Raw_MobileNet_V1-Copy4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center>MobileNet - Pytorch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Step 1: Prepare data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# MobileNet-Pytorch\n",
    "import argparse \n",
    "import torch\n",
    "import numpy as np\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "from torch.optim.lr_scheduler import StepLR\n",
    "from torchvision import datasets, transforms\n",
    "from torch.autograd import Variable\n",
    "from torch.utils.data.sampler import SubsetRandomSampler\n",
    "from sklearn.metrics import accuracy_score\n",
    "#from mobilenets import mobilenet\n",
    "\n",
    "use_cuda = torch.cuda.is_available()\n",
    "use_cudause_cud  = torch.cuda.is_available()\n",
    "dtype = torch.cuda.FloatTensor if use_cuda else torch.FloatTensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    }
   ],
   "source": [
    "# Train, Validate, Test. Heavily inspired by Kevinzakka https://github.com/kevinzakka/DenseNet/blob/master/data_loader.py\n",
    "\n",
    "normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],\n",
    "                                 std=[0.229, 0.224, 0.225])\n",
    "\n",
    "valid_size=0.1\n",
    "\n",
    "# define transforms\n",
    "valid_transform = transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "        normalize\n",
    "])\n",
    "\n",
    "train_transform = transforms.Compose([\n",
    "    transforms.RandomCrop(32, padding=4),\n",
    "    transforms.RandomHorizontalFlip(),\n",
    "    transforms.ToTensor(),\n",
    "    normalize\n",
    "])\n",
    "\n",
    "\n",
    "# load the dataset\n",
    "train_dataset = datasets.CIFAR10(root=\"data\", train=True, \n",
    "            download=True, transform=train_transform)\n",
    "\n",
    "valid_dataset = datasets.CIFAR10(root=\"data\", train=True, \n",
    "            download=True, transform=valid_transform)\n",
    "\n",
    "num_train = len(train_dataset)\n",
    "indices = list(range(num_train))\n",
    "split = int(np.floor(valid_size * num_train)) #5w张图片的10%用来当做验证集\n",
    "\n",
    "\n",
    "np.random.seed(42)# 42\n",
    "np.random.shuffle(indices) # 随机乱序[0,1,...,49999]\n",
    "\n",
    "train_idx, valid_idx = indices[split:], indices[:split]\n",
    "\n",
    "\n",
    "train_sampler = SubsetRandomSampler(train_idx) # 这个很有意思\n",
    "valid_sampler = SubsetRandomSampler(valid_idx)\n",
    "\n",
    "###################################################################################\n",
    "# ------------------------- 使用不同的批次大小 ------------------------------------\n",
    "###################################################################################\n",
    "\n",
    "show_step=2  # 批次大，show_step就小点\n",
    "max_epoch=350  # 训练最大epoch数目\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(train_dataset, \n",
    "                batch_size=512, sampler=train_sampler)\n",
    "\n",
    "valid_loader = torch.utils.data.DataLoader(valid_dataset, \n",
    "                batch_size=256, sampler=valid_sampler)\n",
    "\n",
    "\n",
    "test_transform = transforms.Compose([\n",
    "    transforms.ToTensor(), normalize\n",
    "])\n",
    "\n",
    "test_dataset = datasets.CIFAR10(root=\"data\", \n",
    "                                train=False, \n",
    "                                download=True,transform=test_transform)\n",
    "\n",
    "test_loader = torch.utils.data.DataLoader(test_dataset, \n",
    "                                          batch_size=256, \n",
    "                                          shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 2: Model Config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 32  缩放5次到 1x1@1024 \n",
    "# From https://github.com/kuangliu/pytorch-cifar \n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "\n",
    "     \n",
    "\n",
    "\n",
    "class Block(nn.Module):\n",
    "    '''Depthwise conv + Pointwise conv'''\n",
    "    def __init__(self, in_planes, out_planes, stride=1):\n",
    "        super(Block, self).__init__()\n",
    "        \n",
    "        # 分组卷积数=输入通道数\n",
    "        self.conv1 = nn.Conv2d(in_planes, in_planes, kernel_size=3, stride=stride, padding=1, groups=in_planes, bias=False)\n",
    "        \n",
    "        self.bn1 = nn.BatchNorm2d(in_planes)\n",
    "        \n",
    "        self.conv2 = nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=1, padding=0, bias=False)\n",
    "        \n",
    "        self.bn2 = nn.BatchNorm2d(out_planes)\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = F.relu(self.bn1(self.conv1(x)))\n",
    "        out = F.relu(self.bn2(self.conv2(out)))\n",
    "        return out\n",
    "\n",
    "\n",
    "class MobileNet(nn.Module):\n",
    "    # (128,2) means conv planes=128, conv stride=2, by default conv stride=1\n",
    "    # cfg = [64, (128,2), 128, (256,2), 256, (512,2), 512, 512, 512, 512, 512, (1024,2), 1024]\n",
    "    # cfg = [64, (128,2), 128, (256,2), 256, (512,2), 512, 512, 512, 512, 512, (1024,2), (1024,1)]\n",
    "    #cfg = [48, (96,2), 96, (192,2), 192, (384,2), 384, 384, 384, 384, 384, (768,2), (1024,1)]\n",
    "    cfg = [64, (128,2), 128, 256, 256, (512,2), 512, 512, 512, 512, 512,1024,1024]\n",
    "    \n",
    "    def __init__(self, num_classes=10):\n",
    "        super(MobileNet, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(3, 32, kernel_size=3, stride=1, padding=1, bias=False)\n",
    "        \n",
    "        self.bn1 = nn.BatchNorm2d(32)\n",
    "        self.layers = self._make_layers(in_planes=32) # 自动化构建层\n",
    "        self.linear = nn.Linear(1024, num_classes)\n",
    "\n",
    "    def _make_layers(self, in_planes):\n",
    "        layers = []\n",
    "        for x in self.cfg:\n",
    "            if isinstance(x, int):\n",
    "                out_planes = x\n",
    "                stride = 1 \n",
    "                layers.append(Block(in_planes, out_planes, stride))\n",
    "            elif isinstance(x, tuple):\n",
    "                out_planes = x[0]\n",
    "                stride = x[1]\n",
    "                layers.append(Block(in_planes, out_planes, stride))\n",
    "            # AC层通过list存放设置参数\n",
    "            elif isinstance(x, list):\n",
    "                out_planes= x[0]\n",
    "                stride = x[1] if len(x)==2 else 1\n",
    "                layers.append(Block_Attention(in_planes, out_planes, stride))   \n",
    "            else:\n",
    "                pass\n",
    "            \n",
    "            in_planes = out_planes\n",
    "            \n",
    "        return nn.Sequential(*layers)\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = F.relu(self.bn1(self.conv1(x)))\n",
    "        out = self.layers(out)\n",
    "        #print(\"X\",out.shape)\n",
    "        out = F.avg_pool2d(out, 8)\n",
    "        out = out.view(out.size(0), -1)\n",
    "        out = self.linear(out)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# From https://github.com/Z0m6ie/CIFAR-10_PyTorch\n",
    "#model = mobilenet(num_classes=10, large_img=False)\n",
    "\n",
    "# From https://github.com/kuangliu/pytorch-cifar \n",
    "if torch.cuda.is_available():\n",
    "    model=MobileNet(10).cuda()\n",
    "else:\n",
    "    model=MobileNet(10)\n",
    "\n",
    "optimizer = optim.SGD(model.parameters(), lr=0.1, momentum=0.9, weight_decay=5e-4)\n",
    "#scheduler = StepLR(optimizer, step_size=70, gamma=0.1)\n",
    "scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[110,200,270,320,350], gamma=0.1)\n",
    "criterion = nn.CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Implement validation\n",
    "def train(epoch):\n",
    "    model.train()\n",
    "    #writer = SummaryWriter()\n",
    "    for batch_idx, (data, target) in enumerate(train_loader):\n",
    "        if use_cuda:\n",
    "            data, target = data.cuda(), target.cuda()\n",
    "        data, target = Variable(data), Variable(target)\n",
    "        optimizer.zero_grad()\n",
    "        output = model(data)\n",
    "        correct = 0\n",
    "        pred = output.data.max(1, keepdim=True)[1] # get the index of the max log-probability\n",
    "        correct += pred.eq(target.data.view_as(pred)).sum()\n",
    "        \n",
    "        loss = criterion(output, target)\n",
    "        loss.backward()\n",
    "        accuracy = 100. * (correct.cpu().numpy()/ len(output))\n",
    "        optimizer.step()\n",
    "        if batch_idx % 5*show_step == 0:\n",
    "#             if batch_idx % 2*show_step == 0:\n",
    "#                 print(model.layers[1].conv1D.weight.shape)\n",
    "#                 print(model.layers[1].conv1D.weight[0:2][0:2])\n",
    "            \n",
    "            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}, Accuracy: {:.2f}'.format(\n",
    "                epoch, batch_idx * len(data), len(train_loader.dataset),\n",
    "                100. * batch_idx / len(train_loader), loss.item(), accuracy))\n",
    "            f1=open(\"Cifar10_INFO.txt\",\"a+\")\n",
    "            f1.write(\"\\n\"+'Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}, Accuracy: {:.2f}'.format(\n",
    "                epoch, batch_idx * len(data), len(train_loader.dataset),\n",
    "                100. * batch_idx / len(train_loader), loss.item(), accuracy))\n",
    "            f1.close()\n",
    "            \n",
    "            #writer.add_scalar('Loss/Loss', loss.item(), epoch)\n",
    "            #writer.add_scalar('Accuracy/Accuracy', accuracy, epoch)\n",
    "    scheduler.step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def validate(epoch):\n",
    "    model.eval()\n",
    "    #writer = SummaryWriter()\n",
    "    valid_loss = 0\n",
    "    correct = 0\n",
    "    for data, target in valid_loader:\n",
    "        if use_cuda:\n",
    "            data, target = data.cuda(), target.cuda()\n",
    "        data, target = Variable(data), Variable(target)\n",
    "        output = model(data)\n",
    "        valid_loss += F.cross_entropy(output, target, size_average=False).item() # sum up batch loss\n",
    "        pred = output.data.max(1, keepdim=True)[1] # get the index of the max log-probability\n",
    "        correct += pred.eq(target.data.view_as(pred)).sum()\n",
    "\n",
    "    valid_loss /= len(valid_idx)\n",
    "    accuracy = 100. * correct.cpu().numpy() / len(valid_idx)\n",
    "    print('\\nValidation set: Average loss: {:.4f}, Accuracy: {}/{} ({:.2f}%)\\n'.format(\n",
    "        valid_loss, correct, len(valid_idx),\n",
    "        100. * correct / len(valid_idx)))\n",
    "    \n",
    "    f1=open(\"Cifar10_INFO.txt\",\"a+\")\n",
    "    f1.write('\\nValidation set: Average loss: {:.4f}, Accuracy: {}/{} ({:.2f}%)\\n'.format(\n",
    "        valid_loss, correct, len(valid_idx),\n",
    "        100. * correct / len(valid_idx)))\n",
    "    f1.close()\n",
    "    #writer.add_scalar('Loss/Validation_Loss', valid_loss, epoch)\n",
    "    #writer.add_scalar('Accuracy/Validation_Accuracy', accuracy, epoch)\n",
    "    return valid_loss, accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Fix best model\n",
    "\n",
    "def test(epoch):\n",
    "    model.eval()\n",
    "    test_loss = 0\n",
    "    correct = 0\n",
    "    for data, target in test_loader:\n",
    "        if use_cuda:\n",
    "            data, target = data.cuda(), target.cuda()\n",
    "        data, target = Variable(data), Variable(target)\n",
    "        output = model(data)\n",
    "        test_loss += F.cross_entropy(output, target, size_average=False).item() # sum up batch loss\n",
    "        pred = output.data.max(1, keepdim=True)[1] # get the index of the max log-probability\n",
    "        correct += pred.eq(target.data.view_as(pred)).cpu().sum()\n",
    "\n",
    "    test_loss /= len(test_loader.dataset)\n",
    "    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.2f}%)\\n'.format(\n",
    "        test_loss, correct, len(test_loader.dataset),\n",
    "        100. * correct.cpu().numpy() / len(test_loader.dataset)))\n",
    "    \n",
    "    f1=open(\"Cifar10_INFO.txt\",\"a+\")\n",
    "    f1.write('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.2f}%)\\n'.format(\n",
    "        test_loss, correct, len(test_loader.dataset),\n",
    "        100. * correct.cpu().numpy() / len(test_loader.dataset)))\n",
    "    f1.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def save_best(loss, accuracy, best_loss, best_acc):\n",
    "    if best_loss == None:\n",
    "        best_loss = loss\n",
    "        best_acc = accuracy\n",
    "        file = 'saved_models/best_save_model.p'\n",
    "        torch.save(model.state_dict(), file)\n",
    "        \n",
    "    elif loss < best_loss and accuracy > best_acc:\n",
    "        best_loss = loss\n",
    "        best_acc = accuracy\n",
    "        file = 'saved_models/best_save_model.p'\n",
    "        torch.save(model.state_dict(), file)\n",
    "    return best_loss, best_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 0 [0/50000 (0%)]\tLoss: 2.317879, Accuracy: 9.38\n",
      "Train Epoch: 0 [2560/50000 (6%)]\tLoss: 2.225220, Accuracy: 15.62\n",
      "Train Epoch: 0 [5120/50000 (11%)]\tLoss: 2.083312, Accuracy: 17.38\n",
      "Train Epoch: 0 [7680/50000 (17%)]\tLoss: 1.912022, Accuracy: 23.24\n",
      "Train Epoch: 0 [10240/50000 (23%)]\tLoss: 1.932578, Accuracy: 26.76\n",
      "Train Epoch: 0 [12800/50000 (28%)]\tLoss: 1.857112, Accuracy: 30.08\n",
      "Train Epoch: 0 [15360/50000 (34%)]\tLoss: 1.764081, Accuracy: 34.77\n",
      "Train Epoch: 0 [17920/50000 (40%)]\tLoss: 1.753008, Accuracy: 33.59\n",
      "Train Epoch: 0 [20480/50000 (45%)]\tLoss: 1.670862, Accuracy: 37.30\n",
      "Train Epoch: 0 [23040/50000 (51%)]\tLoss: 1.613635, Accuracy: 40.43\n",
      "Train Epoch: 0 [25600/50000 (57%)]\tLoss: 1.530582, Accuracy: 41.41\n",
      "Train Epoch: 0 [28160/50000 (62%)]\tLoss: 1.583456, Accuracy: 41.99\n",
      "Train Epoch: 0 [30720/50000 (68%)]\tLoss: 1.560618, Accuracy: 43.95\n",
      "Train Epoch: 0 [33280/50000 (74%)]\tLoss: 1.459159, Accuracy: 45.31\n",
      "Train Epoch: 0 [35840/50000 (80%)]\tLoss: 1.524059, Accuracy: 44.14\n",
      "Train Epoch: 0 [38400/50000 (85%)]\tLoss: 1.485650, Accuracy: 45.12\n",
      "Train Epoch: 0 [40960/50000 (91%)]\tLoss: 1.437413, Accuracy: 45.90\n",
      "Train Epoch: 0 [43520/50000 (97%)]\tLoss: 1.441668, Accuracy: 46.88\n",
      "\n",
      "Validation set: Average loss: 1.6543, Accuracy: 2125/5000 (42.00%)\n",
      "\n",
      "the time of this epoch:[32.349868059158325 s]\n",
      "Train Epoch: 1 [0/50000 (0%)]\tLoss: 1.370292, Accuracy: 50.78\n",
      "Train Epoch: 1 [2560/50000 (6%)]\tLoss: 1.466472, Accuracy: 46.68\n",
      "Train Epoch: 1 [5120/50000 (11%)]\tLoss: 1.354372, Accuracy: 49.61\n",
      "Train Epoch: 1 [7680/50000 (17%)]\tLoss: 1.356067, Accuracy: 49.61\n",
      "Train Epoch: 1 [10240/50000 (23%)]\tLoss: 1.312696, Accuracy: 50.20\n",
      "Train Epoch: 1 [12800/50000 (28%)]\tLoss: 1.393799, Accuracy: 46.29\n",
      "Train Epoch: 1 [15360/50000 (34%)]\tLoss: 1.422067, Accuracy: 47.85\n",
      "Train Epoch: 1 [17920/50000 (40%)]\tLoss: 1.311709, Accuracy: 51.76\n",
      "Train Epoch: 1 [20480/50000 (45%)]\tLoss: 1.262792, Accuracy: 55.66\n",
      "Train Epoch: 1 [23040/50000 (51%)]\tLoss: 1.238455, Accuracy: 55.27\n",
      "Train Epoch: 1 [25600/50000 (57%)]\tLoss: 1.172622, Accuracy: 56.64\n",
      "Train Epoch: 1 [28160/50000 (62%)]\tLoss: 1.201861, Accuracy: 57.81\n",
      "Train Epoch: 1 [30720/50000 (68%)]\tLoss: 1.124034, Accuracy: 61.72\n",
      "Train Epoch: 1 [33280/50000 (74%)]\tLoss: 1.206793, Accuracy: 55.47\n",
      "Train Epoch: 1 [35840/50000 (80%)]\tLoss: 1.090213, Accuracy: 63.48\n",
      "Train Epoch: 1 [38400/50000 (85%)]\tLoss: 1.121333, Accuracy: 61.52\n",
      "Train Epoch: 1 [40960/50000 (91%)]\tLoss: 1.170061, Accuracy: 58.98\n",
      "Train Epoch: 1 [43520/50000 (97%)]\tLoss: 1.131290, Accuracy: 59.18\n",
      "\n",
      "Validation set: Average loss: 1.3091, Accuracy: 2725/5000 (54.00%)\n",
      "\n",
      "the time of this epoch:[32.2455620765686 s]\n",
      "Train Epoch: 2 [0/50000 (0%)]\tLoss: 1.062992, Accuracy: 61.33\n",
      "Train Epoch: 2 [2560/50000 (6%)]\tLoss: 1.011923, Accuracy: 64.06\n",
      "Train Epoch: 2 [5120/50000 (11%)]\tLoss: 1.109511, Accuracy: 60.55\n",
      "Train Epoch: 2 [7680/50000 (17%)]\tLoss: 1.002843, Accuracy: 64.26\n",
      "Train Epoch: 2 [10240/50000 (23%)]\tLoss: 1.083961, Accuracy: 63.09\n",
      "Train Epoch: 2 [12800/50000 (28%)]\tLoss: 1.015406, Accuracy: 64.45\n",
      "Train Epoch: 2 [15360/50000 (34%)]\tLoss: 1.040821, Accuracy: 63.48\n",
      "Train Epoch: 2 [17920/50000 (40%)]\tLoss: 1.142314, Accuracy: 61.13\n",
      "Train Epoch: 2 [20480/50000 (45%)]\tLoss: 0.976886, Accuracy: 65.23\n",
      "Train Epoch: 2 [23040/50000 (51%)]\tLoss: 0.991703, Accuracy: 66.41\n",
      "Train Epoch: 2 [25600/50000 (57%)]\tLoss: 0.988512, Accuracy: 65.04\n",
      "Train Epoch: 2 [28160/50000 (62%)]\tLoss: 0.966209, Accuracy: 66.02\n",
      "Train Epoch: 2 [30720/50000 (68%)]\tLoss: 0.963128, Accuracy: 66.60\n",
      "Train Epoch: 2 [33280/50000 (74%)]\tLoss: 0.947231, Accuracy: 68.55\n",
      "Train Epoch: 2 [35840/50000 (80%)]\tLoss: 0.953367, Accuracy: 65.04\n",
      "Train Epoch: 2 [38400/50000 (85%)]\tLoss: 1.000433, Accuracy: 65.23\n",
      "Train Epoch: 2 [40960/50000 (91%)]\tLoss: 0.964928, Accuracy: 67.38\n",
      "Train Epoch: 2 [43520/50000 (97%)]\tLoss: 0.908439, Accuracy: 67.97\n",
      "\n",
      "Validation set: Average loss: 1.1614, Accuracy: 3047/5000 (60.00%)\n",
      "\n",
      "the time of this epoch:[32.28340721130371 s]\n",
      "Train Epoch: 3 [0/50000 (0%)]\tLoss: 0.966686, Accuracy: 65.82\n",
      "Train Epoch: 3 [2560/50000 (6%)]\tLoss: 0.932830, Accuracy: 66.41\n",
      "Train Epoch: 3 [5120/50000 (11%)]\tLoss: 0.899943, Accuracy: 68.75\n",
      "Train Epoch: 3 [7680/50000 (17%)]\tLoss: 0.859735, Accuracy: 68.16\n",
      "Train Epoch: 3 [10240/50000 (23%)]\tLoss: 0.915111, Accuracy: 69.14\n",
      "Train Epoch: 3 [12800/50000 (28%)]\tLoss: 0.894256, Accuracy: 70.90\n",
      "Train Epoch: 3 [15360/50000 (34%)]\tLoss: 0.892116, Accuracy: 68.55\n",
      "Train Epoch: 3 [17920/50000 (40%)]\tLoss: 0.826341, Accuracy: 71.68\n",
      "Train Epoch: 3 [20480/50000 (45%)]\tLoss: 0.940753, Accuracy: 67.38\n",
      "Train Epoch: 3 [23040/50000 (51%)]\tLoss: 0.842869, Accuracy: 71.09\n",
      "Train Epoch: 3 [25600/50000 (57%)]\tLoss: 0.890097, Accuracy: 67.77\n",
      "Train Epoch: 3 [28160/50000 (62%)]\tLoss: 0.987268, Accuracy: 66.02\n",
      "Train Epoch: 3 [30720/50000 (68%)]\tLoss: 0.889397, Accuracy: 68.36\n",
      "Train Epoch: 3 [33280/50000 (74%)]\tLoss: 0.881881, Accuracy: 72.07\n",
      "Train Epoch: 3 [35840/50000 (80%)]\tLoss: 0.829247, Accuracy: 70.70\n",
      "Train Epoch: 3 [38400/50000 (85%)]\tLoss: 0.818541, Accuracy: 70.90\n",
      "Train Epoch: 3 [40960/50000 (91%)]\tLoss: 0.849555, Accuracy: 71.29\n",
      "Train Epoch: 3 [43520/50000 (97%)]\tLoss: 0.821218, Accuracy: 68.16\n",
      "\n",
      "Validation set: Average loss: 0.9677, Accuracy: 3304/5000 (66.00%)\n",
      "\n",
      "the time of this epoch:[32.24221849441528 s]\n",
      "Train Epoch: 4 [0/50000 (0%)]\tLoss: 0.663140, Accuracy: 76.95\n",
      "Train Epoch: 4 [2560/50000 (6%)]\tLoss: 0.753120, Accuracy: 73.44\n",
      "Train Epoch: 4 [5120/50000 (11%)]\tLoss: 0.747974, Accuracy: 73.44\n",
      "Train Epoch: 4 [7680/50000 (17%)]\tLoss: 0.761949, Accuracy: 72.85\n",
      "Train Epoch: 4 [10240/50000 (23%)]\tLoss: 0.779727, Accuracy: 73.83\n",
      "Train Epoch: 4 [12800/50000 (28%)]\tLoss: 0.754893, Accuracy: 73.05\n",
      "Train Epoch: 4 [15360/50000 (34%)]\tLoss: 0.723651, Accuracy: 72.85\n",
      "Train Epoch: 4 [17920/50000 (40%)]\tLoss: 0.764854, Accuracy: 75.39\n",
      "Train Epoch: 4 [20480/50000 (45%)]\tLoss: 0.704133, Accuracy: 75.20\n",
      "Train Epoch: 4 [23040/50000 (51%)]\tLoss: 0.686318, Accuracy: 77.15\n",
      "Train Epoch: 4 [25600/50000 (57%)]\tLoss: 0.810531, Accuracy: 71.48\n",
      "Train Epoch: 4 [28160/50000 (62%)]\tLoss: 0.747495, Accuracy: 75.20\n",
      "Train Epoch: 4 [30720/50000 (68%)]\tLoss: 0.713164, Accuracy: 73.83\n",
      "Train Epoch: 4 [33280/50000 (74%)]\tLoss: 0.736022, Accuracy: 72.85\n",
      "Train Epoch: 4 [35840/50000 (80%)]\tLoss: 0.762369, Accuracy: 73.24\n",
      "Train Epoch: 4 [38400/50000 (85%)]\tLoss: 0.733427, Accuracy: 74.80\n",
      "Train Epoch: 4 [40960/50000 (91%)]\tLoss: 0.703624, Accuracy: 74.22\n",
      "Train Epoch: 4 [43520/50000 (97%)]\tLoss: 0.639444, Accuracy: 80.86\n",
      "\n",
      "Validation set: Average loss: 0.8239, Accuracy: 3545/5000 (70.00%)\n",
      "\n",
      "the time of this epoch:[32.16376566886902 s]\n",
      "Train Epoch: 5 [0/50000 (0%)]\tLoss: 0.721625, Accuracy: 75.20\n",
      "Train Epoch: 5 [2560/50000 (6%)]\tLoss: 0.723975, Accuracy: 75.59\n",
      "Train Epoch: 5 [5120/50000 (11%)]\tLoss: 0.576240, Accuracy: 81.25\n",
      "Train Epoch: 5 [7680/50000 (17%)]\tLoss: 0.822157, Accuracy: 72.07\n",
      "Train Epoch: 5 [10240/50000 (23%)]\tLoss: 0.684988, Accuracy: 75.98\n",
      "Train Epoch: 5 [12800/50000 (28%)]\tLoss: 0.617879, Accuracy: 79.69\n",
      "Train Epoch: 5 [15360/50000 (34%)]\tLoss: 0.704588, Accuracy: 75.20\n",
      "Train Epoch: 5 [17920/50000 (40%)]\tLoss: 0.574511, Accuracy: 78.91\n",
      "Train Epoch: 5 [20480/50000 (45%)]\tLoss: 0.667037, Accuracy: 76.17\n",
      "Train Epoch: 5 [23040/50000 (51%)]\tLoss: 0.655496, Accuracy: 75.78\n",
      "Train Epoch: 5 [28160/50000 (62%)]\tLoss: 0.660893, Accuracy: 77.73\n",
      "Train Epoch: 5 [30720/50000 (68%)]\tLoss: 0.702115, Accuracy: 75.39\n",
      "Train Epoch: 5 [33280/50000 (74%)]\tLoss: 0.625466, Accuracy: 78.12\n",
      "Train Epoch: 5 [35840/50000 (80%)]\tLoss: 0.632568, Accuracy: 77.15\n",
      "Train Epoch: 5 [38400/50000 (85%)]\tLoss: 0.593690, Accuracy: 77.73\n",
      "Train Epoch: 5 [40960/50000 (91%)]\tLoss: 0.549648, Accuracy: 80.27\n",
      "Train Epoch: 5 [43520/50000 (97%)]\tLoss: 0.622437, Accuracy: 77.93\n",
      "\n",
      "Validation set: Average loss: 0.7043, Accuracy: 3798/5000 (75.00%)\n",
      "\n",
      "the time of this epoch:[32.191792011260986 s]\n",
      "Train Epoch: 6 [0/50000 (0%)]\tLoss: 0.538792, Accuracy: 82.23\n",
      "Train Epoch: 6 [2560/50000 (6%)]\tLoss: 0.617684, Accuracy: 78.91\n",
      "Train Epoch: 6 [5120/50000 (11%)]\tLoss: 0.579563, Accuracy: 80.08\n",
      "Train Epoch: 6 [7680/50000 (17%)]\tLoss: 0.539151, Accuracy: 83.79\n",
      "Train Epoch: 6 [10240/50000 (23%)]\tLoss: 0.638267, Accuracy: 77.73\n",
      "Train Epoch: 6 [12800/50000 (28%)]\tLoss: 0.541835, Accuracy: 80.66\n",
      "Train Epoch: 6 [15360/50000 (34%)]\tLoss: 0.594598, Accuracy: 80.86\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 6 [17920/50000 (40%)]\tLoss: 0.574476, Accuracy: 78.32\n",
      "Train Epoch: 6 [20480/50000 (45%)]\tLoss: 0.601838, Accuracy: 78.52\n",
      "Train Epoch: 6 [23040/50000 (51%)]\tLoss: 0.549425, Accuracy: 79.30\n",
      "Train Epoch: 6 [25600/50000 (57%)]\tLoss: 0.597799, Accuracy: 81.05\n",
      "Train Epoch: 6 [28160/50000 (62%)]\tLoss: 0.560474, Accuracy: 80.27\n",
      "Train Epoch: 6 [30720/50000 (68%)]\tLoss: 0.641066, Accuracy: 78.71\n",
      "Train Epoch: 6 [33280/50000 (74%)]\tLoss: 0.608978, Accuracy: 80.27\n",
      "Train Epoch: 6 [35840/50000 (80%)]\tLoss: 0.585684, Accuracy: 79.30\n",
      "Train Epoch: 6 [38400/50000 (85%)]\tLoss: 0.596973, Accuracy: 79.30\n",
      "Train Epoch: 6 [40960/50000 (91%)]\tLoss: 0.555572, Accuracy: 80.47\n",
      "Train Epoch: 6 [43520/50000 (97%)]\tLoss: 0.631494, Accuracy: 77.34\n",
      "\n",
      "Validation set: Average loss: 0.7090, Accuracy: 3772/5000 (75.00%)\n",
      "\n",
      "the time of this epoch:[32.19344115257263 s]\n",
      "Train Epoch: 7 [0/50000 (0%)]\tLoss: 0.545191, Accuracy: 80.47\n",
      "Train Epoch: 7 [2560/50000 (6%)]\tLoss: 0.478736, Accuracy: 84.57\n",
      "Train Epoch: 7 [5120/50000 (11%)]\tLoss: 0.528764, Accuracy: 82.42\n",
      "Train Epoch: 7 [7680/50000 (17%)]\tLoss: 0.526847, Accuracy: 83.40\n",
      "Train Epoch: 7 [10240/50000 (23%)]\tLoss: 0.456860, Accuracy: 83.20\n",
      "Train Epoch: 7 [12800/50000 (28%)]\tLoss: 0.541020, Accuracy: 82.42\n",
      "Train Epoch: 7 [15360/50000 (34%)]\tLoss: 0.596470, Accuracy: 79.10\n",
      "Train Epoch: 7 [17920/50000 (40%)]\tLoss: 0.470756, Accuracy: 83.79\n",
      "Train Epoch: 7 [20480/50000 (45%)]\tLoss: 0.553186, Accuracy: 81.45\n",
      "Train Epoch: 7 [23040/50000 (51%)]\tLoss: 0.512052, Accuracy: 81.25\n",
      "Train Epoch: 7 [25600/50000 (57%)]\tLoss: 0.560537, Accuracy: 81.05\n",
      "Train Epoch: 7 [28160/50000 (62%)]\tLoss: 0.583187, Accuracy: 79.49\n",
      "Train Epoch: 7 [30720/50000 (68%)]\tLoss: 0.536963, Accuracy: 81.05\n",
      "Train Epoch: 7 [33280/50000 (74%)]\tLoss: 0.515002, Accuracy: 81.45\n",
      "Train Epoch: 7 [35840/50000 (80%)]\tLoss: 0.549690, Accuracy: 79.69\n",
      "Train Epoch: 7 [38400/50000 (85%)]\tLoss: 0.579550, Accuracy: 80.66\n",
      "Train Epoch: 7 [40960/50000 (91%)]\tLoss: 0.518106, Accuracy: 82.03\n",
      "Train Epoch: 7 [43520/50000 (97%)]\tLoss: 0.548391, Accuracy: 83.59\n",
      "\n",
      "Validation set: Average loss: 0.7452, Accuracy: 3743/5000 (74.00%)\n",
      "\n",
      "the time of this epoch:[32.15257740020752 s]\n",
      "Train Epoch: 8 [0/50000 (0%)]\tLoss: 0.493611, Accuracy: 81.25\n",
      "Train Epoch: 8 [2560/50000 (6%)]\tLoss: 0.461485, Accuracy: 83.98\n",
      "Train Epoch: 8 [5120/50000 (11%)]\tLoss: 0.417281, Accuracy: 85.55\n",
      "Train Epoch: 8 [7680/50000 (17%)]\tLoss: 0.530234, Accuracy: 80.08\n",
      "Train Epoch: 8 [10240/50000 (23%)]\tLoss: 0.472928, Accuracy: 84.57\n",
      "Train Epoch: 8 [12800/50000 (28%)]\tLoss: 0.508266, Accuracy: 82.42\n",
      "Train Epoch: 8 [15360/50000 (34%)]\tLoss: 0.445827, Accuracy: 86.13\n",
      "Train Epoch: 8 [17920/50000 (40%)]\tLoss: 0.500014, Accuracy: 83.59\n",
      "Train Epoch: 8 [20480/50000 (45%)]\tLoss: 0.487702, Accuracy: 83.79\n",
      "Train Epoch: 8 [23040/50000 (51%)]\tLoss: 0.404279, Accuracy: 86.13\n",
      "Train Epoch: 8 [25600/50000 (57%)]\tLoss: 0.520866, Accuracy: 83.20\n",
      "Train Epoch: 8 [28160/50000 (62%)]\tLoss: 0.441062, Accuracy: 84.38\n",
      "Train Epoch: 8 [30720/50000 (68%)]\tLoss: 0.469045, Accuracy: 82.81\n",
      "Train Epoch: 8 [33280/50000 (74%)]\tLoss: 0.502542, Accuracy: 83.01\n",
      "Train Epoch: 8 [35840/50000 (80%)]\tLoss: 0.481252, Accuracy: 82.81\n",
      "Train Epoch: 8 [38400/50000 (85%)]\tLoss: 0.434447, Accuracy: 85.16\n",
      "Train Epoch: 8 [40960/50000 (91%)]\tLoss: 0.499078, Accuracy: 83.01\n",
      "Train Epoch: 8 [43520/50000 (97%)]\tLoss: 0.466406, Accuracy: 83.40\n",
      "\n",
      "Validation set: Average loss: 0.6716, Accuracy: 3883/5000 (77.00%)\n",
      "\n",
      "the time of this epoch:[32.161821603775024 s]\n",
      "Train Epoch: 9 [0/50000 (0%)]\tLoss: 0.380246, Accuracy: 86.52\n",
      "Train Epoch: 9 [2560/50000 (6%)]\tLoss: 0.456102, Accuracy: 83.98\n",
      "Train Epoch: 9 [5120/50000 (11%)]\tLoss: 0.420301, Accuracy: 84.96\n",
      "Train Epoch: 9 [7680/50000 (17%)]\tLoss: 0.502794, Accuracy: 83.79\n",
      "Train Epoch: 9 [10240/50000 (23%)]\tLoss: 0.498390, Accuracy: 82.03\n",
      "Train Epoch: 9 [12800/50000 (28%)]\tLoss: 0.445244, Accuracy: 84.77\n",
      "Train Epoch: 9 [15360/50000 (34%)]\tLoss: 0.416378, Accuracy: 87.30\n",
      "Train Epoch: 9 [17920/50000 (40%)]\tLoss: 0.494202, Accuracy: 84.18\n",
      "Train Epoch: 9 [20480/50000 (45%)]\tLoss: 0.472615, Accuracy: 85.74\n",
      "Train Epoch: 9 [23040/50000 (51%)]\tLoss: 0.457973, Accuracy: 84.38\n",
      "Train Epoch: 9 [25600/50000 (57%)]\tLoss: 0.349698, Accuracy: 87.50\n",
      "Train Epoch: 9 [28160/50000 (62%)]\tLoss: 0.552124, Accuracy: 80.47\n",
      "Train Epoch: 9 [30720/50000 (68%)]\tLoss: 0.432745, Accuracy: 84.38\n",
      "Train Epoch: 9 [33280/50000 (74%)]\tLoss: 0.478027, Accuracy: 84.77\n",
      "Train Epoch: 9 [35840/50000 (80%)]\tLoss: 0.447461, Accuracy: 87.11\n",
      "Train Epoch: 9 [38400/50000 (85%)]\tLoss: 0.438247, Accuracy: 85.35\n",
      "Train Epoch: 9 [40960/50000 (91%)]\tLoss: 0.438267, Accuracy: 85.55\n",
      "Train Epoch: 9 [43520/50000 (97%)]\tLoss: 0.412690, Accuracy: 86.72\n",
      "\n",
      "Validation set: Average loss: 0.7798, Accuracy: 3708/5000 (74.00%)\n",
      "\n",
      "the time of this epoch:[31.751170873641968 s]\n",
      "Train Epoch: 10 [0/50000 (0%)]\tLoss: 0.536714, Accuracy: 80.47\n",
      "Train Epoch: 10 [2560/50000 (6%)]\tLoss: 0.428371, Accuracy: 85.16\n",
      "Train Epoch: 10 [5120/50000 (11%)]\tLoss: 0.474914, Accuracy: 85.16\n",
      "Train Epoch: 10 [7680/50000 (17%)]\tLoss: 0.466452, Accuracy: 83.79\n",
      "Train Epoch: 10 [10240/50000 (23%)]\tLoss: 0.351839, Accuracy: 87.70\n",
      "Train Epoch: 10 [12800/50000 (28%)]\tLoss: 0.444296, Accuracy: 84.57\n",
      "Train Epoch: 10 [15360/50000 (34%)]\tLoss: 0.316738, Accuracy: 88.87\n",
      "Train Epoch: 10 [17920/50000 (40%)]\tLoss: 0.432015, Accuracy: 85.94\n",
      "Train Epoch: 10 [20480/50000 (45%)]\tLoss: 0.432227, Accuracy: 86.33\n",
      "Train Epoch: 10 [23040/50000 (51%)]\tLoss: 0.466451, Accuracy: 82.62\n",
      "Train Epoch: 10 [25600/50000 (57%)]\tLoss: 0.494562, Accuracy: 82.62\n",
      "Train Epoch: 10 [28160/50000 (62%)]\tLoss: 0.488653, Accuracy: 83.79\n",
      "Train Epoch: 10 [30720/50000 (68%)]\tLoss: 0.375583, Accuracy: 84.77\n",
      "Train Epoch: 10 [33280/50000 (74%)]\tLoss: 0.458796, Accuracy: 85.16\n",
      "Train Epoch: 10 [35840/50000 (80%)]\tLoss: 0.467484, Accuracy: 82.62\n",
      "Train Epoch: 10 [38400/50000 (85%)]\tLoss: 0.481867, Accuracy: 81.25\n",
      "Train Epoch: 10 [40960/50000 (91%)]\tLoss: 0.421049, Accuracy: 85.35\n",
      "Train Epoch: 10 [43520/50000 (97%)]\tLoss: 0.465467, Accuracy: 84.77\n",
      "\n",
      "Validation set: Average loss: 0.5697, Accuracy: 4046/5000 (80.00%)\n",
      "\n",
      "the time of this epoch:[31.66576600074768 s]\n",
      "\n",
      "Test set: Average loss: 0.6031, Accuracy: 7979/10000 (79.79%)\n",
      "\n",
      "Train Epoch: 11 [0/50000 (0%)]\tLoss: 0.379105, Accuracy: 86.72\n",
      "Train Epoch: 11 [2560/50000 (6%)]\tLoss: 0.455168, Accuracy: 84.18\n",
      "Train Epoch: 11 [5120/50000 (11%)]\tLoss: 0.359215, Accuracy: 87.89\n",
      "Train Epoch: 11 [7680/50000 (17%)]\tLoss: 0.387805, Accuracy: 86.13\n",
      "Train Epoch: 11 [10240/50000 (23%)]\tLoss: 0.411735, Accuracy: 86.52\n",
      "Train Epoch: 11 [12800/50000 (28%)]\tLoss: 0.355242, Accuracy: 88.09\n",
      "Train Epoch: 11 [15360/50000 (34%)]\tLoss: 0.410694, Accuracy: 85.35\n",
      "Train Epoch: 11 [17920/50000 (40%)]\tLoss: 0.383101, Accuracy: 86.52\n",
      "Train Epoch: 11 [20480/50000 (45%)]\tLoss: 0.405233, Accuracy: 86.13\n",
      "Train Epoch: 11 [23040/50000 (51%)]\tLoss: 0.351160, Accuracy: 88.87\n",
      "Train Epoch: 11 [25600/50000 (57%)]\tLoss: 0.463015, Accuracy: 83.20\n",
      "Train Epoch: 11 [28160/50000 (62%)]\tLoss: 0.383662, Accuracy: 85.94\n",
      "Train Epoch: 11 [30720/50000 (68%)]\tLoss: 0.357444, Accuracy: 87.89\n",
      "Train Epoch: 11 [33280/50000 (74%)]\tLoss: 0.383047, Accuracy: 87.89\n",
      "Train Epoch: 11 [35840/50000 (80%)]\tLoss: 0.420997, Accuracy: 84.96\n",
      "Train Epoch: 11 [38400/50000 (85%)]\tLoss: 0.362124, Accuracy: 87.89\n",
      "Train Epoch: 11 [40960/50000 (91%)]\tLoss: 0.388764, Accuracy: 87.11\n",
      "Train Epoch: 11 [43520/50000 (97%)]\tLoss: 0.463287, Accuracy: 84.18\n",
      "\n",
      "Validation set: Average loss: 0.5734, Accuracy: 4048/5000 (80.00%)\n",
      "\n",
      "the time of this epoch:[34.4057035446167 s]\n",
      "Train Epoch: 12 [0/50000 (0%)]\tLoss: 0.372707, Accuracy: 87.30\n",
      "Train Epoch: 12 [2560/50000 (6%)]\tLoss: 0.334339, Accuracy: 88.67\n",
      "Train Epoch: 12 [5120/50000 (11%)]\tLoss: 0.349717, Accuracy: 87.89\n",
      "Train Epoch: 12 [7680/50000 (17%)]\tLoss: 0.373889, Accuracy: 86.91\n",
      "Train Epoch: 12 [10240/50000 (23%)]\tLoss: 0.405812, Accuracy: 86.13\n",
      "Train Epoch: 12 [12800/50000 (28%)]\tLoss: 0.397915, Accuracy: 85.94\n",
      "Train Epoch: 12 [15360/50000 (34%)]\tLoss: 0.389167, Accuracy: 87.11\n",
      "Train Epoch: 12 [17920/50000 (40%)]\tLoss: 0.354817, Accuracy: 87.11\n",
      "Train Epoch: 12 [20480/50000 (45%)]\tLoss: 0.350639, Accuracy: 89.45\n",
      "Train Epoch: 12 [23040/50000 (51%)]\tLoss: 0.404949, Accuracy: 86.52\n",
      "Train Epoch: 12 [25600/50000 (57%)]\tLoss: 0.381408, Accuracy: 86.33\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 12 [28160/50000 (62%)]\tLoss: 0.353386, Accuracy: 86.91\n",
      "Train Epoch: 12 [30720/50000 (68%)]\tLoss: 0.451042, Accuracy: 85.35\n",
      "Train Epoch: 12 [33280/50000 (74%)]\tLoss: 0.437064, Accuracy: 83.98\n",
      "Train Epoch: 12 [35840/50000 (80%)]\tLoss: 0.410347, Accuracy: 84.77\n",
      "Train Epoch: 12 [38400/50000 (85%)]\tLoss: 0.404435, Accuracy: 85.94\n",
      "Train Epoch: 12 [40960/50000 (91%)]\tLoss: 0.390825, Accuracy: 87.30\n",
      "Train Epoch: 12 [43520/50000 (97%)]\tLoss: 0.379337, Accuracy: 86.33\n",
      "\n",
      "Validation set: Average loss: 0.5460, Accuracy: 4059/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[31.843647241592407 s]\n",
      "Train Epoch: 13 [0/50000 (0%)]\tLoss: 0.294113, Accuracy: 89.84\n",
      "Train Epoch: 13 [2560/50000 (6%)]\tLoss: 0.322920, Accuracy: 89.26\n",
      "Train Epoch: 13 [5120/50000 (11%)]\tLoss: 0.372797, Accuracy: 85.35\n",
      "Train Epoch: 13 [7680/50000 (17%)]\tLoss: 0.376902, Accuracy: 88.09\n",
      "Train Epoch: 13 [10240/50000 (23%)]\tLoss: 0.388510, Accuracy: 86.13\n",
      "Train Epoch: 13 [12800/50000 (28%)]\tLoss: 0.369916, Accuracy: 87.11\n",
      "Train Epoch: 13 [15360/50000 (34%)]\tLoss: 0.317446, Accuracy: 88.48\n",
      "Train Epoch: 13 [17920/50000 (40%)]\tLoss: 0.410096, Accuracy: 85.55\n",
      "Train Epoch: 13 [20480/50000 (45%)]\tLoss: 0.381338, Accuracy: 87.11\n",
      "Train Epoch: 13 [23040/50000 (51%)]\tLoss: 0.400395, Accuracy: 86.13\n",
      "Train Epoch: 13 [25600/50000 (57%)]\tLoss: 0.335618, Accuracy: 87.70\n",
      "Train Epoch: 13 [28160/50000 (62%)]\tLoss: 0.452381, Accuracy: 84.18\n",
      "Train Epoch: 13 [30720/50000 (68%)]\tLoss: 0.373483, Accuracy: 88.48\n",
      "Train Epoch: 13 [33280/50000 (74%)]\tLoss: 0.396325, Accuracy: 85.94\n",
      "Train Epoch: 13 [35840/50000 (80%)]\tLoss: 0.391142, Accuracy: 86.33\n",
      "Train Epoch: 13 [38400/50000 (85%)]\tLoss: 0.374184, Accuracy: 88.48\n",
      "Train Epoch: 13 [40960/50000 (91%)]\tLoss: 0.368198, Accuracy: 88.09\n",
      "Train Epoch: 13 [43520/50000 (97%)]\tLoss: 0.363060, Accuracy: 86.72\n",
      "\n",
      "Validation set: Average loss: 0.6347, Accuracy: 3937/5000 (78.00%)\n",
      "\n",
      "the time of this epoch:[32.177865743637085 s]\n",
      "Train Epoch: 14 [0/50000 (0%)]\tLoss: 0.356317, Accuracy: 89.26\n",
      "Train Epoch: 14 [2560/50000 (6%)]\tLoss: 0.374924, Accuracy: 86.91\n",
      "Train Epoch: 14 [5120/50000 (11%)]\tLoss: 0.295317, Accuracy: 89.65\n",
      "Train Epoch: 14 [7680/50000 (17%)]\tLoss: 0.314820, Accuracy: 88.28\n",
      "Train Epoch: 14 [10240/50000 (23%)]\tLoss: 0.337916, Accuracy: 87.89\n",
      "Train Epoch: 14 [12800/50000 (28%)]\tLoss: 0.295700, Accuracy: 89.45\n",
      "Train Epoch: 14 [15360/50000 (34%)]\tLoss: 0.348571, Accuracy: 87.30\n",
      "Train Epoch: 14 [17920/50000 (40%)]\tLoss: 0.384943, Accuracy: 85.74\n",
      "Train Epoch: 14 [20480/50000 (45%)]\tLoss: 0.302959, Accuracy: 90.04\n",
      "Train Epoch: 14 [23040/50000 (51%)]\tLoss: 0.272595, Accuracy: 90.23\n",
      "Train Epoch: 14 [25600/50000 (57%)]\tLoss: 0.354722, Accuracy: 86.33\n",
      "Train Epoch: 14 [28160/50000 (62%)]\tLoss: 0.303965, Accuracy: 90.43\n",
      "Train Epoch: 14 [30720/50000 (68%)]\tLoss: 0.356629, Accuracy: 86.33\n",
      "Train Epoch: 14 [33280/50000 (74%)]\tLoss: 0.343852, Accuracy: 87.30\n",
      "Train Epoch: 14 [35840/50000 (80%)]\tLoss: 0.369408, Accuracy: 86.52\n",
      "Train Epoch: 14 [38400/50000 (85%)]\tLoss: 0.403895, Accuracy: 86.91\n",
      "Train Epoch: 14 [40960/50000 (91%)]\tLoss: 0.366696, Accuracy: 86.72\n",
      "Train Epoch: 14 [43520/50000 (97%)]\tLoss: 0.399660, Accuracy: 86.91\n",
      "\n",
      "Validation set: Average loss: 0.6700, Accuracy: 3899/5000 (77.00%)\n",
      "\n",
      "the time of this epoch:[32.12965536117554 s]\n",
      "Train Epoch: 15 [0/50000 (0%)]\tLoss: 0.370849, Accuracy: 87.30\n",
      "Train Epoch: 15 [2560/50000 (6%)]\tLoss: 0.346746, Accuracy: 88.09\n",
      "Train Epoch: 15 [5120/50000 (11%)]\tLoss: 0.274885, Accuracy: 91.41\n",
      "Train Epoch: 15 [7680/50000 (17%)]\tLoss: 0.317607, Accuracy: 89.06\n",
      "Train Epoch: 15 [10240/50000 (23%)]\tLoss: 0.318811, Accuracy: 90.04\n",
      "Train Epoch: 15 [12800/50000 (28%)]\tLoss: 0.311071, Accuracy: 90.04\n",
      "Train Epoch: 15 [15360/50000 (34%)]\tLoss: 0.287606, Accuracy: 88.87\n",
      "Train Epoch: 15 [17920/50000 (40%)]\tLoss: 0.283243, Accuracy: 91.21\n",
      "Train Epoch: 15 [20480/50000 (45%)]\tLoss: 0.397773, Accuracy: 85.74\n",
      "Train Epoch: 15 [23040/50000 (51%)]\tLoss: 0.320607, Accuracy: 86.91\n",
      "Train Epoch: 15 [25600/50000 (57%)]\tLoss: 0.337934, Accuracy: 89.26\n",
      "Train Epoch: 15 [28160/50000 (62%)]\tLoss: 0.419768, Accuracy: 86.72\n",
      "Train Epoch: 15 [30720/50000 (68%)]\tLoss: 0.359649, Accuracy: 87.70\n",
      "Train Epoch: 15 [33280/50000 (74%)]\tLoss: 0.392463, Accuracy: 87.11\n",
      "Train Epoch: 15 [35840/50000 (80%)]\tLoss: 0.291664, Accuracy: 90.62\n",
      "Train Epoch: 15 [38400/50000 (85%)]\tLoss: 0.353543, Accuracy: 86.91\n",
      "Train Epoch: 15 [40960/50000 (91%)]\tLoss: 0.333062, Accuracy: 89.06\n",
      "Train Epoch: 15 [43520/50000 (97%)]\tLoss: 0.461787, Accuracy: 83.01\n",
      "\n",
      "Validation set: Average loss: 0.6102, Accuracy: 4035/5000 (80.00%)\n",
      "\n",
      "the time of this epoch:[32.11686635017395 s]\n",
      "Train Epoch: 16 [0/50000 (0%)]\tLoss: 0.298970, Accuracy: 90.23\n",
      "Train Epoch: 16 [2560/50000 (6%)]\tLoss: 0.325373, Accuracy: 89.65\n",
      "Train Epoch: 16 [5120/50000 (11%)]\tLoss: 0.275725, Accuracy: 92.58\n",
      "Train Epoch: 16 [7680/50000 (17%)]\tLoss: 0.365202, Accuracy: 86.72\n",
      "Train Epoch: 16 [10240/50000 (23%)]\tLoss: 0.312791, Accuracy: 88.87\n",
      "Train Epoch: 16 [12800/50000 (28%)]\tLoss: 0.303005, Accuracy: 91.21\n",
      "Train Epoch: 16 [15360/50000 (34%)]\tLoss: 0.286296, Accuracy: 90.62\n",
      "Train Epoch: 16 [17920/50000 (40%)]\tLoss: 0.277923, Accuracy: 89.84\n",
      "Train Epoch: 16 [20480/50000 (45%)]\tLoss: 0.258307, Accuracy: 90.23\n",
      "Train Epoch: 16 [23040/50000 (51%)]\tLoss: 0.281214, Accuracy: 89.84\n",
      "Train Epoch: 16 [25600/50000 (57%)]\tLoss: 0.308530, Accuracy: 89.45\n",
      "Train Epoch: 16 [28160/50000 (62%)]\tLoss: 0.357887, Accuracy: 86.91\n",
      "Train Epoch: 16 [30720/50000 (68%)]\tLoss: 0.373457, Accuracy: 86.33\n",
      "Train Epoch: 16 [33280/50000 (74%)]\tLoss: 0.322183, Accuracy: 88.28\n",
      "Train Epoch: 16 [35840/50000 (80%)]\tLoss: 0.328216, Accuracy: 89.45\n",
      "Train Epoch: 16 [38400/50000 (85%)]\tLoss: 0.428398, Accuracy: 84.77\n",
      "Train Epoch: 16 [40960/50000 (91%)]\tLoss: 0.406110, Accuracy: 85.55\n",
      "Train Epoch: 16 [43520/50000 (97%)]\tLoss: 0.327341, Accuracy: 88.48\n",
      "\n",
      "Validation set: Average loss: 0.5292, Accuracy: 4125/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.17506766319275 s]\n",
      "Train Epoch: 17 [0/50000 (0%)]\tLoss: 0.328444, Accuracy: 89.45\n",
      "Train Epoch: 17 [2560/50000 (6%)]\tLoss: 0.286452, Accuracy: 89.45\n",
      "Train Epoch: 17 [5120/50000 (11%)]\tLoss: 0.261354, Accuracy: 91.99\n",
      "Train Epoch: 17 [7680/50000 (17%)]\tLoss: 0.297515, Accuracy: 90.23\n",
      "Train Epoch: 17 [10240/50000 (23%)]\tLoss: 0.304897, Accuracy: 89.45\n",
      "Train Epoch: 17 [12800/50000 (28%)]\tLoss: 0.303592, Accuracy: 88.09\n",
      "Train Epoch: 17 [15360/50000 (34%)]\tLoss: 0.340608, Accuracy: 87.50\n",
      "Train Epoch: 17 [17920/50000 (40%)]\tLoss: 0.326293, Accuracy: 88.87\n",
      "Train Epoch: 17 [20480/50000 (45%)]\tLoss: 0.269766, Accuracy: 90.23\n",
      "Train Epoch: 17 [23040/50000 (51%)]\tLoss: 0.348031, Accuracy: 88.87\n",
      "Train Epoch: 17 [25600/50000 (57%)]\tLoss: 0.262878, Accuracy: 91.02\n",
      "Train Epoch: 17 [28160/50000 (62%)]\tLoss: 0.335771, Accuracy: 90.43\n",
      "Train Epoch: 17 [30720/50000 (68%)]\tLoss: 0.340359, Accuracy: 90.04\n",
      "Train Epoch: 17 [33280/50000 (74%)]\tLoss: 0.380795, Accuracy: 87.70\n",
      "Train Epoch: 17 [35840/50000 (80%)]\tLoss: 0.346375, Accuracy: 88.28\n",
      "Train Epoch: 17 [38400/50000 (85%)]\tLoss: 0.331129, Accuracy: 89.26\n",
      "Train Epoch: 17 [40960/50000 (91%)]\tLoss: 0.293200, Accuracy: 89.84\n",
      "Train Epoch: 17 [43520/50000 (97%)]\tLoss: 0.236864, Accuracy: 92.97\n",
      "\n",
      "Validation set: Average loss: 0.4804, Accuracy: 4202/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.1516330242157 s]\n",
      "Train Epoch: 18 [0/50000 (0%)]\tLoss: 0.264043, Accuracy: 91.99\n",
      "Train Epoch: 18 [2560/50000 (6%)]\tLoss: 0.324700, Accuracy: 88.67\n",
      "Train Epoch: 18 [5120/50000 (11%)]\tLoss: 0.328710, Accuracy: 88.87\n",
      "Train Epoch: 18 [7680/50000 (17%)]\tLoss: 0.293386, Accuracy: 89.06\n",
      "Train Epoch: 18 [10240/50000 (23%)]\tLoss: 0.328007, Accuracy: 88.28\n",
      "Train Epoch: 18 [12800/50000 (28%)]\tLoss: 0.291290, Accuracy: 90.43\n",
      "Train Epoch: 18 [15360/50000 (34%)]\tLoss: 0.295820, Accuracy: 90.04\n",
      "Train Epoch: 18 [17920/50000 (40%)]\tLoss: 0.320233, Accuracy: 88.87\n",
      "Train Epoch: 18 [20480/50000 (45%)]\tLoss: 0.342736, Accuracy: 89.06\n",
      "Train Epoch: 18 [23040/50000 (51%)]\tLoss: 0.293850, Accuracy: 89.84\n",
      "Train Epoch: 18 [25600/50000 (57%)]\tLoss: 0.294886, Accuracy: 89.26\n",
      "Train Epoch: 18 [28160/50000 (62%)]\tLoss: 0.291593, Accuracy: 89.06\n",
      "Train Epoch: 18 [30720/50000 (68%)]\tLoss: 0.283992, Accuracy: 90.04\n",
      "Train Epoch: 18 [33280/50000 (74%)]\tLoss: 0.287049, Accuracy: 89.26\n",
      "Train Epoch: 18 [35840/50000 (80%)]\tLoss: 0.358951, Accuracy: 87.70\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 18 [38400/50000 (85%)]\tLoss: 0.344636, Accuracy: 89.26\n",
      "Train Epoch: 18 [40960/50000 (91%)]\tLoss: 0.315032, Accuracy: 88.67\n",
      "Train Epoch: 18 [43520/50000 (97%)]\tLoss: 0.347471, Accuracy: 88.28\n",
      "\n",
      "Validation set: Average loss: 0.5432, Accuracy: 4120/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.18073797225952 s]\n",
      "Train Epoch: 19 [0/50000 (0%)]\tLoss: 0.257005, Accuracy: 91.60\n",
      "Train Epoch: 19 [2560/50000 (6%)]\tLoss: 0.282646, Accuracy: 89.65\n",
      "Train Epoch: 19 [5120/50000 (11%)]\tLoss: 0.279185, Accuracy: 89.65\n",
      "Train Epoch: 19 [7680/50000 (17%)]\tLoss: 0.264177, Accuracy: 90.23\n",
      "Train Epoch: 19 [10240/50000 (23%)]\tLoss: 0.225549, Accuracy: 91.41\n",
      "Train Epoch: 19 [12800/50000 (28%)]\tLoss: 0.249681, Accuracy: 91.60\n",
      "Train Epoch: 19 [15360/50000 (34%)]\tLoss: 0.307009, Accuracy: 89.45\n",
      "Train Epoch: 19 [17920/50000 (40%)]\tLoss: 0.306037, Accuracy: 88.09\n",
      "Train Epoch: 19 [20480/50000 (45%)]\tLoss: 0.285298, Accuracy: 90.82\n",
      "Train Epoch: 19 [23040/50000 (51%)]\tLoss: 0.261493, Accuracy: 90.62\n",
      "Train Epoch: 19 [25600/50000 (57%)]\tLoss: 0.297997, Accuracy: 89.84\n",
      "Train Epoch: 19 [28160/50000 (62%)]\tLoss: 0.308610, Accuracy: 89.65\n",
      "Train Epoch: 19 [30720/50000 (68%)]\tLoss: 0.323583, Accuracy: 88.48\n",
      "Train Epoch: 19 [33280/50000 (74%)]\tLoss: 0.332906, Accuracy: 88.48\n",
      "Train Epoch: 19 [35840/50000 (80%)]\tLoss: 0.325724, Accuracy: 88.09\n",
      "Train Epoch: 19 [38400/50000 (85%)]\tLoss: 0.306800, Accuracy: 89.45\n",
      "Train Epoch: 19 [40960/50000 (91%)]\tLoss: 0.299644, Accuracy: 90.04\n",
      "Train Epoch: 19 [43520/50000 (97%)]\tLoss: 0.334192, Accuracy: 88.28\n",
      "\n",
      "Validation set: Average loss: 0.5202, Accuracy: 4117/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.12782168388367 s]\n",
      "Train Epoch: 20 [0/50000 (0%)]\tLoss: 0.257686, Accuracy: 91.80\n",
      "Train Epoch: 20 [2560/50000 (6%)]\tLoss: 0.284964, Accuracy: 91.02\n",
      "Train Epoch: 20 [5120/50000 (11%)]\tLoss: 0.239334, Accuracy: 91.60\n",
      "Train Epoch: 20 [7680/50000 (17%)]\tLoss: 0.301078, Accuracy: 90.23\n",
      "Train Epoch: 20 [10240/50000 (23%)]\tLoss: 0.293431, Accuracy: 88.87\n",
      "Train Epoch: 20 [12800/50000 (28%)]\tLoss: 0.288188, Accuracy: 89.45\n",
      "Train Epoch: 20 [15360/50000 (34%)]\tLoss: 0.267864, Accuracy: 91.02\n",
      "Train Epoch: 20 [17920/50000 (40%)]\tLoss: 0.269194, Accuracy: 90.04\n",
      "Train Epoch: 20 [20480/50000 (45%)]\tLoss: 0.323421, Accuracy: 90.04\n",
      "Train Epoch: 20 [23040/50000 (51%)]\tLoss: 0.276431, Accuracy: 90.04\n",
      "Train Epoch: 20 [25600/50000 (57%)]\tLoss: 0.317837, Accuracy: 90.04\n",
      "Train Epoch: 20 [28160/50000 (62%)]\tLoss: 0.278334, Accuracy: 90.04\n",
      "Train Epoch: 20 [30720/50000 (68%)]\tLoss: 0.280464, Accuracy: 90.04\n",
      "Train Epoch: 20 [33280/50000 (74%)]\tLoss: 0.297761, Accuracy: 90.04\n",
      "Train Epoch: 20 [35840/50000 (80%)]\tLoss: 0.287183, Accuracy: 89.06\n",
      "Train Epoch: 20 [38400/50000 (85%)]\tLoss: 0.270634, Accuracy: 90.62\n",
      "Train Epoch: 20 [40960/50000 (91%)]\tLoss: 0.228319, Accuracy: 92.38\n",
      "Train Epoch: 20 [43520/50000 (97%)]\tLoss: 0.305139, Accuracy: 89.45\n",
      "\n",
      "Validation set: Average loss: 0.5752, Accuracy: 4117/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.12951469421387 s]\n",
      "\n",
      "Test set: Average loss: 0.5907, Accuracy: 8164/10000 (81.64%)\n",
      "\n",
      "Train Epoch: 21 [0/50000 (0%)]\tLoss: 0.270210, Accuracy: 91.80\n",
      "Train Epoch: 21 [2560/50000 (6%)]\tLoss: 0.268563, Accuracy: 89.84\n",
      "Train Epoch: 21 [5120/50000 (11%)]\tLoss: 0.283092, Accuracy: 90.43\n",
      "Train Epoch: 21 [7680/50000 (17%)]\tLoss: 0.259912, Accuracy: 91.41\n",
      "Train Epoch: 21 [10240/50000 (23%)]\tLoss: 0.224795, Accuracy: 91.99\n",
      "Train Epoch: 21 [12800/50000 (28%)]\tLoss: 0.245177, Accuracy: 90.23\n",
      "Train Epoch: 21 [15360/50000 (34%)]\tLoss: 0.310987, Accuracy: 89.26\n",
      "Train Epoch: 21 [17920/50000 (40%)]\tLoss: 0.256075, Accuracy: 91.41\n",
      "Train Epoch: 21 [20480/50000 (45%)]\tLoss: 0.301088, Accuracy: 89.26\n",
      "Train Epoch: 21 [23040/50000 (51%)]\tLoss: 0.306401, Accuracy: 90.62\n",
      "Train Epoch: 21 [25600/50000 (57%)]\tLoss: 0.287248, Accuracy: 90.23\n",
      "Train Epoch: 21 [28160/50000 (62%)]\tLoss: 0.276239, Accuracy: 90.43\n",
      "Train Epoch: 21 [30720/50000 (68%)]\tLoss: 0.306510, Accuracy: 89.45\n",
      "Train Epoch: 21 [33280/50000 (74%)]\tLoss: 0.298745, Accuracy: 88.09\n",
      "Train Epoch: 21 [35840/50000 (80%)]\tLoss: 0.356919, Accuracy: 87.50\n",
      "Train Epoch: 21 [38400/50000 (85%)]\tLoss: 0.263018, Accuracy: 91.41\n",
      "Train Epoch: 21 [40960/50000 (91%)]\tLoss: 0.321308, Accuracy: 89.06\n",
      "Train Epoch: 21 [43520/50000 (97%)]\tLoss: 0.256290, Accuracy: 91.21\n",
      "\n",
      "Validation set: Average loss: 0.6203, Accuracy: 4029/5000 (80.00%)\n",
      "\n",
      "the time of this epoch:[34.95411133766174 s]\n",
      "Train Epoch: 22 [0/50000 (0%)]\tLoss: 0.264938, Accuracy: 91.41\n",
      "Train Epoch: 22 [2560/50000 (6%)]\tLoss: 0.270470, Accuracy: 92.19\n",
      "Train Epoch: 22 [5120/50000 (11%)]\tLoss: 0.304193, Accuracy: 89.84\n",
      "Train Epoch: 22 [7680/50000 (17%)]\tLoss: 0.330522, Accuracy: 88.87\n",
      "Train Epoch: 22 [10240/50000 (23%)]\tLoss: 0.326381, Accuracy: 89.84\n",
      "Train Epoch: 22 [12800/50000 (28%)]\tLoss: 0.286227, Accuracy: 90.62\n",
      "Train Epoch: 22 [15360/50000 (34%)]\tLoss: 0.233305, Accuracy: 92.19\n",
      "Train Epoch: 22 [17920/50000 (40%)]\tLoss: 0.275061, Accuracy: 89.45\n",
      "Train Epoch: 22 [20480/50000 (45%)]\tLoss: 0.232923, Accuracy: 92.38\n",
      "Train Epoch: 22 [23040/50000 (51%)]\tLoss: 0.265152, Accuracy: 91.60\n",
      "Train Epoch: 22 [25600/50000 (57%)]\tLoss: 0.279309, Accuracy: 89.45\n",
      "Train Epoch: 22 [28160/50000 (62%)]\tLoss: 0.330294, Accuracy: 88.09\n",
      "Train Epoch: 22 [30720/50000 (68%)]\tLoss: 0.314428, Accuracy: 88.87\n",
      "Train Epoch: 22 [33280/50000 (74%)]\tLoss: 0.254824, Accuracy: 90.43\n",
      "Train Epoch: 22 [35840/50000 (80%)]\tLoss: 0.307760, Accuracy: 91.02\n",
      "Train Epoch: 22 [38400/50000 (85%)]\tLoss: 0.296260, Accuracy: 90.04\n",
      "Train Epoch: 22 [40960/50000 (91%)]\tLoss: 0.329122, Accuracy: 89.84\n",
      "Train Epoch: 22 [43520/50000 (97%)]\tLoss: 0.300415, Accuracy: 89.65\n",
      "\n",
      "Validation set: Average loss: 0.4317, Accuracy: 4274/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[32.14253568649292 s]\n",
      "Train Epoch: 23 [0/50000 (0%)]\tLoss: 0.240310, Accuracy: 93.16\n",
      "Train Epoch: 23 [2560/50000 (6%)]\tLoss: 0.251989, Accuracy: 93.16\n",
      "Train Epoch: 23 [5120/50000 (11%)]\tLoss: 0.233664, Accuracy: 92.38\n",
      "Train Epoch: 23 [7680/50000 (17%)]\tLoss: 0.274719, Accuracy: 91.60\n",
      "Train Epoch: 23 [10240/50000 (23%)]\tLoss: 0.210337, Accuracy: 93.36\n",
      "Train Epoch: 23 [12800/50000 (28%)]\tLoss: 0.216961, Accuracy: 92.58\n",
      "Train Epoch: 23 [15360/50000 (34%)]\tLoss: 0.296743, Accuracy: 89.06\n",
      "Train Epoch: 23 [17920/50000 (40%)]\tLoss: 0.259535, Accuracy: 91.41\n",
      "Train Epoch: 23 [20480/50000 (45%)]\tLoss: 0.228734, Accuracy: 94.14\n",
      "Train Epoch: 23 [23040/50000 (51%)]\tLoss: 0.271110, Accuracy: 89.65\n",
      "Train Epoch: 23 [25600/50000 (57%)]\tLoss: 0.317096, Accuracy: 88.48\n",
      "Train Epoch: 23 [28160/50000 (62%)]\tLoss: 0.313075, Accuracy: 89.45\n",
      "Train Epoch: 23 [30720/50000 (68%)]\tLoss: 0.299219, Accuracy: 90.62\n",
      "Train Epoch: 23 [33280/50000 (74%)]\tLoss: 0.313593, Accuracy: 89.45\n",
      "Train Epoch: 23 [35840/50000 (80%)]\tLoss: 0.231576, Accuracy: 92.77\n",
      "Train Epoch: 23 [38400/50000 (85%)]\tLoss: 0.304513, Accuracy: 90.04\n",
      "Train Epoch: 23 [40960/50000 (91%)]\tLoss: 0.309352, Accuracy: 89.26\n",
      "Train Epoch: 23 [43520/50000 (97%)]\tLoss: 0.321367, Accuracy: 88.28\n",
      "\n",
      "Validation set: Average loss: 0.5210, Accuracy: 4152/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[32.16519284248352 s]\n",
      "Train Epoch: 24 [0/50000 (0%)]\tLoss: 0.228028, Accuracy: 91.60\n",
      "Train Epoch: 24 [2560/50000 (6%)]\tLoss: 0.293219, Accuracy: 89.45\n",
      "Train Epoch: 24 [5120/50000 (11%)]\tLoss: 0.248598, Accuracy: 90.82\n",
      "Train Epoch: 24 [7680/50000 (17%)]\tLoss: 0.234862, Accuracy: 92.19\n",
      "Train Epoch: 24 [10240/50000 (23%)]\tLoss: 0.229088, Accuracy: 91.60\n",
      "Train Epoch: 24 [12800/50000 (28%)]\tLoss: 0.249286, Accuracy: 90.43\n",
      "Train Epoch: 24 [15360/50000 (34%)]\tLoss: 0.259793, Accuracy: 91.41\n",
      "Train Epoch: 24 [17920/50000 (40%)]\tLoss: 0.252819, Accuracy: 91.80\n",
      "Train Epoch: 24 [20480/50000 (45%)]\tLoss: 0.279623, Accuracy: 91.21\n",
      "Train Epoch: 24 [23040/50000 (51%)]\tLoss: 0.290673, Accuracy: 91.21\n",
      "Train Epoch: 24 [25600/50000 (57%)]\tLoss: 0.202017, Accuracy: 92.38\n",
      "Train Epoch: 24 [28160/50000 (62%)]\tLoss: 0.278204, Accuracy: 90.43\n",
      "Train Epoch: 24 [30720/50000 (68%)]\tLoss: 0.309180, Accuracy: 88.67\n",
      "Train Epoch: 24 [33280/50000 (74%)]\tLoss: 0.284739, Accuracy: 90.23\n",
      "Train Epoch: 24 [35840/50000 (80%)]\tLoss: 0.276558, Accuracy: 89.26\n",
      "Train Epoch: 24 [38400/50000 (85%)]\tLoss: 0.251235, Accuracy: 91.60\n",
      "Train Epoch: 24 [40960/50000 (91%)]\tLoss: 0.286278, Accuracy: 90.04\n",
      "Train Epoch: 24 [43520/50000 (97%)]\tLoss: 0.289708, Accuracy: 88.48\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Validation set: Average loss: 0.5096, Accuracy: 4159/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[32.10834741592407 s]\n",
      "Train Epoch: 25 [0/50000 (0%)]\tLoss: 0.278516, Accuracy: 91.80\n",
      "Train Epoch: 25 [2560/50000 (6%)]\tLoss: 0.282524, Accuracy: 90.23\n",
      "Train Epoch: 25 [5120/50000 (11%)]\tLoss: 0.271112, Accuracy: 91.99\n",
      "Train Epoch: 25 [7680/50000 (17%)]\tLoss: 0.305480, Accuracy: 88.48\n",
      "Train Epoch: 25 [10240/50000 (23%)]\tLoss: 0.230690, Accuracy: 93.16\n",
      "Train Epoch: 25 [12800/50000 (28%)]\tLoss: 0.246053, Accuracy: 91.41\n",
      "Train Epoch: 25 [15360/50000 (34%)]\tLoss: 0.259436, Accuracy: 91.21\n",
      "Train Epoch: 25 [17920/50000 (40%)]\tLoss: 0.215764, Accuracy: 92.58\n",
      "Train Epoch: 25 [20480/50000 (45%)]\tLoss: 0.205546, Accuracy: 93.36\n",
      "Train Epoch: 25 [23040/50000 (51%)]\tLoss: 0.243857, Accuracy: 92.38\n",
      "Train Epoch: 25 [25600/50000 (57%)]\tLoss: 0.220079, Accuracy: 91.99\n",
      "Train Epoch: 25 [28160/50000 (62%)]\tLoss: 0.242225, Accuracy: 90.04\n",
      "Train Epoch: 25 [30720/50000 (68%)]\tLoss: 0.276642, Accuracy: 90.43\n",
      "Train Epoch: 25 [33280/50000 (74%)]\tLoss: 0.320720, Accuracy: 90.23\n",
      "Train Epoch: 25 [35840/50000 (80%)]\tLoss: 0.261697, Accuracy: 90.04\n",
      "Train Epoch: 25 [38400/50000 (85%)]\tLoss: 0.297739, Accuracy: 89.45\n",
      "Train Epoch: 25 [40960/50000 (91%)]\tLoss: 0.245954, Accuracy: 91.80\n",
      "Train Epoch: 25 [43520/50000 (97%)]\tLoss: 0.282164, Accuracy: 89.45\n",
      "\n",
      "Validation set: Average loss: 0.4449, Accuracy: 4271/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[32.13434314727783 s]\n",
      "Train Epoch: 26 [0/50000 (0%)]\tLoss: 0.215843, Accuracy: 91.99\n",
      "Train Epoch: 26 [2560/50000 (6%)]\tLoss: 0.265494, Accuracy: 91.02\n",
      "Train Epoch: 26 [5120/50000 (11%)]\tLoss: 0.252848, Accuracy: 91.80\n",
      "Train Epoch: 26 [7680/50000 (17%)]\tLoss: 0.214164, Accuracy: 93.36\n",
      "Train Epoch: 26 [10240/50000 (23%)]\tLoss: 0.266676, Accuracy: 90.04\n",
      "Train Epoch: 26 [12800/50000 (28%)]\tLoss: 0.286527, Accuracy: 90.43\n",
      "Train Epoch: 26 [15360/50000 (34%)]\tLoss: 0.263439, Accuracy: 90.43\n",
      "Train Epoch: 26 [17920/50000 (40%)]\tLoss: 0.260260, Accuracy: 91.60\n",
      "Train Epoch: 26 [20480/50000 (45%)]\tLoss: 0.216666, Accuracy: 92.58\n",
      "Train Epoch: 26 [23040/50000 (51%)]\tLoss: 0.249135, Accuracy: 91.02\n",
      "Train Epoch: 26 [25600/50000 (57%)]\tLoss: 0.314022, Accuracy: 90.23\n",
      "Train Epoch: 26 [28160/50000 (62%)]\tLoss: 0.289852, Accuracy: 90.82\n",
      "Train Epoch: 26 [30720/50000 (68%)]\tLoss: 0.253986, Accuracy: 90.23\n",
      "Train Epoch: 26 [33280/50000 (74%)]\tLoss: 0.221662, Accuracy: 93.75\n",
      "Train Epoch: 26 [35840/50000 (80%)]\tLoss: 0.258317, Accuracy: 91.60\n",
      "Train Epoch: 26 [38400/50000 (85%)]\tLoss: 0.254279, Accuracy: 92.58\n",
      "Train Epoch: 26 [40960/50000 (91%)]\tLoss: 0.276781, Accuracy: 88.87\n",
      "Train Epoch: 26 [43520/50000 (97%)]\tLoss: 0.329660, Accuracy: 89.84\n",
      "\n",
      "Validation set: Average loss: 0.5914, Accuracy: 4072/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[32.11377191543579 s]\n",
      "Train Epoch: 27 [0/50000 (0%)]\tLoss: 0.228162, Accuracy: 92.58\n",
      "Train Epoch: 27 [2560/50000 (6%)]\tLoss: 0.217992, Accuracy: 92.38\n",
      "Train Epoch: 27 [5120/50000 (11%)]\tLoss: 0.207284, Accuracy: 92.58\n",
      "Train Epoch: 27 [7680/50000 (17%)]\tLoss: 0.243482, Accuracy: 91.21\n",
      "Train Epoch: 27 [10240/50000 (23%)]\tLoss: 0.304911, Accuracy: 91.02\n",
      "Train Epoch: 27 [12800/50000 (28%)]\tLoss: 0.264083, Accuracy: 91.41\n",
      "Train Epoch: 27 [15360/50000 (34%)]\tLoss: 0.269787, Accuracy: 90.04\n",
      "Train Epoch: 27 [17920/50000 (40%)]\tLoss: 0.222629, Accuracy: 92.58\n",
      "Train Epoch: 27 [20480/50000 (45%)]\tLoss: 0.259239, Accuracy: 91.99\n",
      "Train Epoch: 27 [23040/50000 (51%)]\tLoss: 0.252374, Accuracy: 90.82\n",
      "Train Epoch: 27 [25600/50000 (57%)]\tLoss: 0.266969, Accuracy: 89.84\n",
      "Train Epoch: 27 [28160/50000 (62%)]\tLoss: 0.325124, Accuracy: 88.28\n",
      "Train Epoch: 27 [30720/50000 (68%)]\tLoss: 0.270736, Accuracy: 90.23\n",
      "Train Epoch: 27 [33280/50000 (74%)]\tLoss: 0.281825, Accuracy: 90.43\n",
      "Train Epoch: 27 [35840/50000 (80%)]\tLoss: 0.299109, Accuracy: 89.26\n",
      "Train Epoch: 27 [38400/50000 (85%)]\tLoss: 0.303610, Accuracy: 89.45\n",
      "Train Epoch: 27 [40960/50000 (91%)]\tLoss: 0.272802, Accuracy: 89.84\n",
      "Train Epoch: 27 [43520/50000 (97%)]\tLoss: 0.259107, Accuracy: 90.82\n",
      "\n",
      "Validation set: Average loss: 0.4548, Accuracy: 4226/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.10703444480896 s]\n",
      "Train Epoch: 28 [0/50000 (0%)]\tLoss: 0.211734, Accuracy: 92.19\n",
      "Train Epoch: 28 [2560/50000 (6%)]\tLoss: 0.235283, Accuracy: 92.77\n",
      "Train Epoch: 28 [5120/50000 (11%)]\tLoss: 0.260597, Accuracy: 89.84\n",
      "Train Epoch: 28 [7680/50000 (17%)]\tLoss: 0.234076, Accuracy: 92.19\n",
      "Train Epoch: 28 [10240/50000 (23%)]\tLoss: 0.234217, Accuracy: 91.41\n",
      "Train Epoch: 28 [12800/50000 (28%)]\tLoss: 0.210439, Accuracy: 91.99\n",
      "Train Epoch: 28 [15360/50000 (34%)]\tLoss: 0.234819, Accuracy: 91.99\n",
      "Train Epoch: 28 [17920/50000 (40%)]\tLoss: 0.205390, Accuracy: 91.80\n",
      "Train Epoch: 28 [20480/50000 (45%)]\tLoss: 0.248347, Accuracy: 91.60\n",
      "Train Epoch: 28 [23040/50000 (51%)]\tLoss: 0.237326, Accuracy: 91.21\n",
      "Train Epoch: 28 [25600/50000 (57%)]\tLoss: 0.230047, Accuracy: 92.19\n",
      "Train Epoch: 28 [28160/50000 (62%)]\tLoss: 0.277089, Accuracy: 90.23\n",
      "Train Epoch: 28 [30720/50000 (68%)]\tLoss: 0.238576, Accuracy: 91.21\n",
      "Train Epoch: 28 [33280/50000 (74%)]\tLoss: 0.251719, Accuracy: 91.02\n",
      "Train Epoch: 28 [35840/50000 (80%)]\tLoss: 0.273530, Accuracy: 90.43\n",
      "Train Epoch: 28 [38400/50000 (85%)]\tLoss: 0.286789, Accuracy: 90.04\n",
      "Train Epoch: 28 [40960/50000 (91%)]\tLoss: 0.258411, Accuracy: 91.41\n",
      "Train Epoch: 28 [43520/50000 (97%)]\tLoss: 0.274525, Accuracy: 91.99\n",
      "\n",
      "Validation set: Average loss: 0.5511, Accuracy: 4140/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.05470395088196 s]\n",
      "Train Epoch: 29 [0/50000 (0%)]\tLoss: 0.220472, Accuracy: 92.58\n",
      "Train Epoch: 29 [2560/50000 (6%)]\tLoss: 0.232741, Accuracy: 91.21\n",
      "Train Epoch: 29 [5120/50000 (11%)]\tLoss: 0.191101, Accuracy: 92.77\n",
      "Train Epoch: 29 [7680/50000 (17%)]\tLoss: 0.275719, Accuracy: 89.45\n",
      "Train Epoch: 29 [10240/50000 (23%)]\tLoss: 0.199201, Accuracy: 91.99\n",
      "Train Epoch: 29 [12800/50000 (28%)]\tLoss: 0.227006, Accuracy: 92.38\n",
      "Train Epoch: 29 [15360/50000 (34%)]\tLoss: 0.198385, Accuracy: 94.14\n",
      "Train Epoch: 29 [17920/50000 (40%)]\tLoss: 0.240512, Accuracy: 92.19\n",
      "Train Epoch: 29 [20480/50000 (45%)]\tLoss: 0.283297, Accuracy: 89.84\n",
      "Train Epoch: 29 [23040/50000 (51%)]\tLoss: 0.293643, Accuracy: 89.65\n",
      "Train Epoch: 29 [25600/50000 (57%)]\tLoss: 0.231028, Accuracy: 92.19\n",
      "Train Epoch: 29 [28160/50000 (62%)]\tLoss: 0.206217, Accuracy: 93.36\n",
      "Train Epoch: 29 [30720/50000 (68%)]\tLoss: 0.236474, Accuracy: 92.38\n",
      "Train Epoch: 29 [33280/50000 (74%)]\tLoss: 0.283997, Accuracy: 89.84\n",
      "Train Epoch: 29 [35840/50000 (80%)]\tLoss: 0.244442, Accuracy: 91.80\n",
      "Train Epoch: 29 [38400/50000 (85%)]\tLoss: 0.320616, Accuracy: 88.67\n",
      "Train Epoch: 29 [40960/50000 (91%)]\tLoss: 0.217400, Accuracy: 92.97\n",
      "Train Epoch: 29 [43520/50000 (97%)]\tLoss: 0.292906, Accuracy: 89.65\n",
      "\n",
      "Validation set: Average loss: 0.5346, Accuracy: 4117/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.05573773384094 s]\n",
      "Train Epoch: 30 [0/50000 (0%)]\tLoss: 0.265472, Accuracy: 91.60\n",
      "Train Epoch: 30 [2560/50000 (6%)]\tLoss: 0.229923, Accuracy: 91.80\n",
      "Train Epoch: 30 [5120/50000 (11%)]\tLoss: 0.198120, Accuracy: 93.75\n",
      "Train Epoch: 30 [7680/50000 (17%)]\tLoss: 0.240122, Accuracy: 91.80\n",
      "Train Epoch: 30 [10240/50000 (23%)]\tLoss: 0.255493, Accuracy: 90.23\n",
      "Train Epoch: 30 [12800/50000 (28%)]\tLoss: 0.232133, Accuracy: 91.80\n",
      "Train Epoch: 30 [15360/50000 (34%)]\tLoss: 0.209634, Accuracy: 93.55\n",
      "Train Epoch: 30 [17920/50000 (40%)]\tLoss: 0.224523, Accuracy: 92.19\n",
      "Train Epoch: 30 [20480/50000 (45%)]\tLoss: 0.244035, Accuracy: 92.38\n",
      "Train Epoch: 30 [23040/50000 (51%)]\tLoss: 0.245461, Accuracy: 91.60\n",
      "Train Epoch: 30 [25600/50000 (57%)]\tLoss: 0.206765, Accuracy: 92.38\n",
      "Train Epoch: 30 [28160/50000 (62%)]\tLoss: 0.291680, Accuracy: 89.06\n",
      "Train Epoch: 30 [30720/50000 (68%)]\tLoss: 0.203480, Accuracy: 92.58\n",
      "Train Epoch: 30 [33280/50000 (74%)]\tLoss: 0.264608, Accuracy: 91.60\n",
      "Train Epoch: 30 [35840/50000 (80%)]\tLoss: 0.262625, Accuracy: 91.60\n",
      "Train Epoch: 30 [38400/50000 (85%)]\tLoss: 0.229931, Accuracy: 93.16\n",
      "Train Epoch: 30 [40960/50000 (91%)]\tLoss: 0.258000, Accuracy: 92.19\n",
      "Train Epoch: 30 [43520/50000 (97%)]\tLoss: 0.233138, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.5025, Accuracy: 4226/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.03395748138428 s]\n",
      "\n",
      "Test set: Average loss: 0.4923, Accuracy: 8457/10000 (84.57%)\n",
      "\n",
      "Train Epoch: 31 [0/50000 (0%)]\tLoss: 0.227259, Accuracy: 92.38\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 31 [2560/50000 (6%)]\tLoss: 0.187236, Accuracy: 92.97\n",
      "Train Epoch: 31 [5120/50000 (11%)]\tLoss: 0.250697, Accuracy: 91.21\n",
      "Train Epoch: 31 [7680/50000 (17%)]\tLoss: 0.208716, Accuracy: 92.38\n",
      "Train Epoch: 31 [10240/50000 (23%)]\tLoss: 0.237541, Accuracy: 91.41\n",
      "Train Epoch: 31 [12800/50000 (28%)]\tLoss: 0.209232, Accuracy: 93.16\n",
      "Train Epoch: 31 [15360/50000 (34%)]\tLoss: 0.206047, Accuracy: 94.34\n",
      "Train Epoch: 31 [17920/50000 (40%)]\tLoss: 0.215234, Accuracy: 92.97\n",
      "Train Epoch: 31 [20480/50000 (45%)]\tLoss: 0.220921, Accuracy: 93.16\n",
      "Train Epoch: 31 [23040/50000 (51%)]\tLoss: 0.232656, Accuracy: 91.99\n",
      "Train Epoch: 31 [25600/50000 (57%)]\tLoss: 0.267997, Accuracy: 90.62\n",
      "Train Epoch: 31 [28160/50000 (62%)]\tLoss: 0.303591, Accuracy: 90.43\n",
      "Train Epoch: 31 [30720/50000 (68%)]\tLoss: 0.235905, Accuracy: 92.19\n",
      "Train Epoch: 31 [33280/50000 (74%)]\tLoss: 0.305872, Accuracy: 88.48\n",
      "Train Epoch: 31 [35840/50000 (80%)]\tLoss: 0.279166, Accuracy: 89.84\n",
      "Train Epoch: 31 [38400/50000 (85%)]\tLoss: 0.245304, Accuracy: 92.38\n",
      "Train Epoch: 31 [40960/50000 (91%)]\tLoss: 0.207197, Accuracy: 93.36\n",
      "Train Epoch: 31 [43520/50000 (97%)]\tLoss: 0.282528, Accuracy: 90.23\n",
      "\n",
      "Validation set: Average loss: 0.5384, Accuracy: 4180/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[34.91299843788147 s]\n",
      "Train Epoch: 32 [0/50000 (0%)]\tLoss: 0.212172, Accuracy: 93.36\n",
      "Train Epoch: 32 [2560/50000 (6%)]\tLoss: 0.199894, Accuracy: 93.55\n",
      "Train Epoch: 32 [5120/50000 (11%)]\tLoss: 0.200054, Accuracy: 92.77\n",
      "Train Epoch: 32 [7680/50000 (17%)]\tLoss: 0.244258, Accuracy: 91.80\n",
      "Train Epoch: 32 [10240/50000 (23%)]\tLoss: 0.280297, Accuracy: 90.43\n",
      "Train Epoch: 32 [12800/50000 (28%)]\tLoss: 0.176785, Accuracy: 94.34\n",
      "Train Epoch: 32 [15360/50000 (34%)]\tLoss: 0.252215, Accuracy: 91.99\n",
      "Train Epoch: 32 [17920/50000 (40%)]\tLoss: 0.172393, Accuracy: 93.36\n",
      "Train Epoch: 32 [20480/50000 (45%)]\tLoss: 0.230478, Accuracy: 91.41\n",
      "Train Epoch: 32 [23040/50000 (51%)]\tLoss: 0.237994, Accuracy: 91.99\n",
      "Train Epoch: 32 [25600/50000 (57%)]\tLoss: 0.279313, Accuracy: 90.43\n",
      "Train Epoch: 32 [28160/50000 (62%)]\tLoss: 0.198840, Accuracy: 92.58\n",
      "Train Epoch: 32 [30720/50000 (68%)]\tLoss: 0.259453, Accuracy: 90.43\n",
      "Train Epoch: 32 [33280/50000 (74%)]\tLoss: 0.269822, Accuracy: 90.62\n",
      "Train Epoch: 32 [35840/50000 (80%)]\tLoss: 0.230888, Accuracy: 92.38\n",
      "Train Epoch: 32 [38400/50000 (85%)]\tLoss: 0.310829, Accuracy: 90.23\n",
      "Train Epoch: 32 [40960/50000 (91%)]\tLoss: 0.221355, Accuracy: 90.82\n",
      "Train Epoch: 32 [43520/50000 (97%)]\tLoss: 0.323242, Accuracy: 88.28\n",
      "\n",
      "Validation set: Average loss: 0.7109, Accuracy: 3931/5000 (78.00%)\n",
      "\n",
      "the time of this epoch:[32.03148317337036 s]\n",
      "Train Epoch: 33 [0/50000 (0%)]\tLoss: 0.273718, Accuracy: 90.62\n",
      "Train Epoch: 33 [2560/50000 (6%)]\tLoss: 0.224742, Accuracy: 91.80\n",
      "Train Epoch: 33 [5120/50000 (11%)]\tLoss: 0.189154, Accuracy: 92.97\n",
      "Train Epoch: 33 [7680/50000 (17%)]\tLoss: 0.210566, Accuracy: 92.38\n",
      "Train Epoch: 33 [10240/50000 (23%)]\tLoss: 0.188824, Accuracy: 93.36\n",
      "Train Epoch: 33 [12800/50000 (28%)]\tLoss: 0.196561, Accuracy: 93.36\n",
      "Train Epoch: 33 [15360/50000 (34%)]\tLoss: 0.252603, Accuracy: 89.84\n",
      "Train Epoch: 33 [17920/50000 (40%)]\tLoss: 0.220655, Accuracy: 91.99\n",
      "Train Epoch: 33 [20480/50000 (45%)]\tLoss: 0.223655, Accuracy: 92.38\n",
      "Train Epoch: 33 [23040/50000 (51%)]\tLoss: 0.263878, Accuracy: 92.19\n",
      "Train Epoch: 33 [25600/50000 (57%)]\tLoss: 0.297654, Accuracy: 90.04\n",
      "Train Epoch: 33 [28160/50000 (62%)]\tLoss: 0.233774, Accuracy: 91.80\n",
      "Train Epoch: 33 [30720/50000 (68%)]\tLoss: 0.256751, Accuracy: 92.19\n",
      "Train Epoch: 33 [33280/50000 (74%)]\tLoss: 0.269437, Accuracy: 91.41\n",
      "Train Epoch: 33 [35840/50000 (80%)]\tLoss: 0.297067, Accuracy: 89.06\n",
      "Train Epoch: 33 [38400/50000 (85%)]\tLoss: 0.282288, Accuracy: 90.62\n",
      "Train Epoch: 33 [40960/50000 (91%)]\tLoss: 0.249481, Accuracy: 91.60\n",
      "Train Epoch: 33 [43520/50000 (97%)]\tLoss: 0.217922, Accuracy: 92.97\n",
      "\n",
      "Validation set: Average loss: 0.4896, Accuracy: 4259/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[32.051652669906616 s]\n",
      "Train Epoch: 34 [0/50000 (0%)]\tLoss: 0.211782, Accuracy: 93.36\n",
      "Train Epoch: 34 [2560/50000 (6%)]\tLoss: 0.199383, Accuracy: 92.77\n",
      "Train Epoch: 34 [5120/50000 (11%)]\tLoss: 0.193147, Accuracy: 93.75\n",
      "Train Epoch: 34 [7680/50000 (17%)]\tLoss: 0.198210, Accuracy: 92.58\n",
      "Train Epoch: 34 [10240/50000 (23%)]\tLoss: 0.212994, Accuracy: 93.16\n",
      "Train Epoch: 34 [12800/50000 (28%)]\tLoss: 0.159723, Accuracy: 95.70\n",
      "Train Epoch: 34 [15360/50000 (34%)]\tLoss: 0.195747, Accuracy: 94.53\n",
      "Train Epoch: 34 [17920/50000 (40%)]\tLoss: 0.235825, Accuracy: 91.99\n",
      "Train Epoch: 34 [20480/50000 (45%)]\tLoss: 0.231468, Accuracy: 92.38\n",
      "Train Epoch: 34 [23040/50000 (51%)]\tLoss: 0.214926, Accuracy: 93.55\n",
      "Train Epoch: 34 [25600/50000 (57%)]\tLoss: 0.223081, Accuracy: 92.58\n",
      "Train Epoch: 34 [28160/50000 (62%)]\tLoss: 0.235762, Accuracy: 92.38\n",
      "Train Epoch: 34 [30720/50000 (68%)]\tLoss: 0.258567, Accuracy: 92.19\n",
      "Train Epoch: 34 [33280/50000 (74%)]\tLoss: 0.203956, Accuracy: 93.16\n",
      "Train Epoch: 34 [35840/50000 (80%)]\tLoss: 0.240370, Accuracy: 92.77\n",
      "Train Epoch: 34 [38400/50000 (85%)]\tLoss: 0.221230, Accuracy: 92.19\n",
      "Train Epoch: 34 [40960/50000 (91%)]\tLoss: 0.220589, Accuracy: 92.77\n",
      "Train Epoch: 34 [43520/50000 (97%)]\tLoss: 0.248118, Accuracy: 91.21\n",
      "\n",
      "Validation set: Average loss: 0.4846, Accuracy: 4240/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.06228995323181 s]\n",
      "Train Epoch: 35 [0/50000 (0%)]\tLoss: 0.224398, Accuracy: 91.21\n",
      "Train Epoch: 35 [2560/50000 (6%)]\tLoss: 0.231003, Accuracy: 91.41\n",
      "Train Epoch: 35 [5120/50000 (11%)]\tLoss: 0.222267, Accuracy: 92.19\n",
      "Train Epoch: 35 [7680/50000 (17%)]\tLoss: 0.253541, Accuracy: 91.99\n",
      "Train Epoch: 35 [10240/50000 (23%)]\tLoss: 0.271888, Accuracy: 90.23\n",
      "Train Epoch: 35 [12800/50000 (28%)]\tLoss: 0.223028, Accuracy: 92.38\n",
      "Train Epoch: 35 [15360/50000 (34%)]\tLoss: 0.238633, Accuracy: 92.58\n",
      "Train Epoch: 35 [17920/50000 (40%)]\tLoss: 0.201527, Accuracy: 93.95\n",
      "Train Epoch: 35 [20480/50000 (45%)]\tLoss: 0.231097, Accuracy: 91.99\n",
      "Train Epoch: 35 [23040/50000 (51%)]\tLoss: 0.195276, Accuracy: 92.58\n",
      "Train Epoch: 35 [25600/50000 (57%)]\tLoss: 0.253072, Accuracy: 91.21\n",
      "Train Epoch: 35 [28160/50000 (62%)]\tLoss: 0.179887, Accuracy: 94.34\n",
      "Train Epoch: 35 [30720/50000 (68%)]\tLoss: 0.214424, Accuracy: 92.58\n",
      "Train Epoch: 35 [33280/50000 (74%)]\tLoss: 0.276779, Accuracy: 91.02\n",
      "Train Epoch: 35 [35840/50000 (80%)]\tLoss: 0.201532, Accuracy: 93.75\n",
      "Train Epoch: 35 [38400/50000 (85%)]\tLoss: 0.217586, Accuracy: 93.75\n",
      "Train Epoch: 35 [40960/50000 (91%)]\tLoss: 0.214214, Accuracy: 92.19\n",
      "Train Epoch: 35 [43520/50000 (97%)]\tLoss: 0.246689, Accuracy: 91.80\n",
      "\n",
      "Validation set: Average loss: 0.4994, Accuracy: 4226/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.02448844909668 s]\n",
      "Train Epoch: 36 [0/50000 (0%)]\tLoss: 0.226430, Accuracy: 92.38\n",
      "Train Epoch: 36 [2560/50000 (6%)]\tLoss: 0.247669, Accuracy: 91.80\n",
      "Train Epoch: 36 [5120/50000 (11%)]\tLoss: 0.207872, Accuracy: 91.80\n",
      "Train Epoch: 36 [7680/50000 (17%)]\tLoss: 0.208264, Accuracy: 91.80\n",
      "Train Epoch: 36 [10240/50000 (23%)]\tLoss: 0.215042, Accuracy: 92.58\n",
      "Train Epoch: 36 [12800/50000 (28%)]\tLoss: 0.201714, Accuracy: 93.75\n",
      "Train Epoch: 36 [15360/50000 (34%)]\tLoss: 0.217786, Accuracy: 92.58\n",
      "Train Epoch: 36 [17920/50000 (40%)]\tLoss: 0.211285, Accuracy: 92.58\n",
      "Train Epoch: 36 [20480/50000 (45%)]\tLoss: 0.247197, Accuracy: 89.26\n",
      "Train Epoch: 36 [23040/50000 (51%)]\tLoss: 0.175097, Accuracy: 93.75\n",
      "Train Epoch: 36 [25600/50000 (57%)]\tLoss: 0.216225, Accuracy: 92.58\n",
      "Train Epoch: 36 [28160/50000 (62%)]\tLoss: 0.221074, Accuracy: 90.62\n",
      "Train Epoch: 36 [30720/50000 (68%)]\tLoss: 0.219778, Accuracy: 92.97\n",
      "Train Epoch: 36 [33280/50000 (74%)]\tLoss: 0.182656, Accuracy: 93.36\n",
      "Train Epoch: 36 [35840/50000 (80%)]\tLoss: 0.270183, Accuracy: 91.21\n",
      "Train Epoch: 36 [38400/50000 (85%)]\tLoss: 0.216159, Accuracy: 91.21\n",
      "Train Epoch: 36 [40960/50000 (91%)]\tLoss: 0.231101, Accuracy: 92.58\n",
      "Train Epoch: 36 [43520/50000 (97%)]\tLoss: 0.270840, Accuracy: 90.23\n",
      "\n",
      "Validation set: Average loss: 0.5066, Accuracy: 4225/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.99213147163391 s]\n",
      "Train Epoch: 37 [0/50000 (0%)]\tLoss: 0.184014, Accuracy: 93.95\n",
      "Train Epoch: 37 [2560/50000 (6%)]\tLoss: 0.185047, Accuracy: 92.77\n",
      "Train Epoch: 37 [5120/50000 (11%)]\tLoss: 0.215456, Accuracy: 92.58\n",
      "Train Epoch: 37 [7680/50000 (17%)]\tLoss: 0.194652, Accuracy: 91.99\n",
      "Train Epoch: 37 [10240/50000 (23%)]\tLoss: 0.195986, Accuracy: 92.58\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 37 [12800/50000 (28%)]\tLoss: 0.239778, Accuracy: 91.41\n",
      "Train Epoch: 37 [15360/50000 (34%)]\tLoss: 0.169603, Accuracy: 94.53\n",
      "Train Epoch: 37 [17920/50000 (40%)]\tLoss: 0.287709, Accuracy: 90.82\n",
      "Train Epoch: 37 [20480/50000 (45%)]\tLoss: 0.200264, Accuracy: 91.80\n",
      "Train Epoch: 37 [23040/50000 (51%)]\tLoss: 0.231583, Accuracy: 92.19\n",
      "Train Epoch: 37 [25600/50000 (57%)]\tLoss: 0.278856, Accuracy: 89.26\n",
      "Train Epoch: 37 [28160/50000 (62%)]\tLoss: 0.183707, Accuracy: 94.14\n",
      "Train Epoch: 37 [30720/50000 (68%)]\tLoss: 0.230405, Accuracy: 90.82\n",
      "Train Epoch: 37 [33280/50000 (74%)]\tLoss: 0.235627, Accuracy: 91.80\n",
      "Train Epoch: 37 [35840/50000 (80%)]\tLoss: 0.231441, Accuracy: 91.80\n",
      "Train Epoch: 37 [38400/50000 (85%)]\tLoss: 0.241863, Accuracy: 92.77\n",
      "Train Epoch: 37 [40960/50000 (91%)]\tLoss: 0.211349, Accuracy: 93.16\n",
      "Train Epoch: 37 [43520/50000 (97%)]\tLoss: 0.197840, Accuracy: 93.55\n",
