Skip to content

Instantly share code, notes, and snippets.

@remorsecs

remorsecs/VAE.ipynb

Last active August 1, 2018 05:09
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save remorsecs/1980b8dde2871b2798380a31b9f4a61d to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save remorsecs/1980b8dde2871b2798380a31b9f4a61d to your computer and use it in GitHub Desktop.
Download ZIP
PyTorch Implementation of Variational Autoencoder (VAE) on MNIST Dataset
Display the source blob
Display the rendered blob
Raw
VAE.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import argparse\n",
"import torch\n",
"import torch.utils.data\n",
"from torch import nn, optim\n",
"from torch.nn import functional as F\n",
"from torchvision import datasets, transforms\n",
"from torchvision.utils import save_image"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"parser = argparse.ArgumentParser(description='VAE MNIST Example')\n",
"parser.add_argument('--batch-size', type=int, default=128, metavar='N',\n",
" help='input batch size for training (default: 128)')\n",
"parser.add_argument('--epochs', type=int, default=10, metavar='N',\n",
" help='number of epochs to train (default: 10)')\n",
"parser.add_argument('--no-cuda', action='store_true', default=False,\n",
" help='enables CUDA training')\n",
"parser.add_argument('--seed', type=int, default=1, metavar='S',\n",
" help='random seed (default: 1)')\n",
"parser.add_argument('--log-interval', type=int, default=10, metavar='N',\n",
" help='how many batches to wait before logging training status')\n",
"args = parser.parse_args()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import easydict\n",
"\n",
"args = easydict.EasyDict({\n",
" 'batch_size': 128,\n",
" 'epochs': 100,\n",
" 'no_cuda': False,\n",
" 'seed': 1,\n",
" 'log_interval': 10\n",
"})"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"args.cuda = not args.no_cuda and torch.cuda.is_available()\n",
"\n",
"\n",
"torch.manual_seed(args.seed)\n",
"\n",
"device = torch.device(\"cuda\" if args.cuda else \"cpu\")\n",
"\n",
"kwargs = {'num_workers': 1, 'pin_memory': True} if args.cuda else {}\n",
"train_loader = torch.utils.data.DataLoader(\n",
" datasets.MNIST('../data', train=True, download=True,\n",
" transform=transforms.ToTensor()),\n",
" batch_size=args.batch_size, shuffle=True, **kwargs)\n",
"test_loader = torch.utils.data.DataLoader(\n",
" datasets.MNIST('../data', train=False, transform=transforms.ToTensor()),\n",
" batch_size=args.batch_size, shuffle=True, **kwargs)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"class VAE(nn.Module):\n",
" def __init__(self):\n",
" super(VAE, self).__init__()\n",
"\n",
" self.fc1 = nn.Linear(784, 400)\n",
" self.fc21 = nn.Linear(400, 20)\n",
" self.fc22 = nn.Linear(400, 20)\n",
" self.fc3 = nn.Linear(20, 400)\n",
" self.fc4 = nn.Linear(400, 784)\n",
"\n",
" def encode(self, x):\n",
" h1 = F.relu(self.fc1(x))\n",
" return self.fc21(h1), self.fc22(h1)\n",
"\n",
" def reparameterize(self, mu, logvar):\n",
" if self.training:\n",
" std = torch.exp(0.5*logvar)\n",
" eps = torch.randn_like(std)\n",
" return eps.mul(std).add_(mu)\n",
" else:\n",
" return mu\n",
"\n",
" def decode(self, z):\n",
" h3 = F.relu(self.fc3(z))\n",
" return F.sigmoid(self.fc4(h3))\n",
"\n",
" def forward(self, x):\n",
" mu, logvar = self.encode(x.view(-1, 784))\n",
" z = self.reparameterize(mu, logvar)\n",
" return self.decode(z), mu, logvar"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"model = VAE().to(device)\n",
"optimizer = optim.Adam(model.parameters(), lr=1e-3)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Reconstruction + KL divergence losses summed over all elements and batch\n",
"def loss_function(recon_x, x, mu, logvar):\n",
" BCE = F.binary_cross_entropy(recon_x, x.view(-1, 784), size_average=False)\n",
"\n",
" # see Appendix B from VAE paper:\n",
" # Kingma and Welling. Auto-Encoding Variational Bayes. ICLR, 2014\n",
" # https://arxiv.org/abs/1312.6114\n",
" # 0.5 * sum(1 + log(sigma^2) - mu^2 - sigma^2)\n",
" KLD = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())\n",
"\n",
" return BCE + KLD\n",
"\n",
"\n",
"def train(epoch):\n",
" model.train()\n",
" train_loss = 0\n",
" for batch_idx, (data, _) in enumerate(train_loader):\n",
" data = data.to(device)\n",
" optimizer.zero_grad()\n",
" recon_batch, mu, logvar = model(data)\n",
" loss = loss_function(recon_batch, data, mu, logvar)\n",
" loss.backward()\n",
" train_loss += loss.item()\n",
" optimizer.step()\n",
" if batch_idx % args.log_interval == 0:\n",
" print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n",
" epoch, batch_idx * len(data), len(train_loader.dataset),\n",
" 100. * batch_idx / len(train_loader),\n",
" loss.item() / len(data)))\n",
"\n",
" print('====> Epoch: {} Average loss: {:.4f}'.format(\n",
" epoch, train_loss / len(train_loader.dataset)))\n",
"\n",
"\n",
"def test(epoch):\n",
" model.eval()\n",
" test_loss = 0\n",
" with torch.no_grad():\n",
" for i, (data, _) in enumerate(test_loader):\n",
" data = data.to(device)\n",
" recon_batch, mu, logvar = model(data)\n",
" test_loss += loss_function(recon_batch, data, mu, logvar).item()\n",
" if i == 0:\n",
" n = min(data.size(0), 8)\n",
" comparison = torch.cat([data[:n],\n",
" recon_batch.view(args.batch_size, 1, 28, 28)[:n]])\n",
" save_image(comparison.cpu(),\n",
" 'results/reconstruction_' + str(epoch) + '.png', nrow=n)\n",
"\n",
" test_loss /= len(test_loader.dataset)\n",
" print('====> Test set loss: {:.4f}'.format(test_loss))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/maniac/Environments/pytorch-0.4.1/lib/python3.7/site-packages/torch/nn/functional.py:1006: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\n",
" warnings.warn(\"nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\")\n",
"/home/maniac/Environments/pytorch-0.4.1/lib/python3.7/site-packages/torch/nn/functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.\n",
" warnings.warn(warning.format(ret))\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 1 [0/60000 (0%)]\tLoss: 550.824402\n",
"Train Epoch: 1 [1280/60000 (2%)]\tLoss: 321.067963\n",
"Train Epoch: 1 [2560/60000 (4%)]\tLoss: 237.401779\n",
"Train Epoch: 1 [3840/60000 (6%)]\tLoss: 218.547760\n",
"Train Epoch: 1 [5120/60000 (9%)]\tLoss: 203.268021\n",
"Train Epoch: 1 [6400/60000 (11%)]\tLoss: 209.422241\n",
"Train Epoch: 1 [7680/60000 (13%)]\tLoss: 204.955231\n",
"Train Epoch: 1 [8960/60000 (15%)]\tLoss: 197.315399\n",
"Train Epoch: 1 [10240/60000 (17%)]\tLoss: 194.570587\n",
"Train Epoch: 1 [11520/60000 (19%)]\tLoss: 186.343018\n",
"Train Epoch: 1 [12800/60000 (21%)]\tLoss: 184.381943\n",
"Train Epoch: 1 [14080/60000 (23%)]\tLoss: 181.570129\n",
"Train Epoch: 1 [15360/60000 (26%)]\tLoss: 174.740601\n",
"Train Epoch: 1 [16640/60000 (28%)]\tLoss: 163.468887\n",
"Train Epoch: 1 [17920/60000 (30%)]\tLoss: 168.759079\n",
"Train Epoch: 1 [19200/60000 (32%)]\tLoss: 161.363708\n",
"Train Epoch: 1 [20480/60000 (34%)]\tLoss: 164.199356\n",
"Train Epoch: 1 [21760/60000 (36%)]\tLoss: 157.429901\n",
"Train Epoch: 1 [23040/60000 (38%)]\tLoss: 159.028122\n",
"Train Epoch: 1 [24320/60000 (41%)]\tLoss: 153.253647\n",
"Train Epoch: 1 [25600/60000 (43%)]\tLoss: 147.469299\n",
"Train Epoch: 1 [26880/60000 (45%)]\tLoss: 150.867508\n",
"Train Epoch: 1 [28160/60000 (47%)]\tLoss: 155.492859\n",
"Train Epoch: 1 [29440/60000 (49%)]\tLoss: 144.944046\n",
"Train Epoch: 1 [30720/60000 (51%)]\tLoss: 147.312439\n",
"Train Epoch: 1 [32000/60000 (53%)]\tLoss: 147.121567\n",
"Train Epoch: 1 [33280/60000 (55%)]\tLoss: 142.434753\n",
"Train Epoch: 1 [34560/60000 (58%)]\tLoss: 138.370239\n",
"Train Epoch: 1 [35840/60000 (60%)]\tLoss: 148.589462\n",
"Train Epoch: 1 [37120/60000 (62%)]\tLoss: 138.441544\n",
"Train Epoch: 1 [38400/60000 (64%)]\tLoss: 142.992371\n",
"Train Epoch: 1 [39680/60000 (66%)]\tLoss: 142.268341\n",
"Train Epoch: 1 [40960/60000 (68%)]\tLoss: 136.799774\n",
"Train Epoch: 1 [42240/60000 (70%)]\tLoss: 135.344788\n",
"Train Epoch: 1 [43520/60000 (72%)]\tLoss: 135.140259\n",
"Train Epoch: 1 [44800/60000 (75%)]\tLoss: 134.352356\n",
"Train Epoch: 1 [46080/60000 (77%)]\tLoss: 136.816162\n",
"Train Epoch: 1 [47360/60000 (79%)]\tLoss: 129.569977\n",
"Train Epoch: 1 [48640/60000 (81%)]\tLoss: 136.069519\n",
"Train Epoch: 1 [49920/60000 (83%)]\tLoss: 131.133209\n",
"Train Epoch: 1 [51200/60000 (85%)]\tLoss: 131.371719\n",
"Train Epoch: 1 [52480/60000 (87%)]\tLoss: 136.901733\n",
"Train Epoch: 1 [53760/60000 (90%)]\tLoss: 136.641495\n",
"Train Epoch: 1 [55040/60000 (92%)]\tLoss: 130.598984\n",
"Train Epoch: 1 [56320/60000 (94%)]\tLoss: 125.286880\n",
"Train Epoch: 1 [57600/60000 (96%)]\tLoss: 132.836304\n",
"Train Epoch: 1 [58880/60000 (98%)]\tLoss: 130.928909\n",
"====> Epoch: 1 Average loss: 164.4717\n",
"====> Test set loss: 119.1951\n",
"Train Epoch: 2 [0/60000 (0%)]\tLoss: 123.746574\n",
"Train Epoch: 2 [1280/60000 (2%)]\tLoss: 128.782059\n",
"Train Epoch: 2 [2560/60000 (4%)]\tLoss: 121.900856\n",
"Train Epoch: 2 [3840/60000 (6%)]\tLoss: 128.283722\n",
"Train Epoch: 2 [5120/60000 (9%)]\tLoss: 123.657516\n",
"Train Epoch: 2 [6400/60000 (11%)]\tLoss: 130.827240\n",
"Train Epoch: 2 [7680/60000 (13%)]\tLoss: 127.417480\n",
"Train Epoch: 2 [8960/60000 (15%)]\tLoss: 123.688103\n",
"Train Epoch: 2 [10240/60000 (17%)]\tLoss: 123.314568\n",
"Train Epoch: 2 [11520/60000 (19%)]\tLoss: 123.498375\n",
"Train Epoch: 2 [12800/60000 (21%)]\tLoss: 117.846252\n",
"Train Epoch: 2 [14080/60000 (23%)]\tLoss: 123.989044\n",
"Train Epoch: 2 [15360/60000 (26%)]\tLoss: 129.681793\n",
"Train Epoch: 2 [16640/60000 (28%)]\tLoss: 124.992447\n",
"Train Epoch: 2 [17920/60000 (30%)]\tLoss: 123.359924\n",
"Train Epoch: 2 [19200/60000 (32%)]\tLoss: 123.372017\n",
"Train Epoch: 2 [20480/60000 (34%)]\tLoss: 124.202026\n",
"Train Epoch: 2 [21760/60000 (36%)]\tLoss: 120.016785\n",
"Train Epoch: 2 [23040/60000 (38%)]\tLoss: 124.235275\n",
"Train Epoch: 2 [24320/60000 (41%)]\tLoss: 120.800713\n",
"Train Epoch: 2 [25600/60000 (43%)]\tLoss: 118.288155\n",
"Train Epoch: 2 [26880/60000 (45%)]\tLoss: 119.931290\n",
"Train Epoch: 2 [28160/60000 (47%)]\tLoss: 127.153305\n",
"Train Epoch: 2 [29440/60000 (49%)]\tLoss: 119.430267\n",
"Train Epoch: 2 [30720/60000 (51%)]\tLoss: 124.872498\n",
"Train Epoch: 2 [32000/60000 (53%)]\tLoss: 123.524887\n",
"Train Epoch: 2 [33280/60000 (55%)]\tLoss: 120.381859\n",
"Train Epoch: 2 [34560/60000 (58%)]\tLoss: 120.465981\n",
"Train Epoch: 2 [35840/60000 (60%)]\tLoss: 121.635712\n",
"Train Epoch: 2 [37120/60000 (62%)]\tLoss: 119.633728\n",
"Train Epoch: 2 [38400/60000 (64%)]\tLoss: 121.888931\n",
"Train Epoch: 2 [39680/60000 (66%)]\tLoss: 124.120171\n",
"Train Epoch: 2 [40960/60000 (68%)]\tLoss: 116.248535\n",
"Train Epoch: 2 [42240/60000 (70%)]\tLoss: 119.782578\n",
"Train Epoch: 2 [43520/60000 (72%)]\tLoss: 121.517570\n",
"Train Epoch: 2 [44800/60000 (75%)]\tLoss: 119.026840\n",
"Train Epoch: 2 [46080/60000 (77%)]\tLoss: 119.625710\n",
"Train Epoch: 2 [47360/60000 (79%)]\tLoss: 116.303726\n",
"Train Epoch: 2 [48640/60000 (81%)]\tLoss: 117.659103\n",
"Train Epoch: 2 [49920/60000 (83%)]\tLoss: 117.886940\n",
"Train Epoch: 2 [51200/60000 (85%)]\tLoss: 121.932579\n",
"Train Epoch: 2 [52480/60000 (87%)]\tLoss: 117.921448\n",
"Train Epoch: 2 [53760/60000 (90%)]\tLoss: 117.219879\n",
"Train Epoch: 2 [55040/60000 (92%)]\tLoss: 116.422089\n",
"Train Epoch: 2 [56320/60000 (94%)]\tLoss: 115.365814\n",
"Train Epoch: 2 [57600/60000 (96%)]\tLoss: 121.524895\n",
"Train Epoch: 2 [58880/60000 (98%)]\tLoss: 122.131699\n",
"====> Epoch: 2 Average loss: 121.8180\n",
"====> Test set loss: 107.7296\n",
"Train Epoch: 3 [0/60000 (0%)]\tLoss: 114.259689\n",
"Train Epoch: 3 [1280/60000 (2%)]\tLoss: 120.303612\n",
"Train Epoch: 3 [2560/60000 (4%)]\tLoss: 117.328362\n",
"Train Epoch: 3 [3840/60000 (6%)]\tLoss: 122.940559\n",
"Train Epoch: 3 [5120/60000 (9%)]\tLoss: 116.955505\n",
"Train Epoch: 3 [6400/60000 (11%)]\tLoss: 115.965240\n",
"Train Epoch: 3 [7680/60000 (13%)]\tLoss: 123.091278\n",
"Train Epoch: 3 [8960/60000 (15%)]\tLoss: 114.083336\n",
"Train Epoch: 3 [10240/60000 (17%)]\tLoss: 117.527153\n",
"Train Epoch: 3 [11520/60000 (19%)]\tLoss: 118.516029\n",
"Train Epoch: 3 [12800/60000 (21%)]\tLoss: 112.403488\n",
"Train Epoch: 3 [14080/60000 (23%)]\tLoss: 117.802277\n",
"Train Epoch: 3 [15360/60000 (26%)]\tLoss: 112.702003\n",
"Train Epoch: 3 [16640/60000 (28%)]\tLoss: 111.662743\n",
"Train Epoch: 3 [17920/60000 (30%)]\tLoss: 112.479050\n",
"Train Epoch: 3 [19200/60000 (32%)]\tLoss: 113.333961\n",
"Train Epoch: 3 [20480/60000 (34%)]\tLoss: 115.705727\n",
"Train Epoch: 3 [21760/60000 (36%)]\tLoss: 113.263710\n",
"Train Epoch: 3 [23040/60000 (38%)]\tLoss: 115.757492\n",
"Train Epoch: 3 [24320/60000 (41%)]\tLoss: 108.719086\n",
"Train Epoch: 3 [25600/60000 (43%)]\tLoss: 111.830475\n",
"Train Epoch: 3 [26880/60000 (45%)]\tLoss: 111.882195\n",
"Train Epoch: 3 [28160/60000 (47%)]\tLoss: 110.951660\n",
"Train Epoch: 3 [29440/60000 (49%)]\tLoss: 117.175369\n",
"Train Epoch: 3 [30720/60000 (51%)]\tLoss: 115.105484\n",
"Train Epoch: 3 [32000/60000 (53%)]\tLoss: 118.054092\n",
"Train Epoch: 3 [33280/60000 (55%)]\tLoss: 111.678810\n",
"Train Epoch: 3 [34560/60000 (58%)]\tLoss: 117.070663\n",
"Train Epoch: 3 [35840/60000 (60%)]\tLoss: 113.266190\n",
"Train Epoch: 3 [37120/60000 (62%)]\tLoss: 117.670441\n",
"Train Epoch: 3 [38400/60000 (64%)]\tLoss: 114.622025\n",
"Train Epoch: 3 [39680/60000 (66%)]\tLoss: 114.797241\n",
"Train Epoch: 3 [40960/60000 (68%)]\tLoss: 111.846504\n",
"Train Epoch: 3 [42240/60000 (70%)]\tLoss: 109.068733\n",
"Train Epoch: 3 [43520/60000 (72%)]\tLoss: 117.606049\n",
"Train Epoch: 3 [44800/60000 (75%)]\tLoss: 109.772858\n",
"Train Epoch: 3 [46080/60000 (77%)]\tLoss: 113.773125\n",
"Train Epoch: 3 [47360/60000 (79%)]\tLoss: 107.521507\n",
"Train Epoch: 3 [48640/60000 (81%)]\tLoss: 115.856552\n",
"Train Epoch: 3 [49920/60000 (83%)]\tLoss: 114.887611\n",
"Train Epoch: 3 [51200/60000 (85%)]\tLoss: 115.114807\n",
"Train Epoch: 3 [52480/60000 (87%)]\tLoss: 113.629990\n",
"Train Epoch: 3 [53760/60000 (90%)]\tLoss: 111.972092\n",
"Train Epoch: 3 [55040/60000 (92%)]\tLoss: 116.215248\n",
"Train Epoch: 3 [56320/60000 (94%)]\tLoss: 113.304131\n",
"Train Epoch: 3 [57600/60000 (96%)]\tLoss: 110.785873\n",
"Train Epoch: 3 [58880/60000 (98%)]\tLoss: 113.277000\n",
"====> Epoch: 3 Average loss: 114.8583\n",
"====> Test set loss: 103.4848\n",
"Train Epoch: 4 [0/60000 (0%)]\tLoss: 113.172287\n",
"Train Epoch: 4 [1280/60000 (2%)]\tLoss: 110.900436\n",
"Train Epoch: 4 [2560/60000 (4%)]\tLoss: 112.157990\n",
"Train Epoch: 4 [3840/60000 (6%)]\tLoss: 109.830887\n",
"Train Epoch: 4 [5120/60000 (9%)]\tLoss: 111.257080\n",
"Train Epoch: 4 [6400/60000 (11%)]\tLoss: 109.627464\n",
"Train Epoch: 4 [7680/60000 (13%)]\tLoss: 114.158508\n",
"Train Epoch: 4 [8960/60000 (15%)]\tLoss: 113.868080\n",
"Train Epoch: 4 [10240/60000 (17%)]\tLoss: 112.876633\n",
"Train Epoch: 4 [11520/60000 (19%)]\tLoss: 118.054955\n",
"Train Epoch: 4 [12800/60000 (21%)]\tLoss: 111.124634\n",
"Train Epoch: 4 [14080/60000 (23%)]\tLoss: 113.262863\n",
"Train Epoch: 4 [15360/60000 (26%)]\tLoss: 111.114029\n",
"Train Epoch: 4 [16640/60000 (28%)]\tLoss: 112.314186\n",
"Train Epoch: 4 [17920/60000 (30%)]\tLoss: 114.760971\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 4 [19200/60000 (32%)]\tLoss: 109.984756\n",
"Train Epoch: 4 [20480/60000 (34%)]\tLoss: 116.848366\n",
"Train Epoch: 4 [21760/60000 (36%)]\tLoss: 110.976196\n",
"Train Epoch: 4 [23040/60000 (38%)]\tLoss: 107.471008\n",
"Train Epoch: 4 [24320/60000 (41%)]\tLoss: 112.519722\n",
"Train Epoch: 4 [25600/60000 (43%)]\tLoss: 114.255554\n",
"Train Epoch: 4 [26880/60000 (45%)]\tLoss: 110.577286\n",
"Train Epoch: 4 [28160/60000 (47%)]\tLoss: 112.086960\n",
"Train Epoch: 4 [29440/60000 (49%)]\tLoss: 110.318008\n",
"Train Epoch: 4 [30720/60000 (51%)]\tLoss: 112.957779\n",
"Train Epoch: 4 [32000/60000 (53%)]\tLoss: 111.112328\n",
"Train Epoch: 4 [33280/60000 (55%)]\tLoss: 111.527733\n",
"Train Epoch: 4 [34560/60000 (58%)]\tLoss: 108.783524\n",
"Train Epoch: 4 [35840/60000 (60%)]\tLoss: 111.771484\n",
"Train Epoch: 4 [37120/60000 (62%)]\tLoss: 112.851357\n",
"Train Epoch: 4 [38400/60000 (64%)]\tLoss: 109.405014\n",
"Train Epoch: 4 [39680/60000 (66%)]\tLoss: 112.178040\n",
"Train Epoch: 4 [40960/60000 (68%)]\tLoss: 115.947433\n",
"Train Epoch: 4 [42240/60000 (70%)]\tLoss: 109.862259\n",
"Train Epoch: 4 [43520/60000 (72%)]\tLoss: 109.633888\n",
"Train Epoch: 4 [44800/60000 (75%)]\tLoss: 111.398193\n",
"Train Epoch: 4 [46080/60000 (77%)]\tLoss: 110.793289\n",
"Train Epoch: 4 [47360/60000 (79%)]\tLoss: 110.193253\n",
"Train Epoch: 4 [48640/60000 (81%)]\tLoss: 113.032997\n",
"Train Epoch: 4 [49920/60000 (83%)]\tLoss: 109.435211\n",
"Train Epoch: 4 [51200/60000 (85%)]\tLoss: 114.906647\n",
"Train Epoch: 4 [52480/60000 (87%)]\tLoss: 112.102020\n",
"Train Epoch: 4 [53760/60000 (90%)]\tLoss: 111.021484\n",
"Train Epoch: 4 [55040/60000 (92%)]\tLoss: 110.293991\n",
"Train Epoch: 4 [56320/60000 (94%)]\tLoss: 110.483200\n",
"Train Epoch: 4 [57600/60000 (96%)]\tLoss: 109.306580\n",
"Train Epoch: 4 [58880/60000 (98%)]\tLoss: 109.566124\n",
"====> Epoch: 4 Average loss: 111.7421\n",
"====> Test set loss: 101.5550\n",
"Train Epoch: 5 [0/60000 (0%)]\tLoss: 108.663170\n",
"Train Epoch: 5 [1280/60000 (2%)]\tLoss: 106.591766\n",
"Train Epoch: 5 [2560/60000 (4%)]\tLoss: 108.221275\n",
"Train Epoch: 5 [3840/60000 (6%)]\tLoss: 109.425400\n",
"Train Epoch: 5 [5120/60000 (9%)]\tLoss: 111.882614\n",
"Train Epoch: 5 [6400/60000 (11%)]\tLoss: 111.400368\n",
"Train Epoch: 5 [7680/60000 (13%)]\tLoss: 108.525299\n",
"Train Epoch: 5 [8960/60000 (15%)]\tLoss: 110.255013\n",
"Train Epoch: 5 [10240/60000 (17%)]\tLoss: 109.039978\n",
"Train Epoch: 5 [11520/60000 (19%)]\tLoss: 110.386528\n",
"Train Epoch: 5 [12800/60000 (21%)]\tLoss: 115.611717\n",
"Train Epoch: 5 [14080/60000 (23%)]\tLoss: 110.929489\n",
"Train Epoch: 5 [15360/60000 (26%)]\tLoss: 108.216827\n",
"Train Epoch: 5 [16640/60000 (28%)]\tLoss: 113.131813\n",
"Train Epoch: 5 [17920/60000 (30%)]\tLoss: 115.028534\n",
"Train Epoch: 5 [19200/60000 (32%)]\tLoss: 115.625626\n",
"Train Epoch: 5 [20480/60000 (34%)]\tLoss: 105.119675\n",
"Train Epoch: 5 [21760/60000 (36%)]\tLoss: 109.873428\n",
"Train Epoch: 5 [23040/60000 (38%)]\tLoss: 109.040817\n",
"Train Epoch: 5 [24320/60000 (41%)]\tLoss: 108.872887\n",
"Train Epoch: 5 [25600/60000 (43%)]\tLoss: 109.590607\n",
"Train Epoch: 5 [26880/60000 (45%)]\tLoss: 109.470520\n",
"Train Epoch: 5 [28160/60000 (47%)]\tLoss: 104.530884\n",
"Train Epoch: 5 [29440/60000 (49%)]\tLoss: 107.031921\n",
"Train Epoch: 5 [30720/60000 (51%)]\tLoss: 112.272881\n",
"Train Epoch: 5 [32000/60000 (53%)]\tLoss: 112.119385\n",
"Train Epoch: 5 [33280/60000 (55%)]\tLoss: 111.157600\n",
"Train Epoch: 5 [34560/60000 (58%)]\tLoss: 112.275650\n",
"Train Epoch: 5 [35840/60000 (60%)]\tLoss: 111.078362\n",
"Train Epoch: 5 [37120/60000 (62%)]\tLoss: 106.756142\n",
"Train Epoch: 5 [38400/60000 (64%)]\tLoss: 109.883987\n",
"Train Epoch: 5 [39680/60000 (66%)]\tLoss: 104.465500\n",
"Train Epoch: 5 [40960/60000 (68%)]\tLoss: 104.696945\n",
"Train Epoch: 5 [42240/60000 (70%)]\tLoss: 109.707893\n",
"Train Epoch: 5 [43520/60000 (72%)]\tLoss: 113.718925\n",
"Train Epoch: 5 [44800/60000 (75%)]\tLoss: 105.354424\n",
"Train Epoch: 5 [46080/60000 (77%)]\tLoss: 108.899490\n",
"Train Epoch: 5 [47360/60000 (79%)]\tLoss: 114.758759\n",
"Train Epoch: 5 [48640/60000 (81%)]\tLoss: 111.550568\n",
"Train Epoch: 5 [49920/60000 (83%)]\tLoss: 112.813309\n",
"Train Epoch: 5 [51200/60000 (85%)]\tLoss: 109.547592\n",
"Train Epoch: 5 [52480/60000 (87%)]\tLoss: 108.223625\n",
"Train Epoch: 5 [53760/60000 (90%)]\tLoss: 109.469604\n",
"Train Epoch: 5 [55040/60000 (92%)]\tLoss: 110.218323\n",
"Train Epoch: 5 [56320/60000 (94%)]\tLoss: 109.217346\n",
"Train Epoch: 5 [57600/60000 (96%)]\tLoss: 112.109947\n",
"Train Epoch: 5 [58880/60000 (98%)]\tLoss: 109.551979\n",
"====> Epoch: 5 Average loss: 109.9649\n",
"====> Test set loss: 99.5341\n",
"Train Epoch: 6 [0/60000 (0%)]\tLoss: 107.917336\n",
"Train Epoch: 6 [1280/60000 (2%)]\tLoss: 107.553833\n",
"Train Epoch: 6 [2560/60000 (4%)]\tLoss: 111.929672\n",
"Train Epoch: 6 [3840/60000 (6%)]\tLoss: 107.087036\n",
"Train Epoch: 6 [5120/60000 (9%)]\tLoss: 108.183197\n",
"Train Epoch: 6 [6400/60000 (11%)]\tLoss: 110.167580\n",
"Train Epoch: 6 [7680/60000 (13%)]\tLoss: 112.047638\n",
"Train Epoch: 6 [8960/60000 (15%)]\tLoss: 113.671555\n",
"Train Epoch: 6 [10240/60000 (17%)]\tLoss: 108.936752\n",
"Train Epoch: 6 [11520/60000 (19%)]\tLoss: 109.251587\n",
"Train Epoch: 6 [12800/60000 (21%)]\tLoss: 105.882553\n",
"Train Epoch: 6 [14080/60000 (23%)]\tLoss: 107.058075\n",
"Train Epoch: 6 [15360/60000 (26%)]\tLoss: 104.879112\n",
"Train Epoch: 6 [16640/60000 (28%)]\tLoss: 105.404083\n",
"Train Epoch: 6 [17920/60000 (30%)]\tLoss: 108.785896\n",
"Train Epoch: 6 [19200/60000 (32%)]\tLoss: 108.646072\n",
"Train Epoch: 6 [20480/60000 (34%)]\tLoss: 110.707764\n",
"Train Epoch: 6 [21760/60000 (36%)]\tLoss: 108.464294\n",
"Train Epoch: 6 [23040/60000 (38%)]\tLoss: 109.255638\n",
"Train Epoch: 6 [24320/60000 (41%)]\tLoss: 104.886993\n",
"Train Epoch: 6 [25600/60000 (43%)]\tLoss: 108.637802\n",
"Train Epoch: 6 [26880/60000 (45%)]\tLoss: 112.214539\n",
"Train Epoch: 6 [28160/60000 (47%)]\tLoss: 109.759880\n",
"Train Epoch: 6 [29440/60000 (49%)]\tLoss: 110.400909\n",
"Train Epoch: 6 [30720/60000 (51%)]\tLoss: 104.066086\n",
"Train Epoch: 6 [32000/60000 (53%)]\tLoss: 112.409546\n",
"Train Epoch: 6 [33280/60000 (55%)]\tLoss: 109.431717\n",
"Train Epoch: 6 [34560/60000 (58%)]\tLoss: 107.731056\n",
"Train Epoch: 6 [35840/60000 (60%)]\tLoss: 105.532562\n",
"Train Epoch: 6 [37120/60000 (62%)]\tLoss: 105.665886\n",
"Train Epoch: 6 [38400/60000 (64%)]\tLoss: 111.413818\n",
"Train Epoch: 6 [39680/60000 (66%)]\tLoss: 109.723083\n",
"Train Epoch: 6 [40960/60000 (68%)]\tLoss: 107.282066\n",
"Train Epoch: 6 [42240/60000 (70%)]\tLoss: 110.804352\n",
"Train Epoch: 6 [43520/60000 (72%)]\tLoss: 104.656555\n",
"Train Epoch: 6 [44800/60000 (75%)]\tLoss: 111.926590\n",
"Train Epoch: 6 [46080/60000 (77%)]\tLoss: 110.138046\n",
"Train Epoch: 6 [47360/60000 (79%)]\tLoss: 108.441963\n",
"Train Epoch: 6 [48640/60000 (81%)]\tLoss: 110.904121\n",
"Train Epoch: 6 [49920/60000 (83%)]\tLoss: 110.383499\n",
"Train Epoch: 6 [51200/60000 (85%)]\tLoss: 108.743813\n",
"Train Epoch: 6 [52480/60000 (87%)]\tLoss: 107.073944\n",
"Train Epoch: 6 [53760/60000 (90%)]\tLoss: 108.873596\n",
"Train Epoch: 6 [55040/60000 (92%)]\tLoss: 104.590256\n",
"Train Epoch: 6 [56320/60000 (94%)]\tLoss: 111.003754\n",
"Train Epoch: 6 [57600/60000 (96%)]\tLoss: 109.115219\n",
"Train Epoch: 6 [58880/60000 (98%)]\tLoss: 110.024963\n",
"====> Epoch: 6 Average loss: 108.8043\n",
"====> Test set loss: 98.9453\n",
"Train Epoch: 7 [0/60000 (0%)]\tLoss: 107.335709\n",
"Train Epoch: 7 [1280/60000 (2%)]\tLoss: 110.553520\n",
"Train Epoch: 7 [2560/60000 (4%)]\tLoss: 110.177643\n",
"Train Epoch: 7 [3840/60000 (6%)]\tLoss: 106.400764\n",
"Train Epoch: 7 [5120/60000 (9%)]\tLoss: 104.844414\n",
"Train Epoch: 7 [6400/60000 (11%)]\tLoss: 105.409256\n",
"Train Epoch: 7 [7680/60000 (13%)]\tLoss: 112.032341\n",
"Train Epoch: 7 [8960/60000 (15%)]\tLoss: 106.800240\n",
"Train Epoch: 7 [10240/60000 (17%)]\tLoss: 107.040993\n",
"Train Epoch: 7 [11520/60000 (19%)]\tLoss: 109.442650\n",
"Train Epoch: 7 [12800/60000 (21%)]\tLoss: 109.337006\n",
"Train Epoch: 7 [14080/60000 (23%)]\tLoss: 108.837997\n",
"Train Epoch: 7 [15360/60000 (26%)]\tLoss: 104.867737\n",
"Train Epoch: 7 [16640/60000 (28%)]\tLoss: 111.632080\n",
"Train Epoch: 7 [17920/60000 (30%)]\tLoss: 107.884918\n",
"Train Epoch: 7 [19200/60000 (32%)]\tLoss: 108.265205\n",
"Train Epoch: 7 [20480/60000 (34%)]\tLoss: 109.442841\n",
"Train Epoch: 7 [21760/60000 (36%)]\tLoss: 107.111588\n",
"Train Epoch: 7 [23040/60000 (38%)]\tLoss: 109.334785\n",
"Train Epoch: 7 [24320/60000 (41%)]\tLoss: 106.476204\n",
"Train Epoch: 7 [25600/60000 (43%)]\tLoss: 110.467133\n",
"Train Epoch: 7 [26880/60000 (45%)]\tLoss: 106.856506\n",
"Train Epoch: 7 [28160/60000 (47%)]\tLoss: 109.023659\n",
"Train Epoch: 7 [29440/60000 (49%)]\tLoss: 110.628616\n",
"Train Epoch: 7 [30720/60000 (51%)]\tLoss: 108.694527\n",
"Train Epoch: 7 [32000/60000 (53%)]\tLoss: 109.557632\n",
"Train Epoch: 7 [33280/60000 (55%)]\tLoss: 103.137177\n",
"Train Epoch: 7 [34560/60000 (58%)]\tLoss: 106.376190\n",
"Train Epoch: 7 [35840/60000 (60%)]\tLoss: 103.434387\n",
"Train Epoch: 7 [37120/60000 (62%)]\tLoss: 107.319229\n",
"Train Epoch: 7 [38400/60000 (64%)]\tLoss: 104.783478\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 7 [39680/60000 (66%)]\tLoss: 105.148766\n",
"Train Epoch: 7 [40960/60000 (68%)]\tLoss: 110.684441\n",
"Train Epoch: 7 [42240/60000 (70%)]\tLoss: 109.411102\n",
"Train Epoch: 7 [43520/60000 (72%)]\tLoss: 106.775795\n",
"Train Epoch: 7 [44800/60000 (75%)]\tLoss: 105.941856\n",
"Train Epoch: 7 [46080/60000 (77%)]\tLoss: 108.177391\n",
"Train Epoch: 7 [47360/60000 (79%)]\tLoss: 109.369194\n",
"Train Epoch: 7 [48640/60000 (81%)]\tLoss: 107.160065\n",
"Train Epoch: 7 [49920/60000 (83%)]\tLoss: 112.412025\n",
"Train Epoch: 7 [51200/60000 (85%)]\tLoss: 109.935173\n",
"Train Epoch: 7 [52480/60000 (87%)]\tLoss: 107.117233\n",
"Train Epoch: 7 [53760/60000 (90%)]\tLoss: 109.618042\n",
"Train Epoch: 7 [55040/60000 (92%)]\tLoss: 103.843658\n",
"Train Epoch: 7 [56320/60000 (94%)]\tLoss: 104.839111\n",
"Train Epoch: 7 [57600/60000 (96%)]\tLoss: 108.919342\n",
"Train Epoch: 7 [58880/60000 (98%)]\tLoss: 110.070862\n",
"====> Epoch: 7 Average loss: 107.9102\n",
"====> Test set loss: 98.4343\n",
"Train Epoch: 8 [0/60000 (0%)]\tLoss: 109.113083\n",
"Train Epoch: 8 [1280/60000 (2%)]\tLoss: 113.832886\n",
"Train Epoch: 8 [2560/60000 (4%)]\tLoss: 107.536285\n",
"Train Epoch: 8 [3840/60000 (6%)]\tLoss: 109.369614\n",
"Train Epoch: 8 [5120/60000 (9%)]\tLoss: 104.806107\n",
"Train Epoch: 8 [6400/60000 (11%)]\tLoss: 106.430359\n",
"Train Epoch: 8 [7680/60000 (13%)]\tLoss: 106.440758\n",
"Train Epoch: 8 [8960/60000 (15%)]\tLoss: 108.170517\n",
"Train Epoch: 8 [10240/60000 (17%)]\tLoss: 110.063568\n",
"Train Epoch: 8 [11520/60000 (19%)]\tLoss: 107.431541\n",
"Train Epoch: 8 [12800/60000 (21%)]\tLoss: 110.232468\n",
"Train Epoch: 8 [14080/60000 (23%)]\tLoss: 111.136917\n",
"Train Epoch: 8 [15360/60000 (26%)]\tLoss: 106.502243\n",
"Train Epoch: 8 [16640/60000 (28%)]\tLoss: 106.005386\n",
"Train Epoch: 8 [17920/60000 (30%)]\tLoss: 108.577316\n",
"Train Epoch: 8 [19200/60000 (32%)]\tLoss: 105.963730\n",
"Train Epoch: 8 [20480/60000 (34%)]\tLoss: 107.422470\n",
"Train Epoch: 8 [21760/60000 (36%)]\tLoss: 108.239670\n",
"Train Epoch: 8 [23040/60000 (38%)]\tLoss: 106.862686\n",
"Train Epoch: 8 [24320/60000 (41%)]\tLoss: 104.192780\n",
"Train Epoch: 8 [25600/60000 (43%)]\tLoss: 101.469238\n",
"Train Epoch: 8 [26880/60000 (45%)]\tLoss: 107.322990\n",
"Train Epoch: 8 [28160/60000 (47%)]\tLoss: 103.829979\n",
"Train Epoch: 8 [29440/60000 (49%)]\tLoss: 105.685547\n",
"Train Epoch: 8 [30720/60000 (51%)]\tLoss: 108.994125\n",
"Train Epoch: 8 [32000/60000 (53%)]\tLoss: 110.753464\n",
"Train Epoch: 8 [33280/60000 (55%)]\tLoss: 110.730789\n",
"Train Epoch: 8 [34560/60000 (58%)]\tLoss: 106.806778\n",
"Train Epoch: 8 [35840/60000 (60%)]\tLoss: 109.730446\n",
"Train Epoch: 8 [37120/60000 (62%)]\tLoss: 106.572433\n",
"Train Epoch: 8 [38400/60000 (64%)]\tLoss: 106.890182\n",
"Train Epoch: 8 [39680/60000 (66%)]\tLoss: 104.437416\n",
"Train Epoch: 8 [40960/60000 (68%)]\tLoss: 108.409813\n",
"Train Epoch: 8 [42240/60000 (70%)]\tLoss: 109.695068\n",
"Train Epoch: 8 [43520/60000 (72%)]\tLoss: 106.113594\n",
"Train Epoch: 8 [44800/60000 (75%)]\tLoss: 110.255493\n",
"Train Epoch: 8 [46080/60000 (77%)]\tLoss: 108.612991\n",
"Train Epoch: 8 [47360/60000 (79%)]\tLoss: 108.792976\n",
"Train Epoch: 8 [48640/60000 (81%)]\tLoss: 108.045921\n",
"Train Epoch: 8 [49920/60000 (83%)]\tLoss: 109.468674\n",
"Train Epoch: 8 [51200/60000 (85%)]\tLoss: 101.034096\n",
"Train Epoch: 8 [52480/60000 (87%)]\tLoss: 108.463318\n",
"Train Epoch: 8 [53760/60000 (90%)]\tLoss: 102.078636\n",
"Train Epoch: 8 [55040/60000 (92%)]\tLoss: 106.326599\n",
"Train Epoch: 8 [56320/60000 (94%)]\tLoss: 109.102821\n",
"Train Epoch: 8 [57600/60000 (96%)]\tLoss: 111.333588\n",
"Train Epoch: 8 [58880/60000 (98%)]\tLoss: 103.811279\n",
"====> Epoch: 8 Average loss: 107.2421\n",
"====> Test set loss: 97.7770\n",
"Train Epoch: 9 [0/60000 (0%)]\tLoss: 103.022644\n",
"Train Epoch: 9 [1280/60000 (2%)]\tLoss: 105.175064\n",
"Train Epoch: 9 [2560/60000 (4%)]\tLoss: 110.411278\n",
"Train Epoch: 9 [3840/60000 (6%)]\tLoss: 110.675446\n",
"Train Epoch: 9 [5120/60000 (9%)]\tLoss: 109.553185\n",
"Train Epoch: 9 [6400/60000 (11%)]\tLoss: 107.345856\n",
"Train Epoch: 9 [7680/60000 (13%)]\tLoss: 106.369461\n",
"Train Epoch: 9 [8960/60000 (15%)]\tLoss: 103.550659\n",
"Train Epoch: 9 [10240/60000 (17%)]\tLoss: 103.822197\n",
"Train Epoch: 9 [11520/60000 (19%)]\tLoss: 108.667213\n",
"Train Epoch: 9 [12800/60000 (21%)]\tLoss: 111.335732\n",
"Train Epoch: 9 [14080/60000 (23%)]\tLoss: 105.675804\n",
"Train Epoch: 9 [15360/60000 (26%)]\tLoss: 107.690269\n",
"Train Epoch: 9 [16640/60000 (28%)]\tLoss: 105.614044\n",
"Train Epoch: 9 [17920/60000 (30%)]\tLoss: 102.394104\n",
"Train Epoch: 9 [19200/60000 (32%)]\tLoss: 107.430115\n",
"Train Epoch: 9 [20480/60000 (34%)]\tLoss: 108.685989\n",
"Train Epoch: 9 [21760/60000 (36%)]\tLoss: 104.149834\n",
"Train Epoch: 9 [23040/60000 (38%)]\tLoss: 106.091904\n",
"Train Epoch: 9 [24320/60000 (41%)]\tLoss: 106.778732\n",
"Train Epoch: 9 [25600/60000 (43%)]\tLoss: 105.501579\n",
"Train Epoch: 9 [26880/60000 (45%)]\tLoss: 107.878014\n",
"Train Epoch: 9 [28160/60000 (47%)]\tLoss: 108.426575\n",
"Train Epoch: 9 [29440/60000 (49%)]\tLoss: 104.126770\n",
"Train Epoch: 9 [30720/60000 (51%)]\tLoss: 102.117920\n",
"Train Epoch: 9 [32000/60000 (53%)]\tLoss: 110.245407\n",
"Train Epoch: 9 [33280/60000 (55%)]\tLoss: 103.493301\n",
"Train Epoch: 9 [34560/60000 (58%)]\tLoss: 104.105637\n",
"Train Epoch: 9 [35840/60000 (60%)]\tLoss: 111.480186\n",
"Train Epoch: 9 [37120/60000 (62%)]\tLoss: 104.188644\n",
"Train Epoch: 9 [38400/60000 (64%)]\tLoss: 105.780212\n",
"Train Epoch: 9 [39680/60000 (66%)]\tLoss: 107.498283\n",
"Train Epoch: 9 [40960/60000 (68%)]\tLoss: 108.667236\n",
"Train Epoch: 9 [42240/60000 (70%)]\tLoss: 109.580673\n",
"Train Epoch: 9 [43520/60000 (72%)]\tLoss: 104.998825\n",
"Train Epoch: 9 [44800/60000 (75%)]\tLoss: 107.829697\n",
"Train Epoch: 9 [46080/60000 (77%)]\tLoss: 103.166580\n",
"Train Epoch: 9 [47360/60000 (79%)]\tLoss: 107.603363\n",
"Train Epoch: 9 [48640/60000 (81%)]\tLoss: 105.192429\n",
"Train Epoch: 9 [49920/60000 (83%)]\tLoss: 107.205673\n",
"Train Epoch: 9 [51200/60000 (85%)]\tLoss: 107.235771\n",
"Train Epoch: 9 [52480/60000 (87%)]\tLoss: 106.102341\n",
"Train Epoch: 9 [53760/60000 (90%)]\tLoss: 103.169601\n",
"Train Epoch: 9 [55040/60000 (92%)]\tLoss: 104.754944\n",
"Train Epoch: 9 [56320/60000 (94%)]\tLoss: 109.460716\n",
"Train Epoch: 9 [57600/60000 (96%)]\tLoss: 109.070259\n",
"Train Epoch: 9 [58880/60000 (98%)]\tLoss: 109.794022\n",
"====> Epoch: 9 Average loss: 106.7800\n",
"====> Test set loss: 97.1434\n",
"Train Epoch: 10 [0/60000 (0%)]\tLoss: 107.704102\n",
"Train Epoch: 10 [1280/60000 (2%)]\tLoss: 108.739487\n",
"Train Epoch: 10 [2560/60000 (4%)]\tLoss: 106.745422\n",
"Train Epoch: 10 [3840/60000 (6%)]\tLoss: 108.950409\n",
"Train Epoch: 10 [5120/60000 (9%)]\tLoss: 104.930740\n",
"Train Epoch: 10 [6400/60000 (11%)]\tLoss: 102.267883\n",
"Train Epoch: 10 [7680/60000 (13%)]\tLoss: 102.279221\n",
"Train Epoch: 10 [8960/60000 (15%)]\tLoss: 106.520020\n",
"Train Epoch: 10 [10240/60000 (17%)]\tLoss: 109.078232\n",
"Train Epoch: 10 [11520/60000 (19%)]\tLoss: 105.243088\n",
"Train Epoch: 10 [12800/60000 (21%)]\tLoss: 110.192825\n",
"Train Epoch: 10 [14080/60000 (23%)]\tLoss: 107.535202\n",
"Train Epoch: 10 [15360/60000 (26%)]\tLoss: 103.754242\n",
"Train Epoch: 10 [16640/60000 (28%)]\tLoss: 107.388145\n",
"Train Epoch: 10 [17920/60000 (30%)]\tLoss: 107.205811\n",
"Train Epoch: 10 [19200/60000 (32%)]\tLoss: 103.850540\n",
"Train Epoch: 10 [20480/60000 (34%)]\tLoss: 108.706886\n",
"Train Epoch: 10 [21760/60000 (36%)]\tLoss: 106.134933\n",
"Train Epoch: 10 [23040/60000 (38%)]\tLoss: 105.803246\n",
"Train Epoch: 10 [24320/60000 (41%)]\tLoss: 107.060379\n",
"Train Epoch: 10 [25600/60000 (43%)]\tLoss: 108.359108\n",
"Train Epoch: 10 [26880/60000 (45%)]\tLoss: 109.187988\n",
"Train Epoch: 10 [28160/60000 (47%)]\tLoss: 109.892410\n",
"Train Epoch: 10 [29440/60000 (49%)]\tLoss: 109.201202\n",
"Train Epoch: 10 [30720/60000 (51%)]\tLoss: 107.692917\n",
"Train Epoch: 10 [32000/60000 (53%)]\tLoss: 108.407181\n",
"Train Epoch: 10 [33280/60000 (55%)]\tLoss: 103.777328\n",
"Train Epoch: 10 [34560/60000 (58%)]\tLoss: 105.149704\n",
"Train Epoch: 10 [35840/60000 (60%)]\tLoss: 104.702110\n",
"Train Epoch: 10 [37120/60000 (62%)]\tLoss: 107.146866\n",
"Train Epoch: 10 [38400/60000 (64%)]\tLoss: 104.081421\n",
"Train Epoch: 10 [39680/60000 (66%)]\tLoss: 104.432785\n",
"Train Epoch: 10 [40960/60000 (68%)]\tLoss: 106.000496\n",
"Train Epoch: 10 [42240/60000 (70%)]\tLoss: 104.544151\n",
"Train Epoch: 10 [43520/60000 (72%)]\tLoss: 106.336967\n",
"Train Epoch: 10 [44800/60000 (75%)]\tLoss: 107.138321\n",
"Train Epoch: 10 [46080/60000 (77%)]\tLoss: 107.886337\n",
"Train Epoch: 10 [47360/60000 (79%)]\tLoss: 106.370667\n",
"Train Epoch: 10 [48640/60000 (81%)]\tLoss: 104.327133\n",
"Train Epoch: 10 [49920/60000 (83%)]\tLoss: 106.997902\n",
"Train Epoch: 10 [51200/60000 (85%)]\tLoss: 108.262131\n",
"Train Epoch: 10 [52480/60000 (87%)]\tLoss: 102.644714\n",
"Train Epoch: 10 [53760/60000 (90%)]\tLoss: 104.113586\n",
"Train Epoch: 10 [55040/60000 (92%)]\tLoss: 108.289139\n",
"Train Epoch: 10 [56320/60000 (94%)]\tLoss: 106.929329\n",
"Train Epoch: 10 [57600/60000 (96%)]\tLoss: 107.758842\n",
"Train Epoch: 10 [58880/60000 (98%)]\tLoss: 103.773216\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Epoch: 10 Average loss: 106.3531\n",
"====> Test set loss: 97.3019\n",
"Train Epoch: 11 [0/60000 (0%)]\tLoss: 106.525543\n",
"Train Epoch: 11 [1280/60000 (2%)]\tLoss: 102.734016\n",
"Train Epoch: 11 [2560/60000 (4%)]\tLoss: 106.201797\n",
"Train Epoch: 11 [3840/60000 (6%)]\tLoss: 108.569252\n",
"Train Epoch: 11 [5120/60000 (9%)]\tLoss: 106.132309\n",
"Train Epoch: 11 [6400/60000 (11%)]\tLoss: 102.984039\n",
"Train Epoch: 11 [7680/60000 (13%)]\tLoss: 107.818916\n",
"Train Epoch: 11 [8960/60000 (15%)]\tLoss: 108.064209\n",
"Train Epoch: 11 [10240/60000 (17%)]\tLoss: 103.380325\n",
"Train Epoch: 11 [11520/60000 (19%)]\tLoss: 106.284035\n",
"Train Epoch: 11 [12800/60000 (21%)]\tLoss: 104.620590\n",
"Train Epoch: 11 [14080/60000 (23%)]\tLoss: 107.466499\n",
"Train Epoch: 11 [15360/60000 (26%)]\tLoss: 107.569992\n",
"Train Epoch: 11 [16640/60000 (28%)]\tLoss: 103.439651\n",
"Train Epoch: 11 [17920/60000 (30%)]\tLoss: 112.589569\n",
"Train Epoch: 11 [19200/60000 (32%)]\tLoss: 106.457016\n",
"Train Epoch: 11 [20480/60000 (34%)]\tLoss: 110.336731\n",
"Train Epoch: 11 [21760/60000 (36%)]\tLoss: 102.122559\n",
"Train Epoch: 11 [23040/60000 (38%)]\tLoss: 109.325867\n",
"Train Epoch: 11 [24320/60000 (41%)]\tLoss: 103.203827\n",
"Train Epoch: 11 [25600/60000 (43%)]\tLoss: 104.344009\n",
"Train Epoch: 11 [26880/60000 (45%)]\tLoss: 106.374619\n",
"Train Epoch: 11 [28160/60000 (47%)]\tLoss: 104.800552\n",
"Train Epoch: 11 [29440/60000 (49%)]\tLoss: 106.692314\n",
"Train Epoch: 11 [30720/60000 (51%)]\tLoss: 104.958893\n",
"Train Epoch: 11 [32000/60000 (53%)]\tLoss: 105.289413\n",
"Train Epoch: 11 [33280/60000 (55%)]\tLoss: 104.662453\n",
"Train Epoch: 11 [34560/60000 (58%)]\tLoss: 105.840904\n",
"Train Epoch: 11 [35840/60000 (60%)]\tLoss: 108.014725\n",
"Train Epoch: 11 [37120/60000 (62%)]\tLoss: 107.611717\n",
"Train Epoch: 11 [38400/60000 (64%)]\tLoss: 108.126923\n",
"Train Epoch: 11 [39680/60000 (66%)]\tLoss: 107.182610\n",
"Train Epoch: 11 [40960/60000 (68%)]\tLoss: 108.893753\n",
"Train Epoch: 11 [42240/60000 (70%)]\tLoss: 107.192245\n",
"Train Epoch: 11 [43520/60000 (72%)]\tLoss: 105.741455\n",
"Train Epoch: 11 [44800/60000 (75%)]\tLoss: 106.918396\n",
"Train Epoch: 11 [46080/60000 (77%)]\tLoss: 108.655594\n",
