3.Dual Path Networks(DualPathNet) in PyTorch with Fashion-MNIST.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jwserver/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "import argparse\n",
    "import os\n",
    "import shutil\n",
    "import time\n",
    "import numpy as np\n",
    "import sys\n",
    "from collections import OrderedDict\n",
    "\n",
    "import tensorflow as tf\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.nn.parallel\n",
    "import torch.backends.cudnn as cudnn\n",
    "import torch.nn.init as init\n",
    "import torch.optim\n",
    "import torch.utils.data\n",
    "import torchvision.transforms as transforms\n",
    "import torchvision.datasets as datasets\n",
    "from torch.autograd import Variable\n",
    "from torch.autograd import Function\n",
    "\n",
    "# used for logging to TensorBoard\n",
    "from tensorboard_logger import configure, log_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def conv3x3(in_planes, out_planes, stride=1):\n",
    "    return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=1, bias=False)\n",
    "\n",
    "\n",
    "class PreActBlock(nn.Module):\n",
    "    '''Pre-activation version of the BasicBlock.'''\n",
    "\n",
    "    def __init__(self, in_planes, planes, stride=1):\n",
    "        super(PreActBlock, self).__init__()\n",
    "        self.bn1 = nn.BatchNorm2d(in_planes)\n",
    "        self.conv1 = conv3x3(in_planes, planes, stride)\n",
    "        self.bn2 = nn.BatchNorm2d(planes)\n",
    "        self.conv2 = conv3x3(planes, planes)\n",
    "\n",
    "        if stride != 1 or in_planes != planes:\n",
    "            self.shortcut = nn.Sequential(\n",
    "                nn.Conv2d(in_planes, planes, kernel_size=1, stride=stride, bias=False)\n",
    "            )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = F.relu(self.bn1(x))\n",
    "        shortcut = self.shortcut(out) if hasattr(self, 'shortcut') else x\n",
    "        out = self.conv1(out)\n",
    "        out = self.conv2(F.relu(self.bn2(out)))\n",
    "        out += shortcut\n",
    "        return out\n",
    "\n",
    "\n",
    "class ConvBlock(nn.Module):\n",
    "    '''Similar to PreActBlock but without shortcut connection.'''\n",
    "    def __init__(self, in_planes, planes, stride=1):\n",
    "        super(ConvBlock, self).__init__()\n",
    "        self.bn1 = nn.BatchNorm2d(in_planes)\n",
    "        self.conv1 = conv3x3(in_planes, planes, stride)\n",
    "        self.bn2 = nn.BatchNorm2d(planes)\n",
    "        self.conv2 = conv3x3(planes, planes)\n",
    "\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = F.relu(self.bn1(x))\n",
    "        out = self.conv1(out)\n",
    "        out = self.conv2(F.relu(self.bn2(out)))\n",
    "        return out\n",
    "\n",
    "\n",
    "class Transition(nn.Module):\n",
    "    '''Transition layer between stages.\n",
    "       Transition layer starts both the resnet\n",
    "       branch and the densenet branch of a stage.\n",
    "    '''\n",
    "    def __init__(self, block, in_planes, planes, growth_rate, stride=1):\n",
    "        super(Transition, self).__init__()\n",
    "        self.resnet_block = block(in_planes, planes, stride)\n",
    "        self.conv = conv3x3(in_planes, 2*growth_rate, stride)\n",
    "\n",
    "    def forward(self, x):\n",
    "        resnet_path = self.resnet_block(x)\n",
    "        densenet_path = self.conv(x)\n",
    "        out = torch.cat([resnet_path, densenet_path], 1)\n",
    "        return out\n",
    "\n",
    "\n",
    "class DualPathBlock(nn.Module):\n",
    "    def __init__(self, block, in_planes, res_planes, growth_rate, stride=1):\n",
    "        super(DualPathBlock, self).__init__()\n",
    "        self.conv_block = block(in_planes, res_planes + growth_rate, stride)\n",
    "        self.res_planes = res_planes\n",
    "\n",
    "    def forward(self, x):\n",
    "        merge_out = self.conv_block(x)\n",
    "        out = torch.cat([x[:,:self.res_planes] + merge_out[:,:self.res_planes],   # resnet branch.\n",
    "                         x[:, self.res_planes:],              # new features of densenet branch.\n",
    "                         merge_out[:, self.res_planes:]], 1)  # all previous features of densenet branch.\n",
    "        return out\n",
    "\n",
    "\n",
    "class DualPathNet(nn.Module):\n",
    "    def __init__(self, conv_block, transition_block, num_blocks, filters, growth_rates, num_classes=10):\n",
    "        super(DualPathNet, self).__init__()\n",
    "        self.in_planes = 16\n",
    "        self.conv1 = conv3x3(1, self.in_planes)\n",
    "\n",
    "        self.stage1_0 = Transition(transition_block, self.in_planes, filters[0], growth_rates[0], stride=1)\n",
    "        self.in_planes = filters[0] + 2 * growth_rates[0]\n",
    "        self.stage1 = self._make_layer(conv_block, self.in_planes,\n",
    "                                       filters[0], num_blocks[0],\n",
    "                                       growth_rates[0], stride=1)\n",
    "\n",
    "        self.stage2_0 = Transition(transition_block, self.in_planes, filters[1], growth_rates[1], stride=2)\n",
    "        self.in_planes = filters[1] + 2 * growth_rates[1]\n",
    "        self.stage2 = self._make_layer(conv_block, self.in_planes,\n",
    "                                       filters[1], num_blocks[1],\n",
    "                                       growth_rates[1], stride=1)\n",
    "\n",
    "        self.stage3_0 = Transition(transition_block, self.in_planes, filters[2], growth_rates[2], stride=2)\n",
    "        self.in_planes = filters[2] + 2 * growth_rates[2]\n",
    "        self.stage3 = self._make_layer(conv_block, self.in_planes,\n",
    "                                       filters[2], num_blocks[2],\n",
    "                                       growth_rates[2], stride=1)\n",
    "\n",
    "        self.bn = nn.BatchNorm2d(self.in_planes)\n",
    "        self.linear = nn.Linear(self.in_planes, num_classes)\n",
    "\n",
    "        for m in self.modules():\n",
    "            if isinstance(m, nn.Conv2d):\n",
    "                n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels\n",
    "                m.weight.data.normal_(0, math.sqrt(2. / n))\n",
    "                # m.bias.data.zero_()\n",
    "            elif isinstance(m, nn.BatchNorm2d):\n",
    "                m.weight.data.fill_(1)\n",
    "                m.bias.data.zero_()\n",
    "            elif isinstance(m, nn.Linear):\n",
    "                init.kaiming_normal(m.weight)\n",
    "                m.bias.data.zero_()\n",
    "\n",
    "    def _make_layer(self, block, in_planes, planes, num_blocks, growth_rate, stride):\n",
    "        strides = [1]*(num_blocks-1)\n",
    "        layers = []\n",
    "        for stride in strides:\n",
    "            layers.append(DualPathBlock(block, self.in_planes, planes, growth_rate, stride))\n",
    "            self.in_planes += growth_rate\n",
    "        return nn.Sequential(*layers)\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = self.conv1(x)\n",
    "\n",
    "        out = self.stage1_0(out)\n",
    "        out = self.stage1(out)\n",
    "\n",
    "        out = self.stage2_0(out)\n",
    "        out = self.stage2(out)\n",
    "\n",
    "        out = self.stage3_0(out)\n",
    "        out = self.stage3(out)\n",
    "\n",
    "        out = F.relu(self.bn(out))\n",
    "        out = F.avg_pool2d(out, 7)\n",
    "        out = out.view(out.size(0), -1)\n",
    "        out = self.linear(out)\n",
    "        return out\n",
    "\n",
    "\n",
    "\n",
    "def DualPathNet_28_10(num_blocks, filters, growth_rates, num_classes=10):\n",
    "    return DualPathNet(ConvBlock, PreActBlock, num_blocks, filters, growth_rates, num_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "hparam = dict()\n",
    "\n",
    "# Dataset Configuration\n",
    "hparam['dataset'] = 'FashionMNIST'\t\t\t\t# Name of the dataset\n",
    "hparam['classes'] = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',\n",
    "                     'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']\t\t# List of classes\n",
    "hparam['data_split'] = 30000\t\t\t\t\t# Rearranging Train/Val Ratio (False if default)\n",
    "\n",
    "# Training Configuration\n",
    "hparam['print_freq'] = 10\t\t\t\t\t\t# Print frequency\n",
    "hparam['start_epoch'] = 0\t\t\t\t\t\t# Manual Epoch number (useful on restarts)\n",
    "hparam['resume'] = None\t\t\t\t\t\t\t# Path to latest checkpoint\n",
    "hparam['name'] = 'DualPathNet_28_10'\t\t\t# Name of experiment\n",
    "hparam['tensorboard'] = False\t\t\t\t\t# Log progress to Tensorboard\n",
    "hparam['manual_seed'] = 40000\t\t\t\t\t# Seed Number\n",
    "\n",
    "# Hyperparameter Configuration\n",
    "hparam['epochs'] = 200\t\t\t\t\t\t\t# Number of total epochs to run\n",
    "hparam['batch_size'] = 256\t\t\t\t\t\t# Mini-batch size (256 recommended for 1080ti)\n",
    "hparam['lr'] = 0.1\t\t\t\t\t\t\t\t# Initial Learning Rate\n",
    "hparam['momentum'] = 0.9\t\t\t\t\t\t# Momentum\n",
    "hparam['nesterov'] = False\t\t\t\t\t\t# Nesterov momentum\n",
    "hparam['weight_decay'] = 5e-4\t\t\t\t\t# Weight-decay\n",
    "hparam['layers'] = 100\t\t\t\t\t\t\t# Total number of layers\n",
    "hparam['num_blocks'] = [4, 4, 4]\t\t\t\t# Number of Blocks to implement (DualPathNet)\n",
    "hparam['filters'] = [160, 320, 640]\t\t\t\t# Filters to apply on each block (DualPathNet)\n",
    "hparam['growthrate'] = [16, 32, 64]\t\t\t\t# Growth Rate (DualPathNet)\n",
    "hparam['augment'] = True\t\t\t\t\t\t# Whether to use standard augmentation\n",
    "\n",
    "# GPU Configuration\n",
    "hparam['cuda_device'] = '1'\t\t\t\t\t\t# Which GPU Devices to use (CPU: False)\n",
    "\n",
    "# Hardward Usage\n",
    "hparam['num_workers'] = 6\t\t\t\t\t\t# Number of Workers (1 for Single CUDA)\n",
    "\n",
    "best_prec1 = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def main(hparam):\n",
    "    global best_prec1\n",
    "    \n",
    "    if hparam['tensorboard']: configure(\"runs/%s\"%(hparam['name']))\n",
    "    \n",
    "    torch.manual_seed(hparam['manual_seed'])\n",
    "    print(\"Current CPU Random Seed: {}\".format(torch.initial_seed()))\n",
    "    \n",
    "    device_nums = str(hparam['cuda_device']).strip('[]')\n",
    "    device = torch.device(\"cuda:{}\".format(device_nums)\n",
    "                              if hparam['cuda_device'] else \"cpu\")\n",
    "    \n",
    "    if hparam['cuda_device']:\n",
    "        torch.cuda.manual_seed_all(hparam['manual_seed'])\n",
    "        print(\"Current GPU Random Seed: {}\".format(torch.cuda.initial_seed()))\n",
    "        \n",
    "        \n",
    "    normalize = transforms.Normalize(mean=[x/255.0 for x in [125.3, 123.0, 113.9]],\n",
    "                                     std=[x/255.0 for x in [63.0, 62.1, 66.7]])\n",
    "\n",
    "    if hparam['augment']:\n",
    "        transform_train = transforms.Compose([\n",
    "            transforms.ToTensor(),\n",
    "            transforms.Lambda(lambda x: F.pad(x.unsqueeze(0),\n",
    "                                (4,4,4,4),mode='reflect').squeeze()),\n",
    "            transforms.ToPILImage(),\n",
    "            transforms.RandomCrop(32),\n",
    "            transforms.RandomHorizontalFlip(),\n",
    "            transforms.ToTensor(),\n",
    "            normalize,\n",
    "            ])\n",
    "    else:\n",
    "        transform_train = transforms.Compose([\n",
    "            transforms.ToTensor(),\n",
    "            normalize,\n",
    "            ])\n",
    "    transform_test = transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "        normalize\n",
    "        ])\n",
    "\n",
    "    # Load Dataset\n",
    "    if hparam['data_split']:\n",
    "        # Concat and Split Dataset into new Train/Val ratio\n",
    "        (train_data, train_labels), (test_data, test_labels) = tf.keras.datasets.fashion_mnist.load_data()\n",
    "\n",
    "        N = hparam['data_split']\n",
    "        \n",
    "        test_data = np.concatenate((test_data, train_data[N:]), axis=0)\n",
    "        test_labels = np.concatenate((test_labels, train_labels[N:]), axis=0)\n",
    "        \n",
    "        train_data = train_data[:N]\n",
    "        train_labels = train_labels[:N]\n",
    "        \n",
    "        train_data = torch.from_numpy(train_data).float()\n",
    "        train_labels = torch.from_numpy(train_labels).long()\n",
    "        test_data = torch.from_numpy(test_data).float()\n",
    "        test_labels = torch.from_numpy(test_labels).long()\n",
    "        \n",
    "        print(\"Test Data:\", test_data.shape)\n",
    "        print(\"Train Data:\", train_data.shape)\n",
    "        \n",
    "        train_dataset = torch.utils.data.TensorDataset(train_data.unsqueeze(1), train_labels)\n",
    "        val_dataset = torch.utils.data.TensorDataset(test_data.unsqueeze(1), test_labels)\n",
    "\n",
    "        print(\"(Rearranged)Train: {}\\t Test: {}\".format(len(train_dataset), len(val_dataset)))\n",
    "        \n",
    "    else:\n",
    "        train_dataset = datasets.__dict__[hparam['dataset']](\n",
    "            './data', train=True, download=True, transform=transform_test)\n",
    "        val_dataset = datasets.__dict__[hparam['dataset']](\n",
    "            './data', train=False, transform=transform_test)\n",
    "    \n",
    "    kwargs = {'num_workers': hparam['num_workers'], 'pin_memory': True}\n",
    "    assert(hparam['dataset'] == 'FashionMNIST' or hparam['dataset'] == 'MNIST')\n",
    "    \n",
    "    # Import dataset to DataLoader\n",
    "    train_loader = torch.utils.data.DataLoader(\n",
    "        train_dataset, batch_size=hparam['batch_size'], shuffle=True, **kwargs)\n",
    "    val_loader = torch.utils.data.DataLoader(\n",
    "        val_dataset, batch_size=hparam['batch_size'], shuffle=True, **kwargs)\n",
    "    \n",
    "    # create model\n",
    "    model = DualPathNet_28_10(num_blocks=hparam['num_blocks'],\n",
    "                              filters=hparam['filters'],\n",
    "                              growth_rates=hparam['growthrate'],\n",
    "                              num_classes=hparam['dataset'] == 'FashionMNIST' and len(hparam['classes']))\n",
    "\n",
    "    # for training on multiple GPUs.\n",
    "    # Use CUDA_VISIBLE_DEVICES=0,1 to specify which GPUs to use\n",
    "    # WARNING: Multi-GPU Mode is not working properly for now...\n",
    "    if type(hparam['cuda_device']) == list and len(hparam['cuda_device']) > 1:\n",
    "        print('\\n===> Training on Multi-GPU!')\n",
    "        model = nn.DataParallel(model, device_ids=hparam['cuda_device'], dim=0)\n",
    "    else:\n",
    "        print('\\n===> Training on Single-GPU!')\n",
    "    model = model.to(device)\n",
    "    \n",
    "    # get the number of model parameters\n",
    "    print('Number of model parameters: {}'.format(\n",
    "        sum([p.data.nelement() for p in model.parameters()])))\t\t# 47.75M Parameters expected\n",
    "\n",
    "    # optionally resume from a checkpoint\n",
    "    if hparam['resume']:\n",
    "        if os.path.isfile(hparam['resume']):\n",
    "            print(\"=> loading checkpoint '{}'\".format(hparam['resume']))\n",
    "            checkpoint = torch.load(hparam['resume'])\n",
    "            hparam['start_epoch'] = checkpoint['epoch']\n",
    "            best_prec1 = checkpoint['best_prec1']\n",
    "            model.load_state_dict(checkpoint['state_dict'])\n",
    "            print(\"=> loaded checkpoint '{}' (epoch {})\"\n",
    "                  .format(hparam['resume'], checkpoint['epoch']))\n",
    "        else:\n",
    "            print(\"=> no checkpoint found at '{}'\".format(hparam['resume']))\n",
    "\n",
    "    cudnn.benchmark = True\n",
    "\n",
    "    # define loss function (criterion) and optimizer\n",
    "    criterion = nn.CrossEntropyLoss().to(device)\n",
    "    optimizer = torch.optim.SGD(model.parameters(), hparam['lr'],\n",
    "                                momentum=hparam['momentum'],\n",
    "                                nesterov = hparam['nesterov'],\n",
    "                                weight_decay=hparam['weight_decay'])\n",
    "\n",
    "    start_time = time.time()\n",
    "    \n",
    "    for epoch in range(hparam['start_epoch'], hparam['epochs']):\n",
    "        adjust_learning_rate(optimizer, epoch+1, hparam)\n",
    "\n",
    "        # train for one epoch\n",
    "        train(train_loader, model, criterion, optimizer, epoch, hparam)\n",
    "\n",
    "        # evaluate on validation set\n",
    "        prec1 = validate(val_loader, model, criterion, epoch, hparam)\n",
    "\n",
    "        # remember best prec@1 and save checkpoint\n",
    "        is_best = prec1 > best_prec1\n",
    "        best_prec1 = max(prec1, best_prec1)\n",
    "        save_checkpoint({\n",
    "            'epoch': epoch + 1,\n",
    "            'state_dict': model.state_dict(),\n",
    "            'best_prec1': best_prec1,\n",
    "        }, is_best, hparam)\n",
    "    print('Best accuracy: ', best_prec1)\n",
    "    \n",
    "    end_time = time.time()\n",
    "    end_s = (end_time - start_time) % 60\n",
    "    end_h = (end_time - start_time) // 3600\n",
    "    end_m = (end_time - start_time - end_s) % 3600\n",
    "    print(\"[Total Time Elapsed: {:02d}h {:02d}m {:.2f}s]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(train_loader, model, criterion, optimizer, epoch, hparam):\n",
    "    \"\"\"Train for one epoch on the training set\"\"\"\n",
    "    batch_time = AverageMeter()\n",
    "    losses = AverageMeter()\n",
    "    top1 = AverageMeter()\n",
    "    \n",
    "    # Device Mode\n",
    "    device_nums = str(hparam['cuda_device']).strip('[]')\n",
    "    device = torch.device(\"cuda:{}\".format(device_nums)\n",
    "                              if hparam['cuda_device'] else \"cpu\")\n",
    "\n",
    "    # switch to train mode\n",
    "    model.train()\n",
    "\n",
    "    end = time.time()\n",
    "    for i, (input, target) in enumerate(train_loader):\n",
    "        input = input.to(device)\n",
    "        target = target.to(device, non_blocking=True)\n",
    "        input_var = torch.autograd.Variable(input)\n",
    "        target_var = torch.autograd.Variable(target)\n",
    "\n",
    "        # compute output\n",
    "        output = model(input_var)\n",
    "        loss = criterion(output, target_var)\n",
    "\n",
    "        # measure accuracy and record loss\n",
    "        prec1 = accuracy(output.data, target, topk=(1,))[0]\n",
    "        losses.update(loss.data.item(), input.size(0))\n",
    "        top1.update(prec1.item(), input.size(0))\n",
    "\n",
    "        # compute gradient and do SGD step\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        # measure elapsed time\n",
    "        batch_time.update(time.time() - end)\n",
    "        end = time.time()\n",
    "\n",
    "        if i % hparam['print_freq'] == 0:\n",
    "            print('Epoch: [{0}][{1}/{2}]\\t'\n",
    "                  'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\\t'\n",
    "                  'Loss {loss.val:.4f} ({loss.avg:.4f})\\t'\n",
    "                  'Prec@1 {top1.val:.3f} ({top1.avg:.3f})'.format(\n",
    "                      epoch, i, len(train_loader), batch_time=batch_time,\n",
    "                      loss=losses, top1=top1))\n",
    "    # log to TensorBoard\n",
    "    if hparam['tensorboard']:\n",
    "        log_value('train_loss', losses.avg, epoch)\n",
    "        log_value('train_acc', top1.avg, epoch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def validate(val_loader, model, criterion, epoch, hparam):\n",
    "    \"\"\"Perform validation on the validation set\"\"\"\n",
    "    batch_time = AverageMeter()\n",
    "    losses = AverageMeter()\n",
    "    top1 = AverageMeter()\n",
    "    \n",
    "    # Device Mode\n",
    "    device_nums = str(hparam['cuda_device']).strip('[]')\n",
    "    device = torch.device(\"cuda:{}\".format(device_nums)\n",
    "                              if hparam['cuda_device'] else \"cpu\")\n",
    "\n",
    "    # switch to evaluate mode\n",
    "    model.eval()\n",
    "\n",
    "    end = time.time()\n",
    "    for i, (input, target) in enumerate(val_loader):\n",
    "        input = input.to(device)\n",
    "        target = target.to(device, non_blocking=True)\n",
    "        input_var = torch.autograd.Variable(input)\n",
    "        target_var = torch.autograd.Variable(target)\n",
    "\n",
    "        # compute output\n",
    "        with torch.no_grad():\n",
    "            output = model(input_var)\n",
    "        loss = criterion(output, target_var)\n",
    "\n",
    "        # measure accuracy and record loss\n",
    "        prec1 = accuracy(output.data, target, topk=(1,))[0]\n",
    "        losses.update(loss.data.item(), input.size(0))\n",
    "        top1.update(prec1.item(), input.size(0))\n",
    "\n",
    "        # measure elapsed time\n",
    "        batch_time.update(time.time() - end)\n",
    "        end = time.time()\n",
    "\n",
    "        if i % hparam['print_freq'] == 0:\n",
    "            print('Test: [{0}/{1}]\\t'\n",
    "                  'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\\t'\n",
    "                  'Loss {loss.val:.4f} ({loss.avg:.4f})\\t'\n",
    "                  'Prec@1 {top1.val:.3f} ({top1.avg:.3f})'.format(\n",
    "                      i, len(val_loader), batch_time=batch_time, loss=losses,\n",
    "                      top1=top1))\n",
    "\n",
    "    print(' * Prec@1 {top1.avg:.3f}'.format(top1=top1))\n",
    "    # log to TensorBoard\n",
    "    if hparam['tensorboard']:\n",
    "        log_value('val_loss', losses.avg, epoch)\n",
    "        log_value('val_acc', top1.avg, epoch)\n",
    "    return top1.avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_checkpoint(state, is_best, hparam, filename='checkpoint.pth.tar'):\n",
    "    \"\"\"Saves checkpoint to disk\"\"\"\n",
    "    directory = \"runs/{}/\".format(hparam['name'])\n",
    "    if not os.path.exists(directory):\n",
    "        os.makedirs(directory)\n",
    "    filename = directory + filename\n",
    "    torch.save(state, filename)\n",
    "    if is_best:\n",
    "        shutil.copyfile(filename, 'runs/%s/'%(hparam['name']) + 'model_best.pth.tar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AverageMeter(object):\n",
    "    \"\"\"Computes and stores the average and current value\"\"\"\n",
    "    def __init__(self):\n",
    "        self.reset()\n",
    "\n",
    "    def reset(self):\n",
    "        self.val = 0\n",
    "        self.avg = 0\n",
    "        self.sum = 0\n",
    "        self.count = 0\n",
    "\n",
    "    def update(self, val, n=1):\n",
    "        self.val = val\n",
    "        self.sum += val * n\n",
    "        self.count += n\n",
    "        self.avg = self.sum / self.count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def adjust_learning_rate(optimizer, epoch, hparam):\n",
    "    \"\"\"Sets the learning rate to the initial LR divided by 10 at 150th and 225th epochs\"\"\"\n",
    "    learning_rate = hparam['lr'] * ((0.2 ** int(epoch >= 60)) * (0.2 ** int(epoch >= 120))* (0.2 ** int(epoch >= 160)))\n",
    "    # log to TensorBoard\n",
    "    if hparam['tensorboard']:\n",
    "        log_value('learning_rate', learning_rate, epoch)\n",
    "    for param_group in optimizer.param_groups:\n",
    "        param_group['lr'] = learning_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def accuracy(output, target, topk=(1,)):\n",
    "    \"\"\"Computes the precision@k for the specified values of k\"\"\"\n",
    "    maxk = max(topk)\n",
    "    batch_size = target.size(0)\n",
    "\n",
    "    _, pred = output.topk(maxk, 1, True, True)\n",
    "    pred = pred.t()\n",
    "    correct = pred.eq(target.view(1, -1).expand_as(pred))\n",
    "\n",
    "    res = []\n",
    "    for k in topk:\n",
    "        correct_k = correct[:k].view(-1).float().sum(0)\n",
    "        res.append(correct_k.mul_(100.0 / batch_size))\n",
    "    return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current CPU Random Seed: 52\n",
      "Current GPU Random Seed: 52\n",
      "Test Data: torch.Size([40000, 28, 28])\n",
      "Train Data: torch.Size([30000, 28, 28])\n",
      "(Rearranged)Train: 30000\t Test: 40000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jwserver/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:113: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "===> Training on Single-GPU!\n",
      "Number of model parameters: 47751450\n",
      "Epoch: [0][0/118]\tTime 8.145 (8.145)\tLoss 2.4773 (2.4773)\tPrec@1 5.078 (5.078)\n",
      "Epoch: [0][10/118]\tTime 0.603 (1.259)\tLoss 0.9709 (1.3923)\tPrec@1 61.328 (50.426)\n",
      "Epoch: [0][20/118]\tTime 0.605 (0.946)\tLoss 0.7255 (1.1566)\tPrec@1 75.000 (58.687)\n",
      "Epoch: [0][30/118]\tTime 0.602 (0.835)\tLoss 0.6263 (0.9955)\tPrec@1 76.172 (63.672)\n",
      "Epoch: [0][40/118]\tTime 0.607 (0.779)\tLoss 0.5184 (0.8812)\tPrec@1 80.078 (67.502)\n",
      "Epoch: [0][50/118]\tTime 0.600 (0.745)\tLoss 0.5207 (0.8067)\tPrec@1 80.469 (70.328)\n",
      "Epoch: [0][60/118]\tTime 0.605 (0.722)\tLoss 0.4003 (0.7588)\tPrec@1 84.375 (72.003)\n",
      "Epoch: [0][70/118]\tTime 0.607 (0.706)\tLoss 0.4074 (0.7179)\tPrec@1 82.812 (73.509)\n",
      "Epoch: [0][80/118]\tTime 0.609 (0.694)\tLoss 0.3543 (0.6844)\tPrec@1 85.547 (74.778)\n",
      "Epoch: [0][90/118]\tTime 0.607 (0.684)\tLoss 0.4370 (0.6579)\tPrec@1 82.812 (75.687)\n",
      "Epoch: [0][100/118]\tTime 0.610 (0.677)\tLoss 0.4877 (0.6376)\tPrec@1 81.250 (76.504)\n",
      "Epoch: [0][110/118]\tTime 0.611 (0.671)\tLoss 0.3691 (0.6129)\tPrec@1 87.891 (77.428)\n",
      "Test: [0/157]\tTime 0.366 (0.366)\tLoss 0.5293 (0.5293)\tPrec@1 79.688 (79.688)\n",
      "Test: [10/157]\tTime 0.182 (0.198)\tLoss 0.7076 (0.6125)\tPrec@1 71.875 (75.959)\n",
      "Test: [20/157]\tTime 0.183 (0.190)\tLoss 0.4951 (0.6091)\tPrec@1 80.469 (76.246)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.6072 (0.6005)\tPrec@1 76.953 (76.588)\n",
      "Test: [40/157]\tTime 0.183 (0.186)\tLoss 0.5554 (0.6066)\tPrec@1 75.781 (76.077)\n",
      "Test: [50/157]\tTime 0.182 (0.185)\tLoss 0.6015 (0.6037)\tPrec@1 79.688 (76.233)\n",
      "Test: [60/157]\tTime 0.181 (0.185)\tLoss 0.6267 (0.6019)\tPrec@1 75.391 (76.197)\n",
      "Test: [70/157]\tTime 0.182 (0.184)\tLoss 0.5906 (0.6033)\tPrec@1 74.609 (76.100)\n",
      "Test: [80/157]\tTime 0.181 (0.184)\tLoss 0.5791 (0.6008)\tPrec@1 77.734 (76.133)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.5750 (0.6013)\tPrec@1 77.734 (76.116)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.5885 (0.6025)\tPrec@1 74.219 (76.056)\n",
      "Test: [110/157]\tTime 0.182 (0.183)\tLoss 0.5539 (0.6011)\tPrec@1 77.734 (76.073)\n",
      "Test: [120/157]\tTime 0.183 (0.183)\tLoss 0.7087 (0.6020)\tPrec@1 70.703 (76.033)\n",
      "Test: [130/157]\tTime 0.181 (0.183)\tLoss 0.5803 (0.5989)\tPrec@1 78.516 (76.187)\n",
      "Test: [140/157]\tTime 0.183 (0.183)\tLoss 0.7023 (0.5976)\tPrec@1 73.438 (76.297)\n",
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.6629 (0.5965)\tPrec@1 72.656 (76.353)\n",
      " * Prec@1 76.370\n",
      "Epoch: [1][0/118]\tTime 0.835 (0.835)\tLoss 0.4043 (0.4043)\tPrec@1 85.547 (85.547)\n",
      "Epoch: [1][10/118]\tTime 0.614 (0.596)\tLoss 0.3063 (0.3430)\tPrec@1 89.844 (87.464)\n",
      "Epoch: [1][20/118]\tTime 0.610 (0.603)\tLoss 0.4685 (0.3459)\tPrec@1 82.422 (87.277)\n",
      "Epoch: [1][30/118]\tTime 0.608 (0.606)\tLoss 0.3252 (0.3539)\tPrec@1 87.891 (87.021)\n",
      "Epoch: [1][40/118]\tTime 0.608 (0.608)\tLoss 0.3785 (0.3499)\tPrec@1 86.328 (87.119)\n",
      "Epoch: [1][50/118]\tTime 0.612 (0.609)\tLoss 0.3095 (0.3371)\tPrec@1 89.062 (87.416)\n",
      "Epoch: [1][60/118]\tTime 0.611 (0.609)\tLoss 0.3406 (0.3308)\tPrec@1 87.109 (87.711)\n",
      "Epoch: [1][70/118]\tTime 0.603 (0.610)\tLoss 0.3877 (0.3281)\tPrec@1 87.500 (87.781)\n",
      "Epoch: [1][80/118]\tTime 0.610 (0.610)\tLoss 0.2428 (0.3259)\tPrec@1 89.844 (87.828)\n",
      "Epoch: [1][90/118]\tTime 0.613 (0.610)\tLoss 0.2719 (0.3216)\tPrec@1 89.062 (87.968)\n",
      "Epoch: [1][100/118]\tTime 0.611 (0.610)\tLoss 0.3431 (0.3196)\tPrec@1 87.500 (88.011)\n",
      "Epoch: [1][110/118]\tTime 0.611 (0.610)\tLoss 0.2827 (0.3191)\tPrec@1 90.234 (88.070)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.4580 (0.4580)\tPrec@1 82.812 (82.812)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.3712 (0.3973)\tPrec@1 87.109 (85.334)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.4584 (0.3842)\tPrec@1 83.203 (85.454)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3345 (0.3895)\tPrec@1 87.109 (85.307)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.3713 (0.3848)\tPrec@1 87.109 (85.585)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.4123 (0.3836)\tPrec@1 82.422 (85.493)\n",
      "Test: [60/157]\tTime 0.181 (0.185)\tLoss 0.3884 (0.3854)\tPrec@1 83.203 (85.368)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3770 (0.3845)\tPrec@1 83.594 (85.393)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4627 (0.3916)\tPrec@1 82.812 (85.214)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.4209 (0.3940)\tPrec@1 83.594 (85.105)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3168 (0.3935)\tPrec@1 86.719 (85.102)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3113 (0.3909)\tPrec@1 87.891 (85.216)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.4056 (0.3895)\tPrec@1 82.422 (85.243)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4872 (0.3917)\tPrec@1 79.297 (85.177)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4521 (0.3921)\tPrec@1 83.203 (85.162)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3491 (0.3924)\tPrec@1 86.328 (85.159)\n",
      " * Prec@1 85.050\n",
      "Epoch: [2][0/118]\tTime 0.345 (0.345)\tLoss 0.3924 (0.3924)\tPrec@1 84.766 (84.766)\n",
      "Epoch: [2][10/118]\tTime 0.609 (0.587)\tLoss 0.2843 (0.2810)\tPrec@1 89.844 (89.595)\n",
      "Epoch: [2][20/118]\tTime 0.615 (0.600)\tLoss 0.2389 (0.2742)\tPrec@1 90.625 (89.676)\n",
      "Epoch: [2][30/118]\tTime 0.608 (0.604)\tLoss 0.2543 (0.2603)\tPrec@1 88.672 (90.071)\n",
      "Epoch: [2][40/118]\tTime 0.615 (0.606)\tLoss 0.2010 (0.2581)\tPrec@1 92.578 (90.292)\n",
      "Epoch: [2][50/118]\tTime 0.621 (0.608)\tLoss 0.1804 (0.2543)\tPrec@1 92.969 (90.533)\n",
      "Epoch: [2][60/118]\tTime 0.614 (0.609)\tLoss 0.1998 (0.2540)\tPrec@1 92.578 (90.580)\n",
      "Epoch: [2][70/118]\tTime 0.614 (0.610)\tLoss 0.2721 (0.2530)\tPrec@1 92.188 (90.603)\n",
      "Epoch: [2][80/118]\tTime 0.614 (0.610)\tLoss 0.3674 (0.2521)\tPrec@1 84.766 (90.635)\n",
      "Epoch: [2][90/118]\tTime 0.613 (0.611)\tLoss 0.2293 (0.2474)\tPrec@1 92.188 (90.870)\n",
      "Epoch: [2][100/118]\tTime 0.616 (0.611)\tLoss 0.1869 (0.2448)\tPrec@1 93.359 (90.934)\n",
      "Epoch: [2][110/118]\tTime 0.610 (0.612)\tLoss 0.2116 (0.2443)\tPrec@1 91.797 (90.942)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.3278 (0.3278)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2402 (0.3151)\tPrec@1 90.625 (89.347)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2614 (0.3083)\tPrec@1 87.891 (89.174)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2674 (0.2963)\tPrec@1 89.453 (89.529)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2620 (0.3079)\tPrec@1 89.844 (89.043)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.3316 (0.3094)\tPrec@1 88.672 (89.017)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3100 (0.3043)\tPrec@1 90.625 (89.223)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2833 (0.3019)\tPrec@1 89.453 (89.332)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3056 (0.3009)\tPrec@1 89.453 (89.371)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2169 (0.2998)\tPrec@1 92.188 (89.376)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2555 (0.3006)\tPrec@1 90.234 (89.322)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2546 (0.3019)\tPrec@1 92.578 (89.291)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.3165 (0.3027)\tPrec@1 88.672 (89.253)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2728 (0.3011)\tPrec@1 92.578 (89.301)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3046 (0.3009)\tPrec@1 87.891 (89.306)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2692 (0.3011)\tPrec@1 89.453 (89.282)\n",
      " * Prec@1 89.317\n",
      "Epoch: [3][0/118]\tTime 0.344 (0.344)\tLoss 0.1679 (0.1679)\tPrec@1 94.531 (94.531)\n",
      "Epoch: [3][10/118]\tTime 0.612 (0.589)\tLoss 0.1939 (0.2034)\tPrec@1 91.797 (92.330)\n",
      "Epoch: [3][20/118]\tTime 0.617 (0.601)\tLoss 0.2396 (0.1990)\tPrec@1 89.062 (92.634)\n",
      "Epoch: [3][30/118]\tTime 0.616 (0.606)\tLoss 0.2072 (0.1964)\tPrec@1 92.578 (92.729)\n",
      "Epoch: [3][40/118]\tTime 0.620 (0.608)\tLoss 0.1767 (0.1969)\tPrec@1 92.188 (92.721)\n",
      "Epoch: [3][50/118]\tTime 0.616 (0.609)\tLoss 0.2569 (0.1967)\tPrec@1 90.234 (92.770)\n",
      "Epoch: [3][60/118]\tTime 0.613 (0.610)\tLoss 0.2406 (0.2000)\tPrec@1 91.406 (92.629)\n",
      "Epoch: [3][70/118]\tTime 0.612 (0.610)\tLoss 0.2204 (0.1987)\tPrec@1 94.141 (92.672)\n",
      "Epoch: [3][80/118]\tTime 0.611 (0.611)\tLoss 0.2406 (0.1998)\tPrec@1 91.406 (92.626)\n",
      "Epoch: [3][90/118]\tTime 0.617 (0.611)\tLoss 0.2104 (0.2022)\tPrec@1 92.188 (92.488)\n",
      "Epoch: [3][100/118]\tTime 0.614 (0.611)\tLoss 0.2645 (0.2037)\tPrec@1 89.844 (92.466)\n",
      "Epoch: [3][110/118]\tTime 0.610 (0.612)\tLoss 0.2296 (0.2038)\tPrec@1 90.625 (92.420)\n",
      "Test: [0/157]\tTime 0.373 (0.373)\tLoss 0.6066 (0.6066)\tPrec@1 79.297 (79.297)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.4948 (0.5352)\tPrec@1 82.031 (81.712)\n",
      "Test: [20/157]\tTime 0.182 (0.191)\tLoss 0.6397 (0.5399)\tPrec@1 80.469 (81.827)\n",
      "Test: [30/157]\tTime 0.183 (0.188)\tLoss 0.5227 (0.5414)\tPrec@1 79.297 (81.741)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4169 (0.5356)\tPrec@1 85.547 (81.907)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3885 (0.5356)\tPrec@1 85.547 (81.970)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4618 (0.5274)\tPrec@1 81.250 (82.140)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4470 (0.5272)\tPrec@1 85.938 (82.185)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.4305 (0.5210)\tPrec@1 86.719 (82.412)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.5344 (0.5227)\tPrec@1 80.469 (82.319)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.5482 (0.5254)\tPrec@1 80.469 (82.225)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.5409 (0.5293)\tPrec@1 80.859 (82.112)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.6252 (0.5271)\tPrec@1 79.688 (82.189)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.5615 (0.5287)\tPrec@1 80.859 (82.097)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.5279 (0.5300)\tPrec@1 81.641 (82.009)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4512 (0.5289)\tPrec@1 83.984 (81.995)\n",
      " * Prec@1 82.022\n",
      "Epoch: [4][0/118]\tTime 0.335 (0.335)\tLoss 0.2290 (0.2290)\tPrec@1 91.406 (91.406)\n",
      "Epoch: [4][10/118]\tTime 0.614 (0.590)\tLoss 0.1462 (0.2018)\tPrec@1 93.359 (92.507)\n",
      "Epoch: [4][20/118]\tTime 0.618 (0.602)\tLoss 0.1488 (0.1941)\tPrec@1 94.531 (92.578)\n",
      "Epoch: [4][30/118]\tTime 0.613 (0.606)\tLoss 0.2303 (0.1953)\tPrec@1 92.188 (92.603)\n",
      "Epoch: [4][40/118]\tTime 0.613 (0.608)\tLoss 0.2228 (0.1923)\tPrec@1 91.406 (92.769)\n",
      "Epoch: [4][50/118]\tTime 0.620 (0.609)\tLoss 0.1535 (0.1920)\tPrec@1 94.531 (92.816)\n",
      "Epoch: [4][60/118]\tTime 0.611 (0.610)\tLoss 0.1953 (0.1898)\tPrec@1 91.406 (92.886)\n",
      "Epoch: [4][70/118]\tTime 0.617 (0.611)\tLoss 0.2213 (0.1890)\tPrec@1 92.188 (92.980)\n",
      "Epoch: [4][80/118]\tTime 0.615 (0.612)\tLoss 0.1625 (0.1873)\tPrec@1 94.531 (93.041)\n",
      "Epoch: [4][90/118]\tTime 0.616 (0.612)\tLoss 0.1662 (0.1863)\tPrec@1 93.750 (93.106)\n",
      "Epoch: [4][100/118]\tTime 0.615 (0.612)\tLoss 0.2241 (0.1861)\tPrec@1 91.797 (93.081)\n",
      "Epoch: [4][110/118]\tTime 0.616 (0.613)\tLoss 0.1767 (0.1856)\tPrec@1 93.750 (93.092)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.3292 (0.3292)\tPrec@1 86.719 (86.719)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2393 (0.3140)\tPrec@1 91.406 (89.027)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4215 (0.3234)\tPrec@1 84.766 (88.393)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3549 (0.3291)\tPrec@1 87.891 (88.294)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4448 (0.3267)\tPrec@1 87.891 (88.377)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2733 (0.3230)\tPrec@1 92.188 (88.580)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2889 (0.3203)\tPrec@1 87.891 (88.550)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.3261 (0.3200)\tPrec@1 88.672 (88.490)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2414 (0.3172)\tPrec@1 91.797 (88.614)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2298 (0.3168)\tPrec@1 91.406 (88.663)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3688 (0.3210)\tPrec@1 88.672 (88.513)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4241 (0.3244)\tPrec@1 85.547 (88.468)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3161 (0.3228)\tPrec@1 88.281 (88.507)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3077 (0.3247)\tPrec@1 88.672 (88.436)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4104 (0.3238)\tPrec@1 83.984 (88.492)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3065 (0.3243)\tPrec@1 89.453 (88.457)\n",
      " * Prec@1 88.453\n",
      "Epoch: [5][0/118]\tTime 0.344 (0.344)\tLoss 0.1307 (0.1307)\tPrec@1 95.703 (95.703)\n",
      "Epoch: [5][10/118]\tTime 0.615 (0.590)\tLoss 0.1821 (0.1937)\tPrec@1 92.578 (92.969)\n",
      "Epoch: [5][20/118]\tTime 0.616 (0.602)\tLoss 0.1698 (0.1760)\tPrec@1 92.969 (93.657)\n",
      "Epoch: [5][30/118]\tTime 0.617 (0.606)\tLoss 0.1345 (0.1709)\tPrec@1 94.141 (93.775)\n",
      "Epoch: [5][40/118]\tTime 0.612 (0.608)\tLoss 0.0965 (0.1653)\tPrec@1 96.875 (94.064)\n",
      "Epoch: [5][50/118]\tTime 0.616 (0.609)\tLoss 0.2005 (0.1631)\tPrec@1 92.969 (94.141)\n",
      "Epoch: [5][60/118]\tTime 0.615 (0.610)\tLoss 0.1682 (0.1614)\tPrec@1 94.922 (94.249)\n",
      "Epoch: [5][70/118]\tTime 0.616 (0.611)\tLoss 0.1469 (0.1612)\tPrec@1 94.141 (94.245)\n",
      "Epoch: [5][80/118]\tTime 0.617 (0.611)\tLoss 0.2015 (0.1631)\tPrec@1 93.359 (94.145)\n",
      "Epoch: [5][90/118]\tTime 0.617 (0.611)\tLoss 0.2127 (0.1635)\tPrec@1 92.188 (94.076)\n",
      "Epoch: [5][100/118]\tTime 0.616 (0.612)\tLoss 0.1302 (0.1632)\tPrec@1 94.922 (94.094)\n",
      "Epoch: [5][110/118]\tTime 0.617 (0.612)\tLoss 0.2032 (0.1632)\tPrec@1 92.578 (94.088)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.2005 (0.2005)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2677 (0.2688)\tPrec@1 92.188 (90.589)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.1760 (0.2568)\tPrec@1 93.750 (91.127)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3133 (0.2608)\tPrec@1 89.062 (90.927)\n",
      "Test: [40/157]\tTime 0.184 (0.187)\tLoss 0.2835 (0.2608)\tPrec@1 88.672 (90.901)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3004 (0.2624)\tPrec@1 90.625 (90.916)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2474 (0.2595)\tPrec@1 90.234 (90.952)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.2382 (0.2595)\tPrec@1 92.969 (90.906)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2251 (0.2596)\tPrec@1 92.188 (90.900)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2324 (0.2571)\tPrec@1 91.406 (90.998)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2694 (0.2584)\tPrec@1 90.625 (91.012)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.1569 (0.2565)\tPrec@1 94.531 (91.026)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2785 (0.2559)\tPrec@1 89.844 (91.035)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3081 (0.2549)\tPrec@1 87.891 (91.075)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.2022 (0.2539)\tPrec@1 93.750 (91.118)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2423 (0.2540)\tPrec@1 90.234 (91.067)\n",
      " * Prec@1 91.070\n",
      "Epoch: [6][0/118]\tTime 0.350 (0.350)\tLoss 0.1026 (0.1026)\tPrec@1 96.484 (96.484)\n",
      "Epoch: [6][10/118]\tTime 0.619 (0.590)\tLoss 0.1377 (0.1173)\tPrec@1 94.922 (95.810)\n",
      "Epoch: [6][20/118]\tTime 0.615 (0.601)\tLoss 0.0871 (0.1114)\tPrec@1 96.875 (95.889)\n",
      "Epoch: [6][30/118]\tTime 0.607 (0.605)\tLoss 0.1056 (0.1073)\tPrec@1 95.703 (95.905)\n",
      "Epoch: [6][40/118]\tTime 0.615 (0.607)\tLoss 0.1512 (0.1101)\tPrec@1 94.922 (95.875)\n",
      "Epoch: [6][50/118]\tTime 0.611 (0.608)\tLoss 0.1104 (0.1130)\tPrec@1 96.484 (95.749)\n",
      "Epoch: [6][60/118]\tTime 0.612 (0.609)\tLoss 0.1812 (0.1143)\tPrec@1 95.312 (95.754)\n",
      "Epoch: [6][70/118]\tTime 0.614 (0.610)\tLoss 0.1624 (0.1200)\tPrec@1 95.703 (95.604)\n",
      "Epoch: [6][80/118]\tTime 0.618 (0.610)\tLoss 0.1921 (0.1244)\tPrec@1 92.969 (95.423)\n",
      "Epoch: [6][90/118]\tTime 0.612 (0.611)\tLoss 0.1855 (0.1270)\tPrec@1 92.969 (95.300)\n",
      "Epoch: [6][100/118]\tTime 0.614 (0.611)\tLoss 0.1598 (0.1310)\tPrec@1 96.094 (95.212)\n",
      "Epoch: [6][110/118]\tTime 0.616 (0.611)\tLoss 0.1358 (0.1331)\tPrec@1 94.922 (95.158)\n",
      "Test: [0/157]\tTime 0.386 (0.386)\tLoss 0.1990 (0.1990)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2532 (0.2922)\tPrec@1 92.188 (91.122)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2156 (0.2919)\tPrec@1 91.797 (90.960)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3423 (0.3029)\tPrec@1 88.672 (90.486)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2438 (0.2965)\tPrec@1 94.141 (90.644)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2645 (0.3000)\tPrec@1 92.188 (90.487)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3122 (0.3023)\tPrec@1 88.672 (90.375)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3505 (0.3020)\tPrec@1 89.453 (90.289)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.1808 (0.3018)\tPrec@1 94.922 (90.234)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3334 (0.3011)\tPrec@1 87.500 (90.230)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2592 (0.3012)\tPrec@1 89.453 (90.188)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2453 (0.3018)\tPrec@1 92.578 (90.146)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2705 (0.3006)\tPrec@1 89.453 (90.157)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2720 (0.3002)\tPrec@1 89.453 (90.157)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3567 (0.3017)\tPrec@1 88.281 (90.082)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2465 (0.3027)\tPrec@1 90.625 (90.056)\n",
      " * Prec@1 90.078\n",
      "Epoch: [7][0/118]\tTime 0.344 (0.344)\tLoss 0.0720 (0.0720)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [7][10/118]\tTime 0.611 (0.590)\tLoss 0.0811 (0.1008)\tPrec@1 97.266 (96.982)\n",
      "Epoch: [7][20/118]\tTime 0.615 (0.602)\tLoss 0.1497 (0.1148)\tPrec@1 94.531 (96.298)\n",
      "Epoch: [7][30/118]\tTime 0.617 (0.606)\tLoss 0.0683 (0.1093)\tPrec@1 97.656 (96.346)\n",
      "Epoch: [7][40/118]\tTime 0.611 (0.608)\tLoss 0.0488 (0.1046)\tPrec@1 98.438 (96.399)\n",
      "Epoch: [7][50/118]\tTime 0.617 (0.610)\tLoss 0.1328 (0.1039)\tPrec@1 94.922 (96.316)\n",
      "Epoch: [7][60/118]\tTime 0.616 (0.611)\tLoss 0.1882 (0.1048)\tPrec@1 92.578 (96.286)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [7][70/118]\tTime 0.620 (0.611)\tLoss 0.1438 (0.1076)\tPrec@1 96.484 (96.209)\n",
      "Epoch: [7][80/118]\tTime 0.626 (0.612)\tLoss 0.1990 (0.1119)\tPrec@1 91.797 (95.925)\n",
      "Epoch: [7][90/118]\tTime 0.613 (0.612)\tLoss 0.1730 (0.1139)\tPrec@1 93.359 (95.785)\n",
      "Epoch: [7][100/118]\tTime 0.608 (0.612)\tLoss 0.1551 (0.1161)\tPrec@1 94.922 (95.668)\n",
      "Epoch: [7][110/118]\tTime 0.612 (0.612)\tLoss 0.1270 (0.1187)\tPrec@1 94.531 (95.524)\n",
      "Test: [0/157]\tTime 0.395 (0.395)\tLoss 0.3823 (0.3823)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3171 (0.3810)\tPrec@1 89.453 (88.388)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.4363 (0.3750)\tPrec@1 88.672 (88.579)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3706 (0.3783)\tPrec@1 89.062 (88.684)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2699 (0.3728)\tPrec@1 91.016 (88.700)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4538 (0.3773)\tPrec@1 89.062 (88.779)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4584 (0.3736)\tPrec@1 91.016 (88.960)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.4123 (0.3748)\tPrec@1 86.328 (89.007)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2530 (0.3753)\tPrec@1 92.969 (89.038)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3967 (0.3746)\tPrec@1 89.453 (89.015)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3501 (0.3700)\tPrec@1 89.844 (89.035)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4635 (0.3720)\tPrec@1 86.328 (88.992)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4117 (0.3725)\tPrec@1 87.500 (88.972)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3626 (0.3715)\tPrec@1 87.891 (88.961)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3278 (0.3715)\tPrec@1 90.234 (88.988)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3875 (0.3744)\tPrec@1 89.453 (88.998)\n",
      " * Prec@1 88.983\n",
      "Epoch: [8][0/118]\tTime 0.345 (0.345)\tLoss 0.0735 (0.0735)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [8][10/118]\tTime 0.618 (0.590)\tLoss 0.0718 (0.0929)\tPrec@1 98.438 (97.195)\n",
      "Epoch: [8][20/118]\tTime 0.611 (0.602)\tLoss 0.0718 (0.0858)\tPrec@1 97.266 (97.340)\n",
      "Epoch: [8][30/118]\tTime 0.613 (0.606)\tLoss 0.0583 (0.0780)\tPrec@1 98.047 (97.555)\n",
      "Epoch: [8][40/118]\tTime 0.617 (0.608)\tLoss 0.0850 (0.0777)\tPrec@1 96.875 (97.485)\n",
      "Epoch: [8][50/118]\tTime 0.615 (0.609)\tLoss 0.0594 (0.0813)\tPrec@1 97.656 (97.243)\n",
      "Epoch: [8][60/118]\tTime 0.612 (0.610)\tLoss 0.1211 (0.0855)\tPrec@1 95.312 (97.054)\n",
      "Epoch: [8][70/118]\tTime 0.615 (0.611)\tLoss 0.0811 (0.0900)\tPrec@1 95.703 (96.869)\n",
      "Epoch: [8][80/118]\tTime 0.617 (0.612)\tLoss 0.1189 (0.0940)\tPrec@1 96.875 (96.726)\n",
      "Epoch: [8][90/118]\tTime 0.614 (0.612)\tLoss 0.1220 (0.0975)\tPrec@1 94.141 (96.557)\n",
      "Epoch: [8][100/118]\tTime 0.618 (0.612)\tLoss 0.0861 (0.1006)\tPrec@1 96.484 (96.461)\n",
      "Epoch: [8][110/118]\tTime 0.610 (0.612)\tLoss 0.0854 (0.1021)\tPrec@1 95.703 (96.372)\n",
      "Test: [0/157]\tTime 0.410 (0.410)\tLoss 0.4751 (0.4751)\tPrec@1 87.500 (87.500)\n",
      "Test: [10/157]\tTime 0.184 (0.203)\tLoss 0.3307 (0.4195)\tPrec@1 90.625 (88.033)\n",
      "Test: [20/157]\tTime 0.182 (0.194)\tLoss 0.3386 (0.4193)\tPrec@1 89.844 (87.574)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.4327 (0.4119)\tPrec@1 85.938 (87.865)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.4809 (0.4244)\tPrec@1 85.938 (87.224)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.5186 (0.4261)\tPrec@1 86.328 (87.132)\n",
      "Test: [60/157]\tTime 0.183 (0.187)\tLoss 0.4738 (0.4268)\tPrec@1 88.672 (87.090)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2887 (0.4291)\tPrec@1 90.234 (87.021)\n",
      "Test: [80/157]\tTime 0.182 (0.186)\tLoss 0.4376 (0.4292)\tPrec@1 87.109 (86.984)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4817 (0.4288)\tPrec@1 85.156 (87.028)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.4279 (0.4301)\tPrec@1 87.109 (87.001)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4038 (0.4317)\tPrec@1 85.547 (86.884)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.4462 (0.4309)\tPrec@1 86.719 (86.906)\n",
      "Test: [130/157]\tTime 0.183 (0.185)\tLoss 0.3971 (0.4286)\tPrec@1 91.406 (86.960)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3999 (0.4286)\tPrec@1 86.719 (86.968)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.3877 (0.4295)\tPrec@1 86.719 (86.972)\n",
      " * Prec@1 86.985\n",
      "Epoch: [9][0/118]\tTime 0.357 (0.357)\tLoss 0.0768 (0.0768)\tPrec@1 96.875 (96.875)\n",
      "Epoch: [9][10/118]\tTime 0.611 (0.591)\tLoss 0.0780 (0.0882)\tPrec@1 98.438 (96.839)\n",
      "Epoch: [9][20/118]\tTime 0.610 (0.602)\tLoss 0.0842 (0.0850)\tPrec@1 97.656 (97.024)\n",
      "Epoch: [9][30/118]\tTime 0.618 (0.606)\tLoss 0.1071 (0.0813)\tPrec@1 95.312 (97.228)\n",
      "Epoch: [9][40/118]\tTime 0.617 (0.608)\tLoss 0.0830 (0.0761)\tPrec@1 96.094 (97.380)\n",
      "Epoch: [9][50/118]\tTime 0.614 (0.609)\tLoss 0.0342 (0.0740)\tPrec@1 98.828 (97.434)\n",
      "Epoch: [9][60/118]\tTime 0.617 (0.610)\tLoss 0.0783 (0.0741)\tPrec@1 96.875 (97.439)\n",
      "Epoch: [9][70/118]\tTime 0.612 (0.610)\tLoss 0.0842 (0.0745)\tPrec@1 96.094 (97.403)\n",
      "Epoch: [9][80/118]\tTime 0.614 (0.611)\tLoss 0.1037 (0.0765)\tPrec@1 96.875 (97.280)\n",
      "Epoch: [9][90/118]\tTime 0.616 (0.611)\tLoss 0.1189 (0.0786)\tPrec@1 93.750 (97.141)\n",
      "Epoch: [9][100/118]\tTime 0.617 (0.611)\tLoss 0.0878 (0.0798)\tPrec@1 96.875 (97.134)\n",
      "Epoch: [9][110/118]\tTime 0.613 (0.612)\tLoss 0.0846 (0.0813)\tPrec@1 96.094 (97.065)\n",
      "Test: [0/157]\tTime 0.377 (0.377)\tLoss 0.2615 (0.2615)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3954 (0.3381)\tPrec@1 87.891 (89.169)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3677 (0.3441)\tPrec@1 88.672 (89.286)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3016 (0.3473)\tPrec@1 91.016 (89.289)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2981 (0.3471)\tPrec@1 89.453 (89.358)\n",
      "Test: [50/157]\tTime 0.184 (0.186)\tLoss 0.1968 (0.3416)\tPrec@1 93.359 (89.453)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4272 (0.3488)\tPrec@1 88.672 (89.248)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2761 (0.3468)\tPrec@1 92.188 (89.448)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4437 (0.3459)\tPrec@1 88.281 (89.511)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3561 (0.3440)\tPrec@1 87.109 (89.595)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3642 (0.3415)\tPrec@1 89.844 (89.658)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4411 (0.3408)\tPrec@1 88.672 (89.682)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3520 (0.3436)\tPrec@1 87.500 (89.560)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2761 (0.3416)\tPrec@1 90.625 (89.647)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3763 (0.3427)\tPrec@1 87.891 (89.630)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4245 (0.3397)\tPrec@1 87.891 (89.722)\n",
      " * Prec@1 89.718\n",
      "Epoch: [10][0/118]\tTime 0.337 (0.337)\tLoss 0.0503 (0.0503)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [10][10/118]\tTime 0.612 (0.589)\tLoss 0.0592 (0.0811)\tPrec@1 98.438 (97.408)\n",
      "Epoch: [10][20/118]\tTime 0.613 (0.601)\tLoss 0.0564 (0.0801)\tPrec@1 98.047 (97.321)\n",
      "Epoch: [10][30/118]\tTime 0.614 (0.605)\tLoss 0.0842 (0.0777)\tPrec@1 96.484 (97.266)\n",
      "Epoch: [10][40/118]\tTime 0.615 (0.607)\tLoss 0.0888 (0.0762)\tPrec@1 96.875 (97.351)\n",
      "Epoch: [10][50/118]\tTime 0.612 (0.608)\tLoss 0.0748 (0.0795)\tPrec@1 98.047 (97.312)\n",
      "Epoch: [10][60/118]\tTime 0.612 (0.609)\tLoss 0.0403 (0.0770)\tPrec@1 98.828 (97.407)\n",
      "Epoch: [10][70/118]\tTime 0.609 (0.610)\tLoss 0.1167 (0.0778)\tPrec@1 94.531 (97.332)\n",
      "Epoch: [10][80/118]\tTime 0.616 (0.610)\tLoss 0.1236 (0.0782)\tPrec@1 96.484 (97.299)\n",
      "Epoch: [10][90/118]\tTime 0.614 (0.611)\tLoss 0.0783 (0.0804)\tPrec@1 97.266 (97.214)\n",
      "Epoch: [10][100/118]\tTime 0.612 (0.611)\tLoss 0.0393 (0.0816)\tPrec@1 99.219 (97.196)\n",
      "Epoch: [10][110/118]\tTime 0.616 (0.611)\tLoss 0.1031 (0.0840)\tPrec@1 96.484 (97.083)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.4388 (0.4388)\tPrec@1 87.109 (87.109)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.4350 (0.3799)\tPrec@1 87.109 (88.423)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3515 (0.3762)\tPrec@1 91.406 (89.472)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4317 (0.3740)\tPrec@1 87.891 (89.478)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.5183 (0.3795)\tPrec@1 86.328 (89.358)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4334 (0.3785)\tPrec@1 86.328 (89.208)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3927 (0.3756)\tPrec@1 87.500 (89.229)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4703 (0.3789)\tPrec@1 89.062 (89.123)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2582 (0.3741)\tPrec@1 90.234 (89.207)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3296 (0.3698)\tPrec@1 91.797 (89.251)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3292 (0.3709)\tPrec@1 89.844 (89.252)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.5465 (0.3753)\tPrec@1 85.156 (89.129)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2648 (0.3713)\tPrec@1 91.406 (89.208)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3041 (0.3674)\tPrec@1 91.797 (89.310)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3568 (0.3680)\tPrec@1 89.453 (89.328)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3200 (0.3666)\tPrec@1 91.406 (89.326)\n",
      " * Prec@1 89.297\n",
      "Epoch: [11][0/118]\tTime 0.341 (0.341)\tLoss 0.1027 (0.1027)\tPrec@1 96.484 (96.484)\n",
      "Epoch: [11][10/118]\tTime 0.613 (0.589)\tLoss 0.0781 (0.0911)\tPrec@1 96.875 (96.697)\n",
      "Epoch: [11][20/118]\tTime 0.609 (0.601)\tLoss 0.0868 (0.0904)\tPrec@1 97.266 (96.763)\n",
      "Epoch: [11][30/118]\tTime 0.608 (0.605)\tLoss 0.0566 (0.0822)\tPrec@1 98.047 (97.165)\n",
      "Epoch: [11][40/118]\tTime 0.612 (0.608)\tLoss 0.0704 (0.0799)\tPrec@1 96.484 (97.161)\n",
      "Epoch: [11][50/118]\tTime 0.613 (0.609)\tLoss 0.0399 (0.0745)\tPrec@1 98.828 (97.381)\n",
      "Epoch: [11][60/118]\tTime 0.613 (0.610)\tLoss 0.0489 (0.0715)\tPrec@1 98.828 (97.432)\n",
      "Epoch: [11][70/118]\tTime 0.610 (0.610)\tLoss 0.0944 (0.0710)\tPrec@1 97.266 (97.480)\n",
      "Epoch: [11][80/118]\tTime 0.617 (0.611)\tLoss 0.0648 (0.0705)\tPrec@1 97.656 (97.487)\n",
      "Epoch: [11][90/118]\tTime 0.618 (0.611)\tLoss 0.0565 (0.0703)\tPrec@1 98.438 (97.519)\n",
      "Epoch: [11][100/118]\tTime 0.611 (0.611)\tLoss 0.0369 (0.0705)\tPrec@1 99.609 (97.486)\n",
      "Epoch: [11][110/118]\tTime 0.618 (0.612)\tLoss 0.0893 (0.0701)\tPrec@1 96.484 (97.494)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2779 (0.2779)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3916 (0.3405)\tPrec@1 87.891 (89.737)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3311 (0.3600)\tPrec@1 91.016 (89.565)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3559 (0.3640)\tPrec@1 88.672 (89.327)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2800 (0.3612)\tPrec@1 88.672 (89.367)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.3487 (0.3556)\tPrec@1 89.844 (89.507)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3586 (0.3574)\tPrec@1 89.844 (89.524)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.3349 (0.3576)\tPrec@1 88.672 (89.569)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2085 (0.3574)\tPrec@1 92.578 (89.530)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.3769 (0.3616)\tPrec@1 88.281 (89.432)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3092 (0.3583)\tPrec@1 91.016 (89.480)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2976 (0.3570)\tPrec@1 89.844 (89.464)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2992 (0.3550)\tPrec@1 91.016 (89.518)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3032 (0.3521)\tPrec@1 91.016 (89.552)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.5029 (0.3548)\tPrec@1 86.328 (89.511)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3809 (0.3555)\tPrec@1 88.281 (89.497)\n",
      " * Prec@1 89.498\n",
      "Epoch: [12][0/118]\tTime 0.349 (0.349)\tLoss 0.0606 (0.0606)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [12][10/118]\tTime 0.613 (0.590)\tLoss 0.0624 (0.0575)\tPrec@1 97.266 (98.224)\n",
      "Epoch: [12][20/118]\tTime 0.615 (0.602)\tLoss 0.0690 (0.0530)\tPrec@1 98.047 (98.307)\n",
      "Epoch: [12][30/118]\tTime 0.614 (0.606)\tLoss 0.0458 (0.0522)\tPrec@1 98.047 (98.248)\n",
      "Epoch: [12][40/118]\tTime 0.614 (0.608)\tLoss 0.0501 (0.0522)\tPrec@1 98.828 (98.266)\n",
      "Epoch: [12][50/118]\tTime 0.619 (0.609)\tLoss 0.0468 (0.0521)\tPrec@1 98.047 (98.238)\n",
      "Epoch: [12][60/118]\tTime 0.614 (0.610)\tLoss 0.0380 (0.0511)\tPrec@1 99.219 (98.252)\n",
      "Epoch: [12][70/118]\tTime 0.618 (0.611)\tLoss 0.0467 (0.0499)\tPrec@1 97.656 (98.289)\n",
      "Epoch: [12][80/118]\tTime 0.609 (0.611)\tLoss 0.0559 (0.0516)\tPrec@1 98.828 (98.259)\n",
      "Epoch: [12][90/118]\tTime 0.616 (0.612)\tLoss 0.0549 (0.0530)\tPrec@1 97.656 (98.180)\n",
      "Epoch: [12][100/118]\tTime 0.616 (0.612)\tLoss 0.0493 (0.0527)\tPrec@1 98.047 (98.182)\n",
      "Epoch: [12][110/118]\tTime 0.619 (0.612)\tLoss 0.0420 (0.0541)\tPrec@1 98.438 (98.114)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.3797 (0.3797)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2592 (0.3911)\tPrec@1 91.797 (88.956)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3683 (0.3970)\tPrec@1 88.672 (88.318)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.4357 (0.3851)\tPrec@1 87.500 (88.785)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2450 (0.3817)\tPrec@1 92.969 (89.015)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.4393 (0.3883)\tPrec@1 86.328 (88.840)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.2810 (0.3873)\tPrec@1 90.234 (88.762)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4399 (0.3849)\tPrec@1 87.109 (88.798)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.3853 (0.3872)\tPrec@1 86.719 (88.759)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4000 (0.3882)\tPrec@1 89.453 (88.680)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.4011 (0.3860)\tPrec@1 87.891 (88.680)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2708 (0.3838)\tPrec@1 92.188 (88.728)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.4030 (0.3844)\tPrec@1 89.844 (88.749)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4557 (0.3837)\tPrec@1 89.453 (88.797)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3570 (0.3862)\tPrec@1 89.453 (88.744)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4612 (0.3843)\tPrec@1 87.109 (88.747)\n",
      " * Prec@1 88.733\n",
      "Epoch: [13][0/118]\tTime 0.343 (0.343)\tLoss 0.0626 (0.0626)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [13][10/118]\tTime 0.613 (0.589)\tLoss 0.0831 (0.0603)\tPrec@1 97.266 (97.940)\n",
      "Epoch: [13][20/118]\tTime 0.618 (0.602)\tLoss 0.0635 (0.0608)\tPrec@1 96.094 (97.972)\n",
      "Epoch: [13][30/118]\tTime 0.612 (0.605)\tLoss 0.0493 (0.0641)\tPrec@1 98.047 (97.921)\n",
      "Epoch: [13][40/118]\tTime 0.613 (0.607)\tLoss 0.0500 (0.0635)\tPrec@1 98.047 (97.952)\n",
      "Epoch: [13][50/118]\tTime 0.618 (0.609)\tLoss 0.0243 (0.0622)\tPrec@1 99.219 (97.863)\n",
      "Epoch: [13][60/118]\tTime 0.614 (0.610)\tLoss 0.0301 (0.0600)\tPrec@1 99.219 (97.976)\n",
      "Epoch: [13][70/118]\tTime 0.612 (0.610)\tLoss 0.0517 (0.0607)\tPrec@1 98.438 (97.876)\n",
      "Epoch: [13][80/118]\tTime 0.613 (0.611)\tLoss 0.0527 (0.0604)\tPrec@1 97.266 (97.854)\n",
      "Epoch: [13][90/118]\tTime 0.613 (0.611)\tLoss 0.0351 (0.0596)\tPrec@1 98.438 (97.897)\n",
      "Epoch: [13][100/118]\tTime 0.610 (0.611)\tLoss 0.1329 (0.0590)\tPrec@1 95.312 (97.919)\n",
      "Epoch: [13][110/118]\tTime 0.613 (0.611)\tLoss 0.0525 (0.0594)\tPrec@1 97.656 (97.885)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.4420 (0.4420)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.4026 (0.3707)\tPrec@1 90.625 (89.666)\n",
      "Test: [20/157]\tTime 0.184 (0.192)\tLoss 0.2575 (0.3523)\tPrec@1 92.578 (90.160)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2499 (0.3496)\tPrec@1 92.578 (90.398)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3941 (0.3573)\tPrec@1 88.281 (90.263)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4151 (0.3570)\tPrec@1 89.453 (90.150)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2934 (0.3583)\tPrec@1 91.406 (90.049)\n",
      "Test: [70/157]\tTime 0.184 (0.185)\tLoss 0.2030 (0.3513)\tPrec@1 92.969 (90.245)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3655 (0.3525)\tPrec@1 89.844 (90.297)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.3056 (0.3540)\tPrec@1 91.797 (90.217)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3294 (0.3544)\tPrec@1 91.406 (90.231)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4743 (0.3569)\tPrec@1 87.109 (90.129)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4605 (0.3593)\tPrec@1 87.109 (90.099)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3465 (0.3571)\tPrec@1 89.453 (90.082)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4935 (0.3577)\tPrec@1 87.891 (90.112)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3106 (0.3577)\tPrec@1 89.844 (90.108)\n",
      " * Prec@1 90.103\n",
      "Epoch: [14][0/118]\tTime 0.351 (0.351)\tLoss 0.0403 (0.0403)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [14][10/118]\tTime 0.614 (0.590)\tLoss 0.0399 (0.0536)\tPrec@1 98.828 (98.082)\n",
      "Epoch: [14][20/118]\tTime 0.615 (0.601)\tLoss 0.0369 (0.0531)\tPrec@1 98.828 (98.177)\n",
      "Epoch: [14][30/118]\tTime 0.615 (0.605)\tLoss 0.0401 (0.0496)\tPrec@1 98.438 (98.349)\n",
      "Epoch: [14][40/118]\tTime 0.614 (0.608)\tLoss 0.0629 (0.0487)\tPrec@1 98.047 (98.361)\n",
      "Epoch: [14][50/118]\tTime 0.614 (0.609)\tLoss 0.0644 (0.0485)\tPrec@1 97.656 (98.346)\n",
      "Epoch: [14][60/118]\tTime 0.610 (0.610)\tLoss 0.0478 (0.0495)\tPrec@1 98.047 (98.290)\n",
      "Epoch: [14][70/118]\tTime 0.613 (0.610)\tLoss 0.0432 (0.0479)\tPrec@1 97.656 (98.344)\n",
      "Epoch: [14][80/118]\tTime 0.615 (0.611)\tLoss 0.0547 (0.0487)\tPrec@1 97.656 (98.298)\n",
      "Epoch: [14][90/118]\tTime 0.613 (0.611)\tLoss 0.0439 (0.0504)\tPrec@1 98.438 (98.262)\n",
      "Epoch: [14][100/118]\tTime 0.613 (0.611)\tLoss 0.0637 (0.0506)\tPrec@1 97.266 (98.221)\n",
      "Epoch: [14][110/118]\tTime 0.613 (0.612)\tLoss 0.0898 (0.0525)\tPrec@1 96.484 (98.121)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.2592 (0.2592)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3731 (0.3053)\tPrec@1 88.281 (91.655)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3001 (0.3008)\tPrec@1 93.359 (91.890)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.3681 (0.3094)\tPrec@1 89.062 (91.331)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3237 (0.3093)\tPrec@1 92.578 (91.301)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3218 (0.3073)\tPrec@1 92.969 (91.468)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4226 (0.3167)\tPrec@1 89.062 (91.329)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3502 (0.3160)\tPrec@1 89.453 (91.456)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3460 (0.3157)\tPrec@1 90.625 (91.454)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4500 (0.3175)\tPrec@1 87.109 (91.445)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.4163 (0.3193)\tPrec@1 89.062 (91.387)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2431 (0.3162)\tPrec@1 93.359 (91.441)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.5451 (0.3171)\tPrec@1 88.672 (91.432)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3249 (0.3131)\tPrec@1 92.188 (91.499)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2523 (0.3144)\tPrec@1 92.188 (91.470)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.4379 (0.3168)\tPrec@1 88.281 (91.404)\n",
      " * Prec@1 91.353\n",
      "Epoch: [15][0/118]\tTime 0.339 (0.339)\tLoss 0.0320 (0.0320)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [15][10/118]\tTime 0.612 (0.589)\tLoss 0.0256 (0.0453)\tPrec@1 99.219 (98.402)\n",
      "Epoch: [15][20/118]\tTime 0.611 (0.601)\tLoss 0.0449 (0.0442)\tPrec@1 98.047 (98.438)\n",
      "Epoch: [15][30/118]\tTime 0.612 (0.605)\tLoss 0.0451 (0.0434)\tPrec@1 98.828 (98.438)\n",
      "Epoch: [15][40/118]\tTime 0.616 (0.607)\tLoss 0.0476 (0.0415)\tPrec@1 97.656 (98.485)\n",
      "Epoch: [15][50/118]\tTime 0.617 (0.609)\tLoss 0.0248 (0.0412)\tPrec@1 99.609 (98.545)\n",
      "Epoch: [15][60/118]\tTime 0.616 (0.610)\tLoss 0.0675 (0.0433)\tPrec@1 98.047 (98.450)\n",
