SER.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.1"
    },
    "colab": {
      "name": "Untitled.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/swastipriya/Deep-Learning/blob/master/SER.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SwUnuFEfQaPC",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b451a6c9-a01b-417f-fba3-98c7a261be2c"
      },
      "source": [
        "!git clone https://github.com/x4nth055/emotion-recognition-using-speech.git"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "remote: Total 7621 (delta 2), reused 2 (delta 0), pack-reused 7612\u001b[K\n",
            "Receiving objects: 100% (7621/7621), 966.32 MiB | 31.49 MiB/s, done.\n",
            "Resolving deltas: 100% (474/474), done.\n",
            "Checking out files: 100% (6854/6854), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8hs8CyQKoe0c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ed3b4af8-1445-4bfb-d8b6-e6adb064a7d7"
      },
      "source": [
        "%cd  /content/emotion-recognition-using-speech"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/emotion-recognition-using-speech\n",
            "/content/emotion-recognition-using-speech\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k0ypQcWcXitL"
      },
      "source": [
        "!rm -r /content/emotion-recognition-using-speech/data/emodb"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J7oJSVL1nnBO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d2f4b6b1-9c96-4e35-8a11-b90949e97761"
      },
      "source": [
        "from deep_emotion_recognition import DeepEmotionRecognizer\r\n",
        "# initialize instance\r\n",
        "# inherited from emotion_recognition.EmotionRecognizer\r\n",
        "# default parameters (LSTM: 128x2, Dense:128x2)\r\n",
        "deeprec = DeepEmotionRecognizer(emotions=['angry', 'sad', 'neutral', 'happy'], n_rnn_layers=2, n_dense_layers=2, rnn_units=128, dense_units=128)\r\n",
        "# train the model\r\n",
        "deeprec.train()\r\n",
        "# get the accuracy\r\n",
        "print(deeprec.test_score())\r\n",
        "# predict angry audio sample\r\n",
        "# prediction = deeprec.predict('data/validation/Actor_10/03-02-05-02-02-02-10_angry.wav')\r\n",
        "# print(f\"Prediction: {prediction}\")"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[TESS&RAVDESS] There are 817 training audio files for category:angry\n",
            "[TESS&RAVDESS] There are 148 testing audio files for category:angry\n",
            "[TESS&RAVDESS] There are 814 training audio files for category:sad\n",
            "[TESS&RAVDESS] There are 147 testing audio files for category:sad\n",
            "[TESS&RAVDESS] There are 601 training audio files for category:neutral\n",
            "[TESS&RAVDESS] There are 94 testing audio files for category:neutral\n",
            "[TESS&RAVDESS] There are 807 training audio files for category:happy\n",
            "[TESS&RAVDESS] There are 148 testing audio files for category:happy\n",
            "[+] Writed TESS & RAVDESS DB CSV File\n",
            "[EMO-DB] Total files to write: 0\n",
            "[EMO-DB] Training samples: 0\n",
            "[EMO-DB] Testing samples: 0\n",
            "[+] Writed EMO-DB CSV File\n",
            "[Custom Dataset] There are 49 training audio files for category:neutral\n",
            "[Custom Dataset] There are 33 testing audio files for category:neutral\n",
            "[Custom Dataset] There are 48 training audio files for category:happy\n",
            "[Custom Dataset] There are 23 testing audio files for category:happy\n",
            "[+] Writed Custom DB CSV File\n",
            "[+] Data loaded\n",
            "[+] Model created\n",
            "Epoch 1/1000\n",
            "1/1 [==============================] - 3s 3s/step - loss: 1.4883 - accuracy: 0.2631 - val_loss: 1.4437 - val_accuracy: 0.2520\n",
            "\n",
            "Epoch 00001: val_loss improved from inf to 1.44372, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 2/1000\n",
            "1/1 [==============================] - 2s 2s/step - loss: 1.4745 - accuracy: 0.2481 - val_loss: 1.4164 - val_accuracy: 0.2500\n",
            "\n",
            "Epoch 00002: val_loss improved from 1.44372 to 1.41637, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 3/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 1.4532 - accuracy: 0.2435 - val_loss: 1.3888 - val_accuracy: 0.2480\n",
            "\n",
            "Epoch 00003: val_loss improved from 1.41637 to 1.38883, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 4/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 1.4086 - accuracy: 0.2750 - val_loss: 1.3809 - val_accuracy: 0.2500\n",
            "\n",
            "Epoch 00004: val_loss improved from 1.38883 to 1.38092, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 5/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 1.3952 - accuracy: 0.2673 - val_loss: 1.3791 - val_accuracy: 0.2695\n",
            "\n",
            "Epoch 00005: val_loss improved from 1.38092 to 1.37908, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 6/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 1.3918 - accuracy: 0.2819 - val_loss: 1.3776 - val_accuracy: 0.3008\n",
            "\n",
            "Epoch 00006: val_loss improved from 1.37908 to 1.37758, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 7/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 1.3873 - accuracy: 0.2896 - val_loss: 1.3741 - val_accuracy: 0.3320\n",
            "\n",
            "Epoch 00007: val_loss improved from 1.37758 to 1.37411, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 8/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 1.3835 - accuracy: 0.2984 - val_loss: 1.3676 - val_accuracy: 0.3691\n",
            "\n",
            "Epoch 00008: val_loss improved from 1.37411 to 1.36759, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 9/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 1.3730 - accuracy: 0.3210 - val_loss: 1.3597 - val_accuracy: 0.3770\n",
            "\n",
            "Epoch 00009: val_loss improved from 1.36759 to 1.35971, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 10/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 1.3568 - accuracy: 0.3283 - val_loss: 1.3521 - val_accuracy: 0.4121\n",
            "\n",
            "Epoch 00010: val_loss improved from 1.35971 to 1.35213, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 11/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 1.3511 - accuracy: 0.3487 - val_loss: 1.3458 - val_accuracy: 0.3691\n",
            "\n",
            "Epoch 00011: val_loss improved from 1.35213 to 1.34585, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 12/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 1.3407 - accuracy: 0.3525 - val_loss: 1.3392 - val_accuracy: 0.3438\n",
            "\n",
            "Epoch 00012: val_loss improved from 1.34585 to 1.33916, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 13/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 1.3311 - accuracy: 0.3641 - val_loss: 1.3314 - val_accuracy: 0.3516\n",
            "\n",
            "Epoch 00013: val_loss improved from 1.33916 to 1.33140, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 14/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 1.3213 - accuracy: 0.3802 - val_loss: 1.3215 - val_accuracy: 0.3652\n",
            "\n",
            "Epoch 00014: val_loss improved from 1.33140 to 1.32148, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 15/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 1.3069 - accuracy: 0.3963 - val_loss: 1.3092 - val_accuracy: 0.4082\n",
            "\n",
            "Epoch 00015: val_loss improved from 1.32148 to 1.30918, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 16/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 1.2926 - accuracy: 0.4059 - val_loss: 1.2955 - val_accuracy: 0.4375\n",
            "\n",
            "Epoch 00016: val_loss improved from 1.30918 to 1.29545, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 17/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 1.2748 - accuracy: 0.4351 - val_loss: 1.2815 - val_accuracy: 0.4434\n",
            "\n",
            "Epoch 00017: val_loss improved from 1.29545 to 1.28145, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 18/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 1.2563 - accuracy: 0.4320 - val_loss: 1.2664 - val_accuracy: 0.4531\n",
            "\n",
            "Epoch 00018: val_loss improved from 1.28145 to 1.26638, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 19/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 1.2413 - accuracy: 0.4455 - val_loss: 1.2504 - val_accuracy: 0.4590\n",
            "\n",
            "Epoch 00019: val_loss improved from 1.26638 to 1.25043, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 20/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 1.2271 - accuracy: 0.4558 - val_loss: 1.2338 - val_accuracy: 0.4609\n",
            "\n",
            "Epoch 00020: val_loss improved from 1.25043 to 1.23384, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 21/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 1.2038 - accuracy: 0.4747 - val_loss: 1.2161 - val_accuracy: 0.4668\n",
            "\n",
            "Epoch 00021: val_loss improved from 1.23384 to 1.21610, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 22/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 1.1797 - accuracy: 0.4862 - val_loss: 1.1978 - val_accuracy: 0.5020\n",
            "\n",
            "Epoch 00022: val_loss improved from 1.21610 to 1.19783, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 23/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 1.1573 - accuracy: 0.4904 - val_loss: 1.1795 - val_accuracy: 0.5098\n",
            "\n",
            "Epoch 00023: val_loss improved from 1.19783 to 1.17949, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 24/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 1.1344 - accuracy: 0.4954 - val_loss: 1.1604 - val_accuracy: 0.5117\n",
            "\n",
            "Epoch 00024: val_loss improved from 1.17949 to 1.16045, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 25/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 1.1185 - accuracy: 0.5058 - val_loss: 1.1403 - val_accuracy: 0.5195\n",
            "\n",
            "Epoch 00025: val_loss improved from 1.16045 to 1.14026, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 26/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 1.1023 - accuracy: 0.5127 - val_loss: 1.1205 - val_accuracy: 0.5312\n",
            "\n",
            "Epoch 00026: val_loss improved from 1.14026 to 1.12046, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 27/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 1.0672 - accuracy: 0.5369 - val_loss: 1.1007 - val_accuracy: 0.5449\n",
            "\n",
            "Epoch 00027: val_loss improved from 1.12046 to 1.10066, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 28/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 1.0363 - accuracy: 0.5561 - val_loss: 1.0812 - val_accuracy: 0.5762\n",
            "\n",
            "Epoch 00028: val_loss improved from 1.10066 to 1.08117, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 29/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 1.0114 - accuracy: 0.5580 - val_loss: 1.0609 - val_accuracy: 0.5859\n",
            "\n",
            "Epoch 00029: val_loss improved from 1.08117 to 1.06094, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 30/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.9847 - accuracy: 0.5799 - val_loss: 1.0404 - val_accuracy: 0.5977\n",
            "\n",
            "Epoch 00030: val_loss improved from 1.06094 to 1.04041, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 31/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.9569 - accuracy: 0.6068 - val_loss: 1.0198 - val_accuracy: 0.6035\n",
            "\n",
            "Epoch 00031: val_loss improved from 1.04041 to 1.01984, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 32/1000\n",
            "1/1 [==============================] - 0s 314ms/step - loss: 0.9251 - accuracy: 0.6083 - val_loss: 0.9979 - val_accuracy: 0.6230\n",
            "\n",
            "Epoch 00032: val_loss improved from 1.01984 to 0.99787, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 33/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.9096 - accuracy: 0.6240 - val_loss: 0.9745 - val_accuracy: 0.6250\n",
            "\n",
            "Epoch 00033: val_loss improved from 0.99787 to 0.97452, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 34/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.8869 - accuracy: 0.6290 - val_loss: 0.9578 - val_accuracy: 0.6211\n",
            "\n",
            "Epoch 00034: val_loss improved from 0.97452 to 0.95785, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 35/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.8666 - accuracy: 0.6286 - val_loss: 0.9420 - val_accuracy: 0.6230\n",
            "\n",
            "Epoch 00035: val_loss improved from 0.95785 to 0.94197, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 36/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.8457 - accuracy: 0.6571 - val_loss: 0.9174 - val_accuracy: 0.6426\n",
            "\n",
            "Epoch 00036: val_loss improved from 0.94197 to 0.91737, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 37/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.8349 - accuracy: 0.6586 - val_loss: 0.9006 - val_accuracy: 0.6602\n",
            "\n",
            "Epoch 00037: val_loss improved from 0.91737 to 0.90059, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 38/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.8107 - accuracy: 0.6747 - val_loss: 0.8874 - val_accuracy: 0.6504\n",
            "\n",
            "Epoch 00038: val_loss improved from 0.90059 to 0.88736, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 39/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.7688 - accuracy: 0.6793 - val_loss: 0.8734 - val_accuracy: 0.6426\n",
            "\n",
            "Epoch 00039: val_loss improved from 0.88736 to 0.87338, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 40/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.7691 - accuracy: 0.6882 - val_loss: 0.8543 - val_accuracy: 0.6523\n",
            "\n",
            "Epoch 00040: val_loss improved from 0.87338 to 0.85434, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 41/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.7469 - accuracy: 0.6982 - val_loss: 0.8372 - val_accuracy: 0.6543\n",
            "\n",
            "Epoch 00041: val_loss improved from 0.85434 to 0.83723, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 42/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.7386 - accuracy: 0.6989 - val_loss: 0.8216 - val_accuracy: 0.6504\n",
            "\n",
            "Epoch 00042: val_loss improved from 0.83723 to 0.82158, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 43/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.6990 - accuracy: 0.7216 - val_loss: 0.8101 - val_accuracy: 0.6602\n",
            "\n",
            "Epoch 00043: val_loss improved from 0.82158 to 0.81007, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 44/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.7056 - accuracy: 0.7120 - val_loss: 0.7869 - val_accuracy: 0.6582\n",
            "\n",
            "Epoch 00044: val_loss improved from 0.81007 to 0.78690, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 45/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.6815 - accuracy: 0.7247 - val_loss: 0.7731 - val_accuracy: 0.6621\n",
            "\n",
            "Epoch 00045: val_loss improved from 0.78690 to 0.77315, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 46/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.6759 - accuracy: 0.7224 - val_loss: 0.7700 - val_accuracy: 0.6797\n",
            "\n",
            "Epoch 00046: val_loss improved from 0.77315 to 0.77003, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 47/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.6599 - accuracy: 0.7327 - val_loss: 0.7602 - val_accuracy: 0.6719\n",
            "\n",
            "Epoch 00047: val_loss improved from 0.77003 to 0.76023, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 48/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.6465 - accuracy: 0.7392 - val_loss: 0.7462 - val_accuracy: 0.6641\n",
            "\n",
            "Epoch 00048: val_loss improved from 0.76023 to 0.74618, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 49/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.6117 - accuracy: 0.7500 - val_loss: 0.7443 - val_accuracy: 0.6699\n",
            "\n",
            "Epoch 00049: val_loss improved from 0.74618 to 0.74428, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 50/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.6007 - accuracy: 0.7538 - val_loss: 0.7432 - val_accuracy: 0.6777\n",
            "\n",
            "Epoch 00050: val_loss improved from 0.74428 to 0.74316, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 51/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.5960 - accuracy: 0.7485 - val_loss: 0.7385 - val_accuracy: 0.6855\n",
            "\n",
            "Epoch 00051: val_loss improved from 0.74316 to 0.73852, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 52/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.5843 - accuracy: 0.7515 - val_loss: 0.7197 - val_accuracy: 0.6816\n",
            "\n",
            "Epoch 00052: val_loss improved from 0.73852 to 0.71968, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 53/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.5627 - accuracy: 0.7761 - val_loss: 0.7054 - val_accuracy: 0.6719\n",
            "\n",
            "Epoch 00053: val_loss improved from 0.71968 to 0.70535, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 54/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.5675 - accuracy: 0.7723 - val_loss: 0.6998 - val_accuracy: 0.6855\n",
            "\n",
            "Epoch 00054: val_loss improved from 0.70535 to 0.69976, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 55/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.5494 - accuracy: 0.7757 - val_loss: 0.6957 - val_accuracy: 0.6973\n",
            "\n",
            "Epoch 00055: val_loss improved from 0.69976 to 0.69570, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 56/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.5443 - accuracy: 0.7807 - val_loss: 0.6864 - val_accuracy: 0.6914\n",
            "\n",
            "Epoch 00056: val_loss improved from 0.69570 to 0.68643, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 57/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.5330 - accuracy: 0.7838 - val_loss: 0.6743 - val_accuracy: 0.6914\n",
            "\n",
            "Epoch 00057: val_loss improved from 0.68643 to 0.67431, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 58/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.5432 - accuracy: 0.7723 - val_loss: 0.6678 - val_accuracy: 0.6914\n",
            "\n",
            "Epoch 00058: val_loss improved from 0.67431 to 0.66783, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 59/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.5202 - accuracy: 0.7934 - val_loss: 0.6600 - val_accuracy: 0.6953\n",
            "\n",
            "Epoch 00059: val_loss improved from 0.66783 to 0.65997, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 60/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.5078 - accuracy: 0.7919 - val_loss: 0.6585 - val_accuracy: 0.6973\n",
            "\n",
            "Epoch 00060: val_loss improved from 0.65997 to 0.65853, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 61/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.5016 - accuracy: 0.7873 - val_loss: 0.6613 - val_accuracy: 0.6992\n",
            "\n",
            "Epoch 00061: val_loss did not improve from 0.65853\n",
            "Epoch 62/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.5143 - accuracy: 0.7826 - val_loss: 0.6530 - val_accuracy: 0.6914\n",
            "\n",
            "Epoch 00062: val_loss improved from 0.65853 to 0.65303, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 63/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.4813 - accuracy: 0.7934 - val_loss: 0.6479 - val_accuracy: 0.6934\n",
            "\n",
            "Epoch 00063: val_loss improved from 0.65303 to 0.64788, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 64/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.4909 - accuracy: 0.8003 - val_loss: 0.6482 - val_accuracy: 0.6973\n",
            "\n",
            "Epoch 00064: val_loss did not improve from 0.64788\n",
            "Epoch 65/1000\n",
            "1/1 [==============================] - 0s 259ms/step - loss: 0.4861 - accuracy: 0.7942 - val_loss: 0.6427 - val_accuracy: 0.6934\n",
            "\n",
            "Epoch 00065: val_loss improved from 0.64788 to 0.64272, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 66/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 0.4599 - accuracy: 0.8107 - val_loss: 0.6336 - val_accuracy: 0.6973\n",
            "\n",
            "Epoch 00066: val_loss improved from 0.64272 to 0.63358, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 67/1000\n",
            "1/1 [==============================] - 0s 259ms/step - loss: 0.4485 - accuracy: 0.8141 - val_loss: 0.6231 - val_accuracy: 0.7012\n",
            "\n",
            "Epoch 00067: val_loss improved from 0.63358 to 0.62314, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 68/1000\n",
            "1/1 [==============================] - 0s 258ms/step - loss: 0.4431 - accuracy: 0.8137 - val_loss: 0.6149 - val_accuracy: 0.7148\n",
            "\n",
            "Epoch 00068: val_loss improved from 0.62314 to 0.61490, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 69/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.4359 - accuracy: 0.8199 - val_loss: 0.6136 - val_accuracy: 0.7188\n",
            "\n",
            "Epoch 00069: val_loss improved from 0.61490 to 0.61357, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 70/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.4371 - accuracy: 0.8164 - val_loss: 0.6139 - val_accuracy: 0.7266\n",
            "\n",
            "Epoch 00070: val_loss did not improve from 0.61357\n",
            "Epoch 71/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.4380 - accuracy: 0.8199 - val_loss: 0.5991 - val_accuracy: 0.7305\n",
            "\n",
            "Epoch 00071: val_loss improved from 0.61357 to 0.59906, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 72/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.4248 - accuracy: 0.8291 - val_loss: 0.5851 - val_accuracy: 0.7383\n",
            "\n",
            "Epoch 00072: val_loss improved from 0.59906 to 0.58508, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 73/1000\n",
            "1/1 [==============================] - 0s 312ms/step - loss: 0.4188 - accuracy: 0.8318 - val_loss: 0.5855 - val_accuracy: 0.7266\n",
            "\n",
            "Epoch 00073: val_loss did not improve from 0.58508\n",
            "Epoch 74/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.4168 - accuracy: 0.8326 - val_loss: 0.5968 - val_accuracy: 0.7188\n",
            "\n",
            "Epoch 00074: val_loss did not improve from 0.58508\n",
            "Epoch 75/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.4021 - accuracy: 0.8291 - val_loss: 0.5961 - val_accuracy: 0.7324\n",
            "\n",
            "Epoch 00075: val_loss did not improve from 0.58508\n",
            "Epoch 76/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.3887 - accuracy: 0.8379 - val_loss: 0.5770 - val_accuracy: 0.7188\n",
            "\n",
            "Epoch 00076: val_loss improved from 0.58508 to 0.57702, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 77/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.4032 - accuracy: 0.8349 - val_loss: 0.5640 - val_accuracy: 0.7266\n",
            "\n",
            "Epoch 00077: val_loss improved from 0.57702 to 0.56395, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 78/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.3842 - accuracy: 0.8391 - val_loss: 0.5566 - val_accuracy: 0.7363\n",
            "\n",
            "Epoch 00078: val_loss improved from 0.56395 to 0.55665, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 79/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.3856 - accuracy: 0.8422 - val_loss: 0.5502 - val_accuracy: 0.7480\n",
            "\n",
            "Epoch 00079: val_loss improved from 0.55665 to 0.55021, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 80/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.3899 - accuracy: 0.8460 - val_loss: 0.5404 - val_accuracy: 0.7617\n",
            "\n",
            "Epoch 00080: val_loss improved from 0.55021 to 0.54044, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 81/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.3780 - accuracy: 0.8449 - val_loss: 0.5327 - val_accuracy: 0.7559\n",
            "\n",
            "Epoch 00081: val_loss improved from 0.54044 to 0.53268, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 82/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.3598 - accuracy: 0.8552 - val_loss: 0.5383 - val_accuracy: 0.7637\n",
            "\n",
            "Epoch 00082: val_loss did not improve from 0.53268\n",
            "Epoch 83/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 0.3676 - accuracy: 0.8575 - val_loss: 0.5482 - val_accuracy: 0.7520\n",
            "\n",
            "Epoch 00083: val_loss did not improve from 0.53268\n",
            "Epoch 84/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.3520 - accuracy: 0.8621 - val_loss: 0.5345 - val_accuracy: 0.7578\n",
            "\n",
            "Epoch 00084: val_loss did not improve from 0.53268\n",
            "Epoch 85/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.3529 - accuracy: 0.8625 - val_loss: 0.5208 - val_accuracy: 0.7500\n",
            "\n",
            "Epoch 00085: val_loss improved from 0.53268 to 0.52080, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 86/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.3521 - accuracy: 0.8545 - val_loss: 0.5167 - val_accuracy: 0.7637\n",
            "\n",
            "Epoch 00086: val_loss improved from 0.52080 to 0.51670, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 87/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.3199 - accuracy: 0.8675 - val_loss: 0.5219 - val_accuracy: 0.7539\n",
            "\n",
            "Epoch 00087: val_loss did not improve from 0.51670\n",
            "Epoch 88/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.3375 - accuracy: 0.8648 - val_loss: 0.5276 - val_accuracy: 0.7676\n",
            "\n",
            "Epoch 00088: val_loss did not improve from 0.51670\n",
            "Epoch 89/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.3313 - accuracy: 0.8648 - val_loss: 0.5189 - val_accuracy: 0.7617\n",
            "\n",
            "Epoch 00089: val_loss did not improve from 0.51670\n",
            "Epoch 90/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.3496 - accuracy: 0.8618 - val_loss: 0.5068 - val_accuracy: 0.7598\n",
            "\n",
            "Epoch 00090: val_loss improved from 0.51670 to 0.50681, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 91/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.3285 - accuracy: 0.8710 - val_loss: 0.5067 - val_accuracy: 0.7773\n",
            "\n",
            "Epoch 00091: val_loss improved from 0.50681 to 0.50672, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 92/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.3511 - accuracy: 0.8587 - val_loss: 0.5148 - val_accuracy: 0.7754\n",
            "\n",
            "Epoch 00092: val_loss did not improve from 0.50672\n",
            "Epoch 93/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.3147 - accuracy: 0.8710 - val_loss: 0.5081 - val_accuracy: 0.7754\n",
            "\n",
            "Epoch 00093: val_loss did not improve from 0.50672\n",
            "Epoch 94/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.3112 - accuracy: 0.8779 - val_loss: 0.5022 - val_accuracy: 0.7773\n",
            "\n",
            "Epoch 00094: val_loss improved from 0.50672 to 0.50218, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 95/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.3040 - accuracy: 0.8829 - val_loss: 0.5009 - val_accuracy: 0.7676\n",
            "\n",
            "Epoch 00095: val_loss improved from 0.50218 to 0.50094, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 96/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.3019 - accuracy: 0.8802 - val_loss: 0.4986 - val_accuracy: 0.7754\n",
            "\n",
            "Epoch 00096: val_loss improved from 0.50094 to 0.49862, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 97/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.2848 - accuracy: 0.8875 - val_loss: 0.4973 - val_accuracy: 0.7812\n",
            "\n",
            "Epoch 00097: val_loss improved from 0.49862 to 0.49733, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 98/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.2915 - accuracy: 0.8844 - val_loss: 0.5101 - val_accuracy: 0.7793\n",
            "\n",
            "Epoch 00098: val_loss did not improve from 0.49733\n",
            "Epoch 99/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.2935 - accuracy: 0.8798 - val_loss: 0.5169 - val_accuracy: 0.7734\n",
            "\n",
            "Epoch 00099: val_loss did not improve from 0.49733\n",
            "Epoch 100/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.2803 - accuracy: 0.8886 - val_loss: 0.5142 - val_accuracy: 0.7832\n",
            "\n",
            "Epoch 00100: val_loss did not improve from 0.49733\n",
            "Epoch 101/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.3038 - accuracy: 0.8767 - val_loss: 0.4828 - val_accuracy: 0.7949\n",
            "\n",
            "Epoch 00101: val_loss improved from 0.49733 to 0.48279, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 102/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.2774 - accuracy: 0.8848 - val_loss: 0.4803 - val_accuracy: 0.7969\n",
            "\n",
            "Epoch 00102: val_loss improved from 0.48279 to 0.48035, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 103/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.2848 - accuracy: 0.8863 - val_loss: 0.4939 - val_accuracy: 0.7969\n",
            "\n",
            "Epoch 00103: val_loss did not improve from 0.48035\n",
            "Epoch 104/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.2830 - accuracy: 0.8859 - val_loss: 0.5050 - val_accuracy: 0.7891\n",
            "\n",
            "Epoch 00104: val_loss did not improve from 0.48035\n",
            "Epoch 105/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.2721 - accuracy: 0.8925 - val_loss: 0.4728 - val_accuracy: 0.7930\n",
            "\n",
            "Epoch 00105: val_loss improved from 0.48035 to 0.47280, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 106/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.2739 - accuracy: 0.8940 - val_loss: 0.4600 - val_accuracy: 0.7910\n",
            "\n",
            "Epoch 00106: val_loss improved from 0.47280 to 0.46004, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 107/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.2677 - accuracy: 0.8882 - val_loss: 0.4597 - val_accuracy: 0.8105\n",
            "\n",
            "Epoch 00107: val_loss improved from 0.46004 to 0.45969, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 108/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.2539 - accuracy: 0.8998 - val_loss: 0.4838 - val_accuracy: 0.7852\n",
            "\n",
            "Epoch 00108: val_loss did not improve from 0.45969\n",
            "Epoch 109/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.2549 - accuracy: 0.8990 - val_loss: 0.4833 - val_accuracy: 0.7754\n",
            "\n",
            "Epoch 00109: val_loss did not improve from 0.45969\n",
            "Epoch 110/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.2553 - accuracy: 0.8986 - val_loss: 0.4559 - val_accuracy: 0.8066\n",
            "\n",
            "Epoch 00110: val_loss improved from 0.45969 to 0.45594, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 111/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.2483 - accuracy: 0.8978 - val_loss: 0.4737 - val_accuracy: 0.7949\n",
            "\n",
            "Epoch 00111: val_loss did not improve from 0.45594\n",
            "Epoch 112/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.2480 - accuracy: 0.8963 - val_loss: 0.4919 - val_accuracy: 0.7930\n",
            "\n",
            "Epoch 00112: val_loss did not improve from 0.45594\n",
            "Epoch 113/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.2397 - accuracy: 0.9075 - val_loss: 0.4930 - val_accuracy: 0.8008\n",
            "\n",
            "Epoch 00113: val_loss did not improve from 0.45594\n",
            "Epoch 114/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.2448 - accuracy: 0.9017 - val_loss: 0.4792 - val_accuracy: 0.8125\n",
            "\n",
            "Epoch 00114: val_loss did not improve from 0.45594\n",
            "Epoch 115/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.2308 - accuracy: 0.9121 - val_loss: 0.4647 - val_accuracy: 0.8203\n",
            "\n",
            "Epoch 00115: val_loss did not improve from 0.45594\n",
            "Epoch 116/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.2321 - accuracy: 0.9113 - val_loss: 0.4551 - val_accuracy: 0.8164\n",
            "\n",
            "Epoch 00116: val_loss improved from 0.45594 to 0.45505, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 117/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.2296 - accuracy: 0.9059 - val_loss: 0.4641 - val_accuracy: 0.8164\n",
            "\n",
            "Epoch 00117: val_loss did not improve from 0.45505\n",
            "Epoch 118/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.2268 - accuracy: 0.9086 - val_loss: 0.4647 - val_accuracy: 0.8125\n",
            "\n",
            "Epoch 00118: val_loss did not improve from 0.45505\n",
            "Epoch 119/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.2214 - accuracy: 0.9113 - val_loss: 0.4593 - val_accuracy: 0.8086\n",
            "\n",
            "Epoch 00119: val_loss did not improve from 0.45505\n",
            "Epoch 120/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.2266 - accuracy: 0.9117 - val_loss: 0.4569 - val_accuracy: 0.8125\n",
            "\n",
            "Epoch 00120: val_loss did not improve from 0.45505\n",
            "Epoch 121/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.2217 - accuracy: 0.9109 - val_loss: 0.4521 - val_accuracy: 0.8203\n",
            "\n",
            "Epoch 00121: val_loss improved from 0.45505 to 0.45208, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 122/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.2158 - accuracy: 0.9171 - val_loss: 0.4477 - val_accuracy: 0.8203\n",
            "\n",
            "Epoch 00122: val_loss improved from 0.45208 to 0.44771, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 123/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.2195 - accuracy: 0.9101 - val_loss: 0.4415 - val_accuracy: 0.8242\n",
            "\n",
            "Epoch 00123: val_loss improved from 0.44771 to 0.44148, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 124/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.2149 - accuracy: 0.9186 - val_loss: 0.4477 - val_accuracy: 0.8184\n",
            "\n",
            "Epoch 00124: val_loss did not improve from 0.44148\n",
            "Epoch 125/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.2032 - accuracy: 0.9178 - val_loss: 0.4716 - val_accuracy: 0.8203\n",
            "\n",
            "Epoch 00125: val_loss did not improve from 0.44148\n",
            "Epoch 126/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.2150 - accuracy: 0.9186 - val_loss: 0.4697 - val_accuracy: 0.8125\n",
            "\n",
            "Epoch 00126: val_loss did not improve from 0.44148\n",
            "Epoch 127/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.2233 - accuracy: 0.9171 - val_loss: 0.4542 - val_accuracy: 0.8105\n",
            "\n",
            "Epoch 00127: val_loss did not improve from 0.44148\n",
            "Epoch 128/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.2030 - accuracy: 0.9251 - val_loss: 0.4403 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00128: val_loss improved from 0.44148 to 0.44030, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 129/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.2060 - accuracy: 0.9155 - val_loss: 0.4366 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00129: val_loss improved from 0.44030 to 0.43661, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 130/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.1998 - accuracy: 0.9217 - val_loss: 0.4409 - val_accuracy: 0.8223\n",
            "\n",
            "Epoch 00130: val_loss did not improve from 0.43661\n",
            "Epoch 131/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.2020 - accuracy: 0.9190 - val_loss: 0.4341 - val_accuracy: 0.8242\n",
            "\n",
            "Epoch 00131: val_loss improved from 0.43661 to 0.43409, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 132/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.2165 - accuracy: 0.9094 - val_loss: 0.4295 - val_accuracy: 0.8262\n",
            "\n",
            "Epoch 00132: val_loss improved from 0.43409 to 0.42951, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 133/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.1931 - accuracy: 0.9224 - val_loss: 0.4395 - val_accuracy: 0.8301\n",
            "\n",
            "Epoch 00133: val_loss did not improve from 0.42951\n",
            "Epoch 134/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.2027 - accuracy: 0.9251 - val_loss: 0.4374 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00134: val_loss did not improve from 0.42951\n",
            "Epoch 135/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.1941 - accuracy: 0.9255 - val_loss: 0.4294 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00135: val_loss improved from 0.42951 to 0.42939, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 136/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.1841 - accuracy: 0.9343 - val_loss: 0.4262 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00136: val_loss improved from 0.42939 to 0.42623, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 137/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.2049 - accuracy: 0.9136 - val_loss: 0.4284 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00137: val_loss did not improve from 0.42623\n",
            "Epoch 138/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.1739 - accuracy: 0.9270 - val_loss: 0.4297 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00138: val_loss did not improve from 0.42623\n",
            "Epoch 139/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.1897 - accuracy: 0.9267 - val_loss: 0.4220 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00139: val_loss improved from 0.42623 to 0.42197, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 140/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.1867 - accuracy: 0.9267 - val_loss: 0.4347 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00140: val_loss did not improve from 0.42197\n",
            "Epoch 141/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.1850 - accuracy: 0.9217 - val_loss: 0.4392 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00141: val_loss did not improve from 0.42197\n",
            "Epoch 142/1000\n",
            "1/1 [==============================] - 0s 317ms/step - loss: 0.1741 - accuracy: 0.9351 - val_loss: 0.4302 - val_accuracy: 0.8301\n",
            "\n",
            "Epoch 00142: val_loss did not improve from 0.42197\n",
            "Epoch 143/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.1881 - accuracy: 0.9247 - val_loss: 0.4177 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00143: val_loss improved from 0.42197 to 0.41769, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 144/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.1806 - accuracy: 0.9309 - val_loss: 0.4196 - val_accuracy: 0.8242\n",
            "\n",
            "Epoch 00144: val_loss did not improve from 0.41769\n",
            "Epoch 145/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.1774 - accuracy: 0.9320 - val_loss: 0.4359 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00145: val_loss did not improve from 0.41769\n",
            "Epoch 146/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.1930 - accuracy: 0.9259 - val_loss: 0.4380 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00146: val_loss did not improve from 0.41769\n",
            "Epoch 147/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.1873 - accuracy: 0.9247 - val_loss: 0.4315 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00147: val_loss did not improve from 0.41769\n",
            "Epoch 148/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.1692 - accuracy: 0.9382 - val_loss: 0.4293 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00148: val_loss did not improve from 0.41769\n",
            "Epoch 149/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.1656 - accuracy: 0.9343 - val_loss: 0.4385 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00149: val_loss did not improve from 0.41769\n",
            "Epoch 150/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.1741 - accuracy: 0.9328 - val_loss: 0.4495 - val_accuracy: 0.8242\n",
            "\n",
            "Epoch 00150: val_loss did not improve from 0.41769\n",
            "Epoch 151/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.1583 - accuracy: 0.9386 - val_loss: 0.4585 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00151: val_loss did not improve from 0.41769\n",
            "Epoch 152/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 0.1583 - accuracy: 0.9355 - val_loss: 0.4416 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00152: val_loss did not improve from 0.41769\n",
            "Epoch 153/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.1680 - accuracy: 0.9343 - val_loss: 0.4272 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00153: val_loss did not improve from 0.41769\n",
            "Epoch 154/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.1659 - accuracy: 0.9389 - val_loss: 0.4213 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00154: val_loss did not improve from 0.41769\n",
            "Epoch 155/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.1552 - accuracy: 0.9405 - val_loss: 0.4327 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00155: val_loss did not improve from 0.41769\n",
            "Epoch 156/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.1483 - accuracy: 0.9416 - val_loss: 0.4468 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00156: val_loss did not improve from 0.41769\n",
            "Epoch 157/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.1631 - accuracy: 0.9363 - val_loss: 0.4204 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00157: val_loss did not improve from 0.41769\n",
            "Epoch 158/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.1636 - accuracy: 0.9389 - val_loss: 0.4034 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00158: val_loss improved from 0.41769 to 0.40337, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.3_0.3_0.3_0.3.h5\n",
            "Epoch 159/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.1581 - accuracy: 0.9424 - val_loss: 0.4170 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00159: val_loss did not improve from 0.40337\n",
            "Epoch 160/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.1417 - accuracy: 0.9462 - val_loss: 0.4388 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00160: val_loss did not improve from 0.40337\n",
            "Epoch 161/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.1450 - accuracy: 0.9386 - val_loss: 0.4447 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00161: val_loss did not improve from 0.40337\n",
            "Epoch 162/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.1549 - accuracy: 0.9416 - val_loss: 0.4545 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00162: val_loss did not improve from 0.40337\n",
            "Epoch 163/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.1611 - accuracy: 0.9401 - val_loss: 0.4549 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00163: val_loss did not improve from 0.40337\n",
            "Epoch 164/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.1489 - accuracy: 0.9420 - val_loss: 0.4796 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00164: val_loss did not improve from 0.40337\n",
            "Epoch 165/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.1513 - accuracy: 0.9435 - val_loss: 0.4486 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00165: val_loss did not improve from 0.40337\n",
            "Epoch 166/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.1330 - accuracy: 0.9512 - val_loss: 0.4535 - val_accuracy: 0.8301\n",
            "\n",
            "Epoch 00166: val_loss did not improve from 0.40337\n",
            "Epoch 167/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.1560 - accuracy: 0.9424 - val_loss: 0.4671 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00167: val_loss did not improve from 0.40337\n",
            "Epoch 168/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.1430 - accuracy: 0.9497 - val_loss: 0.4795 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00168: val_loss did not improve from 0.40337\n",
            "Epoch 169/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.1415 - accuracy: 0.9451 - val_loss: 0.4654 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00169: val_loss did not improve from 0.40337\n",
            "Epoch 170/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.1459 - accuracy: 0.9470 - val_loss: 0.4296 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00170: val_loss did not improve from 0.40337\n",
            "Epoch 171/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.1459 - accuracy: 0.9439 - val_loss: 0.4284 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00171: val_loss did not improve from 0.40337\n",
            "Epoch 172/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.1399 - accuracy: 0.9505 - val_loss: 0.4438 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00172: val_loss did not improve from 0.40337\n",
            "Epoch 173/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.1513 - accuracy: 0.9435 - val_loss: 0.4574 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00173: val_loss did not improve from 0.40337\n",
            "Epoch 174/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.1363 - accuracy: 0.9455 - val_loss: 0.4447 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00174: val_loss did not improve from 0.40337\n",
            "Epoch 175/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.1329 - accuracy: 0.9493 - val_loss: 0.4382 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00175: val_loss did not improve from 0.40337\n",
            "Epoch 176/1000\n",
            "1/1 [==============================] - 0s 257ms/step - loss: 0.1414 - accuracy: 0.9505 - val_loss: 0.4483 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00176: val_loss did not improve from 0.40337\n",
            "Epoch 177/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.1326 - accuracy: 0.9505 - val_loss: 0.4713 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00177: val_loss did not improve from 0.40337\n",
            "Epoch 178/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.1358 - accuracy: 0.9501 - val_loss: 0.4775 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00178: val_loss did not improve from 0.40337\n",
            "Epoch 179/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.1426 - accuracy: 0.9420 - val_loss: 0.4643 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00179: val_loss did not improve from 0.40337\n",
            "Epoch 180/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.1312 - accuracy: 0.9478 - val_loss: 0.4681 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00180: val_loss did not improve from 0.40337\n",
            "Epoch 181/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.1409 - accuracy: 0.9432 - val_loss: 0.4636 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00181: val_loss did not improve from 0.40337\n",
            "Epoch 182/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.1313 - accuracy: 0.9524 - val_loss: 0.4733 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00182: val_loss did not improve from 0.40337\n",
            "Epoch 183/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.1251 - accuracy: 0.9531 - val_loss: 0.4765 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00183: val_loss did not improve from 0.40337\n",
            "Epoch 184/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.1257 - accuracy: 0.9489 - val_loss: 0.4790 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00184: val_loss did not improve from 0.40337\n",
            "Epoch 185/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.1254 - accuracy: 0.9539 - val_loss: 0.4508 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00185: val_loss did not improve from 0.40337\n",
            "Epoch 186/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.1277 - accuracy: 0.9512 - val_loss: 0.4345 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00186: val_loss did not improve from 0.40337\n",
            "Epoch 187/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.1273 - accuracy: 0.9478 - val_loss: 0.4474 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00187: val_loss did not improve from 0.40337\n",
            "Epoch 188/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.1217 - accuracy: 0.9528 - val_loss: 0.4669 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00188: val_loss did not improve from 0.40337\n",
            "Epoch 189/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.1201 - accuracy: 0.9505 - val_loss: 0.4712 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00189: val_loss did not improve from 0.40337\n",
            "Epoch 190/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.1220 - accuracy: 0.9528 - val_loss: 0.4692 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00190: val_loss did not improve from 0.40337\n",
            "Epoch 191/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.1081 - accuracy: 0.9589 - val_loss: 0.4599 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00191: val_loss did not improve from 0.40337\n",
            "Epoch 192/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.1280 - accuracy: 0.9485 - val_loss: 0.4530 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00192: val_loss did not improve from 0.40337\n",
            "Epoch 193/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.1198 - accuracy: 0.9512 - val_loss: 0.4552 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00193: val_loss did not improve from 0.40337\n",
            "Epoch 194/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.1183 - accuracy: 0.9531 - val_loss: 0.4788 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00194: val_loss did not improve from 0.40337\n",
            "Epoch 195/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.1096 - accuracy: 0.9562 - val_loss: 0.4892 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00195: val_loss did not improve from 0.40337\n",
            "Epoch 196/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.1047 - accuracy: 0.9620 - val_loss: 0.4882 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00196: val_loss did not improve from 0.40337\n",
            "Epoch 197/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.1112 - accuracy: 0.9566 - val_loss: 0.4975 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00197: val_loss did not improve from 0.40337\n",
            "Epoch 198/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.1150 - accuracy: 0.9589 - val_loss: 0.4976 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00198: val_loss did not improve from 0.40337\n",
            "Epoch 199/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.1128 - accuracy: 0.9520 - val_loss: 0.4889 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00199: val_loss did not improve from 0.40337\n",
            "Epoch 200/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.1109 - accuracy: 0.9535 - val_loss: 0.4904 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00200: val_loss did not improve from 0.40337\n",
