1.Wide Residual Networks (WideResNets) 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.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": [
    "class BasicBlock(nn.Module):\n",
    "    def __init__(self, in_planes, out_planes, stride, dropRate=0.0):\n",
    "        super(BasicBlock, self).__init__()\n",
    "        self.bn1 = nn.BatchNorm2d(in_planes)\n",
    "        self.relu1 = nn.ReLU(inplace=True)\n",
    "        self.conv1 = nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,\n",
    "                               padding=1, bias=False)\n",
    "        self.bn2 = nn.BatchNorm2d(out_planes)\n",
    "        self.relu2 = nn.ReLU(inplace=True)\n",
    "        self.conv2 = nn.Conv2d(out_planes, out_planes, kernel_size=3, stride=1,\n",
    "                               padding=1, bias=False)\n",
    "        self.droprate = dropRate\n",
    "        self.equalInOut = (in_planes == out_planes)\n",
    "        self.convShortcut = (not self.equalInOut) and nn.Conv2d(in_planes, out_planes, kernel_size=1,\n",
    "                                                                stride=stride, padding=0, bias=False) or None\n",
    "    def forward(self, x):\n",
    "        if not self.equalInOut:\n",
    "            x = self.relu1(self.bn1(x))\n",
    "        else:\n",
    "            out = self.relu1(self.bn1(x))\n",
    "        out = self.relu2(self.bn2(self.conv1(out if self.equalInOut else x)))\n",
    "        if self.droprate > 0:\n",
    "            out = F.dropout(out, p=self.droprate, training=self.training)\n",
    "        out = self.conv2(out)\n",
    "        return torch.add(x if self.equalInOut else self.convShortcut(x), out)\n",
    "\n",
    "class NetworkBlock(nn.Module):\n",
    "    def __init__(self, nb_layers, in_planes, out_planes, block, stride, dropRate=0.0):\n",
    "        super(NetworkBlock, self).__init__()\n",
    "        self.layer = self._make_layer(block, in_planes, out_planes, nb_layers, stride, dropRate)\n",
    "    def _make_layer(self, block, in_planes, out_planes, nb_layers, stride, dropRate):\n",
    "        layers = []\n",
    "        for i in range(int(nb_layers)):\n",
    "            layers.append(block(i == 0 and in_planes or out_planes,\n",
    "                                out_planes, i == 0 and stride or 1, dropRate))\n",
    "        return nn.Sequential(*layers)\n",
    "    def forward(self, x):\n",
    "        return self.layer(x)\n",
    "\n",
    "class WideResNet(nn.Module):\n",
    "    def __init__(self, depth, num_classes, widen_factor=1, dropRate=0.0, parallel=False):\n",
    "        super(WideResNet, self).__init__()\n",
    "        nChannels = [16, 16*widen_factor, 32*widen_factor, 64*widen_factor]\n",
    "        assert((depth - 4) % 6 == 0)\n",
    "        n = (depth - 4) / 6\n",
    "        block = BasicBlock\n",
    "        # 1st conv before any network block\n",
    "        input_channels = 1\n",
    "        self.conv1 = nn.Conv2d(input_channels, nChannels[0], kernel_size=3, stride=1,\n",
    "                               padding=1, bias=False)\n",
    "        # 1st block\n",
    "        self.block1 = NetworkBlock(n, nChannels[0], nChannels[1], block, 1, dropRate)\n",
    "        # 2nd block\n",
    "        self.block2 = NetworkBlock(n, nChannels[1], nChannels[2], block, 2, dropRate)\n",
    "        # 3rd block\n",
    "        self.block3 = NetworkBlock(n, nChannels[2], nChannels[3], block, 2, dropRate)\n",
    "        # global average pooling and classifier\n",
    "        self.bn1 = nn.BatchNorm2d(nChannels[3])\n",
    "        self.relu = nn.ReLU(inplace=True)\n",
    "        self.fc = nn.Linear(nChannels[3], num_classes)\n",
    "        self.nChannels = nChannels[3]\n",
    "        self.parallel = parallel\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",
    "            elif isinstance(m, nn.BatchNorm2d):\n",
    "                m.weight.data.fill_(1)\n",
    "                m.bias.data.zero_()\n",
    "            elif isinstance(m, nn.Linear):\n",
    "                m.bias.data.zero_()\n",
    "    def forward(self, x):\n",
    "        out = self.conv1(x)\n",
    "        out = self.block1(out)\n",
    "        if self.parallel:\n",
    "            out = nn.DataParallel(out)\n",
    "        out = self.block2(out)\n",
    "        if self.parallel:\n",
    "            out = nn.DataParallel(out)\n",
    "        out = self.block3(out)\n",
    "        if self.parallel:\n",
    "            out = nn.DataParallel(out)\n",
    "        out = self.relu(self.bn1(out))\n",
    "        out = F.avg_pool2d(out, 7)\n",
    "        out = out.view(-1, self.nChannels)\n",
    "        return self.fc(out)"
   ]
  },
  {
   "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'] = 'WideResNet_28_10'\t\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'] = True\t\t\t\t\t\t# Nesterov momentum\n",
    "hparam['weight_decay'] = 5e-4\t\t\t\t\t# Weight-decay\n",
    "hparam['layers'] = 28\t\t\t\t\t\t\t# Total number of layers\n",
    "hparam['widen_factor'] = 10\t\t\t\t\t\t# Widen Factor\n",
    "hparam['droprate'] = 0\t\t\t\t\t\t\t# Dropout probability\n",
    "hparam['augment'] = True\t\t\t\t\t\t# Whether to use standard augmentation\n",
    "\n",
    "# GPU Configuration\n",
    "hparam['cuda_device'] = '0'\t\t\t\t\t\t# Which GPU Devices to use (CPU: False)\n",
    "\n",
    "# Hardward Usage\n",
    "hparam['num_workers'] = 4\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",
    "    \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",
    "    \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... (Bad NCCL Installation?)\n",
    "    if type(hparam['cuda_device']) == list and len(hparam['cuda_device']) > 1:\n",
    "        print('\\n===> Training on Multi-GPU!')\n",
    "        model = WideResNet(hparam['layers'], hparam['dataset'] == 'FashionMNIST' and len(hparam['classes']),\n",
    "                           hparam['widen_factor'], dropRate=hparam['droprate'], parallel=True)\n",
    "        model = nn.DataParallel(model, device_ids=hparam['cuda_device'], dim=0)\n",
    "    else:\n",
    "        print('\\n===> Training on Single-GPU!')\n",
    "        model = WideResNet(hparam['layers'], hparam['dataset'] == 'FashionMNIST' and len(hparam['classes']),\n",
    "                           hparam['widen_factor'], dropRate=hparam['droprate'])\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# 37.5M 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]\".format(end_h, end_m, end_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 5 at 60th, 120th and 160th 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": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current CPU Random Seed: 40000\n",
      "Current GPU Random Seed: 40000\n",
      "Test Data: torch.Size([40000, 28, 28])\n",
      "Train Data: torch.Size([30000, 28, 28])\n",
      "(Rearranged)Train: 30000\t Test: 40000\n",
      "\n",
      "===> Training on Single-GPU!\n",
      "Number of model parameters: 36478906\n",
      "Epoch: [0][0/118]\tTime 2.555 (2.555)\tLoss 2.3222 (2.3222)\tPrec@1 10.938 (10.938)\n",
      "Epoch: [0][10/118]\tTime 0.509 (0.691)\tLoss 1.1872 (1.6773)\tPrec@1 55.078 (42.116)\n",
      "Epoch: [0][20/118]\tTime 0.563 (0.618)\tLoss 0.6125 (1.2627)\tPrec@1 73.047 (54.874)\n",
      "Epoch: [0][30/118]\tTime 0.543 (0.595)\tLoss 0.6292 (1.0650)\tPrec@1 73.438 (61.164)\n",
      "Epoch: [0][40/118]\tTime 0.572 (0.579)\tLoss 0.6324 (0.9376)\tPrec@1 75.781 (65.549)\n",
      "Epoch: [0][50/118]\tTime 0.548 (0.572)\tLoss 0.6123 (0.8512)\tPrec@1 77.344 (68.673)\n",
      "Epoch: [0][60/118]\tTime 0.566 (0.566)\tLoss 0.4441 (0.7909)\tPrec@1 82.031 (70.748)\n",
      "Epoch: [0][70/118]\tTime 0.520 (0.562)\tLoss 0.3261 (0.7375)\tPrec@1 87.109 (72.788)\n",
      "Epoch: [0][80/118]\tTime 0.493 (0.557)\tLoss 0.4797 (0.6924)\tPrec@1 84.375 (74.513)\n",
      "Epoch: [0][90/118]\tTime 0.538 (0.552)\tLoss 0.3966 (0.6587)\tPrec@1 86.328 (75.734)\n",
      "Epoch: [0][100/118]\tTime 0.517 (0.549)\tLoss 0.3187 (0.6295)\tPrec@1 88.281 (76.798)\n",
      "Epoch: [0][110/118]\tTime 0.522 (0.546)\tLoss 0.3504 (0.6044)\tPrec@1 87.500 (77.763)\n",
      "Test: [0/157]\tTime 0.258 (0.258)\tLoss 0.4987 (0.4987)\tPrec@1 81.641 (81.641)\n",
      "Test: [10/157]\tTime 0.157 (0.165)\tLoss 0.6607 (0.5828)\tPrec@1 77.734 (80.291)\n",
      "Test: [20/157]\tTime 0.150 (0.156)\tLoss 0.6536 (0.5808)\tPrec@1 76.562 (80.078)\n",
      "Test: [30/157]\tTime 0.146 (0.154)\tLoss 0.6541 (0.5710)\tPrec@1 76.562 (80.166)\n",
      "Test: [40/157]\tTime 0.154 (0.155)\tLoss 0.5257 (0.5663)\tPrec@1 80.469 (80.516)\n",
      "Test: [50/157]\tTime 0.158 (0.156)\tLoss 0.5732 (0.5664)\tPrec@1 82.422 (80.699)\n",
      "Test: [60/157]\tTime 0.153 (0.155)\tLoss 0.4668 (0.5682)\tPrec@1 84.766 (80.744)\n",
      "Test: [70/157]\tTime 0.146 (0.155)\tLoss 0.5340 (0.5664)\tPrec@1 82.031 (80.744)\n",
      "Test: [80/157]\tTime 0.153 (0.154)\tLoss 0.4995 (0.5725)\tPrec@1 82.812 (80.512)\n",
      "Test: [90/157]\tTime 0.148 (0.154)\tLoss 0.6780 (0.5665)\tPrec@1 77.734 (80.593)\n",
      "Test: [100/157]\tTime 0.143 (0.155)\tLoss 0.7129 (0.5670)\tPrec@1 74.609 (80.569)\n",
      "Test: [110/157]\tTime 0.145 (0.154)\tLoss 0.6068 (0.5691)\tPrec@1 76.953 (80.465)\n",
      "Test: [120/157]\tTime 0.145 (0.154)\tLoss 0.5046 (0.5675)\tPrec@1 80.859 (80.443)\n",
      "Test: [130/157]\tTime 0.155 (0.154)\tLoss 0.5717 (0.5679)\tPrec@1 77.344 (80.373)\n",
      "Test: [140/157]\tTime 0.163 (0.154)\tLoss 0.4749 (0.5702)\tPrec@1 82.031 (80.280)\n",
      "Test: [150/157]\tTime 0.152 (0.154)\tLoss 0.6111 (0.5734)\tPrec@1 79.297 (80.174)\n",
      " * Prec@1 80.160\n",
      "Epoch: [1][0/118]\tTime 0.262 (0.262)\tLoss 0.3751 (0.3751)\tPrec@1 87.109 (87.109)\n",
      "Epoch: [1][10/118]\tTime 0.529 (0.509)\tLoss 0.2974 (0.3373)\tPrec@1 87.109 (87.784)\n",
      "Epoch: [1][20/118]\tTime 0.561 (0.523)\tLoss 0.2563 (0.3111)\tPrec@1 90.234 (88.672)\n",
      "Epoch: [1][30/118]\tTime 0.531 (0.523)\tLoss 0.3302 (0.3079)\tPrec@1 88.672 (88.735)\n",
      "Epoch: [1][40/118]\tTime 0.573 (0.528)\tLoss 0.2564 (0.2985)\tPrec@1 93.359 (89.024)\n",
      "Epoch: [1][50/118]\tTime 0.521 (0.528)\tLoss 0.2841 (0.3026)\tPrec@1 88.672 (89.009)\n",
      "Epoch: [1][60/118]\tTime 0.548 (0.531)\tLoss 0.2900 (0.3011)\tPrec@1 89.453 (89.056)\n",
      "Epoch: [1][70/118]\tTime 0.522 (0.531)\tLoss 0.4003 (0.3022)\tPrec@1 85.156 (89.051)\n",
      "Epoch: [1][80/118]\tTime 0.525 (0.531)\tLoss 0.2484 (0.3027)\tPrec@1 89.062 (89.038)\n",
      "Epoch: [1][90/118]\tTime 0.510 (0.530)\tLoss 0.2200 (0.2982)\tPrec@1 92.578 (89.273)\n",
      "Epoch: [1][100/118]\tTime 0.536 (0.532)\tLoss 0.3158 (0.2958)\tPrec@1 87.109 (89.264)\n",
      "Epoch: [1][110/118]\tTime 0.560 (0.532)\tLoss 0.3562 (0.2931)\tPrec@1 87.500 (89.274)\n",
      "Test: [0/157]\tTime 0.335 (0.335)\tLoss 0.6976 (0.6976)\tPrec@1 79.297 (79.297)\n",
      "Test: [10/157]\tTime 0.184 (0.180)\tLoss 0.6785 (0.6257)\tPrec@1 79.297 (80.717)\n",
      "Test: [20/157]\tTime 0.169 (0.167)\tLoss 0.6020 (0.5959)\tPrec@1 82.812 (81.566)\n",
      "Test: [30/157]\tTime 0.151 (0.164)\tLoss 0.5638 (0.5815)\tPrec@1 83.203 (81.968)\n",
      "Test: [40/157]\tTime 0.147 (0.161)\tLoss 0.5588 (0.5962)\tPrec@1 81.641 (81.450)\n",
      "Test: [50/157]\tTime 0.173 (0.160)\tLoss 0.4977 (0.5962)\tPrec@1 82.422 (81.495)\n",
      "Test: [60/157]\tTime 0.149 (0.160)\tLoss 0.6042 (0.5883)\tPrec@1 81.641 (81.609)\n",
      "Test: [70/157]\tTime 0.176 (0.159)\tLoss 0.5586 (0.5889)\tPrec@1 82.812 (81.509)\n",
      "Test: [80/157]\tTime 0.146 (0.158)\tLoss 0.5323 (0.5899)\tPrec@1 83.984 (81.554)\n",
      "Test: [90/157]\tTime 0.169 (0.158)\tLoss 0.6012 (0.5876)\tPrec@1 81.250 (81.555)\n",
      "Test: [100/157]\tTime 0.163 (0.158)\tLoss 0.5402 (0.5893)\tPrec@1 82.812 (81.378)\n",
      "Test: [110/157]\tTime 0.153 (0.157)\tLoss 0.5817 (0.5868)\tPrec@1 81.250 (81.468)\n",
      "Test: [120/157]\tTime 0.165 (0.158)\tLoss 0.6036 (0.5893)\tPrec@1 79.688 (81.418)\n",
      "Test: [130/157]\tTime 0.153 (0.157)\tLoss 0.5974 (0.5922)\tPrec@1 81.641 (81.363)\n",
      "Test: [140/157]\tTime 0.149 (0.157)\tLoss 0.5769 (0.5904)\tPrec@1 80.859 (81.377)\n",
      "Test: [150/157]\tTime 0.160 (0.157)\tLoss 0.5942 (0.5891)\tPrec@1 81.641 (81.413)\n",
      " * Prec@1 81.415\n",
      "Epoch: [2][0/118]\tTime 0.264 (0.264)\tLoss 0.3250 (0.3250)\tPrec@1 90.234 (90.234)\n",
      "Epoch: [2][10/118]\tTime 0.509 (0.493)\tLoss 0.3072 (0.2502)\tPrec@1 90.234 (91.619)\n",
      "Epoch: [2][20/118]\tTime 0.542 (0.517)\tLoss 0.2364 (0.2312)\tPrec@1 92.188 (91.853)\n",
      "Epoch: [2][30/118]\tTime 0.539 (0.525)\tLoss 0.1668 (0.2344)\tPrec@1 93.750 (91.469)\n",
      "Epoch: [2][40/118]\tTime 0.561 (0.530)\tLoss 0.2153 (0.2316)\tPrec@1 92.578 (91.597)\n",
      "Epoch: [2][50/118]\tTime 0.527 (0.531)\tLoss 0.2406 (0.2266)\tPrec@1 91.406 (91.828)\n",
      "Epoch: [2][60/118]\tTime 0.572 (0.536)\tLoss 0.2181 (0.2299)\tPrec@1 92.578 (91.771)\n",
      "Epoch: [2][70/118]\tTime 0.522 (0.539)\tLoss 0.1327 (0.2274)\tPrec@1 94.141 (91.863)\n",
      "Epoch: [2][80/118]\tTime 0.538 (0.537)\tLoss 0.3020 (0.2298)\tPrec@1 89.844 (91.744)\n",
      "Epoch: [2][90/118]\tTime 0.529 (0.538)\tLoss 0.3891 (0.2310)\tPrec@1 87.500 (91.642)\n",
      "Epoch: [2][100/118]\tTime 0.531 (0.538)\tLoss 0.2733 (0.2332)\tPrec@1 89.062 (91.584)\n",
      "Epoch: [2][110/118]\tTime 0.570 (0.538)\tLoss 0.1709 (0.2324)\tPrec@1 92.969 (91.561)\n",
      "Test: [0/157]\tTime 0.363 (0.363)\tLoss 0.4898 (0.4898)\tPrec@1 82.812 (82.812)\n",
      "Test: [10/157]\tTime 0.175 (0.178)\tLoss 0.3490 (0.4446)\tPrec@1 86.328 (85.156)\n",
      "Test: [20/157]\tTime 0.159 (0.166)\tLoss 0.3956 (0.4202)\tPrec@1 87.500 (85.807)\n",
      "Test: [30/157]\tTime 0.158 (0.164)\tLoss 0.3577 (0.4144)\tPrec@1 88.281 (86.278)\n",
      "Test: [40/157]\tTime 0.211 (0.163)\tLoss 0.4931 (0.4126)\tPrec@1 84.766 (86.385)\n",
      "Test: [50/157]\tTime 0.165 (0.165)\tLoss 0.3507 (0.4107)\tPrec@1 88.672 (86.566)\n",
      "Test: [60/157]\tTime 0.145 (0.166)\tLoss 0.6245 (0.4248)\tPrec@1 84.766 (86.290)\n",
      "Test: [70/157]\tTime 0.163 (0.165)\tLoss 0.4421 (0.4192)\tPrec@1 84.375 (86.356)\n",
      "Test: [80/157]\tTime 0.159 (0.165)\tLoss 0.3932 (0.4173)\tPrec@1 87.109 (86.352)\n",
      "Test: [90/157]\tTime 0.173 (0.164)\tLoss 0.5565 (0.4215)\tPrec@1 83.203 (86.225)\n",
      "Test: [100/157]\tTime 0.160 (0.164)\tLoss 0.4222 (0.4235)\tPrec@1 85.547 (86.200)\n",
      "Test: [110/157]\tTime 0.152 (0.163)\tLoss 0.3769 (0.4234)\tPrec@1 86.719 (86.198)\n",
      "Test: [120/157]\tTime 0.152 (0.162)\tLoss 0.3479 (0.4229)\tPrec@1 88.672 (86.218)\n",
      "Test: [130/157]\tTime 0.164 (0.162)\tLoss 0.4048 (0.4233)\tPrec@1 85.938 (86.218)\n",
      "Test: [140/157]\tTime 0.182 (0.163)\tLoss 0.2719 (0.4246)\tPrec@1 89.453 (86.143)\n",
      "Test: [150/157]\tTime 0.191 (0.164)\tLoss 0.4032 (0.4241)\tPrec@1 83.203 (86.144)\n",
      " * Prec@1 86.073\n",
      "Epoch: [3][0/118]\tTime 0.271 (0.271)\tLoss 0.2500 (0.2500)\tPrec@1 91.016 (91.016)\n",
      "Epoch: [3][10/118]\tTime 0.561 (0.556)\tLoss 0.2222 (0.2139)\tPrec@1 91.406 (92.045)\n",
      "Epoch: [3][20/118]\tTime 0.521 (0.561)\tLoss 0.1394 (0.2064)\tPrec@1 95.703 (92.225)\n",
      "Epoch: [3][30/118]\tTime 0.562 (0.555)\tLoss 0.1830 (0.2040)\tPrec@1 92.969 (92.364)\n",
      "Epoch: [3][40/118]\tTime 0.521 (0.554)\tLoss 0.1825 (0.2043)\tPrec@1 93.359 (92.397)\n",
      "Epoch: [3][50/118]\tTime 0.526 (0.552)\tLoss 0.2813 (0.2051)\tPrec@1 90.234 (92.264)\n",
      "Epoch: [3][60/118]\tTime 0.534 (0.553)\tLoss 0.1463 (0.1982)\tPrec@1 94.531 (92.617)\n",
      "Epoch: [3][70/118]\tTime 0.550 (0.558)\tLoss 0.2369 (0.1947)\tPrec@1 92.578 (92.820)\n",
      "Epoch: [3][80/118]\tTime 0.590 (0.558)\tLoss 0.2068 (0.1949)\tPrec@1 92.969 (92.805)\n",
      "Epoch: [3][90/118]\tTime 0.636 (0.561)\tLoss 0.1942 (0.1950)\tPrec@1 89.453 (92.758)\n",
      "Epoch: [3][100/118]\tTime 0.606 (0.562)\tLoss 0.1606 (0.1951)\tPrec@1 93.750 (92.783)\n",
      "Epoch: [3][110/118]\tTime 0.628 (0.563)\tLoss 0.2334 (0.1946)\tPrec@1 91.016 (92.796)\n",
      "Test: [0/157]\tTime 0.359 (0.359)\tLoss 0.3416 (0.3416)\tPrec@1 86.328 (86.328)\n",
      "Test: [10/157]\tTime 0.154 (0.175)\tLoss 0.4510 (0.4193)\tPrec@1 84.375 (85.192)\n",
      "Test: [20/157]\tTime 0.149 (0.168)\tLoss 0.4430 (0.4036)\tPrec@1 85.938 (85.751)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [30/157]\tTime 0.154 (0.167)\tLoss 0.4104 (0.3903)\tPrec@1 85.156 (86.139)\n",
      "Test: [40/157]\tTime 0.174 (0.166)\tLoss 0.3540 (0.3900)\tPrec@1 87.109 (86.242)\n",
      "Test: [50/157]\tTime 0.144 (0.167)\tLoss 0.3539 (0.3828)\tPrec@1 89.844 (86.535)\n",
      "Test: [60/157]\tTime 0.175 (0.165)\tLoss 0.3880 (0.3842)\tPrec@1 85.938 (86.591)\n",
      "Test: [70/157]\tTime 0.155 (0.164)\tLoss 0.3152 (0.3791)\tPrec@1 88.672 (86.730)\n",
      "Test: [80/157]\tTime 0.154 (0.166)\tLoss 0.4106 (0.3823)\tPrec@1 85.547 (86.608)\n",
      "Test: [90/157]\tTime 0.152 (0.165)\tLoss 0.4087 (0.3831)\tPrec@1 85.156 (86.538)\n",
      "Test: [100/157]\tTime 0.178 (0.166)\tLoss 0.4376 (0.3867)\tPrec@1 80.469 (86.463)\n",
      "Test: [110/157]\tTime 0.169 (0.167)\tLoss 0.4370 (0.3870)\tPrec@1 83.594 (86.423)\n",
      "Test: [120/157]\tTime 0.159 (0.168)\tLoss 0.4085 (0.3873)\tPrec@1 87.500 (86.399)\n",
      "Test: [130/157]\tTime 0.155 (0.167)\tLoss 0.3649 (0.3850)\tPrec@1 87.500 (86.462)\n",
      "Test: [140/157]\tTime 0.147 (0.167)\tLoss 0.4325 (0.3855)\tPrec@1 86.719 (86.458)\n",
      "Test: [150/157]\tTime 0.152 (0.166)\tLoss 0.5412 (0.3872)\tPrec@1 83.203 (86.388)\n",
      " * Prec@1 86.390\n",
      "Epoch: [4][0/118]\tTime 0.260 (0.260)\tLoss 0.2565 (0.2565)\tPrec@1 91.016 (91.016)\n",
      "Epoch: [4][10/118]\tTime 0.550 (0.544)\tLoss 0.1706 (0.1778)\tPrec@1 92.188 (93.430)\n",
      "Epoch: [4][20/118]\tTime 0.583 (0.547)\tLoss 0.1520 (0.1685)\tPrec@1 94.141 (93.917)\n",
      "Epoch: [4][30/118]\tTime 0.569 (0.560)\tLoss 0.2091 (0.1701)\tPrec@1 91.797 (93.851)\n",
      "Epoch: [4][40/118]\tTime 0.543 (0.566)\tLoss 0.1268 (0.1671)\tPrec@1 94.922 (93.836)\n",
      "Epoch: [4][50/118]\tTime 0.581 (0.569)\tLoss 0.1832 (0.1723)\tPrec@1 92.969 (93.727)\n",
      "Epoch: [4][60/118]\tTime 0.559 (0.566)\tLoss 0.1778 (0.1735)\tPrec@1 92.578 (93.673)\n",
      "Epoch: [4][70/118]\tTime 0.558 (0.566)\tLoss 0.3060 (0.1742)\tPrec@1 90.234 (93.612)\n",
      "Epoch: [4][80/118]\tTime 0.549 (0.568)\tLoss 0.1688 (0.1733)\tPrec@1 93.750 (93.586)\n",
      "Epoch: [4][90/118]\tTime 0.534 (0.570)\tLoss 0.1478 (0.1744)\tPrec@1 95.312 (93.626)\n",
      "Epoch: [4][100/118]\tTime 0.569 (0.571)\tLoss 0.2146 (0.1756)\tPrec@1 91.797 (93.603)\n",
      "Epoch: [4][110/118]\tTime 0.607 (0.572)\tLoss 0.2365 (0.1748)\tPrec@1 90.234 (93.609)\n",
      "Test: [0/157]\tTime 0.298 (0.298)\tLoss 0.9269 (0.9269)\tPrec@1 75.391 (75.391)\n",
      "Test: [10/157]\tTime 0.280 (0.232)\tLoss 0.6678 (0.9147)\tPrec@1 82.422 (79.155)\n",
      "Test: [20/157]\tTime 0.158 (0.224)\tLoss 0.7202 (0.9228)\tPrec@1 82.812 (79.111)\n",
      "Test: [30/157]\tTime 0.190 (0.206)\tLoss 0.8536 (0.9095)\tPrec@1 78.125 (79.347)\n",
      "Test: [40/157]\tTime 0.150 (0.194)\tLoss 0.8561 (0.9164)\tPrec@1 78.516 (78.944)\n",
      "Test: [50/157]\tTime 0.152 (0.188)\tLoss 1.0576 (0.9172)\tPrec@1 76.562 (78.906)\n",
      "Test: [60/157]\tTime 0.155 (0.184)\tLoss 1.0022 (0.9183)\tPrec@1 76.562 (78.874)\n",
      "Test: [70/157]\tTime 0.203 (0.181)\tLoss 0.8744 (0.9131)\tPrec@1 77.734 (78.807)\n",
      "Test: [80/157]\tTime 0.152 (0.179)\tLoss 0.9342 (0.9200)\tPrec@1 77.734 (78.684)\n",
      "Test: [90/157]\tTime 0.171 (0.178)\tLoss 0.8886 (0.9209)\tPrec@1 79.297 (78.619)\n",
      "Test: [100/157]\tTime 0.165 (0.177)\tLoss 1.0704 (0.9231)\tPrec@1 76.562 (78.620)\n",
      "Test: [110/157]\tTime 0.150 (0.176)\tLoss 1.2255 (0.9246)\tPrec@1 72.266 (78.597)\n",
      "Test: [120/157]\tTime 0.145 (0.174)\tLoss 1.0054 (0.9255)\tPrec@1 76.953 (78.593)\n",
      "Test: [130/157]\tTime 0.156 (0.172)\tLoss 1.0397 (0.9243)\tPrec@1 78.125 (78.629)\n",
      "Test: [140/157]\tTime 0.157 (0.171)\tLoss 0.9692 (0.9255)\tPrec@1 79.297 (78.657)\n",
      "Test: [150/157]\tTime 0.158 (0.170)\tLoss 0.9340 (0.9214)\tPrec@1 77.734 (78.746)\n",
      " * Prec@1 78.765\n",
      "Epoch: [5][0/118]\tTime 0.275 (0.275)\tLoss 0.2273 (0.2273)\tPrec@1 92.578 (92.578)\n",
      "Epoch: [5][10/118]\tTime 0.537 (0.530)\tLoss 0.2379 (0.1890)\tPrec@1 89.844 (92.791)\n",
      "Epoch: [5][20/118]\tTime 0.622 (0.555)\tLoss 0.1337 (0.1704)\tPrec@1 93.750 (93.378)\n",
      "Epoch: [5][30/118]\tTime 0.514 (0.554)\tLoss 0.0852 (0.1674)\tPrec@1 96.484 (93.586)\n",
      "Epoch: [5][40/118]\tTime 0.537 (0.555)\tLoss 0.1276 (0.1600)\tPrec@1 94.922 (93.912)\n",
      "Epoch: [5][50/118]\tTime 0.549 (0.558)\tLoss 0.1118 (0.1529)\tPrec@1 96.094 (94.240)\n",
      "Epoch: [5][60/118]\tTime 0.573 (0.558)\tLoss 0.1245 (0.1531)\tPrec@1 94.531 (94.192)\n",
      "Epoch: [5][70/118]\tTime 0.533 (0.560)\tLoss 0.1556 (0.1535)\tPrec@1 93.750 (94.262)\n",
      "Epoch: [5][80/118]\tTime 0.552 (0.559)\tLoss 0.1319 (0.1540)\tPrec@1 95.703 (94.227)\n",
      "Epoch: [5][90/118]\tTime 0.575 (0.560)\tLoss 0.1313 (0.1546)\tPrec@1 94.922 (94.196)\n",
      "Epoch: [5][100/118]\tTime 0.600 (0.561)\tLoss 0.1407 (0.1553)\tPrec@1 94.141 (94.168)\n",
      "Epoch: [5][110/118]\tTime 0.556 (0.560)\tLoss 0.1412 (0.1551)\tPrec@1 95.312 (94.232)\n",
      "Test: [0/157]\tTime 0.294 (0.294)\tLoss 0.2735 (0.2735)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.154 (0.168)\tLoss 0.3562 (0.3461)\tPrec@1 86.719 (87.500)\n",
      "Test: [20/157]\tTime 0.148 (0.163)\tLoss 0.2804 (0.3425)\tPrec@1 88.672 (87.426)\n",
      "Test: [30/157]\tTime 0.182 (0.161)\tLoss 0.3761 (0.3472)\tPrec@1 87.500 (87.109)\n",
      "Test: [40/157]\tTime 0.153 (0.162)\tLoss 0.2889 (0.3437)\tPrec@1 91.406 (87.395)\n",
      "Test: [50/157]\tTime 0.151 (0.162)\tLoss 0.2746 (0.3385)\tPrec@1 91.406 (87.592)\n",
      "Test: [60/157]\tTime 0.150 (0.161)\tLoss 0.4172 (0.3428)\tPrec@1 85.547 (87.417)\n",
      "Test: [70/157]\tTime 0.152 (0.160)\tLoss 0.3311 (0.3428)\tPrec@1 87.891 (87.395)\n",
      "Test: [80/157]\tTime 0.154 (0.160)\tLoss 0.4917 (0.3457)\tPrec@1 83.594 (87.370)\n",
      "Test: [90/157]\tTime 0.162 (0.162)\tLoss 0.2941 (0.3457)\tPrec@1 89.844 (87.423)\n",
      "Test: [100/157]\tTime 0.157 (0.162)\tLoss 0.3898 (0.3482)\tPrec@1 87.891 (87.438)\n",
      "Test: [110/157]\tTime 0.183 (0.161)\tLoss 0.2429 (0.3481)\tPrec@1 90.625 (87.447)\n",
      "Test: [120/157]\tTime 0.155 (0.161)\tLoss 0.3393 (0.3482)\tPrec@1 87.891 (87.468)\n",
      "Test: [130/157]\tTime 0.160 (0.161)\tLoss 0.4923 (0.3510)\tPrec@1 84.375 (87.384)\n",
      "Test: [140/157]\tTime 0.180 (0.162)\tLoss 0.3168 (0.3501)\tPrec@1 89.844 (87.420)\n",
      "Test: [150/157]\tTime 0.156 (0.163)\tLoss 0.2909 (0.3498)\tPrec@1 88.281 (87.461)\n",
      " * Prec@1 87.438\n",
      "Epoch: [6][0/118]\tTime 0.265 (0.265)\tLoss 0.1366 (0.1366)\tPrec@1 94.922 (94.922)\n",
      "Epoch: [6][10/118]\tTime 0.573 (0.521)\tLoss 0.1038 (0.1034)\tPrec@1 96.484 (96.271)\n",
      "Epoch: [6][20/118]\tTime 0.580 (0.539)\tLoss 0.1409 (0.1141)\tPrec@1 95.703 (96.075)\n",
      "Epoch: [6][30/118]\tTime 0.549 (0.541)\tLoss 0.1070 (0.1084)\tPrec@1 96.484 (96.308)\n",
      "Epoch: [6][40/118]\tTime 0.577 (0.546)\tLoss 0.0606 (0.1064)\tPrec@1 98.047 (96.380)\n",
      "Epoch: [6][50/118]\tTime 0.566 (0.551)\tLoss 0.1649 (0.1099)\tPrec@1 93.750 (96.155)\n",
      "Epoch: [6][60/118]\tTime 0.579 (0.552)\tLoss 0.1441 (0.1130)\tPrec@1 93.359 (96.004)\n",
      "Epoch: [6][70/118]\tTime 0.581 (0.554)\tLoss 0.1137 (0.1159)\tPrec@1 96.094 (95.901)\n",
      "Epoch: [6][80/118]\tTime 0.548 (0.554)\tLoss 0.0738 (0.1167)\tPrec@1 96.875 (95.872)\n",
      "Epoch: [6][90/118]\tTime 0.565 (0.555)\tLoss 0.1304 (0.1190)\tPrec@1 95.703 (95.772)\n",
      "Epoch: [6][100/118]\tTime 0.588 (0.555)\tLoss 0.1338 (0.1202)\tPrec@1 95.703 (95.699)\n",
      "Epoch: [6][110/118]\tTime 0.625 (0.556)\tLoss 0.1739 (0.1224)\tPrec@1 93.359 (95.629)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.3174 (0.3174)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.163 (0.168)\tLoss 0.3140 (0.2813)\tPrec@1 91.016 (90.803)\n",
      "Test: [20/157]\tTime 0.185 (0.168)\tLoss 0.2708 (0.2952)\tPrec@1 91.016 (90.644)\n",
      "Test: [30/157]\tTime 0.149 (0.164)\tLoss 0.3378 (0.2934)\tPrec@1 89.453 (90.562)\n",
      "Test: [40/157]\tTime 0.152 (0.163)\tLoss 0.3927 (0.2862)\tPrec@1 87.500 (90.654)\n",
      "Test: [50/157]\tTime 0.158 (0.162)\tLoss 0.2946 (0.2845)\tPrec@1 88.672 (90.556)\n",
      "Test: [60/157]\tTime 0.153 (0.161)\tLoss 0.2565 (0.2881)\tPrec@1 89.844 (90.350)\n",
      "Test: [70/157]\tTime 0.148 (0.160)\tLoss 0.2576 (0.2896)\tPrec@1 89.062 (90.207)\n",
      "Test: [80/157]\tTime 0.209 (0.161)\tLoss 0.3207 (0.2887)\tPrec@1 90.625 (90.278)\n",
      "Test: [90/157]\tTime 0.157 (0.160)\tLoss 0.3043 (0.2902)\tPrec@1 89.062 (90.286)\n",
      "Test: [100/157]\tTime 0.158 (0.160)\tLoss 0.3581 (0.2930)\tPrec@1 89.844 (90.203)\n",
      "Test: [110/157]\tTime 0.162 (0.161)\tLoss 0.3946 (0.2946)\tPrec@1 87.500 (90.185)\n",
      "Test: [120/157]\tTime 0.145 (0.160)\tLoss 0.2319 (0.2976)\tPrec@1 90.234 (90.086)\n",
      "Test: [130/157]\tTime 0.166 (0.160)\tLoss 0.3119 (0.2967)\tPrec@1 91.406 (90.127)\n",
      "Test: [140/157]\tTime 0.152 (0.160)\tLoss 0.4349 (0.2976)\tPrec@1 85.547 (90.079)\n",
      "Test: [150/157]\tTime 0.191 (0.161)\tLoss 0.3091 (0.2982)\tPrec@1 89.844 (90.022)\n",
      " * Prec@1 90.022\n",
      "Epoch: [7][0/118]\tTime 0.252 (0.252)\tLoss 0.1179 (0.1179)\tPrec@1 95.703 (95.703)\n",
      "Epoch: [7][10/118]\tTime 0.594 (0.521)\tLoss 0.1726 (0.1298)\tPrec@1 93.750 (95.490)\n",
      "Epoch: [7][20/118]\tTime 0.574 (0.533)\tLoss 0.1132 (0.1213)\tPrec@1 94.531 (95.480)\n",
      "Epoch: [7][30/118]\tTime 0.595 (0.545)\tLoss 0.0727 (0.1105)\tPrec@1 97.266 (95.943)\n",
      "Epoch: [7][40/118]\tTime 0.559 (0.552)\tLoss 0.1029 (0.1085)\tPrec@1 96.484 (96.065)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [7][50/118]\tTime 0.518 (0.554)\tLoss 0.0813 (0.1064)\tPrec@1 96.875 (96.124)\n",
      "Epoch: [7][60/118]\tTime 0.528 (0.552)\tLoss 0.0954 (0.1059)\tPrec@1 96.484 (96.100)\n",
      "Epoch: [7][70/118]\tTime 0.543 (0.555)\tLoss 0.1612 (0.1090)\tPrec@1 94.922 (96.000)\n",
      "Epoch: [7][80/118]\tTime 0.568 (0.554)\tLoss 0.1273 (0.1122)\tPrec@1 95.703 (95.857)\n",
      "Epoch: [7][90/118]\tTime 0.557 (0.555)\tLoss 0.1745 (0.1164)\tPrec@1 94.922 (95.725)\n",
      "Epoch: [7][100/118]\tTime 0.641 (0.557)\tLoss 0.1242 (0.1171)\tPrec@1 96.875 (95.711)\n",
      "Epoch: [7][110/118]\tTime 0.553 (0.558)\tLoss 0.0745 (0.1162)\tPrec@1 98.438 (95.784)\n",
      "Test: [0/157]\tTime 0.337 (0.337)\tLoss 0.4208 (0.4208)\tPrec@1 84.375 (84.375)\n",
      "Test: [10/157]\tTime 0.145 (0.184)\tLoss 0.4661 (0.4713)\tPrec@1 84.766 (85.121)\n",
      "Test: [20/157]\tTime 0.156 (0.171)\tLoss 0.5280 (0.4760)\tPrec@1 83.984 (85.249)\n",
      "Test: [30/157]\tTime 0.162 (0.165)\tLoss 0.5260 (0.4779)\tPrec@1 83.984 (85.244)\n",
      "Test: [40/157]\tTime 0.185 (0.164)\tLoss 0.4471 (0.4896)\tPrec@1 86.719 (84.985)\n",
      "Test: [50/157]\tTime 0.193 (0.163)\tLoss 0.5717 (0.4914)\tPrec@1 82.812 (84.804)\n",
      "Test: [60/157]\tTime 0.166 (0.162)\tLoss 0.5935 (0.4875)\tPrec@1 82.422 (84.836)\n",
      "Test: [70/157]\tTime 0.148 (0.162)\tLoss 0.5552 (0.4846)\tPrec@1 82.812 (84.887)\n",
      "Test: [80/157]\tTime 0.151 (0.161)\tLoss 0.5202 (0.4878)\tPrec@1 84.375 (84.756)\n",
      "Test: [90/157]\tTime 0.151 (0.161)\tLoss 0.4153 (0.4916)\tPrec@1 87.109 (84.611)\n",
      "Test: [100/157]\tTime 0.163 (0.160)\tLoss 0.5573 (0.4929)\tPrec@1 84.766 (84.592)\n",
      "Test: [110/157]\tTime 0.148 (0.159)\tLoss 0.4163 (0.4942)\tPrec@1 87.500 (84.530)\n",
      "Test: [120/157]\tTime 0.164 (0.160)\tLoss 0.4904 (0.4953)\tPrec@1 82.812 (84.507)\n",
      "Test: [130/157]\tTime 0.155 (0.160)\tLoss 0.4027 (0.4935)\tPrec@1 86.719 (84.581)\n",
      "Test: [140/157]\tTime 0.148 (0.160)\tLoss 0.5836 (0.4924)\tPrec@1 82.812 (84.577)\n",
      "Test: [150/157]\tTime 0.155 (0.160)\tLoss 0.5076 (0.4901)\tPrec@1 83.594 (84.603)\n",
      " * Prec@1 84.590\n",
      "Epoch: [8][0/118]\tTime 0.259 (0.259)\tLoss 0.1691 (0.1691)\tPrec@1 92.969 (92.969)\n",
      "Epoch: [8][10/118]\tTime 0.576 (0.523)\tLoss 0.0831 (0.1095)\tPrec@1 96.094 (96.200)\n",
      "Epoch: [8][20/118]\tTime 0.573 (0.551)\tLoss 0.0815 (0.1020)\tPrec@1 96.484 (96.429)\n",
      "Epoch: [8][30/118]\tTime 0.571 (0.556)\tLoss 0.0669 (0.0963)\tPrec@1 97.656 (96.585)\n",
      "Epoch: [8][40/118]\tTime 0.556 (0.563)\tLoss 0.0685 (0.0926)\tPrec@1 96.875 (96.713)\n",
      "Epoch: [8][50/118]\tTime 0.568 (0.566)\tLoss 0.0740 (0.0913)\tPrec@1 97.266 (96.760)\n",
      "Epoch: [8][60/118]\tTime 0.606 (0.564)\tLoss 0.1363 (0.0909)\tPrec@1 96.484 (96.785)\n",
      "Epoch: [8][70/118]\tTime 0.570 (0.563)\tLoss 0.1016 (0.0910)\tPrec@1 96.875 (96.798)\n",
      "Epoch: [8][80/118]\tTime 0.634 (0.568)\tLoss 0.1149 (0.0940)\tPrec@1 96.094 (96.668)\n",
      "Epoch: [8][90/118]\tTime 0.548 (0.568)\tLoss 0.1337 (0.0966)\tPrec@1 95.312 (96.570)\n",
      "Epoch: [8][100/118]\tTime 0.624 (0.568)\tLoss 0.1133 (0.0969)\tPrec@1 95.703 (96.535)\n",
      "Epoch: [8][110/118]\tTime 0.553 (0.567)\tLoss 0.1297 (0.0991)\tPrec@1 95.703 (96.470)\n",
      "Test: [0/157]\tTime 0.307 (0.307)\tLoss 0.3070 (0.3070)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.182 (0.176)\tLoss 0.1885 (0.2473)\tPrec@1 94.531 (91.761)\n",
      "Test: [20/157]\tTime 0.148 (0.169)\tLoss 0.2616 (0.2555)\tPrec@1 92.969 (91.574)\n",
      "Test: [30/157]\tTime 0.153 (0.166)\tLoss 0.2884 (0.2514)\tPrec@1 91.406 (91.557)\n",
      "Test: [40/157]\tTime 0.175 (0.168)\tLoss 0.2247 (0.2521)\tPrec@1 91.016 (91.463)\n",
      "Test: [50/157]\tTime 0.171 (0.166)\tLoss 0.2641 (0.2535)\tPrec@1 91.797 (91.491)\n",
      "Test: [60/157]\tTime 0.195 (0.165)\tLoss 0.3609 (0.2589)\tPrec@1 89.844 (91.387)\n",
      "Test: [70/157]\tTime 0.154 (0.164)\tLoss 0.2778 (0.2625)\tPrec@1 89.062 (91.230)\n",
      "Test: [80/157]\tTime 0.179 (0.164)\tLoss 0.1844 (0.2610)\tPrec@1 93.750 (91.262)\n",
      "Test: [90/157]\tTime 0.183 (0.163)\tLoss 0.3027 (0.2613)\tPrec@1 89.453 (91.286)\n",
      "Test: [100/157]\tTime 0.164 (0.162)\tLoss 0.2744 (0.2603)\tPrec@1 87.891 (91.321)\n",
      "Test: [110/157]\tTime 0.152 (0.162)\tLoss 0.3001 (0.2622)\tPrec@1 89.062 (91.251)\n",
      "Test: [120/157]\tTime 0.150 (0.162)\tLoss 0.3996 (0.2636)\tPrec@1 86.719 (91.225)\n",
      "Test: [130/157]\tTime 0.157 (0.162)\tLoss 0.2974 (0.2621)\tPrec@1 90.234 (91.272)\n",
      "Test: [140/157]\tTime 0.151 (0.162)\tLoss 0.2870 (0.2632)\tPrec@1 90.625 (91.234)\n",
      "Test: [150/157]\tTime 0.149 (0.162)\tLoss 0.2115 (0.2639)\tPrec@1 92.188 (91.194)\n",
      " * Prec@1 91.142\n",
      "Epoch: [9][0/118]\tTime 0.298 (0.298)\tLoss 0.0657 (0.0657)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [9][10/118]\tTime 0.513 (0.533)\tLoss 0.0999 (0.0881)\tPrec@1 95.703 (97.124)\n",
      "Epoch: [9][20/118]\tTime 0.597 (0.540)\tLoss 0.0751 (0.0869)\tPrec@1 97.656 (97.061)\n",
      "Epoch: [9][30/118]\tTime 0.612 (0.549)\tLoss 0.0628 (0.0819)\tPrec@1 98.438 (97.366)\n",
      "Epoch: [9][40/118]\tTime 0.576 (0.552)\tLoss 0.0528 (0.0798)\tPrec@1 98.438 (97.351)\n",
      "Epoch: [9][50/118]\tTime 0.576 (0.553)\tLoss 0.1117 (0.0820)\tPrec@1 96.875 (97.281)\n",
      "Epoch: [9][60/118]\tTime 0.559 (0.555)\tLoss 0.1017 (0.0815)\tPrec@1 95.703 (97.214)\n",
      "Epoch: [9][70/118]\tTime 0.587 (0.554)\tLoss 0.0715 (0.0818)\tPrec@1 98.047 (97.183)\n",
      "Epoch: [9][80/118]\tTime 0.570 (0.554)\tLoss 0.1001 (0.0830)\tPrec@1 97.266 (97.169)\n",
      "Epoch: [9][90/118]\tTime 0.636 (0.556)\tLoss 0.0822 (0.0838)\tPrec@1 97.266 (97.124)\n",
      "Epoch: [9][100/118]\tTime 0.562 (0.555)\tLoss 0.0521 (0.0850)\tPrec@1 98.438 (97.076)\n",
      "Epoch: [9][110/118]\tTime 0.626 (0.557)\tLoss 0.1133 (0.0856)\tPrec@1 95.312 (97.037)\n",
      "Test: [0/157]\tTime 0.304 (0.304)\tLoss 0.8325 (0.8325)\tPrec@1 80.078 (80.078)\n",
      "Test: [10/157]\tTime 0.167 (0.169)\tLoss 0.7997 (0.7663)\tPrec@1 77.734 (79.190)\n",
      "Test: [20/157]\tTime 0.150 (0.163)\tLoss 0.6116 (0.7571)\tPrec@1 81.250 (79.464)\n",
      "Test: [30/157]\tTime 0.157 (0.162)\tLoss 0.6060 (0.7266)\tPrec@1 83.203 (80.229)\n",
      "Test: [40/157]\tTime 0.143 (0.161)\tLoss 0.8733 (0.7281)\tPrec@1 79.688 (80.173)\n",
      "Test: [50/157]\tTime 0.162 (0.162)\tLoss 0.8303 (0.7190)\tPrec@1 78.125 (80.316)\n",
      "Test: [60/157]\tTime 0.143 (0.161)\tLoss 0.8012 (0.7278)\tPrec@1 78.125 (80.110)\n",
      "Test: [70/157]\tTime 0.163 (0.159)\tLoss 0.7841 (0.7351)\tPrec@1 79.297 (79.891)\n",
      "Test: [80/157]\tTime 0.156 (0.160)\tLoss 0.8086 (0.7315)\tPrec@1 79.297 (80.006)\n",
      "Test: [90/157]\tTime 0.158 (0.159)\tLoss 0.7747 (0.7297)\tPrec@1 79.688 (80.112)\n",
      "Test: [100/157]\tTime 0.157 (0.160)\tLoss 0.7845 (0.7296)\tPrec@1 78.516 (80.101)\n",
      "Test: [110/157]\tTime 0.167 (0.160)\tLoss 0.8158 (0.7310)\tPrec@1 77.734 (80.039)\n",
      "Test: [120/157]\tTime 0.161 (0.161)\tLoss 0.8673 (0.7301)\tPrec@1 76.953 (79.991)\n",
      "Test: [130/157]\tTime 0.151 (0.161)\tLoss 0.6984 (0.7264)\tPrec@1 79.297 (80.018)\n",
      "Test: [140/157]\tTime 0.151 (0.161)\tLoss 0.7702 (0.7291)\tPrec@1 81.250 (80.017)\n",
      "Test: [150/157]\tTime 0.150 (0.161)\tLoss 0.5984 (0.7232)\tPrec@1 82.031 (80.140)\n",
      " * Prec@1 80.170\n",
      "Epoch: [10][0/118]\tTime 0.263 (0.263)\tLoss 0.1151 (0.1151)\tPrec@1 96.094 (96.094)\n",
      "Epoch: [10][10/118]\tTime 0.558 (0.527)\tLoss 0.1089 (0.0998)\tPrec@1 96.484 (96.733)\n",
      "Epoch: [10][20/118]\tTime 0.548 (0.538)\tLoss 0.0306 (0.0933)\tPrec@1 99.609 (97.024)\n",
      "Epoch: [10][30/118]\tTime 0.555 (0.546)\tLoss 0.0963 (0.0933)\tPrec@1 97.266 (96.938)\n",
      "Epoch: [10][40/118]\tTime 0.529 (0.547)\tLoss 0.0863 (0.0931)\tPrec@1 96.094 (96.770)\n",
      "Epoch: [10][50/118]\tTime 0.574 (0.560)\tLoss 0.1323 (0.0926)\tPrec@1 94.531 (96.752)\n",
      "Epoch: [10][60/118]\tTime 0.552 (0.558)\tLoss 0.0537 (0.0905)\tPrec@1 99.219 (96.843)\n",
      "Epoch: [10][70/118]\tTime 0.560 (0.558)\tLoss 0.1052 (0.0891)\tPrec@1 97.656 (96.858)\n",
      "Epoch: [10][80/118]\tTime 0.520 (0.559)\tLoss 0.1042 (0.0890)\tPrec@1 95.312 (96.793)\n",
      "Epoch: [10][90/118]\tTime 0.562 (0.559)\tLoss 0.0877 (0.0888)\tPrec@1 96.094 (96.772)\n",
      "Epoch: [10][100/118]\tTime 0.529 (0.559)\tLoss 0.0962 (0.0886)\tPrec@1 97.266 (96.786)\n",
      "Epoch: [10][110/118]\tTime 0.596 (0.560)\tLoss 0.0741 (0.0895)\tPrec@1 96.875 (96.798)\n",
      "Test: [0/157]\tTime 0.312 (0.312)\tLoss 0.3339 (0.3339)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.160 (0.177)\tLoss 0.3490 (0.3097)\tPrec@1 90.234 (90.518)\n",
      "Test: [20/157]\tTime 0.144 (0.172)\tLoss 0.3342 (0.3287)\tPrec@1 90.234 (90.086)\n",
      "Test: [30/157]\tTime 0.203 (0.168)\tLoss 0.2714 (0.3228)\tPrec@1 91.406 (90.297)\n",
      "Test: [40/157]\tTime 0.160 (0.169)\tLoss 0.3290 (0.3251)\tPrec@1 89.844 (90.034)\n",
      "Test: [50/157]\tTime 0.171 (0.168)\tLoss 0.2514 (0.3232)\tPrec@1 92.188 (90.119)\n",
      "Test: [60/157]\tTime 0.158 (0.168)\tLoss 0.4561 (0.3282)\tPrec@1 87.891 (89.946)\n",
      "Test: [70/157]\tTime 0.189 (0.168)\tLoss 0.2662 (0.3305)\tPrec@1 90.625 (89.882)\n",
      "Test: [80/157]\tTime 0.156 (0.167)\tLoss 0.3629 (0.3306)\tPrec@1 87.109 (89.882)\n",
      "Test: [90/157]\tTime 0.153 (0.166)\tLoss 0.2606 (0.3315)\tPrec@1 93.359 (89.874)\n",
      "Test: [100/157]\tTime 0.169 (0.166)\tLoss 0.2824 (0.3344)\tPrec@1 92.188 (89.832)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [110/157]\tTime 0.151 (0.165)\tLoss 0.3403 (0.3337)\tPrec@1 88.672 (89.875)\n",
      "Test: [120/157]\tTime 0.150 (0.165)\tLoss 0.2392 (0.3332)\tPrec@1 91.797 (89.908)\n",
      "Test: [130/157]\tTime 0.147 (0.164)\tLoss 0.3727 (0.3309)\tPrec@1 89.453 (89.957)\n",
      "Test: [140/157]\tTime 0.177 (0.164)\tLoss 0.2481 (0.3305)\tPrec@1 91.406 (89.946)\n",
      "Test: [150/157]\tTime 0.151 (0.164)\tLoss 0.2552 (0.3309)\tPrec@1 91.797 (89.939)\n",
      " * Prec@1 89.922\n",
      "Epoch: [11][0/118]\tTime 0.276 (0.276)\tLoss 0.0702 (0.0702)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [11][10/118]\tTime 0.559 (0.528)\tLoss 0.0896 (0.0576)\tPrec@1 98.438 (98.224)\n",
      "Epoch: [11][20/118]\tTime 0.578 (0.545)\tLoss 0.0353 (0.0541)\tPrec@1 99.219 (98.363)\n",
      "Epoch: [11][30/118]\tTime 0.617 (0.554)\tLoss 0.0429 (0.0498)\tPrec@1 98.828 (98.475)\n",
      "Epoch: [11][40/118]\tTime 0.544 (0.563)\tLoss 0.0334 (0.0506)\tPrec@1 98.828 (98.323)\n",
      "Epoch: [11][50/118]\tTime 0.514 (0.560)\tLoss 0.0765 (0.0509)\tPrec@1 97.656 (98.261)\n",
      "Epoch: [11][60/118]\tTime 0.516 (0.561)\tLoss 0.0649 (0.0529)\tPrec@1 98.438 (98.207)\n",
      "Epoch: [11][70/118]\tTime 0.583 (0.560)\tLoss 0.0364 (0.0552)\tPrec@1 99.219 (98.058)\n",
      "Epoch: [11][80/118]\tTime 0.619 (0.560)\tLoss 0.0861 (0.0574)\tPrec@1 97.266 (97.994)\n",
      "Epoch: [11][90/118]\tTime 0.541 (0.560)\tLoss 0.0741 (0.0603)\tPrec@1 98.047 (97.897)\n",
      "Epoch: [11][100/118]\tTime 0.530 (0.560)\tLoss 0.0635 (0.0607)\tPrec@1 98.047 (97.884)\n",
      "Epoch: [11][110/118]\tTime 0.526 (0.561)\tLoss 0.1511 (0.0645)\tPrec@1 93.750 (97.748)\n",
      "Test: [0/157]\tTime 0.312 (0.312)\tLoss 0.3545 (0.3545)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.169 (0.185)\tLoss 0.4468 (0.4198)\tPrec@1 87.109 (88.885)\n",
      "Test: [20/157]\tTime 0.182 (0.176)\tLoss 0.4334 (0.4059)\tPrec@1 87.891 (88.393)\n",
      "Test: [30/157]\tTime 0.143 (0.175)\tLoss 0.4081 (0.4116)\tPrec@1 88.281 (88.382)\n",
      "Test: [40/157]\tTime 0.157 (0.173)\tLoss 0.4722 (0.4120)\tPrec@1 88.281 (88.434)\n",
      "Test: [50/157]\tTime 0.163 (0.172)\tLoss 0.4992 (0.4098)\tPrec@1 87.500 (88.381)\n",
      "Test: [60/157]\tTime 0.154 (0.170)\tLoss 0.4077 (0.4021)\tPrec@1 88.672 (88.531)\n",
      "Test: [70/157]\tTime 0.150 (0.168)\tLoss 0.4452 (0.4052)\tPrec@1 86.719 (88.424)\n",
      "Test: [80/157]\tTime 0.149 (0.167)\tLoss 0.3228 (0.4036)\tPrec@1 91.406 (88.465)\n",
      "Test: [90/157]\tTime 0.162 (0.166)\tLoss 0.4978 (0.4052)\tPrec@1 87.109 (88.444)\n",
      "Test: [100/157]\tTime 0.144 (0.166)\tLoss 0.4907 (0.4076)\tPrec@1 87.500 (88.343)\n",
      "Test: [110/157]\tTime 0.146 (0.165)\tLoss 0.3119 (0.4089)\tPrec@1 89.844 (88.302)\n",
      "Test: [120/157]\tTime 0.173 (0.165)\tLoss 0.4844 (0.4098)\tPrec@1 87.891 (88.333)\n",
      "Test: [130/157]\tTime 0.153 (0.164)\tLoss 0.3665 (0.4057)\tPrec@1 91.016 (88.493)\n",
      "Test: [140/157]\tTime 0.158 (0.164)\tLoss 0.5138 (0.4048)\tPrec@1 84.766 (88.483)\n",
      "Test: [150/157]\tTime 0.157 (0.164)\tLoss 0.4611 (0.4065)\tPrec@1 87.500 (88.426)\n",
      " * Prec@1 88.442\n",
      "Epoch: [12][0/118]\tTime 0.266 (0.266)\tLoss 0.0473 (0.0473)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [12][10/118]\tTime 0.548 (0.544)\tLoss 0.0415 (0.0562)\tPrec@1 98.047 (98.153)\n",
      "Epoch: [12][20/118]\tTime 0.581 (0.551)\tLoss 0.0561 (0.0513)\tPrec@1 98.438 (98.233)\n",
      "Epoch: [12][30/118]\tTime 0.573 (0.559)\tLoss 0.0393 (0.0497)\tPrec@1 99.219 (98.299)\n",
      "Epoch: [12][40/118]\tTime 0.531 (0.562)\tLoss 0.0529 (0.0469)\tPrec@1 98.438 (98.380)\n",
      "Epoch: [12][50/118]\tTime 0.550 (0.564)\tLoss 0.0421 (0.0481)\tPrec@1 98.438 (98.307)\n",
      "Epoch: [12][60/118]\tTime 0.545 (0.562)\tLoss 0.0408 (0.0484)\tPrec@1 98.438 (98.335)\n",
      "Epoch: [12][70/118]\tTime 0.521 (0.563)\tLoss 0.0287 (0.0478)\tPrec@1 99.219 (98.355)\n",
      "Epoch: [12][80/118]\tTime 0.552 (0.564)\tLoss 0.0816 (0.0487)\tPrec@1 96.484 (98.317)\n",
      "Epoch: [12][90/118]\tTime 0.581 (0.565)\tLoss 0.0725 (0.0486)\tPrec@1 96.875 (98.304)\n",
      "Epoch: [12][100/118]\tTime 0.603 (0.565)\tLoss 0.0866 (0.0501)\tPrec@1 96.484 (98.244)\n",
      "Epoch: [12][110/118]\tTime 0.579 (0.564)\tLoss 0.1044 (0.0515)\tPrec@1 96.484 (98.184)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.3476 (0.3476)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.185 (0.174)\tLoss 0.2931 (0.4034)\tPrec@1 91.797 (89.169)\n",
      "Test: [20/157]\tTime 0.155 (0.166)\tLoss 0.3822 (0.3862)\tPrec@1 88.672 (89.509)\n",
      "Test: [30/157]\tTime 0.208 (0.168)\tLoss 0.3687 (0.3973)\tPrec@1 91.016 (89.327)\n",
      "Test: [40/157]\tTime 0.152 (0.165)\tLoss 0.2363 (0.3821)\tPrec@1 91.016 (89.691)\n",
      "Test: [50/157]\tTime 0.149 (0.163)\tLoss 0.4000 (0.3843)\tPrec@1 89.453 (89.675)\n",
      "Test: [60/157]\tTime 0.171 (0.163)\tLoss 0.4361 (0.3813)\tPrec@1 89.453 (89.735)\n",
      "Test: [70/157]\tTime 0.147 (0.163)\tLoss 0.4381 (0.3883)\tPrec@1 87.891 (89.640)\n",
      "Test: [80/157]\tTime 0.166 (0.162)\tLoss 0.2722 (0.3907)\tPrec@1 91.406 (89.530)\n",
      "Test: [90/157]\tTime 0.157 (0.165)\tLoss 0.4685 (0.3875)\tPrec@1 87.109 (89.505)\n",
      "Test: [100/157]\tTime 0.155 (0.165)\tLoss 0.3572 (0.3912)\tPrec@1 90.234 (89.414)\n",
      "Test: [110/157]\tTime 0.155 (0.166)\tLoss 0.5136 (0.3881)\tPrec@1 87.500 (89.425)\n",
      "Test: [120/157]\tTime 0.155 (0.166)\tLoss 0.3276 (0.3901)\tPrec@1 91.797 (89.450)\n",
      "Test: [130/157]\tTime 0.151 (0.165)\tLoss 0.2267 (0.3896)\tPrec@1 94.531 (89.471)\n",
      "Test: [140/157]\tTime 0.150 (0.165)\tLoss 0.3288 (0.3872)\tPrec@1 90.234 (89.525)\n",
      "Test: [150/157]\tTime 0.151 (0.164)\tLoss 0.5633 (0.3871)\tPrec@1 85.938 (89.531)\n",
      " * Prec@1 89.578\n",
      "Epoch: [13][0/118]\tTime 0.272 (0.272)\tLoss 0.0336 (0.0336)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [13][10/118]\tTime 0.597 (0.533)\tLoss 0.0743 (0.0587)\tPrec@1 97.656 (98.047)\n",
      "Epoch: [13][20/118]\tTime 0.551 (0.550)\tLoss 0.0554 (0.0557)\tPrec@1 97.656 (97.935)\n",
      "Epoch: [13][30/118]\tTime 0.528 (0.551)\tLoss 0.0658 (0.0563)\tPrec@1 98.047 (97.921)\n",
      "Epoch: [13][40/118]\tTime 0.524 (0.555)\tLoss 0.0753 (0.0572)\tPrec@1 97.656 (97.875)\n",
      "Epoch: [13][50/118]\tTime 0.573 (0.557)\tLoss 0.0668 (0.0563)\tPrec@1 97.656 (97.932)\n",
      "Epoch: [13][60/118]\tTime 0.545 (0.559)\tLoss 0.0394 (0.0566)\tPrec@1 98.828 (97.970)\n",
      "Epoch: [13][70/118]\tTime 0.548 (0.559)\tLoss 0.0430 (0.0578)\tPrec@1 98.438 (97.887)\n",
      "Epoch: [13][80/118]\tTime 0.532 (0.560)\tLoss 0.0465 (0.0569)\tPrec@1 98.828 (97.917)\n",
      "Epoch: [13][90/118]\tTime 0.531 (0.562)\tLoss 0.0523 (0.0580)\tPrec@1 98.047 (97.905)\n",
      "Epoch: [13][100/118]\tTime 0.605 (0.577)\tLoss 0.1018 (0.0584)\tPrec@1 96.875 (97.877)\n",
      "Epoch: [13][110/118]\tTime 0.571 (0.575)\tLoss 0.0356 (0.0588)\tPrec@1 99.609 (97.874)\n",
      "Test: [0/157]\tTime 0.339 (0.339)\tLoss 0.6145 (0.6145)\tPrec@1 86.719 (86.719)\n",
      "Test: [10/157]\tTime 0.155 (0.175)\tLoss 0.7432 (0.6447)\tPrec@1 81.250 (83.594)\n",
      "Test: [20/157]\tTime 0.156 (0.167)\tLoss 0.6829 (0.6076)\tPrec@1 82.812 (84.375)\n",
      "Test: [30/157]\tTime 0.146 (0.166)\tLoss 0.6277 (0.6002)\tPrec@1 83.594 (84.526)\n",
      "Test: [40/157]\tTime 0.152 (0.163)\tLoss 0.6721 (0.6060)\tPrec@1 80.469 (84.213)\n",
      "Test: [50/157]\tTime 0.150 (0.162)\tLoss 0.5673 (0.5984)\tPrec@1 85.156 (84.344)\n",
      "Test: [60/157]\tTime 0.196 (0.163)\tLoss 0.7986 (0.6016)\tPrec@1 79.688 (84.311)\n",
      "Test: [70/157]\tTime 0.150 (0.162)\tLoss 0.5982 (0.6001)\tPrec@1 83.984 (84.287)\n",
      "Test: [80/157]\tTime 0.145 (0.161)\tLoss 0.6182 (0.6084)\tPrec@1 82.422 (84.182)\n",
      "Test: [90/157]\tTime 0.152 (0.160)\tLoss 0.6498 (0.6084)\tPrec@1 83.594 (84.272)\n",
      "Test: [100/157]\tTime 0.144 (0.159)\tLoss 0.5998 (0.6101)\tPrec@1 85.547 (84.216)\n",
      "Test: [110/157]\tTime 0.157 (0.159)\tLoss 0.6373 (0.6112)\tPrec@1 83.984 (84.245)\n",
      "Test: [120/157]\tTime 0.160 (0.159)\tLoss 0.7803 (0.6158)\tPrec@1 82.422 (84.175)\n",
      "Test: [130/157]\tTime 0.153 (0.159)\tLoss 0.4287 (0.6179)\tPrec@1 86.719 (84.119)\n",
      "Test: [140/157]\tTime 0.145 (0.159)\tLoss 0.6443 (0.6189)\tPrec@1 83.984 (84.109)\n",
      "Test: [150/157]\tTime 0.185 (0.159)\tLoss 0.6159 (0.6210)\tPrec@1 84.766 (84.090)\n",
      " * Prec@1 84.118\n",
      "Epoch: [14][0/118]\tTime 0.261 (0.261)\tLoss 0.0929 (0.0929)\tPrec@1 96.875 (96.875)\n",
      "Epoch: [14][10/118]\tTime 0.520 (0.521)\tLoss 0.0835 (0.0995)\tPrec@1 96.094 (96.307)\n",
      "Epoch: [14][20/118]\tTime 0.561 (0.536)\tLoss 0.0760 (0.0897)\tPrec@1 96.094 (96.745)\n",
      "Epoch: [14][30/118]\tTime 0.613 (0.546)\tLoss 0.0412 (0.0837)\tPrec@1 98.438 (97.051)\n",
      "Epoch: [14][40/118]\tTime 0.580 (0.549)\tLoss 0.0682 (0.0776)\tPrec@1 98.047 (97.266)\n",
      "Epoch: [14][50/118]\tTime 0.549 (0.555)\tLoss 0.0530 (0.0723)\tPrec@1 97.656 (97.442)\n",
      "Epoch: [14][60/118]\tTime 0.611 (0.564)\tLoss 0.0370 (0.0692)\tPrec@1 98.438 (97.547)\n",
      "Epoch: [14][70/118]\tTime 0.527 (0.562)\tLoss 0.0573 (0.0683)\tPrec@1 98.047 (97.579)\n",
      "Epoch: [14][80/118]\tTime 0.572 (0.563)\tLoss 0.0297 (0.0683)\tPrec@1 99.609 (97.574)\n",
      "Epoch: [14][90/118]\tTime 0.559 (0.563)\tLoss 0.0784 (0.0668)\tPrec@1 98.047 (97.626)\n",
      "Epoch: [14][100/118]\tTime 0.522 (0.561)\tLoss 0.0891 (0.0654)\tPrec@1 97.266 (97.687)\n",
      "Epoch: [14][110/118]\tTime 0.600 (0.561)\tLoss 0.0482 (0.0636)\tPrec@1 98.047 (97.751)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [0/157]\tTime 0.319 (0.319)\tLoss 0.3610 (0.3610)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.177 (0.170)\tLoss 0.6071 (0.4066)\tPrec@1 83.984 (88.814)\n",
      "Test: [20/157]\tTime 0.160 (0.166)\tLoss 0.3364 (0.3982)\tPrec@1 90.625 (89.342)\n",
      "Test: [30/157]\tTime 0.151 (0.163)\tLoss 0.5425 (0.3931)\tPrec@1 87.109 (89.466)\n",
      "Test: [40/157]\tTime 0.185 (0.163)\tLoss 0.3714 (0.4015)\tPrec@1 91.016 (89.186)\n",
      "Test: [50/157]\tTime 0.158 (0.165)\tLoss 0.4438 (0.4068)\tPrec@1 89.062 (89.101)\n",
      "Test: [60/157]\tTime 0.157 (0.164)\tLoss 0.3299 (0.4086)\tPrec@1 90.625 (89.024)\n",
      "Test: [70/157]\tTime 0.158 (0.163)\tLoss 0.4606 (0.4037)\tPrec@1 86.719 (89.129)\n",
      "Test: [80/157]\tTime 0.177 (0.164)\tLoss 0.2979 (0.4025)\tPrec@1 90.234 (89.207)\n",
      "Test: [90/157]\tTime 0.151 (0.163)\tLoss 0.3584 (0.3964)\tPrec@1 91.406 (89.303)\n",
      "Test: [100/157]\tTime 0.154 (0.163)\tLoss 0.3881 (0.3954)\tPrec@1 88.672 (89.345)\n",
      "Test: [110/157]\tTime 0.156 (0.162)\tLoss 0.5295 (0.3981)\tPrec@1 84.766 (89.267)\n",
      "Test: [120/157]\tTime 0.155 (0.163)\tLoss 0.3833 (0.3975)\tPrec@1 89.062 (89.292)\n",
      "Test: [130/157]\tTime 0.171 (0.163)\tLoss 0.3735 (0.3985)\tPrec@1 89.453 (89.292)\n",
      "Test: [140/157]\tTime 0.176 (0.163)\tLoss 0.3294 (0.4009)\tPrec@1 89.453 (89.276)\n",
      "Test: [150/157]\tTime 0.151 (0.162)\tLoss 0.3990 (0.4040)\tPrec@1 88.281 (89.197)\n",
      " * Prec@1 89.177\n",
      "Epoch: [15][0/118]\tTime 0.270 (0.270)\tLoss 0.0933 (0.0933)\tPrec@1 97.266 (97.266)\n",
      "Epoch: [15][10/118]\tTime 0.563 (0.545)\tLoss 0.0810 (0.0461)\tPrec@1 98.047 (98.580)\n",
      "Epoch: [15][20/118]\tTime 0.530 (0.553)\tLoss 0.0479 (0.0409)\tPrec@1 98.438 (98.698)\n",
      "Epoch: [15][30/118]\tTime 0.617 (0.559)\tLoss 0.0258 (0.0396)\tPrec@1 99.219 (98.715)\n",
      "Epoch: [15][40/118]\tTime 0.544 (0.559)\tLoss 0.0392 (0.0377)\tPrec@1 98.438 (98.800)\n",
      "Epoch: [15][50/118]\tTime 0.546 (0.564)\tLoss 0.0682 (0.0381)\tPrec@1 97.656 (98.759)\n",
      "Epoch: [15][60/118]\tTime 0.523 (0.565)\tLoss 0.0304 (0.0386)\tPrec@1 99.219 (98.751)\n",
      "Epoch: [15][70/118]\tTime 0.539 (0.564)\tLoss 0.0164 (0.0388)\tPrec@1 99.609 (98.718)\n",
      "Epoch: [15][80/118]\tTime 0.579 (0.565)\tLoss 0.0362 (0.0389)\tPrec@1 98.828 (98.732)\n",
      "Epoch: [15][90/118]\tTime 0.554 (0.565)\tLoss 0.0661 (0.0391)\tPrec@1 98.047 (98.725)\n",
      "Epoch: [15][100/118]\tTime 0.607 (0.566)\tLoss 0.0863 (0.0407)\tPrec@1 96.875 (98.646)\n",
      "Epoch: [15][110/118]\tTime 0.615 (0.568)\tLoss 0.0761 (0.0429)\tPrec@1 97.656 (98.575)\n",
      "Test: [0/157]\tTime 0.298 (0.298)\tLoss 0.4827 (0.4827)\tPrec@1 85.938 (85.938)\n",
      "Test: [10/157]\tTime 0.148 (0.176)\tLoss 0.5287 (0.4662)\tPrec@1 83.984 (87.038)\n",
      "Test: [20/157]\tTime 0.177 (0.170)\tLoss 0.4603 (0.4609)\tPrec@1 86.719 (86.756)\n",
      "Test: [30/157]\tTime 0.163 (0.168)\tLoss 0.4236 (0.4499)\tPrec@1 87.891 (86.845)\n",
      "Test: [40/157]\tTime 0.166 (0.167)\tLoss 0.4225 (0.4378)\tPrec@1 90.234 (87.224)\n",
      "Test: [50/157]\tTime 0.180 (0.167)\tLoss 0.4224 (0.4419)\tPrec@1 87.109 (87.178)\n",
      "Test: [60/157]\tTime 0.151 (0.167)\tLoss 0.4377 (0.4404)\tPrec@1 89.062 (87.295)\n",
      "Test: [70/157]\tTime 0.152 (0.166)\tLoss 0.4509 (0.4422)\tPrec@1 88.672 (87.307)\n",
      "Test: [80/157]\tTime 0.153 (0.165)\tLoss 0.5260 (0.4443)\tPrec@1 85.547 (87.264)\n",
      "Test: [90/157]\tTime 0.152 (0.166)\tLoss 0.5247 (0.4494)\tPrec@1 87.500 (87.169)\n",
      "Test: [100/157]\tTime 0.150 (0.165)\tLoss 0.5862 (0.4518)\tPrec@1 82.422 (87.106)\n",
      "Test: [110/157]\tTime 0.157 (0.164)\tLoss 0.4302 (0.4538)\tPrec@1 88.672 (87.120)\n",
      "Test: [120/157]\tTime 0.197 (0.166)\tLoss 0.4015 (0.4521)\tPrec@1 89.453 (87.164)\n",
      "Test: [130/157]\tTime 0.154 (0.166)\tLoss 0.4173 (0.4534)\tPrec@1 85.938 (87.118)\n",
      "Test: [140/157]\tTime 0.154 (0.165)\tLoss 0.4954 (0.4564)\tPrec@1 87.109 (87.065)\n",
      "Test: [150/157]\tTime 0.156 (0.165)\tLoss 0.4836 (0.4591)\tPrec@1 85.938 (86.975)\n",
      " * Prec@1 86.950\n",
      "Epoch: [16][0/118]\tTime 0.276 (0.276)\tLoss 0.0703 (0.0703)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [16][10/118]\tTime 0.537 (0.517)\tLoss 0.0194 (0.0451)\tPrec@1 99.219 (98.438)\n",
      "Epoch: [16][20/118]\tTime 0.567 (0.549)\tLoss 0.0420 (0.0415)\tPrec@1 99.219 (98.531)\n",
      "Epoch: [16][30/118]\tTime 0.574 (0.553)\tLoss 0.0221 (0.0398)\tPrec@1 99.609 (98.677)\n",
      "Epoch: [16][40/118]\tTime 0.575 (0.555)\tLoss 0.0319 (0.0374)\tPrec@1 99.219 (98.761)\n",
      "Epoch: [16][50/118]\tTime 0.532 (0.554)\tLoss 0.0226 (0.0357)\tPrec@1 98.828 (98.820)\n",
      "Epoch: [16][60/118]\tTime 0.559 (0.556)\tLoss 0.0329 (0.0353)\tPrec@1 98.828 (98.835)\n",
      "Epoch: [16][70/118]\tTime 0.558 (0.556)\tLoss 0.0621 (0.0363)\tPrec@1 98.047 (98.823)\n",
      "Epoch: [16][80/118]\tTime 0.570 (0.555)\tLoss 0.0440 (0.0379)\tPrec@1 98.047 (98.746)\n",
      "Epoch: [16][90/118]\tTime 0.530 (0.557)\tLoss 0.0413 (0.0395)\tPrec@1 98.438 (98.678)\n",
      "Epoch: [16][100/118]\tTime 0.544 (0.556)\tLoss 0.0480 (0.0401)\tPrec@1 98.438 (98.662)\n",
      "Epoch: [16][110/118]\tTime 0.541 (0.556)\tLoss 0.0457 (0.0415)\tPrec@1 98.047 (98.592)\n",
      "Test: [0/157]\tTime 0.295 (0.295)\tLoss 0.5001 (0.5001)\tPrec@1 85.156 (85.156)\n",
      "Test: [10/157]\tTime 0.155 (0.180)\tLoss 0.6085 (0.4630)\tPrec@1 83.984 (86.506)\n",
      "Test: [20/157]\tTime 0.154 (0.175)\tLoss 0.3469 (0.4697)\tPrec@1 89.062 (86.384)\n",
      "Test: [30/157]\tTime 0.168 (0.171)\tLoss 0.4606 (0.4685)\tPrec@1 86.328 (86.278)\n",
      "Test: [40/157]\tTime 0.156 (0.169)\tLoss 0.4032 (0.4600)\tPrec@1 88.672 (86.585)\n",
      "Test: [50/157]\tTime 0.155 (0.167)\tLoss 0.4362 (0.4652)\tPrec@1 88.672 (86.397)\n",
      "Test: [60/157]\tTime 0.150 (0.166)\tLoss 0.4794 (0.4659)\tPrec@1 84.766 (86.315)\n",
      "Test: [70/157]\tTime 0.180 (0.167)\tLoss 0.3954 (0.4667)\tPrec@1 85.938 (86.394)\n",
      "Test: [80/157]\tTime 0.164 (0.166)\tLoss 0.4954 (0.4642)\tPrec@1 86.719 (86.497)\n",
      "Test: [90/157]\tTime 0.154 (0.165)\tLoss 0.5059 (0.4643)\tPrec@1 85.938 (86.521)\n",
      "Test: [100/157]\tTime 0.159 (0.164)\tLoss 0.3618 (0.4666)\tPrec@1 89.062 (86.463)\n",
      "Test: [110/157]\tTime 0.191 (0.165)\tLoss 0.5551 (0.4704)\tPrec@1 83.203 (86.314)\n",
      "Test: [120/157]\tTime 0.166 (0.164)\tLoss 0.3097 (0.4673)\tPrec@1 90.625 (86.354)\n",
      "Test: [130/157]\tTime 0.185 (0.164)\tLoss 0.4825 (0.4643)\tPrec@1 88.281 (86.462)\n",
      "Test: [140/157]\tTime 0.163 (0.164)\tLoss 0.6547 (0.4629)\tPrec@1 81.250 (86.528)\n",
      "Test: [150/157]\tTime 0.178 (0.164)\tLoss 0.4743 (0.4651)\tPrec@1 85.156 (86.509)\n",
      " * Prec@1 86.448\n",
      "Epoch: [17][0/118]\tTime 0.305 (0.305)\tLoss 0.0703 (0.0703)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [17][10/118]\tTime 0.538 (0.545)\tLoss 0.0621 (0.0679)\tPrec@1 97.266 (97.550)\n",
      "Epoch: [17][20/118]\tTime 0.584 (0.558)\tLoss 0.0593 (0.0543)\tPrec@1 97.266 (98.047)\n",
      "Epoch: [17][30/118]\tTime 0.568 (0.556)\tLoss 0.0250 (0.0489)\tPrec@1 100.000 (98.299)\n",
      "Epoch: [17][40/118]\tTime 0.573 (0.559)\tLoss 0.0375 (0.0473)\tPrec@1 99.219 (98.352)\n",
      "Epoch: [17][50/118]\tTime 0.569 (0.562)\tLoss 0.0671 (0.0468)\tPrec@1 97.656 (98.392)\n",
      "Epoch: [17][60/118]\tTime 0.622 (0.562)\tLoss 0.0618 (0.0466)\tPrec@1 96.875 (98.367)\n",
      "Epoch: [17][70/118]\tTime 0.550 (0.565)\tLoss 0.0529 (0.0467)\tPrec@1 98.047 (98.377)\n",
      "Epoch: [17][80/118]\tTime 0.533 (0.565)\tLoss 0.0636 (0.0463)\tPrec@1 96.875 (98.380)\n",
      "Epoch: [17][90/118]\tTime 0.542 (0.568)\tLoss 0.0603 (0.0472)\tPrec@1 98.047 (98.377)\n",
      "Epoch: [17][100/118]\tTime 0.533 (0.567)\tLoss 0.0381 (0.0475)\tPrec@1 98.828 (98.360)\n",
      "Epoch: [17][110/118]\tTime 0.753 (0.570)\tLoss 0.0583 (0.0488)\tPrec@1 97.656 (98.307)\n",
      "Test: [0/157]\tTime 0.294 (0.294)\tLoss 0.5494 (0.5494)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.148 (0.166)\tLoss 0.2771 (0.3914)\tPrec@1 92.578 (90.554)\n",
      "Test: [20/157]\tTime 0.150 (0.162)\tLoss 0.4554 (0.4037)\tPrec@1 89.453 (90.086)\n",
      "Test: [30/157]\tTime 0.181 (0.163)\tLoss 0.3695 (0.4005)\tPrec@1 89.453 (90.108)\n",
      "Test: [40/157]\tTime 0.161 (0.162)\tLoss 0.3978 (0.4019)\tPrec@1 91.406 (89.987)\n",
      "Test: [50/157]\tTime 0.170 (0.161)\tLoss 0.5048 (0.4071)\tPrec@1 88.281 (89.905)\n",
      "Test: [60/157]\tTime 0.147 (0.162)\tLoss 0.4280 (0.4059)\tPrec@1 87.109 (89.837)\n",
      "Test: [70/157]\tTime 0.196 (0.162)\tLoss 0.6011 (0.4094)\tPrec@1 87.500 (89.893)\n",
      "Test: [80/157]\tTime 0.182 (0.161)\tLoss 0.7064 (0.4127)\tPrec@1 86.328 (89.820)\n",
      "Test: [90/157]\tTime 0.156 (0.160)\tLoss 0.5004 (0.4180)\tPrec@1 89.453 (89.706)\n",
      "Test: [100/157]\tTime 0.161 (0.161)\tLoss 0.5233 (0.4152)\tPrec@1 87.500 (89.712)\n",
      "Test: [110/157]\tTime 0.151 (0.161)\tLoss 0.5638 (0.4209)\tPrec@1 89.453 (89.629)\n",
      "Test: [120/157]\tTime 0.191 (0.161)\tLoss 0.3339 (0.4199)\tPrec@1 91.406 (89.673)\n",
      "Test: [130/157]\tTime 0.151 (0.160)\tLoss 0.3670 (0.4180)\tPrec@1 90.234 (89.641)\n",
      "Test: [140/157]\tTime 0.151 (0.160)\tLoss 0.4357 (0.4176)\tPrec@1 88.672 (89.647)\n",
      "Test: [150/157]\tTime 0.154 (0.160)\tLoss 0.5139 (0.4149)\tPrec@1 85.938 (89.670)\n",
      " * Prec@1 89.675\n",
      "Epoch: [18][0/118]\tTime 0.322 (0.322)\tLoss 0.0474 (0.0474)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [18][10/118]\tTime 0.514 (0.533)\tLoss 0.0266 (0.0412)\tPrec@1 99.609 (98.544)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [18][20/118]\tTime 0.540 (0.546)\tLoss 0.0325 (0.0396)\tPrec@1 99.219 (98.717)\n",
      "Epoch: [18][30/118]\tTime 0.543 (0.548)\tLoss 0.0655 (0.0413)\tPrec@1 96.875 (98.664)\n",
      "Epoch: [18][40/118]\tTime 0.560 (0.556)\tLoss 0.0227 (0.0413)\tPrec@1 99.219 (98.590)\n",
      "Epoch: [18][50/118]\tTime 0.572 (0.560)\tLoss 0.0500 (0.0409)\tPrec@1 98.047 (98.591)\n",
      "Epoch: [18][60/118]\tTime 0.539 (0.559)\tLoss 0.0652 (0.0430)\tPrec@1 97.656 (98.489)\n",
      "Epoch: [18][70/118]\tTime 0.584 (0.560)\tLoss 0.0408 (0.0425)\tPrec@1 98.828 (98.520)\n",
      "Epoch: [18][80/118]\tTime 0.561 (0.560)\tLoss 0.0274 (0.0424)\tPrec@1 98.828 (98.539)\n",
      "Epoch: [18][90/118]\tTime 0.531 (0.559)\tLoss 0.0304 (0.0429)\tPrec@1 99.219 (98.519)\n",
      "Epoch: [18][100/118]\tTime 0.573 (0.559)\tLoss 0.0228 (0.0426)\tPrec@1 99.609 (98.538)\n",
      "Epoch: [18][110/118]\tTime 0.521 (0.559)\tLoss 0.0582 (0.0439)\tPrec@1 98.438 (98.476)\n",
      "Test: [0/157]\tTime 0.338 (0.338)\tLoss 0.4444 (0.4444)\tPrec@1 86.719 (86.719)\n",
      "Test: [10/157]\tTime 0.181 (0.182)\tLoss 0.5316 (0.4321)\tPrec@1 87.500 (87.997)\n",
      "Test: [20/157]\tTime 0.150 (0.176)\tLoss 0.5331 (0.4248)\tPrec@1 85.547 (88.170)\n",
      "Test: [30/157]\tTime 0.151 (0.171)\tLoss 0.3543 (0.4050)\tPrec@1 90.234 (88.483)\n",
      "Test: [40/157]\tTime 0.151 (0.169)\tLoss 0.4842 (0.4159)\tPrec@1 88.281 (88.700)\n",
      "Test: [50/157]\tTime 0.159 (0.168)\tLoss 0.2505 (0.4047)\tPrec@1 91.797 (88.863)\n",
      "Test: [60/157]\tTime 0.147 (0.166)\tLoss 0.3911 (0.4076)\tPrec@1 90.625 (88.832)\n",
      "Test: [70/157]\tTime 0.144 (0.165)\tLoss 0.4720 (0.4059)\tPrec@1 87.500 (88.842)\n",
      "Test: [80/157]\tTime 0.153 (0.166)\tLoss 0.4651 (0.4083)\tPrec@1 87.891 (88.797)\n",
      "Test: [90/157]\tTime 0.155 (0.166)\tLoss 0.3666 (0.4054)\tPrec@1 89.453 (88.895)\n",
      "Test: [100/157]\tTime 0.163 (0.166)\tLoss 0.4259 (0.4073)\tPrec@1 88.672 (88.861)\n",
      "Test: [110/157]\tTime 0.185 (0.166)\tLoss 0.4505 (0.4082)\tPrec@1 90.234 (88.851)\n",
      "Test: [120/157]\tTime 0.148 (0.166)\tLoss 0.2871 (0.4065)\tPrec@1 90.234 (88.862)\n",
      "Test: [130/157]\tTime 0.167 (0.165)\tLoss 0.4369 (0.4039)\tPrec@1 88.672 (88.901)\n",
      "Test: [140/157]\tTime 0.146 (0.165)\tLoss 0.4609 (0.4067)\tPrec@1 86.328 (88.877)\n",
      "Test: [150/157]\tTime 0.147 (0.164)\tLoss 0.5278 (0.4066)\tPrec@1 85.547 (88.845)\n",
      " * Prec@1 88.840\n",
      "Epoch: [19][0/118]\tTime 0.263 (0.263)\tLoss 0.0300 (0.0300)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [19][10/118]\tTime 0.534 (0.533)\tLoss 0.0538 (0.0451)\tPrec@1 98.828 (98.509)\n",
      "Epoch: [19][20/118]\tTime 0.557 (0.552)\tLoss 0.0678 (0.0400)\tPrec@1 96.484 (98.717)\n",
      "Epoch: [19][30/118]\tTime 0.544 (0.556)\tLoss 0.0234 (0.0408)\tPrec@1 99.219 (98.690)\n",
      "Epoch: [19][40/118]\tTime 0.541 (0.559)\tLoss 0.0223 (0.0380)\tPrec@1 99.219 (98.780)\n",
      "Epoch: [19][50/118]\tTime 0.539 (0.559)\tLoss 0.0405 (0.0379)\tPrec@1 98.047 (98.744)\n",
      "Epoch: [19][60/118]\tTime 0.543 (0.558)\tLoss 0.0431 (0.0381)\tPrec@1 98.438 (98.751)\n",
      "Epoch: [19][70/118]\tTime 0.532 (0.558)\tLoss 0.0583 (0.0389)\tPrec@1 97.266 (98.707)\n",
      "Epoch: [19][80/118]\tTime 0.570 (0.557)\tLoss 0.0385 (0.0392)\tPrec@1 98.438 (98.688)\n",
      "Epoch: [19][90/118]\tTime 0.567 (0.560)\tLoss 0.0863 (0.0413)\tPrec@1 97.656 (98.626)\n",
      "Epoch: [19][100/118]\tTime 0.615 (0.561)\tLoss 0.0476 (0.0409)\tPrec@1 98.828 (98.642)\n",
      "Epoch: [19][110/118]\tTime 0.516 (0.560)\tLoss 0.0328 (0.0420)\tPrec@1 98.828 (98.620)\n",
      "Test: [0/157]\tTime 0.315 (0.315)\tLoss 0.3509 (0.3509)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.160 (0.178)\tLoss 0.5554 (0.4498)\tPrec@1 85.156 (88.956)\n",
      "Test: [20/157]\tTime 0.157 (0.170)\tLoss 0.3800 (0.4414)\tPrec@1 89.062 (88.932)\n",
      "Test: [30/157]\tTime 0.162 (0.172)\tLoss 0.3666 (0.4329)\tPrec@1 90.234 (89.050)\n",
      "Test: [40/157]\tTime 0.167 (0.167)\tLoss 0.3172 (0.4390)\tPrec@1 90.625 (88.958)\n",
      "Test: [50/157]\tTime 0.152 (0.167)\tLoss 0.3990 (0.4255)\tPrec@1 91.406 (89.231)\n",
      "Test: [60/157]\tTime 0.150 (0.168)\tLoss 0.4397 (0.4293)\tPrec@1 90.234 (89.146)\n",
      "Test: [70/157]\tTime 0.169 (0.167)\tLoss 0.3160 (0.4277)\tPrec@1 91.406 (89.123)\n",
      "Test: [80/157]\tTime 0.152 (0.166)\tLoss 0.4684 (0.4354)\tPrec@1 87.891 (89.005)\n",
      "Test: [90/157]\tTime 0.165 (0.166)\tLoss 0.4962 (0.4303)\tPrec@1 86.719 (89.067)\n",
      "Test: [100/157]\tTime 0.147 (0.165)\tLoss 0.4279 (0.4334)\tPrec@1 90.234 (89.008)\n",
      "Test: [110/157]\tTime 0.153 (0.165)\tLoss 0.4119 (0.4377)\tPrec@1 91.406 (88.925)\n",
      "Test: [120/157]\tTime 0.156 (0.164)\tLoss 0.3882 (0.4341)\tPrec@1 88.672 (88.924)\n",
      "Test: [130/157]\tTime 0.157 (0.164)\tLoss 0.5197 (0.4355)\tPrec@1 89.062 (88.922)\n",
      "Test: [140/157]\tTime 0.154 (0.164)\tLoss 0.4742 (0.4398)\tPrec@1 88.281 (88.888)\n",
      "Test: [150/157]\tTime 0.157 (0.163)\tLoss 0.3353 (0.4377)\tPrec@1 91.406 (88.931)\n",
      " * Prec@1 88.897\n",
      "Epoch: [20][0/118]\tTime 0.279 (0.279)\tLoss 0.0393 (0.0393)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [20][10/118]\tTime 0.552 (0.538)\tLoss 0.0279 (0.0391)\tPrec@1 99.219 (98.580)\n",
      "Epoch: [20][20/118]\tTime 0.546 (0.548)\tLoss 0.0471 (0.0365)\tPrec@1 98.438 (98.754)\n",
      "Epoch: [20][30/118]\tTime 0.557 (0.551)\tLoss 0.0264 (0.0354)\tPrec@1 98.828 (98.841)\n",
      "Epoch: [20][40/118]\tTime 0.573 (0.554)\tLoss 0.0327 (0.0352)\tPrec@1 98.828 (98.866)\n",
      "Epoch: [20][50/118]\tTime 0.613 (0.557)\tLoss 0.0296 (0.0338)\tPrec@1 98.438 (98.897)\n",
      "Epoch: [20][60/118]\tTime 0.557 (0.561)\tLoss 0.0409 (0.0324)\tPrec@1 98.828 (98.943)\n",
      "Epoch: [20][70/118]\tTime 0.522 (0.561)\tLoss 0.0238 (0.0323)\tPrec@1 99.609 (98.938)\n",
      "Epoch: [20][80/118]\tTime 0.528 (0.561)\tLoss 0.0336 (0.0329)\tPrec@1 99.219 (98.929)\n",
      "Epoch: [20][90/118]\tTime 0.531 (0.560)\tLoss 0.0619 (0.0342)\tPrec@1 98.047 (98.905)\n",
      "Epoch: [20][100/118]\tTime 0.569 (0.560)\tLoss 0.0313 (0.0351)\tPrec@1 98.438 (98.886)\n",
      "Epoch: [20][110/118]\tTime 0.554 (0.559)\tLoss 0.0396 (0.0363)\tPrec@1 98.828 (98.821)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.5061 (0.5061)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.192 (0.181)\tLoss 0.6366 (0.6382)\tPrec@1 85.938 (85.618)\n",
      "Test: [20/157]\tTime 0.154 (0.170)\tLoss 0.3312 (0.5980)\tPrec@1 90.625 (86.347)\n",
      "Test: [30/157]\tTime 0.155 (0.169)\tLoss 0.6842 (0.5778)\tPrec@1 84.766 (86.429)\n",
      "Test: [40/157]\tTime 0.145 (0.166)\tLoss 0.6666 (0.5667)\tPrec@1 86.719 (86.633)\n",
      "Test: [50/157]\tTime 0.180 (0.166)\tLoss 0.5143 (0.5676)\tPrec@1 86.719 (86.619)\n",
      "Test: [60/157]\tTime 0.166 (0.164)\tLoss 0.6173 (0.5699)\tPrec@1 86.328 (86.584)\n",
      "Test: [70/157]\tTime 0.178 (0.164)\tLoss 0.7805 (0.5738)\tPrec@1 83.984 (86.515)\n",
      "Test: [80/157]\tTime 0.168 (0.165)\tLoss 0.4517 (0.5752)\tPrec@1 89.453 (86.473)\n",
      "Test: [90/157]\tTime 0.169 (0.164)\tLoss 0.7509 (0.5826)\tPrec@1 83.594 (86.350)\n",
      "Test: [100/157]\tTime 0.151 (0.164)\tLoss 0.7335 (0.5787)\tPrec@1 83.203 (86.402)\n",
      "Test: [110/157]\tTime 0.151 (0.163)\tLoss 0.6433 (0.5800)\tPrec@1 85.938 (86.353)\n",
      "Test: [120/157]\tTime 0.176 (0.163)\tLoss 0.6178 (0.5811)\tPrec@1 87.500 (86.335)\n",
      "Test: [130/157]\tTime 0.168 (0.162)\tLoss 0.5770 (0.5773)\tPrec@1 86.328 (86.430)\n",
      "Test: [140/157]\tTime 0.163 (0.162)\tLoss 0.6441 (0.5758)\tPrec@1 87.500 (86.461)\n",
      "Test: [150/157]\tTime 0.151 (0.162)\tLoss 0.6399 (0.5764)\tPrec@1 86.328 (86.491)\n",
      " * Prec@1 86.505\n",
      "Epoch: [21][0/118]\tTime 0.270 (0.270)\tLoss 0.0493 (0.0493)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [21][10/118]\tTime 0.689 (0.546)\tLoss 0.0830 (0.0607)\tPrec@1 97.656 (98.011)\n",
      "Epoch: [21][20/118]\tTime 0.554 (0.557)\tLoss 0.0704 (0.0624)\tPrec@1 97.656 (98.028)\n",
      "Epoch: [21][30/118]\tTime 0.555 (0.553)\tLoss 0.0625 (0.0549)\tPrec@1 98.438 (98.173)\n",
      "Epoch: [21][40/118]\tTime 0.613 (0.557)\tLoss 0.0332 (0.0518)\tPrec@1 99.219 (98.276)\n",
      "Epoch: [21][50/118]\tTime 0.555 (0.558)\tLoss 0.0354 (0.0508)\tPrec@1 99.219 (98.307)\n",
      "Epoch: [21][60/118]\tTime 0.526 (0.573)\tLoss 0.0208 (0.0486)\tPrec@1 99.219 (98.393)\n",
      "Epoch: [21][70/118]\tTime 0.524 (0.569)\tLoss 0.0845 (0.0496)\tPrec@1 97.266 (98.366)\n",
      "Epoch: [21][80/118]\tTime 0.543 (0.568)\tLoss 0.0569 (0.0484)\tPrec@1 97.656 (98.413)\n",
      "Epoch: [21][90/118]\tTime 0.549 (0.570)\tLoss 0.0203 (0.0474)\tPrec@1 99.219 (98.442)\n",
      "Epoch: [21][100/118]\tTime 0.582 (0.570)\tLoss 0.0446 (0.0464)\tPrec@1 98.438 (98.480)\n",
      "Epoch: [21][110/118]\tTime 0.538 (0.568)\tLoss 0.0663 (0.0457)\tPrec@1 98.047 (98.508)\n",
      "Test: [0/157]\tTime 0.346 (0.346)\tLoss 0.8528 (0.8528)\tPrec@1 79.688 (79.688)\n",
      "Test: [10/157]\tTime 0.149 (0.176)\tLoss 0.7821 (0.6760)\tPrec@1 82.422 (83.168)\n",
      "Test: [20/157]\tTime 0.154 (0.170)\tLoss 0.4911 (0.6317)\tPrec@1 87.500 (84.059)\n",
      "Test: [30/157]\tTime 0.153 (0.166)\tLoss 0.6721 (0.6161)\tPrec@1 82.031 (84.312)\n",
      "Test: [40/157]\tTime 0.149 (0.166)\tLoss 0.7612 (0.6229)\tPrec@1 82.031 (84.051)\n",
      "Test: [50/157]\tTime 0.145 (0.166)\tLoss 0.6623 (0.6249)\tPrec@1 83.203 (84.053)\n",
      "Test: [60/157]\tTime 0.161 (0.167)\tLoss 0.4966 (0.6188)\tPrec@1 88.672 (84.253)\n",
