Chainer cifar を試す
README 曰く、train_cifar.py は、デフォルトで GPU 0 を使う。
$ python train_cifar.py
Mnist のように、データセットのダウンロードから始まります。
Estimated time to finish: 3:57:33
とでました。
初回の結果
$ python train_cifar.py GPU: 0 # Minibatch-size: 128 # epoch: 300 Using CIFAR10 dataset. Downloading from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz... epoch main/loss validation/main/loss main/accuracy validation/main/accuracy elapsed_time 1 2.40104 1.94277 0.161325 0.217168 51.6946 2 1.81075 1.66216 0.285826 0.347706 100.377 3 1.50989 1.42922 0.420052 0.475771 149.203 4 1.27429 1.15027 0.543938 0.594343 198.176 5 1.0685 1.00839 0.627757 0.655756 247.159 6 0.953728 0.983496 0.673437 0.667623 296.061 7 0.871836 0.878536 0.710038 0.707476 345.054 8 0.825212 0.826754 0.729547 0.733782 393.962 9 0.789095 0.813937 0.745165 0.739517 442.956 10 0.753746 0.79951 0.757433 0.742089 491.96 11 0.729694 0.760835 0.767007 0.762658 540.833 ... 285 0.00550012 0.524492 0.998881 0.899031 13941.3 286 0.00420565 0.549105 0.999379 0.89646 13990.1 287 0.00410778 0.539779 0.999341 0.897547 14039 288 0.00399757 0.536811 0.999419 0.897646 14087.7 289 0.00549819 0.532966 0.999021 0.898042 14136.6 290 0.00449508 0.525496 0.999341 0.899229 14185.5 291 0.00408126 0.528732 0.999459 0.898438 14234.3 292 0.00433158 0.529872 0.999361 0.897152 14283.2 293 0.00442761 0.534484 0.999321 0.897745 14332.1 294 0.00480573 0.52566 0.999179 0.898734 14380.9 295 0.0047175 0.535832 0.999321 0.899525 14429.8 296 0.00457282 0.548527 0.999299 0.89468 14478.7 297 0.00466009 0.538513 0.999241 0.896657 14527.7 298 0.00482552 0.535228 0.999201 0.898438 14576.8 299 0.00517972 0.528672 0.998978 0.899328 14625.6 300 0.00443006 0.533218 0.999261 0.899723 14674.5
