SQUID_mio.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "authorship_tag": "ABX9TyPv38mxauUuOxUVtdn+9e+Y",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/danielsoy/ALOCC-CVPR2018/blob/master/SQUID_mio.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://github.com/danielsoy/SQUID/tree/main"
      ],
      "metadata": {
        "id": "4TudAwagfYXB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/danielsoy/SQUID.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1CLQfj9LfQMZ",
        "outputId": "4954e837-dc82-45d7-fe78-ad9387dc9533"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'SQUID'...\n",
            "remote: Enumerating objects: 311, done.\u001b[K\n",
            "remote: Counting objects: 100% (28/28), done.\u001b[K\n",
            "remote: Compressing objects: 100% (25/25), done.\u001b[K\n",
            "remote: Total 311 (delta 11), reused 4 (delta 2), pack-reused 283\u001b[K\n",
            "Receiving objects: 100% (311/311), 86.29 MiB | 19.57 MiB/s, done.\n",
            "Resolving deltas: 100% (132/132), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RUQ9OaCNfHDe",
        "outputId": "c5099b8f-c7ea-4a6b-fea9-01ac64e94c88"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd /content/SQUID/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_baRT_1egwrH",
        "outputId": "cc8a5586-660b-48a6-88a7-3c084a5d33f1"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/SQUID\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python main.py --exp zhang_exp1 --config zhang_best"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0oICdPoegzzu",
        "outputId": "e6b5a5da-8c4c-4e7c-8bf5-0464f66805c8"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1249 data loaded from: /content/drive/MyDrive/zhanglab/train\n",
            "200 data loaded from: /content/drive/MyDrive/zhanglab/val\n",
            "624 data loaded from: /content/drive/MyDrive/zhanglab/test\n",
            "SQUID ops: ['concat', 'concat', 'none', 'none']\n",
            "Masked Shortcut activated with mask ratio: 0.95\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory matrix] Gumbel Shrinkage activated with threshold: 5\n",
            "Basic discriminator created.\n",
            "Epoch: 0 [TRAIN] loss: 0.1573 recon_loss: 0.1467 g_loss: 0.0089 d_loss: 0.0012 t_recon_loss: 0.0001 dist_loss: 0.0017 [VAL] recon_l1: 0.0914\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.62 auc: 74.87 acc: 70.50 f1: 63.35 recall: 51.00 precision: 83.61 specificity: 90.00 \n",
            "save model!\n",
            "Epoch: 1 [TRAIN] loss: 0.0686 recon_loss: 0.0582 g_loss: 0.0093 d_loss: 0.0010 t_recon_loss: 0.0000 dist_loss: 0.0010 [VAL] recon_l1: 0.0911\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.72 auc: 83.84 acc: 77.00 f1: 75.53 recall: 71.00 precision: 80.68 specificity: 83.00 \n",
            "save model!\n",
            "Epoch: 2 [TRAIN] loss: 0.0619 recon_loss: 0.0507 g_loss: 0.0103 d_loss: 0.0010 t_recon_loss: 0.0000 dist_loss: 0.0009 [VAL] recon_l1: 0.0783\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.65 auc: 57.78 acc: 57.00 f1: 50.57 recall: 44.00 precision: 59.46 specificity: 70.00 \n",
            "Epoch: 3 [TRAIN] loss: 0.0589 recon_loss: 0.0481 g_loss: 0.0099 d_loss: 0.0011 t_recon_loss: 0.0000 dist_loss: 0.0008 [VAL] recon_l1: 0.0716\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.69 auc: 66.79 acc: 65.00 f1: 67.59 recall: 73.00 precision: 62.93 specificity: 57.00 \n",
            "Epoch: 4 [TRAIN] loss: 0.0568 recon_loss: 0.0457 g_loss: 0.0103 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0007 [VAL] recon_l1: 0.0709\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 70.39 acc: 67.50 f1: 65.61 recall: 62.00 precision: 69.66 specificity: 73.00 \n",
            "Epoch: 5 [TRAIN] loss: 0.0494 recon_loss: 0.0409 g_loss: 0.0078 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0006 [VAL] recon_l1: 0.0735\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 86.34 acc: 79.50 f1: 77.60 recall: 71.00 precision: 85.54 specificity: 88.00 \n",
            "save model!\n",
            "Epoch: 6 [TRAIN] loss: 0.0527 recon_loss: 0.0431 g_loss: 0.0089 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0006 [VAL] recon_l1: 0.0721\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.39 auc: 86.37 acc: 80.00 f1: 81.13 recall: 86.00 precision: 76.79 specificity: 74.00 \n",
            "save model!\n",
            "Epoch: 7 [TRAIN] loss: 0.0475 recon_loss: 0.0385 g_loss: 0.0084 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0006 [VAL] recon_l1: 0.0716\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 84.49 acc: 79.50 f1: 79.60 recall: 80.00 precision: 79.21 specificity: 79.00 \n",
            "Epoch: 8 [TRAIN] loss: 0.0538 recon_loss: 0.0449 g_loss: 0.0082 d_loss: 0.0013 t_recon_loss: 0.0000 dist_loss: 0.0006 [VAL] recon_l1: 0.0715\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.73 auc: 83.58 acc: 77.50 f1: 77.16 recall: 76.00 precision: 78.35 specificity: 79.00 \n",
            "Epoch: 9 [TRAIN] loss: 0.0469 recon_loss: 0.0394 g_loss: 0.0070 d_loss: 0.0031 t_recon_loss: 0.0000 dist_loss: 0.0005 [VAL] recon_l1: 0.0985\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.63 auc: 83.11 acc: 78.50 f1: 74.56 recall: 63.00 precision: 91.30 specificity: 94.00 \n",
            "Epoch: 10 [TRAIN] loss: 0.0439 recon_loss: 0.0367 g_loss: 0.0066 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0005 [VAL] recon_l1: 0.0887\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 83.50 acc: 77.50 f1: 75.94 recall: 71.00 precision: 81.61 specificity: 84.00 \n",
            "Epoch: 11 [TRAIN] loss: 0.0448 recon_loss: 0.0374 g_loss: 0.0069 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0005 [VAL] recon_l1: 0.0693\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.69 auc: 84.33 acc: 78.50 f1: 76.76 recall: 71.00 precision: 83.53 specificity: 86.00 \n",
            "Epoch: 12 [TRAIN] loss: 0.0428 recon_loss: 0.0352 g_loss: 0.0072 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0005 [VAL] recon_l1: 0.0771\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 82.04 acc: 76.00 f1: 77.36 recall: 82.00 precision: 73.21 specificity: 70.00 \n",
            "Epoch: 13 [TRAIN] loss: 0.0419 recon_loss: 0.0343 g_loss: 0.0072 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0714\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 87.30 acc: 82.50 f1: 83.09 recall: 86.00 precision: 80.37 specificity: 79.00 \n",
            "save model!\n",
            "Epoch: 14 [TRAIN] loss: 0.0437 recon_loss: 0.0369 g_loss: 0.0064 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.1052\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.44 auc: 83.65 acc: 77.00 f1: 78.10 recall: 82.00 precision: 74.55 specificity: 72.00 \n",
            "Epoch: 15 [TRAIN] loss: 0.0449 recon_loss: 0.0364 g_loss: 0.0081 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0699\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 88.98 acc: 84.00 f1: 82.80 recall: 77.00 precision: 89.53 specificity: 91.00 \n",
            "save model!\n",
            "Epoch: 16 [TRAIN] loss: 0.0400 recon_loss: 0.0320 g_loss: 0.0076 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0710\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 87.47 acc: 82.50 f1: 81.68 recall: 78.00 precision: 85.71 specificity: 87.00 \n",
            "Epoch: 17 [TRAIN] loss: 0.0444 recon_loss: 0.0349 g_loss: 0.0092 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0910\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.40 auc: 84.94 acc: 79.50 f1: 77.09 recall: 69.00 precision: 87.34 specificity: 90.00 \n",