            "Epoch 201/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.1132 - accuracy: 0.9555 - val_loss: 0.4724 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00201: val_loss did not improve from 0.40337\n",
            "Epoch 202/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.1017 - accuracy: 0.9604 - val_loss: 0.4965 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00202: val_loss did not improve from 0.40337\n",
            "Epoch 203/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.1026 - accuracy: 0.9627 - val_loss: 0.4689 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00203: val_loss did not improve from 0.40337\n",
            "Epoch 204/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.1074 - accuracy: 0.9612 - val_loss: 0.4521 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00204: val_loss did not improve from 0.40337\n",
            "Epoch 205/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.1044 - accuracy: 0.9601 - val_loss: 0.4582 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00205: val_loss did not improve from 0.40337\n",
            "Epoch 206/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.1221 - accuracy: 0.9520 - val_loss: 0.4907 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00206: val_loss did not improve from 0.40337\n",
            "Epoch 207/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0999 - accuracy: 0.9601 - val_loss: 0.5038 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00207: val_loss did not improve from 0.40337\n",
            "Epoch 208/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.1094 - accuracy: 0.9562 - val_loss: 0.4752 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00208: val_loss did not improve from 0.40337\n",
            "Epoch 209/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.1092 - accuracy: 0.9520 - val_loss: 0.4611 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00209: val_loss did not improve from 0.40337\n",
            "Epoch 210/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.1066 - accuracy: 0.9578 - val_loss: 0.4696 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00210: val_loss did not improve from 0.40337\n",
            "Epoch 211/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.1091 - accuracy: 0.9597 - val_loss: 0.4838 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00211: val_loss did not improve from 0.40337\n",
            "Epoch 212/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0987 - accuracy: 0.9635 - val_loss: 0.4848 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00212: val_loss did not improve from 0.40337\n",
            "Epoch 213/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.1046 - accuracy: 0.9608 - val_loss: 0.4875 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00213: val_loss did not improve from 0.40337\n",
            "Epoch 214/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.1004 - accuracy: 0.9631 - val_loss: 0.4995 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00214: val_loss did not improve from 0.40337\n",
            "Epoch 215/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0953 - accuracy: 0.9631 - val_loss: 0.4861 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00215: val_loss did not improve from 0.40337\n",
            "Epoch 216/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.1043 - accuracy: 0.9651 - val_loss: 0.4742 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00216: val_loss did not improve from 0.40337\n",
            "Epoch 217/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0955 - accuracy: 0.9643 - val_loss: 0.4900 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00217: val_loss did not improve from 0.40337\n",
            "Epoch 218/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.0888 - accuracy: 0.9681 - val_loss: 0.5136 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00218: val_loss did not improve from 0.40337\n",
            "Epoch 219/1000\n",
            "1/1 [==============================] - 0s 257ms/step - loss: 0.1129 - accuracy: 0.9520 - val_loss: 0.5010 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00219: val_loss did not improve from 0.40337\n",
            "Epoch 220/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0954 - accuracy: 0.9608 - val_loss: 0.4896 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00220: val_loss did not improve from 0.40337\n",
            "Epoch 221/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0937 - accuracy: 0.9639 - val_loss: 0.4947 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00221: val_loss did not improve from 0.40337\n",
            "Epoch 222/1000\n",
            "1/1 [==============================] - 0s 256ms/step - loss: 0.0861 - accuracy: 0.9658 - val_loss: 0.4869 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00222: val_loss did not improve from 0.40337\n",
            "Epoch 223/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0936 - accuracy: 0.9643 - val_loss: 0.4936 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00223: val_loss did not improve from 0.40337\n",
            "Epoch 224/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.1058 - accuracy: 0.9570 - val_loss: 0.5102 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00224: val_loss did not improve from 0.40337\n",
            "Epoch 225/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.0928 - accuracy: 0.9639 - val_loss: 0.5189 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00225: val_loss did not improve from 0.40337\n",
            "Epoch 226/1000\n",
            "1/1 [==============================] - 0s 252ms/step - loss: 0.0897 - accuracy: 0.9685 - val_loss: 0.5389 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00226: val_loss did not improve from 0.40337\n",
            "Epoch 227/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0900 - accuracy: 0.9647 - val_loss: 0.5186 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00227: val_loss did not improve from 0.40337\n",
            "Epoch 228/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0965 - accuracy: 0.9662 - val_loss: 0.4987 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00228: val_loss did not improve from 0.40337\n",
            "Epoch 229/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.1004 - accuracy: 0.9635 - val_loss: 0.5116 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00229: val_loss did not improve from 0.40337\n",
            "Epoch 230/1000\n",
            "1/1 [==============================] - 0s 255ms/step - loss: 0.0859 - accuracy: 0.9654 - val_loss: 0.5189 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00230: val_loss did not improve from 0.40337\n",
            "Epoch 231/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0942 - accuracy: 0.9643 - val_loss: 0.5158 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00231: val_loss did not improve from 0.40337\n",
            "Epoch 232/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.0984 - accuracy: 0.9612 - val_loss: 0.4910 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00232: val_loss did not improve from 0.40337\n",
            "Epoch 233/1000\n",
            "1/1 [==============================] - 0s 259ms/step - loss: 0.0874 - accuracy: 0.9670 - val_loss: 0.4677 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00233: val_loss did not improve from 0.40337\n",
            "Epoch 234/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0817 - accuracy: 0.9658 - val_loss: 0.4857 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00234: val_loss did not improve from 0.40337\n",
            "Epoch 235/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.0742 - accuracy: 0.9700 - val_loss: 0.5153 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00235: val_loss did not improve from 0.40337\n",
            "Epoch 236/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0735 - accuracy: 0.9716 - val_loss: 0.5347 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00236: val_loss did not improve from 0.40337\n",
            "Epoch 237/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0875 - accuracy: 0.9681 - val_loss: 0.5289 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00237: val_loss did not improve from 0.40337\n",
            "Epoch 238/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0845 - accuracy: 0.9651 - val_loss: 0.5101 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00238: val_loss did not improve from 0.40337\n",
            "Epoch 239/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.0799 - accuracy: 0.9685 - val_loss: 0.5045 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00239: val_loss did not improve from 0.40337\n",
            "Epoch 240/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.0852 - accuracy: 0.9666 - val_loss: 0.5152 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00240: val_loss did not improve from 0.40337\n",
            "Epoch 241/1000\n",
            "1/1 [==============================] - 0s 259ms/step - loss: 0.0824 - accuracy: 0.9666 - val_loss: 0.5384 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00241: val_loss did not improve from 0.40337\n",
            "Epoch 242/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0804 - accuracy: 0.9685 - val_loss: 0.5387 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00242: val_loss did not improve from 0.40337\n",
            "Epoch 243/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.0827 - accuracy: 0.9685 - val_loss: 0.4978 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00243: val_loss did not improve from 0.40337\n",
            "Epoch 244/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.0824 - accuracy: 0.9700 - val_loss: 0.4991 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00244: val_loss did not improve from 0.40337\n",
            "Epoch 245/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0796 - accuracy: 0.9689 - val_loss: 0.5111 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00245: val_loss did not improve from 0.40337\n",
            "Epoch 246/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0807 - accuracy: 0.9674 - val_loss: 0.5071 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00246: val_loss did not improve from 0.40337\n",
            "Epoch 247/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.0738 - accuracy: 0.9704 - val_loss: 0.5276 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00247: val_loss did not improve from 0.40337\n",
            "Epoch 248/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.0896 - accuracy: 0.9681 - val_loss: 0.4945 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00248: val_loss did not improve from 0.40337\n",
            "Epoch 249/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.0780 - accuracy: 0.9708 - val_loss: 0.5044 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00249: val_loss did not improve from 0.40337\n",
            "Epoch 250/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0920 - accuracy: 0.9670 - val_loss: 0.5174 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00250: val_loss did not improve from 0.40337\n",
            "Epoch 251/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0764 - accuracy: 0.9720 - val_loss: 0.5149 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00251: val_loss did not improve from 0.40337\n",
            "Epoch 252/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0755 - accuracy: 0.9704 - val_loss: 0.5155 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00252: val_loss did not improve from 0.40337\n",
            "Epoch 253/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0720 - accuracy: 0.9708 - val_loss: 0.5060 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00253: val_loss did not improve from 0.40337\n",
            "Epoch 254/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0744 - accuracy: 0.9697 - val_loss: 0.5194 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00254: val_loss did not improve from 0.40337\n",
            "Epoch 255/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0663 - accuracy: 0.9766 - val_loss: 0.5450 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00255: val_loss did not improve from 0.40337\n",
            "Epoch 256/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0810 - accuracy: 0.9704 - val_loss: 0.5734 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00256: val_loss did not improve from 0.40337\n",
            "Epoch 257/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0744 - accuracy: 0.9685 - val_loss: 0.5702 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00257: val_loss did not improve from 0.40337\n",
            "Epoch 258/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0734 - accuracy: 0.9693 - val_loss: 0.5209 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00258: val_loss did not improve from 0.40337\n",
            "Epoch 259/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0682 - accuracy: 0.9758 - val_loss: 0.5247 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00259: val_loss did not improve from 0.40337\n",
            "Epoch 260/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0716 - accuracy: 0.9724 - val_loss: 0.5443 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00260: val_loss did not improve from 0.40337\n",
            "Epoch 261/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0759 - accuracy: 0.9693 - val_loss: 0.5427 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00261: val_loss did not improve from 0.40337\n",
            "Epoch 262/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0726 - accuracy: 0.9735 - val_loss: 0.5350 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00262: val_loss did not improve from 0.40337\n",
            "Epoch 263/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0802 - accuracy: 0.9700 - val_loss: 0.5153 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00263: val_loss did not improve from 0.40337\n",
            "Epoch 264/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0717 - accuracy: 0.9724 - val_loss: 0.5404 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00264: val_loss did not improve from 0.40337\n",
            "Epoch 265/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0781 - accuracy: 0.9754 - val_loss: 0.5627 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00265: val_loss did not improve from 0.40337\n",
            "Epoch 266/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0710 - accuracy: 0.9708 - val_loss: 0.5509 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00266: val_loss did not improve from 0.40337\n",
            "Epoch 267/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0676 - accuracy: 0.9770 - val_loss: 0.5436 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00267: val_loss did not improve from 0.40337\n",
            "Epoch 268/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0863 - accuracy: 0.9689 - val_loss: 0.5375 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00268: val_loss did not improve from 0.40337\n",
            "Epoch 269/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0680 - accuracy: 0.9754 - val_loss: 0.5343 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00269: val_loss did not improve from 0.40337\n",
            "Epoch 270/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0738 - accuracy: 0.9716 - val_loss: 0.5294 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00270: val_loss did not improve from 0.40337\n",
            "Epoch 271/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0690 - accuracy: 0.9735 - val_loss: 0.5269 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00271: val_loss did not improve from 0.40337\n",
            "Epoch 272/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0771 - accuracy: 0.9708 - val_loss: 0.5393 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00272: val_loss did not improve from 0.40337\n",
            "Epoch 273/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0684 - accuracy: 0.9743 - val_loss: 0.5391 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00273: val_loss did not improve from 0.40337\n",
            "Epoch 274/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0674 - accuracy: 0.9773 - val_loss: 0.5380 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00274: val_loss did not improve from 0.40337\n",
            "Epoch 275/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0716 - accuracy: 0.9724 - val_loss: 0.5568 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00275: val_loss did not improve from 0.40337\n",
            "Epoch 276/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0595 - accuracy: 0.9754 - val_loss: 0.5483 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00276: val_loss did not improve from 0.40337\n",
            "Epoch 277/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0656 - accuracy: 0.9731 - val_loss: 0.5359 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00277: val_loss did not improve from 0.40337\n",
            "Epoch 278/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0664 - accuracy: 0.9770 - val_loss: 0.5545 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00278: val_loss did not improve from 0.40337\n",
            "Epoch 279/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0691 - accuracy: 0.9731 - val_loss: 0.5981 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00279: val_loss did not improve from 0.40337\n",
            "Epoch 280/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0793 - accuracy: 0.9712 - val_loss: 0.5887 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00280: val_loss did not improve from 0.40337\n",
            "Epoch 281/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0667 - accuracy: 0.9735 - val_loss: 0.5182 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00281: val_loss did not improve from 0.40337\n",
            "Epoch 282/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0536 - accuracy: 0.9808 - val_loss: 0.4906 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00282: val_loss did not improve from 0.40337\n",
            "Epoch 283/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0537 - accuracy: 0.9800 - val_loss: 0.4984 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00283: val_loss did not improve from 0.40337\n",
            "Epoch 284/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0619 - accuracy: 0.9781 - val_loss: 0.5399 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00284: val_loss did not improve from 0.40337\n",
            "Epoch 285/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0574 - accuracy: 0.9773 - val_loss: 0.5757 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00285: val_loss did not improve from 0.40337\n",
            "Epoch 286/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0567 - accuracy: 0.9789 - val_loss: 0.5283 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00286: val_loss did not improve from 0.40337\n",
            "Epoch 287/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0579 - accuracy: 0.9796 - val_loss: 0.5008 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00287: val_loss did not improve from 0.40337\n",
            "Epoch 288/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0604 - accuracy: 0.9785 - val_loss: 0.5192 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00288: val_loss did not improve from 0.40337\n",
            "Epoch 289/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0702 - accuracy: 0.9750 - val_loss: 0.5709 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00289: val_loss did not improve from 0.40337\n",
            "Epoch 290/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0606 - accuracy: 0.9781 - val_loss: 0.5991 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00290: val_loss did not improve from 0.40337\n",
            "Epoch 291/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0603 - accuracy: 0.9747 - val_loss: 0.5896 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00291: val_loss did not improve from 0.40337\n",
            "Epoch 292/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0589 - accuracy: 0.9777 - val_loss: 0.5744 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00292: val_loss did not improve from 0.40337\n",
            "Epoch 293/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0642 - accuracy: 0.9735 - val_loss: 0.5738 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00293: val_loss did not improve from 0.40337\n",
            "Epoch 294/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0531 - accuracy: 0.9793 - val_loss: 0.5869 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00294: val_loss did not improve from 0.40337\n",
            "Epoch 295/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0661 - accuracy: 0.9808 - val_loss: 0.5831 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00295: val_loss did not improve from 0.40337\n",
            "Epoch 296/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0496 - accuracy: 0.9816 - val_loss: 0.5780 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00296: val_loss did not improve from 0.40337\n",
            "Epoch 297/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0688 - accuracy: 0.9735 - val_loss: 0.5863 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00297: val_loss did not improve from 0.40337\n",
            "Epoch 298/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0600 - accuracy: 0.9804 - val_loss: 0.6048 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00298: val_loss did not improve from 0.40337\n",
            "Epoch 299/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.0563 - accuracy: 0.9789 - val_loss: 0.6157 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00299: val_loss did not improve from 0.40337\n",
            "Epoch 300/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0603 - accuracy: 0.9785 - val_loss: 0.5914 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00300: val_loss did not improve from 0.40337\n",
            "Epoch 301/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0588 - accuracy: 0.9800 - val_loss: 0.5602 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00301: val_loss did not improve from 0.40337\n",
            "Epoch 302/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0477 - accuracy: 0.9827 - val_loss: 0.5705 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00302: val_loss did not improve from 0.40337\n",
            "Epoch 303/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0635 - accuracy: 0.9793 - val_loss: 0.6147 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00303: val_loss did not improve from 0.40337\n",
            "Epoch 304/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0618 - accuracy: 0.9789 - val_loss: 0.6042 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00304: val_loss did not improve from 0.40337\n",
            "Epoch 305/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0555 - accuracy: 0.9793 - val_loss: 0.5675 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00305: val_loss did not improve from 0.40337\n",
            "Epoch 306/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0581 - accuracy: 0.9781 - val_loss: 0.5474 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00306: val_loss did not improve from 0.40337\n",
            "Epoch 307/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0585 - accuracy: 0.9785 - val_loss: 0.5469 - val_accuracy: 0.8652\n",
            "\n",
            "Epoch 00307: val_loss did not improve from 0.40337\n",
            "Epoch 308/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0500 - accuracy: 0.9839 - val_loss: 0.6048 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00308: val_loss did not improve from 0.40337\n",
            "Epoch 309/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.0573 - accuracy: 0.9785 - val_loss: 0.6425 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00309: val_loss did not improve from 0.40337\n",
            "Epoch 310/1000\n",
            "1/1 [==============================] - 0s 258ms/step - loss: 0.0563 - accuracy: 0.9766 - val_loss: 0.6197 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00310: val_loss did not improve from 0.40337\n",
            "Epoch 311/1000\n",
            "1/1 [==============================] - 0s 259ms/step - loss: 0.0467 - accuracy: 0.9800 - val_loss: 0.5748 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00311: val_loss did not improve from 0.40337\n",
            "Epoch 312/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0482 - accuracy: 0.9800 - val_loss: 0.5599 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00312: val_loss did not improve from 0.40337\n",
            "Epoch 313/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0552 - accuracy: 0.9812 - val_loss: 0.5860 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00313: val_loss did not improve from 0.40337\n",
            "Epoch 314/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0573 - accuracy: 0.9781 - val_loss: 0.6147 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00314: val_loss did not improve from 0.40337\n",
            "Epoch 315/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0527 - accuracy: 0.9804 - val_loss: 0.6146 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00315: val_loss did not improve from 0.40337\n",
            "Epoch 316/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0557 - accuracy: 0.9812 - val_loss: 0.5953 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00316: val_loss did not improve from 0.40337\n",
            "Epoch 317/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0443 - accuracy: 0.9839 - val_loss: 0.5747 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00317: val_loss did not improve from 0.40337\n",
            "Epoch 318/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0509 - accuracy: 0.9789 - val_loss: 0.5650 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00318: val_loss did not improve from 0.40337\n",
            "Epoch 319/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0531 - accuracy: 0.9777 - val_loss: 0.5538 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00319: val_loss did not improve from 0.40337\n",
            "Epoch 320/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0466 - accuracy: 0.9835 - val_loss: 0.5786 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00320: val_loss did not improve from 0.40337\n",
            "Epoch 321/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0541 - accuracy: 0.9820 - val_loss: 0.6006 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00321: val_loss did not improve from 0.40337\n",
            "Epoch 322/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0482 - accuracy: 0.9820 - val_loss: 0.5849 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00322: val_loss did not improve from 0.40337\n",
            "Epoch 323/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0521 - accuracy: 0.9785 - val_loss: 0.5886 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00323: val_loss did not improve from 0.40337\n",
            "Epoch 324/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0550 - accuracy: 0.9766 - val_loss: 0.6116 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00324: val_loss did not improve from 0.40337\n",
            "Epoch 325/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0518 - accuracy: 0.9812 - val_loss: 0.6096 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00325: val_loss did not improve from 0.40337\n",
            "Epoch 326/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0529 - accuracy: 0.9808 - val_loss: 0.6131 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00326: val_loss did not improve from 0.40337\n",
            "Epoch 327/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0639 - accuracy: 0.9789 - val_loss: 0.6182 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00327: val_loss did not improve from 0.40337\n",
            "Epoch 328/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0492 - accuracy: 0.9850 - val_loss: 0.6459 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00328: val_loss did not improve from 0.40337\n",
            "Epoch 329/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0471 - accuracy: 0.9827 - val_loss: 0.6677 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00329: val_loss did not improve from 0.40337\n",
            "Epoch 330/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.0472 - accuracy: 0.9827 - val_loss: 0.6734 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00330: val_loss did not improve from 0.40337\n",
            "Epoch 331/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0478 - accuracy: 0.9839 - val_loss: 0.6723 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00331: val_loss did not improve from 0.40337\n",
            "Epoch 332/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0528 - accuracy: 0.9800 - val_loss: 0.6345 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00332: val_loss did not improve from 0.40337\n",
            "Epoch 333/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0503 - accuracy: 0.9789 - val_loss: 0.6179 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00333: val_loss did not improve from 0.40337\n",
            "Epoch 334/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0626 - accuracy: 0.9793 - val_loss: 0.6144 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00334: val_loss did not improve from 0.40337\n",
            "Epoch 335/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0552 - accuracy: 0.9816 - val_loss: 0.6272 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00335: val_loss did not improve from 0.40337\n",
            "Epoch 336/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0538 - accuracy: 0.9796 - val_loss: 0.6669 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00336: val_loss did not improve from 0.40337\n",
            "Epoch 337/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0524 - accuracy: 0.9823 - val_loss: 0.6780 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00337: val_loss did not improve from 0.40337\n",
            "Epoch 338/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0531 - accuracy: 0.9812 - val_loss: 0.5953 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00338: val_loss did not improve from 0.40337\n",
            "Epoch 339/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0528 - accuracy: 0.9812 - val_loss: 0.5636 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00339: val_loss did not improve from 0.40337\n",
            "Epoch 340/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0646 - accuracy: 0.9766 - val_loss: 0.5853 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00340: val_loss did not improve from 0.40337\n",
            "Epoch 341/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0461 - accuracy: 0.9820 - val_loss: 0.6899 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00341: val_loss did not improve from 0.40337\n",
            "Epoch 342/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0650 - accuracy: 0.9781 - val_loss: 0.7012 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00342: val_loss did not improve from 0.40337\n",
            "Epoch 343/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0552 - accuracy: 0.9804 - val_loss: 0.6210 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00343: val_loss did not improve from 0.40337\n",
            "Epoch 344/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0522 - accuracy: 0.9796 - val_loss: 0.5703 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00344: val_loss did not improve from 0.40337\n",
            "Epoch 345/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0410 - accuracy: 0.9854 - val_loss: 0.5669 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00345: val_loss did not improve from 0.40337\n",
            "Epoch 346/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0579 - accuracy: 0.9758 - val_loss: 0.6051 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00346: val_loss did not improve from 0.40337\n",
            "Epoch 347/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0611 - accuracy: 0.9796 - val_loss: 0.6348 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00347: val_loss did not improve from 0.40337\n",
            "Epoch 348/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0383 - accuracy: 0.9866 - val_loss: 0.6551 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00348: val_loss did not improve from 0.40337\n",
            "Epoch 349/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0488 - accuracy: 0.9793 - val_loss: 0.6660 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00349: val_loss did not improve from 0.40337\n",
            "Epoch 350/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0495 - accuracy: 0.9831 - val_loss: 0.6287 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00350: val_loss did not improve from 0.40337\n",
            "Epoch 351/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0404 - accuracy: 0.9866 - val_loss: 0.5962 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00351: val_loss did not improve from 0.40337\n",
            "Epoch 352/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0535 - accuracy: 0.9820 - val_loss: 0.6016 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00352: val_loss did not improve from 0.40337\n",
            "Epoch 353/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0474 - accuracy: 0.9823 - val_loss: 0.6212 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00353: val_loss did not improve from 0.40337\n",
            "Epoch 354/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0516 - accuracy: 0.9820 - val_loss: 0.6396 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00354: val_loss did not improve from 0.40337\n",
            "Epoch 355/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0442 - accuracy: 0.9846 - val_loss: 0.6529 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00355: val_loss did not improve from 0.40337\n",
            "Epoch 356/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0503 - accuracy: 0.9812 - val_loss: 0.6307 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00356: val_loss did not improve from 0.40337\n",
            "Epoch 357/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0488 - accuracy: 0.9827 - val_loss: 0.6073 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00357: val_loss did not improve from 0.40337\n",
            "Epoch 358/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0442 - accuracy: 0.9835 - val_loss: 0.5784 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00358: val_loss did not improve from 0.40337\n",
            "Epoch 359/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0372 - accuracy: 0.9846 - val_loss: 0.5869 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00359: val_loss did not improve from 0.40337\n",
            "Epoch 360/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0407 - accuracy: 0.9869 - val_loss: 0.5917 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00360: val_loss did not improve from 0.40337\n",
            "Epoch 361/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.0451 - accuracy: 0.9843 - val_loss: 0.6124 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00361: val_loss did not improve from 0.40337\n",
            "Epoch 362/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0451 - accuracy: 0.9816 - val_loss: 0.6693 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00362: val_loss did not improve from 0.40337\n",
            "Epoch 363/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 0.0415 - accuracy: 0.9858 - val_loss: 0.6654 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00363: val_loss did not improve from 0.40337\n",
            "Epoch 364/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0506 - accuracy: 0.9812 - val_loss: 0.6054 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00364: val_loss did not improve from 0.40337\n",
            "Epoch 365/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.0381 - accuracy: 0.9854 - val_loss: 0.5941 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00365: val_loss did not improve from 0.40337\n",
            "Epoch 366/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0369 - accuracy: 0.9850 - val_loss: 0.5946 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00366: val_loss did not improve from 0.40337\n",
            "Epoch 367/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0397 - accuracy: 0.9846 - val_loss: 0.6159 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00367: val_loss did not improve from 0.40337\n",
            "Epoch 368/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.0422 - accuracy: 0.9850 - val_loss: 0.6495 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00368: val_loss did not improve from 0.40337\n",
            "Epoch 369/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0432 - accuracy: 0.9858 - val_loss: 0.6751 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00369: val_loss did not improve from 0.40337\n",
            "Epoch 370/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0369 - accuracy: 0.9866 - val_loss: 0.6526 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00370: val_loss did not improve from 0.40337\n",
            "Epoch 371/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0335 - accuracy: 0.9889 - val_loss: 0.6253 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00371: val_loss did not improve from 0.40337\n",
            "Epoch 372/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0384 - accuracy: 0.9873 - val_loss: 0.6160 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00372: val_loss did not improve from 0.40337\n",
            "Epoch 373/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0458 - accuracy: 0.9869 - val_loss: 0.6139 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00373: val_loss did not improve from 0.40337\n",
            "Epoch 374/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0452 - accuracy: 0.9850 - val_loss: 0.6364 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00374: val_loss did not improve from 0.40337\n",
            "Epoch 375/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0318 - accuracy: 0.9889 - val_loss: 0.6754 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00375: val_loss did not improve from 0.40337\n",
            "Epoch 376/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0391 - accuracy: 0.9862 - val_loss: 0.6877 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00376: val_loss did not improve from 0.40337\n",
            "Epoch 377/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0416 - accuracy: 0.9881 - val_loss: 0.6930 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00377: val_loss did not improve from 0.40337\n",
            "Epoch 378/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0317 - accuracy: 0.9885 - val_loss: 0.6683 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00378: val_loss did not improve from 0.40337\n",
            "Epoch 379/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0433 - accuracy: 0.9820 - val_loss: 0.6540 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00379: val_loss did not improve from 0.40337\n",
            "Epoch 380/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0454 - accuracy: 0.9843 - val_loss: 0.6677 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00380: val_loss did not improve from 0.40337\n",
            "Epoch 381/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0351 - accuracy: 0.9877 - val_loss: 0.6923 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00381: val_loss did not improve from 0.40337\n",
            "Epoch 382/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0477 - accuracy: 0.9835 - val_loss: 0.6877 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00382: val_loss did not improve from 0.40337\n",
            "Epoch 383/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0420 - accuracy: 0.9839 - val_loss: 0.6734 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00383: val_loss did not improve from 0.40337\n",
            "Epoch 384/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0434 - accuracy: 0.9846 - val_loss: 0.6404 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00384: val_loss did not improve from 0.40337\n",
            "Epoch 385/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.0409 - accuracy: 0.9846 - val_loss: 0.6140 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00385: val_loss did not improve from 0.40337\n",
            "Epoch 386/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.0370 - accuracy: 0.9908 - val_loss: 0.6016 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00386: val_loss did not improve from 0.40337\n",
            "Epoch 387/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.0473 - accuracy: 0.9843 - val_loss: 0.6100 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00387: val_loss did not improve from 0.40337\n",
            "Epoch 388/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.0473 - accuracy: 0.9854 - val_loss: 0.6179 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00388: val_loss did not improve from 0.40337\n",
            "Epoch 389/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.0338 - accuracy: 0.9881 - val_loss: 0.6302 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00389: val_loss did not improve from 0.40337\n",
            "Epoch 390/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0402 - accuracy: 0.9869 - val_loss: 0.6466 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00390: val_loss did not improve from 0.40337\n",
            "Epoch 391/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0472 - accuracy: 0.9839 - val_loss: 0.6397 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00391: val_loss did not improve from 0.40337\n",
            "Epoch 392/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0338 - accuracy: 0.9881 - val_loss: 0.6142 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00392: val_loss did not improve from 0.40337\n",
            "Epoch 393/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0389 - accuracy: 0.9850 - val_loss: 0.6134 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00393: val_loss did not improve from 0.40337\n",
            "Epoch 394/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0370 - accuracy: 0.9889 - val_loss: 0.6583 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00394: val_loss did not improve from 0.40337\n",
            "Epoch 395/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0311 - accuracy: 0.9866 - val_loss: 0.6980 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00395: val_loss did not improve from 0.40337\n",
            "Epoch 396/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0399 - accuracy: 0.9862 - val_loss: 0.6953 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00396: val_loss did not improve from 0.40337\n",
            "Epoch 397/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0401 - accuracy: 0.9854 - val_loss: 0.6618 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00397: val_loss did not improve from 0.40337\n",
            "Epoch 398/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0474 - accuracy: 0.9835 - val_loss: 0.6564 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00398: val_loss did not improve from 0.40337\n",
            "Epoch 399/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0434 - accuracy: 0.9862 - val_loss: 0.6723 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00399: val_loss did not improve from 0.40337\n",
            "Epoch 400/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0276 - accuracy: 0.9908 - val_loss: 0.7255 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00400: val_loss did not improve from 0.40337\n",
            "Epoch 401/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0424 - accuracy: 0.9854 - val_loss: 0.7156 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00401: val_loss did not improve from 0.40337\n",
            "Epoch 402/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0417 - accuracy: 0.9862 - val_loss: 0.6542 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00402: val_loss did not improve from 0.40337\n",
            "Epoch 403/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0343 - accuracy: 0.9866 - val_loss: 0.6514 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00403: val_loss did not improve from 0.40337\n",
            "Epoch 404/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0341 - accuracy: 0.9869 - val_loss: 0.6708 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00404: val_loss did not improve from 0.40337\n",
            "Epoch 405/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0495 - accuracy: 0.9835 - val_loss: 0.6841 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00405: val_loss did not improve from 0.40337\n",
            "Epoch 406/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0335 - accuracy: 0.9877 - val_loss: 0.7089 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00406: val_loss did not improve from 0.40337\n",
            "Epoch 407/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0370 - accuracy: 0.9854 - val_loss: 0.6788 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00407: val_loss did not improve from 0.40337\n",
            "Epoch 408/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0363 - accuracy: 0.9869 - val_loss: 0.6339 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00408: val_loss did not improve from 0.40337\n",
            "Epoch 409/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.0350 - accuracy: 0.9862 - val_loss: 0.6082 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00409: val_loss did not improve from 0.40337\n",
            "Epoch 410/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0390 - accuracy: 0.9839 - val_loss: 0.6579 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00410: val_loss did not improve from 0.40337\n",
            "Epoch 411/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0456 - accuracy: 0.9858 - val_loss: 0.7911 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00411: val_loss did not improve from 0.40337\n",
            "Epoch 412/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0472 - accuracy: 0.9831 - val_loss: 0.7452 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00412: val_loss did not improve from 0.40337\n",
            "Epoch 413/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0510 - accuracy: 0.9831 - val_loss: 0.6600 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00413: val_loss did not improve from 0.40337\n",
            "Epoch 414/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0453 - accuracy: 0.9858 - val_loss: 0.6161 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00414: val_loss did not improve from 0.40337\n",
            "Epoch 415/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0447 - accuracy: 0.9823 - val_loss: 0.6165 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00415: val_loss did not improve from 0.40337\n",
            "Epoch 416/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0425 - accuracy: 0.9846 - val_loss: 0.6789 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00416: val_loss did not improve from 0.40337\n",
            "Epoch 417/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0424 - accuracy: 0.9846 - val_loss: 0.8167 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00417: val_loss did not improve from 0.40337\n",
            "Epoch 418/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0432 - accuracy: 0.9858 - val_loss: 0.8921 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00418: val_loss did not improve from 0.40337\n",
            "Epoch 419/1000\n",
            "1/1 [==============================] - 0s 260ms/step - loss: 0.0570 - accuracy: 0.9816 - val_loss: 0.7856 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00419: val_loss did not improve from 0.40337\n",
            "Epoch 420/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0360 - accuracy: 0.9889 - val_loss: 0.7051 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00420: val_loss did not improve from 0.40337\n",
            "Epoch 421/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0484 - accuracy: 0.9827 - val_loss: 0.7141 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00421: val_loss did not improve from 0.40337\n",
            "Epoch 422/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0412 - accuracy: 0.9843 - val_loss: 0.7521 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00422: val_loss did not improve from 0.40337\n",
            "Epoch 423/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0440 - accuracy: 0.9850 - val_loss: 0.8002 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00423: val_loss did not improve from 0.40337\n",
            "Epoch 424/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0307 - accuracy: 0.9896 - val_loss: 0.8620 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00424: val_loss did not improve from 0.40337\n",
            "Epoch 425/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0459 - accuracy: 0.9835 - val_loss: 0.8481 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00425: val_loss did not improve from 0.40337\n",
            "Epoch 426/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0364 - accuracy: 0.9873 - val_loss: 0.7888 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00426: val_loss did not improve from 0.40337\n",
            "Epoch 427/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0458 - accuracy: 0.9823 - val_loss: 0.7221 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00427: val_loss did not improve from 0.40337\n",
            "Epoch 428/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0417 - accuracy: 0.9823 - val_loss: 0.7165 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00428: val_loss did not improve from 0.40337\n",
            "Epoch 429/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0448 - accuracy: 0.9835 - val_loss: 0.7349 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00429: val_loss did not improve from 0.40337\n",
            "Epoch 430/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0534 - accuracy: 0.9804 - val_loss: 0.7535 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00430: val_loss did not improve from 0.40337\n",
            "Epoch 431/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0345 - accuracy: 0.9896 - val_loss: 0.7792 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00431: val_loss did not improve from 0.40337\n",
            "Epoch 432/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0385 - accuracy: 0.9866 - val_loss: 0.7627 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00432: val_loss did not improve from 0.40337\n",
            "Epoch 433/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0292 - accuracy: 0.9904 - val_loss: 0.7472 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00433: val_loss did not improve from 0.40337\n",
            "Epoch 434/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0287 - accuracy: 0.9889 - val_loss: 0.7459 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00434: val_loss did not improve from 0.40337\n",
            "Epoch 435/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0234 - accuracy: 0.9919 - val_loss: 0.7411 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00435: val_loss did not improve from 0.40337\n",
            "Epoch 436/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0356 - accuracy: 0.9889 - val_loss: 0.7234 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00436: val_loss did not improve from 0.40337\n",
            "Epoch 437/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0353 - accuracy: 0.9881 - val_loss: 0.6997 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00437: val_loss did not improve from 0.40337\n",
            "Epoch 438/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0366 - accuracy: 0.9869 - val_loss: 0.6923 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00438: val_loss did not improve from 0.40337\n",
            "Epoch 439/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0250 - accuracy: 0.9919 - val_loss: 0.7186 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00439: val_loss did not improve from 0.40337\n",
            "Epoch 440/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0413 - accuracy: 0.9850 - val_loss: 0.7660 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00440: val_loss did not improve from 0.40337\n",
            "Epoch 441/1000\n",