"Train Epoch: 11 [47360/60000 (79%)]\tLoss: 105.118210\n",
"Train Epoch: 11 [48640/60000 (81%)]\tLoss: 97.172867\n",
"Train Epoch: 11 [49920/60000 (83%)]\tLoss: 105.260315\n",
"Train Epoch: 11 [51200/60000 (85%)]\tLoss: 104.448975\n",
"Train Epoch: 11 [52480/60000 (87%)]\tLoss: 104.772049\n",
"Train Epoch: 11 [53760/60000 (90%)]\tLoss: 107.348396\n",
"Train Epoch: 11 [55040/60000 (92%)]\tLoss: 101.861153\n",
"Train Epoch: 11 [56320/60000 (94%)]\tLoss: 106.816147\n",
"Train Epoch: 11 [57600/60000 (96%)]\tLoss: 105.222595\n",
"Train Epoch: 11 [58880/60000 (98%)]\tLoss: 104.378098\n",
"====> Epoch: 11 Average loss: 105.9420\n",
"====> Test set loss: 96.7151\n",
"Train Epoch: 12 [0/60000 (0%)]\tLoss: 105.428398\n",
"Train Epoch: 12 [1280/60000 (2%)]\tLoss: 102.738632\n",
"Train Epoch: 12 [2560/60000 (4%)]\tLoss: 101.114014\n",
"Train Epoch: 12 [3840/60000 (6%)]\tLoss: 106.381218\n",
"Train Epoch: 12 [5120/60000 (9%)]\tLoss: 107.687141\n",
"Train Epoch: 12 [6400/60000 (11%)]\tLoss: 106.864471\n",
"Train Epoch: 12 [7680/60000 (13%)]\tLoss: 107.642288\n",
"Train Epoch: 12 [8960/60000 (15%)]\tLoss: 106.610283\n",
"Train Epoch: 12 [10240/60000 (17%)]\tLoss: 107.772598\n",
"Train Epoch: 12 [11520/60000 (19%)]\tLoss: 107.022003\n",
"Train Epoch: 12 [12800/60000 (21%)]\tLoss: 102.423035\n",
"Train Epoch: 12 [14080/60000 (23%)]\tLoss: 102.023209\n",
"Train Epoch: 12 [15360/60000 (26%)]\tLoss: 103.238510\n",
"Train Epoch: 12 [16640/60000 (28%)]\tLoss: 108.185478\n",
"Train Epoch: 12 [17920/60000 (30%)]\tLoss: 107.703850\n",
"Train Epoch: 12 [19200/60000 (32%)]\tLoss: 103.469208\n",
"Train Epoch: 12 [20480/60000 (34%)]\tLoss: 104.402794\n",
"Train Epoch: 12 [21760/60000 (36%)]\tLoss: 104.900810\n",
"Train Epoch: 12 [23040/60000 (38%)]\tLoss: 103.562531\n",
"Train Epoch: 12 [24320/60000 (41%)]\tLoss: 108.278412\n",
"Train Epoch: 12 [25600/60000 (43%)]\tLoss: 109.044220\n",
"Train Epoch: 12 [26880/60000 (45%)]\tLoss: 105.909576\n",
"Train Epoch: 12 [28160/60000 (47%)]\tLoss: 104.924316\n",
"Train Epoch: 12 [29440/60000 (49%)]\tLoss: 104.545807\n",
"Train Epoch: 12 [30720/60000 (51%)]\tLoss: 105.381454\n",
"Train Epoch: 12 [32000/60000 (53%)]\tLoss: 103.253265\n",
"Train Epoch: 12 [33280/60000 (55%)]\tLoss: 101.921410\n",
"Train Epoch: 12 [34560/60000 (58%)]\tLoss: 102.749977\n",
"Train Epoch: 12 [35840/60000 (60%)]\tLoss: 104.184677\n",
"Train Epoch: 12 [37120/60000 (62%)]\tLoss: 107.689774\n",
"Train Epoch: 12 [38400/60000 (64%)]\tLoss: 107.080292\n",
"Train Epoch: 12 [39680/60000 (66%)]\tLoss: 104.405136\n",
"Train Epoch: 12 [40960/60000 (68%)]\tLoss: 103.737740\n",
"Train Epoch: 12 [42240/60000 (70%)]\tLoss: 104.501328\n",
"Train Epoch: 12 [43520/60000 (72%)]\tLoss: 105.297592\n",
"Train Epoch: 12 [44800/60000 (75%)]\tLoss: 104.517059\n",
"Train Epoch: 12 [46080/60000 (77%)]\tLoss: 105.678406\n",
"Train Epoch: 12 [47360/60000 (79%)]\tLoss: 104.176956\n",
"Train Epoch: 12 [48640/60000 (81%)]\tLoss: 107.245216\n",
"Train Epoch: 12 [49920/60000 (83%)]\tLoss: 106.863953\n",
"Train Epoch: 12 [51200/60000 (85%)]\tLoss: 108.981461\n",
"Train Epoch: 12 [52480/60000 (87%)]\tLoss: 111.611816\n",
"Train Epoch: 12 [53760/60000 (90%)]\tLoss: 107.171188\n",
"Train Epoch: 12 [55040/60000 (92%)]\tLoss: 104.813705\n",
"Train Epoch: 12 [56320/60000 (94%)]\tLoss: 105.201057\n",
"Train Epoch: 12 [57600/60000 (96%)]\tLoss: 102.092346\n",
"Train Epoch: 12 [58880/60000 (98%)]\tLoss: 104.057076\n",
"====> Epoch: 12 Average loss: 105.6337\n",
"====> Test set loss: 96.2811\n",
"Train Epoch: 13 [0/60000 (0%)]\tLoss: 109.669067\n",
"Train Epoch: 13 [1280/60000 (2%)]\tLoss: 108.130493\n",
"Train Epoch: 13 [2560/60000 (4%)]\tLoss: 106.962585\n",
"Train Epoch: 13 [3840/60000 (6%)]\tLoss: 104.424263\n",
"Train Epoch: 13 [5120/60000 (9%)]\tLoss: 104.709785\n",
"Train Epoch: 13 [6400/60000 (11%)]\tLoss: 106.640472\n",
"Train Epoch: 13 [7680/60000 (13%)]\tLoss: 102.932480\n",
"Train Epoch: 13 [8960/60000 (15%)]\tLoss: 105.967812\n",
"Train Epoch: 13 [10240/60000 (17%)]\tLoss: 105.276291\n",
"Train Epoch: 13 [11520/60000 (19%)]\tLoss: 103.952187\n",
"Train Epoch: 13 [12800/60000 (21%)]\tLoss: 109.473793\n",
"Train Epoch: 13 [14080/60000 (23%)]\tLoss: 105.958282\n",
"Train Epoch: 13 [15360/60000 (26%)]\tLoss: 104.177048\n",
"Train Epoch: 13 [16640/60000 (28%)]\tLoss: 105.420341\n",
"Train Epoch: 13 [17920/60000 (30%)]\tLoss: 101.540466\n",
"Train Epoch: 13 [19200/60000 (32%)]\tLoss: 103.787788\n",
"Train Epoch: 13 [20480/60000 (34%)]\tLoss: 104.120621\n",
"Train Epoch: 13 [21760/60000 (36%)]\tLoss: 104.794632\n",
"Train Epoch: 13 [23040/60000 (38%)]\tLoss: 103.614151\n",
"Train Epoch: 13 [24320/60000 (41%)]\tLoss: 105.773674\n",
"Train Epoch: 13 [25600/60000 (43%)]\tLoss: 103.219444\n",
"Train Epoch: 13 [26880/60000 (45%)]\tLoss: 105.712219\n",
"Train Epoch: 13 [28160/60000 (47%)]\tLoss: 106.855629\n",
"Train Epoch: 13 [29440/60000 (49%)]\tLoss: 104.798325\n",
"Train Epoch: 13 [30720/60000 (51%)]\tLoss: 104.969147\n",
"Train Epoch: 13 [32000/60000 (53%)]\tLoss: 105.182922\n",
"Train Epoch: 13 [33280/60000 (55%)]\tLoss: 103.004715\n",
"Train Epoch: 13 [34560/60000 (58%)]\tLoss: 103.329849\n",
"Train Epoch: 13 [35840/60000 (60%)]\tLoss: 103.132919\n",
"Train Epoch: 13 [37120/60000 (62%)]\tLoss: 108.039299\n",
"Train Epoch: 13 [38400/60000 (64%)]\tLoss: 99.204681\n",
"Train Epoch: 13 [39680/60000 (66%)]\tLoss: 106.805099\n",
"Train Epoch: 13 [40960/60000 (68%)]\tLoss: 106.455009\n",
"Train Epoch: 13 [42240/60000 (70%)]\tLoss: 103.856041\n",
"Train Epoch: 13 [43520/60000 (72%)]\tLoss: 104.095184\n",
"Train Epoch: 13 [44800/60000 (75%)]\tLoss: 105.904831\n",
"Train Epoch: 13 [46080/60000 (77%)]\tLoss: 107.753258\n",
"Train Epoch: 13 [47360/60000 (79%)]\tLoss: 102.257156\n",
"Train Epoch: 13 [48640/60000 (81%)]\tLoss: 107.419785\n",
"Train Epoch: 13 [49920/60000 (83%)]\tLoss: 100.212326\n",
"Train Epoch: 13 [51200/60000 (85%)]\tLoss: 103.259323\n",
"Train Epoch: 13 [52480/60000 (87%)]\tLoss: 105.847580\n",
"Train Epoch: 13 [53760/60000 (90%)]\tLoss: 102.244316\n",
"Train Epoch: 13 [55040/60000 (92%)]\tLoss: 109.532623\n",
"Train Epoch: 13 [56320/60000 (94%)]\tLoss: 106.045776\n",
"Train Epoch: 13 [57600/60000 (96%)]\tLoss: 105.117546\n",
"Train Epoch: 13 [58880/60000 (98%)]\tLoss: 106.584518\n",
"====> Epoch: 13 Average loss: 105.3716\n",
"====> Test set loss: 96.1491\n",
"Train Epoch: 14 [0/60000 (0%)]\tLoss: 104.797318\n",
"Train Epoch: 14 [1280/60000 (2%)]\tLoss: 103.246468\n",
"Train Epoch: 14 [2560/60000 (4%)]\tLoss: 107.550064\n",
"Train Epoch: 14 [3840/60000 (6%)]\tLoss: 107.318031\n",
"Train Epoch: 14 [5120/60000 (9%)]\tLoss: 104.867172\n",
"Train Epoch: 14 [6400/60000 (11%)]\tLoss: 102.714622\n",
"Train Epoch: 14 [7680/60000 (13%)]\tLoss: 103.517326\n",
"Train Epoch: 14 [8960/60000 (15%)]\tLoss: 104.103485\n",
"Train Epoch: 14 [10240/60000 (17%)]\tLoss: 105.196228\n",
"Train Epoch: 14 [11520/60000 (19%)]\tLoss: 106.106155\n",
"Train Epoch: 14 [12800/60000 (21%)]\tLoss: 103.698273\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 14 [14080/60000 (23%)]\tLoss: 104.132874\n",
"Train Epoch: 14 [15360/60000 (26%)]\tLoss: 107.650848\n",
"Train Epoch: 14 [16640/60000 (28%)]\tLoss: 108.278458\n",
"Train Epoch: 14 [17920/60000 (30%)]\tLoss: 103.833740\n",
"Train Epoch: 14 [19200/60000 (32%)]\tLoss: 104.537354\n",
"Train Epoch: 14 [20480/60000 (34%)]\tLoss: 103.630226\n",
"Train Epoch: 14 [21760/60000 (36%)]\tLoss: 108.883224\n",
"Train Epoch: 14 [23040/60000 (38%)]\tLoss: 105.895264\n",
"Train Epoch: 14 [24320/60000 (41%)]\tLoss: 106.560074\n",
"Train Epoch: 14 [25600/60000 (43%)]\tLoss: 103.403000\n",
"Train Epoch: 14 [26880/60000 (45%)]\tLoss: 103.857834\n",
"Train Epoch: 14 [28160/60000 (47%)]\tLoss: 103.834564\n",
"Train Epoch: 14 [29440/60000 (49%)]\tLoss: 102.930283\n",
"Train Epoch: 14 [30720/60000 (51%)]\tLoss: 104.579506\n",
"Train Epoch: 14 [32000/60000 (53%)]\tLoss: 104.913338\n",
"Train Epoch: 14 [33280/60000 (55%)]\tLoss: 102.314072\n",
"Train Epoch: 14 [34560/60000 (58%)]\tLoss: 102.906708\n",
"Train Epoch: 14 [35840/60000 (60%)]\tLoss: 103.449875\n",
"Train Epoch: 14 [37120/60000 (62%)]\tLoss: 109.376968\n",
"Train Epoch: 14 [38400/60000 (64%)]\tLoss: 104.145164\n",
"Train Epoch: 14 [39680/60000 (66%)]\tLoss: 106.513184\n",
"Train Epoch: 14 [40960/60000 (68%)]\tLoss: 107.766548\n",
"Train Epoch: 14 [42240/60000 (70%)]\tLoss: 102.751686\n",
"Train Epoch: 14 [43520/60000 (72%)]\tLoss: 106.416595\n",
"Train Epoch: 14 [44800/60000 (75%)]\tLoss: 103.860794\n",
"Train Epoch: 14 [46080/60000 (77%)]\tLoss: 107.789200\n",
"Train Epoch: 14 [47360/60000 (79%)]\tLoss: 107.294128\n",
"Train Epoch: 14 [48640/60000 (81%)]\tLoss: 106.698563\n",
"Train Epoch: 14 [49920/60000 (83%)]\tLoss: 103.148949\n",
"Train Epoch: 14 [51200/60000 (85%)]\tLoss: 106.582268\n",
"Train Epoch: 14 [52480/60000 (87%)]\tLoss: 104.783829\n",
"Train Epoch: 14 [53760/60000 (90%)]\tLoss: 107.454163\n",
"Train Epoch: 14 [55040/60000 (92%)]\tLoss: 105.753311\n",
"Train Epoch: 14 [56320/60000 (94%)]\tLoss: 106.618896\n",
"Train Epoch: 14 [57600/60000 (96%)]\tLoss: 104.841255\n",
"Train Epoch: 14 [58880/60000 (98%)]\tLoss: 101.612122\n",
"====> Epoch: 14 Average loss: 105.1286\n",
"====> Test set loss: 96.8504\n",
"Train Epoch: 15 [0/60000 (0%)]\tLoss: 105.126350\n",
"Train Epoch: 15 [1280/60000 (2%)]\tLoss: 102.617867\n",
"Train Epoch: 15 [2560/60000 (4%)]\tLoss: 106.599472\n",
"Train Epoch: 15 [3840/60000 (6%)]\tLoss: 107.234283\n",
"Train Epoch: 15 [5120/60000 (9%)]\tLoss: 102.577438\n",
"Train Epoch: 15 [6400/60000 (11%)]\tLoss: 107.517883\n",
"Train Epoch: 15 [7680/60000 (13%)]\tLoss: 104.947662\n",
"Train Epoch: 15 [8960/60000 (15%)]\tLoss: 104.728722\n",
"Train Epoch: 15 [10240/60000 (17%)]\tLoss: 104.158844\n",
"Train Epoch: 15 [11520/60000 (19%)]\tLoss: 104.423073\n",
"Train Epoch: 15 [12800/60000 (21%)]\tLoss: 107.136551\n",
"Train Epoch: 15 [14080/60000 (23%)]\tLoss: 103.292793\n",
"Train Epoch: 15 [15360/60000 (26%)]\tLoss: 104.159233\n",
"Train Epoch: 15 [16640/60000 (28%)]\tLoss: 104.938057\n",
"Train Epoch: 15 [17920/60000 (30%)]\tLoss: 101.389900\n",
"Train Epoch: 15 [19200/60000 (32%)]\tLoss: 105.409286\n",
"Train Epoch: 15 [20480/60000 (34%)]\tLoss: 105.341660\n",
"Train Epoch: 15 [21760/60000 (36%)]\tLoss: 105.871017\n",
"Train Epoch: 15 [23040/60000 (38%)]\tLoss: 103.348686\n",
"Train Epoch: 15 [24320/60000 (41%)]\tLoss: 106.250244\n",
"Train Epoch: 15 [25600/60000 (43%)]\tLoss: 104.410645\n",
"Train Epoch: 15 [26880/60000 (45%)]\tLoss: 103.648849\n",
"Train Epoch: 15 [28160/60000 (47%)]\tLoss: 103.076492\n",
"Train Epoch: 15 [29440/60000 (49%)]\tLoss: 107.544189\n",
"Train Epoch: 15 [30720/60000 (51%)]\tLoss: 104.556381\n",
"Train Epoch: 15 [32000/60000 (53%)]\tLoss: 106.563599\n",
"Train Epoch: 15 [33280/60000 (55%)]\tLoss: 104.677834\n",
"Train Epoch: 15 [34560/60000 (58%)]\tLoss: 106.461311\n",
"Train Epoch: 15 [35840/60000 (60%)]\tLoss: 109.855957\n",
"Train Epoch: 15 [37120/60000 (62%)]\tLoss: 106.318359\n",
"Train Epoch: 15 [38400/60000 (64%)]\tLoss: 107.099426\n",
"Train Epoch: 15 [39680/60000 (66%)]\tLoss: 105.726990\n",
"Train Epoch: 15 [40960/60000 (68%)]\tLoss: 104.684525\n",
"Train Epoch: 15 [42240/60000 (70%)]\tLoss: 103.543884\n",
"Train Epoch: 15 [43520/60000 (72%)]\tLoss: 104.153397\n",
"Train Epoch: 15 [44800/60000 (75%)]\tLoss: 102.596664\n",
"Train Epoch: 15 [46080/60000 (77%)]\tLoss: 102.270737\n",
"Train Epoch: 15 [47360/60000 (79%)]\tLoss: 105.376389\n",
"Train Epoch: 15 [48640/60000 (81%)]\tLoss: 105.941734\n",
"Train Epoch: 15 [49920/60000 (83%)]\tLoss: 103.011444\n",
"Train Epoch: 15 [51200/60000 (85%)]\tLoss: 103.553604\n",
"Train Epoch: 15 [52480/60000 (87%)]\tLoss: 108.375061\n",
"Train Epoch: 15 [53760/60000 (90%)]\tLoss: 107.158287\n",
"Train Epoch: 15 [55040/60000 (92%)]\tLoss: 104.675850\n",
"Train Epoch: 15 [56320/60000 (94%)]\tLoss: 101.105316\n",
"Train Epoch: 15 [57600/60000 (96%)]\tLoss: 101.815521\n",
"Train Epoch: 15 [58880/60000 (98%)]\tLoss: 102.367805\n",
"====> Epoch: 15 Average loss: 104.8880\n",
"====> Test set loss: 95.7122\n",
"Train Epoch: 16 [0/60000 (0%)]\tLoss: 103.836365\n",
"Train Epoch: 16 [1280/60000 (2%)]\tLoss: 103.118469\n",
"Train Epoch: 16 [2560/60000 (4%)]\tLoss: 102.055588\n",
"Train Epoch: 16 [3840/60000 (6%)]\tLoss: 103.686035\n",
"Train Epoch: 16 [5120/60000 (9%)]\tLoss: 108.503845\n",
"Train Epoch: 16 [6400/60000 (11%)]\tLoss: 101.888062\n",
"Train Epoch: 16 [7680/60000 (13%)]\tLoss: 102.457504\n",
"Train Epoch: 16 [8960/60000 (15%)]\tLoss: 104.419434\n",
"Train Epoch: 16 [10240/60000 (17%)]\tLoss: 102.772308\n",
"Train Epoch: 16 [11520/60000 (19%)]\tLoss: 106.266800\n",
"Train Epoch: 16 [12800/60000 (21%)]\tLoss: 105.358452\n",
"Train Epoch: 16 [14080/60000 (23%)]\tLoss: 102.148117\n",
"Train Epoch: 16 [15360/60000 (26%)]\tLoss: 106.743179\n",
"Train Epoch: 16 [16640/60000 (28%)]\tLoss: 103.175179\n",
"Train Epoch: 16 [17920/60000 (30%)]\tLoss: 106.005043\n",
"Train Epoch: 16 [19200/60000 (32%)]\tLoss: 106.343735\n",
"Train Epoch: 16 [20480/60000 (34%)]\tLoss: 105.811661\n",
"Train Epoch: 16 [21760/60000 (36%)]\tLoss: 105.950317\n",
"Train Epoch: 16 [23040/60000 (38%)]\tLoss: 103.280113\n",
"Train Epoch: 16 [24320/60000 (41%)]\tLoss: 105.807243\n",
"Train Epoch: 16 [25600/60000 (43%)]\tLoss: 104.157455\n",
"Train Epoch: 16 [26880/60000 (45%)]\tLoss: 102.977074\n",
"Train Epoch: 16 [28160/60000 (47%)]\tLoss: 105.175186\n",
"Train Epoch: 16 [29440/60000 (49%)]\tLoss: 104.584900\n",
"Train Epoch: 16 [30720/60000 (51%)]\tLoss: 105.763786\n",
"Train Epoch: 16 [32000/60000 (53%)]\tLoss: 102.148911\n",
"Train Epoch: 16 [33280/60000 (55%)]\tLoss: 104.206345\n",
"Train Epoch: 16 [34560/60000 (58%)]\tLoss: 107.311256\n",
"Train Epoch: 16 [35840/60000 (60%)]\tLoss: 107.557037\n",
"Train Epoch: 16 [37120/60000 (62%)]\tLoss: 107.153915\n",
"Train Epoch: 16 [38400/60000 (64%)]\tLoss: 105.434280\n",
"Train Epoch: 16 [39680/60000 (66%)]\tLoss: 104.619987\n",
"Train Epoch: 16 [40960/60000 (68%)]\tLoss: 100.922600\n",
"Train Epoch: 16 [42240/60000 (70%)]\tLoss: 107.050491\n",
"Train Epoch: 16 [43520/60000 (72%)]\tLoss: 106.975182\n",
"Train Epoch: 16 [44800/60000 (75%)]\tLoss: 106.344643\n",
"Train Epoch: 16 [46080/60000 (77%)]\tLoss: 106.359596\n",
"Train Epoch: 16 [47360/60000 (79%)]\tLoss: 103.994308\n",
"Train Epoch: 16 [48640/60000 (81%)]\tLoss: 106.690323\n",
"Train Epoch: 16 [49920/60000 (83%)]\tLoss: 105.338867\n",
"Train Epoch: 16 [51200/60000 (85%)]\tLoss: 107.250549\n",
"Train Epoch: 16 [52480/60000 (87%)]\tLoss: 106.071106\n",
"Train Epoch: 16 [53760/60000 (90%)]\tLoss: 105.890579\n",
"Train Epoch: 16 [55040/60000 (92%)]\tLoss: 104.576553\n",
"Train Epoch: 16 [56320/60000 (94%)]\tLoss: 104.104927\n",
"Train Epoch: 16 [57600/60000 (96%)]\tLoss: 100.497932\n",
"Train Epoch: 16 [58880/60000 (98%)]\tLoss: 102.796188\n",
"====> Epoch: 16 Average loss: 104.6565\n",
"====> Test set loss: 95.6283\n",
"Train Epoch: 17 [0/60000 (0%)]\tLoss: 104.588203\n",
"Train Epoch: 17 [1280/60000 (2%)]\tLoss: 105.349075\n",
"Train Epoch: 17 [2560/60000 (4%)]\tLoss: 105.669724\n",
"Train Epoch: 17 [3840/60000 (6%)]\tLoss: 104.401047\n",
"Train Epoch: 17 [5120/60000 (9%)]\tLoss: 103.477585\n",
"Train Epoch: 17 [6400/60000 (11%)]\tLoss: 100.335884\n",
"Train Epoch: 17 [7680/60000 (13%)]\tLoss: 99.785019\n",
"Train Epoch: 17 [8960/60000 (15%)]\tLoss: 105.246048\n",
"Train Epoch: 17 [10240/60000 (17%)]\tLoss: 103.414940\n",
"Train Epoch: 17 [11520/60000 (19%)]\tLoss: 106.611656\n",
"Train Epoch: 17 [12800/60000 (21%)]\tLoss: 104.327332\n",
"Train Epoch: 17 [14080/60000 (23%)]\tLoss: 107.700394\n",
"Train Epoch: 17 [15360/60000 (26%)]\tLoss: 104.105247\n",
"Train Epoch: 17 [16640/60000 (28%)]\tLoss: 106.778000\n",
"Train Epoch: 17 [17920/60000 (30%)]\tLoss: 105.644562\n",
"Train Epoch: 17 [19200/60000 (32%)]\tLoss: 103.282471\n",
"Train Epoch: 17 [20480/60000 (34%)]\tLoss: 106.210327\n",
"Train Epoch: 17 [21760/60000 (36%)]\tLoss: 105.550919\n",
"Train Epoch: 17 [23040/60000 (38%)]\tLoss: 103.012939\n",
"Train Epoch: 17 [24320/60000 (41%)]\tLoss: 104.908424\n",
"Train Epoch: 17 [25600/60000 (43%)]\tLoss: 104.180519\n",
"Train Epoch: 17 [26880/60000 (45%)]\tLoss: 105.249458\n",
"Train Epoch: 17 [28160/60000 (47%)]\tLoss: 102.595634\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 17 [29440/60000 (49%)]\tLoss: 103.821442\n",
"Train Epoch: 17 [30720/60000 (51%)]\tLoss: 100.707405\n",
"Train Epoch: 17 [32000/60000 (53%)]\tLoss: 102.207840\n",
"Train Epoch: 17 [33280/60000 (55%)]\tLoss: 106.201401\n",
"Train Epoch: 17 [34560/60000 (58%)]\tLoss: 102.572235\n",
"Train Epoch: 17 [35840/60000 (60%)]\tLoss: 111.061493\n",
"Train Epoch: 17 [37120/60000 (62%)]\tLoss: 104.168625\n",
"Train Epoch: 17 [38400/60000 (64%)]\tLoss: 104.292831\n",
"Train Epoch: 17 [39680/60000 (66%)]\tLoss: 104.684021\n",
"Train Epoch: 17 [40960/60000 (68%)]\tLoss: 107.487503\n",
"Train Epoch: 17 [42240/60000 (70%)]\tLoss: 102.473022\n",
"Train Epoch: 17 [43520/60000 (72%)]\tLoss: 105.750038\n",
"Train Epoch: 17 [44800/60000 (75%)]\tLoss: 103.123367\n",
"Train Epoch: 17 [46080/60000 (77%)]\tLoss: 106.979797\n",
"Train Epoch: 17 [47360/60000 (79%)]\tLoss: 99.886734\n",
"Train Epoch: 17 [48640/60000 (81%)]\tLoss: 106.535629\n",
"Train Epoch: 17 [49920/60000 (83%)]\tLoss: 103.934998\n",
"Train Epoch: 17 [51200/60000 (85%)]\tLoss: 106.189751\n",
"Train Epoch: 17 [52480/60000 (87%)]\tLoss: 106.131783\n",
"Train Epoch: 17 [53760/60000 (90%)]\tLoss: 108.285980\n",
"Train Epoch: 17 [55040/60000 (92%)]\tLoss: 104.942635\n",
"Train Epoch: 17 [56320/60000 (94%)]\tLoss: 103.004059\n",
"Train Epoch: 17 [57600/60000 (96%)]\tLoss: 102.990128\n",
"Train Epoch: 17 [58880/60000 (98%)]\tLoss: 105.971046\n",
"====> Epoch: 17 Average loss: 104.5576\n",
"====> Test set loss: 96.0459\n",
"Train Epoch: 18 [0/60000 (0%)]\tLoss: 101.840599\n",
"Train Epoch: 18 [1280/60000 (2%)]\tLoss: 103.199753\n",
"Train Epoch: 18 [2560/60000 (4%)]\tLoss: 100.704620\n",
"Train Epoch: 18 [3840/60000 (6%)]\tLoss: 108.966095\n",
"Train Epoch: 18 [5120/60000 (9%)]\tLoss: 101.469223\n",
"Train Epoch: 18 [6400/60000 (11%)]\tLoss: 105.287842\n",
"Train Epoch: 18 [7680/60000 (13%)]\tLoss: 102.262711\n",
"Train Epoch: 18 [8960/60000 (15%)]\tLoss: 103.190376\n",
"Train Epoch: 18 [10240/60000 (17%)]\tLoss: 104.149544\n",
"Train Epoch: 18 [11520/60000 (19%)]\tLoss: 104.937546\n",
"Train Epoch: 18 [12800/60000 (21%)]\tLoss: 109.080383\n",
"Train Epoch: 18 [14080/60000 (23%)]\tLoss: 101.906563\n",
"Train Epoch: 18 [15360/60000 (26%)]\tLoss: 104.249741\n",
"Train Epoch: 18 [16640/60000 (28%)]\tLoss: 102.785812\n",
"Train Epoch: 18 [17920/60000 (30%)]\tLoss: 104.534454\n",
"Train Epoch: 18 [19200/60000 (32%)]\tLoss: 104.869797\n",
"Train Epoch: 18 [20480/60000 (34%)]\tLoss: 102.571877\n",
"Train Epoch: 18 [21760/60000 (36%)]\tLoss: 109.122185\n",
"Train Epoch: 18 [23040/60000 (38%)]\tLoss: 105.320290\n",
"Train Epoch: 18 [24320/60000 (41%)]\tLoss: 98.972885\n",
"Train Epoch: 18 [25600/60000 (43%)]\tLoss: 102.724228\n",
"Train Epoch: 18 [26880/60000 (45%)]\tLoss: 104.956802\n",
"Train Epoch: 18 [28160/60000 (47%)]\tLoss: 103.447632\n",
"Train Epoch: 18 [29440/60000 (49%)]\tLoss: 107.373505\n",
"Train Epoch: 18 [30720/60000 (51%)]\tLoss: 104.976067\n",
"Train Epoch: 18 [32000/60000 (53%)]\tLoss: 105.302895\n",
"Train Epoch: 18 [33280/60000 (55%)]\tLoss: 104.880005\n",
"Train Epoch: 18 [34560/60000 (58%)]\tLoss: 105.163841\n",
"Train Epoch: 18 [35840/60000 (60%)]\tLoss: 109.695274\n",
"Train Epoch: 18 [37120/60000 (62%)]\tLoss: 101.362938\n",
"Train Epoch: 18 [38400/60000 (64%)]\tLoss: 105.322960\n",
"Train Epoch: 18 [39680/60000 (66%)]\tLoss: 104.542709\n",
"Train Epoch: 18 [40960/60000 (68%)]\tLoss: 105.326721\n",
"Train Epoch: 18 [42240/60000 (70%)]\tLoss: 107.153374\n",
"Train Epoch: 18 [43520/60000 (72%)]\tLoss: 104.570625\n",
"Train Epoch: 18 [44800/60000 (75%)]\tLoss: 100.442238\n",
"Train Epoch: 18 [46080/60000 (77%)]\tLoss: 104.107643\n",
"Train Epoch: 18 [47360/60000 (79%)]\tLoss: 101.917976\n",
"Train Epoch: 18 [48640/60000 (81%)]\tLoss: 104.981720\n",
"Train Epoch: 18 [49920/60000 (83%)]\tLoss: 108.143585\n",
"Train Epoch: 18 [51200/60000 (85%)]\tLoss: 105.031464\n",
"Train Epoch: 18 [52480/60000 (87%)]\tLoss: 105.042130\n",
"Train Epoch: 18 [53760/60000 (90%)]\tLoss: 104.792953\n",
"Train Epoch: 18 [55040/60000 (92%)]\tLoss: 106.142876\n",
"Train Epoch: 18 [56320/60000 (94%)]\tLoss: 102.711594\n",
"Train Epoch: 18 [57600/60000 (96%)]\tLoss: 104.598953\n",
"Train Epoch: 18 [58880/60000 (98%)]\tLoss: 104.753387\n",
"====> Epoch: 18 Average loss: 104.3481\n",
"====> Test set loss: 95.6424\n",
"Train Epoch: 19 [0/60000 (0%)]\tLoss: 106.344360\n",
"Train Epoch: 19 [1280/60000 (2%)]\tLoss: 103.916321\n",
"Train Epoch: 19 [2560/60000 (4%)]\tLoss: 96.677170\n",
"Train Epoch: 19 [3840/60000 (6%)]\tLoss: 102.686920\n",
"Train Epoch: 19 [5120/60000 (9%)]\tLoss: 103.753120\n",
"Train Epoch: 19 [6400/60000 (11%)]\tLoss: 103.679855\n",
"Train Epoch: 19 [7680/60000 (13%)]\tLoss: 100.313095\n",
"Train Epoch: 19 [8960/60000 (15%)]\tLoss: 103.510742\n",
"Train Epoch: 19 [10240/60000 (17%)]\tLoss: 101.270012\n",
"Train Epoch: 19 [11520/60000 (19%)]\tLoss: 103.523483\n",
"Train Epoch: 19 [12800/60000 (21%)]\tLoss: 106.482468\n",
"Train Epoch: 19 [14080/60000 (23%)]\tLoss: 105.472946\n",
"Train Epoch: 19 [15360/60000 (26%)]\tLoss: 105.288414\n",
"Train Epoch: 19 [16640/60000 (28%)]\tLoss: 102.615685\n",
"Train Epoch: 19 [17920/60000 (30%)]\tLoss: 105.994522\n",
"Train Epoch: 19 [19200/60000 (32%)]\tLoss: 104.204468\n",
"Train Epoch: 19 [20480/60000 (34%)]\tLoss: 102.202057\n",
"Train Epoch: 19 [21760/60000 (36%)]\tLoss: 103.978226\n",
"Train Epoch: 19 [23040/60000 (38%)]\tLoss: 105.892822\n",
"Train Epoch: 19 [24320/60000 (41%)]\tLoss: 101.991974\n",
"Train Epoch: 19 [25600/60000 (43%)]\tLoss: 107.148071\n",
"Train Epoch: 19 [26880/60000 (45%)]\tLoss: 105.394661\n",
"Train Epoch: 19 [28160/60000 (47%)]\tLoss: 101.146416\n",
"Train Epoch: 19 [29440/60000 (49%)]\tLoss: 105.583572\n",
"Train Epoch: 19 [30720/60000 (51%)]\tLoss: 104.450348\n",
"Train Epoch: 19 [32000/60000 (53%)]\tLoss: 104.803406\n",
"Train Epoch: 19 [33280/60000 (55%)]\tLoss: 99.423302\n",
"Train Epoch: 19 [34560/60000 (58%)]\tLoss: 103.590538\n",
"Train Epoch: 19 [35840/60000 (60%)]\tLoss: 101.362007\n",
"Train Epoch: 19 [37120/60000 (62%)]\tLoss: 105.638298\n",
"Train Epoch: 19 [38400/60000 (64%)]\tLoss: 106.074226\n",
"Train Epoch: 19 [39680/60000 (66%)]\tLoss: 105.289299\n",
"Train Epoch: 19 [40960/60000 (68%)]\tLoss: 105.912971\n",
"Train Epoch: 19 [42240/60000 (70%)]\tLoss: 100.778465\n",
"Train Epoch: 19 [43520/60000 (72%)]\tLoss: 106.511261\n",
"Train Epoch: 19 [44800/60000 (75%)]\tLoss: 105.693077\n",
"Train Epoch: 19 [46080/60000 (77%)]\tLoss: 106.741234\n",
"Train Epoch: 19 [47360/60000 (79%)]\tLoss: 106.760826\n",
"Train Epoch: 19 [48640/60000 (81%)]\tLoss: 105.313950\n",
"Train Epoch: 19 [49920/60000 (83%)]\tLoss: 103.613068\n",
"Train Epoch: 19 [51200/60000 (85%)]\tLoss: 102.347794\n",
"Train Epoch: 19 [52480/60000 (87%)]\tLoss: 104.891571\n",
"Train Epoch: 19 [53760/60000 (90%)]\tLoss: 100.862602\n",
"Train Epoch: 19 [55040/60000 (92%)]\tLoss: 103.906258\n",
"Train Epoch: 19 [56320/60000 (94%)]\tLoss: 105.881714\n",
"Train Epoch: 19 [57600/60000 (96%)]\tLoss: 105.824326\n",
"Train Epoch: 19 [58880/60000 (98%)]\tLoss: 102.644287\n",
"====> Epoch: 19 Average loss: 104.1852\n",
"====> Test set loss: 95.8522\n",
"Train Epoch: 20 [0/60000 (0%)]\tLoss: 108.706741\n",
"Train Epoch: 20 [1280/60000 (2%)]\tLoss: 102.247444\n",
"Train Epoch: 20 [2560/60000 (4%)]\tLoss: 107.076920\n",
"Train Epoch: 20 [3840/60000 (6%)]\tLoss: 102.451469\n",
"Train Epoch: 20 [5120/60000 (9%)]\tLoss: 102.865219\n",
"Train Epoch: 20 [6400/60000 (11%)]\tLoss: 104.631599\n",
"Train Epoch: 20 [7680/60000 (13%)]\tLoss: 105.564346\n",
"Train Epoch: 20 [8960/60000 (15%)]\tLoss: 106.784485\n",
"Train Epoch: 20 [10240/60000 (17%)]\tLoss: 101.239700\n",
"Train Epoch: 20 [11520/60000 (19%)]\tLoss: 103.926529\n",
"Train Epoch: 20 [12800/60000 (21%)]\tLoss: 106.838234\n",
"Train Epoch: 20 [14080/60000 (23%)]\tLoss: 106.001495\n",
"Train Epoch: 20 [15360/60000 (26%)]\tLoss: 102.047073\n",
"Train Epoch: 20 [16640/60000 (28%)]\tLoss: 100.138725\n",
"Train Epoch: 20 [17920/60000 (30%)]\tLoss: 105.864319\n",
"Train Epoch: 20 [19200/60000 (32%)]\tLoss: 103.648537\n",
"Train Epoch: 20 [20480/60000 (34%)]\tLoss: 102.567703\n",
"Train Epoch: 20 [21760/60000 (36%)]\tLoss: 102.086700\n",
"Train Epoch: 20 [23040/60000 (38%)]\tLoss: 103.322052\n",
"Train Epoch: 20 [24320/60000 (41%)]\tLoss: 105.159973\n",
"Train Epoch: 20 [25600/60000 (43%)]\tLoss: 103.052933\n",
"Train Epoch: 20 [26880/60000 (45%)]\tLoss: 103.881409\n",
"Train Epoch: 20 [28160/60000 (47%)]\tLoss: 102.681572\n",
"Train Epoch: 20 [29440/60000 (49%)]\tLoss: 107.328003\n",
"Train Epoch: 20 [30720/60000 (51%)]\tLoss: 106.416855\n",
"Train Epoch: 20 [32000/60000 (53%)]\tLoss: 100.948036\n",
"Train Epoch: 20 [33280/60000 (55%)]\tLoss: 105.580872\n",
"Train Epoch: 20 [34560/60000 (58%)]\tLoss: 100.690842\n",
"Train Epoch: 20 [35840/60000 (60%)]\tLoss: 105.540840\n",
"Train Epoch: 20 [37120/60000 (62%)]\tLoss: 106.964081\n",
"Train Epoch: 20 [38400/60000 (64%)]\tLoss: 104.317978\n",
"Train Epoch: 20 [39680/60000 (66%)]\tLoss: 104.836250\n",
"Train Epoch: 20 [40960/60000 (68%)]\tLoss: 100.319809\n",
"Train Epoch: 20 [42240/60000 (70%)]\tLoss: 107.364868\n",
"Train Epoch: 20 [43520/60000 (72%)]\tLoss: 105.988480\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 20 [44800/60000 (75%)]\tLoss: 102.095085\n",
"Train Epoch: 20 [46080/60000 (77%)]\tLoss: 102.990219\n",
"Train Epoch: 20 [47360/60000 (79%)]\tLoss: 103.538452\n",
"Train Epoch: 20 [48640/60000 (81%)]\tLoss: 106.342834\n",
"Train Epoch: 20 [49920/60000 (83%)]\tLoss: 102.921028\n",
"Train Epoch: 20 [51200/60000 (85%)]\tLoss: 106.630646\n",
"Train Epoch: 20 [52480/60000 (87%)]\tLoss: 104.337044\n",
"Train Epoch: 20 [53760/60000 (90%)]\tLoss: 101.641884\n",
"Train Epoch: 20 [55040/60000 (92%)]\tLoss: 105.955116\n",
"Train Epoch: 20 [56320/60000 (94%)]\tLoss: 102.792160\n",
"Train Epoch: 20 [57600/60000 (96%)]\tLoss: 101.299225\n",
"Train Epoch: 20 [58880/60000 (98%)]\tLoss: 103.304123\n",
"====> Epoch: 20 Average loss: 104.0477\n",
"====> Test set loss: 95.1910\n",
"Train Epoch: 21 [0/60000 (0%)]\tLoss: 102.688400\n",
"Train Epoch: 21 [1280/60000 (2%)]\tLoss: 104.033737\n",
"Train Epoch: 21 [2560/60000 (4%)]\tLoss: 102.942970\n",
"Train Epoch: 21 [3840/60000 (6%)]\tLoss: 102.427734\n",
"Train Epoch: 21 [5120/60000 (9%)]\tLoss: 107.592461\n",
"Train Epoch: 21 [6400/60000 (11%)]\tLoss: 102.262924\n",
"Train Epoch: 21 [7680/60000 (13%)]\tLoss: 102.945000\n",
"Train Epoch: 21 [8960/60000 (15%)]\tLoss: 104.301270\n",
"Train Epoch: 21 [10240/60000 (17%)]\tLoss: 107.542694\n",
"Train Epoch: 21 [11520/60000 (19%)]\tLoss: 102.557442\n",
"Train Epoch: 21 [12800/60000 (21%)]\tLoss: 102.377991\n",
"Train Epoch: 21 [14080/60000 (23%)]\tLoss: 103.255615\n",
"Train Epoch: 21 [15360/60000 (26%)]\tLoss: 104.969330\n",
"Train Epoch: 21 [16640/60000 (28%)]\tLoss: 103.086884\n",
"Train Epoch: 21 [17920/60000 (30%)]\tLoss: 109.795044\n",
"Train Epoch: 21 [19200/60000 (32%)]\tLoss: 100.944794\n",
"Train Epoch: 21 [20480/60000 (34%)]\tLoss: 99.251144\n",
"Train Epoch: 21 [21760/60000 (36%)]\tLoss: 105.851944\n",
"Train Epoch: 21 [23040/60000 (38%)]\tLoss: 105.485924\n",
"Train Epoch: 21 [24320/60000 (41%)]\tLoss: 104.251266\n",
"Train Epoch: 21 [25600/60000 (43%)]\tLoss: 103.637512\n",
"Train Epoch: 21 [26880/60000 (45%)]\tLoss: 103.958138\n",
"Train Epoch: 21 [28160/60000 (47%)]\tLoss: 103.350754\n",
"Train Epoch: 21 [29440/60000 (49%)]\tLoss: 102.899078\n",
"Train Epoch: 21 [30720/60000 (51%)]\tLoss: 104.306396\n",
"Train Epoch: 21 [32000/60000 (53%)]\tLoss: 101.326889\n",
"Train Epoch: 21 [33280/60000 (55%)]\tLoss: 102.616470\n",
"Train Epoch: 21 [34560/60000 (58%)]\tLoss: 99.547882\n",
"Train Epoch: 21 [35840/60000 (60%)]\tLoss: 106.774338\n",
"Train Epoch: 21 [37120/60000 (62%)]\tLoss: 104.592255\n",
"Train Epoch: 21 [38400/60000 (64%)]\tLoss: 105.188843\n",
"Train Epoch: 21 [39680/60000 (66%)]\tLoss: 107.016136\n",
"Train Epoch: 21 [40960/60000 (68%)]\tLoss: 103.016136\n",
"Train Epoch: 21 [42240/60000 (70%)]\tLoss: 106.147102\n",
"Train Epoch: 21 [43520/60000 (72%)]\tLoss: 106.216751\n",
"Train Epoch: 21 [44800/60000 (75%)]\tLoss: 101.392509\n",
"Train Epoch: 21 [46080/60000 (77%)]\tLoss: 105.046768\n",
"Train Epoch: 21 [47360/60000 (79%)]\tLoss: 105.992813\n",
"Train Epoch: 21 [48640/60000 (81%)]\tLoss: 106.122559\n",
"Train Epoch: 21 [49920/60000 (83%)]\tLoss: 103.959785\n",
"Train Epoch: 21 [51200/60000 (85%)]\tLoss: 103.733597\n",
"Train Epoch: 21 [52480/60000 (87%)]\tLoss: 103.023590\n",
"Train Epoch: 21 [53760/60000 (90%)]\tLoss: 102.458221\n",
"Train Epoch: 21 [55040/60000 (92%)]\tLoss: 106.704491\n",
"Train Epoch: 21 [56320/60000 (94%)]\tLoss: 100.704903\n",
"Train Epoch: 21 [57600/60000 (96%)]\tLoss: 104.823868\n",
"Train Epoch: 21 [58880/60000 (98%)]\tLoss: 101.732132\n",
"====> Epoch: 21 Average loss: 103.9140\n",
"====> Test set loss: 95.1122\n",
"Train Epoch: 22 [0/60000 (0%)]\tLoss: 101.806610\n",
"Train Epoch: 22 [1280/60000 (2%)]\tLoss: 99.468224\n",
"Train Epoch: 22 [2560/60000 (4%)]\tLoss: 105.000435\n",
"Train Epoch: 22 [3840/60000 (6%)]\tLoss: 105.788696\n",
"Train Epoch: 22 [5120/60000 (9%)]\tLoss: 103.591415\n",
"Train Epoch: 22 [6400/60000 (11%)]\tLoss: 103.366058\n",
"Train Epoch: 22 [7680/60000 (13%)]\tLoss: 105.445755\n",
"Train Epoch: 22 [8960/60000 (15%)]\tLoss: 107.764885\n",
"Train Epoch: 22 [10240/60000 (17%)]\tLoss: 102.338676\n",
"Train Epoch: 22 [11520/60000 (19%)]\tLoss: 105.789101\n",
"Train Epoch: 22 [12800/60000 (21%)]\tLoss: 106.588875\n",
"Train Epoch: 22 [14080/60000 (23%)]\tLoss: 101.277374\n",
"Train Epoch: 22 [15360/60000 (26%)]\tLoss: 104.639969\n",
"Train Epoch: 22 [16640/60000 (28%)]\tLoss: 105.927689\n",
"Train Epoch: 22 [17920/60000 (30%)]\tLoss: 102.313110\n",
"Train Epoch: 22 [19200/60000 (32%)]\tLoss: 102.167038\n",
"Train Epoch: 22 [20480/60000 (34%)]\tLoss: 102.466553\n",
"Train Epoch: 22 [21760/60000 (36%)]\tLoss: 104.020905\n",
"Train Epoch: 22 [23040/60000 (38%)]\tLoss: 104.666916\n",
"Train Epoch: 22 [24320/60000 (41%)]\tLoss: 102.766098\n",
"Train Epoch: 22 [25600/60000 (43%)]\tLoss: 100.719681\n",
"Train Epoch: 22 [26880/60000 (45%)]\tLoss: 103.332199\n",
"Train Epoch: 22 [28160/60000 (47%)]\tLoss: 106.894318\n",
"Train Epoch: 22 [29440/60000 (49%)]\tLoss: 100.298096\n",
"Train Epoch: 22 [30720/60000 (51%)]\tLoss: 100.256882\n",
"Train Epoch: 22 [32000/60000 (53%)]\tLoss: 107.070755\n",
"Train Epoch: 22 [33280/60000 (55%)]\tLoss: 105.068832\n",
"Train Epoch: 22 [34560/60000 (58%)]\tLoss: 102.740082\n",
"Train Epoch: 22 [35840/60000 (60%)]\tLoss: 100.722672\n",
"Train Epoch: 22 [37120/60000 (62%)]\tLoss: 101.052338\n",
"Train Epoch: 22 [38400/60000 (64%)]\tLoss: 102.449829\n",
"Train Epoch: 22 [39680/60000 (66%)]\tLoss: 103.252174\n",
"Train Epoch: 22 [40960/60000 (68%)]\tLoss: 101.301857\n",
"Train Epoch: 22 [42240/60000 (70%)]\tLoss: 106.024605\n",
"Train Epoch: 22 [43520/60000 (72%)]\tLoss: 101.751747\n",
"Train Epoch: 22 [44800/60000 (75%)]\tLoss: 103.524200\n",
"Train Epoch: 22 [46080/60000 (77%)]\tLoss: 101.559433\n",
"Train Epoch: 22 [47360/60000 (79%)]\tLoss: 102.742432\n",
"Train Epoch: 22 [48640/60000 (81%)]\tLoss: 102.304169\n",
"Train Epoch: 22 [49920/60000 (83%)]\tLoss: 104.314850\n",
"Train Epoch: 22 [51200/60000 (85%)]\tLoss: 102.939873\n",
"Train Epoch: 22 [52480/60000 (87%)]\tLoss: 100.307083\n",
"Train Epoch: 22 [53760/60000 (90%)]\tLoss: 101.109917\n",
"Train Epoch: 22 [55040/60000 (92%)]\tLoss: 107.869179\n",
"Train Epoch: 22 [56320/60000 (94%)]\tLoss: 103.879196\n",
"Train Epoch: 22 [57600/60000 (96%)]\tLoss: 106.794395\n",
"Train Epoch: 22 [58880/60000 (98%)]\tLoss: 102.533691\n",
"====> Epoch: 22 Average loss: 103.7761\n",
"====> Test set loss: 95.0416\n",
"Train Epoch: 23 [0/60000 (0%)]\tLoss: 101.319794\n",
"Train Epoch: 23 [1280/60000 (2%)]\tLoss: 102.353638\n",
"Train Epoch: 23 [2560/60000 (4%)]\tLoss: 104.714203\n",
"Train Epoch: 23 [3840/60000 (6%)]\tLoss: 103.472176\n",
"Train Epoch: 23 [5120/60000 (9%)]\tLoss: 104.201134\n",
"Train Epoch: 23 [6400/60000 (11%)]\tLoss: 105.298111\n",
"Train Epoch: 23 [7680/60000 (13%)]\tLoss: 104.255051\n",
"Train Epoch: 23 [8960/60000 (15%)]\tLoss: 105.760513\n",
"Train Epoch: 23 [10240/60000 (17%)]\tLoss: 104.475647\n",
"Train Epoch: 23 [11520/60000 (19%)]\tLoss: 103.129639\n",
"Train Epoch: 23 [12800/60000 (21%)]\tLoss: 106.628044\n",
"Train Epoch: 23 [14080/60000 (23%)]\tLoss: 104.475311\n",
"Train Epoch: 23 [15360/60000 (26%)]\tLoss: 107.953049\n",
"Train Epoch: 23 [16640/60000 (28%)]\tLoss: 102.743774\n",
"Train Epoch: 23 [17920/60000 (30%)]\tLoss: 102.576500\n",
"Train Epoch: 23 [19200/60000 (32%)]\tLoss: 102.712715\n",
"Train Epoch: 23 [20480/60000 (34%)]\tLoss: 102.587631\n",
"Train Epoch: 23 [21760/60000 (36%)]\tLoss: 101.022354\n",
"Train Epoch: 23 [23040/60000 (38%)]\tLoss: 102.388527\n",
"Train Epoch: 23 [24320/60000 (41%)]\tLoss: 102.115814\n",
"Train Epoch: 23 [25600/60000 (43%)]\tLoss: 104.873840\n",
"Train Epoch: 23 [26880/60000 (45%)]\tLoss: 102.983200\n",
"Train Epoch: 23 [28160/60000 (47%)]\tLoss: 98.748688\n",
"Train Epoch: 23 [29440/60000 (49%)]\tLoss: 97.780617\n",
"Train Epoch: 23 [30720/60000 (51%)]\tLoss: 105.755173\n",
"Train Epoch: 23 [32000/60000 (53%)]\tLoss: 102.517258\n",
"Train Epoch: 23 [33280/60000 (55%)]\tLoss: 104.266190\n",
"Train Epoch: 23 [34560/60000 (58%)]\tLoss: 104.782516\n",
"Train Epoch: 23 [35840/60000 (60%)]\tLoss: 100.844154\n",
"Train Epoch: 23 [37120/60000 (62%)]\tLoss: 106.216255\n",
"Train Epoch: 23 [38400/60000 (64%)]\tLoss: 104.667862\n",
"Train Epoch: 23 [39680/60000 (66%)]\tLoss: 102.477135\n",
"Train Epoch: 23 [40960/60000 (68%)]\tLoss: 99.578857\n",
"Train Epoch: 23 [42240/60000 (70%)]\tLoss: 101.628326\n",
"Train Epoch: 23 [43520/60000 (72%)]\tLoss: 102.144196\n",
"Train Epoch: 23 [44800/60000 (75%)]\tLoss: 102.825470\n",
"Train Epoch: 23 [46080/60000 (77%)]\tLoss: 105.869354\n",
"Train Epoch: 23 [47360/60000 (79%)]\tLoss: 102.692963\n",
"Train Epoch: 23 [48640/60000 (81%)]\tLoss: 104.259575\n",
"Train Epoch: 23 [49920/60000 (83%)]\tLoss: 102.318398\n",
"Train Epoch: 23 [51200/60000 (85%)]\tLoss: 100.736145\n",
"Train Epoch: 23 [52480/60000 (87%)]\tLoss: 107.399704\n",
"Train Epoch: 23 [53760/60000 (90%)]\tLoss: 105.458511\n",
"Train Epoch: 23 [55040/60000 (92%)]\tLoss: 103.606705\n",
"Train Epoch: 23 [56320/60000 (94%)]\tLoss: 105.690041\n",
"Train Epoch: 23 [57600/60000 (96%)]\tLoss: 103.009842\n",
"Train Epoch: 23 [58880/60000 (98%)]\tLoss: 102.755524\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Epoch: 23 Average loss: 103.6693\n",
"====> Test set loss: 95.0050\n",
"Train Epoch: 24 [0/60000 (0%)]\tLoss: 105.859268\n",
"Train Epoch: 24 [1280/60000 (2%)]\tLoss: 99.910080\n",
"Train Epoch: 24 [2560/60000 (4%)]\tLoss: 103.120895\n",
"Train Epoch: 24 [3840/60000 (6%)]\tLoss: 108.090851\n",
"Train Epoch: 24 [5120/60000 (9%)]\tLoss: 105.828156\n",
"Train Epoch: 24 [6400/60000 (11%)]\tLoss: 104.041603\n",
"Train Epoch: 24 [7680/60000 (13%)]\tLoss: 104.265656\n",
"Train Epoch: 24 [8960/60000 (15%)]\tLoss: 100.768082\n",
"Train Epoch: 24 [10240/60000 (17%)]\tLoss: 101.053970\n",
"Train Epoch: 24 [11520/60000 (19%)]\tLoss: 103.609909\n",
"Train Epoch: 24 [12800/60000 (21%)]\tLoss: 98.961517\n",
"Train Epoch: 24 [14080/60000 (23%)]\tLoss: 104.114227\n",
"Train Epoch: 24 [15360/60000 (26%)]\tLoss: 101.532143\n",
"Train Epoch: 24 [16640/60000 (28%)]\tLoss: 99.970612\n",
"Train Epoch: 24 [17920/60000 (30%)]\tLoss: 101.109116\n",
"Train Epoch: 24 [19200/60000 (32%)]\tLoss: 103.230904\n",
"Train Epoch: 24 [20480/60000 (34%)]\tLoss: 102.207954\n",
"Train Epoch: 24 [21760/60000 (36%)]\tLoss: 104.811630\n",
"Train Epoch: 24 [23040/60000 (38%)]\tLoss: 99.838287\n",
"Train Epoch: 24 [24320/60000 (41%)]\tLoss: 102.178345\n",
"Train Epoch: 24 [25600/60000 (43%)]\tLoss: 103.028870\n",
"Train Epoch: 24 [26880/60000 (45%)]\tLoss: 103.341911\n",
"Train Epoch: 24 [28160/60000 (47%)]\tLoss: 103.775749\n",
"Train Epoch: 24 [29440/60000 (49%)]\tLoss: 107.110886\n",