            "Epoch: 18 [TRAIN] loss: 0.0424 recon_loss: 0.0321 g_loss: 0.0098 d_loss: 0.0014 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0734\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.33 auc: 77.29 acc: 72.00 f1: 66.67 recall: 56.00 precision: 82.35 specificity: 88.00 \n",
            "Epoch: 19 [TRAIN] loss: 0.0362 recon_loss: 0.0298 g_loss: 0.0060 d_loss: 0.0036 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0683\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 88.22 acc: 80.00 f1: 77.27 recall: 68.00 precision: 89.47 specificity: 92.00 \n",
            "Epoch: 20 [TRAIN] loss: 0.0360 recon_loss: 0.0289 g_loss: 0.0067 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0832\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.35 auc: 83.81 acc: 79.00 f1: 78.57 recall: 77.00 precision: 80.21 specificity: 81.00 \n",
            "Epoch: 21 [TRAIN] loss: 0.0380 recon_loss: 0.0307 g_loss: 0.0069 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0887\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 86.00 acc: 78.50 f1: 76.50 recall: 70.00 precision: 84.34 specificity: 87.00 \n",
            "Epoch: 22 [TRAIN] loss: 0.0367 recon_loss: 0.0297 g_loss: 0.0065 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0968\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.26 auc: 68.08 acc: 66.50 f1: 74.33 recall: 97.00 precision: 60.25 specificity: 36.00 \n",
            "Epoch: 23 [TRAIN] loss: 0.0398 recon_loss: 0.0312 g_loss: 0.0082 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0692\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.45 auc: 85.25 acc: 80.00 f1: 80.95 recall: 85.00 precision: 77.27 specificity: 75.00 \n",
            "Epoch: 24 [TRAIN] loss: 0.0403 recon_loss: 0.0316 g_loss: 0.0083 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0685\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.61 auc: 82.78 acc: 77.00 f1: 73.56 recall: 64.00 precision: 86.49 specificity: 90.00 \n",
            "Epoch: 25 [TRAIN] loss: 0.0394 recon_loss: 0.0305 g_loss: 0.0085 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0728\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.44 auc: 85.13 acc: 81.50 f1: 81.77 recall: 83.00 precision: 80.58 specificity: 80.00 \n",
            "Epoch: 26 [TRAIN] loss: 0.0372 recon_loss: 0.0297 g_loss: 0.0071 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0665\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 78.62 acc: 74.00 f1: 74.51 recall: 76.00 precision: 73.08 specificity: 72.00 \n",
            "Epoch: 27 [TRAIN] loss: 0.0364 recon_loss: 0.0287 g_loss: 0.0073 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0735\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 83.18 acc: 78.00 f1: 78.43 recall: 80.00 precision: 76.92 specificity: 76.00 \n",
            "Epoch: 28 [TRAIN] loss: 0.0359 recon_loss: 0.0284 g_loss: 0.0071 d_loss: 0.0032 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0702\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 81.91 acc: 76.50 f1: 75.65 recall: 73.00 precision: 78.49 specificity: 80.00 \n",
            "Epoch: 29 [TRAIN] loss: 0.0327 recon_loss: 0.0266 g_loss: 0.0058 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0617\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.46 auc: 85.38 acc: 80.00 f1: 79.17 recall: 76.00 precision: 82.61 specificity: 84.00 \n",
            "Epoch: 30 [TRAIN] loss: 0.0347 recon_loss: 0.0278 g_loss: 0.0066 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0897\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.49 auc: 79.73 acc: 74.50 f1: 73.02 recall: 69.00 precision: 77.53 specificity: 80.00 \n",
            "Epoch: 31 [TRAIN] loss: 0.0345 recon_loss: 0.0275 g_loss: 0.0066 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0726\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 66.98 acc: 64.50 f1: 67.87 recall: 75.00 precision: 61.98 specificity: 54.00 \n",
            "Epoch: 32 [TRAIN] loss: 0.0385 recon_loss: 0.0315 g_loss: 0.0067 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0782\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 75.44 acc: 72.00 f1: 70.21 recall: 66.00 precision: 75.00 specificity: 78.00 \n",
            "Epoch: 33 [TRAIN] loss: 0.0378 recon_loss: 0.0304 g_loss: 0.0070 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0826\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 62.92 acc: 62.00 f1: 54.22 recall: 45.00 precision: 68.18 specificity: 79.00 \n",
            "Epoch: 34 [TRAIN] loss: 0.0365 recon_loss: 0.0278 g_loss: 0.0084 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0663\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 70.00 acc: 68.00 f1: 56.76 recall: 42.00 precision: 87.50 specificity: 94.00 \n",
            "Epoch: 35 [TRAIN] loss: 0.0365 recon_loss: 0.0271 g_loss: 0.0091 d_loss: 0.0011 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0780\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 86.25 acc: 81.50 f1: 80.63 recall: 77.00 precision: 84.62 specificity: 86.00 \n",
            "Epoch: 36 [TRAIN] loss: 0.0367 recon_loss: 0.0276 g_loss: 0.0088 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0707\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.49 auc: 90.91 acc: 87.00 f1: 87.38 recall: 90.00 precision: 84.91 specificity: 84.00 \n",
            "save model!\n",
            "Epoch: 37 [TRAIN] loss: 0.0348 recon_loss: 0.0263 g_loss: 0.0082 d_loss: 0.0014 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0619\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.41 auc: 87.13 acc: 81.00 f1: 81.90 recall: 86.00 precision: 78.18 specificity: 76.00 \n",
            "Epoch: 38 [TRAIN] loss: 0.0371 recon_loss: 0.0275 g_loss: 0.0093 d_loss: 0.0013 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0964\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.65 auc: 56.24 acc: 59.50 f1: 48.41 recall: 38.00 precision: 66.67 specificity: 81.00 \n",
            "Epoch: 39 [TRAIN] loss: 0.0353 recon_loss: 0.0270 g_loss: 0.0080 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0658\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.32 auc: 84.43 acc: 79.50 f1: 78.97 recall: 77.00 precision: 81.05 specificity: 82.00 \n",
            "Epoch: 40 [TRAIN] loss: 0.0339 recon_loss: 0.0256 g_loss: 0.0080 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0631\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.40 auc: 83.52 acc: 78.50 f1: 78.17 recall: 77.00 precision: 79.38 specificity: 80.00 \n",
            "Epoch: 41 [TRAIN] loss: 0.0332 recon_loss: 0.0243 g_loss: 0.0085 d_loss: 0.0010 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0644\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.44 auc: 83.34 acc: 77.00 f1: 75.00 recall: 69.00 precision: 82.14 specificity: 85.00 \n",
            "Epoch: 42 [TRAIN] loss: 0.0363 recon_loss: 0.0262 g_loss: 0.0097 d_loss: 0.0012 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0736\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.35 auc: 79.27 acc: 72.50 f1: 72.64 recall: 73.00 precision: 72.28 specificity: 72.00 \n",
            "Epoch: 43 [TRAIN] loss: 0.0335 recon_loss: 0.0249 g_loss: 0.0082 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0700\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.46 auc: 81.73 acc: 74.50 f1: 74.37 recall: 74.00 precision: 74.75 specificity: 75.00 \n",