            "1/1 [==============================] - 0s 265ms/step - loss: 0.0307 - accuracy: 0.9881 - val_loss: 0.7658 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00441: val_loss did not improve from 0.40337\n",
            "Epoch 442/1000\n",
            "1/1 [==============================] - 0s 262ms/step - loss: 0.0355 - accuracy: 0.9885 - val_loss: 0.7293 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00442: val_loss did not improve from 0.40337\n",
            "Epoch 443/1000\n",
            "1/1 [==============================] - 0s 257ms/step - loss: 0.0374 - accuracy: 0.9873 - val_loss: 0.6927 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00443: val_loss did not improve from 0.40337\n",
            "Epoch 444/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0313 - accuracy: 0.9873 - val_loss: 0.7085 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00444: val_loss did not improve from 0.40337\n",
            "Epoch 445/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0333 - accuracy: 0.9881 - val_loss: 0.7414 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00445: val_loss did not improve from 0.40337\n",
            "Epoch 446/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0246 - accuracy: 0.9923 - val_loss: 0.7789 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00446: val_loss did not improve from 0.40337\n",
            "Epoch 447/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0318 - accuracy: 0.9877 - val_loss: 0.7954 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00447: val_loss did not improve from 0.40337\n",
            "Epoch 448/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0336 - accuracy: 0.9881 - val_loss: 0.7486 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00448: val_loss did not improve from 0.40337\n",
            "Epoch 449/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0240 - accuracy: 0.9916 - val_loss: 0.7103 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00449: val_loss did not improve from 0.40337\n",
            "Epoch 450/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0331 - accuracy: 0.9892 - val_loss: 0.6987 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00450: val_loss did not improve from 0.40337\n",
            "Epoch 451/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.0264 - accuracy: 0.9912 - val_loss: 0.7198 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00451: val_loss did not improve from 0.40337\n",
            "Epoch 452/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0264 - accuracy: 0.9912 - val_loss: 0.7607 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00452: val_loss did not improve from 0.40337\n",
            "Epoch 453/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0285 - accuracy: 0.9900 - val_loss: 0.7857 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00453: val_loss did not improve from 0.40337\n",
            "Epoch 454/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0362 - accuracy: 0.9869 - val_loss: 0.7480 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00454: val_loss did not improve from 0.40337\n",
            "Epoch 455/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0261 - accuracy: 0.9904 - val_loss: 0.6955 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00455: val_loss did not improve from 0.40337\n",
            "Epoch 456/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.0298 - accuracy: 0.9904 - val_loss: 0.6530 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00456: val_loss did not improve from 0.40337\n",
            "Epoch 457/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0320 - accuracy: 0.9889 - val_loss: 0.6376 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00457: val_loss did not improve from 0.40337\n",
            "Epoch 458/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0252 - accuracy: 0.9916 - val_loss: 0.6494 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00458: val_loss did not improve from 0.40337\n",
            "Epoch 459/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0355 - accuracy: 0.9885 - val_loss: 0.6807 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00459: val_loss did not improve from 0.40337\n",
            "Epoch 460/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0313 - accuracy: 0.9896 - val_loss: 0.7108 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00460: val_loss did not improve from 0.40337\n",
            "Epoch 461/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0381 - accuracy: 0.9881 - val_loss: 0.7065 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00461: val_loss did not improve from 0.40337\n",
            "Epoch 462/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0382 - accuracy: 0.9843 - val_loss: 0.7010 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00462: val_loss did not improve from 0.40337\n",
            "Epoch 463/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0294 - accuracy: 0.9908 - val_loss: 0.7167 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00463: val_loss did not improve from 0.40337\n",
            "Epoch 464/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0383 - accuracy: 0.9892 - val_loss: 0.7255 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00464: val_loss did not improve from 0.40337\n",
            "Epoch 465/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0251 - accuracy: 0.9900 - val_loss: 0.7331 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00465: val_loss did not improve from 0.40337\n",
            "Epoch 466/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0299 - accuracy: 0.9881 - val_loss: 0.7256 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00466: val_loss did not improve from 0.40337\n",
            "Epoch 467/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0307 - accuracy: 0.9889 - val_loss: 0.7205 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00467: val_loss did not improve from 0.40337\n",
            "Epoch 468/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0233 - accuracy: 0.9939 - val_loss: 0.7003 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00468: val_loss did not improve from 0.40337\n",
            "Epoch 469/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0348 - accuracy: 0.9873 - val_loss: 0.6976 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00469: val_loss did not improve from 0.40337\n",
            "Epoch 470/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0337 - accuracy: 0.9858 - val_loss: 0.7481 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00470: val_loss did not improve from 0.40337\n",
            "Epoch 471/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0224 - accuracy: 0.9919 - val_loss: 0.7805 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00471: val_loss did not improve from 0.40337\n",
            "Epoch 472/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0268 - accuracy: 0.9912 - val_loss: 0.7723 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00472: val_loss did not improve from 0.40337\n",
            "Epoch 473/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0238 - accuracy: 0.9912 - val_loss: 0.7422 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00473: val_loss did not improve from 0.40337\n",
            "Epoch 474/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0334 - accuracy: 0.9881 - val_loss: 0.7149 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00474: val_loss did not improve from 0.40337\n",
            "Epoch 475/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0236 - accuracy: 0.9919 - val_loss: 0.7088 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00475: val_loss did not improve from 0.40337\n",
            "Epoch 476/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0303 - accuracy: 0.9873 - val_loss: 0.7307 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00476: val_loss did not improve from 0.40337\n",
            "Epoch 477/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0327 - accuracy: 0.9881 - val_loss: 0.7534 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00477: val_loss did not improve from 0.40337\n",
            "Epoch 478/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0276 - accuracy: 0.9912 - val_loss: 0.7889 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00478: val_loss did not improve from 0.40337\n",
            "Epoch 479/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0209 - accuracy: 0.9927 - val_loss: 0.8211 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00479: val_loss did not improve from 0.40337\n",
            "Epoch 480/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0239 - accuracy: 0.9919 - val_loss: 0.7771 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00480: val_loss did not improve from 0.40337\n",
            "Epoch 481/1000\n",
            "1/1 [==============================] - 0s 261ms/step - loss: 0.0236 - accuracy: 0.9896 - val_loss: 0.7223 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00481: val_loss did not improve from 0.40337\n",
            "Epoch 482/1000\n",
            "1/1 [==============================] - 0s 264ms/step - loss: 0.0254 - accuracy: 0.9912 - val_loss: 0.6925 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00482: val_loss did not improve from 0.40337\n",
            "Epoch 483/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0276 - accuracy: 0.9923 - val_loss: 0.6859 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00483: val_loss did not improve from 0.40337\n",
            "Epoch 484/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0351 - accuracy: 0.9919 - val_loss: 0.7120 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00484: val_loss did not improve from 0.40337\n",
            "Epoch 485/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0369 - accuracy: 0.9889 - val_loss: 0.7155 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00485: val_loss did not improve from 0.40337\n",
            "Epoch 486/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0343 - accuracy: 0.9889 - val_loss: 0.7204 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00486: val_loss did not improve from 0.40337\n",
            "Epoch 487/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0246 - accuracy: 0.9908 - val_loss: 0.7119 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00487: val_loss did not improve from 0.40337\n",
            "Epoch 488/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0304 - accuracy: 0.9896 - val_loss: 0.7207 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00488: val_loss did not improve from 0.40337\n",
            "Epoch 489/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0225 - accuracy: 0.9923 - val_loss: 0.7240 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00489: val_loss did not improve from 0.40337\n",
            "Epoch 490/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0229 - accuracy: 0.9939 - val_loss: 0.7168 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00490: val_loss did not improve from 0.40337\n",
            "Epoch 491/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0267 - accuracy: 0.9919 - val_loss: 0.6978 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00491: val_loss did not improve from 0.40337\n",
            "Epoch 492/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0276 - accuracy: 0.9896 - val_loss: 0.7122 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00492: val_loss did not improve from 0.40337\n",
            "Epoch 493/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0265 - accuracy: 0.9896 - val_loss: 0.7362 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00493: val_loss did not improve from 0.40337\n",
            "Epoch 494/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0292 - accuracy: 0.9908 - val_loss: 0.7235 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00494: val_loss did not improve from 0.40337\n",
            "Epoch 495/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0243 - accuracy: 0.9919 - val_loss: 0.7326 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00495: val_loss did not improve from 0.40337\n",
            "Epoch 496/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0238 - accuracy: 0.9919 - val_loss: 0.7165 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00496: val_loss did not improve from 0.40337\n",
            "Epoch 497/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0254 - accuracy: 0.9912 - val_loss: 0.6806 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00497: val_loss did not improve from 0.40337\n",
            "Epoch 498/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0300 - accuracy: 0.9904 - val_loss: 0.6617 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00498: val_loss did not improve from 0.40337\n",
            "Epoch 499/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0185 - accuracy: 0.9939 - val_loss: 0.6705 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00499: val_loss did not improve from 0.40337\n",
            "Epoch 500/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0269 - accuracy: 0.9904 - val_loss: 0.6833 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00500: val_loss did not improve from 0.40337\n",
            "Epoch 501/1000\n",
            "1/1 [==============================] - 0s 316ms/step - loss: 0.0239 - accuracy: 0.9908 - val_loss: 0.7121 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00501: val_loss did not improve from 0.40337\n",
            "Epoch 502/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0232 - accuracy: 0.9931 - val_loss: 0.7409 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00502: val_loss did not improve from 0.40337\n",
            "Epoch 503/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0241 - accuracy: 0.9916 - val_loss: 0.7360 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00503: val_loss did not improve from 0.40337\n",
            "Epoch 504/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0302 - accuracy: 0.9900 - val_loss: 0.7409 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00504: val_loss did not improve from 0.40337\n",
            "Epoch 505/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0261 - accuracy: 0.9912 - val_loss: 0.7185 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00505: val_loss did not improve from 0.40337\n",
            "Epoch 506/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0232 - accuracy: 0.9939 - val_loss: 0.7226 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00506: val_loss did not improve from 0.40337\n",
            "Epoch 507/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0278 - accuracy: 0.9892 - val_loss: 0.7574 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00507: val_loss did not improve from 0.40337\n",
            "Epoch 508/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0238 - accuracy: 0.9939 - val_loss: 0.7665 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00508: val_loss did not improve from 0.40337\n",
            "Epoch 509/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0210 - accuracy: 0.9931 - val_loss: 0.7557 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00509: val_loss did not improve from 0.40337\n",
            "Epoch 510/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0212 - accuracy: 0.9939 - val_loss: 0.7544 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00510: val_loss did not improve from 0.40337\n",
            "Epoch 511/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0259 - accuracy: 0.9904 - val_loss: 0.7259 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00511: val_loss did not improve from 0.40337\n",
            "Epoch 512/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0283 - accuracy: 0.9900 - val_loss: 0.6830 - val_accuracy: 0.8652\n",
            "\n",
            "Epoch 00512: val_loss did not improve from 0.40337\n",
            "Epoch 513/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0207 - accuracy: 0.9927 - val_loss: 0.6848 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00513: val_loss did not improve from 0.40337\n",
            "Epoch 514/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0291 - accuracy: 0.9908 - val_loss: 0.7050 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00514: val_loss did not improve from 0.40337\n",
            "Epoch 515/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0192 - accuracy: 0.9916 - val_loss: 0.7427 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00515: val_loss did not improve from 0.40337\n",
            "Epoch 516/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0295 - accuracy: 0.9908 - val_loss: 0.7647 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00516: val_loss did not improve from 0.40337\n",
            "Epoch 517/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0352 - accuracy: 0.9904 - val_loss: 0.7043 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00517: val_loss did not improve from 0.40337\n",
            "Epoch 518/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0214 - accuracy: 0.9931 - val_loss: 0.6605 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00518: val_loss did not improve from 0.40337\n",
            "Epoch 519/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.0222 - accuracy: 0.9916 - val_loss: 0.6633 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00519: val_loss did not improve from 0.40337\n",
            "Epoch 520/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0250 - accuracy: 0.9908 - val_loss: 0.7047 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00520: val_loss did not improve from 0.40337\n",
            "Epoch 521/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0286 - accuracy: 0.9892 - val_loss: 0.7649 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00521: val_loss did not improve from 0.40337\n",
            "Epoch 522/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0294 - accuracy: 0.9904 - val_loss: 0.8274 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00522: val_loss did not improve from 0.40337\n",
            "Epoch 523/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0247 - accuracy: 0.9916 - val_loss: 0.8470 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00523: val_loss did not improve from 0.40337\n",
            "Epoch 524/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0234 - accuracy: 0.9923 - val_loss: 0.8440 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00524: val_loss did not improve from 0.40337\n",
            "Epoch 525/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0254 - accuracy: 0.9927 - val_loss: 0.7850 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00525: val_loss did not improve from 0.40337\n",
            "Epoch 526/1000\n",
            "1/1 [==============================] - 0s 263ms/step - loss: 0.0249 - accuracy: 0.9912 - val_loss: 0.7331 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00526: val_loss did not improve from 0.40337\n",
            "Epoch 527/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0210 - accuracy: 0.9942 - val_loss: 0.7279 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00527: val_loss did not improve from 0.40337\n",
            "Epoch 528/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0234 - accuracy: 0.9946 - val_loss: 0.7485 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00528: val_loss did not improve from 0.40337\n",
            "Epoch 529/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0196 - accuracy: 0.9931 - val_loss: 0.7522 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00529: val_loss did not improve from 0.40337\n",
            "Epoch 530/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0218 - accuracy: 0.9916 - val_loss: 0.7567 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00530: val_loss did not improve from 0.40337\n",
            "Epoch 531/1000\n",
            "1/1 [==============================] - 0s 326ms/step - loss: 0.0290 - accuracy: 0.9912 - val_loss: 0.7715 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00531: val_loss did not improve from 0.40337\n",
            "Epoch 532/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0286 - accuracy: 0.9896 - val_loss: 0.7613 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00532: val_loss did not improve from 0.40337\n",
            "Epoch 533/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0226 - accuracy: 0.9916 - val_loss: 0.7440 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00533: val_loss did not improve from 0.40337\n",
            "Epoch 534/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0205 - accuracy: 0.9942 - val_loss: 0.7361 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00534: val_loss did not improve from 0.40337\n",
            "Epoch 535/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0167 - accuracy: 0.9931 - val_loss: 0.7376 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00535: val_loss did not improve from 0.40337\n",
            "Epoch 536/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0276 - accuracy: 0.9916 - val_loss: 0.7582 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00536: val_loss did not improve from 0.40337\n",
            "Epoch 537/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0210 - accuracy: 0.9923 - val_loss: 0.7574 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00537: val_loss did not improve from 0.40337\n",
            "Epoch 538/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0195 - accuracy: 0.9939 - val_loss: 0.7683 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00538: val_loss did not improve from 0.40337\n",
            "Epoch 539/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0346 - accuracy: 0.9892 - val_loss: 0.7544 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00539: val_loss did not improve from 0.40337\n",
            "Epoch 540/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0247 - accuracy: 0.9904 - val_loss: 0.7514 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00540: val_loss did not improve from 0.40337\n",
            "Epoch 541/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0227 - accuracy: 0.9904 - val_loss: 0.7591 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00541: val_loss did not improve from 0.40337\n",
            "Epoch 542/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0215 - accuracy: 0.9935 - val_loss: 0.7873 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00542: val_loss did not improve from 0.40337\n",
            "Epoch 543/1000\n",
            "1/1 [==============================] - 0s 266ms/step - loss: 0.0294 - accuracy: 0.9904 - val_loss: 0.8099 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00543: val_loss did not improve from 0.40337\n",
            "Epoch 544/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0307 - accuracy: 0.9912 - val_loss: 0.7797 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00544: val_loss did not improve from 0.40337\n",
            "Epoch 545/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0215 - accuracy: 0.9942 - val_loss: 0.7607 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00545: val_loss did not improve from 0.40337\n",
            "Epoch 546/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0236 - accuracy: 0.9923 - val_loss: 0.7596 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00546: val_loss did not improve from 0.40337\n",
            "Epoch 547/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0270 - accuracy: 0.9889 - val_loss: 0.7939 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00547: val_loss did not improve from 0.40337\n",
            "Epoch 548/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0248 - accuracy: 0.9916 - val_loss: 0.8275 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00548: val_loss did not improve from 0.40337\n",
            "Epoch 549/1000\n",
            "1/1 [==============================] - 0s 327ms/step - loss: 0.0290 - accuracy: 0.9904 - val_loss: 0.8512 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00549: val_loss did not improve from 0.40337\n",
            "Epoch 550/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0269 - accuracy: 0.9908 - val_loss: 0.8708 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00550: val_loss did not improve from 0.40337\n",
            "Epoch 551/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0229 - accuracy: 0.9908 - val_loss: 0.8573 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00551: val_loss did not improve from 0.40337\n",
            "Epoch 552/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0265 - accuracy: 0.9919 - val_loss: 0.8305 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00552: val_loss did not improve from 0.40337\n",
            "Epoch 553/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0328 - accuracy: 0.9892 - val_loss: 0.7923 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00553: val_loss did not improve from 0.40337\n",
            "Epoch 554/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0278 - accuracy: 0.9896 - val_loss: 0.7724 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00554: val_loss did not improve from 0.40337\n",
            "Epoch 555/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0194 - accuracy: 0.9946 - val_loss: 0.7807 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00555: val_loss did not improve from 0.40337\n",
            "Epoch 556/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0210 - accuracy: 0.9912 - val_loss: 0.7794 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00556: val_loss did not improve from 0.40337\n",
            "Epoch 557/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0217 - accuracy: 0.9916 - val_loss: 0.7811 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00557: val_loss did not improve from 0.40337\n",
            "Epoch 558/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0205 - accuracy: 0.9935 - val_loss: 0.7760 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00558: val_loss did not improve from 0.40337\n",
            "Epoch 559/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0280 - accuracy: 0.9908 - val_loss: 0.7706 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00559: val_loss did not improve from 0.40337\n",
            "Epoch 560/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0298 - accuracy: 0.9912 - val_loss: 0.7779 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00560: val_loss did not improve from 0.40337\n",
            "Epoch 561/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0171 - accuracy: 0.9935 - val_loss: 0.7798 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00561: val_loss did not improve from 0.40337\n",
            "Epoch 562/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0190 - accuracy: 0.9919 - val_loss: 0.7849 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00562: val_loss did not improve from 0.40337\n",
            "Epoch 563/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0209 - accuracy: 0.9927 - val_loss: 0.7929 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00563: val_loss did not improve from 0.40337\n",
            "Epoch 564/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0258 - accuracy: 0.9916 - val_loss: 0.7946 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00564: val_loss did not improve from 0.40337\n",
            "Epoch 565/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0245 - accuracy: 0.9916 - val_loss: 0.7793 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00565: val_loss did not improve from 0.40337\n",
            "Epoch 566/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0282 - accuracy: 0.9896 - val_loss: 0.7553 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00566: val_loss did not improve from 0.40337\n",
            "Epoch 567/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0212 - accuracy: 0.9939 - val_loss: 0.7823 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00567: val_loss did not improve from 0.40337\n",
            "Epoch 568/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0225 - accuracy: 0.9935 - val_loss: 0.8284 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00568: val_loss did not improve from 0.40337\n",
            "Epoch 569/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0265 - accuracy: 0.9912 - val_loss: 0.8286 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00569: val_loss did not improve from 0.40337\n",
            "Epoch 570/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0273 - accuracy: 0.9904 - val_loss: 0.8311 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00570: val_loss did not improve from 0.40337\n",
            "Epoch 571/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0291 - accuracy: 0.9919 - val_loss: 0.8163 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00571: val_loss did not improve from 0.40337\n",
            "Epoch 572/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0271 - accuracy: 0.9908 - val_loss: 0.7937 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00572: val_loss did not improve from 0.40337\n",
            "Epoch 573/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0185 - accuracy: 0.9923 - val_loss: 0.7796 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00573: val_loss did not improve from 0.40337\n",
            "Epoch 574/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0168 - accuracy: 0.9950 - val_loss: 0.7714 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00574: val_loss did not improve from 0.40337\n",
            "Epoch 575/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0273 - accuracy: 0.9912 - val_loss: 0.7614 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00575: val_loss did not improve from 0.40337\n",
            "Epoch 576/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0249 - accuracy: 0.9908 - val_loss: 0.7627 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00576: val_loss did not improve from 0.40337\n",
            "Epoch 577/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0262 - accuracy: 0.9912 - val_loss: 0.7764 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00577: val_loss did not improve from 0.40337\n",
            "Epoch 578/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0191 - accuracy: 0.9919 - val_loss: 0.8316 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00578: val_loss did not improve from 0.40337\n",
            "Epoch 579/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0227 - accuracy: 0.9904 - val_loss: 0.8505 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00579: val_loss did not improve from 0.40337\n",
            "Epoch 580/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0185 - accuracy: 0.9939 - val_loss: 0.8058 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00580: val_loss did not improve from 0.40337\n",
            "Epoch 581/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0155 - accuracy: 0.9946 - val_loss: 0.7615 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00581: val_loss did not improve from 0.40337\n",
            "Epoch 582/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0306 - accuracy: 0.9900 - val_loss: 0.7479 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00582: val_loss did not improve from 0.40337\n",
            "Epoch 583/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0154 - accuracy: 0.9946 - val_loss: 0.7475 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00583: val_loss did not improve from 0.40337\n",
            "Epoch 584/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0184 - accuracy: 0.9939 - val_loss: 0.7707 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00584: val_loss did not improve from 0.40337\n",
            "Epoch 585/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0258 - accuracy: 0.9912 - val_loss: 0.8193 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00585: val_loss did not improve from 0.40337\n",
            "Epoch 586/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0176 - accuracy: 0.9923 - val_loss: 0.8592 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00586: val_loss did not improve from 0.40337\n",
            "Epoch 587/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0233 - accuracy: 0.9904 - val_loss: 0.7948 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00587: val_loss did not improve from 0.40337\n",
            "Epoch 588/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0246 - accuracy: 0.9927 - val_loss: 0.7407 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00588: val_loss did not improve from 0.40337\n",
            "Epoch 589/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0183 - accuracy: 0.9927 - val_loss: 0.7287 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00589: val_loss did not improve from 0.40337\n",
            "Epoch 590/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0248 - accuracy: 0.9904 - val_loss: 0.7580 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00590: val_loss did not improve from 0.40337\n",
            "Epoch 591/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0273 - accuracy: 0.9919 - val_loss: 0.8198 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00591: val_loss did not improve from 0.40337\n",
            "Epoch 592/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0161 - accuracy: 0.9946 - val_loss: 0.9083 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00592: val_loss did not improve from 0.40337\n",
            "Epoch 593/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0186 - accuracy: 0.9923 - val_loss: 0.9434 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00593: val_loss did not improve from 0.40337\n",
            "Epoch 594/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0256 - accuracy: 0.9896 - val_loss: 0.8971 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00594: val_loss did not improve from 0.40337\n",
            "Epoch 595/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0164 - accuracy: 0.9958 - val_loss: 0.8380 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00595: val_loss did not improve from 0.40337\n",
            "Epoch 596/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0210 - accuracy: 0.9916 - val_loss: 0.7888 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00596: val_loss did not improve from 0.40337\n",
            "Epoch 597/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0211 - accuracy: 0.9946 - val_loss: 0.7737 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00597: val_loss did not improve from 0.40337\n",
            "Epoch 598/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0221 - accuracy: 0.9900 - val_loss: 0.7882 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00598: val_loss did not improve from 0.40337\n",
            "Epoch 599/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0154 - accuracy: 0.9958 - val_loss: 0.8245 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00599: val_loss did not improve from 0.40337\n",
            "Epoch 600/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0118 - accuracy: 0.9969 - val_loss: 0.8574 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00600: val_loss did not improve from 0.40337\n",
            "Epoch 601/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0137 - accuracy: 0.9950 - val_loss: 0.8890 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00601: val_loss did not improve from 0.40337\n",
            "Epoch 602/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0161 - accuracy: 0.9954 - val_loss: 0.9138 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00602: val_loss did not improve from 0.40337\n",
            "Epoch 603/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0134 - accuracy: 0.9950 - val_loss: 0.9097 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00603: val_loss did not improve from 0.40337\n",
            "Epoch 604/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0240 - accuracy: 0.9916 - val_loss: 0.8712 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00604: val_loss did not improve from 0.40337\n",
            "Epoch 605/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0175 - accuracy: 0.9942 - val_loss: 0.8552 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00605: val_loss did not improve from 0.40337\n",
            "Epoch 606/1000\n",
            "1/1 [==============================] - 0s 312ms/step - loss: 0.0101 - accuracy: 0.9965 - val_loss: 0.8456 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00606: val_loss did not improve from 0.40337\n",
            "Epoch 607/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0195 - accuracy: 0.9935 - val_loss: 0.8760 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00607: val_loss did not improve from 0.40337\n",
            "Epoch 608/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0168 - accuracy: 0.9927 - val_loss: 0.9296 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00608: val_loss did not improve from 0.40337\n",
            "Epoch 609/1000\n",
            "1/1 [==============================] - 0s 315ms/step - loss: 0.0214 - accuracy: 0.9931 - val_loss: 0.9322 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00609: val_loss did not improve from 0.40337\n",
            "Epoch 610/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0220 - accuracy: 0.9900 - val_loss: 0.9178 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00610: val_loss did not improve from 0.40337\n",
            "Epoch 611/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0200 - accuracy: 0.9927 - val_loss: 0.8885 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00611: val_loss did not improve from 0.40337\n",
            "Epoch 612/1000\n",
            "1/1 [==============================] - 0s 311ms/step - loss: 0.0129 - accuracy: 0.9962 - val_loss: 0.8752 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00612: val_loss did not improve from 0.40337\n",
            "Epoch 613/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0123 - accuracy: 0.9958 - val_loss: 0.8623 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00613: val_loss did not improve from 0.40337\n",
            "Epoch 614/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0191 - accuracy: 0.9942 - val_loss: 0.8708 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00614: val_loss did not improve from 0.40337\n",
            "Epoch 615/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0136 - accuracy: 0.9958 - val_loss: 0.9019 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00615: val_loss did not improve from 0.40337\n",
            "Epoch 616/1000\n",
            "1/1 [==============================] - 0s 268ms/step - loss: 0.0211 - accuracy: 0.9935 - val_loss: 0.9414 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00616: val_loss did not improve from 0.40337\n",
            "Epoch 617/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0194 - accuracy: 0.9935 - val_loss: 0.9372 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00617: val_loss did not improve from 0.40337\n",
            "Epoch 618/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0176 - accuracy: 0.9935 - val_loss: 0.9073 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00618: val_loss did not improve from 0.40337\n",
            "Epoch 619/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0209 - accuracy: 0.9942 - val_loss: 0.8971 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00619: val_loss did not improve from 0.40337\n",
            "Epoch 620/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0137 - accuracy: 0.9942 - val_loss: 0.9053 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00620: val_loss did not improve from 0.40337\n",
            "Epoch 621/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0169 - accuracy: 0.9946 - val_loss: 0.9161 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00621: val_loss did not improve from 0.40337\n",
            "Epoch 622/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0187 - accuracy: 0.9942 - val_loss: 0.9271 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00622: val_loss did not improve from 0.40337\n",
            "Epoch 623/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0212 - accuracy: 0.9942 - val_loss: 0.9095 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00623: val_loss did not improve from 0.40337\n",
            "Epoch 624/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0128 - accuracy: 0.9958 - val_loss: 0.9054 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00624: val_loss did not improve from 0.40337\n",
            "Epoch 625/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0156 - accuracy: 0.9950 - val_loss: 0.8984 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00625: val_loss did not improve from 0.40337\n",
            "Epoch 626/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0211 - accuracy: 0.9939 - val_loss: 0.8965 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00626: val_loss did not improve from 0.40337\n",
            "Epoch 627/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0200 - accuracy: 0.9927 - val_loss: 0.8802 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00627: val_loss did not improve from 0.40337\n",
            "Epoch 628/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0222 - accuracy: 0.9935 - val_loss: 0.8707 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00628: val_loss did not improve from 0.40337\n",
            "Epoch 629/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0175 - accuracy: 0.9950 - val_loss: 0.8921 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00629: val_loss did not improve from 0.40337\n",
            "Epoch 630/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0172 - accuracy: 0.9946 - val_loss: 0.9150 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00630: val_loss did not improve from 0.40337\n",
            "Epoch 631/1000\n",
            "1/1 [==============================] - 0s 320ms/step - loss: 0.0167 - accuracy: 0.9946 - val_loss: 0.9219 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00631: val_loss did not improve from 0.40337\n",
            "Epoch 632/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0144 - accuracy: 0.9958 - val_loss: 0.9428 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00632: val_loss did not improve from 0.40337\n",
            "Epoch 633/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0206 - accuracy: 0.9916 - val_loss: 0.9048 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00633: val_loss did not improve from 0.40337\n",
            "Epoch 634/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0154 - accuracy: 0.9958 - val_loss: 0.8618 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00634: val_loss did not improve from 0.40337\n",
            "Epoch 635/1000\n",
            "1/1 [==============================] - 0s 312ms/step - loss: 0.0188 - accuracy: 0.9942 - val_loss: 0.8424 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00635: val_loss did not improve from 0.40337\n",
            "Epoch 636/1000\n",
            "1/1 [==============================] - 0s 312ms/step - loss: 0.0217 - accuracy: 0.9931 - val_loss: 0.8538 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00636: val_loss did not improve from 0.40337\n",
            "Epoch 637/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0149 - accuracy: 0.9954 - val_loss: 0.8683 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00637: val_loss did not improve from 0.40337\n",
            "Epoch 638/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0179 - accuracy: 0.9927 - val_loss: 0.8916 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00638: val_loss did not improve from 0.40337\n",
            "Epoch 639/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0155 - accuracy: 0.9942 - val_loss: 0.9464 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00639: val_loss did not improve from 0.40337\n",
            "Epoch 640/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0174 - accuracy: 0.9931 - val_loss: 0.9974 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00640: val_loss did not improve from 0.40337\n",
            "Epoch 641/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0182 - accuracy: 0.9942 - val_loss: 0.9176 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00641: val_loss did not improve from 0.40337\n",
            "Epoch 642/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0132 - accuracy: 0.9962 - val_loss: 0.8545 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00642: val_loss did not improve from 0.40337\n",
            "Epoch 643/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0206 - accuracy: 0.9931 - val_loss: 0.8195 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00643: val_loss did not improve from 0.40337\n",
            "Epoch 644/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0131 - accuracy: 0.9946 - val_loss: 0.8096 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00644: val_loss did not improve from 0.40337\n",
            "Epoch 645/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0227 - accuracy: 0.9912 - val_loss: 0.8172 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00645: val_loss did not improve from 0.40337\n",
            "Epoch 646/1000\n",
            "1/1 [==============================] - 0s 314ms/step - loss: 0.0122 - accuracy: 0.9958 - val_loss: 0.8523 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00646: val_loss did not improve from 0.40337\n",
            "Epoch 647/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0165 - accuracy: 0.9939 - val_loss: 0.8855 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00647: val_loss did not improve from 0.40337\n",
            "Epoch 648/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0179 - accuracy: 0.9946 - val_loss: 0.9040 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00648: val_loss did not improve from 0.40337\n",
            "Epoch 649/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0176 - accuracy: 0.9931 - val_loss: 0.8885 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00649: val_loss did not improve from 0.40337\n",
            "Epoch 650/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0182 - accuracy: 0.9935 - val_loss: 0.8444 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00650: val_loss did not improve from 0.40337\n",
            "Epoch 651/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0216 - accuracy: 0.9923 - val_loss: 0.8425 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00651: val_loss did not improve from 0.40337\n",
            "Epoch 652/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0165 - accuracy: 0.9942 - val_loss: 0.8465 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00652: val_loss did not improve from 0.40337\n",
            "Epoch 653/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0144 - accuracy: 0.9950 - val_loss: 0.8578 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00653: val_loss did not improve from 0.40337\n",
            "Epoch 654/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0183 - accuracy: 0.9923 - val_loss: 0.8679 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00654: val_loss did not improve from 0.40337\n",
            "Epoch 655/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0182 - accuracy: 0.9919 - val_loss: 0.8680 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00655: val_loss did not improve from 0.40337\n",
            "Epoch 656/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0130 - accuracy: 0.9954 - val_loss: 0.8730 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00656: val_loss did not improve from 0.40337\n",
            "Epoch 657/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0211 - accuracy: 0.9931 - val_loss: 0.8725 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00657: val_loss did not improve from 0.40337\n",
            "Epoch 658/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0217 - accuracy: 0.9908 - val_loss: 0.8874 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00658: val_loss did not improve from 0.40337\n",
            "Epoch 659/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0228 - accuracy: 0.9912 - val_loss: 0.9246 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00659: val_loss did not improve from 0.40337\n",
            "Epoch 660/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0170 - accuracy: 0.9931 - val_loss: 0.9634 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00660: val_loss did not improve from 0.40337\n",
            "Epoch 661/1000\n",
            "1/1 [==============================] - 0s 267ms/step - loss: 0.0136 - accuracy: 0.9954 - val_loss: 0.9696 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00661: val_loss did not improve from 0.40337\n",
            "Epoch 662/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0260 - accuracy: 0.9919 - val_loss: 0.9662 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00662: val_loss did not improve from 0.40337\n",
            "Epoch 663/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0226 - accuracy: 0.9931 - val_loss: 0.9350 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00663: val_loss did not improve from 0.40337\n",
            "Epoch 664/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0142 - accuracy: 0.9942 - val_loss: 0.9320 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00664: val_loss did not improve from 0.40337\n",
            "Epoch 665/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0157 - accuracy: 0.9942 - val_loss: 0.9048 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00665: val_loss did not improve from 0.40337\n",
            "Epoch 666/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0090 - accuracy: 0.9973 - val_loss: 0.8765 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00666: val_loss did not improve from 0.40337\n",
            "Epoch 667/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0181 - accuracy: 0.9939 - val_loss: 0.8817 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00667: val_loss did not improve from 0.40337\n",
            "Epoch 668/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0164 - accuracy: 0.9942 - val_loss: 0.8977 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00668: val_loss did not improve from 0.40337\n",
            "Epoch 669/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0157 - accuracy: 0.9954 - val_loss: 0.9177 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00669: val_loss did not improve from 0.40337\n",
            "Epoch 670/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0168 - accuracy: 0.9962 - val_loss: 0.9231 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00670: val_loss did not improve from 0.40337\n",
            "Epoch 671/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0156 - accuracy: 0.9927 - val_loss: 0.8938 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00671: val_loss did not improve from 0.40337\n",
            "Epoch 672/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0181 - accuracy: 0.9946 - val_loss: 0.8570 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00672: val_loss did not improve from 0.40337\n",
            "Epoch 673/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0183 - accuracy: 0.9927 - val_loss: 0.8208 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00673: val_loss did not improve from 0.40337\n",
            "Epoch 674/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0214 - accuracy: 0.9939 - val_loss: 0.8095 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00674: val_loss did not improve from 0.40337\n",
            "Epoch 675/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0136 - accuracy: 0.9958 - val_loss: 0.8236 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00675: val_loss did not improve from 0.40337\n",
            "Epoch 676/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0272 - accuracy: 0.9904 - val_loss: 0.8800 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00676: val_loss did not improve from 0.40337\n",
            "Epoch 677/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0153 - accuracy: 0.9962 - val_loss: 0.9264 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00677: val_loss did not improve from 0.40337\n",
            "Epoch 678/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0196 - accuracy: 0.9939 - val_loss: 0.9286 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00678: val_loss did not improve from 0.40337\n",
            "Epoch 679/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0163 - accuracy: 0.9942 - val_loss: 0.9047 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00679: val_loss did not improve from 0.40337\n",
