cifar100-20_816_class_incremental.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import numpy as np\n",
    "import argparse\n",
    "import copy\n",
    "# import data_loader\n",
    "import pdb\n",
    "import torch.nn.functional as F\n",
    "import re, random, collections\n",
    "import pickle\n",
    "\n",
    "\n",
    "import os\n",
    "os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\"   # see issue #152\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]='2'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class args():\n",
    "\n",
    "    data_path = \"./Datasets/CIFAR100/\"\n",
    "    num_class = 100\n",
    "    class_per_task = 5\n",
    "    num_task = 20\n",
    "    dataset = \"cifar100\"\n",
    "    train_batch = 128\n",
    "    test_batch = 128\n",
    "    workers = 16\n",
    "    \n",
    "    random_classes = False\n",
    "    validation = 0\n",
    "    overflow=False\n",
    "    \n",
    "    batch_size=128\n",
    "    lr=0.01\n",
    "    resume=False\n",
    "    total_epoch=250\n",
    "    model_path='ckpt816/cifar100-20'\n",
    "    \n",
    "args=args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def set_seed(seed):\n",
    "    torch.backends.cudnn.deterministic = True\n",
    "    torch.backends.cudnn.benchmark = False\n",
    "    torch.manual_seed(seed)\n",
    "    torch.cuda.manual_seed_all(seed)\n",
    "    np.random.seed(seed)\n",
    "    random.seed(seed)\n",
    "    \n",
    "# seed=torch.randint(1,10000,[1])   \n",
    "set_seed(3473)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.optim as optim\n",
    "import torch.backends.cudnn as cudnn\n",
    "from torch.utils.data import DataLoader\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "import argparse\n",
    "# from utils import progress_bar\n",
    "from torch.optim.lr_scheduler import MultiStepLR\n",
    "torch.set_printoptions(precision=5,sci_mode=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ConvAdapt(nn.Module):\n",
    "    def __init__(self, in_channels, out_channels, p):\n",
    "        super(ConvAdapt, self).__init__()\n",
    "        # Groupwise Convolution\n",
    "        self.gwc = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1, groups=int(p/gp), bias=True)\n",
    "        # Pointwise Convolution\n",
    "        self.pwc = nn.Conv2d(in_channels, out_channels, kernel_size=1, groups=int(p/pt),bias=True)\n",
    "\n",
    "    def forward(self, x):\n",
    "        return self.gwc(x) + self.pwc(x)\n",
    "\n",
    "'''ResNet in PyTorch.\n",
    "\n",
    "For Pre-activation ResNet, see 'preact_resnet.py'.\n",
    "\n",
    "Reference:\n",
    "[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun\n",
    "    Deep Residual Learning for Image Recognition. arXiv:1512.03385\n",
    "'''\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "\n",
    "class BasicBlock(nn.Module):\n",
    "    expansion = 1\n",
    "\n",
    "    def __init__(self, in_planes, planes, stride=1):\n",
    "        super(BasicBlock, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(in_planes, planes, kernel_size=3, stride=stride, padding=1, bias=False)\n",
    "        self.lhc1=ConvAdapt(planes,planes,planes)\n",
    "        self.bn1 = nn.BatchNorm2d(planes)\n",
    "        self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=1, padding=1, bias=False)\n",
    "        self.lhc2=ConvAdapt(planes,planes,planes)\n",
    "        self.bn2 = nn.BatchNorm2d(planes)\n",
    "\n",
    "        self.shortcut = nn.Sequential()\n",
    "        if stride != 1 or in_planes != self.expansion*planes:\n",
    "            self.shortcut = nn.Sequential(\n",
    "                nn.Conv2d(in_planes, self.expansion*planes, kernel_size=1, stride=stride, bias=False),\n",
    "                ConvAdapt(self.expansion*planes,self.expansion*planes,int(self.expansion*planes)),\n",
    "                nn.BatchNorm2d(self.expansion*planes)\n",
    "            )\n",
    "\n",
    "    def forward(self, x):\n",
    "        out = F.relu(self.bn1(self.lhc1(self.conv1(x))))\n",
    "        out = self.bn2(self.lhc2(self.conv2(out)))\n",
    "        out += self.shortcut(x)\n",
    "        out = F.relu(out)\n",
    "        return out\n",
    "\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "    def __init__(self, block, num_blocks, num_classes=args.class_per_task):\n",
    "        super(ResNet, self).__init__()\n",
    "        self.in_planes = 64\n",
    "\n",
    "        self.conv1 = nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1, bias=False)\n",
    "        self.hc1=ConvAdapt(64,64,64)\n",
    "        self.bn1 = nn.BatchNorm2d(64)\n",
    "        self.layer1 = self._make_layer(block, 64, num_blocks[0], stride=1)\n",
    "        self.layer2 = self._make_layer(block, 128, num_blocks[1], stride=2)\n",
    "        self.layer3 = self._make_layer(block, 256, num_blocks[2], stride=2)\n",
    "        self.layer4 = self._make_layer(block, 512, num_blocks[3], stride=2)\n",
    "        self.linear = nn.Linear(512*block.expansion, num_classes)\n",
    "\n",
    "    def _make_layer(self, block, planes, num_blocks, stride):\n",
    "        strides = [stride] + [1]*(num_blocks-1)\n",
    "        layers = []\n",
    "        for stride in strides:\n",
    "            layers.append(block(self.in_planes, planes, stride))\n",
    "            self.in_planes = planes * block.expansion\n",
    "        return nn.Sequential(*layers)\n",
    "\n",
    "    def forward(self, x):\n",
    "        out=self.conv1(x)\n",
    "        out = F.relu(self.bn1(out))\n",
    "        out = self.layer1(out)\n",
    "        out = self.layer2(out)\n",
    "        out = self.layer3(out)\n",
    "        out = self.layer4(out)\n",
    "        out = F.avg_pool2d(out, 4)\n",
    "        feat = out.view(out.size(0), -1)\n",
    "        out = self.linear(feat)\n",
    "        return out,feat\n",
    "\n",
    "\n",
    "def Net():\n",
    "    return ResNet(BasicBlock, [2,2,2,2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_model(task,acc,model):\n",
    "    print('Saving..')\n",
    "    statem = {\n",
    "        'net': model.state_dict(),\n",
    "        'acc': acc,\n",
    "    }\n",
    "    fname=args.model_path\n",
    "    if not os.path.isdir(fname):\n",
    "        os.makedirs(fname)\n",
    "    torch.save(statem, fname+'/ckpt_task'+str(task)+'.pth')\n",
    "\n",
    "        \n",
    "def load_model(task,model):\n",
    "    fname=args.model_path\n",
    "    # Load checkpoint.\n",
    "    print('==> Resuming from checkpoint..')\n",
    "    print(fname+'/ckpt_task'+str(task)+'.pth')\n",
    "    checkpoint = torch.load(fname+'/ckpt_task'+str(task)+'.pth')\n",
    "    model.load_state_dict(checkpoint['net'])\n",
    "    best_acc = checkpoint['acc']\n",
    "    return best_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(train_loader,epoch,task,model,task_model):\n",
    "    print('\\nEpoch: %d' % epoch)\n",
    "    model.train()\n",
    "    global best_acc\n",
    "    train_loss = 0\n",
    "    correct = 0\n",
    "    total = 0\n",
    "\n",
    "    Sloss=0\n",
    "    for batch_idx, (inputs, targets) in enumerate(train_loader):\n",
    "        inputs, targets = inputs.cuda(), targets.cuda()\n",
    "        targets=targets-task*args.class_per_task # assume sequential split for random  split mapping should me changed\n",
    "        optimizer.zero_grad()\n",
    "        outputs,feat_current = model(inputs)\n",
    " \n",
    "        loss = criterion(outputs, targets)\n",
    "    \n",
    "        ################################################################################\n",
    "        ############# this is slow version here we dont save \\mu and \\sigma of KLD######\n",
    "        # saving mu and sigma and maximize the distance from the current batch significantly \n",
    "        # speedup the model####\n",
    "        if task>=1:\n",
    "            for m in range(task):\n",
    "                with torch.no_grad():\n",
    "                    task_model[m].eval()\n",
    "                    out,feat_prev=task_model[m](inputs)\n",
    "                mean_loss=torch.max(1-torch.dist(feat_current,feat_prev,2)/args.train_batch,\n",
    "                                    torch.zeros(1).cuda())/task\n",
    "                loss+=0.05*mean_loss[0]\n",
    "        ###################################################################################\n",
    "\n",
    "        loss.backward()\n",
    "        \n",
    "        optimizer.step()\n",
    "\n",
    "        train_loss += loss.item()\n",
    "\n",
    "        _, predicted = outputs.max(1)\n",
    "        total += targets.size(0)\n",
    "        correct += predicted.eq(targets).sum().item()\n",
    "        acc = 100.*correct/total\n",
    "    \n",
    "    print(\"[Train: ], [%d/%d: ], [Accuracy: %f], [Loss: %f] [LossS: %f] [Lr: %f]\" \n",
    "          %(epoch,args.total_epoch,acc, train_loss/batch_idx,Sloss/batch_idx,\n",
    "            optimizer.param_groups[0]['lr']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_task(task,inputs,model,task_model):\n",
    "    joint_entropy=[]\n",
    "    with torch.no_grad():\n",
    "        for m in range(task):\n",
    "            task_model[m].eval()\n",
    "            outputs,_=task_model[m](inputs)\n",
    "\n",
    "            sout=F.softmax(outputs,1)\n",
    "            entropy=-torch.sum(sout*torch.log(sout+0.0001),1)\n",
    "            joint_entropy.append(entropy)\n",
    "\n",
    "        model.eval()\n",
    "        outputs,_=model(inputs)\n",
    "\n",
    "        sout=F.softmax(outputs,1)\n",
    "        entropy=-torch.sum(sout*torch.log(sout+0.0001),1)\n",
    "        joint_entropy.append(entropy)\n",
    "\n",
    "\n",
    "    all_entropy=torch.zeros([joint_entropy[0].shape[0],task+1]).cuda()\n",
    "    for i in range(task+1):\n",
    "        all_entropy[:,i]=joint_entropy[i]\n",
    "    ctask=torch.argmin(all_entropy, axis=1)==task\n",
    "    correct=sum(ctask)\n",
    "    \n",
    "    return ctask, correct,all_entropy\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test(test_loader,task,model,task_model):\n",
    "    global best_acc\n",
    "    model.eval()\n",
    "    test_loss = 0\n",
    "    correct = 0\n",
    "    total = 0\n",
    "    cl_loss=0\n",
    "    tcorrect=0\n",
    "    with torch.no_grad():\n",
    "        for batch_idx, (inputs, targets) in enumerate(test_loader):\n",
    "            inputs, targets1 = inputs.cuda(), targets.cuda()\n",
    "            targets=targets1-task*args.class_per_task\n",
    "            if task>0:\n",
    "                correct_sample,Ncorrect,_=check_task(task,inputs,model,task_model)\n",
    "                tcorrect+=Ncorrect\n",
    "                inputs=inputs[correct_sample]\n",
    "                targets=targets[correct_sample]\n",
    "            if inputs.shape[0]!=0:\n",
    "                outputs,_ = model(inputs)\n",
    "                loss = criterion(outputs, targets)\n",
    "\n",
    "\n",
    "                test_loss += loss.item()\n",
    "                _, predicted = outputs.max(1)\n",
    "                correct += predicted.eq(targets).sum().item()\n",
    "            total += targets1.size(0)\n",
    "    if task>0:\n",
    "        taskC= tcorrect.item()/total\n",
    "    else:\n",
    "        taskC=1.0 \n",
    "    acc = 100.*correct/total\n",
    "    print(\"[Test Accuracy: %f], [Loss: %f] [Correct: %f]\" %(acc,test_loss/batch_idx,taskC))\n",
    "    \n",
    "    \n",
    "    if acc>=best_acc:\n",
    "        save_model(task,acc,model)\n",
    "        best_acc=acc\n",
    "    return acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this false the gradient of the global parameter after the 1st task\n",
    "\n",
    "def grad_false(model):\n",
    "    gradf=[0,7,14,21,28,35,42,49,56,63,70,77,84,91,98,105,112,119,126,133]\n",
    "    i=0\n",
    "    for p in model.parameters():\n",
    "        if i in gradf:\n",
    "            p.requires_grad=False\n",
    "        i=i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "import incremental_dataloader as data\n",
    "inc_dataset = data.IncrementalDataset(\n",
    "                                dataset_name=args.dataset,\n",
    "                                args = args,\n",
    "                                random_order=args.random_classes,\n",
    "                                shuffle=True,\n",
    "                                seed=1,\n",
    "                                batch_size=args.train_batch,\n",
    "                                workers=args.workers,\n",
    "                                validation_split=args.validation,\n",
    "                                increment=args.class_per_task,\n",
    "                            )\n",
    "task_data=[]\n",
    "for i in range(args.num_task):\n",
    "    task_info, train_loader, val_loader, test_loader = inc_dataset.new_task()\n",
    "\n",
    "    task_data.append([train_loader,test_loader])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Task :---0\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 43.080000], [Loss: 1.374101] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.200000], [Loss: 1.987051] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 62.320000], [Loss: 0.979397] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 65.200000], [Loss: 1.147452] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 66.160000], [Loss: 0.877255] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 65.600000], [Loss: 1.175135] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 70.040000], [Loss: 0.810759] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 69.200000], [Loss: 1.028985] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 71.280000], [Loss: 0.777010] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 71.000000], [Loss: 1.019032] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 74.040000], [Loss: 0.689018] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 68.800000], [Loss: 1.110254] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 75.240000], [Loss: 0.661822] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 76.200000], [Loss: 0.773913] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 74.440000], [Loss: 0.666074] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 75.600000], [Loss: 0.821592] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 76.280000], [Loss: 0.630760] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 70.200000], [Loss: 0.962842] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 74.360000], [Loss: 0.664725] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 73.400000], [Loss: 0.831258] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 78.280000], [Loss: 0.590004] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 70.200000], [Loss: 1.019744] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 79.560000], [Loss: 0.565099] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 74.000000], [Loss: 0.875042] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 80.360000], [Loss: 0.525410] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 77.600000], [Loss: 0.789107] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 13\n",
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      "\n",
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     ]
    },
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     "output_type": "stream",
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     ]
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 85.600000], [Loss: 0.708209] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 95\n",
      "[Train: ], [95/250: ], [Accuracy: 96.280000], [Loss: 0.089555] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 81.200000], [Loss: 0.948586] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 96\n",
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      "\n",
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      "\n",
      "Epoch: 98\n",
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      "[Test Accuracy: 80.800000], [Loss: 0.890782] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 99\n",
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      "[Test Accuracy: 81.000000], [Loss: 0.961804] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 100\n",
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      "[Test Accuracy: 84.400000], [Loss: 0.673107] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 101\n",
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      "[Test Accuracy: 85.600000], [Loss: 0.648552] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 102\n",
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      "Saving..\n",
      "\n",
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      "[Test Accuracy: 86.600000], [Loss: 0.607398] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 104\n",
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      "[Test Accuracy: 86.200000], [Loss: 0.606743] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 105\n",
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      "Saving..\n",
      "\n",
      "Epoch: 106\n",
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      "Saving..\n",
      "\n",
      "Epoch: 107\n",
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      "Saving..\n",
      "\n",
      "Epoch: 108\n",
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      "\n",
      "Epoch: 109\n",
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      "[Test Accuracy: 88.400000], [Loss: 0.594121] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
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      "\n",
      "Epoch: 111\n",
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      "[Test Accuracy: 87.000000], [Loss: 0.590741] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 112\n",
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      "\n",
      "Epoch: 113\n",
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      "[Test Accuracy: 87.400000], [Loss: 0.588529] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 114\n",
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      "[Test Accuracy: 87.400000], [Loss: 0.580817] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 115\n",
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      "\n",
      "Epoch: 116\n",
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      "[Test Accuracy: 88.400000], [Loss: 0.585353] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 117\n",
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      "[Test Accuracy: 88.600000], [Loss: 0.585376] [Correct: 1.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 118\n",
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      "\n",
      "Epoch: 119\n",
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      "\n",
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      "\n",
      "Epoch: 121\n",
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      "\n",
      "Epoch: 122\n",
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      "\n",
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      "\n",
      "Epoch: 124\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 128\n",
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      "\n",
      "Epoch: 129\n",
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      "\n",
      "Epoch: 130\n",
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      "\n",
      "Epoch: 131\n",
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      "Saving..\n",
      "\n",
      "Epoch: 132\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.567790] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 133\n",
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      "\n",
      "Epoch: 134\n",
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      "[Test Accuracy: 88.400000], [Loss: 0.570381] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 135\n",
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      "\n",
      "Epoch: 136\n",
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      "\n",
      "Epoch: 137\n",
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      "[Test Accuracy: 88.600000], [Loss: 0.577305] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 138\n",
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      "\n",
      "Epoch: 139\n",
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      "\n",
      "Epoch: 140\n",
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      "[Test Accuracy: 87.600000], [Loss: 0.585482] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 141\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 87.800000], [Loss: 0.582903] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 142\n",
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      "\n",
      "Epoch: 143\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 146\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 87.800000], [Loss: 0.577817] [Correct: 1.000000]\n",
      "\n",
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      "\n",
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      "\n",
      "Epoch: 181\n",
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      "\n",
      "Epoch: 182\n",
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      "[Test Accuracy: 88.000000], [Loss: 0.575199] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 183\n",
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      "[Test Accuracy: 87.800000], [Loss: 0.573946] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 184\n",
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      "\n",
      "Epoch: 185\n",
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      "[Test Accuracy: 87.800000], [Loss: 0.576165] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 186\n",
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      "[Test Accuracy: 87.600000], [Loss: 0.579094] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 187\n",
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      "[Test Accuracy: 88.000000], [Loss: 0.576856] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 188\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 87.800000], [Loss: 0.573186] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 189\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 192\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.572670] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 193\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 205\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 210\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 216\n",
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      "\n",
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      "\n",
      "Epoch: 218\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 221\n",
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      "\n",
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      "\n",
      "Epoch: 223\n",
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      "\n",
      "Epoch: 224\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 88.000000], [Loss: 0.573540] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 229\n",
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      "\n",
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      "[Test Accuracy: 87.800000], [Loss: 0.580654] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 231\n",
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      "[Test Accuracy: 88.000000], [Loss: 0.577121] [Correct: 1.000000]\n",
      "\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.574820] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 233\n",
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      "\n",
      "Epoch: 234\n",
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      "\n",
      "Epoch: 235\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 87.800000], [Loss: 0.573133] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.920000], [Loss: 0.005100] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.200000], [Loss: 0.573575] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 237\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.573285] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 238\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.573740] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 100.000000], [Loss: 0.004506] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.000000], [Loss: 0.574801] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 100.000000], [Loss: 0.004731] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.000000], [Loss: 0.571389] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 241\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.574045] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 242\n",
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      "\n",
      "Epoch: 243\n",
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      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 100.000000], [Loss: 0.005753] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 87.600000], [Loss: 0.574637] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 100.000000], [Loss: 0.004408] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.000000], [Loss: 0.571256] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 246\n",
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      "[Test Accuracy: 88.200000], [Loss: 0.571869] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.960000], [Loss: 0.005265] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.000000], [Loss: 0.568753] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.960000], [Loss: 0.005352] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.200000], [Loss: 0.571970] [Correct: 1.000000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 100.000000], [Loss: 0.005066] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 88.000000], [Loss: 0.571096] [Correct: 1.000000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task0.pth\n",
      "Task: 0  Test_accuracy: 88.8\n",
      "Training Task :---1\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task0.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 45.920000], [Loss: 2.422725] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.600000], [Loss: 0.904141] [Correct: 0.108000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 66.240000], [Loss: 1.014803] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.800000], [Loss: 0.508802] [Correct: 0.196000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 71.400000], [Loss: 0.816290] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.400000], [Loss: 0.673262] [Correct: 0.330000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 75.320000], [Loss: 0.718416] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.476046] [Correct: 0.350000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 79.320000], [Loss: 0.627161] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 37.000000], [Loss: 0.580211] [Correct: 0.422000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 81.040000], [Loss: 0.569531] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.000000], [Loss: 0.448440] [Correct: 0.472000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 83.240000], [Loss: 0.514404] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 42.400000], [Loss: 0.424201] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 84.520000], [Loss: 0.465511] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 44.800000], [Loss: 0.597776] [Correct: 0.510000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 84.960000], [Loss: 0.452924] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.200000], [Loss: 0.412874] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 86.360000], [Loss: 0.422121] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.780815] [Correct: 0.552000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 10\n",
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      "Epoch: 11\n",
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      "Epoch: 12\n",
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      "Epoch: 13\n",
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      "\n",
      "Epoch: 15\n",
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      "\n",
      "Epoch: 16\n",
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      "Epoch: 17\n",
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      "[Test Accuracy: 55.800000], [Loss: 0.438193] [Correct: 0.612000]\n",
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      "\n",
      "Epoch: 18\n",
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      "Epoch: 19\n",
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      "Epoch: 20\n",
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      "\n",
      "Epoch: 21\n",
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      "\n",
      "Epoch: 22\n",
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      "\n",
      "Epoch: 23\n",
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      "\n",
      "Epoch: 24\n",
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      "\n",
      "Epoch: 25\n",
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      "[Test Accuracy: 58.800000], [Loss: 0.463209] [Correct: 0.644000]\n",
      "\n",
      "Epoch: 26\n",
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      "\n",
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      "\n",
      "Epoch: 28\n",
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      "\n",
      "Epoch: 29\n",
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      "\n",
      "Epoch: 30\n",
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      "[Test Accuracy: 59.400000], [Loss: 0.607954] [Correct: 0.660000]\n",
      "\n",
      "Epoch: 31\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 64.400000], [Loss: 0.437604] [Correct: 0.702000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 32\n",
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      "Epoch: 50\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 79\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [79/250: ], [Accuracy: 97.160000], [Loss: 0.105671] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 62.000000], [Loss: 0.471704] [Correct: 0.668000]\n",
      "\n",
      "Epoch: 80\n",
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      "[Test Accuracy: 66.600000], [Loss: 0.285142] [Correct: 0.702000]\n",
      "\n",
      "Epoch: 81\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 91\n",
      "[Train: ], [91/250: ], [Accuracy: 97.800000], [Loss: 0.090423] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 63.200000], [Loss: 0.446672] [Correct: 0.682000]\n",
      "\n",
      "Epoch: 92\n",
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      "[Test Accuracy: 66.200000], [Loss: 0.391600] [Correct: 0.712000]\n",
      "\n",
      "Epoch: 93\n",
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      "[Test Accuracy: 66.200000], [Loss: 0.336365] [Correct: 0.698000]\n",
      "\n",
      "Epoch: 94\n",
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      "[Test Accuracy: 59.200000], [Loss: 0.561715] [Correct: 0.662000]\n",
      "\n",
      "Epoch: 95\n",
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      "[Test Accuracy: 57.600000], [Loss: 0.635933] [Correct: 0.644000]\n",
      "\n",
      "Epoch: 96\n",
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      "[Test Accuracy: 61.600000], [Loss: 0.413868] [Correct: 0.660000]\n",
      "\n",
      "Epoch: 97\n",
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      "[Test Accuracy: 57.800000], [Loss: 0.771495] [Correct: 0.662000]\n",
      "\n",
      "Epoch: 98\n",
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      "[Test Accuracy: 61.800000], [Loss: 0.493705] [Correct: 0.672000]\n",
      "\n",
      "Epoch: 99\n",
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      "[Test Accuracy: 61.800000], [Loss: 0.443535] [Correct: 0.672000]\n",
      "\n",
      "Epoch: 100\n",
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      "[Test Accuracy: 67.600000], [Loss: 0.323435] [Correct: 0.718000]\n",
      "\n",
      "Epoch: 101\n",
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      "[Test Accuracy: 67.400000], [Loss: 0.296712] [Correct: 0.710000]\n",
      "\n",
      "Epoch: 102\n",
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      "[Test Accuracy: 68.800000], [Loss: 0.292261] [Correct: 0.724000]\n",
      "\n",
      "Epoch: 103\n",
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      "[Test Accuracy: 68.600000], [Loss: 0.296239] [Correct: 0.722000]\n",
      "\n",
      "Epoch: 104\n",
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      "[Test Accuracy: 69.600000], [Loss: 0.281347] [Correct: 0.728000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 105\n",
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      "[Test Accuracy: 69.000000], [Loss: 0.297940] [Correct: 0.722000]\n",
      "\n",
      "Epoch: 106\n",
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      "\n",
      "Epoch: 107\n",
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      "[Test Accuracy: 69.000000], [Loss: 0.305400] [Correct: 0.726000]\n",
      "\n",
      "Epoch: 108\n",
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      "\n",
      "Epoch: 109\n",
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      "Saving..\n",
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      "Epoch: 110\n",
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      "\n",
      "Epoch: 111\n",
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      "\n",
      "Epoch: 113\n",
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      "\n",
      "Epoch: 114\n",
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      "\n",
      "Epoch: 115\n",
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      "\n",
      "Epoch: 116\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 69.400000], [Loss: 0.306250] [Correct: 0.730000]\n",
      "\n",
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      "\n",
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      "\n",
      "Epoch: 121\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 69.400000], [Loss: 0.275881] [Correct: 0.728000]\n",
      "\n",
      "Epoch: 126\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 69.200000], [Loss: 0.282691] [Correct: 0.726000]\n",
      "\n",
      "Epoch: 127\n",
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      "\n",
      "Epoch: 128\n",
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      "[Test Accuracy: 70.400000], [Loss: 0.252667] [Correct: 0.734000]\n",
      "Saving..\n",
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      "\n",
      "Epoch: 131\n",
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      "\n",
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      "Saving..\n",
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      "Saving..\n",
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      "Saving..\n",
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      "Epoch: 142\n",
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      "\n",
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      "\n",
      "Epoch: 144\n",
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      "\n",
      "Epoch: 145\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "Saving..\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "Saving..\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 163\n",
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      "\n",
      "Epoch: 164\n",
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      "Saving..\n",
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      "\n",
      "Epoch: 166\n",
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      "\n",
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      "\n",
      "Epoch: 168\n",
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      "\n",
      "Epoch: 169\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 172\n",
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      "\n",
      "Epoch: 173\n",
      "[Train: ], [173/250: ], [Accuracy: 99.960000], [Loss: 0.026448] [LossS: 0.000000] [Lr: 0.000100]\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 70.800000], [Loss: 0.267939] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 174\n",
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      "[Test Accuracy: 71.000000], [Loss: 0.262507] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 175\n",
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      "[Test Accuracy: 70.600000], [Loss: 0.286095] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 176\n",
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      "[Test Accuracy: 70.600000], [Loss: 0.266279] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 177\n",
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      "[Test Accuracy: 70.800000], [Loss: 0.266339] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 178\n",
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      "[Test Accuracy: 70.600000], [Loss: 0.287461] [Correct: 0.740000]\n",
      "\n",
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      "\n",
      "Epoch: 180\n",
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      "\n",
      "Epoch: 181\n",
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      "\n",
      "Epoch: 182\n",
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      "[Test Accuracy: 71.000000], [Loss: 0.273917] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 183\n",
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      "[Test Accuracy: 70.200000], [Loss: 0.273739] [Correct: 0.734000]\n",
      "\n",
      "Epoch: 184\n",
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      "\n",
      "Epoch: 185\n",
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      "[Test Accuracy: 70.600000], [Loss: 0.264277] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 186\n",
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      "\n",
      "Epoch: 187\n",
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      "[Test Accuracy: 71.000000], [Loss: 0.264078] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 188\n",
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      "[Test Accuracy: 70.800000], [Loss: 0.265184] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 189\n",
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      "[Test Accuracy: 70.800000], [Loss: 0.266633] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 190\n",
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      "[Test Accuracy: 70.600000], [Loss: 0.267035] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 191\n",