      "Test: [70/157]\tTime 0.158 (0.167)\tLoss 0.8773 (0.6235)\tPrec@1 79.688 (84.237)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [80/157]\tTime 0.154 (0.166)\tLoss 0.6476 (0.6190)\tPrec@1 82.812 (84.201)\n",
      "Test: [90/157]\tTime 0.158 (0.166)\tLoss 0.4593 (0.6126)\tPrec@1 87.109 (84.422)\n",
      "Test: [100/157]\tTime 0.150 (0.164)\tLoss 0.7624 (0.6162)\tPrec@1 79.688 (84.352)\n",
      "Test: [110/157]\tTime 0.178 (0.165)\tLoss 0.5292 (0.6162)\tPrec@1 85.547 (84.354)\n",
      "Test: [120/157]\tTime 0.143 (0.165)\tLoss 0.5878 (0.6124)\tPrec@1 86.719 (84.440)\n",
      "Test: [130/157]\tTime 0.155 (0.165)\tLoss 0.5746 (0.6112)\tPrec@1 81.641 (84.461)\n",
      "Test: [140/157]\tTime 0.163 (0.164)\tLoss 0.4851 (0.6108)\tPrec@1 85.938 (84.428)\n",
      "Test: [150/157]\tTime 0.179 (0.164)\tLoss 0.6748 (0.6105)\tPrec@1 83.984 (84.409)\n",
      " * Prec@1 84.420\n",
      "Epoch: [22][0/118]\tTime 0.316 (0.316)\tLoss 0.0496 (0.0496)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [22][10/118]\tTime 0.522 (0.531)\tLoss 0.1268 (0.0620)\tPrec@1 95.703 (97.905)\n",
      "Epoch: [22][20/118]\tTime 0.556 (0.541)\tLoss 0.0353 (0.0570)\tPrec@1 98.828 (98.010)\n",
      "Epoch: [22][30/118]\tTime 0.588 (0.552)\tLoss 0.0446 (0.0563)\tPrec@1 98.047 (98.022)\n",
      "Epoch: [22][40/118]\tTime 0.591 (0.556)\tLoss 0.0422 (0.0534)\tPrec@1 97.656 (98.095)\n",
      "Epoch: [22][50/118]\tTime 0.573 (0.574)\tLoss 0.0310 (0.0501)\tPrec@1 99.609 (98.292)\n",
      "Epoch: [22][60/118]\tTime 0.603 (0.573)\tLoss 0.0539 (0.0490)\tPrec@1 97.656 (98.297)\n",
      "Epoch: [22][70/118]\tTime 0.611 (0.572)\tLoss 0.0810 (0.0490)\tPrec@1 97.266 (98.333)\n",
      "Epoch: [22][80/118]\tTime 0.519 (0.568)\tLoss 0.0284 (0.0488)\tPrec@1 99.219 (98.346)\n",
      "Epoch: [22][90/118]\tTime 0.510 (0.566)\tLoss 0.0522 (0.0492)\tPrec@1 97.656 (98.317)\n",
      "Epoch: [22][100/118]\tTime 0.540 (0.564)\tLoss 0.0602 (0.0495)\tPrec@1 98.438 (98.306)\n",
      "Epoch: [22][110/118]\tTime 0.532 (0.564)\tLoss 0.0231 (0.0493)\tPrec@1 99.609 (98.321)\n",
      "Test: [0/157]\tTime 0.318 (0.318)\tLoss 0.5035 (0.5035)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.158 (0.173)\tLoss 0.5473 (0.3317)\tPrec@1 87.109 (90.874)\n",
      "Test: [20/157]\tTime 0.161 (0.168)\tLoss 0.3510 (0.3304)\tPrec@1 92.188 (91.164)\n",
      "Test: [30/157]\tTime 0.155 (0.165)\tLoss 0.4437 (0.3355)\tPrec@1 89.062 (91.016)\n",
      "Test: [40/157]\tTime 0.158 (0.164)\tLoss 0.4096 (0.3311)\tPrec@1 89.844 (90.958)\n",
      "Test: [50/157]\tTime 0.203 (0.164)\tLoss 0.2925 (0.3238)\tPrec@1 92.969 (91.215)\n",
      "Test: [60/157]\tTime 0.180 (0.163)\tLoss 0.2546 (0.3200)\tPrec@1 93.359 (91.368)\n",
      "Test: [70/157]\tTime 0.147 (0.163)\tLoss 0.3630 (0.3234)\tPrec@1 91.406 (91.335)\n",
      "Test: [80/157]\tTime 0.160 (0.163)\tLoss 0.3552 (0.3246)\tPrec@1 89.062 (91.242)\n",
      "Test: [90/157]\tTime 0.153 (0.163)\tLoss 0.3001 (0.3248)\tPrec@1 92.188 (91.256)\n",
      "Test: [100/157]\tTime 0.154 (0.163)\tLoss 0.4009 (0.3245)\tPrec@1 87.891 (91.259)\n",
      "Test: [110/157]\tTime 0.144 (0.162)\tLoss 0.2025 (0.3237)\tPrec@1 94.531 (91.294)\n",
      "Test: [120/157]\tTime 0.157 (0.162)\tLoss 0.2221 (0.3217)\tPrec@1 93.359 (91.342)\n",
      "Test: [130/157]\tTime 0.181 (0.162)\tLoss 0.1263 (0.3213)\tPrec@1 96.484 (91.406)\n",
      "Test: [140/157]\tTime 0.187 (0.162)\tLoss 0.2445 (0.3234)\tPrec@1 92.188 (91.315)\n",
      "Test: [150/157]\tTime 0.171 (0.162)\tLoss 0.3327 (0.3212)\tPrec@1 90.625 (91.365)\n",
      " * Prec@1 91.345\n",
      "Epoch: [23][0/118]\tTime 0.279 (0.279)\tLoss 0.0296 (0.0296)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [23][10/118]\tTime 0.539 (0.526)\tLoss 0.0227 (0.0347)\tPrec@1 99.609 (98.935)\n",
      "Epoch: [23][20/118]\tTime 0.547 (0.533)\tLoss 0.0377 (0.0327)\tPrec@1 98.828 (98.921)\n",
      "Epoch: [23][30/118]\tTime 0.535 (0.543)\tLoss 0.0261 (0.0343)\tPrec@1 98.828 (98.866)\n",
      "Epoch: [23][40/118]\tTime 0.576 (0.542)\tLoss 0.0263 (0.0326)\tPrec@1 99.219 (98.952)\n",
      "Epoch: [23][50/118]\tTime 0.546 (0.543)\tLoss 0.0186 (0.0319)\tPrec@1 99.219 (98.989)\n",
      "Epoch: [23][60/118]\tTime 0.554 (0.546)\tLoss 0.0080 (0.0318)\tPrec@1 100.000 (98.995)\n",
      "Epoch: [23][70/118]\tTime 0.560 (0.549)\tLoss 0.0343 (0.0319)\tPrec@1 99.219 (98.977)\n",
      "Epoch: [23][80/118]\tTime 0.541 (0.553)\tLoss 0.0267 (0.0315)\tPrec@1 98.828 (98.997)\n",
      "Epoch: [23][90/118]\tTime 0.568 (0.554)\tLoss 0.0182 (0.0305)\tPrec@1 100.000 (99.051)\n",
      "Epoch: [23][100/118]\tTime 0.548 (0.554)\tLoss 0.0336 (0.0308)\tPrec@1 98.438 (99.025)\n",
      "Epoch: [23][110/118]\tTime 0.589 (0.556)\tLoss 0.0560 (0.0310)\tPrec@1 98.438 (99.015)\n",
      "Test: [0/157]\tTime 0.305 (0.305)\tLoss 0.3537 (0.3537)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.149 (0.173)\tLoss 0.4555 (0.3619)\tPrec@1 89.453 (90.341)\n",
      "Test: [20/157]\tTime 0.150 (0.165)\tLoss 0.3245 (0.3756)\tPrec@1 90.234 (90.439)\n",
      "Test: [30/157]\tTime 0.166 (0.162)\tLoss 0.4596 (0.3693)\tPrec@1 89.453 (90.524)\n",
      "Test: [40/157]\tTime 0.148 (0.162)\tLoss 0.4055 (0.3726)\tPrec@1 90.234 (90.415)\n",
      "Test: [50/157]\tTime 0.193 (0.161)\tLoss 0.3797 (0.3689)\tPrec@1 91.016 (90.548)\n",
      "Test: [60/157]\tTime 0.182 (0.162)\tLoss 0.2928 (0.3699)\tPrec@1 93.359 (90.542)\n",
      "Test: [70/157]\tTime 0.170 (0.162)\tLoss 0.3652 (0.3698)\tPrec@1 90.625 (90.493)\n",
      "Test: [80/157]\tTime 0.176 (0.162)\tLoss 0.3449 (0.3711)\tPrec@1 91.406 (90.384)\n",
      "Test: [90/157]\tTime 0.155 (0.161)\tLoss 0.3954 (0.3712)\tPrec@1 91.406 (90.432)\n",
      "Test: [100/157]\tTime 0.159 (0.161)\tLoss 0.4099 (0.3714)\tPrec@1 90.234 (90.439)\n",
      "Test: [110/157]\tTime 0.169 (0.162)\tLoss 0.3326 (0.3727)\tPrec@1 89.453 (90.351)\n",
      "Test: [120/157]\tTime 0.168 (0.162)\tLoss 0.2673 (0.3754)\tPrec@1 93.359 (90.318)\n",
      "Test: [130/157]\tTime 0.153 (0.162)\tLoss 0.2415 (0.3763)\tPrec@1 92.188 (90.228)\n",
      "Test: [140/157]\tTime 0.158 (0.162)\tLoss 0.4929 (0.3744)\tPrec@1 87.891 (90.265)\n",
      "Test: [150/157]\tTime 0.167 (0.161)\tLoss 0.4364 (0.3731)\tPrec@1 89.453 (90.353)\n",
      " * Prec@1 90.375\n",
      "Epoch: [24][0/118]\tTime 0.263 (0.263)\tLoss 0.0486 (0.0486)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [24][10/118]\tTime 0.535 (0.536)\tLoss 0.0308 (0.0397)\tPrec@1 99.219 (98.828)\n",
      "Epoch: [24][20/118]\tTime 0.576 (0.548)\tLoss 0.0244 (0.0378)\tPrec@1 99.609 (98.940)\n",
      "Epoch: [24][30/118]\tTime 0.560 (0.552)\tLoss 0.0219 (0.0347)\tPrec@1 99.609 (99.042)\n",
      "Epoch: [24][40/118]\tTime 0.562 (0.551)\tLoss 0.0318 (0.0322)\tPrec@1 98.828 (99.066)\n",
      "Epoch: [24][50/118]\tTime 0.547 (0.553)\tLoss 0.0356 (0.0308)\tPrec@1 98.828 (99.081)\n",
      "Epoch: [24][60/118]\tTime 0.550 (0.552)\tLoss 0.0424 (0.0336)\tPrec@1 98.047 (98.982)\n",
      "Epoch: [24][70/118]\tTime 0.572 (0.552)\tLoss 0.0586 (0.0334)\tPrec@1 98.047 (98.960)\n",
      "Epoch: [24][80/118]\tTime 0.535 (0.553)\tLoss 0.0238 (0.0334)\tPrec@1 98.828 (98.944)\n",
      "Epoch: [24][90/118]\tTime 0.573 (0.553)\tLoss 0.0520 (0.0341)\tPrec@1 98.438 (98.927)\n",
      "Epoch: [24][100/118]\tTime 0.557 (0.552)\tLoss 0.0613 (0.0354)\tPrec@1 98.047 (98.890)\n",
      "Epoch: [24][110/118]\tTime 0.541 (0.552)\tLoss 0.0355 (0.0360)\tPrec@1 98.438 (98.867)\n",
      "Test: [0/157]\tTime 0.298 (0.298)\tLoss 1.1411 (1.1411)\tPrec@1 77.734 (77.734)\n",
      "Test: [10/157]\tTime 0.154 (0.175)\tLoss 1.0912 (1.0559)\tPrec@1 78.906 (80.007)\n",
      "Test: [20/157]\tTime 0.154 (0.173)\tLoss 1.0441 (1.0665)\tPrec@1 78.906 (79.706)\n",
      "Test: [30/157]\tTime 0.162 (0.171)\tLoss 0.9304 (1.0373)\tPrec@1 82.031 (80.066)\n",
      "Test: [40/157]\tTime 0.157 (0.171)\tLoss 0.9501 (1.0338)\tPrec@1 82.031 (80.173)\n",
      "Test: [50/157]\tTime 0.152 (0.169)\tLoss 1.0870 (1.0294)\tPrec@1 78.906 (80.224)\n",
      "Test: [60/157]\tTime 0.148 (0.167)\tLoss 1.0143 (1.0377)\tPrec@1 79.688 (80.219)\n",
      "Test: [70/157]\tTime 0.165 (0.166)\tLoss 1.1533 (1.0301)\tPrec@1 80.859 (80.331)\n",
      "Test: [80/157]\tTime 0.146 (0.164)\tLoss 1.0192 (1.0298)\tPrec@1 81.641 (80.329)\n",
      "Test: [90/157]\tTime 0.186 (0.164)\tLoss 1.0657 (1.0332)\tPrec@1 82.031 (80.400)\n",
      "Test: [100/157]\tTime 0.155 (0.163)\tLoss 0.8928 (1.0294)\tPrec@1 83.594 (80.523)\n",
      "Test: [110/157]\tTime 0.154 (0.163)\tLoss 1.1489 (1.0264)\tPrec@1 76.953 (80.455)\n",
      "Test: [120/157]\tTime 0.177 (0.163)\tLoss 1.0094 (1.0263)\tPrec@1 78.906 (80.472)\n",
      "Test: [130/157]\tTime 0.158 (0.163)\tLoss 1.1000 (1.0274)\tPrec@1 77.344 (80.484)\n",
      "Test: [140/157]\tTime 0.174 (0.163)\tLoss 1.1207 (1.0279)\tPrec@1 76.953 (80.424)\n",
      "Test: [150/157]\tTime 0.150 (0.163)\tLoss 0.9190 (1.0246)\tPrec@1 81.250 (80.500)\n",
      " * Prec@1 80.455\n",
      "Epoch: [25][0/118]\tTime 0.256 (0.256)\tLoss 0.0405 (0.0405)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [25][10/118]\tTime 0.600 (0.538)\tLoss 0.1183 (0.0764)\tPrec@1 97.266 (97.692)\n",
      "Epoch: [25][20/118]\tTime 0.544 (0.544)\tLoss 0.0614 (0.0789)\tPrec@1 97.656 (97.414)\n",
      "Epoch: [25][30/118]\tTime 0.537 (0.552)\tLoss 0.0776 (0.0739)\tPrec@1 97.266 (97.581)\n",
      "Epoch: [25][40/118]\tTime 0.610 (0.552)\tLoss 0.0467 (0.0666)\tPrec@1 99.219 (97.837)\n",
      "Epoch: [25][50/118]\tTime 0.581 (0.556)\tLoss 0.0223 (0.0604)\tPrec@1 99.219 (98.009)\n",
      "Epoch: [25][60/118]\tTime 0.551 (0.557)\tLoss 0.0430 (0.0590)\tPrec@1 98.438 (98.008)\n",
      "Epoch: [25][70/118]\tTime 0.614 (0.560)\tLoss 0.0620 (0.0563)\tPrec@1 98.047 (98.124)\n",
      "Epoch: [25][80/118]\tTime 0.551 (0.562)\tLoss 0.0494 (0.0559)\tPrec@1 98.828 (98.134)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [25][90/118]\tTime 0.524 (0.561)\tLoss 0.0522 (0.0563)\tPrec@1 98.438 (98.103)\n",
      "Epoch: [25][100/118]\tTime 0.518 (0.560)\tLoss 0.0531 (0.0549)\tPrec@1 97.266 (98.155)\n",
      "Epoch: [25][110/118]\tTime 0.548 (0.561)\tLoss 0.0428 (0.0538)\tPrec@1 98.828 (98.195)\n",
      "Test: [0/157]\tTime 0.311 (0.311)\tLoss 0.4562 (0.4562)\tPrec@1 87.109 (87.109)\n",
      "Test: [10/157]\tTime 0.189 (0.176)\tLoss 0.2030 (0.3689)\tPrec@1 92.969 (90.057)\n",
      "Test: [20/157]\tTime 0.158 (0.167)\tLoss 0.3020 (0.3829)\tPrec@1 91.406 (89.211)\n",
      "Test: [30/157]\tTime 0.165 (0.165)\tLoss 0.7203 (0.3951)\tPrec@1 81.250 (88.773)\n",
      "Test: [40/157]\tTime 0.176 (0.165)\tLoss 0.4521 (0.3948)\tPrec@1 87.109 (88.824)\n",
      "Test: [50/157]\tTime 0.175 (0.164)\tLoss 0.4092 (0.3919)\tPrec@1 86.719 (88.948)\n",
      "Test: [60/157]\tTime 0.156 (0.163)\tLoss 0.4282 (0.3894)\tPrec@1 88.672 (89.062)\n",
      "Test: [70/157]\tTime 0.168 (0.161)\tLoss 0.3795 (0.3901)\tPrec@1 89.453 (89.151)\n",
      "Test: [80/157]\tTime 0.160 (0.161)\tLoss 0.3707 (0.3876)\tPrec@1 88.672 (89.251)\n",
      "Test: [90/157]\tTime 0.161 (0.161)\tLoss 0.5505 (0.3868)\tPrec@1 86.719 (89.311)\n",
      "Test: [100/157]\tTime 0.157 (0.163)\tLoss 0.2804 (0.3836)\tPrec@1 91.016 (89.407)\n",
      "Test: [110/157]\tTime 0.157 (0.163)\tLoss 0.3076 (0.3804)\tPrec@1 90.234 (89.443)\n",
      "Test: [120/157]\tTime 0.178 (0.163)\tLoss 0.2301 (0.3808)\tPrec@1 94.141 (89.469)\n",
      "Test: [130/157]\tTime 0.147 (0.163)\tLoss 0.4011 (0.3792)\tPrec@1 91.016 (89.498)\n",
      "Test: [140/157]\tTime 0.150 (0.162)\tLoss 0.4164 (0.3786)\tPrec@1 90.625 (89.539)\n",
      "Test: [150/157]\tTime 0.155 (0.162)\tLoss 0.3443 (0.3818)\tPrec@1 90.234 (89.495)\n",
      " * Prec@1 89.485\n",
      "Epoch: [26][0/118]\tTime 0.269 (0.269)\tLoss 0.0141 (0.0141)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [26][10/118]\tTime 0.551 (0.531)\tLoss 0.0130 (0.0245)\tPrec@1 99.609 (99.325)\n",
      "Epoch: [26][20/118]\tTime 0.560 (0.542)\tLoss 0.0435 (0.0240)\tPrec@1 98.828 (99.349)\n",
      "Epoch: [26][30/118]\tTime 0.599 (0.554)\tLoss 0.0169 (0.0237)\tPrec@1 99.609 (99.332)\n",
      "Epoch: [26][40/118]\tTime 0.561 (0.552)\tLoss 0.0485 (0.0241)\tPrec@1 98.047 (99.304)\n",
      "Epoch: [26][50/118]\tTime 0.621 (0.558)\tLoss 0.0199 (0.0248)\tPrec@1 99.609 (99.257)\n",
      "Epoch: [26][60/118]\tTime 0.551 (0.556)\tLoss 0.0517 (0.0260)\tPrec@1 98.047 (99.232)\n",
      "Epoch: [26][70/118]\tTime 0.599 (0.582)\tLoss 0.0274 (0.0269)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [26][80/118]\tTime 0.519 (0.577)\tLoss 0.0172 (0.0269)\tPrec@1 99.609 (99.219)\n",
      "Epoch: [26][90/118]\tTime 0.573 (0.573)\tLoss 0.0282 (0.0280)\tPrec@1 99.219 (99.172)\n",
      "Epoch: [26][100/118]\tTime 0.515 (0.569)\tLoss 0.0252 (0.0278)\tPrec@1 98.828 (99.172)\n",
      "Epoch: [26][110/118]\tTime 0.528 (0.568)\tLoss 0.0152 (0.0285)\tPrec@1 99.609 (99.141)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.4428 (0.4428)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.149 (0.167)\tLoss 0.5876 (0.4270)\tPrec@1 87.891 (89.737)\n",
      "Test: [20/157]\tTime 0.162 (0.164)\tLoss 0.4773 (0.4295)\tPrec@1 87.891 (89.546)\n",
      "Test: [30/157]\tTime 0.162 (0.163)\tLoss 0.3969 (0.4347)\tPrec@1 90.625 (89.529)\n",
      "Test: [40/157]\tTime 0.147 (0.162)\tLoss 0.4163 (0.4418)\tPrec@1 90.234 (89.434)\n",
      "Test: [50/157]\tTime 0.162 (0.161)\tLoss 0.5157 (0.4358)\tPrec@1 87.891 (89.514)\n",
      "Test: [60/157]\tTime 0.148 (0.160)\tLoss 0.5505 (0.4403)\tPrec@1 85.547 (89.395)\n",
      "Test: [70/157]\tTime 0.145 (0.160)\tLoss 0.4375 (0.4438)\tPrec@1 90.625 (89.354)\n",
      "Test: [80/157]\tTime 0.163 (0.159)\tLoss 0.4484 (0.4468)\tPrec@1 87.500 (89.294)\n",
      "Test: [90/157]\tTime 0.158 (0.160)\tLoss 0.3796 (0.4507)\tPrec@1 89.062 (89.217)\n",
      "Test: [100/157]\tTime 0.155 (0.161)\tLoss 0.5303 (0.4503)\tPrec@1 89.062 (89.256)\n",
      "Test: [110/157]\tTime 0.147 (0.160)\tLoss 0.3130 (0.4513)\tPrec@1 92.578 (89.326)\n",
      "Test: [120/157]\tTime 0.148 (0.161)\tLoss 0.4135 (0.4521)\tPrec@1 88.672 (89.292)\n",
      "Test: [130/157]\tTime 0.162 (0.161)\tLoss 0.3991 (0.4508)\tPrec@1 89.062 (89.346)\n",
      "Test: [140/157]\tTime 0.150 (0.161)\tLoss 0.4860 (0.4502)\tPrec@1 89.453 (89.373)\n",
      "Test: [150/157]\tTime 0.144 (0.161)\tLoss 0.2402 (0.4478)\tPrec@1 92.969 (89.417)\n",
      " * Prec@1 89.410\n",
      "Epoch: [27][0/118]\tTime 0.262 (0.262)\tLoss 0.0323 (0.0323)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [27][10/118]\tTime 0.551 (0.533)\tLoss 0.0415 (0.0295)\tPrec@1 98.828 (99.112)\n",
      "Epoch: [27][20/118]\tTime 0.581 (0.547)\tLoss 0.0139 (0.0254)\tPrec@1 99.609 (99.200)\n",
      "Epoch: [27][30/118]\tTime 0.598 (0.548)\tLoss 0.0217 (0.0259)\tPrec@1 98.828 (99.194)\n",
      "Epoch: [27][40/118]\tTime 0.564 (0.551)\tLoss 0.0050 (0.0239)\tPrec@1 100.000 (99.285)\n",
      "Epoch: [27][50/118]\tTime 0.548 (0.555)\tLoss 0.0226 (0.0230)\tPrec@1 99.219 (99.303)\n",
      "Epoch: [27][60/118]\tTime 0.591 (0.558)\tLoss 0.0201 (0.0251)\tPrec@1 98.828 (99.212)\n",
      "Epoch: [27][70/118]\tTime 0.630 (0.561)\tLoss 0.0198 (0.0267)\tPrec@1 99.609 (99.136)\n",
      "Epoch: [27][80/118]\tTime 0.526 (0.560)\tLoss 0.0500 (0.0292)\tPrec@1 98.047 (99.060)\n",
      "Epoch: [27][90/118]\tTime 0.592 (0.560)\tLoss 0.0260 (0.0310)\tPrec@1 99.219 (98.983)\n",
      "Epoch: [27][100/118]\tTime 0.662 (0.560)\tLoss 0.0416 (0.0330)\tPrec@1 99.219 (98.905)\n",
      "Epoch: [27][110/118]\tTime 0.594 (0.559)\tLoss 0.0407 (0.0348)\tPrec@1 98.828 (98.849)\n",
      "Test: [0/157]\tTime 0.320 (0.320)\tLoss 0.6862 (0.6862)\tPrec@1 85.547 (85.547)\n",
      "Test: [10/157]\tTime 0.149 (0.178)\tLoss 0.4178 (0.4946)\tPrec@1 89.453 (87.464)\n",
      "Test: [20/157]\tTime 0.154 (0.169)\tLoss 0.6286 (0.5115)\tPrec@1 84.766 (87.779)\n",
      "Test: [30/157]\tTime 0.148 (0.168)\tLoss 0.5128 (0.5177)\tPrec@1 86.328 (87.500)\n",
      "Test: [40/157]\tTime 0.177 (0.168)\tLoss 0.2322 (0.5044)\tPrec@1 93.359 (87.633)\n",
      "Test: [50/157]\tTime 0.168 (0.170)\tLoss 0.4933 (0.5001)\tPrec@1 87.891 (87.737)\n",
      "Test: [60/157]\tTime 0.163 (0.170)\tLoss 0.5882 (0.5029)\tPrec@1 87.500 (87.705)\n",
      "Test: [70/157]\tTime 0.146 (0.168)\tLoss 0.5148 (0.4982)\tPrec@1 88.672 (87.753)\n",
      "Test: [80/157]\tTime 0.177 (0.167)\tLoss 0.5029 (0.4972)\tPrec@1 87.891 (87.842)\n",
      "Test: [90/157]\tTime 0.147 (0.166)\tLoss 0.7173 (0.5043)\tPrec@1 84.766 (87.728)\n",
      "Test: [100/157]\tTime 0.148 (0.166)\tLoss 0.5644 (0.5037)\tPrec@1 85.938 (87.771)\n",
      "Test: [110/157]\tTime 0.148 (0.165)\tLoss 0.6298 (0.5137)\tPrec@1 85.547 (87.542)\n",
      "Test: [120/157]\tTime 0.154 (0.164)\tLoss 0.3045 (0.5098)\tPrec@1 92.188 (87.619)\n",
      "Test: [130/157]\tTime 0.148 (0.164)\tLoss 0.6063 (0.5101)\tPrec@1 85.156 (87.578)\n",
      "Test: [140/157]\tTime 0.156 (0.164)\tLoss 0.6043 (0.5088)\tPrec@1 83.203 (87.589)\n",
      "Test: [150/157]\tTime 0.153 (0.164)\tLoss 0.4631 (0.5056)\tPrec@1 87.891 (87.684)\n",
      " * Prec@1 87.638\n",
      "Epoch: [28][0/118]\tTime 0.334 (0.334)\tLoss 0.0681 (0.0681)\tPrec@1 96.875 (96.875)\n",
      "Epoch: [28][10/118]\tTime 0.559 (0.528)\tLoss 0.0352 (0.0602)\tPrec@1 99.219 (97.905)\n",
      "Epoch: [28][20/118]\tTime 0.514 (0.541)\tLoss 0.0488 (0.0527)\tPrec@1 97.656 (98.121)\n",
      "Epoch: [28][30/118]\tTime 0.536 (0.543)\tLoss 0.0378 (0.0507)\tPrec@1 99.219 (98.236)\n",
      "Epoch: [28][40/118]\tTime 0.564 (0.545)\tLoss 0.0508 (0.0490)\tPrec@1 98.438 (98.323)\n",
      "Epoch: [28][50/118]\tTime 0.556 (0.550)\tLoss 0.0225 (0.0452)\tPrec@1 99.609 (98.453)\n",
      "Epoch: [28][60/118]\tTime 0.590 (0.553)\tLoss 0.0377 (0.0456)\tPrec@1 98.828 (98.405)\n",
      "Epoch: [28][70/118]\tTime 0.534 (0.554)\tLoss 0.0470 (0.0445)\tPrec@1 98.828 (98.449)\n",
      "Epoch: [28][80/118]\tTime 0.573 (0.556)\tLoss 0.0332 (0.0447)\tPrec@1 98.828 (98.442)\n",
      "Epoch: [28][90/118]\tTime 0.588 (0.557)\tLoss 0.0696 (0.0447)\tPrec@1 98.047 (98.455)\n",
      "Epoch: [28][100/118]\tTime 0.622 (0.557)\tLoss 0.0341 (0.0447)\tPrec@1 98.438 (98.465)\n",
      "Epoch: [28][110/118]\tTime 0.540 (0.559)\tLoss 0.0230 (0.0445)\tPrec@1 100.000 (98.473)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.4737 (0.4737)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.143 (0.177)\tLoss 0.2608 (0.3773)\tPrec@1 92.969 (89.382)\n",
      "Test: [20/157]\tTime 0.148 (0.170)\tLoss 0.2711 (0.3890)\tPrec@1 90.625 (89.174)\n",
      "Test: [30/157]\tTime 0.151 (0.167)\tLoss 0.4097 (0.3907)\tPrec@1 90.625 (89.352)\n",
      "Test: [40/157]\tTime 0.158 (0.167)\tLoss 0.5395 (0.3854)\tPrec@1 87.500 (89.472)\n",
      "Test: [50/157]\tTime 0.149 (0.165)\tLoss 0.2300 (0.3814)\tPrec@1 92.188 (89.614)\n",
      "Test: [60/157]\tTime 0.154 (0.163)\tLoss 0.3144 (0.3789)\tPrec@1 89.844 (89.613)\n",
      "Test: [70/157]\tTime 0.188 (0.164)\tLoss 0.3377 (0.3800)\tPrec@1 90.625 (89.679)\n",
      "Test: [80/157]\tTime 0.183 (0.163)\tLoss 0.4047 (0.3852)\tPrec@1 89.453 (89.497)\n",
      "Test: [90/157]\tTime 0.159 (0.162)\tLoss 0.4197 (0.3842)\tPrec@1 89.453 (89.543)\n",
      "Test: [100/157]\tTime 0.149 (0.163)\tLoss 0.4308 (0.3880)\tPrec@1 87.500 (89.445)\n",
      "Test: [110/157]\tTime 0.166 (0.162)\tLoss 0.5384 (0.3878)\tPrec@1 86.328 (89.436)\n",
      "Test: [120/157]\tTime 0.156 (0.163)\tLoss 0.3522 (0.3884)\tPrec@1 90.625 (89.434)\n",
      "Test: [130/157]\tTime 0.164 (0.163)\tLoss 0.4815 (0.3891)\tPrec@1 86.719 (89.402)\n",
      "Test: [140/157]\tTime 0.208 (0.163)\tLoss 0.3935 (0.3864)\tPrec@1 88.672 (89.461)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.154 (0.163)\tLoss 0.3114 (0.3826)\tPrec@1 91.797 (89.531)\n",
      " * Prec@1 89.547\n",
      "Epoch: [29][0/118]\tTime 0.314 (0.314)\tLoss 0.0481 (0.0481)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [29][10/118]\tTime 0.522 (0.528)\tLoss 0.0311 (0.0363)\tPrec@1 99.609 (98.935)\n",
      "Epoch: [29][20/118]\tTime 0.574 (0.541)\tLoss 0.0326 (0.0327)\tPrec@1 98.438 (98.921)\n",
      "Epoch: [29][30/118]\tTime 0.556 (0.547)\tLoss 0.0519 (0.0331)\tPrec@1 98.438 (98.942)\n",
      "Epoch: [29][40/118]\tTime 0.548 (0.549)\tLoss 0.0292 (0.0349)\tPrec@1 99.219 (98.866)\n",
      "Epoch: [29][50/118]\tTime 0.542 (0.550)\tLoss 0.0194 (0.0354)\tPrec@1 99.219 (98.897)\n",
      "Epoch: [29][60/118]\tTime 0.551 (0.552)\tLoss 0.0995 (0.0370)\tPrec@1 96.094 (98.815)\n",
      "Epoch: [29][70/118]\tTime 0.556 (0.554)\tLoss 0.0369 (0.0380)\tPrec@1 98.047 (98.768)\n",
      "Epoch: [29][80/118]\tTime 0.526 (0.556)\tLoss 0.0145 (0.0372)\tPrec@1 100.000 (98.828)\n",
      "Epoch: [29][90/118]\tTime 0.554 (0.558)\tLoss 0.0497 (0.0388)\tPrec@1 97.656 (98.781)\n",
      "Epoch: [29][100/118]\tTime 0.617 (0.559)\tLoss 0.0361 (0.0384)\tPrec@1 98.438 (98.793)\n",
      "Epoch: [29][110/118]\tTime 0.556 (0.559)\tLoss 0.0331 (0.0379)\tPrec@1 99.219 (98.821)\n",
      "Test: [0/157]\tTime 0.303 (0.303)\tLoss 0.3370 (0.3370)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.162 (0.172)\tLoss 0.2951 (0.3393)\tPrec@1 92.188 (91.087)\n",
      "Test: [20/157]\tTime 0.151 (0.165)\tLoss 0.4326 (0.3286)\tPrec@1 89.062 (91.071)\n",
      "Test: [30/157]\tTime 0.156 (0.163)\tLoss 0.3554 (0.3438)\tPrec@1 90.625 (90.814)\n",
      "Test: [40/157]\tTime 0.145 (0.162)\tLoss 0.3210 (0.3443)\tPrec@1 90.625 (90.835)\n",
      "Test: [50/157]\tTime 0.156 (0.162)\tLoss 0.2232 (0.3437)\tPrec@1 92.578 (90.786)\n",
      "Test: [60/157]\tTime 0.161 (0.163)\tLoss 0.4143 (0.3505)\tPrec@1 87.891 (90.708)\n",
      "Test: [70/157]\tTime 0.153 (0.162)\tLoss 0.2806 (0.3529)\tPrec@1 92.969 (90.647)\n",
      "Test: [80/157]\tTime 0.156 (0.162)\tLoss 0.3995 (0.3525)\tPrec@1 90.625 (90.572)\n",
      "Test: [90/157]\tTime 0.148 (0.162)\tLoss 0.4286 (0.3451)\tPrec@1 89.844 (90.694)\n",
      "Test: [100/157]\tTime 0.155 (0.161)\tLoss 0.3231 (0.3453)\tPrec@1 90.234 (90.656)\n",
      "Test: [110/157]\tTime 0.148 (0.161)\tLoss 0.3610 (0.3451)\tPrec@1 90.625 (90.625)\n",
      "Test: [120/157]\tTime 0.155 (0.161)\tLoss 0.5613 (0.3473)\tPrec@1 86.328 (90.609)\n",
      "Test: [130/157]\tTime 0.159 (0.162)\tLoss 0.3215 (0.3487)\tPrec@1 91.797 (90.565)\n",
      "Test: [140/157]\tTime 0.154 (0.161)\tLoss 0.3013 (0.3491)\tPrec@1 91.797 (90.592)\n",
      "Test: [150/157]\tTime 0.161 (0.162)\tLoss 0.4707 (0.3498)\tPrec@1 87.891 (90.576)\n",
      " * Prec@1 90.562\n",
      "Epoch: [30][0/118]\tTime 0.279 (0.279)\tLoss 0.0619 (0.0619)\tPrec@1 97.266 (97.266)\n",
      "Epoch: [30][10/118]\tTime 0.527 (0.528)\tLoss 0.0264 (0.0252)\tPrec@1 98.438 (99.006)\n",
      "Epoch: [30][20/118]\tTime 0.611 (0.538)\tLoss 0.0155 (0.0287)\tPrec@1 99.609 (99.070)\n",
      "Epoch: [30][30/118]\tTime 0.559 (0.544)\tLoss 0.0188 (0.0257)\tPrec@1 99.609 (99.219)\n",
      "Epoch: [30][40/118]\tTime 0.571 (0.549)\tLoss 0.0156 (0.0240)\tPrec@1 99.609 (99.276)\n",
      "Epoch: [30][50/118]\tTime 0.540 (0.550)\tLoss 0.0098 (0.0237)\tPrec@1 100.000 (99.288)\n",
      "Epoch: [30][60/118]\tTime 0.595 (0.555)\tLoss 0.0084 (0.0227)\tPrec@1 100.000 (99.334)\n",
      "Epoch: [30][70/118]\tTime 0.525 (0.557)\tLoss 0.0162 (0.0221)\tPrec@1 99.609 (99.362)\n",
      "Epoch: [30][80/118]\tTime 0.527 (0.557)\tLoss 0.0133 (0.0228)\tPrec@1 100.000 (99.334)\n",
      "Epoch: [30][90/118]\tTime 0.572 (0.559)\tLoss 0.0391 (0.0236)\tPrec@1 98.047 (99.279)\n",
      "Epoch: [30][100/118]\tTime 0.725 (0.560)\tLoss 0.0294 (0.0251)\tPrec@1 99.219 (99.223)\n",
      "Epoch: [30][110/118]\tTime 0.569 (0.566)\tLoss 0.1135 (0.0274)\tPrec@1 96.484 (99.152)\n",
      "Test: [0/157]\tTime 0.300 (0.300)\tLoss 0.4280 (0.4280)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.172 (0.171)\tLoss 0.4282 (0.4460)\tPrec@1 89.844 (88.743)\n",
      "Test: [20/157]\tTime 0.186 (0.166)\tLoss 0.3549 (0.4571)\tPrec@1 91.406 (88.746)\n",
      "Test: [30/157]\tTime 0.164 (0.166)\tLoss 0.4193 (0.4529)\tPrec@1 87.891 (88.710)\n",
      "Test: [40/157]\tTime 0.145 (0.163)\tLoss 0.4047 (0.4530)\tPrec@1 88.672 (88.767)\n",
      "Test: [50/157]\tTime 0.150 (0.161)\tLoss 0.3548 (0.4517)\tPrec@1 91.406 (88.856)\n",
      "Test: [60/157]\tTime 0.148 (0.160)\tLoss 0.4691 (0.4507)\tPrec@1 89.453 (88.922)\n",
      "Test: [70/157]\tTime 0.148 (0.159)\tLoss 0.4449 (0.4459)\tPrec@1 88.281 (88.908)\n",
      "Test: [80/157]\tTime 0.152 (0.160)\tLoss 0.3428 (0.4428)\tPrec@1 92.188 (88.908)\n",
      "Test: [90/157]\tTime 0.148 (0.159)\tLoss 0.3855 (0.4425)\tPrec@1 88.281 (88.878)\n",
      "Test: [100/157]\tTime 0.151 (0.160)\tLoss 0.4298 (0.4371)\tPrec@1 88.672 (88.981)\n",
      "Test: [110/157]\tTime 0.154 (0.159)\tLoss 0.3725 (0.4334)\tPrec@1 91.797 (89.122)\n",
      "Test: [120/157]\tTime 0.162 (0.160)\tLoss 0.3573 (0.4366)\tPrec@1 89.453 (89.082)\n",
      "Test: [130/157]\tTime 0.158 (0.159)\tLoss 0.4599 (0.4368)\tPrec@1 90.625 (89.101)\n",
      "Test: [140/157]\tTime 0.154 (0.159)\tLoss 0.4169 (0.4375)\tPrec@1 89.453 (89.054)\n",
      "Test: [150/157]\tTime 0.145 (0.159)\tLoss 0.4100 (0.4319)\tPrec@1 89.453 (89.171)\n",
      " * Prec@1 89.172\n",
      "Epoch: [31][0/118]\tTime 0.288 (0.288)\tLoss 0.0550 (0.0550)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [31][10/118]\tTime 0.538 (0.533)\tLoss 0.0377 (0.0443)\tPrec@1 98.828 (98.793)\n",
      "Epoch: [31][20/118]\tTime 0.578 (0.544)\tLoss 0.0230 (0.0388)\tPrec@1 99.219 (98.847)\n",
      "Epoch: [31][30/118]\tTime 0.525 (0.556)\tLoss 0.0326 (0.0361)\tPrec@1 98.828 (98.879)\n",
      "Epoch: [31][40/118]\tTime 0.561 (0.565)\tLoss 0.0236 (0.0344)\tPrec@1 99.219 (98.923)\n",
      "Epoch: [31][50/118]\tTime 0.624 (0.563)\tLoss 0.0734 (0.0355)\tPrec@1 98.047 (98.889)\n",
      "Epoch: [31][60/118]\tTime 0.564 (0.563)\tLoss 0.0223 (0.0337)\tPrec@1 99.609 (98.911)\n",
      "Epoch: [31][70/118]\tTime 0.543 (0.564)\tLoss 0.0427 (0.0350)\tPrec@1 98.047 (98.861)\n",
      "Epoch: [31][80/118]\tTime 0.556 (0.564)\tLoss 0.0199 (0.0349)\tPrec@1 99.609 (98.900)\n",
      "Epoch: [31][90/118]\tTime 0.535 (0.563)\tLoss 0.0575 (0.0351)\tPrec@1 97.656 (98.893)\n",
      "Epoch: [31][100/118]\tTime 0.565 (0.561)\tLoss 0.0719 (0.0360)\tPrec@1 97.656 (98.855)\n",
      "Epoch: [31][110/118]\tTime 0.540 (0.561)\tLoss 0.0692 (0.0371)\tPrec@1 98.438 (98.811)\n",
      "Test: [0/157]\tTime 0.384 (0.384)\tLoss 0.3030 (0.3030)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.175 (0.178)\tLoss 0.4929 (0.3972)\tPrec@1 86.719 (89.702)\n",
      "Test: [20/157]\tTime 0.161 (0.172)\tLoss 0.3227 (0.4034)\tPrec@1 89.453 (89.751)\n",
      "Test: [30/157]\tTime 0.180 (0.169)\tLoss 0.3745 (0.4080)\tPrec@1 90.234 (89.718)\n",
      "Test: [40/157]\tTime 0.160 (0.168)\tLoss 0.2769 (0.3919)\tPrec@1 92.969 (89.987)\n",
      "Test: [50/157]\tTime 0.153 (0.166)\tLoss 0.4118 (0.3833)\tPrec@1 87.891 (90.119)\n",
      "Test: [60/157]\tTime 0.180 (0.164)\tLoss 0.4042 (0.3887)\tPrec@1 89.062 (90.081)\n",
      "Test: [70/157]\tTime 0.150 (0.163)\tLoss 0.3218 (0.3915)\tPrec@1 94.922 (90.080)\n",
      "Test: [80/157]\tTime 0.186 (0.164)\tLoss 0.4686 (0.3920)\tPrec@1 89.062 (90.123)\n",
      "Test: [90/157]\tTime 0.177 (0.163)\tLoss 0.5086 (0.3985)\tPrec@1 85.547 (90.003)\n",
      "Test: [100/157]\tTime 0.150 (0.163)\tLoss 0.3923 (0.3998)\tPrec@1 89.844 (89.898)\n",
      "Test: [110/157]\tTime 0.170 (0.164)\tLoss 0.3643 (0.4008)\tPrec@1 90.625 (89.893)\n",
      "Test: [120/157]\tTime 0.163 (0.165)\tLoss 0.4716 (0.4002)\tPrec@1 88.281 (89.908)\n",
      "Test: [130/157]\tTime 0.163 (0.165)\tLoss 0.4268 (0.4018)\tPrec@1 89.062 (89.880)\n",
      "Test: [140/157]\tTime 0.160 (0.165)\tLoss 0.3830 (0.4031)\tPrec@1 89.453 (89.874)\n",
      "Test: [150/157]\tTime 0.146 (0.164)\tLoss 0.4520 (0.4056)\tPrec@1 89.844 (89.852)\n",
      " * Prec@1 89.888\n",
      "Epoch: [32][0/118]\tTime 0.256 (0.256)\tLoss 0.0633 (0.0633)\tPrec@1 96.875 (96.875)\n",
      "Epoch: [32][10/118]\tTime 0.576 (0.532)\tLoss 0.0591 (0.0513)\tPrec@1 97.266 (98.118)\n",
      "Epoch: [32][20/118]\tTime 0.526 (0.535)\tLoss 0.0406 (0.0527)\tPrec@1 99.219 (98.140)\n",
      "Epoch: [32][30/118]\tTime 0.524 (0.543)\tLoss 0.0305 (0.0464)\tPrec@1 99.219 (98.425)\n",
      "Epoch: [32][40/118]\tTime 0.564 (0.549)\tLoss 0.0142 (0.0442)\tPrec@1 99.219 (98.514)\n",
      "Epoch: [32][50/118]\tTime 0.573 (0.553)\tLoss 0.0336 (0.0431)\tPrec@1 98.438 (98.522)\n",
      "Epoch: [32][60/118]\tTime 0.567 (0.556)\tLoss 0.0513 (0.0416)\tPrec@1 98.828 (98.604)\n",
      "Epoch: [32][70/118]\tTime 0.569 (0.558)\tLoss 0.0264 (0.0419)\tPrec@1 99.609 (98.597)\n",
      "Epoch: [32][80/118]\tTime 0.555 (0.557)\tLoss 0.0284 (0.0405)\tPrec@1 98.828 (98.635)\n",
      "Epoch: [32][90/118]\tTime 0.536 (0.558)\tLoss 0.0262 (0.0396)\tPrec@1 99.609 (98.674)\n",
      "Epoch: [32][100/118]\tTime 0.552 (0.560)\tLoss 0.0428 (0.0393)\tPrec@1 98.828 (98.685)\n",
      "Epoch: [32][110/118]\tTime 0.591 (0.560)\tLoss 0.0502 (0.0394)\tPrec@1 97.656 (98.673)\n",
      "Test: [0/157]\tTime 0.444 (0.444)\tLoss 0.4852 (0.4852)\tPrec@1 86.328 (86.328)\n",
      "Test: [10/157]\tTime 0.155 (0.222)\tLoss 0.3461 (0.3345)\tPrec@1 89.453 (90.625)\n",
      "Test: [20/157]\tTime 0.155 (0.201)\tLoss 0.2453 (0.3252)\tPrec@1 92.578 (90.625)\n",
      "Test: [30/157]\tTime 0.147 (0.188)\tLoss 0.2650 (0.3319)\tPrec@1 91.797 (90.461)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [40/157]\tTime 0.149 (0.179)\tLoss 0.2112 (0.3200)\tPrec@1 91.797 (90.758)\n",
      "Test: [50/157]\tTime 0.166 (0.175)\tLoss 0.2772 (0.3190)\tPrec@1 91.406 (90.809)\n",
      "Test: [60/157]\tTime 0.149 (0.171)\tLoss 0.2438 (0.3181)\tPrec@1 91.016 (90.875)\n",
      "Test: [70/157]\tTime 0.159 (0.169)\tLoss 0.2480 (0.3174)\tPrec@1 92.188 (90.928)\n",
      "Test: [80/157]\tTime 0.167 (0.169)\tLoss 0.3019 (0.3219)\tPrec@1 89.844 (90.895)\n",
      "Test: [90/157]\tTime 0.151 (0.169)\tLoss 0.2752 (0.3225)\tPrec@1 90.625 (90.925)\n",
      "Test: [100/157]\tTime 0.155 (0.168)\tLoss 0.4199 (0.3276)\tPrec@1 89.062 (90.830)\n",
      "Test: [110/157]\tTime 0.190 (0.167)\tLoss 0.3005 (0.3269)\tPrec@1 91.406 (90.882)\n",
      "Test: [120/157]\tTime 0.168 (0.166)\tLoss 0.4457 (0.3309)\tPrec@1 88.281 (90.809)\n",
      "Test: [130/157]\tTime 0.182 (0.166)\tLoss 0.2676 (0.3307)\tPrec@1 92.969 (90.855)\n",
      "Test: [140/157]\tTime 0.150 (0.165)\tLoss 0.3365 (0.3309)\tPrec@1 90.625 (90.797)\n",
      "Test: [150/157]\tTime 0.147 (0.165)\tLoss 0.2738 (0.3323)\tPrec@1 92.188 (90.778)\n",
      " * Prec@1 90.815\n",
      "Epoch: [33][0/118]\tTime 0.271 (0.271)\tLoss 0.0136 (0.0136)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [33][10/118]\tTime 0.513 (0.534)\tLoss 0.0169 (0.0261)\tPrec@1 99.609 (99.183)\n",
      "Epoch: [33][20/118]\tTime 0.568 (0.542)\tLoss 0.0133 (0.0253)\tPrec@1 99.609 (99.126)\n",
      "Epoch: [33][30/118]\tTime 0.577 (0.547)\tLoss 0.0101 (0.0284)\tPrec@1 99.609 (99.068)\n",
      "Epoch: [33][40/118]\tTime 0.557 (0.548)\tLoss 0.0270 (0.0302)\tPrec@1 99.219 (99.066)\n",
      "Epoch: [33][50/118]\tTime 0.626 (0.552)\tLoss 0.0989 (0.0320)\tPrec@1 97.266 (99.012)\n",
      "Epoch: [33][60/118]\tTime 0.578 (0.556)\tLoss 0.0558 (0.0321)\tPrec@1 98.047 (98.975)\n",
      "Epoch: [33][70/118]\tTime 0.535 (0.555)\tLoss 0.1058 (0.0330)\tPrec@1 95.703 (98.927)\n",
      "Epoch: [33][80/118]\tTime 0.517 (0.558)\tLoss 0.0251 (0.0334)\tPrec@1 98.828 (98.891)\n",
      "Epoch: [33][90/118]\tTime 0.541 (0.556)\tLoss 0.0601 (0.0349)\tPrec@1 98.047 (98.850)\n",
      "Epoch: [33][100/118]\tTime 0.575 (0.557)\tLoss 0.0396 (0.0353)\tPrec@1 98.828 (98.840)\n",
      "Epoch: [33][110/118]\tTime 0.534 (0.558)\tLoss 0.0455 (0.0358)\tPrec@1 98.438 (98.821)\n",
      "Test: [0/157]\tTime 0.333 (0.333)\tLoss 0.2933 (0.2933)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.148 (0.188)\tLoss 0.4563 (0.4232)\tPrec@1 90.234 (88.743)\n",
      "Test: [20/157]\tTime 0.151 (0.171)\tLoss 0.4171 (0.4315)\tPrec@1 89.844 (88.746)\n",
      "Test: [30/157]\tTime 0.153 (0.168)\tLoss 0.4302 (0.4248)\tPrec@1 89.062 (88.899)\n",
      "Test: [40/157]\tTime 0.153 (0.166)\tLoss 0.3631 (0.4320)\tPrec@1 90.234 (88.634)\n",
      "Test: [50/157]\tTime 0.157 (0.166)\tLoss 0.5396 (0.4384)\tPrec@1 86.328 (88.503)\n",
      "Test: [60/157]\tTime 0.194 (0.166)\tLoss 0.5448 (0.4363)\tPrec@1 86.719 (88.582)\n",
      "Test: [70/157]\tTime 0.162 (0.166)\tLoss 0.4455 (0.4385)\tPrec@1 89.062 (88.457)\n",
      "Test: [80/157]\tTime 0.162 (0.166)\tLoss 0.2517 (0.4404)\tPrec@1 91.797 (88.378)\n",
      "Test: [90/157]\tTime 0.149 (0.165)\tLoss 0.4651 (0.4425)\tPrec@1 85.156 (88.324)\n",
      "Test: [100/157]\tTime 0.192 (0.165)\tLoss 0.4590 (0.4471)\tPrec@1 89.062 (88.138)\n",
      "Test: [110/157]\tTime 0.154 (0.165)\tLoss 0.6187 (0.4480)\tPrec@1 83.203 (88.116)\n",
      "Test: [120/157]\tTime 0.148 (0.164)\tLoss 0.4414 (0.4509)\tPrec@1 87.891 (88.100)\n",
      "Test: [130/157]\tTime 0.146 (0.164)\tLoss 0.5050 (0.4509)\tPrec@1 87.109 (88.099)\n",
      "Test: [140/157]\tTime 0.190 (0.164)\tLoss 0.5557 (0.4527)\tPrec@1 86.719 (88.134)\n",
      "Test: [150/157]\tTime 0.154 (0.164)\tLoss 0.3019 (0.4555)\tPrec@1 92.578 (88.092)\n",
      " * Prec@1 88.095\n",
      "Epoch: [34][0/118]\tTime 0.276 (0.276)\tLoss 0.0375 (0.0375)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [34][10/118]\tTime 0.543 (0.530)\tLoss 0.0262 (0.0451)\tPrec@1 99.219 (98.366)\n",
      "Epoch: [34][20/118]\tTime 0.580 (0.543)\tLoss 0.0747 (0.0466)\tPrec@1 97.656 (98.344)\n",
      "Epoch: [34][30/118]\tTime 0.648 (0.549)\tLoss 0.0353 (0.0454)\tPrec@1 99.219 (98.387)\n",
      "Epoch: [34][40/118]\tTime 0.612 (0.555)\tLoss 0.0832 (0.0453)\tPrec@1 96.875 (98.418)\n",
      "Epoch: [34][50/118]\tTime 0.604 (0.558)\tLoss 0.0277 (0.0435)\tPrec@1 98.828 (98.468)\n",
      "Epoch: [34][60/118]\tTime 0.547 (0.560)\tLoss 0.0276 (0.0415)\tPrec@1 98.828 (98.553)\n",
      "Epoch: [34][70/118]\tTime 0.541 (0.560)\tLoss 0.0286 (0.0407)\tPrec@1 98.828 (98.581)\n",
      "Epoch: [34][80/118]\tTime 0.544 (0.561)\tLoss 0.0305 (0.0401)\tPrec@1 98.438 (98.601)\n",
      "Epoch: [34][90/118]\tTime 0.541 (0.561)\tLoss 0.0636 (0.0401)\tPrec@1 98.438 (98.631)\n",
      "Epoch: [34][100/118]\tTime 0.594 (0.561)\tLoss 0.0544 (0.0410)\tPrec@1 97.656 (98.600)\n",
      "Epoch: [34][110/118]\tTime 0.603 (0.561)\tLoss 0.0464 (0.0420)\tPrec@1 98.828 (98.582)\n",
      "Test: [0/157]\tTime 0.291 (0.291)\tLoss 0.5095 (0.5095)\tPrec@1 87.109 (87.109)\n",
      "Test: [10/157]\tTime 0.155 (0.172)\tLoss 0.2777 (0.4322)\tPrec@1 89.844 (88.210)\n",
      "Test: [20/157]\tTime 0.164 (0.168)\tLoss 0.4584 (0.4473)\tPrec@1 86.719 (87.760)\n",
      "Test: [30/157]\tTime 0.158 (0.165)\tLoss 0.3847 (0.4564)\tPrec@1 89.453 (87.576)\n",
      "Test: [40/157]\tTime 0.183 (0.164)\tLoss 0.4849 (0.4699)\tPrec@1 88.281 (87.471)\n",
      "Test: [50/157]\tTime 0.174 (0.162)\tLoss 0.6309 (0.4658)\tPrec@1 85.547 (87.485)\n",
      "Test: [60/157]\tTime 0.156 (0.161)\tLoss 0.4190 (0.4598)\tPrec@1 88.672 (87.564)\n",
      "Test: [70/157]\tTime 0.172 (0.161)\tLoss 0.4115 (0.4635)\tPrec@1 89.062 (87.445)\n",
      "Test: [80/157]\tTime 0.183 (0.160)\tLoss 0.4090 (0.4616)\tPrec@1 87.500 (87.457)\n",
      "Test: [90/157]\tTime 0.158 (0.160)\tLoss 0.4815 (0.4603)\tPrec@1 85.938 (87.406)\n",
      "Test: [100/157]\tTime 0.155 (0.160)\tLoss 0.5517 (0.4588)\tPrec@1 84.375 (87.485)\n",
      "Test: [110/157]\tTime 0.164 (0.160)\tLoss 0.4302 (0.4623)\tPrec@1 88.672 (87.433)\n",
      "Test: [120/157]\tTime 0.154 (0.161)\tLoss 0.4539 (0.4602)\tPrec@1 87.109 (87.455)\n",
      "Test: [130/157]\tTime 0.153 (0.161)\tLoss 0.4206 (0.4617)\tPrec@1 89.062 (87.387)\n",
      "Test: [140/157]\tTime 0.153 (0.162)\tLoss 0.4569 (0.4642)\tPrec@1 87.109 (87.295)\n",
      "Test: [150/157]\tTime 0.151 (0.161)\tLoss 0.4577 (0.4666)\tPrec@1 88.281 (87.309)\n",
      " * Prec@1 87.278\n",
      "Epoch: [35][0/118]\tTime 0.272 (0.272)\tLoss 0.1098 (0.1098)\tPrec@1 96.094 (96.094)\n",
      "Epoch: [35][10/118]\tTime 0.525 (0.529)\tLoss 0.0259 (0.0380)\tPrec@1 99.219 (98.757)\n",
      "Epoch: [35][20/118]\tTime 0.567 (0.538)\tLoss 0.0449 (0.0364)\tPrec@1 99.219 (98.940)\n",
      "Epoch: [35][30/118]\tTime 0.569 (0.544)\tLoss 0.0355 (0.0347)\tPrec@1 97.656 (98.916)\n",
      "Epoch: [35][40/118]\tTime 0.544 (0.548)\tLoss 0.0598 (0.0352)\tPrec@1 97.656 (98.885)\n",
      "Epoch: [35][50/118]\tTime 0.578 (0.551)\tLoss 0.0280 (0.0357)\tPrec@1 99.219 (98.866)\n",
      "Epoch: [35][60/118]\tTime 0.536 (0.553)\tLoss 0.0492 (0.0358)\tPrec@1 98.047 (98.822)\n",
      "Epoch: [35][70/118]\tTime 0.594 (0.553)\tLoss 0.0523 (0.0374)\tPrec@1 98.828 (98.790)\n",
      "Epoch: [35][80/118]\tTime 0.582 (0.554)\tLoss 0.0233 (0.0367)\tPrec@1 99.219 (98.809)\n",
      "Epoch: [35][90/118]\tTime 0.607 (0.555)\tLoss 0.0362 (0.0365)\tPrec@1 98.047 (98.815)\n",
      "Epoch: [35][100/118]\tTime 0.588 (0.554)\tLoss 0.0245 (0.0369)\tPrec@1 98.828 (98.778)\n",
      "Epoch: [35][110/118]\tTime 0.608 (0.555)\tLoss 0.0322 (0.0381)\tPrec@1 98.828 (98.744)\n",
      "Test: [0/157]\tTime 0.259 (0.259)\tLoss 0.4194 (0.4194)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.150 (0.178)\tLoss 0.3434 (0.3890)\tPrec@1 90.625 (90.057)\n",
      "Test: [20/157]\tTime 0.157 (0.169)\tLoss 0.3471 (0.3730)\tPrec@1 91.016 (90.327)\n",
      "Test: [30/157]\tTime 0.162 (0.167)\tLoss 0.3742 (0.3871)\tPrec@1 91.406 (90.096)\n",
      "Test: [40/157]\tTime 0.155 (0.166)\tLoss 0.5253 (0.3960)\tPrec@1 85.156 (89.996)\n",
      "Test: [50/157]\tTime 0.199 (0.165)\tLoss 0.6419 (0.3994)\tPrec@1 85.938 (89.836)\n",
      "Test: [60/157]\tTime 0.150 (0.165)\tLoss 0.4997 (0.3990)\tPrec@1 87.109 (89.825)\n",
      "Test: [70/157]\tTime 0.164 (0.164)\tLoss 0.3057 (0.4033)\tPrec@1 91.016 (89.750)\n",
      "Test: [80/157]\tTime 0.164 (0.164)\tLoss 0.3496 (0.4055)\tPrec@1 91.406 (89.660)\n",
      "Test: [90/157]\tTime 0.160 (0.164)\tLoss 0.3623 (0.4050)\tPrec@1 91.406 (89.642)\n",
      "Test: [100/157]\tTime 0.207 (0.165)\tLoss 0.2958 (0.4014)\tPrec@1 89.844 (89.697)\n",
      "Test: [110/157]\tTime 0.149 (0.164)\tLoss 0.4797 (0.4018)\tPrec@1 88.672 (89.675)\n",
      "Test: [120/157]\tTime 0.153 (0.164)\tLoss 0.3855 (0.4013)\tPrec@1 90.234 (89.705)\n",
      "Test: [130/157]\tTime 0.156 (0.164)\tLoss 0.3708 (0.3954)\tPrec@1 90.234 (89.784)\n",
      "Test: [140/157]\tTime 0.178 (0.164)\tLoss 0.2764 (0.3949)\tPrec@1 91.406 (89.833)\n",
      "Test: [150/157]\tTime 0.151 (0.164)\tLoss 0.3289 (0.3947)\tPrec@1 91.406 (89.859)\n",
      " * Prec@1 89.853\n",
      "Epoch: [36][0/118]\tTime 0.293 (0.293)\tLoss 0.0156 (0.0156)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [36][10/118]\tTime 0.607 (0.536)\tLoss 0.0118 (0.0271)\tPrec@1 99.219 (99.112)\n",
      "Epoch: [36][20/118]\tTime 0.551 (0.545)\tLoss 0.0064 (0.0248)\tPrec@1 100.000 (99.275)\n",
      "Epoch: [36][30/118]\tTime 0.553 (0.547)\tLoss 0.0141 (0.0264)\tPrec@1 100.000 (99.269)\n",
      "Epoch: [36][40/118]\tTime 0.522 (0.549)\tLoss 0.0137 (0.0272)\tPrec@1 99.609 (99.162)\n",
      "Epoch: [36][50/118]\tTime 0.544 (0.553)\tLoss 0.0155 (0.0271)\tPrec@1 99.609 (99.180)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [36][60/118]\tTime 0.534 (0.554)\tLoss 0.0324 (0.0286)\tPrec@1 98.438 (99.091)\n",
      "Epoch: [36][70/118]\tTime 0.532 (0.556)\tLoss 0.0408 (0.0287)\tPrec@1 98.438 (99.103)\n",
      "Epoch: [36][80/118]\tTime 0.576 (0.557)\tLoss 0.0073 (0.0295)\tPrec@1 100.000 (99.089)\n",
      "Epoch: [36][90/118]\tTime 0.561 (0.558)\tLoss 0.0436 (0.0299)\tPrec@1 98.828 (99.073)\n",
      "Epoch: [36][100/118]\tTime 0.621 (0.559)\tLoss 0.0650 (0.0308)\tPrec@1 97.656 (99.041)\n",
      "Epoch: [36][110/118]\tTime 0.599 (0.561)\tLoss 0.0281 (0.0308)\tPrec@1 98.828 (99.039)\n",
      "Test: [0/157]\tTime 0.294 (0.294)\tLoss 0.9319 (0.9319)\tPrec@1 77.734 (77.734)\n",
      "Test: [10/157]\tTime 0.147 (0.170)\tLoss 0.7691 (0.8504)\tPrec@1 82.422 (80.398)\n",
      "Test: [20/157]\tTime 0.149 (0.167)\tLoss 1.0777 (0.8803)\tPrec@1 76.172 (80.357)\n",
      "Test: [30/157]\tTime 0.156 (0.165)\tLoss 0.7683 (0.8975)\tPrec@1 81.641 (80.040)\n",
      "Test: [40/157]\tTime 0.157 (0.164)\tLoss 0.8149 (0.8899)\tPrec@1 81.250 (80.183)\n",
      "Test: [50/157]\tTime 0.160 (0.163)\tLoss 1.0144 (0.8850)\tPrec@1 80.078 (80.285)\n",
      "Test: [60/157]\tTime 0.155 (0.162)\tLoss 1.0366 (0.8974)\tPrec@1 78.125 (80.193)\n",
      "Test: [70/157]\tTime 0.161 (0.163)\tLoss 1.2176 (0.8986)\tPrec@1 76.172 (80.293)\n",
      "Test: [80/157]\tTime 0.151 (0.163)\tLoss 0.8444 (0.9003)\tPrec@1 78.516 (80.155)\n",
      "Test: [90/157]\tTime 0.151 (0.163)\tLoss 0.9330 (0.9043)\tPrec@1 78.906 (80.121)\n",
      "Test: [100/157]\tTime 0.147 (0.162)\tLoss 0.8984 (0.9062)\tPrec@1 80.469 (80.125)\n",
      "Test: [110/157]\tTime 0.182 (0.162)\tLoss 1.0143 (0.9145)\tPrec@1 77.734 (79.966)\n",
      "Test: [120/157]\tTime 0.166 (0.162)\tLoss 1.1048 (0.9129)\tPrec@1 74.609 (79.955)\n",
      "Test: [130/157]\tTime 0.176 (0.162)\tLoss 0.6896 (0.9137)\tPrec@1 83.594 (80.036)\n",
      "Test: [140/157]\tTime 0.174 (0.162)\tLoss 0.9448 (0.9099)\tPrec@1 80.078 (80.075)\n",
      "Test: [150/157]\tTime 0.160 (0.162)\tLoss 1.0502 (0.9101)\tPrec@1 79.688 (80.086)\n",
      " * Prec@1 80.115\n",
      "Epoch: [37][0/118]\tTime 0.260 (0.260)\tLoss 0.1129 (0.1129)\tPrec@1 97.656 (97.656)\n",
      "Epoch: [37][10/118]\tTime 0.593 (0.552)\tLoss 0.1041 (0.0880)\tPrec@1 96.094 (97.053)\n",
      "Epoch: [37][20/118]\tTime 0.526 (0.553)\tLoss 0.0775 (0.0781)\tPrec@1 97.656 (97.470)\n",
      "Epoch: [37][30/118]\tTime 0.541 (0.554)\tLoss 0.0423 (0.0703)\tPrec@1 98.828 (97.719)\n",
      "Epoch: [37][40/118]\tTime 0.549 (0.556)\tLoss 0.0231 (0.0661)\tPrec@1 99.609 (97.847)\n",
      "Epoch: [37][50/118]\tTime 0.565 (0.556)\tLoss 0.0387 (0.0613)\tPrec@1 98.438 (97.986)\n",
      "Epoch: [37][60/118]\tTime 0.571 (0.557)\tLoss 0.0448 (0.0593)\tPrec@1 98.438 (98.034)\n",
      "Epoch: [37][70/118]\tTime 0.555 (0.557)\tLoss 0.0692 (0.0572)\tPrec@1 97.656 (98.118)\n",
      "Epoch: [37][80/118]\tTime 0.613 (0.557)\tLoss 0.0433 (0.0542)\tPrec@1 98.047 (98.201)\n",
      "Epoch: [37][90/118]\tTime 0.523 (0.557)\tLoss 0.0675 (0.0529)\tPrec@1 97.266 (98.253)\n",
      "Epoch: [37][100/118]\tTime 0.511 (0.556)\tLoss 0.0291 (0.0515)\tPrec@1 99.219 (98.302)\n",
      "Epoch: [37][110/118]\tTime 0.552 (0.558)\tLoss 0.0597 (0.0510)\tPrec@1 98.047 (98.311)\n",
      "Test: [0/157]\tTime 0.339 (0.339)\tLoss 0.6180 (0.6180)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.148 (0.173)\tLoss 0.5459 (0.4225)\tPrec@1 87.500 (89.879)\n",
      "Test: [20/157]\tTime 0.218 (0.168)\tLoss 0.3743 (0.4103)\tPrec@1 89.844 (89.788)\n",
      "Test: [30/157]\tTime 0.185 (0.165)\tLoss 0.3969 (0.3999)\tPrec@1 90.625 (90.121)\n",
      "Test: [40/157]\tTime 0.178 (0.164)\tLoss 0.3082 (0.3952)\tPrec@1 91.797 (90.301)\n",
      "Test: [50/157]\tTime 0.159 (0.161)\tLoss 0.3171 (0.3890)\tPrec@1 89.844 (90.349)\n",
      "Test: [60/157]\tTime 0.155 (0.161)\tLoss 0.3178 (0.3912)\tPrec@1 90.625 (90.324)\n",
      "Test: [70/157]\tTime 0.157 (0.161)\tLoss 0.2257 (0.3918)\tPrec@1 93.359 (90.196)\n",
      "Test: [80/157]\tTime 0.165 (0.160)\tLoss 0.4111 (0.3859)\tPrec@1 88.281 (90.268)\n",
      "Test: [90/157]\tTime 0.152 (0.161)\tLoss 0.3157 (0.3851)\tPrec@1 91.797 (90.363)\n",
      "Test: [100/157]\tTime 0.153 (0.162)\tLoss 0.3577 (0.3890)\tPrec@1 91.016 (90.238)\n",
      "Test: [110/157]\tTime 0.149 (0.162)\tLoss 0.3534 (0.3883)\tPrec@1 92.578 (90.280)\n",
      "Test: [120/157]\tTime 0.160 (0.161)\tLoss 0.3251 (0.3867)\tPrec@1 91.797 (90.328)\n",
      "Test: [130/157]\tTime 0.159 (0.162)\tLoss 0.5166 (0.3877)\tPrec@1 87.500 (90.330)\n",
      "Test: [140/157]\tTime 0.148 (0.162)\tLoss 0.4178 (0.3875)\tPrec@1 88.672 (90.298)\n",
      "Test: [150/157]\tTime 0.166 (0.162)\tLoss 0.5546 (0.3898)\tPrec@1 86.719 (90.245)\n",
      " * Prec@1 90.192\n",
      "Epoch: [38][0/118]\tTime 0.266 (0.266)\tLoss 0.0670 (0.0670)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [38][10/118]\tTime 0.538 (0.529)\tLoss 0.0244 (0.0388)\tPrec@1 99.219 (98.757)\n",
      "Epoch: [38][20/118]\tTime 0.648 (0.554)\tLoss 0.0281 (0.0386)\tPrec@1 98.828 (98.735)\n",
      "Epoch: [38][30/118]\tTime 0.517 (0.555)\tLoss 0.0405 (0.0395)\tPrec@1 99.219 (98.727)\n",
      "Epoch: [38][40/118]\tTime 0.678 (0.562)\tLoss 0.0247 (0.0362)\tPrec@1 99.609 (98.866)\n",
      "Epoch: [38][50/118]\tTime 0.566 (0.562)\tLoss 0.0084 (0.0348)\tPrec@1 100.000 (98.897)\n",
      "Epoch: [38][60/118]\tTime 0.581 (0.561)\tLoss 0.0315 (0.0330)\tPrec@1 98.438 (98.956)\n",
      "Epoch: [38][70/118]\tTime 0.524 (0.561)\tLoss 0.0288 (0.0322)\tPrec@1 98.828 (98.966)\n",
      "Epoch: [38][80/118]\tTime 0.509 (0.559)\tLoss 0.0233 (0.0313)\tPrec@1 99.219 (99.016)\n",
      "Epoch: [38][90/118]\tTime 0.561 (0.559)\tLoss 0.0463 (0.0310)\tPrec@1 99.219 (99.034)\n",
      "Epoch: [38][100/118]\tTime 0.556 (0.560)\tLoss 0.0464 (0.0314)\tPrec@1 98.828 (99.010)\n",
      "Epoch: [38][110/118]\tTime 0.592 (0.560)\tLoss 0.0447 (0.0324)\tPrec@1 98.828 (98.997)\n",
      "Test: [0/157]\tTime 0.306 (0.306)\tLoss 0.5141 (0.5141)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.160 (0.169)\tLoss 0.3466 (0.4076)\tPrec@1 89.453 (89.382)\n",
      "Test: [20/157]\tTime 0.176 (0.168)\tLoss 0.4383 (0.4154)\tPrec@1 90.234 (89.304)\n",
      "Test: [30/157]\tTime 0.154 (0.167)\tLoss 0.3536 (0.4306)\tPrec@1 91.406 (88.924)\n",
      "Test: [40/157]\tTime 0.183 (0.166)\tLoss 0.4220 (0.4234)\tPrec@1 90.234 (89.072)\n",
      "Test: [50/157]\tTime 0.142 (0.165)\tLoss 0.4212 (0.4254)\tPrec@1 89.453 (89.070)\n",
      "Test: [60/157]\tTime 0.163 (0.165)\tLoss 0.3816 (0.4139)\tPrec@1 89.844 (89.370)\n",
      "Test: [70/157]\tTime 0.190 (0.165)\tLoss 0.2962 (0.4104)\tPrec@1 91.016 (89.486)\n",
      "Test: [80/157]\tTime 0.147 (0.165)\tLoss 0.5628 (0.4105)\tPrec@1 85.938 (89.463)\n",
      "Test: [90/157]\tTime 0.174 (0.165)\tLoss 0.2808 (0.4053)\tPrec@1 91.406 (89.526)\n",
      "Test: [100/157]\tTime 0.160 (0.165)\tLoss 0.5446 (0.4046)\tPrec@1 85.547 (89.558)\n",
      "Test: [110/157]\tTime 0.154 (0.165)\tLoss 0.4258 (0.4039)\tPrec@1 89.844 (89.636)\n",
      "Test: [120/157]\tTime 0.200 (0.165)\tLoss 0.4140 (0.4043)\tPrec@1 89.062 (89.650)\n",
      "Test: [130/157]\tTime 0.154 (0.165)\tLoss 0.2554 (0.4044)\tPrec@1 92.188 (89.629)\n",
      "Test: [140/157]\tTime 0.160 (0.164)\tLoss 0.3850 (0.4064)\tPrec@1 88.281 (89.533)\n",
      "Test: [150/157]\tTime 0.151 (0.164)\tLoss 0.4124 (0.4088)\tPrec@1 89.453 (89.458)\n",
      " * Prec@1 89.448\n",
      "Epoch: [39][0/118]\tTime 0.270 (0.270)\tLoss 0.0351 (0.0351)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [39][10/118]\tTime 0.531 (0.543)\tLoss 0.0343 (0.0323)\tPrec@1 99.219 (99.112)\n",
      "Epoch: [39][20/118]\tTime 0.562 (0.556)\tLoss 0.0291 (0.0303)\tPrec@1 99.219 (99.163)\n",
      "Epoch: [39][30/118]\tTime 0.689 (0.567)\tLoss 0.0249 (0.0272)\tPrec@1 98.438 (99.219)\n",
      "Epoch: [39][40/118]\tTime 0.577 (0.566)\tLoss 0.0120 (0.0251)\tPrec@1 99.609 (99.285)\n",
      "Epoch: [39][50/118]\tTime 0.552 (0.564)\tLoss 0.0408 (0.0247)\tPrec@1 98.828 (99.288)\n",
      "Epoch: [39][60/118]\tTime 0.574 (0.562)\tLoss 0.0590 (0.0262)\tPrec@1 98.047 (99.225)\n",
      "Epoch: [39][70/118]\tTime 0.565 (0.562)\tLoss 0.0425 (0.0264)\tPrec@1 98.047 (99.224)\n",
      "Epoch: [39][80/118]\tTime 0.606 (0.562)\tLoss 0.0456 (0.0268)\tPrec@1 98.828 (99.219)\n",
      "Epoch: [39][90/118]\tTime 0.551 (0.562)\tLoss 0.0167 (0.0261)\tPrec@1 99.609 (99.249)\n",
      "Epoch: [39][100/118]\tTime 0.515 (0.560)\tLoss 0.0136 (0.0262)\tPrec@1 99.609 (99.223)\n",
      "Epoch: [39][110/118]\tTime 0.598 (0.561)\tLoss 0.0505 (0.0270)\tPrec@1 98.438 (99.198)\n",
      "Test: [0/157]\tTime 0.315 (0.315)\tLoss 0.6188 (0.6188)\tPrec@1 83.203 (83.203)\n",
      "Test: [10/157]\tTime 0.198 (0.180)\tLoss 0.6276 (0.6030)\tPrec@1 83.203 (84.411)\n",
      "Test: [20/157]\tTime 0.166 (0.169)\tLoss 0.7693 (0.6379)\tPrec@1 80.859 (83.817)\n",
      "Test: [30/157]\tTime 0.162 (0.166)\tLoss 0.5910 (0.6542)\tPrec@1 84.375 (83.241)\n",
      "Test: [40/157]\tTime 0.207 (0.168)\tLoss 0.5704 (0.6548)\tPrec@1 83.203 (83.213)\n",
      "Test: [50/157]\tTime 0.145 (0.166)\tLoss 0.6898 (0.6548)\tPrec@1 82.812 (83.372)\n",
      "Test: [60/157]\tTime 0.185 (0.165)\tLoss 0.7312 (0.6509)\tPrec@1 82.422 (83.446)\n",
      "Test: [70/157]\tTime 0.192 (0.165)\tLoss 0.6145 (0.6383)\tPrec@1 83.203 (83.605)\n",
      "Test: [80/157]\tTime 0.163 (0.165)\tLoss 0.6612 (0.6375)\tPrec@1 82.422 (83.589)\n",
      "Test: [90/157]\tTime 0.164 (0.164)\tLoss 0.7018 (0.6338)\tPrec@1 81.641 (83.607)\n",
      "Test: [100/157]\tTime 0.177 (0.165)\tLoss 0.4308 (0.6359)\tPrec@1 86.719 (83.532)\n",
      "Test: [110/157]\tTime 0.159 (0.165)\tLoss 0.5027 (0.6336)\tPrec@1 88.281 (83.675)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [120/157]\tTime 0.155 (0.165)\tLoss 0.6661 (0.6364)\tPrec@1 85.547 (83.594)\n",
      "Test: [130/157]\tTime 0.169 (0.164)\tLoss 0.5692 (0.6330)\tPrec@1 82.812 (83.612)\n",
      "Test: [140/157]\tTime 0.155 (0.164)\tLoss 0.5261 (0.6300)\tPrec@1 82.812 (83.627)\n",
      "Test: [150/157]\tTime 0.151 (0.164)\tLoss 0.5146 (0.6310)\tPrec@1 85.938 (83.625)\n",
      " * Prec@1 83.620\n",
      "Epoch: [40][0/118]\tTime 0.279 (0.279)\tLoss 0.1188 (0.1188)\tPrec@1 97.266 (97.266)\n",
      "Epoch: [40][10/118]\tTime 0.550 (0.537)\tLoss 0.1367 (0.0784)\tPrec@1 96.875 (97.798)\n",
      "Epoch: [40][20/118]\tTime 0.540 (0.547)\tLoss 0.0426 (0.0630)\tPrec@1 98.438 (98.251)\n",
      "Epoch: [40][30/118]\tTime 0.539 (0.554)\tLoss 0.0169 (0.0562)\tPrec@1 99.609 (98.311)\n",
      "Epoch: [40][40/118]\tTime 0.634 (0.555)\tLoss 0.0349 (0.0525)\tPrec@1 99.219 (98.390)\n",
      "Epoch: [40][50/118]\tTime 0.506 (0.557)\tLoss 0.0348 (0.0487)\tPrec@1 98.828 (98.499)\n",
      "Epoch: [40][60/118]\tTime 0.528 (0.556)\tLoss 0.0530 (0.0457)\tPrec@1 98.438 (98.566)\n",
      "Epoch: [40][70/118]\tTime 0.621 (0.560)\tLoss 0.0558 (0.0460)\tPrec@1 98.438 (98.570)\n",
      "Epoch: [40][80/118]\tTime 0.567 (0.558)\tLoss 0.0139 (0.0456)\tPrec@1 100.000 (98.563)\n",
      "Epoch: [40][90/118]\tTime 0.603 (0.558)\tLoss 0.0315 (0.0445)\tPrec@1 99.219 (98.575)\n",
      "Epoch: [40][100/118]\tTime 0.562 (0.557)\tLoss 0.0330 (0.0443)\tPrec@1 99.219 (98.588)\n",
      "Epoch: [40][110/118]\tTime 0.553 (0.559)\tLoss 0.0335 (0.0434)\tPrec@1 98.047 (98.592)\n",
      "Test: [0/157]\tTime 0.320 (0.320)\tLoss 0.4976 (0.4976)\tPrec@1 84.766 (84.766)\n",
      "Test: [10/157]\tTime 0.154 (0.178)\tLoss 0.4299 (0.4284)\tPrec@1 89.844 (88.246)\n",
      "Test: [20/157]\tTime 0.159 (0.171)\tLoss 0.4714 (0.4440)\tPrec@1 87.109 (87.909)\n",
      "Test: [30/157]\tTime 0.153 (0.168)\tLoss 0.2860 (0.4519)\tPrec@1 91.406 (88.017)\n",
      "Test: [40/157]\tTime 0.161 (0.166)\tLoss 0.3161 (0.4442)\tPrec@1 91.797 (88.367)\n",
      "Test: [50/157]\tTime 0.151 (0.165)\tLoss 0.3493 (0.4319)\tPrec@1 91.016 (88.618)\n",
      "Test: [60/157]\tTime 0.160 (0.165)\tLoss 0.4975 (0.4395)\tPrec@1 87.891 (88.441)\n",
      "Test: [70/157]\tTime 0.160 (0.165)\tLoss 0.4506 (0.4403)\tPrec@1 89.844 (88.435)\n",
      "Test: [80/157]\tTime 0.159 (0.164)\tLoss 0.5851 (0.4431)\tPrec@1 85.156 (88.354)\n",
      "Test: [90/157]\tTime 0.150 (0.164)\tLoss 0.4643 (0.4420)\tPrec@1 90.625 (88.526)\n",
      "Test: [100/157]\tTime 0.143 (0.163)\tLoss 0.4288 (0.4360)\tPrec@1 85.547 (88.660)\n",
      "Test: [110/157]\tTime 0.149 (0.162)\tLoss 0.4581 (0.4405)\tPrec@1 87.500 (88.598)\n",
      "Test: [120/157]\tTime 0.155 (0.162)\tLoss 0.4444 (0.4405)\tPrec@1 88.281 (88.552)\n",
      "Test: [130/157]\tTime 0.185 (0.162)\tLoss 0.4678 (0.4372)\tPrec@1 85.156 (88.591)\n",
      "Test: [140/157]\tTime 0.146 (0.162)\tLoss 0.4228 (0.4359)\tPrec@1 89.453 (88.611)\n",
      "Test: [150/157]\tTime 0.157 (0.161)\tLoss 0.4580 (0.4375)\tPrec@1 88.281 (88.605)\n",
      " * Prec@1 88.642\n",
      "Epoch: [41][0/118]\tTime 0.259 (0.259)\tLoss 0.0474 (0.0474)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [41][10/118]\tTime 0.602 (0.526)\tLoss 0.0185 (0.0459)\tPrec@1 99.609 (98.615)\n",
      "Epoch: [41][20/118]\tTime 0.532 (0.543)\tLoss 0.0351 (0.0439)\tPrec@1 98.047 (98.679)\n",
      "Epoch: [41][30/118]\tTime 0.539 (0.551)\tLoss 0.0346 (0.0405)\tPrec@1 99.219 (98.853)\n",
      "Epoch: [41][40/118]\tTime 0.538 (0.553)\tLoss 0.0223 (0.0401)\tPrec@1 99.609 (98.847)\n",
      "Epoch: [41][50/118]\tTime 0.562 (0.552)\tLoss 0.0461 (0.0389)\tPrec@1 98.438 (98.843)\n",
      "Epoch: [41][60/118]\tTime 0.591 (0.555)\tLoss 0.0185 (0.0380)\tPrec@1 99.219 (98.835)\n",
      "Epoch: [41][70/118]\tTime 0.527 (0.554)\tLoss 0.0066 (0.0371)\tPrec@1 100.000 (98.856)\n",
      "Epoch: [41][80/118]\tTime 0.623 (0.554)\tLoss 0.0208 (0.0360)\tPrec@1 99.219 (98.891)\n",
      "Epoch: [41][90/118]\tTime 0.578 (0.555)\tLoss 0.0297 (0.0355)\tPrec@1 99.219 (98.893)\n",
      "Epoch: [41][100/118]\tTime 0.564 (0.555)\tLoss 0.0390 (0.0358)\tPrec@1 97.656 (98.867)\n",
      "Epoch: [41][110/118]\tTime 0.578 (0.556)\tLoss 0.0282 (0.0364)\tPrec@1 99.219 (98.849)\n",
      "Test: [0/157]\tTime 0.316 (0.316)\tLoss 0.6185 (0.6185)\tPrec@1 85.156 (85.156)\n",
      "Test: [10/157]\tTime 0.145 (0.173)\tLoss 0.6230 (0.5744)\tPrec@1 86.328 (86.293)\n",
      "Test: [20/157]\tTime 0.152 (0.165)\tLoss 0.4602 (0.5707)\tPrec@1 85.938 (86.161)\n",
      "Test: [30/157]\tTime 0.156 (0.165)\tLoss 0.7567 (0.5701)\tPrec@1 82.812 (86.202)\n",
      "Test: [40/157]\tTime 0.156 (0.165)\tLoss 0.6120 (0.5777)\tPrec@1 86.328 (85.947)\n",
      "Test: [50/157]\tTime 0.150 (0.164)\tLoss 0.7641 (0.5768)\tPrec@1 81.250 (85.968)\n",
      "Test: [60/157]\tTime 0.164 (0.164)\tLoss 0.6763 (0.5862)\tPrec@1 84.766 (85.848)\n",
      "Test: [70/157]\tTime 0.154 (0.164)\tLoss 0.4739 (0.5852)\tPrec@1 89.453 (85.860)\n",
      "Test: [80/157]\tTime 0.153 (0.163)\tLoss 0.6379 (0.5834)\tPrec@1 83.984 (85.846)\n",
      "Test: [90/157]\tTime 0.160 (0.163)\tLoss 0.5571 (0.5835)\tPrec@1 85.938 (85.882)\n",
      "Test: [100/157]\tTime 0.154 (0.162)\tLoss 0.5050 (0.5822)\tPrec@1 87.891 (85.922)\n",
      "Test: [110/157]\tTime 0.165 (0.161)\tLoss 0.5391 (0.5840)\tPrec@1 85.938 (85.846)\n",
      "Test: [120/157]\tTime 0.146 (0.161)\tLoss 0.5425 (0.5860)\tPrec@1 85.938 (85.783)\n",
      "Test: [130/157]\tTime 0.157 (0.160)\tLoss 0.5359 (0.5925)\tPrec@1 87.109 (85.669)\n",
      "Test: [140/157]\tTime 0.156 (0.160)\tLoss 0.7418 (0.5930)\tPrec@1 83.203 (85.702)\n",
      "Test: [150/157]\tTime 0.153 (0.160)\tLoss 0.5662 (0.5970)\tPrec@1 86.719 (85.617)\n",
      " * Prec@1 85.642\n",
      "Epoch: [42][0/118]\tTime 0.288 (0.288)\tLoss 0.0451 (0.0451)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [42][10/118]\tTime 0.571 (0.529)\tLoss 0.0484 (0.0487)\tPrec@1 98.828 (98.295)\n",
      "Epoch: [42][20/118]\tTime 0.526 (0.541)\tLoss 0.0255 (0.0411)\tPrec@1 99.609 (98.642)\n",
      "Epoch: [42][30/118]\tTime 0.541 (0.542)\tLoss 0.0278 (0.0411)\tPrec@1 99.609 (98.677)\n",
      "Epoch: [42][40/118]\tTime 0.551 (0.550)\tLoss 0.0189 (0.0409)\tPrec@1 99.219 (98.647)\n",
      "Epoch: [42][50/118]\tTime 0.564 (0.554)\tLoss 0.0268 (0.0403)\tPrec@1 99.219 (98.652)\n",
      "Epoch: [42][60/118]\tTime 0.599 (0.555)\tLoss 0.0555 (0.0405)\tPrec@1 98.047 (98.642)\n",
      "Epoch: [42][70/118]\tTime 0.543 (0.559)\tLoss 0.0525 (0.0409)\tPrec@1 98.047 (98.608)\n",
      "Epoch: [42][80/118]\tTime 0.531 (0.559)\tLoss 0.0221 (0.0395)\tPrec@1 99.219 (98.674)\n",
      "Epoch: [42][90/118]\tTime 0.552 (0.560)\tLoss 0.0158 (0.0384)\tPrec@1 99.609 (98.721)\n",
      "Epoch: [42][100/118]\tTime 0.537 (0.560)\tLoss 0.0337 (0.0382)\tPrec@1 99.219 (98.735)\n",
      "Epoch: [42][110/118]\tTime 0.599 (0.560)\tLoss 0.0775 (0.0380)\tPrec@1 96.875 (98.740)\n",
      "Test: [0/157]\tTime 0.341 (0.341)\tLoss 0.4341 (0.4341)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.184 (0.174)\tLoss 0.4731 (0.4456)\tPrec@1 87.109 (89.276)\n",
      "Test: [20/157]\tTime 0.161 (0.169)\tLoss 0.5933 (0.4676)\tPrec@1 85.547 (88.821)\n",
      "Test: [30/157]\tTime 0.159 (0.165)\tLoss 0.5883 (0.4787)\tPrec@1 87.891 (88.722)\n",
      "Test: [40/157]\tTime 0.163 (0.164)\tLoss 0.4211 (0.4704)\tPrec@1 85.547 (88.796)\n",
      "Test: [50/157]\tTime 0.154 (0.163)\tLoss 0.4206 (0.4680)\tPrec@1 89.844 (88.787)\n",
      "Test: [60/157]\tTime 0.152 (0.163)\tLoss 0.4794 (0.4750)\tPrec@1 89.062 (88.723)\n",
      "Test: [70/157]\tTime 0.149 (0.162)\tLoss 0.4349 (0.4716)\tPrec@1 89.844 (88.793)\n",
      "Test: [80/157]\tTime 0.161 (0.162)\tLoss 0.6279 (0.4813)\tPrec@1 88.281 (88.686)\n",
      "Test: [90/157]\tTime 0.159 (0.162)\tLoss 0.3545 (0.4813)\tPrec@1 90.625 (88.676)\n",
      "Test: [100/157]\tTime 0.150 (0.162)\tLoss 0.5332 (0.4780)\tPrec@1 87.500 (88.811)\n",
      "Test: [110/157]\tTime 0.154 (0.162)\tLoss 0.3637 (0.4774)\tPrec@1 92.188 (88.823)\n",
      "Test: [120/157]\tTime 0.166 (0.161)\tLoss 0.7608 (0.4833)\tPrec@1 85.938 (88.685)\n",
      "Test: [130/157]\tTime 0.200 (0.161)\tLoss 0.3191 (0.4816)\tPrec@1 91.406 (88.714)\n",
      "Test: [140/157]\tTime 0.155 (0.161)\tLoss 0.3239 (0.4798)\tPrec@1 89.453 (88.686)\n",
      "Test: [150/157]\tTime 0.194 (0.162)\tLoss 0.5228 (0.4820)\tPrec@1 87.500 (88.682)\n",
      " * Prec@1 88.685\n",
      "Epoch: [43][0/118]\tTime 0.281 (0.281)\tLoss 0.0301 (0.0301)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [43][10/118]\tTime 0.566 (0.524)\tLoss 0.0739 (0.0356)\tPrec@1 97.656 (98.686)\n",
      "Epoch: [43][20/118]\tTime 0.530 (0.540)\tLoss 0.0376 (0.0334)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [43][30/118]\tTime 0.566 (0.542)\tLoss 0.0370 (0.0348)\tPrec@1 99.219 (98.853)\n",
      "Epoch: [43][40/118]\tTime 0.550 (0.547)\tLoss 0.0322 (0.0342)\tPrec@1 99.219 (98.876)\n",
      "Epoch: [43][50/118]\tTime 0.546 (0.553)\tLoss 0.0251 (0.0341)\tPrec@1 98.828 (98.928)\n",
      "Epoch: [43][60/118]\tTime 0.610 (0.556)\tLoss 0.0468 (0.0337)\tPrec@1 98.438 (98.911)\n",
      "Epoch: [43][70/118]\tTime 0.563 (0.556)\tLoss 0.0201 (0.0329)\tPrec@1 99.609 (98.960)\n",
      "Epoch: [43][80/118]\tTime 0.638 (0.556)\tLoss 0.0142 (0.0320)\tPrec@1 99.609 (99.007)\n",
      "Epoch: [43][90/118]\tTime 0.539 (0.556)\tLoss 0.0265 (0.0322)\tPrec@1 99.219 (98.978)\n",
      "Epoch: [43][100/118]\tTime 0.592 (0.557)\tLoss 0.0310 (0.0319)\tPrec@1 99.219 (98.979)\n",
      "Epoch: [43][110/118]\tTime 0.593 (0.557)\tLoss 0.0496 (0.0336)\tPrec@1 98.828 (98.923)\n",
      "Test: [0/157]\tTime 0.335 (0.335)\tLoss 0.3663 (0.3663)\tPrec@1 89.844 (89.844)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [10/157]\tTime 0.184 (0.173)\tLoss 0.4050 (0.3694)\tPrec@1 89.844 (90.234)\n",
      "Test: [20/157]\tTime 0.153 (0.167)\tLoss 0.4029 (0.3779)\tPrec@1 90.234 (89.974)\n",
      "Test: [30/157]\tTime 0.149 (0.166)\tLoss 0.1655 (0.3804)\tPrec@1 94.141 (89.932)\n",
      "Test: [40/157]\tTime 0.154 (0.164)\tLoss 0.2847 (0.3762)\tPrec@1 92.578 (89.996)\n",
      "Test: [50/157]\tTime 0.152 (0.163)\tLoss 0.3198 (0.3725)\tPrec@1 91.797 (90.112)\n",
      "Test: [60/157]\tTime 0.191 (0.162)\tLoss 0.3926 (0.3696)\tPrec@1 89.844 (90.202)\n",
      "Test: [70/157]\tTime 0.155 (0.162)\tLoss 0.2721 (0.3710)\tPrec@1 92.188 (90.119)\n",
      "Test: [80/157]\tTime 0.154 (0.162)\tLoss 0.5385 (0.3697)\tPrec@1 86.719 (90.143)\n",
      "Test: [90/157]\tTime 0.153 (0.163)\tLoss 0.2523 (0.3713)\tPrec@1 93.359 (90.183)\n",
      "Test: [100/157]\tTime 0.172 (0.163)\tLoss 0.2444 (0.3721)\tPrec@1 90.625 (90.118)\n",
      "Test: [110/157]\tTime 0.164 (0.163)\tLoss 0.3880 (0.3730)\tPrec@1 89.844 (90.153)\n",
      "Test: [120/157]\tTime 0.159 (0.163)\tLoss 0.3994 (0.3718)\tPrec@1 89.453 (90.234)\n",
      "Test: [130/157]\tTime 0.171 (0.163)\tLoss 0.3986 (0.3751)\tPrec@1 89.844 (90.178)\n",
      "Test: [140/157]\tTime 0.165 (0.163)\tLoss 0.3019 (0.3731)\tPrec@1 91.406 (90.207)\n",
      "Test: [150/157]\tTime 0.161 (0.163)\tLoss 0.3633 (0.3736)\tPrec@1 89.844 (90.193)\n",
      " * Prec@1 90.180\n",
      "Epoch: [44][0/118]\tTime 0.266 (0.266)\tLoss 0.0299 (0.0299)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [44][10/118]\tTime 0.568 (0.540)\tLoss 0.0124 (0.0311)\tPrec@1 100.000 (99.148)\n",
      "Epoch: [44][20/118]\tTime 0.619 (0.599)\tLoss 0.0269 (0.0266)\tPrec@1 99.219 (99.256)\n",
      "Epoch: [44][30/118]\tTime 0.517 (0.584)\tLoss 0.0134 (0.0263)\tPrec@1 99.609 (99.219)\n",
      "Epoch: [44][40/118]\tTime 0.525 (0.577)\tLoss 0.0120 (0.0285)\tPrec@1 99.609 (99.152)\n",
      "Epoch: [44][50/118]\tTime 0.517 (0.574)\tLoss 0.0418 (0.0279)\tPrec@1 98.828 (99.180)\n",
      "Epoch: [44][60/118]\tTime 0.535 (0.571)\tLoss 0.0202 (0.0275)\tPrec@1 98.828 (99.161)\n",
      "Epoch: [44][70/118]\tTime 0.561 (0.569)\tLoss 0.0103 (0.0271)\tPrec@1 100.000 (99.180)\n",
      "Epoch: [44][80/118]\tTime 0.540 (0.570)\tLoss 0.0343 (0.0281)\tPrec@1 98.438 (99.103)\n",
      "Epoch: [44][90/118]\tTime 0.601 (0.570)\tLoss 0.0404 (0.0291)\tPrec@1 98.828 (99.081)\n",
      "Epoch: [44][100/118]\tTime 0.597 (0.571)\tLoss 0.0171 (0.0303)\tPrec@1 99.219 (99.041)\n",
      "Epoch: [44][110/118]\tTime 0.540 (0.570)\tLoss 0.0249 (0.0308)\tPrec@1 99.219 (99.039)\n",
      "Test: [0/157]\tTime 0.297 (0.297)\tLoss 0.4316 (0.4316)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.174 (0.175)\tLoss 0.5264 (0.4777)\tPrec@1 88.672 (88.317)\n",
      "Test: [20/157]\tTime 0.150 (0.165)\tLoss 0.4060 (0.4735)\tPrec@1 88.672 (88.263)\n",
      "Test: [30/157]\tTime 0.151 (0.164)\tLoss 0.4060 (0.4656)\tPrec@1 89.844 (88.168)\n",
      "Test: [40/157]\tTime 0.157 (0.162)\tLoss 0.3341 (0.4645)\tPrec@1 89.844 (88.262)\n",
      "Test: [50/157]\tTime 0.169 (0.162)\tLoss 0.3971 (0.4620)\tPrec@1 89.844 (88.358)\n",
      "Test: [60/157]\tTime 0.149 (0.162)\tLoss 0.4442 (0.4653)\tPrec@1 90.234 (88.352)\n",
      "Test: [70/157]\tTime 0.156 (0.163)\tLoss 0.5983 (0.4665)\tPrec@1 85.547 (88.281)\n",
      "Test: [80/157]\tTime 0.158 (0.163)\tLoss 0.5277 (0.4655)\tPrec@1 87.500 (88.325)\n",
      "Test: [90/157]\tTime 0.161 (0.163)\tLoss 0.4823 (0.4649)\tPrec@1 87.500 (88.286)\n",
      "Test: [100/157]\tTime 0.166 (0.164)\tLoss 0.4012 (0.4616)\tPrec@1 87.891 (88.231)\n",
      "Test: [110/157]\tTime 0.160 (0.163)\tLoss 0.4082 (0.4605)\tPrec@1 88.281 (88.253)\n",
      "Test: [120/157]\tTime 0.183 (0.163)\tLoss 0.4685 (0.4614)\tPrec@1 90.625 (88.275)\n",
      "Test: [130/157]\tTime 0.178 (0.163)\tLoss 0.4576 (0.4628)\tPrec@1 88.672 (88.260)\n",
      "Test: [140/157]\tTime 0.151 (0.162)\tLoss 0.5779 (0.4633)\tPrec@1 86.719 (88.267)\n",
      "Test: [150/157]\tTime 0.156 (0.162)\tLoss 0.4446 (0.4625)\tPrec@1 89.062 (88.310)\n",
      " * Prec@1 88.287\n",
      "Epoch: [45][0/118]\tTime 0.282 (0.282)\tLoss 0.0333 (0.0333)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [45][10/118]\tTime 0.519 (0.520)\tLoss 0.0653 (0.0356)\tPrec@1 96.875 (98.580)\n",
      "Epoch: [45][20/118]\tTime 0.568 (0.539)\tLoss 0.0129 (0.0347)\tPrec@1 100.000 (98.772)\n",
      "Epoch: [45][30/118]\tTime 0.551 (0.548)\tLoss 0.0064 (0.0319)\tPrec@1 100.000 (98.853)\n",
      "Epoch: [45][40/118]\tTime 0.571 (0.555)\tLoss 0.0615 (0.0322)\tPrec@1 98.438 (98.857)\n",
      "Epoch: [45][50/118]\tTime 0.584 (0.557)\tLoss 0.0207 (0.0331)\tPrec@1 99.609 (98.836)\n",
      "Epoch: [45][60/118]\tTime 0.545 (0.555)\tLoss 0.0101 (0.0326)\tPrec@1 99.609 (98.886)\n",
      "Epoch: [45][70/118]\tTime 0.605 (0.559)\tLoss 0.0208 (0.0337)\tPrec@1 99.609 (98.878)\n",
      "Epoch: [45][80/118]\tTime 0.558 (0.561)\tLoss 0.0602 (0.0336)\tPrec@1 97.656 (98.872)\n",
      "Epoch: [45][90/118]\tTime 0.586 (0.561)\tLoss 0.0657 (0.0342)\tPrec@1 98.438 (98.862)\n",
      "Epoch: [45][100/118]\tTime 0.542 (0.561)\tLoss 0.0252 (0.0342)\tPrec@1 99.219 (98.871)\n",
      "Epoch: [45][110/118]\tTime 0.538 (0.560)\tLoss 0.0191 (0.0349)\tPrec@1 99.219 (98.807)\n",
      "Test: [0/157]\tTime 0.395 (0.395)\tLoss 0.3875 (0.3875)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.163 (0.191)\tLoss 0.4497 (0.4508)\tPrec@1 88.672 (88.210)\n",
      "Test: [20/157]\tTime 0.151 (0.179)\tLoss 0.4917 (0.4531)\tPrec@1 88.281 (88.021)\n",
      "Test: [30/157]\tTime 0.184 (0.173)\tLoss 0.3158 (0.4458)\tPrec@1 90.234 (88.054)\n",
      "Test: [40/157]\tTime 0.179 (0.169)\tLoss 0.4732 (0.4536)\tPrec@1 88.672 (87.719)\n",
      "Test: [50/157]\tTime 0.147 (0.167)\tLoss 0.4371 (0.4561)\tPrec@1 88.281 (87.745)\n",
      "Test: [60/157]\tTime 0.152 (0.166)\tLoss 0.5703 (0.4599)\tPrec@1 85.547 (87.666)\n",
      "Test: [70/157]\tTime 0.166 (0.166)\tLoss 0.3074 (0.4618)\tPrec@1 92.578 (87.643)\n",
      "Test: [80/157]\tTime 0.159 (0.165)\tLoss 0.5351 (0.4604)\tPrec@1 84.766 (87.558)\n",
      "Test: [90/157]\tTime 0.170 (0.165)\tLoss 0.4472 (0.4655)\tPrec@1 87.500 (87.466)\n",
      "Test: [100/157]\tTime 0.151 (0.164)\tLoss 0.3138 (0.4654)\tPrec@1 91.016 (87.531)\n",
      "Test: [110/157]\tTime 0.188 (0.164)\tLoss 0.5541 (0.4686)\tPrec@1 84.766 (87.458)\n",
      "Test: [120/157]\tTime 0.153 (0.163)\tLoss 0.6325 (0.4693)\tPrec@1 85.938 (87.490)\n",
      "Test: [130/157]\tTime 0.152 (0.163)\tLoss 0.4887 (0.4707)\tPrec@1 85.547 (87.470)\n",
      "Test: [140/157]\tTime 0.158 (0.164)\tLoss 0.4414 (0.4719)\tPrec@1 87.891 (87.456)\n",