            "Epoch: 44 [TRAIN] loss: 0.0314 recon_loss: 0.0248 g_loss: 0.0063 d_loss: 0.0036 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0667\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.49 auc: 59.88 acc: 63.50 f1: 60.11 recall: 55.00 precision: 66.27 specificity: 72.00 \n",
            "Epoch: 45 [TRAIN] loss: 0.0308 recon_loss: 0.0244 g_loss: 0.0061 d_loss: 0.0035 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0654\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.63 auc: 77.64 acc: 73.00 f1: 70.65 recall: 65.00 precision: 77.38 specificity: 81.00 \n",
            "Epoch: 46 [TRAIN] loss: 0.0295 recon_loss: 0.0239 g_loss: 0.0054 d_loss: 0.0033 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0609\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 76.69 acc: 73.50 f1: 70.39 recall: 63.00 precision: 79.75 specificity: 84.00 \n",
            "Epoch: 47 [TRAIN] loss: 0.0290 recon_loss: 0.0230 g_loss: 0.0057 d_loss: 0.0034 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0627\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.45 auc: 83.63 acc: 79.50 f1: 79.60 recall: 80.00 precision: 79.21 specificity: 79.00 \n",
            "Epoch: 48 [TRAIN] loss: 0.0296 recon_loss: 0.0236 g_loss: 0.0057 d_loss: 0.0027 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0700\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 82.81 acc: 78.00 f1: 75.00 recall: 66.00 precision: 86.84 specificity: 90.00 \n",
            "Epoch: 49 [TRAIN] loss: 0.0293 recon_loss: 0.0237 g_loss: 0.0053 d_loss: 0.0032 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0648\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 78.19 acc: 72.50 f1: 68.57 recall: 60.00 precision: 80.00 specificity: 85.00 \n",
            "Epoch: 50 [TRAIN] loss: 0.0307 recon_loss: 0.0247 g_loss: 0.0056 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0948\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.47 auc: 75.93 acc: 71.00 f1: 69.47 recall: 66.00 precision: 73.33 specificity: 76.00 \n",
            "Epoch: 51 [TRAIN] loss: 0.0312 recon_loss: 0.0248 g_loss: 0.0060 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0693\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 80.48 acc: 75.50 f1: 75.38 recall: 75.00 precision: 75.76 specificity: 76.00 \n",
            "Epoch: 52 [TRAIN] loss: 0.0310 recon_loss: 0.0244 g_loss: 0.0062 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0884\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.38 auc: 51.75 acc: 56.00 f1: 66.41 recall: 87.00 precision: 53.70 specificity: 25.00 \n",
            "Epoch: 53 [TRAIN] loss: 0.0328 recon_loss: 0.0267 g_loss: 0.0057 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0898\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.43 auc: 77.15 acc: 71.50 f1: 71.36 recall: 71.00 precision: 71.72 specificity: 72.00 \n",
            "Epoch: 54 [TRAIN] loss: 0.0318 recon_loss: 0.0255 g_loss: 0.0060 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0629\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 85.42 acc: 78.00 f1: 77.08 recall: 74.00 precision: 80.43 specificity: 82.00 \n",
            "Epoch: 55 [TRAIN] loss: 0.0299 recon_loss: 0.0238 g_loss: 0.0058 d_loss: 0.0030 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0622\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.68 auc: 85.53 acc: 81.00 f1: 80.61 recall: 79.00 precision: 82.29 specificity: 83.00 \n",
            "Epoch: 56 [TRAIN] loss: 0.0301 recon_loss: 0.0245 g_loss: 0.0053 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0660\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 83.35 acc: 79.00 f1: 77.66 recall: 73.00 precision: 82.95 specificity: 85.00 \n",
            "Epoch: 57 [TRAIN] loss: 0.0302 recon_loss: 0.0236 g_loss: 0.0063 d_loss: 0.0031 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0712\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.63 auc: 87.04 acc: 80.00 f1: 79.17 recall: 76.00 precision: 82.61 specificity: 84.00 \n",
            "Epoch: 58 [TRAIN] loss: 0.0310 recon_loss: 0.0251 g_loss: 0.0055 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0794\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.63 auc: 78.10 acc: 73.50 f1: 68.26 recall: 57.00 precision: 85.07 specificity: 90.00 \n",
            "Epoch: 59 [TRAIN] loss: 0.0328 recon_loss: 0.0264 g_loss: 0.0061 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0972\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.30 auc: 82.91 acc: 78.00 f1: 79.05 recall: 83.00 precision: 75.45 specificity: 73.00 \n",
            "Epoch: 60 [TRAIN] loss: 0.0334 recon_loss: 0.0267 g_loss: 0.0064 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0653\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 65.12 acc: 62.50 f1: 53.42 recall: 43.00 precision: 70.49 specificity: 82.00 \n",
            "Epoch: 61 [TRAIN] loss: 0.0323 recon_loss: 0.0250 g_loss: 0.0070 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0661\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.45 auc: 72.42 acc: 69.50 f1: 69.95 recall: 71.00 precision: 68.93 specificity: 68.00 \n",
            "Epoch: 62 [TRAIN] loss: 0.0307 recon_loss: 0.0236 g_loss: 0.0068 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0636\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 75.07 acc: 72.00 f1: 69.89 recall: 65.00 precision: 75.58 specificity: 79.00 \n",
            "Epoch: 63 [TRAIN] loss: 0.0291 recon_loss: 0.0224 g_loss: 0.0064 d_loss: 0.0033 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0624\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 78.37 acc: 73.50 f1: 67.48 recall: 55.00 precision: 87.30 specificity: 92.00 \n",
            "Epoch: 64 [TRAIN] loss: 0.0316 recon_loss: 0.0249 g_loss: 0.0064 d_loss: 0.0030 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.1416\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 72.22 acc: 69.50 f1: 68.72 recall: 67.00 precision: 70.53 specificity: 72.00 \n",
            "Epoch: 65 [TRAIN] loss: 0.0326 recon_loss: 0.0258 g_loss: 0.0065 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.1213\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 75.76 acc: 71.00 f1: 72.90 recall: 78.00 precision: 68.42 specificity: 64.00 \n",
            "Epoch: 66 [TRAIN] loss: 0.0338 recon_loss: 0.0270 g_loss: 0.0065 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0692\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.43 auc: 81.52 acc: 76.00 f1: 73.63 recall: 67.00 precision: 81.71 specificity: 85.00 \n",
            "Epoch: 67 [TRAIN] loss: 0.0360 recon_loss: 0.0273 g_loss: 0.0083 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0899\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 73.65 acc: 69.50 f1: 68.06 recall: 65.00 precision: 71.43 specificity: 74.00 \n",
            "Epoch: 68 [TRAIN] loss: 0.0366 recon_loss: 0.0275 g_loss: 0.0088 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0659\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 82.55 acc: 77.50 f1: 74.58 recall: 66.00 precision: 85.71 specificity: 89.00 \n",
            "Epoch: 69 [TRAIN] loss: 0.0346 recon_loss: 0.0258 g_loss: 0.0085 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0701\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.45 auc: 85.33 acc: 82.00 f1: 82.35 recall: 84.00 precision: 80.77 specificity: 80.00 \n",
            "Epoch: 70 [TRAIN] loss: 0.0335 recon_loss: 0.0267 g_loss: 0.0065 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0852\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.46 auc: 75.82 acc: 73.00 f1: 73.27 recall: 74.00 precision: 72.55 specificity: 72.00 \n",