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      "[Test Accuracy: 71.200000], [Loss: 0.282747] [Correct: 0.746000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 192\n",
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      "[Test Accuracy: 70.800000], [Loss: 0.266823] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 193\n",
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      "\n",
      "Epoch: 194\n",
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      "[Test Accuracy: 70.600000], [Loss: 0.268268] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 195\n",
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      "\n",
      "Epoch: 196\n",
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      "\n",
      "Epoch: 197\n",
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      "[Test Accuracy: 70.400000], [Loss: 0.264347] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 198\n",
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      "\n",
      "Epoch: 199\n",
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      "[Test Accuracy: 70.800000], [Loss: 0.265533] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 200\n",
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      "[Test Accuracy: 71.200000], [Loss: 0.263659] [Correct: 0.744000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 201\n",
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      "\n",
      "Epoch: 202\n",
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      "\n",
      "Epoch: 203\n",
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      "\n",
      "Epoch: 204\n",
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      "\n",
      "Epoch: 205\n",
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      "\n",
      "Epoch: 206\n",
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      "\n",
      "Epoch: 207\n",
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      "\n",
      "Epoch: 208\n",
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      "\n",
      "Epoch: 209\n",
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      "\n",
      "Epoch: 210\n",
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      "\n",
      "Epoch: 211\n",
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      "\n",
      "Epoch: 212\n",
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      "\n",
      "Epoch: 213\n",
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      "\n",
      "Epoch: 214\n",
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      "\n",
      "Epoch: 215\n",
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      "[Test Accuracy: 70.800000], [Loss: 0.265030] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 216\n",
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      "\n",
      "Epoch: 217\n",
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      "[Test Accuracy: 70.400000], [Loss: 0.265275] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 218\n",
      "[Train: ], [218/250: ], [Accuracy: 99.880000], [Loss: 0.028170] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.400000], [Loss: 0.264433] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 99.920000], [Loss: 0.027981] [LossS: 0.000000] [Lr: 0.000010]\n",
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      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 99.920000], [Loss: 0.026990] [LossS: 0.000000] [Lr: 0.000010]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 71.000000], [Loss: 0.265392] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 221\n",
      "[Train: ], [221/250: ], [Accuracy: 100.000000], [Loss: 0.026089] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.264202] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 100.000000], [Loss: 0.026141] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.264109] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.960000], [Loss: 0.027934] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.244023] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 99.960000], [Loss: 0.027115] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.269469] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 225\n",
      "[Train: ], [225/250: ], [Accuracy: 99.920000], [Loss: 0.028066] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 71.000000], [Loss: 0.269647] [Correct: 0.744000]\n",
      "\n",
      "Epoch: 226\n",
      "[Train: ], [226/250: ], [Accuracy: 99.960000], [Loss: 0.027228] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.400000], [Loss: 0.267547] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 227\n",
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      "[Test Accuracy: 71.000000], [Loss: 0.267699] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 228\n",
      "[Train: ], [228/250: ], [Accuracy: 99.960000], [Loss: 0.026609] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.270432] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 229\n",
      "[Train: ], [229/250: ], [Accuracy: 99.880000], [Loss: 0.028918] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.263733] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 230\n",
      "[Train: ], [230/250: ], [Accuracy: 100.000000], [Loss: 0.027253] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.265131] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 99.960000], [Loss: 0.027558] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.269205] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 232\n",
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      "[Test Accuracy: 70.400000], [Loss: 0.264339] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 99.960000], [Loss: 0.026334] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.400000], [Loss: 0.263873] [Correct: 0.734000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.960000], [Loss: 0.025742] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.200000], [Loss: 0.289034] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 99.920000], [Loss: 0.027848] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.265229] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.920000], [Loss: 0.026299] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.268105] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.920000], [Loss: 0.026845] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.268075] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 99.760000], [Loss: 0.033409] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 71.000000], [Loss: 0.285587] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 99.960000], [Loss: 0.027271] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.287136] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.880000], [Loss: 0.029245] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.265641] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.960000], [Loss: 0.027189] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.267038] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 100.000000], [Loss: 0.026672] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.269097] [Correct: 0.740000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 99.960000], [Loss: 0.026224] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.400000], [Loss: 0.264260] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 100.000000], [Loss: 0.026458] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.600000], [Loss: 0.265891] [Correct: 0.738000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.920000], [Loss: 0.027460] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 71.200000], [Loss: 0.260255] [Correct: 0.740000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 100.000000], [Loss: 0.028411] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.200000], [Loss: 0.268467] [Correct: 0.730000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.840000], [Loss: 0.028186] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 71.000000], [Loss: 0.263477] [Correct: 0.742000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.920000], [Loss: 0.027814] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.400000], [Loss: 0.263592] [Correct: 0.736000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 100.000000], [Loss: 0.025718] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 70.800000], [Loss: 0.262470] [Correct: 0.740000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task1.pth\n",
      "Task: 1  Test_accuracy: 71.2\n",
      "Training Task :---2\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task1.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 52.120000], [Loss: 1.747390] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.000000], [Loss: 1.926385] [Correct: 0.068000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 68.760000], [Loss: 0.930290] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.400000], [Loss: 0.744854] [Correct: 0.148000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 73.120000], [Loss: 0.764746] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.800000], [Loss: 0.322881] [Correct: 0.146000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 79.480000], [Loss: 0.645122] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.800000], [Loss: 0.250779] [Correct: 0.178000]\n",
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      "Epoch: 4\n",
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      "[Test Accuracy: 22.000000], [Loss: 0.294921] [Correct: 0.234000]\n",
      "\n",
      "Epoch: 8\n",
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      "[Test Accuracy: 22.000000], [Loss: 0.278263] [Correct: 0.234000]\n",
      "\n",
      "Epoch: 9\n",
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      "\n",
      "Epoch: 10\n",
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      "\n",
      "Epoch: 11\n",
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      "[Test Accuracy: 38.000000], [Loss: 0.237128] [Correct: 0.394000]\n",
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      "\n",
      "Epoch: 12\n",
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      "[Test Accuracy: 35.400000], [Loss: 0.093211] [Correct: 0.360000]\n",
      "\n",
      "Epoch: 13\n",
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      "\n",
      "Epoch: 14\n",
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      "[Test Accuracy: 32.800000], [Loss: 0.856402] [Correct: 0.376000]\n",
      "\n",
      "Epoch: 15\n",
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      "[Test Accuracy: 42.600000], [Loss: 0.449145] [Correct: 0.460000]\n",
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      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 92.160000], [Loss: 0.281500] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 41.200000], [Loss: 0.429423] [Correct: 0.444000]\n",
      "\n",
      "Epoch: 17\n",
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      "Epoch: 18\n",
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      "[Test Accuracy: 41.000000], [Loss: 0.804483] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 19\n",
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      "Epoch: 21\n",
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      "Epoch: 22\n",
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      "\n",
      "Epoch: 23\n",
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      "\n",
      "Epoch: 25\n",
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      "\n",
      "Epoch: 32\n",
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      "Epoch: 33\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 64\n"
     ]
    },
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     "output_type": "stream",
     "text": [
      "[Train: ], [64/250: ], [Accuracy: 97.760000], [Loss: 0.097334] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.800000], [Loss: 0.433145] [Correct: 0.586000]\n",
      "\n",
      "Epoch: 65\n",
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      "\n",
      "Epoch: 66\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 82\n",
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      "[Test Accuracy: 50.200000], [Loss: 0.500183] [Correct: 0.542000]\n",
      "\n",
      "Epoch: 84\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 51.400000], [Loss: 0.468019] [Correct: 0.552000]\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 60.600000], [Loss: 0.164161] [Correct: 0.620000]\n",
      "\n",
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      "[Test Accuracy: 61.800000], [Loss: 0.212441] [Correct: 0.638000]\n",
      "Saving..\n",
      "\n",
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      "\n",
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      "Saving..\n",
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      "\n",
      "Epoch: 110\n",
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      "\n",
      "Epoch: 111\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 61.000000], [Loss: 0.187307] [Correct: 0.626000]\n",
      "\n",
      "Epoch: 112\n",
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      "\n",
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      "Saving..\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 61.000000], [Loss: 0.237053] [Correct: 0.630000]\n",
      "\n",
      "Epoch: 159\n",
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      "[Test Accuracy: 61.200000], [Loss: 0.204849] [Correct: 0.630000]\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 62.200000], [Loss: 0.225730] [Correct: 0.642000]\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 61.400000], [Loss: 0.230526] [Correct: 0.634000]\n",
      "\n",
      "Epoch: 176\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 180\n",
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      "\n",
      "Epoch: 181\n",
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      "[Test Accuracy: 61.600000], [Loss: 0.231989] [Correct: 0.636000]\n",
      "\n",
      "Epoch: 182\n",
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      "\n",
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      "[Test Accuracy: 62.000000], [Loss: 0.228308] [Correct: 0.640000]\n",
      "\n",
      "Epoch: 184\n",
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      "\n",
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      "\n",
      "Epoch: 186\n",
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      "\n",
      "Epoch: 187\n",
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      "\n",
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      "\n",
      "Epoch: 189\n",
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      "\n",
      "Epoch: 190\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 193\n",
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      "\n",
      "Epoch: 194\n",
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      "\n",
      "Epoch: 195\n",
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      "\n",
      "Epoch: 196\n",
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      "\n",
      "Epoch: 197\n",
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      "\n",
      "Epoch: 198\n",
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      "\n",
      "Epoch: 199\n",
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      "\n",
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      "\n",
      "Epoch: 201\n",
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      "\n",
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      "\n",
      "Epoch: 203\n",
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      "\n",
      "Epoch: 204\n",
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      "\n",
      "Epoch: 205\n",
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      "[Test Accuracy: 62.000000], [Loss: 0.224124] [Correct: 0.640000]\n",
      "\n",
      "Epoch: 206\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [206/250: ], [Accuracy: 99.960000], [Loss: 0.036185] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 61.800000], [Loss: 0.227050] [Correct: 0.638000]\n",
      "\n",
      "Epoch: 207\n",
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      "\n",
      "Epoch: 208\n",
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      "\n",
      "Epoch: 209\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 248\n",
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      "[Test Accuracy: 61.000000], [Loss: 0.232700] [Correct: 0.630000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.960000], [Loss: 0.038826] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 61.200000], [Loss: 0.206355] [Correct: 0.630000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task2.pth\n",
      "Task: 2  Test_accuracy: 62.6\n",
      "Training Task :---3\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task2.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 56.000000], [Loss: 1.603225] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.800000], [Loss: 2.532815] [Correct: 0.068000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 67.760000], [Loss: 0.926230] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.800000], [Loss: 0.898872] [Correct: 0.134000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [2/250: ], [Accuracy: 74.400000], [Loss: 0.762324] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.400000], [Loss: 0.105747] [Correct: 0.126000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
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      "[Test Accuracy: 13.600000], [Loss: 0.388359] [Correct: 0.144000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 4\n",
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      "Saving..\n",
      "\n",
      "Epoch: 5\n",
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      "[Test Accuracy: 16.600000], [Loss: 0.379592] [Correct: 0.178000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
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      "[Test Accuracy: 19.400000], [Loss: 0.205340] [Correct: 0.202000]\n",
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      "Epoch: 7\n",
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      "Saving..\n",
      "\n",
      "Epoch: 8\n",
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      "Saving..\n",
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      "Saving..\n",
      "\n",
      "Epoch: 10\n",
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      "[Test Accuracy: 23.400000], [Loss: 0.489965] [Correct: 0.250000]\n",
      "\n",
      "Epoch: 11\n",
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      "[Test Accuracy: 26.000000], [Loss: 0.920252] [Correct: 0.298000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 12\n",
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      "[Test Accuracy: 18.800000], [Loss: 0.699388] [Correct: 0.208000]\n",
      "\n",
      "Epoch: 13\n",
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      "Epoch: 14\n",
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      "\n",
      "Epoch: 15\n",
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      "[Test Accuracy: 27.400000], [Loss: 1.479725] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 16\n",
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      "Saving..\n",
      "\n",
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      "\n",
      "Epoch: 18\n",
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      "[Test Accuracy: 30.600000], [Loss: 0.314618] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 19\n",
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      "\n",
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      "[Test Accuracy: 32.800000], [Loss: 0.760895] [Correct: 0.376000]\n",
      "\n",
      "Epoch: 22\n",
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      "\n",
      "Epoch: 23\n",
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      "\n",
      "Epoch: 24\n",
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      "\n",
      "Epoch: 25\n",
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      "\n",
      "Epoch: 26\n",
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      "Saving..\n",
      "\n",
      "Epoch: 27\n",
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      "\n",
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      "\n",
      "Epoch: 29\n",
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      "\n",
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      "\n",
      "Epoch: 33\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 39\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 43\n",
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      "\n",
      "Epoch: 44\n",
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      "\n",
      "Epoch: 45\n",
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      "[Test Accuracy: 41.600000], [Loss: 0.335508] [Correct: 0.432000]\n",
      "\n",
      "Epoch: 46\n",
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      "\n",
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      "\n",
      "Epoch: 48\n",
      "[Train: ], [48/250: ], [Accuracy: 94.480000], [Loss: 0.180061] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.400000], [Loss: 0.567638] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 49\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [49/250: ], [Accuracy: 96.400000], [Loss: 0.161734] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 39.000000], [Loss: 0.732520] [Correct: 0.432000]\n",
      "\n",
      "Epoch: 50\n",
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      "[Test Accuracy: 42.200000], [Loss: 0.399596] [Correct: 0.446000]\n",
      "\n",
      "Epoch: 51\n",
      "[Train: ], [51/250: ], [Accuracy: 94.920000], [Loss: 0.192166] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 45.200000], [Loss: 0.398625] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 52\n",
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      "\n",
      "Epoch: 53\n",
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      "\n",
      "Epoch: 54\n",
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      "\n",
      "Epoch: 55\n",
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      "\n",
      "Epoch: 56\n",
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      "\n",
      "Epoch: 57\n",
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      "[Test Accuracy: 41.600000], [Loss: 0.435860] [Correct: 0.446000]\n",
      "\n",
      "Epoch: 58\n",
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      "[Test Accuracy: 48.200000], [Loss: 0.876634] [Correct: 0.540000]\n",
      "\n",
      "Epoch: 59\n",
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      "\n",
      "Epoch: 60\n",
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      "\n",
      "Epoch: 61\n",
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      "\n",
      "Epoch: 62\n",
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      "\n",
      "Epoch: 63\n",
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      "Saving..\n",
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      "\n",
      "Epoch: 65\n",
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      "\n",
      "Epoch: 66\n",
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      "Saving..\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 72\n",
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      "\n",
      "Epoch: 73\n",
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      "[Test Accuracy: 48.600000], [Loss: 0.320554] [Correct: 0.508000]\n",
      "\n",
      "Epoch: 74\n",
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      "Saving..\n",
      "\n",
      "Epoch: 75\n",
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      "\n",
      "Epoch: 76\n",
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      "\n",
      "Epoch: 77\n",
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      "\n",
      "Epoch: 89\n",
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      "\n",
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      "\n",
      "Epoch: 91\n",
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      "\n",
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      "\n",
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      "Saving..\n",
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      "Epoch: 94\n",
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      "\n",
      "Epoch: 95\n",
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      "\n",
      "Epoch: 96\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 47.000000], [Loss: 0.452852] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 97\n",
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      "Epoch: 98\n",
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      "\n",
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      "Epoch: 101\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 53.600000], [Loss: 0.226235] [Correct: 0.550000]\n",
      "\n",
      "Epoch: 144\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 163\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 178\n",
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      "\n",
      "Epoch: 179\n",
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      "\n",
      "Epoch: 180\n",
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      "\n",
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      "\n",
      "Epoch: 182\n",
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      "\n",
      "Epoch: 183\n",
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      "[Test Accuracy: 55.000000], [Loss: 0.206207] [Correct: 0.564000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 184\n",
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      "\n",
      "Epoch: 185\n",
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      "\n",
      "Epoch: 186\n",
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      "\n",
      "Epoch: 187\n",
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      "\n",
      "Epoch: 188\n",
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      "\n",
      "Epoch: 189\n",
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      "\n",
      "Epoch: 190\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 53.800000], [Loss: 0.185706] [Correct: 0.550000]\n",
      "\n",
      "Epoch: 191\n",
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      "Epoch: 192\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 235\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 238\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [238/250: ], [Accuracy: 99.960000], [Loss: 0.039212] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.200000], [Loss: 0.182553] [Correct: 0.554000]\n",
      "\n",
      "Epoch: 239\n",
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      "\n",
      "Epoch: 240\n",
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      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 100.000000], [Loss: 0.043277] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.000000], [Loss: 0.183736] [Correct: 0.552000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.880000], [Loss: 0.040382] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 53.800000], [Loss: 0.182377] [Correct: 0.550000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 99.800000], [Loss: 0.041990] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.400000], [Loss: 0.209721] [Correct: 0.558000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.920000], [Loss: 0.041885] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.800000], [Loss: 0.211015] [Correct: 0.562000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 100.000000], [Loss: 0.040820] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.000000], [Loss: 0.182778] [Correct: 0.552000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 100.000000], [Loss: 0.040312] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.200000], [Loss: 0.184701] [Correct: 0.554000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.880000], [Loss: 0.041925] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.000000], [Loss: 0.183575] [Correct: 0.552000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 100.000000], [Loss: 0.039595] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.000000], [Loss: 0.182607] [Correct: 0.552000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.840000], [Loss: 0.041855] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 54.400000], [Loss: 0.181738] [Correct: 0.556000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task3.pth\n",
      "Task: 3  Test_accuracy: 55.0\n",
      "Training Task :---4\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task3.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 67.120000], [Loss: 1.298045] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.200000], [Loss: 4.841342] [Correct: 0.060000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 82.280000], [Loss: 0.570661] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 0.841200] [Correct: 0.232000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 86.720000], [Loss: 0.429254] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.600000], [Loss: 0.133306] [Correct: 0.242000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 90.440000], [Loss: 0.347746] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.000000], [Loss: 0.101965] [Correct: 0.234000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 90.840000], [Loss: 0.306535] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.118814] [Correct: 0.342000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 92.120000], [Loss: 0.267593] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 35.000000], [Loss: 0.057884] [Correct: 0.354000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 92.560000], [Loss: 0.255002] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.000000], [Loss: 0.091451] [Correct: 0.366000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 93.240000], [Loss: 0.238363] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 34.400000], [Loss: 0.156290] [Correct: 0.352000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 93.120000], [Loss: 0.250880] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 39.800000], [Loss: 0.144741] [Correct: 0.406000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 93.720000], [Loss: 0.224603] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.600000], [Loss: 0.040412] [Correct: 0.368000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 95.480000], [Loss: 0.183613] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.079160] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 95.240000], [Loss: 0.172604] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 42.200000], [Loss: 0.094715] [Correct: 0.428000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 95.320000], [Loss: 0.171425] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 41.400000], [Loss: 0.164504] [Correct: 0.424000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 95.800000], [Loss: 0.165519] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.053770] [Correct: 0.398000]\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 95.800000], [Loss: 0.164374] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 35.600000], [Loss: 0.009846] [Correct: 0.356000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 96.000000], [Loss: 0.160678] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 41.000000], [Loss: 0.039292] [Correct: 0.412000]\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 95.040000], [Loss: 0.194285] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 51.800000], [Loss: 0.091021] [Correct: 0.524000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 96.520000], [Loss: 0.144379] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.400000], [Loss: 0.079425] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 97.400000], [Loss: 0.121569] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 41.400000], [Loss: 0.102225] [Correct: 0.420000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 97.120000], [Loss: 0.126052] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.117599] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 96.720000], [Loss: 0.146443] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.400000], [Loss: 0.130894] [Correct: 0.554000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 96.800000], [Loss: 0.128557] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 41.600000], [Loss: 0.122249] [Correct: 0.422000]\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 97.200000], [Loss: 0.129223] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 39.000000], [Loss: 0.086036] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 96.680000], [Loss: 0.129800] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 45.800000], [Loss: 0.026764] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 24\n",
      "[Train: ], [24/250: ], [Accuracy: 96.160000], [Loss: 0.143863] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 53.600000], [Loss: 0.283336] [Correct: 0.556000]\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 97.880000], [Loss: 0.107597] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 50.000000], [Loss: 0.128066] [Correct: 0.508000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 97.880000], [Loss: 0.106124] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.000000], [Loss: 0.107006] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 97.520000], [Loss: 0.112872] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.400000], [Loss: 0.087717] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 96.960000], [Loss: 0.132331] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 56.600000], [Loss: 0.375159] [Correct: 0.592000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 97.280000], [Loss: 0.129427] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.000000], [Loss: 0.148705] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 97.720000], [Loss: 0.110919] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 49.200000], [Loss: 0.078120] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 31\n",
      "[Train: ], [31/250: ], [Accuracy: 97.480000], [Loss: 0.112189] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.800000], [Loss: 0.063694] [Correct: 0.552000]\n",
      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 98.000000], [Loss: 0.103881] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 51.600000], [Loss: 0.143123] [Correct: 0.524000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 98.200000], [Loss: 0.093411] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 55.200000], [Loss: 0.108021] [Correct: 0.560000]\n",
      "\n",
      "Epoch: 34\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [34/250: ], [Accuracy: 98.520000], [Loss: 0.084080] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 56.600000], [Loss: 0.108040] [Correct: 0.574000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 35\n",
      "[Train: ], [35/250: ], [Accuracy: 97.840000], [Loss: 0.099848] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 55.800000], [Loss: 0.137633] [Correct: 0.568000]\n",
      "\n",
      "Epoch: 36\n",
      "[Train: ], [36/250: ], [Accuracy: 97.960000], [Loss: 0.105379] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 57.400000], [Loss: 0.126071] [Correct: 0.586000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 37\n",
      "[Train: ], [37/250: ], [Accuracy: 98.280000], [Loss: 0.089669] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 37.600000], [Loss: 0.265442] [Correct: 0.392000]\n",
      "\n",
      "Epoch: 38\n",
      "[Train: ], [38/250: ], [Accuracy: 97.080000], [Loss: 0.120610] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.800000], [Loss: 0.121324] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 39\n",
      "[Train: ], [39/250: ], [Accuracy: 97.280000], [Loss: 0.118140] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 58.600000], [Loss: 0.131015] [Correct: 0.598000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 97.680000], [Loss: 0.117163] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 57.000000], [Loss: 0.092128] [Correct: 0.576000]\n",
      "\n",
      "Epoch: 41\n",
      "[Train: ], [41/250: ], [Accuracy: 98.040000], [Loss: 0.100776] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 58.800000], [Loss: 0.207566] [Correct: 0.604000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 42\n",
      "[Train: ], [42/250: ], [Accuracy: 98.200000], [Loss: 0.093919] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 55.800000], [Loss: 0.067948] [Correct: 0.562000]\n",
      "\n",
      "Epoch: 43\n",
      "[Train: ], [43/250: ], [Accuracy: 98.640000], [Loss: 0.089660] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 57.400000], [Loss: 0.107917] [Correct: 0.582000]\n",
      "\n",
      "Epoch: 44\n",
      "[Train: ], [44/250: ], [Accuracy: 98.840000], [Loss: 0.078620] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.600000], [Loss: 0.030846] [Correct: 0.488000]\n",
      "\n",
      "Epoch: 45\n",
      "[Train: ], [45/250: ], [Accuracy: 98.360000], [Loss: 0.090197] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.000000], [Loss: 0.032806] [Correct: 0.542000]\n",
      "\n",
      "Epoch: 46\n",
      "[Train: ], [46/250: ], [Accuracy: 98.680000], [Loss: 0.082758] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 63.000000], [Loss: 0.111362] [Correct: 0.638000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 47\n",
      "[Train: ], [47/250: ], [Accuracy: 98.840000], [Loss: 0.080711] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 58.600000], [Loss: 0.070750] [Correct: 0.592000]\n",
      "\n",
      "Epoch: 48\n",
      "[Train: ], [48/250: ], [Accuracy: 98.640000], [Loss: 0.073924] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 53.000000], [Loss: 0.038499] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 49\n",
      "[Train: ], [49/250: ], [Accuracy: 98.600000], [Loss: 0.084587] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 51.200000], [Loss: 0.098840] [Correct: 0.518000]\n",
      "\n",
      "Epoch: 50\n",
      "[Train: ], [50/250: ], [Accuracy: 97.800000], [Loss: 0.101163] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 60.000000], [Loss: 0.288369] [Correct: 0.620000]\n",
      "\n",
      "Epoch: 51\n",
      "[Train: ], [51/250: ], [Accuracy: 97.720000], [Loss: 0.103392] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.099184] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 52\n",
      "[Train: ], [52/250: ], [Accuracy: 97.920000], [Loss: 0.107020] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 55.400000], [Loss: 0.108232] [Correct: 0.562000]\n",
      "\n",
      "Epoch: 53\n",
      "[Train: ], [53/250: ], [Accuracy: 98.560000], [Loss: 0.081200] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 59.200000], [Loss: 0.121338] [Correct: 0.600000]\n",
      "\n",
      "Epoch: 54\n",
      "[Train: ], [54/250: ], [Accuracy: 97.600000], [Loss: 0.107862] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 59.600000], [Loss: 0.139027] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 55\n",
      "[Train: ], [55/250: ], [Accuracy: 97.360000], [Loss: 0.117308] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.036505] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 56\n",
      "[Train: ], [56/250: ], [Accuracy: 97.000000], [Loss: 0.118179] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.000000], [Loss: 0.038758] [Correct: 0.542000]\n",
      "\n",
      "Epoch: 57\n",
      "[Train: ], [57/250: ], [Accuracy: 97.560000], [Loss: 0.110227] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 55.000000], [Loss: 0.107418] [Correct: 0.556000]\n",
      "\n",
      "Epoch: 58\n",
      "[Train: ], [58/250: ], [Accuracy: 97.720000], [Loss: 0.104181] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 56.600000], [Loss: 0.128898] [Correct: 0.574000]\n",
      "\n",
      "Epoch: 59\n",
      "[Train: ], [59/250: ], [Accuracy: 98.520000], [Loss: 0.087304] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.232839] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 60\n",
      "[Train: ], [60/250: ], [Accuracy: 98.280000], [Loss: 0.087009] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.200000], [Loss: 0.083407] [Correct: 0.548000]\n",
      "\n",
      "Epoch: 61\n",
      "[Train: ], [61/250: ], [Accuracy: 98.840000], [Loss: 0.073629] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.103114] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 62\n",
      "[Train: ], [62/250: ], [Accuracy: 98.640000], [Loss: 0.080902] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 51.600000], [Loss: 0.182369] [Correct: 0.530000]\n",
      "\n",
      "Epoch: 63\n",
      "[Train: ], [63/250: ], [Accuracy: 97.960000], [Loss: 0.093446] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 50.200000], [Loss: 0.173314] [Correct: 0.514000]\n",
      "\n",
      "Epoch: 64\n",
      "[Train: ], [64/250: ], [Accuracy: 98.360000], [Loss: 0.090187] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.800000], [Loss: 0.118711] [Correct: 0.444000]\n",
      "\n",
      "Epoch: 65\n",
      "[Train: ], [65/250: ], [Accuracy: 97.560000], [Loss: 0.106348] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 48.800000], [Loss: 0.260971] [Correct: 0.506000]\n",
      "\n",
      "Epoch: 66\n",
      "[Train: ], [66/250: ], [Accuracy: 97.520000], [Loss: 0.115020] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 61.600000], [Loss: 0.081334] [Correct: 0.622000]\n",
      "\n",
      "Epoch: 67\n",
      "[Train: ], [67/250: ], [Accuracy: 97.760000], [Loss: 0.099405] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.400000], [Loss: 0.114974] [Correct: 0.440000]\n",
      "\n",
      "Epoch: 68\n",
      "[Train: ], [68/250: ], [Accuracy: 98.400000], [Loss: 0.090230] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 52.600000], [Loss: 0.206036] [Correct: 0.540000]\n",
      "\n",
      "Epoch: 69\n",
      "[Train: ], [69/250: ], [Accuracy: 98.760000], [Loss: 0.080288] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.400000], [Loss: 0.090034] [Correct: 0.550000]\n",
      "\n",
      "Epoch: 70\n",
      "[Train: ], [70/250: ], [Accuracy: 98.560000], [Loss: 0.077928] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 54.200000], [Loss: 0.064399] [Correct: 0.546000]\n",
      "\n",
      "Epoch: 71\n",
      "[Train: ], [71/250: ], [Accuracy: 98.320000], [Loss: 0.082470] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.220808] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 72\n",
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      "[Test Accuracy: 53.000000], [Loss: 0.070569] [Correct: 0.536000]\n",
      "\n",
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      "\n",
      "Epoch: 74\n",
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      "[Test Accuracy: 57.400000], [Loss: 0.143361] [Correct: 0.586000]\n",
      "\n",
      "Epoch: 75\n",
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      "[Test Accuracy: 46.400000], [Loss: 0.049449] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 76\n",
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      "[Test Accuracy: 55.800000], [Loss: 0.131112] [Correct: 0.568000]\n",
      "\n",
      "Epoch: 77\n",
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      "\n",
      "Epoch: 78\n",
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      "[Test Accuracy: 47.200000], [Loss: 0.107315] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 79\n",
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      "[Test Accuracy: 56.000000], [Loss: 0.125688] [Correct: 0.568000]\n",
      "\n",
      "Epoch: 80\n",
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      "[Test Accuracy: 47.200000], [Loss: 0.137528] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 81\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 46.800000], [Loss: 0.199070] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 82\n",
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      "\n",
      "Epoch: 83\n",
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      "[Test Accuracy: 52.400000], [Loss: 0.153249] [Correct: 0.534000]\n",
      "\n",
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      "\n",
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      "[Test Accuracy: 52.400000], [Loss: 0.163230] [Correct: 0.536000]\n",
      "\n",
      "Epoch: 86\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.123350] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 97\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 129\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [129/250: ], [Accuracy: 99.880000], [Loss: 0.042290] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 60.800000], [Loss: 0.068760] [Correct: 0.614000]\n",
      "\n",
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      "\n",
      "Epoch: 131\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 176\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 59.800000], [Loss: 0.049162] [Correct: 0.602000]\n",
      "\n",
      "Epoch: 177\n",
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      "\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 60.000000], [Loss: 0.067156] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 224\n",
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      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.880000], [Loss: 0.039631] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 59.800000], [Loss: 0.064521] [Correct: 0.604000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.920000], [Loss: 0.039529] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.200000], [Loss: 0.050911] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 100.000000], [Loss: 0.038051] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.000000], [Loss: 0.051787] [Correct: 0.604000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 100.000000], [Loss: 0.038393] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 59.200000], [Loss: 0.067574] [Correct: 0.598000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.960000], [Loss: 0.039588] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.600000], [Loss: 0.050182] [Correct: 0.610000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.960000], [Loss: 0.038790] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.200000], [Loss: 0.049397] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.960000], [Loss: 0.037050] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.000000], [Loss: 0.064020] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 99.920000], [Loss: 0.040072] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.400000], [Loss: 0.050176] [Correct: 0.608000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 100.000000], [Loss: 0.036894] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.200000], [Loss: 0.048979] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.960000], [Loss: 0.038192] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 59.400000], [Loss: 0.051055] [Correct: 0.598000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 100.000000], [Loss: 0.037535] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.200000], [Loss: 0.050306] [Correct: 0.606000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.880000], [Loss: 0.038920] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.800000], [Loss: 0.063467] [Correct: 0.614000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.920000], [Loss: 0.038249] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 59.600000], [Loss: 0.050536] [Correct: 0.600000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 100.000000], [Loss: 0.037586] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 60.200000], [Loss: 0.050612] [Correct: 0.606000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task4.pth\n",
      "Task: 4  Test_accuracy: 63.0\n",
      "Training Task :---5\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task4.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 50.280000], [Loss: 1.802344] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.000000], [Loss: 0.000000] [Correct: 0.000000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 64.240000], [Loss: 1.015150] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.200000], [Loss: 0.822216] [Correct: 0.036000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 69.760000], [Loss: 0.870584] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.400000], [Loss: 0.695623] [Correct: 0.058000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 74.440000], [Loss: 0.762984] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.200000], [Loss: 0.147349] [Correct: 0.044000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 75.440000], [Loss: 0.730115] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.800000], [Loss: 1.556399] [Correct: 0.056000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 77.160000], [Loss: 0.697949] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.400000], [Loss: 0.520961] [Correct: 0.072000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 79.800000], [Loss: 0.633833] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.000000], [Loss: 0.764689] [Correct: 0.092000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 80.400000], [Loss: 0.600640] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.200000], [Loss: 0.122636] [Correct: 0.114000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 80.680000], [Loss: 0.593090] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.600000], [Loss: 0.686629] [Correct: 0.176000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 82.640000], [Loss: 0.549659] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.000000], [Loss: 0.991375] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 82.640000], [Loss: 0.549356] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.800000], [Loss: 0.602358] [Correct: 0.110000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 83.720000], [Loss: 0.534015] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.200000], [Loss: 1.097961] [Correct: 0.182000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 83.680000], [Loss: 0.513051] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.600000], [Loss: 0.614033] [Correct: 0.160000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 85.600000], [Loss: 0.477008] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.200000], [Loss: 0.404429] [Correct: 0.174000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 86.560000], [Loss: 0.450836] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.200000], [Loss: 0.715014] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 85.920000], [Loss: 0.447634] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.400000], [Loss: 1.119206] [Correct: 0.252000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 86.120000], [Loss: 0.435200] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.600000], [Loss: 0.273548] [Correct: 0.142000]\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 85.560000], [Loss: 0.446972] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.600000], [Loss: 0.750268] [Correct: 0.218000]\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 86.480000], [Loss: 0.447860] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.000000], [Loss: 1.492765] [Correct: 0.182000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 86.640000], [Loss: 0.422079] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 14.400000], [Loss: 0.350404] [Correct: 0.152000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 85.880000], [Loss: 0.442610] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.600000], [Loss: 0.615110] [Correct: 0.182000]\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 87.040000], [Loss: 0.423095] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.600000], [Loss: 0.911139] [Correct: 0.210000]\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 86.480000], [Loss: 0.439219] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.800000], [Loss: 0.499041] [Correct: 0.214000]\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 87.880000], [Loss: 0.406348] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.400000], [Loss: 0.583691] [Correct: 0.284000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 24\n",
      "[Train: ], [24/250: ], [Accuracy: 87.440000], [Loss: 0.399434] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.200000], [Loss: 0.505114] [Correct: 0.260000]\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 87.480000], [Loss: 0.398388] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.600000], [Loss: 0.367902] [Correct: 0.238000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 88.640000], [Loss: 0.381546] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 0.224131] [Correct: 0.214000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 89.160000], [Loss: 0.354745] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.299943] [Correct: 0.286000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 89.320000], [Loss: 0.351925] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.800000], [Loss: 0.102098] [Correct: 0.222000]\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 88.440000], [Loss: 0.369232] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.600000], [Loss: 0.301141] [Correct: 0.256000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 89.160000], [Loss: 0.370946] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.200000], [Loss: 0.245757] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 31\n",
      "[Train: ], [31/250: ], [Accuracy: 90.600000], [Loss: 0.309688] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.200000], [Loss: 0.570365] [Correct: 0.262000]\n",
      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 90.840000], [Loss: 0.318739] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.200000], [Loss: 0.303422] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 90.960000], [Loss: 0.291002] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.400000], [Loss: 1.589515] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 34\n",
      "[Train: ], [34/250: ], [Accuracy: 89.480000], [Loss: 0.351898] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.527703] [Correct: 0.300000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 35\n",
      "[Train: ], [35/250: ], [Accuracy: 90.800000], [Loss: 0.317864] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.200000], [Loss: 0.382801] [Correct: 0.322000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 36\n",
      "[Train: ], [36/250: ], [Accuracy: 91.360000], [Loss: 0.304935] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.800000], [Loss: 0.163697] [Correct: 0.296000]\n",
      "\n",
      "Epoch: 37\n",
      "[Train: ], [37/250: ], [Accuracy: 92.200000], [Loss: 0.284414] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.800000], [Loss: 0.093200] [Correct: 0.262000]\n",
      "\n",
      "Epoch: 38\n",
      "[Train: ], [38/250: ], [Accuracy: 90.520000], [Loss: 0.314301] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 32.200000], [Loss: 0.813252] [Correct: 0.360000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 39\n",
      "[Train: ], [39/250: ], [Accuracy: 91.840000], [Loss: 0.296228] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.414860] [Correct: 0.294000]\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 91.600000], [Loss: 0.286091] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.800000], [Loss: 0.446049] [Correct: 0.306000]\n",
      "\n",
      "Epoch: 41\n",
      "[Train: ], [41/250: ], [Accuracy: 92.280000], [Loss: 0.256296] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.800000], [Loss: 1.504478] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 42\n",
      "[Train: ], [42/250: ], [Accuracy: 91.720000], [Loss: 0.281607] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.600000], [Loss: 0.419903] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 43\n",
      "[Train: ], [43/250: ], [Accuracy: 91.720000], [Loss: 0.281098] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.600000], [Loss: 0.331164] [Correct: 0.458000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 44\n",
      "[Train: ], [44/250: ], [Accuracy: 92.720000], [Loss: 0.253741] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.000000], [Loss: 0.852498] [Correct: 0.290000]\n",
      "\n",
      "Epoch: 45\n",
      "[Train: ], [45/250: ], [Accuracy: 92.000000], [Loss: 0.281317] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.400000], [Loss: 0.408872] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 46\n",
      "[Train: ], [46/250: ], [Accuracy: 91.560000], [Loss: 0.276659] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.600000], [Loss: 0.392062] [Correct: 0.260000]\n",
      "\n",
      "Epoch: 47\n",
      "[Train: ], [47/250: ], [Accuracy: 91.680000], [Loss: 0.273740] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.372352] [Correct: 0.290000]\n",
      "\n",
      "Epoch: 48\n",
      "[Train: ], [48/250: ], [Accuracy: 91.840000], [Loss: 0.259181] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.800000], [Loss: 0.634821] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 49\n",
      "[Train: ], [49/250: ], [Accuracy: 92.360000], [Loss: 0.270992] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.000000], [Loss: 0.410059] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 50\n",
      "[Train: ], [50/250: ], [Accuracy: 92.320000], [Loss: 0.263687] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.400000], [Loss: 0.449638] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 51\n",
      "[Train: ], [51/250: ], [Accuracy: 92.480000], [Loss: 0.267211] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.200000], [Loss: 0.539993] [Correct: 0.390000]\n",
      "\n",
      "Epoch: 52\n",
      "[Train: ], [52/250: ], [Accuracy: 93.200000], [Loss: 0.246609] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.294632] [Correct: 0.286000]\n",
      "\n",
      "Epoch: 53\n",
      "[Train: ], [53/250: ], [Accuracy: 93.320000], [Loss: 0.238583] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.800000], [Loss: 0.511548] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 54\n",
      "[Train: ], [54/250: ], [Accuracy: 93.080000], [Loss: 0.245692] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.400000], [Loss: 0.152242] [Correct: 0.372000]\n",
      "\n",
      "Epoch: 55\n",
      "[Train: ], [55/250: ], [Accuracy: 93.800000], [Loss: 0.224464] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.200000], [Loss: 0.208790] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 56\n",
      "[Train: ], [56/250: ], [Accuracy: 93.040000], [Loss: 0.236571] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.228595] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 57\n",
      "[Train: ], [57/250: ], [Accuracy: 92.360000], [Loss: 0.250402] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.103246] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 58\n",
      "[Train: ], [58/250: ], [Accuracy: 92.760000], [Loss: 0.259470] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 37.600000], [Loss: 0.089614] [Correct: 0.380000]\n",
      "\n",
      "Epoch: 59\n",
      "[Train: ], [59/250: ], [Accuracy: 93.760000], [Loss: 0.220763] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 41.000000], [Loss: 0.153675] [Correct: 0.418000]\n",
      "\n",
      "Epoch: 60\n",
      "[Train: ], [60/250: ], [Accuracy: 94.080000], [Loss: 0.223821] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.262901] [Correct: 0.426000]\n",
      "\n",
      "Epoch: 61\n",
      "[Train: ], [61/250: ], [Accuracy: 92.480000], [Loss: 0.250492] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.634891] [Correct: 0.342000]\n",
      "\n",
      "Epoch: 62\n",
      "[Train: ], [62/250: ], [Accuracy: 93.400000], [Loss: 0.222627] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 38.200000], [Loss: 0.689696] [Correct: 0.416000]\n",
      "\n",
      "Epoch: 63\n",
      "[Train: ], [63/250: ], [Accuracy: 94.160000], [Loss: 0.216289] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.000000], [Loss: 0.196984] [Correct: 0.300000]\n",
      "\n",
      "Epoch: 64\n",
      "[Train: ], [64/250: ], [Accuracy: 93.920000], [Loss: 0.227267] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 37.000000], [Loss: 0.399333] [Correct: 0.392000]\n",
      "\n",
      "Epoch: 65\n",
      "[Train: ], [65/250: ], [Accuracy: 94.840000], [Loss: 0.200083] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.800000], [Loss: 0.434432] [Correct: 0.390000]\n",
      "\n",
      "Epoch: 66\n",
      "[Train: ], [66/250: ], [Accuracy: 94.760000], [Loss: 0.195164] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 38.800000], [Loss: 0.223500] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 67\n"
     ]
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     "output_type": "stream",
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      "[Train: ], [67/250: ], [Accuracy: 95.520000], [Loss: 0.180775] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.400000], [Loss: 0.239220] [Correct: 0.346000]\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "Saving..\n",
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      "\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 48.800000], [Loss: 0.227124] [Correct: 0.502000]\n",
      "\n",
      "Epoch: 115\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 162\n"
     ]
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     "output_type": "stream",
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      "Saving..\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 50.800000], [Loss: 0.255202] [Correct: 0.524000]\n",
      "\n",
      "Epoch: 210\n",
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      "Epoch: 230\n",
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      "[Test Accuracy: 50.800000], [Loss: 0.258522] [Correct: 0.524000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 99.720000], [Loss: 0.052520] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 49.600000], [Loss: 0.234843] [Correct: 0.510000]\n",
      "\n",
      "Epoch: 232\n",
      "[Train: ], [232/250: ], [Accuracy: 99.640000], [Loss: 0.050383] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 49.800000], [Loss: 0.233107] [Correct: 0.512000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 99.840000], [Loss: 0.053065] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.000000], [Loss: 0.225486] [Correct: 0.524000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.920000], [Loss: 0.048967] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 49.800000], [Loss: 0.234813] [Correct: 0.512000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 99.720000], [Loss: 0.053177] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 50.000000], [Loss: 0.258457] [Correct: 0.516000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.880000], [Loss: 0.050491] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 50.000000], [Loss: 0.258389] [Correct: 0.516000]\n",
      "\n",
      "Epoch: 237\n",
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      "[Test Accuracy: 50.400000], [Loss: 0.260565] [Correct: 0.520000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 99.560000], [Loss: 0.051846] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 49.600000], [Loss: 0.263214] [Correct: 0.512000]\n",
      "\n",
      "Epoch: 239\n",
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      "[Test Accuracy: 49.600000], [Loss: 0.234273] [Correct: 0.510000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.760000], [Loss: 0.053035] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 50.400000], [Loss: 0.257568] [Correct: 0.520000]\n",
      "\n",
      "Epoch: 241\n",
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      "[Test Accuracy: 49.800000], [Loss: 0.265644] [Correct: 0.514000]\n",
      "\n",
      "Epoch: 242\n",
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      "[Test Accuracy: 50.200000], [Loss: 0.258256] [Correct: 0.518000]\n",
      "\n",
      "Epoch: 243\n",
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      "[Test Accuracy: 50.400000], [Loss: 0.257817] [Correct: 0.520000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.760000], [Loss: 0.055246] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 49.200000], [Loss: 0.240483] [Correct: 0.506000]\n",
      "\n",
      "Epoch: 245\n",
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      "[Test Accuracy: 50.800000], [Loss: 0.254755] [Correct: 0.524000]\n",
      "\n",
      "Epoch: 246\n",
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      "[Test Accuracy: 50.000000], [Loss: 0.236101] [Correct: 0.514000]\n",
      "\n",
      "Epoch: 247\n",
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      "[Test Accuracy: 50.400000], [Loss: 0.228067] [Correct: 0.518000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.720000], [Loss: 0.050711] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 50.000000], [Loss: 0.231089] [Correct: 0.514000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.600000], [Loss: 0.054674] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 50.800000], [Loss: 0.258450] [Correct: 0.524000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task5.pth\n",
      "Task: 5  Test_accuracy: 51.8\n",
      "Training Task :---6\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task5.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 60.480000], [Loss: 1.587312] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.400000], [Loss: 0.235765] [Correct: 0.086000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 75.160000], [Loss: 0.774329] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.000000], [Loss: 0.109686] [Correct: 0.072000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 78.840000], [Loss: 0.651003] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.600000], [Loss: 0.810347] [Correct: 0.032000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 83.040000], [Loss: 0.554213] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.400000], [Loss: 0.432151] [Correct: 0.056000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 84.640000], [Loss: 0.505388] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.800000], [Loss: 0.342060] [Correct: 0.062000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 85.240000], [Loss: 0.486425] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.200000], [Loss: 0.287628] [Correct: 0.094000]\n",
      "Saving..\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 85.920000], [Loss: 0.456635] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.400000], [Loss: 0.515029] [Correct: 0.036000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 86.040000], [Loss: 0.446222] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.200000], [Loss: 0.228217] [Correct: 0.198000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 8\n",
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      "[Test Accuracy: 8.400000], [Loss: 0.239702] [Correct: 0.086000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 87.040000], [Loss: 0.408846] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.600000], [Loss: 0.344925] [Correct: 0.186000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 89.200000], [Loss: 0.364578] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.200000], [Loss: 0.130596] [Correct: 0.124000]\n",
      "\n",
      "Epoch: 11\n",
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      "[Test Accuracy: 22.000000], [Loss: 0.322806] [Correct: 0.232000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 12\n",
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      "[Test Accuracy: 17.800000], [Loss: 0.385111] [Correct: 0.190000]\n",
      "\n",
      "Epoch: 13\n",
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      "\n",
      "Epoch: 14\n",
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      "Saving..\n",
      "\n",
      "Epoch: 15\n",
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      "[Test Accuracy: 17.000000], [Loss: 0.083373] [Correct: 0.172000]\n",
      "\n",
      "Epoch: 16\n",
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      "[Test Accuracy: 20.800000], [Loss: 0.435701] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 17\n",
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      "\n",
      "Epoch: 18\n",
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      "[Test Accuracy: 17.200000], [Loss: 0.204916] [Correct: 0.176000]\n",
      "\n",
      "Epoch: 19\n",
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      "[Test Accuracy: 34.200000], [Loss: 0.310576] [Correct: 0.356000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 20\n",
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      "[Test Accuracy: 31.200000], [Loss: 0.146787] [Correct: 0.318000]\n",
      "\n",
      "Epoch: 21\n",
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      "[Test Accuracy: 28.800000], [Loss: 0.227448] [Correct: 0.296000]\n",
      "\n",
      "Epoch: 22\n",
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      "[Test Accuracy: 35.600000], [Loss: 0.175044] [Correct: 0.364000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 23\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.279095] [Correct: 0.348000]\n",
      "\n",
      "Epoch: 24\n",
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      "\n",
      "Epoch: 25\n",
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      "[Test Accuracy: 36.000000], [Loss: 0.109023] [Correct: 0.366000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 26\n",
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      "[Test Accuracy: 33.400000], [Loss: 0.437154] [Correct: 0.354000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 93.560000], [Loss: 0.230741] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.200000], [Loss: 0.036052] [Correct: 0.294000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 94.000000], [Loss: 0.229228] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.600000], [Loss: 0.345840] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 29\n",
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      "[Test Accuracy: 29.000000], [Loss: 0.227735] [Correct: 0.298000]\n",
      "\n",
      "Epoch: 30\n",
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      "[Test Accuracy: 39.800000], [Loss: 0.135126] [Correct: 0.406000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 31\n",
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      "[Test Accuracy: 37.000000], [Loss: 1.601374] [Correct: 0.442000]\n",
      "\n",
      "Epoch: 32\n",
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      "[Test Accuracy: 35.600000], [Loss: 0.308696] [Correct: 0.370000]\n",
      "\n",
      "Epoch: 33\n",
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      "\n",
      "Epoch: 34\n",
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      "\n",
      "Epoch: 35\n",
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      "Saving..\n",
      "\n",
      "Epoch: 36\n",
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      "\n",
      "Epoch: 37\n",
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      "[Test Accuracy: 36.200000], [Loss: 0.274827] [Correct: 0.376000]\n",
      "\n",
      "Epoch: 38\n",
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      "[Test Accuracy: 39.800000], [Loss: 0.150898] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 39\n",
      "[Train: ], [39/250: ], [Accuracy: 95.640000], [Loss: 0.165951] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.400000], [Loss: 0.524388] [Correct: 0.314000]\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 94.360000], [Loss: 0.192125] [LossS: 0.000000] [Lr: 0.010000]\n",
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      "\n",
      "Epoch: 41\n",
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      "\n",
      "Epoch: 42\n",
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      "\n",
      "Epoch: 43\n",
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      "[Test Accuracy: 39.000000], [Loss: 0.191190] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 44\n",
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      "\n",
      "Epoch: 45\n",
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      "\n",
      "Epoch: 46\n",
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      "[Test Accuracy: 38.800000], [Loss: 0.362984] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 47\n",
      "[Train: ], [47/250: ], [Accuracy: 95.040000], [Loss: 0.175287] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 34.200000], [Loss: 0.134373] [Correct: 0.348000]\n",
      "\n",
      "Epoch: 48\n",
      "[Train: ], [48/250: ], [Accuracy: 96.600000], [Loss: 0.154370] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 37.800000], [Loss: 0.345612] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 49\n",
      "[Train: ], [49/250: ], [Accuracy: 95.720000], [Loss: 0.166395] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.000000], [Loss: 0.339165] [Correct: 0.450000]\n",
      "\n",
      "Epoch: 50\n",
      "[Train: ], [50/250: ], [Accuracy: 95.800000], [Loss: 0.166686] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 41.000000], [Loss: 0.432897] [Correct: 0.436000]\n",
      "\n",
      "Epoch: 51\n",
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      "[Test Accuracy: 36.200000], [Loss: 0.526521] [Correct: 0.384000]\n",
      "\n",
      "Epoch: 52\n",
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      "[Test Accuracy: 42.000000], [Loss: 0.302603] [Correct: 0.436000]\n",
      "\n",
      "Epoch: 53\n",
      "[Train: ], [53/250: ], [Accuracy: 95.200000], [Loss: 0.169050] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 40.200000], [Loss: 0.125129] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 54\n",
      "[Train: ], [54/250: ], [Accuracy: 95.440000], [Loss: 0.173696] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.321825] [Correct: 0.480000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 55\n",
      "[Train: ], [55/250: ], [Accuracy: 95.960000], [Loss: 0.163449] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 43.800000], [Loss: 0.214906] [Correct: 0.450000]\n",
      "\n",
      "Epoch: 56\n",
      "[Train: ], [56/250: ], [Accuracy: 95.280000], [Loss: 0.179602] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 42.400000], [Loss: 0.260165] [Correct: 0.440000]\n",
      "\n",
      "Epoch: 57\n",
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      "[Test Accuracy: 42.800000], [Loss: 0.156697] [Correct: 0.440000]\n",
      "\n",
      "Epoch: 58\n",
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      "[Test Accuracy: 42.000000], [Loss: 0.246281] [Correct: 0.434000]\n",
      "\n",
      "Epoch: 59\n",
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      "[Test Accuracy: 37.600000], [Loss: 0.145231] [Correct: 0.384000]\n",
      "\n",
      "Epoch: 60\n",
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      "[Test Accuracy: 37.800000], [Loss: 0.502052] [Correct: 0.402000]\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 71\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 76\n",
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      "[Test Accuracy: 41.000000], [Loss: 0.249974] [Correct: 0.426000]\n",
      "\n",
      "Epoch: 77\n",
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      "\n",
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      "\n",
      "Epoch: 79\n",
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      "[Test Accuracy: 49.000000], [Loss: 0.445005] [Correct: 0.514000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 80\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 101\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [101/250: ], [Accuracy: 98.560000], [Loss: 0.084636] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 50.400000], [Loss: 0.197769] [Correct: 0.518000]\n",
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      "Saving..\n",
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      "\n",
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     "output_type": "stream",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 51.800000], [Loss: 0.193849] [Correct: 0.532000]\n",
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      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 99.880000], [Loss: 0.045715] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.600000], [Loss: 0.211149] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 225\n",
      "[Train: ], [225/250: ], [Accuracy: 99.760000], [Loss: 0.045698] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.800000], [Loss: 0.209755] [Correct: 0.544000]\n",
      "\n",
      "Epoch: 226\n",
      "[Train: ], [226/250: ], [Accuracy: 99.880000], [Loss: 0.044379] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.400000], [Loss: 0.214315] [Correct: 0.540000]\n",
      "\n",
      "Epoch: 227\n",
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      "[Test Accuracy: 52.400000], [Loss: 0.194497] [Correct: 0.538000]\n",
      "\n",
      "Epoch: 228\n",
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      "[Test Accuracy: 51.800000], [Loss: 0.196045] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 229\n",
      "[Train: ], [229/250: ], [Accuracy: 100.000000], [Loss: 0.041320] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.200000], [Loss: 0.195456] [Correct: 0.526000]\n",
      "\n",
      "Epoch: 230\n",
      "[Train: ], [230/250: ], [Accuracy: 99.760000], [Loss: 0.047279] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.600000], [Loss: 0.171535] [Correct: 0.528000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 99.960000], [Loss: 0.045250] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.600000], [Loss: 0.192992] [Correct: 0.540000]\n",
      "\n",
      "Epoch: 232\n",
      "[Train: ], [232/250: ], [Accuracy: 99.920000], [Loss: 0.044325] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 53.000000], [Loss: 0.208214] [Correct: 0.546000]\n",
      "\n",
      "Epoch: 233\n",
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      "[Test Accuracy: 53.200000], [Loss: 0.204595] [Correct: 0.548000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.960000], [Loss: 0.042830] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.400000], [Loss: 0.192254] [Correct: 0.538000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 99.920000], [Loss: 0.044645] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.600000], [Loss: 0.191565] [Correct: 0.540000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.920000], [Loss: 0.044091] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.800000], [Loss: 0.194838] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.840000], [Loss: 0.043205] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.800000], [Loss: 0.207280] [Correct: 0.544000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 99.920000], [Loss: 0.042773] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.800000], [Loss: 0.192066] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 239\n",
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      "[Test Accuracy: 52.400000], [Loss: 0.193303] [Correct: 0.538000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.680000], [Loss: 0.049270] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 53.200000], [Loss: 0.190497] [Correct: 0.546000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.920000], [Loss: 0.044177] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.000000], [Loss: 0.194858] [Correct: 0.534000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.840000], [Loss: 0.042761] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.800000], [Loss: 0.192917] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 243\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [243/250: ], [Accuracy: 99.720000], [Loss: 0.049570] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 52.400000], [Loss: 0.194953] [Correct: 0.538000]\n",
      "\n",
      "Epoch: 244\n",
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      "[Test Accuracy: 51.800000], [Loss: 0.193803] [Correct: 0.532000]\n",
      "\n",
      "Epoch: 245\n",
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      "[Test Accuracy: 53.000000], [Loss: 0.208956] [Correct: 0.546000]\n",
      "\n",
      "Epoch: 246\n",
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      "\n",
      "Epoch: 247\n",
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      "[Test Accuracy: 52.600000], [Loss: 0.190248] [Correct: 0.540000]\n",
      "\n",
      "Epoch: 248\n",
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      "[Test Accuracy: 52.400000], [Loss: 0.192935] [Correct: 0.538000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.960000], [Loss: 0.043962] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 51.800000], [Loss: 0.194445] [Correct: 0.532000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task6.pth\n",
      "Task: 6  Test_accuracy: 53.8\n",
      "Training Task :---7\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task6.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 52.560000], [Loss: 1.887815] [LossS: 0.000000] [Lr: 0.010000]\n",
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      "Saving..\n",
      "\n",
      "Epoch: 1\n",
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      "\n",
      "Epoch: 2\n",
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      "\n",
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      "\n",
      "Epoch: 6\n",
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      "Saving..\n",
      "\n",
      "Epoch: 7\n",
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      "\n",
      "Epoch: 8\n",
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      "[Test Accuracy: 6.400000], [Loss: 0.013327] [Correct: 0.064000]\n",
      "\n",
      "Epoch: 9\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 17\n",
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      "Saving..\n",
      "\n",
      "Epoch: 18\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 22\n",
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      "Saving..\n",
      "\n",
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      "Saving..\n",
      "\n",
      "Epoch: 24\n",
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      "Saving..\n",
      "\n",
      "Epoch: 25\n",
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      "[Test Accuracy: 21.000000], [Loss: 0.138824] [Correct: 0.214000]\n",
      "\n",
      "Epoch: 26\n",
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      "Saving..\n",
      "\n",
      "Epoch: 27\n",
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      "[Test Accuracy: 20.400000], [Loss: 0.635800] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 28\n",
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      "[Test Accuracy: 23.000000], [Loss: 0.004358] [Correct: 0.230000]\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 94.160000], [Loss: 0.222987] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.200000], [Loss: 0.183637] [Correct: 0.186000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 93.680000], [Loss: 0.226064] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.400000], [Loss: 0.211028] [Correct: 0.262000]\n",
      "\n",
      "Epoch: 31\n",
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      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 92.480000], [Loss: 0.251884] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.000000], [Loss: 0.279665] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 93.680000], [Loss: 0.222777] [LossS: 0.000000] [Lr: 0.010000]\n",
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      "Saving..\n",
      "\n",
      "Epoch: 34\n",
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      "[Test Accuracy: 27.000000], [Loss: 0.181340] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 35\n",
      "[Train: ], [35/250: ], [Accuracy: 93.680000], [Loss: 0.223841] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.800000], [Loss: 0.078450] [Correct: 0.250000]\n",
      "\n",
      "Epoch: 36\n",
      "[Train: ], [36/250: ], [Accuracy: 94.160000], [Loss: 0.211317] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.800000], [Loss: 0.125317] [Correct: 0.242000]\n",
      "\n",
      "Epoch: 37\n",
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      "Saving..\n",
      "\n",
      "Epoch: 38\n",
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      "[Test Accuracy: 31.000000], [Loss: 0.063267] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 39\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [39/250: ], [Accuracy: 95.200000], [Loss: 0.183787] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.246669] [Correct: 0.280000]\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 95.840000], [Loss: 0.175881] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.000000], [Loss: 0.090713] [Correct: 0.284000]\n",
      "\n",
      "Epoch: 41\n",
      "[Train: ], [41/250: ], [Accuracy: 94.360000], [Loss: 0.203114] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.200000], [Loss: 0.180057] [Correct: 0.258000]\n",
      "\n",
      "Epoch: 42\n",
      "[Train: ], [42/250: ], [Accuracy: 93.880000], [Loss: 0.215886] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.600000], [Loss: 0.055451] [Correct: 0.308000]\n",
      "\n",
      "Epoch: 43\n",
      "[Train: ], [43/250: ], [Accuracy: 94.600000], [Loss: 0.190533] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 34.600000], [Loss: 0.002646] [Correct: 0.346000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 44\n",
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      "\n",
      "Epoch: 45\n",
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      "\n",
      "Epoch: 46\n",
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      "\n",
      "Epoch: 47\n",
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      "\n",
      "Epoch: 48\n",
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      "[Test Accuracy: 29.600000], [Loss: 0.006340] [Correct: 0.296000]\n",
      "\n",
      "Epoch: 49\n",
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      "\n",
      "Epoch: 50\n",
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      "[Test Accuracy: 32.800000], [Loss: 0.395314] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 51\n",
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      "\n",
      "Epoch: 52\n",
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      "\n",
      "Epoch: 53\n",
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      "\n",
      "Epoch: 54\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 22.000000], [Loss: 0.124988] [Correct: 0.224000]\n",
      "\n",
      "Epoch: 57\n",
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      "\n",
      "Epoch: 58\n",
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      "\n",
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      "\n",
      "Epoch: 61\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 30.800000], [Loss: 0.346645] [Correct: 0.320000]\n",
      "\n",
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      "\n",
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      "\n",
      "Epoch: 86\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 33.400000], [Loss: 0.048139] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 87\n",
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      "Epoch: 91\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 45.600000], [Loss: 0.062880] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 134\n",
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      "\n",
      "Epoch: 135\n",
      "[Train: ], [135/250: ], [Accuracy: 99.800000], [Loss: 0.048857] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.089048] [Correct: 0.468000]\n",
      "\n",
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      "Saving..\n",
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      "\n",
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      "\n",
      "Epoch: 139\n",
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      "\n",
      "Epoch: 140\n",
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      "\n",
      "Epoch: 141\n",
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      "\n",
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      "\n",
      "Epoch: 143\n",
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      "\n",
      "Epoch: 144\n",
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      "\n",
      "Epoch: 145\n",
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      "\n",
      "Epoch: 146\n",
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      "Saving..\n",
      "\n",
      "Epoch: 147\n",
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      "\n",
      "Epoch: 148\n",
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      "Saving..\n",
      "\n",
      "Epoch: 149\n",
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      "Saving..\n",
      "\n",
      "Epoch: 150\n",
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      "\n",
      "Epoch: 151\n",
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      "\n",
      "Epoch: 152\n",
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      "\n",
      "Epoch: 153\n",
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      "\n",
      "Epoch: 154\n",
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      "\n",
      "Epoch: 155\n",
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      "\n",
      "Epoch: 156\n",
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      "Saving..\n",
      "\n",
      "Epoch: 157\n",
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      "\n",
      "Epoch: 158\n",
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      "\n",
      "Epoch: 159\n",
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      "\n",
      "Epoch: 160\n",
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      "Saving..\n",
      "\n",
      "Epoch: 161\n",
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      "\n",
      "Epoch: 162\n",
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      "\n",
      "Epoch: 163\n",
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      "\n",
      "Epoch: 164\n",
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      "\n",
      "Epoch: 165\n",
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      "\n",
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      "\n",
      "Epoch: 167\n",
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      "\n",
      "Epoch: 168\n",
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      "\n",
      "Epoch: 169\n",
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      "\n",
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      "\n",
      "Epoch: 171\n",
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      "\n",
      "Epoch: 172\n",
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      "\n",
      "Epoch: 173\n",
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      "\n",
      "Epoch: 174\n",
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      "\n",
      "Epoch: 175\n",
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      "\n",
      "Epoch: 176\n",
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      "\n",
      "Epoch: 177\n",
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      "\n",
      "Epoch: 178\n",
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      "\n",
      "Epoch: 179\n",
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      "\n",
      "Epoch: 180\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 47.800000], [Loss: 0.061074] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 181\n",
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      "\n",
      "Epoch: 182\n",
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      "\n",
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      "\n",
      "Epoch: 184\n",
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      "\n",
      "Epoch: 185\n",
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      "\n",
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      "\n",
      "Epoch: 187\n",
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      "\n",
      "Epoch: 188\n",
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      "\n",
      "Epoch: 189\n",
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      "\n",
      "Epoch: 190\n",
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      "\n",
      "Epoch: 191\n",
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      "\n",
      "Epoch: 192\n",
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      "\n",
      "Epoch: 193\n",
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      "\n",
      "Epoch: 194\n",
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      "\n",
      "Epoch: 195\n",
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      "[Test Accuracy: 47.200000], [Loss: 0.063751] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 196\n",
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      "\n",
      "Epoch: 197\n",
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      "\n",
      "Epoch: 198\n",
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      "\n",
      "Epoch: 199\n",
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      "Saving..\n",
      "\n",
      "Epoch: 200\n",
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      "\n",
      "Epoch: 201\n",
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      "\n",
      "Epoch: 202\n",
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      "\n",
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      "\n",
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      "Saving..\n",
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      "\n",
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      "\n",
      "Epoch: 207\n",
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      "\n",
      "Epoch: 208\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 217\n",
      "[Train: ], [217/250: ], [Accuracy: 99.840000], [Loss: 0.045841] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.066324] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 218\n",
      "[Train: ], [218/250: ], [Accuracy: 99.800000], [Loss: 0.044721] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.064593] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 99.840000], [Loss: 0.044799] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.064469] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 99.680000], [Loss: 0.046588] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.000000], [Loss: 0.062983] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 221\n",
      "[Train: ], [221/250: ], [Accuracy: 99.880000], [Loss: 0.044737] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.065462] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 99.760000], [Loss: 0.047690] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.064848] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.840000], [Loss: 0.045440] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.062892] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 99.840000], [Loss: 0.044200] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.064554] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 225\n",
      "[Train: ], [225/250: ], [Accuracy: 99.720000], [Loss: 0.052224] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.063603] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 226\n",
      "[Train: ], [226/250: ], [Accuracy: 99.760000], [Loss: 0.046953] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.064796] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 227\n",
      "[Train: ], [227/250: ], [Accuracy: 99.880000], [Loss: 0.043415] [LossS: 0.000000] [Lr: 0.000010]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 46.400000], [Loss: 0.065670] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 228\n",
      "[Train: ], [228/250: ], [Accuracy: 99.840000], [Loss: 0.044857] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.065093] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 229\n",
      "[Train: ], [229/250: ], [Accuracy: 99.800000], [Loss: 0.046910] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.064919] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 230\n",
      "[Train: ], [230/250: ], [Accuracy: 99.800000], [Loss: 0.047640] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.064793] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 99.760000], [Loss: 0.049549] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.000000], [Loss: 0.065181] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 232\n",
      "[Train: ], [232/250: ], [Accuracy: 99.840000], [Loss: 0.044457] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.063513] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 99.840000], [Loss: 0.044368] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.000000], [Loss: 0.064439] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.800000], [Loss: 0.047419] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.400000], [Loss: 0.064133] [Correct: 0.488000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 99.720000], [Loss: 0.046219] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.200000], [Loss: 0.061104] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 236\n",
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      "[Test Accuracy: 47.000000], [Loss: 0.064621] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.760000], [Loss: 0.045289] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.200000], [Loss: 0.062466] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 238\n",
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      "[Test Accuracy: 47.400000], [Loss: 0.063485] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 239\n",
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      "[Test Accuracy: 47.400000], [Loss: 0.064981] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.840000], [Loss: 0.044989] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.062004] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.760000], [Loss: 0.044715] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.064488] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.840000], [Loss: 0.043372] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.063381] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 99.720000], [Loss: 0.048555] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.065859] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.760000], [Loss: 0.044693] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.200000], [Loss: 0.062755] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.800000], [Loss: 0.045730] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.062510] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 246\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.065124] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.760000], [Loss: 0.049295] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.066282] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.760000], [Loss: 0.049055] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.062972] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.760000], [Loss: 0.045126] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.065720] [Correct: 0.476000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task7.pth\n",
      "Task: 7  Test_accuracy: 48.6\n",
      "Training Task :---8\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task7.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 53.760000], [Loss: 1.731299] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.400000], [Loss: 0.043154] [Correct: 0.004000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 67.920000], [Loss: 0.932887] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.600000], [Loss: 1.145926] [Correct: 0.008000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 74.480000], [Loss: 0.781083] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.200000], [Loss: 0.240813] [Correct: 0.054000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 76.480000], [Loss: 0.704069] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 1.000000], [Loss: 0.034911] [Correct: 0.010000]\n",
      "\n",
      "Epoch: 4\n",
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      "[Test Accuracy: 9.000000], [Loss: 0.193512] [Correct: 0.092000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 81.280000], [Loss: 0.590788] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.800000], [Loss: 0.233800] [Correct: 0.090000]\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 79.880000], [Loss: 0.602798] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.000000], [Loss: 0.031054] [Correct: 0.030000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 82.800000], [Loss: 0.544667] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.000000], [Loss: 0.418936] [Correct: 0.074000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 83.760000], [Loss: 0.485259] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.200000], [Loss: 0.152076] [Correct: 0.134000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 84.560000], [Loss: 0.492423] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.000000], [Loss: 0.013554] [Correct: 0.090000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 85.880000], [Loss: 0.461508] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.200000], [Loss: 0.115994] [Correct: 0.194000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 86.320000], [Loss: 0.453388] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.600000], [Loss: 0.644295] [Correct: 0.126000]\n",
      "\n",
      "Epoch: 12\n",
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      "[Test Accuracy: 8.600000], [Loss: 0.168392] [Correct: 0.088000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 86.280000], [Loss: 0.433158] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.000000], [Loss: 0.210471] [Correct: 0.164000]\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 85.800000], [Loss: 0.450238] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.200000], [Loss: 0.627271] [Correct: 0.156000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 87.120000], [Loss: 0.414383] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.600000], [Loss: 0.252071] [Correct: 0.080000]\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 87.480000], [Loss: 0.415233] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.400000], [Loss: 0.452034] [Correct: 0.172000]\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 87.840000], [Loss: 0.394387] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.400000], [Loss: 0.546432] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 88.520000], [Loss: 0.358585] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.200000], [Loss: 0.428737] [Correct: 0.162000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 90.160000], [Loss: 0.334206] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.200000], [Loss: 0.522074] [Correct: 0.152000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 89.320000], [Loss: 0.363708] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.848878] [Correct: 0.300000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 89.080000], [Loss: 0.360019] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.400000], [Loss: 0.601764] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 89.160000], [Loss: 0.356945] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.000000], [Loss: 0.951262] [Correct: 0.226000]\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 89.720000], [Loss: 0.325842] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.800000], [Loss: 0.338658] [Correct: 0.226000]\n",
      "\n",
      "Epoch: 24\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [24/250: ], [Accuracy: 89.440000], [Loss: 0.339019] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.000000], [Loss: 0.324325] [Correct: 0.228000]\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 91.000000], [Loss: 0.306293] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 2.314635] [Correct: 0.282000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 90.520000], [Loss: 0.323233] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.800000], [Loss: 0.653327] [Correct: 0.304000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 90.280000], [Loss: 0.318051] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.400000], [Loss: 0.294182] [Correct: 0.180000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 90.080000], [Loss: 0.326948] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.600000], [Loss: 0.651842] [Correct: 0.236000]\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 89.520000], [Loss: 0.331767] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.600000], [Loss: 0.459320] [Correct: 0.228000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 90.640000], [Loss: 0.306661] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.000000], [Loss: 0.102394] [Correct: 0.254000]\n",
      "\n",
      "Epoch: 31\n",
      "[Train: ], [31/250: ], [Accuracy: 90.680000], [Loss: 0.299435] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.400000], [Loss: 0.314929] [Correct: 0.244000]\n",
      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 91.480000], [Loss: 0.288772] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.800000], [Loss: 0.600127] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 92.120000], [Loss: 0.268444] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.600000], [Loss: 0.278886] [Correct: 0.234000]\n",
      "\n",
      "Epoch: 34\n",
      "[Train: ], [34/250: ], [Accuracy: 92.000000], [Loss: 0.284890] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.050202] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 35\n",
      "[Train: ], [35/250: ], [Accuracy: 91.760000], [Loss: 0.264938] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.400000], [Loss: 1.891459] [Correct: 0.188000]\n",
      "\n",
      "Epoch: 36\n",
      "[Train: ], [36/250: ], [Accuracy: 93.040000], [Loss: 0.247495] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.800000], [Loss: 0.414929] [Correct: 0.324000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 37\n",
      "[Train: ], [37/250: ], [Accuracy: 93.400000], [Loss: 0.224364] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.800000], [Loss: 0.151837] [Correct: 0.252000]\n",
      "\n",
      "Epoch: 38\n",
      "[Train: ], [38/250: ], [Accuracy: 92.840000], [Loss: 0.262971] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 35.400000], [Loss: 0.255088] [Correct: 0.364000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 39\n",
      "[Train: ], [39/250: ], [Accuracy: 92.680000], [Loss: 0.255074] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.200000], [Loss: 0.142192] [Correct: 0.246000]\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 92.400000], [Loss: 0.274712] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.600000], [Loss: 0.316434] [Correct: 0.298000]\n",
      "\n",
      "Epoch: 41\n",
      "[Train: ], [41/250: ], [Accuracy: 92.320000], [Loss: 0.262733] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.000000], [Loss: 0.346629] [Correct: 0.292000]\n",
      "\n",
      "Epoch: 42\n",
      "[Train: ], [42/250: ], [Accuracy: 92.040000], [Loss: 0.266719] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.400000], [Loss: 0.751264] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 43\n",
      "[Train: ], [43/250: ], [Accuracy: 92.720000], [Loss: 0.240824] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.800000], [Loss: 0.815913] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 44\n",
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      "[Test Accuracy: 31.600000], [Loss: 0.347042] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 45\n",
      "[Train: ], [45/250: ], [Accuracy: 92.400000], [Loss: 0.251243] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 0.179815] [Correct: 0.212000]\n",
      "\n",
      "Epoch: 46\n",
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      "[Test Accuracy: 20.200000], [Loss: 2.484904] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 47\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 25.800000], [Loss: 0.160725] [Correct: 0.262000]\n",
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     ]
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 46.600000], [Loss: 0.212923] [Correct: 0.478000]\n",
      "\n",
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      "\n",
      "Epoch: 128\n",
      "[Train: ], [128/250: ], [Accuracy: 99.680000], [Loss: 0.054730] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.241106] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 129\n",
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      "[Test Accuracy: 47.000000], [Loss: 0.230452] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 130\n",
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      "[Test Accuracy: 45.600000], [Loss: 0.277835] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 131\n",
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      "[Test Accuracy: 47.400000], [Loss: 0.266569] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 132\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.214610] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 133\n",
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      "[Test Accuracy: 47.600000], [Loss: 0.218968] [Correct: 0.488000]\n",
      "\n",
      "Epoch: 134\n",
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      "\n",
      "Epoch: 135\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.237615] [Correct: 0.492000]\n",
      "\n",
      "Epoch: 136\n",
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      "[Test Accuracy: 48.400000], [Loss: 0.243183] [Correct: 0.498000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 137\n",
      "[Train: ], [137/250: ], [Accuracy: 99.560000], [Loss: 0.054611] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.277408] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 138\n",
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      "[Test Accuracy: 49.000000], [Loss: 0.244518] [Correct: 0.504000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 139\n",
      "[Train: ], [139/250: ], [Accuracy: 99.680000], [Loss: 0.055170] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 48.800000], [Loss: 0.188809] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 140\n",
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      "[Test Accuracy: 48.200000], [Loss: 0.269940] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 141\n",
      "[Train: ], [141/250: ], [Accuracy: 99.880000], [Loss: 0.050881] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.274392] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 142\n",
      "[Train: ], [142/250: ], [Accuracy: 99.400000], [Loss: 0.057634] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.266530] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 143\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.269488] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 144\n",
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      "[Test Accuracy: 49.200000], [Loss: 0.210653] [Correct: 0.504000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 145\n",
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      "\n",
      "Epoch: 146\n",
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      "\n",
      "Epoch: 147\n",
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      "\n",
      "Epoch: 148\n",
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      "\n",
      "Epoch: 149\n",
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      "\n",
      "Epoch: 150\n",
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      "\n",
      "Epoch: 151\n",
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      "\n",
      "Epoch: 152\n",
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      "\n",
      "Epoch: 153\n",
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      "\n",
      "Epoch: 154\n",
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      "\n",
      "Epoch: 155\n",
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      "\n",
      "Epoch: 156\n",
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      "\n",
      "Epoch: 157\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.249893] [Correct: 0.492000]\n",
      "\n",
      "Epoch: 158\n",
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      "\n",
      "Epoch: 159\n",
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      "\n",
      "Epoch: 160\n",
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      "[Test Accuracy: 48.400000], [Loss: 0.276579] [Correct: 0.500000]\n",
      "\n",
      "Epoch: 161\n",
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      "\n",
      "Epoch: 162\n",
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      "\n",
      "Epoch: 163\n",
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      "\n",
      "Epoch: 164\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.248543] [Correct: 0.492000]\n",
      "\n",
      "Epoch: 165\n",
      "[Train: ], [165/250: ], [Accuracy: 99.680000], [Loss: 0.048774] [LossS: 0.000000] [Lr: 0.000100]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 48.000000], [Loss: 0.309704] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 166\n",
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      "\n",
      "Epoch: 167\n",
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      "\n",
      "Epoch: 168\n",
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      "\n",
      "Epoch: 169\n",
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      "\n",
      "Epoch: 170\n",
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      "\n",
      "Epoch: 171\n",
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      "\n",
      "Epoch: 172\n",
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      "\n",
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      "\n",
      "Epoch: 174\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 182\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 187\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 192\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 208\n",
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      "\n",
      "Epoch: 209\n",
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      "\n",
      "Epoch: 210\n",
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      "[Test Accuracy: 48.000000], [Loss: 0.304112] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 211\n",
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      "[Test Accuracy: 48.000000], [Loss: 0.272430] [Correct: 0.496000]\n",
      "\n",
      "Epoch: 212\n",
      "[Train: ], [212/250: ], [Accuracy: 99.600000], [Loss: 0.050992] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.272864] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 213\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [213/250: ], [Accuracy: 99.800000], [Loss: 0.049576] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.273937] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 214\n",
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      "[Test Accuracy: 48.400000], [Loss: 0.276475] [Correct: 0.500000]\n",
      "\n",
      "Epoch: 215\n",
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      "[Test Accuracy: 47.400000], [Loss: 0.240708] [Correct: 0.488000]\n",
      "\n",
      "Epoch: 216\n",
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      "[Test Accuracy: 48.000000], [Loss: 0.313439] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 217\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.305826] [Correct: 0.496000]\n",
      "\n",
      "Epoch: 218\n",
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      "[Test Accuracy: 48.000000], [Loss: 0.305704] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 219\n",
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      "[Test Accuracy: 47.000000], [Loss: 0.277675] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 220\n",
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      "\n",
      "Epoch: 221\n",
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      "[Test Accuracy: 47.600000], [Loss: 0.274128] [Correct: 0.492000]\n",
      "\n",
      "Epoch: 222\n",
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      "[Test Accuracy: 47.600000], [Loss: 0.273182] [Correct: 0.492000]\n",
      "\n",
      "Epoch: 223\n",
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      "[Test Accuracy: 48.000000], [Loss: 0.268949] [Correct: 0.496000]\n",
      "\n",
      "Epoch: 224\n",
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      "\n",
      "Epoch: 225\n",
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      "\n",
      "Epoch: 226\n",
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      "\n",
      "Epoch: 227\n",
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      "\n",
      "Epoch: 228\n",
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      "[Test Accuracy: 47.600000], [Loss: 0.305011] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 229\n",
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      "[Test Accuracy: 48.000000], [Loss: 0.309351] [Correct: 0.498000]\n",
      "\n",
      "Epoch: 230\n",
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      "\n",
      "Epoch: 231\n",
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      "\n",
      "Epoch: 232\n",
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      "\n",
      "Epoch: 233\n",
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      "\n",
      "Epoch: 234\n",
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      "[Test Accuracy: 47.600000], [Loss: 0.271861] [Correct: 0.492000]\n",
      "\n",
      "Epoch: 235\n",
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      "\n",
      "Epoch: 236\n",
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      "\n",
      "Epoch: 237\n",
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      "\n",
      "Epoch: 238\n",
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      "\n",
      "Epoch: 239\n",
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      "\n",
      "Epoch: 240\n",
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      "\n",
      "Epoch: 241\n",
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      "\n",
      "Epoch: 242\n",
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      "\n",
      "Epoch: 243\n",
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      "\n",
      "Epoch: 244\n",
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      "\n",
      "Epoch: 245\n",
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      "\n",
      "Epoch: 246\n",
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      "\n",
      "Epoch: 247\n",
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      "\n",
      "Epoch: 248\n",
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      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.760000], [Loss: 0.046698] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.272042] [Correct: 0.490000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task8.pth\n",
      "Task: 8  Test_accuracy: 49.2\n",
      "Training Task :---9\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task8.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 64.040000], [Loss: 1.479791] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.800000], [Loss: 1.840551] [Correct: 0.098000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 80.200000], [Loss: 0.616783] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.600000], [Loss: 0.379036] [Correct: 0.028000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 84.360000], [Loss: 0.496039] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.000000], [Loss: 0.005533] [Correct: 0.090000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 86.480000], [Loss: 0.436286] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 10.000000], [Loss: 0.142664] [Correct: 0.102000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 86.440000], [Loss: 0.412620] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.400000], [Loss: 0.004065] [Correct: 0.114000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 89.880000], [Loss: 0.339701] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.200000], [Loss: 0.223967] [Correct: 0.218000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 90.280000], [Loss: 0.330403] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.200000], [Loss: 0.264200] [Correct: 0.096000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 90.960000], [Loss: 0.302071] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.000000], [Loss: 0.267376] [Correct: 0.052000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 91.440000], [Loss: 0.287293] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.800000], [Loss: 0.177580] [Correct: 0.192000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 91.480000], [Loss: 0.289197] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 19.600000], [Loss: 0.287386] [Correct: 0.202000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 91.960000], [Loss: 0.265232] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.000000], [Loss: 0.297786] [Correct: 0.146000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 93.400000], [Loss: 0.238243] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.000000], [Loss: 0.378824] [Correct: 0.178000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 92.200000], [Loss: 0.265825] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.200000], [Loss: 0.274722] [Correct: 0.228000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 92.600000], [Loss: 0.255473] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.400000], [Loss: 0.354812] [Correct: 0.266000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 92.600000], [Loss: 0.238955] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.800000], [Loss: 0.134766] [Correct: 0.180000]\n",
      "\n",
      "Epoch: 15\n",
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      "[Test Accuracy: 17.600000], [Loss: 0.156379] [Correct: 0.180000]\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 94.400000], [Loss: 0.197824] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.202054] [Correct: 0.274000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 17\n",
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      "[Test Accuracy: 24.400000], [Loss: 0.148248] [Correct: 0.248000]\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 94.720000], [Loss: 0.192391] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.400000], [Loss: 0.285283] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 95.320000], [Loss: 0.175141] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.800000], [Loss: 0.180845] [Correct: 0.252000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 94.280000], [Loss: 0.200170] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.000000], [Loss: 0.352045] [Correct: 0.208000]\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 93.520000], [Loss: 0.236342] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 37.200000], [Loss: 0.096212] [Correct: 0.376000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 94.520000], [Loss: 0.209694] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.600000], [Loss: 0.436571] [Correct: 0.174000]\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 95.000000], [Loss: 0.195837] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.200000], [Loss: 0.142129] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 24\n",
      "[Train: ], [24/250: ], [Accuracy: 94.880000], [Loss: 0.188832] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.000000], [Loss: 0.123803] [Correct: 0.254000]\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 94.320000], [Loss: 0.194932] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.800000], [Loss: 0.113111] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 95.880000], [Loss: 0.156826] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.400000], [Loss: 0.187789] [Correct: 0.240000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 95.640000], [Loss: 0.162676] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.800000], [Loss: 0.117995] [Correct: 0.302000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 96.040000], [Loss: 0.156860] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.400000], [Loss: 0.085991] [Correct: 0.306000]\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 96.320000], [Loss: 0.143531] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.072214] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 95.680000], [Loss: 0.154172] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.200000], [Loss: 0.151410] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 31\n",
      "[Train: ], [31/250: ], [Accuracy: 96.440000], [Loss: 0.154127] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.282953] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 95.520000], [Loss: 0.174218] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.000000], [Loss: 0.111971] [Correct: 0.364000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 95.160000], [Loss: 0.170369] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.600000], [Loss: 0.098432] [Correct: 0.258000]\n",
      "\n",
      "Epoch: 34\n",
      "[Train: ], [34/250: ], [Accuracy: 96.160000], [Loss: 0.153753] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 32.200000], [Loss: 0.143681] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 35\n",
      "[Train: ], [35/250: ], [Accuracy: 96.080000], [Loss: 0.150914] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.281471] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 36\n",
      "[Train: ], [36/250: ], [Accuracy: 95.400000], [Loss: 0.152319] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 39.400000], [Loss: 0.299681] [Correct: 0.408000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 37\n",
      "[Train: ], [37/250: ], [Accuracy: 95.320000], [Loss: 0.174358] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.200000], [Loss: 0.287228] [Correct: 0.302000]\n",
      "\n",
      "Epoch: 38\n",
      "[Train: ], [38/250: ], [Accuracy: 95.560000], [Loss: 0.165405] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 36.200000], [Loss: 0.880555] [Correct: 0.398000]\n",
      "\n",
      "Epoch: 39\n",
      "[Train: ], [39/250: ], [Accuracy: 95.760000], [Loss: 0.163500] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 38.800000], [Loss: 0.061463] [Correct: 0.390000]\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 96.520000], [Loss: 0.135511] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.216949] [Correct: 0.322000]\n",
      "\n",
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      "\n",
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     ]
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     "output_type": "stream",
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     ]
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 45.000000], [Loss: 0.064158] [Correct: 0.452000]\n",
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      "[Test Accuracy: 46.600000], [Loss: 0.096626] [Correct: 0.470000]\n",
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      "Saving..\n",
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      "\n",
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      "\n",
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      "\n",
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      "Epoch: 148\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 48.400000], [Loss: 0.096256] [Correct: 0.488000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 151\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 47.000000], [Loss: 0.090752] [Correct: 0.474000]\n",
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      "Epoch: 152\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 199\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [199/250: ], [Accuracy: 99.840000], [Loss: 0.042853] [LossS: 0.000000] [Lr: 0.000100]\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 204\n",
      "[Train: ], [204/250: ], [Accuracy: 99.840000], [Loss: 0.041496] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.056378] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 205\n",
      "[Train: ], [205/250: ], [Accuracy: 99.920000], [Loss: 0.041938] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.094069] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 206\n",
      "[Train: ], [206/250: ], [Accuracy: 99.680000], [Loss: 0.048006] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.094151] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 207\n",
      "[Train: ], [207/250: ], [Accuracy: 99.840000], [Loss: 0.042297] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.093053] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 208\n",
      "[Train: ], [208/250: ], [Accuracy: 99.880000], [Loss: 0.040491] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.091495] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 209\n",
      "[Train: ], [209/250: ], [Accuracy: 99.840000], [Loss: 0.044469] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.093408] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 210\n",
      "[Train: ], [210/250: ], [Accuracy: 100.000000], [Loss: 0.038485] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.094442] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 211\n",
      "[Train: ], [211/250: ], [Accuracy: 99.920000], [Loss: 0.038774] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.094418] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 212\n",
      "[Train: ], [212/250: ], [Accuracy: 99.920000], [Loss: 0.038635] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.095653] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 213\n",
      "[Train: ], [213/250: ], [Accuracy: 99.800000], [Loss: 0.041678] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.094550] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 214\n",
      "[Train: ], [214/250: ], [Accuracy: 99.920000], [Loss: 0.040891] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.095496] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 215\n",
      "[Train: ], [215/250: ], [Accuracy: 99.920000], [Loss: 0.040007] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.094321] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 216\n",
      "[Train: ], [216/250: ], [Accuracy: 99.920000], [Loss: 0.039875] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.092310] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 217\n",
      "[Train: ], [217/250: ], [Accuracy: 99.840000], [Loss: 0.043035] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.094831] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 218\n",
      "[Train: ], [218/250: ], [Accuracy: 99.760000], [Loss: 0.042201] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.095814] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 99.920000], [Loss: 0.041447] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.094600] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 99.960000], [Loss: 0.041212] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.600000], [Loss: 0.092721] [Correct: 0.490000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 221\n",
      "[Train: ], [221/250: ], [Accuracy: 99.880000], [Loss: 0.041528] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.095785] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 99.920000], [Loss: 0.040315] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.094599] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.920000], [Loss: 0.040252] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.093638] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 100.000000], [Loss: 0.038983] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.094888] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 225\n",
      "[Train: ], [225/250: ], [Accuracy: 99.960000], [Loss: 0.039886] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.095735] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 226\n",
      "[Train: ], [226/250: ], [Accuracy: 99.720000], [Loss: 0.043606] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.092851] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 227\n",
      "[Train: ], [227/250: ], [Accuracy: 99.880000], [Loss: 0.041067] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.096912] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 228\n",
      "[Train: ], [228/250: ], [Accuracy: 99.880000], [Loss: 0.039473] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.200000], [Loss: 0.095768] [Correct: 0.456000]\n",
      "\n",
      "Epoch: 229\n",
      "[Train: ], [229/250: ], [Accuracy: 99.800000], [Loss: 0.041640] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.094791] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 230\n",
      "[Train: ], [230/250: ], [Accuracy: 99.960000], [Loss: 0.037859] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.095680] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 99.840000], [Loss: 0.042045] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.094107] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 232\n",
      "[Train: ], [232/250: ], [Accuracy: 99.800000], [Loss: 0.039236] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.400000], [Loss: 0.096042] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 99.800000], [Loss: 0.042573] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.093526] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.960000], [Loss: 0.040013] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.094752] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 99.960000], [Loss: 0.040945] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.094994] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.880000], [Loss: 0.039560] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.800000], [Loss: 0.095310] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.920000], [Loss: 0.040809] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.057170] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 99.800000], [Loss: 0.042471] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.094784] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 99.840000], [Loss: 0.043886] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.800000], [Loss: 0.095144] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.880000], [Loss: 0.039305] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.096528] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.800000], [Loss: 0.042513] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.400000], [Loss: 0.093673] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.960000], [Loss: 0.040834] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.095963] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 100.000000], [Loss: 0.039884] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.400000], [Loss: 0.096779] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.800000], [Loss: 0.042312] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.095208] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.880000], [Loss: 0.042172] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.094889] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 99.840000], [Loss: 0.042184] [LossS: 0.000000] [Lr: 0.000010]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 45.200000], [Loss: 0.096530] [Correct: 0.456000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.920000], [Loss: 0.038978] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.095008] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.760000], [Loss: 0.040792] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.092059] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.840000], [Loss: 0.041379] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.094941] [Correct: 0.464000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task9.pth\n",
      "Task: 9  Test_accuracy: 48.6\n",
      "Training Task :---10\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task9.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 70.320000], [Loss: 1.154341] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.000000], [Loss: 11.727908] [Correct: 0.612000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 79.800000], [Loss: 0.613963] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.400000], [Loss: 0.002311] [Correct: 0.114000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 82.760000], [Loss: 0.536243] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.600000], [Loss: 0.003322] [Correct: 0.076000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 83.400000], [Loss: 0.502666] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.800000], [Loss: 0.008589] [Correct: 0.058000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 85.560000], [Loss: 0.444882] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.400000], [Loss: 0.007726] [Correct: 0.074000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 87.480000], [Loss: 0.418525] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.400000], [Loss: 0.151726] [Correct: 0.096000]\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 87.240000], [Loss: 0.390188] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.200000], [Loss: 0.347738] [Correct: 0.190000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 87.880000], [Loss: 0.383131] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.400000], [Loss: 0.123007] [Correct: 0.096000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 88.440000], [Loss: 0.377448] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 10.800000], [Loss: 0.005369] [Correct: 0.108000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 89.680000], [Loss: 0.355027] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.000000], [Loss: 0.122177] [Correct: 0.142000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 89.680000], [Loss: 0.323221] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.000000], [Loss: 0.010315] [Correct: 0.070000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 89.880000], [Loss: 0.327002] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.200000], [Loss: 0.060530] [Correct: 0.174000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 90.000000], [Loss: 0.329214] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.400000], [Loss: 0.009217] [Correct: 0.064000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 90.280000], [Loss: 0.320654] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 10.200000], [Loss: 0.112033] [Correct: 0.104000]\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 90.040000], [Loss: 0.326462] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.200000], [Loss: 0.044540] [Correct: 0.184000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 91.000000], [Loss: 0.304824] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.600000], [Loss: 0.076905] [Correct: 0.228000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 91.760000], [Loss: 0.288058] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.400000], [Loss: 0.093701] [Correct: 0.156000]\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 92.160000], [Loss: 0.262066] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.200000], [Loss: 0.422539] [Correct: 0.118000]\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 91.400000], [Loss: 0.257801] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.800000], [Loss: 0.069556] [Correct: 0.230000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 91.720000], [Loss: 0.267738] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.200000], [Loss: 0.230880] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 92.560000], [Loss: 0.250403] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.800000], [Loss: 0.172373] [Correct: 0.284000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 93.000000], [Loss: 0.226213] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.338933] [Correct: 0.282000]\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 93.200000], [Loss: 0.237985] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.000000], [Loss: 0.255892] [Correct: 0.194000]\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 93.680000], [Loss: 0.231088] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.800000], [Loss: 0.104889] [Correct: 0.232000]\n",
      "\n",
      "Epoch: 24\n",
      "[Train: ], [24/250: ], [Accuracy: 92.240000], [Loss: 0.272444] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.400000], [Loss: 0.155123] [Correct: 0.310000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 92.760000], [Loss: 0.257417] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.000000], [Loss: 0.005681] [Correct: 0.140000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 94.000000], [Loss: 0.230698] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.000000], [Loss: 0.054229] [Correct: 0.212000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 93.720000], [Loss: 0.228976] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.200000], [Loss: 0.004264] [Correct: 0.202000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 94.000000], [Loss: 0.206551] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.400000], [Loss: 0.045450] [Correct: 0.236000]\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 94.960000], [Loss: 0.193643] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.600000], [Loss: 0.220436] [Correct: 0.294000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 94.640000], [Loss: 0.193037] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.000000], [Loss: 0.057908] [Correct: 0.222000]\n",
      "\n",
      "Epoch: 31\n",
      "[Train: ], [31/250: ], [Accuracy: 93.880000], [Loss: 0.219862] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 32.200000], [Loss: 0.038139] [Correct: 0.324000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 93.640000], [Loss: 0.206929] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.200286] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 94.720000], [Loss: 0.195480] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 31.400000], [Loss: 0.320920] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 34\n",
      "[Train: ], [34/250: ], [Accuracy: 94.560000], [Loss: 0.190282] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 32.200000], [Loss: 0.211276] [Correct: 0.328000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 35\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 42\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.296192] [Correct: 0.348000]\n",
      "\n",
      "Epoch: 43\n"
     ]
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     "output_type": "stream",
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      "[Train: ], [43/250: ], [Accuracy: 95.000000], [Loss: 0.177540] [LossS: 0.000000] [Lr: 0.010000]\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 34.000000], [Loss: 0.305440] [Correct: 0.352000]\n",
      "\n",
      "Epoch: 91\n",
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      "Saving..\n",
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      "Epoch: 118\n",
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      "\n",
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      "Saving..\n",
      "\n",
      "Epoch: 121\n",
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      "Saving..\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 131\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 134\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 137\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 47.000000], [Loss: 0.114224] [Correct: 0.476000]\n",
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      "Epoch: 138\n",
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      "\n",
      "Epoch: 185\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [185/250: ], [Accuracy: 99.720000], [Loss: 0.044744] [LossS: 0.000000] [Lr: 0.000100]\n",
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      "\n",
      "Epoch: 187\n",
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      "\n",
      "Epoch: 199\n",
      "[Train: ], [199/250: ], [Accuracy: 99.720000], [Loss: 0.046968] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.149675] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 200\n",
      "[Train: ], [200/250: ], [Accuracy: 99.920000], [Loss: 0.041309] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.148945] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 201\n",
      "[Train: ], [201/250: ], [Accuracy: 99.800000], [Loss: 0.046040] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.800000], [Loss: 0.146424] [Correct: 0.496000]\n",
      "\n",
      "Epoch: 202\n",
      "[Train: ], [202/250: ], [Accuracy: 99.840000], [Loss: 0.043118] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.148769] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 203\n",
      "[Train: ], [203/250: ], [Accuracy: 99.680000], [Loss: 0.043055] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.153802] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 204\n",
      "[Train: ], [204/250: ], [Accuracy: 99.800000], [Loss: 0.044328] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.600000], [Loss: 0.145616] [Correct: 0.494000]\n",
      "\n",
      "Epoch: 205\n",
      "[Train: ], [205/250: ], [Accuracy: 99.840000], [Loss: 0.041877] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.149660] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 206\n",
      "[Train: ], [206/250: ], [Accuracy: 99.680000], [Loss: 0.045208] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.147787] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 207\n",
      "[Train: ], [207/250: ], [Accuracy: 99.760000], [Loss: 0.042467] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.149309] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 208\n",
      "[Train: ], [208/250: ], [Accuracy: 99.880000], [Loss: 0.043305] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.800000], [Loss: 0.151965] [Correct: 0.486000]\n",
      "\n",
      "Epoch: 209\n",
      "[Train: ], [209/250: ], [Accuracy: 99.800000], [Loss: 0.042505] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.151773] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 210\n",
      "[Train: ], [210/250: ], [Accuracy: 99.960000], [Loss: 0.041052] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.000000], [Loss: 0.153293] [Correct: 0.488000]\n",
      "\n",
      "Epoch: 211\n",
      "[Train: ], [211/250: ], [Accuracy: 99.800000], [Loss: 0.043852] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.800000], [Loss: 0.150870] [Correct: 0.496000]\n",
      "\n",
      "Epoch: 212\n",
      "[Train: ], [212/250: ], [Accuracy: 99.920000], [Loss: 0.043772] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.150570] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 213\n",
      "[Train: ], [213/250: ], [Accuracy: 99.880000], [Loss: 0.041248] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.400000], [Loss: 0.155964] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 214\n",
      "[Train: ], [214/250: ], [Accuracy: 99.760000], [Loss: 0.044551] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.200000], [Loss: 0.150878] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 215\n",
      "[Train: ], [215/250: ], [Accuracy: 99.840000], [Loss: 0.045286] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.154265] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 216\n",
      "[Train: ], [216/250: ], [Accuracy: 99.760000], [Loss: 0.044140] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.200000], [Loss: 0.149544] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 217\n",
      "[Train: ], [217/250: ], [Accuracy: 99.880000], [Loss: 0.042918] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.154604] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 218\n",
      "[Train: ], [218/250: ], [Accuracy: 99.880000], [Loss: 0.041686] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.125597] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 99.880000], [Loss: 0.043216] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.128030] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 99.880000], [Loss: 0.042326] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 49.600000], [Loss: 0.145855] [Correct: 0.504000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 221\n",
      "[Train: ], [221/250: ], [Accuracy: 99.880000], [Loss: 0.040611] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.150409] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 99.960000], [Loss: 0.038930] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.151533] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.800000], [Loss: 0.042584] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.200000], [Loss: 0.146241] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 99.880000], [Loss: 0.041272] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.149229] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 225\n",
      "[Train: ], [225/250: ], [Accuracy: 100.000000], [Loss: 0.040268] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.150578] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 226\n",
      "[Train: ], [226/250: ], [Accuracy: 99.840000], [Loss: 0.043883] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 48.400000], [Loss: 0.123139] [Correct: 0.490000]\n",
      "\n",
      "Epoch: 227\n",
      "[Train: ], [227/250: ], [Accuracy: 99.920000], [Loss: 0.040934] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.151636] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 228\n",
      "[Train: ], [228/250: ], [Accuracy: 99.760000], [Loss: 0.043509] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.153930] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 229\n",
      "[Train: ], [229/250: ], [Accuracy: 99.720000], [Loss: 0.044321] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.149880] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 230\n",
      "[Train: ], [230/250: ], [Accuracy: 99.920000], [Loss: 0.042297] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.156167] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 99.960000], [Loss: 0.040697] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.151704] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 232\n",
      "[Train: ], [232/250: ], [Accuracy: 99.920000], [Loss: 0.040685] [LossS: 0.000000] [Lr: 0.000010]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 47.600000], [Loss: 0.153228] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 99.880000], [Loss: 0.040854] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.150192] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.760000], [Loss: 0.047384] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.151465] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 99.960000], [Loss: 0.043582] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.157507] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.840000], [Loss: 0.043507] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.149467] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.920000], [Loss: 0.041382] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.156032] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 99.800000], [Loss: 0.043819] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.400000], [Loss: 0.153369] [Correct: 0.482000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 99.840000], [Loss: 0.039999] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.125290] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.840000], [Loss: 0.045681] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.154237] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 241\n",
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      "[Test Accuracy: 47.200000], [Loss: 0.149175] [Correct: 0.480000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.880000], [Loss: 0.042150] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.128946] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 243\n",
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      "[Test Accuracy: 46.400000], [Loss: 0.151934] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.920000], [Loss: 0.040746] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.000000], [Loss: 0.151177] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.880000], [Loss: 0.042127] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.154775] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 99.800000], [Loss: 0.042417] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.156163] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.800000], [Loss: 0.043011] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.153798] [Correct: 0.484000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.640000], [Loss: 0.046756] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.150587] [Correct: 0.476000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.920000], [Loss: 0.043487] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.149858] [Correct: 0.484000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task10.pth\n",
      "Task: 10  Test_accuracy: 49.6\n",
      "Training Task :---11\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task10.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 50.920000], [Loss: 1.874477] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.600000], [Loss: 4.196101] [Correct: 0.038000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 68.880000], [Loss: 0.923633] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.400000], [Loss: 5.479186] [Correct: 0.012000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 76.160000], [Loss: 0.723665] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.400000], [Loss: 0.005343] [Correct: 0.004000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 80.960000], [Loss: 0.607571] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 1.400000], [Loss: 0.010864] [Correct: 0.014000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 82.640000], [Loss: 0.545715] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.000000], [Loss: 0.008894] [Correct: 0.040000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 84.960000], [Loss: 0.485623] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.800000], [Loss: 0.254888] [Correct: 0.102000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 85.440000], [Loss: 0.461680] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.600000], [Loss: 0.011092] [Correct: 0.026000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 87.760000], [Loss: 0.398203] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.600000], [Loss: 0.005052] [Correct: 0.066000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 88.360000], [Loss: 0.385700] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.000000], [Loss: 0.459112] [Correct: 0.126000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 88.680000], [Loss: 0.386291] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.600000], [Loss: 0.004555] [Correct: 0.026000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 88.520000], [Loss: 0.365372] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 10.200000], [Loss: 0.594307] [Correct: 0.106000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 89.280000], [Loss: 0.357329] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.200000], [Loss: 0.115661] [Correct: 0.114000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 90.920000], [Loss: 0.331009] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.200000], [Loss: 0.003807] [Correct: 0.112000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 90.840000], [Loss: 0.310495] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 0.330341] [Correct: 0.216000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 92.280000], [Loss: 0.285268] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.800000], [Loss: 0.230168] [Correct: 0.132000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 91.720000], [Loss: 0.286836] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.600000], [Loss: 0.003273] [Correct: 0.146000]\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 91.600000], [Loss: 0.289322] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.200000], [Loss: 0.004464] [Correct: 0.092000]\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 91.880000], [Loss: 0.280725] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.200000], [Loss: 0.002324] [Correct: 0.132000]\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 93.000000], [Loss: 0.263068] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.200000], [Loss: 0.003682] [Correct: 0.112000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 92.920000], [Loss: 0.244420] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.400000], [Loss: 0.003006] [Correct: 0.164000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 91.800000], [Loss: 0.282232] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.800000], [Loss: 0.263475] [Correct: 0.164000]\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 91.800000], [Loss: 0.276813] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.200000], [Loss: 0.147999] [Correct: 0.164000]\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 92.000000], [Loss: 0.265953] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.400000], [Loss: 0.067399] [Correct: 0.206000]\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 92.080000], [Loss: 0.279525] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.600000], [Loss: 0.185886] [Correct: 0.262000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 24\n",
      "[Train: ], [24/250: ], [Accuracy: 91.920000], [Loss: 0.283363] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.200000], [Loss: 0.011562] [Correct: 0.122000]\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 92.760000], [Loss: 0.249612] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 0.148125] [Correct: 0.212000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 93.440000], [Loss: 0.236505] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.400000], [Loss: 0.203669] [Correct: 0.148000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 93.640000], [Loss: 0.233316] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.200000], [Loss: 0.142024] [Correct: 0.226000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 93.000000], [Loss: 0.234363] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.600000], [Loss: 1.105298] [Correct: 0.288000]\n",
      "Saving..\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 93.400000], [Loss: 0.238957] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.800000], [Loss: 0.002763] [Correct: 0.198000]\n",
      "\n",
      "Epoch: 30\n",
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      "[Test Accuracy: 21.400000], [Loss: 0.211178] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 31\n",
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      "[Test Accuracy: 26.400000], [Loss: 0.104954] [Correct: 0.268000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 32\n",
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      "[Test Accuracy: 19.600000], [Loss: 0.143901] [Correct: 0.200000]\n",
      "\n",
      "Epoch: 33\n",
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      "[Test Accuracy: 24.800000], [Loss: 0.085438] [Correct: 0.250000]\n",
      "\n",
      "Epoch: 34\n",
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      "[Test Accuracy: 26.400000], [Loss: 0.185356] [Correct: 0.270000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 35\n",
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      "[Test Accuracy: 20.200000], [Loss: 0.109500] [Correct: 0.204000]\n",
      "\n",
      "Epoch: 36\n",
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      "[Test Accuracy: 23.400000], [Loss: 0.166590] [Correct: 0.238000]\n",
      "\n",
      "Epoch: 37\n",
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      "[Test Accuracy: 31.000000], [Loss: 0.217106] [Correct: 0.318000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 38\n",
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      "[Test Accuracy: 27.800000], [Loss: 0.114044] [Correct: 0.282000]\n",
      "\n",
      "Epoch: 39\n",
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      "[Test Accuracy: 34.600000], [Loss: 0.264245] [Correct: 0.354000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 40\n",
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      "[Test Accuracy: 31.000000], [Loss: 0.165096] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 41\n",
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      "[Test Accuracy: 21.400000], [Loss: 0.065861] [Correct: 0.216000]\n",
      "\n",
      "Epoch: 42\n",
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      "[Test Accuracy: 26.000000], [Loss: 0.309598] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 43\n",
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      "[Test Accuracy: 20.800000], [Loss: 0.079952] [Correct: 0.210000]\n",
      "\n",
      "Epoch: 44\n",
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      "[Test Accuracy: 33.800000], [Loss: 0.142653] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 45\n",
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      "[Test Accuracy: 27.000000], [Loss: 0.246397] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 46\n",
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      "[Test Accuracy: 38.800000], [Loss: 0.129660] [Correct: 0.394000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 47\n",
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      "[Test Accuracy: 28.600000], [Loss: 0.351806] [Correct: 0.298000]\n",
      "\n",
      "Epoch: 48\n",
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      "[Test Accuracy: 31.400000], [Loss: 0.561206] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 49\n",
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      "[Test Accuracy: 22.000000], [Loss: 0.797022] [Correct: 0.238000]\n",
      "\n",
      "Epoch: 50\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.166308] [Correct: 0.338000]\n",
      "\n",
      "Epoch: 51\n",
      "[Train: ], [51/250: ], [Accuracy: 95.120000], [Loss: 0.189329] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.400000], [Loss: 0.395477] [Correct: 0.318000]\n",
      "\n",
      "Epoch: 52\n",
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      "[Test Accuracy: 22.400000], [Loss: 0.056796] [Correct: 0.226000]\n",
      "\n",
      "Epoch: 53\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.457377] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 54\n",
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      "[Test Accuracy: 23.400000], [Loss: 0.143026] [Correct: 0.238000]\n",
      "\n",
      "Epoch: 55\n",
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      "[Test Accuracy: 32.200000], [Loss: 0.084763] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 56\n",
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      "[Test Accuracy: 25.200000], [Loss: 0.054708] [Correct: 0.254000]\n",
      "\n",
      "Epoch: 57\n",
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      "[Test Accuracy: 32.600000], [Loss: 0.050427] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 58\n",
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      "[Test Accuracy: 29.600000], [Loss: 0.123031] [Correct: 0.300000]\n",
      "\n",
      "Epoch: 59\n",
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      "[Test Accuracy: 25.400000], [Loss: 0.286769] [Correct: 0.262000]\n",
      "\n",
      "Epoch: 60\n",
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      "[Test Accuracy: 31.000000], [Loss: 0.051548] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 61\n",
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      "\n",
      "Epoch: 62\n",
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      "[Test Accuracy: 32.200000], [Loss: 0.096540] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 63\n",
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      "\n",
      "Epoch: 64\n",
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      "\n",
      "Epoch: 65\n",
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      "\n",
      "Epoch: 66\n",
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      "\n",
      "Epoch: 67\n",
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      "\n",
      "Epoch: 68\n",
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      "[Test Accuracy: 22.800000], [Loss: 0.536338] [Correct: 0.244000]\n",
      "\n",
      "Epoch: 69\n",
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      "\n",
      "Epoch: 70\n",
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      "[Test Accuracy: 38.400000], [Loss: 0.198476] [Correct: 0.392000]\n",
      "\n",
      "Epoch: 71\n",
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      "[Test Accuracy: 27.800000], [Loss: 0.408242] [Correct: 0.290000]\n",
      "\n",
      "Epoch: 72\n",
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      "[Test Accuracy: 30.200000], [Loss: 0.506665] [Correct: 0.318000]\n",
      "\n",
      "Epoch: 73\n",
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      "[Test Accuracy: 33.000000], [Loss: 0.391691] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 74\n",
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      "[Test Accuracy: 38.600000], [Loss: 0.123181] [Correct: 0.392000]\n",
      "\n",
      "Epoch: 75\n",
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      "[Test Accuracy: 35.200000], [Loss: 0.154200] [Correct: 0.358000]\n",
      "\n",
      "Epoch: 76\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 14.600000], [Loss: 0.110215] [Correct: 0.148000]\n",
      "\n",
      "Epoch: 77\n",
      "[Train: ], [77/250: ], [Accuracy: 96.040000], [Loss: 0.156673] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 35.800000], [Loss: 0.352085] [Correct: 0.370000]\n",
      "\n",
      "Epoch: 78\n",
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      "[Test Accuracy: 36.600000], [Loss: 0.078565] [Correct: 0.370000]\n",
      "\n",
      "Epoch: 79\n",
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      "[Test Accuracy: 35.200000], [Loss: 0.102006] [Correct: 0.356000]\n",
      "\n",
      "Epoch: 80\n",
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      "[Test Accuracy: 41.600000], [Loss: 0.118200] [Correct: 0.422000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 81\n",
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      "\n",
      "Epoch: 82\n",
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      "[Test Accuracy: 32.400000], [Loss: 0.310909] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 83\n",
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      "[Test Accuracy: 34.800000], [Loss: 0.148419] [Correct: 0.354000]\n",
      "\n",
      "Epoch: 84\n",
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      "[Test Accuracy: 29.400000], [Loss: 0.253038] [Correct: 0.302000]\n",
      "\n",
      "Epoch: 85\n",
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      "[Test Accuracy: 33.400000], [Loss: 0.002081] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 86\n",
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      "\n",
      "Epoch: 87\n",
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      "Saving..\n",
      "\n",
      "Epoch: 88\n",
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      "\n",
      "Epoch: 89\n",
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      "\n",
      "Epoch: 90\n",
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      "\n",
      "Epoch: 91\n",
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      "[Test Accuracy: 32.000000], [Loss: 0.307867] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 92\n",
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      "\n",
      "Epoch: 93\n",
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      "[Test Accuracy: 43.000000], [Loss: 0.524180] [Correct: 0.452000]\n",
      "\n",
      "Epoch: 94\n",
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      "\n",
      "Epoch: 95\n",
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      "\n",
      "Epoch: 96\n",
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      "\n",
      "Epoch: 97\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 103\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 109\n",
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      "\n",
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      "\n",
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      "\n",
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     ]
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     "output_type": "stream",
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      "\n",
      "Epoch: 171\n"
     ]
    },
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     "output_type": "stream",
     "text": [
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      "[Test Accuracy: 46.600000], [Loss: 0.046326] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 193\n",
      "[Train: ], [193/250: ], [Accuracy: 99.680000], [Loss: 0.047880] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 45.800000], [Loss: 0.048678] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 194\n",
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      "[Test Accuracy: 46.000000], [Loss: 0.046906] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 195\n",
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      "[Test Accuracy: 45.800000], [Loss: 0.049444] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 196\n",
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      "\n",
      "Epoch: 197\n",
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      "\n",
      "Epoch: 198\n",
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      "[Test Accuracy: 46.000000], [Loss: 0.046885] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 199\n",
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      "[Test Accuracy: 45.000000], [Loss: 0.047991] [Correct: 0.452000]\n",
      "\n",
      "Epoch: 200\n",
      "[Train: ], [200/250: ], [Accuracy: 99.640000], [Loss: 0.046157] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.045484] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 201\n",
      "[Train: ], [201/250: ], [Accuracy: 99.880000], [Loss: 0.040389] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.046010] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 202\n",
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      "[Test Accuracy: 47.000000], [Loss: 0.046153] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 203\n",
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      "\n",
      "Epoch: 204\n",
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      "[Test Accuracy: 46.000000], [Loss: 0.046396] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 205\n",
      "[Train: ], [205/250: ], [Accuracy: 99.760000], [Loss: 0.045519] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.046267] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 206\n",
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      "[Test Accuracy: 46.200000], [Loss: 0.046586] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 207\n",
      "[Train: ], [207/250: ], [Accuracy: 99.680000], [Loss: 0.045634] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.045809] [Correct: 0.478000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 208\n",
      "[Train: ], [208/250: ], [Accuracy: 99.600000], [Loss: 0.047008] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.800000], [Loss: 0.047802] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 209\n",
      "[Train: ], [209/250: ], [Accuracy: 99.720000], [Loss: 0.045483] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.400000], [Loss: 0.047418] [Correct: 0.456000]\n",
      "\n",
      "Epoch: 210\n",
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      "[Test Accuracy: 45.200000], [Loss: 0.046643] [Correct: 0.454000]\n",
      "\n",
      "Epoch: 211\n",
      "[Train: ], [211/250: ], [Accuracy: 99.680000], [Loss: 0.047955] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.400000], [Loss: 0.045743] [Correct: 0.456000]\n",
      "\n",
      "Epoch: 212\n",
      "[Train: ], [212/250: ], [Accuracy: 99.880000], [Loss: 0.043003] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.800000], [Loss: 0.046171] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 213\n",
      "[Train: ], [213/250: ], [Accuracy: 99.840000], [Loss: 0.043767] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.047916] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 214\n",
      "[Train: ], [214/250: ], [Accuracy: 99.720000], [Loss: 0.046317] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.045697] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 215\n",
      "[Train: ], [215/250: ], [Accuracy: 99.640000], [Loss: 0.047837] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.000000], [Loss: 0.046104] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 216\n",
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      "[Test Accuracy: 47.800000], [Loss: 0.044084] [Correct: 0.480000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 217\n",
      "[Train: ], [217/250: ], [Accuracy: 99.640000], [Loss: 0.047034] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.600000], [Loss: 0.046488] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 218\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [218/250: ], [Accuracy: 99.680000], [Loss: 0.045119] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.045959] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 99.680000], [Loss: 0.047249] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.045588] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 99.680000], [Loss: 0.045704] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 44.800000], [Loss: 0.050523] [Correct: 0.450000]\n",
      "\n",
      "Epoch: 221\n",
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      "[Test Accuracy: 45.600000], [Loss: 0.046205] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 99.720000], [Loss: 0.043742] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 45.600000], [Loss: 0.049159] [Correct: 0.458000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.800000], [Loss: 0.043478] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.200000], [Loss: 0.047139] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 99.800000], [Loss: 0.043931] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.200000], [Loss: 0.046050] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 225\n",
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      "\n",
      "Epoch: 226\n",
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      "\n",
      "Epoch: 227\n",
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      "[Test Accuracy: 46.400000], [Loss: 0.047038] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 228\n",
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      "[Test Accuracy: 46.600000], [Loss: 0.047177] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 229\n",
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      "[Test Accuracy: 44.800000], [Loss: 0.048357] [Correct: 0.450000]\n",
      "\n",
      "Epoch: 230\n",
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      "[Test Accuracy: 46.200000], [Loss: 0.046559] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 231\n",
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      "[Test Accuracy: 45.800000], [Loss: 0.047094] [Correct: 0.460000]\n",
      "\n",
      "Epoch: 232\n",
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      "[Test Accuracy: 45.400000], [Loss: 0.046878] [Correct: 0.456000]\n",
      "\n",
      "Epoch: 233\n",
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      "[Test Accuracy: 46.600000], [Loss: 0.046420] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 99.560000], [Loss: 0.047299] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.045410] [Correct: 0.470000]\n",
      "\n",
      "Epoch: 235\n",
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      "[Test Accuracy: 46.400000], [Loss: 0.046771] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.560000], [Loss: 0.050463] [LossS: 0.000000] [Lr: 0.000010]\n",
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      "\n",
      "Epoch: 237\n",
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      "\n",
      "Epoch: 238\n",
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      "[Test Accuracy: 46.000000], [Loss: 0.045281] [Correct: 0.462000]\n",
      "\n",
      "Epoch: 239\n",
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      "[Test Accuracy: 45.400000], [Loss: 0.045851] [Correct: 0.456000]\n",
      "\n",
      "Epoch: 240\n",
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      "[Test Accuracy: 46.200000], [Loss: 0.047716] [Correct: 0.464000]\n",
      "\n",
      "Epoch: 241\n",
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      "[Test Accuracy: 45.200000], [Loss: 0.048938] [Correct: 0.454000]\n",
      "\n",
      "Epoch: 242\n",
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      "\n",
      "Epoch: 243\n",
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      "[Test Accuracy: 45.200000], [Loss: 0.048461] [Correct: 0.454000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.800000], [Loss: 0.045746] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 47.600000], [Loss: 0.046474] [Correct: 0.478000]\n",
      "\n",
      "Epoch: 245\n",
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      "[Test Accuracy: 47.000000], [Loss: 0.045302] [Correct: 0.472000]\n",
      "\n",
      "Epoch: 246\n",
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      "[Test Accuracy: 46.600000], [Loss: 0.046740] [Correct: 0.468000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.640000], [Loss: 0.046688] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.400000], [Loss: 0.046348] [Correct: 0.466000]\n",
      "\n",
      "Epoch: 248\n",
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      "[Test Accuracy: 47.200000], [Loss: 0.045816] [Correct: 0.474000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.480000], [Loss: 0.052055] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 46.800000], [Loss: 0.046873] [Correct: 0.470000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task11.pth\n",
      "Task: 11  Test_accuracy: 47.8\n",
      "Training Task :---12\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task11.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 68.040000], [Loss: 1.166833] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.200000], [Loss: 4.962344] [Correct: 0.164000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 80.560000], [Loss: 0.573408] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.200000], [Loss: 0.639126] [Correct: 0.026000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 81.640000], [Loss: 0.504498] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.200000], [Loss: 0.003061] [Correct: 0.032000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 83.880000], [Loss: 0.443308] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.400000], [Loss: 0.259716] [Correct: 0.086000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 85.640000], [Loss: 0.414763] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.600000], [Loss: 0.002900] [Correct: 0.026000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 87.320000], [Loss: 0.380925] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.000000], [Loss: 0.001661] [Correct: 0.070000]\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 87.480000], [Loss: 0.372404] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.000000], [Loss: 0.002442] [Correct: 0.090000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 88.320000], [Loss: 0.348930] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.400000], [Loss: 0.002124] [Correct: 0.064000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 88.840000], [Loss: 0.324857] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.000000], [Loss: 0.002064] [Correct: 0.110000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 89.000000], [Loss: 0.323084] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.000000], [Loss: 0.001535] [Correct: 0.080000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 90.000000], [Loss: 0.306685] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.200000], [Loss: 0.150842] [Correct: 0.094000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 89.200000], [Loss: 0.318825] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.400000], [Loss: 0.147001] [Correct: 0.116000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 90.040000], [Loss: 0.310191] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.800000], [Loss: 0.638344] [Correct: 0.168000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 91.680000], [Loss: 0.277003] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.400000], [Loss: 0.001594] [Correct: 0.134000]\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 91.280000], [Loss: 0.271742] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 9.400000], [Loss: 0.002640] [Correct: 0.094000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 91.880000], [Loss: 0.259383] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.000000], [Loss: 0.001403] [Correct: 0.120000]\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 91.880000], [Loss: 0.270346] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.600000], [Loss: 0.001486] [Correct: 0.176000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 92.440000], [Loss: 0.246689] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.800000], [Loss: 0.000907] [Correct: 0.238000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 92.520000], [Loss: 0.227911] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.400000], [Loss: 0.218901] [Correct: 0.066000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 92.280000], [Loss: 0.240677] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.200000], [Loss: 0.001825] [Correct: 0.172000]\n",
      "\n",
      "Epoch: 20\n",
      "[Train: ], [20/250: ], [Accuracy: 92.560000], [Loss: 0.240078] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.000000], [Loss: 0.149041] [Correct: 0.214000]\n",
      "\n",
      "Epoch: 21\n",
      "[Train: ], [21/250: ], [Accuracy: 92.040000], [Loss: 0.256731] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.000000], [Loss: 0.315278] [Correct: 0.116000]\n",
      "\n",
      "Epoch: 22\n",
      "[Train: ], [22/250: ], [Accuracy: 93.040000], [Loss: 0.225026] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 34.600000], [Loss: 1.280229] [Correct: 0.392000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 23\n",
      "[Train: ], [23/250: ], [Accuracy: 93.240000], [Loss: 0.225787] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.400000], [Loss: 0.001942] [Correct: 0.114000]\n",
      "\n",
      "Epoch: 24\n",
      "[Train: ], [24/250: ], [Accuracy: 93.800000], [Loss: 0.193949] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.076076] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 25\n",
      "[Train: ], [25/250: ], [Accuracy: 94.080000], [Loss: 0.195432] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.200000], [Loss: 0.176365] [Correct: 0.134000]\n",
      "\n",
      "Epoch: 26\n",
      "[Train: ], [26/250: ], [Accuracy: 94.320000], [Loss: 0.193935] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.400000], [Loss: 0.114699] [Correct: 0.258000]\n",
      "\n",
      "Epoch: 27\n",
      "[Train: ], [27/250: ], [Accuracy: 93.440000], [Loss: 0.203875] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.400000], [Loss: 0.111150] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 28\n",
      "[Train: ], [28/250: ], [Accuracy: 94.120000], [Loss: 0.198114] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.600000], [Loss: 0.263533] [Correct: 0.242000]\n",
      "\n",
      "Epoch: 29\n",
      "[Train: ], [29/250: ], [Accuracy: 94.280000], [Loss: 0.204569] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.000000], [Loss: 0.001716] [Correct: 0.160000]\n",
      "\n",
      "Epoch: 30\n",
      "[Train: ], [30/250: ], [Accuracy: 93.400000], [Loss: 0.220720] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.146836] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 31\n",
      "[Train: ], [31/250: ], [Accuracy: 93.440000], [Loss: 0.210817] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.400000], [Loss: 0.075769] [Correct: 0.136000]\n",
      "\n",
      "Epoch: 32\n",
      "[Train: ], [32/250: ], [Accuracy: 92.600000], [Loss: 0.235107] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.400000], [Loss: 0.055313] [Correct: 0.306000]\n",
      "\n",
      "Epoch: 33\n",
      "[Train: ], [33/250: ], [Accuracy: 94.040000], [Loss: 0.205695] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.000000], [Loss: 0.103589] [Correct: 0.122000]\n",
      "\n",
      "Epoch: 34\n",
      "[Train: ], [34/250: ], [Accuracy: 94.720000], [Loss: 0.186993] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.200000], [Loss: 0.002195] [Correct: 0.192000]\n",
      "\n",
      "Epoch: 35\n",
      "[Train: ], [35/250: ], [Accuracy: 95.400000], [Loss: 0.166457] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.800000], [Loss: 0.066738] [Correct: 0.260000]\n",
      "\n",
      "Epoch: 36\n",
      "[Train: ], [36/250: ], [Accuracy: 94.760000], [Loss: 0.177774] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 31.400000], [Loss: 0.486318] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 37\n",
      "[Train: ], [37/250: ], [Accuracy: 94.680000], [Loss: 0.180372] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.400000], [Loss: 0.101416] [Correct: 0.156000]\n",
      "\n",
      "Epoch: 38\n",
      "[Train: ], [38/250: ], [Accuracy: 94.040000], [Loss: 0.199135] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 13.400000], [Loss: 0.123215] [Correct: 0.136000]\n",
      "\n",
      "Epoch: 39\n",
      "[Train: ], [39/250: ], [Accuracy: 94.480000], [Loss: 0.191365] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.342558] [Correct: 0.282000]\n",
      "\n",
      "Epoch: 40\n",
      "[Train: ], [40/250: ], [Accuracy: 95.000000], [Loss: 0.181858] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.200000], [Loss: 0.001318] [Correct: 0.182000]\n",
      "\n",
      "Epoch: 41\n",
      "[Train: ], [41/250: ], [Accuracy: 94.560000], [Loss: 0.185685] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.800000], [Loss: 0.193609] [Correct: 0.212000]\n",
      "\n",
      "Epoch: 42\n",
      "[Train: ], [42/250: ], [Accuracy: 95.160000], [Loss: 0.176777] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.052623] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 43\n",
      "[Train: ], [43/250: ], [Accuracy: 95.160000], [Loss: 0.183262] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.600000], [Loss: 0.093620] [Correct: 0.158000]\n",
      "\n",
      "Epoch: 44\n",
      "[Train: ], [44/250: ], [Accuracy: 95.560000], [Loss: 0.159585] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.000000], [Loss: 0.001674] [Correct: 0.160000]\n",
      "\n",
      "Epoch: 45\n",
      "[Train: ], [45/250: ], [Accuracy: 95.280000], [Loss: 0.162325] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 16.200000], [Loss: 0.247959] [Correct: 0.166000]\n",
      "\n",
      "Epoch: 46\n",
      "[Train: ], [46/250: ], [Accuracy: 95.720000], [Loss: 0.166287] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.168912] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 47\n",
      "[Train: ], [47/250: ], [Accuracy: 94.680000], [Loss: 0.179774] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.800000], [Loss: 0.001453] [Correct: 0.128000]\n",
      "\n",
      "Epoch: 48\n",
      "[Train: ], [48/250: ], [Accuracy: 95.760000], [Loss: 0.156040] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.200000], [Loss: 0.001697] [Correct: 0.212000]\n",
      "\n",
      "Epoch: 49\n",
      "[Train: ], [49/250: ], [Accuracy: 95.960000], [Loss: 0.163494] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.200000], [Loss: 0.001151] [Correct: 0.302000]\n",
      "\n",
      "Epoch: 50\n",
      "[Train: ], [50/250: ], [Accuracy: 95.960000], [Loss: 0.149356] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.800000], [Loss: 0.067109] [Correct: 0.260000]\n",
      "\n",
      "Epoch: 51\n",
      "[Train: ], [51/250: ], [Accuracy: 95.400000], [Loss: 0.167014] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.400000], [Loss: 0.187034] [Correct: 0.096000]\n",
      "\n",
      "Epoch: 52\n",
      "[Train: ], [52/250: ], [Accuracy: 95.120000], [Loss: 0.166687] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.800000], [Loss: 0.001909] [Correct: 0.188000]\n",
      "\n",
      "Epoch: 53\n",
      "[Train: ], [53/250: ], [Accuracy: 95.360000], [Loss: 0.161517] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.800000], [Loss: 0.001157] [Correct: 0.308000]\n",
      "\n",
      "Epoch: 54\n",
      "[Train: ], [54/250: ], [Accuracy: 95.560000], [Loss: 0.155991] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.400000], [Loss: 0.001791] [Correct: 0.154000]\n",
      "\n",
      "Epoch: 55\n",
      "[Train: ], [55/250: ], [Accuracy: 96.240000], [Loss: 0.143134] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.400000], [Loss: 0.001704] [Correct: 0.284000]\n",
      "\n",
      "Epoch: 56\n",
      "[Train: ], [56/250: ], [Accuracy: 96.400000], [Loss: 0.141225] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.000000], [Loss: 0.001669] [Correct: 0.250000]\n",
      "\n",
      "Epoch: 57\n",
      "[Train: ], [57/250: ], [Accuracy: 96.680000], [Loss: 0.138687] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.400000], [Loss: 0.119375] [Correct: 0.208000]\n",
      "\n",
      "Epoch: 58\n",
      "[Train: ], [58/250: ], [Accuracy: 96.200000], [Loss: 0.139001] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.400000], [Loss: 0.035297] [Correct: 0.286000]\n",
      "\n",
      "Epoch: 59\n",
      "[Train: ], [59/250: ], [Accuracy: 95.880000], [Loss: 0.148825] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.800000], [Loss: 0.061027] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 60\n",
      "[Train: ], [60/250: ], [Accuracy: 96.680000], [Loss: 0.131504] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.600000], [Loss: 0.119412] [Correct: 0.208000]\n",
      "\n",
      "Epoch: 61\n",
      "[Train: ], [61/250: ], [Accuracy: 96.400000], [Loss: 0.146178] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.600000], [Loss: 0.219714] [Correct: 0.262000]\n",
      "\n",
      "Epoch: 62\n",
      "[Train: ], [62/250: ], [Accuracy: 95.560000], [Loss: 0.166701] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 25.800000], [Loss: 0.343294] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 63\n",
      "[Train: ], [63/250: ], [Accuracy: 94.360000], [Loss: 0.194939] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.000000], [Loss: 0.000913] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 64\n",
      "[Train: ], [64/250: ], [Accuracy: 95.480000], [Loss: 0.167131] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.400000], [Loss: 0.000438] [Correct: 0.254000]\n",
      "\n",
      "Epoch: 65\n",
      "[Train: ], [65/250: ], [Accuracy: 96.480000], [Loss: 0.139192] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.002242] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 66\n",
      "[Train: ], [66/250: ], [Accuracy: 97.280000], [Loss: 0.122025] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.800000], [Loss: 0.331476] [Correct: 0.226000]\n",
      "\n",
      "Epoch: 67\n",
      "[Train: ], [67/250: ], [Accuracy: 96.320000], [Loss: 0.134357] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 21.800000], [Loss: 0.073021] [Correct: 0.220000]\n",
      "\n",
      "Epoch: 68\n",
      "[Train: ], [68/250: ], [Accuracy: 96.560000], [Loss: 0.123884] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 24.000000], [Loss: 0.046091] [Correct: 0.242000]\n",
      "\n",
      "Epoch: 69\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.109355] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 70\n",
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      "[Test Accuracy: 19.400000], [Loss: 0.001799] [Correct: 0.194000]\n",
      "\n",
      "Epoch: 71\n",
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      "[Test Accuracy: 24.400000], [Loss: 0.083521] [Correct: 0.246000]\n",
      "\n",
      "Epoch: 72\n",
      "[Train: ], [72/250: ], [Accuracy: 96.360000], [Loss: 0.141626] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.400000], [Loss: 0.130722] [Correct: 0.288000]\n",
      "\n",
      "Epoch: 73\n",
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      "[Test Accuracy: 19.800000], [Loss: 0.064948] [Correct: 0.200000]\n",
      "\n",
      "Epoch: 74\n",
      "[Train: ], [74/250: ], [Accuracy: 96.400000], [Loss: 0.134411] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.800000], [Loss: 0.219976] [Correct: 0.306000]\n",
      "\n",
      "Epoch: 75\n",
      "[Train: ], [75/250: ], [Accuracy: 96.240000], [Loss: 0.128359] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 30.800000], [Loss: 0.001242] [Correct: 0.308000]\n",
      "\n",
      "Epoch: 76\n",
      "[Train: ], [76/250: ], [Accuracy: 95.880000], [Loss: 0.145873] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 25.200000], [Loss: 0.001602] [Correct: 0.252000]\n",
      "\n",
      "Epoch: 77\n",
      "[Train: ], [77/250: ], [Accuracy: 95.800000], [Loss: 0.156372] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.001343] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 78\n",
      "[Train: ], [78/250: ], [Accuracy: 96.800000], [Loss: 0.135800] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.600000], [Loss: 0.040191] [Correct: 0.298000]\n",
      "\n",
      "Epoch: 79\n",
      "[Train: ], [79/250: ], [Accuracy: 96.840000], [Loss: 0.128840] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 33.400000], [Loss: 0.094381] [Correct: 0.338000]\n",
      "\n",
      "Epoch: 80\n",
      "[Train: ], [80/250: ], [Accuracy: 96.920000], [Loss: 0.127370] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.000000], [Loss: 0.001351] [Correct: 0.280000]\n",
      "\n",
      "Epoch: 81\n",
      "[Train: ], [81/250: ], [Accuracy: 96.960000], [Loss: 0.129056] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.800000], [Loss: 1.239985] [Correct: 0.212000]\n",
      "\n",
      "Epoch: 82\n",
      "[Train: ], [82/250: ], [Accuracy: 95.360000], [Loss: 0.159617] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.118716] [Correct: 0.314000]\n",
      "\n",
      "Epoch: 83\n",
      "[Train: ], [83/250: ], [Accuracy: 96.440000], [Loss: 0.143528] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.200000], [Loss: 0.041159] [Correct: 0.234000]\n",
      "\n",
      "Epoch: 84\n",
      "[Train: ], [84/250: ], [Accuracy: 97.160000], [Loss: 0.130758] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.000000], [Loss: 0.253259] [Correct: 0.236000]\n",
      "\n",
      "Epoch: 85\n",
      "[Train: ], [85/250: ], [Accuracy: 97.040000], [Loss: 0.121405] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.000000], [Loss: 0.198741] [Correct: 0.184000]\n",
      "\n",
      "Epoch: 86\n",
      "[Train: ], [86/250: ], [Accuracy: 96.760000], [Loss: 0.128376] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 22.000000], [Loss: 0.122676] [Correct: 0.222000]\n",
      "\n",
      "Epoch: 87\n",
      "[Train: ], [87/250: ], [Accuracy: 96.880000], [Loss: 0.126061] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.200000], [Loss: 0.040283] [Correct: 0.284000]\n",
      "\n",
      "Epoch: 88\n",
      "[Train: ], [88/250: ], [Accuracy: 96.720000], [Loss: 0.125613] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 23.800000], [Loss: 0.076745] [Correct: 0.240000]\n",
      "\n",
      "Epoch: 89\n",
      "[Train: ], [89/250: ], [Accuracy: 96.240000], [Loss: 0.143364] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 19.200000], [Loss: 0.001110] [Correct: 0.192000]\n",
      "\n",
      "Epoch: 90\n",
      "[Train: ], [90/250: ], [Accuracy: 96.640000], [Loss: 0.131592] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.200000], [Loss: 0.141425] [Correct: 0.176000]\n",
      "\n",
      "Epoch: 91\n",
      "[Train: ], [91/250: ], [Accuracy: 95.440000], [Loss: 0.155662] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 17.800000], [Loss: 0.002089] [Correct: 0.178000]\n",
      "\n",
      "Epoch: 92\n",
      "[Train: ], [92/250: ], [Accuracy: 96.320000], [Loss: 0.139165] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 28.400000], [Loss: 0.001274] [Correct: 0.284000]\n",
      "\n",
      "Epoch: 93\n",
      "[Train: ], [93/250: ], [Accuracy: 96.960000], [Loss: 0.122682] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 26.400000], [Loss: 0.434627] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 94\n",
      "[Train: ], [94/250: ], [Accuracy: 97.120000], [Loss: 0.120001] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 32.000000], [Loss: 0.099202] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 95\n",
      "[Train: ], [95/250: ], [Accuracy: 97.240000], [Loss: 0.105945] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 35.600000], [Loss: 0.052946] [Correct: 0.358000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 96\n",
      "[Train: ], [96/250: ], [Accuracy: 96.840000], [Loss: 0.122749] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 35.800000], [Loss: 0.225442] [Correct: 0.366000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 97\n",
      "[Train: ], [97/250: ], [Accuracy: 96.040000], [Loss: 0.138680] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.000000], [Loss: 0.201457] [Correct: 0.186000]\n",
      "\n",
      "Epoch: 98\n",
      "[Train: ], [98/250: ], [Accuracy: 97.280000], [Loss: 0.113526] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 20.200000], [Loss: 0.001982] [Correct: 0.202000]\n",
      "\n",
      "Epoch: 99\n",
      "[Train: ], [99/250: ], [Accuracy: 96.480000], [Loss: 0.127634] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 29.000000], [Loss: 0.001061] [Correct: 0.290000]\n",
      "\n",
      "Epoch: 100\n",
      "[Train: ], [100/250: ], [Accuracy: 98.080000], [Loss: 0.092121] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 29.000000], [Loss: 0.001419] [Correct: 0.290000]\n",
      "\n",
      "Epoch: 101\n",
      "[Train: ], [101/250: ], [Accuracy: 98.840000], [Loss: 0.077531] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.001287] [Correct: 0.310000]\n",
      "\n",
      "Epoch: 102\n",
      "[Train: ], [102/250: ], [Accuracy: 99.000000], [Loss: 0.070698] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 30.800000], [Loss: 0.001523] [Correct: 0.308000]\n",
      "\n",
      "Epoch: 103\n",
      "[Train: ], [103/250: ], [Accuracy: 98.640000], [Loss: 0.073249] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.400000], [Loss: 0.001392] [Correct: 0.314000]\n",
      "\n",
      "Epoch: 104\n",
      "[Train: ], [104/250: ], [Accuracy: 99.000000], [Loss: 0.067597] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 30.600000], [Loss: 0.001651] [Correct: 0.306000]\n",
      "\n",
      "Epoch: 105\n",
      "[Train: ], [105/250: ], [Accuracy: 99.400000], [Loss: 0.062257] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.001246] [Correct: 0.310000]\n",
      "\n",
      "Epoch: 106\n",
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      "\n",
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      "\n",
      "Epoch: 109\n",
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      "\n",
      "Epoch: 110\n"
     ]
    },
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     "output_type": "stream",
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      "[Train: ], [110/250: ], [Accuracy: 99.400000], [Loss: 0.062103] [LossS: 0.000000] [Lr: 0.001000]\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 32.600000], [Loss: 0.001672] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 158\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 189\n",
      "[Train: ], [189/250: ], [Accuracy: 99.680000], [Loss: 0.043416] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 31.200000], [Loss: 0.001401] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 190\n",
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      "[Test Accuracy: 32.200000], [Loss: 0.001502] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 191\n",
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      "[Test Accuracy: 32.200000], [Loss: 0.001584] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 192\n",
      "[Train: ], [192/250: ], [Accuracy: 99.720000], [Loss: 0.045605] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.001491] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 193\n",
      "[Train: ], [193/250: ], [Accuracy: 99.760000], [Loss: 0.044083] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 31.800000], [Loss: 0.001490] [Correct: 0.318000]\n",
      "\n",
      "Epoch: 194\n",
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      "[Test Accuracy: 33.000000], [Loss: 0.001575] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 195\n",
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      "[Test Accuracy: 33.000000], [Loss: 0.001437] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 196\n",
      "[Train: ], [196/250: ], [Accuracy: 99.680000], [Loss: 0.044655] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 32.400000], [Loss: 0.001402] [Correct: 0.324000]\n",
      "\n",
      "Epoch: 197\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.001517] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 198\n",
      "[Train: ], [198/250: ], [Accuracy: 99.680000], [Loss: 0.048445] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.001537] [Correct: 0.310000]\n",
      "\n",
      "Epoch: 199\n",
      "[Train: ], [199/250: ], [Accuracy: 99.800000], [Loss: 0.042400] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 31.400000], [Loss: 0.001411] [Correct: 0.314000]\n",
      "\n",
      "Epoch: 200\n",
      "[Train: ], [200/250: ], [Accuracy: 99.680000], [Loss: 0.044141] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.001399] [Correct: 0.310000]\n",
      "\n",
      "Epoch: 201\n",
      "[Train: ], [201/250: ], [Accuracy: 99.760000], [Loss: 0.046191] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.800000], [Loss: 0.001464] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 202\n",
      "[Train: ], [202/250: ], [Accuracy: 99.640000], [Loss: 0.046111] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.000000], [Loss: 0.001583] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 203\n",
      "[Train: ], [203/250: ], [Accuracy: 99.680000], [Loss: 0.043964] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.000000], [Loss: 0.001547] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 204\n",
      "[Train: ], [204/250: ], [Accuracy: 99.560000], [Loss: 0.047161] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.400000], [Loss: 0.001465] [Correct: 0.324000]\n",
      "\n",
      "Epoch: 205\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [205/250: ], [Accuracy: 99.640000], [Loss: 0.046929] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.000000], [Loss: 0.001392] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 206\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.001533] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 207\n",
      "[Train: ], [207/250: ], [Accuracy: 99.800000], [Loss: 0.044441] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.400000], [Loss: 0.001547] [Correct: 0.324000]\n",
      "\n",
      "Epoch: 208\n",
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      "[Test Accuracy: 32.600000], [Loss: 0.001412] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 209\n",
      "[Train: ], [209/250: ], [Accuracy: 99.560000], [Loss: 0.046939] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.600000], [Loss: 0.001565] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 210\n",
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      "[Test Accuracy: 33.000000], [Loss: 0.001511] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 211\n",
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      "\n",
      "Epoch: 212\n",
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      "[Test Accuracy: 31.200000], [Loss: 0.001558] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 213\n",
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      "\n",
      "Epoch: 214\n",
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      "\n",
      "Epoch: 215\n",
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      "\n",
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      "\n",
      "Epoch: 217\n",
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      "\n",
      "Epoch: 218\n",
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      "\n",
      "Epoch: 219\n",
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      "\n",
      "Epoch: 220\n",
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      "[Test Accuracy: 32.200000], [Loss: 0.001389] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 221\n",
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      "[Test Accuracy: 32.800000], [Loss: 0.001520] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 222\n",
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      "[Test Accuracy: 31.600000], [Loss: 0.001472] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 223\n",
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      "\n",
      "Epoch: 224\n",
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      "[Test Accuracy: 33.400000], [Loss: 0.001560] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 225\n",
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      "[Test Accuracy: 32.600000], [Loss: 0.001511] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 226\n",
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      "\n",
      "Epoch: 227\n",
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      "\n",
      "Epoch: 228\n",
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      "\n",
      "Epoch: 229\n",
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      "[Test Accuracy: 31.800000], [Loss: 0.001513] [Correct: 0.318000]\n",
      "\n",
      "Epoch: 230\n",
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      "[Test Accuracy: 32.200000], [Loss: 0.001439] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 231\n",
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      "[Test Accuracy: 32.000000], [Loss: 0.001431] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 232\n",
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      "\n",
      "Epoch: 233\n",
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      "[Test Accuracy: 31.400000], [Loss: 0.001470] [Correct: 0.314000]\n",
      "\n",
      "Epoch: 234\n",
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      "\n",
      "Epoch: 235\n",
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      "\n",
      "Epoch: 236\n",
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      "\n",
      "Epoch: 237\n",
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      "[Test Accuracy: 32.600000], [Loss: 0.001440] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 238\n",
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      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 99.880000], [Loss: 0.043462] [LossS: 0.000000] [Lr: 0.000010]\n",
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      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.640000], [Loss: 0.045838] [LossS: 0.000000] [Lr: 0.000010]\n",
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      "\n",
      "Epoch: 241\n",
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      "\n",
      "Epoch: 242\n",
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      "\n",
      "Epoch: 243\n",
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      "[Test Accuracy: 31.200000], [Loss: 0.001440] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.680000], [Loss: 0.046883] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.001500] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.640000], [Loss: 0.046826] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.600000], [Loss: 0.001419] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 99.720000], [Loss: 0.046652] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.800000], [Loss: 0.001470] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.760000], [Loss: 0.044337] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.800000], [Loss: 0.001491] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.720000], [Loss: 0.041428] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 32.400000], [Loss: 0.001497] [Correct: 0.324000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.560000], [Loss: 0.046012] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.001525] [Correct: 0.316000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task12.pth\n",
      "Task: 12  Test_accuracy: 35.8\n",
      "Training Task :---13\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task12.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 56.160000], [Loss: 1.684828] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.000000], [Loss: 7.385119] [Correct: 0.044000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 72.560000], [Loss: 0.816744] [LossS: 0.000000] [Lr: 0.010000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 6.800000], [Loss: 0.002330] [Correct: 0.068000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 76.760000], [Loss: 0.686232] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.000000], [Loss: 0.000886] [Correct: 0.030000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 78.600000], [Loss: 0.637902] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.400000], [Loss: 0.003029] [Correct: 0.034000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 80.560000], [Loss: 0.584218] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.000000], [Loss: 0.004269] [Correct: 0.050000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 82.520000], [Loss: 0.542030] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.800000], [Loss: 0.003248] [Correct: 0.048000]\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 82.160000], [Loss: 0.533360] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.000000], [Loss: 0.002476] [Correct: 0.090000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 84.280000], [Loss: 0.494189] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.800000], [Loss: 0.002763] [Correct: 0.048000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 84.040000], [Loss: 0.482922] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.000000], [Loss: 0.003016] [Correct: 0.050000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 84.720000], [Loss: 0.483044] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 11.000000], [Loss: 0.157332] [Correct: 0.112000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 84.840000], [Loss: 0.464850] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.600000], [Loss: 0.001209] [Correct: 0.126000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 84.760000], [Loss: 0.462031] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.600000], [Loss: 0.267115] [Correct: 0.068000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 86.040000], [Loss: 0.461339] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.000000], [Loss: 0.002136] [Correct: 0.080000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 86.960000], [Loss: 0.420693] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 15.200000], [Loss: 0.118303] [Correct: 0.154000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 85.920000], [Loss: 0.431855] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.200000], [Loss: 0.001156] [Correct: 0.142000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 87.440000], [Loss: 0.395092] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.400000], [Loss: 0.001909] [Correct: 0.084000]\n",
      "\n",
      "Epoch: 16\n",
      "[Train: ], [16/250: ], [Accuracy: 88.720000], [Loss: 0.368364] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 9.400000], [Loss: 0.001641] [Correct: 0.094000]\n",
      "\n",
      "Epoch: 17\n",
      "[Train: ], [17/250: ], [Accuracy: 87.040000], [Loss: 0.392346] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 18.600000], [Loss: 0.101864] [Correct: 0.188000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 18\n",
      "[Train: ], [18/250: ], [Accuracy: 88.240000], [Loss: 0.394709] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.400000], [Loss: 0.002082] [Correct: 0.144000]\n",
      "\n",
      "Epoch: 19\n",
      "[Train: ], [19/250: ], [Accuracy: 87.560000], [Loss: 0.383623] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.400000], [Loss: 0.001798] [Correct: 0.144000]\n",
      "\n",
      "Epoch: 20\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 48\n",
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      "Saving..\n"
     ]
    },
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     "output_type": "stream",
     "text": [
      "\n",
      "Epoch: 49\n",
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     ]
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 22.400000], [Loss: 0.072319] [Correct: 0.226000]\n",
      "\n",
      "Epoch: 97\n",
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      "\n",
      "Epoch: 102\n",
      "[Train: ], [102/250: ], [Accuracy: 97.880000], [Loss: 0.112918] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.000987] [Correct: 0.310000]\n",
      "\n",
      "Epoch: 103\n",
      "[Train: ], [103/250: ], [Accuracy: 98.360000], [Loss: 0.091960] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 29.600000], [Loss: 0.001046] [Correct: 0.296000]\n",
      "\n",
      "Epoch: 104\n",
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      "[Test Accuracy: 30.800000], [Loss: 0.000953] [Correct: 0.308000]\n",
      "\n",
      "Epoch: 105\n",
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      "[Test Accuracy: 31.800000], [Loss: 0.001121] [Correct: 0.318000]\n",
      "\n",
      "Epoch: 106\n",
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      "[Test Accuracy: 30.200000], [Loss: 0.000978] [Correct: 0.302000]\n",
      "\n",
      "Epoch: 107\n",
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      "[Test Accuracy: 30.400000], [Loss: 0.001055] [Correct: 0.304000]\n",
      "\n",
      "Epoch: 108\n",
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      "[Test Accuracy: 31.200000], [Loss: 0.000992] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 109\n",
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      "[Test Accuracy: 31.400000], [Loss: 0.000983] [Correct: 0.314000]\n",
      "\n",
      "Epoch: 110\n",
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      "[Test Accuracy: 30.800000], [Loss: 0.001061] [Correct: 0.308000]\n",
      "\n",
      "Epoch: 111\n",
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      "[Test Accuracy: 32.000000], [Loss: 0.000978] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 112\n",
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      "[Test Accuracy: 32.800000], [Loss: 0.001015] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 113\n",
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      "[Test Accuracy: 32.000000], [Loss: 0.001111] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 114\n",
      "[Train: ], [114/250: ], [Accuracy: 99.040000], [Loss: 0.072189] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.001154] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 115\n",
      "[Train: ], [115/250: ], [Accuracy: 98.640000], [Loss: 0.076876] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.000000], [Loss: 0.001105] [Correct: 0.310000]\n",
      "\n",
      "Epoch: 116\n",
      "[Train: ], [116/250: ], [Accuracy: 99.000000], [Loss: 0.073100] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 32.400000], [Loss: 0.001002] [Correct: 0.324000]\n",
      "\n",
      "Epoch: 117\n",
      "[Train: ], [117/250: ], [Accuracy: 99.120000], [Loss: 0.070368] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 32.000000], [Loss: 0.000947] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 118\n",
      "[Train: ], [118/250: ], [Accuracy: 99.200000], [Loss: 0.069734] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.600000], [Loss: 0.001193] [Correct: 0.316000]\n",
      "\n",
      "Epoch: 119\n",
      "[Train: ], [119/250: ], [Accuracy: 99.400000], [Loss: 0.062312] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 31.200000], [Loss: 0.001005] [Correct: 0.312000]\n",
      "\n",
      "Epoch: 120\n",
      "[Train: ], [120/250: ], [Accuracy: 98.840000], [Loss: 0.076212] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 32.600000], [Loss: 0.000994] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 121\n",
      "[Train: ], [121/250: ], [Accuracy: 99.080000], [Loss: 0.066338] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 32.600000], [Loss: 0.001117] [Correct: 0.326000]\n",
      "\n",
      "Epoch: 122\n",
      "[Train: ], [122/250: ], [Accuracy: 99.160000], [Loss: 0.068471] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.000000], [Loss: 0.034574] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 123\n",
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      "[Test Accuracy: 32.000000], [Loss: 0.000969] [Correct: 0.320000]\n",
      "\n",
      "Epoch: 124\n",
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      "[Test Accuracy: 33.400000], [Loss: 0.000937] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 125\n",
      "[Train: ], [125/250: ], [Accuracy: 99.240000], [Loss: 0.062681] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 32.400000], [Loss: 0.093347] [Correct: 0.328000]\n",
      "\n",
      "Epoch: 126\n",
      "[Train: ], [126/250: ], [Accuracy: 99.200000], [Loss: 0.063142] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.057547] [Correct: 0.338000]\n",
      "\n",
      "Epoch: 127\n",
      "[Train: ], [127/250: ], [Accuracy: 99.240000], [Loss: 0.062265] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.400000], [Loss: 0.000945] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 128\n",
      "[Train: ], [128/250: ], [Accuracy: 99.080000], [Loss: 0.067042] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.200000], [Loss: 0.001013] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 129\n",
      "[Train: ], [129/250: ], [Accuracy: 99.080000], [Loss: 0.062622] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.000000], [Loss: 0.036260] [Correct: 0.332000]\n",
      "\n",
      "Epoch: 130\n",
      "[Train: ], [130/250: ], [Accuracy: 99.200000], [Loss: 0.059198] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 32.000000], [Loss: 0.032178] [Correct: 0.322000]\n",
      "\n",
      "Epoch: 131\n",
      "[Train: ], [131/250: ], [Accuracy: 99.440000], [Loss: 0.060530] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.000000], [Loss: 0.001018] [Correct: 0.330000]\n",
      "\n",
      "Epoch: 132\n",
      "[Train: ], [132/250: ], [Accuracy: 99.040000], [Loss: 0.060878] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 35.000000], [Loss: 0.036916] [Correct: 0.352000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 133\n",
      "[Train: ], [133/250: ], [Accuracy: 98.920000], [Loss: 0.069230] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 34.200000], [Loss: 0.001093] [Correct: 0.342000]\n",
      "\n",
      "Epoch: 134\n",
      "[Train: ], [134/250: ], [Accuracy: 99.320000], [Loss: 0.062660] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 34.400000], [Loss: 0.001035] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 135\n",
      "[Train: ], [135/250: ], [Accuracy: 99.120000], [Loss: 0.062269] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 35.200000], [Loss: 0.001022] [Correct: 0.352000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 136\n",
      "[Train: ], [136/250: ], [Accuracy: 99.560000], [Loss: 0.057869] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.400000], [Loss: 0.001120] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 137\n",
      "[Train: ], [137/250: ], [Accuracy: 99.440000], [Loss: 0.060396] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 34.200000], [Loss: 0.001144] [Correct: 0.342000]\n",
      "\n",
      "Epoch: 138\n",
      "[Train: ], [138/250: ], [Accuracy: 99.400000], [Loss: 0.060671] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 35.000000], [Loss: 0.096121] [Correct: 0.354000]\n",
      "\n",
      "Epoch: 139\n",
      "[Train: ], [139/250: ], [Accuracy: 99.200000], [Loss: 0.061069] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 34.200000], [Loss: 0.092991] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 140\n",
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      "[Test Accuracy: 35.000000], [Loss: 0.001047] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 141\n",
      "[Train: ], [141/250: ], [Accuracy: 99.520000], [Loss: 0.059810] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 34.000000], [Loss: 0.089911] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 142\n",
      "[Train: ], [142/250: ], [Accuracy: 98.960000], [Loss: 0.065292] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 35.600000], [Loss: 0.084066] [Correct: 0.360000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 143\n",
      "[Train: ], [143/250: ], [Accuracy: 99.400000], [Loss: 0.056880] [LossS: 0.000000] [Lr: 0.001000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 34.000000], [Loss: 0.001083] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 144\n",
      "[Train: ], [144/250: ], [Accuracy: 99.280000], [Loss: 0.057273] [LossS: 0.000000] [Lr: 0.001000]\n",
      "[Test Accuracy: 33.800000], [Loss: 0.001098] [Correct: 0.338000]\n",
      "\n",
      "Epoch: 145\n",
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      "[Test Accuracy: 35.000000], [Loss: 0.032222] [Correct: 0.352000]\n",
      "\n",
      "Epoch: 146\n",
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      "[Test Accuracy: 34.400000], [Loss: 0.001017] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 147\n",
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      "\n",
      "Epoch: 148\n",
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      "[Test Accuracy: 34.000000], [Loss: 0.146168] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 149\n",
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      "\n",
      "Epoch: 150\n",
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      "[Test Accuracy: 34.800000], [Loss: 0.129509] [Correct: 0.354000]\n",
      "\n",
      "Epoch: 151\n",
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      "\n",
      "Epoch: 152\n",
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      "\n",
      "Epoch: 153\n",
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      "\n",
      "Epoch: 154\n",
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      "\n",
      "Epoch: 155\n",
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      "\n",
      "Epoch: 156\n",
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      "\n",
      "Epoch: 157\n",
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      "[Test Accuracy: 34.000000], [Loss: 0.092500] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 158\n",
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      "[Test Accuracy: 34.800000], [Loss: 0.090217] [Correct: 0.352000]\n",
      "\n",
      "Epoch: 159\n",
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      "[Test Accuracy: 34.400000], [Loss: 0.087031] [Correct: 0.348000]\n",
      "\n",
      "Epoch: 160\n",
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      "[Test Accuracy: 34.600000], [Loss: 0.090102] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 161\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.095550] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 162\n",
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      "\n",
      "Epoch: 163\n",
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      "\n",
      "Epoch: 164\n",
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      "\n",
      "Epoch: 165\n",
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      "\n",
      "Epoch: 166\n",
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      "\n",
      "Epoch: 167\n",
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      "[Test Accuracy: 33.800000], [Loss: 0.092019] [Correct: 0.342000]\n",
      "\n",
      "Epoch: 168\n",
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      "\n",
      "Epoch: 169\n",
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      "\n",
      "Epoch: 170\n",
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      "\n",
      "Epoch: 171\n",
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      "\n",
      "Epoch: 172\n",
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      "\n",
      "Epoch: 173\n",
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      "\n",
      "Epoch: 174\n",
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      "\n",
      "Epoch: 175\n",
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      "\n",
      "Epoch: 176\n",
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      "\n",
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      "\n",
      "Epoch: 178\n",
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      "\n",
      "Epoch: 179\n",
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      "\n",
      "Epoch: 180\n",
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      "\n",
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      "\n",
      "Epoch: 182\n",
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      "\n",
      "Epoch: 183\n",
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      "\n",
      "Epoch: 184\n",
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      "[Test Accuracy: 34.000000], [Loss: 0.090167] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 185\n",
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      "[Test Accuracy: 34.000000], [Loss: 0.090103] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 186\n",
      "[Train: ], [186/250: ], [Accuracy: 99.400000], [Loss: 0.054812] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 33.400000], [Loss: 0.096019] [Correct: 0.338000]\n",
      "\n",
      "Epoch: 187\n",
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      "[Test Accuracy: 33.000000], [Loss: 0.095096] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 188\n",
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      "[Test Accuracy: 34.200000], [Loss: 0.090787] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 189\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.099118] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 190\n",
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      "[Test Accuracy: 34.600000], [Loss: 0.091206] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 191\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Train: ], [191/250: ], [Accuracy: 99.520000], [Loss: 0.055823] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 34.000000], [Loss: 0.090679] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 192\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.098221] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 193\n",
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      "\n",
      "Epoch: 194\n",
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      "[Test Accuracy: 34.000000], [Loss: 0.088896] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 195\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.090159] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 196\n",
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      "\n",
      "Epoch: 197\n",
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      "\n",
      "Epoch: 198\n",
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      "\n",
      "Epoch: 199\n",
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      "\n",
      "Epoch: 200\n",
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      "\n",
      "Epoch: 201\n",
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      "\n",
      "Epoch: 202\n",
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      "\n",
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      "\n",
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      "\n",
      "Epoch: 205\n",
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      "[Test Accuracy: 35.000000], [Loss: 0.087572] [Correct: 0.354000]\n",
      "\n",
      "Epoch: 206\n",
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      "\n",
      "Epoch: 207\n",
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      "\n",
      "Epoch: 208\n",
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      "\n",
      "Epoch: 209\n",
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      "\n",
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      "\n",
      "Epoch: 211\n",
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      "\n",
      "Epoch: 212\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.093832] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 213\n",
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      "\n",
      "Epoch: 214\n",
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      "\n",
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      "\n",
      "Epoch: 216\n",
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      "\n",
      "Epoch: 217\n",
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      "\n",
      "Epoch: 218\n",
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      "\n",
      "Epoch: 219\n",
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      "\n",
      "Epoch: 220\n",
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      "\n",
      "Epoch: 221\n",
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      "\n",
      "Epoch: 222\n",
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      "\n",
      "Epoch: 223\n",
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      "\n",
      "Epoch: 224\n",
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      "\n",
      "Epoch: 225\n",
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      "\n",
      "Epoch: 226\n",
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      "\n",
      "Epoch: 227\n",
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      "\n",
      "Epoch: 228\n",
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      "\n",
      "Epoch: 229\n",
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      "[Test Accuracy: 33.800000], [Loss: 0.089391] [Correct: 0.342000]\n",
      "\n",
      "Epoch: 230\n",
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      "[Test Accuracy: 33.600000], [Loss: 0.092534] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 231\n",
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      "[Test Accuracy: 34.200000], [Loss: 0.087991] [Correct: 0.346000]\n",
      "\n",
      "Epoch: 232\n",
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      "[Test Accuracy: 35.200000], [Loss: 0.088722] [Correct: 0.356000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 99.640000], [Loss: 0.054157] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.200000], [Loss: 0.092617] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 234\n",
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      "[Test Accuracy: 33.200000], [Loss: 0.091235] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 235\n",
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      "[Test Accuracy: 33.800000], [Loss: 0.093008] [Correct: 0.342000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.560000], [Loss: 0.053615] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.000000], [Loss: 0.094617] [Correct: 0.334000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.600000], [Loss: 0.050919] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.400000], [Loss: 0.091300] [Correct: 0.348000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 99.400000], [Loss: 0.054286] [LossS: 0.000000] [Lr: 0.000010]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 33.200000], [Loss: 0.096084] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 99.440000], [Loss: 0.057980] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.400000], [Loss: 0.088921] [Correct: 0.348000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.720000], [Loss: 0.051718] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.092001] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.280000], [Loss: 0.058534] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.000000], [Loss: 0.092307] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 242\n",
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      "[Test Accuracy: 34.000000], [Loss: 0.090916] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 99.640000], [Loss: 0.050596] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.600000], [Loss: 0.091658] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.680000], [Loss: 0.052556] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.600000], [Loss: 0.093595] [Correct: 0.350000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 99.360000], [Loss: 0.055484] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.200000], [Loss: 0.094897] [Correct: 0.336000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 99.480000], [Loss: 0.053792] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.000000], [Loss: 0.089781] [Correct: 0.344000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.640000], [Loss: 0.052901] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.093438] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.520000], [Loss: 0.053658] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 33.600000], [Loss: 0.092038] [Correct: 0.340000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 99.760000], [Loss: 0.050025] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 34.000000], [Loss: 0.092671] [Correct: 0.344000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task13.pth\n",
      "Task: 13  Test_accuracy: 35.6\n",
      "Training Task :---14\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task13.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 61.720000], [Loss: 1.525240] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 14.800000], [Loss: 0.848399] [Correct: 0.158000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 76.840000], [Loss: 0.682344] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 10.200000], [Loss: 0.124153] [Correct: 0.104000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 78.640000], [Loss: 0.628439] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.600000], [Loss: 0.001422] [Correct: 0.046000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 80.480000], [Loss: 0.570949] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.000000], [Loss: 0.000579] [Correct: 0.020000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 81.880000], [Loss: 0.526043] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.200000], [Loss: 0.008276] [Correct: 0.002000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 82.680000], [Loss: 0.496608] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 1.000000], [Loss: 0.002658] [Correct: 0.010000]\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 83.720000], [Loss: 0.489970] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.600000], [Loss: 0.002069] [Correct: 0.046000]\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 84.120000], [Loss: 0.492204] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.800000], [Loss: 0.003420] [Correct: 0.028000]\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 83.840000], [Loss: 0.468375] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.400000], [Loss: 0.002650] [Correct: 0.004000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 83.360000], [Loss: 0.484255] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.400000], [Loss: 0.001059] [Correct: 0.004000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 84.600000], [Loss: 0.453717] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.600000], [Loss: 0.008546] [Correct: 0.006000]\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 85.160000], [Loss: 0.447015] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.600000], [Loss: 0.001370] [Correct: 0.066000]\n",
      "\n",
      "Epoch: 12\n",
      "[Train: ], [12/250: ], [Accuracy: 85.520000], [Loss: 0.438238] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 2.200000], [Loss: 0.000880] [Correct: 0.022000]\n",
      "\n",
      "Epoch: 13\n",
      "[Train: ], [13/250: ], [Accuracy: 86.600000], [Loss: 0.417040] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.000000], [Loss: 0.002758] [Correct: 0.050000]\n",
      "\n",
      "Epoch: 14\n",
      "[Train: ], [14/250: ], [Accuracy: 85.440000], [Loss: 0.433494] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.200000], [Loss: 0.241818] [Correct: 0.054000]\n",
      "\n",
      "Epoch: 15\n",
      "[Train: ], [15/250: ], [Accuracy: 85.160000], [Loss: 0.416010] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.000000], [Loss: 0.001662] [Correct: 0.030000]\n",
      "\n",
      "Epoch: 16\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "[Test Accuracy: 9.400000], [Loss: 0.002845] [Correct: 0.094000]\n",
      "\n",
      "Epoch: 33\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 12.200000], [Loss: 0.001264] [Correct: 0.122000]\n",
      "\n",
      "Epoch: 36\n",
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      "Saving..\n"
     ]
    },
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     "output_type": "stream",
     "text": [
      "\n",
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      "\n",
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      "\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 22.600000], [Loss: 0.001871] [Correct: 0.226000]\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 26.200000], [Loss: 0.061990] [Correct: 0.264000]\n",
      "\n",
      "Epoch: 178\n",
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      "\n",
      "Epoch: 180\n",
      "[Train: ], [180/250: ], [Accuracy: 98.720000], [Loss: 0.077231] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.062238] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 181\n",
      "[Train: ], [181/250: ], [Accuracy: 98.880000], [Loss: 0.075981] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.064202] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 182\n",
      "[Train: ], [182/250: ], [Accuracy: 98.920000], [Loss: 0.076174] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.063717] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 183\n",
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      "[Test Accuracy: 27.400000], [Loss: 0.059783] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 184\n",
      "[Train: ], [184/250: ], [Accuracy: 98.840000], [Loss: 0.078227] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 26.400000], [Loss: 0.063800] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 185\n",
      "[Train: ], [185/250: ], [Accuracy: 99.040000], [Loss: 0.073346] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.063256] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 186\n",
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      "[Test Accuracy: 27.200000], [Loss: 0.062021] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 187\n",
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      "[Test Accuracy: 27.000000], [Loss: 0.063740] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 188\n",
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      "[Test Accuracy: 27.000000], [Loss: 0.061680] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 189\n",
      "[Train: ], [189/250: ], [Accuracy: 98.400000], [Loss: 0.089877] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.064431] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 190\n",
      "[Train: ], [190/250: ], [Accuracy: 98.800000], [Loss: 0.076895] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.063993] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 191\n",
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      "[Test Accuracy: 26.800000], [Loss: 0.064395] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 192\n",
      "[Train: ], [192/250: ], [Accuracy: 98.800000], [Loss: 0.081080] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.001667] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 193\n",
      "[Train: ], [193/250: ], [Accuracy: 99.000000], [Loss: 0.073105] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.062442] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 194\n",
      "[Train: ], [194/250: ], [Accuracy: 98.520000], [Loss: 0.079680] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.066210] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 195\n",
      "[Train: ], [195/250: ], [Accuracy: 99.040000], [Loss: 0.071391] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.064165] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 196\n",
      "[Train: ], [196/250: ], [Accuracy: 98.880000], [Loss: 0.078245] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.064182] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 197\n",
      "[Train: ], [197/250: ], [Accuracy: 98.720000], [Loss: 0.082270] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.061388] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 198\n",
      "[Train: ], [198/250: ], [Accuracy: 98.680000], [Loss: 0.082632] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.063896] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 199\n",
      "[Train: ], [199/250: ], [Accuracy: 98.920000], [Loss: 0.076917] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.064342] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 200\n",
      "[Train: ], [200/250: ], [Accuracy: 99.240000], [Loss: 0.065434] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.066259] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 201\n",
      "[Train: ], [201/250: ], [Accuracy: 98.960000], [Loss: 0.071579] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.064514] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 202\n",
      "[Train: ], [202/250: ], [Accuracy: 99.120000], [Loss: 0.070374] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.065484] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 203\n",
      "[Train: ], [203/250: ], [Accuracy: 98.920000], [Loss: 0.069997] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.200000], [Loss: 0.067095] [Correct: 0.264000]\n",
      "\n",
      "Epoch: 204\n",
      "[Train: ], [204/250: ], [Accuracy: 98.640000], [Loss: 0.075915] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.064419] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 205\n",
      "[Train: ], [205/250: ], [Accuracy: 98.720000], [Loss: 0.077257] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.064067] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 206\n",
      "[Train: ], [206/250: ], [Accuracy: 99.120000], [Loss: 0.073011] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.063405] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 207\n",
      "[Train: ], [207/250: ], [Accuracy: 98.960000], [Loss: 0.073480] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.066831] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 208\n",
      "[Train: ], [208/250: ], [Accuracy: 99.000000], [Loss: 0.071469] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.800000], [Loss: 0.062213] [Correct: 0.280000]\n",
      "\n",
      "Epoch: 209\n",
      "[Train: ], [209/250: ], [Accuracy: 98.800000], [Loss: 0.085908] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.065190] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 210\n",
      "[Train: ], [210/250: ], [Accuracy: 98.600000], [Loss: 0.085994] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.061736] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 211\n",
      "[Train: ], [211/250: ], [Accuracy: 99.080000], [Loss: 0.072826] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.062460] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 212\n",
      "[Train: ], [212/250: ], [Accuracy: 98.960000], [Loss: 0.071327] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.063499] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 213\n",
      "[Train: ], [213/250: ], [Accuracy: 99.240000], [Loss: 0.068525] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.062111] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 214\n",
      "[Train: ], [214/250: ], [Accuracy: 98.800000], [Loss: 0.074217] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.065211] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 215\n",
      "[Train: ], [215/250: ], [Accuracy: 98.960000], [Loss: 0.071150] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.200000], [Loss: 0.067068] [Correct: 0.264000]\n",
      "\n",
      "Epoch: 216\n",
      "[Train: ], [216/250: ], [Accuracy: 98.640000], [Loss: 0.082111] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.140066] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 217\n",
      "[Train: ], [217/250: ], [Accuracy: 98.520000], [Loss: 0.084348] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.063905] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 218\n",
      "[Train: ], [218/250: ], [Accuracy: 99.160000], [Loss: 0.067758] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.063504] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 98.680000], [Loss: 0.084018] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 28.000000], [Loss: 0.061857] [Correct: 0.282000]\n",
      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 98.840000], [Loss: 0.077656] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.065835] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 221\n",
      "[Train: ], [221/250: ], [Accuracy: 98.800000], [Loss: 0.083431] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.064822] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 98.680000], [Loss: 0.081025] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.062884] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.320000], [Loss: 0.070488] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.066450] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 98.840000], [Loss: 0.078262] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.064260] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 225\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Train: ], [225/250: ], [Accuracy: 99.160000], [Loss: 0.071306] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.060615] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 226\n",
      "[Train: ], [226/250: ], [Accuracy: 98.960000], [Loss: 0.072421] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.065318] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 227\n",
      "[Train: ], [227/250: ], [Accuracy: 98.920000], [Loss: 0.073511] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.065766] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 228\n",
      "[Train: ], [228/250: ], [Accuracy: 99.200000], [Loss: 0.075673] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 28.000000], [Loss: 0.061405] [Correct: 0.282000]\n",
      "\n",
      "Epoch: 229\n",
      "[Train: ], [229/250: ], [Accuracy: 98.760000], [Loss: 0.075071] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.064675] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 230\n",
      "[Train: ], [230/250: ], [Accuracy: 98.880000], [Loss: 0.072845] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.066356] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 231\n",
      "[Train: ], [231/250: ], [Accuracy: 98.840000], [Loss: 0.071916] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.065830] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 232\n",
      "[Train: ], [232/250: ], [Accuracy: 98.920000], [Loss: 0.074924] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.061853] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 233\n",
      "[Train: ], [233/250: ], [Accuracy: 98.920000], [Loss: 0.075952] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.065580] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 234\n",
      "[Train: ], [234/250: ], [Accuracy: 98.680000], [Loss: 0.081253] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.066357] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 235\n",
      "[Train: ], [235/250: ], [Accuracy: 98.840000], [Loss: 0.076508] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.065244] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 236\n",
      "[Train: ], [236/250: ], [Accuracy: 99.080000], [Loss: 0.070434] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.065124] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 237\n",
      "[Train: ], [237/250: ], [Accuracy: 99.120000], [Loss: 0.072797] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.067401] [Correct: 0.268000]\n",
      "\n",
      "Epoch: 238\n",
      "[Train: ], [238/250: ], [Accuracy: 98.880000], [Loss: 0.074842] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.066166] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 239\n",
      "[Train: ], [239/250: ], [Accuracy: 98.640000], [Loss: 0.077322] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.065327] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 240\n",
      "[Train: ], [240/250: ], [Accuracy: 99.280000], [Loss: 0.069629] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.062001] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 241\n",
      "[Train: ], [241/250: ], [Accuracy: 99.080000], [Loss: 0.071226] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.600000], [Loss: 0.064151] [Correct: 0.278000]\n",
      "\n",
      "Epoch: 242\n",
      "[Train: ], [242/250: ], [Accuracy: 99.040000], [Loss: 0.071671] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.800000], [Loss: 0.065430] [Correct: 0.280000]\n",
      "\n",
      "Epoch: 243\n",
      "[Train: ], [243/250: ], [Accuracy: 99.000000], [Loss: 0.071871] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.000000], [Loss: 0.066173] [Correct: 0.272000]\n",
      "\n",
      "Epoch: 244\n",
      "[Train: ], [244/250: ], [Accuracy: 99.000000], [Loss: 0.070506] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.400000], [Loss: 0.063407] [Correct: 0.276000]\n",
      "\n",
      "Epoch: 245\n",
      "[Train: ], [245/250: ], [Accuracy: 98.920000], [Loss: 0.074616] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 27.200000], [Loss: 0.065086] [Correct: 0.274000]\n",
      "\n",
      "Epoch: 246\n",
      "[Train: ], [246/250: ], [Accuracy: 99.160000], [Loss: 0.065790] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.400000], [Loss: 0.067277] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 247\n",
      "[Train: ], [247/250: ], [Accuracy: 99.120000], [Loss: 0.066561] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.400000], [Loss: 0.066827] [Correct: 0.266000]\n",
      "\n",
      "Epoch: 248\n",
      "[Train: ], [248/250: ], [Accuracy: 99.200000], [Loss: 0.067661] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.800000], [Loss: 0.066155] [Correct: 0.270000]\n",
      "\n",
      "Epoch: 249\n",
      "[Train: ], [249/250: ], [Accuracy: 98.920000], [Loss: 0.072033] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 26.600000], [Loss: 0.068010] [Correct: 0.268000]\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task14.pth\n",
      "Task: 14  Test_accuracy: 28.2\n",
      "Training Task :---15\n",
      "==> Resuming from checkpoint..\n",
      "ckpt816/cifar100-20/ckpt_task14.pth\n",
      "\n",
      "Epoch: 0\n",
      "[Train: ], [0/250: ], [Accuracy: 53.320000], [Loss: 1.715924] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 6.000000], [Loss: 0.904890] [Correct: 0.066000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 1\n",
      "[Train: ], [1/250: ], [Accuracy: 68.800000], [Loss: 0.913058] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.000000], [Loss: 0.001919] [Correct: 0.030000]\n",
      "\n",
      "Epoch: 2\n",
      "[Train: ], [2/250: ], [Accuracy: 73.480000], [Loss: 0.780958] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 0.200000], [Loss: 0.000945] [Correct: 0.002000]\n",
      "\n",
      "Epoch: 3\n",
      "[Train: ], [3/250: ], [Accuracy: 75.520000], [Loss: 0.730525] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 5.400000], [Loss: 0.001833] [Correct: 0.054000]\n",
      "\n",
      "Epoch: 4\n",
      "[Train: ], [4/250: ], [Accuracy: 77.640000], [Loss: 0.663094] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 3.400000], [Loss: 0.003373] [Correct: 0.034000]\n",
      "\n",
      "Epoch: 5\n",
      "[Train: ], [5/250: ], [Accuracy: 78.800000], [Loss: 0.634756] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.200000], [Loss: 0.001475] [Correct: 0.072000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 6\n",
      "[Train: ], [6/250: ], [Accuracy: 80.560000], [Loss: 0.600448] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 7.200000], [Loss: 0.001677] [Correct: 0.072000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 7\n",
      "[Train: ], [7/250: ], [Accuracy: 81.480000], [Loss: 0.573846] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 10.600000], [Loss: 0.534617] [Correct: 0.112000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 8\n",
      "[Train: ], [8/250: ], [Accuracy: 81.600000], [Loss: 0.559886] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 4.800000], [Loss: 0.002365] [Correct: 0.048000]\n",
      "\n",
      "Epoch: 9\n",
      "[Train: ], [9/250: ], [Accuracy: 81.960000], [Loss: 0.540922] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 8.000000], [Loss: 0.002209] [Correct: 0.080000]\n",
      "\n",
      "Epoch: 10\n",
      "[Train: ], [10/250: ], [Accuracy: 82.680000], [Loss: 0.520019] [LossS: 0.000000] [Lr: 0.010000]\n",
      "[Test Accuracy: 12.000000], [Loss: 0.001930] [Correct: 0.120000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 11\n",
      "[Train: ], [11/250: ], [Accuracy: 85.160000], [Loss: 0.473898] [LossS: 0.000000] [Lr: 0.010000]\n",
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      "Epoch: 20\n",
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      "\n",
      "Epoch: 21\n"
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     "output_type": "stream",
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      "[Train: ], [21/250: ], [Accuracy: 87.960000], [Loss: 0.399575] [LossS: 0.000000] [Lr: 0.010000]\n",
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     ]
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     "output_type": "stream",
     "text": [
      "[Test Accuracy: 33.000000], [Loss: 0.475940] [Correct: 0.344000]\n",
      "Saving..\n",
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      "\n",
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      "\n",
      "Epoch: 116\n"
     ]
    },
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     "output_type": "stream",
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     ]
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     "output_type": "stream",
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      "\n",
      "Epoch: 174\n",
      "[Train: ], [174/250: ], [Accuracy: 99.680000], [Loss: 0.054970] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.040375] [Correct: 0.398000]\n",
      "\n",
      "Epoch: 175\n",
      "[Train: ], [175/250: ], [Accuracy: 99.400000], [Loss: 0.058375] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.800000], [Loss: 0.038700] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 176\n",
      "[Train: ], [176/250: ], [Accuracy: 99.520000], [Loss: 0.057631] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.039094] [Correct: 0.398000]\n",
      "\n",
      "Epoch: 177\n",
      "[Train: ], [177/250: ], [Accuracy: 99.400000], [Loss: 0.060844] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.001050] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 178\n",
      "[Train: ], [178/250: ], [Accuracy: 99.240000], [Loss: 0.065945] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.001058] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 179\n",
      "[Train: ], [179/250: ], [Accuracy: 99.240000], [Loss: 0.068029] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.001485] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 180\n",
      "[Train: ], [180/250: ], [Accuracy: 99.360000], [Loss: 0.058514] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.001004] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 181\n",
      "[Train: ], [181/250: ], [Accuracy: 99.240000], [Loss: 0.059511] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.038494] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 182\n",
      "[Train: ], [182/250: ], [Accuracy: 99.160000], [Loss: 0.063718] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.039672] [Correct: 0.410000]\n",
      "\n",
      "Epoch: 183\n",
      "[Train: ], [183/250: ], [Accuracy: 99.400000], [Loss: 0.058299] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.038735] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 184\n",
      "[Train: ], [184/250: ], [Accuracy: 99.280000], [Loss: 0.061409] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.076207] [Correct: 0.410000]\n",
      "\n",
      "Epoch: 185\n",
      "[Train: ], [185/250: ], [Accuracy: 99.480000], [Loss: 0.055895] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.000000], [Loss: 0.074759] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 186\n",
      "[Train: ], [186/250: ], [Accuracy: 99.560000], [Loss: 0.057982] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.000000], [Loss: 0.038745] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 187\n",
      "[Train: ], [187/250: ], [Accuracy: 99.480000], [Loss: 0.057802] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.039033] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 188\n",
      "[Train: ], [188/250: ], [Accuracy: 99.480000], [Loss: 0.058383] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.038302] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 189\n",
      "[Train: ], [189/250: ], [Accuracy: 99.280000], [Loss: 0.059383] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.800000], [Loss: 0.039734] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 190\n",
      "[Train: ], [190/250: ], [Accuracy: 99.320000], [Loss: 0.063313] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.001427] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 191\n",
      "[Train: ], [191/250: ], [Accuracy: 99.600000], [Loss: 0.055651] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.039147] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 192\n",
      "[Train: ], [192/250: ], [Accuracy: 99.120000], [Loss: 0.064883] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.038705] [Correct: 0.410000]\n",
      "\n",
      "Epoch: 193\n",
      "[Train: ], [193/250: ], [Accuracy: 99.520000], [Loss: 0.055912] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 41.400000], [Loss: 0.037464] [Correct: 0.416000]\n",
      "Saving..\n",
      "\n",
      "Epoch: 194\n",
      "[Train: ], [194/250: ], [Accuracy: 99.400000], [Loss: 0.059631] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.000000], [Loss: 0.040935] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 195\n",
      "[Train: ], [195/250: ], [Accuracy: 99.360000], [Loss: 0.063749] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.038585] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 196\n",
      "[Train: ], [196/250: ], [Accuracy: 99.200000], [Loss: 0.062805] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.039398] [Correct: 0.398000]\n",
      "\n",
      "Epoch: 197\n",
      "[Train: ], [197/250: ], [Accuracy: 99.200000], [Loss: 0.064781] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 39.200000], [Loss: 0.039010] [Correct: 0.394000]\n",
      "\n",
      "Epoch: 198\n",
      "[Train: ], [198/250: ], [Accuracy: 99.360000], [Loss: 0.062353] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.037895] [Correct: 0.410000]\n",
      "\n",
      "Epoch: 199\n",
      "[Train: ], [199/250: ], [Accuracy: 99.240000], [Loss: 0.065203] [LossS: 0.000000] [Lr: 0.000100]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.039089] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 200\n",
      "[Train: ], [200/250: ], [Accuracy: 99.440000], [Loss: 0.060046] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.001368] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 201\n",
      "[Train: ], [201/250: ], [Accuracy: 99.360000], [Loss: 0.056582] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.072773] [Correct: 0.412000]\n",
      "\n",
      "Epoch: 202\n",
      "[Train: ], [202/250: ], [Accuracy: 99.040000], [Loss: 0.065723] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 41.000000], [Loss: 0.037411] [Correct: 0.412000]\n",
      "\n",
      "Epoch: 203\n",
      "[Train: ], [203/250: ], [Accuracy: 99.120000], [Loss: 0.065160] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.800000], [Loss: 0.070753] [Correct: 0.412000]\n",
      "\n",
      "Epoch: 204\n",
      "[Train: ], [204/250: ], [Accuracy: 99.480000], [Loss: 0.057855] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 39.800000], [Loss: 0.074182] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 205\n",
      "[Train: ], [205/250: ], [Accuracy: 99.680000], [Loss: 0.053949] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.000000], [Loss: 0.039917] [Correct: 0.402000]\n",
      "\n",
      "Epoch: 206\n",
      "[Train: ], [206/250: ], [Accuracy: 99.280000], [Loss: 0.064922] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.075325] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 207\n",
      "[Train: ], [207/250: ], [Accuracy: 99.520000], [Loss: 0.058322] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.037655] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 208\n",
      "[Train: ], [208/250: ], [Accuracy: 99.440000], [Loss: 0.062474] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.001453] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 209\n",
      "[Train: ], [209/250: ], [Accuracy: 99.400000], [Loss: 0.058010] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.600000], [Loss: 0.039680] [Correct: 0.408000]\n",
      "\n",
      "Epoch: 210\n",
      "[Train: ], [210/250: ], [Accuracy: 99.360000], [Loss: 0.060987] [LossS: 0.000000] [Lr: 0.000010]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Test Accuracy: 41.200000], [Loss: 0.001404] [Correct: 0.412000]\n",
      "\n",
      "Epoch: 211\n",
      "[Train: ], [211/250: ], [Accuracy: 99.520000], [Loss: 0.056117] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.039054] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 212\n",
      "[Train: ], [212/250: ], [Accuracy: 99.560000], [Loss: 0.055179] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 39.800000], [Loss: 0.039843] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 213\n",
      "[Train: ], [213/250: ], [Accuracy: 98.960000], [Loss: 0.065578] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.001459] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 214\n",
      "[Train: ], [214/250: ], [Accuracy: 99.560000], [Loss: 0.056110] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 39.400000], [Loss: 0.037350] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 215\n",
      "[Train: ], [215/250: ], [Accuracy: 99.480000], [Loss: 0.058736] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 39.400000], [Loss: 0.038226] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 216\n",
      "[Train: ], [216/250: ], [Accuracy: 99.360000], [Loss: 0.062994] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 41.000000], [Loss: 0.037690] [Correct: 0.412000]\n",
      "\n",
      "Epoch: 217\n",
      "[Train: ], [217/250: ], [Accuracy: 99.440000], [Loss: 0.059486] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 41.200000], [Loss: 0.039339] [Correct: 0.414000]\n",
      "\n",
      "Epoch: 218\n",
      "[Train: ], [218/250: ], [Accuracy: 99.120000], [Loss: 0.066466] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.037726] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 219\n",
      "[Train: ], [219/250: ], [Accuracy: 99.520000], [Loss: 0.060026] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.038111] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 220\n",
      "[Train: ], [220/250: ], [Accuracy: 99.400000], [Loss: 0.059437] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.001030] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 221\n",
      "[Train: ], [221/250: ], [Accuracy: 99.640000], [Loss: 0.054769] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 39.800000], [Loss: 0.037166] [Correct: 0.400000]\n",
      "\n",
      "Epoch: 222\n",
      "[Train: ], [222/250: ], [Accuracy: 99.440000], [Loss: 0.059460] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.200000], [Loss: 0.074212] [Correct: 0.406000]\n",
      "\n",
      "Epoch: 223\n",
      "[Train: ], [223/250: ], [Accuracy: 99.360000], [Loss: 0.061550] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 40.400000], [Loss: 0.001501] [Correct: 0.404000]\n",
      "\n",
      "Epoch: 224\n",
      "[Train: ], [224/250: ], [Accuracy: 99.440000], [Loss: 0.058485] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 41.000000], [Loss: 0.001502] [Correct: 0.410000]\n",
      "\n",
      "Epoch: 225\n",
      "[Train: ], [225/250: ], [Accuracy: 99.080000], [Loss: 0.067602] [LossS: 0.000000] [Lr: 0.000010]\n",
      "[Test Accuracy: 39.600000], [Loss: 0.001092] [Correct: 0.396000]\n",
      "\n",
      "Epoch: 226\n"
     ]
    }
   ],
   "source": [
    "# groupwise and pointwise group convolutional size\n",
    "gp=8\n",
    "pt=16\n",
    "###############################################\n",
    "\n",
    "task_model=[]\n",
    "task_acc=[]\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "\n",
    "for task in range(args.num_task):\n",
    "    if task==0:\n",
    "        best_acc=0\n",
    "        print('Training Task :---'+str(task))\n",
    "\n",
    "        train_loader, test_loader = task_data[task][0],task_data[task][1]\n",
    "        modelm = Net().cuda()\n",
    "\n",
    "#         criterion = nn.CrossEntropyLoss()\n",
    "        mse_loss=nn.MSELoss()\n",
    "        optimizer = optim.SGD(modelm.parameters(), lr=args.lr, momentum=0.9, weight_decay=5e-3)\n",
    "        schedulerG = MultiStepLR(optimizer, milestones=[100, 150, 200], gamma=0.1)\n",
    "\n",
    "        for epoch in range(args.total_epoch):\n",
    "            train(train_loader,epoch,task,modelm,task_model)\n",
    "            test(test_loader,task,modelm,task_model)\n",
    "            schedulerG.step()\n",
    "        acc1=load_model(task,modelm)\n",
    "        task_model.append(copy.deepcopy(modelm))\n",
    "\n",
    "\n",
    "    if task!=0:\n",
    "        print('Training Task :---'+str(task))\n",
    "        best_acc=0\n",
    "        train_loader, test_loader = task_data[task][0],task_data[task][1]\n",
    "        modelm = Net().cuda()\n",
    "\n",
    "        acc1=load_model(task-1,modelm)  \n",
    "        grad_false(modelm)\n",
    "\n",
    "#         criterion = nn.CrossEntropyLoss()\n",
    "        mse_loss=nn.MSELoss()\n",
    "        optimizer = optim.SGD(modelm.parameters(), lr=args.lr, momentum=0.9, weight_decay=5e-3)\n",
    "        schedulerG = MultiStepLR(optimizer, milestones=[100,150,200],gamma=0.1)\n",
    "        if task>=1:\n",
    "            for epoch in range(args.total_epoch):\n",
    "                train(train_loader,epoch,task,modelm,task_model)\n",
    "                test(test_loader,task,modelm,task_model)\n",
    "                schedulerG.step()\n",
    "\n",
    "        acc1=load_model(task,modelm)\n",
    "        task_model.append(copy.deepcopy(modelm))\n",
    "\n",
    "    task_acc.append(acc1)\n",
    "    print('Task: '+str(task)+'  Test_accuracy: '+ str(acc1))\n",
    "\n",
    "# This evaluation only check the accuracy of the current task with all the previous task.\n",
    "# therefore not correct since if trained the model for the 10 task the 1st task will get \n",
    "# evaluated with 10 task. Next cell provides the model evaluation\n",
    "\n",
    "print(task_acc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def inference_check_task(dtask,mtask,inputs,task_model):\n",
    "    joint_entropy=[]\n",
    "    with torch.no_grad():\n",
    "        for m in range(mtask+1):\n",
    "            task_model[m].eval()\n",
    "            outputs,_=task_model[m](inputs)\n",
    "\n",
    "            sout=F.softmax(outputs,1)\n",
    "            entropy=-torch.sum(sout*torch.log(sout+0.0001),1)\n",
    "            joint_entropy.append(entropy)\n",
    "\n",
    "\n",
    "    all_entropy=torch.zeros([joint_entropy[0].shape[0],mtask+1]).cuda()\n",
    "    for i in range(mtask+1):\n",
    "        all_entropy[:,i]=joint_entropy[i]\n",
    "    ctask=torch.argmin(all_entropy, axis=1)==dtask\n",
    "    correct=sum(ctask)\n",
    "    \n",
    "    return ctask, correct,all_entropy\n",
    "\n",
    "\n",
    "\n",
    "def inferecne(test_loader,dtask,mtask,task_model):\n",
    "    global best_acc\n",
    "    model=task_model[dtask].eval()\n",
    "    test_loss = 0\n",
    "    correct = 0\n",
    "    total = 0\n",
    "    cl_loss=0\n",
    "    tcorrect=0\n",
    "    accuracy=[]\n",
    "    with torch.no_grad():\n",
    "        for batch_idx, (inputs, targets) in enumerate(test_loader):\n",
    "            inputs, targets1 = inputs.cuda(), targets.cuda()\n",
    "            targets=targets1-dtask*args.class_per_task\n",
    "                        \n",
    "            if mtask>0:\n",
    "                correct_sample,Ncorrect,_=inference_check_task(dtask,mtask,inputs,task_model)\n",
    "                tcorrect+=Ncorrect\n",
    "                inputs=inputs[correct_sample]\n",
    "                targets=targets[correct_sample]\n",
    "                \n",
    "            if inputs.shape[0]!=0:\n",
    "                outputs,_ = model(inputs)\n",
    "                loss = criterion(outputs, targets)\n",
    "\n",
    "                test_loss += loss.item()\n",
    "                _, predicted = outputs.max(1)\n",
    "                correct += predicted.eq(targets).sum().item()\n",
    "            total += targets1.size(0)\n",
    "    if mtask>0:\n",
    "        taskC= tcorrect.item()/total\n",
    "    else:\n",
    "        taskC=1.0 \n",
    "    acc = 100.*correct/total\n",
    "    print(\"[Test Accuracy: %f], [Loss: %f] [Correct: %f]\" %(acc,test_loss/(batch_idx+1),taskC))\n",
    "    \n",
    "    return acc,taskC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cl_acc=[]\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "for mtask in range(args.num_task):\n",
    "    accuracy=[]\n",
    "    corr=[]\n",
    "    print('#######################################################')\n",
    "    ttask=mtask+1\n",
    "    for dtask in range(ttask):\n",
    "        print('Testing Task :---'+str(dtask))\n",
    "        test_loader = task_data[dtask][1]\n",
    "        acc,correct=inferecne(test_loader,dtask,mtask,task_model)\n",
    "        accuracy.append(acc)\n",
    "        corr.append(correct)\n",
    "    task_acc=np.mean(accuracy)\n",
    "    task_correct=np.mean(corr)\n",
    "    print('acc: '+str(task_acc)+'  Correct:  '+str(task_correct))\n",
    "    cl_acc.append(task_acc)\n",
    "print(np.array(cl_acc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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