"Train Epoch: 24 [30720/60000 (51%)]\tLoss: 104.679688\n",
"Train Epoch: 24 [32000/60000 (53%)]\tLoss: 106.366837\n",
"Train Epoch: 24 [33280/60000 (55%)]\tLoss: 103.562218\n",
"Train Epoch: 24 [34560/60000 (58%)]\tLoss: 103.986366\n",
"Train Epoch: 24 [35840/60000 (60%)]\tLoss: 107.152969\n",
"Train Epoch: 24 [37120/60000 (62%)]\tLoss: 101.794044\n",
"Train Epoch: 24 [38400/60000 (64%)]\tLoss: 102.364441\n",
"Train Epoch: 24 [39680/60000 (66%)]\tLoss: 106.374649\n",
"Train Epoch: 24 [40960/60000 (68%)]\tLoss: 98.725784\n",
"Train Epoch: 24 [42240/60000 (70%)]\tLoss: 103.493591\n",
"Train Epoch: 24 [43520/60000 (72%)]\tLoss: 105.095856\n",
"Train Epoch: 24 [44800/60000 (75%)]\tLoss: 104.128159\n",
"Train Epoch: 24 [46080/60000 (77%)]\tLoss: 105.437912\n",
"Train Epoch: 24 [47360/60000 (79%)]\tLoss: 107.432816\n",
"Train Epoch: 24 [48640/60000 (81%)]\tLoss: 102.243637\n",
"Train Epoch: 24 [49920/60000 (83%)]\tLoss: 105.403793\n",
"Train Epoch: 24 [51200/60000 (85%)]\tLoss: 101.764359\n",
"Train Epoch: 24 [52480/60000 (87%)]\tLoss: 103.409470\n",
"Train Epoch: 24 [53760/60000 (90%)]\tLoss: 103.561073\n",
"Train Epoch: 24 [55040/60000 (92%)]\tLoss: 102.895164\n",
"Train Epoch: 24 [56320/60000 (94%)]\tLoss: 106.850830\n",
"Train Epoch: 24 [57600/60000 (96%)]\tLoss: 104.767883\n",
"Train Epoch: 24 [58880/60000 (98%)]\tLoss: 104.922401\n",
"====> Epoch: 24 Average loss: 103.5397\n",
"====> Test set loss: 94.3759\n",
"Train Epoch: 25 [0/60000 (0%)]\tLoss: 102.198914\n",
"Train Epoch: 25 [1280/60000 (2%)]\tLoss: 105.116043\n",
"Train Epoch: 25 [2560/60000 (4%)]\tLoss: 102.080460\n",
"Train Epoch: 25 [3840/60000 (6%)]\tLoss: 103.977768\n",
"Train Epoch: 25 [5120/60000 (9%)]\tLoss: 105.688461\n",
"Train Epoch: 25 [6400/60000 (11%)]\tLoss: 105.195526\n",
"Train Epoch: 25 [7680/60000 (13%)]\tLoss: 100.291199\n",
"Train Epoch: 25 [8960/60000 (15%)]\tLoss: 100.750702\n",
"Train Epoch: 25 [10240/60000 (17%)]\tLoss: 103.813522\n",
"Train Epoch: 25 [11520/60000 (19%)]\tLoss: 103.806229\n",
"Train Epoch: 25 [12800/60000 (21%)]\tLoss: 101.179474\n",
"Train Epoch: 25 [14080/60000 (23%)]\tLoss: 100.056305\n",
"Train Epoch: 25 [15360/60000 (26%)]\tLoss: 105.056610\n",
"Train Epoch: 25 [16640/60000 (28%)]\tLoss: 101.848495\n",
"Train Epoch: 25 [17920/60000 (30%)]\tLoss: 104.709854\n",
"Train Epoch: 25 [19200/60000 (32%)]\tLoss: 107.049286\n",
"Train Epoch: 25 [20480/60000 (34%)]\tLoss: 104.179977\n",
"Train Epoch: 25 [21760/60000 (36%)]\tLoss: 103.476624\n",
"Train Epoch: 25 [23040/60000 (38%)]\tLoss: 103.573990\n",
"Train Epoch: 25 [24320/60000 (41%)]\tLoss: 102.072044\n",
"Train Epoch: 25 [25600/60000 (43%)]\tLoss: 106.000359\n",
"Train Epoch: 25 [26880/60000 (45%)]\tLoss: 105.610405\n",
"Train Epoch: 25 [28160/60000 (47%)]\tLoss: 107.170837\n",
"Train Epoch: 25 [29440/60000 (49%)]\tLoss: 103.525429\n",
"Train Epoch: 25 [30720/60000 (51%)]\tLoss: 104.674438\n",
"Train Epoch: 25 [32000/60000 (53%)]\tLoss: 101.584694\n",
"Train Epoch: 25 [33280/60000 (55%)]\tLoss: 102.185234\n",
"Train Epoch: 25 [34560/60000 (58%)]\tLoss: 98.784088\n",
"Train Epoch: 25 [35840/60000 (60%)]\tLoss: 102.135811\n",
"Train Epoch: 25 [37120/60000 (62%)]\tLoss: 102.541100\n",
"Train Epoch: 25 [38400/60000 (64%)]\tLoss: 104.869949\n",
"Train Epoch: 25 [39680/60000 (66%)]\tLoss: 103.686691\n",
"Train Epoch: 25 [40960/60000 (68%)]\tLoss: 105.590836\n",
"Train Epoch: 25 [42240/60000 (70%)]\tLoss: 106.465179\n",
"Train Epoch: 25 [43520/60000 (72%)]\tLoss: 101.347870\n",
"Train Epoch: 25 [44800/60000 (75%)]\tLoss: 102.132462\n",
"Train Epoch: 25 [46080/60000 (77%)]\tLoss: 102.492203\n",
"Train Epoch: 25 [47360/60000 (79%)]\tLoss: 104.324768\n",
"Train Epoch: 25 [48640/60000 (81%)]\tLoss: 104.302826\n",
"Train Epoch: 25 [49920/60000 (83%)]\tLoss: 100.928421\n",
"Train Epoch: 25 [51200/60000 (85%)]\tLoss: 103.449188\n",
"Train Epoch: 25 [52480/60000 (87%)]\tLoss: 104.911469\n",
"Train Epoch: 25 [53760/60000 (90%)]\tLoss: 107.575394\n",
"Train Epoch: 25 [55040/60000 (92%)]\tLoss: 105.278923\n",
"Train Epoch: 25 [56320/60000 (94%)]\tLoss: 101.161697\n",
"Train Epoch: 25 [57600/60000 (96%)]\tLoss: 105.973465\n",
"Train Epoch: 25 [58880/60000 (98%)]\tLoss: 105.230141\n",
"====> Epoch: 25 Average loss: 103.4306\n",
"====> Test set loss: 94.4110\n",
"Train Epoch: 26 [0/60000 (0%)]\tLoss: 107.074768\n",
"Train Epoch: 26 [1280/60000 (2%)]\tLoss: 102.544975\n",
"Train Epoch: 26 [2560/60000 (4%)]\tLoss: 100.405411\n",
"Train Epoch: 26 [3840/60000 (6%)]\tLoss: 101.408974\n",
"Train Epoch: 26 [5120/60000 (9%)]\tLoss: 102.811951\n",
"Train Epoch: 26 [6400/60000 (11%)]\tLoss: 99.819717\n",
"Train Epoch: 26 [7680/60000 (13%)]\tLoss: 103.185310\n",
"Train Epoch: 26 [8960/60000 (15%)]\tLoss: 105.762634\n",
"Train Epoch: 26 [10240/60000 (17%)]\tLoss: 108.500076\n",
"Train Epoch: 26 [11520/60000 (19%)]\tLoss: 103.506012\n",
"Train Epoch: 26 [12800/60000 (21%)]\tLoss: 99.703903\n",
"Train Epoch: 26 [14080/60000 (23%)]\tLoss: 100.508820\n",
"Train Epoch: 26 [15360/60000 (26%)]\tLoss: 103.969757\n",
"Train Epoch: 26 [16640/60000 (28%)]\tLoss: 101.339409\n",
"Train Epoch: 26 [17920/60000 (30%)]\tLoss: 103.301735\n",
"Train Epoch: 26 [19200/60000 (32%)]\tLoss: 104.519264\n",
"Train Epoch: 26 [20480/60000 (34%)]\tLoss: 102.107567\n",
"Train Epoch: 26 [21760/60000 (36%)]\tLoss: 102.995262\n",
"Train Epoch: 26 [23040/60000 (38%)]\tLoss: 107.785172\n",
"Train Epoch: 26 [24320/60000 (41%)]\tLoss: 103.272537\n",
"Train Epoch: 26 [25600/60000 (43%)]\tLoss: 102.950859\n",
"Train Epoch: 26 [26880/60000 (45%)]\tLoss: 105.254883\n",
"Train Epoch: 26 [28160/60000 (47%)]\tLoss: 102.291672\n",
"Train Epoch: 26 [29440/60000 (49%)]\tLoss: 104.446312\n",
"Train Epoch: 26 [30720/60000 (51%)]\tLoss: 101.731506\n",
"Train Epoch: 26 [32000/60000 (53%)]\tLoss: 104.395454\n",
"Train Epoch: 26 [33280/60000 (55%)]\tLoss: 109.256485\n",
"Train Epoch: 26 [34560/60000 (58%)]\tLoss: 101.511078\n",
"Train Epoch: 26 [35840/60000 (60%)]\tLoss: 107.129677\n",
"Train Epoch: 26 [37120/60000 (62%)]\tLoss: 104.911179\n",
"Train Epoch: 26 [38400/60000 (64%)]\tLoss: 104.914864\n",
"Train Epoch: 26 [39680/60000 (66%)]\tLoss: 106.637398\n",
"Train Epoch: 26 [40960/60000 (68%)]\tLoss: 105.326752\n",
"Train Epoch: 26 [42240/60000 (70%)]\tLoss: 99.830185\n",
"Train Epoch: 26 [43520/60000 (72%)]\tLoss: 100.729469\n",
"Train Epoch: 26 [44800/60000 (75%)]\tLoss: 102.284378\n",
"Train Epoch: 26 [46080/60000 (77%)]\tLoss: 105.378082\n",
"Train Epoch: 26 [47360/60000 (79%)]\tLoss: 104.141212\n",
"Train Epoch: 26 [48640/60000 (81%)]\tLoss: 105.968903\n",
"Train Epoch: 26 [49920/60000 (83%)]\tLoss: 104.775894\n",
"Train Epoch: 26 [51200/60000 (85%)]\tLoss: 100.210144\n",
"Train Epoch: 26 [52480/60000 (87%)]\tLoss: 102.727631\n",
"Train Epoch: 26 [53760/60000 (90%)]\tLoss: 107.503616\n",
"Train Epoch: 26 [55040/60000 (92%)]\tLoss: 101.090424\n",
"Train Epoch: 26 [56320/60000 (94%)]\tLoss: 103.285988\n",
"Train Epoch: 26 [57600/60000 (96%)]\tLoss: 106.796646\n",
"Train Epoch: 26 [58880/60000 (98%)]\tLoss: 102.164787\n",
"====> Epoch: 26 Average loss: 103.3652\n",
"====> Test set loss: 94.4900\n",
"Train Epoch: 27 [0/60000 (0%)]\tLoss: 101.381927\n",
"Train Epoch: 27 [1280/60000 (2%)]\tLoss: 104.742531\n",
"Train Epoch: 27 [2560/60000 (4%)]\tLoss: 94.309929\n",
"Train Epoch: 27 [3840/60000 (6%)]\tLoss: 103.755943\n",
"Train Epoch: 27 [5120/60000 (9%)]\tLoss: 105.219170\n",
"Train Epoch: 27 [6400/60000 (11%)]\tLoss: 106.143021\n",
"Train Epoch: 27 [7680/60000 (13%)]\tLoss: 102.445221\n",
"Train Epoch: 27 [8960/60000 (15%)]\tLoss: 107.096573\n",
"Train Epoch: 27 [10240/60000 (17%)]\tLoss: 99.928207\n",
"Train Epoch: 27 [11520/60000 (19%)]\tLoss: 100.244781\n",
"Train Epoch: 27 [12800/60000 (21%)]\tLoss: 103.753227\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 27 [14080/60000 (23%)]\tLoss: 102.033691\n",
"Train Epoch: 27 [15360/60000 (26%)]\tLoss: 105.723450\n",
"Train Epoch: 27 [16640/60000 (28%)]\tLoss: 103.674812\n",
"Train Epoch: 27 [17920/60000 (30%)]\tLoss: 104.028336\n",
"Train Epoch: 27 [19200/60000 (32%)]\tLoss: 101.864418\n",
"Train Epoch: 27 [20480/60000 (34%)]\tLoss: 98.689529\n",
"Train Epoch: 27 [21760/60000 (36%)]\tLoss: 103.295654\n",
"Train Epoch: 27 [23040/60000 (38%)]\tLoss: 100.828979\n",
"Train Epoch: 27 [24320/60000 (41%)]\tLoss: 102.848297\n",
"Train Epoch: 27 [25600/60000 (43%)]\tLoss: 105.961380\n",
"Train Epoch: 27 [26880/60000 (45%)]\tLoss: 105.533073\n",
"Train Epoch: 27 [28160/60000 (47%)]\tLoss: 104.602631\n",
"Train Epoch: 27 [29440/60000 (49%)]\tLoss: 104.459045\n",
"Train Epoch: 27 [30720/60000 (51%)]\tLoss: 100.838699\n",
"Train Epoch: 27 [32000/60000 (53%)]\tLoss: 102.116211\n",
"Train Epoch: 27 [33280/60000 (55%)]\tLoss: 106.932770\n",
"Train Epoch: 27 [34560/60000 (58%)]\tLoss: 107.946411\n",
"Train Epoch: 27 [35840/60000 (60%)]\tLoss: 106.758621\n",
"Train Epoch: 27 [37120/60000 (62%)]\tLoss: 104.510231\n",
"Train Epoch: 27 [38400/60000 (64%)]\tLoss: 106.909424\n",
"Train Epoch: 27 [39680/60000 (66%)]\tLoss: 106.115189\n",
"Train Epoch: 27 [40960/60000 (68%)]\tLoss: 104.731613\n",
"Train Epoch: 27 [42240/60000 (70%)]\tLoss: 104.985573\n",
"Train Epoch: 27 [43520/60000 (72%)]\tLoss: 101.236893\n",
"Train Epoch: 27 [44800/60000 (75%)]\tLoss: 100.367493\n",
"Train Epoch: 27 [46080/60000 (77%)]\tLoss: 103.064453\n",
"Train Epoch: 27 [47360/60000 (79%)]\tLoss: 103.365303\n",
"Train Epoch: 27 [48640/60000 (81%)]\tLoss: 103.049278\n",
"Train Epoch: 27 [49920/60000 (83%)]\tLoss: 105.645386\n",
"Train Epoch: 27 [51200/60000 (85%)]\tLoss: 102.993904\n",
"Train Epoch: 27 [52480/60000 (87%)]\tLoss: 102.020294\n",
"Train Epoch: 27 [53760/60000 (90%)]\tLoss: 102.289726\n",
"Train Epoch: 27 [55040/60000 (92%)]\tLoss: 102.944626\n",
"Train Epoch: 27 [56320/60000 (94%)]\tLoss: 100.389801\n",
"Train Epoch: 27 [57600/60000 (96%)]\tLoss: 105.053444\n",
"Train Epoch: 27 [58880/60000 (98%)]\tLoss: 104.194214\n",
"====> Epoch: 27 Average loss: 103.2753\n",
"====> Test set loss: 94.4661\n",
"Train Epoch: 28 [0/60000 (0%)]\tLoss: 100.644638\n",
"Train Epoch: 28 [1280/60000 (2%)]\tLoss: 101.625801\n",
"Train Epoch: 28 [2560/60000 (4%)]\tLoss: 103.832520\n",
"Train Epoch: 28 [3840/60000 (6%)]\tLoss: 102.438652\n",
"Train Epoch: 28 [5120/60000 (9%)]\tLoss: 100.761475\n",
"Train Epoch: 28 [6400/60000 (11%)]\tLoss: 105.036125\n",
"Train Epoch: 28 [7680/60000 (13%)]\tLoss: 104.296326\n",
"Train Epoch: 28 [8960/60000 (15%)]\tLoss: 101.040573\n",
"Train Epoch: 28 [10240/60000 (17%)]\tLoss: 103.014061\n",
"Train Epoch: 28 [11520/60000 (19%)]\tLoss: 100.406540\n",
"Train Epoch: 28 [12800/60000 (21%)]\tLoss: 101.917313\n",
"Train Epoch: 28 [14080/60000 (23%)]\tLoss: 101.618721\n",
"Train Epoch: 28 [15360/60000 (26%)]\tLoss: 106.400131\n",
"Train Epoch: 28 [16640/60000 (28%)]\tLoss: 101.629730\n",
"Train Epoch: 28 [17920/60000 (30%)]\tLoss: 104.868927\n",
"Train Epoch: 28 [19200/60000 (32%)]\tLoss: 102.494331\n",
"Train Epoch: 28 [20480/60000 (34%)]\tLoss: 105.108078\n",
"Train Epoch: 28 [21760/60000 (36%)]\tLoss: 100.932198\n",
"Train Epoch: 28 [23040/60000 (38%)]\tLoss: 101.964653\n",
"Train Epoch: 28 [24320/60000 (41%)]\tLoss: 103.678040\n",
"Train Epoch: 28 [25600/60000 (43%)]\tLoss: 98.703278\n",
"Train Epoch: 28 [26880/60000 (45%)]\tLoss: 104.588394\n",
"Train Epoch: 28 [28160/60000 (47%)]\tLoss: 103.233749\n",
"Train Epoch: 28 [29440/60000 (49%)]\tLoss: 103.634468\n",
"Train Epoch: 28 [30720/60000 (51%)]\tLoss: 102.763664\n",
"Train Epoch: 28 [32000/60000 (53%)]\tLoss: 106.021927\n",
"Train Epoch: 28 [33280/60000 (55%)]\tLoss: 100.631546\n",
"Train Epoch: 28 [34560/60000 (58%)]\tLoss: 104.347748\n",
"Train Epoch: 28 [35840/60000 (60%)]\tLoss: 107.605148\n",
"Train Epoch: 28 [37120/60000 (62%)]\tLoss: 101.598267\n",
"Train Epoch: 28 [38400/60000 (64%)]\tLoss: 99.698067\n",
"Train Epoch: 28 [39680/60000 (66%)]\tLoss: 102.835541\n",
"Train Epoch: 28 [40960/60000 (68%)]\tLoss: 101.120117\n",
"Train Epoch: 28 [42240/60000 (70%)]\tLoss: 101.134529\n",
"Train Epoch: 28 [43520/60000 (72%)]\tLoss: 102.743317\n",
"Train Epoch: 28 [44800/60000 (75%)]\tLoss: 98.372299\n",
"Train Epoch: 28 [46080/60000 (77%)]\tLoss: 104.122940\n",
"Train Epoch: 28 [47360/60000 (79%)]\tLoss: 99.647400\n",
"Train Epoch: 28 [48640/60000 (81%)]\tLoss: 101.829391\n",
"Train Epoch: 28 [49920/60000 (83%)]\tLoss: 98.553329\n",
"Train Epoch: 28 [51200/60000 (85%)]\tLoss: 101.648506\n",
"Train Epoch: 28 [52480/60000 (87%)]\tLoss: 102.022858\n",
"Train Epoch: 28 [53760/60000 (90%)]\tLoss: 107.793137\n",
"Train Epoch: 28 [55040/60000 (92%)]\tLoss: 102.996277\n",
"Train Epoch: 28 [56320/60000 (94%)]\tLoss: 104.498550\n",
"Train Epoch: 28 [57600/60000 (96%)]\tLoss: 103.703094\n",
"Train Epoch: 28 [58880/60000 (98%)]\tLoss: 104.726807\n",
"====> Epoch: 28 Average loss: 103.1555\n",
"====> Test set loss: 94.4661\n",
"Train Epoch: 29 [0/60000 (0%)]\tLoss: 99.004440\n",
"Train Epoch: 29 [1280/60000 (2%)]\tLoss: 103.912415\n",
"Train Epoch: 29 [2560/60000 (4%)]\tLoss: 105.079163\n",
"Train Epoch: 29 [3840/60000 (6%)]\tLoss: 99.967026\n",
"Train Epoch: 29 [5120/60000 (9%)]\tLoss: 102.494232\n",
"Train Epoch: 29 [6400/60000 (11%)]\tLoss: 97.817444\n",
"Train Epoch: 29 [7680/60000 (13%)]\tLoss: 102.238396\n",
"Train Epoch: 29 [8960/60000 (15%)]\tLoss: 104.614754\n",
"Train Epoch: 29 [10240/60000 (17%)]\tLoss: 107.444473\n",
"Train Epoch: 29 [11520/60000 (19%)]\tLoss: 104.569809\n",
"Train Epoch: 29 [12800/60000 (21%)]\tLoss: 103.840149\n",
"Train Epoch: 29 [14080/60000 (23%)]\tLoss: 101.077438\n",
"Train Epoch: 29 [15360/60000 (26%)]\tLoss: 104.260727\n",
"Train Epoch: 29 [16640/60000 (28%)]\tLoss: 100.858803\n",
"Train Epoch: 29 [17920/60000 (30%)]\tLoss: 100.295280\n",
"Train Epoch: 29 [19200/60000 (32%)]\tLoss: 103.229454\n",
"Train Epoch: 29 [20480/60000 (34%)]\tLoss: 106.425171\n",
"Train Epoch: 29 [21760/60000 (36%)]\tLoss: 99.184685\n",
"Train Epoch: 29 [23040/60000 (38%)]\tLoss: 104.602516\n",
"Train Epoch: 29 [24320/60000 (41%)]\tLoss: 103.069473\n",
"Train Epoch: 29 [25600/60000 (43%)]\tLoss: 102.088127\n",
"Train Epoch: 29 [26880/60000 (45%)]\tLoss: 102.601418\n",
"Train Epoch: 29 [28160/60000 (47%)]\tLoss: 101.386627\n",
"Train Epoch: 29 [29440/60000 (49%)]\tLoss: 103.846779\n",
"Train Epoch: 29 [30720/60000 (51%)]\tLoss: 105.823273\n",
"Train Epoch: 29 [32000/60000 (53%)]\tLoss: 101.627647\n",
"Train Epoch: 29 [33280/60000 (55%)]\tLoss: 104.012184\n",
"Train Epoch: 29 [34560/60000 (58%)]\tLoss: 101.499969\n",
"Train Epoch: 29 [35840/60000 (60%)]\tLoss: 103.619957\n",
"Train Epoch: 29 [37120/60000 (62%)]\tLoss: 99.631393\n",
"Train Epoch: 29 [38400/60000 (64%)]\tLoss: 101.974625\n",
"Train Epoch: 29 [39680/60000 (66%)]\tLoss: 104.006256\n",
"Train Epoch: 29 [40960/60000 (68%)]\tLoss: 100.822441\n",
"Train Epoch: 29 [42240/60000 (70%)]\tLoss: 102.323441\n",
"Train Epoch: 29 [43520/60000 (72%)]\tLoss: 105.361176\n",
"Train Epoch: 29 [44800/60000 (75%)]\tLoss: 104.999649\n",
"Train Epoch: 29 [46080/60000 (77%)]\tLoss: 102.604126\n",
"Train Epoch: 29 [47360/60000 (79%)]\tLoss: 105.641693\n",
"Train Epoch: 29 [48640/60000 (81%)]\tLoss: 99.946167\n",
"Train Epoch: 29 [49920/60000 (83%)]\tLoss: 101.615143\n",
"Train Epoch: 29 [51200/60000 (85%)]\tLoss: 104.506935\n",
"Train Epoch: 29 [52480/60000 (87%)]\tLoss: 105.186523\n",
"Train Epoch: 29 [53760/60000 (90%)]\tLoss: 107.885445\n",
"Train Epoch: 29 [55040/60000 (92%)]\tLoss: 104.719086\n",
"Train Epoch: 29 [56320/60000 (94%)]\tLoss: 101.654198\n",
"Train Epoch: 29 [57600/60000 (96%)]\tLoss: 104.491936\n",
"Train Epoch: 29 [58880/60000 (98%)]\tLoss: 104.274124\n",
"====> Epoch: 29 Average loss: 103.0947\n",
"====> Test set loss: 94.7723\n",
"Train Epoch: 30 [0/60000 (0%)]\tLoss: 104.510445\n",
"Train Epoch: 30 [1280/60000 (2%)]\tLoss: 103.580719\n",
"Train Epoch: 30 [2560/60000 (4%)]\tLoss: 100.375305\n",
"Train Epoch: 30 [3840/60000 (6%)]\tLoss: 100.861115\n",
"Train Epoch: 30 [5120/60000 (9%)]\tLoss: 101.808212\n",
"Train Epoch: 30 [6400/60000 (11%)]\tLoss: 103.851181\n",
"Train Epoch: 30 [7680/60000 (13%)]\tLoss: 104.053299\n",
"Train Epoch: 30 [8960/60000 (15%)]\tLoss: 100.017151\n",
"Train Epoch: 30 [10240/60000 (17%)]\tLoss: 96.979202\n",
"Train Epoch: 30 [11520/60000 (19%)]\tLoss: 107.496170\n",
"Train Epoch: 30 [12800/60000 (21%)]\tLoss: 106.489662\n",
"Train Epoch: 30 [14080/60000 (23%)]\tLoss: 100.353958\n",
"Train Epoch: 30 [15360/60000 (26%)]\tLoss: 99.620552\n",
"Train Epoch: 30 [16640/60000 (28%)]\tLoss: 106.481880\n",
"Train Epoch: 30 [17920/60000 (30%)]\tLoss: 105.637299\n",
"Train Epoch: 30 [19200/60000 (32%)]\tLoss: 103.856529\n",
"Train Epoch: 30 [20480/60000 (34%)]\tLoss: 104.206490\n",
"Train Epoch: 30 [21760/60000 (36%)]\tLoss: 104.863930\n",
"Train Epoch: 30 [23040/60000 (38%)]\tLoss: 105.725616\n",
"Train Epoch: 30 [24320/60000 (41%)]\tLoss: 103.774948\n",
"Train Epoch: 30 [25600/60000 (43%)]\tLoss: 101.023720\n",
"Train Epoch: 30 [26880/60000 (45%)]\tLoss: 103.854187\n",
"Train Epoch: 30 [28160/60000 (47%)]\tLoss: 103.035072\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 30 [29440/60000 (49%)]\tLoss: 105.189697\n",
"Train Epoch: 30 [30720/60000 (51%)]\tLoss: 103.738297\n",
"Train Epoch: 30 [32000/60000 (53%)]\tLoss: 102.243874\n",
"Train Epoch: 30 [33280/60000 (55%)]\tLoss: 100.793930\n",
"Train Epoch: 30 [34560/60000 (58%)]\tLoss: 101.006073\n",
"Train Epoch: 30 [35840/60000 (60%)]\tLoss: 100.299820\n",
"Train Epoch: 30 [37120/60000 (62%)]\tLoss: 105.039665\n",
"Train Epoch: 30 [38400/60000 (64%)]\tLoss: 104.726700\n",
"Train Epoch: 30 [39680/60000 (66%)]\tLoss: 102.216049\n",
"Train Epoch: 30 [40960/60000 (68%)]\tLoss: 102.590996\n",
"Train Epoch: 30 [42240/60000 (70%)]\tLoss: 102.986023\n",
"Train Epoch: 30 [43520/60000 (72%)]\tLoss: 101.755363\n",
"Train Epoch: 30 [44800/60000 (75%)]\tLoss: 103.748230\n",
"Train Epoch: 30 [46080/60000 (77%)]\tLoss: 103.498657\n",
"Train Epoch: 30 [47360/60000 (79%)]\tLoss: 106.289551\n",
"Train Epoch: 30 [48640/60000 (81%)]\tLoss: 100.580566\n",
"Train Epoch: 30 [49920/60000 (83%)]\tLoss: 103.813187\n",
"Train Epoch: 30 [51200/60000 (85%)]\tLoss: 102.707642\n",
"Train Epoch: 30 [52480/60000 (87%)]\tLoss: 101.555153\n",
"Train Epoch: 30 [53760/60000 (90%)]\tLoss: 102.361053\n",
"Train Epoch: 30 [55040/60000 (92%)]\tLoss: 104.743202\n",
"Train Epoch: 30 [56320/60000 (94%)]\tLoss: 103.316818\n",
"Train Epoch: 30 [57600/60000 (96%)]\tLoss: 100.256546\n",
"Train Epoch: 30 [58880/60000 (98%)]\tLoss: 100.651413\n",
"====> Epoch: 30 Average loss: 102.9747\n",
"====> Test set loss: 94.6808\n",
"Train Epoch: 31 [0/60000 (0%)]\tLoss: 106.260284\n",
"Train Epoch: 31 [1280/60000 (2%)]\tLoss: 100.983688\n",
"Train Epoch: 31 [2560/60000 (4%)]\tLoss: 99.051712\n",
"Train Epoch: 31 [3840/60000 (6%)]\tLoss: 102.525192\n",
"Train Epoch: 31 [5120/60000 (9%)]\tLoss: 101.834129\n",
"Train Epoch: 31 [6400/60000 (11%)]\tLoss: 102.749687\n",
"Train Epoch: 31 [7680/60000 (13%)]\tLoss: 103.064957\n",
"Train Epoch: 31 [8960/60000 (15%)]\tLoss: 100.196404\n",
"Train Epoch: 31 [10240/60000 (17%)]\tLoss: 100.274101\n",
"Train Epoch: 31 [11520/60000 (19%)]\tLoss: 101.288910\n",
"Train Epoch: 31 [12800/60000 (21%)]\tLoss: 100.815941\n",
"Train Epoch: 31 [14080/60000 (23%)]\tLoss: 103.665405\n",
"Train Epoch: 31 [15360/60000 (26%)]\tLoss: 102.293335\n",
"Train Epoch: 31 [16640/60000 (28%)]\tLoss: 105.344681\n",
"Train Epoch: 31 [17920/60000 (30%)]\tLoss: 104.787323\n",
"Train Epoch: 31 [19200/60000 (32%)]\tLoss: 104.621750\n",
"Train Epoch: 31 [20480/60000 (34%)]\tLoss: 102.050476\n",
"Train Epoch: 31 [21760/60000 (36%)]\tLoss: 102.210297\n",
"Train Epoch: 31 [23040/60000 (38%)]\tLoss: 100.283005\n",
"Train Epoch: 31 [24320/60000 (41%)]\tLoss: 102.696045\n",
"Train Epoch: 31 [25600/60000 (43%)]\tLoss: 106.556152\n",
"Train Epoch: 31 [26880/60000 (45%)]\tLoss: 103.097916\n",
"Train Epoch: 31 [28160/60000 (47%)]\tLoss: 105.397217\n",
"Train Epoch: 31 [29440/60000 (49%)]\tLoss: 106.494415\n",
"Train Epoch: 31 [30720/60000 (51%)]\tLoss: 104.828804\n",
"Train Epoch: 31 [32000/60000 (53%)]\tLoss: 102.408615\n",
"Train Epoch: 31 [33280/60000 (55%)]\tLoss: 101.803101\n",
"Train Epoch: 31 [34560/60000 (58%)]\tLoss: 102.514465\n",
"Train Epoch: 31 [35840/60000 (60%)]\tLoss: 103.191582\n",
"Train Epoch: 31 [37120/60000 (62%)]\tLoss: 105.669594\n",
"Train Epoch: 31 [38400/60000 (64%)]\tLoss: 102.470352\n",
"Train Epoch: 31 [39680/60000 (66%)]\tLoss: 103.161377\n",
"Train Epoch: 31 [40960/60000 (68%)]\tLoss: 103.154190\n",
"Train Epoch: 31 [42240/60000 (70%)]\tLoss: 102.776268\n",
"Train Epoch: 31 [43520/60000 (72%)]\tLoss: 101.496857\n",
"Train Epoch: 31 [44800/60000 (75%)]\tLoss: 103.602203\n",
"Train Epoch: 31 [46080/60000 (77%)]\tLoss: 103.580673\n",
"Train Epoch: 31 [47360/60000 (79%)]\tLoss: 106.230583\n",
"Train Epoch: 31 [48640/60000 (81%)]\tLoss: 101.281662\n",
"Train Epoch: 31 [49920/60000 (83%)]\tLoss: 104.365387\n",
"Train Epoch: 31 [51200/60000 (85%)]\tLoss: 102.391937\n",
"Train Epoch: 31 [52480/60000 (87%)]\tLoss: 106.784386\n",
"Train Epoch: 31 [53760/60000 (90%)]\tLoss: 107.621353\n",
"Train Epoch: 31 [55040/60000 (92%)]\tLoss: 102.200676\n",
"Train Epoch: 31 [56320/60000 (94%)]\tLoss: 102.237328\n",
"Train Epoch: 31 [57600/60000 (96%)]\tLoss: 105.365959\n",
"Train Epoch: 31 [58880/60000 (98%)]\tLoss: 105.042374\n",
"====> Epoch: 31 Average loss: 102.8853\n",
"====> Test set loss: 95.4358\n",
"Train Epoch: 32 [0/60000 (0%)]\tLoss: 101.579269\n",
"Train Epoch: 32 [1280/60000 (2%)]\tLoss: 100.037170\n",
"Train Epoch: 32 [2560/60000 (4%)]\tLoss: 103.868347\n",
"Train Epoch: 32 [3840/60000 (6%)]\tLoss: 101.562103\n",
"Train Epoch: 32 [5120/60000 (9%)]\tLoss: 103.245865\n",
"Train Epoch: 32 [6400/60000 (11%)]\tLoss: 107.293564\n",
"Train Epoch: 32 [7680/60000 (13%)]\tLoss: 99.644020\n",
"Train Epoch: 32 [8960/60000 (15%)]\tLoss: 104.453293\n",
"Train Epoch: 32 [10240/60000 (17%)]\tLoss: 104.953949\n",
"Train Epoch: 32 [11520/60000 (19%)]\tLoss: 104.957886\n",
"Train Epoch: 32 [12800/60000 (21%)]\tLoss: 102.239334\n",
"Train Epoch: 32 [14080/60000 (23%)]\tLoss: 101.672707\n",
"Train Epoch: 32 [15360/60000 (26%)]\tLoss: 102.997101\n",
"Train Epoch: 32 [16640/60000 (28%)]\tLoss: 106.915443\n",
"Train Epoch: 32 [17920/60000 (30%)]\tLoss: 102.967789\n",
"Train Epoch: 32 [19200/60000 (32%)]\tLoss: 104.797447\n",
"Train Epoch: 32 [20480/60000 (34%)]\tLoss: 99.520096\n",
"Train Epoch: 32 [21760/60000 (36%)]\tLoss: 102.081314\n",
"Train Epoch: 32 [23040/60000 (38%)]\tLoss: 105.482948\n",
"Train Epoch: 32 [24320/60000 (41%)]\tLoss: 101.849968\n",
"Train Epoch: 32 [25600/60000 (43%)]\tLoss: 102.978706\n",
"Train Epoch: 32 [26880/60000 (45%)]\tLoss: 102.948868\n",
"Train Epoch: 32 [28160/60000 (47%)]\tLoss: 106.407806\n",
"Train Epoch: 32 [29440/60000 (49%)]\tLoss: 103.515747\n",
"Train Epoch: 32 [30720/60000 (51%)]\tLoss: 102.746239\n",
"Train Epoch: 32 [32000/60000 (53%)]\tLoss: 102.470306\n",
"Train Epoch: 32 [33280/60000 (55%)]\tLoss: 104.724731\n",
"Train Epoch: 32 [34560/60000 (58%)]\tLoss: 101.718445\n",
"Train Epoch: 32 [35840/60000 (60%)]\tLoss: 101.136810\n",
"Train Epoch: 32 [37120/60000 (62%)]\tLoss: 104.042007\n",
"Train Epoch: 32 [38400/60000 (64%)]\tLoss: 99.926407\n",
"Train Epoch: 32 [39680/60000 (66%)]\tLoss: 100.748779\n",
"Train Epoch: 32 [40960/60000 (68%)]\tLoss: 102.932587\n",
"Train Epoch: 32 [42240/60000 (70%)]\tLoss: 103.017838\n",
"Train Epoch: 32 [43520/60000 (72%)]\tLoss: 102.057648\n",
"Train Epoch: 32 [44800/60000 (75%)]\tLoss: 105.086021\n",
"Train Epoch: 32 [46080/60000 (77%)]\tLoss: 100.446625\n",
"Train Epoch: 32 [47360/60000 (79%)]\tLoss: 105.483994\n",
"Train Epoch: 32 [48640/60000 (81%)]\tLoss: 105.163040\n",
"Train Epoch: 32 [49920/60000 (83%)]\tLoss: 103.736893\n",
"Train Epoch: 32 [51200/60000 (85%)]\tLoss: 101.682922\n",
"Train Epoch: 32 [52480/60000 (87%)]\tLoss: 103.838707\n",
"Train Epoch: 32 [53760/60000 (90%)]\tLoss: 103.089012\n",
"Train Epoch: 32 [55040/60000 (92%)]\tLoss: 99.187469\n",
"Train Epoch: 32 [56320/60000 (94%)]\tLoss: 104.133957\n",
"Train Epoch: 32 [57600/60000 (96%)]\tLoss: 102.174500\n",
"Train Epoch: 32 [58880/60000 (98%)]\tLoss: 102.883102\n",
"====> Epoch: 32 Average loss: 102.8926\n",
"====> Test set loss: 93.9834\n",
"Train Epoch: 33 [0/60000 (0%)]\tLoss: 103.501724\n",
"Train Epoch: 33 [1280/60000 (2%)]\tLoss: 101.748047\n",
"Train Epoch: 33 [2560/60000 (4%)]\tLoss: 101.837112\n",
"Train Epoch: 33 [3840/60000 (6%)]\tLoss: 103.030952\n",
"Train Epoch: 33 [5120/60000 (9%)]\tLoss: 104.404854\n",
"Train Epoch: 33 [6400/60000 (11%)]\tLoss: 104.721901\n",
"Train Epoch: 33 [7680/60000 (13%)]\tLoss: 103.020767\n",
"Train Epoch: 33 [8960/60000 (15%)]\tLoss: 103.055878\n",
"Train Epoch: 33 [10240/60000 (17%)]\tLoss: 102.586334\n",
"Train Epoch: 33 [11520/60000 (19%)]\tLoss: 103.203873\n",
"Train Epoch: 33 [12800/60000 (21%)]\tLoss: 103.624306\n",
"Train Epoch: 33 [14080/60000 (23%)]\tLoss: 105.283783\n",
"Train Epoch: 33 [15360/60000 (26%)]\tLoss: 98.970680\n",
"Train Epoch: 33 [16640/60000 (28%)]\tLoss: 103.331726\n",
"Train Epoch: 33 [17920/60000 (30%)]\tLoss: 102.047523\n",
"Train Epoch: 33 [19200/60000 (32%)]\tLoss: 101.249718\n",
"Train Epoch: 33 [20480/60000 (34%)]\tLoss: 104.251938\n",
"Train Epoch: 33 [21760/60000 (36%)]\tLoss: 104.125511\n",
"Train Epoch: 33 [23040/60000 (38%)]\tLoss: 101.643303\n",
"Train Epoch: 33 [24320/60000 (41%)]\tLoss: 97.404892\n",
"Train Epoch: 33 [25600/60000 (43%)]\tLoss: 101.624832\n",
"Train Epoch: 33 [26880/60000 (45%)]\tLoss: 102.734047\n",
"Train Epoch: 33 [28160/60000 (47%)]\tLoss: 103.634148\n",
"Train Epoch: 33 [29440/60000 (49%)]\tLoss: 102.871521\n",
"Train Epoch: 33 [30720/60000 (51%)]\tLoss: 100.456665\n",
"Train Epoch: 33 [32000/60000 (53%)]\tLoss: 101.299347\n",
"Train Epoch: 33 [33280/60000 (55%)]\tLoss: 105.743607\n",
"Train Epoch: 33 [34560/60000 (58%)]\tLoss: 99.640251\n",
"Train Epoch: 33 [35840/60000 (60%)]\tLoss: 101.010269\n",
"Train Epoch: 33 [37120/60000 (62%)]\tLoss: 99.941956\n",
"Train Epoch: 33 [38400/60000 (64%)]\tLoss: 102.526962\n",
"Train Epoch: 33 [39680/60000 (66%)]\tLoss: 101.161636\n",
"Train Epoch: 33 [40960/60000 (68%)]\tLoss: 104.565758\n",
"Train Epoch: 33 [42240/60000 (70%)]\tLoss: 100.718987\n",
"Train Epoch: 33 [43520/60000 (72%)]\tLoss: 103.723297\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 33 [44800/60000 (75%)]\tLoss: 103.518753\n",
"Train Epoch: 33 [46080/60000 (77%)]\tLoss: 106.353477\n",
"Train Epoch: 33 [47360/60000 (79%)]\tLoss: 100.958206\n",
"Train Epoch: 33 [48640/60000 (81%)]\tLoss: 100.656128\n",
"Train Epoch: 33 [49920/60000 (83%)]\tLoss: 99.922485\n",
"Train Epoch: 33 [51200/60000 (85%)]\tLoss: 97.468369\n",
"Train Epoch: 33 [52480/60000 (87%)]\tLoss: 103.725891\n",
"Train Epoch: 33 [53760/60000 (90%)]\tLoss: 99.803757\n",
"Train Epoch: 33 [55040/60000 (92%)]\tLoss: 103.704102\n",
"Train Epoch: 33 [56320/60000 (94%)]\tLoss: 102.970772\n",
"Train Epoch: 33 [57600/60000 (96%)]\tLoss: 98.506866\n",
"Train Epoch: 33 [58880/60000 (98%)]\tLoss: 102.915947\n",
"====> Epoch: 33 Average loss: 102.7575\n",
"====> Test set loss: 94.0403\n",
"Train Epoch: 34 [0/60000 (0%)]\tLoss: 102.135330\n",
"Train Epoch: 34 [1280/60000 (2%)]\tLoss: 104.776230\n",
"Train Epoch: 34 [2560/60000 (4%)]\tLoss: 104.342705\n",
"Train Epoch: 34 [3840/60000 (6%)]\tLoss: 102.189751\n",
"Train Epoch: 34 [5120/60000 (9%)]\tLoss: 103.982666\n",
"Train Epoch: 34 [6400/60000 (11%)]\tLoss: 101.942039\n",
"Train Epoch: 34 [7680/60000 (13%)]\tLoss: 103.039711\n",
"Train Epoch: 34 [8960/60000 (15%)]\tLoss: 104.503906\n",
"Train Epoch: 34 [10240/60000 (17%)]\tLoss: 103.285400\n",
"Train Epoch: 34 [11520/60000 (19%)]\tLoss: 103.595200\n",
"Train Epoch: 34 [12800/60000 (21%)]\tLoss: 101.024551\n",
"Train Epoch: 34 [14080/60000 (23%)]\tLoss: 100.650856\n",
"Train Epoch: 34 [15360/60000 (26%)]\tLoss: 102.152054\n",
"Train Epoch: 34 [16640/60000 (28%)]\tLoss: 101.572212\n",
"Train Epoch: 34 [17920/60000 (30%)]\tLoss: 103.438919\n",
"Train Epoch: 34 [19200/60000 (32%)]\tLoss: 106.485031\n",
"Train Epoch: 34 [20480/60000 (34%)]\tLoss: 104.505440\n",
"Train Epoch: 34 [21760/60000 (36%)]\tLoss: 102.498589\n",
"Train Epoch: 34 [23040/60000 (38%)]\tLoss: 102.939148\n",
"Train Epoch: 34 [24320/60000 (41%)]\tLoss: 101.995377\n",
"Train Epoch: 34 [25600/60000 (43%)]\tLoss: 101.838417\n",
"Train Epoch: 34 [26880/60000 (45%)]\tLoss: 103.703140\n",
"Train Epoch: 34 [28160/60000 (47%)]\tLoss: 102.615326\n",
"Train Epoch: 34 [29440/60000 (49%)]\tLoss: 100.137512\n",
"Train Epoch: 34 [30720/60000 (51%)]\tLoss: 103.218529\n",
"Train Epoch: 34 [32000/60000 (53%)]\tLoss: 107.078674\n",
"Train Epoch: 34 [33280/60000 (55%)]\tLoss: 102.956566\n",
"Train Epoch: 34 [34560/60000 (58%)]\tLoss: 103.629379\n",
"Train Epoch: 34 [35840/60000 (60%)]\tLoss: 101.191109\n",
"Train Epoch: 34 [37120/60000 (62%)]\tLoss: 102.440681\n",
"Train Epoch: 34 [38400/60000 (64%)]\tLoss: 101.721649\n",
"Train Epoch: 34 [39680/60000 (66%)]\tLoss: 103.350372\n",
"Train Epoch: 34 [40960/60000 (68%)]\tLoss: 102.478783\n",
"Train Epoch: 34 [42240/60000 (70%)]\tLoss: 98.929001\n",
"Train Epoch: 34 [43520/60000 (72%)]\tLoss: 100.411026\n",
"Train Epoch: 34 [44800/60000 (75%)]\tLoss: 101.370079\n",
"Train Epoch: 34 [46080/60000 (77%)]\tLoss: 105.463905\n",
"Train Epoch: 34 [47360/60000 (79%)]\tLoss: 104.421440\n",
"Train Epoch: 34 [48640/60000 (81%)]\tLoss: 99.718079\n",
"Train Epoch: 34 [49920/60000 (83%)]\tLoss: 106.140373\n",
"Train Epoch: 34 [51200/60000 (85%)]\tLoss: 103.417580\n",
"Train Epoch: 34 [52480/60000 (87%)]\tLoss: 102.114838\n",
"Train Epoch: 34 [53760/60000 (90%)]\tLoss: 99.470337\n",
"Train Epoch: 34 [55040/60000 (92%)]\tLoss: 102.716415\n",
"Train Epoch: 34 [56320/60000 (94%)]\tLoss: 103.250549\n",
"Train Epoch: 34 [57600/60000 (96%)]\tLoss: 102.866333\n",
"Train Epoch: 34 [58880/60000 (98%)]\tLoss: 105.160843\n",
"====> Epoch: 34 Average loss: 102.7147\n",
"====> Test set loss: 94.1706\n",
"Train Epoch: 35 [0/60000 (0%)]\tLoss: 103.144867\n",
"Train Epoch: 35 [1280/60000 (2%)]\tLoss: 103.049797\n",
"Train Epoch: 35 [2560/60000 (4%)]\tLoss: 105.713799\n",
"Train Epoch: 35 [3840/60000 (6%)]\tLoss: 102.904541\n",
"Train Epoch: 35 [5120/60000 (9%)]\tLoss: 104.323692\n",
"Train Epoch: 35 [6400/60000 (11%)]\tLoss: 102.611534\n",
"Train Epoch: 35 [7680/60000 (13%)]\tLoss: 102.849838\n",
"Train Epoch: 35 [8960/60000 (15%)]\tLoss: 100.949066\n",
"Train Epoch: 35 [10240/60000 (17%)]\tLoss: 103.127655\n",
"Train Epoch: 35 [11520/60000 (19%)]\tLoss: 101.555626\n",
"Train Epoch: 35 [12800/60000 (21%)]\tLoss: 104.534615\n",
"Train Epoch: 35 [14080/60000 (23%)]\tLoss: 102.354126\n",
"Train Epoch: 35 [15360/60000 (26%)]\tLoss: 103.034958\n",
"Train Epoch: 35 [16640/60000 (28%)]\tLoss: 100.498474\n",
"Train Epoch: 35 [17920/60000 (30%)]\tLoss: 99.416634\n",
"Train Epoch: 35 [19200/60000 (32%)]\tLoss: 104.120331\n",
"Train Epoch: 35 [20480/60000 (34%)]\tLoss: 101.668854\n",
"Train Epoch: 35 [21760/60000 (36%)]\tLoss: 100.764709\n",
"Train Epoch: 35 [23040/60000 (38%)]\tLoss: 102.255714\n",
"Train Epoch: 35 [24320/60000 (41%)]\tLoss: 104.182861\n",
"Train Epoch: 35 [25600/60000 (43%)]\tLoss: 98.452972\n",
"Train Epoch: 35 [26880/60000 (45%)]\tLoss: 100.950890\n",
"Train Epoch: 35 [28160/60000 (47%)]\tLoss: 103.049835\n",
"Train Epoch: 35 [29440/60000 (49%)]\tLoss: 101.437103\n",
"Train Epoch: 35 [30720/60000 (51%)]\tLoss: 102.487740\n",
"Train Epoch: 35 [32000/60000 (53%)]\tLoss: 106.532089\n",
"Train Epoch: 35 [33280/60000 (55%)]\tLoss: 102.206451\n",
"Train Epoch: 35 [34560/60000 (58%)]\tLoss: 102.167915\n",
"Train Epoch: 35 [35840/60000 (60%)]\tLoss: 100.315216\n",
"Train Epoch: 35 [37120/60000 (62%)]\tLoss: 103.486511\n",
"Train Epoch: 35 [38400/60000 (64%)]\tLoss: 101.809105\n",
"Train Epoch: 35 [39680/60000 (66%)]\tLoss: 104.878403\n",
"Train Epoch: 35 [40960/60000 (68%)]\tLoss: 107.576797\n",
"Train Epoch: 35 [42240/60000 (70%)]\tLoss: 107.239334\n",
"Train Epoch: 35 [43520/60000 (72%)]\tLoss: 104.680298\n",
"Train Epoch: 35 [44800/60000 (75%)]\tLoss: 99.661911\n",
"Train Epoch: 35 [46080/60000 (77%)]\tLoss: 104.690201\n",
"Train Epoch: 35 [47360/60000 (79%)]\tLoss: 104.521683\n",
"Train Epoch: 35 [48640/60000 (81%)]\tLoss: 100.440582\n",
"Train Epoch: 35 [49920/60000 (83%)]\tLoss: 104.965401\n",
"Train Epoch: 35 [51200/60000 (85%)]\tLoss: 100.058731\n",
"Train Epoch: 35 [52480/60000 (87%)]\tLoss: 101.293655\n",
"Train Epoch: 35 [53760/60000 (90%)]\tLoss: 104.467606\n",
"Train Epoch: 35 [55040/60000 (92%)]\tLoss: 101.927147\n",
"Train Epoch: 35 [56320/60000 (94%)]\tLoss: 101.300415\n",
"Train Epoch: 35 [57600/60000 (96%)]\tLoss: 107.065689\n",
"Train Epoch: 35 [58880/60000 (98%)]\tLoss: 96.496338\n",
"====> Epoch: 35 Average loss: 102.6335\n",
"====> Test set loss: 94.0487\n",
"Train Epoch: 36 [0/60000 (0%)]\tLoss: 100.026352\n",
"Train Epoch: 36 [1280/60000 (2%)]\tLoss: 104.126366\n",
"Train Epoch: 36 [2560/60000 (4%)]\tLoss: 101.416321\n",
"Train Epoch: 36 [3840/60000 (6%)]\tLoss: 106.439560\n",
"Train Epoch: 36 [5120/60000 (9%)]\tLoss: 102.331436\n",
"Train Epoch: 36 [6400/60000 (11%)]\tLoss: 101.699074\n",
"Train Epoch: 36 [7680/60000 (13%)]\tLoss: 103.469940\n",
"Train Epoch: 36 [8960/60000 (15%)]\tLoss: 98.530823\n",
"Train Epoch: 36 [10240/60000 (17%)]\tLoss: 103.898384\n",
"Train Epoch: 36 [11520/60000 (19%)]\tLoss: 102.772995\n",
"Train Epoch: 36 [12800/60000 (21%)]\tLoss: 103.375801\n",
"Train Epoch: 36 [14080/60000 (23%)]\tLoss: 101.993889\n",
"Train Epoch: 36 [15360/60000 (26%)]\tLoss: 101.740463\n",
"Train Epoch: 36 [16640/60000 (28%)]\tLoss: 96.141525\n",
"Train Epoch: 36 [17920/60000 (30%)]\tLoss: 99.309662\n",
"Train Epoch: 36 [19200/60000 (32%)]\tLoss: 105.041451\n",
"Train Epoch: 36 [20480/60000 (34%)]\tLoss: 99.448502\n",
"Train Epoch: 36 [21760/60000 (36%)]\tLoss: 100.250008\n",
"Train Epoch: 36 [23040/60000 (38%)]\tLoss: 103.902901\n",
"Train Epoch: 36 [24320/60000 (41%)]\tLoss: 104.096306\n",
"Train Epoch: 36 [25600/60000 (43%)]\tLoss: 98.291092\n",
"Train Epoch: 36 [26880/60000 (45%)]\tLoss: 104.378670\n",
"Train Epoch: 36 [28160/60000 (47%)]\tLoss: 104.593140\n",
"Train Epoch: 36 [29440/60000 (49%)]\tLoss: 102.819336\n",
"Train Epoch: 36 [30720/60000 (51%)]\tLoss: 104.766525\n",
"Train Epoch: 36 [32000/60000 (53%)]\tLoss: 102.215965\n",
"Train Epoch: 36 [33280/60000 (55%)]\tLoss: 102.786980\n",
"Train Epoch: 36 [34560/60000 (58%)]\tLoss: 101.902603\n",
"Train Epoch: 36 [35840/60000 (60%)]\tLoss: 101.566338\n",
"Train Epoch: 36 [37120/60000 (62%)]\tLoss: 101.271339\n",
"Train Epoch: 36 [38400/60000 (64%)]\tLoss: 105.250000\n",
"Train Epoch: 36 [39680/60000 (66%)]\tLoss: 98.977379\n",
"Train Epoch: 36 [40960/60000 (68%)]\tLoss: 102.431946\n",
"Train Epoch: 36 [42240/60000 (70%)]\tLoss: 99.929779\n",
"Train Epoch: 36 [43520/60000 (72%)]\tLoss: 105.226723\n",
"Train Epoch: 36 [44800/60000 (75%)]\tLoss: 104.120392\n",
"Train Epoch: 36 [46080/60000 (77%)]\tLoss: 103.892212\n",
"Train Epoch: 36 [47360/60000 (79%)]\tLoss: 102.184952\n",
"Train Epoch: 36 [48640/60000 (81%)]\tLoss: 101.792374\n",
"Train Epoch: 36 [49920/60000 (83%)]\tLoss: 100.715378\n",
"Train Epoch: 36 [51200/60000 (85%)]\tLoss: 104.122208\n",
"Train Epoch: 36 [52480/60000 (87%)]\tLoss: 105.097717\n",
"Train Epoch: 36 [53760/60000 (90%)]\tLoss: 101.636719\n",
"Train Epoch: 36 [55040/60000 (92%)]\tLoss: 104.520889\n",
"Train Epoch: 36 [56320/60000 (94%)]\tLoss: 103.485077\n",
"Train Epoch: 36 [57600/60000 (96%)]\tLoss: 103.761398\n",
"Train Epoch: 36 [58880/60000 (98%)]\tLoss: 101.739990\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Epoch: 36 Average loss: 102.6051\n",
"====> Test set loss: 94.3473\n",
"Train Epoch: 37 [0/60000 (0%)]\tLoss: 107.881424\n",
"Train Epoch: 37 [1280/60000 (2%)]\tLoss: 103.203178\n",
"Train Epoch: 37 [2560/60000 (4%)]\tLoss: 104.087746\n",
"Train Epoch: 37 [3840/60000 (6%)]\tLoss: 104.900871\n",
"Train Epoch: 37 [5120/60000 (9%)]\tLoss: 100.913864\n",
"Train Epoch: 37 [6400/60000 (11%)]\tLoss: 102.403641\n",
"Train Epoch: 37 [7680/60000 (13%)]\tLoss: 104.296310\n",
"Train Epoch: 37 [8960/60000 (15%)]\tLoss: 104.912872\n",
"Train Epoch: 37 [10240/60000 (17%)]\tLoss: 101.516357\n",
"Train Epoch: 37 [11520/60000 (19%)]\tLoss: 104.222031\n",
"Train Epoch: 37 [12800/60000 (21%)]\tLoss: 104.389984\n",
"Train Epoch: 37 [14080/60000 (23%)]\tLoss: 105.523010\n",