      "Epoch: [15][70/118]\tTime 0.611 (0.610)\tLoss 0.0454 (0.0441)\tPrec@1 98.438 (98.432)\n",
      "Epoch: [15][80/118]\tTime 0.613 (0.611)\tLoss 0.0480 (0.0460)\tPrec@1 98.438 (98.365)\n",
      "Epoch: [15][90/118]\tTime 0.613 (0.611)\tLoss 0.0615 (0.0464)\tPrec@1 97.656 (98.352)\n",
      "Epoch: [15][100/118]\tTime 0.611 (0.611)\tLoss 0.0632 (0.0487)\tPrec@1 97.266 (98.271)\n",
      "Epoch: [15][110/118]\tTime 0.615 (0.611)\tLoss 0.0228 (0.0497)\tPrec@1 98.828 (98.240)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.5811 (0.5811)\tPrec@1 82.812 (82.812)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.5194 (0.4644)\tPrec@1 88.672 (89.240)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.7895 (0.4867)\tPrec@1 83.203 (88.393)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4805 (0.4755)\tPrec@1 89.844 (88.533)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4491 (0.4686)\tPrec@1 87.500 (88.529)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.5681 (0.4661)\tPrec@1 87.109 (88.542)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.6005 (0.4719)\tPrec@1 85.156 (88.416)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4325 (0.4679)\tPrec@1 86.719 (88.468)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3014 (0.4666)\tPrec@1 91.797 (88.445)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.8344 (0.4681)\tPrec@1 82.812 (88.444)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.5070 (0.4644)\tPrec@1 89.844 (88.544)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.6529 (0.4643)\tPrec@1 86.328 (88.573)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4488 (0.4603)\tPrec@1 87.891 (88.636)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4743 (0.4586)\tPrec@1 87.891 (88.666)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3126 (0.4533)\tPrec@1 91.797 (88.755)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4280 (0.4543)\tPrec@1 87.891 (88.739)\n",
      " * Prec@1 88.692\n",
      "Epoch: [16][0/118]\tTime 0.345 (0.345)\tLoss 0.0329 (0.0329)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [16][10/118]\tTime 0.609 (0.588)\tLoss 0.1192 (0.0844)\tPrec@1 95.312 (97.301)\n",
      "Epoch: [16][20/118]\tTime 0.613 (0.601)\tLoss 0.0609 (0.0752)\tPrec@1 98.047 (97.582)\n",
      "Epoch: [16][30/118]\tTime 0.618 (0.605)\tLoss 0.0982 (0.0709)\tPrec@1 96.484 (97.757)\n",
      "Epoch: [16][40/118]\tTime 0.617 (0.607)\tLoss 0.0666 (0.0655)\tPrec@1 98.438 (97.933)\n",
      "Epoch: [16][50/118]\tTime 0.615 (0.609)\tLoss 0.0419 (0.0616)\tPrec@1 98.438 (98.047)\n",
      "Epoch: [16][60/118]\tTime 0.617 (0.610)\tLoss 0.0472 (0.0591)\tPrec@1 98.438 (98.124)\n",
      "Epoch: [16][70/118]\tTime 0.606 (0.610)\tLoss 0.0504 (0.0570)\tPrec@1 97.656 (98.157)\n",
      "Epoch: [16][80/118]\tTime 0.613 (0.611)\tLoss 0.0220 (0.0544)\tPrec@1 99.609 (98.240)\n",
      "Epoch: [16][90/118]\tTime 0.614 (0.611)\tLoss 0.0415 (0.0531)\tPrec@1 98.828 (98.283)\n",
      "Epoch: [16][100/118]\tTime 0.612 (0.611)\tLoss 0.0476 (0.0542)\tPrec@1 98.438 (98.252)\n",
      "Epoch: [16][110/118]\tTime 0.612 (0.612)\tLoss 0.0563 (0.0548)\tPrec@1 98.438 (98.216)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.1835 (0.1835)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3224 (0.2862)\tPrec@1 90.234 (91.371)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3042 (0.3018)\tPrec@1 90.234 (90.960)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2820 (0.3140)\tPrec@1 91.406 (90.650)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4031 (0.3140)\tPrec@1 89.453 (90.720)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3423 (0.3141)\tPrec@1 90.234 (90.824)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3543 (0.3140)\tPrec@1 90.625 (90.856)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3583 (0.3115)\tPrec@1 91.016 (90.928)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2461 (0.3110)\tPrec@1 92.188 (90.900)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3124 (0.3112)\tPrec@1 89.453 (90.917)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.4423 (0.3091)\tPrec@1 85.156 (90.942)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2673 (0.3078)\tPrec@1 90.625 (90.931)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1825 (0.3079)\tPrec@1 92.969 (90.909)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3002 (0.3067)\tPrec@1 89.453 (90.896)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.1233 (0.3041)\tPrec@1 95.703 (90.988)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2740 (0.3021)\tPrec@1 92.578 (91.044)\n",
      " * Prec@1 91.065\n",
      "Epoch: [17][0/118]\tTime 0.344 (0.344)\tLoss 0.0478 (0.0478)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [17][10/118]\tTime 0.615 (0.589)\tLoss 0.0252 (0.0416)\tPrec@1 99.609 (98.473)\n",
      "Epoch: [17][20/118]\tTime 0.615 (0.601)\tLoss 0.0536 (0.0456)\tPrec@1 97.266 (98.233)\n",
      "Epoch: [17][30/118]\tTime 0.615 (0.605)\tLoss 0.0467 (0.0499)\tPrec@1 98.047 (98.173)\n",
      "Epoch: [17][40/118]\tTime 0.622 (0.608)\tLoss 0.0503 (0.0510)\tPrec@1 98.047 (98.209)\n",
      "Epoch: [17][50/118]\tTime 0.615 (0.609)\tLoss 0.0312 (0.0476)\tPrec@1 99.219 (98.330)\n",
      "Epoch: [17][60/118]\tTime 0.620 (0.610)\tLoss 0.0340 (0.0457)\tPrec@1 98.438 (98.399)\n",
      "Epoch: [17][70/118]\tTime 0.614 (0.611)\tLoss 0.0342 (0.0443)\tPrec@1 98.828 (98.482)\n",
      "Epoch: [17][80/118]\tTime 0.615 (0.611)\tLoss 0.0252 (0.0431)\tPrec@1 99.609 (98.534)\n",
      "Epoch: [17][90/118]\tTime 0.617 (0.612)\tLoss 0.0344 (0.0447)\tPrec@1 99.609 (98.468)\n",
      "Epoch: [17][100/118]\tTime 0.612 (0.612)\tLoss 0.0258 (0.0461)\tPrec@1 99.219 (98.426)\n",
      "Epoch: [17][110/118]\tTime 0.613 (0.612)\tLoss 0.0393 (0.0466)\tPrec@1 98.828 (98.409)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.3724 (0.3724)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2842 (0.3554)\tPrec@1 90.625 (89.631)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2818 (0.3610)\tPrec@1 91.797 (89.621)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3384 (0.3654)\tPrec@1 90.234 (89.453)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3079 (0.3617)\tPrec@1 92.578 (89.682)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.4536 (0.3595)\tPrec@1 87.500 (89.591)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3124 (0.3541)\tPrec@1 90.625 (89.773)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4037 (0.3500)\tPrec@1 89.062 (89.877)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3711 (0.3477)\tPrec@1 88.281 (89.935)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.3605 (0.3505)\tPrec@1 89.453 (89.917)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.4202 (0.3478)\tPrec@1 89.844 (90.010)\n",
      "Test: [110/157]\tTime 0.181 (0.185)\tLoss 0.4144 (0.3495)\tPrec@1 89.062 (89.995)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.3880 (0.3493)\tPrec@1 89.453 (90.021)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5329 (0.3516)\tPrec@1 86.719 (89.945)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2566 (0.3502)\tPrec@1 89.844 (89.935)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3109 (0.3489)\tPrec@1 91.016 (89.924)\n",
      " * Prec@1 89.925\n",
      "Epoch: [18][0/118]\tTime 0.354 (0.354)\tLoss 0.0513 (0.0513)\tPrec@1 97.266 (97.266)\n",
      "Epoch: [18][10/118]\tTime 0.615 (0.592)\tLoss 0.0235 (0.0478)\tPrec@1 100.000 (98.722)\n",
      "Epoch: [18][20/118]\tTime 0.611 (0.602)\tLoss 0.0357 (0.0474)\tPrec@1 98.828 (98.642)\n",
      "Epoch: [18][30/118]\tTime 0.618 (0.606)\tLoss 0.0515 (0.0481)\tPrec@1 98.047 (98.538)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [18][40/118]\tTime 0.614 (0.608)\tLoss 0.0271 (0.0468)\tPrec@1 99.219 (98.447)\n",
      "Epoch: [18][50/118]\tTime 0.618 (0.610)\tLoss 0.0197 (0.0482)\tPrec@1 99.219 (98.384)\n",
      "Epoch: [18][60/118]\tTime 0.614 (0.611)\tLoss 0.0336 (0.0466)\tPrec@1 99.219 (98.457)\n",
      "Epoch: [18][70/118]\tTime 0.622 (0.611)\tLoss 0.0463 (0.0468)\tPrec@1 98.828 (98.476)\n",
      "Epoch: [18][80/118]\tTime 0.615 (0.612)\tLoss 0.0213 (0.0465)\tPrec@1 99.609 (98.495)\n",
      "Epoch: [18][90/118]\tTime 0.611 (0.612)\tLoss 0.0730 (0.0468)\tPrec@1 98.438 (98.502)\n",
      "Epoch: [18][100/118]\tTime 0.614 (0.612)\tLoss 0.0919 (0.0482)\tPrec@1 97.656 (98.453)\n",
      "Epoch: [18][110/118]\tTime 0.615 (0.613)\tLoss 0.0614 (0.0479)\tPrec@1 98.438 (98.504)\n",
      "Test: [0/157]\tTime 0.387 (0.387)\tLoss 0.3383 (0.3383)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3419 (0.3302)\tPrec@1 90.234 (90.696)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3030 (0.3400)\tPrec@1 91.016 (90.830)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3218 (0.3455)\tPrec@1 92.188 (90.801)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3333 (0.3490)\tPrec@1 89.453 (90.692)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4358 (0.3450)\tPrec@1 87.109 (90.709)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4062 (0.3473)\tPrec@1 89.844 (90.561)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4872 (0.3502)\tPrec@1 88.281 (90.520)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3687 (0.3464)\tPrec@1 89.062 (90.567)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.3806 (0.3488)\tPrec@1 88.281 (90.453)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3532 (0.3495)\tPrec@1 92.188 (90.490)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3579 (0.3485)\tPrec@1 88.281 (90.505)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4085 (0.3466)\tPrec@1 89.844 (90.548)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3679 (0.3493)\tPrec@1 88.672 (90.470)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.3590 (0.3520)\tPrec@1 89.062 (90.384)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.4687 (0.3538)\tPrec@1 90.625 (90.379)\n",
      " * Prec@1 90.358\n",
      "Epoch: [19][0/118]\tTime 0.343 (0.343)\tLoss 0.0197 (0.0197)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [19][10/118]\tTime 0.615 (0.591)\tLoss 0.0295 (0.0429)\tPrec@1 98.828 (98.615)\n",
      "Epoch: [19][20/118]\tTime 0.617 (0.602)\tLoss 0.0348 (0.0414)\tPrec@1 98.828 (98.624)\n",
      "Epoch: [19][30/118]\tTime 0.611 (0.607)\tLoss 0.0314 (0.0396)\tPrec@1 99.219 (98.652)\n",
      "Epoch: [19][40/118]\tTime 0.614 (0.609)\tLoss 0.0232 (0.0391)\tPrec@1 99.219 (98.733)\n",
      "Epoch: [19][50/118]\tTime 0.615 (0.610)\tLoss 0.0119 (0.0376)\tPrec@1 100.000 (98.813)\n",
      "Epoch: [19][60/118]\tTime 0.615 (0.611)\tLoss 0.0323 (0.0354)\tPrec@1 99.609 (98.911)\n",
      "Epoch: [19][70/118]\tTime 0.616 (0.611)\tLoss 0.0380 (0.0344)\tPrec@1 99.609 (98.960)\n",
      "Epoch: [19][80/118]\tTime 0.618 (0.612)\tLoss 0.0185 (0.0347)\tPrec@1 99.609 (98.949)\n",
      "Epoch: [19][90/118]\tTime 0.616 (0.612)\tLoss 0.0479 (0.0358)\tPrec@1 98.828 (98.910)\n",
      "Epoch: [19][100/118]\tTime 0.613 (0.612)\tLoss 0.0465 (0.0369)\tPrec@1 98.438 (98.878)\n",
      "Epoch: [19][110/118]\tTime 0.616 (0.612)\tLoss 0.0801 (0.0374)\tPrec@1 97.656 (98.832)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.2287 (0.2287)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3061 (0.3176)\tPrec@1 91.406 (90.945)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2029 (0.3019)\tPrec@1 95.312 (91.406)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3679 (0.3061)\tPrec@1 88.281 (91.318)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4514 (0.3066)\tPrec@1 87.500 (91.387)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3215 (0.3061)\tPrec@1 90.234 (91.460)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3093 (0.3104)\tPrec@1 91.406 (91.406)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2809 (0.3115)\tPrec@1 92.578 (91.439)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2644 (0.3146)\tPrec@1 93.750 (91.397)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2550 (0.3145)\tPrec@1 93.750 (91.398)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2806 (0.3151)\tPrec@1 91.797 (91.368)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.4218 (0.3141)\tPrec@1 87.500 (91.389)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.3667 (0.3143)\tPrec@1 91.016 (91.371)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2532 (0.3140)\tPrec@1 91.797 (91.359)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3886 (0.3154)\tPrec@1 89.453 (91.351)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2793 (0.3156)\tPrec@1 92.969 (91.357)\n",
      " * Prec@1 91.375\n",
      "Epoch: [20][0/118]\tTime 0.342 (0.342)\tLoss 0.0197 (0.0197)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [20][10/118]\tTime 0.618 (0.590)\tLoss 0.0835 (0.0802)\tPrec@1 97.266 (97.266)\n",
      "Epoch: [20][20/118]\tTime 0.613 (0.602)\tLoss 0.0374 (0.0788)\tPrec@1 98.438 (97.303)\n",
      "Epoch: [20][30/118]\tTime 0.613 (0.606)\tLoss 0.0899 (0.0823)\tPrec@1 97.266 (97.102)\n",
      "Epoch: [20][40/118]\tTime 0.619 (0.608)\tLoss 0.0781 (0.0795)\tPrec@1 96.094 (97.247)\n",
      "Epoch: [20][50/118]\tTime 0.615 (0.610)\tLoss 0.0582 (0.0766)\tPrec@1 97.266 (97.335)\n",
      "Epoch: [20][60/118]\tTime 0.611 (0.610)\tLoss 0.1112 (0.0733)\tPrec@1 97.266 (97.522)\n",
      "Epoch: [20][70/118]\tTime 0.615 (0.611)\tLoss 0.0813 (0.0708)\tPrec@1 96.094 (97.557)\n",
      "Epoch: [20][80/118]\tTime 0.612 (0.612)\tLoss 0.0347 (0.0681)\tPrec@1 99.219 (97.656)\n",
      "Epoch: [20][90/118]\tTime 0.614 (0.612)\tLoss 0.0611 (0.0662)\tPrec@1 98.828 (97.746)\n",
      "Epoch: [20][100/118]\tTime 0.617 (0.612)\tLoss 0.0447 (0.0651)\tPrec@1 98.438 (97.745)\n",
      "Epoch: [20][110/118]\tTime 0.616 (0.612)\tLoss 0.0732 (0.0648)\tPrec@1 96.875 (97.751)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.6491 (0.6491)\tPrec@1 82.422 (82.422)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.8907 (0.7037)\tPrec@1 79.297 (82.351)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.5750 (0.6874)\tPrec@1 85.938 (82.496)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.6755 (0.6768)\tPrec@1 84.766 (82.876)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.8082 (0.6700)\tPrec@1 77.734 (82.974)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.6725 (0.6681)\tPrec@1 80.859 (82.996)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.7729 (0.6639)\tPrec@1 80.078 (82.966)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.5828 (0.6610)\tPrec@1 84.766 (82.879)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.6364 (0.6596)\tPrec@1 83.594 (82.784)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.6415 (0.6599)\tPrec@1 83.203 (82.735)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.5136 (0.6655)\tPrec@1 82.812 (82.627)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4318 (0.6653)\tPrec@1 87.500 (82.615)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4701 (0.6629)\tPrec@1 87.500 (82.674)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5040 (0.6670)\tPrec@1 84.375 (82.565)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.5984 (0.6688)\tPrec@1 82.422 (82.544)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.9068 (0.6719)\tPrec@1 76.953 (82.481)\n",
      " * Prec@1 82.550\n",
      "Epoch: [21][0/118]\tTime 0.335 (0.335)\tLoss 0.0431 (0.0431)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [21][10/118]\tTime 0.614 (0.588)\tLoss 0.0484 (0.0536)\tPrec@1 97.656 (98.224)\n",
      "Epoch: [21][20/118]\tTime 0.612 (0.600)\tLoss 0.0473 (0.0525)\tPrec@1 98.047 (98.177)\n",
      "Epoch: [21][30/118]\tTime 0.616 (0.605)\tLoss 0.0390 (0.0513)\tPrec@1 98.438 (98.185)\n",
      "Epoch: [21][40/118]\tTime 0.613 (0.607)\tLoss 0.0270 (0.0495)\tPrec@1 99.219 (98.304)\n",
      "Epoch: [21][50/118]\tTime 0.615 (0.609)\tLoss 0.0588 (0.0473)\tPrec@1 98.828 (98.384)\n",
      "Epoch: [21][60/118]\tTime 0.616 (0.610)\tLoss 0.0367 (0.0446)\tPrec@1 98.438 (98.463)\n",
      "Epoch: [21][70/118]\tTime 0.615 (0.611)\tLoss 0.0275 (0.0436)\tPrec@1 100.000 (98.509)\n",
      "Epoch: [21][80/118]\tTime 0.613 (0.611)\tLoss 0.0216 (0.0422)\tPrec@1 99.609 (98.601)\n",
      "Epoch: [21][90/118]\tTime 0.617 (0.612)\tLoss 0.0362 (0.0410)\tPrec@1 98.828 (98.648)\n",
      "Epoch: [21][100/118]\tTime 0.613 (0.612)\tLoss 0.0276 (0.0401)\tPrec@1 98.828 (98.666)\n",
      "Epoch: [21][110/118]\tTime 0.618 (0.612)\tLoss 0.0281 (0.0392)\tPrec@1 99.219 (98.691)\n",
      "Test: [0/157]\tTime 0.391 (0.391)\tLoss 0.3314 (0.3314)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2701 (0.3336)\tPrec@1 94.141 (91.335)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3588 (0.3320)\tPrec@1 89.844 (91.313)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3703 (0.3349)\tPrec@1 88.672 (91.142)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3333 (0.3360)\tPrec@1 91.406 (91.159)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4295 (0.3399)\tPrec@1 89.844 (91.123)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4542 (0.3340)\tPrec@1 89.062 (91.227)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3237 (0.3328)\tPrec@1 91.797 (91.186)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3825 (0.3373)\tPrec@1 91.797 (91.102)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2918 (0.3317)\tPrec@1 92.188 (91.157)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3657 (0.3299)\tPrec@1 90.234 (91.201)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3554 (0.3312)\tPrec@1 90.234 (91.209)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3145 (0.3308)\tPrec@1 90.625 (91.264)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3782 (0.3288)\tPrec@1 91.016 (91.308)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2552 (0.3306)\tPrec@1 92.969 (91.309)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3282 (0.3310)\tPrec@1 91.797 (91.308)\n",
      " * Prec@1 91.308\n",
      "Epoch: [22][0/118]\tTime 0.353 (0.353)\tLoss 0.0227 (0.0227)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [22][10/118]\tTime 0.612 (0.591)\tLoss 0.0254 (0.0304)\tPrec@1 99.219 (99.077)\n",
      "Epoch: [22][20/118]\tTime 0.616 (0.602)\tLoss 0.0129 (0.0239)\tPrec@1 99.609 (99.275)\n",
      "Epoch: [22][30/118]\tTime 0.614 (0.606)\tLoss 0.0099 (0.0219)\tPrec@1 100.000 (99.320)\n",
      "Epoch: [22][40/118]\tTime 0.611 (0.608)\tLoss 0.0206 (0.0242)\tPrec@1 99.219 (99.162)\n",
      "Epoch: [22][50/118]\tTime 0.613 (0.608)\tLoss 0.0124 (0.0240)\tPrec@1 100.000 (99.188)\n",
      "Epoch: [22][60/118]\tTime 0.612 (0.609)\tLoss 0.0137 (0.0231)\tPrec@1 100.000 (99.238)\n",
      "Epoch: [22][70/118]\tTime 0.616 (0.610)\tLoss 0.0163 (0.0226)\tPrec@1 99.609 (99.257)\n",
      "Epoch: [22][80/118]\tTime 0.611 (0.610)\tLoss 0.0155 (0.0227)\tPrec@1 99.609 (99.267)\n",
      "Epoch: [22][90/118]\tTime 0.614 (0.611)\tLoss 0.0148 (0.0224)\tPrec@1 100.000 (99.279)\n",
      "Epoch: [22][100/118]\tTime 0.616 (0.611)\tLoss 0.0199 (0.0230)\tPrec@1 99.219 (99.234)\n",
      "Epoch: [22][110/118]\tTime 0.613 (0.611)\tLoss 0.0616 (0.0238)\tPrec@1 97.656 (99.201)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.2218 (0.2218)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2853 (0.3448)\tPrec@1 94.141 (91.229)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.4787 (0.3504)\tPrec@1 89.844 (91.295)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4801 (0.3526)\tPrec@1 89.844 (91.406)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3258 (0.3456)\tPrec@1 92.188 (91.549)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.4206 (0.3453)\tPrec@1 91.016 (91.575)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3803 (0.3449)\tPrec@1 89.062 (91.598)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4170 (0.3477)\tPrec@1 92.969 (91.681)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2863 (0.3478)\tPrec@1 94.141 (91.633)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.4190 (0.3493)\tPrec@1 90.625 (91.539)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3230 (0.3523)\tPrec@1 91.797 (91.484)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.4082 (0.3527)\tPrec@1 88.672 (91.448)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3943 (0.3571)\tPrec@1 92.188 (91.368)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2754 (0.3565)\tPrec@1 92.188 (91.335)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4105 (0.3601)\tPrec@1 90.234 (91.259)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3128 (0.3580)\tPrec@1 92.188 (91.305)\n",
      " * Prec@1 91.278\n",
      "Epoch: [23][0/118]\tTime 0.341 (0.341)\tLoss 0.0332 (0.0332)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [23][10/118]\tTime 0.613 (0.590)\tLoss 0.0407 (0.0343)\tPrec@1 98.828 (99.077)\n",
      "Epoch: [23][20/118]\tTime 0.621 (0.601)\tLoss 0.0685 (0.0355)\tPrec@1 98.047 (98.903)\n",
      "Epoch: [23][30/118]\tTime 0.617 (0.605)\tLoss 0.0102 (0.0353)\tPrec@1 100.000 (98.879)\n",
      "Epoch: [23][40/118]\tTime 0.613 (0.607)\tLoss 0.0310 (0.0355)\tPrec@1 99.609 (98.904)\n",
      "Epoch: [23][50/118]\tTime 0.614 (0.608)\tLoss 0.0209 (0.0353)\tPrec@1 99.219 (98.874)\n",
      "Epoch: [23][60/118]\tTime 0.613 (0.609)\tLoss 0.0413 (0.0351)\tPrec@1 98.828 (98.879)\n",
      "Epoch: [23][70/118]\tTime 0.613 (0.610)\tLoss 0.0377 (0.0340)\tPrec@1 98.828 (98.922)\n",
      "Epoch: [23][80/118]\tTime 0.616 (0.610)\tLoss 0.0297 (0.0338)\tPrec@1 99.219 (98.944)\n",
      "Epoch: [23][90/118]\tTime 0.614 (0.611)\tLoss 0.0171 (0.0336)\tPrec@1 99.219 (98.940)\n",
      "Epoch: [23][100/118]\tTime 0.614 (0.611)\tLoss 0.0387 (0.0340)\tPrec@1 99.219 (98.936)\n",
      "Epoch: [23][110/118]\tTime 0.616 (0.611)\tLoss 0.0344 (0.0355)\tPrec@1 98.828 (98.870)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.2711 (0.2711)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.4613 (0.3620)\tPrec@1 90.234 (90.625)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3939 (0.3584)\tPrec@1 89.062 (90.513)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2947 (0.3591)\tPrec@1 91.797 (90.575)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.3143 (0.3661)\tPrec@1 91.406 (90.444)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3605 (0.3713)\tPrec@1 90.625 (90.265)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.3512 (0.3667)\tPrec@1 90.234 (90.375)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4883 (0.3690)\tPrec@1 88.281 (90.262)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.3896 (0.3662)\tPrec@1 89.062 (90.331)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4828 (0.3664)\tPrec@1 87.891 (90.269)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.5280 (0.3684)\tPrec@1 87.500 (90.281)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4014 (0.3693)\tPrec@1 88.281 (90.277)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.2578 (0.3673)\tPrec@1 91.406 (90.302)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.2749 (0.3665)\tPrec@1 93.359 (90.273)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.5113 (0.3672)\tPrec@1 87.500 (90.221)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3357 (0.3678)\tPrec@1 92.188 (90.227)\n",
      " * Prec@1 90.213\n",
      "Epoch: [24][0/118]\tTime 0.340 (0.340)\tLoss 0.0202 (0.0202)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [24][10/118]\tTime 0.615 (0.590)\tLoss 0.0390 (0.0329)\tPrec@1 98.438 (98.864)\n",
      "Epoch: [24][20/118]\tTime 0.614 (0.602)\tLoss 0.0621 (0.0362)\tPrec@1 98.828 (98.791)\n",
      "Epoch: [24][30/118]\tTime 0.616 (0.606)\tLoss 0.0356 (0.0350)\tPrec@1 98.438 (98.891)\n",
      "Epoch: [24][40/118]\tTime 0.614 (0.609)\tLoss 0.0268 (0.0343)\tPrec@1 99.219 (98.942)\n",
      "Epoch: [24][50/118]\tTime 0.619 (0.610)\tLoss 0.0228 (0.0340)\tPrec@1 99.219 (98.920)\n",
      "Epoch: [24][60/118]\tTime 0.614 (0.611)\tLoss 0.0796 (0.0353)\tPrec@1 98.047 (98.879)\n",
      "Epoch: [24][70/118]\tTime 0.615 (0.611)\tLoss 0.0350 (0.0367)\tPrec@1 99.219 (98.823)\n",
      "Epoch: [24][80/118]\tTime 0.617 (0.612)\tLoss 0.0587 (0.0378)\tPrec@1 97.656 (98.775)\n",
      "Epoch: [24][90/118]\tTime 0.617 (0.612)\tLoss 0.0271 (0.0384)\tPrec@1 99.219 (98.768)\n",
      "Epoch: [24][100/118]\tTime 0.616 (0.612)\tLoss 0.0352 (0.0411)\tPrec@1 99.219 (98.677)\n",
      "Epoch: [24][110/118]\tTime 0.612 (0.613)\tLoss 0.0516 (0.0419)\tPrec@1 98.047 (98.652)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.4592 (0.4592)\tPrec@1 86.719 (86.719)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.4426 (0.3360)\tPrec@1 87.500 (90.518)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3948 (0.3263)\tPrec@1 91.016 (90.997)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3202 (0.3314)\tPrec@1 90.625 (90.890)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2967 (0.3282)\tPrec@1 90.234 (90.930)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3045 (0.3238)\tPrec@1 93.750 (91.100)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2206 (0.3322)\tPrec@1 93.359 (90.984)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2839 (0.3308)\tPrec@1 92.969 (91.038)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.2738 (0.3263)\tPrec@1 92.969 (91.180)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4051 (0.3245)\tPrec@1 89.844 (91.256)\n",
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.2411 (0.3227)\tPrec@1 92.969 (91.240)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3254 (0.3208)\tPrec@1 91.016 (91.280)\n",
      "Test: [120/157]\tTime 0.184 (0.185)\tLoss 0.2809 (0.3165)\tPrec@1 89.844 (91.387)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.1930 (0.3154)\tPrec@1 94.141 (91.436)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2880 (0.3142)\tPrec@1 92.188 (91.442)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.3499 (0.3144)\tPrec@1 92.578 (91.450)\n",
      " * Prec@1 91.422\n",
      "Epoch: [25][0/118]\tTime 0.341 (0.341)\tLoss 0.0453 (0.0453)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [25][10/118]\tTime 0.616 (0.591)\tLoss 0.0244 (0.0419)\tPrec@1 99.219 (98.686)\n",
      "Epoch: [25][20/118]\tTime 0.612 (0.602)\tLoss 0.0171 (0.0413)\tPrec@1 99.609 (98.754)\n",
      "Epoch: [25][30/118]\tTime 0.613 (0.606)\tLoss 0.0216 (0.0352)\tPrec@1 100.000 (98.992)\n",
      "Epoch: [25][40/118]\tTime 0.615 (0.608)\tLoss 0.0397 (0.0349)\tPrec@1 98.438 (98.981)\n",
      "Epoch: [25][50/118]\tTime 0.615 (0.610)\tLoss 0.0419 (0.0343)\tPrec@1 98.828 (98.989)\n",
      "Epoch: [25][60/118]\tTime 0.616 (0.610)\tLoss 0.0331 (0.0344)\tPrec@1 99.219 (98.937)\n",
      "Epoch: [25][70/118]\tTime 0.615 (0.611)\tLoss 0.0380 (0.0349)\tPrec@1 99.219 (98.922)\n",
      "Epoch: [25][80/118]\tTime 0.617 (0.612)\tLoss 0.0413 (0.0356)\tPrec@1 98.438 (98.881)\n",
      "Epoch: [25][90/118]\tTime 0.616 (0.612)\tLoss 0.0576 (0.0350)\tPrec@1 98.047 (98.897)\n",
      "Epoch: [25][100/118]\tTime 0.613 (0.612)\tLoss 0.0382 (0.0347)\tPrec@1 97.656 (98.909)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [25][110/118]\tTime 0.610 (0.612)\tLoss 0.0482 (0.0353)\tPrec@1 98.047 (98.884)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.5349 (0.5349)\tPrec@1 87.109 (87.109)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.4415 (0.4771)\tPrec@1 88.672 (88.317)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4389 (0.4592)\tPrec@1 89.844 (88.839)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.5814 (0.4574)\tPrec@1 86.328 (88.949)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3639 (0.4594)\tPrec@1 92.188 (88.948)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.5496 (0.4604)\tPrec@1 86.719 (88.848)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4458 (0.4580)\tPrec@1 87.891 (88.864)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4482 (0.4505)\tPrec@1 87.109 (89.068)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.5592 (0.4574)\tPrec@1 88.281 (88.966)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.5631 (0.4614)\tPrec@1 87.109 (88.938)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.5545 (0.4636)\tPrec@1 87.891 (88.896)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.4702 (0.4620)\tPrec@1 88.281 (88.918)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.3902 (0.4575)\tPrec@1 90.625 (88.940)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.6037 (0.4593)\tPrec@1 87.500 (88.937)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.5014 (0.4589)\tPrec@1 87.891 (88.916)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.6662 (0.4597)\tPrec@1 85.547 (88.931)\n",
      " * Prec@1 88.907\n",
      "Epoch: [26][0/118]\tTime 0.340 (0.340)\tLoss 0.0479 (0.0479)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [26][10/118]\tTime 0.615 (0.590)\tLoss 0.0384 (0.0559)\tPrec@1 98.828 (98.082)\n",
      "Epoch: [26][20/118]\tTime 0.617 (0.601)\tLoss 0.0896 (0.0556)\tPrec@1 98.047 (98.289)\n",
      "Epoch: [26][30/118]\tTime 0.618 (0.606)\tLoss 0.0539 (0.0544)\tPrec@1 97.656 (98.274)\n",
      "Epoch: [26][40/118]\tTime 0.614 (0.608)\tLoss 0.0359 (0.0538)\tPrec@1 98.828 (98.295)\n",
      "Epoch: [26][50/118]\tTime 0.612 (0.610)\tLoss 0.0223 (0.0545)\tPrec@1 99.609 (98.300)\n",
      "Epoch: [26][60/118]\tTime 0.614 (0.611)\tLoss 0.0227 (0.0545)\tPrec@1 99.609 (98.220)\n",
      "Epoch: [26][70/118]\tTime 0.619 (0.611)\tLoss 0.0825 (0.0536)\tPrec@1 97.656 (98.267)\n",
      "Epoch: [26][80/118]\tTime 0.613 (0.612)\tLoss 0.0714 (0.0528)\tPrec@1 98.047 (98.278)\n",
      "Epoch: [26][90/118]\tTime 0.618 (0.612)\tLoss 0.0368 (0.0517)\tPrec@1 99.219 (98.317)\n",
      "Epoch: [26][100/118]\tTime 0.612 (0.612)\tLoss 0.0433 (0.0502)\tPrec@1 98.828 (98.360)\n",
      "Epoch: [26][110/118]\tTime 0.612 (0.613)\tLoss 0.0512 (0.0491)\tPrec@1 98.438 (98.409)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.3240 (0.3240)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.4769 (0.4048)\tPrec@1 87.109 (88.814)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3341 (0.3938)\tPrec@1 89.844 (89.583)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3981 (0.4028)\tPrec@1 91.016 (89.415)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.5391 (0.3992)\tPrec@1 85.547 (89.472)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3161 (0.3933)\tPrec@1 89.453 (89.591)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4317 (0.3925)\tPrec@1 90.625 (89.575)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.4595 (0.4057)\tPrec@1 89.062 (89.343)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.4252 (0.4113)\tPrec@1 90.625 (89.212)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.4763 (0.4142)\tPrec@1 87.891 (89.183)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.4567 (0.4146)\tPrec@1 89.453 (89.194)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3675 (0.4134)\tPrec@1 89.844 (89.200)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3510 (0.4079)\tPrec@1 91.797 (89.269)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5478 (0.4086)\tPrec@1 84.375 (89.280)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3940 (0.4098)\tPrec@1 89.453 (89.284)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4168 (0.4107)\tPrec@1 90.625 (89.275)\n",
      " * Prec@1 89.290\n",
      "Epoch: [27][0/118]\tTime 0.341 (0.341)\tLoss 0.0596 (0.0596)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [27][10/118]\tTime 0.620 (0.589)\tLoss 0.0321 (0.0419)\tPrec@1 99.219 (98.828)\n",
      "Epoch: [27][20/118]\tTime 0.612 (0.600)\tLoss 0.0292 (0.0381)\tPrec@1 98.828 (98.958)\n",
      "Epoch: [27][30/118]\tTime 0.611 (0.604)\tLoss 0.0613 (0.0344)\tPrec@1 98.047 (99.068)\n",
      "Epoch: [27][40/118]\tTime 0.613 (0.607)\tLoss 0.0058 (0.0304)\tPrec@1 100.000 (99.181)\n",
      "Epoch: [27][50/118]\tTime 0.613 (0.608)\tLoss 0.0234 (0.0290)\tPrec@1 98.828 (99.196)\n",
      "Epoch: [27][60/118]\tTime 0.613 (0.609)\tLoss 0.0212 (0.0280)\tPrec@1 99.609 (99.219)\n",
      "Epoch: [27][70/118]\tTime 0.618 (0.610)\tLoss 0.0155 (0.0273)\tPrec@1 99.609 (99.219)\n",
      "Epoch: [27][80/118]\tTime 0.618 (0.611)\tLoss 0.0174 (0.0281)\tPrec@1 99.609 (99.180)\n",
      "Epoch: [27][90/118]\tTime 0.616 (0.611)\tLoss 0.0601 (0.0284)\tPrec@1 97.656 (99.146)\n",
      "Epoch: [27][100/118]\tTime 0.621 (0.612)\tLoss 0.0347 (0.0294)\tPrec@1 98.438 (99.103)\n",
      "Epoch: [27][110/118]\tTime 0.615 (0.612)\tLoss 0.0355 (0.0302)\tPrec@1 98.828 (99.071)\n",
      "Test: [0/157]\tTime 0.391 (0.391)\tLoss 0.2816 (0.2816)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3293 (0.3527)\tPrec@1 89.844 (91.264)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2906 (0.3364)\tPrec@1 91.797 (91.257)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.5433 (0.3455)\tPrec@1 88.281 (91.016)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3739 (0.3548)\tPrec@1 91.016 (90.873)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.4216 (0.3615)\tPrec@1 89.453 (90.671)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.3790 (0.3631)\tPrec@1 89.453 (90.721)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4013 (0.3621)\tPrec@1 89.453 (90.697)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.3830 (0.3656)\tPrec@1 89.453 (90.557)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2016 (0.3622)\tPrec@1 93.359 (90.711)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3308 (0.3616)\tPrec@1 91.406 (90.652)\n",
      "Test: [110/157]\tTime 0.184 (0.185)\tLoss 0.3597 (0.3597)\tPrec@1 88.672 (90.685)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2686 (0.3565)\tPrec@1 93.750 (90.732)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4240 (0.3554)\tPrec@1 90.625 (90.759)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2450 (0.3551)\tPrec@1 94.141 (90.747)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3733 (0.3565)\tPrec@1 90.234 (90.731)\n",
      " * Prec@1 90.745\n",
      "Epoch: [28][0/118]\tTime 0.340 (0.340)\tLoss 0.0107 (0.0107)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [28][10/118]\tTime 0.618 (0.590)\tLoss 0.0457 (0.0361)\tPrec@1 98.828 (98.899)\n",
      "Epoch: [28][20/118]\tTime 0.616 (0.602)\tLoss 0.0379 (0.0371)\tPrec@1 99.219 (98.865)\n",
      "Epoch: [28][30/118]\tTime 0.613 (0.606)\tLoss 0.0138 (0.0351)\tPrec@1 99.609 (98.954)\n",
      "Epoch: [28][40/118]\tTime 0.614 (0.608)\tLoss 0.0331 (0.0330)\tPrec@1 98.828 (99.038)\n",
      "Epoch: [28][50/118]\tTime 0.615 (0.609)\tLoss 0.0397 (0.0342)\tPrec@1 98.828 (98.951)\n",
      "Epoch: [28][60/118]\tTime 0.616 (0.610)\tLoss 0.0324 (0.0349)\tPrec@1 98.047 (98.892)\n",
      "Epoch: [28][70/118]\tTime 0.616 (0.611)\tLoss 0.0327 (0.0363)\tPrec@1 98.828 (98.861)\n",
      "Epoch: [28][80/118]\tTime 0.620 (0.612)\tLoss 0.0430 (0.0372)\tPrec@1 99.219 (98.818)\n",
      "Epoch: [28][90/118]\tTime 0.611 (0.612)\tLoss 0.0378 (0.0372)\tPrec@1 98.438 (98.802)\n",
      "Epoch: [28][100/118]\tTime 0.616 (0.612)\tLoss 0.0413 (0.0371)\tPrec@1 98.438 (98.805)\n",
      "Epoch: [28][110/118]\tTime 0.615 (0.612)\tLoss 0.0211 (0.0361)\tPrec@1 99.609 (98.846)\n",
      "Test: [0/157]\tTime 0.375 (0.375)\tLoss 0.3186 (0.3186)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.3237 (0.3381)\tPrec@1 90.234 (91.051)\n",
      "Test: [20/157]\tTime 0.182 (0.191)\tLoss 0.4025 (0.3425)\tPrec@1 89.844 (91.220)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.4053 (0.3376)\tPrec@1 91.406 (91.343)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.4849 (0.3449)\tPrec@1 89.062 (91.197)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4602 (0.3504)\tPrec@1 88.281 (91.115)\n",
      "Test: [60/157]\tTime 0.181 (0.185)\tLoss 0.4445 (0.3549)\tPrec@1 91.406 (90.977)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3252 (0.3551)\tPrec@1 91.016 (91.043)\n",
      "Test: [80/157]\tTime 0.182 (0.184)\tLoss 0.3993 (0.3551)\tPrec@1 90.234 (90.977)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.4079 (0.3582)\tPrec@1 91.016 (90.938)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3001 (0.3568)\tPrec@1 93.750 (90.985)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3172 (0.3573)\tPrec@1 91.016 (91.016)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2332 (0.3544)\tPrec@1 91.797 (91.035)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4789 (0.3563)\tPrec@1 89.844 (91.054)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2998 (0.3571)\tPrec@1 91.406 (91.054)\n",
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.3747 (0.3571)\tPrec@1 91.406 (91.067)\n",
      " * Prec@1 91.085\n",
      "Epoch: [29][0/118]\tTime 0.351 (0.351)\tLoss 0.0240 (0.0240)\tPrec@1 99.219 (99.219)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [29][10/118]\tTime 0.614 (0.589)\tLoss 0.0272 (0.0282)\tPrec@1 99.219 (98.970)\n",
      "Epoch: [29][20/118]\tTime 0.612 (0.601)\tLoss 0.0197 (0.0271)\tPrec@1 99.219 (99.070)\n",
      "Epoch: [29][30/118]\tTime 0.616 (0.605)\tLoss 0.0420 (0.0295)\tPrec@1 99.219 (99.055)\n",
      "Epoch: [29][40/118]\tTime 0.612 (0.607)\tLoss 0.0563 (0.0304)\tPrec@1 97.656 (99.057)\n",
      "Epoch: [29][50/118]\tTime 0.611 (0.608)\tLoss 0.0340 (0.0307)\tPrec@1 98.438 (99.027)\n",
      "Epoch: [29][60/118]\tTime 0.617 (0.609)\tLoss 0.0281 (0.0321)\tPrec@1 99.219 (98.988)\n",
      "Epoch: [29][70/118]\tTime 0.614 (0.610)\tLoss 0.0201 (0.0344)\tPrec@1 99.219 (98.900)\n",
      "Epoch: [29][80/118]\tTime 0.616 (0.610)\tLoss 0.0806 (0.0356)\tPrec@1 97.656 (98.833)\n",
      "Epoch: [29][90/118]\tTime 0.615 (0.611)\tLoss 0.0189 (0.0362)\tPrec@1 99.219 (98.811)\n",
      "Epoch: [29][100/118]\tTime 0.613 (0.611)\tLoss 0.0648 (0.0382)\tPrec@1 98.438 (98.747)\n",
      "Epoch: [29][110/118]\tTime 0.615 (0.611)\tLoss 0.0299 (0.0385)\tPrec@1 98.828 (98.708)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.2989 (0.2989)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.181 (0.201)\tLoss 0.3810 (0.3598)\tPrec@1 89.453 (90.554)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.4470 (0.4061)\tPrec@1 88.672 (89.658)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.5059 (0.4054)\tPrec@1 86.719 (89.352)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3504 (0.4009)\tPrec@1 89.453 (89.425)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3570 (0.3949)\tPrec@1 90.234 (89.484)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3243 (0.3923)\tPrec@1 89.453 (89.588)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3089 (0.3958)\tPrec@1 91.797 (89.580)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4079 (0.3879)\tPrec@1 87.891 (89.718)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.3035 (0.3882)\tPrec@1 94.141 (89.745)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.5304 (0.3886)\tPrec@1 88.672 (89.693)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2950 (0.3903)\tPrec@1 91.406 (89.675)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3639 (0.3886)\tPrec@1 89.844 (89.682)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5051 (0.3861)\tPrec@1 87.109 (89.745)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4223 (0.3892)\tPrec@1 87.500 (89.644)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4106 (0.3881)\tPrec@1 89.453 (89.652)\n",
      " * Prec@1 89.630\n",
      "Epoch: [30][0/118]\tTime 0.345 (0.345)\tLoss 0.0363 (0.0363)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [30][10/118]\tTime 0.616 (0.590)\tLoss 0.0439 (0.0387)\tPrec@1 98.438 (98.615)\n",
      "Epoch: [30][20/118]\tTime 0.615 (0.601)\tLoss 0.0338 (0.0429)\tPrec@1 99.219 (98.549)\n",
      "Epoch: [30][30/118]\tTime 0.613 (0.605)\tLoss 0.0322 (0.0420)\tPrec@1 98.828 (98.551)\n",
      "Epoch: [30][40/118]\tTime 0.613 (0.607)\tLoss 0.0179 (0.0389)\tPrec@1 99.609 (98.676)\n",
      "Epoch: [30][50/118]\tTime 0.616 (0.609)\tLoss 0.0704 (0.0379)\tPrec@1 97.656 (98.729)\n",
      "Epoch: [30][60/118]\tTime 0.616 (0.609)\tLoss 0.0454 (0.0383)\tPrec@1 98.047 (98.706)\n",
      "Epoch: [30][70/118]\tTime 0.610 (0.610)\tLoss 0.0686 (0.0382)\tPrec@1 96.875 (98.702)\n",
      "Epoch: [30][80/118]\tTime 0.612 (0.610)\tLoss 0.0257 (0.0390)\tPrec@1 99.219 (98.703)\n",
      "Epoch: [30][90/118]\tTime 0.616 (0.611)\tLoss 0.0550 (0.0387)\tPrec@1 98.047 (98.695)\n",
      "Epoch: [30][100/118]\tTime 0.612 (0.611)\tLoss 0.0649 (0.0393)\tPrec@1 98.438 (98.666)\n",
      "Epoch: [30][110/118]\tTime 0.613 (0.611)\tLoss 0.0846 (0.0404)\tPrec@1 98.047 (98.642)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.5814 (0.5814)\tPrec@1 85.156 (85.156)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3856 (0.4138)\tPrec@1 88.281 (88.352)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.4003 (0.4088)\tPrec@1 91.016 (88.932)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4106 (0.3990)\tPrec@1 89.844 (89.327)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3270 (0.4089)\tPrec@1 90.625 (89.148)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.4204 (0.4044)\tPrec@1 89.062 (89.170)\n",
      "Test: [60/157]\tTime 0.180 (0.186)\tLoss 0.4767 (0.4083)\tPrec@1 88.281 (89.114)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3821 (0.3989)\tPrec@1 87.109 (89.217)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3902 (0.4007)\tPrec@1 88.672 (89.164)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.6332 (0.4041)\tPrec@1 86.719 (89.191)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3532 (0.4036)\tPrec@1 89.844 (89.217)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3801 (0.4056)\tPrec@1 88.672 (89.224)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3297 (0.4079)\tPrec@1 91.797 (89.201)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2918 (0.4057)\tPrec@1 91.016 (89.224)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3778 (0.4043)\tPrec@1 89.844 (89.262)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.4783 (0.4042)\tPrec@1 90.625 (89.269)\n",
      " * Prec@1 89.230\n",
      "Epoch: [31][0/118]\tTime 0.338 (0.338)\tLoss 0.0353 (0.0353)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [31][10/118]\tTime 0.613 (0.589)\tLoss 0.0212 (0.0433)\tPrec@1 99.609 (98.580)\n",
      "Epoch: [31][20/118]\tTime 0.612 (0.601)\tLoss 0.0410 (0.0441)\tPrec@1 98.828 (98.456)\n",
      "Epoch: [31][30/118]\tTime 0.610 (0.605)\tLoss 0.0358 (0.0405)\tPrec@1 98.828 (98.639)\n",
      "Epoch: [31][40/118]\tTime 0.617 (0.607)\tLoss 0.0196 (0.0390)\tPrec@1 98.828 (98.666)\n",
      "Epoch: [31][50/118]\tTime 0.613 (0.609)\tLoss 0.0190 (0.0366)\tPrec@1 99.219 (98.782)\n",
      "Epoch: [31][60/118]\tTime 0.614 (0.609)\tLoss 0.0139 (0.0356)\tPrec@1 100.000 (98.835)\n",
      "Epoch: [31][70/118]\tTime 0.616 (0.610)\tLoss 0.0129 (0.0344)\tPrec@1 99.609 (98.889)\n",
      "Epoch: [31][80/118]\tTime 0.615 (0.610)\tLoss 0.0348 (0.0333)\tPrec@1 98.828 (98.929)\n",
      "Epoch: [31][90/118]\tTime 0.612 (0.611)\tLoss 0.0478 (0.0328)\tPrec@1 98.438 (98.927)\n",
      "Epoch: [31][100/118]\tTime 0.616 (0.611)\tLoss 0.0607 (0.0337)\tPrec@1 97.656 (98.898)\n",
      "Epoch: [31][110/118]\tTime 0.615 (0.611)\tLoss 0.0282 (0.0358)\tPrec@1 98.828 (98.807)\n",
      "Test: [0/157]\tTime 0.415 (0.415)\tLoss 0.3083 (0.3083)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.203)\tLoss 0.3190 (0.3237)\tPrec@1 91.016 (90.625)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2701 (0.3369)\tPrec@1 91.016 (90.774)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.2536 (0.3315)\tPrec@1 92.188 (90.940)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.4106 (0.3305)\tPrec@1 89.453 (90.939)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3362 (0.3361)\tPrec@1 92.578 (90.893)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.3307 (0.3344)\tPrec@1 91.016 (90.862)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3304 (0.3355)\tPrec@1 89.844 (90.889)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3821 (0.3385)\tPrec@1 88.281 (90.779)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3859 (0.3403)\tPrec@1 90.234 (90.814)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.4039 (0.3378)\tPrec@1 90.234 (90.861)\n",
      "Test: [110/157]\tTime 0.184 (0.184)\tLoss 0.2602 (0.3343)\tPrec@1 92.969 (90.949)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4064 (0.3360)\tPrec@1 89.453 (90.906)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.3955 (0.3356)\tPrec@1 88.281 (90.902)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4373 (0.3377)\tPrec@1 87.500 (90.841)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.4696 (0.3357)\tPrec@1 87.891 (90.879)\n",
      " * Prec@1 90.890\n",
      "Epoch: [32][0/118]\tTime 0.338 (0.338)\tLoss 0.0346 (0.0346)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [32][10/118]\tTime 0.616 (0.589)\tLoss 0.0850 (0.0521)\tPrec@1 96.484 (98.118)\n",
      "Epoch: [32][20/118]\tTime 0.614 (0.601)\tLoss 0.0175 (0.0428)\tPrec@1 99.609 (98.493)\n",
      "Epoch: [32][30/118]\tTime 0.615 (0.606)\tLoss 0.0401 (0.0396)\tPrec@1 98.047 (98.614)\n",
      "Epoch: [32][40/118]\tTime 0.614 (0.608)\tLoss 0.0685 (0.0376)\tPrec@1 97.266 (98.676)\n",
      "Epoch: [32][50/118]\tTime 0.615 (0.609)\tLoss 0.0326 (0.0379)\tPrec@1 99.219 (98.675)\n",
      "Epoch: [32][60/118]\tTime 0.615 (0.610)\tLoss 0.0358 (0.0389)\tPrec@1 99.219 (98.598)\n",
      "Epoch: [32][70/118]\tTime 0.611 (0.611)\tLoss 0.0653 (0.0391)\tPrec@1 97.656 (98.597)\n",
      "Epoch: [32][80/118]\tTime 0.620 (0.611)\tLoss 0.0332 (0.0392)\tPrec@1 98.828 (98.621)\n",
      "Epoch: [32][90/118]\tTime 0.615 (0.612)\tLoss 0.0318 (0.0404)\tPrec@1 98.438 (98.592)\n",
      "Epoch: [32][100/118]\tTime 0.617 (0.612)\tLoss 0.0471 (0.0401)\tPrec@1 97.266 (98.608)\n",
      "Epoch: [32][110/118]\tTime 0.614 (0.612)\tLoss 0.0349 (0.0404)\tPrec@1 99.219 (98.596)\n",
      "Test: [0/157]\tTime 0.399 (0.399)\tLoss 0.2821 (0.2821)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.203)\tLoss 0.3188 (0.3710)\tPrec@1 94.141 (89.737)\n",
      "Test: [20/157]\tTime 0.181 (0.193)\tLoss 0.5714 (0.3901)\tPrec@1 84.766 (89.490)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3191 (0.3911)\tPrec@1 92.188 (89.340)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4044 (0.3947)\tPrec@1 88.672 (89.367)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2639 (0.3942)\tPrec@1 90.625 (89.384)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.1988 (0.3868)\tPrec@1 93.750 (89.588)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3678 (0.3810)\tPrec@1 91.797 (89.684)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4084 (0.3798)\tPrec@1 88.281 (89.757)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3174 (0.3867)\tPrec@1 92.188 (89.616)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3090 (0.3874)\tPrec@1 90.234 (89.542)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.2625 (0.3864)\tPrec@1 92.969 (89.594)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4057 (0.3877)\tPrec@1 89.062 (89.544)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4968 (0.3905)\tPrec@1 87.500 (89.519)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3399 (0.3875)\tPrec@1 89.844 (89.625)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4340 (0.3851)\tPrec@1 88.672 (89.696)\n",
      " * Prec@1 89.695\n",
      "Epoch: [33][0/118]\tTime 0.349 (0.349)\tLoss 0.0219 (0.0219)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [33][10/118]\tTime 0.609 (0.589)\tLoss 0.0701 (0.0643)\tPrec@1 97.266 (97.798)\n",
      "Epoch: [33][20/118]\tTime 0.606 (0.600)\tLoss 0.0706 (0.0651)\tPrec@1 98.438 (97.954)\n",
      "Epoch: [33][30/118]\tTime 0.617 (0.605)\tLoss 0.0220 (0.0581)\tPrec@1 99.219 (98.185)\n",
      "Epoch: [33][40/118]\tTime 0.613 (0.607)\tLoss 0.0672 (0.0554)\tPrec@1 98.438 (98.314)\n",
      "Epoch: [33][50/118]\tTime 0.613 (0.608)\tLoss 0.0510 (0.0538)\tPrec@1 98.047 (98.338)\n",
      "Epoch: [33][60/118]\tTime 0.612 (0.609)\tLoss 0.0369 (0.0501)\tPrec@1 98.828 (98.470)\n",
      "Epoch: [33][70/118]\tTime 0.615 (0.609)\tLoss 0.0568 (0.0490)\tPrec@1 97.656 (98.454)\n",
      "Epoch: [33][80/118]\tTime 0.614 (0.610)\tLoss 0.0573 (0.0505)\tPrec@1 98.438 (98.394)\n",
      "Epoch: [33][90/118]\tTime 0.614 (0.610)\tLoss 0.0421 (0.0500)\tPrec@1 98.828 (98.403)\n",
      "Epoch: [33][100/118]\tTime 0.612 (0.611)\tLoss 0.0319 (0.0496)\tPrec@1 98.438 (98.430)\n",
      "Epoch: [33][110/118]\tTime 0.614 (0.611)\tLoss 0.0666 (0.0500)\tPrec@1 97.656 (98.381)\n",
      "Test: [0/157]\tTime 0.397 (0.397)\tLoss 0.2792 (0.2792)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.181 (0.202)\tLoss 0.4339 (0.4162)\tPrec@1 89.844 (89.062)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.4205 (0.4063)\tPrec@1 90.234 (89.360)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3033 (0.4027)\tPrec@1 91.406 (89.516)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.5677 (0.4111)\tPrec@1 90.234 (89.444)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.3268 (0.4129)\tPrec@1 91.016 (89.392)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3134 (0.4120)\tPrec@1 89.844 (89.395)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3615 (0.4088)\tPrec@1 89.062 (89.409)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4895 (0.4108)\tPrec@1 86.719 (89.376)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3528 (0.4114)\tPrec@1 89.062 (89.402)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.5529 (0.4068)\tPrec@1 87.109 (89.500)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.5775 (0.4081)\tPrec@1 86.719 (89.524)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.7065 (0.4099)\tPrec@1 87.891 (89.502)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3411 (0.4053)\tPrec@1 89.844 (89.534)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2695 (0.4047)\tPrec@1 91.016 (89.547)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.6552 (0.4051)\tPrec@1 84.766 (89.570)\n",
      " * Prec@1 89.570\n",
      "Epoch: [34][0/118]\tTime 0.345 (0.345)\tLoss 0.0288 (0.0288)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [34][10/118]\tTime 0.614 (0.589)\tLoss 0.0976 (0.0554)\tPrec@1 96.484 (98.011)\n",
      "Epoch: [34][20/118]\tTime 0.608 (0.600)\tLoss 0.0518 (0.0511)\tPrec@1 98.047 (98.270)\n",
      "Epoch: [34][30/118]\tTime 0.611 (0.604)\tLoss 0.0315 (0.0496)\tPrec@1 98.828 (98.349)\n",
      "Epoch: [34][40/118]\tTime 0.614 (0.606)\tLoss 0.0808 (0.0492)\tPrec@1 96.094 (98.314)\n",
      "Epoch: [34][50/118]\tTime 0.611 (0.608)\tLoss 0.0233 (0.0472)\tPrec@1 99.609 (98.415)\n",
      "Epoch: [34][60/118]\tTime 0.611 (0.609)\tLoss 0.0346 (0.0477)\tPrec@1 98.828 (98.373)\n",
      "Epoch: [34][70/118]\tTime 0.612 (0.609)\tLoss 0.0375 (0.0461)\tPrec@1 99.219 (98.438)\n",
      "Epoch: [34][80/118]\tTime 0.615 (0.610)\tLoss 0.0183 (0.0434)\tPrec@1 99.609 (98.548)\n",
      "Epoch: [34][90/118]\tTime 0.611 (0.610)\tLoss 0.0285 (0.0432)\tPrec@1 99.219 (98.562)\n",
      "Epoch: [34][100/118]\tTime 0.609 (0.610)\tLoss 0.0398 (0.0425)\tPrec@1 99.219 (98.592)\n",
      "Epoch: [34][110/118]\tTime 0.615 (0.611)\tLoss 0.1000 (0.0436)\tPrec@1 97.266 (98.557)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.3473 (0.3473)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3054 (0.4058)\tPrec@1 92.188 (88.281)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.5376 (0.4054)\tPrec@1 87.109 (88.337)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4879 (0.4102)\tPrec@1 85.547 (88.420)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.4638 (0.4085)\tPrec@1 88.281 (88.491)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3176 (0.4054)\tPrec@1 90.234 (88.580)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4636 (0.4047)\tPrec@1 89.062 (88.576)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.5115 (0.4046)\tPrec@1 87.500 (88.584)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.4757 (0.4047)\tPrec@1 86.328 (88.571)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.5193 (0.4118)\tPrec@1 87.500 (88.492)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3527 (0.4096)\tPrec@1 90.625 (88.537)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3319 (0.4085)\tPrec@1 90.234 (88.563)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3099 (0.4114)\tPrec@1 89.453 (88.514)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.4359 (0.4089)\tPrec@1 89.062 (88.573)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3575 (0.4083)\tPrec@1 90.625 (88.589)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4766 (0.4079)\tPrec@1 86.328 (88.594)\n",
      " * Prec@1 88.615\n",
      "Epoch: [35][0/118]\tTime 0.350 (0.350)\tLoss 0.0218 (0.0218)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [35][10/118]\tTime 0.615 (0.590)\tLoss 0.0295 (0.0348)\tPrec@1 99.219 (98.828)\n",
      "Epoch: [35][20/118]\tTime 0.611 (0.601)\tLoss 0.0192 (0.0321)\tPrec@1 99.219 (98.977)\n",
      "Epoch: [35][30/118]\tTime 0.615 (0.605)\tLoss 0.0221 (0.0302)\tPrec@1 99.219 (99.105)\n",
      "Epoch: [35][40/118]\tTime 0.616 (0.607)\tLoss 0.0177 (0.0300)\tPrec@1 99.219 (99.104)\n",
      "Epoch: [35][50/118]\tTime 0.612 (0.608)\tLoss 0.0203 (0.0281)\tPrec@1 99.219 (99.165)\n",
      "Epoch: [35][60/118]\tTime 0.611 (0.609)\tLoss 0.0261 (0.0258)\tPrec@1 99.219 (99.238)\n",
      "Epoch: [35][70/118]\tTime 0.614 (0.609)\tLoss 0.0124 (0.0249)\tPrec@1 99.609 (99.263)\n",
      "Epoch: [35][80/118]\tTime 0.609 (0.610)\tLoss 0.0236 (0.0242)\tPrec@1 99.219 (99.286)\n",
      "Epoch: [35][90/118]\tTime 0.614 (0.610)\tLoss 0.0375 (0.0242)\tPrec@1 98.438 (99.275)\n",
      "Epoch: [35][100/118]\tTime 0.611 (0.610)\tLoss 0.0839 (0.0252)\tPrec@1 97.266 (99.238)\n",
      "Epoch: [35][110/118]\tTime 0.610 (0.611)\tLoss 0.0305 (0.0255)\tPrec@1 98.828 (99.222)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.2901 (0.2901)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3774 (0.4022)\tPrec@1 91.797 (89.631)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3816 (0.4020)\tPrec@1 90.625 (89.993)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.3900 (0.3936)\tPrec@1 91.016 (90.108)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2783 (0.3997)\tPrec@1 92.578 (90.072)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3687 (0.3904)\tPrec@1 89.453 (90.250)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4202 (0.3910)\tPrec@1 89.453 (90.222)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2660 (0.3912)\tPrec@1 92.188 (90.284)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.4015 (0.3913)\tPrec@1 89.844 (90.302)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3993 (0.3906)\tPrec@1 91.406 (90.333)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3404 (0.3890)\tPrec@1 89.844 (90.312)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.5230 (0.3916)\tPrec@1 87.500 (90.294)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.5968 (0.3920)\tPrec@1 89.062 (90.338)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3846 (0.3948)\tPrec@1 92.188 (90.279)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4124 (0.3954)\tPrec@1 88.281 (90.237)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3898 (0.3918)\tPrec@1 90.234 (90.281)\n",
      " * Prec@1 90.302\n",
      "Epoch: [36][0/118]\tTime 0.344 (0.344)\tLoss 0.0209 (0.0209)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [36][10/118]\tTime 0.611 (0.589)\tLoss 0.0248 (0.0253)\tPrec@1 99.219 (99.077)\n",
      "Epoch: [36][20/118]\tTime 0.610 (0.600)\tLoss 0.0282 (0.0249)\tPrec@1 98.438 (99.107)\n",
      "Epoch: [36][30/118]\tTime 0.609 (0.605)\tLoss 0.0297 (0.0248)\tPrec@1 98.438 (99.118)\n",
      "Epoch: [36][40/118]\tTime 0.613 (0.607)\tLoss 0.0225 (0.0251)\tPrec@1 99.609 (99.133)\n",
      "Epoch: [36][50/118]\tTime 0.610 (0.608)\tLoss 0.0315 (0.0259)\tPrec@1 99.219 (99.127)\n",
      "Epoch: [36][60/118]\tTime 0.617 (0.609)\tLoss 0.0215 (0.0258)\tPrec@1 99.609 (99.161)\n",
      "Epoch: [36][70/118]\tTime 0.613 (0.609)\tLoss 0.0158 (0.0259)\tPrec@1 99.609 (99.175)\n",
      "Epoch: [36][80/118]\tTime 0.611 (0.610)\tLoss 0.0408 (0.0267)\tPrec@1 98.438 (99.142)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [36][90/118]\tTime 0.614 (0.610)\tLoss 0.0204 (0.0272)\tPrec@1 99.219 (99.124)\n",
      "Epoch: [36][100/118]\tTime 0.613 (0.610)\tLoss 0.0264 (0.0281)\tPrec@1 99.219 (99.099)\n",
      "Epoch: [36][110/118]\tTime 0.614 (0.611)\tLoss 0.0277 (0.0287)\tPrec@1 99.219 (99.085)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.7083 (0.7083)\tPrec@1 83.203 (83.203)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.4507 (0.6084)\tPrec@1 90.234 (86.861)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.5007 (0.6050)\tPrec@1 87.891 (86.663)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.6381 (0.6063)\tPrec@1 85.938 (86.668)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.6390 (0.6017)\tPrec@1 88.281 (86.919)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4895 (0.5954)\tPrec@1 88.672 (86.979)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.5965 (0.5959)\tPrec@1 86.328 (86.917)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.7355 (0.6003)\tPrec@1 87.500 (86.884)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3707 (0.5982)\tPrec@1 92.578 (86.912)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.5388 (0.5944)\tPrec@1 88.281 (86.946)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.4500 (0.5901)\tPrec@1 89.844 (87.017)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.5623 (0.5963)\tPrec@1 87.500 (86.979)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.6403 (0.6000)\tPrec@1 86.328 (86.922)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.7315 (0.5988)\tPrec@1 85.156 (87.008)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4858 (0.6030)\tPrec@1 86.719 (86.929)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4540 (0.6023)\tPrec@1 88.281 (86.913)\n",
      " * Prec@1 86.897\n",
      "Epoch: [37][0/118]\tTime 0.339 (0.339)\tLoss 0.0202 (0.0202)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [37][10/118]\tTime 0.613 (0.587)\tLoss 0.0400 (0.0322)\tPrec@1 99.219 (99.041)\n",
      "Epoch: [37][20/118]\tTime 0.616 (0.600)\tLoss 0.0298 (0.0315)\tPrec@1 98.438 (99.070)\n",
      "Epoch: [37][30/118]\tTime 0.612 (0.604)\tLoss 0.0389 (0.0321)\tPrec@1 99.219 (98.992)\n",
      "Epoch: [37][40/118]\tTime 0.611 (0.606)\tLoss 0.0393 (0.0326)\tPrec@1 99.219 (98.971)\n",
      "Epoch: [37][50/118]\tTime 0.614 (0.608)\tLoss 0.0241 (0.0324)\tPrec@1 98.828 (98.966)\n",
      "Epoch: [37][60/118]\tTime 0.614 (0.609)\tLoss 0.0485 (0.0326)\tPrec@1 98.438 (98.937)\n",
      "Epoch: [37][70/118]\tTime 0.615 (0.609)\tLoss 0.0408 (0.0333)\tPrec@1 98.828 (98.894)\n",
      "Epoch: [37][80/118]\tTime 0.613 (0.610)\tLoss 0.0162 (0.0333)\tPrec@1 99.609 (98.905)\n",
      "Epoch: [37][90/118]\tTime 0.615 (0.610)\tLoss 0.0580 (0.0350)\tPrec@1 98.047 (98.850)\n",
      "Epoch: [37][100/118]\tTime 0.612 (0.610)\tLoss 0.0289 (0.0352)\tPrec@1 98.438 (98.840)\n",
      "Epoch: [37][110/118]\tTime 0.616 (0.611)\tLoss 0.0427 (0.0358)\tPrec@1 98.047 (98.811)\n",
      "Test: [0/157]\tTime 0.386 (0.386)\tLoss 0.2760 (0.2760)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.5168 (0.4190)\tPrec@1 88.281 (88.991)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3269 (0.4406)\tPrec@1 89.453 (88.560)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.4927 (0.4433)\tPrec@1 86.328 (88.395)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3544 (0.4278)\tPrec@1 90.234 (88.767)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4569 (0.4286)\tPrec@1 89.453 (88.794)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3509 (0.4321)\tPrec@1 89.844 (88.787)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.5222 (0.4343)\tPrec@1 85.156 (88.765)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4921 (0.4342)\tPrec@1 90.625 (88.764)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3442 (0.4367)\tPrec@1 88.672 (88.638)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3074 (0.4351)\tPrec@1 91.016 (88.672)\n",
      "Test: [110/157]\tTime 0.184 (0.185)\tLoss 0.3996 (0.4371)\tPrec@1 89.844 (88.616)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.5139 (0.4371)\tPrec@1 86.719 (88.620)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3885 (0.4378)\tPrec@1 90.234 (88.618)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4021 (0.4389)\tPrec@1 90.625 (88.600)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.6353 (0.4398)\tPrec@1 85.547 (88.602)\n",
      " * Prec@1 88.625\n",
      "Epoch: [38][0/118]\tTime 0.337 (0.337)\tLoss 0.0270 (0.0270)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [38][10/118]\tTime 0.618 (0.589)\tLoss 0.0445 (0.0609)\tPrec@1 99.219 (98.011)\n",
      "Epoch: [38][20/118]\tTime 0.608 (0.601)\tLoss 0.0220 (0.0583)\tPrec@1 99.609 (98.140)\n",
      "Epoch: [38][30/118]\tTime 0.614 (0.606)\tLoss 0.0545 (0.0554)\tPrec@1 98.828 (98.236)\n",
      "Epoch: [38][40/118]\tTime 0.615 (0.608)\tLoss 0.0325 (0.0508)\tPrec@1 98.828 (98.418)\n",
      "Epoch: [38][50/118]\tTime 0.611 (0.609)\tLoss 0.0255 (0.0468)\tPrec@1 99.219 (98.560)\n",
      "Epoch: [38][60/118]\tTime 0.615 (0.610)\tLoss 0.0348 (0.0462)\tPrec@1 99.219 (98.591)\n",
      "Epoch: [38][70/118]\tTime 0.617 (0.611)\tLoss 0.0216 (0.0432)\tPrec@1 99.219 (98.696)\n",
      "Epoch: [38][80/118]\tTime 0.615 (0.611)\tLoss 0.0229 (0.0425)\tPrec@1 99.219 (98.703)\n",
      "Epoch: [38][90/118]\tTime 0.612 (0.612)\tLoss 0.0438 (0.0412)\tPrec@1 98.438 (98.721)\n",
      "Epoch: [38][100/118]\tTime 0.616 (0.612)\tLoss 0.0496 (0.0407)\tPrec@1 98.828 (98.716)\n",
      "Epoch: [38][110/118]\tTime 0.615 (0.612)\tLoss 0.0445 (0.0400)\tPrec@1 98.828 (98.751)\n",
      "Test: [0/157]\tTime 0.394 (0.394)\tLoss 0.5048 (0.5048)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.184 (0.202)\tLoss 0.3895 (0.3987)\tPrec@1 89.844 (89.311)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.4409 (0.4046)\tPrec@1 87.109 (89.379)\n",
      "Test: [30/157]\tTime 0.184 (0.189)\tLoss 0.4720 (0.4074)\tPrec@1 88.281 (89.478)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2794 (0.4057)\tPrec@1 92.188 (89.491)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3644 (0.4034)\tPrec@1 88.281 (89.530)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4366 (0.4051)\tPrec@1 86.328 (89.492)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.4179 (0.4098)\tPrec@1 89.062 (89.497)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3866 (0.4174)\tPrec@1 90.625 (89.294)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.2549 (0.4116)\tPrec@1 91.406 (89.380)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.4174 (0.4097)\tPrec@1 91.016 (89.426)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3599 (0.4086)\tPrec@1 89.453 (89.481)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.4515 (0.4109)\tPrec@1 87.109 (89.443)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4272 (0.4125)\tPrec@1 91.016 (89.402)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4632 (0.4109)\tPrec@1 89.062 (89.412)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3923 (0.4072)\tPrec@1 90.234 (89.476)\n",
      " * Prec@1 89.502\n",
      "Epoch: [39][0/118]\tTime 0.342 (0.342)\tLoss 0.0157 (0.0157)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [39][10/118]\tTime 0.611 (0.590)\tLoss 0.0396 (0.0544)\tPrec@1 98.438 (98.402)\n",
      "Epoch: [39][20/118]\tTime 0.617 (0.602)\tLoss 0.1064 (0.0465)\tPrec@1 96.875 (98.679)\n",
      "Epoch: [39][30/118]\tTime 0.616 (0.606)\tLoss 0.0475 (0.0471)\tPrec@1 98.828 (98.639)\n",
      "Epoch: [39][40/118]\tTime 0.614 (0.608)\tLoss 0.0233 (0.0467)\tPrec@1 99.609 (98.628)\n",
      "Epoch: [39][50/118]\tTime 0.614 (0.610)\tLoss 0.0299 (0.0455)\tPrec@1 99.609 (98.644)\n",
      "Epoch: [39][60/118]\tTime 0.613 (0.610)\tLoss 0.0129 (0.0436)\tPrec@1 100.000 (98.681)\n",
      "Epoch: [39][70/118]\tTime 0.616 (0.611)\tLoss 0.0279 (0.0422)\tPrec@1 99.609 (98.724)\n",
      "Epoch: [39][80/118]\tTime 0.613 (0.611)\tLoss 0.0155 (0.0410)\tPrec@1 100.000 (98.785)\n",
      "Epoch: [39][90/118]\tTime 0.619 (0.612)\tLoss 0.0394 (0.0397)\tPrec@1 98.047 (98.815)\n",
      "Epoch: [39][100/118]\tTime 0.614 (0.612)\tLoss 0.0259 (0.0396)\tPrec@1 99.609 (98.809)\n",
      "Epoch: [39][110/118]\tTime 0.615 (0.612)\tLoss 0.0161 (0.0393)\tPrec@1 99.609 (98.782)\n",
      "Test: [0/157]\tTime 0.372 (0.372)\tLoss 0.5434 (0.5434)\tPrec@1 85.156 (85.156)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.3679 (0.3504)\tPrec@1 91.016 (90.057)\n",
      "Test: [20/157]\tTime 0.182 (0.191)\tLoss 0.3786 (0.3525)\tPrec@1 92.188 (90.439)\n",
      "Test: [30/157]\tTime 0.183 (0.188)\tLoss 0.4071 (0.3509)\tPrec@1 91.016 (90.663)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.1948 (0.3448)\tPrec@1 94.141 (90.692)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3384 (0.3420)\tPrec@1 89.844 (90.717)\n",
      "Test: [60/157]\tTime 0.182 (0.185)\tLoss 0.3704 (0.3393)\tPrec@1 91.797 (90.753)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.2540 (0.3343)\tPrec@1 91.797 (90.873)\n",
      "Test: [80/157]\tTime 0.182 (0.184)\tLoss 0.2920 (0.3356)\tPrec@1 92.188 (90.847)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.5066 (0.3344)\tPrec@1 87.891 (90.891)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.4700 (0.3386)\tPrec@1 88.281 (90.888)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2023 (0.3366)\tPrec@1 95.312 (90.857)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4055 (0.3391)\tPrec@1 90.625 (90.828)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3135 (0.3404)\tPrec@1 90.234 (90.816)\n",