            "Epoch: 71 [TRAIN] loss: 0.0377 recon_loss: 0.0287 g_loss: 0.0086 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0004 [VAL] recon_l1: 0.0666\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 81.32 acc: 75.00 f1: 72.83 recall: 67.00 precision: 79.76 specificity: 83.00 \n",
            "Epoch: 72 [TRAIN] loss: 0.0397 recon_loss: 0.0296 g_loss: 0.0098 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0925\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.61 auc: 71.80 acc: 67.00 f1: 67.96 recall: 70.00 precision: 66.04 specificity: 64.00 \n",
            "Epoch: 73 [TRAIN] loss: 0.0358 recon_loss: 0.0266 g_loss: 0.0089 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0692\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.39 auc: 84.53 acc: 79.50 f1: 77.84 recall: 72.00 precision: 84.71 specificity: 87.00 \n",
            "Epoch: 74 [TRAIN] loss: 0.0369 recon_loss: 0.0262 g_loss: 0.0105 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0776\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.33 auc: 85.72 acc: 78.50 f1: 77.01 recall: 72.00 precision: 82.76 specificity: 85.00 \n",
            "Epoch: 75 [TRAIN] loss: 0.0340 recon_loss: 0.0248 g_loss: 0.0089 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0674\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 82.14 acc: 79.00 f1: 76.67 recall: 69.00 precision: 86.25 specificity: 89.00 \n",
            "Epoch: 76 [TRAIN] loss: 0.0309 recon_loss: 0.0232 g_loss: 0.0074 d_loss: 0.0031 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0635\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.43 auc: 72.77 acc: 70.00 f1: 68.09 recall: 64.00 precision: 72.73 specificity: 76.00 \n",
            "Epoch: 77 [TRAIN] loss: 0.0287 recon_loss: 0.0228 g_loss: 0.0056 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0690\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.32 auc: 75.57 acc: 71.00 f1: 73.64 recall: 81.00 precision: 67.50 specificity: 61.00 \n",
            "Epoch: 78 [TRAIN] loss: 0.0288 recon_loss: 0.0219 g_loss: 0.0066 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0745\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.38 auc: 73.30 acc: 69.50 f1: 67.72 recall: 64.00 precision: 71.91 specificity: 75.00 \n",
            "Epoch: 79 [TRAIN] loss: 0.0312 recon_loss: 0.0235 g_loss: 0.0073 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0674\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.49 auc: 80.70 acc: 75.00 f1: 73.12 recall: 68.00 precision: 79.07 specificity: 82.00 \n",
            "Epoch: 80 [TRAIN] loss: 0.0310 recon_loss: 0.0237 g_loss: 0.0070 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0753\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 84.82 acc: 79.50 f1: 77.09 recall: 69.00 precision: 87.34 specificity: 90.00 \n",
            "Epoch: 81 [TRAIN] loss: 0.0313 recon_loss: 0.0245 g_loss: 0.0065 d_loss: 0.0030 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0973\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 69.18 acc: 66.50 f1: 67.94 recall: 71.00 precision: 65.14 specificity: 62.00 \n",
            "Epoch: 82 [TRAIN] loss: 0.0321 recon_loss: 0.0240 g_loss: 0.0078 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0658\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 86.22 acc: 82.50 f1: 81.48 recall: 77.00 precision: 86.52 specificity: 88.00 \n",
            "Epoch: 83 [TRAIN] loss: 0.0284 recon_loss: 0.0214 g_loss: 0.0067 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0656\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 90.35 acc: 86.00 f1: 85.71 recall: 84.00 precision: 87.50 specificity: 88.00 \n",
            "Epoch: 84 [TRAIN] loss: 0.0310 recon_loss: 0.0235 g_loss: 0.0073 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0690\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 82.27 acc: 77.00 f1: 75.27 recall: 70.00 precision: 81.40 specificity: 84.00 \n",
            "Epoch: 85 [TRAIN] loss: 0.0301 recon_loss: 0.0222 g_loss: 0.0076 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0704\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 91.03 acc: 86.00 f1: 86.14 recall: 87.00 precision: 85.29 specificity: 85.00 \n",
            "save model!\n",
            "Epoch: 86 [TRAIN] loss: 0.0292 recon_loss: 0.0216 g_loss: 0.0074 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0647\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 88.93 acc: 82.00 f1: 80.43 recall: 74.00 precision: 88.10 specificity: 90.00 \n",
            "Epoch: 87 [TRAIN] loss: 0.0298 recon_loss: 0.0222 g_loss: 0.0073 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0728\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 79.89 acc: 73.50 f1: 69.36 recall: 60.00 precision: 82.19 specificity: 87.00 \n",
            "Epoch: 88 [TRAIN] loss: 0.0299 recon_loss: 0.0225 g_loss: 0.0071 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0671\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 76.68 acc: 73.50 f1: 74.40 recall: 77.00 precision: 71.96 specificity: 70.00 \n",
            "Epoch: 89 [TRAIN] loss: 0.0304 recon_loss: 0.0229 g_loss: 0.0072 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0864\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 83.43 acc: 78.50 f1: 80.18 recall: 87.00 precision: 74.36 specificity: 70.00 \n",
            "Epoch: 90 [TRAIN] loss: 0.0338 recon_loss: 0.0262 g_loss: 0.0073 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0782\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.43 auc: 73.71 acc: 72.00 f1: 72.00 recall: 72.00 precision: 72.00 specificity: 72.00 \n",
            "Epoch: 91 [TRAIN] loss: 0.0329 recon_loss: 0.0247 g_loss: 0.0080 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0673\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.44 auc: 87.53 acc: 84.00 f1: 84.47 recall: 87.00 precision: 82.08 specificity: 81.00 \n",
            "Epoch: 92 [TRAIN] loss: 0.0324 recon_loss: 0.0241 g_loss: 0.0080 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0696\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.40 auc: 88.43 acc: 82.50 f1: 81.87 recall: 79.00 precision: 84.95 specificity: 86.00 \n",
            "Epoch: 93 [TRAIN] loss: 0.0324 recon_loss: 0.0239 g_loss: 0.0082 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0988\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.63 auc: 90.46 acc: 86.00 f1: 85.86 recall: 85.00 precision: 86.73 specificity: 87.00 \n",
            "Epoch: 94 [TRAIN] loss: 0.0334 recon_loss: 0.0254 g_loss: 0.0078 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0870\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 78.43 acc: 75.50 f1: 74.61 recall: 72.00 precision: 77.42 specificity: 79.00 \n",
            "Epoch: 95 [TRAIN] loss: 0.0319 recon_loss: 0.0241 g_loss: 0.0075 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0711\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.35 auc: 86.77 acc: 80.50 f1: 82.19 recall: 90.00 precision: 75.63 specificity: 71.00 \n",
            "Epoch: 96 [TRAIN] loss: 0.0292 recon_loss: 0.0226 g_loss: 0.0063 d_loss: 0.0031 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0687\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 87.28 acc: 85.50 f1: 86.12 recall: 90.00 precision: 82.57 specificity: 81.00 \n",
            "Epoch: 97 [TRAIN] loss: 0.0303 recon_loss: 0.0240 g_loss: 0.0061 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0952\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.40 auc: 88.35 acc: 82.50 f1: 83.87 recall: 91.00 precision: 77.78 specificity: 74.00 \n",