            "Epoch 680/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0127 - accuracy: 0.9958 - val_loss: 0.8991 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00680: val_loss did not improve from 0.40337\n",
            "Epoch 681/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0201 - accuracy: 0.9919 - val_loss: 0.8724 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00681: val_loss did not improve from 0.40337\n",
            "Epoch 682/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0210 - accuracy: 0.9927 - val_loss: 0.8500 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00682: val_loss did not improve from 0.40337\n",
            "Epoch 683/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0131 - accuracy: 0.9946 - val_loss: 0.8181 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00683: val_loss did not improve from 0.40337\n",
            "Epoch 684/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0135 - accuracy: 0.9973 - val_loss: 0.7858 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00684: val_loss did not improve from 0.40337\n",
            "Epoch 685/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0186 - accuracy: 0.9919 - val_loss: 0.7845 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00685: val_loss did not improve from 0.40337\n",
            "Epoch 686/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0213 - accuracy: 0.9942 - val_loss: 0.8120 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00686: val_loss did not improve from 0.40337\n",
            "Epoch 687/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0145 - accuracy: 0.9939 - val_loss: 0.8540 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00687: val_loss did not improve from 0.40337\n",
            "Epoch 688/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0183 - accuracy: 0.9923 - val_loss: 0.8912 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00688: val_loss did not improve from 0.40337\n",
            "Epoch 689/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0210 - accuracy: 0.9919 - val_loss: 0.9332 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00689: val_loss did not improve from 0.40337\n",
            "Epoch 690/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0131 - accuracy: 0.9965 - val_loss: 0.9384 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00690: val_loss did not improve from 0.40337\n",
            "Epoch 691/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0176 - accuracy: 0.9958 - val_loss: 0.8922 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00691: val_loss did not improve from 0.40337\n",
            "Epoch 692/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0128 - accuracy: 0.9954 - val_loss: 0.8667 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00692: val_loss did not improve from 0.40337\n",
            "Epoch 693/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0165 - accuracy: 0.9935 - val_loss: 0.8714 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00693: val_loss did not improve from 0.40337\n",
            "Epoch 694/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0132 - accuracy: 0.9958 - val_loss: 0.9027 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00694: val_loss did not improve from 0.40337\n",
            "Epoch 695/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0167 - accuracy: 0.9935 - val_loss: 0.9437 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00695: val_loss did not improve from 0.40337\n",
            "Epoch 696/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0112 - accuracy: 0.9965 - val_loss: 0.9711 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00696: val_loss did not improve from 0.40337\n",
            "Epoch 697/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0172 - accuracy: 0.9942 - val_loss: 0.9624 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00697: val_loss did not improve from 0.40337\n",
            "Epoch 698/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0129 - accuracy: 0.9950 - val_loss: 0.9596 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00698: val_loss did not improve from 0.40337\n",
            "Epoch 699/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0101 - accuracy: 0.9958 - val_loss: 0.9341 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00699: val_loss did not improve from 0.40337\n",
            "Epoch 700/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0099 - accuracy: 0.9973 - val_loss: 0.9019 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00700: val_loss did not improve from 0.40337\n",
            "Epoch 701/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0141 - accuracy: 0.9958 - val_loss: 0.8620 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00701: val_loss did not improve from 0.40337\n",
            "Epoch 702/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0174 - accuracy: 0.9939 - val_loss: 0.8466 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00702: val_loss did not improve from 0.40337\n",
            "Epoch 703/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0133 - accuracy: 0.9954 - val_loss: 0.8579 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00703: val_loss did not improve from 0.40337\n",
            "Epoch 704/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0215 - accuracy: 0.9939 - val_loss: 0.8700 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00704: val_loss did not improve from 0.40337\n",
            "Epoch 705/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0234 - accuracy: 0.9935 - val_loss: 0.8543 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00705: val_loss did not improve from 0.40337\n",
            "Epoch 706/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0179 - accuracy: 0.9939 - val_loss: 0.8535 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00706: val_loss did not improve from 0.40337\n",
            "Epoch 707/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0186 - accuracy: 0.9942 - val_loss: 0.8995 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00707: val_loss did not improve from 0.40337\n",
            "Epoch 708/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0127 - accuracy: 0.9954 - val_loss: 0.9458 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00708: val_loss did not improve from 0.40337\n",
            "Epoch 709/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0154 - accuracy: 0.9942 - val_loss: 0.9538 - val_accuracy: 0.8223\n",
            "\n",
            "Epoch 00709: val_loss did not improve from 0.40337\n",
            "Epoch 710/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0252 - accuracy: 0.9916 - val_loss: 0.9433 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00710: val_loss did not improve from 0.40337\n",
            "Epoch 711/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0119 - accuracy: 0.9946 - val_loss: 0.9378 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00711: val_loss did not improve from 0.40337\n",
            "Epoch 712/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0153 - accuracy: 0.9946 - val_loss: 0.9356 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00712: val_loss did not improve from 0.40337\n",
            "Epoch 713/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0164 - accuracy: 0.9931 - val_loss: 0.9281 - val_accuracy: 0.8262\n",
            "\n",
            "Epoch 00713: val_loss did not improve from 0.40337\n",
            "Epoch 714/1000\n",
            "1/1 [==============================] - 0s 316ms/step - loss: 0.0176 - accuracy: 0.9931 - val_loss: 0.9173 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00714: val_loss did not improve from 0.40337\n",
            "Epoch 715/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0148 - accuracy: 0.9942 - val_loss: 0.9393 - val_accuracy: 0.8242\n",
            "\n",
            "Epoch 00715: val_loss did not improve from 0.40337\n",
            "Epoch 716/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0182 - accuracy: 0.9939 - val_loss: 0.9694 - val_accuracy: 0.8242\n",
            "\n",
            "Epoch 00716: val_loss did not improve from 0.40337\n",
            "Epoch 717/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0142 - accuracy: 0.9954 - val_loss: 0.9952 - val_accuracy: 0.8301\n",
            "\n",
            "Epoch 00717: val_loss did not improve from 0.40337\n",
            "Epoch 718/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0136 - accuracy: 0.9954 - val_loss: 1.0155 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00718: val_loss did not improve from 0.40337\n",
            "Epoch 719/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0166 - accuracy: 0.9950 - val_loss: 1.0148 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00719: val_loss did not improve from 0.40337\n",
            "Epoch 720/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0181 - accuracy: 0.9946 - val_loss: 0.9682 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00720: val_loss did not improve from 0.40337\n",
            "Epoch 721/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0115 - accuracy: 0.9950 - val_loss: 0.9097 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00721: val_loss did not improve from 0.40337\n",
            "Epoch 722/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0142 - accuracy: 0.9954 - val_loss: 0.8841 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00722: val_loss did not improve from 0.40337\n",
            "Epoch 723/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0154 - accuracy: 0.9950 - val_loss: 0.8928 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00723: val_loss did not improve from 0.40337\n",
            "Epoch 724/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0151 - accuracy: 0.9946 - val_loss: 0.9058 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00724: val_loss did not improve from 0.40337\n",
            "Epoch 725/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0207 - accuracy: 0.9927 - val_loss: 0.9224 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00725: val_loss did not improve from 0.40337\n",
            "Epoch 726/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0213 - accuracy: 0.9908 - val_loss: 0.9104 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00726: val_loss did not improve from 0.40337\n",
            "Epoch 727/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0153 - accuracy: 0.9942 - val_loss: 0.9034 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00727: val_loss did not improve from 0.40337\n",
            "Epoch 728/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0122 - accuracy: 0.9962 - val_loss: 0.8770 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00728: val_loss did not improve from 0.40337\n",
            "Epoch 729/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0098 - accuracy: 0.9958 - val_loss: 0.8533 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00729: val_loss did not improve from 0.40337\n",
            "Epoch 730/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0119 - accuracy: 0.9958 - val_loss: 0.8516 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00730: val_loss did not improve from 0.40337\n",
            "Epoch 731/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0106 - accuracy: 0.9973 - val_loss: 0.8682 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00731: val_loss did not improve from 0.40337\n",
            "Epoch 732/1000\n",
            "1/1 [==============================] - 0s 275ms/step - loss: 0.0157 - accuracy: 0.9954 - val_loss: 0.8910 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00732: val_loss did not improve from 0.40337\n",
            "Epoch 733/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0187 - accuracy: 0.9946 - val_loss: 0.9113 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00733: val_loss did not improve from 0.40337\n",
            "Epoch 734/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0136 - accuracy: 0.9946 - val_loss: 0.9210 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00734: val_loss did not improve from 0.40337\n",
            "Epoch 735/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0149 - accuracy: 0.9939 - val_loss: 0.9182 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00735: val_loss did not improve from 0.40337\n",
            "Epoch 736/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0116 - accuracy: 0.9973 - val_loss: 0.9270 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00736: val_loss did not improve from 0.40337\n",
            "Epoch 737/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0117 - accuracy: 0.9954 - val_loss: 0.9549 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00737: val_loss did not improve from 0.40337\n",
            "Epoch 738/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0135 - accuracy: 0.9950 - val_loss: 0.9568 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00738: val_loss did not improve from 0.40337\n",
            "Epoch 739/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0161 - accuracy: 0.9962 - val_loss: 0.9497 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00739: val_loss did not improve from 0.40337\n",
            "Epoch 740/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0163 - accuracy: 0.9958 - val_loss: 0.9461 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00740: val_loss did not improve from 0.40337\n",
            "Epoch 741/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0128 - accuracy: 0.9965 - val_loss: 0.9613 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00741: val_loss did not improve from 0.40337\n",
            "Epoch 742/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0127 - accuracy: 0.9946 - val_loss: 0.9712 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00742: val_loss did not improve from 0.40337\n",
            "Epoch 743/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0158 - accuracy: 0.9950 - val_loss: 0.9665 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00743: val_loss did not improve from 0.40337\n",
            "Epoch 744/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0236 - accuracy: 0.9908 - val_loss: 0.9605 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00744: val_loss did not improve from 0.40337\n",
            "Epoch 745/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0114 - accuracy: 0.9962 - val_loss: 0.9326 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00745: val_loss did not improve from 0.40337\n",
            "Epoch 746/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0212 - accuracy: 0.9916 - val_loss: 0.8991 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00746: val_loss did not improve from 0.40337\n",
            "Epoch 747/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0158 - accuracy: 0.9935 - val_loss: 0.9151 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00747: val_loss did not improve from 0.40337\n",
            "Epoch 748/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0130 - accuracy: 0.9962 - val_loss: 0.9688 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00748: val_loss did not improve from 0.40337\n",
            "Epoch 749/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0077 - accuracy: 0.9965 - val_loss: 0.9992 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00749: val_loss did not improve from 0.40337\n",
            "Epoch 750/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0233 - accuracy: 0.9950 - val_loss: 0.9573 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00750: val_loss did not improve from 0.40337\n",
            "Epoch 751/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0126 - accuracy: 0.9965 - val_loss: 0.9276 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00751: val_loss did not improve from 0.40337\n",
            "Epoch 752/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0158 - accuracy: 0.9958 - val_loss: 0.9003 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00752: val_loss did not improve from 0.40337\n",
            "Epoch 753/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0134 - accuracy: 0.9958 - val_loss: 0.8796 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00753: val_loss did not improve from 0.40337\n",
            "Epoch 754/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0139 - accuracy: 0.9962 - val_loss: 0.8560 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00754: val_loss did not improve from 0.40337\n",
            "Epoch 755/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0094 - accuracy: 0.9965 - val_loss: 0.8560 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00755: val_loss did not improve from 0.40337\n",
            "Epoch 756/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0097 - accuracy: 0.9958 - val_loss: 0.8955 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00756: val_loss did not improve from 0.40337\n",
            "Epoch 757/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0090 - accuracy: 0.9969 - val_loss: 0.9524 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00757: val_loss did not improve from 0.40337\n",
            "Epoch 758/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0155 - accuracy: 0.9942 - val_loss: 1.0337 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00758: val_loss did not improve from 0.40337\n",
            "Epoch 759/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0171 - accuracy: 0.9931 - val_loss: 1.0309 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00759: val_loss did not improve from 0.40337\n",
            "Epoch 760/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0186 - accuracy: 0.9942 - val_loss: 0.9844 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00760: val_loss did not improve from 0.40337\n",
            "Epoch 761/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0150 - accuracy: 0.9954 - val_loss: 0.9340 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00761: val_loss did not improve from 0.40337\n",
            "Epoch 762/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0080 - accuracy: 0.9973 - val_loss: 0.8920 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00762: val_loss did not improve from 0.40337\n",
            "Epoch 763/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0107 - accuracy: 0.9954 - val_loss: 0.8658 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00763: val_loss did not improve from 0.40337\n",
            "Epoch 764/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0211 - accuracy: 0.9939 - val_loss: 0.8598 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00764: val_loss did not improve from 0.40337\n",
            "Epoch 765/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0116 - accuracy: 0.9965 - val_loss: 0.8673 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00765: val_loss did not improve from 0.40337\n",
            "Epoch 766/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0176 - accuracy: 0.9950 - val_loss: 0.9009 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00766: val_loss did not improve from 0.40337\n",
            "Epoch 767/1000\n",
            "1/1 [==============================] - 0s 342ms/step - loss: 0.0136 - accuracy: 0.9950 - val_loss: 0.9505 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00767: val_loss did not improve from 0.40337\n",
            "Epoch 768/1000\n",
            "1/1 [==============================] - 0s 336ms/step - loss: 0.0141 - accuracy: 0.9958 - val_loss: 0.9994 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00768: val_loss did not improve from 0.40337\n",
            "Epoch 769/1000\n",
            "1/1 [==============================] - 0s 324ms/step - loss: 0.0111 - accuracy: 0.9950 - val_loss: 1.0277 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00769: val_loss did not improve from 0.40337\n",
            "Epoch 770/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0102 - accuracy: 0.9965 - val_loss: 0.9890 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00770: val_loss did not improve from 0.40337\n",
            "Epoch 771/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0173 - accuracy: 0.9931 - val_loss: 0.9149 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00771: val_loss did not improve from 0.40337\n",
            "Epoch 772/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0116 - accuracy: 0.9965 - val_loss: 0.8704 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00772: val_loss did not improve from 0.40337\n",
            "Epoch 773/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0144 - accuracy: 0.9950 - val_loss: 0.8387 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00773: val_loss did not improve from 0.40337\n",
            "Epoch 774/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0214 - accuracy: 0.9927 - val_loss: 0.8224 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00774: val_loss did not improve from 0.40337\n",
            "Epoch 775/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0114 - accuracy: 0.9962 - val_loss: 0.8187 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00775: val_loss did not improve from 0.40337\n",
            "Epoch 776/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0139 - accuracy: 0.9954 - val_loss: 0.8527 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00776: val_loss did not improve from 0.40337\n",
            "Epoch 777/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0128 - accuracy: 0.9939 - val_loss: 0.9260 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00777: val_loss did not improve from 0.40337\n",
            "Epoch 778/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0143 - accuracy: 0.9954 - val_loss: 1.0004 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00778: val_loss did not improve from 0.40337\n",
            "Epoch 779/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0130 - accuracy: 0.9958 - val_loss: 1.0233 - val_accuracy: 0.8320\n",
            "\n",
            "Epoch 00779: val_loss did not improve from 0.40337\n",
            "Epoch 780/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0136 - accuracy: 0.9950 - val_loss: 1.0025 - val_accuracy: 0.8340\n",
            "\n",
            "Epoch 00780: val_loss did not improve from 0.40337\n",
            "Epoch 781/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0242 - accuracy: 0.9942 - val_loss: 0.9741 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00781: val_loss did not improve from 0.40337\n",
            "Epoch 782/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0138 - accuracy: 0.9958 - val_loss: 0.9525 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00782: val_loss did not improve from 0.40337\n",
            "Epoch 783/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0170 - accuracy: 0.9939 - val_loss: 0.9434 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00783: val_loss did not improve from 0.40337\n",
            "Epoch 784/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0168 - accuracy: 0.9927 - val_loss: 0.9310 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00784: val_loss did not improve from 0.40337\n",
            "Epoch 785/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0112 - accuracy: 0.9958 - val_loss: 0.9418 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00785: val_loss did not improve from 0.40337\n",
            "Epoch 786/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0155 - accuracy: 0.9946 - val_loss: 0.9824 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00786: val_loss did not improve from 0.40337\n",
            "Epoch 787/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0112 - accuracy: 0.9965 - val_loss: 1.0282 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00787: val_loss did not improve from 0.40337\n",
            "Epoch 788/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0066 - accuracy: 0.9985 - val_loss: 1.0476 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00788: val_loss did not improve from 0.40337\n",
            "Epoch 789/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0112 - accuracy: 0.9962 - val_loss: 1.0554 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00789: val_loss did not improve from 0.40337\n",
            "Epoch 790/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0181 - accuracy: 0.9958 - val_loss: 1.0312 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00790: val_loss did not improve from 0.40337\n",
            "Epoch 791/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0134 - accuracy: 0.9946 - val_loss: 0.9897 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00791: val_loss did not improve from 0.40337\n",
            "Epoch 792/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0127 - accuracy: 0.9965 - val_loss: 0.9506 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00792: val_loss did not improve from 0.40337\n",
            "Epoch 793/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0212 - accuracy: 0.9923 - val_loss: 0.8876 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00793: val_loss did not improve from 0.40337\n",
            "Epoch 794/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0142 - accuracy: 0.9942 - val_loss: 0.8562 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00794: val_loss did not improve from 0.40337\n",
            "Epoch 795/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0200 - accuracy: 0.9939 - val_loss: 0.8424 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00795: val_loss did not improve from 0.40337\n",
            "Epoch 796/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0122 - accuracy: 0.9962 - val_loss: 0.8502 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00796: val_loss did not improve from 0.40337\n",
            "Epoch 797/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0153 - accuracy: 0.9939 - val_loss: 0.8873 - val_accuracy: 0.8633\n",
            "\n",
            "Epoch 00797: val_loss did not improve from 0.40337\n",
            "Epoch 798/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0111 - accuracy: 0.9950 - val_loss: 0.9406 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00798: val_loss did not improve from 0.40337\n",
            "Epoch 799/1000\n",
            "1/1 [==============================] - 0s 331ms/step - loss: 0.0171 - accuracy: 0.9939 - val_loss: 0.9609 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00799: val_loss did not improve from 0.40337\n",
            "Epoch 800/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0213 - accuracy: 0.9931 - val_loss: 0.9519 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00800: val_loss did not improve from 0.40337\n",
            "Epoch 801/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0148 - accuracy: 0.9954 - val_loss: 0.9350 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00801: val_loss did not improve from 0.40337\n",
            "Epoch 802/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0114 - accuracy: 0.9954 - val_loss: 0.9226 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00802: val_loss did not improve from 0.40337\n",
            "Epoch 803/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0086 - accuracy: 0.9965 - val_loss: 0.9175 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00803: val_loss did not improve from 0.40337\n",
            "Epoch 804/1000\n",
            "1/1 [==============================] - 0s 274ms/step - loss: 0.0146 - accuracy: 0.9962 - val_loss: 0.8983 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00804: val_loss did not improve from 0.40337\n",
            "Epoch 805/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0103 - accuracy: 0.9962 - val_loss: 0.8783 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00805: val_loss did not improve from 0.40337\n",
            "Epoch 806/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0150 - accuracy: 0.9935 - val_loss: 0.8565 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00806: val_loss did not improve from 0.40337\n",
            "Epoch 807/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0105 - accuracy: 0.9969 - val_loss: 0.8449 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00807: val_loss did not improve from 0.40337\n",
            "Epoch 808/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0118 - accuracy: 0.9958 - val_loss: 0.8401 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00808: val_loss did not improve from 0.40337\n",
            "Epoch 809/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0088 - accuracy: 0.9977 - val_loss: 0.8428 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00809: val_loss did not improve from 0.40337\n",
            "Epoch 810/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0104 - accuracy: 0.9950 - val_loss: 0.8607 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00810: val_loss did not improve from 0.40337\n",
            "Epoch 811/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0175 - accuracy: 0.9950 - val_loss: 0.8585 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00811: val_loss did not improve from 0.40337\n",
            "Epoch 812/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0099 - accuracy: 0.9958 - val_loss: 0.8710 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00812: val_loss did not improve from 0.40337\n",
            "Epoch 813/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0150 - accuracy: 0.9946 - val_loss: 0.8854 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00813: val_loss did not improve from 0.40337\n",
            "Epoch 814/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0084 - accuracy: 0.9969 - val_loss: 0.8846 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00814: val_loss did not improve from 0.40337\n",
            "Epoch 815/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0114 - accuracy: 0.9965 - val_loss: 0.8956 - val_accuracy: 0.8672\n",
            "\n",
            "Epoch 00815: val_loss did not improve from 0.40337\n",
            "Epoch 816/1000\n",
            "1/1 [==============================] - 0s 326ms/step - loss: 0.0123 - accuracy: 0.9939 - val_loss: 0.8950 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00816: val_loss did not improve from 0.40337\n",
            "Epoch 817/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0088 - accuracy: 0.9969 - val_loss: 0.9082 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00817: val_loss did not improve from 0.40337\n",
            "Epoch 818/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0116 - accuracy: 0.9962 - val_loss: 0.9236 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00818: val_loss did not improve from 0.40337\n",
            "Epoch 819/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0119 - accuracy: 0.9981 - val_loss: 0.9430 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00819: val_loss did not improve from 0.40337\n",
            "Epoch 820/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0122 - accuracy: 0.9950 - val_loss: 0.9804 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00820: val_loss did not improve from 0.40337\n",
            "Epoch 821/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0162 - accuracy: 0.9962 - val_loss: 0.9794 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00821: val_loss did not improve from 0.40337\n",
            "Epoch 822/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0128 - accuracy: 0.9958 - val_loss: 0.9550 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00822: val_loss did not improve from 0.40337\n",
            "Epoch 823/1000\n",
            "1/1 [==============================] - 0s 276ms/step - loss: 0.0109 - accuracy: 0.9969 - val_loss: 0.9389 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00823: val_loss did not improve from 0.40337\n",
            "Epoch 824/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0086 - accuracy: 0.9973 - val_loss: 0.9190 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00824: val_loss did not improve from 0.40337\n",
            "Epoch 825/1000\n",
            "1/1 [==============================] - 0s 269ms/step - loss: 0.0093 - accuracy: 0.9958 - val_loss: 0.9070 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00825: val_loss did not improve from 0.40337\n",
            "Epoch 826/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0141 - accuracy: 0.9958 - val_loss: 0.9138 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00826: val_loss did not improve from 0.40337\n",
            "Epoch 827/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0130 - accuracy: 0.9954 - val_loss: 0.9512 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00827: val_loss did not improve from 0.40337\n",
            "Epoch 828/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0100 - accuracy: 0.9973 - val_loss: 1.0163 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00828: val_loss did not improve from 0.40337\n",
            "Epoch 829/1000\n",
            "1/1 [==============================] - 0s 314ms/step - loss: 0.0123 - accuracy: 0.9946 - val_loss: 1.0690 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00829: val_loss did not improve from 0.40337\n",
            "Epoch 830/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0153 - accuracy: 0.9946 - val_loss: 1.0524 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00830: val_loss did not improve from 0.40337\n",
            "Epoch 831/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0165 - accuracy: 0.9931 - val_loss: 0.9962 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00831: val_loss did not improve from 0.40337\n",
            "Epoch 832/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0140 - accuracy: 0.9954 - val_loss: 0.9578 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00832: val_loss did not improve from 0.40337\n",
            "Epoch 833/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0135 - accuracy: 0.9965 - val_loss: 0.9339 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00833: val_loss did not improve from 0.40337\n",
            "Epoch 834/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0096 - accuracy: 0.9969 - val_loss: 0.9286 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00834: val_loss did not improve from 0.40337\n",
            "Epoch 835/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0149 - accuracy: 0.9946 - val_loss: 0.9428 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00835: val_loss did not improve from 0.40337\n",
            "Epoch 836/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0105 - accuracy: 0.9962 - val_loss: 0.9656 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00836: val_loss did not improve from 0.40337\n",
            "Epoch 837/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0075 - accuracy: 0.9977 - val_loss: 0.9875 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00837: val_loss did not improve from 0.40337\n",
            "Epoch 838/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0153 - accuracy: 0.9954 - val_loss: 0.9701 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00838: val_loss did not improve from 0.40337\n",
            "Epoch 839/1000\n",
            "1/1 [==============================] - 0s 318ms/step - loss: 0.0099 - accuracy: 0.9962 - val_loss: 0.9730 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00839: val_loss did not improve from 0.40337\n",
            "Epoch 840/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0148 - accuracy: 0.9962 - val_loss: 0.9738 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00840: val_loss did not improve from 0.40337\n",
            "Epoch 841/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0119 - accuracy: 0.9962 - val_loss: 0.9776 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00841: val_loss did not improve from 0.40337\n",
            "Epoch 842/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0150 - accuracy: 0.9950 - val_loss: 0.9578 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00842: val_loss did not improve from 0.40337\n",
            "Epoch 843/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0069 - accuracy: 0.9977 - val_loss: 0.9393 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00843: val_loss did not improve from 0.40337\n",
            "Epoch 844/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0127 - accuracy: 0.9962 - val_loss: 0.9273 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00844: val_loss did not improve from 0.40337\n",
            "Epoch 845/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0121 - accuracy: 0.9958 - val_loss: 0.9470 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00845: val_loss did not improve from 0.40337\n",
            "Epoch 846/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0092 - accuracy: 0.9973 - val_loss: 0.9425 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00846: val_loss did not improve from 0.40337\n",
            "Epoch 847/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0111 - accuracy: 0.9962 - val_loss: 0.9420 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00847: val_loss did not improve from 0.40337\n",
            "Epoch 848/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0083 - accuracy: 0.9977 - val_loss: 0.9592 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00848: val_loss did not improve from 0.40337\n",
            "Epoch 849/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0093 - accuracy: 0.9973 - val_loss: 0.9627 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00849: val_loss did not improve from 0.40337\n",
            "Epoch 850/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0160 - accuracy: 0.9954 - val_loss: 0.9109 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00850: val_loss did not improve from 0.40337\n",
            "Epoch 851/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0062 - accuracy: 0.9985 - val_loss: 0.8782 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00851: val_loss did not improve from 0.40337\n",
            "Epoch 852/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0132 - accuracy: 0.9962 - val_loss: 0.8642 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00852: val_loss did not improve from 0.40337\n",
            "Epoch 853/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0156 - accuracy: 0.9954 - val_loss: 0.8974 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00853: val_loss did not improve from 0.40337\n",
            "Epoch 854/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0061 - accuracy: 0.9977 - val_loss: 0.9257 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00854: val_loss did not improve from 0.40337\n",
            "Epoch 855/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0117 - accuracy: 0.9954 - val_loss: 0.9657 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00855: val_loss did not improve from 0.40337\n",
            "Epoch 856/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0167 - accuracy: 0.9962 - val_loss: 1.0005 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00856: val_loss did not improve from 0.40337\n",
            "Epoch 857/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0105 - accuracy: 0.9958 - val_loss: 1.0222 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00857: val_loss did not improve from 0.40337\n",
            "Epoch 858/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0151 - accuracy: 0.9942 - val_loss: 1.0296 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00858: val_loss did not improve from 0.40337\n",
            "Epoch 859/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0103 - accuracy: 0.9958 - val_loss: 1.0162 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00859: val_loss did not improve from 0.40337\n",
            "Epoch 860/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0087 - accuracy: 0.9969 - val_loss: 0.9997 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00860: val_loss did not improve from 0.40337\n",
            "Epoch 861/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0067 - accuracy: 0.9977 - val_loss: 0.9853 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00861: val_loss did not improve from 0.40337\n",
            "Epoch 862/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0133 - accuracy: 0.9946 - val_loss: 0.9586 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00862: val_loss did not improve from 0.40337\n",
            "Epoch 863/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0140 - accuracy: 0.9954 - val_loss: 0.9508 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00863: val_loss did not improve from 0.40337\n",
            "Epoch 864/1000\n",
            "1/1 [==============================] - 0s 272ms/step - loss: 0.0149 - accuracy: 0.9950 - val_loss: 0.9790 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00864: val_loss did not improve from 0.40337\n",
            "Epoch 865/1000\n",
            "1/1 [==============================] - 0s 270ms/step - loss: 0.0104 - accuracy: 0.9962 - val_loss: 1.0174 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00865: val_loss did not improve from 0.40337\n",
            "Epoch 866/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0168 - accuracy: 0.9962 - val_loss: 1.0522 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00866: val_loss did not improve from 0.40337\n",
            "Epoch 867/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0175 - accuracy: 0.9946 - val_loss: 1.0787 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00867: val_loss did not improve from 0.40337\n",
            "Epoch 868/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0075 - accuracy: 0.9981 - val_loss: 1.0739 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00868: val_loss did not improve from 0.40337\n",
            "Epoch 869/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0132 - accuracy: 0.9946 - val_loss: 1.0363 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00869: val_loss did not improve from 0.40337\n",
            "Epoch 870/1000\n",
            "1/1 [==============================] - 0s 311ms/step - loss: 0.0083 - accuracy: 0.9965 - val_loss: 0.9784 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00870: val_loss did not improve from 0.40337\n",
            "Epoch 871/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0115 - accuracy: 0.9954 - val_loss: 0.9320 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00871: val_loss did not improve from 0.40337\n",
            "Epoch 872/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0135 - accuracy: 0.9962 - val_loss: 0.9057 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00872: val_loss did not improve from 0.40337\n",
            "Epoch 873/1000\n",
            "1/1 [==============================] - 0s 320ms/step - loss: 0.0100 - accuracy: 0.9962 - val_loss: 0.9003 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00873: val_loss did not improve from 0.40337\n",
            "Epoch 874/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0094 - accuracy: 0.9977 - val_loss: 0.9307 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00874: val_loss did not improve from 0.40337\n",
            "Epoch 875/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0099 - accuracy: 0.9965 - val_loss: 0.9989 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00875: val_loss did not improve from 0.40337\n",
            "Epoch 876/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0187 - accuracy: 0.9958 - val_loss: 1.0622 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00876: val_loss did not improve from 0.40337\n",
            "Epoch 877/1000\n",
            "1/1 [==============================] - 0s 305ms/step - loss: 0.0113 - accuracy: 0.9954 - val_loss: 1.0670 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00877: val_loss did not improve from 0.40337\n",
            "Epoch 878/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0121 - accuracy: 0.9954 - val_loss: 1.0157 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00878: val_loss did not improve from 0.40337\n",
            "Epoch 879/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0119 - accuracy: 0.9962 - val_loss: 0.9495 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00879: val_loss did not improve from 0.40337\n",
            "Epoch 880/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0083 - accuracy: 0.9977 - val_loss: 0.8909 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00880: val_loss did not improve from 0.40337\n",
            "Epoch 881/1000\n",
            "1/1 [==============================] - 0s 271ms/step - loss: 0.0105 - accuracy: 0.9969 - val_loss: 0.8546 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00881: val_loss did not improve from 0.40337\n",
            "Epoch 882/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0137 - accuracy: 0.9950 - val_loss: 0.8527 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00882: val_loss did not improve from 0.40337\n",
            "Epoch 883/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0106 - accuracy: 0.9977 - val_loss: 0.8922 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00883: val_loss did not improve from 0.40337\n",
            "Epoch 884/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0162 - accuracy: 0.9942 - val_loss: 0.9367 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00884: val_loss did not improve from 0.40337\n",
            "Epoch 885/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0158 - accuracy: 0.9931 - val_loss: 0.9985 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00885: val_loss did not improve from 0.40337\n",
            "Epoch 886/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0122 - accuracy: 0.9958 - val_loss: 1.0531 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00886: val_loss did not improve from 0.40337\n",
            "Epoch 887/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0092 - accuracy: 0.9977 - val_loss: 1.0953 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00887: val_loss did not improve from 0.40337\n",
            "Epoch 888/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0091 - accuracy: 0.9969 - val_loss: 1.1120 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00888: val_loss did not improve from 0.40337\n",
            "Epoch 889/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0102 - accuracy: 0.9965 - val_loss: 1.0919 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00889: val_loss did not improve from 0.40337\n",
            "Epoch 890/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0143 - accuracy: 0.9950 - val_loss: 1.0439 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00890: val_loss did not improve from 0.40337\n",
            "Epoch 891/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0101 - accuracy: 0.9958 - val_loss: 1.0123 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00891: val_loss did not improve from 0.40337\n",
            "Epoch 892/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0078 - accuracy: 0.9969 - val_loss: 0.9938 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00892: val_loss did not improve from 0.40337\n",
            "Epoch 893/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0093 - accuracy: 0.9969 - val_loss: 1.0045 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00893: val_loss did not improve from 0.40337\n",
            "Epoch 894/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0124 - accuracy: 0.9958 - val_loss: 1.0331 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00894: val_loss did not improve from 0.40337\n",
            "Epoch 895/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0107 - accuracy: 0.9973 - val_loss: 1.0647 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00895: val_loss did not improve from 0.40337\n",
            "Epoch 896/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0095 - accuracy: 0.9965 - val_loss: 1.1234 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00896: val_loss did not improve from 0.40337\n",
            "Epoch 897/1000\n",
            "1/1 [==============================] - 0s 310ms/step - loss: 0.0086 - accuracy: 0.9973 - val_loss: 1.1854 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00897: val_loss did not improve from 0.40337\n",
            "Epoch 898/1000\n",
            "1/1 [==============================] - 0s 321ms/step - loss: 0.0134 - accuracy: 0.9958 - val_loss: 1.2007 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00898: val_loss did not improve from 0.40337\n",
            "Epoch 899/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0183 - accuracy: 0.9950 - val_loss: 1.1325 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00899: val_loss did not improve from 0.40337\n",
            "Epoch 900/1000\n",
            "1/1 [==============================] - 0s 317ms/step - loss: 0.0152 - accuracy: 0.9954 - val_loss: 1.0323 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00900: val_loss did not improve from 0.40337\n",
            "Epoch 901/1000\n",
            "1/1 [==============================] - 0s 314ms/step - loss: 0.0155 - accuracy: 0.9939 - val_loss: 0.9462 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00901: val_loss did not improve from 0.40337\n",
            "Epoch 902/1000\n",
            "1/1 [==============================] - 0s 311ms/step - loss: 0.0054 - accuracy: 0.9981 - val_loss: 0.9094 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00902: val_loss did not improve from 0.40337\n",
            "Epoch 903/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0191 - accuracy: 0.9931 - val_loss: 0.9003 - val_accuracy: 0.8555\n",
            "\n",
            "Epoch 00903: val_loss did not improve from 0.40337\n",
            "Epoch 904/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0070 - accuracy: 0.9977 - val_loss: 0.8985 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00904: val_loss did not improve from 0.40337\n",
            "Epoch 905/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0100 - accuracy: 0.9965 - val_loss: 0.9160 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00905: val_loss did not improve from 0.40337\n",
            "Epoch 906/1000\n",
            "1/1 [==============================] - 0s 317ms/step - loss: 0.0086 - accuracy: 0.9981 - val_loss: 0.9476 - val_accuracy: 0.8613\n",
            "\n",
            "Epoch 00906: val_loss did not improve from 0.40337\n",
            "Epoch 907/1000\n",
            "1/1 [==============================] - 0s 316ms/step - loss: 0.0138 - accuracy: 0.9954 - val_loss: 0.9968 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00907: val_loss did not improve from 0.40337\n",
            "Epoch 908/1000\n",
            "1/1 [==============================] - 0s 315ms/step - loss: 0.0133 - accuracy: 0.9958 - val_loss: 1.0278 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00908: val_loss did not improve from 0.40337\n",
            "Epoch 909/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0164 - accuracy: 0.9942 - val_loss: 1.0567 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00909: val_loss did not improve from 0.40337\n",
            "Epoch 910/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0116 - accuracy: 0.9969 - val_loss: 1.0511 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00910: val_loss did not improve from 0.40337\n",
            "Epoch 911/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0092 - accuracy: 0.9958 - val_loss: 1.0138 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00911: val_loss did not improve from 0.40337\n",
            "Epoch 912/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0219 - accuracy: 0.9931 - val_loss: 0.9809 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00912: val_loss did not improve from 0.40337\n",
            "Epoch 913/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0124 - accuracy: 0.9946 - val_loss: 0.9523 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00913: val_loss did not improve from 0.40337\n",
            "Epoch 914/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0127 - accuracy: 0.9962 - val_loss: 0.9468 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00914: val_loss did not improve from 0.40337\n",
            "Epoch 915/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0139 - accuracy: 0.9962 - val_loss: 0.9479 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00915: val_loss did not improve from 0.40337\n",
            "Epoch 916/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0128 - accuracy: 0.9973 - val_loss: 0.9582 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00916: val_loss did not improve from 0.40337\n",
            "Epoch 917/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0110 - accuracy: 0.9958 - val_loss: 0.9728 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00917: val_loss did not improve from 0.40337\n",