      "\n",
      "Validation set: Average loss: 0.5817, Accuracy: 4113/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[32.018324851989746 s]\n",
      "Train Epoch: 38 [0/50000 (0%)]\tLoss: 0.201005, Accuracy: 92.77\n",
      "Train Epoch: 38 [2560/50000 (6%)]\tLoss: 0.203809, Accuracy: 92.58\n",
      "Train Epoch: 38 [5120/50000 (11%)]\tLoss: 0.218239, Accuracy: 93.16\n",
      "Train Epoch: 38 [7680/50000 (17%)]\tLoss: 0.181642, Accuracy: 93.75\n",
      "Train Epoch: 38 [10240/50000 (23%)]\tLoss: 0.233478, Accuracy: 92.58\n",
      "Train Epoch: 38 [12800/50000 (28%)]\tLoss: 0.227021, Accuracy: 92.19\n",
      "Train Epoch: 38 [15360/50000 (34%)]\tLoss: 0.276627, Accuracy: 91.21\n",
      "Train Epoch: 38 [17920/50000 (40%)]\tLoss: 0.198867, Accuracy: 93.16\n",
      "Train Epoch: 38 [20480/50000 (45%)]\tLoss: 0.238205, Accuracy: 91.60\n",
      "Train Epoch: 38 [23040/50000 (51%)]\tLoss: 0.237159, Accuracy: 91.80\n",
      "Train Epoch: 38 [25600/50000 (57%)]\tLoss: 0.233012, Accuracy: 91.60\n",
      "Train Epoch: 38 [28160/50000 (62%)]\tLoss: 0.285859, Accuracy: 89.65\n",
      "Train Epoch: 38 [30720/50000 (68%)]\tLoss: 0.273227, Accuracy: 91.80\n",
      "Train Epoch: 38 [33280/50000 (74%)]\tLoss: 0.217192, Accuracy: 92.19\n",
      "Train Epoch: 38 [35840/50000 (80%)]\tLoss: 0.188005, Accuracy: 93.36\n",
      "Train Epoch: 38 [38400/50000 (85%)]\tLoss: 0.196656, Accuracy: 93.16\n",
      "Train Epoch: 38 [40960/50000 (91%)]\tLoss: 0.245336, Accuracy: 91.41\n",
      "Train Epoch: 38 [43520/50000 (97%)]\tLoss: 0.254364, Accuracy: 90.62\n",
      "\n",
      "Validation set: Average loss: 0.7520, Accuracy: 3883/5000 (77.00%)\n",
      "\n",
      "the time of this epoch:[32.07445454597473 s]\n",
      "Train Epoch: 39 [0/50000 (0%)]\tLoss: 0.218613, Accuracy: 92.97\n",
      "Train Epoch: 39 [2560/50000 (6%)]\tLoss: 0.179229, Accuracy: 95.31\n",
      "Train Epoch: 39 [5120/50000 (11%)]\tLoss: 0.169151, Accuracy: 94.34\n",
      "Train Epoch: 39 [7680/50000 (17%)]\tLoss: 0.173670, Accuracy: 93.55\n",
      "Train Epoch: 39 [10240/50000 (23%)]\tLoss: 0.205771, Accuracy: 92.77\n",
      "Train Epoch: 39 [12800/50000 (28%)]\tLoss: 0.227127, Accuracy: 93.55\n",
      "Train Epoch: 39 [15360/50000 (34%)]\tLoss: 0.176272, Accuracy: 94.34\n",
      "Train Epoch: 39 [17920/50000 (40%)]\tLoss: 0.169793, Accuracy: 93.75\n",
      "Train Epoch: 39 [20480/50000 (45%)]\tLoss: 0.282902, Accuracy: 90.82\n",
      "Train Epoch: 39 [23040/50000 (51%)]\tLoss: 0.211989, Accuracy: 91.80\n",
      "Train Epoch: 39 [25600/50000 (57%)]\tLoss: 0.211350, Accuracy: 92.97\n",
      "Train Epoch: 39 [28160/50000 (62%)]\tLoss: 0.250642, Accuracy: 91.80\n",
      "Train Epoch: 39 [30720/50000 (68%)]\tLoss: 0.233445, Accuracy: 91.80\n",
      "Train Epoch: 39 [33280/50000 (74%)]\tLoss: 0.233755, Accuracy: 91.99\n",
      "Train Epoch: 39 [35840/50000 (80%)]\tLoss: 0.248534, Accuracy: 91.80\n",
      "Train Epoch: 39 [38400/50000 (85%)]\tLoss: 0.206921, Accuracy: 93.36\n",
      "Train Epoch: 39 [40960/50000 (91%)]\tLoss: 0.229083, Accuracy: 91.41\n",
      "Train Epoch: 39 [43520/50000 (97%)]\tLoss: 0.274476, Accuracy: 90.62\n",
      "\n",
      "Validation set: Average loss: 0.5925, Accuracy: 4096/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[32.03531742095947 s]\n",
      "Train Epoch: 40 [0/50000 (0%)]\tLoss: 0.268399, Accuracy: 90.62\n",
      "Train Epoch: 40 [2560/50000 (6%)]\tLoss: 0.185317, Accuracy: 94.34\n",
      "Train Epoch: 40 [5120/50000 (11%)]\tLoss: 0.183270, Accuracy: 92.97\n",
      "Train Epoch: 40 [7680/50000 (17%)]\tLoss: 0.192255, Accuracy: 93.16\n",
      "Train Epoch: 40 [10240/50000 (23%)]\tLoss: 0.217487, Accuracy: 93.16\n",
      "Train Epoch: 40 [12800/50000 (28%)]\tLoss: 0.184380, Accuracy: 93.36\n",
      "Train Epoch: 40 [15360/50000 (34%)]\tLoss: 0.216143, Accuracy: 91.60\n",
      "Train Epoch: 40 [17920/50000 (40%)]\tLoss: 0.177399, Accuracy: 93.95\n",
      "Train Epoch: 40 [20480/50000 (45%)]\tLoss: 0.213002, Accuracy: 91.99\n",
      "Train Epoch: 40 [23040/50000 (51%)]\tLoss: 0.160158, Accuracy: 94.53\n",
      "Train Epoch: 40 [25600/50000 (57%)]\tLoss: 0.248075, Accuracy: 91.60\n",
      "Train Epoch: 40 [28160/50000 (62%)]\tLoss: 0.188998, Accuracy: 93.75\n",
      "Train Epoch: 40 [30720/50000 (68%)]\tLoss: 0.210941, Accuracy: 92.19\n",
      "Train Epoch: 40 [33280/50000 (74%)]\tLoss: 0.282256, Accuracy: 90.62\n",
      "Train Epoch: 40 [35840/50000 (80%)]\tLoss: 0.193956, Accuracy: 93.95\n",
      "Train Epoch: 40 [38400/50000 (85%)]\tLoss: 0.228710, Accuracy: 91.99\n",
      "Train Epoch: 40 [40960/50000 (91%)]\tLoss: 0.225925, Accuracy: 93.16\n",
      "Train Epoch: 40 [43520/50000 (97%)]\tLoss: 0.282241, Accuracy: 90.82\n",
      "\n",
      "Validation set: Average loss: 0.5343, Accuracy: 4196/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[32.00678563117981 s]\n",
      "\n",
      "Test set: Average loss: 0.5743, Accuracy: 8301/10000 (83.01%)\n",
      "\n",
      "Train Epoch: 41 [0/50000 (0%)]\tLoss: 0.225668, Accuracy: 92.19\n",
      "Train Epoch: 41 [2560/50000 (6%)]\tLoss: 0.211290, Accuracy: 91.41\n",
      "Train Epoch: 41 [5120/50000 (11%)]\tLoss: 0.220163, Accuracy: 92.38\n",
      "Train Epoch: 41 [7680/50000 (17%)]\tLoss: 0.241878, Accuracy: 92.38\n",
      "Train Epoch: 41 [10240/50000 (23%)]\tLoss: 0.262134, Accuracy: 90.62\n",
      "Train Epoch: 41 [12800/50000 (28%)]\tLoss: 0.204949, Accuracy: 93.16\n",
      "Train Epoch: 41 [15360/50000 (34%)]\tLoss: 0.224450, Accuracy: 91.80\n",
      "Train Epoch: 41 [17920/50000 (40%)]\tLoss: 0.235342, Accuracy: 90.82\n",
      "Train Epoch: 41 [20480/50000 (45%)]\tLoss: 0.250705, Accuracy: 91.80\n",
      "Train Epoch: 41 [23040/50000 (51%)]\tLoss: 0.200616, Accuracy: 92.97\n",
      "Train Epoch: 41 [25600/50000 (57%)]\tLoss: 0.172184, Accuracy: 93.36\n",
      "Train Epoch: 41 [28160/50000 (62%)]\tLoss: 0.222076, Accuracy: 93.75\n",
      "Train Epoch: 41 [30720/50000 (68%)]\tLoss: 0.183859, Accuracy: 93.55\n",
      "Train Epoch: 41 [33280/50000 (74%)]\tLoss: 0.186682, Accuracy: 94.92\n",
      "Train Epoch: 41 [35840/50000 (80%)]\tLoss: 0.229611, Accuracy: 92.38\n",
      "Train Epoch: 41 [38400/50000 (85%)]\tLoss: 0.242588, Accuracy: 91.99\n",
      "Train Epoch: 41 [40960/50000 (91%)]\tLoss: 0.211892, Accuracy: 93.16\n",
      "Train Epoch: 41 [43520/50000 (97%)]\tLoss: 0.227944, Accuracy: 91.80\n",
      "\n",
      "Validation set: Average loss: 0.5315, Accuracy: 4199/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[34.84643793106079 s]\n",
      "Train Epoch: 42 [0/50000 (0%)]\tLoss: 0.186005, Accuracy: 94.53\n",
      "Train Epoch: 42 [2560/50000 (6%)]\tLoss: 0.227482, Accuracy: 93.16\n",
      "Train Epoch: 42 [5120/50000 (11%)]\tLoss: 0.257565, Accuracy: 91.02\n",
      "Train Epoch: 42 [7680/50000 (17%)]\tLoss: 0.190671, Accuracy: 93.16\n",
      "Train Epoch: 42 [10240/50000 (23%)]\tLoss: 0.174094, Accuracy: 93.95\n",
      "Train Epoch: 42 [12800/50000 (28%)]\tLoss: 0.250997, Accuracy: 91.41\n",
      "Train Epoch: 42 [15360/50000 (34%)]\tLoss: 0.171378, Accuracy: 94.73\n",
      "Train Epoch: 42 [17920/50000 (40%)]\tLoss: 0.200328, Accuracy: 92.97\n",
      "Train Epoch: 42 [20480/50000 (45%)]\tLoss: 0.212544, Accuracy: 92.19\n",
      "Train Epoch: 42 [23040/50000 (51%)]\tLoss: 0.184401, Accuracy: 92.77\n",
      "Train Epoch: 42 [25600/50000 (57%)]\tLoss: 0.204605, Accuracy: 93.75\n",
      "Train Epoch: 42 [28160/50000 (62%)]\tLoss: 0.236541, Accuracy: 92.58\n",
      "Train Epoch: 42 [30720/50000 (68%)]\tLoss: 0.241036, Accuracy: 91.60\n",
      "Train Epoch: 42 [33280/50000 (74%)]\tLoss: 0.199285, Accuracy: 92.97\n",
      "Train Epoch: 42 [35840/50000 (80%)]\tLoss: 0.207478, Accuracy: 92.19\n",
      "Train Epoch: 42 [38400/50000 (85%)]\tLoss: 0.222030, Accuracy: 92.97\n",
      "Train Epoch: 42 [40960/50000 (91%)]\tLoss: 0.219450, Accuracy: 93.95\n",
      "Train Epoch: 42 [43520/50000 (97%)]\tLoss: 0.205276, Accuracy: 93.36\n",
      "\n",
      "Validation set: Average loss: 0.6040, Accuracy: 4092/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[31.950865268707275 s]\n",
      "Train Epoch: 43 [0/50000 (0%)]\tLoss: 0.191342, Accuracy: 91.99\n",
      "Train Epoch: 43 [2560/50000 (6%)]\tLoss: 0.199583, Accuracy: 92.77\n",
      "Train Epoch: 43 [5120/50000 (11%)]\tLoss: 0.178277, Accuracy: 93.75\n",
      "Train Epoch: 43 [7680/50000 (17%)]\tLoss: 0.142943, Accuracy: 94.73\n",
      "Train Epoch: 43 [10240/50000 (23%)]\tLoss: 0.203118, Accuracy: 92.19\n",
      "Train Epoch: 43 [12800/50000 (28%)]\tLoss: 0.200682, Accuracy: 92.77\n",
      "Train Epoch: 43 [15360/50000 (34%)]\tLoss: 0.251043, Accuracy: 91.21\n",
      "Train Epoch: 43 [17920/50000 (40%)]\tLoss: 0.242628, Accuracy: 91.99\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 43 [20480/50000 (45%)]\tLoss: 0.232957, Accuracy: 91.41\n",
      "Train Epoch: 43 [23040/50000 (51%)]\tLoss: 0.198903, Accuracy: 93.36\n",
      "Train Epoch: 43 [25600/50000 (57%)]\tLoss: 0.208145, Accuracy: 93.55\n",
      "Train Epoch: 43 [28160/50000 (62%)]\tLoss: 0.259775, Accuracy: 90.82\n",
      "Train Epoch: 43 [30720/50000 (68%)]\tLoss: 0.230766, Accuracy: 92.58\n",
      "Train Epoch: 43 [33280/50000 (74%)]\tLoss: 0.255061, Accuracy: 90.43\n",
      "Train Epoch: 43 [35840/50000 (80%)]\tLoss: 0.242347, Accuracy: 92.58\n",
      "Train Epoch: 43 [38400/50000 (85%)]\tLoss: 0.211374, Accuracy: 92.77\n",
      "Train Epoch: 43 [40960/50000 (91%)]\tLoss: 0.230169, Accuracy: 91.80\n",
      "Train Epoch: 43 [43520/50000 (97%)]\tLoss: 0.210884, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.5472, Accuracy: 4157/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.958235025405884 s]\n",
      "Train Epoch: 44 [0/50000 (0%)]\tLoss: 0.190443, Accuracy: 93.55\n",
      "Train Epoch: 44 [2560/50000 (6%)]\tLoss: 0.149888, Accuracy: 95.70\n",
      "Train Epoch: 44 [5120/50000 (11%)]\tLoss: 0.179842, Accuracy: 93.36\n",
      "Train Epoch: 44 [7680/50000 (17%)]\tLoss: 0.205433, Accuracy: 92.77\n",
      "Train Epoch: 44 [10240/50000 (23%)]\tLoss: 0.150424, Accuracy: 95.51\n",
      "Train Epoch: 44 [12800/50000 (28%)]\tLoss: 0.178333, Accuracy: 93.36\n",
      "Train Epoch: 44 [15360/50000 (34%)]\tLoss: 0.217758, Accuracy: 92.97\n",
      "Train Epoch: 44 [17920/50000 (40%)]\tLoss: 0.203086, Accuracy: 92.38\n",
      "Train Epoch: 44 [20480/50000 (45%)]\tLoss: 0.232412, Accuracy: 91.21\n",
      "Train Epoch: 44 [23040/50000 (51%)]\tLoss: 0.187663, Accuracy: 93.36\n",
      "Train Epoch: 44 [25600/50000 (57%)]\tLoss: 0.258576, Accuracy: 91.02\n",
      "Train Epoch: 44 [28160/50000 (62%)]\tLoss: 0.263403, Accuracy: 90.82\n",
      "Train Epoch: 44 [30720/50000 (68%)]\tLoss: 0.229204, Accuracy: 91.99\n",
      "Train Epoch: 44 [33280/50000 (74%)]\tLoss: 0.284290, Accuracy: 90.23\n",
      "Train Epoch: 44 [35840/50000 (80%)]\tLoss: 0.238920, Accuracy: 91.99\n",
      "Train Epoch: 44 [38400/50000 (85%)]\tLoss: 0.276906, Accuracy: 88.67\n",
      "Train Epoch: 44 [40960/50000 (91%)]\tLoss: 0.264513, Accuracy: 91.41\n",
      "Train Epoch: 44 [43520/50000 (97%)]\tLoss: 0.211693, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.4968, Accuracy: 4200/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.95352792739868 s]\n",
      "Train Epoch: 45 [0/50000 (0%)]\tLoss: 0.231301, Accuracy: 90.62\n",
      "Train Epoch: 45 [2560/50000 (6%)]\tLoss: 0.226118, Accuracy: 92.58\n",
      "Train Epoch: 45 [5120/50000 (11%)]\tLoss: 0.198590, Accuracy: 92.97\n",
      "Train Epoch: 45 [7680/50000 (17%)]\tLoss: 0.227057, Accuracy: 91.60\n",
      "Train Epoch: 45 [10240/50000 (23%)]\tLoss: 0.185215, Accuracy: 93.55\n",
      "Train Epoch: 45 [12800/50000 (28%)]\tLoss: 0.259782, Accuracy: 89.65\n",
      "Train Epoch: 45 [15360/50000 (34%)]\tLoss: 0.208435, Accuracy: 92.77\n",
      "Train Epoch: 45 [17920/50000 (40%)]\tLoss: 0.168757, Accuracy: 93.75\n",
      "Train Epoch: 45 [20480/50000 (45%)]\tLoss: 0.180178, Accuracy: 93.75\n",
      "Train Epoch: 45 [23040/50000 (51%)]\tLoss: 0.195394, Accuracy: 94.14\n",
      "Train Epoch: 45 [25600/50000 (57%)]\tLoss: 0.195071, Accuracy: 92.19\n",
      "Train Epoch: 45 [28160/50000 (62%)]\tLoss: 0.254215, Accuracy: 90.62\n",
      "Train Epoch: 45 [30720/50000 (68%)]\tLoss: 0.176790, Accuracy: 92.97\n",
      "Train Epoch: 45 [33280/50000 (74%)]\tLoss: 0.162224, Accuracy: 94.14\n",
      "Train Epoch: 45 [35840/50000 (80%)]\tLoss: 0.191065, Accuracy: 92.19\n",
      "Train Epoch: 45 [38400/50000 (85%)]\tLoss: 0.238473, Accuracy: 91.02\n",
      "Train Epoch: 45 [40960/50000 (91%)]\tLoss: 0.270652, Accuracy: 92.38\n",
      "Train Epoch: 45 [43520/50000 (97%)]\tLoss: 0.191683, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.5180, Accuracy: 4199/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.93472719192505 s]\n",
      "Train Epoch: 46 [0/50000 (0%)]\tLoss: 0.227252, Accuracy: 92.38\n",
      "Train Epoch: 46 [2560/50000 (6%)]\tLoss: 0.192528, Accuracy: 93.55\n",
      "Train Epoch: 46 [5120/50000 (11%)]\tLoss: 0.257012, Accuracy: 91.41\n",
      "Train Epoch: 46 [7680/50000 (17%)]\tLoss: 0.199916, Accuracy: 93.75\n",
      "Train Epoch: 46 [10240/50000 (23%)]\tLoss: 0.195383, Accuracy: 93.55\n",
      "Train Epoch: 46 [12800/50000 (28%)]\tLoss: 0.190296, Accuracy: 94.53\n",
      "Train Epoch: 46 [15360/50000 (34%)]\tLoss: 0.202537, Accuracy: 93.36\n",
      "Train Epoch: 46 [17920/50000 (40%)]\tLoss: 0.169948, Accuracy: 94.14\n",
      "Train Epoch: 46 [20480/50000 (45%)]\tLoss: 0.163179, Accuracy: 93.95\n",
      "Train Epoch: 46 [23040/50000 (51%)]\tLoss: 0.176437, Accuracy: 94.53\n",
      "Train Epoch: 46 [25600/50000 (57%)]\tLoss: 0.220908, Accuracy: 93.16\n",
      "Train Epoch: 46 [28160/50000 (62%)]\tLoss: 0.199898, Accuracy: 93.55\n",
      "Train Epoch: 46 [30720/50000 (68%)]\tLoss: 0.168676, Accuracy: 93.75\n",
      "Train Epoch: 46 [33280/50000 (74%)]\tLoss: 0.195825, Accuracy: 93.55\n",
      "Train Epoch: 46 [35840/50000 (80%)]\tLoss: 0.218429, Accuracy: 91.99\n",
      "Train Epoch: 46 [38400/50000 (85%)]\tLoss: 0.276821, Accuracy: 91.60\n",
      "Train Epoch: 46 [40960/50000 (91%)]\tLoss: 0.238760, Accuracy: 91.99\n",
      "Train Epoch: 46 [43520/50000 (97%)]\tLoss: 0.215933, Accuracy: 92.19\n",
      "\n",
      "Validation set: Average loss: 0.5778, Accuracy: 4121/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[31.999547481536865 s]\n",
      "Train Epoch: 47 [0/50000 (0%)]\tLoss: 0.157150, Accuracy: 95.31\n",
      "Train Epoch: 47 [2560/50000 (6%)]\tLoss: 0.156295, Accuracy: 94.34\n",
      "Train Epoch: 47 [5120/50000 (11%)]\tLoss: 0.212602, Accuracy: 92.97\n",
      "Train Epoch: 47 [7680/50000 (17%)]\tLoss: 0.170366, Accuracy: 95.12\n",
      "Train Epoch: 47 [10240/50000 (23%)]\tLoss: 0.239052, Accuracy: 91.02\n",
      "Train Epoch: 47 [12800/50000 (28%)]\tLoss: 0.202823, Accuracy: 92.97\n",
      "Train Epoch: 47 [15360/50000 (34%)]\tLoss: 0.212625, Accuracy: 92.97\n",
      "Train Epoch: 47 [17920/50000 (40%)]\tLoss: 0.181425, Accuracy: 93.95\n",
      "Train Epoch: 47 [20480/50000 (45%)]\tLoss: 0.194121, Accuracy: 92.58\n",
      "Train Epoch: 47 [23040/50000 (51%)]\tLoss: 0.206951, Accuracy: 92.38\n",
      "Train Epoch: 47 [25600/50000 (57%)]\tLoss: 0.266588, Accuracy: 90.43\n",
      "Train Epoch: 47 [28160/50000 (62%)]\tLoss: 0.227355, Accuracy: 92.58\n",
      "Train Epoch: 47 [30720/50000 (68%)]\tLoss: 0.186925, Accuracy: 93.16\n",
      "Train Epoch: 47 [33280/50000 (74%)]\tLoss: 0.170113, Accuracy: 93.95\n",
      "Train Epoch: 47 [35840/50000 (80%)]\tLoss: 0.230396, Accuracy: 92.77\n",
      "Train Epoch: 47 [38400/50000 (85%)]\tLoss: 0.245052, Accuracy: 91.41\n",
      "Train Epoch: 47 [40960/50000 (91%)]\tLoss: 0.197581, Accuracy: 93.16\n",
      "Train Epoch: 47 [43520/50000 (97%)]\tLoss: 0.215976, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.6994, Accuracy: 3957/5000 (79.00%)\n",
      "\n",
      "the time of this epoch:[31.984408140182495 s]\n",
      "Train Epoch: 48 [0/50000 (0%)]\tLoss: 0.253085, Accuracy: 90.04\n",
      "Train Epoch: 48 [2560/50000 (6%)]\tLoss: 0.207501, Accuracy: 91.60\n",
      "Train Epoch: 48 [5120/50000 (11%)]\tLoss: 0.181921, Accuracy: 93.75\n",
      "Train Epoch: 48 [7680/50000 (17%)]\tLoss: 0.197979, Accuracy: 92.97\n",
      "Train Epoch: 48 [10240/50000 (23%)]\tLoss: 0.229553, Accuracy: 91.99\n",
      "Train Epoch: 48 [12800/50000 (28%)]\tLoss: 0.215994, Accuracy: 92.58\n",
      "Train Epoch: 48 [15360/50000 (34%)]\tLoss: 0.210365, Accuracy: 91.80\n",
      "Train Epoch: 48 [17920/50000 (40%)]\tLoss: 0.252244, Accuracy: 91.99\n",
      "Train Epoch: 48 [20480/50000 (45%)]\tLoss: 0.171585, Accuracy: 93.95\n",
      "Train Epoch: 48 [23040/50000 (51%)]\tLoss: 0.207863, Accuracy: 92.58\n",
      "Train Epoch: 48 [25600/50000 (57%)]\tLoss: 0.222304, Accuracy: 93.75\n",
      "Train Epoch: 48 [28160/50000 (62%)]\tLoss: 0.183008, Accuracy: 93.95\n",
      "Train Epoch: 48 [30720/50000 (68%)]\tLoss: 0.196459, Accuracy: 93.75\n",
      "Train Epoch: 48 [33280/50000 (74%)]\tLoss: 0.192983, Accuracy: 94.34\n",
      "Train Epoch: 48 [35840/50000 (80%)]\tLoss: 0.282985, Accuracy: 90.82\n",
      "Train Epoch: 48 [38400/50000 (85%)]\tLoss: 0.214012, Accuracy: 92.38\n",
      "Train Epoch: 48 [40960/50000 (91%)]\tLoss: 0.206914, Accuracy: 92.38\n",
      "Train Epoch: 48 [43520/50000 (97%)]\tLoss: 0.223769, Accuracy: 91.41\n",
      "\n",
      "Validation set: Average loss: 0.7448, Accuracy: 3941/5000 (78.00%)\n",
      "\n",
      "the time of this epoch:[32.013813734054565 s]\n",
      "Train Epoch: 49 [0/50000 (0%)]\tLoss: 0.206881, Accuracy: 92.38\n",
      "Train Epoch: 49 [2560/50000 (6%)]\tLoss: 0.201141, Accuracy: 92.38\n",
      "Train Epoch: 49 [5120/50000 (11%)]\tLoss: 0.178723, Accuracy: 94.14\n",
      "Train Epoch: 49 [7680/50000 (17%)]\tLoss: 0.167255, Accuracy: 93.55\n",
      "Train Epoch: 49 [10240/50000 (23%)]\tLoss: 0.133361, Accuracy: 94.92\n",
      "Train Epoch: 49 [12800/50000 (28%)]\tLoss: 0.230768, Accuracy: 92.58\n",
      "Train Epoch: 49 [15360/50000 (34%)]\tLoss: 0.224236, Accuracy: 91.99\n",
      "Train Epoch: 49 [17920/50000 (40%)]\tLoss: 0.194158, Accuracy: 93.36\n",
      "Train Epoch: 49 [20480/50000 (45%)]\tLoss: 0.186034, Accuracy: 93.16\n",
      "Train Epoch: 49 [23040/50000 (51%)]\tLoss: 0.216426, Accuracy: 92.38\n",
      "Train Epoch: 49 [25600/50000 (57%)]\tLoss: 0.198920, Accuracy: 92.77\n",
      "Train Epoch: 49 [28160/50000 (62%)]\tLoss: 0.223486, Accuracy: 92.77\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 49 [30720/50000 (68%)]\tLoss: 0.220504, Accuracy: 93.16\n",
      "Train Epoch: 49 [33280/50000 (74%)]\tLoss: 0.159123, Accuracy: 93.36\n",
      "Train Epoch: 49 [35840/50000 (80%)]\tLoss: 0.248287, Accuracy: 92.77\n",
      "Train Epoch: 49 [38400/50000 (85%)]\tLoss: 0.242114, Accuracy: 90.62\n",
      "Train Epoch: 49 [40960/50000 (91%)]\tLoss: 0.172695, Accuracy: 94.14\n",
      "Train Epoch: 49 [43520/50000 (97%)]\tLoss: 0.226008, Accuracy: 91.99\n",
      "\n",
      "Validation set: Average loss: 0.4474, Accuracy: 4295/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.95478320121765 s]\n",
      "Train Epoch: 50 [0/50000 (0%)]\tLoss: 0.265774, Accuracy: 91.41\n",
      "Train Epoch: 50 [2560/50000 (6%)]\tLoss: 0.239483, Accuracy: 91.02\n",
      "Train Epoch: 50 [5120/50000 (11%)]\tLoss: 0.186216, Accuracy: 93.36\n",
      "Train Epoch: 50 [7680/50000 (17%)]\tLoss: 0.212157, Accuracy: 92.77\n",
      "Train Epoch: 50 [10240/50000 (23%)]\tLoss: 0.199982, Accuracy: 91.99\n",
      "Train Epoch: 50 [12800/50000 (28%)]\tLoss: 0.214986, Accuracy: 92.58\n",
      "Train Epoch: 50 [15360/50000 (34%)]\tLoss: 0.184771, Accuracy: 93.95\n",
      "Train Epoch: 50 [17920/50000 (40%)]\tLoss: 0.261926, Accuracy: 91.60\n",
      "Train Epoch: 50 [20480/50000 (45%)]\tLoss: 0.215824, Accuracy: 92.58\n",
      "Train Epoch: 50 [23040/50000 (51%)]\tLoss: 0.244184, Accuracy: 91.21\n",
      "Train Epoch: 50 [25600/50000 (57%)]\tLoss: 0.280274, Accuracy: 90.23\n",
      "Train Epoch: 50 [28160/50000 (62%)]\tLoss: 0.200034, Accuracy: 93.16\n",
      "Train Epoch: 50 [30720/50000 (68%)]\tLoss: 0.173067, Accuracy: 93.95\n",
      "Train Epoch: 50 [33280/50000 (74%)]\tLoss: 0.236966, Accuracy: 91.41\n",
      "Train Epoch: 50 [35840/50000 (80%)]\tLoss: 0.240143, Accuracy: 93.16\n",
      "Train Epoch: 50 [38400/50000 (85%)]\tLoss: 0.208058, Accuracy: 92.58\n",
      "Train Epoch: 50 [40960/50000 (91%)]\tLoss: 0.228629, Accuracy: 93.16\n",
      "Train Epoch: 50 [43520/50000 (97%)]\tLoss: 0.229522, Accuracy: 91.02\n",
      "\n",
      "Validation set: Average loss: 0.5036, Accuracy: 4219/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.966248273849487 s]\n",
      "\n",
      "Test set: Average loss: 0.5150, Accuracy: 8437/10000 (84.37%)\n",
      "\n",
      "Train Epoch: 51 [0/50000 (0%)]\tLoss: 0.145227, Accuracy: 95.51\n",
      "Train Epoch: 51 [2560/50000 (6%)]\tLoss: 0.207758, Accuracy: 93.55\n",
      "Train Epoch: 51 [5120/50000 (11%)]\tLoss: 0.200534, Accuracy: 93.55\n",
      "Train Epoch: 51 [7680/50000 (17%)]\tLoss: 0.212788, Accuracy: 91.41\n",
      "Train Epoch: 51 [10240/50000 (23%)]\tLoss: 0.197596, Accuracy: 93.36\n",
      "Train Epoch: 51 [12800/50000 (28%)]\tLoss: 0.184852, Accuracy: 93.75\n",
      "Train Epoch: 51 [15360/50000 (34%)]\tLoss: 0.230718, Accuracy: 90.82\n",
      "Train Epoch: 51 [17920/50000 (40%)]\tLoss: 0.209980, Accuracy: 92.58\n",
      "Train Epoch: 51 [20480/50000 (45%)]\tLoss: 0.202016, Accuracy: 92.58\n",
      "Train Epoch: 51 [23040/50000 (51%)]\tLoss: 0.185774, Accuracy: 94.14\n",
      "Train Epoch: 51 [25600/50000 (57%)]\tLoss: 0.215029, Accuracy: 91.99\n",
      "Train Epoch: 51 [28160/50000 (62%)]\tLoss: 0.204827, Accuracy: 91.99\n",
      "Train Epoch: 51 [30720/50000 (68%)]\tLoss: 0.225375, Accuracy: 92.38\n",
      "Train Epoch: 51 [33280/50000 (74%)]\tLoss: 0.295007, Accuracy: 91.21\n",
      "Train Epoch: 51 [35840/50000 (80%)]\tLoss: 0.189217, Accuracy: 94.34\n",
      "Train Epoch: 51 [38400/50000 (85%)]\tLoss: 0.230654, Accuracy: 92.77\n",
      "Train Epoch: 51 [40960/50000 (91%)]\tLoss: 0.186687, Accuracy: 93.95\n",
      "Train Epoch: 51 [43520/50000 (97%)]\tLoss: 0.184807, Accuracy: 93.95\n",
      "\n",
      "Validation set: Average loss: 0.5055, Accuracy: 4244/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[34.78164792060852 s]\n",
      "Train Epoch: 52 [0/50000 (0%)]\tLoss: 0.253394, Accuracy: 91.21\n",
      "Train Epoch: 52 [2560/50000 (6%)]\tLoss: 0.163964, Accuracy: 94.34\n",
      "Train Epoch: 52 [5120/50000 (11%)]\tLoss: 0.138854, Accuracy: 95.70\n",
      "Train Epoch: 52 [7680/50000 (17%)]\tLoss: 0.214730, Accuracy: 93.16\n",
      "Train Epoch: 52 [10240/50000 (23%)]\tLoss: 0.173403, Accuracy: 93.75\n",
      "Train Epoch: 52 [12800/50000 (28%)]\tLoss: 0.156584, Accuracy: 95.70\n",
      "Train Epoch: 52 [15360/50000 (34%)]\tLoss: 0.172297, Accuracy: 93.55\n",
      "Train Epoch: 52 [17920/50000 (40%)]\tLoss: 0.183293, Accuracy: 92.77\n",
      "Train Epoch: 52 [20480/50000 (45%)]\tLoss: 0.111942, Accuracy: 96.29\n",
      "Train Epoch: 52 [23040/50000 (51%)]\tLoss: 0.199978, Accuracy: 93.55\n",
      "Train Epoch: 52 [25600/50000 (57%)]\tLoss: 0.171811, Accuracy: 93.36\n",
      "Train Epoch: 52 [28160/50000 (62%)]\tLoss: 0.236914, Accuracy: 91.80\n",
      "Train Epoch: 52 [30720/50000 (68%)]\tLoss: 0.219286, Accuracy: 91.80\n",
      "Train Epoch: 52 [33280/50000 (74%)]\tLoss: 0.170407, Accuracy: 94.53\n",
      "Train Epoch: 52 [35840/50000 (80%)]\tLoss: 0.185429, Accuracy: 93.16\n",
      "Train Epoch: 52 [38400/50000 (85%)]\tLoss: 0.210191, Accuracy: 92.38\n",
      "Train Epoch: 52 [40960/50000 (91%)]\tLoss: 0.232834, Accuracy: 91.99\n",
      "Train Epoch: 52 [43520/50000 (97%)]\tLoss: 0.176313, Accuracy: 93.95\n",
      "\n",
      "Validation set: Average loss: 0.4377, Accuracy: 4324/5000 (86.00%)\n",
      "\n",
      "the time of this epoch:[31.922563076019287 s]\n",
      "Train Epoch: 53 [0/50000 (0%)]\tLoss: 0.198405, Accuracy: 93.55\n",
      "Train Epoch: 53 [2560/50000 (6%)]\tLoss: 0.243814, Accuracy: 91.60\n",
      "Train Epoch: 53 [5120/50000 (11%)]\tLoss: 0.229893, Accuracy: 91.60\n",
      "Train Epoch: 53 [7680/50000 (17%)]\tLoss: 0.160194, Accuracy: 93.75\n",
      "Train Epoch: 53 [10240/50000 (23%)]\tLoss: 0.168330, Accuracy: 93.36\n",
      "Train Epoch: 53 [12800/50000 (28%)]\tLoss: 0.200414, Accuracy: 91.80\n",
      "Train Epoch: 53 [15360/50000 (34%)]\tLoss: 0.171267, Accuracy: 93.75\n",
      "Train Epoch: 53 [17920/50000 (40%)]\tLoss: 0.209522, Accuracy: 91.80\n",
      "Train Epoch: 53 [20480/50000 (45%)]\tLoss: 0.202754, Accuracy: 92.97\n",
      "Train Epoch: 53 [23040/50000 (51%)]\tLoss: 0.234767, Accuracy: 91.99\n",
      "Train Epoch: 53 [25600/50000 (57%)]\tLoss: 0.174626, Accuracy: 94.14\n",
      "Train Epoch: 53 [28160/50000 (62%)]\tLoss: 0.196398, Accuracy: 94.14\n",
      "Train Epoch: 53 [30720/50000 (68%)]\tLoss: 0.238398, Accuracy: 92.58\n",
      "Train Epoch: 53 [33280/50000 (74%)]\tLoss: 0.184753, Accuracy: 93.55\n",
      "Train Epoch: 53 [35840/50000 (80%)]\tLoss: 0.216163, Accuracy: 91.80\n",
      "Train Epoch: 53 [38400/50000 (85%)]\tLoss: 0.185372, Accuracy: 93.55\n",
      "Train Epoch: 53 [40960/50000 (91%)]\tLoss: 0.299910, Accuracy: 90.43\n",
      "Train Epoch: 53 [43520/50000 (97%)]\tLoss: 0.249505, Accuracy: 91.21\n",
      "\n",
      "Validation set: Average loss: 0.6292, Accuracy: 4068/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[31.76460337638855 s]\n",
      "Train Epoch: 54 [0/50000 (0%)]\tLoss: 0.196075, Accuracy: 93.55\n",
      "Train Epoch: 54 [2560/50000 (6%)]\tLoss: 0.266579, Accuracy: 89.84\n",
      "Train Epoch: 54 [5120/50000 (11%)]\tLoss: 0.168860, Accuracy: 93.95\n",
      "Train Epoch: 54 [7680/50000 (17%)]\tLoss: 0.220687, Accuracy: 92.19\n",
      "Train Epoch: 54 [10240/50000 (23%)]\tLoss: 0.152400, Accuracy: 94.92\n",
      "Train Epoch: 54 [12800/50000 (28%)]\tLoss: 0.173729, Accuracy: 94.92\n",
      "Train Epoch: 54 [15360/50000 (34%)]\tLoss: 0.232134, Accuracy: 91.02\n",
      "Train Epoch: 54 [17920/50000 (40%)]\tLoss: 0.204274, Accuracy: 92.97\n",
      "Train Epoch: 54 [20480/50000 (45%)]\tLoss: 0.194259, Accuracy: 93.16\n",
      "Train Epoch: 54 [23040/50000 (51%)]\tLoss: 0.232307, Accuracy: 91.21\n",
      "Train Epoch: 54 [25600/50000 (57%)]\tLoss: 0.208812, Accuracy: 91.41\n",
      "Train Epoch: 54 [28160/50000 (62%)]\tLoss: 0.182565, Accuracy: 94.34\n",
      "Train Epoch: 54 [30720/50000 (68%)]\tLoss: 0.228308, Accuracy: 92.97\n",
      "Train Epoch: 54 [33280/50000 (74%)]\tLoss: 0.189762, Accuracy: 93.36\n",
      "Train Epoch: 54 [35840/50000 (80%)]\tLoss: 0.219688, Accuracy: 93.55\n",
      "Train Epoch: 54 [38400/50000 (85%)]\tLoss: 0.176629, Accuracy: 93.95\n",
      "Train Epoch: 54 [40960/50000 (91%)]\tLoss: 0.240440, Accuracy: 91.41\n",
      "Train Epoch: 54 [43520/50000 (97%)]\tLoss: 0.198383, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.5160, Accuracy: 4230/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.96751070022583 s]\n",
      "Train Epoch: 55 [0/50000 (0%)]\tLoss: 0.201336, Accuracy: 93.95\n",
      "Train Epoch: 55 [2560/50000 (6%)]\tLoss: 0.167238, Accuracy: 92.97\n",
      "Train Epoch: 55 [5120/50000 (11%)]\tLoss: 0.165445, Accuracy: 95.31\n",
      "Train Epoch: 55 [7680/50000 (17%)]\tLoss: 0.170177, Accuracy: 94.34\n",
      "Train Epoch: 55 [10240/50000 (23%)]\tLoss: 0.190958, Accuracy: 92.97\n",
      "Train Epoch: 55 [12800/50000 (28%)]\tLoss: 0.235258, Accuracy: 91.99\n",
      "Train Epoch: 55 [15360/50000 (34%)]\tLoss: 0.170734, Accuracy: 93.55\n",
      "Train Epoch: 55 [17920/50000 (40%)]\tLoss: 0.161447, Accuracy: 94.34\n",
      "Train Epoch: 55 [20480/50000 (45%)]\tLoss: 0.208679, Accuracy: 91.80\n",
      "Train Epoch: 55 [23040/50000 (51%)]\tLoss: 0.200234, Accuracy: 94.73\n",
      "Train Epoch: 55 [25600/50000 (57%)]\tLoss: 0.214805, Accuracy: 92.38\n",
      "Train Epoch: 55 [28160/50000 (62%)]\tLoss: 0.176616, Accuracy: 93.75\n",
      "Train Epoch: 55 [30720/50000 (68%)]\tLoss: 0.191182, Accuracy: 93.55\n",
      "Train Epoch: 55 [33280/50000 (74%)]\tLoss: 0.180143, Accuracy: 94.73\n",
      "Train Epoch: 55 [35840/50000 (80%)]\tLoss: 0.207723, Accuracy: 91.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 55 [38400/50000 (85%)]\tLoss: 0.237436, Accuracy: 91.99\n",
      "Train Epoch: 55 [40960/50000 (91%)]\tLoss: 0.215064, Accuracy: 92.97\n",
      "Train Epoch: 55 [43520/50000 (97%)]\tLoss: 0.186142, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.4697, Accuracy: 4249/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.00932264328003 s]\n",
      "Train Epoch: 56 [0/50000 (0%)]\tLoss: 0.195514, Accuracy: 93.55\n",
      "Train Epoch: 56 [2560/50000 (6%)]\tLoss: 0.186106, Accuracy: 91.80\n",
      "Train Epoch: 56 [5120/50000 (11%)]\tLoss: 0.225858, Accuracy: 92.38\n",
      "Train Epoch: 56 [7680/50000 (17%)]\tLoss: 0.235463, Accuracy: 92.19\n",
      "Train Epoch: 56 [10240/50000 (23%)]\tLoss: 0.193294, Accuracy: 92.58\n",
      "Train Epoch: 56 [12800/50000 (28%)]\tLoss: 0.186376, Accuracy: 92.58\n",
      "Train Epoch: 56 [15360/50000 (34%)]\tLoss: 0.223816, Accuracy: 92.19\n",
      "Train Epoch: 56 [17920/50000 (40%)]\tLoss: 0.211817, Accuracy: 92.38\n",
      "Train Epoch: 56 [20480/50000 (45%)]\tLoss: 0.210414, Accuracy: 92.38\n",
      "Train Epoch: 56 [23040/50000 (51%)]\tLoss: 0.201114, Accuracy: 92.77\n",
      "Train Epoch: 56 [25600/50000 (57%)]\tLoss: 0.241871, Accuracy: 92.38\n",
      "Train Epoch: 56 [28160/50000 (62%)]\tLoss: 0.202382, Accuracy: 93.16\n",
      "Train Epoch: 56 [30720/50000 (68%)]\tLoss: 0.177188, Accuracy: 93.55\n",
      "Train Epoch: 56 [33280/50000 (74%)]\tLoss: 0.221183, Accuracy: 92.38\n",
      "Train Epoch: 56 [35840/50000 (80%)]\tLoss: 0.208084, Accuracy: 92.97\n",
      "Train Epoch: 56 [38400/50000 (85%)]\tLoss: 0.189555, Accuracy: 93.36\n",
      "Train Epoch: 56 [40960/50000 (91%)]\tLoss: 0.289862, Accuracy: 89.45\n",
      "Train Epoch: 56 [43520/50000 (97%)]\tLoss: 0.198398, Accuracy: 92.97\n",
      "\n",
      "Validation set: Average loss: 0.6814, Accuracy: 4053/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[31.977438926696777 s]\n",
      "Train Epoch: 57 [0/50000 (0%)]\tLoss: 0.186139, Accuracy: 94.14\n",
      "Train Epoch: 57 [2560/50000 (6%)]\tLoss: 0.219773, Accuracy: 91.80\n",
      "Train Epoch: 57 [5120/50000 (11%)]\tLoss: 0.150680, Accuracy: 94.34\n",
      "Train Epoch: 57 [7680/50000 (17%)]\tLoss: 0.141281, Accuracy: 95.51\n",
      "Train Epoch: 57 [10240/50000 (23%)]\tLoss: 0.186539, Accuracy: 94.14\n",
      "Train Epoch: 57 [12800/50000 (28%)]\tLoss: 0.213369, Accuracy: 93.75\n",
      "Train Epoch: 57 [15360/50000 (34%)]\tLoss: 0.132990, Accuracy: 96.29\n",
      "Train Epoch: 57 [17920/50000 (40%)]\tLoss: 0.214896, Accuracy: 92.77\n",
      "Train Epoch: 57 [20480/50000 (45%)]\tLoss: 0.197706, Accuracy: 93.95\n",
      "Train Epoch: 57 [23040/50000 (51%)]\tLoss: 0.188083, Accuracy: 93.36\n",
      "Train Epoch: 57 [25600/50000 (57%)]\tLoss: 0.179276, Accuracy: 93.16\n",
      "Train Epoch: 57 [28160/50000 (62%)]\tLoss: 0.229760, Accuracy: 91.21\n",
      "Train Epoch: 57 [30720/50000 (68%)]\tLoss: 0.180070, Accuracy: 93.95\n",
      "Train Epoch: 57 [33280/50000 (74%)]\tLoss: 0.194639, Accuracy: 92.77\n",
      "Train Epoch: 57 [35840/50000 (80%)]\tLoss: 0.251642, Accuracy: 91.21\n",
      "Train Epoch: 57 [38400/50000 (85%)]\tLoss: 0.241153, Accuracy: 91.60\n",
      "Train Epoch: 57 [40960/50000 (91%)]\tLoss: 0.236351, Accuracy: 90.62\n",
      "Train Epoch: 57 [43520/50000 (97%)]\tLoss: 0.260865, Accuracy: 90.82\n",
      "\n",
      "Validation set: Average loss: 0.4579, Accuracy: 4261/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.963979244232178 s]\n",
      "Train Epoch: 58 [0/50000 (0%)]\tLoss: 0.161009, Accuracy: 93.95\n",
      "Train Epoch: 58 [2560/50000 (6%)]\tLoss: 0.210019, Accuracy: 92.77\n",
      "Train Epoch: 58 [5120/50000 (11%)]\tLoss: 0.172911, Accuracy: 94.53\n",
      "Train Epoch: 58 [7680/50000 (17%)]\tLoss: 0.231519, Accuracy: 92.19\n",
      "Train Epoch: 58 [10240/50000 (23%)]\tLoss: 0.191220, Accuracy: 92.77\n",
      "Train Epoch: 58 [12800/50000 (28%)]\tLoss: 0.190774, Accuracy: 92.38\n",
      "Train Epoch: 58 [15360/50000 (34%)]\tLoss: 0.157371, Accuracy: 94.73\n",
      "Train Epoch: 58 [17920/50000 (40%)]\tLoss: 0.183420, Accuracy: 92.77\n",
      "Train Epoch: 58 [20480/50000 (45%)]\tLoss: 0.187493, Accuracy: 93.55\n",
      "Train Epoch: 58 [23040/50000 (51%)]\tLoss: 0.242855, Accuracy: 91.60\n",
      "Train Epoch: 58 [25600/50000 (57%)]\tLoss: 0.232540, Accuracy: 92.38\n",
      "Train Epoch: 58 [28160/50000 (62%)]\tLoss: 0.213593, Accuracy: 92.58\n",
      "Train Epoch: 58 [30720/50000 (68%)]\tLoss: 0.190421, Accuracy: 92.97\n",
      "Train Epoch: 58 [33280/50000 (74%)]\tLoss: 0.249842, Accuracy: 91.21\n",
      "Train Epoch: 58 [35840/50000 (80%)]\tLoss: 0.191685, Accuracy: 92.97\n",
      "Train Epoch: 58 [38400/50000 (85%)]\tLoss: 0.218277, Accuracy: 93.36\n",
      "Train Epoch: 58 [40960/50000 (91%)]\tLoss: 0.178251, Accuracy: 93.95\n",
      "Train Epoch: 58 [43520/50000 (97%)]\tLoss: 0.272264, Accuracy: 90.43\n",
      "\n",
      "Validation set: Average loss: 0.6757, Accuracy: 3937/5000 (78.00%)\n",
      "\n",
      "the time of this epoch:[32.00844407081604 s]\n",
      "Train Epoch: 59 [0/50000 (0%)]\tLoss: 0.171896, Accuracy: 94.73\n",
      "Train Epoch: 59 [2560/50000 (6%)]\tLoss: 0.195356, Accuracy: 93.16\n",
      "Train Epoch: 59 [5120/50000 (11%)]\tLoss: 0.192194, Accuracy: 93.16\n",
      "Train Epoch: 59 [7680/50000 (17%)]\tLoss: 0.184020, Accuracy: 93.55\n",
      "Train Epoch: 59 [10240/50000 (23%)]\tLoss: 0.179068, Accuracy: 94.14\n",
      "Train Epoch: 59 [12800/50000 (28%)]\tLoss: 0.202391, Accuracy: 92.97\n",
      "Train Epoch: 59 [15360/50000 (34%)]\tLoss: 0.207864, Accuracy: 91.99\n",
      "Train Epoch: 59 [17920/50000 (40%)]\tLoss: 0.187470, Accuracy: 93.16\n",
      "Train Epoch: 59 [20480/50000 (45%)]\tLoss: 0.150354, Accuracy: 95.90\n",
      "Train Epoch: 59 [23040/50000 (51%)]\tLoss: 0.186891, Accuracy: 93.36\n",
      "Train Epoch: 59 [25600/50000 (57%)]\tLoss: 0.167759, Accuracy: 94.53\n",
      "Train Epoch: 59 [28160/50000 (62%)]\tLoss: 0.198631, Accuracy: 93.36\n",
      "Train Epoch: 59 [30720/50000 (68%)]\tLoss: 0.214623, Accuracy: 92.38\n",
      "Train Epoch: 59 [33280/50000 (74%)]\tLoss: 0.200861, Accuracy: 92.38\n",
      "Train Epoch: 59 [35840/50000 (80%)]\tLoss: 0.224010, Accuracy: 92.19\n",
      "Train Epoch: 59 [38400/50000 (85%)]\tLoss: 0.224923, Accuracy: 92.97\n",
      "Train Epoch: 59 [40960/50000 (91%)]\tLoss: 0.208693, Accuracy: 92.58\n",
      "Train Epoch: 59 [43520/50000 (97%)]\tLoss: 0.180394, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.5301, Accuracy: 4223/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.03616118431091 s]\n",
      "Train Epoch: 60 [0/50000 (0%)]\tLoss: 0.170726, Accuracy: 93.55\n",
      "Train Epoch: 60 [2560/50000 (6%)]\tLoss: 0.179428, Accuracy: 93.36\n",
      "Train Epoch: 60 [5120/50000 (11%)]\tLoss: 0.183769, Accuracy: 93.95\n",
      "Train Epoch: 60 [7680/50000 (17%)]\tLoss: 0.175544, Accuracy: 95.31\n",
      "Train Epoch: 60 [10240/50000 (23%)]\tLoss: 0.141614, Accuracy: 94.73\n",
      "Train Epoch: 60 [12800/50000 (28%)]\tLoss: 0.168888, Accuracy: 93.75\n",
      "Train Epoch: 60 [15360/50000 (34%)]\tLoss: 0.245846, Accuracy: 92.19\n",
      "Train Epoch: 60 [17920/50000 (40%)]\tLoss: 0.165021, Accuracy: 94.53\n",
      "Train Epoch: 60 [20480/50000 (45%)]\tLoss: 0.221539, Accuracy: 92.77\n",
      "Train Epoch: 60 [23040/50000 (51%)]\tLoss: 0.180282, Accuracy: 94.34\n",
      "Train Epoch: 60 [25600/50000 (57%)]\tLoss: 0.245887, Accuracy: 91.60\n",
      "Train Epoch: 60 [28160/50000 (62%)]\tLoss: 0.197053, Accuracy: 92.58\n",
      "Train Epoch: 60 [30720/50000 (68%)]\tLoss: 0.207497, Accuracy: 93.75\n",
      "Train Epoch: 60 [33280/50000 (74%)]\tLoss: 0.186707, Accuracy: 93.55\n",
      "Train Epoch: 60 [35840/50000 (80%)]\tLoss: 0.186077, Accuracy: 93.36\n",
      "Train Epoch: 60 [38400/50000 (85%)]\tLoss: 0.193704, Accuracy: 92.77\n",
      "Train Epoch: 60 [40960/50000 (91%)]\tLoss: 0.170001, Accuracy: 93.75\n",
      "Train Epoch: 60 [43520/50000 (97%)]\tLoss: 0.229552, Accuracy: 91.60\n",
      "\n",
      "Validation set: Average loss: 0.4660, Accuracy: 4292/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.981749773025513 s]\n",
      "\n",
      "Test set: Average loss: 0.5044, Accuracy: 8500/10000 (85.00%)\n",
      "\n",
      "Train Epoch: 61 [0/50000 (0%)]\tLoss: 0.175884, Accuracy: 93.95\n",
      "Train Epoch: 61 [2560/50000 (6%)]\tLoss: 0.205968, Accuracy: 92.77\n",
      "Train Epoch: 61 [5120/50000 (11%)]\tLoss: 0.149219, Accuracy: 94.53\n",
      "Train Epoch: 61 [7680/50000 (17%)]\tLoss: 0.180512, Accuracy: 94.14\n",
      "Train Epoch: 61 [10240/50000 (23%)]\tLoss: 0.168302, Accuracy: 94.53\n",
      "Train Epoch: 61 [12800/50000 (28%)]\tLoss: 0.198618, Accuracy: 93.36\n",
      "Train Epoch: 61 [15360/50000 (34%)]\tLoss: 0.201593, Accuracy: 92.58\n",
      "Train Epoch: 61 [17920/50000 (40%)]\tLoss: 0.159494, Accuracy: 94.53\n",
      "Train Epoch: 61 [20480/50000 (45%)]\tLoss: 0.216114, Accuracy: 92.38\n",
      "Train Epoch: 61 [23040/50000 (51%)]\tLoss: 0.247464, Accuracy: 92.19\n",
      "Train Epoch: 61 [25600/50000 (57%)]\tLoss: 0.185680, Accuracy: 93.95\n",
      "Train Epoch: 61 [28160/50000 (62%)]\tLoss: 0.199460, Accuracy: 93.16\n",
      "Train Epoch: 61 [30720/50000 (68%)]\tLoss: 0.171945, Accuracy: 93.75\n",
      "Train Epoch: 61 [33280/50000 (74%)]\tLoss: 0.195420, Accuracy: 92.58\n",
      "Train Epoch: 61 [35840/50000 (80%)]\tLoss: 0.222085, Accuracy: 91.21\n",
      "Train Epoch: 61 [38400/50000 (85%)]\tLoss: 0.169938, Accuracy: 94.14\n",
      "Train Epoch: 61 [40960/50000 (91%)]\tLoss: 0.210519, Accuracy: 92.19\n",
      "Train Epoch: 61 [43520/50000 (97%)]\tLoss: 0.190881, Accuracy: 94.14\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Validation set: Average loss: 0.4530, Accuracy: 4286/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[34.80716371536255 s]\n",
      "Train Epoch: 62 [0/50000 (0%)]\tLoss: 0.183086, Accuracy: 93.55\n",
      "Train Epoch: 62 [2560/50000 (6%)]\tLoss: 0.169772, Accuracy: 94.34\n",
      "Train Epoch: 62 [5120/50000 (11%)]\tLoss: 0.157306, Accuracy: 94.53\n",
      "Train Epoch: 62 [7680/50000 (17%)]\tLoss: 0.135533, Accuracy: 95.31\n",
      "Train Epoch: 62 [10240/50000 (23%)]\tLoss: 0.153294, Accuracy: 94.73\n",
      "Train Epoch: 62 [12800/50000 (28%)]\tLoss: 0.165657, Accuracy: 94.34\n",
      "Train Epoch: 62 [15360/50000 (34%)]\tLoss: 0.196186, Accuracy: 93.55\n",
      "Train Epoch: 62 [17920/50000 (40%)]\tLoss: 0.184583, Accuracy: 94.53\n",
      "Train Epoch: 62 [20480/50000 (45%)]\tLoss: 0.165351, Accuracy: 94.92\n",
      "Train Epoch: 62 [23040/50000 (51%)]\tLoss: 0.162463, Accuracy: 94.34\n",
      "Train Epoch: 62 [25600/50000 (57%)]\tLoss: 0.213982, Accuracy: 92.38\n",
      "Train Epoch: 62 [28160/50000 (62%)]\tLoss: 0.167534, Accuracy: 93.55\n",
      "Train Epoch: 62 [30720/50000 (68%)]\tLoss: 0.165008, Accuracy: 93.95\n",
      "Train Epoch: 62 [33280/50000 (74%)]\tLoss: 0.253227, Accuracy: 90.82\n",
      "Train Epoch: 62 [35840/50000 (80%)]\tLoss: 0.206883, Accuracy: 92.97\n",
      "Train Epoch: 62 [38400/50000 (85%)]\tLoss: 0.214291, Accuracy: 92.58\n",
      "Train Epoch: 62 [40960/50000 (91%)]\tLoss: 0.222573, Accuracy: 91.02\n",
      "Train Epoch: 62 [43520/50000 (97%)]\tLoss: 0.192833, Accuracy: 93.36\n",
      "\n",
      "Validation set: Average loss: 0.4479, Accuracy: 4281/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.996087074279785 s]\n",
      "Train Epoch: 63 [0/50000 (0%)]\tLoss: 0.148661, Accuracy: 95.51\n",
      "Train Epoch: 63 [2560/50000 (6%)]\tLoss: 0.194130, Accuracy: 94.14\n",
      "Train Epoch: 63 [5120/50000 (11%)]\tLoss: 0.163876, Accuracy: 94.73\n",
      "Train Epoch: 63 [7680/50000 (17%)]\tLoss: 0.172268, Accuracy: 95.12\n",
      "Train Epoch: 63 [10240/50000 (23%)]\tLoss: 0.174034, Accuracy: 93.95\n",
      "Train Epoch: 63 [12800/50000 (28%)]\tLoss: 0.232320, Accuracy: 92.77\n",
      "Train Epoch: 63 [15360/50000 (34%)]\tLoss: 0.228803, Accuracy: 91.41\n",
      "Train Epoch: 63 [17920/50000 (40%)]\tLoss: 0.214106, Accuracy: 92.19\n",
      "Train Epoch: 63 [20480/50000 (45%)]\tLoss: 0.211386, Accuracy: 92.58\n",
      "Train Epoch: 63 [23040/50000 (51%)]\tLoss: 0.200812, Accuracy: 93.36\n",
      "Train Epoch: 63 [25600/50000 (57%)]\tLoss: 0.210051, Accuracy: 93.75\n",
      "Train Epoch: 63 [28160/50000 (62%)]\tLoss: 0.190039, Accuracy: 93.36\n",
      "Train Epoch: 63 [30720/50000 (68%)]\tLoss: 0.166575, Accuracy: 94.73\n",
      "Train Epoch: 63 [33280/50000 (74%)]\tLoss: 0.187240, Accuracy: 93.95\n",
      "Train Epoch: 63 [35840/50000 (80%)]\tLoss: 0.230294, Accuracy: 91.60\n",
      "Train Epoch: 63 [38400/50000 (85%)]\tLoss: 0.242374, Accuracy: 91.41\n",
      "Train Epoch: 63 [40960/50000 (91%)]\tLoss: 0.191220, Accuracy: 92.77\n",
      "Train Epoch: 63 [43520/50000 (97%)]\tLoss: 0.197256, Accuracy: 93.36\n",
      "\n",
      "Validation set: Average loss: 0.5008, Accuracy: 4236/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.95715594291687 s]\n",
      "Train Epoch: 64 [0/50000 (0%)]\tLoss: 0.171513, Accuracy: 93.36\n",
      "Train Epoch: 64 [2560/50000 (6%)]\tLoss: 0.200165, Accuracy: 92.38\n",
      "Train Epoch: 64 [5120/50000 (11%)]\tLoss: 0.172814, Accuracy: 95.12\n",
      "Train Epoch: 64 [7680/50000 (17%)]\tLoss: 0.188205, Accuracy: 94.14\n",
      "Train Epoch: 64 [10240/50000 (23%)]\tLoss: 0.182891, Accuracy: 93.36\n",
      "Train Epoch: 64 [12800/50000 (28%)]\tLoss: 0.237198, Accuracy: 91.80\n",
      "Train Epoch: 64 [15360/50000 (34%)]\tLoss: 0.214766, Accuracy: 92.38\n",
      "Train Epoch: 64 [17920/50000 (40%)]\tLoss: 0.185360, Accuracy: 94.14\n",
      "Train Epoch: 64 [20480/50000 (45%)]\tLoss: 0.221917, Accuracy: 91.99\n",
      "Train Epoch: 64 [23040/50000 (51%)]\tLoss: 0.212052, Accuracy: 92.19\n",
      "Train Epoch: 64 [25600/50000 (57%)]\tLoss: 0.228902, Accuracy: 91.80\n",
      "Train Epoch: 64 [28160/50000 (62%)]\tLoss: 0.158643, Accuracy: 94.73\n",
      "Train Epoch: 64 [30720/50000 (68%)]\tLoss: 0.182064, Accuracy: 93.95\n",
      "Train Epoch: 64 [33280/50000 (74%)]\tLoss: 0.203097, Accuracy: 93.55\n",
      "Train Epoch: 64 [35840/50000 (80%)]\tLoss: 0.190099, Accuracy: 93.36\n",
      "Train Epoch: 64 [38400/50000 (85%)]\tLoss: 0.269694, Accuracy: 91.02\n",
      "Train Epoch: 64 [40960/50000 (91%)]\tLoss: 0.207568, Accuracy: 93.16\n",
      "Train Epoch: 64 [43520/50000 (97%)]\tLoss: 0.225335, Accuracy: 91.99\n",
      "\n",
      "Validation set: Average loss: 0.4124, Accuracy: 4335/5000 (86.00%)\n",
      "\n",
      "the time of this epoch:[31.93144202232361 s]\n",
      "Train Epoch: 65 [0/50000 (0%)]\tLoss: 0.183501, Accuracy: 93.55\n",
      "Train Epoch: 65 [2560/50000 (6%)]\tLoss: 0.190218, Accuracy: 93.55\n",
      "Train Epoch: 65 [5120/50000 (11%)]\tLoss: 0.153672, Accuracy: 94.73\n",
      "Train Epoch: 65 [7680/50000 (17%)]\tLoss: 0.181668, Accuracy: 93.55\n",
      "Train Epoch: 65 [10240/50000 (23%)]\tLoss: 0.177858, Accuracy: 93.75\n",
      "Train Epoch: 65 [12800/50000 (28%)]\tLoss: 0.149007, Accuracy: 94.53\n",
      "Train Epoch: 65 [15360/50000 (34%)]\tLoss: 0.209919, Accuracy: 91.60\n",
      "Train Epoch: 65 [17920/50000 (40%)]\tLoss: 0.192547, Accuracy: 92.77\n",
      "Train Epoch: 65 [20480/50000 (45%)]\tLoss: 0.188037, Accuracy: 93.55\n",
      "Train Epoch: 65 [23040/50000 (51%)]\tLoss: 0.220750, Accuracy: 92.38\n",
      "Train Epoch: 65 [25600/50000 (57%)]\tLoss: 0.207069, Accuracy: 93.16\n",
      "Train Epoch: 65 [28160/50000 (62%)]\tLoss: 0.259727, Accuracy: 90.62\n",
      "Train Epoch: 65 [30720/50000 (68%)]\tLoss: 0.228235, Accuracy: 92.38\n",
      "Train Epoch: 65 [33280/50000 (74%)]\tLoss: 0.136838, Accuracy: 95.31\n",
      "Train Epoch: 65 [35840/50000 (80%)]\tLoss: 0.215255, Accuracy: 92.38\n",
      "Train Epoch: 65 [38400/50000 (85%)]\tLoss: 0.174480, Accuracy: 95.12\n",
      "Train Epoch: 65 [40960/50000 (91%)]\tLoss: 0.215593, Accuracy: 93.16\n",
      "Train Epoch: 65 [43520/50000 (97%)]\tLoss: 0.219496, Accuracy: 93.16\n",
      "\n",
      "Validation set: Average loss: 0.4993, Accuracy: 4266/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.949888944625854 s]\n",
      "Train Epoch: 66 [0/50000 (0%)]\tLoss: 0.153042, Accuracy: 94.92\n",
      "Train Epoch: 66 [2560/50000 (6%)]\tLoss: 0.182515, Accuracy: 93.75\n",
      "Train Epoch: 66 [5120/50000 (11%)]\tLoss: 0.149555, Accuracy: 94.73\n",
      "Train Epoch: 66 [7680/50000 (17%)]\tLoss: 0.189584, Accuracy: 93.16\n",
      "Train Epoch: 66 [10240/50000 (23%)]\tLoss: 0.139546, Accuracy: 94.92\n",
      "Train Epoch: 66 [12800/50000 (28%)]\tLoss: 0.217215, Accuracy: 92.58\n",
      "Train Epoch: 66 [15360/50000 (34%)]\tLoss: 0.136333, Accuracy: 96.29\n",
      "Train Epoch: 66 [17920/50000 (40%)]\tLoss: 0.204697, Accuracy: 92.19\n",
      "Train Epoch: 66 [20480/50000 (45%)]\tLoss: 0.227589, Accuracy: 92.97\n",
      "Train Epoch: 66 [23040/50000 (51%)]\tLoss: 0.180047, Accuracy: 93.75\n",
      "Train Epoch: 66 [25600/50000 (57%)]\tLoss: 0.204396, Accuracy: 92.97\n",
      "Train Epoch: 66 [28160/50000 (62%)]\tLoss: 0.243258, Accuracy: 91.41\n",
      "Train Epoch: 66 [30720/50000 (68%)]\tLoss: 0.184474, Accuracy: 92.77\n",
      "Train Epoch: 66 [33280/50000 (74%)]\tLoss: 0.227477, Accuracy: 92.38\n",
      "Train Epoch: 66 [35840/50000 (80%)]\tLoss: 0.213511, Accuracy: 92.97\n",
      "Train Epoch: 66 [38400/50000 (85%)]\tLoss: 0.178553, Accuracy: 93.55\n",
      "Train Epoch: 66 [40960/50000 (91%)]\tLoss: 0.209905, Accuracy: 91.99\n",
      "Train Epoch: 66 [43520/50000 (97%)]\tLoss: 0.224686, Accuracy: 93.16\n",
      "\n",
      "Validation set: Average loss: 0.5315, Accuracy: 4163/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[32.00532245635986 s]\n",
      "Train Epoch: 67 [0/50000 (0%)]\tLoss: 0.195569, Accuracy: 92.58\n",
      "Train Epoch: 67 [2560/50000 (6%)]\tLoss: 0.195594, Accuracy: 92.58\n",
      "Train Epoch: 67 [5120/50000 (11%)]\tLoss: 0.209044, Accuracy: 93.16\n",
      "Train Epoch: 67 [7680/50000 (17%)]\tLoss: 0.223351, Accuracy: 91.02\n",
      "Train Epoch: 67 [10240/50000 (23%)]\tLoss: 0.208585, Accuracy: 92.58\n",
      "Train Epoch: 67 [12800/50000 (28%)]\tLoss: 0.170803, Accuracy: 94.53\n",
      "Train Epoch: 67 [15360/50000 (34%)]\tLoss: 0.186451, Accuracy: 93.95\n",
      "Train Epoch: 67 [17920/50000 (40%)]\tLoss: 0.166153, Accuracy: 94.14\n",
      "Train Epoch: 67 [20480/50000 (45%)]\tLoss: 0.232250, Accuracy: 91.99\n",
      "Train Epoch: 67 [23040/50000 (51%)]\tLoss: 0.201448, Accuracy: 94.73\n",
      "Train Epoch: 67 [25600/50000 (57%)]\tLoss: 0.219749, Accuracy: 92.97\n",
      "Train Epoch: 67 [28160/50000 (62%)]\tLoss: 0.196240, Accuracy: 93.36\n",
      "Train Epoch: 67 [30720/50000 (68%)]\tLoss: 0.180376, Accuracy: 93.36\n",
      "Train Epoch: 67 [33280/50000 (74%)]\tLoss: 0.190564, Accuracy: 93.16\n",
      "Train Epoch: 67 [35840/50000 (80%)]\tLoss: 0.237888, Accuracy: 93.36\n",
      "Train Epoch: 67 [38400/50000 (85%)]\tLoss: 0.200615, Accuracy: 93.36\n",
      "Train Epoch: 67 [40960/50000 (91%)]\tLoss: 0.176032, Accuracy: 93.95\n",
      "Train Epoch: 67 [43520/50000 (97%)]\tLoss: 0.174572, Accuracy: 93.75\n",
      "\n",
      "Validation set: Average loss: 0.5325, Accuracy: 4230/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.954432249069214 s]\n",
      "Train Epoch: 68 [0/50000 (0%)]\tLoss: 0.174001, Accuracy: 92.77\n",
      "Train Epoch: 68 [2560/50000 (6%)]\tLoss: 0.208696, Accuracy: 92.58\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 68 [5120/50000 (11%)]\tLoss: 0.237767, Accuracy: 91.99\n",
      "Train Epoch: 68 [7680/50000 (17%)]\tLoss: 0.141830, Accuracy: 95.70\n",
      "Train Epoch: 68 [10240/50000 (23%)]\tLoss: 0.226442, Accuracy: 92.77\n",
      "Train Epoch: 68 [12800/50000 (28%)]\tLoss: 0.178072, Accuracy: 93.16\n",
      "Train Epoch: 68 [15360/50000 (34%)]\tLoss: 0.144909, Accuracy: 95.51\n",
      "Train Epoch: 68 [17920/50000 (40%)]\tLoss: 0.129595, Accuracy: 94.92\n",
      "Train Epoch: 68 [20480/50000 (45%)]\tLoss: 0.215034, Accuracy: 93.36\n",
      "Train Epoch: 68 [23040/50000 (51%)]\tLoss: 0.191925, Accuracy: 93.55\n",
      "Train Epoch: 68 [25600/50000 (57%)]\tLoss: 0.178896, Accuracy: 93.75\n",
      "Train Epoch: 68 [28160/50000 (62%)]\tLoss: 0.178917, Accuracy: 92.58\n",
      "Train Epoch: 68 [30720/50000 (68%)]\tLoss: 0.194707, Accuracy: 92.58\n",
      "Train Epoch: 68 [33280/50000 (74%)]\tLoss: 0.205215, Accuracy: 92.58\n",
      "Train Epoch: 68 [35840/50000 (80%)]\tLoss: 0.224834, Accuracy: 91.21\n",
      "Train Epoch: 68 [38400/50000 (85%)]\tLoss: 0.224711, Accuracy: 92.19\n",
      "Train Epoch: 68 [40960/50000 (91%)]\tLoss: 0.142142, Accuracy: 94.73\n",
      "Train Epoch: 68 [43520/50000 (97%)]\tLoss: 0.235186, Accuracy: 91.99\n",
      "\n",
      "Validation set: Average loss: 0.5953, Accuracy: 4131/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[31.976779222488403 s]\n",
      "Train Epoch: 69 [0/50000 (0%)]\tLoss: 0.126359, Accuracy: 96.68\n",
      "Train Epoch: 69 [2560/50000 (6%)]\tLoss: 0.205824, Accuracy: 92.77\n",
      "Train Epoch: 69 [5120/50000 (11%)]\tLoss: 0.150413, Accuracy: 95.31\n",
      "Train Epoch: 69 [7680/50000 (17%)]\tLoss: 0.140487, Accuracy: 94.92\n",
      "Train Epoch: 69 [10240/50000 (23%)]\tLoss: 0.180921, Accuracy: 93.75\n",
      "Train Epoch: 69 [12800/50000 (28%)]\tLoss: 0.172703, Accuracy: 93.36\n",
      "Train Epoch: 69 [15360/50000 (34%)]\tLoss: 0.204961, Accuracy: 93.16\n",
      "Train Epoch: 69 [17920/50000 (40%)]\tLoss: 0.208147, Accuracy: 92.77\n",
      "Train Epoch: 69 [20480/50000 (45%)]\tLoss: 0.257592, Accuracy: 91.99\n",
      "Train Epoch: 69 [23040/50000 (51%)]\tLoss: 0.211192, Accuracy: 92.38\n",
      "Train Epoch: 69 [25600/50000 (57%)]\tLoss: 0.201788, Accuracy: 93.95\n",
      "Train Epoch: 69 [28160/50000 (62%)]\tLoss: 0.215285, Accuracy: 92.97\n",
      "Train Epoch: 69 [30720/50000 (68%)]\tLoss: 0.170564, Accuracy: 94.14\n",
      "Train Epoch: 69 [33280/50000 (74%)]\tLoss: 0.189764, Accuracy: 94.53\n",
      "Train Epoch: 69 [35840/50000 (80%)]\tLoss: 0.212643, Accuracy: 92.77\n",
      "Train Epoch: 69 [38400/50000 (85%)]\tLoss: 0.211961, Accuracy: 93.16\n",
      "Train Epoch: 69 [40960/50000 (91%)]\tLoss: 0.139545, Accuracy: 95.90\n",
      "Train Epoch: 69 [43520/50000 (97%)]\tLoss: 0.201100, Accuracy: 93.75\n",
      "\n",
      "Validation set: Average loss: 0.5247, Accuracy: 4203/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.971974849700928 s]\n",
      "Train Epoch: 70 [0/50000 (0%)]\tLoss: 0.181429, Accuracy: 94.92\n",
      "Train Epoch: 70 [2560/50000 (6%)]\tLoss: 0.154574, Accuracy: 95.31\n",
      "Train Epoch: 70 [5120/50000 (11%)]\tLoss: 0.236247, Accuracy: 91.41\n",
      "Train Epoch: 70 [7680/50000 (17%)]\tLoss: 0.169127, Accuracy: 94.73\n",
      "Train Epoch: 70 [10240/50000 (23%)]\tLoss: 0.176002, Accuracy: 93.55\n",
      "Train Epoch: 70 [12800/50000 (28%)]\tLoss: 0.173703, Accuracy: 93.16\n",
      "Train Epoch: 70 [15360/50000 (34%)]\tLoss: 0.185752, Accuracy: 92.77\n",
      "Train Epoch: 70 [17920/50000 (40%)]\tLoss: 0.181721, Accuracy: 93.36\n",
      "Train Epoch: 70 [20480/50000 (45%)]\tLoss: 0.209684, Accuracy: 93.55\n",
      "Train Epoch: 70 [23040/50000 (51%)]\tLoss: 0.201290, Accuracy: 93.55\n",
      "Train Epoch: 70 [25600/50000 (57%)]\tLoss: 0.177928, Accuracy: 93.55\n",
      "Train Epoch: 70 [28160/50000 (62%)]\tLoss: 0.176678, Accuracy: 94.34\n",
      "Train Epoch: 70 [30720/50000 (68%)]\tLoss: 0.273238, Accuracy: 90.04\n",
      "Train Epoch: 70 [33280/50000 (74%)]\tLoss: 0.190628, Accuracy: 93.55\n",
      "Train Epoch: 70 [35840/50000 (80%)]\tLoss: 0.175836, Accuracy: 93.75\n",
      "Train Epoch: 70 [38400/50000 (85%)]\tLoss: 0.186709, Accuracy: 93.95\n",
      "Train Epoch: 70 [40960/50000 (91%)]\tLoss: 0.234695, Accuracy: 92.19\n",
      "Train Epoch: 70 [43520/50000 (97%)]\tLoss: 0.189254, Accuracy: 93.55\n",
      "\n",
      "Validation set: Average loss: 0.4959, Accuracy: 4262/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.97446894645691 s]\n",
      "\n",
      "Test set: Average loss: 0.5208, Accuracy: 8426/10000 (84.26%)\n",
      "\n",
      "Train Epoch: 71 [0/50000 (0%)]\tLoss: 0.207362, Accuracy: 90.82\n",
      "Train Epoch: 71 [2560/50000 (6%)]\tLoss: 0.160120, Accuracy: 94.34\n",
      "Train Epoch: 71 [5120/50000 (11%)]\tLoss: 0.232062, Accuracy: 92.97\n",
      "Train Epoch: 71 [7680/50000 (17%)]\tLoss: 0.232099, Accuracy: 91.41\n",
      "Train Epoch: 71 [10240/50000 (23%)]\tLoss: 0.205489, Accuracy: 92.19\n",
      "Train Epoch: 71 [12800/50000 (28%)]\tLoss: 0.188234, Accuracy: 93.55\n",
      "Train Epoch: 71 [15360/50000 (34%)]\tLoss: 0.191255, Accuracy: 93.36\n",
      "Train Epoch: 71 [17920/50000 (40%)]\tLoss: 0.183310, Accuracy: 94.34\n",
      "Train Epoch: 71 [20480/50000 (45%)]\tLoss: 0.221129, Accuracy: 92.19\n",
      "Train Epoch: 71 [23040/50000 (51%)]\tLoss: 0.210753, Accuracy: 91.99\n",
      "Train Epoch: 71 [25600/50000 (57%)]\tLoss: 0.164251, Accuracy: 94.92\n",
      "Train Epoch: 71 [28160/50000 (62%)]\tLoss: 0.168549, Accuracy: 95.31\n",
      "Train Epoch: 71 [30720/50000 (68%)]\tLoss: 0.183873, Accuracy: 94.14\n",
      "Train Epoch: 71 [33280/50000 (74%)]\tLoss: 0.209257, Accuracy: 91.99\n",
      "Train Epoch: 71 [35840/50000 (80%)]\tLoss: 0.176556, Accuracy: 93.75\n",
      "Train Epoch: 71 [38400/50000 (85%)]\tLoss: 0.195016, Accuracy: 93.36\n",
      "Train Epoch: 71 [40960/50000 (91%)]\tLoss: 0.136892, Accuracy: 94.34\n",
      "Train Epoch: 71 [43520/50000 (97%)]\tLoss: 0.177067, Accuracy: 93.75\n",
      "\n",
      "Validation set: Average loss: 0.4645, Accuracy: 4266/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[34.753591537475586 s]\n",
      "Train Epoch: 72 [0/50000 (0%)]\tLoss: 0.153696, Accuracy: 95.51\n",
      "Train Epoch: 72 [2560/50000 (6%)]\tLoss: 0.151999, Accuracy: 94.14\n",
      "Train Epoch: 72 [5120/50000 (11%)]\tLoss: 0.178077, Accuracy: 93.55\n",
      "Train Epoch: 72 [7680/50000 (17%)]\tLoss: 0.194326, Accuracy: 94.14\n",
      "Train Epoch: 72 [10240/50000 (23%)]\tLoss: 0.204135, Accuracy: 93.16\n",
      "Train Epoch: 72 [12800/50000 (28%)]\tLoss: 0.178186, Accuracy: 94.92\n",
      "Train Epoch: 72 [15360/50000 (34%)]\tLoss: 0.214108, Accuracy: 93.16\n",
      "Train Epoch: 72 [17920/50000 (40%)]\tLoss: 0.206887, Accuracy: 93.75\n",
      "Train Epoch: 72 [20480/50000 (45%)]\tLoss: 0.172982, Accuracy: 92.77\n",
      "Train Epoch: 72 [23040/50000 (51%)]\tLoss: 0.208536, Accuracy: 92.58\n",
      "Train Epoch: 72 [25600/50000 (57%)]\tLoss: 0.201827, Accuracy: 91.41\n",
      "Train Epoch: 72 [28160/50000 (62%)]\tLoss: 0.193181, Accuracy: 92.77\n",
      "Train Epoch: 72 [30720/50000 (68%)]\tLoss: 0.210522, Accuracy: 92.38\n",
      "Train Epoch: 72 [33280/50000 (74%)]\tLoss: 0.194293, Accuracy: 92.77\n",
      "Train Epoch: 72 [35840/50000 (80%)]\tLoss: 0.202273, Accuracy: 92.58\n",
      "Train Epoch: 72 [38400/50000 (85%)]\tLoss: 0.202165, Accuracy: 93.95\n",
      "Train Epoch: 72 [40960/50000 (91%)]\tLoss: 0.231091, Accuracy: 91.80\n",
      "Train Epoch: 72 [43520/50000 (97%)]\tLoss: 0.210141, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.5580, Accuracy: 4164/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.939470767974854 s]\n",
      "Train Epoch: 73 [0/50000 (0%)]\tLoss: 0.155467, Accuracy: 94.92\n",
      "Train Epoch: 73 [2560/50000 (6%)]\tLoss: 0.179550, Accuracy: 93.95\n",
      "Train Epoch: 73 [5120/50000 (11%)]\tLoss: 0.189544, Accuracy: 93.75\n",
      "Train Epoch: 73 [7680/50000 (17%)]\tLoss: 0.174934, Accuracy: 93.16\n",
      "Train Epoch: 73 [10240/50000 (23%)]\tLoss: 0.131469, Accuracy: 95.31\n",
      "Train Epoch: 73 [12800/50000 (28%)]\tLoss: 0.176322, Accuracy: 92.38\n",
      "Train Epoch: 73 [15360/50000 (34%)]\tLoss: 0.271753, Accuracy: 90.82\n",
      "Train Epoch: 73 [17920/50000 (40%)]\tLoss: 0.222958, Accuracy: 93.16\n",
      "Train Epoch: 73 [20480/50000 (45%)]\tLoss: 0.204716, Accuracy: 91.99\n",
      "Train Epoch: 73 [23040/50000 (51%)]\tLoss: 0.196836, Accuracy: 92.58\n",
      "Train Epoch: 73 [25600/50000 (57%)]\tLoss: 0.228459, Accuracy: 92.38\n",
      "Train Epoch: 73 [28160/50000 (62%)]\tLoss: 0.199346, Accuracy: 93.75\n",
      "Train Epoch: 73 [30720/50000 (68%)]\tLoss: 0.198698, Accuracy: 93.55\n",
      "Train Epoch: 73 [33280/50000 (74%)]\tLoss: 0.251811, Accuracy: 90.82\n",
      "Train Epoch: 73 [35840/50000 (80%)]\tLoss: 0.196076, Accuracy: 94.92\n",
      "Train Epoch: 73 [38400/50000 (85%)]\tLoss: 0.204048, Accuracy: 92.77\n",
      "Train Epoch: 73 [40960/50000 (91%)]\tLoss: 0.182189, Accuracy: 93.55\n",
      "Train Epoch: 73 [43520/50000 (97%)]\tLoss: 0.194662, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.4687, Accuracy: 4250/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.992659330368042 s]\n",
      "Train Epoch: 74 [0/50000 (0%)]\tLoss: 0.135976, Accuracy: 96.09\n",
      "Train Epoch: 74 [2560/50000 (6%)]\tLoss: 0.163914, Accuracy: 92.97\n",
      "Train Epoch: 74 [5120/50000 (11%)]\tLoss: 0.160328, Accuracy: 93.95\n",
      "Train Epoch: 74 [7680/50000 (17%)]\tLoss: 0.160223, Accuracy: 93.75\n",
      "Train Epoch: 74 [10240/50000 (23%)]\tLoss: 0.170909, Accuracy: 94.14\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 74 [12800/50000 (28%)]\tLoss: 0.199602, Accuracy: 92.77\n",
      "Train Epoch: 74 [15360/50000 (34%)]\tLoss: 0.182206, Accuracy: 94.14\n",
      "Train Epoch: 74 [17920/50000 (40%)]\tLoss: 0.206993, Accuracy: 92.38\n",
      "Train Epoch: 74 [20480/50000 (45%)]\tLoss: 0.135560, Accuracy: 95.90\n",
      "Train Epoch: 74 [23040/50000 (51%)]\tLoss: 0.165456, Accuracy: 94.92\n",
      "Train Epoch: 74 [25600/50000 (57%)]\tLoss: 0.180984, Accuracy: 94.34\n",
      "Train Epoch: 74 [28160/50000 (62%)]\tLoss: 0.217274, Accuracy: 93.95\n",
      "Train Epoch: 74 [30720/50000 (68%)]\tLoss: 0.154027, Accuracy: 94.92\n",
      "Train Epoch: 74 [33280/50000 (74%)]\tLoss: 0.205483, Accuracy: 93.55\n",
      "Train Epoch: 74 [35840/50000 (80%)]\tLoss: 0.205390, Accuracy: 92.38\n",
      "Train Epoch: 74 [38400/50000 (85%)]\tLoss: 0.203774, Accuracy: 93.55\n",
      "Train Epoch: 74 [40960/50000 (91%)]\tLoss: 0.188082, Accuracy: 94.34\n",
      "Train Epoch: 74 [43520/50000 (97%)]\tLoss: 0.291210, Accuracy: 89.26\n",
      "\n",
      "Validation set: Average loss: 0.4086, Accuracy: 4354/5000 (87.00%)\n",
      "\n",
      "the time of this epoch:[31.998087882995605 s]\n",
      "Train Epoch: 75 [0/50000 (0%)]\tLoss: 0.147172, Accuracy: 94.34\n",
      "Train Epoch: 75 [2560/50000 (6%)]\tLoss: 0.157595, Accuracy: 94.53\n",
      "Train Epoch: 75 [5120/50000 (11%)]\tLoss: 0.123320, Accuracy: 95.31\n",
      "Train Epoch: 75 [7680/50000 (17%)]\tLoss: 0.134342, Accuracy: 95.90\n",
      "Train Epoch: 75 [10240/50000 (23%)]\tLoss: 0.141312, Accuracy: 94.92\n",
      "Train Epoch: 75 [12800/50000 (28%)]\tLoss: 0.182391, Accuracy: 93.36\n",
      "Train Epoch: 75 [15360/50000 (34%)]\tLoss: 0.199768, Accuracy: 93.36\n",
      "Train Epoch: 75 [17920/50000 (40%)]\tLoss: 0.221684, Accuracy: 91.80\n",
      "Train Epoch: 75 [20480/50000 (45%)]\tLoss: 0.228778, Accuracy: 92.58\n",
      "Train Epoch: 75 [23040/50000 (51%)]\tLoss: 0.191797, Accuracy: 93.55\n",
      "Train Epoch: 75 [25600/50000 (57%)]\tLoss: 0.258127, Accuracy: 90.43\n",
      "Train Epoch: 75 [28160/50000 (62%)]\tLoss: 0.207008, Accuracy: 92.58\n",
      "Train Epoch: 75 [30720/50000 (68%)]\tLoss: 0.224572, Accuracy: 91.99\n",
      "Train Epoch: 75 [33280/50000 (74%)]\tLoss: 0.245014, Accuracy: 91.02\n",
      "Train Epoch: 75 [35840/50000 (80%)]\tLoss: 0.228083, Accuracy: 92.19\n",
      "Train Epoch: 75 [38400/50000 (85%)]\tLoss: 0.193490, Accuracy: 93.36\n",
      "Train Epoch: 75 [40960/50000 (91%)]\tLoss: 0.251783, Accuracy: 91.41\n",
      "Train Epoch: 75 [43520/50000 (97%)]\tLoss: 0.200212, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.5023, Accuracy: 4214/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.95690155029297 s]\n",
      "Train Epoch: 76 [0/50000 (0%)]\tLoss: 0.182926, Accuracy: 93.95\n",
      "Train Epoch: 76 [2560/50000 (6%)]\tLoss: 0.209285, Accuracy: 91.41\n",
      "Train Epoch: 76 [5120/50000 (11%)]\tLoss: 0.171113, Accuracy: 94.53\n",
      "Train Epoch: 76 [7680/50000 (17%)]\tLoss: 0.165508, Accuracy: 93.55\n",
      "Train Epoch: 76 [10240/50000 (23%)]\tLoss: 0.220801, Accuracy: 92.58\n",
      "Train Epoch: 76 [12800/50000 (28%)]\tLoss: 0.152854, Accuracy: 95.70\n",
      "Train Epoch: 76 [15360/50000 (34%)]\tLoss: 0.161631, Accuracy: 93.36\n",
      "Train Epoch: 76 [17920/50000 (40%)]\tLoss: 0.249807, Accuracy: 91.60\n",
      "Train Epoch: 76 [20480/50000 (45%)]\tLoss: 0.176382, Accuracy: 92.97\n",
      "Train Epoch: 76 [23040/50000 (51%)]\tLoss: 0.226682, Accuracy: 92.97\n",
      "Train Epoch: 76 [25600/50000 (57%)]\tLoss: 0.199085, Accuracy: 91.99\n",
      "Train Epoch: 76 [28160/50000 (62%)]\tLoss: 0.165510, Accuracy: 93.95\n",
      "Train Epoch: 76 [30720/50000 (68%)]\tLoss: 0.191662, Accuracy: 93.55\n",
      "Train Epoch: 76 [33280/50000 (74%)]\tLoss: 0.227412, Accuracy: 92.19\n",
      "Train Epoch: 76 [35840/50000 (80%)]\tLoss: 0.191605, Accuracy: 94.14\n",
      "Train Epoch: 76 [38400/50000 (85%)]\tLoss: 0.214044, Accuracy: 93.55\n",
      "Train Epoch: 76 [40960/50000 (91%)]\tLoss: 0.231638, Accuracy: 91.99\n",
      "Train Epoch: 76 [43520/50000 (97%)]\tLoss: 0.306475, Accuracy: 90.23\n",
      "\n",
      "Validation set: Average loss: 0.5375, Accuracy: 4194/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.953161239624023 s]\n",
      "Train Epoch: 77 [0/50000 (0%)]\tLoss: 0.224234, Accuracy: 92.38\n",
      "Train Epoch: 77 [2560/50000 (6%)]\tLoss: 0.177730, Accuracy: 93.55\n",
      "Train Epoch: 77 [5120/50000 (11%)]\tLoss: 0.211567, Accuracy: 92.38\n",
      "Train Epoch: 77 [7680/50000 (17%)]\tLoss: 0.173821, Accuracy: 94.53\n",
      "Train Epoch: 77 [10240/50000 (23%)]\tLoss: 0.178909, Accuracy: 93.36\n",
      "Train Epoch: 77 [12800/50000 (28%)]\tLoss: 0.241703, Accuracy: 91.21\n",
      "Train Epoch: 77 [15360/50000 (34%)]\tLoss: 0.191280, Accuracy: 94.14\n",
      "Train Epoch: 77 [17920/50000 (40%)]\tLoss: 0.181820, Accuracy: 92.77\n",
      "Train Epoch: 77 [20480/50000 (45%)]\tLoss: 0.232900, Accuracy: 91.21\n",
      "Train Epoch: 77 [23040/50000 (51%)]\tLoss: 0.148178, Accuracy: 94.73\n",
      "Train Epoch: 77 [25600/50000 (57%)]\tLoss: 0.173478, Accuracy: 93.55\n",
      "Train Epoch: 77 [28160/50000 (62%)]\tLoss: 0.170840, Accuracy: 93.95\n",
      "Train Epoch: 77 [30720/50000 (68%)]\tLoss: 0.156637, Accuracy: 94.73\n",
      "Train Epoch: 77 [33280/50000 (74%)]\tLoss: 0.153209, Accuracy: 93.75\n",
      "Train Epoch: 77 [35840/50000 (80%)]\tLoss: 0.211773, Accuracy: 92.58\n",
      "Train Epoch: 77 [38400/50000 (85%)]\tLoss: 0.203772, Accuracy: 91.99\n",
      "Train Epoch: 77 [40960/50000 (91%)]\tLoss: 0.210113, Accuracy: 92.77\n",
      "Train Epoch: 77 [43520/50000 (97%)]\tLoss: 0.212914, Accuracy: 93.55\n",
      "\n",
      "Validation set: Average loss: 0.5468, Accuracy: 4163/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.99097514152527 s]\n",
      "Train Epoch: 78 [0/50000 (0%)]\tLoss: 0.165151, Accuracy: 95.31\n",
      "Train Epoch: 78 [2560/50000 (6%)]\tLoss: 0.135894, Accuracy: 94.73\n",
      "Train Epoch: 78 [5120/50000 (11%)]\tLoss: 0.143147, Accuracy: 94.92\n",
      "Train Epoch: 78 [7680/50000 (17%)]\tLoss: 0.167376, Accuracy: 94.73\n",
      "Train Epoch: 78 [10240/50000 (23%)]\tLoss: 0.243912, Accuracy: 91.99\n",
      "Train Epoch: 78 [12800/50000 (28%)]\tLoss: 0.176328, Accuracy: 94.92\n",
      "Train Epoch: 78 [15360/50000 (34%)]\tLoss: 0.171403, Accuracy: 93.95\n",
      "Train Epoch: 78 [17920/50000 (40%)]\tLoss: 0.186611, Accuracy: 93.16\n",
      "Train Epoch: 78 [20480/50000 (45%)]\tLoss: 0.174112, Accuracy: 94.14\n",
      "Train Epoch: 78 [23040/50000 (51%)]\tLoss: 0.178479, Accuracy: 93.95\n",
      "Train Epoch: 78 [25600/50000 (57%)]\tLoss: 0.224569, Accuracy: 92.38\n",
      "Train Epoch: 78 [28160/50000 (62%)]\tLoss: 0.181763, Accuracy: 92.38\n",
      "Train Epoch: 78 [30720/50000 (68%)]\tLoss: 0.197473, Accuracy: 92.58\n",
      "Train Epoch: 78 [33280/50000 (74%)]\tLoss: 0.160225, Accuracy: 94.53\n",
      "Train Epoch: 78 [35840/50000 (80%)]\tLoss: 0.184666, Accuracy: 92.97\n",
      "Train Epoch: 78 [38400/50000 (85%)]\tLoss: 0.155092, Accuracy: 94.92\n",
      "Train Epoch: 78 [40960/50000 (91%)]\tLoss: 0.167521, Accuracy: 94.14\n",
      "Train Epoch: 78 [43520/50000 (97%)]\tLoss: 0.136391, Accuracy: 95.31\n",
      "\n",
      "Validation set: Average loss: 0.5400, Accuracy: 4207/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.964415550231934 s]\n",
      "Train Epoch: 79 [0/50000 (0%)]\tLoss: 0.165504, Accuracy: 94.34\n",
      "Train Epoch: 79 [2560/50000 (6%)]\tLoss: 0.196246, Accuracy: 93.75\n",
      "Train Epoch: 79 [5120/50000 (11%)]\tLoss: 0.166465, Accuracy: 94.34\n",
      "Train Epoch: 79 [7680/50000 (17%)]\tLoss: 0.152627, Accuracy: 95.90\n",
      "Train Epoch: 79 [10240/50000 (23%)]\tLoss: 0.204400, Accuracy: 92.38\n",
      "Train Epoch: 79 [12800/50000 (28%)]\tLoss: 0.179224, Accuracy: 93.75\n",
      "Train Epoch: 79 [15360/50000 (34%)]\tLoss: 0.171751, Accuracy: 93.55\n",
      "Train Epoch: 79 [17920/50000 (40%)]\tLoss: 0.204797, Accuracy: 93.55\n",
      "Train Epoch: 79 [20480/50000 (45%)]\tLoss: 0.234900, Accuracy: 91.60\n",
      "Train Epoch: 79 [23040/50000 (51%)]\tLoss: 0.185711, Accuracy: 94.34\n",
      "Train Epoch: 79 [25600/50000 (57%)]\tLoss: 0.169774, Accuracy: 92.38\n",
      "Train Epoch: 79 [28160/50000 (62%)]\tLoss: 0.192527, Accuracy: 92.97\n",
      "Train Epoch: 79 [30720/50000 (68%)]\tLoss: 0.161618, Accuracy: 94.53\n",
      "Train Epoch: 79 [33280/50000 (74%)]\tLoss: 0.148652, Accuracy: 93.95\n",
      "Train Epoch: 79 [35840/50000 (80%)]\tLoss: 0.239994, Accuracy: 92.38\n",
      "Train Epoch: 79 [38400/50000 (85%)]\tLoss: 0.194824, Accuracy: 92.38\n",
      "Train Epoch: 79 [40960/50000 (91%)]\tLoss: 0.206536, Accuracy: 91.02\n",
      "Train Epoch: 79 [43520/50000 (97%)]\tLoss: 0.224617, Accuracy: 92.19\n",
      "\n",
      "Validation set: Average loss: 0.4150, Accuracy: 4353/5000 (87.00%)\n",
      "\n",
      "the time of this epoch:[31.937286138534546 s]\n",
      "Train Epoch: 80 [0/50000 (0%)]\tLoss: 0.183681, Accuracy: 94.53\n",
      "Train Epoch: 80 [2560/50000 (6%)]\tLoss: 0.179241, Accuracy: 94.73\n",
      "Train Epoch: 80 [5120/50000 (11%)]\tLoss: 0.167902, Accuracy: 94.53\n",
      "Train Epoch: 80 [7680/50000 (17%)]\tLoss: 0.135355, Accuracy: 95.51\n",
      "Train Epoch: 80 [10240/50000 (23%)]\tLoss: 0.187726, Accuracy: 93.55\n",
      "Train Epoch: 80 [12800/50000 (28%)]\tLoss: 0.153062, Accuracy: 94.34\n",
      "Train Epoch: 80 [15360/50000 (34%)]\tLoss: 0.170092, Accuracy: 92.77\n",
      "Train Epoch: 80 [17920/50000 (40%)]\tLoss: 0.143758, Accuracy: 95.51\n",
      "Train Epoch: 80 [20480/50000 (45%)]\tLoss: 0.202338, Accuracy: 91.41\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 80 [23040/50000 (51%)]\tLoss: 0.203515, Accuracy: 92.97\n",
      "Train Epoch: 80 [25600/50000 (57%)]\tLoss: 0.198419, Accuracy: 93.75\n",
      "Train Epoch: 80 [28160/50000 (62%)]\tLoss: 0.212675, Accuracy: 92.38\n",
      "Train Epoch: 80 [30720/50000 (68%)]\tLoss: 0.197324, Accuracy: 92.58\n",
      "Train Epoch: 80 [33280/50000 (74%)]\tLoss: 0.192106, Accuracy: 93.55\n",
      "Train Epoch: 80 [35840/50000 (80%)]\tLoss: 0.198349, Accuracy: 93.36\n",
      "Train Epoch: 80 [38400/50000 (85%)]\tLoss: 0.217389, Accuracy: 92.19\n",
      "Train Epoch: 80 [40960/50000 (91%)]\tLoss: 0.164736, Accuracy: 94.14\n",
      "Train Epoch: 80 [43520/50000 (97%)]\tLoss: 0.187512, Accuracy: 93.95\n",
      "\n",
      "Validation set: Average loss: 0.5240, Accuracy: 4243/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.948081493377686 s]\n",
      "\n",
      "Test set: Average loss: 0.5158, Accuracy: 8494/10000 (84.94%)\n",
      "\n",
      "Train Epoch: 81 [0/50000 (0%)]\tLoss: 0.198424, Accuracy: 93.16\n",
      "Train Epoch: 81 [2560/50000 (6%)]\tLoss: 0.183135, Accuracy: 94.14\n",
      "Train Epoch: 81 [5120/50000 (11%)]\tLoss: 0.171151, Accuracy: 94.14\n",
      "Train Epoch: 81 [7680/50000 (17%)]\tLoss: 0.164712, Accuracy: 93.55\n",
      "Train Epoch: 81 [10240/50000 (23%)]\tLoss: 0.138063, Accuracy: 95.70\n",
      "Train Epoch: 81 [12800/50000 (28%)]\tLoss: 0.227910, Accuracy: 91.80\n",
      "Train Epoch: 81 [15360/50000 (34%)]\tLoss: 0.166036, Accuracy: 94.53\n",
      "Train Epoch: 81 [17920/50000 (40%)]\tLoss: 0.173907, Accuracy: 94.14\n",
      "Train Epoch: 81 [20480/50000 (45%)]\tLoss: 0.104890, Accuracy: 96.48\n",
      "Train Epoch: 81 [23040/50000 (51%)]\tLoss: 0.172335, Accuracy: 94.14\n",
      "Train Epoch: 81 [25600/50000 (57%)]\tLoss: 0.177573, Accuracy: 92.77\n",
      "Train Epoch: 81 [28160/50000 (62%)]\tLoss: 0.160818, Accuracy: 94.14\n",
      "Train Epoch: 81 [30720/50000 (68%)]\tLoss: 0.181035, Accuracy: 93.16\n",
      "Train Epoch: 81 [33280/50000 (74%)]\tLoss: 0.206098, Accuracy: 93.95\n",
      "Train Epoch: 81 [35840/50000 (80%)]\tLoss: 0.200740, Accuracy: 93.16\n",
      "Train Epoch: 81 [38400/50000 (85%)]\tLoss: 0.218711, Accuracy: 93.36\n",
      "Train Epoch: 81 [40960/50000 (91%)]\tLoss: 0.202126, Accuracy: 93.36\n",
      "Train Epoch: 81 [43520/50000 (97%)]\tLoss: 0.220480, Accuracy: 91.99\n",
      "\n",
      "Validation set: Average loss: 0.4610, Accuracy: 4308/5000 (86.00%)\n",
      "\n",
      "the time of this epoch:[34.701575756073 s]\n",
      "Train Epoch: 82 [0/50000 (0%)]\tLoss: 0.166086, Accuracy: 93.75\n",
      "Train Epoch: 82 [2560/50000 (6%)]\tLoss: 0.174578, Accuracy: 94.34\n",
      "Train Epoch: 82 [5120/50000 (11%)]\tLoss: 0.183883, Accuracy: 92.77\n",
      "Train Epoch: 82 [7680/50000 (17%)]\tLoss: 0.152823, Accuracy: 94.14\n",
      "Train Epoch: 82 [10240/50000 (23%)]\tLoss: 0.145065, Accuracy: 95.51\n",
      "Train Epoch: 82 [12800/50000 (28%)]\tLoss: 0.202270, Accuracy: 93.16\n",
      "Train Epoch: 82 [15360/50000 (34%)]\tLoss: 0.178738, Accuracy: 94.53\n",
      "Train Epoch: 82 [17920/50000 (40%)]\tLoss: 0.192989, Accuracy: 93.36\n",
      "Train Epoch: 82 [20480/50000 (45%)]\tLoss: 0.151458, Accuracy: 95.70\n",
      "Train Epoch: 82 [23040/50000 (51%)]\tLoss: 0.142977, Accuracy: 95.90\n",
      "Train Epoch: 82 [25600/50000 (57%)]\tLoss: 0.226547, Accuracy: 91.21\n",
      "Train Epoch: 82 [28160/50000 (62%)]\tLoss: 0.168769, Accuracy: 93.95\n",
      "Train Epoch: 82 [30720/50000 (68%)]\tLoss: 0.184495, Accuracy: 94.14\n",
      "Train Epoch: 82 [33280/50000 (74%)]\tLoss: 0.198334, Accuracy: 92.97\n",
      "Train Epoch: 82 [35840/50000 (80%)]\tLoss: 0.170524, Accuracy: 94.34\n",
      "Train Epoch: 82 [38400/50000 (85%)]\tLoss: 0.184852, Accuracy: 93.16\n",
      "Train Epoch: 82 [40960/50000 (91%)]\tLoss: 0.138900, Accuracy: 95.51\n",
      "Train Epoch: 82 [43520/50000 (97%)]\tLoss: 0.179504, Accuracy: 94.53\n",
      "\n",
      "Validation set: Average loss: 0.4179, Accuracy: 4352/5000 (87.00%)\n",
      "\n",
      "the time of this epoch:[31.903985023498535 s]\n",
      "Train Epoch: 83 [0/50000 (0%)]\tLoss: 0.129561, Accuracy: 95.90\n",
      "Train Epoch: 83 [2560/50000 (6%)]\tLoss: 0.119544, Accuracy: 95.51\n",
      "Train Epoch: 83 [5120/50000 (11%)]\tLoss: 0.145347, Accuracy: 94.92\n",
      "Train Epoch: 83 [7680/50000 (17%)]\tLoss: 0.171510, Accuracy: 94.34\n",
      "Train Epoch: 83 [10240/50000 (23%)]\tLoss: 0.178607, Accuracy: 93.55\n",
      "Train Epoch: 83 [12800/50000 (28%)]\tLoss: 0.116930, Accuracy: 96.48\n",
      "Train Epoch: 83 [15360/50000 (34%)]\tLoss: 0.170991, Accuracy: 92.77\n",
      "Train Epoch: 83 [17920/50000 (40%)]\tLoss: 0.127253, Accuracy: 95.31\n",
      "Train Epoch: 83 [20480/50000 (45%)]\tLoss: 0.192871, Accuracy: 93.75\n",
      "Train Epoch: 83 [23040/50000 (51%)]\tLoss: 0.207680, Accuracy: 93.95\n",
      "Train Epoch: 83 [25600/50000 (57%)]\tLoss: 0.197568, Accuracy: 94.53\n",
      "Train Epoch: 83 [28160/50000 (62%)]\tLoss: 0.160193, Accuracy: 94.92\n",
      "Train Epoch: 83 [30720/50000 (68%)]\tLoss: 0.178820, Accuracy: 92.97\n",
      "Train Epoch: 83 [33280/50000 (74%)]\tLoss: 0.154241, Accuracy: 94.92\n",
      "Train Epoch: 83 [35840/50000 (80%)]\tLoss: 0.172915, Accuracy: 93.95\n",
      "Train Epoch: 83 [38400/50000 (85%)]\tLoss: 0.175691, Accuracy: 94.14\n",
      "Train Epoch: 83 [40960/50000 (91%)]\tLoss: 0.218612, Accuracy: 92.77\n",
      "Train Epoch: 83 [43520/50000 (97%)]\tLoss: 0.252338, Accuracy: 91.21\n",
      "\n",