            "Epoch: 98 [TRAIN] loss: 0.0280 recon_loss: 0.0216 g_loss: 0.0062 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0669\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 85.77 acc: 81.50 f1: 81.41 recall: 81.00 precision: 81.82 specificity: 82.00 \n",
            "Epoch: 99 [TRAIN] loss: 0.0286 recon_loss: 0.0218 g_loss: 0.0066 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0621\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 85.81 acc: 81.00 f1: 81.00 recall: 81.00 precision: 81.00 specificity: 81.00 \n",
            "Epoch: 100 [TRAIN] loss: 0.0277 recon_loss: 0.0217 g_loss: 0.0057 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0669\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 87.25 acc: 81.00 f1: 78.65 recall: 70.00 precision: 89.74 specificity: 92.00 \n",
            "Epoch: 101 [TRAIN] loss: 0.0265 recon_loss: 0.0203 g_loss: 0.0059 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0638\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.47 auc: 74.28 acc: 70.00 f1: 68.75 recall: 66.00 precision: 71.74 specificity: 74.00 \n",
            "Epoch: 102 [TRAIN] loss: 0.0269 recon_loss: 0.0209 g_loss: 0.0057 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0633\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.43 auc: 87.94 acc: 80.00 f1: 80.00 recall: 80.00 precision: 80.00 specificity: 80.00 \n",
            "Epoch: 103 [TRAIN] loss: 0.0262 recon_loss: 0.0203 g_loss: 0.0056 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0615\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 90.26 acc: 84.50 f1: 83.94 recall: 81.00 precision: 87.10 specificity: 88.00 \n",
            "Epoch: 104 [TRAIN] loss: 0.0278 recon_loss: 0.0212 g_loss: 0.0063 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0845\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.50 auc: 87.50 acc: 80.00 f1: 78.95 recall: 75.00 precision: 83.33 specificity: 85.00 \n",
            "Epoch: 105 [TRAIN] loss: 0.0319 recon_loss: 0.0250 g_loss: 0.0067 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0684\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 83.36 acc: 77.50 f1: 77.83 recall: 79.00 precision: 76.70 specificity: 76.00 \n",
            "Epoch: 106 [TRAIN] loss: 0.0322 recon_loss: 0.0243 g_loss: 0.0075 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0761\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.44 auc: 84.32 acc: 78.50 f1: 77.49 recall: 74.00 precision: 81.32 specificity: 83.00 \n",
            "Epoch: 107 [TRAIN] loss: 0.0296 recon_loss: 0.0226 g_loss: 0.0066 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0648\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 91.67 acc: 86.50 f1: 85.86 recall: 82.00 precision: 90.11 specificity: 91.00 \n",
            "save model!\n",
            "Epoch: 108 [TRAIN] loss: 0.0295 recon_loss: 0.0228 g_loss: 0.0064 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0636\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 88.87 acc: 85.00 f1: 84.85 recall: 84.00 precision: 85.71 specificity: 86.00 \n",
            "Epoch: 109 [TRAIN] loss: 0.0311 recon_loss: 0.0227 g_loss: 0.0082 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0637\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.47 auc: 92.62 acc: 88.50 f1: 88.89 recall: 92.00 precision: 85.98 specificity: 85.00 \n",
            "save model!\n",
            "Epoch: 110 [TRAIN] loss: 0.0307 recon_loss: 0.0227 g_loss: 0.0078 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0861\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 73.66 acc: 70.00 f1: 71.15 recall: 74.00 precision: 68.52 specificity: 66.00 \n",
            "Epoch: 111 [TRAIN] loss: 0.0347 recon_loss: 0.0249 g_loss: 0.0095 d_loss: 0.0009 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0672\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 84.82 acc: 80.00 f1: 78.02 recall: 71.00 precision: 86.59 specificity: 89.00 \n",
            "Epoch: 112 [TRAIN] loss: 0.0323 recon_loss: 0.0231 g_loss: 0.0089 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0664\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.66 auc: 90.26 acc: 82.50 f1: 82.59 recall: 83.00 precision: 82.18 specificity: 82.00 \n",
            "Epoch: 113 [TRAIN] loss: 0.0334 recon_loss: 0.0246 g_loss: 0.0085 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0663\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 82.56 acc: 79.00 f1: 79.81 recall: 83.00 precision: 76.85 specificity: 75.00 \n",
            "Epoch: 114 [TRAIN] loss: 0.0319 recon_loss: 0.0237 g_loss: 0.0079 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0634\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.65 auc: 91.28 acc: 86.00 f1: 84.95 recall: 79.00 precision: 91.86 specificity: 93.00 \n",
            "Epoch: 115 [TRAIN] loss: 0.0310 recon_loss: 0.0230 g_loss: 0.0077 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0697\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 90.51 acc: 87.00 f1: 87.13 recall: 88.00 precision: 86.27 specificity: 86.00 \n",
            "Epoch: 116 [TRAIN] loss: 0.0316 recon_loss: 0.0236 g_loss: 0.0077 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0652\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 82.48 acc: 75.00 f1: 73.68 recall: 70.00 precision: 77.78 specificity: 80.00 \n",
            "Epoch: 117 [TRAIN] loss: 0.0313 recon_loss: 0.0242 g_loss: 0.0069 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0695\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.39 auc: 68.14 acc: 64.00 f1: 70.00 recall: 84.00 precision: 60.00 specificity: 44.00 \n",
            "Epoch: 118 [TRAIN] loss: 0.0311 recon_loss: 0.0243 g_loss: 0.0065 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0688\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.56 auc: 81.09 acc: 76.50 f1: 75.90 recall: 74.00 precision: 77.89 specificity: 79.00 \n",
            "Epoch: 119 [TRAIN] loss: 0.0319 recon_loss: 0.0243 g_loss: 0.0073 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0668\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.44 auc: 80.27 acc: 76.50 f1: 76.85 recall: 78.00 precision: 75.73 specificity: 75.00 \n",
            "Epoch: 120 [TRAIN] loss: 0.0318 recon_loss: 0.0245 g_loss: 0.0070 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0672\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.67 auc: 86.98 acc: 80.50 f1: 79.58 recall: 76.00 precision: 83.52 specificity: 85.00 \n",
            "Epoch: 121 [TRAIN] loss: 0.0302 recon_loss: 0.0235 g_loss: 0.0064 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0672\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.50 auc: 83.00 acc: 81.00 f1: 79.57 recall: 74.00 precision: 86.05 specificity: 88.00 \n",
            "Epoch: 122 [TRAIN] loss: 0.0320 recon_loss: 0.0238 g_loss: 0.0079 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0629\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.46 auc: 78.53 acc: 76.00 f1: 76.70 recall: 79.00 precision: 74.53 specificity: 73.00 \n",
            "Epoch: 123 [TRAIN] loss: 0.0305 recon_loss: 0.0232 g_loss: 0.0070 d_loss: 0.0027 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0681\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 84.47 acc: 78.50 f1: 77.01 recall: 72.00 precision: 82.76 specificity: 85.00 \n",
            "Epoch: 124 [TRAIN] loss: 0.0316 recon_loss: 0.0241 g_loss: 0.0072 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0734\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 81.57 acc: 76.50 f1: 74.87 recall: 70.00 precision: 80.46 specificity: 83.00 \n",