            "Epoch 918/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0131 - accuracy: 0.9962 - val_loss: 1.0129 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00918: val_loss did not improve from 0.40337\n",
            "Epoch 919/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0121 - accuracy: 0.9969 - val_loss: 1.0562 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00919: val_loss did not improve from 0.40337\n",
            "Epoch 920/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0088 - accuracy: 0.9962 - val_loss: 1.0932 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00920: val_loss did not improve from 0.40337\n",
            "Epoch 921/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0118 - accuracy: 0.9962 - val_loss: 1.1108 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00921: val_loss did not improve from 0.40337\n",
            "Epoch 922/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0088 - accuracy: 0.9958 - val_loss: 1.1307 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00922: val_loss did not improve from 0.40337\n",
            "Epoch 923/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0124 - accuracy: 0.9969 - val_loss: 1.1519 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00923: val_loss did not improve from 0.40337\n",
            "Epoch 924/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0135 - accuracy: 0.9946 - val_loss: 1.1702 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00924: val_loss did not improve from 0.40337\n",
            "Epoch 925/1000\n",
            "1/1 [==============================] - 0s 300ms/step - loss: 0.0077 - accuracy: 0.9973 - val_loss: 1.1792 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00925: val_loss did not improve from 0.40337\n",
            "Epoch 926/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0092 - accuracy: 0.9965 - val_loss: 1.1942 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00926: val_loss did not improve from 0.40337\n",
            "Epoch 927/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0104 - accuracy: 0.9958 - val_loss: 1.1657 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00927: val_loss did not improve from 0.40337\n",
            "Epoch 928/1000\n",
            "1/1 [==============================] - 0s 291ms/step - loss: 0.0101 - accuracy: 0.9973 - val_loss: 1.1329 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00928: val_loss did not improve from 0.40337\n",
            "Epoch 929/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0156 - accuracy: 0.9965 - val_loss: 1.0839 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00929: val_loss did not improve from 0.40337\n",
            "Epoch 930/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0083 - accuracy: 0.9965 - val_loss: 1.0353 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00930: val_loss did not improve from 0.40337\n",
            "Epoch 931/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0082 - accuracy: 0.9973 - val_loss: 0.9985 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00931: val_loss did not improve from 0.40337\n",
            "Epoch 932/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0073 - accuracy: 0.9977 - val_loss: 0.9927 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00932: val_loss did not improve from 0.40337\n",
            "Epoch 933/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0104 - accuracy: 0.9965 - val_loss: 1.0047 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00933: val_loss did not improve from 0.40337\n",
            "Epoch 934/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0086 - accuracy: 0.9977 - val_loss: 0.9946 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00934: val_loss did not improve from 0.40337\n",
            "Epoch 935/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0075 - accuracy: 0.9977 - val_loss: 0.9556 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00935: val_loss did not improve from 0.40337\n",
            "Epoch 936/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0065 - accuracy: 0.9977 - val_loss: 0.9281 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00936: val_loss did not improve from 0.40337\n",
            "Epoch 937/1000\n",
            "1/1 [==============================] - 0s 283ms/step - loss: 0.0083 - accuracy: 0.9973 - val_loss: 0.9197 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00937: val_loss did not improve from 0.40337\n",
            "Epoch 938/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0083 - accuracy: 0.9973 - val_loss: 0.9242 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00938: val_loss did not improve from 0.40337\n",
            "Epoch 939/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0055 - accuracy: 0.9981 - val_loss: 0.9444 - val_accuracy: 0.8574\n",
            "\n",
            "Epoch 00939: val_loss did not improve from 0.40337\n",
            "Epoch 940/1000\n",
            "1/1 [==============================] - 0s 287ms/step - loss: 0.0081 - accuracy: 0.9969 - val_loss: 0.9823 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00940: val_loss did not improve from 0.40337\n",
            "Epoch 941/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0062 - accuracy: 0.9985 - val_loss: 1.0117 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00941: val_loss did not improve from 0.40337\n",
            "Epoch 942/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0092 - accuracy: 0.9958 - val_loss: 1.0127 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00942: val_loss did not improve from 0.40337\n",
            "Epoch 943/1000\n",
            "1/1 [==============================] - 0s 290ms/step - loss: 0.0124 - accuracy: 0.9958 - val_loss: 0.9869 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00943: val_loss did not improve from 0.40337\n",
            "Epoch 944/1000\n",
            "1/1 [==============================] - 0s 281ms/step - loss: 0.0119 - accuracy: 0.9962 - val_loss: 0.9689 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00944: val_loss did not improve from 0.40337\n",
            "Epoch 945/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0045 - accuracy: 0.9996 - val_loss: 0.9595 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00945: val_loss did not improve from 0.40337\n",
            "Epoch 946/1000\n",
            "1/1 [==============================] - 0s 279ms/step - loss: 0.0087 - accuracy: 0.9958 - val_loss: 0.9646 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00946: val_loss did not improve from 0.40337\n",
            "Epoch 947/1000\n",
            "1/1 [==============================] - 0s 284ms/step - loss: 0.0078 - accuracy: 0.9969 - val_loss: 0.9898 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00947: val_loss did not improve from 0.40337\n",
            "Epoch 948/1000\n",
            "1/1 [==============================] - 0s 321ms/step - loss: 0.0138 - accuracy: 0.9950 - val_loss: 1.0243 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00948: val_loss did not improve from 0.40337\n",
            "Epoch 949/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0177 - accuracy: 0.9958 - val_loss: 1.0529 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00949: val_loss did not improve from 0.40337\n",
            "Epoch 950/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0092 - accuracy: 0.9958 - val_loss: 1.0834 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00950: val_loss did not improve from 0.40337\n",
            "Epoch 951/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0115 - accuracy: 0.9950 - val_loss: 1.0870 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00951: val_loss did not improve from 0.40337\n",
            "Epoch 952/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0082 - accuracy: 0.9969 - val_loss: 1.0714 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00952: val_loss did not improve from 0.40337\n",
            "Epoch 953/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0071 - accuracy: 0.9977 - val_loss: 1.0483 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00953: val_loss did not improve from 0.40337\n",
            "Epoch 954/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0104 - accuracy: 0.9965 - val_loss: 1.0424 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00954: val_loss did not improve from 0.40337\n",
            "Epoch 955/1000\n",
            "1/1 [==============================] - 0s 315ms/step - loss: 0.0099 - accuracy: 0.9969 - val_loss: 1.0372 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00955: val_loss did not improve from 0.40337\n",
            "Epoch 956/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0085 - accuracy: 0.9962 - val_loss: 1.0195 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00956: val_loss did not improve from 0.40337\n",
            "Epoch 957/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0096 - accuracy: 0.9969 - val_loss: 1.0162 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00957: val_loss did not improve from 0.40337\n",
            "Epoch 958/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0093 - accuracy: 0.9969 - val_loss: 1.0317 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00958: val_loss did not improve from 0.40337\n",
            "Epoch 959/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0066 - accuracy: 0.9965 - val_loss: 1.0559 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00959: val_loss did not improve from 0.40337\n",
            "Epoch 960/1000\n",
            "1/1 [==============================] - 0s 295ms/step - loss: 0.0101 - accuracy: 0.9977 - val_loss: 1.0835 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00960: val_loss did not improve from 0.40337\n",
            "Epoch 961/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0099 - accuracy: 0.9977 - val_loss: 1.1113 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00961: val_loss did not improve from 0.40337\n",
            "Epoch 962/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0112 - accuracy: 0.9962 - val_loss: 1.0946 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00962: val_loss did not improve from 0.40337\n",
            "Epoch 963/1000\n",
            "1/1 [==============================] - 0s 304ms/step - loss: 0.0092 - accuracy: 0.9969 - val_loss: 1.0663 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00963: val_loss did not improve from 0.40337\n",
            "Epoch 964/1000\n",
            "1/1 [==============================] - 0s 307ms/step - loss: 0.0115 - accuracy: 0.9969 - val_loss: 1.0364 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00964: val_loss did not improve from 0.40337\n",
            "Epoch 965/1000\n",
            "1/1 [==============================] - 0s 325ms/step - loss: 0.0086 - accuracy: 0.9965 - val_loss: 1.0323 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00965: val_loss did not improve from 0.40337\n",
            "Epoch 966/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0088 - accuracy: 0.9969 - val_loss: 1.0385 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00966: val_loss did not improve from 0.40337\n",
            "Epoch 967/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0100 - accuracy: 0.9958 - val_loss: 1.0142 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00967: val_loss did not improve from 0.40337\n",
            "Epoch 968/1000\n",
            "1/1 [==============================] - 0s 289ms/step - loss: 0.0071 - accuracy: 0.9973 - val_loss: 1.0187 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00968: val_loss did not improve from 0.40337\n",
            "Epoch 969/1000\n",
            "1/1 [==============================] - 0s 273ms/step - loss: 0.0152 - accuracy: 0.9946 - val_loss: 1.0360 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00969: val_loss did not improve from 0.40337\n",
            "Epoch 970/1000\n",
            "1/1 [==============================] - 0s 286ms/step - loss: 0.0106 - accuracy: 0.9958 - val_loss: 1.0373 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00970: val_loss did not improve from 0.40337\n",
            "Epoch 971/1000\n",
            "1/1 [==============================] - 0s 294ms/step - loss: 0.0108 - accuracy: 0.9958 - val_loss: 1.0110 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00971: val_loss did not improve from 0.40337\n",
            "Epoch 972/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0103 - accuracy: 0.9973 - val_loss: 0.9813 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00972: val_loss did not improve from 0.40337\n",
            "Epoch 973/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0112 - accuracy: 0.9969 - val_loss: 0.9613 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00973: val_loss did not improve from 0.40337\n",
            "Epoch 974/1000\n",
            "1/1 [==============================] - 0s 302ms/step - loss: 0.0133 - accuracy: 0.9969 - val_loss: 0.9466 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00974: val_loss did not improve from 0.40337\n",
            "Epoch 975/1000\n",
            "1/1 [==============================] - 0s 280ms/step - loss: 0.0053 - accuracy: 0.9992 - val_loss: 0.9348 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00975: val_loss did not improve from 0.40337\n",
            "Epoch 976/1000\n",
            "1/1 [==============================] - 0s 277ms/step - loss: 0.0120 - accuracy: 0.9958 - val_loss: 0.9236 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00976: val_loss did not improve from 0.40337\n",
            "Epoch 977/1000\n",
            "1/1 [==============================] - 0s 278ms/step - loss: 0.0102 - accuracy: 0.9950 - val_loss: 0.9522 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00977: val_loss did not improve from 0.40337\n",
            "Epoch 978/1000\n",
            "1/1 [==============================] - 0s 306ms/step - loss: 0.0093 - accuracy: 0.9969 - val_loss: 1.0134 - val_accuracy: 0.8516\n",
            "\n",
            "Epoch 00978: val_loss did not improve from 0.40337\n",
            "Epoch 979/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0110 - accuracy: 0.9977 - val_loss: 1.0685 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00979: val_loss did not improve from 0.40337\n",
            "Epoch 980/1000\n",
            "1/1 [==============================] - 0s 282ms/step - loss: 0.0080 - accuracy: 0.9977 - val_loss: 1.1012 - val_accuracy: 0.8398\n",
            "\n",
            "Epoch 00980: val_loss did not improve from 0.40337\n",
            "Epoch 981/1000\n",
            "1/1 [==============================] - 0s 288ms/step - loss: 0.0143 - accuracy: 0.9942 - val_loss: 1.0621 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00981: val_loss did not improve from 0.40337\n",
            "Epoch 982/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0119 - accuracy: 0.9946 - val_loss: 1.0016 - val_accuracy: 0.8535\n",
            "\n",
            "Epoch 00982: val_loss did not improve from 0.40337\n",
            "Epoch 983/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0108 - accuracy: 0.9965 - val_loss: 0.9765 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00983: val_loss did not improve from 0.40337\n",
            "Epoch 984/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0079 - accuracy: 0.9969 - val_loss: 0.9786 - val_accuracy: 0.8379\n",
            "\n",
            "Epoch 00984: val_loss did not improve from 0.40337\n",
            "Epoch 985/1000\n",
            "1/1 [==============================] - 0s 327ms/step - loss: 0.0093 - accuracy: 0.9962 - val_loss: 1.0013 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00985: val_loss did not improve from 0.40337\n",
            "Epoch 986/1000\n",
            "1/1 [==============================] - 0s 322ms/step - loss: 0.0121 - accuracy: 0.9965 - val_loss: 1.0428 - val_accuracy: 0.8359\n",
            "\n",
            "Epoch 00986: val_loss did not improve from 0.40337\n",
            "Epoch 987/1000\n",
            "1/1 [==============================] - 0s 297ms/step - loss: 0.0072 - accuracy: 0.9969 - val_loss: 1.0795 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00987: val_loss did not improve from 0.40337\n",
            "Epoch 988/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0175 - accuracy: 0.9939 - val_loss: 1.0867 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00988: val_loss did not improve from 0.40337\n",
            "Epoch 989/1000\n",
            "1/1 [==============================] - 0s 309ms/step - loss: 0.0099 - accuracy: 0.9962 - val_loss: 1.0697 - val_accuracy: 0.8418\n",
            "\n",
            "Epoch 00989: val_loss did not improve from 0.40337\n",
            "Epoch 990/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0067 - accuracy: 0.9973 - val_loss: 1.0347 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00990: val_loss did not improve from 0.40337\n",
            "Epoch 991/1000\n",
            "1/1 [==============================] - 0s 301ms/step - loss: 0.0054 - accuracy: 0.9981 - val_loss: 0.9879 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00991: val_loss did not improve from 0.40337\n",
            "Epoch 992/1000\n",
            "1/1 [==============================] - 0s 285ms/step - loss: 0.0104 - accuracy: 0.9965 - val_loss: 0.9886 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00992: val_loss did not improve from 0.40337\n",
            "Epoch 993/1000\n",
            "1/1 [==============================] - 0s 296ms/step - loss: 0.0132 - accuracy: 0.9962 - val_loss: 0.9918 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00993: val_loss did not improve from 0.40337\n",
            "Epoch 994/1000\n",
            "1/1 [==============================] - 0s 293ms/step - loss: 0.0120 - accuracy: 0.9965 - val_loss: 0.9862 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00994: val_loss did not improve from 0.40337\n",
            "Epoch 995/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0049 - accuracy: 0.9988 - val_loss: 0.9818 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00995: val_loss did not improve from 0.40337\n",
            "Epoch 996/1000\n",
            "1/1 [==============================] - 0s 299ms/step - loss: 0.0119 - accuracy: 0.9965 - val_loss: 0.9941 - val_accuracy: 0.8496\n",
            "\n",
            "Epoch 00996: val_loss did not improve from 0.40337\n",
            "Epoch 997/1000\n",
            "1/1 [==============================] - 0s 292ms/step - loss: 0.0059 - accuracy: 0.9988 - val_loss: 1.0092 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00997: val_loss did not improve from 0.40337\n",
            "Epoch 998/1000\n",
            "1/1 [==============================] - 0s 298ms/step - loss: 0.0113 - accuracy: 0.9954 - val_loss: 1.0266 - val_accuracy: 0.8457\n",
            "\n",
            "Epoch 00998: val_loss did not improve from 0.40337\n",
            "Epoch 999/1000\n",
            "1/1 [==============================] - 0s 308ms/step - loss: 0.0061 - accuracy: 0.9981 - val_loss: 1.0226 - val_accuracy: 0.8477\n",
            "\n",
            "Epoch 00999: val_loss did not improve from 0.40337\n",
            "Epoch 1000/1000\n",
            "1/1 [==============================] - 0s 303ms/step - loss: 0.0071 - accuracy: 0.9973 - val_loss: 1.0274 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 01000: val_loss did not improve from 0.40337\n",
            "[+] Model trained\n",
            "0.84375\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9JnUGeb22Q8I",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dd1c6dc9-3b00-4279-919d-69ff7ca87156"
      },
      "source": [
        "import os\r\n",
        "# 0.5 dropout\r\n",
        "path = \"/content/emotion-recognition-using-speech/test_audio/\"\r\n",
        "all_files = os.listdir(path)\r\n",
        "print(all_files)\r\n",
        "list_files = [path + name for name in all_files]\r\n",
        "\r\n",
        "# print(\"list_file\",list_files)\r\n",
        "matched =0\r\n",
        "for audio_file in range(len(list_files)):\r\n",
        "    prediction = deeprec.predict(list_files[audio_file])\r\n",
        "    print(all_files[audio_file],\"\\t Prediction:\",prediction)\r\n",
        "    actual = all_files[audio_file].split('_')[-1]\r\n",
        "    actual = actual.split('.')[0]\r\n",
        "\r\n",
        "    if actual == prediction:\r\n",
        "      matched+=1\r\n",
        "\r\n",
        "print('Matched',matched)\r\n",
        "print('Total files', len(list_files))\r\n",
        "\r\n",
        "# print(\"Prediction:\",prediction)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['swasti_happy.wav', 'Parag_4_neutral.wav', 'Parag_neutral.wav', 'swasti_neutral.wav', 'swasti_2_happy.wav', 'swasti__2_angry.wav', 'Parag_angry.wav', 'swasti_sad.wav', 'Parag_2_happy.wav', 'Parag_2_angry.wav', 'swasti_2_neutral.wav', 'Parag_3_neutral.wav', 'Parag_sad.wav']\n",
            "swasti_happy.wav \t Prediction: angry\n",
            "Parag_4_neutral.wav \t Prediction: sad\n",
            "Parag_neutral.wav \t Prediction: neutral\n",
            "swasti_neutral.wav \t Prediction: neutral\n",
            "swasti_2_happy.wav \t Prediction: neutral\n",
            "swasti__2_angry.wav \t Prediction: angry\n",
            "Parag_angry.wav \t Prediction: angry\n",
            "swasti_sad.wav \t Prediction: neutral\n",
            "Parag_2_happy.wav \t Prediction: neutral\n",
            "Parag_2_angry.wav \t Prediction: sad\n",
            "swasti_2_neutral.wav \t Prediction: neutral\n",
            "Parag_3_neutral.wav \t Prediction: sad\n",
            "Parag_sad.wav \t Prediction: sad\n",
            "6\n",
            "13\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NqTMf9sE3xP6"
      },
      "source": [
        "# !mkdir old_data_files\r\n",
        "!mv /content/emotion-recognition-using-speech/test_custom.csv /content/emotion-recognition-using-speech/old_data_files/test_custom.csv\r\n",
        "!mv /content/emotion-recognition-using-speech/test_emodb.csv /content/emotion-recognition-using-speech/old_data_files/test_emodb.csv\r\n",
        "!mv /content/emotion-recognition-using-speech/test_tess_ravdess.csv /content/emotion-recognition-using-speech/old_data_files/test_tess_ravdess.csv\r\n",
        "!mv /content/emotion-recognition-using-speech/train_custom.csv /content/emotion-recognition-using-speech/old_data_files/train_custom.csv\r\n",
        "!mv /content/emotion-recognition-using-speech/train_emodb.csv /content/emotion-recognition-using-speech/old_data_files/train_emodb.csv\r\n",
        "!mv /content/emotion-recognition-using-speech/train_tess_ravdess.csv /content/emotion-recognition-using-speech/old_data_files/train_tess_ravdess.csv"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3uQ0PHqjntq4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5a000f11-6584-4e63-8226-08aa9e0fc4c9"
      },
      "source": [
        "!mkdir results\r\n",
        "!mkdir features"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "mkdir: cannot create directory ‘results’: File exists\n",
            "mkdir: cannot create directory ‘features’: File exists\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XDde5Y9dAot7",
        "outputId": "2654044c-e45c-4d29-c585-f81ccb27d8bd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!zip -r /content/emotion-recognition-using-speech/csv_file_with_extra_data.zip /content/emotion-recognition-using-speech/old_data_files "
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  adding: content/emotion-recognition-using-speech/old_data_files/ (stored 0%)\n",
            "  adding: content/emotion-recognition-using-speech/old_data_files/train_custom.csv (deflated 87%)\n",
            "  adding: content/emotion-recognition-using-speech/old_data_files/test_emodb.csv (deflated 79%)\n",
            "  adding: content/emotion-recognition-using-speech/old_data_files/train_tess_ravdess.csv (deflated 89%)\n",
            "  adding: content/emotion-recognition-using-speech/old_data_files/test_tess_ravdess.csv (deflated 90%)\n",
            "  adding: content/emotion-recognition-using-speech/old_data_files/test_custom.csv (deflated 86%)\n",
            "  adding: content/emotion-recognition-using-speech/old_data_files/train_emodb.csv (deflated 83%)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N_fJre0qBFjn",
        "outputId": "5f9e86c4-43f9-46e8-e1ea-a8b2dd30f243",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        }
      },
      "source": [
        "from google.colab import files\r\n",
        "files.download(\"/content/emotion-recognition-using-speech/csv_file_with_extra_data.zip\")"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_f30a8d5c-fddb-4008-82a8-f0ee62b94cb9\", \"csv_file_with_extra_data.zip\", 29981)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YOaMZhIdBRZV",
        "outputId": "ea83f22f-3da8-4cef-94e8-449a84c4b7e4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from deep_emotion_recognition import DeepEmotionRecognizer\r\n",
        "# initialize instance\r\n",
        "# inherited from emotion_recognition.EmotionRecognizer\r\n",
        "# default parameters (LSTM: 128x2, Dense:128x2)\r\n",
        "deeprec = DeepEmotionRecognizer(emotions=['angry', 'sad', 'neutral', 'happy'], n_rnn_layers=2, n_dense_layers=2, rnn_units=128, dense_units=128)\r\n",
        "# train the model\r\n",
        "deeprec.train()\r\n",
        "# get the accuracy\r\n",
        "print(deeprec.test_score())"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[TESS&RAVDESS] There are 815 training audio files for category:angry\n",
            "[TESS&RAVDESS] There are 148 testing audio files for category:angry\n",
            "[TESS&RAVDESS] There are 813 training audio files for category:sad\n",
            "[TESS&RAVDESS] There are 147 testing audio files for category:sad\n",
            "[TESS&RAVDESS] There are 598 training audio files for category:neutral\n",
            "[TESS&RAVDESS] There are 94 testing audio files for category:neutral\n",
            "[TESS&RAVDESS] There are 806 training audio files for category:happy\n",
            "[TESS&RAVDESS] There are 148 testing audio files for category:happy\n",
            "[+] Writed TESS & RAVDESS DB CSV File\n",
            "[EMO-DB] Total files to write: 339\n",
            "[EMO-DB] Training samples: 271\n",
            "[EMO-DB] Testing samples: 67\n",
            "[+] Writed EMO-DB CSV File\n",
            "[Custom Dataset] There are 5 training audio files for category:angry\n",
            "[Custom Dataset] There are 5 testing audio files for category:angry\n",
            "[Custom Dataset] There are 5 training audio files for category:sad\n",
            "[Custom Dataset] There are 5 testing audio files for category:sad\n",
            "[Custom Dataset] There are 61 training audio files for category:neutral\n",
            "[Custom Dataset] There are 33 testing audio files for category:neutral\n",
            "[Custom Dataset] There are 48 training audio files for category:happy\n",
            "[Custom Dataset] There are 23 testing audio files for category:happy\n",
            "[+] Writed Custom DB CSV File\n",
            "[+] Data loaded\n",
            "[+] Model created\n",
            "Epoch 1/800\n",
            "1/1 [==============================] - 3s 3s/step - loss: 1.7038 - accuracy: 0.2448 - val_loss: 1.3893 - val_accuracy: 0.2743\n",
            "\n",
            "Epoch 00001: val_loss improved from inf to 1.38931, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 2/800\n",
            "1/1 [==============================] - 2s 2s/step - loss: 1.5691 - accuracy: 0.2642 - val_loss: 1.3895 - val_accuracy: 0.2500\n",
            "\n",
            "Epoch 00002: val_loss did not improve from 1.38931\n",
            "Epoch 3/800\n",
            "1/1 [==============================] - 0s 156ms/step - loss: 1.5508 - accuracy: 0.2531 - val_loss: 1.3810 - val_accuracy: 0.3038\n",
            "\n",
            "Epoch 00003: val_loss improved from 1.38931 to 1.38100, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 4/800\n",
            "1/1 [==============================] - 0s 159ms/step - loss: 1.4837 - accuracy: 0.2680 - val_loss: 1.3809 - val_accuracy: 0.2639\n",
            "\n",
            "Epoch 00004: val_loss improved from 1.38100 to 1.38091, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 5/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 1.4787 - accuracy: 0.2607 - val_loss: 1.3801 - val_accuracy: 0.2517\n",
            "\n",
            "Epoch 00005: val_loss improved from 1.38091 to 1.38015, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 6/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 1.4545 - accuracy: 0.2528 - val_loss: 1.3777 - val_accuracy: 0.2604\n",
            "\n",
            "Epoch 00006: val_loss improved from 1.38015 to 1.37767, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 7/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 1.4439 - accuracy: 0.2562 - val_loss: 1.3749 - val_accuracy: 0.2969\n",
            "\n",
            "Epoch 00007: val_loss improved from 1.37767 to 1.37486, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 8/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 1.4307 - accuracy: 0.2618 - val_loss: 1.3723 - val_accuracy: 0.3368\n",
            "\n",
            "Epoch 00008: val_loss improved from 1.37486 to 1.37227, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 9/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 1.4151 - accuracy: 0.2701 - val_loss: 1.3700 - val_accuracy: 0.3368\n",
            "\n",
            "Epoch 00009: val_loss improved from 1.37227 to 1.36996, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 10/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 1.4036 - accuracy: 0.2607 - val_loss: 1.3678 - val_accuracy: 0.3438\n",
            "\n",
            "Epoch 00010: val_loss improved from 1.36996 to 1.36777, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 11/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 1.3971 - accuracy: 0.2746 - val_loss: 1.3656 - val_accuracy: 0.3628\n",
            "\n",
            "Epoch 00011: val_loss improved from 1.36777 to 1.36561, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 12/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 1.3916 - accuracy: 0.2759 - val_loss: 1.3632 - val_accuracy: 0.3767\n",
            "\n",
            "Epoch 00012: val_loss improved from 1.36561 to 1.36321, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 13/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 1.3810 - accuracy: 0.3012 - val_loss: 1.3606 - val_accuracy: 0.3785\n",
            "\n",
            "Epoch 00013: val_loss improved from 1.36321 to 1.36064, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 14/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 1.3856 - accuracy: 0.2839 - val_loss: 1.3580 - val_accuracy: 0.3837\n",
            "\n",
            "Epoch 00014: val_loss improved from 1.36064 to 1.35799, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 15/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 1.3791 - accuracy: 0.2953 - val_loss: 1.3551 - val_accuracy: 0.3924\n",
            "\n",
            "Epoch 00015: val_loss improved from 1.35799 to 1.35507, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 16/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 1.3794 - accuracy: 0.3019 - val_loss: 1.3519 - val_accuracy: 0.3941\n",
            "\n",
            "Epoch 00016: val_loss improved from 1.35507 to 1.35189, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 17/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 1.3705 - accuracy: 0.3050 - val_loss: 1.3486 - val_accuracy: 0.3906\n",
            "\n",
            "Epoch 00017: val_loss improved from 1.35189 to 1.34863, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 18/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 1.3589 - accuracy: 0.3243 - val_loss: 1.3452 - val_accuracy: 0.3906\n",
            "\n",
            "Epoch 00018: val_loss improved from 1.34863 to 1.34519, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 19/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 1.3548 - accuracy: 0.3181 - val_loss: 1.3413 - val_accuracy: 0.3872\n",
            "\n",
            "Epoch 00019: val_loss improved from 1.34519 to 1.34126, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 20/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 1.3483 - accuracy: 0.3337 - val_loss: 1.3366 - val_accuracy: 0.3941\n",
            "\n",
            "Epoch 00020: val_loss improved from 1.34126 to 1.33660, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 21/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 1.3463 - accuracy: 0.3351 - val_loss: 1.3316 - val_accuracy: 0.3958\n",
            "\n",
            "Epoch 00021: val_loss improved from 1.33660 to 1.33157, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 22/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 1.3440 - accuracy: 0.3389 - val_loss: 1.3272 - val_accuracy: 0.3924\n",
            "\n",
            "Epoch 00022: val_loss improved from 1.33157 to 1.32717, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 23/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 1.3283 - accuracy: 0.3634 - val_loss: 1.3224 - val_accuracy: 0.3958\n",
            "\n",
            "Epoch 00023: val_loss improved from 1.32717 to 1.32243, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 24/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 1.3248 - accuracy: 0.3586 - val_loss: 1.3169 - val_accuracy: 0.4045\n",
            "\n",
            "Epoch 00024: val_loss improved from 1.32243 to 1.31693, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 25/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 1.3220 - accuracy: 0.3617 - val_loss: 1.3088 - val_accuracy: 0.4201\n",
            "\n",
            "Epoch 00025: val_loss improved from 1.31693 to 1.30883, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 26/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 1.3090 - accuracy: 0.3717 - val_loss: 1.3008 - val_accuracy: 0.4253\n",
            "\n",
            "Epoch 00026: val_loss improved from 1.30883 to 1.30076, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 27/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 1.2994 - accuracy: 0.3952 - val_loss: 1.2915 - val_accuracy: 0.4323\n",
            "\n",
            "Epoch 00027: val_loss improved from 1.30076 to 1.29150, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 28/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 1.2968 - accuracy: 0.3949 - val_loss: 1.2807 - val_accuracy: 0.4444\n",
            "\n",
            "Epoch 00028: val_loss improved from 1.29150 to 1.28070, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 29/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 1.2812 - accuracy: 0.4146 - val_loss: 1.2688 - val_accuracy: 0.4531\n",
            "\n",
            "Epoch 00029: val_loss improved from 1.28070 to 1.26880, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 30/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 1.2733 - accuracy: 0.4080 - val_loss: 1.2565 - val_accuracy: 0.4583\n",
            "\n",
            "Epoch 00030: val_loss improved from 1.26880 to 1.25654, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 31/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 1.2646 - accuracy: 0.4219 - val_loss: 1.2453 - val_accuracy: 0.4670\n",
            "\n",
            "Epoch 00031: val_loss improved from 1.25654 to 1.24527, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 32/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 1.2578 - accuracy: 0.4288 - val_loss: 1.2363 - val_accuracy: 0.4792\n",
            "\n",
            "Epoch 00032: val_loss improved from 1.24527 to 1.23633, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 33/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 1.2343 - accuracy: 0.4485 - val_loss: 1.2266 - val_accuracy: 0.4826\n",
            "\n",
            "Epoch 00033: val_loss improved from 1.23633 to 1.22664, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 34/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 1.2226 - accuracy: 0.4523 - val_loss: 1.2134 - val_accuracy: 0.4809\n",
            "\n",
            "Epoch 00034: val_loss improved from 1.22664 to 1.21340, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 35/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 1.2145 - accuracy: 0.4661 - val_loss: 1.1958 - val_accuracy: 0.4913\n",
            "\n",
            "Epoch 00035: val_loss improved from 1.21340 to 1.19584, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 36/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 1.1950 - accuracy: 0.4699 - val_loss: 1.1786 - val_accuracy: 0.5000\n",
            "\n",
            "Epoch 00036: val_loss improved from 1.19584 to 1.17860, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 37/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 1.1849 - accuracy: 0.4710 - val_loss: 1.1616 - val_accuracy: 0.5122\n",
            "\n",
            "Epoch 00037: val_loss improved from 1.17860 to 1.16160, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 38/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 1.1654 - accuracy: 0.4886 - val_loss: 1.1476 - val_accuracy: 0.5122\n",
            "\n",
            "Epoch 00038: val_loss improved from 1.16160 to 1.14761, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 39/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 1.1532 - accuracy: 0.4990 - val_loss: 1.1359 - val_accuracy: 0.5208\n",
            "\n",
            "Epoch 00039: val_loss improved from 1.14761 to 1.13595, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 40/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 1.1285 - accuracy: 0.4993 - val_loss: 1.1219 - val_accuracy: 0.5174\n",
            "\n",
            "Epoch 00040: val_loss improved from 1.13595 to 1.12190, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 41/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 1.1139 - accuracy: 0.5221 - val_loss: 1.1066 - val_accuracy: 0.5260\n",
            "\n",
            "Epoch 00041: val_loss improved from 1.12190 to 1.10665, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 42/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 1.0993 - accuracy: 0.5373 - val_loss: 1.0904 - val_accuracy: 0.5451\n",
            "\n",
            "Epoch 00042: val_loss improved from 1.10665 to 1.09041, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 43/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 1.0753 - accuracy: 0.5529 - val_loss: 1.0696 - val_accuracy: 0.5486\n",
            "\n",
            "Epoch 00043: val_loss improved from 1.09041 to 1.06963, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 44/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 1.0682 - accuracy: 0.5477 - val_loss: 1.0506 - val_accuracy: 0.5434\n",
            "\n",
            "Epoch 00044: val_loss improved from 1.06963 to 1.05057, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 45/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 1.0337 - accuracy: 0.5674 - val_loss: 1.0363 - val_accuracy: 0.5469\n",
            "\n",
            "Epoch 00045: val_loss improved from 1.05057 to 1.03630, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 46/800\n",
            "1/1 [==============================] - 0s 159ms/step - loss: 1.0119 - accuracy: 0.5820 - val_loss: 1.0178 - val_accuracy: 0.5677\n",
            "\n",
            "Epoch 00046: val_loss improved from 1.03630 to 1.01784, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 47/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 1.0062 - accuracy: 0.5792 - val_loss: 0.9992 - val_accuracy: 0.5955\n",
            "\n",
            "Epoch 00047: val_loss improved from 1.01784 to 0.99920, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 48/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.9832 - accuracy: 0.5941 - val_loss: 0.9807 - val_accuracy: 0.6059\n",
            "\n",
            "Epoch 00048: val_loss improved from 0.99920 to 0.98071, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 49/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.9790 - accuracy: 0.5985 - val_loss: 0.9616 - val_accuracy: 0.6059\n",
            "\n",
            "Epoch 00049: val_loss improved from 0.98071 to 0.96164, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 50/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.9444 - accuracy: 0.6065 - val_loss: 0.9460 - val_accuracy: 0.6111\n",
            "\n",
            "Epoch 00050: val_loss improved from 0.96164 to 0.94599, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 51/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 0.9331 - accuracy: 0.6186 - val_loss: 0.9333 - val_accuracy: 0.6215\n",
            "\n",
            "Epoch 00051: val_loss improved from 0.94599 to 0.93330, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 52/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.9217 - accuracy: 0.6252 - val_loss: 0.9253 - val_accuracy: 0.6285\n",
            "\n",
            "Epoch 00052: val_loss improved from 0.93330 to 0.92534, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 53/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.9131 - accuracy: 0.6328 - val_loss: 0.9121 - val_accuracy: 0.6424\n",
            "\n",
            "Epoch 00053: val_loss improved from 0.92534 to 0.91211, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 54/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.8697 - accuracy: 0.6521 - val_loss: 0.9020 - val_accuracy: 0.6372\n",
            "\n",
            "Epoch 00054: val_loss improved from 0.91211 to 0.90197, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 55/800\n",
            "1/1 [==============================] - 0s 157ms/step - loss: 0.8772 - accuracy: 0.6373 - val_loss: 0.8911 - val_accuracy: 0.6406\n",
            "\n",
            "Epoch 00055: val_loss improved from 0.90197 to 0.89115, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 56/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 0.8586 - accuracy: 0.6483 - val_loss: 0.8793 - val_accuracy: 0.6476\n",
            "\n",
            "Epoch 00056: val_loss improved from 0.89115 to 0.87930, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 57/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.8545 - accuracy: 0.6463 - val_loss: 0.8744 - val_accuracy: 0.6528\n",
            "\n",
            "Epoch 00057: val_loss improved from 0.87930 to 0.87442, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 58/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.8362 - accuracy: 0.6615 - val_loss: 0.8665 - val_accuracy: 0.6597\n",
            "\n",
            "Epoch 00058: val_loss improved from 0.87442 to 0.86645, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 59/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.8129 - accuracy: 0.6732 - val_loss: 0.8604 - val_accuracy: 0.6684\n",
            "\n",
            "Epoch 00059: val_loss improved from 0.86645 to 0.86040, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 60/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.8049 - accuracy: 0.6805 - val_loss: 0.8538 - val_accuracy: 0.6719\n",
            "\n",
            "Epoch 00060: val_loss improved from 0.86040 to 0.85376, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 61/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.7955 - accuracy: 0.6840 - val_loss: 0.8476 - val_accuracy: 0.6684\n",
            "\n",
            "Epoch 00061: val_loss improved from 0.85376 to 0.84759, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 62/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.7762 - accuracy: 0.6926 - val_loss: 0.8376 - val_accuracy: 0.6701\n",
            "\n",
            "Epoch 00062: val_loss improved from 0.84759 to 0.83761, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 63/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.7801 - accuracy: 0.6902 - val_loss: 0.8273 - val_accuracy: 0.6649\n",
            "\n",
            "Epoch 00063: val_loss improved from 0.83761 to 0.82725, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 64/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.7832 - accuracy: 0.6833 - val_loss: 0.8184 - val_accuracy: 0.6701\n",
            "\n",
            "Epoch 00064: val_loss improved from 0.82725 to 0.81840, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 65/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.7445 - accuracy: 0.6912 - val_loss: 0.8097 - val_accuracy: 0.6719\n",
            "\n",
            "Epoch 00065: val_loss improved from 0.81840 to 0.80975, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 66/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.7450 - accuracy: 0.6888 - val_loss: 0.8018 - val_accuracy: 0.6719\n",
            "\n",
            "Epoch 00066: val_loss improved from 0.80975 to 0.80183, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 67/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.7366 - accuracy: 0.6895 - val_loss: 0.7948 - val_accuracy: 0.6701\n",
            "\n",
            "Epoch 00067: val_loss improved from 0.80183 to 0.79477, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 68/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.7463 - accuracy: 0.6812 - val_loss: 0.7871 - val_accuracy: 0.6701\n",
            "\n",
            "Epoch 00068: val_loss improved from 0.79477 to 0.78713, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 69/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.7228 - accuracy: 0.7075 - val_loss: 0.7813 - val_accuracy: 0.6753\n",
            "\n",
            "Epoch 00069: val_loss improved from 0.78713 to 0.78131, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 70/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.7159 - accuracy: 0.7057 - val_loss: 0.7766 - val_accuracy: 0.6771\n",
            "\n",
            "Epoch 00070: val_loss improved from 0.78131 to 0.77659, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 71/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.6955 - accuracy: 0.7123 - val_loss: 0.7713 - val_accuracy: 0.6771\n",
            "\n",
            "Epoch 00071: val_loss improved from 0.77659 to 0.77131, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 72/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.6860 - accuracy: 0.7192 - val_loss: 0.7645 - val_accuracy: 0.6788\n",
            "\n",
            "Epoch 00072: val_loss improved from 0.77131 to 0.76454, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 73/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.6919 - accuracy: 0.7223 - val_loss: 0.7577 - val_accuracy: 0.6858\n",
            "\n",
            "Epoch 00073: val_loss improved from 0.76454 to 0.75775, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 74/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.6666 - accuracy: 0.7296 - val_loss: 0.7518 - val_accuracy: 0.6858\n",
            "\n",
            "Epoch 00074: val_loss improved from 0.75775 to 0.75177, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 75/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.6932 - accuracy: 0.7251 - val_loss: 0.7449 - val_accuracy: 0.6892\n",
            "\n",
            "Epoch 00075: val_loss improved from 0.75177 to 0.74493, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 76/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.6589 - accuracy: 0.7331 - val_loss: 0.7377 - val_accuracy: 0.6806\n",
            "\n",
            "Epoch 00076: val_loss improved from 0.74493 to 0.73768, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 77/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.6501 - accuracy: 0.7244 - val_loss: 0.7323 - val_accuracy: 0.6823\n",
            "\n",
            "Epoch 00077: val_loss improved from 0.73768 to 0.73234, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 78/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.6554 - accuracy: 0.7362 - val_loss: 0.7287 - val_accuracy: 0.6875\n",
            "\n",
            "Epoch 00078: val_loss improved from 0.73234 to 0.72869, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 79/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.6295 - accuracy: 0.7327 - val_loss: 0.7267 - val_accuracy: 0.6840\n",
            "\n",
            "Epoch 00079: val_loss improved from 0.72869 to 0.72667, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 80/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.6283 - accuracy: 0.7510 - val_loss: 0.7275 - val_accuracy: 0.6858\n",
            "\n",
            "Epoch 00080: val_loss did not improve from 0.72667\n",
            "Epoch 81/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.6374 - accuracy: 0.7403 - val_loss: 0.7239 - val_accuracy: 0.6892\n",
            "\n",
            "Epoch 00081: val_loss improved from 0.72667 to 0.72388, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 82/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.6249 - accuracy: 0.7448 - val_loss: 0.7171 - val_accuracy: 0.6979\n",
            "\n",
            "Epoch 00082: val_loss improved from 0.72388 to 0.71706, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 83/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.6159 - accuracy: 0.7486 - val_loss: 0.7029 - val_accuracy: 0.6979\n",
            "\n",
            "Epoch 00083: val_loss improved from 0.71706 to 0.70292, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 84/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 0.6139 - accuracy: 0.7424 - val_loss: 0.6881 - val_accuracy: 0.6979\n",
            "\n",
            "Epoch 00084: val_loss improved from 0.70292 to 0.68812, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 85/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.6047 - accuracy: 0.7521 - val_loss: 0.6773 - val_accuracy: 0.7066\n",
            "\n",
            "Epoch 00085: val_loss improved from 0.68812 to 0.67730, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 86/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.6028 - accuracy: 0.7448 - val_loss: 0.6690 - val_accuracy: 0.7049\n",
            "\n",
            "Epoch 00086: val_loss improved from 0.67730 to 0.66901, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 87/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.6028 - accuracy: 0.7586 - val_loss: 0.6633 - val_accuracy: 0.7101\n",
            "\n",
            "Epoch 00087: val_loss improved from 0.66901 to 0.66326, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 88/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.5701 - accuracy: 0.7607 - val_loss: 0.6588 - val_accuracy: 0.7049\n",
            "\n",
            "Epoch 00088: val_loss improved from 0.66326 to 0.65878, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 89/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.5787 - accuracy: 0.7707 - val_loss: 0.6566 - val_accuracy: 0.7066\n",
            "\n",
            "Epoch 00089: val_loss improved from 0.65878 to 0.65663, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 90/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.5671 - accuracy: 0.7652 - val_loss: 0.6519 - val_accuracy: 0.7101\n",
            "\n",
            "Epoch 00090: val_loss improved from 0.65663 to 0.65188, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 91/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.5879 - accuracy: 0.7548 - val_loss: 0.6491 - val_accuracy: 0.7153\n",
            "\n",
            "Epoch 00091: val_loss improved from 0.65188 to 0.64912, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 92/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.5605 - accuracy: 0.7649 - val_loss: 0.6485 - val_accuracy: 0.7101\n",
            "\n",
            "Epoch 00092: val_loss improved from 0.64912 to 0.64846, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 93/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.5545 - accuracy: 0.7673 - val_loss: 0.6487 - val_accuracy: 0.7066\n",
            "\n",
            "Epoch 00093: val_loss did not improve from 0.64846\n",
            "Epoch 94/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.5499 - accuracy: 0.7766 - val_loss: 0.6488 - val_accuracy: 0.7118\n",
            "\n",
            "Epoch 00094: val_loss did not improve from 0.64846\n",
            "Epoch 95/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 0.5514 - accuracy: 0.7763 - val_loss: 0.6382 - val_accuracy: 0.7135\n",
            "\n",
            "Epoch 00095: val_loss improved from 0.64846 to 0.63821, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 96/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.5369 - accuracy: 0.7752 - val_loss: 0.6220 - val_accuracy: 0.7135\n",
            "\n",
            "Epoch 00096: val_loss improved from 0.63821 to 0.62200, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 97/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.5378 - accuracy: 0.7811 - val_loss: 0.6103 - val_accuracy: 0.7240\n",