      "Validation set: Average loss: 0.4832, Accuracy: 4256/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.934407949447632 s]\n",
      "Train Epoch: 84 [0/50000 (0%)]\tLoss: 0.171042, Accuracy: 93.16\n",
      "Train Epoch: 84 [2560/50000 (6%)]\tLoss: 0.178897, Accuracy: 94.14\n",
      "Train Epoch: 84 [5120/50000 (11%)]\tLoss: 0.170883, Accuracy: 94.14\n",
      "Train Epoch: 84 [7680/50000 (17%)]\tLoss: 0.159490, Accuracy: 94.53\n",
      "Train Epoch: 84 [10240/50000 (23%)]\tLoss: 0.161503, Accuracy: 94.53\n",
      "Train Epoch: 84 [12800/50000 (28%)]\tLoss: 0.134505, Accuracy: 95.90\n",
      "Train Epoch: 84 [15360/50000 (34%)]\tLoss: 0.177221, Accuracy: 93.55\n",
      "Train Epoch: 84 [17920/50000 (40%)]\tLoss: 0.197740, Accuracy: 93.36\n",
      "Train Epoch: 84 [20480/50000 (45%)]\tLoss: 0.225161, Accuracy: 92.19\n",
      "Train Epoch: 84 [23040/50000 (51%)]\tLoss: 0.159749, Accuracy: 94.34\n",
      "Train Epoch: 84 [25600/50000 (57%)]\tLoss: 0.190021, Accuracy: 93.16\n",
      "Train Epoch: 84 [28160/50000 (62%)]\tLoss: 0.184302, Accuracy: 93.75\n",
      "Train Epoch: 84 [30720/50000 (68%)]\tLoss: 0.204821, Accuracy: 93.36\n",
      "Train Epoch: 84 [33280/50000 (74%)]\tLoss: 0.185494, Accuracy: 93.55\n",
      "Train Epoch: 84 [35840/50000 (80%)]\tLoss: 0.215313, Accuracy: 92.58\n",
      "Train Epoch: 84 [38400/50000 (85%)]\tLoss: 0.131104, Accuracy: 94.92\n",
      "Train Epoch: 84 [40960/50000 (91%)]\tLoss: 0.235963, Accuracy: 91.80\n",
      "Train Epoch: 84 [43520/50000 (97%)]\tLoss: 0.233049, Accuracy: 91.80\n",
      "\n",
      "Validation set: Average loss: 0.5814, Accuracy: 4154/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.98548197746277 s]\n",
      "Train Epoch: 85 [0/50000 (0%)]\tLoss: 0.163777, Accuracy: 94.34\n",
      "Train Epoch: 85 [2560/50000 (6%)]\tLoss: 0.169686, Accuracy: 95.12\n",
      "Train Epoch: 85 [5120/50000 (11%)]\tLoss: 0.118506, Accuracy: 97.07\n",
      "Train Epoch: 85 [7680/50000 (17%)]\tLoss: 0.150862, Accuracy: 95.51\n",
      "Train Epoch: 85 [10240/50000 (23%)]\tLoss: 0.154662, Accuracy: 94.34\n",
      "Train Epoch: 85 [12800/50000 (28%)]\tLoss: 0.169456, Accuracy: 92.77\n",
      "Train Epoch: 85 [15360/50000 (34%)]\tLoss: 0.114816, Accuracy: 96.29\n",
      "Train Epoch: 85 [17920/50000 (40%)]\tLoss: 0.211701, Accuracy: 91.80\n",
      "Train Epoch: 85 [20480/50000 (45%)]\tLoss: 0.153507, Accuracy: 94.14\n",
      "Train Epoch: 85 [23040/50000 (51%)]\tLoss: 0.152958, Accuracy: 94.53\n",
      "Train Epoch: 85 [25600/50000 (57%)]\tLoss: 0.186600, Accuracy: 93.36\n",
      "Train Epoch: 85 [28160/50000 (62%)]\tLoss: 0.214626, Accuracy: 91.80\n",
      "Train Epoch: 85 [30720/50000 (68%)]\tLoss: 0.221272, Accuracy: 93.36\n",
      "Train Epoch: 85 [33280/50000 (74%)]\tLoss: 0.227421, Accuracy: 91.21\n",
      "Train Epoch: 85 [35840/50000 (80%)]\tLoss: 0.159040, Accuracy: 95.12\n",
      "Train Epoch: 85 [38400/50000 (85%)]\tLoss: 0.212809, Accuracy: 94.14\n",
      "Train Epoch: 85 [40960/50000 (91%)]\tLoss: 0.218494, Accuracy: 92.38\n",
      "Train Epoch: 85 [43520/50000 (97%)]\tLoss: 0.176770, Accuracy: 94.34\n",
      "\n",
      "Validation set: Average loss: 0.6116, Accuracy: 4090/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[31.935259342193604 s]\n",
      "Train Epoch: 86 [0/50000 (0%)]\tLoss: 0.151158, Accuracy: 94.53\n",
      "Train Epoch: 86 [2560/50000 (6%)]\tLoss: 0.180000, Accuracy: 93.95\n",
      "Train Epoch: 86 [5120/50000 (11%)]\tLoss: 0.163028, Accuracy: 93.75\n",
      "Train Epoch: 86 [7680/50000 (17%)]\tLoss: 0.189156, Accuracy: 94.34\n",
      "Train Epoch: 86 [10240/50000 (23%)]\tLoss: 0.198603, Accuracy: 93.95\n",
      "Train Epoch: 86 [12800/50000 (28%)]\tLoss: 0.190544, Accuracy: 94.14\n",
      "Train Epoch: 86 [15360/50000 (34%)]\tLoss: 0.210614, Accuracy: 92.77\n",
      "Train Epoch: 86 [17920/50000 (40%)]\tLoss: 0.210025, Accuracy: 92.97\n",
      "Train Epoch: 86 [20480/50000 (45%)]\tLoss: 0.198550, Accuracy: 93.16\n",
      "Train Epoch: 86 [23040/50000 (51%)]\tLoss: 0.190405, Accuracy: 94.34\n",
      "Train Epoch: 86 [25600/50000 (57%)]\tLoss: 0.157798, Accuracy: 93.95\n",
      "Train Epoch: 86 [28160/50000 (62%)]\tLoss: 0.218916, Accuracy: 92.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 86 [30720/50000 (68%)]\tLoss: 0.218527, Accuracy: 91.80\n",
      "Train Epoch: 86 [33280/50000 (74%)]\tLoss: 0.194149, Accuracy: 93.95\n",
      "Train Epoch: 86 [35840/50000 (80%)]\tLoss: 0.190458, Accuracy: 92.38\n",
      "Train Epoch: 86 [38400/50000 (85%)]\tLoss: 0.143113, Accuracy: 95.70\n",
      "Train Epoch: 86 [40960/50000 (91%)]\tLoss: 0.194321, Accuracy: 93.16\n",
      "Train Epoch: 86 [43520/50000 (97%)]\tLoss: 0.192561, Accuracy: 92.97\n",
      "\n",
      "Validation set: Average loss: 0.5449, Accuracy: 4209/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.962571144104004 s]\n",
      "Train Epoch: 87 [0/50000 (0%)]\tLoss: 0.180458, Accuracy: 95.31\n",
      "Train Epoch: 87 [2560/50000 (6%)]\tLoss: 0.158357, Accuracy: 94.53\n",
      "Train Epoch: 87 [5120/50000 (11%)]\tLoss: 0.172409, Accuracy: 93.75\n",
      "Train Epoch: 87 [7680/50000 (17%)]\tLoss: 0.165831, Accuracy: 94.53\n",
      "Train Epoch: 87 [10240/50000 (23%)]\tLoss: 0.189441, Accuracy: 93.55\n",
      "Train Epoch: 87 [12800/50000 (28%)]\tLoss: 0.208163, Accuracy: 93.36\n",
      "Train Epoch: 87 [15360/50000 (34%)]\tLoss: 0.183074, Accuracy: 93.36\n",
      "Train Epoch: 87 [17920/50000 (40%)]\tLoss: 0.183059, Accuracy: 94.14\n",
      "Train Epoch: 87 [20480/50000 (45%)]\tLoss: 0.251796, Accuracy: 92.38\n",
      "Train Epoch: 87 [23040/50000 (51%)]\tLoss: 0.174563, Accuracy: 93.16\n",
      "Train Epoch: 87 [25600/50000 (57%)]\tLoss: 0.237360, Accuracy: 91.99\n",
      "Train Epoch: 87 [28160/50000 (62%)]\tLoss: 0.195359, Accuracy: 92.77\n",
      "Train Epoch: 87 [30720/50000 (68%)]\tLoss: 0.191111, Accuracy: 92.58\n",
      "Train Epoch: 87 [33280/50000 (74%)]\tLoss: 0.251998, Accuracy: 91.41\n",
      "Train Epoch: 87 [35840/50000 (80%)]\tLoss: 0.218147, Accuracy: 92.58\n",
      "Train Epoch: 87 [38400/50000 (85%)]\tLoss: 0.165655, Accuracy: 95.12\n",
      "Train Epoch: 87 [40960/50000 (91%)]\tLoss: 0.218174, Accuracy: 91.02\n",
      "Train Epoch: 87 [43520/50000 (97%)]\tLoss: 0.179478, Accuracy: 94.14\n",
      "\n",
      "Validation set: Average loss: 0.5188, Accuracy: 4215/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.979780912399292 s]\n",
      "Train Epoch: 88 [0/50000 (0%)]\tLoss: 0.165011, Accuracy: 93.55\n",
      "Train Epoch: 88 [2560/50000 (6%)]\tLoss: 0.200834, Accuracy: 93.95\n",
      "Train Epoch: 88 [5120/50000 (11%)]\tLoss: 0.182475, Accuracy: 93.75\n",
      "Train Epoch: 88 [7680/50000 (17%)]\tLoss: 0.222849, Accuracy: 91.60\n",
      "Train Epoch: 88 [10240/50000 (23%)]\tLoss: 0.209387, Accuracy: 92.38\n",
      "Train Epoch: 88 [12800/50000 (28%)]\tLoss: 0.232104, Accuracy: 91.80\n",
      "Train Epoch: 88 [15360/50000 (34%)]\tLoss: 0.204586, Accuracy: 92.97\n",
      "Train Epoch: 88 [17920/50000 (40%)]\tLoss: 0.160289, Accuracy: 94.34\n",
      "Train Epoch: 88 [20480/50000 (45%)]\tLoss: 0.147007, Accuracy: 94.53\n",
      "Train Epoch: 88 [23040/50000 (51%)]\tLoss: 0.165699, Accuracy: 94.14\n",
      "Train Epoch: 88 [25600/50000 (57%)]\tLoss: 0.229806, Accuracy: 93.16\n",
      "Train Epoch: 88 [28160/50000 (62%)]\tLoss: 0.202249, Accuracy: 93.36\n",
      "Train Epoch: 88 [30720/50000 (68%)]\tLoss: 0.188616, Accuracy: 94.34\n",
      "Train Epoch: 88 [33280/50000 (74%)]\tLoss: 0.166030, Accuracy: 93.95\n",
      "Train Epoch: 88 [35840/50000 (80%)]\tLoss: 0.168631, Accuracy: 94.14\n",
      "Train Epoch: 88 [38400/50000 (85%)]\tLoss: 0.175828, Accuracy: 93.36\n",
      "Train Epoch: 88 [40960/50000 (91%)]\tLoss: 0.206344, Accuracy: 93.95\n",
      "Train Epoch: 88 [43520/50000 (97%)]\tLoss: 0.172009, Accuracy: 94.34\n",
      "\n",
      "Validation set: Average loss: 0.8131, Accuracy: 3882/5000 (77.00%)\n",
      "\n",
      "the time of this epoch:[31.937602996826172 s]\n",
      "Train Epoch: 89 [0/50000 (0%)]\tLoss: 0.211228, Accuracy: 92.77\n",
      "Train Epoch: 89 [2560/50000 (6%)]\tLoss: 0.193521, Accuracy: 93.36\n",
      "Train Epoch: 89 [5120/50000 (11%)]\tLoss: 0.168477, Accuracy: 94.14\n",
      "Train Epoch: 89 [7680/50000 (17%)]\tLoss: 0.122565, Accuracy: 95.90\n",
      "Train Epoch: 89 [10240/50000 (23%)]\tLoss: 0.176232, Accuracy: 93.95\n",
      "Train Epoch: 89 [12800/50000 (28%)]\tLoss: 0.183453, Accuracy: 93.55\n",
      "Train Epoch: 89 [15360/50000 (34%)]\tLoss: 0.186804, Accuracy: 94.53\n",
      "Train Epoch: 89 [17920/50000 (40%)]\tLoss: 0.196103, Accuracy: 92.97\n",
      "Train Epoch: 89 [20480/50000 (45%)]\tLoss: 0.220811, Accuracy: 93.36\n",
      "Train Epoch: 89 [23040/50000 (51%)]\tLoss: 0.126005, Accuracy: 95.90\n",
      "Train Epoch: 89 [25600/50000 (57%)]\tLoss: 0.197129, Accuracy: 92.77\n",
      "Train Epoch: 89 [28160/50000 (62%)]\tLoss: 0.212475, Accuracy: 93.55\n",
      "Train Epoch: 89 [30720/50000 (68%)]\tLoss: 0.257023, Accuracy: 91.21\n",
      "Train Epoch: 89 [33280/50000 (74%)]\tLoss: 0.223778, Accuracy: 92.97\n",
      "Train Epoch: 89 [35840/50000 (80%)]\tLoss: 0.169386, Accuracy: 93.36\n",
      "Train Epoch: 89 [38400/50000 (85%)]\tLoss: 0.203458, Accuracy: 93.16\n",
      "Train Epoch: 89 [40960/50000 (91%)]\tLoss: 0.185823, Accuracy: 93.75\n",
      "Train Epoch: 89 [43520/50000 (97%)]\tLoss: 0.236896, Accuracy: 91.60\n",
      "\n",
      "Validation set: Average loss: 0.5290, Accuracy: 4235/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.928292274475098 s]\n",
      "Train Epoch: 90 [0/50000 (0%)]\tLoss: 0.159431, Accuracy: 95.12\n",
      "Train Epoch: 90 [2560/50000 (6%)]\tLoss: 0.168541, Accuracy: 92.97\n",
      "Train Epoch: 90 [5120/50000 (11%)]\tLoss: 0.186418, Accuracy: 92.97\n",
      "Train Epoch: 90 [7680/50000 (17%)]\tLoss: 0.158172, Accuracy: 94.34\n",
      "Train Epoch: 90 [10240/50000 (23%)]\tLoss: 0.168032, Accuracy: 94.34\n",
      "Train Epoch: 90 [12800/50000 (28%)]\tLoss: 0.169890, Accuracy: 94.34\n",
      "Train Epoch: 90 [15360/50000 (34%)]\tLoss: 0.172534, Accuracy: 93.75\n",
      "Train Epoch: 90 [17920/50000 (40%)]\tLoss: 0.177050, Accuracy: 93.36\n",
      "Train Epoch: 90 [20480/50000 (45%)]\tLoss: 0.170534, Accuracy: 94.14\n",
      "Train Epoch: 90 [23040/50000 (51%)]\tLoss: 0.163370, Accuracy: 93.95\n",
      "Train Epoch: 90 [25600/50000 (57%)]\tLoss: 0.199218, Accuracy: 93.55\n",
      "Train Epoch: 90 [28160/50000 (62%)]\tLoss: 0.170257, Accuracy: 94.34\n",
      "Train Epoch: 90 [30720/50000 (68%)]\tLoss: 0.196018, Accuracy: 93.36\n",
      "Train Epoch: 90 [33280/50000 (74%)]\tLoss: 0.196676, Accuracy: 93.16\n",
      "Train Epoch: 90 [35840/50000 (80%)]\tLoss: 0.164261, Accuracy: 94.34\n",
      "Train Epoch: 90 [38400/50000 (85%)]\tLoss: 0.197965, Accuracy: 92.77\n",
      "Train Epoch: 90 [40960/50000 (91%)]\tLoss: 0.194803, Accuracy: 92.77\n",
      "Train Epoch: 90 [43520/50000 (97%)]\tLoss: 0.188109, Accuracy: 94.14\n",
      "\n",
      "Validation set: Average loss: 0.5385, Accuracy: 4195/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[31.935551166534424 s]\n",
      "\n",
      "Test set: Average loss: 0.5482, Accuracy: 8363/10000 (83.63%)\n",
      "\n",
      "Train Epoch: 91 [0/50000 (0%)]\tLoss: 0.155978, Accuracy: 94.92\n",
      "Train Epoch: 91 [2560/50000 (6%)]\tLoss: 0.176130, Accuracy: 94.73\n",
      "Train Epoch: 91 [5120/50000 (11%)]\tLoss: 0.135104, Accuracy: 95.12\n",
      "Train Epoch: 91 [7680/50000 (17%)]\tLoss: 0.151893, Accuracy: 95.70\n",
      "Train Epoch: 91 [10240/50000 (23%)]\tLoss: 0.144306, Accuracy: 95.51\n",
      "Train Epoch: 91 [12800/50000 (28%)]\tLoss: 0.180872, Accuracy: 94.14\n",
      "Train Epoch: 91 [15360/50000 (34%)]\tLoss: 0.185148, Accuracy: 92.77\n",
      "Train Epoch: 91 [17920/50000 (40%)]\tLoss: 0.175955, Accuracy: 93.36\n",
      "Train Epoch: 91 [20480/50000 (45%)]\tLoss: 0.238237, Accuracy: 92.77\n",
      "Train Epoch: 91 [23040/50000 (51%)]\tLoss: 0.189926, Accuracy: 92.77\n",
      "Train Epoch: 91 [25600/50000 (57%)]\tLoss: 0.155590, Accuracy: 94.14\n",
      "Train Epoch: 91 [28160/50000 (62%)]\tLoss: 0.177140, Accuracy: 94.34\n",
      "Train Epoch: 91 [30720/50000 (68%)]\tLoss: 0.145900, Accuracy: 94.92\n",
      "Train Epoch: 91 [33280/50000 (74%)]\tLoss: 0.153238, Accuracy: 94.14\n",
      "Train Epoch: 91 [35840/50000 (80%)]\tLoss: 0.145760, Accuracy: 95.31\n",
      "Train Epoch: 91 [38400/50000 (85%)]\tLoss: 0.214010, Accuracy: 93.55\n",
      "Train Epoch: 91 [40960/50000 (91%)]\tLoss: 0.175478, Accuracy: 93.55\n",
      "Train Epoch: 91 [43520/50000 (97%)]\tLoss: 0.240850, Accuracy: 91.21\n",
      "\n",
      "Validation set: Average loss: 0.7479, Accuracy: 3961/5000 (79.00%)\n",
      "\n",
      "the time of this epoch:[34.83870196342468 s]\n",
      "Train Epoch: 92 [0/50000 (0%)]\tLoss: 0.139546, Accuracy: 94.53\n",
      "Train Epoch: 92 [2560/50000 (6%)]\tLoss: 0.233750, Accuracy: 91.60\n",
      "Train Epoch: 92 [5120/50000 (11%)]\tLoss: 0.194586, Accuracy: 92.97\n",
      "Train Epoch: 92 [7680/50000 (17%)]\tLoss: 0.152900, Accuracy: 94.53\n",
      "Train Epoch: 92 [10240/50000 (23%)]\tLoss: 0.178639, Accuracy: 94.73\n",
      "Train Epoch: 92 [12800/50000 (28%)]\tLoss: 0.158858, Accuracy: 94.92\n",
      "Train Epoch: 92 [15360/50000 (34%)]\tLoss: 0.137506, Accuracy: 94.92\n",
      "Train Epoch: 92 [17920/50000 (40%)]\tLoss: 0.204244, Accuracy: 92.58\n",
      "Train Epoch: 92 [20480/50000 (45%)]\tLoss: 0.165653, Accuracy: 94.73\n",
      "Train Epoch: 92 [23040/50000 (51%)]\tLoss: 0.139744, Accuracy: 95.70\n",
      "Train Epoch: 92 [25600/50000 (57%)]\tLoss: 0.161172, Accuracy: 94.92\n",
      "Train Epoch: 92 [28160/50000 (62%)]\tLoss: 0.237854, Accuracy: 91.21\n",
      "Train Epoch: 92 [30720/50000 (68%)]\tLoss: 0.136456, Accuracy: 96.29\n",
      "Train Epoch: 92 [33280/50000 (74%)]\tLoss: 0.186964, Accuracy: 92.97\n",
      "Train Epoch: 92 [35840/50000 (80%)]\tLoss: 0.137797, Accuracy: 94.34\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 92 [38400/50000 (85%)]\tLoss: 0.160760, Accuracy: 94.34\n",
      "Train Epoch: 92 [40960/50000 (91%)]\tLoss: 0.186075, Accuracy: 94.53\n",
      "Train Epoch: 92 [43520/50000 (97%)]\tLoss: 0.163567, Accuracy: 93.75\n",
      "\n",
      "Validation set: Average loss: 0.7766, Accuracy: 3927/5000 (78.00%)\n",
      "\n",
      "the time of this epoch:[31.929730653762817 s]\n",
      "Train Epoch: 93 [0/50000 (0%)]\tLoss: 0.184489, Accuracy: 94.34\n",
      "Train Epoch: 93 [2560/50000 (6%)]\tLoss: 0.208454, Accuracy: 92.77\n",
      "Train Epoch: 93 [5120/50000 (11%)]\tLoss: 0.173491, Accuracy: 93.95\n",
      "Train Epoch: 93 [7680/50000 (17%)]\tLoss: 0.107461, Accuracy: 96.48\n",
      "Train Epoch: 93 [10240/50000 (23%)]\tLoss: 0.140043, Accuracy: 94.73\n",
      "Train Epoch: 93 [12800/50000 (28%)]\tLoss: 0.171816, Accuracy: 93.95\n",
      "Train Epoch: 93 [15360/50000 (34%)]\tLoss: 0.190331, Accuracy: 93.55\n",
      "Train Epoch: 93 [17920/50000 (40%)]\tLoss: 0.189755, Accuracy: 93.55\n",
      "Train Epoch: 93 [20480/50000 (45%)]\tLoss: 0.216137, Accuracy: 92.38\n",
      "Train Epoch: 93 [23040/50000 (51%)]\tLoss: 0.152217, Accuracy: 93.95\n",
      "Train Epoch: 93 [25600/50000 (57%)]\tLoss: 0.189681, Accuracy: 93.36\n",
      "Train Epoch: 93 [28160/50000 (62%)]\tLoss: 0.190205, Accuracy: 93.36\n",
      "Train Epoch: 93 [30720/50000 (68%)]\tLoss: 0.201404, Accuracy: 92.58\n",
      "Train Epoch: 93 [33280/50000 (74%)]\tLoss: 0.201270, Accuracy: 93.16\n",
      "Train Epoch: 93 [35840/50000 (80%)]\tLoss: 0.161913, Accuracy: 94.73\n",
      "Train Epoch: 93 [38400/50000 (85%)]\tLoss: 0.151649, Accuracy: 94.73\n",
      "Train Epoch: 93 [40960/50000 (91%)]\tLoss: 0.222918, Accuracy: 93.16\n",
      "Train Epoch: 93 [43520/50000 (97%)]\tLoss: 0.201447, Accuracy: 92.97\n",
      "\n",
      "Validation set: Average loss: 0.5427, Accuracy: 4208/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.957860231399536 s]\n",
      "Train Epoch: 94 [0/50000 (0%)]\tLoss: 0.161364, Accuracy: 94.53\n",
      "Train Epoch: 94 [2560/50000 (6%)]\tLoss: 0.150618, Accuracy: 94.73\n",
      "Train Epoch: 94 [5120/50000 (11%)]\tLoss: 0.168904, Accuracy: 94.34\n",
      "Train Epoch: 94 [7680/50000 (17%)]\tLoss: 0.147707, Accuracy: 94.34\n",
      "Train Epoch: 94 [10240/50000 (23%)]\tLoss: 0.177585, Accuracy: 94.14\n",
      "Train Epoch: 94 [12800/50000 (28%)]\tLoss: 0.141136, Accuracy: 95.90\n",
      "Train Epoch: 94 [15360/50000 (34%)]\tLoss: 0.212538, Accuracy: 92.58\n",
      "Train Epoch: 94 [17920/50000 (40%)]\tLoss: 0.120515, Accuracy: 94.92\n",
      "Train Epoch: 94 [20480/50000 (45%)]\tLoss: 0.125489, Accuracy: 96.09\n",
      "Train Epoch: 94 [23040/50000 (51%)]\tLoss: 0.228585, Accuracy: 91.21\n",
      "Train Epoch: 94 [25600/50000 (57%)]\tLoss: 0.181836, Accuracy: 93.95\n",
      "Train Epoch: 94 [28160/50000 (62%)]\tLoss: 0.202578, Accuracy: 93.36\n",
      "Train Epoch: 94 [30720/50000 (68%)]\tLoss: 0.188019, Accuracy: 93.55\n",
      "Train Epoch: 94 [33280/50000 (74%)]\tLoss: 0.200874, Accuracy: 94.14\n",
      "Train Epoch: 94 [35840/50000 (80%)]\tLoss: 0.144983, Accuracy: 94.73\n",
      "Train Epoch: 94 [38400/50000 (85%)]\tLoss: 0.157189, Accuracy: 93.75\n",
      "Train Epoch: 94 [40960/50000 (91%)]\tLoss: 0.179915, Accuracy: 93.95\n",
      "Train Epoch: 94 [43520/50000 (97%)]\tLoss: 0.275338, Accuracy: 90.23\n",
      "\n",
      "Validation set: Average loss: 0.4925, Accuracy: 4256/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.94522500038147 s]\n",
      "Train Epoch: 95 [0/50000 (0%)]\tLoss: 0.146679, Accuracy: 94.34\n",
      "Train Epoch: 95 [2560/50000 (6%)]\tLoss: 0.217463, Accuracy: 92.38\n",
      "Train Epoch: 95 [5120/50000 (11%)]\tLoss: 0.181816, Accuracy: 93.75\n",
      "Train Epoch: 95 [7680/50000 (17%)]\tLoss: 0.184924, Accuracy: 93.55\n",
      "Train Epoch: 95 [10240/50000 (23%)]\tLoss: 0.149669, Accuracy: 95.31\n",
      "Train Epoch: 95 [12800/50000 (28%)]\tLoss: 0.202218, Accuracy: 93.16\n",
      "Train Epoch: 95 [15360/50000 (34%)]\tLoss: 0.184743, Accuracy: 93.55\n",
      "Train Epoch: 95 [17920/50000 (40%)]\tLoss: 0.228098, Accuracy: 91.99\n",
      "Train Epoch: 95 [20480/50000 (45%)]\tLoss: 0.176246, Accuracy: 93.55\n",
      "Train Epoch: 95 [23040/50000 (51%)]\tLoss: 0.192787, Accuracy: 92.97\n",
      "Train Epoch: 95 [25600/50000 (57%)]\tLoss: 0.203293, Accuracy: 92.97\n",
      "Train Epoch: 95 [28160/50000 (62%)]\tLoss: 0.165606, Accuracy: 94.73\n",
      "Train Epoch: 95 [30720/50000 (68%)]\tLoss: 0.197992, Accuracy: 93.36\n",
      "Train Epoch: 95 [33280/50000 (74%)]\tLoss: 0.218344, Accuracy: 91.99\n",
      "Train Epoch: 95 [35840/50000 (80%)]\tLoss: 0.198137, Accuracy: 92.97\n",
      "Train Epoch: 95 [38400/50000 (85%)]\tLoss: 0.152118, Accuracy: 95.51\n",
      "Train Epoch: 95 [40960/50000 (91%)]\tLoss: 0.216259, Accuracy: 92.58\n",
      "Train Epoch: 95 [43520/50000 (97%)]\tLoss: 0.164856, Accuracy: 94.34\n",
      "\n",
      "Validation set: Average loss: 0.5236, Accuracy: 4235/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.98919153213501 s]\n",
      "Train Epoch: 96 [0/50000 (0%)]\tLoss: 0.159271, Accuracy: 94.73\n",
      "Train Epoch: 96 [2560/50000 (6%)]\tLoss: 0.185313, Accuracy: 92.77\n",
      "Train Epoch: 96 [5120/50000 (11%)]\tLoss: 0.170887, Accuracy: 93.95\n",
      "Train Epoch: 96 [7680/50000 (17%)]\tLoss: 0.168710, Accuracy: 94.34\n",
      "Train Epoch: 96 [10240/50000 (23%)]\tLoss: 0.157948, Accuracy: 94.73\n",
      "Train Epoch: 96 [12800/50000 (28%)]\tLoss: 0.198914, Accuracy: 92.77\n",
      "Train Epoch: 96 [15360/50000 (34%)]\tLoss: 0.204841, Accuracy: 93.36\n",
      "Train Epoch: 96 [17920/50000 (40%)]\tLoss: 0.156573, Accuracy: 94.92\n",
      "Train Epoch: 96 [20480/50000 (45%)]\tLoss: 0.205562, Accuracy: 92.58\n",
      "Train Epoch: 96 [23040/50000 (51%)]\tLoss: 0.205638, Accuracy: 91.41\n",
      "Train Epoch: 96 [25600/50000 (57%)]\tLoss: 0.161861, Accuracy: 94.92\n",
      "Train Epoch: 96 [28160/50000 (62%)]\tLoss: 0.237108, Accuracy: 92.38\n",
      "Train Epoch: 96 [30720/50000 (68%)]\tLoss: 0.169264, Accuracy: 93.95\n",
      "Train Epoch: 96 [33280/50000 (74%)]\tLoss: 0.207331, Accuracy: 92.97\n",
      "Train Epoch: 96 [35840/50000 (80%)]\tLoss: 0.162755, Accuracy: 94.73\n",
      "Train Epoch: 96 [38400/50000 (85%)]\tLoss: 0.239160, Accuracy: 91.60\n",
      "Train Epoch: 96 [40960/50000 (91%)]\tLoss: 0.108025, Accuracy: 95.90\n",
      "Train Epoch: 96 [43520/50000 (97%)]\tLoss: 0.116954, Accuracy: 96.88\n",
      "\n",
      "Validation set: Average loss: 0.5281, Accuracy: 4223/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.935338020324707 s]\n",
      "Train Epoch: 97 [0/50000 (0%)]\tLoss: 0.152744, Accuracy: 95.12\n",
      "Train Epoch: 97 [2560/50000 (6%)]\tLoss: 0.117126, Accuracy: 96.09\n",
      "Train Epoch: 97 [5120/50000 (11%)]\tLoss: 0.155333, Accuracy: 94.34\n",
      "Train Epoch: 97 [7680/50000 (17%)]\tLoss: 0.163190, Accuracy: 93.75\n",
      "Train Epoch: 97 [10240/50000 (23%)]\tLoss: 0.165377, Accuracy: 94.73\n",
      "Train Epoch: 97 [12800/50000 (28%)]\tLoss: 0.153087, Accuracy: 95.12\n",
      "Train Epoch: 97 [15360/50000 (34%)]\tLoss: 0.119226, Accuracy: 95.70\n",
      "Train Epoch: 97 [17920/50000 (40%)]\tLoss: 0.185190, Accuracy: 92.97\n",
      "Train Epoch: 97 [20480/50000 (45%)]\tLoss: 0.215123, Accuracy: 92.38\n",
      "Train Epoch: 97 [23040/50000 (51%)]\tLoss: 0.174145, Accuracy: 93.36\n",
      "Train Epoch: 97 [25600/50000 (57%)]\tLoss: 0.208996, Accuracy: 93.95\n",
      "Train Epoch: 97 [28160/50000 (62%)]\tLoss: 0.165551, Accuracy: 93.36\n",
      "Train Epoch: 97 [30720/50000 (68%)]\tLoss: 0.223636, Accuracy: 91.60\n",
      "Train Epoch: 97 [33280/50000 (74%)]\tLoss: 0.221999, Accuracy: 92.97\n",
      "Train Epoch: 97 [35840/50000 (80%)]\tLoss: 0.162098, Accuracy: 93.36\n",
      "Train Epoch: 97 [38400/50000 (85%)]\tLoss: 0.171602, Accuracy: 94.53\n",
      "Train Epoch: 97 [40960/50000 (91%)]\tLoss: 0.211220, Accuracy: 92.19\n",
      "Train Epoch: 97 [43520/50000 (97%)]\tLoss: 0.177633, Accuracy: 93.36\n",
      "\n",
      "Validation set: Average loss: 0.5007, Accuracy: 4242/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.9433753490448 s]\n",
      "Train Epoch: 98 [0/50000 (0%)]\tLoss: 0.156262, Accuracy: 94.34\n",
      "Train Epoch: 98 [2560/50000 (6%)]\tLoss: 0.189914, Accuracy: 92.97\n",
      "Train Epoch: 98 [5120/50000 (11%)]\tLoss: 0.158838, Accuracy: 93.75\n",
      "Train Epoch: 98 [7680/50000 (17%)]\tLoss: 0.168112, Accuracy: 94.14\n",
      "Train Epoch: 98 [10240/50000 (23%)]\tLoss: 0.195804, Accuracy: 91.41\n",
      "Train Epoch: 98 [12800/50000 (28%)]\tLoss: 0.168585, Accuracy: 92.97\n",
      "Train Epoch: 98 [15360/50000 (34%)]\tLoss: 0.170811, Accuracy: 93.16\n",
      "Train Epoch: 98 [17920/50000 (40%)]\tLoss: 0.138063, Accuracy: 94.73\n",
      "Train Epoch: 98 [20480/50000 (45%)]\tLoss: 0.159909, Accuracy: 94.53\n",
      "Train Epoch: 98 [23040/50000 (51%)]\tLoss: 0.217969, Accuracy: 93.16\n",
      "Train Epoch: 98 [25600/50000 (57%)]\tLoss: 0.219244, Accuracy: 92.19\n",
      "Train Epoch: 98 [28160/50000 (62%)]\tLoss: 0.206582, Accuracy: 92.19\n",
      "Train Epoch: 98 [30720/50000 (68%)]\tLoss: 0.199804, Accuracy: 93.55\n",
      "Train Epoch: 98 [33280/50000 (74%)]\tLoss: 0.168031, Accuracy: 94.14\n",
      "Train Epoch: 98 [35840/50000 (80%)]\tLoss: 0.210764, Accuracy: 93.36\n",
      "Train Epoch: 98 [38400/50000 (85%)]\tLoss: 0.231662, Accuracy: 92.38\n",
      "Train Epoch: 98 [40960/50000 (91%)]\tLoss: 0.234004, Accuracy: 91.21\n",
      "Train Epoch: 98 [43520/50000 (97%)]\tLoss: 0.210225, Accuracy: 93.36\n",
      "\n",
      "Validation set: Average loss: 0.4221, Accuracy: 4334/5000 (86.00%)\n",
      "\n",
      "the time of this epoch:[31.942379236221313 s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 99 [0/50000 (0%)]\tLoss: 0.160340, Accuracy: 94.92\n",
      "Train Epoch: 99 [2560/50000 (6%)]\tLoss: 0.151871, Accuracy: 93.55\n",
      "Train Epoch: 99 [5120/50000 (11%)]\tLoss: 0.169438, Accuracy: 93.95\n",
      "Train Epoch: 99 [7680/50000 (17%)]\tLoss: 0.174254, Accuracy: 93.55\n",
      "Train Epoch: 99 [10240/50000 (23%)]\tLoss: 0.122110, Accuracy: 95.31\n",
      "Train Epoch: 99 [12800/50000 (28%)]\tLoss: 0.122750, Accuracy: 96.09\n",
      "Train Epoch: 99 [15360/50000 (34%)]\tLoss: 0.101258, Accuracy: 96.68\n",
      "Train Epoch: 99 [17920/50000 (40%)]\tLoss: 0.224588, Accuracy: 92.97\n",
      "Train Epoch: 99 [20480/50000 (45%)]\tLoss: 0.236713, Accuracy: 92.19\n",
      "Train Epoch: 99 [23040/50000 (51%)]\tLoss: 0.168087, Accuracy: 94.73\n",
      "Train Epoch: 99 [25600/50000 (57%)]\tLoss: 0.167643, Accuracy: 93.55\n",
      "Train Epoch: 99 [28160/50000 (62%)]\tLoss: 0.190773, Accuracy: 94.34\n",
      "Train Epoch: 99 [30720/50000 (68%)]\tLoss: 0.137525, Accuracy: 95.12\n",
      "Train Epoch: 99 [33280/50000 (74%)]\tLoss: 0.160886, Accuracy: 95.12\n",
      "Train Epoch: 99 [35840/50000 (80%)]\tLoss: 0.205226, Accuracy: 93.95\n",
      "Train Epoch: 99 [38400/50000 (85%)]\tLoss: 0.173358, Accuracy: 93.55\n",
      "Train Epoch: 99 [40960/50000 (91%)]\tLoss: 0.150611, Accuracy: 94.14\n",
      "Train Epoch: 99 [43520/50000 (97%)]\tLoss: 0.210140, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.4305, Accuracy: 4311/5000 (86.00%)\n",
      "\n",
      "the time of this epoch:[31.923858165740967 s]\n",
      "Train Epoch: 100 [0/50000 (0%)]\tLoss: 0.140955, Accuracy: 95.12\n",
      "Train Epoch: 100 [2560/50000 (6%)]\tLoss: 0.151824, Accuracy: 95.31\n",
      "Train Epoch: 100 [5120/50000 (11%)]\tLoss: 0.250981, Accuracy: 90.62\n",
      "Train Epoch: 100 [7680/50000 (17%)]\tLoss: 0.173571, Accuracy: 94.14\n",
      "Train Epoch: 100 [10240/50000 (23%)]\tLoss: 0.145402, Accuracy: 95.31\n",
      "Train Epoch: 100 [12800/50000 (28%)]\tLoss: 0.138030, Accuracy: 94.73\n",
      "Train Epoch: 100 [15360/50000 (34%)]\tLoss: 0.166033, Accuracy: 93.95\n",
      "Train Epoch: 100 [17920/50000 (40%)]\tLoss: 0.179487, Accuracy: 92.97\n",
      "Train Epoch: 100 [20480/50000 (45%)]\tLoss: 0.163841, Accuracy: 94.14\n",
      "Train Epoch: 100 [23040/50000 (51%)]\tLoss: 0.168098, Accuracy: 94.34\n",
      "Train Epoch: 100 [25600/50000 (57%)]\tLoss: 0.161920, Accuracy: 93.75\n",
      "Train Epoch: 100 [28160/50000 (62%)]\tLoss: 0.174789, Accuracy: 93.95\n",
      "Train Epoch: 100 [30720/50000 (68%)]\tLoss: 0.210236, Accuracy: 93.36\n",
      "Train Epoch: 100 [33280/50000 (74%)]\tLoss: 0.197054, Accuracy: 93.36\n",
      "Train Epoch: 100 [35840/50000 (80%)]\tLoss: 0.196937, Accuracy: 92.97\n",
      "Train Epoch: 100 [38400/50000 (85%)]\tLoss: 0.151310, Accuracy: 93.55\n",
      "Train Epoch: 100 [40960/50000 (91%)]\tLoss: 0.196797, Accuracy: 93.55\n",
      "Train Epoch: 100 [43520/50000 (97%)]\tLoss: 0.194539, Accuracy: 93.55\n",
      "\n",
      "Validation set: Average loss: 0.4925, Accuracy: 4259/5000 (85.00%)\n",
      "\n",
      "the time of this epoch:[31.91825222969055 s]\n",
      "\n",
      "Test set: Average loss: 0.5154, Accuracy: 8469/10000 (84.69%)\n",
      "\n",
      "Train Epoch: 101 [0/50000 (0%)]\tLoss: 0.186612, Accuracy: 93.16\n",
      "Train Epoch: 101 [2560/50000 (6%)]\tLoss: 0.184150, Accuracy: 94.14\n",
      "Train Epoch: 101 [5120/50000 (11%)]\tLoss: 0.130163, Accuracy: 95.90\n",
      "Train Epoch: 101 [7680/50000 (17%)]\tLoss: 0.155312, Accuracy: 94.73\n",
      "Train Epoch: 101 [10240/50000 (23%)]\tLoss: 0.187328, Accuracy: 92.97\n",
      "Train Epoch: 101 [12800/50000 (28%)]\tLoss: 0.214267, Accuracy: 91.99\n",
      "Train Epoch: 101 [15360/50000 (34%)]\tLoss: 0.185430, Accuracy: 95.31\n",
      "Train Epoch: 101 [17920/50000 (40%)]\tLoss: 0.166480, Accuracy: 94.14\n",
      "Train Epoch: 101 [20480/50000 (45%)]\tLoss: 0.168193, Accuracy: 94.53\n",
      "Train Epoch: 101 [23040/50000 (51%)]\tLoss: 0.148746, Accuracy: 95.70\n",
      "Train Epoch: 101 [25600/50000 (57%)]\tLoss: 0.189347, Accuracy: 91.60\n",
      "Train Epoch: 101 [28160/50000 (62%)]\tLoss: 0.200406, Accuracy: 93.16\n",
      "Train Epoch: 101 [30720/50000 (68%)]\tLoss: 0.163032, Accuracy: 93.55\n",
      "Train Epoch: 101 [33280/50000 (74%)]\tLoss: 0.191777, Accuracy: 93.36\n",
      "Train Epoch: 101 [35840/50000 (80%)]\tLoss: 0.170267, Accuracy: 94.14\n",
      "Train Epoch: 101 [38400/50000 (85%)]\tLoss: 0.167546, Accuracy: 93.55\n",
      "Train Epoch: 101 [40960/50000 (91%)]\tLoss: 0.184973, Accuracy: 93.75\n",
      "Train Epoch: 101 [43520/50000 (97%)]\tLoss: 0.214748, Accuracy: 92.38\n",
      "\n",
      "Validation set: Average loss: 0.6025, Accuracy: 4124/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[34.5079345703125 s]\n",
      "Train Epoch: 102 [0/50000 (0%)]\tLoss: 0.170669, Accuracy: 93.95\n",
      "Train Epoch: 102 [2560/50000 (6%)]\tLoss: 0.163922, Accuracy: 93.75\n",
      "Train Epoch: 102 [5120/50000 (11%)]\tLoss: 0.204739, Accuracy: 93.16\n",
      "Train Epoch: 102 [7680/50000 (17%)]\tLoss: 0.144356, Accuracy: 94.92\n",
      "Train Epoch: 102 [10240/50000 (23%)]\tLoss: 0.147972, Accuracy: 95.70\n",
      "Train Epoch: 102 [12800/50000 (28%)]\tLoss: 0.158323, Accuracy: 94.14\n",
      "Train Epoch: 102 [15360/50000 (34%)]\tLoss: 0.169350, Accuracy: 93.75\n",
      "Train Epoch: 102 [17920/50000 (40%)]\tLoss: 0.148803, Accuracy: 94.34\n",
      "Train Epoch: 102 [20480/50000 (45%)]\tLoss: 0.159012, Accuracy: 94.73\n",
      "Train Epoch: 102 [23040/50000 (51%)]\tLoss: 0.186006, Accuracy: 93.36\n",
      "Train Epoch: 102 [25600/50000 (57%)]\tLoss: 0.152243, Accuracy: 94.53\n",
      "Train Epoch: 102 [28160/50000 (62%)]\tLoss: 0.203136, Accuracy: 92.58\n",
      "Train Epoch: 102 [30720/50000 (68%)]\tLoss: 0.229288, Accuracy: 92.58\n",
      "Train Epoch: 102 [33280/50000 (74%)]\tLoss: 0.191681, Accuracy: 93.75\n",
      "Train Epoch: 102 [35840/50000 (80%)]\tLoss: 0.204987, Accuracy: 92.58\n",
      "Train Epoch: 102 [38400/50000 (85%)]\tLoss: 0.189249, Accuracy: 94.34\n",
      "Train Epoch: 102 [40960/50000 (91%)]\tLoss: 0.217751, Accuracy: 92.38\n",
      "Train Epoch: 102 [43520/50000 (97%)]\tLoss: 0.188799, Accuracy: 93.55\n",
      "\n",
      "Validation set: Average loss: 0.5181, Accuracy: 4207/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[32.034790992736816 s]\n",
      "Train Epoch: 103 [0/50000 (0%)]\tLoss: 0.156402, Accuracy: 94.73\n",
      "Train Epoch: 103 [2560/50000 (6%)]\tLoss: 0.154582, Accuracy: 95.31\n",
      "Train Epoch: 103 [5120/50000 (11%)]\tLoss: 0.155093, Accuracy: 93.75\n",
      "Train Epoch: 103 [7680/50000 (17%)]\tLoss: 0.138734, Accuracy: 95.31\n",
      "Train Epoch: 103 [10240/50000 (23%)]\tLoss: 0.153584, Accuracy: 94.14\n",
      "Train Epoch: 103 [12800/50000 (28%)]\tLoss: 0.149742, Accuracy: 94.53\n",
      "Train Epoch: 103 [15360/50000 (34%)]\tLoss: 0.192484, Accuracy: 93.55\n",
      "Train Epoch: 103 [17920/50000 (40%)]\tLoss: 0.165366, Accuracy: 93.36\n",
      "Train Epoch: 103 [20480/50000 (45%)]\tLoss: 0.188404, Accuracy: 93.95\n",
      "Train Epoch: 103 [23040/50000 (51%)]\tLoss: 0.189048, Accuracy: 93.95\n",
      "Train Epoch: 103 [25600/50000 (57%)]\tLoss: 0.185696, Accuracy: 92.77\n",
      "Train Epoch: 103 [28160/50000 (62%)]\tLoss: 0.190008, Accuracy: 93.55\n",
      "Train Epoch: 103 [30720/50000 (68%)]\tLoss: 0.181302, Accuracy: 92.97\n",
      "Train Epoch: 103 [33280/50000 (74%)]\tLoss: 0.178179, Accuracy: 93.75\n",
      "Train Epoch: 103 [35840/50000 (80%)]\tLoss: 0.193996, Accuracy: 92.97\n",
      "Train Epoch: 103 [38400/50000 (85%)]\tLoss: 0.187378, Accuracy: 94.34\n",
      "Train Epoch: 103 [40960/50000 (91%)]\tLoss: 0.171309, Accuracy: 93.95\n",
      "Train Epoch: 103 [43520/50000 (97%)]\tLoss: 0.195961, Accuracy: 92.58\n",
      "\n",
      "Validation set: Average loss: 0.4566, Accuracy: 4322/5000 (86.00%)\n",
      "\n",
      "the time of this epoch:[32.00325584411621 s]\n",
      "Train Epoch: 104 [0/50000 (0%)]\tLoss: 0.175143, Accuracy: 94.14\n",
      "Train Epoch: 104 [2560/50000 (6%)]\tLoss: 0.125440, Accuracy: 96.09\n",
      "Train Epoch: 104 [5120/50000 (11%)]\tLoss: 0.189229, Accuracy: 95.12\n",
      "Train Epoch: 104 [7680/50000 (17%)]\tLoss: 0.140543, Accuracy: 95.31\n",
      "Train Epoch: 104 [10240/50000 (23%)]\tLoss: 0.190706, Accuracy: 92.97\n",
      "Train Epoch: 104 [12800/50000 (28%)]\tLoss: 0.172218, Accuracy: 93.95\n",
      "Train Epoch: 104 [15360/50000 (34%)]\tLoss: 0.173651, Accuracy: 93.75\n",
      "Train Epoch: 104 [17920/50000 (40%)]\tLoss: 0.202882, Accuracy: 92.58\n",
      "Train Epoch: 104 [20480/50000 (45%)]\tLoss: 0.180816, Accuracy: 92.97\n",
      "Train Epoch: 104 [23040/50000 (51%)]\tLoss: 0.167037, Accuracy: 93.55\n",
      "Train Epoch: 104 [25600/50000 (57%)]\tLoss: 0.233701, Accuracy: 92.19\n",
      "Train Epoch: 104 [28160/50000 (62%)]\tLoss: 0.197585, Accuracy: 93.55\n",
      "Train Epoch: 104 [30720/50000 (68%)]\tLoss: 0.151298, Accuracy: 95.12\n",
      "Train Epoch: 104 [33280/50000 (74%)]\tLoss: 0.180011, Accuracy: 94.14\n",
      "Train Epoch: 104 [35840/50000 (80%)]\tLoss: 0.214585, Accuracy: 91.80\n",
      "Train Epoch: 104 [38400/50000 (85%)]\tLoss: 0.199960, Accuracy: 92.97\n",
      "Train Epoch: 104 [40960/50000 (91%)]\tLoss: 0.165516, Accuracy: 94.34\n",
      "Train Epoch: 104 [43520/50000 (97%)]\tLoss: 0.263336, Accuracy: 91.41\n",
      "\n",
      "Validation set: Average loss: 0.7290, Accuracy: 3950/5000 (79.00%)\n",
      "\n",
      "the time of this epoch:[31.988834142684937 s]\n",
      "Train Epoch: 105 [0/50000 (0%)]\tLoss: 0.188447, Accuracy: 93.55\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 105 [2560/50000 (6%)]\tLoss: 0.165138, Accuracy: 93.95\n",
      "Train Epoch: 105 [5120/50000 (11%)]\tLoss: 0.170484, Accuracy: 94.34\n",
      "Train Epoch: 105 [7680/50000 (17%)]\tLoss: 0.139350, Accuracy: 94.34\n",
      "Train Epoch: 105 [10240/50000 (23%)]\tLoss: 0.171209, Accuracy: 94.14\n",
      "Train Epoch: 105 [12800/50000 (28%)]\tLoss: 0.192990, Accuracy: 93.36\n",
      "Train Epoch: 105 [15360/50000 (34%)]\tLoss: 0.245730, Accuracy: 92.38\n",
      "Train Epoch: 105 [17920/50000 (40%)]\tLoss: 0.161689, Accuracy: 93.36\n",
      "Train Epoch: 105 [20480/50000 (45%)]\tLoss: 0.192949, Accuracy: 93.75\n",
      "Train Epoch: 105 [23040/50000 (51%)]\tLoss: 0.158321, Accuracy: 94.73\n",
      "Train Epoch: 105 [25600/50000 (57%)]\tLoss: 0.182407, Accuracy: 94.34\n",
      "Train Epoch: 105 [28160/50000 (62%)]\tLoss: 0.159474, Accuracy: 94.92\n",
      "Train Epoch: 105 [30720/50000 (68%)]\tLoss: 0.160682, Accuracy: 95.51\n",
      "Train Epoch: 105 [33280/50000 (74%)]\tLoss: 0.145638, Accuracy: 94.34\n",
      "Train Epoch: 105 [35840/50000 (80%)]\tLoss: 0.188291, Accuracy: 94.14\n",
      "Train Epoch: 105 [38400/50000 (85%)]\tLoss: 0.222294, Accuracy: 92.77\n",
      "Train Epoch: 105 [40960/50000 (91%)]\tLoss: 0.157595, Accuracy: 93.55\n",
      "Train Epoch: 105 [43520/50000 (97%)]\tLoss: 0.165801, Accuracy: 94.14\n",
      "\n",
      "Validation set: Average loss: 0.5516, Accuracy: 4178/5000 (83.00%)\n",
      "\n",
      "the time of this epoch:[32.023576736450195 s]\n",
      "Train Epoch: 106 [0/50000 (0%)]\tLoss: 0.176231, Accuracy: 93.75\n",
      "Train Epoch: 106 [2560/50000 (6%)]\tLoss: 0.144049, Accuracy: 94.92\n",
      "Train Epoch: 106 [5120/50000 (11%)]\tLoss: 0.200766, Accuracy: 93.36\n",
      "Train Epoch: 106 [7680/50000 (17%)]\tLoss: 0.187638, Accuracy: 94.14\n",
      "Train Epoch: 106 [10240/50000 (23%)]\tLoss: 0.151064, Accuracy: 95.31\n",
      "Train Epoch: 106 [12800/50000 (28%)]\tLoss: 0.166681, Accuracy: 94.34\n",
      "Train Epoch: 106 [15360/50000 (34%)]\tLoss: 0.181890, Accuracy: 92.97\n",
      "Train Epoch: 106 [17920/50000 (40%)]\tLoss: 0.190386, Accuracy: 92.58\n",
      "Train Epoch: 106 [20480/50000 (45%)]\tLoss: 0.180202, Accuracy: 94.34\n",
      "Train Epoch: 106 [23040/50000 (51%)]\tLoss: 0.195735, Accuracy: 92.77\n",
      "Train Epoch: 106 [25600/50000 (57%)]\tLoss: 0.193387, Accuracy: 93.55\n",
      "Train Epoch: 106 [28160/50000 (62%)]\tLoss: 0.154211, Accuracy: 94.92\n",
      "Train Epoch: 106 [30720/50000 (68%)]\tLoss: 0.225355, Accuracy: 92.58\n",
      "Train Epoch: 106 [33280/50000 (74%)]\tLoss: 0.167789, Accuracy: 94.73\n",
      "Train Epoch: 106 [35840/50000 (80%)]\tLoss: 0.196959, Accuracy: 92.77\n",
      "Train Epoch: 106 [38400/50000 (85%)]\tLoss: 0.189032, Accuracy: 93.16\n",
      "Train Epoch: 106 [40960/50000 (91%)]\tLoss: 0.152478, Accuracy: 94.14\n",
      "Train Epoch: 106 [43520/50000 (97%)]\tLoss: 0.241672, Accuracy: 92.19\n",
      "\n",
      "Validation set: Average loss: 0.5186, Accuracy: 4218/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.955631494522095 s]\n",
      "Train Epoch: 107 [0/50000 (0%)]\tLoss: 0.168021, Accuracy: 94.14\n",
      "Train Epoch: 107 [2560/50000 (6%)]\tLoss: 0.149125, Accuracy: 95.12\n",
      "Train Epoch: 107 [5120/50000 (11%)]\tLoss: 0.172264, Accuracy: 94.14\n",
      "Train Epoch: 107 [7680/50000 (17%)]\tLoss: 0.179181, Accuracy: 93.16\n",
      "Train Epoch: 107 [10240/50000 (23%)]\tLoss: 0.138022, Accuracy: 95.70\n",
      "Train Epoch: 107 [12800/50000 (28%)]\tLoss: 0.202778, Accuracy: 92.97\n",
      "Train Epoch: 107 [15360/50000 (34%)]\tLoss: 0.162473, Accuracy: 95.31\n",
      "Train Epoch: 107 [17920/50000 (40%)]\tLoss: 0.211423, Accuracy: 93.36\n",
      "Train Epoch: 107 [20480/50000 (45%)]\tLoss: 0.135237, Accuracy: 95.31\n",
      "Train Epoch: 107 [23040/50000 (51%)]\tLoss: 0.181068, Accuracy: 93.55\n",
      "Train Epoch: 107 [25600/50000 (57%)]\tLoss: 0.169996, Accuracy: 94.53\n",
      "Train Epoch: 107 [28160/50000 (62%)]\tLoss: 0.146328, Accuracy: 94.92\n",
      "Train Epoch: 107 [30720/50000 (68%)]\tLoss: 0.186930, Accuracy: 93.55\n",
      "Train Epoch: 107 [33280/50000 (74%)]\tLoss: 0.164881, Accuracy: 93.55\n",
      "Train Epoch: 107 [35840/50000 (80%)]\tLoss: 0.150543, Accuracy: 94.73\n",
      "Train Epoch: 107 [38400/50000 (85%)]\tLoss: 0.160851, Accuracy: 94.34\n",
      "Train Epoch: 107 [40960/50000 (91%)]\tLoss: 0.178407, Accuracy: 93.55\n",
      "Train Epoch: 107 [43520/50000 (97%)]\tLoss: 0.204735, Accuracy: 92.77\n",
      "\n",
      "Validation set: Average loss: 0.5906, Accuracy: 4135/5000 (82.00%)\n",
      "\n",
      "the time of this epoch:[31.959522247314453 s]\n",
      "Train Epoch: 108 [0/50000 (0%)]\tLoss: 0.157986, Accuracy: 95.31\n",
      "Train Epoch: 108 [2560/50000 (6%)]\tLoss: 0.139037, Accuracy: 94.34\n",
      "Train Epoch: 108 [5120/50000 (11%)]\tLoss: 0.173943, Accuracy: 93.75\n",
      "Train Epoch: 108 [7680/50000 (17%)]\tLoss: 0.152593, Accuracy: 95.31\n",
      "Train Epoch: 108 [10240/50000 (23%)]\tLoss: 0.187360, Accuracy: 93.95\n",
      "Train Epoch: 108 [12800/50000 (28%)]\tLoss: 0.152982, Accuracy: 95.51\n",
      "Train Epoch: 108 [15360/50000 (34%)]\tLoss: 0.179737, Accuracy: 93.55\n",
      "Train Epoch: 108 [17920/50000 (40%)]\tLoss: 0.195319, Accuracy: 94.34\n",
      "Train Epoch: 108 [20480/50000 (45%)]\tLoss: 0.184771, Accuracy: 93.16\n",
      "Train Epoch: 108 [23040/50000 (51%)]\tLoss: 0.171348, Accuracy: 94.53\n",
      "Train Epoch: 108 [25600/50000 (57%)]\tLoss: 0.163637, Accuracy: 94.92\n",
      "Train Epoch: 108 [28160/50000 (62%)]\tLoss: 0.164405, Accuracy: 93.95\n",
      "Train Epoch: 108 [30720/50000 (68%)]\tLoss: 0.147161, Accuracy: 94.34\n",
      "Train Epoch: 108 [33280/50000 (74%)]\tLoss: 0.155878, Accuracy: 94.73\n",
      "Train Epoch: 108 [35840/50000 (80%)]\tLoss: 0.175663, Accuracy: 94.73\n",
      "Train Epoch: 108 [38400/50000 (85%)]\tLoss: 0.189848, Accuracy: 93.16\n",
      "Train Epoch: 108 [40960/50000 (91%)]\tLoss: 0.161387, Accuracy: 93.95\n",
      "Train Epoch: 108 [43520/50000 (97%)]\tLoss: 0.180104, Accuracy: 93.36\n",
      "\n",
      "Validation set: Average loss: 0.5058, Accuracy: 4222/5000 (84.00%)\n",
      "\n",
      "the time of this epoch:[31.93816637992859 s]\n",
      "Train Epoch: 109 [0/50000 (0%)]\tLoss: 0.146298, Accuracy: 94.53\n",
      "Train Epoch: 109 [2560/50000 (6%)]\tLoss: 0.159915, Accuracy: 94.34\n",
      "Train Epoch: 109 [5120/50000 (11%)]\tLoss: 0.172677, Accuracy: 92.58\n",
      "Train Epoch: 109 [7680/50000 (17%)]\tLoss: 0.158263, Accuracy: 94.73\n",
      "Train Epoch: 109 [10240/50000 (23%)]\tLoss: 0.188336, Accuracy: 93.55\n",
      "Train Epoch: 109 [12800/50000 (28%)]\tLoss: 0.142471, Accuracy: 94.92\n",
      "Train Epoch: 109 [15360/50000 (34%)]\tLoss: 0.152041, Accuracy: 95.31\n",
      "Train Epoch: 109 [17920/50000 (40%)]\tLoss: 0.223653, Accuracy: 93.16\n",
      "Train Epoch: 109 [20480/50000 (45%)]\tLoss: 0.195847, Accuracy: 92.97\n",
      "Train Epoch: 109 [23040/50000 (51%)]\tLoss: 0.218943, Accuracy: 92.38\n",
      "Train Epoch: 109 [25600/50000 (57%)]\tLoss: 0.169458, Accuracy: 93.55\n",
      "Train Epoch: 109 [28160/50000 (62%)]\tLoss: 0.157429, Accuracy: 94.53\n",
      "Train Epoch: 109 [30720/50000 (68%)]\tLoss: 0.167734, Accuracy: 94.53\n",
      "Train Epoch: 109 [33280/50000 (74%)]\tLoss: 0.144299, Accuracy: 95.70\n",
      "Train Epoch: 109 [35840/50000 (80%)]\tLoss: 0.197517, Accuracy: 92.19\n",
      "Train Epoch: 109 [38400/50000 (85%)]\tLoss: 0.215056, Accuracy: 92.19\n",
      "Train Epoch: 109 [40960/50000 (91%)]\tLoss: 0.187127, Accuracy: 94.53\n",
      "Train Epoch: 109 [43520/50000 (97%)]\tLoss: 0.241421, Accuracy: 92.19\n",
      "\n",
      "Validation set: Average loss: 0.7382, Accuracy: 4004/5000 (80.00%)\n",
      "\n",
      "the time of this epoch:[31.97039246559143 s]\n",
      "Train Epoch: 110 [0/50000 (0%)]\tLoss: 0.146061, Accuracy: 95.12\n",
      "Train Epoch: 110 [2560/50000 (6%)]\tLoss: 0.163097, Accuracy: 94.53\n",
      "Train Epoch: 110 [5120/50000 (11%)]\tLoss: 0.146098, Accuracy: 95.31\n",
      "Train Epoch: 110 [7680/50000 (17%)]\tLoss: 0.169513, Accuracy: 93.36\n",
      "Train Epoch: 110 [10240/50000 (23%)]\tLoss: 0.171812, Accuracy: 93.75\n",
      "Train Epoch: 110 [12800/50000 (28%)]\tLoss: 0.171934, Accuracy: 94.14\n",
      "Train Epoch: 110 [15360/50000 (34%)]\tLoss: 0.146805, Accuracy: 95.70\n",
      "Train Epoch: 110 [17920/50000 (40%)]\tLoss: 0.160150, Accuracy: 94.73\n",
      "Train Epoch: 110 [20480/50000 (45%)]\tLoss: 0.232233, Accuracy: 89.84\n",
      "Train Epoch: 110 [23040/50000 (51%)]\tLoss: 0.225198, Accuracy: 91.99\n",
      "Train Epoch: 110 [25600/50000 (57%)]\tLoss: 0.186728, Accuracy: 92.58\n",
      "Train Epoch: 110 [28160/50000 (62%)]\tLoss: 0.160117, Accuracy: 94.34\n",
      "Train Epoch: 110 [30720/50000 (68%)]\tLoss: 0.148054, Accuracy: 94.92\n",
      "Train Epoch: 110 [33280/50000 (74%)]\tLoss: 0.210553, Accuracy: 92.97\n",
      "Train Epoch: 110 [35840/50000 (80%)]\tLoss: 0.198600, Accuracy: 92.38\n",
      "Train Epoch: 110 [38400/50000 (85%)]\tLoss: 0.221334, Accuracy: 91.60\n",
      "Train Epoch: 110 [40960/50000 (91%)]\tLoss: 0.194912, Accuracy: 92.77\n",
      "Train Epoch: 110 [43520/50000 (97%)]\tLoss: 0.229575, Accuracy: 91.80\n",
      "\n",
      "Validation set: Average loss: 0.6980, Accuracy: 4056/5000 (81.00%)\n",
      "\n",
      "the time of this epoch:[31.915791034698486 s]\n",
      "\n",
      "Test set: Average loss: 0.7094, Accuracy: 8069/10000 (80.69%)\n",
      "\n",
      "Train Epoch: 111 [0/50000 (0%)]\tLoss: 0.163792, Accuracy: 94.14\n",
      "Train Epoch: 111 [2560/50000 (6%)]\tLoss: 0.152229, Accuracy: 94.73\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 111 [5120/50000 (11%)]\tLoss: 0.132703, Accuracy: 96.68\n",
      "Train Epoch: 111 [7680/50000 (17%)]\tLoss: 0.140975, Accuracy: 94.73\n",
      "Train Epoch: 111 [10240/50000 (23%)]\tLoss: 0.123121, Accuracy: 95.31\n",
      "Train Epoch: 111 [12800/50000 (28%)]\tLoss: 0.092007, Accuracy: 96.88\n",
      "Train Epoch: 111 [15360/50000 (34%)]\tLoss: 0.108562, Accuracy: 96.68\n",
      "Train Epoch: 111 [17920/50000 (40%)]\tLoss: 0.094538, Accuracy: 96.68\n",
      "Train Epoch: 111 [20480/50000 (45%)]\tLoss: 0.099640, Accuracy: 97.07\n",
      "Train Epoch: 111 [23040/50000 (51%)]\tLoss: 0.119571, Accuracy: 95.12\n",
      "Train Epoch: 111 [25600/50000 (57%)]\tLoss: 0.085009, Accuracy: 97.85\n",
      "Train Epoch: 111 [28160/50000 (62%)]\tLoss: 0.088073, Accuracy: 96.88\n",
      "Train Epoch: 111 [30720/50000 (68%)]\tLoss: 0.066369, Accuracy: 98.24\n",
      "Train Epoch: 111 [33280/50000 (74%)]\tLoss: 0.075761, Accuracy: 97.46\n",
      "Train Epoch: 111 [35840/50000 (80%)]\tLoss: 0.098152, Accuracy: 97.07\n",
      "Train Epoch: 111 [38400/50000 (85%)]\tLoss: 0.054952, Accuracy: 97.85\n",
      "Train Epoch: 111 [40960/50000 (91%)]\tLoss: 0.092690, Accuracy: 96.68\n",
      "Train Epoch: 111 [43520/50000 (97%)]\tLoss: 0.068773, Accuracy: 97.85\n",
      "\n",
      "Validation set: Average loss: 0.2372, Accuracy: 4614/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[34.76599979400635 s]\n",
      "Train Epoch: 112 [0/50000 (0%)]\tLoss: 0.050912, Accuracy: 98.63\n",
      "Train Epoch: 112 [2560/50000 (6%)]\tLoss: 0.073211, Accuracy: 98.05\n",
      "Train Epoch: 112 [5120/50000 (11%)]\tLoss: 0.063010, Accuracy: 98.24\n",
      "Train Epoch: 112 [7680/50000 (17%)]\tLoss: 0.066563, Accuracy: 98.24\n",
      "Train Epoch: 112 [10240/50000 (23%)]\tLoss: 0.066162, Accuracy: 97.85\n",
      "Train Epoch: 112 [12800/50000 (28%)]\tLoss: 0.060718, Accuracy: 98.63\n",
      "Train Epoch: 112 [15360/50000 (34%)]\tLoss: 0.059298, Accuracy: 98.83\n",
      "Train Epoch: 112 [17920/50000 (40%)]\tLoss: 0.049543, Accuracy: 99.02\n",
      "Train Epoch: 112 [20480/50000 (45%)]\tLoss: 0.058104, Accuracy: 98.24\n",
      "Train Epoch: 112 [23040/50000 (51%)]\tLoss: 0.085537, Accuracy: 96.88\n",
      "Train Epoch: 112 [25600/50000 (57%)]\tLoss: 0.085081, Accuracy: 96.48\n",
      "Train Epoch: 112 [28160/50000 (62%)]\tLoss: 0.053617, Accuracy: 98.63\n",
      "Train Epoch: 112 [30720/50000 (68%)]\tLoss: 0.050841, Accuracy: 98.44\n",
      "Train Epoch: 112 [33280/50000 (74%)]\tLoss: 0.056374, Accuracy: 98.24\n",
      "Train Epoch: 112 [35840/50000 (80%)]\tLoss: 0.061208, Accuracy: 98.24\n",
      "Train Epoch: 112 [38400/50000 (85%)]\tLoss: 0.056345, Accuracy: 98.24\n",
      "Train Epoch: 112 [40960/50000 (91%)]\tLoss: 0.037241, Accuracy: 99.02\n",
      "Train Epoch: 112 [43520/50000 (97%)]\tLoss: 0.056758, Accuracy: 98.05\n",
      "\n",
      "Validation set: Average loss: 0.2399, Accuracy: 4629/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.963401317596436 s]\n",
      "Train Epoch: 113 [0/50000 (0%)]\tLoss: 0.048258, Accuracy: 98.63\n",
      "Train Epoch: 113 [2560/50000 (6%)]\tLoss: 0.039343, Accuracy: 99.02\n",
      "Train Epoch: 113 [5120/50000 (11%)]\tLoss: 0.053023, Accuracy: 98.24\n",
      "Train Epoch: 113 [7680/50000 (17%)]\tLoss: 0.059529, Accuracy: 98.05\n",
      "Train Epoch: 113 [10240/50000 (23%)]\tLoss: 0.044441, Accuracy: 98.63\n",
      "Train Epoch: 113 [12800/50000 (28%)]\tLoss: 0.034461, Accuracy: 99.61\n",
      "Train Epoch: 113 [15360/50000 (34%)]\tLoss: 0.047495, Accuracy: 99.22\n",
      "Train Epoch: 113 [17920/50000 (40%)]\tLoss: 0.043866, Accuracy: 98.44\n",
      "Train Epoch: 113 [20480/50000 (45%)]\tLoss: 0.033106, Accuracy: 99.22\n",
      "Train Epoch: 113 [23040/50000 (51%)]\tLoss: 0.053367, Accuracy: 98.05\n",
      "Train Epoch: 113 [25600/50000 (57%)]\tLoss: 0.050936, Accuracy: 98.24\n",
      "Train Epoch: 113 [28160/50000 (62%)]\tLoss: 0.036791, Accuracy: 99.61\n",
      "Train Epoch: 113 [30720/50000 (68%)]\tLoss: 0.039617, Accuracy: 98.83\n",
      "Train Epoch: 113 [33280/50000 (74%)]\tLoss: 0.026748, Accuracy: 99.41\n",
      "Train Epoch: 113 [35840/50000 (80%)]\tLoss: 0.036893, Accuracy: 99.41\n",
      "Train Epoch: 113 [38400/50000 (85%)]\tLoss: 0.035890, Accuracy: 98.83\n",
      "Train Epoch: 113 [40960/50000 (91%)]\tLoss: 0.021083, Accuracy: 99.41\n",
      "Train Epoch: 113 [43520/50000 (97%)]\tLoss: 0.029273, Accuracy: 99.41\n",
      "\n",
      "Validation set: Average loss: 0.2360, Accuracy: 4644/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.954638481140137 s]\n",
      "Train Epoch: 114 [0/50000 (0%)]\tLoss: 0.058080, Accuracy: 98.44\n",
      "Train Epoch: 114 [2560/50000 (6%)]\tLoss: 0.044547, Accuracy: 98.05\n",
      "Train Epoch: 114 [5120/50000 (11%)]\tLoss: 0.051448, Accuracy: 98.44\n",
      "Train Epoch: 114 [7680/50000 (17%)]\tLoss: 0.030474, Accuracy: 99.41\n",
      "Train Epoch: 114 [10240/50000 (23%)]\tLoss: 0.034808, Accuracy: 99.02\n",
      "Train Epoch: 114 [12800/50000 (28%)]\tLoss: 0.038462, Accuracy: 99.22\n",
      "Train Epoch: 114 [15360/50000 (34%)]\tLoss: 0.049909, Accuracy: 98.44\n",
      "Train Epoch: 114 [17920/50000 (40%)]\tLoss: 0.037928, Accuracy: 98.63\n",
      "Train Epoch: 114 [20480/50000 (45%)]\tLoss: 0.035905, Accuracy: 99.22\n",
      "Train Epoch: 114 [23040/50000 (51%)]\tLoss: 0.051082, Accuracy: 98.24\n",
      "Train Epoch: 114 [25600/50000 (57%)]\tLoss: 0.039154, Accuracy: 98.83\n",
      "Train Epoch: 114 [28160/50000 (62%)]\tLoss: 0.032156, Accuracy: 99.22\n",
      "Train Epoch: 114 [30720/50000 (68%)]\tLoss: 0.041050, Accuracy: 99.02\n",
      "Train Epoch: 114 [33280/50000 (74%)]\tLoss: 0.042391, Accuracy: 99.02\n",
      "Train Epoch: 114 [35840/50000 (80%)]\tLoss: 0.028757, Accuracy: 99.41\n",
      "Train Epoch: 114 [38400/50000 (85%)]\tLoss: 0.025917, Accuracy: 99.22\n",
      "Train Epoch: 114 [40960/50000 (91%)]\tLoss: 0.023379, Accuracy: 99.61\n",
      "Train Epoch: 114 [43520/50000 (97%)]\tLoss: 0.019011, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2375, Accuracy: 4645/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.904006481170654 s]\n",
      "Train Epoch: 115 [0/50000 (0%)]\tLoss: 0.034633, Accuracy: 99.41\n",
      "Train Epoch: 115 [2560/50000 (6%)]\tLoss: 0.039821, Accuracy: 98.63\n",
      "Train Epoch: 115 [5120/50000 (11%)]\tLoss: 0.041193, Accuracy: 98.44\n",
      "Train Epoch: 115 [7680/50000 (17%)]\tLoss: 0.033402, Accuracy: 98.83\n",
      "Train Epoch: 115 [10240/50000 (23%)]\tLoss: 0.033298, Accuracy: 99.22\n",
      "Train Epoch: 115 [12800/50000 (28%)]\tLoss: 0.032379, Accuracy: 98.44\n",
      "Train Epoch: 115 [15360/50000 (34%)]\tLoss: 0.030282, Accuracy: 98.83\n",
      "Train Epoch: 115 [17920/50000 (40%)]\tLoss: 0.038989, Accuracy: 99.02\n",
      "Train Epoch: 115 [20480/50000 (45%)]\tLoss: 0.038090, Accuracy: 98.05\n",
      "Train Epoch: 115 [23040/50000 (51%)]\tLoss: 0.048119, Accuracy: 97.85\n",
      "Train Epoch: 115 [25600/50000 (57%)]\tLoss: 0.016742, Accuracy: 99.80\n",
      "Train Epoch: 115 [28160/50000 (62%)]\tLoss: 0.030007, Accuracy: 99.22\n",
      "Train Epoch: 115 [30720/50000 (68%)]\tLoss: 0.023347, Accuracy: 99.02\n",
      "Train Epoch: 115 [33280/50000 (74%)]\tLoss: 0.035738, Accuracy: 99.41\n",
      "Train Epoch: 115 [35840/50000 (80%)]\tLoss: 0.063323, Accuracy: 98.24\n",
      "Train Epoch: 115 [38400/50000 (85%)]\tLoss: 0.030613, Accuracy: 99.22\n",
      "Train Epoch: 115 [40960/50000 (91%)]\tLoss: 0.026075, Accuracy: 99.22\n",
      "Train Epoch: 115 [43520/50000 (97%)]\tLoss: 0.026754, Accuracy: 99.22\n",
      "\n",
      "Validation set: Average loss: 0.2376, Accuracy: 4652/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.89975619316101 s]\n",
      "Train Epoch: 116 [0/50000 (0%)]\tLoss: 0.025310, Accuracy: 99.41\n",
      "Train Epoch: 116 [2560/50000 (6%)]\tLoss: 0.035393, Accuracy: 99.22\n",
      "Train Epoch: 116 [5120/50000 (11%)]\tLoss: 0.025122, Accuracy: 99.41\n",
      "Train Epoch: 116 [7680/50000 (17%)]\tLoss: 0.027936, Accuracy: 99.02\n",
      "Train Epoch: 116 [10240/50000 (23%)]\tLoss: 0.025091, Accuracy: 99.02\n",
      "Train Epoch: 116 [12800/50000 (28%)]\tLoss: 0.031031, Accuracy: 99.02\n",
      "Train Epoch: 116 [15360/50000 (34%)]\tLoss: 0.037894, Accuracy: 98.83\n",
      "Train Epoch: 116 [17920/50000 (40%)]\tLoss: 0.042125, Accuracy: 99.22\n",
      "Train Epoch: 116 [20480/50000 (45%)]\tLoss: 0.022892, Accuracy: 99.22\n",
      "Train Epoch: 116 [23040/50000 (51%)]\tLoss: 0.032689, Accuracy: 99.02\n",
      "Train Epoch: 116 [25600/50000 (57%)]\tLoss: 0.027094, Accuracy: 99.02\n",
      "Train Epoch: 116 [28160/50000 (62%)]\tLoss: 0.031238, Accuracy: 99.22\n",
      "Train Epoch: 116 [30720/50000 (68%)]\tLoss: 0.025962, Accuracy: 99.61\n",
      "Train Epoch: 116 [33280/50000 (74%)]\tLoss: 0.026934, Accuracy: 99.61\n",
      "Train Epoch: 116 [35840/50000 (80%)]\tLoss: 0.019907, Accuracy: 99.80\n",
      "Train Epoch: 116 [38400/50000 (85%)]\tLoss: 0.031171, Accuracy: 99.41\n",
      "Train Epoch: 116 [40960/50000 (91%)]\tLoss: 0.022009, Accuracy: 99.22\n",
      "Train Epoch: 116 [43520/50000 (97%)]\tLoss: 0.023002, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.2426, Accuracy: 4644/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.951187133789062 s]\n",
      "Train Epoch: 117 [0/50000 (0%)]\tLoss: 0.029830, Accuracy: 99.41\n",
      "Train Epoch: 117 [2560/50000 (6%)]\tLoss: 0.026251, Accuracy: 99.02\n",
      "Train Epoch: 117 [5120/50000 (11%)]\tLoss: 0.035903, Accuracy: 98.63\n",
      "Train Epoch: 117 [7680/50000 (17%)]\tLoss: 0.028212, Accuracy: 99.22\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 117 [10240/50000 (23%)]\tLoss: 0.010886, Accuracy: 99.80\n",
      "Train Epoch: 117 [12800/50000 (28%)]\tLoss: 0.032393, Accuracy: 98.83\n",
      "Train Epoch: 117 [15360/50000 (34%)]\tLoss: 0.016397, Accuracy: 99.80\n",
      "Train Epoch: 117 [17920/50000 (40%)]\tLoss: 0.022583, Accuracy: 99.41\n",
      "Train Epoch: 117 [20480/50000 (45%)]\tLoss: 0.031455, Accuracy: 99.22\n",
      "Train Epoch: 117 [23040/50000 (51%)]\tLoss: 0.022630, Accuracy: 99.41\n",
      "Train Epoch: 117 [25600/50000 (57%)]\tLoss: 0.026746, Accuracy: 99.02\n",
      "Train Epoch: 117 [28160/50000 (62%)]\tLoss: 0.022585, Accuracy: 99.80\n",
      "Train Epoch: 117 [30720/50000 (68%)]\tLoss: 0.025583, Accuracy: 99.22\n",
      "Train Epoch: 117 [33280/50000 (74%)]\tLoss: 0.034975, Accuracy: 98.83\n",
      "Train Epoch: 117 [35840/50000 (80%)]\tLoss: 0.024594, Accuracy: 99.22\n",
      "Train Epoch: 117 [38400/50000 (85%)]\tLoss: 0.050835, Accuracy: 98.44\n",
      "Train Epoch: 117 [40960/50000 (91%)]\tLoss: 0.021228, Accuracy: 99.22\n",
      "Train Epoch: 117 [43520/50000 (97%)]\tLoss: 0.036903, Accuracy: 98.44\n",
      "\n",
      "Validation set: Average loss: 0.2477, Accuracy: 4637/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.928517818450928 s]\n",
      "Train Epoch: 118 [0/50000 (0%)]\tLoss: 0.016449, Accuracy: 99.80\n",
      "Train Epoch: 118 [2560/50000 (6%)]\tLoss: 0.021454, Accuracy: 99.61\n",
      "Train Epoch: 118 [5120/50000 (11%)]\tLoss: 0.023818, Accuracy: 99.41\n",
      "Train Epoch: 118 [7680/50000 (17%)]\tLoss: 0.011922, Accuracy: 100.00\n",
      "Train Epoch: 118 [10240/50000 (23%)]\tLoss: 0.019538, Accuracy: 99.80\n",
      "Train Epoch: 118 [12800/50000 (28%)]\tLoss: 0.030420, Accuracy: 99.22\n",
      "Train Epoch: 118 [15360/50000 (34%)]\tLoss: 0.024081, Accuracy: 99.80\n",
      "Train Epoch: 118 [17920/50000 (40%)]\tLoss: 0.026549, Accuracy: 99.41\n",
      "Train Epoch: 118 [20480/50000 (45%)]\tLoss: 0.018181, Accuracy: 99.41\n",
      "Train Epoch: 118 [23040/50000 (51%)]\tLoss: 0.012760, Accuracy: 100.00\n",
      "Train Epoch: 118 [25600/50000 (57%)]\tLoss: 0.018963, Accuracy: 99.80\n",
      "Train Epoch: 118 [28160/50000 (62%)]\tLoss: 0.023807, Accuracy: 99.22\n",
      "Train Epoch: 118 [30720/50000 (68%)]\tLoss: 0.018036, Accuracy: 99.80\n",
      "Train Epoch: 118 [33280/50000 (74%)]\tLoss: 0.010783, Accuracy: 100.00\n",
      "Train Epoch: 118 [35840/50000 (80%)]\tLoss: 0.021263, Accuracy: 99.02\n",
      "Train Epoch: 118 [38400/50000 (85%)]\tLoss: 0.022243, Accuracy: 99.41\n",
      "Train Epoch: 118 [40960/50000 (91%)]\tLoss: 0.011154, Accuracy: 99.80\n",
      "Train Epoch: 118 [43520/50000 (97%)]\tLoss: 0.010330, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2432, Accuracy: 4653/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.952637195587158 s]\n",
      "Train Epoch: 119 [0/50000 (0%)]\tLoss: 0.013096, Accuracy: 100.00\n",
      "Train Epoch: 119 [2560/50000 (6%)]\tLoss: 0.009809, Accuracy: 100.00\n",
      "Train Epoch: 119 [5120/50000 (11%)]\tLoss: 0.012599, Accuracy: 99.61\n",
      "Train Epoch: 119 [7680/50000 (17%)]\tLoss: 0.011608, Accuracy: 99.80\n",
      "Train Epoch: 119 [10240/50000 (23%)]\tLoss: 0.010677, Accuracy: 100.00\n",
      "Train Epoch: 119 [12800/50000 (28%)]\tLoss: 0.010064, Accuracy: 100.00\n",
      "Train Epoch: 119 [15360/50000 (34%)]\tLoss: 0.030586, Accuracy: 98.63\n",
      "Train Epoch: 119 [17920/50000 (40%)]\tLoss: 0.014031, Accuracy: 99.41\n",
      "Train Epoch: 119 [20480/50000 (45%)]\tLoss: 0.013902, Accuracy: 99.61\n",
      "Train Epoch: 119 [23040/50000 (51%)]\tLoss: 0.021522, Accuracy: 99.22\n",
      "Train Epoch: 119 [25600/50000 (57%)]\tLoss: 0.025849, Accuracy: 99.02\n",
      "Train Epoch: 119 [28160/50000 (62%)]\tLoss: 0.011455, Accuracy: 99.80\n",
      "Train Epoch: 119 [30720/50000 (68%)]\tLoss: 0.014357, Accuracy: 99.80\n",
      "Train Epoch: 119 [33280/50000 (74%)]\tLoss: 0.022074, Accuracy: 99.02\n",
      "Train Epoch: 119 [35840/50000 (80%)]\tLoss: 0.015406, Accuracy: 99.61\n",
      "Train Epoch: 119 [38400/50000 (85%)]\tLoss: 0.015395, Accuracy: 99.80\n",
      "Train Epoch: 119 [40960/50000 (91%)]\tLoss: 0.021398, Accuracy: 99.61\n",
      "Train Epoch: 119 [43520/50000 (97%)]\tLoss: 0.012663, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.2456, Accuracy: 4660/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.9592604637146 s]\n",
      "Train Epoch: 120 [0/50000 (0%)]\tLoss: 0.019556, Accuracy: 99.80\n",
      "Train Epoch: 120 [2560/50000 (6%)]\tLoss: 0.012873, Accuracy: 100.00\n",
      "Train Epoch: 120 [5120/50000 (11%)]\tLoss: 0.010064, Accuracy: 99.80\n",
      "Train Epoch: 120 [7680/50000 (17%)]\tLoss: 0.020593, Accuracy: 99.41\n",
      "Train Epoch: 120 [10240/50000 (23%)]\tLoss: 0.034980, Accuracy: 99.02\n",
      "Train Epoch: 120 [12800/50000 (28%)]\tLoss: 0.026737, Accuracy: 99.02\n",
      "Train Epoch: 120 [15360/50000 (34%)]\tLoss: 0.020354, Accuracy: 99.41\n",
      "Train Epoch: 120 [17920/50000 (40%)]\tLoss: 0.007709, Accuracy: 100.00\n",
      "Train Epoch: 120 [20480/50000 (45%)]\tLoss: 0.020260, Accuracy: 99.61\n",
      "Train Epoch: 120 [23040/50000 (51%)]\tLoss: 0.019407, Accuracy: 99.22\n",
      "Train Epoch: 120 [25600/50000 (57%)]\tLoss: 0.015572, Accuracy: 99.61\n",
      "Train Epoch: 120 [28160/50000 (62%)]\tLoss: 0.011233, Accuracy: 99.80\n",
      "Train Epoch: 120 [30720/50000 (68%)]\tLoss: 0.028087, Accuracy: 99.41\n",
      "Train Epoch: 120 [33280/50000 (74%)]\tLoss: 0.011776, Accuracy: 99.80\n",
      "Train Epoch: 120 [35840/50000 (80%)]\tLoss: 0.014176, Accuracy: 99.61\n",
      "Train Epoch: 120 [38400/50000 (85%)]\tLoss: 0.016436, Accuracy: 99.61\n",
      "Train Epoch: 120 [40960/50000 (91%)]\tLoss: 0.015303, Accuracy: 99.61\n",
      "Train Epoch: 120 [43520/50000 (97%)]\tLoss: 0.023012, Accuracy: 99.41\n",
      "\n",
      "Validation set: Average loss: 0.2498, Accuracy: 4646/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.982138633728027 s]\n",
      "\n",
      "Test set: Average loss: 0.2806, Accuracy: 9262/10000 (92.62%)\n",
      "\n",
      "Train Epoch: 121 [0/50000 (0%)]\tLoss: 0.018614, Accuracy: 99.22\n",
      "Train Epoch: 121 [2560/50000 (6%)]\tLoss: 0.025078, Accuracy: 99.41\n",
      "Train Epoch: 121 [5120/50000 (11%)]\tLoss: 0.007061, Accuracy: 100.00\n",
      "Train Epoch: 121 [7680/50000 (17%)]\tLoss: 0.016912, Accuracy: 99.41\n",
      "Train Epoch: 121 [10240/50000 (23%)]\tLoss: 0.015770, Accuracy: 99.80\n",
      "Train Epoch: 121 [12800/50000 (28%)]\tLoss: 0.009722, Accuracy: 100.00\n",
      "Train Epoch: 121 [15360/50000 (34%)]\tLoss: 0.036778, Accuracy: 99.22\n",
      "Train Epoch: 121 [17920/50000 (40%)]\tLoss: 0.009291, Accuracy: 100.00\n",
      "Train Epoch: 121 [20480/50000 (45%)]\tLoss: 0.014604, Accuracy: 99.80\n",
      "Train Epoch: 121 [23040/50000 (51%)]\tLoss: 0.013923, Accuracy: 99.61\n",
      "Train Epoch: 121 [25600/50000 (57%)]\tLoss: 0.020503, Accuracy: 99.22\n",
      "Train Epoch: 121 [28160/50000 (62%)]\tLoss: 0.013535, Accuracy: 99.61\n",
      "Train Epoch: 121 [30720/50000 (68%)]\tLoss: 0.019064, Accuracy: 99.80\n",
      "Train Epoch: 121 [33280/50000 (74%)]\tLoss: 0.013494, Accuracy: 99.61\n",
      "Train Epoch: 121 [35840/50000 (80%)]\tLoss: 0.029897, Accuracy: 99.22\n",
      "Train Epoch: 121 [38400/50000 (85%)]\tLoss: 0.011546, Accuracy: 99.80\n",
      "Train Epoch: 121 [40960/50000 (91%)]\tLoss: 0.018322, Accuracy: 99.80\n",
      "Train Epoch: 121 [43520/50000 (97%)]\tLoss: 0.016611, Accuracy: 99.41\n",
      "\n",
      "Validation set: Average loss: 0.2522, Accuracy: 4655/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.75331902503967 s]\n",
      "Train Epoch: 122 [0/50000 (0%)]\tLoss: 0.008427, Accuracy: 99.80\n",
      "Train Epoch: 122 [2560/50000 (6%)]\tLoss: 0.013593, Accuracy: 99.80\n",
      "Train Epoch: 122 [5120/50000 (11%)]\tLoss: 0.013468, Accuracy: 99.80\n",
      "Train Epoch: 122 [7680/50000 (17%)]\tLoss: 0.010460, Accuracy: 99.80\n",
      "Train Epoch: 122 [10240/50000 (23%)]\tLoss: 0.015130, Accuracy: 99.41\n",
      "Train Epoch: 122 [12800/50000 (28%)]\tLoss: 0.014058, Accuracy: 99.80\n",
      "Train Epoch: 122 [15360/50000 (34%)]\tLoss: 0.007528, Accuracy: 100.00\n",
      "Train Epoch: 122 [17920/50000 (40%)]\tLoss: 0.014140, Accuracy: 99.61\n",
      "Train Epoch: 122 [20480/50000 (45%)]\tLoss: 0.014894, Accuracy: 99.61\n",
      "Train Epoch: 122 [23040/50000 (51%)]\tLoss: 0.014747, Accuracy: 99.80\n",
      "Train Epoch: 122 [25600/50000 (57%)]\tLoss: 0.007936, Accuracy: 100.00\n",
      "Train Epoch: 122 [28160/50000 (62%)]\tLoss: 0.014962, Accuracy: 99.61\n",
      "Train Epoch: 122 [30720/50000 (68%)]\tLoss: 0.017684, Accuracy: 99.41\n",
      "Train Epoch: 122 [33280/50000 (74%)]\tLoss: 0.013368, Accuracy: 99.80\n",
      "Train Epoch: 122 [35840/50000 (80%)]\tLoss: 0.010308, Accuracy: 99.61\n",
      "Train Epoch: 122 [38400/50000 (85%)]\tLoss: 0.016428, Accuracy: 99.61\n",
      "Train Epoch: 122 [40960/50000 (91%)]\tLoss: 0.022119, Accuracy: 99.22\n",
      "Train Epoch: 122 [43520/50000 (97%)]\tLoss: 0.015823, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.2564, Accuracy: 4657/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.923757076263428 s]\n",
      "Train Epoch: 123 [0/50000 (0%)]\tLoss: 0.014842, Accuracy: 99.41\n",
      "Train Epoch: 123 [2560/50000 (6%)]\tLoss: 0.010453, Accuracy: 99.61\n",
      "Train Epoch: 123 [5120/50000 (11%)]\tLoss: 0.010106, Accuracy: 100.00\n",
      "Train Epoch: 123 [7680/50000 (17%)]\tLoss: 0.015832, Accuracy: 99.41\n",
      "Train Epoch: 123 [10240/50000 (23%)]\tLoss: 0.015897, Accuracy: 99.41\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 123 [12800/50000 (28%)]\tLoss: 0.021842, Accuracy: 99.41\n",
      "Train Epoch: 123 [15360/50000 (34%)]\tLoss: 0.008122, Accuracy: 100.00\n",
      "Train Epoch: 123 [17920/50000 (40%)]\tLoss: 0.021192, Accuracy: 99.41\n",
      "Train Epoch: 123 [20480/50000 (45%)]\tLoss: 0.008470, Accuracy: 99.80\n",
      "Train Epoch: 123 [23040/50000 (51%)]\tLoss: 0.017005, Accuracy: 99.61\n",
      "Train Epoch: 123 [25600/50000 (57%)]\tLoss: 0.012663, Accuracy: 99.80\n",
      "Train Epoch: 123 [28160/50000 (62%)]\tLoss: 0.017351, Accuracy: 99.80\n",
      "Train Epoch: 123 [30720/50000 (68%)]\tLoss: 0.008724, Accuracy: 100.00\n",
      "Train Epoch: 123 [33280/50000 (74%)]\tLoss: 0.012006, Accuracy: 99.80\n",
      "Train Epoch: 123 [35840/50000 (80%)]\tLoss: 0.012431, Accuracy: 99.61\n",
      "Train Epoch: 123 [38400/50000 (85%)]\tLoss: 0.028200, Accuracy: 99.02\n",
      "Train Epoch: 123 [40960/50000 (91%)]\tLoss: 0.015023, Accuracy: 99.41\n",
      "Train Epoch: 123 [43520/50000 (97%)]\tLoss: 0.010191, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2561, Accuracy: 4634/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.974770307540894 s]\n",
      "Train Epoch: 124 [0/50000 (0%)]\tLoss: 0.010630, Accuracy: 99.80\n",
      "Train Epoch: 124 [2560/50000 (6%)]\tLoss: 0.021916, Accuracy: 99.61\n",
      "Train Epoch: 124 [5120/50000 (11%)]\tLoss: 0.011408, Accuracy: 99.80\n",
      "Train Epoch: 124 [7680/50000 (17%)]\tLoss: 0.015015, Accuracy: 99.61\n",
      "Train Epoch: 124 [10240/50000 (23%)]\tLoss: 0.011067, Accuracy: 99.61\n",
      "Train Epoch: 124 [12800/50000 (28%)]\tLoss: 0.021241, Accuracy: 99.41\n",
      "Train Epoch: 124 [15360/50000 (34%)]\tLoss: 0.009391, Accuracy: 99.80\n",
      "Train Epoch: 124 [17920/50000 (40%)]\tLoss: 0.008816, Accuracy: 100.00\n",
      "Train Epoch: 124 [20480/50000 (45%)]\tLoss: 0.017028, Accuracy: 99.61\n",
      "Train Epoch: 124 [23040/50000 (51%)]\tLoss: 0.012973, Accuracy: 99.80\n",
      "Train Epoch: 124 [25600/50000 (57%)]\tLoss: 0.013577, Accuracy: 99.61\n",
      "Train Epoch: 124 [28160/50000 (62%)]\tLoss: 0.015881, Accuracy: 99.41\n",
      "Train Epoch: 124 [30720/50000 (68%)]\tLoss: 0.028515, Accuracy: 99.02\n",
      "Train Epoch: 124 [33280/50000 (74%)]\tLoss: 0.010652, Accuracy: 99.61\n",
      "Train Epoch: 124 [35840/50000 (80%)]\tLoss: 0.011306, Accuracy: 99.80\n",
      "Train Epoch: 124 [38400/50000 (85%)]\tLoss: 0.009759, Accuracy: 99.80\n",
      "Train Epoch: 124 [40960/50000 (91%)]\tLoss: 0.007942, Accuracy: 99.80\n",
      "Train Epoch: 124 [43520/50000 (97%)]\tLoss: 0.012099, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.2591, Accuracy: 4651/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.968650817871094 s]\n",
      "Train Epoch: 125 [0/50000 (0%)]\tLoss: 0.008731, Accuracy: 99.80\n",
      "Train Epoch: 125 [2560/50000 (6%)]\tLoss: 0.007836, Accuracy: 99.80\n",
      "Train Epoch: 125 [5120/50000 (11%)]\tLoss: 0.010937, Accuracy: 99.80\n",
      "Train Epoch: 125 [7680/50000 (17%)]\tLoss: 0.014258, Accuracy: 99.61\n",
      "Train Epoch: 125 [10240/50000 (23%)]\tLoss: 0.016677, Accuracy: 99.80\n",
      "Train Epoch: 125 [12800/50000 (28%)]\tLoss: 0.013533, Accuracy: 99.80\n",
      "Train Epoch: 125 [15360/50000 (34%)]\tLoss: 0.018068, Accuracy: 99.61\n",
      "Train Epoch: 125 [17920/50000 (40%)]\tLoss: 0.008485, Accuracy: 100.00\n",
      "Train Epoch: 125 [20480/50000 (45%)]\tLoss: 0.010587, Accuracy: 99.80\n",
      "Train Epoch: 125 [23040/50000 (51%)]\tLoss: 0.005735, Accuracy: 100.00\n",
      "Train Epoch: 125 [25600/50000 (57%)]\tLoss: 0.013828, Accuracy: 99.80\n",
      "Train Epoch: 125 [28160/50000 (62%)]\tLoss: 0.014535, Accuracy: 99.22\n",
      "Train Epoch: 125 [30720/50000 (68%)]\tLoss: 0.014260, Accuracy: 99.61\n",
      "Train Epoch: 125 [33280/50000 (74%)]\tLoss: 0.014001, Accuracy: 99.80\n",
      "Train Epoch: 125 [35840/50000 (80%)]\tLoss: 0.013960, Accuracy: 99.61\n",
      "Train Epoch: 125 [38400/50000 (85%)]\tLoss: 0.006031, Accuracy: 100.00\n",
      "Train Epoch: 125 [40960/50000 (91%)]\tLoss: 0.009094, Accuracy: 99.80\n",
      "Train Epoch: 125 [43520/50000 (97%)]\tLoss: 0.009474, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2628, Accuracy: 4648/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.59644842147827 s]\n",
      "Train Epoch: 126 [0/50000 (0%)]\tLoss: 0.013667, Accuracy: 99.61\n",
      "Train Epoch: 126 [2560/50000 (6%)]\tLoss: 0.010227, Accuracy: 99.61\n",
      "Train Epoch: 126 [5120/50000 (11%)]\tLoss: 0.013334, Accuracy: 99.61\n",
      "Train Epoch: 126 [7680/50000 (17%)]\tLoss: 0.008605, Accuracy: 99.80\n",
      "Train Epoch: 126 [10240/50000 (23%)]\tLoss: 0.020057, Accuracy: 99.41\n",
      "Train Epoch: 126 [12800/50000 (28%)]\tLoss: 0.009360, Accuracy: 99.80\n",
      "Train Epoch: 126 [15360/50000 (34%)]\tLoss: 0.006824, Accuracy: 100.00\n",
      "Train Epoch: 126 [17920/50000 (40%)]\tLoss: 0.014742, Accuracy: 99.80\n",
      "Train Epoch: 126 [20480/50000 (45%)]\tLoss: 0.006893, Accuracy: 100.00\n",
      "Train Epoch: 126 [23040/50000 (51%)]\tLoss: 0.010613, Accuracy: 99.80\n",
      "Train Epoch: 126 [25600/50000 (57%)]\tLoss: 0.010549, Accuracy: 99.61\n",
      "Train Epoch: 126 [28160/50000 (62%)]\tLoss: 0.023310, Accuracy: 99.22\n",
      "Train Epoch: 126 [30720/50000 (68%)]\tLoss: 0.007946, Accuracy: 99.80\n",
      "Train Epoch: 126 [33280/50000 (74%)]\tLoss: 0.008824, Accuracy: 99.61\n",
      "Train Epoch: 126 [35840/50000 (80%)]\tLoss: 0.022749, Accuracy: 99.61\n",
      "Train Epoch: 126 [38400/50000 (85%)]\tLoss: 0.006320, Accuracy: 99.80\n",
      "Train Epoch: 126 [40960/50000 (91%)]\tLoss: 0.006055, Accuracy: 100.00\n",
      "Train Epoch: 126 [43520/50000 (97%)]\tLoss: 0.014226, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2640, Accuracy: 4650/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.958406686782837 s]\n",
      "Train Epoch: 127 [0/50000 (0%)]\tLoss: 0.010294, Accuracy: 99.61\n",
      "Train Epoch: 127 [2560/50000 (6%)]\tLoss: 0.006581, Accuracy: 100.00\n",
      "Train Epoch: 127 [5120/50000 (11%)]\tLoss: 0.009451, Accuracy: 99.61\n",
      "Train Epoch: 127 [7680/50000 (17%)]\tLoss: 0.006545, Accuracy: 99.80\n",
      "Train Epoch: 127 [10240/50000 (23%)]\tLoss: 0.007101, Accuracy: 99.80\n",
      "Train Epoch: 127 [12800/50000 (28%)]\tLoss: 0.009429, Accuracy: 99.61\n",
      "Train Epoch: 127 [15360/50000 (34%)]\tLoss: 0.017157, Accuracy: 99.41\n",
      "Train Epoch: 127 [17920/50000 (40%)]\tLoss: 0.009541, Accuracy: 100.00\n",
      "Train Epoch: 127 [20480/50000 (45%)]\tLoss: 0.009854, Accuracy: 99.80\n",
      "Train Epoch: 127 [23040/50000 (51%)]\tLoss: 0.022404, Accuracy: 99.02\n",
      "Train Epoch: 127 [25600/50000 (57%)]\tLoss: 0.009125, Accuracy: 99.61\n",
      "Train Epoch: 127 [28160/50000 (62%)]\tLoss: 0.013276, Accuracy: 99.80\n",
      "Train Epoch: 127 [30720/50000 (68%)]\tLoss: 0.006339, Accuracy: 100.00\n",
      "Train Epoch: 127 [33280/50000 (74%)]\tLoss: 0.013177, Accuracy: 99.61\n",
      "Train Epoch: 127 [35840/50000 (80%)]\tLoss: 0.008746, Accuracy: 99.80\n",
      "Train Epoch: 127 [38400/50000 (85%)]\tLoss: 0.019884, Accuracy: 99.22\n",
      "Train Epoch: 127 [40960/50000 (91%)]\tLoss: 0.010273, Accuracy: 99.61\n",
      "Train Epoch: 127 [43520/50000 (97%)]\tLoss: 0.009301, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2673, Accuracy: 4646/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.978065252304077 s]\n",
      "Train Epoch: 128 [0/50000 (0%)]\tLoss: 0.010496, Accuracy: 99.80\n",
      "Train Epoch: 128 [2560/50000 (6%)]\tLoss: 0.011175, Accuracy: 99.61\n",
      "Train Epoch: 128 [5120/50000 (11%)]\tLoss: 0.009774, Accuracy: 99.80\n",
      "Train Epoch: 128 [7680/50000 (17%)]\tLoss: 0.005689, Accuracy: 100.00\n",
      "Train Epoch: 128 [10240/50000 (23%)]\tLoss: 0.012840, Accuracy: 99.61\n",
      "Train Epoch: 128 [12800/50000 (28%)]\tLoss: 0.012788, Accuracy: 99.61\n",
      "Train Epoch: 128 [15360/50000 (34%)]\tLoss: 0.009339, Accuracy: 99.80\n",
      "Train Epoch: 128 [17920/50000 (40%)]\tLoss: 0.008153, Accuracy: 99.80\n",
      "Train Epoch: 128 [20480/50000 (45%)]\tLoss: 0.007833, Accuracy: 99.80\n",
      "Train Epoch: 128 [23040/50000 (51%)]\tLoss: 0.008396, Accuracy: 99.80\n",
      "Train Epoch: 128 [25600/50000 (57%)]\tLoss: 0.005553, Accuracy: 100.00\n",
      "Train Epoch: 128 [28160/50000 (62%)]\tLoss: 0.012596, Accuracy: 99.61\n",
      "Train Epoch: 128 [30720/50000 (68%)]\tLoss: 0.010670, Accuracy: 99.80\n",
      "Train Epoch: 128 [33280/50000 (74%)]\tLoss: 0.008787, Accuracy: 100.00\n",
      "Train Epoch: 128 [35840/50000 (80%)]\tLoss: 0.012873, Accuracy: 99.80\n",
      "Train Epoch: 128 [38400/50000 (85%)]\tLoss: 0.020888, Accuracy: 99.80\n",
      "Train Epoch: 128 [40960/50000 (91%)]\tLoss: 0.011445, Accuracy: 99.61\n",
      "Train Epoch: 128 [43520/50000 (97%)]\tLoss: 0.010088, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.2713, Accuracy: 4653/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.92769718170166 s]\n",
      "Train Epoch: 129 [0/50000 (0%)]\tLoss: 0.009896, Accuracy: 100.00\n",
      "Train Epoch: 129 [2560/50000 (6%)]\tLoss: 0.006635, Accuracy: 100.00\n",
      "Train Epoch: 129 [5120/50000 (11%)]\tLoss: 0.010383, Accuracy: 99.61\n",
      "Train Epoch: 129 [7680/50000 (17%)]\tLoss: 0.006409, Accuracy: 99.80\n",
      "Train Epoch: 129 [10240/50000 (23%)]\tLoss: 0.013693, Accuracy: 99.41\n",
      "Train Epoch: 129 [12800/50000 (28%)]\tLoss: 0.007680, Accuracy: 100.00\n",
      "Train Epoch: 129 [15360/50000 (34%)]\tLoss: 0.005989, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 129 [17920/50000 (40%)]\tLoss: 0.006932, Accuracy: 100.00\n",
      "Train Epoch: 129 [20480/50000 (45%)]\tLoss: 0.005947, Accuracy: 100.00\n",
      "Train Epoch: 129 [23040/50000 (51%)]\tLoss: 0.010727, Accuracy: 99.80\n",
      "Train Epoch: 129 [25600/50000 (57%)]\tLoss: 0.012561, Accuracy: 99.61\n",
      "Train Epoch: 129 [28160/50000 (62%)]\tLoss: 0.005680, Accuracy: 100.00\n",
      "Train Epoch: 129 [30720/50000 (68%)]\tLoss: 0.015915, Accuracy: 99.61\n",
      "Train Epoch: 129 [33280/50000 (74%)]\tLoss: 0.010622, Accuracy: 99.41\n",
      "Train Epoch: 129 [35840/50000 (80%)]\tLoss: 0.016184, Accuracy: 99.61\n",
      "Train Epoch: 129 [38400/50000 (85%)]\tLoss: 0.017366, Accuracy: 99.61\n",
      "Train Epoch: 129 [40960/50000 (91%)]\tLoss: 0.010152, Accuracy: 99.80\n",
      "Train Epoch: 129 [43520/50000 (97%)]\tLoss: 0.006962, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2703, Accuracy: 4656/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.909712314605713 s]\n",
      "Train Epoch: 130 [0/50000 (0%)]\tLoss: 0.005321, Accuracy: 100.00\n",
      "Train Epoch: 130 [2560/50000 (6%)]\tLoss: 0.005807, Accuracy: 100.00\n",
      "Train Epoch: 130 [5120/50000 (11%)]\tLoss: 0.007524, Accuracy: 99.80\n",
      "Train Epoch: 130 [7680/50000 (17%)]\tLoss: 0.003516, Accuracy: 100.00\n",
      "Train Epoch: 130 [10240/50000 (23%)]\tLoss: 0.005891, Accuracy: 100.00\n",
      "Train Epoch: 130 [12800/50000 (28%)]\tLoss: 0.006802, Accuracy: 99.80\n",
      "Train Epoch: 130 [15360/50000 (34%)]\tLoss: 0.020807, Accuracy: 99.22\n",
      "Train Epoch: 130 [17920/50000 (40%)]\tLoss: 0.004250, Accuracy: 100.00\n",
      "Train Epoch: 130 [20480/50000 (45%)]\tLoss: 0.006179, Accuracy: 100.00\n",
      "Train Epoch: 130 [23040/50000 (51%)]\tLoss: 0.008496, Accuracy: 100.00\n",
      "Train Epoch: 130 [25600/50000 (57%)]\tLoss: 0.008262, Accuracy: 99.80\n",
      "Train Epoch: 130 [28160/50000 (62%)]\tLoss: 0.012127, Accuracy: 99.61\n",
      "Train Epoch: 130 [30720/50000 (68%)]\tLoss: 0.009112, Accuracy: 99.61\n",
      "Train Epoch: 130 [33280/50000 (74%)]\tLoss: 0.003678, Accuracy: 100.00\n",
      "Train Epoch: 130 [35840/50000 (80%)]\tLoss: 0.020128, Accuracy: 99.02\n",
      "Train Epoch: 130 [38400/50000 (85%)]\tLoss: 0.008823, Accuracy: 99.80\n",
      "Train Epoch: 130 [40960/50000 (91%)]\tLoss: 0.014369, Accuracy: 99.80\n",
      "Train Epoch: 130 [43520/50000 (97%)]\tLoss: 0.006893, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2748, Accuracy: 4645/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.95126247406006 s]\n",
      "\n",
      "Test set: Average loss: 0.3107, Accuracy: 9262/10000 (92.62%)\n",
      "\n",
      "Train Epoch: 131 [0/50000 (0%)]\tLoss: 0.007691, Accuracy: 99.80\n",
      "Train Epoch: 131 [2560/50000 (6%)]\tLoss: 0.005651, Accuracy: 100.00\n",
      "Train Epoch: 131 [5120/50000 (11%)]\tLoss: 0.009231, Accuracy: 99.80\n",
      "Train Epoch: 131 [7680/50000 (17%)]\tLoss: 0.009893, Accuracy: 99.80\n",
      "Train Epoch: 131 [10240/50000 (23%)]\tLoss: 0.006335, Accuracy: 100.00\n",
      "Train Epoch: 131 [12800/50000 (28%)]\tLoss: 0.009667, Accuracy: 99.80\n",
      "Train Epoch: 131 [15360/50000 (34%)]\tLoss: 0.006115, Accuracy: 100.00\n",
      "Train Epoch: 131 [17920/50000 (40%)]\tLoss: 0.004506, Accuracy: 100.00\n",
      "Train Epoch: 131 [20480/50000 (45%)]\tLoss: 0.005700, Accuracy: 99.80\n",
      "Train Epoch: 131 [23040/50000 (51%)]\tLoss: 0.005161, Accuracy: 100.00\n",
      "Train Epoch: 131 [25600/50000 (57%)]\tLoss: 0.006075, Accuracy: 100.00\n",
      "Train Epoch: 131 [28160/50000 (62%)]\tLoss: 0.010954, Accuracy: 99.61\n",
      "Train Epoch: 131 [30720/50000 (68%)]\tLoss: 0.015625, Accuracy: 99.41\n",
      "Train Epoch: 131 [33280/50000 (74%)]\tLoss: 0.006950, Accuracy: 99.80\n",
      "Train Epoch: 131 [35840/50000 (80%)]\tLoss: 0.016886, Accuracy: 99.41\n",
      "Train Epoch: 131 [38400/50000 (85%)]\tLoss: 0.012887, Accuracy: 99.61\n",
      "Train Epoch: 131 [40960/50000 (91%)]\tLoss: 0.005874, Accuracy: 100.00\n",
      "Train Epoch: 131 [43520/50000 (97%)]\tLoss: 0.006896, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2765, Accuracy: 4638/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[34.765262842178345 s]\n",
      "Train Epoch: 132 [0/50000 (0%)]\tLoss: 0.004046, Accuracy: 100.00\n",
      "Train Epoch: 132 [2560/50000 (6%)]\tLoss: 0.009809, Accuracy: 99.80\n",
      "Train Epoch: 132 [5120/50000 (11%)]\tLoss: 0.003369, Accuracy: 100.00\n",
      "Train Epoch: 132 [7680/50000 (17%)]\tLoss: 0.009281, Accuracy: 100.00\n",
      "Train Epoch: 132 [10240/50000 (23%)]\tLoss: 0.005804, Accuracy: 100.00\n",
      "Train Epoch: 132 [12800/50000 (28%)]\tLoss: 0.005747, Accuracy: 100.00\n",
      "Train Epoch: 132 [15360/50000 (34%)]\tLoss: 0.010119, Accuracy: 99.80\n",
      "Train Epoch: 132 [17920/50000 (40%)]\tLoss: 0.007187, Accuracy: 99.61\n",
      "Train Epoch: 132 [20480/50000 (45%)]\tLoss: 0.009654, Accuracy: 99.80\n",
      "Train Epoch: 132 [23040/50000 (51%)]\tLoss: 0.005785, Accuracy: 100.00\n",
      "Train Epoch: 132 [25600/50000 (57%)]\tLoss: 0.008246, Accuracy: 99.80\n",
      "Train Epoch: 132 [28160/50000 (62%)]\tLoss: 0.002839, Accuracy: 100.00\n",
      "Train Epoch: 132 [30720/50000 (68%)]\tLoss: 0.009979, Accuracy: 100.00\n",
      "Train Epoch: 132 [33280/50000 (74%)]\tLoss: 0.005193, Accuracy: 100.00\n",
      "Train Epoch: 132 [35840/50000 (80%)]\tLoss: 0.004143, Accuracy: 100.00\n",
      "Train Epoch: 132 [38400/50000 (85%)]\tLoss: 0.006894, Accuracy: 99.80\n",
      "Train Epoch: 132 [40960/50000 (91%)]\tLoss: 0.008585, Accuracy: 100.00\n",
      "Train Epoch: 132 [43520/50000 (97%)]\tLoss: 0.005908, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2761, Accuracy: 4644/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.976162910461426 s]\n",
      "Train Epoch: 133 [0/50000 (0%)]\tLoss: 0.010484, Accuracy: 99.80\n",
      "Train Epoch: 133 [2560/50000 (6%)]\tLoss: 0.008300, Accuracy: 99.80\n",
      "Train Epoch: 133 [5120/50000 (11%)]\tLoss: 0.003827, Accuracy: 100.00\n",
      "Train Epoch: 133 [7680/50000 (17%)]\tLoss: 0.013868, Accuracy: 99.61\n",
      "Train Epoch: 133 [10240/50000 (23%)]\tLoss: 0.005907, Accuracy: 100.00\n",
      "Train Epoch: 133 [12800/50000 (28%)]\tLoss: 0.009095, Accuracy: 99.80\n",
      "Train Epoch: 133 [15360/50000 (34%)]\tLoss: 0.009335, Accuracy: 99.80\n",
      "Train Epoch: 133 [17920/50000 (40%)]\tLoss: 0.004076, Accuracy: 100.00\n",
      "Train Epoch: 133 [20480/50000 (45%)]\tLoss: 0.013543, Accuracy: 99.80\n",
      "Train Epoch: 133 [23040/50000 (51%)]\tLoss: 0.004482, Accuracy: 100.00\n",
      "Train Epoch: 133 [25600/50000 (57%)]\tLoss: 0.012278, Accuracy: 99.41\n",
      "Train Epoch: 133 [28160/50000 (62%)]\tLoss: 0.008554, Accuracy: 99.80\n",
      "Train Epoch: 133 [30720/50000 (68%)]\tLoss: 0.012739, Accuracy: 99.61\n",
      "Train Epoch: 133 [33280/50000 (74%)]\tLoss: 0.007717, Accuracy: 99.80\n",
      "Train Epoch: 133 [35840/50000 (80%)]\tLoss: 0.003594, Accuracy: 100.00\n",
      "Train Epoch: 133 [38400/50000 (85%)]\tLoss: 0.005325, Accuracy: 100.00\n",
      "Train Epoch: 133 [40960/50000 (91%)]\tLoss: 0.008372, Accuracy: 99.61\n",
      "Train Epoch: 133 [43520/50000 (97%)]\tLoss: 0.004255, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2797, Accuracy: 4656/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.94803237915039 s]\n",
      "Train Epoch: 134 [0/50000 (0%)]\tLoss: 0.004481, Accuracy: 100.00\n",
      "Train Epoch: 134 [2560/50000 (6%)]\tLoss: 0.018139, Accuracy: 99.61\n",
      "Train Epoch: 134 [5120/50000 (11%)]\tLoss: 0.013503, Accuracy: 99.41\n",
      "Train Epoch: 134 [7680/50000 (17%)]\tLoss: 0.006642, Accuracy: 100.00\n",
      "Train Epoch: 134 [10240/50000 (23%)]\tLoss: 0.003371, Accuracy: 100.00\n",
      "Train Epoch: 134 [12800/50000 (28%)]\tLoss: 0.006129, Accuracy: 100.00\n",
      "Train Epoch: 134 [15360/50000 (34%)]\tLoss: 0.014405, Accuracy: 99.80\n",
      "Train Epoch: 134 [17920/50000 (40%)]\tLoss: 0.005342, Accuracy: 100.00\n",
      "Train Epoch: 134 [20480/50000 (45%)]\tLoss: 0.005605, Accuracy: 100.00\n",
      "Train Epoch: 134 [23040/50000 (51%)]\tLoss: 0.014706, Accuracy: 99.80\n",
      "Train Epoch: 134 [25600/50000 (57%)]\tLoss: 0.005983, Accuracy: 99.80\n",
      "Train Epoch: 134 [28160/50000 (62%)]\tLoss: 0.003930, Accuracy: 100.00\n",
      "Train Epoch: 134 [30720/50000 (68%)]\tLoss: 0.009718, Accuracy: 99.61\n",
      "Train Epoch: 134 [33280/50000 (74%)]\tLoss: 0.006261, Accuracy: 100.00\n",
      "Train Epoch: 134 [35840/50000 (80%)]\tLoss: 0.008937, Accuracy: 99.80\n",
      "Train Epoch: 134 [38400/50000 (85%)]\tLoss: 0.004846, Accuracy: 100.00\n",
      "Train Epoch: 134 [40960/50000 (91%)]\tLoss: 0.010503, Accuracy: 99.80\n",
      "Train Epoch: 134 [43520/50000 (97%)]\tLoss: 0.004658, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2752, Accuracy: 4648/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.976465225219727 s]\n",
      "Train Epoch: 135 [0/50000 (0%)]\tLoss: 0.004307, Accuracy: 100.00\n",
      "Train Epoch: 135 [2560/50000 (6%)]\tLoss: 0.008507, Accuracy: 99.80\n",
      "Train Epoch: 135 [5120/50000 (11%)]\tLoss: 0.006895, Accuracy: 100.00\n",
      "Train Epoch: 135 [7680/50000 (17%)]\tLoss: 0.005271, Accuracy: 100.00\n",
      "Train Epoch: 135 [10240/50000 (23%)]\tLoss: 0.005889, Accuracy: 100.00\n",
      "Train Epoch: 135 [12800/50000 (28%)]\tLoss: 0.005558, Accuracy: 99.80\n",
      "Train Epoch: 135 [15360/50000 (34%)]\tLoss: 0.003319, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 135 [17920/50000 (40%)]\tLoss: 0.012094, Accuracy: 99.80\n",
      "Train Epoch: 135 [20480/50000 (45%)]\tLoss: 0.003230, Accuracy: 100.00\n",
      "Train Epoch: 135 [23040/50000 (51%)]\tLoss: 0.007295, Accuracy: 100.00\n",
      "Train Epoch: 135 [25600/50000 (57%)]\tLoss: 0.006293, Accuracy: 99.80\n",
      "Train Epoch: 135 [28160/50000 (62%)]\tLoss: 0.003380, Accuracy: 100.00\n",
      "Train Epoch: 135 [30720/50000 (68%)]\tLoss: 0.014463, Accuracy: 99.61\n",
      "Train Epoch: 135 [33280/50000 (74%)]\tLoss: 0.008709, Accuracy: 99.80\n",
      "Train Epoch: 135 [35840/50000 (80%)]\tLoss: 0.012259, Accuracy: 99.61\n",
      "Train Epoch: 135 [38400/50000 (85%)]\tLoss: 0.011633, Accuracy: 99.61\n",
      "Train Epoch: 135 [40960/50000 (91%)]\tLoss: 0.009823, Accuracy: 99.61\n",
      "Train Epoch: 135 [43520/50000 (97%)]\tLoss: 0.007815, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2819, Accuracy: 4663/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.68504524230957 s]\n",
      "Train Epoch: 136 [0/50000 (0%)]\tLoss: 0.010037, Accuracy: 99.61\n",
      "Train Epoch: 136 [2560/50000 (6%)]\tLoss: 0.004216, Accuracy: 100.00\n",
      "Train Epoch: 136 [5120/50000 (11%)]\tLoss: 0.005726, Accuracy: 100.00\n",
      "Train Epoch: 136 [7680/50000 (17%)]\tLoss: 0.004573, Accuracy: 100.00\n",
      "Train Epoch: 136 [10240/50000 (23%)]\tLoss: 0.007319, Accuracy: 100.00\n",
      "Train Epoch: 136 [12800/50000 (28%)]\tLoss: 0.016998, Accuracy: 99.22\n",
      "Train Epoch: 136 [15360/50000 (34%)]\tLoss: 0.007064, Accuracy: 99.80\n",
      "Train Epoch: 136 [17920/50000 (40%)]\tLoss: 0.007800, Accuracy: 99.80\n",
      "Train Epoch: 136 [20480/50000 (45%)]\tLoss: 0.004460, Accuracy: 100.00\n",
      "Train Epoch: 136 [23040/50000 (51%)]\tLoss: 0.006500, Accuracy: 99.80\n",
      "Train Epoch: 136 [25600/50000 (57%)]\tLoss: 0.012234, Accuracy: 99.41\n",
      "Train Epoch: 136 [28160/50000 (62%)]\tLoss: 0.005348, Accuracy: 100.00\n",
      "Train Epoch: 136 [30720/50000 (68%)]\tLoss: 0.003258, Accuracy: 100.00\n",
      "Train Epoch: 136 [33280/50000 (74%)]\tLoss: 0.007653, Accuracy: 99.80\n",
      "Train Epoch: 136 [35840/50000 (80%)]\tLoss: 0.016731, Accuracy: 99.61\n",
      "Train Epoch: 136 [38400/50000 (85%)]\tLoss: 0.003968, Accuracy: 100.00\n",
      "Train Epoch: 136 [40960/50000 (91%)]\tLoss: 0.005313, Accuracy: 99.80\n",
      "Train Epoch: 136 [43520/50000 (97%)]\tLoss: 0.004718, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2742, Accuracy: 4665/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.701452016830444 s]\n",
      "Train Epoch: 137 [0/50000 (0%)]\tLoss: 0.009773, Accuracy: 99.61\n",
      "Train Epoch: 137 [2560/50000 (6%)]\tLoss: 0.004715, Accuracy: 100.00\n",
      "Train Epoch: 137 [5120/50000 (11%)]\tLoss: 0.011008, Accuracy: 99.61\n",
      "Train Epoch: 137 [7680/50000 (17%)]\tLoss: 0.009733, Accuracy: 99.80\n",
      "Train Epoch: 137 [10240/50000 (23%)]\tLoss: 0.003764, Accuracy: 100.00\n",
      "Train Epoch: 137 [12800/50000 (28%)]\tLoss: 0.007341, Accuracy: 99.80\n",
      "Train Epoch: 137 [15360/50000 (34%)]\tLoss: 0.006739, Accuracy: 99.80\n",
      "Train Epoch: 137 [17920/50000 (40%)]\tLoss: 0.007300, Accuracy: 99.80\n",
      "Train Epoch: 137 [20480/50000 (45%)]\tLoss: 0.009292, Accuracy: 100.00\n",
      "Train Epoch: 137 [23040/50000 (51%)]\tLoss: 0.007858, Accuracy: 99.80\n",
      "Train Epoch: 137 [25600/50000 (57%)]\tLoss: 0.008011, Accuracy: 99.80\n",
      "Train Epoch: 137 [28160/50000 (62%)]\tLoss: 0.004884, Accuracy: 100.00\n",
      "Train Epoch: 137 [30720/50000 (68%)]\tLoss: 0.007146, Accuracy: 99.80\n",
      "Train Epoch: 137 [33280/50000 (74%)]\tLoss: 0.011495, Accuracy: 99.61\n",
      "Train Epoch: 137 [35840/50000 (80%)]\tLoss: 0.005238, Accuracy: 99.80\n",
      "Train Epoch: 137 [38400/50000 (85%)]\tLoss: 0.005647, Accuracy: 100.00\n",
      "Train Epoch: 137 [40960/50000 (91%)]\tLoss: 0.018552, Accuracy: 99.02\n",
      "Train Epoch: 137 [43520/50000 (97%)]\tLoss: 0.005152, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2806, Accuracy: 4648/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.95298457145691 s]\n",
      "Train Epoch: 138 [0/50000 (0%)]\tLoss: 0.007121, Accuracy: 99.80\n",
      "Train Epoch: 138 [2560/50000 (6%)]\tLoss: 0.004148, Accuracy: 100.00\n",
      "Train Epoch: 138 [5120/50000 (11%)]\tLoss: 0.003067, Accuracy: 100.00\n",
      "Train Epoch: 138 [7680/50000 (17%)]\tLoss: 0.003483, Accuracy: 100.00\n",
      "Train Epoch: 138 [10240/50000 (23%)]\tLoss: 0.005810, Accuracy: 100.00\n",
      "Train Epoch: 138 [12800/50000 (28%)]\tLoss: 0.008633, Accuracy: 99.61\n",
      "Train Epoch: 138 [15360/50000 (34%)]\tLoss: 0.006010, Accuracy: 100.00\n",
      "Train Epoch: 138 [17920/50000 (40%)]\tLoss: 0.002863, Accuracy: 100.00\n",
      "Train Epoch: 138 [20480/50000 (45%)]\tLoss: 0.007551, Accuracy: 99.80\n",
      "Train Epoch: 138 [23040/50000 (51%)]\tLoss: 0.003171, Accuracy: 100.00\n",
      "Train Epoch: 138 [25600/50000 (57%)]\tLoss: 0.006049, Accuracy: 99.80\n",
      "Train Epoch: 138 [28160/50000 (62%)]\tLoss: 0.003647, Accuracy: 100.00\n",
      "Train Epoch: 138 [30720/50000 (68%)]\tLoss: 0.003384, Accuracy: 100.00\n",
      "Train Epoch: 138 [33280/50000 (74%)]\tLoss: 0.004869, Accuracy: 100.00\n",
      "Train Epoch: 138 [35840/50000 (80%)]\tLoss: 0.007470, Accuracy: 100.00\n",
      "Train Epoch: 138 [38400/50000 (85%)]\tLoss: 0.007461, Accuracy: 100.00\n",
      "Train Epoch: 138 [40960/50000 (91%)]\tLoss: 0.006494, Accuracy: 99.80\n",
      "Train Epoch: 138 [43520/50000 (97%)]\tLoss: 0.003422, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2818, Accuracy: 4651/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.927953720092773 s]\n",
      "Train Epoch: 139 [0/50000 (0%)]\tLoss: 0.002125, Accuracy: 100.00\n",
      "Train Epoch: 139 [2560/50000 (6%)]\tLoss: 0.002694, Accuracy: 100.00\n",
      "Train Epoch: 139 [5120/50000 (11%)]\tLoss: 0.009523, Accuracy: 99.80\n",
      "Train Epoch: 139 [7680/50000 (17%)]\tLoss: 0.004632, Accuracy: 100.00\n",
      "Train Epoch: 139 [10240/50000 (23%)]\tLoss: 0.006086, Accuracy: 100.00\n",
      "Train Epoch: 139 [12800/50000 (28%)]\tLoss: 0.003368, Accuracy: 100.00\n",
      "Train Epoch: 139 [15360/50000 (34%)]\tLoss: 0.004370, Accuracy: 100.00\n",
      "Train Epoch: 139 [17920/50000 (40%)]\tLoss: 0.005608, Accuracy: 99.80\n",
      "Train Epoch: 139 [20480/50000 (45%)]\tLoss: 0.008693, Accuracy: 99.61\n",
      "Train Epoch: 139 [23040/50000 (51%)]\tLoss: 0.004108, Accuracy: 100.00\n",
      "Train Epoch: 139 [25600/50000 (57%)]\tLoss: 0.006351, Accuracy: 99.80\n",
      "Train Epoch: 139 [28160/50000 (62%)]\tLoss: 0.010454, Accuracy: 99.61\n",
      "Train Epoch: 139 [30720/50000 (68%)]\tLoss: 0.003113, Accuracy: 100.00\n",
      "Train Epoch: 139 [33280/50000 (74%)]\tLoss: 0.004652, Accuracy: 100.00\n",
      "Train Epoch: 139 [35840/50000 (80%)]\tLoss: 0.007002, Accuracy: 100.00\n",
      "Train Epoch: 139 [38400/50000 (85%)]\tLoss: 0.004472, Accuracy: 100.00\n",
      "Train Epoch: 139 [40960/50000 (91%)]\tLoss: 0.006942, Accuracy: 99.80\n",
      "Train Epoch: 139 [43520/50000 (97%)]\tLoss: 0.003646, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2810, Accuracy: 4668/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.935728073120117 s]\n",
      "Train Epoch: 140 [0/50000 (0%)]\tLoss: 0.008920, Accuracy: 99.80\n",
      "Train Epoch: 140 [2560/50000 (6%)]\tLoss: 0.017219, Accuracy: 99.41\n",
      "Train Epoch: 140 [5120/50000 (11%)]\tLoss: 0.006636, Accuracy: 99.80\n",
      "Train Epoch: 140 [7680/50000 (17%)]\tLoss: 0.009358, Accuracy: 99.61\n",
      "Train Epoch: 140 [10240/50000 (23%)]\tLoss: 0.008860, Accuracy: 100.00\n",
      "Train Epoch: 140 [12800/50000 (28%)]\tLoss: 0.019479, Accuracy: 99.41\n",
      "Train Epoch: 140 [15360/50000 (34%)]\tLoss: 0.009957, Accuracy: 99.80\n",
      "Train Epoch: 140 [17920/50000 (40%)]\tLoss: 0.006204, Accuracy: 99.80\n",
      "Train Epoch: 140 [20480/50000 (45%)]\tLoss: 0.004888, Accuracy: 100.00\n",
      "Train Epoch: 140 [23040/50000 (51%)]\tLoss: 0.004534, Accuracy: 100.00\n",
      "Train Epoch: 140 [25600/50000 (57%)]\tLoss: 0.003986, Accuracy: 100.00\n",
      "Train Epoch: 140 [28160/50000 (62%)]\tLoss: 0.003990, Accuracy: 100.00\n",
      "Train Epoch: 140 [30720/50000 (68%)]\tLoss: 0.004287, Accuracy: 100.00\n",
      "Train Epoch: 140 [33280/50000 (74%)]\tLoss: 0.007015, Accuracy: 99.80\n",
      "Train Epoch: 140 [35840/50000 (80%)]\tLoss: 0.006127, Accuracy: 99.80\n",
      "Train Epoch: 140 [38400/50000 (85%)]\tLoss: 0.006926, Accuracy: 100.00\n",
      "Train Epoch: 140 [40960/50000 (91%)]\tLoss: 0.004078, Accuracy: 100.00\n",
      "Train Epoch: 140 [43520/50000 (97%)]\tLoss: 0.004464, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2774, Accuracy: 4660/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.94552516937256 s]\n",
      "\n",
      "Test set: Average loss: 0.3220, Accuracy: 9269/10000 (92.69%)\n",
      "\n",
      "Train Epoch: 141 [0/50000 (0%)]\tLoss: 0.004261, Accuracy: 100.00\n",
      "Train Epoch: 141 [2560/50000 (6%)]\tLoss: 0.008290, Accuracy: 99.61\n",
      "Train Epoch: 141 [5120/50000 (11%)]\tLoss: 0.015622, Accuracy: 99.80\n",
      "Train Epoch: 141 [7680/50000 (17%)]\tLoss: 0.007216, Accuracy: 99.80\n",
      "Train Epoch: 141 [10240/50000 (23%)]\tLoss: 0.007356, Accuracy: 99.80\n",
      "Train Epoch: 141 [12800/50000 (28%)]\tLoss: 0.014199, Accuracy: 99.80\n",
      "Train Epoch: 141 [15360/50000 (34%)]\tLoss: 0.011476, Accuracy: 99.61\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 141 [17920/50000 (40%)]\tLoss: 0.006628, Accuracy: 99.80\n",
      "Train Epoch: 141 [20480/50000 (45%)]\tLoss: 0.004822, Accuracy: 100.00\n",
      "Train Epoch: 141 [23040/50000 (51%)]\tLoss: 0.004332, Accuracy: 100.00\n",
      "Train Epoch: 141 [25600/50000 (57%)]\tLoss: 0.004337, Accuracy: 100.00\n",
      "Train Epoch: 141 [28160/50000 (62%)]\tLoss: 0.007713, Accuracy: 99.61\n",
      "Train Epoch: 141 [30720/50000 (68%)]\tLoss: 0.004229, Accuracy: 100.00\n",
      "Train Epoch: 141 [33280/50000 (74%)]\tLoss: 0.002887, Accuracy: 100.00\n",
      "Train Epoch: 141 [35840/50000 (80%)]\tLoss: 0.011064, Accuracy: 99.80\n",
      "Train Epoch: 141 [38400/50000 (85%)]\tLoss: 0.005150, Accuracy: 99.80\n",
      "Train Epoch: 141 [40960/50000 (91%)]\tLoss: 0.005109, Accuracy: 99.80\n",
      "Train Epoch: 141 [43520/50000 (97%)]\tLoss: 0.002848, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2785, Accuracy: 4658/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.794472217559814 s]\n",
      "Train Epoch: 142 [0/50000 (0%)]\tLoss: 0.006068, Accuracy: 100.00\n",
      "Train Epoch: 142 [2560/50000 (6%)]\tLoss: 0.005271, Accuracy: 99.80\n",
      "Train Epoch: 142 [5120/50000 (11%)]\tLoss: 0.004607, Accuracy: 100.00\n",
      "Train Epoch: 142 [7680/50000 (17%)]\tLoss: 0.003761, Accuracy: 100.00\n",
      "Train Epoch: 142 [10240/50000 (23%)]\tLoss: 0.004574, Accuracy: 100.00\n",
      "Train Epoch: 142 [12800/50000 (28%)]\tLoss: 0.003373, Accuracy: 100.00\n",
      "Train Epoch: 142 [15360/50000 (34%)]\tLoss: 0.004107, Accuracy: 100.00\n",
      "Train Epoch: 142 [17920/50000 (40%)]\tLoss: 0.009663, Accuracy: 99.80\n",
      "Train Epoch: 142 [20480/50000 (45%)]\tLoss: 0.009427, Accuracy: 99.80\n",
      "Train Epoch: 142 [23040/50000 (51%)]\tLoss: 0.003752, Accuracy: 100.00\n",
      "Train Epoch: 142 [25600/50000 (57%)]\tLoss: 0.006227, Accuracy: 100.00\n",
      "Train Epoch: 142 [28160/50000 (62%)]\tLoss: 0.003917, Accuracy: 100.00\n",
      "Train Epoch: 142 [30720/50000 (68%)]\tLoss: 0.004073, Accuracy: 100.00\n",
      "Train Epoch: 142 [33280/50000 (74%)]\tLoss: 0.004930, Accuracy: 100.00\n",
      "Train Epoch: 142 [35840/50000 (80%)]\tLoss: 0.007694, Accuracy: 99.80\n",
      "Train Epoch: 142 [38400/50000 (85%)]\tLoss: 0.003056, Accuracy: 100.00\n",
      "Train Epoch: 142 [40960/50000 (91%)]\tLoss: 0.003494, Accuracy: 100.00\n",
      "Train Epoch: 142 [43520/50000 (97%)]\tLoss: 0.006317, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2837, Accuracy: 4660/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.943450927734375 s]\n",
      "Train Epoch: 143 [0/50000 (0%)]\tLoss: 0.002176, Accuracy: 100.00\n",
      "Train Epoch: 143 [2560/50000 (6%)]\tLoss: 0.004186, Accuracy: 99.80\n",
      "Train Epoch: 143 [5120/50000 (11%)]\tLoss: 0.003527, Accuracy: 100.00\n",
      "Train Epoch: 143 [7680/50000 (17%)]\tLoss: 0.004432, Accuracy: 100.00\n",
      "Train Epoch: 143 [10240/50000 (23%)]\tLoss: 0.003332, Accuracy: 100.00\n",
      "Train Epoch: 143 [12800/50000 (28%)]\tLoss: 0.005371, Accuracy: 100.00\n",
      "Train Epoch: 143 [15360/50000 (34%)]\tLoss: 0.003534, Accuracy: 100.00\n",
      "Train Epoch: 143 [17920/50000 (40%)]\tLoss: 0.005169, Accuracy: 99.80\n",
      "Train Epoch: 143 [20480/50000 (45%)]\tLoss: 0.008549, Accuracy: 99.80\n",
      "Train Epoch: 143 [23040/50000 (51%)]\tLoss: 0.011385, Accuracy: 99.61\n",
      "Train Epoch: 143 [25600/50000 (57%)]\tLoss: 0.010010, Accuracy: 99.61\n",
      "Train Epoch: 143 [28160/50000 (62%)]\tLoss: 0.003072, Accuracy: 100.00\n",
      "Train Epoch: 143 [30720/50000 (68%)]\tLoss: 0.004438, Accuracy: 100.00\n",
      "Train Epoch: 143 [33280/50000 (74%)]\tLoss: 0.002781, Accuracy: 100.00\n",
      "Train Epoch: 143 [35840/50000 (80%)]\tLoss: 0.003968, Accuracy: 100.00\n",
      "Train Epoch: 143 [38400/50000 (85%)]\tLoss: 0.002815, Accuracy: 100.00\n",
      "Train Epoch: 143 [40960/50000 (91%)]\tLoss: 0.010022, Accuracy: 99.61\n",
      "Train Epoch: 143 [43520/50000 (97%)]\tLoss: 0.009673, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2938, Accuracy: 4657/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.93453359603882 s]\n",
      "Train Epoch: 144 [0/50000 (0%)]\tLoss: 0.004765, Accuracy: 100.00\n",
      "Train Epoch: 144 [2560/50000 (6%)]\tLoss: 0.003696, Accuracy: 100.00\n",
      "Train Epoch: 144 [5120/50000 (11%)]\tLoss: 0.004402, Accuracy: 100.00\n",
      "Train Epoch: 144 [7680/50000 (17%)]\tLoss: 0.006987, Accuracy: 99.80\n",
      "Train Epoch: 144 [10240/50000 (23%)]\tLoss: 0.004241, Accuracy: 100.00\n",
      "Train Epoch: 144 [12800/50000 (28%)]\tLoss: 0.010670, Accuracy: 99.80\n",
      "Train Epoch: 144 [15360/50000 (34%)]\tLoss: 0.006240, Accuracy: 99.80\n",
      "Train Epoch: 144 [17920/50000 (40%)]\tLoss: 0.005048, Accuracy: 100.00\n",
      "Train Epoch: 144 [20480/50000 (45%)]\tLoss: 0.008705, Accuracy: 99.80\n",
      "Train Epoch: 144 [23040/50000 (51%)]\tLoss: 0.004403, Accuracy: 100.00\n",
      "Train Epoch: 144 [25600/50000 (57%)]\tLoss: 0.003017, Accuracy: 100.00\n",
      "Train Epoch: 144 [28160/50000 (62%)]\tLoss: 0.009982, Accuracy: 99.61\n",
      "Train Epoch: 144 [30720/50000 (68%)]\tLoss: 0.002563, Accuracy: 100.00\n",
      "Train Epoch: 144 [33280/50000 (74%)]\tLoss: 0.003498, Accuracy: 100.00\n",
      "Train Epoch: 144 [35840/50000 (80%)]\tLoss: 0.014499, Accuracy: 99.41\n",
      "Train Epoch: 144 [38400/50000 (85%)]\tLoss: 0.003521, Accuracy: 100.00\n",
      "Train Epoch: 144 [40960/50000 (91%)]\tLoss: 0.005363, Accuracy: 99.80\n",
      "Train Epoch: 144 [43520/50000 (97%)]\tLoss: 0.007204, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2852, Accuracy: 4645/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.945544958114624 s]\n",
      "Train Epoch: 145 [0/50000 (0%)]\tLoss: 0.002810, Accuracy: 100.00\n",
      "Train Epoch: 145 [2560/50000 (6%)]\tLoss: 0.007935, Accuracy: 99.80\n",
      "Train Epoch: 145 [5120/50000 (11%)]\tLoss: 0.005189, Accuracy: 100.00\n",
      "Train Epoch: 145 [7680/50000 (17%)]\tLoss: 0.004466, Accuracy: 99.80\n",
      "Train Epoch: 145 [10240/50000 (23%)]\tLoss: 0.005065, Accuracy: 99.80\n",
      "Train Epoch: 145 [12800/50000 (28%)]\tLoss: 0.004843, Accuracy: 99.80\n",
      "Train Epoch: 145 [15360/50000 (34%)]\tLoss: 0.003727, Accuracy: 100.00\n",
      "Train Epoch: 145 [17920/50000 (40%)]\tLoss: 0.004128, Accuracy: 100.00\n",
      "Train Epoch: 145 [20480/50000 (45%)]\tLoss: 0.005546, Accuracy: 100.00\n",
      "Train Epoch: 145 [23040/50000 (51%)]\tLoss: 0.004902, Accuracy: 100.00\n",
      "Train Epoch: 145 [25600/50000 (57%)]\tLoss: 0.004617, Accuracy: 100.00\n",
      "Train Epoch: 145 [28160/50000 (62%)]\tLoss: 0.005915, Accuracy: 99.80\n",
      "Train Epoch: 145 [30720/50000 (68%)]\tLoss: 0.005860, Accuracy: 100.00\n",
      "Train Epoch: 145 [33280/50000 (74%)]\tLoss: 0.002999, Accuracy: 100.00\n",
      "Train Epoch: 145 [35840/50000 (80%)]\tLoss: 0.002905, Accuracy: 100.00\n",
      "Train Epoch: 145 [38400/50000 (85%)]\tLoss: 0.013253, Accuracy: 99.41\n",
      "Train Epoch: 145 [40960/50000 (91%)]\tLoss: 0.003140, Accuracy: 100.00\n",
      "Train Epoch: 145 [43520/50000 (97%)]\tLoss: 0.006439, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2922, Accuracy: 4653/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.90480065345764 s]\n",
      "Train Epoch: 146 [0/50000 (0%)]\tLoss: 0.003657, Accuracy: 100.00\n",
      "Train Epoch: 146 [2560/50000 (6%)]\tLoss: 0.005088, Accuracy: 100.00\n",
      "Train Epoch: 146 [5120/50000 (11%)]\tLoss: 0.002829, Accuracy: 100.00\n",
      "Train Epoch: 146 [7680/50000 (17%)]\tLoss: 0.004870, Accuracy: 100.00\n",
      "Train Epoch: 146 [10240/50000 (23%)]\tLoss: 0.012917, Accuracy: 99.41\n",
      "Train Epoch: 146 [12800/50000 (28%)]\tLoss: 0.006764, Accuracy: 99.80\n",
      "Train Epoch: 146 [15360/50000 (34%)]\tLoss: 0.005486, Accuracy: 100.00\n",
      "Train Epoch: 146 [17920/50000 (40%)]\tLoss: 0.002572, Accuracy: 100.00\n",
      "Train Epoch: 146 [20480/50000 (45%)]\tLoss: 0.004194, Accuracy: 100.00\n",
      "Train Epoch: 146 [23040/50000 (51%)]\tLoss: 0.006339, Accuracy: 99.80\n",
      "Train Epoch: 146 [25600/50000 (57%)]\tLoss: 0.004085, Accuracy: 100.00\n",
      "Train Epoch: 146 [28160/50000 (62%)]\tLoss: 0.005604, Accuracy: 99.80\n",
      "Train Epoch: 146 [30720/50000 (68%)]\tLoss: 0.005963, Accuracy: 99.61\n",
      "Train Epoch: 146 [33280/50000 (74%)]\tLoss: 0.005346, Accuracy: 100.00\n",
      "Train Epoch: 146 [35840/50000 (80%)]\tLoss: 0.003501, Accuracy: 100.00\n",
      "Train Epoch: 146 [38400/50000 (85%)]\tLoss: 0.003320, Accuracy: 100.00\n",
      "Train Epoch: 146 [40960/50000 (91%)]\tLoss: 0.005620, Accuracy: 99.80\n",
      "Train Epoch: 146 [43520/50000 (97%)]\tLoss: 0.003948, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2889, Accuracy: 4666/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.89824366569519 s]\n",
      "Train Epoch: 147 [0/50000 (0%)]\tLoss: 0.007090, Accuracy: 99.61\n",
      "Train Epoch: 147 [2560/50000 (6%)]\tLoss: 0.003101, Accuracy: 100.00\n",
      "Train Epoch: 147 [5120/50000 (11%)]\tLoss: 0.002588, Accuracy: 100.00\n",
      "Train Epoch: 147 [7680/50000 (17%)]\tLoss: 0.006446, Accuracy: 99.80\n",
      "Train Epoch: 147 [10240/50000 (23%)]\tLoss: 0.004167, Accuracy: 100.00\n",
      "Train Epoch: 147 [12800/50000 (28%)]\tLoss: 0.008397, Accuracy: 99.80\n",
      "Train Epoch: 147 [15360/50000 (34%)]\tLoss: 0.008498, Accuracy: 100.00\n",
      "Train Epoch: 147 [17920/50000 (40%)]\tLoss: 0.003206, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 147 [20480/50000 (45%)]\tLoss: 0.007691, Accuracy: 99.80\n",
      "Train Epoch: 147 [23040/50000 (51%)]\tLoss: 0.004640, Accuracy: 99.80\n",
      "Train Epoch: 147 [25600/50000 (57%)]\tLoss: 0.004703, Accuracy: 99.80\n",
      "Train Epoch: 147 [28160/50000 (62%)]\tLoss: 0.003099, Accuracy: 100.00\n",
      "Train Epoch: 147 [30720/50000 (68%)]\tLoss: 0.003853, Accuracy: 100.00\n",
      "Train Epoch: 147 [33280/50000 (74%)]\tLoss: 0.004590, Accuracy: 100.00\n",
      "Train Epoch: 147 [35840/50000 (80%)]\tLoss: 0.005979, Accuracy: 100.00\n",
      "Train Epoch: 147 [38400/50000 (85%)]\tLoss: 0.015880, Accuracy: 99.61\n",
      "Train Epoch: 147 [40960/50000 (91%)]\tLoss: 0.004904, Accuracy: 100.00\n",
      "Train Epoch: 147 [43520/50000 (97%)]\tLoss: 0.003334, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2835, Accuracy: 4659/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.888328075408936 s]\n",
      "Train Epoch: 148 [0/50000 (0%)]\tLoss: 0.005364, Accuracy: 100.00\n",
      "Train Epoch: 148 [2560/50000 (6%)]\tLoss: 0.002406, Accuracy: 100.00\n",
      "Train Epoch: 148 [5120/50000 (11%)]\tLoss: 0.005085, Accuracy: 100.00\n",
      "Train Epoch: 148 [7680/50000 (17%)]\tLoss: 0.005949, Accuracy: 99.80\n",
      "Train Epoch: 148 [10240/50000 (23%)]\tLoss: 0.007417, Accuracy: 99.80\n",
      "Train Epoch: 148 [12800/50000 (28%)]\tLoss: 0.003044, Accuracy: 100.00\n",
      "Train Epoch: 148 [15360/50000 (34%)]\tLoss: 0.004502, Accuracy: 100.00\n",
      "Train Epoch: 148 [17920/50000 (40%)]\tLoss: 0.006493, Accuracy: 99.80\n",
      "Train Epoch: 148 [20480/50000 (45%)]\tLoss: 0.008338, Accuracy: 99.61\n",
      "Train Epoch: 148 [23040/50000 (51%)]\tLoss: 0.003096, Accuracy: 100.00\n",
      "Train Epoch: 148 [25600/50000 (57%)]\tLoss: 0.006660, Accuracy: 99.80\n",
      "Train Epoch: 148 [28160/50000 (62%)]\tLoss: 0.003467, Accuracy: 100.00\n",
      "Train Epoch: 148 [30720/50000 (68%)]\tLoss: 0.003397, Accuracy: 100.00\n",
      "Train Epoch: 148 [33280/50000 (74%)]\tLoss: 0.005187, Accuracy: 99.80\n",
      "Train Epoch: 148 [35840/50000 (80%)]\tLoss: 0.003313, Accuracy: 100.00\n",
      "Train Epoch: 148 [38400/50000 (85%)]\tLoss: 0.002247, Accuracy: 100.00\n",
      "Train Epoch: 148 [40960/50000 (91%)]\tLoss: 0.002394, Accuracy: 100.00\n",
      "Train Epoch: 148 [43520/50000 (97%)]\tLoss: 0.002638, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2963, Accuracy: 4638/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.949764251708984 s]\n",
      "Train Epoch: 149 [0/50000 (0%)]\tLoss: 0.002555, Accuracy: 100.00\n",
      "Train Epoch: 149 [2560/50000 (6%)]\tLoss: 0.001851, Accuracy: 100.00\n",
      "Train Epoch: 149 [5120/50000 (11%)]\tLoss: 0.002517, Accuracy: 100.00\n",
      "Train Epoch: 149 [7680/50000 (17%)]\tLoss: 0.003475, Accuracy: 100.00\n",
      "Train Epoch: 149 [10240/50000 (23%)]\tLoss: 0.007917, Accuracy: 99.80\n",
      "Train Epoch: 149 [12800/50000 (28%)]\tLoss: 0.003058, Accuracy: 100.00\n",
      "Train Epoch: 149 [15360/50000 (34%)]\tLoss: 0.004659, Accuracy: 100.00\n",
      "Train Epoch: 149 [17920/50000 (40%)]\tLoss: 0.004387, Accuracy: 99.80\n",
      "Train Epoch: 149 [20480/50000 (45%)]\tLoss: 0.004221, Accuracy: 100.00\n",
      "Train Epoch: 149 [23040/50000 (51%)]\tLoss: 0.004661, Accuracy: 100.00\n",
      "Train Epoch: 149 [25600/50000 (57%)]\tLoss: 0.003915, Accuracy: 100.00\n",
      "Train Epoch: 149 [28160/50000 (62%)]\tLoss: 0.004132, Accuracy: 100.00\n",
      "Train Epoch: 149 [30720/50000 (68%)]\tLoss: 0.009411, Accuracy: 99.80\n",
      "Train Epoch: 149 [33280/50000 (74%)]\tLoss: 0.002264, Accuracy: 100.00\n",
      "Train Epoch: 149 [35840/50000 (80%)]\tLoss: 0.005497, Accuracy: 99.80\n",
      "Train Epoch: 149 [38400/50000 (85%)]\tLoss: 0.003097, Accuracy: 100.00\n",
      "Train Epoch: 149 [40960/50000 (91%)]\tLoss: 0.012426, Accuracy: 99.80\n",
      "Train Epoch: 149 [43520/50000 (97%)]\tLoss: 0.003533, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2860, Accuracy: 4657/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.932523727416992 s]\n",
      "Train Epoch: 150 [0/50000 (0%)]\tLoss: 0.003140, Accuracy: 100.00\n",
      "Train Epoch: 150 [2560/50000 (6%)]\tLoss: 0.005797, Accuracy: 99.80\n",
      "Train Epoch: 150 [5120/50000 (11%)]\tLoss: 0.004031, Accuracy: 99.80\n",
      "Train Epoch: 150 [7680/50000 (17%)]\tLoss: 0.005070, Accuracy: 99.80\n",
      "Train Epoch: 150 [10240/50000 (23%)]\tLoss: 0.003323, Accuracy: 100.00\n",
      "Train Epoch: 150 [12800/50000 (28%)]\tLoss: 0.004406, Accuracy: 99.80\n",
      "Train Epoch: 150 [15360/50000 (34%)]\tLoss: 0.005504, Accuracy: 99.80\n",
      "Train Epoch: 150 [17920/50000 (40%)]\tLoss: 0.003750, Accuracy: 100.00\n",
      "Train Epoch: 150 [20480/50000 (45%)]\tLoss: 0.004805, Accuracy: 100.00\n",
      "Train Epoch: 150 [23040/50000 (51%)]\tLoss: 0.003350, Accuracy: 100.00\n",
      "Train Epoch: 150 [25600/50000 (57%)]\tLoss: 0.002646, Accuracy: 100.00\n",
      "Train Epoch: 150 [28160/50000 (62%)]\tLoss: 0.007866, Accuracy: 99.80\n",
      "Train Epoch: 150 [30720/50000 (68%)]\tLoss: 0.010446, Accuracy: 99.80\n",
      "Train Epoch: 150 [33280/50000 (74%)]\tLoss: 0.002395, Accuracy: 100.00\n",
      "Train Epoch: 150 [35840/50000 (80%)]\tLoss: 0.003496, Accuracy: 100.00\n",
      "Train Epoch: 150 [38400/50000 (85%)]\tLoss: 0.004786, Accuracy: 100.00\n",
      "Train Epoch: 150 [40960/50000 (91%)]\tLoss: 0.005820, Accuracy: 99.80\n",
      "Train Epoch: 150 [43520/50000 (97%)]\tLoss: 0.002214, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2864, Accuracy: 4659/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.937103033065796 s]\n",
      "\n",
      "Test set: Average loss: 0.3159, Accuracy: 9299/10000 (92.99%)\n",
      "\n",
      "Train Epoch: 151 [0/50000 (0%)]\tLoss: 0.003436, Accuracy: 100.00\n",
      "Train Epoch: 151 [2560/50000 (6%)]\tLoss: 0.003144, Accuracy: 100.00\n",
      "Train Epoch: 151 [5120/50000 (11%)]\tLoss: 0.003407, Accuracy: 100.00\n",
      "Train Epoch: 151 [7680/50000 (17%)]\tLoss: 0.007838, Accuracy: 100.00\n",
      "Train Epoch: 151 [10240/50000 (23%)]\tLoss: 0.002831, Accuracy: 100.00\n",
      "Train Epoch: 151 [12800/50000 (28%)]\tLoss: 0.005870, Accuracy: 100.00\n",
      "Train Epoch: 151 [15360/50000 (34%)]\tLoss: 0.002786, Accuracy: 100.00\n",
      "Train Epoch: 151 [17920/50000 (40%)]\tLoss: 0.002795, Accuracy: 100.00\n",
      "Train Epoch: 151 [20480/50000 (45%)]\tLoss: 0.003630, Accuracy: 100.00\n",
      "Train Epoch: 151 [23040/50000 (51%)]\tLoss: 0.003663, Accuracy: 100.00\n",
      "Train Epoch: 151 [25600/50000 (57%)]\tLoss: 0.005053, Accuracy: 99.80\n",
      "Train Epoch: 151 [28160/50000 (62%)]\tLoss: 0.007073, Accuracy: 99.61\n",
      "Train Epoch: 151 [30720/50000 (68%)]\tLoss: 0.008276, Accuracy: 99.80\n",
      "Train Epoch: 151 [33280/50000 (74%)]\tLoss: 0.003003, Accuracy: 100.00\n",
      "Train Epoch: 151 [35840/50000 (80%)]\tLoss: 0.004086, Accuracy: 100.00\n",
      "Train Epoch: 151 [38400/50000 (85%)]\tLoss: 0.011727, Accuracy: 99.61\n",
      "Train Epoch: 151 [40960/50000 (91%)]\tLoss: 0.007125, Accuracy: 99.80\n",
      "Train Epoch: 151 [43520/50000 (97%)]\tLoss: 0.005445, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2954, Accuracy: 4650/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.76269793510437 s]\n",
      "Train Epoch: 152 [0/50000 (0%)]\tLoss: 0.003665, Accuracy: 100.00\n",
      "Train Epoch: 152 [2560/50000 (6%)]\tLoss: 0.004792, Accuracy: 99.80\n",
      "Train Epoch: 152 [5120/50000 (11%)]\tLoss: 0.005598, Accuracy: 99.80\n",
      "Train Epoch: 152 [7680/50000 (17%)]\tLoss: 0.002993, Accuracy: 100.00\n",
      "Train Epoch: 152 [10240/50000 (23%)]\tLoss: 0.002548, Accuracy: 100.00\n",
      "Train Epoch: 152 [12800/50000 (28%)]\tLoss: 0.004246, Accuracy: 100.00\n",
      "Train Epoch: 152 [15360/50000 (34%)]\tLoss: 0.002234, Accuracy: 100.00\n",
      "Train Epoch: 152 [17920/50000 (40%)]\tLoss: 0.005267, Accuracy: 99.80\n",
      "Train Epoch: 152 [20480/50000 (45%)]\tLoss: 0.009244, Accuracy: 99.80\n",
      "Train Epoch: 152 [23040/50000 (51%)]\tLoss: 0.004345, Accuracy: 100.00\n",
      "Train Epoch: 152 [25600/50000 (57%)]\tLoss: 0.004936, Accuracy: 100.00\n",
      "Train Epoch: 152 [28160/50000 (62%)]\tLoss: 0.002737, Accuracy: 100.00\n",
      "Train Epoch: 152 [30720/50000 (68%)]\tLoss: 0.004395, Accuracy: 99.80\n",
      "Train Epoch: 152 [33280/50000 (74%)]\tLoss: 0.004907, Accuracy: 100.00\n",
      "Train Epoch: 152 [35840/50000 (80%)]\tLoss: 0.004822, Accuracy: 100.00\n",
      "Train Epoch: 152 [38400/50000 (85%)]\tLoss: 0.002724, Accuracy: 100.00\n",
      "Train Epoch: 152 [40960/50000 (91%)]\tLoss: 0.007327, Accuracy: 99.80\n",
      "Train Epoch: 152 [43520/50000 (97%)]\tLoss: 0.003709, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3084, Accuracy: 4638/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.9821617603302 s]\n",
      "Train Epoch: 153 [0/50000 (0%)]\tLoss: 0.004023, Accuracy: 100.00\n",
      "Train Epoch: 153 [2560/50000 (6%)]\tLoss: 0.004582, Accuracy: 100.00\n",
      "Train Epoch: 153 [5120/50000 (11%)]\tLoss: 0.006064, Accuracy: 99.80\n",
      "Train Epoch: 153 [7680/50000 (17%)]\tLoss: 0.007264, Accuracy: 99.80\n",
      "Train Epoch: 153 [10240/50000 (23%)]\tLoss: 0.002974, Accuracy: 100.00\n",
      "Train Epoch: 153 [12800/50000 (28%)]\tLoss: 0.002270, Accuracy: 100.00\n",
      "Train Epoch: 153 [15360/50000 (34%)]\tLoss: 0.008414, Accuracy: 99.61\n",
      "Train Epoch: 153 [17920/50000 (40%)]\tLoss: 0.006196, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 153 [20480/50000 (45%)]\tLoss: 0.002653, Accuracy: 100.00\n",
      "Train Epoch: 153 [23040/50000 (51%)]\tLoss: 0.003866, Accuracy: 100.00\n",
      "Train Epoch: 153 [25600/50000 (57%)]\tLoss: 0.005032, Accuracy: 100.00\n",
      "Train Epoch: 153 [28160/50000 (62%)]\tLoss: 0.004862, Accuracy: 100.00\n",
      "Train Epoch: 153 [30720/50000 (68%)]\tLoss: 0.002422, Accuracy: 100.00\n",
      "Train Epoch: 153 [33280/50000 (74%)]\tLoss: 0.003325, Accuracy: 100.00\n",
      "Train Epoch: 153 [35840/50000 (80%)]\tLoss: 0.004847, Accuracy: 100.00\n",
      "Train Epoch: 153 [38400/50000 (85%)]\tLoss: 0.003462, Accuracy: 100.00\n",
      "Train Epoch: 153 [40960/50000 (91%)]\tLoss: 0.001999, Accuracy: 100.00\n",
      "Train Epoch: 153 [43520/50000 (97%)]\tLoss: 0.002941, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2970, Accuracy: 4655/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.94620943069458 s]\n",
      "Train Epoch: 154 [0/50000 (0%)]\tLoss: 0.005946, Accuracy: 100.00\n",
      "Train Epoch: 154 [2560/50000 (6%)]\tLoss: 0.004666, Accuracy: 100.00\n",
      "Train Epoch: 154 [5120/50000 (11%)]\tLoss: 0.004760, Accuracy: 99.80\n",
      "Train Epoch: 154 [7680/50000 (17%)]\tLoss: 0.003069, Accuracy: 100.00\n",
      "Train Epoch: 154 [10240/50000 (23%)]\tLoss: 0.005898, Accuracy: 100.00\n",
      "Train Epoch: 154 [12800/50000 (28%)]\tLoss: 0.004422, Accuracy: 100.00\n",
      "Train Epoch: 154 [15360/50000 (34%)]\tLoss: 0.002998, Accuracy: 100.00\n",
      "Train Epoch: 154 [17920/50000 (40%)]\tLoss: 0.002453, Accuracy: 100.00\n",
      "Train Epoch: 154 [20480/50000 (45%)]\tLoss: 0.004096, Accuracy: 100.00\n",
      "Train Epoch: 154 [23040/50000 (51%)]\tLoss: 0.002598, Accuracy: 100.00\n",
      "Train Epoch: 154 [25600/50000 (57%)]\tLoss: 0.005015, Accuracy: 100.00\n",
      "Train Epoch: 154 [28160/50000 (62%)]\tLoss: 0.004555, Accuracy: 100.00\n",
      "Train Epoch: 154 [30720/50000 (68%)]\tLoss: 0.006283, Accuracy: 99.80\n",
      "Train Epoch: 154 [33280/50000 (74%)]\tLoss: 0.003955, Accuracy: 100.00\n",
      "Train Epoch: 154 [35840/50000 (80%)]\tLoss: 0.003072, Accuracy: 100.00\n",
      "Train Epoch: 154 [38400/50000 (85%)]\tLoss: 0.004502, Accuracy: 100.00\n",
      "Train Epoch: 154 [40960/50000 (91%)]\tLoss: 0.004438, Accuracy: 100.00\n",
      "Train Epoch: 154 [43520/50000 (97%)]\tLoss: 0.002724, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2989, Accuracy: 4658/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.928114652633667 s]\n",
      "Train Epoch: 155 [0/50000 (0%)]\tLoss: 0.004590, Accuracy: 100.00\n",
      "Train Epoch: 155 [2560/50000 (6%)]\tLoss: 0.002421, Accuracy: 100.00\n",
      "Train Epoch: 155 [5120/50000 (11%)]\tLoss: 0.005665, Accuracy: 100.00\n",
      "Train Epoch: 155 [7680/50000 (17%)]\tLoss: 0.003413, Accuracy: 100.00\n",
      "Train Epoch: 155 [10240/50000 (23%)]\tLoss: 0.004165, Accuracy: 100.00\n",
      "Train Epoch: 155 [12800/50000 (28%)]\tLoss: 0.002645, Accuracy: 100.00\n",
      "Train Epoch: 155 [15360/50000 (34%)]\tLoss: 0.003733, Accuracy: 100.00\n",
      "Train Epoch: 155 [17920/50000 (40%)]\tLoss: 0.003011, Accuracy: 100.00\n",
      "Train Epoch: 155 [20480/50000 (45%)]\tLoss: 0.002759, Accuracy: 100.00\n",
      "Train Epoch: 155 [23040/50000 (51%)]\tLoss: 0.004511, Accuracy: 100.00\n",
      "Train Epoch: 155 [25600/50000 (57%)]\tLoss: 0.009540, Accuracy: 99.80\n",
      "Train Epoch: 155 [28160/50000 (62%)]\tLoss: 0.005099, Accuracy: 99.80\n",
      "Train Epoch: 155 [30720/50000 (68%)]\tLoss: 0.002180, Accuracy: 100.00\n",
      "Train Epoch: 155 [33280/50000 (74%)]\tLoss: 0.004339, Accuracy: 99.80\n",
      "Train Epoch: 155 [35840/50000 (80%)]\tLoss: 0.002403, Accuracy: 100.00\n",
      "Train Epoch: 155 [38400/50000 (85%)]\tLoss: 0.003426, Accuracy: 100.00\n",
      "Train Epoch: 155 [40960/50000 (91%)]\tLoss: 0.002583, Accuracy: 100.00\n",
      "Train Epoch: 155 [43520/50000 (97%)]\tLoss: 0.005048, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3024, Accuracy: 4659/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.950535535812378 s]\n",
      "Train Epoch: 156 [0/50000 (0%)]\tLoss: 0.004772, Accuracy: 100.00\n",
      "Train Epoch: 156 [2560/50000 (6%)]\tLoss: 0.008150, Accuracy: 99.80\n",
      "Train Epoch: 156 [5120/50000 (11%)]\tLoss: 0.001915, Accuracy: 100.00\n",
      "Train Epoch: 156 [7680/50000 (17%)]\tLoss: 0.003206, Accuracy: 100.00\n",
      "Train Epoch: 156 [10240/50000 (23%)]\tLoss: 0.009033, Accuracy: 99.80\n",
      "Train Epoch: 156 [12800/50000 (28%)]\tLoss: 0.004964, Accuracy: 100.00\n",
      "Train Epoch: 156 [15360/50000 (34%)]\tLoss: 0.005584, Accuracy: 99.80\n",
      "Train Epoch: 156 [17920/50000 (40%)]\tLoss: 0.003582, Accuracy: 100.00\n",
      "Train Epoch: 156 [20480/50000 (45%)]\tLoss: 0.002220, Accuracy: 100.00\n",
      "Train Epoch: 156 [23040/50000 (51%)]\tLoss: 0.002831, Accuracy: 100.00\n",
      "Train Epoch: 156 [25600/50000 (57%)]\tLoss: 0.002087, Accuracy: 100.00\n",
      "Train Epoch: 156 [28160/50000 (62%)]\tLoss: 0.002958, Accuracy: 100.00\n",
      "Train Epoch: 156 [30720/50000 (68%)]\tLoss: 0.004242, Accuracy: 100.00\n",
      "Train Epoch: 156 [33280/50000 (74%)]\tLoss: 0.003050, Accuracy: 100.00\n",
      "Train Epoch: 156 [35840/50000 (80%)]\tLoss: 0.001938, Accuracy: 100.00\n",
      "Train Epoch: 156 [38400/50000 (85%)]\tLoss: 0.003321, Accuracy: 100.00\n",
      "Train Epoch: 156 [40960/50000 (91%)]\tLoss: 0.004829, Accuracy: 99.80\n",
      "Train Epoch: 156 [43520/50000 (97%)]\tLoss: 0.009688, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3033, Accuracy: 4655/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.957452535629272 s]\n",
      "Train Epoch: 157 [0/50000 (0%)]\tLoss: 0.002698, Accuracy: 100.00\n",
      "Train Epoch: 157 [2560/50000 (6%)]\tLoss: 0.005674, Accuracy: 100.00\n",
      "Train Epoch: 157 [5120/50000 (11%)]\tLoss: 0.003828, Accuracy: 100.00\n",
      "Train Epoch: 157 [7680/50000 (17%)]\tLoss: 0.004737, Accuracy: 99.80\n",
      "Train Epoch: 157 [10240/50000 (23%)]\tLoss: 0.002371, Accuracy: 100.00\n",
      "Train Epoch: 157 [12800/50000 (28%)]\tLoss: 0.002834, Accuracy: 100.00\n",
      "Train Epoch: 157 [15360/50000 (34%)]\tLoss: 0.003693, Accuracy: 100.00\n",
      "Train Epoch: 157 [17920/50000 (40%)]\tLoss: 0.001518, Accuracy: 100.00\n",
      "Train Epoch: 157 [20480/50000 (45%)]\tLoss: 0.003078, Accuracy: 100.00\n",
      "Train Epoch: 157 [23040/50000 (51%)]\tLoss: 0.004076, Accuracy: 100.00\n",
      "Train Epoch: 157 [25600/50000 (57%)]\tLoss: 0.003017, Accuracy: 100.00\n",
      "Train Epoch: 157 [28160/50000 (62%)]\tLoss: 0.003903, Accuracy: 99.80\n",
      "Train Epoch: 157 [30720/50000 (68%)]\tLoss: 0.005586, Accuracy: 100.00\n",
      "Train Epoch: 157 [33280/50000 (74%)]\tLoss: 0.003123, Accuracy: 100.00\n",
      "Train Epoch: 157 [35840/50000 (80%)]\tLoss: 0.002890, Accuracy: 100.00\n",
      "Train Epoch: 157 [38400/50000 (85%)]\tLoss: 0.005463, Accuracy: 100.00\n",
      "Train Epoch: 157 [40960/50000 (91%)]\tLoss: 0.004694, Accuracy: 100.00\n",
      "Train Epoch: 157 [43520/50000 (97%)]\tLoss: 0.003539, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2998, Accuracy: 4647/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.961003303527832 s]\n",
      "Train Epoch: 158 [0/50000 (0%)]\tLoss: 0.002981, Accuracy: 100.00\n",
      "Train Epoch: 158 [2560/50000 (6%)]\tLoss: 0.002334, Accuracy: 100.00\n",
      "Train Epoch: 158 [5120/50000 (11%)]\tLoss: 0.001608, Accuracy: 100.00\n",
      "Train Epoch: 158 [7680/50000 (17%)]\tLoss: 0.006845, Accuracy: 99.80\n",
      "Train Epoch: 158 [10240/50000 (23%)]\tLoss: 0.003248, Accuracy: 100.00\n",
      "Train Epoch: 158 [12800/50000 (28%)]\tLoss: 0.006216, Accuracy: 99.80\n",
      "Train Epoch: 158 [15360/50000 (34%)]\tLoss: 0.002080, Accuracy: 100.00\n",
      "Train Epoch: 158 [17920/50000 (40%)]\tLoss: 0.002810, Accuracy: 100.00\n",
      "Train Epoch: 158 [20480/50000 (45%)]\tLoss: 0.002523, Accuracy: 100.00\n",
      "Train Epoch: 158 [23040/50000 (51%)]\tLoss: 0.004415, Accuracy: 100.00\n",
      "Train Epoch: 158 [25600/50000 (57%)]\tLoss: 0.004885, Accuracy: 99.80\n",
      "Train Epoch: 158 [28160/50000 (62%)]\tLoss: 0.002706, Accuracy: 100.00\n",
      "Train Epoch: 158 [30720/50000 (68%)]\tLoss: 0.004189, Accuracy: 100.00\n",
      "Train Epoch: 158 [33280/50000 (74%)]\tLoss: 0.002954, Accuracy: 100.00\n",
      "Train Epoch: 158 [35840/50000 (80%)]\tLoss: 0.003187, Accuracy: 100.00\n",
      "Train Epoch: 158 [38400/50000 (85%)]\tLoss: 0.007132, Accuracy: 99.80\n",
      "Train Epoch: 158 [40960/50000 (91%)]\tLoss: 0.003143, Accuracy: 100.00\n",
      "Train Epoch: 158 [43520/50000 (97%)]\tLoss: 0.002528, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2975, Accuracy: 4649/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.962679862976074 s]\n",
      "Train Epoch: 159 [0/50000 (0%)]\tLoss: 0.010547, Accuracy: 99.80\n",
      "Train Epoch: 159 [2560/50000 (6%)]\tLoss: 0.003645, Accuracy: 100.00\n",
      "Train Epoch: 159 [5120/50000 (11%)]\tLoss: 0.004731, Accuracy: 99.80\n",
      "Train Epoch: 159 [7680/50000 (17%)]\tLoss: 0.002136, Accuracy: 100.00\n",
      "Train Epoch: 159 [10240/50000 (23%)]\tLoss: 0.006497, Accuracy: 99.80\n",
      "Train Epoch: 159 [12800/50000 (28%)]\tLoss: 0.002488, Accuracy: 100.00\n",
      "Train Epoch: 159 [15360/50000 (34%)]\tLoss: 0.002864, Accuracy: 100.00\n",
      "Train Epoch: 159 [17920/50000 (40%)]\tLoss: 0.002914, Accuracy: 100.00\n",
      "Train Epoch: 159 [20480/50000 (45%)]\tLoss: 0.006294, Accuracy: 99.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 159 [23040/50000 (51%)]\tLoss: 0.003009, Accuracy: 100.00\n",
      "Train Epoch: 159 [25600/50000 (57%)]\tLoss: 0.003183, Accuracy: 100.00\n",
      "Train Epoch: 159 [28160/50000 (62%)]\tLoss: 0.009098, Accuracy: 99.80\n",
      "Train Epoch: 159 [30720/50000 (68%)]\tLoss: 0.001799, Accuracy: 100.00\n",
      "Train Epoch: 159 [33280/50000 (74%)]\tLoss: 0.002331, Accuracy: 100.00\n",
      "Train Epoch: 159 [35840/50000 (80%)]\tLoss: 0.004083, Accuracy: 99.80\n",
      "Train Epoch: 159 [38400/50000 (85%)]\tLoss: 0.003516, Accuracy: 100.00\n",
      "Train Epoch: 159 [40960/50000 (91%)]\tLoss: 0.003416, Accuracy: 100.00\n",
      "Train Epoch: 159 [43520/50000 (97%)]\tLoss: 0.002291, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2935, Accuracy: 4662/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.979829788208008 s]\n",
      "Train Epoch: 160 [0/50000 (0%)]\tLoss: 0.002373, Accuracy: 100.00\n",
      "Train Epoch: 160 [2560/50000 (6%)]\tLoss: 0.004653, Accuracy: 100.00\n",
      "Train Epoch: 160 [5120/50000 (11%)]\tLoss: 0.005365, Accuracy: 99.80\n",
      "Train Epoch: 160 [7680/50000 (17%)]\tLoss: 0.003824, Accuracy: 99.80\n",
      "Train Epoch: 160 [10240/50000 (23%)]\tLoss: 0.001623, Accuracy: 100.00\n",
      "Train Epoch: 160 [12800/50000 (28%)]\tLoss: 0.003061, Accuracy: 100.00\n",
      "Train Epoch: 160 [15360/50000 (34%)]\tLoss: 0.002388, Accuracy: 100.00\n",
      "Train Epoch: 160 [17920/50000 (40%)]\tLoss: 0.004393, Accuracy: 99.80\n",
      "Train Epoch: 160 [20480/50000 (45%)]\tLoss: 0.003097, Accuracy: 99.80\n",
      "Train Epoch: 160 [23040/50000 (51%)]\tLoss: 0.001518, Accuracy: 100.00\n",
      "Train Epoch: 160 [25600/50000 (57%)]\tLoss: 0.005604, Accuracy: 99.80\n",
      "Train Epoch: 160 [28160/50000 (62%)]\tLoss: 0.003122, Accuracy: 100.00\n",
      "Train Epoch: 160 [30720/50000 (68%)]\tLoss: 0.003137, Accuracy: 100.00\n",
      "Train Epoch: 160 [33280/50000 (74%)]\tLoss: 0.009195, Accuracy: 99.80\n",
      "Train Epoch: 160 [35840/50000 (80%)]\tLoss: 0.008298, Accuracy: 99.61\n",
      "Train Epoch: 160 [38400/50000 (85%)]\tLoss: 0.003084, Accuracy: 100.00\n",
      "Train Epoch: 160 [40960/50000 (91%)]\tLoss: 0.002926, Accuracy: 100.00\n",
      "Train Epoch: 160 [43520/50000 (97%)]\tLoss: 0.001704, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2943, Accuracy: 4655/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.93170475959778 s]\n",
      "\n",
      "Test set: Average loss: 0.3318, Accuracy: 9275/10000 (92.75%)\n",
      "\n",
      "Train Epoch: 161 [0/50000 (0%)]\tLoss: 0.003243, Accuracy: 100.00\n",
      "Train Epoch: 161 [2560/50000 (6%)]\tLoss: 0.003742, Accuracy: 100.00\n",
      "Train Epoch: 161 [5120/50000 (11%)]\tLoss: 0.002027, Accuracy: 100.00\n",
      "Train Epoch: 161 [7680/50000 (17%)]\tLoss: 0.005176, Accuracy: 99.80\n",
      "Train Epoch: 161 [10240/50000 (23%)]\tLoss: 0.001998, Accuracy: 100.00\n",
      "Train Epoch: 161 [12800/50000 (28%)]\tLoss: 0.009213, Accuracy: 99.80\n",
      "Train Epoch: 161 [15360/50000 (34%)]\tLoss: 0.001613, Accuracy: 100.00\n",
      "Train Epoch: 161 [17920/50000 (40%)]\tLoss: 0.005283, Accuracy: 100.00\n",
      "Train Epoch: 161 [20480/50000 (45%)]\tLoss: 0.005029, Accuracy: 99.80\n",
      "Train Epoch: 161 [23040/50000 (51%)]\tLoss: 0.004542, Accuracy: 99.80\n",
      "Train Epoch: 161 [25600/50000 (57%)]\tLoss: 0.004859, Accuracy: 99.80\n",
      "Train Epoch: 161 [28160/50000 (62%)]\tLoss: 0.002757, Accuracy: 100.00\n",
      "Train Epoch: 161 [30720/50000 (68%)]\tLoss: 0.002365, Accuracy: 100.00\n",
      "Train Epoch: 161 [33280/50000 (74%)]\tLoss: 0.012789, Accuracy: 99.61\n",
      "Train Epoch: 161 [35840/50000 (80%)]\tLoss: 0.003908, Accuracy: 100.00\n",
      "Train Epoch: 161 [38400/50000 (85%)]\tLoss: 0.003546, Accuracy: 100.00\n",
      "Train Epoch: 161 [40960/50000 (91%)]\tLoss: 0.002659, Accuracy: 100.00\n",
      "Train Epoch: 161 [43520/50000 (97%)]\tLoss: 0.003634, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3046, Accuracy: 4650/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.762988805770874 s]\n",
      "Train Epoch: 162 [0/50000 (0%)]\tLoss: 0.003347, Accuracy: 100.00\n",
      "Train Epoch: 162 [2560/50000 (6%)]\tLoss: 0.003057, Accuracy: 100.00\n",
      "Train Epoch: 162 [5120/50000 (11%)]\tLoss: 0.002105, Accuracy: 100.00\n",
      "Train Epoch: 162 [7680/50000 (17%)]\tLoss: 0.003159, Accuracy: 100.00\n",
      "Train Epoch: 162 [10240/50000 (23%)]\tLoss: 0.001970, Accuracy: 100.00\n",
      "Train Epoch: 162 [12800/50000 (28%)]\tLoss: 0.002265, Accuracy: 100.00\n",
      "Train Epoch: 162 [15360/50000 (34%)]\tLoss: 0.006945, Accuracy: 99.61\n",
      "Train Epoch: 162 [17920/50000 (40%)]\tLoss: 0.003281, Accuracy: 100.00\n",
      "Train Epoch: 162 [20480/50000 (45%)]\tLoss: 0.004324, Accuracy: 99.80\n",
      "Train Epoch: 162 [23040/50000 (51%)]\tLoss: 0.004627, Accuracy: 99.80\n",
      "Train Epoch: 162 [25600/50000 (57%)]\tLoss: 0.010687, Accuracy: 99.80\n",
      "Train Epoch: 162 [28160/50000 (62%)]\tLoss: 0.007345, Accuracy: 99.80\n",
      "Train Epoch: 162 [30720/50000 (68%)]\tLoss: 0.002490, Accuracy: 100.00\n",
      "Train Epoch: 162 [33280/50000 (74%)]\tLoss: 0.002331, Accuracy: 100.00\n",
      "Train Epoch: 162 [35840/50000 (80%)]\tLoss: 0.003385, Accuracy: 100.00\n",
      "Train Epoch: 162 [38400/50000 (85%)]\tLoss: 0.007295, Accuracy: 99.80\n",
      "Train Epoch: 162 [40960/50000 (91%)]\tLoss: 0.002894, Accuracy: 100.00\n",
      "Train Epoch: 162 [43520/50000 (97%)]\tLoss: 0.002235, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2956, Accuracy: 4651/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.969242572784424 s]\n",
      "Train Epoch: 163 [0/50000 (0%)]\tLoss: 0.004153, Accuracy: 99.80\n",
      "Train Epoch: 163 [2560/50000 (6%)]\tLoss: 0.003890, Accuracy: 99.80\n",
      "Train Epoch: 163 [5120/50000 (11%)]\tLoss: 0.002306, Accuracy: 100.00\n",
      "Train Epoch: 163 [7680/50000 (17%)]\tLoss: 0.003017, Accuracy: 100.00\n",
      "Train Epoch: 163 [10240/50000 (23%)]\tLoss: 0.003679, Accuracy: 100.00\n",
      "Train Epoch: 163 [12800/50000 (28%)]\tLoss: 0.005014, Accuracy: 99.80\n",
      "Train Epoch: 163 [15360/50000 (34%)]\tLoss: 0.003514, Accuracy: 100.00\n",
      "Train Epoch: 163 [17920/50000 (40%)]\tLoss: 0.004562, Accuracy: 100.00\n",
      "Train Epoch: 163 [20480/50000 (45%)]\tLoss: 0.004594, Accuracy: 99.80\n",
      "Train Epoch: 163 [23040/50000 (51%)]\tLoss: 0.002947, Accuracy: 100.00\n",
      "Train Epoch: 163 [25600/50000 (57%)]\tLoss: 0.008689, Accuracy: 99.61\n",
      "Train Epoch: 163 [28160/50000 (62%)]\tLoss: 0.005413, Accuracy: 99.80\n",
      "Train Epoch: 163 [30720/50000 (68%)]\tLoss: 0.002784, Accuracy: 100.00\n",
      "Train Epoch: 163 [33280/50000 (74%)]\tLoss: 0.004378, Accuracy: 100.00\n",
      "Train Epoch: 163 [35840/50000 (80%)]\tLoss: 0.003860, Accuracy: 99.80\n",
      "Train Epoch: 163 [38400/50000 (85%)]\tLoss: 0.005894, Accuracy: 99.80\n",
      "Train Epoch: 163 [40960/50000 (91%)]\tLoss: 0.003515, Accuracy: 100.00\n",
      "Train Epoch: 163 [43520/50000 (97%)]\tLoss: 0.005219, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2938, Accuracy: 4661/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.853775024414062 s]\n",
      "Train Epoch: 164 [0/50000 (0%)]\tLoss: 0.002367, Accuracy: 100.00\n",
      "Train Epoch: 164 [2560/50000 (6%)]\tLoss: 0.006279, Accuracy: 99.61\n",
      "Train Epoch: 164 [5120/50000 (11%)]\tLoss: 0.001856, Accuracy: 100.00\n",
      "Train Epoch: 164 [7680/50000 (17%)]\tLoss: 0.002588, Accuracy: 100.00\n",
      "Train Epoch: 164 [10240/50000 (23%)]\tLoss: 0.002925, Accuracy: 100.00\n",
      "Train Epoch: 164 [12800/50000 (28%)]\tLoss: 0.002643, Accuracy: 100.00\n",
      "Train Epoch: 164 [15360/50000 (34%)]\tLoss: 0.003949, Accuracy: 100.00\n",
      "Train Epoch: 164 [17920/50000 (40%)]\tLoss: 0.007598, Accuracy: 99.61\n",
      "Train Epoch: 164 [20480/50000 (45%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 164 [23040/50000 (51%)]\tLoss: 0.003269, Accuracy: 100.00\n",
      "Train Epoch: 164 [25600/50000 (57%)]\tLoss: 0.002742, Accuracy: 100.00\n",
      "Train Epoch: 164 [28160/50000 (62%)]\tLoss: 0.003136, Accuracy: 100.00\n",
      "Train Epoch: 164 [30720/50000 (68%)]\tLoss: 0.013145, Accuracy: 99.61\n",
      "Train Epoch: 164 [33280/50000 (74%)]\tLoss: 0.005237, Accuracy: 99.80\n",
      "Train Epoch: 164 [35840/50000 (80%)]\tLoss: 0.003117, Accuracy: 100.00\n",
      "Train Epoch: 164 [38400/50000 (85%)]\tLoss: 0.001980, Accuracy: 100.00\n",
      "Train Epoch: 164 [40960/50000 (91%)]\tLoss: 0.005617, Accuracy: 100.00\n",
      "Train Epoch: 164 [43520/50000 (97%)]\tLoss: 0.009067, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2879, Accuracy: 4672/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.786331176757812 s]\n",
      "Train Epoch: 165 [0/50000 (0%)]\tLoss: 0.003294, Accuracy: 100.00\n",
      "Train Epoch: 165 [2560/50000 (6%)]\tLoss: 0.002143, Accuracy: 100.00\n",
      "Train Epoch: 165 [5120/50000 (11%)]\tLoss: 0.006988, Accuracy: 100.00\n",
      "Train Epoch: 165 [7680/50000 (17%)]\tLoss: 0.002707, Accuracy: 100.00\n",
      "Train Epoch: 165 [10240/50000 (23%)]\tLoss: 0.008904, Accuracy: 99.61\n",
      "Train Epoch: 165 [12800/50000 (28%)]\tLoss: 0.003174, Accuracy: 100.00\n",
      "Train Epoch: 165 [15360/50000 (34%)]\tLoss: 0.009536, Accuracy: 99.61\n",
      "Train Epoch: 165 [17920/50000 (40%)]\tLoss: 0.002349, Accuracy: 100.00\n",
      "Train Epoch: 165 [20480/50000 (45%)]\tLoss: 0.005166, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 165 [23040/50000 (51%)]\tLoss: 0.008208, Accuracy: 99.80\n",
      "Train Epoch: 165 [25600/50000 (57%)]\tLoss: 0.001885, Accuracy: 100.00\n",
      "Train Epoch: 165 [28160/50000 (62%)]\tLoss: 0.003872, Accuracy: 100.00\n",
      "Train Epoch: 165 [30720/50000 (68%)]\tLoss: 0.002325, Accuracy: 100.00\n",
      "Train Epoch: 165 [33280/50000 (74%)]\tLoss: 0.005509, Accuracy: 99.80\n",
      "Train Epoch: 165 [35840/50000 (80%)]\tLoss: 0.003730, Accuracy: 100.00\n",
      "Train Epoch: 165 [38400/50000 (85%)]\tLoss: 0.004084, Accuracy: 99.80\n",
      "Train Epoch: 165 [40960/50000 (91%)]\tLoss: 0.005308, Accuracy: 100.00\n",
      "Train Epoch: 165 [43520/50000 (97%)]\tLoss: 0.003029, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2955, Accuracy: 4665/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.95113706588745 s]\n",
      "Train Epoch: 166 [0/50000 (0%)]\tLoss: 0.002536, Accuracy: 100.00\n",
      "Train Epoch: 166 [2560/50000 (6%)]\tLoss: 0.005152, Accuracy: 99.80\n",
      "Train Epoch: 166 [5120/50000 (11%)]\tLoss: 0.002227, Accuracy: 100.00\n",
      "Train Epoch: 166 [7680/50000 (17%)]\tLoss: 0.006313, Accuracy: 100.00\n",
      "Train Epoch: 166 [10240/50000 (23%)]\tLoss: 0.003204, Accuracy: 100.00\n",
      "Train Epoch: 166 [12800/50000 (28%)]\tLoss: 0.004699, Accuracy: 100.00\n",
      "Train Epoch: 166 [15360/50000 (34%)]\tLoss: 0.005119, Accuracy: 99.80\n",
      "Train Epoch: 166 [17920/50000 (40%)]\tLoss: 0.001808, Accuracy: 100.00\n",
      "Train Epoch: 166 [20480/50000 (45%)]\tLoss: 0.001999, Accuracy: 100.00\n",
      "Train Epoch: 166 [23040/50000 (51%)]\tLoss: 0.006944, Accuracy: 99.80\n",
      "Train Epoch: 166 [25600/50000 (57%)]\tLoss: 0.002101, Accuracy: 100.00\n",
      "Train Epoch: 166 [28160/50000 (62%)]\tLoss: 0.005943, Accuracy: 100.00\n",
      "Train Epoch: 166 [30720/50000 (68%)]\tLoss: 0.002015, Accuracy: 100.00\n",
      "Train Epoch: 166 [33280/50000 (74%)]\tLoss: 0.002717, Accuracy: 100.00\n",
      "Train Epoch: 166 [35840/50000 (80%)]\tLoss: 0.004134, Accuracy: 100.00\n",
      "Train Epoch: 166 [38400/50000 (85%)]\tLoss: 0.004578, Accuracy: 100.00\n",
      "Train Epoch: 166 [40960/50000 (91%)]\tLoss: 0.003252, Accuracy: 100.00\n",
      "Train Epoch: 166 [43520/50000 (97%)]\tLoss: 0.004747, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2870, Accuracy: 4669/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.9841251373291 s]\n",
      "Train Epoch: 167 [0/50000 (0%)]\tLoss: 0.002355, Accuracy: 100.00\n",
      "Train Epoch: 167 [2560/50000 (6%)]\tLoss: 0.003496, Accuracy: 100.00\n",
      "Train Epoch: 167 [5120/50000 (11%)]\tLoss: 0.006755, Accuracy: 99.80\n",
      "Train Epoch: 167 [7680/50000 (17%)]\tLoss: 0.005541, Accuracy: 100.00\n",
      "Train Epoch: 167 [10240/50000 (23%)]\tLoss: 0.005348, Accuracy: 99.80\n",
      "Train Epoch: 167 [12800/50000 (28%)]\tLoss: 0.004469, Accuracy: 100.00\n",
      "Train Epoch: 167 [15360/50000 (34%)]\tLoss: 0.003926, Accuracy: 100.00\n",
      "Train Epoch: 167 [17920/50000 (40%)]\tLoss: 0.004687, Accuracy: 100.00\n",
      "Train Epoch: 167 [20480/50000 (45%)]\tLoss: 0.003793, Accuracy: 100.00\n",
      "Train Epoch: 167 [23040/50000 (51%)]\tLoss: 0.003220, Accuracy: 100.00\n",
      "Train Epoch: 167 [25600/50000 (57%)]\tLoss: 0.003962, Accuracy: 100.00\n",
      "Train Epoch: 167 [28160/50000 (62%)]\tLoss: 0.009720, Accuracy: 99.80\n",
      "Train Epoch: 167 [30720/50000 (68%)]\tLoss: 0.003364, Accuracy: 100.00\n",
      "Train Epoch: 167 [33280/50000 (74%)]\tLoss: 0.004637, Accuracy: 100.00\n",
      "Train Epoch: 167 [35840/50000 (80%)]\tLoss: 0.005067, Accuracy: 100.00\n",
      "Train Epoch: 167 [38400/50000 (85%)]\tLoss: 0.002286, Accuracy: 100.00\n",
      "Train Epoch: 167 [40960/50000 (91%)]\tLoss: 0.001600, Accuracy: 100.00\n",
      "Train Epoch: 167 [43520/50000 (97%)]\tLoss: 0.003069, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2923, Accuracy: 4660/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.937448263168335 s]\n",
      "Train Epoch: 168 [0/50000 (0%)]\tLoss: 0.003677, Accuracy: 99.80\n",
      "Train Epoch: 168 [2560/50000 (6%)]\tLoss: 0.004316, Accuracy: 100.00\n",
      "Train Epoch: 168 [5120/50000 (11%)]\tLoss: 0.003665, Accuracy: 100.00\n",
      "Train Epoch: 168 [7680/50000 (17%)]\tLoss: 0.003341, Accuracy: 100.00\n",
      "Train Epoch: 168 [10240/50000 (23%)]\tLoss: 0.004190, Accuracy: 99.80\n",
      "Train Epoch: 168 [12800/50000 (28%)]\tLoss: 0.003059, Accuracy: 100.00\n",
      "Train Epoch: 168 [15360/50000 (34%)]\tLoss: 0.004404, Accuracy: 100.00\n",
      "Train Epoch: 168 [17920/50000 (40%)]\tLoss: 0.001754, Accuracy: 100.00\n",
      "Train Epoch: 168 [20480/50000 (45%)]\tLoss: 0.002743, Accuracy: 100.00\n",
      "Train Epoch: 168 [23040/50000 (51%)]\tLoss: 0.003956, Accuracy: 100.00\n",
      "Train Epoch: 168 [25600/50000 (57%)]\tLoss: 0.001856, Accuracy: 100.00\n",
      "Train Epoch: 168 [28160/50000 (62%)]\tLoss: 0.002422, Accuracy: 100.00\n",
      "Train Epoch: 168 [30720/50000 (68%)]\tLoss: 0.003632, Accuracy: 100.00\n",
      "Train Epoch: 168 [33280/50000 (74%)]\tLoss: 0.002951, Accuracy: 100.00\n",
      "Train Epoch: 168 [35840/50000 (80%)]\tLoss: 0.006718, Accuracy: 100.00\n",
      "Train Epoch: 168 [38400/50000 (85%)]\tLoss: 0.002356, Accuracy: 100.00\n",
      "Train Epoch: 168 [40960/50000 (91%)]\tLoss: 0.003083, Accuracy: 100.00\n",
      "Train Epoch: 168 [43520/50000 (97%)]\tLoss: 0.003158, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2954, Accuracy: 4664/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.934841632843018 s]\n",
      "Train Epoch: 169 [0/50000 (0%)]\tLoss: 0.003140, Accuracy: 100.00\n",
      "Train Epoch: 169 [2560/50000 (6%)]\tLoss: 0.004907, Accuracy: 100.00\n",
      "Train Epoch: 169 [5120/50000 (11%)]\tLoss: 0.005565, Accuracy: 100.00\n",
      "Train Epoch: 169 [7680/50000 (17%)]\tLoss: 0.003786, Accuracy: 100.00\n",
      "Train Epoch: 169 [10240/50000 (23%)]\tLoss: 0.009304, Accuracy: 99.80\n",
      "Train Epoch: 169 [12800/50000 (28%)]\tLoss: 0.002506, Accuracy: 100.00\n",
      "Train Epoch: 169 [15360/50000 (34%)]\tLoss: 0.002907, Accuracy: 100.00\n",
      "Train Epoch: 169 [17920/50000 (40%)]\tLoss: 0.003034, Accuracy: 100.00\n",
      "Train Epoch: 169 [20480/50000 (45%)]\tLoss: 0.005655, Accuracy: 99.80\n",
      "Train Epoch: 169 [23040/50000 (51%)]\tLoss: 0.004435, Accuracy: 100.00\n",
      "Train Epoch: 169 [25600/50000 (57%)]\tLoss: 0.004018, Accuracy: 100.00\n",
      "Train Epoch: 169 [28160/50000 (62%)]\tLoss: 0.002839, Accuracy: 100.00\n",
      "Train Epoch: 169 [30720/50000 (68%)]\tLoss: 0.008490, Accuracy: 99.80\n",
      "Train Epoch: 169 [33280/50000 (74%)]\tLoss: 0.002438, Accuracy: 100.00\n",
      "Train Epoch: 169 [35840/50000 (80%)]\tLoss: 0.002043, Accuracy: 100.00\n",
      "Train Epoch: 169 [38400/50000 (85%)]\tLoss: 0.001984, Accuracy: 100.00\n",
      "Train Epoch: 169 [40960/50000 (91%)]\tLoss: 0.008739, Accuracy: 99.80\n",
      "Train Epoch: 169 [43520/50000 (97%)]\tLoss: 0.003233, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2945, Accuracy: 4664/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00065493583679 s]\n",
      "Train Epoch: 170 [0/50000 (0%)]\tLoss: 0.003899, Accuracy: 100.00\n",
      "Train Epoch: 170 [2560/50000 (6%)]\tLoss: 0.002382, Accuracy: 100.00\n",
      "Train Epoch: 170 [5120/50000 (11%)]\tLoss: 0.002118, Accuracy: 100.00\n",
      "Train Epoch: 170 [7680/50000 (17%)]\tLoss: 0.006687, Accuracy: 99.80\n",
      "Train Epoch: 170 [10240/50000 (23%)]\tLoss: 0.003058, Accuracy: 100.00\n",
      "Train Epoch: 170 [12800/50000 (28%)]\tLoss: 0.002371, Accuracy: 100.00\n",
      "Train Epoch: 170 [15360/50000 (34%)]\tLoss: 0.003713, Accuracy: 100.00\n",
      "Train Epoch: 170 [17920/50000 (40%)]\tLoss: 0.002062, Accuracy: 100.00\n",
      "Train Epoch: 170 [20480/50000 (45%)]\tLoss: 0.003738, Accuracy: 100.00\n",
      "Train Epoch: 170 [23040/50000 (51%)]\tLoss: 0.004134, Accuracy: 100.00\n",
      "Train Epoch: 170 [25600/50000 (57%)]\tLoss: 0.005833, Accuracy: 99.80\n",
      "Train Epoch: 170 [28160/50000 (62%)]\tLoss: 0.008512, Accuracy: 99.80\n",
      "Train Epoch: 170 [30720/50000 (68%)]\tLoss: 0.004561, Accuracy: 99.80\n",
      "Train Epoch: 170 [33280/50000 (74%)]\tLoss: 0.003571, Accuracy: 100.00\n",
      "Train Epoch: 170 [35840/50000 (80%)]\tLoss: 0.002475, Accuracy: 100.00\n",
      "Train Epoch: 170 [38400/50000 (85%)]\tLoss: 0.003065, Accuracy: 100.00\n",
      "Train Epoch: 170 [40960/50000 (91%)]\tLoss: 0.006436, Accuracy: 99.61\n",
      "Train Epoch: 170 [43520/50000 (97%)]\tLoss: 0.003189, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2970, Accuracy: 4666/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.945117473602295 s]\n",
      "\n",
      "Test set: Average loss: 0.3373, Accuracy: 9279/10000 (92.79%)\n",
      "\n",
      "Train Epoch: 171 [0/50000 (0%)]\tLoss: 0.002039, Accuracy: 100.00\n",
      "Train Epoch: 171 [2560/50000 (6%)]\tLoss: 0.002806, Accuracy: 100.00\n",
      "Train Epoch: 171 [5120/50000 (11%)]\tLoss: 0.001966, Accuracy: 100.00\n",
      "Train Epoch: 171 [7680/50000 (17%)]\tLoss: 0.005082, Accuracy: 99.80\n",
      "Train Epoch: 171 [10240/50000 (23%)]\tLoss: 0.005162, Accuracy: 99.80\n",
      "Train Epoch: 171 [12800/50000 (28%)]\tLoss: 0.002999, Accuracy: 100.00\n",
      "Train Epoch: 171 [15360/50000 (34%)]\tLoss: 0.004842, Accuracy: 99.80\n",
      "Train Epoch: 171 [17920/50000 (40%)]\tLoss: 0.002357, Accuracy: 100.00\n",
      "Train Epoch: 171 [20480/50000 (45%)]\tLoss: 0.004313, Accuracy: 99.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 171 [23040/50000 (51%)]\tLoss: 0.010272, Accuracy: 99.61\n",
      "Train Epoch: 171 [25600/50000 (57%)]\tLoss: 0.002961, Accuracy: 100.00\n",
      "Train Epoch: 171 [28160/50000 (62%)]\tLoss: 0.007190, Accuracy: 99.80\n",
      "Train Epoch: 171 [30720/50000 (68%)]\tLoss: 0.003348, Accuracy: 99.80\n",
      "Train Epoch: 171 [33280/50000 (74%)]\tLoss: 0.005013, Accuracy: 100.00\n",
      "Train Epoch: 171 [35840/50000 (80%)]\tLoss: 0.003040, Accuracy: 100.00\n",
      "Train Epoch: 171 [38400/50000 (85%)]\tLoss: 0.003035, Accuracy: 100.00\n",
      "Train Epoch: 171 [40960/50000 (91%)]\tLoss: 0.002467, Accuracy: 100.00\n",
      "Train Epoch: 171 [43520/50000 (97%)]\tLoss: 0.004789, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2943, Accuracy: 4669/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.78322744369507 s]\n",
      "Train Epoch: 172 [0/50000 (0%)]\tLoss: 0.004711, Accuracy: 99.80\n",
      "Train Epoch: 172 [2560/50000 (6%)]\tLoss: 0.003095, Accuracy: 100.00\n",
      "Train Epoch: 172 [5120/50000 (11%)]\tLoss: 0.005414, Accuracy: 99.80\n",
      "Train Epoch: 172 [7680/50000 (17%)]\tLoss: 0.010276, Accuracy: 99.80\n",
      "Train Epoch: 172 [10240/50000 (23%)]\tLoss: 0.007322, Accuracy: 99.80\n",
      "Train Epoch: 172 [12800/50000 (28%)]\tLoss: 0.003826, Accuracy: 100.00\n",
      "Train Epoch: 172 [15360/50000 (34%)]\tLoss: 0.001955, Accuracy: 100.00\n",
      "Train Epoch: 172 [17920/50000 (40%)]\tLoss: 0.008615, Accuracy: 99.80\n",
      "Train Epoch: 172 [20480/50000 (45%)]\tLoss: 0.004867, Accuracy: 100.00\n",
      "Train Epoch: 172 [23040/50000 (51%)]\tLoss: 0.002240, Accuracy: 100.00\n",
      "Train Epoch: 172 [25600/50000 (57%)]\tLoss: 0.002375, Accuracy: 100.00\n",
      "Train Epoch: 172 [28160/50000 (62%)]\tLoss: 0.002263, Accuracy: 100.00\n",
      "Train Epoch: 172 [30720/50000 (68%)]\tLoss: 0.002080, Accuracy: 100.00\n",
      "Train Epoch: 172 [33280/50000 (74%)]\tLoss: 0.003203, Accuracy: 100.00\n",
      "Train Epoch: 172 [35840/50000 (80%)]\tLoss: 0.007024, Accuracy: 99.80\n",
      "Train Epoch: 172 [38400/50000 (85%)]\tLoss: 0.004098, Accuracy: 99.80\n",
      "Train Epoch: 172 [40960/50000 (91%)]\tLoss: 0.004067, Accuracy: 99.80\n",
      "Train Epoch: 172 [43520/50000 (97%)]\tLoss: 0.004609, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3021, Accuracy: 4658/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.94646978378296 s]\n",
      "Train Epoch: 173 [0/50000 (0%)]\tLoss: 0.008576, Accuracy: 99.80\n",
      "Train Epoch: 173 [2560/50000 (6%)]\tLoss: 0.003087, Accuracy: 100.00\n",
      "Train Epoch: 173 [5120/50000 (11%)]\tLoss: 0.002950, Accuracy: 100.00\n",
      "Train Epoch: 173 [7680/50000 (17%)]\tLoss: 0.004036, Accuracy: 100.00\n",
      "Train Epoch: 173 [10240/50000 (23%)]\tLoss: 0.001624, Accuracy: 100.00\n",
      "Train Epoch: 173 [12800/50000 (28%)]\tLoss: 0.003296, Accuracy: 100.00\n",
      "Train Epoch: 173 [15360/50000 (34%)]\tLoss: 0.003240, Accuracy: 100.00\n",
      "Train Epoch: 173 [17920/50000 (40%)]\tLoss: 0.010622, Accuracy: 99.61\n",
      "Train Epoch: 173 [20480/50000 (45%)]\tLoss: 0.002198, Accuracy: 100.00\n",
      "Train Epoch: 173 [23040/50000 (51%)]\tLoss: 0.002083, Accuracy: 100.00\n",
      "Train Epoch: 173 [25600/50000 (57%)]\tLoss: 0.002938, Accuracy: 100.00\n",
      "Train Epoch: 173 [28160/50000 (62%)]\tLoss: 0.002639, Accuracy: 100.00\n",
      "Train Epoch: 173 [30720/50000 (68%)]\tLoss: 0.004968, Accuracy: 100.00\n",
      "Train Epoch: 173 [33280/50000 (74%)]\tLoss: 0.002471, Accuracy: 100.00\n",
      "Train Epoch: 173 [35840/50000 (80%)]\tLoss: 0.003198, Accuracy: 100.00\n",
      "Train Epoch: 173 [38400/50000 (85%)]\tLoss: 0.002449, Accuracy: 100.00\n",
      "Train Epoch: 173 [40960/50000 (91%)]\tLoss: 0.009258, Accuracy: 99.80\n",
      "Train Epoch: 173 [43520/50000 (97%)]\tLoss: 0.003365, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2943, Accuracy: 4670/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01889395713806 s]\n",
      "Train Epoch: 174 [0/50000 (0%)]\tLoss: 0.004179, Accuracy: 100.00\n",
      "Train Epoch: 174 [2560/50000 (6%)]\tLoss: 0.004298, Accuracy: 100.00\n",
      "Train Epoch: 174 [5120/50000 (11%)]\tLoss: 0.002956, Accuracy: 100.00\n",
      "Train Epoch: 174 [7680/50000 (17%)]\tLoss: 0.002474, Accuracy: 100.00\n",
      "Train Epoch: 174 [10240/50000 (23%)]\tLoss: 0.005691, Accuracy: 100.00\n",
      "Train Epoch: 174 [12800/50000 (28%)]\tLoss: 0.007266, Accuracy: 99.80\n",
      "Train Epoch: 174 [15360/50000 (34%)]\tLoss: 0.003547, Accuracy: 100.00\n",
      "Train Epoch: 174 [17920/50000 (40%)]\tLoss: 0.002588, Accuracy: 100.00\n",
      "Train Epoch: 174 [20480/50000 (45%)]\tLoss: 0.003968, Accuracy: 100.00\n",
      "Train Epoch: 174 [23040/50000 (51%)]\tLoss: 0.007379, Accuracy: 99.80\n",
      "Train Epoch: 174 [25600/50000 (57%)]\tLoss: 0.002234, Accuracy: 100.00\n",
      "Train Epoch: 174 [28160/50000 (62%)]\tLoss: 0.001588, Accuracy: 100.00\n",
      "Train Epoch: 174 [30720/50000 (68%)]\tLoss: 0.002666, Accuracy: 100.00\n",
      "Train Epoch: 174 [33280/50000 (74%)]\tLoss: 0.003486, Accuracy: 100.00\n",
      "Train Epoch: 174 [35840/50000 (80%)]\tLoss: 0.002417, Accuracy: 100.00\n",
      "Train Epoch: 174 [38400/50000 (85%)]\tLoss: 0.004371, Accuracy: 99.80\n",
      "Train Epoch: 174 [40960/50000 (91%)]\tLoss: 0.004121, Accuracy: 99.80\n",
      "Train Epoch: 174 [43520/50000 (97%)]\tLoss: 0.002780, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2882, Accuracy: 4665/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.989466428756714 s]\n",
      "Train Epoch: 175 [0/50000 (0%)]\tLoss: 0.001777, Accuracy: 100.00\n",
      "Train Epoch: 175 [2560/50000 (6%)]\tLoss: 0.002030, Accuracy: 100.00\n",
      "Train Epoch: 175 [5120/50000 (11%)]\tLoss: 0.009225, Accuracy: 99.80\n",
      "Train Epoch: 175 [7680/50000 (17%)]\tLoss: 0.004461, Accuracy: 99.80\n",
      "Train Epoch: 175 [10240/50000 (23%)]\tLoss: 0.004322, Accuracy: 99.80\n",
      "Train Epoch: 175 [12800/50000 (28%)]\tLoss: 0.004270, Accuracy: 99.80\n",
      "Train Epoch: 175 [15360/50000 (34%)]\tLoss: 0.009803, Accuracy: 99.80\n",
      "Train Epoch: 175 [17920/50000 (40%)]\tLoss: 0.002874, Accuracy: 100.00\n",
      "Train Epoch: 175 [20480/50000 (45%)]\tLoss: 0.006005, Accuracy: 99.80\n",
