04_01_gan_camel_train.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "LBoRAHdlnU2y"
   },
   "source": [
    "# GAN Training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9jO8xaaBnU22"
   },
   "source": [
    "## imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 263
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 4981,
     "status": "error",
     "timestamp": 1584266128662,
     "user": {
      "displayName": "Mayank Bhaskar",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgWliVEQnrktBb-2CBRGZfem4nDE3SpCKtQzIZChw=s64",
      "userId": "09690461943047956705"
     },
     "user_tz": -330
    },
    "id": "mrbTGsWinU24",
    "outputId": "5c85380e-7a61-4750-a61c-869c5c007835"
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "tf.config.experimental.set_memory_growth(tf.config.experimental.list_physical_devices('GPU')[0], True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tzQZBzCwnU2_",
    "outputId": "b2be461b-9bca-4407-dc2b-45581c1db623"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from models.GAN import GAN\n",
    "from utils.loaders import load_safari\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "w_8MOlsvnU3E"
   },
   "outputs": [],
   "source": [
    "# run params\n",
    "SECTION = 'gan'\n",
    "RUN_ID = '0001'\n",
    "DATA_NAME = 'camel'\n",
    "RUN_FOLDER = 'run/{}/'.format(SECTION)\n",
    "RUN_FOLDER += '_'.join([RUN_ID, DATA_NAME])\n",
    "\n",
    "if not os.path.exists(RUN_FOLDER):\n",
    "    os.mkdir(RUN_FOLDER)\n",
    "    os.mkdir(os.path.join(RUN_FOLDER, 'viz'))\n",
    "    os.mkdir(os.path.join(RUN_FOLDER, 'images'))\n",
    "    os.mkdir(os.path.join(RUN_FOLDER, 'weights'))\n",
    "\n",
    "mode =  'build' #'load' #"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jmUgkmbsnU3J"
   },
   "source": [
    "## data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "h9DzOCpHnU3L"
   },
   "outputs": [],
   "source": [
    "(x_train, y_train) = load_safari(DATA_NAME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "K5Ladyz1nU3P",
    "outputId": "229cd9f1-becf-4fc7-c0d9-55eb81c6413c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(80000, 28, 28, 1)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "M332jn1vnU3V",
    "outputId": "086d94cd-77b1-4103-f1db-09713fb3504e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fca2506e1d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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99dJXvzxvdYS9Q9LEHr9/R9L+Gvrolbvvz24PSFqr7pcdraTr+Aq62e2Bmvv5f+7e5e5H3f2YpF+pxucuW2Z8jaTfuPvz2eban7ve+uqv562OsG+VNM3MppjZIElzJb1YQx/fYmZnZ2+cyMzOlvRDtd5S1C9Kuiu7f5ekdTX2coJWWcY7b5lx1fzc1b78ubv3+4+kW9T9jvz7kh6oo4ecvs6X9Fb2807dvUl6Rt2ndd+o+4zoHknnSNok6d3sdnQL9faUupf23qnuYLXV1Nv31P3ScKekHdnPLXU/d4m++uV54+OyQBB8gg4IgrADQRB2IAjCDgRB2IEgCDsQBGEHgvg/PPu+7DZVSwMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(x_train[200,:,:,0], cmap = 'gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jwe9cY7InU3a"
   },
   "source": [
    "## architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "EzNNFiysnU3b"
   },
   "outputs": [],
   "source": [
    "gan = GAN(input_dim = (28,28,1)\n",
    "        , discriminator_conv_filters = [64,64,128,128]\n",
    "        , discriminator_conv_kernel_size = [5,5,5,5]\n",
    "        , discriminator_conv_strides = [2,2,2,1]\n",
    "        , discriminator_batch_norm_momentum = None\n",
    "        , discriminator_activation = 'relu'\n",
    "        , discriminator_dropout_rate = 0.4\n",
    "        , discriminator_learning_rate = 0.0008\n",
    "        , generator_initial_dense_layer_size = (7, 7, 64)\n",
    "        , generator_upsample = [2,2, 1, 1]\n",
    "        , generator_conv_filters = [128,64, 64,1]\n",
    "        , generator_conv_kernel_size = [5,5,5,5]\n",
    "        , generator_conv_strides = [1,1, 1, 1]\n",
    "        , generator_batch_norm_momentum = 0.9\n",
    "        , generator_activation = 'relu'\n",
    "        , generator_dropout_rate = None\n",
    "        , generator_learning_rate = 0.0004\n",
    "        , optimiser = 'rmsprop'\n",
    "        , z_dim = 100\n",
    "        )\n",
    "\n",
    "if mode == 'build':\n",
    "    gan.save(RUN_FOLDER)\n",
    "else:\n",
    "    gan.load_weights(os.path.join(RUN_FOLDER, 'weights/weights.h5'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6NLF058YnU3f",
    "outputId": "6d6e3960-e277-4cd6-d720-ee730b177b68"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "discriminator_input (InputLa (None, 28, 28, 1)         0         \n",
      "_________________________________________________________________\n",
      "discriminator_conv_0 (Conv2D (None, 14, 14, 64)        1664      \n",
      "_________________________________________________________________\n",
      "activation_1 (Activation)    (None, 14, 14, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 14, 14, 64)        0         \n",
      "_________________________________________________________________\n",
      "discriminator_conv_1 (Conv2D (None, 7, 7, 64)          102464    \n",
      "_________________________________________________________________\n",
      "activation_2 (Activation)    (None, 7, 7, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 7, 7, 64)          0         \n",
      "_________________________________________________________________\n",
      "discriminator_conv_2 (Conv2D (None, 4, 4, 128)         204928    \n",
      "_________________________________________________________________\n",
      "activation_3 (Activation)    (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "discriminator_conv_3 (Conv2D (None, 4, 4, 128)         409728    \n",
      "_________________________________________________________________\n",
      "activation_4 (Activation)    (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 2049      \n",
      "=================================================================\n",
      "Total params: 720,833\n",
      "Trainable params: 720,833\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "gan.discriminator.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "RRRkeIpbnU3l",
    "outputId": "447edc53-003d-45c6-872a-206726423e06"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_2\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "generator_input (InputLayer) (None, 100)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 3136)              316736    \n",
      "_________________________________________________________________\n",
      "batch_normalization_1 (Batch (None, 3136)              12544     \n",
      "_________________________________________________________________\n",
      "activation_5 (Activation)    (None, 3136)              0         \n",
      "_________________________________________________________________\n",
      "reshape_1 (Reshape)          (None, 7, 7, 64)          0         \n",
      "_________________________________________________________________\n",
      "up_sampling2d_1 (UpSampling2 (None, 14, 14, 64)        0         \n",
      "_________________________________________________________________\n",
      "generator_conv_0 (Conv2D)    (None, 14, 14, 128)       204928    \n",
      "_________________________________________________________________\n",
      "batch_normalization_2 (Batch (None, 14, 14, 128)       512       \n",
      "_________________________________________________________________\n",
      "activation_6 (Activation)    (None, 14, 14, 128)       0         \n",
      "_________________________________________________________________\n",
      "up_sampling2d_2 (UpSampling2 (None, 28, 28, 128)       0         \n",
      "_________________________________________________________________\n",
      "generator_conv_1 (Conv2D)    (None, 28, 28, 64)        204864    \n",
      "_________________________________________________________________\n",
      "batch_normalization_3 (Batch (None, 28, 28, 64)        256       \n",
      "_________________________________________________________________\n",
      "activation_7 (Activation)    (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "generator_conv_2 (Conv2DTran (None, 28, 28, 64)        102464    \n",
      "_________________________________________________________________\n",
      "batch_normalization_4 (Batch (None, 28, 28, 64)        256       \n",
      "_________________________________________________________________\n",
      "activation_8 (Activation)    (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "generator_conv_3 (Conv2DTran (None, 28, 28, 1)         1601      \n",
      "_________________________________________________________________\n",
      "activation_9 (Activation)    (None, 28, 28, 1)         0         \n",
      "=================================================================\n",
      "Total params: 844,161\n",
      "Trainable params: 837,377\n",
      "Non-trainable params: 6,784\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "gan.generator.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "IGaEM2g3nU3q"
   },
   "source": [
    "## training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "G7mNXH3UnU3r"
   },
   "outputs": [],
   "source": [
    "BATCH_SIZE = 256\n",
    "EPOCHS = 6000\n",
    "PRINT_EVERY_N_BATCHES = 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "A7k-yz8SnU3v",
    "outputId": "3cd5c447-075a-4bc4-cdc0-c1ad78435d72",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/cataluna84/anaconda3/envs/tf-gpu-1/lib/python3.7/site-packages/keras/engine/training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n",
      "  'Discrepancy between trainable weights and collected trainable'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 [D loss: (0.731)(R 0.695, F 0.767)] [D acc: (0.219)(0.438, 0.000)] [G loss: 0.679] [G acc: 1.000]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/cataluna84/anaconda3/envs/tf-gpu-1/lib/python3.7/site-packages/keras/engine/training.py:297: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n",
      "  'Discrepancy between trainable weights and collected trainable'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 [D loss: (0.710)(R 0.662, F 0.757)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.679] [G acc: 1.000]\n",
      "2 [D loss: (0.713)(R 0.588, F 0.837)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.626] [G acc: 1.000]\n",
      "3 [D loss: (1.911)(R 0.459, F 3.364)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.617] [G acc: 1.000]\n",
      "4 [D loss: (0.649)(R 0.582, F 0.716)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.571] [G acc: 1.000]\n",
      "5 [D loss: (0.643)(R 0.562, F 0.723)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.527] [G acc: 1.000]\n",
      "6 [D loss: (0.639)(R 0.537, F 0.742)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.482] [G acc: 1.000]\n",
      "7 [D loss: (0.661)(R 0.509, F 0.813)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.473] [G acc: 1.000]\n",
      "8 [D loss: (0.686)(R 0.494, F 0.877)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.487] [G acc: 1.000]\n",
      "9 [D loss: (0.711)(R 0.510, F 0.913)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.533] [G acc: 1.000]\n",
      "10 [D loss: (0.707)(R 0.539, F 0.876)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.576] [G acc: 1.000]\n",
      "11 [D loss: (0.700)(R 0.560, F 0.841)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.610] [G acc: 1.000]\n",
      "12 [D loss: (0.688)(R 0.570, F 0.805)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.636] [G acc: 1.000]\n",
      "13 [D loss: (0.674)(R 0.561, F 0.788)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.655] [G acc: 1.000]\n",
      "14 [D loss: (0.652)(R 0.540, F 0.763)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.669] [G acc: 1.000]\n",
      "15 [D loss: (0.617)(R 0.470, F 0.764)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.683] [G acc: 1.000]\n",
      "16 [D loss: (0.541)(R 0.361, F 0.722)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.689] [G acc: 0.953]\n",
      "17 [D loss: (0.429)(R 0.124, F 0.734)] [D acc: (0.500)(1.000, 0.000)] [G loss: 0.695] [G acc: 0.215]\n",
      "18 [D loss: (0.370)(R 0.049, F 0.691)] [D acc: (0.938)(1.000, 0.875)] [G loss: 0.703] [G acc: 0.000]\n",
      "19 [D loss: (0.345)(R 0.006, F 0.684)] [D acc: (0.998)(1.000, 0.996)] [G loss: 0.726] [G acc: 0.000]\n",
      "20 [D loss: (0.335)(R 0.003, F 0.667)] [D acc: (1.000)(1.000, 1.000)] [G loss: 0.810] [G acc: 0.000]\n",
      "21 [D loss: (0.299)(R 0.001, F 0.598)] [D acc: (1.000)(1.000, 1.000)] [G loss: 1.458] [G acc: 0.000]\n",
      "22 [D loss: (0.146)(R 0.001, F 0.292)] [D acc: (1.000)(1.000, 1.000)] [G loss: 5.223] [G acc: 0.000]\n",
      "23 [D loss: (1.466)(R 0.873, F 2.058)] [D acc: (0.307)(0.613, 0.000)] [G loss: 0.003] [G acc: 1.000]\n",
      "24 [D loss: (0.108)(R 0.004, F 0.212)] [D acc: (1.000)(1.000, 1.000)] [G loss: 0.002] [G acc: 1.000]\n",
      "25 [D loss: (0.054)(R 0.003, F 0.106)] [D acc: (1.000)(1.000, 1.000)] [G loss: 0.000] [G acc: 1.000]\n",
      "26 [D loss: (0.034)(R 0.011, F 0.057)] [D acc: (0.998)(0.996, 1.000)] [G loss: 0.001] [G acc: 1.000]\n",
      "27 [D loss: (0.020)(R 0.001, F 0.039)] [D acc: (0.998)(1.000, 0.996)] [G loss: 0.003] [G acc: 1.000]\n",
      "28 [D loss: (0.008)(R 0.002, F 0.014)] [D acc: (1.000)(1.000, 1.000)] [G loss: 0.000] [G acc: 1.000]\n",
      "29 [D loss: (0.012)(R 0.006, F 0.019)] [D acc: (0.994)(0.996, 0.992)] [G loss: 0.000] [G acc: 1.000]\n",
      "30 [D loss: (0.026)(R 0.004, F 0.049)] [D acc: (0.994)(1.000, 0.988)] [G loss: 0.001] [G acc: 1.000]\n",
      "31 [D loss: (0.014)(R 0.008, F 0.020)] [D acc: (0.996)(0.996, 0.996)] [G loss: 0.000] [G acc: 1.000]\n",
      "32 [D loss: (0.085)(R 0.039, F 0.131)] [D acc: (0.973)(0.980, 0.965)] [G loss: 0.001] [G acc: 1.000]\n",
      "33 [D loss: (0.116)(R 0.033, F 0.198)] [D acc: (0.951)(0.984, 0.918)] [G loss: 0.004] [G acc: 1.000]\n",
      "34 [D loss: (0.596)(R 0.206, F 0.986)] [D acc: (0.820)(0.910, 0.730)] [G loss: 0.019] [G acc: 1.000]\n",
      "35 [D loss: (0.890)(R 0.234, F 1.547)] [D acc: (0.697)(0.918, 0.477)] [G loss: 0.222] [G acc: 1.000]\n",
      "36 [D loss: (1.543)(R 0.708, F 2.377)] [D acc: (0.359)(0.621, 0.098)] [G loss: 0.481] [G acc: 1.000]\n",
      "37 [D loss: (0.787)(R 0.526, F 1.048)] [D acc: (0.518)(0.988, 0.047)] [G loss: 0.604] [G acc: 1.000]\n",
      "38 [D loss: (0.736)(R 0.568, F 0.904)] [D acc: (0.488)(0.965, 0.012)] [G loss: 0.672] [G acc: 0.773]\n",
      "39 [D loss: (0.696)(R 0.575, F 0.817)] [D acc: (0.494)(0.988, 0.000)] [G loss: 0.729] [G acc: 0.117]\n",
      "40 [D loss: (0.653)(R 0.553, F 0.753)] [D acc: (0.520)(0.984, 0.055)] [G loss: 0.851] [G acc: 0.000]\n",
      "41 [D loss: (0.588)(R 0.490, F 0.686)] [D acc: (0.779)(0.988, 0.570)] [G loss: 1.155] [G acc: 0.000]\n",
      "42 [D loss: (0.511)(R 0.360, F 0.662)] [D acc: (0.859)(0.996, 0.723)] [G loss: 1.372] [G acc: 0.004]\n",
      "43 [D loss: (0.371)(R 0.189, F 0.553)] [D acc: (0.967)(1.000, 0.934)] [G loss: 1.649] [G acc: 0.008]\n",
      "44 [D loss: (0.519)(R 0.067, F 0.971)] [D acc: (0.727)(1.000, 0.453)] [G loss: 1.356] [G acc: 0.004]\n",
      "45 [D loss: (1.077)(R 0.512, F 1.642)] [D acc: (0.436)(0.871, 0.000)] [G loss: 2.236] [G acc: 0.000]\n",
      "46 [D loss: (0.597)(R 0.603, F 0.591)] [D acc: (0.725)(0.773, 0.676)] [G loss: 0.946] [G acc: 0.273]\n",
      "47 [D loss: (0.658)(R 0.457, F 0.859)] [D acc: (0.555)(0.898, 0.211)] [G loss: 0.834] [G acc: 0.215]\n",
      "48 [D loss: (0.584)(R 0.390, F 0.778)] [D acc: (0.641)(0.938, 0.344)] [G loss: 0.850] [G acc: 0.180]\n",
      "49 [D loss: (0.741)(R 0.356, F 1.127)] [D acc: (0.479)(0.898, 0.059)] [G loss: 0.738] [G acc: 0.266]\n",
      "50 [D loss: (0.568)(R 0.474, F 0.663)] [D acc: (0.787)(0.945, 0.629)] [G loss: 0.790] [G acc: 0.277]\n",
      "51 [D loss: (0.607)(R 0.419, F 0.795)] [D acc: (0.611)(0.895, 0.328)] [G loss: 0.827] [G acc: 0.234]\n",
      "52 [D loss: (0.614)(R 0.437, F 0.792)] [D acc: (0.645)(0.883, 0.406)] [G loss: 0.620] [G acc: 0.734]\n",
      "53 [D loss: (0.710)(R 0.437, F 0.983)] [D acc: (0.502)(0.898, 0.105)] [G loss: 0.807] [G acc: 0.254]\n",
      "54 [D loss: (0.452)(R 0.548, F 0.355)] [D acc: (0.857)(0.789, 0.926)] [G loss: 2.427] [G acc: 0.012]\n",
      "55 [D loss: (0.625)(R 0.464, F 0.786)] [D acc: (0.592)(0.820, 0.363)] [G loss: 1.624] [G acc: 0.000]\n",
      "56 [D loss: (0.711)(R 0.479, F 0.943)] [D acc: (0.486)(0.844, 0.129)] [G loss: 1.261] [G acc: 0.012]\n",
      "57 [D loss: (0.661)(R 0.487, F 0.834)] [D acc: (0.568)(0.910, 0.227)] [G loss: 1.212] [G acc: 0.008]\n",
      "58 [D loss: (0.684)(R 0.524, F 0.845)] [D acc: (0.502)(0.859, 0.145)] [G loss: 0.837] [G acc: 0.105]\n",
      "59 [D loss: (0.645)(R 0.500, F 0.789)] [D acc: (0.566)(0.895, 0.238)] [G loss: 0.838] [G acc: 0.121]\n",
      "60 [D loss: (0.614)(R 0.490, F 0.739)] [D acc: (0.643)(0.891, 0.395)] [G loss: 0.848] [G acc: 0.105]\n",
      "61 [D loss: (0.610)(R 0.479, F 0.742)] [D acc: (0.627)(0.875, 0.379)] [G loss: 0.830] [G acc: 0.160]\n",
      "62 [D loss: (0.586)(R 0.410, F 0.763)] [D acc: (0.650)(0.898, 0.402)] [G loss: 0.994] [G acc: 0.066]\n",
      "63 [D loss: (0.699)(R 0.455, F 0.943)] [D acc: (0.504)(0.855, 0.152)] [G loss: 0.824] [G acc: 0.109]\n",
      "64 [D loss: (0.653)(R 0.498, F 0.808)] [D acc: (0.566)(0.867, 0.266)] [G loss: 0.858] [G acc: 0.098]\n",
      "65 [D loss: (0.693)(R 0.536, F 0.850)] [D acc: (0.490)(0.797, 0.184)] [G loss: 0.764] [G acc: 0.117]\n",
      "66 [D loss: (0.662)(R 0.537, F 0.787)] [D acc: (0.543)(0.855, 0.230)] [G loss: 0.782] [G acc: 0.137]\n",
      "67 [D loss: (0.651)(R 0.525, F 0.778)] [D acc: (0.555)(0.891, 0.219)] [G loss: 0.803] [G acc: 0.074]\n",
      "68 [D loss: (0.675)(R 0.554, F 0.797)] [D acc: (0.492)(0.828, 0.156)] [G loss: 0.756] [G acc: 0.156]\n",
      "69 [D loss: (0.660)(R 0.557, F 0.764)] [D acc: (0.523)(0.840, 0.207)] [G loss: 0.753] [G acc: 0.121]\n",
      "70 [D loss: (0.659)(R 0.534, F 0.785)] [D acc: (0.547)(0.871, 0.223)] [G loss: 0.770] [G acc: 0.125]\n",
      "71 [D loss: (0.660)(R 0.550, F 0.771)] [D acc: (0.521)(0.844, 0.199)] [G loss: 0.775] [G acc: 0.055]\n",
      "72 [D loss: (0.681)(R 0.498, F 0.863)] [D acc: (0.496)(0.898, 0.094)] [G loss: 0.809] [G acc: 0.020]\n",
      "73 [D loss: (0.656)(R 0.593, F 0.718)] [D acc: (0.609)(0.805, 0.414)] [G loss: 0.780] [G acc: 0.031]\n",
      "74 [D loss: (0.645)(R 0.538, F 0.751)] [D acc: (0.582)(0.855, 0.309)] [G loss: 0.788] [G acc: 0.035]\n",
      "75 [D loss: (0.627)(R 0.512, F 0.742)] [D acc: (0.619)(0.910, 0.328)] [G loss: 0.794] [G acc: 0.027]\n",
      "76 [D loss: (0.626)(R 0.479, F 0.774)] [D acc: (0.588)(0.887, 0.289)] [G loss: 0.881] [G acc: 0.004]\n",
      "77 [D loss: (0.624)(R 0.537, F 0.710)] [D acc: (0.631)(0.832, 0.430)] [G loss: 0.779] [G acc: 0.059]\n",
      "78 [D loss: (0.631)(R 0.392, F 0.870)] [D acc: (0.592)(0.953, 0.230)] [G loss: 0.917] [G acc: 0.000]\n",
      "79 [D loss: (0.660)(R 0.567, F 0.753)] [D acc: (0.559)(0.777, 0.340)] [G loss: 0.864] [G acc: 0.016]\n",
      "80 [D loss: (0.574)(R 0.431, F 0.716)] [D acc: (0.686)(0.934, 0.438)] [G loss: 0.824] [G acc: 0.031]\n",
      "81 [D loss: (0.603)(R 0.306, F 0.900)] [D acc: (0.588)(0.953, 0.223)] [G loss: 0.951] [G acc: 0.000]\n",
      "82 [D loss: (0.580)(R 0.545, F 0.616)] [D acc: (0.832)(0.781, 0.883)] [G loss: 1.040] [G acc: 0.023]\n",
      "83 [D loss: (0.517)(R 0.286, F 0.748)] [D acc: (0.732)(0.938, 0.527)] [G loss: 1.619] [G acc: 0.000]\n",
      "84 [D loss: (0.603)(R 0.499, F 0.706)] [D acc: (0.666)(0.793, 0.539)] [G loss: 0.951] [G acc: 0.000]\n",
      "85 [D loss: (0.558)(R 0.337, F 0.778)] [D acc: (0.658)(0.918, 0.398)] [G loss: 1.034] [G acc: 0.004]\n",
      "86 [D loss: (0.543)(R 0.423, F 0.663)] [D acc: (0.760)(0.840, 0.680)] [G loss: 1.073] [G acc: 0.012]\n",
      "87 [D loss: (0.547)(R 0.313, F 0.781)] [D acc: (0.668)(0.883, 0.453)] [G loss: 1.145] [G acc: 0.000]\n",
      "88 [D loss: (0.600)(R 0.513, F 0.687)] [D acc: (0.695)(0.762, 0.629)] [G loss: 1.064] [G acc: 0.008]\n",
      "89 [D loss: (0.545)(R 0.270, F 0.819)] [D acc: (0.678)(0.934, 0.422)] [G loss: 1.335] [G acc: 0.000]\n",
      "90 [D loss: (0.622)(R 0.573, F 0.671)] [D acc: (0.674)(0.684, 0.664)] [G loss: 1.157] [G acc: 0.004]\n",
      "91 [D loss: (0.524)(R 0.317, F 0.731)] [D acc: (0.736)(0.930, 0.543)] [G loss: 1.265] [G acc: 0.000]\n",
      "92 [D loss: (0.546)(R 0.361, F 0.731)] [D acc: (0.713)(0.902, 0.523)] [G loss: 1.305] [G acc: 0.000]\n",
      "93 [D loss: (0.507)(R 0.436, F 0.578)] [D acc: (0.797)(0.793, 0.801)] [G loss: 1.376] [G acc: 0.004]\n",
      "94 [D loss: (0.715)(R 0.267, F 1.163)] [D acc: (0.533)(0.930, 0.137)] [G loss: 0.965] [G acc: 0.000]\n",
      "95 [D loss: (0.619)(R 0.605, F 0.633)] [D acc: (0.713)(0.617, 0.809)] [G loss: 0.880] [G acc: 0.004]\n",
      "96 [D loss: (0.632)(R 0.390, F 0.874)] [D acc: (0.555)(0.898, 0.211)] [G loss: 0.912] [G acc: 0.000]\n",
      "97 [D loss: (0.608)(R 0.527, F 0.690)] [D acc: (0.672)(0.758, 0.586)] [G loss: 0.888] [G acc: 0.008]\n",
      "98 [D loss: (0.629)(R 0.372, F 0.887)] [D acc: (0.605)(0.926, 0.285)] [G loss: 0.928] [G acc: 0.000]\n",
      "99 [D loss: (0.604)(R 0.532, F 0.676)] [D acc: (0.713)(0.758, 0.668)] [G loss: 1.006] [G acc: 0.004]\n",
      "100 [D loss: (0.574)(R 0.431, F 0.716)] [D acc: (0.727)(0.836, 0.617)] [G loss: 1.153] [G acc: 0.004]\n",
      "101 [D loss: (0.565)(R 0.479, F 0.651)] [D acc: (0.740)(0.812, 0.668)] [G loss: 1.841] [G acc: 0.000]\n",
      "102 [D loss: (0.619)(R 0.447, F 0.791)] [D acc: (0.699)(0.809, 0.590)] [G loss: 1.308] [G acc: 0.004]\n",
      "103 [D loss: (1.018)(R 0.601, F 1.434)] [D acc: (0.375)(0.703, 0.047)] [G loss: 0.801] [G acc: 0.012]\n",
      "104 [D loss: (0.669)(R 0.662, F 0.677)] [D acc: (0.662)(0.590, 0.734)] [G loss: 0.777] [G acc: 0.031]\n",
      "105 [D loss: (0.663)(R 0.592, F 0.734)] [D acc: (0.574)(0.688, 0.461)] [G loss: 0.785] [G acc: 0.039]\n",
      "106 [D loss: (0.669)(R 0.582, F 0.756)] [D acc: (0.562)(0.734, 0.391)] [G loss: 0.788] [G acc: 0.027]\n",
      "107 [D loss: (0.634)(R 0.569, F 0.698)] [D acc: (0.676)(0.766, 0.586)] [G loss: 0.809] [G acc: 0.031]\n",
      "108 [D loss: (0.618)(R 0.523, F 0.713)] [D acc: (0.689)(0.793, 0.586)] [G loss: 0.812] [G acc: 0.031]\n",
      "109 [D loss: (0.632)(R 0.514, F 0.750)] [D acc: (0.660)(0.797, 0.523)] [G loss: 0.808] [G acc: 0.066]\n",
      "110 [D loss: (0.632)(R 0.531, F 0.732)] [D acc: (0.666)(0.797, 0.535)] [G loss: 0.785] [G acc: 0.086]\n",
      "111 [D loss: (0.646)(R 0.514, F 0.778)] [D acc: (0.633)(0.824, 0.441)] [G loss: 0.791] [G acc: 0.109]\n",
      "112 [D loss: (0.666)(R 0.559, F 0.773)] [D acc: (0.568)(0.758, 0.379)] [G loss: 0.761] [G acc: 0.191]\n",
      "113 [D loss: (0.645)(R 0.522, F 0.769)] [D acc: (0.648)(0.840, 0.457)] [G loss: 0.761] [G acc: 0.188]\n",
      "114 [D loss: (0.700)(R 0.571, F 0.829)] [D acc: (0.533)(0.773, 0.293)] [G loss: 0.734] [G acc: 0.340]\n",
      "115 [D loss: (0.672)(R 0.540, F 0.803)] [D acc: (0.615)(0.832, 0.398)] [G loss: 0.748] [G acc: 0.211]\n",
      "116 [D loss: (0.679)(R 0.531, F 0.827)] [D acc: (0.553)(0.789, 0.316)] [G loss: 0.759] [G acc: 0.180]\n",
      "117 [D loss: (0.667)(R 0.583, F 0.752)] [D acc: (0.609)(0.734, 0.484)] [G loss: 0.756] [G acc: 0.191]\n",
      "118 [D loss: (0.563)(R 0.559, F 0.567)] [D acc: (0.742)(0.762, 0.723)] [G loss: 0.685] [G acc: 0.520]\n",
      "119 [D loss: (0.847)(R 0.652, F 1.043)] [D acc: (0.342)(0.629, 0.055)] [G loss: 0.827] [G acc: 0.129]\n",
      "120 [D loss: (0.721)(R 0.768, F 0.674)] [D acc: (0.514)(0.297, 0.730)] [G loss: 0.729] [G acc: 0.152]\n",
      "121 [D loss: (0.678)(R 0.667, F 0.689)] [D acc: (0.631)(0.602, 0.660)] [G loss: 0.717] [G acc: 0.238]\n",
      "122 [D loss: (0.665)(R 0.599, F 0.732)] [D acc: (0.652)(0.859, 0.445)] [G loss: 0.708] [G acc: 0.312]\n",
      "123 [D loss: (0.683)(R 0.585, F 0.781)] [D acc: (0.590)(0.887, 0.293)] [G loss: 0.703] [G acc: 0.379]\n",
      "124 [D loss: (0.712)(R 0.561, F 0.862)] [D acc: (0.512)(0.855, 0.168)] [G loss: 0.710] [G acc: 0.340]\n",
      "125 [D loss: (0.702)(R 0.593, F 0.810)] [D acc: (0.520)(0.832, 0.207)] [G loss: 0.730] [G acc: 0.195]\n",
      "126 [D loss: (0.693)(R 0.621, F 0.766)] [D acc: (0.516)(0.773, 0.258)] [G loss: 0.739] [G acc: 0.125]\n",
      "127 [D loss: (0.681)(R 0.637, F 0.725)] [D acc: (0.566)(0.711, 0.422)] [G loss: 0.736] [G acc: 0.172]\n",
      "128 [D loss: (0.683)(R 0.613, F 0.754)] [D acc: (0.582)(0.809, 0.355)] [G loss: 0.739] [G acc: 0.145]\n",
      "129 [D loss: (0.688)(R 0.621, F 0.756)] [D acc: (0.568)(0.777, 0.359)] [G loss: 0.746] [G acc: 0.117]\n",
      "130 [D loss: (0.658)(R 0.609, F 0.706)] [D acc: (0.668)(0.812, 0.523)] [G loss: 0.738] [G acc: 0.191]\n",
      "131 [D loss: (0.699)(R 0.625, F 0.773)] [D acc: (0.508)(0.719, 0.297)] [G loss: 0.747] [G acc: 0.129]\n",
      "132 [D loss: (0.686)(R 0.638, F 0.734)] [D acc: (0.592)(0.750, 0.434)] [G loss: 0.756] [G acc: 0.105]\n",
      "133 [D loss: (0.680)(R 0.628, F 0.732)] [D acc: (0.562)(0.754, 0.371)] [G loss: 0.769] [G acc: 0.090]\n",
      "134 [D loss: (0.683)(R 0.655, F 0.712)] [D acc: (0.555)(0.645, 0.465)] [G loss: 0.766] [G acc: 0.043]\n",
      "135 [D loss: (0.687)(R 0.659, F 0.715)] [D acc: (0.533)(0.613, 0.453)] [G loss: 0.751] [G acc: 0.109]\n",
      "136 [D loss: (0.673)(R 0.630, F 0.717)] [D acc: (0.602)(0.746, 0.457)] [G loss: 0.769] [G acc: 0.066]\n",
      "137 [D loss: (0.695)(R 0.578, F 0.812)] [D acc: (0.549)(0.824, 0.273)] [G loss: 0.785] [G acc: 0.020]\n",
      "138 [D loss: (0.664)(R 0.641, F 0.688)] [D acc: (0.656)(0.637, 0.676)] [G loss: 0.816] [G acc: 0.012]\n",
      "139 [D loss: (0.680)(R 0.504, F 0.857)] [D acc: (0.633)(0.895, 0.371)] [G loss: 0.814] [G acc: 0.039]\n",
      "140 [D loss: (0.651)(R 0.644, F 0.658)] [D acc: (0.703)(0.625, 0.781)] [G loss: 0.812] [G acc: 0.180]\n",
      "141 [D loss: (0.432)(R 0.424, F 0.440)] [D acc: (0.871)(0.910, 0.832)] [G loss: 1.008] [G acc: 0.379]\n",
      "142 [D loss: (2.444)(R 0.312, F 4.576)] [D acc: (0.473)(0.918, 0.027)] [G loss: 0.845] [G acc: 0.008]\n",
      "143 [D loss: (0.551)(R 0.531, F 0.572)] [D acc: (0.902)(0.859, 0.945)] [G loss: 0.874] [G acc: 0.113]\n",
      "144 [D loss: (0.639)(R 0.443, F 0.834)] [D acc: (0.625)(0.902, 0.348)] [G loss: 0.878] [G acc: 0.129]\n",
      "145 [D loss: (0.751)(R 0.475, F 1.027)] [D acc: (0.500)(0.840, 0.160)] [G loss: 0.862] [G acc: 0.137]\n",
      "146 [D loss: (0.716)(R 0.636, F 0.795)] [D acc: (0.480)(0.617, 0.344)] [G loss: 0.738] [G acc: 0.289]\n",
      "147 [D loss: (0.678)(R 0.569, F 0.786)] [D acc: (0.531)(0.723, 0.340)] [G loss: 0.741] [G acc: 0.250]\n",
      "148 [D loss: (0.693)(R 0.579, F 0.806)] [D acc: (0.531)(0.738, 0.324)] [G loss: 0.763] [G acc: 0.191]\n",
      "149 [D loss: (0.676)(R 0.604, F 0.748)] [D acc: (0.531)(0.648, 0.414)] [G loss: 0.754] [G acc: 0.207]\n",
      "150 [D loss: (0.679)(R 0.590, F 0.767)] [D acc: (0.574)(0.785, 0.363)] [G loss: 0.758] [G acc: 0.168]\n",
      "151 [D loss: (0.678)(R 0.617, F 0.740)] [D acc: (0.584)(0.750, 0.418)] [G loss: 0.783] [G acc: 0.090]\n",
      "152 [D loss: (0.683)(R 0.646, F 0.719)] [D acc: (0.551)(0.609, 0.492)] [G loss: 0.788] [G acc: 0.082]\n",
      "153 [D loss: (0.675)(R 0.648, F 0.701)] [D acc: (0.561)(0.602, 0.520)] [G loss: 0.790] [G acc: 0.062]\n",
      "154 [D loss: (0.665)(R 0.664, F 0.666)] [D acc: (0.607)(0.621, 0.594)] [G loss: 0.793] [G acc: 0.102]\n",
      "155 [D loss: (0.693)(R 0.673, F 0.712)] [D acc: (0.533)(0.578, 0.488)] [G loss: 0.747] [G acc: 0.184]\n",
      "156 [D loss: (0.676)(R 0.627, F 0.724)] [D acc: (0.578)(0.711, 0.445)] [G loss: 0.747] [G acc: 0.203]\n",
      "157 [D loss: (0.678)(R 0.633, F 0.722)] [D acc: (0.543)(0.688, 0.398)] [G loss: 0.745] [G acc: 0.207]\n",
      "158 [D loss: (0.689)(R 0.651, F 0.727)] [D acc: (0.555)(0.652, 0.457)] [G loss: 0.747] [G acc: 0.227]\n",
      "159 [D loss: (0.690)(R 0.653, F 0.728)] [D acc: (0.553)(0.676, 0.430)] [G loss: 0.745] [G acc: 0.207]\n",
      "160 [D loss: (0.690)(R 0.652, F 0.728)] [D acc: (0.539)(0.691, 0.387)] [G loss: 0.763] [G acc: 0.137]\n",
      "161 [D loss: (0.679)(R 0.645, F 0.714)] [D acc: (0.555)(0.676, 0.434)] [G loss: 0.769] [G acc: 0.121]\n",
      "162 [D loss: (0.688)(R 0.675, F 0.701)] [D acc: (0.555)(0.578, 0.531)] [G loss: 0.762] [G acc: 0.133]\n",
      "163 [D loss: (0.690)(R 0.667, F 0.714)] [D acc: (0.539)(0.617, 0.461)] [G loss: 0.772] [G acc: 0.074]\n",
      "164 [D loss: (0.696)(R 0.695, F 0.697)] [D acc: (0.518)(0.492, 0.543)] [G loss: 0.767] [G acc: 0.074]\n",
      "165 [D loss: (0.691)(R 0.669, F 0.713)] [D acc: (0.516)(0.602, 0.430)] [G loss: 0.755] [G acc: 0.102]\n",
      "166 [D loss: (0.690)(R 0.660, F 0.719)] [D acc: (0.533)(0.633, 0.434)] [G loss: 0.757] [G acc: 0.094]\n",
      "167 [D loss: (0.683)(R 0.652, F 0.714)] [D acc: (0.547)(0.598, 0.496)] [G loss: 0.757] [G acc: 0.098]\n",
      "168 [D loss: (0.676)(R 0.652, F 0.700)] [D acc: (0.596)(0.621, 0.570)] [G loss: 0.768] [G acc: 0.121]\n",
      "169 [D loss: (0.708)(R 0.638, F 0.778)] [D acc: (0.473)(0.656, 0.289)] [G loss: 0.768] [G acc: 0.043]\n",
      "170 [D loss: (0.674)(R 0.673, F 0.676)] [D acc: (0.586)(0.516, 0.656)] [G loss: 0.769] [G acc: 0.117]\n",
      "171 [D loss: (0.674)(R 0.620, F 0.728)] [D acc: (0.561)(0.684, 0.438)] [G loss: 0.780] [G acc: 0.051]\n",
      "172 [D loss: (0.683)(R 0.681, F 0.684)] [D acc: (0.588)(0.520, 0.656)] [G loss: 0.808] [G acc: 0.047]\n",
      "173 [D loss: (0.682)(R 0.696, F 0.669)] [D acc: (0.590)(0.418, 0.762)] [G loss: 0.805] [G acc: 0.055]\n",
      "174 [D loss: (0.703)(R 0.695, F 0.712)] [D acc: (0.500)(0.480, 0.520)] [G loss: 0.756] [G acc: 0.055]\n",
      "175 [D loss: (0.666)(R 0.640, F 0.692)] [D acc: (0.641)(0.656, 0.625)] [G loss: 0.767] [G acc: 0.094]\n",
      "176 [D loss: (0.836)(R 0.562, F 1.110)] [D acc: (0.449)(0.801, 0.098)] [G loss: 0.780] [G acc: 0.012]\n",
      "177 [D loss: (0.687)(R 0.719, F 0.655)] [D acc: (0.584)(0.293, 0.875)] [G loss: 0.764] [G acc: 0.070]\n",
      "178 [D loss: (0.679)(R 0.688, F 0.671)] [D acc: (0.600)(0.469, 0.730)] [G loss: 0.762] [G acc: 0.086]\n",
      "179 [D loss: (0.692)(R 0.662, F 0.722)] [D acc: (0.514)(0.566, 0.461)] [G loss: 0.757] [G acc: 0.055]\n",
      "180 [D loss: (0.687)(R 0.668, F 0.707)] [D acc: (0.580)(0.582, 0.578)] [G loss: 0.781] [G acc: 0.078]\n",
      "181 [D loss: (0.701)(R 0.701, F 0.700)] [D acc: (0.469)(0.402, 0.535)] [G loss: 0.751] [G acc: 0.113]\n",
      "182 [D loss: (0.696)(R 0.671, F 0.720)] [D acc: (0.531)(0.543, 0.520)] [G loss: 0.749] [G acc: 0.121]\n",
      "183 [D loss: (0.691)(R 0.678, F 0.704)] [D acc: (0.553)(0.520, 0.586)] [G loss: 0.751] [G acc: 0.082]\n",
      "184 [D loss: (0.685)(R 0.677, F 0.692)] [D acc: (0.564)(0.543, 0.586)] [G loss: 0.745] [G acc: 0.137]\n",
      "185 [D loss: (0.684)(R 0.671, F 0.697)] [D acc: (0.568)(0.566, 0.570)] [G loss: 0.757] [G acc: 0.129]\n",
      "186 [D loss: (0.690)(R 0.676, F 0.704)] [D acc: (0.529)(0.551, 0.508)] [G loss: 0.749] [G acc: 0.109]\n",
      "187 [D loss: (0.693)(R 0.680, F 0.705)] [D acc: (0.529)(0.535, 0.523)] [G loss: 0.762] [G acc: 0.078]\n",
      "188 [D loss: (0.705)(R 0.686, F 0.725)] [D acc: (0.475)(0.465, 0.484)] [G loss: 0.742] [G acc: 0.102]\n",
      "189 [D loss: (0.686)(R 0.686, F 0.685)] [D acc: (0.600)(0.516, 0.684)] [G loss: 0.742] [G acc: 0.133]\n",
      "190 [D loss: (0.710)(R 0.660, F 0.759)] [D acc: (0.486)(0.625, 0.348)] [G loss: 0.769] [G acc: 0.039]\n",
      "191 [D loss: (0.697)(R 0.693, F 0.701)] [D acc: (0.500)(0.465, 0.535)] [G loss: 0.746] [G acc: 0.102]\n",
      "192 [D loss: (0.693)(R 0.691, F 0.694)] [D acc: (0.510)(0.496, 0.523)] [G loss: 0.745] [G acc: 0.109]\n",
      "193 [D loss: (0.685)(R 0.683, F 0.686)] [D acc: (0.592)(0.539, 0.645)] [G loss: 0.754] [G acc: 0.109]\n",
      "194 [D loss: (0.688)(R 0.690, F 0.687)] [D acc: (0.533)(0.426, 0.641)] [G loss: 0.742] [G acc: 0.102]\n",
      "195 [D loss: (0.693)(R 0.686, F 0.700)] [D acc: (0.535)(0.516, 0.555)] [G loss: 0.748] [G acc: 0.070]\n",
      "196 [D loss: (0.694)(R 0.691, F 0.698)] [D acc: (0.496)(0.445, 0.547)] [G loss: 0.741] [G acc: 0.102]\n",
      "197 [D loss: (0.691)(R 0.686, F 0.696)] [D acc: (0.537)(0.512, 0.562)] [G loss: 0.750] [G acc: 0.051]\n",
      "198 [D loss: (0.689)(R 0.688, F 0.690)] [D acc: (0.543)(0.469, 0.617)] [G loss: 0.744] [G acc: 0.121]\n",
      "199 [D loss: (0.703)(R 0.676, F 0.731)] [D acc: (0.471)(0.570, 0.371)] [G loss: 0.757] [G acc: 0.047]\n",
      "200 [D loss: (0.692)(R 0.704, F 0.679)] [D acc: (0.533)(0.352, 0.715)] [G loss: 0.749] [G acc: 0.090]\n",
      "201 [D loss: (0.694)(R 0.689, F 0.698)] [D acc: (0.535)(0.543, 0.527)] [G loss: 0.752] [G acc: 0.055]\n",
      "202 [D loss: (0.688)(R 0.701, F 0.674)] [D acc: (0.557)(0.383, 0.730)] [G loss: 0.743] [G acc: 0.152]\n",
      "203 [D loss: (0.702)(R 0.672, F 0.731)] [D acc: (0.510)(0.625, 0.395)] [G loss: 0.749] [G acc: 0.102]\n",
      "204 [D loss: (0.690)(R 0.693, F 0.687)] [D acc: (0.523)(0.473, 0.574)] [G loss: 0.744] [G acc: 0.098]\n",
      "205 [D loss: (0.691)(R 0.683, F 0.698)] [D acc: (0.518)(0.535, 0.500)] [G loss: 0.748] [G acc: 0.090]\n",
      "206 [D loss: (0.686)(R 0.684, F 0.689)] [D acc: (0.592)(0.547, 0.637)] [G loss: 0.750] [G acc: 0.055]\n",
      "207 [D loss: (0.692)(R 0.693, F 0.692)] [D acc: (0.516)(0.453, 0.578)] [G loss: 0.755] [G acc: 0.043]\n",
      "208 [D loss: (0.688)(R 0.696, F 0.680)] [D acc: (0.555)(0.441, 0.668)] [G loss: 0.746] [G acc: 0.070]\n",
      "209 [D loss: (0.690)(R 0.674, F 0.705)] [D acc: (0.523)(0.547, 0.500)] [G loss: 0.747] [G acc: 0.137]\n",
      "210 [D loss: (0.700)(R 0.686, F 0.715)] [D acc: (0.443)(0.500, 0.387)] [G loss: 0.753] [G acc: 0.051]\n",
      "211 [D loss: (0.694)(R 0.704, F 0.684)] [D acc: (0.525)(0.410, 0.641)] [G loss: 0.737] [G acc: 0.133]\n",
      "212 [D loss: (0.694)(R 0.692, F 0.695)] [D acc: (0.506)(0.449, 0.562)] [G loss: 0.739] [G acc: 0.121]\n",
      "213 [D loss: (0.687)(R 0.691, F 0.683)] [D acc: (0.574)(0.512, 0.637)] [G loss: 0.740] [G acc: 0.086]\n",
      "214 [D loss: (0.688)(R 0.680, F 0.696)] [D acc: (0.553)(0.586, 0.520)] [G loss: 0.744] [G acc: 0.113]\n",
      "215 [D loss: (0.684)(R 0.682, F 0.687)] [D acc: (0.602)(0.598, 0.605)] [G loss: 0.748] [G acc: 0.102]\n",
      "216 [D loss: (0.687)(R 0.678, F 0.697)] [D acc: (0.566)(0.609, 0.523)] [G loss: 0.756] [G acc: 0.090]\n",
      "217 [D loss: (0.689)(R 0.681, F 0.697)] [D acc: (0.559)(0.535, 0.582)] [G loss: 0.755] [G acc: 0.055]\n",
      "218 [D loss: (0.695)(R 0.684, F 0.706)] [D acc: (0.539)(0.531, 0.547)] [G loss: 0.775] [G acc: 0.066]\n",
      "219 [D loss: (0.687)(R 0.702, F 0.672)] [D acc: (0.576)(0.426, 0.727)] [G loss: 0.816] [G acc: 0.016]\n",
      "220 [D loss: (0.693)(R 0.668, F 0.718)] [D acc: (0.523)(0.570, 0.477)] [G loss: 0.755] [G acc: 0.117]\n",
      "221 [D loss: (0.696)(R 0.680, F 0.712)] [D acc: (0.555)(0.562, 0.547)] [G loss: 0.771] [G acc: 0.039]\n",
      "222 [D loss: (0.682)(R 0.666, F 0.697)] [D acc: (0.574)(0.613, 0.535)] [G loss: 0.771] [G acc: 0.117]\n",
      "223 [D loss: (0.688)(R 0.690, F 0.687)] [D acc: (0.533)(0.465, 0.602)] [G loss: 0.768] [G acc: 0.055]\n",
      "224 [D loss: (0.689)(R 0.690, F 0.689)] [D acc: (0.539)(0.480, 0.598)] [G loss: 0.742] [G acc: 0.172]\n",
      "225 [D loss: (0.704)(R 0.683, F 0.726)] [D acc: (0.488)(0.512, 0.465)] [G loss: 0.737] [G acc: 0.125]\n",
      "226 [D loss: (0.688)(R 0.694, F 0.682)] [D acc: (0.561)(0.461, 0.660)] [G loss: 0.733] [G acc: 0.180]\n",
      "227 [D loss: (0.692)(R 0.683, F 0.702)] [D acc: (0.525)(0.535, 0.516)] [G loss: 0.739] [G acc: 0.117]\n",
      "228 [D loss: (0.688)(R 0.684, F 0.692)] [D acc: (0.551)(0.520, 0.582)] [G loss: 0.737] [G acc: 0.133]\n",
      "229 [D loss: (0.686)(R 0.677, F 0.695)] [D acc: (0.543)(0.559, 0.527)] [G loss: 0.741] [G acc: 0.129]\n",
      "230 [D loss: (0.690)(R 0.675, F 0.704)] [D acc: (0.562)(0.586, 0.539)] [G loss: 0.742] [G acc: 0.117]\n",
      "231 [D loss: (0.688)(R 0.672, F 0.703)] [D acc: (0.541)(0.566, 0.516)] [G loss: 0.744] [G acc: 0.145]\n",
      "232 [D loss: (0.683)(R 0.681, F 0.684)] [D acc: (0.559)(0.469, 0.648)] [G loss: 0.759] [G acc: 0.047]\n",
      "233 [D loss: (0.689)(R 0.692, F 0.687)] [D acc: (0.510)(0.465, 0.555)] [G loss: 0.772] [G acc: 0.047]\n",
      "234 [D loss: (0.682)(R 0.680, F 0.684)] [D acc: (0.557)(0.477, 0.637)] [G loss: 0.760] [G acc: 0.016]\n",
      "235 [D loss: (0.705)(R 0.669, F 0.742)] [D acc: (0.459)(0.496, 0.422)] [G loss: 0.747] [G acc: 0.109]\n",
      "236 [D loss: (0.688)(R 0.686, F 0.689)] [D acc: (0.570)(0.500, 0.641)] [G loss: 0.736] [G acc: 0.102]\n",
      "237 [D loss: (0.686)(R 0.678, F 0.694)] [D acc: (0.559)(0.562, 0.555)] [G loss: 0.734] [G acc: 0.156]\n",
      "238 [D loss: (0.682)(R 0.673, F 0.690)] [D acc: (0.562)(0.582, 0.543)] [G loss: 0.749] [G acc: 0.121]\n",
      "239 [D loss: (0.700)(R 0.688, F 0.712)] [D acc: (0.494)(0.520, 0.469)] [G loss: 0.744] [G acc: 0.086]\n",
      "240 [D loss: (0.687)(R 0.687, F 0.687)] [D acc: (0.568)(0.508, 0.629)] [G loss: 0.744] [G acc: 0.172]\n",
      "241 [D loss: (0.690)(R 0.688, F 0.692)] [D acc: (0.547)(0.477, 0.617)] [G loss: 0.736] [G acc: 0.078]\n",
      "242 [D loss: (0.684)(R 0.678, F 0.691)] [D acc: (0.566)(0.531, 0.602)] [G loss: 0.766] [G acc: 0.086]\n",
      "243 [D loss: (0.678)(R 0.690, F 0.667)] [D acc: (0.604)(0.430, 0.777)] [G loss: 0.780] [G acc: 0.043]\n",
      "244 [D loss: (0.690)(R 0.657, F 0.722)] [D acc: (0.516)(0.637, 0.395)] [G loss: 0.756] [G acc: 0.125]\n",
      "245 [D loss: (0.694)(R 0.678, F 0.709)] [D acc: (0.506)(0.539, 0.473)] [G loss: 0.745] [G acc: 0.129]\n",
      "246 [D loss: (0.689)(R 0.661, F 0.717)] [D acc: (0.545)(0.621, 0.469)] [G loss: 0.745] [G acc: 0.148]\n",
      "247 [D loss: (0.679)(R 0.671, F 0.686)] [D acc: (0.586)(0.559, 0.613)] [G loss: 0.737] [G acc: 0.184]\n",
      "248 [D loss: (0.693)(R 0.672, F 0.713)] [D acc: (0.527)(0.559, 0.496)] [G loss: 0.738] [G acc: 0.148]\n",
      "249 [D loss: (0.676)(R 0.674, F 0.679)] [D acc: (0.617)(0.551, 0.684)] [G loss: 0.769] [G acc: 0.070]\n",
      "250 [D loss: (0.669)(R 0.659, F 0.679)] [D acc: (0.625)(0.613, 0.637)] [G loss: 0.849] [G acc: 0.035]\n",
      "251 [D loss: (0.690)(R 0.701, F 0.678)] [D acc: (0.549)(0.453, 0.645)] [G loss: 0.808] [G acc: 0.023]\n",
      "252 [D loss: (0.693)(R 0.669, F 0.718)] [D acc: (0.506)(0.562, 0.449)] [G loss: 0.746] [G acc: 0.156]\n",
      "253 [D loss: (0.687)(R 0.671, F 0.703)] [D acc: (0.541)(0.605, 0.477)] [G loss: 0.759] [G acc: 0.145]\n",
      "254 [D loss: (0.681)(R 0.658, F 0.704)] [D acc: (0.568)(0.668, 0.469)] [G loss: 0.767] [G acc: 0.121]\n",
      "255 [D loss: (0.686)(R 0.679, F 0.692)] [D acc: (0.541)(0.523, 0.559)] [G loss: 0.768] [G acc: 0.094]\n",
      "256 [D loss: (0.675)(R 0.661, F 0.689)] [D acc: (0.621)(0.613, 0.629)] [G loss: 0.776] [G acc: 0.066]\n",
      "257 [D loss: (0.688)(R 0.656, F 0.720)] [D acc: (0.557)(0.617, 0.496)] [G loss: 0.778] [G acc: 0.090]\n",
      "258 [D loss: (0.673)(R 0.653, F 0.693)] [D acc: (0.607)(0.660, 0.555)] [G loss: 0.770] [G acc: 0.129]\n",
      "259 [D loss: (0.690)(R 0.644, F 0.737)] [D acc: (0.527)(0.633, 0.422)] [G loss: 0.760] [G acc: 0.133]\n",
      "260 [D loss: (0.676)(R 0.659, F 0.693)] [D acc: (0.627)(0.625, 0.629)] [G loss: 0.761] [G acc: 0.129]\n",
      "261 [D loss: (0.685)(R 0.642, F 0.727)] [D acc: (0.561)(0.656, 0.465)] [G loss: 0.773] [G acc: 0.145]\n",
      "262 [D loss: (0.659)(R 0.646, F 0.672)] [D acc: (0.674)(0.664, 0.684)] [G loss: 0.781] [G acc: 0.121]\n",
      "263 [D loss: (0.682)(R 0.614, F 0.750)] [D acc: (0.551)(0.660, 0.441)] [G loss: 0.822] [G acc: 0.074]\n",
      "264 [D loss: (0.669)(R 0.684, F 0.654)] [D acc: (0.613)(0.488, 0.738)] [G loss: 0.830] [G acc: 0.074]\n",
      "265 [D loss: (0.681)(R 0.616, F 0.747)] [D acc: (0.547)(0.680, 0.414)] [G loss: 0.802] [G acc: 0.098]\n",
      "266 [D loss: (0.680)(R 0.630, F 0.730)] [D acc: (0.559)(0.695, 0.422)] [G loss: 0.779] [G acc: 0.156]\n",
      "267 [D loss: (0.688)(R 0.638, F 0.738)] [D acc: (0.564)(0.668, 0.461)] [G loss: 0.750] [G acc: 0.211]\n",
      "268 [D loss: (0.680)(R 0.647, F 0.713)] [D acc: (0.553)(0.633, 0.473)] [G loss: 0.761] [G acc: 0.188]\n",
      "269 [D loss: (0.681)(R 0.637, F 0.725)] [D acc: (0.568)(0.699, 0.438)] [G loss: 0.787] [G acc: 0.133]\n",
      "270 [D loss: (0.676)(R 0.662, F 0.689)] [D acc: (0.582)(0.582, 0.582)] [G loss: 0.762] [G acc: 0.195]\n",
      "271 [D loss: (0.673)(R 0.648, F 0.698)] [D acc: (0.590)(0.637, 0.543)] [G loss: 0.783] [G acc: 0.148]\n",
      "272 [D loss: (0.671)(R 0.650, F 0.692)] [D acc: (0.584)(0.602, 0.566)] [G loss: 0.786] [G acc: 0.121]\n",
      "273 [D loss: (0.684)(R 0.657, F 0.711)] [D acc: (0.566)(0.602, 0.531)] [G loss: 0.765] [G acc: 0.145]\n",
      "274 [D loss: (0.679)(R 0.643, F 0.714)] [D acc: (0.572)(0.641, 0.504)] [G loss: 0.766] [G acc: 0.156]\n",
      "275 [D loss: (0.681)(R 0.604, F 0.757)] [D acc: (0.543)(0.699, 0.387)] [G loss: 0.802] [G acc: 0.156]\n",
      "276 [D loss: (0.668)(R 0.640, F 0.696)] [D acc: (0.613)(0.629, 0.598)] [G loss: 0.793] [G acc: 0.078]\n",
      "277 [D loss: (0.689)(R 0.606, F 0.773)] [D acc: (0.574)(0.723, 0.426)] [G loss: 0.800] [G acc: 0.125]\n",
      "278 [D loss: (0.685)(R 0.680, F 0.690)] [D acc: (0.547)(0.504, 0.590)] [G loss: 0.772] [G acc: 0.125]\n",
      "279 [D loss: (0.666)(R 0.660, F 0.672)] [D acc: (0.623)(0.594, 0.652)] [G loss: 0.791] [G acc: 0.137]\n",
      "280 [D loss: (0.679)(R 0.654, F 0.704)] [D acc: (0.553)(0.562, 0.543)] [G loss: 0.772] [G acc: 0.168]\n",
      "281 [D loss: (0.676)(R 0.645, F 0.707)] [D acc: (0.562)(0.598, 0.527)] [G loss: 0.787] [G acc: 0.113]\n",
      "282 [D loss: (0.680)(R 0.651, F 0.709)] [D acc: (0.545)(0.582, 0.508)] [G loss: 0.780] [G acc: 0.098]\n",
      "283 [D loss: (0.660)(R 0.639, F 0.681)] [D acc: (0.625)(0.637, 0.613)] [G loss: 0.790] [G acc: 0.148]\n",
      "284 [D loss: (0.677)(R 0.635, F 0.718)] [D acc: (0.592)(0.648, 0.535)] [G loss: 0.786] [G acc: 0.113]\n",
      "285 [D loss: (0.658)(R 0.630, F 0.685)] [D acc: (0.623)(0.629, 0.617)] [G loss: 0.889] [G acc: 0.055]\n",
      "286 [D loss: (0.658)(R 0.681, F 0.636)] [D acc: (0.656)(0.512, 0.801)] [G loss: 0.887] [G acc: 0.059]\n",
      "287 [D loss: (0.689)(R 0.583, F 0.795)] [D acc: (0.551)(0.738, 0.363)] [G loss: 0.808] [G acc: 0.195]\n",
      "288 [D loss: (0.677)(R 0.598, F 0.757)] [D acc: (0.535)(0.695, 0.375)] [G loss: 0.774] [G acc: 0.230]\n",
      "289 [D loss: (0.670)(R 0.612, F 0.728)] [D acc: (0.592)(0.703, 0.480)] [G loss: 0.786] [G acc: 0.227]\n",
      "290 [D loss: (0.669)(R 0.628, F 0.710)] [D acc: (0.580)(0.629, 0.531)] [G loss: 0.777] [G acc: 0.234]\n",
      "291 [D loss: (0.677)(R 0.644, F 0.710)] [D acc: (0.568)(0.637, 0.500)] [G loss: 0.786] [G acc: 0.199]\n",
      "292 [D loss: (0.661)(R 0.655, F 0.668)] [D acc: (0.643)(0.602, 0.684)] [G loss: 0.841] [G acc: 0.082]\n",
      "293 [D loss: (0.648)(R 0.628, F 0.668)] [D acc: (0.643)(0.652, 0.633)] [G loss: 0.966] [G acc: 0.113]\n",
      "294 [D loss: (0.674)(R 0.683, F 0.665)] [D acc: (0.586)(0.508, 0.664)] [G loss: 0.873] [G acc: 0.082]\n",
      "295 [D loss: (0.688)(R 0.644, F 0.732)] [D acc: (0.576)(0.645, 0.508)] [G loss: 0.794] [G acc: 0.152]\n",
      "296 [D loss: (0.680)(R 0.645, F 0.715)] [D acc: (0.564)(0.598, 0.531)] [G loss: 0.776] [G acc: 0.156]\n",
      "297 [D loss: (0.681)(R 0.643, F 0.718)] [D acc: (0.549)(0.594, 0.504)] [G loss: 0.777] [G acc: 0.184]\n",
      "298 [D loss: (0.672)(R 0.634, F 0.711)] [D acc: (0.594)(0.680, 0.508)] [G loss: 0.798] [G acc: 0.172]\n",
      "299 [D loss: (0.671)(R 0.637, F 0.704)] [D acc: (0.604)(0.609, 0.598)] [G loss: 0.790] [G acc: 0.168]\n",
      "300 [D loss: (0.672)(R 0.649, F 0.695)] [D acc: (0.592)(0.594, 0.590)] [G loss: 0.798] [G acc: 0.188]\n",
      "301 [D loss: (0.662)(R 0.653, F 0.671)] [D acc: (0.621)(0.578, 0.664)] [G loss: 0.786] [G acc: 0.125]\n",
      "302 [D loss: (0.676)(R 0.625, F 0.727)] [D acc: (0.580)(0.645, 0.516)] [G loss: 0.799] [G acc: 0.180]\n",
      "303 [D loss: (0.685)(R 0.641, F 0.729)] [D acc: (0.557)(0.578, 0.535)] [G loss: 0.782] [G acc: 0.113]\n",
      "304 [D loss: (0.665)(R 0.662, F 0.668)] [D acc: (0.611)(0.551, 0.672)] [G loss: 0.780] [G acc: 0.172]\n",
      "305 [D loss: (0.693)(R 0.629, F 0.758)] [D acc: (0.566)(0.652, 0.480)] [G loss: 0.815] [G acc: 0.145]\n",
      "306 [D loss: (0.659)(R 0.659, F 0.659)] [D acc: (0.650)(0.590, 0.711)] [G loss: 0.814] [G acc: 0.090]\n",
      "307 [D loss: (0.660)(R 0.610, F 0.710)] [D acc: (0.600)(0.664, 0.535)] [G loss: 0.823] [G acc: 0.152]\n",
      "308 [D loss: (0.652)(R 0.633, F 0.672)] [D acc: (0.613)(0.602, 0.625)] [G loss: 0.840] [G acc: 0.102]\n",
      "309 [D loss: (0.699)(R 0.630, F 0.768)] [D acc: (0.549)(0.617, 0.480)] [G loss: 0.810] [G acc: 0.184]\n",
      "310 [D loss: (0.654)(R 0.655, F 0.652)] [D acc: (0.641)(0.551, 0.730)] [G loss: 0.812] [G acc: 0.121]\n",
      "311 [D loss: (0.664)(R 0.591, F 0.736)] [D acc: (0.602)(0.703, 0.500)] [G loss: 0.855] [G acc: 0.180]\n",
      "312 [D loss: (0.646)(R 0.659, F 0.634)] [D acc: (0.668)(0.598, 0.738)] [G loss: 0.900] [G acc: 0.074]\n",
      "313 [D loss: (0.642)(R 0.614, F 0.669)] [D acc: (0.629)(0.633, 0.625)] [G loss: 0.888] [G acc: 0.137]\n",
      "314 [D loss: (0.677)(R 0.599, F 0.756)] [D acc: (0.586)(0.688, 0.484)] [G loss: 0.825] [G acc: 0.102]\n",
      "315 [D loss: (0.682)(R 0.641, F 0.723)] [D acc: (0.535)(0.586, 0.484)] [G loss: 0.783] [G acc: 0.195]\n",
      "316 [D loss: (0.666)(R 0.629, F 0.702)] [D acc: (0.619)(0.652, 0.586)] [G loss: 0.823] [G acc: 0.172]\n",
      "317 [D loss: (0.647)(R 0.613, F 0.680)] [D acc: (0.623)(0.672, 0.574)] [G loss: 0.827] [G acc: 0.121]\n",
      "318 [D loss: (0.683)(R 0.609, F 0.757)] [D acc: (0.564)(0.668, 0.461)] [G loss: 0.834] [G acc: 0.184]\n",
      "319 [D loss: (0.652)(R 0.623, F 0.681)] [D acc: (0.646)(0.668, 0.625)] [G loss: 0.853] [G acc: 0.113]\n",
      "320 [D loss: (0.664)(R 0.631, F 0.698)] [D acc: (0.600)(0.668, 0.531)] [G loss: 0.836] [G acc: 0.227]\n",
      "321 [D loss: (0.664)(R 0.621, F 0.708)] [D acc: (0.592)(0.617, 0.566)] [G loss: 0.831] [G acc: 0.141]\n",
      "322 [D loss: (0.673)(R 0.621, F 0.725)] [D acc: (0.586)(0.668, 0.504)] [G loss: 0.854] [G acc: 0.168]\n",
      "323 [D loss: (0.667)(R 0.653, F 0.680)] [D acc: (0.592)(0.570, 0.613)] [G loss: 0.837] [G acc: 0.109]\n",
      "324 [D loss: (0.663)(R 0.627, F 0.699)] [D acc: (0.598)(0.641, 0.555)] [G loss: 0.849] [G acc: 0.152]\n",
      "325 [D loss: (0.650)(R 0.624, F 0.675)] [D acc: (0.654)(0.645, 0.664)] [G loss: 0.837] [G acc: 0.121]\n",
      "326 [D loss: (0.678)(R 0.609, F 0.747)] [D acc: (0.568)(0.648, 0.488)] [G loss: 0.875] [G acc: 0.125]\n",
      "327 [D loss: (0.659)(R 0.655, F 0.663)] [D acc: (0.615)(0.566, 0.664)] [G loss: 0.850] [G acc: 0.121]\n",
      "328 [D loss: (0.653)(R 0.602, F 0.704)] [D acc: (0.611)(0.680, 0.543)] [G loss: 0.831] [G acc: 0.223]\n",
      "329 [D loss: (0.634)(R 0.597, F 0.670)] [D acc: (0.660)(0.668, 0.652)] [G loss: 0.817] [G acc: 0.184]\n",
      "330 [D loss: (0.663)(R 0.571, F 0.754)] [D acc: (0.613)(0.750, 0.477)] [G loss: 0.999] [G acc: 0.090]\n",
      "331 [D loss: (0.670)(R 0.698, F 0.642)] [D acc: (0.611)(0.523, 0.699)] [G loss: 0.931] [G acc: 0.051]\n",
      "332 [D loss: (0.647)(R 0.583, F 0.711)] [D acc: (0.637)(0.730, 0.543)] [G loss: 0.909] [G acc: 0.184]\n",
      "333 [D loss: (0.670)(R 0.599, F 0.741)] [D acc: (0.598)(0.695, 0.500)] [G loss: 0.840] [G acc: 0.133]\n",
      "334 [D loss: (0.677)(R 0.633, F 0.721)] [D acc: (0.572)(0.617, 0.527)] [G loss: 0.843] [G acc: 0.168]\n",
      "335 [D loss: (0.675)(R 0.642, F 0.707)] [D acc: (0.580)(0.625, 0.535)] [G loss: 0.822] [G acc: 0.152]\n",
      "336 [D loss: (0.669)(R 0.623, F 0.716)] [D acc: (0.604)(0.641, 0.566)] [G loss: 0.820] [G acc: 0.215]\n",
      "337 [D loss: (0.664)(R 0.631, F 0.696)] [D acc: (0.596)(0.625, 0.566)] [G loss: 0.812] [G acc: 0.156]\n",
      "338 [D loss: (0.667)(R 0.629, F 0.706)] [D acc: (0.586)(0.633, 0.539)] [G loss: 0.872] [G acc: 0.129]\n",
      "339 [D loss: (0.655)(R 0.658, F 0.652)] [D acc: (0.629)(0.527, 0.730)] [G loss: 0.845] [G acc: 0.125]\n",
      "340 [D loss: (0.677)(R 0.644, F 0.709)] [D acc: (0.586)(0.625, 0.547)] [G loss: 0.867] [G acc: 0.109]\n",
      "341 [D loss: (0.662)(R 0.664, F 0.661)] [D acc: (0.613)(0.566, 0.660)] [G loss: 0.840] [G acc: 0.129]\n",
      "342 [D loss: (0.665)(R 0.637, F 0.692)] [D acc: (0.592)(0.582, 0.602)] [G loss: 0.859] [G acc: 0.145]\n",
      "343 [D loss: (0.657)(R 0.661, F 0.654)] [D acc: (0.635)(0.566, 0.703)] [G loss: 0.865] [G acc: 0.109]\n",
      "344 [D loss: (0.669)(R 0.601, F 0.737)] [D acc: (0.570)(0.637, 0.504)] [G loss: 0.866] [G acc: 0.168]\n",
      "345 [D loss: (0.638)(R 0.628, F 0.647)] [D acc: (0.662)(0.629, 0.695)] [G loss: 0.868] [G acc: 0.145]\n",
      "346 [D loss: (0.706)(R 0.643, F 0.769)] [D acc: (0.543)(0.598, 0.488)] [G loss: 0.834] [G acc: 0.180]\n",
      "347 [D loss: (0.665)(R 0.649, F 0.680)] [D acc: (0.605)(0.574, 0.637)] [G loss: 0.825] [G acc: 0.145]\n",
      "348 [D loss: (0.680)(R 0.647, F 0.713)] [D acc: (0.570)(0.598, 0.543)] [G loss: 0.846] [G acc: 0.121]\n",
      "349 [D loss: (0.685)(R 0.684, F 0.686)] [D acc: (0.559)(0.492, 0.625)] [G loss: 0.804] [G acc: 0.191]\n",
      "350 [D loss: (0.673)(R 0.656, F 0.690)] [D acc: (0.570)(0.559, 0.582)] [G loss: 0.848] [G acc: 0.125]\n",
      "351 [D loss: (0.640)(R 0.657, F 0.623)] [D acc: (0.682)(0.590, 0.773)] [G loss: 0.857] [G acc: 0.137]\n",
      "352 [D loss: (0.666)(R 0.618, F 0.715)] [D acc: (0.572)(0.621, 0.523)] [G loss: 0.909] [G acc: 0.113]\n",
      "353 [D loss: (0.672)(R 0.614, F 0.729)] [D acc: (0.594)(0.652, 0.535)] [G loss: 0.862] [G acc: 0.086]\n",
      "354 [D loss: (0.671)(R 0.652, F 0.690)] [D acc: (0.580)(0.559, 0.602)] [G loss: 0.815] [G acc: 0.207]\n",
      "355 [D loss: (0.698)(R 0.657, F 0.739)] [D acc: (0.525)(0.559, 0.492)] [G loss: 0.813] [G acc: 0.125]\n",
      "356 [D loss: (0.672)(R 0.655, F 0.689)] [D acc: (0.588)(0.574, 0.602)] [G loss: 0.808] [G acc: 0.156]\n",
      "357 [D loss: (0.667)(R 0.638, F 0.697)] [D acc: (0.617)(0.625, 0.609)] [G loss: 0.841] [G acc: 0.121]\n",
      "358 [D loss: (0.662)(R 0.653, F 0.670)] [D acc: (0.629)(0.562, 0.695)] [G loss: 0.845] [G acc: 0.102]\n",
      "359 [D loss: (0.669)(R 0.658, F 0.680)] [D acc: (0.580)(0.562, 0.598)] [G loss: 0.807] [G acc: 0.168]\n",
      "360 [D loss: (0.671)(R 0.646, F 0.696)] [D acc: (0.574)(0.582, 0.566)] [G loss: 0.838] [G acc: 0.156]\n",
      "361 [D loss: (0.659)(R 0.633, F 0.686)] [D acc: (0.625)(0.625, 0.625)] [G loss: 0.829] [G acc: 0.152]\n",
      "362 [D loss: (0.667)(R 0.637, F 0.697)] [D acc: (0.600)(0.598, 0.602)] [G loss: 0.828] [G acc: 0.164]\n",
      "363 [D loss: (0.656)(R 0.622, F 0.691)] [D acc: (0.625)(0.633, 0.617)] [G loss: 0.833] [G acc: 0.125]\n",
      "364 [D loss: (0.649)(R 0.604, F 0.694)] [D acc: (0.629)(0.668, 0.590)] [G loss: 0.917] [G acc: 0.109]\n",
      "365 [D loss: (0.669)(R 0.676, F 0.661)] [D acc: (0.615)(0.531, 0.699)] [G loss: 0.907] [G acc: 0.059]\n",
      "366 [D loss: (0.652)(R 0.610, F 0.695)] [D acc: (0.611)(0.637, 0.586)] [G loss: 0.817] [G acc: 0.199]\n",
      "367 [D loss: (0.678)(R 0.589, F 0.767)] [D acc: (0.588)(0.688, 0.488)] [G loss: 0.826] [G acc: 0.145]\n",
      "368 [D loss: (0.669)(R 0.657, F 0.681)] [D acc: (0.562)(0.504, 0.621)] [G loss: 0.832] [G acc: 0.164]\n",
      "369 [D loss: (0.653)(R 0.625, F 0.682)] [D acc: (0.631)(0.648, 0.613)] [G loss: 0.821] [G acc: 0.168]\n",
      "370 [D loss: (0.658)(R 0.608, F 0.709)] [D acc: (0.605)(0.645, 0.566)] [G loss: 0.832] [G acc: 0.164]\n",
      "371 [D loss: (0.671)(R 0.662, F 0.680)] [D acc: (0.588)(0.551, 0.625)] [G loss: 0.862] [G acc: 0.102]\n",
      "372 [D loss: (0.657)(R 0.650, F 0.664)] [D acc: (0.613)(0.594, 0.633)] [G loss: 0.861] [G acc: 0.148]\n",
      "373 [D loss: (0.653)(R 0.611, F 0.695)] [D acc: (0.631)(0.656, 0.605)] [G loss: 0.863] [G acc: 0.133]\n",
      "374 [D loss: (0.666)(R 0.637, F 0.694)] [D acc: (0.584)(0.613, 0.555)] [G loss: 0.836] [G acc: 0.160]\n",
      "375 [D loss: (0.658)(R 0.624, F 0.692)] [D acc: (0.598)(0.617, 0.578)] [G loss: 0.841] [G acc: 0.164]\n",
      "376 [D loss: (0.659)(R 0.601, F 0.718)] [D acc: (0.621)(0.680, 0.562)] [G loss: 0.855] [G acc: 0.141]\n",
      "377 [D loss: (0.673)(R 0.663, F 0.684)] [D acc: (0.590)(0.527, 0.652)] [G loss: 0.836] [G acc: 0.145]\n",
      "378 [D loss: (0.653)(R 0.615, F 0.690)] [D acc: (0.643)(0.668, 0.617)] [G loss: 0.877] [G acc: 0.133]\n",
      "379 [D loss: (0.655)(R 0.615, F 0.695)] [D acc: (0.617)(0.625, 0.609)] [G loss: 0.884] [G acc: 0.090]\n",
      "380 [D loss: (0.668)(R 0.617, F 0.718)] [D acc: (0.594)(0.621, 0.566)] [G loss: 0.841] [G acc: 0.219]\n",
      "381 [D loss: (0.643)(R 0.588, F 0.698)] [D acc: (0.656)(0.668, 0.645)] [G loss: 0.862] [G acc: 0.148]\n",
      "382 [D loss: (0.639)(R 0.613, F 0.665)] [D acc: (0.623)(0.625, 0.621)] [G loss: 0.961] [G acc: 0.094]\n",
      "383 [D loss: (0.620)(R 0.604, F 0.636)] [D acc: (0.701)(0.656, 0.746)] [G loss: 0.943] [G acc: 0.074]\n",
      "384 [D loss: (0.649)(R 0.585, F 0.713)] [D acc: (0.607)(0.656, 0.559)] [G loss: 0.967] [G acc: 0.148]\n",
      "385 [D loss: (0.649)(R 0.610, F 0.687)] [D acc: (0.648)(0.660, 0.637)] [G loss: 0.913] [G acc: 0.109]\n",
      "386 [D loss: (0.653)(R 0.572, F 0.734)] [D acc: (0.596)(0.660, 0.531)] [G loss: 0.934] [G acc: 0.164]\n",
      "387 [D loss: (0.659)(R 0.640, F 0.678)] [D acc: (0.592)(0.555, 0.629)] [G loss: 0.874] [G acc: 0.102]\n",
      "388 [D loss: (0.645)(R 0.591, F 0.699)] [D acc: (0.627)(0.648, 0.605)] [G loss: 0.856] [G acc: 0.172]\n",
      "389 [D loss: (0.664)(R 0.586, F 0.743)] [D acc: (0.607)(0.668, 0.547)] [G loss: 0.842] [G acc: 0.168]\n",
      "390 [D loss: (0.660)(R 0.632, F 0.688)] [D acc: (0.590)(0.617, 0.562)] [G loss: 0.876] [G acc: 0.180]\n",
      "391 [D loss: (0.650)(R 0.636, F 0.665)] [D acc: (0.623)(0.598, 0.648)] [G loss: 0.843] [G acc: 0.145]\n",
      "392 [D loss: (0.642)(R 0.607, F 0.678)] [D acc: (0.654)(0.660, 0.648)] [G loss: 0.866] [G acc: 0.168]\n",
      "393 [D loss: (0.665)(R 0.637, F 0.693)] [D acc: (0.592)(0.586, 0.598)] [G loss: 0.851] [G acc: 0.188]\n",
      "394 [D loss: (0.653)(R 0.614, F 0.692)] [D acc: (0.637)(0.637, 0.637)] [G loss: 0.873] [G acc: 0.148]\n",
      "395 [D loss: (0.656)(R 0.646, F 0.666)] [D acc: (0.637)(0.586, 0.688)] [G loss: 0.845] [G acc: 0.203]\n",
      "396 [D loss: (0.650)(R 0.626, F 0.674)] [D acc: (0.617)(0.617, 0.617)] [G loss: 0.927] [G acc: 0.133]\n",
      "397 [D loss: (0.644)(R 0.633, F 0.655)] [D acc: (0.648)(0.605, 0.691)] [G loss: 0.902] [G acc: 0.094]\n",
      "398 [D loss: (0.684)(R 0.613, F 0.756)] [D acc: (0.568)(0.652, 0.484)] [G loss: 0.901] [G acc: 0.145]\n",
      "399 [D loss: (0.650)(R 0.660, F 0.640)] [D acc: (0.654)(0.582, 0.727)] [G loss: 0.875] [G acc: 0.141]\n",
      "400 [D loss: (0.663)(R 0.620, F 0.706)] [D acc: (0.602)(0.645, 0.559)] [G loss: 0.888] [G acc: 0.168]\n",
      "401 [D loss: (0.646)(R 0.644, F 0.648)] [D acc: (0.641)(0.582, 0.699)] [G loss: 0.889] [G acc: 0.156]\n",
      "402 [D loss: (0.676)(R 0.639, F 0.712)] [D acc: (0.584)(0.617, 0.551)] [G loss: 0.838] [G acc: 0.227]\n",
      "403 [D loss: (0.658)(R 0.627, F 0.689)] [D acc: (0.611)(0.609, 0.613)] [G loss: 0.888] [G acc: 0.086]\n",
      "404 [D loss: (0.663)(R 0.595, F 0.731)] [D acc: (0.609)(0.668, 0.551)] [G loss: 0.874] [G acc: 0.168]\n",
      "405 [D loss: (0.643)(R 0.642, F 0.644)] [D acc: (0.664)(0.566, 0.762)] [G loss: 0.868] [G acc: 0.133]\n",
      "406 [D loss: (0.664)(R 0.599, F 0.729)] [D acc: (0.578)(0.629, 0.527)] [G loss: 0.864] [G acc: 0.172]\n",
      "407 [D loss: (0.652)(R 0.601, F 0.704)] [D acc: (0.605)(0.656, 0.555)] [G loss: 0.878] [G acc: 0.172]\n",
      "408 [D loss: (0.652)(R 0.620, F 0.684)] [D acc: (0.633)(0.645, 0.621)] [G loss: 0.846] [G acc: 0.184]\n",
      "409 [D loss: (0.653)(R 0.635, F 0.672)] [D acc: (0.611)(0.602, 0.621)] [G loss: 0.909] [G acc: 0.164]\n",
      "410 [D loss: (0.656)(R 0.680, F 0.633)] [D acc: (0.617)(0.504, 0.730)] [G loss: 0.886] [G acc: 0.109]\n",
      "411 [D loss: (0.687)(R 0.624, F 0.750)] [D acc: (0.580)(0.652, 0.508)] [G loss: 0.889] [G acc: 0.148]\n",
      "412 [D loss: (0.648)(R 0.667, F 0.629)] [D acc: (0.643)(0.523, 0.762)] [G loss: 0.899] [G acc: 0.082]\n",
      "413 [D loss: (0.669)(R 0.626, F 0.711)] [D acc: (0.572)(0.598, 0.547)] [G loss: 0.865] [G acc: 0.199]\n",
      "414 [D loss: (0.647)(R 0.622, F 0.673)] [D acc: (0.607)(0.594, 0.621)] [G loss: 0.855] [G acc: 0.180]\n",
      "415 [D loss: (0.657)(R 0.611, F 0.704)] [D acc: (0.639)(0.652, 0.625)] [G loss: 0.950] [G acc: 0.137]\n",
      "416 [D loss: (0.662)(R 0.668, F 0.655)] [D acc: (0.629)(0.566, 0.691)] [G loss: 0.920] [G acc: 0.062]\n",
      "417 [D loss: (0.671)(R 0.619, F 0.724)] [D acc: (0.604)(0.664, 0.543)] [G loss: 0.857] [G acc: 0.156]\n",
      "418 [D loss: (0.664)(R 0.623, F 0.705)] [D acc: (0.596)(0.605, 0.586)] [G loss: 0.846] [G acc: 0.199]\n",
      "419 [D loss: (0.681)(R 0.655, F 0.707)] [D acc: (0.574)(0.531, 0.617)] [G loss: 0.842] [G acc: 0.188]\n",
      "420 [D loss: (0.667)(R 0.638, F 0.697)] [D acc: (0.600)(0.609, 0.590)] [G loss: 0.865] [G acc: 0.160]\n",
      "421 [D loss: (0.638)(R 0.637, F 0.640)] [D acc: (0.652)(0.602, 0.703)] [G loss: 0.862] [G acc: 0.156]\n",
      "422 [D loss: (0.640)(R 0.643, F 0.636)] [D acc: (0.617)(0.555, 0.680)] [G loss: 0.930] [G acc: 0.121]\n",
      "423 [D loss: (0.599)(R 0.631, F 0.567)] [D acc: (0.727)(0.598, 0.855)] [G loss: 0.992] [G acc: 0.082]\n",
      "424 [D loss: (0.667)(R 0.539, F 0.795)] [D acc: (0.623)(0.730, 0.516)] [G loss: 0.982] [G acc: 0.168]\n",
      "425 [D loss: (0.621)(R 0.647, F 0.596)] [D acc: (0.684)(0.602, 0.766)] [G loss: 0.987] [G acc: 0.070]\n",
      "426 [D loss: (0.690)(R 0.590, F 0.789)] [D acc: (0.566)(0.660, 0.473)] [G loss: 0.922] [G acc: 0.176]\n",
      "427 [D loss: (0.643)(R 0.629, F 0.657)] [D acc: (0.652)(0.645, 0.660)] [G loss: 0.943] [G acc: 0.129]\n",
      "428 [D loss: (0.690)(R 0.684, F 0.697)] [D acc: (0.561)(0.527, 0.594)] [G loss: 0.855] [G acc: 0.191]\n",
      "429 [D loss: (0.650)(R 0.632, F 0.668)] [D acc: (0.623)(0.613, 0.633)] [G loss: 0.848] [G acc: 0.191]\n",
      "430 [D loss: (0.639)(R 0.610, F 0.668)] [D acc: (0.668)(0.684, 0.652)] [G loss: 0.888] [G acc: 0.195]\n",
      "431 [D loss: (0.661)(R 0.634, F 0.689)] [D acc: (0.613)(0.613, 0.613)] [G loss: 0.881] [G acc: 0.156]\n",
      "432 [D loss: (0.664)(R 0.638, F 0.690)] [D acc: (0.574)(0.562, 0.586)] [G loss: 0.912] [G acc: 0.172]\n",
      "433 [D loss: (0.660)(R 0.636, F 0.684)] [D acc: (0.611)(0.578, 0.645)] [G loss: 0.884] [G acc: 0.156]\n",
      "434 [D loss: (0.652)(R 0.641, F 0.663)] [D acc: (0.600)(0.566, 0.633)] [G loss: 0.898] [G acc: 0.152]\n",
      "435 [D loss: (0.670)(R 0.653, F 0.686)] [D acc: (0.605)(0.602, 0.609)] [G loss: 0.873] [G acc: 0.145]\n",
      "436 [D loss: (0.652)(R 0.650, F 0.653)] [D acc: (0.627)(0.578, 0.676)] [G loss: 0.900] [G acc: 0.145]\n",
      "437 [D loss: (0.622)(R 0.622, F 0.623)] [D acc: (0.693)(0.668, 0.719)] [G loss: 0.883] [G acc: 0.176]\n",
      "438 [D loss: (0.638)(R 0.592, F 0.683)] [D acc: (0.619)(0.652, 0.586)] [G loss: 0.976] [G acc: 0.133]\n",
      "439 [D loss: (0.617)(R 0.653, F 0.580)] [D acc: (0.693)(0.578, 0.809)] [G loss: 1.047] [G acc: 0.070]\n",
      "440 [D loss: (0.711)(R 0.554, F 0.867)] [D acc: (0.561)(0.688, 0.434)] [G loss: 0.910] [G acc: 0.188]\n",
      "441 [D loss: (0.645)(R 0.586, F 0.704)] [D acc: (0.639)(0.680, 0.598)] [G loss: 0.888] [G acc: 0.219]\n",
      "442 [D loss: (0.650)(R 0.618, F 0.682)] [D acc: (0.645)(0.652, 0.637)] [G loss: 0.877] [G acc: 0.195]\n",
      "443 [D loss: (0.644)(R 0.620, F 0.668)] [D acc: (0.631)(0.633, 0.629)] [G loss: 1.005] [G acc: 0.121]\n",
      "444 [D loss: (0.612)(R 0.646, F 0.579)] [D acc: (0.689)(0.574, 0.805)] [G loss: 1.018] [G acc: 0.074]\n",
      "445 [D loss: (0.657)(R 0.603, F 0.712)] [D acc: (0.633)(0.684, 0.582)] [G loss: 0.948] [G acc: 0.160]\n",
      "446 [D loss: (0.615)(R 0.602, F 0.627)] [D acc: (0.688)(0.648, 0.727)] [G loss: 0.940] [G acc: 0.129]\n",
      "447 [D loss: (0.704)(R 0.619, F 0.789)] [D acc: (0.566)(0.660, 0.473)] [G loss: 0.939] [G acc: 0.203]\n",
      "448 [D loss: (0.665)(R 0.643, F 0.687)] [D acc: (0.572)(0.574, 0.570)] [G loss: 0.883] [G acc: 0.152]\n",
      "449 [D loss: (0.670)(R 0.619, F 0.721)] [D acc: (0.598)(0.645, 0.551)] [G loss: 0.903] [G acc: 0.172]\n",
      "450 [D loss: (0.657)(R 0.623, F 0.691)] [D acc: (0.639)(0.641, 0.637)] [G loss: 0.895] [G acc: 0.145]\n",
      "451 [D loss: (0.652)(R 0.628, F 0.677)] [D acc: (0.627)(0.617, 0.637)] [G loss: 0.885] [G acc: 0.152]\n",
      "452 [D loss: (0.647)(R 0.636, F 0.659)] [D acc: (0.625)(0.598, 0.652)] [G loss: 0.906] [G acc: 0.156]\n",
      "453 [D loss: (0.638)(R 0.627, F 0.649)] [D acc: (0.627)(0.590, 0.664)] [G loss: 0.929] [G acc: 0.137]\n",
      "454 [D loss: (0.656)(R 0.627, F 0.686)] [D acc: (0.615)(0.613, 0.617)] [G loss: 0.925] [G acc: 0.113]\n",
      "455 [D loss: (0.651)(R 0.651, F 0.651)] [D acc: (0.615)(0.566, 0.664)] [G loss: 0.871] [G acc: 0.176]\n",
      "456 [D loss: (0.659)(R 0.653, F 0.665)] [D acc: (0.609)(0.559, 0.660)] [G loss: 0.899] [G acc: 0.172]\n",
      "457 [D loss: (0.622)(R 0.609, F 0.635)] [D acc: (0.678)(0.637, 0.719)] [G loss: 0.929] [G acc: 0.148]\n",
      "458 [D loss: (0.656)(R 0.612, F 0.700)] [D acc: (0.611)(0.617, 0.605)] [G loss: 0.907] [G acc: 0.191]\n",
      "459 [D loss: (0.675)(R 0.639, F 0.710)] [D acc: (0.574)(0.574, 0.574)] [G loss: 0.902] [G acc: 0.125]\n",
      "460 [D loss: (0.653)(R 0.640, F 0.665)] [D acc: (0.592)(0.562, 0.621)] [G loss: 0.932] [G acc: 0.141]\n",
      "461 [D loss: (0.624)(R 0.597, F 0.652)] [D acc: (0.664)(0.629, 0.699)] [G loss: 0.926] [G acc: 0.141]\n",
      "462 [D loss: (0.673)(R 0.642, F 0.705)] [D acc: (0.561)(0.578, 0.543)] [G loss: 0.886] [G acc: 0.176]\n",
      "463 [D loss: (0.627)(R 0.596, F 0.658)] [D acc: (0.660)(0.645, 0.676)] [G loss: 0.927] [G acc: 0.156]\n",
      "464 [D loss: (0.661)(R 0.636, F 0.685)] [D acc: (0.604)(0.602, 0.605)] [G loss: 0.898] [G acc: 0.164]\n",
      "465 [D loss: (0.669)(R 0.627, F 0.711)] [D acc: (0.613)(0.613, 0.613)] [G loss: 0.954] [G acc: 0.145]\n",
      "466 [D loss: (0.671)(R 0.671, F 0.671)] [D acc: (0.590)(0.547, 0.633)] [G loss: 0.915] [G acc: 0.137]\n",
      "467 [D loss: (0.640)(R 0.627, F 0.653)] [D acc: (0.609)(0.582, 0.637)] [G loss: 0.949] [G acc: 0.109]\n",
      "468 [D loss: (0.623)(R 0.612, F 0.635)] [D acc: (0.676)(0.648, 0.703)] [G loss: 0.974] [G acc: 0.086]\n",
      "469 [D loss: (0.656)(R 0.616, F 0.695)] [D acc: (0.613)(0.629, 0.598)] [G loss: 0.930] [G acc: 0.160]\n",
      "470 [D loss: (0.654)(R 0.642, F 0.665)] [D acc: (0.615)(0.586, 0.645)] [G loss: 0.936] [G acc: 0.133]\n",
      "471 [D loss: (0.662)(R 0.662, F 0.661)] [D acc: (0.572)(0.547, 0.598)] [G loss: 0.862] [G acc: 0.188]\n",
      "472 [D loss: (0.642)(R 0.609, F 0.676)] [D acc: (0.623)(0.621, 0.625)] [G loss: 0.918] [G acc: 0.160]\n",
      "473 [D loss: (0.625)(R 0.604, F 0.645)] [D acc: (0.658)(0.621, 0.695)] [G loss: 0.915] [G acc: 0.109]\n",
      "474 [D loss: (0.668)(R 0.610, F 0.726)] [D acc: (0.572)(0.594, 0.551)] [G loss: 0.962] [G acc: 0.125]\n",
      "475 [D loss: (0.649)(R 0.654, F 0.643)] [D acc: (0.637)(0.570, 0.703)] [G loss: 0.925] [G acc: 0.117]\n",
      "476 [D loss: (0.660)(R 0.610, F 0.711)] [D acc: (0.609)(0.641, 0.578)] [G loss: 0.897] [G acc: 0.160]\n",
      "477 [D loss: (0.647)(R 0.611, F 0.683)] [D acc: (0.627)(0.613, 0.641)] [G loss: 0.926] [G acc: 0.148]\n",
      "478 [D loss: (0.654)(R 0.653, F 0.655)] [D acc: (0.611)(0.543, 0.680)] [G loss: 0.864] [G acc: 0.207]\n",
      "479 [D loss: (0.654)(R 0.608, F 0.700)] [D acc: (0.615)(0.633, 0.598)] [G loss: 0.911] [G acc: 0.188]\n",
      "480 [D loss: (0.664)(R 0.639, F 0.689)] [D acc: (0.572)(0.547, 0.598)] [G loss: 0.874] [G acc: 0.164]\n",
      "481 [D loss: (0.640)(R 0.623, F 0.656)] [D acc: (0.643)(0.582, 0.703)] [G loss: 0.942] [G acc: 0.148]\n",
      "482 [D loss: (0.655)(R 0.667, F 0.642)] [D acc: (0.621)(0.523, 0.719)] [G loss: 0.907] [G acc: 0.125]\n",
      "483 [D loss: (0.680)(R 0.650, F 0.709)] [D acc: (0.584)(0.582, 0.586)] [G loss: 0.868] [G acc: 0.168]\n",
      "484 [D loss: (0.645)(R 0.630, F 0.661)] [D acc: (0.607)(0.586, 0.629)] [G loss: 0.900] [G acc: 0.172]\n",
      "485 [D loss: (0.639)(R 0.640, F 0.638)] [D acc: (0.635)(0.566, 0.703)] [G loss: 0.903] [G acc: 0.145]\n",
      "486 [D loss: (0.664)(R 0.633, F 0.694)] [D acc: (0.592)(0.598, 0.586)] [G loss: 0.884] [G acc: 0.160]\n",
      "487 [D loss: (0.640)(R 0.590, F 0.689)] [D acc: (0.639)(0.617, 0.660)] [G loss: 0.904] [G acc: 0.168]\n",
      "488 [D loss: (0.637)(R 0.653, F 0.621)] [D acc: (0.645)(0.551, 0.738)] [G loss: 0.898] [G acc: 0.145]\n",
      "489 [D loss: (0.658)(R 0.620, F 0.695)] [D acc: (0.604)(0.574, 0.633)] [G loss: 0.967] [G acc: 0.102]\n",
      "490 [D loss: (0.670)(R 0.703, F 0.637)] [D acc: (0.615)(0.504, 0.727)] [G loss: 0.910] [G acc: 0.117]\n",
      "491 [D loss: (0.659)(R 0.655, F 0.663)] [D acc: (0.578)(0.531, 0.625)] [G loss: 0.906] [G acc: 0.141]\n",
      "492 [D loss: (0.658)(R 0.640, F 0.676)] [D acc: (0.605)(0.605, 0.605)] [G loss: 0.902] [G acc: 0.102]\n",
      "493 [D loss: (0.654)(R 0.639, F 0.669)] [D acc: (0.600)(0.566, 0.633)] [G loss: 0.945] [G acc: 0.125]\n",
      "494 [D loss: (0.629)(R 0.629, F 0.629)] [D acc: (0.678)(0.605, 0.750)] [G loss: 0.935] [G acc: 0.129]\n",
      "495 [D loss: (0.659)(R 0.595, F 0.723)] [D acc: (0.605)(0.652, 0.559)] [G loss: 1.017] [G acc: 0.098]\n",
      "496 [D loss: (0.630)(R 0.689, F 0.570)] [D acc: (0.695)(0.520, 0.871)] [G loss: 1.007] [G acc: 0.078]\n",
      "497 [D loss: (0.665)(R 0.596, F 0.734)] [D acc: (0.596)(0.617, 0.574)] [G loss: 0.867] [G acc: 0.258]\n",
      "498 [D loss: (0.650)(R 0.599, F 0.702)] [D acc: (0.633)(0.680, 0.586)] [G loss: 0.979] [G acc: 0.137]\n",
      "499 [D loss: (0.626)(R 0.635, F 0.618)] [D acc: (0.645)(0.562, 0.727)] [G loss: 0.929] [G acc: 0.133]\n",
      "500 [D loss: (0.663)(R 0.619, F 0.706)] [D acc: (0.609)(0.613, 0.605)] [G loss: 0.995] [G acc: 0.125]\n",
      "501 [D loss: (0.629)(R 0.629, F 0.628)] [D acc: (0.650)(0.625, 0.676)] [G loss: 0.954] [G acc: 0.121]\n",
      "502 [D loss: (0.655)(R 0.620, F 0.690)] [D acc: (0.609)(0.609, 0.609)] [G loss: 0.921] [G acc: 0.172]\n",
      "503 [D loss: (0.644)(R 0.634, F 0.655)] [D acc: (0.637)(0.574, 0.699)] [G loss: 0.889] [G acc: 0.203]\n",
      "504 [D loss: (0.622)(R 0.576, F 0.668)] [D acc: (0.652)(0.656, 0.648)] [G loss: 0.937] [G acc: 0.172]\n",
      "505 [D loss: (0.647)(R 0.617, F 0.677)] [D acc: (0.613)(0.617, 0.609)] [G loss: 0.911] [G acc: 0.148]\n",
      "506 [D loss: (0.651)(R 0.602, F 0.699)] [D acc: (0.605)(0.605, 0.605)] [G loss: 0.914] [G acc: 0.145]\n",
      "507 [D loss: (0.640)(R 0.622, F 0.657)] [D acc: (0.615)(0.574, 0.656)] [G loss: 0.889] [G acc: 0.176]\n",
      "508 [D loss: (0.664)(R 0.638, F 0.690)] [D acc: (0.578)(0.535, 0.621)] [G loss: 0.937] [G acc: 0.164]\n",
      "509 [D loss: (0.651)(R 0.638, F 0.664)] [D acc: (0.639)(0.582, 0.695)] [G loss: 0.928] [G acc: 0.148]\n",
      "510 [D loss: (0.661)(R 0.660, F 0.661)] [D acc: (0.592)(0.512, 0.672)] [G loss: 0.960] [G acc: 0.117]\n",
      "511 [D loss: (0.642)(R 0.650, F 0.635)] [D acc: (0.645)(0.559, 0.730)] [G loss: 0.929] [G acc: 0.133]\n",
      "512 [D loss: (0.654)(R 0.634, F 0.674)] [D acc: (0.609)(0.594, 0.625)] [G loss: 0.918] [G acc: 0.148]\n",
      "513 [D loss: (0.644)(R 0.645, F 0.642)] [D acc: (0.631)(0.562, 0.699)] [G loss: 0.934] [G acc: 0.129]\n",
      "514 [D loss: (0.637)(R 0.648, F 0.627)] [D acc: (0.629)(0.555, 0.703)] [G loss: 1.008] [G acc: 0.121]\n",
      "515 [D loss: (0.626)(R 0.666, F 0.586)] [D acc: (0.656)(0.555, 0.758)] [G loss: 1.035] [G acc: 0.078]\n",
      "516 [D loss: (0.659)(R 0.621, F 0.696)] [D acc: (0.594)(0.609, 0.578)] [G loss: 0.884] [G acc: 0.191]\n",
      "517 [D loss: (0.656)(R 0.603, F 0.708)] [D acc: (0.605)(0.629, 0.582)] [G loss: 0.953] [G acc: 0.180]\n",
      "518 [D loss: (0.598)(R 0.611, F 0.584)] [D acc: (0.713)(0.629, 0.797)] [G loss: 1.000] [G acc: 0.133]\n",
      "519 [D loss: (0.653)(R 0.580, F 0.725)] [D acc: (0.600)(0.668, 0.531)] [G loss: 1.104] [G acc: 0.094]\n",
      "520 [D loss: (0.631)(R 0.644, F 0.618)] [D acc: (0.646)(0.598, 0.695)] [G loss: 0.923] [G acc: 0.164]\n",
      "521 [D loss: (0.632)(R 0.591, F 0.673)] [D acc: (0.656)(0.668, 0.645)] [G loss: 0.925] [G acc: 0.227]\n",
      "522 [D loss: (0.618)(R 0.582, F 0.653)] [D acc: (0.664)(0.656, 0.672)] [G loss: 0.921] [G acc: 0.168]\n",
      "523 [D loss: (0.638)(R 0.602, F 0.674)] [D acc: (0.629)(0.625, 0.633)] [G loss: 0.871] [G acc: 0.289]\n",
      "524 [D loss: (0.629)(R 0.588, F 0.669)] [D acc: (0.668)(0.664, 0.672)] [G loss: 0.946] [G acc: 0.191]\n",
      "525 [D loss: (0.647)(R 0.635, F 0.659)] [D acc: (0.625)(0.578, 0.672)] [G loss: 0.968] [G acc: 0.180]\n",
      "526 [D loss: (0.643)(R 0.628, F 0.658)] [D acc: (0.662)(0.613, 0.711)] [G loss: 0.938] [G acc: 0.160]\n",
      "527 [D loss: (0.652)(R 0.626, F 0.678)] [D acc: (0.588)(0.547, 0.629)] [G loss: 1.029] [G acc: 0.109]\n",
      "528 [D loss: (0.643)(R 0.642, F 0.644)] [D acc: (0.631)(0.582, 0.680)] [G loss: 0.971] [G acc: 0.078]\n",
      "529 [D loss: (0.633)(R 0.598, F 0.667)] [D acc: (0.625)(0.613, 0.637)] [G loss: 0.982] [G acc: 0.152]\n",
      "530 [D loss: (0.635)(R 0.614, F 0.655)] [D acc: (0.643)(0.613, 0.672)] [G loss: 0.910] [G acc: 0.203]\n",
      "531 [D loss: (0.639)(R 0.639, F 0.640)] [D acc: (0.615)(0.559, 0.672)] [G loss: 0.935] [G acc: 0.168]\n",
      "532 [D loss: (0.623)(R 0.615, F 0.630)] [D acc: (0.660)(0.633, 0.688)] [G loss: 0.960] [G acc: 0.141]\n",
      "533 [D loss: (0.660)(R 0.643, F 0.677)] [D acc: (0.602)(0.586, 0.617)] [G loss: 0.932] [G acc: 0.191]\n",
      "534 [D loss: (0.638)(R 0.619, F 0.656)] [D acc: (0.633)(0.602, 0.664)] [G loss: 0.922] [G acc: 0.172]\n",
      "535 [D loss: (0.638)(R 0.609, F 0.667)] [D acc: (0.617)(0.613, 0.621)] [G loss: 0.903] [G acc: 0.211]\n",
      "536 [D loss: (0.629)(R 0.594, F 0.664)] [D acc: (0.631)(0.629, 0.633)] [G loss: 1.001] [G acc: 0.125]\n",
      "537 [D loss: (0.639)(R 0.656, F 0.623)] [D acc: (0.637)(0.523, 0.750)] [G loss: 0.918] [G acc: 0.148]\n",
      "538 [D loss: (0.609)(R 0.571, F 0.647)] [D acc: (0.676)(0.691, 0.660)] [G loss: 0.945] [G acc: 0.164]\n",
      "539 [D loss: (0.622)(R 0.626, F 0.618)] [D acc: (0.684)(0.621, 0.746)] [G loss: 0.990] [G acc: 0.102]\n",
      "540 [D loss: (0.630)(R 0.560, F 0.700)] [D acc: (0.631)(0.684, 0.578)] [G loss: 1.134] [G acc: 0.109]\n",
      "541 [D loss: (0.583)(R 0.652, F 0.515)] [D acc: (0.727)(0.578, 0.875)] [G loss: 1.153] [G acc: 0.090]\n",
      "542 [D loss: (0.669)(R 0.498, F 0.841)] [D acc: (0.615)(0.715, 0.516)] [G loss: 0.991] [G acc: 0.184]\n",
      "543 [D loss: (0.647)(R 0.565, F 0.728)] [D acc: (0.645)(0.684, 0.605)] [G loss: 0.957] [G acc: 0.172]\n",
      "544 [D loss: (0.642)(R 0.577, F 0.708)] [D acc: (0.643)(0.688, 0.598)] [G loss: 0.979] [G acc: 0.164]\n",
      "545 [D loss: (0.643)(R 0.613, F 0.672)] [D acc: (0.617)(0.582, 0.652)] [G loss: 0.932] [G acc: 0.211]\n",
      "546 [D loss: (0.606)(R 0.606, F 0.606)] [D acc: (0.672)(0.613, 0.730)] [G loss: 0.977] [G acc: 0.176]\n",
      "547 [D loss: (0.645)(R 0.625, F 0.665)] [D acc: (0.629)(0.609, 0.648)] [G loss: 0.958] [G acc: 0.148]\n",
      "548 [D loss: (0.630)(R 0.614, F 0.646)] [D acc: (0.641)(0.602, 0.680)] [G loss: 0.976] [G acc: 0.164]\n",
      "549 [D loss: (0.665)(R 0.635, F 0.695)] [D acc: (0.594)(0.570, 0.617)] [G loss: 0.961] [G acc: 0.109]\n",
      "550 [D loss: (0.653)(R 0.659, F 0.647)] [D acc: (0.604)(0.547, 0.660)] [G loss: 0.980] [G acc: 0.125]\n",
      "551 [D loss: (0.649)(R 0.648, F 0.649)] [D acc: (0.613)(0.527, 0.699)] [G loss: 0.944] [G acc: 0.117]\n",
      "552 [D loss: (0.657)(R 0.660, F 0.654)] [D acc: (0.617)(0.555, 0.680)] [G loss: 0.968] [G acc: 0.160]\n",
      "553 [D loss: (0.642)(R 0.625, F 0.658)] [D acc: (0.617)(0.586, 0.648)] [G loss: 0.962] [G acc: 0.141]\n",
      "554 [D loss: (0.639)(R 0.636, F 0.642)] [D acc: (0.635)(0.598, 0.672)] [G loss: 1.025] [G acc: 0.113]\n",
      "555 [D loss: (0.638)(R 0.676, F 0.599)] [D acc: (0.660)(0.523, 0.797)] [G loss: 1.013] [G acc: 0.137]\n",
      "556 [D loss: (0.671)(R 0.645, F 0.697)] [D acc: (0.604)(0.594, 0.613)] [G loss: 0.902] [G acc: 0.172]\n",
      "557 [D loss: (0.647)(R 0.589, F 0.704)] [D acc: (0.607)(0.633, 0.582)] [G loss: 0.892] [G acc: 0.188]\n",
      "558 [D loss: (0.613)(R 0.574, F 0.652)] [D acc: (0.654)(0.676, 0.633)] [G loss: 0.960] [G acc: 0.180]\n",
      "559 [D loss: (0.644)(R 0.592, F 0.696)] [D acc: (0.637)(0.645, 0.629)] [G loss: 0.936] [G acc: 0.148]\n",
      "560 [D loss: (0.657)(R 0.636, F 0.678)] [D acc: (0.582)(0.555, 0.609)] [G loss: 0.972] [G acc: 0.133]\n",
      "561 [D loss: (0.653)(R 0.654, F 0.651)] [D acc: (0.650)(0.605, 0.695)] [G loss: 0.964] [G acc: 0.113]\n",
      "562 [D loss: (0.650)(R 0.669, F 0.631)] [D acc: (0.631)(0.559, 0.703)] [G loss: 0.955] [G acc: 0.168]\n",
      "563 [D loss: (0.626)(R 0.634, F 0.618)] [D acc: (0.639)(0.562, 0.715)] [G loss: 0.972] [G acc: 0.145]\n",
      "564 [D loss: (0.636)(R 0.633, F 0.639)] [D acc: (0.641)(0.578, 0.703)] [G loss: 1.023] [G acc: 0.152]\n",
      "565 [D loss: (0.596)(R 0.629, F 0.563)] [D acc: (0.711)(0.594, 0.828)] [G loss: 1.120] [G acc: 0.051]\n",
      "566 [D loss: (0.672)(R 0.619, F 0.725)] [D acc: (0.584)(0.609, 0.559)] [G loss: 0.920] [G acc: 0.207]\n",
      "567 [D loss: (0.645)(R 0.586, F 0.703)] [D acc: (0.637)(0.645, 0.629)] [G loss: 0.969] [G acc: 0.160]\n",
      "568 [D loss: (0.636)(R 0.619, F 0.653)] [D acc: (0.658)(0.625, 0.691)] [G loss: 0.971] [G acc: 0.148]\n",
      "569 [D loss: (0.655)(R 0.636, F 0.673)] [D acc: (0.598)(0.578, 0.617)] [G loss: 0.953] [G acc: 0.145]\n",
      "570 [D loss: (0.631)(R 0.594, F 0.667)] [D acc: (0.645)(0.633, 0.656)] [G loss: 0.939] [G acc: 0.160]\n",
      "571 [D loss: (0.618)(R 0.578, F 0.658)] [D acc: (0.674)(0.688, 0.660)] [G loss: 0.930] [G acc: 0.207]\n",
      "572 [D loss: (0.662)(R 0.654, F 0.670)] [D acc: (0.596)(0.531, 0.660)] [G loss: 0.893] [G acc: 0.156]\n",
      "573 [D loss: (0.636)(R 0.628, F 0.644)] [D acc: (0.637)(0.578, 0.695)] [G loss: 0.996] [G acc: 0.129]\n",
      "574 [D loss: (0.592)(R 0.603, F 0.581)] [D acc: (0.723)(0.633, 0.812)] [G loss: 1.039] [G acc: 0.098]\n",
      "575 [D loss: (0.641)(R 0.549, F 0.733)] [D acc: (0.621)(0.699, 0.543)] [G loss: 0.986] [G acc: 0.129]\n",
      "576 [D loss: (0.656)(R 0.622, F 0.690)] [D acc: (0.625)(0.605, 0.645)] [G loss: 0.933] [G acc: 0.133]\n",
      "577 [D loss: (0.641)(R 0.594, F 0.687)] [D acc: (0.617)(0.625, 0.609)] [G loss: 1.023] [G acc: 0.148]\n",
      "578 [D loss: (0.634)(R 0.672, F 0.596)] [D acc: (0.650)(0.535, 0.766)] [G loss: 0.995] [G acc: 0.109]\n",
      "579 [D loss: (0.644)(R 0.617, F 0.671)] [D acc: (0.637)(0.613, 0.660)] [G loss: 0.996] [G acc: 0.172]\n",
      "580 [D loss: (0.621)(R 0.632, F 0.610)] [D acc: (0.643)(0.547, 0.738)] [G loss: 0.927] [G acc: 0.152]\n",
      "581 [D loss: (0.656)(R 0.593, F 0.718)] [D acc: (0.582)(0.578, 0.586)] [G loss: 1.045] [G acc: 0.117]\n",
      "582 [D loss: (0.621)(R 0.639, F 0.602)] [D acc: (0.678)(0.586, 0.770)] [G loss: 1.019] [G acc: 0.105]\n",
      "583 [D loss: (0.632)(R 0.603, F 0.661)] [D acc: (0.631)(0.598, 0.664)] [G loss: 0.989] [G acc: 0.145]\n",
      "584 [D loss: (0.664)(R 0.673, F 0.655)] [D acc: (0.600)(0.520, 0.680)] [G loss: 0.921] [G acc: 0.148]\n",
      "585 [D loss: (0.649)(R 0.625, F 0.673)] [D acc: (0.623)(0.578, 0.668)] [G loss: 0.979] [G acc: 0.145]\n",
      "586 [D loss: (0.679)(R 0.649, F 0.709)] [D acc: (0.568)(0.562, 0.574)] [G loss: 0.931] [G acc: 0.109]\n",
      "587 [D loss: (0.639)(R 0.612, F 0.666)] [D acc: (0.631)(0.613, 0.648)] [G loss: 0.930] [G acc: 0.109]\n",
      "588 [D loss: (0.608)(R 0.608, F 0.609)] [D acc: (0.664)(0.578, 0.750)] [G loss: 1.000] [G acc: 0.133]\n",
      "589 [D loss: (0.638)(R 0.647, F 0.630)] [D acc: (0.648)(0.570, 0.727)] [G loss: 0.976] [G acc: 0.098]\n",
      "590 [D loss: (0.639)(R 0.623, F 0.655)] [D acc: (0.648)(0.602, 0.695)] [G loss: 0.949] [G acc: 0.148]\n",
      "591 [D loss: (0.628)(R 0.586, F 0.670)] [D acc: (0.658)(0.648, 0.668)] [G loss: 0.945] [G acc: 0.129]\n",
      "592 [D loss: (0.627)(R 0.611, F 0.643)] [D acc: (0.623)(0.578, 0.668)] [G loss: 1.001] [G acc: 0.113]\n",
      "593 [D loss: (0.578)(R 0.587, F 0.568)] [D acc: (0.736)(0.648, 0.824)] [G loss: 1.058] [G acc: 0.082]\n",
      "594 [D loss: (0.629)(R 0.558, F 0.701)] [D acc: (0.641)(0.656, 0.625)] [G loss: 1.018] [G acc: 0.160]\n",
      "595 [D loss: (0.615)(R 0.609, F 0.621)] [D acc: (0.678)(0.625, 0.730)] [G loss: 0.997] [G acc: 0.129]\n",
      "596 [D loss: (0.628)(R 0.603, F 0.652)] [D acc: (0.648)(0.625, 0.672)] [G loss: 1.034] [G acc: 0.105]\n",
      "597 [D loss: (0.630)(R 0.616, F 0.645)] [D acc: (0.674)(0.629, 0.719)] [G loss: 0.994] [G acc: 0.125]\n",
      "598 [D loss: (0.658)(R 0.633, F 0.682)] [D acc: (0.598)(0.578, 0.617)] [G loss: 0.937] [G acc: 0.184]\n",
      "599 [D loss: (0.616)(R 0.586, F 0.647)] [D acc: (0.666)(0.660, 0.672)] [G loss: 0.952] [G acc: 0.203]\n",
      "600 [D loss: (0.614)(R 0.591, F 0.636)] [D acc: (0.664)(0.633, 0.695)] [G loss: 1.042] [G acc: 0.180]\n",
      "601 [D loss: (0.648)(R 0.629, F 0.667)] [D acc: (0.590)(0.555, 0.625)] [G loss: 1.003] [G acc: 0.156]\n",
      "602 [D loss: (0.644)(R 0.624, F 0.664)] [D acc: (0.633)(0.613, 0.652)] [G loss: 1.048] [G acc: 0.109]\n",
      "603 [D loss: (0.603)(R 0.632, F 0.574)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.088] [G acc: 0.043]\n",
      "604 [D loss: (0.623)(R 0.594, F 0.651)] [D acc: (0.652)(0.621, 0.684)] [G loss: 0.986] [G acc: 0.137]\n",
      "605 [D loss: (0.636)(R 0.561, F 0.711)] [D acc: (0.686)(0.723, 0.648)] [G loss: 1.015] [G acc: 0.176]\n",
      "606 [D loss: (0.624)(R 0.628, F 0.619)] [D acc: (0.646)(0.570, 0.723)] [G loss: 0.983] [G acc: 0.152]\n",
      "607 [D loss: (0.641)(R 0.611, F 0.671)] [D acc: (0.656)(0.625, 0.688)] [G loss: 1.017] [G acc: 0.133]\n",
      "608 [D loss: (0.630)(R 0.630, F 0.630)] [D acc: (0.650)(0.582, 0.719)] [G loss: 0.997] [G acc: 0.125]\n",
      "609 [D loss: (0.636)(R 0.618, F 0.654)] [D acc: (0.613)(0.590, 0.637)] [G loss: 1.019] [G acc: 0.148]\n",
      "610 [D loss: (0.610)(R 0.632, F 0.589)] [D acc: (0.678)(0.582, 0.773)] [G loss: 1.009] [G acc: 0.094]\n",
      "611 [D loss: (0.632)(R 0.581, F 0.683)] [D acc: (0.619)(0.645, 0.594)] [G loss: 0.952] [G acc: 0.211]\n",
      "612 [D loss: (0.619)(R 0.606, F 0.633)] [D acc: (0.637)(0.605, 0.668)] [G loss: 0.980] [G acc: 0.148]\n",
      "613 [D loss: (0.669)(R 0.622, F 0.716)] [D acc: (0.572)(0.570, 0.574)] [G loss: 1.098] [G acc: 0.094]\n",
      "614 [D loss: (0.613)(R 0.640, F 0.586)] [D acc: (0.678)(0.574, 0.781)] [G loss: 1.023] [G acc: 0.094]\n",
      "615 [D loss: (0.630)(R 0.595, F 0.665)] [D acc: (0.643)(0.621, 0.664)] [G loss: 1.002] [G acc: 0.152]\n",
      "616 [D loss: (0.629)(R 0.616, F 0.642)] [D acc: (0.635)(0.566, 0.703)] [G loss: 0.989] [G acc: 0.137]\n",
      "617 [D loss: (0.626)(R 0.618, F 0.633)] [D acc: (0.652)(0.605, 0.699)] [G loss: 1.020] [G acc: 0.109]\n",
      "618 [D loss: (0.622)(R 0.614, F 0.630)] [D acc: (0.643)(0.578, 0.707)] [G loss: 1.007] [G acc: 0.113]\n",
      "619 [D loss: (0.629)(R 0.629, F 0.628)] [D acc: (0.660)(0.613, 0.707)] [G loss: 1.048] [G acc: 0.102]\n",
      "620 [D loss: (0.599)(R 0.629, F 0.569)] [D acc: (0.695)(0.578, 0.812)] [G loss: 1.051] [G acc: 0.090]\n",
      "621 [D loss: (0.626)(R 0.594, F 0.658)] [D acc: (0.639)(0.617, 0.660)] [G loss: 0.947] [G acc: 0.148]\n",
      "622 [D loss: (0.616)(R 0.561, F 0.671)] [D acc: (0.668)(0.660, 0.676)] [G loss: 1.047] [G acc: 0.156]\n",
      "623 [D loss: (0.648)(R 0.614, F 0.683)] [D acc: (0.648)(0.613, 0.684)] [G loss: 1.066] [G acc: 0.098]\n",
      "624 [D loss: (0.631)(R 0.608, F 0.654)] [D acc: (0.664)(0.656, 0.672)] [G loss: 1.038] [G acc: 0.117]\n",
      "625 [D loss: (0.644)(R 0.628, F 0.660)] [D acc: (0.639)(0.613, 0.664)] [G loss: 1.003] [G acc: 0.133]\n",
      "626 [D loss: (0.619)(R 0.627, F 0.611)] [D acc: (0.650)(0.566, 0.734)] [G loss: 1.057] [G acc: 0.090]\n",
      "627 [D loss: (0.612)(R 0.621, F 0.603)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.010] [G acc: 0.098]\n",
      "628 [D loss: (0.647)(R 0.625, F 0.670)] [D acc: (0.621)(0.598, 0.645)] [G loss: 1.072] [G acc: 0.133]\n",
      "629 [D loss: (0.632)(R 0.660, F 0.605)] [D acc: (0.633)(0.539, 0.727)] [G loss: 1.023] [G acc: 0.109]\n",
      "630 [D loss: (0.650)(R 0.595, F 0.705)] [D acc: (0.615)(0.645, 0.586)] [G loss: 1.049] [G acc: 0.141]\n",
      "631 [D loss: (0.619)(R 0.654, F 0.584)] [D acc: (0.654)(0.539, 0.770)] [G loss: 1.020] [G acc: 0.137]\n",
      "632 [D loss: (0.655)(R 0.606, F 0.705)] [D acc: (0.613)(0.617, 0.609)] [G loss: 0.983] [G acc: 0.191]\n",
      "633 [D loss: (0.617)(R 0.626, F 0.607)] [D acc: (0.650)(0.578, 0.723)] [G loss: 0.985] [G acc: 0.133]\n",
      "634 [D loss: (0.622)(R 0.583, F 0.660)] [D acc: (0.645)(0.648, 0.641)] [G loss: 1.142] [G acc: 0.121]\n",
      "635 [D loss: (0.643)(R 0.723, F 0.563)] [D acc: (0.668)(0.512, 0.824)] [G loss: 1.051] [G acc: 0.117]\n",
      "636 [D loss: (0.634)(R 0.592, F 0.677)] [D acc: (0.627)(0.637, 0.617)] [G loss: 0.962] [G acc: 0.195]\n",
      "637 [D loss: (0.643)(R 0.613, F 0.673)] [D acc: (0.598)(0.598, 0.598)] [G loss: 0.999] [G acc: 0.156]\n",
      "638 [D loss: (0.640)(R 0.598, F 0.682)] [D acc: (0.645)(0.617, 0.672)] [G loss: 0.972] [G acc: 0.160]\n",
      "639 [D loss: (0.619)(R 0.584, F 0.654)] [D acc: (0.654)(0.641, 0.668)] [G loss: 0.973] [G acc: 0.148]\n",
      "640 [D loss: (0.646)(R 0.616, F 0.677)] [D acc: (0.641)(0.602, 0.680)] [G loss: 0.958] [G acc: 0.188]\n",
      "641 [D loss: (0.622)(R 0.596, F 0.649)] [D acc: (0.643)(0.621, 0.664)] [G loss: 0.990] [G acc: 0.180]\n",
      "642 [D loss: (0.631)(R 0.625, F 0.637)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.010] [G acc: 0.129]\n",
      "643 [D loss: (0.635)(R 0.654, F 0.616)] [D acc: (0.641)(0.551, 0.730)] [G loss: 0.950] [G acc: 0.160]\n",
      "644 [D loss: (0.635)(R 0.600, F 0.669)] [D acc: (0.641)(0.617, 0.664)] [G loss: 0.941] [G acc: 0.180]\n",
      "645 [D loss: (0.615)(R 0.619, F 0.611)] [D acc: (0.684)(0.629, 0.738)] [G loss: 0.974] [G acc: 0.109]\n",
      "646 [D loss: (0.621)(R 0.603, F 0.640)] [D acc: (0.670)(0.637, 0.703)] [G loss: 0.993] [G acc: 0.125]\n",
      "647 [D loss: (0.628)(R 0.610, F 0.646)] [D acc: (0.639)(0.602, 0.676)] [G loss: 0.966] [G acc: 0.168]\n",
      "648 [D loss: (0.632)(R 0.616, F 0.648)] [D acc: (0.631)(0.578, 0.684)] [G loss: 1.058] [G acc: 0.121]\n",
      "649 [D loss: (0.611)(R 0.632, F 0.589)] [D acc: (0.674)(0.582, 0.766)] [G loss: 1.056] [G acc: 0.066]\n",
      "650 [D loss: (0.679)(R 0.631, F 0.727)] [D acc: (0.613)(0.586, 0.641)] [G loss: 0.971] [G acc: 0.148]\n",
      "651 [D loss: (0.633)(R 0.613, F 0.654)] [D acc: (0.609)(0.574, 0.645)] [G loss: 0.920] [G acc: 0.180]\n",
      "652 [D loss: (0.590)(R 0.546, F 0.634)] [D acc: (0.676)(0.684, 0.668)] [G loss: 1.058] [G acc: 0.137]\n",
      "653 [D loss: (0.622)(R 0.624, F 0.619)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.016] [G acc: 0.109]\n",
      "654 [D loss: (0.612)(R 0.575, F 0.650)] [D acc: (0.664)(0.637, 0.691)] [G loss: 0.974] [G acc: 0.137]\n",
      "655 [D loss: (0.623)(R 0.599, F 0.647)] [D acc: (0.627)(0.602, 0.652)] [G loss: 1.056] [G acc: 0.141]\n",
      "656 [D loss: (0.655)(R 0.623, F 0.686)] [D acc: (0.648)(0.613, 0.684)] [G loss: 0.997] [G acc: 0.113]\n",
      "657 [D loss: (0.639)(R 0.642, F 0.637)] [D acc: (0.645)(0.559, 0.730)] [G loss: 1.011] [G acc: 0.102]\n",
      "658 [D loss: (0.627)(R 0.617, F 0.637)] [D acc: (0.680)(0.605, 0.754)] [G loss: 0.991] [G acc: 0.113]\n",
      "659 [D loss: (0.600)(R 0.587, F 0.613)] [D acc: (0.680)(0.645, 0.715)] [G loss: 0.998] [G acc: 0.168]\n",
      "660 [D loss: (0.620)(R 0.591, F 0.648)] [D acc: (0.666)(0.637, 0.695)] [G loss: 0.997] [G acc: 0.145]\n",
      "661 [D loss: (0.630)(R 0.646, F 0.614)] [D acc: (0.648)(0.551, 0.746)] [G loss: 0.992] [G acc: 0.148]\n",
      "662 [D loss: (0.616)(R 0.608, F 0.625)] [D acc: (0.666)(0.633, 0.699)] [G loss: 1.042] [G acc: 0.160]\n",
      "663 [D loss: (0.598)(R 0.601, F 0.596)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.037] [G acc: 0.145]\n",
      "664 [D loss: (0.626)(R 0.549, F 0.702)] [D acc: (0.646)(0.684, 0.609)] [G loss: 1.250] [G acc: 0.066]\n",
      "665 [D loss: (0.590)(R 0.651, F 0.529)] [D acc: (0.697)(0.570, 0.824)] [G loss: 1.184] [G acc: 0.086]\n",
      "666 [D loss: (0.664)(R 0.562, F 0.767)] [D acc: (0.645)(0.695, 0.594)] [G loss: 0.987] [G acc: 0.164]\n",
      "667 [D loss: (0.634)(R 0.597, F 0.671)] [D acc: (0.641)(0.633, 0.648)] [G loss: 1.039] [G acc: 0.168]\n",
      "668 [D loss: (0.670)(R 0.641, F 0.698)] [D acc: (0.582)(0.559, 0.605)] [G loss: 0.951] [G acc: 0.188]\n",
      "669 [D loss: (0.637)(R 0.624, F 0.650)] [D acc: (0.635)(0.598, 0.672)] [G loss: 1.020] [G acc: 0.152]\n",
      "670 [D loss: (0.639)(R 0.617, F 0.661)] [D acc: (0.613)(0.566, 0.660)] [G loss: 0.974] [G acc: 0.180]\n",
      "671 [D loss: (0.636)(R 0.648, F 0.623)] [D acc: (0.621)(0.551, 0.691)] [G loss: 0.952] [G acc: 0.184]\n",
      "672 [D loss: (0.604)(R 0.580, F 0.627)] [D acc: (0.654)(0.652, 0.656)] [G loss: 0.977] [G acc: 0.164]\n",
      "673 [D loss: (0.648)(R 0.621, F 0.675)] [D acc: (0.605)(0.570, 0.641)] [G loss: 1.022] [G acc: 0.098]\n",
      "674 [D loss: (0.624)(R 0.644, F 0.604)] [D acc: (0.699)(0.605, 0.793)] [G loss: 0.979] [G acc: 0.145]\n",
      "675 [D loss: (0.658)(R 0.602, F 0.715)] [D acc: (0.621)(0.625, 0.617)] [G loss: 1.007] [G acc: 0.121]\n",
      "676 [D loss: (0.623)(R 0.632, F 0.614)] [D acc: (0.664)(0.598, 0.730)] [G loss: 0.964] [G acc: 0.164]\n",
      "677 [D loss: (0.642)(R 0.590, F 0.694)] [D acc: (0.621)(0.598, 0.645)] [G loss: 1.069] [G acc: 0.121]\n",
      "678 [D loss: (0.610)(R 0.645, F 0.575)] [D acc: (0.676)(0.559, 0.793)] [G loss: 1.008] [G acc: 0.152]\n",
      "679 [D loss: (0.624)(R 0.586, F 0.663)] [D acc: (0.631)(0.637, 0.625)] [G loss: 1.038] [G acc: 0.148]\n",
      "680 [D loss: (0.642)(R 0.613, F 0.672)] [D acc: (0.654)(0.648, 0.660)] [G loss: 1.001] [G acc: 0.145]\n",
      "681 [D loss: (0.636)(R 0.602, F 0.671)] [D acc: (0.625)(0.629, 0.621)] [G loss: 1.010] [G acc: 0.152]\n",
      "682 [D loss: (0.618)(R 0.609, F 0.628)] [D acc: (0.652)(0.605, 0.699)] [G loss: 1.035] [G acc: 0.109]\n",
      "683 [D loss: (0.616)(R 0.589, F 0.644)] [D acc: (0.676)(0.664, 0.688)] [G loss: 1.025] [G acc: 0.121]\n",
      "684 [D loss: (0.614)(R 0.625, F 0.604)] [D acc: (0.670)(0.574, 0.766)] [G loss: 1.037] [G acc: 0.109]\n",
      "685 [D loss: (0.613)(R 0.576, F 0.650)] [D acc: (0.635)(0.613, 0.656)] [G loss: 1.027] [G acc: 0.148]\n",
      "686 [D loss: (0.593)(R 0.588, F 0.598)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.045] [G acc: 0.113]\n",
      "687 [D loss: (0.636)(R 0.563, F 0.709)] [D acc: (0.633)(0.648, 0.617)] [G loss: 1.058] [G acc: 0.148]\n",
      "688 [D loss: (0.629)(R 0.596, F 0.663)] [D acc: (0.650)(0.621, 0.680)] [G loss: 1.017] [G acc: 0.184]\n",
      "689 [D loss: (0.592)(R 0.595, F 0.588)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.002] [G acc: 0.125]\n",
      "690 [D loss: (0.625)(R 0.586, F 0.664)] [D acc: (0.646)(0.633, 0.660)] [G loss: 1.126] [G acc: 0.109]\n",
      "691 [D loss: (0.578)(R 0.620, F 0.536)] [D acc: (0.717)(0.602, 0.832)] [G loss: 1.073] [G acc: 0.090]\n",
      "692 [D loss: (0.617)(R 0.521, F 0.713)] [D acc: (0.650)(0.707, 0.594)] [G loss: 1.022] [G acc: 0.168]\n",
      "693 [D loss: (0.617)(R 0.618, F 0.616)] [D acc: (0.643)(0.605, 0.680)] [G loss: 1.040] [G acc: 0.160]\n",
      "694 [D loss: (0.623)(R 0.605, F 0.642)] [D acc: (0.631)(0.598, 0.664)] [G loss: 1.029] [G acc: 0.133]\n",
      "695 [D loss: (0.619)(R 0.632, F 0.607)] [D acc: (0.650)(0.590, 0.711)] [G loss: 1.078] [G acc: 0.094]\n",
      "696 [D loss: (0.614)(R 0.615, F 0.613)] [D acc: (0.662)(0.621, 0.703)] [G loss: 1.060] [G acc: 0.090]\n",
      "697 [D loss: (0.602)(R 0.592, F 0.612)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.138] [G acc: 0.148]\n",
      "698 [D loss: (0.570)(R 0.603, F 0.538)] [D acc: (0.697)(0.586, 0.809)] [G loss: 1.160] [G acc: 0.062]\n",
      "699 [D loss: (0.612)(R 0.582, F 0.641)] [D acc: (0.643)(0.613, 0.672)] [G loss: 1.015] [G acc: 0.141]\n",