      "Test: [150/157]\tTime 0.148 (0.164)\tLoss 0.3813 (0.4735)\tPrec@1 88.672 (87.415)\n",
      " * Prec@1 87.430\n",
      "Epoch: [46][0/118]\tTime 0.297 (0.297)\tLoss 0.0557 (0.0557)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [46][10/118]\tTime 0.533 (0.551)\tLoss 0.0573 (0.0445)\tPrec@1 97.266 (98.615)\n",
      "Epoch: [46][20/118]\tTime 0.592 (0.562)\tLoss 0.0161 (0.0439)\tPrec@1 99.609 (98.772)\n",
      "Epoch: [46][30/118]\tTime 0.575 (0.564)\tLoss 0.0295 (0.0408)\tPrec@1 99.219 (98.841)\n",
      "Epoch: [46][40/118]\tTime 0.603 (0.564)\tLoss 0.0140 (0.0375)\tPrec@1 100.000 (98.895)\n",
      "Epoch: [46][50/118]\tTime 0.579 (0.574)\tLoss 0.0158 (0.0355)\tPrec@1 99.609 (98.958)\n",
      "Epoch: [46][60/118]\tTime 0.638 (0.573)\tLoss 0.0232 (0.0345)\tPrec@1 99.609 (99.001)\n",
      "Epoch: [46][70/118]\tTime 0.516 (0.570)\tLoss 0.0327 (0.0338)\tPrec@1 98.828 (98.982)\n",
      "Epoch: [46][80/118]\tTime 0.590 (0.570)\tLoss 0.0415 (0.0345)\tPrec@1 97.656 (98.900)\n",
      "Epoch: [46][90/118]\tTime 0.517 (0.567)\tLoss 0.0466 (0.0353)\tPrec@1 98.828 (98.850)\n",
      "Epoch: [46][100/118]\tTime 0.543 (0.566)\tLoss 0.0745 (0.0364)\tPrec@1 96.875 (98.797)\n",
      "Epoch: [46][110/118]\tTime 0.557 (0.565)\tLoss 0.0531 (0.0375)\tPrec@1 98.438 (98.754)\n",
      "Test: [0/157]\tTime 0.309 (0.309)\tLoss 0.8388 (0.8388)\tPrec@1 80.078 (80.078)\n",
      "Test: [10/157]\tTime 0.186 (0.171)\tLoss 0.6865 (0.8339)\tPrec@1 82.812 (81.321)\n",
      "Test: [20/157]\tTime 0.163 (0.165)\tLoss 0.7041 (0.7922)\tPrec@1 82.812 (82.143)\n",
      "Test: [30/157]\tTime 0.146 (0.165)\tLoss 0.6548 (0.7775)\tPrec@1 83.984 (82.170)\n",
      "Test: [40/157]\tTime 0.168 (0.162)\tLoss 0.8338 (0.7931)\tPrec@1 83.594 (81.879)\n",
      "Test: [50/157]\tTime 0.151 (0.164)\tLoss 0.6593 (0.7954)\tPrec@1 83.203 (81.748)\n",
      "Test: [60/157]\tTime 0.169 (0.164)\tLoss 0.7111 (0.7920)\tPrec@1 81.250 (81.788)\n",
      "Test: [70/157]\tTime 0.147 (0.163)\tLoss 0.6396 (0.7941)\tPrec@1 84.375 (81.932)\n",
      "Test: [80/157]\tTime 0.155 (0.162)\tLoss 0.8192 (0.7949)\tPrec@1 83.984 (81.978)\n",
      "Test: [90/157]\tTime 0.155 (0.162)\tLoss 0.9757 (0.8054)\tPrec@1 78.906 (81.739)\n",
      "Test: [100/157]\tTime 0.158 (0.162)\tLoss 0.5688 (0.8042)\tPrec@1 85.547 (81.706)\n",
      "Test: [110/157]\tTime 0.157 (0.161)\tLoss 0.6426 (0.7970)\tPrec@1 86.719 (81.810)\n",
      "Test: [120/157]\tTime 0.188 (0.162)\tLoss 0.7187 (0.7919)\tPrec@1 84.766 (81.925)\n",
      "Test: [130/157]\tTime 0.156 (0.161)\tLoss 0.8354 (0.7967)\tPrec@1 80.078 (81.882)\n",
      "Test: [140/157]\tTime 0.155 (0.161)\tLoss 0.9600 (0.7999)\tPrec@1 78.516 (81.843)\n",
      "Test: [150/157]\tTime 0.153 (0.161)\tLoss 0.7928 (0.7987)\tPrec@1 80.859 (81.902)\n",
      " * Prec@1 81.948\n",
      "Epoch: [47][0/118]\tTime 0.283 (0.283)\tLoss 0.0724 (0.0724)\tPrec@1 96.875 (96.875)\n",
      "Epoch: [47][10/118]\tTime 0.519 (0.523)\tLoss 0.1078 (0.0928)\tPrec@1 94.922 (96.733)\n",
      "Epoch: [47][20/118]\tTime 0.554 (0.538)\tLoss 0.0571 (0.0847)\tPrec@1 97.656 (97.117)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [47][30/118]\tTime 0.534 (0.544)\tLoss 0.0573 (0.0747)\tPrec@1 98.047 (97.543)\n",
      "Epoch: [47][40/118]\tTime 0.540 (0.547)\tLoss 0.0534 (0.0661)\tPrec@1 97.656 (97.866)\n",
      "Epoch: [47][50/118]\tTime 0.537 (0.549)\tLoss 0.0363 (0.0611)\tPrec@1 98.828 (98.032)\n",
      "Epoch: [47][60/118]\tTime 0.536 (0.548)\tLoss 0.0872 (0.0623)\tPrec@1 97.266 (97.944)\n",
      "Epoch: [47][70/118]\tTime 0.533 (0.549)\tLoss 0.0696 (0.0616)\tPrec@1 97.266 (97.942)\n",
      "Epoch: [47][80/118]\tTime 0.534 (0.549)\tLoss 0.0525 (0.0605)\tPrec@1 97.656 (97.950)\n",
      "Epoch: [47][90/118]\tTime 0.544 (0.552)\tLoss 0.0226 (0.0590)\tPrec@1 99.219 (98.043)\n",
      "Epoch: [47][100/118]\tTime 0.576 (0.554)\tLoss 0.0191 (0.0574)\tPrec@1 99.609 (98.097)\n",
      "Epoch: [47][110/118]\tTime 0.612 (0.556)\tLoss 0.0139 (0.0556)\tPrec@1 100.000 (98.170)\n",
      "Test: [0/157]\tTime 0.348 (0.348)\tLoss 0.3657 (0.3657)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.155 (0.173)\tLoss 0.4232 (0.4344)\tPrec@1 86.719 (88.352)\n",
      "Test: [20/157]\tTime 0.153 (0.165)\tLoss 0.3781 (0.4246)\tPrec@1 90.234 (88.746)\n",
      "Test: [30/157]\tTime 0.156 (0.162)\tLoss 0.4010 (0.4051)\tPrec@1 89.062 (89.214)\n",
      "Test: [40/157]\tTime 0.146 (0.161)\tLoss 0.4220 (0.3937)\tPrec@1 87.109 (89.453)\n",
      "Test: [50/157]\tTime 0.150 (0.160)\tLoss 0.3543 (0.3891)\tPrec@1 89.844 (89.484)\n",
      "Test: [60/157]\tTime 0.149 (0.161)\tLoss 0.3959 (0.3877)\tPrec@1 88.672 (89.543)\n",
      "Test: [70/157]\tTime 0.158 (0.161)\tLoss 0.3656 (0.3888)\tPrec@1 91.016 (89.541)\n",
      "Test: [80/157]\tTime 0.150 (0.161)\tLoss 0.3588 (0.3907)\tPrec@1 90.234 (89.545)\n",
      "Test: [90/157]\tTime 0.175 (0.161)\tLoss 0.2220 (0.3880)\tPrec@1 92.188 (89.612)\n",
      "Test: [100/157]\tTime 0.153 (0.161)\tLoss 0.3077 (0.3924)\tPrec@1 90.625 (89.519)\n",
      "Test: [110/157]\tTime 0.186 (0.162)\tLoss 0.4103 (0.3959)\tPrec@1 88.672 (89.450)\n",
      "Test: [120/157]\tTime 0.147 (0.162)\tLoss 0.3595 (0.3982)\tPrec@1 89.062 (89.389)\n",
      "Test: [130/157]\tTime 0.145 (0.162)\tLoss 0.2852 (0.3960)\tPrec@1 91.016 (89.420)\n",
      "Test: [140/157]\tTime 0.175 (0.163)\tLoss 0.3935 (0.3954)\tPrec@1 91.016 (89.450)\n",
      "Test: [150/157]\tTime 0.147 (0.163)\tLoss 0.4649 (0.3973)\tPrec@1 88.281 (89.422)\n",
      " * Prec@1 89.460\n",
      "Epoch: [48][0/118]\tTime 0.305 (0.305)\tLoss 0.0542 (0.0542)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [48][10/118]\tTime 0.567 (0.560)\tLoss 0.0551 (0.0759)\tPrec@1 97.266 (97.763)\n",
      "Epoch: [48][20/118]\tTime 0.570 (0.556)\tLoss 0.0403 (0.0631)\tPrec@1 98.828 (98.047)\n",
      "Epoch: [48][30/118]\tTime 0.589 (0.566)\tLoss 0.0202 (0.0546)\tPrec@1 99.219 (98.286)\n",
      "Epoch: [48][40/118]\tTime 0.574 (0.567)\tLoss 0.0480 (0.0505)\tPrec@1 98.828 (98.409)\n",
      "Epoch: [48][50/118]\tTime 0.558 (0.567)\tLoss 0.0185 (0.0462)\tPrec@1 99.609 (98.560)\n",
      "Epoch: [48][60/118]\tTime 0.573 (0.568)\tLoss 0.0573 (0.0435)\tPrec@1 97.656 (98.617)\n",
      "Epoch: [48][70/118]\tTime 0.553 (0.569)\tLoss 0.0461 (0.0424)\tPrec@1 98.047 (98.652)\n",
      "Epoch: [48][80/118]\tTime 0.582 (0.570)\tLoss 0.0331 (0.0413)\tPrec@1 99.219 (98.688)\n",
      "Epoch: [48][90/118]\tTime 0.570 (0.568)\tLoss 0.0514 (0.0408)\tPrec@1 98.047 (98.721)\n",
      "Epoch: [48][100/118]\tTime 0.562 (0.568)\tLoss 0.0439 (0.0409)\tPrec@1 98.438 (98.716)\n",
      "Epoch: [48][110/118]\tTime 0.575 (0.567)\tLoss 0.0207 (0.0399)\tPrec@1 99.219 (98.740)\n",
      "Test: [0/157]\tTime 0.304 (0.304)\tLoss 0.2807 (0.2807)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.154 (0.173)\tLoss 0.3419 (0.3362)\tPrec@1 91.406 (91.655)\n",
      "Test: [20/157]\tTime 0.152 (0.168)\tLoss 0.3430 (0.3597)\tPrec@1 92.188 (91.202)\n",
      "Test: [30/157]\tTime 0.164 (0.167)\tLoss 0.3105 (0.3551)\tPrec@1 91.797 (91.104)\n",
      "Test: [40/157]\tTime 0.192 (0.165)\tLoss 0.4585 (0.3582)\tPrec@1 88.672 (91.016)\n",
      "Test: [50/157]\tTime 0.149 (0.164)\tLoss 0.3616 (0.3641)\tPrec@1 90.625 (90.885)\n",
      "Test: [60/157]\tTime 0.179 (0.164)\tLoss 0.3675 (0.3670)\tPrec@1 91.406 (90.856)\n",
      "Test: [70/157]\tTime 0.156 (0.162)\tLoss 0.4242 (0.3642)\tPrec@1 90.625 (90.944)\n",
      "Test: [80/157]\tTime 0.196 (0.163)\tLoss 0.3812 (0.3642)\tPrec@1 91.016 (90.924)\n",
      "Test: [90/157]\tTime 0.154 (0.163)\tLoss 0.4124 (0.3638)\tPrec@1 91.016 (90.938)\n",
      "Test: [100/157]\tTime 0.154 (0.164)\tLoss 0.5006 (0.3643)\tPrec@1 90.234 (90.938)\n",
      "Test: [110/157]\tTime 0.156 (0.164)\tLoss 0.3825 (0.3640)\tPrec@1 90.234 (90.963)\n",
      "Test: [120/157]\tTime 0.171 (0.163)\tLoss 0.4867 (0.3627)\tPrec@1 88.281 (91.009)\n",
      "Test: [130/157]\tTime 0.179 (0.164)\tLoss 0.3842 (0.3626)\tPrec@1 91.016 (91.034)\n",
      "Test: [140/157]\tTime 0.151 (0.163)\tLoss 0.3196 (0.3645)\tPrec@1 93.359 (91.024)\n",
      "Test: [150/157]\tTime 0.162 (0.164)\tLoss 0.3709 (0.3669)\tPrec@1 89.453 (90.979)\n",
      " * Prec@1 91.015\n",
      "Epoch: [49][0/118]\tTime 0.255 (0.255)\tLoss 0.0216 (0.0216)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [49][10/118]\tTime 0.577 (0.546)\tLoss 0.0391 (0.0262)\tPrec@1 99.219 (99.325)\n",
      "Epoch: [49][20/118]\tTime 0.583 (0.554)\tLoss 0.0219 (0.0283)\tPrec@1 99.219 (99.144)\n",
      "Epoch: [49][30/118]\tTime 0.561 (0.554)\tLoss 0.0110 (0.0247)\tPrec@1 100.000 (99.282)\n",
      "Epoch: [49][40/118]\tTime 0.578 (0.556)\tLoss 0.0189 (0.0240)\tPrec@1 99.219 (99.285)\n",
      "Epoch: [49][50/118]\tTime 0.606 (0.560)\tLoss 0.0226 (0.0244)\tPrec@1 98.828 (99.265)\n",
      "Epoch: [49][60/118]\tTime 0.644 (0.561)\tLoss 0.0339 (0.0238)\tPrec@1 99.219 (99.296)\n",
      "Epoch: [49][70/118]\tTime 0.523 (0.561)\tLoss 0.0285 (0.0235)\tPrec@1 99.609 (99.318)\n",
      "Epoch: [49][80/118]\tTime 0.509 (0.562)\tLoss 0.0243 (0.0233)\tPrec@1 99.219 (99.310)\n",
      "Epoch: [49][90/118]\tTime 0.520 (0.561)\tLoss 0.0449 (0.0230)\tPrec@1 98.828 (99.326)\n",
      "Epoch: [49][100/118]\tTime 0.530 (0.561)\tLoss 0.0195 (0.0234)\tPrec@1 99.219 (99.319)\n",
      "Epoch: [49][110/118]\tTime 0.572 (0.561)\tLoss 0.0281 (0.0237)\tPrec@1 99.219 (99.303)\n",
      "Test: [0/157]\tTime 0.325 (0.325)\tLoss 1.0918 (1.0918)\tPrec@1 73.828 (73.828)\n",
      "Test: [10/157]\tTime 0.156 (0.171)\tLoss 1.0071 (1.0471)\tPrec@1 76.562 (75.568)\n",
      "Test: [20/157]\tTime 0.153 (0.164)\tLoss 1.1788 (1.0926)\tPrec@1 73.047 (74.609)\n",
      "Test: [30/157]\tTime 0.148 (0.163)\tLoss 0.9438 (1.0965)\tPrec@1 77.734 (74.622)\n",
      "Test: [40/157]\tTime 0.147 (0.164)\tLoss 1.2115 (1.0999)\tPrec@1 71.875 (74.362)\n",
      "Test: [50/157]\tTime 0.155 (0.162)\tLoss 1.0301 (1.0986)\tPrec@1 75.781 (74.211)\n",
      "Test: [60/157]\tTime 0.177 (0.163)\tLoss 1.0360 (1.1012)\tPrec@1 74.219 (74.148)\n",
      "Test: [70/157]\tTime 0.152 (0.161)\tLoss 0.9733 (1.1021)\tPrec@1 75.391 (74.202)\n",
      "Test: [80/157]\tTime 0.150 (0.161)\tLoss 1.2418 (1.1082)\tPrec@1 71.484 (74.069)\n",
      "Test: [90/157]\tTime 0.155 (0.161)\tLoss 1.1924 (1.1111)\tPrec@1 71.094 (74.021)\n",
      "Test: [100/157]\tTime 0.152 (0.162)\tLoss 0.8878 (1.1170)\tPrec@1 78.516 (73.933)\n",
      "Test: [110/157]\tTime 0.144 (0.161)\tLoss 1.2480 (1.1133)\tPrec@1 74.219 (74.032)\n",
      "Test: [120/157]\tTime 0.176 (0.162)\tLoss 0.9696 (1.1159)\tPrec@1 76.172 (74.006)\n",
      "Test: [130/157]\tTime 0.153 (0.161)\tLoss 1.1344 (1.1084)\tPrec@1 73.047 (74.183)\n",
      "Test: [140/157]\tTime 0.155 (0.161)\tLoss 1.2762 (1.1089)\tPrec@1 71.875 (74.197)\n",
      "Test: [150/157]\tTime 0.155 (0.161)\tLoss 1.1212 (1.1071)\tPrec@1 72.266 (74.214)\n",
      " * Prec@1 74.168\n",
      "Epoch: [50][0/118]\tTime 0.265 (0.265)\tLoss 0.0298 (0.0298)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [50][10/118]\tTime 0.548 (0.522)\tLoss 0.0625 (0.0457)\tPrec@1 98.438 (98.651)\n",
      "Epoch: [50][20/118]\tTime 0.556 (0.543)\tLoss 0.0334 (0.0480)\tPrec@1 99.609 (98.512)\n",
      "Epoch: [50][30/118]\tTime 0.544 (0.546)\tLoss 0.0599 (0.0477)\tPrec@1 98.047 (98.538)\n",
      "Epoch: [50][40/118]\tTime 0.612 (0.550)\tLoss 0.0272 (0.0438)\tPrec@1 98.828 (98.666)\n",
      "Epoch: [50][50/118]\tTime 0.561 (0.554)\tLoss 0.0371 (0.0425)\tPrec@1 99.219 (98.729)\n",
      "Epoch: [50][60/118]\tTime 0.559 (0.555)\tLoss 0.0297 (0.0405)\tPrec@1 98.438 (98.745)\n",
      "Epoch: [50][70/118]\tTime 0.525 (0.554)\tLoss 0.0519 (0.0400)\tPrec@1 98.438 (98.762)\n",
      "Epoch: [50][80/118]\tTime 0.555 (0.556)\tLoss 0.0329 (0.0393)\tPrec@1 98.438 (98.751)\n",
      "Epoch: [50][90/118]\tTime 0.548 (0.554)\tLoss 0.0648 (0.0396)\tPrec@1 97.656 (98.704)\n",
      "Epoch: [50][100/118]\tTime 0.580 (0.555)\tLoss 0.0574 (0.0398)\tPrec@1 98.047 (98.697)\n",
      "Epoch: [50][110/118]\tTime 0.514 (0.554)\tLoss 0.0266 (0.0397)\tPrec@1 98.438 (98.687)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.8641 (0.8641)\tPrec@1 83.594 (83.594)\n",
      "Test: [10/157]\tTime 0.153 (0.171)\tLoss 1.1762 (1.1282)\tPrec@1 78.125 (79.474)\n",
      "Test: [20/157]\tTime 0.152 (0.164)\tLoss 1.2483 (1.1140)\tPrec@1 76.172 (79.594)\n",
      "Test: [30/157]\tTime 0.160 (0.161)\tLoss 1.2443 (1.1217)\tPrec@1 81.641 (79.738)\n",
      "Test: [40/157]\tTime 0.184 (0.161)\tLoss 1.2030 (1.1423)\tPrec@1 75.391 (79.449)\n",
      "Test: [50/157]\tTime 0.155 (0.160)\tLoss 1.1558 (1.1400)\tPrec@1 82.031 (79.550)\n",
      "Test: [60/157]\tTime 0.188 (0.162)\tLoss 1.0673 (1.1356)\tPrec@1 81.250 (79.681)\n",
      "Test: [70/157]\tTime 0.147 (0.162)\tLoss 1.1290 (1.1355)\tPrec@1 80.859 (79.754)\n",
      "Test: [80/157]\tTime 0.153 (0.162)\tLoss 1.5858 (1.1429)\tPrec@1 75.781 (79.543)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [90/157]\tTime 0.151 (0.162)\tLoss 1.1974 (1.1446)\tPrec@1 80.078 (79.572)\n",
      "Test: [100/157]\tTime 0.152 (0.162)\tLoss 1.0532 (1.1392)\tPrec@1 77.734 (79.629)\n",
      "Test: [110/157]\tTime 0.146 (0.161)\tLoss 0.9578 (1.1362)\tPrec@1 82.812 (79.688)\n",
      "Test: [120/157]\tTime 0.160 (0.161)\tLoss 0.8412 (1.1370)\tPrec@1 85.156 (79.717)\n",
      "Test: [130/157]\tTime 0.148 (0.161)\tLoss 1.0696 (1.1351)\tPrec@1 80.859 (79.795)\n",
      "Test: [140/157]\tTime 0.189 (0.161)\tLoss 1.3419 (1.1362)\tPrec@1 78.125 (79.773)\n",
      "Test: [150/157]\tTime 0.177 (0.161)\tLoss 0.8694 (1.1383)\tPrec@1 83.594 (79.747)\n",
      " * Prec@1 79.748\n",
      "Epoch: [51][0/118]\tTime 0.259 (0.259)\tLoss 0.1229 (0.1229)\tPrec@1 95.703 (95.703)\n",
      "Epoch: [51][10/118]\tTime 0.563 (0.555)\tLoss 0.0958 (0.0973)\tPrec@1 97.656 (96.875)\n",
      "Epoch: [51][20/118]\tTime 0.528 (0.554)\tLoss 0.0614 (0.0872)\tPrec@1 97.656 (97.173)\n",
      "Epoch: [51][30/118]\tTime 0.598 (0.561)\tLoss 0.0580 (0.0806)\tPrec@1 96.875 (97.329)\n",
      "Epoch: [51][40/118]\tTime 0.585 (0.563)\tLoss 0.0383 (0.0728)\tPrec@1 99.219 (97.590)\n",
      "Epoch: [51][50/118]\tTime 0.523 (0.562)\tLoss 0.0844 (0.0660)\tPrec@1 97.656 (97.848)\n",
      "Epoch: [51][60/118]\tTime 0.544 (0.559)\tLoss 0.0200 (0.0597)\tPrec@1 99.609 (98.040)\n",
      "Epoch: [51][70/118]\tTime 0.554 (0.560)\tLoss 0.0182 (0.0548)\tPrec@1 100.000 (98.206)\n",
      "Epoch: [51][80/118]\tTime 0.558 (0.560)\tLoss 0.0315 (0.0508)\tPrec@1 99.219 (98.360)\n",
      "Epoch: [51][90/118]\tTime 0.555 (0.560)\tLoss 0.0627 (0.0485)\tPrec@1 98.828 (98.446)\n",
      "Epoch: [51][100/118]\tTime 0.550 (0.560)\tLoss 0.0094 (0.0463)\tPrec@1 100.000 (98.515)\n",
      "Epoch: [51][110/118]\tTime 0.560 (0.559)\tLoss 0.0306 (0.0450)\tPrec@1 99.219 (98.575)\n",
      "Test: [0/157]\tTime 0.301 (0.301)\tLoss 0.9498 (0.9498)\tPrec@1 77.344 (77.344)\n",
      "Test: [10/157]\tTime 0.182 (0.173)\tLoss 0.8340 (0.9440)\tPrec@1 79.297 (79.545)\n",
      "Test: [20/157]\tTime 0.190 (0.169)\tLoss 0.8186 (0.9299)\tPrec@1 80.859 (79.948)\n",
      "Test: [30/157]\tTime 0.157 (0.164)\tLoss 1.0897 (0.9543)\tPrec@1 77.734 (79.700)\n",
      "Test: [40/157]\tTime 0.190 (0.165)\tLoss 1.0972 (0.9589)\tPrec@1 78.516 (79.707)\n",
      "Test: [50/157]\tTime 0.166 (0.163)\tLoss 0.9697 (0.9520)\tPrec@1 82.422 (79.718)\n",
      "Test: [60/157]\tTime 0.148 (0.162)\tLoss 1.0403 (0.9558)\tPrec@1 78.906 (79.681)\n",
      "Test: [70/157]\tTime 0.153 (0.162)\tLoss 0.8860 (0.9504)\tPrec@1 80.078 (79.737)\n",
      "Test: [80/157]\tTime 0.178 (0.163)\tLoss 0.8565 (0.9488)\tPrec@1 79.297 (79.712)\n",
      "Test: [90/157]\tTime 0.157 (0.163)\tLoss 0.7221 (0.9449)\tPrec@1 83.984 (79.795)\n",
      "Test: [100/157]\tTime 0.153 (0.162)\tLoss 1.0273 (0.9464)\tPrec@1 76.172 (79.699)\n",
      "Test: [110/157]\tTime 0.171 (0.162)\tLoss 0.8338 (0.9442)\tPrec@1 82.031 (79.740)\n",
      "Test: [120/157]\tTime 0.166 (0.161)\tLoss 0.8362 (0.9434)\tPrec@1 79.688 (79.713)\n",
      "Test: [130/157]\tTime 0.187 (0.161)\tLoss 0.9745 (0.9479)\tPrec@1 76.953 (79.661)\n",
      "Test: [140/157]\tTime 0.152 (0.161)\tLoss 0.8464 (0.9459)\tPrec@1 79.688 (79.649)\n",
      "Test: [150/157]\tTime 0.150 (0.161)\tLoss 0.9268 (0.9441)\tPrec@1 78.516 (79.631)\n",
      " * Prec@1 79.585\n",
      "Epoch: [52][0/118]\tTime 0.264 (0.264)\tLoss 0.1259 (0.1259)\tPrec@1 96.094 (96.094)\n",
      "Epoch: [52][10/118]\tTime 0.580 (0.531)\tLoss 0.0624 (0.0921)\tPrec@1 97.266 (97.159)\n",
      "Epoch: [52][20/118]\tTime 0.536 (0.547)\tLoss 0.1521 (0.0904)\tPrec@1 94.922 (96.987)\n",
      "Epoch: [52][30/118]\tTime 0.582 (0.552)\tLoss 0.0854 (0.0844)\tPrec@1 98.047 (97.291)\n",
      "Epoch: [52][40/118]\tTime 0.521 (0.553)\tLoss 0.0308 (0.0793)\tPrec@1 98.828 (97.409)\n",
      "Epoch: [52][50/118]\tTime 0.584 (0.557)\tLoss 0.0532 (0.0751)\tPrec@1 98.828 (97.541)\n",
      "Epoch: [52][60/118]\tTime 0.577 (0.557)\tLoss 0.0442 (0.0712)\tPrec@1 98.438 (97.618)\n",
      "Epoch: [52][70/118]\tTime 0.559 (0.561)\tLoss 0.0552 (0.0673)\tPrec@1 98.047 (97.755)\n",
      "Epoch: [52][80/118]\tTime 0.614 (0.561)\tLoss 0.0255 (0.0637)\tPrec@1 99.219 (97.917)\n",
      "Epoch: [52][90/118]\tTime 0.531 (0.565)\tLoss 0.0345 (0.0604)\tPrec@1 98.828 (98.025)\n",
      "Epoch: [52][100/118]\tTime 0.604 (0.567)\tLoss 0.0281 (0.0590)\tPrec@1 99.609 (98.043)\n",
      "Epoch: [52][110/118]\tTime 0.550 (0.567)\tLoss 0.0373 (0.0564)\tPrec@1 98.828 (98.142)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.4069 (0.4069)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.160 (0.173)\tLoss 0.6340 (0.4734)\tPrec@1 84.375 (88.068)\n",
      "Test: [20/157]\tTime 0.143 (0.165)\tLoss 0.3097 (0.4632)\tPrec@1 90.234 (88.356)\n",
      "Test: [30/157]\tTime 0.156 (0.164)\tLoss 0.4029 (0.4521)\tPrec@1 90.234 (88.571)\n",
      "Test: [40/157]\tTime 0.156 (0.162)\tLoss 0.5439 (0.4521)\tPrec@1 86.328 (88.729)\n",
      "Test: [50/157]\tTime 0.183 (0.161)\tLoss 0.3687 (0.4539)\tPrec@1 90.234 (88.649)\n",
      "Test: [60/157]\tTime 0.154 (0.160)\tLoss 0.4669 (0.4513)\tPrec@1 88.281 (88.749)\n",
      "Test: [70/157]\tTime 0.173 (0.161)\tLoss 0.4853 (0.4539)\tPrec@1 89.844 (88.716)\n",
      "Test: [80/157]\tTime 0.167 (0.162)\tLoss 0.3490 (0.4458)\tPrec@1 90.625 (88.826)\n",
      "Test: [90/157]\tTime 0.153 (0.162)\tLoss 0.3927 (0.4453)\tPrec@1 88.672 (88.822)\n",
      "Test: [100/157]\tTime 0.160 (0.161)\tLoss 0.4197 (0.4489)\tPrec@1 87.500 (88.730)\n",
      "Test: [110/157]\tTime 0.189 (0.161)\tLoss 0.5078 (0.4459)\tPrec@1 86.328 (88.781)\n",
      "Test: [120/157]\tTime 0.157 (0.160)\tLoss 0.3527 (0.4446)\tPrec@1 89.062 (88.811)\n",
      "Test: [130/157]\tTime 0.167 (0.160)\tLoss 0.5422 (0.4444)\tPrec@1 88.281 (88.839)\n",
      "Test: [140/157]\tTime 0.155 (0.160)\tLoss 0.3958 (0.4445)\tPrec@1 88.281 (88.824)\n",
      "Test: [150/157]\tTime 0.155 (0.160)\tLoss 0.4938 (0.4440)\tPrec@1 88.281 (88.814)\n",
      " * Prec@1 88.795\n",
      "Epoch: [53][0/118]\tTime 0.265 (0.265)\tLoss 0.0434 (0.0434)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [53][10/118]\tTime 0.507 (0.535)\tLoss 0.0606 (0.0428)\tPrec@1 98.047 (98.580)\n",
      "Epoch: [53][20/118]\tTime 0.545 (0.548)\tLoss 0.0248 (0.0381)\tPrec@1 98.828 (98.772)\n",
      "Epoch: [53][30/118]\tTime 0.612 (0.549)\tLoss 0.0540 (0.0334)\tPrec@1 98.047 (98.967)\n",
      "Epoch: [53][40/118]\tTime 0.527 (0.548)\tLoss 0.0088 (0.0319)\tPrec@1 99.609 (99.000)\n",
      "Epoch: [53][50/118]\tTime 0.574 (0.551)\tLoss 0.0177 (0.0313)\tPrec@1 99.219 (98.966)\n",
      "Epoch: [53][60/118]\tTime 0.558 (0.556)\tLoss 0.0063 (0.0311)\tPrec@1 100.000 (98.982)\n",
      "Epoch: [53][70/118]\tTime 0.547 (0.556)\tLoss 0.0345 (0.0315)\tPrec@1 98.828 (98.993)\n",
      "Epoch: [53][80/118]\tTime 0.520 (0.557)\tLoss 0.0297 (0.0308)\tPrec@1 98.828 (98.997)\n",
      "Epoch: [53][90/118]\tTime 0.531 (0.557)\tLoss 0.0564 (0.0321)\tPrec@1 97.656 (98.944)\n",
      "Epoch: [53][100/118]\tTime 0.526 (0.555)\tLoss 0.0274 (0.0320)\tPrec@1 98.828 (98.952)\n",
      "Epoch: [53][110/118]\tTime 0.586 (0.556)\tLoss 0.0303 (0.0317)\tPrec@1 99.219 (98.941)\n",
      "Test: [0/157]\tTime 0.299 (0.299)\tLoss 0.5276 (0.5276)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.184 (0.172)\tLoss 0.3313 (0.4027)\tPrec@1 92.188 (90.483)\n",
      "Test: [20/157]\tTime 0.151 (0.166)\tLoss 0.4417 (0.4248)\tPrec@1 87.891 (90.011)\n",
      "Test: [30/157]\tTime 0.150 (0.163)\tLoss 0.3966 (0.4482)\tPrec@1 89.453 (89.529)\n",
      "Test: [40/157]\tTime 0.152 (0.161)\tLoss 0.5831 (0.4493)\tPrec@1 86.328 (89.415)\n",
      "Test: [50/157]\tTime 0.156 (0.162)\tLoss 0.5031 (0.4582)\tPrec@1 88.672 (89.338)\n",
      "Test: [60/157]\tTime 0.156 (0.163)\tLoss 0.3275 (0.4652)\tPrec@1 92.188 (89.261)\n",
      "Test: [70/157]\tTime 0.165 (0.163)\tLoss 0.6060 (0.4699)\tPrec@1 84.375 (89.107)\n",
      "Test: [80/157]\tTime 0.179 (0.163)\tLoss 0.5138 (0.4769)\tPrec@1 86.719 (88.956)\n",
      "Test: [90/157]\tTime 0.182 (0.163)\tLoss 0.4297 (0.4735)\tPrec@1 88.281 (89.028)\n",
      "Test: [100/157]\tTime 0.158 (0.163)\tLoss 0.3668 (0.4759)\tPrec@1 91.016 (88.970)\n",
      "Test: [110/157]\tTime 0.150 (0.163)\tLoss 0.5094 (0.4789)\tPrec@1 89.844 (88.925)\n",
      "Test: [120/157]\tTime 0.158 (0.163)\tLoss 0.4441 (0.4800)\tPrec@1 90.625 (88.943)\n",
      "Test: [130/157]\tTime 0.161 (0.163)\tLoss 0.4631 (0.4825)\tPrec@1 89.453 (88.887)\n",
      "Test: [140/157]\tTime 0.153 (0.162)\tLoss 0.3916 (0.4770)\tPrec@1 90.625 (88.968)\n",
      "Test: [150/157]\tTime 0.186 (0.162)\tLoss 0.4404 (0.4786)\tPrec@1 91.797 (88.915)\n",
      " * Prec@1 88.925\n",
      "Epoch: [54][0/118]\tTime 0.280 (0.280)\tLoss 0.0197 (0.0197)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [54][10/118]\tTime 0.542 (0.517)\tLoss 0.0226 (0.0262)\tPrec@1 99.609 (99.183)\n",
      "Epoch: [54][20/118]\tTime 0.573 (0.572)\tLoss 0.0330 (0.0281)\tPrec@1 99.219 (99.144)\n",
      "Epoch: [54][30/118]\tTime 0.552 (0.562)\tLoss 0.0353 (0.0289)\tPrec@1 98.438 (99.055)\n",
      "Epoch: [54][40/118]\tTime 0.559 (0.562)\tLoss 0.0717 (0.0299)\tPrec@1 97.656 (99.047)\n",
      "Epoch: [54][50/118]\tTime 0.584 (0.561)\tLoss 0.0537 (0.0327)\tPrec@1 98.828 (98.951)\n",
      "Epoch: [54][60/118]\tTime 0.563 (0.560)\tLoss 0.0291 (0.0327)\tPrec@1 98.828 (98.982)\n",
      "Epoch: [54][70/118]\tTime 0.628 (0.559)\tLoss 0.0344 (0.0320)\tPrec@1 98.438 (98.982)\n",
      "Epoch: [54][80/118]\tTime 0.534 (0.557)\tLoss 0.0234 (0.0311)\tPrec@1 99.219 (99.016)\n",
      "Epoch: [54][90/118]\tTime 0.579 (0.558)\tLoss 0.0315 (0.0303)\tPrec@1 99.219 (99.051)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [54][100/118]\tTime 0.520 (0.559)\tLoss 0.0143 (0.0290)\tPrec@1 99.609 (99.107)\n",
      "Epoch: [54][110/118]\tTime 0.565 (0.560)\tLoss 0.0097 (0.0282)\tPrec@1 100.000 (99.145)\n",
      "Test: [0/157]\tTime 0.307 (0.307)\tLoss 0.3762 (0.3762)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.156 (0.171)\tLoss 0.5017 (0.4127)\tPrec@1 87.109 (89.631)\n",
      "Test: [20/157]\tTime 0.178 (0.172)\tLoss 0.6285 (0.4376)\tPrec@1 84.375 (88.821)\n",
      "Test: [30/157]\tTime 0.175 (0.167)\tLoss 0.4022 (0.4385)\tPrec@1 89.844 (88.697)\n",
      "Test: [40/157]\tTime 0.170 (0.166)\tLoss 0.4300 (0.4408)\tPrec@1 88.281 (88.748)\n",
      "Test: [50/157]\tTime 0.153 (0.165)\tLoss 0.5424 (0.4420)\tPrec@1 86.328 (88.764)\n",
      "Test: [60/157]\tTime 0.152 (0.163)\tLoss 0.4837 (0.4411)\tPrec@1 85.938 (88.755)\n",
      "Test: [70/157]\tTime 0.185 (0.164)\tLoss 0.3204 (0.4358)\tPrec@1 91.406 (88.754)\n",
      "Test: [80/157]\tTime 0.178 (0.164)\tLoss 0.4920 (0.4385)\tPrec@1 85.547 (88.677)\n",
      "Test: [90/157]\tTime 0.237 (0.168)\tLoss 0.4209 (0.4378)\tPrec@1 89.062 (88.663)\n",
      "Test: [100/157]\tTime 0.165 (0.171)\tLoss 0.4203 (0.4367)\tPrec@1 88.281 (88.598)\n",
      "Test: [110/157]\tTime 0.157 (0.170)\tLoss 0.3916 (0.4379)\tPrec@1 88.672 (88.584)\n",
      "Test: [120/157]\tTime 0.184 (0.170)\tLoss 0.4715 (0.4376)\tPrec@1 87.500 (88.630)\n",
      "Test: [130/157]\tTime 0.147 (0.169)\tLoss 0.3109 (0.4371)\tPrec@1 92.188 (88.600)\n",
      "Test: [140/157]\tTime 0.154 (0.168)\tLoss 0.4104 (0.4399)\tPrec@1 88.281 (88.553)\n",
      "Test: [150/157]\tTime 0.147 (0.167)\tLoss 0.4163 (0.4412)\tPrec@1 89.062 (88.550)\n",
      " * Prec@1 88.543\n",
      "Epoch: [55][0/118]\tTime 0.267 (0.267)\tLoss 0.0494 (0.0494)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [55][10/118]\tTime 0.570 (0.521)\tLoss 0.0255 (0.0225)\tPrec@1 99.219 (99.290)\n",
      "Epoch: [55][20/118]\tTime 0.544 (0.544)\tLoss 0.0392 (0.0215)\tPrec@1 99.219 (99.405)\n",
      "Epoch: [55][30/118]\tTime 0.553 (0.545)\tLoss 0.0043 (0.0208)\tPrec@1 100.000 (99.433)\n",
      "Epoch: [55][40/118]\tTime 0.565 (0.547)\tLoss 0.0105 (0.0198)\tPrec@1 100.000 (99.447)\n",
      "Epoch: [55][50/118]\tTime 0.570 (0.553)\tLoss 0.0156 (0.0197)\tPrec@1 99.219 (99.433)\n",
      "Epoch: [55][60/118]\tTime 0.526 (0.554)\tLoss 0.0216 (0.0186)\tPrec@1 98.828 (99.449)\n",
      "Epoch: [55][70/118]\tTime 0.538 (0.555)\tLoss 0.0288 (0.0187)\tPrec@1 99.219 (99.455)\n",
      "Epoch: [55][80/118]\tTime 0.565 (0.554)\tLoss 0.0268 (0.0191)\tPrec@1 98.828 (99.431)\n",
      "Epoch: [55][90/118]\tTime 0.569 (0.554)\tLoss 0.0206 (0.0198)\tPrec@1 99.219 (99.403)\n",
      "Epoch: [55][100/118]\tTime 0.569 (0.555)\tLoss 0.0173 (0.0200)\tPrec@1 99.609 (99.401)\n",
      "Epoch: [55][110/118]\tTime 0.583 (0.555)\tLoss 0.0174 (0.0212)\tPrec@1 99.609 (99.360)\n",
      "Test: [0/157]\tTime 0.307 (0.307)\tLoss 0.3719 (0.3719)\tPrec@1 90.234 (90.234)\n",
      "Test: [10/157]\tTime 0.167 (0.171)\tLoss 0.4741 (0.4006)\tPrec@1 87.891 (89.950)\n",
      "Test: [20/157]\tTime 0.208 (0.176)\tLoss 0.3246 (0.3950)\tPrec@1 90.625 (90.216)\n",
      "Test: [30/157]\tTime 0.153 (0.175)\tLoss 0.3875 (0.3820)\tPrec@1 90.234 (90.285)\n",
      "Test: [40/157]\tTime 0.146 (0.173)\tLoss 0.3777 (0.3794)\tPrec@1 91.016 (90.406)\n",
      "Test: [50/157]\tTime 0.158 (0.170)\tLoss 0.3038 (0.3797)\tPrec@1 91.797 (90.349)\n",
      "Test: [60/157]\tTime 0.167 (0.169)\tLoss 0.3585 (0.3763)\tPrec@1 92.578 (90.523)\n",
      "Test: [70/157]\tTime 0.184 (0.168)\tLoss 0.3533 (0.3817)\tPrec@1 90.625 (90.377)\n",
      "Test: [80/157]\tTime 0.158 (0.167)\tLoss 0.4346 (0.3893)\tPrec@1 87.891 (90.220)\n",
      "Test: [90/157]\tTime 0.166 (0.166)\tLoss 0.3954 (0.3908)\tPrec@1 91.406 (90.226)\n",
      "Test: [100/157]\tTime 0.165 (0.166)\tLoss 0.3030 (0.3929)\tPrec@1 91.406 (90.196)\n",
      "Test: [110/157]\tTime 0.189 (0.165)\tLoss 0.4377 (0.3908)\tPrec@1 89.844 (90.210)\n",
      "Test: [120/157]\tTime 0.154 (0.164)\tLoss 0.3075 (0.3913)\tPrec@1 92.188 (90.244)\n",
      "Test: [130/157]\tTime 0.154 (0.164)\tLoss 0.3441 (0.3883)\tPrec@1 91.016 (90.312)\n",
      "Test: [140/157]\tTime 0.156 (0.164)\tLoss 0.3967 (0.3897)\tPrec@1 88.672 (90.243)\n",
      "Test: [150/157]\tTime 0.151 (0.163)\tLoss 0.3915 (0.3902)\tPrec@1 89.062 (90.167)\n",
      " * Prec@1 90.140\n",
      "Epoch: [56][0/118]\tTime 0.291 (0.291)\tLoss 0.0089 (0.0089)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [56][10/118]\tTime 0.549 (0.526)\tLoss 0.0374 (0.0225)\tPrec@1 98.438 (99.396)\n",
      "Epoch: [56][20/118]\tTime 0.582 (0.538)\tLoss 0.0147 (0.0227)\tPrec@1 99.219 (99.312)\n",
      "Epoch: [56][30/118]\tTime 0.580 (0.546)\tLoss 0.0426 (0.0249)\tPrec@1 98.828 (99.219)\n",
      "Epoch: [56][40/118]\tTime 0.539 (0.549)\tLoss 0.0129 (0.0248)\tPrec@1 100.000 (99.266)\n",
      "Epoch: [56][50/118]\tTime 0.601 (0.552)\tLoss 0.0194 (0.0261)\tPrec@1 99.609 (99.203)\n",
      "Epoch: [56][60/118]\tTime 0.558 (0.553)\tLoss 0.0277 (0.0277)\tPrec@1 98.828 (99.187)\n",
      "Epoch: [56][70/118]\tTime 0.567 (0.552)\tLoss 0.0199 (0.0278)\tPrec@1 99.609 (99.153)\n",
      "Epoch: [56][80/118]\tTime 0.591 (0.552)\tLoss 0.0304 (0.0284)\tPrec@1 99.609 (99.166)\n",
      "Epoch: [56][90/118]\tTime 0.604 (0.552)\tLoss 0.0375 (0.0306)\tPrec@1 99.609 (99.073)\n",
      "Epoch: [56][100/118]\tTime 0.556 (0.552)\tLoss 0.0209 (0.0315)\tPrec@1 99.219 (99.045)\n",
      "Epoch: [56][110/118]\tTime 0.614 (0.555)\tLoss 0.0328 (0.0323)\tPrec@1 99.219 (99.011)\n",
      "Test: [0/157]\tTime 0.331 (0.331)\tLoss 0.4902 (0.4902)\tPrec@1 87.891 (87.891)\n",
      "Test: [10/157]\tTime 0.201 (0.182)\tLoss 0.3800 (0.5128)\tPrec@1 87.891 (87.216)\n",
      "Test: [20/157]\tTime 0.196 (0.179)\tLoss 0.7016 (0.5491)\tPrec@1 87.109 (86.849)\n",
      "Test: [30/157]\tTime 0.146 (0.172)\tLoss 0.3723 (0.5373)\tPrec@1 91.016 (87.135)\n",
      "Test: [40/157]\tTime 0.157 (0.169)\tLoss 0.6529 (0.5357)\tPrec@1 85.938 (87.214)\n",
      "Test: [50/157]\tTime 0.155 (0.166)\tLoss 0.4581 (0.5291)\tPrec@1 87.500 (87.309)\n",
      "Test: [60/157]\tTime 0.159 (0.165)\tLoss 0.3580 (0.5251)\tPrec@1 89.844 (87.334)\n",
      "Test: [70/157]\tTime 0.151 (0.164)\tLoss 0.4885 (0.5281)\tPrec@1 89.062 (87.368)\n",
      "Test: [80/157]\tTime 0.148 (0.164)\tLoss 0.6688 (0.5300)\tPrec@1 83.984 (87.264)\n",
      "Test: [90/157]\tTime 0.146 (0.163)\tLoss 0.5157 (0.5267)\tPrec@1 85.156 (87.328)\n",
      "Test: [100/157]\tTime 0.147 (0.163)\tLoss 0.5609 (0.5243)\tPrec@1 88.281 (87.427)\n",
      "Test: [110/157]\tTime 0.148 (0.162)\tLoss 0.4204 (0.5205)\tPrec@1 89.062 (87.482)\n",
      "Test: [120/157]\tTime 0.175 (0.162)\tLoss 0.5370 (0.5168)\tPrec@1 87.109 (87.513)\n",
      "Test: [130/157]\tTime 0.154 (0.163)\tLoss 0.6802 (0.5218)\tPrec@1 83.594 (87.417)\n",
      "Test: [140/157]\tTime 0.155 (0.162)\tLoss 0.3750 (0.5214)\tPrec@1 91.016 (87.395)\n",
      "Test: [150/157]\tTime 0.157 (0.162)\tLoss 0.7060 (0.5178)\tPrec@1 84.766 (87.451)\n",
      " * Prec@1 87.403\n",
      "Epoch: [57][0/118]\tTime 0.267 (0.267)\tLoss 0.0425 (0.0425)\tPrec@1 98.438 (98.438)\n",
      "Epoch: [57][10/118]\tTime 0.516 (0.528)\tLoss 0.0261 (0.0297)\tPrec@1 98.828 (98.970)\n",
      "Epoch: [57][20/118]\tTime 0.528 (0.547)\tLoss 0.0235 (0.0304)\tPrec@1 99.609 (99.070)\n",
      "Epoch: [57][30/118]\tTime 0.673 (0.557)\tLoss 0.0128 (0.0265)\tPrec@1 99.609 (99.194)\n",
      "Epoch: [57][40/118]\tTime 0.637 (0.558)\tLoss 0.0075 (0.0262)\tPrec@1 100.000 (99.228)\n",
      "Epoch: [57][50/118]\tTime 0.529 (0.557)\tLoss 0.0435 (0.0263)\tPrec@1 97.656 (99.196)\n",
      "Epoch: [57][60/118]\tTime 0.541 (0.558)\tLoss 0.0127 (0.0269)\tPrec@1 99.609 (99.161)\n",
      "Epoch: [57][70/118]\tTime 0.520 (0.559)\tLoss 0.0395 (0.0282)\tPrec@1 98.828 (99.125)\n",
      "Epoch: [57][80/118]\tTime 0.564 (0.559)\tLoss 0.0348 (0.0280)\tPrec@1 98.438 (99.137)\n",
      "Epoch: [57][90/118]\tTime 0.598 (0.559)\tLoss 0.0191 (0.0266)\tPrec@1 99.609 (99.189)\n",
      "Epoch: [57][100/118]\tTime 0.573 (0.560)\tLoss 0.0053 (0.0269)\tPrec@1 100.000 (99.176)\n",
      "Epoch: [57][110/118]\tTime 0.567 (0.559)\tLoss 0.0341 (0.0271)\tPrec@1 98.047 (99.155)\n",
      "Test: [0/157]\tTime 0.289 (0.289)\tLoss 0.4824 (0.4824)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.154 (0.172)\tLoss 0.3165 (0.5177)\tPrec@1 92.578 (88.494)\n",
      "Test: [20/157]\tTime 0.160 (0.166)\tLoss 0.6547 (0.5249)\tPrec@1 85.156 (88.077)\n",
      "Test: [30/157]\tTime 0.160 (0.165)\tLoss 0.6172 (0.5160)\tPrec@1 83.594 (88.130)\n",
      "Test: [40/157]\tTime 0.171 (0.164)\tLoss 0.4149 (0.5039)\tPrec@1 88.672 (88.281)\n",
      "Test: [50/157]\tTime 0.163 (0.162)\tLoss 0.5503 (0.4946)\tPrec@1 86.328 (88.480)\n",
      "Test: [60/157]\tTime 0.173 (0.164)\tLoss 0.5072 (0.5050)\tPrec@1 88.281 (88.352)\n",
      "Test: [70/157]\tTime 0.153 (0.163)\tLoss 0.4666 (0.5017)\tPrec@1 87.500 (88.325)\n",
      "Test: [80/157]\tTime 0.151 (0.163)\tLoss 0.5677 (0.5068)\tPrec@1 87.109 (88.180)\n",
      "Test: [90/157]\tTime 0.183 (0.163)\tLoss 0.6206 (0.5063)\tPrec@1 85.547 (88.204)\n",
      "Test: [100/157]\tTime 0.169 (0.163)\tLoss 0.3784 (0.5065)\tPrec@1 91.797 (88.254)\n",
      "Test: [110/157]\tTime 0.166 (0.163)\tLoss 0.4824 (0.5052)\tPrec@1 90.234 (88.295)\n",
      "Test: [120/157]\tTime 0.160 (0.162)\tLoss 0.6186 (0.5045)\tPrec@1 85.938 (88.281)\n",
      "Test: [130/157]\tTime 0.152 (0.162)\tLoss 0.5958 (0.5105)\tPrec@1 87.891 (88.186)\n",
      "Test: [140/157]\tTime 0.147 (0.161)\tLoss 0.4758 (0.5159)\tPrec@1 89.844 (88.123)\n",
      "Test: [150/157]\tTime 0.157 (0.161)\tLoss 0.4859 (0.5165)\tPrec@1 89.453 (88.100)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * Prec@1 88.105\n",
      "Epoch: [58][0/118]\tTime 0.275 (0.275)\tLoss 0.0362 (0.0362)\tPrec@1 98.828 (98.828)\n",
      "Epoch: [58][10/118]\tTime 0.581 (0.536)\tLoss 0.0279 (0.0447)\tPrec@1 99.219 (98.580)\n",
      "Epoch: [58][20/118]\tTime 0.578 (0.546)\tLoss 0.0562 (0.0401)\tPrec@1 98.438 (98.717)\n",
      "Epoch: [58][30/118]\tTime 0.512 (0.549)\tLoss 0.0152 (0.0379)\tPrec@1 99.609 (98.753)\n",
      "Epoch: [58][40/118]\tTime 0.551 (0.546)\tLoss 0.0423 (0.0384)\tPrec@1 98.047 (98.733)\n",
      "Epoch: [58][50/118]\tTime 0.528 (0.548)\tLoss 0.0514 (0.0408)\tPrec@1 97.656 (98.614)\n",
      "Epoch: [58][60/118]\tTime 0.556 (0.553)\tLoss 0.0330 (0.0425)\tPrec@1 98.828 (98.546)\n",
      "Epoch: [58][70/118]\tTime 0.584 (0.554)\tLoss 0.0776 (0.0425)\tPrec@1 97.266 (98.542)\n",
      "Epoch: [58][80/118]\tTime 0.557 (0.554)\tLoss 0.0390 (0.0415)\tPrec@1 98.438 (98.597)\n",
      "Epoch: [58][90/118]\tTime 0.545 (0.556)\tLoss 0.0710 (0.0416)\tPrec@1 97.266 (98.588)\n",
      "Epoch: [58][100/118]\tTime 0.534 (0.556)\tLoss 0.0301 (0.0412)\tPrec@1 98.828 (98.600)\n",
      "Epoch: [58][110/118]\tTime 0.582 (0.557)\tLoss 0.0355 (0.0414)\tPrec@1 99.219 (98.610)\n",
      "Test: [0/157]\tTime 0.321 (0.321)\tLoss 0.5100 (0.5100)\tPrec@1 88.672 (88.672)\n",
      "Test: [10/157]\tTime 0.149 (0.174)\tLoss 0.3652 (0.4129)\tPrec@1 91.797 (89.986)\n",
      "Test: [20/157]\tTime 0.164 (0.164)\tLoss 0.4565 (0.4312)\tPrec@1 89.062 (89.695)\n",
      "Test: [30/157]\tTime 0.161 (0.162)\tLoss 0.6272 (0.4545)\tPrec@1 87.891 (89.176)\n",
      "Test: [40/157]\tTime 0.153 (0.161)\tLoss 0.4776 (0.4553)\tPrec@1 87.500 (89.196)\n",
      "Test: [50/157]\tTime 0.159 (0.160)\tLoss 0.5255 (0.4573)\tPrec@1 87.109 (88.986)\n",
      "Test: [60/157]\tTime 0.160 (0.161)\tLoss 0.4449 (0.4580)\tPrec@1 89.062 (88.928)\n",
      "Test: [70/157]\tTime 0.152 (0.161)\tLoss 0.5156 (0.4568)\tPrec@1 86.719 (88.952)\n",
      "Test: [80/157]\tTime 0.150 (0.161)\tLoss 0.4421 (0.4596)\tPrec@1 90.234 (88.874)\n",
      "Test: [90/157]\tTime 0.146 (0.161)\tLoss 0.5590 (0.4638)\tPrec@1 87.500 (88.809)\n",
      "Test: [100/157]\tTime 0.147 (0.162)\tLoss 0.3341 (0.4613)\tPrec@1 91.797 (88.873)\n",
      "Test: [110/157]\tTime 0.207 (0.162)\tLoss 0.4090 (0.4587)\tPrec@1 91.797 (88.999)\n",
      "Test: [120/157]\tTime 0.149 (0.161)\tLoss 0.5140 (0.4589)\tPrec@1 89.453 (89.011)\n",
      "Test: [130/157]\tTime 0.149 (0.161)\tLoss 0.5515 (0.4562)\tPrec@1 88.672 (89.042)\n",
      "Test: [140/157]\tTime 0.163 (0.162)\tLoss 0.2459 (0.4563)\tPrec@1 94.922 (89.060)\n",
      "Test: [150/157]\tTime 0.173 (0.162)\tLoss 0.4556 (0.4561)\tPrec@1 89.062 (89.052)\n",
      " * Prec@1 89.050\n",
      "Epoch: [59][0/118]\tTime 0.258 (0.258)\tLoss 0.0538 (0.0538)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [59][10/118]\tTime 0.551 (0.546)\tLoss 0.0134 (0.0335)\tPrec@1 99.219 (98.828)\n",
      "Epoch: [59][20/118]\tTime 0.585 (0.550)\tLoss 0.0062 (0.0251)\tPrec@1 100.000 (99.182)\n",
      "Epoch: [59][30/118]\tTime 0.515 (0.552)\tLoss 0.0084 (0.0217)\tPrec@1 99.609 (99.357)\n",
      "Epoch: [59][40/118]\tTime 0.511 (0.550)\tLoss 0.0055 (0.0191)\tPrec@1 100.000 (99.447)\n",
      "Epoch: [59][50/118]\tTime 0.545 (0.566)\tLoss 0.0102 (0.0169)\tPrec@1 100.000 (99.533)\n",
      "Epoch: [59][60/118]\tTime 0.547 (0.562)\tLoss 0.0087 (0.0158)\tPrec@1 100.000 (99.558)\n",
      "Epoch: [59][70/118]\tTime 0.565 (0.562)\tLoss 0.0035 (0.0145)\tPrec@1 100.000 (99.593)\n",
      "Epoch: [59][80/118]\tTime 0.544 (0.561)\tLoss 0.0057 (0.0136)\tPrec@1 99.609 (99.629)\n",
      "Epoch: [59][90/118]\tTime 0.513 (0.560)\tLoss 0.0086 (0.0130)\tPrec@1 99.609 (99.644)\n",
      "Epoch: [59][100/118]\tTime 0.544 (0.559)\tLoss 0.0057 (0.0124)\tPrec@1 99.609 (99.664)\n",
      "Epoch: [59][110/118]\tTime 0.541 (0.559)\tLoss 0.0040 (0.0118)\tPrec@1 100.000 (99.683)\n",
      "Test: [0/157]\tTime 0.310 (0.310)\tLoss 0.3008 (0.3008)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.171 (0.178)\tLoss 0.3172 (0.3267)\tPrec@1 91.406 (91.619)\n",
      "Test: [20/157]\tTime 0.163 (0.167)\tLoss 0.3160 (0.3240)\tPrec@1 90.625 (91.927)\n",
      "Test: [30/157]\tTime 0.147 (0.165)\tLoss 0.4062 (0.3119)\tPrec@1 91.406 (92.301)\n",
      "Test: [40/157]\tTime 0.158 (0.163)\tLoss 0.2270 (0.3043)\tPrec@1 95.312 (92.597)\n",
      "Test: [50/157]\tTime 0.153 (0.162)\tLoss 0.4333 (0.2984)\tPrec@1 91.797 (92.708)\n",
      "Test: [60/157]\tTime 0.153 (0.160)\tLoss 0.1707 (0.2970)\tPrec@1 94.531 (92.661)\n",
      "Test: [70/157]\tTime 0.177 (0.160)\tLoss 0.2155 (0.2903)\tPrec@1 94.141 (92.765)\n",
      "Test: [80/157]\tTime 0.148 (0.160)\tLoss 0.2197 (0.2894)\tPrec@1 92.578 (92.699)\n",
      "Test: [90/157]\tTime 0.150 (0.159)\tLoss 0.4086 (0.2841)\tPrec@1 91.016 (92.827)\n",
      "Test: [100/157]\tTime 0.154 (0.159)\tLoss 0.2840 (0.2815)\tPrec@1 93.750 (92.880)\n",
      "Test: [110/157]\tTime 0.173 (0.159)\tLoss 0.4190 (0.2831)\tPrec@1 90.234 (92.856)\n",
      "Test: [120/157]\tTime 0.154 (0.159)\tLoss 0.2506 (0.2858)\tPrec@1 94.141 (92.836)\n",
      "Test: [130/157]\tTime 0.155 (0.159)\tLoss 0.2926 (0.2842)\tPrec@1 91.406 (92.846)\n",
      "Test: [140/157]\tTime 0.174 (0.159)\tLoss 0.2276 (0.2840)\tPrec@1 94.922 (92.875)\n",
      "Test: [150/157]\tTime 0.204 (0.160)\tLoss 0.3631 (0.2826)\tPrec@1 91.797 (92.894)\n",
      " * Prec@1 92.922\n",
      "Epoch: [60][0/118]\tTime 0.307 (0.307)\tLoss 0.0037 (0.0037)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][10/118]\tTime 0.637 (0.537)\tLoss 0.0021 (0.0028)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][20/118]\tTime 0.590 (0.547)\tLoss 0.0021 (0.0029)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][30/118]\tTime 0.585 (0.549)\tLoss 0.0018 (0.0026)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][40/118]\tTime 0.531 (0.588)\tLoss 0.0023 (0.0025)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][50/118]\tTime 0.533 (0.581)\tLoss 0.0016 (0.0025)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][60/118]\tTime 0.566 (0.577)\tLoss 0.0018 (0.0025)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][70/118]\tTime 0.570 (0.574)\tLoss 0.0020 (0.0024)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][80/118]\tTime 0.553 (0.572)\tLoss 0.0019 (0.0024)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][90/118]\tTime 0.577 (0.569)\tLoss 0.0017 (0.0024)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][100/118]\tTime 0.606 (0.577)\tLoss 0.0027 (0.0024)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [60][110/118]\tTime 0.533 (0.573)\tLoss 0.0021 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.306 (0.306)\tLoss 0.2461 (0.2461)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.163 (0.173)\tLoss 0.2826 (0.2727)\tPrec@1 93.359 (93.217)\n",
      "Test: [20/157]\tTime 0.150 (0.167)\tLoss 0.1772 (0.2742)\tPrec@1 93.359 (92.894)\n",
      "Test: [30/157]\tTime 0.150 (0.167)\tLoss 0.1564 (0.2700)\tPrec@1 95.703 (93.007)\n",
      "Test: [40/157]\tTime 0.160 (0.165)\tLoss 0.3065 (0.2692)\tPrec@1 92.578 (93.093)\n",
      "Test: [50/157]\tTime 0.178 (0.164)\tLoss 0.3687 (0.2778)\tPrec@1 93.359 (92.992)\n",
      "Test: [60/157]\tTime 0.155 (0.163)\tLoss 0.2300 (0.2764)\tPrec@1 94.141 (93.071)\n",
      "Test: [70/157]\tTime 0.158 (0.162)\tLoss 0.2422 (0.2795)\tPrec@1 94.531 (93.024)\n",
      "Test: [80/157]\tTime 0.174 (0.162)\tLoss 0.3672 (0.2769)\tPrec@1 91.406 (93.080)\n",
      "Test: [90/157]\tTime 0.150 (0.161)\tLoss 0.3385 (0.2792)\tPrec@1 91.016 (93.063)\n",
      "Test: [100/157]\tTime 0.158 (0.161)\tLoss 0.2638 (0.2815)\tPrec@1 93.750 (93.046)\n",
      "Test: [110/157]\tTime 0.156 (0.160)\tLoss 0.3056 (0.2829)\tPrec@1 93.750 (93.018)\n",
      "Test: [120/157]\tTime 0.148 (0.160)\tLoss 0.2246 (0.2817)\tPrec@1 94.141 (93.001)\n",
      "Test: [130/157]\tTime 0.155 (0.160)\tLoss 0.3490 (0.2837)\tPrec@1 91.406 (92.984)\n",
      "Test: [140/157]\tTime 0.149 (0.160)\tLoss 0.3338 (0.2846)\tPrec@1 91.406 (92.952)\n",
      "Test: [150/157]\tTime 0.147 (0.160)\tLoss 0.1757 (0.2825)\tPrec@1 96.484 (93.020)\n",
      " * Prec@1 93.032\n",
      "Epoch: [61][0/118]\tTime 0.298 (0.298)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][10/118]\tTime 0.531 (0.533)\tLoss 0.0017 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][20/118]\tTime 0.506 (0.538)\tLoss 0.0011 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][30/118]\tTime 0.547 (0.549)\tLoss 0.0013 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][40/118]\tTime 0.528 (0.548)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][50/118]\tTime 0.590 (0.549)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][60/118]\tTime 0.564 (0.550)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][70/118]\tTime 0.532 (0.550)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][80/118]\tTime 0.538 (0.551)\tLoss 0.0008 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][90/118]\tTime 0.565 (0.552)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][100/118]\tTime 0.528 (0.551)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [61][110/118]\tTime 0.564 (0.552)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.338 (0.338)\tLoss 0.3962 (0.3962)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.149 (0.174)\tLoss 0.3550 (0.3282)\tPrec@1 90.234 (92.223)\n",
      "Test: [20/157]\tTime 0.160 (0.165)\tLoss 0.3918 (0.3155)\tPrec@1 89.844 (92.560)\n",
      "Test: [30/157]\tTime 0.147 (0.163)\tLoss 0.3225 (0.2903)\tPrec@1 92.578 (93.145)\n",
      "Test: [40/157]\tTime 0.164 (0.161)\tLoss 0.2809 (0.2845)\tPrec@1 93.359 (93.131)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [50/157]\tTime 0.209 (0.162)\tLoss 0.2131 (0.2829)\tPrec@1 95.312 (93.229)\n",
      "Test: [60/157]\tTime 0.198 (0.162)\tLoss 0.3350 (0.2814)\tPrec@1 92.969 (93.251)\n",
      "Test: [70/157]\tTime 0.157 (0.162)\tLoss 0.3836 (0.2761)\tPrec@1 91.406 (93.354)\n",
      "Test: [80/157]\tTime 0.185 (0.162)\tLoss 0.2509 (0.2759)\tPrec@1 93.359 (93.379)\n",
      "Test: [90/157]\tTime 0.184 (0.162)\tLoss 0.3529 (0.2785)\tPrec@1 91.797 (93.218)\n",
      "Test: [100/157]\tTime 0.151 (0.162)\tLoss 0.1479 (0.2760)\tPrec@1 94.141 (93.243)\n",
      "Test: [110/157]\tTime 0.144 (0.161)\tLoss 0.3403 (0.2788)\tPrec@1 91.797 (93.141)\n",
      "Test: [120/157]\tTime 0.153 (0.161)\tLoss 0.3339 (0.2817)\tPrec@1 92.578 (93.075)\n",
      "Test: [130/157]\tTime 0.146 (0.161)\tLoss 0.3265 (0.2807)\tPrec@1 94.141 (93.127)\n",
      "Test: [140/157]\tTime 0.164 (0.162)\tLoss 0.2960 (0.2801)\tPrec@1 93.359 (93.152)\n",
      "Test: [150/157]\tTime 0.152 (0.161)\tLoss 0.2795 (0.2791)\tPrec@1 93.359 (93.202)\n",
      " * Prec@1 93.135\n",
      "Epoch: [62][0/118]\tTime 0.275 (0.275)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][10/118]\tTime 0.550 (0.534)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][20/118]\tTime 0.522 (0.547)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][30/118]\tTime 0.517 (0.546)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][40/118]\tTime 0.603 (0.551)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][50/118]\tTime 0.539 (0.552)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][60/118]\tTime 0.532 (0.552)\tLoss 0.0009 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][70/118]\tTime 0.595 (0.552)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][80/118]\tTime 0.577 (0.555)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][90/118]\tTime 0.615 (0.555)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][100/118]\tTime 0.581 (0.558)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [62][110/118]\tTime 0.543 (0.557)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.316 (0.316)\tLoss 0.2603 (0.2603)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.160 (0.172)\tLoss 0.3667 (0.3063)\tPrec@1 92.188 (92.649)\n",
      "Test: [20/157]\tTime 0.147 (0.164)\tLoss 0.3566 (0.2972)\tPrec@1 91.406 (92.764)\n",
      "Test: [30/157]\tTime 0.153 (0.160)\tLoss 0.4365 (0.2977)\tPrec@1 90.234 (92.918)\n",
      "Test: [40/157]\tTime 0.148 (0.160)\tLoss 0.2946 (0.2965)\tPrec@1 92.969 (92.940)\n",
      "Test: [50/157]\tTime 0.185 (0.160)\tLoss 0.3745 (0.3014)\tPrec@1 90.625 (92.831)\n",
      "Test: [60/157]\tTime 0.162 (0.159)\tLoss 0.2269 (0.2983)\tPrec@1 94.141 (92.924)\n",
      "Test: [70/157]\tTime 0.158 (0.160)\tLoss 0.2888 (0.2986)\tPrec@1 91.406 (92.881)\n",
      "Test: [80/157]\tTime 0.156 (0.160)\tLoss 0.2887 (0.2930)\tPrec@1 92.969 (92.978)\n",
      "Test: [90/157]\tTime 0.148 (0.161)\tLoss 0.2878 (0.2943)\tPrec@1 91.797 (92.952)\n",
      "Test: [100/157]\tTime 0.184 (0.160)\tLoss 0.2511 (0.2946)\tPrec@1 94.141 (92.984)\n",
      "Test: [110/157]\tTime 0.151 (0.160)\tLoss 0.2247 (0.2923)\tPrec@1 95.312 (93.060)\n",
      "Test: [120/157]\tTime 0.152 (0.159)\tLoss 0.2140 (0.2896)\tPrec@1 94.922 (93.133)\n",
      "Test: [130/157]\tTime 0.153 (0.159)\tLoss 0.3223 (0.2896)\tPrec@1 92.188 (93.100)\n",
      "Test: [140/157]\tTime 0.154 (0.159)\tLoss 0.2935 (0.2894)\tPrec@1 92.188 (93.102)\n",
      "Test: [150/157]\tTime 0.148 (0.158)\tLoss 0.2027 (0.2882)\tPrec@1 94.922 (93.114)\n",
      " * Prec@1 93.142\n",
      "Epoch: [63][0/118]\tTime 0.256 (0.256)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][10/118]\tTime 0.595 (0.533)\tLoss 0.0015 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][20/118]\tTime 0.533 (0.541)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][30/118]\tTime 0.509 (0.543)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][40/118]\tTime 0.530 (0.547)\tLoss 0.0032 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][50/118]\tTime 0.558 (0.550)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][60/118]\tTime 0.616 (0.553)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][70/118]\tTime 0.552 (0.554)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][80/118]\tTime 0.571 (0.555)\tLoss 0.0009 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][90/118]\tTime 0.587 (0.556)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][100/118]\tTime 0.537 (0.556)\tLoss 0.0020 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [63][110/118]\tTime 0.551 (0.556)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.364 (0.364)\tLoss 0.2269 (0.2269)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.163 (0.185)\tLoss 0.2426 (0.2286)\tPrec@1 93.359 (93.963)\n",
      "Test: [20/157]\tTime 0.187 (0.176)\tLoss 0.1296 (0.2452)\tPrec@1 94.531 (93.620)\n",
      "Test: [30/157]\tTime 0.153 (0.170)\tLoss 0.3550 (0.2468)\tPrec@1 92.969 (93.750)\n",
      "Test: [40/157]\tTime 0.157 (0.167)\tLoss 0.4038 (0.2527)\tPrec@1 90.625 (93.702)\n",
      "Test: [50/157]\tTime 0.145 (0.165)\tLoss 0.1418 (0.2608)\tPrec@1 94.922 (93.520)\n",
      "Test: [60/157]\tTime 0.147 (0.165)\tLoss 0.4730 (0.2715)\tPrec@1 92.188 (93.308)\n",
      "Test: [70/157]\tTime 0.210 (0.165)\tLoss 0.2871 (0.2714)\tPrec@1 93.750 (93.326)\n",
      "Test: [80/157]\tTime 0.152 (0.164)\tLoss 0.2580 (0.2695)\tPrec@1 92.969 (93.335)\n",
      "Test: [90/157]\tTime 0.182 (0.164)\tLoss 0.1348 (0.2716)\tPrec@1 95.703 (93.286)\n",
      "Test: [100/157]\tTime 0.154 (0.163)\tLoss 0.2288 (0.2762)\tPrec@1 95.312 (93.216)\n",
      "Test: [110/157]\tTime 0.148 (0.162)\tLoss 0.3492 (0.2766)\tPrec@1 91.797 (93.208)\n",
      "Test: [120/157]\tTime 0.152 (0.162)\tLoss 0.5513 (0.2825)\tPrec@1 89.062 (93.127)\n",
      "Test: [130/157]\tTime 0.168 (0.162)\tLoss 0.3879 (0.2820)\tPrec@1 91.406 (93.154)\n",
      "Test: [140/157]\tTime 0.183 (0.162)\tLoss 0.2981 (0.2848)\tPrec@1 94.531 (93.093)\n",
      "Test: [150/157]\tTime 0.165 (0.162)\tLoss 0.3194 (0.2858)\tPrec@1 92.969 (93.090)\n",
      " * Prec@1 93.097\n",
      "Epoch: [64][0/118]\tTime 0.270 (0.270)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][10/118]\tTime 0.534 (0.539)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][20/118]\tTime 0.522 (0.546)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][30/118]\tTime 0.559 (0.553)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][40/118]\tTime 0.579 (0.557)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][50/118]\tTime 0.518 (0.557)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][60/118]\tTime 0.570 (0.557)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][70/118]\tTime 0.529 (0.556)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][80/118]\tTime 0.565 (0.556)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][90/118]\tTime 0.563 (0.555)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][100/118]\tTime 0.674 (0.557)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [64][110/118]\tTime 0.513 (0.558)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.295 (0.295)\tLoss 0.2471 (0.2471)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.148 (0.164)\tLoss 0.2875 (0.2828)\tPrec@1 92.969 (93.288)\n",
      "Test: [20/157]\tTime 0.197 (0.167)\tLoss 0.3469 (0.2966)\tPrec@1 91.797 (93.118)\n",
      "Test: [30/157]\tTime 0.146 (0.164)\tLoss 0.2591 (0.3008)\tPrec@1 92.188 (92.944)\n",
      "Test: [40/157]\tTime 0.147 (0.162)\tLoss 0.2906 (0.2962)\tPrec@1 92.969 (93.178)\n",
      "Test: [50/157]\tTime 0.149 (0.161)\tLoss 0.2882 (0.3044)\tPrec@1 92.578 (93.007)\n",
      "Test: [60/157]\tTime 0.146 (0.161)\tLoss 0.4637 (0.2990)\tPrec@1 91.016 (93.065)\n",
      "Test: [70/157]\tTime 0.172 (0.161)\tLoss 0.2012 (0.2955)\tPrec@1 93.359 (93.112)\n",
      "Test: [80/157]\tTime 0.149 (0.161)\tLoss 0.1249 (0.2918)\tPrec@1 94.531 (93.128)\n",
      "Test: [90/157]\tTime 0.148 (0.160)\tLoss 0.1950 (0.2947)\tPrec@1 95.703 (93.025)\n",
      "Test: [100/157]\tTime 0.165 (0.160)\tLoss 0.3316 (0.2945)\tPrec@1 91.797 (92.984)\n",
      "Test: [110/157]\tTime 0.147 (0.160)\tLoss 0.2760 (0.2908)\tPrec@1 93.750 (93.074)\n",
      "Test: [120/157]\tTime 0.166 (0.160)\tLoss 0.2393 (0.2894)\tPrec@1 94.141 (93.108)\n",
      "Test: [130/157]\tTime 0.156 (0.160)\tLoss 0.2499 (0.2873)\tPrec@1 94.141 (93.154)\n",
      "Test: [140/157]\tTime 0.145 (0.159)\tLoss 0.2573 (0.2861)\tPrec@1 92.578 (93.168)\n",
      "Test: [150/157]\tTime 0.200 (0.160)\tLoss 0.3625 (0.2850)\tPrec@1 91.016 (93.173)\n",
      " * Prec@1 93.150\n",
      "Epoch: [65][0/118]\tTime 0.261 (0.261)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][10/118]\tTime 0.543 (0.528)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][20/118]\tTime 0.547 (0.544)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][30/118]\tTime 0.537 (0.546)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][40/118]\tTime 0.579 (0.547)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][50/118]\tTime 0.553 (0.549)\tLoss 0.0032 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [65][60/118]\tTime 0.545 (0.551)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][70/118]\tTime 0.553 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][80/118]\tTime 0.520 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][90/118]\tTime 0.552 (0.553)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][100/118]\tTime 0.542 (0.555)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [65][110/118]\tTime 0.545 (0.557)\tLoss 0.0008 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.332 (0.332)\tLoss 0.2973 (0.2973)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.147 (0.173)\tLoss 0.3111 (0.2763)\tPrec@1 93.359 (93.466)\n",
      "Test: [20/157]\tTime 0.165 (0.168)\tLoss 0.3032 (0.2862)\tPrec@1 92.578 (93.266)\n",
      "Test: [30/157]\tTime 0.183 (0.168)\tLoss 0.2658 (0.2824)\tPrec@1 94.531 (93.334)\n",
      "Test: [40/157]\tTime 0.157 (0.166)\tLoss 0.2978 (0.2747)\tPrec@1 92.188 (93.378)\n",
      "Test: [50/157]\tTime 0.154 (0.164)\tLoss 0.2113 (0.2745)\tPrec@1 94.531 (93.444)\n",
      "Test: [60/157]\tTime 0.147 (0.163)\tLoss 0.2532 (0.2785)\tPrec@1 93.750 (93.295)\n",
      "Test: [70/157]\tTime 0.155 (0.161)\tLoss 0.1943 (0.2785)\tPrec@1 94.531 (93.299)\n",
      "Test: [80/157]\tTime 0.152 (0.160)\tLoss 0.2527 (0.2852)\tPrec@1 93.750 (93.166)\n",
      "Test: [90/157]\tTime 0.147 (0.160)\tLoss 0.2983 (0.2862)\tPrec@1 92.188 (93.119)\n",
      "Test: [100/157]\tTime 0.146 (0.159)\tLoss 0.1625 (0.2849)\tPrec@1 96.484 (93.158)\n",
      "Test: [110/157]\tTime 0.154 (0.160)\tLoss 0.2992 (0.2867)\tPrec@1 92.969 (93.159)\n",
      "Test: [120/157]\tTime 0.149 (0.159)\tLoss 0.3895 (0.2861)\tPrec@1 92.969 (93.217)\n",
      "Test: [130/157]\tTime 0.147 (0.159)\tLoss 0.3247 (0.2851)\tPrec@1 91.797 (93.186)\n",
      "Test: [140/157]\tTime 0.182 (0.161)\tLoss 0.3019 (0.2831)\tPrec@1 92.578 (93.213)\n",
      "Test: [150/157]\tTime 0.178 (0.162)\tLoss 0.2722 (0.2832)\tPrec@1 94.531 (93.199)\n",
      " * Prec@1 93.147\n",
      "Epoch: [66][0/118]\tTime 0.255 (0.255)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][10/118]\tTime 0.571 (0.517)\tLoss 0.0019 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][20/118]\tTime 0.600 (0.532)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][30/118]\tTime 0.571 (0.541)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][40/118]\tTime 0.564 (0.546)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][50/118]\tTime 0.524 (0.546)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][60/118]\tTime 0.526 (0.545)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][70/118]\tTime 0.553 (0.544)\tLoss 0.0021 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][80/118]\tTime 0.583 (0.545)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][90/118]\tTime 0.542 (0.546)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][100/118]\tTime 0.591 (0.546)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [66][110/118]\tTime 0.535 (0.547)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.338 (0.338)\tLoss 0.4164 (0.4164)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.151 (0.169)\tLoss 0.3875 (0.3195)\tPrec@1 91.797 (92.614)\n",
      "Test: [20/157]\tTime 0.158 (0.167)\tLoss 0.2857 (0.3063)\tPrec@1 94.141 (92.876)\n",
      "Test: [30/157]\tTime 0.162 (0.162)\tLoss 0.3262 (0.2992)\tPrec@1 92.188 (92.994)\n",
      "Test: [40/157]\tTime 0.149 (0.161)\tLoss 0.3264 (0.2901)\tPrec@1 92.578 (93.131)\n",
      "Test: [50/157]\tTime 0.155 (0.160)\tLoss 0.2074 (0.2774)\tPrec@1 93.359 (93.306)\n",
      "Test: [60/157]\tTime 0.170 (0.160)\tLoss 0.2173 (0.2773)\tPrec@1 93.359 (93.289)\n",
      "Test: [70/157]\tTime 0.148 (0.160)\tLoss 0.2648 (0.2794)\tPrec@1 92.188 (93.211)\n",
      "Test: [80/157]\tTime 0.171 (0.160)\tLoss 0.1455 (0.2781)\tPrec@1 96.094 (93.273)\n",
      "Test: [90/157]\tTime 0.155 (0.161)\tLoss 0.2851 (0.2817)\tPrec@1 92.578 (93.196)\n",
      "Test: [100/157]\tTime 0.178 (0.161)\tLoss 0.2569 (0.2843)\tPrec@1 92.969 (93.135)\n",
      "Test: [110/157]\tTime 0.164 (0.162)\tLoss 0.3111 (0.2828)\tPrec@1 93.750 (93.183)\n",
      "Test: [120/157]\tTime 0.146 (0.161)\tLoss 0.2744 (0.2837)\tPrec@1 91.797 (93.185)\n",
      "Test: [130/157]\tTime 0.153 (0.162)\tLoss 0.3304 (0.2803)\tPrec@1 92.969 (93.264)\n",
      "Test: [140/157]\tTime 0.172 (0.162)\tLoss 0.2305 (0.2792)\tPrec@1 93.359 (93.260)\n",
      "Test: [150/157]\tTime 0.145 (0.161)\tLoss 0.3217 (0.2824)\tPrec@1 92.578 (93.176)\n",
      " * Prec@1 93.147\n",
      "Epoch: [67][0/118]\tTime 0.267 (0.267)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][10/118]\tTime 0.581 (0.527)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][20/118]\tTime 0.600 (0.540)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][30/118]\tTime 0.574 (0.550)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][40/118]\tTime 0.563 (0.554)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][50/118]\tTime 0.567 (0.558)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][60/118]\tTime 0.561 (0.557)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][70/118]\tTime 0.527 (0.556)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][80/118]\tTime 0.562 (0.557)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][90/118]\tTime 0.535 (0.559)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][100/118]\tTime 0.590 (0.559)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [67][110/118]\tTime 0.640 (0.558)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.312 (0.312)\tLoss 0.3142 (0.3142)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.180 (0.173)\tLoss 0.1273 (0.2659)\tPrec@1 96.484 (93.466)\n",
      "Test: [20/157]\tTime 0.167 (0.165)\tLoss 0.3391 (0.2713)\tPrec@1 91.797 (93.192)\n",
      "Test: [30/157]\tTime 0.147 (0.164)\tLoss 0.2850 (0.2778)\tPrec@1 92.578 (93.183)\n",
      "Test: [40/157]\tTime 0.159 (0.162)\tLoss 0.1278 (0.2706)\tPrec@1 95.703 (93.369)\n",
      "Test: [50/157]\tTime 0.147 (0.162)\tLoss 0.2390 (0.2731)\tPrec@1 92.969 (93.290)\n",
      "Test: [60/157]\tTime 0.150 (0.161)\tLoss 0.2728 (0.2749)\tPrec@1 93.359 (93.270)\n",
      "Test: [70/157]\tTime 0.157 (0.162)\tLoss 0.2387 (0.2769)\tPrec@1 94.922 (93.310)\n",
      "Test: [80/157]\tTime 0.163 (0.162)\tLoss 0.2636 (0.2803)\tPrec@1 94.141 (93.268)\n",
      "Test: [90/157]\tTime 0.159 (0.162)\tLoss 0.3562 (0.2831)\tPrec@1 91.797 (93.188)\n",
      "Test: [100/157]\tTime 0.158 (0.162)\tLoss 0.2326 (0.2820)\tPrec@1 93.359 (93.178)\n",
      "Test: [110/157]\tTime 0.151 (0.162)\tLoss 0.1977 (0.2829)\tPrec@1 93.750 (93.180)\n",
      "Test: [120/157]\tTime 0.148 (0.161)\tLoss 0.2472 (0.2858)\tPrec@1 94.531 (93.159)\n",
      "Test: [130/157]\tTime 0.151 (0.161)\tLoss 0.3668 (0.2871)\tPrec@1 92.188 (93.172)\n",
      "Test: [140/157]\tTime 0.153 (0.161)\tLoss 0.3373 (0.2870)\tPrec@1 92.969 (93.165)\n",
      "Test: [150/157]\tTime 0.154 (0.160)\tLoss 0.1428 (0.2879)\tPrec@1 95.703 (93.158)\n",
      " * Prec@1 93.132\n",
      "Epoch: [68][0/118]\tTime 0.260 (0.260)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][10/118]\tTime 0.530 (0.521)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][20/118]\tTime 0.518 (0.527)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][30/118]\tTime 0.537 (0.534)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][40/118]\tTime 0.560 (0.541)\tLoss 0.0035 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][50/118]\tTime 0.558 (0.542)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][60/118]\tTime 0.545 (0.546)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][70/118]\tTime 0.564 (0.546)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][80/118]\tTime 0.512 (0.548)\tLoss 0.0031 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][90/118]\tTime 0.594 (0.550)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][100/118]\tTime 0.570 (0.552)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [68][110/118]\tTime 0.563 (0.551)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.299 (0.299)\tLoss 0.2478 (0.2478)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.149 (0.173)\tLoss 0.3083 (0.2979)\tPrec@1 93.750 (92.898)\n",
      "Test: [20/157]\tTime 0.158 (0.165)\tLoss 0.3669 (0.2800)\tPrec@1 92.578 (93.192)\n",
      "Test: [30/157]\tTime 0.159 (0.163)\tLoss 0.1901 (0.2679)\tPrec@1 95.312 (93.397)\n",
      "Test: [40/157]\tTime 0.182 (0.162)\tLoss 0.3254 (0.2678)\tPrec@1 92.578 (93.331)\n",
      "Test: [50/157]\tTime 0.158 (0.161)\tLoss 0.2136 (0.2738)\tPrec@1 93.750 (93.267)\n",
      "Test: [60/157]\tTime 0.166 (0.162)\tLoss 0.3702 (0.2766)\tPrec@1 89.844 (93.180)\n",
      "Test: [70/157]\tTime 0.145 (0.161)\tLoss 0.2131 (0.2777)\tPrec@1 96.094 (93.161)\n",
      "Test: [80/157]\tTime 0.153 (0.160)\tLoss 0.1480 (0.2771)\tPrec@1 94.922 (93.205)\n",
      "Test: [90/157]\tTime 0.150 (0.160)\tLoss 0.5422 (0.2822)\tPrec@1 87.891 (93.059)\n",
      "Test: [100/157]\tTime 0.151 (0.160)\tLoss 0.2108 (0.2850)\tPrec@1 94.922 (93.023)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [110/157]\tTime 0.160 (0.159)\tLoss 0.3952 (0.2878)\tPrec@1 91.016 (93.011)\n",
      "Test: [120/157]\tTime 0.147 (0.159)\tLoss 0.5471 (0.2895)\tPrec@1 89.844 (92.978)\n",
      "Test: [130/157]\tTime 0.155 (0.160)\tLoss 0.2765 (0.2900)\tPrec@1 94.531 (92.996)\n",
      "Test: [140/157]\tTime 0.157 (0.160)\tLoss 0.2503 (0.2897)\tPrec@1 93.750 (93.049)\n",
      "Test: [150/157]\tTime 0.149 (0.160)\tLoss 0.2602 (0.2875)\tPrec@1 94.141 (93.090)\n",
      " * Prec@1 93.110\n",
      "Epoch: [69][0/118]\tTime 0.264 (0.264)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][10/118]\tTime 0.529 (0.526)\tLoss 0.0011 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [69][20/118]\tTime 0.570 (0.544)\tLoss 0.0015 (0.0020)\tPrec@1 100.000 (99.981)\n",
      "Epoch: [69][30/118]\tTime 0.540 (0.550)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (99.987)\n",
      "Epoch: [69][40/118]\tTime 0.537 (0.552)\tLoss 0.0016 (0.0018)\tPrec@1 100.000 (99.990)\n",
      "Epoch: [69][50/118]\tTime 0.531 (0.554)\tLoss 0.0012 (0.0018)\tPrec@1 100.000 (99.992)\n",
      "Epoch: [69][60/118]\tTime 0.546 (0.556)\tLoss 0.0012 (0.0017)\tPrec@1 100.000 (99.994)\n",
      "Epoch: [69][70/118]\tTime 0.533 (0.556)\tLoss 0.0019 (0.0017)\tPrec@1 100.000 (99.994)\n",
      "Epoch: [69][80/118]\tTime 0.562 (0.558)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (99.995)\n",
      "Epoch: [69][90/118]\tTime 0.596 (0.558)\tLoss 0.0010 (0.0016)\tPrec@1 100.000 (99.996)\n",
      "Epoch: [69][100/118]\tTime 0.539 (0.557)\tLoss 0.0009 (0.0016)\tPrec@1 100.000 (99.996)\n",
      "Epoch: [69][110/118]\tTime 0.527 (0.556)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (99.996)\n",
      "Test: [0/157]\tTime 0.322 (0.322)\tLoss 0.3451 (0.3451)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.207 (0.179)\tLoss 0.1937 (0.2876)\tPrec@1 93.359 (93.004)\n",
      "Test: [20/157]\tTime 0.162 (0.174)\tLoss 0.3242 (0.2916)\tPrec@1 92.188 (93.080)\n",
      "Test: [30/157]\tTime 0.153 (0.173)\tLoss 0.3724 (0.3005)\tPrec@1 90.625 (92.780)\n",
      "Test: [40/157]\tTime 0.150 (0.168)\tLoss 0.2459 (0.2884)\tPrec@1 94.141 (93.016)\n",
      "Test: [50/157]\tTime 0.156 (0.165)\tLoss 0.3244 (0.2935)\tPrec@1 92.969 (93.022)\n",
      "Test: [60/157]\tTime 0.149 (0.163)\tLoss 0.2726 (0.2927)\tPrec@1 94.922 (93.052)\n",
      "Test: [70/157]\tTime 0.150 (0.162)\tLoss 0.2753 (0.2885)\tPrec@1 94.141 (93.145)\n",
      "Test: [80/157]\tTime 0.152 (0.161)\tLoss 0.1406 (0.2897)\tPrec@1 97.266 (93.070)\n",
      "Test: [90/157]\tTime 0.165 (0.161)\tLoss 0.3182 (0.2877)\tPrec@1 93.359 (93.102)\n",
      "Test: [100/157]\tTime 0.184 (0.162)\tLoss 0.2237 (0.2875)\tPrec@1 93.750 (93.123)\n",
      "Test: [110/157]\tTime 0.147 (0.162)\tLoss 0.3530 (0.2890)\tPrec@1 91.406 (93.078)\n",
      "Test: [120/157]\tTime 0.149 (0.161)\tLoss 0.1870 (0.2879)\tPrec@1 95.312 (93.127)\n",
      "Test: [130/157]\tTime 0.153 (0.161)\tLoss 0.2677 (0.2907)\tPrec@1 94.531 (93.070)\n",
      "Test: [140/157]\tTime 0.165 (0.161)\tLoss 0.2818 (0.2893)\tPrec@1 93.750 (93.107)\n",
      "Test: [150/157]\tTime 0.156 (0.160)\tLoss 0.2888 (0.2905)\tPrec@1 92.969 (93.093)\n",
      " * Prec@1 93.112\n",
      "Epoch: [70][0/118]\tTime 0.286 (0.286)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][10/118]\tTime 0.533 (0.550)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][20/118]\tTime 0.528 (0.555)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][30/118]\tTime 0.554 (0.554)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][40/118]\tTime 0.557 (0.551)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][50/118]\tTime 0.550 (0.552)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][60/118]\tTime 0.555 (0.552)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][70/118]\tTime 0.565 (0.555)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][80/118]\tTime 0.611 (0.557)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][90/118]\tTime 0.543 (0.556)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][100/118]\tTime 0.590 (0.556)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [70][110/118]\tTime 0.517 (0.555)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.300 (0.300)\tLoss 0.3396 (0.3396)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.155 (0.174)\tLoss 0.3135 (0.3011)\tPrec@1 90.234 (92.791)\n",
      "Test: [20/157]\tTime 0.152 (0.166)\tLoss 0.3029 (0.2875)\tPrec@1 92.188 (93.118)\n",
      "Test: [30/157]\tTime 0.158 (0.165)\tLoss 0.4541 (0.3043)\tPrec@1 90.234 (92.830)\n",
      "Test: [40/157]\tTime 0.147 (0.161)\tLoss 0.4485 (0.2986)\tPrec@1 89.844 (92.893)\n",
      "Test: [50/157]\tTime 0.145 (0.160)\tLoss 0.2392 (0.2985)\tPrec@1 94.531 (92.938)\n",
      "Test: [60/157]\tTime 0.185 (0.161)\tLoss 0.3021 (0.2952)\tPrec@1 92.188 (93.033)\n",
      "Test: [70/157]\tTime 0.157 (0.161)\tLoss 0.3264 (0.2923)\tPrec@1 92.578 (93.062)\n",
      "Test: [80/157]\tTime 0.150 (0.160)\tLoss 0.2182 (0.2939)\tPrec@1 92.578 (93.027)\n",
      "Test: [90/157]\tTime 0.146 (0.161)\tLoss 0.3062 (0.2945)\tPrec@1 92.188 (93.012)\n",