"Train Epoch: 37 [15360/60000 (26%)]\tLoss: 102.282333\n",
"Train Epoch: 37 [16640/60000 (28%)]\tLoss: 100.467926\n",
"Train Epoch: 37 [17920/60000 (30%)]\tLoss: 105.262222\n",
"Train Epoch: 37 [19200/60000 (32%)]\tLoss: 101.353745\n",
"Train Epoch: 37 [20480/60000 (34%)]\tLoss: 102.687042\n",
"Train Epoch: 37 [21760/60000 (36%)]\tLoss: 102.683380\n",
"Train Epoch: 37 [23040/60000 (38%)]\tLoss: 105.596985\n",
"Train Epoch: 37 [24320/60000 (41%)]\tLoss: 103.433220\n",
"Train Epoch: 37 [25600/60000 (43%)]\tLoss: 99.142738\n",
"Train Epoch: 37 [26880/60000 (45%)]\tLoss: 105.555801\n",
"Train Epoch: 37 [28160/60000 (47%)]\tLoss: 95.267624\n",
"Train Epoch: 37 [29440/60000 (49%)]\tLoss: 101.860611\n",
"Train Epoch: 37 [30720/60000 (51%)]\tLoss: 100.192116\n",
"Train Epoch: 37 [32000/60000 (53%)]\tLoss: 102.015747\n",
"Train Epoch: 37 [33280/60000 (55%)]\tLoss: 101.290016\n",
"Train Epoch: 37 [34560/60000 (58%)]\tLoss: 100.107773\n",
"Train Epoch: 37 [35840/60000 (60%)]\tLoss: 100.149796\n",
"Train Epoch: 37 [37120/60000 (62%)]\tLoss: 105.142075\n",
"Train Epoch: 37 [38400/60000 (64%)]\tLoss: 102.322304\n",
"Train Epoch: 37 [39680/60000 (66%)]\tLoss: 98.239441\n",
"Train Epoch: 37 [40960/60000 (68%)]\tLoss: 103.892014\n",
"Train Epoch: 37 [42240/60000 (70%)]\tLoss: 98.446701\n",
"Train Epoch: 37 [43520/60000 (72%)]\tLoss: 104.674759\n",
"Train Epoch: 37 [44800/60000 (75%)]\tLoss: 98.833916\n",
"Train Epoch: 37 [46080/60000 (77%)]\tLoss: 99.695679\n",
"Train Epoch: 37 [47360/60000 (79%)]\tLoss: 102.372421\n",
"Train Epoch: 37 [48640/60000 (81%)]\tLoss: 100.860733\n",
"Train Epoch: 37 [49920/60000 (83%)]\tLoss: 102.164131\n",
"Train Epoch: 37 [51200/60000 (85%)]\tLoss: 101.219589\n",
"Train Epoch: 37 [52480/60000 (87%)]\tLoss: 105.231956\n",
"Train Epoch: 37 [53760/60000 (90%)]\tLoss: 100.065407\n",
"Train Epoch: 37 [55040/60000 (92%)]\tLoss: 107.171921\n",
"Train Epoch: 37 [56320/60000 (94%)]\tLoss: 102.479965\n",
"Train Epoch: 37 [57600/60000 (96%)]\tLoss: 104.155029\n",
"Train Epoch: 37 [58880/60000 (98%)]\tLoss: 100.673553\n",
"====> Epoch: 37 Average loss: 102.5047\n",
"====> Test set loss: 94.8338\n",
"Train Epoch: 38 [0/60000 (0%)]\tLoss: 100.718994\n",
"Train Epoch: 38 [1280/60000 (2%)]\tLoss: 101.416664\n",
"Train Epoch: 38 [2560/60000 (4%)]\tLoss: 103.030190\n",
"Train Epoch: 38 [3840/60000 (6%)]\tLoss: 99.496040\n",
"Train Epoch: 38 [5120/60000 (9%)]\tLoss: 107.950455\n",
"Train Epoch: 38 [6400/60000 (11%)]\tLoss: 101.042496\n",
"Train Epoch: 38 [7680/60000 (13%)]\tLoss: 98.631104\n",
"Train Epoch: 38 [8960/60000 (15%)]\tLoss: 101.933395\n",
"Train Epoch: 38 [10240/60000 (17%)]\tLoss: 101.278992\n",
"Train Epoch: 38 [11520/60000 (19%)]\tLoss: 102.191772\n",
"Train Epoch: 38 [12800/60000 (21%)]\tLoss: 101.121071\n",
"Train Epoch: 38 [14080/60000 (23%)]\tLoss: 100.367462\n",
"Train Epoch: 38 [15360/60000 (26%)]\tLoss: 107.020187\n",
"Train Epoch: 38 [16640/60000 (28%)]\tLoss: 102.798431\n",
"Train Epoch: 38 [17920/60000 (30%)]\tLoss: 103.785332\n",
"Train Epoch: 38 [19200/60000 (32%)]\tLoss: 101.251320\n",
"Train Epoch: 38 [20480/60000 (34%)]\tLoss: 103.234612\n",
"Train Epoch: 38 [21760/60000 (36%)]\tLoss: 102.207596\n",
"Train Epoch: 38 [23040/60000 (38%)]\tLoss: 101.347527\n",
"Train Epoch: 38 [24320/60000 (41%)]\tLoss: 101.862854\n",
"Train Epoch: 38 [25600/60000 (43%)]\tLoss: 104.409180\n",
"Train Epoch: 38 [26880/60000 (45%)]\tLoss: 102.449127\n",
"Train Epoch: 38 [28160/60000 (47%)]\tLoss: 103.055237\n",
"Train Epoch: 38 [29440/60000 (49%)]\tLoss: 101.259956\n",
"Train Epoch: 38 [30720/60000 (51%)]\tLoss: 100.540070\n",
"Train Epoch: 38 [32000/60000 (53%)]\tLoss: 100.675980\n",
"Train Epoch: 38 [33280/60000 (55%)]\tLoss: 101.421936\n",
"Train Epoch: 38 [34560/60000 (58%)]\tLoss: 103.739990\n",
"Train Epoch: 38 [35840/60000 (60%)]\tLoss: 98.198639\n",
"Train Epoch: 38 [37120/60000 (62%)]\tLoss: 103.324890\n",
"Train Epoch: 38 [38400/60000 (64%)]\tLoss: 99.426880\n",
"Train Epoch: 38 [39680/60000 (66%)]\tLoss: 101.480927\n",
"Train Epoch: 38 [40960/60000 (68%)]\tLoss: 102.184479\n",
"Train Epoch: 38 [42240/60000 (70%)]\tLoss: 103.429428\n",
"Train Epoch: 38 [43520/60000 (72%)]\tLoss: 99.497726\n",
"Train Epoch: 38 [44800/60000 (75%)]\tLoss: 99.656914\n",
"Train Epoch: 38 [46080/60000 (77%)]\tLoss: 100.874756\n",
"Train Epoch: 38 [47360/60000 (79%)]\tLoss: 104.237320\n",
"Train Epoch: 38 [48640/60000 (81%)]\tLoss: 99.159424\n",
"Train Epoch: 38 [49920/60000 (83%)]\tLoss: 103.530159\n",
"Train Epoch: 38 [51200/60000 (85%)]\tLoss: 100.453430\n",
"Train Epoch: 38 [52480/60000 (87%)]\tLoss: 101.813370\n",
"Train Epoch: 38 [53760/60000 (90%)]\tLoss: 102.582886\n",
"Train Epoch: 38 [55040/60000 (92%)]\tLoss: 103.994171\n",
"Train Epoch: 38 [56320/60000 (94%)]\tLoss: 101.276123\n",
"Train Epoch: 38 [57600/60000 (96%)]\tLoss: 105.431084\n",
"Train Epoch: 38 [58880/60000 (98%)]\tLoss: 101.539490\n",
"====> Epoch: 38 Average loss: 102.4588\n",
"====> Test set loss: 93.8461\n",
"Train Epoch: 39 [0/60000 (0%)]\tLoss: 103.087532\n",
"Train Epoch: 39 [1280/60000 (2%)]\tLoss: 102.336380\n",
"Train Epoch: 39 [2560/60000 (4%)]\tLoss: 101.130753\n",
"Train Epoch: 39 [3840/60000 (6%)]\tLoss: 101.442665\n",
"Train Epoch: 39 [5120/60000 (9%)]\tLoss: 103.051842\n",
"Train Epoch: 39 [6400/60000 (11%)]\tLoss: 101.899567\n",
"Train Epoch: 39 [7680/60000 (13%)]\tLoss: 101.512360\n",
"Train Epoch: 39 [8960/60000 (15%)]\tLoss: 101.062103\n",
"Train Epoch: 39 [10240/60000 (17%)]\tLoss: 102.233719\n",
"Train Epoch: 39 [11520/60000 (19%)]\tLoss: 103.907532\n",
"Train Epoch: 39 [12800/60000 (21%)]\tLoss: 104.629295\n",
"Train Epoch: 39 [14080/60000 (23%)]\tLoss: 99.501328\n",
"Train Epoch: 39 [15360/60000 (26%)]\tLoss: 103.160461\n",
"Train Epoch: 39 [16640/60000 (28%)]\tLoss: 99.242683\n",
"Train Epoch: 39 [17920/60000 (30%)]\tLoss: 101.158447\n",
"Train Epoch: 39 [19200/60000 (32%)]\tLoss: 103.350365\n",
"Train Epoch: 39 [20480/60000 (34%)]\tLoss: 102.370300\n",
"Train Epoch: 39 [21760/60000 (36%)]\tLoss: 99.193794\n",
"Train Epoch: 39 [23040/60000 (38%)]\tLoss: 97.885620\n",
"Train Epoch: 39 [24320/60000 (41%)]\tLoss: 102.769211\n",
"Train Epoch: 39 [25600/60000 (43%)]\tLoss: 103.087555\n",
"Train Epoch: 39 [26880/60000 (45%)]\tLoss: 103.547707\n",
"Train Epoch: 39 [28160/60000 (47%)]\tLoss: 103.123276\n",
"Train Epoch: 39 [29440/60000 (49%)]\tLoss: 100.894760\n",
"Train Epoch: 39 [30720/60000 (51%)]\tLoss: 100.285614\n",
"Train Epoch: 39 [32000/60000 (53%)]\tLoss: 105.438339\n",
"Train Epoch: 39 [33280/60000 (55%)]\tLoss: 101.260040\n",
"Train Epoch: 39 [34560/60000 (58%)]\tLoss: 104.474045\n",
"Train Epoch: 39 [35840/60000 (60%)]\tLoss: 101.423035\n",
"Train Epoch: 39 [37120/60000 (62%)]\tLoss: 101.741379\n",
"Train Epoch: 39 [38400/60000 (64%)]\tLoss: 100.396454\n",
"Train Epoch: 39 [39680/60000 (66%)]\tLoss: 101.512177\n",
"Train Epoch: 39 [40960/60000 (68%)]\tLoss: 99.650688\n",
"Train Epoch: 39 [42240/60000 (70%)]\tLoss: 102.949799\n",
"Train Epoch: 39 [43520/60000 (72%)]\tLoss: 101.514114\n",
"Train Epoch: 39 [44800/60000 (75%)]\tLoss: 106.062660\n",
"Train Epoch: 39 [46080/60000 (77%)]\tLoss: 102.414520\n",
"Train Epoch: 39 [47360/60000 (79%)]\tLoss: 103.972099\n",
"Train Epoch: 39 [48640/60000 (81%)]\tLoss: 103.259857\n",
"Train Epoch: 39 [49920/60000 (83%)]\tLoss: 100.189713\n",
"Train Epoch: 39 [51200/60000 (85%)]\tLoss: 97.914238\n",
"Train Epoch: 39 [52480/60000 (87%)]\tLoss: 102.286987\n",
"Train Epoch: 39 [53760/60000 (90%)]\tLoss: 102.465042\n",
"Train Epoch: 39 [55040/60000 (92%)]\tLoss: 106.264206\n",
"Train Epoch: 39 [56320/60000 (94%)]\tLoss: 102.952728\n",
"Train Epoch: 39 [57600/60000 (96%)]\tLoss: 102.862015\n",
"Train Epoch: 39 [58880/60000 (98%)]\tLoss: 101.241516\n",
"====> Epoch: 39 Average loss: 102.3880\n",
"====> Test set loss: 93.8869\n",
"Train Epoch: 40 [0/60000 (0%)]\tLoss: 102.845428\n",
"Train Epoch: 40 [1280/60000 (2%)]\tLoss: 104.262009\n",
"Train Epoch: 40 [2560/60000 (4%)]\tLoss: 105.424286\n",
"Train Epoch: 40 [3840/60000 (6%)]\tLoss: 101.422714\n",
"Train Epoch: 40 [5120/60000 (9%)]\tLoss: 106.474991\n",
"Train Epoch: 40 [6400/60000 (11%)]\tLoss: 99.922684\n",
"Train Epoch: 40 [7680/60000 (13%)]\tLoss: 104.754868\n",
"Train Epoch: 40 [8960/60000 (15%)]\tLoss: 102.679436\n",
"Train Epoch: 40 [10240/60000 (17%)]\tLoss: 102.012657\n",
"Train Epoch: 40 [11520/60000 (19%)]\tLoss: 105.017151\n",
"Train Epoch: 40 [12800/60000 (21%)]\tLoss: 103.275131\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 40 [14080/60000 (23%)]\tLoss: 100.229370\n",
"Train Epoch: 40 [15360/60000 (26%)]\tLoss: 101.676674\n",
"Train Epoch: 40 [16640/60000 (28%)]\tLoss: 104.320374\n",
"Train Epoch: 40 [17920/60000 (30%)]\tLoss: 101.208580\n",
"Train Epoch: 40 [19200/60000 (32%)]\tLoss: 102.591408\n",
"Train Epoch: 40 [20480/60000 (34%)]\tLoss: 102.887817\n",
"Train Epoch: 40 [21760/60000 (36%)]\tLoss: 100.399033\n",
"Train Epoch: 40 [23040/60000 (38%)]\tLoss: 101.001938\n",
"Train Epoch: 40 [24320/60000 (41%)]\tLoss: 99.855530\n",
"Train Epoch: 40 [25600/60000 (43%)]\tLoss: 102.782867\n",
"Train Epoch: 40 [26880/60000 (45%)]\tLoss: 102.054581\n",
"Train Epoch: 40 [28160/60000 (47%)]\tLoss: 103.393417\n",
"Train Epoch: 40 [29440/60000 (49%)]\tLoss: 107.188324\n",
"Train Epoch: 40 [30720/60000 (51%)]\tLoss: 104.745056\n",
"Train Epoch: 40 [32000/60000 (53%)]\tLoss: 101.599548\n",
"Train Epoch: 40 [33280/60000 (55%)]\tLoss: 102.743515\n",
"Train Epoch: 40 [34560/60000 (58%)]\tLoss: 103.452271\n",
"Train Epoch: 40 [35840/60000 (60%)]\tLoss: 102.019394\n",
"Train Epoch: 40 [37120/60000 (62%)]\tLoss: 104.228210\n",
"Train Epoch: 40 [38400/60000 (64%)]\tLoss: 106.780403\n",
"Train Epoch: 40 [39680/60000 (66%)]\tLoss: 100.247574\n",
"Train Epoch: 40 [40960/60000 (68%)]\tLoss: 98.918167\n",
"Train Epoch: 40 [42240/60000 (70%)]\tLoss: 101.017990\n",
"Train Epoch: 40 [43520/60000 (72%)]\tLoss: 104.914696\n",
"Train Epoch: 40 [44800/60000 (75%)]\tLoss: 102.679398\n",
"Train Epoch: 40 [46080/60000 (77%)]\tLoss: 101.901154\n",
"Train Epoch: 40 [47360/60000 (79%)]\tLoss: 106.547714\n",
"Train Epoch: 40 [48640/60000 (81%)]\tLoss: 102.649071\n",
"Train Epoch: 40 [49920/60000 (83%)]\tLoss: 101.033691\n",
"Train Epoch: 40 [51200/60000 (85%)]\tLoss: 99.945557\n",
"Train Epoch: 40 [52480/60000 (87%)]\tLoss: 107.073822\n",
"Train Epoch: 40 [53760/60000 (90%)]\tLoss: 100.985016\n",
"Train Epoch: 40 [55040/60000 (92%)]\tLoss: 103.118896\n",
"Train Epoch: 40 [56320/60000 (94%)]\tLoss: 102.398438\n",
"Train Epoch: 40 [57600/60000 (96%)]\tLoss: 98.331070\n",
"Train Epoch: 40 [58880/60000 (98%)]\tLoss: 102.425262\n",
"====> Epoch: 40 Average loss: 102.3409\n",
"====> Test set loss: 93.9820\n",
"Train Epoch: 41 [0/60000 (0%)]\tLoss: 105.808372\n",
"Train Epoch: 41 [1280/60000 (2%)]\tLoss: 98.598663\n",
"Train Epoch: 41 [2560/60000 (4%)]\tLoss: 100.204689\n",
"Train Epoch: 41 [3840/60000 (6%)]\tLoss: 100.347168\n",
"Train Epoch: 41 [5120/60000 (9%)]\tLoss: 99.692856\n",
"Train Epoch: 41 [6400/60000 (11%)]\tLoss: 104.111649\n",
"Train Epoch: 41 [7680/60000 (13%)]\tLoss: 105.749619\n",
"Train Epoch: 41 [8960/60000 (15%)]\tLoss: 103.081261\n",
"Train Epoch: 41 [10240/60000 (17%)]\tLoss: 103.498756\n",
"Train Epoch: 41 [11520/60000 (19%)]\tLoss: 104.485641\n",
"Train Epoch: 41 [12800/60000 (21%)]\tLoss: 103.208374\n",
"Train Epoch: 41 [14080/60000 (23%)]\tLoss: 104.180115\n",
"Train Epoch: 41 [15360/60000 (26%)]\tLoss: 103.434425\n",
"Train Epoch: 41 [16640/60000 (28%)]\tLoss: 102.378746\n",
"Train Epoch: 41 [17920/60000 (30%)]\tLoss: 106.346329\n",
"Train Epoch: 41 [19200/60000 (32%)]\tLoss: 101.941376\n",
"Train Epoch: 41 [20480/60000 (34%)]\tLoss: 103.370773\n",
"Train Epoch: 41 [21760/60000 (36%)]\tLoss: 99.795647\n",
"Train Epoch: 41 [23040/60000 (38%)]\tLoss: 103.996040\n",
"Train Epoch: 41 [24320/60000 (41%)]\tLoss: 103.719543\n",
"Train Epoch: 41 [25600/60000 (43%)]\tLoss: 103.167114\n",
"Train Epoch: 41 [26880/60000 (45%)]\tLoss: 101.231834\n",
"Train Epoch: 41 [28160/60000 (47%)]\tLoss: 103.551941\n",
"Train Epoch: 41 [29440/60000 (49%)]\tLoss: 102.028519\n",
"Train Epoch: 41 [30720/60000 (51%)]\tLoss: 104.602264\n",
"Train Epoch: 41 [32000/60000 (53%)]\tLoss: 103.307236\n",
"Train Epoch: 41 [33280/60000 (55%)]\tLoss: 101.876556\n",
"Train Epoch: 41 [34560/60000 (58%)]\tLoss: 104.710846\n",
"Train Epoch: 41 [35840/60000 (60%)]\tLoss: 102.808365\n",
"Train Epoch: 41 [37120/60000 (62%)]\tLoss: 100.051453\n",
"Train Epoch: 41 [38400/60000 (64%)]\tLoss: 101.734055\n",
"Train Epoch: 41 [39680/60000 (66%)]\tLoss: 97.949951\n",
"Train Epoch: 41 [40960/60000 (68%)]\tLoss: 98.944099\n",
"Train Epoch: 41 [42240/60000 (70%)]\tLoss: 101.263229\n",
"Train Epoch: 41 [43520/60000 (72%)]\tLoss: 104.555191\n",
"Train Epoch: 41 [44800/60000 (75%)]\tLoss: 102.646370\n",
"Train Epoch: 41 [46080/60000 (77%)]\tLoss: 104.402863\n",
"Train Epoch: 41 [47360/60000 (79%)]\tLoss: 103.063812\n",
"Train Epoch: 41 [48640/60000 (81%)]\tLoss: 104.989670\n",
"Train Epoch: 41 [49920/60000 (83%)]\tLoss: 104.476196\n",
"Train Epoch: 41 [51200/60000 (85%)]\tLoss: 101.863152\n",
"Train Epoch: 41 [52480/60000 (87%)]\tLoss: 102.554611\n",
"Train Epoch: 41 [53760/60000 (90%)]\tLoss: 102.012115\n",
"Train Epoch: 41 [55040/60000 (92%)]\tLoss: 105.174820\n",
"Train Epoch: 41 [56320/60000 (94%)]\tLoss: 107.698746\n",
"Train Epoch: 41 [57600/60000 (96%)]\tLoss: 101.792999\n",
"Train Epoch: 41 [58880/60000 (98%)]\tLoss: 99.400703\n",
"====> Epoch: 41 Average loss: 102.3030\n",
"====> Test set loss: 94.4881\n",
"Train Epoch: 42 [0/60000 (0%)]\tLoss: 104.540672\n",
"Train Epoch: 42 [1280/60000 (2%)]\tLoss: 105.208572\n",
"Train Epoch: 42 [2560/60000 (4%)]\tLoss: 102.796585\n",
"Train Epoch: 42 [3840/60000 (6%)]\tLoss: 103.861244\n",
"Train Epoch: 42 [5120/60000 (9%)]\tLoss: 103.229668\n",
"Train Epoch: 42 [6400/60000 (11%)]\tLoss: 103.696388\n",
"Train Epoch: 42 [7680/60000 (13%)]\tLoss: 103.956100\n",
"Train Epoch: 42 [8960/60000 (15%)]\tLoss: 103.012772\n",
"Train Epoch: 42 [10240/60000 (17%)]\tLoss: 99.239182\n",
"Train Epoch: 42 [11520/60000 (19%)]\tLoss: 100.148315\n",
"Train Epoch: 42 [12800/60000 (21%)]\tLoss: 101.932022\n",
"Train Epoch: 42 [14080/60000 (23%)]\tLoss: 100.022385\n",
"Train Epoch: 42 [15360/60000 (26%)]\tLoss: 101.102585\n",
"Train Epoch: 42 [16640/60000 (28%)]\tLoss: 102.357742\n",
"Train Epoch: 42 [17920/60000 (30%)]\tLoss: 102.841660\n",
"Train Epoch: 42 [19200/60000 (32%)]\tLoss: 100.223251\n",
"Train Epoch: 42 [20480/60000 (34%)]\tLoss: 96.966164\n",
"Train Epoch: 42 [21760/60000 (36%)]\tLoss: 99.376740\n",
"Train Epoch: 42 [23040/60000 (38%)]\tLoss: 105.037201\n",
"Train Epoch: 42 [24320/60000 (41%)]\tLoss: 98.635094\n",
"Train Epoch: 42 [25600/60000 (43%)]\tLoss: 102.242592\n",
"Train Epoch: 42 [26880/60000 (45%)]\tLoss: 103.470619\n",
"Train Epoch: 42 [28160/60000 (47%)]\tLoss: 101.858292\n",
"Train Epoch: 42 [29440/60000 (49%)]\tLoss: 102.763977\n",
"Train Epoch: 42 [30720/60000 (51%)]\tLoss: 99.315498\n",
"Train Epoch: 42 [32000/60000 (53%)]\tLoss: 102.200768\n",
"Train Epoch: 42 [33280/60000 (55%)]\tLoss: 105.996361\n",
"Train Epoch: 42 [34560/60000 (58%)]\tLoss: 101.352005\n",
"Train Epoch: 42 [35840/60000 (60%)]\tLoss: 102.473022\n",
"Train Epoch: 42 [37120/60000 (62%)]\tLoss: 104.136444\n",
"Train Epoch: 42 [38400/60000 (64%)]\tLoss: 101.632011\n",
"Train Epoch: 42 [39680/60000 (66%)]\tLoss: 100.696640\n",
"Train Epoch: 42 [40960/60000 (68%)]\tLoss: 104.937088\n",
"Train Epoch: 42 [42240/60000 (70%)]\tLoss: 101.131866\n",
"Train Epoch: 42 [43520/60000 (72%)]\tLoss: 100.729935\n",
"Train Epoch: 42 [44800/60000 (75%)]\tLoss: 100.179230\n",
"Train Epoch: 42 [46080/60000 (77%)]\tLoss: 107.010223\n",
"Train Epoch: 42 [47360/60000 (79%)]\tLoss: 100.039139\n",
"Train Epoch: 42 [48640/60000 (81%)]\tLoss: 105.842316\n",
"Train Epoch: 42 [49920/60000 (83%)]\tLoss: 101.955261\n",
"Train Epoch: 42 [51200/60000 (85%)]\tLoss: 98.472015\n",
"Train Epoch: 42 [52480/60000 (87%)]\tLoss: 102.859100\n",
"Train Epoch: 42 [53760/60000 (90%)]\tLoss: 98.656662\n",
"Train Epoch: 42 [55040/60000 (92%)]\tLoss: 99.468803\n",
"Train Epoch: 42 [56320/60000 (94%)]\tLoss: 99.451767\n",
"Train Epoch: 42 [57600/60000 (96%)]\tLoss: 98.797668\n",
"Train Epoch: 42 [58880/60000 (98%)]\tLoss: 100.184631\n",
"====> Epoch: 42 Average loss: 102.2442\n",
"====> Test set loss: 94.0215\n",
"Train Epoch: 43 [0/60000 (0%)]\tLoss: 103.237747\n",
"Train Epoch: 43 [1280/60000 (2%)]\tLoss: 104.015915\n",
"Train Epoch: 43 [2560/60000 (4%)]\tLoss: 101.022102\n",
"Train Epoch: 43 [3840/60000 (6%)]\tLoss: 101.402679\n",
"Train Epoch: 43 [5120/60000 (9%)]\tLoss: 103.022079\n",
"Train Epoch: 43 [6400/60000 (11%)]\tLoss: 104.648727\n",
"Train Epoch: 43 [7680/60000 (13%)]\tLoss: 103.437180\n",
"Train Epoch: 43 [8960/60000 (15%)]\tLoss: 100.995811\n",
"Train Epoch: 43 [10240/60000 (17%)]\tLoss: 106.474258\n",
"Train Epoch: 43 [11520/60000 (19%)]\tLoss: 102.025703\n",
"Train Epoch: 43 [12800/60000 (21%)]\tLoss: 101.832268\n",
"Train Epoch: 43 [14080/60000 (23%)]\tLoss: 99.292366\n",
"Train Epoch: 43 [15360/60000 (26%)]\tLoss: 101.762978\n",
"Train Epoch: 43 [16640/60000 (28%)]\tLoss: 105.729721\n",
"Train Epoch: 43 [17920/60000 (30%)]\tLoss: 102.832779\n",
"Train Epoch: 43 [19200/60000 (32%)]\tLoss: 103.416168\n",
"Train Epoch: 43 [20480/60000 (34%)]\tLoss: 97.183121\n",
"Train Epoch: 43 [21760/60000 (36%)]\tLoss: 99.855423\n",
"Train Epoch: 43 [23040/60000 (38%)]\tLoss: 102.400833\n",
"Train Epoch: 43 [24320/60000 (41%)]\tLoss: 100.014099\n",
"Train Epoch: 43 [25600/60000 (43%)]\tLoss: 99.602844\n",
"Train Epoch: 43 [26880/60000 (45%)]\tLoss: 100.786560\n",
"Train Epoch: 43 [28160/60000 (47%)]\tLoss: 107.537560\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 43 [29440/60000 (49%)]\tLoss: 102.792542\n",
"Train Epoch: 43 [30720/60000 (51%)]\tLoss: 103.149216\n",
"Train Epoch: 43 [32000/60000 (53%)]\tLoss: 102.715134\n",
"Train Epoch: 43 [33280/60000 (55%)]\tLoss: 102.395584\n",
"Train Epoch: 43 [34560/60000 (58%)]\tLoss: 101.695496\n",
"Train Epoch: 43 [35840/60000 (60%)]\tLoss: 99.323074\n",
"Train Epoch: 43 [37120/60000 (62%)]\tLoss: 101.808914\n",
"Train Epoch: 43 [38400/60000 (64%)]\tLoss: 100.006058\n",
"Train Epoch: 43 [39680/60000 (66%)]\tLoss: 102.661591\n",
"Train Epoch: 43 [40960/60000 (68%)]\tLoss: 100.147049\n",
"Train Epoch: 43 [42240/60000 (70%)]\tLoss: 101.292809\n",
"Train Epoch: 43 [43520/60000 (72%)]\tLoss: 103.640839\n",
"Train Epoch: 43 [44800/60000 (75%)]\tLoss: 103.981369\n",
"Train Epoch: 43 [46080/60000 (77%)]\tLoss: 95.540070\n",
"Train Epoch: 43 [47360/60000 (79%)]\tLoss: 104.011917\n",
"Train Epoch: 43 [48640/60000 (81%)]\tLoss: 104.009415\n",
"Train Epoch: 43 [49920/60000 (83%)]\tLoss: 102.847137\n",
"Train Epoch: 43 [51200/60000 (85%)]\tLoss: 98.310791\n",
"Train Epoch: 43 [52480/60000 (87%)]\tLoss: 99.727043\n",
"Train Epoch: 43 [53760/60000 (90%)]\tLoss: 101.546860\n",
"Train Epoch: 43 [55040/60000 (92%)]\tLoss: 103.623322\n",
"Train Epoch: 43 [56320/60000 (94%)]\tLoss: 102.047707\n",
"Train Epoch: 43 [57600/60000 (96%)]\tLoss: 105.598671\n",
"Train Epoch: 43 [58880/60000 (98%)]\tLoss: 106.174362\n",
"====> Epoch: 43 Average loss: 102.2191\n",
"====> Test set loss: 94.1389\n",
"Train Epoch: 44 [0/60000 (0%)]\tLoss: 106.811646\n",
"Train Epoch: 44 [1280/60000 (2%)]\tLoss: 102.015945\n",
"Train Epoch: 44 [2560/60000 (4%)]\tLoss: 101.681442\n",
"Train Epoch: 44 [3840/60000 (6%)]\tLoss: 102.773621\n",
"Train Epoch: 44 [5120/60000 (9%)]\tLoss: 107.044800\n",
"Train Epoch: 44 [6400/60000 (11%)]\tLoss: 99.839119\n",
"Train Epoch: 44 [7680/60000 (13%)]\tLoss: 102.359818\n",
"Train Epoch: 44 [8960/60000 (15%)]\tLoss: 101.934761\n",
"Train Epoch: 44 [10240/60000 (17%)]\tLoss: 103.505615\n",
"Train Epoch: 44 [11520/60000 (19%)]\tLoss: 99.000183\n",
"Train Epoch: 44 [12800/60000 (21%)]\tLoss: 99.552811\n",
"Train Epoch: 44 [14080/60000 (23%)]\tLoss: 102.175140\n",
"Train Epoch: 44 [15360/60000 (26%)]\tLoss: 103.466019\n",
"Train Epoch: 44 [16640/60000 (28%)]\tLoss: 102.262047\n",
"Train Epoch: 44 [17920/60000 (30%)]\tLoss: 100.399094\n",
"Train Epoch: 44 [19200/60000 (32%)]\tLoss: 99.744080\n",
"Train Epoch: 44 [20480/60000 (34%)]\tLoss: 98.915878\n",
"Train Epoch: 44 [21760/60000 (36%)]\tLoss: 100.837387\n",
"Train Epoch: 44 [23040/60000 (38%)]\tLoss: 105.784447\n",
"Train Epoch: 44 [24320/60000 (41%)]\tLoss: 100.817276\n",
"Train Epoch: 44 [25600/60000 (43%)]\tLoss: 100.555557\n",
"Train Epoch: 44 [26880/60000 (45%)]\tLoss: 101.454895\n",
"Train Epoch: 44 [28160/60000 (47%)]\tLoss: 101.743958\n",
"Train Epoch: 44 [29440/60000 (49%)]\tLoss: 97.757629\n",
"Train Epoch: 44 [30720/60000 (51%)]\tLoss: 102.122681\n",
"Train Epoch: 44 [32000/60000 (53%)]\tLoss: 101.693680\n",
"Train Epoch: 44 [33280/60000 (55%)]\tLoss: 106.651825\n",
"Train Epoch: 44 [34560/60000 (58%)]\tLoss: 100.324173\n",
"Train Epoch: 44 [35840/60000 (60%)]\tLoss: 100.727837\n",
"Train Epoch: 44 [37120/60000 (62%)]\tLoss: 102.229767\n",
"Train Epoch: 44 [38400/60000 (64%)]\tLoss: 102.427750\n",
"Train Epoch: 44 [39680/60000 (66%)]\tLoss: 103.212494\n",
"Train Epoch: 44 [40960/60000 (68%)]\tLoss: 102.076859\n",
"Train Epoch: 44 [42240/60000 (70%)]\tLoss: 103.548874\n",
"Train Epoch: 44 [43520/60000 (72%)]\tLoss: 103.590240\n",
"Train Epoch: 44 [44800/60000 (75%)]\tLoss: 101.525101\n",
"Train Epoch: 44 [46080/60000 (77%)]\tLoss: 101.258270\n",
"Train Epoch: 44 [47360/60000 (79%)]\tLoss: 103.049042\n",
"Train Epoch: 44 [48640/60000 (81%)]\tLoss: 99.445923\n",
"Train Epoch: 44 [49920/60000 (83%)]\tLoss: 103.082367\n",
"Train Epoch: 44 [51200/60000 (85%)]\tLoss: 103.629204\n",
"Train Epoch: 44 [52480/60000 (87%)]\tLoss: 103.004158\n",
"Train Epoch: 44 [53760/60000 (90%)]\tLoss: 103.785645\n",
"Train Epoch: 44 [55040/60000 (92%)]\tLoss: 104.340790\n",
"Train Epoch: 44 [56320/60000 (94%)]\tLoss: 101.785690\n",
"Train Epoch: 44 [57600/60000 (96%)]\tLoss: 99.999825\n",
"Train Epoch: 44 [58880/60000 (98%)]\tLoss: 103.822105\n",
"====> Epoch: 44 Average loss: 102.1517\n",
"====> Test set loss: 93.6261\n",
"Train Epoch: 45 [0/60000 (0%)]\tLoss: 104.044708\n",
"Train Epoch: 45 [1280/60000 (2%)]\tLoss: 100.397064\n",
"Train Epoch: 45 [2560/60000 (4%)]\tLoss: 102.010536\n",
"Train Epoch: 45 [3840/60000 (6%)]\tLoss: 100.075226\n",
"Train Epoch: 45 [5120/60000 (9%)]\tLoss: 102.161499\n",
"Train Epoch: 45 [6400/60000 (11%)]\tLoss: 104.946075\n",
"Train Epoch: 45 [7680/60000 (13%)]\tLoss: 95.905243\n",
"Train Epoch: 45 [8960/60000 (15%)]\tLoss: 102.280106\n",
"Train Epoch: 45 [10240/60000 (17%)]\tLoss: 105.122528\n",
"Train Epoch: 45 [11520/60000 (19%)]\tLoss: 101.734238\n",
"Train Epoch: 45 [12800/60000 (21%)]\tLoss: 101.390213\n",
"Train Epoch: 45 [14080/60000 (23%)]\tLoss: 98.572067\n",
"Train Epoch: 45 [15360/60000 (26%)]\tLoss: 105.646027\n",
"Train Epoch: 45 [16640/60000 (28%)]\tLoss: 103.674019\n",
"Train Epoch: 45 [17920/60000 (30%)]\tLoss: 102.576492\n",
"Train Epoch: 45 [19200/60000 (32%)]\tLoss: 102.384850\n",
"Train Epoch: 45 [20480/60000 (34%)]\tLoss: 102.556145\n",
"Train Epoch: 45 [21760/60000 (36%)]\tLoss: 101.485451\n",
"Train Epoch: 45 [23040/60000 (38%)]\tLoss: 99.743057\n",
"Train Epoch: 45 [24320/60000 (41%)]\tLoss: 99.453888\n",
"Train Epoch: 45 [25600/60000 (43%)]\tLoss: 102.251526\n",
"Train Epoch: 45 [26880/60000 (45%)]\tLoss: 102.480949\n",
"Train Epoch: 45 [28160/60000 (47%)]\tLoss: 104.783768\n",
"Train Epoch: 45 [29440/60000 (49%)]\tLoss: 99.562210\n",
"Train Epoch: 45 [30720/60000 (51%)]\tLoss: 104.376289\n",
"Train Epoch: 45 [32000/60000 (53%)]\tLoss: 98.891617\n",
"Train Epoch: 45 [33280/60000 (55%)]\tLoss: 101.186905\n",
"Train Epoch: 45 [34560/60000 (58%)]\tLoss: 103.083824\n",
"Train Epoch: 45 [35840/60000 (60%)]\tLoss: 101.647942\n",
"Train Epoch: 45 [37120/60000 (62%)]\tLoss: 105.943901\n",
"Train Epoch: 45 [38400/60000 (64%)]\tLoss: 99.262222\n",
"Train Epoch: 45 [39680/60000 (66%)]\tLoss: 101.240921\n",
"Train Epoch: 45 [40960/60000 (68%)]\tLoss: 103.187088\n",
"Train Epoch: 45 [42240/60000 (70%)]\tLoss: 103.969086\n",
"Train Epoch: 45 [43520/60000 (72%)]\tLoss: 101.086380\n",
"Train Epoch: 45 [44800/60000 (75%)]\tLoss: 100.849121\n",
"Train Epoch: 45 [46080/60000 (77%)]\tLoss: 101.507607\n",
"Train Epoch: 45 [47360/60000 (79%)]\tLoss: 103.313568\n",
"Train Epoch: 45 [48640/60000 (81%)]\tLoss: 99.624329\n",
"Train Epoch: 45 [49920/60000 (83%)]\tLoss: 102.810516\n",
"Train Epoch: 45 [51200/60000 (85%)]\tLoss: 104.154800\n",
"Train Epoch: 45 [52480/60000 (87%)]\tLoss: 102.767807\n",
"Train Epoch: 45 [53760/60000 (90%)]\tLoss: 102.063004\n",
"Train Epoch: 45 [55040/60000 (92%)]\tLoss: 98.754593\n",
"Train Epoch: 45 [56320/60000 (94%)]\tLoss: 103.452438\n",
"Train Epoch: 45 [57600/60000 (96%)]\tLoss: 101.916687\n",
"Train Epoch: 45 [58880/60000 (98%)]\tLoss: 103.128838\n",
"====> Epoch: 45 Average loss: 102.0635\n",
"====> Test set loss: 94.2735\n",
"Train Epoch: 46 [0/60000 (0%)]\tLoss: 106.192810\n",
"Train Epoch: 46 [1280/60000 (2%)]\tLoss: 102.919777\n",
"Train Epoch: 46 [2560/60000 (4%)]\tLoss: 99.349411\n",
"Train Epoch: 46 [3840/60000 (6%)]\tLoss: 102.652382\n",
"Train Epoch: 46 [5120/60000 (9%)]\tLoss: 104.216080\n",
"Train Epoch: 46 [6400/60000 (11%)]\tLoss: 103.249603\n",
"Train Epoch: 46 [7680/60000 (13%)]\tLoss: 100.671181\n",
"Train Epoch: 46 [8960/60000 (15%)]\tLoss: 99.250122\n",
"Train Epoch: 46 [10240/60000 (17%)]\tLoss: 105.519394\n",
"Train Epoch: 46 [11520/60000 (19%)]\tLoss: 101.030075\n",
"Train Epoch: 46 [12800/60000 (21%)]\tLoss: 99.555496\n",
"Train Epoch: 46 [14080/60000 (23%)]\tLoss: 96.501854\n",
"Train Epoch: 46 [15360/60000 (26%)]\tLoss: 100.848907\n",
"Train Epoch: 46 [16640/60000 (28%)]\tLoss: 101.012482\n",
"Train Epoch: 46 [17920/60000 (30%)]\tLoss: 103.827042\n",
"Train Epoch: 46 [19200/60000 (32%)]\tLoss: 99.225197\n",
"Train Epoch: 46 [20480/60000 (34%)]\tLoss: 106.734512\n",
"Train Epoch: 46 [21760/60000 (36%)]\tLoss: 103.382095\n",
"Train Epoch: 46 [23040/60000 (38%)]\tLoss: 103.871384\n",
"Train Epoch: 46 [24320/60000 (41%)]\tLoss: 100.812790\n",
"Train Epoch: 46 [25600/60000 (43%)]\tLoss: 104.783890\n",
"Train Epoch: 46 [26880/60000 (45%)]\tLoss: 103.154892\n",
"Train Epoch: 46 [28160/60000 (47%)]\tLoss: 104.222771\n",
"Train Epoch: 46 [29440/60000 (49%)]\tLoss: 105.434143\n",
"Train Epoch: 46 [30720/60000 (51%)]\tLoss: 101.095474\n",
"Train Epoch: 46 [32000/60000 (53%)]\tLoss: 101.105515\n",
"Train Epoch: 46 [33280/60000 (55%)]\tLoss: 98.445465\n",
"Train Epoch: 46 [34560/60000 (58%)]\tLoss: 101.283096\n",
"Train Epoch: 46 [35840/60000 (60%)]\tLoss: 100.959579\n",
"Train Epoch: 46 [37120/60000 (62%)]\tLoss: 101.265877\n",
"Train Epoch: 46 [38400/60000 (64%)]\tLoss: 101.990463\n",
"Train Epoch: 46 [39680/60000 (66%)]\tLoss: 103.381851\n",
"Train Epoch: 46 [40960/60000 (68%)]\tLoss: 100.580475\n",
"Train Epoch: 46 [42240/60000 (70%)]\tLoss: 101.610001\n",
"Train Epoch: 46 [43520/60000 (72%)]\tLoss: 97.801758\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 46 [44800/60000 (75%)]\tLoss: 100.129356\n",
"Train Epoch: 46 [46080/60000 (77%)]\tLoss: 101.242477\n",
"Train Epoch: 46 [47360/60000 (79%)]\tLoss: 101.433044\n",
"Train Epoch: 46 [48640/60000 (81%)]\tLoss: 98.513908\n",
"Train Epoch: 46 [49920/60000 (83%)]\tLoss: 105.982391\n",
"Train Epoch: 46 [51200/60000 (85%)]\tLoss: 97.687553\n",
"Train Epoch: 46 [52480/60000 (87%)]\tLoss: 98.557632\n",
"Train Epoch: 46 [53760/60000 (90%)]\tLoss: 103.013382\n",
"Train Epoch: 46 [55040/60000 (92%)]\tLoss: 101.764900\n",
"Train Epoch: 46 [56320/60000 (94%)]\tLoss: 102.454727\n",
"Train Epoch: 46 [57600/60000 (96%)]\tLoss: 101.685249\n",
"Train Epoch: 46 [58880/60000 (98%)]\tLoss: 105.582733\n",
"====> Epoch: 46 Average loss: 102.0158\n",
"====> Test set loss: 93.9928\n",
"Train Epoch: 47 [0/60000 (0%)]\tLoss: 100.431114\n",
"Train Epoch: 47 [1280/60000 (2%)]\tLoss: 100.452332\n",
"Train Epoch: 47 [2560/60000 (4%)]\tLoss: 101.211197\n",
"Train Epoch: 47 [3840/60000 (6%)]\tLoss: 103.409012\n",
"Train Epoch: 47 [5120/60000 (9%)]\tLoss: 99.795158\n",
"Train Epoch: 47 [6400/60000 (11%)]\tLoss: 101.592674\n",
"Train Epoch: 47 [7680/60000 (13%)]\tLoss: 100.524643\n",
"Train Epoch: 47 [8960/60000 (15%)]\tLoss: 103.352745\n",
"Train Epoch: 47 [10240/60000 (17%)]\tLoss: 102.413025\n",
"Train Epoch: 47 [11520/60000 (19%)]\tLoss: 101.272888\n",
"Train Epoch: 47 [12800/60000 (21%)]\tLoss: 101.219437\n",
"Train Epoch: 47 [14080/60000 (23%)]\tLoss: 103.651489\n",
"Train Epoch: 47 [15360/60000 (26%)]\tLoss: 104.080994\n",
"Train Epoch: 47 [16640/60000 (28%)]\tLoss: 103.709175\n",
"Train Epoch: 47 [17920/60000 (30%)]\tLoss: 98.912903\n",
"Train Epoch: 47 [19200/60000 (32%)]\tLoss: 104.256683\n",
"Train Epoch: 47 [20480/60000 (34%)]\tLoss: 102.621841\n",
"Train Epoch: 47 [21760/60000 (36%)]\tLoss: 96.678604\n",
"Train Epoch: 47 [23040/60000 (38%)]\tLoss: 101.770462\n",
"Train Epoch: 47 [24320/60000 (41%)]\tLoss: 99.795433\n",
"Train Epoch: 47 [25600/60000 (43%)]\tLoss: 101.858841\n",
"Train Epoch: 47 [26880/60000 (45%)]\tLoss: 99.865173\n",
"Train Epoch: 47 [28160/60000 (47%)]\tLoss: 101.458313\n",
"Train Epoch: 47 [29440/60000 (49%)]\tLoss: 101.642998\n",
"Train Epoch: 47 [30720/60000 (51%)]\tLoss: 100.861092\n",
"Train Epoch: 47 [32000/60000 (53%)]\tLoss: 102.180847\n",
"Train Epoch: 47 [33280/60000 (55%)]\tLoss: 100.536888\n",
"Train Epoch: 47 [34560/60000 (58%)]\tLoss: 100.305733\n",
"Train Epoch: 47 [35840/60000 (60%)]\tLoss: 102.257370\n",
"Train Epoch: 47 [37120/60000 (62%)]\tLoss: 101.154732\n",
"Train Epoch: 47 [38400/60000 (64%)]\tLoss: 101.390106\n",
"Train Epoch: 47 [39680/60000 (66%)]\tLoss: 109.816299\n",
"Train Epoch: 47 [40960/60000 (68%)]\tLoss: 100.695953\n",
"Train Epoch: 47 [42240/60000 (70%)]\tLoss: 100.886833\n",
"Train Epoch: 47 [43520/60000 (72%)]\tLoss: 105.140556\n",
"Train Epoch: 47 [44800/60000 (75%)]\tLoss: 97.026215\n",
"Train Epoch: 47 [46080/60000 (77%)]\tLoss: 106.059723\n",
"Train Epoch: 47 [47360/60000 (79%)]\tLoss: 103.203247\n",
"Train Epoch: 47 [48640/60000 (81%)]\tLoss: 103.529999\n",
"Train Epoch: 47 [49920/60000 (83%)]\tLoss: 102.431259\n",
"Train Epoch: 47 [51200/60000 (85%)]\tLoss: 101.678009\n",
"Train Epoch: 47 [52480/60000 (87%)]\tLoss: 97.269989\n",
"Train Epoch: 47 [53760/60000 (90%)]\tLoss: 98.648529\n",
"Train Epoch: 47 [55040/60000 (92%)]\tLoss: 102.127892\n",
"Train Epoch: 47 [56320/60000 (94%)]\tLoss: 98.828323\n",
"Train Epoch: 47 [57600/60000 (96%)]\tLoss: 101.383949\n",
"Train Epoch: 47 [58880/60000 (98%)]\tLoss: 100.942947\n",
"====> Epoch: 47 Average loss: 101.9912\n",
"====> Test set loss: 93.4850\n",
"Train Epoch: 48 [0/60000 (0%)]\tLoss: 99.214417\n",
"Train Epoch: 48 [1280/60000 (2%)]\tLoss: 101.839432\n",
"Train Epoch: 48 [2560/60000 (4%)]\tLoss: 102.237328\n",
"Train Epoch: 48 [3840/60000 (6%)]\tLoss: 103.256607\n",
"Train Epoch: 48 [5120/60000 (9%)]\tLoss: 100.822678\n",
"Train Epoch: 48 [6400/60000 (11%)]\tLoss: 98.113289\n",
"Train Epoch: 48 [7680/60000 (13%)]\tLoss: 100.375572\n",
"Train Epoch: 48 [8960/60000 (15%)]\tLoss: 105.871368\n",
"Train Epoch: 48 [10240/60000 (17%)]\tLoss: 104.307243\n",
"Train Epoch: 48 [11520/60000 (19%)]\tLoss: 102.407227\n",
"Train Epoch: 48 [12800/60000 (21%)]\tLoss: 99.759407\n",
"Train Epoch: 48 [14080/60000 (23%)]\tLoss: 101.231705\n",
"Train Epoch: 48 [15360/60000 (26%)]\tLoss: 104.413269\n",
"Train Epoch: 48 [16640/60000 (28%)]\tLoss: 101.204453\n",
"Train Epoch: 48 [17920/60000 (30%)]\tLoss: 100.426132\n",
"Train Epoch: 48 [19200/60000 (32%)]\tLoss: 102.301773\n",
"Train Epoch: 48 [20480/60000 (34%)]\tLoss: 99.746643\n",
"Train Epoch: 48 [21760/60000 (36%)]\tLoss: 106.013985\n",
"Train Epoch: 48 [23040/60000 (38%)]\tLoss: 101.220230\n",
"Train Epoch: 48 [24320/60000 (41%)]\tLoss: 102.780975\n",
"Train Epoch: 48 [25600/60000 (43%)]\tLoss: 99.579002\n",
"Train Epoch: 48 [26880/60000 (45%)]\tLoss: 99.584679\n",
"Train Epoch: 48 [28160/60000 (47%)]\tLoss: 104.577919\n",
"Train Epoch: 48 [29440/60000 (49%)]\tLoss: 103.670944\n",
"Train Epoch: 48 [30720/60000 (51%)]\tLoss: 101.689644\n",
"Train Epoch: 48 [32000/60000 (53%)]\tLoss: 104.556908\n",
"Train Epoch: 48 [33280/60000 (55%)]\tLoss: 99.793396\n",
"Train Epoch: 48 [34560/60000 (58%)]\tLoss: 103.495644\n",
"Train Epoch: 48 [35840/60000 (60%)]\tLoss: 101.970886\n",
"Train Epoch: 48 [37120/60000 (62%)]\tLoss: 99.810974\n",
"Train Epoch: 48 [38400/60000 (64%)]\tLoss: 101.065659\n",
"Train Epoch: 48 [39680/60000 (66%)]\tLoss: 99.874588\n",
"Train Epoch: 48 [40960/60000 (68%)]\tLoss: 97.941208\n",
"Train Epoch: 48 [42240/60000 (70%)]\tLoss: 97.799408\n",
"Train Epoch: 48 [43520/60000 (72%)]\tLoss: 103.003433\n",
"Train Epoch: 48 [44800/60000 (75%)]\tLoss: 101.925598\n",
"Train Epoch: 48 [46080/60000 (77%)]\tLoss: 100.784607\n",
"Train Epoch: 48 [47360/60000 (79%)]\tLoss: 101.304535\n",
"Train Epoch: 48 [48640/60000 (81%)]\tLoss: 99.180557\n",
"Train Epoch: 48 [49920/60000 (83%)]\tLoss: 102.166733\n",
"Train Epoch: 48 [51200/60000 (85%)]\tLoss: 101.950188\n",
"Train Epoch: 48 [52480/60000 (87%)]\tLoss: 101.542580\n",
"Train Epoch: 48 [53760/60000 (90%)]\tLoss: 102.638947\n",
"Train Epoch: 48 [55040/60000 (92%)]\tLoss: 101.835815\n",
"Train Epoch: 48 [56320/60000 (94%)]\tLoss: 105.013458\n",
"Train Epoch: 48 [57600/60000 (96%)]\tLoss: 101.301559\n",
"Train Epoch: 48 [58880/60000 (98%)]\tLoss: 99.532799\n",
"====> Epoch: 48 Average loss: 101.9525\n",
"====> Test set loss: 93.8520\n",
"Train Epoch: 49 [0/60000 (0%)]\tLoss: 102.214142\n",
"Train Epoch: 49 [1280/60000 (2%)]\tLoss: 101.031418\n",
"Train Epoch: 49 [2560/60000 (4%)]\tLoss: 99.219162\n",
"Train Epoch: 49 [3840/60000 (6%)]\tLoss: 104.197365\n",
"Train Epoch: 49 [5120/60000 (9%)]\tLoss: 100.612839\n",
"Train Epoch: 49 [6400/60000 (11%)]\tLoss: 102.612709\n",
"Train Epoch: 49 [7680/60000 (13%)]\tLoss: 100.727112\n",
"Train Epoch: 49 [8960/60000 (15%)]\tLoss: 98.543922\n",
"Train Epoch: 49 [10240/60000 (17%)]\tLoss: 101.816521\n",
"Train Epoch: 49 [11520/60000 (19%)]\tLoss: 101.072235\n",
"Train Epoch: 49 [12800/60000 (21%)]\tLoss: 105.270866\n",
"Train Epoch: 49 [14080/60000 (23%)]\tLoss: 100.986130\n",
"Train Epoch: 49 [15360/60000 (26%)]\tLoss: 106.445351\n",
"Train Epoch: 49 [16640/60000 (28%)]\tLoss: 102.866516\n",
"Train Epoch: 49 [17920/60000 (30%)]\tLoss: 103.573151\n",
"Train Epoch: 49 [19200/60000 (32%)]\tLoss: 103.585953\n",
"Train Epoch: 49 [20480/60000 (34%)]\tLoss: 102.818352\n",
"Train Epoch: 49 [21760/60000 (36%)]\tLoss: 105.561813\n",
"Train Epoch: 49 [23040/60000 (38%)]\tLoss: 100.798027\n",
"Train Epoch: 49 [24320/60000 (41%)]\tLoss: 104.461647\n",
"Train Epoch: 49 [25600/60000 (43%)]\tLoss: 99.961472\n",
"Train Epoch: 49 [26880/60000 (45%)]\tLoss: 101.757927\n",
"Train Epoch: 49 [28160/60000 (47%)]\tLoss: 102.869934\n",
"Train Epoch: 49 [29440/60000 (49%)]\tLoss: 101.932274\n",
"Train Epoch: 49 [30720/60000 (51%)]\tLoss: 100.825073\n",
"Train Epoch: 49 [32000/60000 (53%)]\tLoss: 103.747269\n",
"Train Epoch: 49 [33280/60000 (55%)]\tLoss: 100.273422\n",
"Train Epoch: 49 [34560/60000 (58%)]\tLoss: 100.958641\n",
"Train Epoch: 49 [35840/60000 (60%)]\tLoss: 104.206535\n",
"Train Epoch: 49 [37120/60000 (62%)]\tLoss: 103.249107\n",
"Train Epoch: 49 [38400/60000 (64%)]\tLoss: 102.935249\n",
"Train Epoch: 49 [39680/60000 (66%)]\tLoss: 100.745148\n",
"Train Epoch: 49 [40960/60000 (68%)]\tLoss: 104.311905\n",
"Train Epoch: 49 [42240/60000 (70%)]\tLoss: 96.470551\n",
"Train Epoch: 49 [43520/60000 (72%)]\tLoss: 99.953209\n",
"Train Epoch: 49 [44800/60000 (75%)]\tLoss: 101.549469\n",
"Train Epoch: 49 [46080/60000 (77%)]\tLoss: 101.474281\n",
"Train Epoch: 49 [47360/60000 (79%)]\tLoss: 104.357597\n",
"Train Epoch: 49 [48640/60000 (81%)]\tLoss: 103.342392\n",
"Train Epoch: 49 [49920/60000 (83%)]\tLoss: 103.938057\n",
"Train Epoch: 49 [51200/60000 (85%)]\tLoss: 102.750748\n",
"Train Epoch: 49 [52480/60000 (87%)]\tLoss: 104.218773\n",
"Train Epoch: 49 [53760/60000 (90%)]\tLoss: 103.760857\n",
"Train Epoch: 49 [55040/60000 (92%)]\tLoss: 102.349854\n",
"Train Epoch: 49 [56320/60000 (94%)]\tLoss: 102.349884\n",
"Train Epoch: 49 [57600/60000 (96%)]\tLoss: 99.958176\n",
"Train Epoch: 49 [58880/60000 (98%)]\tLoss: 103.832764\n",
"====> Epoch: 49 Average loss: 101.9143\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Test set loss: 94.2043\n",