      "Test: [140/157]\tTime 0.183 (0.183)\tLoss 0.2576 (0.3437)\tPrec@1 92.969 (90.741)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.2859 (0.3432)\tPrec@1 92.969 (90.770)\n",
      " * Prec@1 90.748\n",
      "Epoch: [40][0/118]\tTime 0.345 (0.345)\tLoss 0.0229 (0.0229)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [40][10/118]\tTime 0.615 (0.588)\tLoss 0.0692 (0.0541)\tPrec@1 96.875 (98.260)\n",
      "Epoch: [40][20/118]\tTime 0.609 (0.600)\tLoss 0.0561 (0.0496)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [40][30/118]\tTime 0.616 (0.604)\tLoss 0.0160 (0.0480)\tPrec@1 99.609 (98.463)\n",
      "Epoch: [40][40/118]\tTime 0.609 (0.606)\tLoss 0.0418 (0.0455)\tPrec@1 98.828 (98.533)\n",
      "Epoch: [40][50/118]\tTime 0.616 (0.608)\tLoss 0.0280 (0.0410)\tPrec@1 98.828 (98.690)\n",
      "Epoch: [40][60/118]\tTime 0.615 (0.609)\tLoss 0.0143 (0.0390)\tPrec@1 100.000 (98.796)\n",
      "Epoch: [40][70/118]\tTime 0.614 (0.609)\tLoss 0.0147 (0.0383)\tPrec@1 99.609 (98.790)\n",
      "Epoch: [40][80/118]\tTime 0.615 (0.610)\tLoss 0.0461 (0.0381)\tPrec@1 97.656 (98.790)\n",
      "Epoch: [40][90/118]\tTime 0.611 (0.611)\tLoss 0.0468 (0.0378)\tPrec@1 98.828 (98.798)\n",
      "Epoch: [40][100/118]\tTime 0.611 (0.611)\tLoss 0.0356 (0.0375)\tPrec@1 99.219 (98.809)\n",
      "Epoch: [40][110/118]\tTime 0.609 (0.611)\tLoss 0.0345 (0.0367)\tPrec@1 98.828 (98.828)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.4348 (0.4348)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3903 (0.4638)\tPrec@1 91.016 (87.180)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.4398 (0.4730)\tPrec@1 86.328 (87.016)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.4268 (0.4747)\tPrec@1 88.672 (87.034)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.5212 (0.4828)\tPrec@1 85.938 (86.890)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3602 (0.4808)\tPrec@1 90.625 (86.979)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4275 (0.4906)\tPrec@1 87.109 (86.732)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3281 (0.4852)\tPrec@1 91.406 (86.966)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3904 (0.4808)\tPrec@1 89.062 (87.061)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.8304 (0.4889)\tPrec@1 80.859 (86.946)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.4255 (0.4891)\tPrec@1 88.672 (86.993)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4880 (0.4901)\tPrec@1 89.844 (87.004)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.5605 (0.4936)\tPrec@1 86.719 (86.919)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5942 (0.4931)\tPrec@1 83.984 (86.883)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4236 (0.4921)\tPrec@1 85.156 (86.841)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.5133 (0.4927)\tPrec@1 85.547 (86.838)\n",
      " * Prec@1 86.862\n",
      "Epoch: [41][0/118]\tTime 0.342 (0.342)\tLoss 0.0329 (0.0329)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [41][10/118]\tTime 0.613 (0.590)\tLoss 0.0542 (0.0338)\tPrec@1 98.828 (98.899)\n",
      "Epoch: [41][20/118]\tTime 0.614 (0.602)\tLoss 0.0134 (0.0275)\tPrec@1 99.609 (99.126)\n",
      "Epoch: [41][30/118]\tTime 0.615 (0.606)\tLoss 0.0292 (0.0248)\tPrec@1 98.828 (99.219)\n",
      "Epoch: [41][40/118]\tTime 0.616 (0.608)\tLoss 0.0066 (0.0248)\tPrec@1 100.000 (99.209)\n",
      "Epoch: [41][50/118]\tTime 0.617 (0.610)\tLoss 0.0365 (0.0241)\tPrec@1 98.438 (99.226)\n",
      "Epoch: [41][60/118]\tTime 0.615 (0.610)\tLoss 0.0283 (0.0236)\tPrec@1 98.828 (99.232)\n",
      "Epoch: [41][70/118]\tTime 0.616 (0.611)\tLoss 0.0339 (0.0239)\tPrec@1 98.047 (99.208)\n",
      "Epoch: [41][80/118]\tTime 0.615 (0.611)\tLoss 0.0320 (0.0240)\tPrec@1 98.828 (99.195)\n",
      "Epoch: [41][90/118]\tTime 0.616 (0.612)\tLoss 0.0515 (0.0250)\tPrec@1 98.438 (99.146)\n",
      "Epoch: [41][100/118]\tTime 0.615 (0.612)\tLoss 0.0539 (0.0258)\tPrec@1 98.828 (99.122)\n",
      "Epoch: [41][110/118]\tTime 0.615 (0.612)\tLoss 0.0291 (0.0254)\tPrec@1 98.828 (99.127)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.3763 (0.3763)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3190 (0.3960)\tPrec@1 92.578 (90.199)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3303 (0.3966)\tPrec@1 91.797 (90.588)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3870 (0.3994)\tPrec@1 91.406 (90.575)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4241 (0.4000)\tPrec@1 88.281 (90.596)\n",
      "Test: [50/157]\tTime 0.181 (0.187)\tLoss 0.4517 (0.3956)\tPrec@1 89.844 (90.732)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2325 (0.3921)\tPrec@1 91.797 (90.734)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4502 (0.4041)\tPrec@1 89.844 (90.636)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4157 (0.4061)\tPrec@1 92.188 (90.659)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4883 (0.4108)\tPrec@1 89.062 (90.565)\n",
      "Test: [100/157]\tTime 0.181 (0.185)\tLoss 0.4416 (0.4142)\tPrec@1 89.844 (90.521)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.5077 (0.4170)\tPrec@1 88.281 (90.446)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4140 (0.4153)\tPrec@1 89.844 (90.457)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3763 (0.4162)\tPrec@1 92.188 (90.431)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4958 (0.4199)\tPrec@1 85.938 (90.395)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3319 (0.4210)\tPrec@1 93.750 (90.421)\n",
      " * Prec@1 90.450\n",
      "Epoch: [42][0/118]\tTime 0.343 (0.343)\tLoss 0.0079 (0.0079)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [42][10/118]\tTime 0.618 (0.590)\tLoss 0.0442 (0.0402)\tPrec@1 98.438 (98.615)\n",
      "Epoch: [42][20/118]\tTime 0.615 (0.602)\tLoss 0.0457 (0.0448)\tPrec@1 98.438 (98.531)\n",
      "Epoch: [42][30/118]\tTime 0.616 (0.606)\tLoss 0.0350 (0.0467)\tPrec@1 98.438 (98.475)\n",
      "Epoch: [42][40/118]\tTime 0.612 (0.608)\tLoss 0.0250 (0.0463)\tPrec@1 99.219 (98.542)\n",
      "Epoch: [42][50/118]\tTime 0.608 (0.610)\tLoss 0.0209 (0.0432)\tPrec@1 99.609 (98.652)\n",
      "Epoch: [42][60/118]\tTime 0.622 (0.610)\tLoss 0.0435 (0.0422)\tPrec@1 98.828 (98.687)\n",
      "Epoch: [42][70/118]\tTime 0.613 (0.611)\tLoss 0.0923 (0.0409)\tPrec@1 97.266 (98.724)\n",
      "Epoch: [42][80/118]\tTime 0.616 (0.611)\tLoss 0.0180 (0.0390)\tPrec@1 99.609 (98.809)\n",
      "Epoch: [42][90/118]\tTime 0.614 (0.612)\tLoss 0.0309 (0.0385)\tPrec@1 99.219 (98.815)\n",
      "Epoch: [42][100/118]\tTime 0.614 (0.612)\tLoss 0.0205 (0.0373)\tPrec@1 99.219 (98.863)\n",
      "Epoch: [42][110/118]\tTime 0.612 (0.612)\tLoss 0.0343 (0.0371)\tPrec@1 98.438 (98.849)\n",
      "Test: [0/157]\tTime 0.408 (0.408)\tLoss 0.4650 (0.4650)\tPrec@1 86.719 (86.719)\n",
      "Test: [10/157]\tTime 0.184 (0.203)\tLoss 0.2315 (0.3326)\tPrec@1 92.969 (90.767)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.4312 (0.3432)\tPrec@1 88.672 (90.699)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3351 (0.3405)\tPrec@1 92.578 (90.751)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.3822 (0.3301)\tPrec@1 91.406 (90.825)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3793 (0.3385)\tPrec@1 89.062 (90.717)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2325 (0.3422)\tPrec@1 92.188 (90.542)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3440 (0.3406)\tPrec@1 90.625 (90.575)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2332 (0.3394)\tPrec@1 94.922 (90.668)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2593 (0.3402)\tPrec@1 91.406 (90.638)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2958 (0.3361)\tPrec@1 91.016 (90.691)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3796 (0.3377)\tPrec@1 90.234 (90.657)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3096 (0.3380)\tPrec@1 92.188 (90.683)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3299 (0.3368)\tPrec@1 90.234 (90.732)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3044 (0.3353)\tPrec@1 91.406 (90.758)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3722 (0.3351)\tPrec@1 89.062 (90.752)\n",
      " * Prec@1 90.805\n",
      "Epoch: [43][0/118]\tTime 0.338 (0.338)\tLoss 0.0254 (0.0254)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [43][10/118]\tTime 0.610 (0.588)\tLoss 0.0633 (0.0384)\tPrec@1 97.656 (98.722)\n",
      "Epoch: [43][20/118]\tTime 0.610 (0.600)\tLoss 0.0502 (0.0430)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [43][30/118]\tTime 0.614 (0.604)\tLoss 0.0342 (0.0416)\tPrec@1 98.828 (98.589)\n",
      "Epoch: [43][40/118]\tTime 0.617 (0.606)\tLoss 0.0697 (0.0389)\tPrec@1 97.266 (98.704)\n",
      "Epoch: [43][50/118]\tTime 0.615 (0.608)\tLoss 0.0398 (0.0360)\tPrec@1 98.828 (98.851)\n",
      "Epoch: [43][60/118]\tTime 0.612 (0.609)\tLoss 0.0088 (0.0334)\tPrec@1 99.609 (98.937)\n",
      "Epoch: [43][70/118]\tTime 0.613 (0.609)\tLoss 0.0285 (0.0330)\tPrec@1 98.438 (98.933)\n",
      "Epoch: [43][80/118]\tTime 0.614 (0.610)\tLoss 0.0076 (0.0320)\tPrec@1 100.000 (98.968)\n",
      "Epoch: [43][90/118]\tTime 0.612 (0.610)\tLoss 0.0568 (0.0320)\tPrec@1 98.047 (98.970)\n",
      "Epoch: [43][100/118]\tTime 0.615 (0.610)\tLoss 0.0178 (0.0327)\tPrec@1 99.219 (98.948)\n",
      "Epoch: [43][110/118]\tTime 0.611 (0.611)\tLoss 0.0384 (0.0332)\tPrec@1 98.438 (98.934)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.5701 (0.5701)\tPrec@1 87.109 (87.109)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.5978 (0.5565)\tPrec@1 85.938 (86.932)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3922 (0.5144)\tPrec@1 91.797 (88.039)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4025 (0.4942)\tPrec@1 90.234 (88.571)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.5296 (0.4942)\tPrec@1 87.891 (88.491)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.4359 (0.4905)\tPrec@1 89.062 (88.549)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.6797 (0.4881)\tPrec@1 84.375 (88.486)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.5010 (0.4900)\tPrec@1 86.719 (88.325)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3661 (0.4922)\tPrec@1 88.672 (88.267)\n",
      "Test: [90/157]\tTime 0.181 (0.184)\tLoss 0.5291 (0.4942)\tPrec@1 87.500 (88.255)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.4025 (0.4897)\tPrec@1 90.625 (88.339)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.4484 (0.4847)\tPrec@1 90.234 (88.489)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.6220 (0.4906)\tPrec@1 86.328 (88.414)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.6824 (0.4883)\tPrec@1 83.203 (88.448)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4691 (0.4896)\tPrec@1 86.328 (88.353)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4239 (0.4872)\tPrec@1 91.016 (88.403)\n",
      " * Prec@1 88.418\n",
      "Epoch: [44][0/118]\tTime 0.342 (0.342)\tLoss 0.0236 (0.0236)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [44][10/118]\tTime 0.610 (0.588)\tLoss 0.0371 (0.0469)\tPrec@1 99.219 (98.366)\n",
      "Epoch: [44][20/118]\tTime 0.613 (0.600)\tLoss 0.0351 (0.0434)\tPrec@1 99.219 (98.605)\n",
      "Epoch: [44][30/118]\tTime 0.613 (0.604)\tLoss 0.0180 (0.0398)\tPrec@1 100.000 (98.828)\n",
      "Epoch: [44][40/118]\tTime 0.612 (0.606)\tLoss 0.0128 (0.0392)\tPrec@1 100.000 (98.828)\n",
      "Epoch: [44][50/118]\tTime 0.613 (0.608)\tLoss 0.0298 (0.0382)\tPrec@1 99.219 (98.866)\n",
      "Epoch: [44][60/118]\tTime 0.617 (0.609)\tLoss 0.0280 (0.0374)\tPrec@1 98.828 (98.873)\n",
      "Epoch: [44][70/118]\tTime 0.616 (0.609)\tLoss 0.0350 (0.0363)\tPrec@1 98.828 (98.872)\n",
      "Epoch: [44][80/118]\tTime 0.614 (0.610)\tLoss 0.0650 (0.0371)\tPrec@1 96.875 (98.862)\n",
      "Epoch: [44][90/118]\tTime 0.606 (0.610)\tLoss 0.0409 (0.0369)\tPrec@1 98.828 (98.862)\n",
      "Epoch: [44][100/118]\tTime 0.612 (0.610)\tLoss 0.0876 (0.0373)\tPrec@1 97.656 (98.844)\n",
      "Epoch: [44][110/118]\tTime 0.615 (0.611)\tLoss 0.1134 (0.0379)\tPrec@1 96.484 (98.807)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.5230 (0.5230)\tPrec@1 86.328 (86.328)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.5788 (0.6182)\tPrec@1 84.375 (85.298)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.5741 (0.5850)\tPrec@1 87.500 (85.770)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4498 (0.5737)\tPrec@1 87.891 (85.799)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.6088 (0.5589)\tPrec@1 86.328 (86.185)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.4999 (0.5557)\tPrec@1 88.281 (86.229)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.4682 (0.5512)\tPrec@1 88.672 (86.411)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4638 (0.5484)\tPrec@1 87.109 (86.554)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4726 (0.5486)\tPrec@1 87.109 (86.535)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.5586 (0.5530)\tPrec@1 85.938 (86.474)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.4620 (0.5546)\tPrec@1 87.500 (86.405)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3999 (0.5525)\tPrec@1 89.844 (86.476)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.5369 (0.5559)\tPrec@1 86.328 (86.389)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4667 (0.5539)\tPrec@1 87.109 (86.391)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4668 (0.5520)\tPrec@1 87.891 (86.406)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.5715 (0.5527)\tPrec@1 82.031 (86.351)\n",
      " * Prec@1 86.350\n",
      "Epoch: [45][0/118]\tTime 0.339 (0.339)\tLoss 0.0725 (0.0725)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [45][10/118]\tTime 0.615 (0.587)\tLoss 0.1193 (0.0749)\tPrec@1 96.094 (97.585)\n",
      "Epoch: [45][20/118]\tTime 0.609 (0.599)\tLoss 0.0443 (0.0859)\tPrec@1 98.828 (97.247)\n",
      "Epoch: [45][30/118]\tTime 0.617 (0.604)\tLoss 0.1019 (0.0810)\tPrec@1 96.875 (97.379)\n",
      "Epoch: [45][40/118]\tTime 0.611 (0.606)\tLoss 0.0401 (0.0729)\tPrec@1 98.828 (97.609)\n",
      "Epoch: [45][50/118]\tTime 0.613 (0.607)\tLoss 0.0214 (0.0659)\tPrec@1 99.219 (97.848)\n",
      "Epoch: [45][60/118]\tTime 0.614 (0.608)\tLoss 0.0306 (0.0607)\tPrec@1 99.219 (97.996)\n",
      "Epoch: [45][70/118]\tTime 0.616 (0.609)\tLoss 0.0279 (0.0554)\tPrec@1 99.219 (98.201)\n",
      "Epoch: [45][80/118]\tTime 0.610 (0.609)\tLoss 0.0309 (0.0525)\tPrec@1 98.438 (98.283)\n",
      "Epoch: [45][90/118]\tTime 0.618 (0.610)\tLoss 0.0463 (0.0520)\tPrec@1 98.828 (98.296)\n",
      "Epoch: [45][100/118]\tTime 0.615 (0.610)\tLoss 0.0278 (0.0505)\tPrec@1 99.219 (98.349)\n",
      "Epoch: [45][110/118]\tTime 0.611 (0.610)\tLoss 0.0463 (0.0495)\tPrec@1 98.047 (98.360)\n",
      "Test: [0/157]\tTime 0.372 (0.372)\tLoss 0.3298 (0.3298)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.182 (0.199)\tLoss 0.4903 (0.4442)\tPrec@1 86.328 (88.636)\n",
      "Test: [20/157]\tTime 0.183 (0.191)\tLoss 0.4924 (0.4620)\tPrec@1 88.281 (88.430)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.4425 (0.4660)\tPrec@1 87.109 (88.445)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3877 (0.4697)\tPrec@1 90.234 (88.377)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3760 (0.4767)\tPrec@1 89.844 (88.220)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.2465 (0.4703)\tPrec@1 94.141 (88.332)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.5429 (0.4709)\tPrec@1 85.156 (88.243)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.5989 (0.4704)\tPrec@1 86.719 (88.219)\n",
      "Test: [90/157]\tTime 0.184 (0.184)\tLoss 0.4153 (0.4720)\tPrec@1 88.672 (88.217)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.4665 (0.4692)\tPrec@1 89.453 (88.262)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.5283 (0.4709)\tPrec@1 86.719 (88.197)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4558 (0.4713)\tPrec@1 88.281 (88.243)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5735 (0.4718)\tPrec@1 83.984 (88.174)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4142 (0.4722)\tPrec@1 90.625 (88.201)\n",
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.5126 (0.4720)\tPrec@1 87.500 (88.167)\n",
      " * Prec@1 88.155\n",
      "Epoch: [46][0/118]\tTime 0.348 (0.348)\tLoss 0.0287 (0.0287)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [46][10/118]\tTime 0.608 (0.588)\tLoss 0.0373 (0.0253)\tPrec@1 99.219 (99.254)\n",
      "Epoch: [46][20/118]\tTime 0.617 (0.600)\tLoss 0.0240 (0.0242)\tPrec@1 99.219 (99.293)\n",
      "Epoch: [46][30/118]\tTime 0.617 (0.604)\tLoss 0.0127 (0.0219)\tPrec@1 99.609 (99.370)\n",
      "Epoch: [46][40/118]\tTime 0.612 (0.606)\tLoss 0.0182 (0.0221)\tPrec@1 98.828 (99.304)\n",
      "Epoch: [46][50/118]\tTime 0.615 (0.608)\tLoss 0.0108 (0.0211)\tPrec@1 100.000 (99.372)\n",
      "Epoch: [46][60/118]\tTime 0.621 (0.609)\tLoss 0.0429 (0.0209)\tPrec@1 98.047 (99.347)\n",
      "Epoch: [46][70/118]\tTime 0.613 (0.609)\tLoss 0.0271 (0.0217)\tPrec@1 98.828 (99.323)\n",
      "Epoch: [46][80/118]\tTime 0.615 (0.610)\tLoss 0.0711 (0.0235)\tPrec@1 98.047 (99.257)\n",
      "Epoch: [46][90/118]\tTime 0.612 (0.610)\tLoss 0.0319 (0.0236)\tPrec@1 98.828 (99.262)\n",
      "Epoch: [46][100/118]\tTime 0.614 (0.611)\tLoss 0.0195 (0.0245)\tPrec@1 99.609 (99.230)\n",
      "Epoch: [46][110/118]\tTime 0.613 (0.611)\tLoss 0.0590 (0.0255)\tPrec@1 98.438 (99.208)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.7649 (0.7649)\tPrec@1 83.594 (83.594)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.5594 (0.6579)\tPrec@1 87.891 (85.724)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4626 (0.6390)\tPrec@1 89.062 (86.142)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.6400 (0.6536)\tPrec@1 85.156 (86.101)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.5166 (0.6510)\tPrec@1 88.281 (86.004)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.6137 (0.6389)\tPrec@1 87.891 (86.068)\n",
      "Test: [60/157]\tTime 0.182 (0.185)\tLoss 0.6268 (0.6488)\tPrec@1 86.719 (86.078)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.5420 (0.6425)\tPrec@1 88.672 (86.235)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.7030 (0.6491)\tPrec@1 84.766 (86.126)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.5432 (0.6461)\tPrec@1 87.500 (86.208)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.7384 (0.6430)\tPrec@1 84.375 (86.239)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.6008 (0.6380)\tPrec@1 86.719 (86.349)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.5884 (0.6372)\tPrec@1 86.719 (86.293)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.5106 (0.6333)\tPrec@1 88.281 (86.301)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.5314 (0.6284)\tPrec@1 85.547 (86.328)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.6378 (0.6258)\tPrec@1 86.719 (86.393)\n",
      " * Prec@1 86.340\n",
      "Epoch: [47][0/118]\tTime 0.338 (0.338)\tLoss 0.0515 (0.0515)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [47][10/118]\tTime 0.616 (0.588)\tLoss 0.1054 (0.0568)\tPrec@1 97.656 (98.189)\n",
      "Epoch: [47][20/118]\tTime 0.609 (0.600)\tLoss 0.0584 (0.0518)\tPrec@1 97.656 (98.363)\n",
      "Epoch: [47][30/118]\tTime 0.610 (0.604)\tLoss 0.0379 (0.0482)\tPrec@1 99.219 (98.475)\n",
      "Epoch: [47][40/118]\tTime 0.615 (0.607)\tLoss 0.0451 (0.0473)\tPrec@1 98.438 (98.466)\n",
      "Epoch: [47][50/118]\tTime 0.612 (0.608)\tLoss 0.1218 (0.0492)\tPrec@1 95.312 (98.430)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [47][60/118]\tTime 0.610 (0.609)\tLoss 0.0539 (0.0484)\tPrec@1 98.047 (98.431)\n",
      "Epoch: [47][70/118]\tTime 0.607 (0.609)\tLoss 0.0221 (0.0477)\tPrec@1 99.609 (98.476)\n",
      "Epoch: [47][80/118]\tTime 0.614 (0.610)\tLoss 0.0281 (0.0456)\tPrec@1 99.219 (98.548)\n",
      "Epoch: [47][90/118]\tTime 0.617 (0.610)\tLoss 0.0614 (0.0455)\tPrec@1 98.828 (98.536)\n",
      "Epoch: [47][100/118]\tTime 0.615 (0.610)\tLoss 0.0433 (0.0452)\tPrec@1 98.828 (98.534)\n",
      "Epoch: [47][110/118]\tTime 0.613 (0.611)\tLoss 0.0388 (0.0451)\tPrec@1 98.828 (98.547)\n",
      "Test: [0/157]\tTime 0.391 (0.391)\tLoss 0.2499 (0.2499)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3312 (0.3323)\tPrec@1 90.234 (91.548)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3397 (0.3303)\tPrec@1 90.234 (91.611)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3599 (0.3401)\tPrec@1 91.016 (91.242)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.4481 (0.3512)\tPrec@1 87.500 (90.968)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3597 (0.3553)\tPrec@1 92.969 (91.031)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3369 (0.3507)\tPrec@1 92.188 (91.124)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.2469 (0.3495)\tPrec@1 92.578 (91.093)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3103 (0.3482)\tPrec@1 92.578 (91.064)\n",
      "Test: [90/157]\tTime 0.181 (0.184)\tLoss 0.4054 (0.3467)\tPrec@1 89.844 (91.110)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.4914 (0.3444)\tPrec@1 86.328 (91.182)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.5245 (0.3495)\tPrec@1 87.109 (91.097)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1694 (0.3438)\tPrec@1 94.531 (91.171)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.1752 (0.3427)\tPrec@1 95.312 (91.209)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4577 (0.3468)\tPrec@1 88.672 (91.138)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4074 (0.3494)\tPrec@1 89.062 (91.073)\n",
      " * Prec@1 91.047\n",
      "Epoch: [48][0/118]\tTime 0.349 (0.349)\tLoss 0.0315 (0.0315)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [48][10/118]\tTime 0.616 (0.589)\tLoss 0.0158 (0.0349)\tPrec@1 99.609 (98.864)\n",
      "Epoch: [48][20/118]\tTime 0.616 (0.601)\tLoss 0.0364 (0.0331)\tPrec@1 98.828 (98.903)\n",
      "Epoch: [48][30/118]\tTime 0.612 (0.605)\tLoss 0.0293 (0.0351)\tPrec@1 99.219 (98.790)\n",
      "Epoch: [48][40/118]\tTime 0.612 (0.607)\tLoss 0.0288 (0.0359)\tPrec@1 98.828 (98.752)\n",
      "Epoch: [48][50/118]\tTime 0.614 (0.608)\tLoss 0.0131 (0.0372)\tPrec@1 100.000 (98.729)\n",
      "Epoch: [48][60/118]\tTime 0.614 (0.609)\tLoss 0.0233 (0.0372)\tPrec@1 99.219 (98.732)\n",
      "Epoch: [48][70/118]\tTime 0.614 (0.610)\tLoss 0.0262 (0.0367)\tPrec@1 99.219 (98.768)\n",
      "Epoch: [48][80/118]\tTime 0.613 (0.610)\tLoss 0.0266 (0.0373)\tPrec@1 99.219 (98.761)\n",
      "Epoch: [48][90/118]\tTime 0.613 (0.610)\tLoss 0.0410 (0.0370)\tPrec@1 98.047 (98.759)\n",
      "Epoch: [48][100/118]\tTime 0.611 (0.611)\tLoss 0.0495 (0.0369)\tPrec@1 98.438 (98.751)\n",
      "Epoch: [48][110/118]\tTime 0.612 (0.611)\tLoss 0.0267 (0.0364)\tPrec@1 98.828 (98.768)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.3064 (0.3064)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3876 (0.4720)\tPrec@1 90.234 (88.139)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3924 (0.4565)\tPrec@1 88.281 (88.672)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4240 (0.4649)\tPrec@1 89.453 (88.369)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3243 (0.4600)\tPrec@1 90.625 (88.481)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.6808 (0.4601)\tPrec@1 84.375 (88.473)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.5516 (0.4615)\tPrec@1 85.547 (88.390)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4670 (0.4606)\tPrec@1 88.672 (88.380)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3194 (0.4596)\tPrec@1 92.188 (88.416)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4069 (0.4607)\tPrec@1 87.891 (88.431)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.4480 (0.4606)\tPrec@1 87.891 (88.386)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3676 (0.4606)\tPrec@1 90.234 (88.366)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.4011 (0.4540)\tPrec@1 88.281 (88.536)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3905 (0.4540)\tPrec@1 90.234 (88.550)\n",
      "Test: [140/157]\tTime 0.180 (0.184)\tLoss 0.3694 (0.4542)\tPrec@1 89.844 (88.533)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3742 (0.4565)\tPrec@1 89.844 (88.524)\n",
      " * Prec@1 88.522\n",
      "Epoch: [49][0/118]\tTime 0.337 (0.337)\tLoss 0.0289 (0.0289)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [49][10/118]\tTime 0.612 (0.587)\tLoss 0.0297 (0.0314)\tPrec@1 98.828 (98.935)\n",
      "Epoch: [49][20/118]\tTime 0.614 (0.599)\tLoss 0.0235 (0.0274)\tPrec@1 99.219 (99.089)\n",
      "Epoch: [49][30/118]\tTime 0.612 (0.604)\tLoss 0.0092 (0.0261)\tPrec@1 100.000 (99.143)\n",
      "Epoch: [49][40/118]\tTime 0.612 (0.606)\tLoss 0.0194 (0.0256)\tPrec@1 99.219 (99.162)\n",
      "Epoch: [49][50/118]\tTime 0.617 (0.607)\tLoss 0.0087 (0.0240)\tPrec@1 100.000 (99.211)\n",
      "Epoch: [49][60/118]\tTime 0.617 (0.608)\tLoss 0.0063 (0.0230)\tPrec@1 100.000 (99.270)\n",
      "Epoch: [49][70/118]\tTime 0.613 (0.609)\tLoss 0.0097 (0.0222)\tPrec@1 99.609 (99.301)\n",
      "Epoch: [49][80/118]\tTime 0.614 (0.609)\tLoss 0.0386 (0.0226)\tPrec@1 98.828 (99.277)\n",
      "Epoch: [49][90/118]\tTime 0.615 (0.610)\tLoss 0.0245 (0.0231)\tPrec@1 99.219 (99.245)\n",
      "Epoch: [49][100/118]\tTime 0.614 (0.610)\tLoss 0.0224 (0.0239)\tPrec@1 99.219 (99.223)\n",
      "Epoch: [49][110/118]\tTime 0.611 (0.610)\tLoss 0.0379 (0.0242)\tPrec@1 98.438 (99.215)\n",
      "Test: [0/157]\tTime 0.392 (0.392)\tLoss 0.2552 (0.2552)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3719 (0.3679)\tPrec@1 89.453 (90.554)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.4359 (0.3659)\tPrec@1 87.891 (90.272)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2965 (0.3704)\tPrec@1 92.188 (90.297)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3505 (0.3694)\tPrec@1 90.625 (90.263)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.3556 (0.3691)\tPrec@1 91.406 (90.265)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3314 (0.3812)\tPrec@1 90.625 (90.036)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3209 (0.3853)\tPrec@1 91.797 (90.025)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4288 (0.3819)\tPrec@1 89.453 (90.104)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.2661 (0.3836)\tPrec@1 92.969 (90.140)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3843 (0.3824)\tPrec@1 89.844 (90.231)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4761 (0.3829)\tPrec@1 90.234 (90.259)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2914 (0.3780)\tPrec@1 92.188 (90.331)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3872 (0.3761)\tPrec@1 87.891 (90.348)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.5328 (0.3774)\tPrec@1 87.500 (90.337)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2782 (0.3738)\tPrec@1 91.797 (90.415)\n",
      " * Prec@1 90.433\n",
      "Epoch: [50][0/118]\tTime 0.346 (0.346)\tLoss 0.0136 (0.0136)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [50][10/118]\tTime 0.612 (0.589)\tLoss 0.1169 (0.0555)\tPrec@1 96.875 (98.260)\n",
      "Epoch: [50][20/118]\tTime 0.613 (0.600)\tLoss 0.0346 (0.0608)\tPrec@1 98.438 (98.103)\n",
      "Epoch: [50][30/118]\tTime 0.615 (0.604)\tLoss 0.0528 (0.0540)\tPrec@1 98.438 (98.274)\n",
      "Epoch: [50][40/118]\tTime 0.615 (0.607)\tLoss 0.0300 (0.0505)\tPrec@1 98.438 (98.352)\n",
      "Epoch: [50][50/118]\tTime 0.613 (0.608)\tLoss 0.0507 (0.0500)\tPrec@1 98.047 (98.392)\n",
      "Epoch: [50][60/118]\tTime 0.613 (0.609)\tLoss 0.0376 (0.0486)\tPrec@1 99.219 (98.444)\n",
      "Epoch: [50][70/118]\tTime 0.616 (0.609)\tLoss 0.0230 (0.0491)\tPrec@1 99.609 (98.438)\n",
      "Epoch: [50][80/118]\tTime 0.611 (0.610)\tLoss 0.0198 (0.0481)\tPrec@1 99.219 (98.447)\n",
      "Epoch: [50][90/118]\tTime 0.612 (0.610)\tLoss 0.0168 (0.0467)\tPrec@1 100.000 (98.485)\n",
      "Epoch: [50][100/118]\tTime 0.611 (0.610)\tLoss 0.0471 (0.0452)\tPrec@1 98.438 (98.503)\n",
      "Epoch: [50][110/118]\tTime 0.612 (0.611)\tLoss 0.0289 (0.0443)\tPrec@1 98.438 (98.522)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.5960 (0.5960)\tPrec@1 82.812 (82.812)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.6409 (0.5519)\tPrec@1 85.938 (85.014)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4422 (0.5650)\tPrec@1 88.281 (84.598)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.5086 (0.5776)\tPrec@1 85.938 (84.325)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.5582 (0.5634)\tPrec@1 83.984 (84.575)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.5908 (0.5704)\tPrec@1 82.812 (84.459)\n",
      "Test: [60/157]\tTime 0.182 (0.185)\tLoss 0.6121 (0.5668)\tPrec@1 83.984 (84.529)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4240 (0.5613)\tPrec@1 86.719 (84.716)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.6070 (0.5680)\tPrec@1 83.984 (84.553)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.7630 (0.5722)\tPrec@1 83.984 (84.645)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.5539 (0.5685)\tPrec@1 87.500 (84.684)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.4967 (0.5692)\tPrec@1 82.812 (84.678)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.8262 (0.5713)\tPrec@1 80.859 (84.659)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.5060 (0.5703)\tPrec@1 84.766 (84.643)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.7006 (0.5681)\tPrec@1 80.469 (84.644)\n",
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.5792 (0.5685)\tPrec@1 83.594 (84.649)\n",
      " * Prec@1 84.670\n",
      "Epoch: [51][0/118]\tTime 0.344 (0.344)\tLoss 0.0161 (0.0161)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [51][10/118]\tTime 0.611 (0.588)\tLoss 0.0354 (0.0756)\tPrec@1 98.828 (97.763)\n",
      "Epoch: [51][20/118]\tTime 0.612 (0.600)\tLoss 0.0566 (0.0673)\tPrec@1 98.438 (97.935)\n",
      "Epoch: [51][30/118]\tTime 0.619 (0.604)\tLoss 0.0496 (0.0639)\tPrec@1 98.828 (98.022)\n",
      "Epoch: [51][40/118]\tTime 0.616 (0.606)\tLoss 0.0273 (0.0618)\tPrec@1 99.219 (98.066)\n",
      "Epoch: [51][50/118]\tTime 0.613 (0.608)\tLoss 0.0327 (0.0616)\tPrec@1 99.219 (98.085)\n",
      "Epoch: [51][60/118]\tTime 0.612 (0.608)\tLoss 0.0273 (0.0569)\tPrec@1 99.219 (98.239)\n",
      "Epoch: [51][70/118]\tTime 0.612 (0.609)\tLoss 0.0245 (0.0537)\tPrec@1 99.219 (98.360)\n",
      "Epoch: [51][80/118]\tTime 0.613 (0.609)\tLoss 0.0466 (0.0511)\tPrec@1 98.438 (98.428)\n",
      "Epoch: [51][90/118]\tTime 0.614 (0.610)\tLoss 0.0580 (0.0487)\tPrec@1 98.047 (98.493)\n",
      "Epoch: [51][100/118]\tTime 0.612 (0.610)\tLoss 0.0273 (0.0469)\tPrec@1 99.219 (98.530)\n",
      "Epoch: [51][110/118]\tTime 0.612 (0.610)\tLoss 0.0396 (0.0454)\tPrec@1 98.438 (98.564)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.5477 (0.5477)\tPrec@1 87.109 (87.109)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.4525 (0.4979)\tPrec@1 88.672 (87.855)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.6298 (0.4912)\tPrec@1 85.547 (87.984)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.4581 (0.4924)\tPrec@1 89.844 (87.991)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.5152 (0.5081)\tPrec@1 85.547 (87.786)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.5933 (0.5154)\tPrec@1 84.766 (87.768)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.4963 (0.5180)\tPrec@1 87.500 (87.724)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.5143 (0.5210)\tPrec@1 87.500 (87.654)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4774 (0.5188)\tPrec@1 89.062 (87.703)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.4217 (0.5175)\tPrec@1 90.234 (87.715)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.4157 (0.5156)\tPrec@1 87.500 (87.705)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.5849 (0.5161)\tPrec@1 85.938 (87.669)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.6030 (0.5161)\tPrec@1 86.719 (87.681)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.6181 (0.5171)\tPrec@1 87.109 (87.661)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.5976 (0.5177)\tPrec@1 87.500 (87.655)\n",
      "Test: [150/157]\tTime 0.183 (0.183)\tLoss 0.5319 (0.5163)\tPrec@1 85.938 (87.663)\n",
      " * Prec@1 87.620\n",
      "Epoch: [52][0/118]\tTime 0.346 (0.346)\tLoss 0.0419 (0.0419)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [52][10/118]\tTime 0.614 (0.588)\tLoss 0.0519 (0.0563)\tPrec@1 98.438 (98.153)\n",
      "Epoch: [52][20/118]\tTime 0.614 (0.600)\tLoss 0.0701 (0.0571)\tPrec@1 96.875 (98.047)\n",
      "Epoch: [52][30/118]\tTime 0.613 (0.604)\tLoss 0.0240 (0.0502)\tPrec@1 99.609 (98.387)\n",
      "Epoch: [52][40/118]\tTime 0.611 (0.606)\tLoss 0.0602 (0.0472)\tPrec@1 98.438 (98.514)\n",
      "Epoch: [52][50/118]\tTime 0.610 (0.608)\tLoss 0.0494 (0.0445)\tPrec@1 97.656 (98.537)\n",
      "Epoch: [52][60/118]\tTime 0.608 (0.609)\tLoss 0.0357 (0.0431)\tPrec@1 98.438 (98.585)\n",
      "Epoch: [52][70/118]\tTime 0.614 (0.609)\tLoss 0.0430 (0.0420)\tPrec@1 98.438 (98.625)\n",
      "Epoch: [52][80/118]\tTime 0.610 (0.610)\tLoss 0.0559 (0.0430)\tPrec@1 97.656 (98.577)\n",
      "Epoch: [52][90/118]\tTime 0.612 (0.610)\tLoss 0.0248 (0.0437)\tPrec@1 99.609 (98.541)\n",
      "Epoch: [52][100/118]\tTime 0.614 (0.611)\tLoss 0.0369 (0.0442)\tPrec@1 98.438 (98.511)\n",
      "Epoch: [52][110/118]\tTime 0.617 (0.611)\tLoss 0.0369 (0.0439)\tPrec@1 98.438 (98.515)\n",
      "Test: [0/157]\tTime 0.373 (0.373)\tLoss 0.2717 (0.2717)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.182 (0.199)\tLoss 0.2681 (0.3054)\tPrec@1 92.969 (91.442)\n",
      "Test: [20/157]\tTime 0.183 (0.191)\tLoss 0.3837 (0.3093)\tPrec@1 90.625 (91.425)\n",
      "Test: [30/157]\tTime 0.183 (0.188)\tLoss 0.3951 (0.3249)\tPrec@1 90.234 (91.154)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4064 (0.3306)\tPrec@1 89.453 (91.025)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2991 (0.3245)\tPrec@1 91.406 (91.215)\n",
      "Test: [60/157]\tTime 0.181 (0.185)\tLoss 0.2730 (0.3244)\tPrec@1 91.406 (91.118)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2453 (0.3216)\tPrec@1 92.578 (91.153)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3244 (0.3260)\tPrec@1 90.234 (91.045)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.2312 (0.3232)\tPrec@1 91.797 (91.059)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3330 (0.3188)\tPrec@1 91.406 (91.159)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3429 (0.3188)\tPrec@1 89.844 (91.167)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2352 (0.3175)\tPrec@1 94.531 (91.164)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3882 (0.3187)\tPrec@1 88.281 (91.159)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2654 (0.3180)\tPrec@1 93.359 (91.165)\n",
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.3999 (0.3174)\tPrec@1 87.500 (91.158)\n",
      " * Prec@1 91.135\n",
      "Epoch: [53][0/118]\tTime 0.343 (0.343)\tLoss 0.0277 (0.0277)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [53][10/118]\tTime 0.611 (0.587)\tLoss 0.0458 (0.0451)\tPrec@1 99.219 (98.864)\n",
      "Epoch: [53][20/118]\tTime 0.615 (0.600)\tLoss 0.0318 (0.0399)\tPrec@1 99.609 (98.903)\n",
      "Epoch: [53][30/118]\tTime 0.614 (0.605)\tLoss 0.0337 (0.0356)\tPrec@1 98.438 (98.979)\n",
      "Epoch: [53][40/118]\tTime 0.614 (0.606)\tLoss 0.0282 (0.0322)\tPrec@1 98.828 (99.066)\n",
      "Epoch: [53][50/118]\tTime 0.614 (0.608)\tLoss 0.0357 (0.0299)\tPrec@1 98.828 (99.134)\n",
      "Epoch: [53][60/118]\tTime 0.610 (0.609)\tLoss 0.0401 (0.0294)\tPrec@1 98.828 (99.174)\n",
      "Epoch: [53][70/118]\tTime 0.617 (0.609)\tLoss 0.0120 (0.0289)\tPrec@1 99.609 (99.208)\n",
      "Epoch: [53][80/118]\tTime 0.613 (0.610)\tLoss 0.0272 (0.0284)\tPrec@1 99.609 (99.233)\n",
      "Epoch: [53][90/118]\tTime 0.612 (0.610)\tLoss 0.0146 (0.0277)\tPrec@1 99.609 (99.240)\n",
      "Epoch: [53][100/118]\tTime 0.619 (0.610)\tLoss 0.0529 (0.0272)\tPrec@1 98.828 (99.254)\n",
      "Epoch: [53][110/118]\tTime 0.616 (0.611)\tLoss 0.0187 (0.0267)\tPrec@1 99.219 (99.250)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.5800 (0.5800)\tPrec@1 87.500 (87.500)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.5197 (0.5106)\tPrec@1 88.281 (88.317)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.7400 (0.4986)\tPrec@1 85.156 (88.263)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4764 (0.4875)\tPrec@1 87.500 (88.332)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.4822 (0.4852)\tPrec@1 87.109 (88.348)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3331 (0.4745)\tPrec@1 90.234 (88.603)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4169 (0.4740)\tPrec@1 91.016 (88.742)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4787 (0.4760)\tPrec@1 87.891 (88.666)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4235 (0.4742)\tPrec@1 91.016 (88.739)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.5323 (0.4715)\tPrec@1 87.891 (88.783)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.5992 (0.4715)\tPrec@1 85.938 (88.788)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4502 (0.4681)\tPrec@1 89.062 (88.830)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.5921 (0.4689)\tPrec@1 87.109 (88.846)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.4699 (0.4678)\tPrec@1 87.109 (88.800)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.5317 (0.4698)\tPrec@1 88.672 (88.727)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3752 (0.4664)\tPrec@1 90.625 (88.799)\n",
      " * Prec@1 88.812\n",
      "Epoch: [54][0/118]\tTime 0.356 (0.356)\tLoss 0.0214 (0.0214)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [54][10/118]\tTime 0.616 (0.589)\tLoss 0.0698 (0.0532)\tPrec@1 97.656 (98.295)\n",
      "Epoch: [54][20/118]\tTime 0.613 (0.600)\tLoss 0.0652 (0.0561)\tPrec@1 98.828 (98.214)\n",
      "Epoch: [54][30/118]\tTime 0.613 (0.604)\tLoss 0.0753 (0.0586)\tPrec@1 98.047 (98.097)\n",
      "Epoch: [54][40/118]\tTime 0.613 (0.606)\tLoss 0.0607 (0.0544)\tPrec@1 97.656 (98.209)\n",
      "Epoch: [54][50/118]\tTime 0.614 (0.608)\tLoss 0.0283 (0.0510)\tPrec@1 99.219 (98.353)\n",
      "Epoch: [54][60/118]\tTime 0.614 (0.609)\tLoss 0.0568 (0.0493)\tPrec@1 98.438 (98.399)\n",
      "Epoch: [54][70/118]\tTime 0.613 (0.609)\tLoss 0.0982 (0.0506)\tPrec@1 97.266 (98.382)\n",
      "Epoch: [54][80/118]\tTime 0.615 (0.610)\tLoss 0.0228 (0.0498)\tPrec@1 99.609 (98.413)\n",
      "Epoch: [54][90/118]\tTime 0.609 (0.610)\tLoss 0.0106 (0.0495)\tPrec@1 100.000 (98.429)\n",
      "Epoch: [54][100/118]\tTime 0.610 (0.610)\tLoss 0.0386 (0.0485)\tPrec@1 99.609 (98.445)\n",
      "Epoch: [54][110/118]\tTime 0.614 (0.610)\tLoss 0.0134 (0.0473)\tPrec@1 99.219 (98.480)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.4516 (0.4516)\tPrec@1 88.672 (88.672)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.5755 (0.3930)\tPrec@1 89.062 (90.128)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3537 (0.4007)\tPrec@1 91.797 (89.769)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4702 (0.4135)\tPrec@1 88.672 (89.277)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.3612 (0.4086)\tPrec@1 89.062 (89.224)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.3918 (0.4147)\tPrec@1 89.453 (89.185)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.5106 (0.4259)\tPrec@1 85.547 (89.005)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2344 (0.4206)\tPrec@1 92.188 (89.156)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2415 (0.4151)\tPrec@1 92.188 (89.371)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.4037 (0.4136)\tPrec@1 89.844 (89.273)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3789 (0.4106)\tPrec@1 86.328 (89.387)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4920 (0.4149)\tPrec@1 87.891 (89.323)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4351 (0.4168)\tPrec@1 88.672 (89.234)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.4660 (0.4167)\tPrec@1 87.500 (89.241)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3448 (0.4176)\tPrec@1 89.453 (89.243)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4077 (0.4198)\tPrec@1 89.062 (89.218)\n",
      " * Prec@1 89.203\n",
      "Epoch: [55][0/118]\tTime 0.339 (0.339)\tLoss 0.0401 (0.0401)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [55][10/118]\tTime 0.612 (0.588)\tLoss 0.0278 (0.0501)\tPrec@1 99.219 (98.509)\n",
      "Epoch: [55][20/118]\tTime 0.612 (0.600)\tLoss 0.0376 (0.0405)\tPrec@1 98.828 (98.847)\n",
      "Epoch: [55][30/118]\tTime 0.613 (0.604)\tLoss 0.0216 (0.0375)\tPrec@1 99.609 (98.916)\n",
      "Epoch: [55][40/118]\tTime 0.615 (0.607)\tLoss 0.0409 (0.0370)\tPrec@1 99.219 (98.923)\n",
      "Epoch: [55][50/118]\tTime 0.617 (0.608)\tLoss 0.0176 (0.0356)\tPrec@1 99.219 (98.935)\n",
      "Epoch: [55][60/118]\tTime 0.611 (0.609)\tLoss 0.0165 (0.0352)\tPrec@1 100.000 (98.956)\n",
      "Epoch: [55][70/118]\tTime 0.612 (0.609)\tLoss 0.0205 (0.0332)\tPrec@1 99.609 (99.026)\n",
      "Epoch: [55][80/118]\tTime 0.614 (0.610)\tLoss 0.0215 (0.0322)\tPrec@1 99.609 (99.069)\n",
      "Epoch: [55][90/118]\tTime 0.615 (0.610)\tLoss 0.0116 (0.0308)\tPrec@1 99.609 (99.111)\n",
      "Epoch: [55][100/118]\tTime 0.614 (0.610)\tLoss 0.0043 (0.0291)\tPrec@1 100.000 (99.157)\n",
      "Epoch: [55][110/118]\tTime 0.611 (0.610)\tLoss 0.0071 (0.0280)\tPrec@1 100.000 (99.180)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.1908 (0.1908)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3682 (0.3382)\tPrec@1 89.453 (91.016)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3282 (0.3368)\tPrec@1 90.234 (91.146)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2768 (0.3359)\tPrec@1 92.188 (91.242)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.3513 (0.3421)\tPrec@1 91.406 (91.159)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2930 (0.3421)\tPrec@1 93.750 (91.215)\n",
      "Test: [60/157]\tTime 0.181 (0.185)\tLoss 0.3417 (0.3450)\tPrec@1 90.625 (91.131)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4855 (0.3421)\tPrec@1 90.234 (91.247)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2486 (0.3460)\tPrec@1 93.750 (91.257)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.3825 (0.3448)\tPrec@1 89.062 (91.290)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2178 (0.3455)\tPrec@1 93.359 (91.255)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3551 (0.3468)\tPrec@1 91.406 (91.234)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2940 (0.3427)\tPrec@1 90.625 (91.296)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3424 (0.3421)\tPrec@1 92.969 (91.367)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.2544 (0.3424)\tPrec@1 93.750 (91.359)\n",
      "Test: [150/157]\tTime 0.181 (0.183)\tLoss 0.3670 (0.3406)\tPrec@1 89.062 (91.383)\n",
      " * Prec@1 91.403\n",
      "Epoch: [56][0/118]\tTime 0.345 (0.345)\tLoss 0.0231 (0.0231)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [56][10/118]\tTime 0.613 (0.589)\tLoss 0.0509 (0.0481)\tPrec@1 98.828 (98.651)\n",
      "Epoch: [56][20/118]\tTime 0.616 (0.600)\tLoss 0.0959 (0.0529)\tPrec@1 96.484 (98.214)\n",
      "Epoch: [56][30/118]\tTime 0.615 (0.604)\tLoss 0.0495 (0.0509)\tPrec@1 97.266 (98.223)\n",
      "Epoch: [56][40/118]\tTime 0.613 (0.606)\tLoss 0.0423 (0.0479)\tPrec@1 98.438 (98.380)\n",
      "Epoch: [56][50/118]\tTime 0.613 (0.608)\tLoss 0.0494 (0.0470)\tPrec@1 98.438 (98.445)\n",
      "Epoch: [56][60/118]\tTime 0.614 (0.608)\tLoss 0.0356 (0.0466)\tPrec@1 99.219 (98.457)\n",
      "Epoch: [56][70/118]\tTime 0.611 (0.609)\tLoss 0.0647 (0.0448)\tPrec@1 98.828 (98.548)\n",
      "Epoch: [56][80/118]\tTime 0.612 (0.609)\tLoss 0.0493 (0.0436)\tPrec@1 96.875 (98.582)\n",
      "Epoch: [56][90/118]\tTime 0.614 (0.610)\tLoss 0.0231 (0.0417)\tPrec@1 98.828 (98.648)\n",
      "Epoch: [56][100/118]\tTime 0.617 (0.610)\tLoss 0.0120 (0.0407)\tPrec@1 100.000 (98.693)\n",
      "Epoch: [56][110/118]\tTime 0.613 (0.610)\tLoss 0.0615 (0.0404)\tPrec@1 99.219 (98.719)\n",
      "Test: [0/157]\tTime 0.372 (0.372)\tLoss 0.2738 (0.2738)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.182 (0.199)\tLoss 0.1619 (0.3338)\tPrec@1 94.141 (91.371)\n",
      "Test: [20/157]\tTime 0.182 (0.191)\tLoss 0.3168 (0.3458)\tPrec@1 89.453 (91.220)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.2619 (0.3592)\tPrec@1 92.578 (90.890)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3844 (0.3635)\tPrec@1 91.016 (90.958)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.4177 (0.3633)\tPrec@1 87.891 (90.893)\n",
      "Test: [60/157]\tTime 0.182 (0.185)\tLoss 0.5549 (0.3766)\tPrec@1 86.719 (90.606)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4180 (0.3812)\tPrec@1 91.406 (90.537)\n",
      "Test: [80/157]\tTime 0.182 (0.184)\tLoss 0.5310 (0.3850)\tPrec@1 88.281 (90.456)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.3807 (0.3856)\tPrec@1 91.406 (90.561)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3965 (0.3841)\tPrec@1 91.406 (90.582)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4147 (0.3839)\tPrec@1 88.281 (90.590)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.4648 (0.3836)\tPrec@1 89.062 (90.586)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4579 (0.3874)\tPrec@1 89.062 (90.488)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.2584 (0.3872)\tPrec@1 92.969 (90.500)\n",
      "Test: [150/157]\tTime 0.182 (0.183)\tLoss 0.4485 (0.3878)\tPrec@1 89.844 (90.478)\n",
      " * Prec@1 90.468\n",
      "Epoch: [57][0/118]\tTime 0.346 (0.346)\tLoss 0.0223 (0.0223)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [57][10/118]\tTime 0.613 (0.590)\tLoss 0.0234 (0.0354)\tPrec@1 99.219 (98.793)\n",
      "Epoch: [57][20/118]\tTime 0.615 (0.602)\tLoss 0.0381 (0.0354)\tPrec@1 98.828 (98.810)\n",
      "Epoch: [57][30/118]\tTime 0.616 (0.606)\tLoss 0.0167 (0.0330)\tPrec@1 100.000 (98.891)\n",
      "Epoch: [57][40/118]\tTime 0.614 (0.608)\tLoss 0.0444 (0.0326)\tPrec@1 98.438 (98.923)\n",
      "Epoch: [57][50/118]\tTime 0.611 (0.609)\tLoss 0.0258 (0.0326)\tPrec@1 99.609 (98.928)\n",
      "Epoch: [57][60/118]\tTime 0.613 (0.610)\tLoss 0.0335 (0.0310)\tPrec@1 98.828 (99.020)\n",
      "Epoch: [57][70/118]\tTime 0.608 (0.610)\tLoss 0.0183 (0.0294)\tPrec@1 99.219 (99.070)\n",
      "Epoch: [57][80/118]\tTime 0.616 (0.611)\tLoss 0.0156 (0.0289)\tPrec@1 99.609 (99.079)\n",
      "Epoch: [57][90/118]\tTime 0.614 (0.611)\tLoss 0.0175 (0.0284)\tPrec@1 99.609 (99.099)\n",
      "Epoch: [57][100/118]\tTime 0.615 (0.612)\tLoss 0.0170 (0.0290)\tPrec@1 99.609 (99.045)\n",
      "Epoch: [57][110/118]\tTime 0.614 (0.612)\tLoss 0.0461 (0.0298)\tPrec@1 98.047 (99.043)\n",
      "Test: [0/157]\tTime 0.373 (0.373)\tLoss 0.3593 (0.3593)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2824 (0.4080)\tPrec@1 92.969 (90.767)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3308 (0.4151)\tPrec@1 91.016 (90.458)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4673 (0.4274)\tPrec@1 89.062 (90.184)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.4908 (0.4385)\tPrec@1 90.234 (89.882)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2951 (0.4357)\tPrec@1 92.578 (89.890)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.5284 (0.4376)\tPrec@1 89.844 (89.793)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2513 (0.4348)\tPrec@1 92.578 (89.893)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4510 (0.4394)\tPrec@1 89.844 (89.791)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4268 (0.4320)\tPrec@1 89.844 (89.968)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3529 (0.4308)\tPrec@1 91.016 (89.968)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3467 (0.4314)\tPrec@1 90.234 (89.921)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.5517 (0.4330)\tPrec@1 88.281 (89.905)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4066 (0.4320)\tPrec@1 90.234 (89.930)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4395 (0.4315)\tPrec@1 89.844 (89.916)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3253 (0.4304)\tPrec@1 91.797 (89.885)\n",
      " * Prec@1 89.892\n",
      "Epoch: [58][0/118]\tTime 0.358 (0.358)\tLoss 0.0102 (0.0102)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [58][10/118]\tTime 0.613 (0.590)\tLoss 0.0670 (0.0271)\tPrec@1 98.047 (99.112)\n",
      "Epoch: [58][20/118]\tTime 0.616 (0.602)\tLoss 0.0139 (0.0237)\tPrec@1 99.609 (99.237)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [58][30/118]\tTime 0.614 (0.606)\tLoss 0.0131 (0.0232)\tPrec@1 100.000 (99.282)\n",
      "Epoch: [58][40/118]\tTime 0.620 (0.608)\tLoss 0.0268 (0.0225)\tPrec@1 98.828 (99.257)\n",
      "Epoch: [58][50/118]\tTime 0.612 (0.609)\tLoss 0.0162 (0.0218)\tPrec@1 99.219 (99.295)\n",
      "Epoch: [58][60/118]\tTime 0.616 (0.610)\tLoss 0.0134 (0.0205)\tPrec@1 99.609 (99.353)\n",
      "Epoch: [58][70/118]\tTime 0.612 (0.611)\tLoss 0.0336 (0.0211)\tPrec@1 98.828 (99.312)\n",
      "Epoch: [58][80/118]\tTime 0.610 (0.611)\tLoss 0.0105 (0.0206)\tPrec@1 99.609 (99.325)\n",
      "Epoch: [58][90/118]\tTime 0.615 (0.612)\tLoss 0.0124 (0.0209)\tPrec@1 99.609 (99.330)\n",
      "Epoch: [58][100/118]\tTime 0.612 (0.612)\tLoss 0.0133 (0.0205)\tPrec@1 99.609 (99.346)\n",
      "Epoch: [58][110/118]\tTime 0.616 (0.612)\tLoss 0.0300 (0.0210)\tPrec@1 99.219 (99.335)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.4554 (0.4554)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.7126 (0.5273)\tPrec@1 84.766 (87.855)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4582 (0.5143)\tPrec@1 85.547 (87.705)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3811 (0.4911)\tPrec@1 92.188 (88.105)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.5172 (0.4946)\tPrec@1 89.453 (87.948)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.5340 (0.4834)\tPrec@1 89.453 (88.166)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4570 (0.4762)\tPrec@1 89.453 (88.377)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.5734 (0.4774)\tPrec@1 87.109 (88.276)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4239 (0.4789)\tPrec@1 90.625 (88.291)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4406 (0.4740)\tPrec@1 89.062 (88.427)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.5227 (0.4738)\tPrec@1 87.109 (88.455)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4422 (0.4736)\tPrec@1 90.234 (88.499)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4605 (0.4766)\tPrec@1 89.062 (88.420)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.3269 (0.4731)\tPrec@1 90.625 (88.517)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4094 (0.4687)\tPrec@1 90.625 (88.578)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4999 (0.4679)\tPrec@1 88.672 (88.597)\n",
      " * Prec@1 88.625\n",
      "Epoch: [59][0/118]\tTime 0.352 (0.352)\tLoss 0.0097 (0.0097)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [59][10/118]\tTime 0.610 (0.590)\tLoss 0.0102 (0.0155)\tPrec@1 99.609 (99.574)\n",
      "Epoch: [59][20/118]\tTime 0.614 (0.602)\tLoss 0.0188 (0.0172)\tPrec@1 99.609 (99.554)\n",
      "Epoch: [59][30/118]\tTime 0.614 (0.606)\tLoss 0.0031 (0.0141)\tPrec@1 100.000 (99.660)\n",
      "Epoch: [59][40/118]\tTime 0.618 (0.608)\tLoss 0.0087 (0.0124)\tPrec@1 99.609 (99.695)\n",
      "Epoch: [59][50/118]\tTime 0.616 (0.609)\tLoss 0.0028 (0.0109)\tPrec@1 100.000 (99.740)\n",
      "Epoch: [59][60/118]\tTime 0.614 (0.610)\tLoss 0.0030 (0.0097)\tPrec@1 100.000 (99.776)\n",
      "Epoch: [59][70/118]\tTime 0.615 (0.611)\tLoss 0.0031 (0.0091)\tPrec@1 100.000 (99.802)\n",
      "Epoch: [59][80/118]\tTime 0.613 (0.611)\tLoss 0.0057 (0.0087)\tPrec@1 99.609 (99.812)\n",
      "Epoch: [59][90/118]\tTime 0.617 (0.612)\tLoss 0.0022 (0.0081)\tPrec@1 100.000 (99.833)\n",
      "Epoch: [59][100/118]\tTime 0.614 (0.612)\tLoss 0.0027 (0.0077)\tPrec@1 100.000 (99.845)\n",
      "Epoch: [59][110/118]\tTime 0.616 (0.612)\tLoss 0.0031 (0.0076)\tPrec@1 100.000 (99.849)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.3478 (0.3478)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2400 (0.2726)\tPrec@1 95.312 (93.111)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3032 (0.2745)\tPrec@1 91.797 (93.136)\n",
      "Test: [30/157]\tTime 0.184 (0.189)\tLoss 0.3255 (0.2924)\tPrec@1 92.578 (92.742)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3183 (0.2947)\tPrec@1 91.406 (92.645)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2515 (0.2936)\tPrec@1 92.578 (92.662)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2990 (0.2957)\tPrec@1 92.578 (92.610)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2760 (0.2958)\tPrec@1 93.750 (92.617)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2995 (0.2920)\tPrec@1 92.188 (92.713)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.1955 (0.2878)\tPrec@1 93.359 (92.750)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3471 (0.2862)\tPrec@1 90.625 (92.802)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3701 (0.2856)\tPrec@1 91.406 (92.789)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3928 (0.2881)\tPrec@1 90.625 (92.740)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2956 (0.2868)\tPrec@1 92.578 (92.748)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.1618 (0.2848)\tPrec@1 94.531 (92.780)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2538 (0.2839)\tPrec@1 92.578 (92.814)\n",
      " * Prec@1 92.800\n",
      "Epoch: [60][0/118]\tTime 0.349 (0.349)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][10/118]\tTime 0.618 (0.590)\tLoss 0.0011 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][20/118]\tTime 0.614 (0.602)\tLoss 0.0023 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][30/118]\tTime 0.618 (0.606)\tLoss 0.0015 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][40/118]\tTime 0.612 (0.608)\tLoss 0.0020 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][50/118]\tTime 0.618 (0.610)\tLoss 0.0020 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][60/118]\tTime 0.618 (0.610)\tLoss 0.0021 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][70/118]\tTime 0.614 (0.611)\tLoss 0.0028 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][80/118]\tTime 0.613 (0.611)\tLoss 0.0015 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][90/118]\tTime 0.612 (0.611)\tLoss 0.0017 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][100/118]\tTime 0.614 (0.612)\tLoss 0.0020 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][110/118]\tTime 0.614 (0.612)\tLoss 0.0014 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.394 (0.394)\tLoss 0.1727 (0.1727)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2983 (0.2953)\tPrec@1 92.969 (92.472)\n",
      "Test: [20/157]\tTime 0.181 (0.193)\tLoss 0.2093 (0.2814)\tPrec@1 94.922 (93.080)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2916 (0.2837)\tPrec@1 91.406 (92.843)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3875 (0.2898)\tPrec@1 90.234 (92.854)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3022 (0.2893)\tPrec@1 92.578 (92.800)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.1374 (0.2859)\tPrec@1 96.094 (92.802)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3257 (0.2883)\tPrec@1 92.188 (92.798)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3585 (0.2827)\tPrec@1 92.969 (92.872)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2758 (0.2827)\tPrec@1 92.578 (92.887)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2811 (0.2820)\tPrec@1 93.750 (92.938)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.2502 (0.2826)\tPrec@1 92.969 (92.919)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4118 (0.2834)\tPrec@1 90.234 (92.914)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.1146 (0.2835)\tPrec@1 96.875 (92.915)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.1799 (0.2840)\tPrec@1 94.922 (92.916)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2517 (0.2824)\tPrec@1 93.359 (92.948)\n",
      " * Prec@1 92.927\n",
      "Epoch: [61][0/118]\tTime 0.327 (0.327)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][10/118]\tTime 0.613 (0.589)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][20/118]\tTime 0.615 (0.601)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][30/118]\tTime 0.614 (0.605)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][40/118]\tTime 0.615 (0.608)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][50/118]\tTime 0.617 (0.609)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][60/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][70/118]\tTime 0.615 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][80/118]\tTime 0.614 (0.611)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][90/118]\tTime 0.613 (0.611)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][100/118]\tTime 0.614 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][110/118]\tTime 0.615 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.387 (0.387)\tLoss 0.2482 (0.2482)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3330 (0.2688)\tPrec@1 92.578 (93.359)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3347 (0.2822)\tPrec@1 90.625 (92.932)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2464 (0.2814)\tPrec@1 93.750 (92.969)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3287 (0.2882)\tPrec@1 91.406 (92.854)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2199 (0.2821)\tPrec@1 94.531 (92.938)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2469 (0.2875)\tPrec@1 92.969 (92.930)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2501 (0.2823)\tPrec@1 92.578 (92.985)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1888 (0.2780)\tPrec@1 94.922 (93.027)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.2597 (0.2764)\tPrec@1 91.406 (93.020)\n",
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.4039 (0.2780)\tPrec@1 90.234 (92.973)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3001 (0.2777)\tPrec@1 91.797 (93.007)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2956 (0.2772)\tPrec@1 91.797 (92.985)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2714 (0.2776)\tPrec@1 93.359 (93.016)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2978 (0.2794)\tPrec@1 94.141 (92.927)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.1887 (0.2785)\tPrec@1 94.141 (92.958)\n",
      " * Prec@1 92.957\n",
      "Epoch: [62][0/118]\tTime 0.342 (0.342)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][10/118]\tTime 0.616 (0.590)\tLoss 0.0025 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][20/118]\tTime 0.616 (0.602)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][30/118]\tTime 0.615 (0.606)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][40/118]\tTime 0.615 (0.608)\tLoss 0.0021 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][50/118]\tTime 0.614 (0.609)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][60/118]\tTime 0.613 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][70/118]\tTime 0.614 (0.610)\tLoss 0.0023 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][80/118]\tTime 0.610 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][90/118]\tTime 0.620 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][100/118]\tTime 0.615 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][110/118]\tTime 0.617 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.386 (0.386)\tLoss 0.2298 (0.2298)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2909 (0.3023)\tPrec@1 92.188 (92.720)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2391 (0.2899)\tPrec@1 92.969 (92.783)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3423 (0.2907)\tPrec@1 92.578 (92.679)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2363 (0.2903)\tPrec@1 94.141 (92.654)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3431 (0.2873)\tPrec@1 90.625 (92.693)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3500 (0.2876)\tPrec@1 91.406 (92.732)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3805 (0.2822)\tPrec@1 92.188 (92.919)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3397 (0.2845)\tPrec@1 91.797 (92.858)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4843 (0.2841)\tPrec@1 89.844 (92.909)\n",
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.3475 (0.2829)\tPrec@1 92.188 (92.957)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2074 (0.2818)\tPrec@1 94.531 (92.965)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2448 (0.2783)\tPrec@1 92.969 (93.020)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2418 (0.2786)\tPrec@1 93.359 (92.966)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3184 (0.2787)\tPrec@1 93.750 (92.966)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2866 (0.2790)\tPrec@1 93.359 (92.995)\n",
      " * Prec@1 92.983\n",
      "Epoch: [63][0/118]\tTime 0.336 (0.336)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][10/118]\tTime 0.615 (0.589)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][20/118]\tTime 0.616 (0.601)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][30/118]\tTime 0.613 (0.605)\tLoss 0.0008 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][40/118]\tTime 0.613 (0.607)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][50/118]\tTime 0.614 (0.609)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][60/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][70/118]\tTime 0.613 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][80/118]\tTime 0.613 (0.611)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][90/118]\tTime 0.611 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][100/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][110/118]\tTime 0.613 (0.612)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3353 (0.3353)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3189 (0.3001)\tPrec@1 92.188 (92.969)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2516 (0.2890)\tPrec@1 94.141 (92.783)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2231 (0.2713)\tPrec@1 93.750 (93.170)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3479 (0.2761)\tPrec@1 92.969 (93.074)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3154 (0.2707)\tPrec@1 92.188 (93.199)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3365 (0.2723)\tPrec@1 92.578 (93.186)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2862 (0.2722)\tPrec@1 93.359 (93.145)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2251 (0.2718)\tPrec@1 93.750 (93.099)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3898 (0.2724)\tPrec@1 91.016 (93.063)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3422 (0.2716)\tPrec@1 92.969 (93.104)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4875 (0.2736)\tPrec@1 89.453 (93.050)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.4504 (0.2758)\tPrec@1 91.016 (93.033)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2960 (0.2770)\tPrec@1 92.969 (92.999)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2121 (0.2775)\tPrec@1 94.141 (93.010)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2605 (0.2770)\tPrec@1 92.969 (93.039)\n",
      " * Prec@1 93.030\n",
      "Epoch: [64][0/118]\tTime 0.346 (0.346)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][10/118]\tTime 0.614 (0.589)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][20/118]\tTime 0.616 (0.601)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][30/118]\tTime 0.614 (0.606)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][40/118]\tTime 0.609 (0.608)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][50/118]\tTime 0.613 (0.609)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][60/118]\tTime 0.615 (0.610)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][70/118]\tTime 0.616 (0.610)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][80/118]\tTime 0.617 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][90/118]\tTime 0.614 (0.611)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][100/118]\tTime 0.611 (0.612)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][110/118]\tTime 0.613 (0.612)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.4297 (0.4297)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.181 (0.201)\tLoss 0.1918 (0.3001)\tPrec@1 94.922 (92.259)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3231 (0.2866)\tPrec@1 93.359 (92.690)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3487 (0.2865)\tPrec@1 91.797 (92.717)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3367 (0.2858)\tPrec@1 91.406 (92.950)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3366 (0.2849)\tPrec@1 91.797 (92.923)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2674 (0.2864)\tPrec@1 93.750 (92.898)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2464 (0.2837)\tPrec@1 94.141 (93.002)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.2761 (0.2842)\tPrec@1 93.359 (92.988)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3780 (0.2808)\tPrec@1 91.797 (93.025)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3678 (0.2832)\tPrec@1 91.406 (92.980)\n",