      "Test: [100/157]\tTime 0.152 (0.161)\tLoss 0.3564 (0.2895)\tPrec@1 91.797 (93.100)\n",
      "Test: [110/157]\tTime 0.159 (0.161)\tLoss 0.3712 (0.2904)\tPrec@1 92.578 (93.099)\n",
      "Test: [120/157]\tTime 0.184 (0.161)\tLoss 0.1905 (0.2894)\tPrec@1 96.094 (93.120)\n",
      "Test: [130/157]\tTime 0.145 (0.160)\tLoss 0.3537 (0.2884)\tPrec@1 91.406 (93.133)\n",
      "Test: [140/157]\tTime 0.149 (0.160)\tLoss 0.2655 (0.2871)\tPrec@1 91.406 (93.152)\n",
      "Test: [150/157]\tTime 0.152 (0.160)\tLoss 0.3700 (0.2870)\tPrec@1 91.016 (93.158)\n",
      " * Prec@1 93.135\n",
      "Epoch: [71][0/118]\tTime 0.266 (0.266)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][10/118]\tTime 0.572 (0.533)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][20/118]\tTime 0.578 (0.542)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][30/118]\tTime 0.511 (0.548)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][40/118]\tTime 0.527 (0.548)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][50/118]\tTime 0.546 (0.550)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][60/118]\tTime 0.553 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][70/118]\tTime 0.565 (0.554)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][80/118]\tTime 0.554 (0.553)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][90/118]\tTime 0.613 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][100/118]\tTime 0.608 (0.555)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [71][110/118]\tTime 0.543 (0.555)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.296 (0.296)\tLoss 0.4045 (0.4045)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.151 (0.170)\tLoss 0.3889 (0.2886)\tPrec@1 92.188 (93.572)\n",
      "Test: [20/157]\tTime 0.164 (0.166)\tLoss 0.4205 (0.2891)\tPrec@1 91.406 (93.378)\n",
      "Test: [30/157]\tTime 0.144 (0.165)\tLoss 0.2401 (0.2817)\tPrec@1 93.359 (93.359)\n",
      "Test: [40/157]\tTime 0.153 (0.163)\tLoss 0.2466 (0.2803)\tPrec@1 93.750 (93.388)\n",
      "Test: [50/157]\tTime 0.175 (0.162)\tLoss 0.3276 (0.2814)\tPrec@1 91.797 (93.260)\n",
      "Test: [60/157]\tTime 0.183 (0.161)\tLoss 0.3525 (0.2854)\tPrec@1 93.750 (93.238)\n",
      "Test: [70/157]\tTime 0.181 (0.163)\tLoss 0.1527 (0.2826)\tPrec@1 96.094 (93.222)\n",
      "Test: [80/157]\tTime 0.149 (0.164)\tLoss 0.4135 (0.2845)\tPrec@1 90.234 (93.210)\n",
      "Test: [90/157]\tTime 0.154 (0.164)\tLoss 0.2284 (0.2828)\tPrec@1 93.750 (93.196)\n",
      "Test: [100/157]\tTime 0.151 (0.163)\tLoss 0.2939 (0.2846)\tPrec@1 91.406 (93.135)\n",
      "Test: [110/157]\tTime 0.157 (0.162)\tLoss 0.2461 (0.2829)\tPrec@1 92.188 (93.138)\n",
      "Test: [120/157]\tTime 0.156 (0.161)\tLoss 0.2783 (0.2856)\tPrec@1 92.578 (93.127)\n",
      "Test: [130/157]\tTime 0.162 (0.161)\tLoss 0.4112 (0.2886)\tPrec@1 91.797 (93.097)\n",
      "Test: [140/157]\tTime 0.147 (0.161)\tLoss 0.2134 (0.2858)\tPrec@1 94.531 (93.152)\n",
      "Test: [150/157]\tTime 0.190 (0.161)\tLoss 0.2102 (0.2850)\tPrec@1 94.531 (93.171)\n",
      " * Prec@1 93.160\n",
      "Epoch: [72][0/118]\tTime 0.256 (0.256)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][10/118]\tTime 0.536 (0.519)\tLoss 0.0022 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][20/118]\tTime 0.565 (0.531)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][30/118]\tTime 0.548 (0.538)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][40/118]\tTime 0.551 (0.543)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][50/118]\tTime 0.586 (0.546)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][60/118]\tTime 0.532 (0.551)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][70/118]\tTime 0.568 (0.549)\tLoss 0.0022 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][80/118]\tTime 0.534 (0.549)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][90/118]\tTime 0.564 (0.552)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [72][100/118]\tTime 0.567 (0.553)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [72][110/118]\tTime 0.578 (0.553)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.324 (0.324)\tLoss 0.2692 (0.2692)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.152 (0.171)\tLoss 0.3304 (0.2888)\tPrec@1 92.188 (93.466)\n",
      "Test: [20/157]\tTime 0.157 (0.163)\tLoss 0.2341 (0.2892)\tPrec@1 95.312 (93.285)\n",
      "Test: [30/157]\tTime 0.153 (0.163)\tLoss 0.3213 (0.2929)\tPrec@1 91.797 (93.133)\n",
      "Test: [40/157]\tTime 0.160 (0.162)\tLoss 0.2639 (0.2869)\tPrec@1 94.141 (93.340)\n",
      "Test: [50/157]\tTime 0.207 (0.164)\tLoss 0.1769 (0.2822)\tPrec@1 96.484 (93.375)\n",
      "Test: [60/157]\tTime 0.158 (0.164)\tLoss 0.2534 (0.2772)\tPrec@1 93.359 (93.481)\n",
      "Test: [70/157]\tTime 0.155 (0.163)\tLoss 0.4451 (0.2807)\tPrec@1 91.406 (93.392)\n",
      "Test: [80/157]\tTime 0.151 (0.163)\tLoss 0.2645 (0.2825)\tPrec@1 93.750 (93.359)\n",
      "Test: [90/157]\tTime 0.160 (0.162)\tLoss 0.3627 (0.2861)\tPrec@1 92.188 (93.286)\n",
      "Test: [100/157]\tTime 0.159 (0.161)\tLoss 0.2202 (0.2865)\tPrec@1 94.141 (93.259)\n",
      "Test: [110/157]\tTime 0.146 (0.161)\tLoss 0.4057 (0.2908)\tPrec@1 92.578 (93.190)\n",
      "Test: [120/157]\tTime 0.155 (0.160)\tLoss 0.2446 (0.2896)\tPrec@1 92.578 (93.227)\n",
      "Test: [130/157]\tTime 0.155 (0.161)\tLoss 0.2616 (0.2888)\tPrec@1 93.359 (93.204)\n",
      "Test: [140/157]\tTime 0.161 (0.161)\tLoss 0.3222 (0.2882)\tPrec@1 91.406 (93.199)\n",
      "Test: [150/157]\tTime 0.203 (0.161)\tLoss 0.3144 (0.2900)\tPrec@1 92.969 (93.168)\n",
      " * Prec@1 93.155\n",
      "Epoch: [73][0/118]\tTime 0.261 (0.261)\tLoss 0.0009 (0.0009)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][10/118]\tTime 0.532 (0.525)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][20/118]\tTime 0.581 (0.533)\tLoss 0.0017 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][30/118]\tTime 0.519 (0.538)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][40/118]\tTime 0.529 (0.537)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][50/118]\tTime 0.517 (0.540)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][60/118]\tTime 0.577 (0.544)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][70/118]\tTime 0.564 (0.548)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][80/118]\tTime 0.557 (0.551)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][90/118]\tTime 0.554 (0.550)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][100/118]\tTime 0.514 (0.549)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [73][110/118]\tTime 0.514 (0.548)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.357 (0.357)\tLoss 0.2628 (0.2628)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.148 (0.168)\tLoss 0.2701 (0.3035)\tPrec@1 91.797 (92.543)\n",
      "Test: [20/157]\tTime 0.150 (0.162)\tLoss 0.2740 (0.2860)\tPrec@1 93.750 (93.229)\n",
      "Test: [30/157]\tTime 0.158 (0.161)\tLoss 0.3040 (0.2795)\tPrec@1 93.750 (93.435)\n",
      "Test: [40/157]\tTime 0.173 (0.163)\tLoss 0.2908 (0.2728)\tPrec@1 93.750 (93.569)\n",
      "Test: [50/157]\tTime 0.154 (0.162)\tLoss 0.2624 (0.2712)\tPrec@1 94.141 (93.559)\n",
      "Test: [60/157]\tTime 0.153 (0.160)\tLoss 0.1648 (0.2717)\tPrec@1 94.141 (93.519)\n",
      "Test: [70/157]\tTime 0.147 (0.159)\tLoss 0.2076 (0.2778)\tPrec@1 94.922 (93.392)\n",
      "Test: [80/157]\tTime 0.153 (0.159)\tLoss 0.3271 (0.2790)\tPrec@1 92.188 (93.374)\n",
      "Test: [90/157]\tTime 0.171 (0.159)\tLoss 0.3079 (0.2835)\tPrec@1 91.797 (93.282)\n",
      "Test: [100/157]\tTime 0.150 (0.158)\tLoss 0.3276 (0.2815)\tPrec@1 90.625 (93.301)\n",
      "Test: [110/157]\tTime 0.178 (0.159)\tLoss 0.2889 (0.2847)\tPrec@1 94.531 (93.261)\n",
      "Test: [120/157]\tTime 0.194 (0.159)\tLoss 0.2711 (0.2862)\tPrec@1 92.188 (93.224)\n",
      "Test: [130/157]\tTime 0.175 (0.160)\tLoss 0.3618 (0.2876)\tPrec@1 91.406 (93.207)\n",
      "Test: [140/157]\tTime 0.152 (0.160)\tLoss 0.2855 (0.2872)\tPrec@1 93.359 (93.196)\n",
      "Test: [150/157]\tTime 0.165 (0.160)\tLoss 0.2411 (0.2865)\tPrec@1 94.922 (93.217)\n",
      " * Prec@1 93.207\n",
      "Epoch: [74][0/118]\tTime 0.257 (0.257)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][10/118]\tTime 0.554 (0.524)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][20/118]\tTime 0.538 (0.540)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][30/118]\tTime 0.595 (0.545)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][40/118]\tTime 0.561 (0.548)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][50/118]\tTime 0.564 (0.551)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][60/118]\tTime 0.529 (0.551)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][70/118]\tTime 0.526 (0.552)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][80/118]\tTime 0.550 (0.553)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][90/118]\tTime 0.575 (0.554)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][100/118]\tTime 0.595 (0.554)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [74][110/118]\tTime 0.538 (0.556)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.331 (0.331)\tLoss 0.3937 (0.3937)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.167 (0.180)\tLoss 0.3069 (0.2953)\tPrec@1 91.797 (93.004)\n",
      "Test: [20/157]\tTime 0.168 (0.170)\tLoss 0.1650 (0.2873)\tPrec@1 95.312 (93.285)\n",
      "Test: [30/157]\tTime 0.156 (0.170)\tLoss 0.2132 (0.2754)\tPrec@1 94.141 (93.397)\n",
      "Test: [40/157]\tTime 0.150 (0.168)\tLoss 0.3056 (0.2797)\tPrec@1 90.625 (93.188)\n",
      "Test: [50/157]\tTime 0.149 (0.165)\tLoss 0.2857 (0.2848)\tPrec@1 94.922 (93.107)\n",
      "Test: [60/157]\tTime 0.152 (0.164)\tLoss 0.3608 (0.2913)\tPrec@1 92.188 (93.071)\n",
      "Test: [70/157]\tTime 0.147 (0.163)\tLoss 0.1745 (0.2938)\tPrec@1 94.531 (93.024)\n",
      "Test: [80/157]\tTime 0.163 (0.163)\tLoss 0.1167 (0.2878)\tPrec@1 96.094 (93.162)\n",
      "Test: [90/157]\tTime 0.153 (0.163)\tLoss 0.3301 (0.2897)\tPrec@1 91.797 (93.153)\n",
      "Test: [100/157]\tTime 0.163 (0.162)\tLoss 0.2148 (0.2877)\tPrec@1 94.922 (93.201)\n",
      "Test: [110/157]\tTime 0.146 (0.163)\tLoss 0.2312 (0.2871)\tPrec@1 94.922 (93.194)\n",
      "Test: [120/157]\tTime 0.212 (0.162)\tLoss 0.3281 (0.2891)\tPrec@1 91.406 (93.169)\n",
      "Test: [130/157]\tTime 0.158 (0.162)\tLoss 0.1666 (0.2863)\tPrec@1 95.312 (93.189)\n",
      "Test: [140/157]\tTime 0.151 (0.162)\tLoss 0.3639 (0.2879)\tPrec@1 91.797 (93.149)\n",
      "Test: [150/157]\tTime 0.149 (0.162)\tLoss 0.2534 (0.2877)\tPrec@1 92.188 (93.171)\n",
      " * Prec@1 93.183\n",
      "Epoch: [75][0/118]\tTime 0.264 (0.264)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][10/118]\tTime 0.556 (0.537)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][20/118]\tTime 0.586 (0.549)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][30/118]\tTime 0.563 (0.550)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][40/118]\tTime 0.545 (0.551)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][50/118]\tTime 0.625 (0.552)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][60/118]\tTime 0.560 (0.554)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][70/118]\tTime 0.566 (0.557)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][80/118]\tTime 0.516 (0.558)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][90/118]\tTime 0.548 (0.556)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][100/118]\tTime 0.573 (0.556)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [75][110/118]\tTime 0.585 (0.556)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.324 (0.324)\tLoss 0.2614 (0.2614)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.153 (0.177)\tLoss 0.3784 (0.2747)\tPrec@1 91.797 (93.217)\n",
      "Test: [20/157]\tTime 0.181 (0.168)\tLoss 0.2793 (0.2876)\tPrec@1 94.531 (93.062)\n",
      "Test: [30/157]\tTime 0.151 (0.165)\tLoss 0.2404 (0.2825)\tPrec@1 94.922 (93.259)\n",
      "Test: [40/157]\tTime 0.154 (0.163)\tLoss 0.3653 (0.2864)\tPrec@1 91.406 (93.121)\n",
      "Test: [50/157]\tTime 0.152 (0.162)\tLoss 0.1969 (0.2897)\tPrec@1 95.312 (93.130)\n",
      "Test: [60/157]\tTime 0.162 (0.162)\tLoss 0.2761 (0.2891)\tPrec@1 93.750 (93.231)\n",
      "Test: [70/157]\tTime 0.144 (0.161)\tLoss 0.1993 (0.2899)\tPrec@1 94.922 (93.205)\n",
      "Test: [80/157]\tTime 0.219 (0.161)\tLoss 0.2150 (0.2912)\tPrec@1 93.359 (93.152)\n",
      "Test: [90/157]\tTime 0.176 (0.161)\tLoss 0.2291 (0.2945)\tPrec@1 92.969 (93.089)\n",
      "Test: [100/157]\tTime 0.148 (0.160)\tLoss 0.3245 (0.2938)\tPrec@1 92.578 (93.096)\n",
      "Test: [110/157]\tTime 0.153 (0.159)\tLoss 0.1794 (0.2921)\tPrec@1 95.703 (93.127)\n",
      "Test: [120/157]\tTime 0.151 (0.159)\tLoss 0.2368 (0.2900)\tPrec@1 95.312 (93.143)\n",
      "Test: [130/157]\tTime 0.162 (0.159)\tLoss 0.2478 (0.2900)\tPrec@1 94.531 (93.174)\n",
      "Test: [140/157]\tTime 0.160 (0.159)\tLoss 0.3071 (0.2909)\tPrec@1 92.188 (93.182)\n",
      "Test: [150/157]\tTime 0.187 (0.159)\tLoss 0.3895 (0.2883)\tPrec@1 91.016 (93.225)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * Prec@1 93.218\n",
      "Epoch: [76][0/118]\tTime 0.260 (0.260)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][10/118]\tTime 0.520 (0.524)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][20/118]\tTime 0.514 (0.535)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][30/118]\tTime 0.549 (0.544)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][40/118]\tTime 0.504 (0.545)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][50/118]\tTime 0.559 (0.547)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][60/118]\tTime 0.580 (0.550)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][70/118]\tTime 0.585 (0.551)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][80/118]\tTime 0.566 (0.552)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][90/118]\tTime 0.554 (0.554)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][100/118]\tTime 0.547 (0.554)\tLoss 0.0021 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [76][110/118]\tTime 0.546 (0.555)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.324 (0.324)\tLoss 0.1420 (0.1420)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.149 (0.173)\tLoss 0.2376 (0.2581)\tPrec@1 92.578 (93.928)\n",
      "Test: [20/157]\tTime 0.158 (0.165)\tLoss 0.2339 (0.2617)\tPrec@1 94.922 (93.824)\n",
      "Test: [30/157]\tTime 0.155 (0.162)\tLoss 0.2730 (0.2595)\tPrec@1 94.531 (93.826)\n",
      "Test: [40/157]\tTime 0.148 (0.164)\tLoss 0.1738 (0.2678)\tPrec@1 94.531 (93.569)\n",
      "Test: [50/157]\tTime 0.158 (0.163)\tLoss 0.3623 (0.2775)\tPrec@1 92.188 (93.260)\n",
      "Test: [60/157]\tTime 0.149 (0.164)\tLoss 0.3844 (0.2811)\tPrec@1 91.406 (93.218)\n",
      "Test: [70/157]\tTime 0.185 (0.164)\tLoss 0.1796 (0.2834)\tPrec@1 95.703 (93.255)\n",
      "Test: [80/157]\tTime 0.151 (0.162)\tLoss 0.2406 (0.2867)\tPrec@1 92.969 (93.210)\n",
      "Test: [90/157]\tTime 0.155 (0.161)\tLoss 0.1948 (0.2850)\tPrec@1 93.750 (93.179)\n",
      "Test: [100/157]\tTime 0.152 (0.161)\tLoss 0.2264 (0.2827)\tPrec@1 94.922 (93.239)\n",
      "Test: [110/157]\tTime 0.162 (0.161)\tLoss 0.2081 (0.2820)\tPrec@1 92.969 (93.257)\n",
      "Test: [120/157]\tTime 0.156 (0.161)\tLoss 0.3182 (0.2803)\tPrec@1 92.969 (93.304)\n",
      "Test: [130/157]\tTime 0.151 (0.161)\tLoss 0.3256 (0.2828)\tPrec@1 92.188 (93.249)\n",
      "Test: [140/157]\tTime 0.154 (0.160)\tLoss 0.2837 (0.2850)\tPrec@1 94.922 (93.226)\n",
      "Test: [150/157]\tTime 0.160 (0.160)\tLoss 0.4077 (0.2865)\tPrec@1 92.188 (93.215)\n",
      " * Prec@1 93.235\n",
      "Epoch: [77][0/118]\tTime 0.271 (0.271)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][10/118]\tTime 0.514 (0.509)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][20/118]\tTime 0.527 (0.537)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][30/118]\tTime 0.543 (0.546)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][40/118]\tTime 0.591 (0.547)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][50/118]\tTime 0.514 (0.549)\tLoss 0.0023 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][60/118]\tTime 0.603 (0.552)\tLoss 0.0021 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][70/118]\tTime 0.579 (0.553)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][80/118]\tTime 0.541 (0.553)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][90/118]\tTime 0.570 (0.554)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][100/118]\tTime 0.569 (0.555)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [77][110/118]\tTime 0.526 (0.555)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.291 (0.291)\tLoss 0.3366 (0.3366)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.149 (0.167)\tLoss 0.3698 (0.2841)\tPrec@1 91.016 (93.182)\n",
      "Test: [20/157]\tTime 0.155 (0.164)\tLoss 0.2857 (0.2886)\tPrec@1 94.141 (93.062)\n",
      "Test: [30/157]\tTime 0.150 (0.162)\tLoss 0.3659 (0.2878)\tPrec@1 91.016 (93.233)\n",
      "Test: [40/157]\tTime 0.162 (0.163)\tLoss 0.2402 (0.2911)\tPrec@1 94.531 (93.178)\n",
      "Test: [50/157]\tTime 0.148 (0.163)\tLoss 0.1531 (0.2885)\tPrec@1 94.922 (93.229)\n",
      "Test: [60/157]\tTime 0.182 (0.163)\tLoss 0.2912 (0.2982)\tPrec@1 92.969 (93.116)\n",
      "Test: [70/157]\tTime 0.160 (0.162)\tLoss 0.3700 (0.2917)\tPrec@1 91.406 (93.161)\n",
      "Test: [80/157]\tTime 0.152 (0.161)\tLoss 0.2492 (0.2938)\tPrec@1 92.969 (93.133)\n",
      "Test: [90/157]\tTime 0.152 (0.161)\tLoss 0.3939 (0.2938)\tPrec@1 91.797 (93.140)\n",
      "Test: [100/157]\tTime 0.149 (0.161)\tLoss 0.2981 (0.2899)\tPrec@1 92.578 (93.193)\n",
      "Test: [110/157]\tTime 0.151 (0.161)\tLoss 0.1653 (0.2887)\tPrec@1 95.703 (93.219)\n",
      "Test: [120/157]\tTime 0.146 (0.161)\tLoss 0.2216 (0.2892)\tPrec@1 95.312 (93.195)\n",
      "Test: [130/157]\tTime 0.196 (0.162)\tLoss 0.3334 (0.2899)\tPrec@1 91.797 (93.192)\n",
      "Test: [140/157]\tTime 0.164 (0.161)\tLoss 0.2010 (0.2887)\tPrec@1 94.531 (93.204)\n",
      "Test: [150/157]\tTime 0.158 (0.161)\tLoss 0.2209 (0.2854)\tPrec@1 94.141 (93.243)\n",
      " * Prec@1 93.275\n",
      "Epoch: [78][0/118]\tTime 0.255 (0.255)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][10/118]\tTime 0.567 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][20/118]\tTime 0.538 (0.537)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][30/118]\tTime 0.538 (0.543)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][40/118]\tTime 0.545 (0.547)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][50/118]\tTime 0.548 (0.549)\tLoss 0.0028 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][60/118]\tTime 0.545 (0.550)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][70/118]\tTime 0.526 (0.550)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][80/118]\tTime 0.577 (0.551)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][90/118]\tTime 0.602 (0.551)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][100/118]\tTime 0.552 (0.553)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [78][110/118]\tTime 0.564 (0.553)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.364 (0.364)\tLoss 0.3445 (0.3445)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.155 (0.182)\tLoss 0.3327 (0.3286)\tPrec@1 92.969 (92.649)\n",
      "Test: [20/157]\tTime 0.152 (0.171)\tLoss 0.4142 (0.3296)\tPrec@1 90.625 (92.597)\n",
      "Test: [30/157]\tTime 0.154 (0.165)\tLoss 0.1396 (0.3119)\tPrec@1 96.484 (92.994)\n",
      "Test: [40/157]\tTime 0.145 (0.162)\tLoss 0.2416 (0.3068)\tPrec@1 94.922 (93.064)\n",
      "Test: [50/157]\tTime 0.142 (0.161)\tLoss 0.1971 (0.3022)\tPrec@1 95.312 (93.076)\n",
      "Test: [60/157]\tTime 0.158 (0.161)\tLoss 0.3255 (0.3014)\tPrec@1 92.969 (93.097)\n",
      "Test: [70/157]\tTime 0.155 (0.161)\tLoss 0.2855 (0.2972)\tPrec@1 92.578 (93.172)\n",
      "Test: [80/157]\tTime 0.167 (0.160)\tLoss 0.3199 (0.2937)\tPrec@1 90.625 (93.200)\n",
      "Test: [90/157]\tTime 0.152 (0.160)\tLoss 0.3698 (0.2936)\tPrec@1 91.016 (93.209)\n",
      "Test: [100/157]\tTime 0.162 (0.160)\tLoss 0.2468 (0.2910)\tPrec@1 94.531 (93.224)\n",
      "Test: [110/157]\tTime 0.152 (0.161)\tLoss 0.3035 (0.2908)\tPrec@1 93.359 (93.212)\n",
      "Test: [120/157]\tTime 0.182 (0.161)\tLoss 0.2128 (0.2883)\tPrec@1 94.531 (93.279)\n",
      "Test: [130/157]\tTime 0.146 (0.160)\tLoss 0.4247 (0.2875)\tPrec@1 89.844 (93.270)\n",
      "Test: [140/157]\tTime 0.148 (0.160)\tLoss 0.3277 (0.2878)\tPrec@1 92.188 (93.268)\n",
      "Test: [150/157]\tTime 0.148 (0.160)\tLoss 0.2054 (0.2867)\tPrec@1 94.922 (93.290)\n",
      " * Prec@1 93.270\n",
      "Epoch: [79][0/118]\tTime 0.267 (0.267)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][10/118]\tTime 0.577 (0.527)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][20/118]\tTime 0.532 (0.539)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][30/118]\tTime 0.538 (0.543)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][40/118]\tTime 0.552 (0.544)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][50/118]\tTime 0.564 (0.547)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][60/118]\tTime 0.614 (0.547)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][70/118]\tTime 0.516 (0.548)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][80/118]\tTime 0.583 (0.549)\tLoss 0.0023 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][90/118]\tTime 0.568 (0.550)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][100/118]\tTime 0.527 (0.550)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [79][110/118]\tTime 0.628 (0.553)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.324 (0.324)\tLoss 0.3073 (0.3073)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.165 (0.166)\tLoss 0.2538 (0.2653)\tPrec@1 93.750 (93.466)\n",
      "Test: [20/157]\tTime 0.157 (0.166)\tLoss 0.3009 (0.2810)\tPrec@1 93.359 (93.080)\n",
      "Test: [30/157]\tTime 0.162 (0.165)\tLoss 0.2622 (0.2762)\tPrec@1 92.578 (93.259)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [40/157]\tTime 0.153 (0.164)\tLoss 0.3235 (0.2851)\tPrec@1 92.578 (93.169)\n",
      "Test: [50/157]\tTime 0.149 (0.163)\tLoss 0.3530 (0.2838)\tPrec@1 91.797 (93.176)\n",
      "Test: [60/157]\tTime 0.147 (0.162)\tLoss 0.3108 (0.2869)\tPrec@1 91.406 (93.026)\n",
      "Test: [70/157]\tTime 0.158 (0.161)\tLoss 0.3506 (0.2889)\tPrec@1 92.188 (93.040)\n",
      "Test: [80/157]\tTime 0.152 (0.160)\tLoss 0.2275 (0.2890)\tPrec@1 95.312 (93.089)\n",
      "Test: [90/157]\tTime 0.155 (0.160)\tLoss 0.2434 (0.2874)\tPrec@1 93.359 (93.149)\n",
      "Test: [100/157]\tTime 0.176 (0.160)\tLoss 0.2184 (0.2850)\tPrec@1 94.922 (93.193)\n",
      "Test: [110/157]\tTime 0.165 (0.160)\tLoss 0.3078 (0.2846)\tPrec@1 91.406 (93.162)\n",
      "Test: [120/157]\tTime 0.171 (0.160)\tLoss 0.2727 (0.2858)\tPrec@1 93.750 (93.188)\n",
      "Test: [130/157]\tTime 0.149 (0.160)\tLoss 0.3438 (0.2847)\tPrec@1 92.578 (93.228)\n",
      "Test: [140/157]\tTime 0.173 (0.160)\tLoss 0.2701 (0.2856)\tPrec@1 93.750 (93.213)\n",
      "Test: [150/157]\tTime 0.163 (0.159)\tLoss 0.2680 (0.2850)\tPrec@1 94.531 (93.253)\n",
      " * Prec@1 93.243\n",
      "Epoch: [80][0/118]\tTime 0.259 (0.259)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][10/118]\tTime 0.547 (0.530)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][20/118]\tTime 0.513 (0.534)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][30/118]\tTime 0.545 (0.543)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][40/118]\tTime 0.534 (0.549)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][50/118]\tTime 0.536 (0.548)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][60/118]\tTime 0.605 (0.549)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][70/118]\tTime 0.557 (0.550)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][80/118]\tTime 0.519 (0.550)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][90/118]\tTime 0.557 (0.550)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][100/118]\tTime 0.509 (0.549)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [80][110/118]\tTime 0.530 (0.549)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.320 (0.320)\tLoss 0.3564 (0.3564)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.175 (0.169)\tLoss 0.2564 (0.3303)\tPrec@1 94.922 (92.152)\n",
      "Test: [20/157]\tTime 0.164 (0.163)\tLoss 0.2330 (0.2843)\tPrec@1 93.359 (93.285)\n",
      "Test: [30/157]\tTime 0.145 (0.160)\tLoss 0.3729 (0.2900)\tPrec@1 91.797 (93.133)\n",
      "Test: [40/157]\tTime 0.157 (0.160)\tLoss 0.3390 (0.2914)\tPrec@1 92.969 (93.026)\n",
      "Test: [50/157]\tTime 0.166 (0.162)\tLoss 0.2102 (0.2867)\tPrec@1 94.531 (93.076)\n",
      "Test: [60/157]\tTime 0.156 (0.162)\tLoss 0.3529 (0.2897)\tPrec@1 92.969 (93.020)\n",
      "Test: [70/157]\tTime 0.159 (0.161)\tLoss 0.3731 (0.2871)\tPrec@1 91.797 (93.095)\n",
      "Test: [80/157]\tTime 0.156 (0.161)\tLoss 0.1195 (0.2882)\tPrec@1 96.094 (93.147)\n",
      "Test: [90/157]\tTime 0.158 (0.162)\tLoss 0.2423 (0.2866)\tPrec@1 94.531 (93.179)\n",
      "Test: [100/157]\tTime 0.182 (0.162)\tLoss 0.3959 (0.2864)\tPrec@1 89.844 (93.170)\n",
      "Test: [110/157]\tTime 0.148 (0.162)\tLoss 0.1688 (0.2845)\tPrec@1 95.312 (93.190)\n",
      "Test: [120/157]\tTime 0.154 (0.161)\tLoss 0.2213 (0.2854)\tPrec@1 93.359 (93.208)\n",
      "Test: [130/157]\tTime 0.170 (0.161)\tLoss 0.4212 (0.2846)\tPrec@1 90.234 (93.231)\n",
      "Test: [140/157]\tTime 0.156 (0.161)\tLoss 0.2569 (0.2840)\tPrec@1 95.703 (93.251)\n",
      "Test: [150/157]\tTime 0.155 (0.161)\tLoss 0.1686 (0.2832)\tPrec@1 95.703 (93.287)\n",
      " * Prec@1 93.255\n",
      "Epoch: [81][0/118]\tTime 0.269 (0.269)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][10/118]\tTime 0.518 (0.500)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][20/118]\tTime 0.523 (0.516)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][30/118]\tTime 0.532 (0.525)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][40/118]\tTime 0.561 (0.534)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][50/118]\tTime 0.532 (0.539)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][60/118]\tTime 0.535 (0.542)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][70/118]\tTime 0.544 (0.542)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][80/118]\tTime 0.565 (0.540)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][90/118]\tTime 0.577 (0.542)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][100/118]\tTime 0.590 (0.543)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [81][110/118]\tTime 0.622 (0.545)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.297 (0.297)\tLoss 0.2683 (0.2683)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.150 (0.168)\tLoss 0.3463 (0.2926)\tPrec@1 92.188 (92.969)\n",
      "Test: [20/157]\tTime 0.159 (0.164)\tLoss 0.2386 (0.2991)\tPrec@1 94.141 (92.894)\n",
      "Test: [30/157]\tTime 0.151 (0.166)\tLoss 0.3214 (0.2921)\tPrec@1 93.359 (93.057)\n",
      "Test: [40/157]\tTime 0.162 (0.163)\tLoss 0.1675 (0.2879)\tPrec@1 94.141 (93.102)\n",
      "Test: [50/157]\tTime 0.155 (0.163)\tLoss 0.3064 (0.2828)\tPrec@1 94.141 (93.336)\n",
      "Test: [60/157]\tTime 0.148 (0.161)\tLoss 0.2678 (0.2822)\tPrec@1 93.359 (93.359)\n",
      "Test: [70/157]\tTime 0.168 (0.162)\tLoss 0.1453 (0.2803)\tPrec@1 96.875 (93.354)\n",
      "Test: [80/157]\tTime 0.146 (0.160)\tLoss 0.3327 (0.2823)\tPrec@1 92.578 (93.306)\n",
      "Test: [90/157]\tTime 0.150 (0.160)\tLoss 0.3368 (0.2792)\tPrec@1 92.578 (93.398)\n",
      "Test: [100/157]\tTime 0.156 (0.159)\tLoss 0.2798 (0.2807)\tPrec@1 94.922 (93.356)\n",
      "Test: [110/157]\tTime 0.194 (0.159)\tLoss 0.3284 (0.2825)\tPrec@1 91.016 (93.321)\n",
      "Test: [120/157]\tTime 0.154 (0.159)\tLoss 0.3324 (0.2832)\tPrec@1 93.359 (93.321)\n",
      "Test: [130/157]\tTime 0.159 (0.159)\tLoss 0.2587 (0.2871)\tPrec@1 93.359 (93.270)\n",
      "Test: [140/157]\tTime 0.150 (0.159)\tLoss 0.1690 (0.2870)\tPrec@1 95.312 (93.224)\n",
      "Test: [150/157]\tTime 0.177 (0.160)\tLoss 0.2129 (0.2848)\tPrec@1 93.750 (93.248)\n",
      " * Prec@1 93.240\n",
      "Epoch: [82][0/118]\tTime 0.282 (0.282)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][10/118]\tTime 0.530 (0.523)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][20/118]\tTime 0.543 (0.538)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][30/118]\tTime 0.597 (0.546)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][40/118]\tTime 0.554 (0.547)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][50/118]\tTime 0.624 (0.554)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][60/118]\tTime 0.525 (0.556)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][70/118]\tTime 0.543 (0.556)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][80/118]\tTime 0.570 (0.558)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][90/118]\tTime 0.575 (0.558)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][100/118]\tTime 0.572 (0.558)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [82][110/118]\tTime 0.544 (0.559)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.305 (0.305)\tLoss 0.1733 (0.1733)\tPrec@1 96.094 (96.094)\n",
      "Test: [10/157]\tTime 0.181 (0.172)\tLoss 0.2576 (0.2869)\tPrec@1 93.359 (93.395)\n",
      "Test: [20/157]\tTime 0.182 (0.167)\tLoss 0.5311 (0.3052)\tPrec@1 89.453 (92.913)\n",
      "Test: [30/157]\tTime 0.173 (0.168)\tLoss 0.1960 (0.2906)\tPrec@1 96.484 (93.208)\n",
      "Test: [40/157]\tTime 0.155 (0.167)\tLoss 0.3116 (0.2931)\tPrec@1 91.797 (93.178)\n",
      "Test: [50/157]\tTime 0.161 (0.167)\tLoss 0.3153 (0.2944)\tPrec@1 92.578 (93.145)\n",
      "Test: [60/157]\tTime 0.153 (0.165)\tLoss 0.1492 (0.2909)\tPrec@1 95.312 (93.090)\n",
      "Test: [70/157]\tTime 0.155 (0.164)\tLoss 0.3549 (0.2934)\tPrec@1 92.188 (92.996)\n",
      "Test: [80/157]\tTime 0.148 (0.163)\tLoss 0.2625 (0.2966)\tPrec@1 92.578 (92.954)\n",
      "Test: [90/157]\tTime 0.154 (0.163)\tLoss 0.3837 (0.2926)\tPrec@1 92.578 (93.063)\n",
      "Test: [100/157]\tTime 0.154 (0.163)\tLoss 0.4516 (0.2904)\tPrec@1 91.797 (93.104)\n",
      "Test: [110/157]\tTime 0.155 (0.163)\tLoss 0.2903 (0.2898)\tPrec@1 94.141 (93.148)\n",
      "Test: [120/157]\tTime 0.183 (0.164)\tLoss 0.1766 (0.2901)\tPrec@1 95.703 (93.143)\n",
      "Test: [130/157]\tTime 0.157 (0.164)\tLoss 0.3288 (0.2881)\tPrec@1 94.141 (93.201)\n",
      "Test: [140/157]\tTime 0.153 (0.164)\tLoss 0.2321 (0.2886)\tPrec@1 94.141 (93.182)\n",
      "Test: [150/157]\tTime 0.153 (0.164)\tLoss 0.3392 (0.2874)\tPrec@1 92.578 (93.209)\n",
      " * Prec@1 93.210\n",
      "Epoch: [83][0/118]\tTime 0.307 (0.307)\tLoss 0.0025 (0.0025)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][10/118]\tTime 0.512 (0.518)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][20/118]\tTime 0.561 (0.565)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][30/118]\tTime 0.542 (0.564)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][40/118]\tTime 0.519 (0.562)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [83][50/118]\tTime 0.511 (0.559)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][60/118]\tTime 0.539 (0.559)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][70/118]\tTime 0.528 (0.556)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][80/118]\tTime 0.577 (0.557)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][90/118]\tTime 0.655 (0.557)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][100/118]\tTime 0.543 (0.558)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [83][110/118]\tTime 0.545 (0.558)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.312 (0.312)\tLoss 0.3747 (0.3747)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.158 (0.183)\tLoss 0.2000 (0.3021)\tPrec@1 95.703 (93.146)\n",
      "Test: [20/157]\tTime 0.152 (0.170)\tLoss 0.2800 (0.3088)\tPrec@1 92.188 (93.006)\n",
      "Test: [30/157]\tTime 0.149 (0.165)\tLoss 0.1425 (0.3084)\tPrec@1 96.094 (92.981)\n",
      "Test: [40/157]\tTime 0.154 (0.164)\tLoss 0.4805 (0.2968)\tPrec@1 89.453 (93.274)\n",
      "Test: [50/157]\tTime 0.183 (0.163)\tLoss 0.3742 (0.2950)\tPrec@1 91.406 (93.352)\n",
      "Test: [60/157]\tTime 0.147 (0.163)\tLoss 0.2361 (0.2926)\tPrec@1 94.531 (93.321)\n",
      "Test: [70/157]\tTime 0.152 (0.164)\tLoss 0.2832 (0.2937)\tPrec@1 92.578 (93.288)\n",
      "Test: [80/157]\tTime 0.147 (0.164)\tLoss 0.3952 (0.2960)\tPrec@1 90.234 (93.282)\n",
      "Test: [90/157]\tTime 0.186 (0.164)\tLoss 0.2715 (0.2922)\tPrec@1 93.750 (93.364)\n",
      "Test: [100/157]\tTime 0.147 (0.164)\tLoss 0.3217 (0.2882)\tPrec@1 91.797 (93.398)\n",
      "Test: [110/157]\tTime 0.151 (0.163)\tLoss 0.2302 (0.2912)\tPrec@1 93.750 (93.314)\n",
      "Test: [120/157]\tTime 0.152 (0.163)\tLoss 0.3204 (0.2926)\tPrec@1 93.750 (93.282)\n",
      "Test: [130/157]\tTime 0.146 (0.164)\tLoss 0.2390 (0.2946)\tPrec@1 92.969 (93.219)\n",
      "Test: [140/157]\tTime 0.184 (0.163)\tLoss 0.2291 (0.2931)\tPrec@1 93.750 (93.229)\n",
      "Test: [150/157]\tTime 0.150 (0.163)\tLoss 0.2642 (0.2933)\tPrec@1 93.359 (93.215)\n",
      " * Prec@1 93.220\n",
      "Epoch: [84][0/118]\tTime 0.302 (0.302)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][10/118]\tTime 0.547 (0.538)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][20/118]\tTime 0.513 (0.549)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][30/118]\tTime 0.559 (0.547)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][40/118]\tTime 0.501 (0.546)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][50/118]\tTime 0.607 (0.548)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][60/118]\tTime 0.550 (0.550)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][70/118]\tTime 0.588 (0.552)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][80/118]\tTime 0.565 (0.555)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][90/118]\tTime 0.512 (0.554)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][100/118]\tTime 0.575 (0.554)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [84][110/118]\tTime 0.543 (0.554)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.292 (0.292)\tLoss 0.1000 (0.1000)\tPrec@1 97.656 (97.656)\n",
      "Test: [10/157]\tTime 0.151 (0.169)\tLoss 0.3198 (0.2620)\tPrec@1 93.750 (93.750)\n",
      "Test: [20/157]\tTime 0.146 (0.164)\tLoss 0.3273 (0.2618)\tPrec@1 93.359 (93.824)\n",
      "Test: [30/157]\tTime 0.147 (0.165)\tLoss 0.2794 (0.2677)\tPrec@1 93.359 (93.800)\n",
      "Test: [40/157]\tTime 0.151 (0.164)\tLoss 0.3658 (0.2671)\tPrec@1 91.797 (93.712)\n",
      "Test: [50/157]\tTime 0.152 (0.162)\tLoss 0.4589 (0.2741)\tPrec@1 89.453 (93.543)\n",
      "Test: [60/157]\tTime 0.154 (0.163)\tLoss 0.3548 (0.2797)\tPrec@1 93.359 (93.507)\n",
      "Test: [70/157]\tTime 0.159 (0.162)\tLoss 0.2275 (0.2779)\tPrec@1 94.922 (93.541)\n",
      "Test: [80/157]\tTime 0.167 (0.163)\tLoss 0.3164 (0.2803)\tPrec@1 91.797 (93.456)\n",
      "Test: [90/157]\tTime 0.154 (0.162)\tLoss 0.2378 (0.2819)\tPrec@1 94.922 (93.398)\n",
      "Test: [100/157]\tTime 0.156 (0.162)\tLoss 0.3051 (0.2824)\tPrec@1 93.750 (93.421)\n",
      "Test: [110/157]\tTime 0.142 (0.161)\tLoss 0.3172 (0.2824)\tPrec@1 92.969 (93.366)\n",
      "Test: [120/157]\tTime 0.183 (0.162)\tLoss 0.2511 (0.2863)\tPrec@1 94.531 (93.330)\n",
      "Test: [130/157]\tTime 0.159 (0.162)\tLoss 0.2487 (0.2894)\tPrec@1 94.922 (93.279)\n",
      "Test: [140/157]\tTime 0.157 (0.162)\tLoss 0.3494 (0.2901)\tPrec@1 92.969 (93.268)\n",
      "Test: [150/157]\tTime 0.149 (0.161)\tLoss 0.1608 (0.2889)\tPrec@1 94.922 (93.258)\n",
      " * Prec@1 93.250\n",
      "Epoch: [85][0/118]\tTime 0.289 (0.289)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][10/118]\tTime 0.576 (0.529)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][20/118]\tTime 0.574 (0.543)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][30/118]\tTime 0.589 (0.549)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][40/118]\tTime 0.581 (0.550)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][50/118]\tTime 0.551 (0.551)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][60/118]\tTime 0.566 (0.554)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][70/118]\tTime 0.557 (0.555)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][80/118]\tTime 0.558 (0.554)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][90/118]\tTime 0.589 (0.554)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][100/118]\tTime 0.528 (0.555)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [85][110/118]\tTime 0.547 (0.553)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.276 (0.276)\tLoss 0.2517 (0.2517)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.175 (0.169)\tLoss 0.1722 (0.2704)\tPrec@1 96.094 (93.679)\n",
      "Test: [20/157]\tTime 0.159 (0.167)\tLoss 0.3437 (0.2860)\tPrec@1 92.188 (93.099)\n",
      "Test: [30/157]\tTime 0.160 (0.166)\tLoss 0.3409 (0.2919)\tPrec@1 91.797 (93.032)\n",
      "Test: [40/157]\tTime 0.152 (0.164)\tLoss 0.4079 (0.2874)\tPrec@1 91.797 (93.131)\n",
      "Test: [50/157]\tTime 0.149 (0.162)\tLoss 0.2521 (0.2925)\tPrec@1 94.922 (93.107)\n",
      "Test: [60/157]\tTime 0.156 (0.162)\tLoss 0.2289 (0.2901)\tPrec@1 95.312 (93.161)\n",
      "Test: [70/157]\tTime 0.153 (0.161)\tLoss 0.2395 (0.2901)\tPrec@1 94.531 (93.134)\n",
      "Test: [80/157]\tTime 0.150 (0.161)\tLoss 0.3548 (0.2937)\tPrec@1 91.797 (93.099)\n",
      "Test: [90/157]\tTime 0.159 (0.161)\tLoss 0.1507 (0.2951)\tPrec@1 96.875 (93.128)\n",
      "Test: [100/157]\tTime 0.149 (0.161)\tLoss 0.3830 (0.2937)\tPrec@1 91.797 (93.181)\n",
      "Test: [110/157]\tTime 0.149 (0.161)\tLoss 0.2737 (0.2914)\tPrec@1 93.359 (93.236)\n",
      "Test: [120/157]\tTime 0.157 (0.162)\tLoss 0.3341 (0.2908)\tPrec@1 92.188 (93.292)\n",
      "Test: [130/157]\tTime 0.165 (0.162)\tLoss 0.3117 (0.2901)\tPrec@1 93.359 (93.288)\n",
      "Test: [140/157]\tTime 0.161 (0.162)\tLoss 0.3410 (0.2923)\tPrec@1 92.969 (93.254)\n",
      "Test: [150/157]\tTime 0.158 (0.162)\tLoss 0.1754 (0.2915)\tPrec@1 95.312 (93.282)\n",
      " * Prec@1 93.278\n",
      "Epoch: [86][0/118]\tTime 0.271 (0.271)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][10/118]\tTime 0.575 (0.536)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][20/118]\tTime 0.545 (0.546)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][30/118]\tTime 0.557 (0.546)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][40/118]\tTime 0.531 (0.549)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][50/118]\tTime 0.565 (0.554)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][60/118]\tTime 0.615 (0.557)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][70/118]\tTime 0.530 (0.557)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][80/118]\tTime 0.569 (0.558)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][90/118]\tTime 0.562 (0.559)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][100/118]\tTime 0.575 (0.558)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [86][110/118]\tTime 0.646 (0.560)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.326 (0.326)\tLoss 0.4192 (0.4192)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.151 (0.165)\tLoss 0.2823 (0.3199)\tPrec@1 93.359 (92.827)\n",
      "Test: [20/157]\tTime 0.183 (0.163)\tLoss 0.3597 (0.3170)\tPrec@1 92.188 (92.746)\n",
      "Test: [30/157]\tTime 0.152 (0.160)\tLoss 0.2737 (0.3128)\tPrec@1 94.531 (92.893)\n",
      "Test: [40/157]\tTime 0.155 (0.160)\tLoss 0.1993 (0.3092)\tPrec@1 96.094 (93.102)\n",
      "Test: [50/157]\tTime 0.159 (0.161)\tLoss 0.1896 (0.3024)\tPrec@1 94.141 (93.237)\n",
      "Test: [60/157]\tTime 0.146 (0.161)\tLoss 0.2099 (0.2971)\tPrec@1 95.312 (93.283)\n",
      "Test: [70/157]\tTime 0.148 (0.160)\tLoss 0.2608 (0.2940)\tPrec@1 94.141 (93.299)\n",
      "Test: [80/157]\tTime 0.157 (0.159)\tLoss 0.3265 (0.2935)\tPrec@1 91.016 (93.239)\n",
      "Test: [90/157]\tTime 0.181 (0.160)\tLoss 0.2718 (0.2916)\tPrec@1 93.750 (93.248)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.167 (0.160)\tLoss 0.3100 (0.2927)\tPrec@1 93.359 (93.220)\n",
      "Test: [110/157]\tTime 0.156 (0.161)\tLoss 0.1752 (0.2919)\tPrec@1 95.312 (93.205)\n",
      "Test: [120/157]\tTime 0.177 (0.160)\tLoss 0.2544 (0.2943)\tPrec@1 95.312 (93.162)\n",
      "Test: [130/157]\tTime 0.159 (0.160)\tLoss 0.2310 (0.2924)\tPrec@1 94.141 (93.219)\n",
      "Test: [140/157]\tTime 0.147 (0.160)\tLoss 0.2094 (0.2920)\tPrec@1 93.359 (93.224)\n",
      "Test: [150/157]\tTime 0.173 (0.160)\tLoss 0.3594 (0.2932)\tPrec@1 90.625 (93.196)\n",
      " * Prec@1 93.205\n",
      "Epoch: [87][0/118]\tTime 0.253 (0.253)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][10/118]\tTime 0.525 (0.522)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][20/118]\tTime 0.565 (0.540)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][30/118]\tTime 0.531 (0.548)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][40/118]\tTime 0.508 (0.550)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][50/118]\tTime 0.538 (0.550)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][60/118]\tTime 0.562 (0.550)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][70/118]\tTime 0.508 (0.551)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][80/118]\tTime 0.550 (0.551)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][90/118]\tTime 0.571 (0.553)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][100/118]\tTime 0.549 (0.554)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [87][110/118]\tTime 0.546 (0.553)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.311 (0.311)\tLoss 0.1965 (0.1965)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.159 (0.167)\tLoss 0.1775 (0.2739)\tPrec@1 94.922 (93.395)\n",
      "Test: [20/157]\tTime 0.171 (0.167)\tLoss 0.3499 (0.2753)\tPrec@1 92.188 (93.341)\n",
      "Test: [30/157]\tTime 0.215 (0.166)\tLoss 0.3999 (0.2781)\tPrec@1 91.406 (93.460)\n",
      "Test: [40/157]\tTime 0.183 (0.168)\tLoss 0.3607 (0.2897)\tPrec@1 91.406 (93.245)\n",
      "Test: [50/157]\tTime 0.153 (0.166)\tLoss 0.2198 (0.2874)\tPrec@1 94.922 (93.283)\n",
      "Test: [60/157]\tTime 0.150 (0.163)\tLoss 0.3095 (0.2840)\tPrec@1 93.750 (93.308)\n",
      "Test: [70/157]\tTime 0.157 (0.163)\tLoss 0.3368 (0.2853)\tPrec@1 92.188 (93.326)\n",
      "Test: [80/157]\tTime 0.147 (0.162)\tLoss 0.2462 (0.2883)\tPrec@1 94.922 (93.306)\n",
      "Test: [90/157]\tTime 0.146 (0.161)\tLoss 0.3303 (0.2884)\tPrec@1 91.406 (93.261)\n",
      "Test: [100/157]\tTime 0.153 (0.161)\tLoss 0.3351 (0.2922)\tPrec@1 93.750 (93.239)\n",
      "Test: [110/157]\tTime 0.177 (0.161)\tLoss 0.1878 (0.2935)\tPrec@1 95.703 (93.222)\n",
      "Test: [120/157]\tTime 0.152 (0.161)\tLoss 0.3664 (0.2922)\tPrec@1 91.016 (93.246)\n",
      "Test: [130/157]\tTime 0.185 (0.162)\tLoss 0.2091 (0.2921)\tPrec@1 94.531 (93.252)\n",
      "Test: [140/157]\tTime 0.149 (0.161)\tLoss 0.2578 (0.2936)\tPrec@1 93.359 (93.240)\n",
      "Test: [150/157]\tTime 0.150 (0.161)\tLoss 0.2093 (0.2951)\tPrec@1 94.531 (93.240)\n",
      " * Prec@1 93.250\n",
      "Epoch: [88][0/118]\tTime 0.266 (0.266)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][10/118]\tTime 0.576 (0.527)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][20/118]\tTime 0.544 (0.538)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][30/118]\tTime 0.550 (0.542)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][40/118]\tTime 0.570 (0.545)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][50/118]\tTime 0.550 (0.547)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][60/118]\tTime 0.593 (0.549)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][70/118]\tTime 0.524 (0.549)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][80/118]\tTime 0.568 (0.551)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][90/118]\tTime 0.569 (0.551)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][100/118]\tTime 0.544 (0.551)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [88][110/118]\tTime 0.542 (0.552)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.325 (0.325)\tLoss 0.3030 (0.3030)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.168 (0.260)\tLoss 0.2499 (0.2824)\tPrec@1 93.750 (93.786)\n",
      "Test: [20/157]\tTime 0.154 (0.225)\tLoss 0.2100 (0.2955)\tPrec@1 94.531 (93.601)\n",
      "Test: [30/157]\tTime 0.175 (0.205)\tLoss 0.0772 (0.2872)\tPrec@1 97.656 (93.561)\n",
      "Test: [40/157]\tTime 0.146 (0.193)\tLoss 0.1966 (0.2916)\tPrec@1 94.141 (93.340)\n",
      "Test: [50/157]\tTime 0.143 (0.185)\tLoss 0.2768 (0.2933)\tPrec@1 92.188 (93.252)\n",
      "Test: [60/157]\tTime 0.153 (0.180)\tLoss 0.4059 (0.2989)\tPrec@1 92.578 (93.186)\n",
      "Test: [70/157]\tTime 0.158 (0.177)\tLoss 0.2409 (0.2960)\tPrec@1 92.578 (93.238)\n",
      "Test: [80/157]\tTime 0.164 (0.174)\tLoss 0.1947 (0.2942)\tPrec@1 94.531 (93.273)\n",
      "Test: [90/157]\tTime 0.157 (0.171)\tLoss 0.2440 (0.2958)\tPrec@1 96.094 (93.265)\n",
      "Test: [100/157]\tTime 0.147 (0.169)\tLoss 0.3522 (0.2929)\tPrec@1 91.406 (93.344)\n",
      "Test: [110/157]\tTime 0.154 (0.168)\tLoss 0.1929 (0.2921)\tPrec@1 95.312 (93.366)\n",
      "Test: [120/157]\tTime 0.155 (0.168)\tLoss 0.3245 (0.2905)\tPrec@1 93.750 (93.392)\n",
      "Test: [130/157]\tTime 0.148 (0.167)\tLoss 0.4918 (0.2938)\tPrec@1 87.891 (93.303)\n",
      "Test: [140/157]\tTime 0.152 (0.166)\tLoss 0.3334 (0.2960)\tPrec@1 92.188 (93.262)\n",
      "Test: [150/157]\tTime 0.145 (0.166)\tLoss 0.3179 (0.2956)\tPrec@1 92.188 (93.266)\n",
      " * Prec@1 93.272\n",
      "Epoch: [89][0/118]\tTime 0.253 (0.253)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][10/118]\tTime 0.514 (0.512)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][20/118]\tTime 0.510 (0.528)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][30/118]\tTime 0.530 (0.537)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][40/118]\tTime 0.519 (0.539)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][50/118]\tTime 0.552 (0.543)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][60/118]\tTime 0.537 (0.544)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][70/118]\tTime 0.519 (0.546)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][80/118]\tTime 0.579 (0.549)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][90/118]\tTime 0.598 (0.551)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][100/118]\tTime 0.527 (0.553)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [89][110/118]\tTime 0.578 (0.555)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.298 (0.298)\tLoss 0.2118 (0.2118)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.148 (0.165)\tLoss 0.2649 (0.3038)\tPrec@1 95.312 (93.395)\n",
      "Test: [20/157]\tTime 0.158 (0.165)\tLoss 0.3387 (0.2999)\tPrec@1 91.016 (93.452)\n",
      "Test: [30/157]\tTime 0.149 (0.163)\tLoss 0.3757 (0.2976)\tPrec@1 92.578 (93.624)\n",
      "Test: [40/157]\tTime 0.150 (0.161)\tLoss 0.3969 (0.2985)\tPrec@1 90.625 (93.474)\n",
      "Test: [50/157]\tTime 0.177 (0.161)\tLoss 0.4105 (0.2941)\tPrec@1 91.406 (93.551)\n",
      "Test: [60/157]\tTime 0.150 (0.159)\tLoss 0.2644 (0.2955)\tPrec@1 93.359 (93.468)\n",
      "Test: [70/157]\tTime 0.181 (0.159)\tLoss 0.4297 (0.2997)\tPrec@1 92.188 (93.348)\n",
      "Test: [80/157]\tTime 0.144 (0.160)\tLoss 0.3064 (0.3010)\tPrec@1 93.359 (93.282)\n",
      "Test: [90/157]\tTime 0.151 (0.159)\tLoss 0.4589 (0.3042)\tPrec@1 91.016 (93.213)\n",
      "Test: [100/157]\tTime 0.180 (0.159)\tLoss 0.1590 (0.3000)\tPrec@1 95.312 (93.274)\n",
      "Test: [110/157]\tTime 0.150 (0.160)\tLoss 0.1627 (0.3004)\tPrec@1 94.141 (93.229)\n",
      "Test: [120/157]\tTime 0.146 (0.160)\tLoss 0.2070 (0.2996)\tPrec@1 94.922 (93.230)\n",
      "Test: [130/157]\tTime 0.159 (0.159)\tLoss 0.3735 (0.3005)\tPrec@1 91.797 (93.172)\n",
      "Test: [140/157]\tTime 0.188 (0.160)\tLoss 0.3384 (0.2987)\tPrec@1 92.578 (93.193)\n",
      "Test: [150/157]\tTime 0.153 (0.160)\tLoss 0.2407 (0.2977)\tPrec@1 94.922 (93.209)\n",
      " * Prec@1 93.185\n",
      "Epoch: [90][0/118]\tTime 0.272 (0.272)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][10/118]\tTime 0.582 (0.580)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][20/118]\tTime 0.546 (0.572)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][30/118]\tTime 0.615 (0.567)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][40/118]\tTime 0.605 (0.566)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][50/118]\tTime 0.569 (0.564)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][60/118]\tTime 0.530 (0.563)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][70/118]\tTime 0.529 (0.562)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][80/118]\tTime 0.615 (0.562)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][90/118]\tTime 0.538 (0.562)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [90][100/118]\tTime 0.552 (0.561)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [90][110/118]\tTime 0.535 (0.560)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.332 (0.332)\tLoss 0.1262 (0.1262)\tPrec@1 97.266 (97.266)\n",
      "Test: [10/157]\tTime 0.150 (0.181)\tLoss 0.2326 (0.2863)\tPrec@1 93.750 (93.075)\n",
      "Test: [20/157]\tTime 0.153 (0.170)\tLoss 0.1733 (0.2972)\tPrec@1 96.484 (93.080)\n",
      "Test: [30/157]\tTime 0.154 (0.166)\tLoss 0.2262 (0.2947)\tPrec@1 94.922 (93.183)\n",
      "Test: [40/157]\tTime 0.184 (0.168)\tLoss 0.4827 (0.2916)\tPrec@1 91.406 (93.274)\n",
      "Test: [50/157]\tTime 0.173 (0.167)\tLoss 0.2958 (0.2891)\tPrec@1 94.141 (93.298)\n",
      "Test: [60/157]\tTime 0.157 (0.168)\tLoss 0.4243 (0.2891)\tPrec@1 90.625 (93.302)\n",
      "Test: [70/157]\tTime 0.165 (0.167)\tLoss 0.5116 (0.2926)\tPrec@1 89.062 (93.249)\n",
      "Test: [80/157]\tTime 0.179 (0.167)\tLoss 0.3491 (0.2935)\tPrec@1 91.406 (93.220)\n",
      "Test: [90/157]\tTime 0.184 (0.167)\tLoss 0.3531 (0.2976)\tPrec@1 94.531 (93.205)\n",
      "Test: [100/157]\tTime 0.195 (0.167)\tLoss 0.2871 (0.2927)\tPrec@1 91.797 (93.290)\n",
      "Test: [110/157]\tTime 0.183 (0.167)\tLoss 0.3843 (0.2953)\tPrec@1 92.969 (93.282)\n",
      "Test: [120/157]\tTime 0.152 (0.166)\tLoss 0.2042 (0.2959)\tPrec@1 94.922 (93.275)\n",
      "Test: [130/157]\tTime 0.155 (0.165)\tLoss 0.3154 (0.2966)\tPrec@1 93.359 (93.267)\n",
      "Test: [140/157]\tTime 0.145 (0.164)\tLoss 0.2428 (0.2995)\tPrec@1 94.922 (93.201)\n",
      "Test: [150/157]\tTime 0.151 (0.164)\tLoss 0.3483 (0.2979)\tPrec@1 91.797 (93.222)\n",
      " * Prec@1 93.257\n",
      "Epoch: [91][0/118]\tTime 0.267 (0.267)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][10/118]\tTime 0.565 (0.522)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][20/118]\tTime 0.551 (0.540)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][30/118]\tTime 0.551 (0.544)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][40/118]\tTime 0.575 (0.547)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][50/118]\tTime 0.566 (0.551)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][60/118]\tTime 0.536 (0.552)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][70/118]\tTime 0.588 (0.556)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][80/118]\tTime 0.579 (0.556)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][90/118]\tTime 0.510 (0.556)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][100/118]\tTime 0.583 (0.557)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [91][110/118]\tTime 0.575 (0.557)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.304 (0.304)\tLoss 0.3104 (0.3104)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.166 (0.174)\tLoss 0.3449 (0.2646)\tPrec@1 94.141 (94.105)\n",
      "Test: [20/157]\tTime 0.163 (0.167)\tLoss 0.3252 (0.2815)\tPrec@1 92.969 (93.936)\n",
      "Test: [30/157]\tTime 0.178 (0.165)\tLoss 0.3289 (0.2922)\tPrec@1 92.578 (93.473)\n",
      "Test: [40/157]\tTime 0.147 (0.163)\tLoss 0.2418 (0.2950)\tPrec@1 94.531 (93.426)\n",
      "Test: [50/157]\tTime 0.152 (0.161)\tLoss 0.2021 (0.2967)\tPrec@1 94.922 (93.390)\n",
      "Test: [60/157]\tTime 0.144 (0.161)\tLoss 0.2960 (0.2998)\tPrec@1 92.578 (93.263)\n",
      "Test: [70/157]\tTime 0.156 (0.161)\tLoss 0.2713 (0.2914)\tPrec@1 94.141 (93.392)\n",
      "Test: [80/157]\tTime 0.147 (0.161)\tLoss 0.2751 (0.2943)\tPrec@1 94.531 (93.330)\n",
      "Test: [90/157]\tTime 0.149 (0.160)\tLoss 0.4363 (0.3014)\tPrec@1 91.406 (93.222)\n",
      "Test: [100/157]\tTime 0.159 (0.160)\tLoss 0.3253 (0.3005)\tPrec@1 92.188 (93.181)\n",
      "Test: [110/157]\tTime 0.152 (0.159)\tLoss 0.2705 (0.2987)\tPrec@1 94.141 (93.254)\n",
      "Test: [120/157]\tTime 0.185 (0.159)\tLoss 0.2875 (0.2998)\tPrec@1 92.578 (93.179)\n",
      "Test: [130/157]\tTime 0.169 (0.159)\tLoss 0.3072 (0.2991)\tPrec@1 93.750 (93.222)\n",
      "Test: [140/157]\tTime 0.149 (0.159)\tLoss 0.2698 (0.2976)\tPrec@1 94.922 (93.215)\n",
      "Test: [150/157]\tTime 0.159 (0.159)\tLoss 0.4455 (0.2968)\tPrec@1 89.453 (93.230)\n",
      " * Prec@1 93.213\n",
      "Epoch: [92][0/118]\tTime 0.270 (0.270)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][10/118]\tTime 0.548 (0.522)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][20/118]\tTime 0.570 (0.536)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][30/118]\tTime 0.504 (0.543)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][40/118]\tTime 0.702 (0.566)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][50/118]\tTime 0.503 (0.567)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][60/118]\tTime 0.571 (0.565)\tLoss 0.0022 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][70/118]\tTime 0.612 (0.563)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][80/118]\tTime 0.558 (0.563)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][90/118]\tTime 0.552 (0.563)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][100/118]\tTime 0.531 (0.561)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [92][110/118]\tTime 0.558 (0.561)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.321 (0.321)\tLoss 0.2831 (0.2831)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.172 (0.174)\tLoss 0.3218 (0.2787)\tPrec@1 92.578 (93.608)\n",
      "Test: [20/157]\tTime 0.155 (0.169)\tLoss 0.3496 (0.2976)\tPrec@1 91.797 (93.341)\n",
      "Test: [30/157]\tTime 0.179 (0.167)\tLoss 0.3876 (0.2984)\tPrec@1 92.188 (93.296)\n",
      "Test: [40/157]\tTime 0.172 (0.165)\tLoss 0.2405 (0.2950)\tPrec@1 94.141 (93.293)\n",
      "Test: [50/157]\tTime 0.156 (0.163)\tLoss 0.4010 (0.2963)\tPrec@1 91.406 (93.329)\n",
      "Test: [60/157]\tTime 0.178 (0.163)\tLoss 0.1913 (0.2862)\tPrec@1 95.703 (93.481)\n",
      "Test: [70/157]\tTime 0.159 (0.162)\tLoss 0.2799 (0.2940)\tPrec@1 92.578 (93.321)\n",
      "Test: [80/157]\tTime 0.151 (0.162)\tLoss 0.2623 (0.2890)\tPrec@1 93.359 (93.393)\n",
      "Test: [90/157]\tTime 0.194 (0.162)\tLoss 0.4634 (0.2913)\tPrec@1 89.453 (93.308)\n",
      "Test: [100/157]\tTime 0.149 (0.162)\tLoss 0.1790 (0.2901)\tPrec@1 94.922 (93.309)\n",
      "Test: [110/157]\tTime 0.149 (0.162)\tLoss 0.2221 (0.2884)\tPrec@1 93.359 (93.356)\n",
      "Test: [120/157]\tTime 0.151 (0.161)\tLoss 0.2088 (0.2895)\tPrec@1 94.922 (93.356)\n",
      "Test: [130/157]\tTime 0.150 (0.161)\tLoss 0.3450 (0.2907)\tPrec@1 92.578 (93.336)\n",
      "Test: [140/157]\tTime 0.151 (0.161)\tLoss 0.4696 (0.2933)\tPrec@1 87.891 (93.268)\n",
      "Test: [150/157]\tTime 0.199 (0.161)\tLoss 0.2801 (0.2961)\tPrec@1 94.141 (93.217)\n",
      " * Prec@1 93.205\n",
      "Epoch: [93][0/118]\tTime 0.263 (0.263)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][10/118]\tTime 0.523 (0.520)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][20/118]\tTime 0.537 (0.536)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][30/118]\tTime 0.583 (0.545)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][40/118]\tTime 0.546 (0.549)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][50/118]\tTime 0.582 (0.552)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][60/118]\tTime 0.515 (0.551)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][70/118]\tTime 0.519 (0.550)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][80/118]\tTime 0.516 (0.551)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][90/118]\tTime 0.566 (0.550)\tLoss 0.0022 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][100/118]\tTime 0.614 (0.552)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [93][110/118]\tTime 0.577 (0.553)\tLoss 0.0024 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.301 (0.301)\tLoss 0.3368 (0.3368)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.150 (0.171)\tLoss 0.3097 (0.4058)\tPrec@1 91.016 (89.950)\n",
      "Test: [20/157]\tTime 0.152 (0.163)\tLoss 0.3335 (0.3826)\tPrec@1 89.453 (90.495)\n",
      "Test: [30/157]\tTime 0.162 (0.163)\tLoss 0.4069 (0.3698)\tPrec@1 89.453 (90.915)\n",
      "Test: [40/157]\tTime 0.154 (0.163)\tLoss 0.3911 (0.3810)\tPrec@1 90.234 (90.568)\n",
      "Test: [50/157]\tTime 0.148 (0.161)\tLoss 0.4801 (0.3871)\tPrec@1 88.281 (90.479)\n",
      "Test: [60/157]\tTime 0.162 (0.161)\tLoss 0.4621 (0.3862)\tPrec@1 87.109 (90.529)\n",
      "Test: [70/157]\tTime 0.164 (0.160)\tLoss 0.4156 (0.3809)\tPrec@1 89.062 (90.697)\n",
      "Test: [80/157]\tTime 0.154 (0.160)\tLoss 0.2824 (0.3769)\tPrec@1 91.797 (90.828)\n",
      "Test: [90/157]\tTime 0.154 (0.160)\tLoss 0.3383 (0.3805)\tPrec@1 90.234 (90.784)\n",
      "Test: [100/157]\tTime 0.164 (0.160)\tLoss 0.3697 (0.3815)\tPrec@1 90.234 (90.698)\n",
      "Test: [110/157]\tTime 0.153 (0.160)\tLoss 0.4066 (0.3791)\tPrec@1 88.672 (90.731)\n",
      "Test: [120/157]\tTime 0.173 (0.160)\tLoss 0.3537 (0.3814)\tPrec@1 90.625 (90.683)\n",
      "Test: [130/157]\tTime 0.180 (0.160)\tLoss 0.5728 (0.3839)\tPrec@1 88.281 (90.637)\n",
      "Test: [140/157]\tTime 0.194 (0.160)\tLoss 0.3635 (0.3833)\tPrec@1 91.016 (90.653)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.152 (0.160)\tLoss 0.3349 (0.3813)\tPrec@1 91.797 (90.708)\n",
      " * Prec@1 90.735\n",
      "Epoch: [94][0/118]\tTime 0.256 (0.256)\tLoss 0.0437 (0.0437)\tPrec@1 99.219 (99.219)\n",
      "Epoch: [94][10/118]\tTime 0.559 (0.527)\tLoss 0.0249 (0.0227)\tPrec@1 99.609 (99.574)\n",
      "Epoch: [94][20/118]\tTime 0.539 (0.542)\tLoss 0.0279 (0.0185)\tPrec@1 99.609 (99.665)\n",
      "Epoch: [94][30/118]\tTime 0.555 (0.543)\tLoss 0.0066 (0.0169)\tPrec@1 100.000 (99.710)\n",
      "Epoch: [94][40/118]\tTime 0.561 (0.545)\tLoss 0.0091 (0.0154)\tPrec@1 99.609 (99.714)\n",
      "Epoch: [94][50/118]\tTime 0.531 (0.548)\tLoss 0.0113 (0.0140)\tPrec@1 100.000 (99.732)\n",
      "Epoch: [94][60/118]\tTime 0.587 (0.550)\tLoss 0.0052 (0.0127)\tPrec@1 100.000 (99.769)\n",
      "Epoch: [94][70/118]\tTime 0.545 (0.551)\tLoss 0.0068 (0.0116)\tPrec@1 99.609 (99.785)\n",
      "Epoch: [94][80/118]\tTime 0.581 (0.552)\tLoss 0.0060 (0.0108)\tPrec@1 100.000 (99.802)\n",
      "Epoch: [94][90/118]\tTime 0.538 (0.551)\tLoss 0.0028 (0.0101)\tPrec@1 100.000 (99.820)\n",
      "Epoch: [94][100/118]\tTime 0.552 (0.552)\tLoss 0.0036 (0.0094)\tPrec@1 100.000 (99.834)\n",
      "Epoch: [94][110/118]\tTime 0.587 (0.553)\tLoss 0.0033 (0.0088)\tPrec@1 100.000 (99.849)\n",
      "Test: [0/157]\tTime 0.300 (0.300)\tLoss 0.2969 (0.2969)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.167 (0.171)\tLoss 0.2775 (0.2737)\tPrec@1 93.359 (93.359)\n",
      "Test: [20/157]\tTime 0.152 (0.167)\tLoss 0.3250 (0.2853)\tPrec@1 91.406 (93.304)\n",
      "Test: [30/157]\tTime 0.148 (0.163)\tLoss 0.4298 (0.2920)\tPrec@1 90.234 (93.271)\n",
      "Test: [40/157]\tTime 0.149 (0.161)\tLoss 0.2171 (0.2853)\tPrec@1 94.922 (93.417)\n",
      "Test: [50/157]\tTime 0.151 (0.162)\tLoss 0.3256 (0.2905)\tPrec@1 92.969 (93.321)\n",
      "Test: [60/157]\tTime 0.168 (0.163)\tLoss 0.2825 (0.2880)\tPrec@1 93.359 (93.347)\n",
      "Test: [70/157]\tTime 0.164 (0.162)\tLoss 0.3265 (0.2858)\tPrec@1 92.578 (93.348)\n",
      "Test: [80/157]\tTime 0.184 (0.163)\tLoss 0.1699 (0.2861)\tPrec@1 94.922 (93.292)\n",
      "Test: [90/157]\tTime 0.143 (0.163)\tLoss 0.2360 (0.2865)\tPrec@1 92.969 (93.252)\n",
      "Test: [100/157]\tTime 0.175 (0.163)\tLoss 0.2718 (0.2871)\tPrec@1 94.531 (93.224)\n",
      "Test: [110/157]\tTime 0.151 (0.162)\tLoss 0.4284 (0.2882)\tPrec@1 91.016 (93.183)\n",
      "Test: [120/157]\tTime 0.147 (0.162)\tLoss 0.1955 (0.2897)\tPrec@1 95.703 (93.140)\n",
      "Test: [130/157]\tTime 0.175 (0.162)\tLoss 0.2905 (0.2899)\tPrec@1 93.359 (93.130)\n",
      "Test: [140/157]\tTime 0.184 (0.162)\tLoss 0.4718 (0.2930)\tPrec@1 87.109 (93.032)\n",
      "Test: [150/157]\tTime 0.149 (0.162)\tLoss 0.4065 (0.2917)\tPrec@1 90.234 (93.041)\n",
      " * Prec@1 93.040\n",
      "Epoch: [95][0/118]\tTime 0.255 (0.255)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][10/118]\tTime 0.534 (0.520)\tLoss 0.0018 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][20/118]\tTime 0.542 (0.531)\tLoss 0.0024 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][30/118]\tTime 0.556 (0.541)\tLoss 0.0026 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][40/118]\tTime 0.541 (0.544)\tLoss 0.0015 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][50/118]\tTime 0.555 (0.547)\tLoss 0.0019 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][60/118]\tTime 0.539 (0.545)\tLoss 0.0018 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][70/118]\tTime 0.545 (0.544)\tLoss 0.0020 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][80/118]\tTime 0.578 (0.544)\tLoss 0.0023 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][90/118]\tTime 0.534 (0.545)\tLoss 0.0019 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][100/118]\tTime 0.547 (0.545)\tLoss 0.0018 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [95][110/118]\tTime 0.536 (0.546)\tLoss 0.0019 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.304 (0.304)\tLoss 0.3870 (0.3870)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.170 (0.169)\tLoss 0.3047 (0.3234)\tPrec@1 94.141 (92.827)\n",
      "Test: [20/157]\tTime 0.144 (0.164)\tLoss 0.3186 (0.3073)\tPrec@1 92.969 (93.043)\n",
      "Test: [30/157]\tTime 0.154 (0.163)\tLoss 0.2534 (0.2976)\tPrec@1 94.141 (93.309)\n",
      "Test: [40/157]\tTime 0.152 (0.163)\tLoss 0.2443 (0.2919)\tPrec@1 93.750 (93.407)\n",
      "Test: [50/157]\tTime 0.149 (0.162)\tLoss 0.3490 (0.2960)\tPrec@1 91.406 (93.283)\n",
      "Test: [60/157]\tTime 0.147 (0.162)\tLoss 0.3176 (0.2972)\tPrec@1 92.578 (93.276)\n",
      "Test: [70/157]\tTime 0.152 (0.162)\tLoss 0.4165 (0.2996)\tPrec@1 88.281 (93.183)\n",
      "Test: [80/157]\tTime 0.156 (0.162)\tLoss 0.3213 (0.2970)\tPrec@1 92.578 (93.142)\n",
      "Test: [90/157]\tTime 0.146 (0.161)\tLoss 0.3260 (0.2984)\tPrec@1 92.578 (93.153)\n",
      "Test: [100/157]\tTime 0.177 (0.161)\tLoss 0.2486 (0.2971)\tPrec@1 95.312 (93.185)\n",
      "Test: [110/157]\tTime 0.152 (0.161)\tLoss 0.2217 (0.2964)\tPrec@1 94.531 (93.169)\n",
      "Test: [120/157]\tTime 0.164 (0.160)\tLoss 0.4316 (0.2953)\tPrec@1 89.062 (93.182)\n",
      "Test: [130/157]\tTime 0.152 (0.160)\tLoss 0.2732 (0.2980)\tPrec@1 92.969 (93.118)\n",
      "Test: [140/157]\tTime 0.157 (0.160)\tLoss 0.1886 (0.2954)\tPrec@1 96.875 (93.185)\n",
      "Test: [150/157]\tTime 0.188 (0.161)\tLoss 0.2260 (0.2960)\tPrec@1 94.531 (93.165)\n",
      " * Prec@1 93.135\n",
      "Epoch: [96][0/118]\tTime 0.262 (0.262)\tLoss 0.0023 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][10/118]\tTime 0.566 (0.532)\tLoss 0.0021 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][20/118]\tTime 0.538 (0.536)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][30/118]\tTime 0.560 (0.540)\tLoss 0.0015 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][40/118]\tTime 0.557 (0.544)\tLoss 0.0014 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][50/118]\tTime 0.564 (0.549)\tLoss 0.0025 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][60/118]\tTime 0.549 (0.550)\tLoss 0.0015 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][70/118]\tTime 0.529 (0.549)\tLoss 0.0016 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][80/118]\tTime 0.581 (0.551)\tLoss 0.0016 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][90/118]\tTime 0.541 (0.553)\tLoss 0.0017 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][100/118]\tTime 0.551 (0.553)\tLoss 0.0013 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [96][110/118]\tTime 0.606 (0.554)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.255 (0.255)\tLoss 0.3782 (0.3782)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.150 (0.166)\tLoss 0.3138 (0.3095)\tPrec@1 92.969 (93.075)\n",
      "Test: [20/157]\tTime 0.149 (0.160)\tLoss 0.3021 (0.3230)\tPrec@1 92.188 (92.578)\n",
      "Test: [30/157]\tTime 0.180 (0.161)\tLoss 0.2814 (0.3240)\tPrec@1 94.141 (92.629)\n",
      "Test: [40/157]\tTime 0.162 (0.161)\tLoss 0.4137 (0.3169)\tPrec@1 91.406 (92.797)\n",
      "Test: [50/157]\tTime 0.177 (0.160)\tLoss 0.3044 (0.3144)\tPrec@1 92.578 (92.846)\n",
      "Test: [60/157]\tTime 0.162 (0.160)\tLoss 0.4296 (0.3102)\tPrec@1 91.797 (93.001)\n",
      "Test: [70/157]\tTime 0.153 (0.160)\tLoss 0.2267 (0.3059)\tPrec@1 93.750 (93.095)\n",
      "Test: [80/157]\tTime 0.185 (0.161)\tLoss 0.3055 (0.3045)\tPrec@1 92.578 (93.075)\n",
      "Test: [90/157]\tTime 0.157 (0.160)\tLoss 0.4553 (0.3026)\tPrec@1 91.406 (93.153)\n",
      "Test: [100/157]\tTime 0.182 (0.160)\tLoss 0.3525 (0.3005)\tPrec@1 92.188 (93.178)\n",
      "Test: [110/157]\tTime 0.149 (0.161)\tLoss 0.3993 (0.2998)\tPrec@1 91.797 (93.173)\n",
      "Test: [120/157]\tTime 0.180 (0.161)\tLoss 0.4346 (0.3005)\tPrec@1 90.234 (93.140)\n",
      "Test: [130/157]\tTime 0.149 (0.161)\tLoss 0.1743 (0.3010)\tPrec@1 94.922 (93.118)\n",
      "Test: [140/157]\tTime 0.150 (0.161)\tLoss 0.3378 (0.3014)\tPrec@1 92.578 (93.110)\n",
      "Test: [150/157]\tTime 0.143 (0.161)\tLoss 0.3056 (0.3002)\tPrec@1 92.578 (93.152)\n",
      " * Prec@1 93.157\n",
      "Epoch: [97][0/118]\tTime 0.262 (0.262)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][10/118]\tTime 0.573 (0.526)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][20/118]\tTime 0.606 (0.537)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][30/118]\tTime 0.565 (0.542)\tLoss 0.0024 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][40/118]\tTime 0.522 (0.540)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][50/118]\tTime 0.565 (0.542)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][60/118]\tTime 0.569 (0.544)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][70/118]\tTime 0.560 (0.546)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][80/118]\tTime 0.597 (0.548)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][90/118]\tTime 0.581 (0.550)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][100/118]\tTime 0.527 (0.551)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [97][110/118]\tTime 0.546 (0.550)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.307 (0.307)\tLoss 0.2782 (0.2782)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.153 (0.174)\tLoss 0.1691 (0.2725)\tPrec@1 96.094 (93.430)\n",
      "Test: [20/157]\tTime 0.149 (0.166)\tLoss 0.4456 (0.3073)\tPrec@1 91.016 (93.229)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [30/157]\tTime 0.195 (0.167)\tLoss 0.3561 (0.3146)\tPrec@1 90.625 (93.107)\n",
      "Test: [40/157]\tTime 0.163 (0.165)\tLoss 0.4119 (0.3142)\tPrec@1 92.188 (93.064)\n",
      "Test: [50/157]\tTime 0.170 (0.166)\tLoss 0.1927 (0.3064)\tPrec@1 95.703 (93.244)\n",
      "Test: [60/157]\tTime 0.173 (0.165)\tLoss 0.2095 (0.3026)\tPrec@1 94.531 (93.218)\n",
      "Test: [70/157]\tTime 0.155 (0.164)\tLoss 0.1931 (0.2954)\tPrec@1 94.922 (93.392)\n",
      "Test: [80/157]\tTime 0.187 (0.163)\tLoss 0.4669 (0.2988)\tPrec@1 91.016 (93.364)\n",
      "Test: [90/157]\tTime 0.155 (0.162)\tLoss 0.3013 (0.2972)\tPrec@1 90.625 (93.359)\n",
      "Test: [100/157]\tTime 0.186 (0.162)\tLoss 0.2459 (0.2986)\tPrec@1 94.141 (93.328)\n",
      "Test: [110/157]\tTime 0.160 (0.162)\tLoss 0.2305 (0.2991)\tPrec@1 94.141 (93.300)\n",
      "Test: [120/157]\tTime 0.157 (0.162)\tLoss 0.3354 (0.3012)\tPrec@1 92.188 (93.250)\n",
      "Test: [130/157]\tTime 0.175 (0.162)\tLoss 0.2556 (0.3013)\tPrec@1 94.531 (93.210)\n",
      "Test: [140/157]\tTime 0.156 (0.162)\tLoss 0.2678 (0.3026)\tPrec@1 91.797 (93.185)\n",
      "Test: [150/157]\tTime 0.151 (0.162)\tLoss 0.2351 (0.3016)\tPrec@1 94.922 (93.204)\n",
      " * Prec@1 93.218\n",
      "Epoch: [98][0/118]\tTime 0.261 (0.261)\tLoss 0.0022 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][10/118]\tTime 0.527 (0.530)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][20/118]\tTime 0.531 (0.542)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][30/118]\tTime 0.585 (0.546)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][40/118]\tTime 0.533 (0.547)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [98][50/118]\tTime 0.540 (0.549)\tLoss 0.0020 (0.0017)\tPrec@1 100.000 (99.992)\n",
      "Epoch: [98][60/118]\tTime 0.600 (0.551)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (99.987)\n",
      "Epoch: [98][70/118]\tTime 0.519 (0.553)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (99.989)\n",
      "Epoch: [98][80/118]\tTime 0.583 (0.554)\tLoss 0.0020 (0.0017)\tPrec@1 100.000 (99.990)\n",
      "Epoch: [98][90/118]\tTime 0.589 (0.555)\tLoss 0.0029 (0.0017)\tPrec@1 100.000 (99.991)\n",
      "Epoch: [98][100/118]\tTime 0.568 (0.556)\tLoss 0.0021 (0.0017)\tPrec@1 100.000 (99.992)\n",
      "Epoch: [98][110/118]\tTime 0.578 (0.556)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (99.993)\n",
      "Test: [0/157]\tTime 0.301 (0.301)\tLoss 0.2074 (0.2074)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.161 (0.173)\tLoss 0.3507 (0.2817)\tPrec@1 91.016 (93.111)\n",
      "Test: [20/157]\tTime 0.148 (0.169)\tLoss 0.2939 (0.2663)\tPrec@1 94.531 (93.620)\n",
      "Test: [30/157]\tTime 0.150 (0.165)\tLoss 0.4395 (0.3055)\tPrec@1 91.016 (93.120)\n",
      "Test: [40/157]\tTime 0.157 (0.163)\tLoss 0.3271 (0.3000)\tPrec@1 91.406 (93.178)\n",
      "Test: [50/157]\tTime 0.157 (0.163)\tLoss 0.1989 (0.3068)\tPrec@1 95.703 (93.030)\n",
      "Test: [60/157]\tTime 0.152 (0.162)\tLoss 0.2783 (0.3046)\tPrec@1 92.969 (93.084)\n",
      "Test: [70/157]\tTime 0.162 (0.161)\tLoss 0.2928 (0.3013)\tPrec@1 92.969 (93.123)\n",
      "Test: [80/157]\tTime 0.153 (0.162)\tLoss 0.2095 (0.3046)\tPrec@1 95.312 (93.060)\n",
      "Test: [90/157]\tTime 0.147 (0.161)\tLoss 0.4047 (0.3055)\tPrec@1 92.578 (93.072)\n",
      "Test: [100/157]\tTime 0.185 (0.161)\tLoss 0.2321 (0.3012)\tPrec@1 94.141 (93.181)\n",
      "Test: [110/157]\tTime 0.172 (0.162)\tLoss 0.3599 (0.3006)\tPrec@1 92.188 (93.194)\n",
      "Test: [120/157]\tTime 0.153 (0.162)\tLoss 0.2915 (0.2981)\tPrec@1 92.188 (93.230)\n",
      "Test: [130/157]\tTime 0.155 (0.162)\tLoss 0.2592 (0.2991)\tPrec@1 93.750 (93.237)\n",
      "Test: [140/157]\tTime 0.151 (0.162)\tLoss 0.2882 (0.2999)\tPrec@1 92.578 (93.229)\n",
      "Test: [150/157]\tTime 0.175 (0.162)\tLoss 0.2839 (0.2993)\tPrec@1 94.922 (93.246)\n",
      " * Prec@1 93.228\n",
      "Epoch: [99][0/118]\tTime 0.270 (0.270)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][10/118]\tTime 0.540 (0.530)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][20/118]\tTime 0.533 (0.537)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][30/118]\tTime 0.554 (0.543)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][40/118]\tTime 0.557 (0.544)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][50/118]\tTime 0.545 (0.545)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][60/118]\tTime 0.576 (0.550)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][70/118]\tTime 0.570 (0.550)\tLoss 0.0023 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][80/118]\tTime 0.547 (0.550)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][90/118]\tTime 0.565 (0.552)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][100/118]\tTime 0.545 (0.552)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [99][110/118]\tTime 0.518 (0.551)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.311 (0.311)\tLoss 0.3831 (0.3831)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.151 (0.181)\tLoss 0.4013 (0.3345)\tPrec@1 90.625 (92.614)\n",
      "Test: [20/157]\tTime 0.153 (0.169)\tLoss 0.3311 (0.2958)\tPrec@1 92.578 (93.322)\n",
      "Test: [30/157]\tTime 0.176 (0.165)\tLoss 0.2692 (0.2980)\tPrec@1 94.141 (93.145)\n",
      "Test: [40/157]\tTime 0.147 (0.163)\tLoss 0.2790 (0.3065)\tPrec@1 92.969 (93.016)\n",
      "Test: [50/157]\tTime 0.157 (0.162)\tLoss 0.2611 (0.3089)\tPrec@1 92.969 (92.984)\n",
      "Test: [60/157]\tTime 0.153 (0.162)\tLoss 0.3268 (0.3102)\tPrec@1 92.969 (92.982)\n",
      "Test: [70/157]\tTime 0.156 (0.161)\tLoss 0.3658 (0.3130)\tPrec@1 92.578 (92.969)\n",
      "Test: [80/157]\tTime 0.167 (0.162)\tLoss 0.2303 (0.3110)\tPrec@1 94.531 (93.003)\n",
      "Test: [90/157]\tTime 0.158 (0.162)\tLoss 0.3998 (0.3124)\tPrec@1 92.969 (92.977)\n",
      "Test: [100/157]\tTime 0.171 (0.163)\tLoss 0.2369 (0.3074)\tPrec@1 95.312 (93.100)\n",
      "Test: [110/157]\tTime 0.153 (0.163)\tLoss 0.2737 (0.3078)\tPrec@1 93.359 (93.078)\n",
      "Test: [120/157]\tTime 0.182 (0.163)\tLoss 0.1934 (0.3066)\tPrec@1 96.094 (93.095)\n",
      "Test: [130/157]\tTime 0.158 (0.163)\tLoss 0.2554 (0.3069)\tPrec@1 94.141 (93.121)\n",
      "Test: [140/157]\tTime 0.151 (0.163)\tLoss 0.3170 (0.3046)\tPrec@1 92.578 (93.154)\n",
      "Test: [150/157]\tTime 0.143 (0.163)\tLoss 0.2837 (0.3034)\tPrec@1 95.312 (93.196)\n",
      " * Prec@1 93.170\n",
      "Epoch: [100][0/118]\tTime 0.309 (0.309)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][10/118]\tTime 0.627 (0.545)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][20/118]\tTime 0.514 (0.543)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][30/118]\tTime 0.562 (0.551)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][40/118]\tTime 0.545 (0.557)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][50/118]\tTime 0.541 (0.558)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][60/118]\tTime 0.605 (0.559)\tLoss 0.0021 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][70/118]\tTime 0.560 (0.560)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][80/118]\tTime 0.578 (0.561)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][90/118]\tTime 0.592 (0.562)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][100/118]\tTime 0.521 (0.562)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [100][110/118]\tTime 0.536 (0.562)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.3597 (0.3597)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.189 (0.172)\tLoss 0.3991 (0.3077)\tPrec@1 91.406 (93.359)\n",
      "Test: [20/157]\tTime 0.194 (0.168)\tLoss 0.1957 (0.3167)\tPrec@1 95.312 (93.099)\n",
      "Test: [30/157]\tTime 0.160 (0.164)\tLoss 0.3395 (0.3222)\tPrec@1 92.969 (92.994)\n",
      "Test: [40/157]\tTime 0.192 (0.178)\tLoss 0.1542 (0.3141)\tPrec@1 96.094 (93.083)\n",
      "Test: [50/157]\tTime 0.158 (0.178)\tLoss 0.3510 (0.3108)\tPrec@1 92.188 (93.053)\n",
      "Test: [60/157]\tTime 0.171 (0.177)\tLoss 0.2335 (0.3071)\tPrec@1 94.922 (93.110)\n",
      "Test: [70/157]\tTime 0.174 (0.174)\tLoss 0.2678 (0.3076)\tPrec@1 93.750 (93.079)\n",
      "Test: [80/157]\tTime 0.159 (0.171)\tLoss 0.2479 (0.3038)\tPrec@1 93.750 (93.138)\n",
      "Test: [90/157]\tTime 0.158 (0.171)\tLoss 0.2860 (0.3047)\tPrec@1 94.141 (93.153)\n",
      "Test: [100/157]\tTime 0.162 (0.170)\tLoss 0.3947 (0.3030)\tPrec@1 91.797 (93.205)\n",
      "Test: [110/157]\tTime 0.173 (0.169)\tLoss 0.2759 (0.3016)\tPrec@1 94.531 (93.247)\n",
      "Test: [120/157]\tTime 0.153 (0.168)\tLoss 0.3238 (0.3023)\tPrec@1 92.188 (93.211)\n",
      "Test: [130/157]\tTime 0.160 (0.168)\tLoss 0.3874 (0.3080)\tPrec@1 92.188 (93.115)\n",
      "Test: [140/157]\tTime 0.162 (0.167)\tLoss 0.2779 (0.3063)\tPrec@1 93.750 (93.129)\n",
      "Test: [150/157]\tTime 0.150 (0.167)\tLoss 0.1567 (0.3056)\tPrec@1 97.266 (93.142)\n",
      " * Prec@1 93.162\n",
      "Epoch: [101][0/118]\tTime 0.259 (0.259)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][10/118]\tTime 0.528 (0.516)\tLoss 0.0022 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][20/118]\tTime 0.512 (0.532)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][30/118]\tTime 0.542 (0.536)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [101][40/118]\tTime 0.545 (0.538)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][50/118]\tTime 0.564 (0.541)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][60/118]\tTime 0.576 (0.544)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][70/118]\tTime 0.582 (0.550)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][80/118]\tTime 1.010 (0.556)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][90/118]\tTime 0.570 (0.568)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][100/118]\tTime 0.583 (0.566)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [101][110/118]\tTime 0.574 (0.565)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.263 (0.263)\tLoss 0.3428 (0.3428)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.157 (0.167)\tLoss 0.4248 (0.3009)\tPrec@1 91.797 (93.146)\n",
      "Test: [20/157]\tTime 0.162 (0.162)\tLoss 0.3572 (0.3045)\tPrec@1 92.578 (92.857)\n",
      "Test: [30/157]\tTime 0.177 (0.160)\tLoss 0.3510 (0.3137)\tPrec@1 93.359 (92.843)\n",
      "Test: [40/157]\tTime 0.169 (0.160)\tLoss 0.3427 (0.3194)\tPrec@1 92.969 (93.007)\n",
      "Test: [50/157]\tTime 0.162 (0.159)\tLoss 0.3050 (0.3141)\tPrec@1 93.359 (93.160)\n",
      "Test: [60/157]\tTime 0.165 (0.161)\tLoss 0.3062 (0.3094)\tPrec@1 93.750 (93.244)\n",
      "Test: [70/157]\tTime 0.155 (0.160)\tLoss 0.4886 (0.3158)\tPrec@1 88.672 (93.018)\n",
      "Test: [80/157]\tTime 0.156 (0.159)\tLoss 0.3772 (0.3138)\tPrec@1 91.797 (93.080)\n",
      "Test: [90/157]\tTime 0.151 (0.159)\tLoss 0.3739 (0.3148)\tPrec@1 92.578 (93.076)\n",
      "Test: [100/157]\tTime 0.162 (0.158)\tLoss 0.3765 (0.3142)\tPrec@1 93.359 (93.077)\n",
      "Test: [110/157]\tTime 0.156 (0.158)\tLoss 0.2178 (0.3127)\tPrec@1 94.531 (93.131)\n",
      "Test: [120/157]\tTime 0.186 (0.159)\tLoss 0.2524 (0.3112)\tPrec@1 93.359 (93.133)\n",
      "Test: [130/157]\tTime 0.151 (0.159)\tLoss 0.1860 (0.3102)\tPrec@1 94.922 (93.151)\n",
      "Test: [140/157]\tTime 0.157 (0.159)\tLoss 0.2479 (0.3093)\tPrec@1 93.750 (93.160)\n",
      "Test: [150/157]\tTime 0.154 (0.159)\tLoss 0.4451 (0.3077)\tPrec@1 91.797 (93.199)\n",
      " * Prec@1 93.183\n",
      "Epoch: [102][0/118]\tTime 0.267 (0.267)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][10/118]\tTime 0.545 (0.525)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][20/118]\tTime 0.575 (0.534)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][30/118]\tTime 0.529 (0.540)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][40/118]\tTime 0.562 (0.546)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][50/118]\tTime 0.574 (0.549)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][60/118]\tTime 0.591 (0.550)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][70/118]\tTime 0.567 (0.551)\tLoss 0.0022 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][80/118]\tTime 0.592 (0.554)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][90/118]\tTime 0.514 (0.554)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][100/118]\tTime 0.518 (0.553)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [102][110/118]\tTime 0.599 (0.555)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.334 (0.334)\tLoss 0.2363 (0.2363)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.160 (0.175)\tLoss 0.2345 (0.3237)\tPrec@1 93.750 (92.472)\n",
      "Test: [20/157]\tTime 0.175 (0.171)\tLoss 0.1690 (0.2894)\tPrec@1 94.922 (93.341)\n",
      "Test: [30/157]\tTime 0.149 (0.166)\tLoss 0.2383 (0.3012)\tPrec@1 93.359 (93.296)\n",
      "Test: [40/157]\tTime 0.162 (0.164)\tLoss 0.2904 (0.3041)\tPrec@1 94.141 (93.321)\n",
      "Test: [50/157]\tTime 0.180 (0.163)\tLoss 0.2231 (0.3046)\tPrec@1 95.312 (93.275)\n",
      "Test: [60/157]\tTime 0.147 (0.163)\tLoss 0.2536 (0.3044)\tPrec@1 94.531 (93.263)\n",
      "Test: [70/157]\tTime 0.143 (0.162)\tLoss 0.2860 (0.3084)\tPrec@1 92.969 (93.205)\n",
      "Test: [80/157]\tTime 0.150 (0.161)\tLoss 0.5774 (0.3146)\tPrec@1 88.672 (93.128)\n",
      "Test: [90/157]\tTime 0.157 (0.161)\tLoss 0.3379 (0.3127)\tPrec@1 91.797 (93.162)\n",
      "Test: [100/157]\tTime 0.147 (0.160)\tLoss 0.3200 (0.3102)\tPrec@1 93.750 (93.247)\n",
      "Test: [110/157]\tTime 0.193 (0.162)\tLoss 0.2757 (0.3073)\tPrec@1 94.141 (93.285)\n",
      "Test: [120/157]\tTime 0.151 (0.162)\tLoss 0.3084 (0.3046)\tPrec@1 93.359 (93.343)\n",
      "Test: [130/157]\tTime 0.148 (0.161)\tLoss 0.3463 (0.3042)\tPrec@1 92.578 (93.347)\n",
      "Test: [140/157]\tTime 0.148 (0.161)\tLoss 0.2902 (0.3070)\tPrec@1 94.141 (93.318)\n",
      "Test: [150/157]\tTime 0.146 (0.161)\tLoss 0.2347 (0.3077)\tPrec@1 95.312 (93.279)\n",
      " * Prec@1 93.248\n",
      "Epoch: [103][0/118]\tTime 0.258 (0.258)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][10/118]\tTime 0.575 (0.542)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][20/118]\tTime 0.548 (0.545)\tLoss 0.0020 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][30/118]\tTime 0.541 (0.550)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][40/118]\tTime 0.513 (0.548)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][50/118]\tTime 0.566 (0.549)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][60/118]\tTime 0.590 (0.551)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][70/118]\tTime 0.554 (0.552)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][80/118]\tTime 0.530 (0.552)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][90/118]\tTime 0.569 (0.551)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][100/118]\tTime 0.558 (0.552)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [103][110/118]\tTime 0.537 (0.552)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.305 (0.305)\tLoss 0.2952 (0.2952)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.151 (0.178)\tLoss 0.3292 (0.3228)\tPrec@1 91.016 (93.146)\n",
      "Test: [20/157]\tTime 0.186 (0.167)\tLoss 0.3298 (0.3289)\tPrec@1 92.188 (93.062)\n",
      "Test: [30/157]\tTime 0.151 (0.165)\tLoss 0.3862 (0.3076)\tPrec@1 90.625 (93.397)\n",
      "Test: [40/157]\tTime 0.148 (0.164)\tLoss 0.4017 (0.3099)\tPrec@1 91.406 (93.293)\n",
      "Test: [50/157]\tTime 0.163 (0.164)\tLoss 0.2925 (0.3080)\tPrec@1 92.969 (93.344)\n",
      "Test: [60/157]\tTime 0.175 (0.164)\tLoss 0.4326 (0.3086)\tPrec@1 91.406 (93.315)\n",
      "Test: [70/157]\tTime 0.175 (0.164)\tLoss 0.3697 (0.3136)\tPrec@1 92.188 (93.189)\n",
      "Test: [80/157]\tTime 0.152 (0.162)\tLoss 0.1504 (0.3110)\tPrec@1 95.312 (93.248)\n",
      "Test: [90/157]\tTime 0.152 (0.162)\tLoss 0.5129 (0.3166)\tPrec@1 91.016 (93.153)\n",
      "Test: [100/157]\tTime 0.149 (0.161)\tLoss 0.2623 (0.3160)\tPrec@1 94.141 (93.170)\n",
      "Test: [110/157]\tTime 0.168 (0.161)\tLoss 0.3070 (0.3164)\tPrec@1 92.969 (93.159)\n",
      "Test: [120/157]\tTime 0.151 (0.161)\tLoss 0.2114 (0.3122)\tPrec@1 95.312 (93.250)\n",
      "Test: [130/157]\tTime 0.159 (0.161)\tLoss 0.2521 (0.3093)\tPrec@1 94.922 (93.288)\n",
      "Test: [140/157]\tTime 0.154 (0.162)\tLoss 0.2925 (0.3109)\tPrec@1 93.750 (93.260)\n",
      "Test: [150/157]\tTime 0.148 (0.162)\tLoss 0.2400 (0.3129)\tPrec@1 94.922 (93.227)\n",
      " * Prec@1 93.228\n",
      "Epoch: [104][0/118]\tTime 0.272 (0.272)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][10/118]\tTime 0.519 (0.522)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][20/118]\tTime 0.618 (0.555)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][30/118]\tTime 0.541 (0.561)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][40/118]\tTime 0.557 (0.557)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][50/118]\tTime 0.534 (0.554)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][60/118]\tTime 0.549 (0.554)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][70/118]\tTime 0.597 (0.554)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][80/118]\tTime 0.554 (0.552)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][90/118]\tTime 0.569 (0.552)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][100/118]\tTime 0.557 (0.552)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [104][110/118]\tTime 0.525 (0.552)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.2583 (0.2583)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.169 (0.172)\tLoss 0.2357 (0.2994)\tPrec@1 94.922 (93.395)\n",
      "Test: [20/157]\tTime 0.148 (0.165)\tLoss 0.2235 (0.2879)\tPrec@1 94.531 (93.620)\n",
      "Test: [30/157]\tTime 0.154 (0.162)\tLoss 0.2819 (0.3081)\tPrec@1 94.141 (93.183)\n",
      "Test: [40/157]\tTime 0.155 (0.160)\tLoss 0.3839 (0.3167)\tPrec@1 91.406 (93.045)\n",
      "Test: [50/157]\tTime 0.173 (0.160)\tLoss 0.1575 (0.3170)\tPrec@1 96.484 (93.137)\n",
      "Test: [60/157]\tTime 0.161 (0.160)\tLoss 0.1646 (0.3054)\tPrec@1 96.094 (93.327)\n",
      "Test: [70/157]\tTime 0.155 (0.160)\tLoss 0.3491 (0.3132)\tPrec@1 92.578 (93.194)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [80/157]\tTime 0.145 (0.161)\tLoss 0.1673 (0.3126)\tPrec@1 95.312 (93.215)\n",
      "Test: [90/157]\tTime 0.162 (0.160)\tLoss 0.3076 (0.3133)\tPrec@1 93.359 (93.188)\n",
      "Test: [100/157]\tTime 0.155 (0.160)\tLoss 0.2558 (0.3130)\tPrec@1 92.969 (93.197)\n",
      "Test: [110/157]\tTime 0.157 (0.160)\tLoss 0.3228 (0.3131)\tPrec@1 92.969 (93.190)\n",
      "Test: [120/157]\tTime 0.154 (0.160)\tLoss 0.2904 (0.3142)\tPrec@1 94.531 (93.217)\n",
      "Test: [130/157]\tTime 0.149 (0.160)\tLoss 0.2792 (0.3129)\tPrec@1 92.969 (93.225)\n",
      "Test: [140/157]\tTime 0.161 (0.161)\tLoss 0.3265 (0.3129)\tPrec@1 92.578 (93.204)\n",
      "Test: [150/157]\tTime 0.157 (0.162)\tLoss 0.2846 (0.3126)\tPrec@1 92.188 (93.183)\n",
      " * Prec@1 93.205\n",
      "Epoch: [105][0/118]\tTime 0.279 (0.279)\tLoss 0.0022 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][10/118]\tTime 0.566 (0.546)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][20/118]\tTime 0.560 (0.550)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][30/118]\tTime 0.580 (0.547)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][40/118]\tTime 0.536 (0.544)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][50/118]\tTime 0.554 (0.544)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][60/118]\tTime 0.559 (0.549)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][70/118]\tTime 0.545 (0.548)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][80/118]\tTime 0.533 (0.549)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][90/118]\tTime 0.562 (0.549)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][100/118]\tTime 0.561 (0.550)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [105][110/118]\tTime 0.550 (0.552)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.318 (0.318)\tLoss 0.2867 (0.2867)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.151 (0.173)\tLoss 0.3078 (0.3133)\tPrec@1 92.969 (93.217)\n",
      "Test: [20/157]\tTime 0.154 (0.163)\tLoss 0.3536 (0.3311)\tPrec@1 92.969 (93.118)\n",
      "Test: [30/157]\tTime 0.157 (0.161)\tLoss 0.4415 (0.3244)\tPrec@1 92.188 (93.233)\n",
      "Test: [40/157]\tTime 0.150 (0.159)\tLoss 0.2550 (0.3276)\tPrec@1 94.531 (93.245)\n",
      "Test: [50/157]\tTime 0.185 (0.160)\tLoss 0.3891 (0.3192)\tPrec@1 91.797 (93.344)\n",
      "Test: [60/157]\tTime 0.146 (0.159)\tLoss 0.2769 (0.3217)\tPrec@1 94.531 (93.244)\n",
      "Test: [70/157]\tTime 0.179 (0.159)\tLoss 0.2011 (0.3189)\tPrec@1 94.922 (93.293)\n",
      "Test: [80/157]\tTime 0.151 (0.158)\tLoss 0.2358 (0.3194)\tPrec@1 94.141 (93.224)\n",
      "Test: [90/157]\tTime 0.160 (0.158)\tLoss 0.2121 (0.3202)\tPrec@1 95.312 (93.179)\n",
      "Test: [100/157]\tTime 0.154 (0.159)\tLoss 0.3449 (0.3196)\tPrec@1 93.750 (93.201)\n",
      "Test: [110/157]\tTime 0.154 (0.159)\tLoss 0.3266 (0.3217)\tPrec@1 92.578 (93.152)\n",
      "Test: [120/157]\tTime 0.158 (0.159)\tLoss 0.3604 (0.3216)\tPrec@1 93.359 (93.172)\n",
      "Test: [130/157]\tTime 0.160 (0.159)\tLoss 0.3828 (0.3199)\tPrec@1 91.406 (93.163)\n",
      "Test: [140/157]\tTime 0.156 (0.159)\tLoss 0.3234 (0.3198)\tPrec@1 93.750 (93.143)\n",
      "Test: [150/157]\tTime 0.150 (0.160)\tLoss 0.2757 (0.3197)\tPrec@1 93.750 (93.121)\n",
      " * Prec@1 93.138\n",
      "Epoch: [106][0/118]\tTime 0.283 (0.283)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][10/118]\tTime 0.551 (0.526)\tLoss 0.0019 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][20/118]\tTime 0.568 (0.537)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][30/118]\tTime 0.573 (0.545)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][40/118]\tTime 0.566 (0.551)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][50/118]\tTime 0.549 (0.549)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][60/118]\tTime 0.561 (0.551)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][70/118]\tTime 0.587 (0.551)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][80/118]\tTime 0.545 (0.561)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][90/118]\tTime 0.540 (0.561)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][100/118]\tTime 0.531 (0.559)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [106][110/118]\tTime 0.548 (0.557)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.311 (0.311)\tLoss 0.4207 (0.4207)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.162 (0.165)\tLoss 0.2330 (0.3146)\tPrec@1 95.312 (93.501)\n",
      "Test: [20/157]\tTime 0.153 (0.161)\tLoss 0.3168 (0.2994)\tPrec@1 92.969 (93.583)\n",
      "Test: [30/157]\tTime 0.159 (0.165)\tLoss 0.3548 (0.3127)\tPrec@1 92.969 (93.410)\n",
      "Test: [40/157]\tTime 0.157 (0.165)\tLoss 0.2374 (0.3090)\tPrec@1 94.141 (93.378)\n",
      "Test: [50/157]\tTime 0.167 (0.164)\tLoss 0.2340 (0.3123)\tPrec@1 94.531 (93.283)\n",
      "Test: [60/157]\tTime 0.192 (0.164)\tLoss 0.3874 (0.3115)\tPrec@1 92.188 (93.276)\n",
      "Test: [70/157]\tTime 0.156 (0.163)\tLoss 0.2318 (0.3088)\tPrec@1 93.750 (93.337)\n",
      "Test: [80/157]\tTime 0.155 (0.162)\tLoss 0.2810 (0.3087)\tPrec@1 92.578 (93.297)\n",
      "Test: [90/157]\tTime 0.150 (0.161)\tLoss 0.4330 (0.3166)\tPrec@1 91.406 (93.106)\n",
      "Test: [100/157]\tTime 0.212 (0.161)\tLoss 0.1816 (0.3132)\tPrec@1 96.484 (93.181)\n",
      "Test: [110/157]\tTime 0.154 (0.161)\tLoss 0.2825 (0.3142)\tPrec@1 91.797 (93.190)\n",
      "Test: [120/157]\tTime 0.157 (0.161)\tLoss 0.3029 (0.3142)\tPrec@1 92.969 (93.185)\n",
      "Test: [130/157]\tTime 0.154 (0.161)\tLoss 0.2487 (0.3111)\tPrec@1 94.531 (93.216)\n",
      "Test: [140/157]\tTime 0.153 (0.160)\tLoss 0.3003 (0.3106)\tPrec@1 92.578 (93.237)\n",
      "Test: [150/157]\tTime 0.150 (0.160)\tLoss 0.3126 (0.3116)\tPrec@1 92.188 (93.222)\n",
      " * Prec@1 93.172\n",
      "Epoch: [107][0/118]\tTime 0.263 (0.263)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][10/118]\tTime 0.556 (0.515)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][20/118]\tTime 0.549 (0.528)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][30/118]\tTime 0.530 (0.534)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][40/118]\tTime 0.545 (0.540)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][50/118]\tTime 0.551 (0.544)\tLoss 0.0021 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][60/118]\tTime 0.585 (0.548)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][70/118]\tTime 0.561 (0.548)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][80/118]\tTime 0.527 (0.548)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][90/118]\tTime 0.568 (0.548)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][100/118]\tTime 0.557 (0.551)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [107][110/118]\tTime 0.573 (0.552)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.258 (0.258)\tLoss 0.3167 (0.3167)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.148 (0.171)\tLoss 0.2164 (0.3018)\tPrec@1 94.141 (93.714)\n",
      "Test: [20/157]\tTime 0.172 (0.165)\tLoss 0.4224 (0.3145)\tPrec@1 91.406 (93.527)\n",
      "Test: [30/157]\tTime 0.156 (0.163)\tLoss 0.2715 (0.3155)\tPrec@1 94.531 (93.435)\n",
      "Test: [40/157]\tTime 0.166 (0.163)\tLoss 0.2224 (0.3076)\tPrec@1 94.922 (93.579)\n",
      "Test: [50/157]\tTime 0.176 (0.163)\tLoss 0.3568 (0.3193)\tPrec@1 92.578 (93.321)\n",
      "Test: [60/157]\tTime 0.154 (0.164)\tLoss 0.5020 (0.3206)\tPrec@1 90.234 (93.270)\n",
      "Test: [70/157]\tTime 0.147 (0.163)\tLoss 0.1893 (0.3153)\tPrec@1 94.531 (93.359)\n",
      "Test: [80/157]\tTime 0.150 (0.163)\tLoss 0.2575 (0.3159)\tPrec@1 92.969 (93.330)\n",
      "Test: [90/157]\tTime 0.154 (0.162)\tLoss 0.3153 (0.3137)\tPrec@1 92.188 (93.291)\n",
      "Test: [100/157]\tTime 0.170 (0.162)\tLoss 0.4020 (0.3146)\tPrec@1 91.797 (93.259)\n",
      "Test: [110/157]\tTime 0.155 (0.163)\tLoss 0.3771 (0.3170)\tPrec@1 92.578 (93.219)\n",
      "Test: [120/157]\tTime 0.183 (0.163)\tLoss 0.3534 (0.3186)\tPrec@1 92.188 (93.192)\n",
      "Test: [130/157]\tTime 0.150 (0.162)\tLoss 0.3976 (0.3228)\tPrec@1 92.188 (93.121)\n",
      "Test: [140/157]\tTime 0.146 (0.162)\tLoss 0.2294 (0.3188)\tPrec@1 95.703 (93.179)\n",
      "Test: [150/157]\tTime 0.161 (0.161)\tLoss 0.2005 (0.3176)\tPrec@1 96.094 (93.209)\n",
      " * Prec@1 93.228\n",
      "Epoch: [108][0/118]\tTime 0.266 (0.266)\tLoss 0.0024 (0.0024)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][10/118]\tTime 0.546 (0.515)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][20/118]\tTime 0.585 (0.542)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][30/118]\tTime 0.535 (0.548)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][40/118]\tTime 0.619 (0.552)\tLoss 0.0022 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][50/118]\tTime 0.620 (0.555)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][60/118]\tTime 0.544 (0.556)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][70/118]\tTime 0.547 (0.559)\tLoss 0.0017 (0.0016)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [108][80/118]\tTime 0.537 (0.560)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][90/118]\tTime 0.522 (0.562)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][100/118]\tTime 0.549 (0.561)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [108][110/118]\tTime 0.558 (0.562)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.295 (0.295)\tLoss 0.2288 (0.2288)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.155 (0.167)\tLoss 0.3275 (0.3387)\tPrec@1 90.234 (92.649)\n",
      "Test: [20/157]\tTime 0.159 (0.167)\tLoss 0.3520 (0.3361)\tPrec@1 92.969 (92.746)\n",
      "Test: [30/157]\tTime 0.149 (0.162)\tLoss 0.2983 (0.3320)\tPrec@1 93.359 (92.755)\n",
      "Test: [40/157]\tTime 0.156 (0.162)\tLoss 0.2563 (0.3251)\tPrec@1 92.969 (92.845)\n",
      "Test: [50/157]\tTime 0.163 (0.161)\tLoss 0.3426 (0.3247)\tPrec@1 93.359 (92.930)\n",
      "Test: [60/157]\tTime 0.150 (0.160)\tLoss 0.1232 (0.3195)\tPrec@1 96.875 (93.007)\n",
      "Test: [70/157]\tTime 0.163 (0.160)\tLoss 0.3357 (0.3201)\tPrec@1 92.969 (93.002)\n",
      "Test: [80/157]\tTime 0.162 (0.161)\tLoss 0.5342 (0.3255)\tPrec@1 88.281 (92.896)\n",
      "Test: [90/157]\tTime 0.159 (0.161)\tLoss 0.2442 (0.3220)\tPrec@1 94.922 (92.999)\n",
      "Test: [100/157]\tTime 0.156 (0.161)\tLoss 0.3767 (0.3194)\tPrec@1 92.578 (93.050)\n",
      "Test: [110/157]\tTime 0.154 (0.161)\tLoss 0.4913 (0.3253)\tPrec@1 90.234 (92.983)\n",
      "Test: [120/157]\tTime 0.159 (0.161)\tLoss 0.2316 (0.3265)\tPrec@1 96.094 (92.972)\n",
      "Test: [130/157]\tTime 0.166 (0.161)\tLoss 0.2764 (0.3261)\tPrec@1 92.969 (92.972)\n",
      "Test: [140/157]\tTime 0.155 (0.161)\tLoss 0.3260 (0.3230)\tPrec@1 94.531 (93.021)\n",
      "Test: [150/157]\tTime 0.160 (0.161)\tLoss 0.2830 (0.3248)\tPrec@1 93.750 (92.966)\n",
      " * Prec@1 92.978\n",
      "Epoch: [109][0/118]\tTime 0.263 (0.263)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [109][10/118]\tTime 0.587 (0.518)\tLoss 0.0036 (0.0056)\tPrec@1 100.000 (99.929)\n",
      "Epoch: [109][20/118]\tTime 0.575 (0.537)\tLoss 0.0020 (0.0054)\tPrec@1 100.000 (99.926)\n",
      "Epoch: [109][30/118]\tTime 0.554 (0.544)\tLoss 0.0023 (0.0051)\tPrec@1 100.000 (99.937)\n",
      "Epoch: [109][40/118]\tTime 0.578 (0.545)\tLoss 0.0022 (0.0045)\tPrec@1 100.000 (99.952)\n",
      "Epoch: [109][50/118]\tTime 0.512 (0.546)\tLoss 0.0025 (0.0042)\tPrec@1 100.000 (99.954)\n",
      "Epoch: [109][60/118]\tTime 0.543 (0.549)\tLoss 0.0052 (0.0041)\tPrec@1 99.609 (99.942)\n",
      "Epoch: [109][70/118]\tTime 0.604 (0.551)\tLoss 0.0153 (0.0047)\tPrec@1 99.609 (99.923)\n",
      "Epoch: [109][80/118]\tTime 0.547 (0.551)\tLoss 0.0024 (0.0049)\tPrec@1 100.000 (99.918)\n",
      "Epoch: [109][90/118]\tTime 0.566 (0.552)\tLoss 0.0059 (0.0049)\tPrec@1 100.000 (99.918)\n",
      "Epoch: [109][100/118]\tTime 0.537 (0.549)\tLoss 0.0044 (0.0051)\tPrec@1 100.000 (99.911)\n",
      "Epoch: [109][110/118]\tTime 0.521 (0.550)\tLoss 0.0132 (0.0055)\tPrec@1 99.609 (99.905)\n",
      "Test: [0/157]\tTime 0.310 (0.310)\tLoss 0.5638 (0.5638)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.150 (0.183)\tLoss 0.5472 (0.5577)\tPrec@1 89.844 (89.062)\n",
      "Test: [20/157]\tTime 0.168 (0.172)\tLoss 0.5756 (0.5591)\tPrec@1 90.234 (89.044)\n",
      "Test: [30/157]\tTime 0.149 (0.168)\tLoss 0.4976 (0.5557)\tPrec@1 89.844 (89.100)\n",
      "Test: [40/157]\tTime 0.146 (0.166)\tLoss 0.6445 (0.5669)\tPrec@1 87.891 (88.881)\n",
      "Test: [50/157]\tTime 0.144 (0.164)\tLoss 0.6710 (0.5607)\tPrec@1 87.891 (88.925)\n",
      "Test: [60/157]\tTime 0.169 (0.163)\tLoss 0.4694 (0.5606)\tPrec@1 89.453 (88.909)\n",
      "Test: [70/157]\tTime 0.169 (0.164)\tLoss 0.4151 (0.5635)\tPrec@1 91.797 (88.815)\n",
      "Test: [80/157]\tTime 0.156 (0.164)\tLoss 0.6406 (0.5683)\tPrec@1 86.328 (88.715)\n",
      "Test: [90/157]\tTime 0.151 (0.164)\tLoss 0.5653 (0.5685)\tPrec@1 87.109 (88.702)\n",
      "Test: [100/157]\tTime 0.144 (0.162)\tLoss 0.5044 (0.5683)\tPrec@1 91.016 (88.703)\n",
      "Test: [110/157]\tTime 0.178 (0.162)\tLoss 0.5982 (0.5742)\tPrec@1 88.672 (88.626)\n",
      "Test: [120/157]\tTime 0.160 (0.162)\tLoss 0.5295 (0.5757)\tPrec@1 90.234 (88.598)\n",
      "Test: [130/157]\tTime 0.151 (0.161)\tLoss 0.6172 (0.5731)\tPrec@1 88.281 (88.642)\n",
      "Test: [140/157]\tTime 0.150 (0.160)\tLoss 0.5723 (0.5720)\tPrec@1 89.062 (88.675)\n",
      "Test: [150/157]\tTime 0.149 (0.160)\tLoss 0.5450 (0.5735)\tPrec@1 89.062 (88.667)\n",
      " * Prec@1 88.655\n",
      "Epoch: [110][0/118]\tTime 0.272 (0.272)\tLoss 0.0758 (0.0758)\tPrec@1 98.047 (98.047)\n",
      "Epoch: [110][10/118]\tTime 0.530 (0.522)\tLoss 0.0284 (0.0533)\tPrec@1 99.219 (98.651)\n",
      "Epoch: [110][20/118]\tTime 0.596 (0.541)\tLoss 0.0328 (0.0437)\tPrec@1 98.828 (98.847)\n",
      "Epoch: [110][30/118]\tTime 0.540 (0.544)\tLoss 0.0183 (0.0382)\tPrec@1 99.219 (99.005)\n",
      "Epoch: [110][40/118]\tTime 0.520 (0.545)\tLoss 0.0239 (0.0329)\tPrec@1 99.609 (99.143)\n",
      "Epoch: [110][50/118]\tTime 0.508 (0.547)\tLoss 0.0173 (0.0289)\tPrec@1 99.219 (99.226)\n",
      "Epoch: [110][60/118]\tTime 0.542 (0.550)\tLoss 0.0140 (0.0258)\tPrec@1 99.219 (99.315)\n",
      "Epoch: [110][70/118]\tTime 0.540 (0.551)\tLoss 0.0123 (0.0240)\tPrec@1 99.609 (99.356)\n",
      "Epoch: [110][80/118]\tTime 0.569 (0.551)\tLoss 0.0075 (0.0225)\tPrec@1 100.000 (99.402)\n",
      "Epoch: [110][90/118]\tTime 0.565 (0.552)\tLoss 0.0202 (0.0214)\tPrec@1 99.609 (99.446)\n",
      "Epoch: [110][100/118]\tTime 0.553 (0.553)\tLoss 0.0091 (0.0203)\tPrec@1 100.000 (99.478)\n",
      "Epoch: [110][110/118]\tTime 0.563 (0.554)\tLoss 0.0120 (0.0192)\tPrec@1 99.609 (99.511)\n",
      "Test: [0/157]\tTime 0.314 (0.314)\tLoss 0.3675 (0.3675)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.154 (0.176)\tLoss 0.3979 (0.3383)\tPrec@1 91.016 (92.081)\n",
      "Test: [20/157]\tTime 0.195 (0.177)\tLoss 0.3693 (0.3378)\tPrec@1 94.531 (92.281)\n",
      "Test: [30/157]\tTime 0.152 (0.176)\tLoss 0.2836 (0.3422)\tPrec@1 93.750 (92.301)\n",
      "Test: [40/157]\tTime 0.158 (0.171)\tLoss 0.3820 (0.3397)\tPrec@1 93.359 (92.521)\n",
      "Test: [50/157]\tTime 0.193 (0.170)\tLoss 0.3260 (0.3356)\tPrec@1 94.141 (92.593)\n",
      "Test: [60/157]\tTime 0.158 (0.168)\tLoss 0.3621 (0.3378)\tPrec@1 92.188 (92.476)\n",
      "Test: [70/157]\tTime 0.158 (0.168)\tLoss 0.4590 (0.3433)\tPrec@1 91.016 (92.342)\n",
      "Test: [80/157]\tTime 0.155 (0.167)\tLoss 0.2154 (0.3404)\tPrec@1 94.531 (92.361)\n",
      "Test: [90/157]\tTime 0.177 (0.167)\tLoss 0.3625 (0.3470)\tPrec@1 92.188 (92.256)\n",
      "Test: [100/157]\tTime 0.174 (0.165)\tLoss 0.4290 (0.3514)\tPrec@1 91.016 (92.149)\n",
      "Test: [110/157]\tTime 0.153 (0.164)\tLoss 0.3381 (0.3514)\tPrec@1 92.969 (92.163)\n",
      "Test: [120/157]\tTime 0.147 (0.164)\tLoss 0.3690 (0.3547)\tPrec@1 91.797 (92.120)\n",
      "Test: [130/157]\tTime 0.154 (0.163)\tLoss 0.2424 (0.3541)\tPrec@1 94.531 (92.113)\n",
      "Test: [140/157]\tTime 0.161 (0.162)\tLoss 0.2208 (0.3503)\tPrec@1 94.922 (92.190)\n",
      "Test: [150/157]\tTime 0.158 (0.161)\tLoss 0.4383 (0.3529)\tPrec@1 91.797 (92.206)\n",
      " * Prec@1 92.230\n",
      "Epoch: [111][0/118]\tTime 0.276 (0.276)\tLoss 0.0072 (0.0072)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [111][10/118]\tTime 0.581 (0.521)\tLoss 0.0061 (0.0100)\tPrec@1 100.000 (99.751)\n",
      "Epoch: [111][20/118]\tTime 0.571 (0.538)\tLoss 0.0033 (0.0091)\tPrec@1 100.000 (99.758)\n",
      "Epoch: [111][30/118]\tTime 0.573 (0.543)\tLoss 0.0039 (0.0094)\tPrec@1 100.000 (99.761)\n",
      "Epoch: [111][40/118]\tTime 0.540 (0.547)\tLoss 0.0043 (0.0087)\tPrec@1 100.000 (99.800)\n",
      "Epoch: [111][50/118]\tTime 0.560 (0.547)\tLoss 0.0031 (0.0082)\tPrec@1 100.000 (99.816)\n",
      "Epoch: [111][60/118]\tTime 0.542 (0.548)\tLoss 0.0220 (0.0085)\tPrec@1 99.609 (99.801)\n",
      "Epoch: [111][70/118]\tTime 0.514 (0.549)\tLoss 0.0031 (0.0083)\tPrec@1 100.000 (99.807)\n",
      "Epoch: [111][80/118]\tTime 0.514 (0.550)\tLoss 0.0247 (0.0084)\tPrec@1 99.609 (99.807)\n",
      "Epoch: [111][90/118]\tTime 0.517 (0.551)\tLoss 0.0110 (0.0082)\tPrec@1 99.609 (99.811)\n",
      "Epoch: [111][100/118]\tTime 0.550 (0.551)\tLoss 0.0094 (0.0093)\tPrec@1 99.609 (99.780)\n",
      "Epoch: [111][110/118]\tTime 0.641 (0.553)\tLoss 0.0109 (0.0094)\tPrec@1 99.609 (99.778)\n",
      "Test: [0/157]\tTime 0.359 (0.359)\tLoss 0.1320 (0.1320)\tPrec@1 96.094 (96.094)\n",
      "Test: [10/157]\tTime 0.176 (0.181)\tLoss 0.3178 (0.3693)\tPrec@1 91.406 (91.477)\n",
      "Test: [20/157]\tTime 0.163 (0.173)\tLoss 0.3562 (0.3704)\tPrec@1 91.016 (91.388)\n",
      "Test: [30/157]\tTime 0.154 (0.168)\tLoss 0.2407 (0.3589)\tPrec@1 94.141 (91.507)\n",
      "Test: [40/157]\tTime 0.154 (0.167)\tLoss 0.3887 (0.3567)\tPrec@1 91.406 (91.502)\n",
      "Test: [50/157]\tTime 0.163 (0.164)\tLoss 0.3372 (0.3587)\tPrec@1 89.062 (91.468)\n",
      "Test: [60/157]\tTime 0.154 (0.164)\tLoss 0.4011 (0.3537)\tPrec@1 91.797 (91.630)\n",
      "Test: [70/157]\tTime 0.150 (0.163)\tLoss 0.4415 (0.3576)\tPrec@1 89.453 (91.637)\n",
      "Test: [80/157]\tTime 0.155 (0.163)\tLoss 0.1945 (0.3565)\tPrec@1 94.141 (91.676)\n",
      "Test: [90/157]\tTime 0.179 (0.162)\tLoss 0.2878 (0.3526)\tPrec@1 92.578 (91.707)\n",
      "Test: [100/157]\tTime 0.208 (0.163)\tLoss 0.2749 (0.3531)\tPrec@1 92.188 (91.720)\n",
      "Test: [110/157]\tTime 0.162 (0.163)\tLoss 0.4410 (0.3562)\tPrec@1 90.625 (91.698)\n",
      "Test: [120/157]\tTime 0.155 (0.163)\tLoss 0.2257 (0.3552)\tPrec@1 92.969 (91.687)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [130/157]\tTime 0.147 (0.162)\tLoss 0.1490 (0.3532)\tPrec@1 96.094 (91.767)\n",
      "Test: [140/157]\tTime 0.175 (0.162)\tLoss 0.2622 (0.3513)\tPrec@1 94.141 (91.811)\n",
      "Test: [150/157]\tTime 0.161 (0.162)\tLoss 0.2236 (0.3491)\tPrec@1 93.750 (91.859)\n",
      " * Prec@1 91.868\n",
      "Epoch: [112][0/118]\tTime 0.259 (0.259)\tLoss 0.0202 (0.0202)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [112][10/118]\tTime 0.527 (0.540)\tLoss 0.0074 (0.0081)\tPrec@1 100.000 (99.858)\n",
      "Epoch: [112][20/118]\tTime 0.570 (0.536)\tLoss 0.0226 (0.0114)\tPrec@1 99.609 (99.740)\n",
      "Epoch: [112][30/118]\tTime 0.552 (0.544)\tLoss 0.0099 (0.0122)\tPrec@1 99.609 (99.710)\n",
      "Epoch: [112][40/118]\tTime 0.603 (0.546)\tLoss 0.0096 (0.0124)\tPrec@1 99.609 (99.695)\n",
      "Epoch: [112][50/118]\tTime 0.600 (0.546)\tLoss 0.0080 (0.0119)\tPrec@1 99.609 (99.709)\n",
      "Epoch: [112][60/118]\tTime 0.553 (0.546)\tLoss 0.0022 (0.0116)\tPrec@1 100.000 (99.731)\n",
      "Epoch: [112][70/118]\tTime 0.538 (0.548)\tLoss 0.0040 (0.0113)\tPrec@1 100.000 (99.725)\n",
      "Epoch: [112][80/118]\tTime 0.598 (0.549)\tLoss 0.0110 (0.0114)\tPrec@1 99.609 (99.706)\n",
      "Epoch: [112][90/118]\tTime 0.548 (0.551)\tLoss 0.0050 (0.0112)\tPrec@1 100.000 (99.717)\n",
      "Epoch: [112][100/118]\tTime 0.526 (0.551)\tLoss 0.0080 (0.0109)\tPrec@1 99.609 (99.725)\n",
      "Epoch: [112][110/118]\tTime 0.522 (0.551)\tLoss 0.0048 (0.0105)\tPrec@1 100.000 (99.740)\n",
      "Test: [0/157]\tTime 0.315 (0.315)\tLoss 0.3084 (0.3084)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.147 (0.179)\tLoss 0.1822 (0.3386)\tPrec@1 94.531 (92.543)\n",
      "Test: [20/157]\tTime 0.160 (0.167)\tLoss 0.1953 (0.3204)\tPrec@1 96.484 (92.839)\n",
      "Test: [30/157]\tTime 0.147 (0.163)\tLoss 0.2429 (0.3082)\tPrec@1 94.141 (93.044)\n",
      "Test: [40/157]\tTime 0.144 (0.162)\tLoss 0.4078 (0.3146)\tPrec@1 92.578 (92.845)\n",
      "Test: [50/157]\tTime 0.175 (0.163)\tLoss 0.3814 (0.3186)\tPrec@1 92.188 (92.678)\n",
      "Test: [60/157]\tTime 0.173 (0.163)\tLoss 0.2714 (0.3154)\tPrec@1 93.359 (92.725)\n",
      "Test: [70/157]\tTime 0.162 (0.163)\tLoss 0.3106 (0.3139)\tPrec@1 92.188 (92.738)\n",
      "Test: [80/157]\tTime 0.155 (0.162)\tLoss 0.2792 (0.3173)\tPrec@1 93.750 (92.670)\n",
      "Test: [90/157]\tTime 0.160 (0.161)\tLoss 0.3521 (0.3174)\tPrec@1 91.797 (92.681)\n",
      "Test: [100/157]\tTime 0.143 (0.161)\tLoss 0.3471 (0.3199)\tPrec@1 93.359 (92.652)\n",
      "Test: [110/157]\tTime 0.158 (0.161)\tLoss 0.1745 (0.3206)\tPrec@1 95.703 (92.631)\n",
      "Test: [120/157]\tTime 0.149 (0.160)\tLoss 0.2454 (0.3205)\tPrec@1 93.359 (92.594)\n",
      "Test: [130/157]\tTime 0.163 (0.160)\tLoss 0.3159 (0.3192)\tPrec@1 93.359 (92.614)\n",
      "Test: [140/157]\tTime 0.147 (0.159)\tLoss 0.2114 (0.3179)\tPrec@1 94.922 (92.631)\n",
      "Test: [150/157]\tTime 0.171 (0.159)\tLoss 0.3597 (0.3163)\tPrec@1 92.969 (92.666)\n",
      " * Prec@1 92.688\n",
      "Epoch: [113][0/118]\tTime 0.310 (0.310)\tLoss 0.0032 (0.0032)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][10/118]\tTime 0.624 (0.539)\tLoss 0.0033 (0.0031)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][20/118]\tTime 0.552 (0.543)\tLoss 0.0026 (0.0032)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][30/118]\tTime 0.661 (0.559)\tLoss 0.0030 (0.0031)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [113][40/118]\tTime 0.538 (0.556)\tLoss 0.0018 (0.0030)\tPrec@1 100.000 (99.990)\n",
      "Epoch: [113][50/118]\tTime 0.536 (0.555)\tLoss 0.0034 (0.0030)\tPrec@1 100.000 (99.985)\n",
      "Epoch: [113][60/118]\tTime 0.588 (0.557)\tLoss 0.0071 (0.0033)\tPrec@1 99.609 (99.962)\n",
      "Epoch: [113][70/118]\tTime 0.538 (0.559)\tLoss 0.0025 (0.0034)\tPrec@1 100.000 (99.961)\n",
      "Epoch: [113][80/118]\tTime 0.575 (0.556)\tLoss 0.0018 (0.0033)\tPrec@1 100.000 (99.966)\n",
      "Epoch: [113][90/118]\tTime 0.546 (0.557)\tLoss 0.0016 (0.0033)\tPrec@1 100.000 (99.966)\n",
      "Epoch: [113][100/118]\tTime 0.550 (0.557)\tLoss 0.0025 (0.0033)\tPrec@1 100.000 (99.965)\n",
      "Epoch: [113][110/118]\tTime 0.517 (0.556)\tLoss 0.0022 (0.0033)\tPrec@1 100.000 (99.968)\n",
      "Test: [0/157]\tTime 0.323 (0.323)\tLoss 0.4090 (0.4090)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.156 (0.168)\tLoss 0.2671 (0.3635)\tPrec@1 94.141 (92.188)\n",
      "Test: [20/157]\tTime 0.162 (0.164)\tLoss 0.2861 (0.3466)\tPrec@1 92.578 (92.634)\n",
      "Test: [30/157]\tTime 0.150 (0.161)\tLoss 0.3076 (0.3488)\tPrec@1 92.578 (92.578)\n",
      "Test: [40/157]\tTime 0.191 (0.163)\tLoss 0.4027 (0.3427)\tPrec@1 91.016 (92.626)\n",
      "Test: [50/157]\tTime 0.148 (0.164)\tLoss 0.3420 (0.3485)\tPrec@1 92.578 (92.502)\n",
      "Test: [60/157]\tTime 0.147 (0.162)\tLoss 0.4655 (0.3463)\tPrec@1 90.625 (92.520)\n",
      "Test: [70/157]\tTime 0.151 (0.162)\tLoss 0.3718 (0.3415)\tPrec@1 91.406 (92.589)\n",
      "Test: [80/157]\tTime 0.160 (0.164)\tLoss 0.2714 (0.3385)\tPrec@1 94.141 (92.607)\n",
      "Test: [90/157]\tTime 0.148 (0.163)\tLoss 0.4518 (0.3389)\tPrec@1 91.016 (92.621)\n",
      "Test: [100/157]\tTime 0.165 (0.163)\tLoss 0.3051 (0.3366)\tPrec@1 94.531 (92.683)\n",
      "Test: [110/157]\tTime 0.167 (0.163)\tLoss 0.3299 (0.3381)\tPrec@1 92.578 (92.652)\n",
      "Test: [120/157]\tTime 0.145 (0.162)\tLoss 0.3731 (0.3412)\tPrec@1 93.359 (92.597)\n",
      "Test: [130/157]\tTime 0.185 (0.162)\tLoss 0.4560 (0.3380)\tPrec@1 89.844 (92.638)\n",
      "Test: [140/157]\tTime 0.157 (0.163)\tLoss 0.3293 (0.3409)\tPrec@1 90.625 (92.603)\n",
      "Test: [150/157]\tTime 0.152 (0.162)\tLoss 0.3408 (0.3403)\tPrec@1 91.797 (92.617)\n",
      " * Prec@1 92.618\n",
      "Epoch: [114][0/118]\tTime 0.257 (0.257)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [114][10/118]\tTime 0.543 (0.517)\tLoss 0.0016 (0.0028)\tPrec@1 100.000 (99.964)\n",
      "Epoch: [114][20/118]\tTime 0.577 (0.531)\tLoss 0.0039 (0.0034)\tPrec@1 100.000 (99.963)\n",
      "Epoch: [114][30/118]\tTime 0.526 (0.547)\tLoss 0.0024 (0.0031)\tPrec@1 100.000 (99.975)\n",
      "Epoch: [114][40/118]\tTime 0.553 (0.546)\tLoss 0.0127 (0.0033)\tPrec@1 99.219 (99.952)\n",
      "Epoch: [114][50/118]\tTime 0.564 (0.546)\tLoss 0.0019 (0.0031)\tPrec@1 100.000 (99.962)\n",
      "Epoch: [114][60/118]\tTime 0.590 (0.548)\tLoss 0.0018 (0.0030)\tPrec@1 100.000 (99.968)\n",
      "Epoch: [114][70/118]\tTime 0.541 (0.550)\tLoss 0.0018 (0.0029)\tPrec@1 100.000 (99.972)\n",
      "Epoch: [114][80/118]\tTime 0.531 (0.551)\tLoss 0.0031 (0.0030)\tPrec@1 100.000 (99.966)\n",
      "Epoch: [114][90/118]\tTime 0.572 (0.552)\tLoss 0.0018 (0.0031)\tPrec@1 100.000 (99.957)\n",
      "Epoch: [114][100/118]\tTime 0.590 (0.553)\tLoss 0.0034 (0.0035)\tPrec@1 100.000 (99.938)\n",
      "Epoch: [114][110/118]\tTime 0.541 (0.552)\tLoss 0.0058 (0.0039)\tPrec@1 100.000 (99.930)\n",
      "Test: [0/157]\tTime 0.303 (0.303)\tLoss 0.5879 (0.5879)\tPrec@1 89.062 (89.062)\n",
      "Test: [10/157]\tTime 0.156 (0.171)\tLoss 0.4597 (0.5060)\tPrec@1 89.844 (89.489)\n",
      "Test: [20/157]\tTime 0.160 (0.163)\tLoss 0.5576 (0.4997)\tPrec@1 87.891 (89.435)\n",
      "Test: [30/157]\tTime 0.155 (0.164)\tLoss 0.2988 (0.4902)\tPrec@1 93.359 (89.592)\n",
      "Test: [40/157]\tTime 0.161 (0.165)\tLoss 0.4638 (0.4928)\tPrec@1 89.453 (89.463)\n",
      "Test: [50/157]\tTime 0.179 (0.166)\tLoss 0.6245 (0.4949)\tPrec@1 87.109 (89.415)\n",
      "Test: [60/157]\tTime 0.162 (0.165)\tLoss 0.5195 (0.4930)\tPrec@1 89.062 (89.434)\n",
      "Test: [70/157]\tTime 0.219 (0.165)\tLoss 0.5396 (0.4917)\tPrec@1 87.500 (89.404)\n",
      "Test: [80/157]\tTime 0.154 (0.164)\tLoss 0.3601 (0.4971)\tPrec@1 92.969 (89.255)\n",
      "Test: [90/157]\tTime 0.144 (0.163)\tLoss 0.3344 (0.4919)\tPrec@1 90.625 (89.324)\n",
      "Test: [100/157]\tTime 0.148 (0.163)\tLoss 0.3565 (0.4919)\tPrec@1 91.797 (89.368)\n",
      "Test: [110/157]\tTime 0.144 (0.162)\tLoss 0.4412 (0.4940)\tPrec@1 90.625 (89.351)\n",
      "Test: [120/157]\tTime 0.152 (0.163)\tLoss 0.5114 (0.4962)\tPrec@1 90.625 (89.285)\n",
      "Test: [130/157]\tTime 0.185 (0.163)\tLoss 0.3453 (0.4970)\tPrec@1 89.062 (89.295)\n",
      "Test: [140/157]\tTime 0.152 (0.163)\tLoss 0.4888 (0.4966)\tPrec@1 89.844 (89.342)\n",
      "Test: [150/157]\tTime 0.156 (0.162)\tLoss 0.4370 (0.4937)\tPrec@1 91.016 (89.407)\n",
      " * Prec@1 89.410\n",
      "Epoch: [115][0/118]\tTime 0.292 (0.292)\tLoss 0.0037 (0.0037)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [115][10/118]\tTime 0.578 (0.558)\tLoss 0.0163 (0.0264)\tPrec@1 99.609 (99.254)\n",
      "Epoch: [115][20/118]\tTime 0.548 (0.557)\tLoss 0.0239 (0.0273)\tPrec@1 99.219 (99.200)\n",
      "Epoch: [115][30/118]\tTime 0.554 (0.550)\tLoss 0.0101 (0.0259)\tPrec@1 100.000 (99.269)\n",
      "Epoch: [115][40/118]\tTime 0.589 (0.551)\tLoss 0.0091 (0.0246)\tPrec@1 100.000 (99.304)\n",
      "Epoch: [115][50/118]\tTime 0.550 (0.553)\tLoss 0.0410 (0.0231)\tPrec@1 98.438 (99.372)\n",
      "Epoch: [115][60/118]\tTime 0.524 (0.551)\tLoss 0.0127 (0.0227)\tPrec@1 99.609 (99.379)\n",
      "Epoch: [115][70/118]\tTime 0.548 (0.550)\tLoss 0.0148 (0.0218)\tPrec@1 99.219 (99.395)\n",
      "Epoch: [115][80/118]\tTime 0.565 (0.551)\tLoss 0.0069 (0.0208)\tPrec@1 100.000 (99.421)\n",
      "Epoch: [115][90/118]\tTime 0.562 (0.551)\tLoss 0.0126 (0.0196)\tPrec@1 99.219 (99.463)\n",
      "Epoch: [115][100/118]\tTime 0.565 (0.552)\tLoss 0.0171 (0.0187)\tPrec@1 99.219 (99.497)\n",
      "Epoch: [115][110/118]\tTime 0.544 (0.552)\tLoss 0.0077 (0.0182)\tPrec@1 100.000 (99.514)\n",
      "Test: [0/157]\tTime 0.319 (0.319)\tLoss 0.2374 (0.2374)\tPrec@1 93.359 (93.359)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [10/157]\tTime 0.170 (0.179)\tLoss 0.3578 (0.3610)\tPrec@1 92.188 (91.655)\n",
      "Test: [20/157]\tTime 0.155 (0.172)\tLoss 0.4006 (0.3624)\tPrec@1 90.234 (91.462)\n",
      "Test: [30/157]\tTime 0.155 (0.167)\tLoss 0.2308 (0.3586)\tPrec@1 94.531 (91.709)\n",
      "Test: [40/157]\tTime 0.154 (0.165)\tLoss 0.4030 (0.3637)\tPrec@1 91.797 (91.463)\n",
      "Test: [50/157]\tTime 0.168 (0.164)\tLoss 0.3320 (0.3587)\tPrec@1 90.234 (91.552)\n",
      "Test: [60/157]\tTime 0.159 (0.164)\tLoss 0.3137 (0.3626)\tPrec@1 92.578 (91.489)\n",
      "Test: [70/157]\tTime 0.148 (0.163)\tLoss 0.2259 (0.3596)\tPrec@1 94.531 (91.566)\n",
      "Test: [80/157]\tTime 0.148 (0.162)\tLoss 0.5216 (0.3586)\tPrec@1 87.891 (91.546)\n",
      "Test: [90/157]\tTime 0.149 (0.161)\tLoss 0.4915 (0.3623)\tPrec@1 89.062 (91.505)\n",
      "Test: [100/157]\tTime 0.162 (0.161)\tLoss 0.2358 (0.3606)\tPrec@1 94.141 (91.538)\n",
      "Test: [110/157]\tTime 0.156 (0.160)\tLoss 0.3774 (0.3571)\tPrec@1 89.062 (91.568)\n",
      "Test: [120/157]\tTime 0.150 (0.160)\tLoss 0.2670 (0.3560)\tPrec@1 92.578 (91.593)\n",
      "Test: [130/157]\tTime 0.179 (0.159)\tLoss 0.3041 (0.3610)\tPrec@1 93.359 (91.481)\n",
      "Test: [140/157]\tTime 0.143 (0.159)\tLoss 0.3230 (0.3607)\tPrec@1 92.188 (91.506)\n",
      "Test: [150/157]\tTime 0.162 (0.159)\tLoss 0.3097 (0.3575)\tPrec@1 93.359 (91.569)\n",
      " * Prec@1 91.560\n",
      "Epoch: [116][0/118]\tTime 0.261 (0.261)\tLoss 0.0055 (0.0055)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [116][10/118]\tTime 0.537 (0.529)\tLoss 0.0031 (0.0077)\tPrec@1 100.000 (99.858)\n",
      "Epoch: [116][20/118]\tTime 0.549 (0.546)\tLoss 0.0094 (0.0075)\tPrec@1 99.609 (99.851)\n",
      "Epoch: [116][30/118]\tTime 0.546 (0.541)\tLoss 0.0134 (0.0069)\tPrec@1 99.609 (99.887)\n",
      "Epoch: [116][40/118]\tTime 0.543 (0.543)\tLoss 0.0101 (0.0065)\tPrec@1 99.609 (99.886)\n",
      "Epoch: [116][50/118]\tTime 0.521 (0.546)\tLoss 0.0061 (0.0061)\tPrec@1 100.000 (99.893)\n",
      "Epoch: [116][60/118]\tTime 0.571 (0.548)\tLoss 0.0023 (0.0060)\tPrec@1 100.000 (99.904)\n",
      "Epoch: [116][70/118]\tTime 0.560 (0.550)\tLoss 0.0041 (0.0060)\tPrec@1 100.000 (99.901)\n",
      "Epoch: [116][80/118]\tTime 0.572 (0.550)\tLoss 0.0064 (0.0058)\tPrec@1 99.609 (99.904)\n",
      "Epoch: [116][90/118]\tTime 0.553 (0.552)\tLoss 0.0092 (0.0056)\tPrec@1 99.609 (99.910)\n",
      "Epoch: [116][100/118]\tTime 0.523 (0.550)\tLoss 0.0023 (0.0054)\tPrec@1 100.000 (99.911)\n",
      "Epoch: [116][110/118]\tTime 0.551 (0.551)\tLoss 0.0018 (0.0055)\tPrec@1 100.000 (99.909)\n",
      "Test: [0/157]\tTime 0.325 (0.325)\tLoss 0.2353 (0.2353)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.160 (0.174)\tLoss 0.3746 (0.3579)\tPrec@1 93.750 (92.152)\n",
      "Test: [20/157]\tTime 0.152 (0.166)\tLoss 0.3165 (0.3688)\tPrec@1 93.750 (91.890)\n",
      "Test: [30/157]\tTime 0.151 (0.161)\tLoss 0.2612 (0.3828)\tPrec@1 93.750 (91.482)\n",
      "Test: [40/157]\tTime 0.160 (0.160)\tLoss 0.3478 (0.3808)\tPrec@1 92.969 (91.587)\n",
      "Test: [50/157]\tTime 0.148 (0.160)\tLoss 0.4463 (0.3886)\tPrec@1 89.453 (91.368)\n",
      "Test: [60/157]\tTime 0.161 (0.160)\tLoss 0.3605 (0.3877)\tPrec@1 92.969 (91.368)\n",
      "Test: [70/157]\tTime 0.168 (0.160)\tLoss 0.4213 (0.3878)\tPrec@1 89.844 (91.351)\n",
      "Test: [80/157]\tTime 0.160 (0.160)\tLoss 0.3625 (0.3842)\tPrec@1 92.188 (91.435)\n",
      "Test: [90/157]\tTime 0.154 (0.160)\tLoss 0.3865 (0.3871)\tPrec@1 91.797 (91.423)\n",
      "Test: [100/157]\tTime 0.196 (0.161)\tLoss 0.3323 (0.3841)\tPrec@1 92.578 (91.410)\n",
      "Test: [110/157]\tTime 0.148 (0.161)\tLoss 0.3108 (0.3827)\tPrec@1 92.969 (91.456)\n",
      "Test: [120/157]\tTime 0.161 (0.161)\tLoss 0.5124 (0.3819)\tPrec@1 89.844 (91.471)\n",
      "Test: [130/157]\tTime 0.147 (0.160)\tLoss 0.4721 (0.3823)\tPrec@1 90.234 (91.451)\n",
      "Test: [140/157]\tTime 0.219 (0.160)\tLoss 0.2961 (0.3823)\tPrec@1 91.016 (91.398)\n",
      "Test: [150/157]\tTime 0.163 (0.160)\tLoss 0.4780 (0.3851)\tPrec@1 89.453 (91.360)\n",
      " * Prec@1 91.338\n",
      "Epoch: [117][0/118]\tTime 0.268 (0.268)\tLoss 0.0162 (0.0162)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [117][10/118]\tTime 0.556 (0.531)\tLoss 0.0092 (0.0282)\tPrec@1 100.000 (99.396)\n",
      "Epoch: [117][20/118]\tTime 0.568 (0.538)\tLoss 0.0156 (0.0252)\tPrec@1 99.609 (99.349)\n",
      "Epoch: [117][30/118]\tTime 0.542 (0.546)\tLoss 0.0214 (0.0227)\tPrec@1 98.828 (99.383)\n",
      "Epoch: [117][40/118]\tTime 0.576 (0.547)\tLoss 0.0504 (0.0222)\tPrec@1 98.828 (99.419)\n",
      "Epoch: [117][50/118]\tTime 0.570 (0.548)\tLoss 0.0151 (0.0206)\tPrec@1 99.609 (99.479)\n",
      "Epoch: [117][60/118]\tTime 0.560 (0.552)\tLoss 0.0438 (0.0202)\tPrec@1 99.219 (99.475)\n",
      "Epoch: [117][70/118]\tTime 0.538 (0.555)\tLoss 0.0156 (0.0192)\tPrec@1 99.219 (99.505)\n",
      "Epoch: [117][80/118]\tTime 0.519 (0.556)\tLoss 0.0183 (0.0192)\tPrec@1 99.219 (99.503)\n",
      "Epoch: [117][90/118]\tTime 0.545 (0.555)\tLoss 0.0258 (0.0189)\tPrec@1 99.219 (99.506)\n",
      "Epoch: [117][100/118]\tTime 0.556 (0.555)\tLoss 0.0040 (0.0183)\tPrec@1 100.000 (99.524)\n",
      "Epoch: [117][110/118]\tTime 0.535 (0.555)\tLoss 0.0057 (0.0180)\tPrec@1 100.000 (99.525)\n",
      "Test: [0/157]\tTime 0.290 (0.290)\tLoss 0.5162 (0.5162)\tPrec@1 89.453 (89.453)\n",
      "Test: [10/157]\tTime 0.149 (0.163)\tLoss 0.4668 (0.4346)\tPrec@1 88.672 (90.021)\n",
      "Test: [20/157]\tTime 0.151 (0.158)\tLoss 0.4296 (0.4486)\tPrec@1 90.234 (89.900)\n",
      "Test: [30/157]\tTime 0.154 (0.156)\tLoss 0.5879 (0.4582)\tPrec@1 86.328 (89.705)\n",
      "Test: [40/157]\tTime 0.149 (0.156)\tLoss 0.6662 (0.4711)\tPrec@1 85.156 (89.463)\n",
      "Test: [50/157]\tTime 0.152 (0.156)\tLoss 0.4009 (0.4613)\tPrec@1 90.234 (89.622)\n",
      "Test: [60/157]\tTime 0.157 (0.156)\tLoss 0.3283 (0.4550)\tPrec@1 91.406 (89.773)\n",
      "Test: [70/157]\tTime 0.151 (0.155)\tLoss 0.4265 (0.4559)\tPrec@1 89.844 (89.673)\n",
      "Test: [80/157]\tTime 0.155 (0.156)\tLoss 0.5413 (0.4526)\tPrec@1 87.891 (89.762)\n",
      "Test: [90/157]\tTime 0.144 (0.156)\tLoss 0.3712 (0.4552)\tPrec@1 91.406 (89.689)\n",
      "Test: [100/157]\tTime 0.159 (0.157)\tLoss 0.5823 (0.4574)\tPrec@1 86.719 (89.616)\n",
      "Test: [110/157]\tTime 0.151 (0.157)\tLoss 0.4132 (0.4568)\tPrec@1 90.234 (89.636)\n",
      "Test: [120/157]\tTime 0.192 (0.157)\tLoss 0.6267 (0.4586)\tPrec@1 86.719 (89.598)\n",
      "Test: [130/157]\tTime 0.157 (0.157)\tLoss 0.2371 (0.4558)\tPrec@1 95.312 (89.665)\n",
      "Test: [140/157]\tTime 0.174 (0.157)\tLoss 0.4616 (0.4593)\tPrec@1 88.672 (89.561)\n",
      "Test: [150/157]\tTime 0.146 (0.157)\tLoss 0.5815 (0.4623)\tPrec@1 87.500 (89.531)\n",
      " * Prec@1 89.535\n",
      "Epoch: [118][0/118]\tTime 0.263 (0.263)\tLoss 0.0154 (0.0154)\tPrec@1 99.609 (99.609)\n",
      "Epoch: [118][10/118]\tTime 0.571 (0.537)\tLoss 0.0107 (0.0243)\tPrec@1 100.000 (99.396)\n",
      "Epoch: [118][20/118]\tTime 0.842 (0.563)\tLoss 0.0189 (0.0251)\tPrec@1 99.609 (99.349)\n",
      "Epoch: [118][30/118]\tTime 0.562 (0.585)\tLoss 0.0049 (0.0224)\tPrec@1 100.000 (99.395)\n",
      "Epoch: [118][40/118]\tTime 0.569 (0.580)\tLoss 0.0079 (0.0192)\tPrec@1 100.000 (99.486)\n",
      "Epoch: [118][50/118]\tTime 0.515 (0.574)\tLoss 0.0124 (0.0176)\tPrec@1 100.000 (99.525)\n",
      "Epoch: [118][60/118]\tTime 0.530 (0.567)\tLoss 0.0036 (0.0164)\tPrec@1 100.000 (99.571)\n",
      "Epoch: [118][70/118]\tTime 0.539 (0.563)\tLoss 0.0038 (0.0152)\tPrec@1 100.000 (99.598)\n",
      "Epoch: [118][80/118]\tTime 0.533 (0.560)\tLoss 0.0113 (0.0148)\tPrec@1 99.609 (99.600)\n",
      "Epoch: [118][90/118]\tTime 0.554 (0.560)\tLoss 0.0057 (0.0141)\tPrec@1 100.000 (99.622)\n",
      "Epoch: [118][100/118]\tTime 0.520 (0.559)\tLoss 0.0041 (0.0137)\tPrec@1 100.000 (99.633)\n",
      "Epoch: [118][110/118]\tTime 0.558 (0.559)\tLoss 0.0047 (0.0136)\tPrec@1 100.000 (99.641)\n",
      "Test: [0/157]\tTime 0.370 (0.370)\tLoss 0.3508 (0.3508)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.152 (0.181)\tLoss 0.4231 (0.4468)\tPrec@1 90.234 (90.092)\n",
      "Test: [20/157]\tTime 0.145 (0.169)\tLoss 0.4385 (0.4395)\tPrec@1 89.453 (90.123)\n",
      "Test: [30/157]\tTime 0.169 (0.167)\tLoss 0.5634 (0.4271)\tPrec@1 88.672 (90.373)\n",
      "Test: [40/157]\tTime 0.201 (0.166)\tLoss 0.4580 (0.4321)\tPrec@1 90.234 (90.358)\n",
      "Test: [50/157]\tTime 0.152 (0.164)\tLoss 0.3683 (0.4323)\tPrec@1 93.750 (90.479)\n",
      "Test: [60/157]\tTime 0.156 (0.163)\tLoss 0.5697 (0.4369)\tPrec@1 87.500 (90.382)\n",
      "Test: [70/157]\tTime 0.157 (0.162)\tLoss 0.7515 (0.4333)\tPrec@1 84.766 (90.432)\n",
      "Test: [80/157]\tTime 0.159 (0.161)\tLoss 0.2976 (0.4271)\tPrec@1 92.188 (90.567)\n",
      "Test: [90/157]\tTime 0.159 (0.161)\tLoss 0.2812 (0.4264)\tPrec@1 93.359 (90.582)\n",
      "Test: [100/157]\tTime 0.153 (0.160)\tLoss 0.4598 (0.4247)\tPrec@1 88.672 (90.621)\n",
      "Test: [110/157]\tTime 0.168 (0.160)\tLoss 0.4169 (0.4216)\tPrec@1 90.625 (90.713)\n",
      "Test: [120/157]\tTime 0.161 (0.160)\tLoss 0.3524 (0.4187)\tPrec@1 92.188 (90.748)\n",
      "Test: [130/157]\tTime 0.146 (0.161)\tLoss 0.5060 (0.4137)\tPrec@1 89.062 (90.861)\n",
      "Test: [140/157]\tTime 0.158 (0.161)\tLoss 0.4484 (0.4138)\tPrec@1 92.188 (90.869)\n",
      "Test: [150/157]\tTime 0.147 (0.161)\tLoss 0.4705 (0.4119)\tPrec@1 90.234 (90.922)\n",
      " * Prec@1 90.892\n",
      "Epoch: [119][0/118]\tTime 0.274 (0.274)\tLoss 0.0069 (0.0069)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [119][10/118]\tTime 0.595 (0.534)\tLoss 0.0029 (0.0084)\tPrec@1 100.000 (99.822)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [119][20/118]\tTime 0.554 (0.548)\tLoss 0.0033 (0.0081)\tPrec@1 100.000 (99.814)\n",
      "Epoch: [119][30/118]\tTime 0.562 (0.552)\tLoss 0.0026 (0.0072)\tPrec@1 100.000 (99.849)\n",
      "Epoch: [119][40/118]\tTime 0.554 (0.556)\tLoss 0.0100 (0.0070)\tPrec@1 99.609 (99.857)\n",
      "Epoch: [119][50/118]\tTime 0.564 (0.555)\tLoss 0.0024 (0.0061)\tPrec@1 100.000 (99.885)\n",
      "Epoch: [119][60/118]\tTime 0.597 (0.554)\tLoss 0.0023 (0.0060)\tPrec@1 100.000 (99.872)\n",
      "Epoch: [119][70/118]\tTime 0.573 (0.553)\tLoss 0.0017 (0.0056)\tPrec@1 100.000 (99.884)\n",
      "Epoch: [119][80/118]\tTime 0.548 (0.552)\tLoss 0.0026 (0.0053)\tPrec@1 100.000 (99.899)\n",
      "Epoch: [119][90/118]\tTime 0.510 (0.553)\tLoss 0.0019 (0.0051)\tPrec@1 100.000 (99.901)\n",
      "Epoch: [119][100/118]\tTime 0.563 (0.554)\tLoss 0.0020 (0.0049)\tPrec@1 100.000 (99.911)\n",
      "Epoch: [119][110/118]\tTime 0.562 (0.555)\tLoss 0.0017 (0.0046)\tPrec@1 100.000 (99.919)\n",
      "Test: [0/157]\tTime 0.318 (0.318)\tLoss 0.3476 (0.3476)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.148 (0.172)\tLoss 0.2053 (0.3278)\tPrec@1 94.922 (92.685)\n",
      "Test: [20/157]\tTime 0.154 (0.165)\tLoss 0.2517 (0.3080)\tPrec@1 92.969 (93.080)\n",
      "Test: [30/157]\tTime 0.172 (0.165)\tLoss 0.2877 (0.3005)\tPrec@1 94.141 (93.044)\n",
      "Test: [40/157]\tTime 0.162 (0.164)\tLoss 0.4342 (0.3019)\tPrec@1 91.406 (93.150)\n",
      "Test: [50/157]\tTime 0.178 (0.163)\tLoss 0.2927 (0.2947)\tPrec@1 93.750 (93.252)\n",
      "Test: [60/157]\tTime 0.152 (0.161)\tLoss 0.4544 (0.3021)\tPrec@1 89.062 (93.122)\n",
      "Test: [70/157]\tTime 0.160 (0.161)\tLoss 0.3248 (0.3002)\tPrec@1 92.969 (93.156)\n",
      "Test: [80/157]\tTime 0.161 (0.160)\tLoss 0.2819 (0.2975)\tPrec@1 93.750 (93.200)\n",
      "Test: [90/157]\tTime 0.146 (0.161)\tLoss 0.3111 (0.2951)\tPrec@1 92.969 (93.265)\n",
      "Test: [100/157]\tTime 0.176 (0.160)\tLoss 0.2871 (0.2990)\tPrec@1 92.969 (93.228)\n",
      "Test: [110/157]\tTime 0.155 (0.160)\tLoss 0.2221 (0.3019)\tPrec@1 92.578 (93.155)\n",
      "Test: [120/157]\tTime 0.164 (0.160)\tLoss 0.3189 (0.3040)\tPrec@1 92.578 (93.111)\n",
      "Test: [130/157]\tTime 0.149 (0.160)\tLoss 0.2623 (0.3021)\tPrec@1 93.750 (93.148)\n",
      "Test: [140/157]\tTime 0.150 (0.160)\tLoss 0.3193 (0.3018)\tPrec@1 92.969 (93.149)\n",
      "Test: [150/157]\tTime 0.171 (0.160)\tLoss 0.3187 (0.3033)\tPrec@1 93.359 (93.114)\n",
      " * Prec@1 93.047\n",
      "Epoch: [120][0/118]\tTime 0.269 (0.269)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][10/118]\tTime 0.563 (0.526)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][20/118]\tTime 0.550 (0.541)\tLoss 0.0020 (0.0022)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][30/118]\tTime 0.566 (0.545)\tLoss 0.0024 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [120][40/118]\tTime 0.548 (0.546)\tLoss 0.0016 (0.0027)\tPrec@1 100.000 (99.981)\n",
      "Epoch: [120][50/118]\tTime 0.584 (0.550)\tLoss 0.0036 (0.0026)\tPrec@1 100.000 (99.985)\n",
      "Epoch: [120][60/118]\tTime 0.588 (0.552)\tLoss 0.0017 (0.0025)\tPrec@1 100.000 (99.987)\n",
      "Epoch: [120][70/118]\tTime 0.628 (0.556)\tLoss 0.0022 (0.0025)\tPrec@1 100.000 (99.989)\n",
      "Epoch: [120][80/118]\tTime 0.552 (0.556)\tLoss 0.0016 (0.0025)\tPrec@1 100.000 (99.990)\n",
      "Epoch: [120][90/118]\tTime 0.503 (0.559)\tLoss 0.0032 (0.0024)\tPrec@1 100.000 (99.991)\n",
      "Epoch: [120][100/118]\tTime 0.556 (0.559)\tLoss 0.0015 (0.0024)\tPrec@1 100.000 (99.992)\n",
      "Epoch: [120][110/118]\tTime 0.625 (0.560)\tLoss 0.0027 (0.0024)\tPrec@1 100.000 (99.993)\n",
      "Test: [0/157]\tTime 0.330 (0.330)\tLoss 0.3150 (0.3150)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.154 (0.175)\tLoss 0.2976 (0.2863)\tPrec@1 93.750 (93.040)\n",
      "Test: [20/157]\tTime 0.170 (0.167)\tLoss 0.4401 (0.3024)\tPrec@1 89.844 (92.950)\n",
      "Test: [30/157]\tTime 0.153 (0.162)\tLoss 0.3681 (0.3010)\tPrec@1 92.188 (92.969)\n",
      "Test: [40/157]\tTime 0.156 (0.161)\tLoss 0.2525 (0.3019)\tPrec@1 93.359 (92.902)\n",
      "Test: [50/157]\tTime 0.179 (0.162)\tLoss 0.4066 (0.3012)\tPrec@1 92.578 (92.969)\n",
      "Test: [60/157]\tTime 0.189 (0.162)\tLoss 0.2299 (0.3002)\tPrec@1 94.141 (93.033)\n",
      "Test: [70/157]\tTime 0.156 (0.161)\tLoss 0.3752 (0.3032)\tPrec@1 91.797 (93.002)\n",
      "Test: [80/157]\tTime 0.147 (0.160)\tLoss 0.4047 (0.3029)\tPrec@1 91.406 (93.031)\n",
      "Test: [90/157]\tTime 0.149 (0.160)\tLoss 0.3602 (0.3033)\tPrec@1 91.016 (93.025)\n",
      "Test: [100/157]\tTime 0.148 (0.160)\tLoss 0.2680 (0.3020)\tPrec@1 95.703 (93.096)\n",
      "Test: [110/157]\tTime 0.152 (0.161)\tLoss 0.2746 (0.3045)\tPrec@1 93.359 (93.071)\n",
      "Test: [120/157]\tTime 0.152 (0.160)\tLoss 0.2094 (0.2999)\tPrec@1 94.531 (93.150)\n",
      "Test: [130/157]\tTime 0.180 (0.161)\tLoss 0.4541 (0.3055)\tPrec@1 89.062 (93.055)\n",
      "Test: [140/157]\tTime 0.154 (0.160)\tLoss 0.2705 (0.3043)\tPrec@1 94.141 (93.124)\n",
      "Test: [150/157]\tTime 0.162 (0.160)\tLoss 0.2953 (0.3050)\tPrec@1 93.750 (93.096)\n",
      " * Prec@1 93.110\n",
      "Epoch: [121][0/118]\tTime 0.305 (0.305)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][10/118]\tTime 0.547 (0.527)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][20/118]\tTime 0.558 (0.545)\tLoss 0.0016 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][30/118]\tTime 0.598 (0.551)\tLoss 0.0023 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][40/118]\tTime 0.549 (0.553)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][50/118]\tTime 0.552 (0.554)\tLoss 0.0017 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][60/118]\tTime 0.612 (0.557)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][70/118]\tTime 0.571 (0.556)\tLoss 0.0012 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][80/118]\tTime 0.563 (0.556)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][90/118]\tTime 0.600 (0.557)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][100/118]\tTime 0.563 (0.556)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [121][110/118]\tTime 0.570 (0.556)\tLoss 0.0015 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.308 (0.308)\tLoss 0.4469 (0.4469)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.159 (0.171)\tLoss 0.3266 (0.3123)\tPrec@1 91.797 (92.720)\n",
      "Test: [20/157]\tTime 0.146 (0.166)\tLoss 0.2438 (0.3163)\tPrec@1 92.969 (92.820)\n",
      "Test: [30/157]\tTime 0.156 (0.163)\tLoss 0.1755 (0.3203)\tPrec@1 96.094 (92.881)\n",
      "Test: [40/157]\tTime 0.193 (0.167)\tLoss 0.3242 (0.3213)\tPrec@1 92.578 (92.816)\n",
      "Test: [50/157]\tTime 0.152 (0.166)\tLoss 0.2908 (0.3180)\tPrec@1 93.750 (92.808)\n",
      "Test: [60/157]\tTime 0.153 (0.165)\tLoss 0.2625 (0.3162)\tPrec@1 93.359 (92.828)\n",
      "Test: [70/157]\tTime 0.156 (0.165)\tLoss 0.2571 (0.3134)\tPrec@1 93.359 (92.859)\n",
      "Test: [80/157]\tTime 0.146 (0.163)\tLoss 0.3099 (0.3116)\tPrec@1 91.797 (92.887)\n",
      "Test: [90/157]\tTime 0.156 (0.162)\tLoss 0.3139 (0.3150)\tPrec@1 91.797 (92.827)\n",
      "Test: [100/157]\tTime 0.154 (0.163)\tLoss 0.2104 (0.3108)\tPrec@1 95.312 (92.953)\n",
      "Test: [110/157]\tTime 0.153 (0.162)\tLoss 0.2109 (0.3056)\tPrec@1 94.922 (93.057)\n",
      "Test: [120/157]\tTime 0.162 (0.162)\tLoss 0.2961 (0.3079)\tPrec@1 93.750 (93.082)\n",
      "Test: [130/157]\tTime 0.179 (0.162)\tLoss 0.3352 (0.3077)\tPrec@1 91.016 (93.079)\n",
      "Test: [140/157]\tTime 0.149 (0.162)\tLoss 0.3150 (0.3093)\tPrec@1 92.578 (93.038)\n",
      "Test: [150/157]\tTime 0.154 (0.161)\tLoss 0.1648 (0.3083)\tPrec@1 95.312 (93.080)\n",
      " * Prec@1 93.132\n",
      "Epoch: [122][0/118]\tTime 0.260 (0.260)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][10/118]\tTime 0.577 (0.530)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][20/118]\tTime 0.517 (0.541)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][30/118]\tTime 0.522 (0.542)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][40/118]\tTime 0.547 (0.549)\tLoss 0.0014 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][50/118]\tTime 0.681 (0.553)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][60/118]\tTime 0.578 (0.554)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][70/118]\tTime 0.565 (0.553)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][80/118]\tTime 0.555 (0.551)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][90/118]\tTime 0.549 (0.552)\tLoss 0.0018 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][100/118]\tTime 0.647 (0.554)\tLoss 0.0015 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [122][110/118]\tTime 0.539 (0.553)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.305 (0.305)\tLoss 0.1078 (0.1078)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.152 (0.169)\tLoss 0.4887 (0.2847)\tPrec@1 89.453 (93.359)\n",
      "Test: [20/157]\tTime 0.147 (0.162)\tLoss 0.3051 (0.2962)\tPrec@1 92.188 (93.248)\n",
      "Test: [30/157]\tTime 0.153 (0.163)\tLoss 0.3941 (0.2910)\tPrec@1 90.234 (93.448)\n",
      "Test: [40/157]\tTime 0.178 (0.161)\tLoss 0.2990 (0.3064)\tPrec@1 92.578 (93.150)\n",
      "Test: [50/157]\tTime 0.189 (0.161)\tLoss 0.1921 (0.3133)\tPrec@1 94.922 (93.084)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.156 (0.161)\tLoss 0.3681 (0.3125)\tPrec@1 91.797 (93.154)\n",
      "Test: [70/157]\tTime 0.151 (0.162)\tLoss 0.2605 (0.3071)\tPrec@1 94.922 (93.293)\n",
      "Test: [80/157]\tTime 0.150 (0.161)\tLoss 0.2798 (0.3052)\tPrec@1 94.141 (93.321)\n",
      "Test: [90/157]\tTime 0.149 (0.160)\tLoss 0.1590 (0.3024)\tPrec@1 95.703 (93.389)\n",
      "Test: [100/157]\tTime 0.153 (0.160)\tLoss 0.3271 (0.3038)\tPrec@1 92.578 (93.352)\n",
      "Test: [110/157]\tTime 0.167 (0.160)\tLoss 0.2917 (0.3078)\tPrec@1 93.750 (93.285)\n",
      "Test: [120/157]\tTime 0.147 (0.160)\tLoss 0.3276 (0.3087)\tPrec@1 92.578 (93.233)\n",
      "Test: [130/157]\tTime 0.158 (0.161)\tLoss 0.3043 (0.3079)\tPrec@1 94.141 (93.198)\n",
      "Test: [140/157]\tTime 0.165 (0.161)\tLoss 0.5030 (0.3096)\tPrec@1 89.844 (93.160)\n",
      "Test: [150/157]\tTime 0.149 (0.160)\tLoss 0.1510 (0.3104)\tPrec@1 96.094 (93.171)\n",
      " * Prec@1 93.195\n",
      "Epoch: [123][0/118]\tTime 0.268 (0.268)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][10/118]\tTime 0.585 (0.526)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][20/118]\tTime 0.513 (0.537)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][30/118]\tTime 0.524 (0.536)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][40/118]\tTime 0.575 (0.537)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][50/118]\tTime 0.590 (0.541)\tLoss 0.0013 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][60/118]\tTime 0.555 (0.544)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][70/118]\tTime 0.549 (0.545)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][80/118]\tTime 0.575 (0.548)\tLoss 0.0020 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][90/118]\tTime 0.525 (0.548)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][100/118]\tTime 0.560 (0.548)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [123][110/118]\tTime 0.556 (0.548)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.312 (0.312)\tLoss 0.3836 (0.3836)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.159 (0.174)\tLoss 0.3491 (0.3266)\tPrec@1 92.578 (93.111)\n",
      "Test: [20/157]\tTime 0.181 (0.166)\tLoss 0.2203 (0.3113)\tPrec@1 96.094 (93.359)\n",
      "Test: [30/157]\tTime 0.148 (0.166)\tLoss 0.2946 (0.3024)\tPrec@1 94.531 (93.448)\n",
      "Test: [40/157]\tTime 0.165 (0.163)\tLoss 0.3053 (0.3067)\tPrec@1 92.188 (93.207)\n",
      "Test: [50/157]\tTime 0.157 (0.163)\tLoss 0.2672 (0.3004)\tPrec@1 93.359 (93.321)\n",
      "Test: [60/157]\tTime 0.148 (0.163)\tLoss 0.3062 (0.2986)\tPrec@1 93.359 (93.353)\n",
      "Test: [70/157]\tTime 0.156 (0.162)\tLoss 0.2864 (0.3028)\tPrec@1 93.359 (93.332)\n",
      "Test: [80/157]\tTime 0.165 (0.161)\tLoss 0.2436 (0.3006)\tPrec@1 93.750 (93.350)\n",
      "Test: [90/157]\tTime 0.150 (0.161)\tLoss 0.2814 (0.3057)\tPrec@1 93.359 (93.291)\n",
      "Test: [100/157]\tTime 0.152 (0.161)\tLoss 0.2275 (0.3077)\tPrec@1 94.141 (93.232)\n",
      "Test: [110/157]\tTime 0.163 (0.161)\tLoss 0.4362 (0.3088)\tPrec@1 89.844 (93.205)\n",
      "Test: [120/157]\tTime 0.190 (0.161)\tLoss 0.2127 (0.3074)\tPrec@1 94.141 (93.217)\n",
      "Test: [130/157]\tTime 0.153 (0.161)\tLoss 0.3660 (0.3102)\tPrec@1 92.188 (93.163)\n",
      "Test: [140/157]\tTime 0.159 (0.161)\tLoss 0.2439 (0.3112)\tPrec@1 96.094 (93.163)\n",
      "Test: [150/157]\tTime 0.157 (0.161)\tLoss 0.2793 (0.3082)\tPrec@1 92.578 (93.204)\n",
      " * Prec@1 93.185\n",
      "Epoch: [124][0/118]\tTime 0.293 (0.293)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][10/118]\tTime 0.599 (0.530)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][20/118]\tTime 0.562 (0.545)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][30/118]\tTime 0.523 (0.545)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][40/118]\tTime 0.550 (0.546)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][50/118]\tTime 0.568 (0.548)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][60/118]\tTime 0.529 (0.547)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][70/118]\tTime 0.557 (0.548)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][80/118]\tTime 0.580 (0.550)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][90/118]\tTime 0.532 (0.551)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][100/118]\tTime 0.566 (0.550)\tLoss 0.0018 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [124][110/118]\tTime 0.523 (0.550)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.315 (0.315)\tLoss 0.3561 (0.3561)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.197 (0.184)\tLoss 0.3791 (0.3540)\tPrec@1 92.188 (92.791)\n",
      "Test: [20/157]\tTime 0.147 (0.172)\tLoss 0.3711 (0.3113)\tPrec@1 90.234 (93.229)\n",
      "Test: [30/157]\tTime 0.158 (0.167)\tLoss 0.2923 (0.3204)\tPrec@1 94.531 (93.107)\n",
      "Test: [40/157]\tTime 0.157 (0.165)\tLoss 0.2682 (0.3183)\tPrec@1 93.750 (93.093)\n",
      "Test: [50/157]\tTime 0.150 (0.164)\tLoss 0.3228 (0.3185)\tPrec@1 92.188 (92.969)\n",
      "Test: [60/157]\tTime 0.148 (0.164)\tLoss 0.2833 (0.3163)\tPrec@1 94.141 (92.994)\n",
      "Test: [70/157]\tTime 0.154 (0.162)\tLoss 0.3424 (0.3148)\tPrec@1 91.797 (93.029)\n",
      "Test: [80/157]\tTime 0.151 (0.161)\tLoss 0.3288 (0.3134)\tPrec@1 93.359 (93.012)\n",
      "Test: [90/157]\tTime 0.263 (0.164)\tLoss 0.3181 (0.3123)\tPrec@1 92.188 (93.003)\n",
      "Test: [100/157]\tTime 0.156 (0.165)\tLoss 0.4972 (0.3156)\tPrec@1 88.672 (92.973)\n",
      "Test: [110/157]\tTime 0.160 (0.164)\tLoss 0.2075 (0.3156)\tPrec@1 94.141 (93.039)\n",
      "Test: [120/157]\tTime 0.153 (0.164)\tLoss 0.2595 (0.3136)\tPrec@1 94.531 (93.082)\n",
      "Test: [130/157]\tTime 0.183 (0.164)\tLoss 0.1653 (0.3139)\tPrec@1 96.875 (93.103)\n",
      "Test: [140/157]\tTime 0.171 (0.164)\tLoss 0.4618 (0.3116)\tPrec@1 90.234 (93.127)\n",
      "Test: [150/157]\tTime 0.151 (0.163)\tLoss 0.3021 (0.3104)\tPrec@1 94.141 (93.165)\n",
      " * Prec@1 93.180\n",
      "Epoch: [125][0/118]\tTime 0.307 (0.307)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][10/118]\tTime 0.549 (0.519)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][20/118]\tTime 0.577 (0.539)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][30/118]\tTime 0.574 (0.544)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][40/118]\tTime 0.519 (0.546)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][50/118]\tTime 0.553 (0.548)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][60/118]\tTime 0.584 (0.550)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][70/118]\tTime 0.577 (0.552)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][80/118]\tTime 0.555 (0.552)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][90/118]\tTime 0.500 (0.552)\tLoss 0.0027 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][100/118]\tTime 0.572 (0.552)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [125][110/118]\tTime 0.511 (0.551)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.302 (0.302)\tLoss 0.3092 (0.3092)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.153 (0.172)\tLoss 0.2744 (0.3117)\tPrec@1 93.750 (93.466)\n",
      "Test: [20/157]\tTime 0.142 (0.165)\tLoss 0.3033 (0.3031)\tPrec@1 92.188 (93.471)\n",
      "Test: [30/157]\tTime 0.158 (0.163)\tLoss 0.2465 (0.2891)\tPrec@1 93.750 (93.649)\n",
      "Test: [40/157]\tTime 0.148 (0.162)\tLoss 0.3210 (0.3049)\tPrec@1 91.797 (93.417)\n",
      "Test: [50/157]\tTime 0.153 (0.162)\tLoss 0.2269 (0.3036)\tPrec@1 93.750 (93.313)\n",
      "Test: [60/157]\tTime 0.151 (0.160)\tLoss 0.2676 (0.3092)\tPrec@1 94.922 (93.251)\n",
      "Test: [70/157]\tTime 0.166 (0.160)\tLoss 0.5271 (0.3086)\tPrec@1 90.625 (93.293)\n",
      "Test: [80/157]\tTime 0.148 (0.160)\tLoss 0.3419 (0.3129)\tPrec@1 94.531 (93.215)\n",
      "Test: [90/157]\tTime 0.150 (0.159)\tLoss 0.3789 (0.3160)\tPrec@1 92.188 (93.196)\n",
      "Test: [100/157]\tTime 0.145 (0.159)\tLoss 0.3338 (0.3182)\tPrec@1 94.141 (93.151)\n",
      "Test: [110/157]\tTime 0.208 (0.160)\tLoss 0.2433 (0.3174)\tPrec@1 94.141 (93.169)\n",
      "Test: [120/157]\tTime 0.176 (0.160)\tLoss 0.3431 (0.3157)\tPrec@1 91.406 (93.185)\n",
      "Test: [130/157]\tTime 0.154 (0.160)\tLoss 0.3385 (0.3124)\tPrec@1 92.969 (93.237)\n",
      "Test: [140/157]\tTime 0.162 (0.160)\tLoss 0.3421 (0.3110)\tPrec@1 93.359 (93.268)\n",
      "Test: [150/157]\tTime 0.150 (0.160)\tLoss 0.3257 (0.3108)\tPrec@1 91.797 (93.248)\n",
      " * Prec@1 93.218\n",
      "Epoch: [126][0/118]\tTime 0.267 (0.267)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][10/118]\tTime 0.566 (0.521)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][20/118]\tTime 0.553 (0.544)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][30/118]\tTime 0.535 (0.546)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][40/118]\tTime 0.526 (0.553)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][50/118]\tTime 0.613 (0.557)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [126][60/118]\tTime 0.525 (0.555)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][70/118]\tTime 0.534 (0.555)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][80/118]\tTime 0.548 (0.555)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][90/118]\tTime 0.572 (0.555)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][100/118]\tTime 0.567 (0.554)\tLoss 0.0017 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [126][110/118]\tTime 0.553 (0.554)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.320 (0.320)\tLoss 0.4013 (0.4013)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.154 (0.168)\tLoss 0.3984 (0.3547)\tPrec@1 92.188 (92.543)\n",
      "Test: [20/157]\tTime 0.159 (0.161)\tLoss 0.3364 (0.3464)\tPrec@1 92.578 (92.504)\n",
      "Test: [30/157]\tTime 0.150 (0.159)\tLoss 0.2503 (0.3309)\tPrec@1 93.750 (92.679)\n",
      "Test: [40/157]\tTime 0.145 (0.159)\tLoss 0.3732 (0.3194)\tPrec@1 91.797 (92.826)\n",
      "Test: [50/157]\tTime 0.160 (0.159)\tLoss 0.3304 (0.3159)\tPrec@1 93.750 (92.930)\n",
      "Test: [60/157]\tTime 0.203 (0.161)\tLoss 0.1675 (0.3154)\tPrec@1 96.484 (92.911)\n",
      "Test: [70/157]\tTime 0.151 (0.161)\tLoss 0.4007 (0.3188)\tPrec@1 92.969 (92.919)\n",
      "Test: [80/157]\tTime 0.169 (0.160)\tLoss 0.3195 (0.3161)\tPrec@1 92.969 (93.012)\n",
      "Test: [90/157]\tTime 0.157 (0.160)\tLoss 0.2712 (0.3126)\tPrec@1 94.531 (93.072)\n",
      "Test: [100/157]\tTime 0.167 (0.160)\tLoss 0.2897 (0.3149)\tPrec@1 94.922 (93.085)\n",
      "Test: [110/157]\tTime 0.184 (0.161)\tLoss 0.3006 (0.3164)\tPrec@1 92.578 (93.036)\n",
      "Test: [120/157]\tTime 0.152 (0.160)\tLoss 0.4238 (0.3145)\tPrec@1 89.453 (93.075)\n",
      "Test: [130/157]\tTime 0.158 (0.161)\tLoss 0.2971 (0.3123)\tPrec@1 92.969 (93.127)\n",
      "Test: [140/157]\tTime 0.201 (0.161)\tLoss 0.2245 (0.3115)\tPrec@1 94.922 (93.102)\n",
      "Test: [150/157]\tTime 0.165 (0.161)\tLoss 0.2047 (0.3106)\tPrec@1 93.750 (93.134)\n",
      " * Prec@1 93.203\n",
      "Epoch: [127][0/118]\tTime 0.263 (0.263)\tLoss 0.0021 (0.0021)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][10/118]\tTime 0.539 (0.522)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][20/118]\tTime 0.534 (0.534)\tLoss 0.0031 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][30/118]\tTime 0.542 (0.546)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][40/118]\tTime 0.558 (0.552)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][50/118]\tTime 0.548 (0.555)\tLoss 0.0012 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][60/118]\tTime 0.583 (0.553)\tLoss 0.0014 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][70/118]\tTime 0.546 (0.554)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][80/118]\tTime 0.573 (0.555)\tLoss 0.0013 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][90/118]\tTime 0.542 (0.555)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][100/118]\tTime 0.578 (0.557)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [127][110/118]\tTime 0.545 (0.556)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.320 (0.320)\tLoss 0.2031 (0.2031)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.149 (0.175)\tLoss 0.4218 (0.3153)\tPrec@1 91.797 (93.075)\n",
      "Test: [20/157]\tTime 0.161 (0.168)\tLoss 0.5166 (0.3266)\tPrec@1 89.453 (92.876)\n",
      "Test: [30/157]\tTime 0.166 (0.166)\tLoss 0.3877 (0.3282)\tPrec@1 92.578 (92.755)\n",
      "Test: [40/157]\tTime 0.152 (0.163)\tLoss 0.3080 (0.3186)\tPrec@1 93.750 (92.978)\n",
      "Test: [50/157]\tTime 0.149 (0.162)\tLoss 0.2983 (0.3113)\tPrec@1 93.359 (93.076)\n",
      "Test: [60/157]\tTime 0.146 (0.161)\tLoss 0.3292 (0.3121)\tPrec@1 93.359 (93.142)\n",
      "Test: [70/157]\tTime 0.185 (0.161)\tLoss 0.4777 (0.3140)\tPrec@1 90.234 (93.150)\n",
      "Test: [80/157]\tTime 0.152 (0.160)\tLoss 0.2680 (0.3136)\tPrec@1 93.359 (93.075)\n",
      "Test: [90/157]\tTime 0.152 (0.161)\tLoss 0.3025 (0.3134)\tPrec@1 92.969 (93.046)\n",
      "Test: [100/157]\tTime 0.159 (0.160)\tLoss 0.5298 (0.3155)\tPrec@1 90.234 (93.011)\n",
      "Test: [110/157]\tTime 0.155 (0.161)\tLoss 0.2349 (0.3146)\tPrec@1 94.922 (93.036)\n",
      "Test: [120/157]\tTime 0.151 (0.161)\tLoss 0.2463 (0.3156)\tPrec@1 92.188 (93.040)\n",
      "Test: [130/157]\tTime 0.160 (0.161)\tLoss 0.1117 (0.3104)\tPrec@1 96.484 (93.145)\n",
      "Test: [140/157]\tTime 0.193 (0.161)\tLoss 0.3006 (0.3102)\tPrec@1 92.969 (93.141)\n",
      "Test: [150/157]\tTime 0.146 (0.161)\tLoss 0.2870 (0.3094)\tPrec@1 93.750 (93.150)\n",
      " * Prec@1 93.168\n",
      "Epoch: [128][0/118]\tTime 0.254 (0.254)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][10/118]\tTime 0.557 (0.524)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][20/118]\tTime 0.541 (0.541)\tLoss 0.0024 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][30/118]\tTime 0.517 (0.546)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][40/118]\tTime 0.518 (0.549)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][50/118]\tTime 0.561 (0.550)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][60/118]\tTime 0.620 (0.551)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][70/118]\tTime 0.600 (0.553)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][80/118]\tTime 0.587 (0.558)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][90/118]\tTime 0.516 (0.557)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][100/118]\tTime 0.547 (0.556)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [128][110/118]\tTime 0.536 (0.557)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.328 (0.328)\tLoss 0.1759 (0.1759)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.183 (0.193)\tLoss 0.4317 (0.3406)\tPrec@1 91.016 (92.614)\n",
      "Test: [20/157]\tTime 0.152 (0.178)\tLoss 0.3018 (0.3141)\tPrec@1 92.578 (93.062)\n",
      "Test: [30/157]\tTime 0.157 (0.173)\tLoss 0.3770 (0.3114)\tPrec@1 90.625 (93.145)\n",
      "Test: [40/157]\tTime 0.148 (0.169)\tLoss 0.3673 (0.3181)\tPrec@1 92.188 (92.988)\n",
      "Test: [50/157]\tTime 0.145 (0.166)\tLoss 0.2925 (0.3139)\tPrec@1 94.531 (93.091)\n",
      "Test: [60/157]\tTime 0.150 (0.165)\tLoss 0.2806 (0.3175)\tPrec@1 94.531 (93.007)\n",
      "Test: [70/157]\tTime 0.165 (0.164)\tLoss 0.3559 (0.3144)\tPrec@1 93.750 (93.095)\n",
      "Test: [80/157]\tTime 0.159 (0.163)\tLoss 0.2465 (0.3139)\tPrec@1 94.141 (93.070)\n",
      "Test: [90/157]\tTime 0.158 (0.163)\tLoss 0.2938 (0.3163)\tPrec@1 94.141 (93.076)\n",
      "Test: [100/157]\tTime 0.156 (0.163)\tLoss 0.3749 (0.3161)\tPrec@1 91.016 (93.096)\n",
      "Test: [110/157]\tTime 0.154 (0.163)\tLoss 0.4375 (0.3153)\tPrec@1 91.016 (93.148)\n",
      "Test: [120/157]\tTime 0.162 (0.162)\tLoss 0.2954 (0.3163)\tPrec@1 94.141 (93.172)\n",
      "Test: [130/157]\tTime 0.158 (0.162)\tLoss 0.3242 (0.3142)\tPrec@1 92.969 (93.195)\n",
      "Test: [140/157]\tTime 0.158 (0.162)\tLoss 0.3430 (0.3144)\tPrec@1 91.797 (93.190)\n",
      "Test: [150/157]\tTime 0.161 (0.161)\tLoss 0.2747 (0.3144)\tPrec@1 93.359 (93.194)\n",
      " * Prec@1 93.200\n",
      "Epoch: [129][0/118]\tTime 0.300 (0.300)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][10/118]\tTime 0.559 (0.524)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][20/118]\tTime 0.561 (0.535)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][30/118]\tTime 0.517 (0.539)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][40/118]\tTime 0.548 (0.545)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][50/118]\tTime 0.540 (0.547)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][60/118]\tTime 0.514 (0.548)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][70/118]\tTime 0.528 (0.546)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][80/118]\tTime 0.592 (0.547)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][90/118]\tTime 0.544 (0.548)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][100/118]\tTime 0.585 (0.551)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [129][110/118]\tTime 0.554 (0.552)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.301 (0.301)\tLoss 0.4321 (0.4321)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.198 (0.167)\tLoss 0.2915 (0.3213)\tPrec@1 93.359 (92.898)\n",
      "Test: [20/157]\tTime 0.149 (0.162)\tLoss 0.3380 (0.2997)\tPrec@1 92.578 (93.229)\n",
      "Test: [30/157]\tTime 0.187 (0.166)\tLoss 0.4332 (0.3025)\tPrec@1 91.406 (93.296)\n",
      "Test: [40/157]\tTime 0.149 (0.166)\tLoss 0.3747 (0.3102)\tPrec@1 93.750 (93.188)\n",
      "Test: [50/157]\tTime 0.145 (0.163)\tLoss 0.1737 (0.3068)\tPrec@1 96.484 (93.199)\n",
      "Test: [60/157]\tTime 0.159 (0.163)\tLoss 0.2354 (0.3061)\tPrec@1 94.922 (93.212)\n",
      "Test: [70/157]\tTime 0.196 (0.163)\tLoss 0.4239 (0.3127)\tPrec@1 91.406 (93.095)\n",
      "Test: [80/157]\tTime 0.189 (0.164)\tLoss 0.3075 (0.3146)\tPrec@1 93.750 (93.118)\n",
      "Test: [90/157]\tTime 0.151 (0.163)\tLoss 0.2781 (0.3164)\tPrec@1 95.312 (93.149)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.151 (0.163)\tLoss 0.3053 (0.3141)\tPrec@1 94.141 (93.201)\n",
      "Test: [110/157]\tTime 0.171 (0.162)\tLoss 0.3512 (0.3128)\tPrec@1 92.188 (93.219)\n",
      "Test: [120/157]\tTime 0.161 (0.162)\tLoss 0.2027 (0.3144)\tPrec@1 96.484 (93.185)\n",
      "Test: [130/157]\tTime 0.144 (0.162)\tLoss 0.2832 (0.3162)\tPrec@1 94.531 (93.192)\n",
      "Test: [140/157]\tTime 0.151 (0.161)\tLoss 0.4667 (0.3180)\tPrec@1 91.797 (93.188)\n",
      "Test: [150/157]\tTime 0.147 (0.161)\tLoss 0.2928 (0.3160)\tPrec@1 93.750 (93.212)\n",
      " * Prec@1 93.183\n",
      "Epoch: [130][0/118]\tTime 0.254 (0.254)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][10/118]\tTime 0.509 (0.520)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][20/118]\tTime 0.607 (0.546)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][30/118]\tTime 0.545 (0.546)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][40/118]\tTime 0.579 (0.546)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][50/118]\tTime 0.549 (0.546)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][60/118]\tTime 0.523 (0.550)\tLoss 0.0021 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][70/118]\tTime 0.560 (0.550)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][80/118]\tTime 0.547 (0.551)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][90/118]\tTime 0.525 (0.552)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][100/118]\tTime 0.526 (0.554)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [130][110/118]\tTime 0.529 (0.552)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.319 (0.319)\tLoss 0.2893 (0.2893)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.151 (0.168)\tLoss 0.2420 (0.2758)\tPrec@1 94.531 (93.786)\n",
      "Test: [20/157]\tTime 0.152 (0.166)\tLoss 0.2996 (0.2908)\tPrec@1 94.922 (93.694)\n",
      "Test: [30/157]\tTime 0.153 (0.163)\tLoss 0.1814 (0.2965)\tPrec@1 95.703 (93.586)\n",
      "Test: [40/157]\tTime 0.167 (0.162)\tLoss 0.3531 (0.3111)\tPrec@1 92.188 (93.321)\n",
      "Test: [50/157]\tTime 0.149 (0.161)\tLoss 0.3657 (0.3151)\tPrec@1 92.969 (93.275)\n",
      "Test: [60/157]\tTime 0.159 (0.162)\tLoss 0.3454 (0.3146)\tPrec@1 91.016 (93.283)\n",
      "Test: [70/157]\tTime 0.150 (0.161)\tLoss 0.3286 (0.3189)\tPrec@1 93.359 (93.172)\n",
      "Test: [80/157]\tTime 0.152 (0.161)\tLoss 0.2637 (0.3189)\tPrec@1 92.969 (93.157)\n",
      "Test: [90/157]\tTime 0.148 (0.161)\tLoss 0.3726 (0.3187)\tPrec@1 92.188 (93.132)\n",
      "Test: [100/157]\tTime 0.193 (0.160)\tLoss 0.2707 (0.3158)\tPrec@1 93.750 (93.154)\n",
      "Test: [110/157]\tTime 0.150 (0.161)\tLoss 0.2732 (0.3137)\tPrec@1 92.578 (93.145)\n",
      "Test: [120/157]\tTime 0.185 (0.160)\tLoss 0.2721 (0.3167)\tPrec@1 93.359 (93.095)\n",
      "Test: [130/157]\tTime 0.164 (0.161)\tLoss 0.3915 (0.3161)\tPrec@1 91.797 (93.097)\n",
      "Test: [140/157]\tTime 0.152 (0.160)\tLoss 0.3578 (0.3137)\tPrec@1 92.578 (93.179)\n",
      "Test: [150/157]\tTime 0.153 (0.160)\tLoss 0.4332 (0.3135)\tPrec@1 91.797 (93.204)\n",
      " * Prec@1 93.190\n",
      "Epoch: [131][0/118]\tTime 0.318 (0.318)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][10/118]\tTime 0.544 (0.633)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][20/118]\tTime 0.524 (0.586)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][30/118]\tTime 0.557 (0.578)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][40/118]\tTime 0.556 (0.572)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][50/118]\tTime 0.538 (0.572)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][60/118]\tTime 0.513 (0.567)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][70/118]\tTime 0.517 (0.564)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][80/118]\tTime 0.546 (0.563)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][90/118]\tTime 0.584 (0.562)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][100/118]\tTime 0.566 (0.563)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [131][110/118]\tTime 0.588 (0.563)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.296 (0.296)\tLoss 0.1679 (0.1679)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.158 (0.174)\tLoss 0.2416 (0.3355)\tPrec@1 94.922 (92.827)\n",
      "Test: [20/157]\tTime 0.203 (0.174)\tLoss 0.2732 (0.3244)\tPrec@1 94.531 (93.192)\n",
      "Test: [30/157]\tTime 0.165 (0.171)\tLoss 0.3029 (0.3220)\tPrec@1 93.359 (93.196)\n",
      "Test: [40/157]\tTime 0.155 (0.170)\tLoss 0.4247 (0.3205)\tPrec@1 91.016 (93.121)\n",
      "Test: [50/157]\tTime 0.153 (0.167)\tLoss 0.2686 (0.3102)\tPrec@1 93.359 (93.290)\n",
      "Test: [60/157]\tTime 0.152 (0.167)\tLoss 0.2473 (0.3190)\tPrec@1 95.703 (93.154)\n",
      "Test: [70/157]\tTime 0.158 (0.165)\tLoss 0.3929 (0.3217)\tPrec@1 90.625 (93.068)\n",
      "Test: [80/157]\tTime 0.153 (0.164)\tLoss 0.2237 (0.3214)\tPrec@1 94.531 (93.075)\n",
      "Test: [90/157]\tTime 0.145 (0.163)\tLoss 0.3791 (0.3175)\tPrec@1 92.969 (93.205)\n",
      "Test: [100/157]\tTime 0.155 (0.163)\tLoss 0.4739 (0.3209)\tPrec@1 89.844 (93.135)\n",
      "Test: [110/157]\tTime 0.160 (0.162)\tLoss 0.4280 (0.3217)\tPrec@1 90.625 (93.092)\n",
      "Test: [120/157]\tTime 0.158 (0.161)\tLoss 0.3434 (0.3221)\tPrec@1 92.188 (93.066)\n",
      "Test: [130/157]\tTime 0.152 (0.161)\tLoss 0.3595 (0.3221)\tPrec@1 92.188 (93.037)\n",
      "Test: [140/157]\tTime 0.203 (0.161)\tLoss 0.2512 (0.3195)\tPrec@1 94.141 (93.102)\n",
      "Test: [150/157]\tTime 0.176 (0.161)\tLoss 0.2501 (0.3180)\tPrec@1 94.141 (93.111)\n",
      " * Prec@1 93.120\n",
      "Epoch: [132][0/118]\tTime 0.274 (0.274)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][10/118]\tTime 0.525 (0.515)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][20/118]\tTime 0.575 (0.542)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][30/118]\tTime 0.534 (0.548)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][40/118]\tTime 0.559 (0.548)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][50/118]\tTime 0.532 (0.547)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][60/118]\tTime 0.586 (0.549)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][70/118]\tTime 0.599 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][80/118]\tTime 0.522 (0.553)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][90/118]\tTime 0.533 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][100/118]\tTime 0.559 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [132][110/118]\tTime 0.562 (0.553)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.303 (0.303)\tLoss 0.2298 (0.2298)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.149 (0.167)\tLoss 0.3049 (0.2948)\tPrec@1 91.797 (93.430)\n",
      "Test: [20/157]\tTime 0.156 (0.160)\tLoss 0.2828 (0.3204)\tPrec@1 93.359 (93.155)\n",
      "Test: [30/157]\tTime 0.154 (0.160)\tLoss 0.2110 (0.3204)\tPrec@1 95.703 (93.007)\n",
      "Test: [40/157]\tTime 0.166 (0.159)\tLoss 0.3135 (0.3070)\tPrec@1 92.969 (93.236)\n",
      "Test: [50/157]\tTime 0.149 (0.158)\tLoss 0.3005 (0.3020)\tPrec@1 92.969 (93.344)\n",
      "Test: [60/157]\tTime 0.163 (0.159)\tLoss 0.2667 (0.3023)\tPrec@1 93.750 (93.353)\n",
      "Test: [70/157]\tTime 0.150 (0.159)\tLoss 0.2887 (0.3059)\tPrec@1 92.578 (93.354)\n",
      "Test: [80/157]\tTime 0.167 (0.159)\tLoss 0.2662 (0.3126)\tPrec@1 93.750 (93.263)\n",
      "Test: [90/157]\tTime 0.179 (0.160)\tLoss 0.3025 (0.3121)\tPrec@1 93.750 (93.321)\n",
      "Test: [100/157]\tTime 0.177 (0.160)\tLoss 0.2742 (0.3148)\tPrec@1 93.359 (93.267)\n",
      "Test: [110/157]\tTime 0.162 (0.160)\tLoss 0.3565 (0.3129)\tPrec@1 91.797 (93.289)\n",
      "Test: [120/157]\tTime 0.152 (0.160)\tLoss 0.4187 (0.3135)\tPrec@1 91.797 (93.266)\n",
      "Test: [130/157]\tTime 0.166 (0.160)\tLoss 0.2722 (0.3135)\tPrec@1 93.359 (93.219)\n",
      "Test: [140/157]\tTime 0.149 (0.160)\tLoss 0.2712 (0.3138)\tPrec@1 93.750 (93.218)\n",
      "Test: [150/157]\tTime 0.184 (0.160)\tLoss 0.3786 (0.3120)\tPrec@1 93.359 (93.261)\n",
      " * Prec@1 93.225\n",
      "Epoch: [133][0/118]\tTime 0.269 (0.269)\tLoss 0.0017 (0.0017)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][10/118]\tTime 0.513 (0.520)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][20/118]\tTime 0.647 (0.561)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][30/118]\tTime 0.542 (0.558)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][40/118]\tTime 0.576 (0.558)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][50/118]\tTime 0.609 (0.562)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][60/118]\tTime 0.513 (0.560)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][70/118]\tTime 0.510 (0.558)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][80/118]\tTime 0.553 (0.556)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][90/118]\tTime 0.582 (0.557)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [133][100/118]\tTime 0.587 (0.557)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [133][110/118]\tTime 0.530 (0.557)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.330 (0.330)\tLoss 0.4136 (0.4136)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.172 (0.188)\tLoss 0.3153 (0.3204)\tPrec@1 92.578 (93.040)\n",
      "Test: [20/157]\tTime 0.161 (0.172)\tLoss 0.3394 (0.3206)\tPrec@1 92.578 (92.950)\n",
      "Test: [30/157]\tTime 0.154 (0.168)\tLoss 0.4057 (0.3214)\tPrec@1 89.844 (92.944)\n",
      "Test: [40/157]\tTime 0.160 (0.167)\tLoss 0.3210 (0.3261)\tPrec@1 93.359 (92.997)\n",
      "Test: [50/157]\tTime 0.148 (0.166)\tLoss 0.3331 (0.3282)\tPrec@1 93.750 (93.030)\n",
      "Test: [60/157]\tTime 0.149 (0.164)\tLoss 0.2376 (0.3222)\tPrec@1 94.531 (93.161)\n",
      "Test: [70/157]\tTime 0.184 (0.164)\tLoss 0.2396 (0.3215)\tPrec@1 95.312 (93.211)\n",
      "Test: [80/157]\tTime 0.153 (0.164)\tLoss 0.3422 (0.3204)\tPrec@1 92.578 (93.210)\n",
      "Test: [90/157]\tTime 0.172 (0.164)\tLoss 0.3559 (0.3192)\tPrec@1 93.750 (93.231)\n",
      "Test: [100/157]\tTime 0.149 (0.164)\tLoss 0.4032 (0.3158)\tPrec@1 91.406 (93.297)\n",
      "Test: [110/157]\tTime 0.148 (0.163)\tLoss 0.2479 (0.3157)\tPrec@1 92.969 (93.289)\n",
      "Test: [120/157]\tTime 0.188 (0.162)\tLoss 0.4394 (0.3158)\tPrec@1 89.453 (93.256)\n",
      "Test: [130/157]\tTime 0.152 (0.162)\tLoss 0.3607 (0.3181)\tPrec@1 92.578 (93.201)\n",
      "Test: [140/157]\tTime 0.154 (0.162)\tLoss 0.3729 (0.3208)\tPrec@1 92.188 (93.157)\n",
      "Test: [150/157]\tTime 0.164 (0.162)\tLoss 0.2527 (0.3180)\tPrec@1 94.531 (93.183)\n",
      " * Prec@1 93.192\n",
      "Epoch: [134][0/118]\tTime 0.321 (0.321)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][10/118]\tTime 0.554 (0.524)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][20/118]\tTime 0.550 (0.534)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][30/118]\tTime 0.514 (0.537)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][40/118]\tTime 0.544 (0.543)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][50/118]\tTime 0.544 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][60/118]\tTime 0.569 (0.553)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][70/118]\tTime 0.530 (0.553)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][80/118]\tTime 0.566 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][90/118]\tTime 0.585 (0.554)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][100/118]\tTime 0.560 (0.555)\tLoss 0.0022 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [134][110/118]\tTime 0.517 (0.554)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.313 (0.313)\tLoss 0.2169 (0.2169)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.150 (0.173)\tLoss 0.2842 (0.3353)\tPrec@1 93.750 (93.111)\n",
      "Test: [20/157]\tTime 0.149 (0.171)\tLoss 0.3324 (0.3332)\tPrec@1 93.359 (93.304)\n",
      "Test: [30/157]\tTime 0.158 (0.166)\tLoss 0.3249 (0.3232)\tPrec@1 92.188 (93.233)\n",
      "Test: [40/157]\tTime 0.169 (0.164)\tLoss 0.3314 (0.3259)\tPrec@1 94.141 (93.245)\n",
      "Test: [50/157]\tTime 0.152 (0.162)\tLoss 0.3117 (0.3194)\tPrec@1 94.141 (93.290)\n",
      "Test: [60/157]\tTime 0.147 (0.161)\tLoss 0.4542 (0.3209)\tPrec@1 90.625 (93.270)\n",
      "Test: [70/157]\tTime 0.158 (0.162)\tLoss 0.2735 (0.3183)\tPrec@1 92.969 (93.233)\n",
      "Test: [80/157]\tTime 0.149 (0.161)\tLoss 0.2846 (0.3206)\tPrec@1 93.359 (93.166)\n",
      "Test: [90/157]\tTime 0.183 (0.160)\tLoss 0.2174 (0.3171)\tPrec@1 93.750 (93.209)\n",
      "Test: [100/157]\tTime 0.156 (0.161)\tLoss 0.3110 (0.3154)\tPrec@1 92.578 (93.259)\n",
      "Test: [110/157]\tTime 0.187 (0.161)\tLoss 0.3176 (0.3139)\tPrec@1 93.750 (93.278)\n",
      "Test: [120/157]\tTime 0.151 (0.161)\tLoss 0.2532 (0.3128)\tPrec@1 92.578 (93.279)\n",
      "Test: [130/157]\tTime 0.174 (0.161)\tLoss 0.4375 (0.3152)\tPrec@1 91.406 (93.246)\n",
      "Test: [140/157]\tTime 0.158 (0.161)\tLoss 0.3097 (0.3205)\tPrec@1 93.359 (93.182)\n",
      "Test: [150/157]\tTime 0.155 (0.160)\tLoss 0.2598 (0.3203)\tPrec@1 94.141 (93.176)\n",
      " * Prec@1 93.213\n",
      "Epoch: [135][0/118]\tTime 0.261 (0.261)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][10/118]\tTime 0.587 (0.520)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][20/118]\tTime 0.584 (0.558)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][30/118]\tTime 0.639 (0.556)\tLoss 0.0020 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][40/118]\tTime 0.525 (0.559)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][50/118]\tTime 0.550 (0.559)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][60/118]\tTime 0.569 (0.557)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][70/118]\tTime 0.544 (0.557)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][80/118]\tTime 0.607 (0.558)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][90/118]\tTime 0.555 (0.558)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][100/118]\tTime 0.565 (0.560)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [135][110/118]\tTime 0.543 (0.560)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.319 (0.319)\tLoss 0.2572 (0.2572)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.160 (0.170)\tLoss 0.3876 (0.3375)\tPrec@1 92.578 (93.111)\n",
      "Test: [20/157]\tTime 0.196 (0.169)\tLoss 0.4645 (0.3370)\tPrec@1 91.016 (93.099)\n",
      "Test: [30/157]\tTime 0.152 (0.167)\tLoss 0.4022 (0.3379)\tPrec@1 93.359 (93.007)\n",
      "Test: [40/157]\tTime 0.148 (0.165)\tLoss 0.3183 (0.3333)\tPrec@1 92.969 (93.074)\n",
      "Test: [50/157]\tTime 0.157 (0.165)\tLoss 0.4273 (0.3399)\tPrec@1 91.406 (92.938)\n",
      "Test: [60/157]\tTime 0.148 (0.164)\tLoss 0.3305 (0.3358)\tPrec@1 92.969 (92.950)\n",
      "Test: [70/157]\tTime 0.151 (0.163)\tLoss 0.4414 (0.3348)\tPrec@1 90.234 (92.947)\n",
      "Test: [80/157]\tTime 0.161 (0.164)\tLoss 0.2858 (0.3302)\tPrec@1 93.750 (93.003)\n",
      "Test: [90/157]\tTime 0.147 (0.162)\tLoss 0.4093 (0.3346)\tPrec@1 91.797 (92.960)\n",
      "Test: [100/157]\tTime 0.159 (0.162)\tLoss 0.3479 (0.3308)\tPrec@1 91.797 (93.050)\n",
      "Test: [110/157]\tTime 0.186 (0.163)\tLoss 0.3934 (0.3304)\tPrec@1 92.188 (93.081)\n",
      "Test: [120/157]\tTime 0.176 (0.162)\tLoss 0.2286 (0.3289)\tPrec@1 93.750 (93.079)\n",
      "Test: [130/157]\tTime 0.176 (0.161)\tLoss 0.2196 (0.3270)\tPrec@1 94.922 (93.109)\n",
      "Test: [140/157]\tTime 0.145 (0.161)\tLoss 0.2117 (0.3257)\tPrec@1 95.703 (93.149)\n",
      "Test: [150/157]\tTime 0.152 (0.161)\tLoss 0.3879 (0.3229)\tPrec@1 93.359 (93.199)\n",
      " * Prec@1 93.200\n",
      "Epoch: [136][0/118]\tTime 0.297 (0.297)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][10/118]\tTime 0.560 (0.529)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][20/118]\tTime 0.547 (0.538)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][30/118]\tTime 0.543 (0.542)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][40/118]\tTime 0.539 (0.546)\tLoss 0.0020 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][50/118]\tTime 0.576 (0.550)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][60/118]\tTime 0.527 (0.551)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][70/118]\tTime 0.592 (0.554)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][80/118]\tTime 0.530 (0.554)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][90/118]\tTime 0.597 (0.554)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][100/118]\tTime 0.547 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [136][110/118]\tTime 0.524 (0.555)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.307 (0.307)\tLoss 0.3038 (0.3038)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.179 (0.166)\tLoss 0.2768 (0.2964)\tPrec@1 93.750 (93.430)\n",
      "Test: [20/157]\tTime 0.166 (0.163)\tLoss 0.4662 (0.3023)\tPrec@1 91.406 (93.527)\n",
      "Test: [30/157]\tTime 0.178 (0.161)\tLoss 0.2600 (0.3127)\tPrec@1 94.531 (93.296)\n",
      "Test: [40/157]\tTime 0.201 (0.162)\tLoss 0.3948 (0.3101)\tPrec@1 92.188 (93.321)\n",
      "Test: [50/157]\tTime 0.154 (0.162)\tLoss 0.3984 (0.3163)\tPrec@1 92.578 (93.267)\n",
      "Test: [60/157]\tTime 0.195 (0.163)\tLoss 0.4222 (0.3201)\tPrec@1 91.406 (93.199)\n",
      "Test: [70/157]\tTime 0.153 (0.163)\tLoss 0.2938 (0.3180)\tPrec@1 93.750 (93.238)\n",
      "Test: [80/157]\tTime 0.157 (0.163)\tLoss 0.1700 (0.3174)\tPrec@1 96.094 (93.282)\n",
      "Test: [90/157]\tTime 0.153 (0.162)\tLoss 0.3633 (0.3195)\tPrec@1 92.188 (93.226)\n",
      "Test: [100/157]\tTime 0.152 (0.162)\tLoss 0.3148 (0.3159)\tPrec@1 94.922 (93.309)\n",
      "Test: [110/157]\tTime 0.157 (0.162)\tLoss 0.2883 (0.3161)\tPrec@1 92.969 (93.303)\n",
      "Test: [120/157]\tTime 0.158 (0.162)\tLoss 0.3309 (0.3155)\tPrec@1 92.969 (93.269)\n",
      "Test: [130/157]\tTime 0.156 (0.161)\tLoss 0.3428 (0.3173)\tPrec@1 93.359 (93.252)\n",
      "Test: [140/157]\tTime 0.203 (0.161)\tLoss 0.1862 (0.3185)\tPrec@1 94.922 (93.229)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.202 (0.162)\tLoss 0.2854 (0.3186)\tPrec@1 93.750 (93.227)\n",
      " * Prec@1 93.210\n",
      "Epoch: [137][0/118]\tTime 0.278 (0.278)\tLoss 0.0023 (0.0023)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][10/118]\tTime 0.512 (0.517)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][20/118]\tTime 0.544 (0.530)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][30/118]\tTime 0.517 (0.537)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][40/118]\tTime 0.524 (0.539)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][50/118]\tTime 0.533 (0.542)\tLoss 0.0020 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][60/118]\tTime 0.531 (0.554)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][70/118]\tTime 0.576 (0.554)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][80/118]\tTime 0.532 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][90/118]\tTime 0.537 (0.554)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][100/118]\tTime 0.571 (0.556)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [137][110/118]\tTime 0.543 (0.559)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.270 (0.270)\tLoss 0.3273 (0.3273)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.151 (0.158)\tLoss 0.2933 (0.3371)\tPrec@1 92.578 (92.969)\n",
      "Test: [20/157]\tTime 0.175 (0.160)\tLoss 0.3776 (0.3128)\tPrec@1 92.969 (93.285)\n",
      "Test: [30/157]\tTime 0.147 (0.158)\tLoss 0.3961 (0.3215)\tPrec@1 92.188 (93.221)\n",
      "Test: [40/157]\tTime 0.168 (0.158)\tLoss 0.3352 (0.3273)\tPrec@1 93.359 (93.074)\n",
      "Test: [50/157]\tTime 0.147 (0.157)\tLoss 0.1794 (0.3246)\tPrec@1 95.312 (93.061)\n",
      "Test: [60/157]\tTime 0.181 (0.157)\tLoss 0.2843 (0.3297)\tPrec@1 93.359 (93.071)\n",
      "Test: [70/157]\tTime 0.169 (0.158)\tLoss 0.2222 (0.3279)\tPrec@1 95.312 (93.090)\n",
      "Test: [80/157]\tTime 0.171 (0.157)\tLoss 0.2485 (0.3292)\tPrec@1 93.750 (93.041)\n",
      "Test: [90/157]\tTime 0.146 (0.158)\tLoss 0.4158 (0.3274)\tPrec@1 92.188 (93.072)\n",
      "Test: [100/157]\tTime 0.176 (0.158)\tLoss 0.4926 (0.3328)\tPrec@1 90.625 (92.976)\n",
      "Test: [110/157]\tTime 0.155 (0.158)\tLoss 0.2029 (0.3320)\tPrec@1 94.531 (93.004)\n",
      "Test: [120/157]\tTime 0.173 (0.158)\tLoss 0.2476 (0.3308)\tPrec@1 93.750 (93.014)\n",
      "Test: [130/157]\tTime 0.191 (0.158)\tLoss 0.2397 (0.3267)\tPrec@1 94.531 (93.100)\n",
      "Test: [140/157]\tTime 0.166 (0.158)\tLoss 0.3218 (0.3249)\tPrec@1 93.750 (93.135)\n",
      "Test: [150/157]\tTime 0.150 (0.159)\tLoss 0.3128 (0.3213)\tPrec@1 94.922 (93.191)\n",
      " * Prec@1 93.175\n",
      "Epoch: [138][0/118]\tTime 0.271 (0.271)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][10/118]\tTime 0.544 (0.539)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][20/118]\tTime 0.537 (0.544)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][30/118]\tTime 0.575 (0.548)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][40/118]\tTime 0.532 (0.549)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][50/118]\tTime 0.576 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][60/118]\tTime 0.573 (0.555)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][70/118]\tTime 0.536 (0.555)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][80/118]\tTime 0.540 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][90/118]\tTime 0.522 (0.556)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][100/118]\tTime 0.680 (0.558)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [138][110/118]\tTime 0.548 (0.560)\tLoss 0.0026 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.314 (0.314)\tLoss 0.4025 (0.4025)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.147 (0.167)\tLoss 0.2273 (0.2962)\tPrec@1 96.484 (94.141)\n",
      "Test: [20/157]\tTime 0.152 (0.161)\tLoss 0.4923 (0.3094)\tPrec@1 90.625 (93.564)\n",
      "Test: [30/157]\tTime 0.148 (0.160)\tLoss 0.2665 (0.3178)\tPrec@1 94.141 (93.259)\n",
      "Test: [40/157]\tTime 0.152 (0.158)\tLoss 0.3188 (0.3225)\tPrec@1 93.750 (93.045)\n",
      "Test: [50/157]\tTime 0.164 (0.157)\tLoss 0.2933 (0.3175)\tPrec@1 93.750 (93.099)\n",
      "Test: [60/157]\tTime 0.157 (0.157)\tLoss 0.2820 (0.3156)\tPrec@1 94.141 (93.212)\n",
      "Test: [70/157]\tTime 0.163 (0.158)\tLoss 0.3108 (0.3158)\tPrec@1 93.359 (93.249)\n",
      "Test: [80/157]\tTime 0.167 (0.159)\tLoss 0.3779 (0.3165)\tPrec@1 92.578 (93.268)\n",
      "Test: [90/157]\tTime 0.182 (0.160)\tLoss 0.4212 (0.3204)\tPrec@1 91.797 (93.162)\n",
      "Test: [100/157]\tTime 0.149 (0.159)\tLoss 0.2055 (0.3194)\tPrec@1 93.359 (93.139)\n",
      "Test: [110/157]\tTime 0.170 (0.159)\tLoss 0.3582 (0.3197)\tPrec@1 91.016 (93.152)\n",
      "Test: [120/157]\tTime 0.154 (0.159)\tLoss 0.2873 (0.3213)\tPrec@1 94.531 (93.133)\n",
      "Test: [130/157]\tTime 0.193 (0.159)\tLoss 0.3511 (0.3218)\tPrec@1 92.188 (93.130)\n",
      "Test: [140/157]\tTime 0.153 (0.159)\tLoss 0.4698 (0.3218)\tPrec@1 89.844 (93.143)\n",
      "Test: [150/157]\tTime 0.152 (0.158)\tLoss 0.2897 (0.3200)\tPrec@1 94.531 (93.173)\n",
      " * Prec@1 93.145\n",
      "Epoch: [139][0/118]\tTime 0.262 (0.262)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][10/118]\tTime 0.531 (0.526)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][20/118]\tTime 0.583 (0.538)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][30/118]\tTime 0.608 (0.549)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][40/118]\tTime 0.528 (0.549)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][50/118]\tTime 0.598 (0.553)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][60/118]\tTime 0.533 (0.553)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][70/118]\tTime 0.565 (0.553)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][80/118]\tTime 0.566 (0.555)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][90/118]\tTime 0.528 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][100/118]\tTime 0.516 (0.554)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [139][110/118]\tTime 0.538 (0.555)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.303 (0.303)\tLoss 0.3277 (0.3277)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.169 (0.176)\tLoss 0.3537 (0.3560)\tPrec@1 92.188 (92.578)\n",
      "Test: [20/157]\tTime 0.150 (0.169)\tLoss 0.3612 (0.3299)\tPrec@1 92.188 (93.043)\n",
      "Test: [30/157]\tTime 0.163 (0.169)\tLoss 0.3362 (0.3284)\tPrec@1 92.969 (93.120)\n",
      "Test: [40/157]\tTime 0.142 (0.167)\tLoss 0.2886 (0.3389)\tPrec@1 93.359 (92.864)\n",
      "Test: [50/157]\tTime 0.226 (0.167)\tLoss 0.3971 (0.3398)\tPrec@1 92.578 (92.907)\n",
      "Test: [60/157]\tTime 0.150 (0.166)\tLoss 0.3727 (0.3381)\tPrec@1 92.188 (92.924)\n",
      "Test: [70/157]\tTime 0.147 (0.165)\tLoss 0.3847 (0.3306)\tPrec@1 93.359 (93.046)\n",
      "Test: [80/157]\tTime 0.168 (0.164)\tLoss 0.3432 (0.3284)\tPrec@1 93.750 (93.056)\n",
      "Test: [90/157]\tTime 0.155 (0.164)\tLoss 0.3479 (0.3244)\tPrec@1 93.750 (93.110)\n",
      "Test: [100/157]\tTime 0.153 (0.163)\tLoss 0.2998 (0.3261)\tPrec@1 92.969 (93.077)\n",
      "Test: [110/157]\tTime 0.156 (0.163)\tLoss 0.2442 (0.3206)\tPrec@1 95.312 (93.162)\n",
      "Test: [120/157]\tTime 0.159 (0.164)\tLoss 0.2284 (0.3198)\tPrec@1 94.922 (93.179)\n",
      "Test: [130/157]\tTime 0.201 (0.165)\tLoss 0.4525 (0.3225)\tPrec@1 88.672 (93.139)\n",
      "Test: [140/157]\tTime 0.171 (0.164)\tLoss 0.3949 (0.3206)\tPrec@1 91.797 (93.152)\n",
      "Test: [150/157]\tTime 0.144 (0.164)\tLoss 0.3938 (0.3209)\tPrec@1 91.797 (93.145)\n",
      " * Prec@1 93.145\n",
      "Epoch: [140][0/118]\tTime 0.274 (0.274)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][10/118]\tTime 0.535 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][20/118]\tTime 0.544 (0.538)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][30/118]\tTime 0.554 (0.547)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][40/118]\tTime 0.567 (0.546)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][50/118]\tTime 0.518 (0.545)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][60/118]\tTime 0.551 (0.550)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][70/118]\tTime 0.550 (0.552)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][80/118]\tTime 0.597 (0.556)\tLoss 0.0028 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][90/118]\tTime 0.579 (0.555)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][100/118]\tTime 0.557 (0.555)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [140][110/118]\tTime 0.554 (0.557)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.318 (0.318)\tLoss 0.3007 (0.3007)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.152 (0.169)\tLoss 0.1796 (0.3311)\tPrec@1 95.312 (93.111)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [20/157]\tTime 0.148 (0.165)\tLoss 0.3853 (0.3064)\tPrec@1 91.406 (93.545)\n",
      "Test: [30/157]\tTime 0.152 (0.161)\tLoss 0.2975 (0.3163)\tPrec@1 93.359 (93.347)\n",
      "Test: [40/157]\tTime 0.157 (0.160)\tLoss 0.4375 (0.3152)\tPrec@1 92.578 (93.369)\n",
      "Test: [50/157]\tTime 0.149 (0.159)\tLoss 0.3439 (0.3244)\tPrec@1 92.578 (93.214)\n",
      "Test: [60/157]\tTime 0.149 (0.158)\tLoss 0.2592 (0.3256)\tPrec@1 92.969 (93.193)\n",
      "Test: [70/157]\tTime 0.158 (0.157)\tLoss 0.3289 (0.3223)\tPrec@1 92.969 (93.266)\n",
      "Test: [80/157]\tTime 0.205 (0.157)\tLoss 0.4538 (0.3241)\tPrec@1 91.797 (93.258)\n",
      "Test: [90/157]\tTime 0.151 (0.157)\tLoss 0.3144 (0.3226)\tPrec@1 93.359 (93.252)\n",
      "Test: [100/157]\tTime 0.149 (0.157)\tLoss 0.2407 (0.3268)\tPrec@1 94.531 (93.151)\n",
      "Test: [110/157]\tTime 0.151 (0.157)\tLoss 0.3500 (0.3294)\tPrec@1 91.406 (93.099)\n",
      "Test: [120/157]\tTime 0.152 (0.157)\tLoss 0.1957 (0.3262)\tPrec@1 94.141 (93.117)\n",
      "Test: [130/157]\tTime 0.164 (0.157)\tLoss 0.2424 (0.3238)\tPrec@1 94.141 (93.130)\n",
      "Test: [140/157]\tTime 0.152 (0.157)\tLoss 0.1862 (0.3220)\tPrec@1 95.312 (93.182)\n",
      "Test: [150/157]\tTime 0.148 (0.157)\tLoss 0.2549 (0.3213)\tPrec@1 93.359 (93.204)\n",
      " * Prec@1 93.222\n",
      "Epoch: [141][0/118]\tTime 0.286 (0.286)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][10/118]\tTime 0.540 (0.524)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][20/118]\tTime 0.545 (0.545)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][30/118]\tTime 0.529 (0.550)\tLoss 0.0022 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][40/118]\tTime 0.515 (0.545)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][50/118]\tTime 0.601 (0.546)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][60/118]\tTime 0.573 (0.548)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][70/118]\tTime 0.545 (0.548)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][80/118]\tTime 0.580 (0.548)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][90/118]\tTime 0.574 (0.548)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][100/118]\tTime 0.571 (0.549)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [141][110/118]\tTime 0.516 (0.549)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.320 (0.320)\tLoss 0.1958 (0.1958)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.186 (0.185)\tLoss 0.3281 (0.3208)\tPrec@1 91.406 (92.791)\n",
      "Test: [20/157]\tTime 0.177 (0.173)\tLoss 0.1727 (0.3181)\tPrec@1 95.312 (93.155)\n",
      "Test: [30/157]\tTime 0.164 (0.170)\tLoss 0.3700 (0.3181)\tPrec@1 92.969 (93.271)\n",
      "Test: [40/157]\tTime 0.170 (0.166)\tLoss 0.3697 (0.3043)\tPrec@1 92.578 (93.569)\n",
      "Test: [50/157]\tTime 0.158 (0.165)\tLoss 0.3311 (0.2913)\tPrec@1 93.750 (93.742)\n",
      "Test: [60/157]\tTime 0.149 (0.164)\tLoss 0.3605 (0.3019)\tPrec@1 93.359 (93.571)\n",
      "Test: [70/157]\tTime 0.166 (0.163)\tLoss 0.1569 (0.2988)\tPrec@1 95.312 (93.651)\n",
      "Test: [80/157]\tTime 0.160 (0.163)\tLoss 0.3206 (0.2993)\tPrec@1 92.578 (93.615)\n",
      "Test: [90/157]\tTime 0.153 (0.161)\tLoss 0.2291 (0.3050)\tPrec@1 93.750 (93.467)\n",
      "Test: [100/157]\tTime 0.146 (0.161)\tLoss 0.2884 (0.3124)\tPrec@1 92.969 (93.336)\n",
      "Test: [110/157]\tTime 0.171 (0.161)\tLoss 0.4085 (0.3137)\tPrec@1 90.625 (93.310)\n",
      "Test: [120/157]\tTime 0.161 (0.162)\tLoss 0.4697 (0.3154)\tPrec@1 90.625 (93.269)\n",
      "Test: [130/157]\tTime 0.152 (0.161)\tLoss 0.2088 (0.3151)\tPrec@1 93.359 (93.258)\n",
      "Test: [140/157]\tTime 0.180 (0.162)\tLoss 0.2515 (0.3159)\tPrec@1 94.531 (93.254)\n",
      "Test: [150/157]\tTime 0.146 (0.162)\tLoss 0.3749 (0.3149)\tPrec@1 92.969 (93.261)\n",
      " * Prec@1 93.228\n",
      "Epoch: [142][0/118]\tTime 0.287 (0.287)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][10/118]\tTime 0.516 (0.524)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][20/118]\tTime 0.545 (0.540)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][30/118]\tTime 0.543 (0.542)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][40/118]\tTime 0.552 (0.549)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][50/118]\tTime 0.623 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][60/118]\tTime 0.562 (0.550)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][70/118]\tTime 0.540 (0.551)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][80/118]\tTime 0.577 (0.552)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][90/118]\tTime 0.538 (0.555)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][100/118]\tTime 0.521 (0.555)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [142][110/118]\tTime 0.549 (0.557)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.306 (0.306)\tLoss 0.3316 (0.3316)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.179 (0.175)\tLoss 0.3015 (0.3138)\tPrec@1 93.750 (93.040)\n",
      "Test: [20/157]\tTime 0.158 (0.167)\tLoss 0.2152 (0.3189)\tPrec@1 94.922 (93.229)\n",
      "Test: [30/157]\tTime 0.148 (0.165)\tLoss 0.4007 (0.3268)\tPrec@1 91.797 (93.133)\n",
      "Test: [40/157]\tTime 0.152 (0.163)\tLoss 0.2434 (0.3194)\tPrec@1 94.141 (93.150)\n",
      "Test: [50/157]\tTime 0.196 (0.162)\tLoss 0.3577 (0.3281)\tPrec@1 93.359 (93.061)\n",
      "Test: [60/157]\tTime 0.152 (0.161)\tLoss 0.3026 (0.3242)\tPrec@1 94.141 (93.180)\n",
      "Test: [70/157]\tTime 0.153 (0.160)\tLoss 0.2852 (0.3252)\tPrec@1 93.750 (93.216)\n",
      "Test: [80/157]\tTime 0.148 (0.160)\tLoss 0.3943 (0.3259)\tPrec@1 91.016 (93.195)\n",
      "Test: [90/157]\tTime 0.151 (0.159)\tLoss 0.2832 (0.3234)\tPrec@1 92.578 (93.235)\n",
      "Test: [100/157]\tTime 0.151 (0.160)\tLoss 0.2687 (0.3231)\tPrec@1 95.312 (93.197)\n",
      "Test: [110/157]\tTime 0.149 (0.160)\tLoss 0.3571 (0.3271)\tPrec@1 93.750 (93.099)\n",
      "Test: [120/157]\tTime 0.151 (0.159)\tLoss 0.1760 (0.3281)\tPrec@1 96.484 (93.075)\n",
      "Test: [130/157]\tTime 0.153 (0.159)\tLoss 0.4064 (0.3263)\tPrec@1 91.797 (93.088)\n",
      "Test: [140/157]\tTime 0.152 (0.159)\tLoss 0.2810 (0.3253)\tPrec@1 93.359 (93.124)\n",
      "Test: [150/157]\tTime 0.153 (0.159)\tLoss 0.1862 (0.3228)\tPrec@1 95.703 (93.165)\n",
      " * Prec@1 93.198\n",
      "Epoch: [143][0/118]\tTime 0.260 (0.260)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][10/118]\tTime 0.514 (0.521)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][20/118]\tTime 0.546 (0.542)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][30/118]\tTime 0.534 (0.548)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][40/118]\tTime 0.546 (0.551)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][50/118]\tTime 0.523 (0.550)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][60/118]\tTime 0.558 (0.551)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][70/118]\tTime 0.574 (0.552)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][80/118]\tTime 0.555 (0.553)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][90/118]\tTime 0.541 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][100/118]\tTime 0.545 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [143][110/118]\tTime 0.568 (0.556)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.295 (0.295)\tLoss 0.3246 (0.3246)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.145 (0.164)\tLoss 0.2218 (0.3248)\tPrec@1 96.094 (93.182)\n",
      "Test: [20/157]\tTime 0.198 (0.163)\tLoss 0.2736 (0.3193)\tPrec@1 94.141 (93.062)\n",
      "Test: [30/157]\tTime 0.156 (0.160)\tLoss 0.4254 (0.3245)\tPrec@1 90.625 (93.019)\n",
      "Test: [40/157]\tTime 0.168 (0.161)\tLoss 0.2514 (0.3198)\tPrec@1 94.531 (93.216)\n",
      "Test: [50/157]\tTime 0.180 (0.162)\tLoss 0.3957 (0.3271)\tPrec@1 91.406 (93.122)\n",
      "Test: [60/157]\tTime 0.150 (0.161)\tLoss 0.1756 (0.3242)\tPrec@1 95.703 (93.193)\n",
      "Test: [70/157]\tTime 0.164 (0.162)\tLoss 0.2477 (0.3186)\tPrec@1 94.141 (93.299)\n",
      "Test: [80/157]\tTime 0.158 (0.161)\tLoss 0.1806 (0.3180)\tPrec@1 95.703 (93.311)\n",
      "Test: [90/157]\tTime 0.159 (0.161)\tLoss 0.2456 (0.3220)\tPrec@1 95.312 (93.209)\n",
      "Test: [100/157]\tTime 0.185 (0.161)\tLoss 0.3980 (0.3274)\tPrec@1 91.016 (93.123)\n",
      "Test: [110/157]\tTime 0.149 (0.161)\tLoss 0.3296 (0.3269)\tPrec@1 93.750 (93.159)\n",
      "Test: [120/157]\tTime 0.157 (0.160)\tLoss 0.3669 (0.3263)\tPrec@1 92.969 (93.182)\n",
      "Test: [130/157]\tTime 0.160 (0.160)\tLoss 0.1406 (0.3231)\tPrec@1 95.703 (93.222)\n",
      "Test: [140/157]\tTime 0.148 (0.160)\tLoss 0.5706 (0.3258)\tPrec@1 87.891 (93.146)\n",
      "Test: [150/157]\tTime 0.156 (0.159)\tLoss 0.3537 (0.3262)\tPrec@1 91.406 (93.134)\n",
      " * Prec@1 93.153\n",
      "Epoch: [144][0/118]\tTime 0.262 (0.262)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][10/118]\tTime 0.514 (0.538)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [144][20/118]\tTime 0.523 (0.539)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][30/118]\tTime 0.553 (0.547)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][40/118]\tTime 0.589 (0.551)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][50/118]\tTime 0.571 (0.549)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][60/118]\tTime 0.525 (0.548)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][70/118]\tTime 0.569 (0.550)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][80/118]\tTime 0.549 (0.551)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][90/118]\tTime 0.587 (0.552)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][100/118]\tTime 0.559 (0.553)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [144][110/118]\tTime 0.567 (0.554)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.304 (0.304)\tLoss 0.2119 (0.2119)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.151 (0.170)\tLoss 0.3997 (0.3585)\tPrec@1 92.578 (93.004)\n",
      "Test: [20/157]\tTime 0.156 (0.162)\tLoss 0.3155 (0.3330)\tPrec@1 93.359 (92.950)\n",
      "Test: [30/157]\tTime 0.152 (0.162)\tLoss 0.4118 (0.3277)\tPrec@1 91.797 (92.918)\n",
      "Test: [40/157]\tTime 0.146 (0.162)\tLoss 0.2123 (0.3166)\tPrec@1 94.922 (93.121)\n",
      "Test: [50/157]\tTime 0.146 (0.161)\tLoss 0.4180 (0.3212)\tPrec@1 92.188 (93.191)\n",
      "Test: [60/157]\tTime 0.147 (0.160)\tLoss 0.3382 (0.3136)\tPrec@1 93.750 (93.283)\n",
      "Test: [70/157]\tTime 0.154 (0.160)\tLoss 0.2664 (0.3148)\tPrec@1 95.312 (93.244)\n",
      "Test: [80/157]\tTime 0.183 (0.160)\tLoss 0.3996 (0.3163)\tPrec@1 92.188 (93.263)\n",
      "Test: [90/157]\tTime 0.160 (0.160)\tLoss 0.2576 (0.3182)\tPrec@1 94.141 (93.218)\n",
      "Test: [100/157]\tTime 0.162 (0.160)\tLoss 0.3285 (0.3198)\tPrec@1 92.188 (93.205)\n",
      "Test: [110/157]\tTime 0.160 (0.160)\tLoss 0.2514 (0.3180)\tPrec@1 94.531 (93.190)\n",
      "Test: [120/157]\tTime 0.157 (0.160)\tLoss 0.3408 (0.3192)\tPrec@1 92.188 (93.169)\n",
      "Test: [130/157]\tTime 0.175 (0.161)\tLoss 0.3248 (0.3187)\tPrec@1 91.797 (93.192)\n",
      "Test: [140/157]\tTime 0.154 (0.160)\tLoss 0.4094 (0.3190)\tPrec@1 92.578 (93.218)\n",
      "Test: [150/157]\tTime 0.143 (0.161)\tLoss 0.4765 (0.3211)\tPrec@1 89.453 (93.165)\n",
      " * Prec@1 93.120\n",
      "Epoch: [145][0/118]\tTime 0.259 (0.259)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][10/118]\tTime 0.572 (0.547)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][20/118]\tTime 0.569 (0.550)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][30/118]\tTime 0.535 (0.550)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][40/118]\tTime 0.581 (0.554)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][50/118]\tTime 0.548 (0.557)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][60/118]\tTime 0.575 (0.557)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][70/118]\tTime 0.550 (0.556)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][80/118]\tTime 0.530 (0.556)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][90/118]\tTime 0.528 (0.556)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][100/118]\tTime 0.529 (0.558)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [145][110/118]\tTime 0.567 (0.559)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.338 (0.338)\tLoss 0.2911 (0.2911)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.184 (0.174)\tLoss 0.2987 (0.3237)\tPrec@1 92.969 (93.111)\n",
      "Test: [20/157]\tTime 0.166 (0.170)\tLoss 0.5026 (0.3387)\tPrec@1 90.234 (93.080)\n",
      "Test: [30/157]\tTime 0.151 (0.168)\tLoss 0.3878 (0.3443)\tPrec@1 91.406 (92.944)\n",
      "Test: [40/157]\tTime 0.142 (0.166)\tLoss 0.3592 (0.3399)\tPrec@1 91.406 (93.007)\n",
      "Test: [50/157]\tTime 0.146 (0.165)\tLoss 0.2142 (0.3296)\tPrec@1 95.312 (93.153)\n",
      "Test: [60/157]\tTime 0.150 (0.163)\tLoss 0.2346 (0.3244)\tPrec@1 94.141 (93.206)\n",
      "Test: [70/157]\tTime 0.167 (0.163)\tLoss 0.3898 (0.3224)\tPrec@1 91.016 (93.194)\n",
      "Test: [80/157]\tTime 0.171 (0.163)\tLoss 0.3077 (0.3204)\tPrec@1 92.969 (93.229)\n",
      "Test: [90/157]\tTime 0.161 (0.162)\tLoss 0.2467 (0.3193)\tPrec@1 94.531 (93.278)\n",
      "Test: [100/157]\tTime 0.151 (0.162)\tLoss 0.3284 (0.3187)\tPrec@1 93.750 (93.301)\n",
      "Test: [110/157]\tTime 0.161 (0.162)\tLoss 0.3487 (0.3178)\tPrec@1 92.969 (93.366)\n",
      "Test: [120/157]\tTime 0.167 (0.161)\tLoss 0.3182 (0.3208)\tPrec@1 91.016 (93.259)\n",
      "Test: [130/157]\tTime 0.182 (0.161)\tLoss 0.2433 (0.3220)\tPrec@1 95.312 (93.234)\n",
      "Test: [140/157]\tTime 0.181 (0.161)\tLoss 0.3219 (0.3188)\tPrec@1 94.141 (93.273)\n",
      "Test: [150/157]\tTime 0.148 (0.162)\tLoss 0.3472 (0.3226)\tPrec@1 92.969 (93.215)\n",
      " * Prec@1 93.192\n",
      "Epoch: [146][0/118]\tTime 0.285 (0.285)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][10/118]\tTime 0.562 (0.530)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][20/118]\tTime 0.548 (0.545)\tLoss 0.0009 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][30/118]\tTime 0.511 (0.543)\tLoss 0.0011 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][40/118]\tTime 0.579 (0.546)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][50/118]\tTime 0.582 (0.549)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][60/118]\tTime 0.532 (0.551)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][70/118]\tTime 0.568 (0.550)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][80/118]\tTime 0.552 (0.551)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][90/118]\tTime 0.524 (0.550)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][100/118]\tTime 0.505 (0.549)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [146][110/118]\tTime 0.552 (0.550)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.266 (0.266)\tLoss 0.2162 (0.2162)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.184 (0.171)\tLoss 0.2360 (0.2594)\tPrec@1 93.359 (94.212)\n",
      "Test: [20/157]\tTime 0.172 (0.168)\tLoss 0.3067 (0.2842)\tPrec@1 95.312 (93.824)\n",
      "Test: [30/157]\tTime 0.146 (0.163)\tLoss 0.5094 (0.3121)\tPrec@1 89.062 (93.221)\n",
      "Test: [40/157]\tTime 0.155 (0.162)\tLoss 0.2430 (0.3092)\tPrec@1 95.312 (93.321)\n",
      "Test: [50/157]\tTime 0.159 (0.163)\tLoss 0.3805 (0.3092)\tPrec@1 91.406 (93.329)\n",
      "Test: [60/157]\tTime 0.160 (0.164)\tLoss 0.3040 (0.3136)\tPrec@1 92.578 (93.206)\n",
      "Test: [70/157]\tTime 0.156 (0.163)\tLoss 0.2849 (0.3204)\tPrec@1 92.578 (93.134)\n",
      "Test: [80/157]\tTime 0.173 (0.162)\tLoss 0.2214 (0.3214)\tPrec@1 94.922 (93.176)\n",
      "Test: [90/157]\tTime 0.155 (0.163)\tLoss 0.2690 (0.3208)\tPrec@1 92.969 (93.179)\n",
      "Test: [100/157]\tTime 0.149 (0.162)\tLoss 0.4548 (0.3185)\tPrec@1 90.625 (93.185)\n",
      "Test: [110/157]\tTime 0.145 (0.162)\tLoss 0.3705 (0.3230)\tPrec@1 91.797 (93.120)\n",
      "Test: [120/157]\tTime 0.150 (0.161)\tLoss 0.3011 (0.3234)\tPrec@1 94.531 (93.130)\n",
      "Test: [130/157]\tTime 0.166 (0.161)\tLoss 0.3597 (0.3217)\tPrec@1 93.359 (93.177)\n",
      "Test: [140/157]\tTime 0.155 (0.161)\tLoss 0.2001 (0.3197)\tPrec@1 96.094 (93.237)\n",
      "Test: [150/157]\tTime 0.160 (0.161)\tLoss 0.3910 (0.3201)\tPrec@1 92.188 (93.222)\n",
      " * Prec@1 93.207\n",
      "Epoch: [147][0/118]\tTime 0.298 (0.298)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][10/118]\tTime 0.539 (0.534)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][20/118]\tTime 0.535 (0.536)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][30/118]\tTime 0.519 (0.542)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][40/118]\tTime 0.522 (0.544)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][50/118]\tTime 0.569 (0.543)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][60/118]\tTime 0.573 (0.544)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][70/118]\tTime 0.584 (0.564)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][80/118]\tTime 0.507 (0.561)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][90/118]\tTime 0.550 (0.558)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][100/118]\tTime 0.531 (0.558)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [147][110/118]\tTime 0.552 (0.558)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.295 (0.295)\tLoss 0.4153 (0.4153)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.149 (0.172)\tLoss 0.3023 (0.3152)\tPrec@1 93.750 (93.288)\n",
      "Test: [20/157]\tTime 0.160 (0.164)\tLoss 0.4208 (0.3229)\tPrec@1 90.625 (93.155)\n",
      "Test: [30/157]\tTime 0.160 (0.164)\tLoss 0.4863 (0.3295)\tPrec@1 90.234 (93.196)\n",
      "Test: [40/157]\tTime 0.150 (0.163)\tLoss 0.3596 (0.3439)\tPrec@1 92.969 (92.950)\n",
      "Test: [50/157]\tTime 0.151 (0.162)\tLoss 0.3182 (0.3391)\tPrec@1 93.750 (93.053)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.166 (0.161)\tLoss 0.1918 (0.3380)\tPrec@1 92.969 (93.033)\n",
      "Test: [70/157]\tTime 0.153 (0.160)\tLoss 0.3154 (0.3339)\tPrec@1 92.578 (93.101)\n",
      "Test: [80/157]\tTime 0.160 (0.159)\tLoss 0.2732 (0.3290)\tPrec@1 94.141 (93.152)\n",
      "Test: [90/157]\tTime 0.160 (0.159)\tLoss 0.3624 (0.3239)\tPrec@1 93.359 (93.188)\n",
      "Test: [100/157]\tTime 0.165 (0.160)\tLoss 0.2833 (0.3230)\tPrec@1 92.188 (93.197)\n",
      "Test: [110/157]\tTime 0.174 (0.161)\tLoss 0.3452 (0.3251)\tPrec@1 92.578 (93.124)\n",
      "Test: [120/157]\tTime 0.157 (0.160)\tLoss 0.2588 (0.3245)\tPrec@1 94.141 (93.146)\n",
      "Test: [130/157]\tTime 0.157 (0.161)\tLoss 0.3212 (0.3226)\tPrec@1 92.969 (93.186)\n",
      "Test: [140/157]\tTime 0.154 (0.160)\tLoss 0.3018 (0.3233)\tPrec@1 93.750 (93.168)\n",
      "Test: [150/157]\tTime 0.151 (0.160)\tLoss 0.2299 (0.3244)\tPrec@1 93.750 (93.139)\n",
      " * Prec@1 93.168\n",
      "Epoch: [148][0/118]\tTime 0.258 (0.258)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][10/118]\tTime 0.572 (0.528)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][20/118]\tTime 0.515 (0.533)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][30/118]\tTime 0.552 (0.544)\tLoss 0.0015 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][40/118]\tTime 0.548 (0.547)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][50/118]\tTime 0.548 (0.548)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][60/118]\tTime 0.531 (0.548)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][70/118]\tTime 0.572 (0.551)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][80/118]\tTime 0.536 (0.549)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][90/118]\tTime 0.581 (0.549)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][100/118]\tTime 0.567 (0.551)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [148][110/118]\tTime 0.569 (0.552)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.297 (0.297)\tLoss 0.2760 (0.2760)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.159 (0.165)\tLoss 0.3435 (0.3014)\tPrec@1 93.750 (93.963)\n",
      "Test: [20/157]\tTime 0.173 (0.161)\tLoss 0.4297 (0.3198)\tPrec@1 91.406 (93.490)\n",
      "Test: [30/157]\tTime 0.151 (0.162)\tLoss 0.5372 (0.3388)\tPrec@1 89.844 (93.057)\n",
      "Test: [40/157]\tTime 0.148 (0.161)\tLoss 0.3778 (0.3385)\tPrec@1 92.578 (92.997)\n",
      "Test: [50/157]\tTime 0.164 (0.161)\tLoss 0.1922 (0.3221)\tPrec@1 94.531 (93.252)\n",
      "Test: [60/157]\tTime 0.176 (0.162)\tLoss 0.2534 (0.3298)\tPrec@1 93.359 (93.046)\n",
      "Test: [70/157]\tTime 0.147 (0.161)\tLoss 0.2518 (0.3247)\tPrec@1 94.922 (93.123)\n",
      "Test: [80/157]\tTime 0.154 (0.159)\tLoss 0.4149 (0.3259)\tPrec@1 92.969 (93.171)\n",
      "Test: [90/157]\tTime 0.154 (0.160)\tLoss 0.2631 (0.3257)\tPrec@1 93.359 (93.166)\n",
      "Test: [100/157]\tTime 0.159 (0.160)\tLoss 0.3015 (0.3268)\tPrec@1 93.359 (93.123)\n",
      "Test: [110/157]\tTime 0.156 (0.161)\tLoss 0.3332 (0.3275)\tPrec@1 94.141 (93.127)\n",
      "Test: [120/157]\tTime 0.152 (0.161)\tLoss 0.3125 (0.3261)\tPrec@1 94.922 (93.169)\n",
      "Test: [130/157]\tTime 0.156 (0.160)\tLoss 0.4262 (0.3280)\tPrec@1 91.797 (93.174)\n",
      "Test: [140/157]\tTime 0.146 (0.161)\tLoss 0.3774 (0.3264)\tPrec@1 91.797 (93.177)\n",
      "Test: [150/157]\tTime 0.209 (0.161)\tLoss 0.2747 (0.3253)\tPrec@1 93.750 (93.204)\n",
      " * Prec@1 93.175\n",
      "Epoch: [149][0/118]\tTime 0.270 (0.270)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][10/118]\tTime 0.544 (0.524)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][20/118]\tTime 0.560 (0.539)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][30/118]\tTime 0.535 (0.546)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][40/118]\tTime 0.532 (0.551)\tLoss 0.0018 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][50/118]\tTime 0.547 (0.550)\tLoss 0.0015 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][60/118]\tTime 0.546 (0.551)\tLoss 0.0010 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][70/118]\tTime 0.556 (0.552)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][80/118]\tTime 0.572 (0.553)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][90/118]\tTime 0.565 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][100/118]\tTime 0.559 (0.553)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [149][110/118]\tTime 0.579 (0.554)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.318 (0.318)\tLoss 0.3997 (0.3997)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.153 (0.182)\tLoss 0.3665 (0.3106)\tPrec@1 92.969 (93.430)\n",
      "Test: [20/157]\tTime 0.180 (0.175)\tLoss 0.2710 (0.3355)\tPrec@1 94.531 (92.839)\n",
      "Test: [30/157]\tTime 0.147 (0.170)\tLoss 0.3223 (0.3276)\tPrec@1 92.188 (93.032)\n",
      "Test: [40/157]\tTime 0.143 (0.166)\tLoss 0.3824 (0.3219)\tPrec@1 91.016 (93.131)\n",
      "Test: [50/157]\tTime 0.155 (0.165)\tLoss 0.2853 (0.3240)\tPrec@1 94.141 (93.153)\n",
      "Test: [60/157]\tTime 0.152 (0.163)\tLoss 0.3769 (0.3232)\tPrec@1 92.969 (93.142)\n",
      "Test: [70/157]\tTime 0.159 (0.162)\tLoss 0.4647 (0.3289)\tPrec@1 90.625 (93.007)\n",
      "Test: [80/157]\tTime 0.152 (0.162)\tLoss 0.2794 (0.3268)\tPrec@1 93.750 (93.051)\n",
      "Test: [90/157]\tTime 0.154 (0.162)\tLoss 0.3658 (0.3283)\tPrec@1 91.016 (93.025)\n",
      "Test: [100/157]\tTime 0.148 (0.161)\tLoss 0.3674 (0.3300)\tPrec@1 91.797 (92.969)\n",
      "Test: [110/157]\tTime 0.144 (0.160)\tLoss 0.3748 (0.3276)\tPrec@1 93.750 (93.029)\n",
      "Test: [120/157]\tTime 0.147 (0.160)\tLoss 0.4603 (0.3316)\tPrec@1 91.016 (93.004)\n",
      "Test: [130/157]\tTime 0.147 (0.160)\tLoss 0.2290 (0.3277)\tPrec@1 96.094 (93.109)\n",
      "Test: [140/157]\tTime 0.154 (0.160)\tLoss 0.4244 (0.3271)\tPrec@1 91.797 (93.154)\n",
      "Test: [150/157]\tTime 0.158 (0.159)\tLoss 0.3990 (0.3271)\tPrec@1 90.625 (93.137)\n",
      " * Prec@1 93.205\n",
      "Epoch: [150][0/118]\tTime 0.282 (0.282)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][10/118]\tTime 0.520 (0.518)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][20/118]\tTime 0.513 (0.534)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][30/118]\tTime 0.574 (0.541)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][40/118]\tTime 0.582 (0.545)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][50/118]\tTime 0.593 (0.548)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][60/118]\tTime 0.536 (0.551)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][70/118]\tTime 0.562 (0.551)\tLoss 0.0020 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][80/118]\tTime 0.536 (0.553)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][90/118]\tTime 0.585 (0.554)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][100/118]\tTime 0.544 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [150][110/118]\tTime 0.541 (0.553)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.345 (0.345)\tLoss 0.2607 (0.2607)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.151 (0.173)\tLoss 0.4298 (0.3268)\tPrec@1 91.797 (93.324)\n",
      "Test: [20/157]\tTime 0.169 (0.166)\tLoss 0.2586 (0.3423)\tPrec@1 94.531 (93.025)\n",
      "Test: [30/157]\tTime 0.155 (0.164)\tLoss 0.3817 (0.3348)\tPrec@1 92.969 (93.120)\n",
      "Test: [40/157]\tTime 0.143 (0.162)\tLoss 0.4228 (0.3282)\tPrec@1 92.578 (93.236)\n",
      "Test: [50/157]\tTime 0.161 (0.161)\tLoss 0.1188 (0.3208)\tPrec@1 97.266 (93.290)\n",
      "Test: [60/157]\tTime 0.160 (0.161)\tLoss 0.4630 (0.3301)\tPrec@1 90.625 (93.167)\n",
      "Test: [70/157]\tTime 0.159 (0.161)\tLoss 0.2074 (0.3268)\tPrec@1 95.312 (93.249)\n",
      "Test: [80/157]\tTime 0.176 (0.161)\tLoss 0.2778 (0.3230)\tPrec@1 94.922 (93.287)\n",
      "Test: [90/157]\tTime 0.145 (0.160)\tLoss 0.2936 (0.3252)\tPrec@1 92.188 (93.261)\n",
      "Test: [100/157]\tTime 0.161 (0.160)\tLoss 0.2643 (0.3248)\tPrec@1 92.188 (93.243)\n",
      "Test: [110/157]\tTime 0.149 (0.160)\tLoss 0.3412 (0.3280)\tPrec@1 92.969 (93.208)\n",
      "Test: [120/157]\tTime 0.165 (0.160)\tLoss 0.4077 (0.3273)\tPrec@1 92.188 (93.195)\n",
      "Test: [130/157]\tTime 0.159 (0.159)\tLoss 0.2522 (0.3265)\tPrec@1 92.969 (93.169)\n",
      "Test: [140/157]\tTime 0.169 (0.159)\tLoss 0.2060 (0.3255)\tPrec@1 94.141 (93.182)\n",
      "Test: [150/157]\tTime 0.147 (0.159)\tLoss 0.3471 (0.3256)\tPrec@1 93.359 (93.186)\n",
      " * Prec@1 93.228\n",
      "Epoch: [151][0/118]\tTime 0.260 (0.260)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][10/118]\tTime 0.587 (0.522)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][20/118]\tTime 0.614 (0.545)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][30/118]\tTime 0.535 (0.546)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][40/118]\tTime 0.590 (0.549)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][50/118]\tTime 0.521 (0.549)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [151][60/118]\tTime 0.603 (0.553)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][70/118]\tTime 0.552 (0.555)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][80/118]\tTime 0.614 (0.555)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][90/118]\tTime 0.510 (0.558)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][100/118]\tTime 0.562 (0.557)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [151][110/118]\tTime 0.549 (0.558)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.304 (0.304)\tLoss 0.2600 (0.2600)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.149 (0.168)\tLoss 0.2264 (0.3071)\tPrec@1 94.531 (93.430)\n",
      "Test: [20/157]\tTime 0.153 (0.161)\tLoss 0.2375 (0.3221)\tPrec@1 95.312 (93.155)\n",
      "Test: [30/157]\tTime 0.164 (0.159)\tLoss 0.4391 (0.3286)\tPrec@1 91.406 (93.070)\n",
      "Test: [40/157]\tTime 0.147 (0.158)\tLoss 0.3883 (0.3301)\tPrec@1 91.797 (93.131)\n",
      "Test: [50/157]\tTime 0.171 (0.158)\tLoss 0.2550 (0.3272)\tPrec@1 92.578 (93.068)\n",
      "Test: [60/157]\tTime 0.149 (0.157)\tLoss 0.4868 (0.3257)\tPrec@1 90.625 (93.161)\n",
      "Test: [70/157]\tTime 0.165 (0.157)\tLoss 0.3045 (0.3265)\tPrec@1 93.359 (93.106)\n",
      "Test: [80/157]\tTime 0.161 (0.157)\tLoss 0.2531 (0.3302)\tPrec@1 94.141 (93.075)\n",
      "Test: [90/157]\tTime 0.184 (0.158)\tLoss 0.3386 (0.3255)\tPrec@1 91.797 (93.123)\n",
      "Test: [100/157]\tTime 0.155 (0.158)\tLoss 0.5179 (0.3269)\tPrec@1 90.625 (93.120)\n",
      "Test: [110/157]\tTime 0.165 (0.159)\tLoss 0.2550 (0.3205)\tPrec@1 93.359 (93.254)\n",
      "Test: [120/157]\tTime 0.155 (0.160)\tLoss 0.2402 (0.3210)\tPrec@1 95.312 (93.230)\n",
      "Test: [130/157]\tTime 0.176 (0.159)\tLoss 0.3136 (0.3232)\tPrec@1 92.578 (93.169)\n",
      "Test: [140/157]\tTime 0.154 (0.159)\tLoss 0.3359 (0.3232)\tPrec@1 92.969 (93.188)\n",
      "Test: [150/157]\tTime 0.150 (0.159)\tLoss 0.3474 (0.3243)\tPrec@1 92.188 (93.142)\n",
      " * Prec@1 93.155\n",
      "Epoch: [152][0/118]\tTime 0.301 (0.301)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][10/118]\tTime 0.556 (0.507)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][20/118]\tTime 0.538 (0.529)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][30/118]\tTime 0.559 (0.539)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][40/118]\tTime 0.551 (0.544)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][50/118]\tTime 0.558 (0.544)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][60/118]\tTime 0.541 (0.545)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][70/118]\tTime 0.562 (0.556)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][80/118]\tTime 0.542 (0.555)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][90/118]\tTime 0.534 (0.553)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][100/118]\tTime 0.555 (0.561)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [152][110/118]\tTime 0.536 (0.559)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.317 (0.317)\tLoss 0.3135 (0.3135)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.177 (0.180)\tLoss 0.2020 (0.3368)\tPrec@1 95.703 (93.111)\n",
      "Test: [20/157]\tTime 0.146 (0.166)\tLoss 0.3622 (0.3244)\tPrec@1 93.750 (93.211)\n",
      "Test: [30/157]\tTime 0.176 (0.163)\tLoss 0.3806 (0.3400)\tPrec@1 92.578 (92.956)\n",
      "Test: [40/157]\tTime 0.150 (0.160)\tLoss 0.3302 (0.3229)\tPrec@1 94.531 (93.216)\n",
      "Test: [50/157]\tTime 0.148 (0.158)\tLoss 0.3459 (0.3182)\tPrec@1 92.188 (93.252)\n",
      "Test: [60/157]\tTime 0.154 (0.158)\tLoss 0.3025 (0.3109)\tPrec@1 92.578 (93.334)\n",
      "Test: [70/157]\tTime 0.160 (0.158)\tLoss 0.5215 (0.3192)\tPrec@1 91.406 (93.244)\n",
      "Test: [80/157]\tTime 0.165 (0.158)\tLoss 0.2457 (0.3160)\tPrec@1 95.312 (93.277)\n",
      "Test: [90/157]\tTime 0.157 (0.158)\tLoss 0.1761 (0.3116)\tPrec@1 95.703 (93.334)\n",
      "Test: [100/157]\tTime 0.148 (0.158)\tLoss 0.2210 (0.3133)\tPrec@1 94.531 (93.290)\n",
      "Test: [110/157]\tTime 0.151 (0.157)\tLoss 0.4442 (0.3176)\tPrec@1 92.188 (93.194)\n",
      "Test: [120/157]\tTime 0.147 (0.157)\tLoss 0.3314 (0.3188)\tPrec@1 92.578 (93.185)\n",
      "Test: [130/157]\tTime 0.175 (0.157)\tLoss 0.4192 (0.3229)\tPrec@1 91.406 (93.133)\n",
      "Test: [140/157]\tTime 0.153 (0.157)\tLoss 0.4221 (0.3220)\tPrec@1 91.406 (93.135)\n",
      "Test: [150/157]\tTime 0.181 (0.157)\tLoss 0.2127 (0.3226)\tPrec@1 95.703 (93.137)\n",
      " * Prec@1 93.147\n",
      "Epoch: [153][0/118]\tTime 0.289 (0.289)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][10/118]\tTime 0.534 (0.516)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][20/118]\tTime 0.533 (0.535)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][30/118]\tTime 0.568 (0.543)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][40/118]\tTime 0.575 (0.546)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][50/118]\tTime 0.600 (0.549)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][60/118]\tTime 0.514 (0.550)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][70/118]\tTime 0.527 (0.553)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][80/118]\tTime 0.545 (0.554)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][90/118]\tTime 0.511 (0.554)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][100/118]\tTime 0.571 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [153][110/118]\tTime 0.623 (0.556)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.297 (0.297)\tLoss 0.2211 (0.2211)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.145 (0.174)\tLoss 0.2357 (0.3207)\tPrec@1 96.094 (93.288)\n",
      "Test: [20/157]\tTime 0.178 (0.166)\tLoss 0.3069 (0.3256)\tPrec@1 92.188 (93.099)\n",
      "Test: [30/157]\tTime 0.153 (0.163)\tLoss 0.4045 (0.3285)\tPrec@1 93.359 (93.070)\n",
      "Test: [40/157]\tTime 0.155 (0.163)\tLoss 0.3161 (0.3205)\tPrec@1 92.578 (93.178)\n",
      "Test: [50/157]\tTime 0.156 (0.162)\tLoss 0.4391 (0.3227)\tPrec@1 91.016 (93.122)\n",
      "Test: [60/157]\tTime 0.154 (0.161)\tLoss 0.3257 (0.3242)\tPrec@1 94.922 (93.065)\n",
      "Test: [70/157]\tTime 0.154 (0.162)\tLoss 0.2047 (0.3209)\tPrec@1 95.703 (93.128)\n",
      "Test: [80/157]\tTime 0.174 (0.161)\tLoss 0.2310 (0.3199)\tPrec@1 94.531 (93.171)\n",
      "Test: [90/157]\tTime 0.165 (0.161)\tLoss 0.4279 (0.3175)\tPrec@1 92.188 (93.192)\n",
      "Test: [100/157]\tTime 0.162 (0.161)\tLoss 0.2892 (0.3166)\tPrec@1 94.141 (93.228)\n",
      "Test: [110/157]\tTime 0.185 (0.162)\tLoss 0.3543 (0.3208)\tPrec@1 94.141 (93.159)\n",
      "Test: [120/157]\tTime 0.147 (0.161)\tLoss 0.2785 (0.3184)\tPrec@1 92.969 (93.192)\n",
      "Test: [130/157]\tTime 0.158 (0.161)\tLoss 0.5484 (0.3186)\tPrec@1 89.844 (93.189)\n",
      "Test: [140/157]\tTime 0.144 (0.160)\tLoss 0.4144 (0.3183)\tPrec@1 91.406 (93.199)\n",
      "Test: [150/157]\tTime 0.160 (0.160)\tLoss 0.4281 (0.3196)\tPrec@1 91.016 (93.194)\n",
      " * Prec@1 93.205\n",
      "Epoch: [154][0/118]\tTime 0.275 (0.275)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][10/118]\tTime 0.537 (0.516)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][20/118]\tTime 0.555 (0.530)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][30/118]\tTime 0.552 (0.536)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][40/118]\tTime 0.574 (0.544)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][50/118]\tTime 0.509 (0.544)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][60/118]\tTime 0.551 (0.545)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][70/118]\tTime 0.610 (0.548)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][80/118]\tTime 0.541 (0.549)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][90/118]\tTime 0.565 (0.552)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][100/118]\tTime 0.550 (0.552)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [154][110/118]\tTime 0.516 (0.551)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.263 (0.263)\tLoss 0.3145 (0.3145)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.184 (0.173)\tLoss 0.3551 (0.3316)\tPrec@1 92.969 (92.756)\n",
      "Test: [20/157]\tTime 0.151 (0.171)\tLoss 0.3039 (0.3385)\tPrec@1 93.750 (92.783)\n",
      "Test: [30/157]\tTime 0.147 (0.166)\tLoss 0.3757 (0.3289)\tPrec@1 92.969 (93.082)\n",
      "Test: [40/157]\tTime 0.144 (0.164)\tLoss 0.2232 (0.3255)\tPrec@1 95.703 (93.159)\n",
      "Test: [50/157]\tTime 0.155 (0.162)\tLoss 0.2615 (0.3221)\tPrec@1 94.531 (93.176)\n",
      "Test: [60/157]\tTime 0.152 (0.161)\tLoss 0.2784 (0.3256)\tPrec@1 93.750 (93.135)\n",
      "Test: [70/157]\tTime 0.144 (0.160)\tLoss 0.5187 (0.3335)\tPrec@1 90.234 (93.018)\n",
      "Test: [80/157]\tTime 0.226 (0.161)\tLoss 0.2707 (0.3315)\tPrec@1 94.141 (93.056)\n",
      "Test: [90/157]\tTime 0.160 (0.162)\tLoss 0.3061 (0.3239)\tPrec@1 92.578 (93.183)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.153 (0.163)\tLoss 0.2876 (0.3211)\tPrec@1 94.531 (93.220)\n",
      "Test: [110/157]\tTime 0.160 (0.163)\tLoss 0.3177 (0.3252)\tPrec@1 93.750 (93.155)\n",
      "Test: [120/157]\tTime 0.150 (0.163)\tLoss 0.4053 (0.3272)\tPrec@1 91.406 (93.137)\n",
      "Test: [130/157]\tTime 0.150 (0.162)\tLoss 0.4019 (0.3272)\tPrec@1 91.406 (93.127)\n",
      "Test: [140/157]\tTime 0.162 (0.161)\tLoss 0.2439 (0.3266)\tPrec@1 95.703 (93.157)\n",
      "Test: [150/157]\tTime 0.147 (0.161)\tLoss 0.2947 (0.3292)\tPrec@1 94.531 (93.108)\n",
      " * Prec@1 93.165\n",
      "Epoch: [155][0/118]\tTime 0.308 (0.308)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][10/118]\tTime 0.514 (0.527)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][20/118]\tTime 0.507 (0.539)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][30/118]\tTime 0.560 (0.542)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][40/118]\tTime 0.561 (0.545)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][50/118]\tTime 0.575 (0.548)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][60/118]\tTime 0.552 (0.551)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][70/118]\tTime 0.548 (0.551)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][80/118]\tTime 0.544 (0.553)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][90/118]\tTime 0.518 (0.552)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][100/118]\tTime 0.545 (0.554)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [155][110/118]\tTime 0.522 (0.554)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.310 (0.310)\tLoss 0.4248 (0.4248)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.157 (0.178)\tLoss 0.2596 (0.3215)\tPrec@1 94.141 (93.075)\n",
      "Test: [20/157]\tTime 0.155 (0.166)\tLoss 0.2838 (0.3238)\tPrec@1 94.531 (92.969)\n",
      "Test: [30/157]\tTime 0.152 (0.168)\tLoss 0.2353 (0.3226)\tPrec@1 94.531 (92.994)\n",
      "Test: [40/157]\tTime 0.149 (0.165)\tLoss 0.1881 (0.3149)\tPrec@1 94.531 (93.236)\n",
      "Test: [50/157]\tTime 0.142 (0.164)\tLoss 0.4530 (0.3218)\tPrec@1 89.844 (93.145)\n",
      "Test: [60/157]\tTime 0.150 (0.162)\tLoss 0.2601 (0.3253)\tPrec@1 94.531 (93.071)\n",
      "Test: [70/157]\tTime 0.187 (0.161)\tLoss 0.2929 (0.3286)\tPrec@1 94.922 (93.068)\n",
      "Test: [80/157]\tTime 0.148 (0.160)\tLoss 0.3715 (0.3268)\tPrec@1 94.141 (93.138)\n",
      "Test: [90/157]\tTime 0.150 (0.160)\tLoss 0.2675 (0.3177)\tPrec@1 92.969 (93.299)\n",
      "Test: [100/157]\tTime 0.141 (0.160)\tLoss 0.3239 (0.3194)\tPrec@1 92.188 (93.267)\n",
      "Test: [110/157]\tTime 0.172 (0.160)\tLoss 0.1863 (0.3163)\tPrec@1 95.312 (93.321)\n",
      "Test: [120/157]\tTime 0.153 (0.160)\tLoss 0.3694 (0.3195)\tPrec@1 92.578 (93.259)\n",
      "Test: [130/157]\tTime 0.149 (0.159)\tLoss 0.3987 (0.3231)\tPrec@1 92.578 (93.231)\n",
      "Test: [140/157]\tTime 0.176 (0.160)\tLoss 0.5084 (0.3237)\tPrec@1 90.234 (93.213)\n",
      "Test: [150/157]\tTime 0.151 (0.160)\tLoss 0.3711 (0.3223)\tPrec@1 91.797 (93.230)\n",
      " * Prec@1 93.213\n",
      "Epoch: [156][0/118]\tTime 0.250 (0.250)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][10/118]\tTime 0.517 (0.510)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][20/118]\tTime 0.636 (0.537)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][30/118]\tTime 0.583 (0.540)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][40/118]\tTime 0.506 (0.540)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][50/118]\tTime 0.514 (0.536)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][60/118]\tTime 0.545 (0.538)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][70/118]\tTime 0.528 (0.537)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][80/118]\tTime 0.497 (0.535)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][90/118]\tTime 0.514 (0.535)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][100/118]\tTime 0.541 (0.537)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [156][110/118]\tTime 0.515 (0.536)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.3654 (0.3654)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.149 (0.165)\tLoss 0.2691 (0.3612)\tPrec@1 92.969 (92.436)\n",
      "Test: [20/157]\tTime 0.154 (0.162)\tLoss 0.3193 (0.3436)\tPrec@1 93.359 (92.950)\n",
      "Test: [30/157]\tTime 0.175 (0.160)\tLoss 0.4412 (0.3431)\tPrec@1 92.188 (92.805)\n",
      "Test: [40/157]\tTime 0.173 (0.162)\tLoss 0.2894 (0.3387)\tPrec@1 94.531 (93.102)\n",
      "Test: [50/157]\tTime 0.156 (0.161)\tLoss 0.4174 (0.3427)\tPrec@1 91.016 (93.076)\n",
      "Test: [60/157]\tTime 0.154 (0.161)\tLoss 0.4128 (0.3414)\tPrec@1 91.016 (93.046)\n",
      "Test: [70/157]\tTime 0.167 (0.162)\tLoss 0.3290 (0.3362)\tPrec@1 91.406 (93.128)\n",
      "Test: [80/157]\tTime 0.145 (0.161)\tLoss 0.3039 (0.3329)\tPrec@1 93.750 (93.113)\n",
      "Test: [90/157]\tTime 0.145 (0.161)\tLoss 0.3252 (0.3316)\tPrec@1 92.969 (93.123)\n",
      "Test: [100/157]\tTime 0.176 (0.160)\tLoss 0.3618 (0.3298)\tPrec@1 92.578 (93.139)\n",
      "Test: [110/157]\tTime 0.175 (0.159)\tLoss 0.4571 (0.3330)\tPrec@1 89.844 (93.074)\n",
      "Test: [120/157]\tTime 0.148 (0.159)\tLoss 0.2301 (0.3282)\tPrec@1 94.922 (93.166)\n",
      "Test: [130/157]\tTime 0.148 (0.159)\tLoss 0.3605 (0.3259)\tPrec@1 93.359 (93.195)\n",
      "Test: [140/157]\tTime 0.163 (0.159)\tLoss 0.4049 (0.3238)\tPrec@1 92.578 (93.254)\n",
      "Test: [150/157]\tTime 0.145 (0.158)\tLoss 0.2833 (0.3251)\tPrec@1 93.750 (93.233)\n",
      " * Prec@1 93.215\n",
      "Epoch: [157][0/118]\tTime 0.276 (0.276)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][10/118]\tTime 0.515 (0.506)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][20/118]\tTime 0.497 (0.517)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][30/118]\tTime 0.554 (0.522)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][40/118]\tTime 0.537 (0.523)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][50/118]\tTime 0.573 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][60/118]\tTime 0.545 (0.525)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][70/118]\tTime 0.527 (0.526)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][80/118]\tTime 0.511 (0.528)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][90/118]\tTime 0.544 (0.528)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][100/118]\tTime 0.540 (0.528)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [157][110/118]\tTime 0.570 (0.530)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.341 (0.341)\tLoss 0.2865 (0.2865)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.153 (0.168)\tLoss 0.3143 (0.3146)\tPrec@1 93.359 (93.217)\n",
      "Test: [20/157]\tTime 0.149 (0.165)\tLoss 0.3502 (0.3126)\tPrec@1 92.969 (93.266)\n",
      "Test: [30/157]\tTime 0.158 (0.161)\tLoss 0.4029 (0.3038)\tPrec@1 91.016 (93.586)\n",
      "Test: [40/157]\tTime 0.153 (0.158)\tLoss 0.1882 (0.3081)\tPrec@1 93.750 (93.293)\n",
      "Test: [50/157]\tTime 0.163 (0.157)\tLoss 0.3794 (0.3179)\tPrec@1 92.969 (93.099)\n",
      "Test: [60/157]\tTime 0.147 (0.157)\tLoss 0.1969 (0.3105)\tPrec@1 94.922 (93.283)\n",
      "Test: [70/157]\tTime 0.142 (0.158)\tLoss 0.3574 (0.3140)\tPrec@1 92.578 (93.288)\n",
      "Test: [80/157]\tTime 0.157 (0.157)\tLoss 0.2575 (0.3188)\tPrec@1 94.531 (93.210)\n",
      "Test: [90/157]\tTime 0.171 (0.157)\tLoss 0.3400 (0.3210)\tPrec@1 92.578 (93.188)\n",
      "Test: [100/157]\tTime 0.151 (0.156)\tLoss 0.5074 (0.3187)\tPrec@1 89.844 (93.236)\n",
      "Test: [110/157]\tTime 0.149 (0.156)\tLoss 0.3227 (0.3200)\tPrec@1 91.406 (93.233)\n",
      "Test: [120/157]\tTime 0.155 (0.156)\tLoss 0.3847 (0.3209)\tPrec@1 92.188 (93.230)\n",
      "Test: [130/157]\tTime 0.160 (0.156)\tLoss 0.1759 (0.3230)\tPrec@1 94.141 (93.201)\n",
      "Test: [140/157]\tTime 0.143 (0.155)\tLoss 0.1683 (0.3225)\tPrec@1 94.922 (93.171)\n",
      "Test: [150/157]\tTime 0.169 (0.155)\tLoss 0.3725 (0.3240)\tPrec@1 92.578 (93.158)\n",
      " * Prec@1 93.177\n",
      "Epoch: [158][0/118]\tTime 0.255 (0.255)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][10/118]\tTime 0.505 (0.514)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][20/118]\tTime 0.515 (0.520)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][30/118]\tTime 0.550 (0.521)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][40/118]\tTime 0.504 (0.521)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][50/118]\tTime 0.530 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][60/118]\tTime 0.534 (0.525)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][70/118]\tTime 0.500 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][80/118]\tTime 0.533 (0.526)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][90/118]\tTime 0.529 (0.526)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [158][100/118]\tTime 0.525 (0.526)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [158][110/118]\tTime 0.544 (0.526)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.293 (0.293)\tLoss 0.3745 (0.3745)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.146 (0.168)\tLoss 0.2840 (0.2932)\tPrec@1 94.531 (93.501)\n",
      "Test: [20/157]\tTime 0.144 (0.158)\tLoss 0.2359 (0.2928)\tPrec@1 94.141 (93.452)\n",
      "Test: [30/157]\tTime 0.151 (0.157)\tLoss 0.3905 (0.3028)\tPrec@1 92.188 (93.485)\n",
      "Test: [40/157]\tTime 0.145 (0.156)\tLoss 0.3957 (0.3116)\tPrec@1 93.359 (93.426)\n",
      "Test: [50/157]\tTime 0.143 (0.155)\tLoss 0.2953 (0.3137)\tPrec@1 93.359 (93.359)\n",
      "Test: [60/157]\tTime 0.149 (0.153)\tLoss 0.2653 (0.3146)\tPrec@1 94.531 (93.372)\n",
      "Test: [70/157]\tTime 0.152 (0.153)\tLoss 0.3419 (0.3184)\tPrec@1 91.406 (93.304)\n",
      "Test: [80/157]\tTime 0.150 (0.153)\tLoss 0.3797 (0.3154)\tPrec@1 91.016 (93.335)\n",
      "Test: [90/157]\tTime 0.151 (0.153)\tLoss 0.3343 (0.3202)\tPrec@1 91.797 (93.248)\n",
      "Test: [100/157]\tTime 0.152 (0.153)\tLoss 0.3435 (0.3185)\tPrec@1 93.750 (93.313)\n",
      "Test: [110/157]\tTime 0.149 (0.153)\tLoss 0.4461 (0.3228)\tPrec@1 90.625 (93.226)\n",
      "Test: [120/157]\tTime 0.146 (0.153)\tLoss 0.2443 (0.3226)\tPrec@1 95.703 (93.246)\n",
      "Test: [130/157]\tTime 0.154 (0.153)\tLoss 0.1711 (0.3234)\tPrec@1 96.484 (93.249)\n",
      "Test: [140/157]\tTime 0.151 (0.153)\tLoss 0.3876 (0.3229)\tPrec@1 90.234 (93.218)\n",
      "Test: [150/157]\tTime 0.148 (0.153)\tLoss 0.1930 (0.3224)\tPrec@1 95.312 (93.233)\n",
      " * Prec@1 93.192\n",
      "Epoch: [159][0/118]\tTime 0.256 (0.256)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][10/118]\tTime 0.508 (0.512)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][20/118]\tTime 0.520 (0.515)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][30/118]\tTime 0.510 (0.520)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][40/118]\tTime 0.567 (0.523)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][50/118]\tTime 0.503 (0.522)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][60/118]\tTime 0.544 (0.525)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][70/118]\tTime 0.529 (0.526)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][80/118]\tTime 0.522 (0.526)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][90/118]\tTime 0.563 (0.526)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][100/118]\tTime 0.504 (0.527)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [159][110/118]\tTime 0.557 (0.528)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.4591 (0.4591)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.170 (0.164)\tLoss 0.4045 (0.3588)\tPrec@1 91.797 (92.791)\n",
      "Test: [20/157]\tTime 0.145 (0.157)\tLoss 0.2873 (0.3363)\tPrec@1 93.359 (93.006)\n",
      "Test: [30/157]\tTime 0.157 (0.156)\tLoss 0.2016 (0.3301)\tPrec@1 94.922 (93.007)\n",
      "Test: [40/157]\tTime 0.143 (0.155)\tLoss 0.4140 (0.3226)\tPrec@1 92.578 (93.045)\n",
      "Test: [50/157]\tTime 0.155 (0.154)\tLoss 0.2577 (0.3312)\tPrec@1 94.141 (92.923)\n",
      "Test: [60/157]\tTime 0.153 (0.153)\tLoss 0.2624 (0.3330)\tPrec@1 94.141 (92.950)\n",
      "Test: [70/157]\tTime 0.145 (0.154)\tLoss 0.3393 (0.3259)\tPrec@1 93.750 (93.139)\n",
      "Test: [80/157]\tTime 0.143 (0.154)\tLoss 0.2542 (0.3213)\tPrec@1 93.750 (93.215)\n",
      "Test: [90/157]\tTime 0.147 (0.154)\tLoss 0.3425 (0.3239)\tPrec@1 91.406 (93.158)\n",
      "Test: [100/157]\tTime 0.141 (0.155)\tLoss 0.3924 (0.3241)\tPrec@1 91.797 (93.193)\n",
      "Test: [110/157]\tTime 0.165 (0.155)\tLoss 0.4731 (0.3294)\tPrec@1 90.625 (93.145)\n",
      "Test: [120/157]\tTime 0.157 (0.155)\tLoss 0.1555 (0.3289)\tPrec@1 95.703 (93.137)\n",
      "Test: [130/157]\tTime 0.149 (0.154)\tLoss 0.3467 (0.3270)\tPrec@1 92.578 (93.172)\n",
      "Test: [140/157]\tTime 0.142 (0.154)\tLoss 0.3207 (0.3256)\tPrec@1 92.969 (93.182)\n",
      "Test: [150/157]\tTime 0.145 (0.154)\tLoss 0.2973 (0.3272)\tPrec@1 92.969 (93.181)\n",
      " * Prec@1 93.203\n",
      "Epoch: [160][0/118]\tTime 0.267 (0.267)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][10/118]\tTime 0.503 (0.509)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][20/118]\tTime 0.520 (0.515)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][30/118]\tTime 0.511 (0.520)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][40/118]\tTime 0.515 (0.522)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][50/118]\tTime 0.519 (0.522)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][60/118]\tTime 0.541 (0.524)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][70/118]\tTime 0.526 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][80/118]\tTime 0.527 (0.525)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][90/118]\tTime 0.512 (0.524)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][100/118]\tTime 0.526 (0.525)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [160][110/118]\tTime 0.535 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.281 (0.281)\tLoss 0.3063 (0.3063)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.166 (0.172)\tLoss 0.2174 (0.2917)\tPrec@1 94.922 (93.679)\n",
      "Test: [20/157]\tTime 0.144 (0.166)\tLoss 0.4252 (0.3131)\tPrec@1 92.188 (93.471)\n",
      "Test: [30/157]\tTime 0.145 (0.160)\tLoss 0.4065 (0.3104)\tPrec@1 91.016 (93.359)\n",
      "Test: [40/157]\tTime 0.146 (0.157)\tLoss 0.3424 (0.3128)\tPrec@1 92.969 (93.302)\n",
      "Test: [50/157]\tTime 0.149 (0.157)\tLoss 0.4079 (0.3222)\tPrec@1 92.188 (93.076)\n",
      "Test: [60/157]\tTime 0.145 (0.156)\tLoss 0.2913 (0.3247)\tPrec@1 94.141 (93.052)\n",
      "Test: [70/157]\tTime 0.147 (0.155)\tLoss 0.2267 (0.3240)\tPrec@1 95.312 (93.068)\n",
      "Test: [80/157]\tTime 0.149 (0.155)\tLoss 0.3967 (0.3268)\tPrec@1 92.578 (93.012)\n",
      "Test: [90/157]\tTime 0.144 (0.155)\tLoss 0.2824 (0.3295)\tPrec@1 94.531 (93.059)\n",
      "Test: [100/157]\tTime 0.148 (0.154)\tLoss 0.2306 (0.3272)\tPrec@1 95.312 (93.139)\n",
      "Test: [110/157]\tTime 0.175 (0.154)\tLoss 0.2655 (0.3267)\tPrec@1 94.531 (93.176)\n",
      "Test: [120/157]\tTime 0.148 (0.154)\tLoss 0.3230 (0.3265)\tPrec@1 92.188 (93.195)\n",
      "Test: [130/157]\tTime 0.153 (0.154)\tLoss 0.2648 (0.3281)\tPrec@1 93.750 (93.169)\n",
      "Test: [140/157]\tTime 0.145 (0.153)\tLoss 0.2130 (0.3283)\tPrec@1 96.094 (93.185)\n",
      "Test: [150/157]\tTime 0.146 (0.153)\tLoss 0.2091 (0.3294)\tPrec@1 95.312 (93.173)\n",
      " * Prec@1 93.168\n",
      "Epoch: [161][0/118]\tTime 0.246 (0.246)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][10/118]\tTime 0.499 (0.496)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][20/118]\tTime 0.561 (0.514)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][30/118]\tTime 0.508 (0.519)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][40/118]\tTime 0.536 (0.520)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][50/118]\tTime 0.518 (0.520)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][60/118]\tTime 0.492 (0.521)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][70/118]\tTime 0.520 (0.523)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][80/118]\tTime 0.527 (0.523)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][90/118]\tTime 0.553 (0.524)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][100/118]\tTime 0.508 (0.524)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [161][110/118]\tTime 0.524 (0.524)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.290 (0.290)\tLoss 0.5378 (0.5378)\tPrec@1 89.844 (89.844)\n",
      "Test: [10/157]\tTime 0.154 (0.162)\tLoss 0.2768 (0.3219)\tPrec@1 93.750 (93.217)\n",
      "Test: [20/157]\tTime 0.147 (0.158)\tLoss 0.4086 (0.3354)\tPrec@1 92.188 (93.099)\n",
      "Test: [30/157]\tTime 0.153 (0.156)\tLoss 0.2618 (0.3328)\tPrec@1 94.531 (93.095)\n",
      "Test: [40/157]\tTime 0.153 (0.157)\tLoss 0.2593 (0.3378)\tPrec@1 94.922 (93.016)\n",
      "Test: [50/157]\tTime 0.147 (0.156)\tLoss 0.3201 (0.3328)\tPrec@1 94.141 (93.130)\n",
      "Test: [60/157]\tTime 0.149 (0.157)\tLoss 0.4598 (0.3276)\tPrec@1 92.188 (93.154)\n",
      "Test: [70/157]\tTime 0.151 (0.156)\tLoss 0.3055 (0.3287)\tPrec@1 92.578 (93.095)\n",
      "Test: [80/157]\tTime 0.149 (0.156)\tLoss 0.2743 (0.3283)\tPrec@1 93.750 (93.084)\n",
      "Test: [90/157]\tTime 0.142 (0.155)\tLoss 0.3196 (0.3303)\tPrec@1 92.969 (93.046)\n",
      "Test: [100/157]\tTime 0.150 (0.154)\tLoss 0.3020 (0.3277)\tPrec@1 94.141 (93.093)\n",
      "Test: [110/157]\tTime 0.158 (0.154)\tLoss 0.1885 (0.3293)\tPrec@1 95.703 (93.067)\n",
      "Test: [120/157]\tTime 0.148 (0.154)\tLoss 0.2072 (0.3249)\tPrec@1 94.922 (93.162)\n",
      "Test: [130/157]\tTime 0.171 (0.154)\tLoss 0.2513 (0.3234)\tPrec@1 94.922 (93.180)\n",
      "Test: [140/157]\tTime 0.173 (0.154)\tLoss 0.2882 (0.3240)\tPrec@1 94.531 (93.193)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.154 (0.154)\tLoss 0.3808 (0.3212)\tPrec@1 92.188 (93.217)\n",
      " * Prec@1 93.237\n",
      "Epoch: [162][0/118]\tTime 0.265 (0.265)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][10/118]\tTime 0.494 (0.503)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][20/118]\tTime 0.541 (0.514)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][30/118]\tTime 0.550 (0.518)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][40/118]\tTime 0.526 (0.519)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][50/118]\tTime 0.501 (0.520)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][60/118]\tTime 0.517 (0.521)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][70/118]\tTime 0.552 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][80/118]\tTime 0.530 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][90/118]\tTime 0.495 (0.526)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][100/118]\tTime 0.533 (0.525)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [162][110/118]\tTime 0.524 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.310 (0.310)\tLoss 0.3373 (0.3373)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.157 (0.176)\tLoss 0.3859 (0.3309)\tPrec@1 92.578 (93.786)\n",
      "Test: [20/157]\tTime 0.143 (0.163)\tLoss 0.2912 (0.3274)\tPrec@1 94.531 (93.378)\n",
      "Test: [30/157]\tTime 0.151 (0.159)\tLoss 0.4005 (0.3319)\tPrec@1 92.969 (93.284)\n",
      "Test: [40/157]\tTime 0.140 (0.158)\tLoss 0.4023 (0.3310)\tPrec@1 91.406 (93.169)\n",
      "Test: [50/157]\tTime 0.141 (0.156)\tLoss 0.3412 (0.3293)\tPrec@1 92.578 (93.122)\n",
      "Test: [60/157]\tTime 0.155 (0.156)\tLoss 0.2824 (0.3253)\tPrec@1 94.141 (93.180)\n",
      "Test: [70/157]\tTime 0.143 (0.155)\tLoss 0.3392 (0.3257)\tPrec@1 92.188 (93.183)\n",
      "Test: [80/157]\tTime 0.175 (0.155)\tLoss 0.3043 (0.3242)\tPrec@1 94.531 (93.220)\n",
      "Test: [90/157]\tTime 0.148 (0.154)\tLoss 0.2766 (0.3308)\tPrec@1 92.969 (93.119)\n",
      "Test: [100/157]\tTime 0.147 (0.154)\tLoss 0.3302 (0.3293)\tPrec@1 92.969 (93.112)\n",
      "Test: [110/157]\tTime 0.152 (0.154)\tLoss 0.2957 (0.3266)\tPrec@1 94.922 (93.148)\n",
      "Test: [120/157]\tTime 0.146 (0.154)\tLoss 0.2379 (0.3248)\tPrec@1 96.094 (93.143)\n",
      "Test: [130/157]\tTime 0.163 (0.154)\tLoss 0.2819 (0.3235)\tPrec@1 94.141 (93.180)\n",
      "Test: [140/157]\tTime 0.145 (0.153)\tLoss 0.3838 (0.3242)\tPrec@1 92.578 (93.163)\n",
      "Test: [150/157]\tTime 0.146 (0.153)\tLoss 0.2856 (0.3219)\tPrec@1 93.750 (93.222)\n",
      " * Prec@1 93.210\n",
      "Epoch: [163][0/118]\tTime 0.248 (0.248)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][10/118]\tTime 0.503 (0.498)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][20/118]\tTime 0.532 (0.510)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][30/118]\tTime 0.494 (0.513)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][40/118]\tTime 0.526 (0.516)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][50/118]\tTime 0.509 (0.519)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][60/118]\tTime 0.549 (0.520)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][70/118]\tTime 0.530 (0.520)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][80/118]\tTime 0.530 (0.520)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][90/118]\tTime 0.554 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][100/118]\tTime 0.520 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [163][110/118]\tTime 0.549 (0.523)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.288 (0.288)\tLoss 0.3563 (0.3563)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.170 (0.167)\tLoss 0.2359 (0.3036)\tPrec@1 94.141 (93.324)\n",
      "Test: [20/157]\tTime 0.144 (0.159)\tLoss 0.2673 (0.3043)\tPrec@1 94.531 (93.527)\n",
      "Test: [30/157]\tTime 0.149 (0.159)\tLoss 0.4238 (0.3030)\tPrec@1 92.578 (93.536)\n",
      "Test: [40/157]\tTime 0.144 (0.157)\tLoss 0.3711 (0.3139)\tPrec@1 92.188 (93.283)\n",
      "Test: [50/157]\tTime 0.146 (0.156)\tLoss 0.3570 (0.3235)\tPrec@1 93.359 (93.153)\n",
      "Test: [60/157]\tTime 0.149 (0.156)\tLoss 0.2867 (0.3310)\tPrec@1 94.141 (93.033)\n",
      "Test: [70/157]\tTime 0.154 (0.155)\tLoss 0.4120 (0.3265)\tPrec@1 90.234 (93.062)\n",
      "Test: [80/157]\tTime 0.141 (0.156)\tLoss 0.4309 (0.3269)\tPrec@1 92.188 (93.109)\n",
      "Test: [90/157]\tTime 0.176 (0.155)\tLoss 0.3211 (0.3249)\tPrec@1 92.578 (93.145)\n",
      "Test: [100/157]\tTime 0.155 (0.156)\tLoss 0.2243 (0.3247)\tPrec@1 94.141 (93.154)\n",
      "Test: [110/157]\tTime 0.146 (0.156)\tLoss 0.3473 (0.3237)\tPrec@1 92.188 (93.176)\n",
      "Test: [120/157]\tTime 0.144 (0.156)\tLoss 0.4568 (0.3268)\tPrec@1 90.234 (93.140)\n",
      "Test: [130/157]\tTime 0.142 (0.155)\tLoss 0.2195 (0.3262)\tPrec@1 95.703 (93.160)\n",
      "Test: [140/157]\tTime 0.165 (0.155)\tLoss 0.4318 (0.3286)\tPrec@1 91.406 (93.129)\n",
      "Test: [150/157]\tTime 0.143 (0.155)\tLoss 0.3474 (0.3251)\tPrec@1 94.531 (93.209)\n",
      " * Prec@1 93.230\n",
      "Epoch: [164][0/118]\tTime 0.250 (0.250)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][10/118]\tTime 0.533 (0.505)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][20/118]\tTime 0.539 (0.516)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][30/118]\tTime 0.558 (0.521)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][40/118]\tTime 0.528 (0.523)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][50/118]\tTime 0.503 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][60/118]\tTime 0.505 (0.524)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][70/118]\tTime 0.505 (0.524)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][80/118]\tTime 0.503 (0.523)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][90/118]\tTime 0.531 (0.525)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][100/118]\tTime 0.500 (0.524)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [164][110/118]\tTime 0.548 (0.525)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.282 (0.282)\tLoss 0.4179 (0.4179)\tPrec@1 90.234 (90.234)\n",
      "Test: [10/157]\tTime 0.165 (0.166)\tLoss 0.2682 (0.3332)\tPrec@1 95.312 (92.898)\n",
      "Test: [20/157]\tTime 0.157 (0.161)\tLoss 0.3509 (0.3285)\tPrec@1 93.750 (92.839)\n",
      "Test: [30/157]\tTime 0.144 (0.157)\tLoss 0.3722 (0.3257)\tPrec@1 92.578 (92.918)\n",
      "Test: [40/157]\tTime 0.145 (0.156)\tLoss 0.3495 (0.3240)\tPrec@1 94.141 (93.045)\n",
      "Test: [50/157]\tTime 0.158 (0.156)\tLoss 0.3152 (0.3200)\tPrec@1 92.969 (93.137)\n",
      "Test: [60/157]\tTime 0.168 (0.155)\tLoss 0.3692 (0.3213)\tPrec@1 92.969 (93.135)\n",
      "Test: [70/157]\tTime 0.184 (0.155)\tLoss 0.2071 (0.3184)\tPrec@1 93.359 (93.167)\n",
      "Test: [80/157]\tTime 0.147 (0.155)\tLoss 0.4688 (0.3194)\tPrec@1 90.625 (93.152)\n",
      "Test: [90/157]\tTime 0.147 (0.154)\tLoss 0.4258 (0.3267)\tPrec@1 91.797 (93.072)\n",
      "Test: [100/157]\tTime 0.148 (0.154)\tLoss 0.3255 (0.3244)\tPrec@1 93.359 (93.089)\n",
      "Test: [110/157]\tTime 0.157 (0.154)\tLoss 0.1840 (0.3192)\tPrec@1 95.703 (93.187)\n",
      "Test: [120/157]\tTime 0.145 (0.154)\tLoss 0.1935 (0.3173)\tPrec@1 94.531 (93.237)\n",
      "Test: [130/157]\tTime 0.147 (0.154)\tLoss 0.5001 (0.3204)\tPrec@1 90.234 (93.201)\n",
      "Test: [140/157]\tTime 0.147 (0.154)\tLoss 0.2591 (0.3188)\tPrec@1 94.922 (93.235)\n",
      "Test: [150/157]\tTime 0.148 (0.154)\tLoss 0.3476 (0.3182)\tPrec@1 91.016 (93.217)\n",
      " * Prec@1 93.192\n",
      "Epoch: [165][0/118]\tTime 0.278 (0.278)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][10/118]\tTime 0.533 (0.505)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][20/118]\tTime 0.523 (0.519)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][30/118]\tTime 0.511 (0.518)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][40/118]\tTime 0.589 (0.523)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][50/118]\tTime 0.521 (0.525)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][60/118]\tTime 0.526 (0.525)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][70/118]\tTime 0.544 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][80/118]\tTime 0.517 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][90/118]\tTime 0.556 (0.525)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][100/118]\tTime 0.534 (0.524)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [165][110/118]\tTime 0.541 (0.524)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.299 (0.299)\tLoss 0.2521 (0.2521)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.145 (0.166)\tLoss 0.2915 (0.2909)\tPrec@1 94.141 (93.963)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [20/157]\tTime 0.159 (0.163)\tLoss 0.4483 (0.3018)\tPrec@1 91.016 (93.806)\n",
      "Test: [30/157]\tTime 0.153 (0.159)\tLoss 0.2648 (0.3038)\tPrec@1 94.531 (93.725)\n",
      "Test: [40/157]\tTime 0.163 (0.157)\tLoss 0.2892 (0.3045)\tPrec@1 94.922 (93.712)\n",
      "Test: [50/157]\tTime 0.144 (0.156)\tLoss 0.1997 (0.3108)\tPrec@1 95.703 (93.574)\n",
      "Test: [60/157]\tTime 0.170 (0.155)\tLoss 0.3518 (0.3166)\tPrec@1 93.750 (93.391)\n",
      "Test: [70/157]\tTime 0.178 (0.155)\tLoss 0.1640 (0.3181)\tPrec@1 95.703 (93.420)\n",
      "Test: [80/157]\tTime 0.146 (0.154)\tLoss 0.4816 (0.3208)\tPrec@1 89.844 (93.364)\n",
      "Test: [90/157]\tTime 0.169 (0.154)\tLoss 0.4314 (0.3203)\tPrec@1 91.016 (93.368)\n",
      "Test: [100/157]\tTime 0.147 (0.154)\tLoss 0.2852 (0.3184)\tPrec@1 92.578 (93.394)\n",
      "Test: [110/157]\tTime 0.156 (0.155)\tLoss 0.4067 (0.3206)\tPrec@1 92.578 (93.356)\n",
      "Test: [120/157]\tTime 0.158 (0.155)\tLoss 0.2349 (0.3223)\tPrec@1 93.750 (93.327)\n",
      "Test: [130/157]\tTime 0.174 (0.155)\tLoss 0.3714 (0.3243)\tPrec@1 92.188 (93.294)\n",
      "Test: [140/157]\tTime 0.158 (0.155)\tLoss 0.3197 (0.3268)\tPrec@1 94.922 (93.224)\n",
      "Test: [150/157]\tTime 0.143 (0.155)\tLoss 0.2468 (0.3301)\tPrec@1 94.141 (93.152)\n",
      " * Prec@1 93.183\n",
      "Epoch: [166][0/118]\tTime 0.279 (0.279)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][10/118]\tTime 0.513 (0.503)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][20/118]\tTime 0.568 (0.516)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][30/118]\tTime 0.512 (0.518)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][40/118]\tTime 0.512 (0.521)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][50/118]\tTime 0.505 (0.520)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][60/118]\tTime 0.505 (0.520)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][70/118]\tTime 0.533 (0.521)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][80/118]\tTime 0.535 (0.521)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][90/118]\tTime 0.521 (0.522)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][100/118]\tTime 0.517 (0.523)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [166][110/118]\tTime 0.540 (0.523)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.297 (0.297)\tLoss 0.2948 (0.2948)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.152 (0.169)\tLoss 0.2438 (0.3270)\tPrec@1 94.922 (93.288)\n",
      "Test: [20/157]\tTime 0.148 (0.163)\tLoss 0.2969 (0.3268)\tPrec@1 94.141 (93.248)\n",
      "Test: [30/157]\tTime 0.175 (0.161)\tLoss 0.5512 (0.3352)\tPrec@1 88.672 (93.057)\n",
      "Test: [40/157]\tTime 0.152 (0.159)\tLoss 0.2602 (0.3363)\tPrec@1 93.750 (93.016)\n",
      "Test: [50/157]\tTime 0.169 (0.158)\tLoss 0.2952 (0.3319)\tPrec@1 93.750 (93.084)\n",
      "Test: [60/157]\tTime 0.158 (0.157)\tLoss 0.2774 (0.3299)\tPrec@1 93.359 (93.090)\n",
      "Test: [70/157]\tTime 0.160 (0.157)\tLoss 0.3284 (0.3299)\tPrec@1 92.969 (93.090)\n",
      "Test: [80/157]\tTime 0.149 (0.156)\tLoss 0.3735 (0.3314)\tPrec@1 92.188 (93.089)\n",
      "Test: [90/157]\tTime 0.151 (0.156)\tLoss 0.4102 (0.3323)\tPrec@1 92.969 (93.050)\n",
      "Test: [100/157]\tTime 0.149 (0.155)\tLoss 0.2275 (0.3309)\tPrec@1 94.531 (93.096)\n",
      "Test: [110/157]\tTime 0.154 (0.156)\tLoss 0.3053 (0.3279)\tPrec@1 92.578 (93.183)\n",
      "Test: [120/157]\tTime 0.148 (0.155)\tLoss 0.3298 (0.3292)\tPrec@1 92.578 (93.166)\n",
      "Test: [130/157]\tTime 0.158 (0.155)\tLoss 0.2609 (0.3299)\tPrec@1 94.922 (93.163)\n",
      "Test: [140/157]\tTime 0.159 (0.155)\tLoss 0.3638 (0.3284)\tPrec@1 92.578 (93.204)\n",
      "Test: [150/157]\tTime 0.145 (0.155)\tLoss 0.3011 (0.3261)\tPrec@1 93.750 (93.253)\n",
      " * Prec@1 93.243\n",
      "Epoch: [167][0/118]\tTime 0.252 (0.252)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][10/118]\tTime 0.516 (0.519)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][20/118]\tTime 0.569 (0.523)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][30/118]\tTime 0.523 (0.528)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][40/118]\tTime 0.496 (0.527)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][50/118]\tTime 0.505 (0.525)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][60/118]\tTime 0.554 (0.529)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][70/118]\tTime 0.529 (0.527)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][80/118]\tTime 0.512 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][90/118]\tTime 0.535 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][100/118]\tTime 0.513 (0.527)\tLoss 0.0021 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [167][110/118]\tTime 0.522 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.295 (0.295)\tLoss 0.3741 (0.3741)\tPrec@1 90.234 (90.234)\n",
      "Test: [10/157]\tTime 0.155 (0.164)\tLoss 0.3637 (0.3126)\tPrec@1 92.188 (93.324)\n",
      "Test: [20/157]\tTime 0.174 (0.161)\tLoss 0.3468 (0.3057)\tPrec@1 91.797 (93.527)\n",
      "Test: [30/157]\tTime 0.143 (0.158)\tLoss 0.2900 (0.3142)\tPrec@1 94.922 (93.334)\n",
      "Test: [40/157]\tTime 0.154 (0.158)\tLoss 0.3631 (0.3168)\tPrec@1 93.750 (93.331)\n",
      "Test: [50/157]\tTime 0.148 (0.157)\tLoss 0.3179 (0.3208)\tPrec@1 92.578 (93.244)\n",
      "Test: [60/157]\tTime 0.168 (0.157)\tLoss 0.5066 (0.3226)\tPrec@1 91.016 (93.212)\n",
      "Test: [70/157]\tTime 0.142 (0.157)\tLoss 0.3977 (0.3251)\tPrec@1 92.578 (93.200)\n",
      "Test: [80/157]\tTime 0.145 (0.156)\tLoss 0.2772 (0.3255)\tPrec@1 94.141 (93.195)\n",
      "Test: [90/157]\tTime 0.142 (0.156)\tLoss 0.2764 (0.3277)\tPrec@1 94.922 (93.192)\n",
      "Test: [100/157]\tTime 0.142 (0.156)\tLoss 0.2820 (0.3288)\tPrec@1 94.141 (93.143)\n",
      "Test: [110/157]\tTime 0.157 (0.156)\tLoss 0.3775 (0.3277)\tPrec@1 91.016 (93.138)\n",
      "Test: [120/157]\tTime 0.152 (0.156)\tLoss 0.4507 (0.3279)\tPrec@1 91.406 (93.166)\n",
      "Test: [130/157]\tTime 0.181 (0.156)\tLoss 0.3683 (0.3297)\tPrec@1 92.188 (93.124)\n",
      "Test: [140/157]\tTime 0.169 (0.156)\tLoss 0.2390 (0.3267)\tPrec@1 95.703 (93.182)\n",
      "Test: [150/157]\tTime 0.148 (0.156)\tLoss 0.2838 (0.3248)\tPrec@1 93.750 (93.202)\n",
      " * Prec@1 93.233\n",
      "Epoch: [168][0/118]\tTime 0.256 (0.256)\tLoss 0.0018 (0.0018)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][10/118]\tTime 0.519 (0.498)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][20/118]\tTime 0.500 (0.510)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][30/118]\tTime 0.529 (0.515)\tLoss 0.0018 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][40/118]\tTime 0.507 (0.519)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][50/118]\tTime 0.516 (0.519)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][60/118]\tTime 0.515 (0.521)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][70/118]\tTime 0.554 (0.523)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][80/118]\tTime 0.497 (0.523)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][90/118]\tTime 0.531 (0.524)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][100/118]\tTime 0.503 (0.524)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [168][110/118]\tTime 0.534 (0.525)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.289 (0.289)\tLoss 0.2795 (0.2795)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.156 (0.166)\tLoss 0.3339 (0.3306)\tPrec@1 93.359 (93.040)\n",
      "Test: [20/157]\tTime 0.148 (0.158)\tLoss 0.5520 (0.3315)\tPrec@1 90.625 (93.211)\n",
      "Test: [30/157]\tTime 0.153 (0.155)\tLoss 0.3128 (0.3299)\tPrec@1 93.359 (93.120)\n",
      "Test: [40/157]\tTime 0.148 (0.156)\tLoss 0.4935 (0.3296)\tPrec@1 91.797 (93.093)\n",
      "Test: [50/157]\tTime 0.161 (0.155)\tLoss 0.2737 (0.3275)\tPrec@1 94.531 (93.015)\n",
      "Test: [60/157]\tTime 0.150 (0.154)\tLoss 0.2848 (0.3187)\tPrec@1 93.750 (93.174)\n",
      "Test: [70/157]\tTime 0.174 (0.154)\tLoss 0.4366 (0.3239)\tPrec@1 91.406 (93.178)\n",
      "Test: [80/157]\tTime 0.166 (0.154)\tLoss 0.3109 (0.3206)\tPrec@1 94.531 (93.205)\n",
      "Test: [90/157]\tTime 0.161 (0.154)\tLoss 0.3412 (0.3256)\tPrec@1 93.359 (93.153)\n",
      "Test: [100/157]\tTime 0.154 (0.154)\tLoss 0.4150 (0.3279)\tPrec@1 92.188 (93.135)\n",
      "Test: [110/157]\tTime 0.148 (0.153)\tLoss 0.3246 (0.3279)\tPrec@1 92.969 (93.155)\n",
      "Test: [120/157]\tTime 0.148 (0.153)\tLoss 0.2969 (0.3260)\tPrec@1 94.531 (93.169)\n",
      "Test: [130/157]\tTime 0.151 (0.153)\tLoss 0.4314 (0.3257)\tPrec@1 91.016 (93.189)\n",
      "Test: [140/157]\tTime 0.145 (0.153)\tLoss 0.4803 (0.3275)\tPrec@1 90.234 (93.204)\n",
      "Test: [150/157]\tTime 0.151 (0.154)\tLoss 0.3521 (0.3263)\tPrec@1 92.188 (93.212)\n",
      " * Prec@1 93.220\n",
      "Epoch: [169][0/118]\tTime 0.264 (0.264)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][10/118]\tTime 0.547 (0.508)\tLoss 0.0019 (0.0015)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [169][20/118]\tTime 0.499 (0.518)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][30/118]\tTime 0.508 (0.521)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][40/118]\tTime 0.516 (0.522)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][50/118]\tTime 0.546 (0.525)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][60/118]\tTime 0.512 (0.526)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][70/118]\tTime 0.499 (0.526)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][80/118]\tTime 0.548 (0.526)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][90/118]\tTime 0.529 (0.526)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][100/118]\tTime 0.552 (0.526)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [169][110/118]\tTime 0.511 (0.526)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.286 (0.286)\tLoss 0.2869 (0.2869)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.168 (0.166)\tLoss 0.3448 (0.3430)\tPrec@1 91.016 (92.862)\n",
      "Test: [20/157]\tTime 0.144 (0.158)\tLoss 0.4296 (0.3239)\tPrec@1 91.406 (93.378)\n",
      "Test: [30/157]\tTime 0.140 (0.156)\tLoss 0.2180 (0.3328)\tPrec@1 94.141 (93.183)\n",
      "Test: [40/157]\tTime 0.146 (0.154)\tLoss 0.4776 (0.3429)\tPrec@1 92.188 (93.064)\n",
      "Test: [50/157]\tTime 0.146 (0.154)\tLoss 0.2858 (0.3410)\tPrec@1 93.750 (93.114)\n",
      "Test: [60/157]\tTime 0.153 (0.153)\tLoss 0.2985 (0.3353)\tPrec@1 93.359 (93.161)\n",
      "Test: [70/157]\tTime 0.145 (0.153)\tLoss 0.3703 (0.3332)\tPrec@1 91.797 (93.156)\n",
      "Test: [80/157]\tTime 0.158 (0.154)\tLoss 0.3296 (0.3339)\tPrec@1 94.141 (93.094)\n",
      "Test: [90/157]\tTime 0.167 (0.154)\tLoss 0.2544 (0.3320)\tPrec@1 93.359 (93.080)\n",
      "Test: [100/157]\tTime 0.147 (0.154)\tLoss 0.3841 (0.3319)\tPrec@1 92.188 (93.073)\n",
      "Test: [110/157]\tTime 0.149 (0.153)\tLoss 0.3176 (0.3329)\tPrec@1 92.578 (93.018)\n",
      "Test: [120/157]\tTime 0.151 (0.154)\tLoss 0.2527 (0.3342)\tPrec@1 93.750 (92.995)\n",
      "Test: [130/157]\tTime 0.154 (0.154)\tLoss 0.3299 (0.3315)\tPrec@1 92.969 (93.058)\n",
      "Test: [140/157]\tTime 0.144 (0.154)\tLoss 0.2174 (0.3269)\tPrec@1 96.094 (93.149)\n",
      "Test: [150/157]\tTime 0.143 (0.154)\tLoss 0.1713 (0.3265)\tPrec@1 95.312 (93.152)\n",
      " * Prec@1 93.190\n",
      "Epoch: [170][0/118]\tTime 0.258 (0.258)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][10/118]\tTime 0.513 (0.511)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][20/118]\tTime 0.540 (0.515)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][30/118]\tTime 0.519 (0.520)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][40/118]\tTime 0.509 (0.522)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][50/118]\tTime 0.534 (0.523)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][60/118]\tTime 0.534 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][70/118]\tTime 0.538 (0.525)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][80/118]\tTime 0.503 (0.525)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][90/118]\tTime 0.524 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][100/118]\tTime 0.544 (0.525)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [170][110/118]\tTime 0.512 (0.525)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.289 (0.289)\tLoss 0.3202 (0.3202)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.151 (0.172)\tLoss 0.2860 (0.3219)\tPrec@1 94.141 (93.643)\n",
      "Test: [20/157]\tTime 0.151 (0.162)\tLoss 0.2558 (0.3109)\tPrec@1 93.750 (93.564)\n",
      "Test: [30/157]\tTime 0.154 (0.160)\tLoss 0.1928 (0.3100)\tPrec@1 95.312 (93.322)\n",
      "Test: [40/157]\tTime 0.165 (0.158)\tLoss 0.4162 (0.3077)\tPrec@1 91.797 (93.331)\n",
      "Test: [50/157]\tTime 0.155 (0.157)\tLoss 0.4116 (0.3072)\tPrec@1 91.797 (93.321)\n",
      "Test: [60/157]\tTime 0.142 (0.156)\tLoss 0.3315 (0.3135)\tPrec@1 93.750 (93.257)\n",
      "Test: [70/157]\tTime 0.147 (0.155)\tLoss 0.3259 (0.3149)\tPrec@1 92.578 (93.233)\n",
      "Test: [80/157]\tTime 0.146 (0.155)\tLoss 0.3847 (0.3144)\tPrec@1 91.797 (93.273)\n",
      "Test: [90/157]\tTime 0.143 (0.155)\tLoss 0.4598 (0.3182)\tPrec@1 90.234 (93.248)\n",
      "Test: [100/157]\tTime 0.174 (0.155)\tLoss 0.3029 (0.3212)\tPrec@1 93.359 (93.205)\n",
      "Test: [110/157]\tTime 0.160 (0.155)\tLoss 0.4164 (0.3196)\tPrec@1 91.797 (93.215)\n",
      "Test: [120/157]\tTime 0.152 (0.155)\tLoss 0.3202 (0.3234)\tPrec@1 94.141 (93.150)\n",
      "Test: [130/157]\tTime 0.142 (0.154)\tLoss 0.3139 (0.3230)\tPrec@1 92.188 (93.172)\n",
      "Test: [140/157]\tTime 0.167 (0.155)\tLoss 0.3359 (0.3260)\tPrec@1 92.969 (93.129)\n",
      "Test: [150/157]\tTime 0.146 (0.154)\tLoss 0.2201 (0.3223)\tPrec@1 95.312 (93.212)\n",
      " * Prec@1 93.222\n",
      "Epoch: [171][0/118]\tTime 0.300 (0.300)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][10/118]\tTime 0.518 (0.538)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][20/118]\tTime 0.510 (0.531)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][30/118]\tTime 0.544 (0.530)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][40/118]\tTime 0.528 (0.529)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][50/118]\tTime 0.491 (0.527)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][60/118]\tTime 0.540 (0.526)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][70/118]\tTime 0.548 (0.526)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][80/118]\tTime 0.501 (0.527)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][90/118]\tTime 0.537 (0.528)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][100/118]\tTime 0.511 (0.527)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [171][110/118]\tTime 0.514 (0.528)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.311 (0.311)\tLoss 0.2635 (0.2635)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.147 (0.162)\tLoss 0.2338 (0.3052)\tPrec@1 94.531 (93.857)\n",
      "Test: [20/157]\tTime 0.152 (0.156)\tLoss 0.2883 (0.3093)\tPrec@1 94.531 (93.694)\n",
      "Test: [30/157]\tTime 0.161 (0.157)\tLoss 0.2890 (0.3244)\tPrec@1 93.359 (93.322)\n",
      "Test: [40/157]\tTime 0.172 (0.156)\tLoss 0.4283 (0.3257)\tPrec@1 91.797 (93.264)\n",
      "Test: [50/157]\tTime 0.144 (0.155)\tLoss 0.2435 (0.3188)\tPrec@1 94.531 (93.336)\n",
      "Test: [60/157]\tTime 0.146 (0.154)\tLoss 0.2809 (0.3272)\tPrec@1 93.359 (93.186)\n",
      "Test: [70/157]\tTime 0.140 (0.154)\tLoss 0.2685 (0.3313)\tPrec@1 93.750 (93.134)\n",
      "Test: [80/157]\tTime 0.144 (0.154)\tLoss 0.3299 (0.3346)\tPrec@1 92.969 (93.070)\n",
      "Test: [90/157]\tTime 0.146 (0.154)\tLoss 0.3766 (0.3344)\tPrec@1 91.797 (93.050)\n",
      "Test: [100/157]\tTime 0.159 (0.154)\tLoss 0.3882 (0.3377)\tPrec@1 92.969 (93.034)\n",
      "Test: [110/157]\tTime 0.150 (0.155)\tLoss 0.2395 (0.3332)\tPrec@1 96.484 (93.117)\n",
      "Test: [120/157]\tTime 0.145 (0.154)\tLoss 0.3388 (0.3297)\tPrec@1 92.969 (93.179)\n",
      "Test: [130/157]\tTime 0.183 (0.154)\tLoss 0.3555 (0.3292)\tPrec@1 93.750 (93.216)\n",
      "Test: [140/157]\tTime 0.146 (0.154)\tLoss 0.2553 (0.3264)\tPrec@1 94.531 (93.265)\n",
      "Test: [150/157]\tTime 0.147 (0.154)\tLoss 0.2527 (0.3254)\tPrec@1 95.312 (93.279)\n",
      " * Prec@1 93.263\n",
      "Epoch: [172][0/118]\tTime 0.260 (0.260)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][10/118]\tTime 0.544 (0.498)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][20/118]\tTime 0.521 (0.509)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][30/118]\tTime 0.531 (0.514)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][40/118]\tTime 0.510 (0.517)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][50/118]\tTime 0.530 (0.520)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][60/118]\tTime 0.501 (0.520)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][70/118]\tTime 0.555 (0.520)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][80/118]\tTime 0.515 (0.521)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][90/118]\tTime 0.552 (0.523)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][100/118]\tTime 0.553 (0.524)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [172][110/118]\tTime 0.565 (0.524)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.321 (0.321)\tLoss 0.3274 (0.3274)\tPrec@1 93.359 (93.359)\n",
      "Test: [10/157]\tTime 0.172 (0.172)\tLoss 0.2744 (0.2974)\tPrec@1 94.141 (93.786)\n",
      "Test: [20/157]\tTime 0.144 (0.163)\tLoss 0.2833 (0.3187)\tPrec@1 93.750 (93.415)\n",
      "Test: [30/157]\tTime 0.146 (0.160)\tLoss 0.3017 (0.3208)\tPrec@1 92.578 (93.259)\n",
      "Test: [40/157]\tTime 0.156 (0.160)\tLoss 0.2482 (0.3129)\tPrec@1 94.922 (93.407)\n",
      "Test: [50/157]\tTime 0.175 (0.160)\tLoss 0.2586 (0.3290)\tPrec@1 93.750 (93.145)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.165 (0.159)\tLoss 0.4253 (0.3251)\tPrec@1 92.969 (93.206)\n",
      "Test: [70/157]\tTime 0.149 (0.158)\tLoss 0.3582 (0.3229)\tPrec@1 92.578 (93.244)\n",
      "Test: [80/157]\tTime 0.145 (0.157)\tLoss 0.3171 (0.3248)\tPrec@1 92.578 (93.181)\n",
      "Test: [90/157]\tTime 0.142 (0.156)\tLoss 0.2885 (0.3259)\tPrec@1 92.188 (93.149)\n",
      "Test: [100/157]\tTime 0.147 (0.156)\tLoss 0.2883 (0.3262)\tPrec@1 94.922 (93.147)\n",
      "Test: [110/157]\tTime 0.167 (0.156)\tLoss 0.2587 (0.3242)\tPrec@1 93.359 (93.176)\n",
      "Test: [120/157]\tTime 0.153 (0.157)\tLoss 0.2931 (0.3236)\tPrec@1 93.359 (93.172)\n",
      "Test: [130/157]\tTime 0.158 (0.157)\tLoss 0.2633 (0.3242)\tPrec@1 93.359 (93.172)\n",
      "Test: [140/157]\tTime 0.166 (0.157)\tLoss 0.3298 (0.3245)\tPrec@1 91.797 (93.196)\n",
      "Test: [150/157]\tTime 0.146 (0.158)\tLoss 0.2682 (0.3239)\tPrec@1 94.141 (93.215)\n",
      " * Prec@1 93.205\n",
      "Epoch: [173][0/118]\tTime 0.257 (0.257)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][10/118]\tTime 0.560 (0.543)\tLoss 0.0021 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][20/118]\tTime 0.537 (0.534)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][30/118]\tTime 0.507 (0.530)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][40/118]\tTime 0.538 (0.529)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][50/118]\tTime 0.504 (0.527)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][60/118]\tTime 0.521 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][70/118]\tTime 0.516 (0.525)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][80/118]\tTime 0.557 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][90/118]\tTime 0.509 (0.526)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][100/118]\tTime 0.578 (0.526)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [173][110/118]\tTime 0.537 (0.526)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.333 (0.333)\tLoss 0.4666 (0.4666)\tPrec@1 91.016 (91.016)\n",
      "Test: [10/157]\tTime 0.145 (0.173)\tLoss 0.3258 (0.3620)\tPrec@1 92.969 (92.685)\n",
      "Test: [20/157]\tTime 0.147 (0.159)\tLoss 0.3400 (0.3356)\tPrec@1 93.750 (93.025)\n",
      "Test: [30/157]\tTime 0.170 (0.158)\tLoss 0.3568 (0.3384)\tPrec@1 93.750 (93.183)\n",
      "Test: [40/157]\tTime 0.146 (0.157)\tLoss 0.3176 (0.3325)\tPrec@1 92.578 (93.226)\n",
      "Test: [50/157]\tTime 0.168 (0.156)\tLoss 0.3275 (0.3350)\tPrec@1 92.969 (93.153)\n",
      "Test: [60/157]\tTime 0.151 (0.155)\tLoss 0.3732 (0.3344)\tPrec@1 92.969 (93.174)\n",
      "Test: [70/157]\tTime 0.161 (0.155)\tLoss 0.2745 (0.3376)\tPrec@1 94.531 (93.139)\n",
      "Test: [80/157]\tTime 0.146 (0.155)\tLoss 0.2637 (0.3343)\tPrec@1 92.578 (93.200)\n",
      "Test: [90/157]\tTime 0.177 (0.154)\tLoss 0.2079 (0.3330)\tPrec@1 94.922 (93.201)\n",
      "Test: [100/157]\tTime 0.157 (0.155)\tLoss 0.3471 (0.3371)\tPrec@1 92.578 (93.108)\n",
      "Test: [110/157]\tTime 0.174 (0.155)\tLoss 0.2273 (0.3339)\tPrec@1 95.703 (93.141)\n",
      "Test: [120/157]\tTime 0.147 (0.155)\tLoss 0.4590 (0.3313)\tPrec@1 91.016 (93.172)\n",
      "Test: [130/157]\tTime 0.152 (0.155)\tLoss 0.2141 (0.3286)\tPrec@1 94.922 (93.210)\n",
      "Test: [140/157]\tTime 0.149 (0.154)\tLoss 0.3656 (0.3260)\tPrec@1 92.188 (93.232)\n",
      "Test: [150/157]\tTime 0.160 (0.154)\tLoss 0.3013 (0.3279)\tPrec@1 93.750 (93.215)\n",
      " * Prec@1 93.228\n",