"Train Epoch: 50 [0/60000 (0%)]\tLoss: 101.766838\n",
"Train Epoch: 50 [1280/60000 (2%)]\tLoss: 101.042839\n",
"Train Epoch: 50 [2560/60000 (4%)]\tLoss: 101.753159\n",
"Train Epoch: 50 [3840/60000 (6%)]\tLoss: 102.164307\n",
"Train Epoch: 50 [5120/60000 (9%)]\tLoss: 103.719452\n",
"Train Epoch: 50 [6400/60000 (11%)]\tLoss: 102.966682\n",
"Train Epoch: 50 [7680/60000 (13%)]\tLoss: 101.515709\n",
"Train Epoch: 50 [8960/60000 (15%)]\tLoss: 101.908524\n",
"Train Epoch: 50 [10240/60000 (17%)]\tLoss: 101.152283\n",
"Train Epoch: 50 [11520/60000 (19%)]\tLoss: 101.369553\n",
"Train Epoch: 50 [12800/60000 (21%)]\tLoss: 103.721214\n",
"Train Epoch: 50 [14080/60000 (23%)]\tLoss: 99.179840\n",
"Train Epoch: 50 [15360/60000 (26%)]\tLoss: 103.654861\n",
"Train Epoch: 50 [16640/60000 (28%)]\tLoss: 105.565567\n",
"Train Epoch: 50 [17920/60000 (30%)]\tLoss: 103.146507\n",
"Train Epoch: 50 [19200/60000 (32%)]\tLoss: 101.718338\n",
"Train Epoch: 50 [20480/60000 (34%)]\tLoss: 102.138405\n",
"Train Epoch: 50 [21760/60000 (36%)]\tLoss: 101.741074\n",
"Train Epoch: 50 [23040/60000 (38%)]\tLoss: 102.217911\n",
"Train Epoch: 50 [24320/60000 (41%)]\tLoss: 97.615944\n",
"Train Epoch: 50 [25600/60000 (43%)]\tLoss: 100.523048\n",
"Train Epoch: 50 [26880/60000 (45%)]\tLoss: 103.710938\n",
"Train Epoch: 50 [28160/60000 (47%)]\tLoss: 104.196861\n",
"Train Epoch: 50 [29440/60000 (49%)]\tLoss: 103.495087\n",
"Train Epoch: 50 [30720/60000 (51%)]\tLoss: 98.362335\n",
"Train Epoch: 50 [32000/60000 (53%)]\tLoss: 98.739044\n",
"Train Epoch: 50 [33280/60000 (55%)]\tLoss: 101.287552\n",
"Train Epoch: 50 [34560/60000 (58%)]\tLoss: 104.611816\n",
"Train Epoch: 50 [35840/60000 (60%)]\tLoss: 102.949501\n",
"Train Epoch: 50 [37120/60000 (62%)]\tLoss: 101.786415\n",
"Train Epoch: 50 [38400/60000 (64%)]\tLoss: 104.639465\n",
"Train Epoch: 50 [39680/60000 (66%)]\tLoss: 100.022919\n",
"Train Epoch: 50 [40960/60000 (68%)]\tLoss: 103.627533\n",
"Train Epoch: 50 [42240/60000 (70%)]\tLoss: 102.598122\n",
"Train Epoch: 50 [43520/60000 (72%)]\tLoss: 99.091362\n",
"Train Epoch: 50 [44800/60000 (75%)]\tLoss: 104.120895\n",
"Train Epoch: 50 [46080/60000 (77%)]\tLoss: 101.964455\n",
"Train Epoch: 50 [47360/60000 (79%)]\tLoss: 101.688263\n",
"Train Epoch: 50 [48640/60000 (81%)]\tLoss: 102.312996\n",
"Train Epoch: 50 [49920/60000 (83%)]\tLoss: 102.672050\n",
"Train Epoch: 50 [51200/60000 (85%)]\tLoss: 99.710632\n",
"Train Epoch: 50 [52480/60000 (87%)]\tLoss: 102.501083\n",
"Train Epoch: 50 [53760/60000 (90%)]\tLoss: 101.565460\n",
"Train Epoch: 50 [55040/60000 (92%)]\tLoss: 98.738174\n",
"Train Epoch: 50 [56320/60000 (94%)]\tLoss: 103.488480\n",
"Train Epoch: 50 [57600/60000 (96%)]\tLoss: 101.657990\n",
"Train Epoch: 50 [58880/60000 (98%)]\tLoss: 103.189102\n",
"====> Epoch: 50 Average loss: 101.8786\n",
"====> Test set loss: 93.6155\n",
"Train Epoch: 51 [0/60000 (0%)]\tLoss: 98.843262\n",
"Train Epoch: 51 [1280/60000 (2%)]\tLoss: 98.711082\n",
"Train Epoch: 51 [2560/60000 (4%)]\tLoss: 102.585205\n",
"Train Epoch: 51 [3840/60000 (6%)]\tLoss: 101.578812\n",
"Train Epoch: 51 [5120/60000 (9%)]\tLoss: 95.309525\n",
"Train Epoch: 51 [6400/60000 (11%)]\tLoss: 101.901543\n",
"Train Epoch: 51 [7680/60000 (13%)]\tLoss: 102.958221\n",
"Train Epoch: 51 [8960/60000 (15%)]\tLoss: 104.442001\n",
"Train Epoch: 51 [10240/60000 (17%)]\tLoss: 105.057526\n",
"Train Epoch: 51 [11520/60000 (19%)]\tLoss: 103.317596\n",
"Train Epoch: 51 [12800/60000 (21%)]\tLoss: 102.755188\n",
"Train Epoch: 51 [14080/60000 (23%)]\tLoss: 103.793037\n",
"Train Epoch: 51 [15360/60000 (26%)]\tLoss: 103.946167\n",
"Train Epoch: 51 [16640/60000 (28%)]\tLoss: 103.329559\n",
"Train Epoch: 51 [17920/60000 (30%)]\tLoss: 101.721588\n",
"Train Epoch: 51 [19200/60000 (32%)]\tLoss: 103.407478\n",
"Train Epoch: 51 [20480/60000 (34%)]\tLoss: 104.650383\n",
"Train Epoch: 51 [21760/60000 (36%)]\tLoss: 103.130112\n",
"Train Epoch: 51 [23040/60000 (38%)]\tLoss: 103.519974\n",
"Train Epoch: 51 [24320/60000 (41%)]\tLoss: 101.091248\n",
"Train Epoch: 51 [25600/60000 (43%)]\tLoss: 104.525429\n",
"Train Epoch: 51 [26880/60000 (45%)]\tLoss: 104.155052\n",
"Train Epoch: 51 [28160/60000 (47%)]\tLoss: 96.576508\n",
"Train Epoch: 51 [29440/60000 (49%)]\tLoss: 101.291153\n",
"Train Epoch: 51 [30720/60000 (51%)]\tLoss: 102.376495\n",
"Train Epoch: 51 [32000/60000 (53%)]\tLoss: 103.034332\n",
"Train Epoch: 51 [33280/60000 (55%)]\tLoss: 98.799576\n",
"Train Epoch: 51 [34560/60000 (58%)]\tLoss: 100.258568\n",
"Train Epoch: 51 [35840/60000 (60%)]\tLoss: 102.079201\n",
"Train Epoch: 51 [37120/60000 (62%)]\tLoss: 105.632248\n",
"Train Epoch: 51 [38400/60000 (64%)]\tLoss: 105.362221\n",
"Train Epoch: 51 [39680/60000 (66%)]\tLoss: 101.508545\n",
"Train Epoch: 51 [40960/60000 (68%)]\tLoss: 101.170799\n",
"Train Epoch: 51 [42240/60000 (70%)]\tLoss: 100.251862\n",
"Train Epoch: 51 [43520/60000 (72%)]\tLoss: 103.984612\n",
"Train Epoch: 51 [44800/60000 (75%)]\tLoss: 103.120682\n",
"Train Epoch: 51 [46080/60000 (77%)]\tLoss: 100.454262\n",
"Train Epoch: 51 [47360/60000 (79%)]\tLoss: 101.453674\n",
"Train Epoch: 51 [48640/60000 (81%)]\tLoss: 100.848633\n",
"Train Epoch: 51 [49920/60000 (83%)]\tLoss: 99.507431\n",
"Train Epoch: 51 [51200/60000 (85%)]\tLoss: 101.527359\n",
"Train Epoch: 51 [52480/60000 (87%)]\tLoss: 102.524879\n",
"Train Epoch: 51 [53760/60000 (90%)]\tLoss: 98.139938\n",
"Train Epoch: 51 [55040/60000 (92%)]\tLoss: 101.802338\n",
"Train Epoch: 51 [56320/60000 (94%)]\tLoss: 106.397606\n",
"Train Epoch: 51 [57600/60000 (96%)]\tLoss: 102.680771\n",
"Train Epoch: 51 [58880/60000 (98%)]\tLoss: 103.496742\n",
"====> Epoch: 51 Average loss: 101.8450\n",
"====> Test set loss: 93.3081\n",
"Train Epoch: 52 [0/60000 (0%)]\tLoss: 103.401810\n",
"Train Epoch: 52 [1280/60000 (2%)]\tLoss: 102.476944\n",
"Train Epoch: 52 [2560/60000 (4%)]\tLoss: 103.501999\n",
"Train Epoch: 52 [3840/60000 (6%)]\tLoss: 98.495911\n",
"Train Epoch: 52 [5120/60000 (9%)]\tLoss: 97.787773\n",
"Train Epoch: 52 [6400/60000 (11%)]\tLoss: 98.671593\n",
"Train Epoch: 52 [7680/60000 (13%)]\tLoss: 100.748871\n",
"Train Epoch: 52 [8960/60000 (15%)]\tLoss: 98.594421\n",
"Train Epoch: 52 [10240/60000 (17%)]\tLoss: 101.144775\n",
"Train Epoch: 52 [11520/60000 (19%)]\tLoss: 108.962547\n",
"Train Epoch: 52 [12800/60000 (21%)]\tLoss: 105.530495\n",
"Train Epoch: 52 [14080/60000 (23%)]\tLoss: 101.915390\n",
"Train Epoch: 52 [15360/60000 (26%)]\tLoss: 99.125793\n",
"Train Epoch: 52 [16640/60000 (28%)]\tLoss: 104.552795\n",
"Train Epoch: 52 [17920/60000 (30%)]\tLoss: 102.433449\n",
"Train Epoch: 52 [19200/60000 (32%)]\tLoss: 102.287865\n",
"Train Epoch: 52 [20480/60000 (34%)]\tLoss: 103.554832\n",
"Train Epoch: 52 [21760/60000 (36%)]\tLoss: 100.345322\n",
"Train Epoch: 52 [23040/60000 (38%)]\tLoss: 104.207253\n",
"Train Epoch: 52 [24320/60000 (41%)]\tLoss: 101.078323\n",
"Train Epoch: 52 [25600/60000 (43%)]\tLoss: 99.158638\n",
"Train Epoch: 52 [26880/60000 (45%)]\tLoss: 99.251717\n",
"Train Epoch: 52 [28160/60000 (47%)]\tLoss: 101.648865\n",
"Train Epoch: 52 [29440/60000 (49%)]\tLoss: 104.455208\n",
"Train Epoch: 52 [30720/60000 (51%)]\tLoss: 100.234192\n",
"Train Epoch: 52 [32000/60000 (53%)]\tLoss: 99.805771\n",
"Train Epoch: 52 [33280/60000 (55%)]\tLoss: 97.799911\n",
"Train Epoch: 52 [34560/60000 (58%)]\tLoss: 102.107018\n",
"Train Epoch: 52 [35840/60000 (60%)]\tLoss: 102.008347\n",
"Train Epoch: 52 [37120/60000 (62%)]\tLoss: 101.496521\n",
"Train Epoch: 52 [38400/60000 (64%)]\tLoss: 102.095116\n",
"Train Epoch: 52 [39680/60000 (66%)]\tLoss: 105.021469\n",
"Train Epoch: 52 [40960/60000 (68%)]\tLoss: 104.096985\n",
"Train Epoch: 52 [42240/60000 (70%)]\tLoss: 101.713776\n",
"Train Epoch: 52 [43520/60000 (72%)]\tLoss: 97.607162\n",
"Train Epoch: 52 [44800/60000 (75%)]\tLoss: 104.363495\n",
"Train Epoch: 52 [46080/60000 (77%)]\tLoss: 104.869072\n",
"Train Epoch: 52 [47360/60000 (79%)]\tLoss: 100.127464\n",
"Train Epoch: 52 [48640/60000 (81%)]\tLoss: 100.892570\n",
"Train Epoch: 52 [49920/60000 (83%)]\tLoss: 105.164764\n",
"Train Epoch: 52 [51200/60000 (85%)]\tLoss: 101.486076\n",
"Train Epoch: 52 [52480/60000 (87%)]\tLoss: 100.203384\n",
"Train Epoch: 52 [53760/60000 (90%)]\tLoss: 102.007950\n",
"Train Epoch: 52 [55040/60000 (92%)]\tLoss: 97.046463\n",
"Train Epoch: 52 [56320/60000 (94%)]\tLoss: 99.138733\n",
"Train Epoch: 52 [57600/60000 (96%)]\tLoss: 104.105125\n",
"Train Epoch: 52 [58880/60000 (98%)]\tLoss: 100.249596\n",
"====> Epoch: 52 Average loss: 101.7850\n",
"====> Test set loss: 93.1735\n",
"Train Epoch: 53 [0/60000 (0%)]\tLoss: 101.267746\n",
"Train Epoch: 53 [1280/60000 (2%)]\tLoss: 103.755104\n",
"Train Epoch: 53 [2560/60000 (4%)]\tLoss: 99.150543\n",
"Train Epoch: 53 [3840/60000 (6%)]\tLoss: 102.921494\n",
"Train Epoch: 53 [5120/60000 (9%)]\tLoss: 100.645813\n",
"Train Epoch: 53 [6400/60000 (11%)]\tLoss: 102.274353\n",
"Train Epoch: 53 [7680/60000 (13%)]\tLoss: 100.101700\n",
"Train Epoch: 53 [8960/60000 (15%)]\tLoss: 100.956375\n",
"Train Epoch: 53 [10240/60000 (17%)]\tLoss: 103.041954\n",
"Train Epoch: 53 [11520/60000 (19%)]\tLoss: 103.704514\n",
"Train Epoch: 53 [12800/60000 (21%)]\tLoss: 102.698143\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 53 [14080/60000 (23%)]\tLoss: 103.634308\n",
"Train Epoch: 53 [15360/60000 (26%)]\tLoss: 100.321716\n",
"Train Epoch: 53 [16640/60000 (28%)]\tLoss: 100.646599\n",
"Train Epoch: 53 [17920/60000 (30%)]\tLoss: 100.713928\n",
"Train Epoch: 53 [19200/60000 (32%)]\tLoss: 107.186691\n",
"Train Epoch: 53 [20480/60000 (34%)]\tLoss: 102.269920\n",
"Train Epoch: 53 [21760/60000 (36%)]\tLoss: 101.198242\n",
"Train Epoch: 53 [23040/60000 (38%)]\tLoss: 101.845963\n",
"Train Epoch: 53 [24320/60000 (41%)]\tLoss: 102.991631\n",
"Train Epoch: 53 [25600/60000 (43%)]\tLoss: 104.699890\n",
"Train Epoch: 53 [26880/60000 (45%)]\tLoss: 100.241348\n",
"Train Epoch: 53 [28160/60000 (47%)]\tLoss: 99.552864\n",
"Train Epoch: 53 [29440/60000 (49%)]\tLoss: 100.758667\n",
"Train Epoch: 53 [30720/60000 (51%)]\tLoss: 102.179565\n",
"Train Epoch: 53 [32000/60000 (53%)]\tLoss: 104.959419\n",
"Train Epoch: 53 [33280/60000 (55%)]\tLoss: 103.579102\n",
"Train Epoch: 53 [34560/60000 (58%)]\tLoss: 99.775940\n",
"Train Epoch: 53 [35840/60000 (60%)]\tLoss: 101.476929\n",
"Train Epoch: 53 [37120/60000 (62%)]\tLoss: 101.219284\n",
"Train Epoch: 53 [38400/60000 (64%)]\tLoss: 99.294884\n",
"Train Epoch: 53 [39680/60000 (66%)]\tLoss: 102.249962\n",
"Train Epoch: 53 [40960/60000 (68%)]\tLoss: 103.388489\n",
"Train Epoch: 53 [42240/60000 (70%)]\tLoss: 98.771133\n",
"Train Epoch: 53 [43520/60000 (72%)]\tLoss: 102.438782\n",
"Train Epoch: 53 [44800/60000 (75%)]\tLoss: 102.989159\n",
"Train Epoch: 53 [46080/60000 (77%)]\tLoss: 101.176575\n",
"Train Epoch: 53 [47360/60000 (79%)]\tLoss: 100.499596\n",
"Train Epoch: 53 [48640/60000 (81%)]\tLoss: 100.818245\n",
"Train Epoch: 53 [49920/60000 (83%)]\tLoss: 98.584839\n",
"Train Epoch: 53 [51200/60000 (85%)]\tLoss: 99.904587\n",
"Train Epoch: 53 [52480/60000 (87%)]\tLoss: 101.628494\n",
"Train Epoch: 53 [53760/60000 (90%)]\tLoss: 103.908035\n",
"Train Epoch: 53 [55040/60000 (92%)]\tLoss: 96.616302\n",
"Train Epoch: 53 [56320/60000 (94%)]\tLoss: 99.937782\n",
"Train Epoch: 53 [57600/60000 (96%)]\tLoss: 100.474823\n",
"Train Epoch: 53 [58880/60000 (98%)]\tLoss: 102.280853\n",
"====> Epoch: 53 Average loss: 101.7205\n",
"====> Test set loss: 93.6259\n",
"Train Epoch: 54 [0/60000 (0%)]\tLoss: 100.334732\n",
"Train Epoch: 54 [1280/60000 (2%)]\tLoss: 101.048935\n",
"Train Epoch: 54 [2560/60000 (4%)]\tLoss: 104.650009\n",
"Train Epoch: 54 [3840/60000 (6%)]\tLoss: 100.663071\n",
"Train Epoch: 54 [5120/60000 (9%)]\tLoss: 100.829742\n",
"Train Epoch: 54 [6400/60000 (11%)]\tLoss: 107.297173\n",
"Train Epoch: 54 [7680/60000 (13%)]\tLoss: 102.577621\n",
"Train Epoch: 54 [8960/60000 (15%)]\tLoss: 104.930420\n",
"Train Epoch: 54 [10240/60000 (17%)]\tLoss: 101.179634\n",
"Train Epoch: 54 [11520/60000 (19%)]\tLoss: 103.499496\n",
"Train Epoch: 54 [12800/60000 (21%)]\tLoss: 102.627243\n",
"Train Epoch: 54 [14080/60000 (23%)]\tLoss: 102.789246\n",
"Train Epoch: 54 [15360/60000 (26%)]\tLoss: 102.365936\n",
"Train Epoch: 54 [16640/60000 (28%)]\tLoss: 99.128891\n",
"Train Epoch: 54 [17920/60000 (30%)]\tLoss: 101.107849\n",
"Train Epoch: 54 [19200/60000 (32%)]\tLoss: 99.456497\n",
"Train Epoch: 54 [20480/60000 (34%)]\tLoss: 102.967072\n",
"Train Epoch: 54 [21760/60000 (36%)]\tLoss: 101.756096\n",
"Train Epoch: 54 [23040/60000 (38%)]\tLoss: 98.579636\n",
"Train Epoch: 54 [24320/60000 (41%)]\tLoss: 101.491531\n",
"Train Epoch: 54 [25600/60000 (43%)]\tLoss: 100.741241\n",
"Train Epoch: 54 [26880/60000 (45%)]\tLoss: 100.394424\n",
"Train Epoch: 54 [28160/60000 (47%)]\tLoss: 107.769730\n",
"Train Epoch: 54 [29440/60000 (49%)]\tLoss: 98.861954\n",
"Train Epoch: 54 [30720/60000 (51%)]\tLoss: 98.784103\n",
"Train Epoch: 54 [32000/60000 (53%)]\tLoss: 104.337662\n",
"Train Epoch: 54 [33280/60000 (55%)]\tLoss: 103.029625\n",
"Train Epoch: 54 [34560/60000 (58%)]\tLoss: 102.149529\n",
"Train Epoch: 54 [35840/60000 (60%)]\tLoss: 104.497696\n",
"Train Epoch: 54 [37120/60000 (62%)]\tLoss: 99.499100\n",
"Train Epoch: 54 [38400/60000 (64%)]\tLoss: 102.112946\n",
"Train Epoch: 54 [39680/60000 (66%)]\tLoss: 99.527008\n",
"Train Epoch: 54 [40960/60000 (68%)]\tLoss: 104.777756\n",
"Train Epoch: 54 [42240/60000 (70%)]\tLoss: 99.763634\n",
"Train Epoch: 54 [43520/60000 (72%)]\tLoss: 98.372742\n",
"Train Epoch: 54 [44800/60000 (75%)]\tLoss: 99.517258\n",
"Train Epoch: 54 [46080/60000 (77%)]\tLoss: 99.163849\n",
"Train Epoch: 54 [47360/60000 (79%)]\tLoss: 102.243103\n",
"Train Epoch: 54 [48640/60000 (81%)]\tLoss: 104.923355\n",
"Train Epoch: 54 [49920/60000 (83%)]\tLoss: 101.503479\n",
"Train Epoch: 54 [51200/60000 (85%)]\tLoss: 99.188339\n",
"Train Epoch: 54 [52480/60000 (87%)]\tLoss: 101.973320\n",
"Train Epoch: 54 [53760/60000 (90%)]\tLoss: 104.126602\n",
"Train Epoch: 54 [55040/60000 (92%)]\tLoss: 98.874313\n",
"Train Epoch: 54 [56320/60000 (94%)]\tLoss: 100.333496\n",
"Train Epoch: 54 [57600/60000 (96%)]\tLoss: 100.234520\n",
"Train Epoch: 54 [58880/60000 (98%)]\tLoss: 103.103065\n",
"====> Epoch: 54 Average loss: 101.7225\n",
"====> Test set loss: 93.9081\n",
"Train Epoch: 55 [0/60000 (0%)]\tLoss: 103.472481\n",
"Train Epoch: 55 [1280/60000 (2%)]\tLoss: 100.321838\n",
"Train Epoch: 55 [2560/60000 (4%)]\tLoss: 99.551857\n",
"Train Epoch: 55 [3840/60000 (6%)]\tLoss: 99.689171\n",
"Train Epoch: 55 [5120/60000 (9%)]\tLoss: 102.526733\n",
"Train Epoch: 55 [6400/60000 (11%)]\tLoss: 101.405685\n",
"Train Epoch: 55 [7680/60000 (13%)]\tLoss: 107.089859\n",
"Train Epoch: 55 [8960/60000 (15%)]\tLoss: 98.623428\n",
"Train Epoch: 55 [10240/60000 (17%)]\tLoss: 100.480392\n",
"Train Epoch: 55 [11520/60000 (19%)]\tLoss: 99.596642\n",
"Train Epoch: 55 [12800/60000 (21%)]\tLoss: 104.990570\n",
"Train Epoch: 55 [14080/60000 (23%)]\tLoss: 102.409676\n",
"Train Epoch: 55 [15360/60000 (26%)]\tLoss: 101.366562\n",
"Train Epoch: 55 [16640/60000 (28%)]\tLoss: 101.539505\n",
"Train Epoch: 55 [17920/60000 (30%)]\tLoss: 101.837723\n",
"Train Epoch: 55 [19200/60000 (32%)]\tLoss: 98.414833\n",
"Train Epoch: 55 [20480/60000 (34%)]\tLoss: 103.573883\n",
"Train Epoch: 55 [21760/60000 (36%)]\tLoss: 104.252365\n",
"Train Epoch: 55 [23040/60000 (38%)]\tLoss: 103.331085\n",
"Train Epoch: 55 [24320/60000 (41%)]\tLoss: 102.031456\n",
"Train Epoch: 55 [25600/60000 (43%)]\tLoss: 102.656723\n",
"Train Epoch: 55 [26880/60000 (45%)]\tLoss: 103.421906\n",
"Train Epoch: 55 [28160/60000 (47%)]\tLoss: 102.630951\n",
"Train Epoch: 55 [29440/60000 (49%)]\tLoss: 100.310326\n",
"Train Epoch: 55 [30720/60000 (51%)]\tLoss: 99.339462\n",
"Train Epoch: 55 [32000/60000 (53%)]\tLoss: 103.744095\n",
"Train Epoch: 55 [33280/60000 (55%)]\tLoss: 101.113586\n",
"Train Epoch: 55 [34560/60000 (58%)]\tLoss: 99.545860\n",
"Train Epoch: 55 [35840/60000 (60%)]\tLoss: 104.540909\n",
"Train Epoch: 55 [37120/60000 (62%)]\tLoss: 100.396301\n",
"Train Epoch: 55 [38400/60000 (64%)]\tLoss: 101.239105\n",
"Train Epoch: 55 [39680/60000 (66%)]\tLoss: 105.179787\n",
"Train Epoch: 55 [40960/60000 (68%)]\tLoss: 101.979424\n",
"Train Epoch: 55 [42240/60000 (70%)]\tLoss: 103.849670\n",
"Train Epoch: 55 [43520/60000 (72%)]\tLoss: 102.813721\n",
"Train Epoch: 55 [44800/60000 (75%)]\tLoss: 101.217339\n",
"Train Epoch: 55 [46080/60000 (77%)]\tLoss: 102.967148\n",
"Train Epoch: 55 [47360/60000 (79%)]\tLoss: 104.930939\n",
"Train Epoch: 55 [48640/60000 (81%)]\tLoss: 100.929871\n",
"Train Epoch: 55 [49920/60000 (83%)]\tLoss: 99.381927\n",
"Train Epoch: 55 [51200/60000 (85%)]\tLoss: 101.052498\n",
"Train Epoch: 55 [52480/60000 (87%)]\tLoss: 107.574219\n",
"Train Epoch: 55 [53760/60000 (90%)]\tLoss: 104.634003\n",
"Train Epoch: 55 [55040/60000 (92%)]\tLoss: 104.572960\n",
"Train Epoch: 55 [56320/60000 (94%)]\tLoss: 99.224808\n",
"Train Epoch: 55 [57600/60000 (96%)]\tLoss: 100.096222\n",
"Train Epoch: 55 [58880/60000 (98%)]\tLoss: 105.572830\n",
"====> Epoch: 55 Average loss: 101.7235\n",
"====> Test set loss: 93.2356\n",
"Train Epoch: 56 [0/60000 (0%)]\tLoss: 103.502907\n",
"Train Epoch: 56 [1280/60000 (2%)]\tLoss: 97.783760\n",
"Train Epoch: 56 [2560/60000 (4%)]\tLoss: 100.247498\n",
"Train Epoch: 56 [3840/60000 (6%)]\tLoss: 101.012909\n",
"Train Epoch: 56 [5120/60000 (9%)]\tLoss: 99.820267\n",
"Train Epoch: 56 [6400/60000 (11%)]\tLoss: 101.971466\n",
"Train Epoch: 56 [7680/60000 (13%)]\tLoss: 102.495697\n",
"Train Epoch: 56 [8960/60000 (15%)]\tLoss: 101.711105\n",
"Train Epoch: 56 [10240/60000 (17%)]\tLoss: 99.838608\n",
"Train Epoch: 56 [11520/60000 (19%)]\tLoss: 104.133163\n",
"Train Epoch: 56 [12800/60000 (21%)]\tLoss: 99.746552\n",
"Train Epoch: 56 [14080/60000 (23%)]\tLoss: 102.632500\n",
"Train Epoch: 56 [15360/60000 (26%)]\tLoss: 101.921036\n",
"Train Epoch: 56 [16640/60000 (28%)]\tLoss: 100.523193\n",
"Train Epoch: 56 [17920/60000 (30%)]\tLoss: 103.841660\n",
"Train Epoch: 56 [19200/60000 (32%)]\tLoss: 101.235779\n",
"Train Epoch: 56 [20480/60000 (34%)]\tLoss: 102.441933\n",
"Train Epoch: 56 [21760/60000 (36%)]\tLoss: 103.510544\n",
"Train Epoch: 56 [23040/60000 (38%)]\tLoss: 100.104324\n",
"Train Epoch: 56 [24320/60000 (41%)]\tLoss: 102.309738\n",
"Train Epoch: 56 [25600/60000 (43%)]\tLoss: 100.574280\n",
"Train Epoch: 56 [26880/60000 (45%)]\tLoss: 99.421188\n",
"Train Epoch: 56 [28160/60000 (47%)]\tLoss: 106.093636\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 56 [29440/60000 (49%)]\tLoss: 103.116959\n",
"Train Epoch: 56 [30720/60000 (51%)]\tLoss: 104.672577\n",
"Train Epoch: 56 [32000/60000 (53%)]\tLoss: 102.307312\n",
"Train Epoch: 56 [33280/60000 (55%)]\tLoss: 103.835983\n",
"Train Epoch: 56 [34560/60000 (58%)]\tLoss: 98.533630\n",
"Train Epoch: 56 [35840/60000 (60%)]\tLoss: 100.724396\n",
"Train Epoch: 56 [37120/60000 (62%)]\tLoss: 98.467361\n",
"Train Epoch: 56 [38400/60000 (64%)]\tLoss: 102.326508\n",
"Train Epoch: 56 [39680/60000 (66%)]\tLoss: 100.201050\n",
"Train Epoch: 56 [40960/60000 (68%)]\tLoss: 101.397003\n",
"Train Epoch: 56 [42240/60000 (70%)]\tLoss: 102.195221\n",
"Train Epoch: 56 [43520/60000 (72%)]\tLoss: 101.558975\n",
"Train Epoch: 56 [44800/60000 (75%)]\tLoss: 99.929619\n",
"Train Epoch: 56 [46080/60000 (77%)]\tLoss: 100.818466\n",
"Train Epoch: 56 [47360/60000 (79%)]\tLoss: 107.325668\n",
"Train Epoch: 56 [48640/60000 (81%)]\tLoss: 101.524704\n",
"Train Epoch: 56 [49920/60000 (83%)]\tLoss: 100.562271\n",
"Train Epoch: 56 [51200/60000 (85%)]\tLoss: 101.384308\n",
"Train Epoch: 56 [52480/60000 (87%)]\tLoss: 102.308296\n",
"Train Epoch: 56 [53760/60000 (90%)]\tLoss: 104.482597\n",
"Train Epoch: 56 [55040/60000 (92%)]\tLoss: 100.761116\n",
"Train Epoch: 56 [56320/60000 (94%)]\tLoss: 99.886101\n",
"Train Epoch: 56 [57600/60000 (96%)]\tLoss: 99.526749\n",
"Train Epoch: 56 [58880/60000 (98%)]\tLoss: 102.478508\n",
"====> Epoch: 56 Average loss: 101.6485\n",
"====> Test set loss: 93.5351\n",
"Train Epoch: 57 [0/60000 (0%)]\tLoss: 100.600830\n",
"Train Epoch: 57 [1280/60000 (2%)]\tLoss: 102.755592\n",
"Train Epoch: 57 [2560/60000 (4%)]\tLoss: 101.849388\n",
"Train Epoch: 57 [3840/60000 (6%)]\tLoss: 102.641632\n",
"Train Epoch: 57 [5120/60000 (9%)]\tLoss: 102.982300\n",
"Train Epoch: 57 [6400/60000 (11%)]\tLoss: 102.637985\n",
"Train Epoch: 57 [7680/60000 (13%)]\tLoss: 98.131409\n",
"Train Epoch: 57 [8960/60000 (15%)]\tLoss: 99.967781\n",
"Train Epoch: 57 [10240/60000 (17%)]\tLoss: 95.771271\n",
"Train Epoch: 57 [11520/60000 (19%)]\tLoss: 104.187302\n",
"Train Epoch: 57 [12800/60000 (21%)]\tLoss: 101.582520\n",
"Train Epoch: 57 [14080/60000 (23%)]\tLoss: 103.309967\n",
"Train Epoch: 57 [15360/60000 (26%)]\tLoss: 97.114052\n",
"Train Epoch: 57 [16640/60000 (28%)]\tLoss: 103.074730\n",
"Train Epoch: 57 [17920/60000 (30%)]\tLoss: 102.111298\n",
"Train Epoch: 57 [19200/60000 (32%)]\tLoss: 96.621880\n",
"Train Epoch: 57 [20480/60000 (34%)]\tLoss: 100.926819\n",
"Train Epoch: 57 [21760/60000 (36%)]\tLoss: 100.944962\n",
"Train Epoch: 57 [23040/60000 (38%)]\tLoss: 102.726746\n",
"Train Epoch: 57 [24320/60000 (41%)]\tLoss: 103.071800\n",
"Train Epoch: 57 [25600/60000 (43%)]\tLoss: 100.634369\n",
"Train Epoch: 57 [26880/60000 (45%)]\tLoss: 103.643311\n",
"Train Epoch: 57 [28160/60000 (47%)]\tLoss: 102.454285\n",
"Train Epoch: 57 [29440/60000 (49%)]\tLoss: 101.176300\n",
"Train Epoch: 57 [30720/60000 (51%)]\tLoss: 99.703186\n",
"Train Epoch: 57 [32000/60000 (53%)]\tLoss: 100.613297\n",
"Train Epoch: 57 [33280/60000 (55%)]\tLoss: 105.709641\n",
"Train Epoch: 57 [34560/60000 (58%)]\tLoss: 100.129906\n",
"Train Epoch: 57 [35840/60000 (60%)]\tLoss: 100.822632\n",
"Train Epoch: 57 [37120/60000 (62%)]\tLoss: 101.081276\n",
"Train Epoch: 57 [38400/60000 (64%)]\tLoss: 104.336990\n",
"Train Epoch: 57 [39680/60000 (66%)]\tLoss: 98.063011\n",
"Train Epoch: 57 [40960/60000 (68%)]\tLoss: 100.074921\n",
"Train Epoch: 57 [42240/60000 (70%)]\tLoss: 98.311256\n",
"Train Epoch: 57 [43520/60000 (72%)]\tLoss: 97.730270\n",
"Train Epoch: 57 [44800/60000 (75%)]\tLoss: 99.217995\n",
"Train Epoch: 57 [46080/60000 (77%)]\tLoss: 99.393875\n",
"Train Epoch: 57 [47360/60000 (79%)]\tLoss: 100.499718\n",
"Train Epoch: 57 [48640/60000 (81%)]\tLoss: 100.750435\n",
"Train Epoch: 57 [49920/60000 (83%)]\tLoss: 98.709145\n",
"Train Epoch: 57 [51200/60000 (85%)]\tLoss: 97.556038\n",
"Train Epoch: 57 [52480/60000 (87%)]\tLoss: 102.330490\n",
"Train Epoch: 57 [53760/60000 (90%)]\tLoss: 99.693848\n",
"Train Epoch: 57 [55040/60000 (92%)]\tLoss: 105.473129\n",
"Train Epoch: 57 [56320/60000 (94%)]\tLoss: 100.667099\n",
"Train Epoch: 57 [57600/60000 (96%)]\tLoss: 100.658363\n",
"Train Epoch: 57 [58880/60000 (98%)]\tLoss: 101.780212\n",
"====> Epoch: 57 Average loss: 101.5785\n",
"====> Test set loss: 93.6446\n",
"Train Epoch: 58 [0/60000 (0%)]\tLoss: 100.724632\n",
"Train Epoch: 58 [1280/60000 (2%)]\tLoss: 100.651512\n",
"Train Epoch: 58 [2560/60000 (4%)]\tLoss: 103.780777\n",
"Train Epoch: 58 [3840/60000 (6%)]\tLoss: 102.176041\n",
"Train Epoch: 58 [5120/60000 (9%)]\tLoss: 101.316422\n",
"Train Epoch: 58 [6400/60000 (11%)]\tLoss: 97.887253\n",
"Train Epoch: 58 [7680/60000 (13%)]\tLoss: 101.311554\n",
"Train Epoch: 58 [8960/60000 (15%)]\tLoss: 100.497749\n",
"Train Epoch: 58 [10240/60000 (17%)]\tLoss: 102.544434\n",
"Train Epoch: 58 [11520/60000 (19%)]\tLoss: 103.297768\n",
"Train Epoch: 58 [12800/60000 (21%)]\tLoss: 100.111420\n",
"Train Epoch: 58 [14080/60000 (23%)]\tLoss: 105.808441\n",
"Train Epoch: 58 [15360/60000 (26%)]\tLoss: 100.476852\n",
"Train Epoch: 58 [16640/60000 (28%)]\tLoss: 103.639877\n",
"Train Epoch: 58 [17920/60000 (30%)]\tLoss: 103.735954\n",
"Train Epoch: 58 [19200/60000 (32%)]\tLoss: 101.451607\n",
"Train Epoch: 58 [20480/60000 (34%)]\tLoss: 102.700470\n",
"Train Epoch: 58 [21760/60000 (36%)]\tLoss: 99.609802\n",
"Train Epoch: 58 [23040/60000 (38%)]\tLoss: 99.430565\n",
"Train Epoch: 58 [24320/60000 (41%)]\tLoss: 101.626945\n",
"Train Epoch: 58 [25600/60000 (43%)]\tLoss: 101.861755\n",
"Train Epoch: 58 [26880/60000 (45%)]\tLoss: 99.634399\n",
"Train Epoch: 58 [28160/60000 (47%)]\tLoss: 101.042587\n",
"Train Epoch: 58 [29440/60000 (49%)]\tLoss: 104.549149\n",
"Train Epoch: 58 [30720/60000 (51%)]\tLoss: 99.671776\n",
"Train Epoch: 58 [32000/60000 (53%)]\tLoss: 99.849060\n",
"Train Epoch: 58 [33280/60000 (55%)]\tLoss: 101.608368\n",
"Train Epoch: 58 [34560/60000 (58%)]\tLoss: 101.880310\n",
"Train Epoch: 58 [35840/60000 (60%)]\tLoss: 100.619415\n",
"Train Epoch: 58 [37120/60000 (62%)]\tLoss: 104.174316\n",
"Train Epoch: 58 [38400/60000 (64%)]\tLoss: 104.198143\n",
"Train Epoch: 58 [39680/60000 (66%)]\tLoss: 100.313522\n",
"Train Epoch: 58 [40960/60000 (68%)]\tLoss: 102.669724\n",
"Train Epoch: 58 [42240/60000 (70%)]\tLoss: 94.112610\n",
"Train Epoch: 58 [43520/60000 (72%)]\tLoss: 102.198135\n",
"Train Epoch: 58 [44800/60000 (75%)]\tLoss: 101.573372\n",
"Train Epoch: 58 [46080/60000 (77%)]\tLoss: 101.903374\n",
"Train Epoch: 58 [47360/60000 (79%)]\tLoss: 99.441925\n",
"Train Epoch: 58 [48640/60000 (81%)]\tLoss: 104.247864\n",
"Train Epoch: 58 [49920/60000 (83%)]\tLoss: 102.672668\n",
"Train Epoch: 58 [51200/60000 (85%)]\tLoss: 100.666443\n",
"Train Epoch: 58 [52480/60000 (87%)]\tLoss: 102.177834\n",
"Train Epoch: 58 [53760/60000 (90%)]\tLoss: 101.683235\n",
"Train Epoch: 58 [55040/60000 (92%)]\tLoss: 103.654755\n",
"Train Epoch: 58 [56320/60000 (94%)]\tLoss: 104.208282\n",
"Train Epoch: 58 [57600/60000 (96%)]\tLoss: 101.844093\n",
"Train Epoch: 58 [58880/60000 (98%)]\tLoss: 101.436722\n",
"====> Epoch: 58 Average loss: 101.5903\n",
"====> Test set loss: 93.5208\n",
"Train Epoch: 59 [0/60000 (0%)]\tLoss: 104.459648\n",
"Train Epoch: 59 [1280/60000 (2%)]\tLoss: 100.073433\n",
"Train Epoch: 59 [2560/60000 (4%)]\tLoss: 103.557419\n",
"Train Epoch: 59 [3840/60000 (6%)]\tLoss: 102.554077\n",
"Train Epoch: 59 [5120/60000 (9%)]\tLoss: 99.933151\n",
"Train Epoch: 59 [6400/60000 (11%)]\tLoss: 99.952629\n",
"Train Epoch: 59 [7680/60000 (13%)]\tLoss: 98.979309\n",
"Train Epoch: 59 [8960/60000 (15%)]\tLoss: 103.641106\n",
"Train Epoch: 59 [10240/60000 (17%)]\tLoss: 103.413742\n",
"Train Epoch: 59 [11520/60000 (19%)]\tLoss: 99.393570\n",
"Train Epoch: 59 [12800/60000 (21%)]\tLoss: 100.502602\n",
"Train Epoch: 59 [14080/60000 (23%)]\tLoss: 100.429947\n",
"Train Epoch: 59 [15360/60000 (26%)]\tLoss: 97.210335\n",
"Train Epoch: 59 [16640/60000 (28%)]\tLoss: 102.189972\n",
"Train Epoch: 59 [17920/60000 (30%)]\tLoss: 103.472115\n",
"Train Epoch: 59 [19200/60000 (32%)]\tLoss: 99.934326\n",
"Train Epoch: 59 [20480/60000 (34%)]\tLoss: 101.304710\n",
"Train Epoch: 59 [21760/60000 (36%)]\tLoss: 98.133919\n",
"Train Epoch: 59 [23040/60000 (38%)]\tLoss: 103.658478\n",
"Train Epoch: 59 [24320/60000 (41%)]\tLoss: 100.096634\n",
"Train Epoch: 59 [25600/60000 (43%)]\tLoss: 101.517693\n",
"Train Epoch: 59 [26880/60000 (45%)]\tLoss: 102.455894\n",
"Train Epoch: 59 [28160/60000 (47%)]\tLoss: 100.716370\n",
"Train Epoch: 59 [29440/60000 (49%)]\tLoss: 105.555496\n",
"Train Epoch: 59 [30720/60000 (51%)]\tLoss: 100.071915\n",
"Train Epoch: 59 [32000/60000 (53%)]\tLoss: 99.878777\n",
"Train Epoch: 59 [33280/60000 (55%)]\tLoss: 103.215240\n",
"Train Epoch: 59 [34560/60000 (58%)]\tLoss: 97.060280\n",
"Train Epoch: 59 [35840/60000 (60%)]\tLoss: 102.747162\n",
"Train Epoch: 59 [37120/60000 (62%)]\tLoss: 103.259094\n",
"Train Epoch: 59 [38400/60000 (64%)]\tLoss: 99.569420\n",
"Train Epoch: 59 [39680/60000 (66%)]\tLoss: 99.122849\n",
"Train Epoch: 59 [40960/60000 (68%)]\tLoss: 101.533508\n",
"Train Epoch: 59 [42240/60000 (70%)]\tLoss: 104.154678\n",
"Train Epoch: 59 [43520/60000 (72%)]\tLoss: 105.248978\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 59 [44800/60000 (75%)]\tLoss: 105.093887\n",
"Train Epoch: 59 [46080/60000 (77%)]\tLoss: 100.741714\n",
"Train Epoch: 59 [47360/60000 (79%)]\tLoss: 100.446320\n",
"Train Epoch: 59 [48640/60000 (81%)]\tLoss: 98.651154\n",
"Train Epoch: 59 [49920/60000 (83%)]\tLoss: 102.370667\n",
"Train Epoch: 59 [51200/60000 (85%)]\tLoss: 102.180275\n",
"Train Epoch: 59 [52480/60000 (87%)]\tLoss: 99.222900\n",
"Train Epoch: 59 [53760/60000 (90%)]\tLoss: 99.856659\n",
"Train Epoch: 59 [55040/60000 (92%)]\tLoss: 102.559753\n",
"Train Epoch: 59 [56320/60000 (94%)]\tLoss: 99.654404\n",
"Train Epoch: 59 [57600/60000 (96%)]\tLoss: 103.587692\n",
"Train Epoch: 59 [58880/60000 (98%)]\tLoss: 104.624527\n",
"====> Epoch: 59 Average loss: 101.5515\n",
"====> Test set loss: 93.3580\n",
"Train Epoch: 60 [0/60000 (0%)]\tLoss: 99.788742\n",
"Train Epoch: 60 [1280/60000 (2%)]\tLoss: 102.410599\n",
"Train Epoch: 60 [2560/60000 (4%)]\tLoss: 102.700592\n",
"Train Epoch: 60 [3840/60000 (6%)]\tLoss: 98.495552\n",
"Train Epoch: 60 [5120/60000 (9%)]\tLoss: 98.975449\n",
"Train Epoch: 60 [6400/60000 (11%)]\tLoss: 104.183807\n",
"Train Epoch: 60 [7680/60000 (13%)]\tLoss: 100.442192\n",
"Train Epoch: 60 [8960/60000 (15%)]\tLoss: 99.999260\n",
"Train Epoch: 60 [10240/60000 (17%)]\tLoss: 106.082924\n",
"Train Epoch: 60 [11520/60000 (19%)]\tLoss: 98.347198\n",
"Train Epoch: 60 [12800/60000 (21%)]\tLoss: 99.836250\n",
"Train Epoch: 60 [14080/60000 (23%)]\tLoss: 102.656296\n",
"Train Epoch: 60 [15360/60000 (26%)]\tLoss: 101.790955\n",
"Train Epoch: 60 [16640/60000 (28%)]\tLoss: 102.687553\n",
"Train Epoch: 60 [17920/60000 (30%)]\tLoss: 100.594368\n",
"Train Epoch: 60 [19200/60000 (32%)]\tLoss: 103.690140\n",
"Train Epoch: 60 [20480/60000 (34%)]\tLoss: 100.859695\n",
"Train Epoch: 60 [21760/60000 (36%)]\tLoss: 102.957588\n",
"Train Epoch: 60 [23040/60000 (38%)]\tLoss: 103.758072\n",
"Train Epoch: 60 [24320/60000 (41%)]\tLoss: 100.182327\n",
"Train Epoch: 60 [25600/60000 (43%)]\tLoss: 100.473961\n",
"Train Epoch: 60 [26880/60000 (45%)]\tLoss: 103.678604\n",
"Train Epoch: 60 [28160/60000 (47%)]\tLoss: 101.035553\n",
"Train Epoch: 60 [29440/60000 (49%)]\tLoss: 105.546349\n",
"Train Epoch: 60 [30720/60000 (51%)]\tLoss: 102.170700\n",
"Train Epoch: 60 [32000/60000 (53%)]\tLoss: 99.421410\n",
"Train Epoch: 60 [33280/60000 (55%)]\tLoss: 103.843994\n",
"Train Epoch: 60 [34560/60000 (58%)]\tLoss: 103.745026\n",
"Train Epoch: 60 [35840/60000 (60%)]\tLoss: 102.927055\n",
"Train Epoch: 60 [37120/60000 (62%)]\tLoss: 105.183556\n",
"Train Epoch: 60 [38400/60000 (64%)]\tLoss: 100.373672\n",
"Train Epoch: 60 [39680/60000 (66%)]\tLoss: 104.323669\n",
"Train Epoch: 60 [40960/60000 (68%)]\tLoss: 104.143692\n",
"Train Epoch: 60 [42240/60000 (70%)]\tLoss: 99.296692\n",
"Train Epoch: 60 [43520/60000 (72%)]\tLoss: 96.610741\n",
"Train Epoch: 60 [44800/60000 (75%)]\tLoss: 103.198151\n",
"Train Epoch: 60 [46080/60000 (77%)]\tLoss: 103.088669\n",
"Train Epoch: 60 [47360/60000 (79%)]\tLoss: 101.937027\n",
"Train Epoch: 60 [48640/60000 (81%)]\tLoss: 102.460037\n",
"Train Epoch: 60 [49920/60000 (83%)]\tLoss: 99.766144\n",
"Train Epoch: 60 [51200/60000 (85%)]\tLoss: 104.419052\n",
"Train Epoch: 60 [52480/60000 (87%)]\tLoss: 100.799515\n",
"Train Epoch: 60 [53760/60000 (90%)]\tLoss: 104.805527\n",
"Train Epoch: 60 [55040/60000 (92%)]\tLoss: 105.258118\n",
"Train Epoch: 60 [56320/60000 (94%)]\tLoss: 106.515656\n",
"Train Epoch: 60 [57600/60000 (96%)]\tLoss: 101.580414\n",
"Train Epoch: 60 [58880/60000 (98%)]\tLoss: 101.108032\n",
"====> Epoch: 60 Average loss: 101.4765\n",
"====> Test set loss: 93.7378\n",
"Train Epoch: 61 [0/60000 (0%)]\tLoss: 102.522408\n",
"Train Epoch: 61 [1280/60000 (2%)]\tLoss: 105.542252\n",
"Train Epoch: 61 [2560/60000 (4%)]\tLoss: 103.600784\n",
"Train Epoch: 61 [3840/60000 (6%)]\tLoss: 99.436844\n",
"Train Epoch: 61 [5120/60000 (9%)]\tLoss: 103.698654\n",
"Train Epoch: 61 [6400/60000 (11%)]\tLoss: 102.284737\n",
"Train Epoch: 61 [7680/60000 (13%)]\tLoss: 100.225174\n",
"Train Epoch: 61 [8960/60000 (15%)]\tLoss: 101.126183\n",
"Train Epoch: 61 [10240/60000 (17%)]\tLoss: 98.126831\n",
"Train Epoch: 61 [11520/60000 (19%)]\tLoss: 102.866714\n",
"Train Epoch: 61 [12800/60000 (21%)]\tLoss: 101.871918\n",
"Train Epoch: 61 [14080/60000 (23%)]\tLoss: 99.623291\n",
"Train Epoch: 61 [15360/60000 (26%)]\tLoss: 104.647400\n",
"Train Epoch: 61 [16640/60000 (28%)]\tLoss: 104.356491\n",
"Train Epoch: 61 [17920/60000 (30%)]\tLoss: 104.762993\n",
"Train Epoch: 61 [19200/60000 (32%)]\tLoss: 100.516907\n",
"Train Epoch: 61 [20480/60000 (34%)]\tLoss: 104.335220\n",
"Train Epoch: 61 [21760/60000 (36%)]\tLoss: 102.802338\n",
"Train Epoch: 61 [23040/60000 (38%)]\tLoss: 102.997025\n",
"Train Epoch: 61 [24320/60000 (41%)]\tLoss: 98.412407\n",
"Train Epoch: 61 [25600/60000 (43%)]\tLoss: 98.455383\n",
"Train Epoch: 61 [26880/60000 (45%)]\tLoss: 100.721298\n",
"Train Epoch: 61 [28160/60000 (47%)]\tLoss: 104.010635\n",
"Train Epoch: 61 [29440/60000 (49%)]\tLoss: 100.783943\n",
"Train Epoch: 61 [30720/60000 (51%)]\tLoss: 100.388184\n",
"Train Epoch: 61 [32000/60000 (53%)]\tLoss: 99.406601\n",
"Train Epoch: 61 [33280/60000 (55%)]\tLoss: 102.126587\n",
"Train Epoch: 61 [34560/60000 (58%)]\tLoss: 101.333862\n",
"Train Epoch: 61 [35840/60000 (60%)]\tLoss: 96.982185\n",
"Train Epoch: 61 [37120/60000 (62%)]\tLoss: 101.876640\n",
"Train Epoch: 61 [38400/60000 (64%)]\tLoss: 101.641586\n",
"Train Epoch: 61 [39680/60000 (66%)]\tLoss: 104.289772\n",
"Train Epoch: 61 [40960/60000 (68%)]\tLoss: 101.040970\n",
"Train Epoch: 61 [42240/60000 (70%)]\tLoss: 100.007256\n",
"Train Epoch: 61 [43520/60000 (72%)]\tLoss: 98.383217\n",
"Train Epoch: 61 [44800/60000 (75%)]\tLoss: 101.389557\n",
"Train Epoch: 61 [46080/60000 (77%)]\tLoss: 102.418884\n",
"Train Epoch: 61 [47360/60000 (79%)]\tLoss: 99.498032\n",
"Train Epoch: 61 [48640/60000 (81%)]\tLoss: 102.222214\n",
"Train Epoch: 61 [49920/60000 (83%)]\tLoss: 101.990250\n",
"Train Epoch: 61 [51200/60000 (85%)]\tLoss: 101.833115\n",
"Train Epoch: 61 [52480/60000 (87%)]\tLoss: 104.806732\n",
"Train Epoch: 61 [53760/60000 (90%)]\tLoss: 101.676102\n",
"Train Epoch: 61 [55040/60000 (92%)]\tLoss: 104.420219\n",
"Train Epoch: 61 [56320/60000 (94%)]\tLoss: 103.043610\n",
"Train Epoch: 61 [57600/60000 (96%)]\tLoss: 101.533417\n",
"Train Epoch: 61 [58880/60000 (98%)]\tLoss: 102.148285\n",
"====> Epoch: 61 Average loss: 101.4996\n",
"====> Test set loss: 93.3937\n",
"Train Epoch: 62 [0/60000 (0%)]\tLoss: 104.404343\n",
"Train Epoch: 62 [1280/60000 (2%)]\tLoss: 103.350800\n",
"Train Epoch: 62 [2560/60000 (4%)]\tLoss: 100.221970\n",
"Train Epoch: 62 [3840/60000 (6%)]\tLoss: 99.937515\n",
"Train Epoch: 62 [5120/60000 (9%)]\tLoss: 103.192581\n",
"Train Epoch: 62 [6400/60000 (11%)]\tLoss: 101.754395\n",
"Train Epoch: 62 [7680/60000 (13%)]\tLoss: 100.776276\n",
"Train Epoch: 62 [8960/60000 (15%)]\tLoss: 100.738808\n",
"Train Epoch: 62 [10240/60000 (17%)]\tLoss: 99.102890\n",
"Train Epoch: 62 [11520/60000 (19%)]\tLoss: 103.561920\n",
"Train Epoch: 62 [12800/60000 (21%)]\tLoss: 103.108322\n",
"Train Epoch: 62 [14080/60000 (23%)]\tLoss: 101.266068\n",
"Train Epoch: 62 [15360/60000 (26%)]\tLoss: 100.162247\n",
"Train Epoch: 62 [16640/60000 (28%)]\tLoss: 103.127785\n",
"Train Epoch: 62 [17920/60000 (30%)]\tLoss: 101.438751\n",
"Train Epoch: 62 [19200/60000 (32%)]\tLoss: 104.648865\n",
"Train Epoch: 62 [20480/60000 (34%)]\tLoss: 101.165367\n",
"Train Epoch: 62 [21760/60000 (36%)]\tLoss: 104.219345\n",
"Train Epoch: 62 [23040/60000 (38%)]\tLoss: 102.092850\n",
"Train Epoch: 62 [24320/60000 (41%)]\tLoss: 102.957664\n",
"Train Epoch: 62 [25600/60000 (43%)]\tLoss: 100.178650\n",
"Train Epoch: 62 [26880/60000 (45%)]\tLoss: 103.764877\n",
"Train Epoch: 62 [28160/60000 (47%)]\tLoss: 101.006477\n",
"Train Epoch: 62 [29440/60000 (49%)]\tLoss: 100.966248\n",
"Train Epoch: 62 [30720/60000 (51%)]\tLoss: 98.611221\n",
"Train Epoch: 62 [32000/60000 (53%)]\tLoss: 103.923431\n",
"Train Epoch: 62 [33280/60000 (55%)]\tLoss: 99.051849\n",
"Train Epoch: 62 [34560/60000 (58%)]\tLoss: 104.184471\n",
"Train Epoch: 62 [35840/60000 (60%)]\tLoss: 101.414215\n",
"Train Epoch: 62 [37120/60000 (62%)]\tLoss: 102.157166\n",
"Train Epoch: 62 [38400/60000 (64%)]\tLoss: 102.448311\n",
"Train Epoch: 62 [39680/60000 (66%)]\tLoss: 99.673065\n",
"Train Epoch: 62 [40960/60000 (68%)]\tLoss: 104.349998\n",
"Train Epoch: 62 [42240/60000 (70%)]\tLoss: 101.243011\n",
"Train Epoch: 62 [43520/60000 (72%)]\tLoss: 101.974060\n",
"Train Epoch: 62 [44800/60000 (75%)]\tLoss: 99.371544\n",
"Train Epoch: 62 [46080/60000 (77%)]\tLoss: 102.409225\n",
"Train Epoch: 62 [47360/60000 (79%)]\tLoss: 98.053284\n",