      "Train Epoch: 175 [23040/50000 (51%)]\tLoss: 0.012423, Accuracy: 99.61\n",
      "Train Epoch: 175 [25600/50000 (57%)]\tLoss: 0.004185, Accuracy: 99.80\n",
      "Train Epoch: 175 [28160/50000 (62%)]\tLoss: 0.007772, Accuracy: 99.80\n",
      "Train Epoch: 175 [30720/50000 (68%)]\tLoss: 0.004334, Accuracy: 100.00\n",
      "Train Epoch: 175 [33280/50000 (74%)]\tLoss: 0.004747, Accuracy: 99.80\n",
      "Train Epoch: 175 [35840/50000 (80%)]\tLoss: 0.003591, Accuracy: 100.00\n",
      "Train Epoch: 175 [38400/50000 (85%)]\tLoss: 0.002372, Accuracy: 100.00\n",
      "Train Epoch: 175 [40960/50000 (91%)]\tLoss: 0.003038, Accuracy: 100.00\n",
      "Train Epoch: 175 [43520/50000 (97%)]\tLoss: 0.002389, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3065, Accuracy: 4663/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.91432476043701 s]\n",
      "Train Epoch: 176 [0/50000 (0%)]\tLoss: 0.004185, Accuracy: 99.80\n",
      "Train Epoch: 176 [2560/50000 (6%)]\tLoss: 0.002638, Accuracy: 100.00\n",
      "Train Epoch: 176 [5120/50000 (11%)]\tLoss: 0.002099, Accuracy: 100.00\n",
      "Train Epoch: 176 [7680/50000 (17%)]\tLoss: 0.015649, Accuracy: 99.80\n",
      "Train Epoch: 176 [10240/50000 (23%)]\tLoss: 0.005452, Accuracy: 99.80\n",
      "Train Epoch: 176 [12800/50000 (28%)]\tLoss: 0.002533, Accuracy: 100.00\n",
      "Train Epoch: 176 [15360/50000 (34%)]\tLoss: 0.002283, Accuracy: 100.00\n",
      "Train Epoch: 176 [17920/50000 (40%)]\tLoss: 0.002397, Accuracy: 100.00\n",
      "Train Epoch: 176 [20480/50000 (45%)]\tLoss: 0.005680, Accuracy: 99.80\n",
      "Train Epoch: 176 [23040/50000 (51%)]\tLoss: 0.004467, Accuracy: 100.00\n",
      "Train Epoch: 176 [25600/50000 (57%)]\tLoss: 0.003822, Accuracy: 100.00\n",
      "Train Epoch: 176 [28160/50000 (62%)]\tLoss: 0.003047, Accuracy: 100.00\n",
      "Train Epoch: 176 [30720/50000 (68%)]\tLoss: 0.003250, Accuracy: 100.00\n",
      "Train Epoch: 176 [33280/50000 (74%)]\tLoss: 0.002298, Accuracy: 100.00\n",
      "Train Epoch: 176 [35840/50000 (80%)]\tLoss: 0.002216, Accuracy: 100.00\n",
      "Train Epoch: 176 [38400/50000 (85%)]\tLoss: 0.004915, Accuracy: 99.80\n",
      "Train Epoch: 176 [40960/50000 (91%)]\tLoss: 0.003693, Accuracy: 100.00\n",
      "Train Epoch: 176 [43520/50000 (97%)]\tLoss: 0.011720, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.3001, Accuracy: 4647/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.800421476364136 s]\n",
      "Train Epoch: 177 [0/50000 (0%)]\tLoss: 0.004391, Accuracy: 99.80\n",
      "Train Epoch: 177 [2560/50000 (6%)]\tLoss: 0.002457, Accuracy: 100.00\n",
      "Train Epoch: 177 [5120/50000 (11%)]\tLoss: 0.003790, Accuracy: 100.00\n",
      "Train Epoch: 177 [7680/50000 (17%)]\tLoss: 0.003888, Accuracy: 100.00\n",
      "Train Epoch: 177 [10240/50000 (23%)]\tLoss: 0.003648, Accuracy: 100.00\n",
      "Train Epoch: 177 [12800/50000 (28%)]\tLoss: 0.003159, Accuracy: 100.00\n",
      "Train Epoch: 177 [15360/50000 (34%)]\tLoss: 0.002306, Accuracy: 100.00\n",
      "Train Epoch: 177 [17920/50000 (40%)]\tLoss: 0.003389, Accuracy: 100.00\n",
      "Train Epoch: 177 [20480/50000 (45%)]\tLoss: 0.002240, Accuracy: 100.00\n",
      "Train Epoch: 177 [23040/50000 (51%)]\tLoss: 0.002546, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 177 [25600/50000 (57%)]\tLoss: 0.009114, Accuracy: 99.80\n",
      "Train Epoch: 177 [28160/50000 (62%)]\tLoss: 0.004765, Accuracy: 99.80\n",
      "Train Epoch: 177 [30720/50000 (68%)]\tLoss: 0.004237, Accuracy: 100.00\n",
      "Train Epoch: 177 [33280/50000 (74%)]\tLoss: 0.003932, Accuracy: 100.00\n",
      "Train Epoch: 177 [35840/50000 (80%)]\tLoss: 0.002813, Accuracy: 100.00\n",
      "Train Epoch: 177 [38400/50000 (85%)]\tLoss: 0.001690, Accuracy: 100.00\n",
      "Train Epoch: 177 [40960/50000 (91%)]\tLoss: 0.006907, Accuracy: 99.80\n",
      "Train Epoch: 177 [43520/50000 (97%)]\tLoss: 0.002612, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3082, Accuracy: 4659/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96171474456787 s]\n",
      "Train Epoch: 178 [0/50000 (0%)]\tLoss: 0.003174, Accuracy: 100.00\n",
      "Train Epoch: 178 [2560/50000 (6%)]\tLoss: 0.007023, Accuracy: 99.80\n",
      "Train Epoch: 178 [5120/50000 (11%)]\tLoss: 0.006146, Accuracy: 99.80\n",
      "Train Epoch: 178 [7680/50000 (17%)]\tLoss: 0.003202, Accuracy: 100.00\n",
      "Train Epoch: 178 [10240/50000 (23%)]\tLoss: 0.005159, Accuracy: 99.80\n",
      "Train Epoch: 178 [12800/50000 (28%)]\tLoss: 0.001825, Accuracy: 100.00\n",
      "Train Epoch: 178 [15360/50000 (34%)]\tLoss: 0.002260, Accuracy: 100.00\n",
      "Train Epoch: 178 [17920/50000 (40%)]\tLoss: 0.002533, Accuracy: 100.00\n",
      "Train Epoch: 178 [20480/50000 (45%)]\tLoss: 0.004773, Accuracy: 100.00\n",
      "Train Epoch: 178 [23040/50000 (51%)]\tLoss: 0.007111, Accuracy: 99.80\n",
      "Train Epoch: 178 [25600/50000 (57%)]\tLoss: 0.003125, Accuracy: 100.00\n",
      "Train Epoch: 178 [28160/50000 (62%)]\tLoss: 0.003458, Accuracy: 100.00\n",
      "Train Epoch: 178 [30720/50000 (68%)]\tLoss: 0.004075, Accuracy: 100.00\n",
      "Train Epoch: 178 [33280/50000 (74%)]\tLoss: 0.008105, Accuracy: 99.80\n",
      "Train Epoch: 178 [35840/50000 (80%)]\tLoss: 0.003675, Accuracy: 100.00\n",
      "Train Epoch: 178 [38400/50000 (85%)]\tLoss: 0.002593, Accuracy: 100.00\n",
      "Train Epoch: 178 [40960/50000 (91%)]\tLoss: 0.004316, Accuracy: 100.00\n",
      "Train Epoch: 178 [43520/50000 (97%)]\tLoss: 0.004904, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3065, Accuracy: 4658/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.95179319381714 s]\n",
      "Train Epoch: 179 [0/50000 (0%)]\tLoss: 0.004192, Accuracy: 100.00\n",
      "Train Epoch: 179 [2560/50000 (6%)]\tLoss: 0.004154, Accuracy: 100.00\n",
      "Train Epoch: 179 [5120/50000 (11%)]\tLoss: 0.005420, Accuracy: 99.80\n",
      "Train Epoch: 179 [7680/50000 (17%)]\tLoss: 0.007482, Accuracy: 99.80\n",
      "Train Epoch: 179 [10240/50000 (23%)]\tLoss: 0.004073, Accuracy: 100.00\n",
      "Train Epoch: 179 [12800/50000 (28%)]\tLoss: 0.004044, Accuracy: 100.00\n",
      "Train Epoch: 179 [15360/50000 (34%)]\tLoss: 0.004063, Accuracy: 100.00\n",
      "Train Epoch: 179 [17920/50000 (40%)]\tLoss: 0.013271, Accuracy: 99.61\n",
      "Train Epoch: 179 [20480/50000 (45%)]\tLoss: 0.004580, Accuracy: 100.00\n",
      "Train Epoch: 179 [23040/50000 (51%)]\tLoss: 0.001917, Accuracy: 100.00\n",
      "Train Epoch: 179 [25600/50000 (57%)]\tLoss: 0.002710, Accuracy: 100.00\n",
      "Train Epoch: 179 [28160/50000 (62%)]\tLoss: 0.010976, Accuracy: 99.80\n",
      "Train Epoch: 179 [30720/50000 (68%)]\tLoss: 0.006025, Accuracy: 99.80\n",
      "Train Epoch: 179 [33280/50000 (74%)]\tLoss: 0.008024, Accuracy: 99.80\n",
      "Train Epoch: 179 [35840/50000 (80%)]\tLoss: 0.003310, Accuracy: 100.00\n",
      "Train Epoch: 179 [38400/50000 (85%)]\tLoss: 0.004683, Accuracy: 100.00\n",
      "Train Epoch: 179 [40960/50000 (91%)]\tLoss: 0.002096, Accuracy: 100.00\n",
      "Train Epoch: 179 [43520/50000 (97%)]\tLoss: 0.001921, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3036, Accuracy: 4664/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.956332206726074 s]\n",
      "Train Epoch: 180 [0/50000 (0%)]\tLoss: 0.001954, Accuracy: 100.00\n",
      "Train Epoch: 180 [2560/50000 (6%)]\tLoss: 0.012161, Accuracy: 99.61\n",
      "Train Epoch: 180 [5120/50000 (11%)]\tLoss: 0.003080, Accuracy: 100.00\n",
      "Train Epoch: 180 [7680/50000 (17%)]\tLoss: 0.006600, Accuracy: 99.80\n",
      "Train Epoch: 180 [10240/50000 (23%)]\tLoss: 0.001642, Accuracy: 100.00\n",
      "Train Epoch: 180 [12800/50000 (28%)]\tLoss: 0.001671, Accuracy: 100.00\n",
      "Train Epoch: 180 [15360/50000 (34%)]\tLoss: 0.002564, Accuracy: 100.00\n",
      "Train Epoch: 180 [17920/50000 (40%)]\tLoss: 0.003425, Accuracy: 100.00\n",
      "Train Epoch: 180 [20480/50000 (45%)]\tLoss: 0.002752, Accuracy: 100.00\n",
      "Train Epoch: 180 [23040/50000 (51%)]\tLoss: 0.004902, Accuracy: 100.00\n",
      "Train Epoch: 180 [25600/50000 (57%)]\tLoss: 0.009196, Accuracy: 99.61\n",
      "Train Epoch: 180 [28160/50000 (62%)]\tLoss: 0.004588, Accuracy: 100.00\n",
      "Train Epoch: 180 [30720/50000 (68%)]\tLoss: 0.003398, Accuracy: 100.00\n",
      "Train Epoch: 180 [33280/50000 (74%)]\tLoss: 0.002708, Accuracy: 100.00\n",
      "Train Epoch: 180 [35840/50000 (80%)]\tLoss: 0.004618, Accuracy: 100.00\n",
      "Train Epoch: 180 [38400/50000 (85%)]\tLoss: 0.005026, Accuracy: 99.80\n",
      "Train Epoch: 180 [40960/50000 (91%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "Train Epoch: 180 [43520/50000 (97%)]\tLoss: 0.005612, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3106, Accuracy: 4654/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.973283767700195 s]\n",
      "\n",
      "Test set: Average loss: 0.3405, Accuracy: 9277/10000 (92.77%)\n",
      "\n",
      "Train Epoch: 181 [0/50000 (0%)]\tLoss: 0.002603, Accuracy: 100.00\n",
      "Train Epoch: 181 [2560/50000 (6%)]\tLoss: 0.003688, Accuracy: 100.00\n",
      "Train Epoch: 181 [5120/50000 (11%)]\tLoss: 0.009543, Accuracy: 99.80\n",
      "Train Epoch: 181 [7680/50000 (17%)]\tLoss: 0.001997, Accuracy: 100.00\n",
      "Train Epoch: 181 [10240/50000 (23%)]\tLoss: 0.004286, Accuracy: 100.00\n",
      "Train Epoch: 181 [12800/50000 (28%)]\tLoss: 0.001942, Accuracy: 100.00\n",
      "Train Epoch: 181 [15360/50000 (34%)]\tLoss: 0.003148, Accuracy: 100.00\n",
      "Train Epoch: 181 [17920/50000 (40%)]\tLoss: 0.004719, Accuracy: 99.80\n",
      "Train Epoch: 181 [20480/50000 (45%)]\tLoss: 0.002438, Accuracy: 100.00\n",
      "Train Epoch: 181 [23040/50000 (51%)]\tLoss: 0.002697, Accuracy: 100.00\n",
      "Train Epoch: 181 [25600/50000 (57%)]\tLoss: 0.002828, Accuracy: 100.00\n",
      "Train Epoch: 181 [28160/50000 (62%)]\tLoss: 0.004125, Accuracy: 100.00\n",
      "Train Epoch: 181 [30720/50000 (68%)]\tLoss: 0.002581, Accuracy: 100.00\n",
      "Train Epoch: 181 [33280/50000 (74%)]\tLoss: 0.001961, Accuracy: 100.00\n",
      "Train Epoch: 181 [35840/50000 (80%)]\tLoss: 0.002554, Accuracy: 100.00\n",
      "Train Epoch: 181 [38400/50000 (85%)]\tLoss: 0.004328, Accuracy: 100.00\n",
      "Train Epoch: 181 [40960/50000 (91%)]\tLoss: 0.003050, Accuracy: 100.00\n",
      "Train Epoch: 181 [43520/50000 (97%)]\tLoss: 0.003408, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2931, Accuracy: 4670/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.74423861503601 s]\n",
      "Train Epoch: 182 [0/50000 (0%)]\tLoss: 0.002208, Accuracy: 100.00\n",
      "Train Epoch: 182 [2560/50000 (6%)]\tLoss: 0.008109, Accuracy: 99.80\n",
      "Train Epoch: 182 [5120/50000 (11%)]\tLoss: 0.002901, Accuracy: 100.00\n",
      "Train Epoch: 182 [7680/50000 (17%)]\tLoss: 0.001962, Accuracy: 100.00\n",
      "Train Epoch: 182 [10240/50000 (23%)]\tLoss: 0.001838, Accuracy: 100.00\n",
      "Train Epoch: 182 [12800/50000 (28%)]\tLoss: 0.005357, Accuracy: 99.80\n",
      "Train Epoch: 182 [15360/50000 (34%)]\tLoss: 0.003592, Accuracy: 100.00\n",
      "Train Epoch: 182 [17920/50000 (40%)]\tLoss: 0.001680, Accuracy: 100.00\n",
      "Train Epoch: 182 [20480/50000 (45%)]\tLoss: 0.011083, Accuracy: 99.61\n",
      "Train Epoch: 182 [23040/50000 (51%)]\tLoss: 0.003641, Accuracy: 100.00\n",
      "Train Epoch: 182 [25600/50000 (57%)]\tLoss: 0.010743, Accuracy: 99.41\n",
      "Train Epoch: 182 [28160/50000 (62%)]\tLoss: 0.003415, Accuracy: 100.00\n",
      "Train Epoch: 182 [30720/50000 (68%)]\tLoss: 0.002416, Accuracy: 100.00\n",
      "Train Epoch: 182 [33280/50000 (74%)]\tLoss: 0.003024, Accuracy: 100.00\n",
      "Train Epoch: 182 [35840/50000 (80%)]\tLoss: 0.002236, Accuracy: 100.00\n",
      "Train Epoch: 182 [38400/50000 (85%)]\tLoss: 0.002561, Accuracy: 100.00\n",
      "Train Epoch: 182 [40960/50000 (91%)]\tLoss: 0.009881, Accuracy: 99.61\n",
      "Train Epoch: 182 [43520/50000 (97%)]\tLoss: 0.003158, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2966, Accuracy: 4670/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.917184114456177 s]\n",
      "Train Epoch: 183 [0/50000 (0%)]\tLoss: 0.003958, Accuracy: 99.80\n",
      "Train Epoch: 183 [2560/50000 (6%)]\tLoss: 0.005094, Accuracy: 100.00\n",
      "Train Epoch: 183 [5120/50000 (11%)]\tLoss: 0.005607, Accuracy: 99.80\n",
      "Train Epoch: 183 [7680/50000 (17%)]\tLoss: 0.003275, Accuracy: 100.00\n",
      "Train Epoch: 183 [10240/50000 (23%)]\tLoss: 0.001711, Accuracy: 100.00\n",
      "Train Epoch: 183 [12800/50000 (28%)]\tLoss: 0.005248, Accuracy: 100.00\n",
      "Train Epoch: 183 [15360/50000 (34%)]\tLoss: 0.002360, Accuracy: 100.00\n",
      "Train Epoch: 183 [17920/50000 (40%)]\tLoss: 0.002318, Accuracy: 100.00\n",
      "Train Epoch: 183 [20480/50000 (45%)]\tLoss: 0.002134, Accuracy: 100.00\n",
      "Train Epoch: 183 [23040/50000 (51%)]\tLoss: 0.002543, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 183 [25600/50000 (57%)]\tLoss: 0.003260, Accuracy: 100.00\n",
      "Train Epoch: 183 [28160/50000 (62%)]\tLoss: 0.003614, Accuracy: 100.00\n",
      "Train Epoch: 183 [30720/50000 (68%)]\tLoss: 0.003473, Accuracy: 100.00\n",
      "Train Epoch: 183 [33280/50000 (74%)]\tLoss: 0.010768, Accuracy: 99.80\n",
      "Train Epoch: 183 [35840/50000 (80%)]\tLoss: 0.004145, Accuracy: 100.00\n",
      "Train Epoch: 183 [38400/50000 (85%)]\tLoss: 0.003504, Accuracy: 100.00\n",
      "Train Epoch: 183 [40960/50000 (91%)]\tLoss: 0.001999, Accuracy: 100.00\n",
      "Train Epoch: 183 [43520/50000 (97%)]\tLoss: 0.003292, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3140, Accuracy: 4661/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.931291580200195 s]\n",
      "Train Epoch: 184 [0/50000 (0%)]\tLoss: 0.008608, Accuracy: 99.61\n",
      "Train Epoch: 184 [2560/50000 (6%)]\tLoss: 0.002107, Accuracy: 100.00\n",
      "Train Epoch: 184 [5120/50000 (11%)]\tLoss: 0.007765, Accuracy: 99.80\n",
      "Train Epoch: 184 [7680/50000 (17%)]\tLoss: 0.002836, Accuracy: 100.00\n",
      "Train Epoch: 184 [10240/50000 (23%)]\tLoss: 0.003914, Accuracy: 99.80\n",
      "Train Epoch: 184 [12800/50000 (28%)]\tLoss: 0.003905, Accuracy: 100.00\n",
      "Train Epoch: 184 [15360/50000 (34%)]\tLoss: 0.007637, Accuracy: 99.80\n",
      "Train Epoch: 184 [17920/50000 (40%)]\tLoss: 0.006713, Accuracy: 99.80\n",
      "Train Epoch: 184 [20480/50000 (45%)]\tLoss: 0.004577, Accuracy: 100.00\n",
      "Train Epoch: 184 [23040/50000 (51%)]\tLoss: 0.002120, Accuracy: 100.00\n",
      "Train Epoch: 184 [25600/50000 (57%)]\tLoss: 0.002515, Accuracy: 100.00\n",
      "Train Epoch: 184 [28160/50000 (62%)]\tLoss: 0.002140, Accuracy: 100.00\n",
      "Train Epoch: 184 [30720/50000 (68%)]\tLoss: 0.002462, Accuracy: 100.00\n",
      "Train Epoch: 184 [33280/50000 (74%)]\tLoss: 0.006356, Accuracy: 99.80\n",
      "Train Epoch: 184 [35840/50000 (80%)]\tLoss: 0.002191, Accuracy: 100.00\n",
      "Train Epoch: 184 [38400/50000 (85%)]\tLoss: 0.001634, Accuracy: 100.00\n",
      "Train Epoch: 184 [40960/50000 (91%)]\tLoss: 0.002503, Accuracy: 100.00\n",
      "Train Epoch: 184 [43520/50000 (97%)]\tLoss: 0.005179, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3048, Accuracy: 4647/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.976358652114868 s]\n",
      "Train Epoch: 185 [0/50000 (0%)]\tLoss: 0.002381, Accuracy: 100.00\n",
      "Train Epoch: 185 [2560/50000 (6%)]\tLoss: 0.003613, Accuracy: 100.00\n",
      "Train Epoch: 185 [5120/50000 (11%)]\tLoss: 0.004747, Accuracy: 99.80\n",
      "Train Epoch: 185 [7680/50000 (17%)]\tLoss: 0.004116, Accuracy: 99.80\n",
      "Train Epoch: 185 [10240/50000 (23%)]\tLoss: 0.004153, Accuracy: 100.00\n",
      "Train Epoch: 185 [12800/50000 (28%)]\tLoss: 0.003212, Accuracy: 100.00\n",
      "Train Epoch: 185 [15360/50000 (34%)]\tLoss: 0.002635, Accuracy: 100.00\n",
      "Train Epoch: 185 [17920/50000 (40%)]\tLoss: 0.004928, Accuracy: 99.80\n",
      "Train Epoch: 185 [20480/50000 (45%)]\tLoss: 0.003357, Accuracy: 100.00\n",
      "Train Epoch: 185 [23040/50000 (51%)]\tLoss: 0.008592, Accuracy: 99.61\n",
      "Train Epoch: 185 [25600/50000 (57%)]\tLoss: 0.002045, Accuracy: 100.00\n",
      "Train Epoch: 185 [28160/50000 (62%)]\tLoss: 0.005104, Accuracy: 99.80\n",
      "Train Epoch: 185 [30720/50000 (68%)]\tLoss: 0.004214, Accuracy: 100.00\n",
      "Train Epoch: 185 [33280/50000 (74%)]\tLoss: 0.002663, Accuracy: 100.00\n",
      "Train Epoch: 185 [35840/50000 (80%)]\tLoss: 0.002437, Accuracy: 100.00\n",
      "Train Epoch: 185 [38400/50000 (85%)]\tLoss: 0.002107, Accuracy: 100.00\n",
      "Train Epoch: 185 [40960/50000 (91%)]\tLoss: 0.003375, Accuracy: 100.00\n",
      "Train Epoch: 185 [43520/50000 (97%)]\tLoss: 0.002113, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3023, Accuracy: 4655/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.931825876235962 s]\n",
      "Train Epoch: 186 [0/50000 (0%)]\tLoss: 0.011048, Accuracy: 99.61\n",
      "Train Epoch: 186 [2560/50000 (6%)]\tLoss: 0.003710, Accuracy: 100.00\n",
      "Train Epoch: 186 [5120/50000 (11%)]\tLoss: 0.004243, Accuracy: 100.00\n",
      "Train Epoch: 186 [7680/50000 (17%)]\tLoss: 0.002061, Accuracy: 100.00\n",
      "Train Epoch: 186 [10240/50000 (23%)]\tLoss: 0.002349, Accuracy: 100.00\n",
      "Train Epoch: 186 [12800/50000 (28%)]\tLoss: 0.013540, Accuracy: 99.61\n",
      "Train Epoch: 186 [15360/50000 (34%)]\tLoss: 0.003465, Accuracy: 100.00\n",
      "Train Epoch: 186 [17920/50000 (40%)]\tLoss: 0.005682, Accuracy: 99.80\n",
      "Train Epoch: 186 [20480/50000 (45%)]\tLoss: 0.004439, Accuracy: 100.00\n",
      "Train Epoch: 186 [23040/50000 (51%)]\tLoss: 0.005183, Accuracy: 99.80\n",
      "Train Epoch: 186 [25600/50000 (57%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "Train Epoch: 186 [28160/50000 (62%)]\tLoss: 0.002637, Accuracy: 100.00\n",
      "Train Epoch: 186 [30720/50000 (68%)]\tLoss: 0.008221, Accuracy: 99.80\n",
      "Train Epoch: 186 [33280/50000 (74%)]\tLoss: 0.004951, Accuracy: 100.00\n",
      "Train Epoch: 186 [35840/50000 (80%)]\tLoss: 0.002764, Accuracy: 100.00\n",
      "Train Epoch: 186 [38400/50000 (85%)]\tLoss: 0.002319, Accuracy: 100.00\n",
      "Train Epoch: 186 [40960/50000 (91%)]\tLoss: 0.010685, Accuracy: 99.61\n",
      "Train Epoch: 186 [43520/50000 (97%)]\tLoss: 0.003285, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3092, Accuracy: 4670/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96468687057495 s]\n",
      "Train Epoch: 187 [0/50000 (0%)]\tLoss: 0.010127, Accuracy: 99.61\n",
      "Train Epoch: 187 [2560/50000 (6%)]\tLoss: 0.007175, Accuracy: 99.80\n",
      "Train Epoch: 187 [5120/50000 (11%)]\tLoss: 0.002898, Accuracy: 100.00\n",
      "Train Epoch: 187 [7680/50000 (17%)]\tLoss: 0.005434, Accuracy: 100.00\n",
      "Train Epoch: 187 [10240/50000 (23%)]\tLoss: 0.003933, Accuracy: 100.00\n",
      "Train Epoch: 187 [12800/50000 (28%)]\tLoss: 0.003838, Accuracy: 100.00\n",
      "Train Epoch: 187 [15360/50000 (34%)]\tLoss: 0.003793, Accuracy: 100.00\n",
      "Train Epoch: 187 [17920/50000 (40%)]\tLoss: 0.004043, Accuracy: 100.00\n",
      "Train Epoch: 187 [20480/50000 (45%)]\tLoss: 0.003648, Accuracy: 100.00\n",
      "Train Epoch: 187 [23040/50000 (51%)]\tLoss: 0.001702, Accuracy: 100.00\n",
      "Train Epoch: 187 [25600/50000 (57%)]\tLoss: 0.007650, Accuracy: 99.80\n",
      "Train Epoch: 187 [28160/50000 (62%)]\tLoss: 0.002804, Accuracy: 100.00\n",
      "Train Epoch: 187 [30720/50000 (68%)]\tLoss: 0.002036, Accuracy: 100.00\n",
      "Train Epoch: 187 [33280/50000 (74%)]\tLoss: 0.004394, Accuracy: 100.00\n",
      "Train Epoch: 187 [35840/50000 (80%)]\tLoss: 0.002642, Accuracy: 100.00\n",
      "Train Epoch: 187 [38400/50000 (85%)]\tLoss: 0.002425, Accuracy: 100.00\n",
      "Train Epoch: 187 [40960/50000 (91%)]\tLoss: 0.004144, Accuracy: 99.80\n",
      "Train Epoch: 187 [43520/50000 (97%)]\tLoss: 0.003812, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2999, Accuracy: 4667/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00321936607361 s]\n",
      "Train Epoch: 188 [0/50000 (0%)]\tLoss: 0.002488, Accuracy: 100.00\n",
      "Train Epoch: 188 [2560/50000 (6%)]\tLoss: 0.003421, Accuracy: 100.00\n",
      "Train Epoch: 188 [5120/50000 (11%)]\tLoss: 0.001432, Accuracy: 100.00\n",
      "Train Epoch: 188 [7680/50000 (17%)]\tLoss: 0.003054, Accuracy: 100.00\n",
      "Train Epoch: 188 [10240/50000 (23%)]\tLoss: 0.002655, Accuracy: 100.00\n",
      "Train Epoch: 188 [12800/50000 (28%)]\tLoss: 0.002635, Accuracy: 100.00\n",
      "Train Epoch: 188 [15360/50000 (34%)]\tLoss: 0.003633, Accuracy: 99.80\n",
      "Train Epoch: 188 [17920/50000 (40%)]\tLoss: 0.002991, Accuracy: 100.00\n",
      "Train Epoch: 188 [20480/50000 (45%)]\tLoss: 0.015181, Accuracy: 99.41\n",
      "Train Epoch: 188 [23040/50000 (51%)]\tLoss: 0.006305, Accuracy: 100.00\n",
      "Train Epoch: 188 [25600/50000 (57%)]\tLoss: 0.004329, Accuracy: 99.80\n",
      "Train Epoch: 188 [28160/50000 (62%)]\tLoss: 0.001997, Accuracy: 100.00\n",
      "Train Epoch: 188 [30720/50000 (68%)]\tLoss: 0.002928, Accuracy: 100.00\n",
      "Train Epoch: 188 [33280/50000 (74%)]\tLoss: 0.002425, Accuracy: 100.00\n",
      "Train Epoch: 188 [35840/50000 (80%)]\tLoss: 0.003748, Accuracy: 99.80\n",
      "Train Epoch: 188 [38400/50000 (85%)]\tLoss: 0.003157, Accuracy: 100.00\n",
      "Train Epoch: 188 [40960/50000 (91%)]\tLoss: 0.009514, Accuracy: 99.80\n",
      "Train Epoch: 188 [43520/50000 (97%)]\tLoss: 0.003028, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3192, Accuracy: 4660/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.972053289413452 s]\n",
      "Train Epoch: 189 [0/50000 (0%)]\tLoss: 0.008058, Accuracy: 99.61\n",
      "Train Epoch: 189 [2560/50000 (6%)]\tLoss: 0.003837, Accuracy: 100.00\n",
      "Train Epoch: 189 [5120/50000 (11%)]\tLoss: 0.002862, Accuracy: 100.00\n",
      "Train Epoch: 189 [7680/50000 (17%)]\tLoss: 0.008968, Accuracy: 99.80\n",
      "Train Epoch: 189 [10240/50000 (23%)]\tLoss: 0.004098, Accuracy: 100.00\n",
      "Train Epoch: 189 [12800/50000 (28%)]\tLoss: 0.002270, Accuracy: 100.00\n",
      "Train Epoch: 189 [15360/50000 (34%)]\tLoss: 0.003780, Accuracy: 100.00\n",
      "Train Epoch: 189 [17920/50000 (40%)]\tLoss: 0.009176, Accuracy: 99.80\n",
      "Train Epoch: 189 [20480/50000 (45%)]\tLoss: 0.001875, Accuracy: 100.00\n",
      "Train Epoch: 189 [23040/50000 (51%)]\tLoss: 0.004993, Accuracy: 99.80\n",
      "Train Epoch: 189 [25600/50000 (57%)]\tLoss: 0.003218, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 189 [28160/50000 (62%)]\tLoss: 0.004130, Accuracy: 100.00\n",
      "Train Epoch: 189 [30720/50000 (68%)]\tLoss: 0.003483, Accuracy: 99.80\n",
      "Train Epoch: 189 [33280/50000 (74%)]\tLoss: 0.002332, Accuracy: 100.00\n",
      "Train Epoch: 189 [35840/50000 (80%)]\tLoss: 0.002508, Accuracy: 100.00\n",
      "Train Epoch: 189 [38400/50000 (85%)]\tLoss: 0.002423, Accuracy: 100.00\n",
      "Train Epoch: 189 [40960/50000 (91%)]\tLoss: 0.004455, Accuracy: 100.00\n",
      "Train Epoch: 189 [43520/50000 (97%)]\tLoss: 0.015174, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3159, Accuracy: 4655/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.941594123840332 s]\n",
      "Train Epoch: 190 [0/50000 (0%)]\tLoss: 0.002252, Accuracy: 100.00\n",
      "Train Epoch: 190 [2560/50000 (6%)]\tLoss: 0.004169, Accuracy: 100.00\n",
      "Train Epoch: 190 [5120/50000 (11%)]\tLoss: 0.003011, Accuracy: 100.00\n",
      "Train Epoch: 190 [7680/50000 (17%)]\tLoss: 0.002970, Accuracy: 100.00\n",
      "Train Epoch: 190 [10240/50000 (23%)]\tLoss: 0.002231, Accuracy: 100.00\n",
      "Train Epoch: 190 [12800/50000 (28%)]\tLoss: 0.006357, Accuracy: 99.80\n",
      "Train Epoch: 190 [15360/50000 (34%)]\tLoss: 0.002485, Accuracy: 100.00\n",
      "Train Epoch: 190 [17920/50000 (40%)]\tLoss: 0.008451, Accuracy: 99.61\n",
      "Train Epoch: 190 [20480/50000 (45%)]\tLoss: 0.003869, Accuracy: 100.00\n",
      "Train Epoch: 190 [23040/50000 (51%)]\tLoss: 0.001889, Accuracy: 100.00\n",
      "Train Epoch: 190 [25600/50000 (57%)]\tLoss: 0.007571, Accuracy: 99.80\n",
      "Train Epoch: 190 [28160/50000 (62%)]\tLoss: 0.003015, Accuracy: 100.00\n",
      "Train Epoch: 190 [30720/50000 (68%)]\tLoss: 0.003497, Accuracy: 100.00\n",
      "Train Epoch: 190 [33280/50000 (74%)]\tLoss: 0.005208, Accuracy: 99.80\n",
      "Train Epoch: 190 [35840/50000 (80%)]\tLoss: 0.001675, Accuracy: 100.00\n",
      "Train Epoch: 190 [38400/50000 (85%)]\tLoss: 0.001653, Accuracy: 100.00\n",
      "Train Epoch: 190 [40960/50000 (91%)]\tLoss: 0.004323, Accuracy: 99.80\n",
      "Train Epoch: 190 [43520/50000 (97%)]\tLoss: 0.006122, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3148, Accuracy: 4645/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.923197031021118 s]\n",
      "\n",
      "Test set: Average loss: 0.3396, Accuracy: 9280/10000 (92.80%)\n",
      "\n",
      "Train Epoch: 191 [0/50000 (0%)]\tLoss: 0.002048, Accuracy: 100.00\n",
      "Train Epoch: 191 [2560/50000 (6%)]\tLoss: 0.002368, Accuracy: 100.00\n",
      "Train Epoch: 191 [5120/50000 (11%)]\tLoss: 0.003759, Accuracy: 100.00\n",
      "Train Epoch: 191 [7680/50000 (17%)]\tLoss: 0.003986, Accuracy: 100.00\n",
      "Train Epoch: 191 [10240/50000 (23%)]\tLoss: 0.003175, Accuracy: 100.00\n",
      "Train Epoch: 191 [12800/50000 (28%)]\tLoss: 0.004199, Accuracy: 100.00\n",
      "Train Epoch: 191 [15360/50000 (34%)]\tLoss: 0.003241, Accuracy: 100.00\n",
      "Train Epoch: 191 [17920/50000 (40%)]\tLoss: 0.003141, Accuracy: 100.00\n",
      "Train Epoch: 191 [20480/50000 (45%)]\tLoss: 0.002663, Accuracy: 100.00\n",
      "Train Epoch: 191 [23040/50000 (51%)]\tLoss: 0.002452, Accuracy: 100.00\n",
      "Train Epoch: 191 [25600/50000 (57%)]\tLoss: 0.003938, Accuracy: 99.80\n",
      "Train Epoch: 191 [28160/50000 (62%)]\tLoss: 0.001982, Accuracy: 100.00\n",
      "Train Epoch: 191 [30720/50000 (68%)]\tLoss: 0.003261, Accuracy: 100.00\n",
      "Train Epoch: 191 [33280/50000 (74%)]\tLoss: 0.002607, Accuracy: 100.00\n",
      "Train Epoch: 191 [35840/50000 (80%)]\tLoss: 0.002167, Accuracy: 100.00\n",
      "Train Epoch: 191 [38400/50000 (85%)]\tLoss: 0.002654, Accuracy: 100.00\n",
      "Train Epoch: 191 [40960/50000 (91%)]\tLoss: 0.008630, Accuracy: 99.61\n",
      "Train Epoch: 191 [43520/50000 (97%)]\tLoss: 0.003143, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3155, Accuracy: 4650/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.792508602142334 s]\n",
      "Train Epoch: 192 [0/50000 (0%)]\tLoss: 0.002301, Accuracy: 100.00\n",
      "Train Epoch: 192 [2560/50000 (6%)]\tLoss: 0.003230, Accuracy: 100.00\n",
      "Train Epoch: 192 [5120/50000 (11%)]\tLoss: 0.008399, Accuracy: 99.61\n",
      "Train Epoch: 192 [7680/50000 (17%)]\tLoss: 0.002394, Accuracy: 100.00\n",
      "Train Epoch: 192 [10240/50000 (23%)]\tLoss: 0.004452, Accuracy: 100.00\n",
      "Train Epoch: 192 [12800/50000 (28%)]\tLoss: 0.003457, Accuracy: 100.00\n",
      "Train Epoch: 192 [15360/50000 (34%)]\tLoss: 0.003045, Accuracy: 100.00\n",
      "Train Epoch: 192 [17920/50000 (40%)]\tLoss: 0.003320, Accuracy: 100.00\n",
      "Train Epoch: 192 [20480/50000 (45%)]\tLoss: 0.003255, Accuracy: 100.00\n",
      "Train Epoch: 192 [23040/50000 (51%)]\tLoss: 0.001717, Accuracy: 100.00\n",
      "Train Epoch: 192 [25600/50000 (57%)]\tLoss: 0.003406, Accuracy: 100.00\n",
      "Train Epoch: 192 [28160/50000 (62%)]\tLoss: 0.003721, Accuracy: 100.00\n",
      "Train Epoch: 192 [30720/50000 (68%)]\tLoss: 0.002634, Accuracy: 100.00\n",
      "Train Epoch: 192 [33280/50000 (74%)]\tLoss: 0.002971, Accuracy: 100.00\n",
      "Train Epoch: 192 [35840/50000 (80%)]\tLoss: 0.003314, Accuracy: 100.00\n",
      "Train Epoch: 192 [38400/50000 (85%)]\tLoss: 0.004815, Accuracy: 100.00\n",
      "Train Epoch: 192 [40960/50000 (91%)]\tLoss: 0.003394, Accuracy: 100.00\n",
      "Train Epoch: 192 [43520/50000 (97%)]\tLoss: 0.004968, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3047, Accuracy: 4640/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.935333490371704 s]\n",
      "Train Epoch: 193 [0/50000 (0%)]\tLoss: 0.002187, Accuracy: 100.00\n",
      "Train Epoch: 193 [2560/50000 (6%)]\tLoss: 0.001991, Accuracy: 100.00\n",
      "Train Epoch: 193 [5120/50000 (11%)]\tLoss: 0.003640, Accuracy: 100.00\n",
      "Train Epoch: 193 [7680/50000 (17%)]\tLoss: 0.011664, Accuracy: 99.61\n",
      "Train Epoch: 193 [10240/50000 (23%)]\tLoss: 0.004077, Accuracy: 99.80\n",
      "Train Epoch: 193 [12800/50000 (28%)]\tLoss: 0.005822, Accuracy: 100.00\n",
      "Train Epoch: 193 [15360/50000 (34%)]\tLoss: 0.002848, Accuracy: 100.00\n",
      "Train Epoch: 193 [17920/50000 (40%)]\tLoss: 0.013739, Accuracy: 99.41\n",
      "Train Epoch: 193 [20480/50000 (45%)]\tLoss: 0.001580, Accuracy: 100.00\n",
      "Train Epoch: 193 [23040/50000 (51%)]\tLoss: 0.002958, Accuracy: 100.00\n",
      "Train Epoch: 193 [25600/50000 (57%)]\tLoss: 0.003008, Accuracy: 100.00\n",
      "Train Epoch: 193 [28160/50000 (62%)]\tLoss: 0.001813, Accuracy: 100.00\n",
      "Train Epoch: 193 [30720/50000 (68%)]\tLoss: 0.008902, Accuracy: 99.61\n",
      "Train Epoch: 193 [33280/50000 (74%)]\tLoss: 0.004055, Accuracy: 100.00\n",
      "Train Epoch: 193 [35840/50000 (80%)]\tLoss: 0.003579, Accuracy: 100.00\n",
      "Train Epoch: 193 [38400/50000 (85%)]\tLoss: 0.003484, Accuracy: 100.00\n",
      "Train Epoch: 193 [40960/50000 (91%)]\tLoss: 0.005417, Accuracy: 99.80\n",
      "Train Epoch: 193 [43520/50000 (97%)]\tLoss: 0.003408, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3114, Accuracy: 4657/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.959582567214966 s]\n",
      "Train Epoch: 194 [0/50000 (0%)]\tLoss: 0.002457, Accuracy: 100.00\n",
      "Train Epoch: 194 [2560/50000 (6%)]\tLoss: 0.003459, Accuracy: 100.00\n",
      "Train Epoch: 194 [5120/50000 (11%)]\tLoss: 0.002776, Accuracy: 100.00\n",
      "Train Epoch: 194 [7680/50000 (17%)]\tLoss: 0.004642, Accuracy: 100.00\n",
      "Train Epoch: 194 [10240/50000 (23%)]\tLoss: 0.002449, Accuracy: 100.00\n",
      "Train Epoch: 194 [12800/50000 (28%)]\tLoss: 0.003143, Accuracy: 100.00\n",
      "Train Epoch: 194 [15360/50000 (34%)]\tLoss: 0.007554, Accuracy: 99.61\n",
      "Train Epoch: 194 [17920/50000 (40%)]\tLoss: 0.006003, Accuracy: 99.80\n",
      "Train Epoch: 194 [20480/50000 (45%)]\tLoss: 0.002449, Accuracy: 100.00\n",
      "Train Epoch: 194 [23040/50000 (51%)]\tLoss: 0.002910, Accuracy: 100.00\n",
      "Train Epoch: 194 [25600/50000 (57%)]\tLoss: 0.002625, Accuracy: 100.00\n",
      "Train Epoch: 194 [28160/50000 (62%)]\tLoss: 0.001823, Accuracy: 100.00\n",
      "Train Epoch: 194 [30720/50000 (68%)]\tLoss: 0.002975, Accuracy: 100.00\n",
      "Train Epoch: 194 [33280/50000 (74%)]\tLoss: 0.002868, Accuracy: 100.00\n",
      "Train Epoch: 194 [35840/50000 (80%)]\tLoss: 0.005429, Accuracy: 100.00\n",
      "Train Epoch: 194 [38400/50000 (85%)]\tLoss: 0.003839, Accuracy: 100.00\n",
      "Train Epoch: 194 [40960/50000 (91%)]\tLoss: 0.020136, Accuracy: 99.41\n",
      "Train Epoch: 194 [43520/50000 (97%)]\tLoss: 0.002728, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3122, Accuracy: 4658/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.98669695854187 s]\n",
      "Train Epoch: 195 [0/50000 (0%)]\tLoss: 0.002230, Accuracy: 100.00\n",
      "Train Epoch: 195 [2560/50000 (6%)]\tLoss: 0.003782, Accuracy: 100.00\n",
      "Train Epoch: 195 [5120/50000 (11%)]\tLoss: 0.003372, Accuracy: 100.00\n",
      "Train Epoch: 195 [7680/50000 (17%)]\tLoss: 0.010305, Accuracy: 99.61\n",
      "Train Epoch: 195 [10240/50000 (23%)]\tLoss: 0.003860, Accuracy: 99.80\n",
      "Train Epoch: 195 [12800/50000 (28%)]\tLoss: 0.004063, Accuracy: 100.00\n",
      "Train Epoch: 195 [15360/50000 (34%)]\tLoss: 0.003220, Accuracy: 100.00\n",
      "Train Epoch: 195 [17920/50000 (40%)]\tLoss: 0.002401, Accuracy: 100.00\n",
      "Train Epoch: 195 [20480/50000 (45%)]\tLoss: 0.001868, Accuracy: 100.00\n",
      "Train Epoch: 195 [23040/50000 (51%)]\tLoss: 0.002692, Accuracy: 100.00\n",
      "Train Epoch: 195 [25600/50000 (57%)]\tLoss: 0.009019, Accuracy: 99.61\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 195 [28160/50000 (62%)]\tLoss: 0.002588, Accuracy: 100.00\n",
      "Train Epoch: 195 [30720/50000 (68%)]\tLoss: 0.002566, Accuracy: 100.00\n",
      "Train Epoch: 195 [33280/50000 (74%)]\tLoss: 0.007218, Accuracy: 99.61\n",
      "Train Epoch: 195 [35840/50000 (80%)]\tLoss: 0.006951, Accuracy: 99.80\n",
      "Train Epoch: 195 [38400/50000 (85%)]\tLoss: 0.002429, Accuracy: 100.00\n",
      "Train Epoch: 195 [40960/50000 (91%)]\tLoss: 0.002568, Accuracy: 100.00\n",
      "Train Epoch: 195 [43520/50000 (97%)]\tLoss: 0.009499, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3225, Accuracy: 4653/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.951425552368164 s]\n",
      "Train Epoch: 196 [0/50000 (0%)]\tLoss: 0.002127, Accuracy: 100.00\n",
      "Train Epoch: 196 [2560/50000 (6%)]\tLoss: 0.006782, Accuracy: 99.80\n",
      "Train Epoch: 196 [5120/50000 (11%)]\tLoss: 0.002254, Accuracy: 100.00\n",
      "Train Epoch: 196 [7680/50000 (17%)]\tLoss: 0.005765, Accuracy: 99.80\n",
      "Train Epoch: 196 [10240/50000 (23%)]\tLoss: 0.011833, Accuracy: 99.80\n",
      "Train Epoch: 196 [12800/50000 (28%)]\tLoss: 0.002329, Accuracy: 100.00\n",
      "Train Epoch: 196 [15360/50000 (34%)]\tLoss: 0.006861, Accuracy: 99.80\n",
      "Train Epoch: 196 [17920/50000 (40%)]\tLoss: 0.002528, Accuracy: 100.00\n",
      "Train Epoch: 196 [20480/50000 (45%)]\tLoss: 0.008004, Accuracy: 99.80\n",
      "Train Epoch: 196 [23040/50000 (51%)]\tLoss: 0.005074, Accuracy: 100.00\n",
      "Train Epoch: 196 [25600/50000 (57%)]\tLoss: 0.003164, Accuracy: 100.00\n",
      "Train Epoch: 196 [28160/50000 (62%)]\tLoss: 0.006911, Accuracy: 99.80\n",
      "Train Epoch: 196 [30720/50000 (68%)]\tLoss: 0.004574, Accuracy: 100.00\n",
      "Train Epoch: 196 [33280/50000 (74%)]\tLoss: 0.002441, Accuracy: 100.00\n",
      "Train Epoch: 196 [35840/50000 (80%)]\tLoss: 0.001739, Accuracy: 100.00\n",
      "Train Epoch: 196 [38400/50000 (85%)]\tLoss: 0.003203, Accuracy: 100.00\n",
      "Train Epoch: 196 [40960/50000 (91%)]\tLoss: 0.005138, Accuracy: 99.80\n",
      "Train Epoch: 196 [43520/50000 (97%)]\tLoss: 0.002101, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.3089, Accuracy: 4659/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96487045288086 s]\n",
      "Train Epoch: 197 [0/50000 (0%)]\tLoss: 0.002871, Accuracy: 100.00\n",
      "Train Epoch: 197 [2560/50000 (6%)]\tLoss: 0.004299, Accuracy: 100.00\n",
      "Train Epoch: 197 [5120/50000 (11%)]\tLoss: 0.005677, Accuracy: 100.00\n",
      "Train Epoch: 197 [7680/50000 (17%)]\tLoss: 0.004543, Accuracy: 99.80\n",
      "Train Epoch: 197 [10240/50000 (23%)]\tLoss: 0.003697, Accuracy: 100.00\n",
      "Train Epoch: 197 [12800/50000 (28%)]\tLoss: 0.010805, Accuracy: 99.61\n",
      "Train Epoch: 197 [15360/50000 (34%)]\tLoss: 0.002356, Accuracy: 100.00\n",
      "Train Epoch: 197 [17920/50000 (40%)]\tLoss: 0.010331, Accuracy: 99.80\n",
      "Train Epoch: 197 [20480/50000 (45%)]\tLoss: 0.002546, Accuracy: 100.00\n",
      "Train Epoch: 197 [23040/50000 (51%)]\tLoss: 0.002870, Accuracy: 100.00\n",
      "Train Epoch: 197 [25600/50000 (57%)]\tLoss: 0.008184, Accuracy: 99.80\n",
      "Train Epoch: 197 [28160/50000 (62%)]\tLoss: 0.004562, Accuracy: 99.80\n",
      "Train Epoch: 197 [30720/50000 (68%)]\tLoss: 0.005415, Accuracy: 99.80\n",
      "Train Epoch: 197 [33280/50000 (74%)]\tLoss: 0.004269, Accuracy: 99.80\n",
      "Train Epoch: 197 [35840/50000 (80%)]\tLoss: 0.002806, Accuracy: 100.00\n",
      "Train Epoch: 197 [38400/50000 (85%)]\tLoss: 0.004257, Accuracy: 100.00\n",
      "Train Epoch: 197 [40960/50000 (91%)]\tLoss: 0.002882, Accuracy: 100.00\n",
      "Train Epoch: 197 [43520/50000 (97%)]\tLoss: 0.005585, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3177, Accuracy: 4643/5000 (92.00%)\n",
      "\n",
      "the time of this epoch:[31.958904027938843 s]\n",
      "Train Epoch: 198 [0/50000 (0%)]\tLoss: 0.003687, Accuracy: 100.00\n",
      "Train Epoch: 198 [2560/50000 (6%)]\tLoss: 0.004859, Accuracy: 100.00\n",
      "Train Epoch: 198 [5120/50000 (11%)]\tLoss: 0.002375, Accuracy: 100.00\n",
      "Train Epoch: 198 [7680/50000 (17%)]\tLoss: 0.009805, Accuracy: 99.80\n",
      "Train Epoch: 198 [10240/50000 (23%)]\tLoss: 0.002429, Accuracy: 100.00\n",
      "Train Epoch: 198 [12800/50000 (28%)]\tLoss: 0.006539, Accuracy: 99.80\n",
      "Train Epoch: 198 [15360/50000 (34%)]\tLoss: 0.004446, Accuracy: 100.00\n",
      "Train Epoch: 198 [17920/50000 (40%)]\tLoss: 0.008604, Accuracy: 99.80\n",
      "Train Epoch: 198 [20480/50000 (45%)]\tLoss: 0.005760, Accuracy: 99.80\n",
      "Train Epoch: 198 [23040/50000 (51%)]\tLoss: 0.006265, Accuracy: 99.80\n",
      "Train Epoch: 198 [25600/50000 (57%)]\tLoss: 0.014160, Accuracy: 99.61\n",
      "Train Epoch: 198 [28160/50000 (62%)]\tLoss: 0.004199, Accuracy: 99.80\n",
      "Train Epoch: 198 [30720/50000 (68%)]\tLoss: 0.003247, Accuracy: 100.00\n",
      "Train Epoch: 198 [33280/50000 (74%)]\tLoss: 0.006308, Accuracy: 99.61\n",
      "Train Epoch: 198 [35840/50000 (80%)]\tLoss: 0.002532, Accuracy: 100.00\n",
      "Train Epoch: 198 [38400/50000 (85%)]\tLoss: 0.007286, Accuracy: 99.80\n",
      "Train Epoch: 198 [40960/50000 (91%)]\tLoss: 0.002444, Accuracy: 100.00\n",
      "Train Epoch: 198 [43520/50000 (97%)]\tLoss: 0.004784, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3090, Accuracy: 4663/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.037134408950806 s]\n",
      "Train Epoch: 199 [0/50000 (0%)]\tLoss: 0.004389, Accuracy: 100.00\n",
      "Train Epoch: 199 [2560/50000 (6%)]\tLoss: 0.003992, Accuracy: 100.00\n",
      "Train Epoch: 199 [5120/50000 (11%)]\tLoss: 0.010382, Accuracy: 99.61\n",
      "Train Epoch: 199 [7680/50000 (17%)]\tLoss: 0.013410, Accuracy: 99.61\n",
      "Train Epoch: 199 [10240/50000 (23%)]\tLoss: 0.002743, Accuracy: 100.00\n",
      "Train Epoch: 199 [12800/50000 (28%)]\tLoss: 0.002164, Accuracy: 100.00\n",
      "Train Epoch: 199 [15360/50000 (34%)]\tLoss: 0.013415, Accuracy: 99.61\n",
      "Train Epoch: 199 [17920/50000 (40%)]\tLoss: 0.013710, Accuracy: 99.61\n",
      "Train Epoch: 199 [20480/50000 (45%)]\tLoss: 0.009095, Accuracy: 99.80\n",
      "Train Epoch: 199 [23040/50000 (51%)]\tLoss: 0.006816, Accuracy: 99.80\n",
      "Train Epoch: 199 [25600/50000 (57%)]\tLoss: 0.003666, Accuracy: 100.00\n",
      "Train Epoch: 199 [28160/50000 (62%)]\tLoss: 0.004176, Accuracy: 100.00\n",
      "Train Epoch: 199 [30720/50000 (68%)]\tLoss: 0.007551, Accuracy: 99.80\n",
      "Train Epoch: 199 [33280/50000 (74%)]\tLoss: 0.003797, Accuracy: 100.00\n",
      "Train Epoch: 199 [35840/50000 (80%)]\tLoss: 0.007544, Accuracy: 99.80\n",
      "Train Epoch: 199 [38400/50000 (85%)]\tLoss: 0.003279, Accuracy: 100.00\n",
      "Train Epoch: 199 [40960/50000 (91%)]\tLoss: 0.003726, Accuracy: 100.00\n",
      "Train Epoch: 199 [43520/50000 (97%)]\tLoss: 0.013529, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.3157, Accuracy: 4656/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.99152660369873 s]\n",
      "Train Epoch: 200 [0/50000 (0%)]\tLoss: 0.009817, Accuracy: 99.80\n",
      "Train Epoch: 200 [2560/50000 (6%)]\tLoss: 0.005450, Accuracy: 99.80\n",
      "Train Epoch: 200 [5120/50000 (11%)]\tLoss: 0.003861, Accuracy: 100.00\n",
      "Train Epoch: 200 [7680/50000 (17%)]\tLoss: 0.003205, Accuracy: 100.00\n",
      "Train Epoch: 200 [10240/50000 (23%)]\tLoss: 0.007141, Accuracy: 99.61\n",
      "Train Epoch: 200 [12800/50000 (28%)]\tLoss: 0.016807, Accuracy: 99.61\n",
      "Train Epoch: 200 [15360/50000 (34%)]\tLoss: 0.004148, Accuracy: 100.00\n",
      "Train Epoch: 200 [17920/50000 (40%)]\tLoss: 0.010875, Accuracy: 99.41\n",
      "Train Epoch: 200 [20480/50000 (45%)]\tLoss: 0.006479, Accuracy: 100.00\n",
      "Train Epoch: 200 [23040/50000 (51%)]\tLoss: 0.014045, Accuracy: 99.80\n",
      "Train Epoch: 200 [25600/50000 (57%)]\tLoss: 0.003576, Accuracy: 100.00\n",
      "Train Epoch: 200 [28160/50000 (62%)]\tLoss: 0.005048, Accuracy: 99.80\n",
      "Train Epoch: 200 [30720/50000 (68%)]\tLoss: 0.009731, Accuracy: 99.61\n",
      "Train Epoch: 200 [33280/50000 (74%)]\tLoss: 0.016435, Accuracy: 99.41\n",
      "Train Epoch: 200 [35840/50000 (80%)]\tLoss: 0.002849, Accuracy: 100.00\n",
      "Train Epoch: 200 [38400/50000 (85%)]\tLoss: 0.002830, Accuracy: 100.00\n",
      "Train Epoch: 200 [40960/50000 (91%)]\tLoss: 0.005583, Accuracy: 99.80\n",
      "Train Epoch: 200 [43520/50000 (97%)]\tLoss: 0.008748, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.3097, Accuracy: 4661/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.99318528175354 s]\n",
      "\n",
      "Test set: Average loss: 0.3458, Accuracy: 9277/10000 (92.77%)\n",
      "\n",
      "Train Epoch: 201 [0/50000 (0%)]\tLoss: 0.002523, Accuracy: 100.00\n",
      "Train Epoch: 201 [2560/50000 (6%)]\tLoss: 0.003146, Accuracy: 100.00\n",
      "Train Epoch: 201 [5120/50000 (11%)]\tLoss: 0.014287, Accuracy: 99.41\n",
      "Train Epoch: 201 [7680/50000 (17%)]\tLoss: 0.003555, Accuracy: 100.00\n",
      "Train Epoch: 201 [10240/50000 (23%)]\tLoss: 0.003895, Accuracy: 100.00\n",
      "Train Epoch: 201 [12800/50000 (28%)]\tLoss: 0.004915, Accuracy: 100.00\n",
      "Train Epoch: 201 [15360/50000 (34%)]\tLoss: 0.003017, Accuracy: 100.00\n",
      "Train Epoch: 201 [17920/50000 (40%)]\tLoss: 0.005051, Accuracy: 100.00\n",
      "Train Epoch: 201 [20480/50000 (45%)]\tLoss: 0.003026, Accuracy: 100.00\n",
      "Train Epoch: 201 [23040/50000 (51%)]\tLoss: 0.008314, Accuracy: 99.80\n",
      "Train Epoch: 201 [25600/50000 (57%)]\tLoss: 0.004224, Accuracy: 99.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 201 [28160/50000 (62%)]\tLoss: 0.004631, Accuracy: 99.80\n",
      "Train Epoch: 201 [30720/50000 (68%)]\tLoss: 0.011169, Accuracy: 99.80\n",
      "Train Epoch: 201 [33280/50000 (74%)]\tLoss: 0.002847, Accuracy: 100.00\n",
      "Train Epoch: 201 [35840/50000 (80%)]\tLoss: 0.002481, Accuracy: 100.00\n",
      "Train Epoch: 201 [38400/50000 (85%)]\tLoss: 0.010452, Accuracy: 99.61\n",
      "Train Epoch: 201 [40960/50000 (91%)]\tLoss: 0.002446, Accuracy: 100.00\n",
      "Train Epoch: 201 [43520/50000 (97%)]\tLoss: 0.007332, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2968, Accuracy: 4667/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.859295129776 s]\n",
      "Train Epoch: 202 [0/50000 (0%)]\tLoss: 0.008339, Accuracy: 99.80\n",
      "Train Epoch: 202 [2560/50000 (6%)]\tLoss: 0.002548, Accuracy: 100.00\n",
      "Train Epoch: 202 [5120/50000 (11%)]\tLoss: 0.008366, Accuracy: 99.61\n",
      "Train Epoch: 202 [7680/50000 (17%)]\tLoss: 0.001497, Accuracy: 100.00\n",
      "Train Epoch: 202 [10240/50000 (23%)]\tLoss: 0.009592, Accuracy: 99.80\n",
      "Train Epoch: 202 [12800/50000 (28%)]\tLoss: 0.002839, Accuracy: 100.00\n",
      "Train Epoch: 202 [15360/50000 (34%)]\tLoss: 0.002902, Accuracy: 100.00\n",
      "Train Epoch: 202 [17920/50000 (40%)]\tLoss: 0.004507, Accuracy: 100.00\n",
      "Train Epoch: 202 [20480/50000 (45%)]\tLoss: 0.003368, Accuracy: 100.00\n",
      "Train Epoch: 202 [23040/50000 (51%)]\tLoss: 0.004105, Accuracy: 100.00\n",
      "Train Epoch: 202 [25600/50000 (57%)]\tLoss: 0.009060, Accuracy: 99.80\n",
      "Train Epoch: 202 [28160/50000 (62%)]\tLoss: 0.003450, Accuracy: 100.00\n",
      "Train Epoch: 202 [30720/50000 (68%)]\tLoss: 0.002652, Accuracy: 100.00\n",
      "Train Epoch: 202 [33280/50000 (74%)]\tLoss: 0.002228, Accuracy: 100.00\n",
      "Train Epoch: 202 [35840/50000 (80%)]\tLoss: 0.002896, Accuracy: 100.00\n",
      "Train Epoch: 202 [38400/50000 (85%)]\tLoss: 0.002186, Accuracy: 100.00\n",
      "Train Epoch: 202 [40960/50000 (91%)]\tLoss: 0.008701, Accuracy: 99.80\n",
      "Train Epoch: 202 [43520/50000 (97%)]\tLoss: 0.001912, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2937, Accuracy: 4673/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.98506736755371 s]\n",
      "Train Epoch: 203 [0/50000 (0%)]\tLoss: 0.004710, Accuracy: 99.80\n",
      "Train Epoch: 203 [2560/50000 (6%)]\tLoss: 0.004238, Accuracy: 100.00\n",
      "Train Epoch: 203 [5120/50000 (11%)]\tLoss: 0.001861, Accuracy: 100.00\n",
      "Train Epoch: 203 [7680/50000 (17%)]\tLoss: 0.002635, Accuracy: 100.00\n",
      "Train Epoch: 203 [10240/50000 (23%)]\tLoss: 0.003433, Accuracy: 100.00\n",
      "Train Epoch: 203 [12800/50000 (28%)]\tLoss: 0.003157, Accuracy: 100.00\n",
      "Train Epoch: 203 [15360/50000 (34%)]\tLoss: 0.001972, Accuracy: 100.00\n",
      "Train Epoch: 203 [17920/50000 (40%)]\tLoss: 0.004823, Accuracy: 99.80\n",
      "Train Epoch: 203 [20480/50000 (45%)]\tLoss: 0.003021, Accuracy: 100.00\n",
      "Train Epoch: 203 [23040/50000 (51%)]\tLoss: 0.001792, Accuracy: 100.00\n",
      "Train Epoch: 203 [25600/50000 (57%)]\tLoss: 0.002608, Accuracy: 100.00\n",
      "Train Epoch: 203 [28160/50000 (62%)]\tLoss: 0.006205, Accuracy: 99.80\n",
      "Train Epoch: 203 [30720/50000 (68%)]\tLoss: 0.002074, Accuracy: 100.00\n",
      "Train Epoch: 203 [33280/50000 (74%)]\tLoss: 0.003833, Accuracy: 100.00\n",
      "Train Epoch: 203 [35840/50000 (80%)]\tLoss: 0.002035, Accuracy: 100.00\n",
      "Train Epoch: 203 [38400/50000 (85%)]\tLoss: 0.004109, Accuracy: 99.80\n",
      "Train Epoch: 203 [40960/50000 (91%)]\tLoss: 0.003290, Accuracy: 100.00\n",
      "Train Epoch: 203 [43520/50000 (97%)]\tLoss: 0.002238, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2920, Accuracy: 4669/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.962396383285522 s]\n",
      "Train Epoch: 204 [0/50000 (0%)]\tLoss: 0.002159, Accuracy: 100.00\n",
      "Train Epoch: 204 [2560/50000 (6%)]\tLoss: 0.001992, Accuracy: 100.00\n",
      "Train Epoch: 204 [5120/50000 (11%)]\tLoss: 0.005842, Accuracy: 99.80\n",
      "Train Epoch: 204 [7680/50000 (17%)]\tLoss: 0.002962, Accuracy: 100.00\n",
      "Train Epoch: 204 [10240/50000 (23%)]\tLoss: 0.002672, Accuracy: 100.00\n",
      "Train Epoch: 204 [12800/50000 (28%)]\tLoss: 0.002084, Accuracy: 100.00\n",
      "Train Epoch: 204 [15360/50000 (34%)]\tLoss: 0.001665, Accuracy: 100.00\n",
      "Train Epoch: 204 [17920/50000 (40%)]\tLoss: 0.002685, Accuracy: 100.00\n",
      "Train Epoch: 204 [20480/50000 (45%)]\tLoss: 0.008024, Accuracy: 99.80\n",
      "Train Epoch: 204 [23040/50000 (51%)]\tLoss: 0.002641, Accuracy: 100.00\n",
      "Train Epoch: 204 [25600/50000 (57%)]\tLoss: 0.006223, Accuracy: 99.80\n",
      "Train Epoch: 204 [28160/50000 (62%)]\tLoss: 0.002602, Accuracy: 100.00\n",
      "Train Epoch: 204 [30720/50000 (68%)]\tLoss: 0.002061, Accuracy: 100.00\n",
      "Train Epoch: 204 [33280/50000 (74%)]\tLoss: 0.002147, Accuracy: 100.00\n",
      "Train Epoch: 204 [35840/50000 (80%)]\tLoss: 0.004285, Accuracy: 100.00\n",
      "Train Epoch: 204 [38400/50000 (85%)]\tLoss: 0.002790, Accuracy: 100.00\n",
      "Train Epoch: 204 [40960/50000 (91%)]\tLoss: 0.003353, Accuracy: 100.00\n",
      "Train Epoch: 204 [43520/50000 (97%)]\tLoss: 0.003359, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2933, Accuracy: 4670/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.977097272872925 s]\n",
      "Train Epoch: 205 [0/50000 (0%)]\tLoss: 0.003353, Accuracy: 100.00\n",
      "Train Epoch: 205 [2560/50000 (6%)]\tLoss: 0.001962, Accuracy: 100.00\n",
      "Train Epoch: 205 [5120/50000 (11%)]\tLoss: 0.004564, Accuracy: 99.80\n",
      "Train Epoch: 205 [7680/50000 (17%)]\tLoss: 0.001491, Accuracy: 100.00\n",
      "Train Epoch: 205 [10240/50000 (23%)]\tLoss: 0.003467, Accuracy: 100.00\n",
      "Train Epoch: 205 [12800/50000 (28%)]\tLoss: 0.002991, Accuracy: 100.00\n",
      "Train Epoch: 205 [15360/50000 (34%)]\tLoss: 0.003205, Accuracy: 100.00\n",
      "Train Epoch: 205 [17920/50000 (40%)]\tLoss: 0.002405, Accuracy: 100.00\n",
      "Train Epoch: 205 [20480/50000 (45%)]\tLoss: 0.001915, Accuracy: 100.00\n",
      "Train Epoch: 205 [23040/50000 (51%)]\tLoss: 0.003100, Accuracy: 100.00\n",
      "Train Epoch: 205 [25600/50000 (57%)]\tLoss: 0.005765, Accuracy: 99.80\n",
      "Train Epoch: 205 [28160/50000 (62%)]\tLoss: 0.005588, Accuracy: 99.80\n",
      "Train Epoch: 205 [30720/50000 (68%)]\tLoss: 0.002825, Accuracy: 100.00\n",
      "Train Epoch: 205 [33280/50000 (74%)]\tLoss: 0.001694, Accuracy: 100.00\n",
      "Train Epoch: 205 [35840/50000 (80%)]\tLoss: 0.002013, Accuracy: 100.00\n",
      "Train Epoch: 205 [38400/50000 (85%)]\tLoss: 0.002312, Accuracy: 100.00\n",
      "Train Epoch: 205 [40960/50000 (91%)]\tLoss: 0.001896, Accuracy: 100.00\n",
      "Train Epoch: 205 [43520/50000 (97%)]\tLoss: 0.002325, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2950, Accuracy: 4665/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01770615577698 s]\n",
      "Train Epoch: 206 [0/50000 (0%)]\tLoss: 0.004278, Accuracy: 99.80\n",
      "Train Epoch: 206 [2560/50000 (6%)]\tLoss: 0.001757, Accuracy: 100.00\n",
      "Train Epoch: 206 [5120/50000 (11%)]\tLoss: 0.002031, Accuracy: 100.00\n",
      "Train Epoch: 206 [7680/50000 (17%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 206 [10240/50000 (23%)]\tLoss: 0.003072, Accuracy: 100.00\n",
      "Train Epoch: 206 [12800/50000 (28%)]\tLoss: 0.003085, Accuracy: 100.00\n",
      "Train Epoch: 206 [15360/50000 (34%)]\tLoss: 0.006251, Accuracy: 99.80\n",
      "Train Epoch: 206 [17920/50000 (40%)]\tLoss: 0.003382, Accuracy: 100.00\n",
      "Train Epoch: 206 [20480/50000 (45%)]\tLoss: 0.002736, Accuracy: 100.00\n",
      "Train Epoch: 206 [23040/50000 (51%)]\tLoss: 0.003968, Accuracy: 99.80\n",
      "Train Epoch: 206 [25600/50000 (57%)]\tLoss: 0.002252, Accuracy: 100.00\n",
      "Train Epoch: 206 [28160/50000 (62%)]\tLoss: 0.002711, Accuracy: 100.00\n",
      "Train Epoch: 206 [30720/50000 (68%)]\tLoss: 0.003211, Accuracy: 99.80\n",
      "Train Epoch: 206 [33280/50000 (74%)]\tLoss: 0.001913, Accuracy: 100.00\n",
      "Train Epoch: 206 [35840/50000 (80%)]\tLoss: 0.002215, Accuracy: 100.00\n",
      "Train Epoch: 206 [38400/50000 (85%)]\tLoss: 0.003369, Accuracy: 100.00\n",
      "Train Epoch: 206 [40960/50000 (91%)]\tLoss: 0.001982, Accuracy: 100.00\n",
      "Train Epoch: 206 [43520/50000 (97%)]\tLoss: 0.002310, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2928, Accuracy: 4666/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.959006547927856 s]\n",
      "Train Epoch: 207 [0/50000 (0%)]\tLoss: 0.003203, Accuracy: 100.00\n",
      "Train Epoch: 207 [2560/50000 (6%)]\tLoss: 0.002528, Accuracy: 100.00\n",
      "Train Epoch: 207 [5120/50000 (11%)]\tLoss: 0.004769, Accuracy: 99.80\n",
      "Train Epoch: 207 [7680/50000 (17%)]\tLoss: 0.002175, Accuracy: 100.00\n",
      "Train Epoch: 207 [10240/50000 (23%)]\tLoss: 0.006836, Accuracy: 99.80\n",
      "Train Epoch: 207 [12800/50000 (28%)]\tLoss: 0.002430, Accuracy: 100.00\n",
      "Train Epoch: 207 [15360/50000 (34%)]\tLoss: 0.002591, Accuracy: 100.00\n",
      "Train Epoch: 207 [17920/50000 (40%)]\tLoss: 0.005636, Accuracy: 99.80\n",
      "Train Epoch: 207 [20480/50000 (45%)]\tLoss: 0.003350, Accuracy: 100.00\n",
      "Train Epoch: 207 [23040/50000 (51%)]\tLoss: 0.001838, Accuracy: 100.00\n",
      "Train Epoch: 207 [25600/50000 (57%)]\tLoss: 0.002111, Accuracy: 100.00\n",
      "Train Epoch: 207 [28160/50000 (62%)]\tLoss: 0.002835, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 207 [30720/50000 (68%)]\tLoss: 0.001950, Accuracy: 100.00\n",
      "Train Epoch: 207 [33280/50000 (74%)]\tLoss: 0.001808, Accuracy: 100.00\n",
      "Train Epoch: 207 [35840/50000 (80%)]\tLoss: 0.001959, Accuracy: 100.00\n",
      "Train Epoch: 207 [38400/50000 (85%)]\tLoss: 0.001750, Accuracy: 100.00\n",
      "Train Epoch: 207 [40960/50000 (91%)]\tLoss: 0.001996, Accuracy: 100.00\n",
      "Train Epoch: 207 [43520/50000 (97%)]\tLoss: 0.003075, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2921, Accuracy: 4668/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96945285797119 s]\n",
      "Train Epoch: 208 [0/50000 (0%)]\tLoss: 0.001737, Accuracy: 100.00\n",
      "Train Epoch: 208 [2560/50000 (6%)]\tLoss: 0.001975, Accuracy: 100.00\n",
      "Train Epoch: 208 [5120/50000 (11%)]\tLoss: 0.002567, Accuracy: 100.00\n",
      "Train Epoch: 208 [7680/50000 (17%)]\tLoss: 0.001691, Accuracy: 100.00\n",
      "Train Epoch: 208 [10240/50000 (23%)]\tLoss: 0.001591, Accuracy: 100.00\n",
      "Train Epoch: 208 [12800/50000 (28%)]\tLoss: 0.002364, Accuracy: 100.00\n",
      "Train Epoch: 208 [15360/50000 (34%)]\tLoss: 0.002244, Accuracy: 100.00\n",
      "Train Epoch: 208 [17920/50000 (40%)]\tLoss: 0.009494, Accuracy: 99.61\n",
      "Train Epoch: 208 [20480/50000 (45%)]\tLoss: 0.002986, Accuracy: 100.00\n",
      "Train Epoch: 208 [23040/50000 (51%)]\tLoss: 0.002454, Accuracy: 100.00\n",
      "Train Epoch: 208 [25600/50000 (57%)]\tLoss: 0.002300, Accuracy: 100.00\n",
      "Train Epoch: 208 [28160/50000 (62%)]\tLoss: 0.004814, Accuracy: 99.80\n",
      "Train Epoch: 208 [30720/50000 (68%)]\tLoss: 0.002579, Accuracy: 100.00\n",
      "Train Epoch: 208 [33280/50000 (74%)]\tLoss: 0.002187, Accuracy: 100.00\n",
      "Train Epoch: 208 [35840/50000 (80%)]\tLoss: 0.005276, Accuracy: 99.80\n",
      "Train Epoch: 208 [38400/50000 (85%)]\tLoss: 0.002128, Accuracy: 100.00\n",
      "Train Epoch: 208 [40960/50000 (91%)]\tLoss: 0.002182, Accuracy: 100.00\n",
      "Train Epoch: 208 [43520/50000 (97%)]\tLoss: 0.001743, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2920, Accuracy: 4667/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00552320480347 s]\n",
      "Train Epoch: 209 [0/50000 (0%)]\tLoss: 0.001984, Accuracy: 100.00\n",
      "Train Epoch: 209 [2560/50000 (6%)]\tLoss: 0.002631, Accuracy: 100.00\n",
      "Train Epoch: 209 [5120/50000 (11%)]\tLoss: 0.002209, Accuracy: 100.00\n",
      "Train Epoch: 209 [7680/50000 (17%)]\tLoss: 0.002002, Accuracy: 100.00\n",
      "Train Epoch: 209 [10240/50000 (23%)]\tLoss: 0.002119, Accuracy: 100.00\n",
      "Train Epoch: 209 [12800/50000 (28%)]\tLoss: 0.002236, Accuracy: 100.00\n",
      "Train Epoch: 209 [15360/50000 (34%)]\tLoss: 0.002841, Accuracy: 100.00\n",
      "Train Epoch: 209 [17920/50000 (40%)]\tLoss: 0.004756, Accuracy: 99.80\n",
      "Train Epoch: 209 [20480/50000 (45%)]\tLoss: 0.001821, Accuracy: 100.00\n",
      "Train Epoch: 209 [23040/50000 (51%)]\tLoss: 0.002343, Accuracy: 100.00\n",
      "Train Epoch: 209 [25600/50000 (57%)]\tLoss: 0.001937, Accuracy: 100.00\n",
      "Train Epoch: 209 [28160/50000 (62%)]\tLoss: 0.001941, Accuracy: 100.00\n",
      "Train Epoch: 209 [30720/50000 (68%)]\tLoss: 0.001973, Accuracy: 100.00\n",
      "Train Epoch: 209 [33280/50000 (74%)]\tLoss: 0.002973, Accuracy: 100.00\n",
      "Train Epoch: 209 [35840/50000 (80%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 209 [38400/50000 (85%)]\tLoss: 0.002702, Accuracy: 100.00\n",
      "Train Epoch: 209 [40960/50000 (91%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 209 [43520/50000 (97%)]\tLoss: 0.001362, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2916, Accuracy: 4672/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.960474014282227 s]\n",
      "Train Epoch: 210 [0/50000 (0%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "Train Epoch: 210 [2560/50000 (6%)]\tLoss: 0.001992, Accuracy: 100.00\n",
      "Train Epoch: 210 [5120/50000 (11%)]\tLoss: 0.001950, Accuracy: 100.00\n",
      "Train Epoch: 210 [7680/50000 (17%)]\tLoss: 0.001956, Accuracy: 100.00\n",
      "Train Epoch: 210 [10240/50000 (23%)]\tLoss: 0.002252, Accuracy: 100.00\n",
      "Train Epoch: 210 [12800/50000 (28%)]\tLoss: 0.002166, Accuracy: 100.00\n",
      "Train Epoch: 210 [15360/50000 (34%)]\tLoss: 0.003185, Accuracy: 100.00\n",
      "Train Epoch: 210 [17920/50000 (40%)]\tLoss: 0.005344, Accuracy: 99.80\n",
      "Train Epoch: 210 [20480/50000 (45%)]\tLoss: 0.003001, Accuracy: 100.00\n",
      "Train Epoch: 210 [23040/50000 (51%)]\tLoss: 0.001557, Accuracy: 100.00\n",
      "Train Epoch: 210 [25600/50000 (57%)]\tLoss: 0.002574, Accuracy: 100.00\n",
      "Train Epoch: 210 [28160/50000 (62%)]\tLoss: 0.001315, Accuracy: 100.00\n",
      "Train Epoch: 210 [30720/50000 (68%)]\tLoss: 0.002045, Accuracy: 100.00\n",
      "Train Epoch: 210 [33280/50000 (74%)]\tLoss: 0.002248, Accuracy: 100.00\n",
      "Train Epoch: 210 [35840/50000 (80%)]\tLoss: 0.003743, Accuracy: 99.80\n",
      "Train Epoch: 210 [38400/50000 (85%)]\tLoss: 0.002633, Accuracy: 100.00\n",
      "Train Epoch: 210 [40960/50000 (91%)]\tLoss: 0.002903, Accuracy: 100.00\n",
      "Train Epoch: 210 [43520/50000 (97%)]\tLoss: 0.002071, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2902, Accuracy: 4668/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96004867553711 s]\n",
      "\n",
      "Test set: Average loss: 0.3242, Accuracy: 9309/10000 (93.09%)\n",
      "\n",
      "Train Epoch: 211 [0/50000 (0%)]\tLoss: 0.003298, Accuracy: 100.00\n",
      "Train Epoch: 211 [2560/50000 (6%)]\tLoss: 0.009650, Accuracy: 99.61\n",
      "Train Epoch: 211 [5120/50000 (11%)]\tLoss: 0.004049, Accuracy: 99.80\n",
      "Train Epoch: 211 [7680/50000 (17%)]\tLoss: 0.001487, Accuracy: 100.00\n",
      "Train Epoch: 211 [10240/50000 (23%)]\tLoss: 0.002207, Accuracy: 100.00\n",
      "Train Epoch: 211 [12800/50000 (28%)]\tLoss: 0.002987, Accuracy: 100.00\n",
      "Train Epoch: 211 [15360/50000 (34%)]\tLoss: 0.011866, Accuracy: 99.61\n",
      "Train Epoch: 211 [17920/50000 (40%)]\tLoss: 0.003020, Accuracy: 99.80\n",
      "Train Epoch: 211 [20480/50000 (45%)]\tLoss: 0.002667, Accuracy: 100.00\n",
      "Train Epoch: 211 [23040/50000 (51%)]\tLoss: 0.002086, Accuracy: 100.00\n",
      "Train Epoch: 211 [25600/50000 (57%)]\tLoss: 0.002536, Accuracy: 100.00\n",
      "Train Epoch: 211 [28160/50000 (62%)]\tLoss: 0.002397, Accuracy: 100.00\n",
      "Train Epoch: 211 [30720/50000 (68%)]\tLoss: 0.001973, Accuracy: 100.00\n",
      "Train Epoch: 211 [33280/50000 (74%)]\tLoss: 0.002195, Accuracy: 100.00\n",
      "Train Epoch: 211 [35840/50000 (80%)]\tLoss: 0.002238, Accuracy: 100.00\n",
      "Train Epoch: 211 [38400/50000 (85%)]\tLoss: 0.002547, Accuracy: 100.00\n",
      "Train Epoch: 211 [40960/50000 (91%)]\tLoss: 0.003955, Accuracy: 100.00\n",
      "Train Epoch: 211 [43520/50000 (97%)]\tLoss: 0.002095, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2889, Accuracy: 4676/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.78941464424133 s]\n",
      "Train Epoch: 212 [0/50000 (0%)]\tLoss: 0.008057, Accuracy: 99.80\n",
      "Train Epoch: 212 [2560/50000 (6%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "Train Epoch: 212 [5120/50000 (11%)]\tLoss: 0.001824, Accuracy: 100.00\n",
      "Train Epoch: 212 [7680/50000 (17%)]\tLoss: 0.001850, Accuracy: 100.00\n",
      "Train Epoch: 212 [10240/50000 (23%)]\tLoss: 0.002805, Accuracy: 100.00\n",
      "Train Epoch: 212 [12800/50000 (28%)]\tLoss: 0.002009, Accuracy: 100.00\n",
      "Train Epoch: 212 [15360/50000 (34%)]\tLoss: 0.002298, Accuracy: 100.00\n",
      "Train Epoch: 212 [17920/50000 (40%)]\tLoss: 0.002684, Accuracy: 100.00\n",
      "Train Epoch: 212 [20480/50000 (45%)]\tLoss: 0.001972, Accuracy: 100.00\n",
      "Train Epoch: 212 [23040/50000 (51%)]\tLoss: 0.001870, Accuracy: 100.00\n",
      "Train Epoch: 212 [25600/50000 (57%)]\tLoss: 0.001925, Accuracy: 100.00\n",
      "Train Epoch: 212 [28160/50000 (62%)]\tLoss: 0.002087, Accuracy: 100.00\n",
      "Train Epoch: 212 [30720/50000 (68%)]\tLoss: 0.001939, Accuracy: 100.00\n",
      "Train Epoch: 212 [33280/50000 (74%)]\tLoss: 0.002942, Accuracy: 100.00\n",
      "Train Epoch: 212 [35840/50000 (80%)]\tLoss: 0.005788, Accuracy: 99.80\n",
      "Train Epoch: 212 [38400/50000 (85%)]\tLoss: 0.002499, Accuracy: 100.00\n",
      "Train Epoch: 212 [40960/50000 (91%)]\tLoss: 0.005809, Accuracy: 99.80\n",
      "Train Epoch: 212 [43520/50000 (97%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2890, Accuracy: 4676/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.999898433685303 s]\n",
      "Train Epoch: 213 [0/50000 (0%)]\tLoss: 0.002158, Accuracy: 100.00\n",
      "Train Epoch: 213 [2560/50000 (6%)]\tLoss: 0.002114, Accuracy: 100.00\n",
      "Train Epoch: 213 [5120/50000 (11%)]\tLoss: 0.001686, Accuracy: 100.00\n",
      "Train Epoch: 213 [7680/50000 (17%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "Train Epoch: 213 [10240/50000 (23%)]\tLoss: 0.002132, Accuracy: 100.00\n",
      "Train Epoch: 213 [12800/50000 (28%)]\tLoss: 0.003270, Accuracy: 100.00\n",
      "Train Epoch: 213 [15360/50000 (34%)]\tLoss: 0.001848, Accuracy: 100.00\n",
      "Train Epoch: 213 [17920/50000 (40%)]\tLoss: 0.002384, Accuracy: 100.00\n",
      "Train Epoch: 213 [20480/50000 (45%)]\tLoss: 0.005598, Accuracy: 99.80\n",
      "Train Epoch: 213 [23040/50000 (51%)]\tLoss: 0.004924, Accuracy: 100.00\n",
      "Train Epoch: 213 [25600/50000 (57%)]\tLoss: 0.002753, Accuracy: 100.00\n",
      "Train Epoch: 213 [28160/50000 (62%)]\tLoss: 0.002796, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 213 [30720/50000 (68%)]\tLoss: 0.001586, Accuracy: 100.00\n",
      "Train Epoch: 213 [33280/50000 (74%)]\tLoss: 0.002929, Accuracy: 100.00\n",
      "Train Epoch: 213 [35840/50000 (80%)]\tLoss: 0.001942, Accuracy: 100.00\n",
      "Train Epoch: 213 [38400/50000 (85%)]\tLoss: 0.002020, Accuracy: 100.00\n",
      "Train Epoch: 213 [40960/50000 (91%)]\tLoss: 0.003246, Accuracy: 100.00\n",
      "Train Epoch: 213 [43520/50000 (97%)]\tLoss: 0.005557, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2902, Accuracy: 4675/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.961261510849 s]\n",
      "Train Epoch: 214 [0/50000 (0%)]\tLoss: 0.008141, Accuracy: 99.80\n",
      "Train Epoch: 214 [2560/50000 (6%)]\tLoss: 0.001895, Accuracy: 100.00\n",
      "Train Epoch: 214 [5120/50000 (11%)]\tLoss: 0.001567, Accuracy: 100.00\n",
      "Train Epoch: 214 [7680/50000 (17%)]\tLoss: 0.002256, Accuracy: 100.00\n",
      "Train Epoch: 214 [10240/50000 (23%)]\tLoss: 0.004035, Accuracy: 100.00\n",
      "Train Epoch: 214 [12800/50000 (28%)]\tLoss: 0.001662, Accuracy: 100.00\n",
      "Train Epoch: 214 [15360/50000 (34%)]\tLoss: 0.006005, Accuracy: 99.80\n",
      "Train Epoch: 214 [17920/50000 (40%)]\tLoss: 0.002108, Accuracy: 100.00\n",
      "Train Epoch: 214 [20480/50000 (45%)]\tLoss: 0.002595, Accuracy: 100.00\n",
      "Train Epoch: 214 [23040/50000 (51%)]\tLoss: 0.001674, Accuracy: 100.00\n",
      "Train Epoch: 214 [25600/50000 (57%)]\tLoss: 0.004195, Accuracy: 100.00\n",
      "Train Epoch: 214 [28160/50000 (62%)]\tLoss: 0.002253, Accuracy: 100.00\n",
      "Train Epoch: 214 [30720/50000 (68%)]\tLoss: 0.001851, Accuracy: 100.00\n",
      "Train Epoch: 214 [33280/50000 (74%)]\tLoss: 0.001415, Accuracy: 100.00\n",
      "Train Epoch: 214 [35840/50000 (80%)]\tLoss: 0.001404, Accuracy: 100.00\n",
      "Train Epoch: 214 [38400/50000 (85%)]\tLoss: 0.001826, Accuracy: 100.00\n",
      "Train Epoch: 214 [40960/50000 (91%)]\tLoss: 0.004560, Accuracy: 99.80\n",
      "Train Epoch: 214 [43520/50000 (97%)]\tLoss: 0.002847, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2895, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.985629081726074 s]\n",
      "Train Epoch: 215 [0/50000 (0%)]\tLoss: 0.003035, Accuracy: 100.00\n",
      "Train Epoch: 215 [2560/50000 (6%)]\tLoss: 0.002350, Accuracy: 100.00\n",
      "Train Epoch: 215 [5120/50000 (11%)]\tLoss: 0.001844, Accuracy: 100.00\n",
      "Train Epoch: 215 [7680/50000 (17%)]\tLoss: 0.002613, Accuracy: 100.00\n",
      "Train Epoch: 215 [10240/50000 (23%)]\tLoss: 0.005792, Accuracy: 99.80\n",
      "Train Epoch: 215 [12800/50000 (28%)]\tLoss: 0.001491, Accuracy: 100.00\n",
      "Train Epoch: 215 [15360/50000 (34%)]\tLoss: 0.001785, Accuracy: 100.00\n",
      "Train Epoch: 215 [17920/50000 (40%)]\tLoss: 0.001445, Accuracy: 100.00\n",
      "Train Epoch: 215 [20480/50000 (45%)]\tLoss: 0.001828, Accuracy: 100.00\n",
      "Train Epoch: 215 [23040/50000 (51%)]\tLoss: 0.003153, Accuracy: 100.00\n",
      "Train Epoch: 215 [25600/50000 (57%)]\tLoss: 0.002617, Accuracy: 100.00\n",
      "Train Epoch: 215 [28160/50000 (62%)]\tLoss: 0.002251, Accuracy: 100.00\n",
      "Train Epoch: 215 [30720/50000 (68%)]\tLoss: 0.004361, Accuracy: 100.00\n",
      "Train Epoch: 215 [33280/50000 (74%)]\tLoss: 0.001836, Accuracy: 100.00\n",
      "Train Epoch: 215 [35840/50000 (80%)]\tLoss: 0.001522, Accuracy: 100.00\n",
      "Train Epoch: 215 [38400/50000 (85%)]\tLoss: 0.003937, Accuracy: 100.00\n",
      "Train Epoch: 215 [40960/50000 (91%)]\tLoss: 0.002227, Accuracy: 100.00\n",
      "Train Epoch: 215 [43520/50000 (97%)]\tLoss: 0.001622, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2916, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.04706597328186 s]\n",
      "Train Epoch: 216 [0/50000 (0%)]\tLoss: 0.001440, Accuracy: 100.00\n",
      "Train Epoch: 216 [2560/50000 (6%)]\tLoss: 0.002601, Accuracy: 100.00\n",
      "Train Epoch: 216 [5120/50000 (11%)]\tLoss: 0.001928, Accuracy: 100.00\n",
      "Train Epoch: 216 [7680/50000 (17%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 216 [10240/50000 (23%)]\tLoss: 0.001717, Accuracy: 100.00\n",
      "Train Epoch: 216 [12800/50000 (28%)]\tLoss: 0.001527, Accuracy: 100.00\n",
      "Train Epoch: 216 [15360/50000 (34%)]\tLoss: 0.003240, Accuracy: 100.00\n",
      "Train Epoch: 216 [17920/50000 (40%)]\tLoss: 0.003709, Accuracy: 99.80\n",
      "Train Epoch: 216 [20480/50000 (45%)]\tLoss: 0.002221, Accuracy: 100.00\n",
      "Train Epoch: 216 [23040/50000 (51%)]\tLoss: 0.002552, Accuracy: 100.00\n",
      "Train Epoch: 216 [25600/50000 (57%)]\tLoss: 0.002281, Accuracy: 100.00\n",
      "Train Epoch: 216 [28160/50000 (62%)]\tLoss: 0.002225, Accuracy: 100.00\n",
      "Train Epoch: 216 [30720/50000 (68%)]\tLoss: 0.006206, Accuracy: 99.80\n",
      "Train Epoch: 216 [33280/50000 (74%)]\tLoss: 0.005073, Accuracy: 99.80\n",
      "Train Epoch: 216 [35840/50000 (80%)]\tLoss: 0.001839, Accuracy: 100.00\n",
      "Train Epoch: 216 [38400/50000 (85%)]\tLoss: 0.001913, Accuracy: 100.00\n",
      "Train Epoch: 216 [40960/50000 (91%)]\tLoss: 0.003022, Accuracy: 100.00\n",
      "Train Epoch: 216 [43520/50000 (97%)]\tLoss: 0.003427, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2914, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.08857798576355 s]\n",
      "Train Epoch: 217 [0/50000 (0%)]\tLoss: 0.002482, Accuracy: 100.00\n",
      "Train Epoch: 217 [2560/50000 (6%)]\tLoss: 0.002164, Accuracy: 100.00\n",
      "Train Epoch: 217 [5120/50000 (11%)]\tLoss: 0.002074, Accuracy: 100.00\n",
      "Train Epoch: 217 [7680/50000 (17%)]\tLoss: 0.001643, Accuracy: 100.00\n",
      "Train Epoch: 217 [10240/50000 (23%)]\tLoss: 0.001663, Accuracy: 100.00\n",
      "Train Epoch: 217 [12800/50000 (28%)]\tLoss: 0.002329, Accuracy: 100.00\n",
      "Train Epoch: 217 [15360/50000 (34%)]\tLoss: 0.001766, Accuracy: 100.00\n",
      "Train Epoch: 217 [17920/50000 (40%)]\tLoss: 0.002050, Accuracy: 100.00\n",
      "Train Epoch: 217 [20480/50000 (45%)]\tLoss: 0.004677, Accuracy: 100.00\n",
      "Train Epoch: 217 [23040/50000 (51%)]\tLoss: 0.002546, Accuracy: 100.00\n",
      "Train Epoch: 217 [25600/50000 (57%)]\tLoss: 0.001725, Accuracy: 100.00\n",
      "Train Epoch: 217 [28160/50000 (62%)]\tLoss: 0.002572, Accuracy: 100.00\n",
      "Train Epoch: 217 [30720/50000 (68%)]\tLoss: 0.001445, Accuracy: 100.00\n",
      "Train Epoch: 217 [33280/50000 (74%)]\tLoss: 0.003549, Accuracy: 100.00\n",
      "Train Epoch: 217 [35840/50000 (80%)]\tLoss: 0.005325, Accuracy: 99.80\n",
      "Train Epoch: 217 [38400/50000 (85%)]\tLoss: 0.001996, Accuracy: 100.00\n",
      "Train Epoch: 217 [40960/50000 (91%)]\tLoss: 0.002031, Accuracy: 100.00\n",
      "Train Epoch: 217 [43520/50000 (97%)]\tLoss: 0.005645, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2906, Accuracy: 4676/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.980233669281006 s]\n",
      "Train Epoch: 218 [0/50000 (0%)]\tLoss: 0.001914, Accuracy: 100.00\n",
      "Train Epoch: 218 [2560/50000 (6%)]\tLoss: 0.002710, Accuracy: 100.00\n",
      "Train Epoch: 218 [5120/50000 (11%)]\tLoss: 0.002672, Accuracy: 100.00\n",
      "Train Epoch: 218 [7680/50000 (17%)]\tLoss: 0.005397, Accuracy: 99.80\n",
      "Train Epoch: 218 [10240/50000 (23%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 218 [12800/50000 (28%)]\tLoss: 0.001409, Accuracy: 100.00\n",
      "Train Epoch: 218 [15360/50000 (34%)]\tLoss: 0.002367, Accuracy: 100.00\n",
      "Train Epoch: 218 [17920/50000 (40%)]\tLoss: 0.002237, Accuracy: 100.00\n",
      "Train Epoch: 218 [20480/50000 (45%)]\tLoss: 0.001566, Accuracy: 100.00\n",
      "Train Epoch: 218 [23040/50000 (51%)]\tLoss: 0.001907, Accuracy: 100.00\n",
      "Train Epoch: 218 [25600/50000 (57%)]\tLoss: 0.002409, Accuracy: 100.00\n",
      "Train Epoch: 218 [28160/50000 (62%)]\tLoss: 0.001704, Accuracy: 100.00\n",
      "Train Epoch: 218 [30720/50000 (68%)]\tLoss: 0.001606, Accuracy: 100.00\n",
      "Train Epoch: 218 [33280/50000 (74%)]\tLoss: 0.002027, Accuracy: 100.00\n",
      "Train Epoch: 218 [35840/50000 (80%)]\tLoss: 0.002250, Accuracy: 100.00\n",
      "Train Epoch: 218 [38400/50000 (85%)]\tLoss: 0.001529, Accuracy: 100.00\n",
      "Train Epoch: 218 [40960/50000 (91%)]\tLoss: 0.003222, Accuracy: 100.00\n",
      "Train Epoch: 218 [43520/50000 (97%)]\tLoss: 0.004270, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2900, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.962334394454956 s]\n",
      "Train Epoch: 219 [0/50000 (0%)]\tLoss: 0.002030, Accuracy: 100.00\n",
      "Train Epoch: 219 [2560/50000 (6%)]\tLoss: 0.001556, Accuracy: 100.00\n",
      "Train Epoch: 219 [5120/50000 (11%)]\tLoss: 0.002945, Accuracy: 100.00\n",
      "Train Epoch: 219 [7680/50000 (17%)]\tLoss: 0.002341, Accuracy: 100.00\n",
      "Train Epoch: 219 [10240/50000 (23%)]\tLoss: 0.001968, Accuracy: 100.00\n",
      "Train Epoch: 219 [12800/50000 (28%)]\tLoss: 0.002171, Accuracy: 100.00\n",
      "Train Epoch: 219 [15360/50000 (34%)]\tLoss: 0.001995, Accuracy: 100.00\n",
      "Train Epoch: 219 [17920/50000 (40%)]\tLoss: 0.002226, Accuracy: 100.00\n",
      "Train Epoch: 219 [20480/50000 (45%)]\tLoss: 0.001787, Accuracy: 100.00\n",
      "Train Epoch: 219 [23040/50000 (51%)]\tLoss: 0.003656, Accuracy: 100.00\n",
      "Train Epoch: 219 [25600/50000 (57%)]\tLoss: 0.002106, Accuracy: 100.00\n",
      "Train Epoch: 219 [28160/50000 (62%)]\tLoss: 0.003184, Accuracy: 100.00\n",
      "Train Epoch: 219 [30720/50000 (68%)]\tLoss: 0.001899, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 219 [33280/50000 (74%)]\tLoss: 0.001791, Accuracy: 100.00\n",
      "Train Epoch: 219 [35840/50000 (80%)]\tLoss: 0.002634, Accuracy: 100.00\n",
      "Train Epoch: 219 [38400/50000 (85%)]\tLoss: 0.002225, Accuracy: 100.00\n",
      "Train Epoch: 219 [40960/50000 (91%)]\tLoss: 0.004448, Accuracy: 99.80\n",
      "Train Epoch: 219 [43520/50000 (97%)]\tLoss: 0.002973, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2935, Accuracy: 4671/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.003581523895264 s]\n",
      "Train Epoch: 220 [0/50000 (0%)]\tLoss: 0.002800, Accuracy: 100.00\n",
      "Train Epoch: 220 [2560/50000 (6%)]\tLoss: 0.002348, Accuracy: 100.00\n",
      "Train Epoch: 220 [5120/50000 (11%)]\tLoss: 0.001445, Accuracy: 100.00\n",
      "Train Epoch: 220 [7680/50000 (17%)]\tLoss: 0.002437, Accuracy: 100.00\n",
      "Train Epoch: 220 [10240/50000 (23%)]\tLoss: 0.002234, Accuracy: 100.00\n",
      "Train Epoch: 220 [12800/50000 (28%)]\tLoss: 0.001845, Accuracy: 100.00\n",
      "Train Epoch: 220 [15360/50000 (34%)]\tLoss: 0.001719, Accuracy: 100.00\n",
      "Train Epoch: 220 [17920/50000 (40%)]\tLoss: 0.002157, Accuracy: 100.00\n",
      "Train Epoch: 220 [20480/50000 (45%)]\tLoss: 0.002235, Accuracy: 100.00\n",
      "Train Epoch: 220 [23040/50000 (51%)]\tLoss: 0.002731, Accuracy: 100.00\n",
      "Train Epoch: 220 [25600/50000 (57%)]\tLoss: 0.002659, Accuracy: 100.00\n",
      "Train Epoch: 220 [28160/50000 (62%)]\tLoss: 0.001402, Accuracy: 100.00\n",
      "Train Epoch: 220 [30720/50000 (68%)]\tLoss: 0.001817, Accuracy: 100.00\n",
      "Train Epoch: 220 [33280/50000 (74%)]\tLoss: 0.001489, Accuracy: 100.00\n",
      "Train Epoch: 220 [35840/50000 (80%)]\tLoss: 0.001842, Accuracy: 100.00\n",
      "Train Epoch: 220 [38400/50000 (85%)]\tLoss: 0.003063, Accuracy: 100.00\n",
      "Train Epoch: 220 [40960/50000 (91%)]\tLoss: 0.001643, Accuracy: 100.00\n",
      "Train Epoch: 220 [43520/50000 (97%)]\tLoss: 0.002984, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2873, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96536159515381 s]\n",
      "\n",
      "Test set: Average loss: 0.3243, Accuracy: 9306/10000 (93.06%)\n",
      "\n",
      "Train Epoch: 221 [0/50000 (0%)]\tLoss: 0.002868, Accuracy: 100.00\n",
      "Train Epoch: 221 [2560/50000 (6%)]\tLoss: 0.003646, Accuracy: 100.00\n",
      "Train Epoch: 221 [5120/50000 (11%)]\tLoss: 0.004425, Accuracy: 99.80\n",
      "Train Epoch: 221 [7680/50000 (17%)]\tLoss: 0.005337, Accuracy: 99.80\n",
      "Train Epoch: 221 [10240/50000 (23%)]\tLoss: 0.001687, Accuracy: 100.00\n",
      "Train Epoch: 221 [12800/50000 (28%)]\tLoss: 0.001908, Accuracy: 100.00\n",
      "Train Epoch: 221 [15360/50000 (34%)]\tLoss: 0.001996, Accuracy: 100.00\n",
      "Train Epoch: 221 [17920/50000 (40%)]\tLoss: 0.003503, Accuracy: 99.80\n",
      "Train Epoch: 221 [20480/50000 (45%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "Train Epoch: 221 [23040/50000 (51%)]\tLoss: 0.001679, Accuracy: 100.00\n",
      "Train Epoch: 221 [25600/50000 (57%)]\tLoss: 0.004024, Accuracy: 99.80\n",
      "Train Epoch: 221 [28160/50000 (62%)]\tLoss: 0.002320, Accuracy: 100.00\n",
      "Train Epoch: 221 [30720/50000 (68%)]\tLoss: 0.001888, Accuracy: 100.00\n",
      "Train Epoch: 221 [33280/50000 (74%)]\tLoss: 0.001555, Accuracy: 100.00\n",
      "Train Epoch: 221 [35840/50000 (80%)]\tLoss: 0.005315, Accuracy: 99.80\n",
      "Train Epoch: 221 [38400/50000 (85%)]\tLoss: 0.001771, Accuracy: 100.00\n",
      "Train Epoch: 221 [40960/50000 (91%)]\tLoss: 0.002024, Accuracy: 100.00\n",
      "Train Epoch: 221 [43520/50000 (97%)]\tLoss: 0.001709, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2916, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.81118893623352 s]\n",
      "Train Epoch: 222 [0/50000 (0%)]\tLoss: 0.001649, Accuracy: 100.00\n",
      "Train Epoch: 222 [2560/50000 (6%)]\tLoss: 0.001502, Accuracy: 100.00\n",
      "Train Epoch: 222 [5120/50000 (11%)]\tLoss: 0.002581, Accuracy: 100.00\n",
      "Train Epoch: 222 [7680/50000 (17%)]\tLoss: 0.001567, Accuracy: 100.00\n",
      "Train Epoch: 222 [10240/50000 (23%)]\tLoss: 0.001969, Accuracy: 100.00\n",
      "Train Epoch: 222 [12800/50000 (28%)]\tLoss: 0.002929, Accuracy: 100.00\n",
      "Train Epoch: 222 [15360/50000 (34%)]\tLoss: 0.004193, Accuracy: 99.80\n",
      "Train Epoch: 222 [17920/50000 (40%)]\tLoss: 0.001553, Accuracy: 100.00\n",
      "Train Epoch: 222 [20480/50000 (45%)]\tLoss: 0.002062, Accuracy: 100.00\n",
      "Train Epoch: 222 [23040/50000 (51%)]\tLoss: 0.001847, Accuracy: 100.00\n",
      "Train Epoch: 222 [25600/50000 (57%)]\tLoss: 0.002007, Accuracy: 100.00\n",
      "Train Epoch: 222 [28160/50000 (62%)]\tLoss: 0.001971, Accuracy: 100.00\n",
      "Train Epoch: 222 [30720/50000 (68%)]\tLoss: 0.001780, Accuracy: 100.00\n",
      "Train Epoch: 222 [33280/50000 (74%)]\tLoss: 0.001688, Accuracy: 100.00\n",
      "Train Epoch: 222 [35840/50000 (80%)]\tLoss: 0.002506, Accuracy: 100.00\n",
      "Train Epoch: 222 [38400/50000 (85%)]\tLoss: 0.003243, Accuracy: 100.00\n",
      "Train Epoch: 222 [40960/50000 (91%)]\tLoss: 0.001945, Accuracy: 100.00\n",
      "Train Epoch: 222 [43520/50000 (97%)]\tLoss: 0.001853, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2919, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.963282108306885 s]\n",
      "Train Epoch: 223 [0/50000 (0%)]\tLoss: 0.001566, Accuracy: 100.00\n",
      "Train Epoch: 223 [2560/50000 (6%)]\tLoss: 0.001335, Accuracy: 100.00\n",
      "Train Epoch: 223 [5120/50000 (11%)]\tLoss: 0.003541, Accuracy: 100.00\n",
      "Train Epoch: 223 [7680/50000 (17%)]\tLoss: 0.001829, Accuracy: 100.00\n",
      "Train Epoch: 223 [10240/50000 (23%)]\tLoss: 0.003198, Accuracy: 99.80\n",
      "Train Epoch: 223 [12800/50000 (28%)]\tLoss: 0.001584, Accuracy: 100.00\n",
      "Train Epoch: 223 [15360/50000 (34%)]\tLoss: 0.002020, Accuracy: 100.00\n",
      "Train Epoch: 223 [17920/50000 (40%)]\tLoss: 0.001726, Accuracy: 100.00\n",
      "Train Epoch: 223 [20480/50000 (45%)]\tLoss: 0.003359, Accuracy: 100.00\n",
      "Train Epoch: 223 [23040/50000 (51%)]\tLoss: 0.007517, Accuracy: 99.80\n",
      "Train Epoch: 223 [25600/50000 (57%)]\tLoss: 0.001968, Accuracy: 100.00\n",
      "Train Epoch: 223 [28160/50000 (62%)]\tLoss: 0.002519, Accuracy: 100.00\n",
      "Train Epoch: 223 [30720/50000 (68%)]\tLoss: 0.001527, Accuracy: 100.00\n",
      "Train Epoch: 223 [33280/50000 (74%)]\tLoss: 0.002170, Accuracy: 100.00\n",
      "Train Epoch: 223 [35840/50000 (80%)]\tLoss: 0.001558, Accuracy: 100.00\n",
      "Train Epoch: 223 [38400/50000 (85%)]\tLoss: 0.001909, Accuracy: 100.00\n",
      "Train Epoch: 223 [40960/50000 (91%)]\tLoss: 0.001616, Accuracy: 100.00\n",
      "Train Epoch: 223 [43520/50000 (97%)]\tLoss: 0.001907, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2881, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01371383666992 s]\n",
      "Train Epoch: 224 [0/50000 (0%)]\tLoss: 0.001778, Accuracy: 100.00\n",
      "Train Epoch: 224 [2560/50000 (6%)]\tLoss: 0.002061, Accuracy: 100.00\n",
      "Train Epoch: 224 [5120/50000 (11%)]\tLoss: 0.003685, Accuracy: 100.00\n",
      "Train Epoch: 224 [7680/50000 (17%)]\tLoss: 0.001863, Accuracy: 100.00\n",
      "Train Epoch: 224 [10240/50000 (23%)]\tLoss: 0.003839, Accuracy: 99.80\n",
      "Train Epoch: 224 [12800/50000 (28%)]\tLoss: 0.001551, Accuracy: 100.00\n",
      "Train Epoch: 224 [15360/50000 (34%)]\tLoss: 0.001757, Accuracy: 100.00\n",
      "Train Epoch: 224 [17920/50000 (40%)]\tLoss: 0.003788, Accuracy: 100.00\n",
      "Train Epoch: 224 [20480/50000 (45%)]\tLoss: 0.001759, Accuracy: 100.00\n",
      "Train Epoch: 224 [23040/50000 (51%)]\tLoss: 0.002763, Accuracy: 100.00\n",
      "Train Epoch: 224 [25600/50000 (57%)]\tLoss: 0.003709, Accuracy: 100.00\n",
      "Train Epoch: 224 [28160/50000 (62%)]\tLoss: 0.002135, Accuracy: 100.00\n",
      "Train Epoch: 224 [30720/50000 (68%)]\tLoss: 0.002029, Accuracy: 100.00\n",
      "Train Epoch: 224 [33280/50000 (74%)]\tLoss: 0.001856, Accuracy: 100.00\n",
      "Train Epoch: 224 [35840/50000 (80%)]\tLoss: 0.002170, Accuracy: 100.00\n",
      "Train Epoch: 224 [38400/50000 (85%)]\tLoss: 0.003064, Accuracy: 100.00\n",
      "Train Epoch: 224 [40960/50000 (91%)]\tLoss: 0.001994, Accuracy: 100.00\n",
      "Train Epoch: 224 [43520/50000 (97%)]\tLoss: 0.002956, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2892, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.94414496421814 s]\n",
      "Train Epoch: 225 [0/50000 (0%)]\tLoss: 0.001706, Accuracy: 100.00\n",
      "Train Epoch: 225 [2560/50000 (6%)]\tLoss: 0.003423, Accuracy: 100.00\n",
      "Train Epoch: 225 [5120/50000 (11%)]\tLoss: 0.003607, Accuracy: 100.00\n",
      "Train Epoch: 225 [7680/50000 (17%)]\tLoss: 0.002161, Accuracy: 100.00\n",
      "Train Epoch: 225 [10240/50000 (23%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "Train Epoch: 225 [12800/50000 (28%)]\tLoss: 0.001923, Accuracy: 100.00\n",
      "Train Epoch: 225 [15360/50000 (34%)]\tLoss: 0.002132, Accuracy: 100.00\n",
      "Train Epoch: 225 [17920/50000 (40%)]\tLoss: 0.004682, Accuracy: 99.80\n",
      "Train Epoch: 225 [20480/50000 (45%)]\tLoss: 0.001682, Accuracy: 100.00\n",
      "Train Epoch: 225 [23040/50000 (51%)]\tLoss: 0.001820, Accuracy: 100.00\n",
      "Train Epoch: 225 [25600/50000 (57%)]\tLoss: 0.001645, Accuracy: 100.00\n",
      "Train Epoch: 225 [28160/50000 (62%)]\tLoss: 0.002376, Accuracy: 100.00\n",
      "Train Epoch: 225 [30720/50000 (68%)]\tLoss: 0.001780, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 225 [33280/50000 (74%)]\tLoss: 0.001753, Accuracy: 100.00\n",
      "Train Epoch: 225 [35840/50000 (80%)]\tLoss: 0.002981, Accuracy: 100.00\n",
      "Train Epoch: 225 [38400/50000 (85%)]\tLoss: 0.001845, Accuracy: 100.00\n",
      "Train Epoch: 225 [40960/50000 (91%)]\tLoss: 0.001654, Accuracy: 100.00\n",
      "Train Epoch: 225 [43520/50000 (97%)]\tLoss: 0.001784, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2911, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.771745920181274 s]\n",
      "Train Epoch: 226 [0/50000 (0%)]\tLoss: 0.002076, Accuracy: 100.00\n",
      "Train Epoch: 226 [2560/50000 (6%)]\tLoss: 0.003292, Accuracy: 100.00\n",
      "Train Epoch: 226 [5120/50000 (11%)]\tLoss: 0.002499, Accuracy: 100.00\n",
      "Train Epoch: 226 [7680/50000 (17%)]\tLoss: 0.004126, Accuracy: 100.00\n",
      "Train Epoch: 226 [10240/50000 (23%)]\tLoss: 0.002296, Accuracy: 100.00\n",
      "Train Epoch: 226 [12800/50000 (28%)]\tLoss: 0.002350, Accuracy: 100.00\n",
      "Train Epoch: 226 [15360/50000 (34%)]\tLoss: 0.001561, Accuracy: 100.00\n",
      "Train Epoch: 226 [17920/50000 (40%)]\tLoss: 0.003151, Accuracy: 100.00\n",
      "Train Epoch: 226 [20480/50000 (45%)]\tLoss: 0.001823, Accuracy: 100.00\n",
      "Train Epoch: 226 [23040/50000 (51%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 226 [25600/50000 (57%)]\tLoss: 0.002206, Accuracy: 100.00\n",
      "Train Epoch: 226 [28160/50000 (62%)]\tLoss: 0.001607, Accuracy: 100.00\n",
      "Train Epoch: 226 [30720/50000 (68%)]\tLoss: 0.002721, Accuracy: 100.00\n",
      "Train Epoch: 226 [33280/50000 (74%)]\tLoss: 0.001804, Accuracy: 100.00\n",
      "Train Epoch: 226 [35840/50000 (80%)]\tLoss: 0.001693, Accuracy: 100.00\n",
      "Train Epoch: 226 [38400/50000 (85%)]\tLoss: 0.001302, Accuracy: 100.00\n",
      "Train Epoch: 226 [40960/50000 (91%)]\tLoss: 0.004013, Accuracy: 100.00\n",
      "Train Epoch: 226 [43520/50000 (97%)]\tLoss: 0.002419, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2882, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.7561776638031 s]\n",
      "Train Epoch: 227 [0/50000 (0%)]\tLoss: 0.003193, Accuracy: 100.00\n",
      "Train Epoch: 227 [2560/50000 (6%)]\tLoss: 0.001395, Accuracy: 100.00\n",
      "Train Epoch: 227 [5120/50000 (11%)]\tLoss: 0.001439, Accuracy: 100.00\n",
      "Train Epoch: 227 [7680/50000 (17%)]\tLoss: 0.001760, Accuracy: 100.00\n",
      "Train Epoch: 227 [10240/50000 (23%)]\tLoss: 0.002174, Accuracy: 100.00\n",
      "Train Epoch: 227 [12800/50000 (28%)]\tLoss: 0.002115, Accuracy: 100.00\n",
      "Train Epoch: 227 [15360/50000 (34%)]\tLoss: 0.001736, Accuracy: 100.00\n",
      "Train Epoch: 227 [17920/50000 (40%)]\tLoss: 0.002605, Accuracy: 100.00\n",
      "Train Epoch: 227 [20480/50000 (45%)]\tLoss: 0.001710, Accuracy: 100.00\n",
      "Train Epoch: 227 [23040/50000 (51%)]\tLoss: 0.001845, Accuracy: 100.00\n",
      "Train Epoch: 227 [25600/50000 (57%)]\tLoss: 0.001748, Accuracy: 100.00\n",
      "Train Epoch: 227 [28160/50000 (62%)]\tLoss: 0.001901, Accuracy: 100.00\n",
      "Train Epoch: 227 [30720/50000 (68%)]\tLoss: 0.002543, Accuracy: 100.00\n",
      "Train Epoch: 227 [33280/50000 (74%)]\tLoss: 0.001937, Accuracy: 100.00\n",
      "Train Epoch: 227 [35840/50000 (80%)]\tLoss: 0.002631, Accuracy: 100.00\n",
      "Train Epoch: 227 [38400/50000 (85%)]\tLoss: 0.003398, Accuracy: 100.00\n",
      "Train Epoch: 227 [40960/50000 (91%)]\tLoss: 0.001567, Accuracy: 100.00\n",
      "Train Epoch: 227 [43520/50000 (97%)]\tLoss: 0.001878, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2878, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.002232789993286 s]\n",
      "Train Epoch: 228 [0/50000 (0%)]\tLoss: 0.002084, Accuracy: 100.00\n",
      "Train Epoch: 228 [2560/50000 (6%)]\tLoss: 0.001926, Accuracy: 100.00\n",
      "Train Epoch: 228 [5120/50000 (11%)]\tLoss: 0.002282, Accuracy: 100.00\n",
      "Train Epoch: 228 [7680/50000 (17%)]\tLoss: 0.002258, Accuracy: 100.00\n",
      "Train Epoch: 228 [10240/50000 (23%)]\tLoss: 0.002346, Accuracy: 100.00\n",
      "Train Epoch: 228 [12800/50000 (28%)]\tLoss: 0.002030, Accuracy: 100.00\n",
      "Train Epoch: 228 [15360/50000 (34%)]\tLoss: 0.001955, Accuracy: 100.00\n",
      "Train Epoch: 228 [17920/50000 (40%)]\tLoss: 0.001880, Accuracy: 100.00\n",
      "Train Epoch: 228 [20480/50000 (45%)]\tLoss: 0.002309, Accuracy: 100.00\n",
      "Train Epoch: 228 [23040/50000 (51%)]\tLoss: 0.002536, Accuracy: 100.00\n",
      "Train Epoch: 228 [25600/50000 (57%)]\tLoss: 0.001631, Accuracy: 100.00\n",
      "Train Epoch: 228 [28160/50000 (62%)]\tLoss: 0.001672, Accuracy: 100.00\n",
      "Train Epoch: 228 [30720/50000 (68%)]\tLoss: 0.001768, Accuracy: 100.00\n",
      "Train Epoch: 228 [33280/50000 (74%)]\tLoss: 0.001843, Accuracy: 100.00\n",
      "Train Epoch: 228 [35840/50000 (80%)]\tLoss: 0.002119, Accuracy: 100.00\n",
      "Train Epoch: 228 [38400/50000 (85%)]\tLoss: 0.001814, Accuracy: 100.00\n",
      "Train Epoch: 228 [40960/50000 (91%)]\tLoss: 0.002001, Accuracy: 100.00\n",
      "Train Epoch: 228 [43520/50000 (97%)]\tLoss: 0.001937, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2847, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.02405309677124 s]\n",
      "Train Epoch: 229 [0/50000 (0%)]\tLoss: 0.001876, Accuracy: 100.00\n",
      "Train Epoch: 229 [2560/50000 (6%)]\tLoss: 0.002078, Accuracy: 100.00\n",
      "Train Epoch: 229 [5120/50000 (11%)]\tLoss: 0.002423, Accuracy: 100.00\n",
      "Train Epoch: 229 [7680/50000 (17%)]\tLoss: 0.002088, Accuracy: 100.00\n",
      "Train Epoch: 229 [10240/50000 (23%)]\tLoss: 0.002342, Accuracy: 100.00\n",
      "Train Epoch: 229 [12800/50000 (28%)]\tLoss: 0.001908, Accuracy: 100.00\n",
      "Train Epoch: 229 [15360/50000 (34%)]\tLoss: 0.001710, Accuracy: 100.00\n",
      "Train Epoch: 229 [17920/50000 (40%)]\tLoss: 0.001765, Accuracy: 100.00\n",
      "Train Epoch: 229 [20480/50000 (45%)]\tLoss: 0.001748, Accuracy: 100.00\n",
      "Train Epoch: 229 [23040/50000 (51%)]\tLoss: 0.003245, Accuracy: 100.00\n",
      "Train Epoch: 229 [25600/50000 (57%)]\tLoss: 0.001820, Accuracy: 100.00\n",
      "Train Epoch: 229 [28160/50000 (62%)]\tLoss: 0.002684, Accuracy: 100.00\n",
      "Train Epoch: 229 [30720/50000 (68%)]\tLoss: 0.002011, Accuracy: 100.00\n",
      "Train Epoch: 229 [33280/50000 (74%)]\tLoss: 0.001777, Accuracy: 100.00\n",
      "Train Epoch: 229 [35840/50000 (80%)]\tLoss: 0.001642, Accuracy: 100.00\n",
      "Train Epoch: 229 [38400/50000 (85%)]\tLoss: 0.001833, Accuracy: 100.00\n",
      "Train Epoch: 229 [40960/50000 (91%)]\tLoss: 0.001726, Accuracy: 100.00\n",
      "Train Epoch: 229 [43520/50000 (97%)]\tLoss: 0.003027, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2844, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01566433906555 s]\n",
      "Train Epoch: 230 [0/50000 (0%)]\tLoss: 0.001809, Accuracy: 100.00\n",
      "Train Epoch: 230 [2560/50000 (6%)]\tLoss: 0.002634, Accuracy: 100.00\n",
      "Train Epoch: 230 [5120/50000 (11%)]\tLoss: 0.001864, Accuracy: 100.00\n",
      "Train Epoch: 230 [7680/50000 (17%)]\tLoss: 0.003347, Accuracy: 100.00\n",
      "Train Epoch: 230 [10240/50000 (23%)]\tLoss: 0.001599, Accuracy: 100.00\n",
      "Train Epoch: 230 [12800/50000 (28%)]\tLoss: 0.003882, Accuracy: 99.80\n",
      "Train Epoch: 230 [15360/50000 (34%)]\tLoss: 0.001741, Accuracy: 100.00\n",
      "Train Epoch: 230 [17920/50000 (40%)]\tLoss: 0.002873, Accuracy: 100.00\n",
      "Train Epoch: 230 [20480/50000 (45%)]\tLoss: 0.001693, Accuracy: 100.00\n",
      "Train Epoch: 230 [23040/50000 (51%)]\tLoss: 0.003245, Accuracy: 100.00\n",
      "Train Epoch: 230 [25600/50000 (57%)]\tLoss: 0.001710, Accuracy: 100.00\n",
      "Train Epoch: 230 [28160/50000 (62%)]\tLoss: 0.001709, Accuracy: 100.00\n",
      "Train Epoch: 230 [30720/50000 (68%)]\tLoss: 0.001752, Accuracy: 100.00\n",
      "Train Epoch: 230 [33280/50000 (74%)]\tLoss: 0.002091, Accuracy: 100.00\n",
      "Train Epoch: 230 [35840/50000 (80%)]\tLoss: 0.001816, Accuracy: 100.00\n",
      "Train Epoch: 230 [38400/50000 (85%)]\tLoss: 0.002083, Accuracy: 100.00\n",
      "Train Epoch: 230 [40960/50000 (91%)]\tLoss: 0.002004, Accuracy: 100.00\n",
      "Train Epoch: 230 [43520/50000 (97%)]\tLoss: 0.002275, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2879, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00473976135254 s]\n",
      "\n",
      "Test set: Average loss: 0.3226, Accuracy: 9317/10000 (93.17%)\n",
      "\n",
      "Train Epoch: 231 [0/50000 (0%)]\tLoss: 0.002080, Accuracy: 100.00\n",
      "Train Epoch: 231 [2560/50000 (6%)]\tLoss: 0.002289, Accuracy: 100.00\n",
      "Train Epoch: 231 [5120/50000 (11%)]\tLoss: 0.002705, Accuracy: 100.00\n",
      "Train Epoch: 231 [7680/50000 (17%)]\tLoss: 0.002542, Accuracy: 100.00\n",
      "Train Epoch: 231 [10240/50000 (23%)]\tLoss: 0.001862, Accuracy: 100.00\n",
      "Train Epoch: 231 [12800/50000 (28%)]\tLoss: 0.001805, Accuracy: 100.00\n",
      "Train Epoch: 231 [15360/50000 (34%)]\tLoss: 0.001442, Accuracy: 100.00\n",
      "Train Epoch: 231 [17920/50000 (40%)]\tLoss: 0.001694, Accuracy: 100.00\n",
      "Train Epoch: 231 [20480/50000 (45%)]\tLoss: 0.004876, Accuracy: 99.80\n",
      "Train Epoch: 231 [23040/50000 (51%)]\tLoss: 0.003658, Accuracy: 100.00\n",
      "Train Epoch: 231 [25600/50000 (57%)]\tLoss: 0.001603, Accuracy: 100.00\n",
      "Train Epoch: 231 [28160/50000 (62%)]\tLoss: 0.001595, Accuracy: 100.00\n",
      "Train Epoch: 231 [30720/50000 (68%)]\tLoss: 0.001813, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 231 [33280/50000 (74%)]\tLoss: 0.001842, Accuracy: 100.00\n",
      "Train Epoch: 231 [35840/50000 (80%)]\tLoss: 0.001806, Accuracy: 100.00\n",
      "Train Epoch: 231 [38400/50000 (85%)]\tLoss: 0.001277, Accuracy: 100.00\n",
      "Train Epoch: 231 [40960/50000 (91%)]\tLoss: 0.001429, Accuracy: 100.00\n",
      "Train Epoch: 231 [43520/50000 (97%)]\tLoss: 0.002318, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2869, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.762006759643555 s]\n",
      "Train Epoch: 232 [0/50000 (0%)]\tLoss: 0.002174, Accuracy: 100.00\n",
      "Train Epoch: 232 [2560/50000 (6%)]\tLoss: 0.001642, Accuracy: 100.00\n",
      "Train Epoch: 232 [5120/50000 (11%)]\tLoss: 0.001579, Accuracy: 100.00\n",
      "Train Epoch: 232 [7680/50000 (17%)]\tLoss: 0.001732, Accuracy: 100.00\n",
      "Train Epoch: 232 [10240/50000 (23%)]\tLoss: 0.001624, Accuracy: 100.00\n",
      "Train Epoch: 232 [12800/50000 (28%)]\tLoss: 0.002800, Accuracy: 100.00\n",
      "Train Epoch: 232 [15360/50000 (34%)]\tLoss: 0.003873, Accuracy: 99.80\n",
      "Train Epoch: 232 [17920/50000 (40%)]\tLoss: 0.001830, Accuracy: 100.00\n",
      "Train Epoch: 232 [20480/50000 (45%)]\tLoss: 0.001779, Accuracy: 100.00\n",
      "Train Epoch: 232 [23040/50000 (51%)]\tLoss: 0.001317, Accuracy: 100.00\n",
      "Train Epoch: 232 [25600/50000 (57%)]\tLoss: 0.001865, Accuracy: 100.00\n",
      "Train Epoch: 232 [28160/50000 (62%)]\tLoss: 0.002059, Accuracy: 100.00\n",
      "Train Epoch: 232 [30720/50000 (68%)]\tLoss: 0.002853, Accuracy: 100.00\n",
      "Train Epoch: 232 [33280/50000 (74%)]\tLoss: 0.001942, Accuracy: 100.00\n",
      "Train Epoch: 232 [35840/50000 (80%)]\tLoss: 0.001830, Accuracy: 100.00\n",
      "Train Epoch: 232 [38400/50000 (85%)]\tLoss: 0.002055, Accuracy: 100.00\n",
      "Train Epoch: 232 [40960/50000 (91%)]\tLoss: 0.002008, Accuracy: 100.00\n",
      "Train Epoch: 232 [43520/50000 (97%)]\tLoss: 0.001775, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2860, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00271034240723 s]\n",
      "Train Epoch: 233 [0/50000 (0%)]\tLoss: 0.001839, Accuracy: 100.00\n",
      "Train Epoch: 233 [2560/50000 (6%)]\tLoss: 0.001589, Accuracy: 100.00\n",
      "Train Epoch: 233 [5120/50000 (11%)]\tLoss: 0.001869, Accuracy: 100.00\n",
      "Train Epoch: 233 [7680/50000 (17%)]\tLoss: 0.002276, Accuracy: 100.00\n",
      "Train Epoch: 233 [10240/50000 (23%)]\tLoss: 0.002538, Accuracy: 100.00\n",
      "Train Epoch: 233 [12800/50000 (28%)]\tLoss: 0.002527, Accuracy: 100.00\n",
      "Train Epoch: 233 [15360/50000 (34%)]\tLoss: 0.004021, Accuracy: 99.80\n",
      "Train Epoch: 233 [17920/50000 (40%)]\tLoss: 0.002400, Accuracy: 100.00\n",
      "Train Epoch: 233 [20480/50000 (45%)]\tLoss: 0.002981, Accuracy: 100.00\n",
      "Train Epoch: 233 [23040/50000 (51%)]\tLoss: 0.002073, Accuracy: 100.00\n",
      "Train Epoch: 233 [25600/50000 (57%)]\tLoss: 0.001954, Accuracy: 100.00\n",
      "Train Epoch: 233 [28160/50000 (62%)]\tLoss: 0.003173, Accuracy: 100.00\n",
      "Train Epoch: 233 [30720/50000 (68%)]\tLoss: 0.003066, Accuracy: 100.00\n",
      "Train Epoch: 233 [33280/50000 (74%)]\tLoss: 0.001861, Accuracy: 100.00\n",
      "Train Epoch: 233 [35840/50000 (80%)]\tLoss: 0.004761, Accuracy: 99.80\n",
      "Train Epoch: 233 [38400/50000 (85%)]\tLoss: 0.001443, Accuracy: 100.00\n",
      "Train Epoch: 233 [40960/50000 (91%)]\tLoss: 0.001441, Accuracy: 100.00\n",
      "Train Epoch: 233 [43520/50000 (97%)]\tLoss: 0.001774, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2892, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.030487060546875 s]\n",
      "Train Epoch: 234 [0/50000 (0%)]\tLoss: 0.003342, Accuracy: 99.80\n",
      "Train Epoch: 234 [2560/50000 (6%)]\tLoss: 0.001401, Accuracy: 100.00\n",
      "Train Epoch: 234 [5120/50000 (11%)]\tLoss: 0.001646, Accuracy: 100.00\n",
      "Train Epoch: 234 [7680/50000 (17%)]\tLoss: 0.007949, Accuracy: 99.80\n",
      "Train Epoch: 234 [10240/50000 (23%)]\tLoss: 0.001956, Accuracy: 100.00\n",
      "Train Epoch: 234 [12800/50000 (28%)]\tLoss: 0.001793, Accuracy: 100.00\n",
      "Train Epoch: 234 [15360/50000 (34%)]\tLoss: 0.001666, Accuracy: 100.00\n",
      "Train Epoch: 234 [17920/50000 (40%)]\tLoss: 0.001490, Accuracy: 100.00\n",
      "Train Epoch: 234 [20480/50000 (45%)]\tLoss: 0.002347, Accuracy: 100.00\n",
      "Train Epoch: 234 [23040/50000 (51%)]\tLoss: 0.002055, Accuracy: 100.00\n",
      "Train Epoch: 234 [25600/50000 (57%)]\tLoss: 0.001729, Accuracy: 100.00\n",
      "Train Epoch: 234 [28160/50000 (62%)]\tLoss: 0.001713, Accuracy: 100.00\n",
      "Train Epoch: 234 [30720/50000 (68%)]\tLoss: 0.004381, Accuracy: 99.80\n",
      "Train Epoch: 234 [33280/50000 (74%)]\tLoss: 0.001571, Accuracy: 100.00\n",
      "Train Epoch: 234 [35840/50000 (80%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "Train Epoch: 234 [38400/50000 (85%)]\tLoss: 0.001928, Accuracy: 100.00\n",
      "Train Epoch: 234 [40960/50000 (91%)]\tLoss: 0.004417, Accuracy: 100.00\n",
      "Train Epoch: 234 [43520/50000 (97%)]\tLoss: 0.002076, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2865, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.967936754226685 s]\n",
      "Train Epoch: 235 [0/50000 (0%)]\tLoss: 0.001818, Accuracy: 100.00\n",
      "Train Epoch: 235 [2560/50000 (6%)]\tLoss: 0.002339, Accuracy: 100.00\n",
      "Train Epoch: 235 [5120/50000 (11%)]\tLoss: 0.001614, Accuracy: 100.00\n",
      "Train Epoch: 235 [7680/50000 (17%)]\tLoss: 0.002480, Accuracy: 100.00\n",
      "Train Epoch: 235 [10240/50000 (23%)]\tLoss: 0.002066, Accuracy: 100.00\n",
      "Train Epoch: 235 [12800/50000 (28%)]\tLoss: 0.001839, Accuracy: 100.00\n",
      "Train Epoch: 235 [15360/50000 (34%)]\tLoss: 0.001997, Accuracy: 100.00\n",
      "Train Epoch: 235 [17920/50000 (40%)]\tLoss: 0.002168, Accuracy: 100.00\n",
      "Train Epoch: 235 [20480/50000 (45%)]\tLoss: 0.001659, Accuracy: 100.00\n",
      "Train Epoch: 235 [23040/50000 (51%)]\tLoss: 0.004244, Accuracy: 99.80\n",
      "Train Epoch: 235 [25600/50000 (57%)]\tLoss: 0.002118, Accuracy: 100.00\n",
      "Train Epoch: 235 [28160/50000 (62%)]\tLoss: 0.002097, Accuracy: 100.00\n",
      "Train Epoch: 235 [30720/50000 (68%)]\tLoss: 0.001783, Accuracy: 100.00\n",
      "Train Epoch: 235 [33280/50000 (74%)]\tLoss: 0.003159, Accuracy: 100.00\n",
      "Train Epoch: 235 [35840/50000 (80%)]\tLoss: 0.002280, Accuracy: 100.00\n",
      "Train Epoch: 235 [38400/50000 (85%)]\tLoss: 0.001804, Accuracy: 100.00\n",
      "Train Epoch: 235 [40960/50000 (91%)]\tLoss: 0.001922, Accuracy: 100.00\n",
      "Train Epoch: 235 [43520/50000 (97%)]\tLoss: 0.002172, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2884, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.98279857635498 s]\n",
      "Train Epoch: 236 [0/50000 (0%)]\tLoss: 0.001692, Accuracy: 100.00\n",
      "Train Epoch: 236 [2560/50000 (6%)]\tLoss: 0.001972, Accuracy: 100.00\n",
      "Train Epoch: 236 [5120/50000 (11%)]\tLoss: 0.002283, Accuracy: 100.00\n",
      "Train Epoch: 236 [7680/50000 (17%)]\tLoss: 0.003003, Accuracy: 100.00\n",
      "Train Epoch: 236 [10240/50000 (23%)]\tLoss: 0.001940, Accuracy: 100.00\n",
      "Train Epoch: 236 [12800/50000 (28%)]\tLoss: 0.002903, Accuracy: 100.00\n",
      "Train Epoch: 236 [15360/50000 (34%)]\tLoss: 0.004798, Accuracy: 100.00\n",
      "Train Epoch: 236 [17920/50000 (40%)]\tLoss: 0.001836, Accuracy: 100.00\n",
      "Train Epoch: 236 [20480/50000 (45%)]\tLoss: 0.001507, Accuracy: 100.00\n",
      "Train Epoch: 236 [23040/50000 (51%)]\tLoss: 0.002569, Accuracy: 100.00\n",
      "Train Epoch: 236 [25600/50000 (57%)]\tLoss: 0.002218, Accuracy: 100.00\n",
      "Train Epoch: 236 [28160/50000 (62%)]\tLoss: 0.001817, Accuracy: 100.00\n",
      "Train Epoch: 236 [30720/50000 (68%)]\tLoss: 0.001774, Accuracy: 100.00\n",
      "Train Epoch: 236 [33280/50000 (74%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 236 [35840/50000 (80%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 236 [38400/50000 (85%)]\tLoss: 0.002396, Accuracy: 100.00\n",
      "Train Epoch: 236 [40960/50000 (91%)]\tLoss: 0.001847, Accuracy: 100.00\n",
      "Train Epoch: 236 [43520/50000 (97%)]\tLoss: 0.002267, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2889, Accuracy: 4689/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.990318775177002 s]\n",
      "Train Epoch: 237 [0/50000 (0%)]\tLoss: 0.006339, Accuracy: 99.80\n",
      "Train Epoch: 237 [2560/50000 (6%)]\tLoss: 0.002034, Accuracy: 100.00\n",
      "Train Epoch: 237 [5120/50000 (11%)]\tLoss: 0.002095, Accuracy: 100.00\n",
      "Train Epoch: 237 [7680/50000 (17%)]\tLoss: 0.004133, Accuracy: 99.80\n",
      "Train Epoch: 237 [10240/50000 (23%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 237 [12800/50000 (28%)]\tLoss: 0.001629, Accuracy: 100.00\n",
      "Train Epoch: 237 [15360/50000 (34%)]\tLoss: 0.002069, Accuracy: 100.00\n",
      "Train Epoch: 237 [17920/50000 (40%)]\tLoss: 0.002303, Accuracy: 100.00\n",
      "Train Epoch: 237 [20480/50000 (45%)]\tLoss: 0.004322, Accuracy: 99.80\n",
      "Train Epoch: 237 [23040/50000 (51%)]\tLoss: 0.001965, Accuracy: 100.00\n",
      "Train Epoch: 237 [25600/50000 (57%)]\tLoss: 0.001776, Accuracy: 100.00\n",
      "Train Epoch: 237 [28160/50000 (62%)]\tLoss: 0.002076, Accuracy: 100.00\n",
      "Train Epoch: 237 [30720/50000 (68%)]\tLoss: 0.002416, Accuracy: 100.00\n",
      "Train Epoch: 237 [33280/50000 (74%)]\tLoss: 0.001357, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 237 [35840/50000 (80%)]\tLoss: 0.001983, Accuracy: 100.00\n",
      "Train Epoch: 237 [38400/50000 (85%)]\tLoss: 0.001847, Accuracy: 100.00\n",
      "Train Epoch: 237 [40960/50000 (91%)]\tLoss: 0.001657, Accuracy: 100.00\n",
      "Train Epoch: 237 [43520/50000 (97%)]\tLoss: 0.002239, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2886, Accuracy: 4676/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.03729033470154 s]\n",
      "Train Epoch: 238 [0/50000 (0%)]\tLoss: 0.001926, Accuracy: 100.00\n",
      "Train Epoch: 238 [2560/50000 (6%)]\tLoss: 0.001806, Accuracy: 100.00\n",
      "Train Epoch: 238 [5120/50000 (11%)]\tLoss: 0.001523, Accuracy: 100.00\n",
      "Train Epoch: 238 [7680/50000 (17%)]\tLoss: 0.002771, Accuracy: 100.00\n",
      "Train Epoch: 238 [10240/50000 (23%)]\tLoss: 0.001817, Accuracy: 100.00\n",
      "Train Epoch: 238 [12800/50000 (28%)]\tLoss: 0.001681, Accuracy: 100.00\n",
      "Train Epoch: 238 [15360/50000 (34%)]\tLoss: 0.002210, Accuracy: 100.00\n",
      "Train Epoch: 238 [17920/50000 (40%)]\tLoss: 0.003452, Accuracy: 99.80\n",
      "Train Epoch: 238 [20480/50000 (45%)]\tLoss: 0.001638, Accuracy: 100.00\n",
      "Train Epoch: 238 [23040/50000 (51%)]\tLoss: 0.001768, Accuracy: 100.00\n",
      "Train Epoch: 238 [25600/50000 (57%)]\tLoss: 0.001792, Accuracy: 100.00\n",
      "Train Epoch: 238 [28160/50000 (62%)]\tLoss: 0.001321, Accuracy: 100.00\n",
      "Train Epoch: 238 [30720/50000 (68%)]\tLoss: 0.001388, Accuracy: 100.00\n",
      "Train Epoch: 238 [33280/50000 (74%)]\tLoss: 0.001699, Accuracy: 100.00\n",
      "Train Epoch: 238 [35840/50000 (80%)]\tLoss: 0.006619, Accuracy: 99.80\n",
      "Train Epoch: 238 [38400/50000 (85%)]\tLoss: 0.002242, Accuracy: 100.00\n",
      "Train Epoch: 238 [40960/50000 (91%)]\tLoss: 0.001908, Accuracy: 100.00\n",
      "Train Epoch: 238 [43520/50000 (97%)]\tLoss: 0.001870, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2860, Accuracy: 4690/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.05296587944031 s]\n",
      "Train Epoch: 239 [0/50000 (0%)]\tLoss: 0.002186, Accuracy: 100.00\n",
      "Train Epoch: 239 [2560/50000 (6%)]\tLoss: 0.002159, Accuracy: 100.00\n",
      "Train Epoch: 239 [5120/50000 (11%)]\tLoss: 0.001934, Accuracy: 100.00\n",
      "Train Epoch: 239 [7680/50000 (17%)]\tLoss: 0.002177, Accuracy: 100.00\n",
      "Train Epoch: 239 [10240/50000 (23%)]\tLoss: 0.003596, Accuracy: 99.80\n",
      "Train Epoch: 239 [12800/50000 (28%)]\tLoss: 0.003510, Accuracy: 99.80\n",
      "Train Epoch: 239 [15360/50000 (34%)]\tLoss: 0.002163, Accuracy: 100.00\n",
      "Train Epoch: 239 [17920/50000 (40%)]\tLoss: 0.001785, Accuracy: 100.00\n",
      "Train Epoch: 239 [20480/50000 (45%)]\tLoss: 0.005322, Accuracy: 99.61\n",
      "Train Epoch: 239 [23040/50000 (51%)]\tLoss: 0.002523, Accuracy: 100.00\n",
      "Train Epoch: 239 [25600/50000 (57%)]\tLoss: 0.002120, Accuracy: 100.00\n",
      "Train Epoch: 239 [28160/50000 (62%)]\tLoss: 0.001669, Accuracy: 100.00\n",
      "Train Epoch: 239 [30720/50000 (68%)]\tLoss: 0.001780, Accuracy: 100.00\n",
      "Train Epoch: 239 [33280/50000 (74%)]\tLoss: 0.002085, Accuracy: 100.00\n",
      "Train Epoch: 239 [35840/50000 (80%)]\tLoss: 0.001680, Accuracy: 100.00\n",
      "Train Epoch: 239 [38400/50000 (85%)]\tLoss: 0.001883, Accuracy: 100.00\n",
      "Train Epoch: 239 [40960/50000 (91%)]\tLoss: 0.001762, Accuracy: 100.00\n",
      "Train Epoch: 239 [43520/50000 (97%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2868, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.02334022521973 s]\n",
      "Train Epoch: 240 [0/50000 (0%)]\tLoss: 0.002084, Accuracy: 100.00\n",
      "Train Epoch: 240 [2560/50000 (6%)]\tLoss: 0.001576, Accuracy: 100.00\n",
      "Train Epoch: 240 [5120/50000 (11%)]\tLoss: 0.001305, Accuracy: 100.00\n",
      "Train Epoch: 240 [7680/50000 (17%)]\tLoss: 0.002327, Accuracy: 100.00\n",
      "Train Epoch: 240 [10240/50000 (23%)]\tLoss: 0.003710, Accuracy: 100.00\n",
      "Train Epoch: 240 [12800/50000 (28%)]\tLoss: 0.002159, Accuracy: 100.00\n",
      "Train Epoch: 240 [15360/50000 (34%)]\tLoss: 0.001866, Accuracy: 100.00\n",
      "Train Epoch: 240 [17920/50000 (40%)]\tLoss: 0.001551, Accuracy: 100.00\n",
      "Train Epoch: 240 [20480/50000 (45%)]\tLoss: 0.003477, Accuracy: 100.00\n",
      "Train Epoch: 240 [23040/50000 (51%)]\tLoss: 0.001283, Accuracy: 100.00\n",
      "Train Epoch: 240 [25600/50000 (57%)]\tLoss: 0.002678, Accuracy: 100.00\n",
      "Train Epoch: 240 [28160/50000 (62%)]\tLoss: 0.006046, Accuracy: 99.61\n",
      "Train Epoch: 240 [30720/50000 (68%)]\tLoss: 0.001489, Accuracy: 100.00\n",
      "Train Epoch: 240 [33280/50000 (74%)]\tLoss: 0.002336, Accuracy: 100.00\n",
      "Train Epoch: 240 [35840/50000 (80%)]\tLoss: 0.001753, Accuracy: 100.00\n",
      "Train Epoch: 240 [38400/50000 (85%)]\tLoss: 0.001549, Accuracy: 100.00\n",
      "Train Epoch: 240 [40960/50000 (91%)]\tLoss: 0.001617, Accuracy: 100.00\n",
      "Train Epoch: 240 [43520/50000 (97%)]\tLoss: 0.001901, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2891, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.081390619277954 s]\n",
      "\n",
      "Test set: Average loss: 0.3227, Accuracy: 9310/10000 (93.10%)\n",
      "\n",
      "Train Epoch: 241 [0/50000 (0%)]\tLoss: 0.001438, Accuracy: 100.00\n",
      "Train Epoch: 241 [2560/50000 (6%)]\tLoss: 0.002078, Accuracy: 100.00\n",
      "Train Epoch: 241 [5120/50000 (11%)]\tLoss: 0.001849, Accuracy: 100.00\n",
      "Train Epoch: 241 [7680/50000 (17%)]\tLoss: 0.001499, Accuracy: 100.00\n",
      "Train Epoch: 241 [10240/50000 (23%)]\tLoss: 0.001862, Accuracy: 100.00\n",
      "Train Epoch: 241 [12800/50000 (28%)]\tLoss: 0.002287, Accuracy: 100.00\n",
      "Train Epoch: 241 [15360/50000 (34%)]\tLoss: 0.002308, Accuracy: 100.00\n",
      "Train Epoch: 241 [17920/50000 (40%)]\tLoss: 0.002631, Accuracy: 100.00\n",
      "Train Epoch: 241 [20480/50000 (45%)]\tLoss: 0.001873, Accuracy: 100.00\n",
      "Train Epoch: 241 [23040/50000 (51%)]\tLoss: 0.001626, Accuracy: 100.00\n",
      "Train Epoch: 241 [25600/50000 (57%)]\tLoss: 0.001733, Accuracy: 100.00\n",
      "Train Epoch: 241 [28160/50000 (62%)]\tLoss: 0.001571, Accuracy: 100.00\n",
      "Train Epoch: 241 [30720/50000 (68%)]\tLoss: 0.002631, Accuracy: 100.00\n",
      "Train Epoch: 241 [33280/50000 (74%)]\tLoss: 0.002015, Accuracy: 100.00\n",
      "Train Epoch: 241 [35840/50000 (80%)]\tLoss: 0.002110, Accuracy: 100.00\n",
      "Train Epoch: 241 [38400/50000 (85%)]\tLoss: 0.002135, Accuracy: 100.00\n",
      "Train Epoch: 241 [40960/50000 (91%)]\tLoss: 0.002971, Accuracy: 100.00\n",
      "Train Epoch: 241 [43520/50000 (97%)]\tLoss: 0.001470, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2879, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.72793650627136 s]\n",
      "Train Epoch: 242 [0/50000 (0%)]\tLoss: 0.001722, Accuracy: 100.00\n",
      "Train Epoch: 242 [2560/50000 (6%)]\tLoss: 0.001600, Accuracy: 100.00\n",
      "Train Epoch: 242 [5120/50000 (11%)]\tLoss: 0.002452, Accuracy: 100.00\n",
      "Train Epoch: 242 [7680/50000 (17%)]\tLoss: 0.001489, Accuracy: 100.00\n",
      "Train Epoch: 242 [10240/50000 (23%)]\tLoss: 0.001575, Accuracy: 100.00\n",
      "Train Epoch: 242 [12800/50000 (28%)]\tLoss: 0.002466, Accuracy: 100.00\n",
      "Train Epoch: 242 [15360/50000 (34%)]\tLoss: 0.001312, Accuracy: 100.00\n",
      "Train Epoch: 242 [17920/50000 (40%)]\tLoss: 0.001781, Accuracy: 100.00\n",
      "Train Epoch: 242 [20480/50000 (45%)]\tLoss: 0.001467, Accuracy: 100.00\n",
      "Train Epoch: 242 [23040/50000 (51%)]\tLoss: 0.001414, Accuracy: 100.00\n",
      "Train Epoch: 242 [25600/50000 (57%)]\tLoss: 0.002011, Accuracy: 100.00\n",
      "Train Epoch: 242 [28160/50000 (62%)]\tLoss: 0.001960, Accuracy: 100.00\n",
      "Train Epoch: 242 [30720/50000 (68%)]\tLoss: 0.001618, Accuracy: 100.00\n",
      "Train Epoch: 242 [33280/50000 (74%)]\tLoss: 0.001432, Accuracy: 100.00\n",
      "Train Epoch: 242 [35840/50000 (80%)]\tLoss: 0.002246, Accuracy: 100.00\n",
      "Train Epoch: 242 [38400/50000 (85%)]\tLoss: 0.001700, Accuracy: 100.00\n",
      "Train Epoch: 242 [40960/50000 (91%)]\tLoss: 0.001966, Accuracy: 100.00\n",
      "Train Epoch: 242 [43520/50000 (97%)]\tLoss: 0.002123, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2903, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.991199254989624 s]\n",
      "Train Epoch: 243 [0/50000 (0%)]\tLoss: 0.002201, Accuracy: 100.00\n",
      "Train Epoch: 243 [2560/50000 (6%)]\tLoss: 0.002225, Accuracy: 100.00\n",
      "Train Epoch: 243 [5120/50000 (11%)]\tLoss: 0.002146, Accuracy: 100.00\n",
      "Train Epoch: 243 [7680/50000 (17%)]\tLoss: 0.001727, Accuracy: 100.00\n",
      "Train Epoch: 243 [10240/50000 (23%)]\tLoss: 0.001474, Accuracy: 100.00\n",
      "Train Epoch: 243 [12800/50000 (28%)]\tLoss: 0.001710, Accuracy: 100.00\n",
      "Train Epoch: 243 [15360/50000 (34%)]\tLoss: 0.002029, Accuracy: 100.00\n",
      "Train Epoch: 243 [17920/50000 (40%)]\tLoss: 0.002847, Accuracy: 100.00\n",
      "Train Epoch: 243 [20480/50000 (45%)]\tLoss: 0.006221, Accuracy: 99.80\n",
      "Train Epoch: 243 [23040/50000 (51%)]\tLoss: 0.005022, Accuracy: 100.00\n",
      "Train Epoch: 243 [25600/50000 (57%)]\tLoss: 0.001574, Accuracy: 100.00\n",
      "Train Epoch: 243 [28160/50000 (62%)]\tLoss: 0.001177, Accuracy: 100.00\n",
      "Train Epoch: 243 [30720/50000 (68%)]\tLoss: 0.001821, Accuracy: 100.00\n",
      "Train Epoch: 243 [33280/50000 (74%)]\tLoss: 0.004269, Accuracy: 99.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 243 [35840/50000 (80%)]\tLoss: 0.001633, Accuracy: 100.00\n",
      "Train Epoch: 243 [38400/50000 (85%)]\tLoss: 0.003022, Accuracy: 100.00\n",
      "Train Epoch: 243 [40960/50000 (91%)]\tLoss: 0.002845, Accuracy: 100.00\n",
      "Train Epoch: 243 [43520/50000 (97%)]\tLoss: 0.002239, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2885, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.0300817489624 s]\n",
      "Train Epoch: 244 [0/50000 (0%)]\tLoss: 0.001492, Accuracy: 100.00\n",
      "Train Epoch: 244 [2560/50000 (6%)]\tLoss: 0.001681, Accuracy: 100.00\n",
      "Train Epoch: 244 [5120/50000 (11%)]\tLoss: 0.001361, Accuracy: 100.00\n",
      "Train Epoch: 244 [7680/50000 (17%)]\tLoss: 0.002426, Accuracy: 100.00\n",
      "Train Epoch: 244 [10240/50000 (23%)]\tLoss: 0.002741, Accuracy: 100.00\n",
      "Train Epoch: 244 [12800/50000 (28%)]\tLoss: 0.001758, Accuracy: 100.00\n",
      "Train Epoch: 244 [15360/50000 (34%)]\tLoss: 0.002806, Accuracy: 100.00\n",
      "Train Epoch: 244 [17920/50000 (40%)]\tLoss: 0.004268, Accuracy: 100.00\n",
      "Train Epoch: 244 [20480/50000 (45%)]\tLoss: 0.001835, Accuracy: 100.00\n",
      "Train Epoch: 244 [23040/50000 (51%)]\tLoss: 0.001874, Accuracy: 100.00\n",
      "Train Epoch: 244 [25600/50000 (57%)]\tLoss: 0.002193, Accuracy: 100.00\n",
      "Train Epoch: 244 [28160/50000 (62%)]\tLoss: 0.001786, Accuracy: 100.00\n",
      "Train Epoch: 244 [30720/50000 (68%)]\tLoss: 0.001621, Accuracy: 100.00\n",
      "Train Epoch: 244 [33280/50000 (74%)]\tLoss: 0.001254, Accuracy: 100.00\n",
      "Train Epoch: 244 [35840/50000 (80%)]\tLoss: 0.001297, Accuracy: 100.00\n",
      "Train Epoch: 244 [38400/50000 (85%)]\tLoss: 0.002214, Accuracy: 100.00\n",
      "Train Epoch: 244 [40960/50000 (91%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 244 [43520/50000 (97%)]\tLoss: 0.001410, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2892, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.05551791191101 s]\n",
      "Train Epoch: 245 [0/50000 (0%)]\tLoss: 0.003958, Accuracy: 100.00\n",
      "Train Epoch: 245 [2560/50000 (6%)]\tLoss: 0.001716, Accuracy: 100.00\n",
      "Train Epoch: 245 [5120/50000 (11%)]\tLoss: 0.001688, Accuracy: 100.00\n",
      "Train Epoch: 245 [7680/50000 (17%)]\tLoss: 0.002666, Accuracy: 100.00\n",
      "Train Epoch: 245 [10240/50000 (23%)]\tLoss: 0.001805, Accuracy: 100.00\n",
      "Train Epoch: 245 [12800/50000 (28%)]\tLoss: 0.002103, Accuracy: 100.00\n",
      "Train Epoch: 245 [15360/50000 (34%)]\tLoss: 0.001918, Accuracy: 100.00\n",
      "Train Epoch: 245 [17920/50000 (40%)]\tLoss: 0.001890, Accuracy: 100.00\n",
      "Train Epoch: 245 [20480/50000 (45%)]\tLoss: 0.002506, Accuracy: 100.00\n",
      "Train Epoch: 245 [23040/50000 (51%)]\tLoss: 0.001920, Accuracy: 100.00\n",
      "Train Epoch: 245 [25600/50000 (57%)]\tLoss: 0.002824, Accuracy: 100.00\n",
      "Train Epoch: 245 [28160/50000 (62%)]\tLoss: 0.001870, Accuracy: 100.00\n",
      "Train Epoch: 245 [30720/50000 (68%)]\tLoss: 0.001923, Accuracy: 100.00\n",
      "Train Epoch: 245 [33280/50000 (74%)]\tLoss: 0.001761, Accuracy: 100.00\n",
      "Train Epoch: 245 [35840/50000 (80%)]\tLoss: 0.002032, Accuracy: 100.00\n",
      "Train Epoch: 245 [38400/50000 (85%)]\tLoss: 0.001629, Accuracy: 100.00\n",
      "Train Epoch: 245 [40960/50000 (91%)]\tLoss: 0.004468, Accuracy: 99.80\n",
      "Train Epoch: 245 [43520/50000 (97%)]\tLoss: 0.001245, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2881, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.000144958496094 s]\n",
      "Train Epoch: 246 [0/50000 (0%)]\tLoss: 0.001715, Accuracy: 100.00\n",
      "Train Epoch: 246 [2560/50000 (6%)]\tLoss: 0.001738, Accuracy: 100.00\n",
      "Train Epoch: 246 [5120/50000 (11%)]\tLoss: 0.003847, Accuracy: 99.80\n",
      "Train Epoch: 246 [7680/50000 (17%)]\tLoss: 0.002555, Accuracy: 100.00\n",
      "Train Epoch: 246 [10240/50000 (23%)]\tLoss: 0.002151, Accuracy: 100.00\n",
      "Train Epoch: 246 [12800/50000 (28%)]\tLoss: 0.001844, Accuracy: 100.00\n",
      "Train Epoch: 246 [15360/50000 (34%)]\tLoss: 0.001882, Accuracy: 100.00\n",
      "Train Epoch: 246 [17920/50000 (40%)]\tLoss: 0.001920, Accuracy: 100.00\n",
      "Train Epoch: 246 [20480/50000 (45%)]\tLoss: 0.001184, Accuracy: 100.00\n",
      "Train Epoch: 246 [23040/50000 (51%)]\tLoss: 0.003110, Accuracy: 99.80\n",
      "Train Epoch: 246 [25600/50000 (57%)]\tLoss: 0.001722, Accuracy: 100.00\n",
      "Train Epoch: 246 [28160/50000 (62%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 246 [30720/50000 (68%)]\tLoss: 0.002029, Accuracy: 100.00\n",
      "Train Epoch: 246 [33280/50000 (74%)]\tLoss: 0.003101, Accuracy: 100.00\n",
      "Train Epoch: 246 [35840/50000 (80%)]\tLoss: 0.002254, Accuracy: 100.00\n",
      "Train Epoch: 246 [38400/50000 (85%)]\tLoss: 0.002446, Accuracy: 100.00\n",
      "Train Epoch: 246 [40960/50000 (91%)]\tLoss: 0.001351, Accuracy: 100.00\n",
      "Train Epoch: 246 [43520/50000 (97%)]\tLoss: 0.002573, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2913, Accuracy: 4675/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00744271278381 s]\n",
      "Train Epoch: 247 [0/50000 (0%)]\tLoss: 0.003323, Accuracy: 100.00\n",
      "Train Epoch: 247 [2560/50000 (6%)]\tLoss: 0.001486, Accuracy: 100.00\n",
      "Train Epoch: 247 [5120/50000 (11%)]\tLoss: 0.001852, Accuracy: 100.00\n",
      "Train Epoch: 247 [7680/50000 (17%)]\tLoss: 0.001705, Accuracy: 100.00\n",
      "Train Epoch: 247 [10240/50000 (23%)]\tLoss: 0.001900, Accuracy: 100.00\n",
      "Train Epoch: 247 [12800/50000 (28%)]\tLoss: 0.001758, Accuracy: 100.00\n",
      "Train Epoch: 247 [15360/50000 (34%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 247 [17920/50000 (40%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 247 [20480/50000 (45%)]\tLoss: 0.002503, Accuracy: 100.00\n",
      "Train Epoch: 247 [23040/50000 (51%)]\tLoss: 0.003082, Accuracy: 100.00\n",
      "Train Epoch: 247 [25600/50000 (57%)]\tLoss: 0.002384, Accuracy: 100.00\n",
      "Train Epoch: 247 [28160/50000 (62%)]\tLoss: 0.004916, Accuracy: 99.80\n",
      "Train Epoch: 247 [30720/50000 (68%)]\tLoss: 0.002264, Accuracy: 100.00\n",
      "Train Epoch: 247 [33280/50000 (74%)]\tLoss: 0.001755, Accuracy: 100.00\n",
      "Train Epoch: 247 [35840/50000 (80%)]\tLoss: 0.001564, Accuracy: 100.00\n",
      "Train Epoch: 247 [38400/50000 (85%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 247 [40960/50000 (91%)]\tLoss: 0.001732, Accuracy: 100.00\n",
      "Train Epoch: 247 [43520/50000 (97%)]\tLoss: 0.001772, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2890, Accuracy: 4676/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01458954811096 s]\n",
      "Train Epoch: 248 [0/50000 (0%)]\tLoss: 0.002000, Accuracy: 100.00\n",
      "Train Epoch: 248 [2560/50000 (6%)]\tLoss: 0.002014, Accuracy: 100.00\n",
      "Train Epoch: 248 [5120/50000 (11%)]\tLoss: 0.001868, Accuracy: 100.00\n",
      "Train Epoch: 248 [7680/50000 (17%)]\tLoss: 0.001375, Accuracy: 100.00\n",
      "Train Epoch: 248 [10240/50000 (23%)]\tLoss: 0.001930, Accuracy: 100.00\n",
      "Train Epoch: 248 [12800/50000 (28%)]\tLoss: 0.002236, Accuracy: 100.00\n",
      "Train Epoch: 248 [15360/50000 (34%)]\tLoss: 0.002167, Accuracy: 100.00\n",
      "Train Epoch: 248 [17920/50000 (40%)]\tLoss: 0.001463, Accuracy: 100.00\n",
      "Train Epoch: 248 [20480/50000 (45%)]\tLoss: 0.002092, Accuracy: 100.00\n",
      "Train Epoch: 248 [23040/50000 (51%)]\tLoss: 0.002396, Accuracy: 100.00\n",
      "Train Epoch: 248 [25600/50000 (57%)]\tLoss: 0.002451, Accuracy: 100.00\n",
      "Train Epoch: 248 [28160/50000 (62%)]\tLoss: 0.002474, Accuracy: 100.00\n",
      "Train Epoch: 248 [30720/50000 (68%)]\tLoss: 0.005617, Accuracy: 99.80\n",
      "Train Epoch: 248 [33280/50000 (74%)]\tLoss: 0.002209, Accuracy: 100.00\n",
      "Train Epoch: 248 [35840/50000 (80%)]\tLoss: 0.004191, Accuracy: 99.80\n",
      "Train Epoch: 248 [38400/50000 (85%)]\tLoss: 0.001423, Accuracy: 100.00\n",
      "Train Epoch: 248 [40960/50000 (91%)]\tLoss: 0.001803, Accuracy: 100.00\n",
      "Train Epoch: 248 [43520/50000 (97%)]\tLoss: 0.001494, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2851, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.0330445766449 s]\n",
      "Train Epoch: 249 [0/50000 (0%)]\tLoss: 0.001893, Accuracy: 100.00\n",
      "Train Epoch: 249 [2560/50000 (6%)]\tLoss: 0.001909, Accuracy: 100.00\n",
      "Train Epoch: 249 [5120/50000 (11%)]\tLoss: 0.002892, Accuracy: 100.00\n",
      "Train Epoch: 249 [7680/50000 (17%)]\tLoss: 0.001429, Accuracy: 100.00\n",
      "Train Epoch: 249 [10240/50000 (23%)]\tLoss: 0.001729, Accuracy: 100.00\n",
      "Train Epoch: 249 [12800/50000 (28%)]\tLoss: 0.001752, Accuracy: 100.00\n",
      "Train Epoch: 249 [15360/50000 (34%)]\tLoss: 0.001721, Accuracy: 100.00\n",
      "Train Epoch: 249 [17920/50000 (40%)]\tLoss: 0.001336, Accuracy: 100.00\n",
      "Train Epoch: 249 [20480/50000 (45%)]\tLoss: 0.001808, Accuracy: 100.00\n",
      "Train Epoch: 249 [23040/50000 (51%)]\tLoss: 0.002448, Accuracy: 100.00\n",
      "Train Epoch: 249 [25600/50000 (57%)]\tLoss: 0.001589, Accuracy: 100.00\n",
      "Train Epoch: 249 [28160/50000 (62%)]\tLoss: 0.001447, Accuracy: 100.00\n",
      "Train Epoch: 249 [30720/50000 (68%)]\tLoss: 0.001463, Accuracy: 100.00\n",
      "Train Epoch: 249 [33280/50000 (74%)]\tLoss: 0.002320, Accuracy: 100.00\n",
      "Train Epoch: 249 [35840/50000 (80%)]\tLoss: 0.001830, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 249 [38400/50000 (85%)]\tLoss: 0.003517, Accuracy: 99.80\n",
      "Train Epoch: 249 [40960/50000 (91%)]\tLoss: 0.001562, Accuracy: 100.00\n",
      "Train Epoch: 249 [43520/50000 (97%)]\tLoss: 0.002277, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2882, Accuracy: 4675/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00910568237305 s]\n",
      "Train Epoch: 250 [0/50000 (0%)]\tLoss: 0.001451, Accuracy: 100.00\n",
      "Train Epoch: 250 [2560/50000 (6%)]\tLoss: 0.001447, Accuracy: 100.00\n",
      "Train Epoch: 250 [5120/50000 (11%)]\tLoss: 0.001720, Accuracy: 100.00\n",
      "Train Epoch: 250 [7680/50000 (17%)]\tLoss: 0.001732, Accuracy: 100.00\n",
      "Train Epoch: 250 [10240/50000 (23%)]\tLoss: 0.002121, Accuracy: 100.00\n",
      "Train Epoch: 250 [12800/50000 (28%)]\tLoss: 0.001776, Accuracy: 100.00\n",
      "Train Epoch: 250 [15360/50000 (34%)]\tLoss: 0.001664, Accuracy: 100.00\n",
      "Train Epoch: 250 [17920/50000 (40%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "Train Epoch: 250 [20480/50000 (45%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 250 [23040/50000 (51%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "Train Epoch: 250 [25600/50000 (57%)]\tLoss: 0.004154, Accuracy: 100.00\n",
      "Train Epoch: 250 [28160/50000 (62%)]\tLoss: 0.002239, Accuracy: 100.00\n",
      "Train Epoch: 250 [30720/50000 (68%)]\tLoss: 0.003019, Accuracy: 100.00\n",
      "Train Epoch: 250 [33280/50000 (74%)]\tLoss: 0.001709, Accuracy: 100.00\n",
      "Train Epoch: 250 [35840/50000 (80%)]\tLoss: 0.001450, Accuracy: 100.00\n",
      "Train Epoch: 250 [38400/50000 (85%)]\tLoss: 0.002104, Accuracy: 100.00\n",
      "Train Epoch: 250 [40960/50000 (91%)]\tLoss: 0.001327, Accuracy: 100.00\n",
      "Train Epoch: 250 [43520/50000 (97%)]\tLoss: 0.002935, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2877, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.9975802898407 s]\n",
      "\n",
      "Test set: Average loss: 0.3231, Accuracy: 9310/10000 (93.10%)\n",
      "\n",
      "Train Epoch: 251 [0/50000 (0%)]\tLoss: 0.002659, Accuracy: 100.00\n",
      "Train Epoch: 251 [2560/50000 (6%)]\tLoss: 0.001681, Accuracy: 100.00\n",
      "Train Epoch: 251 [5120/50000 (11%)]\tLoss: 0.001822, Accuracy: 100.00\n",
      "Train Epoch: 251 [7680/50000 (17%)]\tLoss: 0.002047, Accuracy: 100.00\n",
      "Train Epoch: 251 [10240/50000 (23%)]\tLoss: 0.001912, Accuracy: 100.00\n",
      "Train Epoch: 251 [12800/50000 (28%)]\tLoss: 0.001791, Accuracy: 100.00\n",
      "Train Epoch: 251 [15360/50000 (34%)]\tLoss: 0.001959, Accuracy: 100.00\n",
      "Train Epoch: 251 [17920/50000 (40%)]\tLoss: 0.003406, Accuracy: 100.00\n",
      "Train Epoch: 251 [20480/50000 (45%)]\tLoss: 0.001721, Accuracy: 100.00\n",
      "Train Epoch: 251 [23040/50000 (51%)]\tLoss: 0.001625, Accuracy: 100.00\n",
      "Train Epoch: 251 [25600/50000 (57%)]\tLoss: 0.001969, Accuracy: 100.00\n",
      "Train Epoch: 251 [28160/50000 (62%)]\tLoss: 0.003065, Accuracy: 99.80\n",
      "Train Epoch: 251 [30720/50000 (68%)]\tLoss: 0.002744, Accuracy: 100.00\n",
      "Train Epoch: 251 [33280/50000 (74%)]\tLoss: 0.002214, Accuracy: 100.00\n",
      "Train Epoch: 251 [35840/50000 (80%)]\tLoss: 0.001485, Accuracy: 100.00\n",
      "Train Epoch: 251 [38400/50000 (85%)]\tLoss: 0.001631, Accuracy: 100.00\n",
      "Train Epoch: 251 [40960/50000 (91%)]\tLoss: 0.001948, Accuracy: 100.00\n",
      "Train Epoch: 251 [43520/50000 (97%)]\tLoss: 0.001879, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2892, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.85336685180664 s]\n",
      "Train Epoch: 252 [0/50000 (0%)]\tLoss: 0.001626, Accuracy: 100.00\n",
      "Train Epoch: 252 [2560/50000 (6%)]\tLoss: 0.003308, Accuracy: 99.80\n",
      "Train Epoch: 252 [5120/50000 (11%)]\tLoss: 0.003840, Accuracy: 99.80\n",
      "Train Epoch: 252 [7680/50000 (17%)]\tLoss: 0.001857, Accuracy: 100.00\n",
      "Train Epoch: 252 [10240/50000 (23%)]\tLoss: 0.001844, Accuracy: 100.00\n",
      "Train Epoch: 252 [12800/50000 (28%)]\tLoss: 0.003061, Accuracy: 100.00\n",
      "Train Epoch: 252 [15360/50000 (34%)]\tLoss: 0.003843, Accuracy: 100.00\n",
      "Train Epoch: 252 [17920/50000 (40%)]\tLoss: 0.001857, Accuracy: 100.00\n",
      "Train Epoch: 252 [20480/50000 (45%)]\tLoss: 0.001724, Accuracy: 100.00\n",
      "Train Epoch: 252 [23040/50000 (51%)]\tLoss: 0.002538, Accuracy: 100.00\n",
      "Train Epoch: 252 [25600/50000 (57%)]\tLoss: 0.002012, Accuracy: 100.00\n",
      "Train Epoch: 252 [28160/50000 (62%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 252 [30720/50000 (68%)]\tLoss: 0.001373, Accuracy: 100.00\n",
      "Train Epoch: 252 [33280/50000 (74%)]\tLoss: 0.002224, Accuracy: 100.00\n",
      "Train Epoch: 252 [35840/50000 (80%)]\tLoss: 0.001952, Accuracy: 100.00\n",
      "Train Epoch: 252 [38400/50000 (85%)]\tLoss: 0.001845, Accuracy: 100.00\n",
      "Train Epoch: 252 [40960/50000 (91%)]\tLoss: 0.002087, Accuracy: 100.00\n",
      "Train Epoch: 252 [43520/50000 (97%)]\tLoss: 0.001987, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2900, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.012869119644165 s]\n",
      "Train Epoch: 253 [0/50000 (0%)]\tLoss: 0.004313, Accuracy: 99.80\n",
      "Train Epoch: 253 [2560/50000 (6%)]\tLoss: 0.003600, Accuracy: 99.80\n",
      "Train Epoch: 253 [5120/50000 (11%)]\tLoss: 0.001954, Accuracy: 100.00\n",
      "Train Epoch: 253 [7680/50000 (17%)]\tLoss: 0.002016, Accuracy: 100.00\n",
      "Train Epoch: 253 [10240/50000 (23%)]\tLoss: 0.001715, Accuracy: 100.00\n",
      "Train Epoch: 253 [12800/50000 (28%)]\tLoss: 0.002065, Accuracy: 100.00\n",
      "Train Epoch: 253 [15360/50000 (34%)]\tLoss: 0.001496, Accuracy: 100.00\n",
      "Train Epoch: 253 [17920/50000 (40%)]\tLoss: 0.002254, Accuracy: 100.00\n",
      "Train Epoch: 253 [20480/50000 (45%)]\tLoss: 0.001481, Accuracy: 100.00\n",
      "Train Epoch: 253 [23040/50000 (51%)]\tLoss: 0.001478, Accuracy: 100.00\n",
      "Train Epoch: 253 [25600/50000 (57%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "Train Epoch: 253 [28160/50000 (62%)]\tLoss: 0.001635, Accuracy: 100.00\n",
      "Train Epoch: 253 [30720/50000 (68%)]\tLoss: 0.001468, Accuracy: 100.00\n",
      "Train Epoch: 253 [33280/50000 (74%)]\tLoss: 0.001616, Accuracy: 100.00\n",
      "Train Epoch: 253 [35840/50000 (80%)]\tLoss: 0.001373, Accuracy: 100.00\n",
      "Train Epoch: 253 [38400/50000 (85%)]\tLoss: 0.001552, Accuracy: 100.00\n",
      "Train Epoch: 253 [40960/50000 (91%)]\tLoss: 0.001267, Accuracy: 100.00\n",
      "Train Epoch: 253 [43520/50000 (97%)]\tLoss: 0.002380, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2895, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.015103340148926 s]\n",
      "Train Epoch: 254 [0/50000 (0%)]\tLoss: 0.002286, Accuracy: 100.00\n",
      "Train Epoch: 254 [2560/50000 (6%)]\tLoss: 0.002492, Accuracy: 100.00\n",
      "Train Epoch: 254 [5120/50000 (11%)]\tLoss: 0.002031, Accuracy: 100.00\n",
      "Train Epoch: 254 [7680/50000 (17%)]\tLoss: 0.001932, Accuracy: 100.00\n",
      "Train Epoch: 254 [10240/50000 (23%)]\tLoss: 0.001903, Accuracy: 100.00\n",
      "Train Epoch: 254 [12800/50000 (28%)]\tLoss: 0.002542, Accuracy: 100.00\n",
      "Train Epoch: 254 [15360/50000 (34%)]\tLoss: 0.001478, Accuracy: 100.00\n",
      "Train Epoch: 254 [17920/50000 (40%)]\tLoss: 0.001613, Accuracy: 100.00\n",
      "Train Epoch: 254 [20480/50000 (45%)]\tLoss: 0.001374, Accuracy: 100.00\n",
      "Train Epoch: 254 [23040/50000 (51%)]\tLoss: 0.002054, Accuracy: 100.00\n",
      "Train Epoch: 254 [25600/50000 (57%)]\tLoss: 0.001610, Accuracy: 100.00\n",
      "Train Epoch: 254 [28160/50000 (62%)]\tLoss: 0.001538, Accuracy: 100.00\n",
      "Train Epoch: 254 [30720/50000 (68%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 254 [33280/50000 (74%)]\tLoss: 0.001520, Accuracy: 100.00\n",
      "Train Epoch: 254 [35840/50000 (80%)]\tLoss: 0.001857, Accuracy: 100.00\n",
      "Train Epoch: 254 [38400/50000 (85%)]\tLoss: 0.001740, Accuracy: 100.00\n",
      "Train Epoch: 254 [40960/50000 (91%)]\tLoss: 0.002822, Accuracy: 100.00\n",
      "Train Epoch: 254 [43520/50000 (97%)]\tLoss: 0.002514, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2884, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00584554672241 s]\n",
      "Train Epoch: 255 [0/50000 (0%)]\tLoss: 0.002645, Accuracy: 100.00\n",
      "Train Epoch: 255 [2560/50000 (6%)]\tLoss: 0.001835, Accuracy: 100.00\n",
      "Train Epoch: 255 [5120/50000 (11%)]\tLoss: 0.001403, Accuracy: 100.00\n",
      "Train Epoch: 255 [7680/50000 (17%)]\tLoss: 0.002151, Accuracy: 100.00\n",
      "Train Epoch: 255 [10240/50000 (23%)]\tLoss: 0.001783, Accuracy: 100.00\n",
      "Train Epoch: 255 [12800/50000 (28%)]\tLoss: 0.002044, Accuracy: 100.00\n",
      "Train Epoch: 255 [15360/50000 (34%)]\tLoss: 0.001445, Accuracy: 100.00\n",
      "Train Epoch: 255 [17920/50000 (40%)]\tLoss: 0.002014, Accuracy: 100.00\n",
      "Train Epoch: 255 [20480/50000 (45%)]\tLoss: 0.001485, Accuracy: 100.00\n",
      "Train Epoch: 255 [23040/50000 (51%)]\tLoss: 0.002197, Accuracy: 100.00\n",
      "Train Epoch: 255 [25600/50000 (57%)]\tLoss: 0.002160, Accuracy: 100.00\n",
      "Train Epoch: 255 [28160/50000 (62%)]\tLoss: 0.001924, Accuracy: 100.00\n",
      "Train Epoch: 255 [30720/50000 (68%)]\tLoss: 0.002154, Accuracy: 100.00\n",
      "Train Epoch: 255 [33280/50000 (74%)]\tLoss: 0.002327, Accuracy: 100.00\n",
      "Train Epoch: 255 [35840/50000 (80%)]\tLoss: 0.001311, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 255 [38400/50000 (85%)]\tLoss: 0.001551, Accuracy: 100.00\n",
      "Train Epoch: 255 [40960/50000 (91%)]\tLoss: 0.001454, Accuracy: 100.00\n",
      "Train Epoch: 255 [43520/50000 (97%)]\tLoss: 0.011518, Accuracy: 99.61\n",
      "\n",
      "Validation set: Average loss: 0.2875, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.02682065963745 s]\n",
      "Train Epoch: 256 [0/50000 (0%)]\tLoss: 0.001983, Accuracy: 100.00\n",
      "Train Epoch: 256 [2560/50000 (6%)]\tLoss: 0.001768, Accuracy: 100.00\n",
      "Train Epoch: 256 [5120/50000 (11%)]\tLoss: 0.001853, Accuracy: 100.00\n",
      "Train Epoch: 256 [7680/50000 (17%)]\tLoss: 0.001394, Accuracy: 100.00\n",
      "Train Epoch: 256 [10240/50000 (23%)]\tLoss: 0.001798, Accuracy: 100.00\n",
      "Train Epoch: 256 [12800/50000 (28%)]\tLoss: 0.003970, Accuracy: 100.00\n",
      "Train Epoch: 256 [15360/50000 (34%)]\tLoss: 0.002146, Accuracy: 100.00\n",
      "Train Epoch: 256 [17920/50000 (40%)]\tLoss: 0.002041, Accuracy: 100.00\n",
      "Train Epoch: 256 [20480/50000 (45%)]\tLoss: 0.001868, Accuracy: 100.00\n",
      "Train Epoch: 256 [23040/50000 (51%)]\tLoss: 0.002600, Accuracy: 100.00\n",
      "Train Epoch: 256 [25600/50000 (57%)]\tLoss: 0.001903, Accuracy: 100.00\n",
      "Train Epoch: 256 [28160/50000 (62%)]\tLoss: 0.001533, Accuracy: 100.00\n",
      "Train Epoch: 256 [30720/50000 (68%)]\tLoss: 0.001559, Accuracy: 100.00\n",
      "Train Epoch: 256 [33280/50000 (74%)]\tLoss: 0.001565, Accuracy: 100.00\n",
      "Train Epoch: 256 [35840/50000 (80%)]\tLoss: 0.001707, Accuracy: 100.00\n",
      "Train Epoch: 256 [38400/50000 (85%)]\tLoss: 0.003607, Accuracy: 100.00\n",
      "Train Epoch: 256 [40960/50000 (91%)]\tLoss: 0.001564, Accuracy: 100.00\n",
      "Train Epoch: 256 [43520/50000 (97%)]\tLoss: 0.001574, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2900, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.04814291000366 s]\n",
      "Train Epoch: 257 [0/50000 (0%)]\tLoss: 0.002635, Accuracy: 100.00\n",
      "Train Epoch: 257 [2560/50000 (6%)]\tLoss: 0.001956, Accuracy: 100.00\n",
      "Train Epoch: 257 [5120/50000 (11%)]\tLoss: 0.001735, Accuracy: 100.00\n",
      "Train Epoch: 257 [7680/50000 (17%)]\tLoss: 0.001669, Accuracy: 100.00\n",
      "Train Epoch: 257 [10240/50000 (23%)]\tLoss: 0.001574, Accuracy: 100.00\n",
      "Train Epoch: 257 [12800/50000 (28%)]\tLoss: 0.001368, Accuracy: 100.00\n",
      "Train Epoch: 257 [15360/50000 (34%)]\tLoss: 0.001438, Accuracy: 100.00\n",
      "Train Epoch: 257 [17920/50000 (40%)]\tLoss: 0.001368, Accuracy: 100.00\n",
      "Train Epoch: 257 [20480/50000 (45%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 257 [23040/50000 (51%)]\tLoss: 0.002073, Accuracy: 100.00\n",
      "Train Epoch: 257 [25600/50000 (57%)]\tLoss: 0.001716, Accuracy: 100.00\n",
      "Train Epoch: 257 [28160/50000 (62%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 257 [30720/50000 (68%)]\tLoss: 0.001401, Accuracy: 100.00\n",
      "Train Epoch: 257 [33280/50000 (74%)]\tLoss: 0.001591, Accuracy: 100.00\n",
      "Train Epoch: 257 [35840/50000 (80%)]\tLoss: 0.001917, Accuracy: 100.00\n",
      "Train Epoch: 257 [38400/50000 (85%)]\tLoss: 0.001901, Accuracy: 100.00\n",
      "Train Epoch: 257 [40960/50000 (91%)]\tLoss: 0.001889, Accuracy: 100.00\n",
      "Train Epoch: 257 [43520/50000 (97%)]\tLoss: 0.001654, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2887, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00338077545166 s]\n",
      "Train Epoch: 258 [0/50000 (0%)]\tLoss: 0.002634, Accuracy: 100.00\n",
      "Train Epoch: 258 [2560/50000 (6%)]\tLoss: 0.001889, Accuracy: 100.00\n",
      "Train Epoch: 258 [5120/50000 (11%)]\tLoss: 0.002983, Accuracy: 100.00\n",
      "Train Epoch: 258 [7680/50000 (17%)]\tLoss: 0.001700, Accuracy: 100.00\n",
      "Train Epoch: 258 [10240/50000 (23%)]\tLoss: 0.001591, Accuracy: 100.00\n",
      "Train Epoch: 258 [12800/50000 (28%)]\tLoss: 0.002167, Accuracy: 100.00\n",
      "Train Epoch: 258 [15360/50000 (34%)]\tLoss: 0.003474, Accuracy: 99.80\n",
      "Train Epoch: 258 [17920/50000 (40%)]\tLoss: 0.002241, Accuracy: 100.00\n",
      "Train Epoch: 258 [20480/50000 (45%)]\tLoss: 0.003727, Accuracy: 99.80\n",
      "Train Epoch: 258 [23040/50000 (51%)]\tLoss: 0.001632, Accuracy: 100.00\n",
      "Train Epoch: 258 [25600/50000 (57%)]\tLoss: 0.001775, Accuracy: 100.00\n",
      "Train Epoch: 258 [28160/50000 (62%)]\tLoss: 0.001319, Accuracy: 100.00\n",
      "Train Epoch: 258 [30720/50000 (68%)]\tLoss: 0.003279, Accuracy: 100.00\n",
      "Train Epoch: 258 [33280/50000 (74%)]\tLoss: 0.001747, Accuracy: 100.00\n",
      "Train Epoch: 258 [35840/50000 (80%)]\tLoss: 0.001835, Accuracy: 100.00\n",
      "Train Epoch: 258 [38400/50000 (85%)]\tLoss: 0.001526, Accuracy: 100.00\n",
      "Train Epoch: 258 [40960/50000 (91%)]\tLoss: 0.002061, Accuracy: 100.00\n",
      "Train Epoch: 258 [43520/50000 (97%)]\tLoss: 0.001641, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2886, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.05111598968506 s]\n",
      "Train Epoch: 259 [0/50000 (0%)]\tLoss: 0.002379, Accuracy: 100.00\n",
      "Train Epoch: 259 [2560/50000 (6%)]\tLoss: 0.001445, Accuracy: 100.00\n",
      "Train Epoch: 259 [5120/50000 (11%)]\tLoss: 0.002262, Accuracy: 100.00\n",
      "Train Epoch: 259 [7680/50000 (17%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 259 [10240/50000 (23%)]\tLoss: 0.001569, Accuracy: 100.00\n",
      "Train Epoch: 259 [12800/50000 (28%)]\tLoss: 0.001515, Accuracy: 100.00\n",
      "Train Epoch: 259 [15360/50000 (34%)]\tLoss: 0.001705, Accuracy: 100.00\n",
      "Train Epoch: 259 [17920/50000 (40%)]\tLoss: 0.001603, Accuracy: 100.00\n",
      "Train Epoch: 259 [20480/50000 (45%)]\tLoss: 0.001779, Accuracy: 100.00\n",
      "Train Epoch: 259 [23040/50000 (51%)]\tLoss: 0.002488, Accuracy: 100.00\n",
      "Train Epoch: 259 [25600/50000 (57%)]\tLoss: 0.002466, Accuracy: 100.00\n",
      "Train Epoch: 259 [28160/50000 (62%)]\tLoss: 0.001527, Accuracy: 100.00\n",
      "Train Epoch: 259 [30720/50000 (68%)]\tLoss: 0.001341, Accuracy: 100.00\n",
      "Train Epoch: 259 [33280/50000 (74%)]\tLoss: 0.001482, Accuracy: 100.00\n",
      "Train Epoch: 259 [35840/50000 (80%)]\tLoss: 0.003115, Accuracy: 100.00\n",
      "Train Epoch: 259 [38400/50000 (85%)]\tLoss: 0.001706, Accuracy: 100.00\n",
      "Train Epoch: 259 [40960/50000 (91%)]\tLoss: 0.001520, Accuracy: 100.00\n",
      "Train Epoch: 259 [43520/50000 (97%)]\tLoss: 0.002156, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2880, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.965058088302612 s]\n",
      "Train Epoch: 260 [0/50000 (0%)]\tLoss: 0.003876, Accuracy: 99.80\n",
      "Train Epoch: 260 [2560/50000 (6%)]\tLoss: 0.001657, Accuracy: 100.00\n",
      "Train Epoch: 260 [5120/50000 (11%)]\tLoss: 0.002570, Accuracy: 100.00\n",
      "Train Epoch: 260 [7680/50000 (17%)]\tLoss: 0.001724, Accuracy: 100.00\n",
      "Train Epoch: 260 [10240/50000 (23%)]\tLoss: 0.002030, Accuracy: 100.00\n",
      "Train Epoch: 260 [12800/50000 (28%)]\tLoss: 0.002523, Accuracy: 100.00\n",
      "Train Epoch: 260 [15360/50000 (34%)]\tLoss: 0.002050, Accuracy: 100.00\n",
      "Train Epoch: 260 [17920/50000 (40%)]\tLoss: 0.004550, Accuracy: 99.80\n",
      "Train Epoch: 260 [20480/50000 (45%)]\tLoss: 0.001690, Accuracy: 100.00\n",
      "Train Epoch: 260 [23040/50000 (51%)]\tLoss: 0.002035, Accuracy: 100.00\n",
      "Train Epoch: 260 [25600/50000 (57%)]\tLoss: 0.002888, Accuracy: 100.00\n",
      "Train Epoch: 260 [28160/50000 (62%)]\tLoss: 0.004388, Accuracy: 99.80\n",
      "Train Epoch: 260 [30720/50000 (68%)]\tLoss: 0.001800, Accuracy: 100.00\n",
      "Train Epoch: 260 [33280/50000 (74%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 260 [35840/50000 (80%)]\tLoss: 0.001802, Accuracy: 100.00\n",
      "Train Epoch: 260 [38400/50000 (85%)]\tLoss: 0.001780, Accuracy: 100.00\n",
      "Train Epoch: 260 [40960/50000 (91%)]\tLoss: 0.002033, Accuracy: 100.00\n",
      "Train Epoch: 260 [43520/50000 (97%)]\tLoss: 0.002018, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2866, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.978274822235107 s]\n",
      "\n",
      "Test set: Average loss: 0.3204, Accuracy: 9325/10000 (93.25%)\n",
      "\n",
      "Train Epoch: 261 [0/50000 (0%)]\tLoss: 0.002524, Accuracy: 100.00\n",
      "Train Epoch: 261 [2560/50000 (6%)]\tLoss: 0.001729, Accuracy: 100.00\n",
      "Train Epoch: 261 [5120/50000 (11%)]\tLoss: 0.002278, Accuracy: 100.00\n",
      "Train Epoch: 261 [7680/50000 (17%)]\tLoss: 0.001191, Accuracy: 100.00\n",
      "Train Epoch: 261 [10240/50000 (23%)]\tLoss: 0.001270, Accuracy: 100.00\n",
      "Train Epoch: 261 [12800/50000 (28%)]\tLoss: 0.001723, Accuracy: 100.00\n",
      "Train Epoch: 261 [15360/50000 (34%)]\tLoss: 0.002163, Accuracy: 100.00\n",
      "Train Epoch: 261 [17920/50000 (40%)]\tLoss: 0.002057, Accuracy: 100.00\n",
      "Train Epoch: 261 [20480/50000 (45%)]\tLoss: 0.002267, Accuracy: 100.00\n",
      "Train Epoch: 261 [23040/50000 (51%)]\tLoss: 0.001506, Accuracy: 100.00\n",
      "Train Epoch: 261 [25600/50000 (57%)]\tLoss: 0.002310, Accuracy: 100.00\n",
      "Train Epoch: 261 [28160/50000 (62%)]\tLoss: 0.002498, Accuracy: 100.00\n",
      "Train Epoch: 261 [30720/50000 (68%)]\tLoss: 0.001573, Accuracy: 100.00\n",
      "Train Epoch: 261 [33280/50000 (74%)]\tLoss: 0.001888, Accuracy: 100.00\n",
      "Train Epoch: 261 [35840/50000 (80%)]\tLoss: 0.001324, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 261 [38400/50000 (85%)]\tLoss: 0.001412, Accuracy: 100.00\n",
      "Train Epoch: 261 [40960/50000 (91%)]\tLoss: 0.001463, Accuracy: 100.00\n",
      "Train Epoch: 261 [43520/50000 (97%)]\tLoss: 0.001924, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2889, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.83654975891113 s]\n",
      "Train Epoch: 262 [0/50000 (0%)]\tLoss: 0.002007, Accuracy: 100.00\n",
      "Train Epoch: 262 [2560/50000 (6%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "Train Epoch: 262 [5120/50000 (11%)]\tLoss: 0.001962, Accuracy: 100.00\n",
      "Train Epoch: 262 [7680/50000 (17%)]\tLoss: 0.001291, Accuracy: 100.00\n",
      "Train Epoch: 262 [10240/50000 (23%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 262 [12800/50000 (28%)]\tLoss: 0.002335, Accuracy: 100.00\n",
      "Train Epoch: 262 [15360/50000 (34%)]\tLoss: 0.001722, Accuracy: 100.00\n",
      "Train Epoch: 262 [17920/50000 (40%)]\tLoss: 0.001701, Accuracy: 100.00\n",
      "Train Epoch: 262 [20480/50000 (45%)]\tLoss: 0.001643, Accuracy: 100.00\n",
      "Train Epoch: 262 [23040/50000 (51%)]\tLoss: 0.001526, Accuracy: 100.00\n",
      "Train Epoch: 262 [25600/50000 (57%)]\tLoss: 0.001777, Accuracy: 100.00\n",
      "Train Epoch: 262 [28160/50000 (62%)]\tLoss: 0.001472, Accuracy: 100.00\n",
      "Train Epoch: 262 [30720/50000 (68%)]\tLoss: 0.001745, Accuracy: 100.00\n",
      "Train Epoch: 262 [33280/50000 (74%)]\tLoss: 0.001920, Accuracy: 100.00\n",
      "Train Epoch: 262 [35840/50000 (80%)]\tLoss: 0.002064, Accuracy: 100.00\n",
      "Train Epoch: 262 [38400/50000 (85%)]\tLoss: 0.001296, Accuracy: 100.00\n",
      "Train Epoch: 262 [40960/50000 (91%)]\tLoss: 0.003056, Accuracy: 100.00\n",
      "Train Epoch: 262 [43520/50000 (97%)]\tLoss: 0.002029, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2884, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.05551362037659 s]\n",
      "Train Epoch: 263 [0/50000 (0%)]\tLoss: 0.001712, Accuracy: 100.00\n",
      "Train Epoch: 263 [2560/50000 (6%)]\tLoss: 0.001955, Accuracy: 100.00\n",
      "Train Epoch: 263 [5120/50000 (11%)]\tLoss: 0.001567, Accuracy: 100.00\n",
      "Train Epoch: 263 [7680/50000 (17%)]\tLoss: 0.001685, Accuracy: 100.00\n",
      "Train Epoch: 263 [10240/50000 (23%)]\tLoss: 0.001631, Accuracy: 100.00\n",
      "Train Epoch: 263 [12800/50000 (28%)]\tLoss: 0.001915, Accuracy: 100.00\n",
      "Train Epoch: 263 [15360/50000 (34%)]\tLoss: 0.002134, Accuracy: 100.00\n",
      "Train Epoch: 263 [17920/50000 (40%)]\tLoss: 0.003378, Accuracy: 100.00\n",
      "Train Epoch: 263 [20480/50000 (45%)]\tLoss: 0.002174, Accuracy: 100.00\n",
      "Train Epoch: 263 [23040/50000 (51%)]\tLoss: 0.001668, Accuracy: 100.00\n",
      "Train Epoch: 263 [25600/50000 (57%)]\tLoss: 0.001296, Accuracy: 100.00\n",
      "Train Epoch: 263 [28160/50000 (62%)]\tLoss: 0.001519, Accuracy: 100.00\n",
      "Train Epoch: 263 [30720/50000 (68%)]\tLoss: 0.001270, Accuracy: 100.00\n",
      "Train Epoch: 263 [33280/50000 (74%)]\tLoss: 0.001662, Accuracy: 100.00\n",
      "Train Epoch: 263 [35840/50000 (80%)]\tLoss: 0.001315, Accuracy: 100.00\n",
      "Train Epoch: 263 [38400/50000 (85%)]\tLoss: 0.001310, Accuracy: 100.00\n",
      "Train Epoch: 263 [40960/50000 (91%)]\tLoss: 0.003932, Accuracy: 99.80\n",
      "Train Epoch: 263 [43520/50000 (97%)]\tLoss: 0.001841, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2890, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.999237775802612 s]\n",
      "Train Epoch: 264 [0/50000 (0%)]\tLoss: 0.002600, Accuracy: 100.00\n",
      "Train Epoch: 264 [2560/50000 (6%)]\tLoss: 0.001542, Accuracy: 100.00\n",
      "Train Epoch: 264 [5120/50000 (11%)]\tLoss: 0.001914, Accuracy: 100.00\n",
      "Train Epoch: 264 [7680/50000 (17%)]\tLoss: 0.002421, Accuracy: 100.00\n",
      "Train Epoch: 264 [10240/50000 (23%)]\tLoss: 0.002229, Accuracy: 100.00\n",
      "Train Epoch: 264 [12800/50000 (28%)]\tLoss: 0.002512, Accuracy: 100.00\n",
      "Train Epoch: 264 [15360/50000 (34%)]\tLoss: 0.001822, Accuracy: 100.00\n",
      "Train Epoch: 264 [17920/50000 (40%)]\tLoss: 0.002385, Accuracy: 100.00\n",
      "Train Epoch: 264 [20480/50000 (45%)]\tLoss: 0.002992, Accuracy: 100.00\n",
      "Train Epoch: 264 [23040/50000 (51%)]\tLoss: 0.002651, Accuracy: 100.00\n",
      "Train Epoch: 264 [25600/50000 (57%)]\tLoss: 0.001672, Accuracy: 100.00\n",
      "Train Epoch: 264 [28160/50000 (62%)]\tLoss: 0.001413, Accuracy: 100.00\n",
      "Train Epoch: 264 [30720/50000 (68%)]\tLoss: 0.002196, Accuracy: 100.00\n",
      "Train Epoch: 264 [33280/50000 (74%)]\tLoss: 0.001581, Accuracy: 100.00\n",
      "Train Epoch: 264 [35840/50000 (80%)]\tLoss: 0.001991, Accuracy: 100.00\n",
      "Train Epoch: 264 [38400/50000 (85%)]\tLoss: 0.001330, Accuracy: 100.00\n",
      "Train Epoch: 264 [40960/50000 (91%)]\tLoss: 0.001905, Accuracy: 100.00\n",
      "Train Epoch: 264 [43520/50000 (97%)]\tLoss: 0.003245, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2877, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.995851755142212 s]\n",
      "Train Epoch: 265 [0/50000 (0%)]\tLoss: 0.001825, Accuracy: 100.00\n",
      "Train Epoch: 265 [2560/50000 (6%)]\tLoss: 0.002645, Accuracy: 100.00\n",
      "Train Epoch: 265 [5120/50000 (11%)]\tLoss: 0.001868, Accuracy: 100.00\n",
      "Train Epoch: 265 [7680/50000 (17%)]\tLoss: 0.001239, Accuracy: 100.00\n",
      "Train Epoch: 265 [10240/50000 (23%)]\tLoss: 0.002660, Accuracy: 100.00\n",
      "Train Epoch: 265 [12800/50000 (28%)]\tLoss: 0.002304, Accuracy: 100.00\n",
      "Train Epoch: 265 [15360/50000 (34%)]\tLoss: 0.001921, Accuracy: 100.00\n",
      "Train Epoch: 265 [17920/50000 (40%)]\tLoss: 0.001609, Accuracy: 100.00\n",
      "Train Epoch: 265 [20480/50000 (45%)]\tLoss: 0.002514, Accuracy: 100.00\n",
      "Train Epoch: 265 [23040/50000 (51%)]\tLoss: 0.001925, Accuracy: 100.00\n",
      "Train Epoch: 265 [25600/50000 (57%)]\tLoss: 0.001732, Accuracy: 100.00\n",
      "Train Epoch: 265 [28160/50000 (62%)]\tLoss: 0.001403, Accuracy: 100.00\n",
      "Train Epoch: 265 [30720/50000 (68%)]\tLoss: 0.002187, Accuracy: 100.00\n",
      "Train Epoch: 265 [33280/50000 (74%)]\tLoss: 0.001859, Accuracy: 100.00\n",
      "Train Epoch: 265 [35840/50000 (80%)]\tLoss: 0.002315, Accuracy: 100.00\n",
      "Train Epoch: 265 [38400/50000 (85%)]\tLoss: 0.002224, Accuracy: 100.00\n",
      "Train Epoch: 265 [40960/50000 (91%)]\tLoss: 0.001812, Accuracy: 100.00\n",
      "Train Epoch: 265 [43520/50000 (97%)]\tLoss: 0.001561, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2864, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.04400992393494 s]\n",
      "Train Epoch: 266 [0/50000 (0%)]\tLoss: 0.001430, Accuracy: 100.00\n",
      "Train Epoch: 266 [2560/50000 (6%)]\tLoss: 0.001840, Accuracy: 100.00\n",
      "Train Epoch: 266 [5120/50000 (11%)]\tLoss: 0.001948, Accuracy: 100.00\n",
      "Train Epoch: 266 [7680/50000 (17%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 266 [10240/50000 (23%)]\tLoss: 0.001775, Accuracy: 100.00\n",
      "Train Epoch: 266 [12800/50000 (28%)]\tLoss: 0.001837, Accuracy: 100.00\n",
      "Train Epoch: 266 [15360/50000 (34%)]\tLoss: 0.001618, Accuracy: 100.00\n",
      "Train Epoch: 266 [17920/50000 (40%)]\tLoss: 0.002235, Accuracy: 100.00\n",
      "Train Epoch: 266 [20480/50000 (45%)]\tLoss: 0.001178, Accuracy: 100.00\n",
      "Train Epoch: 266 [23040/50000 (51%)]\tLoss: 0.002117, Accuracy: 100.00\n",
      "Train Epoch: 266 [25600/50000 (57%)]\tLoss: 0.002316, Accuracy: 100.00\n",
      "Train Epoch: 266 [28160/50000 (62%)]\tLoss: 0.001702, Accuracy: 100.00\n",
      "Train Epoch: 266 [30720/50000 (68%)]\tLoss: 0.001341, Accuracy: 100.00\n",
      "Train Epoch: 266 [33280/50000 (74%)]\tLoss: 0.002295, Accuracy: 100.00\n",
      "Train Epoch: 266 [35840/50000 (80%)]\tLoss: 0.001654, Accuracy: 100.00\n",
      "Train Epoch: 266 [38400/50000 (85%)]\tLoss: 0.001901, Accuracy: 100.00\n",
      "Train Epoch: 266 [40960/50000 (91%)]\tLoss: 0.002392, Accuracy: 100.00\n",
      "Train Epoch: 266 [43520/50000 (97%)]\tLoss: 0.001550, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2886, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.846302270889282 s]\n",
      "Train Epoch: 267 [0/50000 (0%)]\tLoss: 0.001782, Accuracy: 100.00\n",
      "Train Epoch: 267 [2560/50000 (6%)]\tLoss: 0.001592, Accuracy: 100.00\n",
      "Train Epoch: 267 [5120/50000 (11%)]\tLoss: 0.002448, Accuracy: 100.00\n",
      "Train Epoch: 267 [7680/50000 (17%)]\tLoss: 0.001944, Accuracy: 100.00\n",
      "Train Epoch: 267 [10240/50000 (23%)]\tLoss: 0.002191, Accuracy: 100.00\n",
      "Train Epoch: 267 [12800/50000 (28%)]\tLoss: 0.001950, Accuracy: 100.00\n",
      "Train Epoch: 267 [15360/50000 (34%)]\tLoss: 0.002222, Accuracy: 100.00\n",
      "Train Epoch: 267 [17920/50000 (40%)]\tLoss: 0.002990, Accuracy: 100.00\n",
      "Train Epoch: 267 [20480/50000 (45%)]\tLoss: 0.002596, Accuracy: 100.00\n",
      "Train Epoch: 267 [23040/50000 (51%)]\tLoss: 0.002322, Accuracy: 100.00\n",
      "Train Epoch: 267 [25600/50000 (57%)]\tLoss: 0.001449, Accuracy: 100.00\n",
      "Train Epoch: 267 [28160/50000 (62%)]\tLoss: 0.001493, Accuracy: 100.00\n",
      "Train Epoch: 267 [30720/50000 (68%)]\tLoss: 0.001845, Accuracy: 100.00\n",
      "Train Epoch: 267 [33280/50000 (74%)]\tLoss: 0.001638, Accuracy: 100.00\n",
      "Train Epoch: 267 [35840/50000 (80%)]\tLoss: 0.001305, Accuracy: 100.00\n",
      "Train Epoch: 267 [38400/50000 (85%)]\tLoss: 0.001785, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 267 [40960/50000 (91%)]\tLoss: 0.001761, Accuracy: 100.00\n",
      "Train Epoch: 267 [43520/50000 (97%)]\tLoss: 0.001582, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2874, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.82264542579651 s]\n",
      "Train Epoch: 268 [0/50000 (0%)]\tLoss: 0.001499, Accuracy: 100.00\n",
      "Train Epoch: 268 [2560/50000 (6%)]\tLoss: 0.001732, Accuracy: 100.00\n",
      "Train Epoch: 268 [5120/50000 (11%)]\tLoss: 0.002712, Accuracy: 100.00\n",
      "Train Epoch: 268 [7680/50000 (17%)]\tLoss: 0.001464, Accuracy: 100.00\n",
      "Train Epoch: 268 [10240/50000 (23%)]\tLoss: 0.002917, Accuracy: 100.00\n",
      "Train Epoch: 268 [12800/50000 (28%)]\tLoss: 0.001849, Accuracy: 100.00\n",
      "Train Epoch: 268 [15360/50000 (34%)]\tLoss: 0.001618, Accuracy: 100.00\n",
      "Train Epoch: 268 [17920/50000 (40%)]\tLoss: 0.001499, Accuracy: 100.00\n",
      "Train Epoch: 268 [20480/50000 (45%)]\tLoss: 0.002167, Accuracy: 100.00\n",
      "Train Epoch: 268 [23040/50000 (51%)]\tLoss: 0.001647, Accuracy: 100.00\n",
      "Train Epoch: 268 [25600/50000 (57%)]\tLoss: 0.001928, Accuracy: 100.00\n",
      "Train Epoch: 268 [28160/50000 (62%)]\tLoss: 0.002077, Accuracy: 100.00\n",
      "Train Epoch: 268 [30720/50000 (68%)]\tLoss: 0.001318, Accuracy: 100.00\n",
      "Train Epoch: 268 [33280/50000 (74%)]\tLoss: 0.001465, Accuracy: 100.00\n",
      "Train Epoch: 268 [35840/50000 (80%)]\tLoss: 0.001750, Accuracy: 100.00\n",
      "Train Epoch: 268 [38400/50000 (85%)]\tLoss: 0.002576, Accuracy: 100.00\n",
      "Train Epoch: 268 [40960/50000 (91%)]\tLoss: 0.002267, Accuracy: 100.00\n",
      "Train Epoch: 268 [43520/50000 (97%)]\tLoss: 0.001843, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2885, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.995021104812622 s]\n",
      "Train Epoch: 269 [0/50000 (0%)]\tLoss: 0.002252, Accuracy: 100.00\n",
      "Train Epoch: 269 [2560/50000 (6%)]\tLoss: 0.001788, Accuracy: 100.00\n",
      "Train Epoch: 269 [5120/50000 (11%)]\tLoss: 0.003394, Accuracy: 99.80\n",
      "Train Epoch: 269 [7680/50000 (17%)]\tLoss: 0.001883, Accuracy: 100.00\n",
      "Train Epoch: 269 [10240/50000 (23%)]\tLoss: 0.001930, Accuracy: 100.00\n",
      "Train Epoch: 269 [12800/50000 (28%)]\tLoss: 0.001843, Accuracy: 100.00\n",
      "Train Epoch: 269 [15360/50000 (34%)]\tLoss: 0.001612, Accuracy: 100.00\n",
      "Train Epoch: 269 [17920/50000 (40%)]\tLoss: 0.002375, Accuracy: 100.00\n",
      "Train Epoch: 269 [20480/50000 (45%)]\tLoss: 0.002164, Accuracy: 100.00\n",
      "Train Epoch: 269 [23040/50000 (51%)]\tLoss: 0.001763, Accuracy: 100.00\n",
      "Train Epoch: 269 [25600/50000 (57%)]\tLoss: 0.002393, Accuracy: 100.00\n",
      "Train Epoch: 269 [28160/50000 (62%)]\tLoss: 0.001638, Accuracy: 100.00\n",
      "Train Epoch: 269 [30720/50000 (68%)]\tLoss: 0.003164, Accuracy: 100.00\n",
      "Train Epoch: 269 [33280/50000 (74%)]\tLoss: 0.002012, Accuracy: 100.00\n",
      "Train Epoch: 269 [35840/50000 (80%)]\tLoss: 0.001978, Accuracy: 100.00\n",
      "Train Epoch: 269 [38400/50000 (85%)]\tLoss: 0.001499, Accuracy: 100.00\n",
      "Train Epoch: 269 [40960/50000 (91%)]\tLoss: 0.001330, Accuracy: 100.00\n",
      "Train Epoch: 269 [43520/50000 (97%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2882, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.044185638427734 s]\n",
      "Train Epoch: 270 [0/50000 (0%)]\tLoss: 0.001815, Accuracy: 100.00\n",
      "Train Epoch: 270 [2560/50000 (6%)]\tLoss: 0.002125, Accuracy: 100.00\n",
      "Train Epoch: 270 [5120/50000 (11%)]\tLoss: 0.001417, Accuracy: 100.00\n",
      "Train Epoch: 270 [7680/50000 (17%)]\tLoss: 0.002382, Accuracy: 100.00\n",
      "Train Epoch: 270 [10240/50000 (23%)]\tLoss: 0.001986, Accuracy: 100.00\n",
      "Train Epoch: 270 [12800/50000 (28%)]\tLoss: 0.001409, Accuracy: 100.00\n",
      "Train Epoch: 270 [15360/50000 (34%)]\tLoss: 0.001488, Accuracy: 100.00\n",
      "Train Epoch: 270 [17920/50000 (40%)]\tLoss: 0.002270, Accuracy: 100.00\n",
      "Train Epoch: 270 [20480/50000 (45%)]\tLoss: 0.001427, Accuracy: 100.00\n",
      "Train Epoch: 270 [23040/50000 (51%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 270 [25600/50000 (57%)]\tLoss: 0.001419, Accuracy: 100.00\n",
      "Train Epoch: 270 [28160/50000 (62%)]\tLoss: 0.001833, Accuracy: 100.00\n",
      "Train Epoch: 270 [30720/50000 (68%)]\tLoss: 0.001921, Accuracy: 100.00\n",
      "Train Epoch: 270 [33280/50000 (74%)]\tLoss: 0.001397, Accuracy: 100.00\n",
      "Train Epoch: 270 [35840/50000 (80%)]\tLoss: 0.002031, Accuracy: 100.00\n",
      "Train Epoch: 270 [38400/50000 (85%)]\tLoss: 0.002122, Accuracy: 100.00\n",
      "Train Epoch: 270 [40960/50000 (91%)]\tLoss: 0.002137, Accuracy: 100.00\n",
      "Train Epoch: 270 [43520/50000 (97%)]\tLoss: 0.001976, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2856, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01568865776062 s]\n",
      "\n",
      "Test set: Average loss: 0.3219, Accuracy: 9322/10000 (93.22%)\n",
      "\n",
      "Train Epoch: 271 [0/50000 (0%)]\tLoss: 0.001671, Accuracy: 100.00\n",
      "Train Epoch: 271 [2560/50000 (6%)]\tLoss: 0.001443, Accuracy: 100.00\n",
      "Train Epoch: 271 [5120/50000 (11%)]\tLoss: 0.001390, Accuracy: 100.00\n",
      "Train Epoch: 271 [7680/50000 (17%)]\tLoss: 0.002019, Accuracy: 100.00\n",
      "Train Epoch: 271 [10240/50000 (23%)]\tLoss: 0.001410, Accuracy: 100.00\n",
      "Train Epoch: 271 [12800/50000 (28%)]\tLoss: 0.001505, Accuracy: 100.00\n",
      "Train Epoch: 271 [15360/50000 (34%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "Train Epoch: 271 [17920/50000 (40%)]\tLoss: 0.001665, Accuracy: 100.00\n",
      "Train Epoch: 271 [20480/50000 (45%)]\tLoss: 0.001652, Accuracy: 100.00\n",
      "Train Epoch: 271 [23040/50000 (51%)]\tLoss: 0.001692, Accuracy: 100.00\n",
      "Train Epoch: 271 [25600/50000 (57%)]\tLoss: 0.001537, Accuracy: 100.00\n",
      "Train Epoch: 271 [28160/50000 (62%)]\tLoss: 0.001893, Accuracy: 100.00\n",
      "Train Epoch: 271 [30720/50000 (68%)]\tLoss: 0.002187, Accuracy: 100.00\n",
      "Train Epoch: 271 [33280/50000 (74%)]\tLoss: 0.001507, Accuracy: 100.00\n",
      "Train Epoch: 271 [35840/50000 (80%)]\tLoss: 0.002277, Accuracy: 100.00\n",
      "Train Epoch: 271 [38400/50000 (85%)]\tLoss: 0.002018, Accuracy: 100.00\n",
      "Train Epoch: 271 [40960/50000 (91%)]\tLoss: 0.002154, Accuracy: 100.00\n",
      "Train Epoch: 271 [43520/50000 (97%)]\tLoss: 0.001616, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2879, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.852532386779785 s]\n",
      "Train Epoch: 272 [0/50000 (0%)]\tLoss: 0.001663, Accuracy: 100.00\n",
      "Train Epoch: 272 [2560/50000 (6%)]\tLoss: 0.001669, Accuracy: 100.00\n",
      "Train Epoch: 272 [5120/50000 (11%)]\tLoss: 0.001483, Accuracy: 100.00\n",
      "Train Epoch: 272 [7680/50000 (17%)]\tLoss: 0.003107, Accuracy: 100.00\n",
      "Train Epoch: 272 [10240/50000 (23%)]\tLoss: 0.002356, Accuracy: 100.00\n",
      "Train Epoch: 272 [12800/50000 (28%)]\tLoss: 0.001372, Accuracy: 100.00\n",
      "Train Epoch: 272 [15360/50000 (34%)]\tLoss: 0.001877, Accuracy: 100.00\n",
      "Train Epoch: 272 [17920/50000 (40%)]\tLoss: 0.001493, Accuracy: 100.00\n",
      "Train Epoch: 272 [20480/50000 (45%)]\tLoss: 0.001693, Accuracy: 100.00\n",
      "Train Epoch: 272 [23040/50000 (51%)]\tLoss: 0.002460, Accuracy: 100.00\n",
      "Train Epoch: 272 [25600/50000 (57%)]\tLoss: 0.001683, Accuracy: 100.00\n",
      "Train Epoch: 272 [28160/50000 (62%)]\tLoss: 0.001414, Accuracy: 100.00\n",
      "Train Epoch: 272 [30720/50000 (68%)]\tLoss: 0.001716, Accuracy: 100.00\n",
      "Train Epoch: 272 [33280/50000 (74%)]\tLoss: 0.001899, Accuracy: 100.00\n",
      "Train Epoch: 272 [35840/50000 (80%)]\tLoss: 0.003371, Accuracy: 99.80\n",
      "Train Epoch: 272 [38400/50000 (85%)]\tLoss: 0.002278, Accuracy: 100.00\n",
      "Train Epoch: 272 [40960/50000 (91%)]\tLoss: 0.002124, Accuracy: 100.00\n",
      "Train Epoch: 272 [43520/50000 (97%)]\tLoss: 0.002642, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2834, Accuracy: 4692/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.03833031654358 s]\n",
      "Train Epoch: 273 [0/50000 (0%)]\tLoss: 0.002033, Accuracy: 100.00\n",
      "Train Epoch: 273 [2560/50000 (6%)]\tLoss: 0.001589, Accuracy: 100.00\n",
      "Train Epoch: 273 [5120/50000 (11%)]\tLoss: 0.001354, Accuracy: 100.00\n",
      "Train Epoch: 273 [7680/50000 (17%)]\tLoss: 0.001489, Accuracy: 100.00\n",
      "Train Epoch: 273 [10240/50000 (23%)]\tLoss: 0.001609, Accuracy: 100.00\n",
      "Train Epoch: 273 [12800/50000 (28%)]\tLoss: 0.003632, Accuracy: 100.00\n",
      "Train Epoch: 273 [15360/50000 (34%)]\tLoss: 0.002196, Accuracy: 100.00\n",
      "Train Epoch: 273 [17920/50000 (40%)]\tLoss: 0.001648, Accuracy: 100.00\n",
      "Train Epoch: 273 [20480/50000 (45%)]\tLoss: 0.002095, Accuracy: 100.00\n",
      "Train Epoch: 273 [23040/50000 (51%)]\tLoss: 0.001604, Accuracy: 100.00\n",
      "Train Epoch: 273 [25600/50000 (57%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 273 [28160/50000 (62%)]\tLoss: 0.001511, Accuracy: 100.00\n",
      "Train Epoch: 273 [30720/50000 (68%)]\tLoss: 0.002223, Accuracy: 100.00\n",
      "Train Epoch: 273 [33280/50000 (74%)]\tLoss: 0.001651, Accuracy: 100.00\n",
      "Train Epoch: 273 [35840/50000 (80%)]\tLoss: 0.001461, Accuracy: 100.00\n",
      "Train Epoch: 273 [38400/50000 (85%)]\tLoss: 0.001500, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 273 [40960/50000 (91%)]\tLoss: 0.001646, Accuracy: 100.00\n",
      "Train Epoch: 273 [43520/50000 (97%)]\tLoss: 0.001969, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2868, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.97217297554016 s]\n",
      "Train Epoch: 274 [0/50000 (0%)]\tLoss: 0.001626, Accuracy: 100.00\n",
      "Train Epoch: 274 [2560/50000 (6%)]\tLoss: 0.001824, Accuracy: 100.00\n",
      "Train Epoch: 274 [5120/50000 (11%)]\tLoss: 0.002343, Accuracy: 100.00\n",
      "Train Epoch: 274 [7680/50000 (17%)]\tLoss: 0.002299, Accuracy: 100.00\n",
      "Train Epoch: 274 [10240/50000 (23%)]\tLoss: 0.001961, Accuracy: 100.00\n",
      "Train Epoch: 274 [12800/50000 (28%)]\tLoss: 0.001785, Accuracy: 100.00\n",
      "Train Epoch: 274 [15360/50000 (34%)]\tLoss: 0.002730, Accuracy: 100.00\n",
      "Train Epoch: 274 [17920/50000 (40%)]\tLoss: 0.002642, Accuracy: 100.00\n",
      "Train Epoch: 274 [20480/50000 (45%)]\tLoss: 0.002099, Accuracy: 100.00\n",
      "Train Epoch: 274 [23040/50000 (51%)]\tLoss: 0.001333, Accuracy: 100.00\n",
      "Train Epoch: 274 [25600/50000 (57%)]\tLoss: 0.001564, Accuracy: 100.00\n",
      "Train Epoch: 274 [28160/50000 (62%)]\tLoss: 0.001839, Accuracy: 100.00\n",
      "Train Epoch: 274 [30720/50000 (68%)]\tLoss: 0.001393, Accuracy: 100.00\n",
      "Train Epoch: 274 [33280/50000 (74%)]\tLoss: 0.001460, Accuracy: 100.00\n",
      "Train Epoch: 274 [35840/50000 (80%)]\tLoss: 0.002960, Accuracy: 100.00\n",
      "Train Epoch: 274 [38400/50000 (85%)]\tLoss: 0.001681, Accuracy: 100.00\n",
      "Train Epoch: 274 [40960/50000 (91%)]\tLoss: 0.001607, Accuracy: 100.00\n",
      "Train Epoch: 274 [43520/50000 (97%)]\tLoss: 0.002770, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2859, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00902271270752 s]\n",
      "Train Epoch: 275 [0/50000 (0%)]\tLoss: 0.001515, Accuracy: 100.00\n",
      "Train Epoch: 275 [2560/50000 (6%)]\tLoss: 0.002753, Accuracy: 100.00\n",
      "Train Epoch: 275 [5120/50000 (11%)]\tLoss: 0.001618, Accuracy: 100.00\n",
      "Train Epoch: 275 [7680/50000 (17%)]\tLoss: 0.001507, Accuracy: 100.00\n",
      "Train Epoch: 275 [10240/50000 (23%)]\tLoss: 0.002987, Accuracy: 100.00\n",
      "Train Epoch: 275 [12800/50000 (28%)]\tLoss: 0.001471, Accuracy: 100.00\n",
      "Train Epoch: 275 [15360/50000 (34%)]\tLoss: 0.001602, Accuracy: 100.00\n",
      "Train Epoch: 275 [17920/50000 (40%)]\tLoss: 0.001824, Accuracy: 100.00\n",
      "Train Epoch: 275 [20480/50000 (45%)]\tLoss: 0.001662, Accuracy: 100.00\n",
      "Train Epoch: 275 [23040/50000 (51%)]\tLoss: 0.001680, Accuracy: 100.00\n",
      "Train Epoch: 275 [25600/50000 (57%)]\tLoss: 0.001964, Accuracy: 100.00\n",
      "Train Epoch: 275 [28160/50000 (62%)]\tLoss: 0.002686, Accuracy: 100.00\n",
      "Train Epoch: 275 [30720/50000 (68%)]\tLoss: 0.001719, Accuracy: 100.00\n",
      "Train Epoch: 275 [33280/50000 (74%)]\tLoss: 0.001982, Accuracy: 100.00\n",
      "Train Epoch: 275 [35840/50000 (80%)]\tLoss: 0.001524, Accuracy: 100.00\n",
      "Train Epoch: 275 [38400/50000 (85%)]\tLoss: 0.001468, Accuracy: 100.00\n",
      "Train Epoch: 275 [40960/50000 (91%)]\tLoss: 0.001559, Accuracy: 100.00\n",
      "Train Epoch: 275 [43520/50000 (97%)]\tLoss: 0.001982, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2859, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00764322280884 s]\n",
      "Train Epoch: 276 [0/50000 (0%)]\tLoss: 0.001784, Accuracy: 100.00\n",
      "Train Epoch: 276 [2560/50000 (6%)]\tLoss: 0.001234, Accuracy: 100.00\n",
      "Train Epoch: 276 [5120/50000 (11%)]\tLoss: 0.001717, Accuracy: 100.00\n",
      "Train Epoch: 276 [7680/50000 (17%)]\tLoss: 0.001231, Accuracy: 100.00\n",
      "Train Epoch: 276 [10240/50000 (23%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "Train Epoch: 276 [12800/50000 (28%)]\tLoss: 0.001770, Accuracy: 100.00\n",
      "Train Epoch: 276 [15360/50000 (34%)]\tLoss: 0.001401, Accuracy: 100.00\n",
      "Train Epoch: 276 [17920/50000 (40%)]\tLoss: 0.002031, Accuracy: 100.00\n",
      "Train Epoch: 276 [20480/50000 (45%)]\tLoss: 0.002660, Accuracy: 100.00\n",
      "Train Epoch: 276 [23040/50000 (51%)]\tLoss: 0.001949, Accuracy: 100.00\n",
      "Train Epoch: 276 [25600/50000 (57%)]\tLoss: 0.001299, Accuracy: 100.00\n",
      "Train Epoch: 276 [28160/50000 (62%)]\tLoss: 0.001618, Accuracy: 100.00\n",
      "Train Epoch: 276 [30720/50000 (68%)]\tLoss: 0.001466, Accuracy: 100.00\n",
      "Train Epoch: 276 [33280/50000 (74%)]\tLoss: 0.001226, Accuracy: 100.00\n",
      "Train Epoch: 276 [35840/50000 (80%)]\tLoss: 0.002918, Accuracy: 100.00\n",
      "Train Epoch: 276 [38400/50000 (85%)]\tLoss: 0.003478, Accuracy: 100.00\n",
      "Train Epoch: 276 [40960/50000 (91%)]\tLoss: 0.007246, Accuracy: 99.80\n",
      "Train Epoch: 276 [43520/50000 (97%)]\tLoss: 0.001629, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2874, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.068058013916016 s]\n",
      "Train Epoch: 277 [0/50000 (0%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "Train Epoch: 277 [2560/50000 (6%)]\tLoss: 0.001986, Accuracy: 100.00\n",
      "Train Epoch: 277 [5120/50000 (11%)]\tLoss: 0.001538, Accuracy: 100.00\n",
      "Train Epoch: 277 [7680/50000 (17%)]\tLoss: 0.001761, Accuracy: 100.00\n",
      "Train Epoch: 277 [10240/50000 (23%)]\tLoss: 0.002565, Accuracy: 100.00\n",
      "Train Epoch: 277 [12800/50000 (28%)]\tLoss: 0.001705, Accuracy: 100.00\n",
      "Train Epoch: 277 [15360/50000 (34%)]\tLoss: 0.001633, Accuracy: 100.00\n",
      "Train Epoch: 277 [17920/50000 (40%)]\tLoss: 0.001469, Accuracy: 100.00\n",
      "Train Epoch: 277 [20480/50000 (45%)]\tLoss: 0.002068, Accuracy: 100.00\n",
      "Train Epoch: 277 [23040/50000 (51%)]\tLoss: 0.002357, Accuracy: 100.00\n",
      "Train Epoch: 277 [25600/50000 (57%)]\tLoss: 0.001558, Accuracy: 100.00\n",
      "Train Epoch: 277 [28160/50000 (62%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 277 [30720/50000 (68%)]\tLoss: 0.002386, Accuracy: 100.00\n",
      "Train Epoch: 277 [33280/50000 (74%)]\tLoss: 0.001485, Accuracy: 100.00\n",
      "Train Epoch: 277 [35840/50000 (80%)]\tLoss: 0.002912, Accuracy: 100.00\n",
      "Train Epoch: 277 [38400/50000 (85%)]\tLoss: 0.001489, Accuracy: 100.00\n",
      "Train Epoch: 277 [40960/50000 (91%)]\tLoss: 0.001805, Accuracy: 100.00\n",
      "Train Epoch: 277 [43520/50000 (97%)]\tLoss: 0.001648, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2880, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.0699028968811 s]\n",
      "Train Epoch: 278 [0/50000 (0%)]\tLoss: 0.002487, Accuracy: 100.00\n",
      "Train Epoch: 278 [2560/50000 (6%)]\tLoss: 0.002091, Accuracy: 100.00\n",
      "Train Epoch: 278 [5120/50000 (11%)]\tLoss: 0.002103, Accuracy: 100.00\n",
      "Train Epoch: 278 [7680/50000 (17%)]\tLoss: 0.002324, Accuracy: 100.00\n",
      "Train Epoch: 278 [10240/50000 (23%)]\tLoss: 0.003803, Accuracy: 100.00\n",
      "Train Epoch: 278 [12800/50000 (28%)]\tLoss: 0.002578, Accuracy: 100.00\n",
      "Train Epoch: 278 [15360/50000 (34%)]\tLoss: 0.001828, Accuracy: 100.00\n",
      "Train Epoch: 278 [17920/50000 (40%)]\tLoss: 0.001437, Accuracy: 100.00\n",
      "Train Epoch: 278 [20480/50000 (45%)]\tLoss: 0.001561, Accuracy: 100.00\n",
      "Train Epoch: 278 [23040/50000 (51%)]\tLoss: 0.001604, Accuracy: 100.00\n",
      "Train Epoch: 278 [25600/50000 (57%)]\tLoss: 0.001821, Accuracy: 100.00\n",
      "Train Epoch: 278 [28160/50000 (62%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "Train Epoch: 278 [30720/50000 (68%)]\tLoss: 0.001709, Accuracy: 100.00\n",
      "Train Epoch: 278 [33280/50000 (74%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 278 [35840/50000 (80%)]\tLoss: 0.001884, Accuracy: 100.00\n",
      "Train Epoch: 278 [38400/50000 (85%)]\tLoss: 0.001342, Accuracy: 100.00\n",
      "Train Epoch: 278 [40960/50000 (91%)]\tLoss: 0.001417, Accuracy: 100.00\n",
      "Train Epoch: 278 [43520/50000 (97%)]\tLoss: 0.001848, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2875, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.06597065925598 s]\n",
      "Train Epoch: 279 [0/50000 (0%)]\tLoss: 0.001408, Accuracy: 100.00\n",
      "Train Epoch: 279 [2560/50000 (6%)]\tLoss: 0.001717, Accuracy: 100.00\n",
      "Train Epoch: 279 [5120/50000 (11%)]\tLoss: 0.001711, Accuracy: 100.00\n",
      "Train Epoch: 279 [7680/50000 (17%)]\tLoss: 0.001759, Accuracy: 100.00\n",
      "Train Epoch: 279 [10240/50000 (23%)]\tLoss: 0.001618, Accuracy: 100.00\n",
      "Train Epoch: 279 [12800/50000 (28%)]\tLoss: 0.001943, Accuracy: 100.00\n",
      "Train Epoch: 279 [15360/50000 (34%)]\tLoss: 0.004306, Accuracy: 100.00\n",
      "Train Epoch: 279 [17920/50000 (40%)]\tLoss: 0.001917, Accuracy: 100.00\n",
      "Train Epoch: 279 [20480/50000 (45%)]\tLoss: 0.001481, Accuracy: 100.00\n",
      "Train Epoch: 279 [23040/50000 (51%)]\tLoss: 0.001611, Accuracy: 100.00\n",
      "Train Epoch: 279 [25600/50000 (57%)]\tLoss: 0.001648, Accuracy: 100.00\n",
      "Train Epoch: 279 [28160/50000 (62%)]\tLoss: 0.002326, Accuracy: 100.00\n",
      "Train Epoch: 279 [30720/50000 (68%)]\tLoss: 0.001404, Accuracy: 100.00\n",
      "Train Epoch: 279 [33280/50000 (74%)]\tLoss: 0.001685, Accuracy: 100.00\n",
      "Train Epoch: 279 [35840/50000 (80%)]\tLoss: 0.002147, Accuracy: 100.00\n",
      "Train Epoch: 279 [38400/50000 (85%)]\tLoss: 0.001605, Accuracy: 100.00\n",
      "Train Epoch: 279 [40960/50000 (91%)]\tLoss: 0.001545, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 279 [43520/50000 (97%)]\tLoss: 0.001740, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2871, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.07186269760132 s]\n",
      "Train Epoch: 280 [0/50000 (0%)]\tLoss: 0.002930, Accuracy: 100.00\n",
      "Train Epoch: 280 [2560/50000 (6%)]\tLoss: 0.002101, Accuracy: 100.00\n",
      "Train Epoch: 280 [5120/50000 (11%)]\tLoss: 0.001802, Accuracy: 100.00\n",
      "Train Epoch: 280 [7680/50000 (17%)]\tLoss: 0.001780, Accuracy: 100.00\n",
      "Train Epoch: 280 [10240/50000 (23%)]\tLoss: 0.001354, Accuracy: 100.00\n",
      "Train Epoch: 280 [12800/50000 (28%)]\tLoss: 0.001897, Accuracy: 100.00\n",
      "Train Epoch: 280 [15360/50000 (34%)]\tLoss: 0.001794, Accuracy: 100.00\n",
      "Train Epoch: 280 [17920/50000 (40%)]\tLoss: 0.002106, Accuracy: 100.00\n",
      "Train Epoch: 280 [20480/50000 (45%)]\tLoss: 0.003079, Accuracy: 100.00\n",
      "Train Epoch: 280 [23040/50000 (51%)]\tLoss: 0.001593, Accuracy: 100.00\n",
      "Train Epoch: 280 [25600/50000 (57%)]\tLoss: 0.001634, Accuracy: 100.00\n",
      "Train Epoch: 280 [28160/50000 (62%)]\tLoss: 0.001614, Accuracy: 100.00\n",
      "Train Epoch: 280 [30720/50000 (68%)]\tLoss: 0.002164, Accuracy: 100.00\n",
      "Train Epoch: 280 [33280/50000 (74%)]\tLoss: 0.001713, Accuracy: 100.00\n",
      "Train Epoch: 280 [35840/50000 (80%)]\tLoss: 0.001831, Accuracy: 100.00\n",
      "Train Epoch: 280 [38400/50000 (85%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 280 [40960/50000 (91%)]\tLoss: 0.001900, Accuracy: 100.00\n",
      "Train Epoch: 280 [43520/50000 (97%)]\tLoss: 0.001412, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2865, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.07062792778015 s]\n",
      "\n",
      "Test set: Average loss: 0.3216, Accuracy: 9320/10000 (93.20%)\n",
      "\n",
      "Train Epoch: 281 [0/50000 (0%)]\tLoss: 0.001688, Accuracy: 100.00\n",
      "Train Epoch: 281 [2560/50000 (6%)]\tLoss: 0.001698, Accuracy: 100.00\n",
      "Train Epoch: 281 [5120/50000 (11%)]\tLoss: 0.001760, Accuracy: 100.00\n",
      "Train Epoch: 281 [7680/50000 (17%)]\tLoss: 0.002249, Accuracy: 100.00\n",
      "Train Epoch: 281 [10240/50000 (23%)]\tLoss: 0.002114, Accuracy: 100.00\n",
      "Train Epoch: 281 [12800/50000 (28%)]\tLoss: 0.001729, Accuracy: 100.00\n",
      "Train Epoch: 281 [15360/50000 (34%)]\tLoss: 0.001533, Accuracy: 100.00\n",
      "Train Epoch: 281 [17920/50000 (40%)]\tLoss: 0.001464, Accuracy: 100.00\n",
      "Train Epoch: 281 [20480/50000 (45%)]\tLoss: 0.002928, Accuracy: 100.00\n",
      "Train Epoch: 281 [23040/50000 (51%)]\tLoss: 0.001451, Accuracy: 100.00\n",
      "Train Epoch: 281 [25600/50000 (57%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 281 [28160/50000 (62%)]\tLoss: 0.001815, Accuracy: 100.00\n",
      "Train Epoch: 281 [30720/50000 (68%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 281 [33280/50000 (74%)]\tLoss: 0.001559, Accuracy: 100.00\n",
      "Train Epoch: 281 [35840/50000 (80%)]\tLoss: 0.001883, Accuracy: 100.00\n",
      "Train Epoch: 281 [38400/50000 (85%)]\tLoss: 0.002354, Accuracy: 100.00\n",
      "Train Epoch: 281 [40960/50000 (91%)]\tLoss: 0.001450, Accuracy: 100.00\n",
      "Train Epoch: 281 [43520/50000 (97%)]\tLoss: 0.002861, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2876, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.85630559921265 s]\n",
      "Train Epoch: 282 [0/50000 (0%)]\tLoss: 0.001556, Accuracy: 100.00\n",
      "Train Epoch: 282 [2560/50000 (6%)]\tLoss: 0.002798, Accuracy: 100.00\n",
      "Train Epoch: 282 [5120/50000 (11%)]\tLoss: 0.002353, Accuracy: 100.00\n",
      "Train Epoch: 282 [7680/50000 (17%)]\tLoss: 0.001375, Accuracy: 100.00\n",
      "Train Epoch: 282 [10240/50000 (23%)]\tLoss: 0.001626, Accuracy: 100.00\n",
      "Train Epoch: 282 [12800/50000 (28%)]\tLoss: 0.001652, Accuracy: 100.00\n",
      "Train Epoch: 282 [15360/50000 (34%)]\tLoss: 0.001913, Accuracy: 100.00\n",
      "Train Epoch: 282 [17920/50000 (40%)]\tLoss: 0.001762, Accuracy: 100.00\n",
      "Train Epoch: 282 [20480/50000 (45%)]\tLoss: 0.001758, Accuracy: 100.00\n",
      "Train Epoch: 282 [23040/50000 (51%)]\tLoss: 0.002232, Accuracy: 100.00\n",
      "Train Epoch: 282 [25600/50000 (57%)]\tLoss: 0.002213, Accuracy: 100.00\n",
      "Train Epoch: 282 [28160/50000 (62%)]\tLoss: 0.001817, Accuracy: 100.00\n",
      "Train Epoch: 282 [30720/50000 (68%)]\tLoss: 0.001671, Accuracy: 100.00\n",
      "Train Epoch: 282 [33280/50000 (74%)]\tLoss: 0.001640, Accuracy: 100.00\n",
      "Train Epoch: 282 [35840/50000 (80%)]\tLoss: 0.002487, Accuracy: 100.00\n",
      "Train Epoch: 282 [38400/50000 (85%)]\tLoss: 0.001495, Accuracy: 100.00\n",
      "Train Epoch: 282 [40960/50000 (91%)]\tLoss: 0.002886, Accuracy: 99.80\n",
      "Train Epoch: 282 [43520/50000 (97%)]\tLoss: 0.001367, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2856, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00752234458923 s]\n",
      "Train Epoch: 283 [0/50000 (0%)]\tLoss: 0.001251, Accuracy: 100.00\n",
      "Train Epoch: 283 [2560/50000 (6%)]\tLoss: 0.002393, Accuracy: 100.00\n",
      "Train Epoch: 283 [5120/50000 (11%)]\tLoss: 0.002001, Accuracy: 100.00\n",
      "Train Epoch: 283 [7680/50000 (17%)]\tLoss: 0.001491, Accuracy: 100.00\n",
      "Train Epoch: 283 [10240/50000 (23%)]\tLoss: 0.001973, Accuracy: 100.00\n",
      "Train Epoch: 283 [12800/50000 (28%)]\tLoss: 0.001694, Accuracy: 100.00\n",
      "Train Epoch: 283 [15360/50000 (34%)]\tLoss: 0.001733, Accuracy: 100.00\n",
      "Train Epoch: 283 [17920/50000 (40%)]\tLoss: 0.001433, Accuracy: 100.00\n",
      "Train Epoch: 283 [20480/50000 (45%)]\tLoss: 0.001512, Accuracy: 100.00\n",
      "Train Epoch: 283 [23040/50000 (51%)]\tLoss: 0.001449, Accuracy: 100.00\n",
      "Train Epoch: 283 [25600/50000 (57%)]\tLoss: 0.001596, Accuracy: 100.00\n",
      "Train Epoch: 283 [28160/50000 (62%)]\tLoss: 0.001325, Accuracy: 100.00\n",
      "Train Epoch: 283 [30720/50000 (68%)]\tLoss: 0.003249, Accuracy: 99.80\n",
      "Train Epoch: 283 [33280/50000 (74%)]\tLoss: 0.001245, Accuracy: 100.00\n",
      "Train Epoch: 283 [35840/50000 (80%)]\tLoss: 0.001793, Accuracy: 100.00\n",
      "Train Epoch: 283 [38400/50000 (85%)]\tLoss: 0.001810, Accuracy: 100.00\n",
      "Train Epoch: 283 [40960/50000 (91%)]\tLoss: 0.001357, Accuracy: 100.00\n",
      "Train Epoch: 283 [43520/50000 (97%)]\tLoss: 0.002056, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2868, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.057042837142944 s]\n",
      "Train Epoch: 284 [0/50000 (0%)]\tLoss: 0.001523, Accuracy: 100.00\n",
      "Train Epoch: 284 [2560/50000 (6%)]\tLoss: 0.001860, Accuracy: 100.00\n",
      "Train Epoch: 284 [5120/50000 (11%)]\tLoss: 0.001641, Accuracy: 100.00\n",
      "Train Epoch: 284 [7680/50000 (17%)]\tLoss: 0.002112, Accuracy: 100.00\n",
      "Train Epoch: 284 [10240/50000 (23%)]\tLoss: 0.002108, Accuracy: 100.00\n",
      "Train Epoch: 284 [12800/50000 (28%)]\tLoss: 0.001496, Accuracy: 100.00\n",
      "Train Epoch: 284 [15360/50000 (34%)]\tLoss: 0.002002, Accuracy: 100.00\n",
      "Train Epoch: 284 [17920/50000 (40%)]\tLoss: 0.003833, Accuracy: 100.00\n",
      "Train Epoch: 284 [20480/50000 (45%)]\tLoss: 0.002333, Accuracy: 100.00\n",
      "Train Epoch: 284 [23040/50000 (51%)]\tLoss: 0.001894, Accuracy: 100.00\n",
      "Train Epoch: 284 [25600/50000 (57%)]\tLoss: 0.001529, Accuracy: 100.00\n",
      "Train Epoch: 284 [28160/50000 (62%)]\tLoss: 0.001700, Accuracy: 100.00\n",
      "Train Epoch: 284 [30720/50000 (68%)]\tLoss: 0.001629, Accuracy: 100.00\n",
      "Train Epoch: 284 [33280/50000 (74%)]\tLoss: 0.001674, Accuracy: 100.00\n",
      "Train Epoch: 284 [35840/50000 (80%)]\tLoss: 0.001840, Accuracy: 100.00\n",
      "Train Epoch: 284 [38400/50000 (85%)]\tLoss: 0.001453, Accuracy: 100.00\n",
      "Train Epoch: 284 [40960/50000 (91%)]\tLoss: 0.001470, Accuracy: 100.00\n",
      "Train Epoch: 284 [43520/50000 (97%)]\tLoss: 0.002285, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2867, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01799654960632 s]\n",
      "Train Epoch: 285 [0/50000 (0%)]\tLoss: 0.002362, Accuracy: 100.00\n",
      "Train Epoch: 285 [2560/50000 (6%)]\tLoss: 0.001928, Accuracy: 100.00\n",
      "Train Epoch: 285 [5120/50000 (11%)]\tLoss: 0.002350, Accuracy: 100.00\n",
      "Train Epoch: 285 [7680/50000 (17%)]\tLoss: 0.005697, Accuracy: 99.80\n",
      "Train Epoch: 285 [10240/50000 (23%)]\tLoss: 0.002030, Accuracy: 100.00\n",
      "Train Epoch: 285 [12800/50000 (28%)]\tLoss: 0.001814, Accuracy: 100.00\n",
      "Train Epoch: 285 [15360/50000 (34%)]\tLoss: 0.001414, Accuracy: 100.00\n",
      "Train Epoch: 285 [17920/50000 (40%)]\tLoss: 0.001893, Accuracy: 100.00\n",
      "Train Epoch: 285 [20480/50000 (45%)]\tLoss: 0.001694, Accuracy: 100.00\n",
      "Train Epoch: 285 [23040/50000 (51%)]\tLoss: 0.001261, Accuracy: 100.00\n",
      "Train Epoch: 285 [25600/50000 (57%)]\tLoss: 0.002742, Accuracy: 100.00\n",
      "Train Epoch: 285 [28160/50000 (62%)]\tLoss: 0.001270, Accuracy: 100.00\n",
      "Train Epoch: 285 [30720/50000 (68%)]\tLoss: 0.001464, Accuracy: 100.00\n",
      "Train Epoch: 285 [33280/50000 (74%)]\tLoss: 0.001493, Accuracy: 100.00\n",
      "Train Epoch: 285 [35840/50000 (80%)]\tLoss: 0.001404, Accuracy: 100.00\n",
      "Train Epoch: 285 [38400/50000 (85%)]\tLoss: 0.001712, Accuracy: 100.00\n",
      "Train Epoch: 285 [40960/50000 (91%)]\tLoss: 0.001623, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 285 [43520/50000 (97%)]\tLoss: 0.001340, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2861, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.001850605010986 s]\n",
      "Train Epoch: 286 [0/50000 (0%)]\tLoss: 0.001399, Accuracy: 100.00\n",
      "Train Epoch: 286 [2560/50000 (6%)]\tLoss: 0.001931, Accuracy: 100.00\n",
      "Train Epoch: 286 [5120/50000 (11%)]\tLoss: 0.001853, Accuracy: 100.00\n",
      "Train Epoch: 286 [7680/50000 (17%)]\tLoss: 0.001625, Accuracy: 100.00\n",
      "Train Epoch: 286 [10240/50000 (23%)]\tLoss: 0.001640, Accuracy: 100.00\n",
      "Train Epoch: 286 [12800/50000 (28%)]\tLoss: 0.001445, Accuracy: 100.00\n",
      "Train Epoch: 286 [15360/50000 (34%)]\tLoss: 0.004842, Accuracy: 99.80\n",
      "Train Epoch: 286 [17920/50000 (40%)]\tLoss: 0.002328, Accuracy: 100.00\n",
      "Train Epoch: 286 [20480/50000 (45%)]\tLoss: 0.002410, Accuracy: 100.00\n",
      "Train Epoch: 286 [23040/50000 (51%)]\tLoss: 0.002582, Accuracy: 100.00\n",
      "Train Epoch: 286 [25600/50000 (57%)]\tLoss: 0.002033, Accuracy: 100.00\n",
      "Train Epoch: 286 [28160/50000 (62%)]\tLoss: 0.001976, Accuracy: 100.00\n",
      "Train Epoch: 286 [30720/50000 (68%)]\tLoss: 0.001360, Accuracy: 100.00\n",
      "Train Epoch: 286 [33280/50000 (74%)]\tLoss: 0.001689, Accuracy: 100.00\n",
      "Train Epoch: 286 [35840/50000 (80%)]\tLoss: 0.001795, Accuracy: 100.00\n",
      "Train Epoch: 286 [38400/50000 (85%)]\tLoss: 0.002294, Accuracy: 100.00\n",
      "Train Epoch: 286 [40960/50000 (91%)]\tLoss: 0.001536, Accuracy: 100.00\n",
      "Train Epoch: 286 [43520/50000 (97%)]\tLoss: 0.004105, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2876, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00472116470337 s]\n",
      "Train Epoch: 287 [0/50000 (0%)]\tLoss: 0.001983, Accuracy: 100.00\n",
      "Train Epoch: 287 [2560/50000 (6%)]\tLoss: 0.001928, Accuracy: 100.00\n",
      "Train Epoch: 287 [5120/50000 (11%)]\tLoss: 0.001778, Accuracy: 100.00\n",
      "Train Epoch: 287 [7680/50000 (17%)]\tLoss: 0.002284, Accuracy: 100.00\n",
      "Train Epoch: 287 [10240/50000 (23%)]\tLoss: 0.001474, Accuracy: 100.00\n",
      "Train Epoch: 287 [12800/50000 (28%)]\tLoss: 0.001866, Accuracy: 100.00\n",
      "Train Epoch: 287 [15360/50000 (34%)]\tLoss: 0.002185, Accuracy: 100.00\n",
      "Train Epoch: 287 [17920/50000 (40%)]\tLoss: 0.004344, Accuracy: 99.80\n",
      "Train Epoch: 287 [20480/50000 (45%)]\tLoss: 0.002769, Accuracy: 100.00\n",
      "Train Epoch: 287 [23040/50000 (51%)]\tLoss: 0.001980, Accuracy: 100.00\n",
      "Train Epoch: 287 [25600/50000 (57%)]\tLoss: 0.001945, Accuracy: 100.00\n",
      "Train Epoch: 287 [28160/50000 (62%)]\tLoss: 0.001619, Accuracy: 100.00\n",
      "Train Epoch: 287 [30720/50000 (68%)]\tLoss: 0.003345, Accuracy: 100.00\n",
      "Train Epoch: 287 [33280/50000 (74%)]\tLoss: 0.001699, Accuracy: 100.00\n",
      "Train Epoch: 287 [35840/50000 (80%)]\tLoss: 0.002540, Accuracy: 100.00\n",
      "Train Epoch: 287 [38400/50000 (85%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 287 [40960/50000 (91%)]\tLoss: 0.002495, Accuracy: 100.00\n",
      "Train Epoch: 287 [43520/50000 (97%)]\tLoss: 0.001666, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2873, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.05052995681763 s]\n",
      "Train Epoch: 288 [0/50000 (0%)]\tLoss: 0.001685, Accuracy: 100.00\n",
      "Train Epoch: 288 [2560/50000 (6%)]\tLoss: 0.001644, Accuracy: 100.00\n",
      "Train Epoch: 288 [5120/50000 (11%)]\tLoss: 0.001271, Accuracy: 100.00\n",
      "Train Epoch: 288 [7680/50000 (17%)]\tLoss: 0.001416, Accuracy: 100.00\n",
      "Train Epoch: 288 [10240/50000 (23%)]\tLoss: 0.002967, Accuracy: 100.00\n",
      "Train Epoch: 288 [12800/50000 (28%)]\tLoss: 0.002706, Accuracy: 100.00\n",
      "Train Epoch: 288 [15360/50000 (34%)]\tLoss: 0.002380, Accuracy: 100.00\n",
      "Train Epoch: 288 [17920/50000 (40%)]\tLoss: 0.001803, Accuracy: 100.00\n",
      "Train Epoch: 288 [20480/50000 (45%)]\tLoss: 0.001405, Accuracy: 100.00\n",
      "Train Epoch: 288 [23040/50000 (51%)]\tLoss: 0.001580, Accuracy: 100.00\n",
      "Train Epoch: 288 [25600/50000 (57%)]\tLoss: 0.001361, Accuracy: 100.00\n",
      "Train Epoch: 288 [28160/50000 (62%)]\tLoss: 0.001987, Accuracy: 100.00\n",
      "Train Epoch: 288 [30720/50000 (68%)]\tLoss: 0.001782, Accuracy: 100.00\n",
      "Train Epoch: 288 [33280/50000 (74%)]\tLoss: 0.001862, Accuracy: 100.00\n",
      "Train Epoch: 288 [35840/50000 (80%)]\tLoss: 0.002058, Accuracy: 100.00\n",
      "Train Epoch: 288 [38400/50000 (85%)]\tLoss: 0.001843, Accuracy: 100.00\n",
      "Train Epoch: 288 [40960/50000 (91%)]\tLoss: 0.001877, Accuracy: 100.00\n",
      "Train Epoch: 288 [43520/50000 (97%)]\tLoss: 0.002493, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2869, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00067472457886 s]\n",
      "Train Epoch: 289 [0/50000 (0%)]\tLoss: 0.002762, Accuracy: 100.00\n",
      "Train Epoch: 289 [2560/50000 (6%)]\tLoss: 0.001474, Accuracy: 100.00\n",
      "Train Epoch: 289 [5120/50000 (11%)]\tLoss: 0.002138, Accuracy: 100.00\n",
      "Train Epoch: 289 [7680/50000 (17%)]\tLoss: 0.001257, Accuracy: 100.00\n",
      "Train Epoch: 289 [10240/50000 (23%)]\tLoss: 0.004361, Accuracy: 99.80\n",
      "Train Epoch: 289 [12800/50000 (28%)]\tLoss: 0.009699, Accuracy: 99.61\n",
      "Train Epoch: 289 [15360/50000 (34%)]\tLoss: 0.001783, Accuracy: 100.00\n",
      "Train Epoch: 289 [17920/50000 (40%)]\tLoss: 0.001408, Accuracy: 100.00\n",
      "Train Epoch: 289 [20480/50000 (45%)]\tLoss: 0.001807, Accuracy: 100.00\n",
      "Train Epoch: 289 [23040/50000 (51%)]\tLoss: 0.001704, Accuracy: 100.00\n",
      "Train Epoch: 289 [25600/50000 (57%)]\tLoss: 0.001570, Accuracy: 100.00\n",
      "Train Epoch: 289 [28160/50000 (62%)]\tLoss: 0.001585, Accuracy: 100.00\n",
      "Train Epoch: 289 [30720/50000 (68%)]\tLoss: 0.001762, Accuracy: 100.00\n",
      "Train Epoch: 289 [33280/50000 (74%)]\tLoss: 0.001801, Accuracy: 100.00\n",
      "Train Epoch: 289 [35840/50000 (80%)]\tLoss: 0.001851, Accuracy: 100.00\n",
      "Train Epoch: 289 [38400/50000 (85%)]\tLoss: 0.002585, Accuracy: 100.00\n",
      "Train Epoch: 289 [40960/50000 (91%)]\tLoss: 0.001948, Accuracy: 100.00\n",
      "Train Epoch: 289 [43520/50000 (97%)]\tLoss: 0.001630, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2869, Accuracy: 4689/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.991933345794678 s]\n",
      "Train Epoch: 290 [0/50000 (0%)]\tLoss: 0.001917, Accuracy: 100.00\n",
      "Train Epoch: 290 [2560/50000 (6%)]\tLoss: 0.001893, Accuracy: 100.00\n",
      "Train Epoch: 290 [5120/50000 (11%)]\tLoss: 0.001370, Accuracy: 100.00\n",
      "Train Epoch: 290 [7680/50000 (17%)]\tLoss: 0.002394, Accuracy: 100.00\n",
      "Train Epoch: 290 [10240/50000 (23%)]\tLoss: 0.001790, Accuracy: 100.00\n",
      "Train Epoch: 290 [12800/50000 (28%)]\tLoss: 0.001810, Accuracy: 100.00\n",
      "Train Epoch: 290 [15360/50000 (34%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 290 [17920/50000 (40%)]\tLoss: 0.001719, Accuracy: 100.00\n",
      "Train Epoch: 290 [20480/50000 (45%)]\tLoss: 0.001474, Accuracy: 100.00\n",
      "Train Epoch: 290 [23040/50000 (51%)]\tLoss: 0.001630, Accuracy: 100.00\n",
      "Train Epoch: 290 [25600/50000 (57%)]\tLoss: 0.002097, Accuracy: 100.00\n",
      "Train Epoch: 290 [28160/50000 (62%)]\tLoss: 0.003380, Accuracy: 100.00\n",
      "Train Epoch: 290 [30720/50000 (68%)]\tLoss: 0.001465, Accuracy: 100.00\n",
      "Train Epoch: 290 [33280/50000 (74%)]\tLoss: 0.001202, Accuracy: 100.00\n",
      "Train Epoch: 290 [35840/50000 (80%)]\tLoss: 0.003338, Accuracy: 100.00\n",
      "Train Epoch: 290 [38400/50000 (85%)]\tLoss: 0.002375, Accuracy: 100.00\n",
      "Train Epoch: 290 [40960/50000 (91%)]\tLoss: 0.001940, Accuracy: 100.00\n",
      "Train Epoch: 290 [43520/50000 (97%)]\tLoss: 0.001752, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2860, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.02884864807129 s]\n",
      "\n",
      "Test set: Average loss: 0.3216, Accuracy: 9324/10000 (93.24%)\n",
      "\n",
      "Train Epoch: 291 [0/50000 (0%)]\tLoss: 0.001929, Accuracy: 100.00\n",
      "Train Epoch: 291 [2560/50000 (6%)]\tLoss: 0.002159, Accuracy: 100.00\n",
      "Train Epoch: 291 [5120/50000 (11%)]\tLoss: 0.002015, Accuracy: 100.00\n",
      "Train Epoch: 291 [7680/50000 (17%)]\tLoss: 0.001958, Accuracy: 100.00\n",
      "Train Epoch: 291 [10240/50000 (23%)]\tLoss: 0.002625, Accuracy: 100.00\n",
      "Train Epoch: 291 [12800/50000 (28%)]\tLoss: 0.002373, Accuracy: 100.00\n",
      "Train Epoch: 291 [15360/50000 (34%)]\tLoss: 0.001769, Accuracy: 100.00\n",
      "Train Epoch: 291 [17920/50000 (40%)]\tLoss: 0.002085, Accuracy: 100.00\n",
      "Train Epoch: 291 [20480/50000 (45%)]\tLoss: 0.002432, Accuracy: 100.00\n",
      "Train Epoch: 291 [23040/50000 (51%)]\tLoss: 0.001501, Accuracy: 100.00\n",
      "Train Epoch: 291 [25600/50000 (57%)]\tLoss: 0.001465, Accuracy: 100.00\n",
      "Train Epoch: 291 [28160/50000 (62%)]\tLoss: 0.001842, Accuracy: 100.00\n",
      "Train Epoch: 291 [30720/50000 (68%)]\tLoss: 0.002076, Accuracy: 100.00\n",
      "Train Epoch: 291 [33280/50000 (74%)]\tLoss: 0.002182, Accuracy: 100.00\n",
      "Train Epoch: 291 [35840/50000 (80%)]\tLoss: 0.002902, Accuracy: 100.00\n",
      "Train Epoch: 291 [38400/50000 (85%)]\tLoss: 0.001784, Accuracy: 100.00\n",
      "Train Epoch: 291 [40960/50000 (91%)]\tLoss: 0.001317, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 291 [43520/50000 (97%)]\tLoss: 0.001539, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2877, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.916913747787476 s]\n",
      "Train Epoch: 292 [0/50000 (0%)]\tLoss: 0.001812, Accuracy: 100.00\n",
      "Train Epoch: 292 [2560/50000 (6%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "Train Epoch: 292 [5120/50000 (11%)]\tLoss: 0.001690, Accuracy: 100.00\n",
      "Train Epoch: 292 [7680/50000 (17%)]\tLoss: 0.001937, Accuracy: 100.00\n",
      "Train Epoch: 292 [10240/50000 (23%)]\tLoss: 0.001650, Accuracy: 100.00\n",
      "Train Epoch: 292 [12800/50000 (28%)]\tLoss: 0.002525, Accuracy: 100.00\n",
      "Train Epoch: 292 [15360/50000 (34%)]\tLoss: 0.001443, Accuracy: 100.00\n",
      "Train Epoch: 292 [17920/50000 (40%)]\tLoss: 0.001591, Accuracy: 100.00\n",
      "Train Epoch: 292 [20480/50000 (45%)]\tLoss: 0.001737, Accuracy: 100.00\n",
      "Train Epoch: 292 [23040/50000 (51%)]\tLoss: 0.002046, Accuracy: 100.00\n",
      "Train Epoch: 292 [25600/50000 (57%)]\tLoss: 0.001620, Accuracy: 100.00\n",
      "Train Epoch: 292 [28160/50000 (62%)]\tLoss: 0.002951, Accuracy: 100.00\n",
      "Train Epoch: 292 [30720/50000 (68%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 292 [33280/50000 (74%)]\tLoss: 0.002457, Accuracy: 100.00\n",
      "Train Epoch: 292 [35840/50000 (80%)]\tLoss: 0.002480, Accuracy: 100.00\n",
      "Train Epoch: 292 [38400/50000 (85%)]\tLoss: 0.002183, Accuracy: 100.00\n",
      "Train Epoch: 292 [40960/50000 (91%)]\tLoss: 0.001421, Accuracy: 100.00\n",
      "Train Epoch: 292 [43520/50000 (97%)]\tLoss: 0.001564, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2859, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.994667053222656 s]\n",
      "Train Epoch: 293 [0/50000 (0%)]\tLoss: 0.001943, Accuracy: 100.00\n",
      "Train Epoch: 293 [2560/50000 (6%)]\tLoss: 0.001675, Accuracy: 100.00\n",
      "Train Epoch: 293 [5120/50000 (11%)]\tLoss: 0.002003, Accuracy: 100.00\n",
      "Train Epoch: 293 [7680/50000 (17%)]\tLoss: 0.001437, Accuracy: 100.00\n",
      "Train Epoch: 293 [10240/50000 (23%)]\tLoss: 0.002439, Accuracy: 100.00\n",
      "Train Epoch: 293 [12800/50000 (28%)]\tLoss: 0.002167, Accuracy: 100.00\n",
      "Train Epoch: 293 [15360/50000 (34%)]\tLoss: 0.001354, Accuracy: 100.00\n",
      "Train Epoch: 293 [17920/50000 (40%)]\tLoss: 0.001455, Accuracy: 100.00\n",
      "Train Epoch: 293 [20480/50000 (45%)]\tLoss: 0.002038, Accuracy: 100.00\n",
      "Train Epoch: 293 [23040/50000 (51%)]\tLoss: 0.001692, Accuracy: 100.00\n",
      "Train Epoch: 293 [25600/50000 (57%)]\tLoss: 0.001410, Accuracy: 100.00\n",
      "Train Epoch: 293 [28160/50000 (62%)]\tLoss: 0.001456, Accuracy: 100.00\n",
      "Train Epoch: 293 [30720/50000 (68%)]\tLoss: 0.002989, Accuracy: 100.00\n",
      "Train Epoch: 293 [33280/50000 (74%)]\tLoss: 0.001452, Accuracy: 100.00\n",
      "Train Epoch: 293 [35840/50000 (80%)]\tLoss: 0.001412, Accuracy: 100.00\n",
      "Train Epoch: 293 [38400/50000 (85%)]\tLoss: 0.001924, Accuracy: 100.00\n",
      "Train Epoch: 293 [40960/50000 (91%)]\tLoss: 0.001498, Accuracy: 100.00\n",
      "Train Epoch: 293 [43520/50000 (97%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2868, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.02707839012146 s]\n",
      "Train Epoch: 294 [0/50000 (0%)]\tLoss: 0.001620, Accuracy: 100.00\n",
      "Train Epoch: 294 [2560/50000 (6%)]\tLoss: 0.002084, Accuracy: 100.00\n",
      "Train Epoch: 294 [5120/50000 (11%)]\tLoss: 0.001636, Accuracy: 100.00\n",
      "Train Epoch: 294 [7680/50000 (17%)]\tLoss: 0.005485, Accuracy: 99.80\n",
      "Train Epoch: 294 [10240/50000 (23%)]\tLoss: 0.002189, Accuracy: 100.00\n",
      "Train Epoch: 294 [12800/50000 (28%)]\tLoss: 0.001634, Accuracy: 100.00\n",
      "Train Epoch: 294 [15360/50000 (34%)]\tLoss: 0.002331, Accuracy: 100.00\n",
      "Train Epoch: 294 [17920/50000 (40%)]\tLoss: 0.002215, Accuracy: 100.00\n",
      "Train Epoch: 294 [20480/50000 (45%)]\tLoss: 0.002066, Accuracy: 100.00\n",
      "Train Epoch: 294 [23040/50000 (51%)]\tLoss: 0.001443, Accuracy: 100.00\n",
      "Train Epoch: 294 [25600/50000 (57%)]\tLoss: 0.002414, Accuracy: 100.00\n",
      "Train Epoch: 294 [28160/50000 (62%)]\tLoss: 0.002208, Accuracy: 100.00\n",
      "Train Epoch: 294 [30720/50000 (68%)]\tLoss: 0.001793, Accuracy: 100.00\n",
      "Train Epoch: 294 [33280/50000 (74%)]\tLoss: 0.001729, Accuracy: 100.00\n",
      "Train Epoch: 294 [35840/50000 (80%)]\tLoss: 0.001376, Accuracy: 100.00\n",
      "Train Epoch: 294 [38400/50000 (85%)]\tLoss: 0.001999, Accuracy: 100.00\n",
      "Train Epoch: 294 [40960/50000 (91%)]\tLoss: 0.001434, Accuracy: 100.00\n",
      "Train Epoch: 294 [43520/50000 (97%)]\tLoss: 0.001761, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2867, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.02678966522217 s]\n",
      "Train Epoch: 295 [0/50000 (0%)]\tLoss: 0.001543, Accuracy: 100.00\n",
      "Train Epoch: 295 [2560/50000 (6%)]\tLoss: 0.002518, Accuracy: 100.00\n",
      "Train Epoch: 295 [5120/50000 (11%)]\tLoss: 0.001549, Accuracy: 100.00\n",
      "Train Epoch: 295 [7680/50000 (17%)]\tLoss: 0.002658, Accuracy: 100.00\n",
      "Train Epoch: 295 [10240/50000 (23%)]\tLoss: 0.001709, Accuracy: 100.00\n",
      "Train Epoch: 295 [12800/50000 (28%)]\tLoss: 0.001361, Accuracy: 100.00\n",
      "Train Epoch: 295 [15360/50000 (34%)]\tLoss: 0.001866, Accuracy: 100.00\n",
      "Train Epoch: 295 [17920/50000 (40%)]\tLoss: 0.001984, Accuracy: 100.00\n",
      "Train Epoch: 295 [20480/50000 (45%)]\tLoss: 0.002612, Accuracy: 100.00\n",
      "Train Epoch: 295 [23040/50000 (51%)]\tLoss: 0.001768, Accuracy: 100.00\n",
      "Train Epoch: 295 [25600/50000 (57%)]\tLoss: 0.002260, Accuracy: 100.00\n",
      "Train Epoch: 295 [28160/50000 (62%)]\tLoss: 0.001986, Accuracy: 100.00\n",
      "Train Epoch: 295 [30720/50000 (68%)]\tLoss: 0.001423, Accuracy: 100.00\n",
      "Train Epoch: 295 [33280/50000 (74%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 295 [35840/50000 (80%)]\tLoss: 0.001808, Accuracy: 100.00\n",
      "Train Epoch: 295 [38400/50000 (85%)]\tLoss: 0.001504, Accuracy: 100.00\n",
      "Train Epoch: 295 [40960/50000 (91%)]\tLoss: 0.001996, Accuracy: 100.00\n",
      "Train Epoch: 295 [43520/50000 (97%)]\tLoss: 0.001270, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2871, Accuracy: 4689/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00314521789551 s]\n",
      "Train Epoch: 296 [0/50000 (0%)]\tLoss: 0.001602, Accuracy: 100.00\n",
      "Train Epoch: 296 [2560/50000 (6%)]\tLoss: 0.002565, Accuracy: 100.00\n",
      "Train Epoch: 296 [5120/50000 (11%)]\tLoss: 0.001922, Accuracy: 100.00\n",
      "Train Epoch: 296 [7680/50000 (17%)]\tLoss: 0.001759, Accuracy: 100.00\n",
      "Train Epoch: 296 [10240/50000 (23%)]\tLoss: 0.001465, Accuracy: 100.00\n",
      "Train Epoch: 296 [12800/50000 (28%)]\tLoss: 0.002706, Accuracy: 100.00\n",
      "Train Epoch: 296 [15360/50000 (34%)]\tLoss: 0.002884, Accuracy: 100.00\n",
      "Train Epoch: 296 [17920/50000 (40%)]\tLoss: 0.001509, Accuracy: 100.00\n",
      "Train Epoch: 296 [20480/50000 (45%)]\tLoss: 0.002671, Accuracy: 100.00\n",
      "Train Epoch: 296 [23040/50000 (51%)]\tLoss: 0.001687, Accuracy: 100.00\n",
      "Train Epoch: 296 [25600/50000 (57%)]\tLoss: 0.001487, Accuracy: 100.00\n",
      "Train Epoch: 296 [28160/50000 (62%)]\tLoss: 0.002079, Accuracy: 100.00\n",
      "Train Epoch: 296 [30720/50000 (68%)]\tLoss: 0.003082, Accuracy: 99.80\n",
      "Train Epoch: 296 [33280/50000 (74%)]\tLoss: 0.001947, Accuracy: 100.00\n",
      "Train Epoch: 296 [35840/50000 (80%)]\tLoss: 0.001676, Accuracy: 100.00\n",
      "Train Epoch: 296 [38400/50000 (85%)]\tLoss: 0.001899, Accuracy: 100.00\n",
      "Train Epoch: 296 [40960/50000 (91%)]\tLoss: 0.001644, Accuracy: 100.00\n",
      "Train Epoch: 296 [43520/50000 (97%)]\tLoss: 0.004416, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2866, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.97284984588623 s]\n",
      "Train Epoch: 297 [0/50000 (0%)]\tLoss: 0.001680, Accuracy: 100.00\n",
      "Train Epoch: 297 [2560/50000 (6%)]\tLoss: 0.001536, Accuracy: 100.00\n",
      "Train Epoch: 297 [5120/50000 (11%)]\tLoss: 0.002042, Accuracy: 100.00\n",
      "Train Epoch: 297 [7680/50000 (17%)]\tLoss: 0.002198, Accuracy: 100.00\n",
      "Train Epoch: 297 [10240/50000 (23%)]\tLoss: 0.001682, Accuracy: 100.00\n",
      "Train Epoch: 297 [12800/50000 (28%)]\tLoss: 0.001586, Accuracy: 100.00\n",
      "Train Epoch: 297 [15360/50000 (34%)]\tLoss: 0.001660, Accuracy: 100.00\n",
      "Train Epoch: 297 [17920/50000 (40%)]\tLoss: 0.002104, Accuracy: 100.00\n",
      "Train Epoch: 297 [20480/50000 (45%)]\tLoss: 0.001448, Accuracy: 100.00\n",
      "Train Epoch: 297 [23040/50000 (51%)]\tLoss: 0.002386, Accuracy: 100.00\n",
      "Train Epoch: 297 [25600/50000 (57%)]\tLoss: 0.002933, Accuracy: 100.00\n",
      "Train Epoch: 297 [28160/50000 (62%)]\tLoss: 0.001792, Accuracy: 100.00\n",
      "Train Epoch: 297 [30720/50000 (68%)]\tLoss: 0.001578, Accuracy: 100.00\n",
      "Train Epoch: 297 [33280/50000 (74%)]\tLoss: 0.004603, Accuracy: 99.80\n",
      "Train Epoch: 297 [35840/50000 (80%)]\tLoss: 0.001623, Accuracy: 100.00\n",
      "Train Epoch: 297 [38400/50000 (85%)]\tLoss: 0.002430, Accuracy: 100.00\n",
      "Train Epoch: 297 [40960/50000 (91%)]\tLoss: 0.001600, Accuracy: 100.00\n",
      "Train Epoch: 297 [43520/50000 (97%)]\tLoss: 0.002318, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Validation set: Average loss: 0.2863, Accuracy: 4686/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.584794998168945 s]\n",
      "Train Epoch: 298 [0/50000 (0%)]\tLoss: 0.002162, Accuracy: 100.00\n",
      "Train Epoch: 298 [2560/50000 (6%)]\tLoss: 0.001474, Accuracy: 100.00\n",
      "Train Epoch: 298 [5120/50000 (11%)]\tLoss: 0.001925, Accuracy: 100.00\n",
      "Train Epoch: 298 [7680/50000 (17%)]\tLoss: 0.001453, Accuracy: 100.00\n",
      "Train Epoch: 298 [10240/50000 (23%)]\tLoss: 0.001528, Accuracy: 100.00\n",
      "Train Epoch: 298 [12800/50000 (28%)]\tLoss: 0.002226, Accuracy: 100.00\n",
      "Train Epoch: 298 [15360/50000 (34%)]\tLoss: 0.001259, Accuracy: 100.00\n",
      "Train Epoch: 298 [17920/50000 (40%)]\tLoss: 0.001656, Accuracy: 100.00\n",
      "Train Epoch: 298 [20480/50000 (45%)]\tLoss: 0.001757, Accuracy: 100.00\n",
      "Train Epoch: 298 [23040/50000 (51%)]\tLoss: 0.002748, Accuracy: 100.00\n",
      "Train Epoch: 298 [25600/50000 (57%)]\tLoss: 0.003082, Accuracy: 100.00\n",
      "Train Epoch: 298 [28160/50000 (62%)]\tLoss: 0.001460, Accuracy: 100.00\n",
      "Train Epoch: 298 [30720/50000 (68%)]\tLoss: 0.002740, Accuracy: 100.00\n",
      "Train Epoch: 298 [33280/50000 (74%)]\tLoss: 0.001719, Accuracy: 100.00\n",
      "Train Epoch: 298 [35840/50000 (80%)]\tLoss: 0.001745, Accuracy: 100.00\n",
      "Train Epoch: 298 [38400/50000 (85%)]\tLoss: 0.001812, Accuracy: 100.00\n",
      "Train Epoch: 298 [40960/50000 (91%)]\tLoss: 0.003115, Accuracy: 99.80\n",
      "Train Epoch: 298 [43520/50000 (97%)]\tLoss: 0.001559, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2862, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.93817114830017 s]\n",
      "Train Epoch: 299 [0/50000 (0%)]\tLoss: 0.001384, Accuracy: 100.00\n",
      "Train Epoch: 299 [2560/50000 (6%)]\tLoss: 0.002925, Accuracy: 100.00\n",
      "Train Epoch: 299 [5120/50000 (11%)]\tLoss: 0.001447, Accuracy: 100.00\n",
      "Train Epoch: 299 [7680/50000 (17%)]\tLoss: 0.001343, Accuracy: 100.00\n",
      "Train Epoch: 299 [10240/50000 (23%)]\tLoss: 0.002449, Accuracy: 100.00\n",
      "Train Epoch: 299 [12800/50000 (28%)]\tLoss: 0.001936, Accuracy: 100.00\n",
      "Train Epoch: 299 [15360/50000 (34%)]\tLoss: 0.004204, Accuracy: 99.80\n",
      "Train Epoch: 299 [17920/50000 (40%)]\tLoss: 0.002767, Accuracy: 100.00\n",
      "Train Epoch: 299 [20480/50000 (45%)]\tLoss: 0.001568, Accuracy: 100.00\n",
      "Train Epoch: 299 [23040/50000 (51%)]\tLoss: 0.002045, Accuracy: 100.00\n",
      "Train Epoch: 299 [25600/50000 (57%)]\tLoss: 0.002435, Accuracy: 100.00\n",
      "Train Epoch: 299 [28160/50000 (62%)]\tLoss: 0.001647, Accuracy: 100.00\n",
      "Train Epoch: 299 [30720/50000 (68%)]\tLoss: 0.001621, Accuracy: 100.00\n",
      "Train Epoch: 299 [33280/50000 (74%)]\tLoss: 0.001629, Accuracy: 100.00\n",
      "Train Epoch: 299 [35840/50000 (80%)]\tLoss: 0.003774, Accuracy: 100.00\n",
      "Train Epoch: 299 [38400/50000 (85%)]\tLoss: 0.001421, Accuracy: 100.00\n",
      "Train Epoch: 299 [40960/50000 (91%)]\tLoss: 0.001483, Accuracy: 100.00\n",
      "Train Epoch: 299 [43520/50000 (97%)]\tLoss: 0.003307, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2868, Accuracy: 4688/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.988542556762695 s]\n",
      "Train Epoch: 300 [0/50000 (0%)]\tLoss: 0.002056, Accuracy: 100.00\n",
      "Train Epoch: 300 [2560/50000 (6%)]\tLoss: 0.001848, Accuracy: 100.00\n",
      "Train Epoch: 300 [5120/50000 (11%)]\tLoss: 0.002369, Accuracy: 100.00\n",
      "Train Epoch: 300 [7680/50000 (17%)]\tLoss: 0.001654, Accuracy: 100.00\n",
      "Train Epoch: 300 [10240/50000 (23%)]\tLoss: 0.002267, Accuracy: 100.00\n",
      "Train Epoch: 300 [12800/50000 (28%)]\tLoss: 0.002178, Accuracy: 100.00\n",
      "Train Epoch: 300 [15360/50000 (34%)]\tLoss: 0.002756, Accuracy: 100.00\n",
      "Train Epoch: 300 [17920/50000 (40%)]\tLoss: 0.001373, Accuracy: 100.00\n",
      "Train Epoch: 300 [20480/50000 (45%)]\tLoss: 0.001284, Accuracy: 100.00\n",
      "Train Epoch: 300 [23040/50000 (51%)]\tLoss: 0.001728, Accuracy: 100.00\n",
      "Train Epoch: 300 [25600/50000 (57%)]\tLoss: 0.002351, Accuracy: 100.00\n",
      "Train Epoch: 300 [28160/50000 (62%)]\tLoss: 0.001546, Accuracy: 100.00\n",
      "Train Epoch: 300 [30720/50000 (68%)]\tLoss: 0.001673, Accuracy: 100.00\n",
      "Train Epoch: 300 [33280/50000 (74%)]\tLoss: 0.001540, Accuracy: 100.00\n",
      "Train Epoch: 300 [35840/50000 (80%)]\tLoss: 0.001953, Accuracy: 100.00\n",
      "Train Epoch: 300 [38400/50000 (85%)]\tLoss: 0.001611, Accuracy: 100.00\n",
      "Train Epoch: 300 [40960/50000 (91%)]\tLoss: 0.002273, Accuracy: 100.00\n",
      "Train Epoch: 300 [43520/50000 (97%)]\tLoss: 0.003136, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2857, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.956944704055786 s]\n",
      "\n",
      "Test set: Average loss: 0.3218, Accuracy: 9321/10000 (93.21%)\n",
      "\n",
      "Train Epoch: 301 [0/50000 (0%)]\tLoss: 0.001923, Accuracy: 100.00\n",
      "Train Epoch: 301 [2560/50000 (6%)]\tLoss: 0.001405, Accuracy: 100.00\n",
      "Train Epoch: 301 [5120/50000 (11%)]\tLoss: 0.001827, Accuracy: 100.00\n",
      "Train Epoch: 301 [7680/50000 (17%)]\tLoss: 0.001962, Accuracy: 100.00\n",
      "Train Epoch: 301 [10240/50000 (23%)]\tLoss: 0.001516, Accuracy: 100.00\n",
      "Train Epoch: 301 [12800/50000 (28%)]\tLoss: 0.004576, Accuracy: 99.80\n",
      "Train Epoch: 301 [15360/50000 (34%)]\tLoss: 0.002940, Accuracy: 100.00\n",
      "Train Epoch: 301 [17920/50000 (40%)]\tLoss: 0.001540, Accuracy: 100.00\n",
      "Train Epoch: 301 [20480/50000 (45%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 301 [23040/50000 (51%)]\tLoss: 0.002542, Accuracy: 100.00\n",
      "Train Epoch: 301 [25600/50000 (57%)]\tLoss: 0.001585, Accuracy: 100.00\n",
      "Train Epoch: 301 [28160/50000 (62%)]\tLoss: 0.003261, Accuracy: 99.80\n",
      "Train Epoch: 301 [30720/50000 (68%)]\tLoss: 0.001417, Accuracy: 100.00\n",
      "Train Epoch: 301 [33280/50000 (74%)]\tLoss: 0.002046, Accuracy: 100.00\n",
      "Train Epoch: 301 [35840/50000 (80%)]\tLoss: 0.001467, Accuracy: 100.00\n",
      "Train Epoch: 301 [38400/50000 (85%)]\tLoss: 0.001996, Accuracy: 100.00\n",
      "Train Epoch: 301 [40960/50000 (91%)]\tLoss: 0.001678, Accuracy: 100.00\n",
      "Train Epoch: 301 [43520/50000 (97%)]\tLoss: 0.001353, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2879, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.864365577697754 s]\n",
      "Train Epoch: 302 [0/50000 (0%)]\tLoss: 0.001547, Accuracy: 100.00\n",
      "Train Epoch: 302 [2560/50000 (6%)]\tLoss: 0.002473, Accuracy: 100.00\n",
      "Train Epoch: 302 [5120/50000 (11%)]\tLoss: 0.001998, Accuracy: 100.00\n",
      "Train Epoch: 302 [7680/50000 (17%)]\tLoss: 0.001236, Accuracy: 100.00\n",
      "Train Epoch: 302 [10240/50000 (23%)]\tLoss: 0.001715, Accuracy: 100.00\n",
      "Train Epoch: 302 [12800/50000 (28%)]\tLoss: 0.001528, Accuracy: 100.00\n",
      "Train Epoch: 302 [15360/50000 (34%)]\tLoss: 0.001701, Accuracy: 100.00\n",
      "Train Epoch: 302 [17920/50000 (40%)]\tLoss: 0.002173, Accuracy: 100.00\n",
      "Train Epoch: 302 [20480/50000 (45%)]\tLoss: 0.002316, Accuracy: 100.00\n",
      "Train Epoch: 302 [23040/50000 (51%)]\tLoss: 0.002519, Accuracy: 100.00\n",
      "Train Epoch: 302 [25600/50000 (57%)]\tLoss: 0.004895, Accuracy: 99.80\n",
      "Train Epoch: 302 [28160/50000 (62%)]\tLoss: 0.002018, Accuracy: 100.00\n",
      "Train Epoch: 302 [30720/50000 (68%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 302 [33280/50000 (74%)]\tLoss: 0.002502, Accuracy: 100.00\n",
      "Train Epoch: 302 [35840/50000 (80%)]\tLoss: 0.001558, Accuracy: 100.00\n",
      "Train Epoch: 302 [38400/50000 (85%)]\tLoss: 0.001644, Accuracy: 100.00\n",
      "Train Epoch: 302 [40960/50000 (91%)]\tLoss: 0.001713, Accuracy: 100.00\n",
      "Train Epoch: 302 [43520/50000 (97%)]\tLoss: 0.001666, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2873, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.009995460510254 s]\n",
      "Train Epoch: 303 [0/50000 (0%)]\tLoss: 0.001719, Accuracy: 100.00\n",
      "Train Epoch: 303 [2560/50000 (6%)]\tLoss: 0.001421, Accuracy: 100.00\n",
      "Train Epoch: 303 [5120/50000 (11%)]\tLoss: 0.001563, Accuracy: 100.00\n",
      "Train Epoch: 303 [7680/50000 (17%)]\tLoss: 0.001828, Accuracy: 100.00\n",
      "Train Epoch: 303 [10240/50000 (23%)]\tLoss: 0.001733, Accuracy: 100.00\n",
      "Train Epoch: 303 [12800/50000 (28%)]\tLoss: 0.001391, Accuracy: 100.00\n",
      "Train Epoch: 303 [15360/50000 (34%)]\tLoss: 0.003991, Accuracy: 100.00\n",
      "Train Epoch: 303 [17920/50000 (40%)]\tLoss: 0.003063, Accuracy: 100.00\n",
      "Train Epoch: 303 [20480/50000 (45%)]\tLoss: 0.002012, Accuracy: 100.00\n",
      "Train Epoch: 303 [23040/50000 (51%)]\tLoss: 0.001870, Accuracy: 100.00\n",
      "Train Epoch: 303 [25600/50000 (57%)]\tLoss: 0.001936, Accuracy: 100.00\n",
      "Train Epoch: 303 [28160/50000 (62%)]\tLoss: 0.002209, Accuracy: 100.00\n",
      "Train Epoch: 303 [30720/50000 (68%)]\tLoss: 0.001633, Accuracy: 100.00\n",
      "Train Epoch: 303 [33280/50000 (74%)]\tLoss: 0.001841, Accuracy: 100.00\n",
      "Train Epoch: 303 [35840/50000 (80%)]\tLoss: 0.001690, Accuracy: 100.00\n",
      "Train Epoch: 303 [38400/50000 (85%)]\tLoss: 0.003014, Accuracy: 100.00\n",
      "Train Epoch: 303 [40960/50000 (91%)]\tLoss: 0.001857, Accuracy: 100.00\n",
      "Train Epoch: 303 [43520/50000 (97%)]\tLoss: 0.002723, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Validation set: Average loss: 0.2865, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01662087440491 s]\n",
      "Train Epoch: 304 [0/50000 (0%)]\tLoss: 0.001423, Accuracy: 100.00\n",
      "Train Epoch: 304 [2560/50000 (6%)]\tLoss: 0.001318, Accuracy: 100.00\n",
      "Train Epoch: 304 [5120/50000 (11%)]\tLoss: 0.002055, Accuracy: 100.00\n",
      "Train Epoch: 304 [7680/50000 (17%)]\tLoss: 0.001598, Accuracy: 100.00\n",
      "Train Epoch: 304 [10240/50000 (23%)]\tLoss: 0.001497, Accuracy: 100.00\n",
      "Train Epoch: 304 [12800/50000 (28%)]\tLoss: 0.002328, Accuracy: 100.00\n",
      "Train Epoch: 304 [15360/50000 (34%)]\tLoss: 0.001575, Accuracy: 100.00\n",
      "Train Epoch: 304 [17920/50000 (40%)]\tLoss: 0.001708, Accuracy: 100.00\n",
      "Train Epoch: 304 [20480/50000 (45%)]\tLoss: 0.001829, Accuracy: 100.00\n",
      "Train Epoch: 304 [23040/50000 (51%)]\tLoss: 0.002353, Accuracy: 100.00\n",
      "Train Epoch: 304 [25600/50000 (57%)]\tLoss: 0.001892, Accuracy: 100.00\n",
      "Train Epoch: 304 [28160/50000 (62%)]\tLoss: 0.002910, Accuracy: 100.00\n",
      "Train Epoch: 304 [30720/50000 (68%)]\tLoss: 0.002334, Accuracy: 100.00\n",
      "Train Epoch: 304 [33280/50000 (74%)]\tLoss: 0.001523, Accuracy: 100.00\n",
      "Train Epoch: 304 [35840/50000 (80%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 304 [38400/50000 (85%)]\tLoss: 0.002051, Accuracy: 100.00\n",
      "Train Epoch: 304 [40960/50000 (91%)]\tLoss: 0.001487, Accuracy: 100.00\n",
      "Train Epoch: 304 [43520/50000 (97%)]\tLoss: 0.001411, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2870, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.06301760673523 s]\n",
      "Train Epoch: 305 [0/50000 (0%)]\tLoss: 0.001650, Accuracy: 100.00\n",
      "Train Epoch: 305 [2560/50000 (6%)]\tLoss: 0.001223, Accuracy: 100.00\n",
      "Train Epoch: 305 [5120/50000 (11%)]\tLoss: 0.001367, Accuracy: 100.00\n",
      "Train Epoch: 305 [7680/50000 (17%)]\tLoss: 0.001457, Accuracy: 100.00\n",
      "Train Epoch: 305 [10240/50000 (23%)]\tLoss: 0.001529, Accuracy: 100.00\n",
      "Train Epoch: 305 [12800/50000 (28%)]\tLoss: 0.001640, Accuracy: 100.00\n",
      "Train Epoch: 305 [15360/50000 (34%)]\tLoss: 0.001792, Accuracy: 100.00\n",
      "Train Epoch: 305 [17920/50000 (40%)]\tLoss: 0.002632, Accuracy: 100.00\n",
      "Train Epoch: 305 [20480/50000 (45%)]\tLoss: 0.001845, Accuracy: 100.00\n",
      "Train Epoch: 305 [23040/50000 (51%)]\tLoss: 0.001886, Accuracy: 100.00\n",
      "Train Epoch: 305 [25600/50000 (57%)]\tLoss: 0.002280, Accuracy: 100.00\n",
      "Train Epoch: 305 [28160/50000 (62%)]\tLoss: 0.001959, Accuracy: 100.00\n",
      "Train Epoch: 305 [30720/50000 (68%)]\tLoss: 0.002922, Accuracy: 100.00\n",
      "Train Epoch: 305 [33280/50000 (74%)]\tLoss: 0.001672, Accuracy: 100.00\n",
      "Train Epoch: 305 [35840/50000 (80%)]\tLoss: 0.001885, Accuracy: 100.00\n",
      "Train Epoch: 305 [38400/50000 (85%)]\tLoss: 0.001780, Accuracy: 100.00\n",
      "Train Epoch: 305 [40960/50000 (91%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 305 [43520/50000 (97%)]\tLoss: 0.001335, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2868, Accuracy: 4677/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.999138593673706 s]\n",
      "Train Epoch: 306 [0/50000 (0%)]\tLoss: 0.002587, Accuracy: 100.00\n",
      "Train Epoch: 306 [2560/50000 (6%)]\tLoss: 0.001662, Accuracy: 100.00\n",
      "Train Epoch: 306 [5120/50000 (11%)]\tLoss: 0.002009, Accuracy: 100.00\n",
      "Train Epoch: 306 [7680/50000 (17%)]\tLoss: 0.006903, Accuracy: 99.80\n",
      "Train Epoch: 306 [10240/50000 (23%)]\tLoss: 0.003073, Accuracy: 99.80\n",
      "Train Epoch: 306 [12800/50000 (28%)]\tLoss: 0.002035, Accuracy: 100.00\n",
      "Train Epoch: 306 [15360/50000 (34%)]\tLoss: 0.001467, Accuracy: 100.00\n",
      "Train Epoch: 306 [17920/50000 (40%)]\tLoss: 0.001760, Accuracy: 100.00\n",
      "Train Epoch: 306 [20480/50000 (45%)]\tLoss: 0.006191, Accuracy: 99.80\n",
      "Train Epoch: 306 [23040/50000 (51%)]\tLoss: 0.001997, Accuracy: 100.00\n",
      "Train Epoch: 306 [25600/50000 (57%)]\tLoss: 0.001900, Accuracy: 100.00\n",
      "Train Epoch: 306 [28160/50000 (62%)]\tLoss: 0.001309, Accuracy: 100.00\n",
      "Train Epoch: 306 [30720/50000 (68%)]\tLoss: 0.001783, Accuracy: 100.00\n",
      "Train Epoch: 306 [33280/50000 (74%)]\tLoss: 0.002724, Accuracy: 100.00\n",
      "Train Epoch: 306 [35840/50000 (80%)]\tLoss: 0.001687, Accuracy: 100.00\n",
      "Train Epoch: 306 [38400/50000 (85%)]\tLoss: 0.001437, Accuracy: 100.00\n",
      "Train Epoch: 306 [40960/50000 (91%)]\tLoss: 0.001933, Accuracy: 100.00\n",
      "Train Epoch: 306 [43520/50000 (97%)]\tLoss: 0.001634, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2859, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.99206256866455 s]\n",
      "Train Epoch: 307 [0/50000 (0%)]\tLoss: 0.002436, Accuracy: 100.00\n",
      "Train Epoch: 307 [2560/50000 (6%)]\tLoss: 0.002686, Accuracy: 100.00\n",
      "Train Epoch: 307 [5120/50000 (11%)]\tLoss: 0.002133, Accuracy: 100.00\n",
      "Train Epoch: 307 [7680/50000 (17%)]\tLoss: 0.001519, Accuracy: 100.00\n",
      "Train Epoch: 307 [10240/50000 (23%)]\tLoss: 0.001835, Accuracy: 100.00\n",
      "Train Epoch: 307 [12800/50000 (28%)]\tLoss: 0.002390, Accuracy: 100.00\n",
      "Train Epoch: 307 [15360/50000 (34%)]\tLoss: 0.002395, Accuracy: 100.00\n",
      "Train Epoch: 307 [17920/50000 (40%)]\tLoss: 0.002350, Accuracy: 100.00\n",
      "Train Epoch: 307 [20480/50000 (45%)]\tLoss: 0.001452, Accuracy: 100.00\n",
      "Train Epoch: 307 [23040/50000 (51%)]\tLoss: 0.001638, Accuracy: 100.00\n",
      "Train Epoch: 307 [25600/50000 (57%)]\tLoss: 0.001565, Accuracy: 100.00\n",
      "Train Epoch: 307 [28160/50000 (62%)]\tLoss: 0.001551, Accuracy: 100.00\n",
      "Train Epoch: 307 [30720/50000 (68%)]\tLoss: 0.001925, Accuracy: 100.00\n",
      "Train Epoch: 307 [33280/50000 (74%)]\tLoss: 0.001888, Accuracy: 100.00\n",
      "Train Epoch: 307 [35840/50000 (80%)]\tLoss: 0.001621, Accuracy: 100.00\n",
      "Train Epoch: 307 [38400/50000 (85%)]\tLoss: 0.001536, Accuracy: 100.00\n",
      "Train Epoch: 307 [40960/50000 (91%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "Train Epoch: 307 [43520/50000 (97%)]\tLoss: 0.002760, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2849, Accuracy: 4690/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.04865741729736 s]\n",
      "Train Epoch: 308 [0/50000 (0%)]\tLoss: 0.002087, Accuracy: 100.00\n",
      "Train Epoch: 308 [2560/50000 (6%)]\tLoss: 0.001946, Accuracy: 100.00\n",
      "Train Epoch: 308 [5120/50000 (11%)]\tLoss: 0.001617, Accuracy: 100.00\n",
      "Train Epoch: 308 [7680/50000 (17%)]\tLoss: 0.001968, Accuracy: 100.00\n",
      "Train Epoch: 308 [10240/50000 (23%)]\tLoss: 0.002553, Accuracy: 100.00\n",
      "Train Epoch: 308 [12800/50000 (28%)]\tLoss: 0.001418, Accuracy: 100.00\n",
      "Train Epoch: 308 [15360/50000 (34%)]\tLoss: 0.002349, Accuracy: 100.00\n",
      "Train Epoch: 308 [17920/50000 (40%)]\tLoss: 0.001542, Accuracy: 100.00\n",
      "Train Epoch: 308 [20480/50000 (45%)]\tLoss: 0.001331, Accuracy: 100.00\n",
      "Train Epoch: 308 [23040/50000 (51%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 308 [25600/50000 (57%)]\tLoss: 0.001366, Accuracy: 100.00\n",
      "Train Epoch: 308 [28160/50000 (62%)]\tLoss: 0.001551, Accuracy: 100.00\n",
      "Train Epoch: 308 [30720/50000 (68%)]\tLoss: 0.001785, Accuracy: 100.00\n",
      "Train Epoch: 308 [33280/50000 (74%)]\tLoss: 0.002797, Accuracy: 100.00\n",
      "Train Epoch: 308 [35840/50000 (80%)]\tLoss: 0.002024, Accuracy: 100.00\n",
      "Train Epoch: 308 [38400/50000 (85%)]\tLoss: 0.002023, Accuracy: 100.00\n",
      "Train Epoch: 308 [40960/50000 (91%)]\tLoss: 0.002142, Accuracy: 100.00\n",
      "Train Epoch: 308 [43520/50000 (97%)]\tLoss: 0.001861, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2889, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.05195450782776 s]\n",
      "Train Epoch: 309 [0/50000 (0%)]\tLoss: 0.001881, Accuracy: 100.00\n",
      "Train Epoch: 309 [2560/50000 (6%)]\tLoss: 0.002087, Accuracy: 100.00\n",
      "Train Epoch: 309 [5120/50000 (11%)]\tLoss: 0.001479, Accuracy: 100.00\n",
      "Train Epoch: 309 [7680/50000 (17%)]\tLoss: 0.001997, Accuracy: 100.00\n",
      "Train Epoch: 309 [10240/50000 (23%)]\tLoss: 0.001714, Accuracy: 100.00\n",
      "Train Epoch: 309 [12800/50000 (28%)]\tLoss: 0.001562, Accuracy: 100.00\n",
      "Train Epoch: 309 [15360/50000 (34%)]\tLoss: 0.001774, Accuracy: 100.00\n",
      "Train Epoch: 309 [17920/50000 (40%)]\tLoss: 0.002048, Accuracy: 100.00\n",
      "Train Epoch: 309 [20480/50000 (45%)]\tLoss: 0.002102, Accuracy: 100.00\n",
      "Train Epoch: 309 [23040/50000 (51%)]\tLoss: 0.001547, Accuracy: 100.00\n",
      "Train Epoch: 309 [25600/50000 (57%)]\tLoss: 0.001475, Accuracy: 100.00\n",
      "Train Epoch: 309 [28160/50000 (62%)]\tLoss: 0.001639, Accuracy: 100.00\n",
      "Train Epoch: 309 [30720/50000 (68%)]\tLoss: 0.002342, Accuracy: 100.00\n",
      "Train Epoch: 309 [33280/50000 (74%)]\tLoss: 0.001867, Accuracy: 100.00\n",
      "Train Epoch: 309 [35840/50000 (80%)]\tLoss: 0.001468, Accuracy: 100.00\n",
      "Train Epoch: 309 [38400/50000 (85%)]\tLoss: 0.002077, Accuracy: 100.00\n",
      "Train Epoch: 309 [40960/50000 (91%)]\tLoss: 0.001886, Accuracy: 100.00\n",
      "Train Epoch: 309 [43520/50000 (97%)]\tLoss: 0.002583, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2859, Accuracy: 4688/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.018571615219116 s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 310 [0/50000 (0%)]\tLoss: 0.002829, Accuracy: 100.00\n",
      "Train Epoch: 310 [2560/50000 (6%)]\tLoss: 0.001590, Accuracy: 100.00\n",
      "Train Epoch: 310 [5120/50000 (11%)]\tLoss: 0.001466, Accuracy: 100.00\n",
      "Train Epoch: 310 [7680/50000 (17%)]\tLoss: 0.001553, Accuracy: 100.00\n",
      "Train Epoch: 310 [10240/50000 (23%)]\tLoss: 0.001779, Accuracy: 100.00\n",
      "Train Epoch: 310 [12800/50000 (28%)]\tLoss: 0.001278, Accuracy: 100.00\n",
      "Train Epoch: 310 [15360/50000 (34%)]\tLoss: 0.001962, Accuracy: 100.00\n",
      "Train Epoch: 310 [17920/50000 (40%)]\tLoss: 0.001397, Accuracy: 100.00\n",
      "Train Epoch: 310 [20480/50000 (45%)]\tLoss: 0.005164, Accuracy: 99.80\n",
      "Train Epoch: 310 [23040/50000 (51%)]\tLoss: 0.002256, Accuracy: 100.00\n",
      "Train Epoch: 310 [25600/50000 (57%)]\tLoss: 0.004779, Accuracy: 99.80\n",
      "Train Epoch: 310 [28160/50000 (62%)]\tLoss: 0.002490, Accuracy: 100.00\n",
      "Train Epoch: 310 [30720/50000 (68%)]\tLoss: 0.003700, Accuracy: 100.00\n",
      "Train Epoch: 310 [33280/50000 (74%)]\tLoss: 0.001992, Accuracy: 100.00\n",
      "Train Epoch: 310 [35840/50000 (80%)]\tLoss: 0.001473, Accuracy: 100.00\n",
      "Train Epoch: 310 [38400/50000 (85%)]\tLoss: 0.001941, Accuracy: 100.00\n",
      "Train Epoch: 310 [40960/50000 (91%)]\tLoss: 0.002083, Accuracy: 100.00\n",
      "Train Epoch: 310 [43520/50000 (97%)]\tLoss: 0.001907, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2887, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96023964881897 s]\n",
      "\n",
      "Test set: Average loss: 0.3222, Accuracy: 9323/10000 (93.23%)\n",
      "\n",
      "Train Epoch: 311 [0/50000 (0%)]\tLoss: 0.001643, Accuracy: 100.00\n",
      "Train Epoch: 311 [2560/50000 (6%)]\tLoss: 0.002142, Accuracy: 100.00\n",
      "Train Epoch: 311 [5120/50000 (11%)]\tLoss: 0.001863, Accuracy: 100.00\n",
      "Train Epoch: 311 [7680/50000 (17%)]\tLoss: 0.002024, Accuracy: 100.00\n",
      "Train Epoch: 311 [10240/50000 (23%)]\tLoss: 0.001517, Accuracy: 100.00\n",
      "Train Epoch: 311 [12800/50000 (28%)]\tLoss: 0.001434, Accuracy: 100.00\n",
      "Train Epoch: 311 [15360/50000 (34%)]\tLoss: 0.001744, Accuracy: 100.00\n",
      "Train Epoch: 311 [17920/50000 (40%)]\tLoss: 0.001854, Accuracy: 100.00\n",
      "Train Epoch: 311 [20480/50000 (45%)]\tLoss: 0.002175, Accuracy: 100.00\n",
      "Train Epoch: 311 [23040/50000 (51%)]\tLoss: 0.002304, Accuracy: 100.00\n",
      "Train Epoch: 311 [25600/50000 (57%)]\tLoss: 0.001279, Accuracy: 100.00\n",
      "Train Epoch: 311 [28160/50000 (62%)]\tLoss: 0.001491, Accuracy: 100.00\n",
      "Train Epoch: 311 [30720/50000 (68%)]\tLoss: 0.002045, Accuracy: 100.00\n",
      "Train Epoch: 311 [33280/50000 (74%)]\tLoss: 0.001718, Accuracy: 100.00\n",
      "Train Epoch: 311 [35840/50000 (80%)]\tLoss: 0.002208, Accuracy: 100.00\n",
      "Train Epoch: 311 [38400/50000 (85%)]\tLoss: 0.001754, Accuracy: 100.00\n",
      "Train Epoch: 311 [40960/50000 (91%)]\tLoss: 0.001383, Accuracy: 100.00\n",
      "Train Epoch: 311 [43520/50000 (97%)]\tLoss: 0.001947, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2863, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.81513953208923 s]\n",
      "Train Epoch: 312 [0/50000 (0%)]\tLoss: 0.002790, Accuracy: 100.00\n",
      "Train Epoch: 312 [2560/50000 (6%)]\tLoss: 0.001929, Accuracy: 100.00\n",
      "Train Epoch: 312 [5120/50000 (11%)]\tLoss: 0.002154, Accuracy: 100.00\n",
      "Train Epoch: 312 [7680/50000 (17%)]\tLoss: 0.001649, Accuracy: 100.00\n",
      "Train Epoch: 312 [10240/50000 (23%)]\tLoss: 0.001801, Accuracy: 100.00\n",
      "Train Epoch: 312 [12800/50000 (28%)]\tLoss: 0.003983, Accuracy: 100.00\n",
      "Train Epoch: 312 [15360/50000 (34%)]\tLoss: 0.002182, Accuracy: 100.00\n",
      "Train Epoch: 312 [17920/50000 (40%)]\tLoss: 0.001617, Accuracy: 100.00\n",
      "Train Epoch: 312 [20480/50000 (45%)]\tLoss: 0.001634, Accuracy: 100.00\n",
      "Train Epoch: 312 [23040/50000 (51%)]\tLoss: 0.001448, Accuracy: 100.00\n",
      "Train Epoch: 312 [25600/50000 (57%)]\tLoss: 0.001269, Accuracy: 100.00\n",
      "Train Epoch: 312 [28160/50000 (62%)]\tLoss: 0.002312, Accuracy: 100.00\n",
      "Train Epoch: 312 [30720/50000 (68%)]\tLoss: 0.001303, Accuracy: 100.00\n",
      "Train Epoch: 312 [33280/50000 (74%)]\tLoss: 0.001564, Accuracy: 100.00\n",
      "Train Epoch: 312 [35840/50000 (80%)]\tLoss: 0.002060, Accuracy: 100.00\n",
      "Train Epoch: 312 [38400/50000 (85%)]\tLoss: 0.001356, Accuracy: 100.00\n",
      "Train Epoch: 312 [40960/50000 (91%)]\tLoss: 0.001852, Accuracy: 100.00\n",
      "Train Epoch: 312 [43520/50000 (97%)]\tLoss: 0.001995, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2876, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.87316632270813 s]\n",
      "Train Epoch: 313 [0/50000 (0%)]\tLoss: 0.002343, Accuracy: 100.00\n",
      "Train Epoch: 313 [2560/50000 (6%)]\tLoss: 0.002969, Accuracy: 100.00\n",
      "Train Epoch: 313 [5120/50000 (11%)]\tLoss: 0.001444, Accuracy: 100.00\n",
      "Train Epoch: 313 [7680/50000 (17%)]\tLoss: 0.001316, Accuracy: 100.00\n",
      "Train Epoch: 313 [10240/50000 (23%)]\tLoss: 0.002940, Accuracy: 100.00\n",
      "Train Epoch: 313 [12800/50000 (28%)]\tLoss: 0.001867, Accuracy: 100.00\n",
      "Train Epoch: 313 [15360/50000 (34%)]\tLoss: 0.001522, Accuracy: 100.00\n",
      "Train Epoch: 313 [17920/50000 (40%)]\tLoss: 0.001613, Accuracy: 100.00\n",
      "Train Epoch: 313 [20480/50000 (45%)]\tLoss: 0.001427, Accuracy: 100.00\n",
      "Train Epoch: 313 [23040/50000 (51%)]\tLoss: 0.002068, Accuracy: 100.00\n",
      "Train Epoch: 313 [25600/50000 (57%)]\tLoss: 0.002308, Accuracy: 100.00\n",
      "Train Epoch: 313 [28160/50000 (62%)]\tLoss: 0.001736, Accuracy: 100.00\n",
      "Train Epoch: 313 [30720/50000 (68%)]\tLoss: 0.004016, Accuracy: 100.00\n",
      "Train Epoch: 313 [33280/50000 (74%)]\tLoss: 0.001642, Accuracy: 100.00\n",
      "Train Epoch: 313 [35840/50000 (80%)]\tLoss: 0.003737, Accuracy: 100.00\n",
      "Train Epoch: 313 [38400/50000 (85%)]\tLoss: 0.002531, Accuracy: 100.00\n",
      "Train Epoch: 313 [40960/50000 (91%)]\tLoss: 0.001844, Accuracy: 100.00\n",
      "Train Epoch: 313 [43520/50000 (97%)]\tLoss: 0.002229, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2875, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.979575157165527 s]\n",
      "Train Epoch: 314 [0/50000 (0%)]\tLoss: 0.003440, Accuracy: 99.80\n",
      "Train Epoch: 314 [2560/50000 (6%)]\tLoss: 0.003310, Accuracy: 99.80\n",
      "Train Epoch: 314 [5120/50000 (11%)]\tLoss: 0.002579, Accuracy: 100.00\n",
      "Train Epoch: 314 [7680/50000 (17%)]\tLoss: 0.001977, Accuracy: 100.00\n",
      "Train Epoch: 314 [10240/50000 (23%)]\tLoss: 0.002402, Accuracy: 100.00\n",
      "Train Epoch: 314 [12800/50000 (28%)]\tLoss: 0.001486, Accuracy: 100.00\n",
      "Train Epoch: 314 [15360/50000 (34%)]\tLoss: 0.001755, Accuracy: 100.00\n",
      "Train Epoch: 314 [17920/50000 (40%)]\tLoss: 0.001770, Accuracy: 100.00\n",
      "Train Epoch: 314 [20480/50000 (45%)]\tLoss: 0.002223, Accuracy: 100.00\n",
      "Train Epoch: 314 [23040/50000 (51%)]\tLoss: 0.001355, Accuracy: 100.00\n",
      "Train Epoch: 314 [25600/50000 (57%)]\tLoss: 0.001654, Accuracy: 100.00\n",
      "Train Epoch: 314 [28160/50000 (62%)]\tLoss: 0.001830, Accuracy: 100.00\n",
      "Train Epoch: 314 [30720/50000 (68%)]\tLoss: 0.002038, Accuracy: 100.00\n",
      "Train Epoch: 314 [33280/50000 (74%)]\tLoss: 0.002627, Accuracy: 100.00\n",
      "Train Epoch: 314 [35840/50000 (80%)]\tLoss: 0.002174, Accuracy: 100.00\n",
      "Train Epoch: 314 [38400/50000 (85%)]\tLoss: 0.001458, Accuracy: 100.00\n",
      "Train Epoch: 314 [40960/50000 (91%)]\tLoss: 0.001663, Accuracy: 100.00\n",
      "Train Epoch: 314 [43520/50000 (97%)]\tLoss: 0.001881, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2866, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.0152587890625 s]\n",
      "Train Epoch: 315 [0/50000 (0%)]\tLoss: 0.001839, Accuracy: 100.00\n",
      "Train Epoch: 315 [2560/50000 (6%)]\tLoss: 0.003459, Accuracy: 100.00\n",
      "Train Epoch: 315 [5120/50000 (11%)]\tLoss: 0.001936, Accuracy: 100.00\n",
      "Train Epoch: 315 [7680/50000 (17%)]\tLoss: 0.001817, Accuracy: 100.00\n",
      "Train Epoch: 315 [10240/50000 (23%)]\tLoss: 0.002837, Accuracy: 100.00\n",
      "Train Epoch: 315 [12800/50000 (28%)]\tLoss: 0.001493, Accuracy: 100.00\n",
      "Train Epoch: 315 [15360/50000 (34%)]\tLoss: 0.001670, Accuracy: 100.00\n",
      "Train Epoch: 315 [17920/50000 (40%)]\tLoss: 0.001407, Accuracy: 100.00\n",
      "Train Epoch: 315 [20480/50000 (45%)]\tLoss: 0.002704, Accuracy: 100.00\n",
      "Train Epoch: 315 [23040/50000 (51%)]\tLoss: 0.001749, Accuracy: 100.00\n",
      "Train Epoch: 315 [25600/50000 (57%)]\tLoss: 0.001727, Accuracy: 100.00\n",
      "Train Epoch: 315 [28160/50000 (62%)]\tLoss: 0.001921, Accuracy: 100.00\n",
      "Train Epoch: 315 [30720/50000 (68%)]\tLoss: 0.001371, Accuracy: 100.00\n",
      "Train Epoch: 315 [33280/50000 (74%)]\tLoss: 0.002029, Accuracy: 100.00\n",
      "Train Epoch: 315 [35840/50000 (80%)]\tLoss: 0.002503, Accuracy: 100.00\n",
      "Train Epoch: 315 [38400/50000 (85%)]\tLoss: 0.001513, Accuracy: 100.00\n",
      "Train Epoch: 315 [40960/50000 (91%)]\tLoss: 0.001488, Accuracy: 100.00\n",
      "Train Epoch: 315 [43520/50000 (97%)]\tLoss: 0.001718, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2866, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.019484519958496 s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 316 [0/50000 (0%)]\tLoss: 0.001787, Accuracy: 100.00\n",
      "Train Epoch: 316 [2560/50000 (6%)]\tLoss: 0.003446, Accuracy: 99.80\n",
      "Train Epoch: 316 [5120/50000 (11%)]\tLoss: 0.001652, Accuracy: 100.00\n",
      "Train Epoch: 316 [7680/50000 (17%)]\tLoss: 0.001803, Accuracy: 100.00\n",
      "Train Epoch: 316 [10240/50000 (23%)]\tLoss: 0.001630, Accuracy: 100.00\n",
      "Train Epoch: 316 [12800/50000 (28%)]\tLoss: 0.002447, Accuracy: 100.00\n",
      "Train Epoch: 316 [15360/50000 (34%)]\tLoss: 0.001871, Accuracy: 100.00\n",
      "Train Epoch: 316 [17920/50000 (40%)]\tLoss: 0.003819, Accuracy: 99.80\n",
      "Train Epoch: 316 [20480/50000 (45%)]\tLoss: 0.001833, Accuracy: 100.00\n",
      "Train Epoch: 316 [23040/50000 (51%)]\tLoss: 0.001472, Accuracy: 100.00\n",
      "Train Epoch: 316 [25600/50000 (57%)]\tLoss: 0.002500, Accuracy: 100.00\n",
      "Train Epoch: 316 [28160/50000 (62%)]\tLoss: 0.001517, Accuracy: 100.00\n",
      "Train Epoch: 316 [30720/50000 (68%)]\tLoss: 0.001437, Accuracy: 100.00\n",
      "Train Epoch: 316 [33280/50000 (74%)]\tLoss: 0.001437, Accuracy: 100.00\n",
      "Train Epoch: 316 [35840/50000 (80%)]\tLoss: 0.001317, Accuracy: 100.00\n",
      "Train Epoch: 316 [38400/50000 (85%)]\tLoss: 0.005027, Accuracy: 99.80\n",
      "Train Epoch: 316 [40960/50000 (91%)]\tLoss: 0.001694, Accuracy: 100.00\n",
      "Train Epoch: 316 [43520/50000 (97%)]\tLoss: 0.004720, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2856, Accuracy: 4686/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.970837354660034 s]\n",
      "Train Epoch: 317 [0/50000 (0%)]\tLoss: 0.001765, Accuracy: 100.00\n",
      "Train Epoch: 317 [2560/50000 (6%)]\tLoss: 0.001493, Accuracy: 100.00\n",
      "Train Epoch: 317 [5120/50000 (11%)]\tLoss: 0.003204, Accuracy: 100.00\n",
      "Train Epoch: 317 [7680/50000 (17%)]\tLoss: 0.001633, Accuracy: 100.00\n",
      "Train Epoch: 317 [10240/50000 (23%)]\tLoss: 0.003105, Accuracy: 100.00\n",
      "Train Epoch: 317 [12800/50000 (28%)]\tLoss: 0.002397, Accuracy: 100.00\n",
      "Train Epoch: 317 [15360/50000 (34%)]\tLoss: 0.002378, Accuracy: 100.00\n",
      "Train Epoch: 317 [17920/50000 (40%)]\tLoss: 0.003342, Accuracy: 99.80\n",
      "Train Epoch: 317 [20480/50000 (45%)]\tLoss: 0.001573, Accuracy: 100.00\n",
      "Train Epoch: 317 [23040/50000 (51%)]\tLoss: 0.001932, Accuracy: 100.00\n",
      "Train Epoch: 317 [25600/50000 (57%)]\tLoss: 0.001391, Accuracy: 100.00\n",
      "Train Epoch: 317 [28160/50000 (62%)]\tLoss: 0.003089, Accuracy: 100.00\n",
      "Train Epoch: 317 [30720/50000 (68%)]\tLoss: 0.002624, Accuracy: 100.00\n",
      "Train Epoch: 317 [33280/50000 (74%)]\tLoss: 0.001625, Accuracy: 100.00\n",
      "Train Epoch: 317 [35840/50000 (80%)]\tLoss: 0.001546, Accuracy: 100.00\n",
      "Train Epoch: 317 [38400/50000 (85%)]\tLoss: 0.001263, Accuracy: 100.00\n",
      "Train Epoch: 317 [40960/50000 (91%)]\tLoss: 0.001954, Accuracy: 100.00\n",
      "Train Epoch: 317 [43520/50000 (97%)]\tLoss: 0.001590, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2871, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.953351736068726 s]\n",
      "Train Epoch: 318 [0/50000 (0%)]\tLoss: 0.001623, Accuracy: 100.00\n",
      "Train Epoch: 318 [2560/50000 (6%)]\tLoss: 0.001707, Accuracy: 100.00\n",
      "Train Epoch: 318 [5120/50000 (11%)]\tLoss: 0.001961, Accuracy: 100.00\n",
      "Train Epoch: 318 [7680/50000 (17%)]\tLoss: 0.001503, Accuracy: 100.00\n",
      "Train Epoch: 318 [10240/50000 (23%)]\tLoss: 0.001471, Accuracy: 100.00\n",
      "Train Epoch: 318 [12800/50000 (28%)]\tLoss: 0.001631, Accuracy: 100.00\n",
      "Train Epoch: 318 [15360/50000 (34%)]\tLoss: 0.002418, Accuracy: 100.00\n",
      "Train Epoch: 318 [17920/50000 (40%)]\tLoss: 0.001421, Accuracy: 100.00\n",
      "Train Epoch: 318 [20480/50000 (45%)]\tLoss: 0.002040, Accuracy: 100.00\n",
      "Train Epoch: 318 [23040/50000 (51%)]\tLoss: 0.003696, Accuracy: 100.00\n",
      "Train Epoch: 318 [25600/50000 (57%)]\tLoss: 0.001306, Accuracy: 100.00\n",
      "Train Epoch: 318 [28160/50000 (62%)]\tLoss: 0.002216, Accuracy: 100.00\n",
      "Train Epoch: 318 [30720/50000 (68%)]\tLoss: 0.004328, Accuracy: 99.80\n",
      "Train Epoch: 318 [33280/50000 (74%)]\tLoss: 0.001729, Accuracy: 100.00\n",
      "Train Epoch: 318 [35840/50000 (80%)]\tLoss: 0.001365, Accuracy: 100.00\n",
      "Train Epoch: 318 [38400/50000 (85%)]\tLoss: 0.002201, Accuracy: 100.00\n",
      "Train Epoch: 318 [40960/50000 (91%)]\tLoss: 0.002381, Accuracy: 100.00\n",
      "Train Epoch: 318 [43520/50000 (97%)]\tLoss: 0.001570, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2856, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.98881220817566 s]\n",
      "Train Epoch: 319 [0/50000 (0%)]\tLoss: 0.001683, Accuracy: 100.00\n",
      "Train Epoch: 319 [2560/50000 (6%)]\tLoss: 0.001360, Accuracy: 100.00\n",
      "Train Epoch: 319 [5120/50000 (11%)]\tLoss: 0.001590, Accuracy: 100.00\n",
      "Train Epoch: 319 [7680/50000 (17%)]\tLoss: 0.001559, Accuracy: 100.00\n",
      "Train Epoch: 319 [10240/50000 (23%)]\tLoss: 0.001537, Accuracy: 100.00\n",
      "Train Epoch: 319 [12800/50000 (28%)]\tLoss: 0.001452, Accuracy: 100.00\n",
      "Train Epoch: 319 [15360/50000 (34%)]\tLoss: 0.001733, Accuracy: 100.00\n",
      "Train Epoch: 319 [17920/50000 (40%)]\tLoss: 0.001980, Accuracy: 100.00\n",
      "Train Epoch: 319 [20480/50000 (45%)]\tLoss: 0.001388, Accuracy: 100.00\n",
      "Train Epoch: 319 [23040/50000 (51%)]\tLoss: 0.002098, Accuracy: 100.00\n",
      "Train Epoch: 319 [25600/50000 (57%)]\tLoss: 0.001990, Accuracy: 100.00\n",
      "Train Epoch: 319 [28160/50000 (62%)]\tLoss: 0.001774, Accuracy: 100.00\n",
      "Train Epoch: 319 [30720/50000 (68%)]\tLoss: 0.002042, Accuracy: 100.00\n",
      "Train Epoch: 319 [33280/50000 (74%)]\tLoss: 0.001385, Accuracy: 100.00\n",
      "Train Epoch: 319 [35840/50000 (80%)]\tLoss: 0.001929, Accuracy: 100.00\n",
      "Train Epoch: 319 [38400/50000 (85%)]\tLoss: 0.002057, Accuracy: 100.00\n",
      "Train Epoch: 319 [40960/50000 (91%)]\tLoss: 0.001277, Accuracy: 100.00\n",
      "Train Epoch: 319 [43520/50000 (97%)]\tLoss: 0.001879, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2846, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.06243586540222 s]\n",
      "Train Epoch: 320 [0/50000 (0%)]\tLoss: 0.001947, Accuracy: 100.00\n",
      "Train Epoch: 320 [2560/50000 (6%)]\tLoss: 0.001564, Accuracy: 100.00\n",
      "Train Epoch: 320 [5120/50000 (11%)]\tLoss: 0.001949, Accuracy: 100.00\n",
      "Train Epoch: 320 [7680/50000 (17%)]\tLoss: 0.002351, Accuracy: 100.00\n",
      "Train Epoch: 320 [10240/50000 (23%)]\tLoss: 0.003367, Accuracy: 100.00\n",
      "Train Epoch: 320 [12800/50000 (28%)]\tLoss: 0.001883, Accuracy: 100.00\n",
      "Train Epoch: 320 [15360/50000 (34%)]\tLoss: 0.002066, Accuracy: 100.00\n",
      "Train Epoch: 320 [17920/50000 (40%)]\tLoss: 0.001506, Accuracy: 100.00\n",
      "Train Epoch: 320 [20480/50000 (45%)]\tLoss: 0.001707, Accuracy: 100.00\n",
      "Train Epoch: 320 [23040/50000 (51%)]\tLoss: 0.001579, Accuracy: 100.00\n",
      "Train Epoch: 320 [25600/50000 (57%)]\tLoss: 0.001915, Accuracy: 100.00\n",
      "Train Epoch: 320 [28160/50000 (62%)]\tLoss: 0.003092, Accuracy: 100.00\n",
      "Train Epoch: 320 [30720/50000 (68%)]\tLoss: 0.002069, Accuracy: 100.00\n",
      "Train Epoch: 320 [33280/50000 (74%)]\tLoss: 0.001454, Accuracy: 100.00\n",
      "Train Epoch: 320 [35840/50000 (80%)]\tLoss: 0.001535, Accuracy: 100.00\n",
      "Train Epoch: 320 [38400/50000 (85%)]\tLoss: 0.001769, Accuracy: 100.00\n",
      "Train Epoch: 320 [40960/50000 (91%)]\tLoss: 0.001857, Accuracy: 100.00\n",
      "Train Epoch: 320 [43520/50000 (97%)]\tLoss: 0.002403, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2877, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.06358337402344 s]\n",
      "\n",
      "Test set: Average loss: 0.3210, Accuracy: 9328/10000 (93.28%)\n",
      "\n",
      "Train Epoch: 321 [0/50000 (0%)]\tLoss: 0.002660, Accuracy: 100.00\n",
      "Train Epoch: 321 [2560/50000 (6%)]\tLoss: 0.002016, Accuracy: 100.00\n",
      "Train Epoch: 321 [5120/50000 (11%)]\tLoss: 0.004975, Accuracy: 99.80\n",
      "Train Epoch: 321 [7680/50000 (17%)]\tLoss: 0.001522, Accuracy: 100.00\n",
      "Train Epoch: 321 [10240/50000 (23%)]\tLoss: 0.001622, Accuracy: 100.00\n",
      "Train Epoch: 321 [12800/50000 (28%)]\tLoss: 0.003688, Accuracy: 99.80\n",
      "Train Epoch: 321 [15360/50000 (34%)]\tLoss: 0.002017, Accuracy: 100.00\n",
      "Train Epoch: 321 [17920/50000 (40%)]\tLoss: 0.001585, Accuracy: 100.00\n",
      "Train Epoch: 321 [20480/50000 (45%)]\tLoss: 0.002306, Accuracy: 100.00\n",
      "Train Epoch: 321 [23040/50000 (51%)]\tLoss: 0.001129, Accuracy: 100.00\n",
      "Train Epoch: 321 [25600/50000 (57%)]\tLoss: 0.002243, Accuracy: 100.00\n",
      "Train Epoch: 321 [28160/50000 (62%)]\tLoss: 0.001239, Accuracy: 100.00\n",
      "Train Epoch: 321 [30720/50000 (68%)]\tLoss: 0.003336, Accuracy: 100.00\n",
      "Train Epoch: 321 [33280/50000 (74%)]\tLoss: 0.002153, Accuracy: 100.00\n",
      "Train Epoch: 321 [35840/50000 (80%)]\tLoss: 0.001617, Accuracy: 100.00\n",
      "Train Epoch: 321 [38400/50000 (85%)]\tLoss: 0.002250, Accuracy: 100.00\n",
      "Train Epoch: 321 [40960/50000 (91%)]\tLoss: 0.001678, Accuracy: 100.00\n",
      "Train Epoch: 321 [43520/50000 (97%)]\tLoss: 0.001693, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2869, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.89970946311951 s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 322 [0/50000 (0%)]\tLoss: 0.001595, Accuracy: 100.00\n",
      "Train Epoch: 322 [2560/50000 (6%)]\tLoss: 0.002028, Accuracy: 100.00\n",
      "Train Epoch: 322 [5120/50000 (11%)]\tLoss: 0.001544, Accuracy: 100.00\n",
      "Train Epoch: 322 [7680/50000 (17%)]\tLoss: 0.002503, Accuracy: 100.00\n",
      "Train Epoch: 322 [10240/50000 (23%)]\tLoss: 0.001503, Accuracy: 100.00\n",
      "Train Epoch: 322 [12800/50000 (28%)]\tLoss: 0.002710, Accuracy: 100.00\n",
      "Train Epoch: 322 [15360/50000 (34%)]\tLoss: 0.001747, Accuracy: 100.00\n",
      "Train Epoch: 322 [17920/50000 (40%)]\tLoss: 0.004419, Accuracy: 99.80\n",
      "Train Epoch: 322 [20480/50000 (45%)]\tLoss: 0.001414, Accuracy: 100.00\n",
      "Train Epoch: 322 [23040/50000 (51%)]\tLoss: 0.001822, Accuracy: 100.00\n",
      "Train Epoch: 322 [25600/50000 (57%)]\tLoss: 0.001454, Accuracy: 100.00\n",
      "Train Epoch: 322 [28160/50000 (62%)]\tLoss: 0.002063, Accuracy: 100.00\n",
      "Train Epoch: 322 [30720/50000 (68%)]\tLoss: 0.004234, Accuracy: 99.80\n",
      "Train Epoch: 322 [33280/50000 (74%)]\tLoss: 0.001541, Accuracy: 100.00\n",
      "Train Epoch: 322 [35840/50000 (80%)]\tLoss: 0.001625, Accuracy: 100.00\n",
      "Train Epoch: 322 [38400/50000 (85%)]\tLoss: 0.001573, Accuracy: 100.00\n",
      "Train Epoch: 322 [40960/50000 (91%)]\tLoss: 0.001274, Accuracy: 100.00\n",
      "Train Epoch: 322 [43520/50000 (97%)]\tLoss: 0.002433, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2851, Accuracy: 4689/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.061980962753296 s]\n",
      "Train Epoch: 323 [0/50000 (0%)]\tLoss: 0.002078, Accuracy: 100.00\n",
      "Train Epoch: 323 [2560/50000 (6%)]\tLoss: 0.001265, Accuracy: 100.00\n",
      "Train Epoch: 323 [5120/50000 (11%)]\tLoss: 0.001494, Accuracy: 100.00\n",
      "Train Epoch: 323 [7680/50000 (17%)]\tLoss: 0.003682, Accuracy: 99.80\n",
      "Train Epoch: 323 [10240/50000 (23%)]\tLoss: 0.001748, Accuracy: 100.00\n",
      "Train Epoch: 323 [12800/50000 (28%)]\tLoss: 0.001898, Accuracy: 100.00\n",
      "Train Epoch: 323 [15360/50000 (34%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "Train Epoch: 323 [17920/50000 (40%)]\tLoss: 0.001439, Accuracy: 100.00\n",
      "Train Epoch: 323 [20480/50000 (45%)]\tLoss: 0.002785, Accuracy: 100.00\n",
      "Train Epoch: 323 [23040/50000 (51%)]\tLoss: 0.001804, Accuracy: 100.00\n",
      "Train Epoch: 323 [25600/50000 (57%)]\tLoss: 0.001452, Accuracy: 100.00\n",
      "Train Epoch: 323 [28160/50000 (62%)]\tLoss: 0.002599, Accuracy: 100.00\n",
      "Train Epoch: 323 [30720/50000 (68%)]\tLoss: 0.002372, Accuracy: 100.00\n",
      "Train Epoch: 323 [33280/50000 (74%)]\tLoss: 0.001833, Accuracy: 100.00\n",
      "Train Epoch: 323 [35840/50000 (80%)]\tLoss: 0.001419, Accuracy: 100.00\n",
      "Train Epoch: 323 [38400/50000 (85%)]\tLoss: 0.001965, Accuracy: 100.00\n",
      "Train Epoch: 323 [40960/50000 (91%)]\tLoss: 0.002775, Accuracy: 100.00\n",
      "Train Epoch: 323 [43520/50000 (97%)]\tLoss: 0.001779, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2845, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.0215265750885 s]\n",
      "Train Epoch: 324 [0/50000 (0%)]\tLoss: 0.001951, Accuracy: 100.00\n",
      "Train Epoch: 324 [2560/50000 (6%)]\tLoss: 0.001432, Accuracy: 100.00\n",
      "Train Epoch: 324 [5120/50000 (11%)]\tLoss: 0.001439, Accuracy: 100.00\n",
      "Train Epoch: 324 [7680/50000 (17%)]\tLoss: 0.001826, Accuracy: 100.00\n",
      "Train Epoch: 324 [10240/50000 (23%)]\tLoss: 0.001861, Accuracy: 100.00\n",
      "Train Epoch: 324 [12800/50000 (28%)]\tLoss: 0.002470, Accuracy: 100.00\n",
      "Train Epoch: 324 [15360/50000 (34%)]\tLoss: 0.001585, Accuracy: 100.00\n",
      "Train Epoch: 324 [17920/50000 (40%)]\tLoss: 0.002041, Accuracy: 100.00\n",
      "Train Epoch: 324 [20480/50000 (45%)]\tLoss: 0.001866, Accuracy: 100.00\n",
      "Train Epoch: 324 [23040/50000 (51%)]\tLoss: 0.002170, Accuracy: 100.00\n",
      "Train Epoch: 324 [25600/50000 (57%)]\tLoss: 0.002351, Accuracy: 100.00\n",
      "Train Epoch: 324 [28160/50000 (62%)]\tLoss: 0.001892, Accuracy: 100.00\n",
      "Train Epoch: 324 [30720/50000 (68%)]\tLoss: 0.001760, Accuracy: 100.00\n",
      "Train Epoch: 324 [33280/50000 (74%)]\tLoss: 0.002317, Accuracy: 100.00\n",
      "Train Epoch: 324 [35840/50000 (80%)]\tLoss: 0.002125, Accuracy: 100.00\n",
      "Train Epoch: 324 [38400/50000 (85%)]\tLoss: 0.001820, Accuracy: 100.00\n",
      "Train Epoch: 324 [40960/50000 (91%)]\tLoss: 0.001737, Accuracy: 100.00\n",
      "Train Epoch: 324 [43520/50000 (97%)]\tLoss: 0.001586, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2872, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00644493103027 s]\n",
      "Train Epoch: 325 [0/50000 (0%)]\tLoss: 0.001535, Accuracy: 100.00\n",
      "Train Epoch: 325 [2560/50000 (6%)]\tLoss: 0.002726, Accuracy: 100.00\n",
      "Train Epoch: 325 [5120/50000 (11%)]\tLoss: 0.002465, Accuracy: 100.00\n",
      "Train Epoch: 325 [7680/50000 (17%)]\tLoss: 0.001660, Accuracy: 100.00\n",
      "Train Epoch: 325 [10240/50000 (23%)]\tLoss: 0.001678, Accuracy: 100.00\n",
      "Train Epoch: 325 [12800/50000 (28%)]\tLoss: 0.001917, Accuracy: 100.00\n",
      "Train Epoch: 325 [15360/50000 (34%)]\tLoss: 0.001436, Accuracy: 100.00\n",
      "Train Epoch: 325 [17920/50000 (40%)]\tLoss: 0.001429, Accuracy: 100.00\n",
      "Train Epoch: 325 [20480/50000 (45%)]\tLoss: 0.003124, Accuracy: 100.00\n",
      "Train Epoch: 325 [23040/50000 (51%)]\tLoss: 0.002163, Accuracy: 100.00\n",
      "Train Epoch: 325 [25600/50000 (57%)]\tLoss: 0.001598, Accuracy: 100.00\n",
      "Train Epoch: 325 [28160/50000 (62%)]\tLoss: 0.001516, Accuracy: 100.00\n",
      "Train Epoch: 325 [30720/50000 (68%)]\tLoss: 0.001110, Accuracy: 100.00\n",
      "Train Epoch: 325 [33280/50000 (74%)]\tLoss: 0.001829, Accuracy: 100.00\n",
      "Train Epoch: 325 [35840/50000 (80%)]\tLoss: 0.002016, Accuracy: 100.00\n",
      "Train Epoch: 325 [38400/50000 (85%)]\tLoss: 0.002119, Accuracy: 100.00\n",
      "Train Epoch: 325 [40960/50000 (91%)]\tLoss: 0.002373, Accuracy: 100.00\n",
      "Train Epoch: 325 [43520/50000 (97%)]\tLoss: 0.002390, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2859, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00286149978638 s]\n",
      "Train Epoch: 326 [0/50000 (0%)]\tLoss: 0.002065, Accuracy: 100.00\n",
      "Train Epoch: 326 [2560/50000 (6%)]\tLoss: 0.002214, Accuracy: 100.00\n",
      "Train Epoch: 326 [5120/50000 (11%)]\tLoss: 0.001687, Accuracy: 100.00\n",
      "Train Epoch: 326 [7680/50000 (17%)]\tLoss: 0.001427, Accuracy: 100.00\n",
      "Train Epoch: 326 [10240/50000 (23%)]\tLoss: 0.001971, Accuracy: 100.00\n",
      "Train Epoch: 326 [12800/50000 (28%)]\tLoss: 0.001892, Accuracy: 100.00\n",
      "Train Epoch: 326 [15360/50000 (34%)]\tLoss: 0.002770, Accuracy: 100.00\n",
      "Train Epoch: 326 [17920/50000 (40%)]\tLoss: 0.001604, Accuracy: 100.00\n",
      "Train Epoch: 326 [20480/50000 (45%)]\tLoss: 0.002684, Accuracy: 100.00\n",
      "Train Epoch: 326 [23040/50000 (51%)]\tLoss: 0.001380, Accuracy: 100.00\n",
      "Train Epoch: 326 [25600/50000 (57%)]\tLoss: 0.002064, Accuracy: 100.00\n",
      "Train Epoch: 326 [28160/50000 (62%)]\tLoss: 0.002972, Accuracy: 100.00\n",
      "Train Epoch: 326 [30720/50000 (68%)]\tLoss: 0.001662, Accuracy: 100.00\n",
      "Train Epoch: 326 [33280/50000 (74%)]\tLoss: 0.003024, Accuracy: 100.00\n",
      "Train Epoch: 326 [35840/50000 (80%)]\tLoss: 0.001631, Accuracy: 100.00\n",
      "Train Epoch: 326 [38400/50000 (85%)]\tLoss: 0.002523, Accuracy: 100.00\n",
      "Train Epoch: 326 [40960/50000 (91%)]\tLoss: 0.001856, Accuracy: 100.00\n",
      "Train Epoch: 326 [43520/50000 (97%)]\tLoss: 0.001760, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2870, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.04206967353821 s]\n",
      "Train Epoch: 327 [0/50000 (0%)]\tLoss: 0.002575, Accuracy: 100.00\n",
      "Train Epoch: 327 [2560/50000 (6%)]\tLoss: 0.001472, Accuracy: 100.00\n",
      "Train Epoch: 327 [5120/50000 (11%)]\tLoss: 0.001460, Accuracy: 100.00\n",
      "Train Epoch: 327 [7680/50000 (17%)]\tLoss: 0.002027, Accuracy: 100.00\n",
      "Train Epoch: 327 [10240/50000 (23%)]\tLoss: 0.001509, Accuracy: 100.00\n",
      "Train Epoch: 327 [12800/50000 (28%)]\tLoss: 0.001524, Accuracy: 100.00\n",
      "Train Epoch: 327 [15360/50000 (34%)]\tLoss: 0.002416, Accuracy: 100.00\n",
      "Train Epoch: 327 [17920/50000 (40%)]\tLoss: 0.001795, Accuracy: 100.00\n",
      "Train Epoch: 327 [20480/50000 (45%)]\tLoss: 0.002386, Accuracy: 100.00\n",
      "Train Epoch: 327 [23040/50000 (51%)]\tLoss: 0.001774, Accuracy: 100.00\n",
      "Train Epoch: 327 [25600/50000 (57%)]\tLoss: 0.001493, Accuracy: 100.00\n",
      "Train Epoch: 327 [28160/50000 (62%)]\tLoss: 0.004202, Accuracy: 100.00\n",
      "Train Epoch: 327 [30720/50000 (68%)]\tLoss: 0.001731, Accuracy: 100.00\n",
      "Train Epoch: 327 [33280/50000 (74%)]\tLoss: 0.001818, Accuracy: 100.00\n",
      "Train Epoch: 327 [35840/50000 (80%)]\tLoss: 0.001630, Accuracy: 100.00\n",
      "Train Epoch: 327 [38400/50000 (85%)]\tLoss: 0.002103, Accuracy: 100.00\n",
      "Train Epoch: 327 [40960/50000 (91%)]\tLoss: 0.003981, Accuracy: 99.80\n",
      "Train Epoch: 327 [43520/50000 (97%)]\tLoss: 0.001799, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2862, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.005807638168335 s]\n",
      "Train Epoch: 328 [0/50000 (0%)]\tLoss: 0.001644, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 328 [2560/50000 (6%)]\tLoss: 0.001580, Accuracy: 100.00\n",
      "Train Epoch: 328 [5120/50000 (11%)]\tLoss: 0.001586, Accuracy: 100.00\n",
      "Train Epoch: 328 [7680/50000 (17%)]\tLoss: 0.001394, Accuracy: 100.00\n",
      "Train Epoch: 328 [10240/50000 (23%)]\tLoss: 0.001372, Accuracy: 100.00\n",
      "Train Epoch: 328 [12800/50000 (28%)]\tLoss: 0.001827, Accuracy: 100.00\n",
      "Train Epoch: 328 [15360/50000 (34%)]\tLoss: 0.001848, Accuracy: 100.00\n",
      "Train Epoch: 328 [17920/50000 (40%)]\tLoss: 0.005287, Accuracy: 99.80\n",
      "Train Epoch: 328 [20480/50000 (45%)]\tLoss: 0.001518, Accuracy: 100.00\n",
      "Train Epoch: 328 [23040/50000 (51%)]\tLoss: 0.001808, Accuracy: 100.00\n",
      "Train Epoch: 328 [25600/50000 (57%)]\tLoss: 0.003168, Accuracy: 100.00\n",
      "Train Epoch: 328 [28160/50000 (62%)]\tLoss: 0.001819, Accuracy: 100.00\n",
      "Train Epoch: 328 [30720/50000 (68%)]\tLoss: 0.001959, Accuracy: 100.00\n",
      "Train Epoch: 328 [33280/50000 (74%)]\tLoss: 0.001442, Accuracy: 100.00\n",
      "Train Epoch: 328 [35840/50000 (80%)]\tLoss: 0.002118, Accuracy: 100.00\n",
      "Train Epoch: 328 [38400/50000 (85%)]\tLoss: 0.001464, Accuracy: 100.00\n",
      "Train Epoch: 328 [40960/50000 (91%)]\tLoss: 0.001978, Accuracy: 100.00\n",
      "Train Epoch: 328 [43520/50000 (97%)]\tLoss: 0.001450, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2858, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.997201204299927 s]\n",
      "Train Epoch: 329 [0/50000 (0%)]\tLoss: 0.001624, Accuracy: 100.00\n",
      "Train Epoch: 329 [2560/50000 (6%)]\tLoss: 0.001890, Accuracy: 100.00\n",
      "Train Epoch: 329 [5120/50000 (11%)]\tLoss: 0.001863, Accuracy: 100.00\n",
      "Train Epoch: 329 [7680/50000 (17%)]\tLoss: 0.001789, Accuracy: 100.00\n",
      "Train Epoch: 329 [10240/50000 (23%)]\tLoss: 0.004931, Accuracy: 99.80\n",
      "Train Epoch: 329 [12800/50000 (28%)]\tLoss: 0.004094, Accuracy: 99.80\n",
      "Train Epoch: 329 [15360/50000 (34%)]\tLoss: 0.003524, Accuracy: 100.00\n",
      "Train Epoch: 329 [17920/50000 (40%)]\tLoss: 0.002820, Accuracy: 100.00\n",
      "Train Epoch: 329 [20480/50000 (45%)]\tLoss: 0.002311, Accuracy: 100.00\n",
      "Train Epoch: 329 [23040/50000 (51%)]\tLoss: 0.001747, Accuracy: 100.00\n",
      "Train Epoch: 329 [25600/50000 (57%)]\tLoss: 0.001580, Accuracy: 100.00\n",
      "Train Epoch: 329 [28160/50000 (62%)]\tLoss: 0.001685, Accuracy: 100.00\n",
      "Train Epoch: 329 [30720/50000 (68%)]\tLoss: 0.001822, Accuracy: 100.00\n",
      "Train Epoch: 329 [33280/50000 (74%)]\tLoss: 0.001731, Accuracy: 100.00\n",
      "Train Epoch: 329 [35840/50000 (80%)]\tLoss: 0.002538, Accuracy: 100.00\n",
      "Train Epoch: 329 [38400/50000 (85%)]\tLoss: 0.003892, Accuracy: 99.80\n",
      "Train Epoch: 329 [40960/50000 (91%)]\tLoss: 0.002151, Accuracy: 100.00\n",
      "Train Epoch: 329 [43520/50000 (97%)]\tLoss: 0.001730, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2880, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.01333475112915 s]\n",
      "Train Epoch: 330 [0/50000 (0%)]\tLoss: 0.002208, Accuracy: 100.00\n",
      "Train Epoch: 330 [2560/50000 (6%)]\tLoss: 0.001730, Accuracy: 100.00\n",
      "Train Epoch: 330 [5120/50000 (11%)]\tLoss: 0.001449, Accuracy: 100.00\n",
      "Train Epoch: 330 [7680/50000 (17%)]\tLoss: 0.001558, Accuracy: 100.00\n",
      "Train Epoch: 330 [10240/50000 (23%)]\tLoss: 0.002317, Accuracy: 100.00\n",
      "Train Epoch: 330 [12800/50000 (28%)]\tLoss: 0.001415, Accuracy: 100.00\n",
      "Train Epoch: 330 [15360/50000 (34%)]\tLoss: 0.001469, Accuracy: 100.00\n",
      "Train Epoch: 330 [17920/50000 (40%)]\tLoss: 0.001851, Accuracy: 100.00\n",
      "Train Epoch: 330 [20480/50000 (45%)]\tLoss: 0.002288, Accuracy: 100.00\n",
      "Train Epoch: 330 [23040/50000 (51%)]\tLoss: 0.001363, Accuracy: 100.00\n",
      "Train Epoch: 330 [25600/50000 (57%)]\tLoss: 0.001744, Accuracy: 100.00\n",
      "Train Epoch: 330 [28160/50000 (62%)]\tLoss: 0.001520, Accuracy: 100.00\n",
      "Train Epoch: 330 [30720/50000 (68%)]\tLoss: 0.001768, Accuracy: 100.00\n",
      "Train Epoch: 330 [33280/50000 (74%)]\tLoss: 0.002525, Accuracy: 100.00\n",
      "Train Epoch: 330 [35840/50000 (80%)]\tLoss: 0.001917, Accuracy: 100.00\n",
      "Train Epoch: 330 [38400/50000 (85%)]\tLoss: 0.001998, Accuracy: 100.00\n",
      "Train Epoch: 330 [40960/50000 (91%)]\tLoss: 0.001597, Accuracy: 100.00\n",
      "Train Epoch: 330 [43520/50000 (97%)]\tLoss: 0.002635, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2864, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.958251476287842 s]\n",
      "\n",
      "Test set: Average loss: 0.3211, Accuracy: 9318/10000 (93.18%)\n",
      "\n",
      "Train Epoch: 331 [0/50000 (0%)]\tLoss: 0.001913, Accuracy: 100.00\n",
      "Train Epoch: 331 [2560/50000 (6%)]\tLoss: 0.001606, Accuracy: 100.00\n",
      "Train Epoch: 331 [5120/50000 (11%)]\tLoss: 0.002617, Accuracy: 100.00\n",
      "Train Epoch: 331 [7680/50000 (17%)]\tLoss: 0.001495, Accuracy: 100.00\n",
      "Train Epoch: 331 [10240/50000 (23%)]\tLoss: 0.002305, Accuracy: 100.00\n",
      "Train Epoch: 331 [12800/50000 (28%)]\tLoss: 0.001288, Accuracy: 100.00\n",
      "Train Epoch: 331 [15360/50000 (34%)]\tLoss: 0.002106, Accuracy: 100.00\n",
      "Train Epoch: 331 [17920/50000 (40%)]\tLoss: 0.002678, Accuracy: 100.00\n",
      "Train Epoch: 331 [20480/50000 (45%)]\tLoss: 0.001452, Accuracy: 100.00\n",
      "Train Epoch: 331 [23040/50000 (51%)]\tLoss: 0.001417, Accuracy: 100.00\n",
      "Train Epoch: 331 [25600/50000 (57%)]\tLoss: 0.001543, Accuracy: 100.00\n",
      "Train Epoch: 331 [28160/50000 (62%)]\tLoss: 0.001574, Accuracy: 100.00\n",
      "Train Epoch: 331 [30720/50000 (68%)]\tLoss: 0.001895, Accuracy: 100.00\n",
      "Train Epoch: 331 [33280/50000 (74%)]\tLoss: 0.001408, Accuracy: 100.00\n",
      "Train Epoch: 331 [35840/50000 (80%)]\tLoss: 0.001609, Accuracy: 100.00\n",
      "Train Epoch: 331 [38400/50000 (85%)]\tLoss: 0.002380, Accuracy: 100.00\n",
      "Train Epoch: 331 [40960/50000 (91%)]\tLoss: 0.001915, Accuracy: 100.00\n",
      "Train Epoch: 331 [43520/50000 (97%)]\tLoss: 0.001843, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2855, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.833526849746704 s]\n",
      "Train Epoch: 332 [0/50000 (0%)]\tLoss: 0.002052, Accuracy: 100.00\n",
      "Train Epoch: 332 [2560/50000 (6%)]\tLoss: 0.001648, Accuracy: 100.00\n",
      "Train Epoch: 332 [5120/50000 (11%)]\tLoss: 0.001748, Accuracy: 100.00\n",
      "Train Epoch: 332 [7680/50000 (17%)]\tLoss: 0.002431, Accuracy: 100.00\n",
      "Train Epoch: 332 [10240/50000 (23%)]\tLoss: 0.002158, Accuracy: 100.00\n",
      "Train Epoch: 332 [12800/50000 (28%)]\tLoss: 0.002343, Accuracy: 100.00\n",
      "Train Epoch: 332 [15360/50000 (34%)]\tLoss: 0.001959, Accuracy: 100.00\n",
      "Train Epoch: 332 [17920/50000 (40%)]\tLoss: 0.002002, Accuracy: 100.00\n",
      "Train Epoch: 332 [20480/50000 (45%)]\tLoss: 0.001979, Accuracy: 100.00\n",
      "Train Epoch: 332 [23040/50000 (51%)]\tLoss: 0.002287, Accuracy: 100.00\n",
      "Train Epoch: 332 [25600/50000 (57%)]\tLoss: 0.002046, Accuracy: 100.00\n",
      "Train Epoch: 332 [28160/50000 (62%)]\tLoss: 0.001500, Accuracy: 100.00\n",
      "Train Epoch: 332 [30720/50000 (68%)]\tLoss: 0.001803, Accuracy: 100.00\n",
      "Train Epoch: 332 [33280/50000 (74%)]\tLoss: 0.001430, Accuracy: 100.00\n",
      "Train Epoch: 332 [35840/50000 (80%)]\tLoss: 0.002865, Accuracy: 100.00\n",
      "Train Epoch: 332 [38400/50000 (85%)]\tLoss: 0.001978, Accuracy: 100.00\n",
      "Train Epoch: 332 [40960/50000 (91%)]\tLoss: 0.001991, Accuracy: 100.00\n",
      "Train Epoch: 332 [43520/50000 (97%)]\tLoss: 0.001601, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2855, Accuracy: 4689/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.981879949569702 s]\n",
      "Train Epoch: 333 [0/50000 (0%)]\tLoss: 0.001610, Accuracy: 100.00\n",
      "Train Epoch: 333 [2560/50000 (6%)]\tLoss: 0.001592, Accuracy: 100.00\n",
      "Train Epoch: 333 [5120/50000 (11%)]\tLoss: 0.001856, Accuracy: 100.00\n",
      "Train Epoch: 333 [7680/50000 (17%)]\tLoss: 0.001878, Accuracy: 100.00\n",
      "Train Epoch: 333 [10240/50000 (23%)]\tLoss: 0.001289, Accuracy: 100.00\n",
      "Train Epoch: 333 [12800/50000 (28%)]\tLoss: 0.001908, Accuracy: 100.00\n",
      "Train Epoch: 333 [15360/50000 (34%)]\tLoss: 0.002076, Accuracy: 100.00\n",
      "Train Epoch: 333 [17920/50000 (40%)]\tLoss: 0.001491, Accuracy: 100.00\n",
      "Train Epoch: 333 [20480/50000 (45%)]\tLoss: 0.001515, Accuracy: 100.00\n",
      "Train Epoch: 333 [23040/50000 (51%)]\tLoss: 0.002813, Accuracy: 100.00\n",
      "Train Epoch: 333 [25600/50000 (57%)]\tLoss: 0.002252, Accuracy: 100.00\n",
      "Train Epoch: 333 [28160/50000 (62%)]\tLoss: 0.002420, Accuracy: 100.00\n",
      "Train Epoch: 333 [30720/50000 (68%)]\tLoss: 0.001467, Accuracy: 100.00\n",
      "Train Epoch: 333 [33280/50000 (74%)]\tLoss: 0.003384, Accuracy: 100.00\n",
      "Train Epoch: 333 [35840/50000 (80%)]\tLoss: 0.001565, Accuracy: 100.00\n",
      "Train Epoch: 333 [38400/50000 (85%)]\tLoss: 0.001644, Accuracy: 100.00\n",
      "Train Epoch: 333 [40960/50000 (91%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 333 [43520/50000 (97%)]\tLoss: 0.003221, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2855, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.054800271987915 s]\n",
      "Train Epoch: 334 [0/50000 (0%)]\tLoss: 0.001419, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 334 [2560/50000 (6%)]\tLoss: 0.001521, Accuracy: 100.00\n",
      "Train Epoch: 334 [5120/50000 (11%)]\tLoss: 0.002039, Accuracy: 100.00\n",
      "Train Epoch: 334 [7680/50000 (17%)]\tLoss: 0.002153, Accuracy: 100.00\n",
      "Train Epoch: 334 [10240/50000 (23%)]\tLoss: 0.001520, Accuracy: 100.00\n",
      "Train Epoch: 334 [12800/50000 (28%)]\tLoss: 0.003151, Accuracy: 100.00\n",
      "Train Epoch: 334 [15360/50000 (34%)]\tLoss: 0.001366, Accuracy: 100.00\n",
      "Train Epoch: 334 [17920/50000 (40%)]\tLoss: 0.001442, Accuracy: 100.00\n",
      "Train Epoch: 334 [20480/50000 (45%)]\tLoss: 0.001391, Accuracy: 100.00\n",
      "Train Epoch: 334 [23040/50000 (51%)]\tLoss: 0.002319, Accuracy: 100.00\n",
      "Train Epoch: 334 [25600/50000 (57%)]\tLoss: 0.002215, Accuracy: 100.00\n",
      "Train Epoch: 334 [28160/50000 (62%)]\tLoss: 0.001800, Accuracy: 100.00\n",
      "Train Epoch: 334 [30720/50000 (68%)]\tLoss: 0.004437, Accuracy: 99.80\n",
      "Train Epoch: 334 [33280/50000 (74%)]\tLoss: 0.001566, Accuracy: 100.00\n",
      "Train Epoch: 334 [35840/50000 (80%)]\tLoss: 0.002429, Accuracy: 100.00\n",
      "Train Epoch: 334 [38400/50000 (85%)]\tLoss: 0.001407, Accuracy: 100.00\n",
      "Train Epoch: 334 [40960/50000 (91%)]\tLoss: 0.001826, Accuracy: 100.00\n",
      "Train Epoch: 334 [43520/50000 (97%)]\tLoss: 0.002071, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2899, Accuracy: 4678/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.966253519058228 s]\n",
      "Train Epoch: 335 [0/50000 (0%)]\tLoss: 0.001626, Accuracy: 100.00\n",
      "Train Epoch: 335 [2560/50000 (6%)]\tLoss: 0.002370, Accuracy: 100.00\n",
      "Train Epoch: 335 [5120/50000 (11%)]\tLoss: 0.002243, Accuracy: 100.00\n",
      "Train Epoch: 335 [7680/50000 (17%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "Train Epoch: 335 [10240/50000 (23%)]\tLoss: 0.002347, Accuracy: 100.00\n",
      "Train Epoch: 335 [12800/50000 (28%)]\tLoss: 0.001470, Accuracy: 100.00\n",
      "Train Epoch: 335 [15360/50000 (34%)]\tLoss: 0.001499, Accuracy: 100.00\n",
      "Train Epoch: 335 [17920/50000 (40%)]\tLoss: 0.001550, Accuracy: 100.00\n",
      "Train Epoch: 335 [20480/50000 (45%)]\tLoss: 0.001301, Accuracy: 100.00\n",
      "Train Epoch: 335 [23040/50000 (51%)]\tLoss: 0.001659, Accuracy: 100.00\n",
      "Train Epoch: 335 [25600/50000 (57%)]\tLoss: 0.001305, Accuracy: 100.00\n",
      "Train Epoch: 335 [28160/50000 (62%)]\tLoss: 0.001411, Accuracy: 100.00\n",
      "Train Epoch: 335 [30720/50000 (68%)]\tLoss: 0.003363, Accuracy: 100.00\n",
      "Train Epoch: 335 [33280/50000 (74%)]\tLoss: 0.001882, Accuracy: 100.00\n",
      "Train Epoch: 335 [35840/50000 (80%)]\tLoss: 0.001800, Accuracy: 100.00\n",
      "Train Epoch: 335 [38400/50000 (85%)]\tLoss: 0.001649, Accuracy: 100.00\n",
      "Train Epoch: 335 [40960/50000 (91%)]\tLoss: 0.001106, Accuracy: 100.00\n",
      "Train Epoch: 335 [43520/50000 (97%)]\tLoss: 0.002760, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2852, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.994449853897095 s]\n",
      "Train Epoch: 336 [0/50000 (0%)]\tLoss: 0.001815, Accuracy: 100.00\n",
      "Train Epoch: 336 [2560/50000 (6%)]\tLoss: 0.001346, Accuracy: 100.00\n",
      "Train Epoch: 336 [5120/50000 (11%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "Train Epoch: 336 [7680/50000 (17%)]\tLoss: 0.002067, Accuracy: 100.00\n",
      "Train Epoch: 336 [10240/50000 (23%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 336 [12800/50000 (28%)]\tLoss: 0.003506, Accuracy: 100.00\n",
      "Train Epoch: 336 [15360/50000 (34%)]\tLoss: 0.001556, Accuracy: 100.00\n",
      "Train Epoch: 336 [17920/50000 (40%)]\tLoss: 0.001422, Accuracy: 100.00\n",
      "Train Epoch: 336 [20480/50000 (45%)]\tLoss: 0.001422, Accuracy: 100.00\n",
      "Train Epoch: 336 [23040/50000 (51%)]\tLoss: 0.001218, Accuracy: 100.00\n",
      "Train Epoch: 336 [25600/50000 (57%)]\tLoss: 0.003392, Accuracy: 100.00\n",
      "Train Epoch: 336 [28160/50000 (62%)]\tLoss: 0.001942, Accuracy: 100.00\n",
      "Train Epoch: 336 [30720/50000 (68%)]\tLoss: 0.001812, Accuracy: 100.00\n",
      "Train Epoch: 336 [33280/50000 (74%)]\tLoss: 0.001662, Accuracy: 100.00\n",
      "Train Epoch: 336 [35840/50000 (80%)]\tLoss: 0.001658, Accuracy: 100.00\n",
      "Train Epoch: 336 [38400/50000 (85%)]\tLoss: 0.001666, Accuracy: 100.00\n",
      "Train Epoch: 336 [40960/50000 (91%)]\tLoss: 0.002184, Accuracy: 100.00\n",
      "Train Epoch: 336 [43520/50000 (97%)]\tLoss: 0.002952, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2862, Accuracy: 4688/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.005879640579224 s]\n",
      "Train Epoch: 337 [0/50000 (0%)]\tLoss: 0.001700, Accuracy: 100.00\n",
      "Train Epoch: 337 [2560/50000 (6%)]\tLoss: 0.001429, Accuracy: 100.00\n",
      "Train Epoch: 337 [5120/50000 (11%)]\tLoss: 0.001947, Accuracy: 100.00\n",
      "Train Epoch: 337 [7680/50000 (17%)]\tLoss: 0.001924, Accuracy: 100.00\n",
      "Train Epoch: 337 [10240/50000 (23%)]\tLoss: 0.001584, Accuracy: 100.00\n",
      "Train Epoch: 337 [12800/50000 (28%)]\tLoss: 0.001545, Accuracy: 100.00\n",
      "Train Epoch: 337 [15360/50000 (34%)]\tLoss: 0.001980, Accuracy: 100.00\n",
      "Train Epoch: 337 [17920/50000 (40%)]\tLoss: 0.001410, Accuracy: 100.00\n",
      "Train Epoch: 337 [20480/50000 (45%)]\tLoss: 0.001752, Accuracy: 100.00\n",
      "Train Epoch: 337 [23040/50000 (51%)]\tLoss: 0.001925, Accuracy: 100.00\n",
      "Train Epoch: 337 [25600/50000 (57%)]\tLoss: 0.001783, Accuracy: 100.00\n",
      "Train Epoch: 337 [28160/50000 (62%)]\tLoss: 0.001763, Accuracy: 100.00\n",
      "Train Epoch: 337 [30720/50000 (68%)]\tLoss: 0.001672, Accuracy: 100.00\n",
      "Train Epoch: 337 [33280/50000 (74%)]\tLoss: 0.001957, Accuracy: 100.00\n",
      "Train Epoch: 337 [35840/50000 (80%)]\tLoss: 0.002242, Accuracy: 100.00\n",
      "Train Epoch: 337 [38400/50000 (85%)]\tLoss: 0.006245, Accuracy: 99.80\n",
      "Train Epoch: 337 [40960/50000 (91%)]\tLoss: 0.001808, Accuracy: 100.00\n",
      "Train Epoch: 337 [43520/50000 (97%)]\tLoss: 0.001651, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2888, Accuracy: 4673/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.96674609184265 s]\n",
      "Train Epoch: 338 [0/50000 (0%)]\tLoss: 0.002578, Accuracy: 100.00\n",
      "Train Epoch: 338 [2560/50000 (6%)]\tLoss: 0.002361, Accuracy: 100.00\n",
      "Train Epoch: 338 [5120/50000 (11%)]\tLoss: 0.001732, Accuracy: 100.00\n",
      "Train Epoch: 338 [7680/50000 (17%)]\tLoss: 0.003272, Accuracy: 100.00\n",
      "Train Epoch: 338 [10240/50000 (23%)]\tLoss: 0.001958, Accuracy: 100.00\n",
      "Train Epoch: 338 [12800/50000 (28%)]\tLoss: 0.002075, Accuracy: 100.00\n",
      "Train Epoch: 338 [15360/50000 (34%)]\tLoss: 0.002401, Accuracy: 100.00\n",
      "Train Epoch: 338 [17920/50000 (40%)]\tLoss: 0.001457, Accuracy: 100.00\n",
      "Train Epoch: 338 [20480/50000 (45%)]\tLoss: 0.001901, Accuracy: 100.00\n",
      "Train Epoch: 338 [23040/50000 (51%)]\tLoss: 0.001580, Accuracy: 100.00\n",
      "Train Epoch: 338 [25600/50000 (57%)]\tLoss: 0.001486, Accuracy: 100.00\n",
      "Train Epoch: 338 [28160/50000 (62%)]\tLoss: 0.001599, Accuracy: 100.00\n",
      "Train Epoch: 338 [30720/50000 (68%)]\tLoss: 0.001505, Accuracy: 100.00\n",
      "Train Epoch: 338 [33280/50000 (74%)]\tLoss: 0.001517, Accuracy: 100.00\n",
      "Train Epoch: 338 [35840/50000 (80%)]\tLoss: 0.001800, Accuracy: 100.00\n",
      "Train Epoch: 338 [38400/50000 (85%)]\tLoss: 0.001859, Accuracy: 100.00\n",
      "Train Epoch: 338 [40960/50000 (91%)]\tLoss: 0.002070, Accuracy: 100.00\n",
      "Train Epoch: 338 [43520/50000 (97%)]\tLoss: 0.001784, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2851, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.006542921066284 s]\n",
      "Train Epoch: 339 [0/50000 (0%)]\tLoss: 0.001794, Accuracy: 100.00\n",
      "Train Epoch: 339 [2560/50000 (6%)]\tLoss: 0.002771, Accuracy: 100.00\n",
      "Train Epoch: 339 [5120/50000 (11%)]\tLoss: 0.001650, Accuracy: 100.00\n",
      "Train Epoch: 339 [7680/50000 (17%)]\tLoss: 0.002051, Accuracy: 100.00\n",
      "Train Epoch: 339 [10240/50000 (23%)]\tLoss: 0.001540, Accuracy: 100.00\n",
      "Train Epoch: 339 [12800/50000 (28%)]\tLoss: 0.001795, Accuracy: 100.00\n",
      "Train Epoch: 339 [15360/50000 (34%)]\tLoss: 0.001400, Accuracy: 100.00\n",
      "Train Epoch: 339 [17920/50000 (40%)]\tLoss: 0.001754, Accuracy: 100.00\n",
      "Train Epoch: 339 [20480/50000 (45%)]\tLoss: 0.001661, Accuracy: 100.00\n",
      "Train Epoch: 339 [23040/50000 (51%)]\tLoss: 0.002437, Accuracy: 100.00\n",
      "Train Epoch: 339 [25600/50000 (57%)]\tLoss: 0.002123, Accuracy: 100.00\n",
      "Train Epoch: 339 [28160/50000 (62%)]\tLoss: 0.001921, Accuracy: 100.00\n",
      "Train Epoch: 339 [30720/50000 (68%)]\tLoss: 0.003873, Accuracy: 100.00\n",
      "Train Epoch: 339 [33280/50000 (74%)]\tLoss: 0.001305, Accuracy: 100.00\n",
      "Train Epoch: 339 [35840/50000 (80%)]\tLoss: 0.001904, Accuracy: 100.00\n",
      "Train Epoch: 339 [38400/50000 (85%)]\tLoss: 0.001492, Accuracy: 100.00\n",
      "Train Epoch: 339 [40960/50000 (91%)]\tLoss: 0.001753, Accuracy: 100.00\n",
      "Train Epoch: 339 [43520/50000 (97%)]\tLoss: 0.001647, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2851, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.00746965408325 s]\n",
      "Train Epoch: 340 [0/50000 (0%)]\tLoss: 0.001449, Accuracy: 100.00\n",
      "Train Epoch: 340 [2560/50000 (6%)]\tLoss: 0.001330, Accuracy: 100.00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 340 [5120/50000 (11%)]\tLoss: 0.001760, Accuracy: 100.00\n",
      "Train Epoch: 340 [7680/50000 (17%)]\tLoss: 0.002459, Accuracy: 100.00\n",
      "Train Epoch: 340 [10240/50000 (23%)]\tLoss: 0.002675, Accuracy: 100.00\n",
      "Train Epoch: 340 [12800/50000 (28%)]\tLoss: 0.001619, Accuracy: 100.00\n",
      "Train Epoch: 340 [15360/50000 (34%)]\tLoss: 0.001562, Accuracy: 100.00\n",
      "Train Epoch: 340 [17920/50000 (40%)]\tLoss: 0.001589, Accuracy: 100.00\n",
      "Train Epoch: 340 [20480/50000 (45%)]\tLoss: 0.002083, Accuracy: 100.00\n",
      "Train Epoch: 340 [23040/50000 (51%)]\tLoss: 0.002001, Accuracy: 100.00\n",
      "Train Epoch: 340 [25600/50000 (57%)]\tLoss: 0.001567, Accuracy: 100.00\n",
      "Train Epoch: 340 [28160/50000 (62%)]\tLoss: 0.001900, Accuracy: 100.00\n",
      "Train Epoch: 340 [30720/50000 (68%)]\tLoss: 0.001396, Accuracy: 100.00\n",
      "Train Epoch: 340 [33280/50000 (74%)]\tLoss: 0.001647, Accuracy: 100.00\n",
      "Train Epoch: 340 [35840/50000 (80%)]\tLoss: 0.002198, Accuracy: 100.00\n",
      "Train Epoch: 340 [38400/50000 (85%)]\tLoss: 0.001716, Accuracy: 100.00\n",
      "Train Epoch: 340 [40960/50000 (91%)]\tLoss: 0.001548, Accuracy: 100.00\n",
      "Train Epoch: 340 [43520/50000 (97%)]\tLoss: 0.001638, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2857, Accuracy: 4681/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.03909206390381 s]\n",
      "\n",
      "Test set: Average loss: 0.3207, Accuracy: 9327/10000 (93.27%)\n",
      "\n",
      "Train Epoch: 341 [0/50000 (0%)]\tLoss: 0.001463, Accuracy: 100.00\n",
      "Train Epoch: 341 [2560/50000 (6%)]\tLoss: 0.001987, Accuracy: 100.00\n",
      "Train Epoch: 341 [5120/50000 (11%)]\tLoss: 0.001552, Accuracy: 100.00\n",
      "Train Epoch: 341 [7680/50000 (17%)]\tLoss: 0.001441, Accuracy: 100.00\n",
      "Train Epoch: 341 [10240/50000 (23%)]\tLoss: 0.004076, Accuracy: 100.00\n",
      "Train Epoch: 341 [12800/50000 (28%)]\tLoss: 0.001676, Accuracy: 100.00\n",
      "Train Epoch: 341 [15360/50000 (34%)]\tLoss: 0.001979, Accuracy: 100.00\n",
      "Train Epoch: 341 [17920/50000 (40%)]\tLoss: 0.001685, Accuracy: 100.00\n",
      "Train Epoch: 341 [20480/50000 (45%)]\tLoss: 0.001418, Accuracy: 100.00\n",
      "Train Epoch: 341 [23040/50000 (51%)]\tLoss: 0.001470, Accuracy: 100.00\n",
      "Train Epoch: 341 [25600/50000 (57%)]\tLoss: 0.001516, Accuracy: 100.00\n",
      "Train Epoch: 341 [28160/50000 (62%)]\tLoss: 0.001692, Accuracy: 100.00\n",
      "Train Epoch: 341 [30720/50000 (68%)]\tLoss: 0.002113, Accuracy: 100.00\n",
      "Train Epoch: 341 [33280/50000 (74%)]\tLoss: 0.003373, Accuracy: 100.00\n",
      "Train Epoch: 341 [35840/50000 (80%)]\tLoss: 0.001954, Accuracy: 100.00\n",
      "Train Epoch: 341 [38400/50000 (85%)]\tLoss: 0.002195, Accuracy: 100.00\n",
      "Train Epoch: 341 [40960/50000 (91%)]\tLoss: 0.001649, Accuracy: 100.00\n",
      "Train Epoch: 341 [43520/50000 (97%)]\tLoss: 0.001724, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2855, Accuracy: 4682/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[34.83650326728821 s]\n",
      "Train Epoch: 342 [0/50000 (0%)]\tLoss: 0.001740, Accuracy: 100.00\n",
      "Train Epoch: 342 [2560/50000 (6%)]\tLoss: 0.003762, Accuracy: 100.00\n",
      "Train Epoch: 342 [5120/50000 (11%)]\tLoss: 0.002158, Accuracy: 100.00\n",
      "Train Epoch: 342 [7680/50000 (17%)]\tLoss: 0.001323, Accuracy: 100.00\n",
      "Train Epoch: 342 [10240/50000 (23%)]\tLoss: 0.001394, Accuracy: 100.00\n",
      "Train Epoch: 342 [12800/50000 (28%)]\tLoss: 0.001800, Accuracy: 100.00\n",
      "Train Epoch: 342 [15360/50000 (34%)]\tLoss: 0.001899, Accuracy: 100.00\n",
      "Train Epoch: 342 [17920/50000 (40%)]\tLoss: 0.001248, Accuracy: 100.00\n",
      "Train Epoch: 342 [20480/50000 (45%)]\tLoss: 0.001749, Accuracy: 100.00\n",
      "Train Epoch: 342 [23040/50000 (51%)]\tLoss: 0.002888, Accuracy: 100.00\n",
      "Train Epoch: 342 [25600/50000 (57%)]\tLoss: 0.001639, Accuracy: 100.00\n",
      "Train Epoch: 342 [28160/50000 (62%)]\tLoss: 0.001714, Accuracy: 100.00\n",
      "Train Epoch: 342 [30720/50000 (68%)]\tLoss: 0.001544, Accuracy: 100.00\n",
      "Train Epoch: 342 [33280/50000 (74%)]\tLoss: 0.005280, Accuracy: 99.80\n",
      "Train Epoch: 342 [35840/50000 (80%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 342 [38400/50000 (85%)]\tLoss: 0.002276, Accuracy: 100.00\n",
      "Train Epoch: 342 [40960/50000 (91%)]\tLoss: 0.001433, Accuracy: 100.00\n",
      "Train Epoch: 342 [43520/50000 (97%)]\tLoss: 0.001698, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2880, Accuracy: 4676/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.10095167160034 s]\n",
      "Train Epoch: 343 [0/50000 (0%)]\tLoss: 0.001752, Accuracy: 100.00\n",
      "Train Epoch: 343 [2560/50000 (6%)]\tLoss: 0.001308, Accuracy: 100.00\n",
      "Train Epoch: 343 [5120/50000 (11%)]\tLoss: 0.001745, Accuracy: 100.00\n",
      "Train Epoch: 343 [7680/50000 (17%)]\tLoss: 0.001490, Accuracy: 100.00\n",
      "Train Epoch: 343 [10240/50000 (23%)]\tLoss: 0.001653, Accuracy: 100.00\n",
      "Train Epoch: 343 [12800/50000 (28%)]\tLoss: 0.001415, Accuracy: 100.00\n",
      "Train Epoch: 343 [15360/50000 (34%)]\tLoss: 0.002124, Accuracy: 100.00\n",
      "Train Epoch: 343 [17920/50000 (40%)]\tLoss: 0.001826, Accuracy: 100.00\n",
      "Train Epoch: 343 [20480/50000 (45%)]\tLoss: 0.002700, Accuracy: 100.00\n",
      "Train Epoch: 343 [23040/50000 (51%)]\tLoss: 0.001742, Accuracy: 100.00\n",
      "Train Epoch: 343 [25600/50000 (57%)]\tLoss: 0.001619, Accuracy: 100.00\n",
      "Train Epoch: 343 [28160/50000 (62%)]\tLoss: 0.001541, Accuracy: 100.00\n",
      "Train Epoch: 343 [30720/50000 (68%)]\tLoss: 0.001770, Accuracy: 100.00\n",
      "Train Epoch: 343 [33280/50000 (74%)]\tLoss: 0.001362, Accuracy: 100.00\n",
      "Train Epoch: 343 [35840/50000 (80%)]\tLoss: 0.001550, Accuracy: 100.00\n",
      "Train Epoch: 343 [38400/50000 (85%)]\tLoss: 0.001606, Accuracy: 100.00\n",
      "Train Epoch: 343 [40960/50000 (91%)]\tLoss: 0.001218, Accuracy: 100.00\n",
      "Train Epoch: 343 [43520/50000 (97%)]\tLoss: 0.004271, Accuracy: 99.80\n",
      "\n",
      "Validation set: Average loss: 0.2865, Accuracy: 4687/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.988027334213257 s]\n",
      "Train Epoch: 344 [0/50000 (0%)]\tLoss: 0.003206, Accuracy: 100.00\n",
      "Train Epoch: 344 [2560/50000 (6%)]\tLoss: 0.001474, Accuracy: 100.00\n",
      "Train Epoch: 344 [5120/50000 (11%)]\tLoss: 0.001488, Accuracy: 100.00\n",
      "Train Epoch: 344 [7680/50000 (17%)]\tLoss: 0.001531, Accuracy: 100.00\n",
      "Train Epoch: 344 [10240/50000 (23%)]\tLoss: 0.003281, Accuracy: 99.80\n",
      "Train Epoch: 344 [12800/50000 (28%)]\tLoss: 0.003183, Accuracy: 100.00\n",
      "Train Epoch: 344 [15360/50000 (34%)]\tLoss: 0.001857, Accuracy: 100.00\n",
      "Train Epoch: 344 [17920/50000 (40%)]\tLoss: 0.001928, Accuracy: 100.00\n",
      "Train Epoch: 344 [20480/50000 (45%)]\tLoss: 0.002223, Accuracy: 100.00\n",
      "Train Epoch: 344 [23040/50000 (51%)]\tLoss: 0.002288, Accuracy: 100.00\n",
      "Train Epoch: 344 [25600/50000 (57%)]\tLoss: 0.002053, Accuracy: 100.00\n",
      "Train Epoch: 344 [28160/50000 (62%)]\tLoss: 0.001907, Accuracy: 100.00\n",
      "Train Epoch: 344 [30720/50000 (68%)]\tLoss: 0.001512, Accuracy: 100.00\n",
      "Train Epoch: 344 [33280/50000 (74%)]\tLoss: 0.003017, Accuracy: 100.00\n",
      "Train Epoch: 344 [35840/50000 (80%)]\tLoss: 0.001882, Accuracy: 100.00\n",
      "Train Epoch: 344 [38400/50000 (85%)]\tLoss: 0.001408, Accuracy: 100.00\n",
      "Train Epoch: 344 [40960/50000 (91%)]\tLoss: 0.001365, Accuracy: 100.00\n",
      "Train Epoch: 344 [43520/50000 (97%)]\tLoss: 0.002217, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2875, Accuracy: 4683/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.99700093269348 s]\n",
      "Train Epoch: 345 [0/50000 (0%)]\tLoss: 0.001942, Accuracy: 100.00\n",
      "Train Epoch: 345 [2560/50000 (6%)]\tLoss: 0.002538, Accuracy: 100.00\n",
      "Train Epoch: 345 [5120/50000 (11%)]\tLoss: 0.002985, Accuracy: 100.00\n",
      "Train Epoch: 345 [7680/50000 (17%)]\tLoss: 0.001439, Accuracy: 100.00\n",
      "Train Epoch: 345 [10240/50000 (23%)]\tLoss: 0.002301, Accuracy: 100.00\n",
      "Train Epoch: 345 [12800/50000 (28%)]\tLoss: 0.001390, Accuracy: 100.00\n",
      "Train Epoch: 345 [15360/50000 (34%)]\tLoss: 0.013978, Accuracy: 99.80\n",
      "Train Epoch: 345 [17920/50000 (40%)]\tLoss: 0.002431, Accuracy: 100.00\n",
      "Train Epoch: 345 [20480/50000 (45%)]\tLoss: 0.001652, Accuracy: 100.00\n",
      "Train Epoch: 345 [23040/50000 (51%)]\tLoss: 0.002243, Accuracy: 100.00\n",
      "Train Epoch: 345 [25600/50000 (57%)]\tLoss: 0.001713, Accuracy: 100.00\n",
      "Train Epoch: 345 [28160/50000 (62%)]\tLoss: 0.003125, Accuracy: 100.00\n",
      "Train Epoch: 345 [30720/50000 (68%)]\tLoss: 0.002180, Accuracy: 100.00\n",
      "Train Epoch: 345 [33280/50000 (74%)]\tLoss: 0.001628, Accuracy: 100.00\n",
      "Train Epoch: 345 [35840/50000 (80%)]\tLoss: 0.001533, Accuracy: 100.00\n",
      "Train Epoch: 345 [38400/50000 (85%)]\tLoss: 0.001660, Accuracy: 100.00\n",
      "Train Epoch: 345 [40960/50000 (91%)]\tLoss: 0.001376, Accuracy: 100.00\n",
      "Train Epoch: 345 [43520/50000 (97%)]\tLoss: 0.001683, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2872, Accuracy: 4684/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.940876483917236 s]\n",
      "Train Epoch: 346 [0/50000 (0%)]\tLoss: 0.002626, Accuracy: 100.00\n",
      "Train Epoch: 346 [2560/50000 (6%)]\tLoss: 0.003932, Accuracy: 99.80\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 346 [5120/50000 (11%)]\tLoss: 0.001442, Accuracy: 100.00\n",
      "Train Epoch: 346 [7680/50000 (17%)]\tLoss: 0.001883, Accuracy: 100.00\n",
      "Train Epoch: 346 [10240/50000 (23%)]\tLoss: 0.001394, Accuracy: 100.00\n",
      "Train Epoch: 346 [12800/50000 (28%)]\tLoss: 0.001796, Accuracy: 100.00\n",
      "Train Epoch: 346 [15360/50000 (34%)]\tLoss: 0.001543, Accuracy: 100.00\n",
      "Train Epoch: 346 [17920/50000 (40%)]\tLoss: 0.001176, Accuracy: 100.00\n",
      "Train Epoch: 346 [20480/50000 (45%)]\tLoss: 0.001199, Accuracy: 100.00\n",
      "Train Epoch: 346 [23040/50000 (51%)]\tLoss: 0.001460, Accuracy: 100.00\n",
      "Train Epoch: 346 [25600/50000 (57%)]\tLoss: 0.003015, Accuracy: 100.00\n",
      "Train Epoch: 346 [28160/50000 (62%)]\tLoss: 0.001627, Accuracy: 100.00\n",
      "Train Epoch: 346 [30720/50000 (68%)]\tLoss: 0.002022, Accuracy: 100.00\n",
      "Train Epoch: 346 [33280/50000 (74%)]\tLoss: 0.002106, Accuracy: 100.00\n",
      "Train Epoch: 346 [35840/50000 (80%)]\tLoss: 0.001580, Accuracy: 100.00\n",
      "Train Epoch: 346 [38400/50000 (85%)]\tLoss: 0.004727, Accuracy: 100.00\n",
      "Train Epoch: 346 [40960/50000 (91%)]\tLoss: 0.002278, Accuracy: 100.00\n",
      "Train Epoch: 346 [43520/50000 (97%)]\tLoss: 0.001425, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2849, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.95749020576477 s]\n",
      "Train Epoch: 347 [0/50000 (0%)]\tLoss: 0.001987, Accuracy: 100.00\n",
      "Train Epoch: 347 [2560/50000 (6%)]\tLoss: 0.001748, Accuracy: 100.00\n",
      "Train Epoch: 347 [5120/50000 (11%)]\tLoss: 0.001332, Accuracy: 100.00\n",
      "Train Epoch: 347 [7680/50000 (17%)]\tLoss: 0.001756, Accuracy: 100.00\n",
      "Train Epoch: 347 [10240/50000 (23%)]\tLoss: 0.001461, Accuracy: 100.00\n",
      "Train Epoch: 347 [12800/50000 (28%)]\tLoss: 0.001771, Accuracy: 100.00\n",
      "Train Epoch: 347 [15360/50000 (34%)]\tLoss: 0.001604, Accuracy: 100.00\n",
      "Train Epoch: 347 [17920/50000 (40%)]\tLoss: 0.002505, Accuracy: 100.00\n",
      "Train Epoch: 347 [20480/50000 (45%)]\tLoss: 0.001471, Accuracy: 100.00\n",
      "Train Epoch: 347 [23040/50000 (51%)]\tLoss: 0.001309, Accuracy: 100.00\n",
      "Train Epoch: 347 [25600/50000 (57%)]\tLoss: 0.001610, Accuracy: 100.00\n",
      "Train Epoch: 347 [28160/50000 (62%)]\tLoss: 0.001920, Accuracy: 100.00\n",
      "Train Epoch: 347 [30720/50000 (68%)]\tLoss: 0.001512, Accuracy: 100.00\n",
      "Train Epoch: 347 [33280/50000 (74%)]\tLoss: 0.002714, Accuracy: 100.00\n",
      "Train Epoch: 347 [35840/50000 (80%)]\tLoss: 0.001512, Accuracy: 100.00\n",
      "Train Epoch: 347 [38400/50000 (85%)]\tLoss: 0.001716, Accuracy: 100.00\n",
      "Train Epoch: 347 [40960/50000 (91%)]\tLoss: 0.001798, Accuracy: 100.00\n",
      "Train Epoch: 347 [43520/50000 (97%)]\tLoss: 0.002124, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2873, Accuracy: 4679/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.005924463272095 s]\n",
      "Train Epoch: 348 [0/50000 (0%)]\tLoss: 0.001998, Accuracy: 100.00\n",
      "Train Epoch: 348 [2560/50000 (6%)]\tLoss: 0.003735, Accuracy: 99.80\n",
      "Train Epoch: 348 [5120/50000 (11%)]\tLoss: 0.001556, Accuracy: 100.00\n",
      "Train Epoch: 348 [7680/50000 (17%)]\tLoss: 0.002060, Accuracy: 100.00\n",
      "Train Epoch: 348 [10240/50000 (23%)]\tLoss: 0.001647, Accuracy: 100.00\n",
      "Train Epoch: 348 [12800/50000 (28%)]\tLoss: 0.002829, Accuracy: 100.00\n",
      "Train Epoch: 348 [15360/50000 (34%)]\tLoss: 0.001683, Accuracy: 100.00\n",
      "Train Epoch: 348 [17920/50000 (40%)]\tLoss: 0.001756, Accuracy: 100.00\n",
      "Train Epoch: 348 [20480/50000 (45%)]\tLoss: 0.001604, Accuracy: 100.00\n",
      "Train Epoch: 348 [23040/50000 (51%)]\tLoss: 0.001864, Accuracy: 100.00\n",
      "Train Epoch: 348 [25600/50000 (57%)]\tLoss: 0.001489, Accuracy: 100.00\n",
      "Train Epoch: 348 [28160/50000 (62%)]\tLoss: 0.001231, Accuracy: 100.00\n",
      "Train Epoch: 348 [30720/50000 (68%)]\tLoss: 0.001325, Accuracy: 100.00\n",
      "Train Epoch: 348 [33280/50000 (74%)]\tLoss: 0.002746, Accuracy: 100.00\n",
      "Train Epoch: 348 [35840/50000 (80%)]\tLoss: 0.002239, Accuracy: 100.00\n",
      "Train Epoch: 348 [38400/50000 (85%)]\tLoss: 0.002018, Accuracy: 100.00\n",
      "Train Epoch: 348 [40960/50000 (91%)]\tLoss: 0.001484, Accuracy: 100.00\n",
      "Train Epoch: 348 [43520/50000 (97%)]\tLoss: 0.001480, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2869, Accuracy: 4680/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[31.98793649673462 s]\n",
      "Train Epoch: 349 [0/50000 (0%)]\tLoss: 0.002513, Accuracy: 100.00\n",
      "Train Epoch: 349 [2560/50000 (6%)]\tLoss: 0.001487, Accuracy: 100.00\n",
      "Train Epoch: 349 [5120/50000 (11%)]\tLoss: 0.001746, Accuracy: 100.00\n",
      "Train Epoch: 349 [7680/50000 (17%)]\tLoss: 0.001710, Accuracy: 100.00\n",
      "Train Epoch: 349 [10240/50000 (23%)]\tLoss: 0.002602, Accuracy: 100.00\n",
      "Train Epoch: 349 [12800/50000 (28%)]\tLoss: 0.002142, Accuracy: 100.00\n",
      "Train Epoch: 349 [15360/50000 (34%)]\tLoss: 0.001695, Accuracy: 100.00\n",
      "Train Epoch: 349 [17920/50000 (40%)]\tLoss: 0.001953, Accuracy: 100.00\n",
      "Train Epoch: 349 [20480/50000 (45%)]\tLoss: 0.002472, Accuracy: 100.00\n",
      "Train Epoch: 349 [23040/50000 (51%)]\tLoss: 0.003196, Accuracy: 99.80\n",
      "Train Epoch: 349 [25600/50000 (57%)]\tLoss: 0.001899, Accuracy: 100.00\n",
      "Train Epoch: 349 [28160/50000 (62%)]\tLoss: 0.002080, Accuracy: 100.00\n",
      "Train Epoch: 349 [30720/50000 (68%)]\tLoss: 0.002128, Accuracy: 100.00\n",
      "Train Epoch: 349 [33280/50000 (74%)]\tLoss: 0.001916, Accuracy: 100.00\n",
      "Train Epoch: 349 [35840/50000 (80%)]\tLoss: 0.001859, Accuracy: 100.00\n",
      "Train Epoch: 349 [38400/50000 (85%)]\tLoss: 0.008284, Accuracy: 99.80\n",
      "Train Epoch: 349 [40960/50000 (91%)]\tLoss: 0.003115, Accuracy: 100.00\n",
      "Train Epoch: 349 [43520/50000 (97%)]\tLoss: 0.002219, Accuracy: 100.00\n",
      "\n",
      "Validation set: Average loss: 0.2857, Accuracy: 4685/5000 (93.00%)\n",
      "\n",
      "the time of this epoch:[32.027462005615234 s]\n",
      "\n",
      "Test set: Average loss: 0.3224, Accuracy: 9327/10000 (93.27%)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Fantastic logger for tensorboard and pytorch, \n",
    "# run tensorboard by opening a new terminal and run \"tensorboard --logdir runs\"\n",
    "# open tensorboard at http://localhost:6006/\n",
    "from tensorboardX import SummaryWriter\n",
    "best_loss = None\n",
    "best_acc = None\n",
    "\n",
    "import time \n",
    "SINCE=time.time()\n",
    "\n",
    "for epoch in range(max_epoch):\n",
    "    train(epoch)\n",
    "    \n",
    "    loss, accuracy = validate(epoch)\n",
    "    best_loss, best_acc = save_best(loss, accuracy, best_loss, best_acc)\n",
    "    \n",
    "    NOW=time.time() \n",
    "    DURINGS=NOW-SINCE\n",
    "    SINCE=NOW\n",
    "    print(\"the time of this epoch:[{} s]\".format(DURINGS))\n",
    "    \n",
    "    if epoch>=10 and (epoch-80)%10==0:\n",
    "        test(epoch)\n",
    "    \n",
    "# writer = SummaryWriter() \n",
    "# writer.export_scalars_to_json(\"./all_scalars.json\")\n",
    "\n",
    "# writer.close()\n",
    "\n",
    "#---------------------------- Test ------------------------------\n",
    "test(epoch)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 3: Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test(epoch)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第一次 scale 位于[0,1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "![](http://op4a94iq8.bkt.clouddn.com/18-7-14/70206949.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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X31/fe9LvZ2vJWUnW0hr5uH35k3EJth8Y1/tcVGLf/6o7fBVAgd5VXN0TfcmyvzdZ82xC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\n/x9BnCF17x72RAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 查看训练过程的信息\n",
    "import  matplotlib.pyplot as plt\n",
    "\n",
    "def parse(in_file,flag):\n",
    "    num=-1\n",
    "    ys=list()\n",
    "    xs=list()\n",
    "    losses=list()\n",
    "    with open(in_file,\"r\") as reader:\n",
    "        for aLine in reader:\n",
    "            #print(aLine)\n",
    "\n",
    "            res=[e for e in aLine.strip('\\n').split(\" \")]\n",
    "            if res[0]==\"Train\" and flag==\"Train\":\n",
    "                num=num+1\n",
    "                ys.append(float(res[-1]))\n",
    "                xs.append(int(num))\n",
    "                losses.append(float(res[-3].split(',')[0]))\n",
    "            if res[0]==\"Validation\" and flag==\"Validation\":\n",
    "                num=num+1\n",
    "                xs.append(int(num))\n",
    "                tmp=[float(e) for e in res[-2].split('/')]\n",
    "                ys.append(100*float(tmp[0]/tmp[1]))\n",
    "                losses.append(float(res[-4].split(',')[0]))\n",
    "\n",
    "    plt.figure(1)\n",
    "    plt.plot(xs,ys,'ro')\n",
    "\n",
    "\n",
    "    plt.figure(2)\n",
    "    plt.plot(xs, losses, 'ro')\n",
    "    plt.show()\n",
    "\n",
    "def main():\n",
    "    in_file=\"D://INFO.txt\"\n",
    "    # 显示训练阶段的正确率和Loss信息\n",
    "    parse(in_file,\"Train\") # \"Validation\"\n",
    "    # 显示验证阶段的正确率和Loss信息\n",
    "    #parse(in_file,\"Validation\") # \"Validation\"\n",
    "\n",
    "\n",
    "if __name__==\"__main__\":\n",
    "    main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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B79YtXUHXO6N9gp5FvFmdL+sbhwt9tG0D0thdvmmRRgx9yy2lkO+wA3DJJfb2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\naRBY0BmGYRqE/w/U/zxNDJVCvAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hDBNo+60g7Jjl3rBJxD1uoPQ49t5b3+h2SMt47qbUbxRpPfcwcTcC0tlZ3JDt\nDkielK4S9yzy3JOObpaGMHvixl9evDh7WzIgC3EfCWA2gK8B2AbAVBF5SilV1LIlIuMAjAOALbfc\nMoNTVwGRyj+Zba/Mxn4VN+ywg39UIEOPHjq969NP9UMkatQhI3oiQU0dm3LE3R6I2re/UvHhrDiS\niDsQLe633ab7EIT1fB09Wo/0ZPPKKzoU4iv161KK5+4Ly5hr5OOPgzEHysUVt1oOy1SiFrxtj51z\nH3eucq/bCpHF4+9EAFOUZiGANwF8ybehUmqiUmq4Ump4m4k1k2J8w7UBftGfNSu+N+UOO+iiaWed\nVXxMO3XQFuZRo4Lh1vbaS0+TiHsu52+ovfHG4mWPPVYo7lEMHBi93tiXJG4fJe65XHjGzZIlulHY\n9ZR/8hM9qHguF1/IrLNTt00kJS4sY5c19hEWf1+5Uqdv2r97nOe+ZEn46FtpiGpQtQXWd00YcU87\nCHsS7GPaOfdx56rEW0QGZGHVIgAHAYCIbApgBwBvRO5BovnVr3Q4xX27ueEGYORIYLfdgmWtrX4v\nOykmpg8Ewmg8ka98Rb9ymkaiJOIOFA+wffzxQb69OfZPf6rT3cwxzc141VV6amrgGL7whdivgpaW\nZPH0uKyesDLCm2+ub+SwfP5cLr7Hb9pMFtdznzdPXx9GcOJKNoeJ8Qkn6I57di58nLgPHKizpsrF\nDim52Bk6vvXGpjhvupS3gqiwTBQ16rnHhmVE5A7oLJiNRWQxgIsBtACAUup6AJcCuFlE5gAQAOcp\npRJWcyJeDj/cHxYYNgz429+Kl5fTQLjttkFeryvuQDAwOOAX9yTxf9/NYW5w13MfO1a/YfjKJuy7\nL/DMM+HnaWlJFrePuhmTfJ8ocY8TlbAsLB89e2oxt0cI22+/wgE+4tIVP/ww6INhY9pUbHt94v7i\ni9p5MGG1LDo3hY2l69pg2jFsknruWQ6p2KjirpQ6Nmb9UgAZFiAnqSmngfDCC3U5A/s4YRerTziT\nvP7aHmBYg6o9xihQHDvv0QM47rh04n7qqfqt47XXCrcrV9zDesEm2Tesc5OPlhadT2/jlktOIu4+\nfKE/n7jvtpt+sCat4ZOEqBGn7AdZ1CDkFPdYajNYRNJRjue+007A17+u5+O83qjh46LwhQZcz93c\nWJtuqocofPjhwu1bWuIfYnZYZp999AAlvsbmL35RPyjMaEs2STz/sIyjNFlMSfD9X92HaVwYyDxM\nTjwROPDAYLkRSVuYXHEz23zySbb1Zsx3iHswRYl73HUXtX7NGv32dfPNhcsp7qTmKPfiMjdMWLqi\nwSc2SW56O8TkHtvk2puGPxHnrbw5AAAWQUlEQVSdZrrjjoXbJWksbWqKH2j87rv1drfeWtw2ABQK\n9H336V7EP/pRYbnmsI5SXSHuLnGjEv37v+vpzTfrWuimUJwRrPPO02K7dGl0zH3y5OjzKKVTMH3F\n3lzMNRMn7r71xsa46y5q/ZQpunDgj36UbJ9u3KBK6h23Y0iasEzYhX/jjUExtqgBNYwXHNfQ2KNH\nvLiLALvvDvznfwJ/+pN/Gzv+bIuxr5PVYYfp7zFhgu5RbGhr05VCXaoh7nHZK+4xjKAZkXzsMS34\nW2xR/JZjZ+lEpdACumF2/Hj9MIyjHM/dUE5YxrQ3rF2rG/Dvuy/6mPTcSd1iPLQ4cfeJV9iFf9JJ\nwC9/qed94m5ucFNfPi680NKSTDybmvR57Uyj008P5u0HhC3ku++up7mc7g/ghoVcfPn0rn1J0n3t\nBmuXtOJ+/vmF67bbLrx/gS2sprKk21iaZixf8/9L47nH5dFHiapZ9+mnfscgyYNh3TpdXfOII/Tn\nqB6qgO4JLBKkCBvouZOKcv31QdZLWpKWUQ0b+zMM0zvWFgn3wREl7va2dmrkyJHBfHOzTtG77rpw\nO669NhBjW9xtMTbhITM+bJyw2eJuavS44u5WZXTLLwP+zJvf/14XOksi7nYeu9trul+/8EqdtvgZ\ncUzqgR5zTHHDsBHGJMcw265frx+8YQPPRAn0lCk6nbNPn8J03iT7pg2/mGOZXuc33VS4vkY9d5ZW\naxTCRkdKghH3zTfX07C8eV9YJErcm5qARYv8Hqy5waPCMmbQi1NO0cJlBsOwPe5165LdXMbOOHEP\nGxDbxc7qsMse27jevS+s5WucHT1al9xNkwXlG+jCiLuvlrktfubBmtQDnTRJP1TsMV99Xu+yZfo7\nuCUwbM896qEcFbax673bteANSbx+1+Y4cbcfYKtWaSfDN8xmjUDPnQSj1FxwgS5idtpp/u0GDNCN\ncvaISXGxz0GDCnu+uh608dx94mDE5rLLCr1eI5InnpjcazLHDwvLGLGOqklvYwt3mLi7pRh8YSWf\nuJvvnTQLqkeP4nRPQIv7p5/6RyHyiXua9EH3/+7z3Dff3J82mkVYJo4sPXez3P6Od9+t2xl+/vOa\n9dwp7kSHLZ56Snt/3/lOdGx7//0LBSntDTh+vH6ImIHDowqZGTvM1H4ArF6dbkQln7jb39OkgyYZ\n6g0o9NyN0Lu/m+t5+958hg7VZQDMW4l9nKTiHlbPx+3la5gzp7DYlXlrSlMq2H0Yx4VlBg8Oavnb\nYZkoyhH3KKfDFWtAD/qexnOvUUG3obgTLU777Zd8+6jc6Dh69QJ+9jN/DNzFFXfjvQ8erB8KabJT\nfGEZ23M//nidHmcaVuMI89xtkXZDTSLFoZrWVl34y25YTeu5hxVLCxN3t46/8dzTDJaepnaLiA7P\nTZ+uPyctnVBpz90O+4wcmU7cDWmrfHYhFHdSHuVe2OZG2XPP4nVuadj999fxXpOFk4a4mDuQrkaP\n7bnbwx7+y78EA4W74t7RUXwOI8y2kGcl7klGhgICUU9T9yat5+7bNs5zL2ckqEo0qIZ57pWoUJkB\nFHeSnnI8dx+LFul8a5dJk3Tmih26Ofro0gb1MI26YZ57WmzhDQsfHXGEfiMwjYYdHfr13+bww/XU\nDuGkFfcwQU06uLMR9ThxNw3uQLy4v/56+HHMNRPXvlGqaC5Zosf8jTu/S1xmET130vDYudNZXNiD\nBgUNqzYjR+qc8yw6Bz3zDDBxYqGgl3Nc+wYPE/fevYFbbgmGYOzsLIzpKxWMS5vGczdvBgb7f3D7\n7brD0S67+FMEfZj948TdHtUrrkF1223jz2cXQPNRqrgPHFj8G/nO7+JreLa393nuPnG/6qpsa/GU\nCMWdpGfChGBw8Bp9JS1i222L66hn1aM0TNyNAJjwSNRv5fPcw1ITTQ6+eaOxxeXYY4E77tDVHMMK\nnIWxdm20t2+HlLIIyyQV97ga72lJe812dOg/ewjKKHH/4Q+BH/wg/HjHHhvegzpDKO4kPb17Ayef\nrOdr9JU0EVn1LHTF3XiAppHUiHtUDNnnudtCOXp0MG8EznjSYf8Dd/zcOOLE3R4w5fXXgYsvLq7m\nmabPQZy4Dx+us5iiKleWQtprtqNDVxj96U/1Z1vcb7nFX5ph6dLiZc88oxuRJ0+OH2AnAyjupDQ2\n3lgPAh5XUKo7YEI9RpQvukgPUv3Vr+rPZqCRKGHyibsRtQkTCitYmsJlJl4fdty04r5+fXR7hivu\nl1wCvPNOtA0+zIMgLlsGAB58UE+nTtXTKGFevrxwoPkwShF3eySxJA8wN8Q1Z47OSDvnHH28JCOG\nlQnFnZRGLqe7Y9ujvnc3mpq00Lqeey6nBxYx9OunPeLf/Cb6WO68Efzm5kLR3WcfLarm1T9MrOyO\nX1OnAt/9buH6ESOK94kSnUGDwrc34p7Gc0+DCUVF7XvaacUlGLI4v/vgUio+pu6mlS5frqczZ+pp\nOWMwJITlBwgplc8/12J21ln6c1g8uLm5sKzBE09E1wFyOzG54g5oL/rdd/V8mFjZQt3WVtxAO358\nYV4+EO25+8T9gw+0fZUWd0PUG0Jcnr4ZhL0UcRcJ/r9XXBG/j+u5m31NRzF67oTUMM3NWoiNGCcN\nTYwYoccvDcN47ibc09zs9/Q22UTX3fENvejSq1dx6qedq28I6zHc0uIfrm/HHXWIzjf4h48zzywu\nvJUEU5+mnAfDwIE6myjtMTo707fPhGUemVAUxZ2QOiCtuMfhhmVyOb9oNjXpaqBJetX27l0s7j6B\nCRP3DTeMLhVhxoZ96CE9clMYV18dbWcYbvjHR9yDZelSnTGVVtyvvz79/9Z9i3A7bnVBWIbiTki5\nGNGslLiXc1xTM6dPn2Jx93Xi2mAD4MgjCxsQzf5R4n7qqcH8hAml2RrF0qVavBcs8K9fsCB5SCit\nuP/lL+m2B4rF3S2WRs+dkDoga8/diJQR37hu+lHcdZeOqw8YEC3u5px9++qKh+6ISr16+Tua+bCL\nknUV22+fXNy7om9GWD8AhmUI6SJuuEFXxCyHSom78dzLqbHSq5eudwNEi7s5V5h33qOHFvckBeZ8\n9dW7gkWL4rdZt073VK40bgc5V9wZliGkwowbl64ipo+sxd2QhefuO57vs0/cJ08GdttNz+dyOlz0\n1FM6bBOFyeLpal56qTrnDcO+Hui5E1KHVErcjeB2hbibeTv0ctRRuqu8S1zZhqgG1e7CihXAQQcF\nnynuhNQhlRZ3OyxTziARUeJuhhk0vWnd5XYjZJy4pxn0o5F54olgntkyhNQhWWfLGFzP/f334+ux\nRGHs/NKXgHnzCsXd5GVvtVXhPvbA4e5xwkg6VGF3YPVqPXXFnZ47IXVAVp77nDmFQwcecICemhIP\n/fsnH4DDhxHlQYN05yPzubU1CKXssEPhPqajk/3d4jz3NCM6NRJ2GMZg3mLc9EuKOyF1gCmtm7ZQ\nl8vOOwfVNgHd0PvJJ0FdlXIJC8tssAFwwgl63q0B7/PcKe5+hg0rXmZ+NzfjiWEZQuqA447T6XU/\n+lH2xzbimgWuuBtvvE8f4JprgJUri+vP+GLu5YxgVS+EjT8bhU+wTRjGFXd67oTUAU1Nult7F3hj\nZWFE2Qi1SXs85hgt6qZ+i40R9zRhmSyZOxd44IH0+/XrV17F0s02S7+Pb+QsI+puyI7iTgjJDBOv\nNxUq29p0Tvrll4fvkyQs444La7Pppv6CY0kZOhQYM0Y/kPbeO/l+t95anPmThlLE3fdGExaWSTq+\nbRnEiruI3CQiy0Xk5YhtDhCR2SIyV0SeCNuOEFJFTJuAyeAAtPhGVTxM0qBqD5ztMm5ccvuiOiGJ\nFHrGP/5x9LGam8tLybTHCU6Kz3N/6CE9dcXdV5EzY5J47jcDGBW2UkT6Afg9gMOVUjsBODob0wgh\nmeIT9zhMffeoXPusQgxhA1QbjGd84YXBGL5h5HLxA36bc86bV7zcF6KKwxeuMrX+3d+vFhpUlVJP\nAlgVscm/A5iilFqU3355RrYRQrKkFHE3oZzzzgvfJkqo4ga0TtNgbJdAjsPnufvO1bevTgt1SxGX\nkvkUFgZSStfdN7S2ltcZLSFZxNy3B7CRiPxDRGaKyPFhG4rIOBGZISIzVqxYkcGpCSGJKUXce/bU\n4mRnArmCHeW529v66s77CpXZY7XaGHH3hZFOPLHwcy5XLO72sIMG82YyfnxhGuiAAfEPJpew8JTb\nJtEF8XYgm2H2mgHsDuAgAL0B/FNEpimlXnM3VEpNBDARAIYPH57ylyOElIXxLDfdNNvjJhX3MFHr\n109n7ADAkiU6797XWct47D5xd71yn+e++ebF5Yht221vevvt/bZGEdYIO8qJaq9cmf7YJZCF574Y\nwN+UUmuUUisBPAnAk81PCKkqTU26vvuzz5Z3HNejjQrLfOtbwfZh4v7BB3q0I0ALcFh4w4i6Lywz\nZEjhZ9tzP/dc4IwzgEsvLd4vTNyTVgo9++xgvpQMmwqShef+FwDXiEgzgB4A9gIQMcw7IaRqfPOb\n2R/T57lvuSXw9tuFy3yDb++8c/LzGHH3ee7bbKNTPE0Wiu25/+AH/sG9XZvMce+4I3lbwKmnAlde\nqeezfiMqk1hxF5E7ABwAYGMRWQzgYgAtAKCUul4pNV9E/gbgJQCdAG5USoWmTRJCGgyfJ22XKTZZ\nK65H/sgjwB57+I95xBHAhx8WLovy3EUK3wxscY8KG/k8d18ZgTDcmvhK6fj9NdckP0aFiBV3pZSn\noHPRNlcAuCITiwghtY2vofHtt4HBg4PPtrh//LGe7rhj4T6HHBJ+jnvvLV4WFXN3l+Vy+mGycqX/\njcHgE/c0Dam+jktpG2IrRDcoEkEIyRSfeG25ZeFn3wAjbjnhtMR57jbNzcDUqcDDD0f3VPWFZZKK\n8+GHd20phpRQ3Akh2WOL+6WX6kG6y+3sFOW5u+Key+nUxtNOiz6mz3N3y/P6eOAB4MADg7cSm7iH\ng+nYVGFYW4YQkj1mODkAuOgiHV/3dc9PgwmBJBH3pJUrbc89TVhm7711jL8Uz/2ii9LvUwIUd0JI\nOpKIn1tLBSgU97vuSn/etjY99Y3R6ou5J8H23M0xknjuJv2zlJh7uQ+5hFDcCSHZMGMGMHly+Hoj\niHvuWVpKpskjX7aseF2pnrst7ub4Seq+GIEuRai7qDQ0Y+6EkHSEeaa77w7stFP4fkYIk3jGPqLE\nPann/sADwNe/Hny2wzK33aazdIYOjbfFfJfWVuDPfy7MFEq6b4WhuBNCsiOq0bRccTdVI91xXoHk\nnvuYMYWfbXsHDABOOimZLfbD5FvfKlwXF5bpogwbijshJDtEdAVJV0SB8sV9p52A2bMDz3qnnfRI\nTUCx515Kg2pW1EieO2PuhJB0xInXL34BjBhRvNwIrjvkXBqGDQseEi+8AFxyiZ731ZaJ44orgMMO\nK92WMCjuhJC6pFTxMoJbqufu0tKi0wrffbewXC+QzHM/99z4gbC//vUuK9GbNQzLEEK6hqzFHdBh\nIF/Brqzi2vffr9M60zSChtWj72LouRNC0lHqwNNp8shL5atf1dMsGy3THuv883VlySpDcSeEpOPi\ni4HLL0+/n8loKSfmHseDDwLPPZetuKcdEq+lBRg7tuqxd4ZlCCHpaG0FLrhAV1x00wCjiKoNkxUb\nbhheRrga5HKVfZhFQHEnhKRHJBikIinbbKMbMU8+uTI2JWXSpOLsmkqxalUwZOC3vw28/nrXnBeA\nqCq9OgwfPlzNmDGjKucmhJBUiOg3guef15/T6GYpdeIjDyczlVLD47aj504IIXG88w6w0UZ68O46\ngeJOCCFx1Eh6YxqYLUMIIZXGHWKwC6DnTgghSbnrrvQ9Vj/5JHmtmwyhuBNCSFJKqUPfp0/2diSA\nYRlCCGlAKO6EENKAUNwJIaQBobgTQkgDQnEnhJAGhOJOCCENCMWdEEIaEIo7IYQ0IFWrCikiKwC8\nXeLuGwNYmaE5laae7KWtlYG2VobuaOtgpVRb3EZVE/dyEJEZSUpe1gr1ZC9trQy0tTLQ1nAYliGE\nkAaE4k4IIQ1IvYr7xGobkJJ6spe2VgbaWhloawh1GXMnhBASTb167oQQQiKoO3EXkVEi8qqILBSR\n82vAnptEZLmIvGwt6y8iU0VkQX66UX65iMjVedtfEpHdutjWQSLyuIjMF5G5InJmrdorIr1E5DkR\neTFv63/nl28lItPztv5ZRHrkl/fMf16YXz+kq2y1bM6JyAsicn8t2yoib4nIHBGZLSIz8stq7hrI\nn7+fiNwlIq/kr9t9atjWHfK/qflbLSJnVc1epVTd/AHIAXgdwNYAegB4EcDQKts0AsBuAF62lk0A\ncH5+/nwAv8zPjwHwEAABsDeA6V1s62YAdsvP9wXwGoChtWhv/pwb5OdbAEzP2zAJwNj88usBnJaf\nPx3A9fn5sQD+XIVr4WwAtwO4P/+5Jm0F8BaAjZ1lNXcN5M9/C4CT8/M9APSrVVsdu3MA3gUwuFr2\nVuWLl/GD7QPgYevzBQAuqAG7hjji/iqAzfLzmwF4NT9/A4BjfdtVye6/ADik1u0F0ApgFoC9oDuB\nNLvXA4CHAeyTn2/ObyddaONAAI8B+BqA+/M3bK3a6hP3mrsGAHwBwJvub1OLtnps/1cAz1TT3noL\ny2wB4B3r8+L8slpjU6XUMgDITzfJL68Z+/OhgF2hPeKatDcf5pgNYDmAqdBvbR8qpdo99vy/rfn1\nHwEY0FW2ArgKwH8C6Mx/HoDatVUBeEREZorIuPyyWrwGtgawAsD/5MNdN4pInxq11WUsgDvy81Wx\nt97EXTzL6indpybsF5ENANwN4Cyl1OqoTT3LusxepVSHUuor0F7xngB8Q8gbe6pmq4gcCmC5Umqm\nvTjCnmpfB/sqpXYDMBrAGSIyImLbatraDB3yvE4ptSuANdBhjTCq/btqI3TbyuEAJsdt6lmWmb31\nJu6LAQyyPg8EsLRKtkTxnohsBgD56fL88qrbLyIt0MJ+m1JqSn5xzdoLAEqpDwH8Azou2U9EzMDu\ntj3/b2t+/YYAVnWRifsCOFxE3gJwJ3Ro5qoatRVKqaX56XIA90A/OGvxGlgMYLFSanr+813QYl+L\nttqMBjBLKfVe/nNV7K03cX8ewHb5LIQe0K8+91XZJh/3Afhufv670LFts/z4fCv53gA+Mq9rXYGI\nCIA/ApivlLqylu0VkTYR6Zef7w3gYADzATwO4KgQW813OArA31U+kFlplFIXKKUGKqWGQF+Tf1dK\nfbsWbRWRPiLS18xDx4ZfRg1eA0qpdwG8IyI75BcdBGBeLdrqcCyCkIyxq+vtrUZjQ5kNFWOgszxe\nB/DjGrDnDgDLAKyHfhKfBB0/fQzAgvy0f35bAXBt3vY5AIZ3sa37Qb/2vQRgdv5vTC3aC2AXAC/k\nbX0ZwE/yy7cG8ByAhdCvvT3zy3vlPy/Mr9+6StfDAQiyZWrO1rxNL+b/5pp7qBavgfz5vwJgRv46\nuBfARrVqa96GVgDvA9jQWlYVe9lDlRBCGpB6C8sQQghJAMWdEEIaEIo7IYQ0IBR3QghpQCjuhBDS\ngFDcCSGkAaG4E0JIA0JxJ4SQBuT/AHC9SchdaANwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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88UeowtCh9vi112J3VkyG4mKbi3XaNJg9O3H78fq+cznJE39Eaakl2TPOsKtY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\nDuAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Med4Y4zPG+AoKCiw4NJFH/fznWideskQX0LbK2LE6oJgjpQl89JH22xk/Xn+/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\n/wPtS+GMghk59AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 查看训练过程的信息\n",
    "import  matplotlib.pyplot as plt\n",
    "\n",
    "def parse(in_file,flag):\n",
    "    num=-1\n",
    "    ys=list()\n",
    "    xs=list()\n",
    "    losses=list()\n",
    "    with open(in_file,\"r\") as reader:\n",
    "        for aLine in reader:\n",
    "            #print(aLine)\n",
    "\n",
    "            res=[e for e in aLine.strip('\\n').split(\" \")]\n",
    "            if res[0]==\"Train\" and flag==\"Train\":\n",
    "                num=num+1\n",
    "                ys.append(float(res[-1]))\n",
    "                xs.append(int(num))\n",
    "                losses.append(float(res[-3].split(',')[0]))\n",
    "            if res[0]==\"Validation\" and flag==\"Validation\":\n",
    "                num=num+1\n",
    "                xs.append(int(num))\n",
    "                tmp=[float(e) for e in res[-2].split('/')]\n",
    "                ys.append(100*float(tmp[0]/tmp[1]))\n",
    "                losses.append(float(res[-4].split(',')[0]))\n",
    "\n",
    "    plt.figure(1)\n",
    "    plt.plot(xs,ys,'r-')\n",
    "\n",
    "\n",
    "    plt.figure(2)\n",
    "    plt.plot(xs, losses, 'r-')\n",
    "    plt.show()\n",
    "\n",
    "def main():\n",
    "    in_file=\"D://INFO.txt\"\n",
    "    # 显示训练阶段的正确率和Loss信息\n",
    "    parse(in_file,\"Train\") # \"Validation\"\n",
    "    # 显示验证阶段的正确率和Loss信息\n",
    "    parse(in_file,\"Validation\") # \"Validation\"\n",
    "\n",
    "\n",
    "if __name__==\"__main__\":\n",
    "    main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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