      "Test: [110/157]\tTime 0.184 (0.184)\tLoss 0.1874 (0.2822)\tPrec@1 94.141 (92.997)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2487 (0.2809)\tPrec@1 93.750 (93.024)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2071 (0.2787)\tPrec@1 93.750 (93.070)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3808 (0.2799)\tPrec@1 91.406 (93.093)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2305 (0.2805)\tPrec@1 93.750 (93.062)\n",
      " * Prec@1 93.040\n",
      "Epoch: [65][0/118]\tTime 0.336 (0.336)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][10/118]\tTime 0.613 (0.588)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][20/118]\tTime 0.614 (0.601)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][30/118]\tTime 0.616 (0.605)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][40/118]\tTime 0.614 (0.608)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][50/118]\tTime 0.610 (0.609)\tLoss 0.0009 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][60/118]\tTime 0.614 (0.610)\tLoss 0.0008 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][70/118]\tTime 0.616 (0.611)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [65][80/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][90/118]\tTime 0.612 (0.611)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][100/118]\tTime 0.611 (0.612)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][110/118]\tTime 0.617 (0.612)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.1560 (0.1560)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3047 (0.2839)\tPrec@1 92.578 (92.862)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2235 (0.2923)\tPrec@1 93.750 (92.522)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2526 (0.2910)\tPrec@1 93.750 (92.629)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2657 (0.2854)\tPrec@1 93.750 (92.731)\n",
      "Test: [50/157]\tTime 0.184 (0.186)\tLoss 0.3840 (0.2892)\tPrec@1 91.797 (92.747)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.1588 (0.2908)\tPrec@1 96.094 (92.725)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2133 (0.2893)\tPrec@1 94.531 (92.760)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.2700 (0.2858)\tPrec@1 93.750 (92.824)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3531 (0.2843)\tPrec@1 92.969 (92.913)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.1669 (0.2877)\tPrec@1 94.531 (92.899)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2412 (0.2877)\tPrec@1 92.578 (92.853)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1886 (0.2871)\tPrec@1 95.703 (92.904)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2680 (0.2857)\tPrec@1 91.016 (92.927)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.1813 (0.2842)\tPrec@1 95.703 (92.980)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2983 (0.2841)\tPrec@1 91.797 (92.961)\n",
      " * Prec@1 93.007\n",
      "Epoch: [66][0/118]\tTime 0.343 (0.343)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][10/118]\tTime 0.612 (0.589)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][20/118]\tTime 0.614 (0.602)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][30/118]\tTime 0.614 (0.606)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][40/118]\tTime 0.615 (0.608)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][50/118]\tTime 0.617 (0.609)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][60/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][70/118]\tTime 0.613 (0.611)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][80/118]\tTime 0.616 (0.611)\tLoss 0.0016 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][90/118]\tTime 0.617 (0.611)\tLoss 0.0034 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][100/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][110/118]\tTime 0.614 (0.612)\tLoss 0.0009 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.398 (0.398)\tLoss 0.3824 (0.3824)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.184 (0.202)\tLoss 0.2790 (0.2721)\tPrec@1 91.406 (93.111)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.1487 (0.2693)\tPrec@1 95.312 (93.062)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.4048 (0.2780)\tPrec@1 90.625 (92.994)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2198 (0.2764)\tPrec@1 94.531 (93.121)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.4315 (0.2765)\tPrec@1 91.406 (93.114)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2785 (0.2712)\tPrec@1 92.969 (93.218)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3177 (0.2659)\tPrec@1 91.797 (93.343)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.2150 (0.2652)\tPrec@1 94.141 (93.350)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3151 (0.2661)\tPrec@1 92.578 (93.338)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3237 (0.2688)\tPrec@1 91.406 (93.290)\n",
      "Test: [110/157]\tTime 0.181 (0.185)\tLoss 0.3250 (0.2727)\tPrec@1 91.016 (93.243)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.3409 (0.2751)\tPrec@1 92.578 (93.188)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2894 (0.2763)\tPrec@1 92.969 (93.133)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3249 (0.2766)\tPrec@1 93.359 (93.141)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3270 (0.2785)\tPrec@1 91.406 (93.070)\n",
      " * Prec@1 93.067\n",
      "Epoch: [67][0/118]\tTime 0.340 (0.340)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][10/118]\tTime 0.614 (0.590)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][20/118]\tTime 0.613 (0.601)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][30/118]\tTime 0.612 (0.606)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][40/118]\tTime 0.608 (0.608)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][50/118]\tTime 0.619 (0.609)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][60/118]\tTime 0.612 (0.610)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][70/118]\tTime 0.610 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][80/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][90/118]\tTime 0.614 (0.611)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][100/118]\tTime 0.613 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][110/118]\tTime 0.612 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.400 (0.400)\tLoss 0.2256 (0.2256)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3324 (0.2280)\tPrec@1 90.625 (93.572)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2556 (0.2590)\tPrec@1 92.578 (93.099)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3170 (0.2666)\tPrec@1 92.578 (92.969)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.1846 (0.2619)\tPrec@1 93.359 (93.074)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2800 (0.2629)\tPrec@1 92.578 (93.076)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2208 (0.2617)\tPrec@1 94.922 (93.103)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2079 (0.2617)\tPrec@1 94.922 (93.172)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2405 (0.2651)\tPrec@1 93.750 (93.157)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2521 (0.2695)\tPrec@1 92.969 (93.106)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3938 (0.2743)\tPrec@1 92.188 (93.058)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3739 (0.2744)\tPrec@1 91.797 (93.036)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2048 (0.2749)\tPrec@1 94.141 (93.040)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.1948 (0.2760)\tPrec@1 94.141 (93.028)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.1474 (0.2759)\tPrec@1 95.312 (93.044)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3163 (0.2777)\tPrec@1 92.188 (93.018)\n",
      " * Prec@1 92.990\n",
      "Epoch: [68][0/118]\tTime 0.352 (0.352)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][10/118]\tTime 0.614 (0.589)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][20/118]\tTime 0.615 (0.601)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][30/118]\tTime 0.615 (0.604)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][40/118]\tTime 0.612 (0.607)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][50/118]\tTime 0.612 (0.608)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][60/118]\tTime 0.611 (0.609)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][70/118]\tTime 0.614 (0.609)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][80/118]\tTime 0.615 (0.610)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][90/118]\tTime 0.612 (0.610)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][100/118]\tTime 0.612 (0.611)\tLoss 0.0015 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][110/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.1716 (0.1716)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.4021 (0.2836)\tPrec@1 91.406 (92.933)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.2124 (0.2734)\tPrec@1 94.922 (93.359)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.2786 (0.2703)\tPrec@1 93.359 (93.233)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2110 (0.2735)\tPrec@1 94.531 (93.112)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.1900 (0.2767)\tPrec@1 94.922 (92.984)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2151 (0.2784)\tPrec@1 94.922 (92.892)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1713 (0.2755)\tPrec@1 95.703 (92.969)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3010 (0.2763)\tPrec@1 92.969 (92.998)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2358 (0.2749)\tPrec@1 93.750 (93.050)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3178 (0.2744)\tPrec@1 92.969 (93.131)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3231 (0.2793)\tPrec@1 92.969 (93.071)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2565 (0.2775)\tPrec@1 92.969 (93.098)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.1865 (0.2791)\tPrec@1 94.141 (93.055)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2164 (0.2806)\tPrec@1 95.312 (93.008)\n",
      "Test: [150/157]\tTime 0.180 (0.184)\tLoss 0.2209 (0.2794)\tPrec@1 94.141 (93.052)\n",
      " * Prec@1 93.088\n",
      "Epoch: [69][0/118]\tTime 0.336 (0.336)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][10/118]\tTime 0.611 (0.588)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][20/118]\tTime 0.613 (0.600)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][30/118]\tTime 0.612 (0.604)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][40/118]\tTime 0.614 (0.606)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][50/118]\tTime 0.612 (0.608)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][60/118]\tTime 0.612 (0.609)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][70/118]\tTime 0.613 (0.609)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][80/118]\tTime 0.618 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][90/118]\tTime 0.616 (0.610)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][100/118]\tTime 0.619 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][110/118]\tTime 0.612 (0.611)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.375 (0.375)\tLoss 0.3481 (0.3481)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3282 (0.2909)\tPrec@1 90.625 (92.756)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2496 (0.2802)\tPrec@1 94.531 (93.006)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2646 (0.2755)\tPrec@1 92.188 (93.120)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2527 (0.2787)\tPrec@1 94.531 (93.140)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2443 (0.2752)\tPrec@1 92.969 (93.137)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2307 (0.2724)\tPrec@1 92.578 (93.148)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2511 (0.2739)\tPrec@1 93.359 (93.134)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.3021 (0.2743)\tPrec@1 91.406 (93.162)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.1925 (0.2730)\tPrec@1 94.141 (93.183)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2722 (0.2759)\tPrec@1 92.969 (93.112)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2291 (0.2771)\tPrec@1 93.750 (93.053)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2813 (0.2749)\tPrec@1 91.797 (93.053)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.1586 (0.2749)\tPrec@1 94.531 (93.070)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2617 (0.2750)\tPrec@1 93.750 (93.052)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3452 (0.2749)\tPrec@1 91.016 (93.023)\n",
      " * Prec@1 93.043\n",
      "Epoch: [70][0/118]\tTime 0.345 (0.345)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][10/118]\tTime 0.613 (0.589)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][20/118]\tTime 0.617 (0.601)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][30/118]\tTime 0.615 (0.605)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][40/118]\tTime 0.611 (0.607)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][50/118]\tTime 0.613 (0.609)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][60/118]\tTime 0.616 (0.610)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][70/118]\tTime 0.615 (0.610)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][80/118]\tTime 0.616 (0.611)\tLoss 0.0021 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][90/118]\tTime 0.619 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][100/118]\tTime 0.613 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][110/118]\tTime 0.617 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.1727 (0.1727)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2674 (0.2389)\tPrec@1 94.141 (93.821)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2912 (0.2654)\tPrec@1 90.625 (93.080)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2935 (0.2812)\tPrec@1 92.969 (92.881)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2631 (0.2741)\tPrec@1 93.359 (93.112)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.4612 (0.2792)\tPrec@1 90.625 (93.130)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2305 (0.2761)\tPrec@1 91.797 (93.014)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3374 (0.2790)\tPrec@1 92.578 (92.914)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3739 (0.2800)\tPrec@1 92.188 (92.867)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3043 (0.2820)\tPrec@1 91.797 (92.831)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2881 (0.2802)\tPrec@1 92.578 (92.911)\n",
      "Test: [110/157]\tTime 0.184 (0.185)\tLoss 0.1998 (0.2777)\tPrec@1 93.750 (92.965)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2699 (0.2771)\tPrec@1 94.141 (92.998)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.1186 (0.2768)\tPrec@1 96.875 (93.008)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2992 (0.2756)\tPrec@1 91.797 (93.013)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2801 (0.2740)\tPrec@1 91.016 (93.013)\n",
      " * Prec@1 93.043\n",
      "Epoch: [71][0/118]\tTime 0.350 (0.350)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][10/118]\tTime 0.616 (0.591)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][20/118]\tTime 0.613 (0.602)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][30/118]\tTime 0.614 (0.606)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][40/118]\tTime 0.616 (0.608)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][50/118]\tTime 0.615 (0.610)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][60/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][70/118]\tTime 0.610 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][80/118]\tTime 0.611 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][90/118]\tTime 0.618 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][100/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][110/118]\tTime 0.616 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.391 (0.391)\tLoss 0.3080 (0.3080)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3210 (0.2996)\tPrec@1 91.797 (92.294)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2428 (0.2822)\tPrec@1 94.141 (92.671)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2650 (0.2804)\tPrec@1 93.359 (92.893)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.3366 (0.2764)\tPrec@1 92.578 (93.026)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2526 (0.2709)\tPrec@1 92.578 (93.114)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2652 (0.2686)\tPrec@1 92.578 (93.142)\n",
      "Test: [70/157]\tTime 0.181 (0.186)\tLoss 0.3372 (0.2718)\tPrec@1 91.016 (93.101)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2023 (0.2718)\tPrec@1 94.141 (93.084)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2263 (0.2720)\tPrec@1 93.750 (93.080)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2470 (0.2713)\tPrec@1 93.359 (93.065)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3206 (0.2742)\tPrec@1 90.234 (92.962)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3368 (0.2761)\tPrec@1 92.188 (92.962)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3057 (0.2742)\tPrec@1 92.578 (93.028)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3191 (0.2755)\tPrec@1 92.188 (93.019)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3740 (0.2743)\tPrec@1 92.188 (93.062)\n",
      " * Prec@1 93.062\n",
      "Epoch: [72][0/118]\tTime 0.336 (0.336)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][10/118]\tTime 0.615 (0.589)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][20/118]\tTime 0.616 (0.601)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][30/118]\tTime 0.613 (0.605)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][40/118]\tTime 0.614 (0.608)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][50/118]\tTime 0.612 (0.609)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][60/118]\tTime 0.609 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][70/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][80/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][90/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][100/118]\tTime 0.616 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][110/118]\tTime 0.615 (0.612)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.391 (0.391)\tLoss 0.4024 (0.4024)\tPrec@1 89.844 (89.844)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3077 (0.2831)\tPrec@1 94.531 (93.075)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2688 (0.2747)\tPrec@1 93.750 (93.266)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.2142 (0.2761)\tPrec@1 94.922 (93.183)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2009 (0.2766)\tPrec@1 95.703 (93.140)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3188 (0.2761)\tPrec@1 92.188 (93.076)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2894 (0.2755)\tPrec@1 92.969 (93.046)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3014 (0.2723)\tPrec@1 92.969 (93.200)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2894 (0.2736)\tPrec@1 92.969 (93.113)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2218 (0.2773)\tPrec@1 94.141 (93.033)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3350 (0.2750)\tPrec@1 91.797 (93.069)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2887 (0.2766)\tPrec@1 93.359 (93.071)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.1882 (0.2737)\tPrec@1 94.922 (93.114)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2642 (0.2730)\tPrec@1 91.797 (93.109)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2056 (0.2746)\tPrec@1 95.312 (93.066)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3818 (0.2753)\tPrec@1 91.797 (93.059)\n",
      " * Prec@1 93.062\n",
      "Epoch: [73][0/118]\tTime 0.339 (0.339)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][10/118]\tTime 0.617 (0.589)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][20/118]\tTime 0.615 (0.601)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][30/118]\tTime 0.619 (0.606)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][40/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][50/118]\tTime 0.614 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][60/118]\tTime 0.616 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][70/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][80/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][90/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][100/118]\tTime 0.617 (0.612)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][110/118]\tTime 0.618 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.376 (0.376)\tLoss 0.3471 (0.3471)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2601 (0.2868)\tPrec@1 93.750 (92.756)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2943 (0.2808)\tPrec@1 91.016 (92.615)\n",
      "Test: [30/157]\tTime 0.184 (0.189)\tLoss 0.3493 (0.2794)\tPrec@1 91.406 (92.717)\n",
      "Test: [40/157]\tTime 0.184 (0.187)\tLoss 0.2299 (0.2787)\tPrec@1 93.359 (92.731)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2652 (0.2764)\tPrec@1 94.531 (92.930)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2760 (0.2811)\tPrec@1 93.359 (92.853)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3189 (0.2785)\tPrec@1 90.625 (92.870)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2561 (0.2759)\tPrec@1 93.750 (92.945)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.1721 (0.2729)\tPrec@1 95.312 (92.982)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2293 (0.2735)\tPrec@1 94.141 (92.980)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3131 (0.2753)\tPrec@1 92.188 (92.962)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.2385 (0.2710)\tPrec@1 93.359 (93.059)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.1670 (0.2728)\tPrec@1 95.703 (93.028)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3236 (0.2740)\tPrec@1 92.969 (93.019)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2925 (0.2745)\tPrec@1 93.359 (93.005)\n",
      " * Prec@1 93.058\n",
      "Epoch: [74][0/118]\tTime 0.348 (0.348)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][10/118]\tTime 0.614 (0.590)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][20/118]\tTime 0.615 (0.602)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][30/118]\tTime 0.617 (0.606)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][40/118]\tTime 0.612 (0.608)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][50/118]\tTime 0.615 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][60/118]\tTime 0.616 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][70/118]\tTime 0.609 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][80/118]\tTime 0.616 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][90/118]\tTime 0.616 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][100/118]\tTime 0.614 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][110/118]\tTime 0.611 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.2908 (0.2908)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3281 (0.2892)\tPrec@1 92.188 (92.649)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3462 (0.2895)\tPrec@1 92.969 (92.634)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3129 (0.2860)\tPrec@1 92.969 (92.717)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3465 (0.2891)\tPrec@1 91.016 (92.740)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2406 (0.2771)\tPrec@1 93.750 (92.992)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2126 (0.2738)\tPrec@1 92.578 (93.097)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2182 (0.2730)\tPrec@1 94.531 (93.117)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2078 (0.2696)\tPrec@1 95.703 (93.215)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4088 (0.2675)\tPrec@1 91.797 (93.274)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3702 (0.2665)\tPrec@1 91.406 (93.305)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3098 (0.2670)\tPrec@1 91.406 (93.268)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2989 (0.2689)\tPrec@1 91.797 (93.240)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2047 (0.2714)\tPrec@1 93.750 (93.172)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4255 (0.2743)\tPrec@1 90.625 (93.093)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2072 (0.2758)\tPrec@1 94.141 (93.052)\n",
      " * Prec@1 93.080\n",
      "Epoch: [75][0/118]\tTime 0.344 (0.344)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][10/118]\tTime 0.615 (0.590)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][20/118]\tTime 0.615 (0.602)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][30/118]\tTime 0.611 (0.606)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][40/118]\tTime 0.614 (0.608)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][50/118]\tTime 0.615 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][60/118]\tTime 0.615 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][70/118]\tTime 0.609 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][80/118]\tTime 0.613 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][90/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][100/118]\tTime 0.614 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][110/118]\tTime 0.614 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.1861 (0.1861)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3629 (0.2905)\tPrec@1 93.359 (93.075)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2789 (0.2693)\tPrec@1 92.188 (93.136)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2823 (0.2754)\tPrec@1 92.578 (92.969)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2003 (0.2688)\tPrec@1 94.922 (93.169)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.1725 (0.2702)\tPrec@1 95.312 (93.191)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2648 (0.2695)\tPrec@1 94.141 (93.180)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2021 (0.2690)\tPrec@1 94.922 (93.205)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2096 (0.2695)\tPrec@1 94.922 (93.200)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2859 (0.2720)\tPrec@1 92.578 (93.059)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2366 (0.2709)\tPrec@1 92.578 (93.104)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.2140 (0.2717)\tPrec@1 95.312 (93.095)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2033 (0.2697)\tPrec@1 94.141 (93.130)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2911 (0.2723)\tPrec@1 90.625 (93.067)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.2469 (0.2700)\tPrec@1 94.141 (93.110)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4334 (0.2709)\tPrec@1 90.234 (93.085)\n",
      " * Prec@1 93.070\n",
      "Epoch: [76][0/118]\tTime 0.341 (0.341)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][10/118]\tTime 0.616 (0.591)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [76][20/118]\tTime 0.613 (0.602)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][30/118]\tTime 0.613 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][40/118]\tTime 0.610 (0.608)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][50/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][60/118]\tTime 0.619 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][70/118]\tTime 0.617 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][80/118]\tTime 0.615 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][90/118]\tTime 0.617 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][100/118]\tTime 0.614 (0.612)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][110/118]\tTime 0.615 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3371 (0.3371)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.1516 (0.2789)\tPrec@1 95.312 (93.182)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2552 (0.2707)\tPrec@1 94.141 (93.304)\n",
      "Test: [30/157]\tTime 0.184 (0.189)\tLoss 0.3268 (0.2691)\tPrec@1 92.969 (93.107)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3288 (0.2681)\tPrec@1 91.406 (93.178)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.2504 (0.2671)\tPrec@1 92.188 (93.183)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2837 (0.2687)\tPrec@1 91.406 (93.148)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2006 (0.2700)\tPrec@1 95.312 (93.161)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2159 (0.2714)\tPrec@1 94.922 (93.084)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3658 (0.2731)\tPrec@1 91.797 (93.016)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2897 (0.2714)\tPrec@1 92.578 (93.073)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4342 (0.2720)\tPrec@1 90.625 (93.092)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.2460 (0.2702)\tPrec@1 92.969 (93.104)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2351 (0.2691)\tPrec@1 94.531 (93.166)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2608 (0.2712)\tPrec@1 94.141 (93.110)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2419 (0.2732)\tPrec@1 92.969 (93.062)\n",
      " * Prec@1 93.028\n",
      "Epoch: [77][0/118]\tTime 0.337 (0.337)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][10/118]\tTime 0.614 (0.590)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][20/118]\tTime 0.618 (0.602)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][30/118]\tTime 0.616 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][40/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][50/118]\tTime 0.616 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][60/118]\tTime 0.618 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][70/118]\tTime 0.615 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][80/118]\tTime 0.611 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][90/118]\tTime 0.619 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][100/118]\tTime 0.614 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][110/118]\tTime 0.613 (0.612)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.373 (0.373)\tLoss 0.3237 (0.3237)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.2114 (0.2565)\tPrec@1 93.359 (93.395)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3030 (0.2545)\tPrec@1 91.797 (93.415)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.1143 (0.2691)\tPrec@1 95.703 (93.145)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2327 (0.2723)\tPrec@1 92.188 (93.064)\n",
      "Test: [50/157]\tTime 0.181 (0.187)\tLoss 0.2648 (0.2726)\tPrec@1 94.922 (93.053)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3032 (0.2727)\tPrec@1 92.188 (93.033)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2724 (0.2689)\tPrec@1 91.797 (93.123)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2809 (0.2648)\tPrec@1 92.188 (93.205)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3718 (0.2654)\tPrec@1 91.797 (93.235)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2273 (0.2666)\tPrec@1 93.359 (93.181)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2548 (0.2663)\tPrec@1 94.922 (93.197)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3359 (0.2679)\tPrec@1 91.406 (93.130)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3730 (0.2687)\tPrec@1 92.969 (93.130)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2388 (0.2672)\tPrec@1 94.141 (93.160)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3076 (0.2690)\tPrec@1 93.750 (93.124)\n",
      " * Prec@1 93.088\n",
      "Epoch: [78][0/118]\tTime 0.341 (0.341)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][10/118]\tTime 0.615 (0.590)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][20/118]\tTime 0.613 (0.602)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][30/118]\tTime 0.615 (0.606)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][40/118]\tTime 0.617 (0.608)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][50/118]\tTime 0.615 (0.610)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][60/118]\tTime 0.616 (0.610)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][70/118]\tTime 0.607 (0.611)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][80/118]\tTime 0.616 (0.612)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][90/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][100/118]\tTime 0.612 (0.612)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][110/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3148 (0.3148)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.3376 (0.2608)\tPrec@1 92.188 (93.004)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2719 (0.2594)\tPrec@1 92.578 (93.285)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3280 (0.2609)\tPrec@1 92.578 (93.309)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.3218 (0.2695)\tPrec@1 92.578 (93.131)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.4281 (0.2715)\tPrec@1 89.453 (93.107)\n",
      "Test: [60/157]\tTime 0.182 (0.185)\tLoss 0.1849 (0.2697)\tPrec@1 92.578 (93.071)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3401 (0.2710)\tPrec@1 92.188 (93.029)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3430 (0.2710)\tPrec@1 92.578 (93.065)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.2566 (0.2714)\tPrec@1 92.188 (93.055)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.1387 (0.2674)\tPrec@1 96.094 (93.174)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4510 (0.2680)\tPrec@1 89.844 (93.166)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2620 (0.2685)\tPrec@1 92.969 (93.166)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3725 (0.2701)\tPrec@1 91.406 (93.106)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2436 (0.2710)\tPrec@1 94.141 (93.099)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3252 (0.2706)\tPrec@1 91.797 (93.111)\n",
      " * Prec@1 93.118\n",
      "Epoch: [79][0/118]\tTime 0.344 (0.344)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][10/118]\tTime 0.615 (0.589)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][20/118]\tTime 0.611 (0.600)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][30/118]\tTime 0.612 (0.604)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][40/118]\tTime 0.614 (0.607)\tLoss 0.0023 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][50/118]\tTime 0.613 (0.608)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][60/118]\tTime 0.617 (0.609)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][70/118]\tTime 0.615 (0.609)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][80/118]\tTime 0.613 (0.610)\tLoss 0.0022 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][90/118]\tTime 0.615 (0.610)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][100/118]\tTime 0.618 (0.611)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][110/118]\tTime 0.606 (0.611)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.1949 (0.1949)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2717 (0.2518)\tPrec@1 92.969 (93.537)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2107 (0.2560)\tPrec@1 94.531 (93.415)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.2453 (0.2655)\tPrec@1 92.969 (93.196)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3267 (0.2660)\tPrec@1 93.750 (93.264)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2408 (0.2665)\tPrec@1 92.969 (93.206)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2652 (0.2689)\tPrec@1 94.922 (93.225)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2930 (0.2714)\tPrec@1 94.141 (93.194)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2342 (0.2645)\tPrec@1 92.969 (93.253)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.2541 (0.2665)\tPrec@1 94.141 (93.222)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2397 (0.2669)\tPrec@1 94.141 (93.170)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3769 (0.2677)\tPrec@1 90.234 (93.127)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2392 (0.2676)\tPrec@1 94.922 (93.140)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3959 (0.2726)\tPrec@1 92.188 (93.070)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3642 (0.2730)\tPrec@1 91.016 (93.085)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2879 (0.2734)\tPrec@1 94.141 (93.090)\n",
      " * Prec@1 93.112\n",
      "Epoch: [80][0/118]\tTime 0.345 (0.345)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][10/118]\tTime 0.610 (0.589)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][20/118]\tTime 0.614 (0.600)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][30/118]\tTime 0.613 (0.605)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][40/118]\tTime 0.611 (0.607)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][50/118]\tTime 0.612 (0.608)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][60/118]\tTime 0.608 (0.609)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][70/118]\tTime 0.613 (0.609)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][80/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][90/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][100/118]\tTime 0.612 (0.611)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][110/118]\tTime 0.615 (0.611)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.2808 (0.2808)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3715 (0.2986)\tPrec@1 91.016 (92.365)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2625 (0.2852)\tPrec@1 94.531 (92.708)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1973 (0.2699)\tPrec@1 95.312 (93.221)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2815 (0.2658)\tPrec@1 92.578 (93.302)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2077 (0.2663)\tPrec@1 94.531 (93.222)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2104 (0.2680)\tPrec@1 92.578 (93.103)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3062 (0.2654)\tPrec@1 91.797 (93.095)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2028 (0.2670)\tPrec@1 94.922 (93.113)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.1199 (0.2667)\tPrec@1 96.875 (93.136)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2758 (0.2665)\tPrec@1 93.750 (93.162)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3466 (0.2704)\tPrec@1 90.625 (93.071)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2618 (0.2709)\tPrec@1 92.188 (93.098)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3472 (0.2714)\tPrec@1 88.672 (93.091)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2469 (0.2699)\tPrec@1 94.531 (93.146)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3617 (0.2732)\tPrec@1 89.844 (93.090)\n",
      " * Prec@1 93.105\n",
      "Epoch: [81][0/118]\tTime 0.344 (0.344)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][10/118]\tTime 0.616 (0.590)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][20/118]\tTime 0.615 (0.601)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][30/118]\tTime 0.611 (0.605)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][40/118]\tTime 0.612 (0.607)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][50/118]\tTime 0.614 (0.608)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][60/118]\tTime 0.612 (0.609)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][70/118]\tTime 0.615 (0.610)\tLoss 0.0027 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][80/118]\tTime 0.612 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][90/118]\tTime 0.613 (0.610)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][100/118]\tTime 0.611 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][110/118]\tTime 0.613 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.395 (0.395)\tLoss 0.2465 (0.2465)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2441 (0.2645)\tPrec@1 93.750 (93.182)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3089 (0.2713)\tPrec@1 92.969 (93.304)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3114 (0.2703)\tPrec@1 91.797 (93.271)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3199 (0.2655)\tPrec@1 92.578 (93.331)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2501 (0.2647)\tPrec@1 92.578 (93.290)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.1697 (0.2607)\tPrec@1 96.875 (93.359)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3842 (0.2639)\tPrec@1 90.234 (93.310)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2487 (0.2599)\tPrec@1 92.188 (93.379)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2701 (0.2646)\tPrec@1 93.750 (93.278)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2958 (0.2679)\tPrec@1 93.750 (93.216)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3446 (0.2690)\tPrec@1 91.797 (93.190)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1916 (0.2683)\tPrec@1 95.312 (93.172)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3057 (0.2717)\tPrec@1 92.969 (93.106)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2105 (0.2719)\tPrec@1 94.141 (93.099)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2129 (0.2690)\tPrec@1 94.141 (93.150)\n",
      " * Prec@1 93.135\n",
      "Epoch: [82][0/118]\tTime 0.348 (0.348)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][10/118]\tTime 0.615 (0.589)\tLoss 0.0018 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][20/118]\tTime 0.615 (0.601)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][30/118]\tTime 0.615 (0.605)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][40/118]\tTime 0.616 (0.607)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][50/118]\tTime 0.614 (0.608)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][60/118]\tTime 0.616 (0.609)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][70/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][80/118]\tTime 0.609 (0.610)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][90/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][100/118]\tTime 0.607 (0.611)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][110/118]\tTime 0.613 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.2544 (0.2544)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.1881 (0.2885)\tPrec@1 95.703 (92.436)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2184 (0.2625)\tPrec@1 94.141 (93.211)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3065 (0.2744)\tPrec@1 92.578 (92.981)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2499 (0.2793)\tPrec@1 93.359 (92.931)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.1973 (0.2753)\tPrec@1 94.531 (93.068)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2323 (0.2801)\tPrec@1 94.531 (93.084)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1298 (0.2747)\tPrec@1 96.094 (93.134)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.1605 (0.2730)\tPrec@1 95.312 (93.171)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2790 (0.2703)\tPrec@1 91.797 (93.256)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.4329 (0.2722)\tPrec@1 89.844 (93.247)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2046 (0.2715)\tPrec@1 93.359 (93.212)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3116 (0.2718)\tPrec@1 92.188 (93.127)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2606 (0.2742)\tPrec@1 94.531 (93.064)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2873 (0.2744)\tPrec@1 93.750 (93.091)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2350 (0.2748)\tPrec@1 92.578 (93.083)\n",
      " * Prec@1 93.055\n",
      "Epoch: [83][0/118]\tTime 0.345 (0.345)\tLoss 0.0020 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][10/118]\tTime 0.613 (0.588)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][20/118]\tTime 0.612 (0.600)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][30/118]\tTime 0.615 (0.604)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][40/118]\tTime 0.613 (0.606)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][50/118]\tTime 0.616 (0.608)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][60/118]\tTime 0.610 (0.609)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][70/118]\tTime 0.614 (0.609)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [83][80/118]\tTime 0.612 (0.610)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][90/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][100/118]\tTime 0.616 (0.610)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][110/118]\tTime 0.612 (0.611)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.3449 (0.3449)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2231 (0.2691)\tPrec@1 92.969 (92.898)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4145 (0.2942)\tPrec@1 91.016 (92.560)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2734 (0.2807)\tPrec@1 93.359 (92.918)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2683 (0.2826)\tPrec@1 93.359 (92.854)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.1742 (0.2728)\tPrec@1 95.703 (93.107)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2104 (0.2756)\tPrec@1 94.141 (93.065)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3496 (0.2780)\tPrec@1 91.797 (93.018)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3501 (0.2783)\tPrec@1 92.188 (93.003)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2533 (0.2784)\tPrec@1 94.531 (93.012)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3355 (0.2743)\tPrec@1 92.188 (93.139)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.2990 (0.2737)\tPrec@1 93.359 (93.134)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3493 (0.2736)\tPrec@1 91.406 (93.117)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3512 (0.2747)\tPrec@1 92.969 (93.094)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3086 (0.2728)\tPrec@1 91.797 (93.129)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2415 (0.2736)\tPrec@1 94.531 (93.111)\n",
      " * Prec@1 93.145\n",
      "Epoch: [84][0/118]\tTime 0.358 (0.358)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][10/118]\tTime 0.615 (0.590)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][20/118]\tTime 0.614 (0.601)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][30/118]\tTime 0.615 (0.605)\tLoss 0.0021 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][40/118]\tTime 0.613 (0.607)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][50/118]\tTime 0.611 (0.609)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][60/118]\tTime 0.611 (0.609)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][70/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][80/118]\tTime 0.615 (0.610)\tLoss 0.0021 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][90/118]\tTime 0.613 (0.611)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][100/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][110/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.2209 (0.2209)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.2921 (0.2625)\tPrec@1 93.359 (93.075)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.1603 (0.2531)\tPrec@1 95.703 (93.378)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.1796 (0.2452)\tPrec@1 95.312 (93.548)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2613 (0.2514)\tPrec@1 93.359 (93.540)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2546 (0.2563)\tPrec@1 93.359 (93.444)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.2496 (0.2619)\tPrec@1 93.750 (93.302)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3638 (0.2650)\tPrec@1 92.188 (93.255)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4059 (0.2720)\tPrec@1 91.016 (93.147)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2346 (0.2711)\tPrec@1 94.531 (93.166)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2725 (0.2687)\tPrec@1 92.188 (93.197)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.2691 (0.2696)\tPrec@1 92.969 (93.173)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2310 (0.2712)\tPrec@1 93.359 (93.133)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3014 (0.2729)\tPrec@1 92.188 (93.124)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2903 (0.2744)\tPrec@1 92.188 (93.093)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2838 (0.2753)\tPrec@1 93.359 (93.150)\n",
      " * Prec@1 93.138\n",
      "Epoch: [85][0/118]\tTime 0.347 (0.347)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][10/118]\tTime 0.613 (0.589)\tLoss 0.0025 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][20/118]\tTime 0.613 (0.601)\tLoss 0.0020 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][30/118]\tTime 0.614 (0.605)\tLoss 0.0018 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][40/118]\tTime 0.614 (0.607)\tLoss 0.0016 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][50/118]\tTime 0.615 (0.608)\tLoss 0.0013 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][60/118]\tTime 0.609 (0.609)\tLoss 0.0016 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][70/118]\tTime 0.615 (0.610)\tLoss 0.0014 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][80/118]\tTime 0.614 (0.610)\tLoss 0.0017 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][90/118]\tTime 0.614 (0.610)\tLoss 0.0016 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][100/118]\tTime 0.614 (0.611)\tLoss 0.0018 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][110/118]\tTime 0.615 (0.611)\tLoss 0.0014 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.2208 (0.2208)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2595 (0.2720)\tPrec@1 94.531 (93.217)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.4057 (0.2833)\tPrec@1 90.234 (93.211)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.1442 (0.2897)\tPrec@1 94.531 (92.956)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3037 (0.2847)\tPrec@1 91.016 (92.950)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.1616 (0.2775)\tPrec@1 95.703 (93.099)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.1694 (0.2787)\tPrec@1 94.141 (93.039)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.1734 (0.2710)\tPrec@1 95.312 (93.178)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2721 (0.2732)\tPrec@1 92.578 (93.104)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2711 (0.2787)\tPrec@1 92.188 (93.007)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3652 (0.2778)\tPrec@1 90.625 (93.004)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3285 (0.2798)\tPrec@1 93.359 (92.976)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3030 (0.2793)\tPrec@1 92.578 (92.991)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2438 (0.2777)\tPrec@1 93.750 (93.019)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3215 (0.2772)\tPrec@1 90.625 (93.041)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2452 (0.2762)\tPrec@1 92.578 (93.072)\n",
      " * Prec@1 93.095\n",
      "Epoch: [86][0/118]\tTime 0.343 (0.343)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][10/118]\tTime 0.616 (0.590)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][20/118]\tTime 0.614 (0.602)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][30/118]\tTime 0.615 (0.606)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][40/118]\tTime 0.619 (0.608)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][50/118]\tTime 0.616 (0.609)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][60/118]\tTime 0.612 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][70/118]\tTime 0.615 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][80/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][90/118]\tTime 0.613 (0.612)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][100/118]\tTime 0.612 (0.612)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][110/118]\tTime 0.618 (0.612)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2255 (0.2255)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2222 (0.2372)\tPrec@1 94.531 (93.714)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3188 (0.2521)\tPrec@1 90.625 (93.508)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3075 (0.2706)\tPrec@1 91.016 (93.183)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.2493 (0.2681)\tPrec@1 93.750 (93.274)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3100 (0.2737)\tPrec@1 92.578 (93.099)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2783 (0.2772)\tPrec@1 94.531 (93.090)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2982 (0.2769)\tPrec@1 93.359 (93.112)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2626 (0.2792)\tPrec@1 94.141 (93.109)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2661 (0.2822)\tPrec@1 93.750 (93.055)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.1267 (0.2789)\tPrec@1 96.875 (93.166)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3317 (0.2804)\tPrec@1 91.016 (93.053)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2516 (0.2783)\tPrec@1 92.188 (93.095)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2991 (0.2806)\tPrec@1 92.578 (93.043)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.1439 (0.2789)\tPrec@1 94.141 (93.055)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2235 (0.2779)\tPrec@1 96.094 (93.098)\n",
      " * Prec@1 93.078\n",
      "Epoch: [87][0/118]\tTime 0.343 (0.343)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][10/118]\tTime 0.617 (0.590)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][20/118]\tTime 0.616 (0.602)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][30/118]\tTime 0.615 (0.606)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][40/118]\tTime 0.615 (0.608)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][50/118]\tTime 0.617 (0.610)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][60/118]\tTime 0.616 (0.610)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][70/118]\tTime 0.612 (0.611)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][80/118]\tTime 0.617 (0.612)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][90/118]\tTime 0.614 (0.612)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][100/118]\tTime 0.615 (0.612)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][110/118]\tTime 0.617 (0.613)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.2109 (0.2109)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2821 (0.2532)\tPrec@1 93.750 (94.141)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2514 (0.2450)\tPrec@1 92.969 (93.992)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3822 (0.2626)\tPrec@1 91.406 (93.649)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.2796 (0.2708)\tPrec@1 92.969 (93.436)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4025 (0.2796)\tPrec@1 91.016 (93.191)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.2928 (0.2809)\tPrec@1 92.969 (93.142)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2909 (0.2854)\tPrec@1 93.359 (93.029)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2666 (0.2877)\tPrec@1 93.359 (93.051)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2072 (0.2834)\tPrec@1 93.750 (93.140)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3012 (0.2866)\tPrec@1 92.578 (93.069)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2502 (0.2874)\tPrec@1 94.141 (93.018)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3202 (0.2864)\tPrec@1 91.797 (93.027)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2918 (0.2858)\tPrec@1 92.578 (93.031)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3199 (0.2841)\tPrec@1 93.359 (93.091)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3314 (0.2847)\tPrec@1 92.578 (93.080)\n",
      " * Prec@1 93.103\n",
      "Epoch: [88][0/118]\tTime 0.347 (0.347)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][10/118]\tTime 0.613 (0.590)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][20/118]\tTime 0.613 (0.602)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][30/118]\tTime 0.620 (0.606)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][40/118]\tTime 0.616 (0.608)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][50/118]\tTime 0.616 (0.610)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][60/118]\tTime 0.616 (0.610)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][70/118]\tTime 0.618 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][80/118]\tTime 0.617 (0.612)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][90/118]\tTime 0.615 (0.612)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][100/118]\tTime 0.616 (0.612)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][110/118]\tTime 0.612 (0.612)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.1531 (0.1531)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2666 (0.3029)\tPrec@1 92.188 (92.543)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2775 (0.2877)\tPrec@1 92.969 (92.727)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2368 (0.2842)\tPrec@1 94.531 (92.780)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3528 (0.2916)\tPrec@1 91.797 (92.654)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.0945 (0.2891)\tPrec@1 97.266 (92.708)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.2846 (0.2886)\tPrec@1 93.750 (92.738)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2224 (0.2919)\tPrec@1 95.312 (92.661)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2886 (0.2888)\tPrec@1 92.969 (92.790)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2948 (0.2879)\tPrec@1 92.578 (92.788)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.1679 (0.2833)\tPrec@1 95.703 (92.922)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2879 (0.2834)\tPrec@1 94.141 (92.955)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2390 (0.2825)\tPrec@1 94.922 (92.991)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.1935 (0.2820)\tPrec@1 95.703 (93.031)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2267 (0.2820)\tPrec@1 93.359 (93.013)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2419 (0.2808)\tPrec@1 94.531 (93.072)\n",
      " * Prec@1 93.088\n",
      "Epoch: [89][0/118]\tTime 0.351 (0.351)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][10/118]\tTime 0.617 (0.592)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][20/118]\tTime 0.613 (0.603)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][30/118]\tTime 0.612 (0.607)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][40/118]\tTime 0.609 (0.609)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][50/118]\tTime 0.614 (0.610)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][60/118]\tTime 0.614 (0.611)\tLoss 0.0024 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][70/118]\tTime 0.617 (0.611)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][80/118]\tTime 0.615 (0.612)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][90/118]\tTime 0.616 (0.612)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][100/118]\tTime 0.611 (0.612)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][110/118]\tTime 0.616 (0.612)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.377 (0.377)\tLoss 0.2448 (0.2448)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2883 (0.2596)\tPrec@1 93.359 (93.288)\n",
      "Test: [20/157]\tTime 0.184 (0.192)\tLoss 0.3559 (0.2689)\tPrec@1 89.453 (93.192)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2105 (0.2678)\tPrec@1 93.750 (93.120)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2334 (0.2652)\tPrec@1 94.922 (93.407)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2027 (0.2637)\tPrec@1 94.141 (93.344)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3168 (0.2672)\tPrec@1 91.016 (93.257)\n",
      "Test: [70/157]\tTime 0.184 (0.185)\tLoss 0.1873 (0.2711)\tPrec@1 95.312 (93.194)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2258 (0.2680)\tPrec@1 94.531 (93.191)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2346 (0.2692)\tPrec@1 93.750 (93.196)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2312 (0.2680)\tPrec@1 94.531 (93.220)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3222 (0.2707)\tPrec@1 91.016 (93.176)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.2062 (0.2710)\tPrec@1 95.312 (93.188)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3523 (0.2736)\tPrec@1 92.969 (93.160)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3734 (0.2763)\tPrec@1 93.359 (93.124)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2452 (0.2762)\tPrec@1 93.750 (93.114)\n",
      " * Prec@1 93.105\n",
      "Epoch: [90][0/118]\tTime 0.342 (0.342)\tLoss 0.0020 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][10/118]\tTime 0.618 (0.591)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][20/118]\tTime 0.615 (0.602)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][30/118]\tTime 0.615 (0.606)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][40/118]\tTime 0.613 (0.608)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][50/118]\tTime 0.615 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][60/118]\tTime 0.616 (0.610)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][70/118]\tTime 0.617 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][80/118]\tTime 0.618 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][90/118]\tTime 0.618 (0.612)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][100/118]\tTime 0.612 (0.612)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][110/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.400 (0.400)\tLoss 0.1737 (0.1737)\tPrec@1 94.922 (94.922)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3178 (0.2374)\tPrec@1 92.578 (93.999)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2892 (0.2528)\tPrec@1 92.969 (93.490)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.2090 (0.2550)\tPrec@1 94.922 (93.662)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2308 (0.2615)\tPrec@1 93.750 (93.531)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3289 (0.2685)\tPrec@1 94.141 (93.520)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3541 (0.2714)\tPrec@1 91.797 (93.449)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3180 (0.2761)\tPrec@1 92.188 (93.354)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2499 (0.2778)\tPrec@1 94.922 (93.306)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.1516 (0.2764)\tPrec@1 95.312 (93.351)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2660 (0.2795)\tPrec@1 92.969 (93.239)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3674 (0.2840)\tPrec@1 91.406 (93.159)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.1902 (0.2834)\tPrec@1 94.531 (93.156)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3013 (0.2826)\tPrec@1 93.750 (93.172)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2454 (0.2816)\tPrec@1 93.750 (93.154)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.1784 (0.2804)\tPrec@1 93.750 (93.150)\n",
      " * Prec@1 93.130\n",
      "Epoch: [91][0/118]\tTime 0.337 (0.337)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][10/118]\tTime 0.615 (0.589)\tLoss 0.0021 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][20/118]\tTime 0.615 (0.601)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][30/118]\tTime 0.618 (0.606)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][40/118]\tTime 0.615 (0.608)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][50/118]\tTime 0.615 (0.609)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][60/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][70/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][80/118]\tTime 0.614 (0.611)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][90/118]\tTime 0.615 (0.612)\tLoss 0.0024 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][100/118]\tTime 0.617 (0.612)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][110/118]\tTime 0.612 (0.612)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.1820 (0.1820)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2424 (0.2534)\tPrec@1 94.531 (93.714)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2828 (0.2655)\tPrec@1 92.188 (93.527)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3839 (0.2648)\tPrec@1 91.406 (93.498)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2703 (0.2712)\tPrec@1 92.969 (93.426)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.4043 (0.2818)\tPrec@1 91.406 (93.344)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2462 (0.2769)\tPrec@1 93.359 (93.372)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2826 (0.2813)\tPrec@1 94.922 (93.255)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.3062 (0.2817)\tPrec@1 93.750 (93.215)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2875 (0.2832)\tPrec@1 92.188 (93.209)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2733 (0.2829)\tPrec@1 93.750 (93.224)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2806 (0.2812)\tPrec@1 93.359 (93.205)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3011 (0.2843)\tPrec@1 93.750 (93.095)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2673 (0.2844)\tPrec@1 93.359 (93.097)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3440 (0.2846)\tPrec@1 92.188 (93.077)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2049 (0.2844)\tPrec@1 94.141 (93.057)\n",
      " * Prec@1 93.095\n",