"Train Epoch: 62 [48640/60000 (81%)]\tLoss: 102.551041\n",
"Train Epoch: 62 [49920/60000 (83%)]\tLoss: 100.834549\n",
"Train Epoch: 62 [51200/60000 (85%)]\tLoss: 98.321953\n",
"Train Epoch: 62 [52480/60000 (87%)]\tLoss: 101.807449\n",
"Train Epoch: 62 [53760/60000 (90%)]\tLoss: 101.496452\n",
"Train Epoch: 62 [55040/60000 (92%)]\tLoss: 99.199585\n",
"Train Epoch: 62 [56320/60000 (94%)]\tLoss: 99.056396\n",
"Train Epoch: 62 [57600/60000 (96%)]\tLoss: 101.766808\n",
"Train Epoch: 62 [58880/60000 (98%)]\tLoss: 102.040924\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Epoch: 62 Average loss: 101.4246\n",
"====> Test set loss: 93.2982\n",
"Train Epoch: 63 [0/60000 (0%)]\tLoss: 103.523773\n",
"Train Epoch: 63 [1280/60000 (2%)]\tLoss: 100.228767\n",
"Train Epoch: 63 [2560/60000 (4%)]\tLoss: 101.917595\n",
"Train Epoch: 63 [3840/60000 (6%)]\tLoss: 102.507416\n",
"Train Epoch: 63 [5120/60000 (9%)]\tLoss: 101.448700\n",
"Train Epoch: 63 [6400/60000 (11%)]\tLoss: 98.875259\n",
"Train Epoch: 63 [7680/60000 (13%)]\tLoss: 101.306534\n",
"Train Epoch: 63 [8960/60000 (15%)]\tLoss: 97.858894\n",
"Train Epoch: 63 [10240/60000 (17%)]\tLoss: 104.608147\n",
"Train Epoch: 63 [11520/60000 (19%)]\tLoss: 102.310364\n",
"Train Epoch: 63 [12800/60000 (21%)]\tLoss: 99.503387\n",
"Train Epoch: 63 [14080/60000 (23%)]\tLoss: 100.578766\n",
"Train Epoch: 63 [15360/60000 (26%)]\tLoss: 103.231613\n",
"Train Epoch: 63 [16640/60000 (28%)]\tLoss: 99.188576\n",
"Train Epoch: 63 [17920/60000 (30%)]\tLoss: 101.776428\n",
"Train Epoch: 63 [19200/60000 (32%)]\tLoss: 99.686844\n",
"Train Epoch: 63 [20480/60000 (34%)]\tLoss: 101.501358\n",
"Train Epoch: 63 [21760/60000 (36%)]\tLoss: 99.425110\n",
"Train Epoch: 63 [23040/60000 (38%)]\tLoss: 98.367744\n",
"Train Epoch: 63 [24320/60000 (41%)]\tLoss: 98.618057\n",
"Train Epoch: 63 [25600/60000 (43%)]\tLoss: 100.399437\n",
"Train Epoch: 63 [26880/60000 (45%)]\tLoss: 101.749054\n",
"Train Epoch: 63 [28160/60000 (47%)]\tLoss: 96.402603\n",
"Train Epoch: 63 [29440/60000 (49%)]\tLoss: 100.930504\n",
"Train Epoch: 63 [30720/60000 (51%)]\tLoss: 99.699005\n",
"Train Epoch: 63 [32000/60000 (53%)]\tLoss: 101.982468\n",
"Train Epoch: 63 [33280/60000 (55%)]\tLoss: 100.170372\n",
"Train Epoch: 63 [34560/60000 (58%)]\tLoss: 99.087616\n",
"Train Epoch: 63 [35840/60000 (60%)]\tLoss: 99.643784\n",
"Train Epoch: 63 [37120/60000 (62%)]\tLoss: 104.800781\n",
"Train Epoch: 63 [38400/60000 (64%)]\tLoss: 103.179749\n",
"Train Epoch: 63 [39680/60000 (66%)]\tLoss: 101.556656\n",
"Train Epoch: 63 [40960/60000 (68%)]\tLoss: 102.211754\n",
"Train Epoch: 63 [42240/60000 (70%)]\tLoss: 101.058228\n",
"Train Epoch: 63 [43520/60000 (72%)]\tLoss: 102.665527\n",
"Train Epoch: 63 [44800/60000 (75%)]\tLoss: 100.990051\n",
"Train Epoch: 63 [46080/60000 (77%)]\tLoss: 100.465988\n",
"Train Epoch: 63 [47360/60000 (79%)]\tLoss: 101.299721\n",
"Train Epoch: 63 [48640/60000 (81%)]\tLoss: 102.708557\n",
"Train Epoch: 63 [49920/60000 (83%)]\tLoss: 100.673645\n",
"Train Epoch: 63 [51200/60000 (85%)]\tLoss: 99.917732\n",
"Train Epoch: 63 [52480/60000 (87%)]\tLoss: 102.831703\n",
"Train Epoch: 63 [53760/60000 (90%)]\tLoss: 102.677452\n",
"Train Epoch: 63 [55040/60000 (92%)]\tLoss: 104.900688\n",
"Train Epoch: 63 [56320/60000 (94%)]\tLoss: 102.204140\n",
"Train Epoch: 63 [57600/60000 (96%)]\tLoss: 101.345825\n",
"Train Epoch: 63 [58880/60000 (98%)]\tLoss: 100.327507\n",
"====> Epoch: 63 Average loss: 101.4201\n",
"====> Test set loss: 92.6567\n",
"Train Epoch: 64 [0/60000 (0%)]\tLoss: 103.938568\n",
"Train Epoch: 64 [1280/60000 (2%)]\tLoss: 101.012299\n",
"Train Epoch: 64 [2560/60000 (4%)]\tLoss: 96.032974\n",
"Train Epoch: 64 [3840/60000 (6%)]\tLoss: 100.668312\n",
"Train Epoch: 64 [5120/60000 (9%)]\tLoss: 104.120331\n",
"Train Epoch: 64 [6400/60000 (11%)]\tLoss: 100.252258\n",
"Train Epoch: 64 [7680/60000 (13%)]\tLoss: 104.173004\n",
"Train Epoch: 64 [8960/60000 (15%)]\tLoss: 100.730530\n",
"Train Epoch: 64 [10240/60000 (17%)]\tLoss: 102.902214\n",
"Train Epoch: 64 [11520/60000 (19%)]\tLoss: 100.210945\n",
"Train Epoch: 64 [12800/60000 (21%)]\tLoss: 99.497726\n",
"Train Epoch: 64 [14080/60000 (23%)]\tLoss: 101.641396\n",
"Train Epoch: 64 [15360/60000 (26%)]\tLoss: 101.413742\n",
"Train Epoch: 64 [16640/60000 (28%)]\tLoss: 96.650528\n",
"Train Epoch: 64 [17920/60000 (30%)]\tLoss: 99.538841\n",
"Train Epoch: 64 [19200/60000 (32%)]\tLoss: 101.086838\n",
"Train Epoch: 64 [20480/60000 (34%)]\tLoss: 104.833893\n",
"Train Epoch: 64 [21760/60000 (36%)]\tLoss: 105.013092\n",
"Train Epoch: 64 [23040/60000 (38%)]\tLoss: 100.677002\n",
"Train Epoch: 64 [24320/60000 (41%)]\tLoss: 102.210373\n",
"Train Epoch: 64 [25600/60000 (43%)]\tLoss: 97.700638\n",
"Train Epoch: 64 [26880/60000 (45%)]\tLoss: 99.372849\n",
"Train Epoch: 64 [28160/60000 (47%)]\tLoss: 102.594086\n",
"Train Epoch: 64 [29440/60000 (49%)]\tLoss: 102.686707\n",
"Train Epoch: 64 [30720/60000 (51%)]\tLoss: 101.555977\n",
"Train Epoch: 64 [32000/60000 (53%)]\tLoss: 103.830940\n",
"Train Epoch: 64 [33280/60000 (55%)]\tLoss: 101.763947\n",
"Train Epoch: 64 [34560/60000 (58%)]\tLoss: 103.217903\n",
"Train Epoch: 64 [35840/60000 (60%)]\tLoss: 101.583801\n",
"Train Epoch: 64 [37120/60000 (62%)]\tLoss: 102.357758\n",
"Train Epoch: 64 [38400/60000 (64%)]\tLoss: 100.414635\n",
"Train Epoch: 64 [39680/60000 (66%)]\tLoss: 101.016449\n",
"Train Epoch: 64 [40960/60000 (68%)]\tLoss: 99.926529\n",
"Train Epoch: 64 [42240/60000 (70%)]\tLoss: 101.177917\n",
"Train Epoch: 64 [43520/60000 (72%)]\tLoss: 101.128891\n",
"Train Epoch: 64 [44800/60000 (75%)]\tLoss: 101.478722\n",
"Train Epoch: 64 [46080/60000 (77%)]\tLoss: 105.379822\n",
"Train Epoch: 64 [47360/60000 (79%)]\tLoss: 108.160484\n",
"Train Epoch: 64 [48640/60000 (81%)]\tLoss: 101.565308\n",
"Train Epoch: 64 [49920/60000 (83%)]\tLoss: 104.087067\n",
"Train Epoch: 64 [51200/60000 (85%)]\tLoss: 97.475449\n",
"Train Epoch: 64 [52480/60000 (87%)]\tLoss: 102.933823\n",
"Train Epoch: 64 [53760/60000 (90%)]\tLoss: 99.632645\n",
"Train Epoch: 64 [55040/60000 (92%)]\tLoss: 100.339249\n",
"Train Epoch: 64 [56320/60000 (94%)]\tLoss: 99.382881\n",
"Train Epoch: 64 [57600/60000 (96%)]\tLoss: 101.060471\n",
"Train Epoch: 64 [58880/60000 (98%)]\tLoss: 96.679611\n",
"====> Epoch: 64 Average loss: 101.3731\n",
"====> Test set loss: 93.0224\n",
"Train Epoch: 65 [0/60000 (0%)]\tLoss: 99.690483\n",
"Train Epoch: 65 [1280/60000 (2%)]\tLoss: 101.798874\n",
"Train Epoch: 65 [2560/60000 (4%)]\tLoss: 100.258469\n",
"Train Epoch: 65 [3840/60000 (6%)]\tLoss: 97.700439\n",
"Train Epoch: 65 [5120/60000 (9%)]\tLoss: 102.319992\n",
"Train Epoch: 65 [6400/60000 (11%)]\tLoss: 100.466675\n",
"Train Epoch: 65 [7680/60000 (13%)]\tLoss: 100.281525\n",
"Train Epoch: 65 [8960/60000 (15%)]\tLoss: 102.441895\n",
"Train Epoch: 65 [10240/60000 (17%)]\tLoss: 99.841949\n",
"Train Epoch: 65 [11520/60000 (19%)]\tLoss: 101.983871\n",
"Train Epoch: 65 [12800/60000 (21%)]\tLoss: 102.195221\n",
"Train Epoch: 65 [14080/60000 (23%)]\tLoss: 102.295120\n",
"Train Epoch: 65 [15360/60000 (26%)]\tLoss: 103.022202\n",
"Train Epoch: 65 [16640/60000 (28%)]\tLoss: 99.011314\n",
"Train Epoch: 65 [17920/60000 (30%)]\tLoss: 99.534927\n",
"Train Epoch: 65 [19200/60000 (32%)]\tLoss: 101.396950\n",
"Train Epoch: 65 [20480/60000 (34%)]\tLoss: 100.544479\n",
"Train Epoch: 65 [21760/60000 (36%)]\tLoss: 104.546356\n",
"Train Epoch: 65 [23040/60000 (38%)]\tLoss: 100.021332\n",
"Train Epoch: 65 [24320/60000 (41%)]\tLoss: 99.140999\n",
"Train Epoch: 65 [25600/60000 (43%)]\tLoss: 102.296455\n",
"Train Epoch: 65 [26880/60000 (45%)]\tLoss: 105.416855\n",
"Train Epoch: 65 [28160/60000 (47%)]\tLoss: 101.713608\n",
"Train Epoch: 65 [29440/60000 (49%)]\tLoss: 101.610199\n",
"Train Epoch: 65 [30720/60000 (51%)]\tLoss: 99.594505\n",
"Train Epoch: 65 [32000/60000 (53%)]\tLoss: 95.652832\n",
"Train Epoch: 65 [33280/60000 (55%)]\tLoss: 103.425034\n",
"Train Epoch: 65 [34560/60000 (58%)]\tLoss: 103.881973\n",
"Train Epoch: 65 [35840/60000 (60%)]\tLoss: 104.401718\n",
"Train Epoch: 65 [37120/60000 (62%)]\tLoss: 102.844437\n",
"Train Epoch: 65 [38400/60000 (64%)]\tLoss: 101.583084\n",
"Train Epoch: 65 [39680/60000 (66%)]\tLoss: 103.498444\n",
"Train Epoch: 65 [40960/60000 (68%)]\tLoss: 103.443237\n",
"Train Epoch: 65 [42240/60000 (70%)]\tLoss: 101.097374\n",
"Train Epoch: 65 [43520/60000 (72%)]\tLoss: 101.470108\n",
"Train Epoch: 65 [44800/60000 (75%)]\tLoss: 99.577812\n",
"Train Epoch: 65 [46080/60000 (77%)]\tLoss: 101.024612\n",
"Train Epoch: 65 [47360/60000 (79%)]\tLoss: 102.496376\n",
"Train Epoch: 65 [48640/60000 (81%)]\tLoss: 102.003738\n",
"Train Epoch: 65 [49920/60000 (83%)]\tLoss: 99.492783\n",
"Train Epoch: 65 [51200/60000 (85%)]\tLoss: 101.775871\n",
"Train Epoch: 65 [52480/60000 (87%)]\tLoss: 101.570190\n",
"Train Epoch: 65 [53760/60000 (90%)]\tLoss: 104.809227\n",
"Train Epoch: 65 [55040/60000 (92%)]\tLoss: 103.285049\n",
"Train Epoch: 65 [56320/60000 (94%)]\tLoss: 102.392624\n",
"Train Epoch: 65 [57600/60000 (96%)]\tLoss: 99.226746\n",
"Train Epoch: 65 [58880/60000 (98%)]\tLoss: 94.970909\n",
"====> Epoch: 65 Average loss: 101.3547\n",
"====> Test set loss: 92.9591\n",
"Train Epoch: 66 [0/60000 (0%)]\tLoss: 100.993698\n",
"Train Epoch: 66 [1280/60000 (2%)]\tLoss: 101.857628\n",
"Train Epoch: 66 [2560/60000 (4%)]\tLoss: 104.826462\n",
"Train Epoch: 66 [3840/60000 (6%)]\tLoss: 101.029846\n",
"Train Epoch: 66 [5120/60000 (9%)]\tLoss: 99.560020\n",
"Train Epoch: 66 [6400/60000 (11%)]\tLoss: 97.627045\n",
"Train Epoch: 66 [7680/60000 (13%)]\tLoss: 100.854233\n",
"Train Epoch: 66 [8960/60000 (15%)]\tLoss: 103.305397\n",
"Train Epoch: 66 [10240/60000 (17%)]\tLoss: 103.662071\n",
"Train Epoch: 66 [11520/60000 (19%)]\tLoss: 97.601059\n",
"Train Epoch: 66 [12800/60000 (21%)]\tLoss: 99.458313\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 66 [14080/60000 (23%)]\tLoss: 101.112923\n",
"Train Epoch: 66 [15360/60000 (26%)]\tLoss: 100.359497\n",
"Train Epoch: 66 [16640/60000 (28%)]\tLoss: 98.416443\n",
"Train Epoch: 66 [17920/60000 (30%)]\tLoss: 101.590240\n",
"Train Epoch: 66 [19200/60000 (32%)]\tLoss: 106.624893\n",
"Train Epoch: 66 [20480/60000 (34%)]\tLoss: 101.295158\n",
"Train Epoch: 66 [21760/60000 (36%)]\tLoss: 100.071381\n",
"Train Epoch: 66 [23040/60000 (38%)]\tLoss: 102.769730\n",
"Train Epoch: 66 [24320/60000 (41%)]\tLoss: 105.544662\n",
"Train Epoch: 66 [25600/60000 (43%)]\tLoss: 100.654739\n",
"Train Epoch: 66 [26880/60000 (45%)]\tLoss: 98.758560\n",
"Train Epoch: 66 [28160/60000 (47%)]\tLoss: 103.460800\n",
"Train Epoch: 66 [29440/60000 (49%)]\tLoss: 105.003899\n",
"Train Epoch: 66 [30720/60000 (51%)]\tLoss: 101.241798\n",
"Train Epoch: 66 [32000/60000 (53%)]\tLoss: 101.676163\n",
"Train Epoch: 66 [33280/60000 (55%)]\tLoss: 97.908829\n",
"Train Epoch: 66 [34560/60000 (58%)]\tLoss: 103.352478\n",
"Train Epoch: 66 [35840/60000 (60%)]\tLoss: 100.988457\n",
"Train Epoch: 66 [37120/60000 (62%)]\tLoss: 98.237526\n",
"Train Epoch: 66 [38400/60000 (64%)]\tLoss: 103.748955\n",
"Train Epoch: 66 [39680/60000 (66%)]\tLoss: 103.206947\n",
"Train Epoch: 66 [40960/60000 (68%)]\tLoss: 99.546097\n",
"Train Epoch: 66 [42240/60000 (70%)]\tLoss: 100.199806\n",
"Train Epoch: 66 [43520/60000 (72%)]\tLoss: 99.319397\n",
"Train Epoch: 66 [44800/60000 (75%)]\tLoss: 103.619339\n",
"Train Epoch: 66 [46080/60000 (77%)]\tLoss: 101.532990\n",
"Train Epoch: 66 [47360/60000 (79%)]\tLoss: 102.901947\n",
"Train Epoch: 66 [48640/60000 (81%)]\tLoss: 103.809822\n",
"Train Epoch: 66 [49920/60000 (83%)]\tLoss: 103.241852\n",
"Train Epoch: 66 [51200/60000 (85%)]\tLoss: 100.363174\n",
"Train Epoch: 66 [52480/60000 (87%)]\tLoss: 101.415123\n",
"Train Epoch: 66 [53760/60000 (90%)]\tLoss: 100.151810\n",
"Train Epoch: 66 [55040/60000 (92%)]\tLoss: 102.310341\n",
"Train Epoch: 66 [56320/60000 (94%)]\tLoss: 97.782196\n",
"Train Epoch: 66 [57600/60000 (96%)]\tLoss: 100.500916\n",
"Train Epoch: 66 [58880/60000 (98%)]\tLoss: 101.611237\n",
"====> Epoch: 66 Average loss: 101.3356\n",
"====> Test set loss: 93.4110\n",
"Train Epoch: 67 [0/60000 (0%)]\tLoss: 98.083824\n",
"Train Epoch: 67 [1280/60000 (2%)]\tLoss: 101.598663\n",
"Train Epoch: 67 [2560/60000 (4%)]\tLoss: 98.490868\n",
"Train Epoch: 67 [3840/60000 (6%)]\tLoss: 98.223206\n",
"Train Epoch: 67 [5120/60000 (9%)]\tLoss: 100.069695\n",
"Train Epoch: 67 [6400/60000 (11%)]\tLoss: 101.143700\n",
"Train Epoch: 67 [7680/60000 (13%)]\tLoss: 103.160408\n",
"Train Epoch: 67 [8960/60000 (15%)]\tLoss: 100.735916\n",
"Train Epoch: 67 [10240/60000 (17%)]\tLoss: 103.686661\n",
"Train Epoch: 67 [11520/60000 (19%)]\tLoss: 98.419815\n",
"Train Epoch: 67 [12800/60000 (21%)]\tLoss: 98.213211\n",
"Train Epoch: 67 [14080/60000 (23%)]\tLoss: 97.211174\n",
"Train Epoch: 67 [15360/60000 (26%)]\tLoss: 102.573883\n",
"Train Epoch: 67 [16640/60000 (28%)]\tLoss: 99.725639\n",
"Train Epoch: 67 [17920/60000 (30%)]\tLoss: 96.505440\n",
"Train Epoch: 67 [19200/60000 (32%)]\tLoss: 99.680305\n",
"Train Epoch: 67 [20480/60000 (34%)]\tLoss: 101.827789\n",
"Train Epoch: 67 [21760/60000 (36%)]\tLoss: 99.726044\n",
"Train Epoch: 67 [23040/60000 (38%)]\tLoss: 101.804916\n",
"Train Epoch: 67 [24320/60000 (41%)]\tLoss: 98.932426\n",
"Train Epoch: 67 [25600/60000 (43%)]\tLoss: 98.862724\n",
"Train Epoch: 67 [26880/60000 (45%)]\tLoss: 102.468430\n",
"Train Epoch: 67 [28160/60000 (47%)]\tLoss: 99.815994\n",
"Train Epoch: 67 [29440/60000 (49%)]\tLoss: 100.990784\n",
"Train Epoch: 67 [30720/60000 (51%)]\tLoss: 101.586052\n",
"Train Epoch: 67 [32000/60000 (53%)]\tLoss: 100.715500\n",
"Train Epoch: 67 [33280/60000 (55%)]\tLoss: 101.397110\n",
"Train Epoch: 67 [34560/60000 (58%)]\tLoss: 103.268631\n",
"Train Epoch: 67 [35840/60000 (60%)]\tLoss: 99.849403\n",
"Train Epoch: 67 [37120/60000 (62%)]\tLoss: 102.352997\n",
"Train Epoch: 67 [38400/60000 (64%)]\tLoss: 101.692932\n",
"Train Epoch: 67 [39680/60000 (66%)]\tLoss: 98.709244\n",
"Train Epoch: 67 [40960/60000 (68%)]\tLoss: 101.857231\n",
"Train Epoch: 67 [42240/60000 (70%)]\tLoss: 99.150574\n",
"Train Epoch: 67 [43520/60000 (72%)]\tLoss: 102.501099\n",
"Train Epoch: 67 [44800/60000 (75%)]\tLoss: 99.081741\n",
"Train Epoch: 67 [46080/60000 (77%)]\tLoss: 101.135742\n",
"Train Epoch: 67 [47360/60000 (79%)]\tLoss: 99.744202\n",
"Train Epoch: 67 [48640/60000 (81%)]\tLoss: 103.110466\n",
"Train Epoch: 67 [49920/60000 (83%)]\tLoss: 102.979370\n",
"Train Epoch: 67 [51200/60000 (85%)]\tLoss: 101.336586\n",
"Train Epoch: 67 [52480/60000 (87%)]\tLoss: 96.868683\n",
"Train Epoch: 67 [53760/60000 (90%)]\tLoss: 101.501930\n",
"Train Epoch: 67 [55040/60000 (92%)]\tLoss: 102.477577\n",
"Train Epoch: 67 [56320/60000 (94%)]\tLoss: 101.331223\n",
"Train Epoch: 67 [57600/60000 (96%)]\tLoss: 98.000458\n",
"Train Epoch: 67 [58880/60000 (98%)]\tLoss: 102.349243\n",
"====> Epoch: 67 Average loss: 101.3099\n",
"====> Test set loss: 93.3455\n",
"Train Epoch: 68 [0/60000 (0%)]\tLoss: 100.292847\n",
"Train Epoch: 68 [1280/60000 (2%)]\tLoss: 98.906059\n",
"Train Epoch: 68 [2560/60000 (4%)]\tLoss: 99.268524\n",
"Train Epoch: 68 [3840/60000 (6%)]\tLoss: 102.095230\n",
"Train Epoch: 68 [5120/60000 (9%)]\tLoss: 103.952530\n",
"Train Epoch: 68 [6400/60000 (11%)]\tLoss: 103.493546\n",
"Train Epoch: 68 [7680/60000 (13%)]\tLoss: 99.286270\n",
"Train Epoch: 68 [8960/60000 (15%)]\tLoss: 102.410324\n",
"Train Epoch: 68 [10240/60000 (17%)]\tLoss: 98.094780\n",
"Train Epoch: 68 [11520/60000 (19%)]\tLoss: 99.397079\n",
"Train Epoch: 68 [12800/60000 (21%)]\tLoss: 98.624153\n",
"Train Epoch: 68 [14080/60000 (23%)]\tLoss: 101.164978\n",
"Train Epoch: 68 [15360/60000 (26%)]\tLoss: 102.537193\n",
"Train Epoch: 68 [16640/60000 (28%)]\tLoss: 97.410255\n",
"Train Epoch: 68 [17920/60000 (30%)]\tLoss: 102.463043\n",
"Train Epoch: 68 [19200/60000 (32%)]\tLoss: 100.343185\n",
"Train Epoch: 68 [20480/60000 (34%)]\tLoss: 102.903198\n",
"Train Epoch: 68 [21760/60000 (36%)]\tLoss: 101.690742\n",
"Train Epoch: 68 [23040/60000 (38%)]\tLoss: 102.057259\n",
"Train Epoch: 68 [24320/60000 (41%)]\tLoss: 103.976883\n",
"Train Epoch: 68 [25600/60000 (43%)]\tLoss: 99.703308\n",
"Train Epoch: 68 [26880/60000 (45%)]\tLoss: 100.908379\n",
"Train Epoch: 68 [28160/60000 (47%)]\tLoss: 99.819443\n",
"Train Epoch: 68 [29440/60000 (49%)]\tLoss: 101.540825\n",
"Train Epoch: 68 [30720/60000 (51%)]\tLoss: 99.236877\n",
"Train Epoch: 68 [32000/60000 (53%)]\tLoss: 100.879112\n",
"Train Epoch: 68 [33280/60000 (55%)]\tLoss: 100.460350\n",
"Train Epoch: 68 [34560/60000 (58%)]\tLoss: 100.746216\n",
"Train Epoch: 68 [35840/60000 (60%)]\tLoss: 102.880379\n",
"Train Epoch: 68 [37120/60000 (62%)]\tLoss: 102.180443\n",
"Train Epoch: 68 [38400/60000 (64%)]\tLoss: 104.153885\n",
"Train Epoch: 68 [39680/60000 (66%)]\tLoss: 106.831940\n",
"Train Epoch: 68 [40960/60000 (68%)]\tLoss: 101.942276\n",
"Train Epoch: 68 [42240/60000 (70%)]\tLoss: 100.439621\n",
"Train Epoch: 68 [43520/60000 (72%)]\tLoss: 96.612457\n",
"Train Epoch: 68 [44800/60000 (75%)]\tLoss: 99.813515\n",
"Train Epoch: 68 [46080/60000 (77%)]\tLoss: 101.585220\n",
"Train Epoch: 68 [47360/60000 (79%)]\tLoss: 101.430862\n",
"Train Epoch: 68 [48640/60000 (81%)]\tLoss: 101.435272\n",
"Train Epoch: 68 [49920/60000 (83%)]\tLoss: 100.593765\n",
"Train Epoch: 68 [51200/60000 (85%)]\tLoss: 100.355408\n",
"Train Epoch: 68 [52480/60000 (87%)]\tLoss: 102.008926\n",
"Train Epoch: 68 [53760/60000 (90%)]\tLoss: 104.914833\n",
"Train Epoch: 68 [55040/60000 (92%)]\tLoss: 97.544205\n",
"Train Epoch: 68 [56320/60000 (94%)]\tLoss: 102.402588\n",
"Train Epoch: 68 [57600/60000 (96%)]\tLoss: 100.017990\n",
"Train Epoch: 68 [58880/60000 (98%)]\tLoss: 101.712738\n",
"====> Epoch: 68 Average loss: 101.2924\n",
"====> Test set loss: 93.4971\n",
"Train Epoch: 69 [0/60000 (0%)]\tLoss: 102.471771\n",
"Train Epoch: 69 [1280/60000 (2%)]\tLoss: 99.589767\n",
"Train Epoch: 69 [2560/60000 (4%)]\tLoss: 101.457176\n",
"Train Epoch: 69 [3840/60000 (6%)]\tLoss: 102.824562\n",
"Train Epoch: 69 [5120/60000 (9%)]\tLoss: 100.624985\n",
"Train Epoch: 69 [6400/60000 (11%)]\tLoss: 98.630882\n",
"Train Epoch: 69 [7680/60000 (13%)]\tLoss: 104.239105\n",
"Train Epoch: 69 [8960/60000 (15%)]\tLoss: 102.597084\n",
"Train Epoch: 69 [10240/60000 (17%)]\tLoss: 100.964272\n",
"Train Epoch: 69 [11520/60000 (19%)]\tLoss: 103.610153\n",
"Train Epoch: 69 [12800/60000 (21%)]\tLoss: 102.333138\n",
"Train Epoch: 69 [14080/60000 (23%)]\tLoss: 101.768990\n",
"Train Epoch: 69 [15360/60000 (26%)]\tLoss: 100.382004\n",
"Train Epoch: 69 [16640/60000 (28%)]\tLoss: 101.062271\n",
"Train Epoch: 69 [17920/60000 (30%)]\tLoss: 101.007629\n",
"Train Epoch: 69 [19200/60000 (32%)]\tLoss: 102.341553\n",
"Train Epoch: 69 [20480/60000 (34%)]\tLoss: 99.631287\n",
"Train Epoch: 69 [21760/60000 (36%)]\tLoss: 101.954163\n",
"Train Epoch: 69 [23040/60000 (38%)]\tLoss: 104.072296\n",
"Train Epoch: 69 [24320/60000 (41%)]\tLoss: 103.040131\n",
"Train Epoch: 69 [25600/60000 (43%)]\tLoss: 98.572418\n",
"Train Epoch: 69 [26880/60000 (45%)]\tLoss: 99.403511\n",
"Train Epoch: 69 [28160/60000 (47%)]\tLoss: 102.232620\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 69 [29440/60000 (49%)]\tLoss: 99.829041\n",
"Train Epoch: 69 [30720/60000 (51%)]\tLoss: 102.932106\n",
"Train Epoch: 69 [32000/60000 (53%)]\tLoss: 105.612831\n",
"Train Epoch: 69 [33280/60000 (55%)]\tLoss: 103.286652\n",
"Train Epoch: 69 [34560/60000 (58%)]\tLoss: 100.611908\n",
"Train Epoch: 69 [35840/60000 (60%)]\tLoss: 103.237846\n",
"Train Epoch: 69 [37120/60000 (62%)]\tLoss: 99.049286\n",
"Train Epoch: 69 [38400/60000 (64%)]\tLoss: 98.677002\n",
"Train Epoch: 69 [39680/60000 (66%)]\tLoss: 101.679031\n",
"Train Epoch: 69 [40960/60000 (68%)]\tLoss: 104.023941\n",
"Train Epoch: 69 [42240/60000 (70%)]\tLoss: 101.617035\n",
"Train Epoch: 69 [43520/60000 (72%)]\tLoss: 101.502991\n",
"Train Epoch: 69 [44800/60000 (75%)]\tLoss: 103.118210\n",
"Train Epoch: 69 [46080/60000 (77%)]\tLoss: 99.838409\n",
"Train Epoch: 69 [47360/60000 (79%)]\tLoss: 103.742355\n",
"Train Epoch: 69 [48640/60000 (81%)]\tLoss: 100.269356\n",
"Train Epoch: 69 [49920/60000 (83%)]\tLoss: 101.754570\n",
"Train Epoch: 69 [51200/60000 (85%)]\tLoss: 101.658424\n",
"Train Epoch: 69 [52480/60000 (87%)]\tLoss: 99.888817\n",
"Train Epoch: 69 [53760/60000 (90%)]\tLoss: 101.191399\n",
"Train Epoch: 69 [55040/60000 (92%)]\tLoss: 99.544418\n",
"Train Epoch: 69 [56320/60000 (94%)]\tLoss: 100.481079\n",
"Train Epoch: 69 [57600/60000 (96%)]\tLoss: 99.385117\n",
"Train Epoch: 69 [58880/60000 (98%)]\tLoss: 99.067360\n",
"====> Epoch: 69 Average loss: 101.2464\n",
"====> Test set loss: 92.7594\n",
"Train Epoch: 70 [0/60000 (0%)]\tLoss: 101.174141\n",
"Train Epoch: 70 [1280/60000 (2%)]\tLoss: 99.782478\n",
"Train Epoch: 70 [2560/60000 (4%)]\tLoss: 100.590714\n",
"Train Epoch: 70 [3840/60000 (6%)]\tLoss: 97.628471\n",
"Train Epoch: 70 [5120/60000 (9%)]\tLoss: 103.798744\n",
"Train Epoch: 70 [6400/60000 (11%)]\tLoss: 102.483757\n",
"Train Epoch: 70 [7680/60000 (13%)]\tLoss: 98.096291\n",
"Train Epoch: 70 [8960/60000 (15%)]\tLoss: 99.514053\n",
"Train Epoch: 70 [10240/60000 (17%)]\tLoss: 103.411423\n",
"Train Epoch: 70 [11520/60000 (19%)]\tLoss: 102.056274\n",
"Train Epoch: 70 [12800/60000 (21%)]\tLoss: 99.306549\n",
"Train Epoch: 70 [14080/60000 (23%)]\tLoss: 100.056396\n",
"Train Epoch: 70 [15360/60000 (26%)]\tLoss: 102.171463\n",
"Train Epoch: 70 [16640/60000 (28%)]\tLoss: 101.905090\n",
"Train Epoch: 70 [17920/60000 (30%)]\tLoss: 101.711670\n",
"Train Epoch: 70 [19200/60000 (32%)]\tLoss: 96.045959\n",
"Train Epoch: 70 [20480/60000 (34%)]\tLoss: 95.675529\n",
"Train Epoch: 70 [21760/60000 (36%)]\tLoss: 102.747322\n",
"Train Epoch: 70 [23040/60000 (38%)]\tLoss: 100.710045\n",
"Train Epoch: 70 [24320/60000 (41%)]\tLoss: 100.623398\n",
"Train Epoch: 70 [25600/60000 (43%)]\tLoss: 105.357071\n",
"Train Epoch: 70 [26880/60000 (45%)]\tLoss: 100.207382\n",
"Train Epoch: 70 [28160/60000 (47%)]\tLoss: 104.003525\n",
"Train Epoch: 70 [29440/60000 (49%)]\tLoss: 103.942169\n",
"Train Epoch: 70 [30720/60000 (51%)]\tLoss: 100.289932\n",
"Train Epoch: 70 [32000/60000 (53%)]\tLoss: 101.177765\n",
"Train Epoch: 70 [33280/60000 (55%)]\tLoss: 103.444977\n",
"Train Epoch: 70 [34560/60000 (58%)]\tLoss: 99.238297\n",
"Train Epoch: 70 [35840/60000 (60%)]\tLoss: 102.708649\n",
"Train Epoch: 70 [37120/60000 (62%)]\tLoss: 103.435104\n",
"Train Epoch: 70 [38400/60000 (64%)]\tLoss: 103.817856\n",
"Train Epoch: 70 [39680/60000 (66%)]\tLoss: 100.729057\n",
"Train Epoch: 70 [40960/60000 (68%)]\tLoss: 98.240158\n",
"Train Epoch: 70 [42240/60000 (70%)]\tLoss: 101.703598\n",
"Train Epoch: 70 [43520/60000 (72%)]\tLoss: 101.486992\n",
"Train Epoch: 70 [44800/60000 (75%)]\tLoss: 100.088875\n",
"Train Epoch: 70 [46080/60000 (77%)]\tLoss: 102.478989\n",
"Train Epoch: 70 [47360/60000 (79%)]\tLoss: 101.433792\n",
"Train Epoch: 70 [48640/60000 (81%)]\tLoss: 98.343582\n",
"Train Epoch: 70 [49920/60000 (83%)]\tLoss: 104.909882\n",
"Train Epoch: 70 [51200/60000 (85%)]\tLoss: 102.985443\n",
"Train Epoch: 70 [52480/60000 (87%)]\tLoss: 101.712006\n",
"Train Epoch: 70 [53760/60000 (90%)]\tLoss: 104.590233\n",
"Train Epoch: 70 [55040/60000 (92%)]\tLoss: 103.366447\n",
"Train Epoch: 70 [56320/60000 (94%)]\tLoss: 100.766953\n",
"Train Epoch: 70 [57600/60000 (96%)]\tLoss: 103.665710\n",
"Train Epoch: 70 [58880/60000 (98%)]\tLoss: 100.838303\n",
"====> Epoch: 70 Average loss: 101.2263\n",
"====> Test set loss: 93.0619\n",
"Train Epoch: 71 [0/60000 (0%)]\tLoss: 99.570007\n",
"Train Epoch: 71 [1280/60000 (2%)]\tLoss: 100.250320\n",
"Train Epoch: 71 [2560/60000 (4%)]\tLoss: 101.970787\n",
"Train Epoch: 71 [3840/60000 (6%)]\tLoss: 100.648254\n",
"Train Epoch: 71 [5120/60000 (9%)]\tLoss: 100.483208\n",
"Train Epoch: 71 [6400/60000 (11%)]\tLoss: 98.643051\n",
"Train Epoch: 71 [7680/60000 (13%)]\tLoss: 101.640884\n",
"Train Epoch: 71 [8960/60000 (15%)]\tLoss: 99.047684\n",
"Train Epoch: 71 [10240/60000 (17%)]\tLoss: 101.716064\n",
"Train Epoch: 71 [11520/60000 (19%)]\tLoss: 103.791161\n",
"Train Epoch: 71 [12800/60000 (21%)]\tLoss: 101.927734\n",
"Train Epoch: 71 [14080/60000 (23%)]\tLoss: 102.388680\n",
"Train Epoch: 71 [15360/60000 (26%)]\tLoss: 103.388519\n",
"Train Epoch: 71 [16640/60000 (28%)]\tLoss: 99.240372\n",
"Train Epoch: 71 [17920/60000 (30%)]\tLoss: 100.623413\n",
"Train Epoch: 71 [19200/60000 (32%)]\tLoss: 103.191505\n",
"Train Epoch: 71 [20480/60000 (34%)]\tLoss: 103.659348\n",
"Train Epoch: 71 [21760/60000 (36%)]\tLoss: 103.713898\n",
"Train Epoch: 71 [23040/60000 (38%)]\tLoss: 100.566101\n",
"Train Epoch: 71 [24320/60000 (41%)]\tLoss: 101.573792\n",
"Train Epoch: 71 [25600/60000 (43%)]\tLoss: 101.447220\n",
"Train Epoch: 71 [26880/60000 (45%)]\tLoss: 99.940834\n",
"Train Epoch: 71 [28160/60000 (47%)]\tLoss: 100.069641\n",
"Train Epoch: 71 [29440/60000 (49%)]\tLoss: 98.685638\n",
"Train Epoch: 71 [30720/60000 (51%)]\tLoss: 99.502235\n",
"Train Epoch: 71 [32000/60000 (53%)]\tLoss: 100.985214\n",
"Train Epoch: 71 [33280/60000 (55%)]\tLoss: 101.926888\n",
"Train Epoch: 71 [34560/60000 (58%)]\tLoss: 102.349564\n",
"Train Epoch: 71 [35840/60000 (60%)]\tLoss: 104.349739\n",
"Train Epoch: 71 [37120/60000 (62%)]\tLoss: 103.161522\n",
"Train Epoch: 71 [38400/60000 (64%)]\tLoss: 101.602432\n",
"Train Epoch: 71 [39680/60000 (66%)]\tLoss: 98.624359\n",
"Train Epoch: 71 [40960/60000 (68%)]\tLoss: 99.935440\n",
"Train Epoch: 71 [42240/60000 (70%)]\tLoss: 102.933212\n",
"Train Epoch: 71 [43520/60000 (72%)]\tLoss: 102.844879\n",
"Train Epoch: 71 [44800/60000 (75%)]\tLoss: 99.009438\n",
"Train Epoch: 71 [46080/60000 (77%)]\tLoss: 99.323502\n",
"Train Epoch: 71 [47360/60000 (79%)]\tLoss: 102.105904\n",
"Train Epoch: 71 [48640/60000 (81%)]\tLoss: 100.661896\n",
"Train Epoch: 71 [49920/60000 (83%)]\tLoss: 100.477692\n",
"Train Epoch: 71 [51200/60000 (85%)]\tLoss: 104.866524\n",
"Train Epoch: 71 [52480/60000 (87%)]\tLoss: 98.504242\n",
"Train Epoch: 71 [53760/60000 (90%)]\tLoss: 103.389313\n",
"Train Epoch: 71 [55040/60000 (92%)]\tLoss: 102.956459\n",
"Train Epoch: 71 [56320/60000 (94%)]\tLoss: 100.441872\n",
"Train Epoch: 71 [57600/60000 (96%)]\tLoss: 106.858154\n",
"Train Epoch: 71 [58880/60000 (98%)]\tLoss: 103.109451\n",
"====> Epoch: 71 Average loss: 101.1654\n",
"====> Test set loss: 93.1574\n",
"Train Epoch: 72 [0/60000 (0%)]\tLoss: 102.956070\n",
"Train Epoch: 72 [1280/60000 (2%)]\tLoss: 101.369629\n",
"Train Epoch: 72 [2560/60000 (4%)]\tLoss: 107.417320\n",
"Train Epoch: 72 [3840/60000 (6%)]\tLoss: 100.625900\n",
"Train Epoch: 72 [5120/60000 (9%)]\tLoss: 104.047348\n",
"Train Epoch: 72 [6400/60000 (11%)]\tLoss: 99.118774\n",
"Train Epoch: 72 [7680/60000 (13%)]\tLoss: 100.447639\n",
"Train Epoch: 72 [8960/60000 (15%)]\tLoss: 101.609505\n",
"Train Epoch: 72 [10240/60000 (17%)]\tLoss: 99.972717\n",
"Train Epoch: 72 [11520/60000 (19%)]\tLoss: 106.072815\n",
"Train Epoch: 72 [12800/60000 (21%)]\tLoss: 103.852982\n",
"Train Epoch: 72 [14080/60000 (23%)]\tLoss: 99.293015\n",
"Train Epoch: 72 [15360/60000 (26%)]\tLoss: 97.812157\n",
"Train Epoch: 72 [16640/60000 (28%)]\tLoss: 99.401115\n",
"Train Epoch: 72 [17920/60000 (30%)]\tLoss: 99.551178\n",
"Train Epoch: 72 [19200/60000 (32%)]\tLoss: 100.940552\n",
"Train Epoch: 72 [20480/60000 (34%)]\tLoss: 103.302429\n",
"Train Epoch: 72 [21760/60000 (36%)]\tLoss: 103.410866\n",
"Train Epoch: 72 [23040/60000 (38%)]\tLoss: 102.440201\n",
"Train Epoch: 72 [24320/60000 (41%)]\tLoss: 100.944565\n",
"Train Epoch: 72 [25600/60000 (43%)]\tLoss: 101.583458\n",
"Train Epoch: 72 [26880/60000 (45%)]\tLoss: 103.480972\n",
"Train Epoch: 72 [28160/60000 (47%)]\tLoss: 101.090775\n",
"Train Epoch: 72 [29440/60000 (49%)]\tLoss: 101.093658\n",
"Train Epoch: 72 [30720/60000 (51%)]\tLoss: 100.523048\n",
"Train Epoch: 72 [32000/60000 (53%)]\tLoss: 99.780891\n",
"Train Epoch: 72 [33280/60000 (55%)]\tLoss: 105.066406\n",
"Train Epoch: 72 [34560/60000 (58%)]\tLoss: 103.502052\n",
"Train Epoch: 72 [35840/60000 (60%)]\tLoss: 99.523575\n",
"Train Epoch: 72 [37120/60000 (62%)]\tLoss: 96.916260\n",
"Train Epoch: 72 [38400/60000 (64%)]\tLoss: 97.707542\n",
"Train Epoch: 72 [39680/60000 (66%)]\tLoss: 98.524925\n",
"Train Epoch: 72 [40960/60000 (68%)]\tLoss: 98.614761\n",
"Train Epoch: 72 [42240/60000 (70%)]\tLoss: 99.673111\n",
"Train Epoch: 72 [43520/60000 (72%)]\tLoss: 100.908195\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 72 [44800/60000 (75%)]\tLoss: 97.646561\n",
"Train Epoch: 72 [46080/60000 (77%)]\tLoss: 100.480087\n",
"Train Epoch: 72 [47360/60000 (79%)]\tLoss: 106.334900\n",
"Train Epoch: 72 [48640/60000 (81%)]\tLoss: 102.521774\n",
"Train Epoch: 72 [49920/60000 (83%)]\tLoss: 99.817070\n",
"Train Epoch: 72 [51200/60000 (85%)]\tLoss: 102.093384\n",
"Train Epoch: 72 [52480/60000 (87%)]\tLoss: 101.237938\n",
"Train Epoch: 72 [53760/60000 (90%)]\tLoss: 102.225639\n",
"Train Epoch: 72 [55040/60000 (92%)]\tLoss: 101.744949\n",
"Train Epoch: 72 [56320/60000 (94%)]\tLoss: 103.314293\n",
"Train Epoch: 72 [57600/60000 (96%)]\tLoss: 101.867188\n",
"Train Epoch: 72 [58880/60000 (98%)]\tLoss: 100.281525\n",
"====> Epoch: 72 Average loss: 101.2190\n",
"====> Test set loss: 93.3987\n",
"Train Epoch: 73 [0/60000 (0%)]\tLoss: 99.749863\n",
"Train Epoch: 73 [1280/60000 (2%)]\tLoss: 101.463470\n",
"Train Epoch: 73 [2560/60000 (4%)]\tLoss: 102.518112\n",
"Train Epoch: 73 [3840/60000 (6%)]\tLoss: 99.689240\n",
"Train Epoch: 73 [5120/60000 (9%)]\tLoss: 101.132309\n",
"Train Epoch: 73 [6400/60000 (11%)]\tLoss: 103.702530\n",
"Train Epoch: 73 [7680/60000 (13%)]\tLoss: 101.260742\n",
"Train Epoch: 73 [8960/60000 (15%)]\tLoss: 105.387207\n",
"Train Epoch: 73 [10240/60000 (17%)]\tLoss: 100.891037\n",
"Train Epoch: 73 [11520/60000 (19%)]\tLoss: 99.757576\n",
"Train Epoch: 73 [12800/60000 (21%)]\tLoss: 97.465408\n",
"Train Epoch: 73 [14080/60000 (23%)]\tLoss: 100.568481\n",
"Train Epoch: 73 [15360/60000 (26%)]\tLoss: 102.023262\n",
"Train Epoch: 73 [16640/60000 (28%)]\tLoss: 101.433014\n",
"Train Epoch: 73 [17920/60000 (30%)]\tLoss: 98.993378\n",
"Train Epoch: 73 [19200/60000 (32%)]\tLoss: 99.020493\n",
"Train Epoch: 73 [20480/60000 (34%)]\tLoss: 97.012459\n",
"Train Epoch: 73 [21760/60000 (36%)]\tLoss: 106.680267\n",
"Train Epoch: 73 [23040/60000 (38%)]\tLoss: 105.763527\n",
"Train Epoch: 73 [24320/60000 (41%)]\tLoss: 101.867142\n",
"Train Epoch: 73 [25600/60000 (43%)]\tLoss: 99.770645\n",
"Train Epoch: 73 [26880/60000 (45%)]\tLoss: 103.326416\n",
"Train Epoch: 73 [28160/60000 (47%)]\tLoss: 102.527664\n",
"Train Epoch: 73 [29440/60000 (49%)]\tLoss: 100.836914\n",
"Train Epoch: 73 [30720/60000 (51%)]\tLoss: 101.653961\n",
"Train Epoch: 73 [32000/60000 (53%)]\tLoss: 99.739006\n",
"Train Epoch: 73 [33280/60000 (55%)]\tLoss: 98.360168\n",
"Train Epoch: 73 [34560/60000 (58%)]\tLoss: 99.249207\n",
"Train Epoch: 73 [35840/60000 (60%)]\tLoss: 100.885506\n",
"Train Epoch: 73 [37120/60000 (62%)]\tLoss: 102.151367\n",
"Train Epoch: 73 [38400/60000 (64%)]\tLoss: 102.285744\n",
"Train Epoch: 73 [39680/60000 (66%)]\tLoss: 101.099609\n",
"Train Epoch: 73 [40960/60000 (68%)]\tLoss: 103.426147\n",
"Train Epoch: 73 [42240/60000 (70%)]\tLoss: 104.296356\n",
"Train Epoch: 73 [43520/60000 (72%)]\tLoss: 108.166840\n",
"Train Epoch: 73 [44800/60000 (75%)]\tLoss: 101.658554\n",
"Train Epoch: 73 [46080/60000 (77%)]\tLoss: 101.766090\n",
"Train Epoch: 73 [47360/60000 (79%)]\tLoss: 103.148849\n",
"Train Epoch: 73 [48640/60000 (81%)]\tLoss: 98.158417\n",
"Train Epoch: 73 [49920/60000 (83%)]\tLoss: 101.442734\n",
"Train Epoch: 73 [51200/60000 (85%)]\tLoss: 101.153183\n",
"Train Epoch: 73 [52480/60000 (87%)]\tLoss: 102.366646\n",
"Train Epoch: 73 [53760/60000 (90%)]\tLoss: 104.152771\n",
"Train Epoch: 73 [55040/60000 (92%)]\tLoss: 102.110374\n",
"Train Epoch: 73 [56320/60000 (94%)]\tLoss: 100.948914\n",
"Train Epoch: 73 [57600/60000 (96%)]\tLoss: 97.588577\n",
"Train Epoch: 73 [58880/60000 (98%)]\tLoss: 99.258514\n",
"====> Epoch: 73 Average loss: 101.1704\n",
"====> Test set loss: 93.2772\n",
"Train Epoch: 74 [0/60000 (0%)]\tLoss: 98.093262\n",
"Train Epoch: 74 [1280/60000 (2%)]\tLoss: 99.122147\n",
"Train Epoch: 74 [2560/60000 (4%)]\tLoss: 103.550377\n",
"Train Epoch: 74 [3840/60000 (6%)]\tLoss: 102.732895\n",
"Train Epoch: 74 [5120/60000 (9%)]\tLoss: 105.539597\n",
"Train Epoch: 74 [6400/60000 (11%)]\tLoss: 102.006027\n",
"Train Epoch: 74 [7680/60000 (13%)]\tLoss: 101.851189\n",
"Train Epoch: 74 [8960/60000 (15%)]\tLoss: 104.414566\n",
"Train Epoch: 74 [10240/60000 (17%)]\tLoss: 102.686592\n",
"Train Epoch: 74 [11520/60000 (19%)]\tLoss: 99.972847\n",
"Train Epoch: 74 [12800/60000 (21%)]\tLoss: 97.397949\n",
"Train Epoch: 74 [14080/60000 (23%)]\tLoss: 102.599487\n",
"Train Epoch: 74 [15360/60000 (26%)]\tLoss: 100.497803\n",
"Train Epoch: 74 [16640/60000 (28%)]\tLoss: 102.187836\n",
"Train Epoch: 74 [17920/60000 (30%)]\tLoss: 99.461319\n",
"Train Epoch: 74 [19200/60000 (32%)]\tLoss: 103.364029\n",
"Train Epoch: 74 [20480/60000 (34%)]\tLoss: 103.334663\n",
"Train Epoch: 74 [21760/60000 (36%)]\tLoss: 101.677040\n",
"Train Epoch: 74 [23040/60000 (38%)]\tLoss: 100.976601\n",
"Train Epoch: 74 [24320/60000 (41%)]\tLoss: 103.995178\n",
"Train Epoch: 74 [25600/60000 (43%)]\tLoss: 104.788155\n",
"Train Epoch: 74 [26880/60000 (45%)]\tLoss: 100.256554\n",
"Train Epoch: 74 [28160/60000 (47%)]\tLoss: 103.495049\n",
"Train Epoch: 74 [29440/60000 (49%)]\tLoss: 101.559883\n",
"Train Epoch: 74 [30720/60000 (51%)]\tLoss: 103.566864\n",
"Train Epoch: 74 [32000/60000 (53%)]\tLoss: 103.519470\n",
"Train Epoch: 74 [33280/60000 (55%)]\tLoss: 106.165161\n",
"Train Epoch: 74 [34560/60000 (58%)]\tLoss: 99.295860\n",
"Train Epoch: 74 [35840/60000 (60%)]\tLoss: 99.740997\n",
"Train Epoch: 74 [37120/60000 (62%)]\tLoss: 99.072861\n",
"Train Epoch: 74 [38400/60000 (64%)]\tLoss: 104.939056\n",
"Train Epoch: 74 [39680/60000 (66%)]\tLoss: 97.748184\n",
"Train Epoch: 74 [40960/60000 (68%)]\tLoss: 102.414856\n",
"Train Epoch: 74 [42240/60000 (70%)]\tLoss: 97.363861\n",
"Train Epoch: 74 [43520/60000 (72%)]\tLoss: 101.886238\n",
"Train Epoch: 74 [44800/60000 (75%)]\tLoss: 100.750008\n",
"Train Epoch: 74 [46080/60000 (77%)]\tLoss: 102.505798\n",
"Train Epoch: 74 [47360/60000 (79%)]\tLoss: 100.577751\n",
"Train Epoch: 74 [48640/60000 (81%)]\tLoss: 98.472992\n",
"Train Epoch: 74 [49920/60000 (83%)]\tLoss: 102.717621\n",
"Train Epoch: 74 [51200/60000 (85%)]\tLoss: 98.774376\n",
"Train Epoch: 74 [52480/60000 (87%)]\tLoss: 103.349648\n",
"Train Epoch: 74 [53760/60000 (90%)]\tLoss: 97.203415\n",
"Train Epoch: 74 [55040/60000 (92%)]\tLoss: 99.093201\n",
"Train Epoch: 74 [56320/60000 (94%)]\tLoss: 102.999283\n",
"Train Epoch: 74 [57600/60000 (96%)]\tLoss: 99.613747\n",
"Train Epoch: 74 [58880/60000 (98%)]\tLoss: 98.843742\n",
"====> Epoch: 74 Average loss: 101.1470\n",
"====> Test set loss: 92.5347\n",
"Train Epoch: 75 [0/60000 (0%)]\tLoss: 99.531815\n",
"Train Epoch: 75 [1280/60000 (2%)]\tLoss: 100.651634\n",
"Train Epoch: 75 [2560/60000 (4%)]\tLoss: 99.429398\n",
"Train Epoch: 75 [3840/60000 (6%)]\tLoss: 99.437630\n",
"Train Epoch: 75 [5120/60000 (9%)]\tLoss: 101.354912\n",
"Train Epoch: 75 [6400/60000 (11%)]\tLoss: 102.286697\n",
"Train Epoch: 75 [7680/60000 (13%)]\tLoss: 103.080521\n",
"Train Epoch: 75 [8960/60000 (15%)]\tLoss: 103.045395\n",
"Train Epoch: 75 [10240/60000 (17%)]\tLoss: 101.866104\n",
"Train Epoch: 75 [11520/60000 (19%)]\tLoss: 98.723068\n",
"Train Epoch: 75 [12800/60000 (21%)]\tLoss: 99.068565\n",
"Train Epoch: 75 [14080/60000 (23%)]\tLoss: 103.398949\n",
"Train Epoch: 75 [15360/60000 (26%)]\tLoss: 101.644547\n",
"Train Epoch: 75 [16640/60000 (28%)]\tLoss: 99.762749\n",
"Train Epoch: 75 [17920/60000 (30%)]\tLoss: 104.329468\n",
"Train Epoch: 75 [19200/60000 (32%)]\tLoss: 97.292191\n",
"Train Epoch: 75 [20480/60000 (34%)]\tLoss: 99.770882\n",
"Train Epoch: 75 [21760/60000 (36%)]\tLoss: 101.747803\n",
"Train Epoch: 75 [23040/60000 (38%)]\tLoss: 97.567749\n",
"Train Epoch: 75 [24320/60000 (41%)]\tLoss: 100.043854\n",
"Train Epoch: 75 [25600/60000 (43%)]\tLoss: 102.753654\n",
"Train Epoch: 75 [26880/60000 (45%)]\tLoss: 99.660950\n",
"Train Epoch: 75 [28160/60000 (47%)]\tLoss: 100.281593\n",
"Train Epoch: 75 [29440/60000 (49%)]\tLoss: 103.866394\n",
"Train Epoch: 75 [30720/60000 (51%)]\tLoss: 102.929161\n",
"Train Epoch: 75 [32000/60000 (53%)]\tLoss: 102.118362\n",
"Train Epoch: 75 [33280/60000 (55%)]\tLoss: 104.098160\n",
"Train Epoch: 75 [34560/60000 (58%)]\tLoss: 99.931366\n",