            "Epoch: 125 [TRAIN] loss: 0.0324 recon_loss: 0.0248 g_loss: 0.0074 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0686\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 85.65 acc: 80.50 f1: 80.40 recall: 80.00 precision: 80.81 specificity: 81.00 \n",
            "Epoch: 126 [TRAIN] loss: 0.0307 recon_loss: 0.0237 g_loss: 0.0067 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0638\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 91.25 acc: 88.50 f1: 88.56 recall: 89.00 precision: 88.12 specificity: 88.00 \n",
            "Epoch: 127 [TRAIN] loss: 0.0313 recon_loss: 0.0237 g_loss: 0.0073 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0725\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 89.06 acc: 81.50 f1: 81.77 recall: 83.00 precision: 80.58 specificity: 80.00 \n",
            "Epoch: 128 [TRAIN] loss: 0.0316 recon_loss: 0.0241 g_loss: 0.0072 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0680\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.47 auc: 75.49 acc: 72.50 f1: 75.56 recall: 85.00 precision: 68.00 specificity: 60.00 \n",
            "Epoch: 129 [TRAIN] loss: 0.0336 recon_loss: 0.0259 g_loss: 0.0074 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0652\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 80.90 acc: 77.50 f1: 75.68 recall: 70.00 precision: 82.35 specificity: 85.00 \n",
            "Epoch: 130 [TRAIN] loss: 0.0297 recon_loss: 0.0227 g_loss: 0.0068 d_loss: 0.0033 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0846\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 67.51 acc: 65.50 f1: 71.84 recall: 88.00 precision: 60.69 specificity: 43.00 \n",
            "Epoch: 131 [TRAIN] loss: 0.0292 recon_loss: 0.0216 g_loss: 0.0074 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0624\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 75.43 acc: 73.00 f1: 73.79 recall: 76.00 precision: 71.70 specificity: 70.00 \n",
            "Epoch: 132 [TRAIN] loss: 0.0283 recon_loss: 0.0203 g_loss: 0.0077 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0641\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.38 auc: 67.14 acc: 64.00 f1: 70.00 recall: 84.00 precision: 60.00 specificity: 44.00 \n",
            "Epoch: 133 [TRAIN] loss: 0.0291 recon_loss: 0.0215 g_loss: 0.0073 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0624\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.67 auc: 87.29 acc: 84.00 f1: 84.76 recall: 89.00 precision: 80.91 specificity: 79.00 \n",
            "Epoch: 134 [TRAIN] loss: 0.0300 recon_loss: 0.0223 g_loss: 0.0074 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0779\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 77.56 acc: 72.50 f1: 68.93 recall: 61.00 precision: 79.22 specificity: 84.00 \n",
            "Epoch: 135 [TRAIN] loss: 0.0281 recon_loss: 0.0204 g_loss: 0.0074 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0642\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 80.72 acc: 76.00 f1: 78.18 recall: 86.00 precision: 71.67 specificity: 66.00 \n",
            "Epoch: 136 [TRAIN] loss: 0.0277 recon_loss: 0.0209 g_loss: 0.0065 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0637\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.41 auc: 77.68 acc: 75.00 f1: 75.96 recall: 79.00 precision: 73.15 specificity: 71.00 \n",
            "Epoch: 137 [TRAIN] loss: 0.0284 recon_loss: 0.0210 g_loss: 0.0072 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0606\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 86.06 acc: 82.50 f1: 82.93 recall: 85.00 precision: 80.95 specificity: 80.00 \n",
            "Epoch: 138 [TRAIN] loss: 0.0274 recon_loss: 0.0204 g_loss: 0.0068 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0613\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 83.11 acc: 78.50 f1: 75.71 recall: 67.00 precision: 87.01 specificity: 90.00 \n",
            "Epoch: 139 [TRAIN] loss: 0.0277 recon_loss: 0.0206 g_loss: 0.0068 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0729\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.64 auc: 89.22 acc: 85.00 f1: 85.00 recall: 85.00 precision: 85.00 specificity: 85.00 \n",
            "Epoch: 140 [TRAIN] loss: 0.0277 recon_loss: 0.0197 g_loss: 0.0077 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0603\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.56 auc: 93.82 acc: 89.00 f1: 88.66 recall: 86.00 precision: 91.49 specificity: 92.00 \n",
            "save model!\n",
            "Epoch: 141 [TRAIN] loss: 0.0272 recon_loss: 0.0199 g_loss: 0.0071 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0641\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 84.64 acc: 80.00 f1: 81.13 recall: 86.00 precision: 76.79 specificity: 74.00 \n",
            "Epoch: 142 [TRAIN] loss: 0.0270 recon_loss: 0.0195 g_loss: 0.0072 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0616\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 70.05 acc: 67.00 f1: 67.33 recall: 68.00 precision: 66.67 specificity: 66.00 \n",
            "Epoch: 143 [TRAIN] loss: 0.0271 recon_loss: 0.0198 g_loss: 0.0070 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0755\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.72 auc: 75.07 acc: 70.50 f1: 66.29 recall: 58.00 precision: 77.33 specificity: 83.00 \n",
            "Epoch: 144 [TRAIN] loss: 0.0278 recon_loss: 0.0199 g_loss: 0.0076 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.1211\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.49 auc: 67.06 acc: 65.00 f1: 64.29 recall: 63.00 precision: 65.62 specificity: 67.00 \n",
            "Epoch: 145 [TRAIN] loss: 0.0275 recon_loss: 0.0202 g_loss: 0.0070 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0625\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 79.07 acc: 73.00 f1: 76.52 recall: 88.00 precision: 67.69 specificity: 58.00 \n",
            "Epoch: 146 [TRAIN] loss: 0.0280 recon_loss: 0.0205 g_loss: 0.0072 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0677\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.55 auc: 83.74 acc: 79.50 f1: 78.76 recall: 76.00 precision: 81.72 specificity: 83.00 \n",
            "Epoch: 147 [TRAIN] loss: 0.0269 recon_loss: 0.0202 g_loss: 0.0065 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0638\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.73 auc: 83.82 acc: 79.00 f1: 78.35 recall: 76.00 precision: 80.85 specificity: 82.00 \n",
            "Epoch: 148 [TRAIN] loss: 0.0267 recon_loss: 0.0194 g_loss: 0.0070 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0615\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 84.19 acc: 79.50 f1: 80.19 recall: 83.00 precision: 77.57 specificity: 76.00 \n",
            "Epoch: 149 [TRAIN] loss: 0.0270 recon_loss: 0.0192 g_loss: 0.0076 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0619\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.41 auc: 83.45 acc: 80.00 f1: 81.48 recall: 88.00 precision: 75.86 specificity: 72.00 \n",
            "Epoch: 150 [TRAIN] loss: 0.0269 recon_loss: 0.0197 g_loss: 0.0070 d_loss: 0.0028 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0618\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 78.06 acc: 73.50 f1: 75.80 recall: 83.00 precision: 69.75 specificity: 64.00 \n",
            "Epoch: 151 [TRAIN] loss: 0.0272 recon_loss: 0.0202 g_loss: 0.0067 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0625\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.50 auc: 87.68 acc: 85.00 f1: 84.21 recall: 80.00 precision: 88.89 specificity: 90.00 \n",
            "Epoch: 152 [TRAIN] loss: 0.0281 recon_loss: 0.0200 g_loss: 0.0078 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0596\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.45 auc: 85.75 acc: 81.50 f1: 82.46 recall: 87.00 precision: 78.38 specificity: 76.00 \n",
            "Epoch: 153 [TRAIN] loss: 0.0279 recon_loss: 0.0201 g_loss: 0.0075 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0773\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.42 auc: 78.99 acc: 73.00 f1: 71.28 recall: 67.00 precision: 76.14 specificity: 79.00 \n",
            "Epoch: 154 [TRAIN] loss: 0.0265 recon_loss: 0.0203 g_loss: 0.0059 d_loss: 0.0029 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0614\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.69 auc: 83.72 acc: 77.50 f1: 78.05 recall: 80.00 precision: 76.19 specificity: 75.00 \n",
            "Epoch: 155 [TRAIN] loss: 0.0257 recon_loss: 0.0192 g_loss: 0.0063 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0611\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 88.51 acc: 81.00 f1: 81.90 recall: 86.00 precision: 78.18 specificity: 76.00 \n",
            "Epoch: 156 [TRAIN] loss: 0.0268 recon_loss: 0.0197 g_loss: 0.0068 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0734\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.66 auc: 80.03 acc: 73.00 f1: 72.73 recall: 72.00 precision: 73.47 specificity: 74.00 \n",
            "Epoch: 157 [TRAIN] loss: 0.0280 recon_loss: 0.0206 g_loss: 0.0072 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0601\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 70.10 acc: 69.00 f1: 62.65 recall: 52.00 precision: 78.79 specificity: 86.00 \n",
            "Epoch: 158 [TRAIN] loss: 0.0263 recon_loss: 0.0194 g_loss: 0.0067 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0609\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.62 auc: 89.09 acc: 83.50 f1: 82.16 recall: 76.00 precision: 89.41 specificity: 91.00 \n",
            "Epoch: 159 [TRAIN] loss: 0.0276 recon_loss: 0.0204 g_loss: 0.0069 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0627\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 85.69 acc: 79.50 f1: 75.45 recall: 63.00 precision: 94.03 specificity: 96.00 \n",
            "Epoch: 160 [TRAIN] loss: 0.0276 recon_loss: 0.0208 g_loss: 0.0065 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0614\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 85.92 acc: 78.00 f1: 76.09 recall: 70.00 precision: 83.33 specificity: 86.00 \n",
            "Epoch: 161 [TRAIN] loss: 0.0301 recon_loss: 0.0233 g_loss: 0.0066 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0766\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.50 auc: 74.81 acc: 71.00 f1: 68.13 recall: 62.00 precision: 75.61 specificity: 80.00 \n",
            "Epoch: 162 [TRAIN] loss: 0.0320 recon_loss: 0.0238 g_loss: 0.0079 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0727\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.41 auc: 75.35 acc: 73.00 f1: 75.00 recall: 81.00 precision: 69.83 specificity: 65.00 \n",
            "Epoch: 163 [TRAIN] loss: 0.0318 recon_loss: 0.0241 g_loss: 0.0074 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0672\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.65 auc: 61.57 acc: 60.00 f1: 47.37 recall: 36.00 precision: 69.23 specificity: 84.00 \n",
            "Epoch: 164 [TRAIN] loss: 0.0317 recon_loss: 0.0243 g_loss: 0.0071 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0757\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 65.63 acc: 64.50 f1: 60.77 recall: 55.00 precision: 67.90 specificity: 74.00 \n",
            "Epoch: 165 [TRAIN] loss: 0.0283 recon_loss: 0.0205 g_loss: 0.0075 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0626\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 68.97 acc: 65.50 f1: 64.62 recall: 63.00 precision: 66.32 specificity: 68.00 \n",
            "Epoch: 166 [TRAIN] loss: 0.0277 recon_loss: 0.0201 g_loss: 0.0074 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0652\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 79.69 acc: 76.00 f1: 76.24 recall: 77.00 precision: 75.49 specificity: 75.00 \n",
            "Epoch: 167 [TRAIN] loss: 0.0283 recon_loss: 0.0203 g_loss: 0.0078 d_loss: 0.0014 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0655\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 70.85 acc: 68.00 f1: 62.79 recall: 54.00 precision: 75.00 specificity: 82.00 \n",
            "Epoch: 168 [TRAIN] loss: 0.0277 recon_loss: 0.0206 g_loss: 0.0068 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0614\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 61.26 acc: 58.50 f1: 40.29 recall: 28.00 precision: 71.79 specificity: 89.00 \n",
            "Epoch: 169 [TRAIN] loss: 0.0276 recon_loss: 0.0203 g_loss: 0.0071 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0607\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 85.10 acc: 78.50 f1: 76.76 recall: 71.00 precision: 83.53 specificity: 86.00 \n",
            "Epoch: 170 [TRAIN] loss: 0.0278 recon_loss: 0.0197 g_loss: 0.0078 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0626\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 80.54 acc: 74.50 f1: 74.11 recall: 73.00 precision: 75.26 specificity: 76.00 \n",
            "Epoch: 171 [TRAIN] loss: 0.0272 recon_loss: 0.0195 g_loss: 0.0074 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0619\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 83.17 acc: 79.00 f1: 79.81 recall: 83.00 precision: 76.85 specificity: 75.00 \n",
            "Epoch: 172 [TRAIN] loss: 0.0276 recon_loss: 0.0200 g_loss: 0.0074 d_loss: 0.0026 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0630\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.52 auc: 79.55 acc: 74.00 f1: 71.43 recall: 65.00 precision: 79.27 specificity: 83.00 \n",
            "Epoch: 173 [TRAIN] loss: 0.0294 recon_loss: 0.0213 g_loss: 0.0078 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0645\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.48 auc: 69.25 acc: 65.00 f1: 66.35 recall: 69.00 precision: 63.89 specificity: 61.00 \n",
            "Epoch: 174 [TRAIN] loss: 0.0299 recon_loss: 0.0207 g_loss: 0.0090 d_loss: 0.0011 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0817\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.62 auc: 84.97 acc: 78.00 f1: 74.71 recall: 65.00 precision: 87.84 specificity: 91.00 \n",
            "Epoch: 175 [TRAIN] loss: 0.0289 recon_loss: 0.0201 g_loss: 0.0086 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0605\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.49 auc: 84.28 acc: 79.50 f1: 81.28 recall: 89.00 precision: 74.79 specificity: 70.00 \n",
            "Epoch: 176 [TRAIN] loss: 0.0287 recon_loss: 0.0199 g_loss: 0.0085 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0616\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 79.70 acc: 74.50 f1: 73.58 recall: 71.00 precision: 76.34 specificity: 78.00 \n",
            "Epoch: 177 [TRAIN] loss: 0.0299 recon_loss: 0.0213 g_loss: 0.0083 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0623\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 87.27 acc: 81.00 f1: 81.73 recall: 85.00 precision: 78.70 specificity: 77.00 \n",
            "Epoch: 178 [TRAIN] loss: 0.0272 recon_loss: 0.0196 g_loss: 0.0074 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0620\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.60 auc: 67.26 acc: 66.00 f1: 60.92 recall: 53.00 precision: 71.62 specificity: 79.00 \n",