      "Epoch: [92][0/118]\tTime 0.360 (0.360)\tLoss 0.0022 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][10/118]\tTime 0.614 (0.592)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][20/118]\tTime 0.613 (0.603)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][30/118]\tTime 0.613 (0.607)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][40/118]\tTime 0.618 (0.608)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][50/118]\tTime 0.615 (0.610)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][60/118]\tTime 0.611 (0.610)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][70/118]\tTime 0.618 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][80/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][90/118]\tTime 0.614 (0.612)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][100/118]\tTime 0.616 (0.612)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][110/118]\tTime 0.614 (0.612)\tLoss 0.0023 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.3237 (0.3237)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2952 (0.2940)\tPrec@1 93.750 (92.898)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2552 (0.2868)\tPrec@1 93.750 (93.080)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.1616 (0.2850)\tPrec@1 95.703 (93.070)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3023 (0.2853)\tPrec@1 90.234 (93.064)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3309 (0.2839)\tPrec@1 91.406 (93.068)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.4077 (0.2821)\tPrec@1 91.016 (93.090)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3072 (0.2837)\tPrec@1 90.625 (93.018)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2534 (0.2830)\tPrec@1 92.188 (93.022)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.4170 (0.2869)\tPrec@1 91.016 (92.973)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2508 (0.2895)\tPrec@1 92.578 (92.957)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2112 (0.2883)\tPrec@1 95.312 (92.962)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1785 (0.2852)\tPrec@1 93.359 (93.011)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.1970 (0.2836)\tPrec@1 95.312 (93.031)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2475 (0.2837)\tPrec@1 93.359 (93.032)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2064 (0.2813)\tPrec@1 94.141 (93.090)\n",
      " * Prec@1 93.088\n",
      "Epoch: [93][0/118]\tTime 0.338 (0.338)\tLoss 0.0022 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][10/118]\tTime 0.614 (0.590)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][20/118]\tTime 0.614 (0.602)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][30/118]\tTime 0.616 (0.606)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][40/118]\tTime 0.618 (0.608)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][50/118]\tTime 0.617 (0.609)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][60/118]\tTime 0.613 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][70/118]\tTime 0.621 (0.611)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][80/118]\tTime 0.619 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][90/118]\tTime 0.616 (0.612)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][100/118]\tTime 0.613 (0.612)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][110/118]\tTime 0.612 (0.612)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.2385 (0.2385)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2884 (0.2880)\tPrec@1 92.969 (93.324)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3314 (0.2863)\tPrec@1 91.797 (93.155)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1920 (0.2854)\tPrec@1 94.531 (93.082)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2965 (0.2795)\tPrec@1 91.797 (93.121)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3216 (0.2843)\tPrec@1 93.359 (93.053)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2001 (0.2842)\tPrec@1 95.703 (93.122)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1753 (0.2852)\tPrec@1 93.359 (93.051)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.3815 (0.2866)\tPrec@1 92.578 (93.007)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3248 (0.2877)\tPrec@1 92.578 (92.986)\n",
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.2414 (0.2829)\tPrec@1 94.531 (93.073)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.2050 (0.2838)\tPrec@1 95.703 (93.050)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2580 (0.2842)\tPrec@1 93.359 (93.024)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3542 (0.2848)\tPrec@1 92.969 (92.999)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3676 (0.2850)\tPrec@1 92.188 (92.988)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.1896 (0.2821)\tPrec@1 94.531 (93.036)\n",
      " * Prec@1 93.045\n",
      "Epoch: [94][0/118]\tTime 0.336 (0.336)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][10/118]\tTime 0.611 (0.590)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [94][20/118]\tTime 0.612 (0.602)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][30/118]\tTime 0.617 (0.606)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][40/118]\tTime 0.617 (0.608)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][50/118]\tTime 0.616 (0.610)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][60/118]\tTime 0.621 (0.611)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][70/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][80/118]\tTime 0.612 (0.612)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][90/118]\tTime 0.615 (0.612)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][100/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [94][110/118]\tTime 0.611 (0.613)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.401 (0.401)\tLoss 0.1520 (0.1520)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.183 (0.203)\tLoss 0.1979 (0.3025)\tPrec@1 94.531 (92.827)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3730 (0.2852)\tPrec@1 91.406 (93.118)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3522 (0.2919)\tPrec@1 91.016 (93.057)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.3092 (0.2895)\tPrec@1 94.141 (93.083)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4143 (0.2888)\tPrec@1 91.406 (93.045)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2738 (0.2915)\tPrec@1 92.578 (92.994)\n",
      "Test: [70/157]\tTime 0.181 (0.186)\tLoss 0.2558 (0.2885)\tPrec@1 92.969 (92.963)\n",
      "Test: [80/157]\tTime 0.183 (0.186)\tLoss 0.2816 (0.2872)\tPrec@1 92.188 (92.974)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2468 (0.2895)\tPrec@1 93.359 (92.917)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2864 (0.2854)\tPrec@1 93.359 (93.042)\n",
      "Test: [110/157]\tTime 0.184 (0.185)\tLoss 0.2351 (0.2856)\tPrec@1 93.750 (93.046)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3498 (0.2880)\tPrec@1 92.578 (92.959)\n",
      "Test: [130/157]\tTime 0.183 (0.185)\tLoss 0.3644 (0.2887)\tPrec@1 92.969 (92.960)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2326 (0.2859)\tPrec@1 92.969 (93.002)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2565 (0.2859)\tPrec@1 94.922 (93.008)\n",
      " * Prec@1 93.065\n",
      "Epoch: [95][0/118]\tTime 0.347 (0.347)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][10/118]\tTime 0.615 (0.590)\tLoss 0.0023 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][20/118]\tTime 0.615 (0.602)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][30/118]\tTime 0.620 (0.606)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][40/118]\tTime 0.612 (0.608)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][50/118]\tTime 0.614 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][60/118]\tTime 0.617 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][70/118]\tTime 0.616 (0.611)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][80/118]\tTime 0.615 (0.612)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][90/118]\tTime 0.613 (0.612)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][100/118]\tTime 0.618 (0.612)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][110/118]\tTime 0.617 (0.612)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.1770 (0.1770)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3192 (0.2884)\tPrec@1 92.578 (93.572)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3868 (0.2828)\tPrec@1 91.016 (93.304)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.2362 (0.2752)\tPrec@1 94.531 (93.372)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.2621 (0.2720)\tPrec@1 92.969 (93.369)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3243 (0.2757)\tPrec@1 91.406 (93.260)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2529 (0.2718)\tPrec@1 92.969 (93.404)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.4295 (0.2853)\tPrec@1 92.578 (93.200)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2812 (0.2842)\tPrec@1 93.750 (93.210)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3132 (0.2875)\tPrec@1 91.406 (93.106)\n",
      "Test: [100/157]\tTime 0.181 (0.185)\tLoss 0.1779 (0.2903)\tPrec@1 95.703 (93.038)\n",
      "Test: [110/157]\tTime 0.184 (0.185)\tLoss 0.3129 (0.2899)\tPrec@1 92.969 (93.050)\n",
      "Test: [120/157]\tTime 0.181 (0.185)\tLoss 0.2603 (0.2882)\tPrec@1 93.359 (93.101)\n",
      "Test: [130/157]\tTime 0.182 (0.185)\tLoss 0.2968 (0.2856)\tPrec@1 92.969 (93.142)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3496 (0.2870)\tPrec@1 90.234 (93.080)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2828 (0.2852)\tPrec@1 92.969 (93.101)\n",
      " * Prec@1 93.095\n",
      "Epoch: [96][0/118]\tTime 0.343 (0.343)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][10/118]\tTime 0.617 (0.590)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][20/118]\tTime 0.622 (0.602)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][30/118]\tTime 0.613 (0.606)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][40/118]\tTime 0.615 (0.608)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][50/118]\tTime 0.615 (0.609)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][60/118]\tTime 0.612 (0.610)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][70/118]\tTime 0.618 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][80/118]\tTime 0.614 (0.612)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][90/118]\tTime 0.615 (0.612)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][100/118]\tTime 0.614 (0.612)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][110/118]\tTime 0.614 (0.613)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.3308 (0.3308)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.1450 (0.2686)\tPrec@1 96.094 (93.430)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4940 (0.2889)\tPrec@1 91.406 (93.118)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.2827 (0.2864)\tPrec@1 93.750 (93.183)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2293 (0.2825)\tPrec@1 94.531 (93.274)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.2704 (0.2788)\tPrec@1 93.750 (93.145)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3326 (0.2847)\tPrec@1 91.406 (93.084)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.1790 (0.2810)\tPrec@1 96.484 (93.150)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2920 (0.2847)\tPrec@1 93.750 (93.060)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3473 (0.2865)\tPrec@1 91.797 (93.025)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2371 (0.2857)\tPrec@1 94.531 (93.042)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3132 (0.2863)\tPrec@1 92.578 (93.078)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2523 (0.2875)\tPrec@1 94.141 (93.085)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2945 (0.2858)\tPrec@1 94.141 (93.073)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4142 (0.2875)\tPrec@1 90.234 (93.035)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2382 (0.2862)\tPrec@1 95.312 (93.090)\n",
      " * Prec@1 93.105\n",
      "Epoch: [97][0/118]\tTime 0.346 (0.346)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][10/118]\tTime 0.614 (0.590)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][20/118]\tTime 0.615 (0.602)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][30/118]\tTime 0.613 (0.606)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][40/118]\tTime 0.614 (0.608)\tLoss 0.0025 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][50/118]\tTime 0.615 (0.609)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][60/118]\tTime 0.616 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][70/118]\tTime 0.615 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][80/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][90/118]\tTime 0.613 (0.612)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][100/118]\tTime 0.614 (0.612)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][110/118]\tTime 0.612 (0.612)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.398 (0.398)\tLoss 0.1948 (0.1948)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2195 (0.2969)\tPrec@1 93.750 (92.933)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3707 (0.2941)\tPrec@1 92.969 (92.727)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2838 (0.2962)\tPrec@1 92.578 (92.855)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2838 (0.2932)\tPrec@1 92.578 (92.921)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.1840 (0.2878)\tPrec@1 93.359 (92.984)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3551 (0.2861)\tPrec@1 91.406 (93.007)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2651 (0.2934)\tPrec@1 94.922 (92.908)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3254 (0.2930)\tPrec@1 91.797 (92.954)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.1662 (0.2922)\tPrec@1 96.094 (92.943)\n",
      "Test: [100/157]\tTime 0.181 (0.185)\tLoss 0.2139 (0.2937)\tPrec@1 95.312 (92.938)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.1851 (0.2885)\tPrec@1 95.312 (93.025)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2592 (0.2889)\tPrec@1 93.750 (93.001)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2690 (0.2878)\tPrec@1 93.750 (93.013)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2145 (0.2869)\tPrec@1 93.359 (93.030)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2438 (0.2861)\tPrec@1 94.141 (93.044)\n",
      " * Prec@1 93.060\n",
      "Epoch: [98][0/118]\tTime 0.362 (0.362)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][10/118]\tTime 0.604 (0.590)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][20/118]\tTime 0.611 (0.601)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][30/118]\tTime 0.617 (0.605)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][40/118]\tTime 0.613 (0.607)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][50/118]\tTime 0.616 (0.609)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][60/118]\tTime 0.612 (0.609)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][70/118]\tTime 0.616 (0.610)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][80/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][90/118]\tTime 0.616 (0.611)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][100/118]\tTime 0.611 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][110/118]\tTime 0.614 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.401 (0.401)\tLoss 0.2497 (0.2497)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.181 (0.202)\tLoss 0.3218 (0.3063)\tPrec@1 93.750 (92.969)\n",
      "Test: [20/157]\tTime 0.184 (0.193)\tLoss 0.2961 (0.2993)\tPrec@1 92.188 (93.006)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3048 (0.2948)\tPrec@1 93.359 (93.019)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2048 (0.2939)\tPrec@1 94.922 (93.054)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2750 (0.2910)\tPrec@1 92.578 (93.137)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3077 (0.2906)\tPrec@1 92.188 (93.078)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2667 (0.2882)\tPrec@1 91.406 (93.079)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2685 (0.2898)\tPrec@1 93.750 (93.041)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2571 (0.2892)\tPrec@1 93.359 (93.055)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3837 (0.2875)\tPrec@1 92.578 (93.089)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2433 (0.2861)\tPrec@1 94.141 (93.127)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.2129 (0.2854)\tPrec@1 93.750 (93.153)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2189 (0.2856)\tPrec@1 93.750 (93.154)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2083 (0.2852)\tPrec@1 94.922 (93.152)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2321 (0.2882)\tPrec@1 95.312 (93.111)\n",
      " * Prec@1 93.110\n",
      "Epoch: [99][0/118]\tTime 0.346 (0.346)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][10/118]\tTime 0.611 (0.589)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][20/118]\tTime 0.618 (0.600)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][30/118]\tTime 0.614 (0.605)\tLoss 0.0017 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][40/118]\tTime 0.612 (0.607)\tLoss 0.0016 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][50/118]\tTime 0.616 (0.608)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][60/118]\tTime 0.614 (0.609)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][70/118]\tTime 0.610 (0.610)\tLoss 0.0024 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][80/118]\tTime 0.614 (0.610)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][90/118]\tTime 0.611 (0.611)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][100/118]\tTime 0.615 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][110/118]\tTime 0.612 (0.611)\tLoss 0.0021 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.387 (0.387)\tLoss 0.3195 (0.3195)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2336 (0.3122)\tPrec@1 94.141 (92.756)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.1251 (0.3106)\tPrec@1 95.312 (92.634)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2552 (0.2899)\tPrec@1 92.969 (93.082)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2037 (0.2951)\tPrec@1 94.922 (92.997)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2805 (0.2902)\tPrec@1 92.578 (93.045)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2651 (0.2889)\tPrec@1 94.141 (93.103)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1155 (0.2878)\tPrec@1 96.094 (93.123)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3874 (0.2896)\tPrec@1 89.453 (93.046)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3416 (0.2898)\tPrec@1 91.406 (93.016)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2316 (0.2891)\tPrec@1 94.141 (93.042)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4868 (0.2906)\tPrec@1 89.453 (93.050)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4209 (0.2906)\tPrec@1 91.016 (93.066)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2222 (0.2908)\tPrec@1 93.359 (93.037)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2633 (0.2896)\tPrec@1 92.578 (93.057)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4540 (0.2915)\tPrec@1 89.844 (93.026)\n",
      " * Prec@1 93.028\n",
      "Epoch: [100][0/118]\tTime 0.355 (0.355)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][10/118]\tTime 0.609 (0.589)\tLoss 0.0021 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][20/118]\tTime 0.616 (0.600)\tLoss 0.0014 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][30/118]\tTime 0.615 (0.604)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][40/118]\tTime 0.614 (0.606)\tLoss 0.0015 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][50/118]\tTime 0.615 (0.608)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][60/118]\tTime 0.613 (0.609)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][70/118]\tTime 0.612 (0.609)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][80/118]\tTime 0.616 (0.610)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][90/118]\tTime 0.612 (0.610)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][100/118]\tTime 0.612 (0.610)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][110/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.3941 (0.3941)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3686 (0.2597)\tPrec@1 92.188 (93.466)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2917 (0.2780)\tPrec@1 93.359 (93.192)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2452 (0.2724)\tPrec@1 93.359 (93.359)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.1879 (0.2754)\tPrec@1 96.484 (93.331)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.1872 (0.2751)\tPrec@1 94.922 (93.390)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3606 (0.2812)\tPrec@1 93.359 (93.244)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2781 (0.2833)\tPrec@1 94.141 (93.266)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1973 (0.2865)\tPrec@1 96.094 (93.229)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.2704 (0.2879)\tPrec@1 93.750 (93.205)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2687 (0.2861)\tPrec@1 92.969 (93.228)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2430 (0.2868)\tPrec@1 94.141 (93.215)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4180 (0.2895)\tPrec@1 91.406 (93.156)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3286 (0.2909)\tPrec@1 91.016 (93.133)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2929 (0.2924)\tPrec@1 94.141 (93.091)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3067 (0.2937)\tPrec@1 92.578 (93.070)\n",
      " * Prec@1 93.105\n",
      "Epoch: [101][0/118]\tTime 0.341 (0.341)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][10/118]\tTime 0.607 (0.588)\tLoss 0.0015 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][20/118]\tTime 0.613 (0.600)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][30/118]\tTime 0.612 (0.605)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][40/118]\tTime 0.612 (0.607)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][50/118]\tTime 0.610 (0.608)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][60/118]\tTime 0.609 (0.609)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [101][70/118]\tTime 0.618 (0.609)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][80/118]\tTime 0.608 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][90/118]\tTime 0.611 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][100/118]\tTime 0.613 (0.611)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][110/118]\tTime 0.615 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.1420 (0.1420)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2893 (0.2631)\tPrec@1 93.359 (93.643)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3121 (0.2859)\tPrec@1 92.969 (93.248)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2643 (0.2947)\tPrec@1 92.578 (93.196)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2871 (0.3073)\tPrec@1 92.188 (92.873)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3995 (0.3140)\tPrec@1 91.406 (92.754)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.3140 (0.3068)\tPrec@1 92.969 (92.918)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3250 (0.3079)\tPrec@1 92.578 (92.870)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.4413 (0.3081)\tPrec@1 90.625 (92.882)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3072 (0.3057)\tPrec@1 92.969 (92.904)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3403 (0.3022)\tPrec@1 93.359 (93.019)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.1822 (0.2994)\tPrec@1 95.312 (93.057)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3550 (0.2982)\tPrec@1 92.578 (93.082)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2690 (0.2961)\tPrec@1 92.969 (93.100)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3640 (0.2940)\tPrec@1 92.578 (93.116)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3233 (0.2960)\tPrec@1 94.141 (93.106)\n",
      " * Prec@1 93.115\n",
      "Epoch: [102][0/118]\tTime 0.349 (0.349)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][10/118]\tTime 0.614 (0.590)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][20/118]\tTime 0.613 (0.601)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][30/118]\tTime 0.612 (0.605)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][40/118]\tTime 0.612 (0.607)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][50/118]\tTime 0.617 (0.608)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][60/118]\tTime 0.614 (0.609)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][70/118]\tTime 0.616 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][80/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][90/118]\tTime 0.614 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][100/118]\tTime 0.617 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][110/118]\tTime 0.618 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3014 (0.3014)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3423 (0.2999)\tPrec@1 93.750 (92.969)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2385 (0.2970)\tPrec@1 94.922 (93.062)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2883 (0.2869)\tPrec@1 92.969 (93.271)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3024 (0.2870)\tPrec@1 92.188 (93.293)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3490 (0.2921)\tPrec@1 92.578 (93.260)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4282 (0.2956)\tPrec@1 91.797 (93.129)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2659 (0.2972)\tPrec@1 93.359 (93.095)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3693 (0.3018)\tPrec@1 89.844 (93.007)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2866 (0.2982)\tPrec@1 93.359 (93.115)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2684 (0.2971)\tPrec@1 92.969 (93.127)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3069 (0.2973)\tPrec@1 92.969 (93.138)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2428 (0.2956)\tPrec@1 94.141 (93.137)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4567 (0.2944)\tPrec@1 89.844 (93.163)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.2258 (0.2921)\tPrec@1 94.922 (93.182)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2144 (0.2916)\tPrec@1 95.703 (93.165)\n",
      " * Prec@1 93.170\n",
      "Epoch: [103][0/118]\tTime 0.348 (0.348)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][10/118]\tTime 0.615 (0.591)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][20/118]\tTime 0.613 (0.602)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][30/118]\tTime 0.614 (0.606)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][40/118]\tTime 0.614 (0.608)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][50/118]\tTime 0.612 (0.609)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][60/118]\tTime 0.616 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][70/118]\tTime 0.615 (0.611)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][80/118]\tTime 0.612 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][90/118]\tTime 0.614 (0.612)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][100/118]\tTime 0.612 (0.612)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][110/118]\tTime 0.613 (0.612)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.3521 (0.3521)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3620 (0.3224)\tPrec@1 91.016 (92.472)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2039 (0.3204)\tPrec@1 94.141 (92.504)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1743 (0.3086)\tPrec@1 94.531 (92.830)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2855 (0.3183)\tPrec@1 92.188 (92.692)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.3398 (0.3105)\tPrec@1 91.406 (92.800)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2465 (0.3083)\tPrec@1 92.969 (92.853)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2076 (0.3054)\tPrec@1 94.922 (92.947)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4209 (0.3081)\tPrec@1 91.016 (92.911)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3197 (0.3088)\tPrec@1 91.797 (92.887)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3967 (0.3026)\tPrec@1 90.625 (92.984)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3353 (0.3003)\tPrec@1 92.969 (93.043)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3124 (0.2980)\tPrec@1 91.797 (93.098)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2979 (0.2953)\tPrec@1 93.359 (93.136)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3205 (0.2940)\tPrec@1 92.969 (93.174)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2686 (0.2964)\tPrec@1 94.922 (93.124)\n",
      " * Prec@1 93.145\n",
      "Epoch: [104][0/118]\tTime 0.349 (0.349)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][10/118]\tTime 0.615 (0.589)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][20/118]\tTime 0.614 (0.601)\tLoss 0.0023 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][30/118]\tTime 0.616 (0.605)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][40/118]\tTime 0.614 (0.607)\tLoss 0.0021 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][50/118]\tTime 0.615 (0.608)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][60/118]\tTime 0.614 (0.609)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][70/118]\tTime 0.617 (0.609)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][80/118]\tTime 0.613 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][90/118]\tTime 0.611 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][100/118]\tTime 0.611 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][110/118]\tTime 0.609 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.2302 (0.2302)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.181 (0.202)\tLoss 0.1789 (0.3011)\tPrec@1 95.703 (93.182)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2391 (0.2866)\tPrec@1 94.141 (93.341)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.3404 (0.2837)\tPrec@1 92.188 (93.523)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2612 (0.2842)\tPrec@1 91.797 (93.407)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3493 (0.2846)\tPrec@1 91.797 (93.428)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.5293 (0.2930)\tPrec@1 87.500 (93.199)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3863 (0.2979)\tPrec@1 92.188 (93.161)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2502 (0.2962)\tPrec@1 93.359 (93.195)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2411 (0.2916)\tPrec@1 92.188 (93.196)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3103 (0.2960)\tPrec@1 92.969 (93.123)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3463 (0.2968)\tPrec@1 91.406 (93.092)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2661 (0.2993)\tPrec@1 94.531 (93.059)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2559 (0.2976)\tPrec@1 92.188 (93.097)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4683 (0.2982)\tPrec@1 90.625 (93.057)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2227 (0.2964)\tPrec@1 94.531 (93.121)\n",
      " * Prec@1 93.112\n",
      "Epoch: [105][0/118]\tTime 0.346 (0.346)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][10/118]\tTime 0.616 (0.590)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][20/118]\tTime 0.614 (0.601)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][30/118]\tTime 0.612 (0.605)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][40/118]\tTime 0.614 (0.607)\tLoss 0.0023 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][50/118]\tTime 0.612 (0.608)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][60/118]\tTime 0.614 (0.609)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][70/118]\tTime 0.618 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][80/118]\tTime 0.617 (0.610)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][90/118]\tTime 0.611 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][100/118]\tTime 0.618 (0.611)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][110/118]\tTime 0.616 (0.611)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2477 (0.2477)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2814 (0.3301)\tPrec@1 92.578 (92.330)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2382 (0.3237)\tPrec@1 95.312 (92.615)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3440 (0.3136)\tPrec@1 92.969 (92.868)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3285 (0.2986)\tPrec@1 93.359 (93.207)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3152 (0.2957)\tPrec@1 91.797 (93.199)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3480 (0.2951)\tPrec@1 91.406 (93.180)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3877 (0.2959)\tPrec@1 89.844 (93.172)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4619 (0.2981)\tPrec@1 90.234 (93.138)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.3496 (0.2974)\tPrec@1 93.750 (93.175)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.4098 (0.2964)\tPrec@1 91.406 (93.120)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3493 (0.2981)\tPrec@1 92.969 (93.106)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3672 (0.2944)\tPrec@1 91.406 (93.150)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2829 (0.2931)\tPrec@1 93.359 (93.189)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2306 (0.2944)\tPrec@1 94.141 (93.196)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2890 (0.2952)\tPrec@1 93.750 (93.173)\n",
      " * Prec@1 93.140\n",
      "Epoch: [106][0/118]\tTime 0.337 (0.337)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][10/118]\tTime 0.615 (0.588)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][20/118]\tTime 0.611 (0.600)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][30/118]\tTime 0.612 (0.605)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][40/118]\tTime 0.617 (0.607)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][50/118]\tTime 0.610 (0.608)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][60/118]\tTime 0.615 (0.609)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][70/118]\tTime 0.617 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][80/118]\tTime 0.611 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][90/118]\tTime 0.612 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][100/118]\tTime 0.615 (0.611)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][110/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.376 (0.376)\tLoss 0.3412 (0.3412)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3384 (0.3101)\tPrec@1 93.750 (92.969)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2928 (0.3067)\tPrec@1 92.969 (93.025)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4788 (0.3103)\tPrec@1 89.844 (93.019)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2337 (0.3062)\tPrec@1 94.141 (93.035)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.4695 (0.3038)\tPrec@1 89.844 (93.084)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3454 (0.3048)\tPrec@1 92.578 (92.988)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2812 (0.3022)\tPrec@1 93.359 (93.035)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2763 (0.2998)\tPrec@1 91.797 (93.065)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.3057 (0.2999)\tPrec@1 91.406 (93.007)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3971 (0.2999)\tPrec@1 92.188 (93.027)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3353 (0.2984)\tPrec@1 92.188 (93.043)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3240 (0.2968)\tPrec@1 92.969 (93.056)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3555 (0.2979)\tPrec@1 91.797 (93.058)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2728 (0.2960)\tPrec@1 93.750 (93.104)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3832 (0.2972)\tPrec@1 90.625 (93.096)\n",
      " * Prec@1 93.108\n",
      "Epoch: [107][0/118]\tTime 0.343 (0.343)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][10/118]\tTime 0.616 (0.589)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][20/118]\tTime 0.613 (0.600)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][30/118]\tTime 0.615 (0.604)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][40/118]\tTime 0.608 (0.606)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][50/118]\tTime 0.613 (0.608)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][60/118]\tTime 0.615 (0.609)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][70/118]\tTime 0.616 (0.610)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][80/118]\tTime 0.609 (0.610)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][90/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][100/118]\tTime 0.609 (0.611)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][110/118]\tTime 0.615 (0.611)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.403 (0.403)\tLoss 0.3857 (0.3857)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2857 (0.3049)\tPrec@1 94.141 (93.146)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2663 (0.3057)\tPrec@1 94.141 (93.118)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2446 (0.3097)\tPrec@1 93.750 (92.944)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2491 (0.3023)\tPrec@1 94.531 (93.026)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3906 (0.3091)\tPrec@1 92.188 (92.946)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3154 (0.3108)\tPrec@1 92.578 (92.962)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.3732 (0.3115)\tPrec@1 91.016 (92.947)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1006 (0.3065)\tPrec@1 96.875 (93.041)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2888 (0.3068)\tPrec@1 91.797 (93.046)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3564 (0.3081)\tPrec@1 92.578 (93.004)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4220 (0.3066)\tPrec@1 91.797 (93.029)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3102 (0.3026)\tPrec@1 94.141 (93.066)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2422 (0.3031)\tPrec@1 92.969 (93.049)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3281 (0.3030)\tPrec@1 91.016 (93.041)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2651 (0.3046)\tPrec@1 92.578 (93.026)\n",
      " * Prec@1 93.020\n",
      "Epoch: [108][0/118]\tTime 0.340 (0.340)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][10/118]\tTime 0.614 (0.589)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][20/118]\tTime 0.614 (0.600)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][30/118]\tTime 0.613 (0.604)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][40/118]\tTime 0.611 (0.607)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][50/118]\tTime 0.613 (0.608)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][60/118]\tTime 0.615 (0.609)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][70/118]\tTime 0.619 (0.609)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][80/118]\tTime 0.613 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][90/118]\tTime 0.609 (0.610)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][100/118]\tTime 0.615 (0.611)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [108][110/118]\tTime 0.613 (0.611)\tLoss 0.0021 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.395 (0.395)\tLoss 0.2107 (0.2107)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3316 (0.3085)\tPrec@1 92.578 (92.933)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3215 (0.3274)\tPrec@1 93.359 (92.522)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1789 (0.3187)\tPrec@1 95.312 (92.616)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.4516 (0.3181)\tPrec@1 91.016 (92.721)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3298 (0.3173)\tPrec@1 92.969 (92.785)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.1903 (0.3145)\tPrec@1 94.531 (92.834)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2463 (0.3112)\tPrec@1 92.578 (92.908)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2454 (0.3077)\tPrec@1 94.531 (92.993)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2610 (0.3083)\tPrec@1 93.750 (92.977)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2604 (0.3077)\tPrec@1 94.531 (93.019)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2130 (0.3086)\tPrec@1 94.141 (92.972)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.1625 (0.3049)\tPrec@1 95.312 (93.056)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2855 (0.3039)\tPrec@1 92.969 (93.058)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3734 (0.3038)\tPrec@1 92.188 (93.024)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3164 (0.3030)\tPrec@1 92.188 (93.041)\n",
      " * Prec@1 93.095\n",
      "Epoch: [109][0/118]\tTime 0.360 (0.360)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][10/118]\tTime 0.614 (0.590)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][20/118]\tTime 0.615 (0.602)\tLoss 0.0021 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][30/118]\tTime 0.616 (0.605)\tLoss 0.0020 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][40/118]\tTime 0.610 (0.607)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][50/118]\tTime 0.618 (0.608)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][60/118]\tTime 0.613 (0.609)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][70/118]\tTime 0.613 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][80/118]\tTime 0.614 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][90/118]\tTime 0.611 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][100/118]\tTime 0.618 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][110/118]\tTime 0.614 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.3635 (0.3635)\tPrec@1 90.234 (90.234)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.2866 (0.3356)\tPrec@1 92.969 (92.365)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3959 (0.3462)\tPrec@1 89.453 (92.113)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4229 (0.3306)\tPrec@1 91.797 (92.477)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.1934 (0.3191)\tPrec@1 96.094 (92.664)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2076 (0.3139)\tPrec@1 94.141 (92.762)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3956 (0.3088)\tPrec@1 91.016 (92.834)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4422 (0.3099)\tPrec@1 91.016 (92.859)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3372 (0.3114)\tPrec@1 91.406 (92.839)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3223 (0.3114)\tPrec@1 92.188 (92.879)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2573 (0.3080)\tPrec@1 94.141 (92.949)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.4304 (0.3088)\tPrec@1 91.406 (92.979)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3569 (0.3095)\tPrec@1 92.188 (92.985)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2479 (0.3052)\tPrec@1 95.703 (93.058)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2151 (0.3071)\tPrec@1 94.141 (93.035)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2792 (0.3033)\tPrec@1 92.969 (93.049)\n",
      " * Prec@1 93.058\n",
      "Epoch: [110][0/118]\tTime 0.337 (0.337)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][10/118]\tTime 0.611 (0.588)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][20/118]\tTime 0.611 (0.600)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][30/118]\tTime 0.615 (0.605)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][40/118]\tTime 0.613 (0.607)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][50/118]\tTime 0.616 (0.608)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][60/118]\tTime 0.613 (0.609)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][70/118]\tTime 0.613 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][80/118]\tTime 0.611 (0.610)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][90/118]\tTime 0.614 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][100/118]\tTime 0.613 (0.611)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [110][110/118]\tTime 0.615 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.387 (0.387)\tLoss 0.3350 (0.3350)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3074 (0.3080)\tPrec@1 92.578 (92.116)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4580 (0.3200)\tPrec@1 89.844 (92.169)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3015 (0.3263)\tPrec@1 94.141 (92.263)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.3834 (0.3166)\tPrec@1 92.578 (92.645)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.1899 (0.3142)\tPrec@1 94.531 (92.678)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.3269 (0.3115)\tPrec@1 93.359 (92.815)\n",
      "Test: [70/157]\tTime 0.184 (0.185)\tLoss 0.2922 (0.3101)\tPrec@1 93.359 (92.903)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3386 (0.3086)\tPrec@1 93.750 (92.974)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3580 (0.3104)\tPrec@1 90.625 (92.917)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2016 (0.3059)\tPrec@1 94.922 (92.980)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3941 (0.3051)\tPrec@1 91.797 (93.032)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2668 (0.3068)\tPrec@1 93.359 (92.959)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3015 (0.3051)\tPrec@1 92.188 (93.005)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3255 (0.3028)\tPrec@1 94.141 (93.096)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.4676 (0.3037)\tPrec@1 88.672 (93.039)\n",
      " * Prec@1 93.025\n",
      "Epoch: [111][0/118]\tTime 0.350 (0.350)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [111][10/118]\tTime 0.613 (0.590)\tLoss 0.0018 (0.0049)\tPrec@1 100.000 (99.929)\n",
      "Epoch: [111][20/118]\tTime 0.613 (0.601)\tLoss 0.0024 (0.0038)\tPrec@1 100.000 (99.963)\n",
      "Epoch: [111][30/118]\tTime 0.615 (0.605)\tLoss 0.0024 (0.0033)\tPrec@1 100.000 (99.975)\n",
      "Epoch: [111][40/118]\tTime 0.617 (0.607)\tLoss 0.0018 (0.0031)\tPrec@1 100.000 (99.981)\n",
      "Epoch: [111][50/118]\tTime 0.612 (0.608)\tLoss 0.0020 (0.0028)\tPrec@1 100.000 (99.985)\n",
      "Epoch: [111][60/118]\tTime 0.614 (0.609)\tLoss 0.0014 (0.0027)\tPrec@1 100.000 (99.987)\n",
      "Epoch: [111][70/118]\tTime 0.616 (0.610)\tLoss 0.0016 (0.0025)\tPrec@1 100.000 (99.989)\n",
      "Epoch: [111][80/118]\tTime 0.615 (0.610)\tLoss 0.0016 (0.0024)\tPrec@1 100.000 (99.990)\n",
      "Epoch: [111][90/118]\tTime 0.612 (0.610)\tLoss 0.0018 (0.0024)\tPrec@1 100.000 (99.991)\n",
      "Epoch: [111][100/118]\tTime 0.613 (0.611)\tLoss 0.0018 (0.0023)\tPrec@1 100.000 (99.992)\n",
      "Epoch: [111][110/118]\tTime 0.615 (0.611)\tLoss 0.0016 (0.0023)\tPrec@1 100.000 (99.993)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.3810 (0.3810)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.1693 (0.2690)\tPrec@1 94.922 (93.395)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3609 (0.2927)\tPrec@1 92.578 (93.062)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.2728 (0.2887)\tPrec@1 94.531 (93.221)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3445 (0.2955)\tPrec@1 92.969 (93.178)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.3627 (0.2990)\tPrec@1 91.016 (93.130)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3690 (0.2961)\tPrec@1 92.578 (93.167)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3512 (0.3042)\tPrec@1 91.797 (92.980)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.3109 (0.3022)\tPrec@1 92.969 (92.954)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4496 (0.3025)\tPrec@1 90.625 (92.922)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.2421 (0.3040)\tPrec@1 94.141 (92.888)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3111 (0.3021)\tPrec@1 94.922 (92.955)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.1930 (0.2981)\tPrec@1 94.141 (93.030)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.1954 (0.3007)\tPrec@1 94.531 (92.963)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.3078 (0.3000)\tPrec@1 92.578 (93.021)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2946 (0.2991)\tPrec@1 94.531 (93.057)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * Prec@1 93.070\n",
      "Epoch: [112][0/118]\tTime 0.347 (0.347)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][10/118]\tTime 0.613 (0.589)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][20/118]\tTime 0.618 (0.601)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][30/118]\tTime 0.612 (0.604)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][40/118]\tTime 0.620 (0.607)\tLoss 0.0018 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][50/118]\tTime 0.616 (0.608)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][60/118]\tTime 0.612 (0.609)\tLoss 0.0018 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][70/118]\tTime 0.617 (0.610)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][80/118]\tTime 0.616 (0.610)\tLoss 0.0018 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][90/118]\tTime 0.613 (0.610)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][100/118]\tTime 0.613 (0.611)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [112][110/118]\tTime 0.615 (0.611)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.400 (0.400)\tLoss 0.2759 (0.2759)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.1806 (0.3105)\tPrec@1 94.531 (92.862)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2264 (0.3227)\tPrec@1 94.922 (92.727)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3392 (0.3155)\tPrec@1 93.750 (92.742)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3069 (0.3105)\tPrec@1 93.359 (92.873)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2424 (0.3032)\tPrec@1 93.750 (93.022)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2141 (0.3066)\tPrec@1 95.312 (92.937)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.3185 (0.3068)\tPrec@1 92.969 (92.952)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3445 (0.3088)\tPrec@1 92.578 (92.921)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3001 (0.3068)\tPrec@1 93.750 (92.934)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3297 (0.3029)\tPrec@1 92.578 (93.027)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.1459 (0.3026)\tPrec@1 96.875 (93.050)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.1697 (0.3025)\tPrec@1 96.484 (93.030)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3602 (0.3041)\tPrec@1 92.188 (93.005)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2382 (0.3047)\tPrec@1 95.312 (93.032)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2887 (0.3017)\tPrec@1 93.359 (93.098)\n",
      " * Prec@1 93.080\n",
      "Epoch: [113][0/118]\tTime 0.354 (0.354)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][10/118]\tTime 0.610 (0.589)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][20/118]\tTime 0.614 (0.600)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][30/118]\tTime 0.612 (0.604)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][40/118]\tTime 0.616 (0.607)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][50/118]\tTime 0.615 (0.608)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][60/118]\tTime 0.614 (0.609)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][70/118]\tTime 0.610 (0.609)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][80/118]\tTime 0.612 (0.610)\tLoss 0.0020 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][90/118]\tTime 0.614 (0.610)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][100/118]\tTime 0.616 (0.611)\tLoss 0.0018 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][110/118]\tTime 0.612 (0.611)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.3960 (0.3960)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.181 (0.201)\tLoss 0.2844 (0.3303)\tPrec@1 94.141 (92.933)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3268 (0.3344)\tPrec@1 91.797 (92.485)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2273 (0.3155)\tPrec@1 93.750 (92.868)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3358 (0.3165)\tPrec@1 92.188 (92.883)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4285 (0.3177)\tPrec@1 91.406 (92.808)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3259 (0.3140)\tPrec@1 91.016 (92.821)\n",
      "Test: [70/157]\tTime 0.180 (0.185)\tLoss 0.4183 (0.3136)\tPrec@1 92.188 (92.853)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3190 (0.3214)\tPrec@1 91.406 (92.737)\n",
      "Test: [90/157]\tTime 0.181 (0.184)\tLoss 0.3399 (0.3216)\tPrec@1 93.359 (92.758)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3575 (0.3225)\tPrec@1 92.969 (92.737)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2958 (0.3225)\tPrec@1 93.359 (92.733)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3433 (0.3242)\tPrec@1 92.578 (92.727)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2558 (0.3233)\tPrec@1 94.141 (92.715)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2348 (0.3217)\tPrec@1 93.750 (92.750)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.1856 (0.3202)\tPrec@1 95.703 (92.759)\n",
      " * Prec@1 92.780\n",
      "Epoch: [114][0/118]\tTime 0.340 (0.340)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [114][10/118]\tTime 0.614 (0.589)\tLoss 0.0075 (0.0208)\tPrec@1 99.609 (99.396)\n",
      "Epoch: [114][20/118]\tTime 0.614 (0.600)\tLoss 0.0080 (0.0192)\tPrec@1 100.000 (99.554)\n",
      "Epoch: [114][30/118]\tTime 0.619 (0.604)\tLoss 0.0041 (0.0170)\tPrec@1 100.000 (99.622)\n",
      "Epoch: [114][40/118]\tTime 0.612 (0.607)\tLoss 0.0056 (0.0153)\tPrec@1 100.000 (99.686)\n",
      "Epoch: [114][50/118]\tTime 0.614 (0.608)\tLoss 0.0041 (0.0133)\tPrec@1 100.000 (99.747)\n",
      "Epoch: [114][60/118]\tTime 0.613 (0.609)\tLoss 0.0027 (0.0118)\tPrec@1 100.000 (99.789)\n",
      "Epoch: [114][70/118]\tTime 0.617 (0.609)\tLoss 0.0059 (0.0107)\tPrec@1 100.000 (99.813)\n",
      "Epoch: [114][80/118]\tTime 0.618 (0.610)\tLoss 0.0027 (0.0098)\tPrec@1 100.000 (99.836)\n",
      "Epoch: [114][90/118]\tTime 0.612 (0.610)\tLoss 0.0050 (0.0092)\tPrec@1 100.000 (99.850)\n",
      "Epoch: [114][100/118]\tTime 0.611 (0.610)\tLoss 0.0029 (0.0087)\tPrec@1 100.000 (99.857)\n",
      "Epoch: [114][110/118]\tTime 0.613 (0.611)\tLoss 0.0022 (0.0082)\tPrec@1 100.000 (99.870)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.5087 (0.5087)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.6191 (0.6248)\tPrec@1 84.375 (85.831)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.7700 (0.6401)\tPrec@1 84.375 (85.807)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.6422 (0.6578)\tPrec@1 85.156 (85.534)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4758 (0.6511)\tPrec@1 88.672 (85.623)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.6558 (0.6500)\tPrec@1 83.203 (85.646)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.4502 (0.6472)\tPrec@1 88.281 (85.726)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.7435 (0.6431)\tPrec@1 85.938 (85.651)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.6126 (0.6425)\tPrec@1 88.281 (85.749)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.6185 (0.6412)\tPrec@1 86.719 (85.779)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.8093 (0.6438)\tPrec@1 82.812 (85.783)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.5604 (0.6441)\tPrec@1 89.453 (85.842)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.6929 (0.6431)\tPrec@1 84.766 (85.847)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.5350 (0.6378)\tPrec@1 87.109 (85.935)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.7540 (0.6402)\tPrec@1 83.594 (85.882)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.7075 (0.6403)\tPrec@1 84.375 (85.878)\n",
      " * Prec@1 85.865\n",
      "Epoch: [115][0/118]\tTime 0.347 (0.347)\tLoss 0.0085 (0.0085)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [115][10/118]\tTime 0.617 (0.591)\tLoss 0.0595 (0.0829)\tPrec@1 98.438 (97.727)\n",
      "Epoch: [115][20/118]\tTime 0.615 (0.603)\tLoss 0.1011 (0.0774)\tPrec@1 96.875 (97.861)\n",
      "Epoch: [115][30/118]\tTime 0.612 (0.607)\tLoss 0.0338 (0.0793)\tPrec@1 99.609 (97.707)\n",
      "Epoch: [115][40/118]\tTime 0.615 (0.609)\tLoss 0.0374 (0.0755)\tPrec@1 98.828 (97.752)\n",
      "Epoch: [115][50/118]\tTime 0.614 (0.610)\tLoss 0.0336 (0.0691)\tPrec@1 98.828 (97.970)\n",
      "Epoch: [115][60/118]\tTime 0.617 (0.611)\tLoss 0.0208 (0.0626)\tPrec@1 100.000 (98.207)\n",
      "Epoch: [115][70/118]\tTime 0.614 (0.611)\tLoss 0.0289 (0.0575)\tPrec@1 99.609 (98.371)\n",
      "Epoch: [115][80/118]\tTime 0.615 (0.612)\tLoss 0.0096 (0.0522)\tPrec@1 100.000 (98.548)\n",
      "Epoch: [115][90/118]\tTime 0.615 (0.612)\tLoss 0.0141 (0.0481)\tPrec@1 99.609 (98.678)\n",
      "Epoch: [115][100/118]\tTime 0.613 (0.612)\tLoss 0.0178 (0.0449)\tPrec@1 99.219 (98.774)\n",
      "Epoch: [115][110/118]\tTime 0.615 (0.612)\tLoss 0.0218 (0.0420)\tPrec@1 99.219 (98.860)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.4279 (0.4279)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2875 (0.3610)\tPrec@1 92.578 (91.051)\n",
      "Test: [20/157]\tTime 0.184 (0.193)\tLoss 0.3609 (0.3730)\tPrec@1 92.188 (90.606)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.5090 (0.3755)\tPrec@1 88.672 (90.726)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3732 (0.3711)\tPrec@1 90.234 (90.816)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3471 (0.3715)\tPrec@1 91.016 (90.794)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.3016 (0.3677)\tPrec@1 92.969 (90.913)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3399 (0.3642)\tPrec@1 90.234 (90.911)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3810 (0.3658)\tPrec@1 88.672 (90.895)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3474 (0.3728)\tPrec@1 90.625 (90.775)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3649 (0.3690)\tPrec@1 89.844 (90.807)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4376 (0.3674)\tPrec@1 89.453 (90.843)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.3360 (0.3656)\tPrec@1 90.234 (90.880)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.2964 (0.3603)\tPrec@1 93.359 (90.995)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4077 (0.3624)\tPrec@1 90.625 (90.969)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4336 (0.3612)\tPrec@1 89.453 (90.982)\n",
      " * Prec@1 90.995\n",
      "Epoch: [116][0/118]\tTime 0.344 (0.344)\tLoss 0.0120 (0.0120)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [116][10/118]\tTime 0.617 (0.590)\tLoss 0.0067 (0.0104)\tPrec@1 100.000 (99.787)\n",
      "Epoch: [116][20/118]\tTime 0.613 (0.602)\tLoss 0.0141 (0.0102)\tPrec@1 99.609 (99.795)\n",
      "Epoch: [116][30/118]\tTime 0.612 (0.606)\tLoss 0.0042 (0.0091)\tPrec@1 100.000 (99.824)\n",
      "Epoch: [116][40/118]\tTime 0.617 (0.608)\tLoss 0.0048 (0.0081)\tPrec@1 100.000 (99.857)\n",
      "Epoch: [116][50/118]\tTime 0.612 (0.609)\tLoss 0.0097 (0.0083)\tPrec@1 99.609 (99.831)\n",
      "Epoch: [116][60/118]\tTime 0.613 (0.610)\tLoss 0.0048 (0.0086)\tPrec@1 100.000 (99.808)\n",
      "Epoch: [116][70/118]\tTime 0.613 (0.611)\tLoss 0.0121 (0.0091)\tPrec@1 99.609 (99.785)\n",
      "Epoch: [116][80/118]\tTime 0.620 (0.611)\tLoss 0.0132 (0.0093)\tPrec@1 99.609 (99.793)\n",
      "Epoch: [116][90/118]\tTime 0.613 (0.611)\tLoss 0.0156 (0.0094)\tPrec@1 99.219 (99.785)\n",
      "Epoch: [116][100/118]\tTime 0.615 (0.612)\tLoss 0.0058 (0.0092)\tPrec@1 99.609 (99.795)\n",
      "Epoch: [116][110/118]\tTime 0.616 (0.612)\tLoss 0.0089 (0.0096)\tPrec@1 100.000 (99.789)\n",
      "Test: [0/157]\tTime 0.394 (0.394)\tLoss 0.3790 (0.3790)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.184 (0.202)\tLoss 0.2524 (0.3543)\tPrec@1 92.969 (91.619)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.4592 (0.3767)\tPrec@1 89.453 (91.425)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3797 (0.3747)\tPrec@1 92.188 (91.482)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3981 (0.3818)\tPrec@1 90.625 (91.235)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.5555 (0.3843)\tPrec@1 87.891 (91.184)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2474 (0.3836)\tPrec@1 92.969 (91.169)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3294 (0.3863)\tPrec@1 92.969 (91.054)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2327 (0.3857)\tPrec@1 95.703 (91.131)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4362 (0.3890)\tPrec@1 90.625 (91.084)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3878 (0.3864)\tPrec@1 91.797 (91.139)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3783 (0.3926)\tPrec@1 90.234 (91.005)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.5687 (0.3929)\tPrec@1 87.891 (90.993)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4322 (0.3932)\tPrec@1 91.406 (91.007)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4744 (0.3954)\tPrec@1 88.672 (90.957)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4104 (0.3982)\tPrec@1 91.016 (90.920)\n",
      " * Prec@1 90.930\n",
      "Epoch: [117][0/118]\tTime 0.345 (0.345)\tLoss 0.0038 (0.0038)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [117][10/118]\tTime 0.613 (0.591)\tLoss 0.0209 (0.0112)\tPrec@1 98.828 (99.609)\n",
      "Epoch: [117][20/118]\tTime 0.613 (0.602)\tLoss 0.0090 (0.0110)\tPrec@1 100.000 (99.721)\n",
      "Epoch: [117][30/118]\tTime 0.614 (0.606)\tLoss 0.0124 (0.0106)\tPrec@1 99.609 (99.710)\n",
      "Epoch: [117][40/118]\tTime 0.615 (0.608)\tLoss 0.0026 (0.0106)\tPrec@1 100.000 (99.714)\n",
      "Epoch: [117][50/118]\tTime 0.620 (0.610)\tLoss 0.0039 (0.0106)\tPrec@1 100.000 (99.709)\n",
      "Epoch: [117][60/118]\tTime 0.615 (0.610)\tLoss 0.0138 (0.0099)\tPrec@1 99.219 (99.731)\n",
      "Epoch: [117][70/118]\tTime 0.614 (0.611)\tLoss 0.0162 (0.0101)\tPrec@1 99.609 (99.708)\n",
      "Epoch: [117][80/118]\tTime 0.615 (0.611)\tLoss 0.0107 (0.0098)\tPrec@1 99.609 (99.720)\n",
      "Epoch: [117][90/118]\tTime 0.613 (0.612)\tLoss 0.0171 (0.0100)\tPrec@1 99.609 (99.717)\n",
      "Epoch: [117][100/118]\tTime 0.616 (0.612)\tLoss 0.0114 (0.0101)\tPrec@1 99.609 (99.710)\n",
      "Epoch: [117][110/118]\tTime 0.616 (0.612)\tLoss 0.0177 (0.0101)\tPrec@1 99.609 (99.715)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.2742 (0.2742)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.3961 (0.3365)\tPrec@1 91.406 (91.797)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3126 (0.3312)\tPrec@1 92.188 (91.890)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2959 (0.3382)\tPrec@1 93.359 (91.973)\n",
      "Test: [40/157]\tTime 0.185 (0.188)\tLoss 0.3195 (0.3392)\tPrec@1 92.578 (91.902)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2941 (0.3360)\tPrec@1 93.359 (92.057)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2531 (0.3407)\tPrec@1 94.141 (91.983)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2898 (0.3412)\tPrec@1 93.750 (92.066)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2613 (0.3365)\tPrec@1 93.750 (92.159)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.4063 (0.3356)\tPrec@1 91.406 (92.213)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2972 (0.3384)\tPrec@1 92.969 (92.172)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3251 (0.3390)\tPrec@1 91.016 (92.131)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3700 (0.3429)\tPrec@1 91.016 (92.062)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4421 (0.3411)\tPrec@1 90.234 (92.116)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3697 (0.3436)\tPrec@1 89.453 (92.060)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.5322 (0.3462)\tPrec@1 87.891 (91.970)\n",
      " * Prec@1 91.972\n",
      "Epoch: [118][0/118]\tTime 0.341 (0.341)\tLoss 0.0075 (0.0075)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [118][10/118]\tTime 0.616 (0.589)\tLoss 0.0413 (0.0230)\tPrec@1 98.438 (99.503)\n",
      "Epoch: [118][20/118]\tTime 0.613 (0.601)\tLoss 0.0218 (0.0233)\tPrec@1 99.609 (99.386)\n",
      "Epoch: [118][30/118]\tTime 0.612 (0.605)\tLoss 0.0135 (0.0221)\tPrec@1 100.000 (99.408)\n",
      "Epoch: [118][40/118]\tTime 0.614 (0.607)\tLoss 0.0127 (0.0202)\tPrec@1 100.000 (99.457)\n",
      "Epoch: [118][50/118]\tTime 0.612 (0.608)\tLoss 0.0124 (0.0186)\tPrec@1 99.219 (99.517)\n",
      "Epoch: [118][60/118]\tTime 0.614 (0.609)\tLoss 0.0184 (0.0179)\tPrec@1 99.609 (99.545)\n",
      "Epoch: [118][70/118]\tTime 0.618 (0.609)\tLoss 0.0100 (0.0173)\tPrec@1 99.609 (99.560)\n",
      "Epoch: [118][80/118]\tTime 0.611 (0.610)\tLoss 0.0194 (0.0171)\tPrec@1 99.609 (99.566)\n",
      "Epoch: [118][90/118]\tTime 0.614 (0.610)\tLoss 0.0077 (0.0167)\tPrec@1 100.000 (99.584)\n",
      "Epoch: [118][100/118]\tTime 0.616 (0.610)\tLoss 0.0051 (0.0167)\tPrec@1 100.000 (99.578)\n",
      "Epoch: [118][110/118]\tTime 0.615 (0.611)\tLoss 0.0091 (0.0163)\tPrec@1 100.000 (99.581)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.2343 (0.2343)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.4298 (0.3167)\tPrec@1 91.406 (92.436)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.4215 (0.3140)\tPrec@1 91.016 (92.485)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4704 (0.3342)\tPrec@1 90.625 (92.162)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3493 (0.3397)\tPrec@1 90.625 (91.987)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4083 (0.3382)\tPrec@1 91.406 (91.988)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3640 (0.3332)\tPrec@1 92.188 (92.136)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.3157 (0.3292)\tPrec@1 91.797 (92.149)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2593 (0.3285)\tPrec@1 92.969 (92.183)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3102 (0.3253)\tPrec@1 92.969 (92.282)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2923 (0.3261)\tPrec@1 92.969 (92.280)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2541 (0.3277)\tPrec@1 92.578 (92.233)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3636 (0.3294)\tPrec@1 89.844 (92.165)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2500 (0.3286)\tPrec@1 92.578 (92.125)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3198 (0.3282)\tPrec@1 92.188 (92.124)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3255 (0.3300)\tPrec@1 91.406 (92.066)\n",
      " * Prec@1 92.123\n",
      "Epoch: [119][0/118]\tTime 0.347 (0.347)\tLoss 0.0041 (0.0041)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [119][10/118]\tTime 0.612 (0.589)\tLoss 0.0189 (0.0074)\tPrec@1 99.609 (99.858)\n",
      "Epoch: [119][20/118]\tTime 0.617 (0.601)\tLoss 0.0057 (0.0092)\tPrec@1 100.000 (99.833)\n",
      "Epoch: [119][30/118]\tTime 0.613 (0.605)\tLoss 0.0060 (0.0080)\tPrec@1 100.000 (99.861)\n",
      "Epoch: [119][40/118]\tTime 0.613 (0.607)\tLoss 0.0053 (0.0072)\tPrec@1 100.000 (99.886)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [119][50/118]\tTime 0.615 (0.608)\tLoss 0.0036 (0.0066)\tPrec@1 100.000 (99.893)\n",
      "Epoch: [119][60/118]\tTime 0.616 (0.609)\tLoss 0.0030 (0.0062)\tPrec@1 100.000 (99.898)\n",
      "Epoch: [119][70/118]\tTime 0.613 (0.610)\tLoss 0.0049 (0.0059)\tPrec@1 100.000 (99.906)\n",
      "Epoch: [119][80/118]\tTime 0.614 (0.610)\tLoss 0.0030 (0.0056)\tPrec@1 100.000 (99.918)\n",
      "Epoch: [119][90/118]\tTime 0.615 (0.610)\tLoss 0.0035 (0.0054)\tPrec@1 100.000 (99.927)\n",
      "Epoch: [119][100/118]\tTime 0.616 (0.611)\tLoss 0.0052 (0.0052)\tPrec@1 100.000 (99.934)\n",
      "Epoch: [119][110/118]\tTime 0.615 (0.611)\tLoss 0.0026 (0.0051)\tPrec@1 100.000 (99.937)\n",
      "Test: [0/157]\tTime 0.391 (0.391)\tLoss 0.2291 (0.2291)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2248 (0.2774)\tPrec@1 94.531 (93.253)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.2742 (0.2715)\tPrec@1 94.141 (93.248)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2653 (0.2782)\tPrec@1 92.969 (93.044)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2084 (0.2834)\tPrec@1 93.750 (92.921)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3264 (0.2902)\tPrec@1 91.797 (92.884)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3072 (0.2948)\tPrec@1 93.359 (92.796)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3927 (0.2951)\tPrec@1 90.234 (92.765)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3706 (0.2927)\tPrec@1 89.453 (92.805)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3653 (0.2909)\tPrec@1 91.797 (92.836)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3896 (0.2885)\tPrec@1 90.625 (92.880)\n",
      "Test: [110/157]\tTime 0.184 (0.184)\tLoss 0.2573 (0.2876)\tPrec@1 93.750 (92.895)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4417 (0.2906)\tPrec@1 90.625 (92.785)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3273 (0.2926)\tPrec@1 91.016 (92.748)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3405 (0.2920)\tPrec@1 92.578 (92.791)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2120 (0.2909)\tPrec@1 94.141 (92.816)\n",
      " * Prec@1 92.823\n",
      "Epoch: [120][0/118]\tTime 0.344 (0.344)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][10/118]\tTime 0.614 (0.589)\tLoss 0.0021 (0.0025)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][20/118]\tTime 0.612 (0.601)\tLoss 0.0026 (0.0024)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][30/118]\tTime 0.614 (0.605)\tLoss 0.0022 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][40/118]\tTime 0.621 (0.607)\tLoss 0.0023 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][50/118]\tTime 0.613 (0.609)\tLoss 0.0028 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][60/118]\tTime 0.614 (0.609)\tLoss 0.0019 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][70/118]\tTime 0.617 (0.610)\tLoss 0.0028 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][80/118]\tTime 0.613 (0.610)\tLoss 0.0019 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][90/118]\tTime 0.612 (0.611)\tLoss 0.0022 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][100/118]\tTime 0.616 (0.611)\tLoss 0.0019 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][110/118]\tTime 0.611 (0.611)\tLoss 0.0020 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.374 (0.374)\tLoss 0.2948 (0.2948)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.181 (0.199)\tLoss 0.3018 (0.2624)\tPrec@1 91.797 (93.253)\n",
      "Test: [20/157]\tTime 0.182 (0.191)\tLoss 0.2924 (0.2823)\tPrec@1 94.141 (93.062)\n",
      "Test: [30/157]\tTime 0.182 (0.188)\tLoss 0.2743 (0.2872)\tPrec@1 93.359 (93.145)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2391 (0.2864)\tPrec@1 94.922 (93.216)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3338 (0.2931)\tPrec@1 92.188 (93.114)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.2784 (0.2903)\tPrec@1 94.141 (93.167)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2260 (0.2916)\tPrec@1 92.969 (93.134)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3453 (0.2894)\tPrec@1 90.625 (93.142)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.3293 (0.2883)\tPrec@1 92.578 (93.205)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3102 (0.2881)\tPrec@1 94.141 (93.201)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2758 (0.2883)\tPrec@1 92.578 (93.141)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3076 (0.2921)\tPrec@1 91.406 (93.072)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2675 (0.2909)\tPrec@1 92.578 (93.052)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2506 (0.2921)\tPrec@1 94.531 (93.035)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3115 (0.2902)\tPrec@1 92.188 (93.041)\n",
      " * Prec@1 93.020\n",
      "Epoch: [121][0/118]\tTime 0.369 (0.369)\tLoss 0.0022 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][10/118]\tTime 0.613 (0.592)\tLoss 0.0019 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][20/118]\tTime 0.621 (0.602)\tLoss 0.0017 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][30/118]\tTime 0.614 (0.606)\tLoss 0.0020 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][40/118]\tTime 0.618 (0.609)\tLoss 0.0023 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][50/118]\tTime 0.613 (0.610)\tLoss 0.0018 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][60/118]\tTime 0.614 (0.611)\tLoss 0.0024 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][70/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][80/118]\tTime 0.614 (0.612)\tLoss 0.0016 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][90/118]\tTime 0.615 (0.612)\tLoss 0.0019 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][100/118]\tTime 0.614 (0.612)\tLoss 0.0019 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][110/118]\tTime 0.614 (0.612)\tLoss 0.0019 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.386 (0.386)\tLoss 0.2842 (0.2842)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.2538 (0.3004)\tPrec@1 93.359 (92.933)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3014 (0.2976)\tPrec@1 91.797 (92.913)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3589 (0.3026)\tPrec@1 93.359 (92.918)\n",
      "Test: [40/157]\tTime 0.181 (0.188)\tLoss 0.4330 (0.3046)\tPrec@1 91.016 (92.854)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2911 (0.3010)\tPrec@1 92.578 (92.900)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4441 (0.3075)\tPrec@1 89.844 (92.764)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3681 (0.3017)\tPrec@1 91.406 (92.864)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3604 (0.3016)\tPrec@1 91.016 (92.814)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2253 (0.2944)\tPrec@1 93.359 (92.909)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2055 (0.2929)\tPrec@1 95.312 (92.953)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3508 (0.2951)\tPrec@1 93.359 (92.898)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3821 (0.2959)\tPrec@1 92.578 (92.885)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2704 (0.2965)\tPrec@1 92.578 (92.882)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2374 (0.2957)\tPrec@1 94.141 (92.905)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3281 (0.2911)\tPrec@1 92.969 (92.984)\n",
      " * Prec@1 93.013\n",
      "Epoch: [122][0/118]\tTime 0.352 (0.352)\tLoss 0.0022 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][10/118]\tTime 0.613 (0.591)\tLoss 0.0024 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][20/118]\tTime 0.616 (0.603)\tLoss 0.0015 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][30/118]\tTime 0.616 (0.606)\tLoss 0.0016 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][40/118]\tTime 0.609 (0.608)\tLoss 0.0023 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][50/118]\tTime 0.613 (0.609)\tLoss 0.0016 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][60/118]\tTime 0.616 (0.610)\tLoss 0.0018 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][70/118]\tTime 0.616 (0.611)\tLoss 0.0024 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][80/118]\tTime 0.613 (0.611)\tLoss 0.0018 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][90/118]\tTime 0.614 (0.612)\tLoss 0.0016 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][100/118]\tTime 0.616 (0.612)\tLoss 0.0015 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][110/118]\tTime 0.615 (0.612)\tLoss 0.0020 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.400 (0.400)\tLoss 0.3135 (0.3135)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.183 (0.203)\tLoss 0.3242 (0.3226)\tPrec@1 92.578 (93.182)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3244 (0.3172)\tPrec@1 92.969 (93.099)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3901 (0.3005)\tPrec@1 91.406 (93.170)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.1610 (0.2972)\tPrec@1 93.750 (93.093)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.1503 (0.2972)\tPrec@1 96.484 (93.015)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2756 (0.3001)\tPrec@1 93.750 (92.943)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1996 (0.2989)\tPrec@1 95.703 (92.996)\n",
      "Test: [80/157]\tTime 0.184 (0.186)\tLoss 0.3698 (0.2988)\tPrec@1 92.188 (93.031)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2772 (0.3026)\tPrec@1 93.750 (92.964)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.4658 (0.2997)\tPrec@1 89.844 (93.007)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.2433 (0.2968)\tPrec@1 92.969 (93.036)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.2197 (0.2963)\tPrec@1 94.922 (93.027)\n",
      "Test: [130/157]\tTime 0.181 (0.185)\tLoss 0.1491 (0.2952)\tPrec@1 94.141 (93.010)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2741 (0.2957)\tPrec@1 91.406 (93.002)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.3203 (0.2944)\tPrec@1 92.969 (93.026)\n",
      " * Prec@1 93.025\n",
      "Epoch: [123][0/118]\tTime 0.343 (0.343)\tLoss 0.0023 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][10/118]\tTime 0.614 (0.589)\tLoss 0.0028 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][20/118]\tTime 0.614 (0.601)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][30/118]\tTime 0.615 (0.606)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][40/118]\tTime 0.617 (0.608)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][50/118]\tTime 0.613 (0.609)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][60/118]\tTime 0.608 (0.610)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][70/118]\tTime 0.619 (0.611)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][80/118]\tTime 0.614 (0.612)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][90/118]\tTime 0.615 (0.612)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][100/118]\tTime 0.617 (0.612)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][110/118]\tTime 0.612 (0.612)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.2937 (0.2937)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2316 (0.2735)\tPrec@1 94.141 (93.821)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2938 (0.2773)\tPrec@1 92.969 (93.508)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3162 (0.2704)\tPrec@1 94.531 (93.561)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2974 (0.2744)\tPrec@1 91.797 (93.436)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2550 (0.2758)\tPrec@1 93.359 (93.382)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2802 (0.2777)\tPrec@1 92.969 (93.340)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3143 (0.2768)\tPrec@1 92.969 (93.348)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2178 (0.2780)\tPrec@1 94.922 (93.340)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.1978 (0.2838)\tPrec@1 94.141 (93.183)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3298 (0.2861)\tPrec@1 94.141 (93.158)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2877 (0.2878)\tPrec@1 92.969 (93.148)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3158 (0.2912)\tPrec@1 93.359 (93.095)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.3138 (0.2926)\tPrec@1 92.188 (93.061)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3002 (0.2953)\tPrec@1 92.578 (93.019)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2046 (0.2965)\tPrec@1 94.531 (93.013)\n",
      " * Prec@1 93.043\n",
      "Epoch: [124][0/118]\tTime 0.338 (0.338)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][10/118]\tTime 0.614 (0.589)\tLoss 0.0018 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][20/118]\tTime 0.616 (0.601)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][30/118]\tTime 0.615 (0.605)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][40/118]\tTime 0.617 (0.608)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][50/118]\tTime 0.618 (0.609)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][60/118]\tTime 0.615 (0.610)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][70/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][80/118]\tTime 0.616 (0.611)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][90/118]\tTime 0.618 (0.611)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][100/118]\tTime 0.616 (0.612)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][110/118]\tTime 0.618 (0.612)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.401 (0.401)\tLoss 0.2301 (0.2301)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.183 (0.203)\tLoss 0.5102 (0.3174)\tPrec@1 89.062 (92.933)\n",
      "Test: [20/157]\tTime 0.184 (0.193)\tLoss 0.3560 (0.3066)\tPrec@1 90.625 (92.950)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3031 (0.3093)\tPrec@1 93.359 (92.918)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.4026 (0.3063)\tPrec@1 90.234 (92.902)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3434 (0.3074)\tPrec@1 92.969 (92.907)\n",
      "Test: [60/157]\tTime 0.183 (0.187)\tLoss 0.3694 (0.3050)\tPrec@1 92.969 (92.911)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1980 (0.2992)\tPrec@1 94.922 (93.040)\n",
      "Test: [80/157]\tTime 0.183 (0.186)\tLoss 0.3356 (0.2986)\tPrec@1 92.188 (93.084)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2531 (0.3016)\tPrec@1 94.141 (93.037)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3460 (0.2995)\tPrec@1 91.797 (93.058)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2421 (0.2981)\tPrec@1 93.359 (93.060)\n",
      "Test: [120/157]\tTime 0.184 (0.185)\tLoss 0.2171 (0.2960)\tPrec@1 94.531 (93.101)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3243 (0.2988)\tPrec@1 90.625 (93.025)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2869 (0.3009)\tPrec@1 92.578 (92.966)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3452 (0.2994)\tPrec@1 93.359 (93.015)\n",
      " * Prec@1 93.052\n",
      "Epoch: [125][0/118]\tTime 0.365 (0.365)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][10/118]\tTime 0.617 (0.592)\tLoss 0.0012 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][20/118]\tTime 0.615 (0.603)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][30/118]\tTime 0.615 (0.607)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][40/118]\tTime 0.611 (0.609)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][50/118]\tTime 0.615 (0.610)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][60/118]\tTime 0.612 (0.610)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][70/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][80/118]\tTime 0.610 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][90/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][100/118]\tTime 0.612 (0.612)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][110/118]\tTime 0.617 (0.612)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.2207 (0.2207)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3137 (0.2609)\tPrec@1 91.406 (93.679)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.1814 (0.3114)\tPrec@1 96.484 (92.876)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3022 (0.3155)\tPrec@1 94.141 (92.767)\n",
      "Test: [40/157]\tTime 0.184 (0.187)\tLoss 0.2236 (0.3111)\tPrec@1 94.531 (92.816)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3516 (0.3132)\tPrec@1 91.406 (92.754)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.3394 (0.3144)\tPrec@1 92.578 (92.745)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4000 (0.3128)\tPrec@1 90.625 (92.765)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1858 (0.3084)\tPrec@1 94.141 (92.848)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2954 (0.3045)\tPrec@1 92.969 (92.891)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2772 (0.3030)\tPrec@1 93.750 (92.926)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.1924 (0.3027)\tPrec@1 94.531 (92.919)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3388 (0.3032)\tPrec@1 92.969 (92.901)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2258 (0.3021)\tPrec@1 94.922 (92.906)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.1890 (0.3001)\tPrec@1 95.312 (92.936)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3128 (0.2972)\tPrec@1 91.406 (92.974)\n",
      " * Prec@1 93.015\n",
      "Epoch: [126][0/118]\tTime 0.341 (0.341)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][10/118]\tTime 0.614 (0.589)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][20/118]\tTime 0.614 (0.600)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][30/118]\tTime 0.617 (0.604)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][40/118]\tTime 0.612 (0.607)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][50/118]\tTime 0.611 (0.608)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][60/118]\tTime 0.617 (0.609)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][70/118]\tTime 0.615 (0.609)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][80/118]\tTime 0.612 (0.610)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [126][90/118]\tTime 0.610 (0.610)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][100/118]\tTime 0.610 (0.610)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][110/118]\tTime 0.609 (0.611)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.5320 (0.5320)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.2476 (0.2914)\tPrec@1 93.750 (93.572)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.3933 (0.3104)\tPrec@1 91.406 (93.155)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4270 (0.3081)\tPrec@1 91.016 (93.145)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2461 (0.3058)\tPrec@1 94.531 (93.169)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2700 (0.3015)\tPrec@1 91.406 (93.022)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2197 (0.3026)\tPrec@1 94.531 (92.943)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2830 (0.3032)\tPrec@1 93.359 (92.947)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.1753 (0.3010)\tPrec@1 96.484 (92.983)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2922 (0.3022)\tPrec@1 92.188 (92.964)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3854 (0.3028)\tPrec@1 90.625 (92.965)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2895 (0.3039)\tPrec@1 93.750 (92.972)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.1737 (0.3028)\tPrec@1 95.703 (92.975)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2606 (0.3021)\tPrec@1 94.141 (92.975)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.1498 (0.3004)\tPrec@1 96.094 (93.013)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2489 (0.3007)\tPrec@1 94.531 (93.026)\n",
      " * Prec@1 92.995\n",
      "Epoch: [127][0/118]\tTime 0.341 (0.341)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][10/118]\tTime 0.614 (0.588)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][20/118]\tTime 0.617 (0.601)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][30/118]\tTime 0.616 (0.605)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][40/118]\tTime 0.615 (0.607)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][50/118]\tTime 0.612 (0.608)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][60/118]\tTime 0.613 (0.609)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][70/118]\tTime 0.618 (0.609)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][80/118]\tTime 0.613 (0.610)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][90/118]\tTime 0.611 (0.610)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][100/118]\tTime 0.613 (0.610)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][110/118]\tTime 0.611 (0.611)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.377 (0.377)\tLoss 0.3148 (0.3148)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3757 (0.2825)\tPrec@1 91.797 (93.430)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2279 (0.2957)\tPrec@1 93.359 (93.080)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3662 (0.2894)\tPrec@1 92.578 (93.196)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3141 (0.2915)\tPrec@1 91.016 (92.997)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.1808 (0.2993)\tPrec@1 95.703 (92.907)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.2535 (0.3007)\tPrec@1 91.797 (92.911)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2415 (0.3004)\tPrec@1 94.922 (92.952)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2925 (0.2967)\tPrec@1 94.531 (93.070)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.1872 (0.2968)\tPrec@1 95.312 (93.042)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3697 (0.2960)\tPrec@1 94.531 (93.096)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2808 (0.2986)\tPrec@1 94.531 (93.022)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4658 (0.2991)\tPrec@1 90.625 (93.004)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2380 (0.3008)\tPrec@1 94.922 (92.960)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.0978 (0.2988)\tPrec@1 98.047 (92.991)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2680 (0.2982)\tPrec@1 93.359 (93.015)\n",
      " * Prec@1 93.047\n",
      "Epoch: [128][0/118]\tTime 0.357 (0.357)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][10/118]\tTime 0.615 (0.590)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][20/118]\tTime 0.615 (0.601)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][30/118]\tTime 0.615 (0.605)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][40/118]\tTime 0.611 (0.607)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][50/118]\tTime 0.611 (0.608)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][60/118]\tTime 0.612 (0.609)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][70/118]\tTime 0.613 (0.609)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][80/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][90/118]\tTime 0.614 (0.610)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][100/118]\tTime 0.609 (0.610)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][110/118]\tTime 0.611 (0.611)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.2550 (0.2550)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3311 (0.2913)\tPrec@1 92.969 (92.898)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3151 (0.2896)\tPrec@1 91.016 (93.080)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2832 (0.2943)\tPrec@1 94.531 (93.007)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2774 (0.3021)\tPrec@1 93.750 (92.931)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3288 (0.3055)\tPrec@1 91.797 (92.831)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2459 (0.3066)\tPrec@1 93.750 (92.866)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4164 (0.3053)\tPrec@1 92.188 (92.908)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2895 (0.3064)\tPrec@1 92.969 (92.892)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.1912 (0.3016)\tPrec@1 95.312 (92.969)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2916 (0.3029)\tPrec@1 94.531 (92.946)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4008 (0.2989)\tPrec@1 90.625 (93.018)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3526 (0.3007)\tPrec@1 90.625 (92.995)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3755 (0.2997)\tPrec@1 92.188 (93.031)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3809 (0.2990)\tPrec@1 90.234 (92.988)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2339 (0.2978)\tPrec@1 92.578 (93.018)\n",
      " * Prec@1 93.007\n",
      "Epoch: [129][0/118]\tTime 0.352 (0.352)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][10/118]\tTime 0.613 (0.590)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][20/118]\tTime 0.611 (0.601)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][30/118]\tTime 0.610 (0.605)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][40/118]\tTime 0.613 (0.607)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][50/118]\tTime 0.611 (0.608)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][60/118]\tTime 0.612 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][70/118]\tTime 0.616 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][80/118]\tTime 0.609 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][90/118]\tTime 0.612 (0.610)\tLoss 0.0023 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][100/118]\tTime 0.611 (0.611)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][110/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.1132 (0.1132)\tPrec@1 96.484 (96.484)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2319 (0.2834)\tPrec@1 93.750 (93.572)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.2889 (0.3171)\tPrec@1 93.359 (92.876)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2156 (0.2967)\tPrec@1 94.141 (93.183)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2793 (0.3030)\tPrec@1 94.141 (93.112)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2737 (0.2985)\tPrec@1 92.969 (93.137)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3485 (0.2993)\tPrec@1 93.750 (93.180)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4910 (0.3042)\tPrec@1 90.234 (93.150)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2716 (0.3027)\tPrec@1 92.969 (93.162)\n",
      "Test: [90/157]\tTime 0.183 (0.184)\tLoss 0.2889 (0.3023)\tPrec@1 93.750 (93.179)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3064 (0.3091)\tPrec@1 93.359 (93.023)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3907 (0.3071)\tPrec@1 91.797 (93.046)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1621 (0.3042)\tPrec@1 94.531 (93.075)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3765 (0.3044)\tPrec@1 91.797 (93.073)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.1922 (0.3042)\tPrec@1 94.141 (93.082)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4292 (0.3018)\tPrec@1 91.406 (93.093)\n",
      " * Prec@1 93.090\n",
      "Epoch: [130][0/118]\tTime 0.346 (0.346)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][10/118]\tTime 0.616 (0.589)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][20/118]\tTime 0.613 (0.601)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][30/118]\tTime 0.613 (0.605)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][40/118]\tTime 0.618 (0.607)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][50/118]\tTime 0.611 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][60/118]\tTime 0.613 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][70/118]\tTime 0.616 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][80/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][90/118]\tTime 0.613 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][100/118]\tTime 0.610 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][110/118]\tTime 0.612 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.3184 (0.3184)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3593 (0.3058)\tPrec@1 92.578 (92.862)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2533 (0.3032)\tPrec@1 94.141 (93.211)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3876 (0.3059)\tPrec@1 92.188 (93.133)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3724 (0.3059)\tPrec@1 92.188 (93.112)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.1179 (0.2997)\tPrec@1 96.094 (93.114)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2627 (0.3033)\tPrec@1 94.922 (93.052)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.2720 (0.2980)\tPrec@1 91.797 (93.156)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3101 (0.2995)\tPrec@1 93.359 (93.142)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3315 (0.3011)\tPrec@1 92.969 (93.119)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3690 (0.3000)\tPrec@1 92.188 (93.139)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3460 (0.2999)\tPrec@1 91.797 (93.071)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.2630 (0.2992)\tPrec@1 94.141 (93.098)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3070 (0.3003)\tPrec@1 92.969 (93.100)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3488 (0.3015)\tPrec@1 92.969 (93.041)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2357 (0.3021)\tPrec@1 94.922 (93.013)\n",
      " * Prec@1 93.005\n",
      "Epoch: [131][0/118]\tTime 0.342 (0.342)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][10/118]\tTime 0.617 (0.590)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][20/118]\tTime 0.614 (0.602)\tLoss 0.0022 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][30/118]\tTime 0.616 (0.606)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][40/118]\tTime 0.613 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][50/118]\tTime 0.615 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][60/118]\tTime 0.613 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][70/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][80/118]\tTime 0.614 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][90/118]\tTime 0.617 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][100/118]\tTime 0.619 (0.612)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][110/118]\tTime 0.618 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.2615 (0.2615)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3888 (0.3160)\tPrec@1 93.359 (92.685)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2369 (0.3032)\tPrec@1 95.312 (92.894)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3364 (0.2986)\tPrec@1 92.969 (93.032)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3967 (0.3176)\tPrec@1 89.453 (92.769)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3093 (0.3170)\tPrec@1 93.750 (92.777)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2597 (0.3150)\tPrec@1 94.531 (92.796)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2623 (0.3063)\tPrec@1 92.969 (92.941)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3662 (0.3060)\tPrec@1 91.797 (92.998)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3225 (0.3050)\tPrec@1 92.188 (93.029)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3840 (0.3057)\tPrec@1 91.016 (93.007)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3599 (0.3063)\tPrec@1 92.188 (93.000)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3336 (0.3052)\tPrec@1 92.969 (93.007)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.3510 (0.3055)\tPrec@1 92.969 (93.040)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.1877 (0.3041)\tPrec@1 94.922 (93.099)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3730 (0.3051)\tPrec@1 92.578 (93.054)\n",
      " * Prec@1 93.065\n",
      "Epoch: [132][0/118]\tTime 0.341 (0.341)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][10/118]\tTime 0.611 (0.589)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][20/118]\tTime 0.615 (0.601)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][30/118]\tTime 0.617 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][40/118]\tTime 0.613 (0.608)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][50/118]\tTime 0.613 (0.609)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][60/118]\tTime 0.611 (0.610)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][70/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][80/118]\tTime 0.615 (0.611)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][90/118]\tTime 0.615 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][100/118]\tTime 0.619 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][110/118]\tTime 0.619 (0.612)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.395 (0.395)\tLoss 0.3223 (0.3223)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2462 (0.3366)\tPrec@1 95.312 (92.294)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2306 (0.3169)\tPrec@1 94.141 (92.727)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.3844 (0.3148)\tPrec@1 92.578 (92.830)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2043 (0.3155)\tPrec@1 96.094 (92.807)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.2561 (0.3170)\tPrec@1 93.750 (92.900)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3507 (0.3158)\tPrec@1 92.188 (92.860)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1654 (0.3147)\tPrec@1 96.875 (92.925)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1839 (0.3095)\tPrec@1 94.531 (93.046)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3708 (0.3079)\tPrec@1 92.969 (93.067)\n",
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.3011 (0.3067)\tPrec@1 92.578 (93.073)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.4264 (0.3092)\tPrec@1 91.016 (93.022)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2938 (0.3073)\tPrec@1 93.359 (93.082)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2834 (0.3063)\tPrec@1 93.750 (93.070)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3106 (0.3047)\tPrec@1 91.797 (93.088)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3710 (0.3045)\tPrec@1 91.016 (93.096)\n",
      " * Prec@1 93.110\n",
      "Epoch: [133][0/118]\tTime 0.341 (0.341)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][10/118]\tTime 0.614 (0.590)\tLoss 0.0010 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][20/118]\tTime 0.616 (0.602)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][30/118]\tTime 0.606 (0.606)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][40/118]\tTime 0.614 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][50/118]\tTime 0.614 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][60/118]\tTime 0.614 (0.610)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][70/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][80/118]\tTime 0.620 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][90/118]\tTime 0.618 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][100/118]\tTime 0.619 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][110/118]\tTime 0.617 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.3107 (0.3107)\tPrec@1 91.797 (91.797)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2620 (0.3119)\tPrec@1 93.359 (92.791)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2788 (0.3157)\tPrec@1 92.578 (92.839)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.2815 (0.3000)\tPrec@1 94.531 (93.196)\n",
      "Test: [40/157]\tTime 0.181 (0.188)\tLoss 0.3507 (0.3080)\tPrec@1 92.188 (93.083)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3933 (0.3143)\tPrec@1 92.188 (92.923)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2392 (0.3061)\tPrec@1 94.531 (93.026)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2654 (0.3065)\tPrec@1 93.750 (93.024)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3642 (0.3030)\tPrec@1 91.406 (93.113)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4328 (0.3048)\tPrec@1 91.797 (93.115)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2364 (0.3015)\tPrec@1 94.141 (93.178)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.4069 (0.3031)\tPrec@1 91.797 (93.138)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3081 (0.3018)\tPrec@1 92.969 (93.169)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2089 (0.3035)\tPrec@1 93.750 (93.130)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2775 (0.3034)\tPrec@1 93.359 (93.135)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.1866 (0.3060)\tPrec@1 95.703 (93.103)\n",
      " * Prec@1 93.103\n",
      "Epoch: [134][0/118]\tTime 0.343 (0.343)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][10/118]\tTime 0.611 (0.589)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][20/118]\tTime 0.613 (0.600)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][30/118]\tTime 0.607 (0.604)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][40/118]\tTime 0.615 (0.606)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][50/118]\tTime 0.612 (0.608)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][60/118]\tTime 0.611 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][70/118]\tTime 0.614 (0.609)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][80/118]\tTime 0.614 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][90/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][100/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][110/118]\tTime 0.613 (0.611)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.399 (0.399)\tLoss 0.2893 (0.2893)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3693 (0.2846)\tPrec@1 92.188 (93.395)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3551 (0.3178)\tPrec@1 92.578 (92.969)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3544 (0.3154)\tPrec@1 91.797 (92.906)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3393 (0.3180)\tPrec@1 92.578 (92.893)\n",
      "Test: [50/157]\tTime 0.180 (0.187)\tLoss 0.2959 (0.3122)\tPrec@1 92.969 (93.007)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3216 (0.3074)\tPrec@1 93.750 (93.078)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2463 (0.3050)\tPrec@1 94.141 (93.095)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2832 (0.3004)\tPrec@1 94.922 (93.200)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3018 (0.3011)\tPrec@1 92.969 (93.162)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2352 (0.3047)\tPrec@1 93.750 (93.054)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2112 (0.3021)\tPrec@1 95.312 (93.110)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3050 (0.3027)\tPrec@1 93.359 (93.108)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2696 (0.3025)\tPrec@1 93.750 (93.094)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2680 (0.3040)\tPrec@1 94.141 (93.093)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3872 (0.3043)\tPrec@1 92.188 (93.103)\n",
      " * Prec@1 93.097\n",
      "Epoch: [135][0/118]\tTime 0.345 (0.345)\tLoss 0.0020 (0.0020)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][10/118]\tTime 0.614 (0.589)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][20/118]\tTime 0.611 (0.600)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][30/118]\tTime 0.611 (0.604)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][40/118]\tTime 0.616 (0.607)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][50/118]\tTime 0.607 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][60/118]\tTime 0.614 (0.609)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][70/118]\tTime 0.619 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][80/118]\tTime 0.612 (0.610)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][90/118]\tTime 0.613 (0.610)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][100/118]\tTime 0.611 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][110/118]\tTime 0.612 (0.611)\tLoss 0.0025 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3259 (0.3259)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2471 (0.3055)\tPrec@1 93.359 (93.217)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3509 (0.3280)\tPrec@1 91.797 (92.783)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2724 (0.3249)\tPrec@1 92.969 (92.818)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2143 (0.3194)\tPrec@1 95.312 (92.797)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3039 (0.3212)\tPrec@1 93.359 (92.869)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2422 (0.3148)\tPrec@1 93.359 (92.975)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3569 (0.3088)\tPrec@1 93.750 (93.073)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2149 (0.3047)\tPrec@1 95.703 (93.162)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4347 (0.3063)\tPrec@1 91.406 (93.153)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2883 (0.3060)\tPrec@1 93.359 (93.154)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4758 (0.3025)\tPrec@1 89.062 (93.205)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2994 (0.3059)\tPrec@1 92.969 (93.085)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4763 (0.3076)\tPrec@1 90.625 (93.088)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.1889 (0.3060)\tPrec@1 94.922 (93.096)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3772 (0.3030)\tPrec@1 91.016 (93.121)\n",
      " * Prec@1 93.103\n",
      "Epoch: [136][0/118]\tTime 0.339 (0.339)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][10/118]\tTime 0.611 (0.588)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][20/118]\tTime 0.612 (0.600)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][30/118]\tTime 0.612 (0.604)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][40/118]\tTime 0.616 (0.606)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][50/118]\tTime 0.613 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][60/118]\tTime 0.614 (0.609)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][70/118]\tTime 0.614 (0.609)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][80/118]\tTime 0.614 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][90/118]\tTime 0.611 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][100/118]\tTime 0.611 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][110/118]\tTime 0.610 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.2246 (0.2246)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.181 (0.201)\tLoss 0.2976 (0.3171)\tPrec@1 93.359 (93.004)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2233 (0.3029)\tPrec@1 94.531 (93.192)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3269 (0.3112)\tPrec@1 92.578 (93.120)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2898 (0.3023)\tPrec@1 92.969 (93.207)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2849 (0.3064)\tPrec@1 93.750 (93.084)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3350 (0.3119)\tPrec@1 93.359 (93.078)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1735 (0.3031)\tPrec@1 96.094 (93.233)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2190 (0.2999)\tPrec@1 93.750 (93.239)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2788 (0.3008)\tPrec@1 92.188 (93.222)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3304 (0.3035)\tPrec@1 91.797 (93.131)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.1846 (0.3071)\tPrec@1 95.703 (93.064)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2874 (0.3038)\tPrec@1 92.969 (93.137)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2901 (0.3046)\tPrec@1 95.312 (93.145)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2847 (0.3071)\tPrec@1 92.578 (93.102)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3211 (0.3063)\tPrec@1 92.578 (93.098)\n",
      " * Prec@1 93.070\n",
      "Epoch: [137][0/118]\tTime 0.341 (0.341)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][10/118]\tTime 0.614 (0.589)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [137][20/118]\tTime 0.614 (0.601)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][30/118]\tTime 0.609 (0.605)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][40/118]\tTime 0.614 (0.607)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][50/118]\tTime 0.613 (0.608)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][60/118]\tTime 0.617 (0.609)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][70/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][80/118]\tTime 0.613 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][90/118]\tTime 0.616 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][100/118]\tTime 0.612 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][110/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.3448 (0.3448)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.3452 (0.3020)\tPrec@1 91.406 (92.827)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.1316 (0.2859)\tPrec@1 96.094 (93.248)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3041 (0.2807)\tPrec@1 92.578 (93.359)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3356 (0.2853)\tPrec@1 92.188 (93.388)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2255 (0.2903)\tPrec@1 94.141 (93.283)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2076 (0.2966)\tPrec@1 94.141 (93.231)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3107 (0.2991)\tPrec@1 93.359 (93.161)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3414 (0.3047)\tPrec@1 91.406 (93.094)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2068 (0.3018)\tPrec@1 93.750 (93.128)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2334 (0.3050)\tPrec@1 92.969 (93.023)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.4142 (0.3006)\tPrec@1 91.797 (93.092)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3055 (0.2978)\tPrec@1 92.969 (93.146)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2214 (0.3000)\tPrec@1 94.922 (93.088)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.3526 (0.3020)\tPrec@1 92.969 (93.066)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2424 (0.2993)\tPrec@1 94.531 (93.145)\n",
      " * Prec@1 93.125\n",
      "Epoch: [138][0/118]\tTime 0.347 (0.347)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][10/118]\tTime 0.615 (0.590)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][20/118]\tTime 0.615 (0.601)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][30/118]\tTime 0.614 (0.605)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][40/118]\tTime 0.612 (0.607)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][50/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][60/118]\tTime 0.617 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][70/118]\tTime 0.616 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][80/118]\tTime 0.618 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][90/118]\tTime 0.615 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][100/118]\tTime 0.612 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][110/118]\tTime 0.615 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.397 (0.397)\tLoss 0.2067 (0.2067)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3869 (0.2878)\tPrec@1 92.188 (93.857)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2963 (0.2897)\tPrec@1 92.969 (93.657)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4022 (0.2906)\tPrec@1 91.406 (93.511)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3584 (0.2999)\tPrec@1 92.578 (93.331)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3277 (0.2920)\tPrec@1 92.969 (93.459)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2739 (0.2918)\tPrec@1 92.969 (93.404)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3251 (0.2924)\tPrec@1 92.188 (93.398)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3071 (0.2958)\tPrec@1 92.969 (93.364)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3187 (0.2985)\tPrec@1 93.359 (93.282)\n",
      "Test: [100/157]\tTime 0.181 (0.185)\tLoss 0.2863 (0.2967)\tPrec@1 94.531 (93.317)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2830 (0.2985)\tPrec@1 92.578 (93.317)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.4812 (0.3001)\tPrec@1 90.234 (93.282)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4060 (0.3000)\tPrec@1 90.234 (93.270)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3078 (0.3023)\tPrec@1 91.797 (93.221)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2851 (0.3053)\tPrec@1 93.359 (93.152)\n",
      " * Prec@1 93.170\n",
      "Epoch: [139][0/118]\tTime 0.341 (0.341)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][10/118]\tTime 0.612 (0.589)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][20/118]\tTime 0.612 (0.600)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][30/118]\tTime 0.615 (0.605)\tLoss 0.0027 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][40/118]\tTime 0.614 (0.607)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][50/118]\tTime 0.613 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][60/118]\tTime 0.615 (0.609)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][70/118]\tTime 0.611 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][80/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][90/118]\tTime 0.612 (0.610)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][100/118]\tTime 0.613 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][110/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.402 (0.402)\tLoss 0.2233 (0.2233)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3351 (0.2742)\tPrec@1 92.188 (93.679)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3195 (0.2964)\tPrec@1 91.797 (93.173)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3985 (0.3003)\tPrec@1 92.188 (93.095)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2329 (0.3029)\tPrec@1 94.141 (93.007)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3187 (0.3039)\tPrec@1 93.359 (92.976)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2358 (0.3071)\tPrec@1 95.703 (93.020)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2652 (0.3068)\tPrec@1 93.750 (93.024)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3676 (0.3098)\tPrec@1 93.750 (93.003)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.1741 (0.3084)\tPrec@1 94.531 (92.964)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2047 (0.3086)\tPrec@1 94.531 (92.961)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2235 (0.3065)\tPrec@1 94.141 (93.014)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3476 (0.3053)\tPrec@1 92.969 (93.069)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3392 (0.3045)\tPrec@1 93.359 (93.088)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3760 (0.3052)\tPrec@1 92.578 (93.085)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3725 (0.3038)\tPrec@1 92.578 (93.106)\n",
      " * Prec@1 93.088\n",
      "Epoch: [140][0/118]\tTime 0.341 (0.341)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][10/118]\tTime 0.613 (0.588)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][20/118]\tTime 0.616 (0.600)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][30/118]\tTime 0.613 (0.604)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][40/118]\tTime 0.612 (0.607)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][50/118]\tTime 0.616 (0.608)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][60/118]\tTime 0.617 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][70/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][80/118]\tTime 0.617 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][90/118]\tTime 0.612 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][100/118]\tTime 0.622 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][110/118]\tTime 0.614 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.2644 (0.2644)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.184 (0.202)\tLoss 0.2312 (0.3520)\tPrec@1 93.750 (92.116)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3504 (0.3183)\tPrec@1 91.797 (92.671)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.1476 (0.3125)\tPrec@1 96.484 (92.767)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.1818 (0.3116)\tPrec@1 94.141 (92.769)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3658 (0.3120)\tPrec@1 92.188 (92.846)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2890 (0.3092)\tPrec@1 93.750 (92.841)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3792 (0.3094)\tPrec@1 93.750 (92.848)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2478 (0.3067)\tPrec@1 93.750 (92.998)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.1302 (0.3039)\tPrec@1 96.875 (93.037)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2327 (0.3052)\tPrec@1 94.922 (93.023)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3142 (0.3064)\tPrec@1 93.359 (93.004)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.2344 (0.3023)\tPrec@1 93.750 (93.075)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.1549 (0.3034)\tPrec@1 95.312 (93.091)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.1258 (0.3006)\tPrec@1 97.266 (93.149)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3462 (0.3043)\tPrec@1 90.625 (93.077)\n",
      " * Prec@1 93.088\n",
      "Epoch: [141][0/118]\tTime 0.344 (0.344)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][10/118]\tTime 0.614 (0.589)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][20/118]\tTime 0.615 (0.602)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][30/118]\tTime 0.615 (0.606)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][40/118]\tTime 0.611 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][50/118]\tTime 0.614 (0.609)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][60/118]\tTime 0.614 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][70/118]\tTime 0.619 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][80/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][90/118]\tTime 0.612 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][100/118]\tTime 0.615 (0.612)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][110/118]\tTime 0.617 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.2869 (0.2869)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3944 (0.3039)\tPrec@1 91.406 (93.075)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2823 (0.3028)\tPrec@1 94.531 (93.136)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.3548 (0.3062)\tPrec@1 92.188 (93.057)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3283 (0.3115)\tPrec@1 92.578 (93.026)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3445 (0.3092)\tPrec@1 92.188 (93.045)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3805 (0.3146)\tPrec@1 92.578 (93.007)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2586 (0.3142)\tPrec@1 94.922 (92.936)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2228 (0.3144)\tPrec@1 93.750 (92.959)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2638 (0.3143)\tPrec@1 93.359 (92.990)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3044 (0.3126)\tPrec@1 93.750 (93.062)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2822 (0.3133)\tPrec@1 93.359 (93.071)\n",
      "Test: [120/157]\tTime 0.184 (0.185)\tLoss 0.2508 (0.3127)\tPrec@1 95.312 (93.072)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2751 (0.3093)\tPrec@1 92.969 (93.076)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2830 (0.3101)\tPrec@1 92.969 (93.074)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3862 (0.3085)\tPrec@1 91.016 (93.114)\n",
      " * Prec@1 93.110\n",
      "Epoch: [142][0/118]\tTime 0.333 (0.333)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][10/118]\tTime 0.613 (0.589)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][20/118]\tTime 0.611 (0.601)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][30/118]\tTime 0.616 (0.606)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][40/118]\tTime 0.617 (0.608)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][50/118]\tTime 0.615 (0.609)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][60/118]\tTime 0.611 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][70/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][80/118]\tTime 0.611 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][90/118]\tTime 0.616 (0.612)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][100/118]\tTime 0.613 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][110/118]\tTime 0.616 (0.612)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.398 (0.398)\tLoss 0.3078 (0.3078)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.203)\tLoss 0.2451 (0.2895)\tPrec@1 94.531 (93.359)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2627 (0.3058)\tPrec@1 92.578 (93.062)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.4186 (0.3133)\tPrec@1 90.234 (92.767)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3656 (0.3130)\tPrec@1 90.625 (92.778)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3635 (0.3139)\tPrec@1 92.578 (92.808)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2965 (0.3110)\tPrec@1 92.969 (92.879)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4761 (0.3084)\tPrec@1 90.625 (92.963)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2650 (0.3066)\tPrec@1 94.141 (93.003)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2546 (0.3063)\tPrec@1 93.359 (93.050)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3386 (0.3055)\tPrec@1 92.969 (93.085)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3950 (0.3096)\tPrec@1 93.359 (93.025)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3357 (0.3065)\tPrec@1 91.797 (93.066)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2618 (0.3040)\tPrec@1 95.703 (93.118)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4101 (0.3073)\tPrec@1 91.406 (93.080)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2769 (0.3062)\tPrec@1 92.188 (93.114)\n",
      " * Prec@1 93.112\n",
      "Epoch: [143][0/118]\tTime 0.353 (0.353)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][10/118]\tTime 0.613 (0.591)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][20/118]\tTime 0.614 (0.602)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][30/118]\tTime 0.620 (0.606)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][40/118]\tTime 0.616 (0.608)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][50/118]\tTime 0.610 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][60/118]\tTime 0.608 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][70/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][80/118]\tTime 0.614 (0.612)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][90/118]\tTime 0.616 (0.612)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][100/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][110/118]\tTime 0.617 (0.613)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.387 (0.387)\tLoss 0.2226 (0.2226)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3165 (0.2790)\tPrec@1 91.406 (93.537)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2402 (0.2978)\tPrec@1 94.531 (93.304)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3978 (0.3202)\tPrec@1 91.406 (92.956)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2475 (0.3104)\tPrec@1 94.141 (93.045)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.1931 (0.3106)\tPrec@1 94.922 (92.999)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2462 (0.3081)\tPrec@1 93.750 (93.039)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2859 (0.3111)\tPrec@1 92.188 (93.035)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2015 (0.3152)\tPrec@1 94.922 (92.945)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2574 (0.3106)\tPrec@1 94.531 (93.003)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2172 (0.3101)\tPrec@1 92.969 (93.027)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2886 (0.3105)\tPrec@1 93.750 (93.029)\n",
      "Test: [120/157]\tTime 0.184 (0.185)\tLoss 0.2344 (0.3082)\tPrec@1 94.531 (93.088)\n",
      "Test: [130/157]\tTime 0.183 (0.185)\tLoss 0.1871 (0.3059)\tPrec@1 94.922 (93.133)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2820 (0.3047)\tPrec@1 94.141 (93.168)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3265 (0.3076)\tPrec@1 92.188 (93.098)\n",
      " * Prec@1 93.093\n",
      "Epoch: [144][0/118]\tTime 0.350 (0.350)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][10/118]\tTime 0.617 (0.591)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][20/118]\tTime 0.616 (0.602)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][30/118]\tTime 0.615 (0.606)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][40/118]\tTime 0.614 (0.609)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][50/118]\tTime 0.612 (0.610)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [144][60/118]\tTime 0.615 (0.611)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][70/118]\tTime 0.612 (0.611)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][80/118]\tTime 0.615 (0.612)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][90/118]\tTime 0.615 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][100/118]\tTime 0.617 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][110/118]\tTime 0.614 (0.613)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.3470 (0.3470)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.4090 (0.3238)\tPrec@1 91.406 (93.004)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.1875 (0.3037)\tPrec@1 94.922 (93.322)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2645 (0.3077)\tPrec@1 94.141 (93.170)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2698 (0.2986)\tPrec@1 92.969 (93.207)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2819 (0.2981)\tPrec@1 93.750 (93.168)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3962 (0.2963)\tPrec@1 92.188 (93.231)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2415 (0.2978)\tPrec@1 94.141 (93.222)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2779 (0.2989)\tPrec@1 94.922 (93.263)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4595 (0.3059)\tPrec@1 88.281 (93.106)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3682 (0.3069)\tPrec@1 91.797 (93.077)\n",
      "Test: [110/157]\tTime 0.184 (0.185)\tLoss 0.2124 (0.3074)\tPrec@1 94.141 (93.060)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3208 (0.3095)\tPrec@1 92.969 (93.043)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2999 (0.3066)\tPrec@1 93.750 (93.097)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4114 (0.3059)\tPrec@1 90.625 (93.102)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2721 (0.3066)\tPrec@1 92.969 (93.085)\n",
      " * Prec@1 93.078\n",
      "Epoch: [145][0/118]\tTime 0.348 (0.348)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][10/118]\tTime 0.616 (0.590)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][20/118]\tTime 0.615 (0.602)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][30/118]\tTime 0.613 (0.606)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][40/118]\tTime 0.612 (0.608)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][50/118]\tTime 0.618 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][60/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][70/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][80/118]\tTime 0.620 (0.612)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][90/118]\tTime 0.613 (0.612)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][100/118]\tTime 0.618 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][110/118]\tTime 0.611 (0.613)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.395 (0.395)\tLoss 0.4381 (0.4381)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3009 (0.3068)\tPrec@1 93.359 (93.288)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2047 (0.2979)\tPrec@1 94.531 (93.378)\n",
      "Test: [30/157]\tTime 0.183 (0.190)\tLoss 0.2141 (0.3047)\tPrec@1 94.531 (93.221)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3601 (0.3151)\tPrec@1 92.578 (93.140)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.3175 (0.3158)\tPrec@1 93.750 (93.061)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3563 (0.3138)\tPrec@1 92.188 (93.065)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.2091 (0.3059)\tPrec@1 94.922 (93.222)\n",
      "Test: [80/157]\tTime 0.183 (0.186)\tLoss 0.3417 (0.3074)\tPrec@1 94.141 (93.195)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2769 (0.3095)\tPrec@1 93.750 (93.201)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2134 (0.3057)\tPrec@1 95.312 (93.270)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2160 (0.3085)\tPrec@1 94.531 (93.180)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.2766 (0.3061)\tPrec@1 94.531 (93.240)\n",
      "Test: [130/157]\tTime 0.183 (0.185)\tLoss 0.4913 (0.3105)\tPrec@1 90.625 (93.154)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3433 (0.3085)\tPrec@1 92.969 (93.177)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.4148 (0.3074)\tPrec@1 90.234 (93.186)\n",
      " * Prec@1 93.183\n",
      "Epoch: [146][0/118]\tTime 0.345 (0.345)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][10/118]\tTime 0.614 (0.590)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][20/118]\tTime 0.616 (0.602)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][30/118]\tTime 0.617 (0.606)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][40/118]\tTime 0.614 (0.608)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][50/118]\tTime 0.613 (0.609)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][60/118]\tTime 0.616 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][70/118]\tTime 0.611 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][80/118]\tTime 0.612 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][90/118]\tTime 0.618 (0.612)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][100/118]\tTime 0.617 (0.612)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][110/118]\tTime 0.618 (0.612)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.3697 (0.3697)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2944 (0.3125)\tPrec@1 91.797 (92.649)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.2240 (0.3183)\tPrec@1 94.141 (92.578)\n",
      "Test: [30/157]\tTime 0.184 (0.190)\tLoss 0.3186 (0.3053)\tPrec@1 92.969 (92.918)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.5025 (0.3123)\tPrec@1 90.234 (93.007)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2441 (0.3123)\tPrec@1 95.312 (93.030)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3369 (0.3126)\tPrec@1 92.578 (92.994)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.3916 (0.3113)\tPrec@1 91.406 (93.007)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2381 (0.3036)\tPrec@1 95.312 (93.186)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3207 (0.3039)\tPrec@1 93.359 (93.162)\n",
      "Test: [100/157]\tTime 0.181 (0.185)\tLoss 0.2394 (0.3024)\tPrec@1 94.922 (93.189)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3392 (0.3041)\tPrec@1 92.188 (93.208)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.2898 (0.3032)\tPrec@1 94.141 (93.217)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.1833 (0.3040)\tPrec@1 96.094 (93.213)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2672 (0.3052)\tPrec@1 93.359 (93.163)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2067 (0.3038)\tPrec@1 95.703 (93.227)\n",
      " * Prec@1 93.210\n",
      "Epoch: [147][0/118]\tTime 0.336 (0.336)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][10/118]\tTime 0.615 (0.590)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][20/118]\tTime 0.614 (0.602)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][30/118]\tTime 0.614 (0.606)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][40/118]\tTime 0.617 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][50/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][60/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][70/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][80/118]\tTime 0.615 (0.612)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][90/118]\tTime 0.614 (0.612)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][100/118]\tTime 0.610 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][110/118]\tTime 0.616 (0.613)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.3436 (0.3436)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.4624 (0.3351)\tPrec@1 91.016 (92.862)\n",
      "Test: [20/157]\tTime 0.184 (0.193)\tLoss 0.5004 (0.3460)\tPrec@1 89.453 (92.634)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.2056 (0.3361)\tPrec@1 95.312 (92.780)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3099 (0.3230)\tPrec@1 92.578 (92.883)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2916 (0.3206)\tPrec@1 94.141 (92.938)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3928 (0.3248)\tPrec@1 91.406 (92.821)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.2679 (0.3204)\tPrec@1 93.359 (92.875)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3747 (0.3181)\tPrec@1 91.406 (92.896)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2494 (0.3140)\tPrec@1 94.531 (92.926)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.181 (0.185)\tLoss 0.2589 (0.3145)\tPrec@1 92.969 (92.899)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3354 (0.3130)\tPrec@1 93.359 (92.958)\n",
      "Test: [120/157]\tTime 0.184 (0.185)\tLoss 0.2505 (0.3129)\tPrec@1 94.531 (92.995)\n",
      "Test: [130/157]\tTime 0.183 (0.185)\tLoss 0.3170 (0.3117)\tPrec@1 94.141 (93.013)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3223 (0.3119)\tPrec@1 92.969 (93.013)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2458 (0.3107)\tPrec@1 94.141 (93.070)\n",
      " * Prec@1 93.135\n",
      "Epoch: [148][0/118]\tTime 0.345 (0.345)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][10/118]\tTime 0.613 (0.590)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][20/118]\tTime 0.613 (0.602)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][30/118]\tTime 0.615 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][40/118]\tTime 0.613 (0.608)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][50/118]\tTime 0.616 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][60/118]\tTime 0.615 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][70/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][80/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][90/118]\tTime 0.614 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][100/118]\tTime 0.613 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][110/118]\tTime 0.616 (0.613)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.3039 (0.3039)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2637 (0.3226)\tPrec@1 95.312 (93.146)\n",
      "Test: [20/157]\tTime 0.184 (0.193)\tLoss 0.2932 (0.3146)\tPrec@1 94.531 (93.155)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4467 (0.3125)\tPrec@1 91.797 (92.969)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4135 (0.3175)\tPrec@1 91.406 (92.978)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3663 (0.3166)\tPrec@1 92.188 (93.022)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2784 (0.3155)\tPrec@1 94.141 (93.122)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3339 (0.3122)\tPrec@1 92.969 (93.112)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2693 (0.3091)\tPrec@1 94.141 (93.166)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.3448 (0.3053)\tPrec@1 93.750 (93.222)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3500 (0.3041)\tPrec@1 91.406 (93.270)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2836 (0.3065)\tPrec@1 93.750 (93.215)\n",
      "Test: [120/157]\tTime 0.184 (0.185)\tLoss 0.3069 (0.3069)\tPrec@1 92.188 (93.192)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2709 (0.3043)\tPrec@1 94.531 (93.216)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4165 (0.3080)\tPrec@1 91.016 (93.138)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2160 (0.3080)\tPrec@1 94.141 (93.121)\n",
      " * Prec@1 93.125\n",
      "Epoch: [149][0/118]\tTime 0.345 (0.345)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][10/118]\tTime 0.616 (0.590)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][20/118]\tTime 0.613 (0.602)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][30/118]\tTime 0.614 (0.605)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][40/118]\tTime 0.611 (0.607)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][50/118]\tTime 0.613 (0.609)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][60/118]\tTime 0.613 (0.609)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][70/118]\tTime 0.611 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][80/118]\tTime 0.610 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][90/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][100/118]\tTime 0.616 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][110/118]\tTime 0.611 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.386 (0.386)\tLoss 0.2894 (0.2894)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3714 (0.3382)\tPrec@1 92.578 (92.614)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2846 (0.3365)\tPrec@1 94.141 (92.671)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4216 (0.3264)\tPrec@1 90.234 (92.881)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3839 (0.3255)\tPrec@1 92.969 (92.969)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3203 (0.3203)\tPrec@1 92.578 (93.022)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.1283 (0.3170)\tPrec@1 96.875 (93.033)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2741 (0.3208)\tPrec@1 94.531 (92.974)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3394 (0.3188)\tPrec@1 91.406 (92.978)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.3250 (0.3159)\tPrec@1 92.969 (93.012)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2135 (0.3111)\tPrec@1 94.922 (93.096)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2848 (0.3099)\tPrec@1 92.969 (93.095)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3772 (0.3100)\tPrec@1 91.797 (93.111)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3259 (0.3100)\tPrec@1 91.406 (93.118)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2644 (0.3096)\tPrec@1 93.750 (93.124)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2594 (0.3087)\tPrec@1 93.359 (93.173)\n",
      " * Prec@1 93.160\n",
      "Epoch: [150][0/118]\tTime 0.340 (0.340)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][10/118]\tTime 0.616 (0.589)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][20/118]\tTime 0.612 (0.600)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][30/118]\tTime 0.610 (0.605)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][40/118]\tTime 0.614 (0.607)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][50/118]\tTime 0.612 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][60/118]\tTime 0.609 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][70/118]\tTime 0.611 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][80/118]\tTime 0.611 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][90/118]\tTime 0.618 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][100/118]\tTime 0.610 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][110/118]\tTime 0.611 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2636 (0.2636)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2754 (0.2968)\tPrec@1 95.312 (93.395)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2468 (0.3026)\tPrec@1 94.141 (93.229)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1680 (0.2981)\tPrec@1 95.703 (93.208)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4608 (0.3080)\tPrec@1 92.188 (93.159)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2836 (0.3052)\tPrec@1 93.359 (93.206)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4038 (0.3076)\tPrec@1 91.797 (93.206)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.3483 (0.3047)\tPrec@1 91.406 (93.172)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.3333 (0.3000)\tPrec@1 92.188 (93.248)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3781 (0.2970)\tPrec@1 92.188 (93.355)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.2221 (0.2983)\tPrec@1 93.750 (93.328)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2621 (0.2960)\tPrec@1 94.531 (93.388)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3789 (0.3016)\tPrec@1 88.672 (93.269)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2388 (0.3033)\tPrec@1 94.141 (93.222)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2524 (0.3083)\tPrec@1 93.750 (93.157)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3365 (0.3078)\tPrec@1 93.359 (93.191)\n",
      " * Prec@1 93.207\n",
      "Epoch: [151][0/118]\tTime 0.337 (0.337)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][10/118]\tTime 0.611 (0.588)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][20/118]\tTime 0.615 (0.600)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][30/118]\tTime 0.615 (0.605)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][40/118]\tTime 0.614 (0.607)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][50/118]\tTime 0.613 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][60/118]\tTime 0.613 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][70/118]\tTime 0.612 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][80/118]\tTime 0.611 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][90/118]\tTime 0.612 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [151][100/118]\tTime 0.617 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][110/118]\tTime 0.612 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.3799 (0.3799)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.181 (0.201)\tLoss 0.3502 (0.2979)\tPrec@1 92.969 (93.324)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4757 (0.3077)\tPrec@1 91.016 (93.192)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2968 (0.3066)\tPrec@1 91.406 (93.221)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2996 (0.2976)\tPrec@1 92.969 (93.426)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4083 (0.3035)\tPrec@1 89.844 (93.321)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3784 (0.3084)\tPrec@1 91.406 (93.167)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2735 (0.3075)\tPrec@1 94.922 (93.227)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.2056 (0.3039)\tPrec@1 94.922 (93.321)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3947 (0.3055)\tPrec@1 92.188 (93.269)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3483 (0.3058)\tPrec@1 92.578 (93.236)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3980 (0.3082)\tPrec@1 91.406 (93.134)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2171 (0.3089)\tPrec@1 93.359 (93.101)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2730 (0.3077)\tPrec@1 94.141 (93.121)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2420 (0.3043)\tPrec@1 94.922 (93.196)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4604 (0.3077)\tPrec@1 91.406 (93.121)\n",
      " * Prec@1 93.110\n",
      "Epoch: [152][0/118]\tTime 0.360 (0.360)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][10/118]\tTime 0.614 (0.590)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][20/118]\tTime 0.612 (0.601)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][30/118]\tTime 0.615 (0.605)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][40/118]\tTime 0.614 (0.607)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][50/118]\tTime 0.617 (0.608)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][60/118]\tTime 0.613 (0.609)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][70/118]\tTime 0.607 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][80/118]\tTime 0.617 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][90/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][100/118]\tTime 0.614 (0.611)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][110/118]\tTime 0.610 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.374 (0.374)\tLoss 0.2669 (0.2669)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3956 (0.3334)\tPrec@1 91.797 (92.685)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2448 (0.3195)\tPrec@1 92.969 (92.876)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2770 (0.3052)\tPrec@1 94.141 (93.183)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3273 (0.3161)\tPrec@1 94.141 (93.016)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.2639 (0.3151)\tPrec@1 94.141 (93.045)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.2642 (0.3168)\tPrec@1 94.531 (93.020)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3609 (0.3144)\tPrec@1 91.797 (93.062)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4171 (0.3129)\tPrec@1 91.797 (93.142)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.1992 (0.3168)\tPrec@1 94.922 (93.037)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3373 (0.3137)\tPrec@1 93.359 (93.077)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2673 (0.3139)\tPrec@1 93.750 (93.099)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2993 (0.3125)\tPrec@1 92.578 (93.101)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3631 (0.3162)\tPrec@1 92.578 (93.040)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.3636 (0.3163)\tPrec@1 91.016 (93.066)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4187 (0.3160)\tPrec@1 92.578 (93.090)\n",
      " * Prec@1 93.120\n",
      "Epoch: [153][0/118]\tTime 0.341 (0.341)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][10/118]\tTime 0.613 (0.589)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][20/118]\tTime 0.612 (0.601)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][30/118]\tTime 0.617 (0.604)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][40/118]\tTime 0.614 (0.607)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][50/118]\tTime 0.612 (0.608)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][60/118]\tTime 0.615 (0.609)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][70/118]\tTime 0.616 (0.609)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][80/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][90/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][100/118]\tTime 0.615 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][110/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2196 (0.2196)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3377 (0.3216)\tPrec@1 93.359 (93.040)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2321 (0.2993)\tPrec@1 94.141 (93.564)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2506 (0.3003)\tPrec@1 95.312 (93.611)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2467 (0.3032)\tPrec@1 95.312 (93.417)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.4081 (0.3088)\tPrec@1 91.016 (93.283)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.3209 (0.3088)\tPrec@1 92.969 (93.212)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1973 (0.3052)\tPrec@1 94.922 (93.244)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3528 (0.3050)\tPrec@1 94.531 (93.244)\n",
      "Test: [90/157]\tTime 0.181 (0.184)\tLoss 0.2812 (0.3033)\tPrec@1 94.141 (93.278)\n",
      "Test: [100/157]\tTime 0.184 (0.184)\tLoss 0.3774 (0.3068)\tPrec@1 92.578 (93.220)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2519 (0.3042)\tPrec@1 93.750 (93.240)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2033 (0.3047)\tPrec@1 93.750 (93.214)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2921 (0.3051)\tPrec@1 93.359 (93.198)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3374 (0.3062)\tPrec@1 92.188 (93.174)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.5441 (0.3069)\tPrec@1 88.281 (93.150)\n",
      " * Prec@1 93.150\n",
      "Epoch: [154][0/118]\tTime 0.333 (0.333)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][10/118]\tTime 0.611 (0.588)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][20/118]\tTime 0.615 (0.600)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][30/118]\tTime 0.615 (0.605)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][40/118]\tTime 0.613 (0.607)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][50/118]\tTime 0.612 (0.608)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][60/118]\tTime 0.615 (0.609)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][70/118]\tTime 0.610 (0.609)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][80/118]\tTime 0.612 (0.610)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][90/118]\tTime 0.611 (0.610)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][100/118]\tTime 0.614 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][110/118]\tTime 0.616 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2894 (0.2894)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2429 (0.3055)\tPrec@1 94.922 (93.537)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2422 (0.2996)\tPrec@1 92.969 (93.322)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.4398 (0.3181)\tPrec@1 88.672 (92.931)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3238 (0.3179)\tPrec@1 92.578 (92.864)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2691 (0.3080)\tPrec@1 92.969 (93.045)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3336 (0.3083)\tPrec@1 91.797 (93.078)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.2791 (0.3131)\tPrec@1 94.141 (93.029)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4149 (0.3118)\tPrec@1 92.578 (93.109)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.2697 (0.3118)\tPrec@1 94.531 (93.098)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2943 (0.3134)\tPrec@1 93.359 (93.089)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3382 (0.3150)\tPrec@1 92.969 (93.057)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3291 (0.3123)\tPrec@1 92.188 (93.091)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2617 (0.3109)\tPrec@1 94.141 (93.109)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2138 (0.3127)\tPrec@1 95.312 (93.096)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3352 (0.3131)\tPrec@1 92.578 (93.124)\n",
      " * Prec@1 93.130\n",
      "Epoch: [155][0/118]\tTime 0.343 (0.343)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][10/118]\tTime 0.611 (0.589)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][20/118]\tTime 0.613 (0.600)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][30/118]\tTime 0.618 (0.604)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][40/118]\tTime 0.611 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][50/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][60/118]\tTime 0.611 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][70/118]\tTime 0.612 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][80/118]\tTime 0.613 (0.610)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][90/118]\tTime 0.617 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][100/118]\tTime 0.617 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][110/118]\tTime 0.610 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.3439 (0.3439)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.3670 (0.3197)\tPrec@1 93.359 (93.182)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3684 (0.3059)\tPrec@1 91.797 (93.341)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.1652 (0.3048)\tPrec@1 96.094 (93.347)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3021 (0.2962)\tPrec@1 92.969 (93.455)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2449 (0.2934)\tPrec@1 93.750 (93.352)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2841 (0.2970)\tPrec@1 92.578 (93.283)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2665 (0.2986)\tPrec@1 94.141 (93.288)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3344 (0.2986)\tPrec@1 94.141 (93.326)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3549 (0.2990)\tPrec@1 92.188 (93.368)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3151 (0.3021)\tPrec@1 92.578 (93.286)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4305 (0.3041)\tPrec@1 90.625 (93.208)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.2587 (0.3054)\tPrec@1 94.531 (93.172)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4364 (0.3086)\tPrec@1 91.406 (93.133)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2328 (0.3078)\tPrec@1 93.359 (93.132)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3017 (0.3070)\tPrec@1 92.578 (93.160)\n",
      " * Prec@1 93.175\n",
      "Epoch: [156][0/118]\tTime 0.354 (0.354)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][10/118]\tTime 0.612 (0.589)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][20/118]\tTime 0.617 (0.601)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][30/118]\tTime 0.610 (0.605)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][40/118]\tTime 0.612 (0.607)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][50/118]\tTime 0.611 (0.608)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][60/118]\tTime 0.615 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][70/118]\tTime 0.616 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][80/118]\tTime 0.613 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][90/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][100/118]\tTime 0.615 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][110/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.396 (0.396)\tLoss 0.3260 (0.3260)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3051 (0.2935)\tPrec@1 93.359 (93.572)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.5038 (0.3216)\tPrec@1 91.016 (93.136)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3221 (0.3080)\tPrec@1 93.359 (93.284)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2638 (0.3099)\tPrec@1 94.531 (93.178)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.5392 (0.3099)\tPrec@1 91.797 (93.091)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3213 (0.3127)\tPrec@1 94.531 (93.046)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3114 (0.3110)\tPrec@1 93.359 (93.062)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2741 (0.3077)\tPrec@1 92.969 (93.142)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2447 (0.3083)\tPrec@1 93.359 (93.119)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2672 (0.3094)\tPrec@1 93.359 (93.100)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3860 (0.3080)\tPrec@1 92.188 (93.099)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2443 (0.3093)\tPrec@1 94.922 (93.091)\n",
      "Test: [130/157]\tTime 0.180 (0.184)\tLoss 0.1741 (0.3124)\tPrec@1 95.312 (93.046)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3242 (0.3151)\tPrec@1 92.969 (93.016)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3520 (0.3146)\tPrec@1 93.359 (93.031)\n",
      " * Prec@1 93.090\n",
      "Epoch: [157][0/118]\tTime 0.344 (0.344)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][10/118]\tTime 0.614 (0.589)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][20/118]\tTime 0.613 (0.600)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][30/118]\tTime 0.612 (0.605)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][40/118]\tTime 0.612 (0.607)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][50/118]\tTime 0.615 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][60/118]\tTime 0.614 (0.609)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][70/118]\tTime 0.611 (0.609)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][80/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][90/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][100/118]\tTime 0.613 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][110/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.399 (0.399)\tLoss 0.2924 (0.2924)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2905 (0.3134)\tPrec@1 93.359 (93.075)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3170 (0.3065)\tPrec@1 92.969 (93.043)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.4090 (0.3023)\tPrec@1 91.406 (93.044)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2654 (0.2986)\tPrec@1 94.922 (93.121)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2961 (0.2956)\tPrec@1 94.922 (93.275)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2851 (0.2983)\tPrec@1 93.750 (93.218)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1964 (0.2949)\tPrec@1 96.094 (93.310)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.2077 (0.2968)\tPrec@1 95.703 (93.273)\n",
      "Test: [90/157]\tTime 0.181 (0.185)\tLoss 0.4628 (0.2987)\tPrec@1 92.188 (93.295)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2767 (0.3069)\tPrec@1 92.969 (93.185)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2807 (0.3082)\tPrec@1 93.750 (93.155)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3838 (0.3111)\tPrec@1 92.969 (93.120)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2406 (0.3112)\tPrec@1 94.531 (93.103)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4181 (0.3117)\tPrec@1 91.016 (93.099)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2581 (0.3108)\tPrec@1 94.141 (93.080)\n",
      " * Prec@1 93.090\n",
      "Epoch: [158][0/118]\tTime 0.347 (0.347)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][10/118]\tTime 0.614 (0.589)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][20/118]\tTime 0.612 (0.600)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][30/118]\tTime 0.613 (0.604)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][40/118]\tTime 0.613 (0.606)\tLoss 0.0023 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][50/118]\tTime 0.614 (0.608)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][60/118]\tTime 0.614 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][70/118]\tTime 0.615 (0.609)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][80/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][90/118]\tTime 0.608 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][100/118]\tTime 0.612 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][110/118]\tTime 0.609 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.398 (0.398)\tLoss 0.4875 (0.4875)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.203)\tLoss 0.3632 (0.3662)\tPrec@1 92.578 (92.436)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3610 (0.3474)\tPrec@1 92.578 (92.857)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.2398 (0.3336)\tPrec@1 92.578 (92.931)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2886 (0.3194)\tPrec@1 92.578 (93.197)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2110 (0.3147)\tPrec@1 95.703 (93.275)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.1782 (0.3075)\tPrec@1 96.484 (93.455)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.1899 (0.3101)\tPrec@1 96.094 (93.425)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2942 (0.3081)\tPrec@1 93.750 (93.403)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3617 (0.3135)\tPrec@1 91.406 (93.243)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2408 (0.3119)\tPrec@1 94.531 (93.216)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.1837 (0.3153)\tPrec@1 95.703 (93.173)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2847 (0.3110)\tPrec@1 92.578 (93.246)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3951 (0.3157)\tPrec@1 92.188 (93.127)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3740 (0.3152)\tPrec@1 92.578 (93.157)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3004 (0.3138)\tPrec@1 93.750 (93.142)\n",
      " * Prec@1 93.153\n",
      "Epoch: [159][0/118]\tTime 0.340 (0.340)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][10/118]\tTime 0.616 (0.588)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][20/118]\tTime 0.612 (0.600)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][30/118]\tTime 0.610 (0.604)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][40/118]\tTime 0.614 (0.606)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][50/118]\tTime 0.612 (0.608)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][60/118]\tTime 0.612 (0.608)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][70/118]\tTime 0.614 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][80/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][90/118]\tTime 0.615 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][100/118]\tTime 0.617 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][110/118]\tTime 0.610 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.392 (0.392)\tLoss 0.4528 (0.4528)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.181 (0.201)\tLoss 0.2565 (0.2937)\tPrec@1 93.750 (93.892)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.4273 (0.3035)\tPrec@1 91.016 (93.545)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.3124 (0.2938)\tPrec@1 92.969 (93.498)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.3507 (0.2999)\tPrec@1 92.188 (93.378)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.4762 (0.3102)\tPrec@1 89.844 (93.091)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3190 (0.3105)\tPrec@1 93.750 (93.129)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2343 (0.3077)\tPrec@1 95.703 (93.233)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3384 (0.3112)\tPrec@1 92.188 (93.104)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2678 (0.3100)\tPrec@1 92.188 (93.098)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2855 (0.3096)\tPrec@1 94.141 (93.135)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3592 (0.3079)\tPrec@1 92.969 (93.187)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3949 (0.3095)\tPrec@1 92.188 (93.159)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2503 (0.3115)\tPrec@1 95.312 (93.121)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.4616 (0.3094)\tPrec@1 91.406 (93.160)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2527 (0.3076)\tPrec@1 93.359 (93.191)\n",
      " * Prec@1 93.147\n",
      "Epoch: [160][0/118]\tTime 0.348 (0.348)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][10/118]\tTime 0.615 (0.589)\tLoss 0.0015 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][20/118]\tTime 0.618 (0.601)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][30/118]\tTime 0.616 (0.605)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][40/118]\tTime 0.611 (0.607)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][50/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][60/118]\tTime 0.613 (0.609)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][70/118]\tTime 0.605 (0.609)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][80/118]\tTime 0.613 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][90/118]\tTime 0.609 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][100/118]\tTime 0.608 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][110/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.3261 (0.3261)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2981 (0.3143)\tPrec@1 94.141 (93.359)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.4585 (0.3027)\tPrec@1 91.016 (93.211)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3295 (0.3086)\tPrec@1 92.969 (93.183)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3832 (0.3097)\tPrec@1 91.797 (93.140)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2620 (0.3038)\tPrec@1 94.922 (93.275)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2697 (0.2984)\tPrec@1 94.531 (93.366)\n",
      "Test: [70/157]\tTime 0.180 (0.185)\tLoss 0.3941 (0.3027)\tPrec@1 92.188 (93.293)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3008 (0.3053)\tPrec@1 92.578 (93.229)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3383 (0.3102)\tPrec@1 93.359 (93.179)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3235 (0.3097)\tPrec@1 93.750 (93.216)\n",
      "Test: [110/157]\tTime 0.184 (0.184)\tLoss 0.3173 (0.3106)\tPrec@1 94.141 (93.187)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3193 (0.3125)\tPrec@1 93.750 (93.162)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3128 (0.3093)\tPrec@1 93.750 (93.213)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3538 (0.3098)\tPrec@1 92.969 (93.190)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3715 (0.3099)\tPrec@1 91.797 (93.173)\n",
      " * Prec@1 93.180\n",
      "Epoch: [161][0/118]\tTime 0.346 (0.346)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][10/118]\tTime 0.614 (0.588)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][20/118]\tTime 0.610 (0.600)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][30/118]\tTime 0.616 (0.605)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][40/118]\tTime 0.612 (0.606)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][50/118]\tTime 0.615 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][60/118]\tTime 0.613 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][70/118]\tTime 0.613 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][80/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][90/118]\tTime 0.616 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][100/118]\tTime 0.616 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][110/118]\tTime 0.616 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.2671 (0.2671)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3383 (0.3173)\tPrec@1 93.750 (92.933)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2160 (0.3134)\tPrec@1 94.922 (92.876)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2729 (0.3143)\tPrec@1 92.969 (92.918)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2614 (0.3072)\tPrec@1 95.312 (93.169)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.2007 (0.3115)\tPrec@1 93.359 (93.068)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2772 (0.3120)\tPrec@1 93.359 (93.033)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3514 (0.3152)\tPrec@1 94.141 (93.057)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3570 (0.3128)\tPrec@1 92.578 (93.109)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2643 (0.3074)\tPrec@1 93.750 (93.218)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3671 (0.3095)\tPrec@1 92.969 (93.143)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3507 (0.3105)\tPrec@1 92.188 (93.106)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3611 (0.3119)\tPrec@1 91.406 (93.062)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3295 (0.3100)\tPrec@1 92.188 (93.082)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3387 (0.3097)\tPrec@1 92.969 (93.096)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3644 (0.3111)\tPrec@1 91.406 (93.093)\n",
      " * Prec@1 93.112\n",
      "Epoch: [162][0/118]\tTime 0.335 (0.335)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][10/118]\tTime 0.613 (0.588)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [162][20/118]\tTime 0.616 (0.600)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][30/118]\tTime 0.612 (0.604)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][40/118]\tTime 0.609 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][50/118]\tTime 0.613 (0.608)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][60/118]\tTime 0.613 (0.609)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][70/118]\tTime 0.614 (0.609)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][80/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][90/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][100/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][110/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.1962 (0.1962)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2034 (0.2801)\tPrec@1 95.312 (93.750)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3165 (0.2856)\tPrec@1 93.750 (93.601)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1853 (0.2916)\tPrec@1 95.312 (93.637)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4230 (0.2999)\tPrec@1 90.234 (93.436)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2063 (0.3023)\tPrec@1 94.922 (93.359)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2646 (0.3005)\tPrec@1 94.141 (93.379)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2819 (0.3047)\tPrec@1 93.359 (93.310)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3882 (0.3037)\tPrec@1 92.188 (93.326)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2813 (0.3068)\tPrec@1 93.359 (93.248)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3965 (0.3074)\tPrec@1 91.797 (93.216)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2832 (0.3075)\tPrec@1 92.578 (93.180)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2551 (0.3067)\tPrec@1 94.141 (93.201)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2021 (0.3028)\tPrec@1 94.531 (93.255)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2786 (0.3051)\tPrec@1 93.359 (93.207)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2837 (0.3073)\tPrec@1 93.750 (93.186)\n",
      " * Prec@1 93.153\n",
      "Epoch: [163][0/118]\tTime 0.344 (0.344)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][10/118]\tTime 0.608 (0.588)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][20/118]\tTime 0.615 (0.601)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][30/118]\tTime 0.613 (0.604)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][40/118]\tTime 0.611 (0.606)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][50/118]\tTime 0.613 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][60/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][70/118]\tTime 0.615 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][80/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][90/118]\tTime 0.612 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][100/118]\tTime 0.613 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][110/118]\tTime 0.606 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.397 (0.397)\tLoss 0.4278 (0.4278)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.4007 (0.3258)\tPrec@1 91.406 (92.898)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2625 (0.3238)\tPrec@1 95.703 (93.043)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.2473 (0.3217)\tPrec@1 93.750 (92.918)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3837 (0.3076)\tPrec@1 92.969 (93.159)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.2534 (0.3072)\tPrec@1 94.531 (93.191)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3333 (0.3121)\tPrec@1 92.578 (93.110)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.2993 (0.3093)\tPrec@1 92.578 (93.134)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2362 (0.3054)\tPrec@1 95.312 (93.229)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4233 (0.3061)\tPrec@1 89.844 (93.183)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.1988 (0.3035)\tPrec@1 95.703 (93.236)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3207 (0.3060)\tPrec@1 93.359 (93.201)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1810 (0.3097)\tPrec@1 96.875 (93.140)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2801 (0.3129)\tPrec@1 92.969 (93.112)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.3937 (0.3149)\tPrec@1 91.797 (93.044)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3288 (0.3137)\tPrec@1 93.359 (93.077)\n",
      " * Prec@1 93.090\n",
      "Epoch: [164][0/118]\tTime 0.345 (0.345)\tLoss 0.0027 (0.0027)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][10/118]\tTime 0.616 (0.589)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][20/118]\tTime 0.618 (0.601)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][30/118]\tTime 0.614 (0.605)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][40/118]\tTime 0.610 (0.607)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][50/118]\tTime 0.615 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][60/118]\tTime 0.610 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][70/118]\tTime 0.611 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][80/118]\tTime 0.613 (0.610)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][90/118]\tTime 0.613 (0.610)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][100/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][110/118]\tTime 0.613 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.376 (0.376)\tLoss 0.2829 (0.2829)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.3823 (0.2877)\tPrec@1 91.797 (93.643)\n",
      "Test: [20/157]\tTime 0.181 (0.191)\tLoss 0.1948 (0.2939)\tPrec@1 93.750 (93.620)\n",
      "Test: [30/157]\tTime 0.183 (0.188)\tLoss 0.3742 (0.3074)\tPrec@1 91.797 (93.309)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3253 (0.2972)\tPrec@1 92.578 (93.417)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.2123 (0.2962)\tPrec@1 94.922 (93.436)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3001 (0.2979)\tPrec@1 92.188 (93.391)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2907 (0.3048)\tPrec@1 94.531 (93.227)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3609 (0.3078)\tPrec@1 92.188 (93.123)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.2100 (0.3072)\tPrec@1 95.312 (93.132)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2057 (0.3019)\tPrec@1 94.922 (93.224)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2920 (0.3056)\tPrec@1 93.359 (93.183)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3499 (0.3065)\tPrec@1 93.359 (93.172)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4012 (0.3087)\tPrec@1 91.797 (93.145)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.3441 (0.3107)\tPrec@1 93.750 (93.141)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3996 (0.3125)\tPrec@1 92.188 (93.098)\n",
      " * Prec@1 93.103\n",
      "Epoch: [165][0/118]\tTime 0.366 (0.366)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][10/118]\tTime 0.614 (0.591)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][20/118]\tTime 0.612 (0.601)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][30/118]\tTime 0.614 (0.605)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][40/118]\tTime 0.615 (0.607)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][50/118]\tTime 0.614 (0.609)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][60/118]\tTime 0.614 (0.609)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][70/118]\tTime 0.613 (0.610)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][80/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][90/118]\tTime 0.615 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][100/118]\tTime 0.605 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][110/118]\tTime 0.613 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.381 (0.381)\tLoss 0.2707 (0.2707)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3288 (0.3491)\tPrec@1 94.141 (92.543)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2243 (0.3218)\tPrec@1 94.531 (93.006)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2518 (0.3160)\tPrec@1 95.312 (93.095)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2773 (0.3077)\tPrec@1 92.969 (93.121)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3045 (0.3089)\tPrec@1 92.969 (93.091)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3351 (0.3093)\tPrec@1 92.578 (93.154)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4019 (0.3110)\tPrec@1 91.406 (93.189)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4053 (0.3110)\tPrec@1 92.578 (93.181)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2613 (0.3051)\tPrec@1 92.969 (93.192)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.3444 (0.3061)\tPrec@1 92.969 (93.185)\n",
      "Test: [110/157]\tTime 0.184 (0.184)\tLoss 0.2879 (0.3049)\tPrec@1 94.141 (93.240)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2480 (0.3076)\tPrec@1 91.406 (93.224)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3325 (0.3071)\tPrec@1 92.969 (93.228)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2064 (0.3091)\tPrec@1 94.141 (93.174)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.1888 (0.3073)\tPrec@1 94.922 (93.186)\n",
      " * Prec@1 93.170\n",
      "Epoch: [166][0/118]\tTime 0.337 (0.337)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][10/118]\tTime 0.613 (0.588)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][20/118]\tTime 0.610 (0.600)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][30/118]\tTime 0.609 (0.604)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][40/118]\tTime 0.615 (0.606)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][50/118]\tTime 0.608 (0.607)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][60/118]\tTime 0.614 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][70/118]\tTime 0.612 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][80/118]\tTime 0.613 (0.609)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][90/118]\tTime 0.618 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][100/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][110/118]\tTime 0.612 (0.610)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.2375 (0.2375)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.3416 (0.2620)\tPrec@1 94.531 (94.141)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.5976 (0.2864)\tPrec@1 89.062 (93.638)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2277 (0.2958)\tPrec@1 94.531 (93.296)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.2324 (0.2989)\tPrec@1 93.750 (93.274)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3318 (0.3036)\tPrec@1 92.578 (93.222)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4251 (0.3021)\tPrec@1 91.797 (93.257)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3957 (0.2979)\tPrec@1 91.016 (93.365)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3511 (0.3013)\tPrec@1 91.406 (93.316)\n",
      "Test: [90/157]\tTime 0.181 (0.184)\tLoss 0.1701 (0.3044)\tPrec@1 96.484 (93.295)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.4615 (0.3110)\tPrec@1 90.625 (93.174)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3814 (0.3127)\tPrec@1 92.188 (93.134)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3546 (0.3099)\tPrec@1 92.188 (93.204)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.3273 (0.3082)\tPrec@1 93.359 (93.201)\n",
      "Test: [140/157]\tTime 0.181 (0.184)\tLoss 0.3965 (0.3083)\tPrec@1 91.016 (93.204)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3778 (0.3102)\tPrec@1 91.016 (93.160)\n",
      " * Prec@1 93.160\n",
      "Epoch: [167][0/118]\tTime 0.343 (0.343)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][10/118]\tTime 0.613 (0.588)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][20/118]\tTime 0.615 (0.600)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][30/118]\tTime 0.615 (0.604)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][40/118]\tTime 0.613 (0.606)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][50/118]\tTime 0.616 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][60/118]\tTime 0.611 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][70/118]\tTime 0.616 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][80/118]\tTime 0.607 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][90/118]\tTime 0.613 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][100/118]\tTime 0.616 (0.610)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][110/118]\tTime 0.613 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.401 (0.401)\tLoss 0.4081 (0.4081)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2660 (0.3087)\tPrec@1 94.922 (93.004)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.4108 (0.2970)\tPrec@1 90.234 (93.155)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3574 (0.2937)\tPrec@1 91.797 (93.208)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3654 (0.2947)\tPrec@1 91.406 (93.226)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2418 (0.2963)\tPrec@1 94.531 (93.237)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3293 (0.2970)\tPrec@1 92.969 (93.270)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4284 (0.2968)\tPrec@1 89.844 (93.255)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.2300 (0.3035)\tPrec@1 94.922 (93.152)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4699 (0.3073)\tPrec@1 91.016 (93.140)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.1960 (0.3043)\tPrec@1 94.531 (93.166)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.4221 (0.3072)\tPrec@1 90.234 (93.120)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2313 (0.3081)\tPrec@1 93.359 (93.117)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2748 (0.3072)\tPrec@1 94.141 (93.136)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3226 (0.3078)\tPrec@1 92.188 (93.116)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3027 (0.3088)\tPrec@1 92.578 (93.080)\n",
      " * Prec@1 93.080\n",
      "Epoch: [168][0/118]\tTime 0.355 (0.355)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][10/118]\tTime 0.612 (0.590)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][20/118]\tTime 0.617 (0.601)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][30/118]\tTime 0.615 (0.605)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][40/118]\tTime 0.608 (0.607)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][50/118]\tTime 0.608 (0.608)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][60/118]\tTime 0.611 (0.609)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][70/118]\tTime 0.614 (0.609)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][80/118]\tTime 0.614 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][90/118]\tTime 0.611 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][100/118]\tTime 0.614 (0.610)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][110/118]\tTime 0.607 (0.611)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.408 (0.408)\tLoss 0.2416 (0.2416)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.181 (0.203)\tLoss 0.3753 (0.2742)\tPrec@1 92.578 (93.750)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3294 (0.2975)\tPrec@1 91.797 (93.136)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.2801 (0.3077)\tPrec@1 94.531 (93.170)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2635 (0.3139)\tPrec@1 93.750 (92.912)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.4101 (0.3113)\tPrec@1 91.016 (93.015)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2527 (0.3029)\tPrec@1 94.531 (93.238)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4387 (0.3090)\tPrec@1 90.625 (93.101)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.4680 (0.3128)\tPrec@1 90.234 (93.027)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3339 (0.3116)\tPrec@1 93.359 (93.067)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3313 (0.3121)\tPrec@1 91.797 (93.042)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3176 (0.3119)\tPrec@1 91.797 (93.074)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3468 (0.3131)\tPrec@1 93.359 (93.053)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2501 (0.3149)\tPrec@1 93.359 (93.025)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2552 (0.3129)\tPrec@1 94.922 (93.091)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3795 (0.3152)\tPrec@1 91.406 (93.028)\n",
      " * Prec@1 93.065\n",
      "Epoch: [169][0/118]\tTime 0.345 (0.345)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][10/118]\tTime 0.612 (0.589)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][20/118]\tTime 0.611 (0.600)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][30/118]\tTime 0.618 (0.604)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][40/118]\tTime 0.612 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][50/118]\tTime 0.614 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [169][60/118]\tTime 0.609 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][70/118]\tTime 0.615 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][80/118]\tTime 0.616 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][90/118]\tTime 0.610 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][100/118]\tTime 0.613 (0.611)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][110/118]\tTime 0.616 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.408 (0.408)\tLoss 0.3497 (0.3497)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.182 (0.203)\tLoss 0.2617 (0.3360)\tPrec@1 93.750 (92.827)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2789 (0.3300)\tPrec@1 94.141 (93.025)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3566 (0.3229)\tPrec@1 94.141 (93.019)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.1385 (0.3233)\tPrec@1 97.656 (92.997)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3554 (0.3217)\tPrec@1 91.406 (92.946)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3373 (0.3192)\tPrec@1 91.406 (92.988)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2747 (0.3124)\tPrec@1 92.578 (93.062)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2930 (0.3097)\tPrec@1 92.969 (93.109)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2377 (0.3057)\tPrec@1 94.922 (93.183)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2025 (0.3051)\tPrec@1 94.531 (93.212)\n",
      "Test: [110/157]\tTime 0.184 (0.184)\tLoss 0.1853 (0.3081)\tPrec@1 94.922 (93.159)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2369 (0.3061)\tPrec@1 94.531 (93.143)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.4786 (0.3090)\tPrec@1 91.016 (93.133)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2411 (0.3117)\tPrec@1 94.531 (93.080)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2775 (0.3118)\tPrec@1 92.969 (93.101)\n",
      " * Prec@1 93.112\n",
      "Epoch: [170][0/118]\tTime 0.346 (0.346)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][10/118]\tTime 0.615 (0.589)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][20/118]\tTime 0.614 (0.600)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][30/118]\tTime 0.614 (0.605)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][40/118]\tTime 0.612 (0.607)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][50/118]\tTime 0.613 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][60/118]\tTime 0.613 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][70/118]\tTime 0.614 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][80/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][90/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][100/118]\tTime 0.612 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][110/118]\tTime 0.612 (0.611)\tLoss 0.0022 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.2845 (0.2845)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3871 (0.3206)\tPrec@1 90.625 (92.862)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2279 (0.3006)\tPrec@1 95.312 (93.304)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2478 (0.3022)\tPrec@1 94.531 (93.322)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3173 (0.2988)\tPrec@1 94.141 (93.369)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2870 (0.3050)\tPrec@1 93.359 (93.183)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2539 (0.3038)\tPrec@1 94.922 (93.231)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4386 (0.3063)\tPrec@1 90.234 (93.189)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4877 (0.3134)\tPrec@1 91.016 (93.128)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4374 (0.3144)\tPrec@1 90.234 (93.115)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.1812 (0.3120)\tPrec@1 95.703 (93.158)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3234 (0.3096)\tPrec@1 92.969 (93.229)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3796 (0.3099)\tPrec@1 92.188 (93.208)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.1685 (0.3116)\tPrec@1 96.094 (93.154)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3194 (0.3112)\tPrec@1 92.188 (93.132)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.3314 (0.3108)\tPrec@1 92.969 (93.139)\n",
      " * Prec@1 93.175\n",
      "Epoch: [171][0/118]\tTime 0.341 (0.341)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][10/118]\tTime 0.612 (0.590)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][20/118]\tTime 0.612 (0.601)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][30/118]\tTime 0.616 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][40/118]\tTime 0.615 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][50/118]\tTime 0.615 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][60/118]\tTime 0.611 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][70/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][80/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][90/118]\tTime 0.613 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][100/118]\tTime 0.615 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][110/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.377 (0.377)\tLoss 0.2238 (0.2238)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.3228 (0.3228)\tPrec@1 92.578 (92.649)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.1950 (0.3091)\tPrec@1 95.312 (93.062)\n",
      "Test: [30/157]\tTime 0.184 (0.189)\tLoss 0.3466 (0.3092)\tPrec@1 93.359 (93.158)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3743 (0.3070)\tPrec@1 91.797 (93.197)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2227 (0.3062)\tPrec@1 94.141 (93.252)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2818 (0.3049)\tPrec@1 94.141 (93.334)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2521 (0.3056)\tPrec@1 94.922 (93.337)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2852 (0.3028)\tPrec@1 91.797 (93.383)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3247 (0.3070)\tPrec@1 93.750 (93.243)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3161 (0.3048)\tPrec@1 90.625 (93.301)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2777 (0.3085)\tPrec@1 94.141 (93.229)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4050 (0.3103)\tPrec@1 92.188 (93.179)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.2215 (0.3104)\tPrec@1 94.141 (93.192)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3184 (0.3098)\tPrec@1 93.359 (93.188)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4475 (0.3117)\tPrec@1 91.406 (93.139)\n",
      " * Prec@1 93.088\n",
      "Epoch: [172][0/118]\tTime 0.350 (0.350)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][10/118]\tTime 0.614 (0.590)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][20/118]\tTime 0.616 (0.602)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][30/118]\tTime 0.614 (0.606)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][40/118]\tTime 0.615 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][50/118]\tTime 0.609 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][60/118]\tTime 0.613 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][70/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][80/118]\tTime 0.612 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][90/118]\tTime 0.614 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][100/118]\tTime 0.617 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][110/118]\tTime 0.617 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.2990 (0.2990)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.183 (0.200)\tLoss 0.3085 (0.3345)\tPrec@1 92.188 (92.969)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.3578 (0.3089)\tPrec@1 92.578 (93.192)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3742 (0.3011)\tPrec@1 93.750 (93.208)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.4498 (0.3152)\tPrec@1 91.406 (93.093)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.2935 (0.3145)\tPrec@1 94.531 (93.145)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3564 (0.3081)\tPrec@1 92.578 (93.212)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.4964 (0.3106)\tPrec@1 90.625 (93.178)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3678 (0.3086)\tPrec@1 91.797 (93.200)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2822 (0.3096)\tPrec@1 92.969 (93.183)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.2575 (0.3088)\tPrec@1 94.531 (93.239)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3911 (0.3112)\tPrec@1 91.016 (93.169)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3658 (0.3121)\tPrec@1 91.797 (93.159)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3416 (0.3107)\tPrec@1 94.922 (93.198)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.1946 (0.3085)\tPrec@1 95.703 (93.237)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2649 (0.3077)\tPrec@1 92.969 (93.230)\n",
      " * Prec@1 93.210\n",
      "Epoch: [173][0/118]\tTime 0.351 (0.351)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][10/118]\tTime 0.615 (0.590)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][20/118]\tTime 0.613 (0.602)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][30/118]\tTime 0.615 (0.606)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][40/118]\tTime 0.613 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][50/118]\tTime 0.616 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][60/118]\tTime 0.614 (0.610)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][70/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][80/118]\tTime 0.609 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][90/118]\tTime 0.617 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][100/118]\tTime 0.618 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][110/118]\tTime 0.618 (0.612)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.3635 (0.3635)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.2847 (0.3099)\tPrec@1 92.969 (93.217)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.1844 (0.3178)\tPrec@1 95.312 (93.248)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2816 (0.3125)\tPrec@1 93.750 (93.107)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.4227 (0.3143)\tPrec@1 89.844 (93.083)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2886 (0.3107)\tPrec@1 92.188 (93.114)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3614 (0.3154)\tPrec@1 91.016 (93.046)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2498 (0.3147)\tPrec@1 94.531 (93.090)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3300 (0.3167)\tPrec@1 92.188 (93.022)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2324 (0.3151)\tPrec@1 94.141 (93.046)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2704 (0.3156)\tPrec@1 94.531 (93.081)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3048 (0.3144)\tPrec@1 92.969 (93.110)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4051 (0.3108)\tPrec@1 91.406 (93.127)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2929 (0.3085)\tPrec@1 93.359 (93.189)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3450 (0.3087)\tPrec@1 92.969 (93.174)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3532 (0.3093)\tPrec@1 92.969 (93.165)\n",
      " * Prec@1 93.127\n",
      "Epoch: [174][0/118]\tTime 0.344 (0.344)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][10/118]\tTime 0.611 (0.590)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][20/118]\tTime 0.614 (0.601)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][30/118]\tTime 0.616 (0.606)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][40/118]\tTime 0.615 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][50/118]\tTime 0.617 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][60/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][70/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][80/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][90/118]\tTime 0.612 (0.612)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][100/118]\tTime 0.616 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][110/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.380 (0.380)\tLoss 0.4137 (0.4137)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3329 (0.3081)\tPrec@1 94.141 (93.146)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3697 (0.3085)\tPrec@1 90.234 (93.118)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2673 (0.3123)\tPrec@1 93.359 (93.158)\n",
      "Test: [40/157]\tTime 0.184 (0.188)\tLoss 0.3172 (0.3145)\tPrec@1 92.969 (93.035)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.1734 (0.3141)\tPrec@1 94.922 (93.038)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.3879 (0.3170)\tPrec@1 92.969 (93.046)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3403 (0.3177)\tPrec@1 92.578 (93.046)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1885 (0.3106)\tPrec@1 94.922 (93.104)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3600 (0.3108)\tPrec@1 91.797 (93.098)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.1919 (0.3074)\tPrec@1 94.922 (93.151)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3224 (0.3062)\tPrec@1 93.359 (93.183)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2693 (0.3071)\tPrec@1 95.312 (93.185)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4605 (0.3066)\tPrec@1 90.625 (93.172)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2594 (0.3074)\tPrec@1 92.969 (93.107)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.3171 (0.3066)\tPrec@1 91.406 (93.134)\n",
      " * Prec@1 93.155\n",
      "Epoch: [175][0/118]\tTime 0.357 (0.357)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][10/118]\tTime 0.617 (0.592)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][20/118]\tTime 0.611 (0.602)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][30/118]\tTime 0.616 (0.606)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][40/118]\tTime 0.613 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][50/118]\tTime 0.617 (0.610)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][60/118]\tTime 0.618 (0.611)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][70/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][80/118]\tTime 0.614 (0.612)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][90/118]\tTime 0.612 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][100/118]\tTime 0.617 (0.612)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][110/118]\tTime 0.617 (0.613)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.3577 (0.3577)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.4373 (0.3438)\tPrec@1 90.625 (92.294)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2890 (0.3131)\tPrec@1 94.531 (92.969)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2380 (0.3056)\tPrec@1 95.312 (93.057)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4449 (0.3011)\tPrec@1 90.625 (93.112)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3127 (0.2956)\tPrec@1 91.797 (93.199)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3987 (0.2998)\tPrec@1 91.797 (93.148)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1702 (0.2970)\tPrec@1 95.312 (93.211)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1865 (0.3005)\tPrec@1 94.922 (93.176)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3447 (0.3005)\tPrec@1 93.359 (93.183)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2850 (0.3037)\tPrec@1 92.969 (93.123)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3801 (0.3091)\tPrec@1 92.969 (93.074)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.1798 (0.3060)\tPrec@1 96.875 (93.195)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3409 (0.3060)\tPrec@1 91.016 (93.174)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2328 (0.3061)\tPrec@1 92.969 (93.177)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2079 (0.3083)\tPrec@1 95.312 (93.142)\n",
      " * Prec@1 93.127\n",
      "Epoch: [176][0/118]\tTime 0.344 (0.344)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][10/118]\tTime 0.614 (0.590)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][20/118]\tTime 0.614 (0.601)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][30/118]\tTime 0.615 (0.606)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][40/118]\tTime 0.616 (0.608)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][50/118]\tTime 0.612 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][60/118]\tTime 0.620 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][70/118]\tTime 0.616 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][80/118]\tTime 0.618 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][90/118]\tTime 0.612 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [176][100/118]\tTime 0.614 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][110/118]\tTime 0.614 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.2902 (0.2902)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.4271 (0.3005)\tPrec@1 91.016 (93.182)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2201 (0.2966)\tPrec@1 94.922 (93.304)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2837 (0.2935)\tPrec@1 94.141 (93.448)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.2735 (0.2999)\tPrec@1 92.578 (93.369)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.3184 (0.2994)\tPrec@1 92.188 (93.444)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.2369 (0.2989)\tPrec@1 94.141 (93.404)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2936 (0.3038)\tPrec@1 92.969 (93.359)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3761 (0.3040)\tPrec@1 91.797 (93.350)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.1766 (0.3033)\tPrec@1 96.484 (93.338)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2367 (0.3019)\tPrec@1 92.188 (93.294)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4903 (0.3010)\tPrec@1 89.453 (93.317)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.3063 (0.3058)\tPrec@1 92.969 (93.266)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.5083 (0.3076)\tPrec@1 90.234 (93.189)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3743 (0.3089)\tPrec@1 92.578 (93.171)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2346 (0.3086)\tPrec@1 94.141 (93.168)\n",
      " * Prec@1 93.147\n",
      "Epoch: [177][0/118]\tTime 0.359 (0.359)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][10/118]\tTime 0.612 (0.592)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][20/118]\tTime 0.613 (0.602)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][30/118]\tTime 0.620 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][40/118]\tTime 0.614 (0.608)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][50/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][60/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][70/118]\tTime 0.616 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][80/118]\tTime 0.618 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][90/118]\tTime 0.614 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][100/118]\tTime 0.616 (0.612)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][110/118]\tTime 0.613 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.394 (0.394)\tLoss 0.2148 (0.2148)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2596 (0.2731)\tPrec@1 93.750 (93.786)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2690 (0.3012)\tPrec@1 92.578 (93.266)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3123 (0.3029)\tPrec@1 90.625 (93.183)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3511 (0.3080)\tPrec@1 92.578 (93.131)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.3891 (0.3123)\tPrec@1 91.797 (92.992)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2403 (0.3051)\tPrec@1 94.922 (93.161)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1729 (0.3055)\tPrec@1 96.094 (93.134)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1260 (0.3010)\tPrec@1 95.312 (93.195)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.1796 (0.2991)\tPrec@1 95.703 (93.218)\n",
      "Test: [100/157]\tTime 0.184 (0.185)\tLoss 0.4185 (0.3043)\tPrec@1 91.016 (93.181)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3460 (0.3053)\tPrec@1 92.578 (93.152)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.3842 (0.3059)\tPrec@1 91.797 (93.156)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2250 (0.3094)\tPrec@1 94.531 (93.136)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.4121 (0.3107)\tPrec@1 90.234 (93.099)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3116 (0.3106)\tPrec@1 93.750 (93.116)\n",
      " * Prec@1 93.145\n",
      "Epoch: [178][0/118]\tTime 0.350 (0.350)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][10/118]\tTime 0.614 (0.590)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][20/118]\tTime 0.615 (0.602)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][30/118]\tTime 0.616 (0.606)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][40/118]\tTime 0.616 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][50/118]\tTime 0.616 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][60/118]\tTime 0.615 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][70/118]\tTime 0.613 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][80/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][90/118]\tTime 0.611 (0.612)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][100/118]\tTime 0.615 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][110/118]\tTime 0.619 (0.612)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.4231 (0.4231)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3575 (0.3225)\tPrec@1 91.406 (92.756)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3297 (0.3026)\tPrec@1 94.141 (93.155)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3459 (0.3123)\tPrec@1 90.625 (92.956)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.4182 (0.3164)\tPrec@1 91.406 (92.883)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3890 (0.3256)\tPrec@1 91.797 (92.785)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.2885 (0.3217)\tPrec@1 93.750 (92.815)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2872 (0.3163)\tPrec@1 92.578 (92.919)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3805 (0.3163)\tPrec@1 92.969 (92.964)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.4322 (0.3160)\tPrec@1 90.234 (92.986)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2676 (0.3124)\tPrec@1 94.531 (93.104)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3842 (0.3135)\tPrec@1 92.578 (93.078)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3693 (0.3119)\tPrec@1 92.969 (93.088)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3418 (0.3098)\tPrec@1 91.406 (93.115)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2950 (0.3095)\tPrec@1 94.141 (93.107)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3084 (0.3098)\tPrec@1 92.969 (93.101)\n",
      " * Prec@1 93.103\n",
      "Epoch: [179][0/118]\tTime 0.340 (0.340)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][10/118]\tTime 0.606 (0.589)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][20/118]\tTime 0.612 (0.602)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][30/118]\tTime 0.614 (0.606)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][40/118]\tTime 0.615 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][50/118]\tTime 0.613 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][60/118]\tTime 0.620 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][70/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][80/118]\tTime 0.614 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][90/118]\tTime 0.610 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][100/118]\tTime 0.610 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][110/118]\tTime 0.617 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.379 (0.379)\tLoss 0.3776 (0.3776)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3486 (0.3077)\tPrec@1 93.750 (93.217)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2776 (0.2914)\tPrec@1 91.016 (93.415)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.4307 (0.2988)\tPrec@1 90.234 (93.385)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2901 (0.3002)\tPrec@1 93.750 (93.426)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.2890 (0.3058)\tPrec@1 94.141 (93.405)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4055 (0.3114)\tPrec@1 90.625 (93.225)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.1617 (0.3115)\tPrec@1 95.703 (93.216)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3726 (0.3176)\tPrec@1 92.188 (93.123)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4568 (0.3167)\tPrec@1 91.016 (93.128)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3004 (0.3143)\tPrec@1 93.750 (93.162)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.5029 (0.3152)\tPrec@1 89.062 (93.120)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.2664 (0.3137)\tPrec@1 93.359 (93.153)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3620 (0.3183)\tPrec@1 91.406 (93.076)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.4936 (0.3182)\tPrec@1 91.406 (93.091)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2993 (0.3183)\tPrec@1 93.359 (93.096)\n",
      " * Prec@1 93.108\n",
      "Epoch: [180][0/118]\tTime 0.349 (0.349)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][10/118]\tTime 0.612 (0.591)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][20/118]\tTime 0.617 (0.602)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][30/118]\tTime 0.619 (0.606)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][40/118]\tTime 0.613 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][50/118]\tTime 0.615 (0.610)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][60/118]\tTime 0.613 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][70/118]\tTime 0.615 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][80/118]\tTime 0.615 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][90/118]\tTime 0.617 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][100/118]\tTime 0.614 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][110/118]\tTime 0.612 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.373 (0.373)\tLoss 0.2294 (0.2294)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.181 (0.200)\tLoss 0.3147 (0.3364)\tPrec@1 94.141 (93.359)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.1751 (0.3188)\tPrec@1 95.703 (93.229)\n",
      "Test: [30/157]\tTime 0.184 (0.189)\tLoss 0.3824 (0.3117)\tPrec@1 91.406 (93.145)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3886 (0.3128)\tPrec@1 91.016 (93.083)\n",
      "Test: [50/157]\tTime 0.184 (0.186)\tLoss 0.2091 (0.3060)\tPrec@1 95.312 (93.199)\n",
      "Test: [60/157]\tTime 0.181 (0.186)\tLoss 0.2774 (0.3103)\tPrec@1 93.750 (92.969)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.1749 (0.3106)\tPrec@1 94.922 (93.013)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.4521 (0.3119)\tPrec@1 91.406 (93.089)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3204 (0.3146)\tPrec@1 92.188 (93.003)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2624 (0.3155)\tPrec@1 94.531 (92.992)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3707 (0.3121)\tPrec@1 93.359 (93.102)\n",
      "Test: [120/157]\tTime 0.184 (0.184)\tLoss 0.3063 (0.3101)\tPrec@1 92.969 (93.108)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3458 (0.3103)\tPrec@1 91.797 (93.070)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.1564 (0.3115)\tPrec@1 96.875 (93.044)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2177 (0.3107)\tPrec@1 94.141 (93.067)\n",
      " * Prec@1 93.112\n",
      "Epoch: [181][0/118]\tTime 0.349 (0.349)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][10/118]\tTime 0.608 (0.589)\tLoss 0.0026 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][20/118]\tTime 0.616 (0.602)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][30/118]\tTime 0.618 (0.606)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][40/118]\tTime 0.617 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][50/118]\tTime 0.616 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][60/118]\tTime 0.611 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][70/118]\tTime 0.614 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][80/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][90/118]\tTime 0.621 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][100/118]\tTime 0.614 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][110/118]\tTime 0.614 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.397 (0.397)\tLoss 0.3736 (0.3736)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.184 (0.202)\tLoss 0.2835 (0.3188)\tPrec@1 93.750 (92.827)\n",
      "Test: [20/157]\tTime 0.184 (0.193)\tLoss 0.2877 (0.3284)\tPrec@1 94.922 (92.839)\n",
      "Test: [30/157]\tTime 0.181 (0.190)\tLoss 0.3562 (0.3195)\tPrec@1 93.359 (93.133)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3901 (0.3178)\tPrec@1 92.188 (93.150)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2945 (0.3119)\tPrec@1 92.969 (93.267)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2778 (0.3235)\tPrec@1 93.750 (93.110)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3408 (0.3184)\tPrec@1 90.625 (93.134)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.1877 (0.3146)\tPrec@1 94.141 (93.195)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3131 (0.3134)\tPrec@1 93.750 (93.183)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2364 (0.3152)\tPrec@1 95.312 (93.178)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.3333 (0.3178)\tPrec@1 93.750 (93.148)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3926 (0.3180)\tPrec@1 93.359 (93.169)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3638 (0.3202)\tPrec@1 92.188 (93.148)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.5115 (0.3190)\tPrec@1 89.453 (93.124)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2919 (0.3186)\tPrec@1 93.359 (93.152)\n",
      " * Prec@1 93.190\n",
      "Epoch: [182][0/118]\tTime 0.350 (0.350)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][10/118]\tTime 0.615 (0.590)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][20/118]\tTime 0.614 (0.602)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][30/118]\tTime 0.616 (0.606)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][40/118]\tTime 0.614 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][50/118]\tTime 0.613 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][60/118]\tTime 0.616 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][70/118]\tTime 0.618 (0.611)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][80/118]\tTime 0.614 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][90/118]\tTime 0.615 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][100/118]\tTime 0.616 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][110/118]\tTime 0.615 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.1829 (0.1829)\tPrec@1 96.484 (96.484)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3258 (0.3042)\tPrec@1 94.141 (93.430)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.1642 (0.2977)\tPrec@1 96.094 (93.545)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3264 (0.3117)\tPrec@1 91.797 (93.145)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.1251 (0.3074)\tPrec@1 96.875 (93.245)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.4324 (0.3150)\tPrec@1 90.625 (93.053)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.3882 (0.3170)\tPrec@1 91.797 (93.052)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2923 (0.3158)\tPrec@1 93.359 (93.079)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2183 (0.3148)\tPrec@1 95.703 (93.094)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.1833 (0.3119)\tPrec@1 96.094 (93.123)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.2926 (0.3105)\tPrec@1 94.531 (93.162)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2993 (0.3103)\tPrec@1 94.141 (93.148)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3359 (0.3085)\tPrec@1 92.578 (93.195)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2690 (0.3080)\tPrec@1 95.312 (93.192)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.3295 (0.3088)\tPrec@1 92.188 (93.179)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2678 (0.3098)\tPrec@1 94.531 (93.191)\n",
      " * Prec@1 93.200\n",
      "Epoch: [183][0/118]\tTime 0.347 (0.347)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][10/118]\tTime 0.615 (0.590)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][20/118]\tTime 0.609 (0.602)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][30/118]\tTime 0.617 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][40/118]\tTime 0.615 (0.608)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][50/118]\tTime 0.613 (0.609)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][60/118]\tTime 0.618 (0.610)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][70/118]\tTime 0.616 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][80/118]\tTime 0.613 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][90/118]\tTime 0.616 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][100/118]\tTime 0.617 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][110/118]\tTime 0.615 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.2267 (0.2267)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3703 (0.3083)\tPrec@1 91.016 (92.969)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3261 (0.2941)\tPrec@1 93.359 (93.285)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3755 (0.2973)\tPrec@1 91.016 (93.233)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4980 (0.3102)\tPrec@1 89.844 (93.035)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.3123 (0.3095)\tPrec@1 94.141 (93.107)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3478 (0.3099)\tPrec@1 92.578 (93.078)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.4225 (0.3051)\tPrec@1 91.406 (93.150)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.1169 (0.3063)\tPrec@1 94.922 (93.142)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3696 (0.3072)\tPrec@1 91.797 (93.132)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.2781 (0.3083)\tPrec@1 93.750 (93.104)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3015 (0.3105)\tPrec@1 92.969 (93.043)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1853 (0.3080)\tPrec@1 95.312 (93.124)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2891 (0.3102)\tPrec@1 94.141 (93.070)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2926 (0.3083)\tPrec@1 93.750 (93.132)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3961 (0.3091)\tPrec@1 92.578 (93.108)\n",
      " * Prec@1 93.120\n",
      "Epoch: [184][0/118]\tTime 0.349 (0.349)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][10/118]\tTime 0.619 (0.590)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][20/118]\tTime 0.614 (0.601)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][30/118]\tTime 0.613 (0.606)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][40/118]\tTime 0.613 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][50/118]\tTime 0.614 (0.609)\tLoss 0.0024 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][60/118]\tTime 0.615 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][70/118]\tTime 0.619 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][80/118]\tTime 0.615 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][90/118]\tTime 0.612 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][100/118]\tTime 0.615 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][110/118]\tTime 0.615 (0.612)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.385 (0.385)\tLoss 0.2177 (0.2177)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2986 (0.2911)\tPrec@1 93.750 (93.786)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3677 (0.2959)\tPrec@1 91.797 (93.620)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.1604 (0.2960)\tPrec@1 96.094 (93.637)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2261 (0.3027)\tPrec@1 93.750 (93.445)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2887 (0.3061)\tPrec@1 94.141 (93.451)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3844 (0.3027)\tPrec@1 92.969 (93.462)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2467 (0.3022)\tPrec@1 94.531 (93.442)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.2298 (0.3032)\tPrec@1 94.531 (93.383)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.3008 (0.3038)\tPrec@1 93.750 (93.321)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3241 (0.3033)\tPrec@1 92.578 (93.328)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4409 (0.3067)\tPrec@1 91.406 (93.254)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3399 (0.3081)\tPrec@1 94.141 (93.217)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2264 (0.3105)\tPrec@1 92.969 (93.163)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.1869 (0.3087)\tPrec@1 95.312 (93.196)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.3824 (0.3106)\tPrec@1 92.578 (93.160)\n",
      " * Prec@1 93.145\n",
      "Epoch: [185][0/118]\tTime 0.346 (0.346)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][10/118]\tTime 0.612 (0.590)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][20/118]\tTime 0.616 (0.601)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][30/118]\tTime 0.621 (0.606)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][40/118]\tTime 0.614 (0.608)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][50/118]\tTime 0.616 (0.609)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][60/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][70/118]\tTime 0.614 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][80/118]\tTime 0.612 (0.611)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][90/118]\tTime 0.621 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][100/118]\tTime 0.617 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][110/118]\tTime 0.615 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.2480 (0.2480)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.2225 (0.2555)\tPrec@1 94.531 (94.389)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.3852 (0.3012)\tPrec@1 91.016 (93.527)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3870 (0.3175)\tPrec@1 92.188 (93.145)\n",
      "Test: [40/157]\tTime 0.182 (0.188)\tLoss 0.3332 (0.3190)\tPrec@1 92.969 (93.159)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.1755 (0.3154)\tPrec@1 96.875 (93.222)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.3779 (0.3167)\tPrec@1 91.797 (93.161)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.4263 (0.3166)\tPrec@1 90.625 (93.128)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3230 (0.3168)\tPrec@1 92.578 (93.099)\n",
      "Test: [90/157]\tTime 0.184 (0.185)\tLoss 0.2719 (0.3171)\tPrec@1 93.359 (93.093)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3967 (0.3177)\tPrec@1 90.234 (93.058)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2707 (0.3155)\tPrec@1 94.141 (93.113)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.4407 (0.3184)\tPrec@1 91.797 (93.085)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.2643 (0.3193)\tPrec@1 95.312 (93.037)\n",
      "Test: [140/157]\tTime 0.184 (0.184)\tLoss 0.3488 (0.3173)\tPrec@1 92.578 (93.055)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3074 (0.3124)\tPrec@1 92.578 (93.134)\n",
      " * Prec@1 93.115\n",
      "Epoch: [186][0/118]\tTime 0.352 (0.352)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][10/118]\tTime 0.617 (0.590)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][20/118]\tTime 0.615 (0.602)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][30/118]\tTime 0.615 (0.606)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][40/118]\tTime 0.617 (0.608)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][50/118]\tTime 0.613 (0.609)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][60/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][70/118]\tTime 0.614 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][80/118]\tTime 0.612 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][90/118]\tTime 0.613 (0.611)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][100/118]\tTime 0.615 (0.611)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][110/118]\tTime 0.614 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.3247 (0.3247)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.2395 (0.3659)\tPrec@1 94.141 (92.010)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2432 (0.3377)\tPrec@1 94.922 (92.671)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.1778 (0.3281)\tPrec@1 94.922 (92.843)\n",
      "Test: [40/157]\tTime 0.184 (0.187)\tLoss 0.2262 (0.3285)\tPrec@1 94.141 (92.816)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3521 (0.3272)\tPrec@1 93.359 (92.854)\n",
      "Test: [60/157]\tTime 0.184 (0.186)\tLoss 0.2783 (0.3205)\tPrec@1 94.531 (93.020)\n",
      "Test: [70/157]\tTime 0.181 (0.185)\tLoss 0.3528 (0.3157)\tPrec@1 91.016 (93.106)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.5026 (0.3194)\tPrec@1 89.844 (92.969)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.3636 (0.3212)\tPrec@1 92.578 (92.943)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.4024 (0.3212)\tPrec@1 91.797 (93.000)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3963 (0.3202)\tPrec@1 92.578 (93.022)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.1934 (0.3186)\tPrec@1 95.703 (93.033)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3704 (0.3161)\tPrec@1 92.969 (93.091)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3054 (0.3161)\tPrec@1 92.188 (93.129)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4217 (0.3162)\tPrec@1 90.234 (93.108)\n",
      " * Prec@1 93.130\n",
      "Epoch: [187][0/118]\tTime 0.344 (0.344)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][10/118]\tTime 0.613 (0.588)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [187][20/118]\tTime 0.614 (0.600)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][30/118]\tTime 0.612 (0.604)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][40/118]\tTime 0.607 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][50/118]\tTime 0.611 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][60/118]\tTime 0.610 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][70/118]\tTime 0.611 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][80/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][90/118]\tTime 0.614 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][100/118]\tTime 0.614 (0.610)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][110/118]\tTime 0.618 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.393 (0.393)\tLoss 0.2504 (0.2504)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3040 (0.3155)\tPrec@1 94.141 (92.933)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.4085 (0.2964)\tPrec@1 91.797 (93.304)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3445 (0.2955)\tPrec@1 90.625 (93.334)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.1588 (0.2837)\tPrec@1 94.922 (93.588)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.3772 (0.2956)\tPrec@1 91.016 (93.398)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3320 (0.2945)\tPrec@1 94.141 (93.385)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.5047 (0.3034)\tPrec@1 89.844 (93.288)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3018 (0.3085)\tPrec@1 92.969 (93.224)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3632 (0.3040)\tPrec@1 91.797 (93.308)\n",
      "Test: [100/157]\tTime 0.181 (0.184)\tLoss 0.3496 (0.3069)\tPrec@1 93.359 (93.255)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3467 (0.3050)\tPrec@1 94.141 (93.331)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2403 (0.3085)\tPrec@1 95.703 (93.256)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.2473 (0.3074)\tPrec@1 93.750 (93.237)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3786 (0.3070)\tPrec@1 92.578 (93.268)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4708 (0.3105)\tPrec@1 90.234 (93.194)\n",
      " * Prec@1 93.150\n",
      "Epoch: [188][0/118]\tTime 0.335 (0.335)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][10/118]\tTime 0.613 (0.588)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][20/118]\tTime 0.619 (0.600)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][30/118]\tTime 0.612 (0.604)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][40/118]\tTime 0.611 (0.607)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][50/118]\tTime 0.617 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][60/118]\tTime 0.616 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][70/118]\tTime 0.612 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][80/118]\tTime 0.615 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][90/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][100/118]\tTime 0.612 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][110/118]\tTime 0.611 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.377 (0.377)\tLoss 0.3566 (0.3566)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.3186 (0.2979)\tPrec@1 92.188 (93.253)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.3860 (0.2981)\tPrec@1 92.188 (93.359)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4024 (0.3082)\tPrec@1 91.016 (93.183)\n",
      "Test: [40/157]\tTime 0.181 (0.187)\tLoss 0.4539 (0.3166)\tPrec@1 92.188 (93.102)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3330 (0.3134)\tPrec@1 92.969 (93.168)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.2497 (0.3096)\tPrec@1 94.531 (93.218)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.5237 (0.3139)\tPrec@1 89.062 (93.073)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2713 (0.3104)\tPrec@1 94.922 (93.142)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.2295 (0.3099)\tPrec@1 94.141 (93.110)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.4016 (0.3083)\tPrec@1 91.406 (93.104)\n",
      "Test: [110/157]\tTime 0.181 (0.184)\tLoss 0.3807 (0.3060)\tPrec@1 91.797 (93.131)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.1605 (0.3060)\tPrec@1 94.922 (93.117)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.2006 (0.3063)\tPrec@1 94.141 (93.127)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3674 (0.3058)\tPrec@1 92.578 (93.143)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.4324 (0.3072)\tPrec@1 91.797 (93.147)\n",
      " * Prec@1 93.160\n",
      "Epoch: [189][0/118]\tTime 0.340 (0.340)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][10/118]\tTime 0.607 (0.588)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][20/118]\tTime 0.613 (0.600)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][30/118]\tTime 0.614 (0.604)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][40/118]\tTime 0.615 (0.606)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][50/118]\tTime 0.618 (0.607)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][60/118]\tTime 0.611 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][70/118]\tTime 0.609 (0.609)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][80/118]\tTime 0.612 (0.609)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][90/118]\tTime 0.612 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][100/118]\tTime 0.613 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][110/118]\tTime 0.616 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.3354 (0.3354)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2173 (0.3018)\tPrec@1 94.141 (93.430)\n",
      "Test: [20/157]\tTime 0.181 (0.192)\tLoss 0.2266 (0.3194)\tPrec@1 95.312 (93.043)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3707 (0.3346)\tPrec@1 93.359 (92.755)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.1417 (0.3301)\tPrec@1 97.266 (92.854)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.2288 (0.3256)\tPrec@1 94.922 (92.969)\n",
      "Test: [60/157]\tTime 0.183 (0.185)\tLoss 0.4574 (0.3257)\tPrec@1 89.453 (92.982)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3433 (0.3205)\tPrec@1 93.359 (93.084)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.2252 (0.3147)\tPrec@1 94.141 (93.157)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.2903 (0.3148)\tPrec@1 93.750 (93.132)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2871 (0.3131)\tPrec@1 94.531 (93.139)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2817 (0.3124)\tPrec@1 94.922 (93.148)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.4041 (0.3149)\tPrec@1 91.016 (93.101)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.3340 (0.3155)\tPrec@1 91.797 (93.091)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.2895 (0.3135)\tPrec@1 91.797 (93.118)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2598 (0.3142)\tPrec@1 94.531 (93.129)\n",
      " * Prec@1 93.103\n",
      "Epoch: [190][0/118]\tTime 0.341 (0.341)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][10/118]\tTime 0.611 (0.588)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][20/118]\tTime 0.614 (0.600)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][30/118]\tTime 0.614 (0.604)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][40/118]\tTime 0.611 (0.606)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][50/118]\tTime 0.616 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][60/118]\tTime 0.614 (0.609)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][70/118]\tTime 0.610 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][80/118]\tTime 0.614 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][90/118]\tTime 0.610 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][100/118]\tTime 0.612 (0.610)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][110/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.400 (0.400)\tLoss 0.2104 (0.2104)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.2714 (0.2757)\tPrec@1 94.141 (93.892)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3151 (0.3066)\tPrec@1 93.359 (93.080)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.4217 (0.3098)\tPrec@1 91.016 (93.032)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4540 (0.3138)\tPrec@1 91.406 (92.978)\n",
      "Test: [50/157]\tTime 0.181 (0.187)\tLoss 0.1393 (0.3074)\tPrec@1 95.703 (93.153)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2482 (0.3046)\tPrec@1 95.312 (93.231)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.4133 (0.3065)\tPrec@1 90.234 (93.178)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2492 (0.3047)\tPrec@1 94.141 (93.220)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2047 (0.3065)\tPrec@1 95.703 (93.175)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.3245 (0.3095)\tPrec@1 92.969 (93.108)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.2576 (0.3086)\tPrec@1 94.531 (93.120)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2970 (0.3090)\tPrec@1 92.188 (93.140)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3589 (0.3096)\tPrec@1 92.578 (93.121)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3401 (0.3120)\tPrec@1 91.797 (93.080)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.2113 (0.3086)\tPrec@1 94.922 (93.168)\n",
      " * Prec@1 93.165\n",
      "Epoch: [191][0/118]\tTime 0.343 (0.343)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][10/118]\tTime 0.606 (0.588)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][20/118]\tTime 0.612 (0.600)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][30/118]\tTime 0.613 (0.604)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][40/118]\tTime 0.614 (0.606)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][50/118]\tTime 0.614 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][60/118]\tTime 0.613 (0.608)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][70/118]\tTime 0.612 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][80/118]\tTime 0.613 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][90/118]\tTime 0.614 (0.610)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][100/118]\tTime 0.614 (0.610)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][110/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3766 (0.3766)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.3402 (0.2973)\tPrec@1 92.969 (93.963)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.4286 (0.2981)\tPrec@1 92.188 (93.601)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.3248 (0.3052)\tPrec@1 94.531 (93.359)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3609 (0.2979)\tPrec@1 92.969 (93.512)\n",
      "Test: [50/157]\tTime 0.181 (0.186)\tLoss 0.2377 (0.3034)\tPrec@1 93.750 (93.336)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.4003 (0.3091)\tPrec@1 91.797 (93.186)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.3531 (0.3065)\tPrec@1 91.797 (93.227)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3341 (0.3103)\tPrec@1 91.406 (93.142)\n",
      "Test: [90/157]\tTime 0.182 (0.184)\tLoss 0.3131 (0.3121)\tPrec@1 92.969 (93.123)\n",
      "Test: [100/157]\tTime 0.183 (0.184)\tLoss 0.2588 (0.3107)\tPrec@1 96.094 (93.158)\n",
      "Test: [110/157]\tTime 0.182 (0.184)\tLoss 0.3222 (0.3131)\tPrec@1 92.969 (93.141)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3798 (0.3166)\tPrec@1 91.797 (93.043)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3818 (0.3158)\tPrec@1 92.188 (93.037)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2184 (0.3145)\tPrec@1 95.703 (93.041)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3090 (0.3124)\tPrec@1 93.750 (93.075)\n",
      " * Prec@1 93.135\n",
      "Epoch: [192][0/118]\tTime 0.345 (0.345)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][10/118]\tTime 0.610 (0.588)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][20/118]\tTime 0.613 (0.600)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][30/118]\tTime 0.611 (0.604)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][40/118]\tTime 0.613 (0.607)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][50/118]\tTime 0.616 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][60/118]\tTime 0.616 (0.609)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][70/118]\tTime 0.612 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][80/118]\tTime 0.610 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][90/118]\tTime 0.609 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][100/118]\tTime 0.616 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][110/118]\tTime 0.613 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.398 (0.398)\tLoss 0.2695 (0.2695)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.184 (0.202)\tLoss 0.3570 (0.3225)\tPrec@1 92.969 (93.146)\n",
      "Test: [20/157]\tTime 0.182 (0.193)\tLoss 0.3295 (0.3206)\tPrec@1 92.969 (92.969)\n",
      "Test: [30/157]\tTime 0.181 (0.189)\tLoss 0.1282 (0.3204)\tPrec@1 96.875 (93.019)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.2763 (0.3229)\tPrec@1 92.969 (92.959)\n",
      "Test: [50/157]\tTime 0.182 (0.186)\tLoss 0.3453 (0.3174)\tPrec@1 93.359 (93.076)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2846 (0.3135)\tPrec@1 92.969 (93.116)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2344 (0.3116)\tPrec@1 95.312 (93.139)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.4210 (0.3093)\tPrec@1 91.406 (93.171)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2980 (0.3104)\tPrec@1 94.141 (93.149)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.2782 (0.3108)\tPrec@1 93.750 (93.108)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3338 (0.3102)\tPrec@1 92.578 (93.106)\n",
      "Test: [120/157]\tTime 0.181 (0.184)\tLoss 0.3201 (0.3109)\tPrec@1 91.406 (93.101)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2712 (0.3113)\tPrec@1 93.359 (93.079)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2296 (0.3127)\tPrec@1 94.141 (93.046)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.3180 (0.3122)\tPrec@1 92.578 (93.070)\n",
      " * Prec@1 93.085\n",
      "Epoch: [193][0/118]\tTime 0.337 (0.337)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][10/118]\tTime 0.608 (0.588)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][20/118]\tTime 0.617 (0.600)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][30/118]\tTime 0.613 (0.604)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][40/118]\tTime 0.617 (0.607)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][50/118]\tTime 0.613 (0.608)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][60/118]\tTime 0.613 (0.609)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][70/118]\tTime 0.615 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][80/118]\tTime 0.610 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][90/118]\tTime 0.607 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][100/118]\tTime 0.615 (0.610)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][110/118]\tTime 0.612 (0.611)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.382 (0.382)\tLoss 0.4880 (0.4880)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.1627 (0.3407)\tPrec@1 95.703 (92.614)\n",
      "Test: [20/157]\tTime 0.183 (0.192)\tLoss 0.2544 (0.3297)\tPrec@1 93.750 (92.708)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.2481 (0.3258)\tPrec@1 95.312 (92.906)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.1983 (0.3212)\tPrec@1 95.703 (92.902)\n",
      "Test: [50/157]\tTime 0.183 (0.186)\tLoss 0.3056 (0.3161)\tPrec@1 92.578 (93.015)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2942 (0.3168)\tPrec@1 92.969 (92.982)\n",
      "Test: [70/157]\tTime 0.182 (0.185)\tLoss 0.2395 (0.3171)\tPrec@1 94.141 (92.947)\n",
      "Test: [80/157]\tTime 0.181 (0.185)\tLoss 0.4188 (0.3201)\tPrec@1 91.016 (92.921)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2549 (0.3183)\tPrec@1 94.531 (92.999)\n",
      "Test: [100/157]\tTime 0.182 (0.184)\tLoss 0.3143 (0.3156)\tPrec@1 94.141 (93.034)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.3513 (0.3152)\tPrec@1 93.359 (93.043)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2645 (0.3136)\tPrec@1 94.531 (93.053)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3211 (0.3122)\tPrec@1 92.578 (93.067)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2882 (0.3101)\tPrec@1 93.359 (93.099)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.3411 (0.3073)\tPrec@1 91.797 (93.147)\n",
      " * Prec@1 93.172\n",
      "Epoch: [194][0/118]\tTime 0.353 (0.353)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][10/118]\tTime 0.615 (0.590)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][20/118]\tTime 0.614 (0.601)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][30/118]\tTime 0.612 (0.605)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][40/118]\tTime 0.613 (0.607)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][50/118]\tTime 0.614 (0.608)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [194][60/118]\tTime 0.611 (0.610)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][70/118]\tTime 0.615 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][80/118]\tTime 0.616 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][90/118]\tTime 0.614 (0.611)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][100/118]\tTime 0.610 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][110/118]\tTime 0.616 (0.612)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.388 (0.388)\tLoss 0.4592 (0.4592)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.182 (0.201)\tLoss 0.2290 (0.2789)\tPrec@1 95.312 (94.070)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2886 (0.2794)\tPrec@1 94.141 (94.066)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2442 (0.2788)\tPrec@1 94.922 (94.052)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2972 (0.2952)\tPrec@1 94.141 (93.569)\n",
      "Test: [50/157]\tTime 0.184 (0.187)\tLoss 0.4095 (0.3000)\tPrec@1 90.625 (93.375)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3391 (0.3034)\tPrec@1 91.406 (93.302)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.3068 (0.2977)\tPrec@1 91.406 (93.354)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.2212 (0.2967)\tPrec@1 94.141 (93.364)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2048 (0.2965)\tPrec@1 96.094 (93.389)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3901 (0.2991)\tPrec@1 92.578 (93.359)\n",
      "Test: [110/157]\tTime 0.182 (0.185)\tLoss 0.3473 (0.3015)\tPrec@1 92.969 (93.300)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2155 (0.2996)\tPrec@1 93.750 (93.311)\n",
      "Test: [130/157]\tTime 0.181 (0.184)\tLoss 0.3453 (0.3042)\tPrec@1 92.188 (93.246)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3377 (0.3087)\tPrec@1 92.188 (93.168)\n",
      "Test: [150/157]\tTime 0.181 (0.184)\tLoss 0.2739 (0.3090)\tPrec@1 92.969 (93.176)\n",
      " * Prec@1 93.145\n",
      "Epoch: [195][0/118]\tTime 0.350 (0.350)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][10/118]\tTime 0.616 (0.590)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][20/118]\tTime 0.613 (0.601)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][30/118]\tTime 0.614 (0.605)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][40/118]\tTime 0.614 (0.608)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][50/118]\tTime 0.615 (0.609)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][60/118]\tTime 0.615 (0.610)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][70/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][80/118]\tTime 0.618 (0.611)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][90/118]\tTime 0.615 (0.612)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][100/118]\tTime 0.615 (0.612)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][110/118]\tTime 0.617 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.378 (0.378)\tLoss 0.3235 (0.3235)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.182 (0.200)\tLoss 0.2386 (0.2678)\tPrec@1 94.531 (93.963)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.2388 (0.2600)\tPrec@1 95.312 (94.066)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.4720 (0.2841)\tPrec@1 90.625 (93.737)\n",
      "Test: [40/157]\tTime 0.183 (0.187)\tLoss 0.3076 (0.2884)\tPrec@1 92.188 (93.674)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2261 (0.2925)\tPrec@1 94.141 (93.635)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3645 (0.2995)\tPrec@1 92.578 (93.449)\n",
      "Test: [70/157]\tTime 0.183 (0.185)\tLoss 0.2354 (0.3057)\tPrec@1 94.531 (93.354)\n",
      "Test: [80/157]\tTime 0.183 (0.185)\tLoss 0.3533 (0.3069)\tPrec@1 92.188 (93.359)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.3399 (0.3080)\tPrec@1 93.359 (93.351)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3307 (0.3119)\tPrec@1 93.359 (93.274)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2962 (0.3101)\tPrec@1 93.750 (93.303)\n",
      "Test: [120/157]\tTime 0.183 (0.184)\tLoss 0.2740 (0.3123)\tPrec@1 92.969 (93.217)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3684 (0.3141)\tPrec@1 92.578 (93.183)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2362 (0.3136)\tPrec@1 94.531 (93.154)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2030 (0.3139)\tPrec@1 94.531 (93.160)\n",
      " * Prec@1 93.165\n",
      "Epoch: [196][0/118]\tTime 0.346 (0.346)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][10/118]\tTime 0.616 (0.590)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][20/118]\tTime 0.613 (0.602)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][30/118]\tTime 0.618 (0.606)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][40/118]\tTime 0.612 (0.608)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][50/118]\tTime 0.612 (0.609)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][60/118]\tTime 0.617 (0.610)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][70/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][80/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][90/118]\tTime 0.613 (0.612)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][100/118]\tTime 0.617 (0.612)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][110/118]\tTime 0.616 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.4082 (0.4082)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.184 (0.201)\tLoss 0.2932 (0.3192)\tPrec@1 93.359 (93.430)\n",
      "Test: [20/157]\tTime 0.181 (0.193)\tLoss 0.3048 (0.3217)\tPrec@1 93.359 (93.304)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3581 (0.3187)\tPrec@1 91.797 (93.183)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.4466 (0.3248)\tPrec@1 92.188 (93.245)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.1386 (0.3217)\tPrec@1 96.094 (93.214)\n",
      "Test: [60/157]\tTime 0.183 (0.186)\tLoss 0.3415 (0.3234)\tPrec@1 91.406 (93.129)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.3200 (0.3236)\tPrec@1 93.750 (93.123)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.4020 (0.3245)\tPrec@1 92.188 (93.113)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2530 (0.3220)\tPrec@1 94.531 (93.140)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.5056 (0.3232)\tPrec@1 89.453 (93.112)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2476 (0.3233)\tPrec@1 94.531 (93.127)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.3282 (0.3216)\tPrec@1 93.359 (93.117)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.4112 (0.3196)\tPrec@1 92.578 (93.172)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.3880 (0.3201)\tPrec@1 92.969 (93.179)\n",
      "Test: [150/157]\tTime 0.184 (0.184)\tLoss 0.2491 (0.3184)\tPrec@1 95.703 (93.189)\n",
      " * Prec@1 93.192\n",
      "Epoch: [197][0/118]\tTime 0.363 (0.363)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][10/118]\tTime 0.615 (0.591)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][20/118]\tTime 0.614 (0.602)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][30/118]\tTime 0.614 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][40/118]\tTime 0.611 (0.608)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][50/118]\tTime 0.615 (0.610)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][60/118]\tTime 0.611 (0.610)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][70/118]\tTime 0.613 (0.611)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][80/118]\tTime 0.617 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][90/118]\tTime 0.611 (0.612)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][100/118]\tTime 0.612 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][110/118]\tTime 0.613 (0.613)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.389 (0.389)\tLoss 0.3016 (0.3016)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.183 (0.202)\tLoss 0.3054 (0.3074)\tPrec@1 94.531 (93.324)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2924 (0.3047)\tPrec@1 93.359 (93.471)\n",
      "Test: [30/157]\tTime 0.182 (0.190)\tLoss 0.3385 (0.2979)\tPrec@1 91.406 (93.385)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.3210 (0.3034)\tPrec@1 94.141 (93.216)\n",
      "Test: [50/157]\tTime 0.182 (0.187)\tLoss 0.3274 (0.2969)\tPrec@1 92.969 (93.413)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3268 (0.2936)\tPrec@1 93.359 (93.500)\n",
      "Test: [70/157]\tTime 0.184 (0.186)\tLoss 0.2686 (0.2992)\tPrec@1 94.141 (93.431)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3223 (0.3039)\tPrec@1 92.578 (93.374)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.2944 (0.3041)\tPrec@1 93.750 (93.351)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3909 (0.3059)\tPrec@1 91.406 (93.336)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.4289 (0.3071)\tPrec@1 90.234 (93.303)\n",
      "Test: [120/157]\tTime 0.183 (0.185)\tLoss 0.3832 (0.3116)\tPrec@1 90.625 (93.188)\n",
      "Test: [130/157]\tTime 0.182 (0.184)\tLoss 0.3067 (0.3098)\tPrec@1 91.797 (93.198)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3253 (0.3103)\tPrec@1 92.578 (93.171)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2963 (0.3128)\tPrec@1 94.531 (93.121)\n",
      " * Prec@1 93.100\n",
      "Epoch: [198][0/118]\tTime 0.347 (0.347)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][10/118]\tTime 0.614 (0.591)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][20/118]\tTime 0.614 (0.602)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][30/118]\tTime 0.619 (0.607)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][40/118]\tTime 0.619 (0.609)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][50/118]\tTime 0.615 (0.610)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][60/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][70/118]\tTime 0.614 (0.611)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][80/118]\tTime 0.617 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][90/118]\tTime 0.616 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][100/118]\tTime 0.613 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][110/118]\tTime 0.614 (0.613)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.390 (0.390)\tLoss 0.2249 (0.2249)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.182 (0.202)\tLoss 0.4002 (0.3089)\tPrec@1 91.406 (93.253)\n",
      "Test: [20/157]\tTime 0.183 (0.193)\tLoss 0.2860 (0.3182)\tPrec@1 92.578 (92.969)\n",
      "Test: [30/157]\tTime 0.182 (0.189)\tLoss 0.2557 (0.3252)\tPrec@1 94.141 (92.956)\n",
      "Test: [40/157]\tTime 0.183 (0.188)\tLoss 0.2306 (0.3216)\tPrec@1 95.703 (93.035)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.2683 (0.3289)\tPrec@1 92.188 (92.762)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.2753 (0.3163)\tPrec@1 93.750 (92.943)\n",
      "Test: [70/157]\tTime 0.183 (0.186)\tLoss 0.2884 (0.3214)\tPrec@1 93.359 (92.875)\n",
      "Test: [80/157]\tTime 0.182 (0.185)\tLoss 0.3622 (0.3239)\tPrec@1 91.016 (92.882)\n",
      "Test: [90/157]\tTime 0.183 (0.185)\tLoss 0.4557 (0.3229)\tPrec@1 92.188 (92.913)\n",
      "Test: [100/157]\tTime 0.182 (0.185)\tLoss 0.3021 (0.3188)\tPrec@1 93.750 (92.976)\n",
      "Test: [110/157]\tTime 0.183 (0.185)\tLoss 0.2907 (0.3148)\tPrec@1 92.969 (93.011)\n",
      "Test: [120/157]\tTime 0.182 (0.185)\tLoss 0.3241 (0.3153)\tPrec@1 92.188 (92.995)\n",
      "Test: [130/157]\tTime 0.183 (0.184)\tLoss 0.2910 (0.3161)\tPrec@1 92.969 (93.013)\n",
      "Test: [140/157]\tTime 0.182 (0.184)\tLoss 0.2809 (0.3142)\tPrec@1 93.359 (93.055)\n",
      "Test: [150/157]\tTime 0.182 (0.184)\tLoss 0.2625 (0.3123)\tPrec@1 94.141 (93.080)\n",
      " * Prec@1 93.100\n",
      "Epoch: [199][0/118]\tTime 0.348 (0.348)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][10/118]\tTime 0.614 (0.591)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][20/118]\tTime 0.617 (0.602)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][30/118]\tTime 0.616 (0.606)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][40/118]\tTime 0.618 (0.609)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][50/118]\tTime 0.615 (0.610)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][60/118]\tTime 0.615 (0.611)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][70/118]\tTime 0.612 (0.611)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][80/118]\tTime 0.614 (0.612)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][90/118]\tTime 0.617 (0.612)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][100/118]\tTime 0.617 (0.612)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][110/118]\tTime 0.614 (0.612)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.383 (0.383)\tLoss 0.3273 (0.3273)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.183 (0.201)\tLoss 0.3821 (0.3450)\tPrec@1 92.969 (92.756)\n",
      "Test: [20/157]\tTime 0.182 (0.192)\tLoss 0.3847 (0.3242)\tPrec@1 91.797 (92.950)\n",
      "Test: [30/157]\tTime 0.183 (0.189)\tLoss 0.3069 (0.3190)\tPrec@1 92.969 (93.095)\n",
      "Test: [40/157]\tTime 0.182 (0.187)\tLoss 0.4112 (0.3247)\tPrec@1 90.625 (92.931)\n",
      "Test: [50/157]\tTime 0.183 (0.187)\tLoss 0.4474 (0.3180)\tPrec@1 90.625 (93.038)\n",
      "Test: [60/157]\tTime 0.182 (0.186)\tLoss 0.3778 (0.3209)\tPrec@1 91.797 (93.046)\n",
      "Test: [70/157]\tTime 0.182 (0.186)\tLoss 0.2752 (0.3132)\tPrec@1 92.969 (93.200)\n",
      "Test: [80/157]\tTime 0.184 (0.185)\tLoss 0.2606 (0.3159)\tPrec@1 93.750 (93.162)\n",
      "Test: [90/157]\tTime 0.182 (0.185)\tLoss 0.2995 (0.3106)\tPrec@1 92.969 (93.192)\n",
      "Test: [100/157]\tTime 0.183 (0.185)\tLoss 0.4893 (0.3115)\tPrec@1 90.234 (93.197)\n",
      "Test: [110/157]\tTime 0.183 (0.184)\tLoss 0.2812 (0.3099)\tPrec@1 91.797 (93.166)\n",
      "Test: [120/157]\tTime 0.182 (0.184)\tLoss 0.2640 (0.3075)\tPrec@1 94.141 (93.221)\n",
      "Test: [130/157]\tTime 0.184 (0.184)\tLoss 0.2700 (0.3140)\tPrec@1 93.359 (93.091)\n",
      "Test: [140/157]\tTime 0.183 (0.184)\tLoss 0.3638 (0.3091)\tPrec@1 92.578 (93.157)\n",
      "Test: [150/157]\tTime 0.183 (0.184)\tLoss 0.4010 (0.3110)\tPrec@1 92.188 (93.129)\n",
      " * Prec@1 93.153\n",
      "Best accuracy:  93.21\n"
     ]
    }
   ],
   "source": [
    "if __name__ == '__main__':\n",
    "    main(hparam)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Best accuracy: 93.21"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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