      "Epoch: [174][0/118]\tTime 0.303 (0.303)\tLoss 0.0016 (0.0016)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][10/118]\tTime 0.503 (0.511)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][20/118]\tTime 0.520 (0.521)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][30/118]\tTime 0.501 (0.521)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][40/118]\tTime 0.544 (0.527)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][50/118]\tTime 0.525 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][60/118]\tTime 0.503 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][70/118]\tTime 0.508 (0.526)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][80/118]\tTime 0.540 (0.526)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][90/118]\tTime 0.587 (0.526)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][100/118]\tTime 0.523 (0.526)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [174][110/118]\tTime 0.558 (0.527)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.286 (0.286)\tLoss 0.2620 (0.2620)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.147 (0.161)\tLoss 0.1836 (0.2992)\tPrec@1 96.094 (93.714)\n",
      "Test: [20/157]\tTime 0.149 (0.156)\tLoss 0.3209 (0.2940)\tPrec@1 92.578 (93.769)\n",
      "Test: [30/157]\tTime 0.147 (0.155)\tLoss 0.3715 (0.3056)\tPrec@1 91.406 (93.662)\n",
      "Test: [40/157]\tTime 0.145 (0.154)\tLoss 0.3700 (0.3175)\tPrec@1 91.797 (93.369)\n",
      "Test: [50/157]\tTime 0.162 (0.154)\tLoss 0.3732 (0.3196)\tPrec@1 92.188 (93.306)\n",
      "Test: [60/157]\tTime 0.147 (0.154)\tLoss 0.3863 (0.3282)\tPrec@1 93.359 (93.135)\n",
      "Test: [70/157]\tTime 0.148 (0.154)\tLoss 0.3353 (0.3270)\tPrec@1 93.359 (93.123)\n",
      "Test: [80/157]\tTime 0.154 (0.153)\tLoss 0.2544 (0.3300)\tPrec@1 92.969 (93.036)\n",
      "Test: [90/157]\tTime 0.170 (0.155)\tLoss 0.2449 (0.3307)\tPrec@1 94.141 (93.037)\n",
      "Test: [100/157]\tTime 0.173 (0.155)\tLoss 0.2720 (0.3280)\tPrec@1 93.750 (93.089)\n",
      "Test: [110/157]\tTime 0.164 (0.154)\tLoss 0.3859 (0.3278)\tPrec@1 92.578 (93.110)\n",
      "Test: [120/157]\tTime 0.157 (0.155)\tLoss 0.2429 (0.3258)\tPrec@1 94.922 (93.182)\n",
      "Test: [130/157]\tTime 0.163 (0.155)\tLoss 0.2061 (0.3261)\tPrec@1 94.531 (93.174)\n",
      "Test: [140/157]\tTime 0.159 (0.155)\tLoss 0.4262 (0.3298)\tPrec@1 91.016 (93.124)\n",
      "Test: [150/157]\tTime 0.174 (0.155)\tLoss 0.2748 (0.3295)\tPrec@1 95.312 (93.171)\n",
      " * Prec@1 93.185\n",
      "Epoch: [175][0/118]\tTime 0.252 (0.252)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][10/118]\tTime 0.519 (0.508)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][20/118]\tTime 0.514 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][30/118]\tTime 0.522 (0.525)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][40/118]\tTime 0.505 (0.524)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][50/118]\tTime 0.548 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][60/118]\tTime 0.519 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][70/118]\tTime 0.519 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][80/118]\tTime 0.524 (0.523)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][90/118]\tTime 0.502 (0.524)\tLoss 0.0021 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][100/118]\tTime 0.510 (0.525)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [175][110/118]\tTime 0.595 (0.526)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.311 (0.311)\tLoss 0.2447 (0.2447)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.142 (0.166)\tLoss 0.1675 (0.3091)\tPrec@1 95.703 (93.430)\n",
      "Test: [20/157]\tTime 0.149 (0.160)\tLoss 0.1945 (0.2998)\tPrec@1 94.922 (93.694)\n",
      "Test: [30/157]\tTime 0.149 (0.157)\tLoss 0.2291 (0.3157)\tPrec@1 93.750 (93.334)\n",
      "Test: [40/157]\tTime 0.150 (0.155)\tLoss 0.2453 (0.3133)\tPrec@1 94.922 (93.321)\n",
      "Test: [50/157]\tTime 0.166 (0.154)\tLoss 0.2850 (0.3178)\tPrec@1 94.141 (93.283)\n",
      "Test: [60/157]\tTime 0.151 (0.154)\tLoss 0.2945 (0.3158)\tPrec@1 92.969 (93.315)\n",
      "Test: [70/157]\tTime 0.151 (0.153)\tLoss 0.1941 (0.3144)\tPrec@1 94.922 (93.387)\n",
      "Test: [80/157]\tTime 0.161 (0.153)\tLoss 0.3358 (0.3182)\tPrec@1 94.141 (93.350)\n",
      "Test: [90/157]\tTime 0.154 (0.154)\tLoss 0.2961 (0.3201)\tPrec@1 94.141 (93.329)\n",
      "Test: [100/157]\tTime 0.170 (0.154)\tLoss 0.2441 (0.3189)\tPrec@1 93.750 (93.336)\n",
      "Test: [110/157]\tTime 0.147 (0.154)\tLoss 0.2735 (0.3179)\tPrec@1 92.969 (93.338)\n",
      "Test: [120/157]\tTime 0.151 (0.154)\tLoss 0.3273 (0.3205)\tPrec@1 93.750 (93.324)\n",
      "Test: [130/157]\tTime 0.170 (0.154)\tLoss 0.2452 (0.3196)\tPrec@1 93.750 (93.336)\n",
      "Test: [140/157]\tTime 0.158 (0.154)\tLoss 0.3579 (0.3205)\tPrec@1 93.359 (93.348)\n",
      "Test: [150/157]\tTime 0.178 (0.154)\tLoss 0.2099 (0.3223)\tPrec@1 95.703 (93.310)\n",
      " * Prec@1 93.272\n",
      "Epoch: [176][0/118]\tTime 0.278 (0.278)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][10/118]\tTime 0.526 (0.508)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][20/118]\tTime 0.495 (0.523)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][30/118]\tTime 0.513 (0.522)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][40/118]\tTime 0.538 (0.524)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][50/118]\tTime 0.506 (0.524)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [176][60/118]\tTime 0.547 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][70/118]\tTime 0.565 (0.528)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][80/118]\tTime 0.509 (0.527)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][90/118]\tTime 0.526 (0.528)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][100/118]\tTime 0.544 (0.528)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [176][110/118]\tTime 0.510 (0.528)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.306 (0.306)\tLoss 0.2290 (0.2290)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.142 (0.165)\tLoss 0.2675 (0.3276)\tPrec@1 93.750 (93.288)\n",
      "Test: [20/157]\tTime 0.154 (0.162)\tLoss 0.3097 (0.3286)\tPrec@1 94.141 (93.322)\n",
      "Test: [30/157]\tTime 0.147 (0.158)\tLoss 0.2710 (0.3224)\tPrec@1 93.750 (93.385)\n",
      "Test: [40/157]\tTime 0.141 (0.156)\tLoss 0.1351 (0.3208)\tPrec@1 96.484 (93.493)\n",
      "Test: [50/157]\tTime 0.142 (0.155)\tLoss 0.3964 (0.3183)\tPrec@1 92.188 (93.436)\n",
      "Test: [60/157]\tTime 0.149 (0.154)\tLoss 0.4466 (0.3216)\tPrec@1 89.844 (93.372)\n",
      "Test: [70/157]\tTime 0.150 (0.154)\tLoss 0.3659 (0.3224)\tPrec@1 92.188 (93.381)\n",
      "Test: [80/157]\tTime 0.151 (0.154)\tLoss 0.2991 (0.3231)\tPrec@1 92.578 (93.326)\n",
      "Test: [90/157]\tTime 0.158 (0.154)\tLoss 0.3385 (0.3233)\tPrec@1 93.750 (93.329)\n",
      "Test: [100/157]\tTime 0.153 (0.153)\tLoss 0.2280 (0.3221)\tPrec@1 95.703 (93.375)\n",
      "Test: [110/157]\tTime 0.155 (0.153)\tLoss 0.2702 (0.3234)\tPrec@1 95.312 (93.395)\n",
      "Test: [120/157]\tTime 0.156 (0.153)\tLoss 0.3227 (0.3253)\tPrec@1 93.750 (93.350)\n",
      "Test: [130/157]\tTime 0.155 (0.153)\tLoss 0.4042 (0.3293)\tPrec@1 91.406 (93.294)\n",
      "Test: [140/157]\tTime 0.184 (0.154)\tLoss 0.2777 (0.3304)\tPrec@1 93.750 (93.243)\n",
      "Test: [150/157]\tTime 0.166 (0.154)\tLoss 0.3964 (0.3295)\tPrec@1 91.797 (93.212)\n",
      " * Prec@1 93.207\n",
      "Epoch: [177][0/118]\tTime 0.265 (0.265)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][10/118]\tTime 0.506 (0.509)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][20/118]\tTime 0.524 (0.519)\tLoss 0.0025 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][30/118]\tTime 0.534 (0.520)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][40/118]\tTime 0.531 (0.523)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][50/118]\tTime 0.541 (0.523)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][60/118]\tTime 0.511 (0.523)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][70/118]\tTime 0.526 (0.523)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][80/118]\tTime 0.540 (0.525)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][90/118]\tTime 0.519 (0.524)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][100/118]\tTime 0.497 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [177][110/118]\tTime 0.528 (0.524)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.4684 (0.4684)\tPrec@1 90.625 (90.625)\n",
      "Test: [10/157]\tTime 0.146 (0.162)\tLoss 0.4913 (0.3721)\tPrec@1 89.844 (92.507)\n",
      "Test: [20/157]\tTime 0.156 (0.158)\tLoss 0.1667 (0.3127)\tPrec@1 95.703 (93.359)\n",
      "Test: [30/157]\tTime 0.175 (0.156)\tLoss 0.2241 (0.3172)\tPrec@1 93.750 (93.246)\n",
      "Test: [40/157]\tTime 0.168 (0.156)\tLoss 0.4402 (0.3244)\tPrec@1 91.016 (93.226)\n",
      "Test: [50/157]\tTime 0.147 (0.155)\tLoss 0.4095 (0.3252)\tPrec@1 91.406 (93.199)\n",
      "Test: [60/157]\tTime 0.176 (0.154)\tLoss 0.3578 (0.3187)\tPrec@1 93.750 (93.302)\n",
      "Test: [70/157]\tTime 0.155 (0.154)\tLoss 0.1762 (0.3194)\tPrec@1 95.703 (93.266)\n",
      "Test: [80/157]\tTime 0.152 (0.154)\tLoss 0.3149 (0.3199)\tPrec@1 94.531 (93.253)\n",
      "Test: [90/157]\tTime 0.163 (0.155)\tLoss 0.2821 (0.3223)\tPrec@1 93.750 (93.226)\n",
      "Test: [100/157]\tTime 0.145 (0.155)\tLoss 0.4126 (0.3215)\tPrec@1 92.188 (93.220)\n",
      "Test: [110/157]\tTime 0.155 (0.155)\tLoss 0.2885 (0.3179)\tPrec@1 93.750 (93.307)\n",
      "Test: [120/157]\tTime 0.144 (0.155)\tLoss 0.3287 (0.3177)\tPrec@1 93.750 (93.330)\n",
      "Test: [130/157]\tTime 0.156 (0.155)\tLoss 0.3133 (0.3206)\tPrec@1 94.141 (93.303)\n",
      "Test: [140/157]\tTime 0.140 (0.155)\tLoss 0.3558 (0.3240)\tPrec@1 92.188 (93.268)\n",
      "Test: [150/157]\tTime 0.156 (0.155)\tLoss 0.2948 (0.3256)\tPrec@1 94.531 (93.233)\n",
      " * Prec@1 93.230\n",
      "Epoch: [178][0/118]\tTime 0.270 (0.270)\tLoss 0.0015 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][10/118]\tTime 0.524 (0.506)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][20/118]\tTime 0.553 (0.512)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][30/118]\tTime 0.537 (0.517)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][40/118]\tTime 0.516 (0.518)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][50/118]\tTime 0.538 (0.521)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][60/118]\tTime 0.575 (0.523)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][70/118]\tTime 0.518 (0.523)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][80/118]\tTime 0.514 (0.524)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][90/118]\tTime 0.503 (0.524)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][100/118]\tTime 0.534 (0.525)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [178][110/118]\tTime 0.520 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.307 (0.307)\tLoss 0.2167 (0.2167)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.165 (0.174)\tLoss 0.3497 (0.3337)\tPrec@1 92.969 (92.827)\n",
      "Test: [20/157]\tTime 0.145 (0.163)\tLoss 0.1900 (0.3112)\tPrec@1 96.094 (93.415)\n",
      "Test: [30/157]\tTime 0.163 (0.160)\tLoss 0.4132 (0.3281)\tPrec@1 92.969 (93.120)\n",
      "Test: [40/157]\tTime 0.167 (0.160)\tLoss 0.2658 (0.3255)\tPrec@1 94.531 (93.102)\n",
      "Test: [50/157]\tTime 0.143 (0.158)\tLoss 0.3821 (0.3208)\tPrec@1 92.578 (93.199)\n",
      "Test: [60/157]\tTime 0.146 (0.157)\tLoss 0.2131 (0.3196)\tPrec@1 96.094 (93.199)\n",
      "Test: [70/157]\tTime 0.157 (0.157)\tLoss 0.2894 (0.3216)\tPrec@1 94.141 (93.183)\n",
      "Test: [80/157]\tTime 0.147 (0.157)\tLoss 0.2240 (0.3207)\tPrec@1 94.922 (93.210)\n",
      "Test: [90/157]\tTime 0.144 (0.156)\tLoss 0.2346 (0.3194)\tPrec@1 93.359 (93.209)\n",
      "Test: [100/157]\tTime 0.145 (0.156)\tLoss 0.3855 (0.3189)\tPrec@1 91.406 (93.216)\n",
      "Test: [110/157]\tTime 0.146 (0.156)\tLoss 0.2702 (0.3186)\tPrec@1 92.969 (93.233)\n",
      "Test: [120/157]\tTime 0.163 (0.155)\tLoss 0.4184 (0.3224)\tPrec@1 91.406 (93.185)\n",
      "Test: [130/157]\tTime 0.144 (0.155)\tLoss 0.4460 (0.3227)\tPrec@1 91.406 (93.192)\n",
      "Test: [140/157]\tTime 0.158 (0.155)\tLoss 0.1993 (0.3211)\tPrec@1 95.312 (93.232)\n",
      "Test: [150/157]\tTime 0.144 (0.155)\tLoss 0.4542 (0.3250)\tPrec@1 91.797 (93.183)\n",
      " * Prec@1 93.220\n",
      "Epoch: [179][0/118]\tTime 0.266 (0.266)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][10/118]\tTime 0.519 (0.505)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][20/118]\tTime 0.529 (0.513)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][30/118]\tTime 0.513 (0.518)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][40/118]\tTime 0.554 (0.518)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][50/118]\tTime 0.515 (0.520)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][60/118]\tTime 0.578 (0.522)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][70/118]\tTime 0.518 (0.523)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][80/118]\tTime 0.517 (0.523)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][90/118]\tTime 0.509 (0.523)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][100/118]\tTime 0.523 (0.523)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [179][110/118]\tTime 0.522 (0.523)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.2966 (0.2966)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.169 (0.168)\tLoss 0.3470 (0.3474)\tPrec@1 92.578 (92.720)\n",
      "Test: [20/157]\tTime 0.147 (0.160)\tLoss 0.2159 (0.3342)\tPrec@1 94.922 (92.857)\n",
      "Test: [30/157]\tTime 0.145 (0.158)\tLoss 0.3283 (0.3312)\tPrec@1 92.578 (92.893)\n",
      "Test: [40/157]\tTime 0.142 (0.157)\tLoss 0.3131 (0.3250)\tPrec@1 93.359 (93.083)\n",
      "Test: [50/157]\tTime 0.181 (0.158)\tLoss 0.2555 (0.3163)\tPrec@1 94.531 (93.176)\n",
      "Test: [60/157]\tTime 0.149 (0.158)\tLoss 0.3716 (0.3158)\tPrec@1 92.969 (93.238)\n",
      "Test: [70/157]\tTime 0.163 (0.157)\tLoss 0.3239 (0.3199)\tPrec@1 92.578 (93.189)\n",
      "Test: [80/157]\tTime 0.143 (0.156)\tLoss 0.3463 (0.3204)\tPrec@1 92.969 (93.191)\n",
      "Test: [90/157]\tTime 0.150 (0.156)\tLoss 0.2802 (0.3185)\tPrec@1 95.312 (93.243)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [100/157]\tTime 0.153 (0.156)\tLoss 0.3158 (0.3216)\tPrec@1 92.188 (93.143)\n",
      "Test: [110/157]\tTime 0.167 (0.155)\tLoss 0.4149 (0.3209)\tPrec@1 91.406 (93.190)\n",
      "Test: [120/157]\tTime 0.148 (0.155)\tLoss 0.4722 (0.3199)\tPrec@1 91.406 (93.224)\n",
      "Test: [130/157]\tTime 0.142 (0.155)\tLoss 0.2119 (0.3177)\tPrec@1 95.703 (93.264)\n",
      "Test: [140/157]\tTime 0.151 (0.155)\tLoss 0.3323 (0.3226)\tPrec@1 91.797 (93.179)\n",
      "Test: [150/157]\tTime 0.156 (0.155)\tLoss 0.3310 (0.3227)\tPrec@1 94.141 (93.194)\n",
      " * Prec@1 93.157\n",
      "Epoch: [180][0/118]\tTime 0.263 (0.263)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][10/118]\tTime 0.514 (0.498)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][20/118]\tTime 0.515 (0.512)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][30/118]\tTime 0.553 (0.516)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][40/118]\tTime 0.549 (0.522)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][50/118]\tTime 0.529 (0.527)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][60/118]\tTime 0.561 (0.527)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][70/118]\tTime 0.508 (0.527)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][80/118]\tTime 0.501 (0.526)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][90/118]\tTime 0.542 (0.526)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][100/118]\tTime 0.514 (0.526)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [180][110/118]\tTime 0.562 (0.526)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.255 (0.255)\tLoss 0.2356 (0.2356)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.155 (0.163)\tLoss 0.2777 (0.3027)\tPrec@1 94.531 (93.750)\n",
      "Test: [20/157]\tTime 0.164 (0.168)\tLoss 0.4327 (0.3205)\tPrec@1 90.234 (93.285)\n",
      "Test: [30/157]\tTime 0.142 (0.162)\tLoss 0.4289 (0.3295)\tPrec@1 91.016 (93.133)\n",
      "Test: [40/157]\tTime 0.179 (0.160)\tLoss 0.3552 (0.3161)\tPrec@1 92.188 (93.369)\n",
      "Test: [50/157]\tTime 0.155 (0.159)\tLoss 0.4057 (0.3301)\tPrec@1 91.016 (93.107)\n",
      "Test: [60/157]\tTime 0.170 (0.158)\tLoss 0.4091 (0.3325)\tPrec@1 92.578 (93.058)\n",
      "Test: [70/157]\tTime 0.166 (0.157)\tLoss 0.3323 (0.3296)\tPrec@1 92.188 (93.106)\n",
      "Test: [80/157]\tTime 0.145 (0.157)\tLoss 0.2752 (0.3262)\tPrec@1 94.922 (93.224)\n",
      "Test: [90/157]\tTime 0.158 (0.157)\tLoss 0.4206 (0.3289)\tPrec@1 91.406 (93.102)\n",
      "Test: [100/157]\tTime 0.145 (0.156)\tLoss 0.4535 (0.3302)\tPrec@1 91.016 (93.096)\n",
      "Test: [110/157]\tTime 0.162 (0.156)\tLoss 0.3120 (0.3325)\tPrec@1 94.141 (93.036)\n",
      "Test: [120/157]\tTime 0.152 (0.155)\tLoss 0.3932 (0.3297)\tPrec@1 92.188 (93.088)\n",
      "Test: [130/157]\tTime 0.146 (0.155)\tLoss 0.3634 (0.3292)\tPrec@1 93.359 (93.124)\n",
      "Test: [140/157]\tTime 0.147 (0.155)\tLoss 0.2768 (0.3292)\tPrec@1 91.797 (93.088)\n",
      "Test: [150/157]\tTime 0.172 (0.155)\tLoss 0.2563 (0.3260)\tPrec@1 94.531 (93.145)\n",
      " * Prec@1 93.180\n",
      "Epoch: [181][0/118]\tTime 0.273 (0.273)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][10/118]\tTime 0.516 (0.503)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][20/118]\tTime 0.511 (0.518)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][30/118]\tTime 0.535 (0.519)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][40/118]\tTime 0.512 (0.520)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][50/118]\tTime 0.529 (0.522)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][60/118]\tTime 0.518 (0.522)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][70/118]\tTime 0.531 (0.524)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][80/118]\tTime 0.499 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][90/118]\tTime 0.517 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][100/118]\tTime 0.536 (0.524)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [181][110/118]\tTime 0.528 (0.524)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.323 (0.323)\tLoss 0.2288 (0.2288)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.150 (0.164)\tLoss 0.3574 (0.2859)\tPrec@1 91.797 (93.821)\n",
      "Test: [20/157]\tTime 0.141 (0.160)\tLoss 0.3695 (0.3039)\tPrec@1 92.578 (93.397)\n",
      "Test: [30/157]\tTime 0.164 (0.157)\tLoss 0.2376 (0.3049)\tPrec@1 95.312 (93.511)\n",
      "Test: [40/157]\tTime 0.157 (0.156)\tLoss 0.2773 (0.3189)\tPrec@1 93.359 (93.293)\n",
      "Test: [50/157]\tTime 0.162 (0.156)\tLoss 0.4479 (0.3310)\tPrec@1 91.797 (93.114)\n",
      "Test: [60/157]\tTime 0.148 (0.155)\tLoss 0.3948 (0.3335)\tPrec@1 92.578 (93.052)\n",
      "Test: [70/157]\tTime 0.147 (0.155)\tLoss 0.2645 (0.3284)\tPrec@1 95.312 (93.123)\n",
      "Test: [80/157]\tTime 0.144 (0.155)\tLoss 0.5769 (0.3291)\tPrec@1 88.672 (93.094)\n",
      "Test: [90/157]\tTime 0.166 (0.155)\tLoss 0.4017 (0.3313)\tPrec@1 92.578 (93.085)\n",
      "Test: [100/157]\tTime 0.142 (0.155)\tLoss 0.3947 (0.3280)\tPrec@1 91.797 (93.151)\n",
      "Test: [110/157]\tTime 0.142 (0.155)\tLoss 0.3875 (0.3276)\tPrec@1 92.188 (93.148)\n",
      "Test: [120/157]\tTime 0.140 (0.154)\tLoss 0.2946 (0.3299)\tPrec@1 94.141 (93.130)\n",
      "Test: [130/157]\tTime 0.166 (0.155)\tLoss 0.2965 (0.3301)\tPrec@1 93.359 (93.154)\n",
      "Test: [140/157]\tTime 0.143 (0.154)\tLoss 0.2611 (0.3288)\tPrec@1 94.141 (93.157)\n",
      "Test: [150/157]\tTime 0.154 (0.154)\tLoss 0.1429 (0.3282)\tPrec@1 96.094 (93.158)\n",
      " * Prec@1 93.172\n",
      "Epoch: [182][0/118]\tTime 0.257 (0.257)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][10/118]\tTime 0.578 (0.502)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][20/118]\tTime 0.535 (0.508)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][30/118]\tTime 0.521 (0.514)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][40/118]\tTime 0.498 (0.518)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][50/118]\tTime 0.523 (0.519)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][60/118]\tTime 0.511 (0.521)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][70/118]\tTime 0.548 (0.523)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][80/118]\tTime 0.529 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][90/118]\tTime 0.511 (0.525)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][100/118]\tTime 0.509 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [182][110/118]\tTime 0.539 (0.526)\tLoss 0.0020 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.314 (0.314)\tLoss 0.3935 (0.3935)\tPrec@1 92.578 (92.578)\n",
      "Test: [10/157]\tTime 0.152 (0.165)\tLoss 0.3616 (0.3251)\tPrec@1 92.188 (93.395)\n",
      "Test: [20/157]\tTime 0.179 (0.161)\tLoss 0.4201 (0.3476)\tPrec@1 89.844 (92.690)\n",
      "Test: [30/157]\tTime 0.148 (0.156)\tLoss 0.2784 (0.3355)\tPrec@1 93.359 (92.931)\n",
      "Test: [40/157]\tTime 0.142 (0.156)\tLoss 0.3460 (0.3374)\tPrec@1 91.797 (92.854)\n",
      "Test: [50/157]\tTime 0.150 (0.155)\tLoss 0.3583 (0.3400)\tPrec@1 93.359 (92.923)\n",
      "Test: [60/157]\tTime 0.150 (0.156)\tLoss 0.3286 (0.3319)\tPrec@1 92.969 (93.052)\n",
      "Test: [70/157]\tTime 0.142 (0.155)\tLoss 0.3080 (0.3352)\tPrec@1 94.531 (92.952)\n",
      "Test: [80/157]\tTime 0.167 (0.155)\tLoss 0.2742 (0.3321)\tPrec@1 94.531 (93.046)\n",
      "Test: [90/157]\tTime 0.156 (0.154)\tLoss 0.3288 (0.3305)\tPrec@1 92.188 (93.063)\n",
      "Test: [100/157]\tTime 0.160 (0.155)\tLoss 0.2724 (0.3309)\tPrec@1 94.922 (93.065)\n",
      "Test: [110/157]\tTime 0.158 (0.154)\tLoss 0.1942 (0.3295)\tPrec@1 95.312 (93.120)\n",
      "Test: [120/157]\tTime 0.183 (0.154)\tLoss 0.3052 (0.3315)\tPrec@1 94.531 (93.111)\n",
      "Test: [130/157]\tTime 0.145 (0.154)\tLoss 0.2837 (0.3296)\tPrec@1 93.359 (93.112)\n",
      "Test: [140/157]\tTime 0.145 (0.154)\tLoss 0.2326 (0.3300)\tPrec@1 94.922 (93.129)\n",
      "Test: [150/157]\tTime 0.146 (0.153)\tLoss 0.2209 (0.3289)\tPrec@1 95.703 (93.163)\n",
      " * Prec@1 93.175\n",
      "Epoch: [183][0/118]\tTime 0.254 (0.254)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][10/118]\tTime 0.559 (0.512)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][20/118]\tTime 0.513 (0.523)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][30/118]\tTime 0.516 (0.524)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][40/118]\tTime 0.557 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][50/118]\tTime 0.552 (0.527)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][60/118]\tTime 0.510 (0.527)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][70/118]\tTime 0.574 (0.528)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][80/118]\tTime 0.503 (0.529)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][90/118]\tTime 0.501 (0.529)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [183][100/118]\tTime 0.577 (0.530)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [183][110/118]\tTime 0.537 (0.530)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.250 (0.250)\tLoss 0.2726 (0.2726)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.150 (0.168)\tLoss 0.4764 (0.3184)\tPrec@1 89.453 (93.537)\n",
      "Test: [20/157]\tTime 0.166 (0.158)\tLoss 0.2930 (0.3322)\tPrec@1 94.531 (93.173)\n",
      "Test: [30/157]\tTime 0.142 (0.157)\tLoss 0.4220 (0.3311)\tPrec@1 91.016 (93.183)\n",
      "Test: [40/157]\tTime 0.148 (0.154)\tLoss 0.2789 (0.3269)\tPrec@1 94.922 (93.283)\n",
      "Test: [50/157]\tTime 0.151 (0.154)\tLoss 0.2522 (0.3113)\tPrec@1 96.094 (93.520)\n",
      "Test: [60/157]\tTime 0.142 (0.154)\tLoss 0.2488 (0.3150)\tPrec@1 94.141 (93.423)\n",
      "Test: [70/157]\tTime 0.144 (0.154)\tLoss 0.2545 (0.3201)\tPrec@1 94.922 (93.365)\n",
      "Test: [80/157]\tTime 0.141 (0.154)\tLoss 0.4649 (0.3176)\tPrec@1 90.234 (93.350)\n",
      "Test: [90/157]\tTime 0.145 (0.153)\tLoss 0.5098 (0.3220)\tPrec@1 89.844 (93.282)\n",
      "Test: [100/157]\tTime 0.147 (0.153)\tLoss 0.4104 (0.3252)\tPrec@1 92.188 (93.216)\n",
      "Test: [110/157]\tTime 0.151 (0.153)\tLoss 0.2101 (0.3243)\tPrec@1 95.703 (93.275)\n",
      "Test: [120/157]\tTime 0.152 (0.153)\tLoss 0.4435 (0.3226)\tPrec@1 91.797 (93.298)\n",
      "Test: [130/157]\tTime 0.154 (0.153)\tLoss 0.4579 (0.3235)\tPrec@1 91.016 (93.273)\n",
      "Test: [140/157]\tTime 0.174 (0.153)\tLoss 0.3341 (0.3235)\tPrec@1 92.969 (93.268)\n",
      "Test: [150/157]\tTime 0.151 (0.153)\tLoss 0.3420 (0.3241)\tPrec@1 92.578 (93.235)\n",
      " * Prec@1 93.218\n",
      "Epoch: [184][0/118]\tTime 0.286 (0.286)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][10/118]\tTime 0.529 (0.512)\tLoss 0.0014 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][20/118]\tTime 0.524 (0.515)\tLoss 0.0013 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][30/118]\tTime 0.521 (0.517)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][40/118]\tTime 0.549 (0.517)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][50/118]\tTime 0.507 (0.521)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][60/118]\tTime 0.509 (0.521)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][70/118]\tTime 0.528 (0.522)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][80/118]\tTime 0.546 (0.524)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][90/118]\tTime 0.510 (0.523)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][100/118]\tTime 0.504 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [184][110/118]\tTime 0.506 (0.524)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.3692 (0.3692)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.170 (0.167)\tLoss 0.3367 (0.3043)\tPrec@1 94.531 (93.821)\n",
      "Test: [20/157]\tTime 0.143 (0.164)\tLoss 0.4088 (0.3035)\tPrec@1 92.969 (93.676)\n",
      "Test: [30/157]\tTime 0.163 (0.160)\tLoss 0.3553 (0.3022)\tPrec@1 91.406 (93.649)\n",
      "Test: [40/157]\tTime 0.147 (0.157)\tLoss 0.3098 (0.3166)\tPrec@1 92.969 (93.331)\n",
      "Test: [50/157]\tTime 0.152 (0.157)\tLoss 0.2394 (0.3162)\tPrec@1 94.531 (93.336)\n",
      "Test: [60/157]\tTime 0.151 (0.157)\tLoss 0.3760 (0.3244)\tPrec@1 92.578 (93.199)\n",
      "Test: [70/157]\tTime 0.146 (0.155)\tLoss 0.3291 (0.3271)\tPrec@1 93.359 (93.172)\n",
      "Test: [80/157]\tTime 0.145 (0.155)\tLoss 0.3229 (0.3282)\tPrec@1 93.750 (93.133)\n",
      "Test: [90/157]\tTime 0.167 (0.156)\tLoss 0.1763 (0.3215)\tPrec@1 96.094 (93.243)\n",
      "Test: [100/157]\tTime 0.141 (0.155)\tLoss 0.1986 (0.3249)\tPrec@1 95.703 (93.216)\n",
      "Test: [110/157]\tTime 0.163 (0.155)\tLoss 0.4914 (0.3280)\tPrec@1 89.453 (93.152)\n",
      "Test: [120/157]\tTime 0.146 (0.155)\tLoss 0.3405 (0.3287)\tPrec@1 92.578 (93.153)\n",
      "Test: [130/157]\tTime 0.141 (0.155)\tLoss 0.1746 (0.3264)\tPrec@1 96.094 (93.198)\n",
      "Test: [140/157]\tTime 0.172 (0.155)\tLoss 0.2242 (0.3252)\tPrec@1 95.312 (93.218)\n",
      "Test: [150/157]\tTime 0.158 (0.155)\tLoss 0.2391 (0.3284)\tPrec@1 94.922 (93.186)\n",
      " * Prec@1 93.203\n",
      "Epoch: [185][0/118]\tTime 0.331 (0.331)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][10/118]\tTime 0.506 (0.518)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][20/118]\tTime 0.537 (0.526)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][30/118]\tTime 0.499 (0.524)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][40/118]\tTime 0.525 (0.524)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][50/118]\tTime 0.516 (0.523)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][60/118]\tTime 0.524 (0.524)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][70/118]\tTime 0.538 (0.524)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][80/118]\tTime 0.553 (0.525)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][90/118]\tTime 0.506 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][100/118]\tTime 0.507 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [185][110/118]\tTime 0.511 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.314 (0.314)\tLoss 0.2803 (0.2803)\tPrec@1 94.922 (94.922)\n",
      "Test: [10/157]\tTime 0.142 (0.164)\tLoss 0.3386 (0.3223)\tPrec@1 92.578 (93.501)\n",
      "Test: [20/157]\tTime 0.143 (0.159)\tLoss 0.3353 (0.3085)\tPrec@1 94.141 (93.750)\n",
      "Test: [30/157]\tTime 0.152 (0.157)\tLoss 0.4268 (0.3152)\tPrec@1 91.406 (93.448)\n",
      "Test: [40/157]\tTime 0.165 (0.157)\tLoss 0.2411 (0.3180)\tPrec@1 95.703 (93.436)\n",
      "Test: [50/157]\tTime 0.143 (0.156)\tLoss 0.2146 (0.3212)\tPrec@1 96.484 (93.313)\n",
      "Test: [60/157]\tTime 0.153 (0.155)\tLoss 0.4608 (0.3206)\tPrec@1 91.406 (93.340)\n",
      "Test: [70/157]\tTime 0.152 (0.156)\tLoss 0.5280 (0.3291)\tPrec@1 90.625 (93.167)\n",
      "Test: [80/157]\tTime 0.151 (0.155)\tLoss 0.3533 (0.3315)\tPrec@1 92.578 (93.109)\n",
      "Test: [90/157]\tTime 0.145 (0.155)\tLoss 0.2874 (0.3256)\tPrec@1 93.359 (93.222)\n",
      "Test: [100/157]\tTime 0.145 (0.155)\tLoss 0.2455 (0.3240)\tPrec@1 93.359 (93.201)\n",
      "Test: [110/157]\tTime 0.145 (0.155)\tLoss 0.2331 (0.3249)\tPrec@1 96.094 (93.194)\n",
      "Test: [120/157]\tTime 0.150 (0.154)\tLoss 0.4961 (0.3267)\tPrec@1 90.234 (93.162)\n",
      "Test: [130/157]\tTime 0.175 (0.154)\tLoss 0.4061 (0.3273)\tPrec@1 92.578 (93.166)\n",
      "Test: [140/157]\tTime 0.153 (0.154)\tLoss 0.1668 (0.3274)\tPrec@1 96.094 (93.135)\n",
      "Test: [150/157]\tTime 0.146 (0.153)\tLoss 0.2828 (0.3268)\tPrec@1 94.141 (93.145)\n",
      " * Prec@1 93.165\n",
      "Epoch: [186][0/118]\tTime 0.271 (0.271)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][10/118]\tTime 0.506 (0.499)\tLoss 0.0019 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][20/118]\tTime 0.493 (0.514)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][30/118]\tTime 0.537 (0.517)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][40/118]\tTime 0.518 (0.519)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][50/118]\tTime 0.517 (0.520)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][60/118]\tTime 0.554 (0.524)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][70/118]\tTime 0.533 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][80/118]\tTime 0.518 (0.524)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][90/118]\tTime 0.557 (0.524)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][100/118]\tTime 0.530 (0.524)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [186][110/118]\tTime 0.544 (0.525)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.286 (0.286)\tLoss 0.4101 (0.4101)\tPrec@1 91.797 (91.797)\n",
      "Test: [10/157]\tTime 0.143 (0.157)\tLoss 0.3615 (0.3022)\tPrec@1 93.359 (94.212)\n",
      "Test: [20/157]\tTime 0.163 (0.156)\tLoss 0.4481 (0.3337)\tPrec@1 92.188 (93.397)\n",
      "Test: [30/157]\tTime 0.165 (0.154)\tLoss 0.3605 (0.3339)\tPrec@1 92.969 (93.372)\n",
      "Test: [40/157]\tTime 0.150 (0.154)\tLoss 0.2510 (0.3235)\tPrec@1 93.359 (93.464)\n",
      "Test: [50/157]\tTime 0.145 (0.152)\tLoss 0.4242 (0.3289)\tPrec@1 91.797 (93.359)\n",
      "Test: [60/157]\tTime 0.152 (0.153)\tLoss 0.3474 (0.3222)\tPrec@1 93.359 (93.417)\n",
      "Test: [70/157]\tTime 0.144 (0.153)\tLoss 0.1880 (0.3297)\tPrec@1 95.703 (93.216)\n",
      "Test: [80/157]\tTime 0.156 (0.153)\tLoss 0.3044 (0.3271)\tPrec@1 92.969 (93.171)\n",
      "Test: [90/157]\tTime 0.141 (0.153)\tLoss 0.1640 (0.3289)\tPrec@1 96.094 (93.140)\n",
      "Test: [100/157]\tTime 0.142 (0.153)\tLoss 0.3661 (0.3247)\tPrec@1 93.750 (93.259)\n",
      "Test: [110/157]\tTime 0.164 (0.153)\tLoss 0.2695 (0.3241)\tPrec@1 92.578 (93.236)\n",
      "Test: [120/157]\tTime 0.147 (0.153)\tLoss 0.2822 (0.3240)\tPrec@1 93.750 (93.237)\n",
      "Test: [130/157]\tTime 0.153 (0.154)\tLoss 0.4630 (0.3259)\tPrec@1 90.234 (93.234)\n",
      "Test: [140/157]\tTime 0.151 (0.153)\tLoss 0.3936 (0.3280)\tPrec@1 92.969 (93.199)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [150/157]\tTime 0.159 (0.154)\tLoss 0.3902 (0.3295)\tPrec@1 90.234 (93.165)\n",
      " * Prec@1 93.205\n",
      "Epoch: [187][0/118]\tTime 0.253 (0.253)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][10/118]\tTime 0.544 (0.508)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][20/118]\tTime 0.507 (0.514)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][30/118]\tTime 0.522 (0.516)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][40/118]\tTime 0.502 (0.519)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][50/118]\tTime 0.529 (0.520)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][60/118]\tTime 0.508 (0.524)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][70/118]\tTime 0.560 (0.525)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][80/118]\tTime 0.505 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][90/118]\tTime 0.528 (0.526)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][100/118]\tTime 0.505 (0.526)\tLoss 0.0010 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [187][110/118]\tTime 0.503 (0.525)\tLoss 0.0025 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.247 (0.247)\tLoss 0.3365 (0.3365)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.156 (0.163)\tLoss 0.1860 (0.2981)\tPrec@1 95.703 (93.786)\n",
      "Test: [20/157]\tTime 0.147 (0.156)\tLoss 0.2798 (0.3239)\tPrec@1 93.750 (93.378)\n",
      "Test: [30/157]\tTime 0.147 (0.156)\tLoss 0.2835 (0.3244)\tPrec@1 93.359 (93.422)\n",
      "Test: [40/157]\tTime 0.153 (0.155)\tLoss 0.2133 (0.3171)\tPrec@1 95.703 (93.540)\n",
      "Test: [50/157]\tTime 0.148 (0.155)\tLoss 0.2798 (0.3197)\tPrec@1 94.531 (93.467)\n",
      "Test: [60/157]\tTime 0.146 (0.154)\tLoss 0.2355 (0.3199)\tPrec@1 94.531 (93.417)\n",
      "Test: [70/157]\tTime 0.143 (0.154)\tLoss 0.2645 (0.3226)\tPrec@1 93.750 (93.332)\n",
      "Test: [80/157]\tTime 0.146 (0.153)\tLoss 0.2881 (0.3158)\tPrec@1 94.531 (93.470)\n",
      "Test: [90/157]\tTime 0.149 (0.152)\tLoss 0.3804 (0.3210)\tPrec@1 89.844 (93.346)\n",
      "Test: [100/157]\tTime 0.162 (0.153)\tLoss 0.3917 (0.3226)\tPrec@1 91.016 (93.297)\n",
      "Test: [110/157]\tTime 0.145 (0.153)\tLoss 0.3770 (0.3259)\tPrec@1 92.969 (93.243)\n",
      "Test: [120/157]\tTime 0.148 (0.153)\tLoss 0.4103 (0.3259)\tPrec@1 91.797 (93.246)\n",
      "Test: [130/157]\tTime 0.143 (0.153)\tLoss 0.2908 (0.3268)\tPrec@1 93.359 (93.243)\n",
      "Test: [140/157]\tTime 0.176 (0.153)\tLoss 0.3679 (0.3275)\tPrec@1 91.797 (93.204)\n",
      "Test: [150/157]\tTime 0.178 (0.153)\tLoss 0.3181 (0.3278)\tPrec@1 94.531 (93.227)\n",
      " * Prec@1 93.210\n",
      "Epoch: [188][0/118]\tTime 0.250 (0.250)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][10/118]\tTime 0.530 (0.529)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][20/118]\tTime 0.582 (0.531)\tLoss 0.0021 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][30/118]\tTime 0.524 (0.530)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][40/118]\tTime 0.523 (0.528)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][50/118]\tTime 0.511 (0.527)\tLoss 0.0019 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][60/118]\tTime 0.534 (0.527)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][70/118]\tTime 0.515 (0.526)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][80/118]\tTime 0.558 (0.526)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][90/118]\tTime 0.516 (0.526)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][100/118]\tTime 0.553 (0.525)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [188][110/118]\tTime 0.534 (0.528)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.313 (0.313)\tLoss 0.3448 (0.3448)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.155 (0.167)\tLoss 0.3462 (0.3022)\tPrec@1 93.359 (93.714)\n",
      "Test: [20/157]\tTime 0.154 (0.157)\tLoss 0.2943 (0.3229)\tPrec@1 92.578 (93.378)\n",
      "Test: [30/157]\tTime 0.145 (0.156)\tLoss 0.2733 (0.3277)\tPrec@1 94.141 (93.347)\n",
      "Test: [40/157]\tTime 0.150 (0.155)\tLoss 0.2267 (0.3129)\tPrec@1 93.750 (93.407)\n",
      "Test: [50/157]\tTime 0.190 (0.156)\tLoss 0.3706 (0.3157)\tPrec@1 92.578 (93.375)\n",
      "Test: [60/157]\tTime 0.204 (0.157)\tLoss 0.1697 (0.3161)\tPrec@1 94.531 (93.321)\n",
      "Test: [70/157]\tTime 0.142 (0.157)\tLoss 0.2978 (0.3171)\tPrec@1 94.141 (93.293)\n",
      "Test: [80/157]\tTime 0.172 (0.156)\tLoss 0.3195 (0.3165)\tPrec@1 94.141 (93.297)\n",
      "Test: [90/157]\tTime 0.161 (0.156)\tLoss 0.2607 (0.3161)\tPrec@1 93.359 (93.308)\n",
      "Test: [100/157]\tTime 0.145 (0.155)\tLoss 0.3344 (0.3177)\tPrec@1 92.578 (93.263)\n",
      "Test: [110/157]\tTime 0.149 (0.155)\tLoss 0.3343 (0.3210)\tPrec@1 92.578 (93.222)\n",
      "Test: [120/157]\tTime 0.155 (0.155)\tLoss 0.2238 (0.3208)\tPrec@1 96.094 (93.259)\n",
      "Test: [130/157]\tTime 0.144 (0.155)\tLoss 0.4441 (0.3219)\tPrec@1 92.188 (93.285)\n",
      "Test: [140/157]\tTime 0.157 (0.154)\tLoss 0.2415 (0.3261)\tPrec@1 93.359 (93.213)\n",
      "Test: [150/157]\tTime 0.148 (0.154)\tLoss 0.3013 (0.3266)\tPrec@1 94.141 (93.183)\n",
      " * Prec@1 93.195\n",
      "Epoch: [189][0/118]\tTime 0.296 (0.296)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][10/118]\tTime 0.535 (0.517)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][20/118]\tTime 0.551 (0.522)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][30/118]\tTime 0.530 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][40/118]\tTime 0.607 (0.528)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][50/118]\tTime 0.518 (0.527)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][60/118]\tTime 0.537 (0.528)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][70/118]\tTime 0.550 (0.529)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][80/118]\tTime 0.518 (0.529)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][90/118]\tTime 0.572 (0.529)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][100/118]\tTime 0.498 (0.528)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [189][110/118]\tTime 0.536 (0.529)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.299 (0.299)\tLoss 0.1951 (0.1951)\tPrec@1 95.703 (95.703)\n",
      "Test: [10/157]\tTime 0.158 (0.165)\tLoss 0.2790 (0.3133)\tPrec@1 94.141 (93.537)\n",
      "Test: [20/157]\tTime 0.150 (0.159)\tLoss 0.4048 (0.3393)\tPrec@1 92.578 (92.876)\n",
      "Test: [30/157]\tTime 0.176 (0.157)\tLoss 0.4163 (0.3368)\tPrec@1 92.578 (92.981)\n",
      "Test: [40/157]\tTime 0.145 (0.158)\tLoss 0.3143 (0.3389)\tPrec@1 93.750 (92.931)\n",
      "Test: [50/157]\tTime 0.143 (0.157)\tLoss 0.3440 (0.3390)\tPrec@1 92.188 (93.045)\n",
      "Test: [60/157]\tTime 0.157 (0.157)\tLoss 0.3212 (0.3432)\tPrec@1 94.141 (92.982)\n",
      "Test: [70/157]\tTime 0.146 (0.156)\tLoss 0.2517 (0.3375)\tPrec@1 94.531 (93.051)\n",
      "Test: [80/157]\tTime 0.151 (0.156)\tLoss 0.3345 (0.3352)\tPrec@1 93.359 (93.065)\n",
      "Test: [90/157]\tTime 0.152 (0.156)\tLoss 0.2984 (0.3318)\tPrec@1 92.969 (93.132)\n",
      "Test: [100/157]\tTime 0.143 (0.156)\tLoss 0.1767 (0.3303)\tPrec@1 96.094 (93.170)\n",
      "Test: [110/157]\tTime 0.159 (0.156)\tLoss 0.3124 (0.3293)\tPrec@1 93.359 (93.187)\n",
      "Test: [120/157]\tTime 0.166 (0.156)\tLoss 0.4472 (0.3306)\tPrec@1 92.188 (93.195)\n",
      "Test: [130/157]\tTime 0.161 (0.156)\tLoss 0.3154 (0.3302)\tPrec@1 94.531 (93.183)\n",
      "Test: [140/157]\tTime 0.150 (0.155)\tLoss 0.2883 (0.3275)\tPrec@1 93.359 (93.229)\n",
      "Test: [150/157]\tTime 0.147 (0.155)\tLoss 0.2692 (0.3252)\tPrec@1 94.531 (93.253)\n",
      " * Prec@1 93.245\n",
      "Epoch: [190][0/118]\tTime 0.264 (0.264)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][10/118]\tTime 0.522 (0.514)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][20/118]\tTime 0.510 (0.517)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][30/118]\tTime 0.562 (0.521)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][40/118]\tTime 0.504 (0.524)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][50/118]\tTime 0.532 (0.522)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][60/118]\tTime 0.515 (0.522)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][70/118]\tTime 0.554 (0.524)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][80/118]\tTime 0.535 (0.525)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][90/118]\tTime 0.588 (0.526)\tLoss 0.0016 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][100/118]\tTime 0.509 (0.525)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [190][110/118]\tTime 0.542 (0.526)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.284 (0.284)\tLoss 0.2732 (0.2732)\tPrec@1 93.750 (93.750)\n",
      "Test: [10/157]\tTime 0.160 (0.165)\tLoss 0.3202 (0.3064)\tPrec@1 94.141 (93.679)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [20/157]\tTime 0.141 (0.160)\tLoss 0.3306 (0.3387)\tPrec@1 93.750 (93.248)\n",
      "Test: [30/157]\tTime 0.146 (0.156)\tLoss 0.4064 (0.3232)\tPrec@1 89.844 (93.359)\n",
      "Test: [40/157]\tTime 0.146 (0.155)\tLoss 0.4710 (0.3356)\tPrec@1 91.016 (93.207)\n",
      "Test: [50/157]\tTime 0.143 (0.153)\tLoss 0.2330 (0.3300)\tPrec@1 94.922 (93.352)\n",
      "Test: [60/157]\tTime 0.151 (0.154)\tLoss 0.4673 (0.3338)\tPrec@1 91.406 (93.283)\n",
      "Test: [70/157]\tTime 0.176 (0.154)\tLoss 0.1834 (0.3315)\tPrec@1 96.094 (93.277)\n",
      "Test: [80/157]\tTime 0.156 (0.154)\tLoss 0.4254 (0.3343)\tPrec@1 91.016 (93.181)\n",
      "Test: [90/157]\tTime 0.141 (0.155)\tLoss 0.1703 (0.3326)\tPrec@1 94.531 (93.166)\n",
      "Test: [100/157]\tTime 0.158 (0.155)\tLoss 0.2634 (0.3314)\tPrec@1 94.141 (93.197)\n",
      "Test: [110/157]\tTime 0.154 (0.155)\tLoss 0.3970 (0.3323)\tPrec@1 92.578 (93.201)\n",
      "Test: [120/157]\tTime 0.147 (0.155)\tLoss 0.2869 (0.3299)\tPrec@1 92.578 (93.201)\n",
      "Test: [130/157]\tTime 0.151 (0.155)\tLoss 0.2894 (0.3267)\tPrec@1 95.312 (93.282)\n",
      "Test: [140/157]\tTime 0.144 (0.155)\tLoss 0.3222 (0.3293)\tPrec@1 93.359 (93.210)\n",
      "Test: [150/157]\tTime 0.190 (0.155)\tLoss 0.3247 (0.3271)\tPrec@1 93.750 (93.243)\n",
      " * Prec@1 93.220\n",
      "Epoch: [191][0/118]\tTime 0.246 (0.246)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][10/118]\tTime 0.518 (0.501)\tLoss 0.0022 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][20/118]\tTime 0.528 (0.513)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][30/118]\tTime 0.518 (0.517)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][40/118]\tTime 0.494 (0.519)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][50/118]\tTime 0.542 (0.521)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][60/118]\tTime 0.506 (0.522)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][70/118]\tTime 0.540 (0.523)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][80/118]\tTime 0.599 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][90/118]\tTime 0.493 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][100/118]\tTime 0.529 (0.526)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [191][110/118]\tTime 0.498 (0.526)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.283 (0.283)\tLoss 0.2657 (0.2657)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.149 (0.165)\tLoss 0.3210 (0.3298)\tPrec@1 92.969 (93.182)\n",
      "Test: [20/157]\tTime 0.147 (0.159)\tLoss 0.4236 (0.3297)\tPrec@1 91.406 (93.006)\n",
      "Test: [30/157]\tTime 0.144 (0.155)\tLoss 0.2737 (0.3347)\tPrec@1 93.750 (92.893)\n",
      "Test: [40/157]\tTime 0.142 (0.156)\tLoss 0.2379 (0.3258)\tPrec@1 95.312 (93.026)\n",
      "Test: [50/157]\tTime 0.160 (0.156)\tLoss 0.3129 (0.3239)\tPrec@1 94.141 (93.084)\n",
      "Test: [60/157]\tTime 0.161 (0.155)\tLoss 0.4724 (0.3318)\tPrec@1 91.016 (93.014)\n",
      "Test: [70/157]\tTime 0.145 (0.154)\tLoss 0.2049 (0.3287)\tPrec@1 94.531 (93.062)\n",
      "Test: [80/157]\tTime 0.187 (0.155)\tLoss 0.2778 (0.3292)\tPrec@1 94.531 (93.099)\n",
      "Test: [90/157]\tTime 0.161 (0.155)\tLoss 0.4500 (0.3296)\tPrec@1 92.188 (93.102)\n",
      "Test: [100/157]\tTime 0.165 (0.155)\tLoss 0.3563 (0.3293)\tPrec@1 91.016 (93.096)\n",
      "Test: [110/157]\tTime 0.139 (0.155)\tLoss 0.2540 (0.3273)\tPrec@1 93.750 (93.127)\n",
      "Test: [120/157]\tTime 0.174 (0.155)\tLoss 0.2751 (0.3241)\tPrec@1 93.359 (93.172)\n",
      "Test: [130/157]\tTime 0.142 (0.155)\tLoss 0.3195 (0.3243)\tPrec@1 92.188 (93.186)\n",
      "Test: [140/157]\tTime 0.148 (0.155)\tLoss 0.3341 (0.3231)\tPrec@1 91.406 (93.204)\n",
      "Test: [150/157]\tTime 0.142 (0.155)\tLoss 0.2449 (0.3231)\tPrec@1 95.312 (93.209)\n",
      " * Prec@1 93.225\n",
      "Epoch: [192][0/118]\tTime 0.253 (0.253)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][10/118]\tTime 0.543 (0.502)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][20/118]\tTime 0.510 (0.517)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][30/118]\tTime 0.507 (0.520)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][40/118]\tTime 0.503 (0.521)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][50/118]\tTime 0.529 (0.522)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][60/118]\tTime 0.597 (0.523)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][70/118]\tTime 0.526 (0.523)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][80/118]\tTime 0.564 (0.523)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][90/118]\tTime 0.510 (0.523)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][100/118]\tTime 0.538 (0.524)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [192][110/118]\tTime 0.500 (0.527)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.289 (0.289)\tLoss 0.2072 (0.2072)\tPrec@1 94.531 (94.531)\n",
      "Test: [10/157]\tTime 0.153 (0.172)\tLoss 0.3404 (0.2779)\tPrec@1 93.750 (93.892)\n",
      "Test: [20/157]\tTime 0.145 (0.161)\tLoss 0.3538 (0.2883)\tPrec@1 92.969 (93.713)\n",
      "Test: [30/157]\tTime 0.144 (0.158)\tLoss 0.2697 (0.2982)\tPrec@1 95.312 (93.662)\n",
      "Test: [40/157]\tTime 0.154 (0.155)\tLoss 0.3200 (0.3045)\tPrec@1 93.750 (93.559)\n",
      "Test: [50/157]\tTime 0.142 (0.155)\tLoss 0.3419 (0.3113)\tPrec@1 94.141 (93.528)\n",
      "Test: [60/157]\tTime 0.153 (0.155)\tLoss 0.2183 (0.3176)\tPrec@1 94.531 (93.436)\n",
      "Test: [70/157]\tTime 0.146 (0.154)\tLoss 0.2407 (0.3210)\tPrec@1 94.531 (93.392)\n",
      "Test: [80/157]\tTime 0.146 (0.155)\tLoss 0.2818 (0.3216)\tPrec@1 94.141 (93.403)\n",
      "Test: [90/157]\tTime 0.145 (0.154)\tLoss 0.3528 (0.3182)\tPrec@1 92.188 (93.441)\n",
      "Test: [100/157]\tTime 0.146 (0.154)\tLoss 0.2640 (0.3196)\tPrec@1 95.312 (93.371)\n",
      "Test: [110/157]\tTime 0.147 (0.153)\tLoss 0.3051 (0.3221)\tPrec@1 93.750 (93.321)\n",
      "Test: [120/157]\tTime 0.159 (0.154)\tLoss 0.3051 (0.3237)\tPrec@1 92.969 (93.288)\n",
      "Test: [130/157]\tTime 0.170 (0.154)\tLoss 0.3631 (0.3237)\tPrec@1 91.797 (93.279)\n",
      "Test: [140/157]\tTime 0.145 (0.154)\tLoss 0.2717 (0.3253)\tPrec@1 94.141 (93.226)\n",
      "Test: [150/157]\tTime 0.143 (0.154)\tLoss 0.2521 (0.3254)\tPrec@1 93.750 (93.233)\n",
      " * Prec@1 93.228\n",
      "Epoch: [193][0/118]\tTime 0.280 (0.280)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][10/118]\tTime 0.545 (0.515)\tLoss 0.0011 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][20/118]\tTime 0.553 (0.525)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][30/118]\tTime 0.527 (0.526)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][40/118]\tTime 0.522 (0.526)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][50/118]\tTime 0.500 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][60/118]\tTime 0.503 (0.525)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][70/118]\tTime 0.518 (0.524)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][80/118]\tTime 0.518 (0.524)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][90/118]\tTime 0.548 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][100/118]\tTime 0.514 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [193][110/118]\tTime 0.566 (0.526)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.299 (0.299)\tLoss 0.2575 (0.2575)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.143 (0.162)\tLoss 0.3886 (0.3172)\tPrec@1 93.750 (93.288)\n",
      "Test: [20/157]\tTime 0.152 (0.157)\tLoss 0.4319 (0.3323)\tPrec@1 91.406 (93.025)\n",
      "Test: [30/157]\tTime 0.153 (0.155)\tLoss 0.3623 (0.3366)\tPrec@1 92.188 (92.981)\n",
      "Test: [40/157]\tTime 0.149 (0.154)\tLoss 0.3623 (0.3394)\tPrec@1 92.578 (92.883)\n",
      "Test: [50/157]\tTime 0.146 (0.154)\tLoss 0.4966 (0.3425)\tPrec@1 91.797 (92.877)\n",
      "Test: [60/157]\tTime 0.148 (0.155)\tLoss 0.1460 (0.3320)\tPrec@1 95.703 (93.033)\n",
      "Test: [70/157]\tTime 0.152 (0.155)\tLoss 0.4534 (0.3272)\tPrec@1 90.625 (93.128)\n",
      "Test: [80/157]\tTime 0.162 (0.156)\tLoss 0.3853 (0.3307)\tPrec@1 91.406 (93.056)\n",
      "Test: [90/157]\tTime 0.149 (0.156)\tLoss 0.2649 (0.3309)\tPrec@1 94.531 (93.046)\n",
      "Test: [100/157]\tTime 0.147 (0.157)\tLoss 0.4317 (0.3326)\tPrec@1 92.188 (93.050)\n",
      "Test: [110/157]\tTime 0.150 (0.156)\tLoss 0.4671 (0.3315)\tPrec@1 92.188 (93.074)\n",
      "Test: [120/157]\tTime 0.149 (0.156)\tLoss 0.2723 (0.3316)\tPrec@1 94.531 (93.069)\n",
      "Test: [130/157]\tTime 0.148 (0.156)\tLoss 0.2670 (0.3302)\tPrec@1 92.969 (93.097)\n",
      "Test: [140/157]\tTime 0.145 (0.155)\tLoss 0.3283 (0.3262)\tPrec@1 94.141 (93.193)\n",
      "Test: [150/157]\tTime 0.153 (0.155)\tLoss 0.4365 (0.3262)\tPrec@1 90.625 (93.160)\n",
      " * Prec@1 93.170\n",
      "Epoch: [194][0/118]\tTime 0.311 (0.311)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][10/118]\tTime 0.531 (0.517)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: [194][20/118]\tTime 0.528 (0.519)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][30/118]\tTime 0.527 (0.520)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][40/118]\tTime 0.528 (0.523)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][50/118]\tTime 0.526 (0.527)\tLoss 0.0017 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][60/118]\tTime 0.509 (0.525)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][70/118]\tTime 0.508 (0.524)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][80/118]\tTime 0.575 (0.527)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][90/118]\tTime 0.508 (0.527)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][100/118]\tTime 0.541 (0.526)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [194][110/118]\tTime 0.524 (0.527)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.275 (0.275)\tLoss 0.2229 (0.2229)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.163 (0.160)\tLoss 0.2930 (0.2847)\tPrec@1 94.141 (93.714)\n",
      "Test: [20/157]\tTime 0.141 (0.157)\tLoss 0.2703 (0.3042)\tPrec@1 93.750 (93.452)\n",
      "Test: [30/157]\tTime 0.144 (0.158)\tLoss 0.2914 (0.3130)\tPrec@1 92.969 (93.259)\n",
      "Test: [40/157]\tTime 0.141 (0.157)\tLoss 0.2385 (0.3108)\tPrec@1 95.703 (93.312)\n",
      "Test: [50/157]\tTime 0.165 (0.155)\tLoss 0.1766 (0.3118)\tPrec@1 94.922 (93.329)\n",
      "Test: [60/157]\tTime 0.150 (0.155)\tLoss 0.3167 (0.3187)\tPrec@1 93.750 (93.327)\n",
      "Test: [70/157]\tTime 0.147 (0.154)\tLoss 0.4949 (0.3239)\tPrec@1 89.453 (93.282)\n",
      "Test: [80/157]\tTime 0.151 (0.154)\tLoss 0.2749 (0.3261)\tPrec@1 91.797 (93.195)\n",
      "Test: [90/157]\tTime 0.162 (0.154)\tLoss 0.4110 (0.3291)\tPrec@1 90.234 (93.145)\n",
      "Test: [100/157]\tTime 0.169 (0.154)\tLoss 0.2829 (0.3278)\tPrec@1 94.922 (93.216)\n",
      "Test: [110/157]\tTime 0.168 (0.154)\tLoss 0.3039 (0.3266)\tPrec@1 92.969 (93.229)\n",
      "Test: [120/157]\tTime 0.158 (0.154)\tLoss 0.3615 (0.3283)\tPrec@1 90.234 (93.182)\n",
      "Test: [130/157]\tTime 0.155 (0.154)\tLoss 0.1953 (0.3283)\tPrec@1 93.750 (93.183)\n",
      "Test: [140/157]\tTime 0.153 (0.154)\tLoss 0.4201 (0.3276)\tPrec@1 91.797 (93.190)\n",
      "Test: [150/157]\tTime 0.157 (0.154)\tLoss 0.3040 (0.3254)\tPrec@1 93.359 (93.225)\n",
      " * Prec@1 93.245\n",
      "Epoch: [195][0/118]\tTime 0.255 (0.255)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][10/118]\tTime 0.558 (0.498)\tLoss 0.0020 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][20/118]\tTime 0.508 (0.513)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][30/118]\tTime 0.571 (0.519)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][40/118]\tTime 0.511 (0.520)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][50/118]\tTime 0.521 (0.523)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][60/118]\tTime 0.520 (0.524)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][70/118]\tTime 0.523 (0.525)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][80/118]\tTime 0.514 (0.524)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][90/118]\tTime 0.520 (0.524)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][100/118]\tTime 0.502 (0.524)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [195][110/118]\tTime 0.520 (0.523)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.300 (0.300)\tLoss 0.3579 (0.3579)\tPrec@1 94.141 (94.141)\n",
      "Test: [10/157]\tTime 0.150 (0.166)\tLoss 0.2097 (0.3658)\tPrec@1 94.922 (92.827)\n",
      "Test: [20/157]\tTime 0.165 (0.160)\tLoss 0.3030 (0.3428)\tPrec@1 94.141 (92.857)\n",
      "Test: [30/157]\tTime 0.150 (0.156)\tLoss 0.2762 (0.3254)\tPrec@1 92.969 (93.032)\n",
      "Test: [40/157]\tTime 0.147 (0.155)\tLoss 0.3341 (0.3275)\tPrec@1 93.750 (93.016)\n",
      "Test: [50/157]\tTime 0.165 (0.155)\tLoss 0.3503 (0.3208)\tPrec@1 91.797 (93.068)\n",
      "Test: [60/157]\tTime 0.151 (0.155)\tLoss 0.4648 (0.3284)\tPrec@1 91.016 (93.090)\n",
      "Test: [70/157]\tTime 0.151 (0.155)\tLoss 0.3275 (0.3247)\tPrec@1 92.578 (93.128)\n",
      "Test: [80/157]\tTime 0.155 (0.154)\tLoss 0.2856 (0.3232)\tPrec@1 92.969 (93.186)\n",
      "Test: [90/157]\tTime 0.156 (0.154)\tLoss 0.2574 (0.3231)\tPrec@1 94.531 (93.183)\n",
      "Test: [100/157]\tTime 0.145 (0.155)\tLoss 0.3297 (0.3235)\tPrec@1 92.188 (93.170)\n",
      "Test: [110/157]\tTime 0.151 (0.155)\tLoss 0.3366 (0.3227)\tPrec@1 91.406 (93.155)\n",
      "Test: [120/157]\tTime 0.159 (0.154)\tLoss 0.3300 (0.3246)\tPrec@1 93.750 (93.104)\n",
      "Test: [130/157]\tTime 0.150 (0.154)\tLoss 0.3281 (0.3254)\tPrec@1 92.188 (93.112)\n",
      "Test: [140/157]\tTime 0.145 (0.154)\tLoss 0.2489 (0.3220)\tPrec@1 93.750 (93.179)\n",
      "Test: [150/157]\tTime 0.145 (0.154)\tLoss 0.3591 (0.3252)\tPrec@1 93.750 (93.150)\n",
      " * Prec@1 93.165\n",
      "Epoch: [196][0/118]\tTime 0.255 (0.255)\tLoss 0.0010 (0.0010)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][10/118]\tTime 0.546 (0.514)\tLoss 0.0013 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][20/118]\tTime 0.522 (0.520)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][30/118]\tTime 0.510 (0.521)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][40/118]\tTime 0.516 (0.521)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][50/118]\tTime 0.509 (0.524)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][60/118]\tTime 0.528 (0.523)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][70/118]\tTime 0.506 (0.524)\tLoss 0.0010 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][80/118]\tTime 0.524 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][90/118]\tTime 0.576 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][100/118]\tTime 0.545 (0.526)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [196][110/118]\tTime 0.529 (0.526)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.3973 (0.3973)\tPrec@1 92.188 (92.188)\n",
      "Test: [10/157]\tTime 0.166 (0.174)\tLoss 0.2215 (0.2975)\tPrec@1 95.703 (93.501)\n",
      "Test: [20/157]\tTime 0.151 (0.165)\tLoss 0.2204 (0.3007)\tPrec@1 95.703 (93.545)\n",
      "Test: [30/157]\tTime 0.182 (0.162)\tLoss 0.3353 (0.3161)\tPrec@1 92.188 (93.208)\n",
      "Test: [40/157]\tTime 0.141 (0.160)\tLoss 0.1982 (0.3143)\tPrec@1 94.531 (93.236)\n",
      "Test: [50/157]\tTime 0.171 (0.159)\tLoss 0.2058 (0.3112)\tPrec@1 95.703 (93.313)\n",
      "Test: [60/157]\tTime 0.152 (0.158)\tLoss 0.3471 (0.3124)\tPrec@1 92.969 (93.372)\n",
      "Test: [70/157]\tTime 0.167 (0.158)\tLoss 0.3388 (0.3112)\tPrec@1 90.625 (93.365)\n",
      "Test: [80/157]\tTime 0.143 (0.157)\tLoss 0.4076 (0.3132)\tPrec@1 92.969 (93.355)\n",
      "Test: [90/157]\tTime 0.155 (0.156)\tLoss 0.2451 (0.3160)\tPrec@1 94.531 (93.368)\n",
      "Test: [100/157]\tTime 0.144 (0.156)\tLoss 0.3849 (0.3170)\tPrec@1 92.969 (93.352)\n",
      "Test: [110/157]\tTime 0.157 (0.156)\tLoss 0.2238 (0.3201)\tPrec@1 95.312 (93.338)\n",
      "Test: [120/157]\tTime 0.153 (0.157)\tLoss 0.3054 (0.3225)\tPrec@1 93.750 (93.317)\n",
      "Test: [130/157]\tTime 0.145 (0.156)\tLoss 0.3057 (0.3229)\tPrec@1 93.359 (93.306)\n",
      "Test: [140/157]\tTime 0.148 (0.156)\tLoss 0.2489 (0.3234)\tPrec@1 94.531 (93.254)\n",
      "Test: [150/157]\tTime 0.148 (0.156)\tLoss 0.4341 (0.3252)\tPrec@1 91.406 (93.227)\n",
      " * Prec@1 93.198\n",
      "Epoch: [197][0/118]\tTime 0.290 (0.290)\tLoss 0.0012 (0.0012)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][10/118]\tTime 0.512 (0.509)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][20/118]\tTime 0.521 (0.517)\tLoss 0.0014 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][30/118]\tTime 0.523 (0.519)\tLoss 0.0015 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][40/118]\tTime 0.559 (0.522)\tLoss 0.0011 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][50/118]\tTime 0.534 (0.521)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][60/118]\tTime 0.527 (0.523)\tLoss 0.0012 (0.0013)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][70/118]\tTime 0.533 (0.524)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][80/118]\tTime 0.500 (0.523)\tLoss 0.0018 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][90/118]\tTime 0.537 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][100/118]\tTime 0.518 (0.524)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [197][110/118]\tTime 0.500 (0.525)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.287 (0.287)\tLoss 0.3423 (0.3423)\tPrec@1 92.969 (92.969)\n",
      "Test: [10/157]\tTime 0.147 (0.166)\tLoss 0.2221 (0.3381)\tPrec@1 96.094 (93.075)\n",
      "Test: [20/157]\tTime 0.145 (0.157)\tLoss 0.3720 (0.3387)\tPrec@1 92.188 (93.099)\n",
      "Test: [30/157]\tTime 0.170 (0.156)\tLoss 0.2104 (0.3466)\tPrec@1 94.531 (92.931)\n",
      "Test: [40/157]\tTime 0.174 (0.156)\tLoss 0.4037 (0.3393)\tPrec@1 92.969 (93.026)\n",
      "Test: [50/157]\tTime 0.143 (0.156)\tLoss 0.1895 (0.3396)\tPrec@1 95.703 (93.007)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test: [60/157]\tTime 0.174 (0.156)\tLoss 0.1658 (0.3452)\tPrec@1 95.312 (92.950)\n",
      "Test: [70/157]\tTime 0.148 (0.156)\tLoss 0.1822 (0.3386)\tPrec@1 95.312 (93.029)\n",
      "Test: [80/157]\tTime 0.157 (0.156)\tLoss 0.4282 (0.3355)\tPrec@1 93.359 (93.036)\n",
      "Test: [90/157]\tTime 0.173 (0.156)\tLoss 0.2380 (0.3332)\tPrec@1 94.141 (93.059)\n",
      "Test: [100/157]\tTime 0.145 (0.155)\tLoss 0.2661 (0.3297)\tPrec@1 94.922 (93.151)\n",
      "Test: [110/157]\tTime 0.149 (0.155)\tLoss 0.1836 (0.3298)\tPrec@1 96.094 (93.183)\n",
      "Test: [120/157]\tTime 0.148 (0.155)\tLoss 0.3985 (0.3287)\tPrec@1 91.016 (93.195)\n",
      "Test: [130/157]\tTime 0.142 (0.155)\tLoss 0.4398 (0.3317)\tPrec@1 92.969 (93.160)\n",
      "Test: [140/157]\tTime 0.146 (0.155)\tLoss 0.2821 (0.3307)\tPrec@1 94.531 (93.185)\n",
      "Test: [150/157]\tTime 0.169 (0.155)\tLoss 0.4176 (0.3335)\tPrec@1 89.453 (93.103)\n",
      " * Prec@1 93.078\n",
      "Epoch: [198][0/118]\tTime 0.277 (0.277)\tLoss 0.0011 (0.0011)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][10/118]\tTime 0.533 (0.503)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][20/118]\tTime 0.518 (0.512)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][30/118]\tTime 0.544 (0.523)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][40/118]\tTime 0.515 (0.529)\tLoss 0.0011 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][50/118]\tTime 0.572 (0.527)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][60/118]\tTime 0.519 (0.528)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][70/118]\tTime 0.544 (0.528)\tLoss 0.0015 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][80/118]\tTime 0.502 (0.528)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][90/118]\tTime 0.522 (0.528)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][100/118]\tTime 0.510 (0.528)\tLoss 0.0012 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [198][110/118]\tTime 0.559 (0.528)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.293 (0.293)\tLoss 0.2871 (0.2871)\tPrec@1 95.312 (95.312)\n",
      "Test: [10/157]\tTime 0.144 (0.169)\tLoss 0.3844 (0.3606)\tPrec@1 92.188 (92.756)\n",
      "Test: [20/157]\tTime 0.146 (0.161)\tLoss 0.0938 (0.3528)\tPrec@1 96.875 (92.857)\n",
      "Test: [30/157]\tTime 0.164 (0.158)\tLoss 0.4319 (0.3453)\tPrec@1 91.016 (92.956)\n",
      "Test: [40/157]\tTime 0.149 (0.156)\tLoss 0.3360 (0.3481)\tPrec@1 91.797 (93.016)\n",
      "Test: [50/157]\tTime 0.145 (0.155)\tLoss 0.4535 (0.3500)\tPrec@1 92.188 (93.030)\n",
      "Test: [60/157]\tTime 0.176 (0.155)\tLoss 0.3537 (0.3483)\tPrec@1 92.969 (93.046)\n",
      "Test: [70/157]\tTime 0.146 (0.155)\tLoss 0.2277 (0.3464)\tPrec@1 94.922 (93.018)\n",
      "Test: [80/157]\tTime 0.149 (0.154)\tLoss 0.4103 (0.3433)\tPrec@1 91.797 (93.051)\n",
      "Test: [90/157]\tTime 0.147 (0.154)\tLoss 0.4210 (0.3476)\tPrec@1 91.406 (92.977)\n",
      "Test: [100/157]\tTime 0.144 (0.153)\tLoss 0.2912 (0.3453)\tPrec@1 92.578 (93.000)\n",
      "Test: [110/157]\tTime 0.157 (0.155)\tLoss 0.2796 (0.3444)\tPrec@1 94.141 (92.965)\n",
      "Test: [120/157]\tTime 0.150 (0.155)\tLoss 0.2170 (0.3433)\tPrec@1 93.750 (92.975)\n",
      "Test: [130/157]\tTime 0.172 (0.155)\tLoss 0.3443 (0.3447)\tPrec@1 92.578 (92.933)\n",
      "Test: [140/157]\tTime 0.162 (0.155)\tLoss 0.2685 (0.3449)\tPrec@1 93.359 (92.930)\n",
      "Test: [150/157]\tTime 0.145 (0.154)\tLoss 0.2126 (0.3433)\tPrec@1 95.312 (92.964)\n",
      " * Prec@1 92.995\n",
      "Epoch: [199][0/118]\tTime 0.249 (0.249)\tLoss 0.0019 (0.0019)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][10/118]\tTime 0.525 (0.516)\tLoss 0.0014 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][20/118]\tTime 0.499 (0.518)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][30/118]\tTime 0.535 (0.519)\tLoss 0.0013 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][40/118]\tTime 0.503 (0.521)\tLoss 0.0022 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][50/118]\tTime 0.529 (0.522)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][60/118]\tTime 0.514 (0.524)\tLoss 0.0016 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][70/118]\tTime 0.547 (0.524)\tLoss 0.0017 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][80/118]\tTime 0.505 (0.523)\tLoss 0.0016 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][90/118]\tTime 0.558 (0.524)\tLoss 0.0012 (0.0015)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][100/118]\tTime 0.547 (0.524)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Epoch: [199][110/118]\tTime 0.525 (0.525)\tLoss 0.0014 (0.0014)\tPrec@1 100.000 (100.000)\n",
      "Test: [0/157]\tTime 0.294 (0.294)\tLoss 0.4003 (0.4003)\tPrec@1 91.406 (91.406)\n",
      "Test: [10/157]\tTime 0.140 (0.169)\tLoss 0.2191 (0.3618)\tPrec@1 95.312 (92.401)\n",
      "Test: [20/157]\tTime 0.174 (0.163)\tLoss 0.3120 (0.3317)\tPrec@1 93.359 (92.932)\n",
      "Test: [30/157]\tTime 0.152 (0.158)\tLoss 0.2886 (0.3319)\tPrec@1 95.312 (92.969)\n",
      "Test: [40/157]\tTime 0.142 (0.157)\tLoss 0.3016 (0.3266)\tPrec@1 93.750 (93.064)\n",
      "Test: [50/157]\tTime 0.143 (0.156)\tLoss 0.3356 (0.3225)\tPrec@1 91.406 (93.114)\n",
      "Test: [60/157]\tTime 0.165 (0.156)\tLoss 0.3747 (0.3237)\tPrec@1 92.969 (93.142)\n",
      "Test: [70/157]\tTime 0.171 (0.157)\tLoss 0.2476 (0.3244)\tPrec@1 94.922 (93.145)\n",
      "Test: [80/157]\tTime 0.149 (0.155)\tLoss 0.3824 (0.3273)\tPrec@1 92.188 (93.118)\n",
      "Test: [90/157]\tTime 0.142 (0.156)\tLoss 0.4225 (0.3278)\tPrec@1 91.406 (93.102)\n",
      "Test: [100/157]\tTime 0.154 (0.155)\tLoss 0.3238 (0.3277)\tPrec@1 92.578 (93.104)\n",
      "Test: [110/157]\tTime 0.153 (0.155)\tLoss 0.4032 (0.3278)\tPrec@1 92.969 (93.113)\n",
      "Test: [120/157]\tTime 0.155 (0.155)\tLoss 0.3280 (0.3283)\tPrec@1 93.750 (93.082)\n",
      "Test: [130/157]\tTime 0.166 (0.155)\tLoss 0.3668 (0.3250)\tPrec@1 92.969 (93.169)\n",
      "Test: [140/157]\tTime 0.148 (0.155)\tLoss 0.2669 (0.3250)\tPrec@1 95.312 (93.160)\n",
      "Test: [150/157]\tTime 0.145 (0.154)\tLoss 0.3118 (0.3239)\tPrec@1 94.531 (93.189)\n",
      " * Prec@1 93.177\n",
      "Best accuracy:  93.2775\n",
      "[Total Time Elapsed: {:02d}h {:02d}m {:.2f}s]\n"
     ]
    }
   ],
   "source": [
    "if __name__ == '__main__':\n",
    "    main(hparam)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Best Accuracy: 93.2775"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}