            "Epoch: 179 [TRAIN] loss: 0.0276 recon_loss: 0.0192 g_loss: 0.0081 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0002 [VAL] recon_l1: 0.0623\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.45 auc: 79.15 acc: 72.50 f1: 75.34 recall: 84.00 precision: 68.29 specificity: 61.00 \n",
            "Epoch: 180 [TRAIN] loss: 0.0262 recon_loss: 0.0190 g_loss: 0.0070 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0002 [VAL] recon_l1: 0.0621\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.68 auc: 91.12 acc: 85.00 f1: 85.00 recall: 85.00 precision: 85.00 specificity: 85.00 \n",
            "Epoch: 181 [TRAIN] loss: 0.0269 recon_loss: 0.0194 g_loss: 0.0072 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0633\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.54 auc: 78.18 acc: 73.50 f1: 75.80 recall: 83.00 precision: 69.75 specificity: 64.00 \n",
            "Epoch: 182 [TRAIN] loss: 0.0272 recon_loss: 0.0199 g_loss: 0.0070 d_loss: 0.0023 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0614\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.47 auc: 78.28 acc: 71.50 f1: 73.24 recall: 78.00 precision: 69.03 specificity: 65.00 \n",
            "Epoch: 183 [TRAIN] loss: 0.0251 recon_loss: 0.0188 g_loss: 0.0061 d_loss: 0.0024 t_recon_loss: 0.0000 dist_loss: 0.0002 [VAL] recon_l1: 0.0615\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.61 auc: 79.80 acc: 76.00 f1: 74.19 recall: 69.00 precision: 80.23 specificity: 83.00 \n",
            "Epoch: 184 [TRAIN] loss: 0.0244 recon_loss: 0.0181 g_loss: 0.0060 d_loss: 0.0027 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0723\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.51 auc: 62.35 acc: 62.50 f1: 64.45 recall: 68.00 precision: 61.26 specificity: 57.00 \n",
            "Epoch: 185 [TRAIN] loss: 0.0265 recon_loss: 0.0197 g_loss: 0.0065 d_loss: 0.0022 t_recon_loss: 0.0000 dist_loss: 0.0002 [VAL] recon_l1: 0.0631\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.56 auc: 61.99 acc: 62.00 f1: 65.14 recall: 71.00 precision: 60.17 specificity: 53.00 \n",
            "Epoch: 186 [TRAIN] loss: 0.0247 recon_loss: 0.0180 g_loss: 0.0064 d_loss: 0.0027 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0617\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.80 auc: 81.15 acc: 77.50 f1: 75.41 recall: 69.00 precision: 83.13 specificity: 86.00 \n",
            "Epoch: 187 [TRAIN] loss: 0.0255 recon_loss: 0.0187 g_loss: 0.0065 d_loss: 0.0019 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0607\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 79.55 acc: 76.00 f1: 76.00 recall: 76.00 precision: 76.00 specificity: 76.00 \n",
            "Epoch: 188 [TRAIN] loss: 0.0255 recon_loss: 0.0187 g_loss: 0.0066 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0611\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.74 auc: 79.02 acc: 72.50 f1: 64.97 recall: 51.00 precision: 89.47 specificity: 94.00 \n",
            "Epoch: 189 [TRAIN] loss: 0.0273 recon_loss: 0.0196 g_loss: 0.0075 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0616\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.57 auc: 84.06 acc: 77.50 f1: 79.45 recall: 87.00 precision: 73.11 specificity: 68.00 \n",
            "Epoch: 190 [TRAIN] loss: 0.0257 recon_loss: 0.0186 g_loss: 0.0069 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0593\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.62 auc: 82.29 acc: 77.50 f1: 78.47 recall: 82.00 precision: 75.23 specificity: 73.00 \n",
            "Epoch: 191 [TRAIN] loss: 0.0257 recon_loss: 0.0184 g_loss: 0.0071 d_loss: 0.0020 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0615\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.70 auc: 72.07 acc: 69.00 f1: 64.77 recall: 57.00 precision: 75.00 specificity: 81.00 \n",
            "Epoch: 192 [TRAIN] loss: 0.0263 recon_loss: 0.0188 g_loss: 0.0072 d_loss: 0.0018 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0657\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.53 auc: 75.58 acc: 71.50 f1: 70.77 recall: 69.00 precision: 72.63 specificity: 74.00 \n",
            "Epoch: 193 [TRAIN] loss: 0.0267 recon_loss: 0.0193 g_loss: 0.0072 d_loss: 0.0021 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0665\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.65 auc: 67.61 acc: 66.50 f1: 62.15 recall: 55.00 precision: 71.43 specificity: 78.00 \n",
            "Epoch: 194 [TRAIN] loss: 0.0272 recon_loss: 0.0194 g_loss: 0.0075 d_loss: 0.0017 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0624\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.58 auc: 86.03 acc: 79.00 f1: 79.21 recall: 80.00 precision: 78.43 specificity: 78.00 \n",
            "Epoch: 195 [TRAIN] loss: 0.0273 recon_loss: 0.0191 g_loss: 0.0079 d_loss: 0.0015 t_recon_loss: 0.0000 dist_loss: 0.0002 [VAL] recon_l1: 0.0672\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.72 auc: 75.94 acc: 70.50 f1: 68.11 recall: 63.00 precision: 74.12 specificity: 78.00 \n",
            "Epoch: 196 [TRAIN] loss: 0.0267 recon_loss: 0.0186 g_loss: 0.0079 d_loss: 0.0013 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0593\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.59 auc: 83.96 acc: 78.50 f1: 79.23 recall: 82.00 precision: 76.64 specificity: 75.00 \n",
            "Epoch: 197 [TRAIN] loss: 0.0269 recon_loss: 0.0186 g_loss: 0.0081 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0607\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.64 auc: 72.26 acc: 67.50 f1: 65.24 recall: 61.00 precision: 70.11 specificity: 74.00 \n",
            "Epoch: 198 [TRAIN] loss: 0.0267 recon_loss: 0.0188 g_loss: 0.0076 d_loss: 0.0016 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0607\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.65 auc: 83.23 acc: 79.00 f1: 78.35 recall: 76.00 precision: 80.85 specificity: 82.00 \n",
            "Epoch: 199 [TRAIN] loss: 0.0277 recon_loss: 0.0192 g_loss: 0.0082 d_loss: 0.0025 t_recon_loss: 0.0000 dist_loss: 0.0003 [VAL] recon_l1: 0.0634\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "[VAL metrics] threshold: 0.69 auc: 71.24 acc: 67.50 f1: 61.08 recall: 51.00 precision: 76.12 specificity: 84.00 \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python eval.py --exp zhang_exp1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RTx8YT073Z9u",
        "outputId": "64cc30bf-30f0-4db9-faa4-8a658917475a"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1249 data loaded from: /content/drive/MyDrive/zhanglab/train\n",
            "200 data loaded from: /content/drive/MyDrive/zhanglab/val\n",
            "624 data loaded from: /content/drive/MyDrive/zhanglab/test\n",
            "SQUID ops: ['concat', 'concat', 'none', 'none']\n",
            "Masked Shortcut activated with mask ratio: 0.95\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "[memory queue] Gumbel Shrinkage activated with threshold: 5\n",
            "Traceback (most recent call last):\n",
            "  File \"/content/SQUID/eval.py\", line 51, in <module>\n",
            "    model = MODULE.AE(1, 32, CONFIG.shrink_thres, num_slots=CONFIG.num_slots, num_patch=CONFIG.num_patch, level=CONFIG.level, \n",
            "  File \"/content/SQUID/checkpoints/zhang_exp1/squid.py\", line 48, in __init__\n",
            "    for i, config in enumerate(decoder_memory):\n",
            "TypeError: 'NoneType' object is not iterable\n"
          ]
        }
      ]
    }
  ]
}