      "700 [D loss: (0.622)(R 0.550, F 0.694)] [D acc: (0.639)(0.648, 0.629)] [G loss: 1.042] [G acc: 0.145]\n",
      "701 [D loss: (0.596)(R 0.585, F 0.607)] [D acc: (0.689)(0.645, 0.734)] [G loss: 1.062] [G acc: 0.105]\n",
      "702 [D loss: (0.615)(R 0.550, F 0.680)] [D acc: (0.686)(0.688, 0.684)] [G loss: 1.016] [G acc: 0.164]\n",
      "703 [D loss: (0.631)(R 0.598, F 0.663)] [D acc: (0.645)(0.633, 0.656)] [G loss: 1.034] [G acc: 0.129]\n",
      "704 [D loss: (0.605)(R 0.581, F 0.629)] [D acc: (0.656)(0.621, 0.691)] [G loss: 1.083] [G acc: 0.125]\n",
      "705 [D loss: (0.609)(R 0.596, F 0.623)] [D acc: (0.656)(0.621, 0.691)] [G loss: 1.039] [G acc: 0.125]\n",
      "706 [D loss: (0.645)(R 0.594, F 0.696)] [D acc: (0.619)(0.605, 0.633)] [G loss: 0.986] [G acc: 0.156]\n",
      "707 [D loss: (0.605)(R 0.582, F 0.628)] [D acc: (0.668)(0.637, 0.699)] [G loss: 1.001] [G acc: 0.184]\n",
      "708 [D loss: (0.577)(R 0.580, F 0.574)] [D acc: (0.725)(0.645, 0.805)] [G loss: 1.076] [G acc: 0.105]\n",
      "709 [D loss: (0.583)(R 0.574, F 0.592)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.114] [G acc: 0.117]\n",
      "710 [D loss: (0.620)(R 0.571, F 0.669)] [D acc: (0.688)(0.656, 0.719)] [G loss: 1.053] [G acc: 0.105]\n",
      "711 [D loss: (0.647)(R 0.654, F 0.639)] [D acc: (0.643)(0.578, 0.707)] [G loss: 0.996] [G acc: 0.145]\n",
      "712 [D loss: (0.608)(R 0.589, F 0.627)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.146] [G acc: 0.109]\n",
      "713 [D loss: (0.591)(R 0.645, F 0.537)] [D acc: (0.711)(0.590, 0.832)] [G loss: 1.093] [G acc: 0.109]\n",
      "714 [D loss: (0.643)(R 0.550, F 0.737)] [D acc: (0.637)(0.656, 0.617)] [G loss: 1.034] [G acc: 0.148]\n",
      "715 [D loss: (0.610)(R 0.571, F 0.648)] [D acc: (0.641)(0.641, 0.641)] [G loss: 1.119] [G acc: 0.160]\n",
      "716 [D loss: (0.650)(R 0.679, F 0.620)] [D acc: (0.639)(0.574, 0.703)] [G loss: 1.043] [G acc: 0.125]\n",
      "717 [D loss: (0.623)(R 0.600, F 0.646)] [D acc: (0.658)(0.629, 0.688)] [G loss: 1.031] [G acc: 0.195]\n",
      "718 [D loss: (0.621)(R 0.616, F 0.626)] [D acc: (0.658)(0.594, 0.723)] [G loss: 1.015] [G acc: 0.125]\n",
      "719 [D loss: (0.606)(R 0.562, F 0.650)] [D acc: (0.652)(0.676, 0.629)] [G loss: 1.093] [G acc: 0.109]\n",
      "720 [D loss: (0.603)(R 0.640, F 0.565)] [D acc: (0.678)(0.570, 0.785)] [G loss: 1.116] [G acc: 0.059]\n",
      "721 [D loss: (0.632)(R 0.594, F 0.671)] [D acc: (0.615)(0.590, 0.641)] [G loss: 1.081] [G acc: 0.113]\n",
      "722 [D loss: (0.628)(R 0.620, F 0.636)] [D acc: (0.648)(0.590, 0.707)] [G loss: 1.007] [G acc: 0.117]\n",
      "723 [D loss: (0.604)(R 0.563, F 0.644)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.072] [G acc: 0.121]\n",
      "724 [D loss: (0.608)(R 0.587, F 0.628)] [D acc: (0.658)(0.625, 0.691)] [G loss: 1.079] [G acc: 0.086]\n",
      "725 [D loss: (0.609)(R 0.584, F 0.634)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.039] [G acc: 0.133]\n",
      "726 [D loss: (0.616)(R 0.609, F 0.622)] [D acc: (0.664)(0.617, 0.711)] [G loss: 1.051] [G acc: 0.121]\n",
      "727 [D loss: (0.654)(R 0.599, F 0.708)] [D acc: (0.602)(0.578, 0.625)] [G loss: 1.039] [G acc: 0.141]\n",
      "728 [D loss: (0.640)(R 0.658, F 0.622)] [D acc: (0.625)(0.551, 0.699)] [G loss: 1.011] [G acc: 0.129]\n",
      "729 [D loss: (0.624)(R 0.607, F 0.640)] [D acc: (0.664)(0.629, 0.699)] [G loss: 1.089] [G acc: 0.133]\n",
      "730 [D loss: (0.591)(R 0.619, F 0.564)] [D acc: (0.699)(0.566, 0.832)] [G loss: 1.038] [G acc: 0.109]\n",
      "731 [D loss: (0.602)(R 0.565, F 0.640)] [D acc: (0.650)(0.621, 0.680)] [G loss: 1.001] [G acc: 0.164]\n",
      "732 [D loss: (0.631)(R 0.609, F 0.653)] [D acc: (0.664)(0.621, 0.707)] [G loss: 1.012] [G acc: 0.137]\n",
      "733 [D loss: (0.644)(R 0.604, F 0.684)] [D acc: (0.609)(0.605, 0.613)] [G loss: 1.103] [G acc: 0.082]\n",
      "734 [D loss: (0.581)(R 0.613, F 0.549)] [D acc: (0.701)(0.566, 0.836)] [G loss: 1.097] [G acc: 0.031]\n",
      "735 [D loss: (0.654)(R 0.592, F 0.717)] [D acc: (0.578)(0.559, 0.598)] [G loss: 1.042] [G acc: 0.086]\n",
      "736 [D loss: (0.633)(R 0.628, F 0.638)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.002] [G acc: 0.164]\n",
      "737 [D loss: (0.624)(R 0.625, F 0.623)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.005] [G acc: 0.148]\n",
      "738 [D loss: (0.638)(R 0.643, F 0.633)] [D acc: (0.609)(0.527, 0.691)] [G loss: 1.037] [G acc: 0.117]\n",
      "739 [D loss: (0.620)(R 0.656, F 0.585)] [D acc: (0.658)(0.555, 0.762)] [G loss: 1.001] [G acc: 0.113]\n",
      "740 [D loss: (0.599)(R 0.572, F 0.625)] [D acc: (0.666)(0.633, 0.699)] [G loss: 1.013] [G acc: 0.164]\n",
      "741 [D loss: (0.610)(R 0.573, F 0.646)] [D acc: (0.662)(0.629, 0.695)] [G loss: 1.031] [G acc: 0.090]\n",
      "742 [D loss: (0.601)(R 0.568, F 0.634)] [D acc: (0.664)(0.648, 0.680)] [G loss: 1.137] [G acc: 0.070]\n",
      "743 [D loss: (0.572)(R 0.576, F 0.568)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.151] [G acc: 0.066]\n",
      "744 [D loss: (0.603)(R 0.541, F 0.664)] [D acc: (0.664)(0.680, 0.648)] [G loss: 1.086] [G acc: 0.105]\n",
      "745 [D loss: (0.575)(R 0.601, F 0.549)] [D acc: (0.713)(0.613, 0.812)] [G loss: 1.153] [G acc: 0.047]\n",
      "746 [D loss: (0.603)(R 0.588, F 0.619)] [D acc: (0.646)(0.590, 0.703)] [G loss: 1.135] [G acc: 0.121]\n",
      "747 [D loss: (0.634)(R 0.602, F 0.666)] [D acc: (0.660)(0.633, 0.688)] [G loss: 1.122] [G acc: 0.086]\n",
      "748 [D loss: (0.629)(R 0.559, F 0.698)] [D acc: (0.625)(0.621, 0.629)] [G loss: 1.169] [G acc: 0.090]\n",
      "749 [D loss: (0.606)(R 0.673, F 0.540)] [D acc: (0.686)(0.539, 0.832)] [G loss: 1.081] [G acc: 0.105]\n",
      "750 [D loss: (0.608)(R 0.596, F 0.619)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.042] [G acc: 0.137]\n",
      "751 [D loss: (0.628)(R 0.601, F 0.654)] [D acc: (0.641)(0.613, 0.668)] [G loss: 1.060] [G acc: 0.152]\n",
      "752 [D loss: (0.634)(R 0.589, F 0.678)] [D acc: (0.637)(0.629, 0.645)] [G loss: 0.994] [G acc: 0.137]\n",
      "753 [D loss: (0.616)(R 0.629, F 0.603)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.040] [G acc: 0.141]\n",
      "754 [D loss: (0.606)(R 0.594, F 0.619)] [D acc: (0.656)(0.594, 0.719)] [G loss: 1.009] [G acc: 0.141]\n",
      "755 [D loss: (0.604)(R 0.625, F 0.583)] [D acc: (0.701)(0.605, 0.797)] [G loss: 0.993] [G acc: 0.156]\n",
      "756 [D loss: (0.588)(R 0.549, F 0.627)] [D acc: (0.703)(0.691, 0.715)] [G loss: 1.100] [G acc: 0.117]\n",
      "757 [D loss: (0.595)(R 0.614, F 0.576)] [D acc: (0.711)(0.613, 0.809)] [G loss: 1.055] [G acc: 0.113]\n",
      "758 [D loss: (0.626)(R 0.614, F 0.638)] [D acc: (0.637)(0.598, 0.676)] [G loss: 1.009] [G acc: 0.199]\n",
      "759 [D loss: (0.635)(R 0.583, F 0.687)] [D acc: (0.648)(0.617, 0.680)] [G loss: 1.062] [G acc: 0.129]\n",
      "760 [D loss: (0.633)(R 0.643, F 0.622)] [D acc: (0.633)(0.578, 0.688)] [G loss: 1.030] [G acc: 0.145]\n",
      "761 [D loss: (0.619)(R 0.610, F 0.629)] [D acc: (0.652)(0.594, 0.711)] [G loss: 1.036] [G acc: 0.133]\n",
      "762 [D loss: (0.584)(R 0.563, F 0.605)] [D acc: (0.684)(0.648, 0.719)] [G loss: 1.121] [G acc: 0.105]\n",
      "763 [D loss: (0.584)(R 0.636, F 0.532)] [D acc: (0.715)(0.590, 0.840)] [G loss: 1.123] [G acc: 0.105]\n",
      "764 [D loss: (0.607)(R 0.538, F 0.676)] [D acc: (0.654)(0.676, 0.633)] [G loss: 1.078] [G acc: 0.141]\n",
      "765 [D loss: (0.608)(R 0.615, F 0.600)] [D acc: (0.660)(0.598, 0.723)] [G loss: 1.048] [G acc: 0.117]\n",
      "766 [D loss: (0.611)(R 0.587, F 0.636)] [D acc: (0.646)(0.629, 0.664)] [G loss: 1.214] [G acc: 0.102]\n",
      "767 [D loss: (0.583)(R 0.666, F 0.499)] [D acc: (0.715)(0.559, 0.871)] [G loss: 1.232] [G acc: 0.039]\n",
      "768 [D loss: (0.595)(R 0.516, F 0.674)] [D acc: (0.680)(0.691, 0.668)] [G loss: 1.093] [G acc: 0.078]\n",
      "769 [D loss: (0.609)(R 0.615, F 0.603)] [D acc: (0.664)(0.590, 0.738)] [G loss: 1.058] [G acc: 0.125]\n",
      "770 [D loss: (0.581)(R 0.581, F 0.580)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.063] [G acc: 0.152]\n",
      "771 [D loss: (0.620)(R 0.533, F 0.706)] [D acc: (0.654)(0.645, 0.664)] [G loss: 1.139] [G acc: 0.098]\n",
      "772 [D loss: (0.576)(R 0.594, F 0.558)] [D acc: (0.697)(0.605, 0.789)] [G loss: 1.091] [G acc: 0.102]\n",
      "773 [D loss: (0.581)(R 0.575, F 0.588)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.117] [G acc: 0.137]\n",
      "774 [D loss: (0.636)(R 0.612, F 0.659)] [D acc: (0.629)(0.590, 0.668)] [G loss: 1.062] [G acc: 0.105]\n",
      "775 [D loss: (0.614)(R 0.608, F 0.621)] [D acc: (0.645)(0.586, 0.703)] [G loss: 1.079] [G acc: 0.141]\n",
      "776 [D loss: (0.626)(R 0.601, F 0.651)] [D acc: (0.639)(0.594, 0.684)] [G loss: 1.031] [G acc: 0.117]\n",
      "777 [D loss: (0.648)(R 0.621, F 0.675)] [D acc: (0.625)(0.570, 0.680)] [G loss: 1.043] [G acc: 0.121]\n",
      "778 [D loss: (0.639)(R 0.672, F 0.607)] [D acc: (0.652)(0.570, 0.734)] [G loss: 0.992] [G acc: 0.152]\n",
      "779 [D loss: (0.643)(R 0.629, F 0.657)] [D acc: (0.625)(0.555, 0.695)] [G loss: 1.049] [G acc: 0.148]\n",
      "780 [D loss: (0.601)(R 0.608, F 0.594)] [D acc: (0.705)(0.605, 0.805)] [G loss: 1.083] [G acc: 0.090]\n",
      "781 [D loss: (0.621)(R 0.623, F 0.619)] [D acc: (0.645)(0.574, 0.715)] [G loss: 1.023] [G acc: 0.152]\n",
      "782 [D loss: (0.593)(R 0.591, F 0.596)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.074] [G acc: 0.125]\n",
      "783 [D loss: (0.572)(R 0.546, F 0.597)] [D acc: (0.719)(0.664, 0.773)] [G loss: 1.050] [G acc: 0.160]\n",
      "784 [D loss: (0.631)(R 0.585, F 0.676)] [D acc: (0.643)(0.633, 0.652)] [G loss: 1.100] [G acc: 0.129]\n",
      "785 [D loss: (0.626)(R 0.611, F 0.641)] [D acc: (0.635)(0.578, 0.691)] [G loss: 1.041] [G acc: 0.137]\n",
      "786 [D loss: (0.608)(R 0.581, F 0.635)] [D acc: (0.676)(0.652, 0.699)] [G loss: 1.033] [G acc: 0.133]\n",
      "787 [D loss: (0.611)(R 0.611, F 0.611)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.051] [G acc: 0.125]\n",
      "788 [D loss: (0.611)(R 0.640, F 0.581)] [D acc: (0.688)(0.586, 0.789)] [G loss: 0.982] [G acc: 0.195]\n",
      "789 [D loss: (0.611)(R 0.560, F 0.663)] [D acc: (0.674)(0.676, 0.672)] [G loss: 1.143] [G acc: 0.137]\n",
      "790 [D loss: (0.593)(R 0.621, F 0.566)] [D acc: (0.674)(0.578, 0.770)] [G loss: 1.108] [G acc: 0.082]\n",
      "791 [D loss: (0.620)(R 0.562, F 0.677)] [D acc: (0.666)(0.668, 0.664)] [G loss: 1.093] [G acc: 0.125]\n",
      "792 [D loss: (0.596)(R 0.613, F 0.580)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.050] [G acc: 0.172]\n",
      "793 [D loss: (0.620)(R 0.569, F 0.672)] [D acc: (0.650)(0.613, 0.688)] [G loss: 1.262] [G acc: 0.113]\n",
      "794 [D loss: (0.570)(R 0.633, F 0.508)] [D acc: (0.719)(0.578, 0.859)] [G loss: 1.206] [G acc: 0.086]\n",
      "795 [D loss: (0.631)(R 0.575, F 0.686)] [D acc: (0.648)(0.633, 0.664)] [G loss: 1.037] [G acc: 0.172]\n",
      "796 [D loss: (0.627)(R 0.599, F 0.656)] [D acc: (0.664)(0.633, 0.695)] [G loss: 1.085] [G acc: 0.141]\n",
      "797 [D loss: (0.612)(R 0.632, F 0.592)] [D acc: (0.637)(0.551, 0.723)] [G loss: 1.096] [G acc: 0.102]\n",
      "798 [D loss: (0.617)(R 0.651, F 0.584)] [D acc: (0.648)(0.551, 0.746)] [G loss: 1.064] [G acc: 0.129]\n",
      "799 [D loss: (0.597)(R 0.558, F 0.635)] [D acc: (0.656)(0.613, 0.699)] [G loss: 1.101] [G acc: 0.137]\n",
      "800 [D loss: (0.598)(R 0.587, F 0.609)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.038] [G acc: 0.129]\n",
      "801 [D loss: (0.602)(R 0.609, F 0.596)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.120] [G acc: 0.133]\n",
      "802 [D loss: (0.603)(R 0.586, F 0.620)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.069] [G acc: 0.113]\n",
      "803 [D loss: (0.615)(R 0.559, F 0.670)] [D acc: (0.654)(0.645, 0.664)] [G loss: 1.085] [G acc: 0.148]\n",
      "804 [D loss: (0.635)(R 0.632, F 0.638)] [D acc: (0.645)(0.566, 0.723)] [G loss: 1.050] [G acc: 0.137]\n",
      "805 [D loss: (0.607)(R 0.597, F 0.617)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.129] [G acc: 0.113]\n",
      "806 [D loss: (0.610)(R 0.632, F 0.587)] [D acc: (0.658)(0.555, 0.762)] [G loss: 1.048] [G acc: 0.109]\n",
      "807 [D loss: (0.610)(R 0.601, F 0.618)] [D acc: (0.658)(0.590, 0.727)] [G loss: 1.063] [G acc: 0.145]\n",
      "808 [D loss: (0.583)(R 0.581, F 0.586)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.058] [G acc: 0.148]\n",
      "809 [D loss: (0.603)(R 0.570, F 0.635)] [D acc: (0.656)(0.648, 0.664)] [G loss: 1.154] [G acc: 0.133]\n",
      "810 [D loss: (0.584)(R 0.592, F 0.576)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.120] [G acc: 0.098]\n",
      "811 [D loss: (0.625)(R 0.606, F 0.644)] [D acc: (0.633)(0.609, 0.656)] [G loss: 1.131] [G acc: 0.129]\n",
      "812 [D loss: (0.589)(R 0.589, F 0.590)] [D acc: (0.678)(0.586, 0.770)] [G loss: 1.079] [G acc: 0.113]\n",
      "813 [D loss: (0.669)(R 0.637, F 0.701)] [D acc: (0.578)(0.551, 0.605)] [G loss: 1.075] [G acc: 0.125]\n",
      "814 [D loss: (0.601)(R 0.634, F 0.568)] [D acc: (0.672)(0.566, 0.777)] [G loss: 1.056] [G acc: 0.090]\n",
      "815 [D loss: (0.603)(R 0.533, F 0.673)] [D acc: (0.662)(0.684, 0.641)] [G loss: 1.102] [G acc: 0.129]\n",
      "816 [D loss: (0.574)(R 0.572, F 0.575)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.120] [G acc: 0.070]\n",
      "817 [D loss: (0.619)(R 0.628, F 0.611)] [D acc: (0.637)(0.570, 0.703)] [G loss: 1.026] [G acc: 0.137]\n",
      "818 [D loss: (0.575)(R 0.551, F 0.599)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.043] [G acc: 0.105]\n",
      "819 [D loss: (0.585)(R 0.561, F 0.609)] [D acc: (0.691)(0.656, 0.727)] [G loss: 1.080] [G acc: 0.129]\n",
      "820 [D loss: (0.598)(R 0.587, F 0.610)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.061] [G acc: 0.109]\n",
      "821 [D loss: (0.588)(R 0.583, F 0.593)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.175] [G acc: 0.109]\n",
      "822 [D loss: (0.627)(R 0.572, F 0.681)] [D acc: (0.648)(0.625, 0.672)] [G loss: 1.098] [G acc: 0.062]\n",
      "823 [D loss: (0.627)(R 0.641, F 0.614)] [D acc: (0.654)(0.523, 0.785)] [G loss: 1.074] [G acc: 0.082]\n",
      "824 [D loss: (0.611)(R 0.620, F 0.601)] [D acc: (0.662)(0.570, 0.754)] [G loss: 1.077] [G acc: 0.109]\n",
      "825 [D loss: (0.589)(R 0.594, F 0.584)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.055] [G acc: 0.141]\n",
      "826 [D loss: (0.651)(R 0.583, F 0.719)] [D acc: (0.629)(0.633, 0.625)] [G loss: 1.326] [G acc: 0.086]\n",
      "827 [D loss: (0.587)(R 0.670, F 0.504)] [D acc: (0.727)(0.570, 0.883)] [G loss: 1.239] [G acc: 0.047]\n",
      "828 [D loss: (0.620)(R 0.526, F 0.713)] [D acc: (0.646)(0.680, 0.613)] [G loss: 1.064] [G acc: 0.133]\n",
      "829 [D loss: (0.615)(R 0.559, F 0.671)] [D acc: (0.652)(0.641, 0.664)] [G loss: 1.038] [G acc: 0.156]\n",
      "830 [D loss: (0.644)(R 0.610, F 0.678)] [D acc: (0.617)(0.578, 0.656)] [G loss: 1.072] [G acc: 0.133]\n",
      "831 [D loss: (0.601)(R 0.599, F 0.603)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.035] [G acc: 0.164]\n",
      "832 [D loss: (0.602)(R 0.568, F 0.637)] [D acc: (0.684)(0.660, 0.707)] [G loss: 1.078] [G acc: 0.117]\n",
      "833 [D loss: (0.616)(R 0.602, F 0.631)] [D acc: (0.643)(0.590, 0.695)] [G loss: 1.106] [G acc: 0.098]\n",
      "834 [D loss: (0.630)(R 0.634, F 0.626)] [D acc: (0.639)(0.586, 0.691)] [G loss: 1.025] [G acc: 0.152]\n",
      "835 [D loss: (0.608)(R 0.597, F 0.619)] [D acc: (0.662)(0.578, 0.746)] [G loss: 1.096] [G acc: 0.098]\n",
      "836 [D loss: (0.608)(R 0.635, F 0.581)] [D acc: (0.666)(0.562, 0.770)] [G loss: 1.027] [G acc: 0.098]\n",
      "837 [D loss: (0.618)(R 0.579, F 0.657)] [D acc: (0.650)(0.602, 0.699)] [G loss: 1.047] [G acc: 0.160]\n",
      "838 [D loss: (0.605)(R 0.617, F 0.593)] [D acc: (0.658)(0.551, 0.766)] [G loss: 1.015] [G acc: 0.129]\n",
      "839 [D loss: (0.637)(R 0.621, F 0.652)] [D acc: (0.627)(0.570, 0.684)] [G loss: 1.097] [G acc: 0.105]\n",
      "840 [D loss: (0.598)(R 0.622, F 0.574)] [D acc: (0.676)(0.570, 0.781)] [G loss: 1.074] [G acc: 0.082]\n",
      "841 [D loss: (0.634)(R 0.576, F 0.691)] [D acc: (0.650)(0.621, 0.680)] [G loss: 1.000] [G acc: 0.137]\n",
      "842 [D loss: (0.576)(R 0.546, F 0.607)] [D acc: (0.721)(0.699, 0.742)] [G loss: 1.083] [G acc: 0.121]\n",
      "843 [D loss: (0.603)(R 0.583, F 0.624)] [D acc: (0.691)(0.652, 0.730)] [G loss: 1.104] [G acc: 0.070]\n",
      "844 [D loss: (0.579)(R 0.587, F 0.570)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.071] [G acc: 0.168]\n",
      "845 [D loss: (0.599)(R 0.608, F 0.590)] [D acc: (0.688)(0.590, 0.785)] [G loss: 1.139] [G acc: 0.094]\n",
      "846 [D loss: (0.610)(R 0.601, F 0.619)] [D acc: (0.670)(0.617, 0.723)] [G loss: 1.189] [G acc: 0.109]\n",
      "847 [D loss: (0.590)(R 0.610, F 0.570)] [D acc: (0.697)(0.598, 0.797)] [G loss: 1.180] [G acc: 0.035]\n",
      "848 [D loss: (0.627)(R 0.599, F 0.655)] [D acc: (0.654)(0.594, 0.715)] [G loss: 1.096] [G acc: 0.074]\n",
      "849 [D loss: (0.615)(R 0.613, F 0.617)] [D acc: (0.654)(0.602, 0.707)] [G loss: 1.080] [G acc: 0.117]\n",
      "850 [D loss: (0.594)(R 0.552, F 0.635)] [D acc: (0.666)(0.641, 0.691)] [G loss: 1.106] [G acc: 0.129]\n",
      "851 [D loss: (0.592)(R 0.606, F 0.578)] [D acc: (0.666)(0.598, 0.734)] [G loss: 1.112] [G acc: 0.121]\n",
      "852 [D loss: (0.636)(R 0.641, F 0.630)] [D acc: (0.646)(0.574, 0.719)] [G loss: 1.052] [G acc: 0.098]\n",
      "853 [D loss: (0.665)(R 0.665, F 0.665)] [D acc: (0.607)(0.512, 0.703)] [G loss: 1.025] [G acc: 0.113]\n",
      "854 [D loss: (0.582)(R 0.577, F 0.587)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.033] [G acc: 0.098]\n",
      "855 [D loss: (0.589)(R 0.578, F 0.600)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.115] [G acc: 0.086]\n",
      "856 [D loss: (0.564)(R 0.583, F 0.545)] [D acc: (0.713)(0.617, 0.809)] [G loss: 1.198] [G acc: 0.070]\n",
      "857 [D loss: (0.592)(R 0.531, F 0.654)] [D acc: (0.684)(0.652, 0.715)] [G loss: 1.061] [G acc: 0.137]\n",
      "858 [D loss: (0.622)(R 0.566, F 0.679)] [D acc: (0.627)(0.641, 0.613)] [G loss: 1.072] [G acc: 0.160]\n",
      "859 [D loss: (0.610)(R 0.624, F 0.596)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.106] [G acc: 0.109]\n",
      "860 [D loss: (0.612)(R 0.609, F 0.614)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.141] [G acc: 0.105]\n",
      "861 [D loss: (0.584)(R 0.633, F 0.535)] [D acc: (0.721)(0.613, 0.828)] [G loss: 1.139] [G acc: 0.102]\n",
      "862 [D loss: (0.608)(R 0.553, F 0.662)] [D acc: (0.684)(0.672, 0.695)] [G loss: 1.063] [G acc: 0.117]\n",
      "863 [D loss: (0.581)(R 0.545, F 0.616)] [D acc: (0.686)(0.684, 0.688)] [G loss: 1.050] [G acc: 0.184]\n",
      "864 [D loss: (0.608)(R 0.551, F 0.665)] [D acc: (0.658)(0.652, 0.664)] [G loss: 1.327] [G acc: 0.102]\n",
      "865 [D loss: (0.597)(R 0.676, F 0.517)] [D acc: (0.709)(0.582, 0.836)] [G loss: 1.323] [G acc: 0.035]\n",
      "866 [D loss: (0.601)(R 0.584, F 0.618)] [D acc: (0.666)(0.621, 0.711)] [G loss: 1.069] [G acc: 0.148]\n",
      "867 [D loss: (0.632)(R 0.603, F 0.661)] [D acc: (0.633)(0.602, 0.664)] [G loss: 1.081] [G acc: 0.152]\n",
      "868 [D loss: (0.618)(R 0.603, F 0.632)] [D acc: (0.666)(0.625, 0.707)] [G loss: 1.081] [G acc: 0.145]\n",
      "869 [D loss: (0.621)(R 0.585, F 0.656)] [D acc: (0.652)(0.656, 0.648)] [G loss: 1.083] [G acc: 0.145]\n",
      "870 [D loss: (0.621)(R 0.609, F 0.633)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.099] [G acc: 0.137]\n",
      "871 [D loss: (0.615)(R 0.629, F 0.602)] [D acc: (0.648)(0.570, 0.727)] [G loss: 1.057] [G acc: 0.168]\n",
      "872 [D loss: (0.623)(R 0.620, F 0.625)] [D acc: (0.654)(0.590, 0.719)] [G loss: 1.053] [G acc: 0.133]\n",
      "873 [D loss: (0.641)(R 0.646, F 0.637)] [D acc: (0.611)(0.547, 0.676)] [G loss: 1.074] [G acc: 0.141]\n",
      "874 [D loss: (0.626)(R 0.636, F 0.615)] [D acc: (0.656)(0.578, 0.734)] [G loss: 1.057] [G acc: 0.129]\n",
      "875 [D loss: (0.604)(R 0.583, F 0.624)] [D acc: (0.648)(0.609, 0.688)] [G loss: 1.066] [G acc: 0.137]\n",
      "876 [D loss: (0.632)(R 0.633, F 0.630)] [D acc: (0.650)(0.574, 0.727)] [G loss: 1.090] [G acc: 0.090]\n",
      "877 [D loss: (0.622)(R 0.595, F 0.650)] [D acc: (0.643)(0.605, 0.680)] [G loss: 1.092] [G acc: 0.098]\n",
      "878 [D loss: (0.632)(R 0.611, F 0.653)] [D acc: (0.639)(0.586, 0.691)] [G loss: 1.080] [G acc: 0.078]\n",
      "879 [D loss: (0.593)(R 0.555, F 0.630)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.087] [G acc: 0.129]\n",
      "880 [D loss: (0.610)(R 0.623, F 0.598)] [D acc: (0.646)(0.559, 0.734)] [G loss: 1.070] [G acc: 0.094]\n",
      "881 [D loss: (0.647)(R 0.643, F 0.651)] [D acc: (0.623)(0.559, 0.688)] [G loss: 1.015] [G acc: 0.148]\n",
      "882 [D loss: (0.606)(R 0.614, F 0.599)] [D acc: (0.658)(0.582, 0.734)] [G loss: 1.067] [G acc: 0.129]\n",
      "883 [D loss: (0.591)(R 0.609, F 0.574)] [D acc: (0.686)(0.637, 0.734)] [G loss: 1.065] [G acc: 0.133]\n",
      "884 [D loss: (0.593)(R 0.617, F 0.568)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.051] [G acc: 0.121]\n",
      "885 [D loss: (0.637)(R 0.584, F 0.691)] [D acc: (0.641)(0.633, 0.648)] [G loss: 1.156] [G acc: 0.102]\n",
      "886 [D loss: (0.576)(R 0.623, F 0.530)] [D acc: (0.713)(0.594, 0.832)] [G loss: 1.176] [G acc: 0.074]\n",
      "887 [D loss: (0.623)(R 0.599, F 0.647)] [D acc: (0.613)(0.566, 0.660)] [G loss: 1.055] [G acc: 0.137]\n",
      "888 [D loss: (0.610)(R 0.569, F 0.650)] [D acc: (0.656)(0.605, 0.707)] [G loss: 1.013] [G acc: 0.145]\n",
      "889 [D loss: (0.611)(R 0.575, F 0.648)] [D acc: (0.666)(0.648, 0.684)] [G loss: 1.071] [G acc: 0.148]\n",
      "890 [D loss: (0.602)(R 0.624, F 0.579)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.163] [G acc: 0.105]\n",
      "891 [D loss: (0.582)(R 0.633, F 0.531)] [D acc: (0.723)(0.574, 0.871)] [G loss: 1.090] [G acc: 0.191]\n",
      "892 [D loss: (0.615)(R 0.523, F 0.707)] [D acc: (0.645)(0.660, 0.629)] [G loss: 1.030] [G acc: 0.191]\n",
      "893 [D loss: (0.586)(R 0.606, F 0.565)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.054] [G acc: 0.137]\n",
      "894 [D loss: (0.601)(R 0.545, F 0.658)] [D acc: (0.703)(0.680, 0.727)] [G loss: 1.197] [G acc: 0.145]\n",
      "895 [D loss: (0.578)(R 0.683, F 0.474)] [D acc: (0.723)(0.559, 0.887)] [G loss: 1.217] [G acc: 0.086]\n",
      "896 [D loss: (0.673)(R 0.529, F 0.818)] [D acc: (0.598)(0.660, 0.535)] [G loss: 1.036] [G acc: 0.184]\n",
      "897 [D loss: (0.605)(R 0.619, F 0.592)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.017] [G acc: 0.172]\n",
      "898 [D loss: (0.606)(R 0.565, F 0.646)] [D acc: (0.668)(0.664, 0.672)] [G loss: 1.072] [G acc: 0.137]\n",
      "899 [D loss: (0.578)(R 0.584, F 0.573)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.101] [G acc: 0.121]\n",
      "900 [D loss: (0.622)(R 0.647, F 0.597)] [D acc: (0.633)(0.543, 0.723)] [G loss: 1.038] [G acc: 0.141]\n",
      "901 [D loss: (0.650)(R 0.608, F 0.692)] [D acc: (0.625)(0.598, 0.652)] [G loss: 1.064] [G acc: 0.152]\n",
      "902 [D loss: (0.593)(R 0.620, F 0.565)] [D acc: (0.674)(0.578, 0.770)] [G loss: 1.052] [G acc: 0.152]\n",
      "903 [D loss: (0.593)(R 0.566, F 0.620)] [D acc: (0.672)(0.648, 0.695)] [G loss: 1.107] [G acc: 0.145]\n",
      "904 [D loss: (0.579)(R 0.613, F 0.545)] [D acc: (0.697)(0.598, 0.797)] [G loss: 1.095] [G acc: 0.117]\n",
      "905 [D loss: (0.632)(R 0.584, F 0.681)] [D acc: (0.645)(0.625, 0.664)] [G loss: 1.158] [G acc: 0.117]\n",
      "906 [D loss: (0.601)(R 0.650, F 0.552)] [D acc: (0.680)(0.523, 0.836)] [G loss: 1.078] [G acc: 0.102]\n",
      "907 [D loss: (0.590)(R 0.557, F 0.622)] [D acc: (0.680)(0.645, 0.715)] [G loss: 1.034] [G acc: 0.148]\n",
      "908 [D loss: (0.648)(R 0.659, F 0.637)] [D acc: (0.607)(0.531, 0.684)] [G loss: 1.100] [G acc: 0.129]\n",
      "909 [D loss: (0.585)(R 0.585, F 0.586)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.028] [G acc: 0.168]\n",
      "910 [D loss: (0.619)(R 0.583, F 0.656)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.103] [G acc: 0.117]\n",
      "911 [D loss: (0.607)(R 0.628, F 0.585)] [D acc: (0.664)(0.586, 0.742)] [G loss: 1.119] [G acc: 0.078]\n",
      "912 [D loss: (0.615)(R 0.618, F 0.613)] [D acc: (0.646)(0.562, 0.730)] [G loss: 1.123] [G acc: 0.125]\n",
      "913 [D loss: (0.547)(R 0.551, F 0.542)] [D acc: (0.736)(0.668, 0.805)] [G loss: 1.167] [G acc: 0.102]\n",
      "914 [D loss: (0.560)(R 0.536, F 0.583)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.112] [G acc: 0.141]\n",
      "915 [D loss: (0.557)(R 0.539, F 0.575)] [D acc: (0.717)(0.660, 0.773)] [G loss: 1.152] [G acc: 0.125]\n",
      "916 [D loss: (0.636)(R 0.585, F 0.687)] [D acc: (0.635)(0.633, 0.637)] [G loss: 1.113] [G acc: 0.086]\n",
      "917 [D loss: (0.619)(R 0.631, F 0.608)] [D acc: (0.658)(0.559, 0.758)] [G loss: 1.085] [G acc: 0.145]\n",
      "918 [D loss: (0.618)(R 0.625, F 0.611)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.091] [G acc: 0.105]\n",
      "919 [D loss: (0.615)(R 0.589, F 0.641)] [D acc: (0.645)(0.598, 0.691)] [G loss: 1.080] [G acc: 0.145]\n",
      "920 [D loss: (0.580)(R 0.582, F 0.577)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.124] [G acc: 0.109]\n",
      "921 [D loss: (0.606)(R 0.536, F 0.676)] [D acc: (0.697)(0.695, 0.699)] [G loss: 1.219] [G acc: 0.102]\n",
      "922 [D loss: (0.580)(R 0.641, F 0.519)] [D acc: (0.699)(0.574, 0.824)] [G loss: 1.133] [G acc: 0.145]\n",
      "923 [D loss: (0.611)(R 0.583, F 0.640)] [D acc: (0.670)(0.637, 0.703)] [G loss: 1.546] [G acc: 0.059]\n",
      "924 [D loss: (0.623)(R 0.706, F 0.539)] [D acc: (0.670)(0.539, 0.801)] [G loss: 1.275] [G acc: 0.062]\n",
      "925 [D loss: (0.591)(R 0.584, F 0.597)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.065] [G acc: 0.195]\n",
      "926 [D loss: (0.618)(R 0.549, F 0.687)] [D acc: (0.648)(0.668, 0.629)] [G loss: 1.113] [G acc: 0.145]\n",
      "927 [D loss: (0.595)(R 0.593, F 0.597)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.051] [G acc: 0.191]\n",
      "928 [D loss: (0.589)(R 0.596, F 0.581)] [D acc: (0.674)(0.613, 0.734)] [G loss: 1.100] [G acc: 0.133]\n",
      "929 [D loss: (0.574)(R 0.578, F 0.571)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.106] [G acc: 0.133]\n",
      "930 [D loss: (0.573)(R 0.542, F 0.604)] [D acc: (0.711)(0.680, 0.742)] [G loss: 1.115] [G acc: 0.156]\n",
      "931 [D loss: (0.623)(R 0.611, F 0.635)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.157] [G acc: 0.086]\n",
      "932 [D loss: (0.594)(R 0.611, F 0.577)] [D acc: (0.660)(0.559, 0.762)] [G loss: 1.050] [G acc: 0.145]\n",
      "933 [D loss: (0.611)(R 0.531, F 0.692)] [D acc: (0.654)(0.680, 0.629)] [G loss: 1.141] [G acc: 0.121]\n",
      "934 [D loss: (0.628)(R 0.604, F 0.653)] [D acc: (0.645)(0.598, 0.691)] [G loss: 1.098] [G acc: 0.148]\n",
      "935 [D loss: (0.626)(R 0.665, F 0.587)] [D acc: (0.648)(0.578, 0.719)] [G loss: 1.033] [G acc: 0.152]\n",
      "936 [D loss: (0.621)(R 0.610, F 0.632)] [D acc: (0.637)(0.598, 0.676)] [G loss: 1.097] [G acc: 0.152]\n",
      "937 [D loss: (0.619)(R 0.623, F 0.615)] [D acc: (0.654)(0.578, 0.730)] [G loss: 1.014] [G acc: 0.137]\n",
      "938 [D loss: (0.605)(R 0.582, F 0.629)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.095] [G acc: 0.133]\n",
      "939 [D loss: (0.582)(R 0.576, F 0.588)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.081] [G acc: 0.121]\n",
      "940 [D loss: (0.576)(R 0.568, F 0.583)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.098] [G acc: 0.160]\n",
      "941 [D loss: (0.614)(R 0.596, F 0.632)] [D acc: (0.654)(0.590, 0.719)] [G loss: 1.048] [G acc: 0.148]\n",
      "942 [D loss: (0.590)(R 0.589, F 0.591)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.134] [G acc: 0.133]\n",
      "943 [D loss: (0.571)(R 0.631, F 0.511)] [D acc: (0.699)(0.559, 0.840)] [G loss: 1.182] [G acc: 0.090]\n",
      "944 [D loss: (0.615)(R 0.541, F 0.689)] [D acc: (0.670)(0.668, 0.672)] [G loss: 1.088] [G acc: 0.156]\n",
      "945 [D loss: (0.593)(R 0.572, F 0.614)] [D acc: (0.680)(0.648, 0.711)] [G loss: 1.151] [G acc: 0.129]\n",
      "946 [D loss: (0.581)(R 0.579, F 0.583)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.128] [G acc: 0.121]\n",
      "947 [D loss: (0.620)(R 0.566, F 0.674)] [D acc: (0.670)(0.652, 0.688)] [G loss: 1.210] [G acc: 0.098]\n",
      "948 [D loss: (0.652)(R 0.663, F 0.640)] [D acc: (0.641)(0.586, 0.695)] [G loss: 1.050] [G acc: 0.145]\n",
      "949 [D loss: (0.625)(R 0.618, F 0.631)] [D acc: (0.656)(0.613, 0.699)] [G loss: 1.095] [G acc: 0.160]\n",
      "950 [D loss: (0.612)(R 0.610, F 0.614)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.103] [G acc: 0.152]\n",
      "951 [D loss: (0.574)(R 0.573, F 0.575)] [D acc: (0.729)(0.684, 0.773)] [G loss: 1.070] [G acc: 0.145]\n",
      "952 [D loss: (0.591)(R 0.564, F 0.618)] [D acc: (0.691)(0.656, 0.727)] [G loss: 1.087] [G acc: 0.137]\n",
      "953 [D loss: (0.596)(R 0.590, F 0.601)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.089] [G acc: 0.141]\n",
      "954 [D loss: (0.620)(R 0.617, F 0.623)] [D acc: (0.652)(0.590, 0.715)] [G loss: 1.109] [G acc: 0.105]\n",
      "955 [D loss: (0.568)(R 0.566, F 0.569)] [D acc: (0.740)(0.668, 0.812)] [G loss: 1.104] [G acc: 0.141]\n",
      "956 [D loss: (0.640)(R 0.553, F 0.728)] [D acc: (0.637)(0.664, 0.609)] [G loss: 1.151] [G acc: 0.133]\n",
      "957 [D loss: (0.608)(R 0.635, F 0.581)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.102] [G acc: 0.102]\n",
      "958 [D loss: (0.631)(R 0.594, F 0.667)] [D acc: (0.648)(0.621, 0.676)] [G loss: 1.090] [G acc: 0.117]\n",
      "959 [D loss: (0.599)(R 0.631, F 0.568)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.150] [G acc: 0.090]\n",
      "960 [D loss: (0.635)(R 0.619, F 0.651)] [D acc: (0.648)(0.594, 0.703)] [G loss: 1.062] [G acc: 0.137]\n",
      "961 [D loss: (0.618)(R 0.614, F 0.621)] [D acc: (0.672)(0.602, 0.742)] [G loss: 1.048] [G acc: 0.145]\n",
      "962 [D loss: (0.614)(R 0.622, F 0.606)] [D acc: (0.664)(0.586, 0.742)] [G loss: 1.098] [G acc: 0.109]\n",
      "963 [D loss: (0.559)(R 0.541, F 0.577)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.056] [G acc: 0.152]\n",
      "964 [D loss: (0.584)(R 0.582, F 0.586)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.086] [G acc: 0.121]\n",
      "965 [D loss: (0.629)(R 0.626, F 0.632)] [D acc: (0.621)(0.539, 0.703)] [G loss: 1.261] [G acc: 0.051]\n",
      "966 [D loss: (0.561)(R 0.623, F 0.499)] [D acc: (0.705)(0.547, 0.863)] [G loss: 1.257] [G acc: 0.074]\n",
      "967 [D loss: (0.597)(R 0.533, F 0.661)] [D acc: (0.680)(0.688, 0.672)] [G loss: 1.088] [G acc: 0.125]\n",
      "968 [D loss: (0.616)(R 0.563, F 0.669)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.118] [G acc: 0.121]\n",
      "969 [D loss: (0.603)(R 0.595, F 0.610)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.101] [G acc: 0.125]\n",
      "970 [D loss: (0.608)(R 0.595, F 0.622)] [D acc: (0.656)(0.602, 0.711)] [G loss: 1.105] [G acc: 0.152]\n",
      "971 [D loss: (0.573)(R 0.586, F 0.559)] [D acc: (0.711)(0.641, 0.781)] [G loss: 1.140] [G acc: 0.078]\n",
      "972 [D loss: (0.604)(R 0.602, F 0.607)] [D acc: (0.672)(0.629, 0.715)] [G loss: 1.169] [G acc: 0.105]\n",
      "973 [D loss: (0.628)(R 0.684, F 0.572)] [D acc: (0.666)(0.539, 0.793)] [G loss: 1.137] [G acc: 0.070]\n",
      "974 [D loss: (0.607)(R 0.557, F 0.656)] [D acc: (0.691)(0.688, 0.695)] [G loss: 1.100] [G acc: 0.102]\n",
      "975 [D loss: (0.608)(R 0.591, F 0.625)] [D acc: (0.652)(0.613, 0.691)] [G loss: 1.083] [G acc: 0.148]\n",
      "976 [D loss: (0.617)(R 0.621, F 0.612)] [D acc: (0.648)(0.602, 0.695)] [G loss: 1.077] [G acc: 0.172]\n",
      "977 [D loss: (0.593)(R 0.596, F 0.589)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.108] [G acc: 0.133]\n",
      "978 [D loss: (0.587)(R 0.576, F 0.599)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.129] [G acc: 0.141]\n",
      "979 [D loss: (0.592)(R 0.563, F 0.620)] [D acc: (0.693)(0.672, 0.715)] [G loss: 1.097] [G acc: 0.105]\n",
      "980 [D loss: (0.591)(R 0.559, F 0.623)] [D acc: (0.652)(0.625, 0.680)] [G loss: 1.071] [G acc: 0.098]\n",
      "981 [D loss: (0.570)(R 0.556, F 0.584)] [D acc: (0.719)(0.637, 0.801)] [G loss: 1.135] [G acc: 0.113]\n",
      "982 [D loss: (0.607)(R 0.571, F 0.644)] [D acc: (0.662)(0.648, 0.676)] [G loss: 1.115] [G acc: 0.137]\n",
      "983 [D loss: (0.621)(R 0.611, F 0.632)] [D acc: (0.654)(0.598, 0.711)] [G loss: 1.117] [G acc: 0.086]\n",
      "984 [D loss: (0.616)(R 0.588, F 0.644)] [D acc: (0.637)(0.566, 0.707)] [G loss: 1.055] [G acc: 0.109]\n",
      "985 [D loss: (0.598)(R 0.589, F 0.608)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.104] [G acc: 0.164]\n",
      "986 [D loss: (0.578)(R 0.568, F 0.587)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.118] [G acc: 0.145]\n",
      "987 [D loss: (0.622)(R 0.603, F 0.642)] [D acc: (0.646)(0.594, 0.699)] [G loss: 1.075] [G acc: 0.121]\n",
      "988 [D loss: (0.617)(R 0.635, F 0.599)] [D acc: (0.656)(0.586, 0.727)] [G loss: 1.079] [G acc: 0.117]\n",
      "989 [D loss: (0.611)(R 0.624, F 0.597)] [D acc: (0.658)(0.582, 0.734)] [G loss: 1.137] [G acc: 0.117]\n",
      "990 [D loss: (0.611)(R 0.665, F 0.557)] [D acc: (0.654)(0.520, 0.789)] [G loss: 1.097] [G acc: 0.113]\n",
      "991 [D loss: (0.585)(R 0.564, F 0.607)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.093] [G acc: 0.137]\n",
      "992 [D loss: (0.604)(R 0.550, F 0.658)] [D acc: (0.664)(0.672, 0.656)] [G loss: 1.170] [G acc: 0.098]\n",
      "993 [D loss: (0.599)(R 0.636, F 0.563)] [D acc: (0.664)(0.555, 0.773)] [G loss: 1.113] [G acc: 0.105]\n",
      "994 [D loss: (0.588)(R 0.593, F 0.583)] [D acc: (0.707)(0.641, 0.773)] [G loss: 1.089] [G acc: 0.129]\n",
      "995 [D loss: (0.571)(R 0.542, F 0.599)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.197] [G acc: 0.109]\n",
      "996 [D loss: (0.581)(R 0.590, F 0.573)] [D acc: (0.715)(0.621, 0.809)] [G loss: 1.159] [G acc: 0.105]\n",
      "997 [D loss: (0.636)(R 0.545, F 0.727)] [D acc: (0.652)(0.672, 0.633)] [G loss: 1.116] [G acc: 0.098]\n",
      "998 [D loss: (0.562)(R 0.558, F 0.566)] [D acc: (0.709)(0.664, 0.754)] [G loss: 1.090] [G acc: 0.145]\n",
      "999 [D loss: (0.618)(R 0.541, F 0.695)] [D acc: (0.658)(0.668, 0.648)] [G loss: 1.143] [G acc: 0.156]\n",
      "1000 [D loss: (0.595)(R 0.599, F 0.591)] [D acc: (0.682)(0.613, 0.750)] [G loss: 1.091] [G acc: 0.133]\n",
      "1001 [D loss: (0.623)(R 0.610, F 0.635)] [D acc: (0.652)(0.586, 0.719)] [G loss: 1.133] [G acc: 0.137]\n",
      "1002 [D loss: (0.592)(R 0.633, F 0.551)] [D acc: (0.689)(0.586, 0.793)] [G loss: 1.119] [G acc: 0.121]\n",
      "1003 [D loss: (0.597)(R 0.575, F 0.620)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.095] [G acc: 0.172]\n",
      "1004 [D loss: (0.577)(R 0.567, F 0.587)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.146] [G acc: 0.129]\n",
      "1005 [D loss: (0.631)(R 0.599, F 0.664)] [D acc: (0.648)(0.621, 0.676)] [G loss: 1.246] [G acc: 0.129]\n",
      "1006 [D loss: (0.565)(R 0.616, F 0.514)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.230] [G acc: 0.105]\n",
      "1007 [D loss: (0.625)(R 0.563, F 0.686)] [D acc: (0.662)(0.648, 0.676)] [G loss: 1.070] [G acc: 0.168]\n",
      "1008 [D loss: (0.614)(R 0.600, F 0.628)] [D acc: (0.662)(0.641, 0.684)] [G loss: 1.075] [G acc: 0.168]\n",
      "1009 [D loss: (0.628)(R 0.632, F 0.623)] [D acc: (0.658)(0.590, 0.727)] [G loss: 1.084] [G acc: 0.156]\n",
      "1010 [D loss: (0.585)(R 0.579, F 0.592)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.104] [G acc: 0.121]\n",
      "1011 [D loss: (0.611)(R 0.570, F 0.652)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.094] [G acc: 0.164]\n",
      "1012 [D loss: (0.601)(R 0.643, F 0.559)] [D acc: (0.666)(0.566, 0.766)] [G loss: 1.153] [G acc: 0.094]\n",
      "1013 [D loss: (0.603)(R 0.594, F 0.612)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.109] [G acc: 0.180]\n",
      "1014 [D loss: (0.600)(R 0.566, F 0.634)] [D acc: (0.672)(0.660, 0.684)] [G loss: 1.074] [G acc: 0.160]\n",
      "1015 [D loss: (0.620)(R 0.590, F 0.649)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.108] [G acc: 0.145]\n",
      "1016 [D loss: (0.616)(R 0.660, F 0.573)] [D acc: (0.670)(0.555, 0.785)] [G loss: 1.056] [G acc: 0.129]\n",
      "1017 [D loss: (0.609)(R 0.610, F 0.607)] [D acc: (0.664)(0.609, 0.719)] [G loss: 1.081] [G acc: 0.145]\n",
      "1018 [D loss: (0.616)(R 0.581, F 0.652)] [D acc: (0.656)(0.625, 0.688)] [G loss: 1.051] [G acc: 0.152]\n",
      "1019 [D loss: (0.631)(R 0.610, F 0.652)] [D acc: (0.635)(0.582, 0.688)] [G loss: 1.084] [G acc: 0.152]\n",
      "1020 [D loss: (0.588)(R 0.603, F 0.573)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.133] [G acc: 0.098]\n",
      "1021 [D loss: (0.594)(R 0.609, F 0.580)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.096] [G acc: 0.109]\n",
      "1022 [D loss: (0.600)(R 0.582, F 0.618)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.220] [G acc: 0.078]\n",
      "1023 [D loss: (0.660)(R 0.700, F 0.620)] [D acc: (0.637)(0.516, 0.758)] [G loss: 1.060] [G acc: 0.129]\n",
      "1024 [D loss: (0.594)(R 0.591, F 0.597)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.161] [G acc: 0.109]\n",
      "1025 [D loss: (0.549)(R 0.563, F 0.536)] [D acc: (0.738)(0.664, 0.812)] [G loss: 1.217] [G acc: 0.090]\n",
      "1026 [D loss: (0.557)(R 0.540, F 0.574)] [D acc: (0.701)(0.652, 0.750)] [G loss: 1.195] [G acc: 0.074]\n",
      "1027 [D loss: (0.604)(R 0.578, F 0.630)] [D acc: (0.654)(0.641, 0.668)] [G loss: 1.200] [G acc: 0.129]\n",
      "1028 [D loss: (0.591)(R 0.630, F 0.553)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.087] [G acc: 0.125]\n",
      "1029 [D loss: (0.605)(R 0.631, F 0.578)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.035] [G acc: 0.160]\n",
      "1030 [D loss: (0.648)(R 0.563, F 0.733)] [D acc: (0.633)(0.641, 0.625)] [G loss: 1.158] [G acc: 0.113]\n",
      "1031 [D loss: (0.604)(R 0.632, F 0.575)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.070] [G acc: 0.137]\n",
      "1032 [D loss: (0.608)(R 0.581, F 0.634)] [D acc: (0.664)(0.633, 0.695)] [G loss: 1.079] [G acc: 0.121]\n",
      "1033 [D loss: (0.608)(R 0.613, F 0.604)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.051] [G acc: 0.152]\n",
      "1034 [D loss: (0.602)(R 0.583, F 0.620)] [D acc: (0.648)(0.621, 0.676)] [G loss: 1.096] [G acc: 0.156]\n",
      "1035 [D loss: (0.568)(R 0.580, F 0.556)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.199] [G acc: 0.059]\n",
      "1036 [D loss: (0.624)(R 0.580, F 0.668)] [D acc: (0.641)(0.594, 0.688)] [G loss: 1.044] [G acc: 0.152]\n",
      "1037 [D loss: (0.584)(R 0.617, F 0.550)] [D acc: (0.674)(0.570, 0.777)] [G loss: 1.067] [G acc: 0.117]\n",
      "1038 [D loss: (0.620)(R 0.621, F 0.618)] [D acc: (0.645)(0.543, 0.746)] [G loss: 1.160] [G acc: 0.117]\n",
      "1039 [D loss: (0.557)(R 0.600, F 0.514)] [D acc: (0.711)(0.598, 0.824)] [G loss: 1.196] [G acc: 0.090]\n",
      "1040 [D loss: (0.640)(R 0.579, F 0.701)] [D acc: (0.611)(0.613, 0.609)] [G loss: 1.045] [G acc: 0.129]\n",
      "1041 [D loss: (0.606)(R 0.590, F 0.621)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.073] [G acc: 0.168]\n",
      "1042 [D loss: (0.595)(R 0.557, F 0.633)] [D acc: (0.686)(0.660, 0.711)] [G loss: 0.977] [G acc: 0.199]\n",
      "1043 [D loss: (0.615)(R 0.605, F 0.625)] [D acc: (0.639)(0.578, 0.699)] [G loss: 1.028] [G acc: 0.176]\n",
      "1044 [D loss: (0.630)(R 0.596, F 0.664)] [D acc: (0.611)(0.605, 0.617)] [G loss: 1.047] [G acc: 0.180]\n",
      "1045 [D loss: (0.579)(R 0.585, F 0.574)] [D acc: (0.672)(0.574, 0.770)] [G loss: 1.048] [G acc: 0.172]\n",
      "1046 [D loss: (0.602)(R 0.581, F 0.623)] [D acc: (0.664)(0.633, 0.695)] [G loss: 1.072] [G acc: 0.141]\n",
      "1047 [D loss: (0.600)(R 0.595, F 0.606)] [D acc: (0.668)(0.598, 0.738)] [G loss: 1.094] [G acc: 0.141]\n",
      "1048 [D loss: (0.596)(R 0.579, F 0.613)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.083] [G acc: 0.180]\n",
      "1049 [D loss: (0.596)(R 0.633, F 0.560)] [D acc: (0.676)(0.555, 0.797)] [G loss: 1.101] [G acc: 0.109]\n",
      "1050 [D loss: (0.611)(R 0.616, F 0.605)] [D acc: (0.660)(0.578, 0.742)] [G loss: 1.079] [G acc: 0.156]\n",
      "1051 [D loss: (0.616)(R 0.642, F 0.589)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.085] [G acc: 0.125]\n",
      "1052 [D loss: (0.615)(R 0.613, F 0.617)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.083] [G acc: 0.121]\n",
      "1053 [D loss: (0.588)(R 0.563, F 0.613)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.082] [G acc: 0.160]\n",
      "1054 [D loss: (0.663)(R 0.627, F 0.699)] [D acc: (0.619)(0.586, 0.652)] [G loss: 1.035] [G acc: 0.156]\n",
      "1055 [D loss: (0.610)(R 0.606, F 0.614)] [D acc: (0.658)(0.602, 0.715)] [G loss: 1.007] [G acc: 0.188]\n",
      "1056 [D loss: (0.602)(R 0.606, F 0.599)] [D acc: (0.689)(0.605, 0.773)] [G loss: 1.117] [G acc: 0.141]\n",
      "1057 [D loss: (0.580)(R 0.597, F 0.562)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.189] [G acc: 0.066]\n",
      "1058 [D loss: (0.606)(R 0.593, F 0.620)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.118] [G acc: 0.160]\n",
      "1059 [D loss: (0.612)(R 0.608, F 0.616)] [D acc: (0.650)(0.613, 0.688)] [G loss: 1.094] [G acc: 0.098]\n",
      "1060 [D loss: (0.600)(R 0.583, F 0.618)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.132] [G acc: 0.113]\n",
      "1061 [D loss: (0.621)(R 0.653, F 0.589)] [D acc: (0.670)(0.582, 0.758)] [G loss: 1.080] [G acc: 0.105]\n",
      "1062 [D loss: (0.613)(R 0.589, F 0.637)] [D acc: (0.662)(0.602, 0.723)] [G loss: 1.033] [G acc: 0.121]\n",
      "1063 [D loss: (0.594)(R 0.580, F 0.608)] [D acc: (0.654)(0.629, 0.680)] [G loss: 1.081] [G acc: 0.148]\n",
      "1064 [D loss: (0.557)(R 0.551, F 0.563)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.111] [G acc: 0.109]\n",
      "1065 [D loss: (0.600)(R 0.590, F 0.611)] [D acc: (0.648)(0.594, 0.703)] [G loss: 1.109] [G acc: 0.109]\n",
      "1066 [D loss: (0.600)(R 0.590, F 0.610)] [D acc: (0.668)(0.629, 0.707)] [G loss: 1.093] [G acc: 0.105]\n",
      "1067 [D loss: (0.615)(R 0.603, F 0.627)] [D acc: (0.660)(0.594, 0.727)] [G loss: 1.106] [G acc: 0.156]\n",
      "1068 [D loss: (0.605)(R 0.588, F 0.623)] [D acc: (0.680)(0.660, 0.699)] [G loss: 1.034] [G acc: 0.184]\n",
      "1069 [D loss: (0.590)(R 0.569, F 0.610)] [D acc: (0.662)(0.648, 0.676)] [G loss: 1.191] [G acc: 0.105]\n",
      "1070 [D loss: (0.650)(R 0.723, F 0.577)] [D acc: (0.631)(0.508, 0.754)] [G loss: 1.135] [G acc: 0.113]\n",
      "1071 [D loss: (0.658)(R 0.584, F 0.732)] [D acc: (0.635)(0.629, 0.641)] [G loss: 1.076] [G acc: 0.117]\n",
      "1072 [D loss: (0.601)(R 0.593, F 0.610)] [D acc: (0.695)(0.684, 0.707)] [G loss: 1.092] [G acc: 0.137]\n",
      "1073 [D loss: (0.620)(R 0.558, F 0.682)] [D acc: (0.664)(0.641, 0.688)] [G loss: 1.077] [G acc: 0.109]\n",
      "1074 [D loss: (0.566)(R 0.583, F 0.550)] [D acc: (0.703)(0.621, 0.785)] [G loss: 1.064] [G acc: 0.172]\n",
      "1075 [D loss: (0.598)(R 0.555, F 0.641)] [D acc: (0.705)(0.668, 0.742)] [G loss: 1.150] [G acc: 0.109]\n",
      "1076 [D loss: (0.542)(R 0.592, F 0.492)] [D acc: (0.748)(0.625, 0.871)] [G loss: 1.165] [G acc: 0.090]\n",
      "1077 [D loss: (0.565)(R 0.505, F 0.625)] [D acc: (0.705)(0.688, 0.723)] [G loss: 1.101] [G acc: 0.148]\n",
      "1078 [D loss: (0.609)(R 0.576, F 0.643)] [D acc: (0.664)(0.660, 0.668)] [G loss: 1.184] [G acc: 0.145]\n",
      "1079 [D loss: (0.608)(R 0.547, F 0.668)] [D acc: (0.670)(0.660, 0.680)] [G loss: 1.164] [G acc: 0.105]\n",
      "1080 [D loss: (0.609)(R 0.608, F 0.611)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.099] [G acc: 0.168]\n",
      "1081 [D loss: (0.589)(R 0.570, F 0.608)] [D acc: (0.672)(0.656, 0.688)] [G loss: 1.127] [G acc: 0.121]\n",
      "1082 [D loss: (0.590)(R 0.569, F 0.611)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.080] [G acc: 0.141]\n",
      "1083 [D loss: (0.622)(R 0.585, F 0.658)] [D acc: (0.656)(0.641, 0.672)] [G loss: 1.139] [G acc: 0.113]\n",
      "1084 [D loss: (0.587)(R 0.590, F 0.584)] [D acc: (0.707)(0.641, 0.773)] [G loss: 1.117] [G acc: 0.105]\n",
      "1085 [D loss: (0.587)(R 0.558, F 0.617)] [D acc: (0.689)(0.668, 0.711)] [G loss: 1.146] [G acc: 0.133]\n",
      "1086 [D loss: (0.596)(R 0.582, F 0.610)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.119] [G acc: 0.117]\n",
      "1087 [D loss: (0.593)(R 0.584, F 0.603)] [D acc: (0.662)(0.613, 0.711)] [G loss: 1.211] [G acc: 0.117]\n",
      "1088 [D loss: (0.557)(R 0.616, F 0.498)] [D acc: (0.734)(0.645, 0.824)] [G loss: 1.274] [G acc: 0.047]\n",
      "1089 [D loss: (0.594)(R 0.575, F 0.613)] [D acc: (0.664)(0.637, 0.691)] [G loss: 1.100] [G acc: 0.129]\n",
      "1090 [D loss: (0.586)(R 0.586, F 0.585)] [D acc: (0.654)(0.594, 0.715)] [G loss: 1.211] [G acc: 0.133]\n",
      "1091 [D loss: (0.568)(R 0.600, F 0.536)] [D acc: (0.717)(0.633, 0.801)] [G loss: 1.236] [G acc: 0.070]\n",
      "1092 [D loss: (0.579)(R 0.557, F 0.602)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.109] [G acc: 0.148]\n",
      "1093 [D loss: (0.583)(R 0.531, F 0.635)] [D acc: (0.688)(0.688, 0.688)] [G loss: 1.143] [G acc: 0.168]\n",
      "1094 [D loss: (0.585)(R 0.546, F 0.625)] [D acc: (0.676)(0.660, 0.691)] [G loss: 1.174] [G acc: 0.121]\n",
      "1095 [D loss: (0.580)(R 0.601, F 0.559)] [D acc: (0.674)(0.578, 0.770)] [G loss: 1.056] [G acc: 0.211]\n",
      "1096 [D loss: (0.588)(R 0.555, F 0.621)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.086] [G acc: 0.152]\n",
      "1097 [D loss: (0.612)(R 0.608, F 0.617)] [D acc: (0.672)(0.605, 0.738)] [G loss: 1.248] [G acc: 0.125]\n",
      "1098 [D loss: (0.614)(R 0.646, F 0.581)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.183] [G acc: 0.066]\n",
      "1099 [D loss: (0.610)(R 0.563, F 0.657)] [D acc: (0.662)(0.672, 0.652)] [G loss: 1.089] [G acc: 0.141]\n",
      "1100 [D loss: (0.574)(R 0.560, F 0.588)] [D acc: (0.686)(0.664, 0.707)] [G loss: 1.142] [G acc: 0.164]\n",
      "1101 [D loss: (0.603)(R 0.598, F 0.608)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.116] [G acc: 0.098]\n",
      "1102 [D loss: (0.589)(R 0.584, F 0.594)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.189] [G acc: 0.121]\n",
      "1103 [D loss: (0.562)(R 0.626, F 0.498)] [D acc: (0.715)(0.602, 0.828)] [G loss: 1.184] [G acc: 0.094]\n",
      "1104 [D loss: (0.620)(R 0.575, F 0.666)] [D acc: (0.650)(0.613, 0.688)] [G loss: 1.072] [G acc: 0.164]\n",
      "1105 [D loss: (0.602)(R 0.605, F 0.600)] [D acc: (0.686)(0.633, 0.738)] [G loss: 1.102] [G acc: 0.145]\n",
      "1106 [D loss: (0.587)(R 0.535, F 0.639)] [D acc: (0.697)(0.688, 0.707)] [G loss: 1.105] [G acc: 0.141]\n",
      "1107 [D loss: (0.624)(R 0.608, F 0.640)] [D acc: (0.656)(0.609, 0.703)] [G loss: 1.179] [G acc: 0.109]\n",
      "1108 [D loss: (0.699)(R 0.793, F 0.604)] [D acc: (0.578)(0.426, 0.730)] [G loss: 1.019] [G acc: 0.156]\n",
      "1109 [D loss: (0.638)(R 0.635, F 0.641)] [D acc: (0.625)(0.559, 0.691)] [G loss: 1.046] [G acc: 0.129]\n",
      "1110 [D loss: (0.594)(R 0.572, F 0.617)] [D acc: (0.684)(0.648, 0.719)] [G loss: 1.039] [G acc: 0.152]\n",
      "1111 [D loss: (0.588)(R 0.607, F 0.569)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.104] [G acc: 0.129]\n",
      "1112 [D loss: (0.589)(R 0.609, F 0.569)] [D acc: (0.666)(0.574, 0.758)] [G loss: 1.072] [G acc: 0.098]\n",
      "1113 [D loss: (0.605)(R 0.607, F 0.603)] [D acc: (0.652)(0.602, 0.703)] [G loss: 1.071] [G acc: 0.152]\n",
      "1114 [D loss: (0.575)(R 0.589, F 0.561)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.128] [G acc: 0.125]\n",
      "1115 [D loss: (0.636)(R 0.602, F 0.670)] [D acc: (0.627)(0.582, 0.672)] [G loss: 1.108] [G acc: 0.086]\n",
      "1116 [D loss: (0.593)(R 0.646, F 0.540)] [D acc: (0.668)(0.555, 0.781)] [G loss: 1.123] [G acc: 0.086]\n",
      "1117 [D loss: (0.590)(R 0.587, F 0.593)] [D acc: (0.658)(0.574, 0.742)] [G loss: 1.105] [G acc: 0.129]\n",
      "1118 [D loss: (0.611)(R 0.589, F 0.633)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.066] [G acc: 0.148]\n",
      "1119 [D loss: (0.577)(R 0.562, F 0.592)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.152] [G acc: 0.133]\n",
      "1120 [D loss: (0.563)(R 0.588, F 0.538)] [D acc: (0.719)(0.617, 0.820)] [G loss: 1.174] [G acc: 0.086]\n",
      "1121 [D loss: (0.669)(R 0.596, F 0.742)] [D acc: (0.617)(0.605, 0.629)] [G loss: 1.079] [G acc: 0.148]\n",
      "1122 [D loss: (0.589)(R 0.577, F 0.602)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.032] [G acc: 0.168]\n",
      "1123 [D loss: (0.603)(R 0.585, F 0.622)] [D acc: (0.645)(0.605, 0.684)] [G loss: 1.141] [G acc: 0.117]\n",
      "1124 [D loss: (0.600)(R 0.642, F 0.558)] [D acc: (0.674)(0.566, 0.781)] [G loss: 1.173] [G acc: 0.086]\n",
      "1125 [D loss: (0.584)(R 0.562, F 0.606)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.106] [G acc: 0.152]\n",
      "1126 [D loss: (0.632)(R 0.620, F 0.643)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.125] [G acc: 0.121]\n",
      "1127 [D loss: (0.626)(R 0.602, F 0.650)] [D acc: (0.646)(0.629, 0.664)] [G loss: 1.125] [G acc: 0.129]\n",
      "1128 [D loss: (0.627)(R 0.660, F 0.594)] [D acc: (0.623)(0.527, 0.719)] [G loss: 1.041] [G acc: 0.156]\n",
      "1129 [D loss: (0.614)(R 0.569, F 0.659)] [D acc: (0.678)(0.652, 0.703)] [G loss: 1.124] [G acc: 0.129]\n",
      "1130 [D loss: (0.608)(R 0.612, F 0.603)] [D acc: (0.645)(0.598, 0.691)] [G loss: 1.118] [G acc: 0.125]\n",
      "1131 [D loss: (0.634)(R 0.618, F 0.651)] [D acc: (0.627)(0.559, 0.695)] [G loss: 1.048] [G acc: 0.117]\n",
      "1132 [D loss: (0.616)(R 0.626, F 0.606)] [D acc: (0.664)(0.574, 0.754)] [G loss: 1.086] [G acc: 0.148]\n",
      "1133 [D loss: (0.598)(R 0.603, F 0.593)] [D acc: (0.666)(0.578, 0.754)] [G loss: 1.145] [G acc: 0.113]\n",
      "1134 [D loss: (0.613)(R 0.638, F 0.589)] [D acc: (0.654)(0.543, 0.766)] [G loss: 1.091] [G acc: 0.105]\n",
      "1135 [D loss: (0.599)(R 0.625, F 0.573)] [D acc: (0.674)(0.578, 0.770)] [G loss: 1.088] [G acc: 0.160]\n",
      "1136 [D loss: (0.579)(R 0.575, F 0.583)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.113] [G acc: 0.113]\n",
      "1137 [D loss: (0.593)(R 0.582, F 0.604)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.064] [G acc: 0.156]\n",
      "1138 [D loss: (0.579)(R 0.602, F 0.556)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.075] [G acc: 0.121]\n",
      "1139 [D loss: (0.631)(R 0.557, F 0.706)] [D acc: (0.648)(0.637, 0.660)] [G loss: 1.103] [G acc: 0.152]\n",
      "1140 [D loss: (0.614)(R 0.666, F 0.562)] [D acc: (0.662)(0.535, 0.789)] [G loss: 1.121] [G acc: 0.102]\n",
      "1141 [D loss: (0.615)(R 0.613, F 0.617)] [D acc: (0.660)(0.594, 0.727)] [G loss: 1.079] [G acc: 0.160]\n",
      "1142 [D loss: (0.576)(R 0.565, F 0.588)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.112] [G acc: 0.129]\n",
      "1143 [D loss: (0.582)(R 0.594, F 0.571)] [D acc: (0.668)(0.578, 0.758)] [G loss: 1.112] [G acc: 0.141]\n",
      "1144 [D loss: (0.613)(R 0.562, F 0.665)] [D acc: (0.646)(0.629, 0.664)] [G loss: 1.251] [G acc: 0.070]\n",
      "1145 [D loss: (0.584)(R 0.636, F 0.532)] [D acc: (0.697)(0.586, 0.809)] [G loss: 1.174] [G acc: 0.055]\n",
      "1146 [D loss: (0.603)(R 0.566, F 0.641)] [D acc: (0.645)(0.613, 0.676)] [G loss: 1.090] [G acc: 0.145]\n",
      "1147 [D loss: (0.591)(R 0.590, F 0.592)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.129] [G acc: 0.129]\n",
      "1148 [D loss: (0.569)(R 0.554, F 0.584)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.127] [G acc: 0.113]\n",
      "1149 [D loss: (0.588)(R 0.597, F 0.578)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.181] [G acc: 0.094]\n",
      "1150 [D loss: (0.575)(R 0.613, F 0.537)] [D acc: (0.703)(0.590, 0.816)] [G loss: 1.181] [G acc: 0.094]\n",
      "1151 [D loss: (0.653)(R 0.602, F 0.703)] [D acc: (0.607)(0.598, 0.617)] [G loss: 1.056] [G acc: 0.164]\n",
      "1152 [D loss: (0.573)(R 0.551, F 0.596)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.139] [G acc: 0.121]\n",
      "1153 [D loss: (0.584)(R 0.590, F 0.578)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.095] [G acc: 0.105]\n",
      "1154 [D loss: (0.592)(R 0.564, F 0.620)] [D acc: (0.672)(0.605, 0.738)] [G loss: 1.116] [G acc: 0.145]\n",
      "1155 [D loss: (0.576)(R 0.578, F 0.574)] [D acc: (0.715)(0.645, 0.785)] [G loss: 1.114] [G acc: 0.113]\n",
      "1156 [D loss: (0.598)(R 0.588, F 0.609)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.087] [G acc: 0.156]\n",
      "1157 [D loss: (0.604)(R 0.616, F 0.592)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.093] [G acc: 0.141]\n",
      "1158 [D loss: (0.591)(R 0.590, F 0.591)] [D acc: (0.662)(0.617, 0.707)] [G loss: 1.106] [G acc: 0.121]\n",
      "1159 [D loss: (0.592)(R 0.585, F 0.599)] [D acc: (0.664)(0.609, 0.719)] [G loss: 1.128] [G acc: 0.082]\n",
      "1160 [D loss: (0.632)(R 0.646, F 0.618)] [D acc: (0.641)(0.566, 0.715)] [G loss: 1.227] [G acc: 0.090]\n",
      "1161 [D loss: (0.575)(R 0.639, F 0.510)] [D acc: (0.734)(0.598, 0.871)] [G loss: 1.142] [G acc: 0.094]\n",
      "1162 [D loss: (0.584)(R 0.543, F 0.625)] [D acc: (0.682)(0.660, 0.703)] [G loss: 1.103] [G acc: 0.102]\n",
      "1163 [D loss: (0.577)(R 0.562, F 0.592)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.169] [G acc: 0.117]\n",
      "1164 [D loss: (0.608)(R 0.624, F 0.592)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.187] [G acc: 0.133]\n",
      "1165 [D loss: (0.628)(R 0.534, F 0.722)] [D acc: (0.648)(0.656, 0.641)] [G loss: 1.182] [G acc: 0.113]\n",
      "1166 [D loss: (0.578)(R 0.620, F 0.536)] [D acc: (0.725)(0.613, 0.836)] [G loss: 1.185] [G acc: 0.074]\n",
      "1167 [D loss: (0.623)(R 0.618, F 0.629)] [D acc: (0.625)(0.594, 0.656)] [G loss: 1.140] [G acc: 0.141]\n",
      "1168 [D loss: (0.599)(R 0.600, F 0.597)] [D acc: (0.676)(0.629, 0.723)] [G loss: 1.144] [G acc: 0.117]\n",
      "1169 [D loss: (0.584)(R 0.567, F 0.600)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.147] [G acc: 0.098]\n",
      "1170 [D loss: (0.620)(R 0.569, F 0.671)] [D acc: (0.654)(0.625, 0.684)] [G loss: 1.116] [G acc: 0.133]\n",
      "1171 [D loss: (0.622)(R 0.582, F 0.662)] [D acc: (0.637)(0.629, 0.645)] [G loss: 1.066] [G acc: 0.148]\n",
      "1172 [D loss: (0.611)(R 0.604, F 0.618)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.125] [G acc: 0.133]\n",
      "1173 [D loss: (0.596)(R 0.606, F 0.586)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.110] [G acc: 0.090]\n",
      "1174 [D loss: (0.581)(R 0.613, F 0.548)] [D acc: (0.693)(0.578, 0.809)] [G loss: 1.098] [G acc: 0.129]\n",
      "1175 [D loss: (0.577)(R 0.599, F 0.554)] [D acc: (0.691)(0.605, 0.777)] [G loss: 1.054] [G acc: 0.152]\n",
      "1176 [D loss: (0.598)(R 0.603, F 0.594)] [D acc: (0.660)(0.578, 0.742)] [G loss: 1.190] [G acc: 0.094]\n",
      "1177 [D loss: (0.580)(R 0.573, F 0.587)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.139] [G acc: 0.145]\n",
      "1178 [D loss: (0.620)(R 0.598, F 0.642)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.057] [G acc: 0.145]\n",
      "1179 [D loss: (0.572)(R 0.494, F 0.650)] [D acc: (0.689)(0.680, 0.699)] [G loss: 1.170] [G acc: 0.148]\n",
      "1180 [D loss: (0.560)(R 0.548, F 0.571)] [D acc: (0.730)(0.684, 0.777)] [G loss: 1.137] [G acc: 0.117]\n",
      "1181 [D loss: (0.607)(R 0.559, F 0.655)] [D acc: (0.676)(0.652, 0.699)] [G loss: 1.187] [G acc: 0.098]\n",
      "1182 [D loss: (0.561)(R 0.593, F 0.530)] [D acc: (0.729)(0.641, 0.816)] [G loss: 1.286] [G acc: 0.070]\n",
      "1183 [D loss: (0.618)(R 0.617, F 0.619)] [D acc: (0.648)(0.590, 0.707)] [G loss: 1.105] [G acc: 0.133]\n",
      "1184 [D loss: (0.607)(R 0.561, F 0.652)] [D acc: (0.682)(0.664, 0.699)] [G loss: 1.219] [G acc: 0.059]\n",
      "1185 [D loss: (0.589)(R 0.634, F 0.545)] [D acc: (0.699)(0.594, 0.805)] [G loss: 1.114] [G acc: 0.125]\n",
      "1186 [D loss: (0.609)(R 0.595, F 0.623)] [D acc: (0.650)(0.594, 0.707)] [G loss: 1.120] [G acc: 0.125]\n",
      "1187 [D loss: (0.609)(R 0.644, F 0.574)] [D acc: (0.674)(0.547, 0.801)] [G loss: 1.128] [G acc: 0.098]\n",
      "1188 [D loss: (0.618)(R 0.600, F 0.635)] [D acc: (0.652)(0.602, 0.703)] [G loss: 1.097] [G acc: 0.121]\n",
      "1189 [D loss: (0.602)(R 0.601, F 0.603)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.034] [G acc: 0.160]\n",
      "1190 [D loss: (0.601)(R 0.637, F 0.565)] [D acc: (0.656)(0.547, 0.766)] [G loss: 1.106] [G acc: 0.156]\n",
      "1191 [D loss: (0.583)(R 0.630, F 0.536)] [D acc: (0.691)(0.582, 0.801)] [G loss: 1.093] [G acc: 0.102]\n",
      "1192 [D loss: (0.574)(R 0.563, F 0.584)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.117] [G acc: 0.121]\n",
      "1193 [D loss: (0.592)(R 0.565, F 0.620)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.375] [G acc: 0.055]\n",
      "1194 [D loss: (0.632)(R 0.710, F 0.553)] [D acc: (0.650)(0.523, 0.777)] [G loss: 1.112] [G acc: 0.086]\n",
      "1195 [D loss: (0.591)(R 0.557, F 0.625)] [D acc: (0.664)(0.637, 0.691)] [G loss: 1.045] [G acc: 0.152]\n",
      "1196 [D loss: (0.608)(R 0.569, F 0.647)] [D acc: (0.650)(0.637, 0.664)] [G loss: 1.067] [G acc: 0.172]\n",
      "1197 [D loss: (0.598)(R 0.570, F 0.626)] [D acc: (0.680)(0.641, 0.719)] [G loss: 1.085] [G acc: 0.188]\n",
      "1198 [D loss: (0.611)(R 0.589, F 0.633)] [D acc: (0.658)(0.633, 0.684)] [G loss: 1.204] [G acc: 0.109]\n",
      "1199 [D loss: (0.627)(R 0.682, F 0.573)] [D acc: (0.662)(0.523, 0.801)] [G loss: 1.068] [G acc: 0.145]\n",
      "1200 [D loss: (0.612)(R 0.541, F 0.683)] [D acc: (0.668)(0.668, 0.668)] [G loss: 1.118] [G acc: 0.113]\n",
      "1201 [D loss: (0.629)(R 0.630, F 0.628)] [D acc: (0.656)(0.578, 0.734)] [G loss: 1.153] [G acc: 0.102]\n",
      "1202 [D loss: (0.604)(R 0.653, F 0.555)] [D acc: (0.678)(0.539, 0.816)] [G loss: 1.091] [G acc: 0.102]\n",
      "1203 [D loss: (0.563)(R 0.563, F 0.564)] [D acc: (0.723)(0.637, 0.809)] [G loss: 1.116] [G acc: 0.172]\n",
      "1204 [D loss: (0.615)(R 0.627, F 0.603)] [D acc: (0.650)(0.551, 0.750)] [G loss: 1.073] [G acc: 0.105]\n",
      "1205 [D loss: (0.622)(R 0.585, F 0.658)] [D acc: (0.670)(0.637, 0.703)] [G loss: 1.090] [G acc: 0.152]\n",
      "1206 [D loss: (0.583)(R 0.573, F 0.593)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.083] [G acc: 0.105]\n",
      "1207 [D loss: (0.607)(R 0.608, F 0.607)] [D acc: (0.641)(0.570, 0.711)] [G loss: 1.104] [G acc: 0.152]\n",
      "1208 [D loss: (0.604)(R 0.601, F 0.607)] [D acc: (0.664)(0.602, 0.727)] [G loss: 1.152] [G acc: 0.078]\n",
      "1209 [D loss: (0.562)(R 0.544, F 0.580)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.113] [G acc: 0.133]\n",
      "1210 [D loss: (0.616)(R 0.619, F 0.613)] [D acc: (0.678)(0.598, 0.758)] [G loss: 1.078] [G acc: 0.102]\n",
      "1211 [D loss: (0.583)(R 0.554, F 0.612)] [D acc: (0.670)(0.648, 0.691)] [G loss: 1.135] [G acc: 0.109]\n",
      "1212 [D loss: (0.606)(R 0.627, F 0.586)] [D acc: (0.656)(0.574, 0.738)] [G loss: 1.093] [G acc: 0.145]\n",
      "1213 [D loss: (0.582)(R 0.577, F 0.588)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.136] [G acc: 0.125]\n",
      "1214 [D loss: (0.592)(R 0.613, F 0.571)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.149] [G acc: 0.086]\n",
      "1215 [D loss: (0.637)(R 0.606, F 0.668)] [D acc: (0.643)(0.605, 0.680)] [G loss: 1.117] [G acc: 0.129]\n",
      "1216 [D loss: (0.613)(R 0.624, F 0.601)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.144] [G acc: 0.102]\n",
      "1217 [D loss: (0.593)(R 0.599, F 0.586)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.082] [G acc: 0.113]\n",
      "1218 [D loss: (0.591)(R 0.602, F 0.580)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.100] [G acc: 0.152]\n",
      "1219 [D loss: (0.600)(R 0.583, F 0.617)] [D acc: (0.650)(0.598, 0.703)] [G loss: 1.171] [G acc: 0.141]\n",
      "1220 [D loss: (0.609)(R 0.621, F 0.597)] [D acc: (0.664)(0.617, 0.711)] [G loss: 1.139] [G acc: 0.137]\n",
      "1221 [D loss: (0.585)(R 0.608, F 0.563)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.124] [G acc: 0.121]\n",
      "1222 [D loss: (0.638)(R 0.672, F 0.604)] [D acc: (0.635)(0.559, 0.711)] [G loss: 1.093] [G acc: 0.137]\n",
      "1223 [D loss: (0.593)(R 0.640, F 0.547)] [D acc: (0.684)(0.547, 0.820)] [G loss: 1.095] [G acc: 0.113]\n",
      "1224 [D loss: (0.604)(R 0.624, F 0.584)] [D acc: (0.652)(0.547, 0.758)] [G loss: 1.149] [G acc: 0.156]\n",
      "1225 [D loss: (0.603)(R 0.673, F 0.532)] [D acc: (0.670)(0.535, 0.805)] [G loss: 1.098] [G acc: 0.129]\n",
      "1226 [D loss: (0.588)(R 0.503, F 0.674)] [D acc: (0.707)(0.715, 0.699)] [G loss: 1.141] [G acc: 0.152]\n",
      "1227 [D loss: (0.556)(R 0.559, F 0.553)] [D acc: (0.715)(0.637, 0.793)] [G loss: 1.153] [G acc: 0.105]\n",
      "1228 [D loss: (0.610)(R 0.623, F 0.598)] [D acc: (0.648)(0.547, 0.750)] [G loss: 1.061] [G acc: 0.148]\n",
      "1229 [D loss: (0.570)(R 0.536, F 0.604)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.142] [G acc: 0.109]\n",
      "1230 [D loss: (0.581)(R 0.556, F 0.606)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.195] [G acc: 0.117]\n",
      "1231 [D loss: (0.609)(R 0.583, F 0.634)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.132] [G acc: 0.184]\n",
      "1232 [D loss: (0.598)(R 0.566, F 0.630)] [D acc: (0.664)(0.652, 0.676)] [G loss: 1.114] [G acc: 0.117]\n",
      "1233 [D loss: (0.613)(R 0.638, F 0.588)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.136] [G acc: 0.148]\n",
      "1234 [D loss: (0.562)(R 0.579, F 0.545)] [D acc: (0.707)(0.625, 0.789)] [G loss: 1.192] [G acc: 0.086]\n",
      "1235 [D loss: (0.557)(R 0.551, F 0.562)] [D acc: (0.693)(0.641, 0.746)] [G loss: 1.175] [G acc: 0.109]\n",
      "1236 [D loss: (0.559)(R 0.540, F 0.578)] [D acc: (0.709)(0.664, 0.754)] [G loss: 1.185] [G acc: 0.113]\n",
      "1237 [D loss: (0.593)(R 0.590, F 0.595)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.179] [G acc: 0.105]\n",
      "1238 [D loss: (0.614)(R 0.637, F 0.590)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.110] [G acc: 0.113]\n",
      "1239 [D loss: (0.584)(R 0.596, F 0.573)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.200] [G acc: 0.117]\n",
      "1240 [D loss: (0.581)(R 0.605, F 0.558)] [D acc: (0.703)(0.617, 0.789)] [G loss: 1.142] [G acc: 0.113]\n",
      "1241 [D loss: (0.596)(R 0.541, F 0.651)] [D acc: (0.680)(0.641, 0.719)] [G loss: 1.145] [G acc: 0.102]\n",
      "1242 [D loss: (0.585)(R 0.599, F 0.571)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.122] [G acc: 0.141]\n",
      "1243 [D loss: (0.551)(R 0.509, F 0.593)] [D acc: (0.717)(0.691, 0.742)] [G loss: 1.125] [G acc: 0.148]\n",
      "1244 [D loss: (0.578)(R 0.572, F 0.583)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.193] [G acc: 0.117]\n",
      "1245 [D loss: (0.595)(R 0.566, F 0.623)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.145] [G acc: 0.109]\n",
      "1246 [D loss: (0.579)(R 0.593, F 0.565)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.263] [G acc: 0.098]\n",
      "1247 [D loss: (0.602)(R 0.660, F 0.544)] [D acc: (0.697)(0.582, 0.812)] [G loss: 1.134] [G acc: 0.160]\n",
      "1248 [D loss: (0.596)(R 0.538, F 0.655)] [D acc: (0.680)(0.664, 0.695)] [G loss: 1.153] [G acc: 0.145]\n",
      "1249 [D loss: (0.561)(R 0.554, F 0.568)] [D acc: (0.707)(0.656, 0.758)] [G loss: 1.126] [G acc: 0.137]\n",
      "1250 [D loss: (0.607)(R 0.564, F 0.649)] [D acc: (0.670)(0.648, 0.691)] [G loss: 1.111] [G acc: 0.152]\n",
      "1251 [D loss: (0.588)(R 0.569, F 0.607)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.140] [G acc: 0.145]\n",
      "1252 [D loss: (0.610)(R 0.599, F 0.620)] [D acc: (0.648)(0.613, 0.684)] [G loss: 1.115] [G acc: 0.121]\n",
      "1253 [D loss: (0.613)(R 0.616, F 0.609)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.090] [G acc: 0.109]\n",
      "1254 [D loss: (0.590)(R 0.621, F 0.560)] [D acc: (0.705)(0.613, 0.797)] [G loss: 1.195] [G acc: 0.133]\n",
      "1255 [D loss: (0.593)(R 0.603, F 0.584)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.173] [G acc: 0.070]\n",
      "1256 [D loss: (0.598)(R 0.614, F 0.583)] [D acc: (0.658)(0.602, 0.715)] [G loss: 1.124] [G acc: 0.121]\n",
      "1257 [D loss: (0.577)(R 0.554, F 0.601)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.155] [G acc: 0.102]\n",
      "1258 [D loss: (0.593)(R 0.607, F 0.578)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.087] [G acc: 0.152]\n",
      "1259 [D loss: (0.573)(R 0.551, F 0.595)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.291] [G acc: 0.117]\n",
      "1260 [D loss: (0.567)(R 0.633, F 0.501)] [D acc: (0.701)(0.562, 0.840)] [G loss: 1.219] [G acc: 0.062]\n",
      "1261 [D loss: (0.565)(R 0.534, F 0.596)] [D acc: (0.680)(0.656, 0.703)] [G loss: 1.125] [G acc: 0.113]\n",
      "1262 [D loss: (0.606)(R 0.570, F 0.642)] [D acc: (0.680)(0.641, 0.719)] [G loss: 1.101] [G acc: 0.121]\n",
      "1263 [D loss: (0.570)(R 0.543, F 0.597)] [D acc: (0.709)(0.660, 0.758)] [G loss: 1.139] [G acc: 0.164]\n",
      "1264 [D loss: (0.604)(R 0.589, F 0.619)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.140] [G acc: 0.129]\n",
      "1265 [D loss: (0.619)(R 0.621, F 0.616)] [D acc: (0.635)(0.559, 0.711)] [G loss: 1.109] [G acc: 0.141]\n",
      "1266 [D loss: (0.564)(R 0.584, F 0.544)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.216] [G acc: 0.148]\n",
      "1267 [D loss: (0.578)(R 0.592, F 0.564)] [D acc: (0.707)(0.613, 0.801)] [G loss: 1.203] [G acc: 0.094]\n",
      "1268 [D loss: (0.574)(R 0.568, F 0.579)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.103] [G acc: 0.180]\n",
      "1269 [D loss: (0.666)(R 0.539, F 0.794)] [D acc: (0.633)(0.656, 0.609)] [G loss: 1.201] [G acc: 0.133]\n",
      "1270 [D loss: (0.580)(R 0.653, F 0.507)] [D acc: (0.719)(0.590, 0.848)] [G loss: 1.128] [G acc: 0.137]\n",
      "1271 [D loss: (0.591)(R 0.599, F 0.583)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.117] [G acc: 0.117]\n",
      "1272 [D loss: (0.566)(R 0.558, F 0.573)] [D acc: (0.693)(0.645, 0.742)] [G loss: 1.168] [G acc: 0.125]\n",
      "1273 [D loss: (0.621)(R 0.599, F 0.642)] [D acc: (0.658)(0.590, 0.727)] [G loss: 1.120] [G acc: 0.164]\n",
      "1274 [D loss: (0.620)(R 0.639, F 0.602)] [D acc: (0.637)(0.562, 0.711)] [G loss: 1.123] [G acc: 0.148]\n",
      "1275 [D loss: (0.587)(R 0.602, F 0.571)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.130] [G acc: 0.098]\n",
      "1276 [D loss: (0.588)(R 0.584, F 0.592)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.147] [G acc: 0.145]\n",
      "1277 [D loss: (0.609)(R 0.600, F 0.619)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.074] [G acc: 0.152]\n",
      "1278 [D loss: (0.587)(R 0.607, F 0.566)] [D acc: (0.656)(0.594, 0.719)] [G loss: 1.194] [G acc: 0.109]\n",
      "1279 [D loss: (0.559)(R 0.625, F 0.493)] [D acc: (0.715)(0.555, 0.875)] [G loss: 1.163] [G acc: 0.090]\n",
      "1280 [D loss: (0.646)(R 0.631, F 0.660)] [D acc: (0.627)(0.551, 0.703)] [G loss: 1.118] [G acc: 0.105]\n",
      "1281 [D loss: (0.588)(R 0.561, F 0.615)] [D acc: (0.668)(0.629, 0.707)] [G loss: 1.092] [G acc: 0.113]\n",
      "1282 [D loss: (0.570)(R 0.570, F 0.569)] [D acc: (0.713)(0.645, 0.781)] [G loss: 1.113] [G acc: 0.133]\n",
      "1283 [D loss: (0.610)(R 0.590, F 0.630)] [D acc: (0.676)(0.648, 0.703)] [G loss: 1.181] [G acc: 0.125]\n",
      "1284 [D loss: (0.571)(R 0.635, F 0.508)] [D acc: (0.684)(0.547, 0.820)] [G loss: 1.237] [G acc: 0.070]\n",
      "1285 [D loss: (0.567)(R 0.496, F 0.638)] [D acc: (0.703)(0.711, 0.695)] [G loss: 1.124] [G acc: 0.145]\n",
      "1286 [D loss: (0.618)(R 0.574, F 0.661)] [D acc: (0.656)(0.625, 0.688)] [G loss: 1.170] [G acc: 0.129]\n",
      "1287 [D loss: (0.568)(R 0.581, F 0.554)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.183] [G acc: 0.105]\n",
      "1288 [D loss: (0.601)(R 0.603, F 0.599)] [D acc: (0.672)(0.602, 0.742)] [G loss: 1.037] [G acc: 0.180]\n",
      "1289 [D loss: (0.602)(R 0.596, F 0.607)] [D acc: (0.668)(0.605, 0.730)] [G loss: 1.102] [G acc: 0.121]\n",
      "1290 [D loss: (0.594)(R 0.590, F 0.598)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.104] [G acc: 0.141]\n",
      "1291 [D loss: (0.584)(R 0.620, F 0.547)] [D acc: (0.676)(0.574, 0.777)] [G loss: 1.126] [G acc: 0.121]\n",
      "1292 [D loss: (0.582)(R 0.565, F 0.599)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.084] [G acc: 0.176]\n",
      "1293 [D loss: (0.586)(R 0.588, F 0.584)] [D acc: (0.664)(0.590, 0.738)] [G loss: 1.067] [G acc: 0.168]\n",
      "1294 [D loss: (0.596)(R 0.565, F 0.626)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.103] [G acc: 0.141]\n",
      "1295 [D loss: (0.608)(R 0.602, F 0.615)] [D acc: (0.660)(0.621, 0.699)] [G loss: 1.098] [G acc: 0.141]\n",
      "1296 [D loss: (0.615)(R 0.592, F 0.638)] [D acc: (0.652)(0.637, 0.668)] [G loss: 1.185] [G acc: 0.125]\n",
      "1297 [D loss: (0.612)(R 0.666, F 0.558)] [D acc: (0.646)(0.531, 0.762)] [G loss: 1.120] [G acc: 0.105]\n",
      "1298 [D loss: (0.611)(R 0.560, F 0.662)] [D acc: (0.645)(0.625, 0.664)] [G loss: 1.036] [G acc: 0.133]\n",
      "1299 [D loss: (0.576)(R 0.556, F 0.597)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.066] [G acc: 0.141]\n",
      "1300 [D loss: (0.616)(R 0.596, F 0.636)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.105] [G acc: 0.121]\n",
      "1301 [D loss: (0.582)(R 0.592, F 0.572)] [D acc: (0.670)(0.594, 0.746)] [G loss: 1.140] [G acc: 0.109]\n",
      "1302 [D loss: (0.594)(R 0.614, F 0.573)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.113] [G acc: 0.152]\n",
      "1303 [D loss: (0.585)(R 0.593, F 0.577)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.148] [G acc: 0.125]\n",
      "1304 [D loss: (0.618)(R 0.557, F 0.679)] [D acc: (0.654)(0.637, 0.672)] [G loss: 1.182] [G acc: 0.148]\n",
      "1305 [D loss: (0.564)(R 0.598, F 0.531)] [D acc: (0.713)(0.613, 0.812)] [G loss: 1.257] [G acc: 0.078]\n",
      "1306 [D loss: (0.571)(R 0.557, F 0.585)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.235] [G acc: 0.105]\n",
      "1307 [D loss: (0.581)(R 0.581, F 0.581)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.071] [G acc: 0.195]\n",
      "1308 [D loss: (0.592)(R 0.562, F 0.622)] [D acc: (0.654)(0.605, 0.703)] [G loss: 1.204] [G acc: 0.141]\n",
      "1309 [D loss: (0.573)(R 0.562, F 0.583)] [D acc: (0.707)(0.672, 0.742)] [G loss: 1.172] [G acc: 0.129]\n",
      "1310 [D loss: (0.567)(R 0.552, F 0.583)] [D acc: (0.711)(0.664, 0.758)] [G loss: 1.149] [G acc: 0.172]\n",
      "1311 [D loss: (0.569)(R 0.581, F 0.556)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.232] [G acc: 0.090]\n",
      "1312 [D loss: (0.584)(R 0.506, F 0.663)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.222] [G acc: 0.105]\n",
      "1313 [D loss: (0.582)(R 0.602, F 0.563)] [D acc: (0.693)(0.598, 0.789)] [G loss: 1.144] [G acc: 0.109]\n",
      "1314 [D loss: (0.577)(R 0.590, F 0.563)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.255] [G acc: 0.117]\n",
      "1315 [D loss: (0.530)(R 0.542, F 0.519)] [D acc: (0.742)(0.660, 0.824)] [G loss: 1.242] [G acc: 0.113]\n",
      "1316 [D loss: (0.625)(R 0.586, F 0.664)] [D acc: (0.631)(0.586, 0.676)] [G loss: 1.174] [G acc: 0.105]\n",
      "1317 [D loss: (0.617)(R 0.644, F 0.590)] [D acc: (0.650)(0.574, 0.727)] [G loss: 1.141] [G acc: 0.105]\n",
      "1318 [D loss: (0.583)(R 0.604, F 0.562)] [D acc: (0.699)(0.613, 0.785)] [G loss: 1.170] [G acc: 0.145]\n",
      "1319 [D loss: (0.610)(R 0.594, F 0.627)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.082] [G acc: 0.145]\n",
      "1320 [D loss: (0.581)(R 0.577, F 0.585)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.124] [G acc: 0.145]\n",
      "1321 [D loss: (0.602)(R 0.586, F 0.618)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.161] [G acc: 0.098]\n",
      "1322 [D loss: (0.633)(R 0.659, F 0.608)] [D acc: (0.627)(0.535, 0.719)] [G loss: 1.172] [G acc: 0.133]\n",
      "1323 [D loss: (0.609)(R 0.639, F 0.578)] [D acc: (0.672)(0.562, 0.781)] [G loss: 1.092] [G acc: 0.145]\n",
      "1324 [D loss: (0.598)(R 0.608, F 0.589)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.098] [G acc: 0.141]\n",
      "1325 [D loss: (0.576)(R 0.574, F 0.578)] [D acc: (0.703)(0.641, 0.766)] [G loss: 1.119] [G acc: 0.141]\n",
      "1326 [D loss: (0.604)(R 0.588, F 0.620)] [D acc: (0.686)(0.656, 0.715)] [G loss: 1.086] [G acc: 0.121]\n",
      "1327 [D loss: (0.612)(R 0.615, F 0.609)] [D acc: (0.652)(0.605, 0.699)] [G loss: 1.114] [G acc: 0.156]\n",
      "1328 [D loss: (0.614)(R 0.576, F 0.652)] [D acc: (0.627)(0.594, 0.660)] [G loss: 1.121] [G acc: 0.129]\n",
      "1329 [D loss: (0.588)(R 0.600, F 0.576)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.172] [G acc: 0.148]\n",
      "1330 [D loss: (0.634)(R 0.683, F 0.585)] [D acc: (0.660)(0.562, 0.758)] [G loss: 1.106] [G acc: 0.133]\n",
      "1331 [D loss: (0.587)(R 0.578, F 0.595)] [D acc: (0.680)(0.625, 0.734)] [G loss: 1.144] [G acc: 0.109]\n",
      "1332 [D loss: (0.588)(R 0.559, F 0.617)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.098] [G acc: 0.137]\n",
      "1333 [D loss: (0.591)(R 0.616, F 0.567)] [D acc: (0.666)(0.582, 0.750)] [G loss: 1.168] [G acc: 0.117]\n",
      "1334 [D loss: (0.578)(R 0.604, F 0.553)] [D acc: (0.707)(0.621, 0.793)] [G loss: 1.124] [G acc: 0.113]\n",
      "1335 [D loss: (0.574)(R 0.551, F 0.598)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.093] [G acc: 0.141]\n",
      "1336 [D loss: (0.587)(R 0.614, F 0.561)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.149] [G acc: 0.086]\n",
      "1337 [D loss: (0.571)(R 0.566, F 0.576)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.429] [G acc: 0.066]\n",
      "1338 [D loss: (0.580)(R 0.626, F 0.534)] [D acc: (0.697)(0.566, 0.828)] [G loss: 1.233] [G acc: 0.066]\n",
      "1339 [D loss: (0.572)(R 0.589, F 0.556)] [D acc: (0.686)(0.555, 0.816)] [G loss: 1.160] [G acc: 0.086]\n",
      "1340 [D loss: (0.525)(R 0.518, F 0.533)] [D acc: (0.744)(0.684, 0.805)] [G loss: 1.186] [G acc: 0.121]\n",
      "1341 [D loss: (0.608)(R 0.540, F 0.675)] [D acc: (0.699)(0.668, 0.730)] [G loss: 1.131] [G acc: 0.098]\n",
      "1342 [D loss: (0.644)(R 0.612, F 0.677)] [D acc: (0.639)(0.574, 0.703)] [G loss: 1.095] [G acc: 0.133]\n",
      "1343 [D loss: (0.565)(R 0.559, F 0.570)] [D acc: (0.713)(0.648, 0.777)] [G loss: 1.101] [G acc: 0.145]\n",
      "1344 [D loss: (0.574)(R 0.546, F 0.602)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.192] [G acc: 0.129]\n",
      "1345 [D loss: (0.613)(R 0.594, F 0.632)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.146] [G acc: 0.102]\n",
      "1346 [D loss: (0.587)(R 0.589, F 0.586)] [D acc: (0.676)(0.625, 0.727)] [G loss: 1.197] [G acc: 0.105]\n",
      "1347 [D loss: (0.578)(R 0.591, F 0.566)] [D acc: (0.674)(0.598, 0.750)] [G loss: 1.248] [G acc: 0.117]\n",
      "1348 [D loss: (0.599)(R 0.637, F 0.561)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.119] [G acc: 0.152]\n",
      "1349 [D loss: (0.599)(R 0.634, F 0.565)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.103] [G acc: 0.152]\n",
      "1350 [D loss: (0.621)(R 0.585, F 0.656)] [D acc: (0.639)(0.609, 0.668)] [G loss: 1.151] [G acc: 0.125]\n",
      "1351 [D loss: (0.576)(R 0.595, F 0.556)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.155] [G acc: 0.121]\n",
      "1352 [D loss: (0.588)(R 0.611, F 0.564)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.113] [G acc: 0.156]\n",
      "1353 [D loss: (0.606)(R 0.561, F 0.651)] [D acc: (0.660)(0.621, 0.699)] [G loss: 1.137] [G acc: 0.105]\n",
      "1354 [D loss: (0.635)(R 0.641, F 0.629)] [D acc: (0.645)(0.555, 0.734)] [G loss: 1.089] [G acc: 0.152]\n",
      "1355 [D loss: (0.572)(R 0.589, F 0.556)] [D acc: (0.693)(0.586, 0.801)] [G loss: 1.154] [G acc: 0.117]\n",
      "1356 [D loss: (0.604)(R 0.615, F 0.593)] [D acc: (0.656)(0.559, 0.754)] [G loss: 1.134] [G acc: 0.109]\n",
      "1357 [D loss: (0.564)(R 0.566, F 0.563)] [D acc: (0.725)(0.660, 0.789)] [G loss: 1.173] [G acc: 0.098]\n",
      "1358 [D loss: (0.615)(R 0.574, F 0.655)] [D acc: (0.631)(0.609, 0.652)] [G loss: 1.123] [G acc: 0.160]\n",
      "1359 [D loss: (0.586)(R 0.620, F 0.551)] [D acc: (0.688)(0.582, 0.793)] [G loss: 1.129] [G acc: 0.117]\n",
      "1360 [D loss: (0.592)(R 0.515, F 0.670)] [D acc: (0.691)(0.676, 0.707)] [G loss: 1.161] [G acc: 0.141]\n",
      "1361 [D loss: (0.574)(R 0.590, F 0.558)] [D acc: (0.697)(0.617, 0.777)] [G loss: 1.172] [G acc: 0.121]\n",
      "1362 [D loss: (0.581)(R 0.582, F 0.580)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.207] [G acc: 0.117]\n",
      "1363 [D loss: (0.555)(R 0.529, F 0.582)] [D acc: (0.709)(0.676, 0.742)] [G loss: 1.207] [G acc: 0.102]\n",
      "1364 [D loss: (0.587)(R 0.553, F 0.620)] [D acc: (0.686)(0.648, 0.723)] [G loss: 1.272] [G acc: 0.078]\n",
      "1365 [D loss: (0.568)(R 0.603, F 0.533)] [D acc: (0.742)(0.645, 0.840)] [G loss: 1.245] [G acc: 0.098]\n",
      "1366 [D loss: (0.571)(R 0.523, F 0.618)] [D acc: (0.684)(0.660, 0.707)] [G loss: 1.094] [G acc: 0.184]\n",
      "1367 [D loss: (0.606)(R 0.593, F 0.618)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.171] [G acc: 0.105]\n",
      "1368 [D loss: (0.588)(R 0.588, F 0.588)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.093] [G acc: 0.148]\n",
      "1369 [D loss: (0.568)(R 0.593, F 0.542)] [D acc: (0.697)(0.602, 0.793)] [G loss: 1.147] [G acc: 0.164]\n",
      "1370 [D loss: (0.601)(R 0.551, F 0.651)] [D acc: (0.684)(0.660, 0.707)] [G loss: 1.109] [G acc: 0.117]\n",
      "1371 [D loss: (0.626)(R 0.646, F 0.607)] [D acc: (0.650)(0.566, 0.734)] [G loss: 1.192] [G acc: 0.109]\n",
      "1372 [D loss: (0.607)(R 0.649, F 0.566)] [D acc: (0.656)(0.562, 0.750)] [G loss: 1.127] [G acc: 0.078]\n",
      "1373 [D loss: (0.608)(R 0.625, F 0.590)] [D acc: (0.641)(0.551, 0.730)] [G loss: 1.090] [G acc: 0.156]\n",
      "1374 [D loss: (0.618)(R 0.580, F 0.656)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.050] [G acc: 0.141]\n",
      "1375 [D loss: (0.575)(R 0.565, F 0.586)] [D acc: (0.719)(0.668, 0.770)] [G loss: 1.116] [G acc: 0.152]\n",
      "1376 [D loss: (0.607)(R 0.613, F 0.601)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.123] [G acc: 0.098]\n",
      "1377 [D loss: (0.574)(R 0.584, F 0.564)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.132] [G acc: 0.168]\n",
      "1378 [D loss: (0.583)(R 0.588, F 0.578)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.084] [G acc: 0.164]\n",
      "1379 [D loss: (0.558)(R 0.543, F 0.573)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.109] [G acc: 0.164]\n",
      "1380 [D loss: (0.582)(R 0.572, F 0.593)] [D acc: (0.711)(0.641, 0.781)] [G loss: 1.135] [G acc: 0.098]\n",
      "1381 [D loss: (0.601)(R 0.605, F 0.597)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.149] [G acc: 0.117]\n",
      "1382 [D loss: (0.634)(R 0.628, F 0.640)] [D acc: (0.666)(0.574, 0.758)] [G loss: 1.123] [G acc: 0.090]\n",
      "1383 [D loss: (0.587)(R 0.605, F 0.568)] [D acc: (0.672)(0.605, 0.738)] [G loss: 1.092] [G acc: 0.160]\n",
      "1384 [D loss: (0.610)(R 0.611, F 0.609)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.103] [G acc: 0.137]\n",
      "1385 [D loss: (0.592)(R 0.593, F 0.590)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.148] [G acc: 0.137]\n",
      "1386 [D loss: (0.572)(R 0.618, F 0.526)] [D acc: (0.711)(0.582, 0.840)] [G loss: 1.253] [G acc: 0.055]\n",
      "1387 [D loss: (0.592)(R 0.537, F 0.647)] [D acc: (0.684)(0.648, 0.719)] [G loss: 1.178] [G acc: 0.117]\n",
      "1388 [D loss: (0.610)(R 0.582, F 0.639)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.151] [G acc: 0.133]\n",
      "1389 [D loss: (0.612)(R 0.653, F 0.571)] [D acc: (0.648)(0.547, 0.750)] [G loss: 1.144] [G acc: 0.145]\n",
      "1390 [D loss: (0.639)(R 0.659, F 0.620)] [D acc: (0.650)(0.562, 0.738)] [G loss: 1.151] [G acc: 0.117]\n",
      "1391 [D loss: (0.579)(R 0.580, F 0.578)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.152] [G acc: 0.066]\n",
      "1392 [D loss: (0.578)(R 0.592, F 0.564)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.145] [G acc: 0.137]\n",
      "1393 [D loss: (0.597)(R 0.652, F 0.543)] [D acc: (0.668)(0.559, 0.777)] [G loss: 1.135] [G acc: 0.141]\n",
      "1394 [D loss: (0.610)(R 0.589, F 0.631)] [D acc: (0.646)(0.590, 0.703)] [G loss: 1.156] [G acc: 0.156]\n",
      "1395 [D loss: (0.571)(R 0.601, F 0.541)] [D acc: (0.697)(0.594, 0.801)] [G loss: 1.157] [G acc: 0.137]\n",
      "1396 [D loss: (0.552)(R 0.496, F 0.609)] [D acc: (0.725)(0.691, 0.758)] [G loss: 1.109] [G acc: 0.160]\n",
      "1397 [D loss: (0.607)(R 0.527, F 0.688)] [D acc: (0.656)(0.691, 0.621)] [G loss: 1.096] [G acc: 0.141]\n",
      "1398 [D loss: (0.600)(R 0.585, F 0.614)] [D acc: (0.672)(0.633, 0.711)] [G loss: 1.146] [G acc: 0.145]\n",
      "1399 [D loss: (0.609)(R 0.648, F 0.570)] [D acc: (0.643)(0.551, 0.734)] [G loss: 1.098] [G acc: 0.141]\n",
      "1400 [D loss: (0.612)(R 0.592, F 0.632)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.110] [G acc: 0.102]\n",
      "1401 [D loss: (0.603)(R 0.645, F 0.561)] [D acc: (0.656)(0.547, 0.766)] [G loss: 1.116] [G acc: 0.125]\n",
      "1402 [D loss: (0.577)(R 0.589, F 0.565)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.146] [G acc: 0.105]\n",
      "1403 [D loss: (0.586)(R 0.603, F 0.568)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.056] [G acc: 0.160]\n",
      "1404 [D loss: (0.602)(R 0.605, F 0.599)] [D acc: (0.646)(0.551, 0.742)] [G loss: 1.129] [G acc: 0.098]\n",
      "1405 [D loss: (0.600)(R 0.619, F 0.580)] [D acc: (0.682)(0.586, 0.777)] [G loss: 1.065] [G acc: 0.227]\n",
      "1406 [D loss: (0.613)(R 0.553, F 0.674)] [D acc: (0.662)(0.637, 0.688)] [G loss: 1.060] [G acc: 0.148]\n",
      "1407 [D loss: (0.611)(R 0.607, F 0.614)] [D acc: (0.639)(0.551, 0.727)] [G loss: 1.097] [G acc: 0.109]\n",
      "1408 [D loss: (0.610)(R 0.631, F 0.589)] [D acc: (0.648)(0.574, 0.723)] [G loss: 1.166] [G acc: 0.102]\n",
      "1409 [D loss: (0.584)(R 0.634, F 0.533)] [D acc: (0.711)(0.598, 0.824)] [G loss: 1.120] [G acc: 0.102]\n",
      "1410 [D loss: (0.598)(R 0.617, F 0.578)] [D acc: (0.678)(0.574, 0.781)] [G loss: 1.097] [G acc: 0.148]\n",
      "1411 [D loss: (0.547)(R 0.530, F 0.564)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.152] [G acc: 0.168]\n",
      "1412 [D loss: (0.563)(R 0.591, F 0.535)] [D acc: (0.721)(0.645, 0.797)] [G loss: 1.177] [G acc: 0.109]\n",
      "1413 [D loss: (0.638)(R 0.569, F 0.706)] [D acc: (0.646)(0.617, 0.676)] [G loss: 1.210] [G acc: 0.117]\n",
      "1414 [D loss: (0.598)(R 0.663, F 0.533)] [D acc: (0.672)(0.555, 0.789)] [G loss: 1.219] [G acc: 0.066]\n",
      "1415 [D loss: (0.604)(R 0.587, F 0.620)] [D acc: (0.684)(0.656, 0.711)] [G loss: 1.056] [G acc: 0.180]\n",
      "1416 [D loss: (0.577)(R 0.555, F 0.599)] [D acc: (0.701)(0.668, 0.734)] [G loss: 1.105] [G acc: 0.176]\n",
      "1417 [D loss: (0.598)(R 0.555, F 0.642)] [D acc: (0.652)(0.609, 0.695)] [G loss: 1.061] [G acc: 0.141]\n",
      "1418 [D loss: (0.602)(R 0.609, F 0.595)] [D acc: (0.631)(0.621, 0.641)] [G loss: 1.104] [G acc: 0.145]\n",
      "1419 [D loss: (0.590)(R 0.559, F 0.621)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.113] [G acc: 0.121]\n",
      "1420 [D loss: (0.600)(R 0.602, F 0.598)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.127] [G acc: 0.113]\n",
      "1421 [D loss: (0.589)(R 0.579, F 0.598)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.114] [G acc: 0.125]\n",
      "1422 [D loss: (0.580)(R 0.593, F 0.568)] [D acc: (0.695)(0.617, 0.773)] [G loss: 1.077] [G acc: 0.145]\n",
      "1423 [D loss: (0.619)(R 0.573, F 0.664)] [D acc: (0.652)(0.621, 0.684)] [G loss: 1.096] [G acc: 0.137]\n",
      "1424 [D loss: (0.593)(R 0.595, F 0.592)] [D acc: (0.686)(0.633, 0.738)] [G loss: 1.070] [G acc: 0.152]\n",
      "1425 [D loss: (0.598)(R 0.639, F 0.557)] [D acc: (0.693)(0.582, 0.805)] [G loss: 1.126] [G acc: 0.125]\n",
      "1426 [D loss: (0.576)(R 0.579, F 0.572)] [D acc: (0.699)(0.613, 0.785)] [G loss: 1.168] [G acc: 0.121]\n",
      "1427 [D loss: (0.654)(R 0.652, F 0.657)] [D acc: (0.654)(0.609, 0.699)] [G loss: 1.152] [G acc: 0.129]\n",
      "1428 [D loss: (0.581)(R 0.590, F 0.572)] [D acc: (0.707)(0.637, 0.777)] [G loss: 1.149] [G acc: 0.094]\n",
      "1429 [D loss: (0.575)(R 0.579, F 0.571)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.161] [G acc: 0.121]\n",
      "1430 [D loss: (0.568)(R 0.607, F 0.529)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.185] [G acc: 0.082]\n",
      "1431 [D loss: (0.654)(R 0.653, F 0.655)] [D acc: (0.609)(0.531, 0.688)] [G loss: 1.043] [G acc: 0.172]\n",
      "1432 [D loss: (0.575)(R 0.560, F 0.590)] [D acc: (0.703)(0.695, 0.711)] [G loss: 1.139] [G acc: 0.145]\n",
      "1433 [D loss: (0.580)(R 0.600, F 0.560)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.114] [G acc: 0.168]\n",
      "1434 [D loss: (0.598)(R 0.551, F 0.646)] [D acc: (0.668)(0.645, 0.691)] [G loss: 1.284] [G acc: 0.102]\n",
      "1435 [D loss: (0.562)(R 0.613, F 0.511)] [D acc: (0.713)(0.621, 0.805)] [G loss: 1.157] [G acc: 0.109]\n",
      "1436 [D loss: (0.601)(R 0.592, F 0.609)] [D acc: (0.686)(0.648, 0.723)] [G loss: 1.138] [G acc: 0.156]\n",
      "1437 [D loss: (0.588)(R 0.583, F 0.594)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.114] [G acc: 0.121]\n",
      "1438 [D loss: (0.575)(R 0.559, F 0.591)] [D acc: (0.699)(0.660, 0.738)] [G loss: 1.106] [G acc: 0.164]\n",
      "1439 [D loss: (0.632)(R 0.609, F 0.654)] [D acc: (0.625)(0.574, 0.676)] [G loss: 1.107] [G acc: 0.117]\n",
      "1440 [D loss: (0.621)(R 0.633, F 0.609)] [D acc: (0.637)(0.566, 0.707)] [G loss: 1.105] [G acc: 0.117]\n",
      "1441 [D loss: (0.584)(R 0.592, F 0.577)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.116] [G acc: 0.133]\n",
      "1442 [D loss: (0.594)(R 0.564, F 0.623)] [D acc: (0.689)(0.652, 0.727)] [G loss: 1.091] [G acc: 0.098]\n",
      "1443 [D loss: (0.572)(R 0.592, F 0.552)] [D acc: (0.723)(0.652, 0.793)] [G loss: 1.064] [G acc: 0.172]\n",
      "1444 [D loss: (0.598)(R 0.553, F 0.643)] [D acc: (0.676)(0.648, 0.703)] [G loss: 1.105] [G acc: 0.191]\n",
      "1445 [D loss: (0.604)(R 0.571, F 0.637)] [D acc: (0.662)(0.641, 0.684)] [G loss: 1.137] [G acc: 0.137]\n",
      "1446 [D loss: (0.573)(R 0.587, F 0.558)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.104] [G acc: 0.160]\n",
      "1447 [D loss: (0.579)(R 0.530, F 0.629)] [D acc: (0.674)(0.680, 0.668)] [G loss: 1.217] [G acc: 0.098]\n",
      "1448 [D loss: (0.540)(R 0.565, F 0.515)] [D acc: (0.742)(0.668, 0.816)] [G loss: 1.227] [G acc: 0.102]\n",
      "1449 [D loss: (0.559)(R 0.563, F 0.555)] [D acc: (0.695)(0.633, 0.758)] [G loss: 1.112] [G acc: 0.199]\n",
      "1450 [D loss: (0.645)(R 0.556, F 0.733)] [D acc: (0.648)(0.641, 0.656)] [G loss: 1.142] [G acc: 0.125]\n",
      "1451 [D loss: (0.576)(R 0.555, F 0.597)] [D acc: (0.670)(0.629, 0.711)] [G loss: 1.091] [G acc: 0.152]\n",
      "1452 [D loss: (0.570)(R 0.589, F 0.551)] [D acc: (0.688)(0.598, 0.777)] [G loss: 1.156] [G acc: 0.129]\n",
      "1453 [D loss: (0.561)(R 0.542, F 0.580)] [D acc: (0.697)(0.664, 0.730)] [G loss: 1.181] [G acc: 0.129]\n",
      "1454 [D loss: (0.570)(R 0.551, F 0.588)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.159] [G acc: 0.129]\n",
      "1455 [D loss: (0.544)(R 0.571, F 0.517)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.193] [G acc: 0.113]\n",
      "1456 [D loss: (0.593)(R 0.513, F 0.674)] [D acc: (0.686)(0.688, 0.684)] [G loss: 1.205] [G acc: 0.121]\n",
      "1457 [D loss: (0.574)(R 0.624, F 0.523)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.216] [G acc: 0.109]\n",
      "1458 [D loss: (0.565)(R 0.590, F 0.540)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.168] [G acc: 0.164]\n",
      "1459 [D loss: (0.582)(R 0.532, F 0.633)] [D acc: (0.674)(0.672, 0.676)] [G loss: 1.142] [G acc: 0.145]\n",
      "1460 [D loss: (0.610)(R 0.568, F 0.652)] [D acc: (0.643)(0.625, 0.660)] [G loss: 1.160] [G acc: 0.121]\n",
      "1461 [D loss: (0.615)(R 0.637, F 0.594)] [D acc: (0.660)(0.574, 0.746)] [G loss: 1.118] [G acc: 0.137]\n",
      "1462 [D loss: (0.590)(R 0.526, F 0.653)] [D acc: (0.678)(0.668, 0.688)] [G loss: 1.199] [G acc: 0.098]\n",
      "1463 [D loss: (0.596)(R 0.613, F 0.580)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.276] [G acc: 0.070]\n",
      "1464 [D loss: (0.591)(R 0.662, F 0.520)] [D acc: (0.686)(0.555, 0.816)] [G loss: 1.222] [G acc: 0.090]\n",
      "1465 [D loss: (0.580)(R 0.610, F 0.550)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.171] [G acc: 0.137]\n",
      "1466 [D loss: (0.597)(R 0.576, F 0.619)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.149] [G acc: 0.109]\n",
      "1467 [D loss: (0.605)(R 0.622, F 0.588)] [D acc: (0.654)(0.566, 0.742)] [G loss: 1.209] [G acc: 0.109]\n",
      "1468 [D loss: (0.641)(R 0.663, F 0.619)] [D acc: (0.637)(0.574, 0.699)] [G loss: 1.122] [G acc: 0.133]\n",
      "1469 [D loss: (0.611)(R 0.647, F 0.575)] [D acc: (0.668)(0.559, 0.777)] [G loss: 1.082] [G acc: 0.121]\n",
      "1470 [D loss: (0.605)(R 0.573, F 0.636)] [D acc: (0.674)(0.652, 0.695)] [G loss: 1.151] [G acc: 0.109]\n",
      "1471 [D loss: (0.586)(R 0.603, F 0.569)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.118] [G acc: 0.129]\n",
      "1472 [D loss: (0.571)(R 0.564, F 0.578)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.170] [G acc: 0.113]\n",
      "1473 [D loss: (0.620)(R 0.621, F 0.619)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.125] [G acc: 0.137]\n",
      "1474 [D loss: (0.612)(R 0.613, F 0.610)] [D acc: (0.664)(0.590, 0.738)] [G loss: 1.099] [G acc: 0.137]\n",
      "1475 [D loss: (0.556)(R 0.566, F 0.546)] [D acc: (0.713)(0.621, 0.805)] [G loss: 1.121] [G acc: 0.133]\n",
      "1476 [D loss: (0.577)(R 0.516, F 0.639)] [D acc: (0.682)(0.656, 0.707)] [G loss: 1.125] [G acc: 0.145]\n",
      "1477 [D loss: (0.587)(R 0.590, F 0.584)] [D acc: (0.688)(0.625, 0.750)] [G loss: 1.210] [G acc: 0.094]\n",
      "1478 [D loss: (0.610)(R 0.610, F 0.610)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.128] [G acc: 0.125]\n",
      "1479 [D loss: (0.602)(R 0.611, F 0.593)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.091] [G acc: 0.160]\n",
      "1480 [D loss: (0.584)(R 0.558, F 0.610)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.113] [G acc: 0.102]\n",
      "1481 [D loss: (0.613)(R 0.614, F 0.613)] [D acc: (0.641)(0.582, 0.699)] [G loss: 1.114] [G acc: 0.090]\n",
      "1482 [D loss: (0.585)(R 0.600, F 0.569)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.187] [G acc: 0.121]\n",
      "1483 [D loss: (0.556)(R 0.639, F 0.474)] [D acc: (0.719)(0.551, 0.887)] [G loss: 1.284] [G acc: 0.074]\n",
      "1484 [D loss: (0.663)(R 0.596, F 0.729)] [D acc: (0.615)(0.594, 0.637)] [G loss: 1.122] [G acc: 0.145]\n",
      "1485 [D loss: (0.614)(R 0.625, F 0.604)] [D acc: (0.668)(0.598, 0.738)] [G loss: 1.066] [G acc: 0.160]\n",
      "1486 [D loss: (0.594)(R 0.590, F 0.599)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.045] [G acc: 0.164]\n",
      "1487 [D loss: (0.587)(R 0.622, F 0.552)] [D acc: (0.693)(0.605, 0.781)] [G loss: 1.126] [G acc: 0.125]\n",
      "1488 [D loss: (0.634)(R 0.612, F 0.657)] [D acc: (0.645)(0.570, 0.719)] [G loss: 1.100] [G acc: 0.164]\n",
      "1489 [D loss: (0.585)(R 0.589, F 0.580)] [D acc: (0.707)(0.637, 0.777)] [G loss: 1.185] [G acc: 0.098]\n",
      "1490 [D loss: (0.620)(R 0.605, F 0.635)] [D acc: (0.652)(0.621, 0.684)] [G loss: 1.103] [G acc: 0.145]\n",
      "1491 [D loss: (0.599)(R 0.621, F 0.577)] [D acc: (0.674)(0.578, 0.770)] [G loss: 1.098] [G acc: 0.121]\n",
      "1492 [D loss: (0.588)(R 0.575, F 0.601)] [D acc: (0.662)(0.637, 0.688)] [G loss: 1.136] [G acc: 0.129]\n",
      "1493 [D loss: (0.608)(R 0.600, F 0.616)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.115] [G acc: 0.133]\n",
      "1494 [D loss: (0.586)(R 0.594, F 0.578)] [D acc: (0.664)(0.617, 0.711)] [G loss: 1.076] [G acc: 0.148]\n",
      "1495 [D loss: (0.601)(R 0.625, F 0.577)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.119] [G acc: 0.098]\n",
      "1496 [D loss: (0.567)(R 0.570, F 0.564)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.129] [G acc: 0.156]\n",
      "1497 [D loss: (0.566)(R 0.585, F 0.548)] [D acc: (0.713)(0.660, 0.766)] [G loss: 1.152] [G acc: 0.117]\n",
      "1498 [D loss: (0.564)(R 0.573, F 0.556)] [D acc: (0.701)(0.629, 0.773)] [G loss: 1.239] [G acc: 0.098]\n",
      "1499 [D loss: (0.562)(R 0.585, F 0.539)] [D acc: (0.705)(0.609, 0.801)] [G loss: 1.234] [G acc: 0.094]\n",
      "1500 [D loss: (0.598)(R 0.578, F 0.618)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.122] [G acc: 0.145]\n",
      "1501 [D loss: (0.590)(R 0.590, F 0.591)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.094] [G acc: 0.152]\n",
      "1502 [D loss: (0.636)(R 0.627, F 0.644)] [D acc: (0.633)(0.543, 0.723)] [G loss: 1.141] [G acc: 0.117]\n",
      "1503 [D loss: (0.580)(R 0.623, F 0.537)] [D acc: (0.709)(0.605, 0.812)] [G loss: 1.105] [G acc: 0.125]\n",
      "1504 [D loss: (0.553)(R 0.569, F 0.538)] [D acc: (0.719)(0.645, 0.793)] [G loss: 1.119] [G acc: 0.168]\n",
      "1505 [D loss: (0.605)(R 0.556, F 0.653)] [D acc: (0.674)(0.672, 0.676)] [G loss: 1.195] [G acc: 0.105]\n",
      "1506 [D loss: (0.614)(R 0.592, F 0.635)] [D acc: (0.666)(0.625, 0.707)] [G loss: 1.109] [G acc: 0.148]\n",
      "1507 [D loss: (0.581)(R 0.582, F 0.580)] [D acc: (0.707)(0.684, 0.730)] [G loss: 1.379] [G acc: 0.074]\n",
      "1508 [D loss: (0.601)(R 0.660, F 0.541)] [D acc: (0.699)(0.562, 0.836)] [G loss: 1.206] [G acc: 0.094]\n",
      "1509 [D loss: (0.558)(R 0.547, F 0.570)] [D acc: (0.689)(0.641, 0.738)] [G loss: 1.137] [G acc: 0.117]\n",
      "1510 [D loss: (0.638)(R 0.623, F 0.653)] [D acc: (0.621)(0.566, 0.676)] [G loss: 1.170] [G acc: 0.117]\n",
      "1511 [D loss: (0.596)(R 0.617, F 0.574)] [D acc: (0.689)(0.590, 0.789)] [G loss: 1.118] [G acc: 0.148]\n",
      "1512 [D loss: (0.571)(R 0.608, F 0.534)] [D acc: (0.719)(0.621, 0.816)] [G loss: 1.210] [G acc: 0.098]\n",
      "1513 [D loss: (0.677)(R 0.677, F 0.676)] [D acc: (0.631)(0.559, 0.703)] [G loss: 1.087] [G acc: 0.141]\n",
      "1514 [D loss: (0.593)(R 0.603, F 0.582)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.092] [G acc: 0.160]\n",
      "1515 [D loss: (0.582)(R 0.541, F 0.623)] [D acc: (0.699)(0.684, 0.715)] [G loss: 1.154] [G acc: 0.125]\n",
      "1516 [D loss: (0.589)(R 0.624, F 0.553)] [D acc: (0.666)(0.539, 0.793)] [G loss: 1.125] [G acc: 0.125]\n",
      "1517 [D loss: (0.596)(R 0.590, F 0.602)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.090] [G acc: 0.172]\n",
      "1518 [D loss: (0.592)(R 0.606, F 0.578)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.122] [G acc: 0.125]\n",
      "1519 [D loss: (0.572)(R 0.600, F 0.545)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.231] [G acc: 0.109]\n",
      "1520 [D loss: (0.613)(R 0.614, F 0.612)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.190] [G acc: 0.090]\n",
      "1521 [D loss: (0.589)(R 0.598, F 0.580)] [D acc: (0.656)(0.605, 0.707)] [G loss: 1.150] [G acc: 0.113]\n",
      "1522 [D loss: (0.565)(R 0.558, F 0.572)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.164] [G acc: 0.117]\n",
      "1523 [D loss: (0.570)(R 0.580, F 0.560)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.118] [G acc: 0.168]\n",
      "1524 [D loss: (0.601)(R 0.540, F 0.661)] [D acc: (0.695)(0.684, 0.707)] [G loss: 1.143] [G acc: 0.117]\n",
      "1525 [D loss: (0.571)(R 0.599, F 0.543)] [D acc: (0.688)(0.582, 0.793)] [G loss: 1.152] [G acc: 0.094]\n",
      "1526 [D loss: (0.568)(R 0.571, F 0.565)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.116] [G acc: 0.199]\n",
      "1527 [D loss: (0.615)(R 0.605, F 0.625)] [D acc: (0.660)(0.617, 0.703)] [G loss: 1.116] [G acc: 0.148]\n",
      "1528 [D loss: (0.587)(R 0.561, F 0.613)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.151] [G acc: 0.129]\n",
      "1529 [D loss: (0.580)(R 0.570, F 0.591)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.140] [G acc: 0.086]\n",
      "1530 [D loss: (0.590)(R 0.559, F 0.621)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.107] [G acc: 0.172]\n",
      "1531 [D loss: (0.559)(R 0.545, F 0.573)] [D acc: (0.727)(0.664, 0.789)] [G loss: 1.144] [G acc: 0.156]\n",
      "1532 [D loss: (0.576)(R 0.556, F 0.596)] [D acc: (0.664)(0.617, 0.711)] [G loss: 1.126] [G acc: 0.141]\n",
      "1533 [D loss: (0.635)(R 0.603, F 0.667)] [D acc: (0.650)(0.594, 0.707)] [G loss: 1.145] [G acc: 0.133]\n",
      "1534 [D loss: (0.550)(R 0.543, F 0.558)] [D acc: (0.742)(0.695, 0.789)] [G loss: 1.101] [G acc: 0.152]\n",
      "1535 [D loss: (0.592)(R 0.586, F 0.599)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.178] [G acc: 0.152]\n",
      "1536 [D loss: (0.575)(R 0.558, F 0.593)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.203] [G acc: 0.105]\n",
      "1537 [D loss: (0.596)(R 0.617, F 0.575)] [D acc: (0.658)(0.566, 0.750)] [G loss: 1.151] [G acc: 0.125]\n",
      "1538 [D loss: (0.567)(R 0.610, F 0.524)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.209] [G acc: 0.117]\n",
      "1539 [D loss: (0.599)(R 0.603, F 0.595)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.318] [G acc: 0.141]\n",
      "1540 [D loss: (0.576)(R 0.618, F 0.533)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.227] [G acc: 0.082]\n",
      "1541 [D loss: (0.600)(R 0.619, F 0.581)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.138] [G acc: 0.152]\n",
      "1542 [D loss: (0.587)(R 0.614, F 0.560)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.116] [G acc: 0.168]\n",
      "1543 [D loss: (0.560)(R 0.537, F 0.583)] [D acc: (0.717)(0.668, 0.766)] [G loss: 1.135] [G acc: 0.160]\n",
      "1544 [D loss: (0.584)(R 0.578, F 0.589)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.096] [G acc: 0.121]\n",
      "1545 [D loss: (0.589)(R 0.564, F 0.614)] [D acc: (0.660)(0.625, 0.695)] [G loss: 1.177] [G acc: 0.141]\n",
      "1546 [D loss: (0.599)(R 0.617, F 0.581)] [D acc: (0.707)(0.602, 0.812)] [G loss: 1.177] [G acc: 0.105]\n",
      "1547 [D loss: (0.563)(R 0.540, F 0.586)] [D acc: (0.709)(0.676, 0.742)] [G loss: 1.216] [G acc: 0.109]\n",
      "1548 [D loss: (0.544)(R 0.537, F 0.551)] [D acc: (0.736)(0.680, 0.793)] [G loss: 1.228] [G acc: 0.109]\n",
      "1549 [D loss: (0.607)(R 0.562, F 0.653)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.101] [G acc: 0.184]\n",
      "1550 [D loss: (0.613)(R 0.629, F 0.598)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.133] [G acc: 0.152]\n",
      "1551 [D loss: (0.617)(R 0.598, F 0.636)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.105] [G acc: 0.133]\n",
      "1552 [D loss: (0.588)(R 0.594, F 0.581)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.132] [G acc: 0.113]\n",
      "1553 [D loss: (0.605)(R 0.606, F 0.605)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.153] [G acc: 0.141]\n",
      "1554 [D loss: (0.649)(R 0.600, F 0.699)] [D acc: (0.660)(0.633, 0.688)] [G loss: 1.139] [G acc: 0.094]\n",
      "1555 [D loss: (0.600)(R 0.637, F 0.564)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.088] [G acc: 0.148]\n",
      "1556 [D loss: (0.598)(R 0.627, F 0.569)] [D acc: (0.678)(0.598, 0.758)] [G loss: 1.067] [G acc: 0.129]\n",
      "1557 [D loss: (0.577)(R 0.587, F 0.567)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.123] [G acc: 0.121]\n",
      "1558 [D loss: (0.581)(R 0.570, F 0.592)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.175] [G acc: 0.113]\n",
      "1559 [D loss: (0.598)(R 0.598, F 0.598)] [D acc: (0.682)(0.621, 0.742)] [G loss: 1.159] [G acc: 0.082]\n",
      "1560 [D loss: (0.574)(R 0.572, F 0.576)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.092] [G acc: 0.137]\n",
      "1561 [D loss: (0.590)(R 0.544, F 0.635)] [D acc: (0.697)(0.660, 0.734)] [G loss: 1.125] [G acc: 0.129]\n",
      "1562 [D loss: (0.619)(R 0.608, F 0.629)] [D acc: (0.643)(0.598, 0.688)] [G loss: 1.133] [G acc: 0.086]\n",
      "1563 [D loss: (0.616)(R 0.693, F 0.539)] [D acc: (0.670)(0.531, 0.809)] [G loss: 1.178] [G acc: 0.117]\n",
      "1564 [D loss: (0.615)(R 0.556, F 0.674)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.211] [G acc: 0.094]\n",
      "1565 [D loss: (0.531)(R 0.513, F 0.549)] [D acc: (0.748)(0.719, 0.777)] [G loss: 1.179] [G acc: 0.102]\n",
      "1566 [D loss: (0.564)(R 0.587, F 0.541)] [D acc: (0.709)(0.637, 0.781)] [G loss: 1.227] [G acc: 0.160]\n",
      "1567 [D loss: (0.629)(R 0.558, F 0.700)] [D acc: (0.643)(0.637, 0.648)] [G loss: 1.105] [G acc: 0.195]\n",
      "1568 [D loss: (0.546)(R 0.571, F 0.521)] [D acc: (0.738)(0.664, 0.812)] [G loss: 1.223] [G acc: 0.102]\n",
      "1569 [D loss: (0.592)(R 0.589, F 0.595)] [D acc: (0.654)(0.602, 0.707)] [G loss: 1.380] [G acc: 0.094]\n",
      "1570 [D loss: (0.562)(R 0.597, F 0.526)] [D acc: (0.711)(0.594, 0.828)] [G loss: 1.259] [G acc: 0.082]\n",
      "1571 [D loss: (0.602)(R 0.603, F 0.601)] [D acc: (0.670)(0.578, 0.762)] [G loss: 1.161] [G acc: 0.090]\n",
      "1572 [D loss: (0.582)(R 0.593, F 0.570)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.224] [G acc: 0.121]\n",
      "1573 [D loss: (0.598)(R 0.638, F 0.559)] [D acc: (0.678)(0.594, 0.762)] [G loss: 1.103] [G acc: 0.188]\n",
      "1574 [D loss: (0.585)(R 0.553, F 0.618)] [D acc: (0.668)(0.645, 0.691)] [G loss: 1.116] [G acc: 0.152]\n",
      "1575 [D loss: (0.607)(R 0.587, F 0.627)] [D acc: (0.672)(0.652, 0.691)] [G loss: 1.150] [G acc: 0.121]\n",
      "1576 [D loss: (0.570)(R 0.532, F 0.609)] [D acc: (0.705)(0.668, 0.742)] [G loss: 1.203] [G acc: 0.121]\n",
      "1577 [D loss: (0.582)(R 0.614, F 0.550)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.151] [G acc: 0.156]\n",
      "1578 [D loss: (0.591)(R 0.576, F 0.607)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.174] [G acc: 0.125]\n",
      "1579 [D loss: (0.570)(R 0.591, F 0.549)] [D acc: (0.680)(0.590, 0.770)] [G loss: 1.233] [G acc: 0.141]\n",
      "1580 [D loss: (0.580)(R 0.612, F 0.547)] [D acc: (0.701)(0.605, 0.797)] [G loss: 1.138] [G acc: 0.094]\n",
      "1581 [D loss: (0.621)(R 0.606, F 0.635)] [D acc: (0.658)(0.594, 0.723)] [G loss: 1.103] [G acc: 0.141]\n",
      "1582 [D loss: (0.588)(R 0.612, F 0.565)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.116] [G acc: 0.172]\n",
      "1583 [D loss: (0.580)(R 0.546, F 0.615)] [D acc: (0.707)(0.688, 0.727)] [G loss: 1.139] [G acc: 0.148]\n",
      "1584 [D loss: (0.600)(R 0.557, F 0.642)] [D acc: (0.660)(0.648, 0.672)] [G loss: 1.124] [G acc: 0.156]\n",
      "1585 [D loss: (0.608)(R 0.584, F 0.632)] [D acc: (0.682)(0.648, 0.715)] [G loss: 1.157] [G acc: 0.094]\n",
      "1586 [D loss: (0.576)(R 0.592, F 0.560)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.235] [G acc: 0.074]\n",
      "1587 [D loss: (0.596)(R 0.621, F 0.571)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.214] [G acc: 0.102]\n",
      "1588 [D loss: (0.617)(R 0.605, F 0.629)] [D acc: (0.633)(0.562, 0.703)] [G loss: 1.152] [G acc: 0.141]\n",
      "1589 [D loss: (0.613)(R 0.648, F 0.578)] [D acc: (0.670)(0.570, 0.770)] [G loss: 1.158] [G acc: 0.145]\n",
      "1590 [D loss: (0.610)(R 0.610, F 0.609)] [D acc: (0.648)(0.578, 0.719)] [G loss: 1.131] [G acc: 0.086]\n",
      "1591 [D loss: (0.636)(R 0.655, F 0.617)] [D acc: (0.627)(0.543, 0.711)] [G loss: 1.092] [G acc: 0.152]\n",
      "1592 [D loss: (0.607)(R 0.641, F 0.573)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.156] [G acc: 0.094]\n",
      "1593 [D loss: (0.603)(R 0.598, F 0.609)] [D acc: (0.670)(0.617, 0.723)] [G loss: 1.135] [G acc: 0.121]\n",
      "1594 [D loss: (0.577)(R 0.563, F 0.592)] [D acc: (0.697)(0.676, 0.719)] [G loss: 1.138] [G acc: 0.078]\n",
      "1595 [D loss: (0.601)(R 0.572, F 0.630)] [D acc: (0.648)(0.617, 0.680)] [G loss: 1.119] [G acc: 0.191]\n",
      "1596 [D loss: (0.581)(R 0.578, F 0.584)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.145] [G acc: 0.113]\n",
      "1597 [D loss: (0.621)(R 0.630, F 0.611)] [D acc: (0.637)(0.562, 0.711)] [G loss: 1.122] [G acc: 0.168]\n",
      "1598 [D loss: (0.589)(R 0.604, F 0.574)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.078] [G acc: 0.109]\n",
      "1599 [D loss: (0.554)(R 0.474, F 0.634)] [D acc: (0.727)(0.742, 0.711)] [G loss: 1.087] [G acc: 0.176]\n",
      "1600 [D loss: (0.596)(R 0.576, F 0.616)] [D acc: (0.682)(0.633, 0.730)] [G loss: 1.106] [G acc: 0.145]\n",
      "1601 [D loss: (0.566)(R 0.548, F 0.585)] [D acc: (0.727)(0.688, 0.766)] [G loss: 1.155] [G acc: 0.133]\n",
      "1602 [D loss: (0.560)(R 0.580, F 0.539)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.204] [G acc: 0.105]\n",
      "1603 [D loss: (0.600)(R 0.539, F 0.660)] [D acc: (0.686)(0.660, 0.711)] [G loss: 1.086] [G acc: 0.203]\n",
      "1604 [D loss: (0.567)(R 0.550, F 0.584)] [D acc: (0.709)(0.672, 0.746)] [G loss: 1.134] [G acc: 0.145]\n",
      "1605 [D loss: (0.590)(R 0.592, F 0.588)] [D acc: (0.691)(0.617, 0.766)] [G loss: 1.234] [G acc: 0.098]\n",
      "1606 [D loss: (0.600)(R 0.634, F 0.566)] [D acc: (0.670)(0.586, 0.754)] [G loss: 1.133] [G acc: 0.129]\n",
      "1607 [D loss: (0.621)(R 0.593, F 0.648)] [D acc: (0.654)(0.617, 0.691)] [G loss: 1.244] [G acc: 0.102]\n",
      "1608 [D loss: (0.603)(R 0.644, F 0.561)] [D acc: (0.676)(0.535, 0.816)] [G loss: 1.140] [G acc: 0.109]\n",
      "1609 [D loss: (0.568)(R 0.584, F 0.551)] [D acc: (0.721)(0.645, 0.797)] [G loss: 1.137] [G acc: 0.145]\n",
      "1610 [D loss: (0.612)(R 0.598, F 0.625)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.099] [G acc: 0.160]\n",
      "1611 [D loss: (0.576)(R 0.568, F 0.584)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.152] [G acc: 0.125]\n",
      "1612 [D loss: (0.669)(R 0.695, F 0.642)] [D acc: (0.613)(0.512, 0.715)] [G loss: 1.057] [G acc: 0.152]\n",
      "1613 [D loss: (0.575)(R 0.564, F 0.586)] [D acc: (0.689)(0.641, 0.738)] [G loss: 1.108] [G acc: 0.141]\n",
      "1614 [D loss: (0.582)(R 0.559, F 0.604)] [D acc: (0.684)(0.652, 0.715)] [G loss: 1.115] [G acc: 0.141]\n",
      "1615 [D loss: (0.581)(R 0.581, F 0.581)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.092] [G acc: 0.129]\n",
      "1616 [D loss: (0.606)(R 0.592, F 0.620)] [D acc: (0.664)(0.621, 0.707)] [G loss: 1.128] [G acc: 0.117]\n",
      "1617 [D loss: (0.626)(R 0.633, F 0.620)] [D acc: (0.645)(0.555, 0.734)] [G loss: 1.120] [G acc: 0.133]\n",
      "1618 [D loss: (0.612)(R 0.627, F 0.597)] [D acc: (0.682)(0.574, 0.789)] [G loss: 1.093] [G acc: 0.133]\n",
      "1619 [D loss: (0.556)(R 0.554, F 0.557)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.111] [G acc: 0.098]\n",
      "1620 [D loss: (0.581)(R 0.585, F 0.577)] [D acc: (0.689)(0.605, 0.773)] [G loss: 1.192] [G acc: 0.113]\n",
      "1621 [D loss: (0.553)(R 0.582, F 0.524)] [D acc: (0.730)(0.645, 0.816)] [G loss: 1.228] [G acc: 0.098]\n",
      "1622 [D loss: (0.583)(R 0.537, F 0.630)] [D acc: (0.689)(0.684, 0.695)] [G loss: 1.137] [G acc: 0.145]\n",
      "1623 [D loss: (0.576)(R 0.596, F 0.557)] [D acc: (0.703)(0.617, 0.789)] [G loss: 1.143] [G acc: 0.117]\n",
      "1624 [D loss: (0.584)(R 0.599, F 0.570)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.189] [G acc: 0.117]\n",
      "1625 [D loss: (0.561)(R 0.573, F 0.550)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.290] [G acc: 0.059]\n",
      "1626 [D loss: (0.613)(R 0.616, F 0.610)] [D acc: (0.619)(0.566, 0.672)] [G loss: 1.195] [G acc: 0.121]\n",
      "1627 [D loss: (0.599)(R 0.645, F 0.554)] [D acc: (0.689)(0.578, 0.801)] [G loss: 1.246] [G acc: 0.102]\n",
      "1628 [D loss: (0.583)(R 0.596, F 0.571)] [D acc: (0.686)(0.594, 0.777)] [G loss: 1.131] [G acc: 0.164]\n",
      "1629 [D loss: (0.555)(R 0.508, F 0.602)] [D acc: (0.719)(0.707, 0.730)] [G loss: 1.180] [G acc: 0.137]\n",
      "1630 [D loss: (0.586)(R 0.638, F 0.533)] [D acc: (0.705)(0.609, 0.801)] [G loss: 1.136] [G acc: 0.160]\n",
      "1631 [D loss: (0.576)(R 0.523, F 0.629)] [D acc: (0.695)(0.695, 0.695)] [G loss: 1.219] [G acc: 0.090]\n",
      "1632 [D loss: (0.588)(R 0.587, F 0.589)] [D acc: (0.691)(0.609, 0.773)] [G loss: 1.165] [G acc: 0.082]\n",
      "1633 [D loss: (0.606)(R 0.622, F 0.590)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.173] [G acc: 0.121]\n",
      "1634 [D loss: (0.585)(R 0.592, F 0.578)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.128] [G acc: 0.148]\n",
      "1635 [D loss: (0.587)(R 0.556, F 0.619)] [D acc: (0.707)(0.668, 0.746)] [G loss: 1.361] [G acc: 0.109]\n",
      "1636 [D loss: (0.607)(R 0.707, F 0.506)] [D acc: (0.689)(0.555, 0.824)] [G loss: 1.267] [G acc: 0.086]\n",
      "1637 [D loss: (0.550)(R 0.518, F 0.581)] [D acc: (0.711)(0.660, 0.762)] [G loss: 1.135] [G acc: 0.160]\n",
      "1638 [D loss: (0.588)(R 0.536, F 0.639)] [D acc: (0.688)(0.684, 0.691)] [G loss: 1.136] [G acc: 0.145]\n",
      "1639 [D loss: (0.608)(R 0.559, F 0.657)] [D acc: (0.670)(0.645, 0.695)] [G loss: 1.202] [G acc: 0.125]\n",
      "1640 [D loss: (0.566)(R 0.586, F 0.546)] [D acc: (0.693)(0.598, 0.789)] [G loss: 1.172] [G acc: 0.105]\n",
      "1641 [D loss: (0.618)(R 0.612, F 0.624)] [D acc: (0.639)(0.586, 0.691)] [G loss: 1.153] [G acc: 0.145]\n",
      "1642 [D loss: (0.614)(R 0.648, F 0.581)] [D acc: (0.648)(0.527, 0.770)] [G loss: 1.126] [G acc: 0.137]\n",
      "1643 [D loss: (0.569)(R 0.581, F 0.557)] [D acc: (0.701)(0.605, 0.797)] [G loss: 1.105] [G acc: 0.133]\n",
      "1644 [D loss: (0.595)(R 0.582, F 0.608)] [D acc: (0.664)(0.598, 0.730)] [G loss: 1.221] [G acc: 0.086]\n",
      "1645 [D loss: (0.586)(R 0.640, F 0.532)] [D acc: (0.682)(0.582, 0.781)] [G loss: 1.104] [G acc: 0.156]\n",
      "1646 [D loss: (0.591)(R 0.574, F 0.607)] [D acc: (0.658)(0.609, 0.707)] [G loss: 1.121] [G acc: 0.137]\n",
      "1647 [D loss: (0.594)(R 0.596, F 0.592)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.145] [G acc: 0.098]\n",
      "1648 [D loss: (0.560)(R 0.562, F 0.558)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.129] [G acc: 0.176]\n",
      "1649 [D loss: (0.559)(R 0.567, F 0.551)] [D acc: (0.699)(0.594, 0.805)] [G loss: 1.133] [G acc: 0.133]\n",
      "1650 [D loss: (0.562)(R 0.589, F 0.536)] [D acc: (0.715)(0.633, 0.797)] [G loss: 1.242] [G acc: 0.121]\n",
      "1651 [D loss: (0.593)(R 0.625, F 0.560)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.189] [G acc: 0.094]\n",
      "1652 [D loss: (0.627)(R 0.591, F 0.663)] [D acc: (0.666)(0.590, 0.742)] [G loss: 1.113] [G acc: 0.137]\n",
      "1653 [D loss: (0.616)(R 0.628, F 0.603)] [D acc: (0.631)(0.578, 0.684)] [G loss: 1.114] [G acc: 0.145]\n",
      "1654 [D loss: (0.616)(R 0.626, F 0.607)] [D acc: (0.648)(0.574, 0.723)] [G loss: 1.070] [G acc: 0.160]\n",
      "1655 [D loss: (0.607)(R 0.594, F 0.620)] [D acc: (0.664)(0.602, 0.727)] [G loss: 1.232] [G acc: 0.094]\n",
      "1656 [D loss: (0.565)(R 0.619, F 0.511)] [D acc: (0.736)(0.629, 0.844)] [G loss: 1.199] [G acc: 0.098]\n",
      "1657 [D loss: (0.594)(R 0.543, F 0.646)] [D acc: (0.664)(0.664, 0.664)] [G loss: 1.140] [G acc: 0.145]\n",
      "1658 [D loss: (0.597)(R 0.613, F 0.581)] [D acc: (0.666)(0.590, 0.742)] [G loss: 1.140] [G acc: 0.184]\n",
      "1659 [D loss: (0.565)(R 0.539, F 0.591)] [D acc: (0.709)(0.648, 0.770)] [G loss: 1.110] [G acc: 0.180]\n",
      "1660 [D loss: (0.580)(R 0.569, F 0.592)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.085] [G acc: 0.176]\n",
      "1661 [D loss: (0.596)(R 0.624, F 0.569)] [D acc: (0.688)(0.598, 0.777)] [G loss: 1.130] [G acc: 0.125]\n",
      "1662 [D loss: (0.623)(R 0.611, F 0.636)] [D acc: (0.648)(0.609, 0.688)] [G loss: 1.179] [G acc: 0.137]\n",
      "1663 [D loss: (0.554)(R 0.585, F 0.522)] [D acc: (0.738)(0.645, 0.832)] [G loss: 1.174] [G acc: 0.129]\n",
      "1664 [D loss: (0.597)(R 0.600, F 0.594)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.114] [G acc: 0.180]\n",
      "1665 [D loss: (0.598)(R 0.574, F 0.622)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.059] [G acc: 0.160]\n",
      "1666 [D loss: (0.595)(R 0.584, F 0.607)] [D acc: (0.670)(0.633, 0.707)] [G loss: 1.272] [G acc: 0.129]\n",
      "1667 [D loss: (0.560)(R 0.595, F 0.525)] [D acc: (0.701)(0.582, 0.820)] [G loss: 1.213] [G acc: 0.055]\n",
      "1668 [D loss: (0.621)(R 0.599, F 0.644)] [D acc: (0.639)(0.594, 0.684)] [G loss: 1.076] [G acc: 0.191]\n",
      "1669 [D loss: (0.597)(R 0.573, F 0.620)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.121] [G acc: 0.172]\n",
      "1670 [D loss: (0.586)(R 0.583, F 0.588)] [D acc: (0.686)(0.590, 0.781)] [G loss: 1.120] [G acc: 0.137]\n",
      "1671 [D loss: (0.556)(R 0.542, F 0.571)] [D acc: (0.711)(0.660, 0.762)] [G loss: 1.168] [G acc: 0.105]\n",
      "1672 [D loss: (0.616)(R 0.597, F 0.635)] [D acc: (0.646)(0.574, 0.719)] [G loss: 1.092] [G acc: 0.141]\n",
      "1673 [D loss: (0.560)(R 0.578, F 0.542)] [D acc: (0.695)(0.617, 0.773)] [G loss: 1.231] [G acc: 0.117]\n",
      "1674 [D loss: (0.631)(R 0.633, F 0.628)] [D acc: (0.627)(0.574, 0.680)] [G loss: 1.089] [G acc: 0.137]\n",
      "1675 [D loss: (0.582)(R 0.573, F 0.591)] [D acc: (0.701)(0.660, 0.742)] [G loss: 1.059] [G acc: 0.188]\n",
      "1676 [D loss: (0.612)(R 0.555, F 0.668)] [D acc: (0.662)(0.641, 0.684)] [G loss: 1.114] [G acc: 0.164]\n",
      "1677 [D loss: (0.610)(R 0.617, F 0.602)] [D acc: (0.637)(0.570, 0.703)] [G loss: 1.087] [G acc: 0.121]\n",
      "1678 [D loss: (0.608)(R 0.629, F 0.586)] [D acc: (0.660)(0.559, 0.762)] [G loss: 1.068] [G acc: 0.156]\n",
      "1679 [D loss: (0.628)(R 0.615, F 0.640)] [D acc: (0.635)(0.582, 0.688)] [G loss: 1.119] [G acc: 0.121]\n",
      "1680 [D loss: (0.575)(R 0.594, F 0.556)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.094] [G acc: 0.168]\n",
      "1681 [D loss: (0.594)(R 0.588, F 0.600)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.141] [G acc: 0.160]\n",
      "1682 [D loss: (0.606)(R 0.590, F 0.622)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.162] [G acc: 0.105]\n",
      "1683 [D loss: (0.568)(R 0.589, F 0.546)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.240] [G acc: 0.090]\n",
      "1684 [D loss: (0.593)(R 0.605, F 0.582)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.167] [G acc: 0.117]\n",
      "1685 [D loss: (0.581)(R 0.576, F 0.586)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.149] [G acc: 0.121]\n",
      "1686 [D loss: (0.595)(R 0.602, F 0.588)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.159] [G acc: 0.109]\n",
      "1687 [D loss: (0.573)(R 0.584, F 0.562)] [D acc: (0.691)(0.617, 0.766)] [G loss: 1.260] [G acc: 0.078]\n",
      "1688 [D loss: (0.606)(R 0.638, F 0.574)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.117] [G acc: 0.164]\n",
      "1689 [D loss: (0.592)(R 0.589, F 0.595)] [D acc: (0.680)(0.625, 0.734)] [G loss: 1.095] [G acc: 0.148]\n",
      "1690 [D loss: (0.574)(R 0.553, F 0.594)] [D acc: (0.703)(0.641, 0.766)] [G loss: 1.121] [G acc: 0.164]\n",
      "1691 [D loss: (0.598)(R 0.645, F 0.552)] [D acc: (0.684)(0.570, 0.797)] [G loss: 1.142] [G acc: 0.109]\n",
      "1692 [D loss: (0.660)(R 0.638, F 0.682)] [D acc: (0.648)(0.562, 0.734)] [G loss: 1.084] [G acc: 0.102]\n",
      "1693 [D loss: (0.594)(R 0.598, F 0.591)] [D acc: (0.676)(0.625, 0.727)] [G loss: 1.105] [G acc: 0.156]\n",
      "1694 [D loss: (0.581)(R 0.580, F 0.583)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.058] [G acc: 0.148]\n",
      "1695 [D loss: (0.563)(R 0.544, F 0.582)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.068] [G acc: 0.160]\n",
      "1696 [D loss: (0.573)(R 0.562, F 0.583)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.128] [G acc: 0.137]\n",
      "1697 [D loss: (0.582)(R 0.563, F 0.602)] [D acc: (0.703)(0.648, 0.758)] [G loss: 1.178] [G acc: 0.129]\n",
      "1698 [D loss: (0.610)(R 0.643, F 0.577)] [D acc: (0.672)(0.570, 0.773)] [G loss: 1.115] [G acc: 0.121]\n",
      "1699 [D loss: (0.598)(R 0.592, F 0.605)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.125] [G acc: 0.133]\n",
      "1700 [D loss: (0.590)(R 0.622, F 0.558)] [D acc: (0.672)(0.562, 0.781)] [G loss: 1.164] [G acc: 0.141]\n",
      "1701 [D loss: (0.569)(R 0.542, F 0.597)] [D acc: (0.717)(0.660, 0.773)] [G loss: 1.135] [G acc: 0.137]\n",
      "1702 [D loss: (0.611)(R 0.572, F 0.651)] [D acc: (0.689)(0.668, 0.711)] [G loss: 1.160] [G acc: 0.129]\n",
      "1703 [D loss: (0.577)(R 0.599, F 0.554)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.149] [G acc: 0.129]\n",
      "1704 [D loss: (0.641)(R 0.606, F 0.676)] [D acc: (0.639)(0.586, 0.691)] [G loss: 1.141] [G acc: 0.117]\n",
      "1705 [D loss: (0.581)(R 0.582, F 0.580)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.126] [G acc: 0.090]\n",
      "1706 [D loss: (0.580)(R 0.544, F 0.616)] [D acc: (0.686)(0.660, 0.711)] [G loss: 1.196] [G acc: 0.125]\n",
      "1707 [D loss: (0.584)(R 0.615, F 0.553)] [D acc: (0.691)(0.590, 0.793)] [G loss: 1.178] [G acc: 0.098]\n",
      "1708 [D loss: (0.597)(R 0.589, F 0.604)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.118] [G acc: 0.141]\n",
      "1709 [D loss: (0.561)(R 0.549, F 0.573)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.178] [G acc: 0.152]\n",
      "1710 [D loss: (0.601)(R 0.599, F 0.603)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.175] [G acc: 0.094]\n",
      "1711 [D loss: (0.613)(R 0.641, F 0.585)] [D acc: (0.650)(0.539, 0.762)] [G loss: 1.164] [G acc: 0.117]\n",
      "1712 [D loss: (0.563)(R 0.598, F 0.528)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.152] [G acc: 0.109]\n",
      "1713 [D loss: (0.584)(R 0.549, F 0.619)] [D acc: (0.686)(0.660, 0.711)] [G loss: 1.152] [G acc: 0.133]\n",
      "1714 [D loss: (0.580)(R 0.550, F 0.610)] [D acc: (0.699)(0.660, 0.738)] [G loss: 1.200] [G acc: 0.082]\n",
      "1715 [D loss: (0.612)(R 0.624, F 0.600)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.173] [G acc: 0.145]\n",
      "1716 [D loss: (0.645)(R 0.686, F 0.604)] [D acc: (0.611)(0.504, 0.719)] [G loss: 1.113] [G acc: 0.113]\n",
      "1717 [D loss: (0.603)(R 0.601, F 0.606)] [D acc: (0.652)(0.609, 0.695)] [G loss: 1.094] [G acc: 0.160]\n",
      "1718 [D loss: (0.587)(R 0.565, F 0.610)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.162] [G acc: 0.113]\n",
      "1719 [D loss: (0.620)(R 0.632, F 0.609)] [D acc: (0.648)(0.566, 0.730)] [G loss: 1.100] [G acc: 0.129]\n",
      "1720 [D loss: (0.592)(R 0.613, F 0.572)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.140] [G acc: 0.125]\n",
      "1721 [D loss: (0.613)(R 0.618, F 0.609)] [D acc: (0.654)(0.590, 0.719)] [G loss: 1.100] [G acc: 0.121]\n",
      "1722 [D loss: (0.587)(R 0.617, F 0.557)] [D acc: (0.674)(0.566, 0.781)] [G loss: 1.108] [G acc: 0.125]\n",
      "1723 [D loss: (0.602)(R 0.573, F 0.631)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.091] [G acc: 0.160]\n",
      "1724 [D loss: (0.557)(R 0.559, F 0.554)] [D acc: (0.721)(0.648, 0.793)] [G loss: 1.148] [G acc: 0.141]\n",
      "1725 [D loss: (0.617)(R 0.601, F 0.633)] [D acc: (0.645)(0.609, 0.680)] [G loss: 1.126] [G acc: 0.145]\n",
      "1726 [D loss: (0.570)(R 0.614, F 0.525)] [D acc: (0.705)(0.602, 0.809)] [G loss: 1.155] [G acc: 0.109]\n",
      "1727 [D loss: (0.612)(R 0.576, F 0.648)] [D acc: (0.670)(0.629, 0.711)] [G loss: 1.103] [G acc: 0.164]\n",
      "1728 [D loss: (0.602)(R 0.614, F 0.591)] [D acc: (0.666)(0.578, 0.754)] [G loss: 1.026] [G acc: 0.172]\n",
      "1729 [D loss: (0.592)(R 0.616, F 0.568)] [D acc: (0.691)(0.598, 0.785)] [G loss: 1.083] [G acc: 0.207]\n",
      "1730 [D loss: (0.589)(R 0.584, F 0.594)] [D acc: (0.678)(0.594, 0.762)] [G loss: 1.151] [G acc: 0.109]\n",
      "1731 [D loss: (0.576)(R 0.593, F 0.560)] [D acc: (0.709)(0.621, 0.797)] [G loss: 1.098] [G acc: 0.184]\n",
      "1732 [D loss: (0.575)(R 0.573, F 0.577)] [D acc: (0.688)(0.625, 0.750)] [G loss: 1.043] [G acc: 0.211]\n",
      "1733 [D loss: (0.615)(R 0.567, F 0.664)] [D acc: (0.635)(0.617, 0.652)] [G loss: 1.076] [G acc: 0.199]\n",
      "1734 [D loss: (0.611)(R 0.594, F 0.628)] [D acc: (0.646)(0.605, 0.688)] [G loss: 1.113] [G acc: 0.156]\n",
      "1735 [D loss: (0.592)(R 0.611, F 0.572)] [D acc: (0.668)(0.582, 0.754)] [G loss: 1.143] [G acc: 0.129]\n",
      "1736 [D loss: (0.600)(R 0.616, F 0.583)] [D acc: (0.656)(0.566, 0.746)] [G loss: 1.215] [G acc: 0.109]\n",
      "1737 [D loss: (0.581)(R 0.620, F 0.541)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.227] [G acc: 0.102]\n",
      "1738 [D loss: (0.579)(R 0.599, F 0.559)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.290] [G acc: 0.105]\n",
      "1739 [D loss: (0.523)(R 0.578, F 0.468)] [D acc: (0.715)(0.578, 0.852)] [G loss: 1.391] [G acc: 0.043]\n",
      "1740 [D loss: (0.594)(R 0.495, F 0.693)] [D acc: (0.676)(0.695, 0.656)] [G loss: 1.136] [G acc: 0.164]\n",
      "1741 [D loss: (0.572)(R 0.550, F 0.594)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.201] [G acc: 0.141]\n",
      "1742 [D loss: (0.559)(R 0.548, F 0.569)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.204] [G acc: 0.113]\n",
      "1743 [D loss: (0.652)(R 0.643, F 0.662)] [D acc: (0.637)(0.566, 0.707)] [G loss: 1.135] [G acc: 0.156]\n",
      "1744 [D loss: (0.594)(R 0.624, F 0.563)] [D acc: (0.656)(0.547, 0.766)] [G loss: 1.181] [G acc: 0.090]\n",
      "1745 [D loss: (0.616)(R 0.619, F 0.614)] [D acc: (0.648)(0.582, 0.715)] [G loss: 1.135] [G acc: 0.125]\n",
      "1746 [D loss: (0.601)(R 0.592, F 0.609)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.188] [G acc: 0.129]\n",
      "1747 [D loss: (0.605)(R 0.686, F 0.525)] [D acc: (0.654)(0.512, 0.797)] [G loss: 1.096] [G acc: 0.133]\n",
      "1748 [D loss: (0.581)(R 0.559, F 0.602)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.127] [G acc: 0.137]\n",
      "1749 [D loss: (0.620)(R 0.637, F 0.602)] [D acc: (0.658)(0.594, 0.723)] [G loss: 1.098] [G acc: 0.117]\n",
      "1750 [D loss: (0.573)(R 0.584, F 0.562)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.091] [G acc: 0.172]\n",
      "1751 [D loss: (0.567)(R 0.538, F 0.596)] [D acc: (0.689)(0.656, 0.723)] [G loss: 1.169] [G acc: 0.133]\n",
      "1752 [D loss: (0.611)(R 0.653, F 0.569)] [D acc: (0.654)(0.543, 0.766)] [G loss: 1.085] [G acc: 0.145]\n",
      "1753 [D loss: (0.582)(R 0.589, F 0.574)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.130] [G acc: 0.141]\n",
      "1754 [D loss: (0.591)(R 0.615, F 0.567)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.097] [G acc: 0.133]\n",
      "1755 [D loss: (0.558)(R 0.538, F 0.578)] [D acc: (0.729)(0.680, 0.777)] [G loss: 1.284] [G acc: 0.102]\n",
      "1756 [D loss: (0.630)(R 0.640, F 0.620)] [D acc: (0.646)(0.586, 0.707)] [G loss: 1.100] [G acc: 0.156]\n",
      "1757 [D loss: (0.568)(R 0.532, F 0.604)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.128] [G acc: 0.152]\n",
      "1758 [D loss: (0.580)(R 0.591, F 0.570)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.149] [G acc: 0.141]\n",
      "1759 [D loss: (0.582)(R 0.531, F 0.633)] [D acc: (0.664)(0.668, 0.660)] [G loss: 1.210] [G acc: 0.141]\n",
      "1760 [D loss: (0.558)(R 0.609, F 0.506)] [D acc: (0.715)(0.613, 0.816)] [G loss: 1.223] [G acc: 0.102]\n",
      "1761 [D loss: (0.595)(R 0.556, F 0.633)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.124] [G acc: 0.148]\n",
      "1762 [D loss: (0.566)(R 0.590, F 0.542)] [D acc: (0.705)(0.629, 0.781)] [G loss: 1.198] [G acc: 0.102]\n",
      "1763 [D loss: (0.573)(R 0.565, F 0.581)] [D acc: (0.713)(0.652, 0.773)] [G loss: 1.218] [G acc: 0.145]\n",
      "1764 [D loss: (0.611)(R 0.601, F 0.621)] [D acc: (0.664)(0.605, 0.723)] [G loss: 1.166] [G acc: 0.168]\n",
      "1765 [D loss: (0.602)(R 0.596, F 0.608)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.226] [G acc: 0.086]\n",
      "1766 [D loss: (0.598)(R 0.632, F 0.565)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.122] [G acc: 0.176]\n",
      "1767 [D loss: (0.551)(R 0.538, F 0.563)] [D acc: (0.709)(0.684, 0.734)] [G loss: 1.142] [G acc: 0.117]\n",
      "1768 [D loss: (0.629)(R 0.582, F 0.676)] [D acc: (0.656)(0.633, 0.680)] [G loss: 1.160] [G acc: 0.102]\n",
      "1769 [D loss: (0.593)(R 0.633, F 0.554)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.095] [G acc: 0.195]\n",
      "1770 [D loss: (0.636)(R 0.592, F 0.681)] [D acc: (0.645)(0.625, 0.664)] [G loss: 1.057] [G acc: 0.176]\n",
      "1771 [D loss: (0.599)(R 0.589, F 0.609)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.042] [G acc: 0.172]\n",
      "1772 [D loss: (0.577)(R 0.603, F 0.551)] [D acc: (0.723)(0.617, 0.828)] [G loss: 1.132] [G acc: 0.109]\n",
      "1773 [D loss: (0.558)(R 0.557, F 0.558)] [D acc: (0.715)(0.664, 0.766)] [G loss: 1.137] [G acc: 0.137]\n",
      "1774 [D loss: (0.585)(R 0.625, F 0.545)] [D acc: (0.676)(0.551, 0.801)] [G loss: 1.111] [G acc: 0.152]\n",
      "1775 [D loss: (0.531)(R 0.506, F 0.556)] [D acc: (0.746)(0.707, 0.785)] [G loss: 1.213] [G acc: 0.156]\n",
      "1776 [D loss: (0.585)(R 0.562, F 0.607)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.153] [G acc: 0.125]\n",
      "1777 [D loss: (0.590)(R 0.562, F 0.617)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.185] [G acc: 0.129]\n",
      "1778 [D loss: (0.554)(R 0.569, F 0.539)] [D acc: (0.727)(0.656, 0.797)] [G loss: 1.220] [G acc: 0.117]\n",
      "1779 [D loss: (0.620)(R 0.595, F 0.645)] [D acc: (0.652)(0.613, 0.691)] [G loss: 1.181] [G acc: 0.191]\n",
      "1780 [D loss: (0.539)(R 0.573, F 0.505)] [D acc: (0.734)(0.641, 0.828)] [G loss: 1.298] [G acc: 0.113]\n",
      "1781 [D loss: (0.575)(R 0.550, F 0.600)] [D acc: (0.666)(0.648, 0.684)] [G loss: 1.277] [G acc: 0.137]\n",
      "1782 [D loss: (0.603)(R 0.624, F 0.582)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.257] [G acc: 0.105]\n",
      "1783 [D loss: (0.574)(R 0.553, F 0.596)] [D acc: (0.699)(0.660, 0.738)] [G loss: 1.156] [G acc: 0.148]\n",
      "1784 [D loss: (0.605)(R 0.562, F 0.649)] [D acc: (0.689)(0.676, 0.703)] [G loss: 1.196] [G acc: 0.133]\n",
      "1785 [D loss: (0.614)(R 0.648, F 0.579)] [D acc: (0.654)(0.578, 0.730)] [G loss: 1.171] [G acc: 0.176]\n",
      "1786 [D loss: (0.560)(R 0.540, F 0.581)] [D acc: (0.707)(0.668, 0.746)] [G loss: 1.158] [G acc: 0.137]\n",
      "1787 [D loss: (0.591)(R 0.558, F 0.624)] [D acc: (0.680)(0.645, 0.715)] [G loss: 1.170] [G acc: 0.133]\n",
      "1788 [D loss: (0.566)(R 0.572, F 0.560)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.153] [G acc: 0.148]\n",
      "1789 [D loss: (0.602)(R 0.566, F 0.637)] [D acc: (0.670)(0.613, 0.727)] [G loss: 1.113] [G acc: 0.199]\n",
      "1790 [D loss: (0.559)(R 0.563, F 0.556)] [D acc: (0.707)(0.637, 0.777)] [G loss: 1.170] [G acc: 0.121]\n",
      "1791 [D loss: (0.607)(R 0.581, F 0.632)] [D acc: (0.660)(0.625, 0.695)] [G loss: 1.200] [G acc: 0.152]\n",
      "1792 [D loss: (0.647)(R 0.655, F 0.638)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.100] [G acc: 0.129]\n",
      "1793 [D loss: (0.573)(R 0.548, F 0.597)] [D acc: (0.678)(0.648, 0.707)] [G loss: 1.125] [G acc: 0.184]\n",
      "1794 [D loss: (0.585)(R 0.618, F 0.552)] [D acc: (0.668)(0.578, 0.758)] [G loss: 1.228] [G acc: 0.094]\n",
      "1795 [D loss: (0.523)(R 0.493, F 0.553)] [D acc: (0.721)(0.711, 0.730)] [G loss: 1.303] [G acc: 0.152]\n",
      "1796 [D loss: (0.598)(R 0.615, F 0.581)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.223] [G acc: 0.129]\n",
      "1797 [D loss: (0.579)(R 0.595, F 0.563)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.265] [G acc: 0.168]\n",
      "1798 [D loss: (0.548)(R 0.584, F 0.513)] [D acc: (0.725)(0.648, 0.801)] [G loss: 1.258] [G acc: 0.078]\n",
      "1799 [D loss: (0.597)(R 0.619, F 0.576)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.222] [G acc: 0.156]\n",
      "1800 [D loss: (0.562)(R 0.500, F 0.624)] [D acc: (0.693)(0.699, 0.688)] [G loss: 1.283] [G acc: 0.125]\n",
      "1801 [D loss: (0.658)(R 0.683, F 0.633)] [D acc: (0.637)(0.559, 0.715)] [G loss: 1.102] [G acc: 0.156]\n",
      "1802 [D loss: (0.612)(R 0.591, F 0.633)] [D acc: (0.656)(0.617, 0.695)] [G loss: 1.175] [G acc: 0.109]\n",
      "1803 [D loss: (0.598)(R 0.635, F 0.562)] [D acc: (0.686)(0.594, 0.777)] [G loss: 1.118] [G acc: 0.129]\n",
      "1804 [D loss: (0.588)(R 0.573, F 0.603)] [D acc: (0.664)(0.641, 0.688)] [G loss: 1.179] [G acc: 0.125]\n",
      "1805 [D loss: (0.582)(R 0.591, F 0.573)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.103] [G acc: 0.152]\n",
      "1806 [D loss: (0.631)(R 0.628, F 0.634)] [D acc: (0.643)(0.562, 0.723)] [G loss: 1.229] [G acc: 0.078]\n",
      "1807 [D loss: (0.611)(R 0.666, F 0.556)] [D acc: (0.645)(0.523, 0.766)] [G loss: 1.147] [G acc: 0.086]\n",
      "1808 [D loss: (0.590)(R 0.568, F 0.611)] [D acc: (0.672)(0.641, 0.703)] [G loss: 1.112] [G acc: 0.152]\n",
      "1809 [D loss: (0.591)(R 0.576, F 0.606)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.146] [G acc: 0.102]\n",
      "1810 [D loss: (0.604)(R 0.627, F 0.582)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.118] [G acc: 0.148]\n",
      "1811 [D loss: (0.595)(R 0.587, F 0.602)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.097] [G acc: 0.125]\n",
      "1812 [D loss: (0.618)(R 0.619, F 0.618)] [D acc: (0.650)(0.582, 0.719)] [G loss: 1.157] [G acc: 0.129]\n",
      "1813 [D loss: (0.635)(R 0.688, F 0.582)] [D acc: (0.631)(0.500, 0.762)] [G loss: 1.065] [G acc: 0.109]\n",
      "1814 [D loss: (0.597)(R 0.628, F 0.565)] [D acc: (0.658)(0.559, 0.758)] [G loss: 1.109] [G acc: 0.117]\n",
      "1815 [D loss: (0.588)(R 0.613, F 0.564)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.144] [G acc: 0.098]\n",
      "1816 [D loss: (0.611)(R 0.570, F 0.652)] [D acc: (0.674)(0.637, 0.711)] [G loss: 1.069] [G acc: 0.164]\n",
      "1817 [D loss: (0.603)(R 0.613, F 0.594)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.056] [G acc: 0.164]\n",
      "1818 [D loss: (0.603)(R 0.586, F 0.620)] [D acc: (0.650)(0.594, 0.707)] [G loss: 1.099] [G acc: 0.164]\n",
      "1819 [D loss: (0.576)(R 0.593, F 0.558)] [D acc: (0.711)(0.629, 0.793)] [G loss: 1.090] [G acc: 0.137]\n",
      "1820 [D loss: (0.594)(R 0.574, F 0.614)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.158] [G acc: 0.145]\n",
      "1821 [D loss: (0.540)(R 0.529, F 0.551)] [D acc: (0.701)(0.660, 0.742)] [G loss: 1.201] [G acc: 0.105]\n",
      "1822 [D loss: (0.616)(R 0.550, F 0.683)] [D acc: (0.656)(0.672, 0.641)] [G loss: 1.155] [G acc: 0.137]\n",
      "1823 [D loss: (0.598)(R 0.618, F 0.577)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.156] [G acc: 0.117]\n",
      "1824 [D loss: (0.593)(R 0.631, F 0.555)] [D acc: (0.680)(0.578, 0.781)] [G loss: 1.249] [G acc: 0.129]\n",
      "1825 [D loss: (0.551)(R 0.592, F 0.509)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.296] [G acc: 0.082]\n",
      "1826 [D loss: (0.603)(R 0.566, F 0.639)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.178] [G acc: 0.137]\n",
      "1827 [D loss: (0.576)(R 0.595, F 0.557)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.223] [G acc: 0.117]\n",
      "1828 [D loss: (0.588)(R 0.564, F 0.611)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.181] [G acc: 0.137]\n",
      "1829 [D loss: (0.609)(R 0.636, F 0.582)] [D acc: (0.656)(0.566, 0.746)] [G loss: 1.191] [G acc: 0.113]\n",
      "1830 [D loss: (0.583)(R 0.637, F 0.530)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.135] [G acc: 0.164]\n",
      "1831 [D loss: (0.598)(R 0.595, F 0.601)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.176] [G acc: 0.145]\n",
      "1832 [D loss: (0.584)(R 0.614, F 0.554)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.144] [G acc: 0.137]\n",
      "1833 [D loss: (0.594)(R 0.545, F 0.643)] [D acc: (0.689)(0.660, 0.719)] [G loss: 1.163] [G acc: 0.113]\n",
      "1834 [D loss: (0.590)(R 0.580, F 0.600)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.221] [G acc: 0.145]\n",
      "1835 [D loss: (0.600)(R 0.632, F 0.568)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.135] [G acc: 0.141]\n",
      "1836 [D loss: (0.572)(R 0.560, F 0.584)] [D acc: (0.701)(0.668, 0.734)] [G loss: 1.146] [G acc: 0.199]\n",
      "1837 [D loss: (0.597)(R 0.590, F 0.605)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.153] [G acc: 0.094]\n",
      "1838 [D loss: (0.591)(R 0.607, F 0.576)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.200] [G acc: 0.152]\n",
      "1839 [D loss: (0.553)(R 0.570, F 0.536)] [D acc: (0.736)(0.660, 0.812)] [G loss: 1.219] [G acc: 0.133]\n",
      "1840 [D loss: (0.562)(R 0.518, F 0.606)] [D acc: (0.709)(0.672, 0.746)] [G loss: 1.212] [G acc: 0.160]\n",
      "1841 [D loss: (0.555)(R 0.518, F 0.591)] [D acc: (0.701)(0.695, 0.707)] [G loss: 1.224] [G acc: 0.117]\n",
      "1842 [D loss: (0.601)(R 0.618, F 0.583)] [D acc: (0.670)(0.594, 0.746)] [G loss: 1.195] [G acc: 0.113]\n",
      "1843 [D loss: (0.578)(R 0.583, F 0.572)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.195] [G acc: 0.117]\n",
      "1844 [D loss: (0.566)(R 0.594, F 0.538)] [D acc: (0.709)(0.625, 0.793)] [G loss: 1.164] [G acc: 0.152]\n",
      "1845 [D loss: (0.510)(R 0.516, F 0.505)] [D acc: (0.734)(0.660, 0.809)] [G loss: 1.251] [G acc: 0.113]\n",
      "1846 [D loss: (0.607)(R 0.667, F 0.547)] [D acc: (0.678)(0.570, 0.785)] [G loss: 1.282] [G acc: 0.129]\n",
      "1847 [D loss: (0.611)(R 0.623, F 0.600)] [D acc: (0.641)(0.559, 0.723)] [G loss: 1.155] [G acc: 0.117]\n",
      "1848 [D loss: (0.571)(R 0.564, F 0.577)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.190] [G acc: 0.125]\n",
      "1849 [D loss: (0.591)(R 0.602, F 0.581)] [D acc: (0.717)(0.633, 0.801)] [G loss: 1.236] [G acc: 0.113]\n",
      "1850 [D loss: (0.619)(R 0.635, F 0.602)] [D acc: (0.637)(0.586, 0.688)] [G loss: 1.076] [G acc: 0.164]\n",
      "1851 [D loss: (0.577)(R 0.566, F 0.588)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.212] [G acc: 0.125]\n",
      "1852 [D loss: (0.593)(R 0.600, F 0.585)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.115] [G acc: 0.129]\n",
      "1853 [D loss: (0.624)(R 0.598, F 0.651)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.114] [G acc: 0.113]\n",
      "1854 [D loss: (0.581)(R 0.612, F 0.551)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.155] [G acc: 0.109]\n",
      "1855 [D loss: (0.570)(R 0.562, F 0.577)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.112] [G acc: 0.121]\n",
      "1856 [D loss: (0.598)(R 0.586, F 0.609)] [D acc: (0.656)(0.594, 0.719)] [G loss: 1.114] [G acc: 0.168]\n",
      "1857 [D loss: (0.595)(R 0.597, F 0.593)] [D acc: (0.670)(0.602, 0.738)] [G loss: 1.191] [G acc: 0.109]\n",
      "1858 [D loss: (0.600)(R 0.661, F 0.540)] [D acc: (0.699)(0.582, 0.816)] [G loss: 1.227] [G acc: 0.102]\n",
      "1859 [D loss: (0.596)(R 0.614, F 0.577)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.206] [G acc: 0.125]\n",
      "1860 [D loss: (0.598)(R 0.651, F 0.544)] [D acc: (0.689)(0.562, 0.816)] [G loss: 1.128] [G acc: 0.098]\n",
      "1861 [D loss: (0.623)(R 0.617, F 0.630)] [D acc: (0.639)(0.605, 0.672)] [G loss: 1.138] [G acc: 0.141]\n",
      "1862 [D loss: (0.538)(R 0.555, F 0.521)] [D acc: (0.725)(0.645, 0.805)] [G loss: 1.132] [G acc: 0.152]\n",
      "1863 [D loss: (0.574)(R 0.537, F 0.611)] [D acc: (0.699)(0.664, 0.734)] [G loss: 1.154] [G acc: 0.152]\n",
      "1864 [D loss: (0.585)(R 0.587, F 0.583)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.134] [G acc: 0.145]\n",
      "1865 [D loss: (0.602)(R 0.610, F 0.595)] [D acc: (0.680)(0.625, 0.734)] [G loss: 1.276] [G acc: 0.133]\n",
      "1866 [D loss: (0.573)(R 0.613, F 0.533)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.197] [G acc: 0.113]\n",
      "1867 [D loss: (0.618)(R 0.571, F 0.664)] [D acc: (0.633)(0.609, 0.656)] [G loss: 1.202] [G acc: 0.125]\n",
      "1868 [D loss: (0.576)(R 0.607, F 0.545)] [D acc: (0.686)(0.586, 0.785)] [G loss: 1.192] [G acc: 0.133]\n",
      "1869 [D loss: (0.580)(R 0.564, F 0.597)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.235] [G acc: 0.129]\n",
      "1870 [D loss: (0.585)(R 0.585, F 0.586)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.162] [G acc: 0.109]\n",
      "1871 [D loss: (0.594)(R 0.597, F 0.591)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.206] [G acc: 0.129]\n",
      "1872 [D loss: (0.586)(R 0.601, F 0.570)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.186] [G acc: 0.105]\n",
      "1873 [D loss: (0.592)(R 0.612, F 0.572)] [D acc: (0.688)(0.598, 0.777)] [G loss: 1.092] [G acc: 0.215]\n",
      "1874 [D loss: (0.570)(R 0.545, F 0.594)] [D acc: (0.711)(0.684, 0.738)] [G loss: 1.130] [G acc: 0.168]\n",
      "1875 [D loss: (0.576)(R 0.584, F 0.568)] [D acc: (0.678)(0.590, 0.766)] [G loss: 1.163] [G acc: 0.152]\n",
      "1876 [D loss: (0.591)(R 0.602, F 0.580)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.117] [G acc: 0.145]\n",
      "1877 [D loss: (0.582)(R 0.564, F 0.600)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.158] [G acc: 0.125]\n",
      "1878 [D loss: (0.574)(R 0.574, F 0.573)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.172] [G acc: 0.156]\n",
      "1879 [D loss: (0.590)(R 0.574, F 0.605)] [D acc: (0.678)(0.656, 0.699)] [G loss: 1.141] [G acc: 0.113]\n",
      "1880 [D loss: (0.580)(R 0.588, F 0.572)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.154] [G acc: 0.180]\n",
      "1881 [D loss: (0.578)(R 0.608, F 0.548)] [D acc: (0.695)(0.582, 0.809)] [G loss: 1.211] [G acc: 0.113]\n",
      "1882 [D loss: (0.571)(R 0.556, F 0.586)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.178] [G acc: 0.141]\n",
      "1883 [D loss: (0.580)(R 0.621, F 0.538)] [D acc: (0.715)(0.605, 0.824)] [G loss: 1.212] [G acc: 0.074]\n",
      "1884 [D loss: (0.566)(R 0.521, F 0.611)] [D acc: (0.701)(0.691, 0.711)] [G loss: 1.163] [G acc: 0.133]\n",
      "1885 [D loss: (0.576)(R 0.611, F 0.541)] [D acc: (0.701)(0.598, 0.805)] [G loss: 1.183] [G acc: 0.125]\n",
      "1886 [D loss: (0.599)(R 0.581, F 0.616)] [D acc: (0.664)(0.602, 0.727)] [G loss: 1.268] [G acc: 0.133]\n",
      "1887 [D loss: (0.554)(R 0.594, F 0.514)] [D acc: (0.725)(0.625, 0.824)] [G loss: 1.173] [G acc: 0.148]\n",
      "1888 [D loss: (0.621)(R 0.564, F 0.679)] [D acc: (0.645)(0.648, 0.641)] [G loss: 1.231] [G acc: 0.141]\n",
      "1889 [D loss: (0.579)(R 0.621, F 0.538)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.179] [G acc: 0.145]\n",
      "1890 [D loss: (0.577)(R 0.518, F 0.635)] [D acc: (0.688)(0.691, 0.684)] [G loss: 1.133] [G acc: 0.141]\n",
      "1891 [D loss: (0.591)(R 0.581, F 0.600)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.160] [G acc: 0.152]\n",
      "1892 [D loss: (0.560)(R 0.578, F 0.542)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.232] [G acc: 0.102]\n",
      "1893 [D loss: (0.629)(R 0.618, F 0.640)] [D acc: (0.648)(0.621, 0.676)] [G loss: 1.162] [G acc: 0.109]\n",
      "1894 [D loss: (0.594)(R 0.630, F 0.559)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.131] [G acc: 0.141]\n",
      "1895 [D loss: (0.565)(R 0.531, F 0.599)] [D acc: (0.691)(0.660, 0.723)] [G loss: 1.177] [G acc: 0.137]\n",
      "1896 [D loss: (0.571)(R 0.590, F 0.552)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.174] [G acc: 0.105]\n",
      "1897 [D loss: (0.590)(R 0.559, F 0.621)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.235] [G acc: 0.117]\n",
      "1898 [D loss: (0.569)(R 0.600, F 0.538)] [D acc: (0.713)(0.609, 0.816)] [G loss: 1.196] [G acc: 0.125]\n",
      "1899 [D loss: (0.565)(R 0.587, F 0.543)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.313] [G acc: 0.082]\n",
      "1900 [D loss: (0.625)(R 0.655, F 0.595)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.185] [G acc: 0.105]\n",
      "1901 [D loss: (0.581)(R 0.596, F 0.566)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.152] [G acc: 0.176]\n",
      "1902 [D loss: (0.592)(R 0.596, F 0.588)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.156] [G acc: 0.160]\n",
      "1903 [D loss: (0.595)(R 0.554, F 0.637)] [D acc: (0.678)(0.652, 0.703)] [G loss: 1.224] [G acc: 0.141]\n",
      "1904 [D loss: (0.582)(R 0.668, F 0.496)] [D acc: (0.713)(0.570, 0.855)] [G loss: 1.287] [G acc: 0.074]\n",
      "1905 [D loss: (0.560)(R 0.582, F 0.538)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.190] [G acc: 0.148]\n",
      "1906 [D loss: (0.555)(R 0.536, F 0.575)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.191] [G acc: 0.145]\n",
      "1907 [D loss: (0.596)(R 0.577, F 0.616)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.280] [G acc: 0.105]\n",
      "1908 [D loss: (0.569)(R 0.576, F 0.561)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.245] [G acc: 0.148]\n",
      "1909 [D loss: (0.576)(R 0.594, F 0.559)] [D acc: (0.695)(0.633, 0.758)] [G loss: 1.225] [G acc: 0.094]\n",
      "1910 [D loss: (0.583)(R 0.584, F 0.583)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.209] [G acc: 0.152]\n",
      "1911 [D loss: (0.572)(R 0.598, F 0.546)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.303] [G acc: 0.055]\n",
      "1912 [D loss: (0.607)(R 0.598, F 0.616)] [D acc: (0.656)(0.598, 0.715)] [G loss: 1.165] [G acc: 0.148]\n",
      "1913 [D loss: (0.556)(R 0.588, F 0.523)] [D acc: (0.730)(0.645, 0.816)] [G loss: 1.223] [G acc: 0.109]\n",
      "1914 [D loss: (0.589)(R 0.574, F 0.604)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.187] [G acc: 0.141]\n",
      "1915 [D loss: (0.577)(R 0.589, F 0.564)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.261] [G acc: 0.098]\n",
      "1916 [D loss: (0.564)(R 0.551, F 0.577)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.222] [G acc: 0.098]\n",
      "1917 [D loss: (0.599)(R 0.617, F 0.581)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.151] [G acc: 0.172]\n",
      "1918 [D loss: (0.577)(R 0.582, F 0.572)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.143] [G acc: 0.148]\n",
      "1919 [D loss: (0.605)(R 0.612, F 0.597)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.138] [G acc: 0.160]\n",
      "1920 [D loss: (0.563)(R 0.570, F 0.556)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.155] [G acc: 0.168]\n",
      "1921 [D loss: (0.575)(R 0.578, F 0.572)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.184] [G acc: 0.172]\n",
      "1922 [D loss: (0.597)(R 0.566, F 0.627)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.222] [G acc: 0.121]\n",
      "1923 [D loss: (0.558)(R 0.560, F 0.556)] [D acc: (0.713)(0.645, 0.781)] [G loss: 1.270] [G acc: 0.094]\n",
      "1924 [D loss: (0.561)(R 0.570, F 0.552)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.167] [G acc: 0.137]\n",
      "1925 [D loss: (0.613)(R 0.599, F 0.627)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.170] [G acc: 0.219]\n",
      "1926 [D loss: (0.560)(R 0.561, F 0.559)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.181] [G acc: 0.156]\n",
      "1927 [D loss: (0.644)(R 0.598, F 0.690)] [D acc: (0.637)(0.602, 0.672)] [G loss: 1.257] [G acc: 0.094]\n",
      "1928 [D loss: (0.656)(R 0.735, F 0.578)] [D acc: (0.633)(0.516, 0.750)] [G loss: 1.133] [G acc: 0.105]\n",
      "1929 [D loss: (0.578)(R 0.575, F 0.580)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.276] [G acc: 0.133]\n",
      "1930 [D loss: (0.586)(R 0.603, F 0.569)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.199] [G acc: 0.121]\n",
      "1931 [D loss: (0.581)(R 0.589, F 0.573)] [D acc: (0.723)(0.664, 0.781)] [G loss: 1.144] [G acc: 0.141]\n",
      "1932 [D loss: (0.610)(R 0.617, F 0.603)] [D acc: (0.645)(0.594, 0.695)] [G loss: 1.138] [G acc: 0.098]\n",
      "1933 [D loss: (0.610)(R 0.597, F 0.623)] [D acc: (0.658)(0.609, 0.707)] [G loss: 1.141] [G acc: 0.172]\n",
      "1934 [D loss: (0.580)(R 0.611, F 0.549)] [D acc: (0.713)(0.645, 0.781)] [G loss: 1.116] [G acc: 0.199]\n",
      "1935 [D loss: (0.621)(R 0.618, F 0.624)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.135] [G acc: 0.125]\n",
      "1936 [D loss: (0.586)(R 0.595, F 0.578)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.135] [G acc: 0.164]\n",
      "1937 [D loss: (0.595)(R 0.626, F 0.563)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.130] [G acc: 0.180]\n",
      "1938 [D loss: (0.580)(R 0.595, F 0.565)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.178] [G acc: 0.113]\n",
      "1939 [D loss: (0.558)(R 0.515, F 0.600)] [D acc: (0.729)(0.707, 0.750)] [G loss: 1.088] [G acc: 0.203]\n",
      "1940 [D loss: (0.600)(R 0.583, F 0.617)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.142] [G acc: 0.168]\n",
      "1941 [D loss: (0.596)(R 0.603, F 0.588)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.183] [G acc: 0.145]\n",
      "1942 [D loss: (0.610)(R 0.610, F 0.609)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.103] [G acc: 0.164]\n",
      "1943 [D loss: (0.566)(R 0.576, F 0.556)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.224] [G acc: 0.094]\n",
      "1944 [D loss: (0.575)(R 0.597, F 0.552)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.258] [G acc: 0.078]\n",
      "1945 [D loss: (0.592)(R 0.574, F 0.611)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.188] [G acc: 0.160]\n",
      "1946 [D loss: (0.544)(R 0.577, F 0.511)] [D acc: (0.727)(0.645, 0.809)] [G loss: 1.201] [G acc: 0.113]\n",
      "1947 [D loss: (0.587)(R 0.594, F 0.580)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.167] [G acc: 0.168]\n",
      "1948 [D loss: (0.625)(R 0.604, F 0.646)] [D acc: (0.637)(0.613, 0.660)] [G loss: 1.124] [G acc: 0.168]\n",
      "1949 [D loss: (0.606)(R 0.611, F 0.601)] [D acc: (0.672)(0.605, 0.738)] [G loss: 1.143] [G acc: 0.109]\n",
      "1950 [D loss: (0.601)(R 0.599, F 0.604)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.141] [G acc: 0.160]\n",
      "1951 [D loss: (0.604)(R 0.608, F 0.599)] [D acc: (0.664)(0.613, 0.715)] [G loss: 1.091] [G acc: 0.172]\n",
      "1952 [D loss: (0.587)(R 0.605, F 0.569)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.134] [G acc: 0.125]\n",
      "1953 [D loss: (0.586)(R 0.571, F 0.602)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.120] [G acc: 0.160]\n",
      "1954 [D loss: (0.579)(R 0.535, F 0.622)] [D acc: (0.684)(0.668, 0.699)] [G loss: 1.113] [G acc: 0.105]\n",
      "1955 [D loss: (0.577)(R 0.557, F 0.597)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.124] [G acc: 0.133]\n",
      "1956 [D loss: (0.606)(R 0.597, F 0.614)] [D acc: (0.658)(0.605, 0.711)] [G loss: 1.284] [G acc: 0.121]\n",
      "1957 [D loss: (0.550)(R 0.606, F 0.495)] [D acc: (0.721)(0.613, 0.828)] [G loss: 1.234] [G acc: 0.133]\n",
      "1958 [D loss: (0.587)(R 0.555, F 0.618)] [D acc: (0.678)(0.676, 0.680)] [G loss: 1.146] [G acc: 0.184]\n",
      "1959 [D loss: (0.558)(R 0.554, F 0.561)] [D acc: (0.709)(0.676, 0.742)] [G loss: 1.190] [G acc: 0.121]\n",
      "1960 [D loss: (0.604)(R 0.606, F 0.601)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.202] [G acc: 0.141]\n",
      "1961 [D loss: (0.625)(R 0.633, F 0.618)] [D acc: (0.662)(0.621, 0.703)] [G loss: 1.136] [G acc: 0.176]\n",
      "1962 [D loss: (0.565)(R 0.569, F 0.561)] [D acc: (0.693)(0.629, 0.758)] [G loss: 1.135] [G acc: 0.160]\n",
      "1963 [D loss: (0.536)(R 0.545, F 0.526)] [D acc: (0.715)(0.656, 0.773)] [G loss: 1.160] [G acc: 0.117]\n",
      "1964 [D loss: (0.612)(R 0.617, F 0.607)] [D acc: (0.658)(0.621, 0.695)] [G loss: 1.186] [G acc: 0.117]\n",
      "1965 [D loss: (0.601)(R 0.631, F 0.570)] [D acc: (0.666)(0.574, 0.758)] [G loss: 1.161] [G acc: 0.133]\n",
      "1966 [D loss: (0.601)(R 0.578, F 0.623)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.198] [G acc: 0.156]\n",
      "1967 [D loss: (0.546)(R 0.565, F 0.527)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.284] [G acc: 0.074]\n",
      "1968 [D loss: (0.569)(R 0.544, F 0.593)] [D acc: (0.709)(0.664, 0.754)] [G loss: 1.161] [G acc: 0.141]\n",
      "1969 [D loss: (0.591)(R 0.613, F 0.569)] [D acc: (0.676)(0.594, 0.758)] [G loss: 1.122] [G acc: 0.117]\n",
      "1970 [D loss: (0.595)(R 0.553, F 0.638)] [D acc: (0.662)(0.637, 0.688)] [G loss: 1.200] [G acc: 0.125]\n",
      "1971 [D loss: (0.586)(R 0.625, F 0.548)] [D acc: (0.684)(0.582, 0.785)] [G loss: 1.233] [G acc: 0.082]\n",
      "1972 [D loss: (0.587)(R 0.606, F 0.569)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.128] [G acc: 0.152]\n",
      "1973 [D loss: (0.583)(R 0.535, F 0.632)] [D acc: (0.695)(0.676, 0.715)] [G loss: 1.131] [G acc: 0.109]\n",
      "1974 [D loss: (0.565)(R 0.585, F 0.544)] [D acc: (0.686)(0.621, 0.750)] [G loss: 1.152] [G acc: 0.145]\n",
      "1975 [D loss: (0.558)(R 0.551, F 0.564)] [D acc: (0.719)(0.645, 0.793)] [G loss: 1.179] [G acc: 0.152]\n",
      "1976 [D loss: (0.586)(R 0.601, F 0.572)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.247] [G acc: 0.125]\n",
      "1977 [D loss: (0.561)(R 0.612, F 0.509)] [D acc: (0.707)(0.605, 0.809)] [G loss: 1.183] [G acc: 0.133]\n",
      "1978 [D loss: (0.557)(R 0.506, F 0.608)] [D acc: (0.715)(0.676, 0.754)] [G loss: 1.148] [G acc: 0.160]\n",
      "1979 [D loss: (0.572)(R 0.590, F 0.555)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.216] [G acc: 0.125]\n",
      "1980 [D loss: (0.622)(R 0.608, F 0.636)] [D acc: (0.652)(0.602, 0.703)] [G loss: 1.242] [G acc: 0.133]\n",
      "1981 [D loss: (0.564)(R 0.564, F 0.563)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.308] [G acc: 0.082]\n",
      "1982 [D loss: (0.584)(R 0.640, F 0.529)] [D acc: (0.701)(0.582, 0.820)] [G loss: 1.121] [G acc: 0.172]\n",
      "1983 [D loss: (0.580)(R 0.552, F 0.607)] [D acc: (0.719)(0.664, 0.773)] [G loss: 1.122] [G acc: 0.172]\n",
      "1984 [D loss: (0.594)(R 0.571, F 0.617)] [D acc: (0.678)(0.656, 0.699)] [G loss: 1.103] [G acc: 0.207]\n",
      "1985 [D loss: (0.599)(R 0.599, F 0.599)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.103] [G acc: 0.152]\n",
      "1986 [D loss: (0.609)(R 0.589, F 0.629)] [D acc: (0.654)(0.625, 0.684)] [G loss: 1.191] [G acc: 0.145]\n",
      "1987 [D loss: (0.563)(R 0.617, F 0.508)] [D acc: (0.703)(0.598, 0.809)] [G loss: 1.223] [G acc: 0.125]\n",
      "1988 [D loss: (0.593)(R 0.582, F 0.604)] [D acc: (0.666)(0.633, 0.699)] [G loss: 1.173] [G acc: 0.113]\n",
      "1989 [D loss: (0.561)(R 0.564, F 0.557)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.161] [G acc: 0.176]\n",
      "1990 [D loss: (0.601)(R 0.509, F 0.692)] [D acc: (0.664)(0.695, 0.633)] [G loss: 1.194] [G acc: 0.156]\n",
      "1991 [D loss: (0.588)(R 0.646, F 0.530)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.175] [G acc: 0.109]\n",
      "1992 [D loss: (0.602)(R 0.580, F 0.625)] [D acc: (0.656)(0.602, 0.711)] [G loss: 1.224] [G acc: 0.121]\n",
      "1993 [D loss: (0.575)(R 0.591, F 0.560)] [D acc: (0.715)(0.637, 0.793)] [G loss: 1.151] [G acc: 0.137]\n",
      "1994 [D loss: (0.605)(R 0.561, F 0.648)] [D acc: (0.676)(0.664, 0.688)] [G loss: 1.154] [G acc: 0.113]\n",
      "1995 [D loss: (0.562)(R 0.590, F 0.533)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.309] [G acc: 0.113]\n",
      "1996 [D loss: (0.527)(R 0.563, F 0.491)] [D acc: (0.746)(0.660, 0.832)] [G loss: 1.339] [G acc: 0.086]\n",
      "1997 [D loss: (0.584)(R 0.594, F 0.573)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.178] [G acc: 0.133]\n",
      "1998 [D loss: (0.622)(R 0.617, F 0.627)] [D acc: (0.654)(0.629, 0.680)] [G loss: 1.125] [G acc: 0.145]\n",
      "1999 [D loss: (0.610)(R 0.619, F 0.602)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.148] [G acc: 0.148]\n",
      "2000 [D loss: (0.570)(R 0.573, F 0.568)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.141] [G acc: 0.141]\n",
      "2001 [D loss: (0.619)(R 0.630, F 0.607)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.134] [G acc: 0.137]\n",
      "2002 [D loss: (0.567)(R 0.602, F 0.533)] [D acc: (0.701)(0.602, 0.801)] [G loss: 1.176] [G acc: 0.125]\n",
      "2003 [D loss: (0.629)(R 0.618, F 0.639)] [D acc: (0.652)(0.574, 0.730)] [G loss: 1.237] [G acc: 0.129]\n",
      "2004 [D loss: (0.565)(R 0.545, F 0.584)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.146] [G acc: 0.145]\n",
      "2005 [D loss: (0.590)(R 0.601, F 0.579)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.216] [G acc: 0.145]\n",
      "2006 [D loss: (0.571)(R 0.610, F 0.532)] [D acc: (0.701)(0.594, 0.809)] [G loss: 1.201] [G acc: 0.121]\n",
      "2007 [D loss: (0.566)(R 0.546, F 0.586)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.196] [G acc: 0.109]\n",
      "2008 [D loss: (0.590)(R 0.596, F 0.585)] [D acc: (0.664)(0.602, 0.727)] [G loss: 1.208] [G acc: 0.105]\n",
      "2009 [D loss: (0.608)(R 0.662, F 0.553)] [D acc: (0.664)(0.551, 0.777)] [G loss: 1.178] [G acc: 0.145]\n",
      "2010 [D loss: (0.559)(R 0.575, F 0.542)] [D acc: (0.715)(0.664, 0.766)] [G loss: 1.097] [G acc: 0.164]\n",
      "2011 [D loss: (0.616)(R 0.618, F 0.614)] [D acc: (0.656)(0.578, 0.734)] [G loss: 1.086] [G acc: 0.180]\n",
      "2012 [D loss: (0.568)(R 0.551, F 0.585)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.124] [G acc: 0.141]\n",
      "2013 [D loss: (0.565)(R 0.538, F 0.593)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.112] [G acc: 0.156]\n",
      "2014 [D loss: (0.592)(R 0.594, F 0.591)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.174] [G acc: 0.137]\n",
      "2015 [D loss: (0.520)(R 0.503, F 0.537)] [D acc: (0.740)(0.695, 0.785)] [G loss: 1.172] [G acc: 0.137]\n",
      "2016 [D loss: (0.577)(R 0.572, F 0.582)] [D acc: (0.695)(0.652, 0.738)] [G loss: 1.248] [G acc: 0.105]\n",
      "2017 [D loss: (0.599)(R 0.594, F 0.605)] [D acc: (0.648)(0.605, 0.691)] [G loss: 1.155] [G acc: 0.156]\n",
      "2018 [D loss: (0.584)(R 0.554, F 0.613)] [D acc: (0.676)(0.645, 0.707)] [G loss: 1.144] [G acc: 0.172]\n",
      "2019 [D loss: (0.550)(R 0.579, F 0.521)] [D acc: (0.705)(0.621, 0.789)] [G loss: 1.249] [G acc: 0.098]\n",
      "2020 [D loss: (0.588)(R 0.585, F 0.591)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.182] [G acc: 0.137]\n",
      "2021 [D loss: (0.567)(R 0.571, F 0.563)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.124] [G acc: 0.211]\n",
      "2022 [D loss: (0.564)(R 0.558, F 0.571)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.242] [G acc: 0.121]\n",
      "2023 [D loss: (0.610)(R 0.601, F 0.619)] [D acc: (0.664)(0.605, 0.723)] [G loss: 1.226] [G acc: 0.121]\n",
      "2024 [D loss: (0.603)(R 0.611, F 0.596)] [D acc: (0.645)(0.566, 0.723)] [G loss: 1.204] [G acc: 0.098]\n",
      "2025 [D loss: (0.575)(R 0.606, F 0.545)] [D acc: (0.688)(0.594, 0.781)] [G loss: 1.176] [G acc: 0.117]\n",
      "2026 [D loss: (0.616)(R 0.643, F 0.590)] [D acc: (0.654)(0.586, 0.723)] [G loss: 1.095] [G acc: 0.168]\n",
      "2027 [D loss: (0.625)(R 0.588, F 0.661)] [D acc: (0.646)(0.625, 0.668)] [G loss: 1.165] [G acc: 0.125]\n",
      "2028 [D loss: (0.596)(R 0.609, F 0.583)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.200] [G acc: 0.125]\n",
      "2029 [D loss: (0.601)(R 0.597, F 0.604)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.144] [G acc: 0.145]\n",
      "2030 [D loss: (0.584)(R 0.594, F 0.575)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.148] [G acc: 0.137]\n",
      "2031 [D loss: (0.545)(R 0.565, F 0.525)] [D acc: (0.721)(0.656, 0.785)] [G loss: 1.214] [G acc: 0.156]\n",
      "2032 [D loss: (0.626)(R 0.599, F 0.653)] [D acc: (0.656)(0.629, 0.684)] [G loss: 1.143] [G acc: 0.109]\n",
      "2033 [D loss: (0.600)(R 0.588, F 0.611)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.166] [G acc: 0.141]\n",
      "2034 [D loss: (0.595)(R 0.608, F 0.581)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.126] [G acc: 0.156]\n",
      "2035 [D loss: (0.568)(R 0.571, F 0.564)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.197] [G acc: 0.152]\n",
      "2036 [D loss: (0.579)(R 0.600, F 0.557)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.200] [G acc: 0.090]\n",
      "2037 [D loss: (0.588)(R 0.634, F 0.541)] [D acc: (0.680)(0.574, 0.785)] [G loss: 1.146] [G acc: 0.188]\n",
      "2038 [D loss: (0.604)(R 0.587, F 0.620)] [D acc: (0.684)(0.652, 0.715)] [G loss: 1.138] [G acc: 0.156]\n",
      "2039 [D loss: (0.587)(R 0.579, F 0.596)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.100] [G acc: 0.156]\n",
      "2040 [D loss: (0.580)(R 0.613, F 0.548)] [D acc: (0.709)(0.629, 0.789)] [G loss: 1.163] [G acc: 0.141]\n",
      "2041 [D loss: (0.606)(R 0.576, F 0.637)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.122] [G acc: 0.160]\n",
      "2042 [D loss: (0.571)(R 0.569, F 0.572)] [D acc: (0.676)(0.633, 0.719)] [G loss: 1.132] [G acc: 0.148]\n",
      "2043 [D loss: (0.583)(R 0.604, F 0.563)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.211] [G acc: 0.113]\n",
      "2044 [D loss: (0.568)(R 0.501, F 0.634)] [D acc: (0.674)(0.688, 0.660)] [G loss: 1.171] [G acc: 0.164]\n",
      "2045 [D loss: (0.554)(R 0.591, F 0.517)] [D acc: (0.727)(0.633, 0.820)] [G loss: 1.245] [G acc: 0.148]\n",
      "2046 [D loss: (0.571)(R 0.601, F 0.542)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.163] [G acc: 0.191]\n",
      "2047 [D loss: (0.575)(R 0.513, F 0.637)] [D acc: (0.691)(0.688, 0.695)] [G loss: 1.205] [G acc: 0.137]\n",
      "2048 [D loss: (0.565)(R 0.584, F 0.546)] [D acc: (0.713)(0.645, 0.781)] [G loss: 1.225] [G acc: 0.145]\n",
      "2049 [D loss: (0.567)(R 0.572, F 0.563)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.215] [G acc: 0.137]\n",
      "2050 [D loss: (0.611)(R 0.590, F 0.632)] [D acc: (0.652)(0.633, 0.672)] [G loss: 1.190] [G acc: 0.168]\n",
      "2051 [D loss: (0.563)(R 0.577, F 0.549)] [D acc: (0.719)(0.656, 0.781)] [G loss: 1.246] [G acc: 0.133]\n",
      "2052 [D loss: (0.603)(R 0.599, F 0.606)] [D acc: (0.641)(0.598, 0.684)] [G loss: 1.198] [G acc: 0.156]\n",
      "2053 [D loss: (0.586)(R 0.567, F 0.605)] [D acc: (0.701)(0.672, 0.730)] [G loss: 1.157] [G acc: 0.113]\n",
      "2054 [D loss: (0.607)(R 0.572, F 0.642)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.270] [G acc: 0.129]\n",
      "2055 [D loss: (0.584)(R 0.637, F 0.531)] [D acc: (0.682)(0.570, 0.793)] [G loss: 1.180] [G acc: 0.133]\n",
      "2056 [D loss: (0.578)(R 0.580, F 0.577)] [D acc: (0.662)(0.625, 0.699)] [G loss: 1.176] [G acc: 0.152]\n",
      "2057 [D loss: (0.598)(R 0.594, F 0.602)] [D acc: (0.678)(0.648, 0.707)] [G loss: 1.124] [G acc: 0.160]\n",
      "2058 [D loss: (0.566)(R 0.554, F 0.578)] [D acc: (0.713)(0.684, 0.742)] [G loss: 1.139] [G acc: 0.188]\n",
      "2059 [D loss: (0.602)(R 0.593, F 0.611)] [D acc: (0.691)(0.668, 0.715)] [G loss: 1.259] [G acc: 0.121]\n",
      "2060 [D loss: (0.615)(R 0.611, F 0.618)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.226] [G acc: 0.121]\n",
      "2061 [D loss: (0.584)(R 0.599, F 0.569)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.197] [G acc: 0.160]\n",
      "2062 [D loss: (0.542)(R 0.551, F 0.533)] [D acc: (0.732)(0.672, 0.793)] [G loss: 1.241] [G acc: 0.105]\n",
      "2063 [D loss: (0.609)(R 0.611, F 0.607)] [D acc: (0.645)(0.598, 0.691)] [G loss: 1.212] [G acc: 0.148]\n",
      "2064 [D loss: (0.566)(R 0.556, F 0.576)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.229] [G acc: 0.117]\n",
      "2065 [D loss: (0.604)(R 0.624, F 0.584)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.234] [G acc: 0.125]\n",
      "2066 [D loss: (0.593)(R 0.641, F 0.544)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.246] [G acc: 0.078]\n",
      "2067 [D loss: (0.592)(R 0.571, F 0.613)] [D acc: (0.676)(0.633, 0.719)] [G loss: 1.146] [G acc: 0.121]\n",
      "2068 [D loss: (0.587)(R 0.571, F 0.603)] [D acc: (0.680)(0.648, 0.711)] [G loss: 1.264] [G acc: 0.148]\n",
      "2069 [D loss: (0.567)(R 0.577, F 0.558)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.197] [G acc: 0.125]\n",
      "2070 [D loss: (0.596)(R 0.594, F 0.598)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.135] [G acc: 0.145]\n",
      "2071 [D loss: (0.571)(R 0.567, F 0.574)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.183] [G acc: 0.156]\n",
      "2072 [D loss: (0.587)(R 0.556, F 0.618)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.205] [G acc: 0.117]\n",
      "2073 [D loss: (0.587)(R 0.621, F 0.552)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.164] [G acc: 0.164]\n",
      "2074 [D loss: (0.636)(R 0.589, F 0.682)] [D acc: (0.654)(0.637, 0.672)] [G loss: 1.185] [G acc: 0.137]\n",
      "2075 [D loss: (0.603)(R 0.660, F 0.546)] [D acc: (0.688)(0.586, 0.789)] [G loss: 1.142] [G acc: 0.141]\n",
      "2076 [D loss: (0.575)(R 0.553, F 0.597)] [D acc: (0.697)(0.668, 0.727)] [G loss: 1.162] [G acc: 0.156]\n",
      "2077 [D loss: (0.577)(R 0.561, F 0.593)] [D acc: (0.672)(0.629, 0.715)] [G loss: 1.220] [G acc: 0.129]\n",
      "2078 [D loss: (0.602)(R 0.653, F 0.550)] [D acc: (0.643)(0.516, 0.770)] [G loss: 1.136] [G acc: 0.133]\n",
      "2079 [D loss: (0.574)(R 0.577, F 0.571)] [D acc: (0.678)(0.637, 0.719)] [G loss: 1.186] [G acc: 0.137]\n",
      "2080 [D loss: (0.589)(R 0.617, F 0.562)] [D acc: (0.680)(0.590, 0.770)] [G loss: 1.182] [G acc: 0.117]\n",
      "2081 [D loss: (0.576)(R 0.571, F 0.581)] [D acc: (0.699)(0.660, 0.738)] [G loss: 1.121] [G acc: 0.215]\n",
      "2082 [D loss: (0.572)(R 0.594, F 0.549)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.215] [G acc: 0.121]\n",
      "2083 [D loss: (0.574)(R 0.568, F 0.580)] [D acc: (0.697)(0.645, 0.750)] [G loss: 1.225] [G acc: 0.086]\n",
      "2084 [D loss: (0.544)(R 0.581, F 0.507)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.244] [G acc: 0.129]\n",
      "2085 [D loss: (0.583)(R 0.572, F 0.594)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.095] [G acc: 0.184]\n",
      "2086 [D loss: (0.621)(R 0.615, F 0.626)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.212] [G acc: 0.102]\n",
      "2087 [D loss: (0.698)(R 0.787, F 0.609)] [D acc: (0.596)(0.465, 0.727)] [G loss: 1.074] [G acc: 0.148]\n",
      "2088 [D loss: (0.598)(R 0.549, F 0.647)] [D acc: (0.670)(0.648, 0.691)] [G loss: 1.114] [G acc: 0.156]\n",
      "2089 [D loss: (0.595)(R 0.583, F 0.606)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.118] [G acc: 0.145]\n",
      "2090 [D loss: (0.583)(R 0.592, F 0.574)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.069] [G acc: 0.141]\n",
      "2091 [D loss: (0.580)(R 0.563, F 0.598)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.105] [G acc: 0.164]\n",
      "2092 [D loss: (0.605)(R 0.611, F 0.600)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.139] [G acc: 0.145]\n",
      "2093 [D loss: (0.583)(R 0.595, F 0.571)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.142] [G acc: 0.137]\n",
      "2094 [D loss: (0.605)(R 0.646, F 0.564)] [D acc: (0.672)(0.547, 0.797)] [G loss: 1.168] [G acc: 0.160]\n",
      "2095 [D loss: (0.613)(R 0.579, F 0.647)] [D acc: (0.645)(0.613, 0.676)] [G loss: 1.179] [G acc: 0.098]\n",
      "2096 [D loss: (0.572)(R 0.607, F 0.536)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.175] [G acc: 0.129]\n",
      "2097 [D loss: (0.580)(R 0.570, F 0.590)] [D acc: (0.674)(0.637, 0.711)] [G loss: 1.170] [G acc: 0.121]\n",
      "2098 [D loss: (0.590)(R 0.595, F 0.586)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.155] [G acc: 0.074]\n",
      "2099 [D loss: (0.590)(R 0.629, F 0.551)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.209] [G acc: 0.164]\n",
      "2100 [D loss: (0.589)(R 0.596, F 0.581)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.188] [G acc: 0.129]\n",
      "2101 [D loss: (0.583)(R 0.583, F 0.584)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.181] [G acc: 0.172]\n",
      "2102 [D loss: (0.564)(R 0.591, F 0.538)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.159] [G acc: 0.152]\n",
      "2103 [D loss: (0.584)(R 0.579, F 0.588)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.155] [G acc: 0.164]\n",
      "2104 [D loss: (0.606)(R 0.639, F 0.572)] [D acc: (0.658)(0.594, 0.723)] [G loss: 1.191] [G acc: 0.125]\n",
      "2105 [D loss: (0.592)(R 0.576, F 0.609)] [D acc: (0.666)(0.637, 0.695)] [G loss: 1.164] [G acc: 0.184]\n",
      "2106 [D loss: (0.564)(R 0.581, F 0.547)] [D acc: (0.688)(0.594, 0.781)] [G loss: 1.352] [G acc: 0.094]\n",
      "2107 [D loss: (0.605)(R 0.612, F 0.598)] [D acc: (0.658)(0.617, 0.699)] [G loss: 1.109] [G acc: 0.176]\n",
      "2108 [D loss: (0.593)(R 0.520, F 0.666)] [D acc: (0.680)(0.691, 0.668)] [G loss: 1.193] [G acc: 0.137]\n",
      "2109 [D loss: (0.632)(R 0.668, F 0.596)] [D acc: (0.643)(0.562, 0.723)] [G loss: 1.132] [G acc: 0.141]\n",
      "2110 [D loss: (0.585)(R 0.571, F 0.599)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.143] [G acc: 0.125]\n",
      "2111 [D loss: (0.560)(R 0.542, F 0.579)] [D acc: (0.715)(0.668, 0.762)] [G loss: 1.266] [G acc: 0.109]\n",
      "2112 [D loss: (0.532)(R 0.549, F 0.515)] [D acc: (0.730)(0.652, 0.809)] [G loss: 1.212] [G acc: 0.125]\n",
      "2113 [D loss: (0.619)(R 0.575, F 0.664)] [D acc: (0.672)(0.645, 0.699)] [G loss: 1.122] [G acc: 0.156]\n",
      "2114 [D loss: (0.563)(R 0.564, F 0.563)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.216] [G acc: 0.141]\n",
      "2115 [D loss: (0.591)(R 0.605, F 0.577)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.256] [G acc: 0.141]\n",
      "2116 [D loss: (0.577)(R 0.626, F 0.528)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.209] [G acc: 0.133]\n",
      "2117 [D loss: (0.583)(R 0.568, F 0.598)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.099] [G acc: 0.180]\n",
      "2118 [D loss: (0.565)(R 0.564, F 0.566)] [D acc: (0.715)(0.652, 0.777)] [G loss: 1.103] [G acc: 0.215]\n",
      "2119 [D loss: (0.561)(R 0.528, F 0.594)] [D acc: (0.707)(0.711, 0.703)] [G loss: 1.211] [G acc: 0.141]\n",
      "2120 [D loss: (0.543)(R 0.557, F 0.529)] [D acc: (0.730)(0.684, 0.777)] [G loss: 1.253] [G acc: 0.156]\n",
      "2121 [D loss: (0.568)(R 0.571, F 0.564)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.254] [G acc: 0.129]\n",
      "2122 [D loss: (0.614)(R 0.615, F 0.614)] [D acc: (0.646)(0.570, 0.723)] [G loss: 1.282] [G acc: 0.156]\n",
      "2123 [D loss: (0.611)(R 0.621, F 0.601)] [D acc: (0.672)(0.602, 0.742)] [G loss: 1.248] [G acc: 0.105]\n",
      "2124 [D loss: (0.559)(R 0.519, F 0.600)] [D acc: (0.689)(0.691, 0.688)] [G loss: 1.173] [G acc: 0.137]\n",
      "2125 [D loss: (0.589)(R 0.621, F 0.558)] [D acc: (0.664)(0.562, 0.766)] [G loss: 1.156] [G acc: 0.160]\n",
      "2126 [D loss: (0.604)(R 0.583, F 0.625)] [D acc: (0.664)(0.629, 0.699)] [G loss: 1.173] [G acc: 0.148]\n",
      "2127 [D loss: (0.620)(R 0.626, F 0.614)] [D acc: (0.645)(0.598, 0.691)] [G loss: 1.141] [G acc: 0.172]\n",
      "2128 [D loss: (0.595)(R 0.613, F 0.576)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.065] [G acc: 0.188]\n",
      "2129 [D loss: (0.541)(R 0.521, F 0.560)] [D acc: (0.719)(0.684, 0.754)] [G loss: 1.167] [G acc: 0.156]\n",
      "2130 [D loss: (0.572)(R 0.575, F 0.569)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.141] [G acc: 0.152]\n",
      "2131 [D loss: (0.578)(R 0.545, F 0.611)] [D acc: (0.689)(0.656, 0.723)] [G loss: 1.112] [G acc: 0.188]\n",
      "2132 [D loss: (0.594)(R 0.575, F 0.614)] [D acc: (0.701)(0.684, 0.719)] [G loss: 1.169] [G acc: 0.160]\n",
      "2133 [D loss: (0.574)(R 0.606, F 0.541)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.212] [G acc: 0.125]\n",
      "2134 [D loss: (0.604)(R 0.588, F 0.621)] [D acc: (0.645)(0.621, 0.668)] [G loss: 1.110] [G acc: 0.113]\n",
      "2135 [D loss: (0.638)(R 0.628, F 0.648)] [D acc: (0.637)(0.582, 0.691)] [G loss: 1.140] [G acc: 0.105]\n",
      "2136 [D loss: (0.576)(R 0.598, F 0.555)] [D acc: (0.697)(0.645, 0.750)] [G loss: 1.088] [G acc: 0.141]\n",
      "2137 [D loss: (0.558)(R 0.573, F 0.543)] [D acc: (0.717)(0.629, 0.805)] [G loss: 1.200] [G acc: 0.137]\n",
      "2138 [D loss: (0.585)(R 0.595, F 0.575)] [D acc: (0.709)(0.660, 0.758)] [G loss: 1.191] [G acc: 0.141]\n",
      "2139 [D loss: (0.588)(R 0.574, F 0.603)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.177] [G acc: 0.164]\n",
      "2140 [D loss: (0.588)(R 0.616, F 0.560)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.167] [G acc: 0.145]\n",
      "2141 [D loss: (0.560)(R 0.587, F 0.532)] [D acc: (0.703)(0.641, 0.766)] [G loss: 1.200] [G acc: 0.164]\n",
      "2142 [D loss: (0.567)(R 0.610, F 0.525)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.227] [G acc: 0.117]\n",
      "2143 [D loss: (0.631)(R 0.630, F 0.632)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.153] [G acc: 0.152]\n",
      "2144 [D loss: (0.566)(R 0.545, F 0.588)] [D acc: (0.717)(0.695, 0.738)] [G loss: 1.106] [G acc: 0.176]\n",
      "2145 [D loss: (0.593)(R 0.587, F 0.598)] [D acc: (0.660)(0.613, 0.707)] [G loss: 1.141] [G acc: 0.195]\n",
      "2146 [D loss: (0.575)(R 0.593, F 0.556)] [D acc: (0.686)(0.586, 0.785)] [G loss: 1.184] [G acc: 0.141]\n",
      "2147 [D loss: (0.609)(R 0.592, F 0.627)] [D acc: (0.668)(0.613, 0.723)] [G loss: 1.144] [G acc: 0.164]\n",
      "2148 [D loss: (0.579)(R 0.600, F 0.558)] [D acc: (0.682)(0.613, 0.750)] [G loss: 1.082] [G acc: 0.219]\n",
      "2149 [D loss: (0.599)(R 0.589, F 0.609)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.135] [G acc: 0.195]\n",
      "2150 [D loss: (0.607)(R 0.637, F 0.578)] [D acc: (0.654)(0.582, 0.727)] [G loss: 1.221] [G acc: 0.121]\n",
      "2151 [D loss: (0.592)(R 0.612, F 0.571)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.115] [G acc: 0.188]\n",
      "2152 [D loss: (0.601)(R 0.613, F 0.590)] [D acc: (0.633)(0.570, 0.695)] [G loss: 1.119] [G acc: 0.180]\n",
      "2153 [D loss: (0.610)(R 0.556, F 0.664)] [D acc: (0.635)(0.637, 0.633)] [G loss: 1.152] [G acc: 0.164]\n",
      "2154 [D loss: (0.536)(R 0.550, F 0.522)] [D acc: (0.756)(0.699, 0.812)] [G loss: 1.210] [G acc: 0.117]\n",
      "2155 [D loss: (0.577)(R 0.600, F 0.553)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.118] [G acc: 0.156]\n",
      "2156 [D loss: (0.586)(R 0.565, F 0.607)] [D acc: (0.686)(0.641, 0.730)] [G loss: 1.137] [G acc: 0.137]\n",
      "2157 [D loss: (0.656)(R 0.689, F 0.623)] [D acc: (0.605)(0.523, 0.688)] [G loss: 1.041] [G acc: 0.211]\n",
      "2158 [D loss: (0.587)(R 0.559, F 0.614)] [D acc: (0.670)(0.680, 0.660)] [G loss: 1.176] [G acc: 0.172]\n",
      "2159 [D loss: (0.591)(R 0.634, F 0.547)] [D acc: (0.701)(0.590, 0.812)] [G loss: 1.166] [G acc: 0.117]\n",
      "2160 [D loss: (0.597)(R 0.585, F 0.610)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.045] [G acc: 0.168]\n",
      "2161 [D loss: (0.597)(R 0.572, F 0.623)] [D acc: (0.643)(0.621, 0.664)] [G loss: 1.067] [G acc: 0.164]\n",
      "2162 [D loss: (0.618)(R 0.605, F 0.631)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.091] [G acc: 0.152]\n",
      "2163 [D loss: (0.576)(R 0.564, F 0.588)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.185] [G acc: 0.141]\n",
      "2164 [D loss: (0.538)(R 0.528, F 0.549)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.175] [G acc: 0.109]\n",
      "2165 [D loss: (0.584)(R 0.580, F 0.588)] [D acc: (0.705)(0.625, 0.785)] [G loss: 1.122] [G acc: 0.168]\n",
      "2166 [D loss: (0.551)(R 0.543, F 0.559)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.196] [G acc: 0.141]\n",
      "2167 [D loss: (0.604)(R 0.617, F 0.590)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.137] [G acc: 0.156]\n",
      "2168 [D loss: (0.572)(R 0.531, F 0.613)] [D acc: (0.678)(0.672, 0.684)] [G loss: 1.202] [G acc: 0.164]\n",
      "2169 [D loss: (0.642)(R 0.661, F 0.624)] [D acc: (0.629)(0.570, 0.688)] [G loss: 1.160] [G acc: 0.141]\n",
      "2170 [D loss: (0.592)(R 0.603, F 0.580)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.096] [G acc: 0.180]\n",
      "2171 [D loss: (0.585)(R 0.615, F 0.556)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.101] [G acc: 0.195]\n",
      "2172 [D loss: (0.636)(R 0.637, F 0.634)] [D acc: (0.646)(0.566, 0.727)] [G loss: 1.100] [G acc: 0.180]\n",
      "2173 [D loss: (0.574)(R 0.563, F 0.585)] [D acc: (0.721)(0.688, 0.754)] [G loss: 1.161] [G acc: 0.121]\n",
      "2174 [D loss: (0.590)(R 0.545, F 0.636)] [D acc: (0.660)(0.617, 0.703)] [G loss: 1.126] [G acc: 0.148]\n",
      "2175 [D loss: (0.578)(R 0.582, F 0.575)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.172] [G acc: 0.152]\n",
      "2176 [D loss: (0.589)(R 0.591, F 0.586)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.208] [G acc: 0.113]\n",
      "2177 [D loss: (0.578)(R 0.597, F 0.559)] [D acc: (0.703)(0.617, 0.789)] [G loss: 1.179] [G acc: 0.094]\n",
      "2178 [D loss: (0.580)(R 0.616, F 0.544)] [D acc: (0.707)(0.613, 0.801)] [G loss: 1.129] [G acc: 0.133]\n",
      "2179 [D loss: (0.580)(R 0.559, F 0.602)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.113] [G acc: 0.188]\n",
      "2180 [D loss: (0.613)(R 0.593, F 0.633)] [D acc: (0.662)(0.617, 0.707)] [G loss: 1.210] [G acc: 0.156]\n",
      "2181 [D loss: (0.599)(R 0.613, F 0.584)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.142] [G acc: 0.129]\n",
      "2182 [D loss: (0.563)(R 0.546, F 0.580)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.171] [G acc: 0.176]\n",
      "2183 [D loss: (0.590)(R 0.619, F 0.561)] [D acc: (0.666)(0.586, 0.746)] [G loss: 1.160] [G acc: 0.137]\n",
      "2184 [D loss: (0.625)(R 0.652, F 0.597)] [D acc: (0.635)(0.523, 0.746)] [G loss: 1.173] [G acc: 0.113]\n",
      "2185 [D loss: (0.553)(R 0.563, F 0.543)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.180] [G acc: 0.148]\n",
      "2186 [D loss: (0.586)(R 0.597, F 0.575)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.213] [G acc: 0.074]\n",
      "2187 [D loss: (0.658)(R 0.639, F 0.676)] [D acc: (0.635)(0.570, 0.699)] [G loss: 1.131] [G acc: 0.156]\n",
      "2188 [D loss: (0.587)(R 0.576, F 0.598)] [D acc: (0.666)(0.598, 0.734)] [G loss: 1.169] [G acc: 0.094]\n",
      "2189 [D loss: (0.607)(R 0.635, F 0.579)] [D acc: (0.666)(0.578, 0.754)] [G loss: 1.129] [G acc: 0.160]\n",
      "2190 [D loss: (0.572)(R 0.562, F 0.582)] [D acc: (0.711)(0.664, 0.758)] [G loss: 1.168] [G acc: 0.113]\n",
      "2191 [D loss: (0.567)(R 0.547, F 0.587)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.163] [G acc: 0.199]\n",
      "2192 [D loss: (0.579)(R 0.596, F 0.562)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.227] [G acc: 0.117]\n",
      "2193 [D loss: (0.592)(R 0.611, F 0.573)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.235] [G acc: 0.141]\n",
      "2194 [D loss: (0.579)(R 0.580, F 0.579)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.145] [G acc: 0.164]\n",
      "2195 [D loss: (0.539)(R 0.519, F 0.559)] [D acc: (0.713)(0.695, 0.730)] [G loss: 1.225] [G acc: 0.137]\n",
      "2196 [D loss: (0.634)(R 0.645, F 0.624)] [D acc: (0.611)(0.547, 0.676)] [G loss: 1.179] [G acc: 0.133]\n",
      "2197 [D loss: (0.593)(R 0.637, F 0.548)] [D acc: (0.693)(0.590, 0.797)] [G loss: 1.175] [G acc: 0.129]\n",
      "2198 [D loss: (0.608)(R 0.630, F 0.585)] [D acc: (0.678)(0.598, 0.758)] [G loss: 1.168] [G acc: 0.137]\n",
      "2199 [D loss: (0.564)(R 0.617, F 0.511)] [D acc: (0.697)(0.578, 0.816)] [G loss: 1.132] [G acc: 0.164]\n",
      "2200 [D loss: (0.620)(R 0.601, F 0.640)] [D acc: (0.660)(0.633, 0.688)] [G loss: 1.085] [G acc: 0.176]\n",
      "2201 [D loss: (0.630)(R 0.635, F 0.625)] [D acc: (0.629)(0.574, 0.684)] [G loss: 1.199] [G acc: 0.129]\n",
      "2202 [D loss: (0.601)(R 0.617, F 0.586)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.085] [G acc: 0.145]\n",
      "2203 [D loss: (0.585)(R 0.579, F 0.591)] [D acc: (0.682)(0.648, 0.715)] [G loss: 1.115] [G acc: 0.188]\n",
      "2204 [D loss: (0.588)(R 0.582, F 0.595)] [D acc: (0.682)(0.613, 0.750)] [G loss: 1.110] [G acc: 0.176]\n",
      "2205 [D loss: (0.609)(R 0.636, F 0.581)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.220] [G acc: 0.180]\n",
      "2206 [D loss: (0.548)(R 0.535, F 0.560)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.215] [G acc: 0.105]\n",
      "2207 [D loss: (0.610)(R 0.593, F 0.628)] [D acc: (0.666)(0.625, 0.707)] [G loss: 1.139] [G acc: 0.148]\n",
      "2208 [D loss: (0.562)(R 0.581, F 0.543)] [D acc: (0.723)(0.656, 0.789)] [G loss: 1.193] [G acc: 0.129]\n",
      "2209 [D loss: (0.600)(R 0.605, F 0.596)] [D acc: (0.664)(0.621, 0.707)] [G loss: 1.298] [G acc: 0.098]\n",
      "2210 [D loss: (0.596)(R 0.628, F 0.564)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.208] [G acc: 0.102]\n",
      "2211 [D loss: (0.570)(R 0.580, F 0.560)] [D acc: (0.703)(0.629, 0.777)] [G loss: 1.136] [G acc: 0.160]\n",
      "2212 [D loss: (0.561)(R 0.601, F 0.521)] [D acc: (0.689)(0.574, 0.805)] [G loss: 1.163] [G acc: 0.168]\n",
      "2213 [D loss: (0.607)(R 0.552, F 0.662)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.129] [G acc: 0.180]\n",
      "2214 [D loss: (0.596)(R 0.580, F 0.613)] [D acc: (0.668)(0.660, 0.676)] [G loss: 1.088] [G acc: 0.184]\n",
      "2215 [D loss: (0.577)(R 0.574, F 0.580)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.118] [G acc: 0.121]\n",
      "2216 [D loss: (0.581)(R 0.555, F 0.606)] [D acc: (0.674)(0.637, 0.711)] [G loss: 1.106] [G acc: 0.184]\n",
      "2217 [D loss: (0.570)(R 0.545, F 0.596)] [D acc: (0.701)(0.652, 0.750)] [G loss: 1.131] [G acc: 0.176]\n",
      "2218 [D loss: (0.573)(R 0.569, F 0.577)] [D acc: (0.709)(0.668, 0.750)] [G loss: 1.120] [G acc: 0.164]\n",
      "2219 [D loss: (0.576)(R 0.564, F 0.588)] [D acc: (0.709)(0.648, 0.770)] [G loss: 1.125] [G acc: 0.121]\n",
      "2220 [D loss: (0.608)(R 0.643, F 0.572)] [D acc: (0.666)(0.566, 0.766)] [G loss: 1.160] [G acc: 0.117]\n",
      "2221 [D loss: (0.556)(R 0.579, F 0.533)] [D acc: (0.713)(0.625, 0.801)] [G loss: 1.309] [G acc: 0.109]\n",
      "2222 [D loss: (0.559)(R 0.568, F 0.550)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.213] [G acc: 0.121]\n",
      "2223 [D loss: (0.601)(R 0.555, F 0.647)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.187] [G acc: 0.160]\n",
      "2224 [D loss: (0.603)(R 0.627, F 0.579)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.199] [G acc: 0.094]\n",
      "2225 [D loss: (0.591)(R 0.583, F 0.599)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.206] [G acc: 0.152]\n",
      "2226 [D loss: (0.606)(R 0.624, F 0.589)] [D acc: (0.670)(0.602, 0.738)] [G loss: 1.181] [G acc: 0.117]\n",
      "2227 [D loss: (0.622)(R 0.598, F 0.646)] [D acc: (0.666)(0.641, 0.691)] [G loss: 1.141] [G acc: 0.156]\n",
      "2228 [D loss: (0.561)(R 0.584, F 0.539)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.116] [G acc: 0.156]\n",
      "2229 [D loss: (0.588)(R 0.579, F 0.597)] [D acc: (0.680)(0.641, 0.719)] [G loss: 1.214] [G acc: 0.098]\n",
      "2230 [D loss: (0.576)(R 0.619, F 0.533)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.195] [G acc: 0.117]\n",
      "2231 [D loss: (0.605)(R 0.573, F 0.636)] [D acc: (0.662)(0.656, 0.668)] [G loss: 1.128] [G acc: 0.137]\n",
      "2232 [D loss: (0.598)(R 0.587, F 0.610)] [D acc: (0.668)(0.637, 0.699)] [G loss: 1.243] [G acc: 0.141]\n",
      "2233 [D loss: (0.584)(R 0.588, F 0.580)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.102] [G acc: 0.156]\n",
      "2234 [D loss: (0.570)(R 0.570, F 0.571)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.108] [G acc: 0.203]\n",
      "2235 [D loss: (0.570)(R 0.587, F 0.553)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.170] [G acc: 0.125]\n",
      "2236 [D loss: (0.590)(R 0.607, F 0.573)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.122] [G acc: 0.184]\n",
      "2237 [D loss: (0.579)(R 0.565, F 0.593)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.152] [G acc: 0.141]\n",
      "2238 [D loss: (0.590)(R 0.588, F 0.592)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.137] [G acc: 0.188]\n",
      "2239 [D loss: (0.573)(R 0.521, F 0.625)] [D acc: (0.717)(0.691, 0.742)] [G loss: 1.248] [G acc: 0.109]\n",
      "2240 [D loss: (0.571)(R 0.653, F 0.489)] [D acc: (0.676)(0.516, 0.836)] [G loss: 1.149] [G acc: 0.105]\n",
      "2241 [D loss: (0.586)(R 0.583, F 0.589)] [D acc: (0.682)(0.621, 0.742)] [G loss: 1.083] [G acc: 0.145]\n",
      "2242 [D loss: (0.569)(R 0.550, F 0.588)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.138] [G acc: 0.148]\n",
      "2243 [D loss: (0.555)(R 0.544, F 0.566)] [D acc: (0.713)(0.664, 0.762)] [G loss: 1.144] [G acc: 0.145]\n",
      "2244 [D loss: (0.609)(R 0.622, F 0.597)] [D acc: (0.637)(0.578, 0.695)] [G loss: 1.125] [G acc: 0.121]\n",
      "2245 [D loss: (0.589)(R 0.589, F 0.588)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.149] [G acc: 0.121]\n",
      "2246 [D loss: (0.590)(R 0.572, F 0.608)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.148] [G acc: 0.129]\n",
      "2247 [D loss: (0.571)(R 0.566, F 0.577)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.183] [G acc: 0.125]\n",
      "2248 [D loss: (0.603)(R 0.613, F 0.593)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.167] [G acc: 0.145]\n",
      "2249 [D loss: (0.589)(R 0.593, F 0.584)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.103] [G acc: 0.152]\n",
      "2250 [D loss: (0.612)(R 0.590, F 0.634)] [D acc: (0.645)(0.613, 0.676)] [G loss: 1.153] [G acc: 0.141]\n",
      "2251 [D loss: (0.566)(R 0.594, F 0.539)] [D acc: (0.711)(0.621, 0.801)] [G loss: 1.146] [G acc: 0.152]\n",
      "2252 [D loss: (0.603)(R 0.590, F 0.616)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.168] [G acc: 0.172]\n",
      "2253 [D loss: (0.571)(R 0.596, F 0.546)] [D acc: (0.715)(0.652, 0.777)] [G loss: 1.217] [G acc: 0.141]\n",
      "2254 [D loss: (0.592)(R 0.565, F 0.619)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.179] [G acc: 0.156]\n",
      "2255 [D loss: (0.576)(R 0.589, F 0.563)] [D acc: (0.686)(0.621, 0.750)] [G loss: 1.205] [G acc: 0.160]\n",
      "2256 [D loss: (0.595)(R 0.608, F 0.583)] [D acc: (0.674)(0.613, 0.734)] [G loss: 1.110] [G acc: 0.168]\n",
      "2257 [D loss: (0.576)(R 0.598, F 0.554)] [D acc: (0.699)(0.598, 0.801)] [G loss: 1.162] [G acc: 0.152]\n",
      "2258 [D loss: (0.593)(R 0.558, F 0.627)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.136] [G acc: 0.160]\n",
      "2259 [D loss: (0.591)(R 0.613, F 0.568)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.170] [G acc: 0.172]\n",
      "2260 [D loss: (0.617)(R 0.586, F 0.649)] [D acc: (0.658)(0.625, 0.691)] [G loss: 1.125] [G acc: 0.160]\n",
      "2261 [D loss: (0.569)(R 0.571, F 0.568)] [D acc: (0.709)(0.645, 0.773)] [G loss: 1.218] [G acc: 0.121]\n",
      "2262 [D loss: (0.542)(R 0.572, F 0.512)] [D acc: (0.711)(0.641, 0.781)] [G loss: 1.225] [G acc: 0.160]\n",
      "2263 [D loss: (0.584)(R 0.580, F 0.588)] [D acc: (0.691)(0.652, 0.730)] [G loss: 1.237] [G acc: 0.117]\n",
      "2264 [D loss: (0.576)(R 0.570, F 0.582)] [D acc: (0.682)(0.652, 0.711)] [G loss: 1.168] [G acc: 0.145]\n",
      "2265 [D loss: (0.536)(R 0.507, F 0.564)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.265] [G acc: 0.094]\n",
      "2266 [D loss: (0.590)(R 0.569, F 0.612)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.232] [G acc: 0.113]\n",
      "2267 [D loss: (0.582)(R 0.615, F 0.548)] [D acc: (0.693)(0.594, 0.793)] [G loss: 1.264] [G acc: 0.109]\n",
      "2268 [D loss: (0.560)(R 0.569, F 0.551)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.180] [G acc: 0.117]\n",
      "2269 [D loss: (0.618)(R 0.563, F 0.674)] [D acc: (0.646)(0.660, 0.633)] [G loss: 1.160] [G acc: 0.141]\n",
      "2270 [D loss: (0.625)(R 0.643, F 0.608)] [D acc: (0.668)(0.582, 0.754)] [G loss: 1.161] [G acc: 0.168]\n",
      "2271 [D loss: (0.610)(R 0.644, F 0.577)] [D acc: (0.664)(0.566, 0.762)] [G loss: 1.168] [G acc: 0.133]\n",
      "2272 [D loss: (0.584)(R 0.598, F 0.570)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.166] [G acc: 0.141]\n",
      "2273 [D loss: (0.586)(R 0.595, F 0.576)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.187] [G acc: 0.121]\n",
      "2274 [D loss: (0.634)(R 0.592, F 0.675)] [D acc: (0.660)(0.641, 0.680)] [G loss: 1.155] [G acc: 0.148]\n",
      "2275 [D loss: (0.594)(R 0.617, F 0.571)] [D acc: (0.680)(0.566, 0.793)] [G loss: 1.149] [G acc: 0.164]\n",
      "2276 [D loss: (0.591)(R 0.627, F 0.555)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.192] [G acc: 0.109]\n",
      "2277 [D loss: (0.604)(R 0.588, F 0.619)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.160] [G acc: 0.102]\n",
      "2278 [D loss: (0.605)(R 0.643, F 0.567)] [D acc: (0.658)(0.539, 0.777)] [G loss: 1.148] [G acc: 0.160]\n",
      "2279 [D loss: (0.578)(R 0.616, F 0.541)] [D acc: (0.670)(0.578, 0.762)] [G loss: 1.153] [G acc: 0.148]\n",
      "2280 [D loss: (0.553)(R 0.533, F 0.573)] [D acc: (0.703)(0.664, 0.742)] [G loss: 1.179] [G acc: 0.137]\n",
      "2281 [D loss: (0.556)(R 0.564, F 0.548)] [D acc: (0.717)(0.629, 0.805)] [G loss: 1.193] [G acc: 0.109]\n",
      "2282 [D loss: (0.595)(R 0.589, F 0.600)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.204] [G acc: 0.109]\n",
      "2283 [D loss: (0.618)(R 0.643, F 0.592)] [D acc: (0.676)(0.559, 0.793)] [G loss: 1.203] [G acc: 0.098]\n",
      "2284 [D loss: (0.571)(R 0.589, F 0.554)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.173] [G acc: 0.129]\n",
      "2285 [D loss: (0.577)(R 0.599, F 0.555)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.149] [G acc: 0.145]\n",
      "2286 [D loss: (0.540)(R 0.538, F 0.541)] [D acc: (0.723)(0.680, 0.766)] [G loss: 1.288] [G acc: 0.062]\n",
      "2287 [D loss: (0.677)(R 0.761, F 0.593)] [D acc: (0.625)(0.500, 0.750)] [G loss: 1.136] [G acc: 0.164]\n",
      "2288 [D loss: (0.586)(R 0.556, F 0.616)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.049] [G acc: 0.180]\n",
      "2289 [D loss: (0.612)(R 0.582, F 0.643)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.074] [G acc: 0.168]\n",
      "2290 [D loss: (0.596)(R 0.603, F 0.590)] [D acc: (0.666)(0.598, 0.734)] [G loss: 1.140] [G acc: 0.168]\n",
      "2291 [D loss: (0.574)(R 0.594, F 0.553)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.091] [G acc: 0.168]\n",
      "2292 [D loss: (0.597)(R 0.591, F 0.603)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.038] [G acc: 0.188]\n",
      "2293 [D loss: (0.613)(R 0.596, F 0.630)] [D acc: (0.648)(0.613, 0.684)] [G loss: 1.083] [G acc: 0.141]\n",
      "2294 [D loss: (0.572)(R 0.578, F 0.566)] [D acc: (0.705)(0.625, 0.785)] [G loss: 1.121] [G acc: 0.172]\n",
      "2295 [D loss: (0.619)(R 0.552, F 0.686)] [D acc: (0.666)(0.664, 0.668)] [G loss: 1.062] [G acc: 0.188]\n",
      "2296 [D loss: (0.594)(R 0.615, F 0.574)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.086] [G acc: 0.160]\n",
      "2297 [D loss: (0.618)(R 0.622, F 0.613)] [D acc: (0.633)(0.562, 0.703)] [G loss: 1.141] [G acc: 0.141]\n",
      "2298 [D loss: (0.598)(R 0.621, F 0.575)] [D acc: (0.682)(0.566, 0.797)] [G loss: 1.123] [G acc: 0.160]\n",
      "2299 [D loss: (0.594)(R 0.540, F 0.649)] [D acc: (0.668)(0.660, 0.676)] [G loss: 1.134] [G acc: 0.109]\n",
      "2300 [D loss: (0.559)(R 0.581, F 0.537)] [D acc: (0.723)(0.648, 0.797)] [G loss: 1.184] [G acc: 0.090]\n",
      "2301 [D loss: (0.602)(R 0.621, F 0.582)] [D acc: (0.639)(0.570, 0.707)] [G loss: 1.138] [G acc: 0.160]\n",
      "2302 [D loss: (0.598)(R 0.573, F 0.622)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.222] [G acc: 0.098]\n",
      "2303 [D loss: (0.631)(R 0.628, F 0.635)] [D acc: (0.646)(0.578, 0.715)] [G loss: 1.253] [G acc: 0.094]\n",
      "2304 [D loss: (0.543)(R 0.555, F 0.530)] [D acc: (0.727)(0.641, 0.812)] [G loss: 1.199] [G acc: 0.125]\n",
      "2305 [D loss: (0.596)(R 0.550, F 0.642)] [D acc: (0.664)(0.656, 0.672)] [G loss: 1.156] [G acc: 0.172]\n",
      "2306 [D loss: (0.580)(R 0.611, F 0.549)] [D acc: (0.707)(0.637, 0.777)] [G loss: 1.153] [G acc: 0.148]\n",
      "2307 [D loss: (0.620)(R 0.569, F 0.670)] [D acc: (0.641)(0.625, 0.656)] [G loss: 1.131] [G acc: 0.176]\n",
      "2308 [D loss: (0.568)(R 0.546, F 0.590)] [D acc: (0.707)(0.680, 0.734)] [G loss: 1.176] [G acc: 0.137]\n",
      "2309 [D loss: (0.571)(R 0.610, F 0.532)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.174] [G acc: 0.113]\n",
      "2310 [D loss: (0.574)(R 0.599, F 0.550)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.117] [G acc: 0.156]\n",
      "2311 [D loss: (0.594)(R 0.573, F 0.614)] [D acc: (0.682)(0.652, 0.711)] [G loss: 1.131] [G acc: 0.164]\n",
      "2312 [D loss: (0.619)(R 0.607, F 0.631)] [D acc: (0.652)(0.617, 0.688)] [G loss: 1.160] [G acc: 0.148]\n",
      "2313 [D loss: (0.579)(R 0.587, F 0.570)] [D acc: (0.688)(0.625, 0.750)] [G loss: 1.158] [G acc: 0.160]\n",
      "2314 [D loss: (0.616)(R 0.606, F 0.626)] [D acc: (0.641)(0.578, 0.703)] [G loss: 1.180] [G acc: 0.070]\n",
      "2315 [D loss: (0.554)(R 0.563, F 0.544)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.121] [G acc: 0.180]\n",
      "2316 [D loss: (0.595)(R 0.614, F 0.576)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.192] [G acc: 0.121]\n",
      "2317 [D loss: (0.593)(R 0.582, F 0.605)] [D acc: (0.666)(0.621, 0.711)] [G loss: 1.095] [G acc: 0.172]\n",
      "2318 [D loss: (0.608)(R 0.596, F 0.621)] [D acc: (0.654)(0.629, 0.680)] [G loss: 1.186] [G acc: 0.160]\n",
      "2319 [D loss: (0.634)(R 0.673, F 0.595)] [D acc: (0.670)(0.570, 0.770)] [G loss: 1.189] [G acc: 0.070]\n",
      "2320 [D loss: (0.576)(R 0.636, F 0.515)] [D acc: (0.701)(0.570, 0.832)] [G loss: 1.144] [G acc: 0.152]\n",
      "2321 [D loss: (0.604)(R 0.594, F 0.614)] [D acc: (0.691)(0.660, 0.723)] [G loss: 1.085] [G acc: 0.180]\n",
      "2322 [D loss: (0.581)(R 0.560, F 0.601)] [D acc: (0.703)(0.664, 0.742)] [G loss: 1.134] [G acc: 0.141]\n",
      "2323 [D loss: (0.597)(R 0.609, F 0.586)] [D acc: (0.684)(0.582, 0.785)] [G loss: 1.146] [G acc: 0.148]\n",
      "2324 [D loss: (0.587)(R 0.639, F 0.535)] [D acc: (0.688)(0.582, 0.793)] [G loss: 1.123] [G acc: 0.145]\n",
      "2325 [D loss: (0.573)(R 0.612, F 0.535)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.115] [G acc: 0.172]\n",
      "2326 [D loss: (0.639)(R 0.657, F 0.620)] [D acc: (0.623)(0.574, 0.672)] [G loss: 1.166] [G acc: 0.125]\n",
      "2327 [D loss: (0.591)(R 0.584, F 0.599)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.179] [G acc: 0.125]\n",
      "2328 [D loss: (0.615)(R 0.625, F 0.605)] [D acc: (0.654)(0.602, 0.707)] [G loss: 1.156] [G acc: 0.152]\n",
      "2329 [D loss: (0.585)(R 0.578, F 0.592)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.193] [G acc: 0.152]\n",
      "2330 [D loss: (0.595)(R 0.630, F 0.560)] [D acc: (0.672)(0.582, 0.762)] [G loss: 1.287] [G acc: 0.094]\n",
      "2331 [D loss: (0.558)(R 0.585, F 0.531)] [D acc: (0.678)(0.598, 0.758)] [G loss: 1.222] [G acc: 0.090]\n",
      "2332 [D loss: (0.574)(R 0.571, F 0.576)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.162] [G acc: 0.176]\n",
      "2333 [D loss: (0.603)(R 0.556, F 0.649)] [D acc: (0.666)(0.668, 0.664)] [G loss: 1.268] [G acc: 0.113]\n",
      "2334 [D loss: (0.602)(R 0.640, F 0.564)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.129] [G acc: 0.164]\n",
      "2335 [D loss: (0.578)(R 0.588, F 0.568)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.100] [G acc: 0.145]\n",
      "2336 [D loss: (0.609)(R 0.598, F 0.620)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.164] [G acc: 0.129]\n",
      "2337 [D loss: (0.624)(R 0.633, F 0.615)] [D acc: (0.650)(0.566, 0.734)] [G loss: 1.094] [G acc: 0.184]\n",
      "2338 [D loss: (0.584)(R 0.552, F 0.615)] [D acc: (0.672)(0.668, 0.676)] [G loss: 1.202] [G acc: 0.098]\n",
      "2339 [D loss: (0.575)(R 0.590, F 0.560)] [D acc: (0.689)(0.590, 0.789)] [G loss: 1.219] [G acc: 0.098]\n",
      "2340 [D loss: (0.601)(R 0.564, F 0.639)] [D acc: (0.684)(0.664, 0.703)] [G loss: 1.161] [G acc: 0.125]\n",
      "2341 [D loss: (0.577)(R 0.621, F 0.533)] [D acc: (0.691)(0.570, 0.812)] [G loss: 1.104] [G acc: 0.195]\n",
      "2342 [D loss: (0.558)(R 0.531, F 0.585)] [D acc: (0.711)(0.684, 0.738)] [G loss: 1.133] [G acc: 0.160]\n",
      "2343 [D loss: (0.587)(R 0.608, F 0.565)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.192] [G acc: 0.129]\n",
      "2344 [D loss: (0.597)(R 0.598, F 0.596)] [D acc: (0.660)(0.613, 0.707)] [G loss: 1.179] [G acc: 0.133]\n",
      "2345 [D loss: (0.576)(R 0.543, F 0.609)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.158] [G acc: 0.141]\n",
      "2346 [D loss: (0.583)(R 0.568, F 0.599)] [D acc: (0.670)(0.617, 0.723)] [G loss: 1.162] [G acc: 0.160]\n",
      "2347 [D loss: (0.560)(R 0.577, F 0.543)] [D acc: (0.713)(0.641, 0.785)] [G loss: 1.174] [G acc: 0.117]\n",
      "2348 [D loss: (0.570)(R 0.583, F 0.557)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.142] [G acc: 0.137]\n",
      "2349 [D loss: (0.598)(R 0.573, F 0.622)] [D acc: (0.676)(0.637, 0.715)] [G loss: 1.125] [G acc: 0.172]\n",
      "2350 [D loss: (0.549)(R 0.534, F 0.563)] [D acc: (0.701)(0.680, 0.723)] [G loss: 1.198] [G acc: 0.176]\n",
      "2351 [D loss: (0.588)(R 0.579, F 0.597)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.208] [G acc: 0.094]\n",
      "2352 [D loss: (0.571)(R 0.555, F 0.587)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.131] [G acc: 0.176]\n",
      "2353 [D loss: (0.573)(R 0.615, F 0.532)] [D acc: (0.717)(0.629, 0.805)] [G loss: 1.130] [G acc: 0.160]\n",
      "2354 [D loss: (0.594)(R 0.572, F 0.616)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.216] [G acc: 0.121]\n",
      "2355 [D loss: (0.548)(R 0.574, F 0.523)] [D acc: (0.719)(0.629, 0.809)] [G loss: 1.155] [G acc: 0.109]\n",
      "2356 [D loss: (0.568)(R 0.568, F 0.567)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.236] [G acc: 0.102]\n",
      "2357 [D loss: (0.617)(R 0.677, F 0.557)] [D acc: (0.648)(0.539, 0.758)] [G loss: 1.185] [G acc: 0.113]\n",
      "2358 [D loss: (0.586)(R 0.554, F 0.618)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.137] [G acc: 0.168]\n",
      "2359 [D loss: (0.574)(R 0.570, F 0.579)] [D acc: (0.721)(0.668, 0.773)] [G loss: 1.194] [G acc: 0.141]\n",
      "2360 [D loss: (0.625)(R 0.611, F 0.638)] [D acc: (0.643)(0.621, 0.664)] [G loss: 1.145] [G acc: 0.160]\n",
      "2361 [D loss: (0.568)(R 0.593, F 0.544)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.179] [G acc: 0.125]\n",
      "2362 [D loss: (0.608)(R 0.609, F 0.608)] [D acc: (0.666)(0.605, 0.727)] [G loss: 1.142] [G acc: 0.156]\n",
      "2363 [D loss: (0.579)(R 0.576, F 0.583)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.116] [G acc: 0.172]\n",
      "2364 [D loss: (0.592)(R 0.595, F 0.588)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.180] [G acc: 0.137]\n",
      "2365 [D loss: (0.553)(R 0.565, F 0.542)] [D acc: (0.715)(0.660, 0.770)] [G loss: 1.193] [G acc: 0.129]\n",
      "2366 [D loss: (0.618)(R 0.597, F 0.640)] [D acc: (0.645)(0.594, 0.695)] [G loss: 1.171] [G acc: 0.160]\n",
      "2367 [D loss: (0.594)(R 0.587, F 0.600)] [D acc: (0.676)(0.633, 0.719)] [G loss: 1.177] [G acc: 0.152]\n",
      "2368 [D loss: (0.581)(R 0.571, F 0.591)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.097] [G acc: 0.195]\n",
      "2369 [D loss: (0.574)(R 0.591, F 0.557)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.223] [G acc: 0.117]\n",
      "2370 [D loss: (0.611)(R 0.613, F 0.608)] [D acc: (0.643)(0.582, 0.703)] [G loss: 1.089] [G acc: 0.156]\n",
      "2371 [D loss: (0.565)(R 0.541, F 0.589)] [D acc: (0.721)(0.672, 0.770)] [G loss: 1.199] [G acc: 0.160]\n",
      "2372 [D loss: (0.592)(R 0.633, F 0.551)] [D acc: (0.693)(0.605, 0.781)] [G loss: 1.144] [G acc: 0.137]\n",
      "2373 [D loss: (0.590)(R 0.558, F 0.621)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.142] [G acc: 0.152]\n",
      "2374 [D loss: (0.585)(R 0.610, F 0.560)] [D acc: (0.693)(0.594, 0.793)] [G loss: 1.178] [G acc: 0.129]\n",
      "2375 [D loss: (0.599)(R 0.594, F 0.604)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.075] [G acc: 0.199]\n",
      "2376 [D loss: (0.584)(R 0.596, F 0.572)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.119] [G acc: 0.129]\n",
      "2377 [D loss: (0.568)(R 0.582, F 0.554)] [D acc: (0.711)(0.625, 0.797)] [G loss: 1.242] [G acc: 0.152]\n",
      "2378 [D loss: (0.570)(R 0.609, F 0.532)] [D acc: (0.715)(0.633, 0.797)] [G loss: 1.280] [G acc: 0.074]\n",
      "2379 [D loss: (0.554)(R 0.523, F 0.585)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.161] [G acc: 0.156]\n",
      "2380 [D loss: (0.593)(R 0.629, F 0.557)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.273] [G acc: 0.109]\n",
      "2381 [D loss: (0.703)(R 0.717, F 0.690)] [D acc: (0.580)(0.516, 0.645)] [G loss: 1.158] [G acc: 0.160]\n",
      "2382 [D loss: (0.599)(R 0.595, F 0.604)] [D acc: (0.656)(0.594, 0.719)] [G loss: 1.065] [G acc: 0.160]\n",
      "2383 [D loss: (0.550)(R 0.526, F 0.575)] [D acc: (0.719)(0.707, 0.730)] [G loss: 1.168] [G acc: 0.141]\n",
      "2384 [D loss: (0.601)(R 0.610, F 0.593)] [D acc: (0.666)(0.582, 0.750)] [G loss: 1.170] [G acc: 0.141]\n",
      "2385 [D loss: (0.586)(R 0.640, F 0.531)] [D acc: (0.684)(0.543, 0.824)] [G loss: 1.224] [G acc: 0.090]\n",
      "2386 [D loss: (0.620)(R 0.649, F 0.591)] [D acc: (0.666)(0.605, 0.727)] [G loss: 1.124] [G acc: 0.125]\n",
      "2387 [D loss: (0.588)(R 0.588, F 0.588)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.134] [G acc: 0.156]\n",
      "2388 [D loss: (0.610)(R 0.636, F 0.584)] [D acc: (0.658)(0.574, 0.742)] [G loss: 1.135] [G acc: 0.168]\n",
      "2389 [D loss: (0.567)(R 0.556, F 0.579)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.173] [G acc: 0.137]\n",
      "2390 [D loss: (0.609)(R 0.624, F 0.594)] [D acc: (0.668)(0.613, 0.723)] [G loss: 1.115] [G acc: 0.180]\n",
      "2391 [D loss: (0.576)(R 0.589, F 0.563)] [D acc: (0.693)(0.605, 0.781)] [G loss: 1.162] [G acc: 0.121]\n",
      "2392 [D loss: (0.560)(R 0.549, F 0.571)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.127] [G acc: 0.160]\n",
      "2393 [D loss: (0.548)(R 0.570, F 0.525)] [D acc: (0.719)(0.645, 0.793)] [G loss: 1.206] [G acc: 0.086]\n",
      "2394 [D loss: (0.606)(R 0.551, F 0.661)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.163] [G acc: 0.152]\n",
      "2395 [D loss: (0.634)(R 0.630, F 0.638)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.142] [G acc: 0.152]\n",
      "2396 [D loss: (0.595)(R 0.613, F 0.577)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.177] [G acc: 0.121]\n",
      "2397 [D loss: (0.582)(R 0.616, F 0.549)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.182] [G acc: 0.109]\n",
      "2398 [D loss: (0.560)(R 0.576, F 0.544)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.174] [G acc: 0.117]\n",
      "2399 [D loss: (0.623)(R 0.670, F 0.576)] [D acc: (0.648)(0.543, 0.754)] [G loss: 1.182] [G acc: 0.168]\n",
      "2400 [D loss: (0.541)(R 0.572, F 0.510)] [D acc: (0.705)(0.609, 0.801)] [G loss: 1.193] [G acc: 0.145]\n",
      "2401 [D loss: (0.614)(R 0.597, F 0.631)] [D acc: (0.658)(0.602, 0.715)] [G loss: 1.164] [G acc: 0.113]\n",
      "2402 [D loss: (0.613)(R 0.640, F 0.587)] [D acc: (0.670)(0.594, 0.746)] [G loss: 1.147] [G acc: 0.113]\n",
      "2403 [D loss: (0.562)(R 0.568, F 0.555)] [D acc: (0.713)(0.645, 0.781)] [G loss: 1.177] [G acc: 0.125]\n",
      "2404 [D loss: (0.596)(R 0.634, F 0.559)] [D acc: (0.668)(0.582, 0.754)] [G loss: 1.156] [G acc: 0.133]\n",
      "2405 [D loss: (0.583)(R 0.560, F 0.606)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.239] [G acc: 0.133]\n",
      "2406 [D loss: (0.614)(R 0.654, F 0.573)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.124] [G acc: 0.129]\n",
      "2407 [D loss: (0.613)(R 0.632, F 0.594)] [D acc: (0.645)(0.570, 0.719)] [G loss: 1.250] [G acc: 0.160]\n",
      "2408 [D loss: (0.570)(R 0.581, F 0.560)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.247] [G acc: 0.113]\n",
      "2409 [D loss: (0.598)(R 0.596, F 0.599)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.119] [G acc: 0.156]\n",
      "2410 [D loss: (0.559)(R 0.539, F 0.579)] [D acc: (0.725)(0.684, 0.766)] [G loss: 1.219] [G acc: 0.133]\n",
      "2411 [D loss: (0.564)(R 0.539, F 0.589)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.218] [G acc: 0.105]\n",
      "2412 [D loss: (0.603)(R 0.608, F 0.598)] [D acc: (0.656)(0.613, 0.699)] [G loss: 1.143] [G acc: 0.160]\n",
      "2413 [D loss: (0.574)(R 0.553, F 0.595)] [D acc: (0.711)(0.672, 0.750)] [G loss: 1.175] [G acc: 0.137]\n",
      "2414 [D loss: (0.579)(R 0.559, F 0.598)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.180] [G acc: 0.137]\n",
      "2415 [D loss: (0.631)(R 0.659, F 0.604)] [D acc: (0.648)(0.609, 0.688)] [G loss: 1.112] [G acc: 0.160]\n",
      "2416 [D loss: (0.570)(R 0.591, F 0.548)] [D acc: (0.691)(0.602, 0.781)] [G loss: 1.207] [G acc: 0.109]\n",
      "2417 [D loss: (0.603)(R 0.641, F 0.566)] [D acc: (0.652)(0.566, 0.738)] [G loss: 1.254] [G acc: 0.109]\n",
      "2418 [D loss: (0.589)(R 0.607, F 0.571)] [D acc: (0.658)(0.570, 0.746)] [G loss: 1.257] [G acc: 0.066]\n",
      "2419 [D loss: (0.589)(R 0.644, F 0.534)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.120] [G acc: 0.152]\n",
      "2420 [D loss: (0.572)(R 0.542, F 0.602)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.138] [G acc: 0.121]\n",
      "2421 [D loss: (0.577)(R 0.581, F 0.573)] [D acc: (0.688)(0.609, 0.766)] [G loss: 1.137] [G acc: 0.160]\n",
      "2422 [D loss: (0.579)(R 0.563, F 0.595)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.165] [G acc: 0.121]\n",
      "2423 [D loss: (0.585)(R 0.557, F 0.614)] [D acc: (0.670)(0.664, 0.676)] [G loss: 1.166] [G acc: 0.164]\n",
      "2424 [D loss: (0.589)(R 0.617, F 0.560)] [D acc: (0.676)(0.574, 0.777)] [G loss: 1.178] [G acc: 0.102]\n",
      "2425 [D loss: (0.591)(R 0.596, F 0.585)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.087] [G acc: 0.176]\n",
      "2426 [D loss: (0.562)(R 0.526, F 0.598)] [D acc: (0.701)(0.680, 0.723)] [G loss: 1.134] [G acc: 0.191]\n",
      "2427 [D loss: (0.631)(R 0.612, F 0.651)] [D acc: (0.645)(0.578, 0.711)] [G loss: 1.108] [G acc: 0.195]\n",
      "2428 [D loss: (0.611)(R 0.581, F 0.641)] [D acc: (0.648)(0.598, 0.699)] [G loss: 1.097] [G acc: 0.191]\n",
      "2429 [D loss: (0.603)(R 0.601, F 0.604)] [D acc: (0.658)(0.574, 0.742)] [G loss: 1.134] [G acc: 0.148]\n",
      "2430 [D loss: (0.624)(R 0.624, F 0.623)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.089] [G acc: 0.148]\n",
      "2431 [D loss: (0.596)(R 0.630, F 0.562)] [D acc: (0.658)(0.559, 0.758)] [G loss: 1.043] [G acc: 0.188]\n",
      "2432 [D loss: (0.572)(R 0.595, F 0.550)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.177] [G acc: 0.164]\n",
      "2433 [D loss: (0.603)(R 0.573, F 0.634)] [D acc: (0.652)(0.598, 0.707)] [G loss: 1.192] [G acc: 0.129]\n",
      "2434 [D loss: (0.571)(R 0.612, F 0.530)] [D acc: (0.713)(0.613, 0.812)] [G loss: 1.206] [G acc: 0.082]\n",
      "2435 [D loss: (0.581)(R 0.580, F 0.582)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.134] [G acc: 0.160]\n",
      "2436 [D loss: (0.586)(R 0.585, F 0.587)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.126] [G acc: 0.176]\n",
      "2437 [D loss: (0.611)(R 0.630, F 0.592)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.089] [G acc: 0.188]\n",
      "2438 [D loss: (0.564)(R 0.588, F 0.540)] [D acc: (0.688)(0.594, 0.781)] [G loss: 1.070] [G acc: 0.176]\n",
      "2439 [D loss: (0.587)(R 0.627, F 0.547)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.134] [G acc: 0.164]\n",
      "2440 [D loss: (0.607)(R 0.541, F 0.673)] [D acc: (0.672)(0.664, 0.680)] [G loss: 1.157] [G acc: 0.125]\n",
      "2441 [D loss: (0.596)(R 0.592, F 0.600)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.129] [G acc: 0.117]\n",
      "2442 [D loss: (0.571)(R 0.568, F 0.574)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.196] [G acc: 0.070]\n",
      "2443 [D loss: (0.552)(R 0.564, F 0.539)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.192] [G acc: 0.141]\n",
      "2444 [D loss: (0.609)(R 0.574, F 0.644)] [D acc: (0.662)(0.645, 0.680)] [G loss: 1.166] [G acc: 0.152]\n",
      "2445 [D loss: (0.587)(R 0.585, F 0.589)] [D acc: (0.650)(0.582, 0.719)] [G loss: 1.163] [G acc: 0.168]\n",
      "2446 [D loss: (0.552)(R 0.574, F 0.529)] [D acc: (0.711)(0.625, 0.797)] [G loss: 1.200] [G acc: 0.137]\n",
      "2447 [D loss: (0.560)(R 0.525, F 0.595)] [D acc: (0.721)(0.684, 0.758)] [G loss: 1.261] [G acc: 0.152]\n",
      "2448 [D loss: (0.620)(R 0.690, F 0.549)] [D acc: (0.668)(0.535, 0.801)] [G loss: 1.242] [G acc: 0.098]\n",
      "2449 [D loss: (0.572)(R 0.543, F 0.601)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.209] [G acc: 0.129]\n",
      "2450 [D loss: (0.622)(R 0.630, F 0.615)] [D acc: (0.637)(0.574, 0.699)] [G loss: 1.131] [G acc: 0.172]\n",
      "2451 [D loss: (0.566)(R 0.581, F 0.550)] [D acc: (0.711)(0.660, 0.762)] [G loss: 1.150] [G acc: 0.148]\n",
      "2452 [D loss: (0.611)(R 0.598, F 0.624)] [D acc: (0.646)(0.594, 0.699)] [G loss: 1.128] [G acc: 0.184]\n",
      "2453 [D loss: (0.560)(R 0.544, F 0.576)] [D acc: (0.736)(0.695, 0.777)] [G loss: 1.183] [G acc: 0.141]\n",
      "2454 [D loss: (0.582)(R 0.566, F 0.598)] [D acc: (0.699)(0.672, 0.727)] [G loss: 1.141] [G acc: 0.160]\n",
      "2455 [D loss: (0.578)(R 0.595, F 0.561)] [D acc: (0.695)(0.605, 0.785)] [G loss: 1.227] [G acc: 0.148]\n",
      "2456 [D loss: (0.571)(R 0.556, F 0.586)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.176] [G acc: 0.156]\n",
      "2457 [D loss: (0.531)(R 0.521, F 0.541)] [D acc: (0.738)(0.699, 0.777)] [G loss: 1.227] [G acc: 0.133]\n",
      "2458 [D loss: (0.591)(R 0.598, F 0.584)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.114] [G acc: 0.184]\n",
      "2459 [D loss: (0.604)(R 0.613, F 0.595)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.097] [G acc: 0.188]\n",
      "2460 [D loss: (0.591)(R 0.576, F 0.605)] [D acc: (0.701)(0.664, 0.738)] [G loss: 1.195] [G acc: 0.152]\n",
      "2461 [D loss: (0.632)(R 0.676, F 0.588)] [D acc: (0.645)(0.551, 0.738)] [G loss: 1.156] [G acc: 0.117]\n",
      "2462 [D loss: (0.616)(R 0.616, F 0.616)] [D acc: (0.660)(0.594, 0.727)] [G loss: 1.112] [G acc: 0.203]\n",
      "2463 [D loss: (0.551)(R 0.540, F 0.561)] [D acc: (0.713)(0.652, 0.773)] [G loss: 1.090] [G acc: 0.156]\n",
      "2464 [D loss: (0.576)(R 0.584, F 0.568)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.115] [G acc: 0.188]\n",
      "2465 [D loss: (0.598)(R 0.578, F 0.617)] [D acc: (0.676)(0.645, 0.707)] [G loss: 1.175] [G acc: 0.141]\n",
      "2466 [D loss: (0.586)(R 0.612, F 0.560)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.158] [G acc: 0.129]\n",
      "2467 [D loss: (0.612)(R 0.620, F 0.603)] [D acc: (0.686)(0.641, 0.730)] [G loss: 1.106] [G acc: 0.160]\n",
      "2468 [D loss: (0.565)(R 0.586, F 0.543)] [D acc: (0.705)(0.625, 0.785)] [G loss: 1.175] [G acc: 0.121]\n",
      "2469 [D loss: (0.603)(R 0.619, F 0.588)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.221] [G acc: 0.109]\n",
      "2470 [D loss: (0.581)(R 0.620, F 0.542)] [D acc: (0.697)(0.566, 0.828)] [G loss: 1.229] [G acc: 0.082]\n",
      "2471 [D loss: (0.608)(R 0.576, F 0.640)] [D acc: (0.666)(0.633, 0.699)] [G loss: 1.170] [G acc: 0.152]\n",
      "2472 [D loss: (0.577)(R 0.620, F 0.534)] [D acc: (0.684)(0.570, 0.797)] [G loss: 1.159] [G acc: 0.137]\n",
      "2473 [D loss: (0.564)(R 0.580, F 0.548)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.154] [G acc: 0.113]\n",
      "2474 [D loss: (0.568)(R 0.515, F 0.620)] [D acc: (0.709)(0.719, 0.699)] [G loss: 1.183] [G acc: 0.137]\n",
      "2475 [D loss: (0.602)(R 0.635, F 0.569)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.172] [G acc: 0.121]\n",
      "2476 [D loss: (0.548)(R 0.547, F 0.550)] [D acc: (0.736)(0.672, 0.801)] [G loss: 1.121] [G acc: 0.145]\n",
      "2477 [D loss: (0.569)(R 0.558, F 0.580)] [D acc: (0.695)(0.664, 0.727)] [G loss: 1.211] [G acc: 0.109]\n",
      "2478 [D loss: (0.603)(R 0.638, F 0.568)] [D acc: (0.648)(0.547, 0.750)] [G loss: 1.120] [G acc: 0.113]\n",
      "2479 [D loss: (0.597)(R 0.590, F 0.604)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.172] [G acc: 0.152]\n",
      "2480 [D loss: (0.632)(R 0.634, F 0.629)] [D acc: (0.621)(0.555, 0.688)] [G loss: 1.144] [G acc: 0.074]\n",
      "2481 [D loss: (0.597)(R 0.602, F 0.591)] [D acc: (0.674)(0.598, 0.750)] [G loss: 1.168] [G acc: 0.125]\n",
      "2482 [D loss: (0.601)(R 0.659, F 0.542)] [D acc: (0.695)(0.570, 0.820)] [G loss: 1.125] [G acc: 0.125]\n",
      "2483 [D loss: (0.585)(R 0.589, F 0.582)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.168] [G acc: 0.129]\n",
      "2484 [D loss: (0.580)(R 0.569, F 0.592)] [D acc: (0.695)(0.672, 0.719)] [G loss: 1.164] [G acc: 0.141]\n",
      "2485 [D loss: (0.580)(R 0.620, F 0.539)] [D acc: (0.699)(0.586, 0.812)] [G loss: 1.140] [G acc: 0.133]\n",
      "2486 [D loss: (0.599)(R 0.591, F 0.607)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.150] [G acc: 0.129]\n",
      "2487 [D loss: (0.589)(R 0.567, F 0.611)] [D acc: (0.703)(0.688, 0.719)] [G loss: 1.131] [G acc: 0.113]\n",
      "2488 [D loss: (0.575)(R 0.547, F 0.602)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.146] [G acc: 0.125]\n",
      "2489 [D loss: (0.563)(R 0.569, F 0.558)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.165] [G acc: 0.133]\n",
      "2490 [D loss: (0.544)(R 0.586, F 0.502)] [D acc: (0.732)(0.633, 0.832)] [G loss: 1.185] [G acc: 0.117]\n",
      "2491 [D loss: (0.567)(R 0.545, F 0.589)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.193] [G acc: 0.172]\n",
      "2492 [D loss: (0.564)(R 0.575, F 0.552)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.212] [G acc: 0.066]\n",
      "2493 [D loss: (0.581)(R 0.555, F 0.607)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.077] [G acc: 0.156]\n",
      "2494 [D loss: (0.584)(R 0.589, F 0.580)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.248] [G acc: 0.109]\n",
      "2495 [D loss: (0.582)(R 0.577, F 0.586)] [D acc: (0.713)(0.656, 0.770)] [G loss: 1.225] [G acc: 0.121]\n",
      "2496 [D loss: (0.594)(R 0.618, F 0.569)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.143] [G acc: 0.172]\n",
      "2497 [D loss: (0.569)(R 0.579, F 0.560)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.142] [G acc: 0.164]\n",
      "2498 [D loss: (0.558)(R 0.549, F 0.567)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.152] [G acc: 0.141]\n",
      "2499 [D loss: (0.591)(R 0.566, F 0.615)] [D acc: (0.691)(0.617, 0.766)] [G loss: 1.143] [G acc: 0.156]\n",
      "2500 [D loss: (0.620)(R 0.641, F 0.598)] [D acc: (0.656)(0.586, 0.727)] [G loss: 1.210] [G acc: 0.191]\n",
      "2501 [D loss: (0.545)(R 0.573, F 0.517)] [D acc: (0.715)(0.609, 0.820)] [G loss: 1.228] [G acc: 0.121]\n",
      "2502 [D loss: (0.589)(R 0.551, F 0.626)] [D acc: (0.691)(0.711, 0.672)] [G loss: 1.193] [G acc: 0.164]\n",
      "2503 [D loss: (0.561)(R 0.577, F 0.546)] [D acc: (0.686)(0.598, 0.773)] [G loss: 1.246] [G acc: 0.109]\n",
      "2504 [D loss: (0.600)(R 0.601, F 0.599)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.252] [G acc: 0.125]\n",
      "2505 [D loss: (0.555)(R 0.622, F 0.488)] [D acc: (0.701)(0.586, 0.816)] [G loss: 1.209] [G acc: 0.094]\n",
      "2506 [D loss: (0.548)(R 0.510, F 0.586)] [D acc: (0.744)(0.695, 0.793)] [G loss: 1.147] [G acc: 0.164]\n",
      "2507 [D loss: (0.597)(R 0.542, F 0.652)] [D acc: (0.699)(0.699, 0.699)] [G loss: 1.142] [G acc: 0.156]\n",
      "2508 [D loss: (0.580)(R 0.597, F 0.563)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.222] [G acc: 0.145]\n",
      "2509 [D loss: (0.579)(R 0.576, F 0.581)] [D acc: (0.713)(0.676, 0.750)] [G loss: 1.256] [G acc: 0.109]\n",
      "2510 [D loss: (0.595)(R 0.652, F 0.538)] [D acc: (0.691)(0.578, 0.805)] [G loss: 1.293] [G acc: 0.109]\n",
      "2511 [D loss: (0.616)(R 0.628, F 0.605)] [D acc: (0.645)(0.566, 0.723)] [G loss: 1.090] [G acc: 0.156]\n",
      "2512 [D loss: (0.622)(R 0.622, F 0.623)] [D acc: (0.643)(0.559, 0.727)] [G loss: 1.149] [G acc: 0.090]\n",
      "2513 [D loss: (0.624)(R 0.630, F 0.618)] [D acc: (0.660)(0.590, 0.730)] [G loss: 1.130] [G acc: 0.141]\n",
      "2514 [D loss: (0.606)(R 0.642, F 0.569)] [D acc: (0.658)(0.562, 0.754)] [G loss: 1.068] [G acc: 0.152]\n",
      "2515 [D loss: (0.593)(R 0.558, F 0.627)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.096] [G acc: 0.121]\n",
      "2516 [D loss: (0.597)(R 0.572, F 0.622)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.150] [G acc: 0.109]\n",
      "2517 [D loss: (0.595)(R 0.591, F 0.599)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.159] [G acc: 0.152]\n",
      "2518 [D loss: (0.631)(R 0.630, F 0.632)] [D acc: (0.654)(0.582, 0.727)] [G loss: 1.111] [G acc: 0.129]\n",
      "2519 [D loss: (0.587)(R 0.623, F 0.550)] [D acc: (0.689)(0.590, 0.789)] [G loss: 1.167] [G acc: 0.129]\n",
      "2520 [D loss: (0.643)(R 0.724, F 0.562)] [D acc: (0.650)(0.492, 0.809)] [G loss: 1.147] [G acc: 0.137]\n",
      "2521 [D loss: (0.599)(R 0.600, F 0.598)] [D acc: (0.656)(0.586, 0.727)] [G loss: 1.125] [G acc: 0.133]\n",
      "2522 [D loss: (0.571)(R 0.538, F 0.604)] [D acc: (0.688)(0.668, 0.707)] [G loss: 1.084] [G acc: 0.160]\n",
      "2523 [D loss: (0.611)(R 0.577, F 0.646)] [D acc: (0.686)(0.672, 0.699)] [G loss: 1.159] [G acc: 0.145]\n",
      "2524 [D loss: (0.621)(R 0.626, F 0.616)] [D acc: (0.678)(0.637, 0.719)] [G loss: 1.145] [G acc: 0.129]\n",
      "2525 [D loss: (0.615)(R 0.639, F 0.591)] [D acc: (0.652)(0.570, 0.734)] [G loss: 1.107] [G acc: 0.125]\n",
      "2526 [D loss: (0.601)(R 0.625, F 0.577)] [D acc: (0.670)(0.578, 0.762)] [G loss: 1.049] [G acc: 0.203]\n",
      "2527 [D loss: (0.564)(R 0.557, F 0.572)] [D acc: (0.693)(0.629, 0.758)] [G loss: 1.144] [G acc: 0.129]\n",
      "2528 [D loss: (0.575)(R 0.611, F 0.540)] [D acc: (0.697)(0.582, 0.812)] [G loss: 1.206] [G acc: 0.133]\n",
      "2529 [D loss: (0.611)(R 0.637, F 0.584)] [D acc: (0.684)(0.598, 0.770)] [G loss: 1.172] [G acc: 0.129]\n",
      "2530 [D loss: (0.616)(R 0.654, F 0.577)] [D acc: (0.664)(0.551, 0.777)] [G loss: 1.124] [G acc: 0.145]\n",
      "2531 [D loss: (0.562)(R 0.591, F 0.533)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.236] [G acc: 0.121]\n",
      "2532 [D loss: (0.543)(R 0.553, F 0.534)] [D acc: (0.738)(0.676, 0.801)] [G loss: 1.265] [G acc: 0.070]\n",
      "2533 [D loss: (0.560)(R 0.553, F 0.568)] [D acc: (0.717)(0.652, 0.781)] [G loss: 1.237] [G acc: 0.102]\n",
      "2534 [D loss: (0.616)(R 0.600, F 0.633)] [D acc: (0.664)(0.633, 0.695)] [G loss: 1.167] [G acc: 0.148]\n",
      "2535 [D loss: (0.574)(R 0.588, F 0.559)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.185] [G acc: 0.125]\n",
      "2536 [D loss: (0.539)(R 0.557, F 0.520)] [D acc: (0.725)(0.660, 0.789)] [G loss: 1.163] [G acc: 0.188]\n",
      "2537 [D loss: (0.608)(R 0.598, F 0.618)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.114] [G acc: 0.148]\n",
      "2538 [D loss: (0.576)(R 0.575, F 0.576)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.171] [G acc: 0.125]\n",
      "2539 [D loss: (0.586)(R 0.655, F 0.518)] [D acc: (0.678)(0.559, 0.797)] [G loss: 1.185] [G acc: 0.098]\n",
      "2540 [D loss: (0.571)(R 0.589, F 0.553)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.135] [G acc: 0.152]\n",
      "2541 [D loss: (0.607)(R 0.565, F 0.650)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.142] [G acc: 0.152]\n",
      "2542 [D loss: (0.555)(R 0.591, F 0.519)] [D acc: (0.707)(0.605, 0.809)] [G loss: 1.210] [G acc: 0.117]\n",
      "2543 [D loss: (0.593)(R 0.608, F 0.577)] [D acc: (0.658)(0.594, 0.723)] [G loss: 1.132] [G acc: 0.176]\n",
      "2544 [D loss: (0.585)(R 0.589, F 0.580)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.190] [G acc: 0.133]\n",
      "2545 [D loss: (0.585)(R 0.609, F 0.561)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.149] [G acc: 0.160]\n",
      "2546 [D loss: (0.596)(R 0.621, F 0.570)] [D acc: (0.664)(0.566, 0.762)] [G loss: 1.160] [G acc: 0.129]\n",
      "2547 [D loss: (0.583)(R 0.525, F 0.641)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.163] [G acc: 0.141]\n",
      "2548 [D loss: (0.583)(R 0.624, F 0.541)] [D acc: (0.699)(0.602, 0.797)] [G loss: 1.232] [G acc: 0.109]\n",
      "2549 [D loss: (0.563)(R 0.535, F 0.590)] [D acc: (0.711)(0.684, 0.738)] [G loss: 1.150] [G acc: 0.172]\n",
      "2550 [D loss: (0.583)(R 0.571, F 0.596)] [D acc: (0.676)(0.625, 0.727)] [G loss: 1.164] [G acc: 0.094]\n",
      "2551 [D loss: (0.564)(R 0.566, F 0.561)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.158] [G acc: 0.164]\n",
      "2552 [D loss: (0.561)(R 0.585, F 0.537)] [D acc: (0.697)(0.613, 0.781)] [G loss: 1.166] [G acc: 0.152]\n",
      "2553 [D loss: (0.618)(R 0.568, F 0.668)] [D acc: (0.658)(0.648, 0.668)] [G loss: 1.288] [G acc: 0.121]\n",
      "2554 [D loss: (0.573)(R 0.614, F 0.532)] [D acc: (0.693)(0.590, 0.797)] [G loss: 1.186] [G acc: 0.082]\n",
      "2555 [D loss: (0.585)(R 0.551, F 0.620)] [D acc: (0.688)(0.652, 0.723)] [G loss: 1.176] [G acc: 0.102]\n",
      "2556 [D loss: (0.583)(R 0.627, F 0.538)] [D acc: (0.703)(0.602, 0.805)] [G loss: 1.156] [G acc: 0.109]\n",
      "2557 [D loss: (0.593)(R 0.620, F 0.566)] [D acc: (0.658)(0.594, 0.723)] [G loss: 1.167] [G acc: 0.156]\n",
      "2558 [D loss: (0.535)(R 0.541, F 0.530)] [D acc: (0.738)(0.680, 0.797)] [G loss: 1.246] [G acc: 0.109]\n",
      "2559 [D loss: (0.591)(R 0.590, F 0.593)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.120] [G acc: 0.180]\n",
      "2560 [D loss: (0.589)(R 0.575, F 0.603)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.217] [G acc: 0.148]\n",
      "2561 [D loss: (0.569)(R 0.589, F 0.549)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.175] [G acc: 0.141]\n",
      "2562 [D loss: (0.576)(R 0.596, F 0.557)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.255] [G acc: 0.117]\n",
      "2563 [D loss: (0.576)(R 0.565, F 0.587)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.187] [G acc: 0.129]\n",
      "2564 [D loss: (0.597)(R 0.570, F 0.624)] [D acc: (0.680)(0.660, 0.699)] [G loss: 1.111] [G acc: 0.180]\n",
      "2565 [D loss: (0.577)(R 0.528, F 0.625)] [D acc: (0.689)(0.656, 0.723)] [G loss: 1.156] [G acc: 0.152]\n",
      "2566 [D loss: (0.592)(R 0.597, F 0.587)] [D acc: (0.670)(0.613, 0.727)] [G loss: 1.179] [G acc: 0.125]\n",
      "2567 [D loss: (0.643)(R 0.587, F 0.699)] [D acc: (0.627)(0.598, 0.656)] [G loss: 1.196] [G acc: 0.137]\n",
      "2568 [D loss: (0.584)(R 0.665, F 0.503)] [D acc: (0.674)(0.531, 0.816)] [G loss: 1.166] [G acc: 0.117]\n",
      "2569 [D loss: (0.605)(R 0.555, F 0.655)] [D acc: (0.643)(0.605, 0.680)] [G loss: 1.229] [G acc: 0.094]\n",
      "2570 [D loss: (0.574)(R 0.592, F 0.555)] [D acc: (0.680)(0.586, 0.773)] [G loss: 1.299] [G acc: 0.070]\n",
      "2571 [D loss: (0.550)(R 0.542, F 0.557)] [D acc: (0.715)(0.645, 0.785)] [G loss: 1.238] [G acc: 0.113]\n",
      "2572 [D loss: (0.573)(R 0.610, F 0.535)] [D acc: (0.697)(0.594, 0.801)] [G loss: 1.233] [G acc: 0.102]\n",
      "2573 [D loss: (0.583)(R 0.564, F 0.602)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.185] [G acc: 0.125]\n",
      "2574 [D loss: (0.562)(R 0.567, F 0.557)] [D acc: (0.705)(0.621, 0.789)] [G loss: 1.123] [G acc: 0.145]\n",
      "2575 [D loss: (0.596)(R 0.628, F 0.565)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.223] [G acc: 0.133]\n",
      "2576 [D loss: (0.550)(R 0.539, F 0.561)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.254] [G acc: 0.062]\n",
      "2577 [D loss: (0.585)(R 0.613, F 0.556)] [D acc: (0.654)(0.570, 0.738)] [G loss: 1.165] [G acc: 0.129]\n",
      "2578 [D loss: (0.578)(R 0.616, F 0.540)] [D acc: (0.666)(0.555, 0.777)] [G loss: 1.171] [G acc: 0.160]\n",
      "2579 [D loss: (0.558)(R 0.559, F 0.556)] [D acc: (0.707)(0.625, 0.789)] [G loss: 1.180] [G acc: 0.188]\n",
      "2580 [D loss: (0.608)(R 0.572, F 0.644)] [D acc: (0.682)(0.633, 0.730)] [G loss: 1.224] [G acc: 0.098]\n",
      "2581 [D loss: (0.573)(R 0.605, F 0.541)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.126] [G acc: 0.164]\n",
      "2582 [D loss: (0.591)(R 0.573, F 0.609)] [D acc: (0.658)(0.621, 0.695)] [G loss: 1.192] [G acc: 0.109]\n",
      "2583 [D loss: (0.575)(R 0.574, F 0.576)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.188] [G acc: 0.172]\n",
      "2584 [D loss: (0.566)(R 0.531, F 0.601)] [D acc: (0.711)(0.656, 0.766)] [G loss: 1.284] [G acc: 0.125]\n",
      "2585 [D loss: (0.583)(R 0.562, F 0.603)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.164] [G acc: 0.152]\n",
      "2586 [D loss: (0.554)(R 0.575, F 0.533)] [D acc: (0.707)(0.637, 0.777)] [G loss: 1.146] [G acc: 0.172]\n",
      "2587 [D loss: (0.599)(R 0.582, F 0.617)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.191] [G acc: 0.133]\n",
      "2588 [D loss: (0.573)(R 0.589, F 0.556)] [D acc: (0.715)(0.648, 0.781)] [G loss: 1.222] [G acc: 0.109]\n",
      "2589 [D loss: (0.577)(R 0.586, F 0.569)] [D acc: (0.684)(0.625, 0.742)] [G loss: 1.227] [G acc: 0.125]\n",
      "2590 [D loss: (0.538)(R 0.545, F 0.532)] [D acc: (0.732)(0.684, 0.781)] [G loss: 1.264] [G acc: 0.086]\n",
      "2591 [D loss: (0.559)(R 0.570, F 0.547)] [D acc: (0.723)(0.641, 0.805)] [G loss: 1.188] [G acc: 0.152]\n",
      "2592 [D loss: (0.575)(R 0.559, F 0.591)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.217] [G acc: 0.129]\n",
      "2593 [D loss: (0.614)(R 0.592, F 0.637)] [D acc: (0.641)(0.617, 0.664)] [G loss: 1.196] [G acc: 0.113]\n",
      "2594 [D loss: (0.549)(R 0.528, F 0.571)] [D acc: (0.723)(0.691, 0.754)] [G loss: 1.174] [G acc: 0.129]\n",
      "2595 [D loss: (0.566)(R 0.566, F 0.567)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.182] [G acc: 0.156]\n",
      "2596 [D loss: (0.626)(R 0.609, F 0.644)] [D acc: (0.654)(0.586, 0.723)] [G loss: 1.202] [G acc: 0.141]\n",
      "2597 [D loss: (0.558)(R 0.555, F 0.560)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.246] [G acc: 0.094]\n",
      "2598 [D loss: (0.572)(R 0.570, F 0.574)] [D acc: (0.730)(0.676, 0.785)] [G loss: 1.135] [G acc: 0.145]\n",
      "2599 [D loss: (0.562)(R 0.571, F 0.553)] [D acc: (0.707)(0.641, 0.773)] [G loss: 1.197] [G acc: 0.152]\n",
      "2600 [D loss: (0.549)(R 0.581, F 0.516)] [D acc: (0.740)(0.652, 0.828)] [G loss: 1.213] [G acc: 0.148]\n",
      "2601 [D loss: (0.575)(R 0.538, F 0.613)] [D acc: (0.691)(0.676, 0.707)] [G loss: 1.277] [G acc: 0.133]\n",
      "2602 [D loss: (0.563)(R 0.603, F 0.523)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.253] [G acc: 0.109]\n",
      "2603 [D loss: (0.611)(R 0.648, F 0.574)] [D acc: (0.656)(0.578, 0.734)] [G loss: 1.249] [G acc: 0.137]\n",
      "2604 [D loss: (0.568)(R 0.581, F 0.554)] [D acc: (0.701)(0.625, 0.777)] [G loss: 1.236] [G acc: 0.117]\n",
      "2605 [D loss: (0.637)(R 0.625, F 0.649)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.213] [G acc: 0.133]\n",
      "2606 [D loss: (0.615)(R 0.677, F 0.553)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.198] [G acc: 0.109]\n",
      "2607 [D loss: (0.565)(R 0.559, F 0.571)] [D acc: (0.711)(0.703, 0.719)] [G loss: 1.262] [G acc: 0.141]\n",
      "2608 [D loss: (0.609)(R 0.618, F 0.599)] [D acc: (0.660)(0.598, 0.723)] [G loss: 1.196] [G acc: 0.113]\n",
      "2609 [D loss: (0.584)(R 0.612, F 0.555)] [D acc: (0.652)(0.562, 0.742)] [G loss: 1.230] [G acc: 0.117]\n",
      "2610 [D loss: (0.564)(R 0.600, F 0.528)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.243] [G acc: 0.094]\n",
      "2611 [D loss: (0.620)(R 0.625, F 0.615)] [D acc: (0.664)(0.578, 0.750)] [G loss: 1.199] [G acc: 0.129]\n",
      "2612 [D loss: (0.613)(R 0.625, F 0.602)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.165] [G acc: 0.133]\n",
      "2613 [D loss: (0.573)(R 0.533, F 0.614)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.199] [G acc: 0.129]\n",
      "2614 [D loss: (0.553)(R 0.529, F 0.577)] [D acc: (0.727)(0.719, 0.734)] [G loss: 1.182] [G acc: 0.141]\n",
      "2615 [D loss: (0.576)(R 0.593, F 0.559)] [D acc: (0.697)(0.605, 0.789)] [G loss: 1.185] [G acc: 0.160]\n",
      "2616 [D loss: (0.570)(R 0.534, F 0.605)] [D acc: (0.725)(0.684, 0.766)] [G loss: 1.210] [G acc: 0.133]\n",
      "2617 [D loss: (0.590)(R 0.647, F 0.533)] [D acc: (0.664)(0.523, 0.805)] [G loss: 1.194] [G acc: 0.141]\n",
      "2618 [D loss: (0.547)(R 0.542, F 0.551)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.258] [G acc: 0.133]\n",
      "2619 [D loss: (0.584)(R 0.530, F 0.637)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.273] [G acc: 0.133]\n",
      "2620 [D loss: (0.555)(R 0.633, F 0.478)] [D acc: (0.721)(0.605, 0.836)] [G loss: 1.198] [G acc: 0.129]\n",
      "2621 [D loss: (0.592)(R 0.598, F 0.586)] [D acc: (0.678)(0.598, 0.758)] [G loss: 1.245] [G acc: 0.168]\n",
      "2622 [D loss: (0.574)(R 0.585, F 0.563)] [D acc: (0.711)(0.633, 0.789)] [G loss: 1.189] [G acc: 0.129]\n",
      "2623 [D loss: (0.596)(R 0.584, F 0.608)] [D acc: (0.676)(0.645, 0.707)] [G loss: 1.176] [G acc: 0.133]\n",
      "2624 [D loss: (0.611)(R 0.669, F 0.552)] [D acc: (0.645)(0.527, 0.762)] [G loss: 1.233] [G acc: 0.109]\n",
      "2625 [D loss: (0.562)(R 0.553, F 0.570)] [D acc: (0.715)(0.672, 0.758)] [G loss: 1.208] [G acc: 0.184]\n",
      "2626 [D loss: (0.616)(R 0.636, F 0.597)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.172] [G acc: 0.113]\n",
      "2627 [D loss: (0.626)(R 0.632, F 0.619)] [D acc: (0.643)(0.594, 0.691)] [G loss: 1.135] [G acc: 0.145]\n",
      "2628 [D loss: (0.570)(R 0.547, F 0.593)] [D acc: (0.695)(0.676, 0.715)] [G loss: 1.124] [G acc: 0.141]\n",
      "2629 [D loss: (0.563)(R 0.573, F 0.553)] [D acc: (0.695)(0.617, 0.773)] [G loss: 1.178] [G acc: 0.176]\n",
      "2630 [D loss: (0.583)(R 0.574, F 0.592)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.125] [G acc: 0.164]\n",
      "2631 [D loss: (0.579)(R 0.549, F 0.610)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.203] [G acc: 0.121]\n",
      "2632 [D loss: (0.563)(R 0.599, F 0.526)] [D acc: (0.721)(0.625, 0.816)] [G loss: 1.245] [G acc: 0.090]\n",
      "2633 [D loss: (0.558)(R 0.580, F 0.536)] [D acc: (0.729)(0.645, 0.812)] [G loss: 1.156] [G acc: 0.156]\n",
      "2634 [D loss: (0.604)(R 0.618, F 0.590)] [D acc: (0.650)(0.555, 0.746)] [G loss: 1.146] [G acc: 0.109]\n",
      "2635 [D loss: (0.634)(R 0.639, F 0.628)] [D acc: (0.629)(0.562, 0.695)] [G loss: 1.155] [G acc: 0.133]\n",
      "2636 [D loss: (0.589)(R 0.596, F 0.582)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.092] [G acc: 0.188]\n",
      "2637 [D loss: (0.605)(R 0.618, F 0.593)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.200] [G acc: 0.145]\n",
      "2638 [D loss: (0.549)(R 0.544, F 0.554)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.169] [G acc: 0.148]\n",
      "2639 [D loss: (0.624)(R 0.661, F 0.587)] [D acc: (0.664)(0.562, 0.766)] [G loss: 1.130] [G acc: 0.145]\n",
      "2640 [D loss: (0.565)(R 0.567, F 0.563)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.150] [G acc: 0.148]\n",
      "2641 [D loss: (0.551)(R 0.588, F 0.513)] [D acc: (0.707)(0.609, 0.805)] [G loss: 1.143] [G acc: 0.168]\n",
      "2642 [D loss: (0.599)(R 0.597, F 0.602)] [D acc: (0.650)(0.590, 0.711)] [G loss: 1.203] [G acc: 0.148]\n",
      "2643 [D loss: (0.587)(R 0.593, F 0.582)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.128] [G acc: 0.137]\n",
      "2644 [D loss: (0.593)(R 0.549, F 0.637)] [D acc: (0.672)(0.656, 0.688)] [G loss: 1.168] [G acc: 0.152]\n",
      "2645 [D loss: (0.580)(R 0.576, F 0.584)] [D acc: (0.717)(0.656, 0.777)] [G loss: 1.179] [G acc: 0.141]\n",
      "2646 [D loss: (0.588)(R 0.589, F 0.588)] [D acc: (0.682)(0.652, 0.711)] [G loss: 1.253] [G acc: 0.125]\n",
      "2647 [D loss: (0.611)(R 0.645, F 0.576)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.170] [G acc: 0.105]\n",
      "2648 [D loss: (0.613)(R 0.590, F 0.636)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.153] [G acc: 0.156]\n",
      "2649 [D loss: (0.591)(R 0.585, F 0.596)] [D acc: (0.645)(0.586, 0.703)] [G loss: 1.074] [G acc: 0.168]\n",
      "2650 [D loss: (0.576)(R 0.594, F 0.557)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.096] [G acc: 0.145]\n",
      "2651 [D loss: (0.576)(R 0.544, F 0.607)] [D acc: (0.713)(0.688, 0.738)] [G loss: 1.147] [G acc: 0.117]\n",
      "2652 [D loss: (0.577)(R 0.582, F 0.571)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.210] [G acc: 0.125]\n",
      "2653 [D loss: (0.588)(R 0.637, F 0.538)] [D acc: (0.678)(0.590, 0.766)] [G loss: 1.222] [G acc: 0.113]\n",
      "2654 [D loss: (0.587)(R 0.593, F 0.580)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.183] [G acc: 0.117]\n",
      "2655 [D loss: (0.601)(R 0.616, F 0.586)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.140] [G acc: 0.133]\n",
      "2656 [D loss: (0.617)(R 0.599, F 0.635)] [D acc: (0.650)(0.582, 0.719)] [G loss: 1.175] [G acc: 0.121]\n",
      "2657 [D loss: (0.571)(R 0.635, F 0.507)] [D acc: (0.697)(0.570, 0.824)] [G loss: 1.134] [G acc: 0.129]\n",
      "2658 [D loss: (0.578)(R 0.596, F 0.560)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.145] [G acc: 0.184]\n",
      "2659 [D loss: (0.575)(R 0.600, F 0.549)] [D acc: (0.703)(0.598, 0.809)] [G loss: 1.215] [G acc: 0.129]\n",
      "2660 [D loss: (0.590)(R 0.576, F 0.604)] [D acc: (0.688)(0.652, 0.723)] [G loss: 1.229] [G acc: 0.133]\n",
      "2661 [D loss: (0.565)(R 0.582, F 0.547)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.210] [G acc: 0.133]\n",
      "2662 [D loss: (0.608)(R 0.584, F 0.631)] [D acc: (0.654)(0.621, 0.688)] [G loss: 1.095] [G acc: 0.164]\n",
      "2663 [D loss: (0.604)(R 0.588, F 0.619)] [D acc: (0.658)(0.605, 0.711)] [G loss: 1.193] [G acc: 0.117]\n",
      "2664 [D loss: (0.618)(R 0.666, F 0.570)] [D acc: (0.623)(0.512, 0.734)] [G loss: 1.150] [G acc: 0.113]\n",
      "2665 [D loss: (0.584)(R 0.596, F 0.572)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.067] [G acc: 0.172]\n",
      "2666 [D loss: (0.599)(R 0.652, F 0.546)] [D acc: (0.695)(0.574, 0.816)] [G loss: 1.151] [G acc: 0.117]\n",
      "2667 [D loss: (0.597)(R 0.574, F 0.621)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.093] [G acc: 0.137]\n",
      "2668 [D loss: (0.543)(R 0.542, F 0.544)] [D acc: (0.711)(0.645, 0.777)] [G loss: 1.166] [G acc: 0.125]\n",
      "2669 [D loss: (0.547)(R 0.527, F 0.568)] [D acc: (0.719)(0.680, 0.758)] [G loss: 1.159] [G acc: 0.133]\n",
      "2670 [D loss: (0.575)(R 0.578, F 0.571)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.162] [G acc: 0.137]\n",
      "2671 [D loss: (0.566)(R 0.596, F 0.536)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.117] [G acc: 0.164]\n",
      "2672 [D loss: (0.562)(R 0.560, F 0.564)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.090] [G acc: 0.152]\n",
      "2673 [D loss: (0.609)(R 0.541, F 0.676)] [D acc: (0.688)(0.672, 0.703)] [G loss: 1.180] [G acc: 0.141]\n",
      "2674 [D loss: (0.576)(R 0.588, F 0.564)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.180] [G acc: 0.129]\n",
      "2675 [D loss: (0.566)(R 0.555, F 0.577)] [D acc: (0.705)(0.625, 0.785)] [G loss: 1.319] [G acc: 0.113]\n",
      "2676 [D loss: (0.564)(R 0.599, F 0.528)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.200] [G acc: 0.152]\n",
      "2677 [D loss: (0.585)(R 0.562, F 0.608)] [D acc: (0.688)(0.652, 0.723)] [G loss: 1.308] [G acc: 0.113]\n",
      "2678 [D loss: (0.573)(R 0.608, F 0.539)] [D acc: (0.686)(0.598, 0.773)] [G loss: 1.279] [G acc: 0.117]\n",
      "2679 [D loss: (0.631)(R 0.666, F 0.596)] [D acc: (0.656)(0.570, 0.742)] [G loss: 1.187] [G acc: 0.141]\n",
      "2680 [D loss: (0.589)(R 0.537, F 0.641)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.235] [G acc: 0.090]\n",
      "2681 [D loss: (0.574)(R 0.554, F 0.593)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.226] [G acc: 0.152]\n",
      "2682 [D loss: (0.588)(R 0.598, F 0.578)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.178] [G acc: 0.152]\n",
      "2683 [D loss: (0.572)(R 0.555, F 0.588)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.102] [G acc: 0.188]\n",
      "2684 [D loss: (0.596)(R 0.622, F 0.570)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.144] [G acc: 0.195]\n",
      "2685 [D loss: (0.583)(R 0.577, F 0.590)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.219] [G acc: 0.125]\n",
      "2686 [D loss: (0.579)(R 0.607, F 0.550)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.156] [G acc: 0.164]\n",
      "2687 [D loss: (0.604)(R 0.634, F 0.574)] [D acc: (0.670)(0.578, 0.762)] [G loss: 1.173] [G acc: 0.156]\n",
      "2688 [D loss: (0.551)(R 0.567, F 0.535)] [D acc: (0.723)(0.633, 0.812)] [G loss: 1.226] [G acc: 0.094]\n",
      "2689 [D loss: (0.629)(R 0.644, F 0.614)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.084] [G acc: 0.148]\n",
      "2690 [D loss: (0.604)(R 0.606, F 0.602)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.119] [G acc: 0.156]\n",
      "2691 [D loss: (0.593)(R 0.595, F 0.591)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.154] [G acc: 0.141]\n",
      "2692 [D loss: (0.623)(R 0.607, F 0.638)] [D acc: (0.641)(0.586, 0.695)] [G loss: 1.127] [G acc: 0.105]\n",
      "2693 [D loss: (0.579)(R 0.611, F 0.548)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.177] [G acc: 0.117]\n",
      "2694 [D loss: (0.579)(R 0.591, F 0.568)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.118] [G acc: 0.105]\n",
      "2695 [D loss: (0.571)(R 0.569, F 0.572)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.151] [G acc: 0.125]\n",
      "2696 [D loss: (0.601)(R 0.612, F 0.590)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.149] [G acc: 0.129]\n",
      "2697 [D loss: (0.609)(R 0.587, F 0.631)] [D acc: (0.646)(0.621, 0.672)] [G loss: 1.084] [G acc: 0.168]\n",
      "2698 [D loss: (0.585)(R 0.562, F 0.608)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.119] [G acc: 0.168]\n",
      "2699 [D loss: (0.588)(R 0.605, F 0.570)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.138] [G acc: 0.172]\n",
      "2700 [D loss: (0.606)(R 0.602, F 0.610)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.124] [G acc: 0.137]\n",
      "2701 [D loss: (0.586)(R 0.616, F 0.557)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.097] [G acc: 0.180]\n",
      "2702 [D loss: (0.559)(R 0.567, F 0.552)] [D acc: (0.703)(0.641, 0.766)] [G loss: 1.103] [G acc: 0.148]\n",
      "2703 [D loss: (0.603)(R 0.527, F 0.679)] [D acc: (0.670)(0.668, 0.672)] [G loss: 1.170] [G acc: 0.148]\n",
      "2704 [D loss: (0.551)(R 0.580, F 0.521)] [D acc: (0.697)(0.605, 0.789)] [G loss: 1.359] [G acc: 0.098]\n",
      "2705 [D loss: (0.581)(R 0.579, F 0.582)] [D acc: (0.664)(0.574, 0.754)] [G loss: 1.195] [G acc: 0.125]\n",
      "2706 [D loss: (0.571)(R 0.564, F 0.579)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.153] [G acc: 0.141]\n",
      "2707 [D loss: (0.580)(R 0.575, F 0.586)] [D acc: (0.672)(0.629, 0.715)] [G loss: 1.198] [G acc: 0.121]\n",
      "2708 [D loss: (0.535)(R 0.508, F 0.562)] [D acc: (0.727)(0.699, 0.754)] [G loss: 1.199] [G acc: 0.133]\n",
      "2709 [D loss: (0.616)(R 0.609, F 0.624)] [D acc: (0.637)(0.590, 0.684)] [G loss: 1.119] [G acc: 0.168]\n",
      "2710 [D loss: (0.618)(R 0.630, F 0.605)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.065] [G acc: 0.176]\n",
      "2711 [D loss: (0.625)(R 0.599, F 0.651)] [D acc: (0.643)(0.609, 0.676)] [G loss: 1.100] [G acc: 0.160]\n",
      "2712 [D loss: (0.611)(R 0.598, F 0.625)] [D acc: (0.660)(0.605, 0.715)] [G loss: 1.112] [G acc: 0.168]\n",
      "2713 [D loss: (0.571)(R 0.572, F 0.569)] [D acc: (0.719)(0.664, 0.773)] [G loss: 1.203] [G acc: 0.121]\n",
      "2714 [D loss: (0.593)(R 0.597, F 0.589)] [D acc: (0.682)(0.633, 0.730)] [G loss: 1.179] [G acc: 0.141]\n",
      "2715 [D loss: (0.590)(R 0.611, F 0.570)] [D acc: (0.701)(0.613, 0.789)] [G loss: 1.189] [G acc: 0.133]\n",
      "2716 [D loss: (0.582)(R 0.573, F 0.591)] [D acc: (0.688)(0.676, 0.699)] [G loss: 1.293] [G acc: 0.113]\n",
      "2717 [D loss: (0.558)(R 0.612, F 0.503)] [D acc: (0.707)(0.582, 0.832)] [G loss: 1.272] [G acc: 0.078]\n",
      "2718 [D loss: (0.570)(R 0.558, F 0.581)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.230] [G acc: 0.090]\n",
      "2719 [D loss: (0.581)(R 0.526, F 0.636)] [D acc: (0.699)(0.672, 0.727)] [G loss: 1.166] [G acc: 0.141]\n",
      "2720 [D loss: (0.617)(R 0.602, F 0.632)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.177] [G acc: 0.141]\n",
      "2721 [D loss: (0.599)(R 0.653, F 0.544)] [D acc: (0.666)(0.566, 0.766)] [G loss: 1.116] [G acc: 0.164]\n",
      "2722 [D loss: (0.608)(R 0.620, F 0.597)] [D acc: (0.643)(0.586, 0.699)] [G loss: 1.115] [G acc: 0.164]\n",
      "2723 [D loss: (0.582)(R 0.606, F 0.557)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.195] [G acc: 0.156]\n",
      "2724 [D loss: (0.604)(R 0.637, F 0.572)] [D acc: (0.637)(0.547, 0.727)] [G loss: 1.164] [G acc: 0.184]\n",
      "2725 [D loss: (0.608)(R 0.606, F 0.611)] [D acc: (0.660)(0.613, 0.707)] [G loss: 1.135] [G acc: 0.133]\n",
      "2726 [D loss: (0.581)(R 0.575, F 0.588)] [D acc: (0.688)(0.652, 0.723)] [G loss: 1.151] [G acc: 0.121]\n",
      "2727 [D loss: (0.599)(R 0.649, F 0.548)] [D acc: (0.676)(0.562, 0.789)] [G loss: 1.170] [G acc: 0.141]\n",
      "2728 [D loss: (0.620)(R 0.646, F 0.594)] [D acc: (0.660)(0.574, 0.746)] [G loss: 1.141] [G acc: 0.156]\n",
      "2729 [D loss: (0.598)(R 0.623, F 0.574)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.107] [G acc: 0.176]\n",
      "2730 [D loss: (0.598)(R 0.591, F 0.604)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.145] [G acc: 0.172]\n",
      "2731 [D loss: (0.592)(R 0.608, F 0.575)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.131] [G acc: 0.109]\n",
      "2732 [D loss: (0.563)(R 0.591, F 0.535)] [D acc: (0.705)(0.625, 0.785)] [G loss: 1.227] [G acc: 0.113]\n",
      "2733 [D loss: (0.585)(R 0.589, F 0.580)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.188] [G acc: 0.109]\n",
      "2734 [D loss: (0.554)(R 0.581, F 0.528)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.141] [G acc: 0.148]\n",
      "2735 [D loss: (0.600)(R 0.615, F 0.585)] [D acc: (0.654)(0.562, 0.746)] [G loss: 1.201] [G acc: 0.141]\n",
      "2736 [D loss: (0.571)(R 0.605, F 0.537)] [D acc: (0.697)(0.605, 0.789)] [G loss: 1.183] [G acc: 0.129]\n",
      "2737 [D loss: (0.579)(R 0.578, F 0.580)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.152] [G acc: 0.152]\n",
      "2738 [D loss: (0.620)(R 0.605, F 0.635)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.107] [G acc: 0.137]\n",
      "2739 [D loss: (0.601)(R 0.602, F 0.601)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.145] [G acc: 0.191]\n",
      "2740 [D loss: (0.604)(R 0.626, F 0.582)] [D acc: (0.654)(0.578, 0.730)] [G loss: 1.117] [G acc: 0.168]\n",
      "2741 [D loss: (0.568)(R 0.554, F 0.581)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.173] [G acc: 0.109]\n",
      "2742 [D loss: (0.570)(R 0.556, F 0.584)] [D acc: (0.725)(0.664, 0.785)] [G loss: 1.157] [G acc: 0.125]\n",
      "2743 [D loss: (0.583)(R 0.625, F 0.541)] [D acc: (0.713)(0.617, 0.809)] [G loss: 1.149] [G acc: 0.145]\n",
      "2744 [D loss: (0.576)(R 0.576, F 0.575)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.188] [G acc: 0.148]\n",
      "2745 [D loss: (0.618)(R 0.627, F 0.609)] [D acc: (0.660)(0.590, 0.730)] [G loss: 1.130] [G acc: 0.141]\n",
      "2746 [D loss: (0.587)(R 0.569, F 0.605)] [D acc: (0.719)(0.668, 0.770)] [G loss: 1.195] [G acc: 0.148]\n",
      "2747 [D loss: (0.559)(R 0.567, F 0.551)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.165] [G acc: 0.152]\n",
      "2748 [D loss: (0.574)(R 0.521, F 0.626)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.213] [G acc: 0.129]\n",
      "2749 [D loss: (0.567)(R 0.589, F 0.546)] [D acc: (0.709)(0.609, 0.809)] [G loss: 1.177] [G acc: 0.121]\n",
      "2750 [D loss: (0.555)(R 0.547, F 0.564)] [D acc: (0.732)(0.664, 0.801)] [G loss: 1.063] [G acc: 0.199]\n",
      "2751 [D loss: (0.579)(R 0.554, F 0.604)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.218] [G acc: 0.105]\n",
      "2752 [D loss: (0.601)(R 0.605, F 0.597)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.160] [G acc: 0.145]\n",
      "2753 [D loss: (0.580)(R 0.565, F 0.596)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.196] [G acc: 0.102]\n",
      "2754 [D loss: (0.578)(R 0.608, F 0.548)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.165] [G acc: 0.145]\n",
      "2755 [D loss: (0.610)(R 0.624, F 0.596)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.088] [G acc: 0.180]\n",
      "2756 [D loss: (0.559)(R 0.557, F 0.561)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.263] [G acc: 0.133]\n",
      "2757 [D loss: (0.586)(R 0.627, F 0.545)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.171] [G acc: 0.152]\n",
      "2758 [D loss: (0.577)(R 0.600, F 0.554)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.166] [G acc: 0.113]\n",
      "2759 [D loss: (0.623)(R 0.662, F 0.584)] [D acc: (0.648)(0.551, 0.746)] [G loss: 1.200] [G acc: 0.121]\n",
      "2760 [D loss: (0.593)(R 0.607, F 0.579)] [D acc: (0.680)(0.613, 0.746)] [G loss: 1.175] [G acc: 0.129]\n",
      "2761 [D loss: (0.577)(R 0.597, F 0.556)] [D acc: (0.707)(0.617, 0.797)] [G loss: 1.221] [G acc: 0.117]\n",
      "2762 [D loss: (0.570)(R 0.567, F 0.572)] [D acc: (0.682)(0.621, 0.742)] [G loss: 1.272] [G acc: 0.125]\n",
      "2763 [D loss: (0.552)(R 0.596, F 0.508)] [D acc: (0.717)(0.609, 0.824)] [G loss: 1.226] [G acc: 0.121]\n",
      "2764 [D loss: (0.579)(R 0.570, F 0.588)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.239] [G acc: 0.145]\n",
      "2765 [D loss: (0.547)(R 0.567, F 0.527)] [D acc: (0.719)(0.621, 0.816)] [G loss: 1.271] [G acc: 0.090]\n",
      "2766 [D loss: (0.603)(R 0.599, F 0.607)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.191] [G acc: 0.117]\n",
      "2767 [D loss: (0.577)(R 0.605, F 0.548)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.251] [G acc: 0.082]\n",
      "2768 [D loss: (0.567)(R 0.572, F 0.562)] [D acc: (0.725)(0.641, 0.809)] [G loss: 1.371] [G acc: 0.102]\n",
      "2769 [D loss: (0.573)(R 0.587, F 0.559)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.297] [G acc: 0.102]\n",
      "2770 [D loss: (0.603)(R 0.646, F 0.560)] [D acc: (0.650)(0.551, 0.750)] [G loss: 1.205] [G acc: 0.145]\n",
      "2771 [D loss: (0.596)(R 0.589, F 0.603)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.213] [G acc: 0.121]\n",
      "2772 [D loss: (0.538)(R 0.529, F 0.548)] [D acc: (0.725)(0.668, 0.781)] [G loss: 1.189] [G acc: 0.160]\n",
      "2773 [D loss: (0.626)(R 0.629, F 0.623)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.104] [G acc: 0.180]\n",
      "2774 [D loss: (0.587)(R 0.559, F 0.615)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.097] [G acc: 0.188]\n",
      "2775 [D loss: (0.575)(R 0.548, F 0.602)] [D acc: (0.711)(0.688, 0.734)] [G loss: 1.231] [G acc: 0.145]\n",
      "2776 [D loss: (0.620)(R 0.625, F 0.614)] [D acc: (0.662)(0.602, 0.723)] [G loss: 1.241] [G acc: 0.137]\n",
      "2777 [D loss: (0.558)(R 0.570, F 0.545)] [D acc: (0.723)(0.629, 0.816)] [G loss: 1.269] [G acc: 0.086]\n",
      "2778 [D loss: (0.596)(R 0.639, F 0.552)] [D acc: (0.645)(0.551, 0.738)] [G loss: 1.203] [G acc: 0.129]\n",
      "2779 [D loss: (0.583)(R 0.568, F 0.598)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.176] [G acc: 0.113]\n",
      "2780 [D loss: (0.625)(R 0.649, F 0.602)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.132] [G acc: 0.125]\n",
      "2781 [D loss: (0.610)(R 0.651, F 0.569)] [D acc: (0.646)(0.547, 0.746)] [G loss: 1.153] [G acc: 0.129]\n",
      "2782 [D loss: (0.582)(R 0.624, F 0.540)] [D acc: (0.695)(0.605, 0.785)] [G loss: 1.084] [G acc: 0.176]\n",
      "2783 [D loss: (0.597)(R 0.633, F 0.561)] [D acc: (0.668)(0.582, 0.754)] [G loss: 1.138] [G acc: 0.176]\n",
      "2784 [D loss: (0.589)(R 0.589, F 0.589)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.123] [G acc: 0.133]\n",
      "2785 [D loss: (0.555)(R 0.573, F 0.538)] [D acc: (0.727)(0.660, 0.793)] [G loss: 1.216] [G acc: 0.129]\n",
      "2786 [D loss: (0.539)(R 0.559, F 0.519)] [D acc: (0.715)(0.617, 0.812)] [G loss: 1.221] [G acc: 0.094]\n",
      "2787 [D loss: (0.602)(R 0.596, F 0.609)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.161] [G acc: 0.137]\n",
      "2788 [D loss: (0.565)(R 0.611, F 0.519)] [D acc: (0.693)(0.574, 0.812)] [G loss: 1.154] [G acc: 0.137]\n",
      "2789 [D loss: (0.590)(R 0.588, F 0.592)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.107] [G acc: 0.152]\n",
      "2790 [D loss: (0.574)(R 0.571, F 0.578)] [D acc: (0.686)(0.637, 0.734)] [G loss: 1.115] [G acc: 0.184]\n",
      "2791 [D loss: (0.575)(R 0.573, F 0.578)] [D acc: (0.703)(0.648, 0.758)] [G loss: 1.146] [G acc: 0.172]\n",
      "2792 [D loss: (0.607)(R 0.620, F 0.594)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.286] [G acc: 0.109]\n",
      "2793 [D loss: (0.641)(R 0.688, F 0.593)] [D acc: (0.658)(0.566, 0.750)] [G loss: 1.116] [G acc: 0.145]\n",
      "2794 [D loss: (0.610)(R 0.586, F 0.635)] [D acc: (0.652)(0.617, 0.688)] [G loss: 1.070] [G acc: 0.141]\n",
      "2795 [D loss: (0.571)(R 0.612, F 0.531)] [D acc: (0.680)(0.574, 0.785)] [G loss: 1.120] [G acc: 0.156]\n",
      "2796 [D loss: (0.589)(R 0.581, F 0.597)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.172] [G acc: 0.105]\n",
      "2797 [D loss: (0.573)(R 0.551, F 0.595)] [D acc: (0.697)(0.668, 0.727)] [G loss: 1.238] [G acc: 0.117]\n",
      "2798 [D loss: (0.623)(R 0.680, F 0.566)] [D acc: (0.658)(0.543, 0.773)] [G loss: 1.108] [G acc: 0.137]\n",
      "2799 [D loss: (0.635)(R 0.575, F 0.695)] [D acc: (0.646)(0.602, 0.691)] [G loss: 1.119] [G acc: 0.125]\n",
      "2800 [D loss: (0.606)(R 0.599, F 0.613)] [D acc: (0.633)(0.559, 0.707)] [G loss: 1.152] [G acc: 0.121]\n",
      "2801 [D loss: (0.575)(R 0.592, F 0.559)] [D acc: (0.713)(0.621, 0.805)] [G loss: 1.093] [G acc: 0.180]\n",
      "2802 [D loss: (0.616)(R 0.622, F 0.610)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.088] [G acc: 0.152]\n",
      "2803 [D loss: (0.609)(R 0.611, F 0.607)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.115] [G acc: 0.145]\n",
      "2804 [D loss: (0.618)(R 0.593, F 0.643)] [D acc: (0.676)(0.648, 0.703)] [G loss: 1.209] [G acc: 0.145]\n",
      "2805 [D loss: (0.557)(R 0.602, F 0.512)] [D acc: (0.725)(0.621, 0.828)] [G loss: 1.251] [G acc: 0.090]\n",
      "2806 [D loss: (0.589)(R 0.620, F 0.558)] [D acc: (0.691)(0.609, 0.773)] [G loss: 1.091] [G acc: 0.184]\n",
      "2807 [D loss: (0.625)(R 0.605, F 0.646)] [D acc: (0.664)(0.590, 0.738)] [G loss: 1.117] [G acc: 0.125]\n",
      "2808 [D loss: (0.577)(R 0.595, F 0.560)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.183] [G acc: 0.105]\n",
      "2809 [D loss: (0.597)(R 0.594, F 0.599)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.146] [G acc: 0.148]\n",
      "2810 [D loss: (0.559)(R 0.574, F 0.543)] [D acc: (0.729)(0.680, 0.777)] [G loss: 1.144] [G acc: 0.180]\n",
      "2811 [D loss: (0.610)(R 0.583, F 0.638)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.176] [G acc: 0.145]\n",
      "2812 [D loss: (0.611)(R 0.636, F 0.586)] [D acc: (0.654)(0.555, 0.754)] [G loss: 1.133] [G acc: 0.129]\n",
      "2813 [D loss: (0.588)(R 0.588, F 0.589)] [D acc: (0.660)(0.621, 0.699)] [G loss: 1.093] [G acc: 0.176]\n",
      "2814 [D loss: (0.589)(R 0.566, F 0.613)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.198] [G acc: 0.137]\n",
      "2815 [D loss: (0.549)(R 0.586, F 0.512)] [D acc: (0.760)(0.684, 0.836)] [G loss: 1.251] [G acc: 0.129]\n",
      "2816 [D loss: (0.575)(R 0.530, F 0.620)] [D acc: (0.711)(0.695, 0.727)] [G loss: 1.262] [G acc: 0.148]\n",
      "2817 [D loss: (0.573)(R 0.605, F 0.542)] [D acc: (0.697)(0.605, 0.789)] [G loss: 1.211] [G acc: 0.113]\n",
      "2818 [D loss: (0.569)(R 0.591, F 0.548)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.168] [G acc: 0.176]\n",
      "2819 [D loss: (0.595)(R 0.594, F 0.596)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.074] [G acc: 0.168]\n",
      "2820 [D loss: (0.611)(R 0.632, F 0.590)] [D acc: (0.664)(0.621, 0.707)] [G loss: 1.197] [G acc: 0.137]\n",
      "2821 [D loss: (0.605)(R 0.596, F 0.614)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.183] [G acc: 0.117]\n",
      "2822 [D loss: (0.573)(R 0.572, F 0.574)] [D acc: (0.701)(0.672, 0.730)] [G loss: 1.246] [G acc: 0.133]\n",
      "2823 [D loss: (0.576)(R 0.621, F 0.532)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.282] [G acc: 0.070]\n",
      "2824 [D loss: (0.620)(R 0.633, F 0.606)] [D acc: (0.637)(0.543, 0.730)] [G loss: 1.134] [G acc: 0.145]\n",
      "2825 [D loss: (0.610)(R 0.626, F 0.595)] [D acc: (0.660)(0.586, 0.734)] [G loss: 1.151] [G acc: 0.172]\n",
      "2826 [D loss: (0.582)(R 0.603, F 0.560)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.162] [G acc: 0.148]\n",
      "2827 [D loss: (0.569)(R 0.600, F 0.537)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.127] [G acc: 0.148]\n",
      "2828 [D loss: (0.610)(R 0.575, F 0.646)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.142] [G acc: 0.156]\n",
      "2829 [D loss: (0.566)(R 0.551, F 0.582)] [D acc: (0.703)(0.680, 0.727)] [G loss: 1.159] [G acc: 0.156]\n",
      "2830 [D loss: (0.644)(R 0.659, F 0.629)] [D acc: (0.650)(0.594, 0.707)] [G loss: 1.148] [G acc: 0.125]\n",
      "2831 [D loss: (0.613)(R 0.626, F 0.600)] [D acc: (0.639)(0.590, 0.688)] [G loss: 1.131] [G acc: 0.117]\n",
      "2832 [D loss: (0.614)(R 0.614, F 0.613)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.101] [G acc: 0.121]\n",
      "2833 [D loss: (0.596)(R 0.582, F 0.610)] [D acc: (0.680)(0.613, 0.746)] [G loss: 1.048] [G acc: 0.180]\n",
      "2834 [D loss: (0.590)(R 0.570, F 0.611)] [D acc: (0.678)(0.637, 0.719)] [G loss: 1.169] [G acc: 0.129]\n",
      "2835 [D loss: (0.545)(R 0.572, F 0.518)] [D acc: (0.711)(0.641, 0.781)] [G loss: 1.160] [G acc: 0.133]\n",
      "2836 [D loss: (0.559)(R 0.563, F 0.555)] [D acc: (0.709)(0.648, 0.770)] [G loss: 1.210] [G acc: 0.145]\n",
      "2837 [D loss: (0.600)(R 0.614, F 0.587)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.141] [G acc: 0.125]\n",
      "2838 [D loss: (0.588)(R 0.582, F 0.594)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.160] [G acc: 0.113]\n",
      "2839 [D loss: (0.588)(R 0.635, F 0.541)] [D acc: (0.674)(0.559, 0.789)] [G loss: 1.155] [G acc: 0.125]\n",
      "2840 [D loss: (0.564)(R 0.571, F 0.558)] [D acc: (0.693)(0.629, 0.758)] [G loss: 1.194] [G acc: 0.141]\n",
      "2841 [D loss: (0.542)(R 0.532, F 0.552)] [D acc: (0.725)(0.672, 0.777)] [G loss: 1.191] [G acc: 0.129]\n",
      "2842 [D loss: (0.581)(R 0.551, F 0.611)] [D acc: (0.699)(0.676, 0.723)] [G loss: 1.174] [G acc: 0.137]\n",
      "2843 [D loss: (0.576)(R 0.567, F 0.584)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.220] [G acc: 0.098]\n",
      "2844 [D loss: (0.582)(R 0.593, F 0.571)] [D acc: (0.672)(0.602, 0.742)] [G loss: 1.212] [G acc: 0.109]\n",
      "2845 [D loss: (0.584)(R 0.578, F 0.590)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.222] [G acc: 0.129]\n",
      "2846 [D loss: (0.565)(R 0.592, F 0.538)] [D acc: (0.699)(0.602, 0.797)] [G loss: 1.219] [G acc: 0.125]\n",
      "2847 [D loss: (0.605)(R 0.625, F 0.585)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.280] [G acc: 0.102]\n",
      "2848 [D loss: (0.583)(R 0.600, F 0.566)] [D acc: (0.707)(0.617, 0.797)] [G loss: 1.189] [G acc: 0.109]\n",
      "2849 [D loss: (0.594)(R 0.626, F 0.561)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.135] [G acc: 0.125]\n",
      "2850 [D loss: (0.611)(R 0.618, F 0.605)] [D acc: (0.672)(0.602, 0.742)] [G loss: 1.163] [G acc: 0.160]\n",
      "2851 [D loss: (0.621)(R 0.651, F 0.592)] [D acc: (0.639)(0.555, 0.723)] [G loss: 1.134] [G acc: 0.137]\n",
      "2852 [D loss: (0.578)(R 0.609, F 0.547)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.139] [G acc: 0.125]\n",
      "2853 [D loss: (0.590)(R 0.573, F 0.607)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.156] [G acc: 0.148]\n",
      "2854 [D loss: (0.567)(R 0.592, F 0.542)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.200] [G acc: 0.141]\n",
      "2855 [D loss: (0.544)(R 0.553, F 0.535)] [D acc: (0.715)(0.633, 0.797)] [G loss: 1.294] [G acc: 0.141]\n",
      "2856 [D loss: (0.597)(R 0.600, F 0.594)] [D acc: (0.695)(0.609, 0.781)] [G loss: 1.209] [G acc: 0.078]\n",
      "2857 [D loss: (0.581)(R 0.557, F 0.605)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.121] [G acc: 0.137]\n",
      "2858 [D loss: (0.575)(R 0.577, F 0.573)] [D acc: (0.717)(0.660, 0.773)] [G loss: 1.197] [G acc: 0.137]\n",
      "2859 [D loss: (0.562)(R 0.600, F 0.524)] [D acc: (0.719)(0.633, 0.805)] [G loss: 1.216] [G acc: 0.102]\n",
      "2860 [D loss: (0.576)(R 0.571, F 0.581)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.179] [G acc: 0.137]\n",
      "2861 [D loss: (0.540)(R 0.512, F 0.568)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.212] [G acc: 0.121]\n",
      "2862 [D loss: (0.534)(R 0.516, F 0.553)] [D acc: (0.727)(0.684, 0.770)] [G loss: 1.163] [G acc: 0.199]\n",
      "2863 [D loss: (0.577)(R 0.517, F 0.638)] [D acc: (0.689)(0.684, 0.695)] [G loss: 1.148] [G acc: 0.156]\n",
      "2864 [D loss: (0.607)(R 0.601, F 0.612)] [D acc: (0.643)(0.605, 0.680)] [G loss: 1.242] [G acc: 0.125]\n",
      "2865 [D loss: (0.545)(R 0.576, F 0.515)] [D acc: (0.717)(0.621, 0.812)] [G loss: 1.270] [G acc: 0.086]\n",
      "2866 [D loss: (0.591)(R 0.610, F 0.572)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.152] [G acc: 0.152]\n",
      "2867 [D loss: (0.574)(R 0.563, F 0.584)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.108] [G acc: 0.188]\n",
      "2868 [D loss: (0.581)(R 0.552, F 0.611)] [D acc: (0.705)(0.668, 0.742)] [G loss: 1.157] [G acc: 0.129]\n",
      "2869 [D loss: (0.583)(R 0.625, F 0.540)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.177] [G acc: 0.156]\n",
      "2870 [D loss: (0.564)(R 0.575, F 0.554)] [D acc: (0.699)(0.609, 0.789)] [G loss: 1.263] [G acc: 0.121]\n",
      "2871 [D loss: (0.587)(R 0.578, F 0.595)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.205] [G acc: 0.145]\n",
      "2872 [D loss: (0.570)(R 0.566, F 0.574)] [D acc: (0.723)(0.676, 0.770)] [G loss: 1.133] [G acc: 0.156]\n",
      "2873 [D loss: (0.611)(R 0.612, F 0.609)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.157] [G acc: 0.164]\n",
      "2874 [D loss: (0.558)(R 0.584, F 0.531)] [D acc: (0.721)(0.656, 0.785)] [G loss: 1.249] [G acc: 0.098]\n",
      "2875 [D loss: (0.545)(R 0.546, F 0.544)] [D acc: (0.730)(0.699, 0.762)] [G loss: 1.183] [G acc: 0.148]\n",
      "2876 [D loss: (0.531)(R 0.557, F 0.504)] [D acc: (0.746)(0.672, 0.820)] [G loss: 1.240] [G acc: 0.098]\n",
      "2877 [D loss: (0.585)(R 0.537, F 0.634)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.155] [G acc: 0.152]\n",
      "2878 [D loss: (0.557)(R 0.554, F 0.560)] [D acc: (0.729)(0.676, 0.781)] [G loss: 1.254] [G acc: 0.133]\n",
      "2879 [D loss: (0.591)(R 0.575, F 0.606)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.182] [G acc: 0.137]\n",
      "2880 [D loss: (0.560)(R 0.576, F 0.544)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.167] [G acc: 0.168]\n",
      "2881 [D loss: (0.607)(R 0.611, F 0.602)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.253] [G acc: 0.082]\n",
      "2882 [D loss: (0.588)(R 0.605, F 0.571)] [D acc: (0.684)(0.598, 0.770)] [G loss: 1.183] [G acc: 0.090]\n",
      "2883 [D loss: (0.624)(R 0.664, F 0.585)] [D acc: (0.639)(0.508, 0.770)] [G loss: 1.145] [G acc: 0.113]\n",
      "2884 [D loss: (0.596)(R 0.572, F 0.620)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.145] [G acc: 0.148]\n",
      "2885 [D loss: (0.601)(R 0.614, F 0.589)] [D acc: (0.662)(0.574, 0.750)] [G loss: 1.108] [G acc: 0.109]\n",
      "2886 [D loss: (0.602)(R 0.628, F 0.575)] [D acc: (0.695)(0.609, 0.781)] [G loss: 1.097] [G acc: 0.168]\n",
      "2887 [D loss: (0.570)(R 0.548, F 0.593)] [D acc: (0.707)(0.680, 0.734)] [G loss: 1.108] [G acc: 0.145]\n",
      "2888 [D loss: (0.550)(R 0.540, F 0.560)] [D acc: (0.699)(0.664, 0.734)] [G loss: 1.129] [G acc: 0.137]\n",
      "2889 [D loss: (0.595)(R 0.599, F 0.592)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.143] [G acc: 0.102]\n",
      "2890 [D loss: (0.623)(R 0.611, F 0.634)] [D acc: (0.645)(0.594, 0.695)] [G loss: 1.206] [G acc: 0.094]\n",
      "2891 [D loss: (0.593)(R 0.623, F 0.562)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.174] [G acc: 0.148]\n",
      "2892 [D loss: (0.614)(R 0.658, F 0.571)] [D acc: (0.693)(0.551, 0.836)] [G loss: 1.182] [G acc: 0.105]\n",
      "2893 [D loss: (0.611)(R 0.602, F 0.619)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.105] [G acc: 0.129]\n",
      "2894 [D loss: (0.588)(R 0.613, F 0.563)] [D acc: (0.688)(0.609, 0.766)] [G loss: 1.113] [G acc: 0.148]\n",
      "2895 [D loss: (0.566)(R 0.566, F 0.566)] [D acc: (0.725)(0.680, 0.770)] [G loss: 1.094] [G acc: 0.180]\n",
      "2896 [D loss: (0.600)(R 0.609, F 0.592)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.130] [G acc: 0.148]\n",
      "2897 [D loss: (0.612)(R 0.624, F 0.600)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.145] [G acc: 0.133]\n",
      "2898 [D loss: (0.606)(R 0.572, F 0.639)] [D acc: (0.688)(0.664, 0.711)] [G loss: 1.052] [G acc: 0.191]\n",
      "2899 [D loss: (0.605)(R 0.635, F 0.575)] [D acc: (0.660)(0.566, 0.754)] [G loss: 1.184] [G acc: 0.102]\n",
      "2900 [D loss: (0.600)(R 0.603, F 0.596)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.127] [G acc: 0.164]\n",
      "2901 [D loss: (0.581)(R 0.620, F 0.543)] [D acc: (0.705)(0.598, 0.812)] [G loss: 1.160] [G acc: 0.105]\n",
      "2902 [D loss: (0.592)(R 0.538, F 0.645)] [D acc: (0.674)(0.637, 0.711)] [G loss: 1.096] [G acc: 0.180]\n",
      "2903 [D loss: (0.571)(R 0.613, F 0.528)] [D acc: (0.686)(0.574, 0.797)] [G loss: 1.183] [G acc: 0.133]\n",
      "2904 [D loss: (0.553)(R 0.578, F 0.528)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.233] [G acc: 0.129]\n",
      "2905 [D loss: (0.665)(R 0.654, F 0.676)] [D acc: (0.617)(0.570, 0.664)] [G loss: 1.147] [G acc: 0.125]\n",
      "2906 [D loss: (0.595)(R 0.537, F 0.652)] [D acc: (0.666)(0.676, 0.656)] [G loss: 1.134] [G acc: 0.105]\n",
      "2907 [D loss: (0.582)(R 0.620, F 0.544)] [D acc: (0.699)(0.590, 0.809)] [G loss: 1.128] [G acc: 0.137]\n",
      "2908 [D loss: (0.545)(R 0.537, F 0.553)] [D acc: (0.721)(0.676, 0.766)] [G loss: 1.165] [G acc: 0.164]\n",
      "2909 [D loss: (0.603)(R 0.568, F 0.638)] [D acc: (0.664)(0.637, 0.691)] [G loss: 1.123] [G acc: 0.164]\n",
      "2910 [D loss: (0.599)(R 0.562, F 0.635)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.146] [G acc: 0.195]\n",
      "2911 [D loss: (0.588)(R 0.623, F 0.552)] [D acc: (0.674)(0.570, 0.777)] [G loss: 1.105] [G acc: 0.129]\n",
      "2912 [D loss: (0.619)(R 0.576, F 0.661)] [D acc: (0.627)(0.594, 0.660)] [G loss: 1.218] [G acc: 0.172]\n",
      "2913 [D loss: (0.557)(R 0.619, F 0.494)] [D acc: (0.723)(0.621, 0.824)] [G loss: 1.280] [G acc: 0.082]\n",
      "2914 [D loss: (0.565)(R 0.545, F 0.585)] [D acc: (0.732)(0.695, 0.770)] [G loss: 1.152] [G acc: 0.137]\n",
      "2915 [D loss: (0.524)(R 0.495, F 0.553)] [D acc: (0.738)(0.711, 0.766)] [G loss: 1.152] [G acc: 0.188]\n",
      "2916 [D loss: (0.573)(R 0.537, F 0.609)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.158] [G acc: 0.160]\n",
      "2917 [D loss: (0.593)(R 0.594, F 0.592)] [D acc: (0.672)(0.641, 0.703)] [G loss: 1.219] [G acc: 0.156]\n",
      "2918 [D loss: (0.579)(R 0.589, F 0.569)] [D acc: (0.689)(0.648, 0.730)] [G loss: 1.262] [G acc: 0.117]\n",
      "2919 [D loss: (0.613)(R 0.559, F 0.668)] [D acc: (0.658)(0.613, 0.703)] [G loss: 1.121] [G acc: 0.141]\n",
      "2920 [D loss: (0.570)(R 0.607, F 0.534)] [D acc: (0.725)(0.637, 0.812)] [G loss: 1.264] [G acc: 0.145]\n",
      "2921 [D loss: (0.561)(R 0.584, F 0.538)] [D acc: (0.717)(0.637, 0.797)] [G loss: 1.250] [G acc: 0.113]\n",
      "2922 [D loss: (0.622)(R 0.624, F 0.619)] [D acc: (0.639)(0.574, 0.703)] [G loss: 1.207] [G acc: 0.148]\n",
      "2923 [D loss: (0.562)(R 0.569, F 0.554)] [D acc: (0.719)(0.641, 0.797)] [G loss: 1.145] [G acc: 0.148]\n",
      "2924 [D loss: (0.608)(R 0.635, F 0.581)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.174] [G acc: 0.164]\n",
      "2925 [D loss: (0.534)(R 0.531, F 0.536)] [D acc: (0.713)(0.633, 0.793)] [G loss: 1.137] [G acc: 0.160]\n",
      "2926 [D loss: (0.609)(R 0.581, F 0.637)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.196] [G acc: 0.145]\n",
      "2927 [D loss: (0.588)(R 0.609, F 0.566)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.205] [G acc: 0.133]\n",
      "2928 [D loss: (0.590)(R 0.586, F 0.594)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.186] [G acc: 0.117]\n",
      "2929 [D loss: (0.545)(R 0.552, F 0.538)] [D acc: (0.727)(0.656, 0.797)] [G loss: 1.234] [G acc: 0.125]\n",
      "2930 [D loss: (0.609)(R 0.631, F 0.588)] [D acc: (0.648)(0.570, 0.727)] [G loss: 1.186] [G acc: 0.086]\n",
      "2931 [D loss: (0.588)(R 0.564, F 0.611)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.186] [G acc: 0.145]\n",
      "2932 [D loss: (0.589)(R 0.583, F 0.594)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.138] [G acc: 0.156]\n",
      "2933 [D loss: (0.585)(R 0.640, F 0.529)] [D acc: (0.684)(0.574, 0.793)] [G loss: 1.214] [G acc: 0.117]\n",
      "2934 [D loss: (0.595)(R 0.586, F 0.603)] [D acc: (0.684)(0.648, 0.719)] [G loss: 1.238] [G acc: 0.113]\n",
      "2935 [D loss: (0.578)(R 0.621, F 0.534)] [D acc: (0.713)(0.578, 0.848)] [G loss: 1.225] [G acc: 0.105]\n",
      "2936 [D loss: (0.585)(R 0.591, F 0.579)] [D acc: (0.697)(0.617, 0.777)] [G loss: 1.193] [G acc: 0.164]\n",
      "2937 [D loss: (0.636)(R 0.640, F 0.633)] [D acc: (0.650)(0.602, 0.699)] [G loss: 1.215] [G acc: 0.082]\n",
      "2938 [D loss: (0.579)(R 0.625, F 0.534)] [D acc: (0.689)(0.574, 0.805)] [G loss: 1.185] [G acc: 0.137]\n",
      "2939 [D loss: (0.583)(R 0.562, F 0.604)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.134] [G acc: 0.137]\n",
      "2940 [D loss: (0.556)(R 0.579, F 0.532)] [D acc: (0.715)(0.613, 0.816)] [G loss: 1.149] [G acc: 0.113]\n",
      "2941 [D loss: (0.607)(R 0.619, F 0.595)] [D acc: (0.688)(0.598, 0.777)] [G loss: 1.119] [G acc: 0.145]\n",
      "2942 [D loss: (0.615)(R 0.661, F 0.569)] [D acc: (0.643)(0.535, 0.750)] [G loss: 1.136] [G acc: 0.117]\n",
      "2943 [D loss: (0.573)(R 0.612, F 0.534)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.192] [G acc: 0.105]\n",
      "2944 [D loss: (0.531)(R 0.499, F 0.563)] [D acc: (0.734)(0.695, 0.773)] [G loss: 1.175] [G acc: 0.121]\n",
      "2945 [D loss: (0.581)(R 0.574, F 0.587)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.126] [G acc: 0.168]\n",
      "2946 [D loss: (0.590)(R 0.649, F 0.530)] [D acc: (0.660)(0.539, 0.781)] [G loss: 1.214] [G acc: 0.125]\n",
      "2947 [D loss: (0.576)(R 0.570, F 0.581)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.111] [G acc: 0.172]\n",
      "2948 [D loss: (0.550)(R 0.534, F 0.565)] [D acc: (0.729)(0.676, 0.781)] [G loss: 1.182] [G acc: 0.133]\n",
      "2949 [D loss: (0.577)(R 0.590, F 0.564)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.153] [G acc: 0.145]\n",
      "2950 [D loss: (0.595)(R 0.517, F 0.673)] [D acc: (0.689)(0.691, 0.688)] [G loss: 1.188] [G acc: 0.160]\n",
      "2951 [D loss: (0.568)(R 0.582, F 0.553)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.121] [G acc: 0.176]\n",
      "2952 [D loss: (0.588)(R 0.571, F 0.605)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.152] [G acc: 0.156]\n",
      "2953 [D loss: (0.582)(R 0.586, F 0.578)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.196] [G acc: 0.094]\n",
      "2954 [D loss: (0.594)(R 0.562, F 0.626)] [D acc: (0.684)(0.672, 0.695)] [G loss: 1.259] [G acc: 0.113]\n",
      "2955 [D loss: (0.568)(R 0.620, F 0.516)] [D acc: (0.705)(0.602, 0.809)] [G loss: 1.399] [G acc: 0.051]\n",
      "2956 [D loss: (0.596)(R 0.607, F 0.586)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.279] [G acc: 0.102]\n",
      "2957 [D loss: (0.646)(R 0.648, F 0.645)] [D acc: (0.619)(0.555, 0.684)] [G loss: 1.092] [G acc: 0.133]\n",
      "2958 [D loss: (0.585)(R 0.544, F 0.626)] [D acc: (0.650)(0.613, 0.688)] [G loss: 1.151] [G acc: 0.148]\n",
      "2959 [D loss: (0.577)(R 0.585, F 0.569)] [D acc: (0.686)(0.582, 0.789)] [G loss: 1.125] [G acc: 0.117]\n",
      "2960 [D loss: (0.607)(R 0.588, F 0.625)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.106] [G acc: 0.148]\n",
      "2961 [D loss: (0.570)(R 0.574, F 0.566)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.132] [G acc: 0.141]\n",
      "2962 [D loss: (0.540)(R 0.554, F 0.526)] [D acc: (0.729)(0.637, 0.820)] [G loss: 1.129] [G acc: 0.156]\n",
      "2963 [D loss: (0.569)(R 0.561, F 0.577)] [D acc: (0.684)(0.625, 0.742)] [G loss: 1.218] [G acc: 0.113]\n",
      "2964 [D loss: (0.612)(R 0.608, F 0.615)] [D acc: (0.648)(0.586, 0.711)] [G loss: 1.098] [G acc: 0.156]\n",
      "2965 [D loss: (0.568)(R 0.591, F 0.544)] [D acc: (0.693)(0.605, 0.781)] [G loss: 1.193] [G acc: 0.113]\n",
      "2966 [D loss: (0.588)(R 0.561, F 0.614)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.223] [G acc: 0.105]\n",
      "2967 [D loss: (0.600)(R 0.661, F 0.539)] [D acc: (0.674)(0.551, 0.797)] [G loss: 1.326] [G acc: 0.078]\n",
      "2968 [D loss: (0.593)(R 0.625, F 0.561)] [D acc: (0.664)(0.559, 0.770)] [G loss: 1.184] [G acc: 0.133]\n",
      "2969 [D loss: (0.592)(R 0.622, F 0.562)] [D acc: (0.705)(0.590, 0.820)] [G loss: 1.190] [G acc: 0.141]\n",
      "2970 [D loss: (0.531)(R 0.492, F 0.570)] [D acc: (0.721)(0.672, 0.770)] [G loss: 1.252] [G acc: 0.117]\n",
      "2971 [D loss: (0.584)(R 0.564, F 0.604)] [D acc: (0.723)(0.660, 0.785)] [G loss: 1.222] [G acc: 0.117]\n",
      "2972 [D loss: (0.599)(R 0.632, F 0.565)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.260] [G acc: 0.098]\n",
      "2973 [D loss: (0.543)(R 0.584, F 0.503)] [D acc: (0.727)(0.625, 0.828)] [G loss: 1.250] [G acc: 0.125]\n",
      "2974 [D loss: (0.591)(R 0.585, F 0.597)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.163] [G acc: 0.117]\n",
      "2975 [D loss: (0.562)(R 0.567, F 0.557)] [D acc: (0.721)(0.648, 0.793)] [G loss: 1.281] [G acc: 0.094]\n",
      "2976 [D loss: (0.575)(R 0.581, F 0.569)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.487] [G acc: 0.090]\n",
      "2977 [D loss: (0.629)(R 0.721, F 0.538)] [D acc: (0.670)(0.527, 0.812)] [G loss: 1.161] [G acc: 0.133]\n",
      "2978 [D loss: (0.578)(R 0.521, F 0.636)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.164] [G acc: 0.160]\n",
      "2979 [D loss: (0.550)(R 0.536, F 0.563)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.206] [G acc: 0.137]\n",