"Train Epoch: 75 [35840/60000 (60%)]\tLoss: 101.002670\n",
"Train Epoch: 75 [37120/60000 (62%)]\tLoss: 102.048378\n",
"Train Epoch: 75 [38400/60000 (64%)]\tLoss: 99.992920\n",
"Train Epoch: 75 [39680/60000 (66%)]\tLoss: 101.364029\n",
"Train Epoch: 75 [40960/60000 (68%)]\tLoss: 105.036163\n",
"Train Epoch: 75 [42240/60000 (70%)]\tLoss: 102.995102\n",
"Train Epoch: 75 [43520/60000 (72%)]\tLoss: 98.973000\n",
"Train Epoch: 75 [44800/60000 (75%)]\tLoss: 102.996475\n",
"Train Epoch: 75 [46080/60000 (77%)]\tLoss: 100.719955\n",
"Train Epoch: 75 [47360/60000 (79%)]\tLoss: 99.521492\n",
"Train Epoch: 75 [48640/60000 (81%)]\tLoss: 100.588722\n",
"Train Epoch: 75 [49920/60000 (83%)]\tLoss: 101.228600\n",
"Train Epoch: 75 [51200/60000 (85%)]\tLoss: 100.355042\n",
"Train Epoch: 75 [52480/60000 (87%)]\tLoss: 100.707542\n",
"Train Epoch: 75 [53760/60000 (90%)]\tLoss: 103.283279\n",
"Train Epoch: 75 [55040/60000 (92%)]\tLoss: 102.613327\n",
"Train Epoch: 75 [56320/60000 (94%)]\tLoss: 101.068230\n",
"Train Epoch: 75 [57600/60000 (96%)]\tLoss: 100.191315\n",
"Train Epoch: 75 [58880/60000 (98%)]\tLoss: 103.941788\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Epoch: 75 Average loss: 101.1213\n",
"====> Test set loss: 92.7845\n",
"Train Epoch: 76 [0/60000 (0%)]\tLoss: 100.596031\n",
"Train Epoch: 76 [1280/60000 (2%)]\tLoss: 103.423706\n",
"Train Epoch: 76 [2560/60000 (4%)]\tLoss: 98.647537\n",
"Train Epoch: 76 [3840/60000 (6%)]\tLoss: 102.203438\n",
"Train Epoch: 76 [5120/60000 (9%)]\tLoss: 98.052460\n",
"Train Epoch: 76 [6400/60000 (11%)]\tLoss: 101.525658\n",
"Train Epoch: 76 [7680/60000 (13%)]\tLoss: 97.600410\n",
"Train Epoch: 76 [8960/60000 (15%)]\tLoss: 100.502129\n",
"Train Epoch: 76 [10240/60000 (17%)]\tLoss: 99.773346\n",
"Train Epoch: 76 [11520/60000 (19%)]\tLoss: 100.675331\n",
"Train Epoch: 76 [12800/60000 (21%)]\tLoss: 97.840729\n",
"Train Epoch: 76 [14080/60000 (23%)]\tLoss: 99.068710\n",
"Train Epoch: 76 [15360/60000 (26%)]\tLoss: 102.326256\n",
"Train Epoch: 76 [16640/60000 (28%)]\tLoss: 99.490570\n",
"Train Epoch: 76 [17920/60000 (30%)]\tLoss: 101.549019\n",
"Train Epoch: 76 [19200/60000 (32%)]\tLoss: 105.581284\n",
"Train Epoch: 76 [20480/60000 (34%)]\tLoss: 100.801712\n",
"Train Epoch: 76 [21760/60000 (36%)]\tLoss: 96.162048\n",
"Train Epoch: 76 [23040/60000 (38%)]\tLoss: 100.999466\n",
"Train Epoch: 76 [24320/60000 (41%)]\tLoss: 100.849892\n",
"Train Epoch: 76 [25600/60000 (43%)]\tLoss: 97.903664\n",
"Train Epoch: 76 [26880/60000 (45%)]\tLoss: 101.355728\n",
"Train Epoch: 76 [28160/60000 (47%)]\tLoss: 99.557022\n",
"Train Epoch: 76 [29440/60000 (49%)]\tLoss: 101.393333\n",
"Train Epoch: 76 [30720/60000 (51%)]\tLoss: 98.628136\n",
"Train Epoch: 76 [32000/60000 (53%)]\tLoss: 101.487785\n",
"Train Epoch: 76 [33280/60000 (55%)]\tLoss: 95.616089\n",
"Train Epoch: 76 [34560/60000 (58%)]\tLoss: 101.481697\n",
"Train Epoch: 76 [35840/60000 (60%)]\tLoss: 101.884277\n",
"Train Epoch: 76 [37120/60000 (62%)]\tLoss: 101.199219\n",
"Train Epoch: 76 [38400/60000 (64%)]\tLoss: 99.550720\n",
"Train Epoch: 76 [39680/60000 (66%)]\tLoss: 95.670883\n",
"Train Epoch: 76 [40960/60000 (68%)]\tLoss: 101.954575\n",
"Train Epoch: 76 [42240/60000 (70%)]\tLoss: 98.777542\n",
"Train Epoch: 76 [43520/60000 (72%)]\tLoss: 101.011047\n",
"Train Epoch: 76 [44800/60000 (75%)]\tLoss: 99.406021\n",
"Train Epoch: 76 [46080/60000 (77%)]\tLoss: 102.523926\n",
"Train Epoch: 76 [47360/60000 (79%)]\tLoss: 102.513580\n",
"Train Epoch: 76 [48640/60000 (81%)]\tLoss: 97.501923\n",
"Train Epoch: 76 [49920/60000 (83%)]\tLoss: 99.526466\n",
"Train Epoch: 76 [51200/60000 (85%)]\tLoss: 99.227753\n",
"Train Epoch: 76 [52480/60000 (87%)]\tLoss: 97.850342\n",
"Train Epoch: 76 [53760/60000 (90%)]\tLoss: 102.152695\n",
"Train Epoch: 76 [55040/60000 (92%)]\tLoss: 99.521210\n",
"Train Epoch: 76 [56320/60000 (94%)]\tLoss: 101.570969\n",
"Train Epoch: 76 [57600/60000 (96%)]\tLoss: 101.991699\n",
"Train Epoch: 76 [58880/60000 (98%)]\tLoss: 102.946106\n",
"====> Epoch: 76 Average loss: 101.0768\n",
"====> Test set loss: 93.4125\n",
"Train Epoch: 77 [0/60000 (0%)]\tLoss: 99.917900\n",
"Train Epoch: 77 [1280/60000 (2%)]\tLoss: 100.006294\n",
"Train Epoch: 77 [2560/60000 (4%)]\tLoss: 102.095993\n",
"Train Epoch: 77 [3840/60000 (6%)]\tLoss: 100.817184\n",
"Train Epoch: 77 [5120/60000 (9%)]\tLoss: 102.903320\n",
"Train Epoch: 77 [6400/60000 (11%)]\tLoss: 105.163719\n",
"Train Epoch: 77 [7680/60000 (13%)]\tLoss: 101.348526\n",
"Train Epoch: 77 [8960/60000 (15%)]\tLoss: 101.697601\n",
"Train Epoch: 77 [10240/60000 (17%)]\tLoss: 100.271759\n",
"Train Epoch: 77 [11520/60000 (19%)]\tLoss: 100.707863\n",
"Train Epoch: 77 [12800/60000 (21%)]\tLoss: 102.792076\n",
"Train Epoch: 77 [14080/60000 (23%)]\tLoss: 103.260406\n",
"Train Epoch: 77 [15360/60000 (26%)]\tLoss: 100.309837\n",
"Train Epoch: 77 [16640/60000 (28%)]\tLoss: 102.312485\n",
"Train Epoch: 77 [17920/60000 (30%)]\tLoss: 103.721077\n",
"Train Epoch: 77 [19200/60000 (32%)]\tLoss: 97.294327\n",
"Train Epoch: 77 [20480/60000 (34%)]\tLoss: 103.234558\n",
"Train Epoch: 77 [21760/60000 (36%)]\tLoss: 102.494629\n",
"Train Epoch: 77 [23040/60000 (38%)]\tLoss: 106.516083\n",
"Train Epoch: 77 [24320/60000 (41%)]\tLoss: 99.671280\n",
"Train Epoch: 77 [25600/60000 (43%)]\tLoss: 102.660690\n",
"Train Epoch: 77 [26880/60000 (45%)]\tLoss: 99.905396\n",
"Train Epoch: 77 [28160/60000 (47%)]\tLoss: 100.455399\n",
"Train Epoch: 77 [29440/60000 (49%)]\tLoss: 101.798996\n",
"Train Epoch: 77 [30720/60000 (51%)]\tLoss: 104.657700\n",
"Train Epoch: 77 [32000/60000 (53%)]\tLoss: 99.953590\n",
"Train Epoch: 77 [33280/60000 (55%)]\tLoss: 101.605469\n",
"Train Epoch: 77 [34560/60000 (58%)]\tLoss: 100.267487\n",
"Train Epoch: 77 [35840/60000 (60%)]\tLoss: 104.387314\n",
"Train Epoch: 77 [37120/60000 (62%)]\tLoss: 101.113052\n",
"Train Epoch: 77 [38400/60000 (64%)]\tLoss: 99.803894\n",
"Train Epoch: 77 [39680/60000 (66%)]\tLoss: 102.085167\n",
"Train Epoch: 77 [40960/60000 (68%)]\tLoss: 102.138382\n",
"Train Epoch: 77 [42240/60000 (70%)]\tLoss: 98.777451\n",
"Train Epoch: 77 [43520/60000 (72%)]\tLoss: 98.931236\n",
"Train Epoch: 77 [44800/60000 (75%)]\tLoss: 100.735382\n",
"Train Epoch: 77 [46080/60000 (77%)]\tLoss: 103.525146\n",
"Train Epoch: 77 [47360/60000 (79%)]\tLoss: 102.121849\n",
"Train Epoch: 77 [48640/60000 (81%)]\tLoss: 101.043137\n",
"Train Epoch: 77 [49920/60000 (83%)]\tLoss: 102.586914\n",
"Train Epoch: 77 [51200/60000 (85%)]\tLoss: 100.395378\n",
"Train Epoch: 77 [52480/60000 (87%)]\tLoss: 101.155991\n",
"Train Epoch: 77 [53760/60000 (90%)]\tLoss: 102.245422\n",
"Train Epoch: 77 [55040/60000 (92%)]\tLoss: 96.960884\n",
"Train Epoch: 77 [56320/60000 (94%)]\tLoss: 101.774612\n",
"Train Epoch: 77 [57600/60000 (96%)]\tLoss: 101.682426\n",
"Train Epoch: 77 [58880/60000 (98%)]\tLoss: 104.990730\n",
"====> Epoch: 77 Average loss: 101.0513\n",
"====> Test set loss: 93.0156\n",
"Train Epoch: 78 [0/60000 (0%)]\tLoss: 103.573570\n",
"Train Epoch: 78 [1280/60000 (2%)]\tLoss: 103.190010\n",
"Train Epoch: 78 [2560/60000 (4%)]\tLoss: 97.956131\n",
"Train Epoch: 78 [3840/60000 (6%)]\tLoss: 98.823044\n",
"Train Epoch: 78 [5120/60000 (9%)]\tLoss: 103.127411\n",
"Train Epoch: 78 [6400/60000 (11%)]\tLoss: 105.203522\n",
"Train Epoch: 78 [7680/60000 (13%)]\tLoss: 101.083519\n",
"Train Epoch: 78 [8960/60000 (15%)]\tLoss: 102.667175\n",
"Train Epoch: 78 [10240/60000 (17%)]\tLoss: 103.644615\n",
"Train Epoch: 78 [11520/60000 (19%)]\tLoss: 98.829071\n",
"Train Epoch: 78 [12800/60000 (21%)]\tLoss: 101.177460\n",
"Train Epoch: 78 [14080/60000 (23%)]\tLoss: 101.823807\n",
"Train Epoch: 78 [15360/60000 (26%)]\tLoss: 103.025757\n",
"Train Epoch: 78 [16640/60000 (28%)]\tLoss: 100.662155\n",
"Train Epoch: 78 [17920/60000 (30%)]\tLoss: 100.149353\n",
"Train Epoch: 78 [19200/60000 (32%)]\tLoss: 100.809212\n",
"Train Epoch: 78 [20480/60000 (34%)]\tLoss: 99.019394\n",
"Train Epoch: 78 [21760/60000 (36%)]\tLoss: 102.416397\n",
"Train Epoch: 78 [23040/60000 (38%)]\tLoss: 100.554985\n",
"Train Epoch: 78 [24320/60000 (41%)]\tLoss: 101.618431\n",
"Train Epoch: 78 [25600/60000 (43%)]\tLoss: 102.025505\n",
"Train Epoch: 78 [26880/60000 (45%)]\tLoss: 99.383797\n",
"Train Epoch: 78 [28160/60000 (47%)]\tLoss: 102.211243\n",
"Train Epoch: 78 [29440/60000 (49%)]\tLoss: 96.593323\n",
"Train Epoch: 78 [30720/60000 (51%)]\tLoss: 101.671852\n",
"Train Epoch: 78 [32000/60000 (53%)]\tLoss: 101.066483\n",
"Train Epoch: 78 [33280/60000 (55%)]\tLoss: 98.869431\n",
"Train Epoch: 78 [34560/60000 (58%)]\tLoss: 102.935349\n",
"Train Epoch: 78 [35840/60000 (60%)]\tLoss: 101.020432\n",
"Train Epoch: 78 [37120/60000 (62%)]\tLoss: 101.362000\n",
"Train Epoch: 78 [38400/60000 (64%)]\tLoss: 104.568344\n",
"Train Epoch: 78 [39680/60000 (66%)]\tLoss: 103.593826\n",
"Train Epoch: 78 [40960/60000 (68%)]\tLoss: 99.726013\n",
"Train Epoch: 78 [42240/60000 (70%)]\tLoss: 96.627792\n",
"Train Epoch: 78 [43520/60000 (72%)]\tLoss: 100.598053\n",
"Train Epoch: 78 [44800/60000 (75%)]\tLoss: 100.191574\n",
"Train Epoch: 78 [46080/60000 (77%)]\tLoss: 99.929070\n",
"Train Epoch: 78 [47360/60000 (79%)]\tLoss: 100.758820\n",
"Train Epoch: 78 [48640/60000 (81%)]\tLoss: 103.932907\n",
"Train Epoch: 78 [49920/60000 (83%)]\tLoss: 101.161865\n",
"Train Epoch: 78 [51200/60000 (85%)]\tLoss: 97.455093\n",
"Train Epoch: 78 [52480/60000 (87%)]\tLoss: 100.642204\n",
"Train Epoch: 78 [53760/60000 (90%)]\tLoss: 102.998642\n",
"Train Epoch: 78 [55040/60000 (92%)]\tLoss: 98.479767\n",
"Train Epoch: 78 [56320/60000 (94%)]\tLoss: 101.206474\n",
"Train Epoch: 78 [57600/60000 (96%)]\tLoss: 99.140854\n",
"Train Epoch: 78 [58880/60000 (98%)]\tLoss: 99.704910\n",
"====> Epoch: 78 Average loss: 101.0640\n",
"====> Test set loss: 92.9858\n",
"Train Epoch: 79 [0/60000 (0%)]\tLoss: 101.473877\n",
"Train Epoch: 79 [1280/60000 (2%)]\tLoss: 101.305939\n",
"Train Epoch: 79 [2560/60000 (4%)]\tLoss: 102.523094\n",
"Train Epoch: 79 [3840/60000 (6%)]\tLoss: 100.950798\n",
"Train Epoch: 79 [5120/60000 (9%)]\tLoss: 97.777435\n",
"Train Epoch: 79 [6400/60000 (11%)]\tLoss: 101.421211\n",
"Train Epoch: 79 [7680/60000 (13%)]\tLoss: 99.715294\n",
"Train Epoch: 79 [8960/60000 (15%)]\tLoss: 100.697601\n",
"Train Epoch: 79 [10240/60000 (17%)]\tLoss: 99.708435\n",
"Train Epoch: 79 [11520/60000 (19%)]\tLoss: 102.361801\n",
"Train Epoch: 79 [12800/60000 (21%)]\tLoss: 99.095123\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 79 [14080/60000 (23%)]\tLoss: 100.891830\n",
"Train Epoch: 79 [15360/60000 (26%)]\tLoss: 100.837402\n",
"Train Epoch: 79 [16640/60000 (28%)]\tLoss: 105.995590\n",
"Train Epoch: 79 [17920/60000 (30%)]\tLoss: 102.451637\n",
"Train Epoch: 79 [19200/60000 (32%)]\tLoss: 101.089973\n",
"Train Epoch: 79 [20480/60000 (34%)]\tLoss: 100.800087\n",
"Train Epoch: 79 [21760/60000 (36%)]\tLoss: 98.669518\n",
"Train Epoch: 79 [23040/60000 (38%)]\tLoss: 100.261864\n",
"Train Epoch: 79 [24320/60000 (41%)]\tLoss: 102.789871\n",
"Train Epoch: 79 [25600/60000 (43%)]\tLoss: 98.323486\n",
"Train Epoch: 79 [26880/60000 (45%)]\tLoss: 105.603226\n",
"Train Epoch: 79 [28160/60000 (47%)]\tLoss: 103.408020\n",
"Train Epoch: 79 [29440/60000 (49%)]\tLoss: 100.450409\n",
"Train Epoch: 79 [30720/60000 (51%)]\tLoss: 101.708801\n",
"Train Epoch: 79 [32000/60000 (53%)]\tLoss: 100.154449\n",
"Train Epoch: 79 [33280/60000 (55%)]\tLoss: 100.546951\n",
"Train Epoch: 79 [34560/60000 (58%)]\tLoss: 102.274582\n",
"Train Epoch: 79 [35840/60000 (60%)]\tLoss: 101.036835\n",
"Train Epoch: 79 [37120/60000 (62%)]\tLoss: 99.011276\n",
"Train Epoch: 79 [38400/60000 (64%)]\tLoss: 99.233604\n",
"Train Epoch: 79 [39680/60000 (66%)]\tLoss: 102.888916\n",
"Train Epoch: 79 [40960/60000 (68%)]\tLoss: 101.629196\n",
"Train Epoch: 79 [42240/60000 (70%)]\tLoss: 99.800934\n",
"Train Epoch: 79 [43520/60000 (72%)]\tLoss: 101.870422\n",
"Train Epoch: 79 [44800/60000 (75%)]\tLoss: 103.781746\n",
"Train Epoch: 79 [46080/60000 (77%)]\tLoss: 98.515717\n",
"Train Epoch: 79 [47360/60000 (79%)]\tLoss: 104.439804\n",
"Train Epoch: 79 [48640/60000 (81%)]\tLoss: 99.923943\n",
"Train Epoch: 79 [49920/60000 (83%)]\tLoss: 100.409851\n",
"Train Epoch: 79 [51200/60000 (85%)]\tLoss: 100.229324\n",
"Train Epoch: 79 [52480/60000 (87%)]\tLoss: 102.207947\n",
"Train Epoch: 79 [53760/60000 (90%)]\tLoss: 103.115395\n",
"Train Epoch: 79 [55040/60000 (92%)]\tLoss: 104.217941\n",
"Train Epoch: 79 [56320/60000 (94%)]\tLoss: 100.305595\n",
"Train Epoch: 79 [57600/60000 (96%)]\tLoss: 104.913376\n",
"Train Epoch: 79 [58880/60000 (98%)]\tLoss: 104.206985\n",
"====> Epoch: 79 Average loss: 101.0008\n",
"====> Test set loss: 92.4288\n",
"Train Epoch: 80 [0/60000 (0%)]\tLoss: 103.478333\n",
"Train Epoch: 80 [1280/60000 (2%)]\tLoss: 98.333649\n",
"Train Epoch: 80 [2560/60000 (4%)]\tLoss: 100.031746\n",
"Train Epoch: 80 [3840/60000 (6%)]\tLoss: 101.575638\n",
"Train Epoch: 80 [5120/60000 (9%)]\tLoss: 101.446793\n",
"Train Epoch: 80 [6400/60000 (11%)]\tLoss: 101.533913\n",
"Train Epoch: 80 [7680/60000 (13%)]\tLoss: 102.836304\n",
"Train Epoch: 80 [8960/60000 (15%)]\tLoss: 100.616386\n",
"Train Epoch: 80 [10240/60000 (17%)]\tLoss: 99.667152\n",
"Train Epoch: 80 [11520/60000 (19%)]\tLoss: 102.170441\n",
"Train Epoch: 80 [12800/60000 (21%)]\tLoss: 98.782272\n",
"Train Epoch: 80 [14080/60000 (23%)]\tLoss: 98.657555\n",
"Train Epoch: 80 [15360/60000 (26%)]\tLoss: 101.677216\n",
"Train Epoch: 80 [16640/60000 (28%)]\tLoss: 97.924835\n",
"Train Epoch: 80 [17920/60000 (30%)]\tLoss: 101.738945\n",
"Train Epoch: 80 [19200/60000 (32%)]\tLoss: 102.269203\n",
"Train Epoch: 80 [20480/60000 (34%)]\tLoss: 101.365150\n",
"Train Epoch: 80 [21760/60000 (36%)]\tLoss: 98.677711\n",
"Train Epoch: 80 [23040/60000 (38%)]\tLoss: 98.186104\n",
"Train Epoch: 80 [24320/60000 (41%)]\tLoss: 99.019081\n",
"Train Epoch: 80 [25600/60000 (43%)]\tLoss: 99.923309\n",
"Train Epoch: 80 [26880/60000 (45%)]\tLoss: 103.508331\n",
"Train Epoch: 80 [28160/60000 (47%)]\tLoss: 102.381485\n",
"Train Epoch: 80 [29440/60000 (49%)]\tLoss: 97.885239\n",
"Train Epoch: 80 [30720/60000 (51%)]\tLoss: 94.413956\n",
"Train Epoch: 80 [32000/60000 (53%)]\tLoss: 100.261932\n",
"Train Epoch: 80 [33280/60000 (55%)]\tLoss: 99.824272\n",
"Train Epoch: 80 [34560/60000 (58%)]\tLoss: 100.241600\n",
"Train Epoch: 80 [35840/60000 (60%)]\tLoss: 101.344429\n",
"Train Epoch: 80 [37120/60000 (62%)]\tLoss: 102.324326\n",
"Train Epoch: 80 [38400/60000 (64%)]\tLoss: 100.094048\n",
"Train Epoch: 80 [39680/60000 (66%)]\tLoss: 97.673721\n",
"Train Epoch: 80 [40960/60000 (68%)]\tLoss: 101.163559\n",
"Train Epoch: 80 [42240/60000 (70%)]\tLoss: 103.566467\n",
"Train Epoch: 80 [43520/60000 (72%)]\tLoss: 102.360092\n",
"Train Epoch: 80 [44800/60000 (75%)]\tLoss: 96.403236\n",
"Train Epoch: 80 [46080/60000 (77%)]\tLoss: 98.669159\n",
"Train Epoch: 80 [47360/60000 (79%)]\tLoss: 101.090042\n",
"Train Epoch: 80 [48640/60000 (81%)]\tLoss: 99.476562\n",
"Train Epoch: 80 [49920/60000 (83%)]\tLoss: 99.185997\n",
"Train Epoch: 80 [51200/60000 (85%)]\tLoss: 99.433517\n",
"Train Epoch: 80 [52480/60000 (87%)]\tLoss: 103.120354\n",
"Train Epoch: 80 [53760/60000 (90%)]\tLoss: 99.782806\n",
"Train Epoch: 80 [55040/60000 (92%)]\tLoss: 99.681824\n",
"Train Epoch: 80 [56320/60000 (94%)]\tLoss: 98.387321\n",
"Train Epoch: 80 [57600/60000 (96%)]\tLoss: 99.914886\n",
"Train Epoch: 80 [58880/60000 (98%)]\tLoss: 102.075523\n",
"====> Epoch: 80 Average loss: 101.0101\n",
"====> Test set loss: 92.9810\n",
"Train Epoch: 81 [0/60000 (0%)]\tLoss: 102.532196\n",
"Train Epoch: 81 [1280/60000 (2%)]\tLoss: 101.599670\n",
"Train Epoch: 81 [2560/60000 (4%)]\tLoss: 103.538544\n",
"Train Epoch: 81 [3840/60000 (6%)]\tLoss: 101.932556\n",
"Train Epoch: 81 [5120/60000 (9%)]\tLoss: 98.745987\n",
"Train Epoch: 81 [6400/60000 (11%)]\tLoss: 101.077103\n",
"Train Epoch: 81 [7680/60000 (13%)]\tLoss: 103.709671\n",
"Train Epoch: 81 [8960/60000 (15%)]\tLoss: 97.447708\n",
"Train Epoch: 81 [10240/60000 (17%)]\tLoss: 95.798096\n",
"Train Epoch: 81 [11520/60000 (19%)]\tLoss: 102.299713\n",
"Train Epoch: 81 [12800/60000 (21%)]\tLoss: 104.149765\n",
"Train Epoch: 81 [14080/60000 (23%)]\tLoss: 102.632248\n",
"Train Epoch: 81 [15360/60000 (26%)]\tLoss: 106.345993\n",
"Train Epoch: 81 [16640/60000 (28%)]\tLoss: 100.296860\n",
"Train Epoch: 81 [17920/60000 (30%)]\tLoss: 97.732933\n",
"Train Epoch: 81 [19200/60000 (32%)]\tLoss: 100.757019\n",
"Train Epoch: 81 [20480/60000 (34%)]\tLoss: 101.372246\n",
"Train Epoch: 81 [21760/60000 (36%)]\tLoss: 104.408829\n",
"Train Epoch: 81 [23040/60000 (38%)]\tLoss: 103.963348\n",
"Train Epoch: 81 [24320/60000 (41%)]\tLoss: 98.298553\n",
"Train Epoch: 81 [25600/60000 (43%)]\tLoss: 102.679306\n",
"Train Epoch: 81 [26880/60000 (45%)]\tLoss: 103.795868\n",
"Train Epoch: 81 [28160/60000 (47%)]\tLoss: 103.110405\n",
"Train Epoch: 81 [29440/60000 (49%)]\tLoss: 97.370583\n",
"Train Epoch: 81 [30720/60000 (51%)]\tLoss: 103.184097\n",
"Train Epoch: 81 [32000/60000 (53%)]\tLoss: 97.543243\n",
"Train Epoch: 81 [33280/60000 (55%)]\tLoss: 99.982697\n",
"Train Epoch: 81 [34560/60000 (58%)]\tLoss: 97.984695\n",
"Train Epoch: 81 [35840/60000 (60%)]\tLoss: 100.506447\n",
"Train Epoch: 81 [37120/60000 (62%)]\tLoss: 101.804520\n",
"Train Epoch: 81 [38400/60000 (64%)]\tLoss: 101.286476\n",
"Train Epoch: 81 [39680/60000 (66%)]\tLoss: 102.390511\n",
"Train Epoch: 81 [40960/60000 (68%)]\tLoss: 102.354370\n",
"Train Epoch: 81 [42240/60000 (70%)]\tLoss: 102.126160\n",
"Train Epoch: 81 [43520/60000 (72%)]\tLoss: 100.121689\n",
"Train Epoch: 81 [44800/60000 (75%)]\tLoss: 100.195114\n",
"Train Epoch: 81 [46080/60000 (77%)]\tLoss: 101.188934\n",
"Train Epoch: 81 [47360/60000 (79%)]\tLoss: 99.042419\n",
"Train Epoch: 81 [48640/60000 (81%)]\tLoss: 102.802986\n",
"Train Epoch: 81 [49920/60000 (83%)]\tLoss: 96.584488\n",
"Train Epoch: 81 [51200/60000 (85%)]\tLoss: 104.558311\n",
"Train Epoch: 81 [52480/60000 (87%)]\tLoss: 103.466400\n",
"Train Epoch: 81 [53760/60000 (90%)]\tLoss: 100.587265\n",
"Train Epoch: 81 [55040/60000 (92%)]\tLoss: 101.203674\n",
"Train Epoch: 81 [56320/60000 (94%)]\tLoss: 101.447731\n",
"Train Epoch: 81 [57600/60000 (96%)]\tLoss: 100.343414\n",
"Train Epoch: 81 [58880/60000 (98%)]\tLoss: 102.168655\n",
"====> Epoch: 81 Average loss: 100.9628\n",
"====> Test set loss: 92.6504\n",
"Train Epoch: 82 [0/60000 (0%)]\tLoss: 100.140694\n",
"Train Epoch: 82 [1280/60000 (2%)]\tLoss: 100.386795\n",
"Train Epoch: 82 [2560/60000 (4%)]\tLoss: 101.476585\n",
"Train Epoch: 82 [3840/60000 (6%)]\tLoss: 100.943024\n",
"Train Epoch: 82 [5120/60000 (9%)]\tLoss: 98.222443\n",
"Train Epoch: 82 [6400/60000 (11%)]\tLoss: 100.541885\n",
"Train Epoch: 82 [7680/60000 (13%)]\tLoss: 100.818443\n",
"Train Epoch: 82 [8960/60000 (15%)]\tLoss: 98.528603\n",
"Train Epoch: 82 [10240/60000 (17%)]\tLoss: 97.192062\n",
"Train Epoch: 82 [11520/60000 (19%)]\tLoss: 98.770172\n",
"Train Epoch: 82 [12800/60000 (21%)]\tLoss: 100.919395\n",
"Train Epoch: 82 [14080/60000 (23%)]\tLoss: 103.717529\n",
"Train Epoch: 82 [15360/60000 (26%)]\tLoss: 100.019142\n",
"Train Epoch: 82 [16640/60000 (28%)]\tLoss: 100.868134\n",
"Train Epoch: 82 [17920/60000 (30%)]\tLoss: 103.494186\n",
"Train Epoch: 82 [19200/60000 (32%)]\tLoss: 100.412758\n",
"Train Epoch: 82 [20480/60000 (34%)]\tLoss: 102.731613\n",
"Train Epoch: 82 [21760/60000 (36%)]\tLoss: 102.429153\n",
"Train Epoch: 82 [23040/60000 (38%)]\tLoss: 102.100037\n",
"Train Epoch: 82 [24320/60000 (41%)]\tLoss: 103.500931\n",
"Train Epoch: 82 [25600/60000 (43%)]\tLoss: 104.618851\n",
"Train Epoch: 82 [26880/60000 (45%)]\tLoss: 100.153198\n",
"Train Epoch: 82 [28160/60000 (47%)]\tLoss: 100.214645\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 82 [29440/60000 (49%)]\tLoss: 101.575516\n",
"Train Epoch: 82 [30720/60000 (51%)]\tLoss: 104.237762\n",
"Train Epoch: 82 [32000/60000 (53%)]\tLoss: 99.365524\n",
"Train Epoch: 82 [33280/60000 (55%)]\tLoss: 100.493774\n",
"Train Epoch: 82 [34560/60000 (58%)]\tLoss: 98.630402\n",
"Train Epoch: 82 [35840/60000 (60%)]\tLoss: 101.010086\n",
"Train Epoch: 82 [37120/60000 (62%)]\tLoss: 102.686462\n",
"Train Epoch: 82 [38400/60000 (64%)]\tLoss: 98.532120\n",
"Train Epoch: 82 [39680/60000 (66%)]\tLoss: 100.509277\n",
"Train Epoch: 82 [40960/60000 (68%)]\tLoss: 101.696533\n",
"Train Epoch: 82 [42240/60000 (70%)]\tLoss: 101.891670\n",
"Train Epoch: 82 [43520/60000 (72%)]\tLoss: 98.923645\n",
"Train Epoch: 82 [44800/60000 (75%)]\tLoss: 100.753151\n",
"Train Epoch: 82 [46080/60000 (77%)]\tLoss: 101.678406\n",
"Train Epoch: 82 [47360/60000 (79%)]\tLoss: 105.271927\n",
"Train Epoch: 82 [48640/60000 (81%)]\tLoss: 100.270370\n",
"Train Epoch: 82 [49920/60000 (83%)]\tLoss: 100.488213\n",
"Train Epoch: 82 [51200/60000 (85%)]\tLoss: 102.815727\n",
"Train Epoch: 82 [52480/60000 (87%)]\tLoss: 99.930542\n",
"Train Epoch: 82 [53760/60000 (90%)]\tLoss: 101.722862\n",
"Train Epoch: 82 [55040/60000 (92%)]\tLoss: 100.143990\n",
"Train Epoch: 82 [56320/60000 (94%)]\tLoss: 103.575966\n",
"Train Epoch: 82 [57600/60000 (96%)]\tLoss: 102.954895\n",
"Train Epoch: 82 [58880/60000 (98%)]\tLoss: 102.616760\n",
"====> Epoch: 82 Average loss: 100.9507\n",
"====> Test set loss: 93.1150\n",
"Train Epoch: 83 [0/60000 (0%)]\tLoss: 100.398315\n",
"Train Epoch: 83 [1280/60000 (2%)]\tLoss: 102.944504\n",
"Train Epoch: 83 [2560/60000 (4%)]\tLoss: 102.532959\n",
"Train Epoch: 83 [3840/60000 (6%)]\tLoss: 101.690781\n",
"Train Epoch: 83 [5120/60000 (9%)]\tLoss: 102.948624\n",
"Train Epoch: 83 [6400/60000 (11%)]\tLoss: 101.466782\n",
"Train Epoch: 83 [7680/60000 (13%)]\tLoss: 101.558441\n",
"Train Epoch: 83 [8960/60000 (15%)]\tLoss: 104.230438\n",
"Train Epoch: 83 [10240/60000 (17%)]\tLoss: 98.864914\n",
"Train Epoch: 83 [11520/60000 (19%)]\tLoss: 104.266800\n",
"Train Epoch: 83 [12800/60000 (21%)]\tLoss: 101.259346\n",
"Train Epoch: 83 [14080/60000 (23%)]\tLoss: 103.960838\n",
"Train Epoch: 83 [15360/60000 (26%)]\tLoss: 100.124146\n",
"Train Epoch: 83 [16640/60000 (28%)]\tLoss: 97.112701\n",
"Train Epoch: 83 [17920/60000 (30%)]\tLoss: 99.095459\n",
"Train Epoch: 83 [19200/60000 (32%)]\tLoss: 101.943283\n",
"Train Epoch: 83 [20480/60000 (34%)]\tLoss: 97.797791\n",
"Train Epoch: 83 [21760/60000 (36%)]\tLoss: 99.422104\n",
"Train Epoch: 83 [23040/60000 (38%)]\tLoss: 97.705589\n",
"Train Epoch: 83 [24320/60000 (41%)]\tLoss: 101.664001\n",
"Train Epoch: 83 [25600/60000 (43%)]\tLoss: 103.081299\n",
"Train Epoch: 83 [26880/60000 (45%)]\tLoss: 100.523529\n",
"Train Epoch: 83 [28160/60000 (47%)]\tLoss: 102.624405\n",
"Train Epoch: 83 [29440/60000 (49%)]\tLoss: 101.364105\n",
"Train Epoch: 83 [30720/60000 (51%)]\tLoss: 101.917252\n",
"Train Epoch: 83 [32000/60000 (53%)]\tLoss: 102.471336\n",
"Train Epoch: 83 [33280/60000 (55%)]\tLoss: 97.923706\n",
"Train Epoch: 83 [34560/60000 (58%)]\tLoss: 98.709175\n",
"Train Epoch: 83 [35840/60000 (60%)]\tLoss: 100.851189\n",
"Train Epoch: 83 [37120/60000 (62%)]\tLoss: 104.100914\n",
"Train Epoch: 83 [38400/60000 (64%)]\tLoss: 105.984802\n",
"Train Epoch: 83 [39680/60000 (66%)]\tLoss: 101.553261\n",
"Train Epoch: 83 [40960/60000 (68%)]\tLoss: 98.687424\n",
"Train Epoch: 83 [42240/60000 (70%)]\tLoss: 101.644394\n",
"Train Epoch: 83 [43520/60000 (72%)]\tLoss: 97.601883\n",
"Train Epoch: 83 [44800/60000 (75%)]\tLoss: 103.348770\n",
"Train Epoch: 83 [46080/60000 (77%)]\tLoss: 100.640327\n",
"Train Epoch: 83 [47360/60000 (79%)]\tLoss: 101.522316\n",
"Train Epoch: 83 [48640/60000 (81%)]\tLoss: 99.822823\n",
"Train Epoch: 83 [49920/60000 (83%)]\tLoss: 100.049004\n",
"Train Epoch: 83 [51200/60000 (85%)]\tLoss: 99.984497\n",
"Train Epoch: 83 [52480/60000 (87%)]\tLoss: 102.160088\n",
"Train Epoch: 83 [53760/60000 (90%)]\tLoss: 100.335175\n",
"Train Epoch: 83 [55040/60000 (92%)]\tLoss: 101.563782\n",
"Train Epoch: 83 [56320/60000 (94%)]\tLoss: 101.906105\n",
"Train Epoch: 83 [57600/60000 (96%)]\tLoss: 103.462601\n",
"Train Epoch: 83 [58880/60000 (98%)]\tLoss: 100.357300\n",
"====> Epoch: 83 Average loss: 100.8785\n",
"====> Test set loss: 93.0039\n",
"Train Epoch: 84 [0/60000 (0%)]\tLoss: 98.880035\n",
"Train Epoch: 84 [1280/60000 (2%)]\tLoss: 101.885574\n",
"Train Epoch: 84 [2560/60000 (4%)]\tLoss: 105.030197\n",
"Train Epoch: 84 [3840/60000 (6%)]\tLoss: 99.502113\n",
"Train Epoch: 84 [5120/60000 (9%)]\tLoss: 98.324692\n",
"Train Epoch: 84 [6400/60000 (11%)]\tLoss: 101.250565\n",
"Train Epoch: 84 [7680/60000 (13%)]\tLoss: 102.742615\n",
"Train Epoch: 84 [8960/60000 (15%)]\tLoss: 101.742035\n",
"Train Epoch: 84 [10240/60000 (17%)]\tLoss: 103.253075\n",
"Train Epoch: 84 [11520/60000 (19%)]\tLoss: 101.500572\n",
"Train Epoch: 84 [12800/60000 (21%)]\tLoss: 97.347275\n",
"Train Epoch: 84 [14080/60000 (23%)]\tLoss: 102.982910\n",
"Train Epoch: 84 [15360/60000 (26%)]\tLoss: 102.712845\n",
"Train Epoch: 84 [16640/60000 (28%)]\tLoss: 102.262039\n",
"Train Epoch: 84 [17920/60000 (30%)]\tLoss: 101.197380\n",
"Train Epoch: 84 [19200/60000 (32%)]\tLoss: 100.570267\n",
"Train Epoch: 84 [20480/60000 (34%)]\tLoss: 102.528976\n",
"Train Epoch: 84 [21760/60000 (36%)]\tLoss: 103.826126\n",
"Train Epoch: 84 [23040/60000 (38%)]\tLoss: 100.160248\n",
"Train Epoch: 84 [24320/60000 (41%)]\tLoss: 97.957657\n",
"Train Epoch: 84 [25600/60000 (43%)]\tLoss: 103.788879\n",
"Train Epoch: 84 [26880/60000 (45%)]\tLoss: 100.377968\n",
"Train Epoch: 84 [28160/60000 (47%)]\tLoss: 102.385864\n",
"Train Epoch: 84 [29440/60000 (49%)]\tLoss: 102.816864\n",
"Train Epoch: 84 [30720/60000 (51%)]\tLoss: 99.155731\n",
"Train Epoch: 84 [32000/60000 (53%)]\tLoss: 100.651894\n",
"Train Epoch: 84 [33280/60000 (55%)]\tLoss: 101.059845\n",
"Train Epoch: 84 [34560/60000 (58%)]\tLoss: 104.037689\n",
"Train Epoch: 84 [35840/60000 (60%)]\tLoss: 101.238129\n",
"Train Epoch: 84 [37120/60000 (62%)]\tLoss: 101.443977\n",
"Train Epoch: 84 [38400/60000 (64%)]\tLoss: 104.261574\n",
"Train Epoch: 84 [39680/60000 (66%)]\tLoss: 105.407036\n",
"Train Epoch: 84 [40960/60000 (68%)]\tLoss: 100.965698\n",
"Train Epoch: 84 [42240/60000 (70%)]\tLoss: 101.309540\n",
"Train Epoch: 84 [43520/60000 (72%)]\tLoss: 99.027954\n",
"Train Epoch: 84 [44800/60000 (75%)]\tLoss: 104.404961\n",
"Train Epoch: 84 [46080/60000 (77%)]\tLoss: 102.239815\n",
"Train Epoch: 84 [47360/60000 (79%)]\tLoss: 98.988441\n",
"Train Epoch: 84 [48640/60000 (81%)]\tLoss: 101.339851\n",
"Train Epoch: 84 [49920/60000 (83%)]\tLoss: 101.610458\n",
"Train Epoch: 84 [51200/60000 (85%)]\tLoss: 98.681366\n",
"Train Epoch: 84 [52480/60000 (87%)]\tLoss: 100.322845\n",
"Train Epoch: 84 [53760/60000 (90%)]\tLoss: 98.855103\n",
"Train Epoch: 84 [55040/60000 (92%)]\tLoss: 99.495430\n",
"Train Epoch: 84 [56320/60000 (94%)]\tLoss: 99.156052\n",
"Train Epoch: 84 [57600/60000 (96%)]\tLoss: 100.647118\n",
"Train Epoch: 84 [58880/60000 (98%)]\tLoss: 96.063187\n",
"====> Epoch: 84 Average loss: 100.9659\n",
"====> Test set loss: 93.0866\n",
"Train Epoch: 85 [0/60000 (0%)]\tLoss: 97.941597\n",
"Train Epoch: 85 [1280/60000 (2%)]\tLoss: 97.915596\n",
"Train Epoch: 85 [2560/60000 (4%)]\tLoss: 99.908905\n",
"Train Epoch: 85 [3840/60000 (6%)]\tLoss: 99.162659\n",
"Train Epoch: 85 [5120/60000 (9%)]\tLoss: 98.204109\n",
"Train Epoch: 85 [6400/60000 (11%)]\tLoss: 101.860786\n",
"Train Epoch: 85 [7680/60000 (13%)]\tLoss: 100.260567\n",
"Train Epoch: 85 [8960/60000 (15%)]\tLoss: 96.942978\n",
"Train Epoch: 85 [10240/60000 (17%)]\tLoss: 104.054688\n",
"Train Epoch: 85 [11520/60000 (19%)]\tLoss: 104.665909\n",
"Train Epoch: 85 [12800/60000 (21%)]\tLoss: 97.430046\n",
"Train Epoch: 85 [14080/60000 (23%)]\tLoss: 101.135330\n",
"Train Epoch: 85 [15360/60000 (26%)]\tLoss: 99.749542\n",
"Train Epoch: 85 [16640/60000 (28%)]\tLoss: 101.275299\n",
"Train Epoch: 85 [17920/60000 (30%)]\tLoss: 98.923012\n",
"Train Epoch: 85 [19200/60000 (32%)]\tLoss: 101.522682\n",
"Train Epoch: 85 [20480/60000 (34%)]\tLoss: 103.232765\n",
"Train Epoch: 85 [21760/60000 (36%)]\tLoss: 100.775887\n",
"Train Epoch: 85 [23040/60000 (38%)]\tLoss: 95.840897\n",
"Train Epoch: 85 [24320/60000 (41%)]\tLoss: 103.642464\n",
"Train Epoch: 85 [25600/60000 (43%)]\tLoss: 103.684807\n",
"Train Epoch: 85 [26880/60000 (45%)]\tLoss: 102.075150\n",
"Train Epoch: 85 [28160/60000 (47%)]\tLoss: 100.540527\n",
"Train Epoch: 85 [29440/60000 (49%)]\tLoss: 99.398727\n",
"Train Epoch: 85 [30720/60000 (51%)]\tLoss: 98.184647\n",
"Train Epoch: 85 [32000/60000 (53%)]\tLoss: 101.593819\n",
"Train Epoch: 85 [33280/60000 (55%)]\tLoss: 101.154228\n",
"Train Epoch: 85 [34560/60000 (58%)]\tLoss: 104.871750\n",
"Train Epoch: 85 [35840/60000 (60%)]\tLoss: 98.918747\n",
"Train Epoch: 85 [37120/60000 (62%)]\tLoss: 98.417130\n",
"Train Epoch: 85 [38400/60000 (64%)]\tLoss: 101.913902\n",
"Train Epoch: 85 [39680/60000 (66%)]\tLoss: 98.600945\n",
"Train Epoch: 85 [40960/60000 (68%)]\tLoss: 101.691345\n",
"Train Epoch: 85 [42240/60000 (70%)]\tLoss: 104.437592\n",
"Train Epoch: 85 [43520/60000 (72%)]\tLoss: 102.557236\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 85 [44800/60000 (75%)]\tLoss: 96.869385\n",
"Train Epoch: 85 [46080/60000 (77%)]\tLoss: 98.523262\n",
"Train Epoch: 85 [47360/60000 (79%)]\tLoss: 99.492783\n",
"Train Epoch: 85 [48640/60000 (81%)]\tLoss: 102.321404\n",
"Train Epoch: 85 [49920/60000 (83%)]\tLoss: 101.098213\n",
"Train Epoch: 85 [51200/60000 (85%)]\tLoss: 99.625763\n",
"Train Epoch: 85 [52480/60000 (87%)]\tLoss: 102.701660\n",
"Train Epoch: 85 [53760/60000 (90%)]\tLoss: 98.839554\n",
"Train Epoch: 85 [55040/60000 (92%)]\tLoss: 97.857910\n",
"Train Epoch: 85 [56320/60000 (94%)]\tLoss: 101.038887\n",
"Train Epoch: 85 [57600/60000 (96%)]\tLoss: 101.173294\n",
"Train Epoch: 85 [58880/60000 (98%)]\tLoss: 104.084969\n",
"====> Epoch: 85 Average loss: 100.8719\n",
"====> Test set loss: 92.9286\n",
"Train Epoch: 86 [0/60000 (0%)]\tLoss: 99.455940\n",
"Train Epoch: 86 [1280/60000 (2%)]\tLoss: 100.615540\n",
"Train Epoch: 86 [2560/60000 (4%)]\tLoss: 101.078560\n",
"Train Epoch: 86 [3840/60000 (6%)]\tLoss: 100.788193\n",
"Train Epoch: 86 [5120/60000 (9%)]\tLoss: 98.796371\n",
"Train Epoch: 86 [6400/60000 (11%)]\tLoss: 100.063507\n",
"Train Epoch: 86 [7680/60000 (13%)]\tLoss: 95.428604\n",
"Train Epoch: 86 [8960/60000 (15%)]\tLoss: 96.803146\n",
"Train Epoch: 86 [10240/60000 (17%)]\tLoss: 101.488190\n",
"Train Epoch: 86 [11520/60000 (19%)]\tLoss: 100.296326\n",
"Train Epoch: 86 [12800/60000 (21%)]\tLoss: 99.782372\n",
"Train Epoch: 86 [14080/60000 (23%)]\tLoss: 101.106873\n",
"Train Epoch: 86 [15360/60000 (26%)]\tLoss: 100.451263\n",
"Train Epoch: 86 [16640/60000 (28%)]\tLoss: 101.779312\n",
"Train Epoch: 86 [17920/60000 (30%)]\tLoss: 99.666176\n",
"Train Epoch: 86 [19200/60000 (32%)]\tLoss: 99.602844\n",
"Train Epoch: 86 [20480/60000 (34%)]\tLoss: 101.633820\n",
"Train Epoch: 86 [21760/60000 (36%)]\tLoss: 100.045845\n",
"Train Epoch: 86 [23040/60000 (38%)]\tLoss: 101.615753\n",
"Train Epoch: 86 [24320/60000 (41%)]\tLoss: 102.339188\n",
"Train Epoch: 86 [25600/60000 (43%)]\tLoss: 100.663818\n",
"Train Epoch: 86 [26880/60000 (45%)]\tLoss: 99.776146\n",
"Train Epoch: 86 [28160/60000 (47%)]\tLoss: 99.665154\n",
"Train Epoch: 86 [29440/60000 (49%)]\tLoss: 103.676468\n",
"Train Epoch: 86 [30720/60000 (51%)]\tLoss: 97.283325\n",
"Train Epoch: 86 [32000/60000 (53%)]\tLoss: 99.790672\n",
"Train Epoch: 86 [33280/60000 (55%)]\tLoss: 102.923920\n",
"Train Epoch: 86 [34560/60000 (58%)]\tLoss: 99.829300\n",
"Train Epoch: 86 [35840/60000 (60%)]\tLoss: 103.393639\n",
"Train Epoch: 86 [37120/60000 (62%)]\tLoss: 105.995300\n",
"Train Epoch: 86 [38400/60000 (64%)]\tLoss: 98.897797\n",
"Train Epoch: 86 [39680/60000 (66%)]\tLoss: 102.629852\n",
"Train Epoch: 86 [40960/60000 (68%)]\tLoss: 97.619667\n",
"Train Epoch: 86 [42240/60000 (70%)]\tLoss: 101.856140\n",
"Train Epoch: 86 [43520/60000 (72%)]\tLoss: 102.537766\n",
"Train Epoch: 86 [44800/60000 (75%)]\tLoss: 102.305138\n",
"Train Epoch: 86 [46080/60000 (77%)]\tLoss: 101.107986\n",
"Train Epoch: 86 [47360/60000 (79%)]\tLoss: 105.128586\n",
"Train Epoch: 86 [48640/60000 (81%)]\tLoss: 102.788986\n",
"Train Epoch: 86 [49920/60000 (83%)]\tLoss: 100.914352\n",
"Train Epoch: 86 [51200/60000 (85%)]\tLoss: 102.179504\n",
"Train Epoch: 86 [52480/60000 (87%)]\tLoss: 101.157700\n",
"Train Epoch: 86 [53760/60000 (90%)]\tLoss: 99.783066\n",
"Train Epoch: 86 [55040/60000 (92%)]\tLoss: 101.454231\n",
"Train Epoch: 86 [56320/60000 (94%)]\tLoss: 101.236710\n",
"Train Epoch: 86 [57600/60000 (96%)]\tLoss: 102.172318\n",
"Train Epoch: 86 [58880/60000 (98%)]\tLoss: 100.324005\n",
"====> Epoch: 86 Average loss: 100.8499\n",
"====> Test set loss: 93.3544\n",
"Train Epoch: 87 [0/60000 (0%)]\tLoss: 99.152901\n",
"Train Epoch: 87 [1280/60000 (2%)]\tLoss: 99.678314\n",
"Train Epoch: 87 [2560/60000 (4%)]\tLoss: 102.401825\n",
"Train Epoch: 87 [3840/60000 (6%)]\tLoss: 98.409523\n",
"Train Epoch: 87 [5120/60000 (9%)]\tLoss: 101.159760\n",
"Train Epoch: 87 [6400/60000 (11%)]\tLoss: 99.528297\n",
"Train Epoch: 87 [7680/60000 (13%)]\tLoss: 103.470016\n",
"Train Epoch: 87 [8960/60000 (15%)]\tLoss: 99.992340\n",
"Train Epoch: 87 [10240/60000 (17%)]\tLoss: 101.494293\n",
"Train Epoch: 87 [11520/60000 (19%)]\tLoss: 101.592972\n",
"Train Epoch: 87 [12800/60000 (21%)]\tLoss: 96.474594\n",
"Train Epoch: 87 [14080/60000 (23%)]\tLoss: 101.678482\n",
"Train Epoch: 87 [15360/60000 (26%)]\tLoss: 102.665367\n",
"Train Epoch: 87 [16640/60000 (28%)]\tLoss: 101.242004\n",
"Train Epoch: 87 [17920/60000 (30%)]\tLoss: 103.259918\n",
"Train Epoch: 87 [19200/60000 (32%)]\tLoss: 96.801895\n",
"Train Epoch: 87 [20480/60000 (34%)]\tLoss: 101.874634\n",
"Train Epoch: 87 [21760/60000 (36%)]\tLoss: 101.580391\n",
"Train Epoch: 87 [23040/60000 (38%)]\tLoss: 101.024994\n",
"Train Epoch: 87 [24320/60000 (41%)]\tLoss: 101.553978\n",
"Train Epoch: 87 [25600/60000 (43%)]\tLoss: 103.544083\n",
"Train Epoch: 87 [26880/60000 (45%)]\tLoss: 102.441818\n",
"Train Epoch: 87 [28160/60000 (47%)]\tLoss: 99.076469\n",
"Train Epoch: 87 [29440/60000 (49%)]\tLoss: 101.121376\n",
"Train Epoch: 87 [30720/60000 (51%)]\tLoss: 100.930923\n",
"Train Epoch: 87 [32000/60000 (53%)]\tLoss: 100.717163\n",
"Train Epoch: 87 [33280/60000 (55%)]\tLoss: 103.054527\n",
"Train Epoch: 87 [34560/60000 (58%)]\tLoss: 100.329910\n",
"Train Epoch: 87 [35840/60000 (60%)]\tLoss: 101.513542\n",
"Train Epoch: 87 [37120/60000 (62%)]\tLoss: 105.810371\n",
"Train Epoch: 87 [38400/60000 (64%)]\tLoss: 101.672287\n",
"Train Epoch: 87 [39680/60000 (66%)]\tLoss: 95.233452\n",
"Train Epoch: 87 [40960/60000 (68%)]\tLoss: 102.791550\n",
"Train Epoch: 87 [42240/60000 (70%)]\tLoss: 100.072472\n",
"Train Epoch: 87 [43520/60000 (72%)]\tLoss: 99.804947\n",
"Train Epoch: 87 [44800/60000 (75%)]\tLoss: 101.575600\n",
"Train Epoch: 87 [46080/60000 (77%)]\tLoss: 99.423782\n",
"Train Epoch: 87 [47360/60000 (79%)]\tLoss: 100.177124\n",
"Train Epoch: 87 [48640/60000 (81%)]\tLoss: 100.571556\n",
"Train Epoch: 87 [49920/60000 (83%)]\tLoss: 102.255508\n",
"Train Epoch: 87 [51200/60000 (85%)]\tLoss: 101.702682\n",
"Train Epoch: 87 [52480/60000 (87%)]\tLoss: 97.150711\n",
"Train Epoch: 87 [53760/60000 (90%)]\tLoss: 99.219193\n",
"Train Epoch: 87 [55040/60000 (92%)]\tLoss: 103.201599\n",
"Train Epoch: 87 [56320/60000 (94%)]\tLoss: 100.677765\n",
"Train Epoch: 87 [57600/60000 (96%)]\tLoss: 103.527771\n",
"Train Epoch: 87 [58880/60000 (98%)]\tLoss: 99.878899\n",
"====> Epoch: 87 Average loss: 100.8714\n",
"====> Test set loss: 92.6644\n",
"Train Epoch: 88 [0/60000 (0%)]\tLoss: 101.267166\n",
"Train Epoch: 88 [1280/60000 (2%)]\tLoss: 99.847824\n",
"Train Epoch: 88 [2560/60000 (4%)]\tLoss: 98.556915\n",
"Train Epoch: 88 [3840/60000 (6%)]\tLoss: 97.645798\n",
"Train Epoch: 88 [5120/60000 (9%)]\tLoss: 102.612061\n",
"Train Epoch: 88 [6400/60000 (11%)]\tLoss: 100.043404\n",
"Train Epoch: 88 [7680/60000 (13%)]\tLoss: 97.735725\n",
"Train Epoch: 88 [8960/60000 (15%)]\tLoss: 102.815147\n",
"Train Epoch: 88 [10240/60000 (17%)]\tLoss: 100.892097\n",
"Train Epoch: 88 [11520/60000 (19%)]\tLoss: 99.884750\n",
"Train Epoch: 88 [12800/60000 (21%)]\tLoss: 100.334198\n",
"Train Epoch: 88 [14080/60000 (23%)]\tLoss: 98.954262\n",
"Train Epoch: 88 [15360/60000 (26%)]\tLoss: 101.316132\n",
"Train Epoch: 88 [16640/60000 (28%)]\tLoss: 95.795197\n",
"Train Epoch: 88 [17920/60000 (30%)]\tLoss: 102.540802\n",
"Train Epoch: 88 [19200/60000 (32%)]\tLoss: 101.576683\n",
"Train Epoch: 88 [20480/60000 (34%)]\tLoss: 98.323715\n",
"Train Epoch: 88 [21760/60000 (36%)]\tLoss: 96.849457\n",