            "\n",
            "Epoch 00097: val_loss improved from 0.62200 to 0.61033, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 98/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.5357 - accuracy: 0.7794 - val_loss: 0.6025 - val_accuracy: 0.7257\n",
            "\n",
            "Epoch 00098: val_loss improved from 0.61033 to 0.60246, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 99/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.5463 - accuracy: 0.7770 - val_loss: 0.6013 - val_accuracy: 0.7344\n",
            "\n",
            "Epoch 00099: val_loss improved from 0.60246 to 0.60135, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 100/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.5290 - accuracy: 0.7863 - val_loss: 0.5998 - val_accuracy: 0.7344\n",
            "\n",
            "Epoch 00100: val_loss improved from 0.60135 to 0.59983, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 101/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.5030 - accuracy: 0.7939 - val_loss: 0.5986 - val_accuracy: 0.7326\n",
            "\n",
            "Epoch 00101: val_loss improved from 0.59983 to 0.59857, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 102/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.5046 - accuracy: 0.7905 - val_loss: 0.5944 - val_accuracy: 0.7344\n",
            "\n",
            "Epoch 00102: val_loss improved from 0.59857 to 0.59440, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 103/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.5058 - accuracy: 0.7915 - val_loss: 0.5830 - val_accuracy: 0.7396\n",
            "\n",
            "Epoch 00103: val_loss improved from 0.59440 to 0.58298, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 104/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.5045 - accuracy: 0.7918 - val_loss: 0.5681 - val_accuracy: 0.7465\n",
            "\n",
            "Epoch 00104: val_loss improved from 0.58298 to 0.56806, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 105/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.4954 - accuracy: 0.7898 - val_loss: 0.5604 - val_accuracy: 0.7517\n",
            "\n",
            "Epoch 00105: val_loss improved from 0.56806 to 0.56037, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 106/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.4970 - accuracy: 0.7908 - val_loss: 0.5545 - val_accuracy: 0.7413\n",
            "\n",
            "Epoch 00106: val_loss improved from 0.56037 to 0.55445, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 107/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.4863 - accuracy: 0.8015 - val_loss: 0.5497 - val_accuracy: 0.7448\n",
            "\n",
            "Epoch 00107: val_loss improved from 0.55445 to 0.54969, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 108/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.4805 - accuracy: 0.8067 - val_loss: 0.5490 - val_accuracy: 0.7535\n",
            "\n",
            "Epoch 00108: val_loss improved from 0.54969 to 0.54904, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 109/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 0.5009 - accuracy: 0.7939 - val_loss: 0.5463 - val_accuracy: 0.7500\n",
            "\n",
            "Epoch 00109: val_loss improved from 0.54904 to 0.54631, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 110/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.4631 - accuracy: 0.8039 - val_loss: 0.5495 - val_accuracy: 0.7552\n",
            "\n",
            "Epoch 00110: val_loss did not improve from 0.54631\n",
            "Epoch 111/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 0.4593 - accuracy: 0.8178 - val_loss: 0.5512 - val_accuracy: 0.7517\n",
            "\n",
            "Epoch 00111: val_loss did not improve from 0.54631\n",
            "Epoch 112/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 0.4810 - accuracy: 0.8084 - val_loss: 0.5469 - val_accuracy: 0.7656\n",
            "\n",
            "Epoch 00112: val_loss did not improve from 0.54631\n",
            "Epoch 113/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.4603 - accuracy: 0.8171 - val_loss: 0.5383 - val_accuracy: 0.7656\n",
            "\n",
            "Epoch 00113: val_loss improved from 0.54631 to 0.53829, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 114/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.4653 - accuracy: 0.8167 - val_loss: 0.5305 - val_accuracy: 0.7691\n",
            "\n",
            "Epoch 00114: val_loss improved from 0.53829 to 0.53050, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 115/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 0.4623 - accuracy: 0.8181 - val_loss: 0.5302 - val_accuracy: 0.7639\n",
            "\n",
            "Epoch 00115: val_loss improved from 0.53050 to 0.53018, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 116/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.4572 - accuracy: 0.8157 - val_loss: 0.5311 - val_accuracy: 0.7708\n",
            "\n",
            "Epoch 00116: val_loss did not improve from 0.53018\n",
            "Epoch 117/800\n",
            "1/1 [==============================] - 0s 160ms/step - loss: 0.4837 - accuracy: 0.8036 - val_loss: 0.5256 - val_accuracy: 0.7760\n",
            "\n",
            "Epoch 00117: val_loss improved from 0.53018 to 0.52556, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 118/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.4421 - accuracy: 0.8237 - val_loss: 0.5130 - val_accuracy: 0.7760\n",
            "\n",
            "Epoch 00118: val_loss improved from 0.52556 to 0.51302, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 119/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.4506 - accuracy: 0.8264 - val_loss: 0.5028 - val_accuracy: 0.7795\n",
            "\n",
            "Epoch 00119: val_loss improved from 0.51302 to 0.50281, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 120/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.4415 - accuracy: 0.8157 - val_loss: 0.5022 - val_accuracy: 0.7760\n",
            "\n",
            "Epoch 00120: val_loss improved from 0.50281 to 0.50222, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 121/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.4233 - accuracy: 0.8281 - val_loss: 0.5070 - val_accuracy: 0.7708\n",
            "\n",
            "Epoch 00121: val_loss did not improve from 0.50222\n",
            "Epoch 122/800\n",
            "1/1 [==============================] - 0s 159ms/step - loss: 0.4367 - accuracy: 0.8233 - val_loss: 0.5139 - val_accuracy: 0.7778\n",
            "\n",
            "Epoch 00122: val_loss did not improve from 0.50222\n",
            "Epoch 123/800\n",
            "1/1 [==============================] - 0s 161ms/step - loss: 0.4282 - accuracy: 0.8361 - val_loss: 0.5129 - val_accuracy: 0.7795\n",
            "\n",
            "Epoch 00123: val_loss did not improve from 0.50222\n",
            "Epoch 124/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.4186 - accuracy: 0.8323 - val_loss: 0.5028 - val_accuracy: 0.7795\n",
            "\n",
            "Epoch 00124: val_loss did not improve from 0.50222\n",
            "Epoch 125/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.4213 - accuracy: 0.8399 - val_loss: 0.5012 - val_accuracy: 0.7899\n",
            "\n",
            "Epoch 00125: val_loss improved from 0.50222 to 0.50121, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 126/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.4094 - accuracy: 0.8371 - val_loss: 0.5035 - val_accuracy: 0.7795\n",
            "\n",
            "Epoch 00126: val_loss did not improve from 0.50121\n",
            "Epoch 127/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.4186 - accuracy: 0.8316 - val_loss: 0.5039 - val_accuracy: 0.7812\n",
            "\n",
            "Epoch 00127: val_loss did not improve from 0.50121\n",
            "Epoch 128/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.4238 - accuracy: 0.8292 - val_loss: 0.5044 - val_accuracy: 0.7743\n",
            "\n",
            "Epoch 00128: val_loss did not improve from 0.50121\n",
            "Epoch 129/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.4183 - accuracy: 0.8354 - val_loss: 0.4981 - val_accuracy: 0.7795\n",
            "\n",
            "Epoch 00129: val_loss improved from 0.50121 to 0.49806, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 130/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.4181 - accuracy: 0.8333 - val_loss: 0.4894 - val_accuracy: 0.7951\n",
            "\n",
            "Epoch 00130: val_loss improved from 0.49806 to 0.48937, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 131/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.4058 - accuracy: 0.8458 - val_loss: 0.4827 - val_accuracy: 0.7969\n",
            "\n",
            "Epoch 00131: val_loss improved from 0.48937 to 0.48267, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 132/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.3965 - accuracy: 0.8430 - val_loss: 0.4836 - val_accuracy: 0.8003\n",
            "\n",
            "Epoch 00132: val_loss did not improve from 0.48267\n",
            "Epoch 133/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.4066 - accuracy: 0.8458 - val_loss: 0.4959 - val_accuracy: 0.7847\n",
            "\n",
            "Epoch 00133: val_loss did not improve from 0.48267\n",
            "Epoch 134/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.3999 - accuracy: 0.8392 - val_loss: 0.4918 - val_accuracy: 0.7830\n",
            "\n",
            "Epoch 00134: val_loss did not improve from 0.48267\n",
            "Epoch 135/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.4170 - accuracy: 0.8382 - val_loss: 0.4841 - val_accuracy: 0.7865\n",
            "\n",
            "Epoch 00135: val_loss did not improve from 0.48267\n",
            "Epoch 136/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3876 - accuracy: 0.8423 - val_loss: 0.4859 - val_accuracy: 0.7847\n",
            "\n",
            "Epoch 00136: val_loss did not improve from 0.48267\n",
            "Epoch 137/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.3845 - accuracy: 0.8489 - val_loss: 0.4759 - val_accuracy: 0.7934\n",
            "\n",
            "Epoch 00137: val_loss improved from 0.48267 to 0.47593, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 138/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.3889 - accuracy: 0.8527 - val_loss: 0.4668 - val_accuracy: 0.8021\n",
            "\n",
            "Epoch 00138: val_loss improved from 0.47593 to 0.46677, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 139/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.3778 - accuracy: 0.8482 - val_loss: 0.4622 - val_accuracy: 0.7969\n",
            "\n",
            "Epoch 00139: val_loss improved from 0.46677 to 0.46221, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 140/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.3864 - accuracy: 0.8548 - val_loss: 0.4663 - val_accuracy: 0.8003\n",
            "\n",
            "Epoch 00140: val_loss did not improve from 0.46221\n",
            "Epoch 141/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.3733 - accuracy: 0.8562 - val_loss: 0.4869 - val_accuracy: 0.7899\n",
            "\n",
            "Epoch 00141: val_loss did not improve from 0.46221\n",
            "Epoch 142/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.3846 - accuracy: 0.8475 - val_loss: 0.4958 - val_accuracy: 0.7986\n",
            "\n",
            "Epoch 00142: val_loss did not improve from 0.46221\n",
            "Epoch 143/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.3857 - accuracy: 0.8468 - val_loss: 0.4744 - val_accuracy: 0.7847\n",
            "\n",
            "Epoch 00143: val_loss did not improve from 0.46221\n",
            "Epoch 144/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3629 - accuracy: 0.8555 - val_loss: 0.4481 - val_accuracy: 0.8108\n",
            "\n",
            "Epoch 00144: val_loss improved from 0.46221 to 0.44808, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 145/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.3613 - accuracy: 0.8593 - val_loss: 0.4354 - val_accuracy: 0.8194\n",
            "\n",
            "Epoch 00145: val_loss improved from 0.44808 to 0.43544, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 146/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.3814 - accuracy: 0.8472 - val_loss: 0.4379 - val_accuracy: 0.8142\n",
            "\n",
            "Epoch 00146: val_loss did not improve from 0.43544\n",
            "Epoch 147/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.3633 - accuracy: 0.8558 - val_loss: 0.4500 - val_accuracy: 0.8142\n",
            "\n",
            "Epoch 00147: val_loss did not improve from 0.43544\n",
            "Epoch 148/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.3549 - accuracy: 0.8607 - val_loss: 0.4586 - val_accuracy: 0.8038\n",
            "\n",
            "Epoch 00148: val_loss did not improve from 0.43544\n",
            "Epoch 149/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.3498 - accuracy: 0.8589 - val_loss: 0.4499 - val_accuracy: 0.7951\n",
            "\n",
            "Epoch 00149: val_loss did not improve from 0.43544\n",
            "Epoch 150/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.3656 - accuracy: 0.8534 - val_loss: 0.4393 - val_accuracy: 0.8073\n",
            "\n",
            "Epoch 00150: val_loss did not improve from 0.43544\n",
            "Epoch 151/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.3338 - accuracy: 0.8755 - val_loss: 0.4399 - val_accuracy: 0.8003\n",
            "\n",
            "Epoch 00151: val_loss did not improve from 0.43544\n",
            "Epoch 152/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3423 - accuracy: 0.8658 - val_loss: 0.4448 - val_accuracy: 0.8125\n",
            "\n",
            "Epoch 00152: val_loss did not improve from 0.43544\n",
            "Epoch 153/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.3533 - accuracy: 0.8638 - val_loss: 0.4485 - val_accuracy: 0.8212\n",
            "\n",
            "Epoch 00153: val_loss did not improve from 0.43544\n",
            "Epoch 154/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.3577 - accuracy: 0.8638 - val_loss: 0.4430 - val_accuracy: 0.8142\n",
            "\n",
            "Epoch 00154: val_loss did not improve from 0.43544\n",
            "Epoch 155/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.3355 - accuracy: 0.8728 - val_loss: 0.4450 - val_accuracy: 0.8021\n",
            "\n",
            "Epoch 00155: val_loss did not improve from 0.43544\n",
            "Epoch 156/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.3589 - accuracy: 0.8572 - val_loss: 0.4529 - val_accuracy: 0.7951\n",
            "\n",
            "Epoch 00156: val_loss did not improve from 0.43544\n",
            "Epoch 157/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3427 - accuracy: 0.8665 - val_loss: 0.4511 - val_accuracy: 0.7986\n",
            "\n",
            "Epoch 00157: val_loss did not improve from 0.43544\n",
            "Epoch 158/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3530 - accuracy: 0.8582 - val_loss: 0.4411 - val_accuracy: 0.8229\n",
            "\n",
            "Epoch 00158: val_loss did not improve from 0.43544\n",
            "Epoch 159/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.3399 - accuracy: 0.8696 - val_loss: 0.4312 - val_accuracy: 0.8299\n",
            "\n",
            "Epoch 00159: val_loss improved from 0.43544 to 0.43117, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 160/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.3309 - accuracy: 0.8700 - val_loss: 0.4296 - val_accuracy: 0.8299\n",
            "\n",
            "Epoch 00160: val_loss improved from 0.43117 to 0.42961, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 161/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.3504 - accuracy: 0.8638 - val_loss: 0.4250 - val_accuracy: 0.8160\n",
            "\n",
            "Epoch 00161: val_loss improved from 0.42961 to 0.42505, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 162/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.3326 - accuracy: 0.8755 - val_loss: 0.4268 - val_accuracy: 0.8056\n",
            "\n",
            "Epoch 00162: val_loss did not improve from 0.42505\n",
            "Epoch 163/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.3316 - accuracy: 0.8696 - val_loss: 0.4251 - val_accuracy: 0.8073\n",
            "\n",
            "Epoch 00163: val_loss did not improve from 0.42505\n",
            "Epoch 164/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.3251 - accuracy: 0.8728 - val_loss: 0.4157 - val_accuracy: 0.8142\n",
            "\n",
            "Epoch 00164: val_loss improved from 0.42505 to 0.41566, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 165/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.3496 - accuracy: 0.8645 - val_loss: 0.4057 - val_accuracy: 0.8316\n",
            "\n",
            "Epoch 00165: val_loss improved from 0.41566 to 0.40574, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 166/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.3401 - accuracy: 0.8731 - val_loss: 0.3951 - val_accuracy: 0.8333\n",
            "\n",
            "Epoch 00166: val_loss improved from 0.40574 to 0.39505, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 167/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3171 - accuracy: 0.8752 - val_loss: 0.3905 - val_accuracy: 0.8316\n",
            "\n",
            "Epoch 00167: val_loss improved from 0.39505 to 0.39051, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 168/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.3066 - accuracy: 0.8817 - val_loss: 0.3992 - val_accuracy: 0.8316\n",
            "\n",
            "Epoch 00168: val_loss did not improve from 0.39051\n",
            "Epoch 169/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.3094 - accuracy: 0.8849 - val_loss: 0.4104 - val_accuracy: 0.8316\n",
            "\n",
            "Epoch 00169: val_loss did not improve from 0.39051\n",
            "Epoch 170/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.3179 - accuracy: 0.8734 - val_loss: 0.4217 - val_accuracy: 0.8316\n",
            "\n",
            "Epoch 00170: val_loss did not improve from 0.39051\n",
            "Epoch 171/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.3107 - accuracy: 0.8838 - val_loss: 0.4163 - val_accuracy: 0.8316\n",
            "\n",
            "Epoch 00171: val_loss did not improve from 0.39051\n",
            "Epoch 172/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.3104 - accuracy: 0.8779 - val_loss: 0.4020 - val_accuracy: 0.8385\n",
            "\n",
            "Epoch 00172: val_loss did not improve from 0.39051\n",
            "Epoch 173/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.3144 - accuracy: 0.8776 - val_loss: 0.3972 - val_accuracy: 0.8368\n",
            "\n",
            "Epoch 00173: val_loss did not improve from 0.39051\n",
            "Epoch 174/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.3165 - accuracy: 0.8855 - val_loss: 0.4036 - val_accuracy: 0.8420\n",
            "\n",
            "Epoch 00174: val_loss did not improve from 0.39051\n",
            "Epoch 175/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2960 - accuracy: 0.8835 - val_loss: 0.4133 - val_accuracy: 0.8299\n",
            "\n",
            "Epoch 00175: val_loss did not improve from 0.39051\n",
            "Epoch 176/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.2962 - accuracy: 0.8838 - val_loss: 0.4150 - val_accuracy: 0.8281\n",
            "\n",
            "Epoch 00176: val_loss did not improve from 0.39051\n",
            "Epoch 177/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.3042 - accuracy: 0.8776 - val_loss: 0.4038 - val_accuracy: 0.8333\n",
            "\n",
            "Epoch 00177: val_loss did not improve from 0.39051\n",
            "Epoch 178/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.2947 - accuracy: 0.8838 - val_loss: 0.3902 - val_accuracy: 0.8368\n",
            "\n",
            "Epoch 00178: val_loss improved from 0.39051 to 0.39023, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 179/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2975 - accuracy: 0.8845 - val_loss: 0.3849 - val_accuracy: 0.8420\n",
            "\n",
            "Epoch 00179: val_loss improved from 0.39023 to 0.38495, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 180/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2913 - accuracy: 0.8907 - val_loss: 0.3861 - val_accuracy: 0.8385\n",
            "\n",
            "Epoch 00180: val_loss did not improve from 0.38495\n",
            "Epoch 181/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2821 - accuracy: 0.8900 - val_loss: 0.3953 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00181: val_loss did not improve from 0.38495\n",
            "Epoch 182/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.2998 - accuracy: 0.8893 - val_loss: 0.3988 - val_accuracy: 0.8385\n",
            "\n",
            "Epoch 00182: val_loss did not improve from 0.38495\n",
            "Epoch 183/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2763 - accuracy: 0.8900 - val_loss: 0.3951 - val_accuracy: 0.8368\n",
            "\n",
            "Epoch 00183: val_loss did not improve from 0.38495\n",
            "Epoch 184/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.3021 - accuracy: 0.8838 - val_loss: 0.3847 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00184: val_loss improved from 0.38495 to 0.38474, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 185/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.2901 - accuracy: 0.8890 - val_loss: 0.3860 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00185: val_loss did not improve from 0.38474\n",
            "Epoch 186/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.2840 - accuracy: 0.8970 - val_loss: 0.3932 - val_accuracy: 0.8403\n",
            "\n",
            "Epoch 00186: val_loss did not improve from 0.38474\n",
            "Epoch 187/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2967 - accuracy: 0.8797 - val_loss: 0.4023 - val_accuracy: 0.8455\n",
            "\n",
            "Epoch 00187: val_loss did not improve from 0.38474\n",
            "Epoch 188/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2752 - accuracy: 0.8942 - val_loss: 0.4112 - val_accuracy: 0.8420\n",
            "\n",
            "Epoch 00188: val_loss did not improve from 0.38474\n",
            "Epoch 189/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2843 - accuracy: 0.8883 - val_loss: 0.4071 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00189: val_loss did not improve from 0.38474\n",
            "Epoch 190/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2823 - accuracy: 0.8904 - val_loss: 0.4068 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00190: val_loss did not improve from 0.38474\n",
            "Epoch 191/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.2840 - accuracy: 0.8976 - val_loss: 0.4001 - val_accuracy: 0.8385\n",
            "\n",
            "Epoch 00191: val_loss did not improve from 0.38474\n",
            "Epoch 192/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2839 - accuracy: 0.8890 - val_loss: 0.3974 - val_accuracy: 0.8403\n",
            "\n",
            "Epoch 00192: val_loss did not improve from 0.38474\n",
            "Epoch 193/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.2758 - accuracy: 0.8970 - val_loss: 0.3966 - val_accuracy: 0.8472\n",
            "\n",
            "Epoch 00193: val_loss did not improve from 0.38474\n",
            "Epoch 194/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2706 - accuracy: 0.8956 - val_loss: 0.3879 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00194: val_loss did not improve from 0.38474\n",
            "Epoch 195/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2682 - accuracy: 0.8935 - val_loss: 0.3779 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00195: val_loss improved from 0.38474 to 0.37794, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 196/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2590 - accuracy: 0.8959 - val_loss: 0.3700 - val_accuracy: 0.8455\n",
            "\n",
            "Epoch 00196: val_loss improved from 0.37794 to 0.37002, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 197/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.2790 - accuracy: 0.8911 - val_loss: 0.3712 - val_accuracy: 0.8420\n",
            "\n",
            "Epoch 00197: val_loss did not improve from 0.37002\n",
            "Epoch 198/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2678 - accuracy: 0.8980 - val_loss: 0.3834 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00198: val_loss did not improve from 0.37002\n",
            "Epoch 199/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.2524 - accuracy: 0.9077 - val_loss: 0.3955 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00199: val_loss did not improve from 0.37002\n",
            "Epoch 200/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2962 - accuracy: 0.8852 - val_loss: 0.3986 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00200: val_loss did not improve from 0.37002\n",
            "Epoch 201/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.2595 - accuracy: 0.9039 - val_loss: 0.4001 - val_accuracy: 0.8472\n",
            "\n",
            "Epoch 00201: val_loss did not improve from 0.37002\n",
            "Epoch 202/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2687 - accuracy: 0.8952 - val_loss: 0.4058 - val_accuracy: 0.8420\n",
            "\n",
            "Epoch 00202: val_loss did not improve from 0.37002\n",
            "Epoch 203/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.2604 - accuracy: 0.9018 - val_loss: 0.4040 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00203: val_loss did not improve from 0.37002\n",
            "Epoch 204/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2605 - accuracy: 0.9077 - val_loss: 0.4073 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00204: val_loss did not improve from 0.37002\n",
            "Epoch 205/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2593 - accuracy: 0.9021 - val_loss: 0.4068 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00205: val_loss did not improve from 0.37002\n",
            "Epoch 206/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2518 - accuracy: 0.9018 - val_loss: 0.3947 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00206: val_loss did not improve from 0.37002\n",
            "Epoch 207/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2391 - accuracy: 0.9108 - val_loss: 0.3936 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00207: val_loss did not improve from 0.37002\n",
            "Epoch 208/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2475 - accuracy: 0.9063 - val_loss: 0.3796 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00208: val_loss did not improve from 0.37002\n",
            "Epoch 209/800\n",
            "1/1 [==============================] - 0s 163ms/step - loss: 0.2485 - accuracy: 0.9091 - val_loss: 0.3857 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00209: val_loss did not improve from 0.37002\n",
            "Epoch 210/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2559 - accuracy: 0.9025 - val_loss: 0.3939 - val_accuracy: 0.8472\n",
            "\n",
            "Epoch 00210: val_loss did not improve from 0.37002\n",
            "Epoch 211/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2603 - accuracy: 0.9021 - val_loss: 0.3949 - val_accuracy: 0.8385\n",
            "\n",
            "Epoch 00211: val_loss did not improve from 0.37002\n",
            "Epoch 212/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2554 - accuracy: 0.9046 - val_loss: 0.3893 - val_accuracy: 0.8438\n",
            "\n",
            "Epoch 00212: val_loss did not improve from 0.37002\n",
            "Epoch 213/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2379 - accuracy: 0.9066 - val_loss: 0.3769 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00213: val_loss did not improve from 0.37002\n",
            "Epoch 214/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2375 - accuracy: 0.9115 - val_loss: 0.3765 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00214: val_loss did not improve from 0.37002\n",
            "Epoch 215/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2535 - accuracy: 0.9028 - val_loss: 0.3766 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00215: val_loss did not improve from 0.37002\n",
            "Epoch 216/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2656 - accuracy: 0.8980 - val_loss: 0.3749 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00216: val_loss did not improve from 0.37002\n",
            "Epoch 217/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2348 - accuracy: 0.9087 - val_loss: 0.3731 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00217: val_loss did not improve from 0.37002\n",
            "Epoch 218/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2605 - accuracy: 0.8994 - val_loss: 0.3651 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00218: val_loss improved from 0.37002 to 0.36509, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 219/800\n",
            "1/1 [==============================] - 0s 162ms/step - loss: 0.2551 - accuracy: 0.9018 - val_loss: 0.3654 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00219: val_loss did not improve from 0.36509\n",
            "Epoch 220/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2326 - accuracy: 0.9115 - val_loss: 0.3737 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00220: val_loss did not improve from 0.36509\n",
            "Epoch 221/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2347 - accuracy: 0.9084 - val_loss: 0.3941 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00221: val_loss did not improve from 0.36509\n",
            "Epoch 222/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2603 - accuracy: 0.9021 - val_loss: 0.4191 - val_accuracy: 0.8472\n",
            "\n",
            "Epoch 00222: val_loss did not improve from 0.36509\n",
            "Epoch 223/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2405 - accuracy: 0.9053 - val_loss: 0.4035 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00223: val_loss did not improve from 0.36509\n",
            "Epoch 224/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2347 - accuracy: 0.9163 - val_loss: 0.3941 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00224: val_loss did not improve from 0.36509\n",
            "Epoch 225/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.2350 - accuracy: 0.9108 - val_loss: 0.3951 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00225: val_loss did not improve from 0.36509\n",
            "Epoch 226/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2413 - accuracy: 0.9111 - val_loss: 0.4030 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00226: val_loss did not improve from 0.36509\n",
            "Epoch 227/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.2278 - accuracy: 0.9056 - val_loss: 0.4098 - val_accuracy: 0.8472\n",
            "\n",
            "Epoch 00227: val_loss did not improve from 0.36509\n",
            "Epoch 228/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2366 - accuracy: 0.9129 - val_loss: 0.4073 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00228: val_loss did not improve from 0.36509\n",
            "Epoch 229/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.2282 - accuracy: 0.9163 - val_loss: 0.3997 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00229: val_loss did not improve from 0.36509\n",
            "Epoch 230/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2216 - accuracy: 0.9184 - val_loss: 0.3945 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00230: val_loss did not improve from 0.36509\n",
            "Epoch 231/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.2267 - accuracy: 0.9132 - val_loss: 0.3906 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00231: val_loss did not improve from 0.36509\n",
            "Epoch 232/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2253 - accuracy: 0.9122 - val_loss: 0.3854 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00232: val_loss did not improve from 0.36509\n",
            "Epoch 233/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.2357 - accuracy: 0.9111 - val_loss: 0.3881 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00233: val_loss did not improve from 0.36509\n",
            "Epoch 234/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2275 - accuracy: 0.9146 - val_loss: 0.3881 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00234: val_loss did not improve from 0.36509\n",
            "Epoch 235/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2266 - accuracy: 0.9167 - val_loss: 0.3889 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00235: val_loss did not improve from 0.36509\n",
            "Epoch 236/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2287 - accuracy: 0.9101 - val_loss: 0.3797 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00236: val_loss did not improve from 0.36509\n",
            "Epoch 237/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2216 - accuracy: 0.9170 - val_loss: 0.3610 - val_accuracy: 0.8507\n",
            "\n",
            "Epoch 00237: val_loss improved from 0.36509 to 0.36100, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 238/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2200 - accuracy: 0.9118 - val_loss: 0.3454 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00238: val_loss improved from 0.36100 to 0.34536, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 239/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2175 - accuracy: 0.9163 - val_loss: 0.3403 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00239: val_loss improved from 0.34536 to 0.34032, saving model to results/AHNS-c-LSTM-layers-2-2-units-128-128-dropout-0.5_0.5_0.5_0.5.h5\n",
            "Epoch 240/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2262 - accuracy: 0.9149 - val_loss: 0.3493 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00240: val_loss did not improve from 0.34032\n",
            "Epoch 241/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2149 - accuracy: 0.9174 - val_loss: 0.3592 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00241: val_loss did not improve from 0.34032\n",
            "Epoch 242/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2255 - accuracy: 0.9160 - val_loss: 0.3744 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00242: val_loss did not improve from 0.34032\n",
            "Epoch 243/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2213 - accuracy: 0.9142 - val_loss: 0.3871 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00243: val_loss did not improve from 0.34032\n",
            "Epoch 244/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2109 - accuracy: 0.9156 - val_loss: 0.3902 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00244: val_loss did not improve from 0.34032\n",
            "Epoch 245/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2335 - accuracy: 0.9122 - val_loss: 0.3800 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00245: val_loss did not improve from 0.34032\n",
            "Epoch 246/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2095 - accuracy: 0.9163 - val_loss: 0.3736 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00246: val_loss did not improve from 0.34032\n",
            "Epoch 247/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2188 - accuracy: 0.9156 - val_loss: 0.3686 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00247: val_loss did not improve from 0.34032\n",
            "Epoch 248/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.2070 - accuracy: 0.9191 - val_loss: 0.3735 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00248: val_loss did not improve from 0.34032\n",
            "Epoch 249/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.2024 - accuracy: 0.9250 - val_loss: 0.3821 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00249: val_loss did not improve from 0.34032\n",
            "Epoch 250/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.2165 - accuracy: 0.9184 - val_loss: 0.3838 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00250: val_loss did not improve from 0.34032\n",
            "Epoch 251/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.2051 - accuracy: 0.9239 - val_loss: 0.3817 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00251: val_loss did not improve from 0.34032\n",
            "Epoch 252/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2146 - accuracy: 0.9170 - val_loss: 0.3772 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00252: val_loss did not improve from 0.34032\n",
            "Epoch 253/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.2042 - accuracy: 0.9191 - val_loss: 0.3822 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00253: val_loss did not improve from 0.34032\n",
            "Epoch 254/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2038 - accuracy: 0.9270 - val_loss: 0.3932 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00254: val_loss did not improve from 0.34032\n",
            "Epoch 255/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2096 - accuracy: 0.9174 - val_loss: 0.4028 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00255: val_loss did not improve from 0.34032\n",
            "Epoch 256/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1868 - accuracy: 0.9302 - val_loss: 0.3996 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00256: val_loss did not improve from 0.34032\n",
            "Epoch 257/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.2095 - accuracy: 0.9219 - val_loss: 0.3869 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00257: val_loss did not improve from 0.34032\n",
            "Epoch 258/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.2076 - accuracy: 0.9194 - val_loss: 0.3792 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00258: val_loss did not improve from 0.34032\n",
            "Epoch 259/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1964 - accuracy: 0.9232 - val_loss: 0.3675 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00259: val_loss did not improve from 0.34032\n",
            "Epoch 260/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.2153 - accuracy: 0.9149 - val_loss: 0.3561 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00260: val_loss did not improve from 0.34032\n",
            "Epoch 261/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1973 - accuracy: 0.9232 - val_loss: 0.3622 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00261: val_loss did not improve from 0.34032\n",
            "Epoch 262/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2131 - accuracy: 0.9222 - val_loss: 0.3758 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00262: val_loss did not improve from 0.34032\n",
            "Epoch 263/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2146 - accuracy: 0.9222 - val_loss: 0.3959 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00263: val_loss did not improve from 0.34032\n",
            "Epoch 264/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2000 - accuracy: 0.9257 - val_loss: 0.3891 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00264: val_loss did not improve from 0.34032\n",
            "Epoch 265/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1914 - accuracy: 0.9319 - val_loss: 0.3770 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00265: val_loss did not improve from 0.34032\n",
            "Epoch 266/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1926 - accuracy: 0.9267 - val_loss: 0.3749 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00266: val_loss did not improve from 0.34032\n",
            "Epoch 267/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.2007 - accuracy: 0.9270 - val_loss: 0.3736 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00267: val_loss did not improve from 0.34032\n",
            "Epoch 268/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1924 - accuracy: 0.9232 - val_loss: 0.3833 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00268: val_loss did not improve from 0.34032\n",
            "Epoch 269/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1955 - accuracy: 0.9253 - val_loss: 0.3937 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00269: val_loss did not improve from 0.34032\n",
            "Epoch 270/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.2043 - accuracy: 0.9225 - val_loss: 0.3979 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00270: val_loss did not improve from 0.34032\n",
            "Epoch 271/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1993 - accuracy: 0.9260 - val_loss: 0.3867 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00271: val_loss did not improve from 0.34032\n",
            "Epoch 272/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1902 - accuracy: 0.9322 - val_loss: 0.3777 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00272: val_loss did not improve from 0.34032\n",
            "Epoch 273/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1874 - accuracy: 0.9267 - val_loss: 0.3779 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00273: val_loss did not improve from 0.34032\n",
            "Epoch 274/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.2061 - accuracy: 0.9170 - val_loss: 0.3965 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00274: val_loss did not improve from 0.34032\n",
            "Epoch 275/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1736 - accuracy: 0.9329 - val_loss: 0.4258 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00275: val_loss did not improve from 0.34032\n",
            "Epoch 276/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1755 - accuracy: 0.9346 - val_loss: 0.4260 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00276: val_loss did not improve from 0.34032\n",
            "Epoch 277/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.2015 - accuracy: 0.9222 - val_loss: 0.4019 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00277: val_loss did not improve from 0.34032\n",
            "Epoch 278/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1795 - accuracy: 0.9319 - val_loss: 0.3890 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00278: val_loss did not improve from 0.34032\n",
            "Epoch 279/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1748 - accuracy: 0.9336 - val_loss: 0.3939 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00279: val_loss did not improve from 0.34032\n",
            "Epoch 280/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1897 - accuracy: 0.9291 - val_loss: 0.3954 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00280: val_loss did not improve from 0.34032\n",
            "Epoch 281/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1770 - accuracy: 0.9340 - val_loss: 0.3941 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00281: val_loss did not improve from 0.34032\n",
            "Epoch 282/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1823 - accuracy: 0.9308 - val_loss: 0.3925 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00282: val_loss did not improve from 0.34032\n",
            "Epoch 283/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1744 - accuracy: 0.9336 - val_loss: 0.3883 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00283: val_loss did not improve from 0.34032\n",
            "Epoch 284/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1830 - accuracy: 0.9343 - val_loss: 0.3899 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00284: val_loss did not improve from 0.34032\n",
            "Epoch 285/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1772 - accuracy: 0.9329 - val_loss: 0.3960 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00285: val_loss did not improve from 0.34032\n",
            "Epoch 286/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1876 - accuracy: 0.9263 - val_loss: 0.4079 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00286: val_loss did not improve from 0.34032\n",
            "Epoch 287/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1845 - accuracy: 0.9315 - val_loss: 0.4143 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00287: val_loss did not improve from 0.34032\n",
            "Epoch 288/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1729 - accuracy: 0.9333 - val_loss: 0.4147 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00288: val_loss did not improve from 0.34032\n",
            "Epoch 289/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1727 - accuracy: 0.9333 - val_loss: 0.4164 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00289: val_loss did not improve from 0.34032\n",
            "Epoch 290/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1835 - accuracy: 0.9291 - val_loss: 0.4183 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00290: val_loss did not improve from 0.34032\n",
            "Epoch 291/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1791 - accuracy: 0.9340 - val_loss: 0.4128 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00291: val_loss did not improve from 0.34032\n",
            "Epoch 292/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1695 - accuracy: 0.9398 - val_loss: 0.3983 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00292: val_loss did not improve from 0.34032\n",
            "Epoch 293/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1900 - accuracy: 0.9312 - val_loss: 0.3943 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00293: val_loss did not improve from 0.34032\n",
            "Epoch 294/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1693 - accuracy: 0.9367 - val_loss: 0.3987 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00294: val_loss did not improve from 0.34032\n",
            "Epoch 295/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1770 - accuracy: 0.9367 - val_loss: 0.4041 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00295: val_loss did not improve from 0.34032\n",
            "Epoch 296/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1543 - accuracy: 0.9423 - val_loss: 0.4183 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00296: val_loss did not improve from 0.34032\n",
            "Epoch 297/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1651 - accuracy: 0.9385 - val_loss: 0.4252 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00297: val_loss did not improve from 0.34032\n",
            "Epoch 298/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.1766 - accuracy: 0.9322 - val_loss: 0.4191 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00298: val_loss did not improve from 0.34032\n",
            "Epoch 299/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1886 - accuracy: 0.9302 - val_loss: 0.4093 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00299: val_loss did not improve from 0.34032\n",
            "Epoch 300/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1639 - accuracy: 0.9364 - val_loss: 0.4048 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00300: val_loss did not improve from 0.34032\n",
            "Epoch 301/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1703 - accuracy: 0.9329 - val_loss: 0.3950 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00301: val_loss did not improve from 0.34032\n",
            "Epoch 302/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1657 - accuracy: 0.9350 - val_loss: 0.3934 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00302: val_loss did not improve from 0.34032\n",
            "Epoch 303/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1779 - accuracy: 0.9326 - val_loss: 0.3989 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00303: val_loss did not improve from 0.34032\n",
            "Epoch 304/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1704 - accuracy: 0.9385 - val_loss: 0.4165 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00304: val_loss did not improve from 0.34032\n",
            "Epoch 305/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1640 - accuracy: 0.9443 - val_loss: 0.4296 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00305: val_loss did not improve from 0.34032\n",
            "Epoch 306/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1684 - accuracy: 0.9385 - val_loss: 0.4260 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00306: val_loss did not improve from 0.34032\n",
            "Epoch 307/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1671 - accuracy: 0.9322 - val_loss: 0.4210 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00307: val_loss did not improve from 0.34032\n",
            "Epoch 308/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1645 - accuracy: 0.9343 - val_loss: 0.4192 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00308: val_loss did not improve from 0.34032\n",
            "Epoch 309/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1698 - accuracy: 0.9346 - val_loss: 0.4132 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00309: val_loss did not improve from 0.34032\n",
            "Epoch 310/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1627 - accuracy: 0.9398 - val_loss: 0.4129 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00310: val_loss did not improve from 0.34032\n",
            "Epoch 311/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1721 - accuracy: 0.9357 - val_loss: 0.4239 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00311: val_loss did not improve from 0.34032\n",
            "Epoch 312/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1702 - accuracy: 0.9378 - val_loss: 0.4352 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00312: val_loss did not improve from 0.34032\n",
            "Epoch 313/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1623 - accuracy: 0.9353 - val_loss: 0.4166 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00313: val_loss did not improve from 0.34032\n",
            "Epoch 314/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1500 - accuracy: 0.9478 - val_loss: 0.3998 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00314: val_loss did not improve from 0.34032\n",
            "Epoch 315/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1664 - accuracy: 0.9367 - val_loss: 0.3923 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00315: val_loss did not improve from 0.34032\n",
            "Epoch 316/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1533 - accuracy: 0.9450 - val_loss: 0.3985 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00316: val_loss did not improve from 0.34032\n",
            "Epoch 317/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1462 - accuracy: 0.9467 - val_loss: 0.4085 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00317: val_loss did not improve from 0.34032\n",
            "Epoch 318/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.1551 - accuracy: 0.9402 - val_loss: 0.4159 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00318: val_loss did not improve from 0.34032\n",
            "Epoch 319/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1700 - accuracy: 0.9329 - val_loss: 0.4086 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00319: val_loss did not improve from 0.34032\n",
            "Epoch 320/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1611 - accuracy: 0.9440 - val_loss: 0.4030 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00320: val_loss did not improve from 0.34032\n",
            "Epoch 321/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1703 - accuracy: 0.9395 - val_loss: 0.4038 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00321: val_loss did not improve from 0.34032\n",
            "Epoch 322/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1632 - accuracy: 0.9346 - val_loss: 0.4187 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00322: val_loss did not improve from 0.34032\n",
            "Epoch 323/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1581 - accuracy: 0.9398 - val_loss: 0.4414 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00323: val_loss did not improve from 0.34032\n",
            "Epoch 324/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.1685 - accuracy: 0.9343 - val_loss: 0.4407 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00324: val_loss did not improve from 0.34032\n",
            "Epoch 325/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1578 - accuracy: 0.9454 - val_loss: 0.4188 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00325: val_loss did not improve from 0.34032\n",
            "Epoch 326/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1570 - accuracy: 0.9471 - val_loss: 0.4118 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00326: val_loss did not improve from 0.34032\n",
            "Epoch 327/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1528 - accuracy: 0.9405 - val_loss: 0.4178 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00327: val_loss did not improve from 0.34032\n",
            "Epoch 328/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1472 - accuracy: 0.9454 - val_loss: 0.4349 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00328: val_loss did not improve from 0.34032\n",
            "Epoch 329/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.1541 - accuracy: 0.9388 - val_loss: 0.4609 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00329: val_loss did not improve from 0.34032\n",
            "Epoch 330/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1609 - accuracy: 0.9398 - val_loss: 0.4589 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00330: val_loss did not improve from 0.34032\n",
            "Epoch 331/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1516 - accuracy: 0.9450 - val_loss: 0.4390 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00331: val_loss did not improve from 0.34032\n",
            "Epoch 332/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1608 - accuracy: 0.9412 - val_loss: 0.4198 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00332: val_loss did not improve from 0.34032\n",
            "Epoch 333/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1409 - accuracy: 0.9478 - val_loss: 0.4224 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00333: val_loss did not improve from 0.34032\n",
            "Epoch 334/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1484 - accuracy: 0.9381 - val_loss: 0.4199 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00334: val_loss did not improve from 0.34032\n",
            "Epoch 335/800\n",
            "1/1 [==============================] - 0s 164ms/step - loss: 0.1588 - accuracy: 0.9398 - val_loss: 0.4241 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00335: val_loss did not improve from 0.34032\n",
            "Epoch 336/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1561 - accuracy: 0.9426 - val_loss: 0.4453 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00336: val_loss did not improve from 0.34032\n",
            "Epoch 337/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1688 - accuracy: 0.9357 - val_loss: 0.4312 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00337: val_loss did not improve from 0.34032\n",
            "Epoch 338/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1546 - accuracy: 0.9412 - val_loss: 0.4232 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00338: val_loss did not improve from 0.34032\n",
            "Epoch 339/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1470 - accuracy: 0.9429 - val_loss: 0.4287 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00339: val_loss did not improve from 0.34032\n",
            "Epoch 340/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1586 - accuracy: 0.9402 - val_loss: 0.4157 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00340: val_loss did not improve from 0.34032\n",
            "Epoch 341/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1372 - accuracy: 0.9492 - val_loss: 0.4093 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00341: val_loss did not improve from 0.34032\n",
            "Epoch 342/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1514 - accuracy: 0.9429 - val_loss: 0.4152 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00342: val_loss did not improve from 0.34032\n",
            "Epoch 343/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1460 - accuracy: 0.9464 - val_loss: 0.4287 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00343: val_loss did not improve from 0.34032\n",
            "Epoch 344/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1381 - accuracy: 0.9471 - val_loss: 0.4488 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00344: val_loss did not improve from 0.34032\n",
            "Epoch 345/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.1561 - accuracy: 0.9443 - val_loss: 0.4621 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00345: val_loss did not improve from 0.34032\n",
            "Epoch 346/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1444 - accuracy: 0.9495 - val_loss: 0.4535 - val_accuracy: 0.8472\n",
            "\n",
            "Epoch 00346: val_loss did not improve from 0.34032\n",
            "Epoch 347/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1449 - accuracy: 0.9471 - val_loss: 0.4344 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00347: val_loss did not improve from 0.34032\n",
            "Epoch 348/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1495 - accuracy: 0.9433 - val_loss: 0.4215 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00348: val_loss did not improve from 0.34032\n",
            "Epoch 349/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1511 - accuracy: 0.9488 - val_loss: 0.4240 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00349: val_loss did not improve from 0.34032\n",
            "Epoch 350/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.1404 - accuracy: 0.9471 - val_loss: 0.4315 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00350: val_loss did not improve from 0.34032\n",
            "Epoch 351/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1579 - accuracy: 0.9398 - val_loss: 0.4213 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00351: val_loss did not improve from 0.34032\n",
            "Epoch 352/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1422 - accuracy: 0.9474 - val_loss: 0.4062 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00352: val_loss did not improve from 0.34032\n",
            "Epoch 353/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1315 - accuracy: 0.9485 - val_loss: 0.4030 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00353: val_loss did not improve from 0.34032\n",
            "Epoch 354/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1572 - accuracy: 0.9429 - val_loss: 0.4039 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00354: val_loss did not improve from 0.34032\n",
            "Epoch 355/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1395 - accuracy: 0.9457 - val_loss: 0.4215 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00355: val_loss did not improve from 0.34032\n",
            "Epoch 356/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1408 - accuracy: 0.9471 - val_loss: 0.4313 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00356: val_loss did not improve from 0.34032\n",
            "Epoch 357/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1427 - accuracy: 0.9450 - val_loss: 0.4293 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00357: val_loss did not improve from 0.34032\n",
            "Epoch 358/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1385 - accuracy: 0.9485 - val_loss: 0.4355 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00358: val_loss did not improve from 0.34032\n",
            "Epoch 359/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1505 - accuracy: 0.9391 - val_loss: 0.4430 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00359: val_loss did not improve from 0.34032\n",
            "Epoch 360/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1313 - accuracy: 0.9537 - val_loss: 0.4504 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00360: val_loss did not improve from 0.34032\n",
            "Epoch 361/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1343 - accuracy: 0.9506 - val_loss: 0.4523 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00361: val_loss did not improve from 0.34032\n",
            "Epoch 362/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1319 - accuracy: 0.9481 - val_loss: 0.4486 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00362: val_loss did not improve from 0.34032\n",
            "Epoch 363/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1414 - accuracy: 0.9481 - val_loss: 0.4201 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00363: val_loss did not improve from 0.34032\n",
            "Epoch 364/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.1518 - accuracy: 0.9367 - val_loss: 0.4069 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00364: val_loss did not improve from 0.34032\n",
            "Epoch 365/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.1660 - accuracy: 0.9364 - val_loss: 0.4227 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00365: val_loss did not improve from 0.34032\n",
            "Epoch 366/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1204 - accuracy: 0.9575 - val_loss: 0.4517 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00366: val_loss did not improve from 0.34032\n",
            "Epoch 367/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1238 - accuracy: 0.9575 - val_loss: 0.4764 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00367: val_loss did not improve from 0.34032\n",
            "Epoch 368/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1471 - accuracy: 0.9464 - val_loss: 0.4636 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00368: val_loss did not improve from 0.34032\n",
            "Epoch 369/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1329 - accuracy: 0.9485 - val_loss: 0.4467 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00369: val_loss did not improve from 0.34032\n",
            "Epoch 370/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1389 - accuracy: 0.9467 - val_loss: 0.4370 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00370: val_loss did not improve from 0.34032\n",
            "Epoch 371/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1338 - accuracy: 0.9554 - val_loss: 0.4396 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00371: val_loss did not improve from 0.34032\n",
            "Epoch 372/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1249 - accuracy: 0.9561 - val_loss: 0.4509 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00372: val_loss did not improve from 0.34032\n",
            "Epoch 373/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1521 - accuracy: 0.9461 - val_loss: 0.4595 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00373: val_loss did not improve from 0.34032\n",
            "Epoch 374/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1237 - accuracy: 0.9512 - val_loss: 0.4672 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00374: val_loss did not improve from 0.34032\n",
            "Epoch 375/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1375 - accuracy: 0.9492 - val_loss: 0.4705 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00375: val_loss did not improve from 0.34032\n",
            "Epoch 376/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1273 - accuracy: 0.9568 - val_loss: 0.4727 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00376: val_loss did not improve from 0.34032\n",
            "Epoch 377/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1347 - accuracy: 0.9481 - val_loss: 0.4614 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00377: val_loss did not improve from 0.34032\n",
            "Epoch 378/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1361 - accuracy: 0.9526 - val_loss: 0.4496 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00378: val_loss did not improve from 0.34032\n",
            "Epoch 379/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1424 - accuracy: 0.9509 - val_loss: 0.4500 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00379: val_loss did not improve from 0.34032\n",
            "Epoch 380/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1242 - accuracy: 0.9530 - val_loss: 0.4600 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00380: val_loss did not improve from 0.34032\n",
            "Epoch 381/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1287 - accuracy: 0.9481 - val_loss: 0.4450 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00381: val_loss did not improve from 0.34032\n",
            "Epoch 382/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1255 - accuracy: 0.9516 - val_loss: 0.4256 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00382: val_loss did not improve from 0.34032\n",
            "Epoch 383/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1219 - accuracy: 0.9554 - val_loss: 0.4092 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00383: val_loss did not improve from 0.34032\n",
            "Epoch 384/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1313 - accuracy: 0.9488 - val_loss: 0.4122 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00384: val_loss did not improve from 0.34032\n",
            "Epoch 385/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1287 - accuracy: 0.9512 - val_loss: 0.4292 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00385: val_loss did not improve from 0.34032\n",
            "Epoch 386/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1253 - accuracy: 0.9506 - val_loss: 0.4368 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00386: val_loss did not improve from 0.34032\n",
            "Epoch 387/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.1404 - accuracy: 0.9488 - val_loss: 0.4344 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00387: val_loss did not improve from 0.34032\n",
            "Epoch 388/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1255 - accuracy: 0.9512 - val_loss: 0.4357 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00388: val_loss did not improve from 0.34032\n",
            "Epoch 389/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1292 - accuracy: 0.9516 - val_loss: 0.4410 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00389: val_loss did not improve from 0.34032\n",
            "Epoch 390/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1277 - accuracy: 0.9502 - val_loss: 0.4414 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00390: val_loss did not improve from 0.34032\n",
            "Epoch 391/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1353 - accuracy: 0.9467 - val_loss: 0.4492 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00391: val_loss did not improve from 0.34032\n",
            "Epoch 392/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1277 - accuracy: 0.9485 - val_loss: 0.4442 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00392: val_loss did not improve from 0.34032\n",
            "Epoch 393/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1269 - accuracy: 0.9516 - val_loss: 0.4388 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00393: val_loss did not improve from 0.34032\n",
            "Epoch 394/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1296 - accuracy: 0.9481 - val_loss: 0.4406 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00394: val_loss did not improve from 0.34032\n",
            "Epoch 395/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1283 - accuracy: 0.9509 - val_loss: 0.4509 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00395: val_loss did not improve from 0.34032\n",
            "Epoch 396/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1318 - accuracy: 0.9533 - val_loss: 0.4543 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00396: val_loss did not improve from 0.34032\n",
            "Epoch 397/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1233 - accuracy: 0.9533 - val_loss: 0.4495 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00397: val_loss did not improve from 0.34032\n",
            "Epoch 398/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1273 - accuracy: 0.9533 - val_loss: 0.4457 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00398: val_loss did not improve from 0.34032\n",
            "Epoch 399/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1196 - accuracy: 0.9561 - val_loss: 0.4468 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00399: val_loss did not improve from 0.34032\n",
            "Epoch 400/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.1153 - accuracy: 0.9564 - val_loss: 0.4514 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00400: val_loss did not improve from 0.34032\n",
            "Epoch 401/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1307 - accuracy: 0.9550 - val_loss: 0.4509 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00401: val_loss did not improve from 0.34032\n",
            "Epoch 402/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1298 - accuracy: 0.9547 - val_loss: 0.4451 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00402: val_loss did not improve from 0.34032\n",
            "Epoch 403/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.1256 - accuracy: 0.9557 - val_loss: 0.4394 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00403: val_loss did not improve from 0.34032\n",
            "Epoch 404/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1348 - accuracy: 0.9509 - val_loss: 0.4343 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00404: val_loss did not improve from 0.34032\n",
            "Epoch 405/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.1303 - accuracy: 0.9512 - val_loss: 0.4392 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00405: val_loss did not improve from 0.34032\n",
            "Epoch 406/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.1296 - accuracy: 0.9519 - val_loss: 0.4372 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00406: val_loss did not improve from 0.34032\n",
            "Epoch 407/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1247 - accuracy: 0.9519 - val_loss: 0.4336 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00407: val_loss did not improve from 0.34032\n",
            "Epoch 408/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.1171 - accuracy: 0.9571 - val_loss: 0.4417 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00408: val_loss did not improve from 0.34032\n",
            "Epoch 409/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.1179 - accuracy: 0.9537 - val_loss: 0.4483 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00409: val_loss did not improve from 0.34032\n",
            "Epoch 410/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1182 - accuracy: 0.9557 - val_loss: 0.4427 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00410: val_loss did not improve from 0.34032\n",
            "Epoch 411/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1272 - accuracy: 0.9502 - val_loss: 0.4415 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00411: val_loss did not improve from 0.34032\n",
            "Epoch 412/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1251 - accuracy: 0.9526 - val_loss: 0.4431 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00412: val_loss did not improve from 0.34032\n",
            "Epoch 413/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1287 - accuracy: 0.9571 - val_loss: 0.4428 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00413: val_loss did not improve from 0.34032\n",
            "Epoch 414/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1050 - accuracy: 0.9592 - val_loss: 0.4318 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00414: val_loss did not improve from 0.34032\n",
            "Epoch 415/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.1186 - accuracy: 0.9589 - val_loss: 0.4264 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00415: val_loss did not improve from 0.34032\n",
            "Epoch 416/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1307 - accuracy: 0.9526 - val_loss: 0.4317 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00416: val_loss did not improve from 0.34032\n",
            "Epoch 417/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.1118 - accuracy: 0.9589 - val_loss: 0.4445 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00417: val_loss did not improve from 0.34032\n",
            "Epoch 418/800\n",
            "1/1 [==============================] - 0s 166ms/step - loss: 0.1196 - accuracy: 0.9516 - val_loss: 0.4541 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00418: val_loss did not improve from 0.34032\n",
            "Epoch 419/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.1057 - accuracy: 0.9654 - val_loss: 0.4583 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00419: val_loss did not improve from 0.34032\n",
            "Epoch 420/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.1178 - accuracy: 0.9509 - val_loss: 0.4485 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00420: val_loss did not improve from 0.34032\n",
            "Epoch 421/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.1230 - accuracy: 0.9506 - val_loss: 0.4472 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00421: val_loss did not improve from 0.34032\n",
            "Epoch 422/800\n",
            "1/1 [==============================] - 0s 195ms/step - loss: 0.1096 - accuracy: 0.9592 - val_loss: 0.4537 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00422: val_loss did not improve from 0.34032\n",
            "Epoch 423/800\n",
            "1/1 [==============================] - 0s 165ms/step - loss: 0.1241 - accuracy: 0.9547 - val_loss: 0.4461 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00423: val_loss did not improve from 0.34032\n",
            "Epoch 424/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1047 - accuracy: 0.9599 - val_loss: 0.4406 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00424: val_loss did not improve from 0.34032\n",
            "Epoch 425/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1153 - accuracy: 0.9544 - val_loss: 0.4226 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00425: val_loss did not improve from 0.34032\n",
            "Epoch 426/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1286 - accuracy: 0.9530 - val_loss: 0.4084 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00426: val_loss did not improve from 0.34032\n",
            "Epoch 427/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.1116 - accuracy: 0.9585 - val_loss: 0.4106 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00427: val_loss did not improve from 0.34032\n",
            "Epoch 428/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1187 - accuracy: 0.9533 - val_loss: 0.4226 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00428: val_loss did not improve from 0.34032\n",
            "Epoch 429/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1169 - accuracy: 0.9582 - val_loss: 0.4391 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00429: val_loss did not improve from 0.34032\n",
            "Epoch 430/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1024 - accuracy: 0.9613 - val_loss: 0.4553 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00430: val_loss did not improve from 0.34032\n",
            "Epoch 431/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1163 - accuracy: 0.9540 - val_loss: 0.4723 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00431: val_loss did not improve from 0.34032\n",
            "Epoch 432/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1013 - accuracy: 0.9599 - val_loss: 0.4714 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00432: val_loss did not improve from 0.34032\n",
            "Epoch 433/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1134 - accuracy: 0.9602 - val_loss: 0.4663 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00433: val_loss did not improve from 0.34032\n",
            "Epoch 434/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1163 - accuracy: 0.9544 - val_loss: 0.4805 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00434: val_loss did not improve from 0.34032\n",
            "Epoch 435/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1106 - accuracy: 0.9571 - val_loss: 0.4960 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00435: val_loss did not improve from 0.34032\n",
            "Epoch 436/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1124 - accuracy: 0.9585 - val_loss: 0.5017 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00436: val_loss did not improve from 0.34032\n",
            "Epoch 437/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1068 - accuracy: 0.9557 - val_loss: 0.5010 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00437: val_loss did not improve from 0.34032\n",
            "Epoch 438/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.1190 - accuracy: 0.9582 - val_loss: 0.4856 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00438: val_loss did not improve from 0.34032\n",
            "Epoch 439/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.1154 - accuracy: 0.9561 - val_loss: 0.4627 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00439: val_loss did not improve from 0.34032\n",
            "Epoch 440/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.1145 - accuracy: 0.9595 - val_loss: 0.4524 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00440: val_loss did not improve from 0.34032\n",
            "Epoch 441/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.1090 - accuracy: 0.9595 - val_loss: 0.4459 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00441: val_loss did not improve from 0.34032\n",
            "Epoch 442/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1017 - accuracy: 0.9633 - val_loss: 0.4576 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00442: val_loss did not improve from 0.34032\n",
            "Epoch 443/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1054 - accuracy: 0.9623 - val_loss: 0.4876 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00443: val_loss did not improve from 0.34032\n",
            "Epoch 444/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1102 - accuracy: 0.9575 - val_loss: 0.5054 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00444: val_loss did not improve from 0.34032\n",
            "Epoch 445/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.1124 - accuracy: 0.9595 - val_loss: 0.4792 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00445: val_loss did not improve from 0.34032\n",
            "Epoch 446/800\n",
            "1/1 [==============================] - 0s 168ms/step - loss: 0.0977 - accuracy: 0.9637 - val_loss: 0.4669 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00446: val_loss did not improve from 0.34032\n",
            "Epoch 447/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.1145 - accuracy: 0.9595 - val_loss: 0.4569 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00447: val_loss did not improve from 0.34032\n",
            "Epoch 448/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1146 - accuracy: 0.9582 - val_loss: 0.4624 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00448: val_loss did not improve from 0.34032\n",
            "Epoch 449/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.1017 - accuracy: 0.9644 - val_loss: 0.4729 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00449: val_loss did not improve from 0.34032\n",
            "Epoch 450/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.1246 - accuracy: 0.9526 - val_loss: 0.4672 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00450: val_loss did not improve from 0.34032\n",
            "Epoch 451/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1163 - accuracy: 0.9568 - val_loss: 0.4420 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00451: val_loss did not improve from 0.34032\n",
            "Epoch 452/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0984 - accuracy: 0.9654 - val_loss: 0.4399 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00452: val_loss did not improve from 0.34032\n",
            "Epoch 453/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1033 - accuracy: 0.9637 - val_loss: 0.4488 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00453: val_loss did not improve from 0.34032\n",
            "Epoch 454/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1108 - accuracy: 0.9550 - val_loss: 0.4698 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00454: val_loss did not improve from 0.34032\n",
            "Epoch 455/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.1121 - accuracy: 0.9575 - val_loss: 0.4866 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00455: val_loss did not improve from 0.34032\n",
            "Epoch 456/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1037 - accuracy: 0.9609 - val_loss: 0.4801 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00456: val_loss did not improve from 0.34032\n",
            "Epoch 457/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.1162 - accuracy: 0.9595 - val_loss: 0.4431 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00457: val_loss did not improve from 0.34032\n",
            "Epoch 458/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0948 - accuracy: 0.9651 - val_loss: 0.4299 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00458: val_loss did not improve from 0.34032\n",
            "Epoch 459/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1138 - accuracy: 0.9602 - val_loss: 0.4280 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00459: val_loss did not improve from 0.34032\n",
            "Epoch 460/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1053 - accuracy: 0.9602 - val_loss: 0.4427 - val_accuracy: 0.8802\n",
            "\n",
            "Epoch 00460: val_loss did not improve from 0.34032\n",
            "Epoch 461/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.1046 - accuracy: 0.9595 - val_loss: 0.4618 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00461: val_loss did not improve from 0.34032\n",
            "Epoch 462/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0882 - accuracy: 0.9654 - val_loss: 0.4676 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00462: val_loss did not improve from 0.34032\n",
            "Epoch 463/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.1123 - accuracy: 0.9616 - val_loss: 0.4599 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00463: val_loss did not improve from 0.34032\n",
            "Epoch 464/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.1009 - accuracy: 0.9640 - val_loss: 0.4500 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00464: val_loss did not improve from 0.34032\n",
            "Epoch 465/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.1076 - accuracy: 0.9602 - val_loss: 0.4636 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00465: val_loss did not improve from 0.34032\n",
            "Epoch 466/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1024 - accuracy: 0.9620 - val_loss: 0.4846 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00466: val_loss did not improve from 0.34032\n",
            "Epoch 467/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.0944 - accuracy: 0.9651 - val_loss: 0.4799 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00467: val_loss did not improve from 0.34032\n",
            "Epoch 468/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.0958 - accuracy: 0.9654 - val_loss: 0.4591 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00468: val_loss did not improve from 0.34032\n",
            "Epoch 469/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0971 - accuracy: 0.9644 - val_loss: 0.4349 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00469: val_loss did not improve from 0.34032\n",
            "Epoch 470/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.1019 - accuracy: 0.9644 - val_loss: 0.4133 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00470: val_loss did not improve from 0.34032\n",
            "Epoch 471/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.1075 - accuracy: 0.9606 - val_loss: 0.4149 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00471: val_loss did not improve from 0.34032\n",
            "Epoch 472/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1075 - accuracy: 0.9609 - val_loss: 0.4514 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00472: val_loss did not improve from 0.34032\n",
            "Epoch 473/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0994 - accuracy: 0.9661 - val_loss: 0.4813 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00473: val_loss did not improve from 0.34032\n",
            "Epoch 474/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.1001 - accuracy: 0.9640 - val_loss: 0.4651 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00474: val_loss did not improve from 0.34032\n",
            "Epoch 475/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0996 - accuracy: 0.9623 - val_loss: 0.4549 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00475: val_loss did not improve from 0.34032\n",
            "Epoch 476/800\n",
            "1/1 [==============================] - 0s 167ms/step - loss: 0.1056 - accuracy: 0.9602 - val_loss: 0.4540 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00476: val_loss did not improve from 0.34032\n",
            "Epoch 477/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.0898 - accuracy: 0.9696 - val_loss: 0.4583 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00477: val_loss did not improve from 0.34032\n",
            "Epoch 478/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0898 - accuracy: 0.9661 - val_loss: 0.4680 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00478: val_loss did not improve from 0.34032\n",
            "Epoch 479/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0952 - accuracy: 0.9647 - val_loss: 0.4685 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00479: val_loss did not improve from 0.34032\n",
            "Epoch 480/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.1102 - accuracy: 0.9592 - val_loss: 0.4475 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00480: val_loss did not improve from 0.34032\n",
            "Epoch 481/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0932 - accuracy: 0.9665 - val_loss: 0.4369 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00481: val_loss did not improve from 0.34032\n",
            "Epoch 482/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.1070 - accuracy: 0.9582 - val_loss: 0.4382 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00482: val_loss did not improve from 0.34032\n",
            "Epoch 483/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0988 - accuracy: 0.9620 - val_loss: 0.4469 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00483: val_loss did not improve from 0.34032\n",
            "Epoch 484/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0964 - accuracy: 0.9668 - val_loss: 0.4671 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00484: val_loss did not improve from 0.34032\n",
            "Epoch 485/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0912 - accuracy: 0.9644 - val_loss: 0.4845 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00485: val_loss did not improve from 0.34032\n",
            "Epoch 486/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1033 - accuracy: 0.9620 - val_loss: 0.4811 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00486: val_loss did not improve from 0.34032\n",
            "Epoch 487/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0920 - accuracy: 0.9685 - val_loss: 0.4700 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00487: val_loss did not improve from 0.34032\n",
            "Epoch 488/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0931 - accuracy: 0.9627 - val_loss: 0.4615 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00488: val_loss did not improve from 0.34032\n",
            "Epoch 489/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1123 - accuracy: 0.9633 - val_loss: 0.4631 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00489: val_loss did not improve from 0.34032\n",
            "Epoch 490/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0948 - accuracy: 0.9647 - val_loss: 0.4610 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00490: val_loss did not improve from 0.34032\n",
            "Epoch 491/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0936 - accuracy: 0.9696 - val_loss: 0.4604 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00491: val_loss did not improve from 0.34032\n",
            "Epoch 492/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0860 - accuracy: 0.9668 - val_loss: 0.4608 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00492: val_loss did not improve from 0.34032\n",
            "Epoch 493/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0842 - accuracy: 0.9668 - val_loss: 0.4677 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00493: val_loss did not improve from 0.34032\n",
            "Epoch 494/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0940 - accuracy: 0.9675 - val_loss: 0.4766 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00494: val_loss did not improve from 0.34032\n",
            "Epoch 495/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0888 - accuracy: 0.9661 - val_loss: 0.4727 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00495: val_loss did not improve from 0.34032\n",
            "Epoch 496/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.1041 - accuracy: 0.9627 - val_loss: 0.4657 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00496: val_loss did not improve from 0.34032\n",
            "Epoch 497/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0891 - accuracy: 0.9685 - val_loss: 0.4594 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00497: val_loss did not improve from 0.34032\n",
            "Epoch 498/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.1022 - accuracy: 0.9637 - val_loss: 0.4515 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00498: val_loss did not improve from 0.34032\n",
            "Epoch 499/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0986 - accuracy: 0.9623 - val_loss: 0.4505 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00499: val_loss did not improve from 0.34032\n",
            "Epoch 500/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0932 - accuracy: 0.9665 - val_loss: 0.4501 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00500: val_loss did not improve from 0.34032\n",
            "Epoch 501/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.1022 - accuracy: 0.9630 - val_loss: 0.4583 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00501: val_loss did not improve from 0.34032\n",
            "Epoch 502/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0840 - accuracy: 0.9696 - val_loss: 0.4690 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00502: val_loss did not improve from 0.34032\n",
            "Epoch 503/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0812 - accuracy: 0.9720 - val_loss: 0.4581 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00503: val_loss did not improve from 0.34032\n",
            "Epoch 504/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0763 - accuracy: 0.9703 - val_loss: 0.4466 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00504: val_loss did not improve from 0.34032\n",
            "Epoch 505/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0913 - accuracy: 0.9651 - val_loss: 0.4495 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00505: val_loss did not improve from 0.34032\n",
            "Epoch 506/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0887 - accuracy: 0.9723 - val_loss: 0.4656 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00506: val_loss did not improve from 0.34032\n",
            "Epoch 507/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0935 - accuracy: 0.9668 - val_loss: 0.4935 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00507: val_loss did not improve from 0.34032\n",
            "Epoch 508/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0914 - accuracy: 0.9678 - val_loss: 0.5164 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00508: val_loss did not improve from 0.34032\n",
            "Epoch 509/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0850 - accuracy: 0.9682 - val_loss: 0.5031 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00509: val_loss did not improve from 0.34032\n",
            "Epoch 510/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.1007 - accuracy: 0.9623 - val_loss: 0.4846 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00510: val_loss did not improve from 0.34032\n",
            "Epoch 511/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0941 - accuracy: 0.9696 - val_loss: 0.4731 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00511: val_loss did not improve from 0.34032\n",
            "Epoch 512/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0958 - accuracy: 0.9654 - val_loss: 0.4737 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00512: val_loss did not improve from 0.34032\n",
            "Epoch 513/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0955 - accuracy: 0.9675 - val_loss: 0.4774 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00513: val_loss did not improve from 0.34032\n",
            "Epoch 514/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0778 - accuracy: 0.9723 - val_loss: 0.4748 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00514: val_loss did not improve from 0.34032\n",
            "Epoch 515/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0765 - accuracy: 0.9713 - val_loss: 0.4816 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00515: val_loss did not improve from 0.34032\n",
            "Epoch 516/800\n",
            "1/1 [==============================] - 0s 169ms/step - loss: 0.0783 - accuracy: 0.9696 - val_loss: 0.4818 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00516: val_loss did not improve from 0.34032\n",
            "Epoch 517/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0756 - accuracy: 0.9744 - val_loss: 0.4818 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00517: val_loss did not improve from 0.34032\n",
            "Epoch 518/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.1023 - accuracy: 0.9599 - val_loss: 0.4873 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00518: val_loss did not improve from 0.34032\n",
            "Epoch 519/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0720 - accuracy: 0.9779 - val_loss: 0.4917 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00519: val_loss did not improve from 0.34032\n",
            "Epoch 520/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0850 - accuracy: 0.9734 - val_loss: 0.4962 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00520: val_loss did not improve from 0.34032\n",
            "Epoch 521/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0986 - accuracy: 0.9661 - val_loss: 0.5040 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00521: val_loss did not improve from 0.34032\n",
            "Epoch 522/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0891 - accuracy: 0.9658 - val_loss: 0.5271 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00522: val_loss did not improve from 0.34032\n",
            "Epoch 523/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0869 - accuracy: 0.9713 - val_loss: 0.5422 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00523: val_loss did not improve from 0.34032\n",
            "Epoch 524/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0883 - accuracy: 0.9685 - val_loss: 0.5334 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00524: val_loss did not improve from 0.34032\n",
            "Epoch 525/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0924 - accuracy: 0.9651 - val_loss: 0.5212 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00525: val_loss did not improve from 0.34032\n",
            "Epoch 526/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0929 - accuracy: 0.9668 - val_loss: 0.4911 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00526: val_loss did not improve from 0.34032\n",
            "Epoch 527/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0959 - accuracy: 0.9654 - val_loss: 0.4523 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00527: val_loss did not improve from 0.34032\n",
            "Epoch 528/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.0919 - accuracy: 0.9665 - val_loss: 0.4310 - val_accuracy: 0.8802\n",
            "\n",
            "Epoch 00528: val_loss did not improve from 0.34032\n",
            "Epoch 529/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0875 - accuracy: 0.9692 - val_loss: 0.4255 - val_accuracy: 0.8837\n",
            "\n",
            "Epoch 00529: val_loss did not improve from 0.34032\n",
            "Epoch 530/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.0984 - accuracy: 0.9633 - val_loss: 0.4446 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00530: val_loss did not improve from 0.34032\n",
            "Epoch 531/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0992 - accuracy: 0.9654 - val_loss: 0.4658 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00531: val_loss did not improve from 0.34032\n",
            "Epoch 532/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0825 - accuracy: 0.9706 - val_loss: 0.4706 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00532: val_loss did not improve from 0.34032\n",
            "Epoch 533/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0906 - accuracy: 0.9637 - val_loss: 0.4766 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00533: val_loss did not improve from 0.34032\n",
            "Epoch 534/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0777 - accuracy: 0.9720 - val_loss: 0.4899 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00534: val_loss did not improve from 0.34032\n",
            "Epoch 535/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.1003 - accuracy: 0.9616 - val_loss: 0.4982 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00535: val_loss did not improve from 0.34032\n",
            "Epoch 536/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0976 - accuracy: 0.9665 - val_loss: 0.4882 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00536: val_loss did not improve from 0.34032\n",
            "Epoch 537/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0893 - accuracy: 0.9689 - val_loss: 0.4825 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00537: val_loss did not improve from 0.34032\n",
            "Epoch 538/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0761 - accuracy: 0.9699 - val_loss: 0.4804 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00538: val_loss did not improve from 0.34032\n",
            "Epoch 539/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0901 - accuracy: 0.9685 - val_loss: 0.4793 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00539: val_loss did not improve from 0.34032\n",
            "Epoch 540/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0909 - accuracy: 0.9668 - val_loss: 0.4709 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00540: val_loss did not improve from 0.34032\n",
            "Epoch 541/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0845 - accuracy: 0.9692 - val_loss: 0.4655 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00541: val_loss did not improve from 0.34032\n",
            "Epoch 542/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0886 - accuracy: 0.9682 - val_loss: 0.4833 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00542: val_loss did not improve from 0.34032\n",
            "Epoch 543/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0900 - accuracy: 0.9672 - val_loss: 0.5069 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00543: val_loss did not improve from 0.34032\n",
            "Epoch 544/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0791 - accuracy: 0.9678 - val_loss: 0.5147 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00544: val_loss did not improve from 0.34032\n",
            "Epoch 545/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0849 - accuracy: 0.9723 - val_loss: 0.5057 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00545: val_loss did not improve from 0.34032\n",
            "Epoch 546/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0950 - accuracy: 0.9630 - val_loss: 0.5022 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00546: val_loss did not improve from 0.34032\n",
            "Epoch 547/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0904 - accuracy: 0.9692 - val_loss: 0.4898 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00547: val_loss did not improve from 0.34032\n",
            "Epoch 548/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0812 - accuracy: 0.9716 - val_loss: 0.4715 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00548: val_loss did not improve from 0.34032\n",
            "Epoch 549/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0867 - accuracy: 0.9720 - val_loss: 0.4626 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00549: val_loss did not improve from 0.34032\n",
            "Epoch 550/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0848 - accuracy: 0.9689 - val_loss: 0.4685 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00550: val_loss did not improve from 0.34032\n",
            "Epoch 551/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0742 - accuracy: 0.9734 - val_loss: 0.4752 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00551: val_loss did not improve from 0.34032\n",
            "Epoch 552/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0818 - accuracy: 0.9661 - val_loss: 0.4685 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00552: val_loss did not improve from 0.34032\n",
            "Epoch 553/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0772 - accuracy: 0.9699 - val_loss: 0.4624 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00553: val_loss did not improve from 0.34032\n",
            "Epoch 554/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0671 - accuracy: 0.9754 - val_loss: 0.4759 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00554: val_loss did not improve from 0.34032\n",
            "Epoch 555/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0788 - accuracy: 0.9720 - val_loss: 0.4939 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00555: val_loss did not improve from 0.34032\n",
            "Epoch 556/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0734 - accuracy: 0.9730 - val_loss: 0.5085 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00556: val_loss did not improve from 0.34032\n",
            "Epoch 557/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0757 - accuracy: 0.9730 - val_loss: 0.5175 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00557: val_loss did not improve from 0.34032\n",
            "Epoch 558/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0800 - accuracy: 0.9720 - val_loss: 0.5101 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00558: val_loss did not improve from 0.34032\n",
            "Epoch 559/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0747 - accuracy: 0.9720 - val_loss: 0.4956 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00559: val_loss did not improve from 0.34032\n",
            "Epoch 560/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0716 - accuracy: 0.9737 - val_loss: 0.4776 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00560: val_loss did not improve from 0.34032\n",
            "Epoch 561/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0827 - accuracy: 0.9682 - val_loss: 0.4811 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00561: val_loss did not improve from 0.34032\n",
            "Epoch 562/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0876 - accuracy: 0.9678 - val_loss: 0.4875 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00562: val_loss did not improve from 0.34032\n",
            "Epoch 563/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0832 - accuracy: 0.9706 - val_loss: 0.4887 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00563: val_loss did not improve from 0.34032\n",
            "Epoch 564/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0761 - accuracy: 0.9744 - val_loss: 0.4756 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00564: val_loss did not improve from 0.34032\n",
            "Epoch 565/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0676 - accuracy: 0.9727 - val_loss: 0.4707 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00565: val_loss did not improve from 0.34032\n",
            "Epoch 566/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0854 - accuracy: 0.9703 - val_loss: 0.4768 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00566: val_loss did not improve from 0.34032\n",
            "Epoch 567/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0927 - accuracy: 0.9703 - val_loss: 0.4992 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00567: val_loss did not improve from 0.34032\n",
            "Epoch 568/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0793 - accuracy: 0.9741 - val_loss: 0.5300 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00568: val_loss did not improve from 0.34032\n",
            "Epoch 569/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0890 - accuracy: 0.9699 - val_loss: 0.5417 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00569: val_loss did not improve from 0.34032\n",
            "Epoch 570/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0772 - accuracy: 0.9716 - val_loss: 0.5120 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00570: val_loss did not improve from 0.34032\n",
            "Epoch 571/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0662 - accuracy: 0.9727 - val_loss: 0.4834 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00571: val_loss did not improve from 0.34032\n",
            "Epoch 572/800\n",
            "1/1 [==============================] - 0s 188ms/step - loss: 0.0737 - accuracy: 0.9727 - val_loss: 0.4709 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00572: val_loss did not improve from 0.34032\n",
            "Epoch 573/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0907 - accuracy: 0.9658 - val_loss: 0.4755 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00573: val_loss did not improve from 0.34032\n",
            "Epoch 574/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0725 - accuracy: 0.9737 - val_loss: 0.4884 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00574: val_loss did not improve from 0.34032\n",
            "Epoch 575/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0777 - accuracy: 0.9758 - val_loss: 0.5009 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00575: val_loss did not improve from 0.34032\n",
            "Epoch 576/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0828 - accuracy: 0.9710 - val_loss: 0.4907 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00576: val_loss did not improve from 0.34032\n",
            "Epoch 577/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0870 - accuracy: 0.9699 - val_loss: 0.4599 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00577: val_loss did not improve from 0.34032\n",
            "Epoch 578/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0737 - accuracy: 0.9775 - val_loss: 0.4496 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00578: val_loss did not improve from 0.34032\n",
            "Epoch 579/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0815 - accuracy: 0.9696 - val_loss: 0.4536 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00579: val_loss did not improve from 0.34032\n",
            "Epoch 580/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0876 - accuracy: 0.9668 - val_loss: 0.4725 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00580: val_loss did not improve from 0.34032\n",
            "Epoch 581/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0906 - accuracy: 0.9689 - val_loss: 0.5083 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00581: val_loss did not improve from 0.34032\n",
            "Epoch 582/800\n",
            "1/1 [==============================] - 0s 188ms/step - loss: 0.0813 - accuracy: 0.9741 - val_loss: 0.5276 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00582: val_loss did not improve from 0.34032\n",
            "Epoch 583/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0614 - accuracy: 0.9772 - val_loss: 0.5224 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00583: val_loss did not improve from 0.34032\n",
            "Epoch 584/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0767 - accuracy: 0.9699 - val_loss: 0.5033 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00584: val_loss did not improve from 0.34032\n",
            "Epoch 585/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0873 - accuracy: 0.9658 - val_loss: 0.4782 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00585: val_loss did not improve from 0.34032\n",
            "Epoch 586/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0745 - accuracy: 0.9737 - val_loss: 0.4750 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00586: val_loss did not improve from 0.34032\n",
            "Epoch 587/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0686 - accuracy: 0.9754 - val_loss: 0.4769 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00587: val_loss did not improve from 0.34032\n",
            "Epoch 588/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0780 - accuracy: 0.9710 - val_loss: 0.4804 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00588: val_loss did not improve from 0.34032\n",
            "Epoch 589/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0725 - accuracy: 0.9758 - val_loss: 0.4989 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00589: val_loss did not improve from 0.34032\n",
            "Epoch 590/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0780 - accuracy: 0.9723 - val_loss: 0.5163 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00590: val_loss did not improve from 0.34032\n",
            "Epoch 591/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0771 - accuracy: 0.9748 - val_loss: 0.5197 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00591: val_loss did not improve from 0.34032\n",
            "Epoch 592/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0710 - accuracy: 0.9741 - val_loss: 0.5198 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00592: val_loss did not improve from 0.34032\n",
            "Epoch 593/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0867 - accuracy: 0.9675 - val_loss: 0.5084 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00593: val_loss did not improve from 0.34032\n",
            "Epoch 594/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0670 - accuracy: 0.9754 - val_loss: 0.4998 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00594: val_loss did not improve from 0.34032\n",
            "Epoch 595/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0760 - accuracy: 0.9706 - val_loss: 0.5012 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00595: val_loss did not improve from 0.34032\n",
            "Epoch 596/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0734 - accuracy: 0.9706 - val_loss: 0.5055 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00596: val_loss did not improve from 0.34032\n",
            "Epoch 597/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0680 - accuracy: 0.9744 - val_loss: 0.5095 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00597: val_loss did not improve from 0.34032\n",
            "Epoch 598/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0755 - accuracy: 0.9713 - val_loss: 0.4897 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00598: val_loss did not improve from 0.34032\n",
            "Epoch 599/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0782 - accuracy: 0.9692 - val_loss: 0.4849 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00599: val_loss did not improve from 0.34032\n",
            "Epoch 600/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0729 - accuracy: 0.9734 - val_loss: 0.4896 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00600: val_loss did not improve from 0.34032\n",
            "Epoch 601/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0712 - accuracy: 0.9754 - val_loss: 0.5103 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00601: val_loss did not improve from 0.34032\n",
            "Epoch 602/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0708 - accuracy: 0.9730 - val_loss: 0.5441 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00602: val_loss did not improve from 0.34032\n",
            "Epoch 603/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0774 - accuracy: 0.9741 - val_loss: 0.5712 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00603: val_loss did not improve from 0.34032\n",
            "Epoch 604/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0671 - accuracy: 0.9779 - val_loss: 0.5791 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00604: val_loss did not improve from 0.34032\n",
            "Epoch 605/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0676 - accuracy: 0.9748 - val_loss: 0.5649 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00605: val_loss did not improve from 0.34032\n",
            "Epoch 606/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0721 - accuracy: 0.9723 - val_loss: 0.5574 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00606: val_loss did not improve from 0.34032\n",
            "Epoch 607/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0628 - accuracy: 0.9754 - val_loss: 0.5430 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00607: val_loss did not improve from 0.34032\n",
            "Epoch 608/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0801 - accuracy: 0.9706 - val_loss: 0.5361 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00608: val_loss did not improve from 0.34032\n",
            "Epoch 609/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0734 - accuracy: 0.9696 - val_loss: 0.5352 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00609: val_loss did not improve from 0.34032\n",
            "Epoch 610/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0826 - accuracy: 0.9723 - val_loss: 0.5288 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00610: val_loss did not improve from 0.34032\n",
            "Epoch 611/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0656 - accuracy: 0.9768 - val_loss: 0.5110 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00611: val_loss did not improve from 0.34032\n",
            "Epoch 612/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0789 - accuracy: 0.9737 - val_loss: 0.4988 - val_accuracy: 0.8819\n",
            "\n",
            "Epoch 00612: val_loss did not improve from 0.34032\n",
            "Epoch 613/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0752 - accuracy: 0.9761 - val_loss: 0.4975 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00613: val_loss did not improve from 0.34032\n",
            "Epoch 614/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0656 - accuracy: 0.9754 - val_loss: 0.5025 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00614: val_loss did not improve from 0.34032\n",
            "Epoch 615/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0633 - accuracy: 0.9751 - val_loss: 0.5040 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00615: val_loss did not improve from 0.34032\n",
            "Epoch 616/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0846 - accuracy: 0.9678 - val_loss: 0.4873 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00616: val_loss did not improve from 0.34032\n",
            "Epoch 617/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0659 - accuracy: 0.9761 - val_loss: 0.4734 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00617: val_loss did not improve from 0.34032\n",
            "Epoch 618/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0809 - accuracy: 0.9748 - val_loss: 0.4816 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00618: val_loss did not improve from 0.34032\n",
            "Epoch 619/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0730 - accuracy: 0.9710 - val_loss: 0.5050 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00619: val_loss did not improve from 0.34032\n",
            "Epoch 620/800\n",
            "1/1 [==============================] - 0s 195ms/step - loss: 0.0705 - accuracy: 0.9754 - val_loss: 0.5245 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00620: val_loss did not improve from 0.34032\n",
            "Epoch 621/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0803 - accuracy: 0.9720 - val_loss: 0.5092 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00621: val_loss did not improve from 0.34032\n",
            "Epoch 622/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0618 - accuracy: 0.9813 - val_loss: 0.4959 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00622: val_loss did not improve from 0.34032\n",
            "Epoch 623/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0682 - accuracy: 0.9720 - val_loss: 0.4877 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00623: val_loss did not improve from 0.34032\n",
            "Epoch 624/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0684 - accuracy: 0.9727 - val_loss: 0.4864 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00624: val_loss did not improve from 0.34032\n",
            "Epoch 625/800\n",
            "1/1 [==============================] - 0s 170ms/step - loss: 0.0725 - accuracy: 0.9748 - val_loss: 0.4804 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00625: val_loss did not improve from 0.34032\n",
            "Epoch 626/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0703 - accuracy: 0.9754 - val_loss: 0.4826 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00626: val_loss did not improve from 0.34032\n",
            "Epoch 627/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0664 - accuracy: 0.9761 - val_loss: 0.4913 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00627: val_loss did not improve from 0.34032\n",
            "Epoch 628/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0818 - accuracy: 0.9723 - val_loss: 0.5050 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00628: val_loss did not improve from 0.34032\n",
            "Epoch 629/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0690 - accuracy: 0.9779 - val_loss: 0.4987 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00629: val_loss did not improve from 0.34032\n",
            "Epoch 630/800\n",
            "1/1 [==============================] - 0s 200ms/step - loss: 0.0669 - accuracy: 0.9758 - val_loss: 0.4831 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00630: val_loss did not improve from 0.34032\n",
            "Epoch 631/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0576 - accuracy: 0.9806 - val_loss: 0.4768 - val_accuracy: 0.8802\n",
            "\n",
            "Epoch 00631: val_loss did not improve from 0.34032\n",
            "Epoch 632/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0684 - accuracy: 0.9758 - val_loss: 0.4820 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00632: val_loss did not improve from 0.34032\n",
            "Epoch 633/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0642 - accuracy: 0.9779 - val_loss: 0.4917 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00633: val_loss did not improve from 0.34032\n",
            "Epoch 634/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0708 - accuracy: 0.9720 - val_loss: 0.5120 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00634: val_loss did not improve from 0.34032\n",
            "Epoch 635/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0703 - accuracy: 0.9758 - val_loss: 0.5328 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00635: val_loss did not improve from 0.34032\n",
            "Epoch 636/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0636 - accuracy: 0.9782 - val_loss: 0.5369 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00636: val_loss did not improve from 0.34032\n",
            "Epoch 637/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0711 - accuracy: 0.9796 - val_loss: 0.5144 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00637: val_loss did not improve from 0.34032\n",
            "Epoch 638/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0618 - accuracy: 0.9758 - val_loss: 0.4922 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00638: val_loss did not improve from 0.34032\n",
            "Epoch 639/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0680 - accuracy: 0.9748 - val_loss: 0.4834 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00639: val_loss did not improve from 0.34032\n",
            "Epoch 640/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0547 - accuracy: 0.9793 - val_loss: 0.4838 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00640: val_loss did not improve from 0.34032\n",
            "Epoch 641/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0619 - accuracy: 0.9768 - val_loss: 0.5015 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00641: val_loss did not improve from 0.34032\n",
            "Epoch 642/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0564 - accuracy: 0.9799 - val_loss: 0.5242 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00642: val_loss did not improve from 0.34032\n",
            "Epoch 643/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0722 - accuracy: 0.9741 - val_loss: 0.5362 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00643: val_loss did not improve from 0.34032\n",
            "Epoch 644/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0685 - accuracy: 0.9768 - val_loss: 0.5332 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00644: val_loss did not improve from 0.34032\n",
            "Epoch 645/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0576 - accuracy: 0.9806 - val_loss: 0.5284 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00645: val_loss did not improve from 0.34032\n",
            "Epoch 646/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0638 - accuracy: 0.9761 - val_loss: 0.5287 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00646: val_loss did not improve from 0.34032\n",
            "Epoch 647/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0702 - accuracy: 0.9782 - val_loss: 0.5218 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00647: val_loss did not improve from 0.34032\n",
            "Epoch 648/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0717 - accuracy: 0.9741 - val_loss: 0.5151 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00648: val_loss did not improve from 0.34032\n",
            "Epoch 649/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0722 - accuracy: 0.9723 - val_loss: 0.5133 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00649: val_loss did not improve from 0.34032\n",
            "Epoch 650/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0661 - accuracy: 0.9754 - val_loss: 0.5107 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00650: val_loss did not improve from 0.34032\n",
            "Epoch 651/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0651 - accuracy: 0.9751 - val_loss: 0.5082 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00651: val_loss did not improve from 0.34032\n",
            "Epoch 652/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0626 - accuracy: 0.9775 - val_loss: 0.5146 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00652: val_loss did not improve from 0.34032\n",
            "Epoch 653/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0679 - accuracy: 0.9765 - val_loss: 0.5048 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00653: val_loss did not improve from 0.34032\n",
            "Epoch 654/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0748 - accuracy: 0.9734 - val_loss: 0.4946 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00654: val_loss did not improve from 0.34032\n",
            "Epoch 655/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0639 - accuracy: 0.9744 - val_loss: 0.4970 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00655: val_loss did not improve from 0.34032\n",
            "Epoch 656/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0651 - accuracy: 0.9734 - val_loss: 0.5061 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00656: val_loss did not improve from 0.34032\n",
            "Epoch 657/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0714 - accuracy: 0.9744 - val_loss: 0.5165 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00657: val_loss did not improve from 0.34032\n",
            "Epoch 658/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0592 - accuracy: 0.9799 - val_loss: 0.5290 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00658: val_loss did not improve from 0.34032\n",
            "Epoch 659/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0575 - accuracy: 0.9806 - val_loss: 0.5315 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00659: val_loss did not improve from 0.34032\n",
            "Epoch 660/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0688 - accuracy: 0.9748 - val_loss: 0.5289 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00660: val_loss did not improve from 0.34032\n",
            "Epoch 661/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0535 - accuracy: 0.9775 - val_loss: 0.5197 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00661: val_loss did not improve from 0.34032\n",
            "Epoch 662/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0547 - accuracy: 0.9831 - val_loss: 0.5062 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00662: val_loss did not improve from 0.34032\n",
            "Epoch 663/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0659 - accuracy: 0.9734 - val_loss: 0.4991 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00663: val_loss did not improve from 0.34032\n",
            "Epoch 664/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0692 - accuracy: 0.9720 - val_loss: 0.4972 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00664: val_loss did not improve from 0.34032\n",
            "Epoch 665/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0524 - accuracy: 0.9803 - val_loss: 0.5081 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00665: val_loss did not improve from 0.34032\n",
            "Epoch 666/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0658 - accuracy: 0.9796 - val_loss: 0.5314 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00666: val_loss did not improve from 0.34032\n",
            "Epoch 667/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0627 - accuracy: 0.9758 - val_loss: 0.5625 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00667: val_loss did not improve from 0.34032\n",
            "Epoch 668/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0571 - accuracy: 0.9754 - val_loss: 0.5721 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00668: val_loss did not improve from 0.34032\n",
            "Epoch 669/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0577 - accuracy: 0.9837 - val_loss: 0.5751 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00669: val_loss did not improve from 0.34032\n",
            "Epoch 670/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0556 - accuracy: 0.9803 - val_loss: 0.5714 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00670: val_loss did not improve from 0.34032\n",
            "Epoch 671/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0576 - accuracy: 0.9820 - val_loss: 0.5576 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00671: val_loss did not improve from 0.34032\n",
            "Epoch 672/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0588 - accuracy: 0.9813 - val_loss: 0.5289 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00672: val_loss did not improve from 0.34032\n",
            "Epoch 673/800\n",
            "1/1 [==============================] - 0s 188ms/step - loss: 0.0609 - accuracy: 0.9786 - val_loss: 0.5165 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00673: val_loss did not improve from 0.34032\n",
            "Epoch 674/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0720 - accuracy: 0.9758 - val_loss: 0.5123 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00674: val_loss did not improve from 0.34032\n",
            "Epoch 675/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0603 - accuracy: 0.9782 - val_loss: 0.5163 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00675: val_loss did not improve from 0.34032\n",
            "Epoch 676/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0505 - accuracy: 0.9806 - val_loss: 0.5396 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00676: val_loss did not improve from 0.34032\n",
            "Epoch 677/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0548 - accuracy: 0.9810 - val_loss: 0.5676 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00677: val_loss did not improve from 0.34032\n",
            "Epoch 678/800\n",
            "1/1 [==============================] - 0s 173ms/step - loss: 0.0661 - accuracy: 0.9768 - val_loss: 0.5562 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00678: val_loss did not improve from 0.34032\n",
            "Epoch 679/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0583 - accuracy: 0.9806 - val_loss: 0.5371 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00679: val_loss did not improve from 0.34032\n",
            "Epoch 680/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0753 - accuracy: 0.9713 - val_loss: 0.5160 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00680: val_loss did not improve from 0.34032\n",
            "Epoch 681/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0602 - accuracy: 0.9820 - val_loss: 0.5138 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00681: val_loss did not improve from 0.34032\n",
            "Epoch 682/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0700 - accuracy: 0.9768 - val_loss: 0.5248 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00682: val_loss did not improve from 0.34032\n",
            "Epoch 683/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0583 - accuracy: 0.9817 - val_loss: 0.5474 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00683: val_loss did not improve from 0.34032\n",
            "Epoch 684/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0548 - accuracy: 0.9810 - val_loss: 0.5651 - val_accuracy: 0.8490\n",
            "\n",
            "Epoch 00684: val_loss did not improve from 0.34032\n",
            "Epoch 685/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0619 - accuracy: 0.9765 - val_loss: 0.5770 - val_accuracy: 0.8524\n",
            "\n",
            "Epoch 00685: val_loss did not improve from 0.34032\n",
            "Epoch 686/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0570 - accuracy: 0.9820 - val_loss: 0.5936 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00686: val_loss did not improve from 0.34032\n",
            "Epoch 687/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0697 - accuracy: 0.9754 - val_loss: 0.6017 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00687: val_loss did not improve from 0.34032\n",
            "Epoch 688/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0637 - accuracy: 0.9751 - val_loss: 0.5936 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00688: val_loss did not improve from 0.34032\n",
            "Epoch 689/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0715 - accuracy: 0.9754 - val_loss: 0.5755 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00689: val_loss did not improve from 0.34032\n",
            "Epoch 690/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0597 - accuracy: 0.9799 - val_loss: 0.5448 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00690: val_loss did not improve from 0.34032\n",
            "Epoch 691/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0623 - accuracy: 0.9796 - val_loss: 0.5181 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00691: val_loss did not improve from 0.34032\n",
            "Epoch 692/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0527 - accuracy: 0.9824 - val_loss: 0.4964 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00692: val_loss did not improve from 0.34032\n",
            "Epoch 693/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0637 - accuracy: 0.9772 - val_loss: 0.5037 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00693: val_loss did not improve from 0.34032\n",
            "Epoch 694/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0561 - accuracy: 0.9793 - val_loss: 0.5185 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00694: val_loss did not improve from 0.34032\n",
            "Epoch 695/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0749 - accuracy: 0.9754 - val_loss: 0.5311 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00695: val_loss did not improve from 0.34032\n",
            "Epoch 696/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0656 - accuracy: 0.9803 - val_loss: 0.5318 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00696: val_loss did not improve from 0.34032\n",
            "Epoch 697/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0564 - accuracy: 0.9799 - val_loss: 0.5433 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00697: val_loss did not improve from 0.34032\n",
            "Epoch 698/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0705 - accuracy: 0.9734 - val_loss: 0.5438 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00698: val_loss did not improve from 0.34032\n",
            "Epoch 699/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.0583 - accuracy: 0.9799 - val_loss: 0.5472 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00699: val_loss did not improve from 0.34032\n",
            "Epoch 700/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.0501 - accuracy: 0.9827 - val_loss: 0.5459 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00700: val_loss did not improve from 0.34032\n",
            "Epoch 701/800\n",
            "1/1 [==============================] - 0s 191ms/step - loss: 0.0633 - accuracy: 0.9793 - val_loss: 0.5291 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00701: val_loss did not improve from 0.34032\n",
            "Epoch 702/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0570 - accuracy: 0.9789 - val_loss: 0.5164 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00702: val_loss did not improve from 0.34032\n",
            "Epoch 703/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0621 - accuracy: 0.9786 - val_loss: 0.5095 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00703: val_loss did not improve from 0.34032\n",
            "Epoch 704/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0541 - accuracy: 0.9834 - val_loss: 0.5143 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00704: val_loss did not improve from 0.34032\n",
            "Epoch 705/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0549 - accuracy: 0.9810 - val_loss: 0.5270 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00705: val_loss did not improve from 0.34032\n",
            "Epoch 706/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0589 - accuracy: 0.9827 - val_loss: 0.5396 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00706: val_loss did not improve from 0.34032\n",
            "Epoch 707/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0630 - accuracy: 0.9793 - val_loss: 0.5473 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00707: val_loss did not improve from 0.34032\n",
            "Epoch 708/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0561 - accuracy: 0.9820 - val_loss: 0.5505 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00708: val_loss did not improve from 0.34032\n",
            "Epoch 709/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0491 - accuracy: 0.9831 - val_loss: 0.5464 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00709: val_loss did not improve from 0.34032\n",
            "Epoch 710/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.0475 - accuracy: 0.9848 - val_loss: 0.5342 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00710: val_loss did not improve from 0.34032\n",
            "Epoch 711/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0558 - accuracy: 0.9810 - val_loss: 0.5221 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00711: val_loss did not improve from 0.34032\n",
            "Epoch 712/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0493 - accuracy: 0.9827 - val_loss: 0.5218 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00712: val_loss did not improve from 0.34032\n",
            "Epoch 713/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0652 - accuracy: 0.9754 - val_loss: 0.5315 - val_accuracy: 0.8594\n",
            "\n",
            "Epoch 00713: val_loss did not improve from 0.34032\n",
            "Epoch 714/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0597 - accuracy: 0.9806 - val_loss: 0.5315 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00714: val_loss did not improve from 0.34032\n",
            "Epoch 715/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0535 - accuracy: 0.9817 - val_loss: 0.5198 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00715: val_loss did not improve from 0.34032\n",
            "Epoch 716/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0472 - accuracy: 0.9837 - val_loss: 0.5064 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00716: val_loss did not improve from 0.34032\n",
            "Epoch 717/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0604 - accuracy: 0.9775 - val_loss: 0.5047 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00717: val_loss did not improve from 0.34032\n",
            "Epoch 718/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0528 - accuracy: 0.9834 - val_loss: 0.5062 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00718: val_loss did not improve from 0.34032\n",
            "Epoch 719/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0571 - accuracy: 0.9810 - val_loss: 0.5120 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00719: val_loss did not improve from 0.34032\n",
            "Epoch 720/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0594 - accuracy: 0.9754 - val_loss: 0.5264 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00720: val_loss did not improve from 0.34032\n",
            "Epoch 721/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0527 - accuracy: 0.9817 - val_loss: 0.5396 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00721: val_loss did not improve from 0.34032\n",
            "Epoch 722/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0488 - accuracy: 0.9834 - val_loss: 0.5370 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00722: val_loss did not improve from 0.34032\n",
            "Epoch 723/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0665 - accuracy: 0.9748 - val_loss: 0.5179 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00723: val_loss did not improve from 0.34032\n",
            "Epoch 724/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0499 - accuracy: 0.9855 - val_loss: 0.5015 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00724: val_loss did not improve from 0.34032\n",
            "Epoch 725/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0689 - accuracy: 0.9751 - val_loss: 0.5014 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00725: val_loss did not improve from 0.34032\n",
            "Epoch 726/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0565 - accuracy: 0.9810 - val_loss: 0.5098 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00726: val_loss did not improve from 0.34032\n",
            "Epoch 727/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0594 - accuracy: 0.9793 - val_loss: 0.5021 - val_accuracy: 0.8837\n",
            "\n",
            "Epoch 00727: val_loss did not improve from 0.34032\n",
            "Epoch 728/800\n",
            "1/1 [==============================] - 0s 191ms/step - loss: 0.0529 - accuracy: 0.9824 - val_loss: 0.4850 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00728: val_loss did not improve from 0.34032\n",
            "Epoch 729/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0451 - accuracy: 0.9851 - val_loss: 0.4965 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00729: val_loss did not improve from 0.34032\n",
            "Epoch 730/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0576 - accuracy: 0.9810 - val_loss: 0.5096 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00730: val_loss did not improve from 0.34032\n",
            "Epoch 731/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0519 - accuracy: 0.9799 - val_loss: 0.5330 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00731: val_loss did not improve from 0.34032\n",
            "Epoch 732/800\n",
            "1/1 [==============================] - 0s 190ms/step - loss: 0.0583 - accuracy: 0.9789 - val_loss: 0.5404 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00732: val_loss did not improve from 0.34032\n",
            "Epoch 733/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0595 - accuracy: 0.9789 - val_loss: 0.5472 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00733: val_loss did not improve from 0.34032\n",
            "Epoch 734/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0534 - accuracy: 0.9806 - val_loss: 0.5441 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00734: val_loss did not improve from 0.34032\n",
            "Epoch 735/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0515 - accuracy: 0.9796 - val_loss: 0.5530 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00735: val_loss did not improve from 0.34032\n",
            "Epoch 736/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0547 - accuracy: 0.9841 - val_loss: 0.5630 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00736: val_loss did not improve from 0.34032\n",
            "Epoch 737/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0549 - accuracy: 0.9793 - val_loss: 0.5761 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00737: val_loss did not improve from 0.34032\n",
            "Epoch 738/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0552 - accuracy: 0.9786 - val_loss: 0.5758 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00738: val_loss did not improve from 0.34032\n",
            "Epoch 739/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0511 - accuracy: 0.9817 - val_loss: 0.5745 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00739: val_loss did not improve from 0.34032\n",
            "Epoch 740/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0519 - accuracy: 0.9803 - val_loss: 0.5598 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00740: val_loss did not improve from 0.34032\n",
            "Epoch 741/800\n",
            "1/1 [==============================] - 0s 190ms/step - loss: 0.0547 - accuracy: 0.9796 - val_loss: 0.5539 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00741: val_loss did not improve from 0.34032\n",
            "Epoch 742/800\n",
            "1/1 [==============================] - 0s 199ms/step - loss: 0.0521 - accuracy: 0.9813 - val_loss: 0.5499 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00742: val_loss did not improve from 0.34032\n",
            "Epoch 743/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0514 - accuracy: 0.9827 - val_loss: 0.5364 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00743: val_loss did not improve from 0.34032\n",
            "Epoch 744/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0474 - accuracy: 0.9834 - val_loss: 0.5358 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00744: val_loss did not improve from 0.34032\n",
            "Epoch 745/800\n",
            "1/1 [==============================] - 0s 194ms/step - loss: 0.0497 - accuracy: 0.9817 - val_loss: 0.5347 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00745: val_loss did not improve from 0.34032\n",
            "Epoch 746/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0532 - accuracy: 0.9793 - val_loss: 0.5330 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00746: val_loss did not improve from 0.34032\n",
            "Epoch 747/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0549 - accuracy: 0.9789 - val_loss: 0.5380 - val_accuracy: 0.8802\n",
            "\n",
            "Epoch 00747: val_loss did not improve from 0.34032\n",
            "Epoch 748/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0492 - accuracy: 0.9820 - val_loss: 0.5345 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00748: val_loss did not improve from 0.34032\n",
            "Epoch 749/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0468 - accuracy: 0.9844 - val_loss: 0.5252 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00749: val_loss did not improve from 0.34032\n",
            "Epoch 750/800\n",
            "1/1 [==============================] - 0s 171ms/step - loss: 0.0607 - accuracy: 0.9772 - val_loss: 0.5177 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00750: val_loss did not improve from 0.34032\n",
            "Epoch 751/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0519 - accuracy: 0.9813 - val_loss: 0.5150 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00751: val_loss did not improve from 0.34032\n",
            "Epoch 752/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0554 - accuracy: 0.9834 - val_loss: 0.5143 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00752: val_loss did not improve from 0.34032\n",
            "Epoch 753/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0467 - accuracy: 0.9834 - val_loss: 0.5258 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00753: val_loss did not improve from 0.34032\n",
            "Epoch 754/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0585 - accuracy: 0.9786 - val_loss: 0.5319 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00754: val_loss did not improve from 0.34032\n",
            "Epoch 755/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0519 - accuracy: 0.9793 - val_loss: 0.5334 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00755: val_loss did not improve from 0.34032\n",
            "Epoch 756/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0557 - accuracy: 0.9820 - val_loss: 0.5214 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00756: val_loss did not improve from 0.34032\n",
            "Epoch 757/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0489 - accuracy: 0.9810 - val_loss: 0.5155 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00757: val_loss did not improve from 0.34032\n",
            "Epoch 758/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0632 - accuracy: 0.9786 - val_loss: 0.5087 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00758: val_loss did not improve from 0.34032\n",
            "Epoch 759/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0618 - accuracy: 0.9810 - val_loss: 0.5054 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00759: val_loss did not improve from 0.34032\n",
            "Epoch 760/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0493 - accuracy: 0.9813 - val_loss: 0.5042 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00760: val_loss did not improve from 0.34032\n",
            "Epoch 761/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0585 - accuracy: 0.9775 - val_loss: 0.5182 - val_accuracy: 0.8802\n",
            "\n",
            "Epoch 00761: val_loss did not improve from 0.34032\n",
            "Epoch 762/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0665 - accuracy: 0.9765 - val_loss: 0.5369 - val_accuracy: 0.8785\n",
            "\n",
            "Epoch 00762: val_loss did not improve from 0.34032\n",
            "Epoch 763/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0681 - accuracy: 0.9744 - val_loss: 0.5518 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00763: val_loss did not improve from 0.34032\n",
            "Epoch 764/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0626 - accuracy: 0.9782 - val_loss: 0.5535 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00764: val_loss did not improve from 0.34032\n",
            "Epoch 765/800\n",
            "1/1 [==============================] - 0s 191ms/step - loss: 0.0528 - accuracy: 0.9806 - val_loss: 0.5608 - val_accuracy: 0.8542\n",
            "\n",
            "Epoch 00765: val_loss did not improve from 0.34032\n",
            "Epoch 766/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0583 - accuracy: 0.9768 - val_loss: 0.5658 - val_accuracy: 0.8559\n",
            "\n",
            "Epoch 00766: val_loss did not improve from 0.34032\n",
            "Epoch 767/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0680 - accuracy: 0.9772 - val_loss: 0.5603 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00767: val_loss did not improve from 0.34032\n",
            "Epoch 768/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0553 - accuracy: 0.9813 - val_loss: 0.5415 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00768: val_loss did not improve from 0.34032\n",
            "Epoch 769/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0469 - accuracy: 0.9813 - val_loss: 0.5338 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00769: val_loss did not improve from 0.34032\n",
            "Epoch 770/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0421 - accuracy: 0.9851 - val_loss: 0.5246 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00770: val_loss did not improve from 0.34032\n",
            "Epoch 771/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0472 - accuracy: 0.9817 - val_loss: 0.5100 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00771: val_loss did not improve from 0.34032\n",
            "Epoch 772/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0477 - accuracy: 0.9837 - val_loss: 0.5070 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00772: val_loss did not improve from 0.34032\n",
            "Epoch 773/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0490 - accuracy: 0.9817 - val_loss: 0.5141 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00773: val_loss did not improve from 0.34032\n",
            "Epoch 774/800\n",
            "1/1 [==============================] - 0s 186ms/step - loss: 0.0479 - accuracy: 0.9806 - val_loss: 0.5298 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00774: val_loss did not improve from 0.34032\n",
            "Epoch 775/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0504 - accuracy: 0.9824 - val_loss: 0.5301 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00775: val_loss did not improve from 0.34032\n",
            "Epoch 776/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0554 - accuracy: 0.9803 - val_loss: 0.5102 - val_accuracy: 0.8837\n",
            "\n",
            "Epoch 00776: val_loss did not improve from 0.34032\n",
            "Epoch 777/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0550 - accuracy: 0.9793 - val_loss: 0.4920 - val_accuracy: 0.8819\n",
            "\n",
            "Epoch 00777: val_loss did not improve from 0.34032\n",
            "Epoch 778/800\n",
            "1/1 [==============================] - 0s 181ms/step - loss: 0.0538 - accuracy: 0.9831 - val_loss: 0.4872 - val_accuracy: 0.8872\n",
            "\n",
            "Epoch 00778: val_loss did not improve from 0.34032\n",
            "Epoch 779/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0504 - accuracy: 0.9817 - val_loss: 0.5064 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00779: val_loss did not improve from 0.34032\n",
            "Epoch 780/800\n",
            "1/1 [==============================] - 0s 187ms/step - loss: 0.0478 - accuracy: 0.9796 - val_loss: 0.5523 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00780: val_loss did not improve from 0.34032\n",
            "Epoch 781/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0602 - accuracy: 0.9768 - val_loss: 0.6089 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00781: val_loss did not improve from 0.34032\n",
            "Epoch 782/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0586 - accuracy: 0.9799 - val_loss: 0.6203 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00782: val_loss did not improve from 0.34032\n",
            "Epoch 783/800\n",
            "1/1 [==============================] - 0s 178ms/step - loss: 0.0458 - accuracy: 0.9844 - val_loss: 0.5915 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00783: val_loss did not improve from 0.34032\n",
            "Epoch 784/800\n",
            "1/1 [==============================] - 0s 184ms/step - loss: 0.0541 - accuracy: 0.9824 - val_loss: 0.5666 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00784: val_loss did not improve from 0.34032\n",
            "Epoch 785/800\n",
            "1/1 [==============================] - 0s 177ms/step - loss: 0.0487 - accuracy: 0.9810 - val_loss: 0.5668 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00785: val_loss did not improve from 0.34032\n",
            "Epoch 786/800\n",
            "1/1 [==============================] - 0s 185ms/step - loss: 0.0613 - accuracy: 0.9803 - val_loss: 0.5764 - val_accuracy: 0.8628\n",
            "\n",
            "Epoch 00786: val_loss did not improve from 0.34032\n",
            "Epoch 787/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0452 - accuracy: 0.9848 - val_loss: 0.5916 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00787: val_loss did not improve from 0.34032\n",
            "Epoch 788/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0454 - accuracy: 0.9827 - val_loss: 0.6057 - val_accuracy: 0.8576\n",
            "\n",
            "Epoch 00788: val_loss did not improve from 0.34032\n",
            "Epoch 789/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0617 - accuracy: 0.9768 - val_loss: 0.5947 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00789: val_loss did not improve from 0.34032\n",
            "Epoch 790/800\n",
            "1/1 [==============================] - 0s 189ms/step - loss: 0.0492 - accuracy: 0.9837 - val_loss: 0.5674 - val_accuracy: 0.8663\n",
            "\n",
            "Epoch 00790: val_loss did not improve from 0.34032\n",
            "Epoch 791/800\n",
            "1/1 [==============================] - 0s 179ms/step - loss: 0.0496 - accuracy: 0.9817 - val_loss: 0.5334 - val_accuracy: 0.8733\n",
            "\n",
            "Epoch 00791: val_loss did not improve from 0.34032\n",
            "Epoch 792/800\n",
            "1/1 [==============================] - 0s 176ms/step - loss: 0.0504 - accuracy: 0.9844 - val_loss: 0.5144 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00792: val_loss did not improve from 0.34032\n",
            "Epoch 793/800\n",
            "1/1 [==============================] - 0s 180ms/step - loss: 0.0511 - accuracy: 0.9831 - val_loss: 0.5052 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00793: val_loss did not improve from 0.34032\n",
            "Epoch 794/800\n",
            "1/1 [==============================] - 0s 183ms/step - loss: 0.0563 - accuracy: 0.9813 - val_loss: 0.5134 - val_accuracy: 0.8646\n",
            "\n",
            "Epoch 00794: val_loss did not improve from 0.34032\n",
            "Epoch 795/800\n",
            "1/1 [==============================] - 0s 174ms/step - loss: 0.0550 - accuracy: 0.9837 - val_loss: 0.5282 - val_accuracy: 0.8715\n",
            "\n",
            "Epoch 00795: val_loss did not improve from 0.34032\n",
            "Epoch 796/800\n",
            "1/1 [==============================] - 0s 188ms/step - loss: 0.0489 - accuracy: 0.9799 - val_loss: 0.5403 - val_accuracy: 0.8611\n",
            "\n",
            "Epoch 00796: val_loss did not improve from 0.34032\n",
            "Epoch 797/800\n",
            "1/1 [==============================] - 0s 175ms/step - loss: 0.0483 - accuracy: 0.9841 - val_loss: 0.5288 - val_accuracy: 0.8767\n",
            "\n",
            "Epoch 00797: val_loss did not improve from 0.34032\n",
            "Epoch 798/800\n",
            "1/1 [==============================] - 0s 196ms/step - loss: 0.0525 - accuracy: 0.9803 - val_loss: 0.5285 - val_accuracy: 0.8698\n",
            "\n",
            "Epoch 00798: val_loss did not improve from 0.34032\n",
            "Epoch 799/800\n",
            "1/1 [==============================] - 0s 172ms/step - loss: 0.0456 - accuracy: 0.9834 - val_loss: 0.5116 - val_accuracy: 0.8750\n",
            "\n",
            "Epoch 00799: val_loss did not improve from 0.34032\n",
            "Epoch 800/800\n",
            "1/1 [==============================] - 0s 182ms/step - loss: 0.0501 - accuracy: 0.9820 - val_loss: 0.4982 - val_accuracy: 0.8681\n",
            "\n",
            "Epoch 00800: val_loss did not improve from 0.34032\n",
            "[+] Model trained\n",
            "0.8680555555555556\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wHD9rrCQNiTm"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}