      "2980 [D loss: (0.584)(R 0.621, F 0.547)] [D acc: (0.688)(0.602, 0.773)] [G loss: 1.231] [G acc: 0.141]\n",
      "2981 [D loss: (0.570)(R 0.588, F 0.552)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.139] [G acc: 0.141]\n",
      "2982 [D loss: (0.606)(R 0.600, F 0.611)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.182] [G acc: 0.141]\n",
      "2983 [D loss: (0.553)(R 0.559, F 0.548)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.127] [G acc: 0.156]\n",
      "2984 [D loss: (0.580)(R 0.592, F 0.567)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.207] [G acc: 0.137]\n",
      "2985 [D loss: (0.578)(R 0.589, F 0.566)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.141] [G acc: 0.176]\n",
      "2986 [D loss: (0.592)(R 0.592, F 0.593)] [D acc: (0.713)(0.648, 0.777)] [G loss: 1.130] [G acc: 0.164]\n",
      "2987 [D loss: (0.604)(R 0.637, F 0.572)] [D acc: (0.668)(0.578, 0.758)] [G loss: 1.139] [G acc: 0.168]\n",
      "2988 [D loss: (0.623)(R 0.611, F 0.634)] [D acc: (0.650)(0.594, 0.707)] [G loss: 1.150] [G acc: 0.117]\n",
      "2989 [D loss: (0.588)(R 0.587, F 0.590)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.202] [G acc: 0.117]\n",
      "2990 [D loss: (0.574)(R 0.595, F 0.553)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.178] [G acc: 0.137]\n",
      "2991 [D loss: (0.559)(R 0.596, F 0.523)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.116] [G acc: 0.180]\n",
      "2992 [D loss: (0.616)(R 0.635, F 0.597)] [D acc: (0.652)(0.559, 0.746)] [G loss: 1.115] [G acc: 0.129]\n",
      "2993 [D loss: (0.607)(R 0.638, F 0.575)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.088] [G acc: 0.172]\n",
      "2994 [D loss: (0.618)(R 0.648, F 0.587)] [D acc: (0.664)(0.574, 0.754)] [G loss: 1.133] [G acc: 0.156]\n",
      "2995 [D loss: (0.590)(R 0.600, F 0.580)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.162] [G acc: 0.160]\n",
      "2996 [D loss: (0.600)(R 0.595, F 0.605)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.195] [G acc: 0.117]\n",
      "2997 [D loss: (0.587)(R 0.607, F 0.567)] [D acc: (0.652)(0.578, 0.727)] [G loss: 1.173] [G acc: 0.113]\n",
      "2998 [D loss: (0.550)(R 0.516, F 0.584)] [D acc: (0.721)(0.691, 0.750)] [G loss: 1.177] [G acc: 0.105]\n",
      "2999 [D loss: (0.591)(R 0.582, F 0.600)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.142] [G acc: 0.160]\n",
      "3000 [D loss: (0.594)(R 0.574, F 0.613)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.171] [G acc: 0.121]\n",
      "3001 [D loss: (0.546)(R 0.538, F 0.553)] [D acc: (0.729)(0.672, 0.785)] [G loss: 1.171] [G acc: 0.117]\n",
      "3002 [D loss: (0.561)(R 0.572, F 0.550)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.249] [G acc: 0.125]\n",
      "3003 [D loss: (0.626)(R 0.670, F 0.581)] [D acc: (0.650)(0.562, 0.738)] [G loss: 1.091] [G acc: 0.148]\n",
      "3004 [D loss: (0.660)(R 0.657, F 0.664)] [D acc: (0.623)(0.555, 0.691)] [G loss: 1.127] [G acc: 0.145]\n",
      "3005 [D loss: (0.584)(R 0.581, F 0.586)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.153] [G acc: 0.141]\n",
      "3006 [D loss: (0.572)(R 0.553, F 0.592)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.127] [G acc: 0.145]\n",
      "3007 [D loss: (0.586)(R 0.561, F 0.611)] [D acc: (0.719)(0.664, 0.773)] [G loss: 1.258] [G acc: 0.094]\n",
      "3008 [D loss: (0.594)(R 0.607, F 0.581)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.185] [G acc: 0.145]\n",
      "3009 [D loss: (0.591)(R 0.550, F 0.633)] [D acc: (0.676)(0.652, 0.699)] [G loss: 1.181] [G acc: 0.125]\n",
      "3010 [D loss: (0.577)(R 0.602, F 0.553)] [D acc: (0.709)(0.625, 0.793)] [G loss: 1.245] [G acc: 0.113]\n",
      "3011 [D loss: (0.598)(R 0.586, F 0.611)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.162] [G acc: 0.137]\n",
      "3012 [D loss: (0.595)(R 0.613, F 0.576)] [D acc: (0.703)(0.641, 0.766)] [G loss: 1.156] [G acc: 0.121]\n",
      "3013 [D loss: (0.596)(R 0.629, F 0.564)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.099] [G acc: 0.172]\n",
      "3014 [D loss: (0.588)(R 0.616, F 0.559)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.122] [G acc: 0.117]\n",
      "3015 [D loss: (0.592)(R 0.596, F 0.588)] [D acc: (0.672)(0.605, 0.738)] [G loss: 1.108] [G acc: 0.129]\n",
      "3016 [D loss: (0.554)(R 0.527, F 0.581)] [D acc: (0.732)(0.691, 0.773)] [G loss: 1.171] [G acc: 0.141]\n",
      "3017 [D loss: (0.597)(R 0.573, F 0.620)] [D acc: (0.668)(0.641, 0.695)] [G loss: 1.134] [G acc: 0.156]\n",
      "3018 [D loss: (0.567)(R 0.600, F 0.535)] [D acc: (0.697)(0.602, 0.793)] [G loss: 1.133] [G acc: 0.152]\n",
      "3019 [D loss: (0.614)(R 0.616, F 0.612)] [D acc: (0.633)(0.570, 0.695)] [G loss: 1.143] [G acc: 0.156]\n",
      "3020 [D loss: (0.600)(R 0.601, F 0.599)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.082] [G acc: 0.176]\n",
      "3021 [D loss: (0.578)(R 0.564, F 0.591)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.057] [G acc: 0.148]\n",
      "3022 [D loss: (0.575)(R 0.598, F 0.552)] [D acc: (0.680)(0.582, 0.777)] [G loss: 1.419] [G acc: 0.055]\n",
      "3023 [D loss: (0.673)(R 0.768, F 0.577)] [D acc: (0.621)(0.473, 0.770)] [G loss: 1.169] [G acc: 0.098]\n",
      "3024 [D loss: (0.605)(R 0.586, F 0.624)] [D acc: (0.666)(0.609, 0.723)] [G loss: 1.055] [G acc: 0.141]\n",
      "3025 [D loss: (0.585)(R 0.552, F 0.617)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.124] [G acc: 0.137]\n",
      "3026 [D loss: (0.586)(R 0.575, F 0.597)] [D acc: (0.709)(0.672, 0.746)] [G loss: 1.091] [G acc: 0.145]\n",
      "3027 [D loss: (0.582)(R 0.604, F 0.560)] [D acc: (0.670)(0.586, 0.754)] [G loss: 1.160] [G acc: 0.113]\n",
      "3028 [D loss: (0.563)(R 0.531, F 0.595)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.122] [G acc: 0.133]\n",
      "3029 [D loss: (0.618)(R 0.606, F 0.629)] [D acc: (0.650)(0.621, 0.680)] [G loss: 1.091] [G acc: 0.137]\n",
      "3030 [D loss: (0.636)(R 0.646, F 0.626)] [D acc: (0.633)(0.555, 0.711)] [G loss: 1.148] [G acc: 0.129]\n",
      "3031 [D loss: (0.554)(R 0.577, F 0.530)] [D acc: (0.721)(0.617, 0.824)] [G loss: 1.205] [G acc: 0.121]\n",
      "3032 [D loss: (0.586)(R 0.593, F 0.578)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.092] [G acc: 0.172]\n",
      "3033 [D loss: (0.579)(R 0.586, F 0.572)] [D acc: (0.668)(0.605, 0.730)] [G loss: 1.104] [G acc: 0.199]\n",
      "3034 [D loss: (0.574)(R 0.583, F 0.565)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.179] [G acc: 0.141]\n",
      "3035 [D loss: (0.593)(R 0.624, F 0.561)] [D acc: (0.680)(0.590, 0.770)] [G loss: 1.170] [G acc: 0.129]\n",
      "3036 [D loss: (0.596)(R 0.583, F 0.609)] [D acc: (0.641)(0.586, 0.695)] [G loss: 1.121] [G acc: 0.141]\n",
      "3037 [D loss: (0.570)(R 0.600, F 0.541)] [D acc: (0.711)(0.633, 0.789)] [G loss: 1.135] [G acc: 0.133]\n",
      "3038 [D loss: (0.584)(R 0.549, F 0.619)] [D acc: (0.678)(0.680, 0.676)] [G loss: 1.192] [G acc: 0.133]\n",
      "3039 [D loss: (0.554)(R 0.601, F 0.507)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.221] [G acc: 0.121]\n",
      "3040 [D loss: (0.598)(R 0.618, F 0.578)] [D acc: (0.684)(0.586, 0.781)] [G loss: 1.104] [G acc: 0.188]\n",
      "3041 [D loss: (0.605)(R 0.563, F 0.647)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.149] [G acc: 0.129]\n",
      "3042 [D loss: (0.564)(R 0.524, F 0.603)] [D acc: (0.693)(0.703, 0.684)] [G loss: 1.166] [G acc: 0.141]\n",
      "3043 [D loss: (0.558)(R 0.561, F 0.555)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.187] [G acc: 0.156]\n",
      "3044 [D loss: (0.575)(R 0.588, F 0.562)] [D acc: (0.678)(0.617, 0.738)] [G loss: 1.185] [G acc: 0.152]\n",
      "3045 [D loss: (0.572)(R 0.631, F 0.514)] [D acc: (0.699)(0.594, 0.805)] [G loss: 1.220] [G acc: 0.125]\n",
      "3046 [D loss: (0.592)(R 0.550, F 0.634)] [D acc: (0.686)(0.691, 0.680)] [G loss: 1.237] [G acc: 0.168]\n",
      "3047 [D loss: (0.554)(R 0.559, F 0.549)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.271] [G acc: 0.117]\n",
      "3048 [D loss: (0.601)(R 0.568, F 0.634)] [D acc: (0.662)(0.629, 0.695)] [G loss: 1.250] [G acc: 0.133]\n",
      "3049 [D loss: (0.599)(R 0.614, F 0.584)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.145] [G acc: 0.148]\n",
      "3050 [D loss: (0.564)(R 0.596, F 0.532)] [D acc: (0.721)(0.652, 0.789)] [G loss: 1.139] [G acc: 0.184]\n",
      "3051 [D loss: (0.581)(R 0.594, F 0.568)] [D acc: (0.715)(0.625, 0.805)] [G loss: 1.119] [G acc: 0.156]\n",
      "3052 [D loss: (0.571)(R 0.576, F 0.565)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.173] [G acc: 0.188]\n",
      "3053 [D loss: (0.572)(R 0.554, F 0.591)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.363] [G acc: 0.094]\n",
      "3054 [D loss: (0.651)(R 0.676, F 0.627)] [D acc: (0.611)(0.555, 0.668)] [G loss: 1.184] [G acc: 0.125]\n",
      "3055 [D loss: (0.598)(R 0.628, F 0.569)] [D acc: (0.682)(0.578, 0.785)] [G loss: 1.110] [G acc: 0.141]\n",
      "3056 [D loss: (0.610)(R 0.618, F 0.602)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.090] [G acc: 0.191]\n",
      "3057 [D loss: (0.568)(R 0.560, F 0.576)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.165] [G acc: 0.168]\n",
      "3058 [D loss: (0.613)(R 0.589, F 0.636)] [D acc: (0.666)(0.625, 0.707)] [G loss: 1.177] [G acc: 0.098]\n",
      "3059 [D loss: (0.619)(R 0.632, F 0.605)] [D acc: (0.654)(0.586, 0.723)] [G loss: 1.093] [G acc: 0.129]\n",
      "3060 [D loss: (0.587)(R 0.590, F 0.585)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.126] [G acc: 0.172]\n",
      "3061 [D loss: (0.579)(R 0.575, F 0.584)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.148] [G acc: 0.145]\n",
      "3062 [D loss: (0.584)(R 0.587, F 0.582)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.152] [G acc: 0.113]\n",
      "3063 [D loss: (0.602)(R 0.592, F 0.612)] [D acc: (0.652)(0.621, 0.684)] [G loss: 1.100] [G acc: 0.156]\n",
      "3064 [D loss: (0.664)(R 0.676, F 0.651)] [D acc: (0.627)(0.562, 0.691)] [G loss: 1.148] [G acc: 0.148]\n",
      "3065 [D loss: (0.565)(R 0.554, F 0.576)] [D acc: (0.721)(0.648, 0.793)] [G loss: 1.171] [G acc: 0.133]\n",
      "3066 [D loss: (0.580)(R 0.569, F 0.590)] [D acc: (0.684)(0.617, 0.750)] [G loss: 1.132] [G acc: 0.141]\n",
      "3067 [D loss: (0.603)(R 0.622, F 0.584)] [D acc: (0.684)(0.586, 0.781)] [G loss: 1.158] [G acc: 0.137]\n",
      "3068 [D loss: (0.589)(R 0.652, F 0.525)] [D acc: (0.678)(0.559, 0.797)] [G loss: 1.169] [G acc: 0.152]\n",
      "3069 [D loss: (0.621)(R 0.596, F 0.647)] [D acc: (0.635)(0.594, 0.676)] [G loss: 1.223] [G acc: 0.105]\n",
      "3070 [D loss: (0.627)(R 0.651, F 0.604)] [D acc: (0.660)(0.566, 0.754)] [G loss: 1.061] [G acc: 0.148]\n",
      "3071 [D loss: (0.584)(R 0.639, F 0.530)] [D acc: (0.688)(0.582, 0.793)] [G loss: 1.190] [G acc: 0.133]\n",
      "3072 [D loss: (0.573)(R 0.574, F 0.573)] [D acc: (0.717)(0.652, 0.781)] [G loss: 1.160] [G acc: 0.145]\n",
      "3073 [D loss: (0.570)(R 0.573, F 0.567)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.179] [G acc: 0.152]\n",
      "3074 [D loss: (0.589)(R 0.573, F 0.605)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.203] [G acc: 0.160]\n",
      "3075 [D loss: (0.599)(R 0.713, F 0.485)] [D acc: (0.680)(0.484, 0.875)] [G loss: 1.235] [G acc: 0.078]\n",
      "3076 [D loss: (0.549)(R 0.522, F 0.576)] [D acc: (0.727)(0.691, 0.762)] [G loss: 1.151] [G acc: 0.172]\n",
      "3077 [D loss: (0.565)(R 0.541, F 0.589)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.089] [G acc: 0.152]\n",
      "3078 [D loss: (0.575)(R 0.554, F 0.597)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.135] [G acc: 0.184]\n",
      "3079 [D loss: (0.596)(R 0.530, F 0.662)] [D acc: (0.703)(0.676, 0.730)] [G loss: 1.172] [G acc: 0.141]\n",
      "3080 [D loss: (0.564)(R 0.584, F 0.544)] [D acc: (0.715)(0.609, 0.820)] [G loss: 1.227] [G acc: 0.074]\n",
      "3081 [D loss: (0.576)(R 0.562, F 0.590)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.175] [G acc: 0.164]\n",
      "3082 [D loss: (0.578)(R 0.583, F 0.573)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.192] [G acc: 0.141]\n",
      "3083 [D loss: (0.645)(R 0.648, F 0.641)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.088] [G acc: 0.164]\n",
      "3084 [D loss: (0.584)(R 0.623, F 0.545)] [D acc: (0.670)(0.570, 0.770)] [G loss: 1.123] [G acc: 0.160]\n",
      "3085 [D loss: (0.578)(R 0.572, F 0.584)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.157] [G acc: 0.160]\n",
      "3086 [D loss: (0.545)(R 0.578, F 0.511)] [D acc: (0.736)(0.660, 0.812)] [G loss: 1.136] [G acc: 0.180]\n",
      "3087 [D loss: (0.667)(R 0.605, F 0.728)] [D acc: (0.631)(0.582, 0.680)] [G loss: 1.216] [G acc: 0.129]\n",
      "3088 [D loss: (0.601)(R 0.612, F 0.589)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.116] [G acc: 0.129]\n",
      "3089 [D loss: (0.566)(R 0.568, F 0.564)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.095] [G acc: 0.180]\n",
      "3090 [D loss: (0.570)(R 0.617, F 0.523)] [D acc: (0.678)(0.562, 0.793)] [G loss: 1.160] [G acc: 0.160]\n",
      "3091 [D loss: (0.614)(R 0.615, F 0.612)] [D acc: (0.654)(0.602, 0.707)] [G loss: 1.099] [G acc: 0.164]\n",
      "3092 [D loss: (0.586)(R 0.588, F 0.583)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.144] [G acc: 0.180]\n",
      "3093 [D loss: (0.596)(R 0.601, F 0.590)] [D acc: (0.691)(0.617, 0.766)] [G loss: 1.188] [G acc: 0.098]\n",
      "3094 [D loss: (0.608)(R 0.670, F 0.545)] [D acc: (0.676)(0.555, 0.797)] [G loss: 1.147] [G acc: 0.102]\n",
      "3095 [D loss: (0.567)(R 0.570, F 0.564)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.065] [G acc: 0.242]\n",
      "3096 [D loss: (0.579)(R 0.576, F 0.583)] [D acc: (0.711)(0.668, 0.754)] [G loss: 1.158] [G acc: 0.172]\n",
      "3097 [D loss: (0.598)(R 0.580, F 0.616)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.081] [G acc: 0.203]\n",
      "3098 [D loss: (0.567)(R 0.559, F 0.574)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.106] [G acc: 0.164]\n",
      "3099 [D loss: (0.567)(R 0.551, F 0.583)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.101] [G acc: 0.152]\n",
      "3100 [D loss: (0.573)(R 0.579, F 0.566)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.220] [G acc: 0.109]\n",
      "3101 [D loss: (0.594)(R 0.644, F 0.544)] [D acc: (0.684)(0.555, 0.812)] [G loss: 1.157] [G acc: 0.109]\n",
      "3102 [D loss: (0.579)(R 0.564, F 0.594)] [D acc: (0.709)(0.672, 0.746)] [G loss: 1.165] [G acc: 0.184]\n",
      "3103 [D loss: (0.544)(R 0.583, F 0.504)] [D acc: (0.723)(0.621, 0.824)] [G loss: 1.160] [G acc: 0.145]\n",
      "3104 [D loss: (0.592)(R 0.530, F 0.653)] [D acc: (0.676)(0.676, 0.676)] [G loss: 1.264] [G acc: 0.113]\n",
      "3105 [D loss: (0.633)(R 0.678, F 0.587)] [D acc: (0.650)(0.555, 0.746)] [G loss: 1.212] [G acc: 0.125]\n",
      "3106 [D loss: (0.590)(R 0.575, F 0.606)] [D acc: (0.691)(0.656, 0.727)] [G loss: 1.197] [G acc: 0.156]\n",
      "3107 [D loss: (0.566)(R 0.580, F 0.553)] [D acc: (0.701)(0.621, 0.781)] [G loss: 1.173] [G acc: 0.152]\n",
      "3108 [D loss: (0.611)(R 0.550, F 0.673)] [D acc: (0.654)(0.664, 0.645)] [G loss: 1.154] [G acc: 0.180]\n",
      "3109 [D loss: (0.554)(R 0.555, F 0.553)] [D acc: (0.717)(0.648, 0.785)] [G loss: 1.176] [G acc: 0.117]\n",
      "3110 [D loss: (0.583)(R 0.608, F 0.557)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.107] [G acc: 0.172]\n",
      "3111 [D loss: (0.584)(R 0.581, F 0.586)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.158] [G acc: 0.148]\n",
      "3112 [D loss: (0.587)(R 0.573, F 0.601)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.148] [G acc: 0.141]\n",
      "3113 [D loss: (0.562)(R 0.551, F 0.573)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.110] [G acc: 0.191]\n",
      "3114 [D loss: (0.635)(R 0.641, F 0.629)] [D acc: (0.627)(0.562, 0.691)] [G loss: 1.131] [G acc: 0.168]\n",
      "3115 [D loss: (0.605)(R 0.568, F 0.642)] [D acc: (0.682)(0.656, 0.707)] [G loss: 1.188] [G acc: 0.145]\n",
      "3116 [D loss: (0.583)(R 0.607, F 0.559)] [D acc: (0.674)(0.598, 0.750)] [G loss: 1.215] [G acc: 0.098]\n",
      "3117 [D loss: (0.583)(R 0.599, F 0.567)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.174] [G acc: 0.141]\n",
      "3118 [D loss: (0.550)(R 0.537, F 0.563)] [D acc: (0.709)(0.668, 0.750)] [G loss: 1.159] [G acc: 0.105]\n",
      "3119 [D loss: (0.593)(R 0.611, F 0.576)] [D acc: (0.664)(0.555, 0.773)] [G loss: 1.193] [G acc: 0.152]\n",
      "3120 [D loss: (0.575)(R 0.633, F 0.518)] [D acc: (0.717)(0.613, 0.820)] [G loss: 1.242] [G acc: 0.105]\n",
      "3121 [D loss: (0.566)(R 0.589, F 0.543)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.146] [G acc: 0.160]\n",
      "3122 [D loss: (0.560)(R 0.540, F 0.579)] [D acc: (0.688)(0.656, 0.719)] [G loss: 1.115] [G acc: 0.148]\n",
      "3123 [D loss: (0.604)(R 0.579, F 0.628)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.124] [G acc: 0.164]\n",
      "3124 [D loss: (0.579)(R 0.618, F 0.540)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.175] [G acc: 0.145]\n",
      "3125 [D loss: (0.551)(R 0.594, F 0.508)] [D acc: (0.693)(0.582, 0.805)] [G loss: 1.269] [G acc: 0.102]\n",
      "3126 [D loss: (0.628)(R 0.629, F 0.627)] [D acc: (0.654)(0.594, 0.715)] [G loss: 1.136] [G acc: 0.148]\n",
      "3127 [D loss: (0.585)(R 0.558, F 0.611)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.149] [G acc: 0.148]\n",
      "3128 [D loss: (0.623)(R 0.596, F 0.650)] [D acc: (0.654)(0.609, 0.699)] [G loss: 1.169] [G acc: 0.145]\n",
      "3129 [D loss: (0.589)(R 0.593, F 0.585)] [D acc: (0.707)(0.672, 0.742)] [G loss: 1.134] [G acc: 0.148]\n",
      "3130 [D loss: (0.597)(R 0.566, F 0.628)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.169] [G acc: 0.109]\n",
      "3131 [D loss: (0.548)(R 0.526, F 0.569)] [D acc: (0.699)(0.664, 0.734)] [G loss: 1.213] [G acc: 0.121]\n",
      "3132 [D loss: (0.568)(R 0.559, F 0.577)] [D acc: (0.682)(0.637, 0.727)] [G loss: 1.101] [G acc: 0.188]\n",
      "3133 [D loss: (0.592)(R 0.643, F 0.540)] [D acc: (0.693)(0.590, 0.797)] [G loss: 1.262] [G acc: 0.078]\n",
      "3134 [D loss: (0.585)(R 0.580, F 0.589)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.195] [G acc: 0.180]\n",
      "3135 [D loss: (0.516)(R 0.554, F 0.478)] [D acc: (0.719)(0.625, 0.812)] [G loss: 1.203] [G acc: 0.152]\n",
      "3136 [D loss: (0.650)(R 0.602, F 0.698)] [D acc: (0.666)(0.641, 0.691)] [G loss: 1.118] [G acc: 0.176]\n",
      "3137 [D loss: (0.566)(R 0.530, F 0.602)] [D acc: (0.705)(0.684, 0.727)] [G loss: 1.158] [G acc: 0.191]\n",
      "3138 [D loss: (0.575)(R 0.586, F 0.563)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.180] [G acc: 0.156]\n",
      "3139 [D loss: (0.614)(R 0.589, F 0.639)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.195] [G acc: 0.117]\n",
      "3140 [D loss: (0.593)(R 0.617, F 0.568)] [D acc: (0.684)(0.598, 0.770)] [G loss: 1.215] [G acc: 0.105]\n",
      "3141 [D loss: (0.586)(R 0.607, F 0.565)] [D acc: (0.670)(0.574, 0.766)] [G loss: 1.153] [G acc: 0.180]\n",
      "3142 [D loss: (0.592)(R 0.582, F 0.603)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.180] [G acc: 0.129]\n",
      "3143 [D loss: (0.618)(R 0.606, F 0.629)] [D acc: (0.660)(0.613, 0.707)] [G loss: 1.134] [G acc: 0.133]\n",
      "3144 [D loss: (0.587)(R 0.605, F 0.568)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.154] [G acc: 0.145]\n",
      "3145 [D loss: (0.573)(R 0.601, F 0.546)] [D acc: (0.686)(0.598, 0.773)] [G loss: 1.163] [G acc: 0.156]\n",
      "3146 [D loss: (0.589)(R 0.624, F 0.553)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.124] [G acc: 0.188]\n",
      "3147 [D loss: (0.574)(R 0.547, F 0.601)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.154] [G acc: 0.113]\n",
      "3148 [D loss: (0.563)(R 0.562, F 0.565)] [D acc: (0.703)(0.629, 0.777)] [G loss: 1.348] [G acc: 0.125]\n",
      "3149 [D loss: (0.584)(R 0.669, F 0.500)] [D acc: (0.678)(0.559, 0.797)] [G loss: 1.339] [G acc: 0.070]\n",
      "3150 [D loss: (0.600)(R 0.580, F 0.620)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.227] [G acc: 0.156]\n",
      "3151 [D loss: (0.605)(R 0.627, F 0.583)] [D acc: (0.654)(0.559, 0.750)] [G loss: 1.147] [G acc: 0.188]\n",
      "3152 [D loss: (0.612)(R 0.622, F 0.601)] [D acc: (0.637)(0.559, 0.715)] [G loss: 1.148] [G acc: 0.141]\n",
      "3153 [D loss: (0.635)(R 0.631, F 0.639)] [D acc: (0.639)(0.586, 0.691)] [G loss: 1.128] [G acc: 0.180]\n",
      "3154 [D loss: (0.611)(R 0.627, F 0.596)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.133] [G acc: 0.180]\n",
      "3155 [D loss: (0.574)(R 0.600, F 0.548)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.249] [G acc: 0.129]\n",
      "3156 [D loss: (0.557)(R 0.589, F 0.526)] [D acc: (0.711)(0.605, 0.816)] [G loss: 1.200] [G acc: 0.109]\n",
      "3157 [D loss: (0.543)(R 0.531, F 0.556)] [D acc: (0.725)(0.676, 0.773)] [G loss: 1.143] [G acc: 0.188]\n",
      "3158 [D loss: (0.582)(R 0.620, F 0.544)] [D acc: (0.691)(0.594, 0.789)] [G loss: 1.168] [G acc: 0.145]\n",
      "3159 [D loss: (0.612)(R 0.633, F 0.592)] [D acc: (0.664)(0.598, 0.730)] [G loss: 1.167] [G acc: 0.156]\n",
      "3160 [D loss: (0.602)(R 0.598, F 0.606)] [D acc: (0.666)(0.598, 0.734)] [G loss: 1.182] [G acc: 0.141]\n",
      "3161 [D loss: (0.602)(R 0.546, F 0.658)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.144] [G acc: 0.176]\n",
      "3162 [D loss: (0.567)(R 0.560, F 0.574)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.162] [G acc: 0.152]\n",
      "3163 [D loss: (0.546)(R 0.543, F 0.549)] [D acc: (0.721)(0.664, 0.777)] [G loss: 1.162] [G acc: 0.164]\n",
      "3164 [D loss: (0.556)(R 0.574, F 0.538)] [D acc: (0.732)(0.629, 0.836)] [G loss: 1.247] [G acc: 0.090]\n",
      "3165 [D loss: (0.602)(R 0.570, F 0.634)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.195] [G acc: 0.133]\n",
      "3166 [D loss: (0.556)(R 0.562, F 0.550)] [D acc: (0.707)(0.656, 0.758)] [G loss: 1.154] [G acc: 0.137]\n",
      "3167 [D loss: (0.589)(R 0.579, F 0.599)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.218] [G acc: 0.141]\n",
      "3168 [D loss: (0.579)(R 0.601, F 0.557)] [D acc: (0.711)(0.613, 0.809)] [G loss: 1.197] [G acc: 0.133]\n",
      "3169 [D loss: (0.557)(R 0.546, F 0.569)] [D acc: (0.715)(0.660, 0.770)] [G loss: 1.252] [G acc: 0.121]\n",
      "3170 [D loss: (0.576)(R 0.595, F 0.557)] [D acc: (0.664)(0.586, 0.742)] [G loss: 1.185] [G acc: 0.141]\n",
      "3171 [D loss: (0.537)(R 0.518, F 0.556)] [D acc: (0.723)(0.684, 0.762)] [G loss: 1.193] [G acc: 0.125]\n",
      "3172 [D loss: (0.534)(R 0.553, F 0.515)] [D acc: (0.744)(0.637, 0.852)] [G loss: 1.219] [G acc: 0.133]\n",
      "3173 [D loss: (0.619)(R 0.616, F 0.623)] [D acc: (0.658)(0.609, 0.707)] [G loss: 1.195] [G acc: 0.125]\n",
      "3174 [D loss: (0.619)(R 0.653, F 0.585)] [D acc: (0.664)(0.562, 0.766)] [G loss: 1.260] [G acc: 0.094]\n",
      "3175 [D loss: (0.604)(R 0.596, F 0.613)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.127] [G acc: 0.184]\n",
      "3176 [D loss: (0.595)(R 0.613, F 0.577)] [D acc: (0.684)(0.590, 0.777)] [G loss: 1.143] [G acc: 0.168]\n",
      "3177 [D loss: (0.569)(R 0.588, F 0.549)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.170] [G acc: 0.145]\n",
      "3178 [D loss: (0.615)(R 0.569, F 0.660)] [D acc: (0.646)(0.633, 0.660)] [G loss: 1.160] [G acc: 0.148]\n",
      "3179 [D loss: (0.568)(R 0.602, F 0.535)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.149] [G acc: 0.164]\n",
      "3180 [D loss: (0.592)(R 0.609, F 0.576)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.120] [G acc: 0.168]\n",
      "3181 [D loss: (0.598)(R 0.629, F 0.567)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.061] [G acc: 0.172]\n",
      "3182 [D loss: (0.587)(R 0.582, F 0.592)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.120] [G acc: 0.156]\n",
      "3183 [D loss: (0.586)(R 0.580, F 0.593)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.142] [G acc: 0.145]\n",
      "3184 [D loss: (0.586)(R 0.618, F 0.553)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.206] [G acc: 0.125]\n",
      "3185 [D loss: (0.555)(R 0.583, F 0.528)] [D acc: (0.703)(0.617, 0.789)] [G loss: 1.197] [G acc: 0.137]\n",
      "3186 [D loss: (0.602)(R 0.581, F 0.623)] [D acc: (0.654)(0.621, 0.688)] [G loss: 1.092] [G acc: 0.176]\n",
      "3187 [D loss: (0.573)(R 0.529, F 0.616)] [D acc: (0.703)(0.691, 0.715)] [G loss: 1.093] [G acc: 0.164]\n",
      "3188 [D loss: (0.566)(R 0.585, F 0.547)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.202] [G acc: 0.137]\n",
      "3189 [D loss: (0.557)(R 0.549, F 0.566)] [D acc: (0.729)(0.684, 0.773)] [G loss: 1.304] [G acc: 0.109]\n",
      "3190 [D loss: (0.554)(R 0.552, F 0.556)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.185] [G acc: 0.195]\n",
      "3191 [D loss: (0.613)(R 0.581, F 0.645)] [D acc: (0.682)(0.637, 0.727)] [G loss: 1.136] [G acc: 0.195]\n",
      "3192 [D loss: (0.572)(R 0.598, F 0.547)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.131] [G acc: 0.152]\n",
      "3193 [D loss: (0.607)(R 0.582, F 0.631)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.150] [G acc: 0.172]\n",
      "3194 [D loss: (0.577)(R 0.590, F 0.563)] [D acc: (0.713)(0.656, 0.770)] [G loss: 1.108] [G acc: 0.148]\n",
      "3195 [D loss: (0.598)(R 0.589, F 0.608)] [D acc: (0.672)(0.633, 0.711)] [G loss: 1.177] [G acc: 0.148]\n",
      "3196 [D loss: (0.608)(R 0.589, F 0.626)] [D acc: (0.678)(0.648, 0.707)] [G loss: 1.171] [G acc: 0.156]\n",
      "3197 [D loss: (0.573)(R 0.561, F 0.585)] [D acc: (0.713)(0.680, 0.746)] [G loss: 1.162] [G acc: 0.148]\n",
      "3198 [D loss: (0.579)(R 0.602, F 0.557)] [D acc: (0.688)(0.590, 0.785)] [G loss: 1.128] [G acc: 0.164]\n",
      "3199 [D loss: (0.585)(R 0.581, F 0.589)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.162] [G acc: 0.172]\n",
      "3200 [D loss: (0.617)(R 0.635, F 0.599)] [D acc: (0.666)(0.586, 0.746)] [G loss: 1.131] [G acc: 0.176]\n",
      "3201 [D loss: (0.615)(R 0.634, F 0.595)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.112] [G acc: 0.156]\n",
      "3202 [D loss: (0.555)(R 0.557, F 0.553)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.245] [G acc: 0.125]\n",
      "3203 [D loss: (0.601)(R 0.627, F 0.575)] [D acc: (0.670)(0.586, 0.754)] [G loss: 1.110] [G acc: 0.156]\n",
      "3204 [D loss: (0.609)(R 0.623, F 0.594)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.229] [G acc: 0.070]\n",
      "3205 [D loss: (0.588)(R 0.613, F 0.563)] [D acc: (0.670)(0.574, 0.766)] [G loss: 1.079] [G acc: 0.195]\n",
      "3206 [D loss: (0.607)(R 0.611, F 0.604)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.124] [G acc: 0.164]\n",
      "3207 [D loss: (0.599)(R 0.634, F 0.565)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.159] [G acc: 0.152]\n",
      "3208 [D loss: (0.618)(R 0.563, F 0.672)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.169] [G acc: 0.133]\n",
      "3209 [D loss: (0.577)(R 0.581, F 0.574)] [D acc: (0.701)(0.660, 0.742)] [G loss: 1.159] [G acc: 0.191]\n",
      "3210 [D loss: (0.579)(R 0.612, F 0.546)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.161] [G acc: 0.129]\n",
      "3211 [D loss: (0.597)(R 0.580, F 0.614)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.176] [G acc: 0.160]\n",
      "3212 [D loss: (0.529)(R 0.531, F 0.528)] [D acc: (0.740)(0.668, 0.812)] [G loss: 1.171] [G acc: 0.137]\n",
      "3213 [D loss: (0.600)(R 0.607, F 0.593)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.215] [G acc: 0.141]\n",
      "3214 [D loss: (0.576)(R 0.579, F 0.572)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.231] [G acc: 0.117]\n",
      "3215 [D loss: (0.609)(R 0.595, F 0.622)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.066] [G acc: 0.188]\n",
      "3216 [D loss: (0.579)(R 0.592, F 0.566)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.065] [G acc: 0.215]\n",
      "3217 [D loss: (0.586)(R 0.565, F 0.607)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.161] [G acc: 0.129]\n",
      "3218 [D loss: (0.547)(R 0.525, F 0.570)] [D acc: (0.723)(0.680, 0.766)] [G loss: 1.144] [G acc: 0.199]\n",
      "3219 [D loss: (0.552)(R 0.521, F 0.583)] [D acc: (0.709)(0.691, 0.727)] [G loss: 1.155] [G acc: 0.180]\n",
      "3220 [D loss: (0.568)(R 0.548, F 0.587)] [D acc: (0.717)(0.676, 0.758)] [G loss: 1.205] [G acc: 0.137]\n",
      "3221 [D loss: (0.559)(R 0.608, F 0.511)] [D acc: (0.713)(0.602, 0.824)] [G loss: 1.222] [G acc: 0.129]\n",
      "3222 [D loss: (0.563)(R 0.554, F 0.572)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.159] [G acc: 0.137]\n",
      "3223 [D loss: (0.608)(R 0.629, F 0.588)] [D acc: (0.664)(0.609, 0.719)] [G loss: 1.202] [G acc: 0.137]\n",
      "3224 [D loss: (0.546)(R 0.548, F 0.543)] [D acc: (0.717)(0.676, 0.758)] [G loss: 1.249] [G acc: 0.121]\n",
      "3225 [D loss: (0.616)(R 0.651, F 0.580)] [D acc: (0.660)(0.586, 0.734)] [G loss: 1.312] [G acc: 0.137]\n",
      "3226 [D loss: (0.567)(R 0.606, F 0.527)] [D acc: (0.703)(0.609, 0.797)] [G loss: 1.273] [G acc: 0.102]\n",
      "3227 [D loss: (0.598)(R 0.583, F 0.613)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.212] [G acc: 0.184]\n",
      "3228 [D loss: (0.592)(R 0.608, F 0.575)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.203] [G acc: 0.148]\n",
      "3229 [D loss: (0.544)(R 0.540, F 0.548)] [D acc: (0.705)(0.656, 0.754)] [G loss: 1.149] [G acc: 0.207]\n",
      "3230 [D loss: (0.606)(R 0.607, F 0.605)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.172] [G acc: 0.156]\n",
      "3231 [D loss: (0.565)(R 0.560, F 0.569)] [D acc: (0.719)(0.688, 0.750)] [G loss: 1.214] [G acc: 0.121]\n",
      "3232 [D loss: (0.596)(R 0.570, F 0.623)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.269] [G acc: 0.105]\n",
      "3233 [D loss: (0.607)(R 0.652, F 0.563)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.185] [G acc: 0.168]\n",
      "3234 [D loss: (0.595)(R 0.636, F 0.555)] [D acc: (0.650)(0.566, 0.734)] [G loss: 1.222] [G acc: 0.113]\n",
      "3235 [D loss: (0.573)(R 0.592, F 0.554)] [D acc: (0.721)(0.656, 0.785)] [G loss: 1.193] [G acc: 0.152]\n",
      "3236 [D loss: (0.572)(R 0.539, F 0.605)] [D acc: (0.688)(0.672, 0.703)] [G loss: 1.191] [G acc: 0.137]\n",
      "3237 [D loss: (0.570)(R 0.538, F 0.601)] [D acc: (0.684)(0.656, 0.711)] [G loss: 1.192] [G acc: 0.145]\n",
      "3238 [D loss: (0.596)(R 0.619, F 0.572)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.236] [G acc: 0.109]\n",
      "3239 [D loss: (0.593)(R 0.587, F 0.599)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.248] [G acc: 0.156]\n",
      "3240 [D loss: (0.595)(R 0.628, F 0.561)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.299] [G acc: 0.094]\n",
      "3241 [D loss: (0.580)(R 0.566, F 0.593)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.234] [G acc: 0.141]\n",
      "3242 [D loss: (0.563)(R 0.603, F 0.522)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.156] [G acc: 0.172]\n",
      "3243 [D loss: (0.595)(R 0.615, F 0.575)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.165] [G acc: 0.160]\n",
      "3244 [D loss: (0.576)(R 0.572, F 0.580)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.174] [G acc: 0.180]\n",
      "3245 [D loss: (0.632)(R 0.653, F 0.611)] [D acc: (0.643)(0.590, 0.695)] [G loss: 1.231] [G acc: 0.145]\n",
      "3246 [D loss: (0.598)(R 0.600, F 0.596)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.218] [G acc: 0.109]\n",
      "3247 [D loss: (0.616)(R 0.634, F 0.597)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.152] [G acc: 0.188]\n",
      "3248 [D loss: (0.599)(R 0.638, F 0.559)] [D acc: (0.686)(0.598, 0.773)] [G loss: 1.189] [G acc: 0.172]\n",
      "3249 [D loss: (0.633)(R 0.680, F 0.586)] [D acc: (0.629)(0.555, 0.703)] [G loss: 1.095] [G acc: 0.168]\n",
      "3250 [D loss: (0.564)(R 0.564, F 0.564)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.122] [G acc: 0.184]\n",
      "3251 [D loss: (0.586)(R 0.568, F 0.603)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.121] [G acc: 0.203]\n",
      "3252 [D loss: (0.611)(R 0.574, F 0.649)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.131] [G acc: 0.180]\n",
      "3253 [D loss: (0.554)(R 0.530, F 0.579)] [D acc: (0.688)(0.664, 0.711)] [G loss: 1.165] [G acc: 0.145]\n",
      "3254 [D loss: (0.588)(R 0.588, F 0.588)] [D acc: (0.650)(0.590, 0.711)] [G loss: 1.201] [G acc: 0.109]\n",
      "3255 [D loss: (0.574)(R 0.579, F 0.569)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.143] [G acc: 0.168]\n",
      "3256 [D loss: (0.624)(R 0.631, F 0.617)] [D acc: (0.633)(0.574, 0.691)] [G loss: 1.138] [G acc: 0.121]\n",
      "3257 [D loss: (0.598)(R 0.579, F 0.616)] [D acc: (0.652)(0.605, 0.699)] [G loss: 1.099] [G acc: 0.156]\n",
      "3258 [D loss: (0.573)(R 0.585, F 0.562)] [D acc: (0.705)(0.629, 0.781)] [G loss: 1.199] [G acc: 0.125]\n",
      "3259 [D loss: (0.618)(R 0.610, F 0.626)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.193] [G acc: 0.105]\n",
      "3260 [D loss: (0.632)(R 0.664, F 0.600)] [D acc: (0.646)(0.578, 0.715)] [G loss: 1.122] [G acc: 0.137]\n",
      "3261 [D loss: (0.579)(R 0.557, F 0.602)] [D acc: (0.691)(0.660, 0.723)] [G loss: 1.207] [G acc: 0.121]\n",
      "3262 [D loss: (0.617)(R 0.585, F 0.649)] [D acc: (0.670)(0.656, 0.684)] [G loss: 1.152] [G acc: 0.133]\n",
      "3263 [D loss: (0.596)(R 0.652, F 0.539)] [D acc: (0.656)(0.535, 0.777)] [G loss: 1.153] [G acc: 0.098]\n",
      "3264 [D loss: (0.559)(R 0.557, F 0.560)] [D acc: (0.717)(0.684, 0.750)] [G loss: 1.171] [G acc: 0.160]\n",
      "3265 [D loss: (0.611)(R 0.620, F 0.603)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.167] [G acc: 0.102]\n",
      "3266 [D loss: (0.586)(R 0.590, F 0.582)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.168] [G acc: 0.152]\n",
      "3267 [D loss: (0.576)(R 0.615, F 0.538)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.186] [G acc: 0.113]\n",
      "3268 [D loss: (0.555)(R 0.546, F 0.564)] [D acc: (0.686)(0.664, 0.707)] [G loss: 1.120] [G acc: 0.168]\n",
      "3269 [D loss: (0.608)(R 0.618, F 0.599)] [D acc: (0.662)(0.562, 0.762)] [G loss: 1.126] [G acc: 0.160]\n",
      "3270 [D loss: (0.577)(R 0.600, F 0.554)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.093] [G acc: 0.164]\n",
      "3271 [D loss: (0.573)(R 0.553, F 0.592)] [D acc: (0.707)(0.672, 0.742)] [G loss: 1.129] [G acc: 0.184]\n",
      "3272 [D loss: (0.569)(R 0.583, F 0.556)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.158] [G acc: 0.141]\n",
      "3273 [D loss: (0.562)(R 0.543, F 0.580)] [D acc: (0.699)(0.672, 0.727)] [G loss: 1.194] [G acc: 0.129]\n",
      "3274 [D loss: (0.562)(R 0.580, F 0.543)] [D acc: (0.746)(0.664, 0.828)] [G loss: 1.290] [G acc: 0.082]\n",
      "3275 [D loss: (0.591)(R 0.568, F 0.614)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.225] [G acc: 0.102]\n",
      "3276 [D loss: (0.559)(R 0.554, F 0.565)] [D acc: (0.721)(0.656, 0.785)] [G loss: 1.207] [G acc: 0.129]\n",
      "3277 [D loss: (0.589)(R 0.589, F 0.590)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.172] [G acc: 0.137]\n",
      "3278 [D loss: (0.572)(R 0.555, F 0.590)] [D acc: (0.713)(0.688, 0.738)] [G loss: 1.132] [G acc: 0.164]\n",
      "3279 [D loss: (0.561)(R 0.526, F 0.596)] [D acc: (0.705)(0.684, 0.727)] [G loss: 1.159] [G acc: 0.133]\n",
      "3280 [D loss: (0.583)(R 0.610, F 0.555)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.213] [G acc: 0.105]\n",
      "3281 [D loss: (0.571)(R 0.544, F 0.597)] [D acc: (0.721)(0.672, 0.770)] [G loss: 1.399] [G acc: 0.105]\n",
      "3282 [D loss: (0.514)(R 0.585, F 0.443)] [D acc: (0.746)(0.637, 0.855)] [G loss: 1.483] [G acc: 0.039]\n",
      "3283 [D loss: (0.528)(R 0.524, F 0.531)] [D acc: (0.738)(0.680, 0.797)] [G loss: 1.326] [G acc: 0.078]\n",
      "3284 [D loss: (0.583)(R 0.560, F 0.607)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.218] [G acc: 0.156]\n",
      "3285 [D loss: (0.601)(R 0.573, F 0.630)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.250] [G acc: 0.148]\n",
      "3286 [D loss: (0.616)(R 0.642, F 0.590)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.243] [G acc: 0.184]\n",
      "3287 [D loss: (0.576)(R 0.592, F 0.560)] [D acc: (0.703)(0.613, 0.793)] [G loss: 1.181] [G acc: 0.180]\n",
      "3288 [D loss: (0.581)(R 0.577, F 0.586)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.231] [G acc: 0.129]\n",
      "3289 [D loss: (0.607)(R 0.613, F 0.602)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.197] [G acc: 0.148]\n",
      "3290 [D loss: (0.547)(R 0.584, F 0.509)] [D acc: (0.736)(0.648, 0.824)] [G loss: 1.224] [G acc: 0.148]\n",
      "3291 [D loss: (0.614)(R 0.634, F 0.594)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.110] [G acc: 0.188]\n",
      "3292 [D loss: (0.583)(R 0.577, F 0.589)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.137] [G acc: 0.180]\n",
      "3293 [D loss: (0.614)(R 0.658, F 0.570)] [D acc: (0.646)(0.535, 0.758)] [G loss: 1.241] [G acc: 0.137]\n",
      "3294 [D loss: (0.607)(R 0.655, F 0.559)] [D acc: (0.666)(0.539, 0.793)] [G loss: 1.141] [G acc: 0.141]\n",
      "3295 [D loss: (0.601)(R 0.598, F 0.603)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.142] [G acc: 0.141]\n",
      "3296 [D loss: (0.568)(R 0.542, F 0.594)] [D acc: (0.691)(0.652, 0.730)] [G loss: 1.114] [G acc: 0.141]\n",
      "3297 [D loss: (0.598)(R 0.593, F 0.602)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.152] [G acc: 0.188]\n",
      "3298 [D loss: (0.628)(R 0.626, F 0.630)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.159] [G acc: 0.125]\n",
      "3299 [D loss: (0.614)(R 0.634, F 0.594)] [D acc: (0.686)(0.590, 0.781)] [G loss: 1.140] [G acc: 0.133]\n",
      "3300 [D loss: (0.569)(R 0.604, F 0.535)] [D acc: (0.707)(0.625, 0.789)] [G loss: 1.163] [G acc: 0.105]\n",
      "3301 [D loss: (0.630)(R 0.621, F 0.639)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.139] [G acc: 0.168]\n",
      "3302 [D loss: (0.605)(R 0.613, F 0.596)] [D acc: (0.664)(0.621, 0.707)] [G loss: 1.136] [G acc: 0.156]\n",
      "3303 [D loss: (0.634)(R 0.648, F 0.620)] [D acc: (0.641)(0.555, 0.727)] [G loss: 1.177] [G acc: 0.117]\n",
      "3304 [D loss: (0.592)(R 0.605, F 0.579)] [D acc: (0.670)(0.613, 0.727)] [G loss: 1.123] [G acc: 0.148]\n",
      "3305 [D loss: (0.606)(R 0.638, F 0.574)] [D acc: (0.682)(0.586, 0.777)] [G loss: 1.110] [G acc: 0.133]\n",
      "3306 [D loss: (0.594)(R 0.634, F 0.555)] [D acc: (0.682)(0.586, 0.777)] [G loss: 1.162] [G acc: 0.141]\n",
      "3307 [D loss: (0.595)(R 0.618, F 0.572)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.104] [G acc: 0.168]\n",
      "3308 [D loss: (0.579)(R 0.614, F 0.544)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.078] [G acc: 0.176]\n",
      "3309 [D loss: (0.566)(R 0.532, F 0.600)] [D acc: (0.723)(0.668, 0.777)] [G loss: 1.112] [G acc: 0.160]\n",
      "3310 [D loss: (0.586)(R 0.592, F 0.580)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.151] [G acc: 0.125]\n",
      "3311 [D loss: (0.601)(R 0.571, F 0.631)] [D acc: (0.668)(0.660, 0.676)] [G loss: 1.118] [G acc: 0.156]\n",
      "3312 [D loss: (0.611)(R 0.583, F 0.639)] [D acc: (0.701)(0.664, 0.738)] [G loss: 1.137] [G acc: 0.125]\n",
      "3313 [D loss: (0.584)(R 0.590, F 0.579)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.113] [G acc: 0.160]\n",
      "3314 [D loss: (0.583)(R 0.567, F 0.600)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.108] [G acc: 0.121]\n",
      "3315 [D loss: (0.596)(R 0.589, F 0.602)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.109] [G acc: 0.168]\n",
      "3316 [D loss: (0.577)(R 0.570, F 0.585)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.141] [G acc: 0.156]\n",
      "3317 [D loss: (0.588)(R 0.591, F 0.584)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.137] [G acc: 0.180]\n",
      "3318 [D loss: (0.570)(R 0.587, F 0.554)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.126] [G acc: 0.180]\n",
      "3319 [D loss: (0.562)(R 0.551, F 0.573)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.140] [G acc: 0.148]\n",
      "3320 [D loss: (0.577)(R 0.575, F 0.579)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.125] [G acc: 0.188]\n",
      "3321 [D loss: (0.575)(R 0.557, F 0.592)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.244] [G acc: 0.125]\n",
      "3322 [D loss: (0.589)(R 0.635, F 0.543)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.214] [G acc: 0.160]\n",
      "3323 [D loss: (0.548)(R 0.592, F 0.505)] [D acc: (0.734)(0.621, 0.848)] [G loss: 1.355] [G acc: 0.086]\n",
      "3324 [D loss: (0.588)(R 0.591, F 0.585)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.185] [G acc: 0.168]\n",
      "3325 [D loss: (0.571)(R 0.555, F 0.588)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.099] [G acc: 0.164]\n",
      "3326 [D loss: (0.560)(R 0.569, F 0.551)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.158] [G acc: 0.191]\n",
      "3327 [D loss: (0.613)(R 0.582, F 0.645)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.131] [G acc: 0.160]\n",
      "3328 [D loss: (0.581)(R 0.591, F 0.570)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.233] [G acc: 0.121]\n",
      "3329 [D loss: (0.562)(R 0.609, F 0.515)] [D acc: (0.701)(0.590, 0.812)] [G loss: 1.284] [G acc: 0.105]\n",
      "3330 [D loss: (0.600)(R 0.592, F 0.609)] [D acc: (0.670)(0.602, 0.738)] [G loss: 1.143] [G acc: 0.191]\n",
      "3331 [D loss: (0.588)(R 0.578, F 0.598)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.128] [G acc: 0.121]\n",
      "3332 [D loss: (0.624)(R 0.619, F 0.630)] [D acc: (0.660)(0.594, 0.727)] [G loss: 1.253] [G acc: 0.109]\n",
      "3333 [D loss: (0.576)(R 0.617, F 0.536)] [D acc: (0.691)(0.598, 0.785)] [G loss: 1.202] [G acc: 0.137]\n",
      "3334 [D loss: (0.587)(R 0.569, F 0.605)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.218] [G acc: 0.129]\n",
      "3335 [D loss: (0.590)(R 0.637, F 0.543)] [D acc: (0.686)(0.590, 0.781)] [G loss: 1.251] [G acc: 0.113]\n",
      "3336 [D loss: (0.621)(R 0.624, F 0.619)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.207] [G acc: 0.129]\n",
      "3337 [D loss: (0.576)(R 0.587, F 0.566)] [D acc: (0.701)(0.613, 0.789)] [G loss: 1.172] [G acc: 0.141]\n",
      "3338 [D loss: (0.558)(R 0.541, F 0.574)] [D acc: (0.693)(0.672, 0.715)] [G loss: 1.217] [G acc: 0.113]\n",
      "3339 [D loss: (0.571)(R 0.524, F 0.619)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.147] [G acc: 0.141]\n",
      "3340 [D loss: (0.575)(R 0.620, F 0.530)] [D acc: (0.699)(0.609, 0.789)] [G loss: 1.292] [G acc: 0.086]\n",
      "3341 [D loss: (0.619)(R 0.610, F 0.629)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.252] [G acc: 0.102]\n",
      "3342 [D loss: (0.561)(R 0.584, F 0.539)] [D acc: (0.695)(0.617, 0.773)] [G loss: 1.262] [G acc: 0.129]\n",
      "3343 [D loss: (0.582)(R 0.604, F 0.561)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.230] [G acc: 0.117]\n",
      "3344 [D loss: (0.562)(R 0.578, F 0.546)] [D acc: (0.715)(0.656, 0.773)] [G loss: 1.182] [G acc: 0.168]\n",
      "3345 [D loss: (0.611)(R 0.588, F 0.635)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.164] [G acc: 0.145]\n",
      "3346 [D loss: (0.624)(R 0.647, F 0.601)] [D acc: (0.646)(0.566, 0.727)] [G loss: 1.094] [G acc: 0.141]\n",
      "3347 [D loss: (0.579)(R 0.606, F 0.553)] [D acc: (0.678)(0.590, 0.766)] [G loss: 1.157] [G acc: 0.176]\n",
      "3348 [D loss: (0.572)(R 0.584, F 0.559)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.224] [G acc: 0.094]\n",
      "3349 [D loss: (0.580)(R 0.608, F 0.552)] [D acc: (0.695)(0.609, 0.781)] [G loss: 1.108] [G acc: 0.184]\n",
      "3350 [D loss: (0.589)(R 0.593, F 0.585)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.099] [G acc: 0.184]\n",
      "3351 [D loss: (0.578)(R 0.557, F 0.599)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.097] [G acc: 0.191]\n",
      "3352 [D loss: (0.599)(R 0.581, F 0.617)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.138] [G acc: 0.168]\n",
      "3353 [D loss: (0.608)(R 0.655, F 0.561)] [D acc: (0.666)(0.555, 0.777)] [G loss: 1.109] [G acc: 0.191]\n",
      "3354 [D loss: (0.567)(R 0.576, F 0.558)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.160] [G acc: 0.176]\n",
      "3355 [D loss: (0.586)(R 0.624, F 0.547)] [D acc: (0.713)(0.598, 0.828)] [G loss: 1.205] [G acc: 0.117]\n",
      "3356 [D loss: (0.556)(R 0.543, F 0.570)] [D acc: (0.709)(0.668, 0.750)] [G loss: 1.233] [G acc: 0.145]\n",
      "3357 [D loss: (0.589)(R 0.586, F 0.593)] [D acc: (0.654)(0.586, 0.723)] [G loss: 1.144] [G acc: 0.148]\n",
      "3358 [D loss: (0.554)(R 0.535, F 0.573)] [D acc: (0.705)(0.691, 0.719)] [G loss: 1.119] [G acc: 0.137]\n",
      "3359 [D loss: (0.582)(R 0.603, F 0.560)] [D acc: (0.688)(0.602, 0.773)] [G loss: 1.258] [G acc: 0.125]\n",
      "3360 [D loss: (0.533)(R 0.557, F 0.508)] [D acc: (0.754)(0.699, 0.809)] [G loss: 1.342] [G acc: 0.094]\n",
      "3361 [D loss: (0.548)(R 0.508, F 0.589)] [D acc: (0.709)(0.676, 0.742)] [G loss: 1.201] [G acc: 0.133]\n",
      "3362 [D loss: (0.612)(R 0.632, F 0.593)] [D acc: (0.658)(0.590, 0.727)] [G loss: 1.237] [G acc: 0.125]\n",
      "3363 [D loss: (0.574)(R 0.576, F 0.573)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.213] [G acc: 0.133]\n",
      "3364 [D loss: (0.604)(R 0.565, F 0.643)] [D acc: (0.664)(0.637, 0.691)] [G loss: 1.154] [G acc: 0.176]\n",
      "3365 [D loss: (0.615)(R 0.622, F 0.608)] [D acc: (0.637)(0.590, 0.684)] [G loss: 1.147] [G acc: 0.125]\n",
      "3366 [D loss: (0.588)(R 0.598, F 0.579)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.170] [G acc: 0.141]\n",
      "3367 [D loss: (0.591)(R 0.587, F 0.594)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.234] [G acc: 0.152]\n",
      "3368 [D loss: (0.556)(R 0.566, F 0.547)] [D acc: (0.740)(0.668, 0.812)] [G loss: 1.228] [G acc: 0.121]\n",
      "3369 [D loss: (0.621)(R 0.601, F 0.640)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.154] [G acc: 0.129]\n",
      "3370 [D loss: (0.563)(R 0.590, F 0.536)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.103] [G acc: 0.191]\n",
      "3371 [D loss: (0.618)(R 0.605, F 0.631)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.112] [G acc: 0.172]\n",
      "3372 [D loss: (0.593)(R 0.572, F 0.614)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.142] [G acc: 0.145]\n",
      "3373 [D loss: (0.615)(R 0.636, F 0.594)] [D acc: (0.678)(0.602, 0.754)] [G loss: 1.126] [G acc: 0.152]\n",
      "3374 [D loss: (0.586)(R 0.593, F 0.578)] [D acc: (0.703)(0.648, 0.758)] [G loss: 1.143] [G acc: 0.137]\n",
      "3375 [D loss: (0.586)(R 0.544, F 0.628)] [D acc: (0.695)(0.664, 0.727)] [G loss: 1.215] [G acc: 0.109]\n",
      "3376 [D loss: (0.604)(R 0.643, F 0.564)] [D acc: (0.674)(0.578, 0.770)] [G loss: 1.155] [G acc: 0.129]\n",
      "3377 [D loss: (0.607)(R 0.617, F 0.597)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.135] [G acc: 0.180]\n",
      "3378 [D loss: (0.598)(R 0.578, F 0.618)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.167] [G acc: 0.141]\n",
      "3379 [D loss: (0.575)(R 0.576, F 0.575)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.091] [G acc: 0.230]\n",
      "3380 [D loss: (0.553)(R 0.563, F 0.543)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.150] [G acc: 0.121]\n",
      "3381 [D loss: (0.576)(R 0.559, F 0.593)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.166] [G acc: 0.164]\n",
      "3382 [D loss: (0.581)(R 0.560, F 0.602)] [D acc: (0.729)(0.699, 0.758)] [G loss: 1.244] [G acc: 0.109]\n",
      "3383 [D loss: (0.623)(R 0.645, F 0.601)] [D acc: (0.650)(0.562, 0.738)] [G loss: 1.177] [G acc: 0.137]\n",
      "3384 [D loss: (0.600)(R 0.623, F 0.577)] [D acc: (0.688)(0.609, 0.766)] [G loss: 1.156] [G acc: 0.172]\n",
      "3385 [D loss: (0.615)(R 0.651, F 0.579)] [D acc: (0.656)(0.551, 0.762)] [G loss: 1.154] [G acc: 0.164]\n",
      "3386 [D loss: (0.577)(R 0.544, F 0.609)] [D acc: (0.688)(0.664, 0.711)] [G loss: 1.112] [G acc: 0.168]\n",
      "3387 [D loss: (0.599)(R 0.605, F 0.593)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.132] [G acc: 0.137]\n",
      "3388 [D loss: (0.569)(R 0.597, F 0.541)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.209] [G acc: 0.125]\n",
      "3389 [D loss: (0.581)(R 0.576, F 0.586)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.230] [G acc: 0.125]\n",
      "3390 [D loss: (0.609)(R 0.638, F 0.580)] [D acc: (0.666)(0.570, 0.762)] [G loss: 1.184] [G acc: 0.098]\n",
      "3391 [D loss: (0.592)(R 0.589, F 0.596)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.118] [G acc: 0.195]\n",
      "3392 [D loss: (0.579)(R 0.571, F 0.587)] [D acc: (0.715)(0.648, 0.781)] [G loss: 1.113] [G acc: 0.168]\n",
      "3393 [D loss: (0.594)(R 0.607, F 0.581)] [D acc: (0.678)(0.602, 0.754)] [G loss: 1.142] [G acc: 0.148]\n",
      "3394 [D loss: (0.564)(R 0.540, F 0.587)] [D acc: (0.711)(0.680, 0.742)] [G loss: 1.152] [G acc: 0.137]\n",
      "3395 [D loss: (0.555)(R 0.550, F 0.560)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.145] [G acc: 0.195]\n",
      "3396 [D loss: (0.590)(R 0.580, F 0.600)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.237] [G acc: 0.125]\n",
      "3397 [D loss: (0.588)(R 0.630, F 0.546)] [D acc: (0.680)(0.590, 0.770)] [G loss: 1.325] [G acc: 0.090]\n",
      "3398 [D loss: (0.578)(R 0.570, F 0.586)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.194] [G acc: 0.098]\n",
      "3399 [D loss: (0.586)(R 0.591, F 0.580)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.157] [G acc: 0.168]\n",
      "3400 [D loss: (0.590)(R 0.583, F 0.596)] [D acc: (0.691)(0.656, 0.727)] [G loss: 1.280] [G acc: 0.105]\n",
      "3401 [D loss: (0.568)(R 0.605, F 0.532)] [D acc: (0.703)(0.609, 0.797)] [G loss: 1.221] [G acc: 0.129]\n",
      "3402 [D loss: (0.572)(R 0.554, F 0.590)] [D acc: (0.703)(0.664, 0.742)] [G loss: 1.128] [G acc: 0.176]\n",
      "3403 [D loss: (0.550)(R 0.525, F 0.576)] [D acc: (0.715)(0.668, 0.762)] [G loss: 1.156] [G acc: 0.164]\n",
      "3404 [D loss: (0.579)(R 0.545, F 0.613)] [D acc: (0.689)(0.680, 0.699)] [G loss: 1.214] [G acc: 0.156]\n",
      "3405 [D loss: (0.566)(R 0.626, F 0.505)] [D acc: (0.723)(0.617, 0.828)] [G loss: 1.344] [G acc: 0.098]\n",
      "3406 [D loss: (0.593)(R 0.605, F 0.582)] [D acc: (0.697)(0.602, 0.793)] [G loss: 1.261] [G acc: 0.133]\n",
      "3407 [D loss: (0.577)(R 0.561, F 0.592)] [D acc: (0.686)(0.648, 0.723)] [G loss: 1.223] [G acc: 0.121]\n",
      "3408 [D loss: (0.559)(R 0.598, F 0.520)] [D acc: (0.691)(0.602, 0.781)] [G loss: 1.191] [G acc: 0.133]\n",
      "3409 [D loss: (0.575)(R 0.543, F 0.606)] [D acc: (0.691)(0.672, 0.711)] [G loss: 1.157] [G acc: 0.133]\n",
      "3410 [D loss: (0.600)(R 0.561, F 0.638)] [D acc: (0.707)(0.684, 0.730)] [G loss: 1.266] [G acc: 0.125]\n",
      "3411 [D loss: (0.605)(R 0.669, F 0.541)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.167] [G acc: 0.137]\n",
      "3412 [D loss: (0.546)(R 0.520, F 0.571)] [D acc: (0.740)(0.703, 0.777)] [G loss: 1.242] [G acc: 0.141]\n",
      "3413 [D loss: (0.613)(R 0.618, F 0.609)] [D acc: (0.668)(0.625, 0.711)] [G loss: 1.130] [G acc: 0.152]\n",
      "3414 [D loss: (0.601)(R 0.608, F 0.593)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.241] [G acc: 0.125]\n",
      "3415 [D loss: (0.596)(R 0.627, F 0.565)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.164] [G acc: 0.145]\n",
      "3416 [D loss: (0.580)(R 0.563, F 0.597)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.228] [G acc: 0.148]\n",
      "3417 [D loss: (0.558)(R 0.561, F 0.555)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.189] [G acc: 0.164]\n",
      "3418 [D loss: (0.579)(R 0.620, F 0.539)] [D acc: (0.691)(0.598, 0.785)] [G loss: 1.180] [G acc: 0.141]\n",
      "3419 [D loss: (0.570)(R 0.591, F 0.549)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.941] [G acc: 0.035]\n",
      "3420 [D loss: (0.848)(R 1.094, F 0.603)] [D acc: (0.561)(0.332, 0.789)] [G loss: 1.282] [G acc: 0.117]\n",
      "3421 [D loss: (0.602)(R 0.553, F 0.650)] [D acc: (0.666)(0.645, 0.688)] [G loss: 1.093] [G acc: 0.172]\n",
      "3422 [D loss: (0.618)(R 0.603, F 0.633)] [D acc: (0.641)(0.594, 0.688)] [G loss: 1.055] [G acc: 0.195]\n",
      "3423 [D loss: (0.632)(R 0.639, F 0.626)] [D acc: (0.641)(0.578, 0.703)] [G loss: 1.066] [G acc: 0.156]\n",
      "3424 [D loss: (0.651)(R 0.647, F 0.655)] [D acc: (0.625)(0.570, 0.680)] [G loss: 1.105] [G acc: 0.172]\n",
      "3425 [D loss: (0.610)(R 0.597, F 0.623)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.063] [G acc: 0.172]\n",
      "3426 [D loss: (0.575)(R 0.617, F 0.534)] [D acc: (0.709)(0.617, 0.801)] [G loss: 1.144] [G acc: 0.129]\n",
      "3427 [D loss: (0.593)(R 0.563, F 0.623)] [D acc: (0.684)(0.656, 0.711)] [G loss: 1.117] [G acc: 0.152]\n",
      "3428 [D loss: (0.606)(R 0.619, F 0.592)] [D acc: (0.680)(0.570, 0.789)] [G loss: 1.121] [G acc: 0.145]\n",
      "3429 [D loss: (0.562)(R 0.586, F 0.537)] [D acc: (0.732)(0.656, 0.809)] [G loss: 1.140] [G acc: 0.180]\n",
      "3430 [D loss: (0.547)(R 0.559, F 0.535)] [D acc: (0.711)(0.641, 0.781)] [G loss: 1.170] [G acc: 0.145]\n",
      "3431 [D loss: (0.599)(R 0.612, F 0.586)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.150] [G acc: 0.121]\n",
      "3432 [D loss: (0.583)(R 0.598, F 0.568)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.206] [G acc: 0.121]\n",
      "3433 [D loss: (0.572)(R 0.569, F 0.575)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.155] [G acc: 0.152]\n",
      "3434 [D loss: (0.607)(R 0.632, F 0.583)] [D acc: (0.662)(0.578, 0.746)] [G loss: 1.120] [G acc: 0.141]\n",
      "3435 [D loss: (0.578)(R 0.562, F 0.594)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.103] [G acc: 0.152]\n",
      "3436 [D loss: (0.587)(R 0.560, F 0.614)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.250] [G acc: 0.090]\n",
      "3437 [D loss: (0.617)(R 0.638, F 0.596)] [D acc: (0.652)(0.617, 0.688)] [G loss: 1.229] [G acc: 0.086]\n",
      "3438 [D loss: (0.548)(R 0.577, F 0.520)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.222] [G acc: 0.109]\n",
      "3439 [D loss: (0.581)(R 0.590, F 0.572)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.152] [G acc: 0.184]\n",
      "3440 [D loss: (0.581)(R 0.606, F 0.557)] [D acc: (0.688)(0.586, 0.789)] [G loss: 1.151] [G acc: 0.160]\n",
      "3441 [D loss: (0.608)(R 0.628, F 0.588)] [D acc: (0.652)(0.598, 0.707)] [G loss: 1.095] [G acc: 0.176]\n",
      "3442 [D loss: (0.573)(R 0.570, F 0.576)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.077] [G acc: 0.211]\n",
      "3443 [D loss: (0.590)(R 0.618, F 0.561)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.100] [G acc: 0.180]\n",
      "3444 [D loss: (0.589)(R 0.622, F 0.556)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.176] [G acc: 0.109]\n",
      "3445 [D loss: (0.557)(R 0.547, F 0.567)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.151] [G acc: 0.148]\n",
      "3446 [D loss: (0.590)(R 0.571, F 0.609)] [D acc: (0.676)(0.625, 0.727)] [G loss: 1.234] [G acc: 0.105]\n",
      "3447 [D loss: (0.631)(R 0.614, F 0.648)] [D acc: (0.652)(0.598, 0.707)] [G loss: 1.255] [G acc: 0.125]\n",
      "3448 [D loss: (0.582)(R 0.609, F 0.555)] [D acc: (0.682)(0.586, 0.777)] [G loss: 1.122] [G acc: 0.188]\n",
      "3449 [D loss: (0.576)(R 0.569, F 0.583)] [D acc: (0.682)(0.637, 0.727)] [G loss: 1.263] [G acc: 0.117]\n",
      "3450 [D loss: (0.542)(R 0.538, F 0.545)] [D acc: (0.727)(0.691, 0.762)] [G loss: 1.269] [G acc: 0.121]\n",
      "3451 [D loss: (0.594)(R 0.561, F 0.627)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.183] [G acc: 0.133]\n",
      "3452 [D loss: (0.613)(R 0.644, F 0.583)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.151] [G acc: 0.152]\n",
      "3453 [D loss: (0.604)(R 0.603, F 0.605)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.179] [G acc: 0.148]\n",
      "3454 [D loss: (0.586)(R 0.603, F 0.569)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.162] [G acc: 0.145]\n",
      "3455 [D loss: (0.565)(R 0.564, F 0.566)] [D acc: (0.701)(0.660, 0.742)] [G loss: 1.235] [G acc: 0.105]\n",
      "3456 [D loss: (0.573)(R 0.576, F 0.571)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.237] [G acc: 0.074]\n",
      "3457 [D loss: (0.606)(R 0.638, F 0.574)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.188] [G acc: 0.145]\n",
      "3458 [D loss: (0.590)(R 0.589, F 0.591)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.162] [G acc: 0.148]\n",
      "3459 [D loss: (0.623)(R 0.645, F 0.601)] [D acc: (0.666)(0.605, 0.727)] [G loss: 1.156] [G acc: 0.168]\n",
      "3460 [D loss: (0.622)(R 0.613, F 0.631)] [D acc: (0.650)(0.617, 0.684)] [G loss: 1.190] [G acc: 0.152]\n",
      "3461 [D loss: (0.590)(R 0.653, F 0.527)] [D acc: (0.686)(0.562, 0.809)] [G loss: 1.197] [G acc: 0.156]\n",
      "3462 [D loss: (0.564)(R 0.565, F 0.563)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.226] [G acc: 0.129]\n",
      "3463 [D loss: (0.587)(R 0.595, F 0.579)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.161] [G acc: 0.180]\n",
      "3464 [D loss: (0.555)(R 0.590, F 0.521)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.189] [G acc: 0.168]\n",
      "3465 [D loss: (0.584)(R 0.553, F 0.616)] [D acc: (0.691)(0.688, 0.695)] [G loss: 1.156] [G acc: 0.133]\n",
      "3466 [D loss: (0.579)(R 0.600, F 0.557)] [D acc: (0.660)(0.594, 0.727)] [G loss: 1.218] [G acc: 0.133]\n",
      "3467 [D loss: (0.597)(R 0.615, F 0.578)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.220] [G acc: 0.148]\n",
      "3468 [D loss: (0.602)(R 0.637, F 0.566)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.171] [G acc: 0.141]\n",
      "3469 [D loss: (0.596)(R 0.576, F 0.616)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.137] [G acc: 0.180]\n",
      "3470 [D loss: (0.563)(R 0.548, F 0.578)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.189] [G acc: 0.176]\n",
      "3471 [D loss: (0.564)(R 0.547, F 0.582)] [D acc: (0.717)(0.668, 0.766)] [G loss: 1.200] [G acc: 0.172]\n",
      "3472 [D loss: (0.552)(R 0.572, F 0.532)] [D acc: (0.721)(0.648, 0.793)] [G loss: 1.193] [G acc: 0.195]\n",
      "3473 [D loss: (0.557)(R 0.552, F 0.561)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.237] [G acc: 0.160]\n",
      "3474 [D loss: (0.595)(R 0.628, F 0.563)] [D acc: (0.672)(0.590, 0.754)] [G loss: 1.238] [G acc: 0.137]\n",
      "3475 [D loss: (0.564)(R 0.594, F 0.535)] [D acc: (0.693)(0.594, 0.793)] [G loss: 1.173] [G acc: 0.172]\n",
      "3476 [D loss: (0.540)(R 0.547, F 0.532)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.261] [G acc: 0.156]\n",
      "3477 [D loss: (0.584)(R 0.576, F 0.593)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.237] [G acc: 0.129]\n",
      "3478 [D loss: (0.587)(R 0.610, F 0.563)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.215] [G acc: 0.102]\n",
      "3479 [D loss: (0.596)(R 0.579, F 0.613)] [D acc: (0.646)(0.602, 0.691)] [G loss: 1.255] [G acc: 0.086]\n",
      "3480 [D loss: (0.583)(R 0.598, F 0.568)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.170] [G acc: 0.141]\n",
      "3481 [D loss: (0.582)(R 0.612, F 0.552)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.205] [G acc: 0.113]\n",
      "3482 [D loss: (0.578)(R 0.597, F 0.559)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.294] [G acc: 0.102]\n",
      "3483 [D loss: (0.566)(R 0.572, F 0.560)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.173] [G acc: 0.141]\n",
      "3484 [D loss: (0.576)(R 0.623, F 0.528)] [D acc: (0.688)(0.586, 0.789)] [G loss: 1.230] [G acc: 0.152]\n",
      "3485 [D loss: (0.562)(R 0.527, F 0.596)] [D acc: (0.703)(0.676, 0.730)] [G loss: 1.181] [G acc: 0.160]\n",
      "3486 [D loss: (0.579)(R 0.570, F 0.588)] [D acc: (0.693)(0.688, 0.699)] [G loss: 1.191] [G acc: 0.137]\n",
      "3487 [D loss: (0.578)(R 0.589, F 0.566)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.325] [G acc: 0.074]\n",
      "3488 [D loss: (0.562)(R 0.549, F 0.574)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.189] [G acc: 0.145]\n",
      "3489 [D loss: (0.574)(R 0.575, F 0.574)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.203] [G acc: 0.137]\n",
      "3490 [D loss: (0.552)(R 0.537, F 0.568)] [D acc: (0.721)(0.688, 0.754)] [G loss: 1.261] [G acc: 0.176]\n",
      "3491 [D loss: (0.542)(R 0.541, F 0.543)] [D acc: (0.734)(0.672, 0.797)] [G loss: 1.290] [G acc: 0.137]\n",
      "3492 [D loss: (0.560)(R 0.567, F 0.552)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.112] [G acc: 0.188]\n",
      "3493 [D loss: (0.565)(R 0.502, F 0.629)] [D acc: (0.719)(0.723, 0.715)] [G loss: 1.244] [G acc: 0.129]\n",
      "3494 [D loss: (0.576)(R 0.571, F 0.581)] [D acc: (0.709)(0.652, 0.766)] [G loss: 1.154] [G acc: 0.160]\n",
      "3495 [D loss: (0.562)(R 0.512, F 0.611)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.244] [G acc: 0.156]\n",
      "3496 [D loss: (0.569)(R 0.604, F 0.534)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.236] [G acc: 0.113]\n",
      "3497 [D loss: (0.601)(R 0.622, F 0.580)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.190] [G acc: 0.160]\n",
      "3498 [D loss: (0.598)(R 0.607, F 0.589)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.168] [G acc: 0.148]\n",
      "3499 [D loss: (0.560)(R 0.560, F 0.559)] [D acc: (0.717)(0.676, 0.758)] [G loss: 1.272] [G acc: 0.125]\n",
      "3500 [D loss: (0.558)(R 0.560, F 0.555)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.144] [G acc: 0.207]\n",
      "3501 [D loss: (0.626)(R 0.631, F 0.621)] [D acc: (0.654)(0.598, 0.711)] [G loss: 1.209] [G acc: 0.133]\n",
      "3502 [D loss: (0.573)(R 0.597, F 0.550)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.162] [G acc: 0.188]\n",
      "3503 [D loss: (0.595)(R 0.574, F 0.616)] [D acc: (0.674)(0.625, 0.723)] [G loss: 1.211] [G acc: 0.152]\n",
      "3504 [D loss: (0.571)(R 0.630, F 0.513)] [D acc: (0.697)(0.586, 0.809)] [G loss: 1.330] [G acc: 0.070]\n",
      "3505 [D loss: (0.524)(R 0.515, F 0.534)] [D acc: (0.734)(0.676, 0.793)] [G loss: 1.178] [G acc: 0.164]\n",
      "3506 [D loss: (0.586)(R 0.544, F 0.628)] [D acc: (0.689)(0.668, 0.711)] [G loss: 1.355] [G acc: 0.051]\n",
      "3507 [D loss: (0.631)(R 0.674, F 0.589)] [D acc: (0.658)(0.574, 0.742)] [G loss: 1.271] [G acc: 0.117]\n",
      "3508 [D loss: (0.580)(R 0.606, F 0.555)] [D acc: (0.715)(0.621, 0.809)] [G loss: 1.229] [G acc: 0.082]\n",
      "3509 [D loss: (0.600)(R 0.557, F 0.643)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.271] [G acc: 0.086]\n",
      "3510 [D loss: (0.536)(R 0.532, F 0.540)] [D acc: (0.742)(0.691, 0.793)] [G loss: 1.121] [G acc: 0.180]\n",
      "3511 [D loss: (0.565)(R 0.564, F 0.566)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.163] [G acc: 0.172]\n",
      "3512 [D loss: (0.573)(R 0.545, F 0.601)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.245] [G acc: 0.145]\n",
      "3513 [D loss: (0.580)(R 0.614, F 0.546)] [D acc: (0.682)(0.570, 0.793)] [G loss: 1.261] [G acc: 0.090]\n",
      "3514 [D loss: (0.536)(R 0.523, F 0.549)] [D acc: (0.742)(0.691, 0.793)] [G loss: 1.243] [G acc: 0.145]\n",
      "3515 [D loss: (0.588)(R 0.569, F 0.607)] [D acc: (0.689)(0.676, 0.703)] [G loss: 1.167] [G acc: 0.160]\n",
      "3516 [D loss: (0.604)(R 0.607, F 0.602)] [D acc: (0.656)(0.578, 0.734)] [G loss: 1.167] [G acc: 0.133]\n",
      "3517 [D loss: (0.584)(R 0.614, F 0.555)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.185] [G acc: 0.145]\n",
      "3518 [D loss: (0.555)(R 0.539, F 0.572)] [D acc: (0.689)(0.652, 0.727)] [G loss: 1.150] [G acc: 0.180]\n",
      "3519 [D loss: (0.564)(R 0.607, F 0.520)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.226] [G acc: 0.121]\n",
      "3520 [D loss: (0.561)(R 0.536, F 0.585)] [D acc: (0.725)(0.688, 0.762)] [G loss: 1.238] [G acc: 0.219]\n",
      "3521 [D loss: (0.587)(R 0.584, F 0.591)] [D acc: (0.688)(0.656, 0.719)] [G loss: 1.144] [G acc: 0.133]\n",
      "3522 [D loss: (0.609)(R 0.532, F 0.685)] [D acc: (0.688)(0.676, 0.699)] [G loss: 1.195] [G acc: 0.207]\n",
      "3523 [D loss: (0.608)(R 0.628, F 0.587)] [D acc: (0.686)(0.621, 0.750)] [G loss: 1.196] [G acc: 0.168]\n",
      "3524 [D loss: (0.599)(R 0.583, F 0.615)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.230] [G acc: 0.113]\n",
      "3525 [D loss: (0.594)(R 0.608, F 0.581)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.233] [G acc: 0.152]\n",
      "3526 [D loss: (0.599)(R 0.613, F 0.585)] [D acc: (0.672)(0.578, 0.766)] [G loss: 1.197] [G acc: 0.137]\n",
      "3527 [D loss: (0.552)(R 0.575, F 0.529)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.207] [G acc: 0.141]\n",
      "3528 [D loss: (0.594)(R 0.601, F 0.586)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.214] [G acc: 0.129]\n",
      "3529 [D loss: (0.554)(R 0.616, F 0.492)] [D acc: (0.719)(0.605, 0.832)] [G loss: 1.293] [G acc: 0.105]\n",
      "3530 [D loss: (0.592)(R 0.562, F 0.623)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.256] [G acc: 0.125]\n",
      "3531 [D loss: (0.623)(R 0.670, F 0.576)] [D acc: (0.666)(0.590, 0.742)] [G loss: 1.200] [G acc: 0.098]\n",
      "3532 [D loss: (0.594)(R 0.610, F 0.578)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.154] [G acc: 0.148]\n",
      "3533 [D loss: (0.565)(R 0.579, F 0.550)] [D acc: (0.713)(0.656, 0.770)] [G loss: 1.228] [G acc: 0.125]\n",
      "3534 [D loss: (0.616)(R 0.609, F 0.623)] [D acc: (0.664)(0.598, 0.730)] [G loss: 1.248] [G acc: 0.148]\n",
      "3535 [D loss: (0.574)(R 0.600, F 0.548)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.178] [G acc: 0.152]\n",
      "3536 [D loss: (0.621)(R 0.608, F 0.634)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.139] [G acc: 0.156]\n",
      "3537 [D loss: (0.567)(R 0.550, F 0.585)] [D acc: (0.707)(0.676, 0.738)] [G loss: 1.204] [G acc: 0.160]\n",
      "3538 [D loss: (0.632)(R 0.665, F 0.600)] [D acc: (0.637)(0.566, 0.707)] [G loss: 1.177] [G acc: 0.141]\n",
      "3539 [D loss: (0.570)(R 0.580, F 0.560)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.133] [G acc: 0.184]\n",
      "3540 [D loss: (0.565)(R 0.589, F 0.542)] [D acc: (0.695)(0.605, 0.785)] [G loss: 1.182] [G acc: 0.145]\n",
      "3541 [D loss: (0.598)(R 0.624, F 0.572)] [D acc: (0.664)(0.590, 0.738)] [G loss: 1.286] [G acc: 0.109]\n",
      "3542 [D loss: (0.609)(R 0.652, F 0.567)] [D acc: (0.682)(0.562, 0.801)] [G loss: 1.231] [G acc: 0.098]\n",
      "3543 [D loss: (0.565)(R 0.561, F 0.569)] [D acc: (0.695)(0.652, 0.738)] [G loss: 1.140] [G acc: 0.145]\n",
      "3544 [D loss: (0.572)(R 0.597, F 0.547)] [D acc: (0.721)(0.625, 0.816)] [G loss: 1.153] [G acc: 0.176]\n",
      "3545 [D loss: (0.618)(R 0.664, F 0.572)] [D acc: (0.650)(0.566, 0.734)] [G loss: 1.151] [G acc: 0.160]\n",
      "3546 [D loss: (0.567)(R 0.583, F 0.551)] [D acc: (0.695)(0.609, 0.781)] [G loss: 1.137] [G acc: 0.168]\n",
      "3547 [D loss: (0.569)(R 0.589, F 0.548)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.173] [G acc: 0.156]\n",
      "3548 [D loss: (0.626)(R 0.614, F 0.637)] [D acc: (0.635)(0.598, 0.672)] [G loss: 1.147] [G acc: 0.180]\n",
      "3549 [D loss: (0.631)(R 0.685, F 0.578)] [D acc: (0.623)(0.512, 0.734)] [G loss: 1.089] [G acc: 0.156]\n",
      "3550 [D loss: (0.594)(R 0.554, F 0.635)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.140] [G acc: 0.184]\n",
      "3551 [D loss: (0.602)(R 0.619, F 0.585)] [D acc: (0.705)(0.582, 0.828)] [G loss: 1.146] [G acc: 0.137]\n",
      "3552 [D loss: (0.589)(R 0.601, F 0.578)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.192] [G acc: 0.113]\n",
      "3553 [D loss: (0.587)(R 0.575, F 0.599)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.118] [G acc: 0.160]\n",
      "3554 [D loss: (0.583)(R 0.616, F 0.550)] [D acc: (0.705)(0.629, 0.781)] [G loss: 1.127] [G acc: 0.164]\n",
      "3555 [D loss: (0.568)(R 0.574, F 0.562)] [D acc: (0.699)(0.602, 0.797)] [G loss: 1.178] [G acc: 0.152]\n",
      "3556 [D loss: (0.610)(R 0.644, F 0.575)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.217] [G acc: 0.117]\n",
      "3557 [D loss: (0.579)(R 0.624, F 0.534)] [D acc: (0.688)(0.578, 0.797)] [G loss: 1.169] [G acc: 0.148]\n",
      "3558 [D loss: (0.569)(R 0.549, F 0.588)] [D acc: (0.734)(0.699, 0.770)] [G loss: 1.216] [G acc: 0.129]\n",
      "3559 [D loss: (0.553)(R 0.529, F 0.577)] [D acc: (0.730)(0.691, 0.770)] [G loss: 1.224] [G acc: 0.133]\n",
      "3560 [D loss: (0.605)(R 0.601, F 0.610)] [D acc: (0.676)(0.637, 0.715)] [G loss: 1.222] [G acc: 0.191]\n",
      "3561 [D loss: (0.595)(R 0.666, F 0.523)] [D acc: (0.670)(0.555, 0.785)] [G loss: 1.237] [G acc: 0.137]\n",
      "3562 [D loss: (0.559)(R 0.570, F 0.548)] [D acc: (0.719)(0.664, 0.773)] [G loss: 1.123] [G acc: 0.215]\n",
      "3563 [D loss: (0.560)(R 0.541, F 0.580)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.142] [G acc: 0.176]\n",
      "3564 [D loss: (0.567)(R 0.532, F 0.603)] [D acc: (0.705)(0.684, 0.727)] [G loss: 1.161] [G acc: 0.184]\n",
      "3565 [D loss: (0.589)(R 0.634, F 0.543)] [D acc: (0.668)(0.578, 0.758)] [G loss: 1.160] [G acc: 0.156]\n",
      "3566 [D loss: (0.583)(R 0.560, F 0.606)] [D acc: (0.676)(0.672, 0.680)] [G loss: 1.234] [G acc: 0.145]\n",
      "3567 [D loss: (0.554)(R 0.593, F 0.516)] [D acc: (0.717)(0.633, 0.801)] [G loss: 1.231] [G acc: 0.129]\n",
      "3568 [D loss: (0.557)(R 0.534, F 0.580)] [D acc: (0.719)(0.680, 0.758)] [G loss: 1.170] [G acc: 0.172]\n",
      "3569 [D loss: (0.601)(R 0.548, F 0.654)] [D acc: (0.695)(0.680, 0.711)] [G loss: 1.211] [G acc: 0.148]\n",
      "3570 [D loss: (0.566)(R 0.577, F 0.555)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.254] [G acc: 0.125]\n",
      "3571 [D loss: (0.573)(R 0.584, F 0.563)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.211] [G acc: 0.121]\n",
      "3572 [D loss: (0.591)(R 0.582, F 0.600)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.338] [G acc: 0.094]\n",
      "3573 [D loss: (0.557)(R 0.610, F 0.503)] [D acc: (0.705)(0.621, 0.789)] [G loss: 1.275] [G acc: 0.105]\n",
      "3574 [D loss: (0.595)(R 0.592, F 0.598)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.205] [G acc: 0.133]\n",
      "3575 [D loss: (0.557)(R 0.555, F 0.558)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.233] [G acc: 0.133]\n",
      "3576 [D loss: (0.588)(R 0.571, F 0.604)] [D acc: (0.674)(0.645, 0.703)] [G loss: 1.169] [G acc: 0.172]\n",
      "3577 [D loss: (0.570)(R 0.566, F 0.574)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.208] [G acc: 0.133]\n",
      "3578 [D loss: (0.594)(R 0.648, F 0.540)] [D acc: (0.684)(0.590, 0.777)] [G loss: 1.184] [G acc: 0.156]\n",
      "3579 [D loss: (0.594)(R 0.564, F 0.624)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.149] [G acc: 0.172]\n",
      "3580 [D loss: (0.593)(R 0.584, F 0.601)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.187] [G acc: 0.148]\n",
      "3581 [D loss: (0.579)(R 0.584, F 0.574)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.103] [G acc: 0.188]\n",
      "3582 [D loss: (0.613)(R 0.618, F 0.608)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.117] [G acc: 0.195]\n",
      "3583 [D loss: (0.585)(R 0.532, F 0.637)] [D acc: (0.709)(0.695, 0.723)] [G loss: 1.233] [G acc: 0.117]\n",
      "3584 [D loss: (0.572)(R 0.622, F 0.521)] [D acc: (0.691)(0.578, 0.805)] [G loss: 1.226] [G acc: 0.148]\n",
      "3585 [D loss: (0.630)(R 0.616, F 0.643)] [D acc: (0.650)(0.574, 0.727)] [G loss: 1.196] [G acc: 0.145]\n",
      "3586 [D loss: (0.589)(R 0.614, F 0.565)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.201] [G acc: 0.125]\n",
      "3587 [D loss: (0.565)(R 0.585, F 0.546)] [D acc: (0.699)(0.625, 0.773)] [G loss: 1.297] [G acc: 0.105]\n",
      "3588 [D loss: (0.613)(R 0.584, F 0.642)] [D acc: (0.674)(0.652, 0.695)] [G loss: 1.122] [G acc: 0.160]\n",
      "3589 [D loss: (0.589)(R 0.624, F 0.554)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.120] [G acc: 0.145]\n",
      "3590 [D loss: (0.634)(R 0.597, F 0.672)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.144] [G acc: 0.141]\n",
      "3591 [D loss: (0.603)(R 0.637, F 0.568)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.193] [G acc: 0.121]\n",
      "3592 [D loss: (0.607)(R 0.616, F 0.599)] [D acc: (0.650)(0.582, 0.719)] [G loss: 1.232] [G acc: 0.156]\n",
      "3593 [D loss: (0.574)(R 0.586, F 0.563)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.171] [G acc: 0.117]\n",
      "3594 [D loss: (0.591)(R 0.619, F 0.562)] [D acc: (0.668)(0.570, 0.766)] [G loss: 1.137] [G acc: 0.176]\n",
      "3595 [D loss: (0.562)(R 0.532, F 0.591)] [D acc: (0.695)(0.656, 0.734)] [G loss: 1.129] [G acc: 0.156]\n",
      "3596 [D loss: (0.608)(R 0.611, F 0.604)] [D acc: (0.660)(0.570, 0.750)] [G loss: 1.173] [G acc: 0.129]\n",
      "3597 [D loss: (0.611)(R 0.608, F 0.615)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.101] [G acc: 0.164]\n",
      "3598 [D loss: (0.625)(R 0.683, F 0.568)] [D acc: (0.672)(0.562, 0.781)] [G loss: 1.204] [G acc: 0.141]\n",
      "3599 [D loss: (0.616)(R 0.642, F 0.590)] [D acc: (0.664)(0.598, 0.730)] [G loss: 1.123] [G acc: 0.180]\n",
      "3600 [D loss: (0.570)(R 0.560, F 0.579)] [D acc: (0.719)(0.672, 0.766)] [G loss: 1.131] [G acc: 0.102]\n",
      "3601 [D loss: (0.569)(R 0.580, F 0.557)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.182] [G acc: 0.152]\n",
      "3602 [D loss: (0.532)(R 0.530, F 0.534)] [D acc: (0.736)(0.676, 0.797)] [G loss: 1.238] [G acc: 0.125]\n",
      "3603 [D loss: (0.582)(R 0.558, F 0.606)] [D acc: (0.680)(0.625, 0.734)] [G loss: 1.131] [G acc: 0.191]\n",
      "3604 [D loss: (0.622)(R 0.602, F 0.642)] [D acc: (0.668)(0.625, 0.711)] [G loss: 1.098] [G acc: 0.234]\n",
      "3605 [D loss: (0.608)(R 0.644, F 0.572)] [D acc: (0.652)(0.570, 0.734)] [G loss: 1.103] [G acc: 0.188]\n",
      "3606 [D loss: (0.577)(R 0.546, F 0.608)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.174] [G acc: 0.156]\n",
      "3607 [D loss: (0.577)(R 0.589, F 0.564)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.262] [G acc: 0.117]\n",
      "3608 [D loss: (0.558)(R 0.556, F 0.560)] [D acc: (0.701)(0.676, 0.727)] [G loss: 1.150] [G acc: 0.168]\n",
      "3609 [D loss: (0.563)(R 0.561, F 0.565)] [D acc: (0.703)(0.660, 0.746)] [G loss: 1.188] [G acc: 0.133]\n",
      "3610 [D loss: (0.570)(R 0.577, F 0.562)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.196] [G acc: 0.148]\n",
      "3611 [D loss: (0.586)(R 0.642, F 0.530)] [D acc: (0.709)(0.637, 0.781)] [G loss: 1.172] [G acc: 0.176]\n",
      "3612 [D loss: (0.554)(R 0.526, F 0.582)] [D acc: (0.715)(0.672, 0.758)] [G loss: 1.206] [G acc: 0.137]\n",
      "3613 [D loss: (0.549)(R 0.565, F 0.533)] [D acc: (0.725)(0.645, 0.805)] [G loss: 1.174] [G acc: 0.117]\n",
      "3614 [D loss: (0.617)(R 0.589, F 0.645)] [D acc: (0.662)(0.652, 0.672)] [G loss: 1.146] [G acc: 0.184]\n",
      "3615 [D loss: (0.563)(R 0.619, F 0.507)] [D acc: (0.703)(0.578, 0.828)] [G loss: 1.239] [G acc: 0.129]\n",
      "3616 [D loss: (0.617)(R 0.552, F 0.681)] [D acc: (0.682)(0.637, 0.727)] [G loss: 1.188] [G acc: 0.109]\n",
      "3617 [D loss: (0.556)(R 0.564, F 0.548)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.153] [G acc: 0.172]\n",
      "3618 [D loss: (0.587)(R 0.602, F 0.573)] [D acc: (0.699)(0.625, 0.773)] [G loss: 1.147] [G acc: 0.145]\n",
      "3619 [D loss: (0.569)(R 0.559, F 0.579)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.127] [G acc: 0.184]\n",
      "3620 [D loss: (0.619)(R 0.633, F 0.605)] [D acc: (0.645)(0.555, 0.734)] [G loss: 1.222] [G acc: 0.160]\n",
      "3621 [D loss: (0.552)(R 0.581, F 0.523)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.177] [G acc: 0.113]\n",
      "3622 [D loss: (0.579)(R 0.580, F 0.578)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.175] [G acc: 0.152]\n",
      "3623 [D loss: (0.558)(R 0.578, F 0.537)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.251] [G acc: 0.121]\n",
      "3624 [D loss: (0.531)(R 0.516, F 0.546)] [D acc: (0.736)(0.703, 0.770)] [G loss: 1.205] [G acc: 0.129]\n",
      "3625 [D loss: (0.591)(R 0.563, F 0.620)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.219] [G acc: 0.145]\n",
      "3626 [D loss: (0.582)(R 0.567, F 0.598)] [D acc: (0.688)(0.656, 0.719)] [G loss: 1.162] [G acc: 0.148]\n",
      "3627 [D loss: (0.593)(R 0.601, F 0.584)] [D acc: (0.664)(0.613, 0.715)] [G loss: 1.235] [G acc: 0.191]\n",
      "3628 [D loss: (0.552)(R 0.562, F 0.542)] [D acc: (0.719)(0.645, 0.793)] [G loss: 1.147] [G acc: 0.191]\n",
      "3629 [D loss: (0.576)(R 0.555, F 0.597)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.254] [G acc: 0.168]\n",
      "3630 [D loss: (0.613)(R 0.632, F 0.593)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.269] [G acc: 0.109]\n",
      "3631 [D loss: (0.593)(R 0.589, F 0.597)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.234] [G acc: 0.172]\n",
      "3632 [D loss: (0.572)(R 0.626, F 0.517)] [D acc: (0.699)(0.609, 0.789)] [G loss: 1.204] [G acc: 0.152]\n",
      "3633 [D loss: (0.577)(R 0.600, F 0.554)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.198] [G acc: 0.121]\n",
      "3634 [D loss: (0.564)(R 0.573, F 0.554)] [D acc: (0.691)(0.617, 0.766)] [G loss: 1.232] [G acc: 0.145]\n",
      "3635 [D loss: (0.576)(R 0.571, F 0.581)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.139] [G acc: 0.168]\n",
      "3636 [D loss: (0.560)(R 0.574, F 0.546)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.197] [G acc: 0.117]\n",
      "3637 [D loss: (0.589)(R 0.585, F 0.593)] [D acc: (0.709)(0.637, 0.781)] [G loss: 1.213] [G acc: 0.168]\n",
      "3638 [D loss: (0.588)(R 0.590, F 0.586)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.235] [G acc: 0.113]\n",
      "3639 [D loss: (0.589)(R 0.596, F 0.582)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.244] [G acc: 0.141]\n",
      "3640 [D loss: (0.583)(R 0.602, F 0.564)] [D acc: (0.666)(0.582, 0.750)] [G loss: 1.240] [G acc: 0.102]\n",
      "3641 [D loss: (0.562)(R 0.590, F 0.534)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.291] [G acc: 0.133]\n",
      "3642 [D loss: (0.579)(R 0.600, F 0.557)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.178] [G acc: 0.141]\n",
      "3643 [D loss: (0.582)(R 0.577, F 0.586)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.250] [G acc: 0.164]\n",
      "3644 [D loss: (0.595)(R 0.645, F 0.545)] [D acc: (0.684)(0.566, 0.801)] [G loss: 1.111] [G acc: 0.164]\n",
      "3645 [D loss: (0.562)(R 0.584, F 0.540)] [D acc: (0.713)(0.625, 0.801)] [G loss: 1.207] [G acc: 0.160]\n",
      "3646 [D loss: (0.569)(R 0.549, F 0.590)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.166] [G acc: 0.184]\n",
      "3647 [D loss: (0.601)(R 0.611, F 0.592)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.221] [G acc: 0.125]\n",
      "3648 [D loss: (0.584)(R 0.600, F 0.569)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.125] [G acc: 0.191]\n",
      "3649 [D loss: (0.576)(R 0.540, F 0.612)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.194] [G acc: 0.160]\n",
      "3650 [D loss: (0.551)(R 0.519, F 0.583)] [D acc: (0.723)(0.699, 0.746)] [G loss: 1.139] [G acc: 0.184]\n",
      "3651 [D loss: (0.604)(R 0.572, F 0.635)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.182] [G acc: 0.133]\n",
      "3652 [D loss: (0.582)(R 0.638, F 0.527)] [D acc: (0.713)(0.621, 0.805)] [G loss: 1.227] [G acc: 0.070]\n",
      "3653 [D loss: (0.556)(R 0.532, F 0.581)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.146] [G acc: 0.148]\n",
      "3654 [D loss: (0.550)(R 0.604, F 0.495)] [D acc: (0.727)(0.625, 0.828)] [G loss: 1.167] [G acc: 0.164]\n",
      "3655 [D loss: (0.611)(R 0.554, F 0.668)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.172] [G acc: 0.125]\n",
      "3656 [D loss: (0.586)(R 0.632, F 0.540)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.207] [G acc: 0.148]\n",
      "3657 [D loss: (0.572)(R 0.581, F 0.563)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.213] [G acc: 0.094]\n",
      "3658 [D loss: (0.573)(R 0.539, F 0.608)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.121] [G acc: 0.133]\n",
      "3659 [D loss: (0.582)(R 0.581, F 0.582)] [D acc: (0.676)(0.629, 0.723)] [G loss: 1.151] [G acc: 0.160]\n",
      "3660 [D loss: (0.590)(R 0.614, F 0.567)] [D acc: (0.670)(0.570, 0.770)] [G loss: 1.154] [G acc: 0.145]\n",
      "3661 [D loss: (0.616)(R 0.672, F 0.560)] [D acc: (0.666)(0.531, 0.801)] [G loss: 1.242] [G acc: 0.113]\n",
      "3662 [D loss: (0.657)(R 0.674, F 0.640)] [D acc: (0.586)(0.520, 0.652)] [G loss: 1.088] [G acc: 0.109]\n",
      "3663 [D loss: (0.598)(R 0.588, F 0.607)] [D acc: (0.668)(0.617, 0.719)] [G loss: 1.127] [G acc: 0.152]\n",
      "3664 [D loss: (0.611)(R 0.632, F 0.590)] [D acc: (0.656)(0.594, 0.719)] [G loss: 1.138] [G acc: 0.145]\n",
      "3665 [D loss: (0.625)(R 0.617, F 0.633)] [D acc: (0.643)(0.602, 0.684)] [G loss: 1.107] [G acc: 0.195]\n",
      "3666 [D loss: (0.582)(R 0.586, F 0.578)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.142] [G acc: 0.129]\n",
      "3667 [D loss: (0.574)(R 0.588, F 0.561)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.161] [G acc: 0.113]\n",
      "3668 [D loss: (0.606)(R 0.609, F 0.602)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.162] [G acc: 0.109]\n",
      "3669 [D loss: (0.557)(R 0.555, F 0.559)] [D acc: (0.721)(0.668, 0.773)] [G loss: 1.138] [G acc: 0.137]\n",
      "3670 [D loss: (0.617)(R 0.590, F 0.645)] [D acc: (0.668)(0.605, 0.730)] [G loss: 1.154] [G acc: 0.160]\n",
      "3671 [D loss: (0.567)(R 0.596, F 0.538)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.109] [G acc: 0.156]\n",
      "3672 [D loss: (0.581)(R 0.582, F 0.580)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.162] [G acc: 0.129]\n",
      "3673 [D loss: (0.604)(R 0.621, F 0.587)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.142] [G acc: 0.121]\n",
      "3674 [D loss: (0.608)(R 0.582, F 0.634)] [D acc: (0.660)(0.605, 0.715)] [G loss: 1.106] [G acc: 0.125]\n",
      "3675 [D loss: (0.576)(R 0.588, F 0.564)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.106] [G acc: 0.180]\n",
      "3676 [D loss: (0.632)(R 0.642, F 0.623)] [D acc: (0.641)(0.586, 0.695)] [G loss: 1.114] [G acc: 0.164]\n",
      "3677 [D loss: (0.570)(R 0.613, F 0.527)] [D acc: (0.713)(0.613, 0.812)] [G loss: 1.138] [G acc: 0.117]\n",
      "3678 [D loss: (0.562)(R 0.551, F 0.573)] [D acc: (0.688)(0.652, 0.723)] [G loss: 1.140] [G acc: 0.160]\n",
      "3679 [D loss: (0.587)(R 0.623, F 0.550)] [D acc: (0.682)(0.586, 0.777)] [G loss: 1.128] [G acc: 0.168]\n",
      "3680 [D loss: (0.617)(R 0.596, F 0.638)] [D acc: (0.664)(0.570, 0.758)] [G loss: 1.160] [G acc: 0.148]\n",
      "3681 [D loss: (0.556)(R 0.579, F 0.532)] [D acc: (0.721)(0.656, 0.785)] [G loss: 1.165] [G acc: 0.109]\n",
      "3682 [D loss: (0.579)(R 0.546, F 0.612)] [D acc: (0.695)(0.676, 0.715)] [G loss: 1.220] [G acc: 0.098]\n",
      "3683 [D loss: (0.585)(R 0.596, F 0.575)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.207] [G acc: 0.148]\n",
      "3684 [D loss: (0.607)(R 0.641, F 0.572)] [D acc: (0.662)(0.551, 0.773)] [G loss: 1.202] [G acc: 0.129]\n",
      "3685 [D loss: (0.561)(R 0.608, F 0.515)] [D acc: (0.719)(0.621, 0.816)] [G loss: 1.219] [G acc: 0.129]\n",
      "3686 [D loss: (0.569)(R 0.564, F 0.574)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.181] [G acc: 0.145]\n",
      "3687 [D loss: (0.575)(R 0.591, F 0.559)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.130] [G acc: 0.152]\n",
      "3688 [D loss: (0.623)(R 0.624, F 0.623)] [D acc: (0.660)(0.590, 0.730)] [G loss: 1.104] [G acc: 0.145]\n",
      "3689 [D loss: (0.590)(R 0.601, F 0.580)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.130] [G acc: 0.145]\n",
      "3690 [D loss: (0.539)(R 0.557, F 0.521)] [D acc: (0.740)(0.648, 0.832)] [G loss: 1.210] [G acc: 0.109]\n",
      "3691 [D loss: (0.575)(R 0.584, F 0.566)] [D acc: (0.695)(0.652, 0.738)] [G loss: 1.160] [G acc: 0.148]\n",
      "3692 [D loss: (0.595)(R 0.606, F 0.585)] [D acc: (0.654)(0.598, 0.711)] [G loss: 1.132] [G acc: 0.180]\n",
      "3693 [D loss: (0.598)(R 0.570, F 0.626)] [D acc: (0.666)(0.621, 0.711)] [G loss: 1.121] [G acc: 0.137]\n",
      "3694 [D loss: (0.593)(R 0.576, F 0.610)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.143] [G acc: 0.172]\n",
      "3695 [D loss: (0.581)(R 0.636, F 0.525)] [D acc: (0.680)(0.555, 0.805)] [G loss: 1.151] [G acc: 0.160]\n",
      "3696 [D loss: (0.561)(R 0.536, F 0.587)] [D acc: (0.719)(0.676, 0.762)] [G loss: 1.236] [G acc: 0.129]\n",
      "3697 [D loss: (0.564)(R 0.578, F 0.550)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.356] [G acc: 0.082]\n",
      "3698 [D loss: (0.598)(R 0.591, F 0.605)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.095] [G acc: 0.176]\n",
      "3699 [D loss: (0.599)(R 0.595, F 0.603)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.160] [G acc: 0.102]\n",
      "3700 [D loss: (0.584)(R 0.600, F 0.568)] [D acc: (0.682)(0.621, 0.742)] [G loss: 1.191] [G acc: 0.121]\n",
      "3701 [D loss: (0.569)(R 0.582, F 0.556)] [D acc: (0.709)(0.609, 0.809)] [G loss: 1.235] [G acc: 0.062]\n",
      "3702 [D loss: (0.593)(R 0.627, F 0.560)] [D acc: (0.691)(0.594, 0.789)] [G loss: 1.174] [G acc: 0.191]\n",
      "3703 [D loss: (0.587)(R 0.554, F 0.621)] [D acc: (0.697)(0.660, 0.734)] [G loss: 1.182] [G acc: 0.117]\n",
      "3704 [D loss: (0.611)(R 0.603, F 0.619)] [D acc: (0.650)(0.602, 0.699)] [G loss: 1.149] [G acc: 0.133]\n",
      "3705 [D loss: (0.585)(R 0.622, F 0.548)] [D acc: (0.686)(0.609, 0.762)] [G loss: 1.134] [G acc: 0.172]\n",
      "3706 [D loss: (0.563)(R 0.544, F 0.582)] [D acc: (0.701)(0.660, 0.742)] [G loss: 1.225] [G acc: 0.109]\n",
      "3707 [D loss: (0.590)(R 0.599, F 0.582)] [D acc: (0.660)(0.590, 0.730)] [G loss: 1.201] [G acc: 0.113]\n",
      "3708 [D loss: (0.570)(R 0.557, F 0.582)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.177] [G acc: 0.121]\n",
      "3709 [D loss: (0.580)(R 0.583, F 0.577)] [D acc: (0.691)(0.602, 0.781)] [G loss: 1.131] [G acc: 0.141]\n",
      "3710 [D loss: (0.567)(R 0.620, F 0.513)] [D acc: (0.703)(0.598, 0.809)] [G loss: 1.173] [G acc: 0.156]\n",
      "3711 [D loss: (0.587)(R 0.545, F 0.629)] [D acc: (0.664)(0.648, 0.680)] [G loss: 1.200] [G acc: 0.184]\n",
      "3712 [D loss: (0.585)(R 0.603, F 0.566)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.181] [G acc: 0.137]\n",
      "3713 [D loss: (0.578)(R 0.541, F 0.616)] [D acc: (0.709)(0.680, 0.738)] [G loss: 1.219] [G acc: 0.125]\n",
      "3714 [D loss: (0.577)(R 0.616, F 0.537)] [D acc: (0.703)(0.605, 0.801)] [G loss: 1.230] [G acc: 0.125]\n",
      "3715 [D loss: (0.568)(R 0.554, F 0.582)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.124] [G acc: 0.152]\n",
      "3716 [D loss: (0.574)(R 0.550, F 0.599)] [D acc: (0.680)(0.645, 0.715)] [G loss: 1.143] [G acc: 0.191]\n",
      "3717 [D loss: (0.571)(R 0.578, F 0.563)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.139] [G acc: 0.137]\n",
      "3718 [D loss: (0.588)(R 0.569, F 0.606)] [D acc: (0.662)(0.633, 0.691)] [G loss: 1.173] [G acc: 0.160]\n",
      "3719 [D loss: (0.571)(R 0.570, F 0.571)] [D acc: (0.729)(0.680, 0.777)] [G loss: 1.224] [G acc: 0.121]\n",
      "3720 [D loss: (0.604)(R 0.586, F 0.622)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.180] [G acc: 0.152]\n",
      "3721 [D loss: (0.600)(R 0.618, F 0.583)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.138] [G acc: 0.172]\n",
      "3722 [D loss: (0.606)(R 0.592, F 0.620)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.140] [G acc: 0.148]\n",
      "3723 [D loss: (0.589)(R 0.585, F 0.594)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.124] [G acc: 0.164]\n",
      "3724 [D loss: (0.578)(R 0.571, F 0.584)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.188] [G acc: 0.117]\n",
      "3725 [D loss: (0.585)(R 0.595, F 0.576)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.148] [G acc: 0.145]\n",
      "3726 [D loss: (0.562)(R 0.551, F 0.573)] [D acc: (0.703)(0.664, 0.742)] [G loss: 1.251] [G acc: 0.145]\n",
      "3727 [D loss: (0.586)(R 0.620, F 0.553)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.150] [G acc: 0.145]\n",
      "3728 [D loss: (0.583)(R 0.548, F 0.619)] [D acc: (0.676)(0.637, 0.715)] [G loss: 1.036] [G acc: 0.211]\n",
      "3729 [D loss: (0.597)(R 0.589, F 0.606)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.091] [G acc: 0.211]\n",
      "3730 [D loss: (0.577)(R 0.592, F 0.561)] [D acc: (0.697)(0.617, 0.777)] [G loss: 1.143] [G acc: 0.129]\n",
      "3731 [D loss: (0.596)(R 0.603, F 0.589)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.145] [G acc: 0.164]\n",
      "3732 [D loss: (0.654)(R 0.680, F 0.628)] [D acc: (0.631)(0.543, 0.719)] [G loss: 1.108] [G acc: 0.152]\n",
      "3733 [D loss: (0.589)(R 0.629, F 0.549)] [D acc: (0.691)(0.582, 0.801)] [G loss: 1.226] [G acc: 0.098]\n",
      "3734 [D loss: (0.591)(R 0.600, F 0.581)] [D acc: (0.668)(0.637, 0.699)] [G loss: 1.159] [G acc: 0.125]\n",
      "3735 [D loss: (0.610)(R 0.627, F 0.593)] [D acc: (0.656)(0.590, 0.723)] [G loss: 1.107] [G acc: 0.141]\n",
      "3736 [D loss: (0.623)(R 0.595, F 0.650)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.157] [G acc: 0.160]\n",
      "3737 [D loss: (0.584)(R 0.612, F 0.555)] [D acc: (0.666)(0.574, 0.758)] [G loss: 1.124] [G acc: 0.152]\n",
      "3738 [D loss: (0.582)(R 0.587, F 0.578)] [D acc: (0.711)(0.645, 0.777)] [G loss: 1.188] [G acc: 0.188]\n",
      "3739 [D loss: (0.565)(R 0.561, F 0.568)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.220] [G acc: 0.133]\n",
      "3740 [D loss: (0.595)(R 0.630, F 0.559)] [D acc: (0.684)(0.582, 0.785)] [G loss: 1.240] [G acc: 0.141]\n",
      "3741 [D loss: (0.584)(R 0.618, F 0.550)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.154] [G acc: 0.133]\n",
      "3742 [D loss: (0.568)(R 0.621, F 0.516)] [D acc: (0.721)(0.602, 0.840)] [G loss: 1.240] [G acc: 0.105]\n",
      "3743 [D loss: (0.560)(R 0.529, F 0.591)] [D acc: (0.697)(0.668, 0.727)] [G loss: 1.138] [G acc: 0.152]\n",
      "3744 [D loss: (0.634)(R 0.633, F 0.634)] [D acc: (0.660)(0.605, 0.715)] [G loss: 1.143] [G acc: 0.164]\n",
      "3745 [D loss: (0.638)(R 0.656, F 0.621)] [D acc: (0.631)(0.578, 0.684)] [G loss: 1.082] [G acc: 0.184]\n",
      "3746 [D loss: (0.587)(R 0.589, F 0.585)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.065] [G acc: 0.164]\n",
      "3747 [D loss: (0.587)(R 0.591, F 0.583)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.155] [G acc: 0.160]\n",
      "3748 [D loss: (0.597)(R 0.561, F 0.632)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.217] [G acc: 0.141]\n",
      "3749 [D loss: (0.586)(R 0.658, F 0.515)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.317] [G acc: 0.090]\n",
      "3750 [D loss: (0.579)(R 0.576, F 0.582)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.059] [G acc: 0.238]\n",
      "3751 [D loss: (0.580)(R 0.559, F 0.600)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.079] [G acc: 0.164]\n",
      "3752 [D loss: (0.585)(R 0.588, F 0.582)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.140] [G acc: 0.125]\n",
      "3753 [D loss: (0.581)(R 0.577, F 0.585)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.145] [G acc: 0.156]\n",
      "3754 [D loss: (0.573)(R 0.588, F 0.558)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.181] [G acc: 0.156]\n",
      "3755 [D loss: (0.575)(R 0.594, F 0.555)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.228] [G acc: 0.164]\n",
      "3756 [D loss: (0.562)(R 0.572, F 0.552)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.235] [G acc: 0.121]\n",
      "3757 [D loss: (0.647)(R 0.679, F 0.616)] [D acc: (0.635)(0.523, 0.746)] [G loss: 1.141] [G acc: 0.133]\n",
      "3758 [D loss: (0.594)(R 0.596, F 0.592)] [D acc: (0.670)(0.633, 0.707)] [G loss: 1.170] [G acc: 0.168]\n",
      "3759 [D loss: (0.590)(R 0.575, F 0.604)] [D acc: (0.648)(0.605, 0.691)] [G loss: 1.072] [G acc: 0.184]\n",
      "3760 [D loss: (0.580)(R 0.613, F 0.548)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.086] [G acc: 0.199]\n",
      "3761 [D loss: (0.568)(R 0.556, F 0.580)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.128] [G acc: 0.160]\n",
      "3762 [D loss: (0.577)(R 0.576, F 0.577)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.131] [G acc: 0.191]\n",
      "3763 [D loss: (0.597)(R 0.585, F 0.610)] [D acc: (0.648)(0.613, 0.684)] [G loss: 1.167] [G acc: 0.125]\n",
      "3764 [D loss: (0.614)(R 0.595, F 0.632)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.213] [G acc: 0.113]\n",
      "3765 [D loss: (0.571)(R 0.595, F 0.548)] [D acc: (0.695)(0.594, 0.797)] [G loss: 1.249] [G acc: 0.102]\n",
      "3766 [D loss: (0.592)(R 0.620, F 0.564)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.165] [G acc: 0.176]\n",
      "3767 [D loss: (0.602)(R 0.612, F 0.591)] [D acc: (0.658)(0.590, 0.727)] [G loss: 1.153] [G acc: 0.133]\n",
      "3768 [D loss: (0.576)(R 0.582, F 0.571)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.099] [G acc: 0.145]\n",
      "3769 [D loss: (0.634)(R 0.623, F 0.644)] [D acc: (0.633)(0.566, 0.699)] [G loss: 1.162] [G acc: 0.121]\n",
      "3770 [D loss: (0.573)(R 0.612, F 0.534)] [D acc: (0.715)(0.613, 0.816)] [G loss: 1.152] [G acc: 0.152]\n",
      "3771 [D loss: (0.598)(R 0.611, F 0.584)] [D acc: (0.686)(0.594, 0.777)] [G loss: 1.127] [G acc: 0.137]\n",
      "3772 [D loss: (0.601)(R 0.601, F 0.601)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.149] [G acc: 0.137]\n",
      "3773 [D loss: (0.577)(R 0.627, F 0.527)] [D acc: (0.701)(0.602, 0.801)] [G loss: 1.298] [G acc: 0.062]\n",
      "3774 [D loss: (0.583)(R 0.623, F 0.542)] [D acc: (0.678)(0.594, 0.762)] [G loss: 1.155] [G acc: 0.156]\n",
      "3775 [D loss: (0.566)(R 0.506, F 0.626)] [D acc: (0.709)(0.680, 0.738)] [G loss: 1.113] [G acc: 0.109]\n",
      "3776 [D loss: (0.586)(R 0.588, F 0.585)] [D acc: (0.713)(0.648, 0.777)] [G loss: 1.096] [G acc: 0.145]\n",
      "3777 [D loss: (0.547)(R 0.524, F 0.570)] [D acc: (0.717)(0.680, 0.754)] [G loss: 1.217] [G acc: 0.137]\n",
      "3778 [D loss: (0.608)(R 0.647, F 0.570)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.129] [G acc: 0.180]\n",
      "3779 [D loss: (0.624)(R 0.621, F 0.626)] [D acc: (0.643)(0.598, 0.688)] [G loss: 1.162] [G acc: 0.133]\n",
      "3780 [D loss: (0.613)(R 0.641, F 0.585)] [D acc: (0.670)(0.582, 0.758)] [G loss: 1.117] [G acc: 0.172]\n",
      "3781 [D loss: (0.563)(R 0.545, F 0.582)] [D acc: (0.689)(0.652, 0.727)] [G loss: 1.118] [G acc: 0.160]\n",
      "3782 [D loss: (0.548)(R 0.551, F 0.546)] [D acc: (0.725)(0.684, 0.766)] [G loss: 1.180] [G acc: 0.160]\n",
      "3783 [D loss: (0.573)(R 0.568, F 0.577)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.151] [G acc: 0.172]\n",
      "3784 [D loss: (0.607)(R 0.611, F 0.603)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.126] [G acc: 0.176]\n",
      "3785 [D loss: (0.572)(R 0.567, F 0.577)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.180] [G acc: 0.168]\n",
      "3786 [D loss: (0.572)(R 0.558, F 0.586)] [D acc: (0.709)(0.668, 0.750)] [G loss: 1.160] [G acc: 0.176]\n",
      "3787 [D loss: (0.586)(R 0.592, F 0.579)] [D acc: (0.711)(0.656, 0.766)] [G loss: 1.348] [G acc: 0.109]\n",
      "3788 [D loss: (0.594)(R 0.676, F 0.512)] [D acc: (0.682)(0.559, 0.805)] [G loss: 1.180] [G acc: 0.129]\n",
      "3789 [D loss: (0.591)(R 0.537, F 0.645)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.121] [G acc: 0.168]\n",
      "3790 [D loss: (0.629)(R 0.574, F 0.684)] [D acc: (0.658)(0.645, 0.672)] [G loss: 1.150] [G acc: 0.156]\n",
      "3791 [D loss: (0.586)(R 0.604, F 0.569)] [D acc: (0.670)(0.594, 0.746)] [G loss: 1.163] [G acc: 0.148]\n",
      "3792 [D loss: (0.581)(R 0.608, F 0.554)] [D acc: (0.678)(0.578, 0.777)] [G loss: 1.123] [G acc: 0.145]\n",
      "3793 [D loss: (0.596)(R 0.560, F 0.633)] [D acc: (0.695)(0.656, 0.734)] [G loss: 1.201] [G acc: 0.121]\n",
      "3794 [D loss: (0.577)(R 0.596, F 0.557)] [D acc: (0.703)(0.590, 0.816)] [G loss: 1.107] [G acc: 0.156]\n",
      "3795 [D loss: (0.558)(R 0.583, F 0.532)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.229] [G acc: 0.176]\n",
      "3796 [D loss: (0.572)(R 0.587, F 0.557)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.254] [G acc: 0.102]\n",
      "3797 [D loss: (0.577)(R 0.591, F 0.563)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.269] [G acc: 0.145]\n",
      "3798 [D loss: (0.574)(R 0.595, F 0.554)] [D acc: (0.701)(0.629, 0.773)] [G loss: 1.357] [G acc: 0.074]\n",
      "3799 [D loss: (0.576)(R 0.572, F 0.581)] [D acc: (0.689)(0.648, 0.730)] [G loss: 1.176] [G acc: 0.180]\n",
      "3800 [D loss: (0.584)(R 0.537, F 0.630)] [D acc: (0.734)(0.723, 0.746)] [G loss: 1.152] [G acc: 0.137]\n",
      "3801 [D loss: (0.592)(R 0.613, F 0.571)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.182] [G acc: 0.164]\n",
      "3802 [D loss: (0.586)(R 0.566, F 0.606)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.270] [G acc: 0.160]\n",
      "3803 [D loss: (0.623)(R 0.656, F 0.590)] [D acc: (0.645)(0.574, 0.715)] [G loss: 1.152] [G acc: 0.164]\n",
      "3804 [D loss: (0.601)(R 0.605, F 0.596)] [D acc: (0.660)(0.578, 0.742)] [G loss: 1.093] [G acc: 0.172]\n",
      "3805 [D loss: (0.586)(R 0.617, F 0.555)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.137] [G acc: 0.184]\n",
      "3806 [D loss: (0.580)(R 0.567, F 0.593)] [D acc: (0.686)(0.641, 0.730)] [G loss: 1.181] [G acc: 0.137]\n",
      "3807 [D loss: (0.605)(R 0.587, F 0.623)] [D acc: (0.684)(0.652, 0.715)] [G loss: 1.130] [G acc: 0.156]\n",
      "3808 [D loss: (0.610)(R 0.633, F 0.587)] [D acc: (0.639)(0.570, 0.707)] [G loss: 1.124] [G acc: 0.156]\n",
      "3809 [D loss: (0.607)(R 0.626, F 0.587)] [D acc: (0.662)(0.578, 0.746)] [G loss: 1.146] [G acc: 0.184]\n",
      "3810 [D loss: (0.590)(R 0.615, F 0.565)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.164] [G acc: 0.125]\n",
      "3811 [D loss: (0.570)(R 0.596, F 0.543)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.157] [G acc: 0.145]\n",
      "3812 [D loss: (0.581)(R 0.562, F 0.600)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.181] [G acc: 0.129]\n",
      "3813 [D loss: (0.579)(R 0.588, F 0.571)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.147] [G acc: 0.129]\n",
      "3814 [D loss: (0.548)(R 0.568, F 0.527)] [D acc: (0.725)(0.652, 0.797)] [G loss: 1.182] [G acc: 0.125]\n",
      "3815 [D loss: (0.580)(R 0.550, F 0.609)] [D acc: (0.721)(0.668, 0.773)] [G loss: 1.238] [G acc: 0.121]\n",
      "3816 [D loss: (0.569)(R 0.567, F 0.572)] [D acc: (0.715)(0.656, 0.773)] [G loss: 1.186] [G acc: 0.164]\n",
      "3817 [D loss: (0.586)(R 0.649, F 0.523)] [D acc: (0.703)(0.574, 0.832)] [G loss: 1.246] [G acc: 0.098]\n",
      "3818 [D loss: (0.573)(R 0.553, F 0.593)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.236] [G acc: 0.145]\n",
      "3819 [D loss: (0.577)(R 0.632, F 0.521)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.206] [G acc: 0.113]\n",
      "3820 [D loss: (0.576)(R 0.593, F 0.559)] [D acc: (0.693)(0.617, 0.770)] [G loss: 1.237] [G acc: 0.102]\n",
      "3821 [D loss: (0.584)(R 0.562, F 0.607)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.156] [G acc: 0.148]\n",
      "3822 [D loss: (0.575)(R 0.594, F 0.557)] [D acc: (0.709)(0.625, 0.793)] [G loss: 1.154] [G acc: 0.129]\n",
      "3823 [D loss: (0.542)(R 0.562, F 0.523)] [D acc: (0.736)(0.668, 0.805)] [G loss: 1.114] [G acc: 0.156]\n",
      "3824 [D loss: (0.562)(R 0.545, F 0.578)] [D acc: (0.709)(0.645, 0.773)] [G loss: 1.128] [G acc: 0.113]\n",
      "3825 [D loss: (0.560)(R 0.538, F 0.582)] [D acc: (0.713)(0.656, 0.770)] [G loss: 1.109] [G acc: 0.160]\n",
      "3826 [D loss: (0.581)(R 0.559, F 0.602)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.212] [G acc: 0.164]\n",
      "3827 [D loss: (0.550)(R 0.590, F 0.509)] [D acc: (0.715)(0.617, 0.812)] [G loss: 1.227] [G acc: 0.156]\n",
      "3828 [D loss: (0.571)(R 0.494, F 0.649)] [D acc: (0.695)(0.711, 0.680)] [G loss: 1.329] [G acc: 0.086]\n",
      "3829 [D loss: (0.548)(R 0.596, F 0.499)] [D acc: (0.723)(0.625, 0.820)] [G loss: 1.388] [G acc: 0.059]\n",
      "3830 [D loss: (0.530)(R 0.512, F 0.548)] [D acc: (0.744)(0.688, 0.801)] [G loss: 1.223] [G acc: 0.152]\n",
      "3831 [D loss: (0.615)(R 0.571, F 0.659)] [D acc: (0.664)(0.641, 0.688)] [G loss: 1.169] [G acc: 0.172]\n",
      "3832 [D loss: (0.598)(R 0.596, F 0.601)] [D acc: (0.656)(0.602, 0.711)] [G loss: 1.190] [G acc: 0.113]\n",
      "3833 [D loss: (0.588)(R 0.606, F 0.570)] [D acc: (0.678)(0.590, 0.766)] [G loss: 1.189] [G acc: 0.160]\n",
      "3834 [D loss: (0.585)(R 0.606, F 0.563)] [D acc: (0.689)(0.598, 0.781)] [G loss: 1.231] [G acc: 0.129]\n",
      "3835 [D loss: (0.592)(R 0.574, F 0.610)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.238] [G acc: 0.141]\n",
      "3836 [D loss: (0.613)(R 0.651, F 0.574)] [D acc: (0.658)(0.555, 0.762)] [G loss: 1.221] [G acc: 0.109]\n",
      "3837 [D loss: (0.585)(R 0.587, F 0.584)] [D acc: (0.697)(0.617, 0.777)] [G loss: 1.230] [G acc: 0.129]\n",
      "3838 [D loss: (0.556)(R 0.589, F 0.523)] [D acc: (0.721)(0.637, 0.805)] [G loss: 1.259] [G acc: 0.141]\n",
      "3839 [D loss: (0.578)(R 0.591, F 0.566)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.238] [G acc: 0.160]\n",
      "3840 [D loss: (0.575)(R 0.603, F 0.547)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.235] [G acc: 0.137]\n",
      "3841 [D loss: (0.578)(R 0.570, F 0.586)] [D acc: (0.715)(0.676, 0.754)] [G loss: 1.242] [G acc: 0.145]\n",
      "3842 [D loss: (0.579)(R 0.564, F 0.594)] [D acc: (0.666)(0.605, 0.727)] [G loss: 1.243] [G acc: 0.117]\n",
      "3843 [D loss: (0.625)(R 0.640, F 0.609)] [D acc: (0.650)(0.602, 0.699)] [G loss: 1.153] [G acc: 0.172]\n",
      "3844 [D loss: (0.582)(R 0.584, F 0.580)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.171] [G acc: 0.176]\n",
      "3845 [D loss: (0.624)(R 0.639, F 0.610)] [D acc: (0.656)(0.598, 0.715)] [G loss: 1.185] [G acc: 0.168]\n",
      "3846 [D loss: (0.579)(R 0.610, F 0.548)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.201] [G acc: 0.121]\n",
      "3847 [D loss: (0.563)(R 0.551, F 0.575)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.192] [G acc: 0.145]\n",
      "3848 [D loss: (0.549)(R 0.591, F 0.506)] [D acc: (0.734)(0.641, 0.828)] [G loss: 1.180] [G acc: 0.160]\n",
      "3849 [D loss: (0.563)(R 0.523, F 0.603)] [D acc: (0.680)(0.641, 0.719)] [G loss: 1.143] [G acc: 0.160]\n",
      "3850 [D loss: (0.616)(R 0.610, F 0.621)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.259] [G acc: 0.102]\n",
      "3851 [D loss: (0.576)(R 0.600, F 0.551)] [D acc: (0.697)(0.598, 0.797)] [G loss: 1.118] [G acc: 0.188]\n",
      "3852 [D loss: (0.602)(R 0.609, F 0.595)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.207] [G acc: 0.094]\n",
      "3853 [D loss: (0.606)(R 0.671, F 0.542)] [D acc: (0.662)(0.543, 0.781)] [G loss: 1.192] [G acc: 0.141]\n",
      "3854 [D loss: (0.598)(R 0.573, F 0.623)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.098] [G acc: 0.219]\n",
      "3855 [D loss: (0.545)(R 0.547, F 0.543)] [D acc: (0.719)(0.656, 0.781)] [G loss: 1.171] [G acc: 0.156]\n",
      "3856 [D loss: (0.586)(R 0.571, F 0.600)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.265] [G acc: 0.152]\n",
      "3857 [D loss: (0.571)(R 0.631, F 0.510)] [D acc: (0.725)(0.598, 0.852)] [G loss: 1.283] [G acc: 0.094]\n",
      "3858 [D loss: (0.611)(R 0.548, F 0.675)] [D acc: (0.672)(0.668, 0.676)] [G loss: 1.207] [G acc: 0.137]\n",
      "3859 [D loss: (0.566)(R 0.593, F 0.538)] [D acc: (0.682)(0.582, 0.781)] [G loss: 1.216] [G acc: 0.070]\n",
      "3860 [D loss: (0.623)(R 0.602, F 0.644)] [D acc: (0.646)(0.617, 0.676)] [G loss: 1.143] [G acc: 0.148]\n",
      "3861 [D loss: (0.608)(R 0.631, F 0.585)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.125] [G acc: 0.148]\n",
      "3862 [D loss: (0.566)(R 0.588, F 0.543)] [D acc: (0.701)(0.621, 0.781)] [G loss: 1.142] [G acc: 0.168]\n",
      "3863 [D loss: (0.592)(R 0.623, F 0.561)] [D acc: (0.670)(0.562, 0.777)] [G loss: 1.146] [G acc: 0.133]\n",
      "3864 [D loss: (0.629)(R 0.665, F 0.594)] [D acc: (0.641)(0.531, 0.750)] [G loss: 1.137] [G acc: 0.152]\n",
      "3865 [D loss: (0.577)(R 0.574, F 0.580)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.133] [G acc: 0.148]\n",
      "3866 [D loss: (0.601)(R 0.641, F 0.561)] [D acc: (0.668)(0.551, 0.785)] [G loss: 1.157] [G acc: 0.141]\n",
      "3867 [D loss: (0.596)(R 0.642, F 0.551)] [D acc: (0.646)(0.539, 0.754)] [G loss: 1.231] [G acc: 0.121]\n",
      "3868 [D loss: (0.604)(R 0.573, F 0.636)] [D acc: (0.662)(0.637, 0.688)] [G loss: 1.096] [G acc: 0.164]\n",
      "3869 [D loss: (0.572)(R 0.520, F 0.624)] [D acc: (0.693)(0.684, 0.703)] [G loss: 1.236] [G acc: 0.121]\n",
      "3870 [D loss: (0.592)(R 0.612, F 0.572)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.346] [G acc: 0.109]\n",
      "3871 [D loss: (0.531)(R 0.552, F 0.510)] [D acc: (0.744)(0.684, 0.805)] [G loss: 1.263] [G acc: 0.105]\n",
      "3872 [D loss: (0.601)(R 0.593, F 0.608)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.180] [G acc: 0.141]\n",
      "3873 [D loss: (0.598)(R 0.617, F 0.580)] [D acc: (0.676)(0.578, 0.773)] [G loss: 1.107] [G acc: 0.172]\n",
      "3874 [D loss: (0.579)(R 0.569, F 0.588)] [D acc: (0.682)(0.633, 0.730)] [G loss: 1.127] [G acc: 0.160]\n",
      "3875 [D loss: (0.591)(R 0.618, F 0.565)] [D acc: (0.678)(0.586, 0.770)] [G loss: 1.197] [G acc: 0.176]\n",
      "3876 [D loss: (0.613)(R 0.610, F 0.616)] [D acc: (0.652)(0.570, 0.734)] [G loss: 1.070] [G acc: 0.176]\n",
      "3877 [D loss: (0.576)(R 0.566, F 0.586)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.049] [G acc: 0.180]\n",
      "3878 [D loss: (0.562)(R 0.557, F 0.567)] [D acc: (0.684)(0.625, 0.742)] [G loss: 1.163] [G acc: 0.141]\n",
      "3879 [D loss: (0.548)(R 0.558, F 0.538)] [D acc: (0.723)(0.641, 0.805)] [G loss: 1.271] [G acc: 0.117]\n",
      "3880 [D loss: (0.553)(R 0.558, F 0.549)] [D acc: (0.752)(0.676, 0.828)] [G loss: 1.209] [G acc: 0.176]\n",
      "3881 [D loss: (0.546)(R 0.572, F 0.521)] [D acc: (0.729)(0.641, 0.816)] [G loss: 1.216] [G acc: 0.164]\n",
      "3882 [D loss: (0.561)(R 0.535, F 0.587)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.184] [G acc: 0.137]\n",
      "3883 [D loss: (0.615)(R 0.618, F 0.611)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.177] [G acc: 0.168]\n",
      "3884 [D loss: (0.575)(R 0.570, F 0.581)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.298] [G acc: 0.125]\n",
      "3885 [D loss: (0.618)(R 0.663, F 0.574)] [D acc: (0.652)(0.566, 0.738)] [G loss: 1.190] [G acc: 0.129]\n",
      "3886 [D loss: (0.595)(R 0.602, F 0.588)] [D acc: (0.664)(0.617, 0.711)] [G loss: 1.136] [G acc: 0.160]\n",
      "3887 [D loss: (0.582)(R 0.562, F 0.602)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.148] [G acc: 0.152]\n",
      "3888 [D loss: (0.570)(R 0.571, F 0.569)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.145] [G acc: 0.168]\n",
      "3889 [D loss: (0.553)(R 0.566, F 0.540)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.248] [G acc: 0.121]\n",
      "3890 [D loss: (0.578)(R 0.617, F 0.540)] [D acc: (0.729)(0.656, 0.801)] [G loss: 1.139] [G acc: 0.133]\n",
      "3891 [D loss: (0.577)(R 0.558, F 0.596)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.195] [G acc: 0.172]\n",
      "3892 [D loss: (0.545)(R 0.548, F 0.542)] [D acc: (0.729)(0.684, 0.773)] [G loss: 1.397] [G acc: 0.051]\n",
      "3893 [D loss: (0.607)(R 0.624, F 0.589)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.244] [G acc: 0.145]\n",
      "3894 [D loss: (0.547)(R 0.524, F 0.570)] [D acc: (0.721)(0.688, 0.754)] [G loss: 1.233] [G acc: 0.117]\n",
      "3895 [D loss: (0.604)(R 0.569, F 0.640)] [D acc: (0.662)(0.633, 0.691)] [G loss: 1.233] [G acc: 0.125]\n",
      "3896 [D loss: (0.578)(R 0.573, F 0.583)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.218] [G acc: 0.090]\n",
      "3897 [D loss: (0.578)(R 0.619, F 0.537)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.213] [G acc: 0.113]\n",
      "3898 [D loss: (0.600)(R 0.632, F 0.568)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.161] [G acc: 0.125]\n",
      "3899 [D loss: (0.568)(R 0.534, F 0.602)] [D acc: (0.721)(0.703, 0.738)] [G loss: 1.094] [G acc: 0.184]\n",
      "3900 [D loss: (0.563)(R 0.511, F 0.616)] [D acc: (0.689)(0.656, 0.723)] [G loss: 1.184] [G acc: 0.117]\n",
      "3901 [D loss: (0.582)(R 0.607, F 0.558)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.136] [G acc: 0.141]\n",
      "3902 [D loss: (0.624)(R 0.624, F 0.624)] [D acc: (0.635)(0.562, 0.707)] [G loss: 1.167] [G acc: 0.145]\n",
      "3903 [D loss: (0.560)(R 0.569, F 0.550)] [D acc: (0.721)(0.633, 0.809)] [G loss: 1.151] [G acc: 0.164]\n",
      "3904 [D loss: (0.595)(R 0.626, F 0.563)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.071] [G acc: 0.191]\n",
      "3905 [D loss: (0.585)(R 0.595, F 0.575)] [D acc: (0.676)(0.594, 0.758)] [G loss: 1.155] [G acc: 0.145]\n",
      "3906 [D loss: (0.602)(R 0.594, F 0.610)] [D acc: (0.654)(0.613, 0.695)] [G loss: 1.195] [G acc: 0.121]\n",
      "3907 [D loss: (0.585)(R 0.598, F 0.571)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.167] [G acc: 0.148]\n",
      "3908 [D loss: (0.595)(R 0.626, F 0.564)] [D acc: (0.691)(0.602, 0.781)] [G loss: 1.181] [G acc: 0.137]\n",
      "3909 [D loss: (0.583)(R 0.606, F 0.561)] [D acc: (0.670)(0.613, 0.727)] [G loss: 1.191] [G acc: 0.113]\n",
      "3910 [D loss: (0.571)(R 0.587, F 0.555)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.217] [G acc: 0.105]\n",
      "3911 [D loss: (0.562)(R 0.576, F 0.548)] [D acc: (0.715)(0.629, 0.801)] [G loss: 1.370] [G acc: 0.105]\n",
      "3912 [D loss: (0.591)(R 0.581, F 0.601)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.181] [G acc: 0.133]\n",
      "3913 [D loss: (0.595)(R 0.584, F 0.605)] [D acc: (0.660)(0.633, 0.688)] [G loss: 1.204] [G acc: 0.117]\n",
      "3914 [D loss: (0.568)(R 0.592, F 0.544)] [D acc: (0.721)(0.621, 0.820)] [G loss: 1.239] [G acc: 0.102]\n",
      "3915 [D loss: (0.535)(R 0.543, F 0.528)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.209] [G acc: 0.156]\n",
      "3916 [D loss: (0.567)(R 0.584, F 0.550)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.239] [G acc: 0.133]\n",
      "3917 [D loss: (0.588)(R 0.542, F 0.634)] [D acc: (0.686)(0.664, 0.707)] [G loss: 1.294] [G acc: 0.105]\n",
      "3918 [D loss: (0.574)(R 0.586, F 0.562)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.270] [G acc: 0.113]\n",
      "3919 [D loss: (0.559)(R 0.541, F 0.577)] [D acc: (0.709)(0.664, 0.754)] [G loss: 1.145] [G acc: 0.184]\n",
      "3920 [D loss: (0.570)(R 0.614, F 0.525)] [D acc: (0.697)(0.598, 0.797)] [G loss: 1.226] [G acc: 0.113]\n",
      "3921 [D loss: (0.588)(R 0.582, F 0.593)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.153] [G acc: 0.152]\n",
      "3922 [D loss: (0.567)(R 0.570, F 0.565)] [D acc: (0.717)(0.652, 0.781)] [G loss: 1.290] [G acc: 0.141]\n",
      "3923 [D loss: (0.625)(R 0.667, F 0.583)] [D acc: (0.678)(0.586, 0.770)] [G loss: 1.084] [G acc: 0.203]\n",
      "3924 [D loss: (0.603)(R 0.559, F 0.647)] [D acc: (0.641)(0.613, 0.668)] [G loss: 1.124] [G acc: 0.176]\n",
      "3925 [D loss: (0.589)(R 0.607, F 0.571)] [D acc: (0.678)(0.582, 0.773)] [G loss: 1.120] [G acc: 0.207]\n",
      "3926 [D loss: (0.591)(R 0.589, F 0.593)] [D acc: (0.709)(0.621, 0.797)] [G loss: 1.139] [G acc: 0.148]\n",
      "3927 [D loss: (0.534)(R 0.549, F 0.520)] [D acc: (0.719)(0.641, 0.797)] [G loss: 1.285] [G acc: 0.137]\n",
      "3928 [D loss: (0.593)(R 0.609, F 0.577)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.152] [G acc: 0.129]\n",
      "3929 [D loss: (0.630)(R 0.567, F 0.694)] [D acc: (0.648)(0.625, 0.672)] [G loss: 1.142] [G acc: 0.172]\n",
      "3930 [D loss: (0.576)(R 0.602, F 0.551)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.136] [G acc: 0.152]\n",
      "3931 [D loss: (0.624)(R 0.630, F 0.618)] [D acc: (0.656)(0.559, 0.754)] [G loss: 1.129] [G acc: 0.145]\n",
      "3932 [D loss: (0.573)(R 0.590, F 0.557)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.171] [G acc: 0.145]\n",
      "3933 [D loss: (0.571)(R 0.602, F 0.541)] [D acc: (0.727)(0.637, 0.816)] [G loss: 1.219] [G acc: 0.117]\n",
      "3934 [D loss: (0.597)(R 0.594, F 0.601)] [D acc: (0.658)(0.582, 0.734)] [G loss: 1.118] [G acc: 0.141]\n",
      "3935 [D loss: (0.589)(R 0.620, F 0.558)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.161] [G acc: 0.141]\n",
      "3936 [D loss: (0.561)(R 0.535, F 0.586)] [D acc: (0.697)(0.660, 0.734)] [G loss: 1.142] [G acc: 0.148]\n",
      "3937 [D loss: (0.543)(R 0.503, F 0.584)] [D acc: (0.719)(0.695, 0.742)] [G loss: 1.216] [G acc: 0.113]\n",
      "3938 [D loss: (0.599)(R 0.616, F 0.582)] [D acc: (0.678)(0.574, 0.781)] [G loss: 1.182] [G acc: 0.145]\n",
      "3939 [D loss: (0.583)(R 0.606, F 0.561)] [D acc: (0.670)(0.570, 0.770)] [G loss: 1.191] [G acc: 0.129]\n",
      "3940 [D loss: (0.611)(R 0.662, F 0.559)] [D acc: (0.664)(0.531, 0.797)] [G loss: 1.227] [G acc: 0.121]\n",
      "3941 [D loss: (0.595)(R 0.650, F 0.540)] [D acc: (0.666)(0.586, 0.746)] [G loss: 1.208] [G acc: 0.074]\n",
      "3942 [D loss: (0.586)(R 0.643, F 0.530)] [D acc: (0.666)(0.559, 0.773)] [G loss: 1.139] [G acc: 0.195]\n",
      "3943 [D loss: (0.559)(R 0.550, F 0.569)] [D acc: (0.684)(0.617, 0.750)] [G loss: 1.222] [G acc: 0.164]\n",
      "3944 [D loss: (0.587)(R 0.586, F 0.587)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.201] [G acc: 0.105]\n",
      "3945 [D loss: (0.577)(R 0.593, F 0.561)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.196] [G acc: 0.148]\n",
      "3946 [D loss: (0.585)(R 0.611, F 0.559)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.273] [G acc: 0.102]\n",
      "3947 [D loss: (0.569)(R 0.570, F 0.568)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.184] [G acc: 0.156]\n",
      "3948 [D loss: (0.547)(R 0.600, F 0.495)] [D acc: (0.738)(0.641, 0.836)] [G loss: 1.264] [G acc: 0.137]\n",
      "3949 [D loss: (0.642)(R 0.646, F 0.637)] [D acc: (0.621)(0.555, 0.688)] [G loss: 1.172] [G acc: 0.164]\n",
      "3950 [D loss: (0.564)(R 0.550, F 0.579)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.150] [G acc: 0.117]\n",
      "3951 [D loss: (0.568)(R 0.558, F 0.579)] [D acc: (0.721)(0.656, 0.785)] [G loss: 1.152] [G acc: 0.156]\n",
      "3952 [D loss: (0.579)(R 0.593, F 0.565)] [D acc: (0.688)(0.590, 0.785)] [G loss: 1.230] [G acc: 0.121]\n",
      "3953 [D loss: (0.558)(R 0.604, F 0.512)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.175] [G acc: 0.180]\n",
      "3954 [D loss: (0.595)(R 0.560, F 0.629)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.127] [G acc: 0.156]\n",
      "3955 [D loss: (0.583)(R 0.628, F 0.538)] [D acc: (0.676)(0.578, 0.773)] [G loss: 1.170] [G acc: 0.141]\n",
      "3956 [D loss: (0.580)(R 0.573, F 0.588)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.143] [G acc: 0.168]\n",
      "3957 [D loss: (0.622)(R 0.600, F 0.644)] [D acc: (0.654)(0.613, 0.695)] [G loss: 1.208] [G acc: 0.129]\n",
      "3958 [D loss: (0.524)(R 0.534, F 0.513)] [D acc: (0.744)(0.691, 0.797)] [G loss: 1.208] [G acc: 0.145]\n",
      "3959 [D loss: (0.622)(R 0.650, F 0.594)] [D acc: (0.643)(0.543, 0.742)] [G loss: 1.223] [G acc: 0.148]\n",
      "3960 [D loss: (0.609)(R 0.615, F 0.603)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.291] [G acc: 0.094]\n",
      "3961 [D loss: (0.588)(R 0.562, F 0.614)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.190] [G acc: 0.113]\n",
      "3962 [D loss: (0.591)(R 0.573, F 0.610)] [D acc: (0.701)(0.664, 0.738)] [G loss: 1.177] [G acc: 0.141]\n",
      "3963 [D loss: (0.605)(R 0.623, F 0.586)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.158] [G acc: 0.164]\n",
      "3964 [D loss: (0.596)(R 0.583, F 0.608)] [D acc: (0.668)(0.629, 0.707)] [G loss: 1.126] [G acc: 0.207]\n",
      "3965 [D loss: (0.554)(R 0.579, F 0.530)] [D acc: (0.705)(0.613, 0.797)] [G loss: 1.182] [G acc: 0.164]\n",
      "3966 [D loss: (0.584)(R 0.609, F 0.558)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.363] [G acc: 0.098]\n",
      "3967 [D loss: (0.737)(R 0.796, F 0.679)] [D acc: (0.588)(0.504, 0.672)] [G loss: 1.073] [G acc: 0.180]\n",
      "3968 [D loss: (0.585)(R 0.560, F 0.609)] [D acc: (0.670)(0.633, 0.707)] [G loss: 1.069] [G acc: 0.176]\n",
      "3969 [D loss: (0.604)(R 0.603, F 0.605)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.054] [G acc: 0.219]\n",
      "3970 [D loss: (0.604)(R 0.567, F 0.642)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.096] [G acc: 0.184]\n",
      "3971 [D loss: (0.586)(R 0.620, F 0.552)] [D acc: (0.670)(0.582, 0.758)] [G loss: 1.142] [G acc: 0.141]\n",
      "3972 [D loss: (0.613)(R 0.598, F 0.627)] [D acc: (0.639)(0.590, 0.688)] [G loss: 1.140] [G acc: 0.125]\n",
      "3973 [D loss: (0.551)(R 0.575, F 0.528)] [D acc: (0.727)(0.645, 0.809)] [G loss: 1.158] [G acc: 0.168]\n",
      "3974 [D loss: (0.604)(R 0.582, F 0.626)] [D acc: (0.662)(0.633, 0.691)] [G loss: 1.257] [G acc: 0.098]\n",
      "3975 [D loss: (0.589)(R 0.646, F 0.531)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.267] [G acc: 0.105]\n",
      "3976 [D loss: (0.590)(R 0.583, F 0.597)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.194] [G acc: 0.137]\n",
      "3977 [D loss: (0.585)(R 0.600, F 0.570)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.135] [G acc: 0.145]\n",
      "3978 [D loss: (0.589)(R 0.604, F 0.575)] [D acc: (0.686)(0.609, 0.762)] [G loss: 1.145] [G acc: 0.156]\n",
      "3979 [D loss: (0.619)(R 0.651, F 0.586)] [D acc: (0.660)(0.566, 0.754)] [G loss: 1.123] [G acc: 0.168]\n",
      "3980 [D loss: (0.596)(R 0.569, F 0.624)] [D acc: (0.689)(0.645, 0.734)] [G loss: 1.122] [G acc: 0.156]\n",
      "3981 [D loss: (0.578)(R 0.560, F 0.596)] [D acc: (0.699)(0.676, 0.723)] [G loss: 1.124] [G acc: 0.152]\n",
      "3982 [D loss: (0.558)(R 0.530, F 0.587)] [D acc: (0.717)(0.688, 0.746)] [G loss: 1.199] [G acc: 0.168]\n",
      "3983 [D loss: (0.605)(R 0.645, F 0.566)] [D acc: (0.701)(0.570, 0.832)] [G loss: 1.169] [G acc: 0.152]\n",
      "3984 [D loss: (0.558)(R 0.544, F 0.571)] [D acc: (0.703)(0.668, 0.738)] [G loss: 1.228] [G acc: 0.156]\n",
      "3985 [D loss: (0.591)(R 0.594, F 0.589)] [D acc: (0.707)(0.625, 0.789)] [G loss: 1.299] [G acc: 0.082]\n",
      "3986 [D loss: (0.596)(R 0.598, F 0.594)] [D acc: (0.664)(0.598, 0.730)] [G loss: 1.198] [G acc: 0.152]\n",
      "3987 [D loss: (0.591)(R 0.645, F 0.536)] [D acc: (0.697)(0.605, 0.789)] [G loss: 1.216] [G acc: 0.105]\n",
      "3988 [D loss: (0.614)(R 0.585, F 0.643)] [D acc: (0.646)(0.617, 0.676)] [G loss: 1.241] [G acc: 0.141]\n",
      "3989 [D loss: (0.594)(R 0.625, F 0.564)] [D acc: (0.709)(0.645, 0.773)] [G loss: 1.211] [G acc: 0.129]\n",
      "3990 [D loss: (0.582)(R 0.592, F 0.572)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.164] [G acc: 0.152]\n",
      "3991 [D loss: (0.576)(R 0.579, F 0.574)] [D acc: (0.715)(0.656, 0.773)] [G loss: 1.206] [G acc: 0.148]\n",
      "3992 [D loss: (0.541)(R 0.525, F 0.556)] [D acc: (0.748)(0.703, 0.793)] [G loss: 1.170] [G acc: 0.180]\n",
      "3993 [D loss: (0.586)(R 0.543, F 0.629)] [D acc: (0.699)(0.672, 0.727)] [G loss: 1.227] [G acc: 0.129]\n",
      "3994 [D loss: (0.580)(R 0.595, F 0.565)] [D acc: (0.689)(0.605, 0.773)] [G loss: 1.202] [G acc: 0.145]\n",
      "3995 [D loss: (0.587)(R 0.568, F 0.606)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.200] [G acc: 0.121]\n",
      "3996 [D loss: (0.547)(R 0.537, F 0.557)] [D acc: (0.695)(0.664, 0.727)] [G loss: 1.345] [G acc: 0.098]\n",
      "3997 [D loss: (0.579)(R 0.632, F 0.526)] [D acc: (0.713)(0.594, 0.832)] [G loss: 1.239] [G acc: 0.090]\n",
      "3998 [D loss: (0.587)(R 0.575, F 0.599)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.214] [G acc: 0.129]\n",
      "3999 [D loss: (0.576)(R 0.608, F 0.544)] [D acc: (0.713)(0.617, 0.809)] [G loss: 1.126] [G acc: 0.176]\n",
      "4000 [D loss: (0.549)(R 0.527, F 0.572)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.192] [G acc: 0.160]\n",
      "4001 [D loss: (0.593)(R 0.630, F 0.557)] [D acc: (0.656)(0.566, 0.746)] [G loss: 1.209] [G acc: 0.160]\n",
      "4002 [D loss: (0.556)(R 0.568, F 0.543)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.186] [G acc: 0.148]\n",
      "4003 [D loss: (0.592)(R 0.555, F 0.629)] [D acc: (0.713)(0.664, 0.762)] [G loss: 1.152] [G acc: 0.148]\n",
      "4004 [D loss: (0.594)(R 0.603, F 0.584)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.168] [G acc: 0.148]\n",
      "4005 [D loss: (0.604)(R 0.622, F 0.586)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.271] [G acc: 0.148]\n",
      "4006 [D loss: (0.573)(R 0.605, F 0.540)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.239] [G acc: 0.109]\n",
      "4007 [D loss: (0.593)(R 0.589, F 0.597)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.168] [G acc: 0.156]\n",
      "4008 [D loss: (0.564)(R 0.545, F 0.583)] [D acc: (0.693)(0.664, 0.723)] [G loss: 1.185] [G acc: 0.172]\n",
      "4009 [D loss: (0.621)(R 0.644, F 0.598)] [D acc: (0.641)(0.562, 0.719)] [G loss: 1.149] [G acc: 0.191]\n",
      "4010 [D loss: (0.566)(R 0.597, F 0.536)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.144] [G acc: 0.164]\n",
      "4011 [D loss: (0.586)(R 0.613, F 0.558)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.212] [G acc: 0.133]\n",
      "4012 [D loss: (0.567)(R 0.575, F 0.559)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.260] [G acc: 0.090]\n",
      "4013 [D loss: (0.612)(R 0.611, F 0.612)] [D acc: (0.654)(0.574, 0.734)] [G loss: 1.164] [G acc: 0.215]\n",
      "4014 [D loss: (0.571)(R 0.540, F 0.602)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.196] [G acc: 0.156]\n",
      "4015 [D loss: (0.593)(R 0.625, F 0.562)] [D acc: (0.709)(0.621, 0.797)] [G loss: 1.145] [G acc: 0.172]\n",
      "4016 [D loss: (0.565)(R 0.565, F 0.565)] [D acc: (0.693)(0.617, 0.770)] [G loss: 1.202] [G acc: 0.129]\n",
      "4017 [D loss: (0.555)(R 0.564, F 0.546)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.224] [G acc: 0.156]\n",
      "4018 [D loss: (0.567)(R 0.567, F 0.568)] [D acc: (0.713)(0.645, 0.781)] [G loss: 1.297] [G acc: 0.105]\n",
      "4019 [D loss: (0.581)(R 0.625, F 0.537)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.242] [G acc: 0.113]\n",
      "4020 [D loss: (0.552)(R 0.544, F 0.561)] [D acc: (0.732)(0.691, 0.773)] [G loss: 1.222] [G acc: 0.117]\n",
      "4021 [D loss: (0.558)(R 0.558, F 0.557)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.191] [G acc: 0.148]\n",
      "4022 [D loss: (0.581)(R 0.538, F 0.625)] [D acc: (0.699)(0.672, 0.727)] [G loss: 1.217] [G acc: 0.133]\n",
      "4023 [D loss: (0.599)(R 0.582, F 0.617)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.221] [G acc: 0.129]\n",
      "4024 [D loss: (0.556)(R 0.565, F 0.547)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.227] [G acc: 0.117]\n",
      "4025 [D loss: (0.594)(R 0.591, F 0.597)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.238] [G acc: 0.133]\n",
      "4026 [D loss: (0.615)(R 0.643, F 0.587)] [D acc: (0.646)(0.566, 0.727)] [G loss: 1.255] [G acc: 0.148]\n",
      "4027 [D loss: (0.558)(R 0.584, F 0.531)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.279] [G acc: 0.125]\n",
      "4028 [D loss: (0.564)(R 0.548, F 0.579)] [D acc: (0.723)(0.680, 0.766)] [G loss: 1.378] [G acc: 0.109]\n",
      "4029 [D loss: (0.511)(R 0.595, F 0.428)] [D acc: (0.758)(0.621, 0.895)] [G loss: 1.441] [G acc: 0.059]\n",
      "4030 [D loss: (0.594)(R 0.571, F 0.618)] [D acc: (0.684)(0.648, 0.719)] [G loss: 1.192] [G acc: 0.129]\n",
      "4031 [D loss: (0.569)(R 0.559, F 0.580)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.204] [G acc: 0.164]\n",
      "4032 [D loss: (0.561)(R 0.612, F 0.509)] [D acc: (0.678)(0.570, 0.785)] [G loss: 1.271] [G acc: 0.121]\n",
      "4033 [D loss: (0.594)(R 0.594, F 0.593)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.174] [G acc: 0.141]\n",
      "4034 [D loss: (0.568)(R 0.548, F 0.589)] [D acc: (0.717)(0.684, 0.750)] [G loss: 1.157] [G acc: 0.180]\n",
      "4035 [D loss: (0.546)(R 0.545, F 0.547)] [D acc: (0.721)(0.641, 0.801)] [G loss: 1.195] [G acc: 0.172]\n",
      "4036 [D loss: (0.619)(R 0.642, F 0.597)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.220] [G acc: 0.145]\n",
      "4037 [D loss: (0.591)(R 0.622, F 0.560)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.144] [G acc: 0.164]\n",
      "4038 [D loss: (0.590)(R 0.582, F 0.599)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.213] [G acc: 0.125]\n",
      "4039 [D loss: (0.581)(R 0.564, F 0.599)] [D acc: (0.680)(0.648, 0.711)] [G loss: 1.182] [G acc: 0.133]\n",
      "4040 [D loss: (0.566)(R 0.531, F 0.601)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.186] [G acc: 0.148]\n",
      "4041 [D loss: (0.586)(R 0.597, F 0.575)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.128] [G acc: 0.156]\n",
      "4042 [D loss: (0.587)(R 0.640, F 0.534)] [D acc: (0.674)(0.582, 0.766)] [G loss: 1.188] [G acc: 0.160]\n",
      "4043 [D loss: (0.579)(R 0.571, F 0.587)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.140] [G acc: 0.152]\n",
      "4044 [D loss: (0.605)(R 0.575, F 0.636)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.234] [G acc: 0.168]\n",
      "4045 [D loss: (0.587)(R 0.651, F 0.522)] [D acc: (0.678)(0.570, 0.785)] [G loss: 1.279] [G acc: 0.113]\n",
      "4046 [D loss: (0.568)(R 0.554, F 0.582)] [D acc: (0.713)(0.656, 0.770)] [G loss: 1.142] [G acc: 0.184]\n",
      "4047 [D loss: (0.619)(R 0.582, F 0.656)] [D acc: (0.637)(0.582, 0.691)] [G loss: 1.208] [G acc: 0.121]\n",
      "4048 [D loss: (0.642)(R 0.658, F 0.626)] [D acc: (0.648)(0.586, 0.711)] [G loss: 1.093] [G acc: 0.156]\n",
      "4049 [D loss: (0.611)(R 0.629, F 0.592)] [D acc: (0.648)(0.590, 0.707)] [G loss: 1.119] [G acc: 0.160]\n",
      "4050 [D loss: (0.588)(R 0.587, F 0.589)] [D acc: (0.684)(0.625, 0.742)] [G loss: 1.113] [G acc: 0.164]\n",
      "4051 [D loss: (0.560)(R 0.561, F 0.559)] [D acc: (0.711)(0.664, 0.758)] [G loss: 1.124] [G acc: 0.176]\n",
      "4052 [D loss: (0.573)(R 0.571, F 0.575)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.104] [G acc: 0.184]\n",
      "4053 [D loss: (0.579)(R 0.580, F 0.577)] [D acc: (0.697)(0.645, 0.750)] [G loss: 1.188] [G acc: 0.129]\n",
      "4054 [D loss: (0.589)(R 0.575, F 0.602)] [D acc: (0.672)(0.629, 0.715)] [G loss: 1.223] [G acc: 0.137]\n",
      "4055 [D loss: (0.584)(R 0.590, F 0.578)] [D acc: (0.682)(0.633, 0.730)] [G loss: 1.204] [G acc: 0.152]\n",
      "4056 [D loss: (0.607)(R 0.641, F 0.574)] [D acc: (0.650)(0.551, 0.750)] [G loss: 1.161] [G acc: 0.113]\n",
      "4057 [D loss: (0.587)(R 0.623, F 0.552)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.147] [G acc: 0.172]\n",
      "4058 [D loss: (0.604)(R 0.634, F 0.575)] [D acc: (0.686)(0.594, 0.777)] [G loss: 1.101] [G acc: 0.164]\n",
      "4059 [D loss: (0.556)(R 0.534, F 0.577)] [D acc: (0.701)(0.652, 0.750)] [G loss: 1.191] [G acc: 0.137]\n",
      "4060 [D loss: (0.585)(R 0.588, F 0.583)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.108] [G acc: 0.168]\n",
      "4061 [D loss: (0.595)(R 0.517, F 0.674)] [D acc: (0.693)(0.691, 0.695)] [G loss: 1.141] [G acc: 0.168]\n",
      "4062 [D loss: (0.542)(R 0.594, F 0.489)] [D acc: (0.738)(0.641, 0.836)] [G loss: 1.242] [G acc: 0.102]\n",
      "4063 [D loss: (0.539)(R 0.519, F 0.559)] [D acc: (0.725)(0.684, 0.766)] [G loss: 1.174] [G acc: 0.207]\n",
      "4064 [D loss: (0.587)(R 0.586, F 0.589)] [D acc: (0.709)(0.617, 0.801)] [G loss: 1.263] [G acc: 0.094]\n",
      "4065 [D loss: (0.620)(R 0.624, F 0.617)] [D acc: (0.643)(0.574, 0.711)] [G loss: 1.192] [G acc: 0.152]\n",
      "4066 [D loss: (0.567)(R 0.593, F 0.540)] [D acc: (0.713)(0.641, 0.785)] [G loss: 1.179] [G acc: 0.117]\n",
      "4067 [D loss: (0.586)(R 0.558, F 0.613)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.130] [G acc: 0.160]\n",
      "4068 [D loss: (0.571)(R 0.572, F 0.569)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.163] [G acc: 0.125]\n",
      "4069 [D loss: (0.609)(R 0.583, F 0.635)] [D acc: (0.652)(0.602, 0.703)] [G loss: 1.066] [G acc: 0.133]\n",
      "4070 [D loss: (0.582)(R 0.598, F 0.567)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.174] [G acc: 0.148]\n",
      "4071 [D loss: (0.580)(R 0.603, F 0.556)] [D acc: (0.699)(0.590, 0.809)] [G loss: 1.174] [G acc: 0.129]\n",
      "4072 [D loss: (0.578)(R 0.574, F 0.581)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.140] [G acc: 0.133]\n",
      "4073 [D loss: (0.568)(R 0.530, F 0.605)] [D acc: (0.717)(0.664, 0.770)] [G loss: 1.219] [G acc: 0.109]\n",
      "4074 [D loss: (0.613)(R 0.590, F 0.637)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.139] [G acc: 0.129]\n",
      "4075 [D loss: (0.596)(R 0.641, F 0.552)] [D acc: (0.703)(0.602, 0.805)] [G loss: 1.226] [G acc: 0.094]\n",
      "4076 [D loss: (0.611)(R 0.607, F 0.614)] [D acc: (0.650)(0.590, 0.711)] [G loss: 1.213] [G acc: 0.129]\n",
      "4077 [D loss: (0.562)(R 0.553, F 0.572)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.196] [G acc: 0.090]\n",
      "4078 [D loss: (0.607)(R 0.638, F 0.577)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.143] [G acc: 0.172]\n",
      "4079 [D loss: (0.620)(R 0.617, F 0.624)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.152] [G acc: 0.125]\n",
      "4080 [D loss: (0.583)(R 0.593, F 0.572)] [D acc: (0.695)(0.633, 0.758)] [G loss: 1.119] [G acc: 0.152]\n",
      "4081 [D loss: (0.608)(R 0.644, F 0.571)] [D acc: (0.656)(0.562, 0.750)] [G loss: 1.148] [G acc: 0.098]\n",
      "4082 [D loss: (0.612)(R 0.652, F 0.571)] [D acc: (0.684)(0.590, 0.777)] [G loss: 1.139] [G acc: 0.156]\n",
      "4083 [D loss: (0.569)(R 0.588, F 0.550)] [D acc: (0.689)(0.586, 0.793)] [G loss: 1.093] [G acc: 0.188]\n",
      "4084 [D loss: (0.593)(R 0.580, F 0.606)] [D acc: (0.672)(0.641, 0.703)] [G loss: 1.139] [G acc: 0.184]\n",
      "4085 [D loss: (0.568)(R 0.593, F 0.542)] [D acc: (0.721)(0.641, 0.801)] [G loss: 1.084] [G acc: 0.160]\n",
      "4086 [D loss: (0.587)(R 0.551, F 0.623)] [D acc: (0.727)(0.680, 0.773)] [G loss: 1.263] [G acc: 0.117]\n",
      "4087 [D loss: (0.607)(R 0.683, F 0.532)] [D acc: (0.668)(0.535, 0.801)] [G loss: 1.136] [G acc: 0.184]\n",
      "4088 [D loss: (0.589)(R 0.555, F 0.623)] [D acc: (0.695)(0.664, 0.727)] [G loss: 1.115] [G acc: 0.203]\n",
      "4089 [D loss: (0.551)(R 0.546, F 0.555)] [D acc: (0.719)(0.645, 0.793)] [G loss: 1.166] [G acc: 0.156]\n",
      "4090 [D loss: (0.587)(R 0.548, F 0.626)] [D acc: (0.707)(0.680, 0.734)] [G loss: 1.198] [G acc: 0.137]\n",
      "4091 [D loss: (0.593)(R 0.581, F 0.606)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.140] [G acc: 0.129]\n",
      "4092 [D loss: (0.573)(R 0.606, F 0.540)] [D acc: (0.701)(0.613, 0.789)] [G loss: 1.280] [G acc: 0.137]\n",
      "4093 [D loss: (0.580)(R 0.600, F 0.560)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.234] [G acc: 0.121]\n",
      "4094 [D loss: (0.590)(R 0.623, F 0.557)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.150] [G acc: 0.160]\n",
      "4095 [D loss: (0.560)(R 0.555, F 0.565)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.196] [G acc: 0.195]\n",
      "4096 [D loss: (0.565)(R 0.519, F 0.612)] [D acc: (0.703)(0.699, 0.707)] [G loss: 1.219] [G acc: 0.109]\n",
      "4097 [D loss: (0.589)(R 0.590, F 0.589)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.201] [G acc: 0.184]\n",
      "4098 [D loss: (0.550)(R 0.578, F 0.522)] [D acc: (0.719)(0.637, 0.801)] [G loss: 1.139] [G acc: 0.164]\n",
      "4099 [D loss: (0.572)(R 0.572, F 0.573)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.188] [G acc: 0.168]\n",
      "4100 [D loss: (0.574)(R 0.590, F 0.559)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.191] [G acc: 0.109]\n",
      "4101 [D loss: (0.552)(R 0.524, F 0.579)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.202] [G acc: 0.133]\n",
      "4102 [D loss: (0.573)(R 0.581, F 0.565)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.137] [G acc: 0.164]\n",
      "4103 [D loss: (0.569)(R 0.519, F 0.618)] [D acc: (0.697)(0.691, 0.703)] [G loss: 1.239] [G acc: 0.133]\n",
      "4104 [D loss: (0.565)(R 0.572, F 0.558)] [D acc: (0.715)(0.648, 0.781)] [G loss: 1.161] [G acc: 0.195]\n",
      "4105 [D loss: (0.623)(R 0.622, F 0.623)] [D acc: (0.654)(0.625, 0.684)] [G loss: 1.157] [G acc: 0.148]\n",
      "4106 [D loss: (0.577)(R 0.580, F 0.573)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.179] [G acc: 0.133]\n",
      "4107 [D loss: (0.558)(R 0.521, F 0.595)] [D acc: (0.707)(0.676, 0.738)] [G loss: 1.229] [G acc: 0.164]\n",
      "4108 [D loss: (0.538)(R 0.567, F 0.508)] [D acc: (0.748)(0.668, 0.828)] [G loss: 1.245] [G acc: 0.102]\n",
      "4109 [D loss: (0.564)(R 0.570, F 0.557)] [D acc: (0.713)(0.660, 0.766)] [G loss: 1.109] [G acc: 0.207]\n",
      "4110 [D loss: (0.573)(R 0.549, F 0.597)] [D acc: (0.656)(0.625, 0.688)] [G loss: 1.165] [G acc: 0.184]\n",
      "4111 [D loss: (0.585)(R 0.587, F 0.583)] [D acc: (0.652)(0.602, 0.703)] [G loss: 1.187] [G acc: 0.188]\n",
      "4112 [D loss: (0.620)(R 0.580, F 0.660)] [D acc: (0.641)(0.629, 0.652)] [G loss: 1.163] [G acc: 0.152]\n",
      "4113 [D loss: (0.566)(R 0.546, F 0.586)] [D acc: (0.732)(0.699, 0.766)] [G loss: 1.207] [G acc: 0.141]\n",
      "4114 [D loss: (0.595)(R 0.579, F 0.611)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.132] [G acc: 0.191]\n",
      "4115 [D loss: (0.552)(R 0.553, F 0.550)] [D acc: (0.713)(0.648, 0.777)] [G loss: 1.284] [G acc: 0.109]\n",
      "4116 [D loss: (0.597)(R 0.585, F 0.608)] [D acc: (0.662)(0.633, 0.691)] [G loss: 1.264] [G acc: 0.129]\n",
      "4117 [D loss: (0.596)(R 0.628, F 0.564)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.216] [G acc: 0.102]\n",
      "4118 [D loss: (0.588)(R 0.607, F 0.568)] [D acc: (0.666)(0.605, 0.727)] [G loss: 1.137] [G acc: 0.176]\n",
      "4119 [D loss: (0.533)(R 0.512, F 0.553)] [D acc: (0.727)(0.684, 0.770)] [G loss: 1.175] [G acc: 0.180]\n",
      "4120 [D loss: (0.609)(R 0.593, F 0.624)] [D acc: (0.680)(0.668, 0.691)] [G loss: 1.250] [G acc: 0.137]\n",
      "4121 [D loss: (0.572)(R 0.615, F 0.530)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.276] [G acc: 0.105]\n",
      "4122 [D loss: (0.558)(R 0.541, F 0.575)] [D acc: (0.688)(0.668, 0.707)] [G loss: 1.296] [G acc: 0.125]\n",
      "4123 [D loss: (0.612)(R 0.633, F 0.591)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.169] [G acc: 0.137]\n",
      "4124 [D loss: (0.551)(R 0.552, F 0.549)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.176] [G acc: 0.125]\n",
      "4125 [D loss: (0.585)(R 0.561, F 0.609)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.197] [G acc: 0.164]\n",
      "4126 [D loss: (0.604)(R 0.631, F 0.577)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.288] [G acc: 0.109]\n",
      "4127 [D loss: (0.633)(R 0.663, F 0.603)] [D acc: (0.643)(0.574, 0.711)] [G loss: 1.154] [G acc: 0.121]\n",
      "4128 [D loss: (0.562)(R 0.574, F 0.550)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.115] [G acc: 0.188]\n",
      "4129 [D loss: (0.576)(R 0.542, F 0.610)] [D acc: (0.686)(0.672, 0.699)] [G loss: 1.134] [G acc: 0.188]\n",
      "4130 [D loss: (0.570)(R 0.609, F 0.530)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.213] [G acc: 0.141]\n",
      "4131 [D loss: (0.583)(R 0.543, F 0.622)] [D acc: (0.703)(0.676, 0.730)] [G loss: 1.197] [G acc: 0.145]\n",
      "4132 [D loss: (0.551)(R 0.536, F 0.566)] [D acc: (0.711)(0.672, 0.750)] [G loss: 1.269] [G acc: 0.078]\n",
      "4133 [D loss: (0.567)(R 0.569, F 0.566)] [D acc: (0.723)(0.652, 0.793)] [G loss: 1.217] [G acc: 0.129]\n",
      "4134 [D loss: (0.589)(R 0.587, F 0.590)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.256] [G acc: 0.090]\n",
      "4135 [D loss: (0.571)(R 0.596, F 0.546)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.190] [G acc: 0.164]\n",
      "4136 [D loss: (0.571)(R 0.586, F 0.556)] [D acc: (0.713)(0.664, 0.762)] [G loss: 1.205] [G acc: 0.105]\n",
      "4137 [D loss: (0.630)(R 0.692, F 0.568)] [D acc: (0.648)(0.543, 0.754)] [G loss: 1.226] [G acc: 0.121]\n",
      "4138 [D loss: (0.631)(R 0.644, F 0.618)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.167] [G acc: 0.152]\n",
      "4139 [D loss: (0.591)(R 0.556, F 0.627)] [D acc: (0.682)(0.652, 0.711)] [G loss: 1.190] [G acc: 0.141]\n",
      "4140 [D loss: (0.545)(R 0.532, F 0.558)] [D acc: (0.709)(0.672, 0.746)] [G loss: 1.215] [G acc: 0.129]\n",
      "4141 [D loss: (0.556)(R 0.563, F 0.549)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.202] [G acc: 0.137]\n",
      "4142 [D loss: (0.588)(R 0.584, F 0.592)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.202] [G acc: 0.129]\n",
      "4143 [D loss: (0.609)(R 0.649, F 0.569)] [D acc: (0.652)(0.566, 0.738)] [G loss: 1.165] [G acc: 0.160]\n",
      "4144 [D loss: (0.553)(R 0.586, F 0.519)] [D acc: (0.713)(0.621, 0.805)] [G loss: 1.190] [G acc: 0.133]\n",
      "4145 [D loss: (0.581)(R 0.575, F 0.587)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.279] [G acc: 0.121]\n",
      "4146 [D loss: (0.525)(R 0.536, F 0.514)] [D acc: (0.723)(0.652, 0.793)] [G loss: 1.265] [G acc: 0.117]\n",
      "4147 [D loss: (0.616)(R 0.603, F 0.628)] [D acc: (0.654)(0.594, 0.715)] [G loss: 1.162] [G acc: 0.125]\n",
      "4148 [D loss: (0.585)(R 0.582, F 0.587)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.255] [G acc: 0.129]\n",
      "4149 [D loss: (0.563)(R 0.563, F 0.563)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.201] [G acc: 0.117]\n",
      "4150 [D loss: (0.617)(R 0.645, F 0.589)] [D acc: (0.648)(0.566, 0.730)] [G loss: 1.200] [G acc: 0.137]\n",
      "4151 [D loss: (0.587)(R 0.614, F 0.560)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.155] [G acc: 0.117]\n",
      "4152 [D loss: (0.610)(R 0.631, F 0.590)] [D acc: (0.648)(0.562, 0.734)] [G loss: 1.141] [G acc: 0.152]\n",
      "4153 [D loss: (0.606)(R 0.597, F 0.616)] [D acc: (0.660)(0.605, 0.715)] [G loss: 1.179] [G acc: 0.156]\n",
      "4154 [D loss: (0.584)(R 0.622, F 0.546)] [D acc: (0.676)(0.562, 0.789)] [G loss: 1.176] [G acc: 0.105]\n",
      "4155 [D loss: (0.586)(R 0.592, F 0.581)] [D acc: (0.721)(0.625, 0.816)] [G loss: 1.111] [G acc: 0.148]\n",
      "4156 [D loss: (0.590)(R 0.626, F 0.554)] [D acc: (0.656)(0.578, 0.734)] [G loss: 1.159] [G acc: 0.125]\n",
      "4157 [D loss: (0.576)(R 0.561, F 0.591)] [D acc: (0.701)(0.652, 0.750)] [G loss: 1.151] [G acc: 0.156]\n",
      "4158 [D loss: (0.559)(R 0.577, F 0.542)] [D acc: (0.709)(0.637, 0.781)] [G loss: 1.204] [G acc: 0.156]\n",
      "4159 [D loss: (0.563)(R 0.584, F 0.543)] [D acc: (0.715)(0.605, 0.824)] [G loss: 1.198] [G acc: 0.070]\n",
      "4160 [D loss: (0.571)(R 0.568, F 0.574)] [D acc: (0.686)(0.633, 0.738)] [G loss: 1.157] [G acc: 0.105]\n",
      "4161 [D loss: (0.565)(R 0.562, F 0.568)] [D acc: (0.684)(0.625, 0.742)] [G loss: 1.157] [G acc: 0.121]\n",
      "4162 [D loss: (0.605)(R 0.602, F 0.607)] [D acc: (0.676)(0.633, 0.719)] [G loss: 1.132] [G acc: 0.160]\n",
      "4163 [D loss: (0.565)(R 0.565, F 0.565)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.114] [G acc: 0.191]\n",
      "4164 [D loss: (0.556)(R 0.542, F 0.569)] [D acc: (0.734)(0.676, 0.793)] [G loss: 1.176] [G acc: 0.152]\n",
      "4165 [D loss: (0.556)(R 0.569, F 0.543)] [D acc: (0.715)(0.629, 0.801)] [G loss: 1.221] [G acc: 0.152]\n",
      "4166 [D loss: (0.561)(R 0.552, F 0.569)] [D acc: (0.727)(0.672, 0.781)] [G loss: 1.177] [G acc: 0.148]\n",
      "4167 [D loss: (0.567)(R 0.546, F 0.588)] [D acc: (0.713)(0.688, 0.738)] [G loss: 1.242] [G acc: 0.168]\n",
      "4168 [D loss: (0.606)(R 0.641, F 0.571)] [D acc: (0.668)(0.570, 0.766)] [G loss: 1.203] [G acc: 0.109]\n",
      "4169 [D loss: (0.579)(R 0.550, F 0.607)] [D acc: (0.713)(0.680, 0.746)] [G loss: 1.146] [G acc: 0.145]\n",
      "4170 [D loss: (0.558)(R 0.581, F 0.535)] [D acc: (0.734)(0.672, 0.797)] [G loss: 1.149] [G acc: 0.191]\n",
      "4171 [D loss: (0.592)(R 0.598, F 0.586)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.205] [G acc: 0.137]\n",
      "4172 [D loss: (0.598)(R 0.579, F 0.617)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.175] [G acc: 0.152]\n",
      "4173 [D loss: (0.588)(R 0.635, F 0.541)] [D acc: (0.684)(0.578, 0.789)] [G loss: 1.319] [G acc: 0.098]\n",
      "4174 [D loss: (0.554)(R 0.535, F 0.572)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.286] [G acc: 0.098]\n",
      "4175 [D loss: (0.552)(R 0.572, F 0.533)] [D acc: (0.729)(0.648, 0.809)] [G loss: 1.308] [G acc: 0.094]\n",
      "4176 [D loss: (0.565)(R 0.561, F 0.569)] [D acc: (0.736)(0.684, 0.789)] [G loss: 1.180] [G acc: 0.145]\n",
      "4177 [D loss: (0.625)(R 0.623, F 0.626)] [D acc: (0.656)(0.621, 0.691)] [G loss: 1.158] [G acc: 0.199]\n",
      "4178 [D loss: (0.589)(R 0.648, F 0.530)] [D acc: (0.672)(0.547, 0.797)] [G loss: 1.223] [G acc: 0.148]\n",
      "4179 [D loss: (0.557)(R 0.543, F 0.571)] [D acc: (0.717)(0.672, 0.762)] [G loss: 1.214] [G acc: 0.160]\n",
      "4180 [D loss: (0.571)(R 0.556, F 0.585)] [D acc: (0.699)(0.664, 0.734)] [G loss: 1.207] [G acc: 0.129]\n",
      "4181 [D loss: (0.566)(R 0.598, F 0.535)] [D acc: (0.701)(0.598, 0.805)] [G loss: 1.224] [G acc: 0.133]\n",
      "4182 [D loss: (0.590)(R 0.596, F 0.583)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.233] [G acc: 0.160]\n",
      "4183 [D loss: (0.554)(R 0.561, F 0.547)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.181] [G acc: 0.137]\n",
      "4184 [D loss: (0.564)(R 0.574, F 0.554)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.272] [G acc: 0.129]\n",
      "4185 [D loss: (0.581)(R 0.618, F 0.545)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.312] [G acc: 0.082]\n",
      "4186 [D loss: (0.652)(R 0.653, F 0.652)] [D acc: (0.627)(0.551, 0.703)] [G loss: 1.315] [G acc: 0.133]\n",
      "4187 [D loss: (0.598)(R 0.631, F 0.565)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.129] [G acc: 0.152]\n",
      "4188 [D loss: (0.593)(R 0.542, F 0.644)] [D acc: (0.680)(0.672, 0.688)] [G loss: 1.157] [G acc: 0.137]\n",
      "4189 [D loss: (0.604)(R 0.628, F 0.581)] [D acc: (0.664)(0.566, 0.762)] [G loss: 1.120] [G acc: 0.203]\n",
      "4190 [D loss: (0.597)(R 0.616, F 0.577)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.094] [G acc: 0.219]\n",
      "4191 [D loss: (0.594)(R 0.585, F 0.603)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.174] [G acc: 0.102]\n",
      "4192 [D loss: (0.552)(R 0.546, F 0.559)] [D acc: (0.730)(0.680, 0.781)] [G loss: 1.264] [G acc: 0.133]\n",
      "4193 [D loss: (0.582)(R 0.621, F 0.542)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.183] [G acc: 0.176]\n",
      "4194 [D loss: (0.560)(R 0.562, F 0.558)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.168] [G acc: 0.215]\n",
      "4195 [D loss: (0.580)(R 0.571, F 0.590)] [D acc: (0.707)(0.660, 0.754)] [G loss: 1.163] [G acc: 0.184]\n",
      "4196 [D loss: (0.543)(R 0.549, F 0.537)] [D acc: (0.719)(0.676, 0.762)] [G loss: 1.152] [G acc: 0.172]\n",
      "4197 [D loss: (0.602)(R 0.634, F 0.569)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.278] [G acc: 0.137]\n",
      "4198 [D loss: (0.543)(R 0.551, F 0.534)] [D acc: (0.730)(0.680, 0.781)] [G loss: 1.218] [G acc: 0.133]\n",
      "4199 [D loss: (0.592)(R 0.553, F 0.632)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.191] [G acc: 0.148]\n",
      "4200 [D loss: (0.588)(R 0.563, F 0.613)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.250] [G acc: 0.129]\n",
      "4201 [D loss: (0.599)(R 0.634, F 0.563)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.146] [G acc: 0.199]\n",
      "4202 [D loss: (0.568)(R 0.572, F 0.565)] [D acc: (0.725)(0.680, 0.770)] [G loss: 1.165] [G acc: 0.145]\n",
      "4203 [D loss: (0.579)(R 0.589, F 0.569)] [D acc: (0.703)(0.648, 0.758)] [G loss: 1.184] [G acc: 0.133]\n",
      "4204 [D loss: (0.559)(R 0.554, F 0.563)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.215] [G acc: 0.102]\n",
      "4205 [D loss: (0.560)(R 0.555, F 0.565)] [D acc: (0.713)(0.664, 0.762)] [G loss: 1.179] [G acc: 0.141]\n",
      "4206 [D loss: (0.581)(R 0.601, F 0.561)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.271] [G acc: 0.102]\n",
      "4207 [D loss: (0.660)(R 0.690, F 0.629)] [D acc: (0.621)(0.531, 0.711)] [G loss: 1.112] [G acc: 0.184]\n",
      "4208 [D loss: (0.571)(R 0.525, F 0.618)] [D acc: (0.707)(0.691, 0.723)] [G loss: 1.099] [G acc: 0.176]\n",
      "4209 [D loss: (0.575)(R 0.578, F 0.572)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.088] [G acc: 0.168]\n",
      "4210 [D loss: (0.580)(R 0.594, F 0.567)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.110] [G acc: 0.156]\n",
      "4211 [D loss: (0.584)(R 0.598, F 0.570)] [D acc: (0.711)(0.633, 0.789)] [G loss: 1.232] [G acc: 0.137]\n",
      "4212 [D loss: (0.548)(R 0.564, F 0.532)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.265] [G acc: 0.121]\n",
      "4213 [D loss: (0.545)(R 0.533, F 0.558)] [D acc: (0.721)(0.668, 0.773)] [G loss: 1.182] [G acc: 0.148]\n",
      "4214 [D loss: (0.594)(R 0.574, F 0.615)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.228] [G acc: 0.113]\n",
      "4215 [D loss: (0.582)(R 0.604, F 0.559)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.216] [G acc: 0.164]\n",
      "4216 [D loss: (0.607)(R 0.571, F 0.643)] [D acc: (0.664)(0.629, 0.699)] [G loss: 1.189] [G acc: 0.133]\n",
      "4217 [D loss: (0.591)(R 0.597, F 0.584)] [D acc: (0.711)(0.656, 0.766)] [G loss: 1.156] [G acc: 0.137]\n",
      "4218 [D loss: (0.581)(R 0.588, F 0.574)] [D acc: (0.711)(0.668, 0.754)] [G loss: 1.176] [G acc: 0.160]\n",
      "4219 [D loss: (0.551)(R 0.573, F 0.529)] [D acc: (0.725)(0.664, 0.785)] [G loss: 1.197] [G acc: 0.133]\n",
      "4220 [D loss: (0.616)(R 0.643, F 0.588)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.112] [G acc: 0.156]\n",
      "4221 [D loss: (0.623)(R 0.534, F 0.711)] [D acc: (0.701)(0.703, 0.699)] [G loss: 1.219] [G acc: 0.105]\n",
      "4222 [D loss: (0.613)(R 0.664, F 0.562)] [D acc: (0.676)(0.578, 0.773)] [G loss: 1.171] [G acc: 0.145]\n",
      "4223 [D loss: (0.584)(R 0.604, F 0.563)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.138] [G acc: 0.117]\n",
      "4224 [D loss: (0.592)(R 0.605, F 0.579)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.120] [G acc: 0.145]\n",
      "4225 [D loss: (0.566)(R 0.600, F 0.532)] [D acc: (0.693)(0.586, 0.801)] [G loss: 1.153] [G acc: 0.129]\n",
      "4226 [D loss: (0.611)(R 0.654, F 0.568)] [D acc: (0.672)(0.570, 0.773)] [G loss: 1.135] [G acc: 0.141]\n",
      "4227 [D loss: (0.583)(R 0.615, F 0.551)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.138] [G acc: 0.121]\n",
      "4228 [D loss: (0.560)(R 0.554, F 0.566)] [D acc: (0.707)(0.641, 0.773)] [G loss: 1.251] [G acc: 0.113]\n",
      "4229 [D loss: (0.577)(R 0.548, F 0.607)] [D acc: (0.707)(0.656, 0.758)] [G loss: 1.189] [G acc: 0.160]\n",
      "4230 [D loss: (0.573)(R 0.607, F 0.540)] [D acc: (0.697)(0.609, 0.785)] [G loss: 1.225] [G acc: 0.105]\n",
      "4231 [D loss: (0.540)(R 0.548, F 0.532)] [D acc: (0.730)(0.664, 0.797)] [G loss: 1.229] [G acc: 0.117]\n",
      "4232 [D loss: (0.554)(R 0.587, F 0.522)] [D acc: (0.703)(0.609, 0.797)] [G loss: 1.163] [G acc: 0.168]\n",
      "4233 [D loss: (0.570)(R 0.597, F 0.544)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.199] [G acc: 0.164]\n",
      "4234 [D loss: (0.580)(R 0.582, F 0.578)] [D acc: (0.713)(0.609, 0.816)] [G loss: 1.286] [G acc: 0.117]\n",
      "4235 [D loss: (0.584)(R 0.579, F 0.589)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.267] [G acc: 0.125]\n",
      "4236 [D loss: (0.586)(R 0.608, F 0.565)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.135] [G acc: 0.141]\n",
      "4237 [D loss: (0.547)(R 0.508, F 0.586)] [D acc: (0.721)(0.707, 0.734)] [G loss: 1.179] [G acc: 0.176]\n",
      "4238 [D loss: (0.562)(R 0.607, F 0.517)] [D acc: (0.727)(0.656, 0.797)] [G loss: 1.266] [G acc: 0.129]\n",
      "4239 [D loss: (0.590)(R 0.576, F 0.603)] [D acc: (0.680)(0.613, 0.746)] [G loss: 1.272] [G acc: 0.148]\n",
      "4240 [D loss: (0.533)(R 0.555, F 0.511)] [D acc: (0.727)(0.629, 0.824)] [G loss: 1.336] [G acc: 0.090]\n",
      "4241 [D loss: (0.601)(R 0.576, F 0.626)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.223] [G acc: 0.098]\n",
      "4242 [D loss: (0.542)(R 0.561, F 0.523)] [D acc: (0.734)(0.668, 0.801)] [G loss: 1.187] [G acc: 0.172]\n",
      "4243 [D loss: (0.615)(R 0.595, F 0.634)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.102] [G acc: 0.168]\n",
      "4244 [D loss: (0.590)(R 0.594, F 0.586)] [D acc: (0.684)(0.617, 0.750)] [G loss: 1.149] [G acc: 0.195]\n",
      "4245 [D loss: (0.575)(R 0.581, F 0.569)] [D acc: (0.686)(0.609, 0.762)] [G loss: 1.190] [G acc: 0.137]\n",
      "4246 [D loss: (0.606)(R 0.614, F 0.598)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.243] [G acc: 0.109]\n",
      "4247 [D loss: (0.587)(R 0.586, F 0.589)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.109] [G acc: 0.191]\n",
      "4248 [D loss: (0.581)(R 0.590, F 0.572)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.160] [G acc: 0.133]\n",
      "4249 [D loss: (0.597)(R 0.623, F 0.572)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.203] [G acc: 0.133]\n",
      "4250 [D loss: (0.603)(R 0.606, F 0.600)] [D acc: (0.664)(0.602, 0.727)] [G loss: 1.171] [G acc: 0.160]\n",
      "4251 [D loss: (0.562)(R 0.586, F 0.539)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.255] [G acc: 0.102]\n",
      "4252 [D loss: (0.625)(R 0.578, F 0.673)] [D acc: (0.662)(0.633, 0.691)] [G loss: 1.212] [G acc: 0.141]\n",
      "4253 [D loss: (0.534)(R 0.545, F 0.524)] [D acc: (0.723)(0.664, 0.781)] [G loss: 1.216] [G acc: 0.117]\n",
      "4254 [D loss: (0.598)(R 0.579, F 0.617)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.140] [G acc: 0.152]\n",
      "4255 [D loss: (0.573)(R 0.571, F 0.576)] [D acc: (0.703)(0.660, 0.746)] [G loss: 1.178] [G acc: 0.145]\n",
      "4256 [D loss: (0.537)(R 0.540, F 0.533)] [D acc: (0.721)(0.645, 0.797)] [G loss: 1.164] [G acc: 0.164]\n",
      "4257 [D loss: (0.591)(R 0.550, F 0.633)] [D acc: (0.703)(0.680, 0.727)] [G loss: 1.224] [G acc: 0.117]\n",
      "4258 [D loss: (0.580)(R 0.638, F 0.521)] [D acc: (0.695)(0.578, 0.812)] [G loss: 1.275] [G acc: 0.105]\n",
      "4259 [D loss: (0.561)(R 0.534, F 0.587)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.170] [G acc: 0.137]\n",
      "4260 [D loss: (0.572)(R 0.534, F 0.610)] [D acc: (0.680)(0.648, 0.711)] [G loss: 1.165] [G acc: 0.168]\n",
      "4261 [D loss: (0.575)(R 0.550, F 0.601)] [D acc: (0.691)(0.680, 0.703)] [G loss: 1.166] [G acc: 0.160]\n",
      "4262 [D loss: (0.565)(R 0.592, F 0.538)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.147] [G acc: 0.172]\n",
      "4263 [D loss: (0.557)(R 0.549, F 0.564)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.236] [G acc: 0.098]\n",
      "4264 [D loss: (0.591)(R 0.532, F 0.650)] [D acc: (0.666)(0.668, 0.664)] [G loss: 1.173] [G acc: 0.152]\n",
      "4265 [D loss: (0.528)(R 0.583, F 0.474)] [D acc: (0.719)(0.609, 0.828)] [G loss: 1.274] [G acc: 0.125]\n",
      "4266 [D loss: (0.558)(R 0.533, F 0.583)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.243] [G acc: 0.148]\n",
      "4267 [D loss: (0.571)(R 0.538, F 0.604)] [D acc: (0.719)(0.676, 0.762)] [G loss: 1.199] [G acc: 0.164]\n",
      "4268 [D loss: (0.567)(R 0.588, F 0.546)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.231] [G acc: 0.121]\n",
      "4269 [D loss: (0.534)(R 0.516, F 0.552)] [D acc: (0.744)(0.699, 0.789)] [G loss: 1.287] [G acc: 0.105]\n",
      "4270 [D loss: (0.587)(R 0.543, F 0.632)] [D acc: (0.699)(0.680, 0.719)] [G loss: 1.323] [G acc: 0.137]\n",
      "4271 [D loss: (0.583)(R 0.598, F 0.568)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.359] [G acc: 0.094]\n",
      "4272 [D loss: (0.590)(R 0.603, F 0.577)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.200] [G acc: 0.125]\n",
      "4273 [D loss: (0.553)(R 0.555, F 0.550)] [D acc: (0.693)(0.645, 0.742)] [G loss: 1.184] [G acc: 0.145]\n",
      "4274 [D loss: (0.604)(R 0.611, F 0.596)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.164] [G acc: 0.172]\n",
      "4275 [D loss: (0.578)(R 0.600, F 0.557)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.178] [G acc: 0.145]\n",
      "4276 [D loss: (0.592)(R 0.611, F 0.572)] [D acc: (0.672)(0.574, 0.770)] [G loss: 1.196] [G acc: 0.141]\n",
      "4277 [D loss: (0.579)(R 0.593, F 0.565)] [D acc: (0.691)(0.590, 0.793)] [G loss: 1.157] [G acc: 0.199]\n",
      "4278 [D loss: (0.565)(R 0.561, F 0.569)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.201] [G acc: 0.145]\n",
      "4279 [D loss: (0.565)(R 0.550, F 0.581)] [D acc: (0.729)(0.676, 0.781)] [G loss: 1.194] [G acc: 0.156]\n",
      "4280 [D loss: (0.566)(R 0.544, F 0.588)] [D acc: (0.697)(0.672, 0.723)] [G loss: 1.179] [G acc: 0.145]\n",
      "4281 [D loss: (0.608)(R 0.589, F 0.628)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.192] [G acc: 0.156]\n",
      "4282 [D loss: (0.586)(R 0.647, F 0.526)] [D acc: (0.666)(0.562, 0.770)] [G loss: 1.215] [G acc: 0.109]\n",
      "4283 [D loss: (0.595)(R 0.588, F 0.603)] [D acc: (0.654)(0.590, 0.719)] [G loss: 1.174] [G acc: 0.133]\n",
      "4284 [D loss: (0.579)(R 0.608, F 0.550)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.216] [G acc: 0.113]\n",
      "4285 [D loss: (0.585)(R 0.583, F 0.588)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.243] [G acc: 0.109]\n",
      "4286 [D loss: (0.652)(R 0.706, F 0.599)] [D acc: (0.639)(0.504, 0.773)] [G loss: 1.251] [G acc: 0.133]\n",
      "4287 [D loss: (0.587)(R 0.567, F 0.607)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.167] [G acc: 0.133]\n",
      "4288 [D loss: (0.562)(R 0.598, F 0.527)] [D acc: (0.709)(0.613, 0.805)] [G loss: 1.188] [G acc: 0.102]\n",
      "4289 [D loss: (0.595)(R 0.620, F 0.570)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.219] [G acc: 0.141]\n",
      "4290 [D loss: (0.546)(R 0.573, F 0.520)] [D acc: (0.727)(0.633, 0.820)] [G loss: 1.235] [G acc: 0.105]\n",
      "4291 [D loss: (0.581)(R 0.570, F 0.592)] [D acc: (0.711)(0.656, 0.766)] [G loss: 1.173] [G acc: 0.156]\n",
      "4292 [D loss: (0.574)(R 0.528, F 0.619)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.193] [G acc: 0.168]\n",
      "4293 [D loss: (0.594)(R 0.596, F 0.591)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.247] [G acc: 0.109]\n",
      "4294 [D loss: (0.609)(R 0.680, F 0.538)] [D acc: (0.680)(0.578, 0.781)] [G loss: 1.174] [G acc: 0.148]\n",
      "4295 [D loss: (0.603)(R 0.628, F 0.578)] [D acc: (0.654)(0.570, 0.738)] [G loss: 1.202] [G acc: 0.148]\n",
      "4296 [D loss: (0.570)(R 0.581, F 0.559)] [D acc: (0.701)(0.625, 0.777)] [G loss: 1.214] [G acc: 0.121]\n",
      "4297 [D loss: (0.579)(R 0.561, F 0.597)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.158] [G acc: 0.129]\n",
      "4298 [D loss: (0.590)(R 0.582, F 0.597)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.207] [G acc: 0.145]\n",
      "4299 [D loss: (0.624)(R 0.646, F 0.602)] [D acc: (0.670)(0.566, 0.773)] [G loss: 1.276] [G acc: 0.121]\n",
      "4300 [D loss: (0.532)(R 0.572, F 0.492)] [D acc: (0.740)(0.641, 0.840)] [G loss: 1.269] [G acc: 0.105]\n",
      "4301 [D loss: (0.574)(R 0.582, F 0.565)] [D acc: (0.666)(0.586, 0.746)] [G loss: 1.206] [G acc: 0.152]\n",
      "4302 [D loss: (0.581)(R 0.611, F 0.551)] [D acc: (0.682)(0.574, 0.789)] [G loss: 1.164] [G acc: 0.152]\n",
      "4303 [D loss: (0.587)(R 0.571, F 0.603)] [D acc: (0.668)(0.629, 0.707)] [G loss: 1.129] [G acc: 0.180]\n",
      "4304 [D loss: (0.578)(R 0.612, F 0.544)] [D acc: (0.699)(0.605, 0.793)] [G loss: 1.166] [G acc: 0.156]\n",
      "4305 [D loss: (0.553)(R 0.544, F 0.562)] [D acc: (0.717)(0.676, 0.758)] [G loss: 1.200] [G acc: 0.152]\n",
      "4306 [D loss: (0.579)(R 0.608, F 0.550)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.101] [G acc: 0.203]\n",
      "4307 [D loss: (0.595)(R 0.582, F 0.608)] [D acc: (0.680)(0.613, 0.746)] [G loss: 1.119] [G acc: 0.191]\n",
      "4308 [D loss: (0.603)(R 0.625, F 0.581)] [D acc: (0.650)(0.590, 0.711)] [G loss: 1.163] [G acc: 0.172]\n",
      "4309 [D loss: (0.563)(R 0.593, F 0.534)] [D acc: (0.717)(0.656, 0.777)] [G loss: 1.192] [G acc: 0.164]\n",
      "4310 [D loss: (0.536)(R 0.504, F 0.569)] [D acc: (0.709)(0.672, 0.746)] [G loss: 1.165] [G acc: 0.180]\n",
      "4311 [D loss: (0.579)(R 0.599, F 0.559)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.240] [G acc: 0.109]\n",
      "4312 [D loss: (0.561)(R 0.539, F 0.583)] [D acc: (0.725)(0.695, 0.754)] [G loss: 1.202] [G acc: 0.121]\n",
      "4313 [D loss: (0.607)(R 0.599, F 0.616)] [D acc: (0.688)(0.617, 0.758)] [G loss: 1.145] [G acc: 0.148]\n",
      "4314 [D loss: (0.599)(R 0.647, F 0.551)] [D acc: (0.686)(0.590, 0.781)] [G loss: 1.179] [G acc: 0.137]\n",
      "4315 [D loss: (0.582)(R 0.611, F 0.553)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.334] [G acc: 0.082]\n",
      "4316 [D loss: (0.618)(R 0.662, F 0.574)] [D acc: (0.662)(0.570, 0.754)] [G loss: 1.151] [G acc: 0.133]\n",
      "4317 [D loss: (0.536)(R 0.539, F 0.533)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.179] [G acc: 0.156]\n",
      "4318 [D loss: (0.550)(R 0.528, F 0.573)] [D acc: (0.736)(0.703, 0.770)] [G loss: 1.204] [G acc: 0.160]\n",
      "4319 [D loss: (0.599)(R 0.571, F 0.627)] [D acc: (0.674)(0.652, 0.695)] [G loss: 1.173] [G acc: 0.172]\n",
      "4320 [D loss: (0.578)(R 0.593, F 0.564)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.194] [G acc: 0.137]\n",
      "4321 [D loss: (0.562)(R 0.549, F 0.575)] [D acc: (0.732)(0.695, 0.770)] [G loss: 1.210] [G acc: 0.184]\n",
      "4322 [D loss: (0.591)(R 0.566, F 0.617)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.236] [G acc: 0.145]\n",
      "4323 [D loss: (0.553)(R 0.569, F 0.538)] [D acc: (0.715)(0.672, 0.758)] [G loss: 1.215] [G acc: 0.172]\n",
      "4324 [D loss: (0.601)(R 0.608, F 0.594)] [D acc: (0.672)(0.633, 0.711)] [G loss: 1.216] [G acc: 0.191]\n",
      "4325 [D loss: (0.567)(R 0.646, F 0.488)] [D acc: (0.695)(0.562, 0.828)] [G loss: 1.369] [G acc: 0.074]\n",
      "4326 [D loss: (0.618)(R 0.632, F 0.604)] [D acc: (0.639)(0.570, 0.707)] [G loss: 1.296] [G acc: 0.113]\n",
      "4327 [D loss: (0.575)(R 0.621, F 0.530)] [D acc: (0.705)(0.613, 0.797)] [G loss: 1.213] [G acc: 0.117]\n",
      "4328 [D loss: (0.578)(R 0.571, F 0.584)] [D acc: (0.715)(0.645, 0.785)] [G loss: 1.199] [G acc: 0.156]\n",
      "4329 [D loss: (0.565)(R 0.578, F 0.552)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.138] [G acc: 0.176]\n",
      "4330 [D loss: (0.568)(R 0.553, F 0.583)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.154] [G acc: 0.176]\n",
      "4331 [D loss: (0.566)(R 0.568, F 0.564)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.148] [G acc: 0.164]\n",
      "4332 [D loss: (0.607)(R 0.559, F 0.655)] [D acc: (0.678)(0.637, 0.719)] [G loss: 1.137] [G acc: 0.176]\n",
      "4333 [D loss: (0.602)(R 0.642, F 0.562)] [D acc: (0.670)(0.574, 0.766)] [G loss: 1.182] [G acc: 0.137]\n",
      "4334 [D loss: (0.588)(R 0.598, F 0.578)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.190] [G acc: 0.199]\n",
      "4335 [D loss: (0.590)(R 0.642, F 0.537)] [D acc: (0.680)(0.566, 0.793)] [G loss: 1.197] [G acc: 0.141]\n",
      "4336 [D loss: (0.582)(R 0.620, F 0.544)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.142] [G acc: 0.156]\n",
      "4337 [D loss: (0.585)(R 0.567, F 0.603)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.150] [G acc: 0.180]\n",
      "4338 [D loss: (0.575)(R 0.567, F 0.584)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.140] [G acc: 0.172]\n",
      "4339 [D loss: (0.566)(R 0.554, F 0.579)] [D acc: (0.713)(0.688, 0.738)] [G loss: 1.256] [G acc: 0.133]\n",
      "4340 [D loss: (0.591)(R 0.585, F 0.597)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.220] [G acc: 0.109]\n",
      "4341 [D loss: (0.562)(R 0.633, F 0.492)] [D acc: (0.717)(0.586, 0.848)] [G loss: 1.242] [G acc: 0.133]\n",
      "4342 [D loss: (0.577)(R 0.615, F 0.539)] [D acc: (0.693)(0.629, 0.758)] [G loss: 1.200] [G acc: 0.164]\n",
      "4343 [D loss: (0.563)(R 0.574, F 0.553)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.210] [G acc: 0.125]\n",
      "4344 [D loss: (0.576)(R 0.597, F 0.555)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.289] [G acc: 0.133]\n",
      "4345 [D loss: (0.583)(R 0.582, F 0.583)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.178] [G acc: 0.148]\n",
      "4346 [D loss: (0.570)(R 0.541, F 0.598)] [D acc: (0.697)(0.664, 0.730)] [G loss: 1.181] [G acc: 0.164]\n",
      "4347 [D loss: (0.580)(R 0.613, F 0.548)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.243] [G acc: 0.109]\n",
      "4348 [D loss: (0.530)(R 0.510, F 0.550)] [D acc: (0.705)(0.668, 0.742)] [G loss: 1.144] [G acc: 0.203]\n",
      "4349 [D loss: (0.543)(R 0.527, F 0.560)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.247] [G acc: 0.133]\n",
      "4350 [D loss: (0.607)(R 0.608, F 0.607)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.248] [G acc: 0.105]\n",
      "4351 [D loss: (0.580)(R 0.590, F 0.569)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.239] [G acc: 0.121]\n",
      "4352 [D loss: (0.588)(R 0.573, F 0.604)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.214] [G acc: 0.129]\n",
      "4353 [D loss: (0.597)(R 0.566, F 0.628)] [D acc: (0.684)(0.668, 0.699)] [G loss: 1.218] [G acc: 0.109]\n",
      "4354 [D loss: (0.571)(R 0.627, F 0.514)] [D acc: (0.725)(0.609, 0.840)] [G loss: 1.151] [G acc: 0.160]\n",
      "4355 [D loss: (0.542)(R 0.554, F 0.531)] [D acc: (0.717)(0.656, 0.777)] [G loss: 1.150] [G acc: 0.176]\n",
      "4356 [D loss: (0.538)(R 0.547, F 0.529)] [D acc: (0.729)(0.672, 0.785)] [G loss: 1.260] [G acc: 0.098]\n",
      "4357 [D loss: (0.593)(R 0.607, F 0.580)] [D acc: (0.682)(0.609, 0.754)] [G loss: 1.325] [G acc: 0.125]\n",
      "4358 [D loss: (0.589)(R 0.616, F 0.561)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.350] [G acc: 0.105]\n",
      "4359 [D loss: (0.569)(R 0.561, F 0.577)] [D acc: (0.703)(0.660, 0.746)] [G loss: 1.245] [G acc: 0.152]\n",
      "4360 [D loss: (0.596)(R 0.609, F 0.582)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.150] [G acc: 0.160]\n",
      "4361 [D loss: (0.568)(R 0.587, F 0.550)] [D acc: (0.717)(0.641, 0.793)] [G loss: 1.142] [G acc: 0.152]\n",
      "4362 [D loss: (0.591)(R 0.520, F 0.662)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.258] [G acc: 0.094]\n",
      "4363 [D loss: (0.654)(R 0.716, F 0.591)] [D acc: (0.637)(0.531, 0.742)] [G loss: 1.198] [G acc: 0.145]\n",
      "4364 [D loss: (0.563)(R 0.561, F 0.566)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.137] [G acc: 0.133]\n",
      "4365 [D loss: (0.616)(R 0.628, F 0.603)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.149] [G acc: 0.164]\n",
      "4366 [D loss: (0.608)(R 0.623, F 0.594)] [D acc: (0.664)(0.609, 0.719)] [G loss: 1.179] [G acc: 0.129]\n",
      "4367 [D loss: (0.608)(R 0.623, F 0.593)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.102] [G acc: 0.180]\n",
      "4368 [D loss: (0.579)(R 0.602, F 0.555)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.160] [G acc: 0.141]\n",
      "4369 [D loss: (0.611)(R 0.547, F 0.676)] [D acc: (0.666)(0.652, 0.680)] [G loss: 1.106] [G acc: 0.188]\n",
      "4370 [D loss: (0.581)(R 0.604, F 0.558)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.158] [G acc: 0.105]\n",
      "4371 [D loss: (0.584)(R 0.617, F 0.551)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.138] [G acc: 0.184]\n",
      "4372 [D loss: (0.574)(R 0.613, F 0.536)] [D acc: (0.699)(0.609, 0.789)] [G loss: 1.156] [G acc: 0.148]\n",
      "4373 [D loss: (0.582)(R 0.572, F 0.592)] [D acc: (0.668)(0.613, 0.723)] [G loss: 1.201] [G acc: 0.113]\n",
      "4374 [D loss: (0.590)(R 0.616, F 0.565)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.158] [G acc: 0.137]\n",
      "4375 [D loss: (0.518)(R 0.508, F 0.528)] [D acc: (0.736)(0.703, 0.770)] [G loss: 1.191] [G acc: 0.164]\n",
      "4376 [D loss: (0.549)(R 0.506, F 0.592)] [D acc: (0.721)(0.695, 0.746)] [G loss: 1.307] [G acc: 0.113]\n",
      "4377 [D loss: (0.663)(R 0.710, F 0.617)] [D acc: (0.637)(0.527, 0.746)] [G loss: 1.214] [G acc: 0.156]\n",
      "4378 [D loss: (0.560)(R 0.615, F 0.506)] [D acc: (0.713)(0.598, 0.828)] [G loss: 1.215] [G acc: 0.113]\n",
      "4379 [D loss: (0.567)(R 0.542, F 0.592)] [D acc: (0.713)(0.664, 0.762)] [G loss: 1.102] [G acc: 0.227]\n",
      "4380 [D loss: (0.569)(R 0.576, F 0.562)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.180] [G acc: 0.117]\n",
      "4381 [D loss: (0.578)(R 0.584, F 0.573)] [D acc: (0.693)(0.617, 0.770)] [G loss: 1.140] [G acc: 0.141]\n",
      "4382 [D loss: (0.608)(R 0.607, F 0.609)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.098] [G acc: 0.180]\n",
      "4383 [D loss: (0.560)(R 0.560, F 0.560)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.096] [G acc: 0.168]\n",
      "4384 [D loss: (0.556)(R 0.545, F 0.566)] [D acc: (0.723)(0.680, 0.766)] [G loss: 1.115] [G acc: 0.188]\n",
      "4385 [D loss: (0.566)(R 0.578, F 0.555)] [D acc: (0.719)(0.633, 0.805)] [G loss: 1.260] [G acc: 0.102]\n",
      "4386 [D loss: (0.613)(R 0.576, F 0.651)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.207] [G acc: 0.164]\n",
      "4387 [D loss: (0.577)(R 0.604, F 0.551)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.120] [G acc: 0.164]\n",
      "4388 [D loss: (0.577)(R 0.578, F 0.576)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.195] [G acc: 0.164]\n",
      "4389 [D loss: (0.558)(R 0.576, F 0.541)] [D acc: (0.713)(0.641, 0.785)] [G loss: 1.245] [G acc: 0.129]\n",
      "4390 [D loss: (0.595)(R 0.566, F 0.625)] [D acc: (0.676)(0.652, 0.699)] [G loss: 1.311] [G acc: 0.121]\n",
      "4391 [D loss: (0.601)(R 0.661, F 0.542)] [D acc: (0.672)(0.566, 0.777)] [G loss: 1.251] [G acc: 0.105]\n",
      "4392 [D loss: (0.574)(R 0.608, F 0.540)] [D acc: (0.693)(0.617, 0.770)] [G loss: 1.223] [G acc: 0.168]\n",
      "4393 [D loss: (0.527)(R 0.515, F 0.539)] [D acc: (0.732)(0.715, 0.750)] [G loss: 1.213] [G acc: 0.102]\n",
      "4394 [D loss: (0.617)(R 0.613, F 0.621)] [D acc: (0.650)(0.590, 0.711)] [G loss: 1.176] [G acc: 0.160]\n",
      "4395 [D loss: (0.623)(R 0.643, F 0.602)] [D acc: (0.658)(0.566, 0.750)] [G loss: 1.123] [G acc: 0.164]\n",
      "4396 [D loss: (0.568)(R 0.552, F 0.584)] [D acc: (0.711)(0.676, 0.746)] [G loss: 1.179] [G acc: 0.125]\n",
      "4397 [D loss: (0.598)(R 0.575, F 0.620)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.198] [G acc: 0.121]\n",
      "4398 [D loss: (0.583)(R 0.626, F 0.541)] [D acc: (0.697)(0.613, 0.781)] [G loss: 1.162] [G acc: 0.137]\n",
      "4399 [D loss: (0.596)(R 0.589, F 0.602)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.109] [G acc: 0.148]\n",
      "4400 [D loss: (0.578)(R 0.598, F 0.558)] [D acc: (0.703)(0.598, 0.809)] [G loss: 1.190] [G acc: 0.109]\n",
      "4401 [D loss: (0.568)(R 0.596, F 0.540)] [D acc: (0.713)(0.633, 0.793)] [G loss: 1.211] [G acc: 0.121]\n",
      "4402 [D loss: (0.564)(R 0.593, F 0.534)] [D acc: (0.699)(0.602, 0.797)] [G loss: 1.199] [G acc: 0.129]\n",
      "4403 [D loss: (0.656)(R 0.678, F 0.634)] [D acc: (0.639)(0.523, 0.754)] [G loss: 1.284] [G acc: 0.105]\n",
      "4404 [D loss: (0.574)(R 0.641, F 0.506)] [D acc: (0.699)(0.586, 0.812)] [G loss: 1.234] [G acc: 0.113]\n",
      "4405 [D loss: (0.601)(R 0.562, F 0.639)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.087] [G acc: 0.180]\n",
      "4406 [D loss: (0.575)(R 0.576, F 0.574)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.184] [G acc: 0.125]\n",
      "4407 [D loss: (0.574)(R 0.566, F 0.583)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.142] [G acc: 0.168]\n",
      "4408 [D loss: (0.570)(R 0.583, F 0.557)] [D acc: (0.691)(0.617, 0.766)] [G loss: 1.212] [G acc: 0.148]\n",
      "4409 [D loss: (0.596)(R 0.603, F 0.589)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.179] [G acc: 0.156]\n",
      "4410 [D loss: (0.568)(R 0.559, F 0.578)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.201] [G acc: 0.129]\n",
      "4411 [D loss: (0.602)(R 0.583, F 0.622)] [D acc: (0.658)(0.613, 0.703)] [G loss: 1.138] [G acc: 0.145]\n",
      "4412 [D loss: (0.579)(R 0.633, F 0.525)] [D acc: (0.670)(0.566, 0.773)] [G loss: 1.187] [G acc: 0.141]\n",
      "4413 [D loss: (0.599)(R 0.608, F 0.589)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.114] [G acc: 0.180]\n",
      "4414 [D loss: (0.566)(R 0.563, F 0.569)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.199] [G acc: 0.133]\n",
      "4415 [D loss: (0.578)(R 0.591, F 0.566)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.179] [G acc: 0.125]\n",
      "4416 [D loss: (0.581)(R 0.591, F 0.570)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.148] [G acc: 0.203]\n",
      "4417 [D loss: (0.548)(R 0.580, F 0.515)] [D acc: (0.725)(0.648, 0.801)] [G loss: 1.249] [G acc: 0.102]\n",
      "4418 [D loss: (0.572)(R 0.556, F 0.588)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.186] [G acc: 0.156]\n",
      "4419 [D loss: (0.566)(R 0.582, F 0.551)] [D acc: (0.701)(0.625, 0.777)] [G loss: 1.196] [G acc: 0.164]\n",
      "4420 [D loss: (0.588)(R 0.588, F 0.588)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.221] [G acc: 0.152]\n",
      "4421 [D loss: (0.535)(R 0.571, F 0.499)] [D acc: (0.715)(0.621, 0.809)] [G loss: 1.256] [G acc: 0.137]\n",
      "4422 [D loss: (0.557)(R 0.594, F 0.519)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.160] [G acc: 0.203]\n",
      "4423 [D loss: (0.585)(R 0.596, F 0.574)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.121] [G acc: 0.188]\n",
      "4424 [D loss: (0.607)(R 0.575, F 0.638)] [D acc: (0.684)(0.664, 0.703)] [G loss: 1.183] [G acc: 0.145]\n",
      "4425 [D loss: (0.592)(R 0.588, F 0.595)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.138] [G acc: 0.184]\n",
      "4426 [D loss: (0.562)(R 0.596, F 0.528)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.135] [G acc: 0.172]\n",
      "4427 [D loss: (0.577)(R 0.542, F 0.611)] [D acc: (0.701)(0.680, 0.723)] [G loss: 1.228] [G acc: 0.176]\n",
      "4428 [D loss: (0.592)(R 0.618, F 0.567)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.242] [G acc: 0.105]\n",
      "4429 [D loss: (0.608)(R 0.614, F 0.602)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.161] [G acc: 0.199]\n",
      "4430 [D loss: (0.551)(R 0.558, F 0.545)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.185] [G acc: 0.180]\n",
      "4431 [D loss: (0.619)(R 0.635, F 0.604)] [D acc: (0.641)(0.605, 0.676)] [G loss: 1.140] [G acc: 0.195]\n",
      "4432 [D loss: (0.580)(R 0.594, F 0.567)] [D acc: (0.697)(0.613, 0.781)] [G loss: 1.210] [G acc: 0.176]\n",
      "4433 [D loss: (0.627)(R 0.606, F 0.648)] [D acc: (0.648)(0.613, 0.684)] [G loss: 1.183] [G acc: 0.156]\n",
      "4434 [D loss: (0.589)(R 0.564, F 0.614)] [D acc: (0.686)(0.637, 0.734)] [G loss: 1.157] [G acc: 0.125]\n",
      "4435 [D loss: (0.612)(R 0.603, F 0.620)] [D acc: (0.660)(0.613, 0.707)] [G loss: 1.131] [G acc: 0.145]\n",
      "4436 [D loss: (0.567)(R 0.563, F 0.572)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.136] [G acc: 0.164]\n",
      "4437 [D loss: (0.574)(R 0.595, F 0.553)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.168] [G acc: 0.141]\n",
      "4438 [D loss: (0.604)(R 0.602, F 0.606)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.129] [G acc: 0.113]\n",
      "4439 [D loss: (0.554)(R 0.590, F 0.519)] [D acc: (0.699)(0.598, 0.801)] [G loss: 1.243] [G acc: 0.109]\n",
      "4440 [D loss: (0.562)(R 0.571, F 0.553)] [D acc: (0.732)(0.652, 0.812)] [G loss: 1.165] [G acc: 0.148]\n",
      "4441 [D loss: (0.589)(R 0.618, F 0.560)] [D acc: (0.682)(0.582, 0.781)] [G loss: 1.111] [G acc: 0.164]\n",
      "4442 [D loss: (0.584)(R 0.548, F 0.620)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.103] [G acc: 0.211]\n",
      "4443 [D loss: (0.564)(R 0.556, F 0.572)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.217] [G acc: 0.102]\n",
      "4444 [D loss: (0.575)(R 0.550, F 0.601)] [D acc: (0.703)(0.672, 0.734)] [G loss: 1.190] [G acc: 0.160]\n",
      "4445 [D loss: (0.607)(R 0.551, F 0.664)] [D acc: (0.682)(0.691, 0.672)] [G loss: 1.151] [G acc: 0.141]\n",
      "4446 [D loss: (0.634)(R 0.638, F 0.631)] [D acc: (0.656)(0.609, 0.703)] [G loss: 1.203] [G acc: 0.125]\n",
      "4447 [D loss: (0.605)(R 0.575, F 0.635)] [D acc: (0.666)(0.629, 0.703)] [G loss: 1.171] [G acc: 0.117]\n",
      "4448 [D loss: (0.557)(R 0.585, F 0.530)] [D acc: (0.711)(0.629, 0.793)] [G loss: 1.217] [G acc: 0.109]\n",
      "4449 [D loss: (0.575)(R 0.607, F 0.544)] [D acc: (0.695)(0.594, 0.797)] [G loss: 1.225] [G acc: 0.125]\n",
      "4450 [D loss: (0.576)(R 0.563, F 0.590)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.214] [G acc: 0.145]\n",
      "4451 [D loss: (0.582)(R 0.556, F 0.608)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.193] [G acc: 0.137]\n",
      "4452 [D loss: (0.606)(R 0.639, F 0.572)] [D acc: (0.662)(0.559, 0.766)] [G loss: 1.128] [G acc: 0.129]\n",
      "4453 [D loss: (0.551)(R 0.564, F 0.538)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.214] [G acc: 0.129]\n",
      "4454 [D loss: (0.604)(R 0.598, F 0.611)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.303] [G acc: 0.125]\n",
      "4455 [D loss: (0.564)(R 0.619, F 0.508)] [D acc: (0.729)(0.656, 0.801)] [G loss: 1.314] [G acc: 0.070]\n",
      "4456 [D loss: (0.610)(R 0.639, F 0.581)] [D acc: (0.648)(0.578, 0.719)] [G loss: 1.187] [G acc: 0.109]\n",
      "4457 [D loss: (0.599)(R 0.619, F 0.578)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.100] [G acc: 0.195]\n",
      "4458 [D loss: (0.531)(R 0.515, F 0.548)] [D acc: (0.734)(0.707, 0.762)] [G loss: 1.194] [G acc: 0.141]\n",
      "4459 [D loss: (0.590)(R 0.559, F 0.620)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.148] [G acc: 0.172]\n",
      "4460 [D loss: (0.534)(R 0.514, F 0.555)] [D acc: (0.711)(0.664, 0.758)] [G loss: 1.199] [G acc: 0.176]\n",
      "4461 [D loss: (0.603)(R 0.593, F 0.612)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.195] [G acc: 0.148]\n",
      "4462 [D loss: (0.561)(R 0.580, F 0.543)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.185] [G acc: 0.152]\n",
      "4463 [D loss: (0.583)(R 0.570, F 0.596)] [D acc: (0.678)(0.648, 0.707)] [G loss: 1.192] [G acc: 0.145]\n",
      "4464 [D loss: (0.554)(R 0.545, F 0.562)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.179] [G acc: 0.152]\n",
      "4465 [D loss: (0.606)(R 0.634, F 0.577)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.139] [G acc: 0.152]\n",
      "4466 [D loss: (0.565)(R 0.561, F 0.568)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.127] [G acc: 0.164]\n",
      "4467 [D loss: (0.582)(R 0.607, F 0.557)] [D acc: (0.658)(0.570, 0.746)] [G loss: 1.196] [G acc: 0.152]\n",
      "4468 [D loss: (0.594)(R 0.578, F 0.610)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.199] [G acc: 0.141]\n",
      "4469 [D loss: (0.591)(R 0.660, F 0.522)] [D acc: (0.713)(0.582, 0.844)] [G loss: 1.259] [G acc: 0.102]\n",
      "4470 [D loss: (0.602)(R 0.597, F 0.606)] [D acc: (0.664)(0.613, 0.715)] [G loss: 1.216] [G acc: 0.141]\n",
      "4471 [D loss: (0.573)(R 0.602, F 0.544)] [D acc: (0.695)(0.590, 0.801)] [G loss: 1.200] [G acc: 0.160]\n",
      "4472 [D loss: (0.602)(R 0.617, F 0.588)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.229] [G acc: 0.129]\n",
      "4473 [D loss: (0.583)(R 0.575, F 0.590)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.141] [G acc: 0.176]\n",
      "4474 [D loss: (0.564)(R 0.572, F 0.556)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.249] [G acc: 0.098]\n",
      "4475 [D loss: (0.600)(R 0.638, F 0.562)] [D acc: (0.701)(0.594, 0.809)] [G loss: 1.213] [G acc: 0.152]\n",
      "4476 [D loss: (0.591)(R 0.603, F 0.578)] [D acc: (0.662)(0.574, 0.750)] [G loss: 1.160] [G acc: 0.137]\n",
      "4477 [D loss: (0.623)(R 0.588, F 0.658)] [D acc: (0.639)(0.586, 0.691)] [G loss: 1.093] [G acc: 0.180]\n",
      "4478 [D loss: (0.571)(R 0.605, F 0.537)] [D acc: (0.689)(0.598, 0.781)] [G loss: 1.167] [G acc: 0.148]\n",
      "4479 [D loss: (0.566)(R 0.562, F 0.570)] [D acc: (0.717)(0.652, 0.781)] [G loss: 1.159] [G acc: 0.113]\n",
      "4480 [D loss: (0.582)(R 0.611, F 0.553)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.176] [G acc: 0.137]\n",
      "4481 [D loss: (0.604)(R 0.588, F 0.619)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.222] [G acc: 0.152]\n",
      "4482 [D loss: (0.584)(R 0.563, F 0.605)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.196] [G acc: 0.180]\n",
      "4483 [D loss: (0.558)(R 0.592, F 0.524)] [D acc: (0.729)(0.645, 0.812)] [G loss: 1.258] [G acc: 0.105]\n",
      "4484 [D loss: (0.596)(R 0.576, F 0.616)] [D acc: (0.676)(0.633, 0.719)] [G loss: 1.183] [G acc: 0.156]\n",
      "4485 [D loss: (0.564)(R 0.574, F 0.554)] [D acc: (0.709)(0.652, 0.766)] [G loss: 1.186] [G acc: 0.164]\n",
      "4486 [D loss: (0.595)(R 0.573, F 0.617)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.229] [G acc: 0.176]\n",
      "4487 [D loss: (0.540)(R 0.582, F 0.497)] [D acc: (0.717)(0.637, 0.797)] [G loss: 1.382] [G acc: 0.074]\n",
      "4488 [D loss: (0.571)(R 0.542, F 0.601)] [D acc: (0.709)(0.680, 0.738)] [G loss: 1.257] [G acc: 0.176]\n",
      "4489 [D loss: (0.569)(R 0.584, F 0.554)] [D acc: (0.701)(0.629, 0.773)] [G loss: 1.272] [G acc: 0.164]\n",
      "4490 [D loss: (0.602)(R 0.608, F 0.596)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.306] [G acc: 0.145]\n",
      "4491 [D loss: (0.586)(R 0.608, F 0.564)] [D acc: (0.707)(0.625, 0.789)] [G loss: 1.281] [G acc: 0.062]\n",
      "4492 [D loss: (0.575)(R 0.533, F 0.617)] [D acc: (0.697)(0.672, 0.723)] [G loss: 1.256] [G acc: 0.117]\n",
      "4493 [D loss: (0.604)(R 0.596, F 0.612)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.236] [G acc: 0.129]\n",
      "4494 [D loss: (0.547)(R 0.539, F 0.556)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.219] [G acc: 0.129]\n",
      "4495 [D loss: (0.588)(R 0.609, F 0.568)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.206] [G acc: 0.133]\n",
      "4496 [D loss: (0.585)(R 0.621, F 0.549)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.266] [G acc: 0.133]\n",
      "4497 [D loss: (0.561)(R 0.565, F 0.558)] [D acc: (0.707)(0.641, 0.773)] [G loss: 1.236] [G acc: 0.129]\n",
      "4498 [D loss: (0.605)(R 0.587, F 0.623)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.165] [G acc: 0.141]\n",
      "4499 [D loss: (0.589)(R 0.603, F 0.576)] [D acc: (0.666)(0.566, 0.766)] [G loss: 1.222] [G acc: 0.121]\n",
      "4500 [D loss: (0.551)(R 0.596, F 0.506)] [D acc: (0.715)(0.613, 0.816)] [G loss: 1.173] [G acc: 0.188]\n",
      "4501 [D loss: (0.563)(R 0.563, F 0.564)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.161] [G acc: 0.172]\n",
      "4502 [D loss: (0.618)(R 0.636, F 0.600)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.144] [G acc: 0.152]\n",
      "4503 [D loss: (0.593)(R 0.593, F 0.593)] [D acc: (0.678)(0.621, 0.734)] [G loss: 1.170] [G acc: 0.176]\n",
      "4504 [D loss: (0.567)(R 0.569, F 0.565)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.219] [G acc: 0.129]\n",
      "4505 [D loss: (0.589)(R 0.574, F 0.603)] [D acc: (0.693)(0.641, 0.746)] [G loss: 1.206] [G acc: 0.133]\n",
      "4506 [D loss: (0.592)(R 0.589, F 0.595)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.193] [G acc: 0.164]\n",
      "4507 [D loss: (0.618)(R 0.660, F 0.577)] [D acc: (0.662)(0.578, 0.746)] [G loss: 1.185] [G acc: 0.152]\n",
      "4508 [D loss: (0.595)(R 0.586, F 0.605)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.139] [G acc: 0.129]\n",
      "4509 [D loss: (0.592)(R 0.607, F 0.578)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.113] [G acc: 0.129]\n",
      "4510 [D loss: (0.561)(R 0.557, F 0.565)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.128] [G acc: 0.180]\n",
      "4511 [D loss: (0.592)(R 0.559, F 0.625)] [D acc: (0.699)(0.668, 0.730)] [G loss: 1.189] [G acc: 0.164]\n",
      "4512 [D loss: (0.574)(R 0.625, F 0.524)] [D acc: (0.695)(0.594, 0.797)] [G loss: 1.249] [G acc: 0.121]\n",
      "4513 [D loss: (0.571)(R 0.576, F 0.567)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.273] [G acc: 0.109]\n",
      "4514 [D loss: (0.578)(R 0.606, F 0.550)] [D acc: (0.715)(0.645, 0.785)] [G loss: 1.215] [G acc: 0.129]\n",
      "4515 [D loss: (0.595)(R 0.586, F 0.603)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.175] [G acc: 0.164]\n",
      "4516 [D loss: (0.567)(R 0.581, F 0.553)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.156] [G acc: 0.145]\n",
      "4517 [D loss: (0.542)(R 0.544, F 0.540)] [D acc: (0.730)(0.676, 0.785)] [G loss: 1.113] [G acc: 0.191]\n",
      "4518 [D loss: (0.570)(R 0.529, F 0.612)] [D acc: (0.691)(0.668, 0.715)] [G loss: 1.254] [G acc: 0.164]\n",
      "4519 [D loss: (0.564)(R 0.588, F 0.539)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.334] [G acc: 0.102]\n",
      "4520 [D loss: (0.586)(R 0.553, F 0.619)] [D acc: (0.688)(0.664, 0.711)] [G loss: 1.266] [G acc: 0.141]\n",
      "4521 [D loss: (0.582)(R 0.619, F 0.546)] [D acc: (0.682)(0.574, 0.789)] [G loss: 1.126] [G acc: 0.164]\n",
      "4522 [D loss: (0.605)(R 0.618, F 0.593)] [D acc: (0.684)(0.586, 0.781)] [G loss: 1.187] [G acc: 0.133]\n",
      "4523 [D loss: (0.573)(R 0.631, F 0.514)] [D acc: (0.695)(0.582, 0.809)] [G loss: 1.197] [G acc: 0.145]\n",
      "4524 [D loss: (0.570)(R 0.604, F 0.537)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.271] [G acc: 0.145]\n",
      "4525 [D loss: (0.558)(R 0.591, F 0.526)] [D acc: (0.713)(0.578, 0.848)] [G loss: 1.269] [G acc: 0.098]\n",
      "4526 [D loss: (0.574)(R 0.554, F 0.594)] [D acc: (0.697)(0.672, 0.723)] [G loss: 1.194] [G acc: 0.168]\n",
      "4527 [D loss: (0.581)(R 0.538, F 0.624)] [D acc: (0.709)(0.688, 0.730)] [G loss: 1.224] [G acc: 0.133]\n",
      "4528 [D loss: (0.599)(R 0.586, F 0.612)] [D acc: (0.676)(0.641, 0.711)] [G loss: 1.199] [G acc: 0.156]\n",
      "4529 [D loss: (0.589)(R 0.575, F 0.604)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.200] [G acc: 0.152]\n",
      "4530 [D loss: (0.599)(R 0.642, F 0.555)] [D acc: (0.689)(0.574, 0.805)] [G loss: 1.180] [G acc: 0.141]\n",
      "4531 [D loss: (0.543)(R 0.545, F 0.540)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.258] [G acc: 0.137]\n",
      "4532 [D loss: (0.594)(R 0.581, F 0.607)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.227] [G acc: 0.113]\n",
      "4533 [D loss: (0.606)(R 0.616, F 0.596)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.125] [G acc: 0.156]\n",
      "4534 [D loss: (0.573)(R 0.600, F 0.545)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.172] [G acc: 0.145]\n",
      "4535 [D loss: (0.588)(R 0.578, F 0.598)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.194] [G acc: 0.168]\n",
      "4536 [D loss: (0.575)(R 0.618, F 0.532)] [D acc: (0.691)(0.582, 0.801)] [G loss: 1.224] [G acc: 0.121]\n",
      "4537 [D loss: (0.580)(R 0.545, F 0.615)] [D acc: (0.695)(0.691, 0.699)] [G loss: 1.165] [G acc: 0.148]\n",
      "4538 [D loss: (0.574)(R 0.548, F 0.599)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.194] [G acc: 0.141]\n",
      "4539 [D loss: (0.570)(R 0.582, F 0.558)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.192] [G acc: 0.164]\n",
      "4540 [D loss: (0.591)(R 0.592, F 0.589)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.230] [G acc: 0.117]\n",
      "4541 [D loss: (0.589)(R 0.620, F 0.558)] [D acc: (0.686)(0.578, 0.793)] [G loss: 1.177] [G acc: 0.152]\n",
      "4542 [D loss: (0.558)(R 0.527, F 0.590)] [D acc: (0.713)(0.691, 0.734)] [G loss: 1.174] [G acc: 0.156]\n",
      "4543 [D loss: (0.577)(R 0.598, F 0.556)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.154] [G acc: 0.176]\n",
      "4544 [D loss: (0.593)(R 0.579, F 0.607)] [D acc: (0.666)(0.613, 0.719)] [G loss: 1.126] [G acc: 0.168]\n",
      "4545 [D loss: (0.597)(R 0.564, F 0.629)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.212] [G acc: 0.113]\n",
      "4546 [D loss: (0.542)(R 0.570, F 0.513)] [D acc: (0.729)(0.648, 0.809)] [G loss: 1.224] [G acc: 0.105]\n",
      "4547 [D loss: (0.607)(R 0.553, F 0.660)] [D acc: (0.672)(0.656, 0.688)] [G loss: 1.195] [G acc: 0.148]\n",
      "4548 [D loss: (0.529)(R 0.543, F 0.515)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.157] [G acc: 0.188]\n",
      "4549 [D loss: (0.569)(R 0.559, F 0.579)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.202] [G acc: 0.148]\n",
      "4550 [D loss: (0.570)(R 0.585, F 0.555)] [D acc: (0.699)(0.609, 0.789)] [G loss: 1.215] [G acc: 0.129]\n",
      "4551 [D loss: (0.617)(R 0.582, F 0.652)] [D acc: (0.693)(0.641, 0.746)] [G loss: 1.182] [G acc: 0.207]\n",
      "4552 [D loss: (0.542)(R 0.581, F 0.504)] [D acc: (0.736)(0.645, 0.828)] [G loss: 1.227] [G acc: 0.113]\n",
      "4553 [D loss: (0.536)(R 0.524, F 0.547)] [D acc: (0.729)(0.680, 0.777)] [G loss: 1.221] [G acc: 0.152]\n",
      "4554 [D loss: (0.578)(R 0.606, F 0.550)] [D acc: (0.680)(0.586, 0.773)] [G loss: 1.170] [G acc: 0.145]\n",
      "4555 [D loss: (0.591)(R 0.569, F 0.613)] [D acc: (0.654)(0.605, 0.703)] [G loss: 1.126] [G acc: 0.180]\n",
      "4556 [D loss: (0.595)(R 0.582, F 0.608)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.174] [G acc: 0.160]\n",
      "4557 [D loss: (0.603)(R 0.630, F 0.575)] [D acc: (0.664)(0.562, 0.766)] [G loss: 1.188] [G acc: 0.191]\n",
      "4558 [D loss: (0.571)(R 0.578, F 0.564)] [D acc: (0.703)(0.609, 0.797)] [G loss: 1.173] [G acc: 0.172]\n",
      "4559 [D loss: (0.602)(R 0.605, F 0.600)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.165] [G acc: 0.125]\n",
      "4560 [D loss: (0.579)(R 0.606, F 0.553)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.257] [G acc: 0.105]\n",
      "4561 [D loss: (0.580)(R 0.565, F 0.595)] [D acc: (0.719)(0.668, 0.770)] [G loss: 1.150] [G acc: 0.152]\n",
      "4562 [D loss: (0.590)(R 0.606, F 0.574)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.178] [G acc: 0.164]\n",
      "4563 [D loss: (0.617)(R 0.620, F 0.613)] [D acc: (0.654)(0.590, 0.719)] [G loss: 1.160] [G acc: 0.133]\n",
      "4564 [D loss: (0.614)(R 0.577, F 0.651)] [D acc: (0.668)(0.645, 0.691)] [G loss: 1.163] [G acc: 0.117]\n",
      "4565 [D loss: (0.586)(R 0.592, F 0.579)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.154] [G acc: 0.141]\n",
      "4566 [D loss: (0.575)(R 0.585, F 0.565)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.201] [G acc: 0.148]\n",
      "4567 [D loss: (0.571)(R 0.602, F 0.540)] [D acc: (0.703)(0.621, 0.785)] [G loss: 1.223] [G acc: 0.094]\n",
      "4568 [D loss: (0.598)(R 0.620, F 0.576)] [D acc: (0.658)(0.590, 0.727)] [G loss: 1.176] [G acc: 0.152]\n",
      "4569 [D loss: (0.581)(R 0.557, F 0.604)] [D acc: (0.699)(0.668, 0.730)] [G loss: 1.130] [G acc: 0.168]\n",
      "4570 [D loss: (0.571)(R 0.572, F 0.569)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.156] [G acc: 0.145]\n",
      "4571 [D loss: (0.585)(R 0.590, F 0.579)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.173] [G acc: 0.125]\n",
      "4572 [D loss: (0.594)(R 0.633, F 0.555)] [D acc: (0.666)(0.586, 0.746)] [G loss: 1.194] [G acc: 0.137]\n",
      "4573 [D loss: (0.612)(R 0.618, F 0.606)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.137] [G acc: 0.141]\n",
      "4574 [D loss: (0.535)(R 0.517, F 0.553)] [D acc: (0.744)(0.727, 0.762)] [G loss: 1.174] [G acc: 0.141]\n",
      "4575 [D loss: (0.596)(R 0.611, F 0.581)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.264] [G acc: 0.148]\n",
      "4576 [D loss: (0.527)(R 0.581, F 0.473)] [D acc: (0.738)(0.641, 0.836)] [G loss: 1.411] [G acc: 0.082]\n",
      "4577 [D loss: (0.516)(R 0.501, F 0.531)] [D acc: (0.734)(0.691, 0.777)] [G loss: 1.276] [G acc: 0.113]\n",
      "4578 [D loss: (0.553)(R 0.546, F 0.561)] [D acc: (0.711)(0.676, 0.746)] [G loss: 1.171] [G acc: 0.141]\n",
      "4579 [D loss: (0.564)(R 0.539, F 0.588)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.461] [G acc: 0.102]\n",
      "4580 [D loss: (0.640)(R 0.701, F 0.580)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.152] [G acc: 0.180]\n",
      "4581 [D loss: (0.580)(R 0.570, F 0.590)] [D acc: (0.666)(0.609, 0.723)] [G loss: 1.118] [G acc: 0.195]\n",
      "4582 [D loss: (0.571)(R 0.555, F 0.587)] [D acc: (0.680)(0.645, 0.715)] [G loss: 1.111] [G acc: 0.180]\n",
      "4583 [D loss: (0.610)(R 0.602, F 0.618)] [D acc: (0.658)(0.602, 0.715)] [G loss: 1.162] [G acc: 0.176]\n",
      "4584 [D loss: (0.555)(R 0.558, F 0.553)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.208] [G acc: 0.137]\n",
      "4585 [D loss: (0.604)(R 0.644, F 0.565)] [D acc: (0.688)(0.598, 0.777)] [G loss: 1.122] [G acc: 0.188]\n",
      "4586 [D loss: (0.589)(R 0.556, F 0.623)] [D acc: (0.691)(0.652, 0.730)] [G loss: 1.153] [G acc: 0.145]\n",
      "4587 [D loss: (0.586)(R 0.592, F 0.579)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.136] [G acc: 0.141]\n",
      "4588 [D loss: (0.610)(R 0.604, F 0.617)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.128] [G acc: 0.168]\n",
      "4589 [D loss: (0.595)(R 0.625, F 0.565)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.197] [G acc: 0.125]\n",
      "4590 [D loss: (0.574)(R 0.612, F 0.535)] [D acc: (0.689)(0.598, 0.781)] [G loss: 1.170] [G acc: 0.180]\n",
      "4591 [D loss: (0.567)(R 0.591, F 0.542)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.173] [G acc: 0.121]\n",
      "4592 [D loss: (0.617)(R 0.572, F 0.663)] [D acc: (0.676)(0.664, 0.688)] [G loss: 1.158] [G acc: 0.148]\n",
      "4593 [D loss: (0.591)(R 0.630, F 0.551)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.201] [G acc: 0.125]\n",
      "4594 [D loss: (0.612)(R 0.628, F 0.596)] [D acc: (0.680)(0.590, 0.770)] [G loss: 1.160] [G acc: 0.137]\n",
      "4595 [D loss: (0.594)(R 0.585, F 0.602)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.128] [G acc: 0.148]\n",
      "4596 [D loss: (0.599)(R 0.637, F 0.560)] [D acc: (0.684)(0.578, 0.789)] [G loss: 1.144] [G acc: 0.152]\n",
      "4597 [D loss: (0.580)(R 0.585, F 0.575)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.141] [G acc: 0.172]\n",
      "4598 [D loss: (0.592)(R 0.615, F 0.568)] [D acc: (0.721)(0.660, 0.781)] [G loss: 1.162] [G acc: 0.156]\n",
      "4599 [D loss: (0.617)(R 0.601, F 0.633)] [D acc: (0.670)(0.617, 0.723)] [G loss: 1.227] [G acc: 0.109]\n",
      "4600 [D loss: (0.595)(R 0.622, F 0.568)] [D acc: (0.697)(0.602, 0.793)] [G loss: 1.142] [G acc: 0.148]\n",
      "4601 [D loss: (0.579)(R 0.569, F 0.590)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.144] [G acc: 0.145]\n",
      "4602 [D loss: (0.572)(R 0.600, F 0.545)] [D acc: (0.688)(0.602, 0.773)] [G loss: 1.127] [G acc: 0.148]\n",
      "4603 [D loss: (0.603)(R 0.599, F 0.608)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.148] [G acc: 0.133]\n",
      "4604 [D loss: (0.569)(R 0.610, F 0.528)] [D acc: (0.693)(0.574, 0.812)] [G loss: 1.139] [G acc: 0.141]\n",
      "4605 [D loss: (0.600)(R 0.585, F 0.614)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.171] [G acc: 0.152]\n",
      "4606 [D loss: (0.536)(R 0.562, F 0.511)] [D acc: (0.725)(0.637, 0.812)] [G loss: 1.296] [G acc: 0.098]\n",
      "4607 [D loss: (0.588)(R 0.580, F 0.596)] [D acc: (0.682)(0.613, 0.750)] [G loss: 1.164] [G acc: 0.152]\n",
      "4608 [D loss: (0.564)(R 0.579, F 0.549)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.512] [G acc: 0.066]\n",
      "4609 [D loss: (0.720)(R 0.842, F 0.598)] [D acc: (0.568)(0.445, 0.691)] [G loss: 1.174] [G acc: 0.125]\n",
      "4610 [D loss: (0.596)(R 0.559, F 0.632)] [D acc: (0.672)(0.641, 0.703)] [G loss: 1.147] [G acc: 0.191]\n",
      "4611 [D loss: (0.612)(R 0.601, F 0.624)] [D acc: (0.662)(0.613, 0.711)] [G loss: 1.067] [G acc: 0.207]\n",
      "4612 [D loss: (0.541)(R 0.515, F 0.568)] [D acc: (0.705)(0.688, 0.723)] [G loss: 1.150] [G acc: 0.164]\n",
      "4613 [D loss: (0.583)(R 0.560, F 0.607)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.117] [G acc: 0.191]\n",
      "4614 [D loss: (0.555)(R 0.542, F 0.567)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.117] [G acc: 0.145]\n",
      "4615 [D loss: (0.616)(R 0.601, F 0.632)] [D acc: (0.662)(0.629, 0.695)] [G loss: 1.184] [G acc: 0.148]\n",
      "4616 [D loss: (0.546)(R 0.578, F 0.514)] [D acc: (0.715)(0.617, 0.812)] [G loss: 1.250] [G acc: 0.102]\n",
      "4617 [D loss: (0.585)(R 0.604, F 0.566)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.138] [G acc: 0.191]\n",
      "4618 [D loss: (0.615)(R 0.602, F 0.629)] [D acc: (0.656)(0.586, 0.727)] [G loss: 1.180] [G acc: 0.168]\n",
      "4619 [D loss: (0.604)(R 0.641, F 0.568)] [D acc: (0.654)(0.570, 0.738)] [G loss: 1.116] [G acc: 0.211]\n",
      "4620 [D loss: (0.597)(R 0.607, F 0.586)] [D acc: (0.682)(0.602, 0.762)] [G loss: 1.144] [G acc: 0.137]\n",
      "4621 [D loss: (0.604)(R 0.640, F 0.567)] [D acc: (0.662)(0.570, 0.754)] [G loss: 1.148] [G acc: 0.195]\n",
      "4622 [D loss: (0.581)(R 0.586, F 0.576)] [D acc: (0.703)(0.641, 0.766)] [G loss: 1.203] [G acc: 0.125]\n",
      "4623 [D loss: (0.605)(R 0.585, F 0.625)] [D acc: (0.652)(0.605, 0.699)] [G loss: 1.234] [G acc: 0.121]\n",
      "4624 [D loss: (0.561)(R 0.590, F 0.532)] [D acc: (0.711)(0.633, 0.789)] [G loss: 1.231] [G acc: 0.094]\n",
      "4625 [D loss: (0.586)(R 0.580, F 0.593)] [D acc: (0.686)(0.660, 0.711)] [G loss: 1.150] [G acc: 0.199]\n",
      "4626 [D loss: (0.570)(R 0.572, F 0.567)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.249] [G acc: 0.125]\n",
      "4627 [D loss: (0.565)(R 0.571, F 0.558)] [D acc: (0.723)(0.668, 0.777)] [G loss: 1.180] [G acc: 0.152]\n",
      "4628 [D loss: (0.547)(R 0.536, F 0.558)] [D acc: (0.727)(0.695, 0.758)] [G loss: 1.143] [G acc: 0.180]\n",
      "4629 [D loss: (0.644)(R 0.630, F 0.658)] [D acc: (0.654)(0.629, 0.680)] [G loss: 1.181] [G acc: 0.148]\n",
      "4630 [D loss: (0.583)(R 0.589, F 0.576)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.211] [G acc: 0.125]\n",
      "4631 [D loss: (0.559)(R 0.568, F 0.549)] [D acc: (0.701)(0.629, 0.773)] [G loss: 1.197] [G acc: 0.148]\n",
      "4632 [D loss: (0.614)(R 0.618, F 0.610)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.162] [G acc: 0.160]\n",
      "4633 [D loss: (0.590)(R 0.612, F 0.569)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.235] [G acc: 0.094]\n",
      "4634 [D loss: (0.574)(R 0.589, F 0.559)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.176] [G acc: 0.145]\n",
      "4635 [D loss: (0.570)(R 0.597, F 0.543)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.147] [G acc: 0.168]\n",
      "4636 [D loss: (0.555)(R 0.483, F 0.627)] [D acc: (0.727)(0.695, 0.758)] [G loss: 1.207] [G acc: 0.137]\n",
      "4637 [D loss: (0.579)(R 0.604, F 0.554)] [D acc: (0.691)(0.578, 0.805)] [G loss: 1.234] [G acc: 0.105]\n",
      "4638 [D loss: (0.573)(R 0.587, F 0.560)] [D acc: (0.701)(0.621, 0.781)] [G loss: 1.220] [G acc: 0.125]\n",
      "4639 [D loss: (0.606)(R 0.605, F 0.607)] [D acc: (0.711)(0.672, 0.750)] [G loss: 1.244] [G acc: 0.152]\n",
      "4640 [D loss: (0.592)(R 0.644, F 0.541)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.156] [G acc: 0.125]\n",
      "4641 [D loss: (0.597)(R 0.583, F 0.611)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.175] [G acc: 0.148]\n",
      "4642 [D loss: (0.589)(R 0.641, F 0.536)] [D acc: (0.684)(0.574, 0.793)] [G loss: 1.160] [G acc: 0.156]\n",
      "4643 [D loss: (0.597)(R 0.571, F 0.623)] [D acc: (0.666)(0.641, 0.691)] [G loss: 1.213] [G acc: 0.133]\n",
      "4644 [D loss: (0.601)(R 0.653, F 0.549)] [D acc: (0.662)(0.555, 0.770)] [G loss: 1.189] [G acc: 0.105]\n",
      "4645 [D loss: (0.571)(R 0.576, F 0.566)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.150] [G acc: 0.137]\n",
      "4646 [D loss: (0.588)(R 0.597, F 0.579)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.107] [G acc: 0.195]\n",
      "4647 [D loss: (0.580)(R 0.579, F 0.580)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.150] [G acc: 0.172]\n",
      "4648 [D loss: (0.604)(R 0.628, F 0.580)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.167] [G acc: 0.207]\n",
      "4649 [D loss: (0.612)(R 0.609, F 0.614)] [D acc: (0.670)(0.617, 0.723)] [G loss: 1.160] [G acc: 0.184]\n",
      "4650 [D loss: (0.607)(R 0.585, F 0.629)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.182] [G acc: 0.117]\n",
      "4651 [D loss: (0.577)(R 0.603, F 0.552)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.149] [G acc: 0.133]\n",
      "4652 [D loss: (0.568)(R 0.544, F 0.591)] [D acc: (0.699)(0.664, 0.734)] [G loss: 1.113] [G acc: 0.195]\n",
      "4653 [D loss: (0.578)(R 0.590, F 0.565)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.185] [G acc: 0.160]\n",
      "4654 [D loss: (0.585)(R 0.562, F 0.607)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.122] [G acc: 0.203]\n",
      "4655 [D loss: (0.631)(R 0.619, F 0.644)] [D acc: (0.660)(0.629, 0.691)] [G loss: 1.134] [G acc: 0.160]\n",
      "4656 [D loss: (0.603)(R 0.662, F 0.543)] [D acc: (0.686)(0.582, 0.789)] [G loss: 1.136] [G acc: 0.168]\n",
      "4657 [D loss: (0.585)(R 0.574, F 0.595)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.177] [G acc: 0.137]\n",
      "4658 [D loss: (0.571)(R 0.600, F 0.542)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.210] [G acc: 0.070]\n",
      "4659 [D loss: (0.611)(R 0.543, F 0.680)] [D acc: (0.674)(0.656, 0.691)] [G loss: 1.146] [G acc: 0.148]\n",
      "4660 [D loss: (0.599)(R 0.595, F 0.604)] [D acc: (0.664)(0.602, 0.727)] [G loss: 1.183] [G acc: 0.113]\n",
      "4661 [D loss: (0.604)(R 0.603, F 0.604)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.207] [G acc: 0.121]\n",
      "4662 [D loss: (0.573)(R 0.593, F 0.553)] [D acc: (0.717)(0.605, 0.828)] [G loss: 1.179] [G acc: 0.113]\n",
      "4663 [D loss: (0.617)(R 0.615, F 0.619)] [D acc: (0.660)(0.590, 0.730)] [G loss: 1.136] [G acc: 0.148]\n",
      "4664 [D loss: (0.586)(R 0.567, F 0.606)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.153] [G acc: 0.168]\n",
      "4665 [D loss: (0.594)(R 0.593, F 0.596)] [D acc: (0.643)(0.574, 0.711)] [G loss: 1.148] [G acc: 0.145]\n",
      "4666 [D loss: (0.599)(R 0.608, F 0.590)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.165] [G acc: 0.121]\n",
      "4667 [D loss: (0.605)(R 0.635, F 0.576)] [D acc: (0.656)(0.555, 0.758)] [G loss: 1.092] [G acc: 0.129]\n",
      "4668 [D loss: (0.542)(R 0.553, F 0.531)] [D acc: (0.736)(0.645, 0.828)] [G loss: 1.196] [G acc: 0.137]\n",
      "4669 [D loss: (0.546)(R 0.577, F 0.515)] [D acc: (0.744)(0.656, 0.832)] [G loss: 1.269] [G acc: 0.094]\n",
      "4670 [D loss: (0.600)(R 0.583, F 0.616)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.225] [G acc: 0.141]\n",
      "4671 [D loss: (0.564)(R 0.548, F 0.581)] [D acc: (0.709)(0.695, 0.723)] [G loss: 1.233] [G acc: 0.117]\n",
      "4672 [D loss: (0.571)(R 0.572, F 0.569)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.138] [G acc: 0.164]\n",
      "4673 [D loss: (0.572)(R 0.570, F 0.573)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.122] [G acc: 0.180]\n",
      "4674 [D loss: (0.577)(R 0.574, F 0.580)] [D acc: (0.678)(0.637, 0.719)] [G loss: 1.205] [G acc: 0.090]\n",
      "4675 [D loss: (0.592)(R 0.598, F 0.585)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.217] [G acc: 0.129]\n",
      "4676 [D loss: (0.586)(R 0.588, F 0.585)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.202] [G acc: 0.129]\n",
      "4677 [D loss: (0.633)(R 0.624, F 0.642)] [D acc: (0.646)(0.578, 0.715)] [G loss: 1.127] [G acc: 0.164]\n",
      "4678 [D loss: (0.576)(R 0.618, F 0.534)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.193] [G acc: 0.152]\n",
      "4679 [D loss: (0.564)(R 0.604, F 0.524)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.187] [G acc: 0.156]\n",
      "4680 [D loss: (0.635)(R 0.635, F 0.636)] [D acc: (0.656)(0.602, 0.711)] [G loss: 1.259] [G acc: 0.133]\n",
      "4681 [D loss: (0.629)(R 0.722, F 0.535)] [D acc: (0.672)(0.535, 0.809)] [G loss: 1.198] [G acc: 0.098]\n",
      "4682 [D loss: (0.634)(R 0.628, F 0.639)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.150] [G acc: 0.156]\n",
      "4683 [D loss: (0.575)(R 0.616, F 0.534)] [D acc: (0.658)(0.559, 0.758)] [G loss: 1.230] [G acc: 0.109]\n",
      "4684 [D loss: (0.558)(R 0.587, F 0.529)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.182] [G acc: 0.137]\n",
      "4685 [D loss: (0.564)(R 0.545, F 0.583)] [D acc: (0.703)(0.676, 0.730)] [G loss: 1.201] [G acc: 0.141]\n",
      "4686 [D loss: (0.564)(R 0.584, F 0.544)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.177] [G acc: 0.137]\n",
      "4687 [D loss: (0.567)(R 0.544, F 0.591)] [D acc: (0.701)(0.676, 0.727)] [G loss: 1.169] [G acc: 0.203]\n",
      "4688 [D loss: (0.580)(R 0.599, F 0.560)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.243] [G acc: 0.109]\n",
      "4689 [D loss: (0.591)(R 0.607, F 0.575)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.124] [G acc: 0.188]\n",
      "4690 [D loss: (0.619)(R 0.625, F 0.613)] [D acc: (0.676)(0.613, 0.738)] [G loss: 1.163] [G acc: 0.152]\n",
      "4691 [D loss: (0.583)(R 0.598, F 0.568)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.130] [G acc: 0.152]\n",
      "4692 [D loss: (0.566)(R 0.537, F 0.595)] [D acc: (0.717)(0.684, 0.750)] [G loss: 1.188] [G acc: 0.152]\n",
      "4693 [D loss: (0.584)(R 0.585, F 0.583)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.196] [G acc: 0.152]\n",
      "4694 [D loss: (0.580)(R 0.592, F 0.568)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.124] [G acc: 0.184]\n",
      "4695 [D loss: (0.595)(R 0.572, F 0.618)] [D acc: (0.676)(0.629, 0.723)] [G loss: 1.195] [G acc: 0.113]\n",
      "4696 [D loss: (0.570)(R 0.598, F 0.542)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.216] [G acc: 0.133]\n",
      "4697 [D loss: (0.565)(R 0.539, F 0.591)] [D acc: (0.691)(0.668, 0.715)] [G loss: 1.239] [G acc: 0.105]\n",
      "4698 [D loss: (0.590)(R 0.581, F 0.598)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.189] [G acc: 0.152]\n",
      "4699 [D loss: (0.556)(R 0.567, F 0.545)] [D acc: (0.711)(0.660, 0.762)] [G loss: 1.260] [G acc: 0.160]\n",
      "4700 [D loss: (0.568)(R 0.592, F 0.543)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.221] [G acc: 0.164]\n",
      "4701 [D loss: (0.558)(R 0.561, F 0.555)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.221] [G acc: 0.180]\n",
      "4702 [D loss: (0.612)(R 0.633, F 0.590)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.193] [G acc: 0.137]\n",
      "4703 [D loss: (0.569)(R 0.563, F 0.575)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.225] [G acc: 0.137]\n",
      "4704 [D loss: (0.569)(R 0.610, F 0.528)] [D acc: (0.670)(0.586, 0.754)] [G loss: 1.274] [G acc: 0.094]\n",
      "4705 [D loss: (0.602)(R 0.607, F 0.597)] [D acc: (0.678)(0.652, 0.703)] [G loss: 1.229] [G acc: 0.160]\n",
      "4706 [D loss: (0.588)(R 0.615, F 0.561)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.185] [G acc: 0.152]\n",
      "4707 [D loss: (0.607)(R 0.614, F 0.601)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.150] [G acc: 0.168]\n",
      "4708 [D loss: (0.589)(R 0.570, F 0.608)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.094] [G acc: 0.168]\n",
      "4709 [D loss: (0.610)(R 0.616, F 0.604)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.154] [G acc: 0.148]\n",
      "4710 [D loss: (0.571)(R 0.601, F 0.541)] [D acc: (0.691)(0.605, 0.777)] [G loss: 1.196] [G acc: 0.141]\n",
      "4711 [D loss: (0.590)(R 0.562, F 0.617)] [D acc: (0.689)(0.652, 0.727)] [G loss: 1.156] [G acc: 0.152]\n",
      "4712 [D loss: (0.607)(R 0.608, F 0.606)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.194] [G acc: 0.148]\n",
      "4713 [D loss: (0.605)(R 0.640, F 0.569)] [D acc: (0.650)(0.551, 0.750)] [G loss: 1.121] [G acc: 0.168]\n",
      "4714 [D loss: (0.566)(R 0.605, F 0.527)] [D acc: (0.701)(0.613, 0.789)] [G loss: 1.213] [G acc: 0.109]\n",
      "4715 [D loss: (0.636)(R 0.611, F 0.661)] [D acc: (0.646)(0.590, 0.703)] [G loss: 1.179] [G acc: 0.117]\n",
      "4716 [D loss: (0.628)(R 0.637, F 0.619)] [D acc: (0.672)(0.617, 0.727)] [G loss: 1.103] [G acc: 0.168]\n",
      "4717 [D loss: (0.575)(R 0.602, F 0.547)] [D acc: (0.701)(0.625, 0.777)] [G loss: 1.120] [G acc: 0.129]\n",
      "4718 [D loss: (0.578)(R 0.593, F 0.562)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.124] [G acc: 0.160]\n",
      "4719 [D loss: (0.581)(R 0.583, F 0.578)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.111] [G acc: 0.188]\n",
      "4720 [D loss: (0.598)(R 0.562, F 0.634)] [D acc: (0.674)(0.652, 0.695)] [G loss: 1.335] [G acc: 0.129]\n",
      "4721 [D loss: (0.647)(R 0.686, F 0.609)] [D acc: (0.645)(0.570, 0.719)] [G loss: 1.169] [G acc: 0.113]\n",
      "4722 [D loss: (0.629)(R 0.642, F 0.615)] [D acc: (0.668)(0.598, 0.738)] [G loss: 1.142] [G acc: 0.191]\n",
      "4723 [D loss: (0.595)(R 0.581, F 0.609)] [D acc: (0.648)(0.625, 0.672)] [G loss: 1.123] [G acc: 0.148]\n",
      "4724 [D loss: (0.585)(R 0.558, F 0.611)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.154] [G acc: 0.184]\n",
      "4725 [D loss: (0.596)(R 0.615, F 0.577)] [D acc: (0.662)(0.566, 0.758)] [G loss: 1.179] [G acc: 0.133]\n",
      "4726 [D loss: (0.571)(R 0.599, F 0.542)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.075] [G acc: 0.180]\n",
      "4727 [D loss: (0.598)(R 0.575, F 0.621)] [D acc: (0.680)(0.656, 0.703)] [G loss: 1.139] [G acc: 0.172]\n",
      "4728 [D loss: (0.599)(R 0.587, F 0.611)] [D acc: (0.678)(0.633, 0.723)] [G loss: 1.207] [G acc: 0.133]\n",
      "4729 [D loss: (0.575)(R 0.670, F 0.480)] [D acc: (0.703)(0.547, 0.859)] [G loss: 1.244] [G acc: 0.105]\n",
      "4730 [D loss: (0.572)(R 0.526, F 0.617)] [D acc: (0.697)(0.660, 0.734)] [G loss: 1.163] [G acc: 0.145]\n",
      "4731 [D loss: (0.569)(R 0.570, F 0.568)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.117] [G acc: 0.137]\n",
      "4732 [D loss: (0.575)(R 0.570, F 0.580)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.213] [G acc: 0.145]\n",
      "4733 [D loss: (0.572)(R 0.537, F 0.608)] [D acc: (0.684)(0.668, 0.699)] [G loss: 1.155] [G acc: 0.152]\n",
      "4734 [D loss: (0.544)(R 0.545, F 0.542)] [D acc: (0.723)(0.660, 0.785)] [G loss: 1.295] [G acc: 0.156]\n",
      "4735 [D loss: (0.546)(R 0.559, F 0.532)] [D acc: (0.721)(0.660, 0.781)] [G loss: 1.372] [G acc: 0.066]\n",
      "4736 [D loss: (0.578)(R 0.566, F 0.589)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.236] [G acc: 0.105]\n",
      "4737 [D loss: (0.586)(R 0.581, F 0.591)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.211] [G acc: 0.152]\n",
      "4738 [D loss: (0.573)(R 0.584, F 0.562)] [D acc: (0.715)(0.621, 0.809)] [G loss: 1.212] [G acc: 0.137]\n",
      "4739 [D loss: (0.557)(R 0.547, F 0.567)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.133] [G acc: 0.133]\n",
      "4740 [D loss: (0.612)(R 0.608, F 0.616)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.208] [G acc: 0.152]\n",
      "4741 [D loss: (0.602)(R 0.607, F 0.597)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.158] [G acc: 0.184]\n",
      "4742 [D loss: (0.557)(R 0.542, F 0.571)] [D acc: (0.701)(0.688, 0.715)] [G loss: 1.200] [G acc: 0.180]\n",
      "4743 [D loss: (0.584)(R 0.621, F 0.546)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.169] [G acc: 0.156]\n",
      "4744 [D loss: (0.593)(R 0.572, F 0.614)] [D acc: (0.656)(0.637, 0.676)] [G loss: 1.165] [G acc: 0.129]\n",
      "4745 [D loss: (0.589)(R 0.599, F 0.580)] [D acc: (0.666)(0.586, 0.746)] [G loss: 1.100] [G acc: 0.168]\n",
      "4746 [D loss: (0.591)(R 0.589, F 0.593)] [D acc: (0.703)(0.652, 0.754)] [G loss: 1.187] [G acc: 0.109]\n",
      "4747 [D loss: (0.600)(R 0.626, F 0.575)] [D acc: (0.668)(0.605, 0.730)] [G loss: 1.197] [G acc: 0.168]\n",
      "4748 [D loss: (0.566)(R 0.592, F 0.539)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.295] [G acc: 0.098]\n",
      "4749 [D loss: (0.603)(R 0.588, F 0.618)] [D acc: (0.643)(0.621, 0.664)] [G loss: 1.256] [G acc: 0.125]\n",
      "4750 [D loss: (0.578)(R 0.624, F 0.532)] [D acc: (0.662)(0.566, 0.758)] [G loss: 1.259] [G acc: 0.070]\n",
      "4751 [D loss: (0.594)(R 0.590, F 0.598)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.178] [G acc: 0.121]\n",
      "4752 [D loss: (0.557)(R 0.514, F 0.600)] [D acc: (0.725)(0.707, 0.742)] [G loss: 1.198] [G acc: 0.113]\n",
      "4753 [D loss: (0.638)(R 0.641, F 0.635)] [D acc: (0.648)(0.578, 0.719)] [G loss: 1.131] [G acc: 0.164]\n",
      "4754 [D loss: (0.553)(R 0.563, F 0.543)] [D acc: (0.732)(0.688, 0.777)] [G loss: 1.153] [G acc: 0.145]\n",
      "4755 [D loss: (0.565)(R 0.565, F 0.564)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.222] [G acc: 0.137]\n",
      "4756 [D loss: (0.565)(R 0.591, F 0.539)] [D acc: (0.719)(0.625, 0.812)] [G loss: 1.180] [G acc: 0.145]\n",
      "4757 [D loss: (0.630)(R 0.588, F 0.671)] [D acc: (0.662)(0.645, 0.680)] [G loss: 1.196] [G acc: 0.172]\n",
      "4758 [D loss: (0.586)(R 0.618, F 0.553)] [D acc: (0.676)(0.586, 0.766)] [G loss: 1.207] [G acc: 0.125]\n",
      "4759 [D loss: (0.586)(R 0.594, F 0.578)] [D acc: (0.699)(0.625, 0.773)] [G loss: 1.209] [G acc: 0.168]\n",
      "4760 [D loss: (0.628)(R 0.608, F 0.647)] [D acc: (0.639)(0.613, 0.664)] [G loss: 1.162] [G acc: 0.145]\n",
      "4761 [D loss: (0.626)(R 0.641, F 0.611)] [D acc: (0.611)(0.551, 0.672)] [G loss: 1.129] [G acc: 0.176]\n",
      "4762 [D loss: (0.566)(R 0.609, F 0.523)] [D acc: (0.707)(0.605, 0.809)] [G loss: 1.192] [G acc: 0.125]\n",
      "4763 [D loss: (0.594)(R 0.595, F 0.593)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.151] [G acc: 0.160]\n",
      "4764 [D loss: (0.599)(R 0.603, F 0.594)] [D acc: (0.639)(0.594, 0.684)] [G loss: 1.163] [G acc: 0.191]\n",
      "4765 [D loss: (0.584)(R 0.562, F 0.606)] [D acc: (0.697)(0.668, 0.727)] [G loss: 1.167] [G acc: 0.148]\n",
      "4766 [D loss: (0.588)(R 0.643, F 0.533)] [D acc: (0.695)(0.582, 0.809)] [G loss: 1.216] [G acc: 0.086]\n",
      "4767 [D loss: (0.585)(R 0.595, F 0.575)] [D acc: (0.666)(0.617, 0.715)] [G loss: 1.136] [G acc: 0.156]\n",
      "4768 [D loss: (0.596)(R 0.597, F 0.596)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.176] [G acc: 0.129]\n",
      "4769 [D loss: (0.610)(R 0.619, F 0.602)] [D acc: (0.666)(0.574, 0.758)] [G loss: 1.080] [G acc: 0.156]\n",
      "4770 [D loss: (0.590)(R 0.607, F 0.574)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.187] [G acc: 0.160]\n",
      "4771 [D loss: (0.613)(R 0.664, F 0.563)] [D acc: (0.656)(0.559, 0.754)] [G loss: 1.216] [G acc: 0.105]\n",
      "4772 [D loss: (0.561)(R 0.561, F 0.560)] [D acc: (0.709)(0.648, 0.770)] [G loss: 1.126] [G acc: 0.172]\n",
      "4773 [D loss: (0.578)(R 0.569, F 0.587)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.185] [G acc: 0.168]\n",
      "4774 [D loss: (0.578)(R 0.592, F 0.565)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.154] [G acc: 0.160]\n",
      "4775 [D loss: (0.578)(R 0.573, F 0.583)] [D acc: (0.709)(0.648, 0.770)] [G loss: 1.148] [G acc: 0.156]\n",
      "4776 [D loss: (0.579)(R 0.603, F 0.554)] [D acc: (0.691)(0.594, 0.789)] [G loss: 1.227] [G acc: 0.129]\n",
      "4777 [D loss: (0.571)(R 0.552, F 0.590)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.256] [G acc: 0.141]\n",
      "4778 [D loss: (0.529)(R 0.555, F 0.504)] [D acc: (0.754)(0.676, 0.832)] [G loss: 1.247] [G acc: 0.141]\n",
      "4779 [D loss: (0.617)(R 0.613, F 0.622)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.213] [G acc: 0.160]\n",
      "4780 [D loss: (0.596)(R 0.621, F 0.571)] [D acc: (0.672)(0.570, 0.773)] [G loss: 1.220] [G acc: 0.086]\n",
      "4781 [D loss: (0.612)(R 0.611, F 0.613)] [D acc: (0.658)(0.617, 0.699)] [G loss: 1.215] [G acc: 0.145]\n",
      "4782 [D loss: (0.544)(R 0.577, F 0.510)] [D acc: (0.729)(0.645, 0.812)] [G loss: 1.175] [G acc: 0.117]\n",
      "4783 [D loss: (0.599)(R 0.555, F 0.642)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.155] [G acc: 0.188]\n",
      "4784 [D loss: (0.561)(R 0.580, F 0.542)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.132] [G acc: 0.180]\n",
      "4785 [D loss: (0.591)(R 0.595, F 0.587)] [D acc: (0.686)(0.633, 0.738)] [G loss: 1.135] [G acc: 0.152]\n",
      "4786 [D loss: (0.570)(R 0.567, F 0.574)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.166] [G acc: 0.117]\n",
      "4787 [D loss: (0.576)(R 0.535, F 0.617)] [D acc: (0.701)(0.664, 0.738)] [G loss: 1.536] [G acc: 0.105]\n",
      "4788 [D loss: (0.729)(R 0.833, F 0.624)] [D acc: (0.598)(0.496, 0.699)] [G loss: 1.161] [G acc: 0.160]\n",
      "4789 [D loss: (0.583)(R 0.570, F 0.595)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.081] [G acc: 0.180]\n",
      "4790 [D loss: (0.574)(R 0.537, F 0.612)] [D acc: (0.719)(0.699, 0.738)] [G loss: 1.125] [G acc: 0.145]\n",
      "4791 [D loss: (0.570)(R 0.566, F 0.575)] [D acc: (0.717)(0.652, 0.781)] [G loss: 1.111] [G acc: 0.168]\n",
      "4792 [D loss: (0.615)(R 0.572, F 0.659)] [D acc: (0.678)(0.648, 0.707)] [G loss: 1.148] [G acc: 0.180]\n",
      "4793 [D loss: (0.596)(R 0.662, F 0.530)] [D acc: (0.682)(0.566, 0.797)] [G loss: 1.198] [G acc: 0.148]\n",
      "4794 [D loss: (0.591)(R 0.579, F 0.602)] [D acc: (0.686)(0.637, 0.734)] [G loss: 1.131] [G acc: 0.160]\n",
      "4795 [D loss: (0.563)(R 0.583, F 0.543)] [D acc: (0.709)(0.629, 0.789)] [G loss: 1.226] [G acc: 0.125]\n",
      "4796 [D loss: (0.603)(R 0.580, F 0.627)] [D acc: (0.660)(0.594, 0.727)] [G loss: 1.196] [G acc: 0.125]\n",
      "4797 [D loss: (0.619)(R 0.690, F 0.549)] [D acc: (0.660)(0.527, 0.793)] [G loss: 1.113] [G acc: 0.168]\n",
      "4798 [D loss: (0.602)(R 0.605, F 0.599)] [D acc: (0.648)(0.582, 0.715)] [G loss: 1.130] [G acc: 0.145]\n",
      "4799 [D loss: (0.558)(R 0.570, F 0.545)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.211] [G acc: 0.129]\n",
      "4800 [D loss: (0.578)(R 0.553, F 0.602)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.241] [G acc: 0.129]\n",
      "4801 [D loss: (0.584)(R 0.593, F 0.575)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.225] [G acc: 0.117]\n",
      "4802 [D loss: (0.614)(R 0.598, F 0.630)] [D acc: (0.662)(0.602, 0.723)] [G loss: 1.136] [G acc: 0.191]\n",
      "4803 [D loss: (0.593)(R 0.587, F 0.598)] [D acc: (0.650)(0.598, 0.703)] [G loss: 1.160] [G acc: 0.148]\n",
      "4804 [D loss: (0.609)(R 0.641, F 0.577)] [D acc: (0.688)(0.594, 0.781)] [G loss: 1.137] [G acc: 0.145]\n",
      "4805 [D loss: (0.605)(R 0.609, F 0.600)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.160] [G acc: 0.148]\n",
      "4806 [D loss: (0.647)(R 0.710, F 0.584)] [D acc: (0.629)(0.480, 0.777)] [G loss: 1.112] [G acc: 0.145]\n",
      "4807 [D loss: (0.626)(R 0.611, F 0.641)] [D acc: (0.676)(0.637, 0.715)] [G loss: 1.131] [G acc: 0.164]\n",
      "4808 [D loss: (0.579)(R 0.629, F 0.529)] [D acc: (0.688)(0.590, 0.785)] [G loss: 1.132] [G acc: 0.133]\n",
      "4809 [D loss: (0.555)(R 0.577, F 0.533)] [D acc: (0.717)(0.637, 0.797)] [G loss: 1.149] [G acc: 0.160]\n",
      "4810 [D loss: (0.543)(R 0.554, F 0.531)] [D acc: (0.732)(0.652, 0.812)] [G loss: 1.290] [G acc: 0.098]\n",
      "4811 [D loss: (0.640)(R 0.643, F 0.636)] [D acc: (0.633)(0.578, 0.688)] [G loss: 1.226] [G acc: 0.125]\n",
      "4812 [D loss: (0.571)(R 0.614, F 0.528)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.215] [G acc: 0.133]\n",
      "4813 [D loss: (0.532)(R 0.527, F 0.538)] [D acc: (0.744)(0.688, 0.801)] [G loss: 1.193] [G acc: 0.141]\n",
      "4814 [D loss: (0.584)(R 0.598, F 0.570)] [D acc: (0.670)(0.594, 0.746)] [G loss: 1.183] [G acc: 0.152]\n",
      "4815 [D loss: (0.570)(R 0.535, F 0.605)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.174] [G acc: 0.168]\n",
      "4816 [D loss: (0.593)(R 0.614, F 0.572)] [D acc: (0.660)(0.586, 0.734)] [G loss: 1.145] [G acc: 0.215]\n",
      "4817 [D loss: (0.593)(R 0.603, F 0.582)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.196] [G acc: 0.156]\n",
      "4818 [D loss: (0.572)(R 0.562, F 0.581)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.235] [G acc: 0.156]\n",
      "4819 [D loss: (0.616)(R 0.649, F 0.583)] [D acc: (0.658)(0.578, 0.738)] [G loss: 1.261] [G acc: 0.137]\n",
      "4820 [D loss: (0.656)(R 0.712, F 0.600)] [D acc: (0.625)(0.523, 0.727)] [G loss: 1.128] [G acc: 0.160]\n",
      "4821 [D loss: (0.585)(R 0.582, F 0.588)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.174] [G acc: 0.137]\n",
      "4822 [D loss: (0.600)(R 0.615, F 0.585)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.149] [G acc: 0.172]\n",
      "4823 [D loss: (0.559)(R 0.580, F 0.539)] [D acc: (0.707)(0.656, 0.758)] [G loss: 1.209] [G acc: 0.117]\n",
      "4824 [D loss: (0.593)(R 0.611, F 0.575)] [D acc: (0.660)(0.605, 0.715)] [G loss: 1.261] [G acc: 0.145]\n",
      "4825 [D loss: (0.548)(R 0.586, F 0.510)] [D acc: (0.719)(0.629, 0.809)] [G loss: 1.299] [G acc: 0.094]\n",
      "4826 [D loss: (0.583)(R 0.605, F 0.561)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.178] [G acc: 0.117]\n",
      "4827 [D loss: (0.571)(R 0.523, F 0.619)] [D acc: (0.703)(0.688, 0.719)] [G loss: 1.145] [G acc: 0.145]\n",
      "4828 [D loss: (0.581)(R 0.594, F 0.568)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.236] [G acc: 0.109]\n",
      "4829 [D loss: (0.556)(R 0.565, F 0.546)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.220] [G acc: 0.121]\n",
      "4830 [D loss: (0.605)(R 0.610, F 0.601)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.141] [G acc: 0.156]\n",
      "4831 [D loss: (0.595)(R 0.591, F 0.598)] [D acc: (0.662)(0.613, 0.711)] [G loss: 1.183] [G acc: 0.152]\n",
      "4832 [D loss: (0.568)(R 0.562, F 0.574)] [D acc: (0.725)(0.656, 0.793)] [G loss: 1.163] [G acc: 0.141]\n",
      "4833 [D loss: (0.595)(R 0.573, F 0.616)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.179] [G acc: 0.145]\n",
      "4834 [D loss: (0.594)(R 0.624, F 0.564)] [D acc: (0.658)(0.605, 0.711)] [G loss: 1.183] [G acc: 0.152]\n",
      "4835 [D loss: (0.533)(R 0.584, F 0.481)] [D acc: (0.740)(0.648, 0.832)] [G loss: 1.216] [G acc: 0.148]\n",
      "4836 [D loss: (0.544)(R 0.542, F 0.546)] [D acc: (0.709)(0.668, 0.750)] [G loss: 1.261] [G acc: 0.145]\n",
      "4837 [D loss: (0.558)(R 0.562, F 0.554)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.267] [G acc: 0.125]\n",
      "4838 [D loss: (0.628)(R 0.639, F 0.617)] [D acc: (0.652)(0.598, 0.707)] [G loss: 1.179] [G acc: 0.152]\n",
      "4839 [D loss: (0.583)(R 0.572, F 0.593)] [D acc: (0.709)(0.660, 0.758)] [G loss: 1.251] [G acc: 0.113]\n",
      "4840 [D loss: (0.598)(R 0.659, F 0.538)] [D acc: (0.666)(0.559, 0.773)] [G loss: 1.196] [G acc: 0.180]\n",
      "4841 [D loss: (0.601)(R 0.604, F 0.598)] [D acc: (0.705)(0.621, 0.789)] [G loss: 1.248] [G acc: 0.113]\n",
      "4842 [D loss: (0.611)(R 0.583, F 0.638)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.153] [G acc: 0.148]\n",
      "4843 [D loss: (0.537)(R 0.574, F 0.500)] [D acc: (0.756)(0.684, 0.828)] [G loss: 1.193] [G acc: 0.184]\n",
      "4844 [D loss: (0.558)(R 0.535, F 0.581)] [D acc: (0.721)(0.680, 0.762)] [G loss: 1.246] [G acc: 0.184]\n",
      "4845 [D loss: (0.570)(R 0.554, F 0.586)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.215] [G acc: 0.172]\n",
      "4846 [D loss: (0.583)(R 0.584, F 0.582)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.047] [G acc: 0.215]\n",
      "4847 [D loss: (0.594)(R 0.639, F 0.550)] [D acc: (0.697)(0.613, 0.781)] [G loss: 1.177] [G acc: 0.164]\n",
      "4848 [D loss: (0.584)(R 0.577, F 0.590)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.120] [G acc: 0.211]\n",
      "4849 [D loss: (0.562)(R 0.568, F 0.555)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.154] [G acc: 0.176]\n",
      "4850 [D loss: (0.591)(R 0.599, F 0.584)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.125] [G acc: 0.160]\n",
      "4851 [D loss: (0.598)(R 0.640, F 0.557)] [D acc: (0.672)(0.578, 0.766)] [G loss: 1.160] [G acc: 0.152]\n",
      "4852 [D loss: (0.560)(R 0.546, F 0.574)] [D acc: (0.686)(0.660, 0.711)] [G loss: 1.132] [G acc: 0.164]\n",
      "4853 [D loss: (0.578)(R 0.568, F 0.588)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.170] [G acc: 0.160]\n",
      "4854 [D loss: (0.565)(R 0.574, F 0.556)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.157] [G acc: 0.188]\n",
      "4855 [D loss: (0.602)(R 0.617, F 0.588)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.212] [G acc: 0.180]\n",
      "4856 [D loss: (0.634)(R 0.653, F 0.614)] [D acc: (0.654)(0.590, 0.719)] [G loss: 1.213] [G acc: 0.199]\n",
      "4857 [D loss: (0.570)(R 0.593, F 0.546)] [D acc: (0.715)(0.645, 0.785)] [G loss: 1.200] [G acc: 0.105]\n",
      "4858 [D loss: (0.538)(R 0.529, F 0.547)] [D acc: (0.721)(0.680, 0.762)] [G loss: 1.191] [G acc: 0.160]\n",
      "4859 [D loss: (0.608)(R 0.569, F 0.646)] [D acc: (0.664)(0.613, 0.715)] [G loss: 1.151] [G acc: 0.168]\n",
      "4860 [D loss: (0.637)(R 0.602, F 0.671)] [D acc: (0.662)(0.625, 0.699)] [G loss: 1.167] [G acc: 0.156]\n",
      "4861 [D loss: (0.583)(R 0.614, F 0.551)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.205] [G acc: 0.102]\n",
      "4862 [D loss: (0.603)(R 0.607, F 0.599)] [D acc: (0.670)(0.605, 0.734)] [G loss: 1.139] [G acc: 0.133]\n",
      "4863 [D loss: (0.595)(R 0.644, F 0.545)] [D acc: (0.674)(0.562, 0.785)] [G loss: 1.306] [G acc: 0.109]\n",
      "4864 [D loss: (0.593)(R 0.627, F 0.559)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.271] [G acc: 0.094]\n",
      "4865 [D loss: (0.575)(R 0.574, F 0.576)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.089] [G acc: 0.191]\n",
      "4866 [D loss: (0.574)(R 0.530, F 0.618)] [D acc: (0.695)(0.668, 0.723)] [G loss: 1.154] [G acc: 0.176]\n",
      "4867 [D loss: (0.555)(R 0.536, F 0.574)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.234] [G acc: 0.105]\n",
      "4868 [D loss: (0.641)(R 0.634, F 0.647)] [D acc: (0.635)(0.551, 0.719)] [G loss: 1.164] [G acc: 0.109]\n",
      "4869 [D loss: (0.605)(R 0.635, F 0.575)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.194] [G acc: 0.133]\n",
      "4870 [D loss: (0.575)(R 0.607, F 0.543)] [D acc: (0.697)(0.613, 0.781)] [G loss: 1.134] [G acc: 0.160]\n",
      "4871 [D loss: (0.579)(R 0.602, F 0.557)] [D acc: (0.668)(0.598, 0.738)] [G loss: 1.073] [G acc: 0.207]\n",
      "4872 [D loss: (0.583)(R 0.579, F 0.588)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.204] [G acc: 0.176]\n",
      "4873 [D loss: (0.542)(R 0.563, F 0.520)] [D acc: (0.742)(0.660, 0.824)] [G loss: 1.415] [G acc: 0.051]\n",
      "4874 [D loss: (0.576)(R 0.579, F 0.574)] [D acc: (0.707)(0.656, 0.758)] [G loss: 1.153] [G acc: 0.184]\n",
      "4875 [D loss: (0.589)(R 0.611, F 0.567)] [D acc: (0.664)(0.574, 0.754)] [G loss: 1.216] [G acc: 0.148]\n",
      "4876 [D loss: (0.565)(R 0.579, F 0.552)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.251] [G acc: 0.109]\n",
      "4877 [D loss: (0.583)(R 0.604, F 0.562)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.212] [G acc: 0.148]\n",
      "4878 [D loss: (0.588)(R 0.623, F 0.554)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.169] [G acc: 0.176]\n",
      "4879 [D loss: (0.556)(R 0.509, F 0.603)] [D acc: (0.721)(0.719, 0.723)] [G loss: 1.368] [G acc: 0.102]\n",
      "4880 [D loss: (0.592)(R 0.601, F 0.583)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.232] [G acc: 0.145]\n",
      "4881 [D loss: (0.618)(R 0.593, F 0.642)] [D acc: (0.650)(0.617, 0.684)] [G loss: 1.227] [G acc: 0.137]\n",
      "4882 [D loss: (0.591)(R 0.586, F 0.595)] [D acc: (0.686)(0.641, 0.730)] [G loss: 1.129] [G acc: 0.223]\n",
      "4883 [D loss: (0.598)(R 0.643, F 0.554)] [D acc: (0.686)(0.637, 0.734)] [G loss: 1.128] [G acc: 0.160]\n",
      "4884 [D loss: (0.586)(R 0.582, F 0.590)] [D acc: (0.691)(0.621, 0.762)] [G loss: 1.159] [G acc: 0.184]\n",
      "4885 [D loss: (0.602)(R 0.589, F 0.615)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.147] [G acc: 0.172]\n",
      "4886 [D loss: (0.597)(R 0.612, F 0.581)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.146] [G acc: 0.156]\n",
      "4887 [D loss: (0.557)(R 0.557, F 0.557)] [D acc: (0.709)(0.668, 0.750)] [G loss: 1.130] [G acc: 0.180]\n",
      "4888 [D loss: (0.600)(R 0.631, F 0.568)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.143] [G acc: 0.223]\n",
      "4889 [D loss: (0.586)(R 0.618, F 0.554)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.302] [G acc: 0.078]\n",
      "4890 [D loss: (0.612)(R 0.622, F 0.602)] [D acc: (0.670)(0.594, 0.746)] [G loss: 1.248] [G acc: 0.152]\n",
      "4891 [D loss: (0.554)(R 0.570, F 0.537)] [D acc: (0.719)(0.668, 0.770)] [G loss: 1.305] [G acc: 0.094]\n",
      "4892 [D loss: (0.621)(R 0.635, F 0.607)] [D acc: (0.645)(0.574, 0.715)] [G loss: 1.172] [G acc: 0.188]\n",
      "4893 [D loss: (0.609)(R 0.636, F 0.582)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.134] [G acc: 0.164]\n",
      "4894 [D loss: (0.537)(R 0.481, F 0.594)] [D acc: (0.721)(0.730, 0.711)] [G loss: 1.170] [G acc: 0.168]\n",
      "4895 [D loss: (0.579)(R 0.583, F 0.575)] [D acc: (0.684)(0.652, 0.715)] [G loss: 1.094] [G acc: 0.207]\n",
      "4896 [D loss: (0.583)(R 0.590, F 0.575)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.148] [G acc: 0.156]\n",
      "4897 [D loss: (0.575)(R 0.574, F 0.576)] [D acc: (0.725)(0.699, 0.750)] [G loss: 1.183] [G acc: 0.160]\n",
      "4898 [D loss: (0.576)(R 0.570, F 0.583)] [D acc: (0.689)(0.652, 0.727)] [G loss: 1.181] [G acc: 0.152]\n",
      "4899 [D loss: (0.566)(R 0.577, F 0.556)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.186] [G acc: 0.184]\n",
      "4900 [D loss: (0.562)(R 0.582, F 0.543)] [D acc: (0.711)(0.633, 0.789)] [G loss: 1.245] [G acc: 0.105]\n",
      "4901 [D loss: (0.584)(R 0.590, F 0.578)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.225] [G acc: 0.148]\n",
      "4902 [D loss: (0.565)(R 0.567, F 0.564)] [D acc: (0.709)(0.664, 0.754)] [G loss: 1.324] [G acc: 0.074]\n",
      "4903 [D loss: (0.640)(R 0.653, F 0.628)] [D acc: (0.658)(0.586, 0.730)] [G loss: 1.243] [G acc: 0.156]\n",
      "4904 [D loss: (0.545)(R 0.513, F 0.578)] [D acc: (0.721)(0.711, 0.730)] [G loss: 1.177] [G acc: 0.168]\n",
      "4905 [D loss: (0.561)(R 0.542, F 0.580)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.179] [G acc: 0.156]\n",
      "4906 [D loss: (0.548)(R 0.538, F 0.558)] [D acc: (0.711)(0.645, 0.777)] [G loss: 1.215] [G acc: 0.141]\n",
      "4907 [D loss: (0.611)(R 0.596, F 0.626)] [D acc: (0.656)(0.602, 0.711)] [G loss: 1.145] [G acc: 0.148]\n",
      "4908 [D loss: (0.566)(R 0.547, F 0.585)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.233] [G acc: 0.109]\n",
      "4909 [D loss: (0.588)(R 0.556, F 0.621)] [D acc: (0.697)(0.660, 0.734)] [G loss: 1.241] [G acc: 0.137]\n",
      "4910 [D loss: (0.554)(R 0.550, F 0.558)] [D acc: (0.721)(0.688, 0.754)] [G loss: 1.284] [G acc: 0.105]\n",
      "4911 [D loss: (0.587)(R 0.601, F 0.572)] [D acc: (0.668)(0.582, 0.754)] [G loss: 1.280] [G acc: 0.176]\n",
      "4912 [D loss: (0.564)(R 0.534, F 0.593)] [D acc: (0.703)(0.648, 0.758)] [G loss: 1.194] [G acc: 0.152]\n",
      "4913 [D loss: (0.561)(R 0.540, F 0.581)] [D acc: (0.721)(0.691, 0.750)] [G loss: 1.332] [G acc: 0.137]\n",
      "4914 [D loss: (0.546)(R 0.582, F 0.510)] [D acc: (0.729)(0.648, 0.809)] [G loss: 1.431] [G acc: 0.078]\n",
      "4915 [D loss: (0.602)(R 0.637, F 0.568)] [D acc: (0.684)(0.586, 0.781)] [G loss: 1.225] [G acc: 0.109]\n",
      "4916 [D loss: (0.569)(R 0.607, F 0.531)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.292] [G acc: 0.137]\n",
      "4917 [D loss: (0.592)(R 0.559, F 0.625)] [D acc: (0.703)(0.684, 0.723)] [G loss: 1.286] [G acc: 0.156]\n",
      "4918 [D loss: (0.598)(R 0.610, F 0.585)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.239] [G acc: 0.133]\n",
      "4919 [D loss: (0.583)(R 0.625, F 0.540)] [D acc: (0.682)(0.578, 0.785)] [G loss: 1.190] [G acc: 0.188]\n",
      "4920 [D loss: (0.593)(R 0.629, F 0.557)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.122] [G acc: 0.152]\n",
      "4921 [D loss: (0.588)(R 0.603, F 0.573)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.205] [G acc: 0.168]\n",
      "4922 [D loss: (0.574)(R 0.592, F 0.557)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.218] [G acc: 0.145]\n",
      "4923 [D loss: (0.591)(R 0.608, F 0.573)] [D acc: (0.672)(0.582, 0.762)] [G loss: 1.287] [G acc: 0.133]\n",
      "4924 [D loss: (0.563)(R 0.622, F 0.505)] [D acc: (0.689)(0.562, 0.816)] [G loss: 1.295] [G acc: 0.078]\n",
      "4925 [D loss: (0.620)(R 0.611, F 0.629)] [D acc: (0.654)(0.609, 0.699)] [G loss: 1.179] [G acc: 0.148]\n",
      "4926 [D loss: (0.550)(R 0.573, F 0.527)] [D acc: (0.719)(0.641, 0.797)] [G loss: 1.252] [G acc: 0.148]\n",
      "4927 [D loss: (0.583)(R 0.616, F 0.550)] [D acc: (0.674)(0.613, 0.734)] [G loss: 1.249] [G acc: 0.133]\n",
      "4928 [D loss: (0.585)(R 0.570, F 0.600)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.203] [G acc: 0.180]\n",
      "4929 [D loss: (0.574)(R 0.598, F 0.551)] [D acc: (0.719)(0.648, 0.789)] [G loss: 1.281] [G acc: 0.156]\n",
      "4930 [D loss: (0.552)(R 0.607, F 0.497)] [D acc: (0.711)(0.598, 0.824)] [G loss: 1.283] [G acc: 0.098]\n",
      "4931 [D loss: (0.572)(R 0.571, F 0.573)] [D acc: (0.701)(0.664, 0.738)] [G loss: 1.114] [G acc: 0.176]\n",
      "4932 [D loss: (0.560)(R 0.547, F 0.573)] [D acc: (0.688)(0.668, 0.707)] [G loss: 1.158] [G acc: 0.164]\n",
      "4933 [D loss: (0.574)(R 0.584, F 0.564)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.195] [G acc: 0.141]\n",
      "4934 [D loss: (0.560)(R 0.566, F 0.554)] [D acc: (0.693)(0.645, 0.742)] [G loss: 1.144] [G acc: 0.152]\n",
      "4935 [D loss: (0.560)(R 0.531, F 0.589)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.219] [G acc: 0.191]\n",
      "4936 [D loss: (0.555)(R 0.592, F 0.517)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.280] [G acc: 0.098]\n",
      "4937 [D loss: (0.606)(R 0.532, F 0.681)] [D acc: (0.680)(0.672, 0.688)] [G loss: 1.182] [G acc: 0.168]\n",
      "4938 [D loss: (0.583)(R 0.611, F 0.556)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.302] [G acc: 0.109]\n",
      "4939 [D loss: (0.582)(R 0.558, F 0.605)] [D acc: (0.693)(0.664, 0.723)] [G loss: 1.112] [G acc: 0.258]\n",
      "4940 [D loss: (0.580)(R 0.638, F 0.521)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.212] [G acc: 0.156]\n",
      "4941 [D loss: (0.581)(R 0.625, F 0.538)] [D acc: (0.689)(0.590, 0.789)] [G loss: 1.190] [G acc: 0.141]\n",
      "4942 [D loss: (0.576)(R 0.603, F 0.550)] [D acc: (0.688)(0.594, 0.781)] [G loss: 1.195] [G acc: 0.160]\n",
      "4943 [D loss: (0.581)(R 0.565, F 0.598)] [D acc: (0.686)(0.633, 0.738)] [G loss: 1.202] [G acc: 0.152]\n",
      "4944 [D loss: (0.590)(R 0.594, F 0.587)] [D acc: (0.682)(0.621, 0.742)] [G loss: 1.187] [G acc: 0.176]\n",
      "4945 [D loss: (0.575)(R 0.555, F 0.594)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.143] [G acc: 0.152]\n",
      "4946 [D loss: (0.602)(R 0.627, F 0.577)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.176] [G acc: 0.109]\n",
      "4947 [D loss: (0.630)(R 0.617, F 0.643)] [D acc: (0.635)(0.586, 0.684)] [G loss: 1.189] [G acc: 0.168]\n",
      "4948 [D loss: (0.569)(R 0.618, F 0.521)] [D acc: (0.721)(0.633, 0.809)] [G loss: 1.181] [G acc: 0.145]\n",
      "4949 [D loss: (0.573)(R 0.585, F 0.561)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.169] [G acc: 0.184]\n",
      "4950 [D loss: (0.595)(R 0.610, F 0.579)] [D acc: (0.695)(0.633, 0.758)] [G loss: 1.210] [G acc: 0.133]\n",
      "4951 [D loss: (0.567)(R 0.536, F 0.598)] [D acc: (0.707)(0.676, 0.738)] [G loss: 1.205] [G acc: 0.207]\n",
      "4952 [D loss: (0.552)(R 0.553, F 0.552)] [D acc: (0.729)(0.656, 0.801)] [G loss: 1.178] [G acc: 0.133]\n",
      "4953 [D loss: (0.558)(R 0.550, F 0.565)] [D acc: (0.715)(0.637, 0.793)] [G loss: 1.175] [G acc: 0.191]\n",
      "4954 [D loss: (0.566)(R 0.587, F 0.545)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.218] [G acc: 0.133]\n",
      "4955 [D loss: (0.570)(R 0.543, F 0.597)] [D acc: (0.697)(0.664, 0.730)] [G loss: 1.175] [G acc: 0.152]\n",
      "4956 [D loss: (0.558)(R 0.557, F 0.558)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.225] [G acc: 0.113]\n",
      "4957 [D loss: (0.663)(R 0.672, F 0.653)] [D acc: (0.623)(0.574, 0.672)] [G loss: 1.179] [G acc: 0.152]\n",
      "4958 [D loss: (0.576)(R 0.588, F 0.565)] [D acc: (0.693)(0.641, 0.746)] [G loss: 1.168] [G acc: 0.180]\n",
      "4959 [D loss: (0.606)(R 0.627, F 0.585)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.134] [G acc: 0.156]\n",
      "4960 [D loss: (0.612)(R 0.611, F 0.613)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.175] [G acc: 0.168]\n",
      "4961 [D loss: (0.573)(R 0.544, F 0.602)] [D acc: (0.686)(0.656, 0.715)] [G loss: 1.191] [G acc: 0.152]\n",
      "4962 [D loss: (0.559)(R 0.568, F 0.551)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.165] [G acc: 0.184]\n",
      "4963 [D loss: (0.587)(R 0.584, F 0.590)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.178] [G acc: 0.176]\n",
      "4964 [D loss: (0.550)(R 0.568, F 0.532)] [D acc: (0.703)(0.648, 0.758)] [G loss: 1.145] [G acc: 0.145]\n",
      "4965 [D loss: (0.589)(R 0.600, F 0.578)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.138] [G acc: 0.164]\n",
      "4966 [D loss: (0.582)(R 0.564, F 0.600)] [D acc: (0.717)(0.676, 0.758)] [G loss: 1.171] [G acc: 0.160]\n",
      "4967 [D loss: (0.595)(R 0.598, F 0.591)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.213] [G acc: 0.137]\n",
      "4968 [D loss: (0.597)(R 0.598, F 0.596)] [D acc: (0.658)(0.621, 0.695)] [G loss: 1.211] [G acc: 0.113]\n",
      "4969 [D loss: (0.561)(R 0.614, F 0.507)] [D acc: (0.709)(0.605, 0.812)] [G loss: 1.187] [G acc: 0.113]\n",
      "4970 [D loss: (0.622)(R 0.620, F 0.623)] [D acc: (0.637)(0.566, 0.707)] [G loss: 1.100] [G acc: 0.191]\n",
      "4971 [D loss: (0.585)(R 0.560, F 0.609)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.122] [G acc: 0.207]\n",
      "4972 [D loss: (0.597)(R 0.584, F 0.610)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.105] [G acc: 0.141]\n",
      "4973 [D loss: (0.619)(R 0.592, F 0.647)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.135] [G acc: 0.203]\n",
      "4974 [D loss: (0.560)(R 0.621, F 0.499)] [D acc: (0.709)(0.586, 0.832)] [G loss: 1.217] [G acc: 0.105]\n",
      "4975 [D loss: (0.589)(R 0.592, F 0.586)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.260] [G acc: 0.145]\n",
      "4976 [D loss: (0.534)(R 0.539, F 0.528)] [D acc: (0.754)(0.684, 0.824)] [G loss: 1.255] [G acc: 0.098]\n",
      "4977 [D loss: (0.560)(R 0.567, F 0.553)] [D acc: (0.715)(0.664, 0.766)] [G loss: 1.129] [G acc: 0.199]\n",
      "4978 [D loss: (0.557)(R 0.559, F 0.556)] [D acc: (0.682)(0.621, 0.742)] [G loss: 1.091] [G acc: 0.223]\n",
      "4979 [D loss: (0.597)(R 0.583, F 0.611)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.123] [G acc: 0.145]\n",
      "4980 [D loss: (0.599)(R 0.588, F 0.609)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.171] [G acc: 0.164]\n",
      "4981 [D loss: (0.604)(R 0.575, F 0.633)] [D acc: (0.650)(0.617, 0.684)] [G loss: 1.221] [G acc: 0.152]\n",
      "4982 [D loss: (0.605)(R 0.627, F 0.583)] [D acc: (0.688)(0.590, 0.785)] [G loss: 1.199] [G acc: 0.117]\n",
      "4983 [D loss: (0.575)(R 0.579, F 0.570)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.179] [G acc: 0.180]\n",
      "4984 [D loss: (0.568)(R 0.570, F 0.566)] [D acc: (0.693)(0.645, 0.742)] [G loss: 1.092] [G acc: 0.176]\n",
      "4985 [D loss: (0.616)(R 0.588, F 0.643)] [D acc: (0.676)(0.629, 0.723)] [G loss: 1.148] [G acc: 0.129]\n",
      "4986 [D loss: (0.577)(R 0.561, F 0.592)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.186] [G acc: 0.098]\n",
      "4987 [D loss: (0.591)(R 0.580, F 0.601)] [D acc: (0.703)(0.637, 0.770)] [G loss: 1.154] [G acc: 0.148]\n",
      "4988 [D loss: (0.558)(R 0.534, F 0.582)] [D acc: (0.705)(0.691, 0.719)] [G loss: 1.217] [G acc: 0.133]\n",
      "4989 [D loss: (0.595)(R 0.615, F 0.575)] [D acc: (0.670)(0.586, 0.754)] [G loss: 1.120] [G acc: 0.172]\n",
      "4990 [D loss: (0.564)(R 0.565, F 0.563)] [D acc: (0.709)(0.648, 0.770)] [G loss: 1.164] [G acc: 0.168]\n",
      "4991 [D loss: (0.546)(R 0.589, F 0.504)] [D acc: (0.740)(0.668, 0.812)] [G loss: 1.246] [G acc: 0.141]\n",
      "4992 [D loss: (0.561)(R 0.566, F 0.557)] [D acc: (0.727)(0.656, 0.797)] [G loss: 1.322] [G acc: 0.133]\n",
      "4993 [D loss: (0.568)(R 0.584, F 0.553)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.211] [G acc: 0.129]\n",
      "4994 [D loss: (0.583)(R 0.602, F 0.563)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.198] [G acc: 0.168]\n",
      "4995 [D loss: (0.585)(R 0.562, F 0.609)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.166] [G acc: 0.176]\n",
      "4996 [D loss: (0.598)(R 0.611, F 0.586)] [D acc: (0.676)(0.617, 0.734)] [G loss: 1.194] [G acc: 0.203]\n",
      "4997 [D loss: (0.574)(R 0.574, F 0.573)] [D acc: (0.711)(0.664, 0.758)] [G loss: 1.218] [G acc: 0.141]\n",
      "4998 [D loss: (0.594)(R 0.615, F 0.574)] [D acc: (0.676)(0.625, 0.727)] [G loss: 1.396] [G acc: 0.129]\n",
      "4999 [D loss: (0.557)(R 0.610, F 0.504)] [D acc: (0.725)(0.629, 0.820)] [G loss: 1.575] [G acc: 0.066]\n",
      "5000 [D loss: (0.659)(R 0.700, F 0.618)] [D acc: (0.645)(0.559, 0.730)] [G loss: 1.178] [G acc: 0.125]\n",
      "5001 [D loss: (0.584)(R 0.586, F 0.581)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.086] [G acc: 0.184]\n",
      "5002 [D loss: (0.583)(R 0.536, F 0.629)] [D acc: (0.688)(0.664, 0.711)] [G loss: 1.087] [G acc: 0.191]\n",
      "5003 [D loss: (0.566)(R 0.561, F 0.571)] [D acc: (0.701)(0.625, 0.777)] [G loss: 1.067] [G acc: 0.215]\n",
      "5004 [D loss: (0.596)(R 0.555, F 0.637)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.174] [G acc: 0.148]\n",
      "5005 [D loss: (0.603)(R 0.638, F 0.568)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.160] [G acc: 0.125]\n",
      "5006 [D loss: (0.585)(R 0.615, F 0.555)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.135] [G acc: 0.168]\n",
      "5007 [D loss: (0.601)(R 0.589, F 0.613)] [D acc: (0.676)(0.641, 0.711)] [G loss: 1.165] [G acc: 0.145]\n",
      "5008 [D loss: (0.581)(R 0.607, F 0.554)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.211] [G acc: 0.164]\n",
      "5009 [D loss: (0.549)(R 0.561, F 0.537)] [D acc: (0.725)(0.656, 0.793)] [G loss: 1.324] [G acc: 0.086]\n",
      "5010 [D loss: (0.689)(R 0.685, F 0.692)] [D acc: (0.621)(0.547, 0.695)] [G loss: 1.116] [G acc: 0.133]\n",
      "5011 [D loss: (0.643)(R 0.684, F 0.602)] [D acc: (0.635)(0.562, 0.707)] [G loss: 1.165] [G acc: 0.152]\n",
      "5012 [D loss: (0.586)(R 0.622, F 0.551)] [D acc: (0.668)(0.578, 0.758)] [G loss: 1.136] [G acc: 0.184]\n",
      "5013 [D loss: (0.582)(R 0.585, F 0.579)] [D acc: (0.689)(0.617, 0.762)] [G loss: 1.195] [G acc: 0.152]\n",
      "5014 [D loss: (0.613)(R 0.627, F 0.600)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.155] [G acc: 0.148]\n",
      "5015 [D loss: (0.575)(R 0.574, F 0.577)] [D acc: (0.699)(0.652, 0.746)] [G loss: 1.189] [G acc: 0.125]\n",
      "5016 [D loss: (0.590)(R 0.587, F 0.594)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.201] [G acc: 0.164]\n",
      "5017 [D loss: (0.593)(R 0.579, F 0.607)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.186] [G acc: 0.125]\n",
      "5018 [D loss: (0.582)(R 0.613, F 0.551)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.157] [G acc: 0.160]\n",
      "5019 [D loss: (0.607)(R 0.601, F 0.613)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.250] [G acc: 0.148]\n",
      "5020 [D loss: (0.613)(R 0.610, F 0.616)] [D acc: (0.648)(0.594, 0.703)] [G loss: 1.223] [G acc: 0.145]\n",
      "5021 [D loss: (0.626)(R 0.665, F 0.588)] [D acc: (0.654)(0.566, 0.742)] [G loss: 1.175] [G acc: 0.148]\n",
      "5022 [D loss: (0.548)(R 0.586, F 0.509)] [D acc: (0.723)(0.633, 0.812)] [G loss: 1.219] [G acc: 0.133]\n",
      "5023 [D loss: (0.562)(R 0.592, F 0.532)] [D acc: (0.723)(0.637, 0.809)] [G loss: 1.309] [G acc: 0.098]\n",
      "5024 [D loss: (0.613)(R 0.612, F 0.613)] [D acc: (0.666)(0.609, 0.723)] [G loss: 1.173] [G acc: 0.172]\n",
      "5025 [D loss: (0.570)(R 0.584, F 0.555)] [D acc: (0.729)(0.648, 0.809)] [G loss: 1.155] [G acc: 0.172]\n",
      "5026 [D loss: (0.566)(R 0.573, F 0.559)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.178] [G acc: 0.152]\n",
      "5027 [D loss: (0.588)(R 0.568, F 0.608)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.182] [G acc: 0.148]\n",
      "5028 [D loss: (0.582)(R 0.628, F 0.537)] [D acc: (0.684)(0.586, 0.781)] [G loss: 1.164] [G acc: 0.180]\n",
      "5029 [D loss: (0.565)(R 0.587, F 0.544)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.154] [G acc: 0.164]\n",
      "5030 [D loss: (0.588)(R 0.586, F 0.590)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.125] [G acc: 0.191]\n",
      "5031 [D loss: (0.589)(R 0.595, F 0.582)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.198] [G acc: 0.148]\n",
      "5032 [D loss: (0.603)(R 0.596, F 0.609)] [D acc: (0.672)(0.625, 0.719)] [G loss: 1.280] [G acc: 0.156]\n",
      "5033 [D loss: (0.562)(R 0.598, F 0.526)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.319] [G acc: 0.090]\n",
      "5034 [D loss: (0.583)(R 0.518, F 0.647)] [D acc: (0.713)(0.684, 0.742)] [G loss: 1.219] [G acc: 0.168]\n",
      "5035 [D loss: (0.579)(R 0.595, F 0.563)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.242] [G acc: 0.145]\n",
      "5036 [D loss: (0.596)(R 0.609, F 0.583)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.213] [G acc: 0.129]\n",
      "5037 [D loss: (0.616)(R 0.641, F 0.590)] [D acc: (0.652)(0.566, 0.738)] [G loss: 1.186] [G acc: 0.148]\n",
      "5038 [D loss: (0.564)(R 0.556, F 0.572)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.158] [G acc: 0.148]\n",
      "5039 [D loss: (0.582)(R 0.624, F 0.541)] [D acc: (0.666)(0.578, 0.754)] [G loss: 1.194] [G acc: 0.145]\n",
      "5040 [D loss: (0.560)(R 0.541, F 0.579)] [D acc: (0.678)(0.641, 0.715)] [G loss: 1.173] [G acc: 0.141]\n",
      "5041 [D loss: (0.557)(R 0.563, F 0.552)] [D acc: (0.713)(0.672, 0.754)] [G loss: 1.241] [G acc: 0.117]\n",
      "5042 [D loss: (0.571)(R 0.576, F 0.566)] [D acc: (0.713)(0.668, 0.758)] [G loss: 1.170] [G acc: 0.156]\n",
      "5043 [D loss: (0.587)(R 0.570, F 0.603)] [D acc: (0.705)(0.656, 0.754)] [G loss: 1.228] [G acc: 0.156]\n",
      "5044 [D loss: (0.580)(R 0.590, F 0.570)] [D acc: (0.689)(0.656, 0.723)] [G loss: 1.216] [G acc: 0.156]\n",
      "5045 [D loss: (0.586)(R 0.563, F 0.609)] [D acc: (0.682)(0.656, 0.707)] [G loss: 1.173] [G acc: 0.184]\n",
      "5046 [D loss: (0.573)(R 0.621, F 0.526)] [D acc: (0.705)(0.633, 0.777)] [G loss: 1.206] [G acc: 0.113]\n",
      "5047 [D loss: (0.612)(R 0.594, F 0.630)] [D acc: (0.646)(0.609, 0.684)] [G loss: 1.323] [G acc: 0.156]\n",
      "5048 [D loss: (0.647)(R 0.725, F 0.570)] [D acc: (0.658)(0.547, 0.770)] [G loss: 1.242] [G acc: 0.121]\n",
      "5049 [D loss: (0.556)(R 0.573, F 0.539)] [D acc: (0.697)(0.617, 0.777)] [G loss: 1.134] [G acc: 0.203]\n",
      "5050 [D loss: (0.592)(R 0.533, F 0.651)] [D acc: (0.670)(0.668, 0.672)] [G loss: 1.096] [G acc: 0.188]\n",
      "5051 [D loss: (0.608)(R 0.571, F 0.644)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.170] [G acc: 0.172]\n",
      "5052 [D loss: (0.592)(R 0.621, F 0.562)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.087] [G acc: 0.184]\n",
      "5053 [D loss: (0.625)(R 0.643, F 0.608)] [D acc: (0.643)(0.582, 0.703)] [G loss: 1.113] [G acc: 0.141]\n",
      "5054 [D loss: (0.597)(R 0.609, F 0.584)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.159] [G acc: 0.188]\n",
      "5055 [D loss: (0.593)(R 0.580, F 0.605)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.115] [G acc: 0.152]\n",
      "5056 [D loss: (0.596)(R 0.600, F 0.592)] [D acc: (0.676)(0.621, 0.730)] [G loss: 1.081] [G acc: 0.164]\n",
      "5057 [D loss: (0.614)(R 0.573, F 0.655)] [D acc: (0.646)(0.645, 0.648)] [G loss: 1.117] [G acc: 0.180]\n",
      "5058 [D loss: (0.592)(R 0.583, F 0.600)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.157] [G acc: 0.164]\n",
      "5059 [D loss: (0.594)(R 0.595, F 0.593)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.141] [G acc: 0.195]\n",
      "5060 [D loss: (0.598)(R 0.567, F 0.628)] [D acc: (0.670)(0.629, 0.711)] [G loss: 1.196] [G acc: 0.137]\n",
      "5061 [D loss: (0.572)(R 0.611, F 0.534)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.136] [G acc: 0.133]\n",
      "5062 [D loss: (0.577)(R 0.597, F 0.558)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.216] [G acc: 0.117]\n",
      "5063 [D loss: (0.568)(R 0.576, F 0.560)] [D acc: (0.707)(0.637, 0.777)] [G loss: 1.189] [G acc: 0.137]\n",
      "5064 [D loss: (0.565)(R 0.570, F 0.560)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.198] [G acc: 0.121]\n",
      "5065 [D loss: (0.614)(R 0.633, F 0.595)] [D acc: (0.662)(0.590, 0.734)] [G loss: 1.180] [G acc: 0.148]\n",
      "5066 [D loss: (0.588)(R 0.610, F 0.566)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.201] [G acc: 0.129]\n",
      "5067 [D loss: (0.601)(R 0.609, F 0.592)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.147] [G acc: 0.172]\n",
      "5068 [D loss: (0.570)(R 0.591, F 0.548)] [D acc: (0.715)(0.656, 0.773)] [G loss: 1.437] [G acc: 0.090]\n",
      "5069 [D loss: (0.736)(R 0.823, F 0.649)] [D acc: (0.582)(0.453, 0.711)] [G loss: 1.077] [G acc: 0.152]\n",
      "5070 [D loss: (0.606)(R 0.571, F 0.640)] [D acc: (0.668)(0.629, 0.707)] [G loss: 1.090] [G acc: 0.180]\n",
      "5071 [D loss: (0.574)(R 0.581, F 0.567)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.014] [G acc: 0.246]\n",
      "5072 [D loss: (0.602)(R 0.613, F 0.592)] [D acc: (0.660)(0.625, 0.695)] [G loss: 1.125] [G acc: 0.176]\n",
      "5073 [D loss: (0.576)(R 0.562, F 0.591)] [D acc: (0.707)(0.668, 0.746)] [G loss: 1.098] [G acc: 0.203]\n",
      "5074 [D loss: (0.614)(R 0.586, F 0.643)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.173] [G acc: 0.102]\n",
      "5075 [D loss: (0.593)(R 0.620, F 0.566)] [D acc: (0.678)(0.574, 0.781)] [G loss: 1.056] [G acc: 0.184]\n",
      "5076 [D loss: (0.621)(R 0.653, F 0.589)] [D acc: (0.658)(0.574, 0.742)] [G loss: 1.078] [G acc: 0.172]\n",
      "5077 [D loss: (0.600)(R 0.584, F 0.616)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.102] [G acc: 0.199]\n",
      "5078 [D loss: (0.603)(R 0.604, F 0.602)] [D acc: (0.654)(0.586, 0.723)] [G loss: 1.140] [G acc: 0.141]\n",
      "5079 [D loss: (0.574)(R 0.595, F 0.552)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.143] [G acc: 0.125]\n",
      "5080 [D loss: (0.576)(R 0.569, F 0.582)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.238] [G acc: 0.129]\n",
      "5081 [D loss: (0.553)(R 0.609, F 0.498)] [D acc: (0.719)(0.605, 0.832)] [G loss: 1.202] [G acc: 0.129]\n",
      "5082 [D loss: (0.600)(R 0.539, F 0.661)] [D acc: (0.668)(0.691, 0.645)] [G loss: 1.180] [G acc: 0.141]\n",
      "5083 [D loss: (0.612)(R 0.665, F 0.558)] [D acc: (0.668)(0.559, 0.777)] [G loss: 1.163] [G acc: 0.152]\n",
      "5084 [D loss: (0.619)(R 0.601, F 0.637)] [D acc: (0.646)(0.605, 0.688)] [G loss: 1.107] [G acc: 0.195]\n",
      "5085 [D loss: (0.556)(R 0.576, F 0.536)] [D acc: (0.717)(0.641, 0.793)] [G loss: 1.170] [G acc: 0.164]\n",
      "5086 [D loss: (0.559)(R 0.544, F 0.574)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.192] [G acc: 0.152]\n",
      "5087 [D loss: (0.530)(R 0.503, F 0.558)] [D acc: (0.744)(0.730, 0.758)] [G loss: 1.211] [G acc: 0.156]\n",
      "5088 [D loss: (0.588)(R 0.572, F 0.604)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.177] [G acc: 0.180]\n",
      "5089 [D loss: (0.545)(R 0.521, F 0.570)] [D acc: (0.719)(0.695, 0.742)] [G loss: 1.224] [G acc: 0.184]\n",
      "5090 [D loss: (0.603)(R 0.610, F 0.597)] [D acc: (0.670)(0.602, 0.738)] [G loss: 1.160] [G acc: 0.172]\n",
      "5091 [D loss: (0.612)(R 0.608, F 0.617)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.181] [G acc: 0.188]\n",
      "5092 [D loss: (0.591)(R 0.605, F 0.576)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.153] [G acc: 0.180]\n",
      "5093 [D loss: (0.610)(R 0.619, F 0.600)] [D acc: (0.658)(0.586, 0.730)] [G loss: 1.112] [G acc: 0.184]\n",
      "5094 [D loss: (0.607)(R 0.567, F 0.647)] [D acc: (0.652)(0.633, 0.672)] [G loss: 1.134] [G acc: 0.203]\n",
      "5095 [D loss: (0.590)(R 0.533, F 0.648)] [D acc: (0.670)(0.695, 0.645)] [G loss: 1.189] [G acc: 0.121]\n",
      "5096 [D loss: (0.565)(R 0.594, F 0.536)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.186] [G acc: 0.168]\n",
      "5097 [D loss: (0.563)(R 0.542, F 0.584)] [D acc: (0.709)(0.695, 0.723)] [G loss: 1.186] [G acc: 0.160]\n",
      "5098 [D loss: (0.614)(R 0.590, F 0.637)] [D acc: (0.674)(0.652, 0.695)] [G loss: 1.316] [G acc: 0.164]\n",
      "5099 [D loss: (0.566)(R 0.579, F 0.552)] [D acc: (0.711)(0.672, 0.750)] [G loss: 1.273] [G acc: 0.113]\n",
      "5100 [D loss: (0.567)(R 0.545, F 0.589)] [D acc: (0.699)(0.668, 0.730)] [G loss: 1.150] [G acc: 0.195]\n",
      "5101 [D loss: (0.585)(R 0.535, F 0.636)] [D acc: (0.684)(0.684, 0.684)] [G loss: 1.163] [G acc: 0.180]\n",
      "5102 [D loss: (0.572)(R 0.562, F 0.581)] [D acc: (0.688)(0.668, 0.707)] [G loss: 1.170] [G acc: 0.172]\n",
      "5103 [D loss: (0.572)(R 0.558, F 0.585)] [D acc: (0.721)(0.699, 0.742)] [G loss: 1.139] [G acc: 0.195]\n",
      "5104 [D loss: (0.585)(R 0.551, F 0.618)] [D acc: (0.689)(0.652, 0.727)] [G loss: 1.250] [G acc: 0.121]\n",
      "5105 [D loss: (0.581)(R 0.565, F 0.597)] [D acc: (0.707)(0.672, 0.742)] [G loss: 1.254] [G acc: 0.121]\n",
      "5106 [D loss: (0.555)(R 0.554, F 0.557)] [D acc: (0.736)(0.680, 0.793)] [G loss: 1.290] [G acc: 0.133]\n",
      "5107 [D loss: (0.597)(R 0.637, F 0.557)] [D acc: (0.678)(0.570, 0.785)] [G loss: 1.242] [G acc: 0.094]\n",
      "5108 [D loss: (0.612)(R 0.645, F 0.579)] [D acc: (0.650)(0.582, 0.719)] [G loss: 1.212] [G acc: 0.195]\n",
      "5109 [D loss: (0.587)(R 0.585, F 0.589)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.226] [G acc: 0.113]\n",
      "5110 [D loss: (0.597)(R 0.611, F 0.583)] [D acc: (0.674)(0.609, 0.738)] [G loss: 1.191] [G acc: 0.156]\n",
      "5111 [D loss: (0.569)(R 0.596, F 0.542)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.076] [G acc: 0.223]\n",
      "5112 [D loss: (0.600)(R 0.556, F 0.644)] [D acc: (0.680)(0.664, 0.695)] [G loss: 1.254] [G acc: 0.137]\n",
      "5113 [D loss: (0.584)(R 0.609, F 0.558)] [D acc: (0.701)(0.609, 0.793)] [G loss: 1.240] [G acc: 0.137]\n",
      "5114 [D loss: (0.580)(R 0.586, F 0.575)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.071] [G acc: 0.223]\n",
      "5115 [D loss: (0.585)(R 0.587, F 0.583)] [D acc: (0.682)(0.664, 0.699)] [G loss: 1.150] [G acc: 0.168]\n",
      "5116 [D loss: (0.562)(R 0.549, F 0.576)] [D acc: (0.709)(0.660, 0.758)] [G loss: 1.166] [G acc: 0.180]\n",
      "5117 [D loss: (0.567)(R 0.553, F 0.581)] [D acc: (0.674)(0.641, 0.707)] [G loss: 1.212] [G acc: 0.145]\n",
      "5118 [D loss: (0.582)(R 0.590, F 0.574)] [D acc: (0.695)(0.621, 0.770)] [G loss: 1.184] [G acc: 0.145]\n",
      "5119 [D loss: (0.577)(R 0.547, F 0.608)] [D acc: (0.695)(0.688, 0.703)] [G loss: 1.196] [G acc: 0.156]\n",
      "5120 [D loss: (0.596)(R 0.618, F 0.574)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.504] [G acc: 0.078]\n",
      "5121 [D loss: (0.725)(R 0.885, F 0.564)] [D acc: (0.607)(0.469, 0.746)] [G loss: 1.135] [G acc: 0.129]\n",
      "5122 [D loss: (0.601)(R 0.599, F 0.603)] [D acc: (0.680)(0.594, 0.766)] [G loss: 1.085] [G acc: 0.141]\n",
      "5123 [D loss: (0.620)(R 0.623, F 0.617)] [D acc: (0.664)(0.609, 0.719)] [G loss: 1.134] [G acc: 0.180]\n",
      "5124 [D loss: (0.582)(R 0.561, F 0.603)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.079] [G acc: 0.164]\n",
      "5125 [D loss: (0.582)(R 0.582, F 0.583)] [D acc: (0.689)(0.629, 0.750)] [G loss: 1.090] [G acc: 0.172]\n",
      "5126 [D loss: (0.624)(R 0.608, F 0.640)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.115] [G acc: 0.148]\n",
      "5127 [D loss: (0.587)(R 0.615, F 0.560)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.146] [G acc: 0.156]\n",
      "5128 [D loss: (0.586)(R 0.578, F 0.594)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.174] [G acc: 0.184]\n",
      "5129 [D loss: (0.574)(R 0.596, F 0.552)] [D acc: (0.723)(0.660, 0.785)] [G loss: 1.242] [G acc: 0.098]\n",
      "5130 [D loss: (0.601)(R 0.630, F 0.573)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.150] [G acc: 0.156]\n",
      "5131 [D loss: (0.595)(R 0.585, F 0.606)] [D acc: (0.672)(0.602, 0.742)] [G loss: 1.124] [G acc: 0.180]\n",
      "5132 [D loss: (0.576)(R 0.618, F 0.535)] [D acc: (0.695)(0.586, 0.805)] [G loss: 1.155] [G acc: 0.148]\n",
      "5133 [D loss: (0.576)(R 0.594, F 0.558)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.216] [G acc: 0.121]\n",
      "5134 [D loss: (0.600)(R 0.582, F 0.618)] [D acc: (0.670)(0.633, 0.707)] [G loss: 1.164] [G acc: 0.168]\n",
      "5135 [D loss: (0.565)(R 0.597, F 0.534)] [D acc: (0.715)(0.633, 0.797)] [G loss: 1.175] [G acc: 0.156]\n",
      "5136 [D loss: (0.585)(R 0.586, F 0.584)] [D acc: (0.684)(0.605, 0.762)] [G loss: 1.125] [G acc: 0.160]\n",
      "5137 [D loss: (0.566)(R 0.561, F 0.572)] [D acc: (0.725)(0.664, 0.785)] [G loss: 1.121] [G acc: 0.152]\n",
      "5138 [D loss: (0.596)(R 0.560, F 0.633)] [D acc: (0.689)(0.645, 0.734)] [G loss: 1.116] [G acc: 0.180]\n",
      "5139 [D loss: (0.525)(R 0.510, F 0.540)] [D acc: (0.734)(0.719, 0.750)] [G loss: 1.172] [G acc: 0.172]\n",
      "5140 [D loss: (0.561)(R 0.540, F 0.582)] [D acc: (0.711)(0.691, 0.730)] [G loss: 1.195] [G acc: 0.188]\n",
      "5141 [D loss: (0.560)(R 0.567, F 0.552)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.145] [G acc: 0.188]\n",
      "5142 [D loss: (0.585)(R 0.617, F 0.554)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.107] [G acc: 0.180]\n",
      "5143 [D loss: (0.583)(R 0.617, F 0.549)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.222] [G acc: 0.160]\n",
      "5144 [D loss: (0.592)(R 0.562, F 0.622)] [D acc: (0.701)(0.680, 0.723)] [G loss: 1.261] [G acc: 0.203]\n",
      "5145 [D loss: (0.550)(R 0.591, F 0.510)] [D acc: (0.719)(0.645, 0.793)] [G loss: 1.259] [G acc: 0.125]\n",
      "5146 [D loss: (0.623)(R 0.541, F 0.706)] [D acc: (0.666)(0.672, 0.660)] [G loss: 1.331] [G acc: 0.109]\n",
      "5147 [D loss: (0.569)(R 0.632, F 0.506)] [D acc: (0.709)(0.594, 0.824)] [G loss: 1.358] [G acc: 0.094]\n",
      "5148 [D loss: (0.634)(R 0.641, F 0.628)] [D acc: (0.637)(0.594, 0.680)] [G loss: 1.219] [G acc: 0.176]\n",
      "5149 [D loss: (0.607)(R 0.601, F 0.613)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.172] [G acc: 0.152]\n",
      "5150 [D loss: (0.595)(R 0.632, F 0.558)] [D acc: (0.662)(0.566, 0.758)] [G loss: 1.172] [G acc: 0.180]\n",
      "5151 [D loss: (0.609)(R 0.641, F 0.576)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.103] [G acc: 0.172]\n",
      "5152 [D loss: (0.560)(R 0.526, F 0.594)] [D acc: (0.713)(0.680, 0.746)] [G loss: 1.148] [G acc: 0.168]\n",
      "5153 [D loss: (0.565)(R 0.574, F 0.556)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.182] [G acc: 0.133]\n",
      "5154 [D loss: (0.555)(R 0.556, F 0.554)] [D acc: (0.693)(0.645, 0.742)] [G loss: 1.198] [G acc: 0.176]\n",
      "5155 [D loss: (0.566)(R 0.616, F 0.515)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.205] [G acc: 0.117]\n",
      "5156 [D loss: (0.596)(R 0.540, F 0.653)] [D acc: (0.697)(0.672, 0.723)] [G loss: 1.169] [G acc: 0.184]\n",
      "5157 [D loss: (0.575)(R 0.564, F 0.585)] [D acc: (0.717)(0.707, 0.727)] [G loss: 1.181] [G acc: 0.164]\n",
      "5158 [D loss: (0.577)(R 0.564, F 0.591)] [D acc: (0.705)(0.676, 0.734)] [G loss: 1.250] [G acc: 0.152]\n",
      "5159 [D loss: (0.534)(R 0.580, F 0.488)] [D acc: (0.742)(0.660, 0.824)] [G loss: 1.271] [G acc: 0.113]\n",
      "5160 [D loss: (0.612)(R 0.579, F 0.646)] [D acc: (0.676)(0.629, 0.723)] [G loss: 1.099] [G acc: 0.176]\n",
      "5161 [D loss: (0.614)(R 0.559, F 0.669)] [D acc: (0.676)(0.645, 0.707)] [G loss: 1.161] [G acc: 0.215]\n",
      "5162 [D loss: (0.567)(R 0.555, F 0.578)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.202] [G acc: 0.125]\n",
      "5163 [D loss: (0.587)(R 0.609, F 0.564)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.154] [G acc: 0.172]\n",
      "5164 [D loss: (0.613)(R 0.625, F 0.600)] [D acc: (0.650)(0.594, 0.707)] [G loss: 1.139] [G acc: 0.160]\n",
      "5165 [D loss: (0.552)(R 0.563, F 0.540)] [D acc: (0.719)(0.648, 0.789)] [G loss: 1.249] [G acc: 0.125]\n",
      "5166 [D loss: (0.570)(R 0.550, F 0.591)] [D acc: (0.715)(0.664, 0.766)] [G loss: 1.175] [G acc: 0.156]\n",
      "5167 [D loss: (0.563)(R 0.610, F 0.515)] [D acc: (0.701)(0.602, 0.801)] [G loss: 1.331] [G acc: 0.086]\n",
      "5168 [D loss: (0.616)(R 0.608, F 0.624)] [D acc: (0.664)(0.609, 0.719)] [G loss: 1.224] [G acc: 0.141]\n",
      "5169 [D loss: (0.580)(R 0.564, F 0.596)] [D acc: (0.688)(0.656, 0.719)] [G loss: 1.204] [G acc: 0.164]\n",
      "5170 [D loss: (0.616)(R 0.599, F 0.633)] [D acc: (0.668)(0.625, 0.711)] [G loss: 1.124] [G acc: 0.188]\n",
      "5171 [D loss: (0.562)(R 0.556, F 0.568)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.152] [G acc: 0.191]\n",
      "5172 [D loss: (0.594)(R 0.598, F 0.590)] [D acc: (0.682)(0.605, 0.758)] [G loss: 1.244] [G acc: 0.121]\n",
      "5173 [D loss: (0.556)(R 0.587, F 0.524)] [D acc: (0.715)(0.613, 0.816)] [G loss: 1.233] [G acc: 0.137]\n",
      "5174 [D loss: (0.538)(R 0.547, F 0.529)] [D acc: (0.727)(0.660, 0.793)] [G loss: 1.257] [G acc: 0.148]\n",
      "5175 [D loss: (0.613)(R 0.625, F 0.601)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.243] [G acc: 0.148]\n",
      "5176 [D loss: (0.594)(R 0.613, F 0.575)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.236] [G acc: 0.141]\n",
      "5177 [D loss: (0.576)(R 0.592, F 0.560)] [D acc: (0.705)(0.641, 0.770)] [G loss: 1.207] [G acc: 0.137]\n",
      "5178 [D loss: (0.587)(R 0.594, F 0.579)] [D acc: (0.693)(0.637, 0.750)] [G loss: 1.229] [G acc: 0.160]\n",
      "5179 [D loss: (0.633)(R 0.615, F 0.652)] [D acc: (0.650)(0.621, 0.680)] [G loss: 1.172] [G acc: 0.176]\n",
      "5180 [D loss: (0.605)(R 0.553, F 0.658)] [D acc: (0.670)(0.641, 0.699)] [G loss: 1.188] [G acc: 0.145]\n",
      "5181 [D loss: (0.567)(R 0.582, F 0.552)] [D acc: (0.701)(0.625, 0.777)] [G loss: 1.177] [G acc: 0.133]\n",
      "5182 [D loss: (0.589)(R 0.615, F 0.563)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.124] [G acc: 0.164]\n",
      "5183 [D loss: (0.582)(R 0.553, F 0.612)] [D acc: (0.709)(0.684, 0.734)] [G loss: 1.219] [G acc: 0.133]\n",
      "5184 [D loss: (0.608)(R 0.615, F 0.600)] [D acc: (0.643)(0.574, 0.711)] [G loss: 1.334] [G acc: 0.133]\n",
      "5185 [D loss: (0.649)(R 0.792, F 0.507)] [D acc: (0.662)(0.516, 0.809)] [G loss: 1.273] [G acc: 0.094]\n",
      "5186 [D loss: (0.592)(R 0.587, F 0.597)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.197] [G acc: 0.137]\n",
      "5187 [D loss: (0.576)(R 0.565, F 0.587)] [D acc: (0.719)(0.656, 0.781)] [G loss: 1.222] [G acc: 0.145]\n",
      "5188 [D loss: (0.570)(R 0.554, F 0.587)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.175] [G acc: 0.133]\n",
      "5189 [D loss: (0.581)(R 0.604, F 0.557)] [D acc: (0.709)(0.629, 0.789)] [G loss: 1.185] [G acc: 0.145]\n",
      "5190 [D loss: (0.596)(R 0.571, F 0.621)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.187] [G acc: 0.102]\n",
      "5191 [D loss: (0.555)(R 0.559, F 0.551)] [D acc: (0.701)(0.668, 0.734)] [G loss: 1.173] [G acc: 0.137]\n",
      "5192 [D loss: (0.580)(R 0.642, F 0.518)] [D acc: (0.684)(0.570, 0.797)] [G loss: 1.205] [G acc: 0.125]\n",
      "5193 [D loss: (0.591)(R 0.582, F 0.600)] [D acc: (0.676)(0.641, 0.711)] [G loss: 1.183] [G acc: 0.164]\n",
      "5194 [D loss: (0.578)(R 0.574, F 0.583)] [D acc: (0.688)(0.656, 0.719)] [G loss: 1.111] [G acc: 0.176]\n",
      "5195 [D loss: (0.611)(R 0.574, F 0.647)] [D acc: (0.660)(0.629, 0.691)] [G loss: 1.115] [G acc: 0.168]\n",
      "5196 [D loss: (0.614)(R 0.603, F 0.626)] [D acc: (0.652)(0.609, 0.695)] [G loss: 1.158] [G acc: 0.164]\n",
      "5197 [D loss: (0.612)(R 0.624, F 0.599)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.180] [G acc: 0.145]\n",
      "5198 [D loss: (0.607)(R 0.618, F 0.596)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.100] [G acc: 0.238]\n",
      "5199 [D loss: (0.591)(R 0.631, F 0.552)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.111] [G acc: 0.172]\n",
      "5200 [D loss: (0.608)(R 0.633, F 0.583)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.190] [G acc: 0.160]\n",
      "5201 [D loss: (0.573)(R 0.570, F 0.577)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.195] [G acc: 0.105]\n",
      "5202 [D loss: (0.586)(R 0.571, F 0.600)] [D acc: (0.688)(0.660, 0.715)] [G loss: 1.135] [G acc: 0.184]\n",
      "5203 [D loss: (0.599)(R 0.612, F 0.587)] [D acc: (0.666)(0.582, 0.750)] [G loss: 1.187] [G acc: 0.109]\n",
      "5204 [D loss: (0.579)(R 0.559, F 0.598)] [D acc: (0.689)(0.676, 0.703)] [G loss: 1.119] [G acc: 0.184]\n",
      "5205 [D loss: (0.596)(R 0.606, F 0.585)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.128] [G acc: 0.156]\n",
      "5206 [D loss: (0.615)(R 0.632, F 0.598)] [D acc: (0.654)(0.582, 0.727)] [G loss: 1.195] [G acc: 0.133]\n",
      "5207 [D loss: (0.566)(R 0.570, F 0.561)] [D acc: (0.711)(0.648, 0.773)] [G loss: 1.175] [G acc: 0.145]\n",
      "5208 [D loss: (0.528)(R 0.498, F 0.557)] [D acc: (0.742)(0.719, 0.766)] [G loss: 1.208] [G acc: 0.152]\n",
      "5209 [D loss: (0.587)(R 0.581, F 0.593)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.241] [G acc: 0.113]\n",
      "5210 [D loss: (0.568)(R 0.596, F 0.540)] [D acc: (0.688)(0.625, 0.750)] [G loss: 1.291] [G acc: 0.117]\n",
      "5211 [D loss: (0.583)(R 0.621, F 0.545)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.221] [G acc: 0.133]\n",
      "5212 [D loss: (0.571)(R 0.540, F 0.603)] [D acc: (0.717)(0.691, 0.742)] [G loss: 1.179] [G acc: 0.164]\n",
      "5213 [D loss: (0.582)(R 0.595, F 0.569)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.160] [G acc: 0.180]\n",
      "5214 [D loss: (0.616)(R 0.601, F 0.631)] [D acc: (0.674)(0.613, 0.734)] [G loss: 1.095] [G acc: 0.230]\n",
      "5215 [D loss: (0.603)(R 0.582, F 0.623)] [D acc: (0.678)(0.664, 0.691)] [G loss: 1.142] [G acc: 0.172]\n",
      "5216 [D loss: (0.582)(R 0.603, F 0.561)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.144] [G acc: 0.172]\n",
      "5217 [D loss: (0.579)(R 0.619, F 0.539)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.160] [G acc: 0.195]\n",
      "5218 [D loss: (0.594)(R 0.621, F 0.568)] [D acc: (0.691)(0.609, 0.773)] [G loss: 1.199] [G acc: 0.109]\n",
      "5219 [D loss: (0.559)(R 0.530, F 0.588)] [D acc: (0.699)(0.680, 0.719)] [G loss: 1.228] [G acc: 0.141]\n",
      "5220 [D loss: (0.568)(R 0.569, F 0.568)] [D acc: (0.697)(0.664, 0.730)] [G loss: 1.212] [G acc: 0.125]\n",
      "5221 [D loss: (0.583)(R 0.601, F 0.566)] [D acc: (0.715)(0.652, 0.777)] [G loss: 1.160] [G acc: 0.145]\n",
      "5222 [D loss: (0.572)(R 0.534, F 0.610)] [D acc: (0.695)(0.680, 0.711)] [G loss: 1.089] [G acc: 0.168]\n",
      "5223 [D loss: (0.543)(R 0.545, F 0.540)] [D acc: (0.758)(0.711, 0.805)] [G loss: 1.202] [G acc: 0.160]\n",
      "5224 [D loss: (0.591)(R 0.567, F 0.616)] [D acc: (0.668)(0.648, 0.688)] [G loss: 1.195] [G acc: 0.141]\n",
      "5225 [D loss: (0.559)(R 0.535, F 0.582)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.171] [G acc: 0.137]\n",
      "5226 [D loss: (0.585)(R 0.590, F 0.580)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.198] [G acc: 0.172]\n",
      "5227 [D loss: (0.613)(R 0.635, F 0.592)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.155] [G acc: 0.121]\n",
      "5228 [D loss: (0.587)(R 0.565, F 0.610)] [D acc: (0.695)(0.672, 0.719)] [G loss: 1.234] [G acc: 0.117]\n",
      "5229 [D loss: (0.587)(R 0.586, F 0.588)] [D acc: (0.691)(0.656, 0.727)] [G loss: 1.185] [G acc: 0.137]\n",
      "5230 [D loss: (0.555)(R 0.582, F 0.528)] [D acc: (0.713)(0.652, 0.773)] [G loss: 1.124] [G acc: 0.164]\n",
      "5231 [D loss: (0.568)(R 0.557, F 0.579)] [D acc: (0.703)(0.676, 0.730)] [G loss: 1.195] [G acc: 0.145]\n",
      "5232 [D loss: (0.548)(R 0.545, F 0.552)] [D acc: (0.721)(0.688, 0.754)] [G loss: 1.206] [G acc: 0.168]\n",
      "5233 [D loss: (0.513)(R 0.523, F 0.502)] [D acc: (0.750)(0.691, 0.809)] [G loss: 1.250] [G acc: 0.125]\n",
      "5234 [D loss: (0.560)(R 0.558, F 0.563)] [D acc: (0.715)(0.680, 0.750)] [G loss: 1.170] [G acc: 0.203]\n",
      "5235 [D loss: (0.592)(R 0.594, F 0.590)] [D acc: (0.656)(0.598, 0.715)] [G loss: 1.218] [G acc: 0.141]\n",
      "5236 [D loss: (0.549)(R 0.560, F 0.538)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.312] [G acc: 0.129]\n",
      "5237 [D loss: (0.563)(R 0.588, F 0.538)] [D acc: (0.721)(0.648, 0.793)] [G loss: 1.373] [G acc: 0.105]\n",
      "5238 [D loss: (0.606)(R 0.601, F 0.610)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.177] [G acc: 0.176]\n",
      "5239 [D loss: (0.593)(R 0.594, F 0.592)] [D acc: (0.691)(0.660, 0.723)] [G loss: 1.183] [G acc: 0.152]\n",
      "5240 [D loss: (0.573)(R 0.602, F 0.544)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.141] [G acc: 0.164]\n",
      "5241 [D loss: (0.600)(R 0.599, F 0.600)] [D acc: (0.664)(0.613, 0.715)] [G loss: 1.095] [G acc: 0.238]\n",
      "5242 [D loss: (0.578)(R 0.548, F 0.608)] [D acc: (0.703)(0.703, 0.703)] [G loss: 1.165] [G acc: 0.191]\n",
      "5243 [D loss: (0.566)(R 0.588, F 0.545)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.163] [G acc: 0.160]\n",
      "5244 [D loss: (0.632)(R 0.636, F 0.628)] [D acc: (0.645)(0.574, 0.715)] [G loss: 1.193] [G acc: 0.156]\n",
      "5245 [D loss: (0.609)(R 0.641, F 0.577)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.132] [G acc: 0.195]\n",
      "5246 [D loss: (0.594)(R 0.593, F 0.595)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.116] [G acc: 0.207]\n",
      "5247 [D loss: (0.591)(R 0.586, F 0.595)] [D acc: (0.670)(0.613, 0.727)] [G loss: 1.119] [G acc: 0.180]\n",
      "5248 [D loss: (0.606)(R 0.633, F 0.580)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.131] [G acc: 0.191]\n",
      "5249 [D loss: (0.609)(R 0.585, F 0.633)] [D acc: (0.654)(0.629, 0.680)] [G loss: 1.163] [G acc: 0.137]\n",
      "5250 [D loss: (0.592)(R 0.604, F 0.579)] [D acc: (0.701)(0.633, 0.770)] [G loss: 1.194] [G acc: 0.164]\n",
      "5251 [D loss: (0.556)(R 0.556, F 0.555)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.293] [G acc: 0.098]\n",
      "5252 [D loss: (0.637)(R 0.628, F 0.646)] [D acc: (0.662)(0.609, 0.715)] [G loss: 1.122] [G acc: 0.164]\n",
      "5253 [D loss: (0.609)(R 0.623, F 0.596)] [D acc: (0.660)(0.574, 0.746)] [G loss: 1.073] [G acc: 0.207]\n",
      "5254 [D loss: (0.625)(R 0.646, F 0.605)] [D acc: (0.674)(0.598, 0.750)] [G loss: 1.099] [G acc: 0.176]\n",
      "5255 [D loss: (0.579)(R 0.571, F 0.587)] [D acc: (0.703)(0.645, 0.762)] [G loss: 1.186] [G acc: 0.172]\n",
      "5256 [D loss: (0.562)(R 0.532, F 0.592)] [D acc: (0.717)(0.699, 0.734)] [G loss: 1.153] [G acc: 0.176]\n",
      "5257 [D loss: (0.598)(R 0.578, F 0.618)] [D acc: (0.678)(0.676, 0.680)] [G loss: 1.153] [G acc: 0.168]\n",
      "5258 [D loss: (0.598)(R 0.603, F 0.592)] [D acc: (0.662)(0.613, 0.711)] [G loss: 1.100] [G acc: 0.152]\n",
      "5259 [D loss: (0.588)(R 0.603, F 0.573)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.237] [G acc: 0.141]\n",
      "5260 [D loss: (0.554)(R 0.589, F 0.519)] [D acc: (0.721)(0.629, 0.812)] [G loss: 1.342] [G acc: 0.125]\n",
      "5261 [D loss: (0.581)(R 0.602, F 0.559)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.127] [G acc: 0.203]\n",
      "5262 [D loss: (0.566)(R 0.552, F 0.580)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.189] [G acc: 0.168]\n",
      "5263 [D loss: (0.612)(R 0.592, F 0.632)] [D acc: (0.641)(0.609, 0.672)] [G loss: 1.134] [G acc: 0.207]\n",
      "5264 [D loss: (0.586)(R 0.618, F 0.554)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.187] [G acc: 0.137]\n",
      "5265 [D loss: (0.600)(R 0.570, F 0.631)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.282] [G acc: 0.121]\n",
      "5266 [D loss: (0.585)(R 0.616, F 0.555)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.187] [G acc: 0.180]\n",
      "5267 [D loss: (0.578)(R 0.592, F 0.563)] [D acc: (0.662)(0.605, 0.719)] [G loss: 1.164] [G acc: 0.133]\n",
      "5268 [D loss: (0.589)(R 0.597, F 0.580)] [D acc: (0.666)(0.633, 0.699)] [G loss: 1.181] [G acc: 0.164]\n",
      "5269 [D loss: (0.579)(R 0.615, F 0.543)] [D acc: (0.691)(0.574, 0.809)] [G loss: 1.311] [G acc: 0.102]\n",
      "5270 [D loss: (0.622)(R 0.629, F 0.615)] [D acc: (0.637)(0.574, 0.699)] [G loss: 1.163] [G acc: 0.129]\n",
      "5271 [D loss: (0.590)(R 0.603, F 0.578)] [D acc: (0.689)(0.633, 0.746)] [G loss: 1.139] [G acc: 0.164]\n",
      "5272 [D loss: (0.583)(R 0.569, F 0.597)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.148] [G acc: 0.168]\n",
      "5273 [D loss: (0.591)(R 0.600, F 0.582)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.176] [G acc: 0.176]\n",
      "5274 [D loss: (0.570)(R 0.591, F 0.550)] [D acc: (0.689)(0.641, 0.738)] [G loss: 1.224] [G acc: 0.156]\n",
      "5275 [D loss: (0.570)(R 0.568, F 0.572)] [D acc: (0.682)(0.633, 0.730)] [G loss: 1.097] [G acc: 0.191]\n",
      "5276 [D loss: (0.561)(R 0.570, F 0.552)] [D acc: (0.713)(0.648, 0.777)] [G loss: 1.118] [G acc: 0.164]\n",
      "5277 [D loss: (0.590)(R 0.522, F 0.658)] [D acc: (0.701)(0.695, 0.707)] [G loss: 1.169] [G acc: 0.164]\n",
      "5278 [D loss: (0.555)(R 0.584, F 0.526)] [D acc: (0.701)(0.613, 0.789)] [G loss: 1.161] [G acc: 0.164]\n",
      "5279 [D loss: (0.588)(R 0.570, F 0.607)] [D acc: (0.676)(0.645, 0.707)] [G loss: 1.211] [G acc: 0.129]\n",
      "5280 [D loss: (0.605)(R 0.637, F 0.572)] [D acc: (0.672)(0.578, 0.766)] [G loss: 1.157] [G acc: 0.172]\n",
      "5281 [D loss: (0.603)(R 0.564, F 0.641)] [D acc: (0.682)(0.652, 0.711)] [G loss: 1.141] [G acc: 0.180]\n",
      "5282 [D loss: (0.585)(R 0.604, F 0.566)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.206] [G acc: 0.109]\n",
      "5283 [D loss: (0.583)(R 0.604, F 0.562)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.217] [G acc: 0.121]\n",
      "5284 [D loss: (0.573)(R 0.595, F 0.550)] [D acc: (0.709)(0.645, 0.773)] [G loss: 1.208] [G acc: 0.117]\n",
      "5285 [D loss: (0.599)(R 0.617, F 0.581)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.160] [G acc: 0.184]\n",
      "5286 [D loss: (0.575)(R 0.559, F 0.591)] [D acc: (0.719)(0.684, 0.754)] [G loss: 1.171] [G acc: 0.141]\n",
      "5287 [D loss: (0.587)(R 0.607, F 0.567)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.181] [G acc: 0.145]\n",
      "5288 [D loss: (0.548)(R 0.522, F 0.574)] [D acc: (0.738)(0.672, 0.805)] [G loss: 1.169] [G acc: 0.125]\n",
      "5289 [D loss: (0.551)(R 0.557, F 0.545)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.125] [G acc: 0.152]\n",
      "5290 [D loss: (0.567)(R 0.541, F 0.592)] [D acc: (0.689)(0.656, 0.723)] [G loss: 1.130] [G acc: 0.184]\n",
      "5291 [D loss: (0.565)(R 0.549, F 0.582)] [D acc: (0.713)(0.688, 0.738)] [G loss: 1.139] [G acc: 0.184]\n",
      "5292 [D loss: (0.579)(R 0.610, F 0.547)] [D acc: (0.670)(0.602, 0.738)] [G loss: 1.186] [G acc: 0.156]\n",
      "5293 [D loss: (0.606)(R 0.598, F 0.614)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.180] [G acc: 0.133]\n",
      "5294 [D loss: (0.561)(R 0.563, F 0.560)] [D acc: (0.727)(0.680, 0.773)] [G loss: 1.220] [G acc: 0.148]\n",
      "5295 [D loss: (0.645)(R 0.634, F 0.656)] [D acc: (0.648)(0.613, 0.684)] [G loss: 1.247] [G acc: 0.148]\n",
      "5296 [D loss: (0.566)(R 0.564, F 0.569)] [D acc: (0.701)(0.629, 0.773)] [G loss: 1.248] [G acc: 0.105]\n",
      "5297 [D loss: (0.573)(R 0.580, F 0.566)] [D acc: (0.688)(0.633, 0.742)] [G loss: 1.129] [G acc: 0.180]\n",
      "5298 [D loss: (0.594)(R 0.642, F 0.546)] [D acc: (0.670)(0.582, 0.758)] [G loss: 1.156] [G acc: 0.152]\n",
      "5299 [D loss: (0.615)(R 0.617, F 0.614)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.112] [G acc: 0.215]\n",
      "5300 [D loss: (0.591)(R 0.624, F 0.558)] [D acc: (0.680)(0.574, 0.785)] [G loss: 1.156] [G acc: 0.152]\n",
      "5301 [D loss: (0.568)(R 0.586, F 0.550)] [D acc: (0.686)(0.621, 0.750)] [G loss: 1.138] [G acc: 0.152]\n",
      "5302 [D loss: (0.613)(R 0.593, F 0.632)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.191] [G acc: 0.148]\n",
      "5303 [D loss: (0.576)(R 0.624, F 0.527)] [D acc: (0.709)(0.594, 0.824)] [G loss: 1.106] [G acc: 0.191]\n",
      "5304 [D loss: (0.574)(R 0.567, F 0.582)] [D acc: (0.689)(0.641, 0.738)] [G loss: 1.177] [G acc: 0.188]\n",
      "5305 [D loss: (0.597)(R 0.573, F 0.621)] [D acc: (0.678)(0.648, 0.707)] [G loss: 1.223] [G acc: 0.145]\n",
      "5306 [D loss: (0.600)(R 0.605, F 0.595)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.238] [G acc: 0.113]\n",
      "5307 [D loss: (0.585)(R 0.608, F 0.562)] [D acc: (0.701)(0.641, 0.762)] [G loss: 1.161] [G acc: 0.152]\n",
      "5308 [D loss: (0.550)(R 0.573, F 0.527)] [D acc: (0.725)(0.648, 0.801)] [G loss: 1.182] [G acc: 0.117]\n",
      "5309 [D loss: (0.551)(R 0.542, F 0.561)] [D acc: (0.727)(0.680, 0.773)] [G loss: 1.152] [G acc: 0.184]\n",
      "5310 [D loss: (0.564)(R 0.578, F 0.551)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.218] [G acc: 0.137]\n",
      "5311 [D loss: (0.584)(R 0.585, F 0.583)] [D acc: (0.711)(0.680, 0.742)] [G loss: 1.190] [G acc: 0.156]\n",
      "5312 [D loss: (0.592)(R 0.566, F 0.617)] [D acc: (0.668)(0.629, 0.707)] [G loss: 1.143] [G acc: 0.168]\n",
      "5313 [D loss: (0.602)(R 0.580, F 0.625)] [D acc: (0.664)(0.645, 0.684)] [G loss: 1.257] [G acc: 0.145]\n",
      "5314 [D loss: (0.591)(R 0.618, F 0.565)] [D acc: (0.660)(0.562, 0.758)] [G loss: 1.264] [G acc: 0.125]\n",
      "5315 [D loss: (0.595)(R 0.578, F 0.611)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.183] [G acc: 0.164]\n",
      "5316 [D loss: (0.600)(R 0.636, F 0.564)] [D acc: (0.678)(0.629, 0.727)] [G loss: 1.103] [G acc: 0.180]\n",
      "5317 [D loss: (0.591)(R 0.576, F 0.607)] [D acc: (0.658)(0.602, 0.715)] [G loss: 1.178] [G acc: 0.121]\n",
      "5318 [D loss: (0.579)(R 0.586, F 0.572)] [D acc: (0.688)(0.625, 0.750)] [G loss: 1.125] [G acc: 0.168]\n",
      "5319 [D loss: (0.604)(R 0.570, F 0.639)] [D acc: (0.705)(0.684, 0.727)] [G loss: 1.215] [G acc: 0.148]\n",
      "5320 [D loss: (0.581)(R 0.577, F 0.586)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.207] [G acc: 0.129]\n",
      "5321 [D loss: (0.543)(R 0.551, F 0.535)] [D acc: (0.734)(0.695, 0.773)] [G loss: 1.158] [G acc: 0.156]\n",
      "5322 [D loss: (0.539)(R 0.529, F 0.550)] [D acc: (0.727)(0.664, 0.789)] [G loss: 1.205] [G acc: 0.129]\n",
      "5323 [D loss: (0.628)(R 0.633, F 0.623)] [D acc: (0.637)(0.586, 0.688)] [G loss: 1.207] [G acc: 0.129]\n",
      "5324 [D loss: (0.562)(R 0.571, F 0.553)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.264] [G acc: 0.137]\n",
      "5325 [D loss: (0.560)(R 0.536, F 0.583)] [D acc: (0.701)(0.656, 0.746)] [G loss: 1.198] [G acc: 0.160]\n",
      "5326 [D loss: (0.534)(R 0.545, F 0.523)] [D acc: (0.730)(0.664, 0.797)] [G loss: 1.149] [G acc: 0.195]\n",
      "5327 [D loss: (0.586)(R 0.517, F 0.655)] [D acc: (0.695)(0.676, 0.715)] [G loss: 1.225] [G acc: 0.164]\n",
      "5328 [D loss: (0.569)(R 0.573, F 0.564)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.254] [G acc: 0.113]\n",
      "5329 [D loss: (0.594)(R 0.612, F 0.576)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.192] [G acc: 0.195]\n",
      "5330 [D loss: (0.559)(R 0.607, F 0.511)] [D acc: (0.691)(0.578, 0.805)] [G loss: 1.241] [G acc: 0.156]\n",
      "5331 [D loss: (0.557)(R 0.546, F 0.569)] [D acc: (0.705)(0.656, 0.754)] [G loss: 1.316] [G acc: 0.148]\n",
      "5332 [D loss: (0.573)(R 0.624, F 0.522)] [D acc: (0.695)(0.605, 0.785)] [G loss: 1.313] [G acc: 0.121]\n",
      "5333 [D loss: (0.560)(R 0.589, F 0.532)] [D acc: (0.705)(0.598, 0.812)] [G loss: 1.266] [G acc: 0.113]\n",
      "5334 [D loss: (0.571)(R 0.610, F 0.532)] [D acc: (0.691)(0.602, 0.781)] [G loss: 1.260] [G acc: 0.156]\n",
      "5335 [D loss: (0.553)(R 0.531, F 0.574)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.235] [G acc: 0.152]\n",
      "5336 [D loss: (0.579)(R 0.571, F 0.587)] [D acc: (0.684)(0.629, 0.738)] [G loss: 1.244] [G acc: 0.141]\n",
      "5337 [D loss: (0.575)(R 0.551, F 0.598)] [D acc: (0.695)(0.652, 0.738)] [G loss: 1.319] [G acc: 0.094]\n",
      "5338 [D loss: (0.610)(R 0.643, F 0.578)] [D acc: (0.650)(0.570, 0.730)] [G loss: 1.254] [G acc: 0.109]\n",
      "5339 [D loss: (0.593)(R 0.610, F 0.577)] [D acc: (0.707)(0.668, 0.746)] [G loss: 1.163] [G acc: 0.145]\n",
      "5340 [D loss: (0.597)(R 0.597, F 0.597)] [D acc: (0.689)(0.605, 0.773)] [G loss: 1.145] [G acc: 0.168]\n",
      "5341 [D loss: (0.618)(R 0.598, F 0.638)] [D acc: (0.680)(0.648, 0.711)] [G loss: 1.154] [G acc: 0.145]\n",
      "5342 [D loss: (0.585)(R 0.586, F 0.584)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.150] [G acc: 0.176]\n",
      "5343 [D loss: (0.556)(R 0.561, F 0.552)] [D acc: (0.725)(0.652, 0.797)] [G loss: 1.212] [G acc: 0.152]\n",
      "5344 [D loss: (0.579)(R 0.573, F 0.585)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.222] [G acc: 0.137]\n",
      "5345 [D loss: (0.578)(R 0.578, F 0.579)] [D acc: (0.686)(0.645, 0.727)] [G loss: 1.185] [G acc: 0.168]\n",
      "5346 [D loss: (0.598)(R 0.583, F 0.614)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.155] [G acc: 0.129]\n",
      "5347 [D loss: (0.534)(R 0.548, F 0.521)] [D acc: (0.742)(0.684, 0.801)] [G loss: 1.206] [G acc: 0.121]\n",
      "5348 [D loss: (0.622)(R 0.639, F 0.605)] [D acc: (0.633)(0.555, 0.711)] [G loss: 1.132] [G acc: 0.188]\n",
      "5349 [D loss: (0.563)(R 0.575, F 0.551)] [D acc: (0.678)(0.617, 0.738)] [G loss: 1.184] [G acc: 0.105]\n",
      "5350 [D loss: (0.585)(R 0.618, F 0.551)] [D acc: (0.674)(0.594, 0.754)] [G loss: 1.236] [G acc: 0.145]\n",
      "5351 [D loss: (0.571)(R 0.569, F 0.574)] [D acc: (0.676)(0.656, 0.695)] [G loss: 1.247] [G acc: 0.105]\n",
      "5352 [D loss: (0.598)(R 0.614, F 0.582)] [D acc: (0.648)(0.594, 0.703)] [G loss: 1.243] [G acc: 0.078]\n",
      "5353 [D loss: (0.578)(R 0.579, F 0.577)] [D acc: (0.668)(0.598, 0.738)] [G loss: 1.091] [G acc: 0.207]\n",
      "5354 [D loss: (0.600)(R 0.579, F 0.621)] [D acc: (0.676)(0.633, 0.719)] [G loss: 1.136] [G acc: 0.141]\n",
      "5355 [D loss: (0.598)(R 0.636, F 0.561)] [D acc: (0.660)(0.551, 0.770)] [G loss: 1.151] [G acc: 0.156]\n",
      "5356 [D loss: (0.581)(R 0.602, F 0.561)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.223] [G acc: 0.141]\n",
      "5357 [D loss: (0.575)(R 0.617, F 0.534)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.204] [G acc: 0.168]\n",
      "5358 [D loss: (0.559)(R 0.545, F 0.572)] [D acc: (0.727)(0.688, 0.766)] [G loss: 1.362] [G acc: 0.074]\n",
      "5359 [D loss: (0.603)(R 0.627, F 0.579)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.202] [G acc: 0.125]\n",
      "5360 [D loss: (0.617)(R 0.651, F 0.583)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.139] [G acc: 0.133]\n",
      "5361 [D loss: (0.588)(R 0.571, F 0.606)] [D acc: (0.680)(0.637, 0.723)] [G loss: 1.189] [G acc: 0.145]\n",
      "5362 [D loss: (0.554)(R 0.573, F 0.535)] [D acc: (0.727)(0.703, 0.750)] [G loss: 1.223] [G acc: 0.152]\n",
      "5363 [D loss: (0.580)(R 0.621, F 0.538)] [D acc: (0.691)(0.586, 0.797)] [G loss: 1.145] [G acc: 0.160]\n",
      "5364 [D loss: (0.577)(R 0.613, F 0.541)] [D acc: (0.719)(0.652, 0.785)] [G loss: 1.224] [G acc: 0.117]\n",
      "5365 [D loss: (0.566)(R 0.568, F 0.564)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.134] [G acc: 0.176]\n",
      "5366 [D loss: (0.593)(R 0.594, F 0.592)] [D acc: (0.691)(0.609, 0.773)] [G loss: 1.177] [G acc: 0.148]\n",
      "5367 [D loss: (0.594)(R 0.603, F 0.584)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.198] [G acc: 0.137]\n",
      "5368 [D loss: (0.599)(R 0.650, F 0.549)] [D acc: (0.682)(0.578, 0.785)] [G loss: 1.218] [G acc: 0.129]\n",
      "5369 [D loss: (0.607)(R 0.609, F 0.605)] [D acc: (0.658)(0.613, 0.703)] [G loss: 1.115] [G acc: 0.203]\n",
      "5370 [D loss: (0.601)(R 0.638, F 0.564)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.137] [G acc: 0.133]\n",
      "5371 [D loss: (0.567)(R 0.580, F 0.554)] [D acc: (0.715)(0.641, 0.789)] [G loss: 1.231] [G acc: 0.133]\n",
      "5372 [D loss: (0.574)(R 0.596, F 0.552)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.189] [G acc: 0.172]\n",
      "5373 [D loss: (0.600)(R 0.574, F 0.626)] [D acc: (0.680)(0.652, 0.707)] [G loss: 1.189] [G acc: 0.156]\n",
      "5374 [D loss: (0.615)(R 0.627, F 0.603)] [D acc: (0.662)(0.598, 0.727)] [G loss: 1.135] [G acc: 0.145]\n",
      "5375 [D loss: (0.619)(R 0.641, F 0.596)] [D acc: (0.637)(0.566, 0.707)] [G loss: 1.157] [G acc: 0.152]\n",
      "5376 [D loss: (0.623)(R 0.640, F 0.607)] [D acc: (0.650)(0.578, 0.723)] [G loss: 1.165] [G acc: 0.145]\n",
      "5377 [D loss: (0.614)(R 0.650, F 0.577)] [D acc: (0.660)(0.562, 0.758)] [G loss: 1.231] [G acc: 0.137]\n",
      "5378 [D loss: (0.559)(R 0.616, F 0.502)] [D acc: (0.689)(0.582, 0.797)] [G loss: 1.260] [G acc: 0.094]\n",
      "5379 [D loss: (0.606)(R 0.593, F 0.619)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.128] [G acc: 0.172]\n",
      "5380 [D loss: (0.548)(R 0.525, F 0.570)] [D acc: (0.727)(0.719, 0.734)] [G loss: 1.116] [G acc: 0.172]\n",
      "5381 [D loss: (0.596)(R 0.573, F 0.620)] [D acc: (0.693)(0.668, 0.719)] [G loss: 1.146] [G acc: 0.176]\n",
      "5382 [D loss: (0.577)(R 0.601, F 0.553)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.224] [G acc: 0.105]\n",
      "5383 [D loss: (0.604)(R 0.570, F 0.638)] [D acc: (0.682)(0.664, 0.699)] [G loss: 1.140] [G acc: 0.164]\n",
      "5384 [D loss: (0.592)(R 0.595, F 0.589)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.141] [G acc: 0.133]\n",
      "5385 [D loss: (0.569)(R 0.582, F 0.556)] [D acc: (0.711)(0.652, 0.770)] [G loss: 1.189] [G acc: 0.176]\n",
      "5386 [D loss: (0.592)(R 0.595, F 0.589)] [D acc: (0.703)(0.633, 0.773)] [G loss: 1.149] [G acc: 0.094]\n",
      "5387 [D loss: (0.545)(R 0.529, F 0.561)] [D acc: (0.719)(0.684, 0.754)] [G loss: 1.238] [G acc: 0.164]\n",
      "5388 [D loss: (0.553)(R 0.554, F 0.551)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.409] [G acc: 0.070]\n",
      "5389 [D loss: (0.588)(R 0.586, F 0.589)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.137] [G acc: 0.180]\n",
      "5390 [D loss: (0.608)(R 0.582, F 0.633)] [D acc: (0.686)(0.625, 0.746)] [G loss: 1.199] [G acc: 0.125]\n",
      "5391 [D loss: (0.602)(R 0.576, F 0.627)] [D acc: (0.680)(0.664, 0.695)] [G loss: 1.141] [G acc: 0.141]\n",
      "5392 [D loss: (0.568)(R 0.601, F 0.534)] [D acc: (0.713)(0.621, 0.805)] [G loss: 1.150] [G acc: 0.145]\n",
      "5393 [D loss: (0.561)(R 0.603, F 0.518)] [D acc: (0.686)(0.594, 0.777)] [G loss: 1.202] [G acc: 0.102]\n",
      "5394 [D loss: (0.587)(R 0.600, F 0.574)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.225] [G acc: 0.160]\n",
      "5395 [D loss: (0.570)(R 0.545, F 0.595)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.313] [G acc: 0.113]\n",
      "5396 [D loss: (0.619)(R 0.636, F 0.602)] [D acc: (0.660)(0.574, 0.746)] [G loss: 1.213] [G acc: 0.137]\n",
      "5397 [D loss: (0.600)(R 0.620, F 0.580)] [D acc: (0.699)(0.641, 0.758)] [G loss: 1.217] [G acc: 0.129]\n",
      "5398 [D loss: (0.616)(R 0.618, F 0.615)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.108] [G acc: 0.164]\n",
      "5399 [D loss: (0.564)(R 0.612, F 0.516)] [D acc: (0.705)(0.609, 0.801)] [G loss: 1.184] [G acc: 0.164]\n",
      "5400 [D loss: (0.598)(R 0.621, F 0.575)] [D acc: (0.686)(0.578, 0.793)] [G loss: 1.214] [G acc: 0.133]\n",
      "5401 [D loss: (0.571)(R 0.549, F 0.593)] [D acc: (0.715)(0.691, 0.738)] [G loss: 1.206] [G acc: 0.129]\n",
      "5402 [D loss: (0.562)(R 0.567, F 0.557)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.264] [G acc: 0.105]\n",
      "5403 [D loss: (0.557)(R 0.549, F 0.565)] [D acc: (0.709)(0.664, 0.754)] [G loss: 1.248] [G acc: 0.133]\n",
      "5404 [D loss: (0.609)(R 0.587, F 0.632)] [D acc: (0.699)(0.648, 0.750)] [G loss: 1.205] [G acc: 0.141]\n",
      "5405 [D loss: (0.587)(R 0.614, F 0.560)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.119] [G acc: 0.188]\n",
      "5406 [D loss: (0.598)(R 0.582, F 0.615)] [D acc: (0.674)(0.629, 0.719)] [G loss: 1.105] [G acc: 0.180]\n",
      "5407 [D loss: (0.618)(R 0.629, F 0.607)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.167] [G acc: 0.191]\n",
      "5408 [D loss: (0.589)(R 0.583, F 0.596)] [D acc: (0.686)(0.629, 0.742)] [G loss: 1.171] [G acc: 0.148]\n",
      "5409 [D loss: (0.593)(R 0.619, F 0.566)] [D acc: (0.701)(0.613, 0.789)] [G loss: 1.148] [G acc: 0.164]\n",
      "5410 [D loss: (0.579)(R 0.578, F 0.580)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.125] [G acc: 0.156]\n",
      "5411 [D loss: (0.617)(R 0.606, F 0.629)] [D acc: (0.654)(0.605, 0.703)] [G loss: 1.141] [G acc: 0.184]\n",
      "5412 [D loss: (0.546)(R 0.573, F 0.519)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.235] [G acc: 0.117]\n",
      "5413 [D loss: (0.606)(R 0.562, F 0.650)] [D acc: (0.678)(0.656, 0.699)] [G loss: 1.173] [G acc: 0.164]\n",
      "5414 [D loss: (0.580)(R 0.605, F 0.555)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.160] [G acc: 0.176]\n",
      "5415 [D loss: (0.547)(R 0.556, F 0.538)] [D acc: (0.707)(0.645, 0.770)] [G loss: 1.238] [G acc: 0.125]\n",
      "5416 [D loss: (0.623)(R 0.637, F 0.609)] [D acc: (0.660)(0.582, 0.738)] [G loss: 1.170] [G acc: 0.105]\n",
      "5417 [D loss: (0.581)(R 0.602, F 0.560)] [D acc: (0.689)(0.637, 0.742)] [G loss: 1.132] [G acc: 0.207]\n",
      "5418 [D loss: (0.585)(R 0.565, F 0.605)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.196] [G acc: 0.125]\n",
      "5419 [D loss: (0.610)(R 0.613, F 0.606)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.141] [G acc: 0.176]\n",
      "5420 [D loss: (0.582)(R 0.600, F 0.564)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.126] [G acc: 0.160]\n",
      "5421 [D loss: (0.587)(R 0.587, F 0.586)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.070] [G acc: 0.219]\n",
      "5422 [D loss: (0.585)(R 0.574, F 0.596)] [D acc: (0.693)(0.617, 0.770)] [G loss: 1.151] [G acc: 0.137]\n",
      "5423 [D loss: (0.611)(R 0.599, F 0.624)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.167] [G acc: 0.137]\n",
      "5424 [D loss: (0.614)(R 0.586, F 0.642)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.156] [G acc: 0.152]\n",
      "5425 [D loss: (0.579)(R 0.602, F 0.556)] [D acc: (0.678)(0.605, 0.750)] [G loss: 1.158] [G acc: 0.156]\n",
      "5426 [D loss: (0.597)(R 0.579, F 0.615)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.155] [G acc: 0.160]\n",
      "5427 [D loss: (0.591)(R 0.616, F 0.565)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.176] [G acc: 0.113]\n",
      "5428 [D loss: (0.579)(R 0.628, F 0.529)] [D acc: (0.709)(0.637, 0.781)] [G loss: 1.244] [G acc: 0.133]\n",
      "5429 [D loss: (0.555)(R 0.567, F 0.543)] [D acc: (0.705)(0.625, 0.785)] [G loss: 1.267] [G acc: 0.129]\n",
      "5430 [D loss: (0.551)(R 0.581, F 0.522)] [D acc: (0.709)(0.617, 0.801)] [G loss: 1.176] [G acc: 0.137]\n",
      "5431 [D loss: (0.551)(R 0.544, F 0.557)] [D acc: (0.719)(0.676, 0.762)] [G loss: 1.167] [G acc: 0.117]\n",
      "5432 [D loss: (0.537)(R 0.538, F 0.535)] [D acc: (0.752)(0.676, 0.828)] [G loss: 1.147] [G acc: 0.172]\n",
      "5433 [D loss: (0.583)(R 0.600, F 0.567)] [D acc: (0.672)(0.586, 0.758)] [G loss: 1.238] [G acc: 0.160]\n",
      "5434 [D loss: (0.587)(R 0.531, F 0.642)] [D acc: (0.686)(0.691, 0.680)] [G loss: 1.218] [G acc: 0.102]\n",
      "5435 [D loss: (0.601)(R 0.621, F 0.582)] [D acc: (0.678)(0.625, 0.730)] [G loss: 1.176] [G acc: 0.156]\n",
      "5436 [D loss: (0.605)(R 0.610, F 0.599)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.236] [G acc: 0.137]\n",
      "5437 [D loss: (0.553)(R 0.566, F 0.540)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.147] [G acc: 0.164]\n",
      "5438 [D loss: (0.601)(R 0.601, F 0.601)] [D acc: (0.688)(0.621, 0.754)] [G loss: 1.127] [G acc: 0.191]\n",
      "5439 [D loss: (0.593)(R 0.593, F 0.594)] [D acc: (0.674)(0.605, 0.742)] [G loss: 1.143] [G acc: 0.137]\n",
      "5440 [D loss: (0.572)(R 0.528, F 0.616)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.193] [G acc: 0.121]\n",
      "5441 [D loss: (0.565)(R 0.559, F 0.571)] [D acc: (0.705)(0.664, 0.746)] [G loss: 1.207] [G acc: 0.172]\n",
      "5442 [D loss: (0.587)(R 0.586, F 0.588)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.208] [G acc: 0.121]\n",
      "5443 [D loss: (0.592)(R 0.609, F 0.574)] [D acc: (0.691)(0.605, 0.777)] [G loss: 1.191] [G acc: 0.152]\n",
      "5444 [D loss: (0.577)(R 0.584, F 0.570)] [D acc: (0.678)(0.609, 0.746)] [G loss: 1.293] [G acc: 0.109]\n",
      "5445 [D loss: (0.560)(R 0.550, F 0.569)] [D acc: (0.707)(0.652, 0.762)] [G loss: 1.222] [G acc: 0.145]\n",
      "5446 [D loss: (0.587)(R 0.622, F 0.553)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.244] [G acc: 0.141]\n",
      "5447 [D loss: (0.598)(R 0.597, F 0.600)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.188] [G acc: 0.109]\n",
      "5448 [D loss: (0.573)(R 0.621, F 0.525)] [D acc: (0.705)(0.594, 0.816)] [G loss: 1.241] [G acc: 0.113]\n",
      "5449 [D loss: (0.544)(R 0.547, F 0.540)] [D acc: (0.736)(0.688, 0.785)] [G loss: 1.162] [G acc: 0.195]\n",
      "5450 [D loss: (0.604)(R 0.578, F 0.630)] [D acc: (0.689)(0.648, 0.730)] [G loss: 1.182] [G acc: 0.156]\n",
      "5451 [D loss: (0.575)(R 0.583, F 0.567)] [D acc: (0.688)(0.613, 0.762)] [G loss: 1.199] [G acc: 0.160]\n",
      "5452 [D loss: (0.585)(R 0.593, F 0.577)] [D acc: (0.668)(0.602, 0.734)] [G loss: 1.216] [G acc: 0.129]\n",
      "5453 [D loss: (0.561)(R 0.595, F 0.527)] [D acc: (0.715)(0.625, 0.805)] [G loss: 1.209] [G acc: 0.168]\n",
      "5454 [D loss: (0.590)(R 0.576, F 0.603)] [D acc: (0.676)(0.652, 0.699)] [G loss: 1.232] [G acc: 0.090]\n",
      "5455 [D loss: (0.583)(R 0.584, F 0.583)] [D acc: (0.688)(0.609, 0.766)] [G loss: 1.160] [G acc: 0.191]\n",
      "5456 [D loss: (0.596)(R 0.650, F 0.541)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.157] [G acc: 0.105]\n",
      "5457 [D loss: (0.601)(R 0.601, F 0.602)] [D acc: (0.693)(0.629, 0.758)] [G loss: 1.243] [G acc: 0.117]\n",
      "5458 [D loss: (0.576)(R 0.600, F 0.553)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.198] [G acc: 0.137]\n",
      "5459 [D loss: (0.587)(R 0.579, F 0.596)] [D acc: (0.684)(0.652, 0.715)] [G loss: 1.144] [G acc: 0.168]\n",
      "5460 [D loss: (0.591)(R 0.617, F 0.564)] [D acc: (0.699)(0.629, 0.770)] [G loss: 1.108] [G acc: 0.164]\n",
      "5461 [D loss: (0.608)(R 0.565, F 0.652)] [D acc: (0.678)(0.656, 0.699)] [G loss: 1.210] [G acc: 0.117]\n",
      "5462 [D loss: (0.555)(R 0.580, F 0.531)] [D acc: (0.719)(0.637, 0.801)] [G loss: 1.289] [G acc: 0.105]\n",
      "5463 [D loss: (0.561)(R 0.530, F 0.592)] [D acc: (0.725)(0.715, 0.734)] [G loss: 1.204] [G acc: 0.133]\n",
      "5464 [D loss: (0.603)(R 0.594, F 0.612)] [D acc: (0.662)(0.629, 0.695)] [G loss: 1.144] [G acc: 0.145]\n",
      "5465 [D loss: (0.593)(R 0.598, F 0.588)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.198] [G acc: 0.117]\n",
      "5466 [D loss: (0.583)(R 0.602, F 0.565)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.175] [G acc: 0.156]\n",
      "5467 [D loss: (0.571)(R 0.592, F 0.549)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.186] [G acc: 0.145]\n",
      "5468 [D loss: (0.602)(R 0.562, F 0.641)] [D acc: (0.680)(0.676, 0.684)] [G loss: 1.174] [G acc: 0.160]\n",
      "5469 [D loss: (0.535)(R 0.556, F 0.513)] [D acc: (0.740)(0.672, 0.809)] [G loss: 1.220] [G acc: 0.129]\n",
      "5470 [D loss: (0.576)(R 0.580, F 0.573)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.186] [G acc: 0.184]\n",
      "5471 [D loss: (0.574)(R 0.614, F 0.534)] [D acc: (0.697)(0.594, 0.801)] [G loss: 1.257] [G acc: 0.109]\n",
      "5472 [D loss: (0.547)(R 0.537, F 0.556)] [D acc: (0.725)(0.656, 0.793)] [G loss: 1.213] [G acc: 0.152]\n",
      "5473 [D loss: (0.530)(R 0.546, F 0.514)] [D acc: (0.727)(0.668, 0.785)] [G loss: 1.287] [G acc: 0.105]\n",
      "5474 [D loss: (0.617)(R 0.567, F 0.667)] [D acc: (0.660)(0.629, 0.691)] [G loss: 1.220] [G acc: 0.168]\n",
      "5475 [D loss: (0.605)(R 0.650, F 0.561)] [D acc: (0.666)(0.578, 0.754)] [G loss: 1.174] [G acc: 0.160]\n",
      "5476 [D loss: (0.565)(R 0.556, F 0.575)] [D acc: (0.697)(0.668, 0.727)] [G loss: 1.147] [G acc: 0.180]\n",
      "5477 [D loss: (0.590)(R 0.554, F 0.626)] [D acc: (0.693)(0.645, 0.742)] [G loss: 1.177] [G acc: 0.160]\n",
      "5478 [D loss: (0.572)(R 0.554, F 0.589)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.190] [G acc: 0.145]\n",
      "5479 [D loss: (0.538)(R 0.532, F 0.543)] [D acc: (0.746)(0.680, 0.812)] [G loss: 1.282] [G acc: 0.133]\n",
      "5480 [D loss: (0.594)(R 0.562, F 0.626)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.266] [G acc: 0.129]\n",
      "5481 [D loss: (0.569)(R 0.583, F 0.555)] [D acc: (0.715)(0.621, 0.809)] [G loss: 1.348] [G acc: 0.086]\n",
      "5482 [D loss: (0.586)(R 0.592, F 0.581)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.283] [G acc: 0.125]\n",
      "5483 [D loss: (0.582)(R 0.632, F 0.533)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.204] [G acc: 0.152]\n",
      "5484 [D loss: (0.633)(R 0.635, F 0.630)] [D acc: (0.662)(0.602, 0.723)] [G loss: 1.183] [G acc: 0.172]\n",
      "5485 [D loss: (0.598)(R 0.606, F 0.591)] [D acc: (0.680)(0.625, 0.734)] [G loss: 1.155] [G acc: 0.188]\n",
      "5486 [D loss: (0.586)(R 0.570, F 0.602)] [D acc: (0.676)(0.637, 0.715)] [G loss: 1.167] [G acc: 0.145]\n",
      "5487 [D loss: (0.566)(R 0.562, F 0.571)] [D acc: (0.697)(0.664, 0.730)] [G loss: 1.199] [G acc: 0.137]\n",
      "5488 [D loss: (0.582)(R 0.589, F 0.574)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.165] [G acc: 0.152]\n",
      "5489 [D loss: (0.567)(R 0.567, F 0.567)] [D acc: (0.721)(0.672, 0.770)] [G loss: 1.220] [G acc: 0.133]\n",
      "5490 [D loss: (0.597)(R 0.585, F 0.608)] [D acc: (0.670)(0.621, 0.719)] [G loss: 1.152] [G acc: 0.164]\n",
      "5491 [D loss: (0.586)(R 0.601, F 0.572)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.214] [G acc: 0.121]\n",
      "5492 [D loss: (0.584)(R 0.573, F 0.595)] [D acc: (0.723)(0.664, 0.781)] [G loss: 1.200] [G acc: 0.129]\n",
      "5493 [D loss: (0.568)(R 0.597, F 0.539)] [D acc: (0.715)(0.648, 0.781)] [G loss: 1.180] [G acc: 0.164]\n",
      "5494 [D loss: (0.570)(R 0.577, F 0.564)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.156] [G acc: 0.199]\n",
      "5495 [D loss: (0.575)(R 0.592, F 0.558)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.156] [G acc: 0.191]\n",
      "5496 [D loss: (0.593)(R 0.595, F 0.591)] [D acc: (0.682)(0.613, 0.750)] [G loss: 1.096] [G acc: 0.203]\n",
      "5497 [D loss: (0.581)(R 0.585, F 0.577)] [D acc: (0.705)(0.648, 0.762)] [G loss: 1.216] [G acc: 0.176]\n",
      "5498 [D loss: (0.582)(R 0.592, F 0.573)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.269] [G acc: 0.152]\n",
      "5499 [D loss: (0.587)(R 0.628, F 0.546)] [D acc: (0.693)(0.617, 0.770)] [G loss: 1.417] [G acc: 0.070]\n",
      "5500 [D loss: (0.594)(R 0.592, F 0.597)] [D acc: (0.684)(0.645, 0.723)] [G loss: 1.184] [G acc: 0.148]\n",
      "5501 [D loss: (0.582)(R 0.546, F 0.619)] [D acc: (0.697)(0.660, 0.734)] [G loss: 1.192] [G acc: 0.133]\n",
      "5502 [D loss: (0.592)(R 0.612, F 0.573)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.142] [G acc: 0.164]\n",
      "5503 [D loss: (0.586)(R 0.579, F 0.592)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.210] [G acc: 0.156]\n",
      "5504 [D loss: (0.623)(R 0.594, F 0.653)] [D acc: (0.650)(0.613, 0.688)] [G loss: 1.291] [G acc: 0.133]\n",
      "5505 [D loss: (0.626)(R 0.696, F 0.556)] [D acc: (0.672)(0.559, 0.785)] [G loss: 1.252] [G acc: 0.121]\n",
      "5506 [D loss: (0.600)(R 0.627, F 0.572)] [D acc: (0.666)(0.574, 0.758)] [G loss: 1.140] [G acc: 0.207]\n",
      "5507 [D loss: (0.588)(R 0.563, F 0.612)] [D acc: (0.676)(0.645, 0.707)] [G loss: 1.233] [G acc: 0.113]\n",
      "5508 [D loss: (0.577)(R 0.594, F 0.561)] [D acc: (0.682)(0.648, 0.715)] [G loss: 1.246] [G acc: 0.148]\n",
      "5509 [D loss: (0.580)(R 0.606, F 0.554)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.361] [G acc: 0.078]\n",
      "5510 [D loss: (0.585)(R 0.569, F 0.601)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.194] [G acc: 0.195]\n",
      "5511 [D loss: (0.579)(R 0.582, F 0.576)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.230] [G acc: 0.125]\n",
      "5512 [D loss: (0.551)(R 0.556, F 0.545)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.404] [G acc: 0.090]\n",
      "5513 [D loss: (0.537)(R 0.600, F 0.474)] [D acc: (0.746)(0.645, 0.848)] [G loss: 1.445] [G acc: 0.066]\n",
      "5514 [D loss: (0.575)(R 0.589, F 0.560)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.203] [G acc: 0.129]\n",
      "5515 [D loss: (0.619)(R 0.608, F 0.629)] [D acc: (0.646)(0.605, 0.688)] [G loss: 1.187] [G acc: 0.141]\n",
      "5516 [D loss: (0.597)(R 0.604, F 0.590)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.223] [G acc: 0.129]\n",
      "5517 [D loss: (0.583)(R 0.637, F 0.529)] [D acc: (0.688)(0.590, 0.785)] [G loss: 1.254] [G acc: 0.141]\n",
      "5518 [D loss: (0.633)(R 0.640, F 0.626)] [D acc: (0.660)(0.605, 0.715)] [G loss: 1.173] [G acc: 0.172]\n",
      "5519 [D loss: (0.591)(R 0.618, F 0.564)] [D acc: (0.672)(0.621, 0.723)] [G loss: 1.196] [G acc: 0.145]\n",
      "5520 [D loss: (0.565)(R 0.561, F 0.569)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.166] [G acc: 0.184]\n",
      "5521 [D loss: (0.600)(R 0.594, F 0.606)] [D acc: (0.666)(0.598, 0.734)] [G loss: 1.193] [G acc: 0.164]\n",
      "5522 [D loss: (0.560)(R 0.592, F 0.528)] [D acc: (0.668)(0.586, 0.750)] [G loss: 1.183] [G acc: 0.184]\n",
      "5523 [D loss: (0.585)(R 0.588, F 0.582)] [D acc: (0.695)(0.633, 0.758)] [G loss: 1.125] [G acc: 0.199]\n",
      "5524 [D loss: (0.574)(R 0.574, F 0.574)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.213] [G acc: 0.156]\n",
      "5525 [D loss: (0.581)(R 0.582, F 0.581)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.238] [G acc: 0.145]\n",
      "5526 [D loss: (0.565)(R 0.566, F 0.565)] [D acc: (0.697)(0.652, 0.742)] [G loss: 1.198] [G acc: 0.172]\n",
      "5527 [D loss: (0.568)(R 0.580, F 0.557)] [D acc: (0.707)(0.633, 0.781)] [G loss: 1.188] [G acc: 0.125]\n",
      "5528 [D loss: (0.586)(R 0.540, F 0.631)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.144] [G acc: 0.152]\n",
      "5529 [D loss: (0.621)(R 0.653, F 0.589)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.142] [G acc: 0.160]\n",
      "5530 [D loss: (0.618)(R 0.624, F 0.613)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.183] [G acc: 0.180]\n",
      "5531 [D loss: (0.563)(R 0.595, F 0.530)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.172] [G acc: 0.168]\n",
      "5532 [D loss: (0.627)(R 0.643, F 0.611)] [D acc: (0.643)(0.566, 0.719)] [G loss: 1.065] [G acc: 0.207]\n",
      "5533 [D loss: (0.598)(R 0.577, F 0.619)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.148] [G acc: 0.133]\n",
      "5534 [D loss: (0.628)(R 0.616, F 0.641)] [D acc: (0.670)(0.625, 0.715)] [G loss: 1.111] [G acc: 0.160]\n",
      "5535 [D loss: (0.577)(R 0.553, F 0.602)] [D acc: (0.693)(0.641, 0.746)] [G loss: 1.105] [G acc: 0.199]\n",
      "5536 [D loss: (0.538)(R 0.534, F 0.543)] [D acc: (0.732)(0.688, 0.777)] [G loss: 1.155] [G acc: 0.133]\n",
      "5537 [D loss: (0.573)(R 0.565, F 0.580)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.215] [G acc: 0.145]\n",
      "5538 [D loss: (0.585)(R 0.623, F 0.547)] [D acc: (0.682)(0.570, 0.793)] [G loss: 1.252] [G acc: 0.113]\n",
      "5539 [D loss: (0.583)(R 0.578, F 0.588)] [D acc: (0.668)(0.594, 0.742)] [G loss: 1.142] [G acc: 0.184]\n",
      "5540 [D loss: (0.603)(R 0.589, F 0.617)] [D acc: (0.676)(0.637, 0.715)] [G loss: 1.121] [G acc: 0.199]\n",
      "5541 [D loss: (0.585)(R 0.578, F 0.592)] [D acc: (0.711)(0.676, 0.746)] [G loss: 1.120] [G acc: 0.152]\n",
      "5542 [D loss: (0.611)(R 0.631, F 0.592)] [D acc: (0.660)(0.598, 0.723)] [G loss: 1.136] [G acc: 0.137]\n",
      "5543 [D loss: (0.577)(R 0.581, F 0.572)] [D acc: (0.670)(0.609, 0.730)] [G loss: 1.237] [G acc: 0.148]\n",
      "5544 [D loss: (0.587)(R 0.594, F 0.580)] [D acc: (0.689)(0.602, 0.777)] [G loss: 1.264] [G acc: 0.121]\n",
      "5545 [D loss: (0.620)(R 0.605, F 0.635)] [D acc: (0.658)(0.617, 0.699)] [G loss: 1.150] [G acc: 0.121]\n",
      "5546 [D loss: (0.562)(R 0.572, F 0.552)] [D acc: (0.699)(0.617, 0.781)] [G loss: 1.249] [G acc: 0.086]\n",
      "5547 [D loss: (0.564)(R 0.594, F 0.534)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.275] [G acc: 0.113]\n",
      "5548 [D loss: (0.586)(R 0.626, F 0.546)] [D acc: (0.697)(0.621, 0.773)] [G loss: 1.230] [G acc: 0.098]\n",
      "5549 [D loss: (0.567)(R 0.573, F 0.561)] [D acc: (0.701)(0.645, 0.758)] [G loss: 1.132] [G acc: 0.191]\n",
      "5550 [D loss: (0.589)(R 0.545, F 0.634)] [D acc: (0.693)(0.664, 0.723)] [G loss: 1.169] [G acc: 0.129]\n",
      "5551 [D loss: (0.557)(R 0.568, F 0.546)] [D acc: (0.705)(0.637, 0.773)] [G loss: 1.156] [G acc: 0.164]\n",
      "5552 [D loss: (0.599)(R 0.603, F 0.595)] [D acc: (0.680)(0.613, 0.746)] [G loss: 1.181] [G acc: 0.137]\n",
      "5553 [D loss: (0.580)(R 0.574, F 0.585)] [D acc: (0.682)(0.645, 0.719)] [G loss: 1.122] [G acc: 0.176]\n",
      "5554 [D loss: (0.601)(R 0.624, F 0.578)] [D acc: (0.689)(0.605, 0.773)] [G loss: 1.131] [G acc: 0.184]\n",
      "5555 [D loss: (0.580)(R 0.569, F 0.591)] [D acc: (0.713)(0.652, 0.773)] [G loss: 1.152] [G acc: 0.188]\n",
      "5556 [D loss: (0.600)(R 0.590, F 0.610)] [D acc: (0.664)(0.625, 0.703)] [G loss: 1.189] [G acc: 0.117]\n",
      "5557 [D loss: (0.586)(R 0.564, F 0.608)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.194] [G acc: 0.137]\n",
      "5558 [D loss: (0.574)(R 0.579, F 0.569)] [D acc: (0.693)(0.664, 0.723)] [G loss: 1.247] [G acc: 0.117]\n",
      "5559 [D loss: (0.566)(R 0.567, F 0.565)] [D acc: (0.707)(0.641, 0.773)] [G loss: 1.242] [G acc: 0.211]\n",
      "5560 [D loss: (0.581)(R 0.610, F 0.552)] [D acc: (0.695)(0.605, 0.785)] [G loss: 1.429] [G acc: 0.055]\n",
      "5561 [D loss: (0.634)(R 0.625, F 0.642)] [D acc: (0.648)(0.594, 0.703)] [G loss: 1.158] [G acc: 0.148]\n",
      "5562 [D loss: (0.601)(R 0.610, F 0.592)] [D acc: (0.672)(0.609, 0.734)] [G loss: 1.175] [G acc: 0.141]\n",
      "5563 [D loss: (0.600)(R 0.574, F 0.626)] [D acc: (0.678)(0.645, 0.711)] [G loss: 1.119] [G acc: 0.164]\n",
      "5564 [D loss: (0.564)(R 0.593, F 0.534)] [D acc: (0.695)(0.602, 0.789)] [G loss: 1.169] [G acc: 0.160]\n",
      "5565 [D loss: (0.610)(R 0.621, F 0.599)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.176] [G acc: 0.160]\n",
      "5566 [D loss: (0.595)(R 0.606, F 0.584)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.182] [G acc: 0.102]\n",
      "5567 [D loss: (0.596)(R 0.656, F 0.536)] [D acc: (0.678)(0.566, 0.789)] [G loss: 1.180] [G acc: 0.137]\n",
      "5568 [D loss: (0.613)(R 0.596, F 0.629)] [D acc: (0.646)(0.586, 0.707)] [G loss: 1.106] [G acc: 0.203]\n",
      "5569 [D loss: (0.579)(R 0.601, F 0.557)] [D acc: (0.680)(0.605, 0.754)] [G loss: 1.163] [G acc: 0.156]\n",
      "5570 [D loss: (0.622)(R 0.623, F 0.621)] [D acc: (0.684)(0.621, 0.746)] [G loss: 1.130] [G acc: 0.188]\n",
      "5571 [D loss: (0.574)(R 0.546, F 0.601)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.169] [G acc: 0.133]\n",
      "5572 [D loss: (0.572)(R 0.568, F 0.577)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.235] [G acc: 0.156]\n",
      "5573 [D loss: (0.553)(R 0.609, F 0.496)] [D acc: (0.738)(0.641, 0.836)] [G loss: 1.265] [G acc: 0.117]\n",
      "5574 [D loss: (0.572)(R 0.532, F 0.612)] [D acc: (0.717)(0.676, 0.758)] [G loss: 1.097] [G acc: 0.207]\n",
      "5575 [D loss: (0.593)(R 0.553, F 0.634)] [D acc: (0.664)(0.637, 0.691)] [G loss: 1.069] [G acc: 0.191]\n",
      "5576 [D loss: (0.593)(R 0.567, F 0.620)] [D acc: (0.686)(0.672, 0.699)] [G loss: 1.127] [G acc: 0.160]\n",
      "5577 [D loss: (0.570)(R 0.583, F 0.558)] [D acc: (0.676)(0.609, 0.742)] [G loss: 1.139] [G acc: 0.137]\n",
      "5578 [D loss: (0.577)(R 0.551, F 0.603)] [D acc: (0.709)(0.656, 0.762)] [G loss: 1.236] [G acc: 0.148]\n",
      "5579 [D loss: (0.566)(R 0.606, F 0.526)] [D acc: (0.711)(0.605, 0.816)] [G loss: 1.400] [G acc: 0.074]\n",
      "5580 [D loss: (0.633)(R 0.706, F 0.560)] [D acc: (0.641)(0.543, 0.738)] [G loss: 1.133] [G acc: 0.199]\n",
      "5581 [D loss: (0.615)(R 0.516, F 0.715)] [D acc: (0.723)(0.727, 0.719)] [G loss: 1.102] [G acc: 0.188]\n",
      "5582 [D loss: (0.621)(R 0.604, F 0.639)] [D acc: (0.646)(0.598, 0.695)] [G loss: 1.087] [G acc: 0.230]\n",
      "5583 [D loss: (0.576)(R 0.579, F 0.574)] [D acc: (0.691)(0.645, 0.738)] [G loss: 1.086] [G acc: 0.191]\n",
      "5584 [D loss: (0.593)(R 0.585, F 0.601)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.150] [G acc: 0.176]\n",
      "5585 [D loss: (0.619)(R 0.626, F 0.612)] [D acc: (0.652)(0.602, 0.703)] [G loss: 1.100] [G acc: 0.215]\n",
      "5586 [D loss: (0.591)(R 0.574, F 0.608)] [D acc: (0.686)(0.641, 0.730)] [G loss: 1.153] [G acc: 0.160]\n",
      "5587 [D loss: (0.575)(R 0.578, F 0.571)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.087] [G acc: 0.188]\n",
      "5588 [D loss: (0.610)(R 0.609, F 0.611)] [D acc: (0.668)(0.613, 0.723)] [G loss: 1.080] [G acc: 0.188]\n",
      "5589 [D loss: (0.573)(R 0.585, F 0.560)] [D acc: (0.682)(0.590, 0.773)] [G loss: 1.173] [G acc: 0.137]\n",
      "5590 [D loss: (0.567)(R 0.562, F 0.572)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.195] [G acc: 0.137]\n",
      "5591 [D loss: (0.577)(R 0.610, F 0.545)] [D acc: (0.695)(0.598, 0.793)] [G loss: 1.214] [G acc: 0.105]\n",
      "5592 [D loss: (0.578)(R 0.575, F 0.582)] [D acc: (0.682)(0.637, 0.727)] [G loss: 1.204] [G acc: 0.148]\n",
      "5593 [D loss: (0.585)(R 0.613, F 0.558)] [D acc: (0.670)(0.578, 0.762)] [G loss: 1.259] [G acc: 0.105]\n",
      "5594 [D loss: (0.591)(R 0.610, F 0.571)] [D acc: (0.672)(0.594, 0.750)] [G loss: 1.139] [G acc: 0.160]\n",
      "5595 [D loss: (0.577)(R 0.573, F 0.582)] [D acc: (0.691)(0.652, 0.730)] [G loss: 1.032] [G acc: 0.230]\n",
      "5596 [D loss: (0.600)(R 0.538, F 0.662)] [D acc: (0.695)(0.668, 0.723)] [G loss: 1.117] [G acc: 0.148]\n",
      "5597 [D loss: (0.608)(R 0.580, F 0.636)] [D acc: (0.680)(0.648, 0.711)] [G loss: 1.186] [G acc: 0.156]\n",
      "5598 [D loss: (0.577)(R 0.612, F 0.542)] [D acc: (0.705)(0.594, 0.816)] [G loss: 1.163] [G acc: 0.176]\n",
      "5599 [D loss: (0.592)(R 0.636, F 0.547)] [D acc: (0.678)(0.590, 0.766)] [G loss: 1.225] [G acc: 0.125]\n",
      "5600 [D loss: (0.597)(R 0.585, F 0.609)] [D acc: (0.678)(0.617, 0.738)] [G loss: 1.213] [G acc: 0.160]\n",
      "5601 [D loss: (0.569)(R 0.605, F 0.533)] [D acc: (0.715)(0.629, 0.801)] [G loss: 1.151] [G acc: 0.160]\n",
      "5602 [D loss: (0.586)(R 0.577, F 0.596)] [D acc: (0.658)(0.625, 0.691)] [G loss: 1.149] [G acc: 0.168]\n",
      "5603 [D loss: (0.585)(R 0.585, F 0.586)] [D acc: (0.684)(0.609, 0.758)] [G loss: 1.208] [G acc: 0.168]\n",
      "5604 [D loss: (0.578)(R 0.571, F 0.586)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.144] [G acc: 0.129]\n",
      "5605 [D loss: (0.604)(R 0.624, F 0.585)] [D acc: (0.648)(0.570, 0.727)] [G loss: 1.108] [G acc: 0.160]\n",
      "5606 [D loss: (0.583)(R 0.601, F 0.564)] [D acc: (0.699)(0.625, 0.773)] [G loss: 1.239] [G acc: 0.152]\n",
      "5607 [D loss: (0.644)(R 0.666, F 0.622)] [D acc: (0.637)(0.555, 0.719)] [G loss: 1.194] [G acc: 0.141]\n",
      "5608 [D loss: (0.573)(R 0.581, F 0.565)] [D acc: (0.705)(0.652, 0.758)] [G loss: 1.261] [G acc: 0.090]\n",
      "5609 [D loss: (0.608)(R 0.592, F 0.625)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.157] [G acc: 0.176]\n",
      "5610 [D loss: (0.574)(R 0.581, F 0.568)] [D acc: (0.709)(0.633, 0.785)] [G loss: 1.172] [G acc: 0.152]\n",
      "5611 [D loss: (0.574)(R 0.542, F 0.607)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.148] [G acc: 0.164]\n",
      "5612 [D loss: (0.578)(R 0.574, F 0.582)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.116] [G acc: 0.176]\n",
      "5613 [D loss: (0.538)(R 0.529, F 0.548)] [D acc: (0.715)(0.664, 0.766)] [G loss: 1.182] [G acc: 0.148]\n",
      "5614 [D loss: (0.612)(R 0.610, F 0.614)] [D acc: (0.674)(0.621, 0.727)] [G loss: 1.179] [G acc: 0.152]\n",
      "5615 [D loss: (0.582)(R 0.580, F 0.584)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.180] [G acc: 0.156]\n",
      "5616 [D loss: (0.614)(R 0.685, F 0.542)] [D acc: (0.676)(0.555, 0.797)] [G loss: 1.227] [G acc: 0.125]\n",
      "5617 [D loss: (0.564)(R 0.566, F 0.563)] [D acc: (0.732)(0.652, 0.812)] [G loss: 1.196] [G acc: 0.141]\n",
      "5618 [D loss: (0.570)(R 0.547, F 0.592)] [D acc: (0.703)(0.691, 0.715)] [G loss: 1.158] [G acc: 0.145]\n",
      "5619 [D loss: (0.609)(R 0.602, F 0.616)] [D acc: (0.643)(0.594, 0.691)] [G loss: 1.143] [G acc: 0.207]\n",
      "5620 [D loss: (0.585)(R 0.557, F 0.613)] [D acc: (0.686)(0.648, 0.723)] [G loss: 1.169] [G acc: 0.141]\n",
      "5621 [D loss: (0.588)(R 0.573, F 0.603)] [D acc: (0.670)(0.602, 0.738)] [G loss: 1.151] [G acc: 0.211]\n",
      "5622 [D loss: (0.598)(R 0.597, F 0.599)] [D acc: (0.650)(0.605, 0.695)] [G loss: 1.103] [G acc: 0.164]\n",
      "5623 [D loss: (0.582)(R 0.596, F 0.567)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.149] [G acc: 0.184]\n",
      "5624 [D loss: (0.592)(R 0.612, F 0.572)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.205] [G acc: 0.105]\n",
      "5625 [D loss: (0.601)(R 0.651, F 0.551)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.090] [G acc: 0.227]\n",
      "5626 [D loss: (0.605)(R 0.605, F 0.605)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.163] [G acc: 0.133]\n",
      "5627 [D loss: (0.577)(R 0.574, F 0.579)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.279] [G acc: 0.156]\n",
      "5628 [D loss: (0.563)(R 0.621, F 0.506)] [D acc: (0.725)(0.617, 0.832)] [G loss: 1.293] [G acc: 0.090]\n",
      "5629 [D loss: (0.623)(R 0.571, F 0.674)] [D acc: (0.652)(0.637, 0.668)] [G loss: 1.126] [G acc: 0.145]\n",
      "5630 [D loss: (0.581)(R 0.564, F 0.597)] [D acc: (0.684)(0.637, 0.730)] [G loss: 1.115] [G acc: 0.148]\n",
      "5631 [D loss: (0.561)(R 0.556, F 0.566)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.183] [G acc: 0.141]\n",
      "5632 [D loss: (0.609)(R 0.593, F 0.626)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.101] [G acc: 0.156]\n",
      "5633 [D loss: (0.600)(R 0.595, F 0.605)] [D acc: (0.705)(0.629, 0.781)] [G loss: 1.142] [G acc: 0.172]\n",
      "5634 [D loss: (0.583)(R 0.605, F 0.561)] [D acc: (0.703)(0.617, 0.789)] [G loss: 1.181] [G acc: 0.148]\n",
      "5635 [D loss: (0.619)(R 0.628, F 0.610)] [D acc: (0.672)(0.598, 0.746)] [G loss: 1.139] [G acc: 0.172]\n",
      "5636 [D loss: (0.594)(R 0.543, F 0.645)] [D acc: (0.686)(0.672, 0.699)] [G loss: 1.139] [G acc: 0.156]\n",
      "5637 [D loss: (0.601)(R 0.631, F 0.571)] [D acc: (0.688)(0.598, 0.777)] [G loss: 1.148] [G acc: 0.176]\n",
      "5638 [D loss: (0.562)(R 0.604, F 0.520)] [D acc: (0.707)(0.602, 0.812)] [G loss: 1.165] [G acc: 0.152]\n",
      "5639 [D loss: (0.578)(R 0.529, F 0.628)] [D acc: (0.715)(0.715, 0.715)] [G loss: 1.237] [G acc: 0.137]\n",
      "5640 [D loss: (0.583)(R 0.593, F 0.574)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.132] [G acc: 0.172]\n",
      "5641 [D loss: (0.625)(R 0.615, F 0.634)] [D acc: (0.668)(0.605, 0.730)] [G loss: 1.171] [G acc: 0.176]\n",
      "5642 [D loss: (0.566)(R 0.604, F 0.528)] [D acc: (0.707)(0.598, 0.816)] [G loss: 1.201] [G acc: 0.133]\n",
      "5643 [D loss: (0.567)(R 0.560, F 0.574)] [D acc: (0.689)(0.625, 0.754)] [G loss: 1.319] [G acc: 0.113]\n",
      "5644 [D loss: (0.510)(R 0.586, F 0.434)] [D acc: (0.729)(0.574, 0.883)] [G loss: 1.427] [G acc: 0.066]\n",
      "5645 [D loss: (0.553)(R 0.531, F 0.574)] [D acc: (0.721)(0.691, 0.750)] [G loss: 1.197] [G acc: 0.137]\n",
      "5646 [D loss: (0.582)(R 0.575, F 0.589)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.224] [G acc: 0.129]\n",
      "5647 [D loss: (0.616)(R 0.599, F 0.633)] [D acc: (0.627)(0.582, 0.672)] [G loss: 1.172] [G acc: 0.184]\n",
      "5648 [D loss: (0.582)(R 0.577, F 0.588)] [D acc: (0.686)(0.648, 0.723)] [G loss: 1.146] [G acc: 0.176]\n",
      "5649 [D loss: (0.598)(R 0.625, F 0.571)] [D acc: (0.660)(0.609, 0.711)] [G loss: 1.212] [G acc: 0.156]\n",
      "5650 [D loss: (0.570)(R 0.560, F 0.580)] [D acc: (0.697)(0.645, 0.750)] [G loss: 1.181] [G acc: 0.156]\n",
      "5651 [D loss: (0.589)(R 0.619, F 0.559)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.175] [G acc: 0.156]\n",
      "5652 [D loss: (0.617)(R 0.626, F 0.608)] [D acc: (0.660)(0.566, 0.754)] [G loss: 1.201] [G acc: 0.121]\n",
      "5653 [D loss: (0.563)(R 0.555, F 0.571)] [D acc: (0.721)(0.648, 0.793)] [G loss: 1.191] [G acc: 0.141]\n",
      "5654 [D loss: (0.550)(R 0.576, F 0.523)] [D acc: (0.719)(0.629, 0.809)] [G loss: 1.159] [G acc: 0.156]\n",
      "5655 [D loss: (0.589)(R 0.552, F 0.626)] [D acc: (0.705)(0.672, 0.738)] [G loss: 1.158] [G acc: 0.188]\n",
      "5656 [D loss: (0.586)(R 0.598, F 0.574)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.259] [G acc: 0.109]\n",
      "5657 [D loss: (0.613)(R 0.583, F 0.643)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.223] [G acc: 0.125]\n",
      "5658 [D loss: (0.581)(R 0.614, F 0.548)] [D acc: (0.678)(0.570, 0.785)] [G loss: 1.197] [G acc: 0.102]\n",
      "5659 [D loss: (0.546)(R 0.571, F 0.521)] [D acc: (0.709)(0.609, 0.809)] [G loss: 1.191] [G acc: 0.105]\n",
      "5660 [D loss: (0.604)(R 0.598, F 0.609)] [D acc: (0.695)(0.641, 0.750)] [G loss: 1.087] [G acc: 0.207]\n",
      "5661 [D loss: (0.599)(R 0.613, F 0.585)] [D acc: (0.674)(0.598, 0.750)] [G loss: 1.125] [G acc: 0.172]\n",
      "5662 [D loss: (0.586)(R 0.582, F 0.590)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.130] [G acc: 0.180]\n",
      "5663 [D loss: (0.596)(R 0.609, F 0.583)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.201] [G acc: 0.145]\n",
      "5664 [D loss: (0.563)(R 0.548, F 0.577)] [D acc: (0.701)(0.668, 0.734)] [G loss: 1.246] [G acc: 0.176]\n",
      "5665 [D loss: (0.604)(R 0.621, F 0.587)] [D acc: (0.658)(0.605, 0.711)] [G loss: 1.203] [G acc: 0.141]\n",
      "5666 [D loss: (0.577)(R 0.591, F 0.564)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.188] [G acc: 0.160]\n",
      "5667 [D loss: (0.587)(R 0.614, F 0.561)] [D acc: (0.682)(0.594, 0.770)] [G loss: 1.151] [G acc: 0.188]\n",
      "5668 [D loss: (0.577)(R 0.542, F 0.611)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.176] [G acc: 0.191]\n",
      "5669 [D loss: (0.569)(R 0.575, F 0.563)] [D acc: (0.693)(0.609, 0.777)] [G loss: 1.210] [G acc: 0.172]\n",
      "5670 [D loss: (0.548)(R 0.563, F 0.532)] [D acc: (0.721)(0.629, 0.812)] [G loss: 1.230] [G acc: 0.129]\n",
      "5671 [D loss: (0.554)(R 0.587, F 0.520)] [D acc: (0.713)(0.641, 0.785)] [G loss: 1.450] [G acc: 0.113]\n",
      "5672 [D loss: (0.519)(R 0.563, F 0.474)] [D acc: (0.758)(0.664, 0.852)] [G loss: 1.402] [G acc: 0.062]\n",
      "5673 [D loss: (0.543)(R 0.557, F 0.528)] [D acc: (0.715)(0.637, 0.793)] [G loss: 1.159] [G acc: 0.180]\n",
      "5674 [D loss: (0.582)(R 0.501, F 0.664)] [D acc: (0.697)(0.703, 0.691)] [G loss: 1.136] [G acc: 0.184]\n",
      "5675 [D loss: (0.579)(R 0.563, F 0.594)] [D acc: (0.695)(0.660, 0.730)] [G loss: 1.205] [G acc: 0.121]\n",
      "5676 [D loss: (0.599)(R 0.597, F 0.602)] [D acc: (0.678)(0.617, 0.738)] [G loss: 1.224] [G acc: 0.145]\n",
      "5677 [D loss: (0.553)(R 0.581, F 0.526)] [D acc: (0.713)(0.637, 0.789)] [G loss: 1.237] [G acc: 0.121]\n",
      "5678 [D loss: (0.544)(R 0.529, F 0.560)] [D acc: (0.730)(0.703, 0.758)] [G loss: 1.262] [G acc: 0.133]\n",
      "5679 [D loss: (0.556)(R 0.568, F 0.544)] [D acc: (0.736)(0.668, 0.805)] [G loss: 1.230] [G acc: 0.129]\n",
      "5680 [D loss: (0.581)(R 0.594, F 0.567)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.258] [G acc: 0.141]\n",
      "5681 [D loss: (0.582)(R 0.613, F 0.551)] [D acc: (0.723)(0.633, 0.812)] [G loss: 1.266] [G acc: 0.121]\n",
      "5682 [D loss: (0.641)(R 0.635, F 0.647)] [D acc: (0.641)(0.562, 0.719)] [G loss: 1.157] [G acc: 0.172]\n",
      "5683 [D loss: (0.543)(R 0.563, F 0.522)] [D acc: (0.725)(0.664, 0.785)] [G loss: 1.202] [G acc: 0.148]\n",
      "5684 [D loss: (0.581)(R 0.556, F 0.606)] [D acc: (0.680)(0.633, 0.727)] [G loss: 1.177] [G acc: 0.184]\n",
      "5685 [D loss: (0.587)(R 0.612, F 0.563)] [D acc: (0.686)(0.602, 0.770)] [G loss: 1.170] [G acc: 0.195]\n",
      "5686 [D loss: (0.589)(R 0.608, F 0.569)] [D acc: (0.701)(0.637, 0.766)] [G loss: 1.196] [G acc: 0.129]\n",
      "5687 [D loss: (0.585)(R 0.623, F 0.547)] [D acc: (0.678)(0.574, 0.781)] [G loss: 1.129] [G acc: 0.203]\n",
      "5688 [D loss: (0.572)(R 0.582, F 0.562)] [D acc: (0.725)(0.652, 0.797)] [G loss: 1.146] [G acc: 0.191]\n",
      "5689 [D loss: (0.605)(R 0.628, F 0.582)] [D acc: (0.662)(0.562, 0.762)] [G loss: 1.195] [G acc: 0.148]\n",
      "5690 [D loss: (0.597)(R 0.634, F 0.560)] [D acc: (0.668)(0.562, 0.773)] [G loss: 1.144] [G acc: 0.164]\n",
      "5691 [D loss: (0.594)(R 0.567, F 0.621)] [D acc: (0.689)(0.648, 0.730)] [G loss: 1.183] [G acc: 0.156]\n",
      "5692 [D loss: (0.576)(R 0.563, F 0.589)] [D acc: (0.713)(0.660, 0.766)] [G loss: 1.276] [G acc: 0.125]\n",
      "5693 [D loss: (0.552)(R 0.530, F 0.574)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.266] [G acc: 0.102]\n",
      "5694 [D loss: (0.614)(R 0.629, F 0.600)] [D acc: (0.682)(0.625, 0.738)] [G loss: 1.159] [G acc: 0.133]\n",
      "5695 [D loss: (0.573)(R 0.643, F 0.503)] [D acc: (0.689)(0.547, 0.832)] [G loss: 1.154] [G acc: 0.184]\n",
      "5696 [D loss: (0.600)(R 0.624, F 0.575)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.134] [G acc: 0.160]\n",
      "5697 [D loss: (0.584)(R 0.588, F 0.580)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.270] [G acc: 0.145]\n",
      "5698 [D loss: (0.579)(R 0.597, F 0.561)] [D acc: (0.705)(0.656, 0.754)] [G loss: 1.212] [G acc: 0.145]\n",
      "5699 [D loss: (0.595)(R 0.554, F 0.635)] [D acc: (0.662)(0.648, 0.676)] [G loss: 1.261] [G acc: 0.109]\n",
      "5700 [D loss: (0.559)(R 0.588, F 0.530)] [D acc: (0.713)(0.625, 0.801)] [G loss: 1.113] [G acc: 0.160]\n",
      "5701 [D loss: (0.581)(R 0.567, F 0.594)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.184] [G acc: 0.125]\n",
      "5702 [D loss: (0.548)(R 0.520, F 0.575)] [D acc: (0.705)(0.684, 0.727)] [G loss: 1.163] [G acc: 0.160]\n",
      "5703 [D loss: (0.617)(R 0.660, F 0.575)] [D acc: (0.645)(0.539, 0.750)] [G loss: 1.149] [G acc: 0.168]\n",
      "5704 [D loss: (0.588)(R 0.613, F 0.563)] [D acc: (0.658)(0.605, 0.711)] [G loss: 1.169] [G acc: 0.133]\n",
      "5705 [D loss: (0.580)(R 0.558, F 0.602)] [D acc: (0.717)(0.672, 0.762)] [G loss: 1.183] [G acc: 0.145]\n",
      "5706 [D loss: (0.592)(R 0.606, F 0.578)] [D acc: (0.684)(0.594, 0.773)] [G loss: 1.162] [G acc: 0.211]\n",
      "5707 [D loss: (0.601)(R 0.619, F 0.584)] [D acc: (0.654)(0.566, 0.742)] [G loss: 1.174] [G acc: 0.160]\n",
      "5708 [D loss: (0.561)(R 0.576, F 0.545)] [D acc: (0.691)(0.613, 0.770)] [G loss: 1.168] [G acc: 0.133]\n",
      "5709 [D loss: (0.583)(R 0.620, F 0.547)] [D acc: (0.721)(0.629, 0.812)] [G loss: 1.153] [G acc: 0.148]\n",
      "5710 [D loss: (0.593)(R 0.593, F 0.593)] [D acc: (0.643)(0.570, 0.715)] [G loss: 1.298] [G acc: 0.113]\n",
      "5711 [D loss: (0.564)(R 0.633, F 0.495)] [D acc: (0.713)(0.590, 0.836)] [G loss: 1.377] [G acc: 0.066]\n",
      "5712 [D loss: (0.577)(R 0.587, F 0.568)] [D acc: (0.705)(0.645, 0.766)] [G loss: 1.149] [G acc: 0.148]\n",
      "5713 [D loss: (0.587)(R 0.572, F 0.601)] [D acc: (0.695)(0.648, 0.742)] [G loss: 1.161] [G acc: 0.141]\n",
      "5714 [D loss: (0.528)(R 0.534, F 0.521)] [D acc: (0.723)(0.672, 0.773)] [G loss: 1.108] [G acc: 0.172]\n",
      "5715 [D loss: (0.588)(R 0.605, F 0.571)] [D acc: (0.662)(0.594, 0.730)] [G loss: 1.196] [G acc: 0.129]\n",
      "5716 [D loss: (0.602)(R 0.610, F 0.594)] [D acc: (0.676)(0.598, 0.754)] [G loss: 1.228] [G acc: 0.137]\n",
      "5717 [D loss: (0.624)(R 0.632, F 0.615)] [D acc: (0.682)(0.617, 0.746)] [G loss: 1.198] [G acc: 0.195]\n",
      "5718 [D loss: (0.565)(R 0.575, F 0.555)] [D acc: (0.666)(0.621, 0.711)] [G loss: 1.182] [G acc: 0.133]\n",
      "5719 [D loss: (0.554)(R 0.531, F 0.578)] [D acc: (0.715)(0.688, 0.742)] [G loss: 1.246] [G acc: 0.137]\n",
      "5720 [D loss: (0.570)(R 0.565, F 0.575)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.151] [G acc: 0.125]\n",
      "5721 [D loss: (0.589)(R 0.587, F 0.592)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.165] [G acc: 0.125]\n",
      "5722 [D loss: (0.594)(R 0.615, F 0.573)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.216] [G acc: 0.160]\n",
      "5723 [D loss: (0.569)(R 0.560, F 0.577)] [D acc: (0.703)(0.668, 0.738)] [G loss: 1.198] [G acc: 0.156]\n",
      "5724 [D loss: (0.593)(R 0.584, F 0.603)] [D acc: (0.666)(0.625, 0.707)] [G loss: 1.142] [G acc: 0.137]\n",
      "5725 [D loss: (0.607)(R 0.591, F 0.624)] [D acc: (0.691)(0.637, 0.746)] [G loss: 1.165] [G acc: 0.125]\n",
      "5726 [D loss: (0.593)(R 0.564, F 0.622)] [D acc: (0.686)(0.652, 0.719)] [G loss: 1.165] [G acc: 0.180]\n",
      "5727 [D loss: (0.591)(R 0.588, F 0.594)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.112] [G acc: 0.148]\n",
      "5728 [D loss: (0.588)(R 0.616, F 0.560)] [D acc: (0.684)(0.598, 0.770)] [G loss: 1.187] [G acc: 0.156]\n",
      "5729 [D loss: (0.532)(R 0.556, F 0.508)] [D acc: (0.730)(0.645, 0.816)] [G loss: 1.177] [G acc: 0.145]\n",
      "5730 [D loss: (0.579)(R 0.580, F 0.577)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.227] [G acc: 0.152]\n",
      "5731 [D loss: (0.566)(R 0.597, F 0.535)] [D acc: (0.689)(0.621, 0.758)] [G loss: 1.182] [G acc: 0.172]\n",
      "5732 [D loss: (0.586)(R 0.535, F 0.637)] [D acc: (0.707)(0.688, 0.727)] [G loss: 1.159] [G acc: 0.141]\n",
      "5733 [D loss: (0.585)(R 0.557, F 0.612)] [D acc: (0.711)(0.684, 0.738)] [G loss: 1.192] [G acc: 0.129]\n",
      "5734 [D loss: (0.601)(R 0.578, F 0.623)] [D acc: (0.678)(0.617, 0.738)] [G loss: 1.168] [G acc: 0.191]\n",
      "5735 [D loss: (0.568)(R 0.569, F 0.567)] [D acc: (0.693)(0.605, 0.781)] [G loss: 1.156] [G acc: 0.203]\n",
      "5736 [D loss: (0.590)(R 0.617, F 0.563)] [D acc: (0.682)(0.598, 0.766)] [G loss: 1.224] [G acc: 0.133]\n",
      "5737 [D loss: (0.590)(R 0.571, F 0.608)] [D acc: (0.701)(0.648, 0.754)] [G loss: 1.236] [G acc: 0.109]\n",
      "5738 [D loss: (0.595)(R 0.605, F 0.584)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.227] [G acc: 0.160]\n",
      "5739 [D loss: (0.563)(R 0.570, F 0.557)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.293] [G acc: 0.125]\n",
      "5740 [D loss: (0.576)(R 0.594, F 0.558)] [D acc: (0.705)(0.629, 0.781)] [G loss: 1.192] [G acc: 0.191]\n",
      "5741 [D loss: (0.586)(R 0.550, F 0.623)] [D acc: (0.656)(0.621, 0.691)] [G loss: 1.131] [G acc: 0.145]\n",
      "5742 [D loss: (0.587)(R 0.599, F 0.575)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.203] [G acc: 0.164]\n",
      "5743 [D loss: (0.581)(R 0.623, F 0.538)] [D acc: (0.674)(0.586, 0.762)] [G loss: 1.285] [G acc: 0.121]\n",
      "5744 [D loss: (0.597)(R 0.619, F 0.575)] [D acc: (0.709)(0.609, 0.809)] [G loss: 1.217] [G acc: 0.137]\n",
      "5745 [D loss: (0.553)(R 0.580, F 0.526)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.210] [G acc: 0.129]\n",
      "5746 [D loss: (0.610)(R 0.612, F 0.607)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.103] [G acc: 0.133]\n",
      "5747 [D loss: (0.578)(R 0.567, F 0.589)] [D acc: (0.719)(0.648, 0.789)] [G loss: 1.193] [G acc: 0.098]\n",
      "5748 [D loss: (0.572)(R 0.585, F 0.560)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.221] [G acc: 0.164]\n",
      "5749 [D loss: (0.551)(R 0.577, F 0.525)] [D acc: (0.668)(0.590, 0.746)] [G loss: 1.198] [G acc: 0.164]\n",
      "5750 [D loss: (0.573)(R 0.551, F 0.595)] [D acc: (0.689)(0.641, 0.738)] [G loss: 1.258] [G acc: 0.152]\n",
      "5751 [D loss: (0.549)(R 0.549, F 0.549)] [D acc: (0.727)(0.652, 0.801)] [G loss: 1.320] [G acc: 0.090]\n",
      "5752 [D loss: (0.569)(R 0.564, F 0.574)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.174] [G acc: 0.184]\n",
      "5753 [D loss: (0.636)(R 0.581, F 0.692)] [D acc: (0.672)(0.637, 0.707)] [G loss: 1.285] [G acc: 0.098]\n",
      "5754 [D loss: (0.610)(R 0.677, F 0.543)] [D acc: (0.684)(0.547, 0.820)] [G loss: 1.151] [G acc: 0.141]\n",
      "5755 [D loss: (0.593)(R 0.589, F 0.597)] [D acc: (0.670)(0.590, 0.750)] [G loss: 1.149] [G acc: 0.141]\n",
      "5756 [D loss: (0.591)(R 0.639, F 0.543)] [D acc: (0.654)(0.574, 0.734)] [G loss: 1.138] [G acc: 0.168]\n",
      "5757 [D loss: (0.546)(R 0.551, F 0.541)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.166] [G acc: 0.160]\n",
      "5758 [D loss: (0.563)(R 0.599, F 0.527)] [D acc: (0.723)(0.637, 0.809)] [G loss: 1.201] [G acc: 0.125]\n",
      "5759 [D loss: (0.569)(R 0.552, F 0.587)] [D acc: (0.707)(0.668, 0.746)] [G loss: 1.229] [G acc: 0.180]\n",
      "5760 [D loss: (0.594)(R 0.603, F 0.585)] [D acc: (0.660)(0.574, 0.746)] [G loss: 1.234] [G acc: 0.133]\n",
      "5761 [D loss: (0.599)(R 0.655, F 0.542)] [D acc: (0.689)(0.570, 0.809)] [G loss: 1.389] [G acc: 0.094]\n",
      "5762 [D loss: (0.645)(R 0.695, F 0.595)] [D acc: (0.672)(0.562, 0.781)] [G loss: 1.148] [G acc: 0.172]\n",
      "5763 [D loss: (0.583)(R 0.592, F 0.573)] [D acc: (0.695)(0.613, 0.777)] [G loss: 1.124] [G acc: 0.172]\n",
      "5764 [D loss: (0.592)(R 0.567, F 0.618)] [D acc: (0.705)(0.660, 0.750)] [G loss: 1.100] [G acc: 0.160]\n",
      "5765 [D loss: (0.582)(R 0.607, F 0.557)] [D acc: (0.686)(0.605, 0.766)] [G loss: 1.109] [G acc: 0.164]\n",
      "5766 [D loss: (0.608)(R 0.562, F 0.653)] [D acc: (0.678)(0.660, 0.695)] [G loss: 1.122] [G acc: 0.176]\n",
      "5767 [D loss: (0.583)(R 0.624, F 0.542)] [D acc: (0.676)(0.594, 0.758)] [G loss: 1.133] [G acc: 0.172]\n",
      "5768 [D loss: (0.616)(R 0.593, F 0.640)] [D acc: (0.680)(0.598, 0.762)] [G loss: 1.174] [G acc: 0.164]\n",
      "5769 [D loss: (0.573)(R 0.575, F 0.572)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.140] [G acc: 0.160]\n",
      "5770 [D loss: (0.653)(R 0.670, F 0.636)] [D acc: (0.639)(0.547, 0.730)] [G loss: 1.137] [G acc: 0.152]\n",
      "5771 [D loss: (0.569)(R 0.617, F 0.521)] [D acc: (0.715)(0.621, 0.809)] [G loss: 1.174] [G acc: 0.102]\n",
      "5772 [D loss: (0.597)(R 0.588, F 0.606)] [D acc: (0.689)(0.641, 0.738)] [G loss: 1.114] [G acc: 0.121]\n",
      "5773 [D loss: (0.593)(R 0.598, F 0.588)] [D acc: (0.697)(0.629, 0.766)] [G loss: 1.215] [G acc: 0.121]\n",
      "5774 [D loss: (0.579)(R 0.611, F 0.547)] [D acc: (0.676)(0.602, 0.750)] [G loss: 1.222] [G acc: 0.172]\n",
      "5775 [D loss: (0.561)(R 0.567, F 0.554)] [D acc: (0.701)(0.617, 0.785)] [G loss: 1.141] [G acc: 0.156]\n",
      "5776 [D loss: (0.627)(R 0.643, F 0.611)] [D acc: (0.641)(0.574, 0.707)] [G loss: 1.115] [G acc: 0.141]\n",
      "5777 [D loss: (0.554)(R 0.554, F 0.555)] [D acc: (0.723)(0.668, 0.777)] [G loss: 1.221] [G acc: 0.133]\n",
      "5778 [D loss: (0.637)(R 0.654, F 0.619)] [D acc: (0.672)(0.566, 0.777)] [G loss: 1.134] [G acc: 0.160]\n",
      "5779 [D loss: (0.583)(R 0.608, F 0.557)] [D acc: (0.688)(0.605, 0.770)] [G loss: 1.096] [G acc: 0.156]\n",
      "5780 [D loss: (0.601)(R 0.585, F 0.616)] [D acc: (0.680)(0.641, 0.719)] [G loss: 1.127] [G acc: 0.133]\n",
      "5781 [D loss: (0.586)(R 0.633, F 0.538)] [D acc: (0.689)(0.594, 0.785)] [G loss: 1.195] [G acc: 0.172]\n",
      "5782 [D loss: (0.571)(R 0.614, F 0.528)] [D acc: (0.707)(0.598, 0.816)] [G loss: 1.163] [G acc: 0.117]\n",
      "5783 [D loss: (0.579)(R 0.584, F 0.574)] [D acc: (0.676)(0.605, 0.746)] [G loss: 1.181] [G acc: 0.133]\n",
      "5784 [D loss: (0.623)(R 0.609, F 0.638)] [D acc: (0.668)(0.609, 0.727)] [G loss: 1.191] [G acc: 0.109]\n",
      "5785 [D loss: (0.636)(R 0.646, F 0.627)] [D acc: (0.648)(0.559, 0.738)] [G loss: 1.083] [G acc: 0.191]\n",
      "5786 [D loss: (0.558)(R 0.584, F 0.533)] [D acc: (0.693)(0.629, 0.758)] [G loss: 1.160] [G acc: 0.164]\n",
      "5787 [D loss: (0.598)(R 0.617, F 0.580)] [D acc: (0.666)(0.602, 0.730)] [G loss: 1.099] [G acc: 0.164]\n",
      "5788 [D loss: (0.571)(R 0.566, F 0.576)] [D acc: (0.674)(0.648, 0.699)] [G loss: 1.194] [G acc: 0.168]\n",
      "5789 [D loss: (0.520)(R 0.516, F 0.523)] [D acc: (0.748)(0.707, 0.789)] [G loss: 1.378] [G acc: 0.062]\n",
      "5790 [D loss: (0.579)(R 0.554, F 0.605)] [D acc: (0.697)(0.668, 0.727)] [G loss: 1.199] [G acc: 0.141]\n",
      "5791 [D loss: (0.596)(R 0.543, F 0.649)] [D acc: (0.678)(0.652, 0.703)] [G loss: 1.118] [G acc: 0.156]\n",
      "5792 [D loss: (0.611)(R 0.582, F 0.640)] [D acc: (0.688)(0.676, 0.699)] [G loss: 1.156] [G acc: 0.137]\n",
      "5793 [D loss: (0.588)(R 0.588, F 0.588)] [D acc: (0.680)(0.621, 0.738)] [G loss: 1.158] [G acc: 0.160]\n",
      "5794 [D loss: (0.537)(R 0.555, F 0.520)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.191] [G acc: 0.172]\n",
      "5795 [D loss: (0.565)(R 0.583, F 0.547)] [D acc: (0.689)(0.605, 0.773)] [G loss: 1.190] [G acc: 0.148]\n",
      "5796 [D loss: (0.617)(R 0.626, F 0.608)] [D acc: (0.662)(0.586, 0.738)] [G loss: 1.229] [G acc: 0.145]\n",
      "5797 [D loss: (0.554)(R 0.545, F 0.562)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.172] [G acc: 0.164]\n",
      "5798 [D loss: (0.564)(R 0.529, F 0.599)] [D acc: (0.730)(0.680, 0.781)] [G loss: 1.250] [G acc: 0.090]\n",
      "5799 [D loss: (0.617)(R 0.621, F 0.612)] [D acc: (0.662)(0.602, 0.723)] [G loss: 1.311] [G acc: 0.125]\n",
      "5800 [D loss: (0.543)(R 0.595, F 0.491)] [D acc: (0.727)(0.633, 0.820)] [G loss: 1.242] [G acc: 0.109]\n",
      "5801 [D loss: (0.560)(R 0.509, F 0.612)] [D acc: (0.693)(0.691, 0.695)] [G loss: 1.213] [G acc: 0.168]\n",
      "5802 [D loss: (0.599)(R 0.611, F 0.586)] [D acc: (0.674)(0.613, 0.734)] [G loss: 1.134] [G acc: 0.180]\n",
      "5803 [D loss: (0.552)(R 0.551, F 0.553)] [D acc: (0.711)(0.676, 0.746)] [G loss: 1.154] [G acc: 0.180]\n",
      "5804 [D loss: (0.572)(R 0.581, F 0.563)] [D acc: (0.713)(0.648, 0.777)] [G loss: 1.110] [G acc: 0.176]\n",
      "5805 [D loss: (0.625)(R 0.657, F 0.593)] [D acc: (0.676)(0.590, 0.762)] [G loss: 1.217] [G acc: 0.152]\n",
      "5806 [D loss: (0.607)(R 0.600, F 0.615)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.214] [G acc: 0.141]\n",
      "5807 [D loss: (0.533)(R 0.538, F 0.529)] [D acc: (0.740)(0.676, 0.805)] [G loss: 1.191] [G acc: 0.168]\n",
      "5808 [D loss: (0.608)(R 0.627, F 0.589)] [D acc: (0.680)(0.625, 0.734)] [G loss: 1.214] [G acc: 0.137]\n",
      "5809 [D loss: (0.611)(R 0.664, F 0.558)] [D acc: (0.666)(0.547, 0.785)] [G loss: 1.154] [G acc: 0.137]\n",
      "5810 [D loss: (0.568)(R 0.586, F 0.549)] [D acc: (0.695)(0.625, 0.766)] [G loss: 1.146] [G acc: 0.211]\n",
      "5811 [D loss: (0.539)(R 0.546, F 0.532)] [D acc: (0.715)(0.645, 0.785)] [G loss: 1.236] [G acc: 0.141]\n",
      "5812 [D loss: (0.593)(R 0.541, F 0.644)] [D acc: (0.662)(0.625, 0.699)] [G loss: 1.218] [G acc: 0.148]\n",
      "5813 [D loss: (0.573)(R 0.628, F 0.518)] [D acc: (0.703)(0.578, 0.828)] [G loss: 1.275] [G acc: 0.117]\n",
      "5814 [D loss: (0.601)(R 0.619, F 0.584)] [D acc: (0.674)(0.590, 0.758)] [G loss: 1.211] [G acc: 0.172]\n",
      "5815 [D loss: (0.581)(R 0.605, F 0.558)] [D acc: (0.682)(0.586, 0.777)] [G loss: 1.153] [G acc: 0.160]\n",
      "5816 [D loss: (0.623)(R 0.602, F 0.643)] [D acc: (0.660)(0.602, 0.719)] [G loss: 1.230] [G acc: 0.109]\n",
      "5817 [D loss: (0.580)(R 0.604, F 0.556)] [D acc: (0.668)(0.605, 0.730)] [G loss: 1.164] [G acc: 0.168]\n",
      "5818 [D loss: (0.606)(R 0.628, F 0.585)] [D acc: (0.668)(0.574, 0.762)] [G loss: 1.146] [G acc: 0.195]\n",
      "5819 [D loss: (0.600)(R 0.641, F 0.559)] [D acc: (0.668)(0.570, 0.766)] [G loss: 1.109] [G acc: 0.184]\n",
      "5820 [D loss: (0.598)(R 0.605, F 0.591)] [D acc: (0.682)(0.641, 0.723)] [G loss: 1.172] [G acc: 0.141]\n",
      "5821 [D loss: (0.601)(R 0.617, F 0.585)] [D acc: (0.682)(0.582, 0.781)] [G loss: 1.168] [G acc: 0.125]\n",
      "5822 [D loss: (0.572)(R 0.596, F 0.548)] [D acc: (0.693)(0.602, 0.785)] [G loss: 1.209] [G acc: 0.113]\n",
      "5823 [D loss: (0.541)(R 0.604, F 0.479)] [D acc: (0.717)(0.594, 0.840)] [G loss: 1.309] [G acc: 0.070]\n",
      "5824 [D loss: (0.564)(R 0.555, F 0.574)] [D acc: (0.713)(0.633, 0.793)] [G loss: 1.244] [G acc: 0.137]\n",
      "5825 [D loss: (0.576)(R 0.603, F 0.549)] [D acc: (0.693)(0.594, 0.793)] [G loss: 1.271] [G acc: 0.129]\n",
      "5826 [D loss: (0.558)(R 0.568, F 0.547)] [D acc: (0.717)(0.645, 0.789)] [G loss: 1.275] [G acc: 0.168]\n",
      "5827 [D loss: (0.607)(R 0.609, F 0.605)] [D acc: (0.664)(0.582, 0.746)] [G loss: 1.255] [G acc: 0.113]\n",
      "5828 [D loss: (0.629)(R 0.649, F 0.608)] [D acc: (0.664)(0.586, 0.742)] [G loss: 1.131] [G acc: 0.160]\n",
      "5829 [D loss: (0.618)(R 0.662, F 0.574)] [D acc: (0.672)(0.578, 0.766)] [G loss: 1.221] [G acc: 0.129]\n",
      "5830 [D loss: (0.633)(R 0.732, F 0.533)] [D acc: (0.643)(0.500, 0.785)] [G loss: 1.136] [G acc: 0.168]\n",
      "5831 [D loss: (0.570)(R 0.535, F 0.604)] [D acc: (0.693)(0.676, 0.711)] [G loss: 1.170] [G acc: 0.133]\n",
      "5832 [D loss: (0.584)(R 0.603, F 0.564)] [D acc: (0.664)(0.574, 0.754)] [G loss: 1.101] [G acc: 0.199]\n",
      "5833 [D loss: (0.533)(R 0.514, F 0.552)] [D acc: (0.742)(0.703, 0.781)] [G loss: 1.144] [G acc: 0.156]\n",
      "5834 [D loss: (0.597)(R 0.571, F 0.622)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.142] [G acc: 0.148]\n",
      "5835 [D loss: (0.607)(R 0.609, F 0.605)] [D acc: (0.658)(0.582, 0.734)] [G loss: 1.170] [G acc: 0.125]\n",
      "5836 [D loss: (0.601)(R 0.595, F 0.607)] [D acc: (0.682)(0.613, 0.750)] [G loss: 1.202] [G acc: 0.133]\n",
      "5837 [D loss: (0.532)(R 0.557, F 0.508)] [D acc: (0.740)(0.625, 0.855)] [G loss: 1.284] [G acc: 0.105]\n",
      "5838 [D loss: (0.574)(R 0.588, F 0.560)] [D acc: (0.686)(0.617, 0.754)] [G loss: 1.221] [G acc: 0.145]\n",
      "5839 [D loss: (0.575)(R 0.568, F 0.582)] [D acc: (0.707)(0.664, 0.750)] [G loss: 1.198] [G acc: 0.145]\n",
      "5840 [D loss: (0.590)(R 0.564, F 0.615)] [D acc: (0.654)(0.629, 0.680)] [G loss: 1.164] [G acc: 0.145]\n",
      "5841 [D loss: (0.584)(R 0.571, F 0.596)] [D acc: (0.688)(0.648, 0.727)] [G loss: 1.222] [G acc: 0.156]\n",
      "5842 [D loss: (0.583)(R 0.587, F 0.579)] [D acc: (0.688)(0.645, 0.730)] [G loss: 1.241] [G acc: 0.156]\n",
      "5843 [D loss: (0.567)(R 0.589, F 0.545)] [D acc: (0.689)(0.613, 0.766)] [G loss: 1.141] [G acc: 0.172]\n",
      "5844 [D loss: (0.636)(R 0.688, F 0.584)] [D acc: (0.633)(0.527, 0.738)] [G loss: 1.166] [G acc: 0.164]\n",
      "5845 [D loss: (0.566)(R 0.581, F 0.552)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.118] [G acc: 0.203]\n",
      "5846 [D loss: (0.539)(R 0.556, F 0.523)] [D acc: (0.723)(0.656, 0.789)] [G loss: 1.168] [G acc: 0.148]\n",
      "5847 [D loss: (0.582)(R 0.603, F 0.561)] [D acc: (0.680)(0.617, 0.742)] [G loss: 1.137] [G acc: 0.152]\n",
      "5848 [D loss: (0.615)(R 0.618, F 0.613)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.190] [G acc: 0.160]\n",
      "5849 [D loss: (0.547)(R 0.535, F 0.559)] [D acc: (0.754)(0.691, 0.816)] [G loss: 1.142] [G acc: 0.168]\n",
      "5850 [D loss: (0.603)(R 0.592, F 0.614)] [D acc: (0.684)(0.602, 0.766)] [G loss: 1.322] [G acc: 0.098]\n",
      "5851 [D loss: (0.577)(R 0.651, F 0.503)] [D acc: (0.682)(0.566, 0.797)] [G loss: 1.258] [G acc: 0.109]\n",
      "5852 [D loss: (0.600)(R 0.604, F 0.597)] [D acc: (0.674)(0.617, 0.730)] [G loss: 1.238] [G acc: 0.156]\n",
      "5853 [D loss: (0.603)(R 0.596, F 0.611)] [D acc: (0.672)(0.613, 0.730)] [G loss: 1.162] [G acc: 0.148]\n",
      "5854 [D loss: (0.577)(R 0.611, F 0.542)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.186] [G acc: 0.191]\n",
      "5855 [D loss: (0.559)(R 0.582, F 0.536)] [D acc: (0.691)(0.625, 0.758)] [G loss: 1.195] [G acc: 0.141]\n",
      "5856 [D loss: (0.646)(R 0.654, F 0.638)] [D acc: (0.658)(0.613, 0.703)] [G loss: 1.132] [G acc: 0.191]\n",
      "5857 [D loss: (0.614)(R 0.610, F 0.617)] [D acc: (0.646)(0.598, 0.695)] [G loss: 1.174] [G acc: 0.172]\n",
      "5858 [D loss: (0.589)(R 0.600, F 0.578)] [D acc: (0.670)(0.598, 0.742)] [G loss: 1.171] [G acc: 0.184]\n",
      "5859 [D loss: (0.577)(R 0.595, F 0.559)] [D acc: (0.693)(0.613, 0.773)] [G loss: 1.201] [G acc: 0.109]\n",
      "5860 [D loss: (0.588)(R 0.588, F 0.587)] [D acc: (0.691)(0.648, 0.734)] [G loss: 1.212] [G acc: 0.168]\n",
      "5861 [D loss: (0.584)(R 0.606, F 0.562)] [D acc: (0.684)(0.617, 0.750)] [G loss: 1.162] [G acc: 0.141]\n",
      "5862 [D loss: (0.585)(R 0.580, F 0.590)] [D acc: (0.693)(0.648, 0.738)] [G loss: 1.157] [G acc: 0.168]\n",
      "5863 [D loss: (0.610)(R 0.648, F 0.572)] [D acc: (0.662)(0.570, 0.754)] [G loss: 1.184] [G acc: 0.156]\n",
      "5864 [D loss: (0.578)(R 0.573, F 0.583)] [D acc: (0.680)(0.629, 0.730)] [G loss: 1.169] [G acc: 0.148]\n",
      "5865 [D loss: (0.547)(R 0.546, F 0.549)] [D acc: (0.727)(0.672, 0.781)] [G loss: 1.168] [G acc: 0.141]\n",
      "5866 [D loss: (0.611)(R 0.591, F 0.631)] [D acc: (0.684)(0.633, 0.734)] [G loss: 1.209] [G acc: 0.129]\n",
      "5867 [D loss: (0.584)(R 0.600, F 0.568)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.300] [G acc: 0.078]\n",
      "5868 [D loss: (0.600)(R 0.568, F 0.633)] [D acc: (0.662)(0.629, 0.695)] [G loss: 1.217] [G acc: 0.148]\n",
      "5869 [D loss: (0.600)(R 0.622, F 0.578)] [D acc: (0.660)(0.590, 0.730)] [G loss: 1.245] [G acc: 0.148]\n",
      "5870 [D loss: (0.596)(R 0.644, F 0.548)] [D acc: (0.676)(0.582, 0.770)] [G loss: 1.186] [G acc: 0.145]\n",
      "5871 [D loss: (0.555)(R 0.574, F 0.536)] [D acc: (0.715)(0.648, 0.781)] [G loss: 1.186] [G acc: 0.172]\n",
      "5872 [D loss: (0.557)(R 0.559, F 0.555)] [D acc: (0.680)(0.602, 0.758)] [G loss: 1.138] [G acc: 0.203]\n",
      "5873 [D loss: (0.606)(R 0.595, F 0.617)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.168] [G acc: 0.195]\n",
      "5874 [D loss: (0.596)(R 0.601, F 0.592)] [D acc: (0.652)(0.609, 0.695)] [G loss: 1.192] [G acc: 0.148]\n",
      "5875 [D loss: (0.635)(R 0.671, F 0.599)] [D acc: (0.623)(0.523, 0.723)] [G loss: 1.173] [G acc: 0.195]\n",
      "5876 [D loss: (0.578)(R 0.642, F 0.514)] [D acc: (0.721)(0.617, 0.824)] [G loss: 1.169] [G acc: 0.113]\n",
      "5877 [D loss: (0.579)(R 0.571, F 0.586)] [D acc: (0.707)(0.656, 0.758)] [G loss: 1.217] [G acc: 0.168]\n",
      "5878 [D loss: (0.549)(R 0.531, F 0.567)] [D acc: (0.707)(0.668, 0.746)] [G loss: 1.144] [G acc: 0.133]\n",
      "5879 [D loss: (0.585)(R 0.587, F 0.583)] [D acc: (0.680)(0.609, 0.750)] [G loss: 1.179] [G acc: 0.176]\n",
      "5880 [D loss: (0.620)(R 0.620, F 0.619)] [D acc: (0.643)(0.594, 0.691)] [G loss: 1.147] [G acc: 0.148]\n",
      "5881 [D loss: (0.589)(R 0.585, F 0.592)] [D acc: (0.697)(0.613, 0.781)] [G loss: 1.138] [G acc: 0.207]\n",
      "5882 [D loss: (0.649)(R 0.677, F 0.621)] [D acc: (0.615)(0.559, 0.672)] [G loss: 1.152] [G acc: 0.129]\n",
      "5883 [D loss: (0.575)(R 0.622, F 0.528)] [D acc: (0.688)(0.594, 0.781)] [G loss: 1.153] [G acc: 0.148]\n",
      "5884 [D loss: (0.581)(R 0.619, F 0.542)] [D acc: (0.699)(0.621, 0.777)] [G loss: 1.199] [G acc: 0.113]\n",
      "5885 [D loss: (0.600)(R 0.629, F 0.571)] [D acc: (0.686)(0.598, 0.773)] [G loss: 1.164] [G acc: 0.121]\n",
      "5886 [D loss: (0.615)(R 0.626, F 0.605)] [D acc: (0.693)(0.621, 0.766)] [G loss: 1.139] [G acc: 0.156]\n",
      "5887 [D loss: (0.571)(R 0.596, F 0.546)] [D acc: (0.697)(0.633, 0.762)] [G loss: 1.135] [G acc: 0.164]\n",
      "5888 [D loss: (0.582)(R 0.583, F 0.582)] [D acc: (0.699)(0.633, 0.766)] [G loss: 1.221] [G acc: 0.160]\n",
      "5889 [D loss: (0.603)(R 0.594, F 0.611)] [D acc: (0.658)(0.582, 0.734)] [G loss: 1.148] [G acc: 0.121]\n",
      "5890 [D loss: (0.591)(R 0.600, F 0.582)] [D acc: (0.693)(0.633, 0.754)] [G loss: 1.146] [G acc: 0.148]\n",
      "5891 [D loss: (0.587)(R 0.586, F 0.588)] [D acc: (0.691)(0.629, 0.754)] [G loss: 1.089] [G acc: 0.184]\n",
      "5892 [D loss: (0.624)(R 0.603, F 0.646)] [D acc: (0.652)(0.594, 0.711)] [G loss: 1.145] [G acc: 0.168]\n",
      "5893 [D loss: (0.578)(R 0.590, F 0.566)] [D acc: (0.699)(0.637, 0.762)] [G loss: 1.131] [G acc: 0.188]\n",
      "5894 [D loss: (0.585)(R 0.620, F 0.551)] [D acc: (0.713)(0.625, 0.801)] [G loss: 1.143] [G acc: 0.211]\n",
      "5895 [D loss: (0.582)(R 0.541, F 0.624)] [D acc: (0.684)(0.672, 0.695)] [G loss: 1.234] [G acc: 0.152]\n",
      "5896 [D loss: (0.525)(R 0.562, F 0.487)] [D acc: (0.762)(0.668, 0.855)] [G loss: 1.327] [G acc: 0.098]\n",
      "5897 [D loss: (0.599)(R 0.612, F 0.587)] [D acc: (0.682)(0.629, 0.734)] [G loss: 1.127] [G acc: 0.148]\n",
      "5898 [D loss: (0.596)(R 0.559, F 0.633)] [D acc: (0.674)(0.660, 0.688)] [G loss: 1.158] [G acc: 0.145]\n",
      "5899 [D loss: (0.591)(R 0.583, F 0.599)] [D acc: (0.701)(0.660, 0.742)] [G loss: 1.122] [G acc: 0.152]\n",
      "5900 [D loss: (0.579)(R 0.568, F 0.591)] [D acc: (0.676)(0.641, 0.711)] [G loss: 1.129] [G acc: 0.176]\n",
      "5901 [D loss: (0.599)(R 0.620, F 0.577)] [D acc: (0.666)(0.594, 0.738)] [G loss: 1.135] [G acc: 0.164]\n",
      "5902 [D loss: (0.560)(R 0.581, F 0.540)] [D acc: (0.697)(0.617, 0.777)] [G loss: 1.145] [G acc: 0.160]\n",
      "5903 [D loss: (0.587)(R 0.630, F 0.544)] [D acc: (0.691)(0.605, 0.777)] [G loss: 1.103] [G acc: 0.156]\n",
      "5904 [D loss: (0.587)(R 0.596, F 0.578)] [D acc: (0.650)(0.602, 0.699)] [G loss: 1.124] [G acc: 0.176]\n",
      "5905 [D loss: (0.592)(R 0.580, F 0.604)] [D acc: (0.656)(0.625, 0.688)] [G loss: 1.159] [G acc: 0.137]\n",
      "5906 [D loss: (0.598)(R 0.587, F 0.609)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.143] [G acc: 0.148]\n",
      "5907 [D loss: (0.580)(R 0.602, F 0.558)] [D acc: (0.693)(0.625, 0.762)] [G loss: 1.179] [G acc: 0.113]\n",
      "5908 [D loss: (0.590)(R 0.614, F 0.567)] [D acc: (0.674)(0.598, 0.750)] [G loss: 1.270] [G acc: 0.152]\n",
      "5909 [D loss: (0.580)(R 0.660, F 0.500)] [D acc: (0.711)(0.590, 0.832)] [G loss: 1.268] [G acc: 0.102]\n",
      "5910 [D loss: (0.581)(R 0.565, F 0.597)] [D acc: (0.713)(0.672, 0.754)] [G loss: 1.172] [G acc: 0.199]\n",
      "5911 [D loss: (0.606)(R 0.617, F 0.596)] [D acc: (0.672)(0.605, 0.738)] [G loss: 1.191] [G acc: 0.184]\n",
      "5912 [D loss: (0.604)(R 0.593, F 0.615)] [D acc: (0.668)(0.621, 0.715)] [G loss: 1.140] [G acc: 0.168]\n",
      "5913 [D loss: (0.586)(R 0.545, F 0.627)] [D acc: (0.691)(0.664, 0.719)] [G loss: 1.108] [G acc: 0.152]\n",
      "5914 [D loss: (0.574)(R 0.612, F 0.535)] [D acc: (0.686)(0.574, 0.797)] [G loss: 1.167] [G acc: 0.184]\n",
      "5915 [D loss: (0.570)(R 0.574, F 0.565)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.182] [G acc: 0.145]\n",
      "5916 [D loss: (0.585)(R 0.568, F 0.602)] [D acc: (0.697)(0.641, 0.754)] [G loss: 1.161] [G acc: 0.172]\n",
      "5917 [D loss: (0.578)(R 0.599, F 0.557)] [D acc: (0.695)(0.629, 0.762)] [G loss: 1.262] [G acc: 0.133]\n",
      "5918 [D loss: (0.593)(R 0.567, F 0.619)] [D acc: (0.695)(0.672, 0.719)] [G loss: 1.167] [G acc: 0.141]\n",
      "5919 [D loss: (0.601)(R 0.610, F 0.593)] [D acc: (0.660)(0.598, 0.723)] [G loss: 1.214] [G acc: 0.129]\n",
      "5920 [D loss: (0.572)(R 0.603, F 0.540)] [D acc: (0.666)(0.566, 0.766)] [G loss: 1.256] [G acc: 0.102]\n",
      "5921 [D loss: (0.541)(R 0.510, F 0.572)] [D acc: (0.734)(0.695, 0.773)] [G loss: 1.216] [G acc: 0.137]\n",
      "5922 [D loss: (0.569)(R 0.582, F 0.557)] [D acc: (0.697)(0.637, 0.758)] [G loss: 1.202] [G acc: 0.121]\n",
      "5923 [D loss: (0.573)(R 0.572, F 0.573)] [D acc: (0.707)(0.629, 0.785)] [G loss: 1.184] [G acc: 0.207]\n",
      "5924 [D loss: (0.595)(R 0.617, F 0.573)] [D acc: (0.695)(0.645, 0.746)] [G loss: 1.285] [G acc: 0.113]\n",
      "5925 [D loss: (0.543)(R 0.524, F 0.561)] [D acc: (0.719)(0.715, 0.723)] [G loss: 1.211] [G acc: 0.156]\n",
      "5926 [D loss: (0.579)(R 0.578, F 0.581)] [D acc: (0.703)(0.625, 0.781)] [G loss: 1.296] [G acc: 0.133]\n",
      "5927 [D loss: (0.581)(R 0.535, F 0.627)] [D acc: (0.689)(0.672, 0.707)] [G loss: 1.208] [G acc: 0.160]\n",
      "5928 [D loss: (0.559)(R 0.584, F 0.533)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.230] [G acc: 0.102]\n",
      "5929 [D loss: (0.648)(R 0.684, F 0.612)] [D acc: (0.664)(0.598, 0.730)] [G loss: 1.166] [G acc: 0.164]\n",
      "5930 [D loss: (0.573)(R 0.547, F 0.600)] [D acc: (0.697)(0.648, 0.746)] [G loss: 1.166] [G acc: 0.125]\n",
      "5931 [D loss: (0.562)(R 0.581, F 0.542)] [D acc: (0.697)(0.625, 0.770)] [G loss: 1.180] [G acc: 0.164]\n",
      "5932 [D loss: (0.572)(R 0.590, F 0.553)] [D acc: (0.709)(0.641, 0.777)] [G loss: 1.192] [G acc: 0.164]\n",
      "5933 [D loss: (0.599)(R 0.569, F 0.630)] [D acc: (0.689)(0.684, 0.695)] [G loss: 1.139] [G acc: 0.211]\n",
      "5934 [D loss: (0.585)(R 0.579, F 0.590)] [D acc: (0.697)(0.656, 0.738)] [G loss: 1.129] [G acc: 0.227]\n",
      "5935 [D loss: (0.571)(R 0.549, F 0.594)] [D acc: (0.717)(0.695, 0.738)] [G loss: 1.190] [G acc: 0.176]\n",
      "5936 [D loss: (0.577)(R 0.560, F 0.593)] [D acc: (0.684)(0.660, 0.707)] [G loss: 1.187] [G acc: 0.168]\n",
      "5937 [D loss: (0.571)(R 0.600, F 0.542)] [D acc: (0.713)(0.625, 0.801)] [G loss: 1.220] [G acc: 0.203]\n",
      "5938 [D loss: (0.607)(R 0.659, F 0.555)] [D acc: (0.656)(0.555, 0.758)] [G loss: 1.133] [G acc: 0.172]\n",
      "5939 [D loss: (0.611)(R 0.618, F 0.604)] [D acc: (0.662)(0.621, 0.703)] [G loss: 1.147] [G acc: 0.160]\n",
      "5940 [D loss: (0.575)(R 0.571, F 0.580)] [D acc: (0.668)(0.613, 0.723)] [G loss: 1.165] [G acc: 0.145]\n",
      "5941 [D loss: (0.565)(R 0.614, F 0.517)] [D acc: (0.699)(0.602, 0.797)] [G loss: 1.261] [G acc: 0.121]\n",
      "5942 [D loss: (0.570)(R 0.560, F 0.580)] [D acc: (0.723)(0.672, 0.773)] [G loss: 1.222] [G acc: 0.164]\n",
      "5943 [D loss: (0.555)(R 0.529, F 0.582)] [D acc: (0.729)(0.691, 0.766)] [G loss: 1.281] [G acc: 0.148]\n",
      "5944 [D loss: (0.645)(R 0.628, F 0.662)] [D acc: (0.648)(0.617, 0.680)] [G loss: 1.212] [G acc: 0.172]\n",
      "5945 [D loss: (0.602)(R 0.659, F 0.545)] [D acc: (0.672)(0.566, 0.777)] [G loss: 1.189] [G acc: 0.152]\n",
      "5946 [D loss: (0.601)(R 0.604, F 0.597)] [D acc: (0.674)(0.633, 0.715)] [G loss: 1.136] [G acc: 0.207]\n",
      "5947 [D loss: (0.542)(R 0.507, F 0.577)] [D acc: (0.721)(0.695, 0.746)] [G loss: 1.202] [G acc: 0.145]\n",
      "5948 [D loss: (0.589)(R 0.533, F 0.645)] [D acc: (0.707)(0.676, 0.738)] [G loss: 1.099] [G acc: 0.191]\n",
      "5949 [D loss: (0.568)(R 0.597, F 0.539)] [D acc: (0.705)(0.617, 0.793)] [G loss: 1.176] [G acc: 0.172]\n",
      "5950 [D loss: (0.582)(R 0.595, F 0.568)] [D acc: (0.691)(0.668, 0.715)] [G loss: 1.222] [G acc: 0.121]\n",
      "5951 [D loss: (0.627)(R 0.674, F 0.581)] [D acc: (0.658)(0.551, 0.766)] [G loss: 1.109] [G acc: 0.176]\n",
      "5952 [D loss: (0.597)(R 0.599, F 0.594)] [D acc: (0.699)(0.656, 0.742)] [G loss: 1.150] [G acc: 0.129]\n",
      "5953 [D loss: (0.597)(R 0.636, F 0.559)] [D acc: (0.689)(0.609, 0.770)] [G loss: 1.190] [G acc: 0.219]\n",
      "5954 [D loss: (0.553)(R 0.527, F 0.578)] [D acc: (0.693)(0.656, 0.730)] [G loss: 1.054] [G acc: 0.191]\n",
      "5955 [D loss: (0.593)(R 0.593, F 0.594)] [D acc: (0.684)(0.613, 0.754)] [G loss: 1.130] [G acc: 0.203]\n",
      "5956 [D loss: (0.614)(R 0.630, F 0.598)] [D acc: (0.658)(0.598, 0.719)] [G loss: 1.120] [G acc: 0.164]\n",
      "5957 [D loss: (0.581)(R 0.584, F 0.577)] [D acc: (0.688)(0.609, 0.766)] [G loss: 1.176] [G acc: 0.199]\n",
      "5958 [D loss: (0.584)(R 0.662, F 0.506)] [D acc: (0.689)(0.551, 0.828)] [G loss: 1.343] [G acc: 0.082]\n",
      "5959 [D loss: (0.572)(R 0.572, F 0.571)] [D acc: (0.705)(0.656, 0.754)] [G loss: 1.205] [G acc: 0.180]\n",
      "5960 [D loss: (0.613)(R 0.605, F 0.621)] [D acc: (0.686)(0.613, 0.758)] [G loss: 1.175] [G acc: 0.148]\n",
      "5961 [D loss: (0.600)(R 0.608, F 0.591)] [D acc: (0.676)(0.586, 0.766)] [G loss: 1.146] [G acc: 0.191]\n",
      "5962 [D loss: (0.579)(R 0.613, F 0.545)] [D acc: (0.709)(0.625, 0.793)] [G loss: 1.190] [G acc: 0.121]\n",
      "5963 [D loss: (0.587)(R 0.577, F 0.598)] [D acc: (0.693)(0.652, 0.734)] [G loss: 1.124] [G acc: 0.164]\n",
      "5964 [D loss: (0.587)(R 0.568, F 0.606)] [D acc: (0.703)(0.656, 0.750)] [G loss: 1.137] [G acc: 0.184]\n",
      "5965 [D loss: (0.602)(R 0.636, F 0.567)] [D acc: (0.662)(0.574, 0.750)] [G loss: 1.112] [G acc: 0.145]\n",
      "5966 [D loss: (0.565)(R 0.561, F 0.569)] [D acc: (0.707)(0.648, 0.766)] [G loss: 1.168] [G acc: 0.129]\n",
      "5967 [D loss: (0.601)(R 0.574, F 0.628)] [D acc: (0.654)(0.633, 0.676)] [G loss: 1.153] [G acc: 0.133]\n",
      "5968 [D loss: (0.573)(R 0.620, F 0.527)] [D acc: (0.688)(0.578, 0.797)] [G loss: 1.168] [G acc: 0.160]\n",
      "5969 [D loss: (0.601)(R 0.620, F 0.582)] [D acc: (0.678)(0.613, 0.742)] [G loss: 1.177] [G acc: 0.176]\n",
      "5970 [D loss: (0.602)(R 0.646, F 0.558)] [D acc: (0.688)(0.629, 0.746)] [G loss: 1.166] [G acc: 0.176]\n",
      "5971 [D loss: (0.590)(R 0.542, F 0.639)] [D acc: (0.713)(0.707, 0.719)] [G loss: 1.156] [G acc: 0.176]\n",
      "5972 [D loss: (0.564)(R 0.602, F 0.525)] [D acc: (0.689)(0.598, 0.781)] [G loss: 1.156] [G acc: 0.148]\n",
      "5973 [D loss: (0.611)(R 0.583, F 0.639)] [D acc: (0.695)(0.637, 0.754)] [G loss: 1.142] [G acc: 0.191]\n",
      "5974 [D loss: (0.572)(R 0.623, F 0.521)] [D acc: (0.686)(0.590, 0.781)] [G loss: 1.166] [G acc: 0.156]\n",
      "5975 [D loss: (0.607)(R 0.619, F 0.595)] [D acc: (0.662)(0.617, 0.707)] [G loss: 1.102] [G acc: 0.184]\n",
      "5976 [D loss: (0.593)(R 0.552, F 0.633)] [D acc: (0.674)(0.648, 0.699)] [G loss: 1.082] [G acc: 0.176]\n",
      "5977 [D loss: (0.581)(R 0.586, F 0.577)] [D acc: (0.691)(0.633, 0.750)] [G loss: 1.125] [G acc: 0.180]\n",
      "5978 [D loss: (0.598)(R 0.595, F 0.601)] [D acc: (0.660)(0.629, 0.691)] [G loss: 1.157] [G acc: 0.168]\n",
      "5979 [D loss: (0.613)(R 0.617, F 0.608)] [D acc: (0.691)(0.641, 0.742)] [G loss: 1.137] [G acc: 0.184]\n",
      "5980 [D loss: (0.608)(R 0.626, F 0.591)] [D acc: (0.664)(0.594, 0.734)] [G loss: 1.081] [G acc: 0.184]\n",
      "5981 [D loss: (0.553)(R 0.527, F 0.579)] [D acc: (0.732)(0.688, 0.777)] [G loss: 1.199] [G acc: 0.121]\n",
      "5982 [D loss: (0.584)(R 0.582, F 0.586)] [D acc: (0.684)(0.641, 0.727)] [G loss: 1.220] [G acc: 0.141]\n",
      "5983 [D loss: (0.587)(R 0.606, F 0.567)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.306] [G acc: 0.102]\n",
      "5984 [D loss: (0.577)(R 0.599, F 0.556)] [D acc: (0.678)(0.598, 0.758)] [G loss: 1.202] [G acc: 0.117]\n",
      "5985 [D loss: (0.580)(R 0.570, F 0.589)] [D acc: (0.693)(0.660, 0.727)] [G loss: 1.197] [G acc: 0.152]\n",
      "5986 [D loss: (0.620)(R 0.639, F 0.600)] [D acc: (0.656)(0.570, 0.742)] [G loss: 1.151] [G acc: 0.152]\n",
      "5987 [D loss: (0.560)(R 0.581, F 0.539)] [D acc: (0.711)(0.637, 0.785)] [G loss: 1.215] [G acc: 0.137]\n",
      "5988 [D loss: (0.556)(R 0.559, F 0.553)] [D acc: (0.734)(0.707, 0.762)] [G loss: 1.201] [G acc: 0.160]\n",
      "5989 [D loss: (0.630)(R 0.647, F 0.613)] [D acc: (0.646)(0.582, 0.711)] [G loss: 1.159] [G acc: 0.176]\n",
      "5990 [D loss: (0.574)(R 0.565, F 0.582)] [D acc: (0.709)(0.660, 0.758)] [G loss: 1.239] [G acc: 0.102]\n",
      "5991 [D loss: (0.568)(R 0.592, F 0.543)] [D acc: (0.688)(0.641, 0.734)] [G loss: 1.280] [G acc: 0.145]\n",
      "5992 [D loss: (0.533)(R 0.541, F 0.524)] [D acc: (0.734)(0.680, 0.789)] [G loss: 1.237] [G acc: 0.129]\n",
      "5993 [D loss: (0.621)(R 0.579, F 0.664)] [D acc: (0.680)(0.664, 0.695)] [G loss: 1.129] [G acc: 0.184]\n",
      "5994 [D loss: (0.574)(R 0.568, F 0.579)] [D acc: (0.699)(0.645, 0.754)] [G loss: 1.141] [G acc: 0.184]\n",
      "5995 [D loss: (0.571)(R 0.584, F 0.558)] [D acc: (0.721)(0.668, 0.773)] [G loss: 1.125] [G acc: 0.184]\n",
      "5996 [D loss: (0.577)(R 0.556, F 0.597)] [D acc: (0.703)(0.684, 0.723)] [G loss: 1.151] [G acc: 0.160]\n",
      "5997 [D loss: (0.601)(R 0.606, F 0.596)] [D acc: (0.666)(0.637, 0.695)] [G loss: 1.206] [G acc: 0.168]\n",
      "5998 [D loss: (0.596)(R 0.609, F 0.582)] [D acc: (0.674)(0.602, 0.746)] [G loss: 1.277] [G acc: 0.113]\n",
      "5999 [D loss: (0.585)(R 0.571, F 0.600)] [D acc: (0.688)(0.637, 0.738)] [G loss: 1.234] [G acc: 0.145]\n"
     ]
    }
   ],
   "source": [
    "gan.train(     \n",
    "    x_train\n",
    "    , batch_size = BATCH_SIZE\n",
    "    , epochs = EPOCHS\n",
    "    , run_folder = RUN_FOLDER\n",
    "    , print_every_n_batches = PRINT_EVERY_N_BATCHES\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BqMo_Ua-nU3z"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.plot([x[0] for x in gan.d_losses], color='black', linewidth=0.25)\n",
    "\n",
    "plt.plot([x[1] for x in gan.d_losses], color='green', linewidth=0.25)\n",
    "plt.plot([x[2] for x in gan.d_losses], color='red', linewidth=0.25)\n",
    "plt.plot([x[0] for x in gan.g_losses], color='orange', linewidth=0.25)\n",
    "\n",
    "plt.xlabel('batch', fontsize=18)\n",
    "plt.ylabel('loss', fontsize=16)\n",
    "\n",
    "plt.xlim(0, 2000)\n",
    "plt.ylim(0, 2)\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig(os.path.join(RUN_FOLDER, \"lossBatch.png\"), dpi=1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "kqMA5LtxnU33"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.plot([x[3] for x in gan.d_losses], color='black', linewidth=0.25)\n",
    "plt.plot([x[4] for x in gan.d_losses], color='green', linewidth=0.25)\n",
    "plt.plot([x[5] for x in gan.d_losses], color='red', linewidth=0.25)\n",
    "plt.plot([x[1] for x in gan.g_losses], color='orange', linewidth=0.25)\n",
    "\n",
    "plt.xlabel('batch', fontsize=18)\n",
    "plt.ylabel('accuracy', fontsize=16)\n",
    "\n",
    "plt.xlim(0, 2000)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "dy-0vn19nU37"
   },
   "outputs": [],
   "source": [
    "fig.savefig(os.path.join(RUN_FOLDER, \"accuracyBatch.png\"), dpi=1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "04_01_gan_camel_train.ipynb",
   "provenance": [],
   "toc_visible": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}