"Train Epoch: 88 [23040/60000 (38%)]\tLoss: 103.597099\n",
"Train Epoch: 88 [24320/60000 (41%)]\tLoss: 102.009750\n",
"Train Epoch: 88 [25600/60000 (43%)]\tLoss: 101.198013\n",
"Train Epoch: 88 [26880/60000 (45%)]\tLoss: 97.508102\n",
"Train Epoch: 88 [28160/60000 (47%)]\tLoss: 101.033600\n",
"Train Epoch: 88 [29440/60000 (49%)]\tLoss: 102.838516\n",
"Train Epoch: 88 [30720/60000 (51%)]\tLoss: 101.143791\n",
"Train Epoch: 88 [32000/60000 (53%)]\tLoss: 100.402206\n",
"Train Epoch: 88 [33280/60000 (55%)]\tLoss: 101.588516\n",
"Train Epoch: 88 [34560/60000 (58%)]\tLoss: 100.839882\n",
"Train Epoch: 88 [35840/60000 (60%)]\tLoss: 106.343468\n",
"Train Epoch: 88 [37120/60000 (62%)]\tLoss: 101.696022\n",
"Train Epoch: 88 [38400/60000 (64%)]\tLoss: 101.592438\n",
"Train Epoch: 88 [39680/60000 (66%)]\tLoss: 100.118195\n",
"Train Epoch: 88 [40960/60000 (68%)]\tLoss: 99.819595\n",
"Train Epoch: 88 [42240/60000 (70%)]\tLoss: 99.363190\n",
"Train Epoch: 88 [43520/60000 (72%)]\tLoss: 97.379974\n",
"Train Epoch: 88 [44800/60000 (75%)]\tLoss: 101.724411\n",
"Train Epoch: 88 [46080/60000 (77%)]\tLoss: 103.540939\n",
"Train Epoch: 88 [47360/60000 (79%)]\tLoss: 104.953522\n",
"Train Epoch: 88 [48640/60000 (81%)]\tLoss: 101.572830\n",
"Train Epoch: 88 [49920/60000 (83%)]\tLoss: 98.042572\n",
"Train Epoch: 88 [51200/60000 (85%)]\tLoss: 98.617195\n",
"Train Epoch: 88 [52480/60000 (87%)]\tLoss: 102.298996\n",
"Train Epoch: 88 [53760/60000 (90%)]\tLoss: 101.475327\n",
"Train Epoch: 88 [55040/60000 (92%)]\tLoss: 102.843674\n",
"Train Epoch: 88 [56320/60000 (94%)]\tLoss: 100.247261\n",
"Train Epoch: 88 [57600/60000 (96%)]\tLoss: 101.746681\n",
"Train Epoch: 88 [58880/60000 (98%)]\tLoss: 100.020325\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"====> Epoch: 88 Average loss: 100.8025\n",
"====> Test set loss: 93.1015\n",
"Train Epoch: 89 [0/60000 (0%)]\tLoss: 100.347435\n",
"Train Epoch: 89 [1280/60000 (2%)]\tLoss: 102.214142\n",
"Train Epoch: 89 [2560/60000 (4%)]\tLoss: 97.849228\n",
"Train Epoch: 89 [3840/60000 (6%)]\tLoss: 99.858505\n",
"Train Epoch: 89 [5120/60000 (9%)]\tLoss: 100.707977\n",
"Train Epoch: 89 [6400/60000 (11%)]\tLoss: 102.564552\n",
"Train Epoch: 89 [7680/60000 (13%)]\tLoss: 95.920273\n",
"Train Epoch: 89 [8960/60000 (15%)]\tLoss: 97.275589\n",
"Train Epoch: 89 [10240/60000 (17%)]\tLoss: 101.262306\n",
"Train Epoch: 89 [11520/60000 (19%)]\tLoss: 103.973785\n",
"Train Epoch: 89 [12800/60000 (21%)]\tLoss: 101.732101\n",
"Train Epoch: 89 [14080/60000 (23%)]\tLoss: 104.786758\n",
"Train Epoch: 89 [15360/60000 (26%)]\tLoss: 98.337158\n",
"Train Epoch: 89 [16640/60000 (28%)]\tLoss: 96.946396\n",
"Train Epoch: 89 [17920/60000 (30%)]\tLoss: 99.900009\n",
"Train Epoch: 89 [19200/60000 (32%)]\tLoss: 103.294647\n",
"Train Epoch: 89 [20480/60000 (34%)]\tLoss: 101.200424\n",
"Train Epoch: 89 [21760/60000 (36%)]\tLoss: 99.625336\n",
"Train Epoch: 89 [23040/60000 (38%)]\tLoss: 100.584419\n",
"Train Epoch: 89 [24320/60000 (41%)]\tLoss: 100.958710\n",
"Train Epoch: 89 [25600/60000 (43%)]\tLoss: 95.893616\n",
"Train Epoch: 89 [26880/60000 (45%)]\tLoss: 99.107330\n",
"Train Epoch: 89 [28160/60000 (47%)]\tLoss: 104.080368\n",
"Train Epoch: 89 [29440/60000 (49%)]\tLoss: 102.120575\n",
"Train Epoch: 89 [30720/60000 (51%)]\tLoss: 99.759521\n",
"Train Epoch: 89 [32000/60000 (53%)]\tLoss: 99.362228\n",
"Train Epoch: 89 [33280/60000 (55%)]\tLoss: 100.868309\n",
"Train Epoch: 89 [34560/60000 (58%)]\tLoss: 103.373016\n",
"Train Epoch: 89 [35840/60000 (60%)]\tLoss: 102.908699\n",
"Train Epoch: 89 [37120/60000 (62%)]\tLoss: 103.670609\n",
"Train Epoch: 89 [38400/60000 (64%)]\tLoss: 100.600815\n",
"Train Epoch: 89 [39680/60000 (66%)]\tLoss: 100.634964\n",
"Train Epoch: 89 [40960/60000 (68%)]\tLoss: 101.948479\n",
"Train Epoch: 89 [42240/60000 (70%)]\tLoss: 100.011139\n",
"Train Epoch: 89 [43520/60000 (72%)]\tLoss: 102.794518\n",
"Train Epoch: 89 [44800/60000 (75%)]\tLoss: 101.454430\n",
"Train Epoch: 89 [46080/60000 (77%)]\tLoss: 102.067383\n",
"Train Epoch: 89 [47360/60000 (79%)]\tLoss: 101.680023\n",
"Train Epoch: 89 [48640/60000 (81%)]\tLoss: 98.005257\n",
"Train Epoch: 89 [49920/60000 (83%)]\tLoss: 97.902596\n",
"Train Epoch: 89 [51200/60000 (85%)]\tLoss: 101.365097\n",
"Train Epoch: 89 [52480/60000 (87%)]\tLoss: 98.624382\n",
"Train Epoch: 89 [53760/60000 (90%)]\tLoss: 98.616547\n",
"Train Epoch: 89 [55040/60000 (92%)]\tLoss: 103.704224\n",
"Train Epoch: 89 [56320/60000 (94%)]\tLoss: 101.322647\n",
"Train Epoch: 89 [57600/60000 (96%)]\tLoss: 97.866302\n",
"Train Epoch: 89 [58880/60000 (98%)]\tLoss: 99.970642\n",
"====> Epoch: 89 Average loss: 100.7940\n",
"====> Test set loss: 93.1351\n",
"Train Epoch: 90 [0/60000 (0%)]\tLoss: 102.205254\n",
"Train Epoch: 90 [1280/60000 (2%)]\tLoss: 100.394318\n",
"Train Epoch: 90 [2560/60000 (4%)]\tLoss: 99.318153\n",
"Train Epoch: 90 [3840/60000 (6%)]\tLoss: 100.190628\n",
"Train Epoch: 90 [5120/60000 (9%)]\tLoss: 97.065865\n",
"Train Epoch: 90 [6400/60000 (11%)]\tLoss: 96.137840\n",
"Train Epoch: 90 [7680/60000 (13%)]\tLoss: 102.291451\n",
"Train Epoch: 90 [8960/60000 (15%)]\tLoss: 103.080360\n",
"Train Epoch: 90 [10240/60000 (17%)]\tLoss: 93.329689\n",
"Train Epoch: 90 [11520/60000 (19%)]\tLoss: 100.405121\n",
"Train Epoch: 90 [12800/60000 (21%)]\tLoss: 100.888969\n",
"Train Epoch: 90 [14080/60000 (23%)]\tLoss: 104.131531\n",
"Train Epoch: 90 [15360/60000 (26%)]\tLoss: 104.489204\n",
"Train Epoch: 90 [16640/60000 (28%)]\tLoss: 100.656693\n",
"Train Epoch: 90 [17920/60000 (30%)]\tLoss: 101.363770\n",
"Train Epoch: 90 [19200/60000 (32%)]\tLoss: 99.122704\n",
"Train Epoch: 90 [20480/60000 (34%)]\tLoss: 102.939697\n",
"Train Epoch: 90 [21760/60000 (36%)]\tLoss: 104.152817\n",
"Train Epoch: 90 [23040/60000 (38%)]\tLoss: 101.211693\n",
"Train Epoch: 90 [24320/60000 (41%)]\tLoss: 104.015656\n",
"Train Epoch: 90 [25600/60000 (43%)]\tLoss: 103.248581\n",
"Train Epoch: 90 [26880/60000 (45%)]\tLoss: 101.931892\n",
"Train Epoch: 90 [28160/60000 (47%)]\tLoss: 101.603645\n",
"Train Epoch: 90 [29440/60000 (49%)]\tLoss: 104.097008\n",
"Train Epoch: 90 [30720/60000 (51%)]\tLoss: 100.509132\n",
"Train Epoch: 90 [32000/60000 (53%)]\tLoss: 103.193909\n",
"Train Epoch: 90 [33280/60000 (55%)]\tLoss: 103.558243\n",
"Train Epoch: 90 [34560/60000 (58%)]\tLoss: 102.311081\n",
"Train Epoch: 90 [35840/60000 (60%)]\tLoss: 98.988983\n",
"Train Epoch: 90 [37120/60000 (62%)]\tLoss: 99.090309\n",
"Train Epoch: 90 [38400/60000 (64%)]\tLoss: 103.556274\n",
"Train Epoch: 90 [39680/60000 (66%)]\tLoss: 99.159439\n",
"Train Epoch: 90 [40960/60000 (68%)]\tLoss: 99.400101\n",
"Train Epoch: 90 [42240/60000 (70%)]\tLoss: 102.358940\n",
"Train Epoch: 90 [43520/60000 (72%)]\tLoss: 98.767853\n",
"Train Epoch: 90 [44800/60000 (75%)]\tLoss: 100.663849\n",
"Train Epoch: 90 [46080/60000 (77%)]\tLoss: 99.417007\n",
"Train Epoch: 90 [47360/60000 (79%)]\tLoss: 104.553329\n",
"Train Epoch: 90 [48640/60000 (81%)]\tLoss: 103.642799\n",
"Train Epoch: 90 [49920/60000 (83%)]\tLoss: 99.105515\n",
"Train Epoch: 90 [51200/60000 (85%)]\tLoss: 101.056877\n",
"Train Epoch: 90 [52480/60000 (87%)]\tLoss: 102.473816\n",
"Train Epoch: 90 [53760/60000 (90%)]\tLoss: 102.338943\n",
"Train Epoch: 90 [55040/60000 (92%)]\tLoss: 101.793938\n",
"Train Epoch: 90 [56320/60000 (94%)]\tLoss: 103.116982\n",
"Train Epoch: 90 [57600/60000 (96%)]\tLoss: 102.897202\n",
"Train Epoch: 90 [58880/60000 (98%)]\tLoss: 99.883438\n",
"====> Epoch: 90 Average loss: 100.7999\n",
"====> Test set loss: 92.6915\n",
"Train Epoch: 91 [0/60000 (0%)]\tLoss: 104.271904\n",
"Train Epoch: 91 [1280/60000 (2%)]\tLoss: 98.297218\n",
"Train Epoch: 91 [2560/60000 (4%)]\tLoss: 100.189476\n",
"Train Epoch: 91 [3840/60000 (6%)]\tLoss: 101.024101\n",
"Train Epoch: 91 [5120/60000 (9%)]\tLoss: 100.307076\n",
"Train Epoch: 91 [6400/60000 (11%)]\tLoss: 99.579926\n",
"Train Epoch: 91 [7680/60000 (13%)]\tLoss: 101.521194\n",
"Train Epoch: 91 [8960/60000 (15%)]\tLoss: 106.800423\n",
"Train Epoch: 91 [10240/60000 (17%)]\tLoss: 101.601868\n",
"Train Epoch: 91 [11520/60000 (19%)]\tLoss: 101.472763\n",
"Train Epoch: 91 [12800/60000 (21%)]\tLoss: 102.277122\n",
"Train Epoch: 91 [14080/60000 (23%)]\tLoss: 103.384949\n",
"Train Epoch: 91 [15360/60000 (26%)]\tLoss: 101.479347\n",
"Train Epoch: 91 [16640/60000 (28%)]\tLoss: 97.785919\n",
"Train Epoch: 91 [17920/60000 (30%)]\tLoss: 102.452103\n",
"Train Epoch: 91 [19200/60000 (32%)]\tLoss: 98.979630\n",
"Train Epoch: 91 [20480/60000 (34%)]\tLoss: 98.856186\n",
"Train Epoch: 91 [21760/60000 (36%)]\tLoss: 101.198250\n",
"Train Epoch: 91 [23040/60000 (38%)]\tLoss: 100.412292\n",
"Train Epoch: 91 [24320/60000 (41%)]\tLoss: 101.467010\n",
"Train Epoch: 91 [25600/60000 (43%)]\tLoss: 100.724266\n",
"Train Epoch: 91 [26880/60000 (45%)]\tLoss: 97.127579\n",
"Train Epoch: 91 [28160/60000 (47%)]\tLoss: 97.630821\n",
"Train Epoch: 91 [29440/60000 (49%)]\tLoss: 100.483627\n",
"Train Epoch: 91 [30720/60000 (51%)]\tLoss: 102.366165\n",
"Train Epoch: 91 [32000/60000 (53%)]\tLoss: 104.358536\n",
"Train Epoch: 91 [33280/60000 (55%)]\tLoss: 100.224281\n",
"Train Epoch: 91 [34560/60000 (58%)]\tLoss: 101.624741\n",
"Train Epoch: 91 [35840/60000 (60%)]\tLoss: 99.972061\n",
"Train Epoch: 91 [37120/60000 (62%)]\tLoss: 100.141937\n",
"Train Epoch: 91 [38400/60000 (64%)]\tLoss: 102.975174\n",
"Train Epoch: 91 [39680/60000 (66%)]\tLoss: 101.848885\n",
"Train Epoch: 91 [40960/60000 (68%)]\tLoss: 101.046219\n",
"Train Epoch: 91 [42240/60000 (70%)]\tLoss: 103.211975\n",
"Train Epoch: 91 [43520/60000 (72%)]\tLoss: 100.564674\n",
"Train Epoch: 91 [44800/60000 (75%)]\tLoss: 102.813911\n",
"Train Epoch: 91 [46080/60000 (77%)]\tLoss: 100.733963\n",
"Train Epoch: 91 [47360/60000 (79%)]\tLoss: 97.988434\n",
"Train Epoch: 91 [48640/60000 (81%)]\tLoss: 99.126991\n",
"Train Epoch: 91 [49920/60000 (83%)]\tLoss: 100.959183\n",
"Train Epoch: 91 [51200/60000 (85%)]\tLoss: 102.755577\n",
"Train Epoch: 91 [52480/60000 (87%)]\tLoss: 104.318016\n",
"Train Epoch: 91 [53760/60000 (90%)]\tLoss: 102.609138\n",
"Train Epoch: 91 [55040/60000 (92%)]\tLoss: 99.565659\n",
"Train Epoch: 91 [56320/60000 (94%)]\tLoss: 98.792450\n",
"Train Epoch: 91 [57600/60000 (96%)]\tLoss: 103.065918\n",
"Train Epoch: 91 [58880/60000 (98%)]\tLoss: 102.141205\n",
"====> Epoch: 91 Average loss: 100.7723\n",
"====> Test set loss: 92.7548\n",
"Train Epoch: 92 [0/60000 (0%)]\tLoss: 99.955238\n",
"Train Epoch: 92 [1280/60000 (2%)]\tLoss: 103.238724\n",
"Train Epoch: 92 [2560/60000 (4%)]\tLoss: 104.626785\n",
"Train Epoch: 92 [3840/60000 (6%)]\tLoss: 95.852066\n",
"Train Epoch: 92 [5120/60000 (9%)]\tLoss: 101.524345\n",
"Train Epoch: 92 [6400/60000 (11%)]\tLoss: 99.531708\n",
"Train Epoch: 92 [7680/60000 (13%)]\tLoss: 102.165680\n",
"Train Epoch: 92 [8960/60000 (15%)]\tLoss: 100.343529\n",
"Train Epoch: 92 [10240/60000 (17%)]\tLoss: 100.507545\n",
"Train Epoch: 92 [11520/60000 (19%)]\tLoss: 103.122482\n",
"Train Epoch: 92 [12800/60000 (21%)]\tLoss: 98.003975\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 92 [14080/60000 (23%)]\tLoss: 100.775528\n",
"Train Epoch: 92 [15360/60000 (26%)]\tLoss: 95.903046\n",
"Train Epoch: 92 [16640/60000 (28%)]\tLoss: 102.479675\n",
"Train Epoch: 92 [17920/60000 (30%)]\tLoss: 102.690979\n",
"Train Epoch: 92 [19200/60000 (32%)]\tLoss: 100.661118\n",
"Train Epoch: 92 [20480/60000 (34%)]\tLoss: 99.193985\n",
"Train Epoch: 92 [21760/60000 (36%)]\tLoss: 100.165802\n",
"Train Epoch: 92 [23040/60000 (38%)]\tLoss: 101.879318\n",
"Train Epoch: 92 [24320/60000 (41%)]\tLoss: 101.143555\n",
"Train Epoch: 92 [25600/60000 (43%)]\tLoss: 98.089470\n",
"Train Epoch: 92 [26880/60000 (45%)]\tLoss: 102.957603\n",
"Train Epoch: 92 [28160/60000 (47%)]\tLoss: 104.664352\n",
"Train Epoch: 92 [29440/60000 (49%)]\tLoss: 96.890305\n",
"Train Epoch: 92 [30720/60000 (51%)]\tLoss: 99.194725\n",
"Train Epoch: 92 [32000/60000 (53%)]\tLoss: 94.984558\n",
"Train Epoch: 92 [33280/60000 (55%)]\tLoss: 100.658173\n",
"Train Epoch: 92 [34560/60000 (58%)]\tLoss: 98.642830\n",
"Train Epoch: 92 [35840/60000 (60%)]\tLoss: 96.833572\n",
"Train Epoch: 92 [37120/60000 (62%)]\tLoss: 98.365189\n",
"Train Epoch: 92 [38400/60000 (64%)]\tLoss: 104.035599\n",
"Train Epoch: 92 [39680/60000 (66%)]\tLoss: 98.920959\n",
"Train Epoch: 92 [40960/60000 (68%)]\tLoss: 100.346252\n",
"Train Epoch: 92 [42240/60000 (70%)]\tLoss: 100.626030\n",
"Train Epoch: 92 [43520/60000 (72%)]\tLoss: 103.308136\n",
"Train Epoch: 92 [44800/60000 (75%)]\tLoss: 100.138542\n",
"Train Epoch: 92 [46080/60000 (77%)]\tLoss: 101.494644\n",
"Train Epoch: 92 [47360/60000 (79%)]\tLoss: 98.070824\n",
"Train Epoch: 92 [48640/60000 (81%)]\tLoss: 98.648293\n",
"Train Epoch: 92 [49920/60000 (83%)]\tLoss: 102.415070\n",
"Train Epoch: 92 [51200/60000 (85%)]\tLoss: 102.620163\n",
"Train Epoch: 92 [52480/60000 (87%)]\tLoss: 101.873779\n",
"Train Epoch: 92 [53760/60000 (90%)]\tLoss: 99.544273\n",
"Train Epoch: 92 [55040/60000 (92%)]\tLoss: 102.483376\n",
"Train Epoch: 92 [56320/60000 (94%)]\tLoss: 102.202927\n",
"Train Epoch: 92 [57600/60000 (96%)]\tLoss: 103.739273\n",
"Train Epoch: 92 [58880/60000 (98%)]\tLoss: 97.519333\n",
"====> Epoch: 92 Average loss: 100.7686\n",
"====> Test set loss: 92.3582\n",
"Train Epoch: 93 [0/60000 (0%)]\tLoss: 100.196327\n",
"Train Epoch: 93 [1280/60000 (2%)]\tLoss: 102.125145\n",
"Train Epoch: 93 [2560/60000 (4%)]\tLoss: 102.626816\n",
"Train Epoch: 93 [3840/60000 (6%)]\tLoss: 97.915115\n",
"Train Epoch: 93 [5120/60000 (9%)]\tLoss: 104.893890\n",
"Train Epoch: 93 [6400/60000 (11%)]\tLoss: 99.907951\n",
"Train Epoch: 93 [7680/60000 (13%)]\tLoss: 99.658340\n",
"Train Epoch: 93 [8960/60000 (15%)]\tLoss: 101.241882\n",
"Train Epoch: 93 [10240/60000 (17%)]\tLoss: 99.243530\n",
"Train Epoch: 93 [11520/60000 (19%)]\tLoss: 102.950012\n",
"Train Epoch: 93 [12800/60000 (21%)]\tLoss: 100.261398\n",
"Train Epoch: 93 [14080/60000 (23%)]\tLoss: 100.327179\n",
"Train Epoch: 93 [15360/60000 (26%)]\tLoss: 102.529137\n",
"Train Epoch: 93 [16640/60000 (28%)]\tLoss: 100.844803\n",
"Train Epoch: 93 [17920/60000 (30%)]\tLoss: 101.579422\n",
"Train Epoch: 93 [19200/60000 (32%)]\tLoss: 101.909790\n",
"Train Epoch: 93 [20480/60000 (34%)]\tLoss: 99.768974\n",
"Train Epoch: 93 [21760/60000 (36%)]\tLoss: 101.933975\n",
"Train Epoch: 93 [23040/60000 (38%)]\tLoss: 102.497467\n",
"Train Epoch: 93 [24320/60000 (41%)]\tLoss: 99.187805\n",
"Train Epoch: 93 [25600/60000 (43%)]\tLoss: 98.972168\n",
"Train Epoch: 93 [26880/60000 (45%)]\tLoss: 101.243240\n",
"Train Epoch: 93 [28160/60000 (47%)]\tLoss: 99.305794\n",
"Train Epoch: 93 [29440/60000 (49%)]\tLoss: 103.020523\n",
"Train Epoch: 93 [30720/60000 (51%)]\tLoss: 99.121895\n",
"Train Epoch: 93 [32000/60000 (53%)]\tLoss: 101.902130\n",
"Train Epoch: 93 [33280/60000 (55%)]\tLoss: 100.556305\n",
"Train Epoch: 93 [34560/60000 (58%)]\tLoss: 100.048187\n",
"Train Epoch: 93 [35840/60000 (60%)]\tLoss: 99.080612\n",
"Train Epoch: 93 [37120/60000 (62%)]\tLoss: 101.522346\n",
"Train Epoch: 93 [38400/60000 (64%)]\tLoss: 101.252792\n",
"Train Epoch: 93 [39680/60000 (66%)]\tLoss: 102.749718\n",
"Train Epoch: 93 [40960/60000 (68%)]\tLoss: 101.691666\n",
"Train Epoch: 93 [42240/60000 (70%)]\tLoss: 101.332207\n",
"Train Epoch: 93 [43520/60000 (72%)]\tLoss: 98.307297\n",
"Train Epoch: 93 [44800/60000 (75%)]\tLoss: 101.613457\n",
"Train Epoch: 93 [46080/60000 (77%)]\tLoss: 101.250572\n",
"Train Epoch: 93 [47360/60000 (79%)]\tLoss: 96.813492\n",
"Train Epoch: 93 [48640/60000 (81%)]\tLoss: 98.322273\n",
"Train Epoch: 93 [49920/60000 (83%)]\tLoss: 99.805977\n",
"Train Epoch: 93 [51200/60000 (85%)]\tLoss: 99.297226\n",
"Train Epoch: 93 [52480/60000 (87%)]\tLoss: 104.256454\n",
"Train Epoch: 93 [53760/60000 (90%)]\tLoss: 100.881721\n",
"Train Epoch: 93 [55040/60000 (92%)]\tLoss: 99.187737\n",
"Train Epoch: 93 [56320/60000 (94%)]\tLoss: 100.453857\n",
"Train Epoch: 93 [57600/60000 (96%)]\tLoss: 102.270020\n",
"Train Epoch: 93 [58880/60000 (98%)]\tLoss: 101.465775\n",
"====> Epoch: 93 Average loss: 100.7646\n",
"====> Test set loss: 92.6767\n",
"Train Epoch: 94 [0/60000 (0%)]\tLoss: 98.185875\n",
"Train Epoch: 94 [1280/60000 (2%)]\tLoss: 100.572258\n",
"Train Epoch: 94 [2560/60000 (4%)]\tLoss: 101.071747\n",
"Train Epoch: 94 [3840/60000 (6%)]\tLoss: 103.280807\n",
"Train Epoch: 94 [5120/60000 (9%)]\tLoss: 99.785301\n",
"Train Epoch: 94 [6400/60000 (11%)]\tLoss: 98.742004\n",
"Train Epoch: 94 [7680/60000 (13%)]\tLoss: 105.775223\n",
"Train Epoch: 94 [8960/60000 (15%)]\tLoss: 102.729797\n",
"Train Epoch: 94 [10240/60000 (17%)]\tLoss: 98.760429\n",
"Train Epoch: 94 [11520/60000 (19%)]\tLoss: 98.987633\n",
"Train Epoch: 94 [12800/60000 (21%)]\tLoss: 100.679779\n",
"Train Epoch: 94 [14080/60000 (23%)]\tLoss: 103.379349\n",
"Train Epoch: 94 [15360/60000 (26%)]\tLoss: 99.218323\n",
"Train Epoch: 94 [16640/60000 (28%)]\tLoss: 101.008217\n",
"Train Epoch: 94 [17920/60000 (30%)]\tLoss: 99.197426\n",
"Train Epoch: 94 [19200/60000 (32%)]\tLoss: 98.724060\n",
"Train Epoch: 94 [20480/60000 (34%)]\tLoss: 103.443657\n",
"Train Epoch: 94 [21760/60000 (36%)]\tLoss: 99.141159\n",
"Train Epoch: 94 [23040/60000 (38%)]\tLoss: 98.262405\n",
"Train Epoch: 94 [24320/60000 (41%)]\tLoss: 101.066154\n",
"Train Epoch: 94 [25600/60000 (43%)]\tLoss: 99.003075\n",
"Train Epoch: 94 [26880/60000 (45%)]\tLoss: 101.714218\n",
"Train Epoch: 94 [28160/60000 (47%)]\tLoss: 97.885574\n",
"Train Epoch: 94 [29440/60000 (49%)]\tLoss: 100.779564\n",
"Train Epoch: 94 [30720/60000 (51%)]\tLoss: 102.516365\n",
"Train Epoch: 94 [32000/60000 (53%)]\tLoss: 100.849701\n",
"Train Epoch: 94 [33280/60000 (55%)]\tLoss: 104.338120\n",
"Train Epoch: 94 [34560/60000 (58%)]\tLoss: 101.131332\n",
"Train Epoch: 94 [35840/60000 (60%)]\tLoss: 102.199600\n",
"Train Epoch: 94 [37120/60000 (62%)]\tLoss: 102.427010\n",
"Train Epoch: 94 [38400/60000 (64%)]\tLoss: 105.411293\n",
"Train Epoch: 94 [39680/60000 (66%)]\tLoss: 103.783127\n",
"Train Epoch: 94 [40960/60000 (68%)]\tLoss: 106.542137\n",
"Train Epoch: 94 [42240/60000 (70%)]\tLoss: 101.316299\n",
"Train Epoch: 94 [43520/60000 (72%)]\tLoss: 97.033798\n",
"Train Epoch: 94 [44800/60000 (75%)]\tLoss: 98.399178\n",
"Train Epoch: 94 [46080/60000 (77%)]\tLoss: 103.580704\n",
"Train Epoch: 94 [47360/60000 (79%)]\tLoss: 100.880173\n",
"Train Epoch: 94 [48640/60000 (81%)]\tLoss: 100.785355\n",
"Train Epoch: 94 [49920/60000 (83%)]\tLoss: 101.959152\n",
"Train Epoch: 94 [51200/60000 (85%)]\tLoss: 99.212753\n",
"Train Epoch: 94 [52480/60000 (87%)]\tLoss: 100.480507\n",
"Train Epoch: 94 [53760/60000 (90%)]\tLoss: 100.982590\n",
"Train Epoch: 94 [55040/60000 (92%)]\tLoss: 102.643585\n",
"Train Epoch: 94 [56320/60000 (94%)]\tLoss: 99.707932\n",
"Train Epoch: 94 [57600/60000 (96%)]\tLoss: 100.611305\n",
"Train Epoch: 94 [58880/60000 (98%)]\tLoss: 100.199081\n",
"====> Epoch: 94 Average loss: 100.7306\n",
"====> Test set loss: 92.5706\n",
"Train Epoch: 95 [0/60000 (0%)]\tLoss: 102.419510\n",
"Train Epoch: 95 [1280/60000 (2%)]\tLoss: 102.156525\n",
"Train Epoch: 95 [2560/60000 (4%)]\tLoss: 101.142822\n",
"Train Epoch: 95 [3840/60000 (6%)]\tLoss: 103.994202\n",
"Train Epoch: 95 [5120/60000 (9%)]\tLoss: 99.338783\n",
"Train Epoch: 95 [6400/60000 (11%)]\tLoss: 95.125999\n",
"Train Epoch: 95 [7680/60000 (13%)]\tLoss: 101.097778\n",
"Train Epoch: 95 [8960/60000 (15%)]\tLoss: 98.782150\n",
"Train Epoch: 95 [10240/60000 (17%)]\tLoss: 102.082314\n",
"Train Epoch: 95 [11520/60000 (19%)]\tLoss: 101.890358\n",
"Train Epoch: 95 [12800/60000 (21%)]\tLoss: 103.495804\n",
"Train Epoch: 95 [14080/60000 (23%)]\tLoss: 98.480087\n",
"Train Epoch: 95 [15360/60000 (26%)]\tLoss: 101.389069\n",
"Train Epoch: 95 [16640/60000 (28%)]\tLoss: 99.736923\n",
"Train Epoch: 95 [17920/60000 (30%)]\tLoss: 106.237244\n",
"Train Epoch: 95 [19200/60000 (32%)]\tLoss: 100.332306\n",
"Train Epoch: 95 [20480/60000 (34%)]\tLoss: 101.510895\n",
"Train Epoch: 95 [21760/60000 (36%)]\tLoss: 100.372498\n",
"Train Epoch: 95 [23040/60000 (38%)]\tLoss: 98.178322\n",
"Train Epoch: 95 [24320/60000 (41%)]\tLoss: 101.983505\n",
"Train Epoch: 95 [25600/60000 (43%)]\tLoss: 104.862823\n",
"Train Epoch: 95 [26880/60000 (45%)]\tLoss: 98.766434\n",
"Train Epoch: 95 [28160/60000 (47%)]\tLoss: 100.419205\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 95 [29440/60000 (49%)]\tLoss: 100.962524\n",
"Train Epoch: 95 [30720/60000 (51%)]\tLoss: 98.250168\n",
"Train Epoch: 95 [32000/60000 (53%)]\tLoss: 102.225693\n",
"Train Epoch: 95 [33280/60000 (55%)]\tLoss: 101.677368\n",
"Train Epoch: 95 [34560/60000 (58%)]\tLoss: 99.998917\n",
"Train Epoch: 95 [35840/60000 (60%)]\tLoss: 103.289062\n",
"Train Epoch: 95 [37120/60000 (62%)]\tLoss: 100.128876\n",
"Train Epoch: 95 [38400/60000 (64%)]\tLoss: 98.616844\n",
"Train Epoch: 95 [39680/60000 (66%)]\tLoss: 99.565971\n",
"Train Epoch: 95 [40960/60000 (68%)]\tLoss: 99.360321\n",
"Train Epoch: 95 [42240/60000 (70%)]\tLoss: 96.562119\n",
"Train Epoch: 95 [43520/60000 (72%)]\tLoss: 99.354713\n",
"Train Epoch: 95 [44800/60000 (75%)]\tLoss: 101.176781\n",
"Train Epoch: 95 [46080/60000 (77%)]\tLoss: 100.493309\n",
"Train Epoch: 95 [47360/60000 (79%)]\tLoss: 98.321655\n",
"Train Epoch: 95 [48640/60000 (81%)]\tLoss: 102.747833\n",
"Train Epoch: 95 [49920/60000 (83%)]\tLoss: 104.497833\n",
"Train Epoch: 95 [51200/60000 (85%)]\tLoss: 95.674080\n",
"Train Epoch: 95 [52480/60000 (87%)]\tLoss: 102.622322\n",
"Train Epoch: 95 [53760/60000 (90%)]\tLoss: 104.080864\n",
"Train Epoch: 95 [55040/60000 (92%)]\tLoss: 100.438667\n",
"Train Epoch: 95 [56320/60000 (94%)]\tLoss: 101.017090\n",
"Train Epoch: 95 [57600/60000 (96%)]\tLoss: 99.218445\n",
"Train Epoch: 95 [58880/60000 (98%)]\tLoss: 96.847755\n",
"====> Epoch: 95 Average loss: 100.6969\n",
"====> Test set loss: 92.5688\n",
"Train Epoch: 96 [0/60000 (0%)]\tLoss: 99.992859\n",
"Train Epoch: 96 [1280/60000 (2%)]\tLoss: 102.237595\n",
"Train Epoch: 96 [2560/60000 (4%)]\tLoss: 103.437523\n",
"Train Epoch: 96 [3840/60000 (6%)]\tLoss: 98.274529\n",
"Train Epoch: 96 [5120/60000 (9%)]\tLoss: 100.420013\n",
"Train Epoch: 96 [6400/60000 (11%)]\tLoss: 102.287094\n",
"Train Epoch: 96 [7680/60000 (13%)]\tLoss: 100.046631\n",
"Train Epoch: 96 [8960/60000 (15%)]\tLoss: 102.879395\n",
"Train Epoch: 96 [10240/60000 (17%)]\tLoss: 100.287849\n",
"Train Epoch: 96 [11520/60000 (19%)]\tLoss: 99.469513\n",
"Train Epoch: 96 [12800/60000 (21%)]\tLoss: 101.693436\n",
"Train Epoch: 96 [14080/60000 (23%)]\tLoss: 101.634148\n",
"Train Epoch: 96 [15360/60000 (26%)]\tLoss: 102.453949\n",
"Train Epoch: 96 [16640/60000 (28%)]\tLoss: 98.410896\n",
"Train Epoch: 96 [17920/60000 (30%)]\tLoss: 101.917145\n",
"Train Epoch: 96 [19200/60000 (32%)]\tLoss: 104.825386\n",
"Train Epoch: 96 [20480/60000 (34%)]\tLoss: 99.325485\n",
"Train Epoch: 96 [21760/60000 (36%)]\tLoss: 98.159195\n",
"Train Epoch: 96 [23040/60000 (38%)]\tLoss: 99.799492\n",
"Train Epoch: 96 [24320/60000 (41%)]\tLoss: 100.354416\n",
"Train Epoch: 96 [25600/60000 (43%)]\tLoss: 101.978416\n",
"Train Epoch: 96 [26880/60000 (45%)]\tLoss: 99.519920\n",
"Train Epoch: 96 [28160/60000 (47%)]\tLoss: 99.118660\n",
"Train Epoch: 96 [29440/60000 (49%)]\tLoss: 97.913376\n",
"Train Epoch: 96 [30720/60000 (51%)]\tLoss: 98.361649\n",
"Train Epoch: 96 [32000/60000 (53%)]\tLoss: 100.164978\n",
"Train Epoch: 96 [33280/60000 (55%)]\tLoss: 102.196121\n",
"Train Epoch: 96 [34560/60000 (58%)]\tLoss: 98.388184\n",
"Train Epoch: 96 [35840/60000 (60%)]\tLoss: 99.576965\n",
"Train Epoch: 96 [37120/60000 (62%)]\tLoss: 99.186867\n",
"Train Epoch: 96 [38400/60000 (64%)]\tLoss: 99.861626\n",
"Train Epoch: 96 [39680/60000 (66%)]\tLoss: 102.686920\n",
"Train Epoch: 96 [40960/60000 (68%)]\tLoss: 103.697449\n",
"Train Epoch: 96 [42240/60000 (70%)]\tLoss: 100.274017\n",
"Train Epoch: 96 [43520/60000 (72%)]\tLoss: 102.255203\n",
"Train Epoch: 96 [44800/60000 (75%)]\tLoss: 104.561325\n",
"Train Epoch: 96 [46080/60000 (77%)]\tLoss: 102.567741\n",
"Train Epoch: 96 [47360/60000 (79%)]\tLoss: 101.599030\n",
"Train Epoch: 96 [48640/60000 (81%)]\tLoss: 103.155602\n",
"Train Epoch: 96 [49920/60000 (83%)]\tLoss: 100.992020\n",
"Train Epoch: 96 [51200/60000 (85%)]\tLoss: 96.604874\n",
"Train Epoch: 96 [52480/60000 (87%)]\tLoss: 102.373718\n",
"Train Epoch: 96 [53760/60000 (90%)]\tLoss: 101.144943\n",
"Train Epoch: 96 [55040/60000 (92%)]\tLoss: 99.573715\n",
"Train Epoch: 96 [56320/60000 (94%)]\tLoss: 100.590157\n",
"Train Epoch: 96 [57600/60000 (96%)]\tLoss: 101.948517\n",
"Train Epoch: 96 [58880/60000 (98%)]\tLoss: 102.152420\n",
"====> Epoch: 96 Average loss: 100.6745\n",
"====> Test set loss: 93.1330\n",
"Train Epoch: 97 [0/60000 (0%)]\tLoss: 99.898636\n",
"Train Epoch: 97 [1280/60000 (2%)]\tLoss: 102.023972\n",
"Train Epoch: 97 [2560/60000 (4%)]\tLoss: 99.659370\n",
"Train Epoch: 97 [3840/60000 (6%)]\tLoss: 100.227226\n",
"Train Epoch: 97 [5120/60000 (9%)]\tLoss: 99.556564\n",
"Train Epoch: 97 [6400/60000 (11%)]\tLoss: 99.381851\n",
"Train Epoch: 97 [7680/60000 (13%)]\tLoss: 101.960304\n",
"Train Epoch: 97 [8960/60000 (15%)]\tLoss: 99.339531\n",
"Train Epoch: 97 [10240/60000 (17%)]\tLoss: 97.692825\n",
"Train Epoch: 97 [11520/60000 (19%)]\tLoss: 100.656387\n",
"Train Epoch: 97 [12800/60000 (21%)]\tLoss: 100.575874\n",
"Train Epoch: 97 [14080/60000 (23%)]\tLoss: 98.085114\n",
"Train Epoch: 97 [15360/60000 (26%)]\tLoss: 104.943222\n",
"Train Epoch: 97 [16640/60000 (28%)]\tLoss: 101.702194\n",
"Train Epoch: 97 [17920/60000 (30%)]\tLoss: 101.720734\n",
"Train Epoch: 97 [19200/60000 (32%)]\tLoss: 98.587357\n",
"Train Epoch: 97 [20480/60000 (34%)]\tLoss: 97.651253\n",
"Train Epoch: 97 [21760/60000 (36%)]\tLoss: 104.619171\n",
"Train Epoch: 97 [23040/60000 (38%)]\tLoss: 98.876175\n",
"Train Epoch: 97 [24320/60000 (41%)]\tLoss: 101.358490\n",
"Train Epoch: 97 [25600/60000 (43%)]\tLoss: 101.344254\n",
"Train Epoch: 97 [26880/60000 (45%)]\tLoss: 102.687668\n",
"Train Epoch: 97 [28160/60000 (47%)]\tLoss: 100.643555\n",
"Train Epoch: 97 [29440/60000 (49%)]\tLoss: 100.653175\n",
"Train Epoch: 97 [30720/60000 (51%)]\tLoss: 104.938347\n",
"Train Epoch: 97 [32000/60000 (53%)]\tLoss: 104.836052\n",
"Train Epoch: 97 [33280/60000 (55%)]\tLoss: 98.522575\n",
"Train Epoch: 97 [34560/60000 (58%)]\tLoss: 99.355392\n",
"Train Epoch: 97 [35840/60000 (60%)]\tLoss: 98.929123\n",
"Train Epoch: 97 [37120/60000 (62%)]\tLoss: 99.933228\n",
"Train Epoch: 97 [38400/60000 (64%)]\tLoss: 100.880920\n",
"Train Epoch: 97 [39680/60000 (66%)]\tLoss: 100.309044\n",
"Train Epoch: 97 [40960/60000 (68%)]\tLoss: 99.985725\n",
"Train Epoch: 97 [42240/60000 (70%)]\tLoss: 98.665634\n",
"Train Epoch: 97 [43520/60000 (72%)]\tLoss: 97.521965\n",
"Train Epoch: 97 [44800/60000 (75%)]\tLoss: 99.278641\n",
"Train Epoch: 97 [46080/60000 (77%)]\tLoss: 102.075035\n",
"Train Epoch: 97 [47360/60000 (79%)]\tLoss: 103.126518\n",
"Train Epoch: 97 [48640/60000 (81%)]\tLoss: 97.567497\n",
"Train Epoch: 97 [49920/60000 (83%)]\tLoss: 104.254120\n",
"Train Epoch: 97 [51200/60000 (85%)]\tLoss: 100.255287\n",
"Train Epoch: 97 [52480/60000 (87%)]\tLoss: 97.956856\n",
"Train Epoch: 97 [53760/60000 (90%)]\tLoss: 101.486664\n",
"Train Epoch: 97 [55040/60000 (92%)]\tLoss: 100.334541\n",
"Train Epoch: 97 [56320/60000 (94%)]\tLoss: 100.996674\n",
"Train Epoch: 97 [57600/60000 (96%)]\tLoss: 102.229012\n",
"Train Epoch: 97 [58880/60000 (98%)]\tLoss: 101.909843\n",
"====> Epoch: 97 Average loss: 100.7105\n",
"====> Test set loss: 92.8922\n",
"Train Epoch: 98 [0/60000 (0%)]\tLoss: 99.083420\n",
"Train Epoch: 98 [1280/60000 (2%)]\tLoss: 98.147919\n",
"Train Epoch: 98 [2560/60000 (4%)]\tLoss: 100.124619\n",
"Train Epoch: 98 [3840/60000 (6%)]\tLoss: 101.865707\n",
"Train Epoch: 98 [5120/60000 (9%)]\tLoss: 102.126297\n",
"Train Epoch: 98 [6400/60000 (11%)]\tLoss: 102.411743\n",
"Train Epoch: 98 [7680/60000 (13%)]\tLoss: 98.650520\n",
"Train Epoch: 98 [8960/60000 (15%)]\tLoss: 102.437111\n",
"Train Epoch: 98 [10240/60000 (17%)]\tLoss: 100.052429\n",
"Train Epoch: 98 [11520/60000 (19%)]\tLoss: 104.108498\n",
"Train Epoch: 98 [12800/60000 (21%)]\tLoss: 100.318275\n",
"Train Epoch: 98 [14080/60000 (23%)]\tLoss: 104.216263\n",
"Train Epoch: 98 [15360/60000 (26%)]\tLoss: 104.527031\n",
"Train Epoch: 98 [16640/60000 (28%)]\tLoss: 97.937042\n",
"Train Epoch: 98 [17920/60000 (30%)]\tLoss: 98.898193\n",
"Train Epoch: 98 [19200/60000 (32%)]\tLoss: 97.221024\n",
"Train Epoch: 98 [20480/60000 (34%)]\tLoss: 100.916229\n",
"Train Epoch: 98 [21760/60000 (36%)]\tLoss: 96.518555\n",
"Train Epoch: 98 [23040/60000 (38%)]\tLoss: 99.753815\n",
"Train Epoch: 98 [24320/60000 (41%)]\tLoss: 98.808929\n",
"Train Epoch: 98 [25600/60000 (43%)]\tLoss: 99.851570\n",
"Train Epoch: 98 [26880/60000 (45%)]\tLoss: 99.398773\n",
"Train Epoch: 98 [28160/60000 (47%)]\tLoss: 98.587936\n",
"Train Epoch: 98 [29440/60000 (49%)]\tLoss: 99.945099\n",
"Train Epoch: 98 [30720/60000 (51%)]\tLoss: 100.514221\n",
"Train Epoch: 98 [32000/60000 (53%)]\tLoss: 101.736954\n",
"Train Epoch: 98 [33280/60000 (55%)]\tLoss: 99.438713\n",
"Train Epoch: 98 [34560/60000 (58%)]\tLoss: 103.504753\n",
"Train Epoch: 98 [35840/60000 (60%)]\tLoss: 97.551758\n",
"Train Epoch: 98 [37120/60000 (62%)]\tLoss: 99.837776\n",
"Train Epoch: 98 [38400/60000 (64%)]\tLoss: 98.716583\n",
"Train Epoch: 98 [39680/60000 (66%)]\tLoss: 97.920670\n",
"Train Epoch: 98 [40960/60000 (68%)]\tLoss: 96.793533\n",
"Train Epoch: 98 [42240/60000 (70%)]\tLoss: 98.731361\n",
"Train Epoch: 98 [43520/60000 (72%)]\tLoss: 98.792130\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Epoch: 98 [44800/60000 (75%)]\tLoss: 96.692535\n",
"Train Epoch: 98 [46080/60000 (77%)]\tLoss: 101.437637\n",
"Train Epoch: 98 [47360/60000 (79%)]\tLoss: 100.129044\n",
"Train Epoch: 98 [48640/60000 (81%)]\tLoss: 99.419395\n",
"Train Epoch: 98 [49920/60000 (83%)]\tLoss: 100.734238\n",
"Train Epoch: 98 [51200/60000 (85%)]\tLoss: 99.617088\n",
"Train Epoch: 98 [52480/60000 (87%)]\tLoss: 101.561424\n",
"Train Epoch: 98 [53760/60000 (90%)]\tLoss: 98.456963\n",
"Train Epoch: 98 [55040/60000 (92%)]\tLoss: 100.012283\n",
"Train Epoch: 98 [56320/60000 (94%)]\tLoss: 101.586914\n",
"Train Epoch: 98 [57600/60000 (96%)]\tLoss: 103.076401\n",
"Train Epoch: 98 [58880/60000 (98%)]\tLoss: 98.765808\n",
"====> Epoch: 98 Average loss: 100.6144\n",
"====> Test set loss: 92.8332\n",
"Train Epoch: 99 [0/60000 (0%)]\tLoss: 96.350006\n",
"Train Epoch: 99 [1280/60000 (2%)]\tLoss: 97.460098\n",
"Train Epoch: 99 [2560/60000 (4%)]\tLoss: 103.689026\n",
"Train Epoch: 99 [3840/60000 (6%)]\tLoss: 102.122154\n",
"Train Epoch: 99 [5120/60000 (9%)]\tLoss: 99.693123\n",
"Train Epoch: 99 [6400/60000 (11%)]\tLoss: 102.276947\n",
"Train Epoch: 99 [7680/60000 (13%)]\tLoss: 98.685852\n",
"Train Epoch: 99 [8960/60000 (15%)]\tLoss: 102.473862\n",
"Train Epoch: 99 [10240/60000 (17%)]\tLoss: 100.668167\n",
"Train Epoch: 99 [11520/60000 (19%)]\tLoss: 103.201309\n",
"Train Epoch: 99 [12800/60000 (21%)]\tLoss: 96.568764\n",
"Train Epoch: 99 [14080/60000 (23%)]\tLoss: 99.131165\n",
"Train Epoch: 99 [15360/60000 (26%)]\tLoss: 96.316010\n",
"Train Epoch: 99 [16640/60000 (28%)]\tLoss: 104.398483\n",
"Train Epoch: 99 [17920/60000 (30%)]\tLoss: 100.540199\n",
"Train Epoch: 99 [19200/60000 (32%)]\tLoss: 97.899223\n",
"Train Epoch: 99 [20480/60000 (34%)]\tLoss: 100.555107\n",
"Train Epoch: 99 [21760/60000 (36%)]\tLoss: 98.751770\n",
"Train Epoch: 99 [23040/60000 (38%)]\tLoss: 94.952690\n",
"Train Epoch: 99 [24320/60000 (41%)]\tLoss: 100.582558\n",
"Train Epoch: 99 [25600/60000 (43%)]\tLoss: 100.321930\n",
"Train Epoch: 99 [26880/60000 (45%)]\tLoss: 98.212860\n",
"Train Epoch: 99 [28160/60000 (47%)]\tLoss: 99.785789\n",
"Train Epoch: 99 [29440/60000 (49%)]\tLoss: 98.654007\n",
"Train Epoch: 99 [30720/60000 (51%)]\tLoss: 103.002846\n",
"Train Epoch: 99 [32000/60000 (53%)]\tLoss: 102.901794\n",
"Train Epoch: 99 [33280/60000 (55%)]\tLoss: 103.142403\n",
"Train Epoch: 99 [34560/60000 (58%)]\tLoss: 100.309570\n",
"Train Epoch: 99 [35840/60000 (60%)]\tLoss: 103.459175\n",
"Train Epoch: 99 [37120/60000 (62%)]\tLoss: 103.059799\n",
"Train Epoch: 99 [38400/60000 (64%)]\tLoss: 102.134438\n",
"Train Epoch: 99 [39680/60000 (66%)]\tLoss: 104.832954\n",
"Train Epoch: 99 [40960/60000 (68%)]\tLoss: 99.930443\n",
"Train Epoch: 99 [42240/60000 (70%)]\tLoss: 99.090103\n",
"Train Epoch: 99 [43520/60000 (72%)]\tLoss: 100.434677\n",
"Train Epoch: 99 [44800/60000 (75%)]\tLoss: 99.624496\n",
"Train Epoch: 99 [46080/60000 (77%)]\tLoss: 98.260193\n",
"Train Epoch: 99 [47360/60000 (79%)]\tLoss: 101.713425\n",
"Train Epoch: 99 [48640/60000 (81%)]\tLoss: 104.876343\n",
"Train Epoch: 99 [49920/60000 (83%)]\tLoss: 98.557129\n",
"Train Epoch: 99 [51200/60000 (85%)]\tLoss: 99.914825\n",
"Train Epoch: 99 [52480/60000 (87%)]\tLoss: 102.561218\n",
"Train Epoch: 99 [53760/60000 (90%)]\tLoss: 97.014969\n",
"Train Epoch: 99 [55040/60000 (92%)]\tLoss: 100.607025\n",
"Train Epoch: 99 [56320/60000 (94%)]\tLoss: 100.643829\n",
"Train Epoch: 99 [57600/60000 (96%)]\tLoss: 100.406883\n",
"Train Epoch: 99 [58880/60000 (98%)]\tLoss: 104.744156\n",
"====> Epoch: 99 Average loss: 100.6677\n",
"====> Test set loss: 92.8875\n",
"Train Epoch: 100 [0/60000 (0%)]\tLoss: 101.355309\n",
"Train Epoch: 100 [1280/60000 (2%)]\tLoss: 101.946671\n",
"Train Epoch: 100 [2560/60000 (4%)]\tLoss: 100.423393\n",
"Train Epoch: 100 [3840/60000 (6%)]\tLoss: 101.196770\n",
"Train Epoch: 100 [5120/60000 (9%)]\tLoss: 101.706818\n",
"Train Epoch: 100 [6400/60000 (11%)]\tLoss: 102.190407\n",
"Train Epoch: 100 [7680/60000 (13%)]\tLoss: 102.533737\n",
"Train Epoch: 100 [8960/60000 (15%)]\tLoss: 101.030777\n",
"Train Epoch: 100 [10240/60000 (17%)]\tLoss: 98.053261\n",
"Train Epoch: 100 [11520/60000 (19%)]\tLoss: 100.431084\n",
"Train Epoch: 100 [12800/60000 (21%)]\tLoss: 100.192780\n",
"Train Epoch: 100 [14080/60000 (23%)]\tLoss: 100.886604\n",
"Train Epoch: 100 [15360/60000 (26%)]\tLoss: 101.257721\n",
"Train Epoch: 100 [16640/60000 (28%)]\tLoss: 97.803185\n",
"Train Epoch: 100 [17920/60000 (30%)]\tLoss: 98.823212\n",
"Train Epoch: 100 [19200/60000 (32%)]\tLoss: 104.511902\n",
"Train Epoch: 100 [20480/60000 (34%)]\tLoss: 96.338432\n",
"Train Epoch: 100 [21760/60000 (36%)]\tLoss: 103.972580\n",
"Train Epoch: 100 [23040/60000 (38%)]\tLoss: 103.314011\n",
"Train Epoch: 100 [24320/60000 (41%)]\tLoss: 100.769485\n",
"Train Epoch: 100 [25600/60000 (43%)]\tLoss: 102.753670\n",
"Train Epoch: 100 [26880/60000 (45%)]\tLoss: 102.018593\n",
"Train Epoch: 100 [28160/60000 (47%)]\tLoss: 99.404457\n",
"Train Epoch: 100 [29440/60000 (49%)]\tLoss: 99.153511\n",
"Train Epoch: 100 [30720/60000 (51%)]\tLoss: 100.405075\n",
"Train Epoch: 100 [32000/60000 (53%)]\tLoss: 100.794296\n",
"Train Epoch: 100 [33280/60000 (55%)]\tLoss: 95.688324\n",
"Train Epoch: 100 [34560/60000 (58%)]\tLoss: 100.335930\n",
"Train Epoch: 100 [35840/60000 (60%)]\tLoss: 99.103073\n",
"Train Epoch: 100 [37120/60000 (62%)]\tLoss: 101.417923\n",
"Train Epoch: 100 [38400/60000 (64%)]\tLoss: 98.003517\n",
"Train Epoch: 100 [39680/60000 (66%)]\tLoss: 96.117645\n",
"Train Epoch: 100 [40960/60000 (68%)]\tLoss: 98.669952\n",
"Train Epoch: 100 [42240/60000 (70%)]\tLoss: 99.067184\n",
"Train Epoch: 100 [43520/60000 (72%)]\tLoss: 100.866951\n",
"Train Epoch: 100 [44800/60000 (75%)]\tLoss: 97.159088\n",
"Train Epoch: 100 [46080/60000 (77%)]\tLoss: 102.761284\n",
"Train Epoch: 100 [47360/60000 (79%)]\tLoss: 102.825592\n",
"Train Epoch: 100 [48640/60000 (81%)]\tLoss: 98.913216\n",
"Train Epoch: 100 [49920/60000 (83%)]\tLoss: 100.626633\n",
"Train Epoch: 100 [51200/60000 (85%)]\tLoss: 99.842407\n",
"Train Epoch: 100 [52480/60000 (87%)]\tLoss: 99.091240\n",
"Train Epoch: 100 [53760/60000 (90%)]\tLoss: 99.795837\n",
"Train Epoch: 100 [55040/60000 (92%)]\tLoss: 98.773026\n",
"Train Epoch: 100 [56320/60000 (94%)]\tLoss: 104.142082\n",
"Train Epoch: 100 [57600/60000 (96%)]\tLoss: 98.293823\n",
"Train Epoch: 100 [58880/60000 (98%)]\tLoss: 101.025749\n",
"====> Epoch: 100 Average loss: 100.6189\n",
"====> Test set loss: 93.2342\n"
]
}
],
"source": [
"for epoch in range(1, args.epochs + 1):\n",
" train(epoch)\n",
" test(epoch)\n",
" with torch.no_grad():\n",
" sample = torch.randn(64, 20).to(device)\n",
" sample = model.decode(sample).cpu()\n",
" save_image(sample.view(64, 1, 28, 28), f'results/sample_{epoch}.png')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.0"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment