See apache/mxnet#2046 for details.
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January 7, 2022 06:07
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Exactly reproduce 56 layers ResNet on CIFAR10 in mxnet
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| FROM dmlc/mxnet:cuda | |
| MAINTAINER answeror <answeror@gmail.com> | |
| ENV LD_LIBRARY_PATH /usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 | |
| RUN cd /mxnet && git pull origin master && git submodule update | |
| ADD src/io/image_aug_default.cc /mxnet/src/io/image_aug_default.cc | |
| RUN cd /mxnet && make -j8 ADD_LDFLAGS=-L/usr/local/cuda/lib64/stubs | |
| ADD example/image-classification/symbol_resnet.py /mxnet/example/image-classification/symbol_resnet.py | |
| ADD example/image-classification/train_cifar10_resnet.py /mxnet/example/image-classification/train_cifar10_resnet.py | |
| WORKDIR /mxnet | |
| CMD ["python", "example/image-classification/train_cifar10_resnet.py", "--save-model-prefix", "cifar10/resnet"] |
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| 2016-05-02 12:04:38,432 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-02 12:04:38,830 Node[0] Start training with [gpu(0)] | |
| 2016-05-02 12:05:00,230 Node[0] Epoch[0] Batch [50] Speed: 643.90 samples/sec Train-accuracy=0.103594 | |
| 2016-05-02 12:05:10,343 Node[0] Epoch[0] Batch [100] Speed: 632.90 samples/sec Train-accuracy=0.113750 | |
| 2016-05-02 12:05:20,510 Node[0] Epoch[0] Batch [150] Speed: 629.44 samples/sec Train-accuracy=0.107031 | |
| 2016-05-02 12:05:30,765 Node[0] Epoch[0] Batch [200] Speed: 624.15 samples/sec Train-accuracy=0.117969 | |
| 2016-05-02 12:05:41,514 Node[0] Epoch[0] Batch [250] Speed: 595.42 samples/sec Train-accuracy=0.124844 | |
| 2016-05-02 12:05:52,326 Node[0] Epoch[0] Batch [300] Speed: 591.97 samples/sec Train-accuracy=0.150156 | |
| 2016-05-02 12:06:20,190 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-02 12:06:20,540 Node[0] Start training with [gpu(0)] | |
| 2016-05-02 12:06:41,491 Node[0] Epoch[0] Batch [50] Speed: 644.91 samples/sec Train-accuracy=0.105625 | |
| 2016-05-02 12:06:51,655 Node[0] Epoch[0] Batch [100] Speed: 629.69 samples/sec Train-accuracy=0.171719 | |
| 2016-05-02 12:07:01,852 Node[0] Epoch[0] Batch [150] Speed: 627.68 samples/sec Train-accuracy=0.242344 | |
| 2016-05-02 12:07:12,031 Node[0] Epoch[0] Batch [200] Speed: 628.70 samples/sec Train-accuracy=0.267969 | |
| 2016-05-02 12:07:22,826 Node[0] Epoch[0] Batch [250] Speed: 592.91 samples/sec Train-accuracy=0.302344 | |
| 2016-05-02 12:07:33,798 Node[0] Epoch[0] Batch [300] Speed: 583.30 samples/sec Train-accuracy=0.333750 | |
| 2016-05-02 12:07:44,730 Node[0] Epoch[0] Batch [350] Speed: 585.48 samples/sec Train-accuracy=0.350625 | |
| 2016-05-02 12:07:53,633 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-02 12:07:53,634 Node[0] Epoch[0] Time cost=82.413 | |
| 2016-05-02 12:07:53,807 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-02 12:07:55,961 Node[0] Epoch[0] Validation-accuracy=0.314280 | |
| 2016-05-02 12:08:06,748 Node[0] Epoch[1] Batch [50] Speed: 596.34 samples/sec Train-accuracy=0.383594 | |
| 2016-05-02 12:08:17,506 Node[0] Epoch[1] Batch [100] Speed: 594.91 samples/sec Train-accuracy=0.411406 | |
| 2016-05-02 12:08:28,141 Node[0] Epoch[1] Batch [150] Speed: 601.82 samples/sec Train-accuracy=0.447656 | |
| 2016-05-02 12:08:38,789 Node[0] Epoch[1] Batch [200] Speed: 601.07 samples/sec Train-accuracy=0.452656 | |
| 2016-05-02 12:08:49,512 Node[0] Epoch[1] Batch [250] Speed: 596.87 samples/sec Train-accuracy=0.475000 | |
| 2016-05-02 12:09:00,306 Node[0] Epoch[1] Batch [300] Speed: 592.91 samples/sec Train-accuracy=0.490625 | |
| 2016-05-02 12:09:11,052 Node[0] Epoch[1] Batch [350] Speed: 595.60 samples/sec Train-accuracy=0.504375 | |
| 2016-05-02 12:09:19,764 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-02 12:09:19,764 Node[0] Epoch[1] Time cost=83.803 | |
| 2016-05-02 12:09:19,929 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-02 12:09:21,864 Node[0] Epoch[1] Validation-accuracy=0.445212 | |
| 2016-05-02 12:09:32,586 Node[0] Epoch[2] Batch [50] Speed: 600.17 samples/sec Train-accuracy=0.537500 | |
| 2016-05-02 12:09:43,194 Node[0] Epoch[2] Batch [100] Speed: 603.32 samples/sec Train-accuracy=0.566094 | |
| 2016-05-02 12:09:53,813 Node[0] Epoch[2] Batch [150] Speed: 602.70 samples/sec Train-accuracy=0.571250 | |
| 2016-05-02 12:10:04,408 Node[0] Epoch[2] Batch [200] Speed: 604.06 samples/sec Train-accuracy=0.576875 | |
| 2016-05-02 12:10:15,064 Node[0] Epoch[2] Batch [250] Speed: 600.65 samples/sec Train-accuracy=0.599688 | |
| 2016-05-02 12:10:25,718 Node[0] Epoch[2] Batch [300] Speed: 600.72 samples/sec Train-accuracy=0.606719 | |
| 2016-05-02 12:10:36,331 Node[0] Epoch[2] Batch [350] Speed: 603.02 samples/sec Train-accuracy=0.610781 | |
| 2016-05-02 12:10:44,792 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-02 12:10:44,792 Node[0] Epoch[2] Time cost=82.928 | |
| 2016-05-02 12:10:44,956 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-02 12:10:46,850 Node[0] Epoch[2] Validation-accuracy=0.629407 | |
| 2016-05-02 12:10:57,406 Node[0] Epoch[3] Batch [50] Speed: 609.50 samples/sec Train-accuracy=0.635781 | |
| 2016-05-02 12:11:07,926 Node[0] Epoch[3] Batch [100] Speed: 608.35 samples/sec Train-accuracy=0.655156 | |
| 2016-05-02 12:11:18,440 Node[0] Epoch[3] Batch [150] Speed: 608.75 samples/sec Train-accuracy=0.667969 | |
| 2016-05-02 12:11:28,968 Node[0] Epoch[3] Batch [200] Speed: 607.88 samples/sec Train-accuracy=0.666406 | |
| 2016-05-02 12:11:39,513 Node[0] Epoch[3] Batch [250] Speed: 606.95 samples/sec Train-accuracy=0.666250 | |
| 2016-05-02 12:11:50,086 Node[0] Epoch[3] Batch [300] Speed: 605.37 samples/sec Train-accuracy=0.683594 | |
| 2016-05-02 12:12:00,690 Node[0] Epoch[3] Batch [350] Speed: 603.54 samples/sec Train-accuracy=0.688438 | |
| 2016-05-02 12:12:09,360 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-02 12:12:09,360 Node[0] Epoch[3] Time cost=82.510 | |
| 2016-05-02 12:12:09,528 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-02 12:12:11,435 Node[0] Epoch[3] Validation-accuracy=0.710337 | |
| 2016-05-02 12:12:21,927 Node[0] Epoch[4] Batch [50] Speed: 613.20 samples/sec Train-accuracy=0.701250 | |
| 2016-05-02 12:12:32,366 Node[0] Epoch[4] Batch [100] Speed: 613.12 samples/sec Train-accuracy=0.714688 | |
| 2016-05-02 12:12:42,766 Node[0] Epoch[4] Batch [150] Speed: 615.41 samples/sec Train-accuracy=0.724531 | |
| 2016-05-02 12:12:53,265 Node[0] Epoch[4] Batch [200] Speed: 609.58 samples/sec Train-accuracy=0.720313 | |
| 2016-05-02 12:13:03,871 Node[0] Epoch[4] Batch [250] Speed: 603.46 samples/sec Train-accuracy=0.728906 | |
| 2016-05-02 12:13:14,344 Node[0] Epoch[4] Batch [300] Speed: 611.09 samples/sec Train-accuracy=0.734688 | |
| 2016-05-02 12:13:24,765 Node[0] Epoch[4] Batch [350] Speed: 614.15 samples/sec Train-accuracy=0.736719 | |
| 2016-05-02 12:13:33,333 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-02 12:13:33,334 Node[0] Epoch[4] Time cost=81.899 | |
| 2016-05-02 12:13:33,504 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-02 12:13:35,462 Node[0] Epoch[4] Validation-accuracy=0.753005 | |
| 2016-05-02 12:13:46,073 Node[0] Epoch[5] Batch [50] Speed: 606.47 samples/sec Train-accuracy=0.745625 | |
| 2016-05-02 12:13:56,512 Node[0] Epoch[5] Batch [100] Speed: 613.09 samples/sec Train-accuracy=0.750938 | |
| 2016-05-02 12:14:06,902 Node[0] Epoch[5] Batch [150] Speed: 615.99 samples/sec Train-accuracy=0.756094 | |
| 2016-05-02 12:14:17,261 Node[0] Epoch[5] Batch [200] Speed: 617.86 samples/sec Train-accuracy=0.762969 | |
| 2016-05-02 12:14:27,739 Node[0] Epoch[5] Batch [250] Speed: 610.77 samples/sec Train-accuracy=0.757031 | |
| 2016-05-02 12:14:38,282 Node[0] Epoch[5] Batch [300] Speed: 607.08 samples/sec Train-accuracy=0.764375 | |
| 2016-05-02 12:14:48,797 Node[0] Epoch[5] Batch [350] Speed: 608.68 samples/sec Train-accuracy=0.765312 | |
| 2016-05-02 12:14:57,147 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-02 12:14:57,147 Node[0] Epoch[5] Time cost=81.686 | |
| 2016-05-02 12:14:57,319 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-02 12:14:59,206 Node[0] Epoch[5] Validation-accuracy=0.768429 | |
| 2016-05-02 12:15:09,568 Node[0] Epoch[6] Batch [50] Speed: 620.99 samples/sec Train-accuracy=0.768437 | |
| 2016-05-02 12:15:19,987 Node[0] Epoch[6] Batch [100] Speed: 614.26 samples/sec Train-accuracy=0.781563 | |
| 2016-05-02 12:15:30,405 Node[0] Epoch[6] Batch [150] Speed: 614.33 samples/sec Train-accuracy=0.784375 | |
| 2016-05-02 12:15:40,794 Node[0] Epoch[6] Batch [200] Speed: 616.06 samples/sec Train-accuracy=0.776719 | |
| 2016-05-02 12:15:51,192 Node[0] Epoch[6] Batch [250] Speed: 615.49 samples/sec Train-accuracy=0.778594 | |
| 2016-05-02 12:16:01,591 Node[0] Epoch[6] Batch [300] Speed: 615.51 samples/sec Train-accuracy=0.785781 | |
| 2016-05-02 12:16:12,008 Node[0] Epoch[6] Batch [350] Speed: 614.40 samples/sec Train-accuracy=0.796562 | |
| 2016-05-02 12:16:20,511 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-02 12:16:20,511 Node[0] Epoch[6] Time cost=81.305 | |
| 2016-05-02 12:16:20,675 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-02 12:16:22,615 Node[0] Epoch[6] Validation-accuracy=0.766326 | |
| 2016-05-02 12:16:33,119 Node[0] Epoch[7] Batch [50] Speed: 612.51 samples/sec Train-accuracy=0.793594 | |
| 2016-05-02 12:16:43,532 Node[0] Epoch[7] Batch [100] Speed: 614.68 samples/sec Train-accuracy=0.793281 | |
| 2016-05-02 12:16:53,935 Node[0] Epoch[7] Batch [150] Speed: 615.18 samples/sec Train-accuracy=0.804219 | |
| 2016-05-02 12:17:04,343 Node[0] Epoch[7] Batch [200] Speed: 614.94 samples/sec Train-accuracy=0.800469 | |
| 2016-05-02 12:17:14,756 Node[0] Epoch[7] Batch [250] Speed: 614.65 samples/sec Train-accuracy=0.800156 | |
| 2016-05-02 12:17:25,184 Node[0] Epoch[7] Batch [300] Speed: 613.76 samples/sec Train-accuracy=0.811562 | |
| 2016-05-02 12:17:35,563 Node[0] Epoch[7] Batch [350] Speed: 616.64 samples/sec Train-accuracy=0.809219 | |
| 2016-05-02 12:17:43,864 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-02 12:17:43,864 Node[0] Epoch[7] Time cost=81.249 | |
| 2016-05-02 12:17:44,027 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-02 12:17:45,944 Node[0] Epoch[7] Validation-accuracy=0.792268 | |
| 2016-05-02 12:17:56,332 Node[0] Epoch[8] Batch [50] Speed: 619.38 samples/sec Train-accuracy=0.803750 | |
| 2016-05-02 12:18:06,670 Node[0] Epoch[8] Batch [100] Speed: 619.10 samples/sec Train-accuracy=0.809219 | |
| 2016-05-02 12:18:17,028 Node[0] Epoch[8] Batch [150] Speed: 617.91 samples/sec Train-accuracy=0.822031 | |
| 2016-05-02 12:18:27,428 Node[0] Epoch[8] Batch [200] Speed: 615.40 samples/sec Train-accuracy=0.811875 | |
| 2016-05-02 12:18:37,823 Node[0] Epoch[8] Batch [250] Speed: 615.67 samples/sec Train-accuracy=0.812187 | |
| 2016-05-02 12:18:48,227 Node[0] Epoch[8] Batch [300] Speed: 615.16 samples/sec Train-accuracy=0.822656 | |
| 2016-05-02 12:18:58,657 Node[0] Epoch[8] Batch [350] Speed: 613.64 samples/sec Train-accuracy=0.818906 | |
| 2016-05-02 12:19:07,163 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-02 12:19:07,163 Node[0] Epoch[8] Time cost=81.219 | |
| 2016-05-02 12:19:07,328 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-02 12:19:09,407 Node[0] Epoch[8] Validation-accuracy=0.805775 | |
| 2016-05-02 12:19:19,792 Node[0] Epoch[9] Batch [50] Speed: 619.64 samples/sec Train-accuracy=0.817500 | |
| 2016-05-02 12:19:30,182 Node[0] Epoch[9] Batch [100] Speed: 615.99 samples/sec Train-accuracy=0.823594 | |
| 2016-05-02 12:19:40,610 Node[0] Epoch[9] Batch [150] Speed: 613.77 samples/sec Train-accuracy=0.824063 | |
| 2016-05-02 12:19:51,048 Node[0] Epoch[9] Batch [200] Speed: 613.12 samples/sec Train-accuracy=0.816719 | |
| 2016-05-02 12:20:01,418 Node[0] Epoch[9] Batch [250] Speed: 617.23 samples/sec Train-accuracy=0.820469 | |
| 2016-05-02 12:20:11,799 Node[0] Epoch[9] Batch [300] Speed: 616.51 samples/sec Train-accuracy=0.833906 | |
| 2016-05-02 12:20:22,194 Node[0] Epoch[9] Batch [350] Speed: 615.68 samples/sec Train-accuracy=0.829063 | |
| 2016-05-02 12:20:30,715 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-02 12:20:30,715 Node[0] Epoch[9] Time cost=81.308 | |
| 2016-05-02 12:20:30,875 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-02 12:20:32,800 Node[0] Epoch[9] Validation-accuracy=0.788462 | |
| 2016-05-02 12:20:43,266 Node[0] Epoch[10] Batch [50] Speed: 614.73 samples/sec Train-accuracy=0.830937 | |
| 2016-05-02 12:20:53,666 Node[0] Epoch[10] Batch [100] Speed: 615.41 samples/sec Train-accuracy=0.835156 | |
| 2016-05-02 12:21:04,020 Node[0] Epoch[10] Batch [150] Speed: 618.14 samples/sec Train-accuracy=0.836094 | |
| 2016-05-02 12:21:14,426 Node[0] Epoch[10] Batch [200] Speed: 615.05 samples/sec Train-accuracy=0.833906 | |
| 2016-05-02 12:21:24,810 Node[0] Epoch[10] Batch [250] Speed: 616.37 samples/sec Train-accuracy=0.847969 | |
| 2016-05-02 12:21:35,215 Node[0] Epoch[10] Batch [300] Speed: 615.08 samples/sec Train-accuracy=0.844219 | |
| 2016-05-02 12:21:45,593 Node[0] Epoch[10] Batch [350] Speed: 616.68 samples/sec Train-accuracy=0.841719 | |
| 2016-05-02 12:21:53,881 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-02 12:21:53,881 Node[0] Epoch[10] Time cost=81.081 | |
| 2016-05-02 12:21:54,044 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-02 12:21:55,949 Node[0] Epoch[10] Validation-accuracy=0.821114 | |
| 2016-05-02 12:22:06,338 Node[0] Epoch[11] Batch [50] Speed: 619.15 samples/sec Train-accuracy=0.834219 | |
| 2016-05-02 12:22:16,689 Node[0] Epoch[11] Batch [100] Speed: 618.37 samples/sec Train-accuracy=0.847031 | |
| 2016-05-02 12:22:27,054 Node[0] Epoch[11] Batch [150] Speed: 617.44 samples/sec Train-accuracy=0.844688 | |
| 2016-05-02 12:22:37,462 Node[0] Epoch[11] Batch [200] Speed: 614.96 samples/sec Train-accuracy=0.838750 | |
| 2016-05-02 12:22:47,822 Node[0] Epoch[11] Batch [250] Speed: 617.77 samples/sec Train-accuracy=0.847500 | |
| 2016-05-02 12:22:58,221 Node[0] Epoch[11] Batch [300] Speed: 615.47 samples/sec Train-accuracy=0.847344 | |
| 2016-05-02 12:23:08,630 Node[0] Epoch[11] Batch [350] Speed: 614.84 samples/sec Train-accuracy=0.840313 | |
| 2016-05-02 12:23:17,152 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-02 12:23:17,152 Node[0] Epoch[11] Time cost=81.203 | |
| 2016-05-02 12:23:17,321 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-02 12:23:19,219 Node[0] Epoch[11] Validation-accuracy=0.812400 | |
| 2016-05-02 12:23:29,611 Node[0] Epoch[12] Batch [50] Speed: 619.09 samples/sec Train-accuracy=0.839688 | |
| 2016-05-02 12:23:39,991 Node[0] Epoch[12] Batch [100] Speed: 616.56 samples/sec Train-accuracy=0.848750 | |
| 2016-05-02 12:23:50,421 Node[0] Epoch[12] Batch [150] Speed: 613.63 samples/sec Train-accuracy=0.855313 | |
| 2016-05-02 12:24:00,842 Node[0] Epoch[12] Batch [200] Speed: 614.15 samples/sec Train-accuracy=0.847344 | |
| 2016-05-02 12:24:11,217 Node[0] Epoch[12] Batch [250] Speed: 616.87 samples/sec Train-accuracy=0.849844 | |
| 2016-05-02 12:24:21,553 Node[0] Epoch[12] Batch [300] Speed: 619.24 samples/sec Train-accuracy=0.862031 | |
| 2016-05-02 12:24:31,906 Node[0] Epoch[12] Batch [350] Speed: 618.18 samples/sec Train-accuracy=0.848906 | |
| 2016-05-02 12:24:40,413 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-02 12:24:40,413 Node[0] Epoch[12] Time cost=81.195 | |
| 2016-05-02 12:24:40,577 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-02 12:24:42,493 Node[0] Epoch[12] Validation-accuracy=0.805489 | |
| 2016-05-02 12:24:52,820 Node[0] Epoch[13] Batch [50] Speed: 623.10 samples/sec Train-accuracy=0.856406 | |
| 2016-05-02 12:25:03,185 Node[0] Epoch[13] Batch [100] Speed: 617.45 samples/sec Train-accuracy=0.856250 | |
| 2016-05-02 12:25:13,594 Node[0] Epoch[13] Batch [150] Speed: 614.90 samples/sec Train-accuracy=0.861875 | |
| 2016-05-02 12:25:23,932 Node[0] Epoch[13] Batch [200] Speed: 619.06 samples/sec Train-accuracy=0.857344 | |
| 2016-05-02 12:25:34,323 Node[0] Epoch[13] Batch [250] Speed: 615.95 samples/sec Train-accuracy=0.856719 | |
| 2016-05-02 12:25:44,725 Node[0] Epoch[13] Batch [300] Speed: 615.28 samples/sec Train-accuracy=0.860781 | |
| 2016-05-02 12:25:55,121 Node[0] Epoch[13] Batch [350] Speed: 615.69 samples/sec Train-accuracy=0.854844 | |
| 2016-05-02 12:26:03,380 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-02 12:26:03,380 Node[0] Epoch[13] Time cost=80.887 | |
| 2016-05-02 12:26:03,539 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-02 12:26:05,433 Node[0] Epoch[13] Validation-accuracy=0.795172 | |
| 2016-05-02 12:26:15,816 Node[0] Epoch[14] Batch [50] Speed: 619.67 samples/sec Train-accuracy=0.857656 | |
| 2016-05-02 12:26:26,181 Node[0] Epoch[14] Batch [100] Speed: 617.47 samples/sec Train-accuracy=0.855625 | |
| 2016-05-02 12:26:36,518 Node[0] Epoch[14] Batch [150] Speed: 619.14 samples/sec Train-accuracy=0.866094 | |
| 2016-05-02 12:26:46,869 Node[0] Epoch[14] Batch [200] Speed: 618.31 samples/sec Train-accuracy=0.864375 | |
| 2016-05-02 12:26:57,271 Node[0] Epoch[14] Batch [250] Speed: 615.29 samples/sec Train-accuracy=0.863125 | |
| 2016-05-02 12:27:07,666 Node[0] Epoch[14] Batch [300] Speed: 615.71 samples/sec Train-accuracy=0.867812 | |
| 2016-05-02 12:27:18,075 Node[0] Epoch[14] Batch [350] Speed: 614.85 samples/sec Train-accuracy=0.860313 | |
| 2016-05-02 12:27:26,558 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-02 12:27:26,559 Node[0] Epoch[14] Time cost=81.126 | |
| 2016-05-02 12:27:26,722 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-02 12:27:28,643 Node[0] Epoch[14] Validation-accuracy=0.831631 | |
| 2016-05-02 12:27:38,995 Node[0] Epoch[15] Batch [50] Speed: 621.50 samples/sec Train-accuracy=0.866563 | |
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| 2016-05-02 12:28:49,354 Node[0] Epoch[15] Time cost=80.710 | |
| 2016-05-02 12:28:49,520 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-02 12:28:51,434 Node[0] Epoch[15] Validation-accuracy=0.844251 | |
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| 2016-05-02 12:30:12,472 Node[0] Epoch[16] Time cost=81.038 | |
| 2016-05-02 12:30:12,631 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-02 12:30:14,711 Node[0] Epoch[16] Validation-accuracy=0.839003 | |
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| 2016-05-02 12:31:35,715 Node[0] Epoch[17] Time cost=81.004 | |
| 2016-05-02 12:31:35,877 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-02 12:31:37,756 Node[0] Epoch[17] Validation-accuracy=0.849659 | |
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| 2016-05-02 12:32:58,610 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-02 12:32:58,610 Node[0] Epoch[18] Time cost=80.853 | |
| 2016-05-02 12:32:58,775 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-02 12:33:00,689 Node[0] Epoch[18] Validation-accuracy=0.843550 | |
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| 2016-05-02 12:34:21,780 Node[0] Epoch[19] Time cost=81.090 | |
| 2016-05-02 12:34:21,941 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-02 12:34:23,843 Node[0] Epoch[19] Validation-accuracy=0.845252 | |
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| 2016-05-02 12:35:45,041 Node[0] Epoch[20] Time cost=81.197 | |
| 2016-05-02 12:35:45,202 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-02 12:35:47,130 Node[0] Epoch[20] Validation-accuracy=0.815405 | |
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| 2016-05-02 12:37:07,997 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-02 12:37:07,998 Node[0] Epoch[21] Time cost=80.868 | |
| 2016-05-02 12:37:08,157 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-02 12:37:10,096 Node[0] Epoch[21] Validation-accuracy=0.824920 | |
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| 2016-05-02 12:38:31,238 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-02 12:38:31,239 Node[0] Epoch[22] Time cost=81.142 | |
| 2016-05-02 12:38:31,402 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-02 12:38:33,320 Node[0] Epoch[22] Validation-accuracy=0.850260 | |
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| 2016-05-02 12:39:54,225 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-02 12:39:54,225 Node[0] Epoch[23] Time cost=80.905 | |
| 2016-05-02 12:39:54,388 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-02 12:39:56,332 Node[0] Epoch[23] Validation-accuracy=0.844952 | |
| 2016-05-02 12:40:06,778 Node[0] Epoch[24] Batch [50] Speed: 615.98 samples/sec Train-accuracy=0.893281 | |
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| 2016-05-02 12:41:17,712 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-02 12:41:17,712 Node[0] Epoch[24] Time cost=81.380 | |
| 2016-05-02 12:41:17,876 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-02 12:41:19,980 Node[0] Epoch[24] Validation-accuracy=0.861551 | |
| 2016-05-02 12:41:30,333 Node[0] Epoch[25] Batch [50] Speed: 621.39 samples/sec Train-accuracy=0.896563 | |
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| 2016-05-02 12:42:41,315 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-02 12:42:41,316 Node[0] Epoch[25] Time cost=81.336 | |
| 2016-05-02 12:42:41,485 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-02 12:42:43,387 Node[0] Epoch[25] Validation-accuracy=0.843550 | |
| 2016-05-02 12:42:53,807 Node[0] Epoch[26] Batch [50] Speed: 617.51 samples/sec Train-accuracy=0.906719 | |
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| 2016-05-02 12:44:04,375 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-02 12:44:04,375 Node[0] Epoch[26] Time cost=80.987 | |
| 2016-05-02 12:44:04,544 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-02 12:44:06,455 Node[0] Epoch[26] Validation-accuracy=0.862079 | |
| 2016-05-02 12:44:16,888 Node[0] Epoch[27] Batch [50] Speed: 616.67 samples/sec Train-accuracy=0.905781 | |
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| 2016-05-02 12:45:27,737 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-02 12:45:27,737 Node[0] Epoch[27] Time cost=81.282 | |
| 2016-05-02 12:45:27,901 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-02 12:45:29,805 Node[0] Epoch[27] Validation-accuracy=0.846054 | |
| 2016-05-02 12:45:40,204 Node[0] Epoch[28] Batch [50] Speed: 618.67 samples/sec Train-accuracy=0.906719 | |
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| 2016-05-02 12:46:50,942 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-02 12:46:50,943 Node[0] Epoch[28] Time cost=81.138 | |
| 2016-05-02 12:46:51,105 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-02 12:46:53,045 Node[0] Epoch[28] Validation-accuracy=0.844351 | |
| 2016-05-02 12:47:03,457 Node[0] Epoch[29] Batch [50] Speed: 617.97 samples/sec Train-accuracy=0.913906 | |
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| 2016-05-02 12:48:14,045 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-02 12:48:14,045 Node[0] Epoch[29] Time cost=81.000 | |
| 2016-05-02 12:48:14,211 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-02 12:48:16,128 Node[0] Epoch[29] Validation-accuracy=0.858173 | |
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| 2016-05-02 12:49:37,220 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-02 12:49:37,221 Node[0] Epoch[30] Time cost=81.092 | |
| 2016-05-02 12:49:37,387 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-02 12:49:39,272 Node[0] Epoch[30] Validation-accuracy=0.829427 | |
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| 2016-05-02 12:50:52,031 Node[0] Epoch[31] Batch [350] Speed: 617.37 samples/sec Train-accuracy=0.915625 | |
| 2016-05-02 12:51:00,354 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-02 12:51:00,354 Node[0] Epoch[31] Time cost=81.083 | |
| 2016-05-02 12:51:00,516 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-02 12:51:02,404 Node[0] Epoch[31] Validation-accuracy=0.852163 | |
| 2016-05-02 12:51:12,799 Node[0] Epoch[32] Batch [50] Speed: 618.94 samples/sec Train-accuracy=0.914219 | |
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| 2016-05-02 12:52:23,692 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-02 12:52:23,693 Node[0] Epoch[32] Time cost=81.289 | |
| 2016-05-02 12:52:23,856 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-02 12:52:25,987 Node[0] Epoch[32] Validation-accuracy=0.861551 | |
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| 2016-05-02 12:53:47,162 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-02 12:53:47,163 Node[0] Epoch[33] Time cost=81.176 | |
| 2016-05-02 12:53:47,327 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-02 12:53:49,249 Node[0] Epoch[33] Validation-accuracy=0.850561 | |
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| 2016-05-02 12:55:10,047 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-02 12:55:10,047 Node[0] Epoch[34] Time cost=80.798 | |
| 2016-05-02 12:55:10,210 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-02 12:55:12,107 Node[0] Epoch[34] Validation-accuracy=0.863381 | |
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| 2016-05-02 12:56:33,172 Node[0] Epoch[35] Time cost=81.065 | |
| 2016-05-02 12:56:33,335 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-02 12:56:35,227 Node[0] Epoch[35] Validation-accuracy=0.853365 | |
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| 2016-05-02 12:57:56,288 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-02 12:57:56,288 Node[0] Epoch[36] Time cost=81.062 | |
| 2016-05-02 12:57:56,450 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-02 12:57:58,396 Node[0] Epoch[36] Validation-accuracy=0.867188 | |
| 2016-05-02 12:58:08,736 Node[0] Epoch[37] Batch [50] Speed: 622.22 samples/sec Train-accuracy=0.925000 | |
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| 2016-05-02 12:59:19,335 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-02 12:59:19,336 Node[0] Epoch[37] Time cost=80.940 | |
| 2016-05-02 12:59:19,499 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-02 12:59:21,386 Node[0] Epoch[37] Validation-accuracy=0.861478 | |
| 2016-05-02 12:59:31,790 Node[0] Epoch[38] Batch [50] Speed: 618.36 samples/sec Train-accuracy=0.918906 | |
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| 2016-05-02 13:00:42,735 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-02 13:00:42,735 Node[0] Epoch[38] Time cost=81.349 | |
| 2016-05-02 13:00:42,901 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-02 13:00:44,803 Node[0] Epoch[38] Validation-accuracy=0.865885 | |
| 2016-05-02 13:00:55,203 Node[0] Epoch[39] Batch [50] Speed: 618.75 samples/sec Train-accuracy=0.925156 | |
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| 2016-05-02 13:02:05,764 Node[0] Epoch[39] Resetting Data Iterator | |
| 2016-05-02 13:02:05,764 Node[0] Epoch[39] Time cost=80.961 | |
| 2016-05-02 13:02:05,926 Node[0] Saved checkpoint to "cifar10/resnet-0040.params" | |
| 2016-05-02 13:02:07,830 Node[0] Epoch[39] Validation-accuracy=0.856470 | |
| 2016-05-02 13:02:18,296 Node[0] Epoch[40] Batch [50] Speed: 614.78 samples/sec Train-accuracy=0.918125 | |
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| 2016-05-02 13:03:20,675 Node[0] Epoch[40] Batch [350] Speed: 616.22 samples/sec Train-accuracy=0.927656 | |
| 2016-05-02 13:03:29,182 Node[0] Epoch[40] Resetting Data Iterator | |
| 2016-05-02 13:03:29,183 Node[0] Epoch[40] Time cost=81.352 | |
| 2016-05-02 13:03:29,347 Node[0] Saved checkpoint to "cifar10/resnet-0041.params" | |
| 2016-05-02 13:03:31,421 Node[0] Epoch[40] Validation-accuracy=0.864913 | |
| 2016-05-02 13:03:41,868 Node[0] Epoch[41] Batch [50] Speed: 615.84 samples/sec Train-accuracy=0.927656 | |
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| 2016-05-02 13:04:52,813 Node[0] Epoch[41] Resetting Data Iterator | |
| 2016-05-02 13:04:52,813 Node[0] Epoch[41] Time cost=81.392 | |
| 2016-05-02 13:04:52,977 Node[0] Saved checkpoint to "cifar10/resnet-0042.params" | |
| 2016-05-02 13:04:54,917 Node[0] Epoch[41] Validation-accuracy=0.842748 | |
| 2016-05-02 13:05:05,463 Node[0] Epoch[42] Batch [50] Speed: 610.05 samples/sec Train-accuracy=0.925000 | |
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| 2016-05-02 13:06:07,985 Node[0] Epoch[42] Batch [350] Speed: 614.62 samples/sec Train-accuracy=0.927969 | |
| 2016-05-02 13:06:16,291 Node[0] Epoch[42] Resetting Data Iterator | |
| 2016-05-02 13:06:16,292 Node[0] Epoch[42] Time cost=81.375 | |
| 2016-05-02 13:06:16,454 Node[0] Saved checkpoint to "cifar10/resnet-0043.params" | |
| 2016-05-02 13:06:18,376 Node[0] Epoch[42] Validation-accuracy=0.861579 | |
| 2016-05-02 13:06:28,837 Node[0] Epoch[43] Batch [50] Speed: 615.02 samples/sec Train-accuracy=0.925156 | |
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| 2016-05-02 13:07:39,646 Node[0] Epoch[43] Resetting Data Iterator | |
| 2016-05-02 13:07:39,646 Node[0] Epoch[43] Time cost=81.270 | |
| 2016-05-02 13:07:39,812 Node[0] Saved checkpoint to "cifar10/resnet-0044.params" | |
| 2016-05-02 13:07:41,740 Node[0] Epoch[43] Validation-accuracy=0.859175 | |
| 2016-05-02 13:07:52,264 Node[0] Epoch[44] Batch [50] Speed: 611.45 samples/sec Train-accuracy=0.935625 | |
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| 2016-05-02 13:09:03,364 Node[0] Epoch[44] Resetting Data Iterator | |
| 2016-05-02 13:09:03,365 Node[0] Epoch[44] Time cost=81.624 | |
| 2016-05-02 13:09:03,527 Node[0] Saved checkpoint to "cifar10/resnet-0045.params" | |
| 2016-05-02 13:09:05,446 Node[0] Epoch[44] Validation-accuracy=0.858373 | |
| 2016-05-02 13:09:16,039 Node[0] Epoch[45] Batch [50] Speed: 607.42 samples/sec Train-accuracy=0.929531 | |
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| 2016-05-02 13:10:26,828 Node[0] Epoch[45] Resetting Data Iterator | |
| 2016-05-02 13:10:26,829 Node[0] Epoch[45] Time cost=81.382 | |
| 2016-05-02 13:10:26,994 Node[0] Saved checkpoint to "cifar10/resnet-0046.params" | |
| 2016-05-02 13:10:28,892 Node[0] Epoch[45] Validation-accuracy=0.862480 | |
| 2016-05-02 13:10:39,428 Node[0] Epoch[46] Batch [50] Speed: 610.75 samples/sec Train-accuracy=0.925937 | |
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| 2016-05-02 13:11:50,583 Node[0] Epoch[46] Resetting Data Iterator | |
| 2016-05-02 13:11:50,584 Node[0] Epoch[46] Time cost=81.691 | |
| 2016-05-02 13:11:50,746 Node[0] Saved checkpoint to "cifar10/resnet-0047.params" | |
| 2016-05-02 13:11:52,688 Node[0] Epoch[46] Validation-accuracy=0.863582 | |
| 2016-05-02 13:12:03,097 Node[0] Epoch[47] Batch [50] Speed: 618.07 samples/sec Train-accuracy=0.930781 | |
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| 2016-05-02 13:13:13,757 Node[0] Epoch[47] Resetting Data Iterator | |
| 2016-05-02 13:13:13,757 Node[0] Epoch[47] Time cost=81.069 | |
| 2016-05-02 13:13:13,922 Node[0] Saved checkpoint to "cifar10/resnet-0048.params" | |
| 2016-05-02 13:13:15,872 Node[0] Epoch[47] Validation-accuracy=0.873698 | |
| 2016-05-02 13:13:26,358 Node[0] Epoch[48] Batch [50] Speed: 613.64 samples/sec Train-accuracy=0.935937 | |
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| 2016-05-02 13:14:37,889 Node[0] Epoch[48] Resetting Data Iterator | |
| 2016-05-02 13:14:37,889 Node[0] Epoch[48] Time cost=82.017 | |
| 2016-05-02 13:14:38,054 Node[0] Saved checkpoint to "cifar10/resnet-0049.params" | |
| 2016-05-02 13:14:40,165 Node[0] Epoch[48] Validation-accuracy=0.852749 | |
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| 2016-05-02 13:16:01,860 Node[0] Epoch[49] Resetting Data Iterator | |
| 2016-05-02 13:16:01,860 Node[0] Epoch[49] Time cost=81.695 | |
| 2016-05-02 13:16:02,023 Node[0] Saved checkpoint to "cifar10/resnet-0050.params" | |
| 2016-05-02 13:16:03,931 Node[0] Epoch[49] Validation-accuracy=0.867889 | |
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| 2016-05-02 13:17:25,212 Node[0] Epoch[50] Time cost=81.281 | |
| 2016-05-02 13:17:25,377 Node[0] Saved checkpoint to "cifar10/resnet-0051.params" | |
| 2016-05-02 13:17:27,307 Node[0] Epoch[50] Validation-accuracy=0.833233 | |
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| 2016-05-02 13:18:48,928 Node[0] Epoch[51] Time cost=81.621 | |
| 2016-05-02 13:18:49,089 Node[0] Saved checkpoint to "cifar10/resnet-0052.params" | |
| 2016-05-02 13:18:50,986 Node[0] Epoch[51] Validation-accuracy=0.866887 | |
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| 2016-05-02 13:20:12,483 Node[0] Epoch[52] Time cost=81.497 | |
| 2016-05-02 13:20:12,645 Node[0] Saved checkpoint to "cifar10/resnet-0053.params" | |
| 2016-05-02 13:20:14,601 Node[0] Epoch[52] Validation-accuracy=0.875501 | |
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| 2016-05-02 13:21:35,854 Node[0] Epoch[53] Time cost=81.253 | |
| 2016-05-02 13:21:36,014 Node[0] Saved checkpoint to "cifar10/resnet-0054.params" | |
| 2016-05-02 13:21:37,913 Node[0] Epoch[53] Validation-accuracy=0.863181 | |
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| 2016-05-02 13:22:59,377 Node[0] Epoch[54] Resetting Data Iterator | |
| 2016-05-02 13:22:59,378 Node[0] Epoch[54] Time cost=81.465 | |
| 2016-05-02 13:22:59,540 Node[0] Saved checkpoint to "cifar10/resnet-0055.params" | |
| 2016-05-02 13:23:01,465 Node[0] Epoch[54] Validation-accuracy=0.873998 | |
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| 2016-05-02 13:24:23,013 Node[0] Epoch[55] Resetting Data Iterator | |
| 2016-05-02 13:24:23,013 Node[0] Epoch[55] Time cost=81.548 | |
| 2016-05-02 13:24:23,171 Node[0] Saved checkpoint to "cifar10/resnet-0056.params" | |
| 2016-05-02 13:24:25,114 Node[0] Epoch[55] Validation-accuracy=0.865485 | |
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| 2016-05-02 13:25:46,549 Node[0] Epoch[56] Resetting Data Iterator | |
| 2016-05-02 13:25:46,549 Node[0] Epoch[56] Time cost=81.435 | |
| 2016-05-02 13:25:46,714 Node[0] Saved checkpoint to "cifar10/resnet-0057.params" | |
| 2016-05-02 13:25:48,848 Node[0] Epoch[56] Validation-accuracy=0.870352 | |
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| 2016-05-02 13:27:01,777 Node[0] Epoch[57] Batch [350] Speed: 615.42 samples/sec Train-accuracy=0.938906 | |
| 2016-05-02 13:27:10,269 Node[0] Epoch[57] Resetting Data Iterator | |
| 2016-05-02 13:27:10,270 Node[0] Epoch[57] Time cost=81.422 | |
| 2016-05-02 13:27:10,435 Node[0] Saved checkpoint to "cifar10/resnet-0058.params" | |
| 2016-05-02 13:27:12,361 Node[0] Epoch[57] Validation-accuracy=0.877404 | |
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| 2016-05-02 13:28:34,062 Node[0] Epoch[58] Resetting Data Iterator | |
| 2016-05-02 13:28:34,062 Node[0] Epoch[58] Time cost=81.701 | |
| 2016-05-02 13:28:34,223 Node[0] Saved checkpoint to "cifar10/resnet-0059.params" | |
| 2016-05-02 13:28:36,152 Node[0] Epoch[58] Validation-accuracy=0.876603 | |
| 2016-05-02 13:28:46,691 Node[0] Epoch[59] Batch [50] Speed: 610.51 samples/sec Train-accuracy=0.939219 | |
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| 2016-05-02 13:29:57,578 Node[0] Epoch[59] Resetting Data Iterator | |
| 2016-05-02 13:29:57,579 Node[0] Epoch[59] Time cost=81.426 | |
| 2016-05-02 13:29:57,746 Node[0] Saved checkpoint to "cifar10/resnet-0060.params" | |
| 2016-05-02 13:29:59,685 Node[0] Epoch[59] Validation-accuracy=0.841546 | |
| 2016-05-02 13:30:10,217 Node[0] Epoch[60] Batch [50] Speed: 610.98 samples/sec Train-accuracy=0.937187 | |
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| 2016-05-02 13:31:21,123 Node[0] Epoch[60] Resetting Data Iterator | |
| 2016-05-02 13:31:21,124 Node[0] Epoch[60] Time cost=81.438 | |
| 2016-05-02 13:31:21,285 Node[0] Saved checkpoint to "cifar10/resnet-0061.params" | |
| 2016-05-02 13:31:23,214 Node[0] Epoch[60] Validation-accuracy=0.867588 | |
| 2016-05-02 13:31:33,737 Node[0] Epoch[61] Batch [50] Speed: 611.46 samples/sec Train-accuracy=0.939375 | |
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| 2016-05-02 13:32:44,612 Node[0] Epoch[61] Resetting Data Iterator | |
| 2016-05-02 13:32:44,613 Node[0] Epoch[61] Time cost=81.398 | |
| 2016-05-02 13:32:44,776 Node[0] Saved checkpoint to "cifar10/resnet-0062.params" | |
| 2016-05-02 13:32:46,687 Node[0] Epoch[61] Validation-accuracy=0.881811 | |
| 2016-05-02 13:32:57,120 Node[0] Epoch[62] Batch [50] Speed: 616.78 samples/sec Train-accuracy=0.944844 | |
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| 2016-05-02 13:34:08,097 Node[0] Epoch[62] Resetting Data Iterator | |
| 2016-05-02 13:34:08,098 Node[0] Epoch[62] Time cost=81.411 | |
| 2016-05-02 13:34:08,265 Node[0] Saved checkpoint to "cifar10/resnet-0063.params" | |
| 2016-05-02 13:34:10,170 Node[0] Epoch[62] Validation-accuracy=0.864984 | |
| 2016-05-02 13:34:20,613 Node[0] Epoch[63] Batch [50] Speed: 616.13 samples/sec Train-accuracy=0.938906 | |
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| 2016-05-02 13:35:31,417 Node[0] Epoch[63] Resetting Data Iterator | |
| 2016-05-02 13:35:31,417 Node[0] Epoch[63] Time cost=81.247 | |
| 2016-05-02 13:35:31,584 Node[0] Saved checkpoint to "cifar10/resnet-0064.params" | |
| 2016-05-02 13:35:33,518 Node[0] Epoch[63] Validation-accuracy=0.863982 | |
| 2016-05-02 13:35:44,101 Node[0] Epoch[64] Batch [50] Speed: 607.98 samples/sec Train-accuracy=0.943281 | |
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| 2016-05-02 13:36:54,904 Node[0] Epoch[64] Resetting Data Iterator | |
| 2016-05-02 13:36:54,905 Node[0] Epoch[64] Time cost=81.387 | |
| 2016-05-02 13:36:55,071 Node[0] Saved checkpoint to "cifar10/resnet-0065.params" | |
| 2016-05-02 13:36:57,159 Node[0] Epoch[64] Validation-accuracy=0.869858 | |
| 2016-05-02 13:37:07,691 Node[0] Epoch[65] Batch [50] Speed: 611.00 samples/sec Train-accuracy=0.946406 | |
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| 2016-05-02 13:37:28,509 Node[0] Epoch[65] Batch [150] Speed: 615.47 samples/sec Train-accuracy=0.940625 | |
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| 2016-05-02 13:38:18,825 Node[0] Epoch[65] Resetting Data Iterator | |
| 2016-05-02 13:38:18,825 Node[0] Epoch[65] Time cost=81.666 | |
| 2016-05-02 13:38:18,990 Node[0] Saved checkpoint to "cifar10/resnet-0066.params" | |
| 2016-05-02 13:38:20,918 Node[0] Epoch[65] Validation-accuracy=0.874299 | |
| 2016-05-02 13:38:31,338 Node[0] Epoch[66] Batch [50] Speed: 617.52 samples/sec Train-accuracy=0.941562 | |
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| 2016-05-02 13:39:42,255 Node[0] Epoch[66] Resetting Data Iterator | |
| 2016-05-02 13:39:42,256 Node[0] Epoch[66] Time cost=81.338 | |
| 2016-05-02 13:39:42,417 Node[0] Saved checkpoint to "cifar10/resnet-0067.params" | |
| 2016-05-02 13:39:44,338 Node[0] Epoch[66] Validation-accuracy=0.866887 | |
| 2016-05-02 13:39:54,830 Node[0] Epoch[67] Batch [50] Speed: 613.19 samples/sec Train-accuracy=0.942656 | |
| 2016-05-02 13:40:05,267 Node[0] Epoch[67] Batch [100] Speed: 613.24 samples/sec Train-accuracy=0.945156 | |
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| 2016-05-02 13:41:06,048 Node[0] Epoch[67] Resetting Data Iterator | |
| 2016-05-02 13:41:06,048 Node[0] Epoch[67] Time cost=81.709 | |
| 2016-05-02 13:41:06,218 Node[0] Saved checkpoint to "cifar10/resnet-0068.params" | |
| 2016-05-02 13:41:08,089 Node[0] Epoch[67] Validation-accuracy=0.880509 | |
| 2016-05-02 13:41:18,513 Node[0] Epoch[68] Batch [50] Speed: 617.21 samples/sec Train-accuracy=0.940469 | |
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| 2016-05-02 13:42:21,261 Node[0] Epoch[68] Batch [350] Speed: 605.30 samples/sec Train-accuracy=0.945000 | |
| 2016-05-02 13:42:29,870 Node[0] Epoch[68] Resetting Data Iterator | |
| 2016-05-02 13:42:29,870 Node[0] Epoch[68] Time cost=81.781 | |
| 2016-05-02 13:42:30,032 Node[0] Saved checkpoint to "cifar10/resnet-0069.params" | |
| 2016-05-02 13:42:31,920 Node[0] Epoch[68] Validation-accuracy=0.871394 | |
| 2016-05-02 13:42:42,365 Node[0] Epoch[69] Batch [50] Speed: 616.00 samples/sec Train-accuracy=0.940312 | |
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| 2016-05-02 13:43:53,286 Node[0] Epoch[69] Resetting Data Iterator | |
| 2016-05-02 13:43:53,286 Node[0] Epoch[69] Time cost=81.365 | |
| 2016-05-02 13:43:53,449 Node[0] Saved checkpoint to "cifar10/resnet-0070.params" | |
| 2016-05-02 13:43:55,346 Node[0] Epoch[69] Validation-accuracy=0.874900 | |
| 2016-05-02 13:44:05,810 Node[0] Epoch[70] Batch [50] Speed: 614.84 samples/sec Train-accuracy=0.945469 | |
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| 2016-05-02 13:45:16,882 Node[0] Epoch[70] Resetting Data Iterator | |
| 2016-05-02 13:45:16,883 Node[0] Epoch[70] Time cost=81.536 | |
| 2016-05-02 13:45:17,046 Node[0] Saved checkpoint to "cifar10/resnet-0071.params" | |
| 2016-05-02 13:45:18,991 Node[0] Epoch[70] Validation-accuracy=0.869692 | |
| 2016-05-02 13:45:29,404 Node[0] Epoch[71] Batch [50] Speed: 617.90 samples/sec Train-accuracy=0.950000 | |
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| 2016-05-02 13:46:32,162 Node[0] Epoch[71] Batch [350] Speed: 610.38 samples/sec Train-accuracy=0.946250 | |
| 2016-05-02 13:46:40,507 Node[0] Epoch[71] Resetting Data Iterator | |
| 2016-05-02 13:46:40,507 Node[0] Epoch[71] Time cost=81.516 | |
| 2016-05-02 13:46:40,669 Node[0] Saved checkpoint to "cifar10/resnet-0072.params" | |
| 2016-05-02 13:46:42,569 Node[0] Epoch[71] Validation-accuracy=0.894030 | |
| 2016-05-02 13:46:52,939 Node[0] Epoch[72] Batch [50] Speed: 620.47 samples/sec Train-accuracy=0.948281 | |
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| 2016-05-02 13:47:55,569 Node[0] Epoch[72] Batch [350] Speed: 611.38 samples/sec Train-accuracy=0.943125 | |
| 2016-05-02 13:48:04,144 Node[0] Epoch[72] Resetting Data Iterator | |
| 2016-05-02 13:48:04,145 Node[0] Epoch[72] Time cost=81.576 | |
| 2016-05-02 13:48:04,311 Node[0] Saved checkpoint to "cifar10/resnet-0073.params" | |
| 2016-05-02 13:48:06,420 Node[0] Epoch[72] Validation-accuracy=0.875791 | |
| 2016-05-02 13:48:16,853 Node[0] Epoch[73] Batch [50] Speed: 616.64 samples/sec Train-accuracy=0.947969 | |
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| 2016-05-02 13:49:19,448 Node[0] Epoch[73] Batch [350] Speed: 613.73 samples/sec Train-accuracy=0.944375 | |
| 2016-05-02 13:49:28,001 Node[0] Epoch[73] Resetting Data Iterator | |
| 2016-05-02 13:49:28,001 Node[0] Epoch[73] Time cost=81.581 | |
| 2016-05-02 13:49:28,164 Node[0] Saved checkpoint to "cifar10/resnet-0074.params" | |
| 2016-05-02 13:49:30,060 Node[0] Epoch[73] Validation-accuracy=0.883213 | |
| 2016-05-02 13:49:40,616 Node[0] Epoch[74] Batch [50] Speed: 609.46 samples/sec Train-accuracy=0.943125 | |
| 2016-05-02 13:49:50,970 Node[0] Epoch[74] Batch [100] Speed: 618.16 samples/sec Train-accuracy=0.945781 | |
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| 2016-05-02 13:50:32,818 Node[0] Epoch[74] Batch [300] Speed: 609.45 samples/sec Train-accuracy=0.945000 | |
| 2016-05-02 13:50:43,284 Node[0] Epoch[74] Batch [350] Speed: 611.56 samples/sec Train-accuracy=0.942031 | |
| 2016-05-02 13:50:51,683 Node[0] Epoch[74] Resetting Data Iterator | |
| 2016-05-02 13:50:51,684 Node[0] Epoch[74] Time cost=81.623 | |
| 2016-05-02 13:50:51,846 Node[0] Saved checkpoint to "cifar10/resnet-0075.params" | |
| 2016-05-02 13:50:53,742 Node[0] Epoch[74] Validation-accuracy=0.878305 | |
| 2016-05-02 13:51:04,215 Node[0] Epoch[75] Batch [50] Speed: 614.25 samples/sec Train-accuracy=0.945000 | |
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| 2016-05-02 13:52:06,954 Node[0] Epoch[75] Batch [350] Speed: 610.47 samples/sec Train-accuracy=0.942969 | |
| 2016-05-02 13:52:15,528 Node[0] Epoch[75] Resetting Data Iterator | |
| 2016-05-02 13:52:15,528 Node[0] Epoch[75] Time cost=81.786 | |
| 2016-05-02 13:52:15,696 Node[0] Saved checkpoint to "cifar10/resnet-0076.params" | |
| 2016-05-02 13:52:17,615 Node[0] Epoch[75] Validation-accuracy=0.876002 | |
| 2016-05-02 13:52:28,132 Node[0] Epoch[76] Batch [50] Speed: 611.68 samples/sec Train-accuracy=0.942187 | |
| 2016-05-02 13:52:38,566 Node[0] Epoch[76] Batch [100] Speed: 613.40 samples/sec Train-accuracy=0.946250 | |
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| 2016-05-02 13:53:30,886 Node[0] Epoch[76] Batch [350] Speed: 610.72 samples/sec Train-accuracy=0.940937 | |
| 2016-05-02 13:53:39,531 Node[0] Epoch[76] Resetting Data Iterator | |
| 2016-05-02 13:53:39,531 Node[0] Epoch[76] Time cost=81.916 | |
| 2016-05-02 13:53:39,695 Node[0] Saved checkpoint to "cifar10/resnet-0077.params" | |
| 2016-05-02 13:53:41,598 Node[0] Epoch[76] Validation-accuracy=0.854367 | |
| 2016-05-02 13:53:52,025 Node[0] Epoch[77] Batch [50] Speed: 617.06 samples/sec Train-accuracy=0.947500 | |
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| 2016-05-02 13:54:54,541 Node[0] Epoch[77] Batch [350] Speed: 610.16 samples/sec Train-accuracy=0.943281 | |
| 2016-05-02 13:55:02,894 Node[0] Epoch[77] Resetting Data Iterator | |
| 2016-05-02 13:55:02,894 Node[0] Epoch[77] Time cost=81.297 | |
| 2016-05-02 13:55:03,060 Node[0] Saved checkpoint to "cifar10/resnet-0078.params" | |
| 2016-05-02 13:55:04,971 Node[0] Epoch[77] Validation-accuracy=0.869892 | |
| 2016-05-02 13:55:15,381 Node[0] Epoch[78] Batch [50] Speed: 617.95 samples/sec Train-accuracy=0.947031 | |
| 2016-05-02 13:55:25,853 Node[0] Epoch[78] Batch [100] Speed: 611.21 samples/sec Train-accuracy=0.948750 | |
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| 2016-05-02 13:56:07,444 Node[0] Epoch[78] Batch [300] Speed: 615.64 samples/sec Train-accuracy=0.947187 | |
| 2016-05-02 13:56:17,956 Node[0] Epoch[78] Batch [350] Speed: 608.84 samples/sec Train-accuracy=0.947656 | |
| 2016-05-02 13:56:26,529 Node[0] Epoch[78] Resetting Data Iterator | |
| 2016-05-02 13:56:26,529 Node[0] Epoch[78] Time cost=81.558 | |
| 2016-05-02 13:56:26,692 Node[0] Saved checkpoint to "cifar10/resnet-0079.params" | |
| 2016-05-02 13:56:28,594 Node[0] Epoch[78] Validation-accuracy=0.860377 | |
| 2016-05-02 13:56:39,007 Node[0] Epoch[79] Batch [50] Speed: 617.81 samples/sec Train-accuracy=0.949219 | |
| 2016-05-02 13:56:49,411 Node[0] Epoch[79] Batch [100] Speed: 615.19 samples/sec Train-accuracy=0.947187 | |
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| 2016-05-02 13:57:30,917 Node[0] Epoch[79] Batch [300] Speed: 614.41 samples/sec Train-accuracy=0.950313 | |
| 2016-05-02 13:57:39,226 Node[0] Update[31201]: Change learning rate to 1.00000e-02 | |
| 2016-05-02 13:57:41,303 Node[0] Epoch[79] Batch [350] Speed: 616.21 samples/sec Train-accuracy=0.950469 | |
| 2016-05-02 13:57:49,635 Node[0] Epoch[79] Resetting Data Iterator | |
| 2016-05-02 13:57:49,635 Node[0] Epoch[79] Time cost=81.042 | |
| 2016-05-02 13:57:49,795 Node[0] Saved checkpoint to "cifar10/resnet-0080.params" | |
| 2016-05-02 13:57:51,727 Node[0] Epoch[79] Validation-accuracy=0.893830 | |
| 2016-05-02 13:58:02,323 Node[0] Epoch[80] Batch [50] Speed: 607.25 samples/sec Train-accuracy=0.951719 | |
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| 2016-05-02 13:59:04,792 Node[0] Epoch[80] Batch [350] Speed: 611.76 samples/sec Train-accuracy=0.979531 | |
| 2016-05-02 13:59:13,394 Node[0] Epoch[80] Resetting Data Iterator | |
| 2016-05-02 13:59:13,394 Node[0] Epoch[80] Time cost=81.667 | |
| 2016-05-02 13:59:13,556 Node[0] Saved checkpoint to "cifar10/resnet-0081.params" | |
| 2016-05-02 13:59:15,670 Node[0] Epoch[80] Validation-accuracy=0.912579 | |
| 2016-05-02 13:59:26,154 Node[0] Epoch[81] Batch [50] Speed: 613.70 samples/sec Train-accuracy=0.977187 | |
| 2016-05-02 13:59:36,534 Node[0] Epoch[81] Batch [100] Speed: 616.57 samples/sec Train-accuracy=0.976875 | |
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| 2016-05-02 14:00:07,695 Node[0] Epoch[81] Batch [250] Speed: 615.75 samples/sec Train-accuracy=0.982812 | |
| 2016-05-02 14:00:18,144 Node[0] Epoch[81] Batch [300] Speed: 612.55 samples/sec Train-accuracy=0.984531 | |
| 2016-05-02 14:00:28,622 Node[0] Epoch[81] Batch [350] Speed: 610.81 samples/sec Train-accuracy=0.986875 | |
| 2016-05-02 14:00:37,184 Node[0] Epoch[81] Resetting Data Iterator | |
| 2016-05-02 14:00:37,184 Node[0] Epoch[81] Time cost=81.514 | |
| 2016-05-02 14:00:37,353 Node[0] Saved checkpoint to "cifar10/resnet-0082.params" | |
| 2016-05-02 14:00:39,259 Node[0] Epoch[81] Validation-accuracy=0.917468 | |
| 2016-05-02 14:00:49,681 Node[0] Epoch[82] Batch [50] Speed: 617.35 samples/sec Train-accuracy=0.980625 | |
| 2016-05-02 14:01:00,175 Node[0] Epoch[82] Batch [100] Speed: 609.88 samples/sec Train-accuracy=0.985156 | |
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| 2016-05-02 14:02:00,631 Node[0] Epoch[82] Resetting Data Iterator | |
| 2016-05-02 14:02:00,632 Node[0] Epoch[82] Time cost=81.373 | |
| 2016-05-02 14:02:00,799 Node[0] Saved checkpoint to "cifar10/resnet-0083.params" | |
| 2016-05-02 14:02:02,713 Node[0] Epoch[82] Validation-accuracy=0.919872 | |
| 2016-05-02 14:02:13,129 Node[0] Epoch[83] Batch [50] Speed: 617.80 samples/sec Train-accuracy=0.984062 | |
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| 2016-05-02 14:03:24,127 Node[0] Epoch[83] Resetting Data Iterator | |
| 2016-05-02 14:03:24,127 Node[0] Epoch[83] Time cost=81.414 | |
| 2016-05-02 14:03:24,297 Node[0] Saved checkpoint to "cifar10/resnet-0084.params" | |
| 2016-05-02 14:03:26,228 Node[0] Epoch[83] Validation-accuracy=0.917869 | |
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| 2016-05-02 14:04:47,521 Node[0] Epoch[84] Resetting Data Iterator | |
| 2016-05-02 14:04:47,521 Node[0] Epoch[84] Time cost=81.293 | |
| 2016-05-02 14:04:47,688 Node[0] Saved checkpoint to "cifar10/resnet-0085.params" | |
| 2016-05-02 14:04:49,654 Node[0] Epoch[84] Validation-accuracy=0.919671 | |
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| 2016-05-02 14:06:10,691 Node[0] Epoch[85] Resetting Data Iterator | |
| 2016-05-02 14:06:10,691 Node[0] Epoch[85] Time cost=81.036 | |
| 2016-05-02 14:06:10,853 Node[0] Saved checkpoint to "cifar10/resnet-0086.params" | |
| 2016-05-02 14:06:12,772 Node[0] Epoch[85] Validation-accuracy=0.920573 | |
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| 2016-05-02 14:07:34,283 Node[0] Epoch[86] Time cost=81.511 | |
| 2016-05-02 14:07:34,444 Node[0] Saved checkpoint to "cifar10/resnet-0087.params" | |
| 2016-05-02 14:07:36,355 Node[0] Epoch[86] Validation-accuracy=0.922276 | |
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| 2016-05-02 14:08:57,453 Node[0] Epoch[87] Time cost=81.097 | |
| 2016-05-02 14:08:57,618 Node[0] Saved checkpoint to "cifar10/resnet-0088.params" | |
| 2016-05-02 14:08:59,528 Node[0] Epoch[87] Validation-accuracy=0.921374 | |
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| 2016-05-02 14:10:20,971 Node[0] Epoch[88] Resetting Data Iterator | |
| 2016-05-02 14:10:20,971 Node[0] Epoch[88] Time cost=81.442 | |
| 2016-05-02 14:10:21,140 Node[0] Saved checkpoint to "cifar10/resnet-0089.params" | |
| 2016-05-02 14:10:23,268 Node[0] Epoch[88] Validation-accuracy=0.920688 | |
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| 2016-05-02 14:11:44,787 Node[0] Epoch[89] Resetting Data Iterator | |
| 2016-05-02 14:11:44,788 Node[0] Epoch[89] Time cost=81.519 | |
| 2016-05-02 14:11:44,951 Node[0] Saved checkpoint to "cifar10/resnet-0090.params" | |
| 2016-05-02 14:11:46,854 Node[0] Epoch[89] Validation-accuracy=0.921575 | |
| 2016-05-02 14:11:57,405 Node[0] Epoch[90] Batch [50] Speed: 609.76 samples/sec Train-accuracy=0.992031 | |
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| 2016-05-02 14:12:59,872 Node[0] Epoch[90] Batch [350] Speed: 609.78 samples/sec Train-accuracy=0.994062 | |
| 2016-05-02 14:13:08,272 Node[0] Epoch[90] Resetting Data Iterator | |
| 2016-05-02 14:13:08,273 Node[0] Epoch[90] Time cost=81.419 | |
| 2016-05-02 14:13:08,434 Node[0] Saved checkpoint to "cifar10/resnet-0091.params" | |
| 2016-05-02 14:13:10,350 Node[0] Epoch[90] Validation-accuracy=0.921474 | |
| 2016-05-02 14:13:20,765 Node[0] Epoch[91] Batch [50] Speed: 617.71 samples/sec Train-accuracy=0.993437 | |
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| 2016-05-02 14:14:23,180 Node[0] Epoch[91] Batch [350] Speed: 611.67 samples/sec Train-accuracy=0.993906 | |
| 2016-05-02 14:14:31,741 Node[0] Epoch[91] Resetting Data Iterator | |
| 2016-05-02 14:14:31,741 Node[0] Epoch[91] Time cost=81.391 | |
| 2016-05-02 14:14:31,905 Node[0] Saved checkpoint to "cifar10/resnet-0092.params" | |
| 2016-05-02 14:14:33,816 Node[0] Epoch[91] Validation-accuracy=0.919772 | |
| 2016-05-02 14:14:44,187 Node[0] Epoch[92] Batch [50] Speed: 620.40 samples/sec Train-accuracy=0.992656 | |
| 2016-05-02 14:14:54,575 Node[0] Epoch[92] Batch [100] Speed: 616.09 samples/sec Train-accuracy=0.993281 | |
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| 2016-05-02 14:15:55,152 Node[0] Epoch[92] Resetting Data Iterator | |
| 2016-05-02 14:15:55,153 Node[0] Epoch[92] Time cost=81.336 | |
| 2016-05-02 14:15:55,313 Node[0] Saved checkpoint to "cifar10/resnet-0093.params" | |
| 2016-05-02 14:15:57,216 Node[0] Epoch[92] Validation-accuracy=0.923177 | |
| 2016-05-02 14:16:07,762 Node[0] Epoch[93] Batch [50] Speed: 610.08 samples/sec Train-accuracy=0.994531 | |
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| 2016-05-02 14:17:10,272 Node[0] Epoch[93] Batch [350] Speed: 613.27 samples/sec Train-accuracy=0.995469 | |
| 2016-05-02 14:17:18,586 Node[0] Epoch[93] Resetting Data Iterator | |
| 2016-05-02 14:17:18,586 Node[0] Epoch[93] Time cost=81.369 | |
| 2016-05-02 14:17:18,752 Node[0] Saved checkpoint to "cifar10/resnet-0094.params" | |
| 2016-05-02 14:17:20,670 Node[0] Epoch[93] Validation-accuracy=0.921274 | |
| 2016-05-02 14:17:31,186 Node[0] Epoch[94] Batch [50] Speed: 611.80 samples/sec Train-accuracy=0.994844 | |
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| 2016-05-02 14:18:02,615 Node[0] Epoch[94] Batch [200] Speed: 613.17 samples/sec Train-accuracy=0.995781 | |
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| 2016-05-02 14:18:33,819 Node[0] Epoch[94] Batch [350] Speed: 613.70 samples/sec Train-accuracy=0.996094 | |
| 2016-05-02 14:18:42,425 Node[0] Epoch[94] Resetting Data Iterator | |
| 2016-05-02 14:18:42,426 Node[0] Epoch[94] Time cost=81.756 | |
| 2016-05-02 14:18:42,588 Node[0] Saved checkpoint to "cifar10/resnet-0095.params" | |
| 2016-05-02 14:18:44,516 Node[0] Epoch[94] Validation-accuracy=0.921374 | |
| 2016-05-02 14:18:54,951 Node[0] Epoch[95] Batch [50] Speed: 616.55 samples/sec Train-accuracy=0.995469 | |
| 2016-05-02 14:19:05,402 Node[0] Epoch[95] Batch [100] Speed: 612.42 samples/sec Train-accuracy=0.996563 | |
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| 2016-05-02 14:20:06,020 Node[0] Epoch[95] Resetting Data Iterator | |
| 2016-05-02 14:20:06,020 Node[0] Epoch[95] Time cost=81.504 | |
| 2016-05-02 14:20:06,190 Node[0] Saved checkpoint to "cifar10/resnet-0096.params" | |
| 2016-05-02 14:20:08,109 Node[0] Epoch[95] Validation-accuracy=0.921975 | |
| 2016-05-02 14:20:18,591 Node[0] Epoch[96] Batch [50] Speed: 613.79 samples/sec Train-accuracy=0.994844 | |
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| 2016-05-02 14:21:29,877 Node[0] Epoch[96] Resetting Data Iterator | |
| 2016-05-02 14:21:29,877 Node[0] Epoch[96] Time cost=81.769 | |
| 2016-05-02 14:21:30,041 Node[0] Saved checkpoint to "cifar10/resnet-0097.params" | |
| 2016-05-02 14:21:32,136 Node[0] Epoch[96] Validation-accuracy=0.921578 | |
| 2016-05-02 14:21:42,554 Node[0] Epoch[97] Batch [50] Speed: 617.61 samples/sec Train-accuracy=0.995625 | |
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| 2016-05-02 14:22:53,699 Node[0] Epoch[97] Resetting Data Iterator | |
| 2016-05-02 14:22:53,699 Node[0] Epoch[97] Time cost=81.563 | |
| 2016-05-02 14:22:53,863 Node[0] Saved checkpoint to "cifar10/resnet-0098.params" | |
| 2016-05-02 14:22:55,805 Node[0] Epoch[97] Validation-accuracy=0.921374 | |
| 2016-05-02 14:23:06,287 Node[0] Epoch[98] Batch [50] Speed: 613.84 samples/sec Train-accuracy=0.995469 | |
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| 2016-05-02 14:24:17,295 Node[0] Epoch[98] Resetting Data Iterator | |
| 2016-05-02 14:24:17,295 Node[0] Epoch[98] Time cost=81.490 | |
| 2016-05-02 14:24:17,458 Node[0] Saved checkpoint to "cifar10/resnet-0099.params" | |
| 2016-05-02 14:24:19,365 Node[0] Epoch[98] Validation-accuracy=0.922276 | |
| 2016-05-02 14:24:29,816 Node[0] Epoch[99] Batch [50] Speed: 615.62 samples/sec Train-accuracy=0.996719 | |
| 2016-05-02 14:24:40,320 Node[0] Epoch[99] Batch [100] Speed: 609.30 samples/sec Train-accuracy=0.997031 | |
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| 2016-05-02 14:25:41,183 Node[0] Epoch[99] Resetting Data Iterator | |
| 2016-05-02 14:25:41,184 Node[0] Epoch[99] Time cost=81.818 | |
| 2016-05-02 14:25:41,347 Node[0] Saved checkpoint to "cifar10/resnet-0100.params" | |
| 2016-05-02 14:25:43,271 Node[0] Epoch[99] Validation-accuracy=0.921975 | |
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| 2016-05-02 14:27:04,990 Node[0] Epoch[100] Time cost=81.719 | |
| 2016-05-02 14:27:05,152 Node[0] Saved checkpoint to "cifar10/resnet-0101.params" | |
| 2016-05-02 14:27:07,097 Node[0] Epoch[100] Validation-accuracy=0.923678 | |
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| 2016-05-02 14:28:28,764 Node[0] Epoch[101] Resetting Data Iterator | |
| 2016-05-02 14:28:28,764 Node[0] Epoch[101] Time cost=81.667 | |
| 2016-05-02 14:28:28,928 Node[0] Saved checkpoint to "cifar10/resnet-0102.params" | |
| 2016-05-02 14:28:30,832 Node[0] Epoch[101] Validation-accuracy=0.921274 | |
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| 2016-05-02 14:29:52,437 Node[0] Epoch[102] Time cost=81.604 | |
| 2016-05-02 14:29:52,596 Node[0] Saved checkpoint to "cifar10/resnet-0103.params" | |
| 2016-05-02 14:29:54,497 Node[0] Epoch[102] Validation-accuracy=0.923277 | |
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| 2016-05-02 14:31:15,974 Node[0] Epoch[103] Time cost=81.477 | |
| 2016-05-02 14:31:16,135 Node[0] Saved checkpoint to "cifar10/resnet-0104.params" | |
| 2016-05-02 14:31:18,026 Node[0] Epoch[103] Validation-accuracy=0.922075 | |
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| 2016-05-02 14:32:39,696 Node[0] Epoch[104] Resetting Data Iterator | |
| 2016-05-02 14:32:39,697 Node[0] Epoch[104] Time cost=81.670 | |
| 2016-05-02 14:32:39,862 Node[0] Saved checkpoint to "cifar10/resnet-0105.params" | |
| 2016-05-02 14:32:42,019 Node[0] Epoch[104] Validation-accuracy=0.921875 | |
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| 2016-05-02 14:34:03,758 Node[0] Epoch[105] Resetting Data Iterator | |
| 2016-05-02 14:34:03,758 Node[0] Epoch[105] Time cost=81.739 | |
| 2016-05-02 14:34:03,927 Node[0] Saved checkpoint to "cifar10/resnet-0106.params" | |
| 2016-05-02 14:34:05,839 Node[0] Epoch[105] Validation-accuracy=0.921675 | |
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| 2016-05-02 14:35:27,620 Node[0] Epoch[106] Resetting Data Iterator | |
| 2016-05-02 14:35:27,620 Node[0] Epoch[106] Time cost=81.781 | |
| 2016-05-02 14:35:27,785 Node[0] Saved checkpoint to "cifar10/resnet-0107.params" | |
| 2016-05-02 14:35:29,699 Node[0] Epoch[106] Validation-accuracy=0.922776 | |
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| 2016-05-02 14:36:42,732 Node[0] Epoch[107] Batch [350] Speed: 612.40 samples/sec Train-accuracy=0.997969 | |
| 2016-05-02 14:36:51,332 Node[0] Epoch[107] Resetting Data Iterator | |
| 2016-05-02 14:36:51,332 Node[0] Epoch[107] Time cost=81.633 | |
| 2016-05-02 14:36:51,501 Node[0] Saved checkpoint to "cifar10/resnet-0108.params" | |
| 2016-05-02 14:36:53,405 Node[0] Epoch[107] Validation-accuracy=0.921374 | |
| 2016-05-02 14:37:03,893 Node[0] Epoch[108] Batch [50] Speed: 613.48 samples/sec Train-accuracy=0.998594 | |
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| 2016-05-02 14:38:15,285 Node[0] Epoch[108] Resetting Data Iterator | |
| 2016-05-02 14:38:15,285 Node[0] Epoch[108] Time cost=81.880 | |
| 2016-05-02 14:38:15,451 Node[0] Saved checkpoint to "cifar10/resnet-0109.params" | |
| 2016-05-02 14:38:17,379 Node[0] Epoch[108] Validation-accuracy=0.922576 | |
| 2016-05-02 14:38:27,972 Node[0] Epoch[109] Batch [50] Speed: 607.41 samples/sec Train-accuracy=0.996875 | |
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| 2016-05-02 14:39:39,000 Node[0] Epoch[109] Resetting Data Iterator | |
| 2016-05-02 14:39:39,000 Node[0] Epoch[109] Time cost=81.622 | |
| 2016-05-02 14:39:39,164 Node[0] Saved checkpoint to "cifar10/resnet-0110.params" | |
| 2016-05-02 14:39:41,093 Node[0] Epoch[109] Validation-accuracy=0.921074 | |
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| 2016-05-02 14:41:02,837 Node[0] Epoch[110] Resetting Data Iterator | |
| 2016-05-02 14:41:02,837 Node[0] Epoch[110] Time cost=81.744 | |
| 2016-05-02 14:41:03,000 Node[0] Saved checkpoint to "cifar10/resnet-0111.params" | |
| 2016-05-02 14:41:04,921 Node[0] Epoch[110] Validation-accuracy=0.922476 | |
| 2016-05-02 14:41:15,436 Node[0] Epoch[111] Batch [50] Speed: 611.89 samples/sec Train-accuracy=0.997812 | |
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| 2016-05-02 14:42:26,375 Node[0] Epoch[111] Resetting Data Iterator | |
| 2016-05-02 14:42:26,375 Node[0] Epoch[111] Time cost=81.455 | |
| 2016-05-02 14:42:26,538 Node[0] Saved checkpoint to "cifar10/resnet-0112.params" | |
| 2016-05-02 14:42:28,435 Node[0] Epoch[111] Validation-accuracy=0.920873 | |
| 2016-05-02 14:42:38,888 Node[0] Epoch[112] Batch [50] Speed: 615.57 samples/sec Train-accuracy=0.998594 | |
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| 2016-05-02 14:43:50,048 Node[0] Epoch[112] Resetting Data Iterator | |
| 2016-05-02 14:43:50,048 Node[0] Epoch[112] Time cost=81.613 | |
| 2016-05-02 14:43:50,218 Node[0] Saved checkpoint to "cifar10/resnet-0113.params" | |
| 2016-05-02 14:43:52,326 Node[0] Epoch[112] Validation-accuracy=0.922468 | |
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| 2016-05-02 14:45:13,870 Node[0] Epoch[113] Resetting Data Iterator | |
| 2016-05-02 14:45:13,871 Node[0] Epoch[113] Time cost=81.545 | |
| 2016-05-02 14:45:14,033 Node[0] Saved checkpoint to "cifar10/resnet-0114.params" | |
| 2016-05-02 14:45:15,938 Node[0] Epoch[113] Validation-accuracy=0.922075 | |
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| 2016-05-02 14:46:37,341 Node[0] Epoch[114] Resetting Data Iterator | |
| 2016-05-02 14:46:37,341 Node[0] Epoch[114] Time cost=81.404 | |
| 2016-05-02 14:46:37,504 Node[0] Saved checkpoint to "cifar10/resnet-0115.params" | |
| 2016-05-02 14:46:39,387 Node[0] Epoch[114] Validation-accuracy=0.922075 | |
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| 2016-05-02 14:48:00,972 Node[0] Epoch[115] Resetting Data Iterator | |
| 2016-05-02 14:48:00,972 Node[0] Epoch[115] Time cost=81.585 | |
| 2016-05-02 14:48:01,138 Node[0] Saved checkpoint to "cifar10/resnet-0116.params" | |
| 2016-05-02 14:48:03,038 Node[0] Epoch[115] Validation-accuracy=0.922676 | |
| 2016-05-02 14:48:13,486 Node[0] Epoch[116] Batch [50] Speed: 615.72 samples/sec Train-accuracy=0.998437 | |
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| 2016-05-02 14:49:24,683 Node[0] Epoch[116] Resetting Data Iterator | |
| 2016-05-02 14:49:24,684 Node[0] Epoch[116] Time cost=81.646 | |
| 2016-05-02 14:49:24,848 Node[0] Saved checkpoint to "cifar10/resnet-0117.params" | |
| 2016-05-02 14:49:26,772 Node[0] Epoch[116] Validation-accuracy=0.921775 | |
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| 2016-05-02 14:50:48,122 Node[0] Epoch[117] Time cost=81.349 | |
| 2016-05-02 14:50:48,291 Node[0] Saved checkpoint to "cifar10/resnet-0118.params" | |
| 2016-05-02 14:50:50,182 Node[0] Epoch[117] Validation-accuracy=0.921975 | |
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| 2016-05-02 14:52:11,486 Node[0] Epoch[118] Time cost=81.305 | |
| 2016-05-02 14:52:11,651 Node[0] Saved checkpoint to "cifar10/resnet-0119.params" | |
| 2016-05-02 14:52:13,555 Node[0] Epoch[118] Validation-accuracy=0.922376 | |
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| 2016-05-02 14:53:34,773 Node[0] Epoch[119] Time cost=81.218 | |
| 2016-05-02 14:53:34,941 Node[0] Saved checkpoint to "cifar10/resnet-0120.params" | |
| 2016-05-02 14:53:36,834 Node[0] Epoch[119] Validation-accuracy=0.923177 | |
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| 2016-05-02 14:54:58,619 Node[0] Saved checkpoint to "cifar10/resnet-0121.params" | |
| 2016-05-02 14:55:00,717 Node[0] Epoch[120] Validation-accuracy=0.922567 | |
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| 2016-05-02 14:56:22,331 Node[0] Epoch[121] Time cost=81.614 | |
| 2016-05-02 14:56:22,494 Node[0] Saved checkpoint to "cifar10/resnet-0122.params" | |
| 2016-05-02 14:56:24,401 Node[0] Epoch[121] Validation-accuracy=0.921875 | |
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| 2016-05-02 14:57:45,946 Node[0] Epoch[122] Resetting Data Iterator | |
| 2016-05-02 14:57:45,946 Node[0] Epoch[122] Time cost=81.545 | |
| 2016-05-02 14:57:46,112 Node[0] Saved checkpoint to "cifar10/resnet-0123.params" | |
| 2016-05-02 14:57:48,042 Node[0] Epoch[122] Validation-accuracy=0.921474 | |
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| 2016-05-02 14:59:09,795 Node[0] Epoch[123] Resetting Data Iterator | |
| 2016-05-02 14:59:09,795 Node[0] Epoch[123] Time cost=81.753 | |
| 2016-05-02 14:59:09,958 Node[0] Saved checkpoint to "cifar10/resnet-0124.params" | |
| 2016-05-02 14:59:11,882 Node[0] Epoch[123] Validation-accuracy=0.919972 | |
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| 2016-05-02 15:00:25,184 Node[0] Epoch[124] Batch [350] Speed: 611.70 samples/sec Train-accuracy=0.999375 | |
| 2016-05-02 15:00:33,787 Node[0] Epoch[124] Resetting Data Iterator | |
| 2016-05-02 15:00:33,788 Node[0] Epoch[124] Time cost=81.905 | |
| 2016-05-02 15:00:33,954 Node[0] Saved checkpoint to "cifar10/resnet-0125.params" | |
| 2016-05-02 15:00:35,943 Node[0] Epoch[124] Validation-accuracy=0.921775 | |
| 2016-05-02 15:00:46,472 Node[0] Epoch[125] Batch [50] Speed: 611.06 samples/sec Train-accuracy=0.998906 | |
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| 2016-05-02 15:01:57,406 Node[0] Epoch[125] Resetting Data Iterator | |
| 2016-05-02 15:01:57,406 Node[0] Epoch[125] Time cost=81.464 | |
| 2016-05-02 15:01:57,574 Node[0] Saved checkpoint to "cifar10/resnet-0126.params" | |
| 2016-05-02 15:01:59,485 Node[0] Epoch[125] Validation-accuracy=0.922676 | |
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| 2016-05-02 15:03:21,145 Node[0] Epoch[126] Resetting Data Iterator | |
| 2016-05-02 15:03:21,145 Node[0] Epoch[126] Time cost=81.660 | |
| 2016-05-02 15:03:21,310 Node[0] Saved checkpoint to "cifar10/resnet-0127.params" | |
| 2016-05-02 15:03:23,210 Node[0] Epoch[126] Validation-accuracy=0.919772 | |
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| 2016-05-02 15:04:44,567 Node[0] Epoch[127] Resetting Data Iterator | |
| 2016-05-02 15:04:44,567 Node[0] Epoch[127] Time cost=81.357 | |
| 2016-05-02 15:04:44,731 Node[0] Saved checkpoint to "cifar10/resnet-0128.params" | |
| 2016-05-02 15:04:46,648 Node[0] Epoch[127] Validation-accuracy=0.921074 | |
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| 2016-05-02 15:06:08,260 Node[0] Epoch[128] Resetting Data Iterator | |
| 2016-05-02 15:06:08,261 Node[0] Epoch[128] Time cost=81.612 | |
| 2016-05-02 15:06:08,421 Node[0] Saved checkpoint to "cifar10/resnet-0129.params" | |
| 2016-05-02 15:06:10,510 Node[0] Epoch[128] Validation-accuracy=0.921875 | |
| 2016-05-02 15:06:20,997 Node[0] Epoch[129] Batch [50] Speed: 613.52 samples/sec Train-accuracy=0.998906 | |
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| 2016-05-02 15:07:32,217 Node[0] Epoch[129] Resetting Data Iterator | |
| 2016-05-02 15:07:32,217 Node[0] Epoch[129] Time cost=81.708 | |
| 2016-05-02 15:07:32,383 Node[0] Saved checkpoint to "cifar10/resnet-0130.params" | |
| 2016-05-02 15:07:34,296 Node[0] Epoch[129] Validation-accuracy=0.921074 | |
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| 2016-05-02 15:08:55,809 Node[0] Epoch[130] Resetting Data Iterator | |
| 2016-05-02 15:08:55,809 Node[0] Epoch[130] Time cost=81.513 | |
| 2016-05-02 15:08:55,973 Node[0] Saved checkpoint to "cifar10/resnet-0131.params" | |
| 2016-05-02 15:08:57,870 Node[0] Epoch[130] Validation-accuracy=0.922075 | |
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| 2016-05-02 15:10:19,505 Node[0] Epoch[131] Resetting Data Iterator | |
| 2016-05-02 15:10:19,505 Node[0] Epoch[131] Time cost=81.635 | |
| 2016-05-02 15:10:19,670 Node[0] Saved checkpoint to "cifar10/resnet-0132.params" | |
| 2016-05-02 15:10:21,573 Node[0] Epoch[131] Validation-accuracy=0.922075 | |
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| 2016-05-02 15:11:43,125 Node[0] Epoch[132] Resetting Data Iterator | |
| 2016-05-02 15:11:43,125 Node[0] Epoch[132] Time cost=81.552 | |
| 2016-05-02 15:11:43,287 Node[0] Saved checkpoint to "cifar10/resnet-0133.params" | |
| 2016-05-02 15:11:45,154 Node[0] Epoch[132] Validation-accuracy=0.922776 | |
| 2016-05-02 15:11:55,609 Node[0] Epoch[133] Batch [50] Speed: 615.38 samples/sec Train-accuracy=0.998906 | |
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| 2016-05-02 15:13:06,618 Node[0] Epoch[133] Resetting Data Iterator | |
| 2016-05-02 15:13:06,618 Node[0] Epoch[133] Time cost=81.463 | |
| 2016-05-02 15:13:06,781 Node[0] Saved checkpoint to "cifar10/resnet-0134.params" | |
| 2016-05-02 15:13:08,645 Node[0] Epoch[133] Validation-accuracy=0.923277 | |
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| 2016-05-02 15:14:30,115 Node[0] Epoch[134] Resetting Data Iterator | |
| 2016-05-02 15:14:30,115 Node[0] Epoch[134] Time cost=81.470 | |
| 2016-05-02 15:14:30,281 Node[0] Saved checkpoint to "cifar10/resnet-0135.params" | |
| 2016-05-02 15:14:32,158 Node[0] Epoch[134] Validation-accuracy=0.921875 | |
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| 2016-05-02 15:15:53,487 Node[0] Epoch[135] Time cost=81.329 | |
| 2016-05-02 15:15:53,648 Node[0] Saved checkpoint to "cifar10/resnet-0136.params" | |
| 2016-05-02 15:15:55,564 Node[0] Epoch[135] Validation-accuracy=0.922075 | |
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| 2016-05-02 15:17:17,301 Node[0] Epoch[136] Time cost=81.737 | |
| 2016-05-02 15:17:17,468 Node[0] Saved checkpoint to "cifar10/resnet-0137.params" | |
| 2016-05-02 15:17:19,598 Node[0] Epoch[136] Validation-accuracy=0.921578 | |
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| 2016-05-02 15:18:41,087 Node[0] Epoch[137] Resetting Data Iterator | |
| 2016-05-02 15:18:41,087 Node[0] Epoch[137] Time cost=81.489 | |
| 2016-05-02 15:18:41,252 Node[0] Saved checkpoint to "cifar10/resnet-0138.params" | |
| 2016-05-02 15:18:43,150 Node[0] Epoch[137] Validation-accuracy=0.920974 | |
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| 2016-05-02 15:20:04,424 Node[0] Epoch[138] Resetting Data Iterator | |
| 2016-05-02 15:20:04,424 Node[0] Epoch[138] Time cost=81.274 | |
| 2016-05-02 15:20:04,587 Node[0] Saved checkpoint to "cifar10/resnet-0139.params" | |
| 2016-05-02 15:20:06,517 Node[0] Epoch[138] Validation-accuracy=0.919371 | |
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| 2016-05-02 15:21:28,235 Node[0] Epoch[139] Resetting Data Iterator | |
| 2016-05-02 15:21:28,235 Node[0] Epoch[139] Time cost=81.718 | |
| 2016-05-02 15:21:28,403 Node[0] Saved checkpoint to "cifar10/resnet-0140.params" | |
| 2016-05-02 15:21:30,317 Node[0] Epoch[139] Validation-accuracy=0.922075 | |
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| 2016-05-02 15:22:51,615 Node[0] Epoch[140] Resetting Data Iterator | |
| 2016-05-02 15:22:51,616 Node[0] Epoch[140] Time cost=81.298 | |
| 2016-05-02 15:22:51,780 Node[0] Saved checkpoint to "cifar10/resnet-0141.params" | |
| 2016-05-02 15:22:53,748 Node[0] Epoch[140] Validation-accuracy=0.923678 | |
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| 2016-05-02 15:23:56,408 Node[0] Epoch[141] Batch [300] Speed: 613.00 samples/sec Train-accuracy=0.998750 | |
| 2016-05-02 15:24:06,754 Node[0] Epoch[141] Batch [350] Speed: 618.64 samples/sec Train-accuracy=0.999219 | |
| 2016-05-02 15:24:15,041 Node[0] Epoch[141] Resetting Data Iterator | |
| 2016-05-02 15:24:15,041 Node[0] Epoch[141] Time cost=81.293 | |
| 2016-05-02 15:24:15,205 Node[0] Saved checkpoint to "cifar10/resnet-0142.params" | |
| 2016-05-02 15:24:17,155 Node[0] Epoch[141] Validation-accuracy=0.922676 | |
| 2016-05-02 15:24:27,664 Node[0] Epoch[142] Batch [50] Speed: 612.23 samples/sec Train-accuracy=0.999062 | |
| 2016-05-02 15:24:38,021 Node[0] Epoch[142] Batch [100] Speed: 617.95 samples/sec Train-accuracy=0.999687 | |
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| 2016-05-02 15:25:30,050 Node[0] Epoch[142] Batch [350] Speed: 610.56 samples/sec Train-accuracy=0.999062 | |
| 2016-05-02 15:25:38,632 Node[0] Epoch[142] Resetting Data Iterator | |
| 2016-05-02 15:25:38,632 Node[0] Epoch[142] Time cost=81.477 | |
| 2016-05-02 15:25:38,795 Node[0] Saved checkpoint to "cifar10/resnet-0143.params" | |
| 2016-05-02 15:25:40,697 Node[0] Epoch[142] Validation-accuracy=0.921174 | |
| 2016-05-02 15:25:51,087 Node[0] Epoch[143] Batch [50] Speed: 619.28 samples/sec Train-accuracy=0.999531 | |
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| 2016-05-02 15:26:53,485 Node[0] Epoch[143] Batch [350] Speed: 611.26 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 15:27:01,845 Node[0] Epoch[143] Resetting Data Iterator | |
| 2016-05-02 15:27:01,846 Node[0] Epoch[143] Time cost=81.148 | |
| 2016-05-02 15:27:02,012 Node[0] Saved checkpoint to "cifar10/resnet-0144.params" | |
| 2016-05-02 15:27:03,935 Node[0] Epoch[143] Validation-accuracy=0.921074 | |
| 2016-05-02 15:27:14,412 Node[0] Epoch[144] Batch [50] Speed: 614.13 samples/sec Train-accuracy=0.999219 | |
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| 2016-05-02 15:28:25,510 Node[0] Epoch[144] Resetting Data Iterator | |
| 2016-05-02 15:28:25,511 Node[0] Epoch[144] Time cost=81.576 | |
| 2016-05-02 15:28:25,676 Node[0] Saved checkpoint to "cifar10/resnet-0145.params" | |
| 2016-05-02 15:28:27,730 Node[0] Epoch[144] Validation-accuracy=0.921084 | |
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| 2016-05-02 15:29:49,247 Node[0] Epoch[145] Resetting Data Iterator | |
| 2016-05-02 15:29:49,247 Node[0] Epoch[145] Time cost=81.517 | |
| 2016-05-02 15:29:49,414 Node[0] Saved checkpoint to "cifar10/resnet-0146.params" | |
| 2016-05-02 15:29:51,332 Node[0] Epoch[145] Validation-accuracy=0.921575 | |
| 2016-05-02 15:30:01,750 Node[0] Epoch[146] Batch [50] Speed: 617.54 samples/sec Train-accuracy=0.999375 | |
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| 2016-05-02 15:31:12,650 Node[0] Epoch[146] Resetting Data Iterator | |
| 2016-05-02 15:31:12,651 Node[0] Epoch[146] Time cost=81.318 | |
| 2016-05-02 15:31:12,814 Node[0] Saved checkpoint to "cifar10/resnet-0147.params" | |
| 2016-05-02 15:31:14,727 Node[0] Epoch[146] Validation-accuracy=0.924279 | |
| 2016-05-02 15:31:25,117 Node[0] Epoch[147] Batch [50] Speed: 619.15 samples/sec Train-accuracy=0.999219 | |
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| 2016-05-02 15:32:36,189 Node[0] Epoch[147] Resetting Data Iterator | |
| 2016-05-02 15:32:36,189 Node[0] Epoch[147] Time cost=81.462 | |
| 2016-05-02 15:32:36,353 Node[0] Saved checkpoint to "cifar10/resnet-0148.params" | |
| 2016-05-02 15:32:38,257 Node[0] Epoch[147] Validation-accuracy=0.921975 | |
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| 2016-05-02 15:33:59,594 Node[0] Epoch[148] Resetting Data Iterator | |
| 2016-05-02 15:33:59,594 Node[0] Epoch[148] Time cost=81.337 | |
| 2016-05-02 15:33:59,760 Node[0] Saved checkpoint to "cifar10/resnet-0149.params" | |
| 2016-05-02 15:34:01,687 Node[0] Epoch[148] Validation-accuracy=0.920673 | |
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| 2016-05-02 15:35:14,630 Node[0] Epoch[149] Batch [350] Speed: 615.91 samples/sec Train-accuracy=0.999375 | |
| 2016-05-02 15:35:22,963 Node[0] Epoch[149] Resetting Data Iterator | |
| 2016-05-02 15:35:22,964 Node[0] Epoch[149] Time cost=81.276 | |
| 2016-05-02 15:35:23,129 Node[0] Saved checkpoint to "cifar10/resnet-0150.params" | |
| 2016-05-02 15:35:25,026 Node[0] Epoch[149] Validation-accuracy=0.919571 | |
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| 2016-05-02 15:36:46,315 Node[0] Epoch[150] Time cost=81.289 | |
| 2016-05-02 15:36:46,480 Node[0] Saved checkpoint to "cifar10/resnet-0151.params" | |
| 2016-05-02 15:36:48,408 Node[0] Epoch[150] Validation-accuracy=0.920773 | |
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| 2016-05-02 15:38:09,454 Node[0] Epoch[151] Resetting Data Iterator | |
| 2016-05-02 15:38:09,455 Node[0] Epoch[151] Time cost=81.046 | |
| 2016-05-02 15:38:09,615 Node[0] Saved checkpoint to "cifar10/resnet-0152.params" | |
| 2016-05-02 15:38:11,497 Node[0] Epoch[151] Validation-accuracy=0.922175 | |
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| 2016-05-02 15:39:32,590 Node[0] Epoch[152] Time cost=81.093 | |
| 2016-05-02 15:39:32,753 Node[0] Saved checkpoint to "cifar10/resnet-0153.params" | |
| 2016-05-02 15:39:34,834 Node[0] Epoch[152] Validation-accuracy=0.921875 | |
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| 2016-05-02 15:40:56,328 Node[0] Epoch[153] Time cost=81.494 | |
| 2016-05-02 15:40:56,486 Node[0] Saved checkpoint to "cifar10/resnet-0154.params" | |
| 2016-05-02 15:40:58,375 Node[0] Epoch[153] Validation-accuracy=0.922376 | |
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| 2016-05-02 15:42:19,540 Node[0] Epoch[154] Time cost=81.164 | |
| 2016-05-02 15:42:19,700 Node[0] Saved checkpoint to "cifar10/resnet-0155.params" | |
| 2016-05-02 15:42:21,641 Node[0] Epoch[154] Validation-accuracy=0.921474 | |
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| 2016-05-02 15:43:43,063 Node[0] Epoch[155] Resetting Data Iterator | |
| 2016-05-02 15:43:43,063 Node[0] Epoch[155] Time cost=81.421 | |
| 2016-05-02 15:43:43,225 Node[0] Saved checkpoint to "cifar10/resnet-0156.params" | |
| 2016-05-02 15:43:45,182 Node[0] Epoch[155] Validation-accuracy=0.921975 | |
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| 2016-05-02 15:45:06,438 Node[0] Epoch[156] Resetting Data Iterator | |
| 2016-05-02 15:45:06,438 Node[0] Epoch[156] Time cost=81.256 | |
| 2016-05-02 15:45:06,603 Node[0] Saved checkpoint to "cifar10/resnet-0157.params" | |
| 2016-05-02 15:45:08,549 Node[0] Epoch[156] Validation-accuracy=0.922276 | |
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| 2016-05-02 15:46:29,599 Node[0] Epoch[157] Resetting Data Iterator | |
| 2016-05-02 15:46:29,599 Node[0] Epoch[157] Time cost=81.050 | |
| 2016-05-02 15:46:29,766 Node[0] Saved checkpoint to "cifar10/resnet-0158.params" | |
| 2016-05-02 15:46:31,689 Node[0] Epoch[157] Validation-accuracy=0.922175 | |
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| 2016-05-02 15:47:52,809 Node[0] Epoch[158] Resetting Data Iterator | |
| 2016-05-02 15:47:52,810 Node[0] Epoch[158] Time cost=81.121 | |
| 2016-05-02 15:47:52,970 Node[0] Saved checkpoint to "cifar10/resnet-0159.params" | |
| 2016-05-02 15:47:54,873 Node[0] Epoch[158] Validation-accuracy=0.922776 | |
| 2016-05-02 15:48:05,352 Node[0] Epoch[159] Batch [50] Speed: 613.98 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 15:48:15,692 Node[0] Epoch[159] Batch [100] Speed: 618.97 samples/sec Train-accuracy=0.999844 | |
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| 2016-05-02 15:48:55,174 Node[0] Update[62401]: Change learning rate to 1.00000e-03 | |
| 2016-05-02 15:48:57,254 Node[0] Epoch[159] Batch [300] Speed: 615.28 samples/sec Train-accuracy=0.999219 | |
| 2016-05-02 15:49:07,658 Node[0] Epoch[159] Batch [350] Speed: 615.18 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 15:49:15,964 Node[0] Epoch[159] Resetting Data Iterator | |
| 2016-05-02 15:49:15,964 Node[0] Epoch[159] Time cost=81.091 | |
| 2016-05-02 15:49:16,124 Node[0] Saved checkpoint to "cifar10/resnet-0160.params" | |
| 2016-05-02 15:49:18,037 Node[0] Epoch[159] Validation-accuracy=0.921775 | |
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| 2016-05-02 15:50:39,329 Node[0] Epoch[160] Resetting Data Iterator | |
| 2016-05-02 15:50:39,329 Node[0] Epoch[160] Time cost=81.292 | |
| 2016-05-02 15:50:39,498 Node[0] Saved checkpoint to "cifar10/resnet-0161.params" | |
| 2016-05-02 15:50:41,608 Node[0] Epoch[160] Validation-accuracy=0.922172 | |
| 2016-05-02 15:50:52,000 Node[0] Epoch[161] Batch [50] Speed: 619.11 samples/sec Train-accuracy=0.999062 | |
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| 2016-05-02 15:52:02,869 Node[0] Epoch[161] Resetting Data Iterator | |
| 2016-05-02 15:52:02,869 Node[0] Epoch[161] Time cost=81.261 | |
| 2016-05-02 15:52:03,033 Node[0] Saved checkpoint to "cifar10/resnet-0162.params" | |
| 2016-05-02 15:52:04,944 Node[0] Epoch[161] Validation-accuracy=0.921274 | |
| 2016-05-02 15:52:15,281 Node[0] Epoch[162] Batch [50] Speed: 622.44 samples/sec Train-accuracy=0.999687 | |
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| 2016-05-02 15:53:25,949 Node[0] Epoch[162] Resetting Data Iterator | |
| 2016-05-02 15:53:25,950 Node[0] Epoch[162] Time cost=81.005 | |
| 2016-05-02 15:53:26,113 Node[0] Saved checkpoint to "cifar10/resnet-0163.params" | |
| 2016-05-02 15:53:28,010 Node[0] Epoch[162] Validation-accuracy=0.920974 | |
| 2016-05-02 15:53:38,368 Node[0] Epoch[163] Batch [50] Speed: 621.18 samples/sec Train-accuracy=0.999219 | |
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| 2016-05-02 15:54:49,236 Node[0] Epoch[163] Resetting Data Iterator | |
| 2016-05-02 15:54:49,237 Node[0] Epoch[163] Time cost=81.226 | |
| 2016-05-02 15:54:49,400 Node[0] Saved checkpoint to "cifar10/resnet-0164.params" | |
| 2016-05-02 15:54:51,318 Node[0] Epoch[163] Validation-accuracy=0.921775 | |
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| 2016-05-02 15:56:12,448 Node[0] Epoch[164] Resetting Data Iterator | |
| 2016-05-02 15:56:12,448 Node[0] Epoch[164] Time cost=81.130 | |
| 2016-05-02 15:56:12,609 Node[0] Saved checkpoint to "cifar10/resnet-0165.params" | |
| 2016-05-02 15:56:14,498 Node[0] Epoch[164] Validation-accuracy=0.922175 | |
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| 2016-05-02 15:57:35,534 Node[0] Epoch[165] Resetting Data Iterator | |
| 2016-05-02 15:57:35,534 Node[0] Epoch[165] Time cost=81.036 | |
| 2016-05-02 15:57:35,700 Node[0] Saved checkpoint to "cifar10/resnet-0166.params" | |
| 2016-05-02 15:57:37,629 Node[0] Epoch[165] Validation-accuracy=0.921975 | |
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| 2016-05-02 15:58:29,583 Node[0] Epoch[166] Batch [250] Speed: 617.45 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 15:58:39,970 Node[0] Epoch[166] Batch [300] Speed: 616.14 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 15:58:50,345 Node[0] Epoch[166] Batch [350] Speed: 616.94 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 15:58:58,920 Node[0] Epoch[166] Resetting Data Iterator | |
| 2016-05-02 15:58:58,921 Node[0] Epoch[166] Time cost=81.292 | |
| 2016-05-02 15:58:59,084 Node[0] Saved checkpoint to "cifar10/resnet-0167.params" | |
| 2016-05-02 15:59:01,003 Node[0] Epoch[166] Validation-accuracy=0.920873 | |
| 2016-05-02 15:59:11,389 Node[0] Epoch[167] Batch [50] Speed: 619.51 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 15:59:21,772 Node[0] Epoch[167] Batch [100] Speed: 616.43 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 15:59:32,130 Node[0] Epoch[167] Batch [150] Speed: 617.89 samples/sec Train-accuracy=0.999531 | |
| 2016-05-02 15:59:42,476 Node[0] Epoch[167] Batch [200] Speed: 618.62 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 15:59:52,836 Node[0] Epoch[167] Batch [250] Speed: 617.74 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:00:03,244 Node[0] Epoch[167] Batch [300] Speed: 614.94 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:00:13,649 Node[0] Epoch[167] Batch [350] Speed: 615.14 samples/sec Train-accuracy=0.999531 | |
| 2016-05-02 16:00:21,950 Node[0] Epoch[167] Resetting Data Iterator | |
| 2016-05-02 16:00:21,950 Node[0] Epoch[167] Time cost=80.947 | |
| 2016-05-02 16:00:22,110 Node[0] Saved checkpoint to "cifar10/resnet-0168.params" | |
| 2016-05-02 16:00:23,998 Node[0] Epoch[167] Validation-accuracy=0.921274 | |
| 2016-05-02 16:00:34,581 Node[0] Epoch[168] Batch [50] Speed: 607.97 samples/sec Train-accuracy=0.999219 | |
| 2016-05-02 16:00:45,007 Node[0] Epoch[168] Batch [100] Speed: 613.90 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 16:00:55,449 Node[0] Epoch[168] Batch [150] Speed: 612.91 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:01:05,829 Node[0] Epoch[168] Batch [200] Speed: 616.59 samples/sec Train-accuracy=0.999062 | |
| 2016-05-02 16:01:16,228 Node[0] Epoch[168] Batch [250] Speed: 615.46 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:01:26,628 Node[0] Epoch[168] Batch [300] Speed: 615.41 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:01:36,984 Node[0] Epoch[168] Batch [350] Speed: 618.01 samples/sec Train-accuracy=0.999531 | |
| 2016-05-02 16:01:45,485 Node[0] Epoch[168] Resetting Data Iterator | |
| 2016-05-02 16:01:45,485 Node[0] Epoch[168] Time cost=81.486 | |
| 2016-05-02 16:01:45,654 Node[0] Saved checkpoint to "cifar10/resnet-0169.params" | |
| 2016-05-02 16:01:47,775 Node[0] Epoch[168] Validation-accuracy=0.921084 | |
| 2016-05-02 16:01:58,285 Node[0] Epoch[169] Batch [50] Speed: 612.05 samples/sec Train-accuracy=1.000000 | |
| 2016-05-02 16:02:08,642 Node[0] Epoch[169] Batch [100] Speed: 617.99 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 16:02:19,049 Node[0] Epoch[169] Batch [150] Speed: 614.99 samples/sec Train-accuracy=0.999531 | |
| 2016-05-02 16:02:29,464 Node[0] Epoch[169] Batch [200] Speed: 614.50 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:02:39,866 Node[0] Epoch[169] Batch [250] Speed: 615.27 samples/sec Train-accuracy=0.999531 | |
| 2016-05-02 16:02:50,233 Node[0] Epoch[169] Batch [300] Speed: 617.36 samples/sec Train-accuracy=0.999375 | |
| 2016-05-02 16:03:00,612 Node[0] Epoch[169] Batch [350] Speed: 616.63 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:03:09,149 Node[0] Epoch[169] Resetting Data Iterator | |
| 2016-05-02 16:03:09,149 Node[0] Epoch[169] Time cost=81.375 | |
| 2016-05-02 16:03:09,310 Node[0] Saved checkpoint to "cifar10/resnet-0170.params" | |
| 2016-05-02 16:03:11,245 Node[0] Epoch[169] Validation-accuracy=0.921575 | |
| 2016-05-02 16:03:21,741 Node[0] Epoch[170] Batch [50] Speed: 612.98 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 16:03:32,186 Node[0] Epoch[170] Batch [100] Speed: 612.74 samples/sec Train-accuracy=0.999531 | |
| 2016-05-02 16:03:42,572 Node[0] Epoch[170] Batch [150] Speed: 616.24 samples/sec Train-accuracy=1.000000 | |
| 2016-05-02 16:03:52,924 Node[0] Epoch[170] Batch [200] Speed: 618.27 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 16:04:05,304 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-02 16:04:05,700 Node[0] Start training with [gpu(0)] | |
| 2016-05-02 16:04:26,673 Node[0] Epoch[0] Batch [50] Speed: 641.83 samples/sec Train-accuracy=0.127344 | |
| 2016-05-02 16:04:36,857 Node[0] Epoch[0] Batch [100] Speed: 628.47 samples/sec Train-accuracy=0.200313 | |
| 2016-05-02 16:04:47,080 Node[0] Epoch[0] Batch [150] Speed: 626.04 samples/sec Train-accuracy=0.273906 | |
| 2016-05-02 16:04:57,708 Node[0] Epoch[0] Batch [200] Speed: 602.21 samples/sec Train-accuracy=0.320000 | |
| 2016-05-02 16:05:08,757 Node[0] Epoch[0] Batch [250] Speed: 579.23 samples/sec Train-accuracy=0.356250 | |
| 2016-05-02 16:05:19,863 Node[0] Epoch[0] Batch [300] Speed: 576.28 samples/sec Train-accuracy=0.369375 | |
| 2016-05-02 16:05:30,965 Node[0] Epoch[0] Batch [350] Speed: 576.49 samples/sec Train-accuracy=0.397031 | |
| 2016-05-02 16:05:39,926 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-02 16:05:39,926 Node[0] Epoch[0] Time cost=83.483 | |
| 2016-05-02 16:05:40,099 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-02 16:05:42,246 Node[0] Epoch[0] Validation-accuracy=0.425930 | |
| 2016-05-02 16:05:53,163 Node[0] Epoch[1] Batch [50] Speed: 589.22 samples/sec Train-accuracy=0.440937 | |
| 2016-05-02 16:06:03,982 Node[0] Epoch[1] Batch [100] Speed: 591.56 samples/sec Train-accuracy=0.471094 | |
| 2016-05-02 16:06:14,780 Node[0] Epoch[1] Batch [150] Speed: 592.75 samples/sec Train-accuracy=0.483906 | |
| 2016-05-02 16:06:25,560 Node[0] Epoch[1] Batch [200] Speed: 593.70 samples/sec Train-accuracy=0.484687 | |
| 2016-05-02 16:06:36,349 Node[0] Epoch[1] Batch [250] Speed: 593.23 samples/sec Train-accuracy=0.507500 | |
| 2016-05-02 16:06:47,109 Node[0] Epoch[1] Batch [300] Speed: 594.80 samples/sec Train-accuracy=0.510312 | |
| 2016-05-02 16:06:57,945 Node[0] Epoch[1] Batch [350] Speed: 590.62 samples/sec Train-accuracy=0.536563 | |
| 2016-05-02 16:07:06,780 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-02 16:07:06,781 Node[0] Epoch[1] Time cost=84.535 | |
| 2016-05-02 16:07:06,952 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-02 16:07:08,925 Node[0] Epoch[1] Validation-accuracy=0.531250 | |
| 2016-05-02 16:07:19,654 Node[0] Epoch[2] Batch [50] Speed: 599.62 samples/sec Train-accuracy=0.551719 | |
| 2016-05-02 16:07:30,315 Node[0] Epoch[2] Batch [100] Speed: 600.35 samples/sec Train-accuracy=0.576719 | |
| 2016-05-02 16:07:40,982 Node[0] Epoch[2] Batch [150] Speed: 600.01 samples/sec Train-accuracy=0.582656 | |
| 2016-05-02 16:07:51,675 Node[0] Epoch[2] Batch [200] Speed: 598.50 samples/sec Train-accuracy=0.590781 | |
| 2016-05-02 16:08:02,342 Node[0] Epoch[2] Batch [250] Speed: 600.03 samples/sec Train-accuracy=0.612500 | |
| 2016-05-02 16:08:13,021 Node[0] Epoch[2] Batch [300] Speed: 599.30 samples/sec Train-accuracy=0.613750 | |
| 2016-05-02 16:08:23,690 Node[0] Epoch[2] Batch [350] Speed: 599.90 samples/sec Train-accuracy=0.619062 | |
| 2016-05-02 16:08:32,251 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-02 16:08:32,251 Node[0] Epoch[2] Time cost=83.326 | |
| 2016-05-02 16:08:32,418 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-02 16:08:34,352 Node[0] Epoch[2] Validation-accuracy=0.607973 | |
| 2016-05-02 16:08:45,012 Node[0] Epoch[3] Batch [50] Speed: 603.52 samples/sec Train-accuracy=0.634531 | |
| 2016-05-02 16:08:55,669 Node[0] Epoch[3] Batch [100] Speed: 600.59 samples/sec Train-accuracy=0.646563 | |
| 2016-05-02 16:09:06,350 Node[0] Epoch[3] Batch [150] Speed: 599.20 samples/sec Train-accuracy=0.660625 | |
| 2016-05-02 16:09:17,024 Node[0] Epoch[3] Batch [200] Speed: 599.58 samples/sec Train-accuracy=0.669375 | |
| 2016-05-02 16:09:27,710 Node[0] Epoch[3] Batch [250] Speed: 598.93 samples/sec Train-accuracy=0.671250 | |
| 2016-05-02 16:09:38,400 Node[0] Epoch[3] Batch [300] Speed: 598.72 samples/sec Train-accuracy=0.678125 | |
| 2016-05-02 16:09:48,978 Node[0] Epoch[3] Batch [350] Speed: 605.07 samples/sec Train-accuracy=0.679063 | |
| 2016-05-02 16:09:57,607 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-02 16:09:57,607 Node[0] Epoch[3] Time cost=83.254 | |
| 2016-05-02 16:09:57,773 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-02 16:09:59,736 Node[0] Epoch[3] Validation-accuracy=0.687500 | |
| 2016-05-02 16:10:10,462 Node[0] Epoch[4] Batch [50] Speed: 599.80 samples/sec Train-accuracy=0.678906 | |
| 2016-05-02 16:10:21,050 Node[0] Epoch[4] Batch [100] Speed: 604.48 samples/sec Train-accuracy=0.696094 | |
| 2016-05-02 16:10:31,581 Node[0] Epoch[4] Batch [150] Speed: 607.70 samples/sec Train-accuracy=0.717656 | |
| 2016-05-02 16:10:42,149 Node[0] Epoch[4] Batch [200] Speed: 605.63 samples/sec Train-accuracy=0.711875 | |
| 2016-05-02 16:10:52,721 Node[0] Epoch[4] Batch [250] Speed: 605.42 samples/sec Train-accuracy=0.716562 | |
| 2016-05-02 16:11:03,243 Node[0] Epoch[4] Batch [300] Speed: 608.26 samples/sec Train-accuracy=0.724531 | |
| 2016-05-02 16:11:13,925 Node[0] Epoch[4] Batch [350] Speed: 599.15 samples/sec Train-accuracy=0.730313 | |
| 2016-05-02 16:11:22,619 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-02 16:11:22,619 Node[0] Epoch[4] Time cost=82.883 | |
| 2016-05-02 16:11:22,788 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-02 16:11:24,735 Node[0] Epoch[4] Validation-accuracy=0.737981 | |
| 2016-05-02 16:11:35,366 Node[0] Epoch[5] Batch [50] Speed: 605.18 samples/sec Train-accuracy=0.729688 | |
| 2016-05-02 16:11:45,786 Node[0] Epoch[5] Batch [100] Speed: 614.20 samples/sec Train-accuracy=0.739219 | |
| 2016-05-02 16:11:56,238 Node[0] Epoch[5] Batch [150] Speed: 612.34 samples/sec Train-accuracy=0.757188 | |
| 2016-05-02 16:12:06,780 Node[0] Epoch[5] Batch [200] Speed: 607.09 samples/sec Train-accuracy=0.745156 | |
| 2016-05-02 16:12:17,263 Node[0] Epoch[5] Batch [250] Speed: 610.52 samples/sec Train-accuracy=0.750625 | |
| 2016-05-02 16:12:27,802 Node[0] Epoch[5] Batch [300] Speed: 607.32 samples/sec Train-accuracy=0.750469 | |
| 2016-05-02 16:12:38,355 Node[0] Epoch[5] Batch [350] Speed: 606.49 samples/sec Train-accuracy=0.760781 | |
| 2016-05-02 16:12:46,726 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-02 16:12:46,726 Node[0] Epoch[5] Time cost=81.991 | |
| 2016-05-02 16:12:46,892 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-02 16:12:48,825 Node[0] Epoch[5] Validation-accuracy=0.755909 | |
| 2016-05-02 16:12:59,435 Node[0] Epoch[6] Batch [50] Speed: 606.43 samples/sec Train-accuracy=0.765781 | |
| 2016-05-02 16:13:09,937 Node[0] Epoch[6] Batch [100] Speed: 609.47 samples/sec Train-accuracy=0.760469 | |
| 2016-05-02 16:13:20,400 Node[0] Epoch[6] Batch [150] Speed: 611.67 samples/sec Train-accuracy=0.782969 | |
| 2016-05-02 16:13:30,821 Node[0] Epoch[6] Batch [200] Speed: 614.17 samples/sec Train-accuracy=0.774687 | |
| 2016-05-02 16:13:41,299 Node[0] Epoch[6] Batch [250] Speed: 610.78 samples/sec Train-accuracy=0.773750 | |
| 2016-05-02 16:13:51,825 Node[0] Epoch[6] Batch [300] Speed: 608.07 samples/sec Train-accuracy=0.782500 | |
| 2016-05-02 16:14:02,343 Node[0] Epoch[6] Batch [350] Speed: 608.51 samples/sec Train-accuracy=0.782969 | |
| 2016-05-02 16:14:10,947 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-02 16:14:10,947 Node[0] Epoch[6] Time cost=82.122 | |
| 2016-05-02 16:14:11,111 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-02 16:14:13,039 Node[0] Epoch[6] Validation-accuracy=0.741386 | |
| 2016-05-02 16:14:23,515 Node[0] Epoch[7] Batch [50] Speed: 614.21 samples/sec Train-accuracy=0.782656 | |
| 2016-05-02 16:14:34,051 Node[0] Epoch[7] Batch [100] Speed: 607.41 samples/sec Train-accuracy=0.783594 | |
| 2016-05-02 16:14:44,556 Node[0] Epoch[7] Batch [150] Speed: 609.27 samples/sec Train-accuracy=0.803125 | |
| 2016-05-02 16:14:55,038 Node[0] Epoch[7] Batch [200] Speed: 610.56 samples/sec Train-accuracy=0.795781 | |
| 2016-05-02 16:15:05,528 Node[0] Epoch[7] Batch [250] Speed: 610.12 samples/sec Train-accuracy=0.789219 | |
| 2016-05-02 16:15:15,919 Node[0] Epoch[7] Batch [300] Speed: 615.97 samples/sec Train-accuracy=0.797500 | |
| 2016-05-02 16:15:26,361 Node[0] Epoch[7] Batch [350] Speed: 612.91 samples/sec Train-accuracy=0.801406 | |
| 2016-05-02 16:15:34,656 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-02 16:15:34,656 Node[0] Epoch[7] Time cost=81.617 | |
| 2016-05-02 16:15:34,820 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-02 16:15:36,730 Node[0] Epoch[7] Validation-accuracy=0.773938 | |
| 2016-05-02 16:15:47,370 Node[0] Epoch[8] Batch [50] Speed: 604.73 samples/sec Train-accuracy=0.803906 | |
| 2016-05-02 16:15:57,810 Node[0] Epoch[8] Batch [100] Speed: 613.00 samples/sec Train-accuracy=0.807969 | |
| 2016-05-02 16:16:08,250 Node[0] Epoch[8] Batch [150] Speed: 613.07 samples/sec Train-accuracy=0.823281 | |
| 2016-05-02 16:16:18,721 Node[0] Epoch[8] Batch [200] Speed: 611.18 samples/sec Train-accuracy=0.812031 | |
| 2016-05-02 16:16:29,223 Node[0] Epoch[8] Batch [250] Speed: 609.44 samples/sec Train-accuracy=0.815000 | |
| 2016-05-02 16:16:39,718 Node[0] Epoch[8] Batch [300] Speed: 609.82 samples/sec Train-accuracy=0.816719 | |
| 2016-05-02 16:16:50,197 Node[0] Epoch[8] Batch [350] Speed: 610.76 samples/sec Train-accuracy=0.817656 | |
| 2016-05-02 16:16:58,806 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-02 16:16:58,806 Node[0] Epoch[8] Time cost=82.075 | |
| 2016-05-02 16:16:58,976 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-02 16:17:01,033 Node[0] Epoch[8] Validation-accuracy=0.779866 | |
| 2016-05-02 16:17:11,536 Node[0] Epoch[9] Batch [50] Speed: 612.51 samples/sec Train-accuracy=0.814688 | |
| 2016-05-02 16:17:22,011 Node[0] Epoch[9] Batch [100] Speed: 611.03 samples/sec Train-accuracy=0.820000 | |
| 2016-05-02 16:17:32,415 Node[0] Epoch[9] Batch [150] Speed: 615.12 samples/sec Train-accuracy=0.830781 | |
| 2016-05-02 16:17:42,847 Node[0] Epoch[9] Batch [200] Speed: 613.54 samples/sec Train-accuracy=0.821875 | |
| 2016-05-02 16:17:53,360 Node[0] Epoch[9] Batch [250] Speed: 608.76 samples/sec Train-accuracy=0.820937 | |
| 2016-05-02 16:18:03,836 Node[0] Epoch[9] Batch [300] Speed: 610.99 samples/sec Train-accuracy=0.822031 | |
| 2016-05-02 16:18:14,328 Node[0] Epoch[9] Batch [350] Speed: 609.96 samples/sec Train-accuracy=0.830469 | |
| 2016-05-02 16:18:22,924 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-02 16:18:22,925 Node[0] Epoch[9] Time cost=81.892 | |
| 2016-05-02 16:18:23,094 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-02 16:18:25,010 Node[0] Epoch[9] Validation-accuracy=0.780449 | |
| 2016-05-02 16:18:35,499 Node[0] Epoch[10] Batch [50] Speed: 613.30 samples/sec Train-accuracy=0.823281 | |
| 2016-05-02 16:18:45,874 Node[0] Epoch[10] Batch [100] Speed: 616.91 samples/sec Train-accuracy=0.828125 | |
| 2016-05-02 16:18:56,306 Node[0] Epoch[10] Batch [150] Speed: 613.50 samples/sec Train-accuracy=0.840156 | |
| 2016-05-02 16:19:06,715 Node[0] Epoch[10] Batch [200] Speed: 614.89 samples/sec Train-accuracy=0.827969 | |
| 2016-05-02 16:19:17,139 Node[0] Epoch[10] Batch [250] Speed: 613.97 samples/sec Train-accuracy=0.837031 | |
| 2016-05-02 16:19:27,606 Node[0] Epoch[10] Batch [300] Speed: 611.45 samples/sec Train-accuracy=0.843125 | |
| 2016-05-02 16:19:38,080 Node[0] Epoch[10] Batch [350] Speed: 611.08 samples/sec Train-accuracy=0.832500 | |
| 2016-05-02 16:19:46,475 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-02 16:19:46,475 Node[0] Epoch[10] Time cost=81.466 | |
| 2016-05-02 16:19:46,642 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-02 16:19:48,582 Node[0] Epoch[10] Validation-accuracy=0.819311 | |
| 2016-05-02 16:19:59,048 Node[0] Epoch[11] Batch [50] Speed: 614.76 samples/sec Train-accuracy=0.840781 | |
| 2016-05-02 16:20:09,492 Node[0] Epoch[11] Batch [100] Speed: 612.78 samples/sec Train-accuracy=0.845938 | |
| 2016-05-02 16:20:19,930 Node[0] Epoch[11] Batch [150] Speed: 613.21 samples/sec Train-accuracy=0.852500 | |
| 2016-05-02 16:20:30,348 Node[0] Epoch[11] Batch [200] Speed: 614.34 samples/sec Train-accuracy=0.841719 | |
| 2016-05-02 16:20:40,819 Node[0] Epoch[11] Batch [250] Speed: 611.21 samples/sec Train-accuracy=0.847031 | |
| 2016-05-02 16:20:51,331 Node[0] Epoch[11] Batch [300] Speed: 608.82 samples/sec Train-accuracy=0.851250 | |
| 2016-05-02 16:21:01,834 Node[0] Epoch[11] Batch [350] Speed: 609.41 samples/sec Train-accuracy=0.847656 | |
| 2016-05-02 16:21:10,361 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-02 16:21:10,361 Node[0] Epoch[11] Time cost=81.779 | |
| 2016-05-02 16:21:10,525 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-02 16:21:12,424 Node[0] Epoch[11] Validation-accuracy=0.813401 | |
| 2016-05-02 16:21:22,906 Node[0] Epoch[12] Batch [50] Speed: 613.77 samples/sec Train-accuracy=0.842500 | |
| 2016-05-02 16:21:33,409 Node[0] Epoch[12] Batch [100] Speed: 609.36 samples/sec Train-accuracy=0.853750 | |
| 2016-05-02 16:21:43,846 Node[0] Epoch[12] Batch [150] Speed: 613.25 samples/sec Train-accuracy=0.856563 | |
| 2016-05-02 16:21:54,234 Node[0] Epoch[12] Batch [200] Speed: 616.13 samples/sec Train-accuracy=0.851875 | |
| 2016-05-02 16:22:04,674 Node[0] Epoch[12] Batch [250] Speed: 612.99 samples/sec Train-accuracy=0.852031 | |
| 2016-05-02 16:22:15,064 Node[0] Epoch[12] Batch [300] Speed: 615.99 samples/sec Train-accuracy=0.858125 | |
| 2016-05-02 16:22:25,561 Node[0] Epoch[12] Batch [350] Speed: 609.74 samples/sec Train-accuracy=0.852812 | |
| 2016-05-02 16:22:34,171 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-02 16:22:34,171 Node[0] Epoch[12] Time cost=81.747 | |
| 2016-05-02 16:22:34,341 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-02 16:22:36,291 Node[0] Epoch[12] Validation-accuracy=0.821314 | |
| 2016-05-02 16:22:46,747 Node[0] Epoch[13] Batch [50] Speed: 615.41 samples/sec Train-accuracy=0.858281 | |
| 2016-05-02 16:22:57,148 Node[0] Epoch[13] Batch [100] Speed: 615.36 samples/sec Train-accuracy=0.858281 | |
| 2016-05-02 16:23:07,569 Node[0] Epoch[13] Batch [150] Speed: 614.10 samples/sec Train-accuracy=0.863594 | |
| 2016-05-02 16:23:17,980 Node[0] Epoch[13] Batch [200] Speed: 614.78 samples/sec Train-accuracy=0.855156 | |
| 2016-05-02 16:23:28,476 Node[0] Epoch[13] Batch [250] Speed: 609.75 samples/sec Train-accuracy=0.859844 | |
| 2016-05-02 16:23:38,971 Node[0] Epoch[13] Batch [300] Speed: 609.85 samples/sec Train-accuracy=0.861250 | |
| 2016-05-02 16:23:49,499 Node[0] Epoch[13] Batch [350] Speed: 607.90 samples/sec Train-accuracy=0.860469 | |
| 2016-05-02 16:23:57,885 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-02 16:23:57,886 Node[0] Epoch[13] Time cost=81.594 | |
| 2016-05-02 16:23:58,053 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-02 16:23:59,941 Node[0] Epoch[13] Validation-accuracy=0.824319 | |
| 2016-05-02 16:24:10,360 Node[0] Epoch[14] Batch [50] Speed: 617.47 samples/sec Train-accuracy=0.860938 | |
| 2016-05-02 16:24:20,845 Node[0] Epoch[14] Batch [100] Speed: 610.45 samples/sec Train-accuracy=0.862812 | |
| 2016-05-02 16:24:31,253 Node[0] Epoch[14] Batch [150] Speed: 614.91 samples/sec Train-accuracy=0.874219 | |
| 2016-05-02 16:24:41,663 Node[0] Epoch[14] Batch [200] Speed: 614.77 samples/sec Train-accuracy=0.863594 | |
| 2016-05-02 16:24:52,069 Node[0] Epoch[14] Batch [250] Speed: 615.10 samples/sec Train-accuracy=0.865469 | |
| 2016-05-02 16:25:02,490 Node[0] Epoch[14] Batch [300] Speed: 614.17 samples/sec Train-accuracy=0.866250 | |
| 2016-05-02 16:25:12,920 Node[0] Epoch[14] Batch [350] Speed: 613.61 samples/sec Train-accuracy=0.869062 | |
| 2016-05-02 16:25:21,534 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-02 16:25:21,534 Node[0] Epoch[14] Time cost=81.592 | |
| 2016-05-02 16:25:21,703 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-02 16:25:23,634 Node[0] Epoch[14] Validation-accuracy=0.840645 | |
| 2016-05-02 16:26:04,552 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-02 16:26:04,892 Node[0] Start training with [gpu(0)] | |
| 2016-05-02 16:26:26,041 Node[0] Epoch[0] Batch [50] Speed: 641.47 samples/sec Train-accuracy=0.112969 | |
| 2016-05-02 16:26:36,184 Node[0] Epoch[0] Batch [100] Speed: 630.98 samples/sec Train-accuracy=0.188750 | |
| 2016-05-02 16:26:46,340 Node[0] Epoch[0] Batch [150] Speed: 630.20 samples/sec Train-accuracy=0.252812 | |
| 2016-05-02 16:26:56,644 Node[0] Epoch[0] Batch [200] Speed: 621.09 samples/sec Train-accuracy=0.259062 | |
| 2016-05-02 16:27:07,666 Node[0] Epoch[0] Batch [250] Speed: 580.70 samples/sec Train-accuracy=0.310469 | |
| 2016-05-02 16:27:18,711 Node[0] Epoch[0] Batch [300] Speed: 579.46 samples/sec Train-accuracy=0.319063 | |
| 2016-05-02 16:27:29,730 Node[0] Epoch[0] Batch [350] Speed: 580.79 samples/sec Train-accuracy=0.338125 | |
| 2016-05-02 16:27:38,469 Node[0] Update[391]: Change learning rate to 1.00000e-02 | |
| 2016-05-02 16:27:38,686 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-02 16:27:38,686 Node[0] Epoch[0] Time cost=82.887 | |
| 2016-05-02 16:27:38,856 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-02 16:27:41,033 Node[0] Epoch[0] Validation-accuracy=0.331092 | |
| 2016-05-02 16:27:51,975 Node[0] Epoch[1] Batch [50] Speed: 587.91 samples/sec Train-accuracy=0.386875 | |
| 2016-05-02 16:32:42,991 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-02 16:32:43,353 Node[0] Start training with [gpu(0)] | |
| 2016-05-02 16:33:04,417 Node[0] Epoch[0] Batch [50] Speed: 648.23 samples/sec Train-accuracy=0.149219 | |
| 2016-05-02 16:33:14,561 Node[0] Epoch[0] Batch [100] Speed: 630.96 samples/sec Train-accuracy=0.256719 | |
| 2016-05-02 16:33:24,752 Node[0] Epoch[0] Batch [150] Speed: 628.02 samples/sec Train-accuracy=0.328437 | |
| 2016-05-02 16:33:34,934 Node[0] Epoch[0] Batch [200] Speed: 628.54 samples/sec Train-accuracy=0.363438 | |
| 2016-05-02 16:33:45,067 Node[0] Epoch[0] Batch [250] Speed: 631.64 samples/sec Train-accuracy=0.403281 | |
| 2016-05-02 16:33:55,192 Node[0] Epoch[0] Batch [300] Speed: 632.13 samples/sec Train-accuracy=0.424687 | |
| 2016-05-02 16:34:05,549 Node[0] Epoch[0] Batch [350] Speed: 617.95 samples/sec Train-accuracy=0.454062 | |
| 2016-05-02 16:34:14,358 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-02 16:34:14,358 Node[0] Epoch[0] Time cost=80.078 | |
| 2016-05-02 16:34:14,528 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-02 16:34:16,675 Node[0] Epoch[0] Validation-accuracy=0.459553 | |
| 2016-05-02 16:34:27,414 Node[0] Epoch[1] Batch [50] Speed: 599.13 samples/sec Train-accuracy=0.481406 | |
| 2016-05-02 16:34:38,066 Node[0] Epoch[1] Batch [100] Speed: 600.83 samples/sec Train-accuracy=0.510000 | |
| 2016-05-02 16:34:48,702 Node[0] Epoch[1] Batch [150] Speed: 601.73 samples/sec Train-accuracy=0.537031 | |
| 2016-05-02 16:34:59,395 Node[0] Epoch[1] Batch [200] Speed: 598.55 samples/sec Train-accuracy=0.540625 | |
| 2016-05-02 16:35:09,925 Node[0] Epoch[1] Batch [250] Speed: 607.82 samples/sec Train-accuracy=0.573438 | |
| 2016-05-02 16:35:20,447 Node[0] Epoch[1] Batch [300] Speed: 608.27 samples/sec Train-accuracy=0.583906 | |
| 2016-05-02 16:35:30,968 Node[0] Epoch[1] Batch [350] Speed: 608.33 samples/sec Train-accuracy=0.580937 | |
| 2016-05-02 16:35:39,671 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-02 16:35:39,672 Node[0] Epoch[1] Time cost=82.996 | |
| 2016-05-02 16:35:39,840 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-02 16:35:41,773 Node[0] Epoch[1] Validation-accuracy=0.575020 | |
| 2016-05-02 16:35:52,514 Node[0] Epoch[2] Batch [50] Speed: 599.00 samples/sec Train-accuracy=0.608125 | |
| 2016-05-02 16:36:03,183 Node[0] Epoch[2] Batch [100] Speed: 599.83 samples/sec Train-accuracy=0.626406 | |
| 2016-05-02 16:36:13,752 Node[0] Epoch[2] Batch [150] Speed: 605.57 samples/sec Train-accuracy=0.645000 | |
| 2016-05-02 16:36:24,263 Node[0] Epoch[2] Batch [200] Speed: 608.93 samples/sec Train-accuracy=0.647500 | |
| 2016-05-02 16:36:34,802 Node[0] Epoch[2] Batch [250] Speed: 607.28 samples/sec Train-accuracy=0.656094 | |
| 2016-05-02 16:36:45,433 Node[0] Epoch[2] Batch [300] Speed: 602.04 samples/sec Train-accuracy=0.661250 | |
| 2016-05-02 16:36:56,046 Node[0] Epoch[2] Batch [350] Speed: 603.00 samples/sec Train-accuracy=0.677188 | |
| 2016-05-02 16:37:04,552 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-02 16:37:04,552 Node[0] Epoch[2] Time cost=82.779 | |
| 2016-05-02 16:37:04,718 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-02 16:37:06,654 Node[0] Epoch[2] Validation-accuracy=0.625100 | |
| 2016-05-02 16:37:17,219 Node[0] Epoch[3] Batch [50] Speed: 608.98 samples/sec Train-accuracy=0.681719 | |
| 2016-05-02 16:37:27,784 Node[0] Epoch[3] Batch [100] Speed: 605.79 samples/sec Train-accuracy=0.700000 | |
| 2016-05-02 16:37:38,306 Node[0] Epoch[3] Batch [150] Speed: 608.32 samples/sec Train-accuracy=0.713906 | |
| 2016-05-02 16:37:48,790 Node[0] Epoch[3] Batch [200] Speed: 610.47 samples/sec Train-accuracy=0.710781 | |
| 2016-05-02 16:37:59,312 Node[0] Epoch[3] Batch [250] Speed: 608.25 samples/sec Train-accuracy=0.716406 | |
| 2016-05-02 16:38:09,864 Node[0] Epoch[3] Batch [300] Speed: 606.51 samples/sec Train-accuracy=0.724531 | |
| 2016-05-02 16:38:20,377 Node[0] Epoch[3] Batch [350] Speed: 608.79 samples/sec Train-accuracy=0.736719 | |
| 2016-05-02 16:38:28,974 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-02 16:38:28,975 Node[0] Epoch[3] Time cost=82.321 | |
| 2016-05-02 16:38:29,139 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-02 16:38:31,048 Node[0] Epoch[3] Validation-accuracy=0.670172 | |
| 2016-05-02 16:38:41,658 Node[0] Epoch[4] Batch [50] Speed: 606.43 samples/sec Train-accuracy=0.745313 | |
| 2016-05-02 16:38:52,183 Node[0] Epoch[4] Batch [100] Speed: 608.09 samples/sec Train-accuracy=0.747969 | |
| 2016-05-02 16:39:02,710 Node[0] Epoch[4] Batch [150] Speed: 607.95 samples/sec Train-accuracy=0.757188 | |
| 2016-05-02 16:39:13,200 Node[0] Epoch[4] Batch [200] Speed: 610.13 samples/sec Train-accuracy=0.753594 | |
| 2016-05-02 16:39:23,706 Node[0] Epoch[4] Batch [250] Speed: 609.20 samples/sec Train-accuracy=0.759375 | |
| 2016-05-02 16:39:34,222 Node[0] Epoch[4] Batch [300] Speed: 608.63 samples/sec Train-accuracy=0.762500 | |
| 2016-05-02 16:39:44,722 Node[0] Epoch[4] Batch [350] Speed: 609.53 samples/sec Train-accuracy=0.763437 | |
| 2016-05-02 16:39:53,286 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-02 16:39:53,286 Node[0] Epoch[4] Time cost=82.238 | |
| 2016-05-02 16:39:53,452 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-02 16:39:55,380 Node[0] Epoch[4] Validation-accuracy=0.755809 | |
| 2016-05-02 16:40:05,846 Node[0] Epoch[5] Batch [50] Speed: 614.71 samples/sec Train-accuracy=0.767031 | |
| 2016-05-02 16:40:16,348 Node[0] Epoch[5] Batch [100] Speed: 609.44 samples/sec Train-accuracy=0.770625 | |
| 2016-05-02 16:40:26,827 Node[0] Epoch[5] Batch [150] Speed: 610.76 samples/sec Train-accuracy=0.790937 | |
| 2016-05-02 16:40:37,336 Node[0] Epoch[5] Batch [200] Speed: 609.03 samples/sec Train-accuracy=0.776719 | |
| 2016-05-02 16:40:47,793 Node[0] Epoch[5] Batch [250] Speed: 612.04 samples/sec Train-accuracy=0.781875 | |
| 2016-05-02 16:40:58,165 Node[0] Epoch[5] Batch [300] Speed: 617.06 samples/sec Train-accuracy=0.785156 | |
| 2016-05-02 16:41:08,979 Node[0] Epoch[5] Batch [350] Speed: 591.83 samples/sec Train-accuracy=0.787500 | |
| 2016-05-02 16:41:17,474 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-02 16:41:17,474 Node[0] Epoch[5] Time cost=82.094 | |
| 2016-05-02 16:41:17,638 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-02 16:41:19,584 Node[0] Epoch[5] Validation-accuracy=0.759716 | |
| 2016-05-02 16:41:30,097 Node[0] Epoch[6] Batch [50] Speed: 612.04 samples/sec Train-accuracy=0.785625 | |
| 2016-05-02 16:41:40,616 Node[0] Epoch[6] Batch [100] Speed: 608.44 samples/sec Train-accuracy=0.792188 | |
| 2016-05-02 16:41:51,004 Node[0] Epoch[6] Batch [150] Speed: 616.09 samples/sec Train-accuracy=0.805781 | |
| 2016-05-02 16:42:01,424 Node[0] Epoch[6] Batch [200] Speed: 614.25 samples/sec Train-accuracy=0.797344 | |
| 2016-05-02 16:42:11,812 Node[0] Epoch[6] Batch [250] Speed: 616.10 samples/sec Train-accuracy=0.797969 | |
| 2016-05-02 16:42:22,231 Node[0] Epoch[6] Batch [300] Speed: 614.27 samples/sec Train-accuracy=0.808906 | |
| 2016-05-02 16:42:32,633 Node[0] Epoch[6] Batch [350] Speed: 615.28 samples/sec Train-accuracy=0.812656 | |
| 2016-05-02 16:42:41,145 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-02 16:42:41,145 Node[0] Epoch[6] Time cost=81.561 | |
| 2016-05-02 16:42:41,306 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-02 16:42:43,221 Node[0] Epoch[6] Validation-accuracy=0.758614 | |
| 2016-05-02 16:42:53,718 Node[0] Epoch[7] Batch [50] Speed: 612.90 samples/sec Train-accuracy=0.811562 | |
| 2016-05-02 16:43:04,154 Node[0] Epoch[7] Batch [100] Speed: 613.29 samples/sec Train-accuracy=0.813750 | |
| 2016-05-02 16:43:14,506 Node[0] Epoch[7] Batch [150] Speed: 618.21 samples/sec Train-accuracy=0.823906 | |
| 2016-05-02 16:43:24,948 Node[0] Epoch[7] Batch [200] Speed: 612.96 samples/sec Train-accuracy=0.811406 | |
| 2016-05-02 16:43:35,357 Node[0] Epoch[7] Batch [250] Speed: 614.89 samples/sec Train-accuracy=0.817344 | |
| 2016-05-02 16:43:45,804 Node[0] Epoch[7] Batch [300] Speed: 612.60 samples/sec Train-accuracy=0.819063 | |
| 2016-05-02 16:43:56,216 Node[0] Epoch[7] Batch [350] Speed: 614.67 samples/sec Train-accuracy=0.820000 | |
| 2016-05-02 16:44:04,520 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-02 16:44:04,520 Node[0] Epoch[7] Time cost=81.299 | |
| 2016-05-02 16:44:04,680 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-02 16:44:06,583 Node[0] Epoch[7] Validation-accuracy=0.781550 | |
| 2016-05-02 16:44:16,989 Node[0] Epoch[8] Batch [50] Speed: 618.24 samples/sec Train-accuracy=0.828594 | |
| 2016-05-02 16:44:27,402 Node[0] Epoch[8] Batch [100] Speed: 614.64 samples/sec Train-accuracy=0.820000 | |
| 2016-05-02 16:44:37,806 Node[0] Epoch[8] Batch [150] Speed: 615.19 samples/sec Train-accuracy=0.837969 | |
| 2016-05-02 16:44:48,278 Node[0] Epoch[8] Batch [200] Speed: 611.16 samples/sec Train-accuracy=0.826250 | |
| 2016-05-02 16:44:58,725 Node[0] Epoch[8] Batch [250] Speed: 612.61 samples/sec Train-accuracy=0.832969 | |
| 2016-05-02 16:45:09,098 Node[0] Epoch[8] Batch [300] Speed: 617.05 samples/sec Train-accuracy=0.839688 | |
| 2016-05-02 16:45:19,511 Node[0] Epoch[8] Batch [350] Speed: 614.61 samples/sec Train-accuracy=0.830156 | |
| 2016-05-02 16:45:28,052 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-02 16:45:28,052 Node[0] Epoch[8] Time cost=81.469 | |
| 2016-05-02 16:45:28,214 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-02 16:45:30,347 Node[0] Epoch[8] Validation-accuracy=0.792128 | |
| 2016-05-02 16:45:40,775 Node[0] Epoch[9] Batch [50] Speed: 616.90 samples/sec Train-accuracy=0.827969 | |
| 2016-05-02 16:45:51,219 Node[0] Epoch[9] Batch [100] Speed: 612.84 samples/sec Train-accuracy=0.839844 | |
| 2016-05-02 16:46:01,686 Node[0] Epoch[9] Batch [150] Speed: 611.47 samples/sec Train-accuracy=0.844375 | |
| 2016-05-02 16:46:12,074 Node[0] Epoch[9] Batch [200] Speed: 616.10 samples/sec Train-accuracy=0.837656 | |
| 2016-05-02 16:46:22,468 Node[0] Epoch[9] Batch [250] Speed: 615.74 samples/sec Train-accuracy=0.836406 | |
| 2016-05-02 16:46:32,894 Node[0] Epoch[9] Batch [300] Speed: 613.89 samples/sec Train-accuracy=0.846094 | |
| 2016-05-02 16:46:43,302 Node[0] Epoch[9] Batch [350] Speed: 614.94 samples/sec Train-accuracy=0.836094 | |
| 2016-05-02 16:46:51,850 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-02 16:46:51,850 Node[0] Epoch[9] Time cost=81.503 | |
| 2016-05-02 16:46:52,013 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-02 16:46:53,906 Node[0] Epoch[9] Validation-accuracy=0.780349 | |
| 2016-05-02 16:47:04,343 Node[0] Epoch[10] Batch [50] Speed: 616.40 samples/sec Train-accuracy=0.842344 | |
| 2016-05-02 16:47:14,722 Node[0] Epoch[10] Batch [100] Speed: 616.66 samples/sec Train-accuracy=0.844688 | |
| 2016-05-02 16:47:25,053 Node[0] Epoch[10] Batch [150] Speed: 619.52 samples/sec Train-accuracy=0.856563 | |
| 2016-05-02 16:47:35,435 Node[0] Epoch[10] Batch [200] Speed: 616.47 samples/sec Train-accuracy=0.842969 | |
| 2016-05-02 16:47:45,848 Node[0] Epoch[10] Batch [250] Speed: 614.60 samples/sec Train-accuracy=0.849219 | |
| 2016-05-02 16:47:56,299 Node[0] Epoch[10] Batch [300] Speed: 612.43 samples/sec Train-accuracy=0.849531 | |
| 2016-05-02 16:48:06,686 Node[0] Epoch[10] Batch [350] Speed: 616.18 samples/sec Train-accuracy=0.839844 | |
| 2016-05-02 16:48:14,988 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-02 16:48:14,988 Node[0] Epoch[10] Time cost=81.082 | |
| 2016-05-02 16:48:15,157 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-02 16:48:17,065 Node[0] Epoch[10] Validation-accuracy=0.820012 | |
| 2016-05-02 16:48:27,484 Node[0] Epoch[11] Batch [50] Speed: 617.45 samples/sec Train-accuracy=0.850625 | |
| 2016-05-02 16:48:37,841 Node[0] Epoch[11] Batch [100] Speed: 617.95 samples/sec Train-accuracy=0.852344 | |
| 2016-05-02 16:48:48,200 Node[0] Epoch[11] Batch [150] Speed: 617.84 samples/sec Train-accuracy=0.857344 | |
| 2016-05-02 16:48:58,595 Node[0] Epoch[11] Batch [200] Speed: 615.72 samples/sec Train-accuracy=0.856563 | |
| 2016-05-02 16:49:08,993 Node[0] Epoch[11] Batch [250] Speed: 615.51 samples/sec Train-accuracy=0.853281 | |
| 2016-05-02 16:49:19,339 Node[0] Epoch[11] Batch [300] Speed: 618.59 samples/sec Train-accuracy=0.857344 | |
| 2016-05-02 16:49:29,690 Node[0] Epoch[11] Batch [350] Speed: 618.33 samples/sec Train-accuracy=0.856719 | |
| 2016-05-02 16:49:38,235 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-02 16:49:38,235 Node[0] Epoch[11] Time cost=81.170 | |
| 2016-05-02 16:49:38,401 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-02 16:49:40,290 Node[0] Epoch[11] Validation-accuracy=0.820513 | |
| 2016-05-02 16:49:50,686 Node[0] Epoch[12] Batch [50] Speed: 618.88 samples/sec Train-accuracy=0.860625 | |
| 2016-05-02 16:50:01,034 Node[0] Epoch[12] Batch [100] Speed: 618.49 samples/sec Train-accuracy=0.860469 | |
| 2016-05-02 16:50:11,418 Node[0] Epoch[12] Batch [150] Speed: 616.31 samples/sec Train-accuracy=0.865938 | |
| 2016-05-02 16:50:21,766 Node[0] Epoch[12] Batch [200] Speed: 618.48 samples/sec Train-accuracy=0.858281 | |
| 2016-05-02 16:50:32,168 Node[0] Epoch[12] Batch [250] Speed: 615.31 samples/sec Train-accuracy=0.860000 | |
| 2016-05-02 16:50:42,570 Node[0] Epoch[12] Batch [300] Speed: 615.27 samples/sec Train-accuracy=0.863906 | |
| 2016-05-02 16:50:52,991 Node[0] Epoch[12] Batch [350] Speed: 614.20 samples/sec Train-accuracy=0.860000 | |
| 2016-05-02 16:51:01,505 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-02 16:51:01,505 Node[0] Epoch[12] Time cost=81.214 | |
| 2016-05-02 16:51:01,670 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-02 16:51:03,556 Node[0] Epoch[12] Validation-accuracy=0.815805 | |
| 2016-05-02 16:51:13,937 Node[0] Epoch[13] Batch [50] Speed: 619.77 samples/sec Train-accuracy=0.865156 | |
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| 2016-05-02 16:52:24,446 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-02 16:52:24,446 Node[0] Epoch[13] Time cost=80.890 | |
| 2016-05-02 16:52:24,610 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-02 16:52:26,516 Node[0] Epoch[13] Validation-accuracy=0.821514 | |
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| 2016-05-02 16:53:47,490 Node[0] Epoch[14] Time cost=80.973 | |
| 2016-05-02 16:53:47,653 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-02 16:53:49,550 Node[0] Epoch[14] Validation-accuracy=0.832732 | |
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| 2016-05-02 16:55:10,426 Node[0] Epoch[15] Time cost=80.875 | |
| 2016-05-02 16:55:10,584 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-02 16:55:12,477 Node[0] Epoch[15] Validation-accuracy=0.840345 | |
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| 2016-05-02 16:56:33,646 Node[0] Epoch[16] Time cost=81.169 | |
| 2016-05-02 16:56:33,812 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-02 16:56:35,935 Node[0] Epoch[16] Validation-accuracy=0.836135 | |
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| 2016-05-02 16:57:56,801 Node[0] Epoch[17] Time cost=80.867 | |
| 2016-05-02 16:57:56,963 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-02 16:57:58,891 Node[0] Epoch[17] Validation-accuracy=0.842047 | |
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| 2016-05-02 16:59:19,657 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-02 16:59:19,657 Node[0] Epoch[18] Time cost=80.766 | |
| 2016-05-02 16:59:19,821 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-02 16:59:21,695 Node[0] Epoch[18] Validation-accuracy=0.842248 | |
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| 2016-05-02 17:00:42,911 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-02 17:00:42,911 Node[0] Epoch[19] Time cost=81.216 | |
| 2016-05-02 17:00:43,075 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-02 17:00:44,979 Node[0] Epoch[19] Validation-accuracy=0.853165 | |
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| 2016-05-02 17:02:06,054 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-02 17:02:06,054 Node[0] Epoch[20] Time cost=81.075 | |
| 2016-05-02 17:02:06,216 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-02 17:02:08,146 Node[0] Epoch[20] Validation-accuracy=0.834736 | |
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| 2016-05-02 17:03:29,057 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-02 17:03:29,057 Node[0] Epoch[21] Time cost=80.911 | |
| 2016-05-02 17:03:29,216 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-02 17:03:31,122 Node[0] Epoch[21] Validation-accuracy=0.857071 | |
| 2016-05-02 17:03:41,644 Node[0] Epoch[22] Batch [50] Speed: 611.41 samples/sec Train-accuracy=0.900469 | |
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| 2016-05-02 17:04:52,368 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-02 17:04:52,368 Node[0] Epoch[22] Time cost=81.246 | |
| 2016-05-02 17:04:52,533 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-02 17:04:54,418 Node[0] Epoch[22] Validation-accuracy=0.854367 | |
| 2016-05-02 17:05:04,909 Node[0] Epoch[23] Batch [50] Speed: 613.31 samples/sec Train-accuracy=0.906094 | |
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| 2016-05-02 17:06:15,329 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-02 17:06:15,329 Node[0] Epoch[23] Time cost=80.911 | |
| 2016-05-02 17:06:15,488 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-02 17:06:17,375 Node[0] Epoch[23] Validation-accuracy=0.847656 | |
| 2016-05-02 17:06:27,725 Node[0] Epoch[24] Batch [50] Speed: 621.68 samples/sec Train-accuracy=0.900312 | |
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| 2016-05-02 17:07:38,439 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-02 17:07:38,440 Node[0] Epoch[24] Time cost=81.064 | |
| 2016-05-02 17:07:38,604 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-02 17:07:40,745 Node[0] Epoch[24] Validation-accuracy=0.853738 | |
| 2016-05-02 17:07:51,106 Node[0] Epoch[25] Batch [50] Speed: 620.98 samples/sec Train-accuracy=0.905312 | |
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| 2016-05-02 17:09:01,920 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-02 17:09:01,920 Node[0] Epoch[25] Time cost=81.175 | |
| 2016-05-02 17:09:02,089 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-02 17:09:03,987 Node[0] Epoch[25] Validation-accuracy=0.847356 | |
| 2016-05-02 17:09:14,351 Node[0] Epoch[26] Batch [50] Speed: 620.74 samples/sec Train-accuracy=0.908906 | |
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| 2016-05-02 17:10:24,793 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-02 17:10:24,793 Node[0] Epoch[26] Time cost=80.807 | |
| 2016-05-02 17:10:24,953 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-02 17:10:26,851 Node[0] Epoch[26] Validation-accuracy=0.842448 | |
| 2016-05-02 17:10:37,239 Node[0] Epoch[27] Batch [50] Speed: 619.34 samples/sec Train-accuracy=0.907969 | |
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| 2016-05-02 17:11:48,098 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-02 17:11:48,098 Node[0] Epoch[27] Time cost=81.248 | |
| 2016-05-02 17:11:48,265 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-02 17:11:50,169 Node[0] Epoch[27] Validation-accuracy=0.819111 | |
| 2016-05-02 17:12:00,543 Node[0] Epoch[28] Batch [50] Speed: 620.15 samples/sec Train-accuracy=0.915000 | |
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| 2016-05-02 17:13:11,265 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-02 17:13:11,266 Node[0] Epoch[28] Time cost=81.096 | |
| 2016-05-02 17:13:11,428 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-02 17:13:13,320 Node[0] Epoch[28] Validation-accuracy=0.868990 | |
| 2016-05-02 17:13:23,675 Node[0] Epoch[29] Batch [50] Speed: 621.34 samples/sec Train-accuracy=0.914219 | |
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| 2016-05-02 17:14:34,177 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-02 17:14:34,177 Node[0] Epoch[29] Time cost=80.857 | |
| 2016-05-02 17:14:34,347 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-02 17:14:36,254 Node[0] Epoch[29] Validation-accuracy=0.836639 | |
| 2016-05-02 17:14:46,653 Node[0] Epoch[30] Batch [50] Speed: 618.73 samples/sec Train-accuracy=0.916250 | |
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| 2016-05-02 17:15:57,300 Node[0] Epoch[30] Time cost=81.046 | |
| 2016-05-02 17:15:57,466 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-02 17:15:59,364 Node[0] Epoch[30] Validation-accuracy=0.856270 | |
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| 2016-05-02 17:17:20,296 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-02 17:17:20,297 Node[0] Epoch[31] Time cost=80.933 | |
| 2016-05-02 17:17:20,454 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-02 17:17:22,362 Node[0] Epoch[31] Validation-accuracy=0.856971 | |
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| 2016-05-02 17:18:43,596 Node[0] Epoch[32] Time cost=81.234 | |
| 2016-05-02 17:18:43,759 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-02 17:18:45,938 Node[0] Epoch[32] Validation-accuracy=0.861452 | |
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| 2016-05-02 17:20:07,088 Node[0] Epoch[33] Time cost=81.150 | |
| 2016-05-02 17:20:07,251 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-02 17:20:09,143 Node[0] Epoch[33] Validation-accuracy=0.839844 | |
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| 2016-05-02 17:21:30,078 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-02 17:21:30,078 Node[0] Epoch[34] Time cost=80.935 | |
| 2016-05-02 17:21:30,238 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-02 17:21:32,145 Node[0] Epoch[34] Validation-accuracy=0.857672 | |
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| 2016-05-02 17:22:53,257 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-02 17:22:53,257 Node[0] Epoch[35] Time cost=81.112 | |
| 2016-05-02 17:22:53,420 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-02 17:22:55,318 Node[0] Epoch[35] Validation-accuracy=0.862480 | |
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| 2016-05-02 17:24:16,516 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-02 17:24:16,516 Node[0] Epoch[36] Time cost=81.198 | |
| 2016-05-02 17:24:16,686 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-02 17:24:18,610 Node[0] Epoch[36] Validation-accuracy=0.859575 | |
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| 2016-05-02 17:25:39,496 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-02 17:25:39,497 Node[0] Epoch[37] Time cost=80.887 | |
| 2016-05-02 17:25:39,657 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-02 17:25:41,549 Node[0] Epoch[37] Validation-accuracy=0.869792 | |
| 2016-05-02 17:25:51,957 Node[0] Epoch[38] Batch [50] Speed: 618.10 samples/sec Train-accuracy=0.925625 | |
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| 2016-05-02 17:26:54,078 Node[0] Epoch[38] Batch [350] Speed: 616.94 samples/sec Train-accuracy=0.931406 | |
| 2016-05-02 17:27:02,549 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-02 17:27:02,549 Node[0] Epoch[38] Time cost=81.000 | |
| 2016-05-02 17:27:02,711 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-02 17:27:04,597 Node[0] Epoch[38] Validation-accuracy=0.861579 | |
| 2016-05-02 17:27:14,929 Node[0] Epoch[39] Batch [50] Speed: 622.75 samples/sec Train-accuracy=0.929219 | |
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| 2016-05-02 17:28:25,375 Node[0] Epoch[39] Resetting Data Iterator | |
| 2016-05-02 17:28:25,376 Node[0] Epoch[39] Time cost=80.778 | |
| 2016-05-02 17:28:25,537 Node[0] Saved checkpoint to "cifar10/resnet-0040.params" | |
| 2016-05-02 17:28:27,411 Node[0] Epoch[39] Validation-accuracy=0.870393 | |
| 2016-05-02 17:28:37,764 Node[0] Epoch[40] Batch [50] Speed: 621.46 samples/sec Train-accuracy=0.927813 | |
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| 2016-05-02 17:29:48,497 Node[0] Epoch[40] Resetting Data Iterator | |
| 2016-05-02 17:29:48,497 Node[0] Epoch[40] Time cost=81.086 | |
| 2016-05-02 17:29:48,664 Node[0] Saved checkpoint to "cifar10/resnet-0041.params" | |
| 2016-05-02 17:29:50,783 Node[0] Epoch[40] Validation-accuracy=0.862737 | |
| 2016-05-02 17:30:01,219 Node[0] Epoch[41] Batch [50] Speed: 616.54 samples/sec Train-accuracy=0.929375 | |
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| 2016-05-02 17:31:11,827 Node[0] Epoch[41] Resetting Data Iterator | |
| 2016-05-02 17:31:11,828 Node[0] Epoch[41] Time cost=81.044 | |
| 2016-05-02 17:31:11,990 Node[0] Saved checkpoint to "cifar10/resnet-0042.params" | |
| 2016-05-02 17:31:13,885 Node[0] Epoch[41] Validation-accuracy=0.854067 | |
| 2016-05-02 17:31:24,230 Node[0] Epoch[42] Batch [50] Speed: 621.94 samples/sec Train-accuracy=0.935312 | |
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| 2016-05-02 17:32:34,740 Node[0] Epoch[42] Resetting Data Iterator | |
| 2016-05-02 17:32:34,740 Node[0] Epoch[42] Time cost=80.855 | |
| 2016-05-02 17:32:34,906 Node[0] Saved checkpoint to "cifar10/resnet-0043.params" | |
| 2016-05-02 17:32:36,830 Node[0] Epoch[42] Validation-accuracy=0.860176 | |
| 2016-05-02 17:32:47,180 Node[0] Epoch[43] Batch [50] Speed: 621.58 samples/sec Train-accuracy=0.928750 | |
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| 2016-05-02 17:33:57,942 Node[0] Epoch[43] Resetting Data Iterator | |
| 2016-05-02 17:33:57,942 Node[0] Epoch[43] Time cost=81.112 | |
| 2016-05-02 17:33:58,102 Node[0] Saved checkpoint to "cifar10/resnet-0044.params" | |
| 2016-05-02 17:33:59,978 Node[0] Epoch[43] Validation-accuracy=0.858474 | |
| 2016-05-02 17:34:10,374 Node[0] Epoch[44] Batch [50] Speed: 618.81 samples/sec Train-accuracy=0.928281 | |
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| 2016-05-02 17:35:20,958 Node[0] Epoch[44] Resetting Data Iterator | |
| 2016-05-02 17:35:20,958 Node[0] Epoch[44] Time cost=80.980 | |
| 2016-05-02 17:35:21,122 Node[0] Saved checkpoint to "cifar10/resnet-0045.params" | |
| 2016-05-02 17:35:23,040 Node[0] Epoch[44] Validation-accuracy=0.880909 | |
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| 2016-05-02 17:36:43,818 Node[0] Epoch[45] Resetting Data Iterator | |
| 2016-05-02 17:36:43,818 Node[0] Epoch[45] Time cost=80.778 | |
| 2016-05-02 17:36:43,980 Node[0] Saved checkpoint to "cifar10/resnet-0046.params" | |
| 2016-05-02 17:36:45,893 Node[0] Epoch[45] Validation-accuracy=0.877504 | |
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| 2016-05-02 17:38:06,929 Node[0] Epoch[46] Resetting Data Iterator | |
| 2016-05-02 17:38:06,929 Node[0] Epoch[46] Time cost=81.036 | |
| 2016-05-02 17:38:07,093 Node[0] Saved checkpoint to "cifar10/resnet-0047.params" | |
| 2016-05-02 17:38:09,009 Node[0] Epoch[46] Validation-accuracy=0.872897 | |
| 2016-05-02 17:38:19,475 Node[0] Epoch[47] Batch [50] Speed: 614.86 samples/sec Train-accuracy=0.933438 | |
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| 2016-05-02 17:39:30,045 Node[0] Epoch[47] Resetting Data Iterator | |
| 2016-05-02 17:39:30,045 Node[0] Epoch[47] Time cost=81.036 | |
| 2016-05-02 17:39:30,207 Node[0] Saved checkpoint to "cifar10/resnet-0048.params" | |
| 2016-05-02 17:39:32,084 Node[0] Epoch[47] Validation-accuracy=0.888922 | |
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| 2016-05-02 17:40:52,910 Node[0] Epoch[48] Resetting Data Iterator | |
| 2016-05-02 17:40:52,910 Node[0] Epoch[48] Time cost=80.826 | |
| 2016-05-02 17:40:53,069 Node[0] Saved checkpoint to "cifar10/resnet-0049.params" | |
| 2016-05-02 17:40:55,176 Node[0] Epoch[48] Validation-accuracy=0.864814 | |
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| 2016-05-02 17:42:16,350 Node[0] Epoch[49] Resetting Data Iterator | |
| 2016-05-02 17:42:16,351 Node[0] Epoch[49] Time cost=81.175 | |
| 2016-05-02 17:42:16,512 Node[0] Saved checkpoint to "cifar10/resnet-0050.params" | |
| 2016-05-02 17:42:18,383 Node[0] Epoch[49] Validation-accuracy=0.868289 | |
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| 2016-05-02 17:43:39,134 Node[0] Epoch[50] Time cost=80.751 | |
| 2016-05-02 17:43:39,298 Node[0] Saved checkpoint to "cifar10/resnet-0051.params" | |
| 2016-05-02 17:43:41,237 Node[0] Epoch[50] Validation-accuracy=0.872095 | |
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| 2016-05-02 17:45:02,139 Node[0] Epoch[51] Time cost=80.902 | |
| 2016-05-02 17:45:02,302 Node[0] Saved checkpoint to "cifar10/resnet-0052.params" | |
| 2016-05-02 17:45:04,179 Node[0] Epoch[51] Validation-accuracy=0.878205 | |
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| 2016-05-02 17:46:25,228 Node[0] Epoch[52] Resetting Data Iterator | |
| 2016-05-02 17:46:25,228 Node[0] Epoch[52] Time cost=81.049 | |
| 2016-05-02 17:46:25,390 Node[0] Saved checkpoint to "cifar10/resnet-0053.params" | |
| 2016-05-02 17:46:27,301 Node[0] Epoch[52] Validation-accuracy=0.872095 | |
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| 2016-05-02 17:47:48,157 Node[0] Epoch[53] Resetting Data Iterator | |
| 2016-05-02 17:47:48,157 Node[0] Epoch[53] Time cost=80.856 | |
| 2016-05-02 17:47:48,320 Node[0] Saved checkpoint to "cifar10/resnet-0054.params" | |
| 2016-05-02 17:47:50,229 Node[0] Epoch[53] Validation-accuracy=0.871595 | |
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| 2016-05-02 17:49:11,123 Node[0] Epoch[54] Resetting Data Iterator | |
| 2016-05-02 17:49:11,123 Node[0] Epoch[54] Time cost=80.894 | |
| 2016-05-02 17:49:11,286 Node[0] Saved checkpoint to "cifar10/resnet-0055.params" | |
| 2016-05-02 17:49:13,217 Node[0] Epoch[54] Validation-accuracy=0.878906 | |
| 2016-05-02 17:49:23,657 Node[0] Epoch[55] Batch [50] Speed: 616.25 samples/sec Train-accuracy=0.940781 | |
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| 2016-05-02 17:50:04,961 Node[0] Epoch[55] Batch [250] Speed: 620.31 samples/sec Train-accuracy=0.938125 | |
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| 2016-05-02 17:50:25,649 Node[0] Epoch[55] Batch [350] Speed: 619.22 samples/sec Train-accuracy=0.945312 | |
| 2016-05-02 17:50:33,909 Node[0] Epoch[55] Resetting Data Iterator | |
| 2016-05-02 17:50:33,909 Node[0] Epoch[55] Time cost=80.692 | |
| 2016-05-02 17:50:34,071 Node[0] Saved checkpoint to "cifar10/resnet-0056.params" | |
| 2016-05-02 17:50:35,945 Node[0] Epoch[55] Validation-accuracy=0.878405 | |
| 2016-05-02 17:50:46,319 Node[0] Epoch[56] Batch [50] Speed: 620.28 samples/sec Train-accuracy=0.942187 | |
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| 2016-05-02 17:51:56,895 Node[0] Epoch[56] Resetting Data Iterator | |
| 2016-05-02 17:51:56,895 Node[0] Epoch[56] Time cost=80.950 | |
| 2016-05-02 17:51:57,056 Node[0] Saved checkpoint to "cifar10/resnet-0057.params" | |
| 2016-05-02 17:51:59,127 Node[0] Epoch[56] Validation-accuracy=0.882219 | |
| 2016-05-02 17:52:09,446 Node[0] Epoch[57] Batch [50] Speed: 623.51 samples/sec Train-accuracy=0.938906 | |
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| 2016-05-02 17:53:20,033 Node[0] Epoch[57] Resetting Data Iterator | |
| 2016-05-02 17:53:20,033 Node[0] Epoch[57] Time cost=80.906 | |
| 2016-05-02 17:53:20,198 Node[0] Saved checkpoint to "cifar10/resnet-0058.params" | |
| 2016-05-02 17:53:22,110 Node[0] Epoch[57] Validation-accuracy=0.876803 | |
| 2016-05-02 17:53:32,557 Node[0] Epoch[58] Batch [50] Speed: 615.83 samples/sec Train-accuracy=0.945312 | |
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| 2016-05-02 17:54:34,719 Node[0] Epoch[58] Batch [350] Speed: 615.72 samples/sec Train-accuracy=0.946406 | |
| 2016-05-02 17:54:42,984 Node[0] Epoch[58] Resetting Data Iterator | |
| 2016-05-02 17:54:42,984 Node[0] Epoch[58] Time cost=80.874 | |
| 2016-05-02 17:54:43,146 Node[0] Saved checkpoint to "cifar10/resnet-0059.params" | |
| 2016-05-02 17:54:45,030 Node[0] Epoch[58] Validation-accuracy=0.860978 | |
| 2016-05-02 17:54:55,426 Node[0] Epoch[59] Batch [50] Speed: 618.96 samples/sec Train-accuracy=0.942813 | |
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| 2016-05-02 17:56:06,151 Node[0] Epoch[59] Resetting Data Iterator | |
| 2016-05-02 17:56:06,151 Node[0] Epoch[59] Time cost=81.120 | |
| 2016-05-02 17:56:06,311 Node[0] Saved checkpoint to "cifar10/resnet-0060.params" | |
| 2016-05-02 17:56:08,202 Node[0] Epoch[59] Validation-accuracy=0.874299 | |
| 2016-05-02 17:56:18,670 Node[0] Epoch[60] Batch [50] Speed: 614.59 samples/sec Train-accuracy=0.942031 | |
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| 2016-05-02 17:57:29,398 Node[0] Epoch[60] Resetting Data Iterator | |
| 2016-05-02 17:57:29,398 Node[0] Epoch[60] Time cost=81.195 | |
| 2016-05-02 17:57:29,561 Node[0] Saved checkpoint to "cifar10/resnet-0061.params" | |
| 2016-05-02 17:57:31,435 Node[0] Epoch[60] Validation-accuracy=0.863281 | |
| 2016-05-02 17:57:41,823 Node[0] Epoch[61] Batch [50] Speed: 619.26 samples/sec Train-accuracy=0.940937 | |
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| 2016-05-02 17:58:52,585 Node[0] Epoch[61] Resetting Data Iterator | |
| 2016-05-02 17:58:52,585 Node[0] Epoch[61] Time cost=81.150 | |
| 2016-05-02 17:58:52,749 Node[0] Saved checkpoint to "cifar10/resnet-0062.params" | |
| 2016-05-02 17:58:54,663 Node[0] Epoch[61] Validation-accuracy=0.883213 | |
| 2016-05-02 17:59:04,980 Node[0] Epoch[62] Batch [50] Speed: 623.59 samples/sec Train-accuracy=0.941562 | |
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| 2016-05-02 18:00:15,922 Node[0] Epoch[62] Resetting Data Iterator | |
| 2016-05-02 18:00:15,922 Node[0] Epoch[62] Time cost=81.259 | |
| 2016-05-02 18:00:16,085 Node[0] Saved checkpoint to "cifar10/resnet-0063.params" | |
| 2016-05-02 18:00:17,956 Node[0] Epoch[62] Validation-accuracy=0.869191 | |
| 2016-05-02 18:00:28,288 Node[0] Epoch[63] Batch [50] Speed: 622.80 samples/sec Train-accuracy=0.941719 | |
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| 2016-05-02 18:00:49,055 Node[0] Epoch[63] Batch [150] Speed: 614.31 samples/sec Train-accuracy=0.945469 | |
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| 2016-05-02 18:01:39,066 Node[0] Epoch[63] Resetting Data Iterator | |
| 2016-05-02 18:01:39,067 Node[0] Epoch[63] Time cost=81.110 | |
| 2016-05-02 18:01:39,233 Node[0] Saved checkpoint to "cifar10/resnet-0064.params" | |
| 2016-05-02 18:01:41,133 Node[0] Epoch[63] Validation-accuracy=0.869692 | |
| 2016-05-02 18:01:51,491 Node[0] Epoch[64] Batch [50] Speed: 621.21 samples/sec Train-accuracy=0.941406 | |
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| 2016-05-02 18:03:02,247 Node[0] Epoch[64] Resetting Data Iterator | |
| 2016-05-02 18:03:02,248 Node[0] Epoch[64] Time cost=81.114 | |
| 2016-05-02 18:03:02,411 Node[0] Saved checkpoint to "cifar10/resnet-0065.params" | |
| 2016-05-02 18:03:04,541 Node[0] Epoch[64] Validation-accuracy=0.885186 | |
| 2016-05-02 18:03:15,046 Node[0] Epoch[65] Batch [50] Speed: 612.42 samples/sec Train-accuracy=0.945000 | |
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| 2016-05-02 18:04:25,718 Node[0] Epoch[65] Resetting Data Iterator | |
| 2016-05-02 18:04:25,718 Node[0] Epoch[65] Time cost=81.177 | |
| 2016-05-02 18:04:25,882 Node[0] Saved checkpoint to "cifar10/resnet-0066.params" | |
| 2016-05-02 18:04:27,784 Node[0] Epoch[65] Validation-accuracy=0.854267 | |
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| 2016-05-02 18:05:48,617 Node[0] Epoch[66] Resetting Data Iterator | |
| 2016-05-02 18:05:48,618 Node[0] Epoch[66] Time cost=80.833 | |
| 2016-05-02 18:05:48,782 Node[0] Saved checkpoint to "cifar10/resnet-0067.params" | |
| 2016-05-02 18:05:50,669 Node[0] Epoch[66] Validation-accuracy=0.878806 | |
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| 2016-05-02 18:07:11,733 Node[0] Epoch[67] Resetting Data Iterator | |
| 2016-05-02 18:07:11,733 Node[0] Epoch[67] Time cost=81.064 | |
| 2016-05-02 18:07:11,895 Node[0] Saved checkpoint to "cifar10/resnet-0068.params" | |
| 2016-05-02 18:07:13,802 Node[0] Epoch[67] Validation-accuracy=0.883213 | |
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| 2016-05-02 18:08:34,979 Node[0] Epoch[68] Resetting Data Iterator | |
| 2016-05-02 18:08:34,980 Node[0] Epoch[68] Time cost=81.178 | |
| 2016-05-02 18:08:35,148 Node[0] Saved checkpoint to "cifar10/resnet-0069.params" | |
| 2016-05-02 18:08:37,011 Node[0] Epoch[68] Validation-accuracy=0.881210 | |
| 2016-05-02 18:08:47,371 Node[0] Epoch[69] Batch [50] Speed: 621.02 samples/sec Train-accuracy=0.946719 | |
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| 2016-05-02 18:09:49,712 Node[0] Epoch[69] Batch [350] Speed: 616.70 samples/sec Train-accuracy=0.950000 | |
| 2016-05-02 18:09:57,974 Node[0] Epoch[69] Resetting Data Iterator | |
| 2016-05-02 18:09:57,974 Node[0] Epoch[69] Time cost=80.963 | |
| 2016-05-02 18:09:58,135 Node[0] Saved checkpoint to "cifar10/resnet-0070.params" | |
| 2016-05-02 18:10:00,031 Node[0] Epoch[69] Validation-accuracy=0.870593 | |
| 2016-05-02 18:10:10,487 Node[0] Epoch[70] Batch [50] Speed: 615.32 samples/sec Train-accuracy=0.948125 | |
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| 2016-05-02 18:11:02,322 Node[0] Epoch[70] Batch [300] Speed: 614.90 samples/sec Train-accuracy=0.946875 | |
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| 2016-05-02 18:11:21,217 Node[0] Epoch[70] Resetting Data Iterator | |
| 2016-05-02 18:11:21,217 Node[0] Epoch[70] Time cost=81.186 | |
| 2016-05-02 18:11:21,379 Node[0] Saved checkpoint to "cifar10/resnet-0071.params" | |
| 2016-05-02 18:11:23,292 Node[0] Epoch[70] Validation-accuracy=0.887320 | |
| 2016-05-02 18:11:33,668 Node[0] Epoch[71] Batch [50] Speed: 620.05 samples/sec Train-accuracy=0.954844 | |
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| 2016-05-02 18:12:36,043 Node[0] Epoch[71] Batch [350] Speed: 610.71 samples/sec Train-accuracy=0.950781 | |
| 2016-05-02 18:12:44,360 Node[0] Epoch[71] Resetting Data Iterator | |
| 2016-05-02 18:12:44,361 Node[0] Epoch[71] Time cost=81.068 | |
| 2016-05-02 18:12:44,525 Node[0] Saved checkpoint to "cifar10/resnet-0072.params" | |
| 2016-05-02 18:12:46,409 Node[0] Epoch[71] Validation-accuracy=0.863982 | |
| 2016-05-02 18:12:56,838 Node[0] Epoch[72] Batch [50] Speed: 616.89 samples/sec Train-accuracy=0.949375 | |
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| 2016-05-02 18:13:48,869 Node[0] Epoch[72] Batch [300] Speed: 610.84 samples/sec Train-accuracy=0.947344 | |
| 2016-05-02 18:13:59,279 Node[0] Epoch[72] Batch [350] Speed: 614.82 samples/sec Train-accuracy=0.947500 | |
| 2016-05-02 18:14:07,784 Node[0] Epoch[72] Resetting Data Iterator | |
| 2016-05-02 18:14:07,784 Node[0] Epoch[72] Time cost=81.376 | |
| 2016-05-02 18:14:07,949 Node[0] Saved checkpoint to "cifar10/resnet-0073.params" | |
| 2016-05-02 18:14:10,034 Node[0] Epoch[72] Validation-accuracy=0.874901 | |
| 2016-05-02 18:14:20,358 Node[0] Epoch[73] Batch [50] Speed: 623.10 samples/sec Train-accuracy=0.951562 | |
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| 2016-05-02 18:15:22,617 Node[0] Epoch[73] Batch [350] Speed: 618.14 samples/sec Train-accuracy=0.956406 | |
| 2016-05-02 18:15:31,104 Node[0] Epoch[73] Resetting Data Iterator | |
| 2016-05-02 18:15:31,104 Node[0] Epoch[73] Time cost=81.070 | |
| 2016-05-02 18:15:31,265 Node[0] Saved checkpoint to "cifar10/resnet-0074.params" | |
| 2016-05-02 18:15:33,171 Node[0] Epoch[73] Validation-accuracy=0.880509 | |
| 2016-05-02 18:15:43,585 Node[0] Epoch[74] Batch [50] Speed: 617.80 samples/sec Train-accuracy=0.948281 | |
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| 2016-05-02 18:16:45,883 Node[0] Epoch[74] Batch [350] Speed: 613.43 samples/sec Train-accuracy=0.947187 | |
| 2016-05-02 18:16:54,204 Node[0] Epoch[74] Resetting Data Iterator | |
| 2016-05-02 18:16:54,204 Node[0] Epoch[74] Time cost=81.033 | |
| 2016-05-02 18:16:54,367 Node[0] Saved checkpoint to "cifar10/resnet-0075.params" | |
| 2016-05-02 18:16:56,297 Node[0] Epoch[74] Validation-accuracy=0.872596 | |
| 2016-05-02 18:17:06,688 Node[0] Epoch[75] Batch [50] Speed: 619.14 samples/sec Train-accuracy=0.948906 | |
| 2016-05-02 18:17:17,089 Node[0] Epoch[75] Batch [100] Speed: 615.35 samples/sec Train-accuracy=0.947031 | |
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| 2016-05-02 18:18:09,066 Node[0] Epoch[75] Batch [350] Speed: 615.04 samples/sec Train-accuracy=0.948750 | |
| 2016-05-02 18:18:17,578 Node[0] Epoch[75] Resetting Data Iterator | |
| 2016-05-02 18:18:17,578 Node[0] Epoch[75] Time cost=81.281 | |
| 2016-05-02 18:18:17,737 Node[0] Saved checkpoint to "cifar10/resnet-0076.params" | |
| 2016-05-02 18:18:19,626 Node[0] Epoch[75] Validation-accuracy=0.883614 | |
| 2016-05-02 18:18:29,983 Node[0] Epoch[76] Batch [50] Speed: 621.15 samples/sec Train-accuracy=0.946719 | |
| 2016-05-02 18:18:40,331 Node[0] Epoch[76] Batch [100] Speed: 618.47 samples/sec Train-accuracy=0.950469 | |
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| 2016-05-02 18:19:32,127 Node[0] Epoch[76] Batch [350] Speed: 614.07 samples/sec Train-accuracy=0.953594 | |
| 2016-05-02 18:19:40,651 Node[0] Epoch[76] Resetting Data Iterator | |
| 2016-05-02 18:19:40,652 Node[0] Epoch[76] Time cost=81.025 | |
| 2016-05-02 18:19:40,817 Node[0] Saved checkpoint to "cifar10/resnet-0077.params" | |
| 2016-05-02 18:19:42,725 Node[0] Epoch[76] Validation-accuracy=0.889423 | |
| 2016-05-02 18:19:53,091 Node[0] Epoch[77] Batch [50] Speed: 620.58 samples/sec Train-accuracy=0.951406 | |
| 2016-05-02 18:20:03,479 Node[0] Epoch[77] Batch [100] Speed: 616.13 samples/sec Train-accuracy=0.947500 | |
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| 2016-05-02 18:21:03,698 Node[0] Epoch[77] Resetting Data Iterator | |
| 2016-05-02 18:21:03,699 Node[0] Epoch[77] Time cost=80.974 | |
| 2016-05-02 18:21:03,863 Node[0] Saved checkpoint to "cifar10/resnet-0078.params" | |
| 2016-05-02 18:21:05,750 Node[0] Epoch[77] Validation-accuracy=0.869892 | |
| 2016-05-02 18:21:16,091 Node[0] Epoch[78] Batch [50] Speed: 622.28 samples/sec Train-accuracy=0.947500 | |
| 2016-05-02 18:21:26,519 Node[0] Epoch[78] Batch [100] Speed: 613.75 samples/sec Train-accuracy=0.946719 | |
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| 2016-05-02 18:22:18,476 Node[0] Epoch[78] Batch [350] Speed: 614.40 samples/sec Train-accuracy=0.950781 | |
| 2016-05-02 18:22:27,004 Node[0] Epoch[78] Resetting Data Iterator | |
| 2016-05-02 18:22:27,004 Node[0] Epoch[78] Time cost=81.254 | |
| 2016-05-02 18:22:27,166 Node[0] Saved checkpoint to "cifar10/resnet-0079.params" | |
| 2016-05-02 18:22:29,092 Node[0] Epoch[78] Validation-accuracy=0.884916 | |
| 2016-05-02 18:22:39,541 Node[0] Epoch[79] Batch [50] Speed: 615.66 samples/sec Train-accuracy=0.947187 | |
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| 2016-05-02 18:23:31,372 Node[0] Epoch[79] Batch [300] Speed: 616.91 samples/sec Train-accuracy=0.950313 | |
| 2016-05-02 18:23:41,766 Node[0] Epoch[79] Batch [350] Speed: 615.72 samples/sec Train-accuracy=0.951875 | |
| 2016-05-02 18:23:50,032 Node[0] Epoch[79] Resetting Data Iterator | |
| 2016-05-02 18:23:50,032 Node[0] Epoch[79] Time cost=80.940 | |
| 2016-05-02 18:23:50,194 Node[0] Saved checkpoint to "cifar10/resnet-0080.params" | |
| 2016-05-02 18:23:52,086 Node[0] Epoch[79] Validation-accuracy=0.875200 | |
| 2016-05-02 18:23:52,086 Node[0] Update[31251]: Change learning rate to 1.00000e-02 | |
| 2016-05-02 18:24:02,398 Node[0] Epoch[80] Batch [50] Speed: 623.90 samples/sec Train-accuracy=0.951875 | |
| 2016-05-02 18:24:12,802 Node[0] Epoch[80] Batch [100] Speed: 615.19 samples/sec Train-accuracy=0.964063 | |
| 2016-05-02 18:24:23,195 Node[0] Epoch[80] Batch [150] Speed: 615.82 samples/sec Train-accuracy=0.966719 | |
| 2016-05-02 18:24:33,519 Node[0] Epoch[80] Batch [200] Speed: 619.90 samples/sec Train-accuracy=0.970156 | |
| 2016-05-02 18:24:43,867 Node[0] Epoch[80] Batch [250] Speed: 618.52 samples/sec Train-accuracy=0.975156 | |
| 2016-05-02 18:24:54,225 Node[0] Epoch[80] Batch [300] Speed: 617.88 samples/sec Train-accuracy=0.979375 | |
| 2016-05-02 18:25:04,655 Node[0] Epoch[80] Batch [350] Speed: 613.62 samples/sec Train-accuracy=0.982031 | |
| 2016-05-02 18:25:13,209 Node[0] Epoch[80] Resetting Data Iterator | |
| 2016-05-02 18:25:13,209 Node[0] Epoch[80] Time cost=81.123 | |
| 2016-05-02 18:25:13,370 Node[0] Saved checkpoint to "cifar10/resnet-0081.params" | |
| 2016-05-02 18:25:15,495 Node[0] Epoch[80] Validation-accuracy=0.913766 | |
| 2016-05-02 18:25:25,882 Node[0] Epoch[81] Batch [50] Speed: 619.39 samples/sec Train-accuracy=0.977969 | |
| 2016-05-02 18:25:36,236 Node[0] Epoch[81] Batch [100] Speed: 618.10 samples/sec Train-accuracy=0.981875 | |
| 2016-05-02 18:25:46,594 Node[0] Epoch[81] Batch [150] Speed: 617.91 samples/sec Train-accuracy=0.980313 | |
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| 2016-05-02 18:26:07,305 Node[0] Epoch[81] Batch [250] Speed: 617.59 samples/sec Train-accuracy=0.980625 | |
| 2016-05-02 18:26:17,679 Node[0] Epoch[81] Batch [300] Speed: 616.95 samples/sec Train-accuracy=0.984062 | |
| 2016-05-02 18:26:28,105 Node[0] Epoch[81] Batch [350] Speed: 613.87 samples/sec Train-accuracy=0.985781 | |
| 2016-05-02 18:26:36,623 Node[0] Epoch[81] Resetting Data Iterator | |
| 2016-05-02 18:26:36,624 Node[0] Epoch[81] Time cost=81.128 | |
| 2016-05-02 18:26:36,788 Node[0] Saved checkpoint to "cifar10/resnet-0082.params" | |
| 2016-05-02 18:26:38,671 Node[0] Epoch[81] Validation-accuracy=0.915765 | |
| 2016-05-02 18:26:49,004 Node[0] Epoch[82] Batch [50] Speed: 622.62 samples/sec Train-accuracy=0.981719 | |
| 2016-05-02 18:26:59,378 Node[0] Epoch[82] Batch [100] Speed: 616.92 samples/sec Train-accuracy=0.984688 | |
| 2016-05-02 18:27:09,724 Node[0] Epoch[82] Batch [150] Speed: 618.63 samples/sec Train-accuracy=0.985938 | |
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| 2016-05-02 18:27:30,465 Node[0] Epoch[82] Batch [250] Speed: 616.62 samples/sec Train-accuracy=0.983437 | |
| 2016-05-02 18:27:40,820 Node[0] Epoch[82] Batch [300] Speed: 618.08 samples/sec Train-accuracy=0.985469 | |
| 2016-05-02 18:27:51,158 Node[0] Epoch[82] Batch [350] Speed: 619.04 samples/sec Train-accuracy=0.989375 | |
| 2016-05-02 18:27:59,437 Node[0] Epoch[82] Resetting Data Iterator | |
| 2016-05-02 18:27:59,438 Node[0] Epoch[82] Time cost=80.767 | |
| 2016-05-02 18:27:59,600 Node[0] Saved checkpoint to "cifar10/resnet-0083.params" | |
| 2016-05-02 18:28:01,490 Node[0] Epoch[82] Validation-accuracy=0.915865 | |
| 2016-05-02 18:28:11,862 Node[0] Epoch[83] Batch [50] Speed: 620.28 samples/sec Train-accuracy=0.983125 | |
| 2016-05-02 18:28:22,243 Node[0] Epoch[83] Batch [100] Speed: 616.55 samples/sec Train-accuracy=0.987031 | |
| 2016-05-02 18:28:32,623 Node[0] Epoch[83] Batch [150] Speed: 616.56 samples/sec Train-accuracy=0.987187 | |
| 2016-05-02 18:28:43,018 Node[0] Epoch[83] Batch [200] Speed: 615.70 samples/sec Train-accuracy=0.983906 | |
| 2016-05-02 18:28:53,345 Node[0] Epoch[83] Batch [250] Speed: 619.78 samples/sec Train-accuracy=0.986094 | |
| 2016-05-02 18:29:03,713 Node[0] Epoch[83] Batch [300] Speed: 617.27 samples/sec Train-accuracy=0.990781 | |
| 2016-05-02 18:29:14,086 Node[0] Epoch[83] Batch [350] Speed: 616.99 samples/sec Train-accuracy=0.988281 | |
| 2016-05-02 18:29:22,596 Node[0] Epoch[83] Resetting Data Iterator | |
| 2016-05-02 18:29:22,597 Node[0] Epoch[83] Time cost=81.106 | |
| 2016-05-02 18:29:22,759 Node[0] Saved checkpoint to "cifar10/resnet-0084.params" | |
| 2016-05-02 18:29:24,666 Node[0] Epoch[83] Validation-accuracy=0.918970 | |
| 2016-05-02 18:29:35,078 Node[0] Epoch[84] Batch [50] Speed: 617.88 samples/sec Train-accuracy=0.987812 | |
| 2016-05-02 18:29:45,377 Node[0] Epoch[84] Batch [100] Speed: 621.46 samples/sec Train-accuracy=0.990156 | |
| 2016-05-02 18:29:55,732 Node[0] Epoch[84] Batch [150] Speed: 618.06 samples/sec Train-accuracy=0.989531 | |
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| 2016-05-02 18:30:26,788 Node[0] Epoch[84] Batch [300] Speed: 620.18 samples/sec Train-accuracy=0.991563 | |
| 2016-05-02 18:30:37,131 Node[0] Epoch[84] Batch [350] Speed: 618.78 samples/sec Train-accuracy=0.992969 | |
| 2016-05-02 18:30:45,607 Node[0] Epoch[84] Resetting Data Iterator | |
| 2016-05-02 18:30:45,607 Node[0] Epoch[84] Time cost=80.941 | |
| 2016-05-02 18:30:45,769 Node[0] Saved checkpoint to "cifar10/resnet-0085.params" | |
| 2016-05-02 18:30:47,689 Node[0] Epoch[84] Validation-accuracy=0.921675 | |
| 2016-05-02 18:30:58,106 Node[0] Epoch[85] Batch [50] Speed: 617.60 samples/sec Train-accuracy=0.990938 | |
| 2016-05-02 18:31:08,487 Node[0] Epoch[85] Batch [100] Speed: 616.52 samples/sec Train-accuracy=0.989375 | |
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| 2016-05-02 18:31:49,878 Node[0] Epoch[85] Batch [300] Speed: 618.70 samples/sec Train-accuracy=0.992812 | |
| 2016-05-02 18:32:00,273 Node[0] Epoch[85] Batch [350] Speed: 615.68 samples/sec Train-accuracy=0.993594 | |
| 2016-05-02 18:32:08,538 Node[0] Epoch[85] Resetting Data Iterator | |
| 2016-05-02 18:32:08,539 Node[0] Epoch[85] Time cost=80.849 | |
| 2016-05-02 18:32:08,704 Node[0] Saved checkpoint to "cifar10/resnet-0086.params" | |
| 2016-05-02 18:32:10,654 Node[0] Epoch[85] Validation-accuracy=0.920473 | |
| 2016-05-02 18:32:21,058 Node[0] Epoch[86] Batch [50] Speed: 618.41 samples/sec Train-accuracy=0.990000 | |
| 2016-05-02 18:32:31,407 Node[0] Epoch[86] Batch [100] Speed: 618.46 samples/sec Train-accuracy=0.990938 | |
| 2016-05-02 18:32:41,760 Node[0] Epoch[86] Batch [150] Speed: 618.18 samples/sec Train-accuracy=0.990938 | |
| 2016-05-02 18:32:52,114 Node[0] Epoch[86] Batch [200] Speed: 618.13 samples/sec Train-accuracy=0.990469 | |
| 2016-05-02 18:33:02,442 Node[0] Epoch[86] Batch [250] Speed: 619.70 samples/sec Train-accuracy=0.991719 | |
| 2016-05-02 18:33:12,779 Node[0] Epoch[86] Batch [300] Speed: 619.13 samples/sec Train-accuracy=0.994219 | |
| 2016-05-02 18:33:23,158 Node[0] Epoch[86] Batch [350] Speed: 616.67 samples/sec Train-accuracy=0.991563 | |
| 2016-05-02 18:33:31,633 Node[0] Epoch[86] Resetting Data Iterator | |
| 2016-05-02 18:33:31,634 Node[0] Epoch[86] Time cost=80.980 | |
| 2016-05-02 18:33:31,794 Node[0] Saved checkpoint to "cifar10/resnet-0087.params" | |
| 2016-05-02 18:33:33,691 Node[0] Epoch[86] Validation-accuracy=0.921575 | |
| 2016-05-02 18:33:44,055 Node[0] Epoch[87] Batch [50] Speed: 620.76 samples/sec Train-accuracy=0.992188 | |
| 2016-05-02 18:33:54,427 Node[0] Epoch[87] Batch [100] Speed: 617.06 samples/sec Train-accuracy=0.993437 | |
| 2016-05-02 18:34:04,769 Node[0] Epoch[87] Batch [150] Speed: 618.84 samples/sec Train-accuracy=0.993437 | |
| 2016-05-02 18:34:15,117 Node[0] Epoch[87] Batch [200] Speed: 618.54 samples/sec Train-accuracy=0.992656 | |
| 2016-05-02 18:34:25,461 Node[0] Epoch[87] Batch [250] Speed: 618.68 samples/sec Train-accuracy=0.991250 | |
| 2016-05-02 18:34:35,887 Node[0] Epoch[87] Batch [300] Speed: 613.89 samples/sec Train-accuracy=0.992344 | |
| 2016-05-02 18:34:46,258 Node[0] Epoch[87] Batch [350] Speed: 617.10 samples/sec Train-accuracy=0.994531 | |
| 2016-05-02 18:34:54,526 Node[0] Epoch[87] Resetting Data Iterator | |
| 2016-05-02 18:34:54,526 Node[0] Epoch[87] Time cost=80.835 | |
| 2016-05-02 18:34:54,695 Node[0] Saved checkpoint to "cifar10/resnet-0088.params" | |
| 2016-05-02 18:34:56,588 Node[0] Epoch[87] Validation-accuracy=0.920773 | |
| 2016-05-02 18:35:06,974 Node[0] Epoch[88] Batch [50] Speed: 619.49 samples/sec Train-accuracy=0.992812 | |
| 2016-05-02 18:35:17,355 Node[0] Epoch[88] Batch [100] Speed: 616.53 samples/sec Train-accuracy=0.994062 | |
| 2016-05-02 18:35:27,685 Node[0] Epoch[88] Batch [150] Speed: 619.62 samples/sec Train-accuracy=0.990625 | |
| 2016-05-02 18:35:38,054 Node[0] Epoch[88] Batch [200] Speed: 617.24 samples/sec Train-accuracy=0.993125 | |
| 2016-05-02 18:35:48,415 Node[0] Epoch[88] Batch [250] Speed: 617.71 samples/sec Train-accuracy=0.992188 | |
| 2016-05-02 18:35:58,773 Node[0] Epoch[88] Batch [300] Speed: 617.90 samples/sec Train-accuracy=0.993750 | |
| 2016-05-02 18:36:09,145 Node[0] Epoch[88] Batch [350] Speed: 617.05 samples/sec Train-accuracy=0.994062 | |
| 2016-05-02 18:36:17,642 Node[0] Epoch[88] Resetting Data Iterator | |
| 2016-05-02 18:36:17,642 Node[0] Epoch[88] Time cost=81.054 | |
| 2016-05-02 18:36:17,804 Node[0] Saved checkpoint to "cifar10/resnet-0089.params" | |
| 2016-05-02 18:36:19,910 Node[0] Epoch[88] Validation-accuracy=0.921776 | |
| 2016-05-02 18:36:30,273 Node[0] Epoch[89] Batch [50] Speed: 620.85 samples/sec Train-accuracy=0.993594 | |
| 2016-05-02 18:36:40,616 Node[0] Epoch[89] Batch [100] Speed: 618.79 samples/sec Train-accuracy=0.994531 | |
| 2016-05-02 18:36:51,026 Node[0] Epoch[89] Batch [150] Speed: 614.81 samples/sec Train-accuracy=0.994219 | |
| 2016-05-02 18:37:01,400 Node[0] Epoch[89] Batch [200] Speed: 616.93 samples/sec Train-accuracy=0.991875 | |
| 2016-05-02 18:37:11,757 Node[0] Epoch[89] Batch [250] Speed: 617.93 samples/sec Train-accuracy=0.993437 | |
| 2016-05-02 18:37:22,157 Node[0] Epoch[89] Batch [300] Speed: 615.40 samples/sec Train-accuracy=0.996563 | |
| 2016-05-02 18:37:32,566 Node[0] Epoch[89] Batch [350] Speed: 614.90 samples/sec Train-accuracy=0.995625 | |
| 2016-05-02 18:37:41,074 Node[0] Epoch[89] Resetting Data Iterator | |
| 2016-05-02 18:37:41,074 Node[0] Epoch[89] Time cost=81.164 | |
| 2016-05-02 18:37:41,237 Node[0] Saved checkpoint to "cifar10/resnet-0090.params" | |
| 2016-05-02 18:37:43,141 Node[0] Epoch[89] Validation-accuracy=0.921975 | |
| 2016-05-02 18:37:53,573 Node[0] Epoch[90] Batch [50] Speed: 616.76 samples/sec Train-accuracy=0.993437 | |
| 2016-05-02 18:38:03,862 Node[0] Epoch[90] Batch [100] Speed: 622.04 samples/sec Train-accuracy=0.994687 | |
| 2016-05-02 18:38:14,135 Node[0] Epoch[90] Batch [150] Speed: 622.97 samples/sec Train-accuracy=0.994062 | |
| 2016-05-02 18:38:24,505 Node[0] Epoch[90] Batch [200] Speed: 617.23 samples/sec Train-accuracy=0.995469 | |
| 2016-05-02 18:38:34,879 Node[0] Epoch[90] Batch [250] Speed: 616.95 samples/sec Train-accuracy=0.995000 | |
| 2016-05-02 18:38:45,274 Node[0] Epoch[90] Batch [300] Speed: 615.69 samples/sec Train-accuracy=0.994375 | |
| 2016-05-02 18:38:55,644 Node[0] Epoch[90] Batch [350] Speed: 617.17 samples/sec Train-accuracy=0.995781 | |
| 2016-05-02 18:39:03,847 Node[0] Epoch[90] Resetting Data Iterator | |
| 2016-05-02 18:39:03,847 Node[0] Epoch[90] Time cost=80.706 | |
| 2016-05-02 18:39:04,008 Node[0] Saved checkpoint to "cifar10/resnet-0091.params" | |
| 2016-05-02 18:39:05,896 Node[0] Epoch[90] Validation-accuracy=0.921575 | |
| 2016-05-02 18:39:16,295 Node[0] Epoch[91] Batch [50] Speed: 618.67 samples/sec Train-accuracy=0.995313 | |
| 2016-05-02 18:39:26,654 Node[0] Epoch[91] Batch [100] Speed: 617.86 samples/sec Train-accuracy=0.994687 | |
| 2016-05-02 18:39:37,024 Node[0] Epoch[91] Batch [150] Speed: 617.19 samples/sec Train-accuracy=0.994219 | |
| 2016-05-02 18:39:47,376 Node[0] Epoch[91] Batch [200] Speed: 618.25 samples/sec Train-accuracy=0.993281 | |
| 2016-05-02 18:39:57,744 Node[0] Epoch[91] Batch [250] Speed: 617.26 samples/sec Train-accuracy=0.994062 | |
| 2016-05-02 18:40:08,073 Node[0] Epoch[91] Batch [300] Speed: 619.68 samples/sec Train-accuracy=0.995313 | |
| 2016-05-02 18:40:18,453 Node[0] Epoch[91] Batch [350] Speed: 616.55 samples/sec Train-accuracy=0.995156 | |
| 2016-05-02 18:40:26,904 Node[0] Epoch[91] Resetting Data Iterator | |
| 2016-05-02 18:40:26,904 Node[0] Epoch[91] Time cost=81.008 | |
| 2016-05-02 18:40:27,066 Node[0] Saved checkpoint to "cifar10/resnet-0092.params" | |
| 2016-05-02 18:40:29,004 Node[0] Epoch[91] Validation-accuracy=0.922276 | |
| 2016-05-02 18:40:39,428 Node[0] Epoch[92] Batch [50] Speed: 617.23 samples/sec Train-accuracy=0.992969 | |
| 2016-05-02 18:40:49,799 Node[0] Epoch[92] Batch [100] Speed: 617.15 samples/sec Train-accuracy=0.994687 | |
| 2016-05-02 18:41:00,166 Node[0] Epoch[92] Batch [150] Speed: 617.36 samples/sec Train-accuracy=0.996406 | |
| 2016-05-02 18:41:10,532 Node[0] Epoch[92] Batch [200] Speed: 617.42 samples/sec Train-accuracy=0.995156 | |
| 2016-05-02 18:41:20,900 Node[0] Epoch[92] Batch [250] Speed: 617.29 samples/sec Train-accuracy=0.996094 | |
| 2016-05-02 18:41:31,279 Node[0] Epoch[92] Batch [300] Speed: 616.66 samples/sec Train-accuracy=0.995781 | |
| 2016-05-02 18:41:41,667 Node[0] Epoch[92] Batch [350] Speed: 616.11 samples/sec Train-accuracy=0.995781 | |
| 2016-05-02 18:41:50,199 Node[0] Epoch[92] Resetting Data Iterator | |
| 2016-05-02 18:41:50,200 Node[0] Epoch[92] Time cost=81.195 | |
| 2016-05-02 18:41:50,361 Node[0] Saved checkpoint to "cifar10/resnet-0093.params" | |
| 2016-05-02 18:41:52,287 Node[0] Epoch[92] Validation-accuracy=0.922476 | |
| 2016-05-02 18:42:02,687 Node[0] Epoch[93] Batch [50] Speed: 618.62 samples/sec Train-accuracy=0.995156 | |
| 2016-05-02 18:42:13,023 Node[0] Epoch[93] Batch [100] Speed: 619.20 samples/sec Train-accuracy=0.994375 | |
| 2016-05-02 18:42:23,346 Node[0] Epoch[93] Batch [150] Speed: 620.00 samples/sec Train-accuracy=0.993906 | |
| 2016-05-02 18:42:33,660 Node[0] Epoch[93] Batch [200] Speed: 620.51 samples/sec Train-accuracy=0.995313 | |
| 2016-05-02 18:42:44,038 Node[0] Epoch[93] Batch [250] Speed: 616.71 samples/sec Train-accuracy=0.995469 | |
| 2016-05-02 18:42:54,461 Node[0] Epoch[93] Batch [300] Speed: 614.06 samples/sec Train-accuracy=0.995156 | |
| 2016-05-02 18:43:04,901 Node[0] Epoch[93] Batch [350] Speed: 613.04 samples/sec Train-accuracy=0.996719 | |
| 2016-05-02 18:43:13,163 Node[0] Epoch[93] Resetting Data Iterator | |
| 2016-05-02 18:43:13,163 Node[0] Epoch[93] Time cost=80.875 | |
| 2016-05-02 18:43:13,328 Node[0] Saved checkpoint to "cifar10/resnet-0094.params" | |
| 2016-05-02 18:43:15,227 Node[0] Epoch[93] Validation-accuracy=0.922576 | |
| 2016-05-02 18:43:25,591 Node[0] Epoch[94] Batch [50] Speed: 620.78 samples/sec Train-accuracy=0.993750 | |
| 2016-05-02 18:43:35,999 Node[0] Epoch[94] Batch [100] Speed: 614.94 samples/sec Train-accuracy=0.994687 | |
| 2016-05-02 18:43:46,393 Node[0] Epoch[94] Batch [150] Speed: 615.74 samples/sec Train-accuracy=0.995781 | |
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| 2016-05-02 18:44:07,143 Node[0] Epoch[94] Batch [250] Speed: 616.26 samples/sec Train-accuracy=0.995625 | |
| 2016-05-02 18:44:17,520 Node[0] Epoch[94] Batch [300] Speed: 616.73 samples/sec Train-accuracy=0.996406 | |
| 2016-05-02 18:44:27,835 Node[0] Epoch[94] Batch [350] Speed: 620.50 samples/sec Train-accuracy=0.997188 | |
| 2016-05-02 18:44:36,331 Node[0] Epoch[94] Resetting Data Iterator | |
| 2016-05-02 18:44:36,331 Node[0] Epoch[94] Time cost=81.104 | |
| 2016-05-02 18:44:36,496 Node[0] Saved checkpoint to "cifar10/resnet-0095.params" | |
| 2016-05-02 18:44:38,394 Node[0] Epoch[94] Validation-accuracy=0.921875 | |
| 2016-05-02 18:44:48,809 Node[0] Epoch[95] Batch [50] Speed: 617.82 samples/sec Train-accuracy=0.995938 | |
| 2016-05-02 18:44:59,188 Node[0] Epoch[95] Batch [100] Speed: 616.62 samples/sec Train-accuracy=0.996406 | |
| 2016-05-02 18:45:09,481 Node[0] Epoch[95] Batch [150] Speed: 621.78 samples/sec Train-accuracy=0.996250 | |
| 2016-05-02 18:45:19,822 Node[0] Epoch[95] Batch [200] Speed: 618.94 samples/sec Train-accuracy=0.995938 | |
| 2016-05-02 18:45:30,183 Node[0] Epoch[95] Batch [250] Speed: 617.69 samples/sec Train-accuracy=0.996250 | |
| 2016-05-02 18:45:40,566 Node[0] Epoch[95] Batch [300] Speed: 616.44 samples/sec Train-accuracy=0.996406 | |
| 2016-05-02 18:45:50,991 Node[0] Epoch[95] Batch [350] Speed: 613.93 samples/sec Train-accuracy=0.997656 | |
| 2016-05-02 18:45:59,274 Node[0] Epoch[95] Resetting Data Iterator | |
| 2016-05-02 18:45:59,275 Node[0] Epoch[95] Time cost=80.881 | |
| 2016-05-02 18:45:59,442 Node[0] Saved checkpoint to "cifar10/resnet-0096.params" | |
| 2016-05-02 18:46:01,321 Node[0] Epoch[95] Validation-accuracy=0.920873 | |
| 2016-05-02 18:46:11,662 Node[0] Epoch[96] Batch [50] Speed: 622.15 samples/sec Train-accuracy=0.995781 | |
| 2016-05-02 18:46:22,004 Node[0] Epoch[96] Batch [100] Speed: 618.87 samples/sec Train-accuracy=0.996250 | |
| 2016-05-02 18:46:32,342 Node[0] Epoch[96] Batch [150] Speed: 619.12 samples/sec Train-accuracy=0.995938 | |
| 2016-05-02 18:46:42,657 Node[0] Epoch[96] Batch [200] Speed: 620.41 samples/sec Train-accuracy=0.995156 | |
| 2016-05-02 18:46:53,042 Node[0] Epoch[96] Batch [250] Speed: 616.32 samples/sec Train-accuracy=0.996875 | |
| 2016-05-02 18:47:03,439 Node[0] Epoch[96] Batch [300] Speed: 615.54 samples/sec Train-accuracy=0.996250 | |
| 2016-05-02 18:47:13,809 Node[0] Epoch[96] Batch [350] Speed: 617.21 samples/sec Train-accuracy=0.997031 | |
| 2016-05-02 18:47:22,313 Node[0] Epoch[96] Resetting Data Iterator | |
| 2016-05-02 18:47:22,313 Node[0] Epoch[96] Time cost=80.992 | |
| 2016-05-02 18:47:22,473 Node[0] Saved checkpoint to "cifar10/resnet-0097.params" | |
| 2016-05-02 18:47:24,525 Node[0] Epoch[96] Validation-accuracy=0.922172 | |
| 2016-05-02 18:47:34,884 Node[0] Epoch[97] Batch [50] Speed: 621.10 samples/sec Train-accuracy=0.996875 | |
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| 2016-05-02 18:48:45,519 Node[0] Epoch[97] Resetting Data Iterator | |
| 2016-05-02 18:48:45,519 Node[0] Epoch[97] Time cost=80.994 | |
| 2016-05-02 18:48:45,684 Node[0] Saved checkpoint to "cifar10/resnet-0098.params" | |
| 2016-05-02 18:48:47,591 Node[0] Epoch[97] Validation-accuracy=0.922175 | |
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| 2016-05-02 18:50:08,208 Node[0] Epoch[98] Time cost=80.617 | |
| 2016-05-02 18:50:08,371 Node[0] Saved checkpoint to "cifar10/resnet-0099.params" | |
| 2016-05-02 18:50:10,290 Node[0] Epoch[98] Validation-accuracy=0.920172 | |
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| 2016-05-02 18:51:31,242 Node[0] Epoch[99] Time cost=80.951 | |
| 2016-05-02 18:51:31,404 Node[0] Saved checkpoint to "cifar10/resnet-0100.params" | |
| 2016-05-02 18:51:33,328 Node[0] Epoch[99] Validation-accuracy=0.922175 | |
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| 2016-05-02 18:52:54,137 Node[0] Epoch[100] Time cost=80.809 | |
| 2016-05-02 18:52:54,299 Node[0] Saved checkpoint to "cifar10/resnet-0101.params" | |
| 2016-05-02 18:52:56,178 Node[0] Epoch[100] Validation-accuracy=0.922476 | |
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| 2016-05-02 18:54:16,996 Node[0] Epoch[101] Time cost=80.818 | |
| 2016-05-02 18:54:17,158 Node[0] Saved checkpoint to "cifar10/resnet-0102.params" | |
| 2016-05-02 18:54:19,049 Node[0] Epoch[101] Validation-accuracy=0.922376 | |
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| 2016-05-02 18:55:39,859 Node[0] Epoch[102] Time cost=80.809 | |
| 2016-05-02 18:55:40,023 Node[0] Saved checkpoint to "cifar10/resnet-0103.params" | |
| 2016-05-02 18:55:41,923 Node[0] Epoch[102] Validation-accuracy=0.923177 | |
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| 2016-05-02 18:57:02,739 Node[0] Epoch[103] Time cost=80.816 | |
| 2016-05-02 18:57:02,896 Node[0] Saved checkpoint to "cifar10/resnet-0104.params" | |
| 2016-05-02 18:57:04,815 Node[0] Epoch[103] Validation-accuracy=0.920573 | |
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| 2016-05-02 18:58:25,752 Node[0] Epoch[104] Time cost=80.936 | |
| 2016-05-02 18:58:25,914 Node[0] Saved checkpoint to "cifar10/resnet-0105.params" | |
| 2016-05-02 18:58:27,971 Node[0] Epoch[104] Validation-accuracy=0.920985 | |
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| 2016-05-02 18:59:48,817 Node[0] Epoch[105] Resetting Data Iterator | |
| 2016-05-02 18:59:48,817 Node[0] Epoch[105] Time cost=80.846 | |
| 2016-05-02 18:59:48,985 Node[0] Saved checkpoint to "cifar10/resnet-0106.params" | |
| 2016-05-02 18:59:50,860 Node[0] Epoch[105] Validation-accuracy=0.923578 | |
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| 2016-05-02 19:01:11,610 Node[0] Epoch[106] Resetting Data Iterator | |
| 2016-05-02 19:01:11,610 Node[0] Epoch[106] Time cost=80.750 | |
| 2016-05-02 19:01:11,773 Node[0] Saved checkpoint to "cifar10/resnet-0107.params" | |
| 2016-05-02 19:01:13,656 Node[0] Epoch[106] Validation-accuracy=0.921474 | |
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| 2016-05-02 19:02:34,726 Node[0] Epoch[107] Time cost=81.070 | |
| 2016-05-02 19:02:34,886 Node[0] Saved checkpoint to "cifar10/resnet-0108.params" | |
| 2016-05-02 19:02:36,791 Node[0] Epoch[107] Validation-accuracy=0.921875 | |
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| 2016-05-02 19:03:57,712 Node[0] Epoch[108] Time cost=80.921 | |
| 2016-05-02 19:03:57,871 Node[0] Saved checkpoint to "cifar10/resnet-0109.params" | |
| 2016-05-02 19:03:59,773 Node[0] Epoch[108] Validation-accuracy=0.923578 | |
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| 2016-05-02 19:05:20,552 Node[0] Epoch[109] Resetting Data Iterator | |
| 2016-05-02 19:05:20,552 Node[0] Epoch[109] Time cost=80.778 | |
| 2016-05-02 19:05:20,714 Node[0] Saved checkpoint to "cifar10/resnet-0110.params" | |
| 2016-05-02 19:05:22,604 Node[0] Epoch[109] Validation-accuracy=0.922576 | |
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| 2016-05-02 19:06:43,436 Node[0] Epoch[110] Time cost=80.831 | |
| 2016-05-02 19:06:43,599 Node[0] Saved checkpoint to "cifar10/resnet-0111.params" | |
| 2016-05-02 19:06:45,524 Node[0] Epoch[110] Validation-accuracy=0.921374 | |
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| 2016-05-02 19:08:06,362 Node[0] Epoch[111] Resetting Data Iterator | |
| 2016-05-02 19:08:06,362 Node[0] Epoch[111] Time cost=80.838 | |
| 2016-05-02 19:08:06,520 Node[0] Saved checkpoint to "cifar10/resnet-0112.params" | |
| 2016-05-02 19:08:08,397 Node[0] Epoch[111] Validation-accuracy=0.923778 | |
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| 2016-05-02 19:09:29,258 Node[0] Epoch[112] Resetting Data Iterator | |
| 2016-05-02 19:09:29,258 Node[0] Epoch[112] Time cost=80.861 | |
| 2016-05-02 19:09:29,418 Node[0] Saved checkpoint to "cifar10/resnet-0113.params" | |
| 2016-05-02 19:09:31,570 Node[0] Epoch[112] Validation-accuracy=0.922271 | |
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| 2016-05-02 19:10:52,436 Node[0] Epoch[113] Time cost=80.866 | |
| 2016-05-02 19:10:52,595 Node[0] Saved checkpoint to "cifar10/resnet-0114.params" | |
| 2016-05-02 19:10:54,496 Node[0] Epoch[113] Validation-accuracy=0.922776 | |
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| 2016-05-02 19:12:15,146 Node[0] Epoch[114] Time cost=80.651 | |
| 2016-05-02 19:12:15,309 Node[0] Saved checkpoint to "cifar10/resnet-0115.params" | |
| 2016-05-02 19:12:17,191 Node[0] Epoch[114] Validation-accuracy=0.924179 | |
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| 2016-05-02 19:13:37,971 Node[0] Epoch[115] Time cost=80.780 | |
| 2016-05-02 19:13:38,133 Node[0] Saved checkpoint to "cifar10/resnet-0116.params" | |
| 2016-05-02 19:13:40,023 Node[0] Epoch[115] Validation-accuracy=0.924780 | |
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| 2016-05-02 19:15:01,052 Node[0] Epoch[116] Time cost=81.029 | |
| 2016-05-02 19:15:01,214 Node[0] Saved checkpoint to "cifar10/resnet-0117.params" | |
| 2016-05-02 19:15:03,098 Node[0] Epoch[116] Validation-accuracy=0.924179 | |
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| 2016-05-02 19:16:23,544 Node[0] Epoch[117] Time cost=80.446 | |
| 2016-05-02 19:16:23,707 Node[0] Saved checkpoint to "cifar10/resnet-0118.params" | |
| 2016-05-02 19:16:25,602 Node[0] Epoch[117] Validation-accuracy=0.923077 | |
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| 2016-05-02 19:17:46,286 Node[0] Epoch[118] Time cost=80.684 | |
| 2016-05-02 19:17:46,446 Node[0] Saved checkpoint to "cifar10/resnet-0119.params" | |
| 2016-05-02 19:17:48,333 Node[0] Epoch[118] Validation-accuracy=0.922877 | |
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| 2016-05-02 19:19:09,116 Node[0] Epoch[119] Time cost=80.782 | |
| 2016-05-02 19:19:09,276 Node[0] Saved checkpoint to "cifar10/resnet-0120.params" | |
| 2016-05-02 19:19:11,155 Node[0] Epoch[119] Validation-accuracy=0.921775 | |
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| 2016-05-02 19:20:31,974 Node[0] Epoch[120] Time cost=80.819 | |
| 2016-05-02 19:20:32,139 Node[0] Saved checkpoint to "cifar10/resnet-0121.params" | |
| 2016-05-02 19:20:34,232 Node[0] Epoch[120] Validation-accuracy=0.921084 | |
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| 2016-05-02 19:21:55,002 Node[0] Epoch[121] Time cost=80.770 | |
| 2016-05-02 19:21:55,163 Node[0] Saved checkpoint to "cifar10/resnet-0122.params" | |
| 2016-05-02 19:21:57,038 Node[0] Epoch[121] Validation-accuracy=0.922676 | |
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| 2016-05-02 19:23:17,658 Node[0] Epoch[122] Resetting Data Iterator | |
| 2016-05-02 19:23:17,658 Node[0] Epoch[122] Time cost=80.620 | |
| 2016-05-02 19:23:17,822 Node[0] Saved checkpoint to "cifar10/resnet-0123.params" | |
| 2016-05-02 19:23:19,713 Node[0] Epoch[122] Validation-accuracy=0.923377 | |
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| 2016-05-02 19:24:40,492 Node[0] Epoch[123] Time cost=80.779 | |
| 2016-05-02 19:24:40,654 Node[0] Saved checkpoint to "cifar10/resnet-0124.params" | |
| 2016-05-02 19:24:42,549 Node[0] Epoch[123] Validation-accuracy=0.922376 | |
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| 2016-05-02 19:26:03,209 Node[0] Epoch[124] Resetting Data Iterator | |
| 2016-05-02 19:26:03,209 Node[0] Epoch[124] Time cost=80.660 | |
| 2016-05-02 19:26:03,369 Node[0] Saved checkpoint to "cifar10/resnet-0125.params" | |
| 2016-05-02 19:26:05,265 Node[0] Epoch[124] Validation-accuracy=0.922175 | |
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| 2016-05-02 19:27:25,780 Node[0] Epoch[125] Time cost=80.515 | |
| 2016-05-02 19:27:25,943 Node[0] Saved checkpoint to "cifar10/resnet-0126.params" | |
| 2016-05-02 19:27:27,820 Node[0] Epoch[125] Validation-accuracy=0.922776 | |
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| 2016-05-02 19:28:48,443 Node[0] Epoch[126] Time cost=80.622 | |
| 2016-05-02 19:28:48,613 Node[0] Saved checkpoint to "cifar10/resnet-0127.params" | |
| 2016-05-02 19:28:50,498 Node[0] Epoch[126] Validation-accuracy=0.922276 | |
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| 2016-05-02 19:30:11,130 Node[0] Epoch[127] Time cost=80.632 | |
| 2016-05-02 19:30:11,294 Node[0] Saved checkpoint to "cifar10/resnet-0128.params" | |
| 2016-05-02 19:30:13,155 Node[0] Epoch[127] Validation-accuracy=0.922576 | |
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| 2016-05-02 19:31:33,775 Node[0] Epoch[128] Time cost=80.621 | |
| 2016-05-02 19:31:33,938 Node[0] Saved checkpoint to "cifar10/resnet-0129.params" | |
| 2016-05-02 19:31:36,021 Node[0] Epoch[128] Validation-accuracy=0.922073 | |
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| 2016-05-02 19:32:56,592 Node[0] Epoch[129] Time cost=80.571 | |
| 2016-05-02 19:32:56,757 Node[0] Saved checkpoint to "cifar10/resnet-0130.params" | |
| 2016-05-02 19:32:58,654 Node[0] Epoch[129] Validation-accuracy=0.924079 | |
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| 2016-05-02 19:34:19,094 Node[0] Epoch[130] Time cost=80.439 | |
| 2016-05-02 19:34:19,256 Node[0] Saved checkpoint to "cifar10/resnet-0131.params" | |
| 2016-05-02 19:34:21,122 Node[0] Epoch[130] Validation-accuracy=0.922877 | |
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| 2016-05-02 19:35:41,910 Node[0] Saved checkpoint to "cifar10/resnet-0132.params" | |
| 2016-05-02 19:35:43,800 Node[0] Epoch[131] Validation-accuracy=0.922075 | |
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| 2016-05-02 19:37:04,647 Node[0] Epoch[132] Time cost=80.847 | |
| 2016-05-02 19:37:04,808 Node[0] Saved checkpoint to "cifar10/resnet-0133.params" | |
| 2016-05-02 19:37:06,680 Node[0] Epoch[132] Validation-accuracy=0.922276 | |
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| 2016-05-02 19:38:27,124 Node[0] Epoch[133] Time cost=80.444 | |
| 2016-05-02 19:38:27,288 Node[0] Saved checkpoint to "cifar10/resnet-0134.params" | |
| 2016-05-02 19:38:29,144 Node[0] Epoch[133] Validation-accuracy=0.922175 | |
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| 2016-05-02 19:39:50,226 Node[0] Saved checkpoint to "cifar10/resnet-0135.params" | |
| 2016-05-02 19:39:52,116 Node[0] Epoch[134] Validation-accuracy=0.922376 | |
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| 2016-05-02 19:41:13,163 Node[0] Saved checkpoint to "cifar10/resnet-0136.params" | |
| 2016-05-02 19:41:15,022 Node[0] Epoch[135] Validation-accuracy=0.922175 | |
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| 2016-05-02 19:42:35,800 Node[0] Epoch[136] Time cost=80.777 | |
| 2016-05-02 19:42:35,965 Node[0] Saved checkpoint to "cifar10/resnet-0137.params" | |
| 2016-05-02 19:42:38,077 Node[0] Epoch[136] Validation-accuracy=0.924150 | |
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| 2016-05-02 19:43:58,824 Node[0] Epoch[137] Time cost=80.747 | |
| 2016-05-02 19:43:58,987 Node[0] Saved checkpoint to "cifar10/resnet-0138.params" | |
| 2016-05-02 19:44:00,875 Node[0] Epoch[137] Validation-accuracy=0.924479 | |
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| 2016-05-02 19:45:21,416 Node[0] Epoch[138] Time cost=80.541 | |
| 2016-05-02 19:45:21,580 Node[0] Saved checkpoint to "cifar10/resnet-0139.params" | |
| 2016-05-02 19:45:23,463 Node[0] Epoch[138] Validation-accuracy=0.923277 | |
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| 2016-05-02 19:46:44,061 Node[0] Epoch[139] Resetting Data Iterator | |
| 2016-05-02 19:46:44,061 Node[0] Epoch[139] Time cost=80.598 | |
| 2016-05-02 19:46:44,225 Node[0] Saved checkpoint to "cifar10/resnet-0140.params" | |
| 2016-05-02 19:46:46,142 Node[0] Epoch[139] Validation-accuracy=0.920873 | |
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| 2016-05-02 19:48:06,800 Node[0] Epoch[140] Resetting Data Iterator | |
| 2016-05-02 19:48:06,800 Node[0] Epoch[140] Time cost=80.658 | |
| 2016-05-02 19:48:06,963 Node[0] Saved checkpoint to "cifar10/resnet-0141.params" | |
| 2016-05-02 19:48:08,856 Node[0] Epoch[140] Validation-accuracy=0.923978 | |
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| 2016-05-02 19:49:29,465 Node[0] Epoch[141] Time cost=80.609 | |
| 2016-05-02 19:49:29,626 Node[0] Saved checkpoint to "cifar10/resnet-0142.params" | |
| 2016-05-02 19:49:31,552 Node[0] Epoch[141] Validation-accuracy=0.924880 | |
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| 2016-05-02 19:50:52,177 Node[0] Epoch[142] Time cost=80.625 | |
| 2016-05-02 19:50:52,342 Node[0] Saved checkpoint to "cifar10/resnet-0143.params" | |
| 2016-05-02 19:50:54,220 Node[0] Epoch[142] Validation-accuracy=0.924579 | |
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| 2016-05-02 19:52:14,590 Node[0] Epoch[143] Resetting Data Iterator | |
| 2016-05-02 19:52:14,590 Node[0] Epoch[143] Time cost=80.370 | |
| 2016-05-02 19:52:14,755 Node[0] Saved checkpoint to "cifar10/resnet-0144.params" | |
| 2016-05-02 19:52:16,650 Node[0] Epoch[143] Validation-accuracy=0.926683 | |
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| 2016-05-02 19:53:37,587 Node[0] Epoch[144] Time cost=80.936 | |
| 2016-05-02 19:53:37,748 Node[0] Saved checkpoint to "cifar10/resnet-0145.params" | |
| 2016-05-02 19:53:39,893 Node[0] Epoch[144] Validation-accuracy=0.924842 | |
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| 2016-05-02 19:55:00,633 Node[0] Epoch[145] Time cost=80.739 | |
| 2016-05-02 19:55:00,794 Node[0] Saved checkpoint to "cifar10/resnet-0146.params" | |
| 2016-05-02 19:55:02,663 Node[0] Epoch[145] Validation-accuracy=0.923377 | |
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| 2016-05-02 19:56:23,086 Node[0] Epoch[146] Time cost=80.423 | |
| 2016-05-02 19:56:23,253 Node[0] Saved checkpoint to "cifar10/resnet-0147.params" | |
| 2016-05-02 19:56:25,166 Node[0] Epoch[146] Validation-accuracy=0.925982 | |
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| 2016-05-02 19:57:45,800 Node[0] Epoch[147] Time cost=80.634 | |
| 2016-05-02 19:57:45,963 Node[0] Saved checkpoint to "cifar10/resnet-0148.params" | |
| 2016-05-02 19:57:47,858 Node[0] Epoch[147] Validation-accuracy=0.924279 | |
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| 2016-05-02 19:59:08,499 Node[0] Epoch[148] Time cost=80.641 | |
| 2016-05-02 19:59:08,665 Node[0] Saved checkpoint to "cifar10/resnet-0149.params" | |
| 2016-05-02 19:59:10,603 Node[0] Epoch[148] Validation-accuracy=0.923778 | |
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| 2016-05-02 20:00:31,109 Node[0] Epoch[149] Time cost=80.505 | |
| 2016-05-02 20:00:31,273 Node[0] Saved checkpoint to "cifar10/resnet-0150.params" | |
| 2016-05-02 20:00:33,155 Node[0] Epoch[149] Validation-accuracy=0.925681 | |
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| 2016-05-02 20:01:53,912 Node[0] Epoch[150] Time cost=80.756 | |
| 2016-05-02 20:01:54,074 Node[0] Saved checkpoint to "cifar10/resnet-0151.params" | |
| 2016-05-02 20:01:55,943 Node[0] Epoch[150] Validation-accuracy=0.923778 | |
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| 2016-05-02 20:03:16,286 Node[0] Epoch[151] Time cost=80.342 | |
| 2016-05-02 20:03:16,453 Node[0] Saved checkpoint to "cifar10/resnet-0152.params" | |
| 2016-05-02 20:03:18,355 Node[0] Epoch[151] Validation-accuracy=0.924379 | |
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| 2016-05-02 20:04:39,046 Node[0] Epoch[152] Time cost=80.691 | |
| 2016-05-02 20:04:39,213 Node[0] Saved checkpoint to "cifar10/resnet-0153.params" | |
| 2016-05-02 20:04:41,257 Node[0] Epoch[152] Validation-accuracy=0.923655 | |
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| 2016-05-02 20:06:01,817 Node[0] Epoch[153] Time cost=80.559 | |
| 2016-05-02 20:06:01,978 Node[0] Saved checkpoint to "cifar10/resnet-0154.params" | |
| 2016-05-02 20:06:03,836 Node[0] Epoch[153] Validation-accuracy=0.923978 | |
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| 2016-05-02 20:07:24,336 Node[0] Epoch[154] Resetting Data Iterator | |
| 2016-05-02 20:07:24,336 Node[0] Epoch[154] Time cost=80.500 | |
| 2016-05-02 20:07:24,495 Node[0] Saved checkpoint to "cifar10/resnet-0155.params" | |
| 2016-05-02 20:07:26,374 Node[0] Epoch[154] Validation-accuracy=0.924079 | |
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| 2016-05-02 20:08:47,136 Node[0] Epoch[155] Resetting Data Iterator | |
| 2016-05-02 20:08:47,136 Node[0] Epoch[155] Time cost=80.762 | |
| 2016-05-02 20:08:47,297 Node[0] Saved checkpoint to "cifar10/resnet-0156.params" | |
| 2016-05-02 20:08:49,212 Node[0] Epoch[155] Validation-accuracy=0.921675 | |
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| 2016-05-02 20:10:09,964 Node[0] Epoch[156] Resetting Data Iterator | |
| 2016-05-02 20:10:09,964 Node[0] Epoch[156] Time cost=80.752 | |
| 2016-05-02 20:10:10,129 Node[0] Saved checkpoint to "cifar10/resnet-0157.params" | |
| 2016-05-02 20:10:12,039 Node[0] Epoch[156] Validation-accuracy=0.923377 | |
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| 2016-05-02 20:11:32,407 Node[0] Epoch[157] Resetting Data Iterator | |
| 2016-05-02 20:11:32,407 Node[0] Epoch[157] Time cost=80.368 | |
| 2016-05-02 20:11:32,571 Node[0] Saved checkpoint to "cifar10/resnet-0158.params" | |
| 2016-05-02 20:11:34,475 Node[0] Epoch[157] Validation-accuracy=0.922075 | |
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| 2016-05-02 20:12:55,060 Node[0] Epoch[158] Resetting Data Iterator | |
| 2016-05-02 20:12:55,061 Node[0] Epoch[158] Time cost=80.585 | |
| 2016-05-02 20:12:55,221 Node[0] Saved checkpoint to "cifar10/resnet-0159.params" | |
| 2016-05-02 20:12:57,115 Node[0] Epoch[158] Validation-accuracy=0.922877 | |
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| 2016-05-02 20:14:17,665 Node[0] Epoch[159] Resetting Data Iterator | |
| 2016-05-02 20:14:17,665 Node[0] Epoch[159] Time cost=80.550 | |
| 2016-05-02 20:14:17,831 Node[0] Saved checkpoint to "cifar10/resnet-0160.params" | |
| 2016-05-02 20:14:19,727 Node[0] Epoch[159] Validation-accuracy=0.925681 | |
| 2016-05-02 20:14:19,728 Node[0] Update[62501]: Change learning rate to 1.00000e-03 | |
| 2016-05-02 20:14:30,010 Node[0] Epoch[160] Batch [50] Speed: 625.70 samples/sec Train-accuracy=0.998906 | |
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| 2016-05-02 20:15:40,422 Node[0] Epoch[160] Resetting Data Iterator | |
| 2016-05-02 20:15:40,422 Node[0] Epoch[160] Time cost=80.695 | |
| 2016-05-02 20:15:40,581 Node[0] Saved checkpoint to "cifar10/resnet-0161.params" | |
| 2016-05-02 20:15:42,636 Node[0] Epoch[160] Validation-accuracy=0.924347 | |
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| 2016-05-02 20:17:03,249 Node[0] Epoch[161] Resetting Data Iterator | |
| 2016-05-02 20:17:03,249 Node[0] Epoch[161] Time cost=80.612 | |
| 2016-05-02 20:17:03,408 Node[0] Saved checkpoint to "cifar10/resnet-0162.params" | |
| 2016-05-02 20:17:05,297 Node[0] Epoch[161] Validation-accuracy=0.924079 | |
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| 2016-05-02 20:18:25,627 Node[0] Epoch[162] Resetting Data Iterator | |
| 2016-05-02 20:18:25,628 Node[0] Epoch[162] Time cost=80.330 | |
| 2016-05-02 20:18:25,789 Node[0] Saved checkpoint to "cifar10/resnet-0163.params" | |
| 2016-05-02 20:18:27,677 Node[0] Epoch[162] Validation-accuracy=0.924379 | |
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| 2016-05-02 20:19:48,320 Node[0] Epoch[163] Resetting Data Iterator | |
| 2016-05-02 20:19:48,321 Node[0] Epoch[163] Time cost=80.643 | |
| 2016-05-02 20:19:48,485 Node[0] Saved checkpoint to "cifar10/resnet-0164.params" | |
| 2016-05-02 20:19:50,366 Node[0] Epoch[163] Validation-accuracy=0.924679 | |
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| 2016-05-02 20:21:10,949 Node[0] Epoch[164] Time cost=80.583 | |
| 2016-05-02 20:21:11,113 Node[0] Saved checkpoint to "cifar10/resnet-0165.params" | |
| 2016-05-02 20:21:13,028 Node[0] Epoch[164] Validation-accuracy=0.924679 | |
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| 2016-05-02 20:22:33,448 Node[0] Epoch[165] Time cost=80.420 | |
| 2016-05-02 20:22:33,608 Node[0] Saved checkpoint to "cifar10/resnet-0166.params" | |
| 2016-05-02 20:22:35,499 Node[0] Epoch[165] Validation-accuracy=0.925381 | |
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| 2016-05-02 20:23:56,063 Node[0] Epoch[166] Time cost=80.564 | |
| 2016-05-02 20:23:56,226 Node[0] Saved checkpoint to "cifar10/resnet-0167.params" | |
| 2016-05-02 20:23:58,112 Node[0] Epoch[166] Validation-accuracy=0.924880 | |
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| 2016-05-02 20:25:18,837 Node[0] Saved checkpoint to "cifar10/resnet-0168.params" | |
| 2016-05-02 20:25:20,708 Node[0] Epoch[167] Validation-accuracy=0.925280 | |
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| 2016-05-02 20:26:41,643 Node[0] Saved checkpoint to "cifar10/resnet-0169.params" | |
| 2016-05-02 20:26:43,752 Node[0] Epoch[168] Validation-accuracy=0.924743 | |
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| 2016-05-02 20:28:04,575 Node[0] Epoch[169] Time cost=80.823 | |
| 2016-05-02 20:28:04,739 Node[0] Saved checkpoint to "cifar10/resnet-0170.params" | |
| 2016-05-02 20:28:06,675 Node[0] Epoch[169] Validation-accuracy=0.925180 | |
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| 2016-05-02 20:29:27,419 Node[0] Epoch[170] Time cost=80.744 | |
| 2016-05-02 20:29:27,587 Node[0] Saved checkpoint to "cifar10/resnet-0171.params" | |
| 2016-05-02 20:29:29,477 Node[0] Epoch[170] Validation-accuracy=0.925080 | |
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| 2016-05-02 20:30:50,161 Node[0] Epoch[171] Time cost=80.684 | |
| 2016-05-02 20:30:50,329 Node[0] Saved checkpoint to "cifar10/resnet-0172.params" | |
| 2016-05-02 20:30:52,220 Node[0] Epoch[171] Validation-accuracy=0.924980 | |
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| 2016-05-02 20:32:12,876 Node[0] Epoch[172] Resetting Data Iterator | |
| 2016-05-02 20:32:12,876 Node[0] Epoch[172] Time cost=80.656 | |
| 2016-05-02 20:32:13,044 Node[0] Saved checkpoint to "cifar10/resnet-0173.params" | |
| 2016-05-02 20:32:14,952 Node[0] Epoch[172] Validation-accuracy=0.925180 | |
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| 2016-05-02 20:33:35,402 Node[0] Epoch[173] Resetting Data Iterator | |
| 2016-05-02 20:33:35,402 Node[0] Epoch[173] Time cost=80.451 | |
| 2016-05-02 20:33:35,562 Node[0] Saved checkpoint to "cifar10/resnet-0174.params" | |
| 2016-05-02 20:33:37,442 Node[0] Epoch[173] Validation-accuracy=0.924780 | |
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| 2016-05-02 20:34:57,926 Node[0] Epoch[174] Resetting Data Iterator | |
| 2016-05-02 20:34:57,926 Node[0] Epoch[174] Time cost=80.485 | |
| 2016-05-02 20:34:58,087 Node[0] Saved checkpoint to "cifar10/resnet-0175.params" | |
| 2016-05-02 20:34:59,976 Node[0] Epoch[174] Validation-accuracy=0.924679 | |
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| 2016-05-02 20:36:20,270 Node[0] Epoch[175] Time cost=80.295 | |
| 2016-05-02 20:36:20,434 Node[0] Saved checkpoint to "cifar10/resnet-0176.params" | |
| 2016-05-02 20:36:22,298 Node[0] Epoch[175] Validation-accuracy=0.925381 | |
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| 2016-05-02 20:37:42,748 Node[0] Epoch[176] Resetting Data Iterator | |
| 2016-05-02 20:37:42,748 Node[0] Epoch[176] Time cost=80.450 | |
| 2016-05-02 20:37:42,913 Node[0] Saved checkpoint to "cifar10/resnet-0177.params" | |
| 2016-05-02 20:37:44,971 Node[0] Epoch[176] Validation-accuracy=0.924941 | |
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| 2016-05-02 20:39:05,653 Node[0] Epoch[177] Time cost=80.682 | |
| 2016-05-02 20:39:05,814 Node[0] Saved checkpoint to "cifar10/resnet-0178.params" | |
| 2016-05-02 20:39:07,698 Node[0] Epoch[177] Validation-accuracy=0.925581 | |
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| 2016-05-02 20:40:28,149 Node[0] Epoch[178] Time cost=80.451 | |
| 2016-05-02 20:40:28,311 Node[0] Saved checkpoint to "cifar10/resnet-0179.params" | |
| 2016-05-02 20:40:30,208 Node[0] Epoch[178] Validation-accuracy=0.925280 | |
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| 2016-05-02 20:41:50,900 Node[0] Epoch[179] Time cost=80.692 | |
| 2016-05-02 20:41:51,061 Node[0] Saved checkpoint to "cifar10/resnet-0180.params" | |
| 2016-05-02 20:41:52,934 Node[0] Epoch[179] Validation-accuracy=0.925781 | |
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| 2016-05-02 20:43:13,672 Node[0] Epoch[180] Time cost=80.738 | |
| 2016-05-02 20:43:13,833 Node[0] Saved checkpoint to "cifar10/resnet-0181.params" | |
| 2016-05-02 20:43:15,732 Node[0] Epoch[180] Validation-accuracy=0.926482 | |
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| 2016-05-02 20:44:36,223 Node[0] Saved checkpoint to "cifar10/resnet-0182.params" | |
| 2016-05-02 20:44:38,109 Node[0] Epoch[181] Validation-accuracy=0.925581 | |
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| 2016-05-02 20:45:59,067 Node[0] Saved checkpoint to "cifar10/resnet-0183.params" | |
| 2016-05-02 20:46:00,973 Node[0] Epoch[182] Validation-accuracy=0.925481 | |
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| 2016-05-02 20:47:22,014 Node[0] Saved checkpoint to "cifar10/resnet-0184.params" | |
| 2016-05-02 20:47:23,893 Node[0] Epoch[183] Validation-accuracy=0.925381 | |
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| 2016-05-02 20:48:45,108 Node[0] Saved checkpoint to "cifar10/resnet-0185.params" | |
| 2016-05-02 20:48:47,185 Node[0] Epoch[184] Validation-accuracy=0.925633 | |
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| 2016-05-02 20:50:08,074 Node[0] Saved checkpoint to "cifar10/resnet-0186.params" | |
| 2016-05-02 20:50:09,976 Node[0] Epoch[185] Validation-accuracy=0.924880 | |
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| 2016-05-02 20:51:30,752 Node[0] Epoch[186] Time cost=80.776 | |
| 2016-05-02 20:51:30,910 Node[0] Saved checkpoint to "cifar10/resnet-0187.params" | |
| 2016-05-02 20:51:32,812 Node[0] Epoch[186] Validation-accuracy=0.924980 | |
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| 2016-05-02 20:52:53,705 Node[0] Epoch[187] Time cost=80.893 | |
| 2016-05-02 20:52:53,870 Node[0] Saved checkpoint to "cifar10/resnet-0188.params" | |
| 2016-05-02 20:52:55,757 Node[0] Epoch[187] Validation-accuracy=0.924780 | |
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| 2016-05-02 20:54:16,595 Node[0] Epoch[188] Time cost=80.837 | |
| 2016-05-02 20:54:16,756 Node[0] Saved checkpoint to "cifar10/resnet-0189.params" | |
| 2016-05-02 20:54:18,613 Node[0] Epoch[188] Validation-accuracy=0.925280 | |
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| 2016-05-02 20:55:39,226 Node[0] Epoch[189] Resetting Data Iterator | |
| 2016-05-02 20:55:39,226 Node[0] Epoch[189] Time cost=80.613 | |
| 2016-05-02 20:55:39,387 Node[0] Saved checkpoint to "cifar10/resnet-0190.params" | |
| 2016-05-02 20:55:41,287 Node[0] Epoch[189] Validation-accuracy=0.925681 | |
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| 2016-05-02 20:57:01,969 Node[0] Epoch[190] Time cost=80.681 | |
| 2016-05-02 20:57:02,133 Node[0] Saved checkpoint to "cifar10/resnet-0191.params" | |
| 2016-05-02 20:57:04,016 Node[0] Epoch[190] Validation-accuracy=0.925481 | |
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| 2016-05-02 20:58:24,231 Node[0] Epoch[191] Time cost=80.215 | |
| 2016-05-02 20:58:24,395 Node[0] Saved checkpoint to "cifar10/resnet-0192.params" | |
| 2016-05-02 20:58:26,256 Node[0] Epoch[191] Validation-accuracy=0.924780 | |
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| 2016-05-02 20:59:46,672 Node[0] Epoch[192] Time cost=80.415 | |
| 2016-05-02 20:59:46,832 Node[0] Saved checkpoint to "cifar10/resnet-0193.params" | |
| 2016-05-02 20:59:48,886 Node[0] Epoch[192] Validation-accuracy=0.926226 | |
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| 2016-05-02 21:01:09,335 Node[0] Epoch[193] Time cost=80.449 | |
| 2016-05-02 21:01:09,496 Node[0] Saved checkpoint to "cifar10/resnet-0194.params" | |
| 2016-05-02 21:01:11,435 Node[0] Epoch[193] Validation-accuracy=0.925881 | |
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| 2016-05-02 21:02:31,796 Node[0] Epoch[194] Time cost=80.361 | |
| 2016-05-02 21:02:31,953 Node[0] Saved checkpoint to "cifar10/resnet-0195.params" | |
| 2016-05-02 21:02:33,828 Node[0] Epoch[194] Validation-accuracy=0.925381 | |
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| 2016-05-02 21:03:54,164 Node[0] Epoch[195] Time cost=80.337 | |
| 2016-05-02 21:03:54,332 Node[0] Saved checkpoint to "cifar10/resnet-0196.params" | |
| 2016-05-02 21:03:56,249 Node[0] Epoch[195] Validation-accuracy=0.925982 | |
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| 2016-05-02 21:05:16,765 Node[0] Epoch[196] Time cost=80.516 | |
| 2016-05-02 21:05:16,931 Node[0] Saved checkpoint to "cifar10/resnet-0197.params" | |
| 2016-05-02 21:05:18,796 Node[0] Epoch[196] Validation-accuracy=0.926382 | |
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| 2016-05-02 21:06:39,128 Node[0] Epoch[197] Resetting Data Iterator | |
| 2016-05-02 21:06:39,128 Node[0] Epoch[197] Time cost=80.332 | |
| 2016-05-02 21:06:39,294 Node[0] Saved checkpoint to "cifar10/resnet-0198.params" | |
| 2016-05-02 21:06:41,213 Node[0] Epoch[197] Validation-accuracy=0.925982 | |
| 2016-05-02 21:06:51,558 Node[0] Epoch[198] Batch [50] Speed: 621.94 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:07:01,792 Node[0] Epoch[198] Batch [100] Speed: 625.42 samples/sec Train-accuracy=1.000000 | |
| 2016-05-02 21:07:12,054 Node[0] Epoch[198] Batch [150] Speed: 623.64 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 21:07:22,369 Node[0] Epoch[198] Batch [200] Speed: 620.46 samples/sec Train-accuracy=1.000000 | |
| 2016-05-02 21:07:32,640 Node[0] Epoch[198] Batch [250] Speed: 623.15 samples/sec Train-accuracy=1.000000 | |
| 2016-05-02 21:07:42,965 Node[0] Epoch[198] Batch [300] Speed: 619.88 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:07:53,209 Node[0] Epoch[198] Batch [350] Speed: 624.75 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:08:01,624 Node[0] Epoch[198] Resetting Data Iterator | |
| 2016-05-02 21:08:01,624 Node[0] Epoch[198] Time cost=80.410 | |
| 2016-05-02 21:08:01,781 Node[0] Saved checkpoint to "cifar10/resnet-0199.params" | |
| 2016-05-02 21:08:03,687 Node[0] Epoch[198] Validation-accuracy=0.925982 | |
| 2016-05-02 21:08:14,071 Node[0] Epoch[199] Batch [50] Speed: 619.61 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:08:24,321 Node[0] Epoch[199] Batch [100] Speed: 624.42 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:08:34,617 Node[0] Epoch[199] Batch [150] Speed: 621.60 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:08:44,868 Node[0] Epoch[199] Batch [200] Speed: 624.32 samples/sec Train-accuracy=0.999687 | |
| 2016-05-02 21:08:55,156 Node[0] Epoch[199] Batch [250] Speed: 622.13 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:09:05,485 Node[0] Epoch[199] Batch [300] Speed: 619.59 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:09:15,792 Node[0] Epoch[199] Batch [350] Speed: 620.97 samples/sec Train-accuracy=0.999844 | |
| 2016-05-02 21:09:24,084 Node[0] Epoch[199] Resetting Data Iterator | |
| 2016-05-02 21:09:24,084 Node[0] Epoch[199] Time cost=80.397 | |
| 2016-05-02 21:09:24,245 Node[0] Saved checkpoint to "cifar10/resnet-0200.params" | |
| 2016-05-02 21:09:26,091 Node[0] Epoch[199] Validation-accuracy=0.925581 | |
| 2016-05-03 03:12:07,964 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:14:03,632 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:14:41,001 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:14:41,385 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 03:15:02,247 Node[0] Epoch[0] Batch [50] Speed: 651.27 samples/sec Train-accuracy=0.109531 | |
| 2016-05-03 03:15:12,380 Node[0] Epoch[0] Batch [100] Speed: 631.65 samples/sec Train-accuracy=0.135625 | |
| 2016-05-03 03:15:22,459 Node[0] Epoch[0] Batch [150] Speed: 635.00 samples/sec Train-accuracy=0.164687 | |
| 2016-05-03 03:15:32,595 Node[0] Epoch[0] Batch [200] Speed: 631.40 samples/sec Train-accuracy=0.212344 | |
| 2016-05-03 03:15:42,796 Node[0] Epoch[0] Batch [250] Speed: 627.42 samples/sec Train-accuracy=0.251094 | |
| 2016-05-03 03:15:52,943 Node[0] Epoch[0] Batch [300] Speed: 630.77 samples/sec Train-accuracy=0.280938 | |
| 2016-05-03 03:17:02,539 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:17:28,686 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:19:01,678 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:19:11,536 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 03:19:11,911 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 03:19:32,962 Node[0] Epoch[0] Batch [50] Speed: 646.82 samples/sec Train-accuracy=0.118906 | |
| 2016-05-03 03:19:43,067 Node[0] Epoch[0] Batch [100] Speed: 633.33 samples/sec Train-accuracy=0.150781 | |
| 2016-05-03 03:19:53,174 Node[0] Epoch[0] Batch [150] Speed: 633.27 samples/sec Train-accuracy=0.208750 | |
| 2016-05-03 03:20:03,286 Node[0] Epoch[0] Batch [200] Speed: 632.92 samples/sec Train-accuracy=0.232813 | |
| 2016-05-03 03:20:13,428 Node[0] Epoch[0] Batch [250] Speed: 631.08 samples/sec Train-accuracy=0.272031 | |
| 2016-05-03 03:20:23,584 Node[0] Epoch[0] Batch [300] Speed: 630.15 samples/sec Train-accuracy=0.302344 | |
| 2016-05-03 03:20:33,741 Node[0] Epoch[0] Batch [350] Speed: 630.12 samples/sec Train-accuracy=0.322813 | |
| 2016-05-03 03:20:42,120 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 03:20:42,121 Node[0] Epoch[0] Time cost=79.376 | |
| 2016-05-03 03:20:42,282 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 03:20:44,281 Node[0] Epoch[0] Validation-accuracy=0.356210 | |
| 2016-05-03 03:20:54,873 Node[0] Epoch[1] Batch [50] Speed: 607.14 samples/sec Train-accuracy=0.362969 | |
| 2016-05-03 03:21:05,356 Node[0] Epoch[1] Batch [100] Speed: 610.51 samples/sec Train-accuracy=0.391094 | |
| 2016-05-03 03:21:15,741 Node[0] Epoch[1] Batch [150] Speed: 616.30 samples/sec Train-accuracy=0.412187 | |
| 2016-05-03 03:21:26,107 Node[0] Epoch[1] Batch [200] Speed: 617.42 samples/sec Train-accuracy=0.409687 | |
| 2016-05-03 03:21:36,487 Node[0] Epoch[1] Batch [250] Speed: 616.60 samples/sec Train-accuracy=0.433594 | |
| 2016-05-03 03:21:46,946 Node[0] Epoch[1] Batch [300] Speed: 611.93 samples/sec Train-accuracy=0.440469 | |
| 2016-05-03 03:21:57,457 Node[0] Epoch[1] Batch [350] Speed: 608.89 samples/sec Train-accuracy=0.466719 | |
| 2016-05-03 03:22:06,005 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 03:22:06,005 Node[0] Epoch[1] Time cost=81.724 | |
| 2016-05-03 03:22:06,169 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 03:22:08,052 Node[0] Epoch[1] Validation-accuracy=0.463442 | |
| 2016-05-03 03:22:18,427 Node[0] Epoch[2] Batch [50] Speed: 620.03 samples/sec Train-accuracy=0.482187 | |
| 2016-05-03 03:22:28,823 Node[0] Epoch[2] Batch [100] Speed: 615.64 samples/sec Train-accuracy=0.507812 | |
| 2016-05-03 03:22:39,251 Node[0] Epoch[2] Batch [150] Speed: 613.75 samples/sec Train-accuracy=0.504219 | |
| 2016-05-03 03:22:49,629 Node[0] Epoch[2] Batch [200] Speed: 616.71 samples/sec Train-accuracy=0.530469 | |
| 2016-05-03 03:23:00,020 Node[0] Epoch[2] Batch [250] Speed: 615.93 samples/sec Train-accuracy=0.545156 | |
| 2016-05-03 03:23:10,422 Node[0] Epoch[2] Batch [300] Speed: 615.27 samples/sec Train-accuracy=0.541250 | |
| 2016-05-03 03:23:20,833 Node[0] Epoch[2] Batch [350] Speed: 614.76 samples/sec Train-accuracy=0.559063 | |
| 2016-05-03 03:23:29,151 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 03:23:29,151 Node[0] Epoch[2] Time cost=81.099 | |
| 2016-05-03 03:23:29,312 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 03:23:31,228 Node[0] Epoch[2] Validation-accuracy=0.551482 | |
| 2016-05-03 03:23:41,723 Node[0] Epoch[3] Batch [50] Speed: 613.05 samples/sec Train-accuracy=0.594531 | |
| 2016-05-03 03:23:52,132 Node[0] Epoch[3] Batch [100] Speed: 614.86 samples/sec Train-accuracy=0.592969 | |
| 2016-05-03 03:24:02,549 Node[0] Epoch[3] Batch [150] Speed: 614.43 samples/sec Train-accuracy=0.615156 | |
| 2016-05-03 03:24:12,943 Node[0] Epoch[3] Batch [200] Speed: 615.75 samples/sec Train-accuracy=0.612969 | |
| 2016-05-03 03:24:23,388 Node[0] Epoch[3] Batch [250] Speed: 612.72 samples/sec Train-accuracy=0.626406 | |
| 2016-05-03 03:24:33,783 Node[0] Epoch[3] Batch [300] Speed: 615.70 samples/sec Train-accuracy=0.636875 | |
| 2016-05-03 03:24:44,187 Node[0] Epoch[3] Batch [350] Speed: 615.18 samples/sec Train-accuracy=0.645781 | |
| 2016-05-03 03:24:52,709 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 03:24:52,709 Node[0] Epoch[3] Time cost=81.481 | |
| 2016-05-03 03:24:52,872 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 03:24:54,806 Node[0] Epoch[3] Validation-accuracy=0.616587 | |
| 2016-05-03 03:25:05,249 Node[0] Epoch[4] Batch [50] Speed: 616.04 samples/sec Train-accuracy=0.656250 | |
| 2016-05-03 03:25:15,704 Node[0] Epoch[4] Batch [100] Speed: 612.24 samples/sec Train-accuracy=0.661875 | |
| 2016-05-03 03:25:26,195 Node[0] Epoch[4] Batch [150] Speed: 610.05 samples/sec Train-accuracy=0.678281 | |
| 2016-05-03 03:25:36,636 Node[0] Epoch[4] Batch [200] Speed: 612.96 samples/sec Train-accuracy=0.688906 | |
| 2016-05-03 03:25:47,005 Node[0] Epoch[4] Batch [250] Speed: 617.27 samples/sec Train-accuracy=0.689063 | |
| 2016-05-03 03:25:57,374 Node[0] Epoch[4] Batch [300] Speed: 617.19 samples/sec Train-accuracy=0.689688 | |
| 2016-05-03 03:26:07,780 Node[0] Epoch[4] Batch [350] Speed: 615.07 samples/sec Train-accuracy=0.697656 | |
| 2016-05-03 03:26:16,283 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 03:26:16,283 Node[0] Epoch[4] Time cost=81.477 | |
| 2016-05-03 03:26:16,449 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 03:26:18,326 Node[0] Epoch[4] Validation-accuracy=0.685096 | |
| 2016-05-03 03:26:28,791 Node[0] Epoch[5] Batch [50] Speed: 614.88 samples/sec Train-accuracy=0.713281 | |
| 2016-05-03 03:26:39,176 Node[0] Epoch[5] Batch [100] Speed: 616.29 samples/sec Train-accuracy=0.717656 | |
| 2016-05-03 03:26:49,573 Node[0] Epoch[5] Batch [150] Speed: 615.52 samples/sec Train-accuracy=0.732656 | |
| 2016-05-03 03:26:59,964 Node[0] Epoch[5] Batch [200] Speed: 615.99 samples/sec Train-accuracy=0.735469 | |
| 2016-05-03 03:27:10,365 Node[0] Epoch[5] Batch [250] Speed: 615.31 samples/sec Train-accuracy=0.733125 | |
| 2016-05-03 03:27:20,800 Node[0] Epoch[5] Batch [300] Speed: 613.34 samples/sec Train-accuracy=0.741719 | |
| 2016-05-03 03:27:31,275 Node[0] Epoch[5] Batch [350] Speed: 611.00 samples/sec Train-accuracy=0.743906 | |
| 2016-05-03 03:27:39,608 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 03:27:39,608 Node[0] Epoch[5] Time cost=81.283 | |
| 2016-05-03 03:27:39,776 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 03:27:41,679 Node[0] Epoch[5] Validation-accuracy=0.730369 | |
| 2016-05-03 03:27:52,059 Node[0] Epoch[6] Batch [50] Speed: 619.84 samples/sec Train-accuracy=0.749844 | |
| 2016-05-03 03:28:02,505 Node[0] Epoch[6] Batch [100] Speed: 612.68 samples/sec Train-accuracy=0.757656 | |
| 2016-05-03 03:28:12,876 Node[0] Epoch[6] Batch [150] Speed: 617.12 samples/sec Train-accuracy=0.770312 | |
| 2016-05-03 03:28:23,284 Node[0] Epoch[6] Batch [200] Speed: 614.91 samples/sec Train-accuracy=0.768437 | |
| 2016-05-03 03:28:33,694 Node[0] Epoch[6] Batch [250] Speed: 614.84 samples/sec Train-accuracy=0.767344 | |
| 2016-05-03 03:28:44,090 Node[0] Epoch[6] Batch [300] Speed: 615.63 samples/sec Train-accuracy=0.776875 | |
| 2016-05-03 03:28:54,465 Node[0] Epoch[6] Batch [350] Speed: 616.91 samples/sec Train-accuracy=0.784531 | |
| 2016-05-03 03:29:03,006 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 03:29:03,007 Node[0] Epoch[6] Time cost=81.327 | |
| 2016-05-03 03:29:03,174 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 03:29:05,074 Node[0] Epoch[6] Validation-accuracy=0.755709 | |
| 2016-05-03 03:29:15,479 Node[0] Epoch[7] Batch [50] Speed: 618.35 samples/sec Train-accuracy=0.776250 | |
| 2016-05-03 03:29:25,886 Node[0] Epoch[7] Batch [100] Speed: 614.93 samples/sec Train-accuracy=0.785781 | |
| 2016-05-03 03:29:36,323 Node[0] Epoch[7] Batch [150] Speed: 613.27 samples/sec Train-accuracy=0.801250 | |
| 2016-05-03 03:29:46,724 Node[0] Epoch[7] Batch [200] Speed: 615.34 samples/sec Train-accuracy=0.800469 | |
| 2016-05-03 03:29:57,119 Node[0] Epoch[7] Batch [250] Speed: 615.67 samples/sec Train-accuracy=0.797969 | |
| 2016-05-03 03:30:07,562 Node[0] Epoch[7] Batch [300] Speed: 612.86 samples/sec Train-accuracy=0.795781 | |
| 2016-05-03 03:30:17,962 Node[0] Epoch[7] Batch [350] Speed: 615.43 samples/sec Train-accuracy=0.804063 | |
| 2016-05-03 03:30:26,260 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 03:30:26,260 Node[0] Epoch[7] Time cost=81.186 | |
| 2016-05-03 03:30:26,435 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 03:30:28,352 Node[0] Epoch[7] Validation-accuracy=0.758313 | |
| 2016-05-03 03:30:38,790 Node[0] Epoch[8] Batch [50] Speed: 616.51 samples/sec Train-accuracy=0.803750 | |
| 2016-05-03 03:30:49,223 Node[0] Epoch[8] Batch [100] Speed: 613.47 samples/sec Train-accuracy=0.810469 | |
| 2016-05-03 03:30:59,646 Node[0] Epoch[8] Batch [150] Speed: 614.02 samples/sec Train-accuracy=0.816719 | |
| 2016-05-03 03:31:10,034 Node[0] Epoch[8] Batch [200] Speed: 616.09 samples/sec Train-accuracy=0.817344 | |
| 2016-05-03 03:31:20,469 Node[0] Epoch[8] Batch [250] Speed: 613.36 samples/sec Train-accuracy=0.808906 | |
| 2016-05-03 03:31:30,877 Node[0] Epoch[8] Batch [300] Speed: 614.91 samples/sec Train-accuracy=0.816875 | |
| 2016-05-03 03:31:41,287 Node[0] Epoch[8] Batch [350] Speed: 614.82 samples/sec Train-accuracy=0.809844 | |
| 2016-05-03 03:31:49,791 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 03:31:49,792 Node[0] Epoch[8] Time cost=81.439 | |
| 2016-05-03 03:31:49,955 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 03:31:52,107 Node[0] Epoch[8] Validation-accuracy=0.792919 | |
| 2016-05-03 03:32:02,565 Node[0] Epoch[9] Batch [50] Speed: 615.20 samples/sec Train-accuracy=0.817344 | |
| 2016-05-03 03:32:12,965 Node[0] Epoch[9] Batch [100] Speed: 615.39 samples/sec Train-accuracy=0.820000 | |
| 2016-05-03 03:32:23,382 Node[0] Epoch[9] Batch [150] Speed: 614.40 samples/sec Train-accuracy=0.832187 | |
| 2016-05-03 03:32:33,778 Node[0] Epoch[9] Batch [200] Speed: 615.65 samples/sec Train-accuracy=0.822812 | |
| 2016-05-03 03:32:44,171 Node[0] Epoch[9] Batch [250] Speed: 615.78 samples/sec Train-accuracy=0.816250 | |
| 2016-05-03 03:32:54,627 Node[0] Epoch[9] Batch [300] Speed: 612.11 samples/sec Train-accuracy=0.830937 | |
| 2016-05-03 03:33:05,046 Node[0] Epoch[9] Batch [350] Speed: 614.31 samples/sec Train-accuracy=0.830625 | |
| 2016-05-03 03:33:13,580 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 03:33:13,580 Node[0] Epoch[9] Time cost=81.473 | |
| 2016-05-03 03:33:13,750 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 03:33:15,643 Node[0] Epoch[9] Validation-accuracy=0.797576 | |
| 2016-05-03 03:33:26,096 Node[0] Epoch[10] Batch [50] Speed: 615.49 samples/sec Train-accuracy=0.831406 | |
| 2016-05-03 03:33:36,497 Node[0] Epoch[10] Batch [100] Speed: 615.34 samples/sec Train-accuracy=0.831719 | |
| 2016-05-03 03:33:46,871 Node[0] Epoch[10] Batch [150] Speed: 616.96 samples/sec Train-accuracy=0.835781 | |
| 2016-05-03 03:33:57,235 Node[0] Epoch[10] Batch [200] Speed: 617.53 samples/sec Train-accuracy=0.835313 | |
| 2016-05-03 03:34:07,627 Node[0] Epoch[10] Batch [250] Speed: 615.91 samples/sec Train-accuracy=0.830625 | |
| 2016-05-03 03:34:18,051 Node[0] Epoch[10] Batch [300] Speed: 613.97 samples/sec Train-accuracy=0.842812 | |
| 2016-05-03 03:34:28,452 Node[0] Epoch[10] Batch [350] Speed: 615.33 samples/sec Train-accuracy=0.831875 | |
| 2016-05-03 03:34:36,777 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 03:34:36,778 Node[0] Epoch[10] Time cost=81.134 | |
| 2016-05-03 03:34:36,939 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 03:34:38,861 Node[0] Epoch[10] Validation-accuracy=0.807893 | |
| 2016-05-03 03:34:49,347 Node[0] Epoch[11] Batch [50] Speed: 613.56 samples/sec Train-accuracy=0.842969 | |
| 2016-05-03 03:34:59,738 Node[0] Epoch[11] Batch [100] Speed: 615.94 samples/sec Train-accuracy=0.836250 | |
| 2016-05-03 03:35:10,123 Node[0] Epoch[11] Batch [150] Speed: 616.29 samples/sec Train-accuracy=0.849844 | |
| 2016-05-03 03:35:20,524 Node[0] Epoch[11] Batch [200] Speed: 615.33 samples/sec Train-accuracy=0.847500 | |
| 2016-05-03 03:35:30,938 Node[0] Epoch[11] Batch [250] Speed: 614.60 samples/sec Train-accuracy=0.839844 | |
| 2016-05-03 03:35:41,312 Node[0] Epoch[11] Batch [300] Speed: 616.92 samples/sec Train-accuracy=0.848437 | |
| 2016-05-03 03:35:51,693 Node[0] Epoch[11] Batch [350] Speed: 616.56 samples/sec Train-accuracy=0.848281 | |
| 2016-05-03 03:36:00,234 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 03:36:00,234 Node[0] Epoch[11] Time cost=81.373 | |
| 2016-05-03 03:36:00,399 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 03:36:02,363 Node[0] Epoch[11] Validation-accuracy=0.805088 | |
| 2016-05-03 03:36:12,814 Node[0] Epoch[12] Batch [50] Speed: 615.62 samples/sec Train-accuracy=0.854531 | |
| 2016-05-03 03:36:23,242 Node[0] Epoch[12] Batch [100] Speed: 613.75 samples/sec Train-accuracy=0.855938 | |
| 2016-05-03 03:36:33,648 Node[0] Epoch[12] Batch [150] Speed: 615.07 samples/sec Train-accuracy=0.857656 | |
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| 2016-05-03 03:37:04,929 Node[0] Epoch[12] Batch [300] Speed: 612.32 samples/sec Train-accuracy=0.858594 | |
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| 2016-05-03 03:37:23,914 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 03:37:23,914 Node[0] Epoch[12] Time cost=81.551 | |
| 2016-05-03 03:37:24,075 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 03:37:25,998 Node[0] Epoch[12] Validation-accuracy=0.800280 | |
| 2016-05-03 03:37:36,495 Node[0] Epoch[13] Batch [50] Speed: 612.86 samples/sec Train-accuracy=0.853125 | |
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| 2016-05-03 03:38:28,615 Node[0] Epoch[13] Batch [300] Speed: 613.50 samples/sec Train-accuracy=0.868906 | |
| 2016-05-03 03:38:39,082 Node[0] Epoch[13] Batch [350] Speed: 611.48 samples/sec Train-accuracy=0.863594 | |
| 2016-05-03 03:38:47,402 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 03:38:47,402 Node[0] Epoch[13] Time cost=81.404 | |
| 2016-05-03 03:38:47,567 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 03:38:49,447 Node[0] Epoch[13] Validation-accuracy=0.826322 | |
| 2016-05-03 03:38:59,987 Node[0] Epoch[14] Batch [50] Speed: 610.40 samples/sec Train-accuracy=0.863750 | |
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| 2016-05-03 03:40:02,453 Node[0] Epoch[14] Batch [350] Speed: 613.72 samples/sec Train-accuracy=0.864688 | |
| 2016-05-03 03:40:10,969 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 03:40:10,970 Node[0] Epoch[14] Time cost=81.522 | |
| 2016-05-03 03:40:11,133 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 03:40:13,111 Node[0] Epoch[14] Validation-accuracy=0.832031 | |
| 2016-05-03 03:40:23,605 Node[0] Epoch[15] Batch [50] Speed: 613.10 samples/sec Train-accuracy=0.867656 | |
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| 2016-05-03 03:41:26,156 Node[0] Epoch[15] Batch [350] Speed: 614.21 samples/sec Train-accuracy=0.873281 | |
| 2016-05-03 03:41:34,468 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 03:41:34,468 Node[0] Epoch[15] Time cost=81.357 | |
| 2016-05-03 03:41:34,635 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 03:41:36,528 Node[0] Epoch[15] Validation-accuracy=0.834235 | |
| 2016-05-03 03:41:47,096 Node[0] Epoch[16] Batch [50] Speed: 608.83 samples/sec Train-accuracy=0.875625 | |
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| 2016-05-03 03:42:49,620 Node[0] Epoch[16] Batch [350] Speed: 617.02 samples/sec Train-accuracy=0.874375 | |
| 2016-05-03 03:42:58,128 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 03:42:58,129 Node[0] Epoch[16] Time cost=81.600 | |
| 2016-05-03 03:42:58,291 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 03:43:00,414 Node[0] Epoch[16] Validation-accuracy=0.830696 | |
| 2016-05-03 03:43:10,948 Node[0] Epoch[17] Batch [50] Speed: 610.76 samples/sec Train-accuracy=0.877812 | |
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| 2016-05-03 03:44:22,113 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 03:44:22,113 Node[0] Epoch[17] Time cost=81.700 | |
| 2016-05-03 03:44:22,276 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 03:44:24,201 Node[0] Epoch[17] Validation-accuracy=0.834736 | |
| 2016-05-03 03:44:34,600 Node[0] Epoch[18] Batch [50] Speed: 618.63 samples/sec Train-accuracy=0.881875 | |
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| 2016-05-03 03:45:37,019 Node[0] Epoch[18] Batch [350] Speed: 615.42 samples/sec Train-accuracy=0.887188 | |
| 2016-05-03 03:45:45,348 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 03:45:45,349 Node[0] Epoch[18] Time cost=81.148 | |
| 2016-05-03 03:45:45,516 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 03:45:47,415 Node[0] Epoch[18] Validation-accuracy=0.847857 | |
| 2016-05-03 03:45:57,925 Node[0] Epoch[19] Batch [50] Speed: 612.29 samples/sec Train-accuracy=0.891563 | |
| 2016-05-03 03:46:08,327 Node[0] Epoch[19] Batch [100] Speed: 615.30 samples/sec Train-accuracy=0.901406 | |
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| 2016-05-03 03:46:49,879 Node[0] Epoch[19] Batch [300] Speed: 614.54 samples/sec Train-accuracy=0.889687 | |
| 2016-05-03 03:47:00,278 Node[0] Epoch[19] Batch [350] Speed: 615.42 samples/sec Train-accuracy=0.887031 | |
| 2016-05-03 03:47:08,805 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 03:47:08,805 Node[0] Epoch[19] Time cost=81.390 | |
| 2016-05-03 03:47:08,965 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 03:47:10,860 Node[0] Epoch[19] Validation-accuracy=0.856270 | |
| 2016-05-03 03:47:21,389 Node[0] Epoch[20] Batch [50] Speed: 611.05 samples/sec Train-accuracy=0.893594 | |
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| 2016-05-03 03:48:02,949 Node[0] Epoch[20] Batch [250] Speed: 615.18 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 03:48:13,337 Node[0] Epoch[20] Batch [300] Speed: 616.10 samples/sec Train-accuracy=0.896406 | |
| 2016-05-03 03:48:23,748 Node[0] Epoch[20] Batch [350] Speed: 614.78 samples/sec Train-accuracy=0.892813 | |
| 2016-05-03 03:48:32,339 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 03:48:32,339 Node[0] Epoch[20] Time cost=81.479 | |
| 2016-05-03 03:48:32,499 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 03:48:34,402 Node[0] Epoch[20] Validation-accuracy=0.855369 | |
| 2016-05-03 03:48:44,884 Node[0] Epoch[21] Batch [50] Speed: 613.79 samples/sec Train-accuracy=0.894531 | |
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| 2016-05-03 03:49:16,056 Node[0] Epoch[21] Batch [200] Speed: 617.58 samples/sec Train-accuracy=0.897656 | |
| 2016-05-03 03:49:26,523 Node[0] Epoch[21] Batch [250] Speed: 611.47 samples/sec Train-accuracy=0.897031 | |
| 2016-05-03 03:49:36,970 Node[0] Epoch[21] Batch [300] Speed: 612.62 samples/sec Train-accuracy=0.900312 | |
| 2016-05-03 03:49:47,362 Node[0] Epoch[21] Batch [350] Speed: 615.91 samples/sec Train-accuracy=0.898281 | |
| 2016-05-03 03:49:55,702 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-03 03:49:55,703 Node[0] Epoch[21] Time cost=81.300 | |
| 2016-05-03 03:49:55,866 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-03 03:49:57,790 Node[0] Epoch[21] Validation-accuracy=0.855970 | |
| 2016-05-03 03:50:08,289 Node[0] Epoch[22] Batch [50] Speed: 612.77 samples/sec Train-accuracy=0.901875 | |
| 2016-05-03 03:50:18,713 Node[0] Epoch[22] Batch [100] Speed: 614.00 samples/sec Train-accuracy=0.905312 | |
| 2016-05-03 03:50:29,083 Node[0] Epoch[22] Batch [150] Speed: 617.17 samples/sec Train-accuracy=0.897500 | |
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| 2016-05-03 03:51:00,282 Node[0] Epoch[22] Batch [300] Speed: 613.77 samples/sec Train-accuracy=0.900156 | |
| 2016-05-03 03:51:10,673 Node[0] Epoch[22] Batch [350] Speed: 615.96 samples/sec Train-accuracy=0.901406 | |
| 2016-05-03 03:51:19,181 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-03 03:51:19,181 Node[0] Epoch[22] Time cost=81.391 | |
| 2016-05-03 03:51:19,349 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-03 03:51:21,270 Node[0] Epoch[22] Validation-accuracy=0.837139 | |
| 2016-05-03 03:51:31,793 Node[0] Epoch[23] Batch [50] Speed: 611.37 samples/sec Train-accuracy=0.902031 | |
| 2016-05-03 03:51:42,193 Node[0] Epoch[23] Batch [100] Speed: 615.44 samples/sec Train-accuracy=0.899687 | |
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| 2016-05-03 03:52:02,965 Node[0] Epoch[23] Batch [200] Speed: 615.84 samples/sec Train-accuracy=0.901563 | |
| 2016-05-03 03:52:13,345 Node[0] Epoch[23] Batch [250] Speed: 616.55 samples/sec Train-accuracy=0.896406 | |
| 2016-05-03 03:52:23,766 Node[0] Epoch[23] Batch [300] Speed: 614.22 samples/sec Train-accuracy=0.911094 | |
| 2016-05-03 03:52:34,186 Node[0] Epoch[23] Batch [350] Speed: 614.21 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 03:52:42,518 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-03 03:52:42,518 Node[0] Epoch[23] Time cost=81.248 | |
| 2016-05-03 03:52:42,686 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-03 03:52:44,592 Node[0] Epoch[23] Validation-accuracy=0.857372 | |
| 2016-05-03 03:52:55,130 Node[0] Epoch[24] Batch [50] Speed: 610.57 samples/sec Train-accuracy=0.901094 | |
| 2016-05-03 03:53:05,580 Node[0] Epoch[24] Batch [100] Speed: 612.44 samples/sec Train-accuracy=0.905312 | |
| 2016-05-03 03:53:15,982 Node[0] Epoch[24] Batch [150] Speed: 615.29 samples/sec Train-accuracy=0.905469 | |
| 2016-05-03 03:53:26,396 Node[0] Epoch[24] Batch [200] Speed: 614.54 samples/sec Train-accuracy=0.907813 | |
| 2016-05-03 03:53:36,814 Node[0] Epoch[24] Batch [250] Speed: 614.34 samples/sec Train-accuracy=0.901563 | |
| 2016-05-03 03:53:47,203 Node[0] Epoch[24] Batch [300] Speed: 616.04 samples/sec Train-accuracy=0.916562 | |
| 2016-05-03 03:53:57,557 Node[0] Epoch[24] Batch [350] Speed: 618.16 samples/sec Train-accuracy=0.900156 | |
| 2016-05-03 03:54:06,063 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-03 03:54:06,063 Node[0] Epoch[24] Time cost=81.470 | |
| 2016-05-03 03:54:06,225 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-03 03:54:08,324 Node[0] Epoch[24] Validation-accuracy=0.862540 | |
| 2016-05-03 03:54:18,822 Node[0] Epoch[25] Batch [50] Speed: 612.89 samples/sec Train-accuracy=0.896875 | |
| 2016-05-03 03:54:29,305 Node[0] Epoch[25] Batch [100] Speed: 610.49 samples/sec Train-accuracy=0.904687 | |
| 2016-05-03 03:54:39,681 Node[0] Epoch[25] Batch [150] Speed: 616.88 samples/sec Train-accuracy=0.907656 | |
| 2016-05-03 03:54:50,053 Node[0] Epoch[25] Batch [200] Speed: 617.04 samples/sec Train-accuracy=0.908906 | |
| 2016-05-03 03:55:00,486 Node[0] Epoch[25] Batch [250] Speed: 613.47 samples/sec Train-accuracy=0.907188 | |
| 2016-05-03 03:55:10,900 Node[0] Epoch[25] Batch [300] Speed: 614.58 samples/sec Train-accuracy=0.913906 | |
| 2016-05-03 03:55:21,268 Node[0] Epoch[25] Batch [350] Speed: 617.29 samples/sec Train-accuracy=0.907500 | |
| 2016-05-03 03:55:29,759 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-03 03:55:29,760 Node[0] Epoch[25] Time cost=81.436 | |
| 2016-05-03 03:55:29,927 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-03 03:55:31,850 Node[0] Epoch[25] Validation-accuracy=0.860076 | |
| 2016-05-03 03:55:42,347 Node[0] Epoch[26] Batch [50] Speed: 612.83 samples/sec Train-accuracy=0.910000 | |
| 2016-05-03 03:55:52,761 Node[0] Epoch[26] Batch [100] Speed: 614.61 samples/sec Train-accuracy=0.902031 | |
| 2016-05-03 03:56:03,142 Node[0] Epoch[26] Batch [150] Speed: 616.53 samples/sec Train-accuracy=0.907656 | |
| 2016-05-03 03:56:13,525 Node[0] Epoch[26] Batch [200] Speed: 616.41 samples/sec Train-accuracy=0.910781 | |
| 2016-05-03 03:56:23,994 Node[0] Epoch[26] Batch [250] Speed: 611.33 samples/sec Train-accuracy=0.912813 | |
| 2016-05-03 03:56:34,437 Node[0] Epoch[26] Batch [300] Speed: 612.86 samples/sec Train-accuracy=0.912031 | |
| 2016-05-03 03:56:44,980 Node[0] Epoch[26] Batch [350] Speed: 607.04 samples/sec Train-accuracy=0.909375 | |
| 2016-05-03 03:56:53,319 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-03 03:56:53,319 Node[0] Epoch[26] Time cost=81.469 | |
| 2016-05-03 03:56:53,482 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-03 03:56:55,364 Node[0] Epoch[26] Validation-accuracy=0.858273 | |
| 2016-05-03 03:57:05,784 Node[0] Epoch[27] Batch [50] Speed: 617.41 samples/sec Train-accuracy=0.902188 | |
| 2016-05-03 03:57:16,208 Node[0] Epoch[27] Batch [100] Speed: 614.00 samples/sec Train-accuracy=0.909219 | |
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| 2016-05-03 03:57:57,817 Node[0] Epoch[27] Batch [300] Speed: 615.68 samples/sec Train-accuracy=0.906719 | |
| 2016-05-03 03:58:08,221 Node[0] Epoch[27] Batch [350] Speed: 615.18 samples/sec Train-accuracy=0.912344 | |
| 2016-05-03 03:58:16,781 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-03 03:58:16,782 Node[0] Epoch[27] Time cost=81.417 | |
| 2016-05-03 03:58:16,945 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-03 03:58:18,875 Node[0] Epoch[27] Validation-accuracy=0.857071 | |
| 2016-05-03 03:58:29,357 Node[0] Epoch[28] Batch [50] Speed: 613.76 samples/sec Train-accuracy=0.915625 | |
| 2016-05-03 03:58:39,786 Node[0] Epoch[28] Batch [100] Speed: 613.70 samples/sec Train-accuracy=0.908594 | |
| 2016-05-03 03:58:50,171 Node[0] Epoch[28] Batch [150] Speed: 616.31 samples/sec Train-accuracy=0.910000 | |
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| 2016-05-03 03:59:21,397 Node[0] Epoch[28] Batch [300] Speed: 615.95 samples/sec Train-accuracy=0.918750 | |
| 2016-05-03 03:59:31,869 Node[0] Epoch[28] Batch [350] Speed: 611.19 samples/sec Train-accuracy=0.916719 | |
| 2016-05-03 03:59:40,447 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-03 03:59:40,448 Node[0] Epoch[28] Time cost=81.572 | |
| 2016-05-03 03:59:40,609 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-03 03:59:42,556 Node[0] Epoch[28] Validation-accuracy=0.849860 | |
| 2016-05-03 03:59:53,055 Node[0] Epoch[29] Batch [50] Speed: 612.71 samples/sec Train-accuracy=0.918750 | |
| 2016-05-03 04:00:03,480 Node[0] Epoch[29] Batch [100] Speed: 613.95 samples/sec Train-accuracy=0.918750 | |
| 2016-05-03 04:00:13,835 Node[0] Epoch[29] Batch [150] Speed: 618.09 samples/sec Train-accuracy=0.918750 | |
| 2016-05-03 04:00:24,243 Node[0] Epoch[29] Batch [200] Speed: 614.93 samples/sec Train-accuracy=0.915937 | |
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| 2016-05-03 04:00:45,029 Node[0] Epoch[29] Batch [300] Speed: 617.17 samples/sec Train-accuracy=0.914062 | |
| 2016-05-03 04:00:55,451 Node[0] Epoch[29] Batch [350] Speed: 614.05 samples/sec Train-accuracy=0.915156 | |
| 2016-05-03 04:01:03,734 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-03 04:01:03,734 Node[0] Epoch[29] Time cost=81.179 | |
| 2016-05-03 04:01:03,895 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-03 04:01:05,829 Node[0] Epoch[29] Validation-accuracy=0.867087 | |
| 2016-05-03 04:01:16,359 Node[0] Epoch[30] Batch [50] Speed: 611.00 samples/sec Train-accuracy=0.915156 | |
| 2016-05-03 04:01:26,820 Node[0] Epoch[30] Batch [100] Speed: 611.77 samples/sec Train-accuracy=0.916406 | |
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| 2016-05-03 04:02:18,822 Node[0] Epoch[30] Batch [350] Speed: 618.07 samples/sec Train-accuracy=0.908281 | |
| 2016-05-03 04:02:27,354 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-03 04:02:27,354 Node[0] Epoch[30] Time cost=81.525 | |
| 2016-05-03 04:02:27,518 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-03 04:02:29,453 Node[0] Epoch[30] Validation-accuracy=0.851863 | |
| 2016-05-03 04:02:39,949 Node[0] Epoch[31] Batch [50] Speed: 612.96 samples/sec Train-accuracy=0.918594 | |
| 2016-05-03 04:02:50,377 Node[0] Epoch[31] Batch [100] Speed: 613.77 samples/sec Train-accuracy=0.917500 | |
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| 2016-05-03 04:03:31,975 Node[0] Epoch[31] Batch [300] Speed: 611.65 samples/sec Train-accuracy=0.931406 | |
| 2016-05-03 04:03:42,397 Node[0] Epoch[31] Batch [350] Speed: 614.14 samples/sec Train-accuracy=0.911094 | |
| 2016-05-03 04:03:50,717 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-03 04:03:50,718 Node[0] Epoch[31] Time cost=81.264 | |
| 2016-05-03 04:03:50,885 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-03 04:03:52,797 Node[0] Epoch[31] Validation-accuracy=0.868890 | |
| 2016-05-03 04:04:03,273 Node[0] Epoch[32] Batch [50] Speed: 614.23 samples/sec Train-accuracy=0.915781 | |
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| 2016-05-03 04:04:55,189 Node[0] Epoch[32] Batch [300] Speed: 615.05 samples/sec Train-accuracy=0.925000 | |
| 2016-05-03 04:05:05,558 Node[0] Epoch[32] Batch [350] Speed: 617.24 samples/sec Train-accuracy=0.918594 | |
| 2016-05-03 04:05:14,159 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-03 04:05:14,159 Node[0] Epoch[32] Time cost=81.362 | |
| 2016-05-03 04:05:14,325 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-03 04:05:16,405 Node[0] Epoch[32] Validation-accuracy=0.864616 | |
| 2016-05-03 04:05:26,838 Node[0] Epoch[33] Batch [50] Speed: 616.59 samples/sec Train-accuracy=0.925625 | |
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| 2016-05-03 04:06:29,290 Node[0] Epoch[33] Batch [350] Speed: 616.08 samples/sec Train-accuracy=0.923438 | |
| 2016-05-03 04:06:37,782 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-03 04:06:37,782 Node[0] Epoch[33] Time cost=81.377 | |
| 2016-05-03 04:06:37,944 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-03 04:06:39,892 Node[0] Epoch[33] Validation-accuracy=0.872796 | |
| 2016-05-03 04:06:50,439 Node[0] Epoch[34] Batch [50] Speed: 610.03 samples/sec Train-accuracy=0.927969 | |
| 2016-05-03 04:07:00,876 Node[0] Epoch[34] Batch [100] Speed: 613.19 samples/sec Train-accuracy=0.925156 | |
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| 2016-05-03 04:07:42,532 Node[0] Epoch[34] Batch [300] Speed: 613.27 samples/sec Train-accuracy=0.929375 | |
| 2016-05-03 04:07:52,914 Node[0] Epoch[34] Batch [350] Speed: 616.47 samples/sec Train-accuracy=0.919687 | |
| 2016-05-03 04:08:01,231 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-03 04:08:01,231 Node[0] Epoch[34] Time cost=81.339 | |
| 2016-05-03 04:08:01,392 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-03 04:08:03,319 Node[0] Epoch[34] Validation-accuracy=0.871294 | |
| 2016-05-03 04:08:13,899 Node[0] Epoch[35] Batch [50] Speed: 608.12 samples/sec Train-accuracy=0.920625 | |
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| 2016-05-03 04:08:34,734 Node[0] Epoch[35] Batch [150] Speed: 616.07 samples/sec Train-accuracy=0.920781 | |
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| 2016-05-03 04:09:16,290 Node[0] Epoch[35] Batch [350] Speed: 614.45 samples/sec Train-accuracy=0.922031 | |
| 2016-05-03 04:09:24,794 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-03 04:09:24,794 Node[0] Epoch[35] Time cost=81.475 | |
| 2016-05-03 04:09:24,956 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-03 04:09:26,900 Node[0] Epoch[35] Validation-accuracy=0.862780 | |
| 2016-05-03 04:09:37,466 Node[0] Epoch[36] Batch [50] Speed: 608.84 samples/sec Train-accuracy=0.929531 | |
| 2016-05-03 04:09:47,833 Node[0] Epoch[36] Batch [100] Speed: 617.34 samples/sec Train-accuracy=0.928594 | |
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| 2016-05-03 04:10:19,016 Node[0] Epoch[36] Batch [250] Speed: 617.06 samples/sec Train-accuracy=0.927188 | |
| 2016-05-03 04:10:29,378 Node[0] Epoch[36] Batch [300] Speed: 617.71 samples/sec Train-accuracy=0.925625 | |
| 2016-05-03 04:10:39,844 Node[0] Epoch[36] Batch [350] Speed: 611.53 samples/sec Train-accuracy=0.922500 | |
| 2016-05-03 04:10:48,437 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-03 04:10:48,437 Node[0] Epoch[36] Time cost=81.537 | |
| 2016-05-03 04:10:48,599 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-03 04:10:50,507 Node[0] Epoch[36] Validation-accuracy=0.867288 | |
| 2016-05-03 04:11:00,994 Node[0] Epoch[37] Batch [50] Speed: 613.47 samples/sec Train-accuracy=0.928438 | |
| 2016-05-03 04:11:11,434 Node[0] Epoch[37] Batch [100] Speed: 613.05 samples/sec Train-accuracy=0.927031 | |
| 2016-05-03 04:11:21,807 Node[0] Epoch[37] Batch [150] Speed: 617.03 samples/sec Train-accuracy=0.922656 | |
| 2016-05-03 04:11:32,202 Node[0] Epoch[37] Batch [200] Speed: 615.65 samples/sec Train-accuracy=0.931406 | |
| 2016-05-03 04:11:42,627 Node[0] Epoch[37] Batch [250] Speed: 613.95 samples/sec Train-accuracy=0.928125 | |
| 2016-05-03 04:11:53,000 Node[0] Epoch[37] Batch [300] Speed: 617.02 samples/sec Train-accuracy=0.930937 | |
| 2016-05-03 04:12:03,407 Node[0] Epoch[37] Batch [350] Speed: 614.95 samples/sec Train-accuracy=0.924531 | |
| 2016-05-03 04:12:11,758 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-03 04:12:11,758 Node[0] Epoch[37] Time cost=81.251 | |
| 2016-05-03 04:12:11,926 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-03 04:12:13,840 Node[0] Epoch[37] Validation-accuracy=0.864083 | |
| 2016-05-03 04:12:24,322 Node[0] Epoch[38] Batch [50] Speed: 613.76 samples/sec Train-accuracy=0.925156 | |
| 2016-05-03 04:12:34,715 Node[0] Epoch[38] Batch [100] Speed: 615.83 samples/sec Train-accuracy=0.923125 | |
| 2016-05-03 04:12:45,141 Node[0] Epoch[38] Batch [150] Speed: 613.86 samples/sec Train-accuracy=0.925469 | |
| 2016-05-03 04:12:55,560 Node[0] Epoch[38] Batch [200] Speed: 614.29 samples/sec Train-accuracy=0.931875 | |
| 2016-05-03 04:13:05,941 Node[0] Epoch[38] Batch [250] Speed: 616.51 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 04:13:16,351 Node[0] Epoch[38] Batch [300] Speed: 614.81 samples/sec Train-accuracy=0.932031 | |
| 2016-05-03 04:13:26,773 Node[0] Epoch[38] Batch [350] Speed: 614.10 samples/sec Train-accuracy=0.925156 | |
| 2016-05-03 04:13:35,261 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-03 04:13:35,261 Node[0] Epoch[38] Time cost=81.421 | |
| 2016-05-03 04:13:35,426 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-03 04:13:37,366 Node[0] Epoch[38] Validation-accuracy=0.869491 | |
| 2016-05-03 04:13:47,925 Node[0] Epoch[39] Batch [50] Speed: 609.32 samples/sec Train-accuracy=0.928906 | |
| 2016-05-03 04:13:58,314 Node[0] Epoch[39] Batch [100] Speed: 616.07 samples/sec Train-accuracy=0.932500 | |
| 2016-05-03 04:14:08,714 Node[0] Epoch[39] Batch [150] Speed: 615.36 samples/sec Train-accuracy=0.931875 | |
| 2016-05-03 04:14:19,106 Node[0] Epoch[39] Batch [200] Speed: 615.87 samples/sec Train-accuracy=0.931719 | |
| 2016-05-03 04:14:29,528 Node[0] Epoch[39] Batch [250] Speed: 614.10 samples/sec Train-accuracy=0.920781 | |
| 2016-05-03 04:14:39,969 Node[0] Epoch[39] Batch [300] Speed: 612.99 samples/sec Train-accuracy=0.933125 | |
| 2016-05-03 04:14:50,370 Node[0] Epoch[39] Batch [350] Speed: 615.35 samples/sec Train-accuracy=0.931250 | |
| 2016-05-03 04:14:58,752 Node[0] Epoch[39] Resetting Data Iterator | |
| 2016-05-03 04:14:58,753 Node[0] Epoch[39] Time cost=81.386 | |
| 2016-05-03 04:14:58,918 Node[0] Saved checkpoint to "cifar10/resnet-0040.params" | |
| 2016-05-03 04:15:00,818 Node[0] Epoch[39] Validation-accuracy=0.857472 | |
| 2016-05-03 04:15:11,280 Node[0] Epoch[40] Batch [50] Speed: 615.06 samples/sec Train-accuracy=0.930469 | |
| 2016-05-03 04:15:21,665 Node[0] Epoch[40] Batch [100] Speed: 616.28 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 04:15:32,113 Node[0] Epoch[40] Batch [150] Speed: 612.59 samples/sec Train-accuracy=0.933750 | |
| 2016-05-03 04:15:42,514 Node[0] Epoch[40] Batch [200] Speed: 615.31 samples/sec Train-accuracy=0.935937 | |
| 2016-05-03 04:15:52,901 Node[0] Epoch[40] Batch [250] Speed: 616.20 samples/sec Train-accuracy=0.930156 | |
| 2016-05-03 04:16:03,354 Node[0] Epoch[40] Batch [300] Speed: 612.24 samples/sec Train-accuracy=0.931094 | |
| 2016-05-03 04:16:13,874 Node[0] Epoch[40] Batch [350] Speed: 608.42 samples/sec Train-accuracy=0.928281 | |
| 2016-05-03 04:16:22,465 Node[0] Epoch[40] Resetting Data Iterator | |
| 2016-05-03 04:16:22,465 Node[0] Epoch[40] Time cost=81.647 | |
| 2016-05-03 04:16:22,636 Node[0] Saved checkpoint to "cifar10/resnet-0041.params" | |
| 2016-05-03 04:16:24,689 Node[0] Epoch[40] Validation-accuracy=0.870352 | |
| 2016-05-03 04:16:35,097 Node[0] Epoch[41] Batch [50] Speed: 618.15 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 04:16:45,489 Node[0] Epoch[41] Batch [100] Speed: 615.86 samples/sec Train-accuracy=0.932656 | |
| 2016-05-03 04:16:55,886 Node[0] Epoch[41] Batch [150] Speed: 615.54 samples/sec Train-accuracy=0.937500 | |
| 2016-05-03 04:17:06,341 Node[0] Epoch[41] Batch [200] Speed: 612.16 samples/sec Train-accuracy=0.935937 | |
| 2016-05-03 04:17:16,837 Node[0] Epoch[41] Batch [250] Speed: 609.80 samples/sec Train-accuracy=0.933438 | |
| 2016-05-03 04:17:27,315 Node[0] Epoch[41] Batch [300] Speed: 610.84 samples/sec Train-accuracy=0.931094 | |
| 2016-05-03 04:17:37,790 Node[0] Epoch[41] Batch [350] Speed: 611.00 samples/sec Train-accuracy=0.930312 | |
| 2016-05-03 04:17:46,303 Node[0] Epoch[41] Resetting Data Iterator | |
| 2016-05-03 04:17:46,304 Node[0] Epoch[41] Time cost=81.615 | |
| 2016-05-03 04:17:46,469 Node[0] Saved checkpoint to "cifar10/resnet-0042.params" | |
| 2016-05-03 04:17:48,356 Node[0] Epoch[41] Validation-accuracy=0.875300 | |
| 2016-05-03 04:17:58,859 Node[0] Epoch[42] Batch [50] Speed: 612.54 samples/sec Train-accuracy=0.934688 | |
| 2016-05-03 04:18:09,320 Node[0] Epoch[42] Batch [100] Speed: 611.82 samples/sec Train-accuracy=0.929688 | |
| 2016-05-03 04:18:19,673 Node[0] Epoch[42] Batch [150] Speed: 618.20 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 04:18:30,059 Node[0] Epoch[42] Batch [200] Speed: 616.20 samples/sec Train-accuracy=0.931875 | |
| 2016-05-03 04:18:40,499 Node[0] Epoch[42] Batch [250] Speed: 613.07 samples/sec Train-accuracy=0.932656 | |
| 2016-05-03 04:18:50,997 Node[0] Epoch[42] Batch [300] Speed: 609.66 samples/sec Train-accuracy=0.935312 | |
| 2016-05-03 04:19:01,522 Node[0] Epoch[42] Batch [350] Speed: 608.08 samples/sec Train-accuracy=0.928125 | |
| 2016-05-03 04:19:09,894 Node[0] Epoch[42] Resetting Data Iterator | |
| 2016-05-03 04:19:09,895 Node[0] Epoch[42] Time cost=81.539 | |
| 2016-05-03 04:19:10,060 Node[0] Saved checkpoint to "cifar10/resnet-0043.params" | |
| 2016-05-03 04:19:11,963 Node[0] Epoch[42] Validation-accuracy=0.870092 | |
| 2016-05-03 04:19:22,408 Node[0] Epoch[43] Batch [50] Speed: 615.89 samples/sec Train-accuracy=0.930781 | |
| 2016-05-03 04:19:32,875 Node[0] Epoch[43] Batch [100] Speed: 611.46 samples/sec Train-accuracy=0.932969 | |
| 2016-05-03 04:19:43,283 Node[0] Epoch[43] Batch [150] Speed: 614.91 samples/sec Train-accuracy=0.937344 | |
| 2016-05-03 04:19:53,671 Node[0] Epoch[43] Batch [200] Speed: 616.11 samples/sec Train-accuracy=0.931094 | |
| 2016-05-03 04:20:04,081 Node[0] Epoch[43] Batch [250] Speed: 614.80 samples/sec Train-accuracy=0.938281 | |
| 2016-05-03 04:20:14,540 Node[0] Epoch[43] Batch [300] Speed: 611.90 samples/sec Train-accuracy=0.937344 | |
| 2016-05-03 04:20:25,000 Node[0] Epoch[43] Batch [350] Speed: 611.90 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 04:20:33,620 Node[0] Epoch[43] Resetting Data Iterator | |
| 2016-05-03 04:20:33,620 Node[0] Epoch[43] Time cost=81.657 | |
| 2016-05-03 04:20:33,786 Node[0] Saved checkpoint to "cifar10/resnet-0044.params" | |
| 2016-05-03 04:20:35,713 Node[0] Epoch[43] Validation-accuracy=0.878105 | |
| 2016-05-03 04:20:46,182 Node[0] Epoch[44] Batch [50] Speed: 614.52 samples/sec Train-accuracy=0.937031 | |
| 2016-05-03 04:20:56,691 Node[0] Epoch[44] Batch [100] Speed: 609.01 samples/sec Train-accuracy=0.936250 | |
| 2016-05-03 04:21:07,187 Node[0] Epoch[44] Batch [150] Speed: 609.77 samples/sec Train-accuracy=0.936562 | |
| 2016-05-03 04:21:17,559 Node[0] Epoch[44] Batch [200] Speed: 617.06 samples/sec Train-accuracy=0.933281 | |
| 2016-05-03 04:21:27,944 Node[0] Epoch[44] Batch [250] Speed: 616.28 samples/sec Train-accuracy=0.929531 | |
| 2016-05-03 04:21:38,330 Node[0] Epoch[44] Batch [300] Speed: 616.26 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 04:21:48,819 Node[0] Epoch[44] Batch [350] Speed: 610.20 samples/sec Train-accuracy=0.932187 | |
| 2016-05-03 04:21:57,411 Node[0] Epoch[44] Resetting Data Iterator | |
| 2016-05-03 04:21:57,411 Node[0] Epoch[44] Time cost=81.698 | |
| 2016-05-03 04:21:57,579 Node[0] Saved checkpoint to "cifar10/resnet-0045.params" | |
| 2016-05-03 04:21:59,498 Node[0] Epoch[44] Validation-accuracy=0.860377 | |
| 2016-05-03 04:22:10,038 Node[0] Epoch[45] Batch [50] Speed: 610.39 samples/sec Train-accuracy=0.940469 | |
| 2016-05-03 04:22:20,447 Node[0] Epoch[45] Batch [100] Speed: 614.90 samples/sec Train-accuracy=0.934531 | |
| 2016-05-03 04:22:30,882 Node[0] Epoch[45] Batch [150] Speed: 613.32 samples/sec Train-accuracy=0.936562 | |
| 2016-05-03 04:22:41,274 Node[0] Epoch[45] Batch [200] Speed: 615.91 samples/sec Train-accuracy=0.932344 | |
| 2016-05-03 04:22:51,680 Node[0] Epoch[45] Batch [250] Speed: 615.04 samples/sec Train-accuracy=0.933281 | |
| 2016-05-03 04:23:02,100 Node[0] Epoch[45] Batch [300] Speed: 614.20 samples/sec Train-accuracy=0.938125 | |
| 2016-05-03 04:23:12,593 Node[0] Epoch[45] Batch [350] Speed: 609.97 samples/sec Train-accuracy=0.930937 | |
| 2016-05-03 04:23:20,945 Node[0] Epoch[45] Resetting Data Iterator | |
| 2016-05-03 04:23:20,945 Node[0] Epoch[45] Time cost=81.446 | |
| 2016-05-03 04:23:21,108 Node[0] Saved checkpoint to "cifar10/resnet-0046.params" | |
| 2016-05-03 04:23:23,033 Node[0] Epoch[45] Validation-accuracy=0.868890 | |
| 2016-05-03 04:23:33,586 Node[0] Epoch[46] Batch [50] Speed: 609.68 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 04:23:43,994 Node[0] Epoch[46] Batch [100] Speed: 614.94 samples/sec Train-accuracy=0.933125 | |
| 2016-05-03 04:23:54,377 Node[0] Epoch[46] Batch [150] Speed: 616.44 samples/sec Train-accuracy=0.937344 | |
| 2016-05-03 04:24:04,823 Node[0] Epoch[46] Batch [200] Speed: 612.66 samples/sec Train-accuracy=0.938594 | |
| 2016-05-03 04:24:15,238 Node[0] Epoch[46] Batch [250] Speed: 614.52 samples/sec Train-accuracy=0.939219 | |
| 2016-05-03 04:24:25,738 Node[0] Epoch[46] Batch [300] Speed: 609.55 samples/sec Train-accuracy=0.942187 | |
| 2016-05-03 04:24:36,201 Node[0] Epoch[46] Batch [350] Speed: 611.68 samples/sec Train-accuracy=0.941875 | |
| 2016-05-03 04:24:44,757 Node[0] Epoch[46] Resetting Data Iterator | |
| 2016-05-03 04:24:44,757 Node[0] Epoch[46] Time cost=81.724 | |
| 2016-05-03 04:24:44,924 Node[0] Saved checkpoint to "cifar10/resnet-0047.params" | |
| 2016-05-03 04:24:46,800 Node[0] Epoch[46] Validation-accuracy=0.867388 | |
| 2016-05-03 04:24:57,241 Node[0] Epoch[47] Batch [50] Speed: 616.17 samples/sec Train-accuracy=0.935625 | |
| 2016-05-03 04:25:07,754 Node[0] Epoch[47] Batch [100] Speed: 608.80 samples/sec Train-accuracy=0.936719 | |
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| 2016-05-03 04:25:49,342 Node[0] Epoch[47] Batch [300] Speed: 615.38 samples/sec Train-accuracy=0.937656 | |
| 2016-05-03 04:25:59,823 Node[0] Epoch[47] Batch [350] Speed: 610.63 samples/sec Train-accuracy=0.937813 | |
| 2016-05-03 04:26:08,218 Node[0] Epoch[47] Resetting Data Iterator | |
| 2016-05-03 04:26:08,219 Node[0] Epoch[47] Time cost=81.419 | |
| 2016-05-03 04:26:08,381 Node[0] Saved checkpoint to "cifar10/resnet-0048.params" | |
| 2016-05-03 04:26:10,295 Node[0] Epoch[47] Validation-accuracy=0.858674 | |
| 2016-05-03 04:26:20,757 Node[0] Epoch[48] Batch [50] Speed: 614.94 samples/sec Train-accuracy=0.936094 | |
| 2016-05-03 04:26:31,252 Node[0] Epoch[48] Batch [100] Speed: 609.81 samples/sec Train-accuracy=0.942344 | |
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| 2016-05-03 04:27:02,543 Node[0] Epoch[48] Batch [250] Speed: 611.21 samples/sec Train-accuracy=0.930312 | |
| 2016-05-03 04:27:13,009 Node[0] Epoch[48] Batch [300] Speed: 611.55 samples/sec Train-accuracy=0.942344 | |
| 2016-05-03 04:27:23,528 Node[0] Epoch[48] Batch [350] Speed: 608.45 samples/sec Train-accuracy=0.935469 | |
| 2016-05-03 04:27:32,087 Node[0] Epoch[48] Resetting Data Iterator | |
| 2016-05-03 04:27:32,087 Node[0] Epoch[48] Time cost=81.792 | |
| 2016-05-03 04:27:32,249 Node[0] Saved checkpoint to "cifar10/resnet-0049.params" | |
| 2016-05-03 04:27:34,360 Node[0] Epoch[48] Validation-accuracy=0.876582 | |
| 2016-05-03 04:27:44,834 Node[0] Epoch[49] Batch [50] Speed: 614.19 samples/sec Train-accuracy=0.939688 | |
| 2016-05-03 04:27:55,225 Node[0] Epoch[49] Batch [100] Speed: 615.93 samples/sec Train-accuracy=0.947344 | |
| 2016-05-03 04:28:05,591 Node[0] Epoch[49] Batch [150] Speed: 617.45 samples/sec Train-accuracy=0.943281 | |
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| 2016-05-03 04:28:36,948 Node[0] Epoch[49] Batch [300] Speed: 609.86 samples/sec Train-accuracy=0.935312 | |
| 2016-05-03 04:28:47,415 Node[0] Epoch[49] Batch [350] Speed: 611.44 samples/sec Train-accuracy=0.941562 | |
| 2016-05-03 04:28:56,026 Node[0] Epoch[49] Resetting Data Iterator | |
| 2016-05-03 04:28:56,027 Node[0] Epoch[49] Time cost=81.667 | |
| 2016-05-03 04:28:56,191 Node[0] Saved checkpoint to "cifar10/resnet-0050.params" | |
| 2016-05-03 04:28:58,102 Node[0] Epoch[49] Validation-accuracy=0.857973 | |
| 2016-05-03 04:29:08,592 Node[0] Epoch[50] Batch [50] Speed: 613.31 samples/sec Train-accuracy=0.939063 | |
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| 2016-05-03 04:30:11,269 Node[0] Epoch[50] Batch [350] Speed: 610.19 samples/sec Train-accuracy=0.940469 | |
| 2016-05-03 04:30:19,649 Node[0] Epoch[50] Resetting Data Iterator | |
| 2016-05-03 04:30:19,649 Node[0] Epoch[50] Time cost=81.546 | |
| 2016-05-03 04:30:19,810 Node[0] Saved checkpoint to "cifar10/resnet-0051.params" | |
| 2016-05-03 04:30:21,730 Node[0] Epoch[50] Validation-accuracy=0.870693 | |
| 2016-05-03 04:30:32,193 Node[0] Epoch[51] Batch [50] Speed: 614.92 samples/sec Train-accuracy=0.933750 | |
| 2016-05-03 04:30:42,659 Node[0] Epoch[51] Batch [100] Speed: 611.53 samples/sec Train-accuracy=0.940937 | |
| 2016-05-03 04:30:53,082 Node[0] Epoch[51] Batch [150] Speed: 614.04 samples/sec Train-accuracy=0.940469 | |
| 2016-05-03 04:31:03,462 Node[0] Epoch[51] Batch [200] Speed: 616.56 samples/sec Train-accuracy=0.937187 | |
| 2016-05-03 04:31:13,907 Node[0] Epoch[51] Batch [250] Speed: 612.79 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 04:31:24,407 Node[0] Epoch[51] Batch [300] Speed: 609.54 samples/sec Train-accuracy=0.941406 | |
| 2016-05-03 04:31:34,882 Node[0] Epoch[51] Batch [350] Speed: 610.96 samples/sec Train-accuracy=0.946719 | |
| 2016-05-03 04:31:43,473 Node[0] Epoch[51] Resetting Data Iterator | |
| 2016-05-03 04:31:43,473 Node[0] Epoch[51] Time cost=81.743 | |
| 2016-05-03 04:31:43,640 Node[0] Saved checkpoint to "cifar10/resnet-0052.params" | |
| 2016-05-03 04:31:45,540 Node[0] Epoch[51] Validation-accuracy=0.881611 | |
| 2016-05-03 04:31:55,997 Node[0] Epoch[52] Batch [50] Speed: 615.19 samples/sec Train-accuracy=0.943594 | |
| 2016-05-03 04:32:06,542 Node[0] Epoch[52] Batch [100] Speed: 606.97 samples/sec Train-accuracy=0.941562 | |
| 2016-05-03 04:32:17,087 Node[0] Epoch[52] Batch [150] Speed: 606.91 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 04:32:27,543 Node[0] Epoch[52] Batch [200] Speed: 612.11 samples/sec Train-accuracy=0.937500 | |
| 2016-05-03 04:32:37,917 Node[0] Epoch[52] Batch [250] Speed: 616.96 samples/sec Train-accuracy=0.939375 | |
| 2016-05-03 04:32:48,332 Node[0] Epoch[52] Batch [300] Speed: 614.54 samples/sec Train-accuracy=0.939844 | |
| 2016-05-03 04:32:58,739 Node[0] Epoch[52] Batch [350] Speed: 614.96 samples/sec Train-accuracy=0.937656 | |
| 2016-05-03 04:33:07,348 Node[0] Epoch[52] Resetting Data Iterator | |
| 2016-05-03 04:33:07,348 Node[0] Epoch[52] Time cost=81.808 | |
| 2016-05-03 04:33:07,514 Node[0] Saved checkpoint to "cifar10/resnet-0053.params" | |
| 2016-05-03 04:33:09,464 Node[0] Epoch[52] Validation-accuracy=0.882011 | |
| 2016-05-03 04:33:19,983 Node[0] Epoch[53] Batch [50] Speed: 611.61 samples/sec Train-accuracy=0.945156 | |
| 2016-05-03 04:33:30,498 Node[0] Epoch[53] Batch [100] Speed: 608.68 samples/sec Train-accuracy=0.935312 | |
| 2016-05-03 04:33:40,974 Node[0] Epoch[53] Batch [150] Speed: 610.97 samples/sec Train-accuracy=0.939219 | |
| 2016-05-03 04:33:51,458 Node[0] Epoch[53] Batch [200] Speed: 610.47 samples/sec Train-accuracy=0.945469 | |
| 2016-05-03 04:34:01,975 Node[0] Epoch[53] Batch [250] Speed: 608.54 samples/sec Train-accuracy=0.939063 | |
| 2016-05-03 04:34:12,414 Node[0] Epoch[53] Batch [300] Speed: 613.13 samples/sec Train-accuracy=0.941562 | |
| 2016-05-03 04:34:22,824 Node[0] Epoch[53] Batch [350] Speed: 614.81 samples/sec Train-accuracy=0.939063 | |
| 2016-05-03 04:34:31,161 Node[0] Epoch[53] Resetting Data Iterator | |
| 2016-05-03 04:34:31,162 Node[0] Epoch[53] Time cost=81.698 | |
| 2016-05-03 04:34:31,326 Node[0] Saved checkpoint to "cifar10/resnet-0054.params" | |
| 2016-05-03 04:34:33,221 Node[0] Epoch[53] Validation-accuracy=0.874199 | |
| 2016-05-03 04:34:43,768 Node[0] Epoch[54] Batch [50] Speed: 609.99 samples/sec Train-accuracy=0.942500 | |
| 2016-05-03 04:34:54,247 Node[0] Epoch[54] Batch [100] Speed: 610.79 samples/sec Train-accuracy=0.942344 | |
| 2016-05-03 04:35:04,717 Node[0] Epoch[54] Batch [150] Speed: 611.27 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 04:35:15,095 Node[0] Epoch[54] Batch [200] Speed: 616.70 samples/sec Train-accuracy=0.937187 | |
| 2016-05-03 04:35:25,491 Node[0] Epoch[54] Batch [250] Speed: 615.65 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 04:35:35,897 Node[0] Epoch[54] Batch [300] Speed: 615.08 samples/sec Train-accuracy=0.943906 | |
| 2016-05-03 04:35:46,369 Node[0] Epoch[54] Batch [350] Speed: 611.15 samples/sec Train-accuracy=0.939219 | |
| 2016-05-03 04:35:54,941 Node[0] Epoch[54] Resetting Data Iterator | |
| 2016-05-03 04:35:54,941 Node[0] Epoch[54] Time cost=81.719 | |
| 2016-05-03 04:35:55,101 Node[0] Saved checkpoint to "cifar10/resnet-0055.params" | |
| 2016-05-03 04:35:57,040 Node[0] Epoch[54] Validation-accuracy=0.876502 | |
| 2016-05-03 04:36:07,541 Node[0] Epoch[55] Batch [50] Speed: 612.72 samples/sec Train-accuracy=0.942500 | |
| 2016-05-03 04:36:18,057 Node[0] Epoch[55] Batch [100] Speed: 608.62 samples/sec Train-accuracy=0.943125 | |
| 2016-05-03 04:36:28,465 Node[0] Epoch[55] Batch [150] Speed: 614.90 samples/sec Train-accuracy=0.945469 | |
| 2016-05-03 04:36:38,903 Node[0] Epoch[55] Batch [200] Speed: 613.15 samples/sec Train-accuracy=0.939375 | |
| 2016-05-03 04:36:49,417 Node[0] Epoch[55] Batch [250] Speed: 608.75 samples/sec Train-accuracy=0.940625 | |
| 2016-05-03 04:36:59,899 Node[0] Epoch[55] Batch [300] Speed: 610.60 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 04:37:10,431 Node[0] Epoch[55] Batch [350] Speed: 607.68 samples/sec Train-accuracy=0.942344 | |
| 2016-05-03 04:37:18,807 Node[0] Epoch[55] Resetting Data Iterator | |
| 2016-05-03 04:37:18,807 Node[0] Epoch[55] Time cost=81.766 | |
| 2016-05-03 04:37:18,969 Node[0] Saved checkpoint to "cifar10/resnet-0056.params" | |
| 2016-05-03 04:37:20,848 Node[0] Epoch[55] Validation-accuracy=0.877204 | |
| 2016-05-03 04:37:31,309 Node[0] Epoch[56] Batch [50] Speed: 615.09 samples/sec Train-accuracy=0.941094 | |
| 2016-05-03 04:37:41,825 Node[0] Epoch[56] Batch [100] Speed: 608.58 samples/sec Train-accuracy=0.943125 | |
| 2016-05-03 04:37:52,281 Node[0] Epoch[56] Batch [150] Speed: 612.13 samples/sec Train-accuracy=0.939688 | |
| 2016-05-03 04:38:02,705 Node[0] Epoch[56] Batch [200] Speed: 613.96 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 04:38:13,141 Node[0] Epoch[56] Batch [250] Speed: 613.29 samples/sec Train-accuracy=0.945781 | |
| 2016-05-03 04:38:23,615 Node[0] Epoch[56] Batch [300] Speed: 611.07 samples/sec Train-accuracy=0.944375 | |
| 2016-05-03 04:38:34,096 Node[0] Epoch[56] Batch [350] Speed: 610.64 samples/sec Train-accuracy=0.941406 | |
| 2016-05-03 04:38:42,646 Node[0] Epoch[56] Resetting Data Iterator | |
| 2016-05-03 04:38:42,647 Node[0] Epoch[56] Time cost=81.799 | |
| 2016-05-03 04:38:42,809 Node[0] Saved checkpoint to "cifar10/resnet-0057.params" | |
| 2016-05-03 04:38:44,946 Node[0] Epoch[56] Validation-accuracy=0.880736 | |
| 2016-05-03 04:38:55,496 Node[0] Epoch[57] Batch [50] Speed: 609.82 samples/sec Train-accuracy=0.938750 | |
| 2016-05-03 04:39:05,890 Node[0] Epoch[57] Batch [100] Speed: 615.74 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 04:39:16,270 Node[0] Epoch[57] Batch [150] Speed: 616.59 samples/sec Train-accuracy=0.946875 | |
| 2016-05-03 04:39:26,737 Node[0] Epoch[57] Batch [200] Speed: 611.51 samples/sec Train-accuracy=0.942500 | |
| 2016-05-03 04:39:37,214 Node[0] Epoch[57] Batch [250] Speed: 610.84 samples/sec Train-accuracy=0.939063 | |
| 2016-05-03 04:39:47,704 Node[0] Epoch[57] Batch [300] Speed: 610.14 samples/sec Train-accuracy=0.941875 | |
| 2016-05-03 04:39:58,206 Node[0] Epoch[57] Batch [350] Speed: 609.44 samples/sec Train-accuracy=0.945781 | |
| 2016-05-03 04:40:06,794 Node[0] Epoch[57] Resetting Data Iterator | |
| 2016-05-03 04:40:06,794 Node[0] Epoch[57] Time cost=81.849 | |
| 2016-05-03 04:40:06,957 Node[0] Saved checkpoint to "cifar10/resnet-0058.params" | |
| 2016-05-03 04:40:08,864 Node[0] Epoch[57] Validation-accuracy=0.870593 | |
| 2016-05-03 04:40:19,389 Node[0] Epoch[58] Batch [50] Speed: 611.31 samples/sec Train-accuracy=0.945000 | |
| 2016-05-03 04:40:29,820 Node[0] Epoch[58] Batch [100] Speed: 613.54 samples/sec Train-accuracy=0.944375 | |
| 2016-05-03 04:40:40,258 Node[0] Epoch[58] Batch [150] Speed: 613.16 samples/sec Train-accuracy=0.941094 | |
| 2016-05-03 04:40:50,664 Node[0] Epoch[58] Batch [200] Speed: 615.05 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 04:41:01,162 Node[0] Epoch[58] Batch [250] Speed: 609.70 samples/sec Train-accuracy=0.947500 | |
| 2016-05-03 04:41:11,659 Node[0] Epoch[58] Batch [300] Speed: 609.67 samples/sec Train-accuracy=0.943281 | |
| 2016-05-03 04:41:22,119 Node[0] Epoch[58] Batch [350] Speed: 611.88 samples/sec Train-accuracy=0.941250 | |
| 2016-05-03 04:41:30,501 Node[0] Epoch[58] Resetting Data Iterator | |
| 2016-05-03 04:41:30,501 Node[0] Epoch[58] Time cost=81.637 | |
| 2016-05-03 04:41:30,669 Node[0] Saved checkpoint to "cifar10/resnet-0059.params" | |
| 2016-05-03 04:41:32,595 Node[0] Epoch[58] Validation-accuracy=0.870693 | |
| 2016-05-03 04:41:43,070 Node[0] Epoch[59] Batch [50] Speed: 614.14 samples/sec Train-accuracy=0.941406 | |
| 2016-05-03 04:41:53,483 Node[0] Epoch[59] Batch [100] Speed: 614.65 samples/sec Train-accuracy=0.946094 | |
| 2016-05-03 04:42:03,911 Node[0] Epoch[59] Batch [150] Speed: 613.71 samples/sec Train-accuracy=0.945312 | |
| 2016-05-03 04:42:14,335 Node[0] Epoch[59] Batch [200] Speed: 613.99 samples/sec Train-accuracy=0.946719 | |
| 2016-05-03 04:42:24,854 Node[0] Epoch[59] Batch [250] Speed: 608.47 samples/sec Train-accuracy=0.937031 | |
| 2016-05-03 04:42:35,341 Node[0] Epoch[59] Batch [300] Speed: 610.30 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 04:42:45,783 Node[0] Epoch[59] Batch [350] Speed: 612.92 samples/sec Train-accuracy=0.945000 | |
| 2016-05-03 04:42:54,359 Node[0] Epoch[59] Resetting Data Iterator | |
| 2016-05-03 04:42:54,359 Node[0] Epoch[59] Time cost=81.764 | |
| 2016-05-03 04:42:54,526 Node[0] Saved checkpoint to "cifar10/resnet-0060.params" | |
| 2016-05-03 04:42:56,437 Node[0] Epoch[59] Validation-accuracy=0.872796 | |
| 2016-05-03 04:43:06,922 Node[0] Epoch[60] Batch [50] Speed: 613.62 samples/sec Train-accuracy=0.945937 | |
| 2016-05-03 04:43:17,358 Node[0] Epoch[60] Batch [100] Speed: 613.29 samples/sec Train-accuracy=0.942656 | |
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| 2016-05-03 04:43:38,136 Node[0] Epoch[60] Batch [200] Speed: 614.13 samples/sec Train-accuracy=0.941562 | |
| 2016-05-03 04:43:48,600 Node[0] Epoch[60] Batch [250] Speed: 611.62 samples/sec Train-accuracy=0.945312 | |
| 2016-05-03 04:43:59,080 Node[0] Epoch[60] Batch [300] Speed: 610.69 samples/sec Train-accuracy=0.947500 | |
| 2016-05-03 04:44:09,567 Node[0] Epoch[60] Batch [350] Speed: 610.31 samples/sec Train-accuracy=0.939375 | |
| 2016-05-03 04:44:18,130 Node[0] Epoch[60] Resetting Data Iterator | |
| 2016-05-03 04:44:18,130 Node[0] Epoch[60] Time cost=81.693 | |
| 2016-05-03 04:44:18,291 Node[0] Saved checkpoint to "cifar10/resnet-0061.params" | |
| 2016-05-03 04:44:20,187 Node[0] Epoch[60] Validation-accuracy=0.878405 | |
| 2016-05-03 04:44:30,651 Node[0] Epoch[61] Batch [50] Speed: 614.81 samples/sec Train-accuracy=0.946562 | |
| 2016-05-03 04:44:41,094 Node[0] Epoch[61] Batch [100] Speed: 612.86 samples/sec Train-accuracy=0.940469 | |
| 2016-05-03 04:44:51,508 Node[0] Epoch[61] Batch [150] Speed: 614.60 samples/sec Train-accuracy=0.945156 | |
| 2016-05-03 04:45:01,947 Node[0] Epoch[61] Batch [200] Speed: 613.07 samples/sec Train-accuracy=0.946094 | |
| 2016-05-03 04:45:12,403 Node[0] Epoch[61] Batch [250] Speed: 612.13 samples/sec Train-accuracy=0.942344 | |
| 2016-05-03 04:45:22,865 Node[0] Epoch[61] Batch [300] Speed: 611.76 samples/sec Train-accuracy=0.947031 | |
| 2016-05-03 04:45:33,336 Node[0] Epoch[61] Batch [350] Speed: 611.19 samples/sec Train-accuracy=0.947500 | |
| 2016-05-03 04:45:41,699 Node[0] Epoch[61] Resetting Data Iterator | |
| 2016-05-03 04:45:41,699 Node[0] Epoch[61] Time cost=81.512 | |
| 2016-05-03 04:45:41,864 Node[0] Saved checkpoint to "cifar10/resnet-0062.params" | |
| 2016-05-03 04:45:43,791 Node[0] Epoch[61] Validation-accuracy=0.872296 | |
| 2016-05-03 04:45:54,277 Node[0] Epoch[62] Batch [50] Speed: 613.46 samples/sec Train-accuracy=0.946719 | |
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| 2016-05-03 04:46:15,103 Node[0] Epoch[62] Batch [150] Speed: 615.15 samples/sec Train-accuracy=0.946250 | |
| 2016-05-03 04:46:25,542 Node[0] Epoch[62] Batch [200] Speed: 613.07 samples/sec Train-accuracy=0.944688 | |
| 2016-05-03 04:46:36,047 Node[0] Epoch[62] Batch [250] Speed: 609.25 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 04:46:46,568 Node[0] Epoch[62] Batch [300] Speed: 608.34 samples/sec Train-accuracy=0.945625 | |
| 2016-05-03 04:46:57,030 Node[0] Epoch[62] Batch [350] Speed: 611.76 samples/sec Train-accuracy=0.948750 | |
| 2016-05-03 04:47:05,590 Node[0] Epoch[62] Resetting Data Iterator | |
| 2016-05-03 04:47:05,590 Node[0] Epoch[62] Time cost=81.799 | |
| 2016-05-03 04:47:05,752 Node[0] Saved checkpoint to "cifar10/resnet-0063.params" | |
| 2016-05-03 04:47:07,653 Node[0] Epoch[62] Validation-accuracy=0.869692 | |
| 2016-05-03 04:47:18,120 Node[0] Epoch[63] Batch [50] Speed: 614.76 samples/sec Train-accuracy=0.936875 | |
| 2016-05-03 04:47:28,500 Node[0] Epoch[63] Batch [100] Speed: 616.53 samples/sec Train-accuracy=0.943594 | |
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| 2016-05-03 04:48:10,303 Node[0] Epoch[63] Batch [300] Speed: 612.84 samples/sec Train-accuracy=0.952500 | |
| 2016-05-03 04:48:20,750 Node[0] Epoch[63] Batch [350] Speed: 612.58 samples/sec Train-accuracy=0.951094 | |
| 2016-05-03 04:48:29,152 Node[0] Epoch[63] Resetting Data Iterator | |
| 2016-05-03 04:48:29,153 Node[0] Epoch[63] Time cost=81.500 | |
| 2016-05-03 04:48:29,318 Node[0] Saved checkpoint to "cifar10/resnet-0064.params" | |
| 2016-05-03 04:48:31,216 Node[0] Epoch[63] Validation-accuracy=0.878005 | |
| 2016-05-03 04:48:41,712 Node[0] Epoch[64] Batch [50] Speed: 612.98 samples/sec Train-accuracy=0.941875 | |
| 2016-05-03 04:48:52,180 Node[0] Epoch[64] Batch [100] Speed: 611.40 samples/sec Train-accuracy=0.949688 | |
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| 2016-05-03 04:49:33,848 Node[0] Epoch[64] Batch [300] Speed: 614.50 samples/sec Train-accuracy=0.946094 | |
| 2016-05-03 04:49:44,345 Node[0] Epoch[64] Batch [350] Speed: 609.70 samples/sec Train-accuracy=0.943438 | |
| 2016-05-03 04:49:52,920 Node[0] Epoch[64] Resetting Data Iterator | |
| 2016-05-03 04:49:52,921 Node[0] Epoch[64] Time cost=81.704 | |
| 2016-05-03 04:49:53,087 Node[0] Saved checkpoint to "cifar10/resnet-0065.params" | |
| 2016-05-03 04:49:55,242 Node[0] Epoch[64] Validation-accuracy=0.891218 | |
| 2016-05-03 04:50:05,789 Node[0] Epoch[65] Batch [50] Speed: 609.95 samples/sec Train-accuracy=0.946094 | |
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| 2016-05-03 04:50:57,880 Node[0] Epoch[65] Batch [300] Speed: 609.70 samples/sec Train-accuracy=0.948750 | |
| 2016-05-03 04:51:08,397 Node[0] Epoch[65] Batch [350] Speed: 608.59 samples/sec Train-accuracy=0.947500 | |
| 2016-05-03 04:51:16,956 Node[0] Epoch[65] Resetting Data Iterator | |
| 2016-05-03 04:51:16,956 Node[0] Epoch[65] Time cost=81.714 | |
| 2016-05-03 04:51:17,121 Node[0] Saved checkpoint to "cifar10/resnet-0066.params" | |
| 2016-05-03 04:51:19,044 Node[0] Epoch[65] Validation-accuracy=0.869291 | |
| 2016-05-03 04:51:29,514 Node[0] Epoch[66] Batch [50] Speed: 614.43 samples/sec Train-accuracy=0.947031 | |
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| 2016-05-03 04:52:21,670 Node[0] Epoch[66] Batch [300] Speed: 610.81 samples/sec Train-accuracy=0.947344 | |
| 2016-05-03 04:52:32,135 Node[0] Epoch[66] Batch [350] Speed: 611.63 samples/sec Train-accuracy=0.942969 | |
| 2016-05-03 04:52:40,497 Node[0] Epoch[66] Resetting Data Iterator | |
| 2016-05-03 04:52:40,497 Node[0] Epoch[66] Time cost=81.453 | |
| 2016-05-03 04:52:40,665 Node[0] Saved checkpoint to "cifar10/resnet-0067.params" | |
| 2016-05-03 04:52:42,595 Node[0] Epoch[66] Validation-accuracy=0.878305 | |
| 2016-05-03 04:52:53,116 Node[0] Epoch[67] Batch [50] Speed: 611.51 samples/sec Train-accuracy=0.947344 | |
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| 2016-05-03 04:53:55,740 Node[0] Epoch[67] Batch [350] Speed: 612.27 samples/sec Train-accuracy=0.947187 | |
| 2016-05-03 04:54:04,336 Node[0] Epoch[67] Resetting Data Iterator | |
| 2016-05-03 04:54:04,337 Node[0] Epoch[67] Time cost=81.741 | |
| 2016-05-03 04:54:04,503 Node[0] Saved checkpoint to "cifar10/resnet-0068.params" | |
| 2016-05-03 04:54:06,449 Node[0] Epoch[67] Validation-accuracy=0.879307 | |
| 2016-05-03 04:54:16,894 Node[0] Epoch[68] Batch [50] Speed: 615.98 samples/sec Train-accuracy=0.946250 | |
| 2016-05-03 04:54:27,390 Node[0] Epoch[68] Batch [100] Speed: 609.77 samples/sec Train-accuracy=0.944375 | |
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| 2016-05-03 04:55:19,604 Node[0] Epoch[68] Batch [350] Speed: 611.48 samples/sec Train-accuracy=0.944844 | |
| 2016-05-03 04:55:28,177 Node[0] Epoch[68] Resetting Data Iterator | |
| 2016-05-03 04:55:28,177 Node[0] Epoch[68] Time cost=81.727 | |
| 2016-05-03 04:55:28,343 Node[0] Saved checkpoint to "cifar10/resnet-0069.params" | |
| 2016-05-03 04:55:30,262 Node[0] Epoch[68] Validation-accuracy=0.870393 | |
| 2016-05-03 04:55:40,786 Node[0] Epoch[69] Batch [50] Speed: 611.42 samples/sec Train-accuracy=0.947031 | |
| 2016-05-03 04:55:51,309 Node[0] Epoch[69] Batch [100] Speed: 608.19 samples/sec Train-accuracy=0.948281 | |
| 2016-05-03 04:56:01,842 Node[0] Epoch[69] Batch [150] Speed: 607.66 samples/sec Train-accuracy=0.948594 | |
| 2016-05-03 04:56:12,374 Node[0] Epoch[69] Batch [200] Speed: 607.68 samples/sec Train-accuracy=0.947656 | |
| 2016-05-03 04:56:22,872 Node[0] Epoch[69] Batch [250] Speed: 609.64 samples/sec Train-accuracy=0.950937 | |
| 2016-05-03 04:56:33,372 Node[0] Epoch[69] Batch [300] Speed: 609.58 samples/sec Train-accuracy=0.945000 | |
| 2016-05-03 04:56:43,841 Node[0] Epoch[69] Batch [350] Speed: 611.30 samples/sec Train-accuracy=0.942969 | |
| 2016-05-03 04:56:52,232 Node[0] Epoch[69] Resetting Data Iterator | |
| 2016-05-03 04:56:52,232 Node[0] Epoch[69] Time cost=81.970 | |
| 2016-05-03 04:56:52,395 Node[0] Saved checkpoint to "cifar10/resnet-0070.params" | |
| 2016-05-03 04:56:54,308 Node[0] Epoch[69] Validation-accuracy=0.882412 | |
| 2016-05-03 04:57:04,782 Node[0] Epoch[70] Batch [50] Speed: 614.23 samples/sec Train-accuracy=0.950000 | |
| 2016-05-03 04:57:15,296 Node[0] Epoch[70] Batch [100] Speed: 608.72 samples/sec Train-accuracy=0.944844 | |
| 2016-05-03 04:57:25,801 Node[0] Epoch[70] Batch [150] Speed: 609.29 samples/sec Train-accuracy=0.940312 | |
| 2016-05-03 04:57:36,353 Node[0] Epoch[70] Batch [200] Speed: 606.50 samples/sec Train-accuracy=0.950000 | |
| 2016-05-03 04:57:46,766 Node[0] Epoch[70] Batch [250] Speed: 614.62 samples/sec Train-accuracy=0.947344 | |
| 2016-05-03 04:57:57,215 Node[0] Epoch[70] Batch [300] Speed: 612.52 samples/sec Train-accuracy=0.945625 | |
| 2016-05-03 04:58:07,681 Node[0] Epoch[70] Batch [350] Speed: 611.54 samples/sec Train-accuracy=0.948281 | |
| 2016-05-03 04:58:16,254 Node[0] Epoch[70] Resetting Data Iterator | |
| 2016-05-03 04:58:16,254 Node[0] Epoch[70] Time cost=81.946 | |
| 2016-05-03 04:58:16,417 Node[0] Saved checkpoint to "cifar10/resnet-0071.params" | |
| 2016-05-03 04:58:18,349 Node[0] Epoch[70] Validation-accuracy=0.879908 | |
| 2016-05-03 04:58:28,865 Node[0] Epoch[71] Batch [50] Speed: 611.81 samples/sec Train-accuracy=0.949844 | |
| 2016-05-03 04:58:39,377 Node[0] Epoch[71] Batch [100] Speed: 608.82 samples/sec Train-accuracy=0.949375 | |
| 2016-05-03 04:58:49,907 Node[0] Epoch[71] Batch [150] Speed: 607.84 samples/sec Train-accuracy=0.949531 | |
| 2016-05-03 04:59:00,441 Node[0] Epoch[71] Batch [200] Speed: 607.53 samples/sec Train-accuracy=0.949375 | |
| 2016-05-03 04:59:10,929 Node[0] Epoch[71] Batch [250] Speed: 610.25 samples/sec Train-accuracy=0.949688 | |
| 2016-05-03 04:59:21,443 Node[0] Epoch[71] Batch [300] Speed: 608.72 samples/sec Train-accuracy=0.946875 | |
| 2016-05-03 04:59:31,947 Node[0] Epoch[71] Batch [350] Speed: 609.31 samples/sec Train-accuracy=0.951250 | |
| 2016-05-03 04:59:40,358 Node[0] Epoch[71] Resetting Data Iterator | |
| 2016-05-03 04:59:40,359 Node[0] Epoch[71] Time cost=82.009 | |
| 2016-05-03 04:59:40,521 Node[0] Saved checkpoint to "cifar10/resnet-0072.params" | |
| 2016-05-03 04:59:42,415 Node[0] Epoch[71] Validation-accuracy=0.875000 | |
| 2016-05-03 04:59:52,949 Node[0] Epoch[72] Batch [50] Speed: 610.74 samples/sec Train-accuracy=0.948125 | |
| 2016-05-03 05:00:03,404 Node[0] Epoch[72] Batch [100] Speed: 612.17 samples/sec Train-accuracy=0.947812 | |
| 2016-05-03 05:00:13,773 Node[0] Epoch[72] Batch [150] Speed: 617.23 samples/sec Train-accuracy=0.949375 | |
| 2016-05-03 05:00:24,235 Node[0] Epoch[72] Batch [200] Speed: 611.77 samples/sec Train-accuracy=0.950313 | |
| 2016-05-03 05:00:34,739 Node[0] Epoch[72] Batch [250] Speed: 609.27 samples/sec Train-accuracy=0.951250 | |
| 2016-05-03 05:00:45,242 Node[0] Epoch[72] Batch [300] Speed: 609.40 samples/sec Train-accuracy=0.952500 | |
| 2016-05-03 05:00:55,741 Node[0] Epoch[72] Batch [350] Speed: 609.56 samples/sec Train-accuracy=0.949531 | |
| 2016-05-03 05:01:04,306 Node[0] Epoch[72] Resetting Data Iterator | |
| 2016-05-03 05:01:04,307 Node[0] Epoch[72] Time cost=81.892 | |
| 2016-05-03 05:01:04,473 Node[0] Saved checkpoint to "cifar10/resnet-0073.params" | |
| 2016-05-03 05:01:06,589 Node[0] Epoch[72] Validation-accuracy=0.882911 | |
| 2016-05-03 05:01:17,059 Node[0] Epoch[73] Batch [50] Speed: 614.49 samples/sec Train-accuracy=0.953594 | |
| 2016-05-03 05:01:27,540 Node[0] Epoch[73] Batch [100] Speed: 610.61 samples/sec Train-accuracy=0.950313 | |
| 2016-05-03 05:01:38,024 Node[0] Epoch[73] Batch [150] Speed: 610.51 samples/sec Train-accuracy=0.944219 | |
| 2016-05-03 05:01:48,517 Node[0] Epoch[73] Batch [200] Speed: 609.94 samples/sec Train-accuracy=0.947344 | |
| 2016-05-03 05:01:59,057 Node[0] Epoch[73] Batch [250] Speed: 607.21 samples/sec Train-accuracy=0.947187 | |
| 2016-05-03 05:02:09,570 Node[0] Epoch[73] Batch [300] Speed: 608.76 samples/sec Train-accuracy=0.951719 | |
| 2016-05-03 05:02:20,079 Node[0] Epoch[73] Batch [350] Speed: 609.05 samples/sec Train-accuracy=0.949375 | |
| 2016-05-03 05:02:28,688 Node[0] Epoch[73] Resetting Data Iterator | |
| 2016-05-03 05:02:28,688 Node[0] Epoch[73] Time cost=82.099 | |
| 2016-05-03 05:02:28,857 Node[0] Saved checkpoint to "cifar10/resnet-0074.params" | |
| 2016-05-03 05:02:30,784 Node[0] Epoch[73] Validation-accuracy=0.876502 | |
| 2016-05-03 05:02:41,281 Node[0] Epoch[74] Batch [50] Speed: 612.90 samples/sec Train-accuracy=0.950937 | |
| 2016-05-03 05:02:51,770 Node[0] Epoch[74] Batch [100] Speed: 610.14 samples/sec Train-accuracy=0.950781 | |
| 2016-05-03 05:03:02,315 Node[0] Epoch[74] Batch [150] Speed: 606.96 samples/sec Train-accuracy=0.948594 | |
| 2016-05-03 05:03:12,787 Node[0] Epoch[74] Batch [200] Speed: 611.14 samples/sec Train-accuracy=0.946094 | |
| 2016-05-03 05:03:23,338 Node[0] Epoch[74] Batch [250] Speed: 606.60 samples/sec Train-accuracy=0.947344 | |
| 2016-05-03 05:03:33,843 Node[0] Epoch[74] Batch [300] Speed: 609.25 samples/sec Train-accuracy=0.950000 | |
| 2016-05-03 05:03:44,321 Node[0] Epoch[74] Batch [350] Speed: 610.82 samples/sec Train-accuracy=0.947187 | |
| 2016-05-03 05:03:52,726 Node[0] Epoch[74] Resetting Data Iterator | |
| 2016-05-03 05:03:52,726 Node[0] Epoch[74] Time cost=81.943 | |
| 2016-05-03 05:03:52,895 Node[0] Saved checkpoint to "cifar10/resnet-0075.params" | |
| 2016-05-03 05:03:54,797 Node[0] Epoch[74] Validation-accuracy=0.880709 | |
| 2016-05-03 05:04:05,378 Node[0] Epoch[75] Batch [50] Speed: 607.93 samples/sec Train-accuracy=0.942969 | |
| 2016-05-03 05:04:15,870 Node[0] Epoch[75] Batch [100] Speed: 609.99 samples/sec Train-accuracy=0.950781 | |
| 2016-05-03 05:04:26,357 Node[0] Epoch[75] Batch [150] Speed: 610.28 samples/sec Train-accuracy=0.953125 | |
| 2016-05-03 05:04:36,825 Node[0] Epoch[75] Batch [200] Speed: 611.46 samples/sec Train-accuracy=0.950469 | |
| 2016-05-03 05:04:47,333 Node[0] Epoch[75] Batch [250] Speed: 609.03 samples/sec Train-accuracy=0.949531 | |
| 2016-05-03 05:04:57,825 Node[0] Epoch[75] Batch [300] Speed: 610.02 samples/sec Train-accuracy=0.951562 | |
| 2016-05-03 05:05:08,356 Node[0] Epoch[75] Batch [350] Speed: 607.74 samples/sec Train-accuracy=0.948750 | |
| 2016-05-03 05:05:16,942 Node[0] Epoch[75] Resetting Data Iterator | |
| 2016-05-03 05:05:16,942 Node[0] Epoch[75] Time cost=82.145 | |
| 2016-05-03 05:05:17,107 Node[0] Saved checkpoint to "cifar10/resnet-0076.params" | |
| 2016-05-03 05:05:19,045 Node[0] Epoch[75] Validation-accuracy=0.892228 | |
| 2016-05-03 05:05:29,609 Node[0] Epoch[76] Batch [50] Speed: 609.02 samples/sec Train-accuracy=0.957656 | |
| 2016-05-03 05:05:40,177 Node[0] Epoch[76] Batch [100] Speed: 605.61 samples/sec Train-accuracy=0.948125 | |
| 2016-05-03 05:05:50,696 Node[0] Epoch[76] Batch [150] Speed: 608.45 samples/sec Train-accuracy=0.948281 | |
| 2016-05-03 05:06:01,180 Node[0] Epoch[76] Batch [200] Speed: 610.42 samples/sec Train-accuracy=0.949219 | |
| 2016-05-03 05:06:11,660 Node[0] Epoch[76] Batch [250] Speed: 610.73 samples/sec Train-accuracy=0.945937 | |
| 2016-05-03 05:06:22,178 Node[0] Epoch[76] Batch [300] Speed: 608.52 samples/sec Train-accuracy=0.952187 | |
| 2016-05-03 05:06:32,714 Node[0] Epoch[76] Batch [350] Speed: 607.41 samples/sec Train-accuracy=0.950781 | |
| 2016-05-03 05:06:41,310 Node[0] Epoch[76] Resetting Data Iterator | |
| 2016-05-03 05:06:41,310 Node[0] Epoch[76] Time cost=82.265 | |
| 2016-05-03 05:06:41,473 Node[0] Saved checkpoint to "cifar10/resnet-0077.params" | |
| 2016-05-03 05:06:43,406 Node[0] Epoch[76] Validation-accuracy=0.866186 | |
| 2016-05-03 05:06:53,986 Node[0] Epoch[77] Batch [50] Speed: 608.14 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 05:07:04,506 Node[0] Epoch[77] Batch [100] Speed: 608.38 samples/sec Train-accuracy=0.949688 | |
| 2016-05-03 05:07:14,993 Node[0] Epoch[77] Batch [150] Speed: 610.24 samples/sec Train-accuracy=0.953125 | |
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| 2016-05-03 05:07:46,543 Node[0] Epoch[77] Batch [300] Speed: 608.21 samples/sec Train-accuracy=0.954688 | |
| 2016-05-03 05:07:57,041 Node[0] Epoch[77] Batch [350] Speed: 609.63 samples/sec Train-accuracy=0.944844 | |
| 2016-05-03 05:08:05,424 Node[0] Epoch[77] Resetting Data Iterator | |
| 2016-05-03 05:08:05,425 Node[0] Epoch[77] Time cost=82.018 | |
| 2016-05-03 05:08:05,593 Node[0] Saved checkpoint to "cifar10/resnet-0078.params" | |
| 2016-05-03 05:08:07,541 Node[0] Epoch[77] Validation-accuracy=0.883413 | |
| 2016-05-03 05:08:18,127 Node[0] Epoch[78] Batch [50] Speed: 607.83 samples/sec Train-accuracy=0.947031 | |
| 2016-05-03 05:08:28,630 Node[0] Epoch[78] Batch [100] Speed: 609.38 samples/sec Train-accuracy=0.951562 | |
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| 2016-05-03 05:09:00,161 Node[0] Epoch[78] Batch [250] Speed: 606.63 samples/sec Train-accuracy=0.955000 | |
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| 2016-05-03 05:09:21,192 Node[0] Epoch[78] Batch [350] Speed: 608.36 samples/sec Train-accuracy=0.950156 | |
| 2016-05-03 05:09:29,813 Node[0] Epoch[78] Resetting Data Iterator | |
| 2016-05-03 05:09:29,813 Node[0] Epoch[78] Time cost=82.272 | |
| 2016-05-03 05:09:29,977 Node[0] Saved checkpoint to "cifar10/resnet-0079.params" | |
| 2016-05-03 05:09:31,901 Node[0] Epoch[78] Validation-accuracy=0.874399 | |
| 2016-05-03 05:09:42,435 Node[0] Epoch[79] Batch [50] Speed: 610.75 samples/sec Train-accuracy=0.953125 | |
| 2016-05-03 05:09:52,936 Node[0] Epoch[79] Batch [100] Speed: 609.50 samples/sec Train-accuracy=0.950313 | |
| 2016-05-03 05:10:03,406 Node[0] Epoch[79] Batch [150] Speed: 611.29 samples/sec Train-accuracy=0.950781 | |
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| 2016-05-03 05:10:34,945 Node[0] Epoch[79] Batch [300] Speed: 608.42 samples/sec Train-accuracy=0.951094 | |
| 2016-05-03 05:10:45,474 Node[0] Epoch[79] Batch [350] Speed: 607.89 samples/sec Train-accuracy=0.954688 | |
| 2016-05-03 05:10:53,875 Node[0] Epoch[79] Resetting Data Iterator | |
| 2016-05-03 05:10:53,875 Node[0] Epoch[79] Time cost=81.974 | |
| 2016-05-03 05:10:54,039 Node[0] Saved checkpoint to "cifar10/resnet-0080.params" | |
| 2016-05-03 05:10:55,943 Node[0] Epoch[79] Validation-accuracy=0.866186 | |
| 2016-05-03 05:10:55,944 Node[0] Update[31251]: Change learning rate to 1.00000e-02 | |
| 2016-05-03 05:11:06,502 Node[0] Epoch[80] Batch [50] Speed: 609.29 samples/sec Train-accuracy=0.954844 | |
| 2016-05-03 05:11:17,066 Node[0] Epoch[80] Batch [100] Speed: 605.89 samples/sec Train-accuracy=0.966875 | |
| 2016-05-03 05:11:27,606 Node[0] Epoch[80] Batch [150] Speed: 607.18 samples/sec Train-accuracy=0.970156 | |
| 2016-05-03 05:11:38,149 Node[0] Epoch[80] Batch [200] Speed: 607.10 samples/sec Train-accuracy=0.971719 | |
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| 2016-05-03 05:11:59,172 Node[0] Epoch[80] Batch [300] Speed: 610.91 samples/sec Train-accuracy=0.978906 | |
| 2016-05-03 05:12:09,643 Node[0] Epoch[80] Batch [350] Speed: 611.20 samples/sec Train-accuracy=0.979531 | |
| 2016-05-03 05:12:18,251 Node[0] Epoch[80] Resetting Data Iterator | |
| 2016-05-03 05:12:18,251 Node[0] Epoch[80] Time cost=82.308 | |
| 2016-05-03 05:12:18,414 Node[0] Saved checkpoint to "cifar10/resnet-0081.params" | |
| 2016-05-03 05:12:20,529 Node[0] Epoch[80] Validation-accuracy=0.914953 | |
| 2016-05-03 05:12:31,082 Node[0] Epoch[81] Batch [50] Speed: 609.71 samples/sec Train-accuracy=0.979531 | |
| 2016-05-03 05:12:41,561 Node[0] Epoch[81] Batch [100] Speed: 610.80 samples/sec Train-accuracy=0.978750 | |
| 2016-05-03 05:12:51,959 Node[0] Epoch[81] Batch [150] Speed: 615.49 samples/sec Train-accuracy=0.978906 | |
| 2016-05-03 05:13:02,323 Node[0] Epoch[81] Batch [200] Speed: 617.53 samples/sec Train-accuracy=0.981406 | |
| 2016-05-03 05:13:12,855 Node[0] Epoch[81] Batch [250] Speed: 607.70 samples/sec Train-accuracy=0.981563 | |
| 2016-05-03 05:13:23,482 Node[0] Epoch[81] Batch [300] Speed: 602.22 samples/sec Train-accuracy=0.985156 | |
| 2016-05-03 05:13:34,074 Node[0] Epoch[81] Batch [350] Speed: 604.25 samples/sec Train-accuracy=0.985781 | |
| 2016-05-03 05:13:42,689 Node[0] Epoch[81] Resetting Data Iterator | |
| 2016-05-03 05:13:42,690 Node[0] Epoch[81] Time cost=82.160 | |
| 2016-05-03 05:13:42,854 Node[0] Saved checkpoint to "cifar10/resnet-0082.params" | |
| 2016-05-03 05:13:44,758 Node[0] Epoch[81] Validation-accuracy=0.917167 | |
| 2016-05-03 05:13:55,216 Node[0] Epoch[82] Batch [50] Speed: 615.21 samples/sec Train-accuracy=0.984688 | |
| 2016-05-03 05:14:05,737 Node[0] Epoch[82] Batch [100] Speed: 608.27 samples/sec Train-accuracy=0.986563 | |
| 2016-05-03 05:14:16,217 Node[0] Epoch[82] Batch [150] Speed: 610.74 samples/sec Train-accuracy=0.985625 | |
| 2016-05-03 05:14:26,787 Node[0] Epoch[82] Batch [200] Speed: 605.48 samples/sec Train-accuracy=0.985938 | |
| 2016-05-03 05:14:37,267 Node[0] Epoch[82] Batch [250] Speed: 610.70 samples/sec Train-accuracy=0.988281 | |
| 2016-05-03 05:14:47,731 Node[0] Epoch[82] Batch [300] Speed: 611.64 samples/sec Train-accuracy=0.987344 | |
| 2016-05-03 05:14:58,241 Node[0] Epoch[82] Batch [350] Speed: 608.97 samples/sec Train-accuracy=0.987969 | |
| 2016-05-03 05:15:06,625 Node[0] Epoch[82] Resetting Data Iterator | |
| 2016-05-03 05:15:06,625 Node[0] Epoch[82] Time cost=81.867 | |
| 2016-05-03 05:15:06,789 Node[0] Saved checkpoint to "cifar10/resnet-0083.params" | |
| 2016-05-03 05:15:08,701 Node[0] Epoch[82] Validation-accuracy=0.918870 | |
| 2016-05-03 05:15:19,233 Node[0] Epoch[83] Batch [50] Speed: 610.92 samples/sec Train-accuracy=0.986875 | |
| 2016-05-03 05:15:29,725 Node[0] Epoch[83] Batch [100] Speed: 609.99 samples/sec Train-accuracy=0.983906 | |
| 2016-05-03 05:15:40,242 Node[0] Epoch[83] Batch [150] Speed: 608.57 samples/sec Train-accuracy=0.986719 | |
| 2016-05-03 05:15:50,748 Node[0] Epoch[83] Batch [200] Speed: 609.18 samples/sec Train-accuracy=0.989219 | |
| 2016-05-03 05:16:01,271 Node[0] Epoch[83] Batch [250] Speed: 608.25 samples/sec Train-accuracy=0.989062 | |
| 2016-05-03 05:16:11,752 Node[0] Epoch[83] Batch [300] Speed: 610.63 samples/sec Train-accuracy=0.990938 | |
| 2016-05-03 05:16:22,270 Node[0] Epoch[83] Batch [350] Speed: 608.45 samples/sec Train-accuracy=0.988750 | |
| 2016-05-03 05:16:30,884 Node[0] Epoch[83] Resetting Data Iterator | |
| 2016-05-03 05:16:30,885 Node[0] Epoch[83] Time cost=82.183 | |
| 2016-05-03 05:16:31,051 Node[0] Saved checkpoint to "cifar10/resnet-0084.params" | |
| 2016-05-03 05:16:32,987 Node[0] Epoch[83] Validation-accuracy=0.917668 | |
| 2016-05-03 05:16:43,567 Node[0] Epoch[84] Batch [50] Speed: 608.10 samples/sec Train-accuracy=0.988594 | |
| 2016-05-03 05:16:54,121 Node[0] Epoch[84] Batch [100] Speed: 606.44 samples/sec Train-accuracy=0.988594 | |
| 2016-05-03 05:17:04,507 Node[0] Epoch[84] Batch [150] Speed: 616.23 samples/sec Train-accuracy=0.988750 | |
| 2016-05-03 05:17:14,934 Node[0] Epoch[84] Batch [200] Speed: 613.81 samples/sec Train-accuracy=0.988906 | |
| 2016-05-03 05:17:25,433 Node[0] Epoch[84] Batch [250] Speed: 609.61 samples/sec Train-accuracy=0.992344 | |
| 2016-05-03 05:17:35,919 Node[0] Epoch[84] Batch [300] Speed: 610.33 samples/sec Train-accuracy=0.991563 | |
| 2016-05-03 05:17:46,436 Node[0] Epoch[84] Batch [350] Speed: 608.59 samples/sec Train-accuracy=0.992031 | |
| 2016-05-03 05:17:55,020 Node[0] Epoch[84] Resetting Data Iterator | |
| 2016-05-03 05:17:55,020 Node[0] Epoch[84] Time cost=82.033 | |
| 2016-05-03 05:17:55,185 Node[0] Saved checkpoint to "cifar10/resnet-0085.params" | |
| 2016-05-03 05:17:57,098 Node[0] Epoch[84] Validation-accuracy=0.920873 | |
| 2016-05-03 05:18:07,681 Node[0] Epoch[85] Batch [50] Speed: 608.05 samples/sec Train-accuracy=0.990000 | |
| 2016-05-03 05:18:18,276 Node[0] Epoch[85] Batch [100] Speed: 604.07 samples/sec Train-accuracy=0.990000 | |
| 2016-05-03 05:18:28,764 Node[0] Epoch[85] Batch [150] Speed: 610.27 samples/sec Train-accuracy=0.989375 | |
| 2016-05-03 05:18:39,255 Node[0] Epoch[85] Batch [200] Speed: 610.03 samples/sec Train-accuracy=0.989219 | |
| 2016-05-03 05:18:49,807 Node[0] Epoch[85] Batch [250] Speed: 606.52 samples/sec Train-accuracy=0.990938 | |
| 2016-05-03 05:19:00,303 Node[0] Epoch[85] Batch [300] Speed: 609.78 samples/sec Train-accuracy=0.991875 | |
| 2016-05-03 05:19:10,721 Node[0] Epoch[85] Batch [350] Speed: 614.34 samples/sec Train-accuracy=0.992812 | |
| 2016-05-03 05:19:19,110 Node[0] Epoch[85] Resetting Data Iterator | |
| 2016-05-03 05:19:19,110 Node[0] Epoch[85] Time cost=82.012 | |
| 2016-05-03 05:19:19,272 Node[0] Saved checkpoint to "cifar10/resnet-0086.params" | |
| 2016-05-03 05:19:21,198 Node[0] Epoch[85] Validation-accuracy=0.920072 | |
| 2016-05-03 05:19:31,826 Node[0] Epoch[86] Batch [50] Speed: 605.33 samples/sec Train-accuracy=0.990469 | |
| 2016-05-03 05:19:42,370 Node[0] Epoch[86] Batch [100] Speed: 606.99 samples/sec Train-accuracy=0.990469 | |
| 2016-05-03 05:19:52,852 Node[0] Epoch[86] Batch [150] Speed: 610.61 samples/sec Train-accuracy=0.992344 | |
| 2016-05-03 05:20:03,360 Node[0] Epoch[86] Batch [200] Speed: 609.03 samples/sec Train-accuracy=0.989688 | |
| 2016-05-03 05:20:13,864 Node[0] Epoch[86] Batch [250] Speed: 609.34 samples/sec Train-accuracy=0.992031 | |
| 2016-05-03 05:20:24,351 Node[0] Epoch[86] Batch [300] Speed: 610.28 samples/sec Train-accuracy=0.993437 | |
| 2016-05-03 05:20:34,815 Node[0] Epoch[86] Batch [350] Speed: 611.65 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:20:43,418 Node[0] Epoch[86] Resetting Data Iterator | |
| 2016-05-03 05:20:43,418 Node[0] Epoch[86] Time cost=82.220 | |
| 2016-05-03 05:20:43,584 Node[0] Saved checkpoint to "cifar10/resnet-0087.params" | |
| 2016-05-03 05:20:45,524 Node[0] Epoch[86] Validation-accuracy=0.920573 | |
| 2016-05-03 05:20:56,072 Node[0] Epoch[87] Batch [50] Speed: 609.91 samples/sec Train-accuracy=0.992656 | |
| 2016-05-03 05:21:06,582 Node[0] Epoch[87] Batch [100] Speed: 608.97 samples/sec Train-accuracy=0.992031 | |
| 2016-05-03 05:21:17,108 Node[0] Epoch[87] Batch [150] Speed: 608.00 samples/sec Train-accuracy=0.991875 | |
| 2016-05-03 05:21:27,613 Node[0] Epoch[87] Batch [200] Speed: 609.23 samples/sec Train-accuracy=0.989531 | |
| 2016-05-03 05:21:38,078 Node[0] Epoch[87] Batch [250] Speed: 611.60 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 05:21:48,576 Node[0] Epoch[87] Batch [300] Speed: 609.63 samples/sec Train-accuracy=0.993594 | |
| 2016-05-03 05:21:59,097 Node[0] Epoch[87] Batch [350] Speed: 608.36 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:22:07,494 Node[0] Epoch[87] Resetting Data Iterator | |
| 2016-05-03 05:22:07,495 Node[0] Epoch[87] Time cost=81.971 | |
| 2016-05-03 05:22:07,656 Node[0] Saved checkpoint to "cifar10/resnet-0088.params" | |
| 2016-05-03 05:22:09,574 Node[0] Epoch[87] Validation-accuracy=0.920773 | |
| 2016-05-03 05:22:20,188 Node[0] Epoch[88] Batch [50] Speed: 606.16 samples/sec Train-accuracy=0.991406 | |
| 2016-05-03 05:22:30,703 Node[0] Epoch[88] Batch [100] Speed: 608.69 samples/sec Train-accuracy=0.992812 | |
| 2016-05-03 05:22:41,187 Node[0] Epoch[88] Batch [150] Speed: 610.46 samples/sec Train-accuracy=0.993281 | |
| 2016-05-03 05:22:51,650 Node[0] Epoch[88] Batch [200] Speed: 611.70 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 05:23:02,181 Node[0] Epoch[88] Batch [250] Speed: 607.76 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 05:23:12,716 Node[0] Epoch[88] Batch [300] Speed: 607.49 samples/sec Train-accuracy=0.992969 | |
| 2016-05-03 05:23:23,234 Node[0] Epoch[88] Batch [350] Speed: 608.52 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 05:23:31,814 Node[0] Epoch[88] Resetting Data Iterator | |
| 2016-05-03 05:23:31,814 Node[0] Epoch[88] Time cost=82.240 | |
| 2016-05-03 05:23:31,976 Node[0] Saved checkpoint to "cifar10/resnet-0089.params" | |
| 2016-05-03 05:23:34,151 Node[0] Epoch[88] Validation-accuracy=0.921084 | |
| 2016-05-03 05:23:44,717 Node[0] Epoch[89] Batch [50] Speed: 608.90 samples/sec Train-accuracy=0.992812 | |
| 2016-05-03 05:23:55,255 Node[0] Epoch[89] Batch [100] Speed: 607.31 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 05:24:05,719 Node[0] Epoch[89] Batch [150] Speed: 611.66 samples/sec Train-accuracy=0.993125 | |
| 2016-05-03 05:24:16,224 Node[0] Epoch[89] Batch [200] Speed: 609.22 samples/sec Train-accuracy=0.993750 | |
| 2016-05-03 05:24:26,704 Node[0] Epoch[89] Batch [250] Speed: 610.72 samples/sec Train-accuracy=0.993750 | |
| 2016-05-03 05:24:37,196 Node[0] Epoch[89] Batch [300] Speed: 610.00 samples/sec Train-accuracy=0.995313 | |
| 2016-05-03 05:24:47,721 Node[0] Epoch[89] Batch [350] Speed: 608.09 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 05:24:56,331 Node[0] Epoch[89] Resetting Data Iterator | |
| 2016-05-03 05:24:56,331 Node[0] Epoch[89] Time cost=82.179 | |
| 2016-05-03 05:24:56,501 Node[0] Saved checkpoint to "cifar10/resnet-0090.params" | |
| 2016-05-03 05:24:58,438 Node[0] Epoch[89] Validation-accuracy=0.920072 | |
| 2016-05-03 05:25:08,992 Node[0] Epoch[90] Batch [50] Speed: 609.58 samples/sec Train-accuracy=0.993906 | |
| 2016-05-03 05:25:19,550 Node[0] Epoch[90] Batch [100] Speed: 606.23 samples/sec Train-accuracy=0.992500 | |
| 2016-05-03 05:25:30,069 Node[0] Epoch[90] Batch [150] Speed: 608.45 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:25:40,567 Node[0] Epoch[90] Batch [200] Speed: 609.62 samples/sec Train-accuracy=0.993437 | |
| 2016-05-03 05:25:51,071 Node[0] Epoch[90] Batch [250] Speed: 609.30 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 05:26:01,598 Node[0] Epoch[90] Batch [300] Speed: 607.98 samples/sec Train-accuracy=0.995781 | |
| 2016-05-03 05:26:12,120 Node[0] Epoch[90] Batch [350] Speed: 608.24 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 05:26:20,496 Node[0] Epoch[90] Resetting Data Iterator | |
| 2016-05-03 05:26:20,496 Node[0] Epoch[90] Time cost=82.057 | |
| 2016-05-03 05:26:20,661 Node[0] Saved checkpoint to "cifar10/resnet-0091.params" | |
| 2016-05-03 05:26:22,571 Node[0] Epoch[90] Validation-accuracy=0.919271 | |
| 2016-05-03 05:26:33,202 Node[0] Epoch[91] Batch [50] Speed: 605.22 samples/sec Train-accuracy=0.996250 | |
| 2016-05-03 05:26:43,665 Node[0] Epoch[91] Batch [100] Speed: 611.65 samples/sec Train-accuracy=0.994219 | |
| 2016-05-03 05:26:54,034 Node[0] Epoch[91] Batch [150] Speed: 617.27 samples/sec Train-accuracy=0.995625 | |
| 2016-05-03 05:27:04,554 Node[0] Epoch[91] Batch [200] Speed: 608.40 samples/sec Train-accuracy=0.995469 | |
| 2016-05-03 05:27:15,026 Node[0] Epoch[91] Batch [250] Speed: 611.12 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 05:27:25,507 Node[0] Epoch[91] Batch [300] Speed: 610.69 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 05:27:35,952 Node[0] Epoch[91] Batch [350] Speed: 612.74 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 05:27:44,550 Node[0] Epoch[91] Resetting Data Iterator | |
| 2016-05-03 05:27:44,550 Node[0] Epoch[91] Time cost=81.978 | |
| 2016-05-03 05:27:44,717 Node[0] Saved checkpoint to "cifar10/resnet-0092.params" | |
| 2016-05-03 05:27:46,662 Node[0] Epoch[91] Validation-accuracy=0.919471 | |
| 2016-05-03 05:27:57,237 Node[0] Epoch[92] Batch [50] Speed: 608.46 samples/sec Train-accuracy=0.995469 | |
| 2016-05-03 05:28:07,711 Node[0] Epoch[92] Batch [100] Speed: 611.03 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 05:28:18,089 Node[0] Epoch[92] Batch [150] Speed: 616.70 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 05:28:28,530 Node[0] Epoch[92] Batch [200] Speed: 613.02 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 05:28:39,020 Node[0] Epoch[92] Batch [250] Speed: 610.12 samples/sec Train-accuracy=0.994062 | |
| 2016-05-03 05:28:49,496 Node[0] Epoch[92] Batch [300] Speed: 610.92 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:29:00,024 Node[0] Epoch[92] Batch [350] Speed: 607.90 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:29:08,621 Node[0] Epoch[92] Resetting Data Iterator | |
| 2016-05-03 05:29:08,622 Node[0] Epoch[92] Time cost=81.960 | |
| 2016-05-03 05:29:08,784 Node[0] Saved checkpoint to "cifar10/resnet-0093.params" | |
| 2016-05-03 05:29:10,715 Node[0] Epoch[92] Validation-accuracy=0.920673 | |
| 2016-05-03 05:29:21,246 Node[0] Epoch[93] Batch [50] Speed: 610.91 samples/sec Train-accuracy=0.994219 | |
| 2016-05-03 05:29:31,765 Node[0] Epoch[93] Batch [100] Speed: 608.45 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:29:42,266 Node[0] Epoch[93] Batch [150] Speed: 609.48 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:29:52,800 Node[0] Epoch[93] Batch [200] Speed: 607.56 samples/sec Train-accuracy=0.995781 | |
| 2016-05-03 05:30:03,319 Node[0] Epoch[93] Batch [250] Speed: 608.44 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 05:30:13,820 Node[0] Epoch[93] Batch [300] Speed: 609.48 samples/sec Train-accuracy=0.996406 | |
| 2016-05-03 05:30:24,318 Node[0] Epoch[93] Batch [350] Speed: 609.63 samples/sec Train-accuracy=0.997031 | |
| 2016-05-03 05:30:32,704 Node[0] Epoch[93] Resetting Data Iterator | |
| 2016-05-03 05:30:32,704 Node[0] Epoch[93] Time cost=81.989 | |
| 2016-05-03 05:30:32,870 Node[0] Saved checkpoint to "cifar10/resnet-0094.params" | |
| 2016-05-03 05:30:34,801 Node[0] Epoch[93] Validation-accuracy=0.920773 | |
| 2016-05-03 05:30:45,348 Node[0] Epoch[94] Batch [50] Speed: 609.98 samples/sec Train-accuracy=0.993750 | |
| 2016-05-03 05:30:55,777 Node[0] Epoch[94] Batch [100] Speed: 613.74 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:31:06,174 Node[0] Epoch[94] Batch [150] Speed: 615.57 samples/sec Train-accuracy=0.997031 | |
| 2016-05-03 05:31:16,620 Node[0] Epoch[94] Batch [200] Speed: 612.64 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:31:27,223 Node[0] Epoch[94] Batch [250] Speed: 603.62 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 05:31:37,847 Node[0] Epoch[94] Batch [300] Speed: 602.45 samples/sec Train-accuracy=0.996406 | |
| 2016-05-03 05:31:48,367 Node[0] Epoch[94] Batch [350] Speed: 608.40 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:31:56,928 Node[0] Epoch[94] Resetting Data Iterator | |
| 2016-05-03 05:31:56,928 Node[0] Epoch[94] Time cost=82.127 | |
| 2016-05-03 05:31:57,090 Node[0] Saved checkpoint to "cifar10/resnet-0095.params" | |
| 2016-05-03 05:31:59,004 Node[0] Epoch[94] Validation-accuracy=0.919171 | |
| 2016-05-03 05:32:09,606 Node[0] Epoch[95] Batch [50] Speed: 606.83 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:32:20,047 Node[0] Epoch[95] Batch [100] Speed: 612.97 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:32:30,454 Node[0] Epoch[95] Batch [150] Speed: 614.98 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 05:32:40,965 Node[0] Epoch[95] Batch [200] Speed: 608.88 samples/sec Train-accuracy=0.995781 | |
| 2016-05-03 05:32:51,566 Node[0] Epoch[95] Batch [250] Speed: 603.76 samples/sec Train-accuracy=0.995625 | |
| 2016-05-03 05:33:02,100 Node[0] Epoch[95] Batch [300] Speed: 607.57 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 05:33:12,601 Node[0] Epoch[95] Batch [350] Speed: 609.47 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:33:20,989 Node[0] Epoch[95] Resetting Data Iterator | |
| 2016-05-03 05:33:20,990 Node[0] Epoch[95] Time cost=81.985 | |
| 2016-05-03 05:33:21,156 Node[0] Saved checkpoint to "cifar10/resnet-0096.params" | |
| 2016-05-03 05:33:23,059 Node[0] Epoch[95] Validation-accuracy=0.922476 | |
| 2016-05-03 05:33:33,593 Node[0] Epoch[96] Batch [50] Speed: 610.74 samples/sec Train-accuracy=0.996563 | |
| 2016-05-03 05:33:44,065 Node[0] Epoch[96] Batch [100] Speed: 611.20 samples/sec Train-accuracy=0.997344 | |
| 2016-05-03 05:33:54,530 Node[0] Epoch[96] Batch [150] Speed: 611.55 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 05:34:05,085 Node[0] Epoch[96] Batch [200] Speed: 606.36 samples/sec Train-accuracy=0.997031 | |
| 2016-05-03 05:34:15,591 Node[0] Epoch[96] Batch [250] Speed: 609.22 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:34:26,118 Node[0] Epoch[96] Batch [300] Speed: 607.98 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 05:34:36,617 Node[0] Epoch[96] Batch [350] Speed: 609.57 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:34:45,222 Node[0] Epoch[96] Resetting Data Iterator | |
| 2016-05-03 05:34:45,222 Node[0] Epoch[96] Time cost=82.163 | |
| 2016-05-03 05:34:45,387 Node[0] Saved checkpoint to "cifar10/resnet-0097.params" | |
| 2016-05-03 05:34:47,497 Node[0] Epoch[96] Validation-accuracy=0.922963 | |
| 2016-05-03 05:34:58,052 Node[0] Epoch[97] Batch [50] Speed: 609.51 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 05:35:08,577 Node[0] Epoch[97] Batch [100] Speed: 608.06 samples/sec Train-accuracy=0.995469 | |
| 2016-05-03 05:35:19,057 Node[0] Epoch[97] Batch [150] Speed: 610.69 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 05:35:29,608 Node[0] Epoch[97] Batch [200] Speed: 606.63 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:35:40,091 Node[0] Epoch[97] Batch [250] Speed: 610.53 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 05:35:50,621 Node[0] Epoch[97] Batch [300] Speed: 607.78 samples/sec Train-accuracy=0.997812 | |
| 2016-05-03 05:36:01,163 Node[0] Epoch[97] Batch [350] Speed: 607.13 samples/sec Train-accuracy=0.997031 | |
| 2016-05-03 05:36:09,774 Node[0] Epoch[97] Resetting Data Iterator | |
| 2016-05-03 05:36:09,774 Node[0] Epoch[97] Time cost=82.277 | |
| 2016-05-03 05:36:09,938 Node[0] Saved checkpoint to "cifar10/resnet-0098.params" | |
| 2016-05-03 05:36:11,876 Node[0] Epoch[97] Validation-accuracy=0.921474 | |
| 2016-05-03 05:36:22,496 Node[0] Epoch[98] Batch [50] Speed: 605.84 samples/sec Train-accuracy=0.995469 | |
| 2016-05-03 05:36:32,888 Node[0] Epoch[98] Batch [100] Speed: 615.90 samples/sec Train-accuracy=0.997344 | |
| 2016-05-03 05:36:43,342 Node[0] Epoch[98] Batch [150] Speed: 612.22 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 05:36:53,905 Node[0] Epoch[98] Batch [200] Speed: 605.91 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:37:04,441 Node[0] Epoch[98] Batch [250] Speed: 607.45 samples/sec Train-accuracy=0.997031 | |
| 2016-05-03 05:37:14,956 Node[0] Epoch[98] Batch [300] Speed: 608.62 samples/sec Train-accuracy=0.997969 | |
| 2016-05-03 05:37:25,518 Node[0] Epoch[98] Batch [350] Speed: 606.01 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:37:33,948 Node[0] Epoch[98] Resetting Data Iterator | |
| 2016-05-03 05:37:33,949 Node[0] Epoch[98] Time cost=82.073 | |
| 2016-05-03 05:37:34,117 Node[0] Saved checkpoint to "cifar10/resnet-0099.params" | |
| 2016-05-03 05:37:36,049 Node[0] Epoch[98] Validation-accuracy=0.921374 | |
| 2016-05-03 05:37:46,544 Node[0] Epoch[99] Batch [50] Speed: 612.99 samples/sec Train-accuracy=0.998437 | |
| 2016-05-03 05:37:57,062 Node[0] Epoch[99] Batch [100] Speed: 608.52 samples/sec Train-accuracy=0.996563 | |
| 2016-05-03 05:38:07,545 Node[0] Epoch[99] Batch [150] Speed: 610.55 samples/sec Train-accuracy=0.997656 | |
| 2016-05-03 05:38:18,067 Node[0] Epoch[99] Batch [200] Speed: 608.25 samples/sec Train-accuracy=0.998125 | |
| 2016-05-03 05:38:28,620 Node[0] Epoch[99] Batch [250] Speed: 606.49 samples/sec Train-accuracy=0.997500 | |
| 2016-05-03 05:38:39,146 Node[0] Epoch[99] Batch [300] Speed: 607.99 samples/sec Train-accuracy=0.997344 | |
| 2016-05-03 05:38:49,641 Node[0] Epoch[99] Batch [350] Speed: 609.85 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:38:58,231 Node[0] Epoch[99] Resetting Data Iterator | |
| 2016-05-03 05:38:58,232 Node[0] Epoch[99] Time cost=82.183 | |
| 2016-05-03 05:38:58,393 Node[0] Saved checkpoint to "cifar10/resnet-0100.params" | |
| 2016-05-03 05:39:00,315 Node[0] Epoch[99] Validation-accuracy=0.921875 | |
| 2016-05-03 05:39:10,858 Node[0] Epoch[100] Batch [50] Speed: 610.20 samples/sec Train-accuracy=0.997812 | |
| 2016-05-03 05:39:21,352 Node[0] Epoch[100] Batch [100] Speed: 609.92 samples/sec Train-accuracy=0.997344 | |
| 2016-05-03 05:39:31,910 Node[0] Epoch[100] Batch [150] Speed: 606.21 samples/sec Train-accuracy=0.997969 | |
| 2016-05-03 05:39:42,411 Node[0] Epoch[100] Batch [200] Speed: 609.46 samples/sec Train-accuracy=0.997969 | |
| 2016-05-03 05:39:52,896 Node[0] Epoch[100] Batch [250] Speed: 610.42 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:40:03,404 Node[0] Epoch[100] Batch [300] Speed: 609.09 samples/sec Train-accuracy=0.996563 | |
| 2016-05-03 05:40:13,890 Node[0] Epoch[100] Batch [350] Speed: 610.32 samples/sec Train-accuracy=0.997656 | |
| 2016-05-03 05:40:22,481 Node[0] Epoch[100] Resetting Data Iterator | |
| 2016-05-03 05:40:22,482 Node[0] Epoch[100] Time cost=82.166 | |
| 2016-05-03 05:40:22,643 Node[0] Saved checkpoint to "cifar10/resnet-0101.params" | |
| 2016-05-03 05:40:24,592 Node[0] Epoch[100] Validation-accuracy=0.921575 | |
| 2016-05-03 05:40:35,125 Node[0] Epoch[101] Batch [50] Speed: 610.81 samples/sec Train-accuracy=0.997656 | |
| 2016-05-03 05:40:45,635 Node[0] Epoch[101] Batch [100] Speed: 608.95 samples/sec Train-accuracy=0.996250 | |
| 2016-05-03 05:40:56,153 Node[0] Epoch[101] Batch [150] Speed: 608.51 samples/sec Train-accuracy=0.996406 | |
| 2016-05-03 05:41:06,666 Node[0] Epoch[101] Batch [200] Speed: 608.76 samples/sec Train-accuracy=0.997969 | |
| 2016-05-03 05:41:17,156 Node[0] Epoch[101] Batch [250] Speed: 610.13 samples/sec Train-accuracy=0.997969 | |
| 2016-05-03 05:41:27,697 Node[0] Epoch[101] Batch [300] Speed: 607.19 samples/sec Train-accuracy=0.997500 | |
| 2016-05-03 05:41:38,228 Node[0] Epoch[101] Batch [350] Speed: 607.72 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 05:41:46,627 Node[0] Epoch[101] Resetting Data Iterator | |
| 2016-05-03 05:41:46,627 Node[0] Epoch[101] Time cost=82.035 | |
| 2016-05-03 05:41:46,798 Node[0] Saved checkpoint to "cifar10/resnet-0102.params" | |
| 2016-05-03 05:41:48,744 Node[0] Epoch[101] Validation-accuracy=0.922476 | |
| 2016-05-03 05:41:59,332 Node[0] Epoch[102] Batch [50] Speed: 607.62 samples/sec Train-accuracy=0.997500 | |
| 2016-05-03 05:42:09,869 Node[0] Epoch[102] Batch [100] Speed: 607.42 samples/sec Train-accuracy=0.998125 | |
| 2016-05-03 05:42:20,271 Node[0] Epoch[102] Batch [150] Speed: 615.24 samples/sec Train-accuracy=0.997500 | |
| 2016-05-03 05:42:30,750 Node[0] Epoch[102] Batch [200] Speed: 610.77 samples/sec Train-accuracy=0.997500 | |
| 2016-05-03 05:42:41,331 Node[0] Epoch[102] Batch [250] Speed: 604.89 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:42:51,929 Node[0] Epoch[102] Batch [300] Speed: 603.89 samples/sec Train-accuracy=0.997500 | |
| 2016-05-03 05:43:02,461 Node[0] Epoch[102] Batch [350] Speed: 607.71 samples/sec Train-accuracy=0.996875 | |
| 2016-05-03 05:43:11,079 Node[0] Epoch[102] Resetting Data Iterator | |
| 2016-05-03 05:43:11,079 Node[0] Epoch[102] Time cost=82.335 | |
| 2016-05-03 05:43:11,244 Node[0] Saved checkpoint to "cifar10/resnet-0103.params" | |
| 2016-05-03 05:43:13,133 Node[0] Epoch[102] Validation-accuracy=0.921474 | |
| 2016-05-03 05:43:23,659 Node[0] Epoch[103] Batch [50] Speed: 611.23 samples/sec Train-accuracy=0.997656 | |
| 2016-05-03 05:43:34,160 Node[0] Epoch[103] Batch [100] Speed: 609.51 samples/sec Train-accuracy=0.997656 | |
| 2016-05-03 05:43:44,675 Node[0] Epoch[103] Batch [150] Speed: 608.66 samples/sec Train-accuracy=0.997188 | |
| 2016-05-03 05:43:55,228 Node[0] Epoch[103] Batch [200] Speed: 606.49 samples/sec Train-accuracy=0.997969 | |
| 2016-05-03 05:44:05,715 Node[0] Epoch[103] Batch [250] Speed: 610.30 samples/sec Train-accuracy=0.997812 | |
| 2016-05-03 05:44:16,255 Node[0] Epoch[103] Batch [300] Speed: 607.23 samples/sec Train-accuracy=0.997656 | |
| 2016-05-03 05:44:26,783 Node[0] Epoch[103] Batch [350] Speed: 607.91 samples/sec Train-accuracy=0.998125 | |
| 2016-05-03 05:44:35,171 Node[0] Epoch[103] Resetting Data Iterator | |
| 2016-05-03 05:44:35,172 Node[0] Epoch[103] Time cost=82.038 | |
| 2016-05-03 05:44:35,332 Node[0] Saved checkpoint to "cifar10/resnet-0104.params" | |
| 2016-05-03 05:44:37,244 Node[0] Epoch[103] Validation-accuracy=0.922877 | |
| 2016-05-03 05:44:47,862 Node[0] Epoch[104] Batch [50] Speed: 605.92 samples/sec Train-accuracy=0.996563 | |
| 2016-05-03 05:45:05,914 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 05:45:06,319 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 05:45:27,373 Node[0] Epoch[0] Batch [50] Speed: 646.04 samples/sec Train-accuracy=0.101094 | |
| 2016-05-03 05:45:37,463 Node[0] Epoch[0] Batch [100] Speed: 634.28 samples/sec Train-accuracy=0.105469 | |
| 2016-05-03 05:45:47,642 Node[0] Epoch[0] Batch [150] Speed: 628.76 samples/sec Train-accuracy=0.099062 | |
| 2016-05-03 05:45:58,079 Node[0] Epoch[0] Batch [200] Speed: 613.20 samples/sec Train-accuracy=0.099219 | |
| 2016-05-03 05:46:22,947 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 05:46:23,346 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 05:46:44,712 Node[0] Epoch[0] Batch [50] Speed: 644.94 samples/sec Train-accuracy=0.102813 | |
| 2016-05-03 05:47:38,606 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 05:48:53,921 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 05:49:00,024 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 05:49:00,371 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 05:49:21,285 Node[0] Epoch[0] Batch [50] Speed: 652.82 samples/sec Train-accuracy=0.101406 | |
| 2016-05-03 05:49:31,338 Node[0] Epoch[0] Batch [100] Speed: 636.63 samples/sec Train-accuracy=0.100781 | |
| 2016-05-03 05:49:41,426 Node[0] Epoch[0] Batch [150] Speed: 634.43 samples/sec Train-accuracy=0.100781 | |
| 2016-05-03 05:49:51,541 Node[0] Epoch[0] Batch [200] Speed: 632.76 samples/sec Train-accuracy=0.101250 | |
| 2016-05-03 05:50:01,610 Node[0] Epoch[0] Batch [250] Speed: 635.61 samples/sec Train-accuracy=0.093594 | |
| 2016-05-03 05:50:11,772 Node[0] Epoch[0] Batch [300] Speed: 629.83 samples/sec Train-accuracy=0.098281 | |
| 2016-05-03 05:50:22,445 Node[0] Epoch[0] Batch [350] Speed: 599.64 samples/sec Train-accuracy=0.095625 | |
| 2016-05-03 05:50:31,231 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 05:50:31,232 Node[0] Epoch[0] Time cost=80.014 | |
| 2016-05-03 05:50:31,398 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 05:50:33,570 Node[0] Epoch[0] Validation-accuracy=0.100079 | |
| 2016-05-03 05:50:44,306 Node[0] Epoch[1] Batch [50] Speed: 599.28 samples/sec Train-accuracy=0.097500 | |
| 2016-05-03 05:50:54,905 Node[0] Epoch[1] Batch [100] Speed: 603.87 samples/sec Train-accuracy=0.100469 | |
| 2016-05-03 05:51:05,447 Node[0] Epoch[1] Batch [150] Speed: 607.13 samples/sec Train-accuracy=0.096094 | |
| 2016-05-03 05:51:15,963 Node[0] Epoch[1] Batch [200] Speed: 608.61 samples/sec Train-accuracy=0.100625 | |
| 2016-05-03 05:51:26,524 Node[0] Epoch[1] Batch [250] Speed: 606.02 samples/sec Train-accuracy=0.102500 | |
| 2016-05-03 05:51:37,083 Node[0] Epoch[1] Batch [300] Speed: 606.09 samples/sec Train-accuracy=0.096094 | |
| 2016-05-03 05:51:47,627 Node[0] Epoch[1] Batch [350] Speed: 607.04 samples/sec Train-accuracy=0.097812 | |
| 2016-05-03 05:51:56,232 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 05:51:56,232 Node[0] Epoch[1] Time cost=82.662 | |
| 2016-05-03 05:51:56,399 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 05:51:58,311 Node[0] Epoch[1] Validation-accuracy=0.099960 | |
| 2016-05-03 05:52:09,016 Node[0] Epoch[2] Batch [50] Speed: 601.12 samples/sec Train-accuracy=0.097969 | |
| 2016-05-03 06:09:52,936 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 06:09:53,292 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 06:10:14,456 Node[0] Epoch[0] Batch [50] Speed: 652.67 samples/sec Train-accuracy=0.103281 | |
| 2016-05-03 06:10:24,410 Node[0] Epoch[0] Batch [100] Speed: 643.00 samples/sec Train-accuracy=0.099844 | |
| 2016-05-03 06:10:34,458 Node[0] Epoch[0] Batch [150] Speed: 636.97 samples/sec Train-accuracy=0.096875 | |
| 2016-05-03 06:10:44,612 Node[0] Epoch[0] Batch [200] Speed: 630.30 samples/sec Train-accuracy=0.100469 | |
| 2016-05-03 06:10:54,721 Node[0] Epoch[0] Batch [250] Speed: 633.12 samples/sec Train-accuracy=0.095781 | |
| 2016-05-03 06:11:04,794 Node[0] Epoch[0] Batch [300] Speed: 635.36 samples/sec Train-accuracy=0.099844 | |
| 2016-05-03 06:11:14,881 Node[0] Epoch[0] Batch [350] Speed: 634.53 samples/sec Train-accuracy=0.095625 | |
| 2016-05-03 06:11:23,174 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 06:11:23,175 Node[0] Epoch[0] Time cost=78.787 | |
| 2016-05-03 06:11:23,339 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 06:11:25,358 Node[0] Epoch[0] Validation-accuracy=0.100079 | |
| 2016-05-03 06:11:35,481 Node[0] Epoch[1] Batch [50] Speed: 635.49 samples/sec Train-accuracy=0.091719 | |
| 2016-05-03 06:11:45,881 Node[0] Epoch[1] Batch [100] Speed: 615.40 samples/sec Train-accuracy=0.098750 | |
| 2016-05-03 06:11:56,310 Node[0] Epoch[1] Batch [150] Speed: 613.68 samples/sec Train-accuracy=0.102969 | |
| 2016-05-03 06:12:06,760 Node[0] Epoch[1] Batch [200] Speed: 612.47 samples/sec Train-accuracy=0.100312 | |
| 2016-05-03 06:12:17,102 Node[0] Epoch[1] Batch [250] Speed: 618.85 samples/sec Train-accuracy=0.098906 | |
| 2016-05-03 06:12:27,459 Node[0] Epoch[1] Batch [300] Speed: 617.96 samples/sec Train-accuracy=0.096562 | |
| 2016-05-03 06:12:37,783 Node[0] Epoch[1] Batch [350] Speed: 619.91 samples/sec Train-accuracy=0.096875 | |
| 2016-05-03 06:12:46,290 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 06:12:46,291 Node[0] Epoch[1] Time cost=80.933 | |
| 2016-05-03 06:12:46,458 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 06:12:48,378 Node[0] Epoch[1] Validation-accuracy=0.100060 | |
| 2016-05-03 06:12:58,950 Node[0] Epoch[2] Batch [50] Speed: 608.55 samples/sec Train-accuracy=0.097031 | |
| 2016-05-03 06:13:09,305 Node[0] Epoch[2] Batch [100] Speed: 618.10 samples/sec Train-accuracy=0.106094 | |
| 2016-05-03 06:13:19,624 Node[0] Epoch[2] Batch [150] Speed: 620.22 samples/sec Train-accuracy=0.101562 | |
| 2016-05-03 06:13:47,008 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 06:13:47,451 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 06:14:10,673 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 06:14:11,003 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 06:14:32,152 Node[0] Epoch[0] Batch [50] Speed: 647.38 samples/sec Train-accuracy=0.097344 | |
| 2016-05-03 06:14:42,230 Node[0] Epoch[0] Batch [100] Speed: 635.09 samples/sec Train-accuracy=0.105000 | |
| 2016-05-03 06:14:52,317 Node[0] Epoch[0] Batch [150] Speed: 634.51 samples/sec Train-accuracy=0.103281 | |
| 2016-05-03 06:15:02,702 Node[0] Epoch[0] Batch [200] Speed: 616.29 samples/sec Train-accuracy=0.118125 | |
| 2016-05-03 06:15:13,598 Node[0] Epoch[0] Batch [250] Speed: 587.33 samples/sec Train-accuracy=0.111875 | |
| 2016-05-03 06:15:24,526 Node[0] Epoch[0] Batch [300] Speed: 585.67 samples/sec Train-accuracy=0.133281 | |
| 2016-05-03 06:15:35,351 Node[0] Epoch[0] Batch [350] Speed: 591.28 samples/sec Train-accuracy=0.173906 | |
| 2016-05-03 06:15:44,099 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 06:15:44,100 Node[0] Epoch[0] Time cost=82.105 | |
| 2016-05-03 06:15:44,269 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 06:15:46,523 Node[0] Epoch[0] Validation-accuracy=0.235265 | |
| 2016-05-03 06:15:57,277 Node[0] Epoch[1] Batch [50] Speed: 598.25 samples/sec Train-accuracy=0.238594 | |
| 2016-05-03 06:16:08,000 Node[0] Epoch[1] Batch [100] Speed: 596.88 samples/sec Train-accuracy=0.255937 | |
| 2016-05-03 07:59:59,409 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 08:01:30,747 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 08:02:17,599 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 08:02:32,917 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 08:02:41,717 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 08:04:34,816 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 08:04:35,159 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 08:04:56,058 Node[0] Epoch[0] Batch [50] Speed: 653.57 samples/sec Train-accuracy=0.110625 | |
| 2016-05-03 08:05:06,037 Node[0] Epoch[0] Batch [100] Speed: 641.36 samples/sec Train-accuracy=0.118906 | |
| 2016-05-03 08:05:16,040 Node[0] Epoch[0] Batch [150] Speed: 639.83 samples/sec Train-accuracy=0.126406 | |
| 2016-05-03 08:05:26,085 Node[0] Epoch[0] Batch [200] Speed: 637.12 samples/sec Train-accuracy=0.182188 | |
| 2016-05-03 08:05:36,179 Node[0] Epoch[0] Batch [250] Speed: 634.05 samples/sec Train-accuracy=0.229531 | |
| 2016-05-03 08:05:46,302 Node[0] Epoch[0] Batch [300] Speed: 632.28 samples/sec Train-accuracy=0.263125 | |
| 2016-05-03 08:05:56,389 Node[0] Epoch[0] Batch [350] Speed: 634.49 samples/sec Train-accuracy=0.278438 | |
| 2016-05-03 08:06:04,652 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 08:06:04,652 Node[0] Epoch[0] Time cost=78.722 | |
| 2016-05-03 08:06:04,812 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 08:06:06,859 Node[0] Epoch[0] Validation-accuracy=0.332278 | |
| 2016-05-03 08:06:17,391 Node[0] Epoch[1] Batch [50] Speed: 610.59 samples/sec Train-accuracy=0.319219 | |
| 2016-05-03 08:06:27,927 Node[0] Epoch[1] Batch [100] Speed: 607.47 samples/sec Train-accuracy=0.352812 | |
| 2016-05-03 08:06:38,292 Node[0] Epoch[1] Batch [150] Speed: 617.50 samples/sec Train-accuracy=0.368125 | |
| 2016-05-03 08:06:48,660 Node[0] Epoch[1] Batch [200] Speed: 617.29 samples/sec Train-accuracy=0.376250 | |
| 2016-05-03 08:06:58,988 Node[0] Epoch[1] Batch [250] Speed: 619.68 samples/sec Train-accuracy=0.401875 | |
| 2016-05-03 08:07:09,340 Node[0] Epoch[1] Batch [300] Speed: 618.23 samples/sec Train-accuracy=0.407500 | |
| 2016-05-03 08:07:19,856 Node[0] Epoch[1] Batch [350] Speed: 608.64 samples/sec Train-accuracy=0.416875 | |
| 2016-05-03 08:07:28,415 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 08:07:28,415 Node[0] Epoch[1] Time cost=81.556 | |
| 2016-05-03 08:07:28,580 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 08:07:30,508 Node[0] Epoch[1] Validation-accuracy=0.438802 | |
| 2016-05-03 08:07:41,054 Node[0] Epoch[2] Batch [50] Speed: 610.12 samples/sec Train-accuracy=0.440625 | |
| 2016-05-03 08:07:51,470 Node[0] Epoch[2] Batch [100] Speed: 614.42 samples/sec Train-accuracy=0.466094 | |
| 2016-05-03 08:08:01,809 Node[0] Epoch[2] Batch [150] Speed: 619.03 samples/sec Train-accuracy=0.472187 | |
| 2016-05-03 08:08:12,157 Node[0] Epoch[2] Batch [200] Speed: 618.51 samples/sec Train-accuracy=0.484687 | |
| 2016-05-03 08:08:22,606 Node[0] Epoch[2] Batch [250] Speed: 612.52 samples/sec Train-accuracy=0.497344 | |
| 2016-05-03 08:08:33,007 Node[0] Epoch[2] Batch [300] Speed: 615.33 samples/sec Train-accuracy=0.511875 | |
| 2016-05-03 08:08:43,436 Node[0] Epoch[2] Batch [350] Speed: 613.70 samples/sec Train-accuracy=0.514062 | |
| 2016-05-03 08:08:51,762 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 08:08:51,762 Node[0] Epoch[2] Time cost=81.254 | |
| 2016-05-03 08:08:51,928 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 08:08:53,905 Node[0] Epoch[2] Validation-accuracy=0.528145 | |
| 2016-05-03 08:09:04,470 Node[0] Epoch[3] Batch [50] Speed: 608.99 samples/sec Train-accuracy=0.531094 | |
| 2016-05-03 08:09:14,827 Node[0] Epoch[3] Batch [100] Speed: 617.96 samples/sec Train-accuracy=0.552500 | |
| 2016-05-03 08:09:25,225 Node[0] Epoch[3] Batch [150] Speed: 615.54 samples/sec Train-accuracy=0.565156 | |
| 2016-05-03 08:09:35,685 Node[0] Epoch[3] Batch [200] Speed: 611.83 samples/sec Train-accuracy=0.567656 | |
| 2016-05-03 08:09:46,108 Node[0] Epoch[3] Batch [250] Speed: 614.06 samples/sec Train-accuracy=0.573906 | |
| 2016-05-03 08:09:56,547 Node[0] Epoch[3] Batch [300] Speed: 613.12 samples/sec Train-accuracy=0.586719 | |
| 2016-05-03 08:10:06,958 Node[0] Epoch[3] Batch [350] Speed: 614.73 samples/sec Train-accuracy=0.594063 | |
| 2016-05-03 08:10:15,481 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 08:10:15,481 Node[0] Epoch[3] Time cost=81.576 | |
| 2016-05-03 08:10:15,645 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 08:10:17,641 Node[0] Epoch[3] Validation-accuracy=0.573017 | |
| 2016-05-03 08:10:28,169 Node[0] Epoch[4] Batch [50] Speed: 611.16 samples/sec Train-accuracy=0.604531 | |
| 2016-05-03 08:10:38,636 Node[0] Epoch[4] Batch [100] Speed: 611.50 samples/sec Train-accuracy=0.622656 | |
| 2016-05-03 08:10:49,065 Node[0] Epoch[4] Batch [150] Speed: 613.69 samples/sec Train-accuracy=0.626094 | |
| 2016-05-03 08:10:59,519 Node[0] Epoch[4] Batch [200] Speed: 612.20 samples/sec Train-accuracy=0.624844 | |
| 2016-05-03 08:11:09,981 Node[0] Epoch[4] Batch [250] Speed: 611.78 samples/sec Train-accuracy=0.629687 | |
| 2016-05-03 08:11:20,404 Node[0] Epoch[4] Batch [300] Speed: 614.01 samples/sec Train-accuracy=0.636875 | |
| 2016-05-03 08:11:30,813 Node[0] Epoch[4] Batch [350] Speed: 614.89 samples/sec Train-accuracy=0.643281 | |
| 2016-05-03 08:11:39,375 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 08:11:39,376 Node[0] Epoch[4] Time cost=81.734 | |
| 2016-05-03 08:11:39,540 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 08:11:41,499 Node[0] Epoch[4] Validation-accuracy=0.612380 | |
| 2016-05-03 08:11:51,981 Node[0] Epoch[5] Batch [50] Speed: 613.92 samples/sec Train-accuracy=0.636875 | |
| 2016-05-03 08:12:02,420 Node[0] Epoch[5] Batch [100] Speed: 613.08 samples/sec Train-accuracy=0.657188 | |
| 2016-05-03 08:12:12,873 Node[0] Epoch[5] Batch [150] Speed: 612.30 samples/sec Train-accuracy=0.671250 | |
| 2016-05-03 08:12:23,323 Node[0] Epoch[5] Batch [200] Speed: 612.43 samples/sec Train-accuracy=0.659687 | |
| 2016-05-03 08:12:33,781 Node[0] Epoch[5] Batch [250] Speed: 611.99 samples/sec Train-accuracy=0.667656 | |
| 2016-05-03 08:12:44,239 Node[0] Epoch[5] Batch [300] Speed: 612.01 samples/sec Train-accuracy=0.669531 | |
| 2016-05-03 08:12:54,714 Node[0] Epoch[5] Batch [350] Speed: 611.00 samples/sec Train-accuracy=0.679063 | |
| 2016-05-03 08:13:03,033 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 08:13:03,033 Node[0] Epoch[5] Time cost=81.534 | |
| 2016-05-03 08:13:03,197 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 08:13:05,125 Node[0] Epoch[5] Validation-accuracy=0.660958 | |
| 2016-05-03 08:13:15,665 Node[0] Epoch[6] Batch [50] Speed: 610.43 samples/sec Train-accuracy=0.683125 | |
| 2016-05-03 08:13:26,105 Node[0] Epoch[6] Batch [100] Speed: 613.06 samples/sec Train-accuracy=0.682813 | |
| 2016-05-03 08:13:36,545 Node[0] Epoch[6] Batch [150] Speed: 613.03 samples/sec Train-accuracy=0.700156 | |
| 2016-05-03 08:13:46,978 Node[0] Epoch[6] Batch [200] Speed: 613.46 samples/sec Train-accuracy=0.694375 | |
| 2016-05-03 08:13:57,500 Node[0] Epoch[6] Batch [250] Speed: 608.27 samples/sec Train-accuracy=0.697500 | |
| 2016-05-03 08:14:07,959 Node[0] Epoch[6] Batch [300] Speed: 611.88 samples/sec Train-accuracy=0.701875 | |
| 2016-05-03 08:14:18,437 Node[0] Epoch[6] Batch [350] Speed: 610.84 samples/sec Train-accuracy=0.715469 | |
| 2016-05-03 08:14:27,022 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 08:14:27,022 Node[0] Epoch[6] Time cost=81.896 | |
| 2016-05-03 08:14:27,185 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 08:14:29,145 Node[0] Epoch[6] Validation-accuracy=0.705529 | |
| 2016-05-03 08:14:39,617 Node[0] Epoch[7] Batch [50] Speed: 614.37 samples/sec Train-accuracy=0.705781 | |
| 2016-05-03 08:14:50,103 Node[0] Epoch[7] Batch [100] Speed: 610.38 samples/sec Train-accuracy=0.711250 | |
| 2016-05-03 08:15:00,552 Node[0] Epoch[7] Batch [150] Speed: 612.49 samples/sec Train-accuracy=0.734062 | |
| 2016-05-03 08:15:10,979 Node[0] Epoch[7] Batch [200] Speed: 613.83 samples/sec Train-accuracy=0.728281 | |
| 2016-05-03 08:15:21,445 Node[0] Epoch[7] Batch [250] Speed: 611.49 samples/sec Train-accuracy=0.729531 | |
| 2016-05-03 08:15:31,902 Node[0] Epoch[7] Batch [300] Speed: 612.03 samples/sec Train-accuracy=0.733125 | |
| 2016-05-03 08:15:42,383 Node[0] Epoch[7] Batch [350] Speed: 610.69 samples/sec Train-accuracy=0.736094 | |
| 2016-05-03 08:15:50,722 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 08:15:50,723 Node[0] Epoch[7] Time cost=81.578 | |
| 2016-05-03 08:15:50,883 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 08:15:52,826 Node[0] Epoch[7] Validation-accuracy=0.728165 | |
| 2016-05-03 08:16:03,344 Node[0] Epoch[8] Batch [50] Speed: 611.78 samples/sec Train-accuracy=0.732344 | |
| 2016-05-03 08:16:13,827 Node[0] Epoch[8] Batch [100] Speed: 610.50 samples/sec Train-accuracy=0.741250 | |
| 2016-05-03 08:16:24,278 Node[0] Epoch[8] Batch [150] Speed: 612.41 samples/sec Train-accuracy=0.757344 | |
| 2016-05-03 08:16:34,724 Node[0] Epoch[8] Batch [200] Speed: 612.71 samples/sec Train-accuracy=0.749844 | |
| 2016-05-03 08:16:45,175 Node[0] Epoch[8] Batch [250] Speed: 612.37 samples/sec Train-accuracy=0.745469 | |
| 2016-05-03 08:16:55,652 Node[0] Epoch[8] Batch [300] Speed: 610.90 samples/sec Train-accuracy=0.749687 | |
| 2016-05-03 08:17:06,104 Node[0] Epoch[8] Batch [350] Speed: 612.29 samples/sec Train-accuracy=0.752500 | |
| 2016-05-03 08:17:14,725 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 08:17:14,726 Node[0] Epoch[8] Time cost=81.899 | |
| 2016-05-03 08:17:14,891 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 08:17:17,042 Node[0] Epoch[8] Validation-accuracy=0.728936 | |
| 2016-05-03 08:17:27,524 Node[0] Epoch[9] Batch [50] Speed: 613.85 samples/sec Train-accuracy=0.750313 | |
| 2016-05-03 08:17:38,010 Node[0] Epoch[9] Batch [100] Speed: 610.34 samples/sec Train-accuracy=0.766094 | |
| 2016-05-03 08:17:48,506 Node[0] Epoch[9] Batch [150] Speed: 609.77 samples/sec Train-accuracy=0.774375 | |
| 2016-05-03 08:17:58,986 Node[0] Epoch[9] Batch [200] Speed: 610.69 samples/sec Train-accuracy=0.761875 | |
| 2016-05-03 08:18:09,468 Node[0] Epoch[9] Batch [250] Speed: 610.61 samples/sec Train-accuracy=0.761875 | |
| 2016-05-03 08:18:19,940 Node[0] Epoch[9] Batch [300] Speed: 611.15 samples/sec Train-accuracy=0.764219 | |
| 2016-05-03 08:18:30,364 Node[0] Epoch[9] Batch [350] Speed: 613.97 samples/sec Train-accuracy=0.775625 | |
| 2016-05-03 08:18:38,909 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 08:18:38,909 Node[0] Epoch[9] Time cost=81.868 | |
| 2016-05-03 08:18:39,073 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 08:18:41,014 Node[0] Epoch[9] Validation-accuracy=0.748698 | |
| 2016-05-03 08:18:51,568 Node[0] Epoch[10] Batch [50] Speed: 609.58 samples/sec Train-accuracy=0.769062 | |
| 2016-05-03 08:19:02,020 Node[0] Epoch[10] Batch [100] Speed: 612.31 samples/sec Train-accuracy=0.778594 | |
| 2016-05-03 08:19:12,367 Node[0] Epoch[10] Batch [150] Speed: 618.55 samples/sec Train-accuracy=0.786094 | |
| 2016-05-03 08:19:22,752 Node[0] Epoch[10] Batch [200] Speed: 616.32 samples/sec Train-accuracy=0.781563 | |
| 2016-05-03 08:19:33,202 Node[0] Epoch[10] Batch [250] Speed: 612.43 samples/sec Train-accuracy=0.776094 | |
| 2016-05-03 08:19:43,651 Node[0] Epoch[10] Batch [300] Speed: 612.55 samples/sec Train-accuracy=0.784219 | |
| 2016-05-03 08:19:54,094 Node[0] Epoch[10] Batch [350] Speed: 612.86 samples/sec Train-accuracy=0.782500 | |
| 2016-05-03 08:20:02,416 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 08:20:02,416 Node[0] Epoch[10] Time cost=81.403 | |
| 2016-05-03 08:20:02,578 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 08:20:04,548 Node[0] Epoch[10] Validation-accuracy=0.758313 | |
| 2016-05-03 08:20:15,096 Node[0] Epoch[11] Batch [50] Speed: 609.90 samples/sec Train-accuracy=0.780625 | |
| 2016-05-03 08:20:25,605 Node[0] Epoch[11] Batch [100] Speed: 609.05 samples/sec Train-accuracy=0.787656 | |
| 2016-05-03 08:20:36,107 Node[0] Epoch[11] Batch [150] Speed: 609.40 samples/sec Train-accuracy=0.803281 | |
| 2016-05-03 08:20:46,597 Node[0] Epoch[11] Batch [200] Speed: 610.15 samples/sec Train-accuracy=0.789844 | |
| 2016-05-03 08:20:57,088 Node[0] Epoch[11] Batch [250] Speed: 610.06 samples/sec Train-accuracy=0.790156 | |
| 2016-05-03 08:21:07,538 Node[0] Epoch[11] Batch [300] Speed: 612.47 samples/sec Train-accuracy=0.798438 | |
| 2016-05-03 08:21:17,996 Node[0] Epoch[11] Batch [350] Speed: 611.98 samples/sec Train-accuracy=0.803438 | |
| 2016-05-03 08:21:26,590 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 08:21:26,591 Node[0] Epoch[11] Time cost=82.043 | |
| 2016-05-03 08:21:26,757 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 08:21:28,707 Node[0] Epoch[11] Validation-accuracy=0.778746 | |
| 2016-05-03 08:21:39,238 Node[0] Epoch[12] Batch [50] Speed: 610.97 samples/sec Train-accuracy=0.805156 | |
| 2016-05-03 08:21:49,670 Node[0] Epoch[12] Batch [100] Speed: 613.51 samples/sec Train-accuracy=0.807969 | |
| 2016-05-03 08:22:00,118 Node[0] Epoch[12] Batch [150] Speed: 612.57 samples/sec Train-accuracy=0.811719 | |
| 2016-05-03 08:22:10,583 Node[0] Epoch[12] Batch [200] Speed: 611.55 samples/sec Train-accuracy=0.807500 | |
| 2016-05-03 08:22:21,031 Node[0] Epoch[12] Batch [250] Speed: 612.57 samples/sec Train-accuracy=0.795625 | |
| 2016-05-03 08:22:31,462 Node[0] Epoch[12] Batch [300] Speed: 613.62 samples/sec Train-accuracy=0.806562 | |
| 2016-05-03 08:22:41,938 Node[0] Epoch[12] Batch [350] Speed: 610.92 samples/sec Train-accuracy=0.805156 | |
| 2016-05-03 08:22:50,500 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 08:22:50,501 Node[0] Epoch[12] Time cost=81.794 | |
| 2016-05-03 08:22:50,664 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 08:22:52,579 Node[0] Epoch[12] Validation-accuracy=0.770333 | |
| 2016-05-03 08:23:03,160 Node[0] Epoch[13] Batch [50] Speed: 608.17 samples/sec Train-accuracy=0.807500 | |
| 2016-05-03 08:23:13,598 Node[0] Epoch[13] Batch [100] Speed: 613.18 samples/sec Train-accuracy=0.819375 | |
| 2016-05-03 08:23:24,091 Node[0] Epoch[13] Batch [150] Speed: 609.93 samples/sec Train-accuracy=0.821094 | |
| 2016-05-03 08:23:34,545 Node[0] Epoch[13] Batch [200] Speed: 612.24 samples/sec Train-accuracy=0.809219 | |
| 2016-05-03 08:23:44,998 Node[0] Epoch[13] Batch [250] Speed: 612.28 samples/sec Train-accuracy=0.814063 | |
| 2016-05-03 08:23:55,463 Node[0] Epoch[13] Batch [300] Speed: 611.58 samples/sec Train-accuracy=0.815781 | |
| 2016-05-03 08:24:05,903 Node[0] Epoch[13] Batch [350] Speed: 613.03 samples/sec Train-accuracy=0.820625 | |
| 2016-05-03 08:24:14,256 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 08:24:14,257 Node[0] Epoch[13] Time cost=81.678 | |
| 2016-05-03 08:24:14,425 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 08:24:16,372 Node[0] Epoch[13] Validation-accuracy=0.793570 | |
| 2016-05-03 08:24:26,979 Node[0] Epoch[14] Batch [50] Speed: 606.52 samples/sec Train-accuracy=0.812656 | |
| 2016-05-03 08:24:37,492 Node[0] Epoch[14] Batch [100] Speed: 608.82 samples/sec Train-accuracy=0.823906 | |
| 2016-05-03 08:24:47,928 Node[0] Epoch[14] Batch [150] Speed: 613.27 samples/sec Train-accuracy=0.829375 | |
| 2016-05-03 08:24:58,406 Node[0] Epoch[14] Batch [200] Speed: 610.82 samples/sec Train-accuracy=0.818438 | |
| 2016-05-03 08:25:08,866 Node[0] Epoch[14] Batch [250] Speed: 611.88 samples/sec Train-accuracy=0.817187 | |
| 2016-05-03 08:25:19,295 Node[0] Epoch[14] Batch [300] Speed: 613.68 samples/sec Train-accuracy=0.821875 | |
| 2016-05-03 08:25:29,780 Node[0] Epoch[14] Batch [350] Speed: 610.39 samples/sec Train-accuracy=0.827969 | |
| 2016-05-03 08:25:38,353 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 08:25:38,353 Node[0] Epoch[14] Time cost=81.981 | |
| 2016-05-03 08:25:38,516 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 08:25:40,434 Node[0] Epoch[14] Validation-accuracy=0.795373 | |
| 2016-05-03 08:25:51,040 Node[0] Epoch[15] Batch [50] Speed: 606.66 samples/sec Train-accuracy=0.834219 | |
| 2016-05-03 08:26:01,566 Node[0] Epoch[15] Batch [100] Speed: 608.03 samples/sec Train-accuracy=0.832812 | |
| 2016-05-03 08:26:12,055 Node[0] Epoch[15] Batch [150] Speed: 610.22 samples/sec Train-accuracy=0.834531 | |
| 2016-05-03 08:26:22,507 Node[0] Epoch[15] Batch [200] Speed: 612.35 samples/sec Train-accuracy=0.826875 | |
| 2016-05-03 08:26:32,987 Node[0] Epoch[15] Batch [250] Speed: 610.71 samples/sec Train-accuracy=0.829375 | |
| 2016-05-03 08:26:43,454 Node[0] Epoch[15] Batch [300] Speed: 611.41 samples/sec Train-accuracy=0.836562 | |
| 2016-05-03 08:26:53,897 Node[0] Epoch[15] Batch [350] Speed: 612.86 samples/sec Train-accuracy=0.838281 | |
| 2016-05-03 08:27:02,251 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 08:27:02,252 Node[0] Epoch[15] Time cost=81.818 | |
| 2016-05-03 08:27:02,416 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 08:27:04,364 Node[0] Epoch[15] Validation-accuracy=0.792568 | |
| 2016-05-03 08:27:15,022 Node[0] Epoch[16] Batch [50] Speed: 603.65 samples/sec Train-accuracy=0.836094 | |
| 2016-05-03 08:27:25,489 Node[0] Epoch[16] Batch [100] Speed: 611.47 samples/sec Train-accuracy=0.836562 | |
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| 2016-05-03 08:28:07,192 Node[0] Epoch[16] Batch [300] Speed: 613.39 samples/sec Train-accuracy=0.843594 | |
| 2016-05-03 08:28:17,650 Node[0] Epoch[16] Batch [350] Speed: 611.95 samples/sec Train-accuracy=0.839688 | |
| 2016-05-03 08:28:26,311 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 08:28:26,311 Node[0] Epoch[16] Time cost=81.947 | |
| 2016-05-03 08:28:26,477 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 08:28:28,656 Node[0] Epoch[16] Validation-accuracy=0.807358 | |
| 2016-05-03 08:28:39,216 Node[0] Epoch[17] Batch [50] Speed: 609.22 samples/sec Train-accuracy=0.840469 | |
| 2016-05-03 08:28:49,755 Node[0] Epoch[17] Batch [100] Speed: 607.32 samples/sec Train-accuracy=0.843750 | |
| 2016-05-03 08:29:00,188 Node[0] Epoch[17] Batch [150] Speed: 613.45 samples/sec Train-accuracy=0.853437 | |
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| 2016-05-03 08:29:31,500 Node[0] Epoch[17] Batch [300] Speed: 614.30 samples/sec Train-accuracy=0.844688 | |
| 2016-05-03 08:29:42,007 Node[0] Epoch[17] Batch [350] Speed: 609.14 samples/sec Train-accuracy=0.847969 | |
| 2016-05-03 08:29:50,639 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 08:29:50,640 Node[0] Epoch[17] Time cost=81.983 | |
| 2016-05-03 08:29:50,804 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 08:29:52,727 Node[0] Epoch[17] Validation-accuracy=0.812400 | |
| 2016-05-03 08:30:03,285 Node[0] Epoch[18] Batch [50] Speed: 609.33 samples/sec Train-accuracy=0.847187 | |
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| 2016-05-03 08:31:06,115 Node[0] Epoch[18] Batch [350] Speed: 614.06 samples/sec Train-accuracy=0.857969 | |
| 2016-05-03 08:31:14,474 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 08:31:14,474 Node[0] Epoch[18] Time cost=81.747 | |
| 2016-05-03 08:31:14,637 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 08:31:16,585 Node[0] Epoch[18] Validation-accuracy=0.813201 | |
| 2016-05-03 08:31:27,168 Node[0] Epoch[19] Batch [50] Speed: 607.97 samples/sec Train-accuracy=0.844219 | |
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| 2016-05-03 08:32:09,071 Node[0] Epoch[19] Batch [250] Speed: 612.05 samples/sec Train-accuracy=0.855313 | |
| 2016-05-03 08:32:19,554 Node[0] Epoch[19] Batch [300] Speed: 610.53 samples/sec Train-accuracy=0.859219 | |
| 2016-05-03 08:32:29,967 Node[0] Epoch[19] Batch [350] Speed: 614.63 samples/sec Train-accuracy=0.857812 | |
| 2016-05-03 08:32:38,574 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 08:32:38,575 Node[0] Epoch[19] Time cost=81.989 | |
| 2016-05-03 08:32:38,739 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 08:32:40,688 Node[0] Epoch[19] Validation-accuracy=0.802183 | |
| 2016-05-03 08:32:51,349 Node[0] Epoch[20] Batch [50] Speed: 603.50 samples/sec Train-accuracy=0.857656 | |
| 2016-05-03 08:33:01,808 Node[0] Epoch[20] Batch [100] Speed: 611.97 samples/sec Train-accuracy=0.859844 | |
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| 2016-05-03 08:33:54,178 Node[0] Epoch[20] Batch [350] Speed: 607.18 samples/sec Train-accuracy=0.864531 | |
| 2016-05-03 08:34:02,833 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 08:34:02,834 Node[0] Epoch[20] Time cost=82.145 | |
| 2016-05-03 08:34:03,000 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 08:34:04,952 Node[0] Epoch[20] Validation-accuracy=0.820613 | |
| 2016-05-03 08:34:15,414 Node[0] Epoch[21] Batch [50] Speed: 614.88 samples/sec Train-accuracy=0.859219 | |
| 2016-05-03 08:34:25,926 Node[0] Epoch[21] Batch [100] Speed: 608.81 samples/sec Train-accuracy=0.858750 | |
| 2016-05-03 08:34:36,376 Node[0] Epoch[21] Batch [150] Speed: 612.48 samples/sec Train-accuracy=0.867500 | |
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| 2016-05-03 08:34:57,261 Node[0] Epoch[21] Batch [250] Speed: 612.74 samples/sec Train-accuracy=0.871719 | |
| 2016-05-03 08:35:07,816 Node[0] Epoch[21] Batch [300] Speed: 606.36 samples/sec Train-accuracy=0.865938 | |
| 2016-05-03 08:35:18,382 Node[0] Epoch[21] Batch [350] Speed: 605.71 samples/sec Train-accuracy=0.862500 | |
| 2016-05-03 08:35:26,804 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-03 08:35:26,804 Node[0] Epoch[21] Time cost=81.853 | |
| 2016-05-03 08:35:26,968 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-03 08:35:28,906 Node[0] Epoch[21] Validation-accuracy=0.822216 | |
| 2016-05-03 08:35:39,456 Node[0] Epoch[22] Batch [50] Speed: 609.82 samples/sec Train-accuracy=0.860000 | |
| 2016-05-03 08:35:49,857 Node[0] Epoch[22] Batch [100] Speed: 615.32 samples/sec Train-accuracy=0.871875 | |
| 2016-05-03 08:36:00,315 Node[0] Epoch[22] Batch [150] Speed: 612.01 samples/sec Train-accuracy=0.868750 | |
| 2016-05-03 08:36:10,895 Node[0] Epoch[22] Batch [200] Speed: 604.95 samples/sec Train-accuracy=0.867969 | |
| 2016-05-03 08:36:21,467 Node[0] Epoch[22] Batch [250] Speed: 605.39 samples/sec Train-accuracy=0.867344 | |
| 2016-05-03 08:36:32,029 Node[0] Epoch[22] Batch [300] Speed: 605.96 samples/sec Train-accuracy=0.871406 | |
| 2016-05-03 08:36:42,572 Node[0] Epoch[22] Batch [350] Speed: 607.06 samples/sec Train-accuracy=0.871406 | |
| 2016-05-03 08:36:51,224 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-03 08:36:51,224 Node[0] Epoch[22] Time cost=82.318 | |
| 2016-05-03 08:36:51,393 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-03 08:36:53,305 Node[0] Epoch[22] Validation-accuracy=0.807692 | |
| 2016-05-03 08:37:03,830 Node[0] Epoch[23] Batch [50] Speed: 611.29 samples/sec Train-accuracy=0.872344 | |
| 2016-05-03 08:37:14,328 Node[0] Epoch[23] Batch [100] Speed: 609.64 samples/sec Train-accuracy=0.877812 | |
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| 2016-05-03 08:37:35,197 Node[0] Epoch[23] Batch [200] Speed: 613.98 samples/sec Train-accuracy=0.876094 | |
| 2016-05-03 08:37:45,694 Node[0] Epoch[23] Batch [250] Speed: 609.74 samples/sec Train-accuracy=0.869687 | |
| 2016-05-03 08:37:56,250 Node[0] Epoch[23] Batch [300] Speed: 606.30 samples/sec Train-accuracy=0.875313 | |
| 2016-05-03 08:38:06,812 Node[0] Epoch[23] Batch [350] Speed: 605.96 samples/sec Train-accuracy=0.877500 | |
| 2016-05-03 08:38:15,212 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-03 08:38:15,212 Node[0] Epoch[23] Time cost=81.906 | |
| 2016-05-03 08:38:15,377 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-03 08:38:17,310 Node[0] Epoch[23] Validation-accuracy=0.829828 | |
| 2016-05-03 08:38:27,886 Node[0] Epoch[24] Batch [50] Speed: 608.30 samples/sec Train-accuracy=0.872188 | |
| 2016-05-03 08:38:38,421 Node[0] Epoch[24] Batch [100] Speed: 607.55 samples/sec Train-accuracy=0.876563 | |
| 2016-05-03 08:38:48,911 Node[0] Epoch[24] Batch [150] Speed: 610.08 samples/sec Train-accuracy=0.878750 | |
| 2016-05-03 08:38:59,386 Node[0] Epoch[24] Batch [200] Speed: 611.02 samples/sec Train-accuracy=0.878906 | |
| 2016-05-03 08:39:09,921 Node[0] Epoch[24] Batch [250] Speed: 607.51 samples/sec Train-accuracy=0.870938 | |
| 2016-05-03 08:39:20,477 Node[0] Epoch[24] Batch [300] Speed: 606.30 samples/sec Train-accuracy=0.882500 | |
| 2016-05-03 08:39:31,014 Node[0] Epoch[24] Batch [350] Speed: 607.43 samples/sec Train-accuracy=0.875938 | |
| 2016-05-03 08:39:39,664 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-03 08:39:39,664 Node[0] Epoch[24] Time cost=82.354 | |
| 2016-05-03 08:39:39,833 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-03 08:39:41,956 Node[0] Epoch[24] Validation-accuracy=0.827037 | |
| 2016-05-03 08:39:52,509 Node[0] Epoch[25] Batch [50] Speed: 609.58 samples/sec Train-accuracy=0.877969 | |
| 2016-05-03 08:40:03,044 Node[0] Epoch[25] Batch [100] Speed: 607.53 samples/sec Train-accuracy=0.879375 | |
| 2016-05-03 08:40:13,553 Node[0] Epoch[25] Batch [150] Speed: 609.03 samples/sec Train-accuracy=0.874219 | |
| 2016-05-03 08:40:24,057 Node[0] Epoch[25] Batch [200] Speed: 609.29 samples/sec Train-accuracy=0.873906 | |
| 2016-05-03 08:40:34,592 Node[0] Epoch[25] Batch [250] Speed: 607.48 samples/sec Train-accuracy=0.876250 | |
| 2016-05-03 08:40:45,155 Node[0] Epoch[25] Batch [300] Speed: 605.94 samples/sec Train-accuracy=0.880625 | |
| 2016-05-03 08:40:55,713 Node[0] Epoch[25] Batch [350] Speed: 606.17 samples/sec Train-accuracy=0.882656 | |
| 2016-05-03 08:41:04,326 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-03 08:41:04,326 Node[0] Epoch[25] Time cost=82.370 | |
| 2016-05-03 08:41:04,496 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-03 08:41:06,470 Node[0] Epoch[25] Validation-accuracy=0.827123 | |
| 2016-05-03 08:41:17,028 Node[0] Epoch[26] Batch [50] Speed: 609.34 samples/sec Train-accuracy=0.875781 | |
| 2016-05-03 08:41:27,586 Node[0] Epoch[26] Batch [100] Speed: 606.23 samples/sec Train-accuracy=0.881406 | |
| 2016-05-03 08:41:38,096 Node[0] Epoch[26] Batch [150] Speed: 608.97 samples/sec Train-accuracy=0.885625 | |
| 2016-05-03 08:41:48,516 Node[0] Epoch[26] Batch [200] Speed: 614.21 samples/sec Train-accuracy=0.880469 | |
| 2016-05-03 08:41:59,005 Node[0] Epoch[26] Batch [250] Speed: 610.16 samples/sec Train-accuracy=0.877969 | |
| 2016-05-03 08:42:09,553 Node[0] Epoch[26] Batch [300] Speed: 606.76 samples/sec Train-accuracy=0.890312 | |
| 2016-05-03 08:42:20,124 Node[0] Epoch[26] Batch [350] Speed: 605.47 samples/sec Train-accuracy=0.889062 | |
| 2016-05-03 08:42:28,551 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-03 08:42:28,551 Node[0] Epoch[26] Time cost=82.081 | |
| 2016-05-03 08:42:28,721 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-03 08:42:30,665 Node[0] Epoch[26] Validation-accuracy=0.837941 | |
| 2016-05-03 08:42:41,276 Node[0] Epoch[27] Batch [50] Speed: 606.33 samples/sec Train-accuracy=0.875625 | |
| 2016-05-03 08:42:51,868 Node[0] Epoch[27] Batch [100] Speed: 604.26 samples/sec Train-accuracy=0.883125 | |
| 2016-05-03 08:43:02,434 Node[0] Epoch[27] Batch [150] Speed: 605.72 samples/sec Train-accuracy=0.888594 | |
| 2016-05-03 08:43:12,980 Node[0] Epoch[27] Batch [200] Speed: 606.86 samples/sec Train-accuracy=0.886719 | |
| 2016-05-03 08:43:23,547 Node[0] Epoch[27] Batch [250] Speed: 605.71 samples/sec Train-accuracy=0.886406 | |
| 2016-05-03 08:43:34,094 Node[0] Epoch[27] Batch [300] Speed: 606.83 samples/sec Train-accuracy=0.889219 | |
| 2016-05-03 08:43:44,657 Node[0] Epoch[27] Batch [350] Speed: 605.91 samples/sec Train-accuracy=0.887344 | |
| 2016-05-03 08:43:53,304 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-03 08:43:53,304 Node[0] Epoch[27] Time cost=82.639 | |
| 2016-05-03 08:43:53,472 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-03 08:43:55,425 Node[0] Epoch[27] Validation-accuracy=0.822817 | |
| 2016-05-03 08:44:05,964 Node[0] Epoch[28] Batch [50] Speed: 610.45 samples/sec Train-accuracy=0.888594 | |
| 2016-05-03 08:44:16,475 Node[0] Epoch[28] Batch [100] Speed: 608.91 samples/sec Train-accuracy=0.891719 | |
| 2016-05-03 08:44:27,013 Node[0] Epoch[28] Batch [150] Speed: 607.33 samples/sec Train-accuracy=0.895000 | |
| 2016-05-03 08:44:37,608 Node[0] Epoch[28] Batch [200] Speed: 604.08 samples/sec Train-accuracy=0.879531 | |
| 2016-05-03 08:44:48,194 Node[0] Epoch[28] Batch [250] Speed: 604.60 samples/sec Train-accuracy=0.889062 | |
| 2016-05-03 08:44:58,757 Node[0] Epoch[28] Batch [300] Speed: 605.90 samples/sec Train-accuracy=0.898594 | |
| 2016-05-03 08:45:09,291 Node[0] Epoch[28] Batch [350] Speed: 607.56 samples/sec Train-accuracy=0.890156 | |
| 2016-05-03 08:45:17,913 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-03 08:45:17,913 Node[0] Epoch[28] Time cost=82.488 | |
| 2016-05-03 08:45:18,082 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-03 08:45:20,036 Node[0] Epoch[28] Validation-accuracy=0.841446 | |
| 2016-05-03 08:45:30,595 Node[0] Epoch[29] Batch [50] Speed: 609.44 samples/sec Train-accuracy=0.891875 | |
| 2016-05-03 08:45:41,152 Node[0] Epoch[29] Batch [100] Speed: 606.23 samples/sec Train-accuracy=0.896250 | |
| 2016-05-03 08:45:51,703 Node[0] Epoch[29] Batch [150] Speed: 606.64 samples/sec Train-accuracy=0.887969 | |
| 2016-05-03 08:46:02,224 Node[0] Epoch[29] Batch [200] Speed: 608.33 samples/sec Train-accuracy=0.890938 | |
| 2016-05-03 08:46:12,722 Node[0] Epoch[29] Batch [250] Speed: 609.65 samples/sec Train-accuracy=0.891094 | |
| 2016-05-03 08:46:23,259 Node[0] Epoch[29] Batch [300] Speed: 607.39 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 08:46:33,796 Node[0] Epoch[29] Batch [350] Speed: 607.41 samples/sec Train-accuracy=0.895000 | |
| 2016-05-03 08:46:42,204 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-03 08:46:42,204 Node[0] Epoch[29] Time cost=82.168 | |
| 2016-05-03 08:46:42,368 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-03 08:46:44,328 Node[0] Epoch[29] Validation-accuracy=0.808994 | |
| 2016-05-03 08:46:54,914 Node[0] Epoch[30] Batch [50] Speed: 607.78 samples/sec Train-accuracy=0.887031 | |
| 2016-05-03 08:47:05,479 Node[0] Epoch[30] Batch [100] Speed: 605.79 samples/sec Train-accuracy=0.892188 | |
| 2016-05-03 08:47:16,040 Node[0] Epoch[30] Batch [150] Speed: 606.06 samples/sec Train-accuracy=0.894062 | |
| 2016-05-03 08:47:26,572 Node[0] Epoch[30] Batch [200] Speed: 607.69 samples/sec Train-accuracy=0.892500 | |
| 2016-05-03 08:47:37,159 Node[0] Epoch[30] Batch [250] Speed: 604.52 samples/sec Train-accuracy=0.893437 | |
| 2016-05-03 08:47:47,690 Node[0] Epoch[30] Batch [300] Speed: 607.76 samples/sec Train-accuracy=0.898750 | |
| 2016-05-03 08:47:58,208 Node[0] Epoch[30] Batch [350] Speed: 608.47 samples/sec Train-accuracy=0.895312 | |
| 2016-05-03 08:48:06,881 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-03 08:48:06,882 Node[0] Epoch[30] Time cost=82.553 | |
| 2016-05-03 08:48:07,052 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-03 08:48:08,975 Node[0] Epoch[30] Validation-accuracy=0.835437 | |
| 2016-05-03 08:48:19,584 Node[0] Epoch[31] Batch [50] Speed: 606.46 samples/sec Train-accuracy=0.891875 | |
| 2016-05-03 08:48:30,118 Node[0] Epoch[31] Batch [100] Speed: 607.59 samples/sec Train-accuracy=0.904062 | |
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| 2016-05-03 08:48:51,041 Node[0] Epoch[31] Batch [200] Speed: 612.95 samples/sec Train-accuracy=0.893281 | |
| 2016-05-03 08:49:01,496 Node[0] Epoch[31] Batch [250] Speed: 612.21 samples/sec Train-accuracy=0.892969 | |
| 2016-05-03 08:49:12,062 Node[0] Epoch[31] Batch [300] Speed: 605.69 samples/sec Train-accuracy=0.905781 | |
| 2016-05-03 08:49:22,607 Node[0] Epoch[31] Batch [350] Speed: 606.93 samples/sec Train-accuracy=0.899687 | |
| 2016-05-03 08:49:31,034 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-03 08:49:31,034 Node[0] Epoch[31] Time cost=82.059 | |
| 2016-05-03 08:49:31,195 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-03 08:49:33,155 Node[0] Epoch[31] Validation-accuracy=0.826422 | |
| 2016-05-03 08:49:43,758 Node[0] Epoch[32] Batch [50] Speed: 606.78 samples/sec Train-accuracy=0.895312 | |
| 2016-05-03 08:49:54,321 Node[0] Epoch[32] Batch [100] Speed: 605.88 samples/sec Train-accuracy=0.897813 | |
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| 2016-05-03 08:50:15,346 Node[0] Epoch[32] Batch [200] Speed: 610.40 samples/sec Train-accuracy=0.895312 | |
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| 2016-05-03 08:50:36,332 Node[0] Epoch[32] Batch [300] Speed: 607.94 samples/sec Train-accuracy=0.903906 | |
| 2016-05-03 08:50:46,892 Node[0] Epoch[32] Batch [350] Speed: 606.11 samples/sec Train-accuracy=0.907344 | |
| 2016-05-03 08:50:55,574 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-03 08:50:55,574 Node[0] Epoch[32] Time cost=82.419 | |
| 2016-05-03 08:50:55,738 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-03 08:50:57,877 Node[0] Epoch[32] Validation-accuracy=0.825356 | |
| 2016-05-03 08:51:08,452 Node[0] Epoch[33] Batch [50] Speed: 608.37 samples/sec Train-accuracy=0.895938 | |
| 2016-05-03 08:51:18,999 Node[0] Epoch[33] Batch [100] Speed: 606.82 samples/sec Train-accuracy=0.898750 | |
| 2016-05-03 08:51:29,542 Node[0] Epoch[33] Batch [150] Speed: 607.00 samples/sec Train-accuracy=0.898906 | |
| 2016-05-03 08:51:40,064 Node[0] Epoch[33] Batch [200] Speed: 608.27 samples/sec Train-accuracy=0.899844 | |
| 2016-05-03 08:51:50,602 Node[0] Epoch[33] Batch [250] Speed: 607.35 samples/sec Train-accuracy=0.897031 | |
| 2016-05-03 08:52:01,145 Node[0] Epoch[33] Batch [300] Speed: 607.07 samples/sec Train-accuracy=0.903750 | |
| 2016-05-03 08:52:11,649 Node[0] Epoch[33] Batch [350] Speed: 609.32 samples/sec Train-accuracy=0.900781 | |
| 2016-05-03 08:52:20,284 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-03 08:52:20,284 Node[0] Epoch[33] Time cost=82.407 | |
| 2016-05-03 08:52:20,451 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-03 08:52:22,373 Node[0] Epoch[33] Validation-accuracy=0.843450 | |
| 2016-05-03 08:52:32,959 Node[0] Epoch[34] Batch [50] Speed: 607.72 samples/sec Train-accuracy=0.894844 | |
| 2016-05-03 08:52:43,540 Node[0] Epoch[34] Batch [100] Speed: 604.89 samples/sec Train-accuracy=0.901875 | |
| 2016-05-03 08:52:54,078 Node[0] Epoch[34] Batch [150] Speed: 607.30 samples/sec Train-accuracy=0.896406 | |
| 2016-05-03 08:53:04,651 Node[0] Epoch[34] Batch [200] Speed: 605.37 samples/sec Train-accuracy=0.905625 | |
| 2016-05-03 08:53:15,223 Node[0] Epoch[34] Batch [250] Speed: 605.35 samples/sec Train-accuracy=0.905469 | |
| 2016-05-03 08:53:25,785 Node[0] Epoch[34] Batch [300] Speed: 605.98 samples/sec Train-accuracy=0.903906 | |
| 2016-05-03 08:53:36,303 Node[0] Epoch[34] Batch [350] Speed: 608.52 samples/sec Train-accuracy=0.902500 | |
| 2016-05-03 08:53:44,732 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-03 08:53:44,732 Node[0] Epoch[34] Time cost=82.360 | |
| 2016-05-03 08:53:44,898 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-03 08:53:46,861 Node[0] Epoch[34] Validation-accuracy=0.833333 | |
| 2016-05-03 08:53:57,467 Node[0] Epoch[35] Batch [50] Speed: 606.66 samples/sec Train-accuracy=0.901250 | |
| 2016-05-03 08:54:08,021 Node[0] Epoch[35] Batch [100] Speed: 606.40 samples/sec Train-accuracy=0.901875 | |
| 2016-05-03 08:54:18,560 Node[0] Epoch[35] Batch [150] Speed: 607.26 samples/sec Train-accuracy=0.909531 | |
| 2016-05-03 08:54:29,146 Node[0] Epoch[35] Batch [200] Speed: 604.62 samples/sec Train-accuracy=0.898125 | |
| 2016-05-03 08:54:39,693 Node[0] Epoch[35] Batch [250] Speed: 606.83 samples/sec Train-accuracy=0.906719 | |
| 2016-05-03 08:54:50,260 Node[0] Epoch[35] Batch [300] Speed: 605.62 samples/sec Train-accuracy=0.909062 | |
| 2016-05-03 08:55:00,821 Node[0] Epoch[35] Batch [350] Speed: 606.05 samples/sec Train-accuracy=0.905469 | |
| 2016-05-03 08:55:09,474 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-03 08:55:09,474 Node[0] Epoch[35] Time cost=82.613 | |
| 2016-05-03 08:55:09,641 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-03 08:55:11,595 Node[0] Epoch[35] Validation-accuracy=0.847957 | |
| 2016-05-03 08:55:22,191 Node[0] Epoch[36] Batch [50] Speed: 607.18 samples/sec Train-accuracy=0.905781 | |
| 2016-05-03 08:55:32,781 Node[0] Epoch[36] Batch [100] Speed: 604.37 samples/sec Train-accuracy=0.904531 | |
| 2016-05-03 08:55:43,316 Node[0] Epoch[36] Batch [150] Speed: 607.51 samples/sec Train-accuracy=0.901094 | |
| 2016-05-03 08:55:53,908 Node[0] Epoch[36] Batch [200] Speed: 604.22 samples/sec Train-accuracy=0.903750 | |
| 2016-05-03 08:56:04,441 Node[0] Epoch[36] Batch [250] Speed: 607.65 samples/sec Train-accuracy=0.909219 | |
| 2016-05-03 08:56:15,018 Node[0] Epoch[36] Batch [300] Speed: 605.07 samples/sec Train-accuracy=0.910469 | |
| 2016-05-03 08:56:25,584 Node[0] Epoch[36] Batch [350] Speed: 605.78 samples/sec Train-accuracy=0.903594 | |
| 2016-05-03 08:56:34,229 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-03 08:56:34,230 Node[0] Epoch[36] Time cost=82.635 | |
| 2016-05-03 08:56:34,394 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-03 08:56:36,372 Node[0] Epoch[36] Validation-accuracy=0.835837 | |
| 2016-05-03 08:56:46,913 Node[0] Epoch[37] Batch [50] Speed: 610.25 samples/sec Train-accuracy=0.907031 | |
| 2016-05-03 08:56:57,495 Node[0] Epoch[37] Batch [100] Speed: 604.82 samples/sec Train-accuracy=0.907813 | |
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| 2016-05-03 08:57:29,192 Node[0] Epoch[37] Batch [250] Speed: 604.70 samples/sec Train-accuracy=0.908906 | |
| 2016-05-03 08:57:39,744 Node[0] Epoch[37] Batch [300] Speed: 606.52 samples/sec Train-accuracy=0.912031 | |
| 2016-05-03 08:57:50,278 Node[0] Epoch[37] Batch [350] Speed: 607.61 samples/sec Train-accuracy=0.909062 | |
| 2016-05-03 08:57:58,692 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-03 08:57:58,693 Node[0] Epoch[37] Time cost=82.321 | |
| 2016-05-03 08:57:58,858 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-03 08:58:00,820 Node[0] Epoch[37] Validation-accuracy=0.845954 | |
| 2016-05-03 08:58:11,500 Node[0] Epoch[38] Batch [50] Speed: 602.37 samples/sec Train-accuracy=0.905781 | |
| 2016-05-03 08:58:22,121 Node[0] Epoch[38] Batch [100] Speed: 602.58 samples/sec Train-accuracy=0.911406 | |
| 2016-05-03 08:58:32,765 Node[0] Epoch[38] Batch [150] Speed: 601.33 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 08:58:43,321 Node[0] Epoch[38] Batch [200] Speed: 606.31 samples/sec Train-accuracy=0.910000 | |
| 2016-05-03 08:58:53,877 Node[0] Epoch[38] Batch [250] Speed: 606.29 samples/sec Train-accuracy=0.907656 | |
| 2016-05-03 08:59:04,431 Node[0] Epoch[38] Batch [300] Speed: 606.44 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 08:59:14,946 Node[0] Epoch[38] Batch [350] Speed: 608.62 samples/sec Train-accuracy=0.907656 | |
| 2016-05-03 08:59:23,579 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-03 08:59:23,579 Node[0] Epoch[38] Time cost=82.760 | |
| 2016-05-03 08:59:23,747 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-03 08:59:25,714 Node[0] Epoch[38] Validation-accuracy=0.822917 | |
| 2016-05-03 08:59:36,355 Node[0] Epoch[39] Batch [50] Speed: 604.60 samples/sec Train-accuracy=0.914062 | |
| 2016-05-03 08:59:46,895 Node[0] Epoch[39] Batch [100] Speed: 607.27 samples/sec Train-accuracy=0.915312 | |
| 2016-05-03 08:59:57,368 Node[0] Epoch[39] Batch [150] Speed: 611.08 samples/sec Train-accuracy=0.911406 | |
| 2016-05-03 09:00:07,951 Node[0] Epoch[39] Batch [200] Speed: 604.78 samples/sec Train-accuracy=0.910312 | |
| 2016-05-03 09:00:18,461 Node[0] Epoch[39] Batch [250] Speed: 608.93 samples/sec Train-accuracy=0.901094 | |
| 2016-05-03 09:00:29,035 Node[0] Epoch[39] Batch [300] Speed: 605.31 samples/sec Train-accuracy=0.913125 | |
| 2016-05-03 09:00:39,583 Node[0] Epoch[39] Batch [350] Speed: 606.73 samples/sec Train-accuracy=0.917813 | |
| 2016-05-03 09:00:47,987 Node[0] Epoch[39] Resetting Data Iterator | |
| 2016-05-03 09:00:47,988 Node[0] Epoch[39] Time cost=82.273 | |
| 2016-05-03 09:00:48,149 Node[0] Saved checkpoint to "cifar10/resnet-0040.params" | |
| 2016-05-03 09:00:50,089 Node[0] Epoch[39] Validation-accuracy=0.844551 | |
| 2016-05-03 09:01:00,741 Node[0] Epoch[40] Batch [50] Speed: 604.08 samples/sec Train-accuracy=0.910312 | |
| 2016-05-03 09:01:11,281 Node[0] Epoch[40] Batch [100] Speed: 607.19 samples/sec Train-accuracy=0.911563 | |
| 2016-05-03 09:01:21,789 Node[0] Epoch[40] Batch [150] Speed: 609.12 samples/sec Train-accuracy=0.915000 | |
| 2016-05-03 09:01:32,250 Node[0] Epoch[40] Batch [200] Speed: 611.80 samples/sec Train-accuracy=0.912813 | |
| 2016-05-03 09:01:42,836 Node[0] Epoch[40] Batch [250] Speed: 604.58 samples/sec Train-accuracy=0.910000 | |
| 2016-05-03 09:01:53,383 Node[0] Epoch[40] Batch [300] Speed: 606.83 samples/sec Train-accuracy=0.911719 | |
| 2016-05-03 09:02:03,963 Node[0] Epoch[40] Batch [350] Speed: 604.89 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 09:02:12,606 Node[0] Epoch[40] Resetting Data Iterator | |
| 2016-05-03 09:02:12,607 Node[0] Epoch[40] Time cost=82.517 | |
| 2016-05-03 09:02:12,774 Node[0] Saved checkpoint to "cifar10/resnet-0041.params" | |
| 2016-05-03 09:02:14,905 Node[0] Epoch[40] Validation-accuracy=0.844047 | |
| 2016-05-03 09:02:25,374 Node[0] Epoch[41] Batch [50] Speed: 614.49 samples/sec Train-accuracy=0.915781 | |
| 2016-05-03 09:02:35,883 Node[0] Epoch[41] Batch [100] Speed: 609.03 samples/sec Train-accuracy=0.912656 | |
| 2016-05-03 09:02:46,404 Node[0] Epoch[41] Batch [150] Speed: 608.31 samples/sec Train-accuracy=0.916875 | |
| 2016-05-03 09:02:56,954 Node[0] Epoch[41] Batch [200] Speed: 606.70 samples/sec Train-accuracy=0.910937 | |
| 2016-05-03 09:03:07,518 Node[0] Epoch[41] Batch [250] Speed: 605.79 samples/sec Train-accuracy=0.911875 | |
| 2016-05-03 09:03:18,107 Node[0] Epoch[41] Batch [300] Speed: 604.47 samples/sec Train-accuracy=0.914531 | |
| 2016-05-03 09:03:28,607 Node[0] Epoch[41] Batch [350] Speed: 609.49 samples/sec Train-accuracy=0.916406 | |
| 2016-05-03 09:03:37,180 Node[0] Epoch[41] Resetting Data Iterator | |
| 2016-05-03 09:03:37,180 Node[0] Epoch[41] Time cost=82.274 | |
| 2016-05-03 09:03:37,339 Node[0] Saved checkpoint to "cifar10/resnet-0042.params" | |
| 2016-05-03 09:03:39,329 Node[0] Epoch[41] Validation-accuracy=0.846655 | |
| 2016-05-03 09:03:49,924 Node[0] Epoch[42] Batch [50] Speed: 607.30 samples/sec Train-accuracy=0.919375 | |
| 2016-05-03 09:04:00,428 Node[0] Epoch[42] Batch [100] Speed: 609.27 samples/sec Train-accuracy=0.917188 | |
| 2016-05-03 09:04:10,880 Node[0] Epoch[42] Batch [150] Speed: 612.35 samples/sec Train-accuracy=0.916719 | |
| 2016-05-03 09:04:21,411 Node[0] Epoch[42] Batch [200] Speed: 607.72 samples/sec Train-accuracy=0.912500 | |
| 2016-05-03 09:04:31,952 Node[0] Epoch[42] Batch [250] Speed: 607.20 samples/sec Train-accuracy=0.920469 | |
| 2016-05-03 09:04:42,502 Node[0] Epoch[42] Batch [300] Speed: 606.62 samples/sec Train-accuracy=0.920312 | |
| 2016-05-03 09:04:53,064 Node[0] Epoch[42] Batch [350] Speed: 605.99 samples/sec Train-accuracy=0.915625 | |
| 2016-05-03 09:05:01,478 Node[0] Epoch[42] Resetting Data Iterator | |
| 2016-05-03 09:05:01,479 Node[0] Epoch[42] Time cost=82.149 | |
| 2016-05-03 09:05:01,644 Node[0] Saved checkpoint to "cifar10/resnet-0043.params" | |
| 2016-05-03 09:05:03,580 Node[0] Epoch[42] Validation-accuracy=0.854868 | |
| 2016-05-03 09:05:14,103 Node[0] Epoch[43] Batch [50] Speed: 611.40 samples/sec Train-accuracy=0.918906 | |
| 2016-05-03 09:05:24,643 Node[0] Epoch[43] Batch [100] Speed: 607.22 samples/sec Train-accuracy=0.912813 | |
| 2016-05-03 09:05:35,068 Node[0] Epoch[43] Batch [150] Speed: 613.94 samples/sec Train-accuracy=0.917188 | |
| 2016-05-03 09:05:45,500 Node[0] Epoch[43] Batch [200] Speed: 613.52 samples/sec Train-accuracy=0.921562 | |
| 2016-05-03 09:05:56,056 Node[0] Epoch[43] Batch [250] Speed: 606.29 samples/sec Train-accuracy=0.920625 | |
| 2016-05-03 09:06:06,605 Node[0] Epoch[43] Batch [300] Speed: 606.69 samples/sec Train-accuracy=0.917344 | |
| 2016-05-03 09:06:17,143 Node[0] Epoch[43] Batch [350] Speed: 607.34 samples/sec Train-accuracy=0.921406 | |
| 2016-05-03 09:06:25,753 Node[0] Epoch[43] Resetting Data Iterator | |
| 2016-05-03 09:06:25,754 Node[0] Epoch[43] Time cost=82.173 | |
| 2016-05-03 09:06:25,918 Node[0] Saved checkpoint to "cifar10/resnet-0044.params" | |
| 2016-05-03 09:06:27,854 Node[0] Epoch[43] Validation-accuracy=0.856971 | |
| 2016-05-03 09:06:38,472 Node[0] Epoch[44] Batch [50] Speed: 605.99 samples/sec Train-accuracy=0.914531 | |
| 2016-05-03 09:06:49,067 Node[0] Epoch[44] Batch [100] Speed: 604.05 samples/sec Train-accuracy=0.915312 | |
| 2016-05-03 09:06:59,524 Node[0] Epoch[44] Batch [150] Speed: 612.03 samples/sec Train-accuracy=0.912813 | |
| 2016-05-03 09:07:09,940 Node[0] Epoch[44] Batch [200] Speed: 614.48 samples/sec Train-accuracy=0.915625 | |
| 2016-05-03 09:07:20,403 Node[0] Epoch[44] Batch [250] Speed: 611.69 samples/sec Train-accuracy=0.911406 | |
| 2016-05-03 09:07:30,924 Node[0] Epoch[44] Batch [300] Speed: 608.36 samples/sec Train-accuracy=0.917188 | |
| 2016-05-03 09:07:41,493 Node[0] Epoch[44] Batch [350] Speed: 605.55 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 09:07:50,164 Node[0] Epoch[44] Resetting Data Iterator | |
| 2016-05-03 09:07:50,165 Node[0] Epoch[44] Time cost=82.311 | |
| 2016-05-03 09:07:50,329 Node[0] Saved checkpoint to "cifar10/resnet-0045.params" | |
| 2016-05-03 09:07:52,275 Node[0] Epoch[44] Validation-accuracy=0.856771 | |
| 2016-05-03 09:08:02,762 Node[0] Epoch[45] Batch [50] Speed: 613.42 samples/sec Train-accuracy=0.923438 | |
| 2016-05-03 09:08:13,308 Node[0] Epoch[45] Batch [100] Speed: 606.86 samples/sec Train-accuracy=0.917656 | |
| 2016-05-03 09:08:23,817 Node[0] Epoch[45] Batch [150] Speed: 609.03 samples/sec Train-accuracy=0.920937 | |
| 2016-05-03 09:08:34,242 Node[0] Epoch[45] Batch [200] Speed: 613.95 samples/sec Train-accuracy=0.918594 | |
| 2016-05-03 09:08:44,679 Node[0] Epoch[45] Batch [250] Speed: 613.20 samples/sec Train-accuracy=0.924531 | |
| 2016-05-03 09:08:55,184 Node[0] Epoch[45] Batch [300] Speed: 609.24 samples/sec Train-accuracy=0.925469 | |
| 2016-05-03 09:09:05,713 Node[0] Epoch[45] Batch [350] Speed: 607.88 samples/sec Train-accuracy=0.910312 | |
| 2016-05-03 09:09:14,125 Node[0] Epoch[45] Resetting Data Iterator | |
| 2016-05-03 09:09:14,126 Node[0] Epoch[45] Time cost=81.851 | |
| 2016-05-03 09:09:14,295 Node[0] Saved checkpoint to "cifar10/resnet-0046.params" | |
| 2016-05-03 09:09:16,264 Node[0] Epoch[45] Validation-accuracy=0.859675 | |
| 2016-05-03 09:09:26,860 Node[0] Epoch[46] Batch [50] Speed: 607.35 samples/sec Train-accuracy=0.915781 | |
| 2016-05-03 09:09:37,428 Node[0] Epoch[46] Batch [100] Speed: 605.59 samples/sec Train-accuracy=0.923594 | |
| 2016-05-03 09:09:47,925 Node[0] Epoch[46] Batch [150] Speed: 609.70 samples/sec Train-accuracy=0.925625 | |
| 2016-05-03 09:09:58,375 Node[0] Epoch[46] Batch [200] Speed: 612.50 samples/sec Train-accuracy=0.918906 | |
| 2016-05-03 09:10:08,803 Node[0] Epoch[46] Batch [250] Speed: 613.72 samples/sec Train-accuracy=0.920000 | |
| 2016-05-03 09:10:19,336 Node[0] Epoch[46] Batch [300] Speed: 607.64 samples/sec Train-accuracy=0.924375 | |
| 2016-05-03 09:10:29,893 Node[0] Epoch[46] Batch [350] Speed: 606.23 samples/sec Train-accuracy=0.920937 | |
| 2016-05-03 09:10:38,496 Node[0] Epoch[46] Resetting Data Iterator | |
| 2016-05-03 09:10:38,496 Node[0] Epoch[46] Time cost=82.232 | |
| 2016-05-03 09:10:38,661 Node[0] Saved checkpoint to "cifar10/resnet-0047.params" | |
| 2016-05-03 09:10:40,607 Node[0] Epoch[46] Validation-accuracy=0.869792 | |
| 2016-05-03 09:10:51,155 Node[0] Epoch[47] Batch [50] Speed: 610.02 samples/sec Train-accuracy=0.924063 | |
| 2016-05-03 09:11:01,767 Node[0] Epoch[47] Batch [100] Speed: 603.13 samples/sec Train-accuracy=0.921094 | |
| 2016-05-03 09:11:12,203 Node[0] Epoch[47] Batch [150] Speed: 613.23 samples/sec Train-accuracy=0.920312 | |
| 2016-05-03 09:11:22,657 Node[0] Epoch[47] Batch [200] Speed: 612.22 samples/sec Train-accuracy=0.912969 | |
| 2016-05-03 09:11:33,132 Node[0] Epoch[47] Batch [250] Speed: 611.00 samples/sec Train-accuracy=0.916875 | |
| 2016-05-03 09:11:43,711 Node[0] Epoch[47] Batch [300] Speed: 605.01 samples/sec Train-accuracy=0.924375 | |
| 2016-05-03 09:11:54,268 Node[0] Epoch[47] Batch [350] Speed: 606.25 samples/sec Train-accuracy=0.927344 | |
| 2016-05-03 09:12:02,661 Node[0] Epoch[47] Resetting Data Iterator | |
| 2016-05-03 09:12:02,661 Node[0] Epoch[47] Time cost=82.054 | |
| 2016-05-03 09:12:02,825 Node[0] Saved checkpoint to "cifar10/resnet-0048.params" | |
| 2016-05-03 09:12:04,747 Node[0] Epoch[47] Validation-accuracy=0.847356 | |
| 2016-05-03 09:12:15,276 Node[0] Epoch[48] Batch [50] Speed: 611.04 samples/sec Train-accuracy=0.925156 | |
| 2016-05-03 09:12:25,850 Node[0] Epoch[48] Batch [100] Speed: 605.27 samples/sec Train-accuracy=0.922656 | |
| 2016-05-03 09:12:36,366 Node[0] Epoch[48] Batch [150] Speed: 608.65 samples/sec Train-accuracy=0.925312 | |
| 2016-05-03 09:12:46,923 Node[0] Epoch[48] Batch [200] Speed: 606.21 samples/sec Train-accuracy=0.922188 | |
| 2016-05-03 09:12:57,501 Node[0] Epoch[48] Batch [250] Speed: 605.08 samples/sec Train-accuracy=0.921250 | |
| 2016-05-03 09:13:08,093 Node[0] Epoch[48] Batch [300] Speed: 604.21 samples/sec Train-accuracy=0.921719 | |
| 2016-05-03 09:13:18,648 Node[0] Epoch[48] Batch [350] Speed: 606.36 samples/sec Train-accuracy=0.925625 | |
| 2016-05-03 09:13:27,291 Node[0] Epoch[48] Resetting Data Iterator | |
| 2016-05-03 09:13:27,291 Node[0] Epoch[48] Time cost=82.544 | |
| 2016-05-03 09:13:27,459 Node[0] Saved checkpoint to "cifar10/resnet-0049.params" | |
| 2016-05-03 09:13:29,585 Node[0] Epoch[48] Validation-accuracy=0.833762 | |
| 2016-05-03 09:13:40,082 Node[0] Epoch[49] Batch [50] Speed: 612.86 samples/sec Train-accuracy=0.921094 | |
| 2016-05-03 09:13:50,677 Node[0] Epoch[49] Batch [100] Speed: 604.09 samples/sec Train-accuracy=0.921875 | |
| 2016-05-03 09:14:01,246 Node[0] Epoch[49] Batch [150] Speed: 605.56 samples/sec Train-accuracy=0.924219 | |
| 2016-05-03 09:14:11,822 Node[0] Epoch[49] Batch [200] Speed: 605.19 samples/sec Train-accuracy=0.917813 | |
| 2016-05-03 09:14:22,354 Node[0] Epoch[49] Batch [250] Speed: 607.65 samples/sec Train-accuracy=0.918594 | |
| 2016-05-03 09:14:32,890 Node[0] Epoch[49] Batch [300] Speed: 607.46 samples/sec Train-accuracy=0.922344 | |
| 2016-05-03 09:14:43,424 Node[0] Epoch[49] Batch [350] Speed: 607.60 samples/sec Train-accuracy=0.922344 | |
| 2016-05-03 09:14:52,067 Node[0] Epoch[49] Resetting Data Iterator | |
| 2016-05-03 09:14:52,067 Node[0] Epoch[49] Time cost=82.482 | |
| 2016-05-03 09:14:52,231 Node[0] Saved checkpoint to "cifar10/resnet-0050.params" | |
| 2016-05-03 09:14:54,200 Node[0] Epoch[49] Validation-accuracy=0.852063 | |
| 2016-05-03 09:15:04,826 Node[0] Epoch[50] Batch [50] Speed: 605.40 samples/sec Train-accuracy=0.920937 | |
| 2016-05-03 09:15:15,390 Node[0] Epoch[50] Batch [100] Speed: 605.86 samples/sec Train-accuracy=0.927500 | |
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| 2016-05-03 09:16:08,036 Node[0] Epoch[50] Batch [350] Speed: 607.20 samples/sec Train-accuracy=0.926562 | |
| 2016-05-03 09:16:16,464 Node[0] Epoch[50] Resetting Data Iterator | |
| 2016-05-03 09:16:16,464 Node[0] Epoch[50] Time cost=82.264 | |
| 2016-05-03 09:16:16,628 Node[0] Saved checkpoint to "cifar10/resnet-0051.params" | |
| 2016-05-03 09:16:18,579 Node[0] Epoch[50] Validation-accuracy=0.846254 | |
| 2016-05-03 09:16:29,151 Node[0] Epoch[51] Batch [50] Speed: 608.58 samples/sec Train-accuracy=0.926250 | |
| 2016-05-03 09:16:39,702 Node[0] Epoch[51] Batch [100] Speed: 606.55 samples/sec Train-accuracy=0.925781 | |
| 2016-05-03 09:16:50,242 Node[0] Epoch[51] Batch [150] Speed: 607.25 samples/sec Train-accuracy=0.928438 | |
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| 2016-05-03 09:17:21,932 Node[0] Epoch[51] Batch [300] Speed: 605.84 samples/sec Train-accuracy=0.923750 | |
| 2016-05-03 09:17:32,465 Node[0] Epoch[51] Batch [350] Speed: 607.62 samples/sec Train-accuracy=0.922813 | |
| 2016-05-03 09:17:41,112 Node[0] Epoch[51] Resetting Data Iterator | |
| 2016-05-03 09:17:41,112 Node[0] Epoch[51] Time cost=82.533 | |
| 2016-05-03 09:17:41,280 Node[0] Saved checkpoint to "cifar10/resnet-0052.params" | |
| 2016-05-03 09:17:43,244 Node[0] Epoch[51] Validation-accuracy=0.847756 | |
| 2016-05-03 09:17:53,842 Node[0] Epoch[52] Batch [50] Speed: 607.06 samples/sec Train-accuracy=0.924219 | |
| 2016-05-03 09:18:04,361 Node[0] Epoch[52] Batch [100] Speed: 608.44 samples/sec Train-accuracy=0.929375 | |
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| 2016-05-03 09:18:46,564 Node[0] Epoch[52] Batch [300] Speed: 605.73 samples/sec Train-accuracy=0.929688 | |
| 2016-05-03 09:18:57,148 Node[0] Epoch[52] Batch [350] Speed: 604.69 samples/sec Train-accuracy=0.930156 | |
| 2016-05-03 09:19:05,795 Node[0] Epoch[52] Resetting Data Iterator | |
| 2016-05-03 09:19:05,803 Node[0] Epoch[52] Time cost=82.559 | |
| 2016-05-03 09:19:05,960 Node[0] Saved checkpoint to "cifar10/resnet-0053.params" | |
| 2016-05-03 09:19:07,896 Node[0] Epoch[52] Validation-accuracy=0.855970 | |
| 2016-05-03 09:19:18,478 Node[0] Epoch[53] Batch [50] Speed: 608.18 samples/sec Train-accuracy=0.927813 | |
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| 2016-05-03 09:20:00,533 Node[0] Epoch[53] Batch [250] Speed: 609.11 samples/sec Train-accuracy=0.923438 | |
| 2016-05-03 09:20:11,074 Node[0] Epoch[53] Batch [300] Speed: 607.17 samples/sec Train-accuracy=0.925781 | |
| 2016-05-03 09:20:21,679 Node[0] Epoch[53] Batch [350] Speed: 603.48 samples/sec Train-accuracy=0.925937 | |
| 2016-05-03 09:20:30,133 Node[0] Epoch[53] Resetting Data Iterator | |
| 2016-05-03 09:20:30,133 Node[0] Epoch[53] Time cost=82.237 | |
| 2016-05-03 09:20:30,304 Node[0] Saved checkpoint to "cifar10/resnet-0054.params" | |
| 2016-05-03 09:20:32,261 Node[0] Epoch[53] Validation-accuracy=0.865284 | |
| 2016-05-03 09:20:42,894 Node[0] Epoch[54] Batch [50] Speed: 605.15 samples/sec Train-accuracy=0.927969 | |
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| 2016-05-03 09:21:46,001 Node[0] Epoch[54] Batch [350] Speed: 605.57 samples/sec Train-accuracy=0.928906 | |
| 2016-05-03 09:21:54,600 Node[0] Epoch[54] Resetting Data Iterator | |
| 2016-05-03 09:21:54,600 Node[0] Epoch[54] Time cost=82.339 | |
| 2016-05-03 09:21:54,764 Node[0] Saved checkpoint to "cifar10/resnet-0055.params" | |
| 2016-05-03 09:21:56,708 Node[0] Epoch[54] Validation-accuracy=0.848758 | |
| 2016-05-03 09:22:07,304 Node[0] Epoch[55] Batch [50] Speed: 607.16 samples/sec Train-accuracy=0.924844 | |
| 2016-05-03 09:22:17,815 Node[0] Epoch[55] Batch [100] Speed: 608.87 samples/sec Train-accuracy=0.929688 | |
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| 2016-05-03 09:22:59,772 Node[0] Epoch[55] Batch [300] Speed: 608.75 samples/sec Train-accuracy=0.929844 | |
| 2016-05-03 09:23:10,345 Node[0] Epoch[55] Batch [350] Speed: 605.32 samples/sec Train-accuracy=0.934219 | |
| 2016-05-03 09:23:18,754 Node[0] Epoch[55] Resetting Data Iterator | |
| 2016-05-03 09:23:18,754 Node[0] Epoch[55] Time cost=82.046 | |
| 2016-05-03 09:23:18,918 Node[0] Saved checkpoint to "cifar10/resnet-0056.params" | |
| 2016-05-03 09:23:20,866 Node[0] Epoch[55] Validation-accuracy=0.852564 | |
| 2016-05-03 09:23:31,391 Node[0] Epoch[56] Batch [50] Speed: 611.36 samples/sec Train-accuracy=0.922344 | |
| 2016-05-03 09:23:41,834 Node[0] Epoch[56] Batch [100] Speed: 612.88 samples/sec Train-accuracy=0.930625 | |
| 2016-05-03 09:23:52,308 Node[0] Epoch[56] Batch [150] Speed: 611.08 samples/sec Train-accuracy=0.925312 | |
| 2016-05-03 09:24:02,732 Node[0] Epoch[56] Batch [200] Speed: 613.96 samples/sec Train-accuracy=0.923281 | |
| 2016-05-03 09:24:13,240 Node[0] Epoch[56] Batch [250] Speed: 609.08 samples/sec Train-accuracy=0.932344 | |
| 2016-05-03 09:24:23,801 Node[0] Epoch[56] Batch [300] Speed: 605.99 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 09:24:34,377 Node[0] Epoch[56] Batch [350] Speed: 605.22 samples/sec Train-accuracy=0.929375 | |
| 2016-05-03 09:24:42,992 Node[0] Epoch[56] Resetting Data Iterator | |
| 2016-05-03 09:24:42,992 Node[0] Epoch[56] Time cost=82.126 | |
| 2016-05-03 09:24:43,162 Node[0] Saved checkpoint to "cifar10/resnet-0057.params" | |
| 2016-05-03 09:24:45,288 Node[0] Epoch[56] Validation-accuracy=0.857595 | |
| 2016-05-03 09:24:55,780 Node[0] Epoch[57] Batch [50] Speed: 613.20 samples/sec Train-accuracy=0.928594 | |
| 2016-05-03 09:25:06,339 Node[0] Epoch[57] Batch [100] Speed: 606.13 samples/sec Train-accuracy=0.928906 | |
| 2016-05-03 09:25:16,781 Node[0] Epoch[57] Batch [150] Speed: 612.93 samples/sec Train-accuracy=0.931875 | |
| 2016-05-03 09:25:27,228 Node[0] Epoch[57] Batch [200] Speed: 612.63 samples/sec Train-accuracy=0.925156 | |
| 2016-05-03 09:25:37,678 Node[0] Epoch[57] Batch [250] Speed: 612.46 samples/sec Train-accuracy=0.927656 | |
| 2016-05-03 09:25:48,190 Node[0] Epoch[57] Batch [300] Speed: 608.84 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 09:25:58,690 Node[0] Epoch[57] Batch [350] Speed: 609.54 samples/sec Train-accuracy=0.928438 | |
| 2016-05-03 09:26:07,373 Node[0] Epoch[57] Resetting Data Iterator | |
| 2016-05-03 09:26:07,373 Node[0] Epoch[57] Time cost=82.085 | |
| 2016-05-03 09:26:07,543 Node[0] Saved checkpoint to "cifar10/resnet-0058.params" | |
| 2016-05-03 09:26:09,494 Node[0] Epoch[57] Validation-accuracy=0.850361 | |
| 2016-05-03 09:26:19,976 Node[0] Epoch[58] Batch [50] Speed: 613.83 samples/sec Train-accuracy=0.932500 | |
| 2016-05-03 09:26:30,486 Node[0] Epoch[58] Batch [100] Speed: 608.97 samples/sec Train-accuracy=0.929688 | |
| 2016-05-03 09:26:40,991 Node[0] Epoch[58] Batch [150] Speed: 609.25 samples/sec Train-accuracy=0.928906 | |
| 2016-05-03 09:26:51,503 Node[0] Epoch[58] Batch [200] Speed: 608.84 samples/sec Train-accuracy=0.930469 | |
| 2016-05-03 09:27:01,924 Node[0] Epoch[58] Batch [250] Speed: 614.15 samples/sec Train-accuracy=0.931250 | |
| 2016-05-03 09:27:12,339 Node[0] Epoch[58] Batch [300] Speed: 614.50 samples/sec Train-accuracy=0.930312 | |
| 2016-05-03 09:27:22,796 Node[0] Epoch[58] Batch [350] Speed: 612.09 samples/sec Train-accuracy=0.930781 | |
| 2016-05-03 09:27:31,184 Node[0] Epoch[58] Resetting Data Iterator | |
| 2016-05-03 09:27:31,185 Node[0] Epoch[58] Time cost=81.691 | |
| 2016-05-03 09:27:31,353 Node[0] Saved checkpoint to "cifar10/resnet-0059.params" | |
| 2016-05-03 09:27:33,269 Node[0] Epoch[58] Validation-accuracy=0.858874 | |
| 2016-05-03 09:27:43,859 Node[0] Epoch[59] Batch [50] Speed: 607.49 samples/sec Train-accuracy=0.931250 | |
| 2016-05-03 09:27:54,441 Node[0] Epoch[59] Batch [100] Speed: 604.84 samples/sec Train-accuracy=0.930469 | |
| 2016-05-03 09:28:05,007 Node[0] Epoch[59] Batch [150] Speed: 605.74 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 09:28:15,545 Node[0] Epoch[59] Batch [200] Speed: 607.34 samples/sec Train-accuracy=0.924219 | |
| 2016-05-03 09:28:26,065 Node[0] Epoch[59] Batch [250] Speed: 608.38 samples/sec Train-accuracy=0.921875 | |
| 2016-05-03 09:28:36,497 Node[0] Epoch[59] Batch [300] Speed: 613.50 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 09:28:46,978 Node[0] Epoch[59] Batch [350] Speed: 610.61 samples/sec Train-accuracy=0.928750 | |
| 2016-05-03 09:28:55,542 Node[0] Epoch[59] Resetting Data Iterator | |
| 2016-05-03 09:28:55,542 Node[0] Epoch[59] Time cost=82.274 | |
| 2016-05-03 09:28:55,707 Node[0] Saved checkpoint to "cifar10/resnet-0060.params" | |
| 2016-05-03 09:28:57,645 Node[0] Epoch[59] Validation-accuracy=0.857572 | |
| 2016-05-03 09:29:08,339 Node[0] Epoch[60] Batch [50] Speed: 601.65 samples/sec Train-accuracy=0.929844 | |
| 2016-05-03 09:29:18,929 Node[0] Epoch[60] Batch [100] Speed: 604.32 samples/sec Train-accuracy=0.929063 | |
| 2016-05-03 09:29:29,337 Node[0] Epoch[60] Batch [150] Speed: 614.94 samples/sec Train-accuracy=0.930312 | |
| 2016-05-03 09:29:39,812 Node[0] Epoch[60] Batch [200] Speed: 610.97 samples/sec Train-accuracy=0.929063 | |
| 2016-05-03 09:29:50,311 Node[0] Epoch[60] Batch [250] Speed: 609.60 samples/sec Train-accuracy=0.930156 | |
| 2016-05-03 09:30:00,901 Node[0] Epoch[60] Batch [300] Speed: 604.36 samples/sec Train-accuracy=0.935000 | |
| 2016-05-03 09:30:11,458 Node[0] Epoch[60] Batch [350] Speed: 606.27 samples/sec Train-accuracy=0.929844 | |
| 2016-05-03 09:30:20,116 Node[0] Epoch[60] Resetting Data Iterator | |
| 2016-05-03 09:30:20,117 Node[0] Epoch[60] Time cost=82.472 | |
| 2016-05-03 09:30:20,280 Node[0] Saved checkpoint to "cifar10/resnet-0061.params" | |
| 2016-05-03 09:30:22,254 Node[0] Epoch[60] Validation-accuracy=0.855068 | |
| 2016-05-03 09:30:32,797 Node[0] Epoch[61] Batch [50] Speed: 610.17 samples/sec Train-accuracy=0.927031 | |
| 2016-05-03 09:30:43,337 Node[0] Epoch[61] Batch [100] Speed: 607.26 samples/sec Train-accuracy=0.935000 | |
| 2016-05-03 09:30:53,870 Node[0] Epoch[61] Batch [150] Speed: 607.64 samples/sec Train-accuracy=0.933281 | |
| 2016-05-03 09:31:04,436 Node[0] Epoch[61] Batch [200] Speed: 605.72 samples/sec Train-accuracy=0.933594 | |
| 2016-05-03 09:31:14,864 Node[0] Epoch[61] Batch [250] Speed: 613.71 samples/sec Train-accuracy=0.925625 | |
| 2016-05-03 09:31:25,386 Node[0] Epoch[61] Batch [300] Speed: 608.31 samples/sec Train-accuracy=0.937031 | |
| 2016-05-03 09:31:35,914 Node[0] Epoch[61] Batch [350] Speed: 607.92 samples/sec Train-accuracy=0.937500 | |
| 2016-05-03 09:31:44,349 Node[0] Epoch[61] Resetting Data Iterator | |
| 2016-05-03 09:31:44,349 Node[0] Epoch[61] Time cost=82.096 | |
| 2016-05-03 09:31:44,515 Node[0] Saved checkpoint to "cifar10/resnet-0062.params" | |
| 2016-05-03 09:31:46,449 Node[0] Epoch[61] Validation-accuracy=0.867188 | |
| 2016-05-03 09:31:57,035 Node[0] Epoch[62] Batch [50] Speed: 607.79 samples/sec Train-accuracy=0.933125 | |
| 2016-05-03 09:32:07,572 Node[0] Epoch[62] Batch [100] Speed: 607.38 samples/sec Train-accuracy=0.931250 | |
| 2016-05-03 09:32:18,124 Node[0] Epoch[62] Batch [150] Speed: 606.56 samples/sec Train-accuracy=0.930469 | |
| 2016-05-03 09:32:28,683 Node[0] Epoch[62] Batch [200] Speed: 606.09 samples/sec Train-accuracy=0.929844 | |
| 2016-05-03 09:32:39,223 Node[0] Epoch[62] Batch [250] Speed: 607.24 samples/sec Train-accuracy=0.932656 | |
| 2016-05-03 09:32:49,768 Node[0] Epoch[62] Batch [300] Speed: 606.95 samples/sec Train-accuracy=0.935156 | |
| 2016-05-03 09:33:00,320 Node[0] Epoch[62] Batch [350] Speed: 606.54 samples/sec Train-accuracy=0.926875 | |
| 2016-05-03 09:33:08,947 Node[0] Epoch[62] Resetting Data Iterator | |
| 2016-05-03 09:33:08,948 Node[0] Epoch[62] Time cost=82.498 | |
| 2016-05-03 09:33:09,115 Node[0] Saved checkpoint to "cifar10/resnet-0063.params" | |
| 2016-05-03 09:33:11,076 Node[0] Epoch[62] Validation-accuracy=0.860176 | |
| 2016-05-03 09:33:21,624 Node[0] Epoch[63] Batch [50] Speed: 609.97 samples/sec Train-accuracy=0.930625 | |
| 2016-05-03 09:33:32,142 Node[0] Epoch[63] Batch [100] Speed: 608.45 samples/sec Train-accuracy=0.938594 | |
| 2016-05-03 09:33:42,679 Node[0] Epoch[63] Batch [150] Speed: 607.41 samples/sec Train-accuracy=0.932656 | |
| 2016-05-03 09:33:53,207 Node[0] Epoch[63] Batch [200] Speed: 607.93 samples/sec Train-accuracy=0.926406 | |
| 2016-05-03 09:34:03,747 Node[0] Epoch[63] Batch [250] Speed: 607.23 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 09:34:14,277 Node[0] Epoch[63] Batch [300] Speed: 607.83 samples/sec Train-accuracy=0.933750 | |
| 2016-05-03 09:34:24,787 Node[0] Epoch[63] Batch [350] Speed: 608.93 samples/sec Train-accuracy=0.938594 | |
| 2016-05-03 09:34:33,183 Node[0] Epoch[63] Resetting Data Iterator | |
| 2016-05-03 09:34:33,184 Node[0] Epoch[63] Time cost=82.107 | |
| 2016-05-03 09:34:33,349 Node[0] Saved checkpoint to "cifar10/resnet-0064.params" | |
| 2016-05-03 09:34:35,307 Node[0] Epoch[63] Validation-accuracy=0.856771 | |
| 2016-05-03 09:34:45,928 Node[0] Epoch[64] Batch [50] Speed: 605.77 samples/sec Train-accuracy=0.934844 | |
| 2016-05-03 09:34:56,383 Node[0] Epoch[64] Batch [100] Speed: 612.19 samples/sec Train-accuracy=0.937500 | |
| 2016-05-03 09:35:06,861 Node[0] Epoch[64] Batch [150] Speed: 610.79 samples/sec Train-accuracy=0.940625 | |
| 2016-05-03 09:35:17,433 Node[0] Epoch[64] Batch [200] Speed: 605.38 samples/sec Train-accuracy=0.930937 | |
| 2016-05-03 09:35:27,997 Node[0] Epoch[64] Batch [250] Speed: 605.85 samples/sec Train-accuracy=0.922969 | |
| 2016-05-03 09:35:38,571 Node[0] Epoch[64] Batch [300] Speed: 605.30 samples/sec Train-accuracy=0.934219 | |
| 2016-05-03 09:35:49,072 Node[0] Epoch[64] Batch [350] Speed: 609.49 samples/sec Train-accuracy=0.936094 | |
| 2016-05-03 09:35:57,682 Node[0] Epoch[64] Resetting Data Iterator | |
| 2016-05-03 09:35:57,682 Node[0] Epoch[64] Time cost=82.375 | |
| 2016-05-03 09:35:57,852 Node[0] Saved checkpoint to "cifar10/resnet-0065.params" | |
| 2016-05-03 09:36:00,025 Node[0] Epoch[64] Validation-accuracy=0.848794 | |
| 2016-05-03 09:36:10,603 Node[0] Epoch[65] Batch [50] Speed: 608.25 samples/sec Train-accuracy=0.929063 | |
| 2016-05-03 09:36:21,137 Node[0] Epoch[65] Batch [100] Speed: 607.56 samples/sec Train-accuracy=0.937969 | |
| 2016-05-03 09:36:31,559 Node[0] Epoch[65] Batch [150] Speed: 614.10 samples/sec Train-accuracy=0.935937 | |
| 2016-05-03 09:36:42,010 Node[0] Epoch[65] Batch [200] Speed: 612.40 samples/sec Train-accuracy=0.933906 | |
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| 2016-05-03 09:37:03,103 Node[0] Epoch[65] Batch [300] Speed: 607.10 samples/sec Train-accuracy=0.936875 | |
| 2016-05-03 09:37:13,675 Node[0] Epoch[65] Batch [350] Speed: 605.43 samples/sec Train-accuracy=0.928750 | |
| 2016-05-03 09:37:22,316 Node[0] Epoch[65] Resetting Data Iterator | |
| 2016-05-03 09:37:22,317 Node[0] Epoch[65] Time cost=82.291 | |
| 2016-05-03 09:37:22,479 Node[0] Saved checkpoint to "cifar10/resnet-0066.params" | |
| 2016-05-03 09:37:24,426 Node[0] Epoch[65] Validation-accuracy=0.865986 | |
| 2016-05-03 09:37:35,023 Node[0] Epoch[66] Batch [50] Speed: 607.13 samples/sec Train-accuracy=0.937031 | |
| 2016-05-03 09:37:45,556 Node[0] Epoch[66] Batch [100] Speed: 607.59 samples/sec Train-accuracy=0.937969 | |
| 2016-05-03 09:37:56,095 Node[0] Epoch[66] Batch [150] Speed: 607.33 samples/sec Train-accuracy=0.939375 | |
| 2016-05-03 09:38:06,437 Node[0] Epoch[66] Batch [200] Speed: 618.83 samples/sec Train-accuracy=0.930156 | |
| 2016-05-03 09:38:16,920 Node[0] Epoch[66] Batch [250] Speed: 610.51 samples/sec Train-accuracy=0.934531 | |
| 2016-05-03 09:38:27,475 Node[0] Epoch[66] Batch [300] Speed: 606.38 samples/sec Train-accuracy=0.936250 | |
| 2016-05-03 09:38:38,066 Node[0] Epoch[66] Batch [350] Speed: 604.30 samples/sec Train-accuracy=0.929375 | |
| 2016-05-03 09:38:46,483 Node[0] Epoch[66] Resetting Data Iterator | |
| 2016-05-03 09:38:46,484 Node[0] Epoch[66] Time cost=82.057 | |
| 2016-05-03 09:38:46,648 Node[0] Saved checkpoint to "cifar10/resnet-0067.params" | |
| 2016-05-03 09:38:48,597 Node[0] Epoch[66] Validation-accuracy=0.851362 | |
| 2016-05-03 09:38:59,134 Node[0] Epoch[67] Batch [50] Speed: 610.64 samples/sec Train-accuracy=0.935625 | |
| 2016-05-03 09:39:09,680 Node[0] Epoch[67] Batch [100] Speed: 606.92 samples/sec Train-accuracy=0.936719 | |
| 2016-05-03 09:39:20,165 Node[0] Epoch[67] Batch [150] Speed: 610.36 samples/sec Train-accuracy=0.940781 | |
| 2016-05-03 09:39:30,641 Node[0] Epoch[67] Batch [200] Speed: 610.98 samples/sec Train-accuracy=0.936719 | |
| 2016-05-03 09:39:41,157 Node[0] Epoch[67] Batch [250] Speed: 608.63 samples/sec Train-accuracy=0.936406 | |
| 2016-05-03 09:39:51,699 Node[0] Epoch[67] Batch [300] Speed: 607.09 samples/sec Train-accuracy=0.937656 | |
| 2016-05-03 09:40:02,265 Node[0] Epoch[67] Batch [350] Speed: 605.70 samples/sec Train-accuracy=0.936562 | |
| 2016-05-03 09:40:10,905 Node[0] Epoch[67] Resetting Data Iterator | |
| 2016-05-03 09:40:10,905 Node[0] Epoch[67] Time cost=82.308 | |
| 2016-05-03 09:40:11,074 Node[0] Saved checkpoint to "cifar10/resnet-0068.params" | |
| 2016-05-03 09:40:13,031 Node[0] Epoch[67] Validation-accuracy=0.865385 | |
| 2016-05-03 09:40:23,559 Node[0] Epoch[68] Batch [50] Speed: 611.22 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 09:40:34,103 Node[0] Epoch[68] Batch [100] Speed: 607.01 samples/sec Train-accuracy=0.933125 | |
| 2016-05-03 09:40:44,531 Node[0] Epoch[68] Batch [150] Speed: 613.69 samples/sec Train-accuracy=0.937813 | |
| 2016-05-03 09:40:54,981 Node[0] Epoch[68] Batch [200] Speed: 612.51 samples/sec Train-accuracy=0.931406 | |
| 2016-05-03 09:41:05,450 Node[0] Epoch[68] Batch [250] Speed: 611.31 samples/sec Train-accuracy=0.932969 | |
| 2016-05-03 09:41:15,940 Node[0] Epoch[68] Batch [300] Speed: 610.13 samples/sec Train-accuracy=0.940156 | |
| 2016-05-03 09:41:26,465 Node[0] Epoch[68] Batch [350] Speed: 608.08 samples/sec Train-accuracy=0.933438 | |
| 2016-05-03 09:41:35,095 Node[0] Epoch[68] Resetting Data Iterator | |
| 2016-05-03 09:41:35,095 Node[0] Epoch[68] Time cost=82.064 | |
| 2016-05-03 09:41:35,261 Node[0] Saved checkpoint to "cifar10/resnet-0069.params" | |
| 2016-05-03 09:41:37,191 Node[0] Epoch[68] Validation-accuracy=0.867087 | |
| 2016-05-03 09:41:47,736 Node[0] Epoch[69] Batch [50] Speed: 610.09 samples/sec Train-accuracy=0.936875 | |
| 2016-05-03 09:41:58,246 Node[0] Epoch[69] Batch [100] Speed: 608.95 samples/sec Train-accuracy=0.935156 | |
| 2016-05-03 09:42:08,773 Node[0] Epoch[69] Batch [150] Speed: 608.00 samples/sec Train-accuracy=0.940469 | |
| 2016-05-03 09:42:19,245 Node[0] Epoch[69] Batch [200] Speed: 611.16 samples/sec Train-accuracy=0.935469 | |
| 2016-05-03 09:42:29,694 Node[0] Epoch[69] Batch [250] Speed: 612.50 samples/sec Train-accuracy=0.934063 | |
| 2016-05-03 09:42:40,104 Node[0] Epoch[69] Batch [300] Speed: 614.87 samples/sec Train-accuracy=0.937656 | |
| 2016-05-03 09:42:50,587 Node[0] Epoch[69] Batch [350] Speed: 610.49 samples/sec Train-accuracy=0.935312 | |
| 2016-05-03 09:42:59,021 Node[0] Epoch[69] Resetting Data Iterator | |
| 2016-05-03 09:42:59,021 Node[0] Epoch[69] Time cost=81.829 | |
| 2016-05-03 09:42:59,184 Node[0] Saved checkpoint to "cifar10/resnet-0070.params" | |
| 2016-05-03 09:43:01,139 Node[0] Epoch[69] Validation-accuracy=0.853165 | |
| 2016-05-03 09:43:11,787 Node[0] Epoch[70] Batch [50] Speed: 604.14 samples/sec Train-accuracy=0.937344 | |
| 2016-05-03 09:43:22,319 Node[0] Epoch[70] Batch [100] Speed: 607.71 samples/sec Train-accuracy=0.942813 | |
| 2016-05-03 09:43:32,784 Node[0] Epoch[70] Batch [150] Speed: 611.61 samples/sec Train-accuracy=0.935312 | |
| 2016-05-03 09:43:43,237 Node[0] Epoch[70] Batch [200] Speed: 612.25 samples/sec Train-accuracy=0.937187 | |
| 2016-05-03 09:43:53,723 Node[0] Epoch[70] Batch [250] Speed: 610.39 samples/sec Train-accuracy=0.937500 | |
| 2016-05-03 09:44:04,253 Node[0] Epoch[70] Batch [300] Speed: 607.76 samples/sec Train-accuracy=0.937813 | |
| 2016-05-03 09:44:14,820 Node[0] Epoch[70] Batch [350] Speed: 605.68 samples/sec Train-accuracy=0.936094 | |
| 2016-05-03 09:44:23,457 Node[0] Epoch[70] Resetting Data Iterator | |
| 2016-05-03 09:44:23,457 Node[0] Epoch[70] Time cost=82.318 | |
| 2016-05-03 09:44:23,623 Node[0] Saved checkpoint to "cifar10/resnet-0071.params" | |
| 2016-05-03 09:44:25,569 Node[0] Epoch[70] Validation-accuracy=0.868790 | |
| 2016-05-03 09:44:36,061 Node[0] Epoch[71] Batch [50] Speed: 613.25 samples/sec Train-accuracy=0.937344 | |
| 2016-05-03 09:44:46,586 Node[0] Epoch[71] Batch [100] Speed: 608.10 samples/sec Train-accuracy=0.939219 | |
| 2016-05-03 09:44:57,062 Node[0] Epoch[71] Batch [150] Speed: 610.91 samples/sec Train-accuracy=0.934219 | |
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| 2016-05-03 09:45:18,015 Node[0] Epoch[71] Batch [250] Speed: 609.57 samples/sec Train-accuracy=0.933594 | |
| 2016-05-03 09:45:28,568 Node[0] Epoch[71] Batch [300] Speed: 606.44 samples/sec Train-accuracy=0.936250 | |
| 2016-05-03 09:45:39,095 Node[0] Epoch[71] Batch [350] Speed: 608.01 samples/sec Train-accuracy=0.940156 | |
| 2016-05-03 09:45:47,517 Node[0] Epoch[71] Resetting Data Iterator | |
| 2016-05-03 09:45:47,517 Node[0] Epoch[71] Time cost=81.948 | |
| 2016-05-03 09:45:47,684 Node[0] Saved checkpoint to "cifar10/resnet-0072.params" | |
| 2016-05-03 09:45:49,587 Node[0] Epoch[71] Validation-accuracy=0.863381 | |
| 2016-05-03 09:46:00,153 Node[0] Epoch[72] Batch [50] Speed: 609.01 samples/sec Train-accuracy=0.946406 | |
| 2016-05-03 09:46:10,637 Node[0] Epoch[72] Batch [100] Speed: 610.45 samples/sec Train-accuracy=0.937187 | |
| 2016-05-03 09:46:21,032 Node[0] Epoch[72] Batch [150] Speed: 615.69 samples/sec Train-accuracy=0.939844 | |
| 2016-05-03 09:46:31,429 Node[0] Epoch[72] Batch [200] Speed: 615.61 samples/sec Train-accuracy=0.936719 | |
| 2016-05-03 09:46:41,982 Node[0] Epoch[72] Batch [250] Speed: 606.47 samples/sec Train-accuracy=0.938125 | |
| 2016-05-03 09:46:52,532 Node[0] Epoch[72] Batch [300] Speed: 606.66 samples/sec Train-accuracy=0.937500 | |
| 2016-05-03 09:47:03,037 Node[0] Epoch[72] Batch [350] Speed: 609.22 samples/sec Train-accuracy=0.936406 | |
| 2016-05-03 09:47:11,682 Node[0] Epoch[72] Resetting Data Iterator | |
| 2016-05-03 09:47:11,682 Node[0] Epoch[72] Time cost=82.095 | |
| 2016-05-03 09:47:11,846 Node[0] Saved checkpoint to "cifar10/resnet-0073.params" | |
| 2016-05-03 09:47:14,010 Node[0] Epoch[72] Validation-accuracy=0.850178 | |
| 2016-05-03 09:47:24,580 Node[0] Epoch[73] Batch [50] Speed: 608.74 samples/sec Train-accuracy=0.936719 | |
| 2016-05-03 09:47:35,151 Node[0] Epoch[73] Batch [100] Speed: 605.42 samples/sec Train-accuracy=0.941406 | |
| 2016-05-03 09:47:45,667 Node[0] Epoch[73] Batch [150] Speed: 608.62 samples/sec Train-accuracy=0.942656 | |
| 2016-05-03 09:47:56,167 Node[0] Epoch[73] Batch [200] Speed: 609.56 samples/sec Train-accuracy=0.939219 | |
| 2016-05-03 09:48:06,653 Node[0] Epoch[73] Batch [250] Speed: 610.31 samples/sec Train-accuracy=0.932656 | |
| 2016-05-03 09:48:17,106 Node[0] Epoch[73] Batch [300] Speed: 612.30 samples/sec Train-accuracy=0.941094 | |
| 2016-05-03 09:48:27,616 Node[0] Epoch[73] Batch [350] Speed: 608.95 samples/sec Train-accuracy=0.937187 | |
| 2016-05-03 09:48:36,211 Node[0] Epoch[73] Resetting Data Iterator | |
| 2016-05-03 09:48:36,212 Node[0] Epoch[73] Time cost=82.201 | |
| 2016-05-03 09:48:36,377 Node[0] Saved checkpoint to "cifar10/resnet-0074.params" | |
| 2016-05-03 09:48:38,298 Node[0] Epoch[73] Validation-accuracy=0.853866 | |
| 2016-05-03 09:48:48,881 Node[0] Epoch[74] Batch [50] Speed: 607.91 samples/sec Train-accuracy=0.945156 | |
| 2016-05-03 09:48:59,405 Node[0] Epoch[74] Batch [100] Speed: 608.16 samples/sec Train-accuracy=0.936406 | |
| 2016-05-03 09:49:09,921 Node[0] Epoch[74] Batch [150] Speed: 608.62 samples/sec Train-accuracy=0.940312 | |
| 2016-05-03 09:49:20,400 Node[0] Epoch[74] Batch [200] Speed: 610.74 samples/sec Train-accuracy=0.937344 | |
| 2016-05-03 09:49:30,826 Node[0] Epoch[74] Batch [250] Speed: 613.89 samples/sec Train-accuracy=0.935625 | |
| 2016-05-03 09:49:41,295 Node[0] Epoch[74] Batch [300] Speed: 611.31 samples/sec Train-accuracy=0.941406 | |
| 2016-05-03 09:49:51,812 Node[0] Epoch[74] Batch [350] Speed: 608.60 samples/sec Train-accuracy=0.943750 | |
| 2016-05-03 09:50:00,215 Node[0] Epoch[74] Resetting Data Iterator | |
| 2016-05-03 09:50:00,216 Node[0] Epoch[74] Time cost=81.918 | |
| 2016-05-03 09:50:00,382 Node[0] Saved checkpoint to "cifar10/resnet-0075.params" | |
| 2016-05-03 09:50:02,342 Node[0] Epoch[74] Validation-accuracy=0.847957 | |
| 2016-05-03 09:50:12,910 Node[0] Epoch[75] Batch [50] Speed: 608.80 samples/sec Train-accuracy=0.934219 | |
| 2016-05-03 09:50:23,477 Node[0] Epoch[75] Batch [100] Speed: 605.68 samples/sec Train-accuracy=0.942500 | |
| 2016-05-03 09:50:33,885 Node[0] Epoch[75] Batch [150] Speed: 614.92 samples/sec Train-accuracy=0.939844 | |
| 2016-05-03 09:50:44,354 Node[0] Epoch[75] Batch [200] Speed: 611.37 samples/sec Train-accuracy=0.939688 | |
| 2016-05-03 09:50:54,768 Node[0] Epoch[75] Batch [250] Speed: 614.58 samples/sec Train-accuracy=0.932656 | |
| 2016-05-03 09:51:05,236 Node[0] Epoch[75] Batch [300] Speed: 611.42 samples/sec Train-accuracy=0.933750 | |
| 2016-05-03 09:51:15,789 Node[0] Epoch[75] Batch [350] Speed: 606.49 samples/sec Train-accuracy=0.937031 | |
| 2016-05-03 09:51:24,457 Node[0] Epoch[75] Resetting Data Iterator | |
| 2016-05-03 09:51:24,457 Node[0] Epoch[75] Time cost=82.115 | |
| 2016-05-03 09:51:24,620 Node[0] Saved checkpoint to "cifar10/resnet-0076.params" | |
| 2016-05-03 09:51:26,581 Node[0] Epoch[75] Validation-accuracy=0.870092 | |
| 2016-05-03 09:51:37,119 Node[0] Epoch[76] Batch [50] Speed: 610.62 samples/sec Train-accuracy=0.938750 | |
| 2016-05-03 09:51:47,697 Node[0] Epoch[76] Batch [100] Speed: 605.04 samples/sec Train-accuracy=0.935156 | |
| 2016-05-03 09:51:58,191 Node[0] Epoch[76] Batch [150] Speed: 609.87 samples/sec Train-accuracy=0.943281 | |
| 2016-05-03 09:52:08,671 Node[0] Epoch[76] Batch [200] Speed: 610.69 samples/sec Train-accuracy=0.936562 | |
| 2016-05-03 09:52:19,139 Node[0] Epoch[76] Batch [250] Speed: 611.43 samples/sec Train-accuracy=0.938594 | |
| 2016-05-03 09:52:29,550 Node[0] Epoch[76] Batch [300] Speed: 614.75 samples/sec Train-accuracy=0.939531 | |
| 2016-05-03 09:52:39,979 Node[0] Epoch[76] Batch [350] Speed: 613.67 samples/sec Train-accuracy=0.940469 | |
| 2016-05-03 09:52:48,615 Node[0] Epoch[76] Resetting Data Iterator | |
| 2016-05-03 09:52:48,615 Node[0] Epoch[76] Time cost=82.034 | |
| 2016-05-03 09:52:48,780 Node[0] Saved checkpoint to "cifar10/resnet-0077.params" | |
| 2016-05-03 09:52:50,708 Node[0] Epoch[76] Validation-accuracy=0.860677 | |
| 2016-05-03 09:53:01,331 Node[0] Epoch[77] Batch [50] Speed: 605.66 samples/sec Train-accuracy=0.934375 | |
| 2016-05-03 09:53:11,766 Node[0] Epoch[77] Batch [100] Speed: 613.30 samples/sec Train-accuracy=0.943125 | |
| 2016-05-03 09:53:22,242 Node[0] Epoch[77] Batch [150] Speed: 610.97 samples/sec Train-accuracy=0.940625 | |
| 2016-05-03 09:53:32,701 Node[0] Epoch[77] Batch [200] Speed: 611.94 samples/sec Train-accuracy=0.938281 | |
| 2016-05-03 09:53:43,159 Node[0] Epoch[77] Batch [250] Speed: 611.96 samples/sec Train-accuracy=0.939844 | |
| 2016-05-03 09:53:53,634 Node[0] Epoch[77] Batch [300] Speed: 611.02 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 09:54:04,193 Node[0] Epoch[77] Batch [350] Speed: 606.09 samples/sec Train-accuracy=0.937969 | |
| 2016-05-03 09:54:12,604 Node[0] Epoch[77] Resetting Data Iterator | |
| 2016-05-03 09:54:12,605 Node[0] Epoch[77] Time cost=81.897 | |
| 2016-05-03 09:54:12,776 Node[0] Saved checkpoint to "cifar10/resnet-0078.params" | |
| 2016-05-03 09:54:14,703 Node[0] Epoch[77] Validation-accuracy=0.855970 | |
| 2016-05-03 09:54:25,194 Node[0] Epoch[78] Batch [50] Speed: 613.31 samples/sec Train-accuracy=0.937031 | |
| 2016-05-03 09:54:35,665 Node[0] Epoch[78] Batch [100] Speed: 611.25 samples/sec Train-accuracy=0.939063 | |
| 2016-05-03 09:54:46,079 Node[0] Epoch[78] Batch [150] Speed: 614.54 samples/sec Train-accuracy=0.940781 | |
| 2016-05-03 09:54:56,526 Node[0] Epoch[78] Batch [200] Speed: 612.66 samples/sec Train-accuracy=0.933906 | |
| 2016-05-03 09:55:07,003 Node[0] Epoch[78] Batch [250] Speed: 610.87 samples/sec Train-accuracy=0.938438 | |
| 2016-05-03 09:55:17,397 Node[0] Epoch[78] Batch [300] Speed: 615.76 samples/sec Train-accuracy=0.941562 | |
| 2016-05-03 09:55:27,948 Node[0] Epoch[78] Batch [350] Speed: 606.62 samples/sec Train-accuracy=0.940781 | |
| 2016-05-03 09:55:36,574 Node[0] Epoch[78] Resetting Data Iterator | |
| 2016-05-03 09:55:36,575 Node[0] Epoch[78] Time cost=81.872 | |
| 2016-05-03 09:55:36,740 Node[0] Saved checkpoint to "cifar10/resnet-0079.params" | |
| 2016-05-03 09:55:38,674 Node[0] Epoch[78] Validation-accuracy=0.840044 | |
| 2016-05-03 09:55:49,181 Node[0] Epoch[79] Batch [50] Speed: 612.37 samples/sec Train-accuracy=0.939063 | |
| 2016-05-03 09:55:59,625 Node[0] Epoch[79] Batch [100] Speed: 612.79 samples/sec Train-accuracy=0.944063 | |
| 2016-05-03 09:56:10,027 Node[0] Epoch[79] Batch [150] Speed: 615.28 samples/sec Train-accuracy=0.942344 | |
| 2016-05-03 09:56:20,484 Node[0] Epoch[79] Batch [200] Speed: 612.08 samples/sec Train-accuracy=0.937187 | |
| 2016-05-03 09:56:30,987 Node[0] Epoch[79] Batch [250] Speed: 609.36 samples/sec Train-accuracy=0.941250 | |
| 2016-05-03 09:56:41,425 Node[0] Epoch[79] Batch [300] Speed: 613.12 samples/sec Train-accuracy=0.941406 | |
| 2016-05-03 09:56:51,889 Node[0] Epoch[79] Batch [350] Speed: 611.65 samples/sec Train-accuracy=0.939375 | |
| 2016-05-03 09:57:00,281 Node[0] Epoch[79] Resetting Data Iterator | |
| 2016-05-03 09:57:00,281 Node[0] Epoch[79] Time cost=81.607 | |
| 2016-05-03 09:57:00,449 Node[0] Saved checkpoint to "cifar10/resnet-0080.params" | |
| 2016-05-03 09:57:02,394 Node[0] Epoch[79] Validation-accuracy=0.869692 | |
| 2016-05-03 09:57:02,395 Node[0] Update[31251]: Change learning rate to 1.00000e-02 | |
| 2016-05-03 09:57:12,985 Node[0] Epoch[80] Batch [50] Speed: 607.49 samples/sec Train-accuracy=0.942969 | |
| 2016-05-03 09:57:23,463 Node[0] Epoch[80] Batch [100] Speed: 610.81 samples/sec Train-accuracy=0.956094 | |
| 2016-05-03 09:57:33,942 Node[0] Epoch[80] Batch [150] Speed: 610.79 samples/sec Train-accuracy=0.960781 | |
| 2016-05-03 09:57:44,448 Node[0] Epoch[80] Batch [200] Speed: 609.15 samples/sec Train-accuracy=0.965313 | |
| 2016-05-03 09:57:54,895 Node[0] Epoch[80] Batch [250] Speed: 612.68 samples/sec Train-accuracy=0.968437 | |
| 2016-05-03 09:58:05,365 Node[0] Epoch[80] Batch [300] Speed: 611.29 samples/sec Train-accuracy=0.972812 | |
| 2016-05-03 09:58:15,813 Node[0] Epoch[80] Batch [350] Speed: 612.52 samples/sec Train-accuracy=0.971406 | |
| 2016-05-03 09:58:24,420 Node[0] Epoch[80] Resetting Data Iterator | |
| 2016-05-03 09:58:24,420 Node[0] Epoch[80] Time cost=82.026 | |
| 2016-05-03 09:58:24,584 Node[0] Saved checkpoint to "cifar10/resnet-0081.params" | |
| 2016-05-03 09:58:26,737 Node[0] Epoch[80] Validation-accuracy=0.897152 | |
| 2016-05-03 09:58:37,294 Node[0] Epoch[81] Batch [50] Speed: 609.43 samples/sec Train-accuracy=0.967812 | |
| 2016-05-03 09:58:47,772 Node[0] Epoch[81] Batch [100] Speed: 610.79 samples/sec Train-accuracy=0.973281 | |
| 2016-05-03 09:58:58,196 Node[0] Epoch[81] Batch [150] Speed: 614.03 samples/sec Train-accuracy=0.972344 | |
| 2016-05-03 09:59:08,711 Node[0] Epoch[81] Batch [200] Speed: 608.63 samples/sec Train-accuracy=0.970156 | |
| 2016-05-03 09:59:19,170 Node[0] Epoch[81] Batch [250] Speed: 611.96 samples/sec Train-accuracy=0.977187 | |
| 2016-05-03 09:59:29,622 Node[0] Epoch[81] Batch [300] Speed: 612.32 samples/sec Train-accuracy=0.978906 | |
| 2016-05-03 09:59:40,105 Node[0] Epoch[81] Batch [350] Speed: 610.55 samples/sec Train-accuracy=0.979844 | |
| 2016-05-03 09:59:48,654 Node[0] Epoch[81] Resetting Data Iterator | |
| 2016-05-03 09:59:48,654 Node[0] Epoch[81] Time cost=81.917 | |
| 2016-05-03 09:59:48,820 Node[0] Saved checkpoint to "cifar10/resnet-0082.params" | |
| 2016-05-03 09:59:50,800 Node[0] Epoch[81] Validation-accuracy=0.901542 | |
| 2016-05-03 10:00:01,446 Node[0] Epoch[82] Batch [50] Speed: 604.31 samples/sec Train-accuracy=0.976562 | |
| 2016-05-03 10:00:11,992 Node[0] Epoch[82] Batch [100] Speed: 606.87 samples/sec Train-accuracy=0.979844 | |
| 2016-05-03 10:00:22,402 Node[0] Epoch[82] Batch [150] Speed: 614.80 samples/sec Train-accuracy=0.977031 | |
| 2016-05-03 10:00:32,838 Node[0] Epoch[82] Batch [200] Speed: 613.26 samples/sec Train-accuracy=0.976562 | |
| 2016-05-03 10:00:43,241 Node[0] Epoch[82] Batch [250] Speed: 615.25 samples/sec Train-accuracy=0.978750 | |
| 2016-05-03 10:00:53,804 Node[0] Epoch[82] Batch [300] Speed: 605.87 samples/sec Train-accuracy=0.978125 | |
| 2016-05-03 10:01:04,329 Node[0] Epoch[82] Batch [350] Speed: 608.12 samples/sec Train-accuracy=0.983906 | |
| 2016-05-03 10:01:12,748 Node[0] Epoch[82] Resetting Data Iterator | |
| 2016-05-03 10:01:12,748 Node[0] Epoch[82] Time cost=81.948 | |
| 2016-05-03 10:01:12,913 Node[0] Saved checkpoint to "cifar10/resnet-0083.params" | |
| 2016-05-03 10:01:14,865 Node[0] Epoch[82] Validation-accuracy=0.901042 | |
| 2016-05-03 10:01:25,382 Node[0] Epoch[83] Batch [50] Speed: 611.73 samples/sec Train-accuracy=0.976094 | |
| 2016-05-03 10:01:35,839 Node[0] Epoch[83] Batch [100] Speed: 612.06 samples/sec Train-accuracy=0.979375 | |
| 2016-05-03 10:01:46,321 Node[0] Epoch[83] Batch [150] Speed: 610.56 samples/sec Train-accuracy=0.981406 | |
| 2016-05-03 10:01:56,785 Node[0] Epoch[83] Batch [200] Speed: 611.64 samples/sec Train-accuracy=0.981250 | |
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| 2016-05-03 10:02:28,193 Node[0] Epoch[83] Batch [350] Speed: 609.18 samples/sec Train-accuracy=0.984062 | |
| 2016-05-03 10:02:36,823 Node[0] Epoch[83] Resetting Data Iterator | |
| 2016-05-03 10:02:36,824 Node[0] Epoch[83] Time cost=81.959 | |
| 2016-05-03 10:02:36,991 Node[0] Saved checkpoint to "cifar10/resnet-0084.params" | |
| 2016-05-03 10:02:38,905 Node[0] Epoch[83] Validation-accuracy=0.903746 | |
| 2016-05-03 10:02:49,421 Node[0] Epoch[84] Batch [50] Speed: 611.84 samples/sec Train-accuracy=0.982969 | |
| 2016-05-03 10:02:59,857 Node[0] Epoch[84] Batch [100] Speed: 613.31 samples/sec Train-accuracy=0.981250 | |
| 2016-05-03 10:03:10,307 Node[0] Epoch[84] Batch [150] Speed: 612.46 samples/sec Train-accuracy=0.983125 | |
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| 2016-05-03 10:03:31,163 Node[0] Epoch[84] Batch [250] Speed: 613.12 samples/sec Train-accuracy=0.980000 | |
| 2016-05-03 10:03:41,669 Node[0] Epoch[84] Batch [300] Speed: 609.17 samples/sec Train-accuracy=0.984531 | |
| 2016-05-03 10:03:52,165 Node[0] Epoch[84] Batch [350] Speed: 609.76 samples/sec Train-accuracy=0.986875 | |
| 2016-05-03 10:04:00,812 Node[0] Epoch[84] Resetting Data Iterator | |
| 2016-05-03 10:04:00,812 Node[0] Epoch[84] Time cost=81.907 | |
| 2016-05-03 10:04:00,976 Node[0] Saved checkpoint to "cifar10/resnet-0085.params" | |
| 2016-05-03 10:04:02,936 Node[0] Epoch[84] Validation-accuracy=0.903846 | |
| 2016-05-03 10:04:13,400 Node[0] Epoch[85] Batch [50] Speed: 614.82 samples/sec Train-accuracy=0.983281 | |
| 2016-05-03 10:04:23,821 Node[0] Epoch[85] Batch [100] Speed: 614.17 samples/sec Train-accuracy=0.984375 | |
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| 2016-05-03 10:05:15,981 Node[0] Epoch[85] Batch [350] Speed: 613.78 samples/sec Train-accuracy=0.989062 | |
| 2016-05-03 10:05:24,352 Node[0] Epoch[85] Resetting Data Iterator | |
| 2016-05-03 10:05:24,352 Node[0] Epoch[85] Time cost=81.416 | |
| 2016-05-03 10:05:24,518 Node[0] Saved checkpoint to "cifar10/resnet-0086.params" | |
| 2016-05-03 10:05:26,469 Node[0] Epoch[85] Validation-accuracy=0.903546 | |
| 2016-05-03 10:05:37,028 Node[0] Epoch[86] Batch [50] Speed: 609.32 samples/sec Train-accuracy=0.984688 | |
| 2016-05-03 10:05:47,472 Node[0] Epoch[86] Batch [100] Speed: 612.82 samples/sec Train-accuracy=0.986719 | |
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| 2016-05-03 10:06:29,242 Node[0] Epoch[86] Batch [300] Speed: 613.23 samples/sec Train-accuracy=0.988125 | |
| 2016-05-03 10:06:39,673 Node[0] Epoch[86] Batch [350] Speed: 613.59 samples/sec Train-accuracy=0.989062 | |
| 2016-05-03 10:06:48,249 Node[0] Epoch[86] Resetting Data Iterator | |
| 2016-05-03 10:06:48,250 Node[0] Epoch[86] Time cost=81.780 | |
| 2016-05-03 10:06:48,412 Node[0] Saved checkpoint to "cifar10/resnet-0087.params" | |
| 2016-05-03 10:06:50,378 Node[0] Epoch[86] Validation-accuracy=0.904647 | |
| 2016-05-03 10:07:00,994 Node[0] Epoch[87] Batch [50] Speed: 606.00 samples/sec Train-accuracy=0.985625 | |
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| 2016-05-03 10:08:03,885 Node[0] Epoch[87] Batch [350] Speed: 610.05 samples/sec Train-accuracy=0.988125 | |
| 2016-05-03 10:08:12,299 Node[0] Epoch[87] Resetting Data Iterator | |
| 2016-05-03 10:08:12,299 Node[0] Epoch[87] Time cost=81.921 | |
| 2016-05-03 10:08:12,466 Node[0] Saved checkpoint to "cifar10/resnet-0088.params" | |
| 2016-05-03 10:08:14,399 Node[0] Epoch[87] Validation-accuracy=0.903846 | |
| 2016-05-03 10:08:24,862 Node[0] Epoch[88] Batch [50] Speed: 614.93 samples/sec Train-accuracy=0.989062 | |
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| 2016-05-03 10:09:17,112 Node[0] Epoch[88] Batch [300] Speed: 614.95 samples/sec Train-accuracy=0.990469 | |
| 2016-05-03 10:09:27,662 Node[0] Epoch[88] Batch [350] Speed: 606.64 samples/sec Train-accuracy=0.989531 | |
| 2016-05-03 10:09:36,304 Node[0] Epoch[88] Resetting Data Iterator | |
| 2016-05-03 10:09:36,304 Node[0] Epoch[88] Time cost=81.905 | |
| 2016-05-03 10:09:36,468 Node[0] Saved checkpoint to "cifar10/resnet-0089.params" | |
| 2016-05-03 10:09:38,721 Node[0] Epoch[88] Validation-accuracy=0.904173 | |
| 2016-05-03 10:09:49,234 Node[0] Epoch[89] Batch [50] Speed: 612.02 samples/sec Train-accuracy=0.985156 | |
| 2016-05-03 10:09:59,715 Node[0] Epoch[89] Batch [100] Speed: 610.65 samples/sec Train-accuracy=0.989844 | |
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| 2016-05-03 10:10:41,661 Node[0] Epoch[89] Batch [300] Speed: 603.87 samples/sec Train-accuracy=0.988906 | |
| 2016-05-03 10:10:52,204 Node[0] Epoch[89] Batch [350] Speed: 607.04 samples/sec Train-accuracy=0.991250 | |
| 2016-05-03 10:11:00,754 Node[0] Epoch[89] Resetting Data Iterator | |
| 2016-05-03 10:11:00,755 Node[0] Epoch[89] Time cost=82.033 | |
| 2016-05-03 10:11:00,915 Node[0] Saved checkpoint to "cifar10/resnet-0090.params" | |
| 2016-05-03 10:11:02,809 Node[0] Epoch[89] Validation-accuracy=0.902344 | |
| 2016-05-03 10:11:13,380 Node[0] Epoch[90] Batch [50] Speed: 608.61 samples/sec Train-accuracy=0.990625 | |
| 2016-05-03 10:11:23,884 Node[0] Epoch[90] Batch [100] Speed: 609.31 samples/sec Train-accuracy=0.992656 | |
| 2016-05-03 10:11:34,275 Node[0] Epoch[90] Batch [150] Speed: 615.89 samples/sec Train-accuracy=0.991406 | |
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| 2016-05-03 10:12:05,588 Node[0] Epoch[90] Batch [300] Speed: 612.87 samples/sec Train-accuracy=0.990156 | |
| 2016-05-03 10:12:15,999 Node[0] Epoch[90] Batch [350] Speed: 614.75 samples/sec Train-accuracy=0.993125 | |
| 2016-05-03 10:12:24,385 Node[0] Epoch[90] Resetting Data Iterator | |
| 2016-05-03 10:12:24,385 Node[0] Epoch[90] Time cost=81.576 | |
| 2016-05-03 10:12:24,549 Node[0] Saved checkpoint to "cifar10/resnet-0091.params" | |
| 2016-05-03 10:12:26,520 Node[0] Epoch[90] Validation-accuracy=0.902143 | |
| 2016-05-03 10:12:37,114 Node[0] Epoch[91] Batch [50] Speed: 607.35 samples/sec Train-accuracy=0.990313 | |
| 2016-05-03 10:12:47,552 Node[0] Epoch[91] Batch [100] Speed: 613.15 samples/sec Train-accuracy=0.991094 | |
| 2016-05-03 10:12:58,002 Node[0] Epoch[91] Batch [150] Speed: 612.45 samples/sec Train-accuracy=0.990469 | |
| 2016-05-03 10:13:08,437 Node[0] Epoch[91] Batch [200] Speed: 613.32 samples/sec Train-accuracy=0.990625 | |
| 2016-05-03 10:13:18,868 Node[0] Epoch[91] Batch [250] Speed: 613.59 samples/sec Train-accuracy=0.989219 | |
| 2016-05-03 10:13:29,368 Node[0] Epoch[91] Batch [300] Speed: 609.53 samples/sec Train-accuracy=0.991094 | |
| 2016-05-03 10:13:39,865 Node[0] Epoch[91] Batch [350] Speed: 609.75 samples/sec Train-accuracy=0.990000 | |
| 2016-05-03 10:13:48,476 Node[0] Epoch[91] Resetting Data Iterator | |
| 2016-05-03 10:13:48,476 Node[0] Epoch[91] Time cost=81.956 | |
| 2016-05-03 10:13:48,642 Node[0] Saved checkpoint to "cifar10/resnet-0092.params" | |
| 2016-05-03 10:13:50,542 Node[0] Epoch[91] Validation-accuracy=0.903846 | |
| 2016-05-03 10:14:01,080 Node[0] Epoch[92] Batch [50] Speed: 610.54 samples/sec Train-accuracy=0.991094 | |
| 2016-05-03 10:14:11,544 Node[0] Epoch[92] Batch [100] Speed: 611.63 samples/sec Train-accuracy=0.990938 | |
| 2016-05-03 10:14:21,991 Node[0] Epoch[92] Batch [150] Speed: 612.64 samples/sec Train-accuracy=0.990000 | |
| 2016-05-03 10:14:32,466 Node[0] Epoch[92] Batch [200] Speed: 611.01 samples/sec Train-accuracy=0.991094 | |
| 2016-05-03 10:14:42,906 Node[0] Epoch[92] Batch [250] Speed: 613.03 samples/sec Train-accuracy=0.992188 | |
| 2016-05-03 10:14:53,321 Node[0] Epoch[92] Batch [300] Speed: 614.50 samples/sec Train-accuracy=0.992344 | |
| 2016-05-03 10:15:03,743 Node[0] Epoch[92] Batch [350] Speed: 614.09 samples/sec Train-accuracy=0.992812 | |
| 2016-05-03 10:15:12,268 Node[0] Epoch[92] Resetting Data Iterator | |
| 2016-05-03 10:15:12,268 Node[0] Epoch[92] Time cost=81.727 | |
| 2016-05-03 10:15:12,433 Node[0] Saved checkpoint to "cifar10/resnet-0093.params" | |
| 2016-05-03 10:15:14,387 Node[0] Epoch[92] Validation-accuracy=0.904447 | |
| 2016-05-03 10:15:24,906 Node[0] Epoch[93] Batch [50] Speed: 611.63 samples/sec Train-accuracy=0.988437 | |
| 2016-05-03 10:15:35,333 Node[0] Epoch[93] Batch [100] Speed: 613.80 samples/sec Train-accuracy=0.993125 | |
| 2016-05-03 10:15:45,782 Node[0] Epoch[93] Batch [150] Speed: 612.53 samples/sec Train-accuracy=0.992656 | |
| 2016-05-03 10:15:56,272 Node[0] Epoch[93] Batch [200] Speed: 610.11 samples/sec Train-accuracy=0.992500 | |
| 2016-05-03 10:16:06,720 Node[0] Epoch[93] Batch [250] Speed: 612.59 samples/sec Train-accuracy=0.990625 | |
| 2016-05-03 10:16:17,149 Node[0] Epoch[93] Batch [300] Speed: 613.71 samples/sec Train-accuracy=0.991563 | |
| 2016-05-03 10:16:27,594 Node[0] Epoch[93] Batch [350] Speed: 612.73 samples/sec Train-accuracy=0.993594 | |
| 2016-05-03 10:16:35,933 Node[0] Epoch[93] Resetting Data Iterator | |
| 2016-05-03 10:16:35,934 Node[0] Epoch[93] Time cost=81.547 | |
| 2016-05-03 10:16:36,096 Node[0] Saved checkpoint to "cifar10/resnet-0094.params" | |
| 2016-05-03 10:16:38,067 Node[0] Epoch[93] Validation-accuracy=0.904447 | |
| 2016-05-03 10:16:48,647 Node[0] Epoch[94] Batch [50] Speed: 608.08 samples/sec Train-accuracy=0.990625 | |
| 2016-05-03 10:16:59,176 Node[0] Epoch[94] Batch [100] Speed: 607.90 samples/sec Train-accuracy=0.991563 | |
| 2016-05-03 10:17:09,590 Node[0] Epoch[94] Batch [150] Speed: 614.58 samples/sec Train-accuracy=0.992031 | |
| 2016-05-03 10:17:19,990 Node[0] Epoch[94] Batch [200] Speed: 615.40 samples/sec Train-accuracy=0.992031 | |
| 2016-05-03 10:17:30,465 Node[0] Epoch[94] Batch [250] Speed: 610.94 samples/sec Train-accuracy=0.990000 | |
| 2016-05-03 10:17:40,893 Node[0] Epoch[94] Batch [300] Speed: 613.76 samples/sec Train-accuracy=0.990313 | |
| 2016-05-03 10:17:51,392 Node[0] Epoch[94] Batch [350] Speed: 609.63 samples/sec Train-accuracy=0.992656 | |
| 2016-05-03 10:17:59,936 Node[0] Epoch[94] Resetting Data Iterator | |
| 2016-05-03 10:17:59,936 Node[0] Epoch[94] Time cost=81.868 | |
| 2016-05-03 10:18:00,104 Node[0] Saved checkpoint to "cifar10/resnet-0095.params" | |
| 2016-05-03 10:18:02,063 Node[0] Epoch[94] Validation-accuracy=0.903646 | |
| 2016-05-03 10:18:12,624 Node[0] Epoch[95] Batch [50] Speed: 609.22 samples/sec Train-accuracy=0.992344 | |
| 2016-05-03 10:18:23,099 Node[0] Epoch[95] Batch [100] Speed: 610.97 samples/sec Train-accuracy=0.993594 | |
| 2016-05-03 10:18:33,524 Node[0] Epoch[95] Batch [150] Speed: 613.93 samples/sec Train-accuracy=0.992188 | |
| 2016-05-03 10:18:43,950 Node[0] Epoch[95] Batch [200] Speed: 613.85 samples/sec Train-accuracy=0.992500 | |
| 2016-05-03 10:18:54,392 Node[0] Epoch[95] Batch [250] Speed: 612.96 samples/sec Train-accuracy=0.991094 | |
| 2016-05-03 10:19:04,847 Node[0] Epoch[95] Batch [300] Speed: 612.15 samples/sec Train-accuracy=0.992656 | |
| 2016-05-03 10:19:15,260 Node[0] Epoch[95] Batch [350] Speed: 614.61 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 10:19:23,570 Node[0] Epoch[95] Resetting Data Iterator | |
| 2016-05-03 10:19:23,571 Node[0] Epoch[95] Time cost=81.508 | |
| 2016-05-03 10:19:23,736 Node[0] Saved checkpoint to "cifar10/resnet-0096.params" | |
| 2016-05-03 10:19:25,691 Node[0] Epoch[95] Validation-accuracy=0.903345 | |
| 2016-05-03 10:19:36,234 Node[0] Epoch[96] Batch [50] Speed: 610.39 samples/sec Train-accuracy=0.992500 | |
| 2016-05-03 10:19:46,777 Node[0] Epoch[96] Batch [100] Speed: 607.08 samples/sec Train-accuracy=0.989531 | |
| 2016-05-03 10:19:57,221 Node[0] Epoch[96] Batch [150] Speed: 612.78 samples/sec Train-accuracy=0.991875 | |
| 2016-05-03 10:20:07,645 Node[0] Epoch[96] Batch [200] Speed: 613.99 samples/sec Train-accuracy=0.992969 | |
| 2016-05-03 10:20:18,085 Node[0] Epoch[96] Batch [250] Speed: 613.01 samples/sec Train-accuracy=0.993281 | |
| 2016-05-03 10:20:28,481 Node[0] Epoch[96] Batch [300] Speed: 615.64 samples/sec Train-accuracy=0.993594 | |
| 2016-05-03 10:20:38,989 Node[0] Epoch[96] Batch [350] Speed: 609.10 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 10:20:47,539 Node[0] Epoch[96] Resetting Data Iterator | |
| 2016-05-03 10:20:47,539 Node[0] Epoch[96] Time cost=81.848 | |
| 2016-05-03 10:20:47,702 Node[0] Saved checkpoint to "cifar10/resnet-0097.params" | |
| 2016-05-03 10:20:49,850 Node[0] Epoch[96] Validation-accuracy=0.904964 | |
| 2016-05-03 10:21:00,370 Node[0] Epoch[97] Batch [50] Speed: 611.61 samples/sec Train-accuracy=0.993437 | |
| 2016-05-03 10:21:10,886 Node[0] Epoch[97] Batch [100] Speed: 608.62 samples/sec Train-accuracy=0.992969 | |
| 2016-05-03 10:21:21,315 Node[0] Epoch[97] Batch [150] Speed: 613.72 samples/sec Train-accuracy=0.994062 | |
| 2016-05-03 10:21:31,762 Node[0] Epoch[97] Batch [200] Speed: 612.60 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 10:21:42,250 Node[0] Epoch[97] Batch [250] Speed: 610.24 samples/sec Train-accuracy=0.991563 | |
| 2016-05-03 10:21:52,706 Node[0] Epoch[97] Batch [300] Speed: 612.10 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 10:22:03,183 Node[0] Epoch[97] Batch [350] Speed: 610.88 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 10:22:11,746 Node[0] Epoch[97] Resetting Data Iterator | |
| 2016-05-03 10:22:11,747 Node[0] Epoch[97] Time cost=81.896 | |
| 2016-05-03 10:22:11,910 Node[0] Saved checkpoint to "cifar10/resnet-0098.params" | |
| 2016-05-03 10:22:13,885 Node[0] Epoch[97] Validation-accuracy=0.905349 | |
| 2016-05-03 10:22:24,450 Node[0] Epoch[98] Batch [50] Speed: 608.95 samples/sec Train-accuracy=0.993750 | |
| 2016-05-03 10:22:34,949 Node[0] Epoch[98] Batch [100] Speed: 609.60 samples/sec Train-accuracy=0.992812 | |
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| 2016-05-03 10:22:55,768 Node[0] Epoch[98] Batch [200] Speed: 615.87 samples/sec Train-accuracy=0.993594 | |
| 2016-05-03 10:23:06,210 Node[0] Epoch[98] Batch [250] Speed: 612.95 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 10:23:16,682 Node[0] Epoch[98] Batch [300] Speed: 611.15 samples/sec Train-accuracy=0.994375 | |
| 2016-05-03 10:23:27,144 Node[0] Epoch[98] Batch [350] Speed: 611.77 samples/sec Train-accuracy=0.995469 | |
| 2016-05-03 10:23:35,506 Node[0] Epoch[98] Resetting Data Iterator | |
| 2016-05-03 10:23:35,506 Node[0] Epoch[98] Time cost=81.621 | |
| 2016-05-03 10:23:35,666 Node[0] Saved checkpoint to "cifar10/resnet-0099.params" | |
| 2016-05-03 10:23:37,625 Node[0] Epoch[98] Validation-accuracy=0.904347 | |
| 2016-05-03 10:23:48,242 Node[0] Epoch[99] Batch [50] Speed: 605.94 samples/sec Train-accuracy=0.994062 | |
| 2016-05-03 10:23:58,733 Node[0] Epoch[99] Batch [100] Speed: 610.11 samples/sec Train-accuracy=0.992969 | |
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| 2016-05-03 10:24:19,506 Node[0] Epoch[99] Batch [200] Speed: 613.94 samples/sec Train-accuracy=0.993281 | |
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| 2016-05-03 10:24:59,543 Node[0] Epoch[99] Resetting Data Iterator | |
| 2016-05-03 10:24:59,543 Node[0] Epoch[99] Time cost=81.918 | |
| 2016-05-03 10:24:59,705 Node[0] Saved checkpoint to "cifar10/resnet-0100.params" | |
| 2016-05-03 10:25:01,667 Node[0] Epoch[99] Validation-accuracy=0.904046 | |
| 2016-05-03 10:25:12,145 Node[0] Epoch[100] Batch [50] Speed: 614.04 samples/sec Train-accuracy=0.993125 | |
| 2016-05-03 10:25:22,588 Node[0] Epoch[100] Batch [100] Speed: 612.91 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 10:25:32,919 Node[0] Epoch[100] Batch [150] Speed: 619.51 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 10:25:43,352 Node[0] Epoch[100] Batch [200] Speed: 613.46 samples/sec Train-accuracy=0.996563 | |
| 2016-05-03 10:25:53,844 Node[0] Epoch[100] Batch [250] Speed: 609.98 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 10:26:04,344 Node[0] Epoch[100] Batch [300] Speed: 609.55 samples/sec Train-accuracy=0.996250 | |
| 2016-05-03 10:26:14,872 Node[0] Epoch[100] Batch [350] Speed: 607.91 samples/sec Train-accuracy=0.995781 | |
| 2016-05-03 10:26:23,407 Node[0] Epoch[100] Resetting Data Iterator | |
| 2016-05-03 10:26:23,408 Node[0] Epoch[100] Time cost=81.740 | |
| 2016-05-03 10:26:23,568 Node[0] Saved checkpoint to "cifar10/resnet-0101.params" | |
| 2016-05-03 10:26:25,514 Node[0] Epoch[100] Validation-accuracy=0.904848 | |
| 2016-05-03 10:26:36,028 Node[0] Epoch[101] Batch [50] Speed: 611.99 samples/sec Train-accuracy=0.995156 | |
| 2016-05-03 10:26:46,588 Node[0] Epoch[101] Batch [100] Speed: 606.07 samples/sec Train-accuracy=0.993906 | |
| 2016-05-03 10:26:57,004 Node[0] Epoch[101] Batch [150] Speed: 614.44 samples/sec Train-accuracy=0.993594 | |
| 2016-05-03 10:27:07,448 Node[0] Epoch[101] Batch [200] Speed: 612.81 samples/sec Train-accuracy=0.995156 | |
| 2016-05-03 10:27:17,895 Node[0] Epoch[101] Batch [250] Speed: 612.61 samples/sec Train-accuracy=0.995781 | |
| 2016-05-03 10:27:28,332 Node[0] Epoch[101] Batch [300] Speed: 613.25 samples/sec Train-accuracy=0.995313 | |
| 2016-05-03 10:27:38,777 Node[0] Epoch[101] Batch [350] Speed: 612.74 samples/sec Train-accuracy=0.994375 | |
| 2016-05-03 10:27:47,140 Node[0] Epoch[101] Resetting Data Iterator | |
| 2016-05-03 10:27:47,140 Node[0] Epoch[101] Time cost=81.626 | |
| 2016-05-03 10:27:47,301 Node[0] Saved checkpoint to "cifar10/resnet-0102.params" | |
| 2016-05-03 10:27:49,217 Node[0] Epoch[101] Validation-accuracy=0.904447 | |
| 2016-05-03 10:27:59,777 Node[0] Epoch[102] Batch [50] Speed: 609.28 samples/sec Train-accuracy=0.994219 | |
| 2016-05-03 10:28:10,350 Node[0] Epoch[102] Batch [100] Speed: 605.28 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 10:28:20,901 Node[0] Epoch[102] Batch [150] Speed: 606.62 samples/sec Train-accuracy=0.994062 | |
| 2016-05-03 10:28:31,349 Node[0] Epoch[102] Batch [200] Speed: 612.59 samples/sec Train-accuracy=0.995469 | |
| 2016-05-03 10:28:41,807 Node[0] Epoch[102] Batch [250] Speed: 611.95 samples/sec Train-accuracy=0.994531 | |
| 2016-05-03 10:28:52,199 Node[0] Epoch[102] Batch [300] Speed: 615.89 samples/sec Train-accuracy=0.994219 | |
| 2016-05-03 10:29:02,631 Node[0] Epoch[102] Batch [350] Speed: 613.54 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 10:29:11,157 Node[0] Epoch[102] Resetting Data Iterator | |
| 2016-05-03 10:29:11,157 Node[0] Epoch[102] Time cost=81.940 | |
| 2016-05-03 10:29:11,319 Node[0] Saved checkpoint to "cifar10/resnet-0103.params" | |
| 2016-05-03 10:29:13,265 Node[0] Epoch[102] Validation-accuracy=0.906851 | |
| 2016-05-03 10:29:23,890 Node[0] Epoch[103] Batch [50] Speed: 605.61 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 10:29:34,397 Node[0] Epoch[103] Batch [100] Speed: 609.16 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 10:29:44,818 Node[0] Epoch[103] Batch [150] Speed: 614.12 samples/sec Train-accuracy=0.996406 | |
| 2016-05-03 10:29:55,307 Node[0] Epoch[103] Batch [200] Speed: 610.19 samples/sec Train-accuracy=0.994844 | |
| 2016-05-03 10:30:05,768 Node[0] Epoch[103] Batch [250] Speed: 611.81 samples/sec Train-accuracy=0.995000 | |
| 2016-05-03 10:30:16,246 Node[0] Epoch[103] Batch [300] Speed: 610.82 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 10:30:26,711 Node[0] Epoch[103] Batch [350] Speed: 611.56 samples/sec Train-accuracy=0.996250 | |
| 2016-05-03 10:30:35,145 Node[0] Epoch[103] Resetting Data Iterator | |
| 2016-05-03 10:30:35,145 Node[0] Epoch[103] Time cost=81.879 | |
| 2016-05-03 10:30:35,309 Node[0] Saved checkpoint to "cifar10/resnet-0104.params" | |
| 2016-05-03 10:30:37,244 Node[0] Epoch[103] Validation-accuracy=0.906150 | |
| 2016-05-03 10:30:47,806 Node[0] Epoch[104] Batch [50] Speed: 609.22 samples/sec Train-accuracy=0.994687 | |
| 2016-05-03 10:30:58,345 Node[0] Epoch[104] Batch [100] Speed: 607.30 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 10:31:08,737 Node[0] Epoch[104] Batch [150] Speed: 615.86 samples/sec Train-accuracy=0.995313 | |
| 2016-05-03 10:31:19,163 Node[0] Epoch[104] Batch [200] Speed: 613.88 samples/sec Train-accuracy=0.995938 | |
| 2016-05-03 10:31:29,641 Node[0] Epoch[104] Batch [250] Speed: 610.80 samples/sec Train-accuracy=0.996094 | |
| 2016-05-03 10:31:40,108 Node[0] Epoch[104] Batch [300] Speed: 611.50 samples/sec Train-accuracy=0.996406 | |
| 2016-05-03 10:31:50,547 Node[0] Epoch[104] Batch [350] Speed: 613.05 samples/sec Train-accuracy=0.996719 | |
| 2016-05-03 10:32:08,233 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 10:32:08,677 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 10:32:29,622 Node[0] Epoch[0] Batch [50] Speed: 646.70 samples/sec Train-accuracy=0.104375 | |
| 2016-05-03 10:32:39,752 Node[0] Epoch[0] Batch [100] Speed: 631.80 samples/sec Train-accuracy=0.105000 | |
| 2016-05-03 10:32:49,941 Node[0] Epoch[0] Batch [150] Speed: 628.13 samples/sec Train-accuracy=0.099375 | |
| 2016-05-03 10:33:00,765 Node[0] Epoch[0] Batch [200] Speed: 591.33 samples/sec Train-accuracy=0.126562 | |
| 2016-05-03 10:33:11,817 Node[0] Epoch[0] Batch [250] Speed: 579.11 samples/sec Train-accuracy=0.127656 | |
| 2016-05-03 10:33:22,917 Node[0] Epoch[0] Batch [300] Speed: 576.59 samples/sec Train-accuracy=0.142344 | |
| 2016-05-03 10:33:33,992 Node[0] Epoch[0] Batch [350] Speed: 577.84 samples/sec Train-accuracy=0.170313 | |
| 2016-05-03 10:33:43,095 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 10:33:43,095 Node[0] Epoch[0] Time cost=83.695 | |
| 2016-05-03 10:33:43,273 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 10:33:45,428 Node[0] Epoch[0] Validation-accuracy=0.218453 | |
| 2016-05-03 10:33:56,372 Node[0] Epoch[1] Batch [50] Speed: 587.81 samples/sec Train-accuracy=0.228594 | |
| 2016-05-03 10:34:07,293 Node[0] Epoch[1] Batch [100] Speed: 586.04 samples/sec Train-accuracy=0.259375 | |
| 2016-05-03 10:34:18,189 Node[0] Epoch[1] Batch [150] Speed: 587.42 samples/sec Train-accuracy=0.278750 | |
| 2016-05-03 10:34:29,023 Node[0] Epoch[1] Batch [200] Speed: 590.73 samples/sec Train-accuracy=0.284062 | |
| 2016-05-03 10:34:39,797 Node[0] Epoch[1] Batch [250] Speed: 594.04 samples/sec Train-accuracy=0.312188 | |
| 2016-05-03 10:34:50,583 Node[0] Epoch[1] Batch [300] Speed: 593.38 samples/sec Train-accuracy=0.327500 | |
| 2016-05-03 10:35:01,371 Node[0] Epoch[1] Batch [350] Speed: 593.29 samples/sec Train-accuracy=0.346562 | |
| 2016-05-03 10:35:10,189 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 10:35:10,189 Node[0] Epoch[1] Time cost=84.761 | |
| 2016-05-03 10:35:10,361 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 10:35:12,338 Node[0] Epoch[1] Validation-accuracy=0.349459 | |
| 2016-05-03 10:35:23,224 Node[0] Epoch[2] Batch [50] Speed: 591.12 samples/sec Train-accuracy=0.383281 | |
| 2016-05-03 10:35:33,968 Node[0] Epoch[2] Batch [100] Speed: 595.69 samples/sec Train-accuracy=0.392656 | |
| 2016-05-03 10:35:44,717 Node[0] Epoch[2] Batch [150] Speed: 595.43 samples/sec Train-accuracy=0.411250 | |
| 2016-05-03 10:35:55,432 Node[0] Epoch[2] Batch [200] Speed: 597.30 samples/sec Train-accuracy=0.418594 | |
| 2016-05-03 10:36:06,102 Node[0] Epoch[2] Batch [250] Speed: 599.85 samples/sec Train-accuracy=0.431719 | |
| 2016-05-03 10:36:16,769 Node[0] Epoch[2] Batch [300] Speed: 599.97 samples/sec Train-accuracy=0.439531 | |
| 2016-05-03 10:36:27,516 Node[0] Epoch[2] Batch [350] Speed: 595.52 samples/sec Train-accuracy=0.443594 | |
| 2016-05-03 10:36:36,065 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 10:36:36,066 Node[0] Epoch[2] Time cost=83.727 | |
| 2016-05-03 10:36:36,231 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 10:36:38,180 Node[0] Epoch[2] Validation-accuracy=0.390725 | |
| 2016-05-03 10:36:48,835 Node[0] Epoch[3] Batch [50] Speed: 603.83 samples/sec Train-accuracy=0.464375 | |
| 2016-05-03 10:36:59,458 Node[0] Epoch[3] Batch [100] Speed: 602.52 samples/sec Train-accuracy=0.478281 | |
| 2016-05-03 10:37:10,054 Node[0] Epoch[3] Batch [150] Speed: 604.01 samples/sec Train-accuracy=0.488281 | |
| 2016-05-03 10:37:20,662 Node[0] Epoch[3] Batch [200] Speed: 603.34 samples/sec Train-accuracy=0.489687 | |
| 2016-05-03 10:37:31,234 Node[0] Epoch[3] Batch [250] Speed: 605.36 samples/sec Train-accuracy=0.501406 | |
| 2016-05-03 10:37:41,856 Node[0] Epoch[3] Batch [300] Speed: 602.57 samples/sec Train-accuracy=0.500781 | |
| 2016-05-03 10:37:52,515 Node[0] Epoch[3] Batch [350] Speed: 600.45 samples/sec Train-accuracy=0.523750 | |
| 2016-05-03 10:38:01,281 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 10:38:01,281 Node[0] Epoch[3] Time cost=83.100 | |
| 2016-05-03 10:38:01,449 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 10:38:03,427 Node[0] Epoch[3] Validation-accuracy=0.520633 | |
| 2016-05-03 10:38:14,079 Node[0] Epoch[4] Batch [50] Speed: 603.99 samples/sec Train-accuracy=0.535937 | |
| 2016-05-03 10:38:24,714 Node[0] Epoch[4] Batch [100] Speed: 601.81 samples/sec Train-accuracy=0.550937 | |
| 2016-05-03 10:38:35,350 Node[0] Epoch[4] Batch [150] Speed: 601.74 samples/sec Train-accuracy=0.567969 | |
| 2016-05-03 10:38:45,965 Node[0] Epoch[4] Batch [200] Speed: 602.93 samples/sec Train-accuracy=0.572187 | |
| 2016-05-03 10:38:56,578 Node[0] Epoch[4] Batch [250] Speed: 603.08 samples/sec Train-accuracy=0.568906 | |
| 2016-05-03 10:39:07,186 Node[0] Epoch[4] Batch [300] Speed: 603.29 samples/sec Train-accuracy=0.580625 | |
| 2016-05-03 10:39:17,761 Node[0] Epoch[4] Batch [350] Speed: 605.24 samples/sec Train-accuracy=0.594531 | |
| 2016-05-03 10:39:26,419 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 10:39:26,419 Node[0] Epoch[4] Time cost=82.992 | |
| 2016-05-03 10:39:26,585 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 10:39:28,533 Node[0] Epoch[4] Validation-accuracy=0.482672 | |
| 2016-05-03 10:39:39,100 Node[0] Epoch[5] Batch [50] Speed: 608.78 samples/sec Train-accuracy=0.604531 | |
| 2016-05-03 10:39:49,722 Node[0] Epoch[5] Batch [100] Speed: 602.53 samples/sec Train-accuracy=0.623437 | |
| 2016-05-03 10:40:00,304 Node[0] Epoch[5] Batch [150] Speed: 604.84 samples/sec Train-accuracy=0.626094 | |
| 2016-05-03 10:40:10,871 Node[0] Epoch[5] Batch [200] Speed: 605.66 samples/sec Train-accuracy=0.644531 | |
| 2016-05-03 10:40:21,386 Node[0] Epoch[5] Batch [250] Speed: 608.66 samples/sec Train-accuracy=0.640938 | |
| 2016-05-03 10:40:31,916 Node[0] Epoch[5] Batch [300] Speed: 607.78 samples/sec Train-accuracy=0.645312 | |
| 2016-05-03 10:40:42,462 Node[0] Epoch[5] Batch [350] Speed: 606.89 samples/sec Train-accuracy=0.650312 | |
| 2016-05-03 10:40:50,881 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 10:40:50,881 Node[0] Epoch[5] Time cost=82.348 | |
| 2016-05-03 10:40:51,044 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 10:40:53,012 Node[0] Epoch[5] Validation-accuracy=0.590845 | |
| 2016-05-03 10:41:03,664 Node[0] Epoch[6] Batch [50] Speed: 603.93 samples/sec Train-accuracy=0.665625 | |
| 2016-05-03 10:41:14,245 Node[0] Epoch[6] Batch [100] Speed: 604.88 samples/sec Train-accuracy=0.668125 | |
| 2016-05-03 10:41:24,812 Node[0] Epoch[6] Batch [150] Speed: 605.72 samples/sec Train-accuracy=0.681875 | |
| 2016-05-03 10:41:35,351 Node[0] Epoch[6] Batch [200] Speed: 607.27 samples/sec Train-accuracy=0.679219 | |
| 2016-05-03 10:41:45,904 Node[0] Epoch[6] Batch [250] Speed: 606.46 samples/sec Train-accuracy=0.683594 | |
| 2016-05-03 10:41:56,430 Node[0] Epoch[6] Batch [300] Speed: 608.05 samples/sec Train-accuracy=0.687500 | |
| 2016-05-03 10:42:06,941 Node[0] Epoch[6] Batch [350] Speed: 608.88 samples/sec Train-accuracy=0.703438 | |
| 2016-05-03 10:42:15,573 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 10:42:15,573 Node[0] Epoch[6] Time cost=82.561 | |
| 2016-05-03 10:42:15,736 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 10:42:17,675 Node[0] Epoch[6] Validation-accuracy=0.629407 | |
| 2016-05-03 10:42:28,275 Node[0] Epoch[7] Batch [50] Speed: 606.96 samples/sec Train-accuracy=0.708125 | |
| 2016-05-03 10:42:38,843 Node[0] Epoch[7] Batch [100] Speed: 605.66 samples/sec Train-accuracy=0.707031 | |
| 2016-05-03 10:42:49,399 Node[0] Epoch[7] Batch [150] Speed: 606.26 samples/sec Train-accuracy=0.720000 | |
| 2016-05-03 10:42:59,942 Node[0] Epoch[7] Batch [200] Speed: 607.09 samples/sec Train-accuracy=0.723281 | |
| 2016-05-03 10:43:10,537 Node[0] Epoch[7] Batch [250] Speed: 604.04 samples/sec Train-accuracy=0.717344 | |
| 2016-05-03 10:43:21,058 Node[0] Epoch[7] Batch [300] Speed: 608.34 samples/sec Train-accuracy=0.712344 | |
| 2016-05-03 10:43:31,611 Node[0] Epoch[7] Batch [350] Speed: 606.51 samples/sec Train-accuracy=0.730000 | |
| 2016-05-03 10:43:40,032 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 10:43:40,032 Node[0] Epoch[7] Time cost=82.356 | |
| 2016-05-03 10:43:40,198 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 10:43:42,108 Node[0] Epoch[7] Validation-accuracy=0.660757 | |
| 2016-05-03 10:43:52,609 Node[0] Epoch[8] Batch [50] Speed: 612.77 samples/sec Train-accuracy=0.728281 | |
| 2016-05-03 10:44:03,117 Node[0] Epoch[8] Batch [100] Speed: 609.03 samples/sec Train-accuracy=0.733750 | |
| 2016-05-03 10:44:13,549 Node[0] Epoch[8] Batch [150] Speed: 613.52 samples/sec Train-accuracy=0.740781 | |
| 2016-05-03 10:44:24,050 Node[0] Epoch[8] Batch [200] Speed: 609.48 samples/sec Train-accuracy=0.739688 | |
| 2016-05-03 10:44:34,551 Node[0] Epoch[8] Batch [250] Speed: 609.49 samples/sec Train-accuracy=0.741875 | |
| 2016-05-03 10:44:45,140 Node[0] Epoch[8] Batch [300] Speed: 604.42 samples/sec Train-accuracy=0.743125 | |
| 2016-05-03 10:44:55,693 Node[0] Epoch[8] Batch [350] Speed: 606.47 samples/sec Train-accuracy=0.744375 | |
| 2016-05-03 10:45:04,277 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 10:45:04,278 Node[0] Epoch[8] Time cost=82.169 | |
| 2016-05-03 10:45:04,444 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 10:45:06,525 Node[0] Epoch[8] Validation-accuracy=0.672765 | |
| 2016-05-03 10:45:17,062 Node[0] Epoch[9] Batch [50] Speed: 610.53 samples/sec Train-accuracy=0.746094 | |
| 2016-05-03 10:45:27,540 Node[0] Epoch[9] Batch [100] Speed: 610.82 samples/sec Train-accuracy=0.759219 | |
| 2016-05-03 10:45:37,989 Node[0] Epoch[9] Batch [150] Speed: 612.50 samples/sec Train-accuracy=0.763750 | |
| 2016-05-03 10:45:48,469 Node[0] Epoch[9] Batch [200] Speed: 610.73 samples/sec Train-accuracy=0.754219 | |
| 2016-05-03 10:45:58,902 Node[0] Epoch[9] Batch [250] Speed: 613.43 samples/sec Train-accuracy=0.756250 | |
| 2016-05-03 10:46:09,374 Node[0] Epoch[9] Batch [300] Speed: 611.20 samples/sec Train-accuracy=0.758906 | |
| 2016-05-03 10:46:19,813 Node[0] Epoch[9] Batch [350] Speed: 613.08 samples/sec Train-accuracy=0.768437 | |
| 2016-05-03 10:46:28,444 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 10:46:28,445 Node[0] Epoch[9] Time cost=81.920 | |
| 2016-05-03 10:46:28,609 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 10:46:30,577 Node[0] Epoch[9] Validation-accuracy=0.691707 | |
| 2016-05-03 10:46:41,162 Node[0] Epoch[10] Batch [50] Speed: 607.77 samples/sec Train-accuracy=0.764375 | |
| 2016-05-03 10:46:51,683 Node[0] Epoch[10] Batch [100] Speed: 608.30 samples/sec Train-accuracy=0.775781 | |
| 2016-05-03 10:47:02,108 Node[0] Epoch[10] Batch [150] Speed: 613.95 samples/sec Train-accuracy=0.777500 | |
| 2016-05-03 10:47:12,567 Node[0] Epoch[10] Batch [200] Speed: 611.90 samples/sec Train-accuracy=0.778594 | |
| 2016-05-03 10:47:23,038 Node[0] Epoch[10] Batch [250] Speed: 611.23 samples/sec Train-accuracy=0.771406 | |
| 2016-05-03 10:47:33,520 Node[0] Epoch[10] Batch [300] Speed: 610.63 samples/sec Train-accuracy=0.775625 | |
| 2016-05-03 10:47:43,930 Node[0] Epoch[10] Batch [350] Speed: 614.77 samples/sec Train-accuracy=0.780781 | |
| 2016-05-03 10:47:52,308 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 10:47:52,308 Node[0] Epoch[10] Time cost=81.731 | |
| 2016-05-03 10:47:52,471 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 10:47:54,461 Node[0] Epoch[10] Validation-accuracy=0.661859 | |
| 2016-05-03 10:48:05,092 Node[0] Epoch[11] Batch [50] Speed: 605.22 samples/sec Train-accuracy=0.775156 | |
| 2016-05-03 10:48:15,627 Node[0] Epoch[11] Batch [100] Speed: 607.48 samples/sec Train-accuracy=0.789844 | |
| 2016-05-03 10:48:26,122 Node[0] Epoch[11] Batch [150] Speed: 609.87 samples/sec Train-accuracy=0.798125 | |
| 2016-05-03 10:48:36,558 Node[0] Epoch[11] Batch [200] Speed: 613.24 samples/sec Train-accuracy=0.790625 | |
| 2016-05-03 10:48:46,973 Node[0] Epoch[11] Batch [250] Speed: 614.56 samples/sec Train-accuracy=0.787813 | |
| 2016-05-03 10:48:57,431 Node[0] Epoch[11] Batch [300] Speed: 611.94 samples/sec Train-accuracy=0.789375 | |
| 2016-05-03 10:49:07,864 Node[0] Epoch[11] Batch [350] Speed: 613.46 samples/sec Train-accuracy=0.792500 | |
| 2016-05-03 10:49:16,405 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 10:49:16,405 Node[0] Epoch[11] Time cost=81.944 | |
| 2016-05-03 10:49:16,571 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 10:49:18,511 Node[0] Epoch[11] Validation-accuracy=0.676182 | |
| 2016-05-03 10:49:29,099 Node[0] Epoch[12] Batch [50] Speed: 607.62 samples/sec Train-accuracy=0.798281 | |
| 2016-05-03 10:49:39,548 Node[0] Epoch[12] Batch [100] Speed: 612.55 samples/sec Train-accuracy=0.799687 | |
| 2016-05-03 10:49:50,021 Node[0] Epoch[12] Batch [150] Speed: 611.09 samples/sec Train-accuracy=0.812969 | |
| 2016-05-03 10:50:00,472 Node[0] Epoch[12] Batch [200] Speed: 612.41 samples/sec Train-accuracy=0.796250 | |
| 2016-05-03 10:50:10,912 Node[0] Epoch[12] Batch [250] Speed: 613.02 samples/sec Train-accuracy=0.799063 | |
| 2016-05-03 10:50:21,315 Node[0] Epoch[12] Batch [300] Speed: 615.23 samples/sec Train-accuracy=0.810937 | |
| 2016-05-03 10:50:31,784 Node[0] Epoch[12] Batch [350] Speed: 611.37 samples/sec Train-accuracy=0.807344 | |
| 2016-05-03 10:50:40,346 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 10:50:40,347 Node[0] Epoch[12] Time cost=81.835 | |
| 2016-05-03 10:50:40,512 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 10:50:42,479 Node[0] Epoch[12] Validation-accuracy=0.706130 | |
| 2016-05-03 11:01:36,929 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:01:37,305 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 11:01:58,570 Node[0] Epoch[0] Batch [50] Speed: 654.21 samples/sec Train-accuracy=0.106250 | |
| 2016-05-03 11:02:08,563 Node[0] Epoch[0] Batch [100] Speed: 640.46 samples/sec Train-accuracy=0.178437 | |
| 2016-05-03 11:02:18,574 Node[0] Epoch[0] Batch [150] Speed: 639.33 samples/sec Train-accuracy=0.232656 | |
| 2016-05-03 11:02:28,705 Node[0] Epoch[0] Batch [200] Speed: 631.73 samples/sec Train-accuracy=0.264219 | |
| 2016-05-03 11:02:38,744 Node[0] Epoch[0] Batch [250] Speed: 637.53 samples/sec Train-accuracy=0.287813 | |
| 2016-05-03 11:02:48,819 Node[0] Epoch[0] Batch [300] Speed: 635.27 samples/sec Train-accuracy=0.319219 | |
| 2016-05-03 11:02:58,935 Node[0] Epoch[0] Batch [350] Speed: 632.70 samples/sec Train-accuracy=0.330000 | |
| 2016-05-03 11:03:07,442 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 11:03:07,443 Node[0] Epoch[0] Time cost=78.997 | |
| 2016-05-03 11:03:07,608 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 11:03:09,786 Node[0] Epoch[0] Validation-accuracy=0.323873 | |
| 2016-05-03 11:03:20,558 Node[0] Epoch[1] Batch [50] Speed: 597.29 samples/sec Train-accuracy=0.368750 | |
| 2016-05-03 11:03:31,144 Node[0] Epoch[1] Batch [100] Speed: 604.57 samples/sec Train-accuracy=0.402500 | |
| 2016-05-03 11:03:41,676 Node[0] Epoch[1] Batch [150] Speed: 607.73 samples/sec Train-accuracy=0.406719 | |
| 2016-05-03 11:03:52,192 Node[0] Epoch[1] Batch [200] Speed: 608.61 samples/sec Train-accuracy=0.407187 | |
| 2016-05-03 11:04:02,728 Node[0] Epoch[1] Batch [250] Speed: 607.43 samples/sec Train-accuracy=0.430312 | |
| 2016-05-03 11:04:13,322 Node[0] Epoch[1] Batch [300] Speed: 604.12 samples/sec Train-accuracy=0.433906 | |
| 2016-05-03 11:04:23,901 Node[0] Epoch[1] Batch [350] Speed: 605.03 samples/sec Train-accuracy=0.441406 | |
| 2016-05-03 11:04:32,514 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 11:04:32,515 Node[0] Epoch[1] Time cost=82.728 | |
| 2016-05-03 11:04:32,678 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 11:04:34,662 Node[0] Epoch[1] Validation-accuracy=0.470353 | |
| 2016-05-03 11:04:45,388 Node[0] Epoch[2] Batch [50] Speed: 599.77 samples/sec Train-accuracy=0.466094 | |
| 2016-05-03 11:05:06,278 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:05:06,627 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 11:05:27,530 Node[0] Epoch[0] Batch [50] Speed: 648.99 samples/sec Train-accuracy=0.121406 | |
| 2016-05-03 11:05:37,602 Node[0] Epoch[0] Batch [100] Speed: 635.41 samples/sec Train-accuracy=0.128906 | |
| 2016-05-03 11:05:47,629 Node[0] Epoch[0] Batch [150] Speed: 638.30 samples/sec Train-accuracy=0.170156 | |
| 2016-05-03 11:05:57,942 Node[0] Epoch[0] Batch [200] Speed: 620.57 samples/sec Train-accuracy=0.200469 | |
| 2016-05-03 11:06:08,798 Node[0] Epoch[0] Batch [250] Speed: 589.59 samples/sec Train-accuracy=0.252812 | |
| 2016-05-03 11:06:19,667 Node[0] Epoch[0] Batch [300] Speed: 588.81 samples/sec Train-accuracy=0.283281 | |
| 2016-05-03 11:06:30,514 Node[0] Epoch[0] Batch [350] Speed: 590.06 samples/sec Train-accuracy=0.312812 | |
| 2016-05-03 11:06:39,387 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 11:06:39,387 Node[0] Epoch[0] Time cost=81.985 | |
| 2016-05-03 11:06:39,554 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 11:06:41,718 Node[0] Epoch[0] Validation-accuracy=0.325356 | |
| 2016-05-03 11:06:52,398 Node[0] Epoch[1] Batch [50] Speed: 602.42 samples/sec Train-accuracy=0.349219 | |
| 2016-05-03 11:07:03,099 Node[0] Epoch[1] Batch [100] Speed: 598.08 samples/sec Train-accuracy=0.385937 | |
| 2016-05-03 11:07:13,794 Node[0] Epoch[1] Batch [150] Speed: 598.42 samples/sec Train-accuracy=0.400469 | |
| 2016-05-03 11:07:24,491 Node[0] Epoch[1] Batch [200] Speed: 598.29 samples/sec Train-accuracy=0.397188 | |
| 2016-05-03 11:07:35,168 Node[0] Epoch[1] Batch [250] Speed: 599.47 samples/sec Train-accuracy=0.429375 | |
| 2016-05-03 11:07:45,851 Node[0] Epoch[1] Batch [300] Speed: 599.07 samples/sec Train-accuracy=0.432656 | |
| 2016-05-03 11:07:56,516 Node[0] Epoch[1] Batch [350] Speed: 600.11 samples/sec Train-accuracy=0.446406 | |
| 2016-05-03 11:08:05,287 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 11:08:05,287 Node[0] Epoch[1] Time cost=83.569 | |
| 2016-05-03 11:08:05,457 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 11:08:07,434 Node[0] Epoch[1] Validation-accuracy=0.411659 | |
| 2016-05-03 11:08:41,787 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:08:42,129 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 11:09:02,977 Node[0] Epoch[0] Batch [50] Speed: 649.00 samples/sec Train-accuracy=0.096406 | |
| 2016-05-03 11:09:13,058 Node[0] Epoch[0] Batch [100] Speed: 634.88 samples/sec Train-accuracy=0.109219 | |
| 2016-05-03 11:09:23,144 Node[0] Epoch[0] Batch [150] Speed: 634.51 samples/sec Train-accuracy=0.127656 | |
| 2016-05-03 11:09:33,618 Node[0] Epoch[0] Batch [200] Speed: 611.09 samples/sec Train-accuracy=0.185312 | |
| 2016-05-03 11:09:44,546 Node[0] Epoch[0] Batch [250] Speed: 585.62 samples/sec Train-accuracy=0.219219 | |
| 2016-05-03 11:09:55,540 Node[0] Epoch[0] Batch [300] Speed: 582.19 samples/sec Train-accuracy=0.252031 | |
| 2016-05-03 11:10:06,581 Node[0] Epoch[0] Batch [350] Speed: 579.67 samples/sec Train-accuracy=0.263906 | |
| 2016-05-03 11:10:15,602 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 11:10:15,602 Node[0] Epoch[0] Time cost=82.760 | |
| 2016-05-03 11:10:15,780 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 11:10:17,935 Node[0] Epoch[0] Validation-accuracy=0.245253 | |
| 2016-05-03 11:10:28,813 Node[0] Epoch[1] Batch [50] Speed: 591.50 samples/sec Train-accuracy=0.310781 | |
| 2016-05-03 11:10:39,670 Node[0] Epoch[1] Batch [100] Speed: 589.50 samples/sec Train-accuracy=0.343438 | |
| 2016-05-03 11:10:50,454 Node[0] Epoch[1] Batch [150] Speed: 593.47 samples/sec Train-accuracy=0.361406 | |
| 2016-05-03 11:11:01,239 Node[0] Epoch[1] Batch [200] Speed: 593.43 samples/sec Train-accuracy=0.374219 | |
| 2016-05-03 11:11:11,985 Node[0] Epoch[1] Batch [250] Speed: 595.61 samples/sec Train-accuracy=0.396875 | |
| 2016-05-03 11:11:22,732 Node[0] Epoch[1] Batch [300] Speed: 595.50 samples/sec Train-accuracy=0.399219 | |
| 2016-05-03 11:11:33,510 Node[0] Epoch[1] Batch [350] Speed: 593.80 samples/sec Train-accuracy=0.407187 | |
| 2016-05-03 11:11:42,354 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 11:11:42,354 Node[0] Epoch[1] Time cost=84.419 | |
| 2016-05-03 11:11:42,524 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 11:11:44,454 Node[0] Epoch[1] Validation-accuracy=0.402544 | |
| 2016-05-03 11:13:02,379 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:13:24,582 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:13:31,559 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:13:31,994 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 11:13:52,895 Node[0] Epoch[0] Batch [50] Speed: 655.68 samples/sec Train-accuracy=0.103281 | |
| 2016-05-03 11:14:02,951 Node[0] Epoch[0] Batch [100] Speed: 636.45 samples/sec Train-accuracy=0.109844 | |
| 2016-05-03 11:14:13,005 Node[0] Epoch[0] Batch [150] Speed: 636.57 samples/sec Train-accuracy=0.125312 | |
| 2016-05-03 11:14:23,094 Node[0] Epoch[0] Batch [200] Speed: 634.37 samples/sec Train-accuracy=0.158438 | |
| 2016-05-03 11:14:33,194 Node[0] Epoch[0] Batch [250] Speed: 633.70 samples/sec Train-accuracy=0.185000 | |
| 2016-05-03 11:14:43,829 Node[0] Epoch[0] Batch [300] Speed: 601.80 samples/sec Train-accuracy=0.230937 | |
| 2016-05-03 11:14:54,575 Node[0] Epoch[0] Batch [350] Speed: 595.56 samples/sec Train-accuracy=0.282187 | |
| 2016-05-03 11:15:03,375 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 11:15:03,376 Node[0] Epoch[0] Time cost=80.505 | |
| 2016-05-03 11:15:03,542 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 11:15:05,817 Node[0] Epoch[0] Validation-accuracy=0.330795 | |
| 2016-05-03 11:15:16,734 Node[0] Epoch[1] Batch [50] Speed: 589.28 samples/sec Train-accuracy=0.344687 | |
| 2016-05-03 11:15:27,476 Node[0] Epoch[1] Batch [100] Speed: 595.84 samples/sec Train-accuracy=0.372031 | |
| 2016-05-03 11:15:38,152 Node[0] Epoch[1] Batch [150] Speed: 599.46 samples/sec Train-accuracy=0.396406 | |
| 2016-05-03 11:15:48,847 Node[0] Epoch[1] Batch [200] Speed: 598.41 samples/sec Train-accuracy=0.409219 | |
| 2016-05-03 11:15:59,528 Node[0] Epoch[1] Batch [250] Speed: 599.23 samples/sec Train-accuracy=0.440469 | |
| 2016-05-03 11:16:10,173 Node[0] Epoch[1] Batch [300] Speed: 601.25 samples/sec Train-accuracy=0.462500 | |
| 2016-05-03 11:16:20,823 Node[0] Epoch[1] Batch [350] Speed: 600.94 samples/sec Train-accuracy=0.488906 | |
| 2016-05-03 11:16:29,541 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 11:16:29,542 Node[0] Epoch[1] Time cost=83.725 | |
| 2016-05-03 11:16:29,710 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 11:16:31,703 Node[0] Epoch[1] Validation-accuracy=0.512821 | |
| 2016-05-03 11:16:42,429 Node[0] Epoch[2] Batch [50] Speed: 599.83 samples/sec Train-accuracy=0.516875 | |
| 2016-05-03 11:16:53,085 Node[0] Epoch[2] Batch [100] Speed: 600.59 samples/sec Train-accuracy=0.539062 | |
| 2016-05-03 11:17:03,721 Node[0] Epoch[2] Batch [150] Speed: 601.76 samples/sec Train-accuracy=0.533125 | |
| 2016-05-03 11:17:14,299 Node[0] Epoch[2] Batch [200] Speed: 605.02 samples/sec Train-accuracy=0.545781 | |
| 2016-05-03 11:17:24,879 Node[0] Epoch[2] Batch [250] Speed: 604.96 samples/sec Train-accuracy=0.560781 | |
| 2016-05-03 11:17:35,438 Node[0] Epoch[2] Batch [300] Speed: 606.10 samples/sec Train-accuracy=0.573125 | |
| 2016-05-03 11:17:45,993 Node[0] Epoch[2] Batch [350] Speed: 606.39 samples/sec Train-accuracy=0.577969 | |
| 2016-05-03 11:17:54,460 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 11:17:54,460 Node[0] Epoch[2] Time cost=82.757 | |
| 2016-05-03 11:17:54,632 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 11:17:56,628 Node[0] Epoch[2] Validation-accuracy=0.592748 | |
| 2016-05-03 11:18:07,343 Node[0] Epoch[3] Batch [50] Speed: 600.45 samples/sec Train-accuracy=0.595000 | |
| 2016-05-03 11:18:17,944 Node[0] Epoch[3] Batch [100] Speed: 603.77 samples/sec Train-accuracy=0.605781 | |
| 2016-05-03 11:18:28,469 Node[0] Epoch[3] Batch [150] Speed: 608.08 samples/sec Train-accuracy=0.621250 | |
| 2016-05-03 11:18:38,951 Node[0] Epoch[3] Batch [200] Speed: 610.61 samples/sec Train-accuracy=0.617500 | |
| 2016-05-03 11:18:49,423 Node[0] Epoch[3] Batch [250] Speed: 611.13 samples/sec Train-accuracy=0.622031 | |
| 2016-05-03 11:18:59,894 Node[0] Epoch[3] Batch [300] Speed: 611.24 samples/sec Train-accuracy=0.625469 | |
| 2016-05-03 11:19:10,422 Node[0] Epoch[3] Batch [350] Speed: 607.93 samples/sec Train-accuracy=0.641094 | |
| 2016-05-03 11:19:19,046 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 11:19:19,046 Node[0] Epoch[3] Time cost=82.417 | |
| 2016-05-03 11:19:19,211 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 11:19:21,160 Node[0] Epoch[3] Validation-accuracy=0.626302 | |
| 2016-05-03 11:19:31,716 Node[0] Epoch[4] Batch [50] Speed: 609.51 samples/sec Train-accuracy=0.648594 | |
| 2016-05-03 11:19:42,277 Node[0] Epoch[4] Batch [100] Speed: 605.99 samples/sec Train-accuracy=0.651563 | |
| 2016-05-03 11:19:52,789 Node[0] Epoch[4] Batch [150] Speed: 608.86 samples/sec Train-accuracy=0.669687 | |
| 2016-05-03 11:20:03,289 Node[0] Epoch[4] Batch [200] Speed: 609.53 samples/sec Train-accuracy=0.665156 | |
| 2016-05-03 11:20:13,779 Node[0] Epoch[4] Batch [250] Speed: 610.12 samples/sec Train-accuracy=0.672500 | |
| 2016-05-03 11:20:24,290 Node[0] Epoch[4] Batch [300] Speed: 608.94 samples/sec Train-accuracy=0.680781 | |
| 2016-05-03 11:20:34,801 Node[0] Epoch[4] Batch [350] Speed: 608.88 samples/sec Train-accuracy=0.684688 | |
| 2016-05-03 11:20:43,420 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 11:20:43,420 Node[0] Epoch[4] Time cost=82.260 | |
| 2016-05-03 11:20:43,585 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 11:20:45,511 Node[0] Epoch[4] Validation-accuracy=0.670773 | |
| 2016-05-03 11:20:56,044 Node[0] Epoch[5] Batch [50] Speed: 610.81 samples/sec Train-accuracy=0.688125 | |
| 2016-05-03 11:21:06,632 Node[0] Epoch[5] Batch [100] Speed: 604.51 samples/sec Train-accuracy=0.699531 | |
| 2016-05-03 11:21:17,071 Node[0] Epoch[5] Batch [150] Speed: 613.05 samples/sec Train-accuracy=0.704844 | |
| 2016-05-03 11:21:27,444 Node[0] Epoch[5] Batch [200] Speed: 617.00 samples/sec Train-accuracy=0.710625 | |
| 2016-05-03 11:21:37,897 Node[0] Epoch[5] Batch [250] Speed: 612.29 samples/sec Train-accuracy=0.700937 | |
| 2016-05-03 11:21:48,421 Node[0] Epoch[5] Batch [300] Speed: 608.17 samples/sec Train-accuracy=0.714219 | |
| 2016-05-03 11:21:58,880 Node[0] Epoch[5] Batch [350] Speed: 611.90 samples/sec Train-accuracy=0.717812 | |
| 2016-05-03 11:22:07,292 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 11:22:07,292 Node[0] Epoch[5] Time cost=81.780 | |
| 2016-05-03 11:22:07,456 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 11:22:09,363 Node[0] Epoch[5] Validation-accuracy=0.708233 | |
| 2016-05-03 11:22:19,712 Node[0] Epoch[6] Batch [50] Speed: 621.68 samples/sec Train-accuracy=0.720156 | |
| 2016-05-03 11:22:30,062 Node[0] Epoch[6] Batch [100] Speed: 618.41 samples/sec Train-accuracy=0.732187 | |
| 2016-05-03 11:22:40,572 Node[0] Epoch[6] Batch [150] Speed: 608.95 samples/sec Train-accuracy=0.744844 | |
| 2016-05-03 11:22:51,013 Node[0] Epoch[6] Batch [200] Speed: 613.00 samples/sec Train-accuracy=0.746094 | |
| 2016-05-03 11:23:01,449 Node[0] Epoch[6] Batch [250] Speed: 613.25 samples/sec Train-accuracy=0.733750 | |
| 2016-05-03 11:23:11,888 Node[0] Epoch[6] Batch [300] Speed: 613.11 samples/sec Train-accuracy=0.745781 | |
| 2016-05-03 11:23:22,285 Node[0] Epoch[6] Batch [350] Speed: 615.59 samples/sec Train-accuracy=0.749531 | |
| 2016-05-03 11:23:30,829 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 11:23:30,829 Node[0] Epoch[6] Time cost=81.467 | |
| 2016-05-03 11:23:30,997 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 11:23:32,921 Node[0] Epoch[6] Validation-accuracy=0.720753 | |
| 2016-05-03 11:23:43,419 Node[0] Epoch[7] Batch [50] Speed: 612.84 samples/sec Train-accuracy=0.739531 | |
| 2016-05-03 11:23:53,893 Node[0] Epoch[7] Batch [100] Speed: 611.06 samples/sec Train-accuracy=0.756563 | |
| 2016-05-03 11:24:04,320 Node[0] Epoch[7] Batch [150] Speed: 613.82 samples/sec Train-accuracy=0.761719 | |
| 2016-05-03 11:24:14,778 Node[0] Epoch[7] Batch [200] Speed: 612.01 samples/sec Train-accuracy=0.758906 | |
| 2016-05-03 11:24:25,218 Node[0] Epoch[7] Batch [250] Speed: 613.04 samples/sec Train-accuracy=0.750938 | |
| 2016-05-03 11:24:35,634 Node[0] Epoch[7] Batch [300] Speed: 614.46 samples/sec Train-accuracy=0.758437 | |
| 2016-05-03 11:24:46,019 Node[0] Epoch[7] Batch [350] Speed: 616.26 samples/sec Train-accuracy=0.768906 | |
| 2016-05-03 11:24:54,357 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 11:24:54,357 Node[0] Epoch[7] Time cost=81.437 | |
| 2016-05-03 11:24:54,524 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 11:24:56,466 Node[0] Epoch[7] Validation-accuracy=0.683994 | |
| 2016-05-03 11:25:07,013 Node[0] Epoch[8] Batch [50] Speed: 610.15 samples/sec Train-accuracy=0.764375 | |
| 2016-05-03 11:25:17,406 Node[0] Epoch[8] Batch [100] Speed: 615.84 samples/sec Train-accuracy=0.777344 | |
| 2016-05-03 11:25:27,802 Node[0] Epoch[8] Batch [150] Speed: 615.63 samples/sec Train-accuracy=0.781563 | |
| 2016-05-03 11:25:38,236 Node[0] Epoch[8] Batch [200] Speed: 613.41 samples/sec Train-accuracy=0.769531 | |
| 2016-05-03 11:25:48,628 Node[0] Epoch[8] Batch [250] Speed: 615.84 samples/sec Train-accuracy=0.773906 | |
| 2016-05-03 11:25:59,042 Node[0] Epoch[8] Batch [300] Speed: 614.61 samples/sec Train-accuracy=0.786563 | |
| 2016-05-03 11:26:09,450 Node[0] Epoch[8] Batch [350] Speed: 614.94 samples/sec Train-accuracy=0.775625 | |
| 2016-05-03 11:26:17,941 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 11:26:17,941 Node[0] Epoch[8] Time cost=81.475 | |
| 2016-05-03 11:26:18,105 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 11:26:20,181 Node[0] Epoch[8] Validation-accuracy=0.715190 | |
| 2016-05-03 11:26:30,664 Node[0] Epoch[9] Batch [50] Speed: 613.71 samples/sec Train-accuracy=0.778125 | |
| 2016-05-03 11:26:41,140 Node[0] Epoch[9] Batch [100] Speed: 610.93 samples/sec Train-accuracy=0.791250 | |
| 2016-05-03 11:26:51,548 Node[0] Epoch[9] Batch [150] Speed: 614.95 samples/sec Train-accuracy=0.793125 | |
| 2016-05-03 11:27:01,934 Node[0] Epoch[9] Batch [200] Speed: 616.23 samples/sec Train-accuracy=0.790156 | |
| 2016-05-03 11:27:12,367 Node[0] Epoch[9] Batch [250] Speed: 613.44 samples/sec Train-accuracy=0.778125 | |
| 2016-05-03 11:27:22,789 Node[0] Epoch[9] Batch [300] Speed: 614.11 samples/sec Train-accuracy=0.797031 | |
| 2016-05-03 11:27:33,180 Node[0] Epoch[9] Batch [350] Speed: 615.89 samples/sec Train-accuracy=0.796094 | |
| 2016-05-03 11:27:41,732 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 11:27:41,733 Node[0] Epoch[9] Time cost=81.552 | |
| 2016-05-03 11:27:41,895 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 11:27:43,846 Node[0] Epoch[9] Validation-accuracy=0.704928 | |
| 2016-05-03 11:27:54,362 Node[0] Epoch[10] Batch [50] Speed: 611.75 samples/sec Train-accuracy=0.792813 | |
| 2016-05-03 11:28:04,752 Node[0] Epoch[10] Batch [100] Speed: 615.99 samples/sec Train-accuracy=0.801875 | |
| 2016-05-03 11:28:15,166 Node[0] Epoch[10] Batch [150] Speed: 614.60 samples/sec Train-accuracy=0.806562 | |
| 2016-05-03 11:28:25,574 Node[0] Epoch[10] Batch [200] Speed: 614.94 samples/sec Train-accuracy=0.803281 | |
| 2016-05-03 11:28:35,979 Node[0] Epoch[10] Batch [250] Speed: 615.06 samples/sec Train-accuracy=0.799531 | |
| 2016-05-03 11:28:46,353 Node[0] Epoch[10] Batch [300] Speed: 617.00 samples/sec Train-accuracy=0.807344 | |
| 2016-05-03 11:28:56,765 Node[0] Epoch[10] Batch [350] Speed: 614.68 samples/sec Train-accuracy=0.806094 | |
| 2016-05-03 11:29:05,084 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 11:29:05,084 Node[0] Epoch[10] Time cost=81.238 | |
| 2016-05-03 11:29:05,250 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 11:29:07,206 Node[0] Epoch[10] Validation-accuracy=0.720853 | |
| 2016-05-03 11:29:17,684 Node[0] Epoch[11] Batch [50] Speed: 614.09 samples/sec Train-accuracy=0.806719 | |
| 2016-05-03 11:29:28,096 Node[0] Epoch[11] Batch [100] Speed: 614.67 samples/sec Train-accuracy=0.806875 | |
| 2016-05-03 11:29:38,463 Node[0] Epoch[11] Batch [150] Speed: 617.42 samples/sec Train-accuracy=0.818750 | |
| 2016-05-03 11:29:48,891 Node[0] Epoch[11] Batch [200] Speed: 613.71 samples/sec Train-accuracy=0.811094 | |
| 2016-05-03 11:29:59,305 Node[0] Epoch[11] Batch [250] Speed: 614.59 samples/sec Train-accuracy=0.813594 | |
| 2016-05-03 11:30:09,737 Node[0] Epoch[11] Batch [300] Speed: 613.48 samples/sec Train-accuracy=0.810469 | |
| 2016-05-03 11:30:20,151 Node[0] Epoch[11] Batch [350] Speed: 614.59 samples/sec Train-accuracy=0.824531 | |
| 2016-05-03 11:30:28,701 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 11:30:28,702 Node[0] Epoch[11] Time cost=81.495 | |
| 2016-05-03 11:30:28,869 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 11:30:30,821 Node[0] Epoch[11] Validation-accuracy=0.707232 | |
| 2016-05-03 11:30:41,260 Node[0] Epoch[12] Batch [50] Speed: 616.37 samples/sec Train-accuracy=0.813594 | |
| 2016-05-03 11:30:51,674 Node[0] Epoch[12] Batch [100] Speed: 614.59 samples/sec Train-accuracy=0.828906 | |
| 2016-05-03 11:31:02,061 Node[0] Epoch[12] Batch [150] Speed: 616.16 samples/sec Train-accuracy=0.829375 | |
| 2016-05-03 11:31:12,478 Node[0] Epoch[12] Batch [200] Speed: 614.35 samples/sec Train-accuracy=0.825313 | |
| 2016-05-03 11:31:22,848 Node[0] Epoch[12] Batch [250] Speed: 617.23 samples/sec Train-accuracy=0.822187 | |
| 2016-05-03 11:31:33,283 Node[0] Epoch[12] Batch [300] Speed: 613.31 samples/sec Train-accuracy=0.819688 | |
| 2016-05-03 11:31:43,734 Node[0] Epoch[12] Batch [350] Speed: 612.39 samples/sec Train-accuracy=0.824844 | |
| 2016-05-03 11:31:52,270 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 11:31:52,271 Node[0] Epoch[12] Time cost=81.449 | |
| 2016-05-03 11:31:52,437 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 11:31:54,386 Node[0] Epoch[12] Validation-accuracy=0.739583 | |
| 2016-05-03 11:32:04,879 Node[0] Epoch[13] Batch [50] Speed: 613.21 samples/sec Train-accuracy=0.827031 | |
| 2016-05-03 11:32:15,324 Node[0] Epoch[13] Batch [100] Speed: 612.79 samples/sec Train-accuracy=0.833750 | |
| 2016-05-03 11:32:25,765 Node[0] Epoch[13] Batch [150] Speed: 612.95 samples/sec Train-accuracy=0.835000 | |
| 2016-05-03 11:32:36,166 Node[0] Epoch[13] Batch [200] Speed: 615.35 samples/sec Train-accuracy=0.832969 | |
| 2016-05-03 11:32:46,583 Node[0] Epoch[13] Batch [250] Speed: 614.42 samples/sec Train-accuracy=0.832187 | |
| 2016-05-03 11:32:57,003 Node[0] Epoch[13] Batch [300] Speed: 614.19 samples/sec Train-accuracy=0.836562 | |
| 2016-05-03 11:33:07,447 Node[0] Epoch[13] Batch [350] Speed: 612.84 samples/sec Train-accuracy=0.839375 | |
| 2016-05-03 11:33:15,760 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 11:33:15,760 Node[0] Epoch[13] Time cost=81.374 | |
| 2016-05-03 11:33:15,927 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 11:33:17,890 Node[0] Epoch[13] Validation-accuracy=0.705128 | |
| 2016-05-03 11:33:28,338 Node[0] Epoch[14] Batch [50] Speed: 615.78 samples/sec Train-accuracy=0.833750 | |
| 2016-05-03 11:33:38,730 Node[0] Epoch[14] Batch [100] Speed: 615.87 samples/sec Train-accuracy=0.838594 | |
| 2016-05-03 11:33:49,115 Node[0] Epoch[14] Batch [150] Speed: 616.31 samples/sec Train-accuracy=0.836250 | |
| 2016-05-03 11:33:59,508 Node[0] Epoch[14] Batch [200] Speed: 615.78 samples/sec Train-accuracy=0.835938 | |
| 2016-05-03 11:34:09,915 Node[0] Epoch[14] Batch [250] Speed: 615.00 samples/sec Train-accuracy=0.835313 | |
| 2016-05-03 11:34:20,300 Node[0] Epoch[14] Batch [300] Speed: 616.31 samples/sec Train-accuracy=0.833438 | |
| 2016-05-03 11:34:30,705 Node[0] Epoch[14] Batch [350] Speed: 615.10 samples/sec Train-accuracy=0.842344 | |
| 2016-05-03 11:34:39,235 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 11:34:39,235 Node[0] Epoch[14] Time cost=81.345 | |
| 2016-05-03 11:34:39,399 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 11:34:41,317 Node[0] Epoch[14] Validation-accuracy=0.669772 | |
| 2016-05-03 11:34:51,814 Node[0] Epoch[15] Batch [50] Speed: 612.97 samples/sec Train-accuracy=0.840469 | |
| 2016-05-03 11:35:02,195 Node[0] Epoch[15] Batch [100] Speed: 616.52 samples/sec Train-accuracy=0.848125 | |
| 2016-05-03 11:35:12,522 Node[0] Epoch[15] Batch [150] Speed: 619.77 samples/sec Train-accuracy=0.845781 | |
| 2016-05-03 11:35:22,857 Node[0] Epoch[15] Batch [200] Speed: 619.30 samples/sec Train-accuracy=0.849375 | |
| 2016-05-03 11:35:33,242 Node[0] Epoch[15] Batch [250] Speed: 616.26 samples/sec Train-accuracy=0.835625 | |
| 2016-05-03 11:35:43,589 Node[0] Epoch[15] Batch [300] Speed: 618.58 samples/sec Train-accuracy=0.845625 | |
| 2016-05-03 11:35:53,982 Node[0] Epoch[15] Batch [350] Speed: 615.80 samples/sec Train-accuracy=0.852500 | |
| 2016-05-03 11:36:02,260 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 11:36:02,261 Node[0] Epoch[15] Time cost=80.943 | |
| 2016-05-03 11:36:02,425 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 11:36:04,365 Node[0] Epoch[15] Validation-accuracy=0.727764 | |
| 2016-05-03 11:36:14,884 Node[0] Epoch[16] Batch [50] Speed: 611.61 samples/sec Train-accuracy=0.844063 | |
| 2016-05-03 11:36:25,328 Node[0] Epoch[16] Batch [100] Speed: 612.82 samples/sec Train-accuracy=0.854688 | |
| 2016-05-03 11:36:35,653 Node[0] Epoch[16] Batch [150] Speed: 619.84 samples/sec Train-accuracy=0.859844 | |
| 2016-05-03 11:36:45,956 Node[0] Epoch[16] Batch [200] Speed: 621.24 samples/sec Train-accuracy=0.854062 | |
| 2016-05-03 11:36:56,253 Node[0] Epoch[16] Batch [250] Speed: 621.52 samples/sec Train-accuracy=0.852500 | |
| 2016-05-03 11:37:06,722 Node[0] Epoch[16] Batch [300] Speed: 611.37 samples/sec Train-accuracy=0.857500 | |
| 2016-05-03 11:37:17,201 Node[0] Epoch[16] Batch [350] Speed: 610.76 samples/sec Train-accuracy=0.850938 | |
| 2016-05-03 11:37:25,709 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 11:37:25,709 Node[0] Epoch[16] Time cost=81.344 | |
| 2016-05-03 11:37:25,871 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 11:37:28,000 Node[0] Epoch[16] Validation-accuracy=0.696598 | |
| 2016-05-03 11:37:38,388 Node[0] Epoch[17] Batch [50] Speed: 619.34 samples/sec Train-accuracy=0.850938 | |
| 2016-05-03 11:38:35,452 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:38:35,814 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 11:38:56,856 Node[0] Epoch[0] Batch [50] Speed: 650.50 samples/sec Train-accuracy=0.104531 | |
| 2016-05-03 11:39:06,918 Node[0] Epoch[0] Batch [100] Speed: 636.09 samples/sec Train-accuracy=0.108594 | |
| 2016-05-03 11:39:16,989 Node[0] Epoch[0] Batch [150] Speed: 635.54 samples/sec Train-accuracy=0.138437 | |
| 2016-05-03 11:39:27,020 Node[0] Epoch[0] Batch [200] Speed: 638.02 samples/sec Train-accuracy=0.179063 | |
| 2016-05-03 11:39:37,685 Node[0] Epoch[0] Batch [250] Speed: 600.12 samples/sec Train-accuracy=0.215781 | |
| 2016-05-03 11:39:48,519 Node[0] Epoch[0] Batch [300] Speed: 590.72 samples/sec Train-accuracy=0.262031 | |
| 2016-05-03 11:39:59,363 Node[0] Epoch[0] Batch [350] Speed: 590.19 samples/sec Train-accuracy=0.283594 | |
| 2016-05-03 11:40:08,257 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 11:40:08,257 Node[0] Epoch[0] Time cost=81.548 | |
| 2016-05-03 11:40:08,429 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 11:40:10,607 Node[0] Epoch[0] Validation-accuracy=0.292919 | |
| 2016-05-03 11:40:21,478 Node[0] Epoch[1] Batch [50] Speed: 591.85 samples/sec Train-accuracy=0.336094 | |
| 2016-05-03 11:40:32,253 Node[0] Epoch[1] Batch [100] Speed: 593.96 samples/sec Train-accuracy=0.382500 | |
| 2016-05-03 11:40:43,010 Node[0] Epoch[1] Batch [150] Speed: 594.97 samples/sec Train-accuracy=0.399844 | |
| 2016-05-03 11:40:53,778 Node[0] Epoch[1] Batch [200] Speed: 594.35 samples/sec Train-accuracy=0.411719 | |
| 2016-05-03 11:41:04,568 Node[0] Epoch[1] Batch [250] Speed: 593.17 samples/sec Train-accuracy=0.450000 | |
| 2016-05-03 11:41:15,275 Node[0] Epoch[1] Batch [300] Speed: 597.77 samples/sec Train-accuracy=0.461719 | |
| 2016-05-03 11:41:25,957 Node[0] Epoch[1] Batch [350] Speed: 599.16 samples/sec Train-accuracy=0.480312 | |
| 2016-05-03 11:41:34,715 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 11:41:34,716 Node[0] Epoch[1] Time cost=84.109 | |
| 2016-05-03 11:41:34,880 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 11:41:36,808 Node[0] Epoch[1] Validation-accuracy=0.510717 | |
| 2016-05-03 11:41:47,602 Node[0] Epoch[2] Batch [50] Speed: 596.04 samples/sec Train-accuracy=0.502344 | |
| 2016-05-03 11:41:58,226 Node[0] Epoch[2] Batch [100] Speed: 602.46 samples/sec Train-accuracy=0.529219 | |
| 2016-05-03 11:42:08,810 Node[0] Epoch[2] Batch [150] Speed: 604.70 samples/sec Train-accuracy=0.530000 | |
| 2016-05-03 11:42:19,347 Node[0] Epoch[2] Batch [200] Speed: 607.41 samples/sec Train-accuracy=0.540156 | |
| 2016-05-03 11:42:29,899 Node[0] Epoch[2] Batch [250] Speed: 606.53 samples/sec Train-accuracy=0.561094 | |
| 2016-05-03 11:42:40,591 Node[0] Epoch[2] Batch [300] Speed: 598.58 samples/sec Train-accuracy=0.567187 | |
| 2016-05-03 11:42:51,247 Node[0] Epoch[2] Batch [350] Speed: 600.60 samples/sec Train-accuracy=0.579531 | |
| 2016-05-03 11:42:59,687 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 11:42:59,688 Node[0] Epoch[2] Time cost=82.879 | |
| 2016-05-03 11:42:59,851 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 11:43:01,788 Node[0] Epoch[2] Validation-accuracy=0.583734 | |
| 2016-05-03 11:43:12,297 Node[0] Epoch[3] Batch [50] Speed: 612.18 samples/sec Train-accuracy=0.598906 | |
| 2016-05-03 11:43:22,851 Node[0] Epoch[3] Batch [100] Speed: 606.44 samples/sec Train-accuracy=0.608125 | |
| 2016-05-03 11:43:33,361 Node[0] Epoch[3] Batch [150] Speed: 608.95 samples/sec Train-accuracy=0.616719 | |
| 2016-05-03 11:43:43,856 Node[0] Epoch[3] Batch [200] Speed: 609.81 samples/sec Train-accuracy=0.614688 | |
| 2016-05-03 11:43:54,365 Node[0] Epoch[3] Batch [250] Speed: 609.03 samples/sec Train-accuracy=0.623594 | |
| 2016-05-03 11:44:04,895 Node[0] Epoch[3] Batch [300] Speed: 607.82 samples/sec Train-accuracy=0.635312 | |
| 2016-05-03 11:44:15,412 Node[0] Epoch[3] Batch [350] Speed: 608.50 samples/sec Train-accuracy=0.648594 | |
| 2016-05-03 11:44:24,027 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 11:44:24,027 Node[0] Epoch[3] Time cost=82.239 | |
| 2016-05-03 11:44:24,194 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 11:44:26,105 Node[0] Epoch[3] Validation-accuracy=0.617288 | |
| 2016-05-03 11:44:36,679 Node[0] Epoch[4] Batch [50] Speed: 608.48 samples/sec Train-accuracy=0.656719 | |
| 2016-05-03 11:44:47,275 Node[0] Epoch[4] Batch [100] Speed: 604.04 samples/sec Train-accuracy=0.652031 | |
| 2016-05-03 11:44:57,686 Node[0] Epoch[4] Batch [150] Speed: 614.74 samples/sec Train-accuracy=0.670625 | |
| 2016-05-03 11:45:08,100 Node[0] Epoch[4] Batch [200] Speed: 614.61 samples/sec Train-accuracy=0.669219 | |
| 2016-05-03 11:45:18,554 Node[0] Epoch[4] Batch [250] Speed: 612.20 samples/sec Train-accuracy=0.677188 | |
| 2016-05-03 11:45:29,025 Node[0] Epoch[4] Batch [300] Speed: 611.26 samples/sec Train-accuracy=0.680937 | |
| 2016-05-03 11:45:39,538 Node[0] Epoch[4] Batch [350] Speed: 608.75 samples/sec Train-accuracy=0.681562 | |
| 2016-05-03 11:45:48,142 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 11:45:48,142 Node[0] Epoch[4] Time cost=82.037 | |
| 2016-05-03 11:45:48,304 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 11:45:50,240 Node[0] Epoch[4] Validation-accuracy=0.674079 | |
| 2016-05-03 11:46:00,723 Node[0] Epoch[5] Batch [50] Speed: 613.89 samples/sec Train-accuracy=0.693594 | |
| 2016-05-03 11:46:11,158 Node[0] Epoch[5] Batch [100] Speed: 613.33 samples/sec Train-accuracy=0.698281 | |
| 2016-05-03 11:46:21,571 Node[0] Epoch[5] Batch [150] Speed: 614.62 samples/sec Train-accuracy=0.709531 | |
| 2016-05-03 11:46:31,979 Node[0] Epoch[5] Batch [200] Speed: 614.96 samples/sec Train-accuracy=0.704688 | |
| 2016-05-03 11:46:42,365 Node[0] Epoch[5] Batch [250] Speed: 616.22 samples/sec Train-accuracy=0.712969 | |
| 2016-05-03 11:46:52,770 Node[0] Epoch[5] Batch [300] Speed: 615.09 samples/sec Train-accuracy=0.719844 | |
| 2016-05-03 11:47:03,191 Node[0] Epoch[5] Batch [350] Speed: 614.15 samples/sec Train-accuracy=0.708438 | |
| 2016-05-03 11:47:11,510 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 11:47:11,510 Node[0] Epoch[5] Time cost=81.270 | |
| 2016-05-03 11:47:11,674 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 11:47:13,647 Node[0] Epoch[5] Validation-accuracy=0.679688 | |
| 2016-05-03 11:47:24,218 Node[0] Epoch[6] Batch [50] Speed: 608.63 samples/sec Train-accuracy=0.725781 | |
| 2016-05-03 11:47:34,635 Node[0] Epoch[6] Batch [100] Speed: 614.43 samples/sec Train-accuracy=0.732969 | |
| 2016-05-03 11:47:45,062 Node[0] Epoch[6] Batch [150] Speed: 613.78 samples/sec Train-accuracy=0.743594 | |
| 2016-05-03 11:47:55,492 Node[0] Epoch[6] Batch [200] Speed: 613.62 samples/sec Train-accuracy=0.738906 | |
| 2016-05-03 11:48:05,895 Node[0] Epoch[6] Batch [250] Speed: 615.23 samples/sec Train-accuracy=0.730313 | |
| 2016-05-03 11:48:16,295 Node[0] Epoch[6] Batch [300] Speed: 615.42 samples/sec Train-accuracy=0.735938 | |
| 2016-05-03 11:48:26,755 Node[0] Epoch[6] Batch [350] Speed: 611.86 samples/sec Train-accuracy=0.742500 | |
| 2016-05-03 11:48:35,301 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 11:48:35,301 Node[0] Epoch[6] Time cost=81.654 | |
| 2016-05-03 11:48:35,462 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 11:48:37,433 Node[0] Epoch[6] Validation-accuracy=0.693209 | |
| 2016-05-03 11:48:47,872 Node[0] Epoch[7] Batch [50] Speed: 616.37 samples/sec Train-accuracy=0.752031 | |
| 2016-05-03 11:48:58,221 Node[0] Epoch[7] Batch [100] Speed: 618.43 samples/sec Train-accuracy=0.750000 | |
| 2016-05-03 11:49:08,581 Node[0] Epoch[7] Batch [150] Speed: 617.80 samples/sec Train-accuracy=0.765469 | |
| 2016-05-03 11:49:18,990 Node[0] Epoch[7] Batch [200] Speed: 614.87 samples/sec Train-accuracy=0.755625 | |
| 2016-05-03 11:49:29,424 Node[0] Epoch[7] Batch [250] Speed: 613.40 samples/sec Train-accuracy=0.757969 | |
| 2016-05-03 11:49:40,624 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 11:49:41,008 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 11:50:01,882 Node[0] Epoch[0] Batch [50] Speed: 649.84 samples/sec Train-accuracy=0.108281 | |
| 2016-05-03 11:50:11,919 Node[0] Epoch[0] Batch [100] Speed: 637.64 samples/sec Train-accuracy=0.181719 | |
| 2016-05-03 11:50:21,968 Node[0] Epoch[0] Batch [150] Speed: 636.88 samples/sec Train-accuracy=0.241563 | |
| 2016-05-03 11:50:32,292 Node[0] Epoch[0] Batch [200] Speed: 619.96 samples/sec Train-accuracy=0.296875 | |
| 2016-05-03 11:50:43,105 Node[0] Epoch[0] Batch [250] Speed: 591.89 samples/sec Train-accuracy=0.338594 | |
| 2016-05-03 11:50:54,003 Node[0] Epoch[0] Batch [300] Speed: 587.27 samples/sec Train-accuracy=0.372812 | |
| 2016-05-03 11:51:04,838 Node[0] Epoch[0] Batch [350] Speed: 590.67 samples/sec Train-accuracy=0.391406 | |
| 2016-05-03 11:51:13,735 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 11:51:13,735 Node[0] Epoch[0] Time cost=82.026 | |
| 2016-05-03 11:51:13,904 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 11:51:16,117 Node[0] Epoch[0] Validation-accuracy=0.381922 | |
| 2016-05-03 11:51:26,907 Node[0] Epoch[1] Batch [50] Speed: 596.21 samples/sec Train-accuracy=0.431719 | |
| 2016-05-03 11:51:37,642 Node[0] Epoch[1] Batch [100] Speed: 596.17 samples/sec Train-accuracy=0.460938 | |
| 2016-05-03 11:51:48,339 Node[0] Epoch[1] Batch [150] Speed: 598.36 samples/sec Train-accuracy=0.474219 | |
| 2016-05-03 11:51:59,024 Node[0] Epoch[1] Batch [200] Speed: 598.93 samples/sec Train-accuracy=0.501406 | |
| 2016-05-03 11:52:09,701 Node[0] Epoch[1] Batch [250] Speed: 599.45 samples/sec Train-accuracy=0.488125 | |
| 2016-05-03 11:52:20,390 Node[0] Epoch[1] Batch [300] Speed: 598.78 samples/sec Train-accuracy=0.522188 | |
| 2016-05-03 11:52:31,028 Node[0] Epoch[1] Batch [350] Speed: 601.61 samples/sec Train-accuracy=0.536875 | |
| 2016-05-03 11:52:39,656 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 11:52:39,656 Node[0] Epoch[1] Time cost=83.538 | |
| 2016-05-03 11:52:39,821 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 11:52:41,790 Node[0] Epoch[1] Validation-accuracy=0.554788 | |
| 2016-05-03 11:52:52,581 Node[0] Epoch[2] Batch [50] Speed: 596.22 samples/sec Train-accuracy=0.551094 | |
| 2016-05-03 11:53:03,324 Node[0] Epoch[2] Batch [100] Speed: 595.76 samples/sec Train-accuracy=0.569688 | |
| 2016-05-03 11:53:13,965 Node[0] Epoch[2] Batch [150] Speed: 601.46 samples/sec Train-accuracy=0.581562 | |
| 2016-05-03 11:53:24,544 Node[0] Epoch[2] Batch [200] Speed: 604.99 samples/sec Train-accuracy=0.585156 | |
| 2016-05-03 11:53:35,082 Node[0] Epoch[2] Batch [250] Speed: 607.34 samples/sec Train-accuracy=0.588125 | |
| 2016-05-03 11:53:45,644 Node[0] Epoch[2] Batch [300] Speed: 605.94 samples/sec Train-accuracy=0.606719 | |
| 2016-05-03 11:53:56,231 Node[0] Epoch[2] Batch [350] Speed: 604.52 samples/sec Train-accuracy=0.607812 | |
| 2016-05-03 11:54:04,681 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 11:54:04,681 Node[0] Epoch[2] Time cost=82.891 | |
| 2016-05-03 11:54:04,844 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 11:54:06,771 Node[0] Epoch[2] Validation-accuracy=0.611178 | |
| 2016-05-03 11:54:17,252 Node[0] Epoch[3] Batch [50] Speed: 613.82 samples/sec Train-accuracy=0.633437 | |
| 2016-05-03 11:54:27,834 Node[0] Epoch[3] Batch [100] Speed: 604.81 samples/sec Train-accuracy=0.639062 | |
| 2016-05-03 11:54:38,351 Node[0] Epoch[3] Batch [150] Speed: 608.60 samples/sec Train-accuracy=0.648281 | |
| 2016-05-03 11:54:48,850 Node[0] Epoch[3] Batch [200] Speed: 609.58 samples/sec Train-accuracy=0.643281 | |
| 2016-05-03 11:54:59,393 Node[0] Epoch[3] Batch [250] Speed: 607.07 samples/sec Train-accuracy=0.649687 | |
| 2016-05-03 11:55:09,922 Node[0] Epoch[3] Batch [300] Speed: 607.87 samples/sec Train-accuracy=0.667656 | |
| 2016-05-03 11:55:20,454 Node[0] Epoch[3] Batch [350] Speed: 607.64 samples/sec Train-accuracy=0.666562 | |
| 2016-05-03 11:55:29,075 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 11:55:29,076 Node[0] Epoch[3] Time cost=82.305 | |
| 2016-05-03 11:55:29,244 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 11:55:31,149 Node[0] Epoch[3] Validation-accuracy=0.678586 | |
| 2016-05-03 11:55:41,718 Node[0] Epoch[4] Batch [50] Speed: 608.77 samples/sec Train-accuracy=0.685312 | |
| 2016-05-03 11:55:52,236 Node[0] Epoch[4] Batch [100] Speed: 608.48 samples/sec Train-accuracy=0.685000 | |
| 2016-05-03 11:56:02,783 Node[0] Epoch[4] Batch [150] Speed: 606.84 samples/sec Train-accuracy=0.703438 | |
| 2016-05-03 11:56:13,245 Node[0] Epoch[4] Batch [200] Speed: 611.72 samples/sec Train-accuracy=0.703438 | |
| 2016-05-03 11:56:23,701 Node[0] Epoch[4] Batch [250] Speed: 612.12 samples/sec Train-accuracy=0.689688 | |
| 2016-05-03 11:56:34,188 Node[0] Epoch[4] Batch [300] Speed: 610.32 samples/sec Train-accuracy=0.699219 | |
| 2016-05-03 11:56:44,604 Node[0] Epoch[4] Batch [350] Speed: 614.42 samples/sec Train-accuracy=0.717656 | |
| 2016-05-03 11:56:53,165 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 11:56:53,166 Node[0] Epoch[4] Time cost=82.016 | |
| 2016-05-03 11:56:53,329 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 11:56:55,321 Node[0] Epoch[4] Validation-accuracy=0.695413 | |
| 2016-05-03 11:57:05,814 Node[0] Epoch[5] Batch [50] Speed: 613.11 samples/sec Train-accuracy=0.720156 | |
| 2016-05-03 11:57:16,304 Node[0] Epoch[5] Batch [100] Speed: 610.12 samples/sec Train-accuracy=0.723594 | |
| 2016-05-03 11:57:26,748 Node[0] Epoch[5] Batch [150] Speed: 612.86 samples/sec Train-accuracy=0.728437 | |
| 2016-05-03 11:57:37,193 Node[0] Epoch[5] Batch [200] Speed: 612.76 samples/sec Train-accuracy=0.718906 | |
| 2016-05-03 11:57:47,607 Node[0] Epoch[5] Batch [250] Speed: 614.55 samples/sec Train-accuracy=0.725781 | |
| 2016-05-03 11:57:58,000 Node[0] Epoch[5] Batch [300] Speed: 615.81 samples/sec Train-accuracy=0.736406 | |
| 2016-05-03 11:58:08,411 Node[0] Epoch[5] Batch [350] Speed: 614.77 samples/sec Train-accuracy=0.740469 | |
| 2016-05-03 11:58:16,740 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 11:58:16,740 Node[0] Epoch[5] Time cost=81.419 | |
| 2016-05-03 11:58:16,903 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 11:58:18,872 Node[0] Epoch[5] Validation-accuracy=0.637520 | |
| 2016-05-03 11:58:29,380 Node[0] Epoch[6] Batch [50] Speed: 612.24 samples/sec Train-accuracy=0.746875 | |
| 2016-05-03 11:58:39,814 Node[0] Epoch[6] Batch [100] Speed: 613.42 samples/sec Train-accuracy=0.740000 | |
| 2016-05-03 11:58:50,231 Node[0] Epoch[6] Batch [150] Speed: 614.39 samples/sec Train-accuracy=0.750469 | |
| 2016-05-03 11:59:00,607 Node[0] Epoch[6] Batch [200] Speed: 616.82 samples/sec Train-accuracy=0.747969 | |
| 2016-05-03 11:59:11,007 Node[0] Epoch[6] Batch [250] Speed: 615.39 samples/sec Train-accuracy=0.750938 | |
| 2016-05-03 11:59:21,455 Node[0] Epoch[6] Batch [300] Speed: 612.60 samples/sec Train-accuracy=0.759531 | |
| 2016-05-03 11:59:31,842 Node[0] Epoch[6] Batch [350] Speed: 616.16 samples/sec Train-accuracy=0.757969 | |
| 2016-05-03 11:59:40,391 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 11:59:40,391 Node[0] Epoch[6] Time cost=81.519 | |
| 2016-05-03 11:59:40,555 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 11:59:42,493 Node[0] Epoch[6] Validation-accuracy=0.732873 | |
| 2016-05-03 11:59:52,921 Node[0] Epoch[7] Batch [50] Speed: 616.97 samples/sec Train-accuracy=0.765156 | |
| 2016-05-03 12:00:03,342 Node[0] Epoch[7] Batch [100] Speed: 614.18 samples/sec Train-accuracy=0.750313 | |
| 2016-05-03 12:00:13,766 Node[0] Epoch[7] Batch [150] Speed: 614.01 samples/sec Train-accuracy=0.778281 | |
| 2016-05-03 12:00:24,223 Node[0] Epoch[7] Batch [200] Speed: 612.04 samples/sec Train-accuracy=0.768906 | |
| 2016-05-03 12:00:34,612 Node[0] Epoch[7] Batch [250] Speed: 616.01 samples/sec Train-accuracy=0.772031 | |
| 2016-05-03 12:00:45,048 Node[0] Epoch[7] Batch [300] Speed: 613.30 samples/sec Train-accuracy=0.770312 | |
| 2016-05-03 12:00:55,477 Node[0] Epoch[7] Batch [350] Speed: 613.70 samples/sec Train-accuracy=0.774844 | |
| 2016-05-03 12:01:03,811 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 12:01:03,812 Node[0] Epoch[7] Time cost=81.319 | |
| 2016-05-03 12:01:03,978 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 12:01:05,935 Node[0] Epoch[7] Validation-accuracy=0.741186 | |
| 2016-05-03 12:01:16,430 Node[0] Epoch[8] Batch [50] Speed: 612.99 samples/sec Train-accuracy=0.784375 | |
| 2016-05-03 12:01:26,784 Node[0] Epoch[8] Batch [100] Speed: 618.16 samples/sec Train-accuracy=0.768594 | |
| 2016-05-03 12:01:37,107 Node[0] Epoch[8] Batch [150] Speed: 619.95 samples/sec Train-accuracy=0.784531 | |
| 2016-05-03 12:01:47,519 Node[0] Epoch[8] Batch [200] Speed: 614.69 samples/sec Train-accuracy=0.777813 | |
| 2016-05-03 12:01:57,933 Node[0] Epoch[8] Batch [250] Speed: 614.57 samples/sec Train-accuracy=0.786094 | |
| 2016-05-03 12:02:08,312 Node[0] Epoch[8] Batch [300] Speed: 616.65 samples/sec Train-accuracy=0.774531 | |
| 2016-05-03 12:02:18,719 Node[0] Epoch[8] Batch [350] Speed: 614.98 samples/sec Train-accuracy=0.790937 | |
| 2016-05-03 12:02:27,214 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 12:02:27,214 Node[0] Epoch[8] Time cost=81.279 | |
| 2016-05-03 12:02:27,374 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 12:02:29,566 Node[0] Epoch[8] Validation-accuracy=0.694521 | |
| 2016-05-03 12:02:40,020 Node[0] Epoch[9] Batch [50] Speed: 615.46 samples/sec Train-accuracy=0.796875 | |
| 2016-05-03 12:02:50,511 Node[0] Epoch[9] Batch [100] Speed: 610.06 samples/sec Train-accuracy=0.796094 | |
| 2016-05-03 12:03:00,878 Node[0] Epoch[9] Batch [150] Speed: 617.35 samples/sec Train-accuracy=0.797344 | |
| 2016-05-03 12:03:11,219 Node[0] Epoch[9] Batch [200] Speed: 618.89 samples/sec Train-accuracy=0.792813 | |
| 2016-05-03 12:03:21,581 Node[0] Epoch[9] Batch [250] Speed: 617.67 samples/sec Train-accuracy=0.788125 | |
| 2016-05-03 12:03:31,948 Node[0] Epoch[9] Batch [300] Speed: 617.38 samples/sec Train-accuracy=0.796719 | |
| 2016-05-03 12:03:42,339 Node[0] Epoch[9] Batch [350] Speed: 615.93 samples/sec Train-accuracy=0.798125 | |
| 2016-05-03 12:03:50,831 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 12:03:50,832 Node[0] Epoch[9] Time cost=81.266 | |
| 2016-05-03 12:03:50,997 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 12:03:52,906 Node[0] Epoch[9] Validation-accuracy=0.636819 | |
| 2016-05-03 12:04:03,336 Node[0] Epoch[10] Batch [50] Speed: 616.92 samples/sec Train-accuracy=0.797969 | |
| 2016-05-03 12:04:13,672 Node[0] Epoch[10] Batch [100] Speed: 619.20 samples/sec Train-accuracy=0.792969 | |
| 2016-05-03 12:04:24,038 Node[0] Epoch[10] Batch [150] Speed: 617.38 samples/sec Train-accuracy=0.810469 | |
| 2016-05-03 12:04:34,326 Node[0] Epoch[10] Batch [200] Speed: 622.13 samples/sec Train-accuracy=0.809375 | |
| 2016-05-03 12:04:44,682 Node[0] Epoch[10] Batch [250] Speed: 618.00 samples/sec Train-accuracy=0.810469 | |
| 2016-05-03 12:04:55,082 Node[0] Epoch[10] Batch [300] Speed: 615.39 samples/sec Train-accuracy=0.801875 | |
| 2016-05-03 12:05:05,453 Node[0] Epoch[10] Batch [350] Speed: 617.16 samples/sec Train-accuracy=0.808594 | |
| 2016-05-03 12:05:13,758 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 12:05:13,759 Node[0] Epoch[10] Time cost=80.852 | |
| 2016-05-03 12:05:13,924 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 12:05:15,838 Node[0] Epoch[10] Validation-accuracy=0.677584 | |
| 2016-05-03 12:05:26,296 Node[0] Epoch[11] Batch [50] Speed: 615.31 samples/sec Train-accuracy=0.805469 | |
| 2016-05-03 12:05:36,632 Node[0] Epoch[11] Batch [100] Speed: 619.17 samples/sec Train-accuracy=0.814219 | |
| 2016-05-03 12:05:46,964 Node[0] Epoch[11] Batch [150] Speed: 619.50 samples/sec Train-accuracy=0.813750 | |
| 2016-05-03 12:05:57,297 Node[0] Epoch[11] Batch [200] Speed: 619.36 samples/sec Train-accuracy=0.820312 | |
| 2016-05-03 12:06:07,647 Node[0] Epoch[11] Batch [250] Speed: 618.40 samples/sec Train-accuracy=0.813750 | |
| 2016-05-03 12:06:17,928 Node[0] Epoch[11] Batch [300] Speed: 622.49 samples/sec Train-accuracy=0.809844 | |
| 2016-05-03 12:06:28,261 Node[0] Epoch[11] Batch [350] Speed: 619.40 samples/sec Train-accuracy=0.825469 | |
| 2016-05-03 12:06:36,694 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 12:06:36,694 Node[0] Epoch[11] Time cost=80.855 | |
| 2016-05-03 12:06:36,854 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 12:06:38,830 Node[0] Epoch[11] Validation-accuracy=0.698217 | |
| 2016-05-03 12:06:49,283 Node[0] Epoch[12] Batch [50] Speed: 615.54 samples/sec Train-accuracy=0.823438 | |
| 2016-05-03 12:06:59,610 Node[0] Epoch[12] Batch [100] Speed: 619.75 samples/sec Train-accuracy=0.821562 | |
| 2016-05-03 12:07:09,983 Node[0] Epoch[12] Batch [150] Speed: 616.98 samples/sec Train-accuracy=0.830625 | |
| 2016-05-03 12:07:20,336 Node[0] Epoch[12] Batch [200] Speed: 618.17 samples/sec Train-accuracy=0.827656 | |
| 2016-05-03 12:07:30,699 Node[0] Epoch[12] Batch [250] Speed: 617.64 samples/sec Train-accuracy=0.822656 | |
| 2016-05-03 12:07:41,022 Node[0] Epoch[12] Batch [300] Speed: 619.96 samples/sec Train-accuracy=0.834531 | |
| 2016-05-03 12:07:51,338 Node[0] Epoch[12] Batch [350] Speed: 620.41 samples/sec Train-accuracy=0.818750 | |
| 2016-05-03 12:07:59,842 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 12:07:59,842 Node[0] Epoch[12] Time cost=81.012 | |
| 2016-05-03 12:08:00,002 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 12:08:01,958 Node[0] Epoch[12] Validation-accuracy=0.733373 | |
| 2016-05-03 12:08:12,438 Node[0] Epoch[13] Batch [50] Speed: 613.91 samples/sec Train-accuracy=0.824219 | |
| 2016-05-03 12:08:22,757 Node[0] Epoch[13] Batch [100] Speed: 620.20 samples/sec Train-accuracy=0.827969 | |
| 2016-05-03 12:08:33,089 Node[0] Epoch[13] Batch [150] Speed: 619.47 samples/sec Train-accuracy=0.832187 | |
| 2016-05-03 12:08:43,425 Node[0] Epoch[13] Batch [200] Speed: 619.19 samples/sec Train-accuracy=0.826406 | |
| 2016-05-03 12:08:53,766 Node[0] Epoch[13] Batch [250] Speed: 618.93 samples/sec Train-accuracy=0.825469 | |
| 2016-05-03 12:09:04,147 Node[0] Epoch[13] Batch [300] Speed: 616.56 samples/sec Train-accuracy=0.843594 | |
| 2016-05-03 12:09:14,525 Node[0] Epoch[13] Batch [350] Speed: 616.66 samples/sec Train-accuracy=0.825000 | |
| 2016-05-03 12:09:22,823 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 12:09:22,823 Node[0] Epoch[13] Time cost=80.865 | |
| 2016-05-03 12:09:22,994 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 12:09:24,922 Node[0] Epoch[13] Validation-accuracy=0.682292 | |
| 2016-05-03 12:09:35,223 Node[0] Epoch[14] Batch [50] Speed: 624.63 samples/sec Train-accuracy=0.849063 | |
| 2016-05-03 12:09:45,535 Node[0] Epoch[14] Batch [100] Speed: 620.64 samples/sec Train-accuracy=0.829219 | |
| 2016-05-03 12:09:55,874 Node[0] Epoch[14] Batch [150] Speed: 619.05 samples/sec Train-accuracy=0.845781 | |
| 2016-05-03 12:10:06,211 Node[0] Epoch[14] Batch [200] Speed: 619.14 samples/sec Train-accuracy=0.833125 | |
| 2016-05-03 12:10:16,545 Node[0] Epoch[14] Batch [250] Speed: 619.29 samples/sec Train-accuracy=0.837969 | |
| 2016-05-03 12:10:26,871 Node[0] Epoch[14] Batch [300] Speed: 619.84 samples/sec Train-accuracy=0.836562 | |
| 2016-05-03 12:10:37,256 Node[0] Epoch[14] Batch [350] Speed: 616.31 samples/sec Train-accuracy=0.835000 | |
| 2016-05-03 12:10:45,746 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 12:10:45,747 Node[0] Epoch[14] Time cost=80.824 | |
| 2016-05-03 12:10:45,908 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 12:10:47,835 Node[0] Epoch[14] Validation-accuracy=0.706030 | |
| 2016-05-03 12:10:58,247 Node[0] Epoch[15] Batch [50] Speed: 617.94 samples/sec Train-accuracy=0.839531 | |
| 2016-05-03 12:11:08,598 Node[0] Epoch[15] Batch [100] Speed: 618.33 samples/sec Train-accuracy=0.847500 | |
| 2016-05-03 12:11:18,899 Node[0] Epoch[15] Batch [150] Speed: 621.30 samples/sec Train-accuracy=0.843906 | |
| 2016-05-03 12:11:29,202 Node[0] Epoch[15] Batch [200] Speed: 621.19 samples/sec Train-accuracy=0.846719 | |
| 2016-05-03 12:11:39,512 Node[0] Epoch[15] Batch [250] Speed: 620.80 samples/sec Train-accuracy=0.839063 | |
| 2016-05-03 12:11:49,859 Node[0] Epoch[15] Batch [300] Speed: 618.55 samples/sec Train-accuracy=0.839063 | |
| 2016-05-03 12:12:00,310 Node[0] Epoch[15] Batch [350] Speed: 612.39 samples/sec Train-accuracy=0.840625 | |
| 2016-05-03 12:12:08,617 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 12:12:08,617 Node[0] Epoch[15] Time cost=80.783 | |
| 2016-05-03 12:12:08,778 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 12:12:10,716 Node[0] Epoch[15] Validation-accuracy=0.673778 | |
| 2016-05-03 12:12:21,089 Node[0] Epoch[16] Batch [50] Speed: 620.24 samples/sec Train-accuracy=0.841250 | |
| 2016-05-03 12:12:31,392 Node[0] Epoch[16] Batch [100] Speed: 621.21 samples/sec Train-accuracy=0.854219 | |
| 2016-05-03 12:12:41,727 Node[0] Epoch[16] Batch [150] Speed: 619.26 samples/sec Train-accuracy=0.851562 | |
| 2016-05-03 12:12:52,032 Node[0] Epoch[16] Batch [200] Speed: 621.06 samples/sec Train-accuracy=0.847812 | |
| 2016-05-03 12:13:02,343 Node[0] Epoch[16] Batch [250] Speed: 620.75 samples/sec Train-accuracy=0.838750 | |
| 2016-05-03 12:13:12,744 Node[0] Epoch[16] Batch [300] Speed: 615.35 samples/sec Train-accuracy=0.847812 | |
| 2016-05-03 12:13:23,160 Node[0] Epoch[16] Batch [350] Speed: 614.46 samples/sec Train-accuracy=0.851875 | |
| 2016-05-03 12:13:31,722 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 12:13:31,723 Node[0] Epoch[16] Time cost=81.006 | |
| 2016-05-03 12:13:31,888 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 12:13:34,047 Node[0] Epoch[16] Validation-accuracy=0.617484 | |
| 2016-05-03 12:13:44,372 Node[0] Epoch[17] Batch [50] Speed: 623.13 samples/sec Train-accuracy=0.849375 | |
| 2016-05-03 12:13:54,714 Node[0] Epoch[17] Batch [100] Speed: 618.86 samples/sec Train-accuracy=0.848750 | |
| 2016-05-03 12:14:05,042 Node[0] Epoch[17] Batch [150] Speed: 619.67 samples/sec Train-accuracy=0.855156 | |
| 2016-05-03 12:14:15,339 Node[0] Epoch[17] Batch [200] Speed: 621.58 samples/sec Train-accuracy=0.852812 | |
| 2016-05-03 12:14:25,659 Node[0] Epoch[17] Batch [250] Speed: 620.18 samples/sec Train-accuracy=0.853906 | |
| 2016-05-03 12:14:36,007 Node[0] Epoch[17] Batch [300] Speed: 618.49 samples/sec Train-accuracy=0.861406 | |
| 2016-05-03 12:14:46,392 Node[0] Epoch[17] Batch [350] Speed: 616.26 samples/sec Train-accuracy=0.859219 | |
| 2016-05-03 12:14:54,908 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 12:14:54,908 Node[0] Epoch[17] Time cost=80.861 | |
| 2016-05-03 12:14:55,068 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 12:14:56,971 Node[0] Epoch[17] Validation-accuracy=0.761118 | |
| 2016-05-03 12:15:07,341 Node[0] Epoch[18] Batch [50] Speed: 620.40 samples/sec Train-accuracy=0.856563 | |
| 2016-05-03 12:15:17,765 Node[0] Epoch[18] Batch [100] Speed: 613.99 samples/sec Train-accuracy=0.858906 | |
| 2016-05-03 12:15:28,235 Node[0] Epoch[18] Batch [150] Speed: 611.27 samples/sec Train-accuracy=0.860469 | |
| 2016-05-03 12:15:38,553 Node[0] Epoch[18] Batch [200] Speed: 620.33 samples/sec Train-accuracy=0.846875 | |
| 2016-05-03 12:15:48,886 Node[0] Epoch[18] Batch [250] Speed: 619.40 samples/sec Train-accuracy=0.856406 | |
| 2016-05-03 12:15:59,234 Node[0] Epoch[18] Batch [300] Speed: 618.46 samples/sec Train-accuracy=0.859688 | |
| 2016-05-03 12:16:09,632 Node[0] Epoch[18] Batch [350] Speed: 615.52 samples/sec Train-accuracy=0.855938 | |
| 2016-05-03 12:16:17,863 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 12:16:17,864 Node[0] Epoch[18] Time cost=80.892 | |
| 2016-05-03 12:16:18,028 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 12:16:19,980 Node[0] Epoch[18] Validation-accuracy=0.737580 | |
| 2016-05-03 12:16:30,377 Node[0] Epoch[19] Batch [50] Speed: 618.84 samples/sec Train-accuracy=0.861719 | |
| 2016-05-03 12:16:40,749 Node[0] Epoch[19] Batch [100] Speed: 617.09 samples/sec Train-accuracy=0.858906 | |
| 2016-05-03 12:16:51,094 Node[0] Epoch[19] Batch [150] Speed: 618.64 samples/sec Train-accuracy=0.864688 | |
| 2016-05-03 12:17:01,444 Node[0] Epoch[19] Batch [200] Speed: 618.40 samples/sec Train-accuracy=0.851875 | |
| 2016-05-03 12:17:11,776 Node[0] Epoch[19] Batch [250] Speed: 619.43 samples/sec Train-accuracy=0.863281 | |
| 2016-05-03 12:17:22,134 Node[0] Epoch[19] Batch [300] Speed: 617.89 samples/sec Train-accuracy=0.859062 | |
| 2016-05-03 12:17:32,457 Node[0] Epoch[19] Batch [350] Speed: 620.04 samples/sec Train-accuracy=0.860781 | |
| 2016-05-03 12:17:40,916 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 12:17:40,916 Node[0] Epoch[19] Time cost=80.936 | |
| 2016-05-03 12:17:41,078 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 12:17:43,020 Node[0] Epoch[19] Validation-accuracy=0.577925 | |
| 2016-05-03 12:17:53,472 Node[0] Epoch[20] Batch [50] Speed: 615.69 samples/sec Train-accuracy=0.861250 | |
| 2016-05-03 12:18:03,799 Node[0] Epoch[20] Batch [100] Speed: 619.77 samples/sec Train-accuracy=0.864062 | |
| 2016-05-03 12:18:14,147 Node[0] Epoch[20] Batch [150] Speed: 618.49 samples/sec Train-accuracy=0.866719 | |
| 2016-05-03 12:18:24,441 Node[0] Epoch[20] Batch [200] Speed: 621.71 samples/sec Train-accuracy=0.861563 | |
| 2016-05-03 12:18:34,710 Node[0] Epoch[20] Batch [250] Speed: 623.27 samples/sec Train-accuracy=0.866094 | |
| 2016-05-03 12:18:45,038 Node[0] Epoch[20] Batch [300] Speed: 619.65 samples/sec Train-accuracy=0.862812 | |
| 2016-05-03 12:18:55,404 Node[0] Epoch[20] Batch [350] Speed: 617.47 samples/sec Train-accuracy=0.867500 | |
| 2016-05-03 12:19:03,930 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 12:19:03,930 Node[0] Epoch[20] Time cost=80.910 | |
| 2016-05-03 12:19:04,092 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 12:19:06,000 Node[0] Epoch[20] Validation-accuracy=0.672175 | |
| 2016-05-03 12:19:16,350 Node[0] Epoch[21] Batch [50] Speed: 621.59 samples/sec Train-accuracy=0.869219 | |
| 2016-05-03 12:19:26,766 Node[0] Epoch[21] Batch [100] Speed: 614.50 samples/sec Train-accuracy=0.867969 | |
| 2016-05-03 12:19:51,545 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:19:51,950 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 12:20:13,224 Node[0] Epoch[0] Batch [50] Speed: 648.64 samples/sec Train-accuracy=0.110312 | |
| 2016-05-03 12:20:23,263 Node[0] Epoch[0] Batch [100] Speed: 637.53 samples/sec Train-accuracy=0.157500 | |
| 2016-05-03 12:20:33,358 Node[0] Epoch[0] Batch [150] Speed: 634.00 samples/sec Train-accuracy=0.202656 | |
| 2016-05-03 12:20:43,984 Node[0] Epoch[0] Batch [200] Speed: 602.32 samples/sec Train-accuracy=0.241719 | |
| 2016-05-03 12:20:55,031 Node[0] Epoch[0] Batch [250] Speed: 579.32 samples/sec Train-accuracy=0.295000 | |
| 2016-05-03 12:21:06,102 Node[0] Epoch[0] Batch [300] Speed: 578.11 samples/sec Train-accuracy=0.327969 | |
| 2016-05-03 12:21:17,210 Node[0] Epoch[0] Batch [350] Speed: 576.20 samples/sec Train-accuracy=0.344375 | |
| 2016-05-03 12:21:26,229 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 12:21:26,229 Node[0] Epoch[0] Time cost=83.134 | |
| 2016-05-03 12:21:26,398 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 12:21:28,546 Node[0] Epoch[0] Validation-accuracy=0.400613 | |
| 2016-05-03 12:21:39,293 Node[0] Epoch[1] Batch [50] Speed: 598.72 samples/sec Train-accuracy=0.390781 | |
| 2016-05-03 12:21:50,157 Node[0] Epoch[1] Batch [100] Speed: 589.16 samples/sec Train-accuracy=0.408906 | |
| 2016-05-03 12:22:01,040 Node[0] Epoch[1] Batch [150] Speed: 588.06 samples/sec Train-accuracy=0.429219 | |
| 2016-05-03 12:22:11,870 Node[0] Epoch[1] Batch [200] Speed: 590.95 samples/sec Train-accuracy=0.457813 | |
| 2016-05-03 12:22:22,679 Node[0] Epoch[1] Batch [250] Speed: 592.13 samples/sec Train-accuracy=0.461875 | |
| 2016-05-03 12:22:33,480 Node[0] Epoch[1] Batch [300] Speed: 592.56 samples/sec Train-accuracy=0.482969 | |
| 2016-05-03 12:22:44,272 Node[0] Epoch[1] Batch [350] Speed: 593.04 samples/sec Train-accuracy=0.492812 | |
| 2016-05-03 12:22:53,079 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 12:22:53,080 Node[0] Epoch[1] Time cost=84.534 | |
| 2016-05-03 12:22:53,245 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 12:22:55,247 Node[0] Epoch[1] Validation-accuracy=0.533053 | |
| 2016-05-03 12:23:05,953 Node[0] Epoch[2] Batch [50] Speed: 600.91 samples/sec Train-accuracy=0.526250 | |
| 2016-05-03 12:23:15,077 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:23:15,586 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 12:23:33,168 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:24:42,451 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:24:48,074 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:32:04,968 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:32:18,935 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:32:24,871 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:34:17,194 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:34:29,274 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:34:45,692 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:34:50,164 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:35:23,568 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:35:56,348 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:44:37,018 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 12:44:37,450 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 12:44:58,160 Node[0] Epoch[0] Batch [50] Speed: 663.46 samples/sec Train-accuracy=0.105781 | |
| 2016-05-03 12:45:07,952 Node[0] Epoch[0] Batch [100] Speed: 653.66 samples/sec Train-accuracy=0.130625 | |
| 2016-05-03 12:45:17,796 Node[0] Epoch[0] Batch [150] Speed: 650.13 samples/sec Train-accuracy=0.129844 | |
| 2016-05-03 12:45:27,722 Node[0] Epoch[0] Batch [200] Speed: 644.80 samples/sec Train-accuracy=0.138437 | |
| 2016-05-03 12:45:37,642 Node[0] Epoch[0] Batch [250] Speed: 645.19 samples/sec Train-accuracy=0.159844 | |
| 2016-05-03 12:45:47,607 Node[0] Epoch[0] Batch [300] Speed: 642.24 samples/sec Train-accuracy=0.170156 | |
| 2016-05-03 12:45:57,530 Node[0] Epoch[0] Batch [350] Speed: 644.97 samples/sec Train-accuracy=0.199687 | |
| 2016-05-03 12:46:05,653 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 12:46:05,653 Node[0] Epoch[0] Time cost=77.394 | |
| 2016-05-03 12:46:05,807 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 12:46:07,797 Node[0] Epoch[0] Validation-accuracy=0.271559 | |
| 2016-05-03 12:46:17,782 Node[0] Epoch[1] Batch [50] Speed: 644.18 samples/sec Train-accuracy=0.268594 | |
| 2016-05-03 12:46:28,039 Node[0] Epoch[1] Batch [100] Speed: 624.01 samples/sec Train-accuracy=0.297031 | |
| 2016-05-03 12:46:38,303 Node[0] Epoch[1] Batch [150] Speed: 623.53 samples/sec Train-accuracy=0.338125 | |
| 2016-05-03 12:46:48,599 Node[0] Epoch[1] Batch [200] Speed: 621.63 samples/sec Train-accuracy=0.358906 | |
| 2016-05-03 12:46:58,879 Node[0] Epoch[1] Batch [250] Speed: 622.61 samples/sec Train-accuracy=0.383281 | |
| 2016-05-03 12:47:09,113 Node[0] Epoch[1] Batch [300] Speed: 625.36 samples/sec Train-accuracy=0.393750 | |
| 2016-05-03 12:47:19,336 Node[0] Epoch[1] Batch [350] Speed: 626.05 samples/sec Train-accuracy=0.414219 | |
| 2016-05-03 12:47:27,760 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 12:47:27,761 Node[0] Epoch[1] Time cost=79.964 | |
| 2016-05-03 12:47:27,921 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 12:47:29,872 Node[0] Epoch[1] Validation-accuracy=0.450921 | |
| 2016-05-03 12:47:40,174 Node[0] Epoch[2] Batch [50] Speed: 624.49 samples/sec Train-accuracy=0.418438 | |
| 2016-05-03 12:47:50,470 Node[0] Epoch[2] Batch [100] Speed: 621.66 samples/sec Train-accuracy=0.458906 | |
| 2016-05-03 12:48:00,746 Node[0] Epoch[2] Batch [150] Speed: 622.79 samples/sec Train-accuracy=0.464687 | |
| 2016-05-03 12:48:10,977 Node[0] Epoch[2] Batch [200] Speed: 625.60 samples/sec Train-accuracy=0.478594 | |
| 2016-05-03 12:48:21,246 Node[0] Epoch[2] Batch [250] Speed: 623.22 samples/sec Train-accuracy=0.493125 | |
| 2016-05-03 12:48:31,505 Node[0] Epoch[2] Batch [300] Speed: 623.86 samples/sec Train-accuracy=0.497500 | |
| 2016-05-03 12:48:41,761 Node[0] Epoch[2] Batch [350] Speed: 624.05 samples/sec Train-accuracy=0.511406 | |
| 2016-05-03 12:48:49,980 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 12:48:49,981 Node[0] Epoch[2] Time cost=80.108 | |
| 2016-05-03 12:48:50,144 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 12:48:52,060 Node[0] Epoch[2] Validation-accuracy=0.503205 | |
| 2016-05-03 12:49:02,400 Node[0] Epoch[3] Batch [50] Speed: 622.19 samples/sec Train-accuracy=0.530937 | |
| 2016-05-03 12:49:12,748 Node[0] Epoch[3] Batch [100] Speed: 618.52 samples/sec Train-accuracy=0.547969 | |
| 2016-05-03 12:49:23,066 Node[0] Epoch[3] Batch [150] Speed: 620.26 samples/sec Train-accuracy=0.555937 | |
| 2016-05-03 12:49:33,296 Node[0] Epoch[3] Batch [200] Speed: 625.68 samples/sec Train-accuracy=0.560625 | |
| 2016-05-03 12:49:43,600 Node[0] Epoch[3] Batch [250] Speed: 621.12 samples/sec Train-accuracy=0.579375 | |
| 2016-05-03 12:49:53,897 Node[0] Epoch[3] Batch [300] Speed: 621.56 samples/sec Train-accuracy=0.586406 | |
| 2016-05-03 12:50:04,154 Node[0] Epoch[3] Batch [350] Speed: 623.94 samples/sec Train-accuracy=0.586250 | |
| 2016-05-03 12:50:12,547 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 12:50:12,547 Node[0] Epoch[3] Time cost=80.487 | |
| 2016-05-03 12:50:12,709 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 12:50:14,685 Node[0] Epoch[3] Validation-accuracy=0.570012 | |
| 2016-05-03 12:50:25,017 Node[0] Epoch[4] Batch [50] Speed: 622.60 samples/sec Train-accuracy=0.607812 | |
| 2016-05-03 12:50:35,281 Node[0] Epoch[4] Batch [100] Speed: 623.60 samples/sec Train-accuracy=0.617031 | |
| 2016-05-03 12:50:45,517 Node[0] Epoch[4] Batch [150] Speed: 625.27 samples/sec Train-accuracy=0.621094 | |
| 2016-05-03 12:50:55,772 Node[0] Epoch[4] Batch [200] Speed: 624.09 samples/sec Train-accuracy=0.627656 | |
| 2016-05-03 12:51:06,011 Node[0] Epoch[4] Batch [250] Speed: 625.05 samples/sec Train-accuracy=0.626406 | |
| 2016-05-03 12:51:16,282 Node[0] Epoch[4] Batch [300] Speed: 623.12 samples/sec Train-accuracy=0.646719 | |
| 2016-05-03 12:51:26,533 Node[0] Epoch[4] Batch [350] Speed: 624.35 samples/sec Train-accuracy=0.648125 | |
| 2016-05-03 12:51:34,942 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 12:51:34,942 Node[0] Epoch[4] Time cost=80.257 | |
| 2016-05-03 12:51:35,105 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 12:51:36,987 Node[0] Epoch[4] Validation-accuracy=0.655549 | |
| 2016-05-03 12:51:47,307 Node[0] Epoch[5] Batch [50] Speed: 623.35 samples/sec Train-accuracy=0.655000 | |
| 2016-05-03 12:51:57,521 Node[0] Epoch[5] Batch [100] Speed: 626.64 samples/sec Train-accuracy=0.668281 | |
| 2016-05-03 12:52:07,706 Node[0] Epoch[5] Batch [150] Speed: 628.39 samples/sec Train-accuracy=0.667031 | |
| 2016-05-03 12:52:17,881 Node[0] Epoch[5] Batch [200] Speed: 628.99 samples/sec Train-accuracy=0.662500 | |
| 2016-05-03 12:52:28,070 Node[0] Epoch[5] Batch [250] Speed: 628.17 samples/sec Train-accuracy=0.670469 | |
| 2016-05-03 12:52:38,290 Node[0] Epoch[5] Batch [300] Speed: 626.22 samples/sec Train-accuracy=0.670469 | |
| 2016-05-03 12:52:48,557 Node[0] Epoch[5] Batch [350] Speed: 623.40 samples/sec Train-accuracy=0.680312 | |
| 2016-05-03 12:52:56,741 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 12:52:56,741 Node[0] Epoch[5] Time cost=79.754 | |
| 2016-05-03 12:52:56,905 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 12:52:58,852 Node[0] Epoch[5] Validation-accuracy=0.683193 | |
| 2016-05-03 12:53:09,134 Node[0] Epoch[6] Batch [50] Speed: 625.77 samples/sec Train-accuracy=0.692969 | |
| 2016-05-03 12:53:19,396 Node[0] Epoch[6] Batch [100] Speed: 623.68 samples/sec Train-accuracy=0.690000 | |
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| 2016-05-03 12:54:18,855 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 12:54:18,856 Node[0] Epoch[6] Time cost=80.003 | |
| 2016-05-03 12:54:19,014 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 12:54:20,971 Node[0] Epoch[6] Validation-accuracy=0.700321 | |
| 2016-05-03 12:54:31,185 Node[0] Epoch[7] Batch [50] Speed: 629.94 samples/sec Train-accuracy=0.715781 | |
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| 2016-05-03 12:55:40,546 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 12:55:40,547 Node[0] Epoch[7] Time cost=79.575 | |
| 2016-05-03 12:55:40,706 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 12:55:42,628 Node[0] Epoch[7] Validation-accuracy=0.740385 | |
| 2016-05-03 12:55:52,838 Node[0] Epoch[8] Batch [50] Speed: 630.30 samples/sec Train-accuracy=0.738125 | |
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| 2016-05-03 12:57:02,292 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 12:57:02,292 Node[0] Epoch[8] Time cost=79.664 | |
| 2016-05-03 12:57:02,449 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 12:57:04,545 Node[0] Epoch[8] Validation-accuracy=0.709059 | |
| 2016-05-03 12:57:14,803 Node[0] Epoch[9] Batch [50] Speed: 627.15 samples/sec Train-accuracy=0.754687 | |
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| 2016-05-03 12:58:24,128 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 12:58:24,128 Node[0] Epoch[9] Time cost=79.583 | |
| 2016-05-03 12:58:24,288 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 12:58:26,182 Node[0] Epoch[9] Validation-accuracy=0.747496 | |
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| 2016-05-03 12:59:45,633 Node[0] Epoch[10] Time cost=79.451 | |
| 2016-05-03 12:59:45,793 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 12:59:47,738 Node[0] Epoch[10] Validation-accuracy=0.757612 | |
| 2016-05-03 12:59:58,013 Node[0] Epoch[11] Batch [50] Speed: 626.20 samples/sec Train-accuracy=0.787031 | |
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| 2016-05-03 13:01:07,333 Node[0] Epoch[11] Time cost=79.595 | |
| 2016-05-03 13:01:07,497 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 13:01:09,360 Node[0] Epoch[11] Validation-accuracy=0.761218 | |
| 2016-05-03 13:01:19,547 Node[0] Epoch[12] Batch [50] Speed: 631.63 samples/sec Train-accuracy=0.793438 | |
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| 2016-05-03 13:02:28,773 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 13:02:28,773 Node[0] Epoch[12] Time cost=79.413 | |
| 2016-05-03 13:02:28,930 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 13:02:30,843 Node[0] Epoch[12] Validation-accuracy=0.784655 | |
| 2016-05-03 13:02:41,018 Node[0] Epoch[13] Batch [50] Speed: 632.34 samples/sec Train-accuracy=0.803594 | |
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| 2016-05-03 13:03:42,248 Node[0] Epoch[13] Batch [350] Speed: 625.60 samples/sec Train-accuracy=0.818438 | |
| 2016-05-03 13:03:50,418 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 13:03:50,418 Node[0] Epoch[13] Time cost=79.575 | |
| 2016-05-03 13:03:50,580 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 13:03:52,476 Node[0] Epoch[13] Validation-accuracy=0.775240 | |
| 2016-05-03 13:04:02,650 Node[0] Epoch[14] Batch [50] Speed: 632.29 samples/sec Train-accuracy=0.809219 | |
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| 2016-05-03 13:04:53,500 Node[0] Epoch[14] Batch [300] Speed: 627.62 samples/sec Train-accuracy=0.821719 | |
| 2016-05-03 13:05:03,682 Node[0] Epoch[14] Batch [350] Speed: 628.60 samples/sec Train-accuracy=0.820625 | |
| 2016-05-03 13:05:12,030 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 13:05:12,030 Node[0] Epoch[14] Time cost=79.554 | |
| 2016-05-03 13:05:12,191 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 13:05:14,167 Node[0] Epoch[14] Validation-accuracy=0.785357 | |
| 2016-05-03 13:05:24,469 Node[0] Epoch[15] Batch [50] Speed: 624.49 samples/sec Train-accuracy=0.817656 | |
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| 2016-05-03 13:06:15,333 Node[0] Epoch[15] Batch [300] Speed: 629.53 samples/sec Train-accuracy=0.827344 | |
| 2016-05-03 13:06:25,501 Node[0] Epoch[15] Batch [350] Speed: 629.42 samples/sec Train-accuracy=0.828438 | |
| 2016-05-03 13:06:33,656 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 13:06:33,656 Node[0] Epoch[15] Time cost=79.489 | |
| 2016-05-03 13:06:33,813 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 13:06:35,689 Node[0] Epoch[15] Validation-accuracy=0.783253 | |
| 2016-05-03 13:06:45,934 Node[0] Epoch[16] Batch [50] Speed: 628.01 samples/sec Train-accuracy=0.824531 | |
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| 2016-05-03 13:07:47,007 Node[0] Epoch[16] Batch [350] Speed: 631.94 samples/sec Train-accuracy=0.838281 | |
| 2016-05-03 13:07:55,369 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 13:07:55,369 Node[0] Epoch[16] Time cost=79.680 | |
| 2016-05-03 13:07:55,528 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 13:07:57,635 Node[0] Epoch[16] Validation-accuracy=0.800138 | |
| 2016-05-03 13:08:07,880 Node[0] Epoch[17] Batch [50] Speed: 628.02 samples/sec Train-accuracy=0.833750 | |
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| 2016-05-03 13:09:08,901 Node[0] Epoch[17] Batch [350] Speed: 626.06 samples/sec Train-accuracy=0.838125 | |
| 2016-05-03 13:09:17,231 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 13:09:17,232 Node[0] Epoch[17] Time cost=79.596 | |
| 2016-05-03 13:09:17,390 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 13:09:19,289 Node[0] Epoch[17] Validation-accuracy=0.801783 | |
| 2016-05-03 13:09:29,395 Node[0] Epoch[18] Batch [50] Speed: 636.60 samples/sec Train-accuracy=0.831094 | |
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| 2016-05-03 13:10:30,458 Node[0] Epoch[18] Batch [350] Speed: 631.57 samples/sec Train-accuracy=0.843437 | |
| 2016-05-03 13:10:38,549 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 13:10:38,549 Node[0] Epoch[18] Time cost=79.259 | |
| 2016-05-03 13:10:38,711 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 13:10:40,590 Node[0] Epoch[18] Validation-accuracy=0.800881 | |
| 2016-05-03 13:10:50,737 Node[0] Epoch[19] Batch [50] Speed: 634.10 samples/sec Train-accuracy=0.835625 | |
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| 2016-05-03 13:11:51,702 Node[0] Epoch[19] Batch [350] Speed: 629.53 samples/sec Train-accuracy=0.854375 | |
| 2016-05-03 13:12:00,015 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 13:12:00,015 Node[0] Epoch[19] Time cost=79.424 | |
| 2016-05-03 13:12:00,175 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 13:12:02,126 Node[0] Epoch[19] Validation-accuracy=0.807292 | |
| 2016-05-03 13:12:12,351 Node[0] Epoch[20] Batch [50] Speed: 629.26 samples/sec Train-accuracy=0.848437 | |
| 2016-05-03 13:12:22,582 Node[0] Epoch[20] Batch [100] Speed: 625.56 samples/sec Train-accuracy=0.847187 | |
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| 2016-05-03 13:13:21,870 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 13:13:21,870 Node[0] Epoch[20] Time cost=79.744 | |
| 2016-05-03 13:13:22,031 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 13:13:23,944 Node[0] Epoch[20] Validation-accuracy=0.806891 | |
| 2016-05-03 13:13:34,177 Node[0] Epoch[21] Batch [50] Speed: 628.88 samples/sec Train-accuracy=0.847969 | |
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| 2016-05-03 13:14:43,376 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-03 13:14:43,376 Node[0] Epoch[21] Time cost=79.432 | |
| 2016-05-03 13:14:43,534 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-03 13:14:45,462 Node[0] Epoch[21] Validation-accuracy=0.823618 | |
| 2016-05-03 13:14:55,649 Node[0] Epoch[22] Batch [50] Speed: 631.48 samples/sec Train-accuracy=0.850781 | |
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| 2016-05-03 13:15:56,538 Node[0] Epoch[22] Batch [350] Speed: 630.29 samples/sec Train-accuracy=0.863906 | |
| 2016-05-03 13:16:04,884 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-03 13:16:04,884 Node[0] Epoch[22] Time cost=79.422 | |
| 2016-05-03 13:16:05,046 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-03 13:16:06,959 Node[0] Epoch[22] Validation-accuracy=0.806390 | |
| 2016-05-03 13:16:17,125 Node[0] Epoch[23] Batch [50] Speed: 632.83 samples/sec Train-accuracy=0.856563 | |
| 2016-05-03 13:16:27,311 Node[0] Epoch[23] Batch [100] Speed: 628.28 samples/sec Train-accuracy=0.865469 | |
| 2016-05-03 13:16:37,451 Node[0] Epoch[23] Batch [150] Speed: 631.19 samples/sec Train-accuracy=0.867969 | |
| 2016-05-03 13:16:47,567 Node[0] Epoch[23] Batch [200] Speed: 632.68 samples/sec Train-accuracy=0.861406 | |
| 2016-05-03 13:16:57,716 Node[0] Epoch[23] Batch [250] Speed: 630.63 samples/sec Train-accuracy=0.860625 | |
| 2016-05-03 13:17:07,976 Node[0] Epoch[23] Batch [300] Speed: 623.79 samples/sec Train-accuracy=0.868750 | |
| 2016-05-03 13:17:18,221 Node[0] Epoch[23] Batch [350] Speed: 624.71 samples/sec Train-accuracy=0.865469 | |
| 2016-05-03 13:17:26,322 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-03 13:17:26,322 Node[0] Epoch[23] Time cost=79.363 | |
| 2016-05-03 13:17:26,479 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-03 13:17:28,388 Node[0] Epoch[23] Validation-accuracy=0.794071 | |
| 2016-05-03 13:17:38,474 Node[0] Epoch[24] Batch [50] Speed: 637.96 samples/sec Train-accuracy=0.861406 | |
| 2016-05-03 13:17:48,569 Node[0] Epoch[24] Batch [100] Speed: 633.97 samples/sec Train-accuracy=0.865625 | |
| 2016-05-03 13:17:58,760 Node[0] Epoch[24] Batch [150] Speed: 628.00 samples/sec Train-accuracy=0.871250 | |
| 2016-05-03 13:18:08,907 Node[0] Epoch[24] Batch [200] Speed: 630.77 samples/sec Train-accuracy=0.860469 | |
| 2016-05-03 13:18:19,031 Node[0] Epoch[24] Batch [250] Speed: 632.17 samples/sec Train-accuracy=0.865156 | |
| 2016-05-03 13:18:29,165 Node[0] Epoch[24] Batch [300] Speed: 631.57 samples/sec Train-accuracy=0.868125 | |
| 2016-05-03 13:18:39,362 Node[0] Epoch[24] Batch [350] Speed: 627.60 samples/sec Train-accuracy=0.862656 | |
| 2016-05-03 13:18:47,701 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-03 13:18:47,701 Node[0] Epoch[24] Time cost=79.313 | |
| 2016-05-03 13:18:47,860 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-03 13:18:49,896 Node[0] Epoch[24] Validation-accuracy=0.786689 | |
| 2016-05-03 13:19:00,045 Node[0] Epoch[25] Batch [50] Speed: 633.93 samples/sec Train-accuracy=0.864219 | |
| 2016-05-03 13:19:10,242 Node[0] Epoch[25] Batch [100] Speed: 627.60 samples/sec Train-accuracy=0.870156 | |
| 2016-05-03 13:19:20,428 Node[0] Epoch[25] Batch [150] Speed: 628.34 samples/sec Train-accuracy=0.869062 | |
| 2016-05-03 13:19:30,598 Node[0] Epoch[25] Batch [200] Speed: 629.32 samples/sec Train-accuracy=0.868750 | |
| 2016-05-03 13:19:40,738 Node[0] Epoch[25] Batch [250] Speed: 631.20 samples/sec Train-accuracy=0.866719 | |
| 2016-05-03 13:19:50,897 Node[0] Epoch[25] Batch [300] Speed: 629.99 samples/sec Train-accuracy=0.869375 | |
| 2016-05-03 13:20:01,069 Node[0] Epoch[25] Batch [350] Speed: 629.19 samples/sec Train-accuracy=0.873906 | |
| 2016-05-03 13:20:09,362 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-03 13:20:09,362 Node[0] Epoch[25] Time cost=79.466 | |
| 2016-05-03 13:20:09,523 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-03 13:20:11,417 Node[0] Epoch[25] Validation-accuracy=0.808694 | |
| 2016-05-03 13:20:21,621 Node[0] Epoch[26] Batch [50] Speed: 630.60 samples/sec Train-accuracy=0.865625 | |
| 2016-05-03 13:20:31,832 Node[0] Epoch[26] Batch [100] Speed: 626.81 samples/sec Train-accuracy=0.870000 | |
| 2016-05-03 13:20:41,997 Node[0] Epoch[26] Batch [150] Speed: 629.62 samples/sec Train-accuracy=0.876094 | |
| 2016-05-03 13:20:52,172 Node[0] Epoch[26] Batch [200] Speed: 629.01 samples/sec Train-accuracy=0.874687 | |
| 2016-05-03 13:21:02,336 Node[0] Epoch[26] Batch [250] Speed: 629.69 samples/sec Train-accuracy=0.873281 | |
| 2016-05-03 13:21:12,469 Node[0] Epoch[26] Batch [300] Speed: 631.63 samples/sec Train-accuracy=0.877969 | |
| 2016-05-03 13:21:22,645 Node[0] Epoch[26] Batch [350] Speed: 628.94 samples/sec Train-accuracy=0.876094 | |
| 2016-05-03 13:21:30,761 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-03 13:21:30,761 Node[0] Epoch[26] Time cost=79.344 | |
| 2016-05-03 13:21:30,917 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-03 13:21:32,832 Node[0] Epoch[26] Validation-accuracy=0.793870 | |
| 2016-05-03 13:21:43,059 Node[0] Epoch[27] Batch [50] Speed: 629.10 samples/sec Train-accuracy=0.866406 | |
| 2016-05-03 13:21:53,264 Node[0] Epoch[27] Batch [100] Speed: 627.11 samples/sec Train-accuracy=0.874062 | |
| 2016-05-03 13:22:03,461 Node[0] Epoch[27] Batch [150] Speed: 627.67 samples/sec Train-accuracy=0.876563 | |
| 2016-05-03 13:22:13,667 Node[0] Epoch[27] Batch [200] Speed: 627.14 samples/sec Train-accuracy=0.875938 | |
| 2016-05-03 13:22:23,886 Node[0] Epoch[27] Batch [250] Speed: 626.29 samples/sec Train-accuracy=0.872188 | |
| 2016-05-03 13:22:34,056 Node[0] Epoch[27] Batch [300] Speed: 629.28 samples/sec Train-accuracy=0.875781 | |
| 2016-05-03 13:22:44,218 Node[0] Epoch[27] Batch [350] Speed: 629.82 samples/sec Train-accuracy=0.875156 | |
| 2016-05-03 13:22:52,549 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-03 13:22:52,549 Node[0] Epoch[27] Time cost=79.716 | |
| 2016-05-03 13:22:52,711 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-03 13:22:54,646 Node[0] Epoch[27] Validation-accuracy=0.837640 | |
| 2016-05-03 13:23:04,970 Node[0] Epoch[28] Batch [50] Speed: 623.10 samples/sec Train-accuracy=0.875625 | |
| 2016-05-03 13:23:15,121 Node[0] Epoch[28] Batch [100] Speed: 630.50 samples/sec Train-accuracy=0.877812 | |
| 2016-05-03 13:23:25,298 Node[0] Epoch[28] Batch [150] Speed: 628.90 samples/sec Train-accuracy=0.883906 | |
| 2016-05-03 13:23:35,469 Node[0] Epoch[28] Batch [200] Speed: 629.25 samples/sec Train-accuracy=0.871406 | |
| 2016-05-03 13:23:45,658 Node[0] Epoch[28] Batch [250] Speed: 628.17 samples/sec Train-accuracy=0.875781 | |
| 2016-05-03 13:23:55,814 Node[0] Epoch[28] Batch [300] Speed: 630.15 samples/sec Train-accuracy=0.876250 | |
| 2016-05-03 13:24:05,989 Node[0] Epoch[28] Batch [350] Speed: 629.04 samples/sec Train-accuracy=0.878750 | |
| 2016-05-03 13:24:14,317 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-03 13:24:14,317 Node[0] Epoch[28] Time cost=79.671 | |
| 2016-05-03 13:24:14,477 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-03 13:24:16,408 Node[0] Epoch[28] Validation-accuracy=0.818409 | |
| 2016-05-03 13:24:26,655 Node[0] Epoch[29] Batch [50] Speed: 627.78 samples/sec Train-accuracy=0.874062 | |
| 2016-05-03 13:24:36,789 Node[0] Epoch[29] Batch [100] Speed: 631.55 samples/sec Train-accuracy=0.880156 | |
| 2016-05-03 13:24:46,933 Node[0] Epoch[29] Batch [150] Speed: 630.98 samples/sec Train-accuracy=0.885625 | |
| 2016-05-03 13:24:57,088 Node[0] Epoch[29] Batch [200] Speed: 630.24 samples/sec Train-accuracy=0.876094 | |
| 2016-05-03 13:25:07,294 Node[0] Epoch[29] Batch [250] Speed: 627.12 samples/sec Train-accuracy=0.882656 | |
| 2016-05-03 13:25:17,451 Node[0] Epoch[29] Batch [300] Speed: 630.07 samples/sec Train-accuracy=0.876875 | |
| 2016-05-03 13:25:27,641 Node[0] Epoch[29] Batch [350] Speed: 628.09 samples/sec Train-accuracy=0.886250 | |
| 2016-05-03 13:25:35,767 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-03 13:25:35,768 Node[0] Epoch[29] Time cost=79.360 | |
| 2016-05-03 13:25:35,927 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-03 13:25:37,823 Node[0] Epoch[29] Validation-accuracy=0.813502 | |
| 2016-05-03 13:25:47,967 Node[0] Epoch[30] Batch [50] Speed: 634.20 samples/sec Train-accuracy=0.876094 | |
| 2016-05-03 13:25:58,087 Node[0] Epoch[30] Batch [100] Speed: 632.43 samples/sec Train-accuracy=0.882656 | |
| 2016-05-03 13:26:08,232 Node[0] Epoch[30] Batch [150] Speed: 630.89 samples/sec Train-accuracy=0.886094 | |
| 2016-05-03 13:26:18,397 Node[0] Epoch[30] Batch [200] Speed: 629.66 samples/sec Train-accuracy=0.881719 | |
| 2016-05-03 13:26:28,552 Node[0] Epoch[30] Batch [250] Speed: 630.21 samples/sec Train-accuracy=0.879687 | |
| 2016-05-03 13:26:38,698 Node[0] Epoch[30] Batch [300] Speed: 630.81 samples/sec Train-accuracy=0.883281 | |
| 2016-05-03 13:26:48,898 Node[0] Epoch[30] Batch [350] Speed: 627.47 samples/sec Train-accuracy=0.872812 | |
| 2016-05-03 13:26:57,227 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-03 13:26:57,227 Node[0] Epoch[30] Time cost=79.404 | |
| 2016-05-03 13:26:57,385 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-03 13:26:59,321 Node[0] Epoch[30] Validation-accuracy=0.821915 | |
| 2016-05-03 13:27:09,486 Node[0] Epoch[31] Batch [50] Speed: 632.99 samples/sec Train-accuracy=0.880313 | |
| 2016-05-03 13:27:19,676 Node[0] Epoch[31] Batch [100] Speed: 628.12 samples/sec Train-accuracy=0.890469 | |
| 2016-05-03 13:27:29,806 Node[0] Epoch[31] Batch [150] Speed: 631.81 samples/sec Train-accuracy=0.892188 | |
| 2016-05-03 13:27:39,924 Node[0] Epoch[31] Batch [200] Speed: 632.52 samples/sec Train-accuracy=0.886563 | |
| 2016-05-03 13:27:50,069 Node[0] Epoch[31] Batch [250] Speed: 630.85 samples/sec Train-accuracy=0.880938 | |
| 2016-05-03 13:28:00,257 Node[0] Epoch[31] Batch [300] Speed: 628.26 samples/sec Train-accuracy=0.888750 | |
| 2016-05-03 13:28:10,400 Node[0] Epoch[31] Batch [350] Speed: 630.95 samples/sec Train-accuracy=0.882969 | |
| 2016-05-03 13:28:18,550 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-03 13:28:18,551 Node[0] Epoch[31] Time cost=79.230 | |
| 2016-05-03 13:28:18,707 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-03 13:28:20,590 Node[0] Epoch[31] Validation-accuracy=0.836338 | |
| 2016-05-03 13:28:30,775 Node[0] Epoch[32] Batch [50] Speed: 631.65 samples/sec Train-accuracy=0.881406 | |
| 2016-05-03 13:28:40,932 Node[0] Epoch[32] Batch [100] Speed: 630.13 samples/sec Train-accuracy=0.890000 | |
| 2016-05-03 13:28:51,105 Node[0] Epoch[32] Batch [150] Speed: 629.16 samples/sec Train-accuracy=0.889062 | |
| 2016-05-03 13:29:01,281 Node[0] Epoch[32] Batch [200] Speed: 628.96 samples/sec Train-accuracy=0.887813 | |
| 2016-05-03 13:29:11,457 Node[0] Epoch[32] Batch [250] Speed: 628.93 samples/sec Train-accuracy=0.890469 | |
| 2016-05-03 13:29:21,630 Node[0] Epoch[32] Batch [300] Speed: 629.10 samples/sec Train-accuracy=0.891719 | |
| 2016-05-03 13:29:31,852 Node[0] Epoch[32] Batch [350] Speed: 626.14 samples/sec Train-accuracy=0.887813 | |
| 2016-05-03 13:29:40,173 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-03 13:29:40,174 Node[0] Epoch[32] Time cost=79.584 | |
| 2016-05-03 13:29:40,331 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-03 13:29:42,355 Node[0] Epoch[32] Validation-accuracy=0.847607 | |
| 2016-05-03 13:29:52,511 Node[0] Epoch[33] Batch [50] Speed: 633.48 samples/sec Train-accuracy=0.885312 | |
| 2016-05-03 13:30:02,663 Node[0] Epoch[33] Batch [100] Speed: 630.42 samples/sec Train-accuracy=0.890938 | |
| 2016-05-03 13:30:12,816 Node[0] Epoch[33] Batch [150] Speed: 630.39 samples/sec Train-accuracy=0.891094 | |
| 2016-05-03 13:30:22,965 Node[0] Epoch[33] Batch [200] Speed: 630.63 samples/sec Train-accuracy=0.885469 | |
| 2016-05-03 13:30:33,141 Node[0] Epoch[33] Batch [250] Speed: 628.96 samples/sec Train-accuracy=0.885938 | |
| 2016-05-03 13:30:43,301 Node[0] Epoch[33] Batch [300] Speed: 629.91 samples/sec Train-accuracy=0.888906 | |
| 2016-05-03 13:30:53,504 Node[0] Epoch[33] Batch [350] Speed: 627.32 samples/sec Train-accuracy=0.888906 | |
| 2016-05-03 13:31:01,818 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-03 13:31:01,818 Node[0] Epoch[33] Time cost=79.463 | |
| 2016-05-03 13:31:01,979 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-03 13:31:03,859 Node[0] Epoch[33] Validation-accuracy=0.829527 | |
| 2016-05-03 13:31:14,037 Node[0] Epoch[34] Batch [50] Speed: 632.21 samples/sec Train-accuracy=0.887813 | |
| 2016-05-03 13:31:24,171 Node[0] Epoch[34] Batch [100] Speed: 631.55 samples/sec Train-accuracy=0.893594 | |
| 2016-05-03 13:31:34,307 Node[0] Epoch[34] Batch [150] Speed: 631.43 samples/sec Train-accuracy=0.899687 | |
| 2016-05-03 13:31:44,437 Node[0] Epoch[34] Batch [200] Speed: 631.79 samples/sec Train-accuracy=0.886719 | |
| 2016-05-03 13:31:54,611 Node[0] Epoch[34] Batch [250] Speed: 629.05 samples/sec Train-accuracy=0.890469 | |
| 2016-05-03 13:32:04,792 Node[0] Epoch[34] Batch [300] Speed: 628.66 samples/sec Train-accuracy=0.890781 | |
| 2016-05-03 13:32:14,931 Node[0] Epoch[34] Batch [350] Speed: 631.25 samples/sec Train-accuracy=0.889531 | |
| 2016-05-03 13:32:23,031 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-03 13:32:23,031 Node[0] Epoch[34] Time cost=79.172 | |
| 2016-05-03 13:32:23,191 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-03 13:32:25,119 Node[0] Epoch[34] Validation-accuracy=0.826623 | |
| 2016-05-03 13:32:35,283 Node[0] Epoch[35] Batch [50] Speed: 633.01 samples/sec Train-accuracy=0.892188 | |
| 2016-05-03 13:32:45,463 Node[0] Epoch[35] Batch [100] Speed: 628.70 samples/sec Train-accuracy=0.893437 | |
| 2016-05-03 13:32:55,604 Node[0] Epoch[35] Batch [150] Speed: 631.10 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 13:33:05,717 Node[0] Epoch[35] Batch [200] Speed: 632.85 samples/sec Train-accuracy=0.890000 | |
| 2016-05-03 13:33:15,861 Node[0] Epoch[35] Batch [250] Speed: 630.97 samples/sec Train-accuracy=0.891094 | |
| 2016-05-03 13:33:26,039 Node[0] Epoch[35] Batch [300] Speed: 628.77 samples/sec Train-accuracy=0.889375 | |
| 2016-05-03 13:33:36,206 Node[0] Epoch[35] Batch [350] Speed: 629.54 samples/sec Train-accuracy=0.896094 | |
| 2016-05-03 13:33:44,537 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-03 13:33:44,538 Node[0] Epoch[35] Time cost=79.418 | |
| 2016-05-03 13:33:44,698 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-03 13:33:46,620 Node[0] Epoch[35] Validation-accuracy=0.839744 | |
| 2016-05-03 13:33:56,850 Node[0] Epoch[36] Batch [50] Speed: 628.97 samples/sec Train-accuracy=0.893437 | |
| 2016-05-03 13:34:06,981 Node[0] Epoch[36] Batch [100] Speed: 631.74 samples/sec Train-accuracy=0.889844 | |
| 2016-05-03 13:34:17,185 Node[0] Epoch[36] Batch [150] Speed: 627.19 samples/sec Train-accuracy=0.895938 | |
| 2016-05-03 13:34:27,283 Node[0] Epoch[36] Batch [200] Speed: 633.81 samples/sec Train-accuracy=0.890781 | |
| 2016-05-03 13:34:37,463 Node[0] Epoch[36] Batch [250] Speed: 628.70 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 13:34:47,695 Node[0] Epoch[36] Batch [300] Speed: 625.50 samples/sec Train-accuracy=0.896406 | |
| 2016-05-03 13:34:57,895 Node[0] Epoch[36] Batch [350] Speed: 627.49 samples/sec Train-accuracy=0.893750 | |
| 2016-05-03 13:35:06,206 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-03 13:35:06,206 Node[0] Epoch[36] Time cost=79.587 | |
| 2016-05-03 13:35:06,364 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-03 13:35:08,253 Node[0] Epoch[36] Validation-accuracy=0.833834 | |
| 2016-05-03 13:35:18,406 Node[0] Epoch[37] Batch [50] Speed: 633.77 samples/sec Train-accuracy=0.892969 | |
| 2016-05-03 13:35:28,532 Node[0] Epoch[37] Batch [100] Speed: 632.11 samples/sec Train-accuracy=0.895625 | |
| 2016-05-03 13:35:38,723 Node[0] Epoch[37] Batch [150] Speed: 628.02 samples/sec Train-accuracy=0.894219 | |
| 2016-05-03 13:35:48,908 Node[0] Epoch[37] Batch [200] Speed: 628.34 samples/sec Train-accuracy=0.893281 | |
| 2016-05-03 13:35:59,054 Node[0] Epoch[37] Batch [250] Speed: 630.82 samples/sec Train-accuracy=0.892031 | |
| 2016-05-03 13:36:09,226 Node[0] Epoch[37] Batch [300] Speed: 629.19 samples/sec Train-accuracy=0.895156 | |
| 2016-05-03 13:36:19,403 Node[0] Epoch[37] Batch [350] Speed: 628.91 samples/sec Train-accuracy=0.895625 | |
| 2016-05-03 13:36:27,548 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-03 13:36:27,548 Node[0] Epoch[37] Time cost=79.294 | |
| 2016-05-03 13:36:27,708 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-03 13:36:29,654 Node[0] Epoch[37] Validation-accuracy=0.831530 | |
| 2016-05-03 13:36:39,861 Node[0] Epoch[38] Batch [50] Speed: 630.26 samples/sec Train-accuracy=0.888594 | |
| 2016-05-03 13:36:50,002 Node[0] Epoch[38] Batch [100] Speed: 631.16 samples/sec Train-accuracy=0.899219 | |
| 2016-05-03 13:37:00,182 Node[0] Epoch[38] Batch [150] Speed: 628.70 samples/sec Train-accuracy=0.898750 | |
| 2016-05-03 13:37:10,365 Node[0] Epoch[38] Batch [200] Speed: 628.47 samples/sec Train-accuracy=0.900000 | |
| 2016-05-03 13:37:20,508 Node[0] Epoch[38] Batch [250] Speed: 631.02 samples/sec Train-accuracy=0.893750 | |
| 2016-05-03 13:37:30,691 Node[0] Epoch[38] Batch [300] Speed: 628.50 samples/sec Train-accuracy=0.899531 | |
| 2016-05-03 13:37:40,865 Node[0] Epoch[38] Batch [350] Speed: 629.10 samples/sec Train-accuracy=0.899062 | |
| 2016-05-03 13:37:49,181 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-03 13:37:49,181 Node[0] Epoch[38] Time cost=79.527 | |
| 2016-05-03 13:37:49,340 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-03 13:37:51,293 Node[0] Epoch[38] Validation-accuracy=0.816707 | |
| 2016-05-03 13:38:01,483 Node[0] Epoch[39] Batch [50] Speed: 631.56 samples/sec Train-accuracy=0.893125 | |
| 2016-05-03 13:38:11,800 Node[0] Epoch[39] Batch [100] Speed: 620.40 samples/sec Train-accuracy=0.907031 | |
| 2016-05-03 13:38:21,982 Node[0] Epoch[39] Batch [150] Speed: 628.57 samples/sec Train-accuracy=0.899219 | |
| 2016-05-03 13:38:32,136 Node[0] Epoch[39] Batch [200] Speed: 630.26 samples/sec Train-accuracy=0.894531 | |
| 2016-05-03 13:40:02,573 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 13:40:02,966 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 13:40:23,701 Node[0] Epoch[0] Batch [50] Speed: 651.37 samples/sec Train-accuracy=0.134063 | |
| 2016-05-03 13:40:33,787 Node[0] Epoch[0] Batch [100] Speed: 634.62 samples/sec Train-accuracy=0.185781 | |
| 2016-05-03 13:40:43,840 Node[0] Epoch[0] Batch [150] Speed: 636.64 samples/sec Train-accuracy=0.219375 | |
| 2016-05-03 13:40:53,928 Node[0] Epoch[0] Batch [200] Speed: 634.43 samples/sec Train-accuracy=0.252969 | |
| 2016-05-03 13:41:04,015 Node[0] Epoch[0] Batch [250] Speed: 634.49 samples/sec Train-accuracy=0.296094 | |
| 2016-05-03 13:41:14,619 Node[0] Epoch[0] Batch [300] Speed: 603.56 samples/sec Train-accuracy=0.335000 | |
| 2016-05-03 13:41:25,357 Node[0] Epoch[0] Batch [350] Speed: 595.99 samples/sec Train-accuracy=0.355312 | |
| 2016-05-03 13:41:34,162 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 13:41:34,162 Node[0] Epoch[0] Time cost=80.553 | |
| 2016-05-03 13:41:34,329 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 13:41:36,554 Node[0] Epoch[0] Validation-accuracy=0.301028 | |
| 2016-05-03 13:41:47,373 Node[0] Epoch[1] Batch [50] Speed: 594.72 samples/sec Train-accuracy=0.383594 | |
| 2016-05-03 13:41:58,100 Node[0] Epoch[1] Batch [100] Speed: 596.62 samples/sec Train-accuracy=0.410469 | |
| 2016-05-03 13:42:08,831 Node[0] Epoch[1] Batch [150] Speed: 596.46 samples/sec Train-accuracy=0.437344 | |
| 2016-05-03 13:42:19,470 Node[0] Epoch[1] Batch [200] Speed: 601.54 samples/sec Train-accuracy=0.433281 | |
| 2016-05-03 13:42:30,024 Node[0] Epoch[1] Batch [250] Speed: 606.43 samples/sec Train-accuracy=0.461094 | |
| 2016-05-03 13:42:40,620 Node[0] Epoch[1] Batch [300] Speed: 604.04 samples/sec Train-accuracy=0.471250 | |
| 2016-05-03 13:42:51,194 Node[0] Epoch[1] Batch [350] Speed: 605.23 samples/sec Train-accuracy=0.477500 | |
| 2016-05-03 13:42:59,850 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 13:42:59,850 Node[0] Epoch[1] Time cost=83.295 | |
| 2016-05-03 13:43:00,013 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 13:43:01,990 Node[0] Epoch[1] Validation-accuracy=0.470052 | |
| 2016-05-03 13:43:12,680 Node[0] Epoch[2] Batch [50] Speed: 602.02 samples/sec Train-accuracy=0.496875 | |
| 2016-05-03 13:43:23,255 Node[0] Epoch[2] Batch [100] Speed: 605.22 samples/sec Train-accuracy=0.524062 | |
| 2016-05-03 13:43:33,809 Node[0] Epoch[2] Batch [150] Speed: 606.37 samples/sec Train-accuracy=0.525000 | |
| 2016-05-03 13:43:44,434 Node[0] Epoch[2] Batch [200] Speed: 602.41 samples/sec Train-accuracy=0.534375 | |
| 2016-05-03 13:43:55,018 Node[0] Epoch[2] Batch [250] Speed: 604.70 samples/sec Train-accuracy=0.549844 | |
| 2016-05-03 13:44:05,587 Node[0] Epoch[2] Batch [300] Speed: 605.54 samples/sec Train-accuracy=0.553906 | |
| 2016-05-03 13:44:16,162 Node[0] Epoch[2] Batch [350] Speed: 605.22 samples/sec Train-accuracy=0.567344 | |
| 2016-05-03 13:44:24,568 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 13:44:24,568 Node[0] Epoch[2] Time cost=82.577 | |
| 2016-05-03 13:44:24,732 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 13:44:26,680 Node[0] Epoch[2] Validation-accuracy=0.537059 | |
| 2016-05-03 13:44:37,189 Node[0] Epoch[3] Batch [50] Speed: 612.36 samples/sec Train-accuracy=0.583906 | |
| 2016-05-03 13:44:47,590 Node[0] Epoch[3] Batch [100] Speed: 615.29 samples/sec Train-accuracy=0.591719 | |
| 2016-05-03 13:44:58,015 Node[0] Epoch[3] Batch [150] Speed: 613.95 samples/sec Train-accuracy=0.605938 | |
| 2016-05-03 13:45:08,436 Node[0] Epoch[3] Batch [200] Speed: 614.15 samples/sec Train-accuracy=0.616094 | |
| 2016-05-03 13:45:18,931 Node[0] Epoch[3] Batch [250] Speed: 609.84 samples/sec Train-accuracy=0.614531 | |
| 2016-05-03 13:45:29,466 Node[0] Epoch[3] Batch [300] Speed: 607.49 samples/sec Train-accuracy=0.622344 | |
| 2016-05-03 13:45:39,985 Node[0] Epoch[3] Batch [350] Speed: 608.49 samples/sec Train-accuracy=0.634844 | |
| 2016-05-03 13:45:48,635 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 13:45:48,635 Node[0] Epoch[3] Time cost=81.955 | |
| 2016-05-03 13:45:48,799 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 13:45:50,747 Node[0] Epoch[3] Validation-accuracy=0.624900 | |
| 2016-05-03 13:46:01,149 Node[0] Epoch[4] Batch [50] Speed: 618.49 samples/sec Train-accuracy=0.640156 | |
| 2016-05-03 13:46:11,590 Node[0] Epoch[4] Batch [100] Speed: 613.02 samples/sec Train-accuracy=0.648594 | |
| 2016-05-03 13:46:22,018 Node[0] Epoch[4] Batch [150] Speed: 613.72 samples/sec Train-accuracy=0.660000 | |
| 2016-05-03 13:46:32,408 Node[0] Epoch[4] Batch [200] Speed: 616.01 samples/sec Train-accuracy=0.659062 | |
| 2016-05-03 13:46:42,838 Node[0] Epoch[4] Batch [250] Speed: 613.61 samples/sec Train-accuracy=0.658750 | |
| 2016-05-03 13:46:53,204 Node[0] Epoch[4] Batch [300] Speed: 617.44 samples/sec Train-accuracy=0.666562 | |
| 2016-05-03 13:47:03,579 Node[0] Epoch[4] Batch [350] Speed: 616.89 samples/sec Train-accuracy=0.680781 | |
| 2016-05-03 13:47:11,988 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 13:47:11,988 Node[0] Epoch[4] Time cost=81.241 | |
| 2016-05-03 13:47:12,148 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 13:47:14,116 Node[0] Epoch[4] Validation-accuracy=0.665966 | |
| 2016-05-03 13:47:24,514 Node[0] Epoch[5] Batch [50] Speed: 618.94 samples/sec Train-accuracy=0.667344 | |
| 2016-05-03 13:47:34,958 Node[0] Epoch[5] Batch [100] Speed: 612.86 samples/sec Train-accuracy=0.694688 | |
| 2016-05-03 13:47:45,351 Node[0] Epoch[5] Batch [150] Speed: 615.77 samples/sec Train-accuracy=0.696406 | |
| 2016-05-03 13:47:55,654 Node[0] Epoch[5] Batch [200] Speed: 621.23 samples/sec Train-accuracy=0.700156 | |
| 2016-05-03 13:48:05,985 Node[0] Epoch[5] Batch [250] Speed: 619.51 samples/sec Train-accuracy=0.697812 | |
| 2016-05-03 13:48:16,274 Node[0] Epoch[5] Batch [300] Speed: 622.00 samples/sec Train-accuracy=0.713125 | |
| 2016-05-03 13:48:26,556 Node[0] Epoch[5] Batch [350] Speed: 622.49 samples/sec Train-accuracy=0.716875 | |
| 2016-05-03 13:48:34,776 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 13:48:34,777 Node[0] Epoch[5] Time cost=80.660 | |
| 2016-05-03 13:48:34,937 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 13:48:36,898 Node[0] Epoch[5] Validation-accuracy=0.706230 | |
| 2016-05-03 13:48:47,269 Node[0] Epoch[6] Batch [50] Speed: 620.40 samples/sec Train-accuracy=0.719531 | |
| 2016-05-03 13:48:57,597 Node[0] Epoch[6] Batch [100] Speed: 619.68 samples/sec Train-accuracy=0.723125 | |
| 2016-05-03 13:49:07,922 Node[0] Epoch[6] Batch [150] Speed: 619.90 samples/sec Train-accuracy=0.736719 | |
| 2016-05-03 13:49:18,214 Node[0] Epoch[6] Batch [200] Speed: 621.87 samples/sec Train-accuracy=0.730469 | |
| 2016-05-03 13:49:28,516 Node[0] Epoch[6] Batch [250] Speed: 621.26 samples/sec Train-accuracy=0.730938 | |
| 2016-05-03 13:49:38,817 Node[0] Epoch[6] Batch [300] Speed: 621.29 samples/sec Train-accuracy=0.731406 | |
| 2016-05-03 13:49:49,124 Node[0] Epoch[6] Batch [350] Speed: 620.94 samples/sec Train-accuracy=0.747344 | |
| 2016-05-03 13:49:57,531 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 13:49:57,532 Node[0] Epoch[6] Time cost=80.633 | |
| 2016-05-03 13:49:57,693 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 13:49:59,624 Node[0] Epoch[6] Validation-accuracy=0.702925 | |
| 2016-05-03 13:50:09,989 Node[0] Epoch[7] Batch [50] Speed: 620.68 samples/sec Train-accuracy=0.744687 | |
| 2016-05-03 13:50:20,374 Node[0] Epoch[7] Batch [100] Speed: 616.32 samples/sec Train-accuracy=0.739219 | |
| 2016-05-03 13:50:30,666 Node[0] Epoch[7] Batch [150] Speed: 621.81 samples/sec Train-accuracy=0.753594 | |
| 2016-05-03 13:50:40,920 Node[0] Epoch[7] Batch [200] Speed: 624.21 samples/sec Train-accuracy=0.748906 | |
| 2016-05-03 13:50:51,202 Node[0] Epoch[7] Batch [250] Speed: 622.46 samples/sec Train-accuracy=0.760312 | |
| 2016-05-03 13:51:01,515 Node[0] Epoch[7] Batch [300] Speed: 620.60 samples/sec Train-accuracy=0.754219 | |
| 2016-05-03 13:51:11,792 Node[0] Epoch[7] Batch [350] Speed: 622.76 samples/sec Train-accuracy=0.764219 | |
| 2016-05-03 13:51:20,014 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 13:51:20,015 Node[0] Epoch[7] Time cost=80.390 | |
| 2016-05-03 13:51:20,178 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 13:51:22,114 Node[0] Epoch[7] Validation-accuracy=0.730970 | |
| 2016-05-03 13:51:32,557 Node[0] Epoch[8] Batch [50] Speed: 616.17 samples/sec Train-accuracy=0.752031 | |
| 2016-05-03 13:51:42,869 Node[0] Epoch[8] Batch [100] Speed: 620.68 samples/sec Train-accuracy=0.763437 | |
| 2016-05-03 13:51:53,160 Node[0] Epoch[8] Batch [150] Speed: 621.91 samples/sec Train-accuracy=0.771875 | |
| 2016-05-03 13:52:03,441 Node[0] Epoch[8] Batch [200] Speed: 622.50 samples/sec Train-accuracy=0.765469 | |
| 2016-05-03 13:52:13,747 Node[0] Epoch[8] Batch [250] Speed: 621.02 samples/sec Train-accuracy=0.772188 | |
| 2016-05-03 13:52:24,035 Node[0] Epoch[8] Batch [300] Speed: 622.10 samples/sec Train-accuracy=0.769219 | |
| 2016-05-03 13:52:34,359 Node[0] Epoch[8] Batch [350] Speed: 619.98 samples/sec Train-accuracy=0.772656 | |
| 2016-05-03 13:52:42,799 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 13:52:42,799 Node[0] Epoch[8] Time cost=80.686 | |
| 2016-05-03 13:52:42,962 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 13:52:45,068 Node[0] Epoch[8] Validation-accuracy=0.753758 | |
| 2016-05-03 13:52:55,387 Node[0] Epoch[9] Batch [50] Speed: 623.53 samples/sec Train-accuracy=0.769219 | |
| 2016-05-03 13:53:05,668 Node[0] Epoch[9] Batch [100] Speed: 622.54 samples/sec Train-accuracy=0.782969 | |
| 2016-05-03 13:53:15,894 Node[0] Epoch[9] Batch [150] Speed: 625.84 samples/sec Train-accuracy=0.785625 | |
| 2016-05-03 13:53:26,134 Node[0] Epoch[9] Batch [200] Speed: 625.05 samples/sec Train-accuracy=0.781563 | |
| 2016-05-03 13:53:36,415 Node[0] Epoch[9] Batch [250] Speed: 622.48 samples/sec Train-accuracy=0.779531 | |
| 2016-05-03 13:53:46,756 Node[0] Epoch[9] Batch [300] Speed: 618.91 samples/sec Train-accuracy=0.782188 | |
| 2016-05-03 13:53:57,059 Node[0] Epoch[9] Batch [350] Speed: 621.22 samples/sec Train-accuracy=0.779062 | |
| 2016-05-03 13:54:05,466 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 13:54:05,466 Node[0] Epoch[9] Time cost=80.398 | |
| 2016-05-03 13:54:05,625 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 13:54:07,564 Node[0] Epoch[9] Validation-accuracy=0.721554 | |
| 2016-05-03 13:54:17,870 Node[0] Epoch[10] Batch [50] Speed: 624.27 samples/sec Train-accuracy=0.787656 | |
| 2016-05-03 13:54:28,172 Node[0] Epoch[10] Batch [100] Speed: 621.26 samples/sec Train-accuracy=0.788906 | |
| 2016-05-03 13:54:38,438 Node[0] Epoch[10] Batch [150] Speed: 623.38 samples/sec Train-accuracy=0.800312 | |
| 2016-05-03 13:54:48,676 Node[0] Epoch[10] Batch [200] Speed: 625.14 samples/sec Train-accuracy=0.790156 | |
| 2016-05-03 13:54:58,973 Node[0] Epoch[10] Batch [250] Speed: 621.58 samples/sec Train-accuracy=0.787031 | |
| 2016-05-03 13:55:09,254 Node[0] Epoch[10] Batch [300] Speed: 622.54 samples/sec Train-accuracy=0.799063 | |
| 2016-05-03 13:55:19,549 Node[0] Epoch[10] Batch [350] Speed: 621.66 samples/sec Train-accuracy=0.795625 | |
| 2016-05-03 13:55:27,753 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 13:55:27,753 Node[0] Epoch[10] Time cost=80.189 | |
| 2016-05-03 13:55:27,913 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 13:55:29,863 Node[0] Epoch[10] Validation-accuracy=0.779748 | |
| 2016-05-03 13:55:40,054 Node[0] Epoch[11] Batch [50] Speed: 631.33 samples/sec Train-accuracy=0.797656 | |
| 2016-05-03 13:55:50,288 Node[0] Epoch[11] Batch [100] Speed: 625.36 samples/sec Train-accuracy=0.799375 | |
| 2016-05-03 13:56:00,522 Node[0] Epoch[11] Batch [150] Speed: 625.41 samples/sec Train-accuracy=0.807656 | |
| 2016-05-03 13:56:10,764 Node[0] Epoch[11] Batch [200] Speed: 624.88 samples/sec Train-accuracy=0.796562 | |
| 2016-05-03 13:56:21,102 Node[0] Epoch[11] Batch [250] Speed: 619.09 samples/sec Train-accuracy=0.802344 | |
| 2016-05-03 13:56:31,399 Node[0] Epoch[11] Batch [300] Speed: 621.58 samples/sec Train-accuracy=0.802344 | |
| 2016-05-03 13:56:41,693 Node[0] Epoch[11] Batch [350] Speed: 621.74 samples/sec Train-accuracy=0.804063 | |
| 2016-05-03 13:56:50,129 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 13:56:50,130 Node[0] Epoch[11] Time cost=80.267 | |
| 2016-05-03 13:56:50,290 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 13:56:52,216 Node[0] Epoch[11] Validation-accuracy=0.741987 | |
| 2016-05-03 13:57:02,431 Node[0] Epoch[12] Batch [50] Speed: 629.84 samples/sec Train-accuracy=0.803281 | |
| 2016-05-03 13:57:12,760 Node[0] Epoch[12] Batch [100] Speed: 619.62 samples/sec Train-accuracy=0.811250 | |
| 2016-05-03 13:57:23,010 Node[0] Epoch[12] Batch [150] Speed: 624.40 samples/sec Train-accuracy=0.814375 | |
| 2016-05-03 13:57:33,179 Node[0] Epoch[12] Batch [200] Speed: 629.37 samples/sec Train-accuracy=0.804531 | |
| 2016-05-03 13:57:43,414 Node[0] Epoch[12] Batch [250] Speed: 625.32 samples/sec Train-accuracy=0.806250 | |
| 2016-05-03 13:57:53,614 Node[0] Epoch[12] Batch [300] Speed: 627.47 samples/sec Train-accuracy=0.811094 | |
| 2016-05-03 13:58:03,808 Node[0] Epoch[12] Batch [350] Speed: 627.85 samples/sec Train-accuracy=0.806719 | |
| 2016-05-03 13:58:12,244 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 13:58:12,245 Node[0] Epoch[12] Time cost=80.029 | |
| 2016-05-03 13:58:12,404 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 13:58:14,340 Node[0] Epoch[12] Validation-accuracy=0.791266 | |
| 2016-05-03 13:58:24,698 Node[0] Epoch[13] Batch [50] Speed: 621.16 samples/sec Train-accuracy=0.810625 | |
| 2016-05-03 13:58:34,982 Node[0] Epoch[13] Batch [100] Speed: 622.36 samples/sec Train-accuracy=0.822187 | |
| 2016-05-03 13:58:45,249 Node[0] Epoch[13] Batch [150] Speed: 623.39 samples/sec Train-accuracy=0.822344 | |
| 2016-05-03 13:58:55,471 Node[0] Epoch[13] Batch [200] Speed: 626.09 samples/sec Train-accuracy=0.814531 | |
| 2016-05-03 13:59:05,736 Node[0] Epoch[13] Batch [250] Speed: 623.51 samples/sec Train-accuracy=0.813750 | |
| 2016-05-03 13:59:15,973 Node[0] Epoch[13] Batch [300] Speed: 625.21 samples/sec Train-accuracy=0.818438 | |
| 2016-05-03 13:59:26,231 Node[0] Epoch[13] Batch [350] Speed: 623.91 samples/sec Train-accuracy=0.817656 | |
| 2016-05-03 13:59:34,430 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 13:59:34,430 Node[0] Epoch[13] Time cost=80.091 | |
| 2016-05-03 13:59:34,596 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 13:59:36,531 Node[0] Epoch[13] Validation-accuracy=0.773938 | |
| 2016-05-03 13:59:46,916 Node[0] Epoch[14] Batch [50] Speed: 619.55 samples/sec Train-accuracy=0.822969 | |
| 2016-05-03 13:59:57,208 Node[0] Epoch[14] Batch [100] Speed: 621.87 samples/sec Train-accuracy=0.825313 | |
| 2016-05-03 14:00:07,488 Node[0] Epoch[14] Batch [150] Speed: 622.59 samples/sec Train-accuracy=0.819688 | |
| 2016-05-03 14:00:17,777 Node[0] Epoch[14] Batch [200] Speed: 622.00 samples/sec Train-accuracy=0.821875 | |
| 2016-05-03 14:00:28,034 Node[0] Epoch[14] Batch [250] Speed: 624.00 samples/sec Train-accuracy=0.823125 | |
| 2016-05-03 14:00:38,279 Node[0] Epoch[14] Batch [300] Speed: 624.71 samples/sec Train-accuracy=0.825937 | |
| 2016-05-03 14:00:48,539 Node[0] Epoch[14] Batch [350] Speed: 623.83 samples/sec Train-accuracy=0.825937 | |
| 2016-05-03 14:00:56,909 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 14:00:56,909 Node[0] Epoch[14] Time cost=80.378 | |
| 2016-05-03 14:00:57,068 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 14:00:59,052 Node[0] Epoch[14] Validation-accuracy=0.755609 | |
| 2016-05-03 14:01:09,406 Node[0] Epoch[15] Batch [50] Speed: 621.46 samples/sec Train-accuracy=0.828750 | |
| 2016-05-03 14:01:19,708 Node[0] Epoch[15] Batch [100] Speed: 621.25 samples/sec Train-accuracy=0.832187 | |
| 2016-05-03 14:01:29,996 Node[0] Epoch[15] Batch [150] Speed: 622.08 samples/sec Train-accuracy=0.836562 | |
| 2016-05-03 14:01:40,302 Node[0] Epoch[15] Batch [200] Speed: 621.01 samples/sec Train-accuracy=0.829531 | |
| 2016-05-03 14:01:50,529 Node[0] Epoch[15] Batch [250] Speed: 625.81 samples/sec Train-accuracy=0.824844 | |
| 2016-05-03 14:02:00,814 Node[0] Epoch[15] Batch [300] Speed: 622.32 samples/sec Train-accuracy=0.823750 | |
| 2016-05-03 14:02:11,072 Node[0] Epoch[15] Batch [350] Speed: 623.87 samples/sec Train-accuracy=0.825937 | |
| 2016-05-03 14:02:19,269 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 14:02:19,269 Node[0] Epoch[15] Time cost=80.217 | |
| 2016-05-03 14:02:19,427 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 14:02:21,376 Node[0] Epoch[15] Validation-accuracy=0.808193 | |
| 2016-05-03 14:02:31,682 Node[0] Epoch[16] Batch [50] Speed: 624.29 samples/sec Train-accuracy=0.832656 | |
| 2016-05-03 14:02:41,945 Node[0] Epoch[16] Batch [100] Speed: 623.59 samples/sec Train-accuracy=0.835156 | |
| 2016-05-03 14:02:52,221 Node[0] Epoch[16] Batch [150] Speed: 622.83 samples/sec Train-accuracy=0.842812 | |
| 2016-05-03 14:03:02,498 Node[0] Epoch[16] Batch [200] Speed: 622.79 samples/sec Train-accuracy=0.833906 | |
| 2016-05-03 14:03:12,766 Node[0] Epoch[16] Batch [250] Speed: 623.30 samples/sec Train-accuracy=0.832969 | |
| 2016-05-03 14:03:23,050 Node[0] Epoch[16] Batch [300] Speed: 622.32 samples/sec Train-accuracy=0.837344 | |
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| 2016-05-03 14:03:41,783 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 14:03:41,783 Node[0] Epoch[16] Time cost=80.407 | |
| 2016-05-03 14:03:41,945 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 14:03:44,026 Node[0] Epoch[16] Validation-accuracy=0.787777 | |
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| 2016-05-03 14:05:04,160 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 14:05:04,160 Node[0] Epoch[17] Time cost=80.134 | |
| 2016-05-03 14:05:04,323 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 14:05:06,278 Node[0] Epoch[17] Validation-accuracy=0.760917 | |
| 2016-05-03 14:05:16,607 Node[0] Epoch[18] Batch [50] Speed: 622.83 samples/sec Train-accuracy=0.838281 | |
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| 2016-05-03 14:06:26,472 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 14:06:26,472 Node[0] Epoch[18] Time cost=80.194 | |
| 2016-05-03 14:06:26,632 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 14:06:28,572 Node[0] Epoch[18] Validation-accuracy=0.808894 | |
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| 2016-05-03 14:07:48,854 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 14:07:48,854 Node[0] Epoch[19] Time cost=80.282 | |
| 2016-05-03 14:07:49,014 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 14:07:50,955 Node[0] Epoch[19] Validation-accuracy=0.805188 | |
| 2016-05-03 14:08:01,258 Node[0] Epoch[20] Batch [50] Speed: 624.41 samples/sec Train-accuracy=0.849219 | |
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| 2016-05-03 14:09:11,123 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 14:09:11,123 Node[0] Epoch[20] Time cost=80.168 | |
| 2016-05-03 14:09:11,280 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 14:09:13,224 Node[0] Epoch[20] Validation-accuracy=0.821715 | |
| 2016-05-03 14:09:23,595 Node[0] Epoch[21] Batch [50] Speed: 620.37 samples/sec Train-accuracy=0.851406 | |
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| 2016-05-03 14:10:33,411 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-03 14:10:33,411 Node[0] Epoch[21] Time cost=80.187 | |
| 2016-05-03 14:10:33,573 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-03 14:10:35,494 Node[0] Epoch[21] Validation-accuracy=0.800080 | |
| 2016-05-03 14:10:45,720 Node[0] Epoch[22] Batch [50] Speed: 629.09 samples/sec Train-accuracy=0.855781 | |
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| 2016-05-03 14:11:55,682 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-03 14:11:55,682 Node[0] Epoch[22] Time cost=80.188 | |
| 2016-05-03 14:11:55,840 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-03 14:11:57,764 Node[0] Epoch[22] Validation-accuracy=0.792067 | |
| 2016-05-03 14:12:08,020 Node[0] Epoch[23] Batch [50] Speed: 627.37 samples/sec Train-accuracy=0.860938 | |
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| 2016-05-03 14:13:09,498 Node[0] Epoch[23] Batch [350] Speed: 626.80 samples/sec Train-accuracy=0.867344 | |
| 2016-05-03 14:13:17,713 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-03 14:13:17,713 Node[0] Epoch[23] Time cost=79.948 | |
| 2016-05-03 14:13:17,873 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-03 14:13:19,826 Node[0] Epoch[23] Validation-accuracy=0.809495 | |
| 2016-05-03 14:13:30,224 Node[0] Epoch[24] Batch [50] Speed: 618.89 samples/sec Train-accuracy=0.862656 | |
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| 2016-05-03 14:14:40,144 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-03 14:14:40,144 Node[0] Epoch[24] Time cost=80.318 | |
| 2016-05-03 14:14:40,305 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-03 14:14:42,449 Node[0] Epoch[24] Validation-accuracy=0.814972 | |
| 2016-05-03 14:14:52,696 Node[0] Epoch[25] Batch [50] Speed: 627.85 samples/sec Train-accuracy=0.867656 | |
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| 2016-05-03 14:15:54,198 Node[0] Epoch[25] Batch [350] Speed: 624.82 samples/sec Train-accuracy=0.870469 | |
| 2016-05-03 14:16:02,649 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-03 14:16:02,649 Node[0] Epoch[25] Time cost=80.200 | |
| 2016-05-03 14:16:02,812 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-03 14:16:04,734 Node[0] Epoch[25] Validation-accuracy=0.825621 | |
| 2016-05-03 14:16:15,006 Node[0] Epoch[26] Batch [50] Speed: 626.33 samples/sec Train-accuracy=0.867656 | |
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| 2016-05-03 14:17:06,356 Node[0] Epoch[26] Batch [300] Speed: 623.27 samples/sec Train-accuracy=0.875156 | |
| 2016-05-03 14:17:16,592 Node[0] Epoch[26] Batch [350] Speed: 625.27 samples/sec Train-accuracy=0.874844 | |
| 2016-05-03 14:17:24,785 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-03 14:17:24,786 Node[0] Epoch[26] Time cost=80.051 | |
| 2016-05-03 14:17:24,945 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-03 14:17:26,874 Node[0] Epoch[26] Validation-accuracy=0.814804 | |
| 2016-05-03 14:17:37,135 Node[0] Epoch[27] Batch [50] Speed: 627.04 samples/sec Train-accuracy=0.867344 | |
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| 2016-05-03 14:18:38,681 Node[0] Epoch[27] Batch [350] Speed: 624.55 samples/sec Train-accuracy=0.879375 | |
| 2016-05-03 14:18:47,112 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-03 14:18:47,112 Node[0] Epoch[27] Time cost=80.238 | |
| 2016-05-03 14:18:47,272 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-03 14:18:49,186 Node[0] Epoch[27] Validation-accuracy=0.819111 | |
| 2016-05-03 14:18:59,487 Node[0] Epoch[28] Batch [50] Speed: 624.52 samples/sec Train-accuracy=0.870938 | |
| 2016-05-03 14:19:09,724 Node[0] Epoch[28] Batch [100] Speed: 625.20 samples/sec Train-accuracy=0.879687 | |
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| 2016-05-03 14:20:01,050 Node[0] Epoch[28] Batch [350] Speed: 623.29 samples/sec Train-accuracy=0.875156 | |
| 2016-05-03 14:20:09,482 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-03 14:20:09,483 Node[0] Epoch[28] Time cost=80.297 | |
| 2016-05-03 14:20:09,644 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-03 14:20:11,551 Node[0] Epoch[28] Validation-accuracy=0.813201 | |
| 2016-05-03 14:20:21,826 Node[0] Epoch[29] Batch [50] Speed: 626.11 samples/sec Train-accuracy=0.878750 | |
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| 2016-05-03 14:21:23,403 Node[0] Epoch[29] Batch [350] Speed: 623.10 samples/sec Train-accuracy=0.876875 | |
| 2016-05-03 14:21:31,587 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-03 14:21:31,587 Node[0] Epoch[29] Time cost=80.036 | |
| 2016-05-03 14:21:31,748 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-03 14:21:33,681 Node[0] Epoch[29] Validation-accuracy=0.808393 | |
| 2016-05-03 14:21:43,926 Node[0] Epoch[30] Batch [50] Speed: 628.03 samples/sec Train-accuracy=0.880781 | |
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| 2016-05-03 14:22:54,034 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-03 14:22:54,034 Node[0] Epoch[30] Time cost=80.353 | |
| 2016-05-03 14:22:54,194 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-03 14:22:56,152 Node[0] Epoch[30] Validation-accuracy=0.815405 | |
| 2016-05-03 14:23:06,462 Node[0] Epoch[31] Batch [50] Speed: 623.98 samples/sec Train-accuracy=0.881406 | |
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| 2016-05-03 14:24:08,075 Node[0] Epoch[31] Batch [350] Speed: 620.96 samples/sec Train-accuracy=0.884375 | |
| 2016-05-03 14:24:16,288 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-03 14:24:16,288 Node[0] Epoch[31] Time cost=80.136 | |
| 2016-05-03 14:24:16,453 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-03 14:24:18,325 Node[0] Epoch[31] Validation-accuracy=0.823317 | |
| 2016-05-03 14:24:28,584 Node[0] Epoch[32] Batch [50] Speed: 627.18 samples/sec Train-accuracy=0.882188 | |
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| 2016-05-03 14:25:38,511 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-03 14:25:38,511 Node[0] Epoch[32] Time cost=80.186 | |
| 2016-05-03 14:25:38,670 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-03 14:25:40,793 Node[0] Epoch[32] Validation-accuracy=0.815269 | |
| 2016-05-03 14:25:51,132 Node[0] Epoch[33] Batch [50] Speed: 622.22 samples/sec Train-accuracy=0.883750 | |
| 2016-05-03 14:26:01,382 Node[0] Epoch[33] Batch [100] Speed: 624.40 samples/sec Train-accuracy=0.886719 | |
| 2016-05-03 14:26:11,641 Node[0] Epoch[33] Batch [150] Speed: 623.90 samples/sec Train-accuracy=0.888125 | |
| 2016-05-03 14:26:21,879 Node[0] Epoch[33] Batch [200] Speed: 625.14 samples/sec Train-accuracy=0.883906 | |
| 2016-05-03 14:26:32,085 Node[0] Epoch[33] Batch [250] Speed: 627.06 samples/sec Train-accuracy=0.886563 | |
| 2016-05-03 14:26:42,328 Node[0] Epoch[33] Batch [300] Speed: 624.83 samples/sec Train-accuracy=0.885312 | |
| 2016-05-03 14:26:52,631 Node[0] Epoch[33] Batch [350] Speed: 621.22 samples/sec Train-accuracy=0.885000 | |
| 2016-05-03 14:27:01,056 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-03 14:27:01,056 Node[0] Epoch[33] Time cost=80.263 | |
| 2016-05-03 14:27:01,216 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-03 14:27:03,128 Node[0] Epoch[33] Validation-accuracy=0.828325 | |
| 2016-05-03 14:27:13,470 Node[0] Epoch[34] Batch [50] Speed: 622.11 samples/sec Train-accuracy=0.885625 | |
| 2016-05-03 14:27:23,712 Node[0] Epoch[34] Batch [100] Speed: 624.92 samples/sec Train-accuracy=0.892813 | |
| 2016-05-03 14:27:33,978 Node[0] Epoch[34] Batch [150] Speed: 623.43 samples/sec Train-accuracy=0.890625 | |
| 2016-05-03 14:27:44,241 Node[0] Epoch[34] Batch [200] Speed: 623.60 samples/sec Train-accuracy=0.886094 | |
| 2016-05-03 14:27:54,474 Node[0] Epoch[34] Batch [250] Speed: 625.47 samples/sec Train-accuracy=0.891094 | |
| 2016-05-03 14:28:04,781 Node[0] Epoch[34] Batch [300] Speed: 620.93 samples/sec Train-accuracy=0.892344 | |
| 2016-05-03 14:28:15,023 Node[0] Epoch[34] Batch [350] Speed: 624.92 samples/sec Train-accuracy=0.884375 | |
| 2016-05-03 14:28:23,243 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-03 14:28:23,243 Node[0] Epoch[34] Time cost=80.115 | |
| 2016-05-03 14:28:23,405 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-03 14:28:25,361 Node[0] Epoch[34] Validation-accuracy=0.824419 | |
| 2016-05-03 14:28:35,685 Node[0] Epoch[35] Batch [50] Speed: 623.14 samples/sec Train-accuracy=0.885938 | |
| 2016-05-03 14:28:45,950 Node[0] Epoch[35] Batch [100] Speed: 623.51 samples/sec Train-accuracy=0.887969 | |
| 2016-05-03 14:28:56,221 Node[0] Epoch[35] Batch [150] Speed: 623.14 samples/sec Train-accuracy=0.892031 | |
| 2016-05-03 14:29:06,477 Node[0] Epoch[35] Batch [200] Speed: 624.03 samples/sec Train-accuracy=0.887344 | |
| 2016-05-03 14:29:16,761 Node[0] Epoch[35] Batch [250] Speed: 622.35 samples/sec Train-accuracy=0.892344 | |
| 2016-05-03 14:29:27,038 Node[0] Epoch[35] Batch [300] Speed: 622.76 samples/sec Train-accuracy=0.886250 | |
| 2016-05-03 14:29:37,246 Node[0] Epoch[35] Batch [350] Speed: 626.96 samples/sec Train-accuracy=0.891719 | |
| 2016-05-03 14:29:45,663 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-03 14:29:45,663 Node[0] Epoch[35] Time cost=80.302 | |
| 2016-05-03 14:29:45,822 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-03 14:29:47,769 Node[0] Epoch[35] Validation-accuracy=0.824820 | |
| 2016-05-03 14:29:58,081 Node[0] Epoch[36] Batch [50] Speed: 623.99 samples/sec Train-accuracy=0.889687 | |
| 2016-05-03 14:30:08,355 Node[0] Epoch[36] Batch [100] Speed: 622.91 samples/sec Train-accuracy=0.898125 | |
| 2016-05-03 14:30:18,605 Node[0] Epoch[36] Batch [150] Speed: 624.42 samples/sec Train-accuracy=0.894844 | |
| 2016-05-03 14:30:28,864 Node[0] Epoch[36] Batch [200] Speed: 623.84 samples/sec Train-accuracy=0.888125 | |
| 2016-05-03 14:30:39,116 Node[0] Epoch[36] Batch [250] Speed: 624.32 samples/sec Train-accuracy=0.892500 | |
| 2016-05-03 14:30:49,365 Node[0] Epoch[36] Batch [300] Speed: 624.49 samples/sec Train-accuracy=0.890625 | |
| 2016-05-03 14:31:00,385 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 14:31:05,580 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 14:31:05,969 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 14:31:27,145 Node[0] Epoch[0] Batch [50] Speed: 649.49 samples/sec Train-accuracy=0.130781 | |
| 2016-05-03 14:31:37,191 Node[0] Epoch[0] Batch [100] Speed: 637.10 samples/sec Train-accuracy=0.214688 | |
| 2016-05-03 14:31:47,224 Node[0] Epoch[0] Batch [150] Speed: 637.90 samples/sec Train-accuracy=0.260469 | |
| 2016-05-03 14:31:57,503 Node[0] Epoch[0] Batch [200] Speed: 622.65 samples/sec Train-accuracy=0.291250 | |
| 2016-05-03 14:32:08,253 Node[0] Epoch[0] Batch [250] Speed: 595.39 samples/sec Train-accuracy=0.337656 | |
| 2016-05-03 14:32:19,136 Node[0] Epoch[0] Batch [300] Speed: 588.08 samples/sec Train-accuracy=0.360781 | |
| 2016-05-03 14:32:29,959 Node[0] Epoch[0] Batch [350] Speed: 591.35 samples/sec Train-accuracy=0.369063 | |
| 2016-05-03 14:32:38,781 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 14:32:38,782 Node[0] Epoch[0] Time cost=81.743 | |
| 2016-05-03 14:32:38,952 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 14:32:41,104 Node[0] Epoch[0] Validation-accuracy=0.417128 | |
| 2016-05-03 14:32:51,840 Node[0] Epoch[1] Batch [50] Speed: 599.24 samples/sec Train-accuracy=0.401875 | |
| 2016-05-03 14:33:02,614 Node[0] Epoch[1] Batch [100] Speed: 594.01 samples/sec Train-accuracy=0.433125 | |
| 2016-05-03 14:33:13,344 Node[0] Epoch[1] Batch [150] Speed: 596.49 samples/sec Train-accuracy=0.446094 | |
| 2016-05-03 14:33:24,047 Node[0] Epoch[1] Batch [200] Speed: 597.99 samples/sec Train-accuracy=0.447031 | |
| 2016-05-03 14:33:34,682 Node[0] Epoch[1] Batch [250] Speed: 601.79 samples/sec Train-accuracy=0.468594 | |
| 2016-05-03 14:33:45,235 Node[0] Epoch[1] Batch [300] Speed: 606.48 samples/sec Train-accuracy=0.475625 | |
| 2016-05-03 14:33:55,827 Node[0] Epoch[1] Batch [350] Speed: 604.25 samples/sec Train-accuracy=0.481563 | |
| 2016-05-03 14:34:04,492 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 14:34:04,492 Node[0] Epoch[1] Time cost=83.388 | |
| 2016-05-03 14:34:04,659 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 14:34:06,598 Node[0] Epoch[1] Validation-accuracy=0.494191 | |
| 2016-05-03 14:34:17,314 Node[0] Epoch[2] Batch [50] Speed: 600.44 samples/sec Train-accuracy=0.499219 | |
| 2016-05-03 14:34:27,888 Node[0] Epoch[2] Batch [100] Speed: 605.26 samples/sec Train-accuracy=0.520000 | |
| 2016-05-03 14:34:38,456 Node[0] Epoch[2] Batch [150] Speed: 605.63 samples/sec Train-accuracy=0.529375 | |
| 2016-05-03 14:34:49,017 Node[0] Epoch[2] Batch [200] Speed: 606.01 samples/sec Train-accuracy=0.532188 | |
| 2016-05-03 14:34:59,587 Node[0] Epoch[2] Batch [250] Speed: 605.52 samples/sec Train-accuracy=0.541875 | |
| 2016-05-03 14:35:10,163 Node[0] Epoch[2] Batch [300] Speed: 605.16 samples/sec Train-accuracy=0.542969 | |
| 2016-05-03 14:35:20,638 Node[0] Epoch[2] Batch [350] Speed: 610.95 samples/sec Train-accuracy=0.560312 | |
| 2016-05-03 14:35:29,015 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 14:35:29,015 Node[0] Epoch[2] Time cost=82.417 | |
| 2016-05-03 14:35:29,181 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 14:35:31,136 Node[0] Epoch[2] Validation-accuracy=0.553886 | |
| 2016-05-03 14:35:41,642 Node[0] Epoch[3] Batch [50] Speed: 612.45 samples/sec Train-accuracy=0.575937 | |
| 2016-05-03 14:35:52,083 Node[0] Epoch[3] Batch [100] Speed: 612.98 samples/sec Train-accuracy=0.583438 | |
| 2016-05-03 14:36:02,484 Node[0] Epoch[3] Batch [150] Speed: 615.34 samples/sec Train-accuracy=0.594688 | |
| 2016-05-03 14:36:12,929 Node[0] Epoch[3] Batch [200] Speed: 612.77 samples/sec Train-accuracy=0.596250 | |
| 2016-05-03 14:36:23,447 Node[0] Epoch[3] Batch [250] Speed: 608.49 samples/sec Train-accuracy=0.598750 | |
| 2016-05-03 14:36:33,951 Node[0] Epoch[3] Batch [300] Speed: 609.30 samples/sec Train-accuracy=0.606719 | |
| 2016-05-03 14:36:44,483 Node[0] Epoch[3] Batch [350] Speed: 607.69 samples/sec Train-accuracy=0.620313 | |
| 2016-05-03 14:36:53,004 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 14:36:53,004 Node[0] Epoch[3] Time cost=81.868 | |
| 2016-05-03 14:36:53,167 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 14:36:55,132 Node[0] Epoch[3] Validation-accuracy=0.606370 | |
| 2016-05-03 14:37:05,630 Node[0] Epoch[4] Batch [50] Speed: 612.92 samples/sec Train-accuracy=0.632969 | |
| 2016-05-03 14:37:16,034 Node[0] Epoch[4] Batch [100] Speed: 615.18 samples/sec Train-accuracy=0.645625 | |
| 2016-05-03 14:37:26,374 Node[0] Epoch[4] Batch [150] Speed: 618.96 samples/sec Train-accuracy=0.645312 | |
| 2016-05-03 14:37:36,783 Node[0] Epoch[4] Batch [200] Speed: 614.90 samples/sec Train-accuracy=0.647969 | |
| 2016-05-03 14:37:47,175 Node[0] Epoch[4] Batch [250] Speed: 615.87 samples/sec Train-accuracy=0.651250 | |
| 2016-05-03 14:37:57,570 Node[0] Epoch[4] Batch [300] Speed: 615.69 samples/sec Train-accuracy=0.661563 | |
| 2016-05-03 14:38:07,920 Node[0] Epoch[4] Batch [350] Speed: 618.36 samples/sec Train-accuracy=0.666250 | |
| 2016-05-03 14:38:16,405 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 14:38:16,405 Node[0] Epoch[4] Time cost=81.272 | |
| 2016-05-03 14:38:16,571 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 14:38:18,464 Node[0] Epoch[4] Validation-accuracy=0.638221 | |
| 2016-05-03 14:38:28,921 Node[0] Epoch[5] Batch [50] Speed: 615.25 samples/sec Train-accuracy=0.665156 | |
| 2016-05-03 14:38:39,310 Node[0] Epoch[5] Batch [100] Speed: 616.06 samples/sec Train-accuracy=0.687656 | |
| 2016-05-03 14:38:49,647 Node[0] Epoch[5] Batch [150] Speed: 619.15 samples/sec Train-accuracy=0.677188 | |
| 2016-05-03 14:38:59,950 Node[0] Epoch[5] Batch [200] Speed: 621.16 samples/sec Train-accuracy=0.681875 | |
| 2016-05-03 14:39:10,284 Node[0] Epoch[5] Batch [250] Speed: 619.32 samples/sec Train-accuracy=0.689375 | |
| 2016-05-03 14:39:20,671 Node[0] Epoch[5] Batch [300] Speed: 616.17 samples/sec Train-accuracy=0.686250 | |
| 2016-05-03 14:39:31,071 Node[0] Epoch[5] Batch [350] Speed: 615.44 samples/sec Train-accuracy=0.691094 | |
| 2016-05-03 14:39:39,364 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 14:39:39,364 Node[0] Epoch[5] Time cost=80.900 | |
| 2016-05-03 14:39:39,525 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 14:39:41,426 Node[0] Epoch[5] Validation-accuracy=0.660457 | |
| 2016-05-03 14:39:51,733 Node[0] Epoch[6] Batch [50] Speed: 624.21 samples/sec Train-accuracy=0.693281 | |
| 2016-05-03 14:40:02,022 Node[0] Epoch[6] Batch [100] Speed: 622.04 samples/sec Train-accuracy=0.708125 | |
| 2016-05-03 14:40:12,320 Node[0] Epoch[6] Batch [150] Speed: 621.48 samples/sec Train-accuracy=0.712969 | |
| 2016-05-03 14:40:22,613 Node[0] Epoch[6] Batch [200] Speed: 621.81 samples/sec Train-accuracy=0.704844 | |
| 2016-05-03 14:40:32,894 Node[0] Epoch[6] Batch [250] Speed: 622.51 samples/sec Train-accuracy=0.704688 | |
| 2016-05-03 14:40:43,216 Node[0] Epoch[6] Batch [300] Speed: 620.01 samples/sec Train-accuracy=0.712656 | |
| 2016-05-03 14:40:53,604 Node[0] Epoch[6] Batch [350] Speed: 616.16 samples/sec Train-accuracy=0.721250 | |
| 2016-05-03 14:41:02,098 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 14:41:02,098 Node[0] Epoch[6] Time cost=80.673 | |
| 2016-05-03 14:41:02,264 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 14:41:04,193 Node[0] Epoch[6] Validation-accuracy=0.674980 | |
| 2016-05-03 14:41:14,565 Node[0] Epoch[7] Batch [50] Speed: 620.23 samples/sec Train-accuracy=0.716719 | |
| 2016-05-03 14:41:24,902 Node[0] Epoch[7] Batch [100] Speed: 619.17 samples/sec Train-accuracy=0.721250 | |
| 2016-05-03 14:41:35,226 Node[0] Epoch[7] Batch [150] Speed: 619.95 samples/sec Train-accuracy=0.727656 | |
| 2016-05-03 14:41:45,557 Node[0] Epoch[7] Batch [200] Speed: 619.49 samples/sec Train-accuracy=0.725781 | |
| 2016-05-03 14:41:55,843 Node[0] Epoch[7] Batch [250] Speed: 622.26 samples/sec Train-accuracy=0.730625 | |
| 2016-05-03 14:42:06,129 Node[0] Epoch[7] Batch [300] Speed: 622.20 samples/sec Train-accuracy=0.733125 | |
| 2016-05-03 14:42:16,467 Node[0] Epoch[7] Batch [350] Speed: 619.07 samples/sec Train-accuracy=0.734688 | |
| 2016-05-03 14:42:24,701 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 14:42:24,701 Node[0] Epoch[7] Time cost=80.508 | |
| 2016-05-03 14:42:24,867 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 14:42:26,765 Node[0] Epoch[7] Validation-accuracy=0.664563 | |
| 2016-05-03 14:42:37,103 Node[0] Epoch[8] Batch [50] Speed: 622.30 samples/sec Train-accuracy=0.732500 | |
| 2016-05-03 14:42:47,358 Node[0] Epoch[8] Batch [100] Speed: 624.10 samples/sec Train-accuracy=0.742812 | |
| 2016-05-03 14:42:57,603 Node[0] Epoch[8] Batch [150] Speed: 624.69 samples/sec Train-accuracy=0.753125 | |
| 2016-05-03 14:43:07,847 Node[0] Epoch[8] Batch [200] Speed: 624.82 samples/sec Train-accuracy=0.745156 | |
| 2016-05-03 14:43:18,177 Node[0] Epoch[8] Batch [250] Speed: 619.55 samples/sec Train-accuracy=0.735469 | |
| 2016-05-03 14:43:28,503 Node[0] Epoch[8] Batch [300] Speed: 619.83 samples/sec Train-accuracy=0.746719 | |
| 2016-05-03 14:43:38,838 Node[0] Epoch[8] Batch [350] Speed: 619.27 samples/sec Train-accuracy=0.741406 | |
| 2016-05-03 14:43:47,278 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 14:43:47,279 Node[0] Epoch[8] Time cost=80.514 | |
| 2016-05-03 14:43:47,441 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 14:43:49,546 Node[0] Epoch[8] Validation-accuracy=0.622033 | |
| 2016-05-03 14:43:59,898 Node[0] Epoch[9] Batch [50] Speed: 621.56 samples/sec Train-accuracy=0.754531 | |
| 2016-05-03 14:44:10,187 Node[0] Epoch[9] Batch [100] Speed: 622.07 samples/sec Train-accuracy=0.758437 | |
| 2016-05-03 14:44:20,519 Node[0] Epoch[9] Batch [150] Speed: 619.43 samples/sec Train-accuracy=0.763281 | |
| 2016-05-03 14:44:30,800 Node[0] Epoch[9] Batch [200] Speed: 622.53 samples/sec Train-accuracy=0.758750 | |
| 2016-05-03 14:44:41,079 Node[0] Epoch[9] Batch [250] Speed: 622.62 samples/sec Train-accuracy=0.749844 | |
| 2016-05-03 14:44:51,330 Node[0] Epoch[9] Batch [300] Speed: 624.38 samples/sec Train-accuracy=0.757812 | |
| 2016-05-03 14:45:01,641 Node[0] Epoch[9] Batch [350] Speed: 620.71 samples/sec Train-accuracy=0.753437 | |
| 2016-05-03 14:45:10,098 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 14:45:10,098 Node[0] Epoch[9] Time cost=80.551 | |
| 2016-05-03 14:45:10,256 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 14:45:12,217 Node[0] Epoch[9] Validation-accuracy=0.676282 | |
| 2016-05-03 14:45:22,617 Node[0] Epoch[10] Batch [50] Speed: 618.61 samples/sec Train-accuracy=0.765469 | |
| 2016-05-03 14:45:32,973 Node[0] Epoch[10] Batch [100] Speed: 618.06 samples/sec Train-accuracy=0.771875 | |
| 2016-05-03 14:45:43,270 Node[0] Epoch[10] Batch [150] Speed: 621.53 samples/sec Train-accuracy=0.771719 | |
| 2016-05-03 14:45:53,570 Node[0] Epoch[10] Batch [200] Speed: 621.36 samples/sec Train-accuracy=0.761094 | |
| 2016-05-03 14:46:03,812 Node[0] Epoch[10] Batch [250] Speed: 624.94 samples/sec Train-accuracy=0.765156 | |
| 2016-05-03 14:46:14,086 Node[0] Epoch[10] Batch [300] Speed: 622.93 samples/sec Train-accuracy=0.770781 | |
| 2016-05-03 14:46:24,344 Node[0] Epoch[10] Batch [350] Speed: 623.93 samples/sec Train-accuracy=0.765156 | |
| 2016-05-03 14:46:32,588 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 14:46:32,588 Node[0] Epoch[10] Time cost=80.371 | |
| 2016-05-03 14:46:32,749 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 14:46:34,683 Node[0] Epoch[10] Validation-accuracy=0.657652 | |
| 2016-05-03 14:46:45,028 Node[0] Epoch[11] Batch [50] Speed: 621.89 samples/sec Train-accuracy=0.770469 | |
| 2016-05-03 14:46:55,315 Node[0] Epoch[11] Batch [100] Speed: 622.18 samples/sec Train-accuracy=0.779531 | |
| 2016-05-03 14:47:05,651 Node[0] Epoch[11] Batch [150] Speed: 619.19 samples/sec Train-accuracy=0.795156 | |
| 2016-05-03 14:47:15,868 Node[0] Epoch[11] Batch [200] Speed: 626.43 samples/sec Train-accuracy=0.778750 | |
| 2016-05-03 14:47:26,150 Node[0] Epoch[11] Batch [250] Speed: 622.47 samples/sec Train-accuracy=0.775937 | |
| 2016-05-03 14:47:36,425 Node[0] Epoch[11] Batch [300] Speed: 622.87 samples/sec Train-accuracy=0.789531 | |
| 2016-05-03 14:47:46,672 Node[0] Epoch[11] Batch [350] Speed: 624.58 samples/sec Train-accuracy=0.782656 | |
| 2016-05-03 14:47:55,059 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 14:47:55,060 Node[0] Epoch[11] Time cost=80.377 | |
| 2016-05-03 14:47:55,220 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 14:47:57,185 Node[0] Epoch[11] Validation-accuracy=0.630008 | |
| 2016-05-03 14:48:07,509 Node[0] Epoch[12] Batch [50] Speed: 623.22 samples/sec Train-accuracy=0.789219 | |
| 2016-05-03 14:48:17,793 Node[0] Epoch[12] Batch [100] Speed: 622.37 samples/sec Train-accuracy=0.797656 | |
| 2016-05-03 14:48:28,036 Node[0] Epoch[12] Batch [150] Speed: 624.79 samples/sec Train-accuracy=0.792656 | |
| 2016-05-03 14:48:38,307 Node[0] Epoch[12] Batch [200] Speed: 623.16 samples/sec Train-accuracy=0.777500 | |
| 2016-05-03 14:48:48,607 Node[0] Epoch[12] Batch [250] Speed: 621.35 samples/sec Train-accuracy=0.793438 | |
| 2016-05-03 14:48:58,860 Node[0] Epoch[12] Batch [300] Speed: 624.24 samples/sec Train-accuracy=0.792656 | |
| 2016-05-03 14:49:09,103 Node[0] Epoch[12] Batch [350] Speed: 624.82 samples/sec Train-accuracy=0.792813 | |
| 2016-05-03 14:49:17,577 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 14:49:17,577 Node[0] Epoch[12] Time cost=80.392 | |
| 2016-05-03 14:49:17,736 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 14:49:19,600 Node[0] Epoch[12] Validation-accuracy=0.675881 | |
| 2016-05-03 14:49:29,915 Node[0] Epoch[13] Batch [50] Speed: 623.79 samples/sec Train-accuracy=0.794531 | |
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| 2016-05-03 14:50:39,566 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 14:50:39,567 Node[0] Epoch[13] Time cost=79.967 | |
| 2016-05-03 14:50:39,732 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 14:50:41,680 Node[0] Epoch[13] Validation-accuracy=0.655449 | |
| 2016-05-03 14:50:51,991 Node[0] Epoch[14] Batch [50] Speed: 623.97 samples/sec Train-accuracy=0.796875 | |
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| 2016-05-03 14:52:01,885 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 14:52:01,885 Node[0] Epoch[14] Time cost=80.205 | |
| 2016-05-03 14:52:02,043 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 14:52:03,925 Node[0] Epoch[14] Validation-accuracy=0.683093 | |
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| 2016-05-03 14:53:24,046 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 14:53:24,046 Node[0] Epoch[15] Time cost=80.121 | |
| 2016-05-03 14:53:24,206 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 14:53:26,100 Node[0] Epoch[15] Validation-accuracy=0.644832 | |
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| 2016-05-03 14:54:46,351 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 14:54:46,351 Node[0] Epoch[16] Time cost=80.250 | |
| 2016-05-03 14:54:46,513 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 14:54:48,652 Node[0] Epoch[16] Validation-accuracy=0.643888 | |
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| 2016-05-03 14:56:09,030 Node[0] Epoch[17] Time cost=80.379 | |
| 2016-05-03 14:56:09,189 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 14:56:11,096 Node[0] Epoch[17] Validation-accuracy=0.629908 | |
| 2016-05-03 14:56:21,349 Node[0] Epoch[18] Batch [50] Speed: 627.46 samples/sec Train-accuracy=0.832656 | |
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| 2016-05-03 14:57:31,260 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 14:57:31,260 Node[0] Epoch[18] Time cost=80.164 | |
| 2016-05-03 14:57:31,424 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 14:57:33,365 Node[0] Epoch[18] Validation-accuracy=0.594852 | |
| 2016-05-03 14:57:43,692 Node[0] Epoch[19] Batch [50] Speed: 623.12 samples/sec Train-accuracy=0.836406 | |
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| 2016-05-03 14:58:53,779 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 14:58:53,779 Node[0] Epoch[19] Time cost=80.414 | |
| 2016-05-03 14:58:53,941 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 14:58:55,849 Node[0] Epoch[19] Validation-accuracy=0.581330 | |
| 2016-05-03 14:59:06,173 Node[0] Epoch[20] Batch [50] Speed: 623.17 samples/sec Train-accuracy=0.846875 | |
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| 2016-05-03 15:00:07,841 Node[0] Epoch[20] Batch [350] Speed: 621.77 samples/sec Train-accuracy=0.847656 | |
| 2016-05-03 15:00:16,283 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 15:00:16,283 Node[0] Epoch[20] Time cost=80.434 | |
| 2016-05-03 15:00:16,444 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 15:00:18,349 Node[0] Epoch[20] Validation-accuracy=0.560497 | |
| 2016-05-03 15:00:28,530 Node[0] Epoch[21] Batch [50] Speed: 632.02 samples/sec Train-accuracy=0.844375 | |
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| 2016-05-03 15:01:19,924 Node[0] Epoch[21] Batch [300] Speed: 619.31 samples/sec Train-accuracy=0.852187 | |
| 2016-05-03 15:01:30,198 Node[0] Epoch[21] Batch [350] Speed: 622.92 samples/sec Train-accuracy=0.846562 | |
| 2016-05-03 15:01:38,416 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-03 15:01:38,416 Node[0] Epoch[21] Time cost=80.067 | |
| 2016-05-03 15:01:38,578 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-03 15:01:40,500 Node[0] Epoch[21] Validation-accuracy=0.594351 | |
| 2016-05-03 15:01:50,743 Node[0] Epoch[22] Batch [50] Speed: 628.08 samples/sec Train-accuracy=0.848750 | |
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| 2016-05-03 15:02:52,382 Node[0] Epoch[22] Batch [350] Speed: 623.59 samples/sec Train-accuracy=0.851719 | |
| 2016-05-03 15:03:00,827 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-03 15:03:00,827 Node[0] Epoch[22] Time cost=80.327 | |
| 2016-05-03 15:03:00,991 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-03 15:03:02,889 Node[0] Epoch[22] Validation-accuracy=0.527744 | |
| 2016-05-03 15:03:13,164 Node[0] Epoch[23] Batch [50] Speed: 626.20 samples/sec Train-accuracy=0.853750 | |
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| 2016-05-03 15:04:14,871 Node[0] Epoch[23] Batch [350] Speed: 617.69 samples/sec Train-accuracy=0.858281 | |
| 2016-05-03 15:04:23,114 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-03 15:04:23,114 Node[0] Epoch[23] Time cost=80.225 | |
| 2016-05-03 15:04:23,279 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-03 15:04:25,171 Node[0] Epoch[23] Validation-accuracy=0.591546 | |
| 2016-05-03 15:04:35,367 Node[0] Epoch[24] Batch [50] Speed: 631.08 samples/sec Train-accuracy=0.850156 | |
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| 2016-05-03 15:05:37,086 Node[0] Epoch[24] Batch [350] Speed: 624.17 samples/sec Train-accuracy=0.856094 | |
| 2016-05-03 15:05:45,508 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-03 15:05:45,508 Node[0] Epoch[24] Time cost=80.337 | |
| 2016-05-03 15:05:45,677 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-03 15:05:47,779 Node[0] Epoch[24] Validation-accuracy=0.513054 | |
| 2016-05-03 15:05:58,025 Node[0] Epoch[25] Batch [50] Speed: 627.97 samples/sec Train-accuracy=0.869844 | |
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| 2016-05-03 15:07:07,889 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-03 15:07:07,889 Node[0] Epoch[25] Time cost=80.110 | |
| 2016-05-03 15:07:08,049 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-03 15:07:09,954 Node[0] Epoch[25] Validation-accuracy=0.572917 | |
| 2016-05-03 15:07:20,162 Node[0] Epoch[26] Batch [50] Speed: 630.35 samples/sec Train-accuracy=0.864375 | |
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| 2016-05-03 15:08:29,880 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-03 15:08:29,880 Node[0] Epoch[26] Time cost=79.926 | |
| 2016-05-03 15:08:30,040 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-03 15:08:31,988 Node[0] Epoch[26] Validation-accuracy=0.442408 | |
| 2016-05-03 15:08:42,291 Node[0] Epoch[27] Batch [50] Speed: 624.49 samples/sec Train-accuracy=0.864531 | |
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| 2016-05-03 15:09:52,342 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-03 15:09:52,343 Node[0] Epoch[27] Time cost=80.355 | |
| 2016-05-03 15:09:52,500 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-03 15:09:54,418 Node[0] Epoch[27] Validation-accuracy=0.450721 | |
| 2016-05-03 15:10:04,781 Node[0] Epoch[28] Batch [50] Speed: 620.85 samples/sec Train-accuracy=0.874062 | |
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| 2016-05-03 15:11:14,761 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-03 15:11:14,762 Node[0] Epoch[28] Time cost=80.344 | |
| 2016-05-03 15:11:14,922 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-03 15:11:16,805 Node[0] Epoch[28] Validation-accuracy=0.466546 | |
| 2016-05-03 15:11:27,091 Node[0] Epoch[29] Batch [50] Speed: 625.50 samples/sec Train-accuracy=0.878750 | |
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| 2016-05-03 15:12:18,414 Node[0] Epoch[29] Batch [300] Speed: 624.18 samples/sec Train-accuracy=0.874219 | |
| 2016-05-03 15:12:28,681 Node[0] Epoch[29] Batch [350] Speed: 623.35 samples/sec Train-accuracy=0.870313 | |
| 2016-05-03 15:12:36,873 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-03 15:12:36,873 Node[0] Epoch[29] Time cost=80.068 | |
| 2016-05-03 15:12:37,032 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-03 15:12:38,915 Node[0] Epoch[29] Validation-accuracy=0.460337 | |
| 2016-05-03 15:12:49,305 Node[0] Epoch[30] Batch [50] Speed: 619.28 samples/sec Train-accuracy=0.866250 | |
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| 2016-05-03 15:13:59,356 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-03 15:13:59,356 Node[0] Epoch[30] Time cost=80.441 | |
| 2016-05-03 15:13:59,518 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-03 15:14:01,466 Node[0] Epoch[30] Validation-accuracy=0.398337 | |
| 2016-05-03 15:14:11,666 Node[0] Epoch[31] Batch [50] Speed: 630.88 samples/sec Train-accuracy=0.874844 | |
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| 2016-05-03 15:15:03,050 Node[0] Epoch[31] Batch [300] Speed: 624.35 samples/sec Train-accuracy=0.877500 | |
| 2016-05-03 15:15:13,311 Node[0] Epoch[31] Batch [350] Speed: 623.77 samples/sec Train-accuracy=0.872500 | |
| 2016-05-03 15:15:21,503 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-03 15:15:21,503 Node[0] Epoch[31] Time cost=80.037 | |
| 2016-05-03 15:15:21,662 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-03 15:15:23,590 Node[0] Epoch[31] Validation-accuracy=0.406951 | |
| 2016-05-03 15:15:33,916 Node[0] Epoch[32] Batch [50] Speed: 623.08 samples/sec Train-accuracy=0.881250 | |
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| 2016-05-03 15:16:35,470 Node[0] Epoch[32] Batch [350] Speed: 622.29 samples/sec Train-accuracy=0.879062 | |
| 2016-05-03 15:16:43,846 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-03 15:16:43,846 Node[0] Epoch[32] Time cost=80.256 | |
| 2016-05-03 15:16:44,011 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-03 15:16:46,121 Node[0] Epoch[32] Validation-accuracy=0.383307 | |
| 2016-05-03 15:16:56,439 Node[0] Epoch[33] Batch [50] Speed: 623.60 samples/sec Train-accuracy=0.876563 | |
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| 2016-05-03 15:17:57,964 Node[0] Epoch[33] Batch [350] Speed: 623.45 samples/sec Train-accuracy=0.882656 | |
| 2016-05-03 15:18:06,350 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-03 15:18:06,350 Node[0] Epoch[33] Time cost=80.229 | |
| 2016-05-03 15:18:06,510 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-03 15:18:08,408 Node[0] Epoch[33] Validation-accuracy=0.376502 | |
| 2016-05-03 15:18:18,717 Node[0] Epoch[34] Batch [50] Speed: 624.05 samples/sec Train-accuracy=0.882812 | |
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| 2016-05-03 15:19:28,403 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-03 15:19:28,404 Node[0] Epoch[34] Time cost=79.996 | |
| 2016-05-03 15:19:28,563 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-03 15:19:30,489 Node[0] Epoch[34] Validation-accuracy=0.321514 | |
| 2016-05-03 15:19:40,736 Node[0] Epoch[35] Batch [50] Speed: 627.90 samples/sec Train-accuracy=0.885156 | |
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| 2016-05-03 15:20:42,131 Node[0] Epoch[35] Batch [350] Speed: 623.69 samples/sec Train-accuracy=0.892500 | |
| 2016-05-03 15:20:50,497 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-03 15:20:50,497 Node[0] Epoch[35] Time cost=80.008 | |
| 2016-05-03 15:20:50,656 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-03 15:20:52,569 Node[0] Epoch[35] Validation-accuracy=0.245292 | |
| 2016-05-03 15:21:02,814 Node[0] Epoch[36] Batch [50] Speed: 628.00 samples/sec Train-accuracy=0.886719 | |
| 2016-05-03 15:21:13,012 Node[0] Epoch[36] Batch [100] Speed: 627.54 samples/sec Train-accuracy=0.887344 | |
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| 2016-05-03 15:22:03,991 Node[0] Epoch[36] Batch [350] Speed: 627.12 samples/sec Train-accuracy=0.893594 | |
| 2016-05-03 15:22:12,366 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-03 15:22:12,366 Node[0] Epoch[36] Time cost=79.797 | |
| 2016-05-03 15:22:12,526 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-03 15:22:14,401 Node[0] Epoch[36] Validation-accuracy=0.341947 | |
| 2016-05-03 15:22:24,592 Node[0] Epoch[37] Batch [50] Speed: 631.39 samples/sec Train-accuracy=0.890156 | |
| 2016-05-03 15:22:34,762 Node[0] Epoch[37] Batch [100] Speed: 629.30 samples/sec Train-accuracy=0.891875 | |
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| 2016-05-03 15:23:05,470 Node[0] Epoch[37] Batch [250] Speed: 624.60 samples/sec Train-accuracy=0.888594 | |
| 2016-05-03 15:23:15,692 Node[0] Epoch[37] Batch [300] Speed: 626.11 samples/sec Train-accuracy=0.891406 | |
| 2016-05-03 15:23:25,916 Node[0] Epoch[37] Batch [350] Speed: 625.99 samples/sec Train-accuracy=0.893281 | |
| 2016-05-03 15:23:34,065 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-03 15:23:34,065 Node[0] Epoch[37] Time cost=79.663 | |
| 2016-05-03 15:23:34,228 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-03 15:23:36,149 Node[0] Epoch[37] Validation-accuracy=0.309395 | |
| 2016-05-03 15:23:46,376 Node[0] Epoch[38] Batch [50] Speed: 629.10 samples/sec Train-accuracy=0.895625 | |
| 2016-05-03 15:23:56,700 Node[0] Epoch[38] Batch [100] Speed: 619.96 samples/sec Train-accuracy=0.898125 | |
| 2016-05-03 15:24:06,955 Node[0] Epoch[38] Batch [150] Speed: 624.10 samples/sec Train-accuracy=0.899531 | |
| 2016-05-03 15:24:17,208 Node[0] Epoch[38] Batch [200] Speed: 624.20 samples/sec Train-accuracy=0.894219 | |
| 2016-05-03 15:24:27,492 Node[0] Epoch[38] Batch [250] Speed: 622.34 samples/sec Train-accuracy=0.890938 | |
| 2016-05-03 15:24:37,752 Node[0] Epoch[38] Batch [300] Speed: 623.82 samples/sec Train-accuracy=0.893437 | |
| 2016-05-03 15:24:47,992 Node[0] Epoch[38] Batch [350] Speed: 625.04 samples/sec Train-accuracy=0.891250 | |
| 2016-05-03 15:24:56,412 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-03 15:24:56,413 Node[0] Epoch[38] Time cost=80.264 | |
| 2016-05-03 15:24:56,570 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-03 15:24:58,497 Node[0] Epoch[38] Validation-accuracy=0.300381 | |
| 2016-05-03 15:25:08,741 Node[0] Epoch[39] Batch [50] Speed: 628.05 samples/sec Train-accuracy=0.896406 | |
| 2016-05-03 15:25:19,043 Node[0] Epoch[39] Batch [100] Speed: 621.22 samples/sec Train-accuracy=0.900469 | |
| 2016-05-03 15:25:29,274 Node[0] Epoch[39] Batch [150] Speed: 625.57 samples/sec Train-accuracy=0.898281 | |
| 2016-05-03 15:25:39,520 Node[0] Epoch[39] Batch [200] Speed: 624.67 samples/sec Train-accuracy=0.891406 | |
| 2016-05-03 15:25:49,739 Node[0] Epoch[39] Batch [250] Speed: 626.32 samples/sec Train-accuracy=0.890156 | |
| 2016-05-03 15:26:00,001 Node[0] Epoch[39] Batch [300] Speed: 623.66 samples/sec Train-accuracy=0.899687 | |
| 2016-05-03 15:26:10,275 Node[0] Epoch[39] Batch [350] Speed: 622.92 samples/sec Train-accuracy=0.892656 | |
| 2016-05-03 15:26:18,471 Node[0] Epoch[39] Resetting Data Iterator | |
| 2016-05-03 15:26:18,471 Node[0] Epoch[39] Time cost=79.974 | |
| 2016-05-03 15:26:18,627 Node[0] Saved checkpoint to "cifar10/resnet-0040.params" | |
| 2016-05-03 15:26:20,523 Node[0] Epoch[39] Validation-accuracy=0.319411 | |
| 2016-05-03 15:26:30,849 Node[0] Epoch[40] Batch [50] Speed: 623.18 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 15:26:41,155 Node[0] Epoch[40] Batch [100] Speed: 621.01 samples/sec Train-accuracy=0.890156 | |
| 2016-05-03 15:26:51,431 Node[0] Epoch[40] Batch [150] Speed: 622.84 samples/sec Train-accuracy=0.901406 | |
| 2016-05-03 15:27:01,658 Node[0] Epoch[40] Batch [200] Speed: 625.76 samples/sec Train-accuracy=0.896250 | |
| 2016-05-03 15:27:11,888 Node[0] Epoch[40] Batch [250] Speed: 625.67 samples/sec Train-accuracy=0.900156 | |
| 2016-05-03 15:27:22,143 Node[0] Epoch[40] Batch [300] Speed: 624.06 samples/sec Train-accuracy=0.899531 | |
| 2016-05-03 15:27:32,422 Node[0] Epoch[40] Batch [350] Speed: 622.66 samples/sec Train-accuracy=0.899687 | |
| 2016-05-03 15:27:40,859 Node[0] Epoch[40] Resetting Data Iterator | |
| 2016-05-03 15:27:40,860 Node[0] Epoch[40] Time cost=80.337 | |
| 2016-05-03 15:27:41,020 Node[0] Saved checkpoint to "cifar10/resnet-0041.params" | |
| 2016-05-03 15:27:43,152 Node[0] Epoch[40] Validation-accuracy=0.257417 | |
| 2016-05-03 15:27:53,423 Node[0] Epoch[41] Batch [50] Speed: 626.50 samples/sec Train-accuracy=0.897969 | |
| 2016-05-03 15:28:03,666 Node[0] Epoch[41] Batch [100] Speed: 624.82 samples/sec Train-accuracy=0.897813 | |
| 2016-05-03 15:28:13,854 Node[0] Epoch[41] Batch [150] Speed: 628.23 samples/sec Train-accuracy=0.906875 | |
| 2016-05-03 15:28:24,115 Node[0] Epoch[41] Batch [200] Speed: 623.70 samples/sec Train-accuracy=0.897969 | |
| 2016-05-03 15:28:34,367 Node[0] Epoch[41] Batch [250] Speed: 624.30 samples/sec Train-accuracy=0.891406 | |
| 2016-05-03 15:28:44,652 Node[0] Epoch[41] Batch [300] Speed: 622.26 samples/sec Train-accuracy=0.895938 | |
| 2016-05-03 15:28:54,903 Node[0] Epoch[41] Batch [350] Speed: 624.34 samples/sec Train-accuracy=0.889219 | |
| 2016-05-03 15:29:03,332 Node[0] Epoch[41] Resetting Data Iterator | |
| 2016-05-03 15:29:03,332 Node[0] Epoch[41] Time cost=80.179 | |
| 2016-05-03 15:29:03,492 Node[0] Saved checkpoint to "cifar10/resnet-0042.params" | |
| 2016-05-03 15:29:05,366 Node[0] Epoch[41] Validation-accuracy=0.175280 | |
| 2016-05-03 15:29:15,598 Node[0] Epoch[42] Batch [50] Speed: 628.74 samples/sec Train-accuracy=0.903906 | |
| 2016-05-03 15:29:25,873 Node[0] Epoch[42] Batch [100] Speed: 622.87 samples/sec Train-accuracy=0.899219 | |
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| 2016-05-03 15:29:46,343 Node[0] Epoch[42] Batch [200] Speed: 624.88 samples/sec Train-accuracy=0.898750 | |
| 2016-05-03 15:29:56,600 Node[0] Epoch[42] Batch [250] Speed: 623.98 samples/sec Train-accuracy=0.899219 | |
| 2016-05-03 15:30:06,835 Node[0] Epoch[42] Batch [300] Speed: 625.34 samples/sec Train-accuracy=0.902344 | |
| 2016-05-03 15:30:17,093 Node[0] Epoch[42] Batch [350] Speed: 623.92 samples/sec Train-accuracy=0.893125 | |
| 2016-05-03 15:30:25,258 Node[0] Epoch[42] Resetting Data Iterator | |
| 2016-05-03 15:30:25,259 Node[0] Epoch[42] Time cost=79.893 | |
| 2016-05-03 15:30:25,419 Node[0] Saved checkpoint to "cifar10/resnet-0043.params" | |
| 2016-05-03 15:30:27,334 Node[0] Epoch[42] Validation-accuracy=0.211839 | |
| 2016-05-03 15:30:37,645 Node[0] Epoch[43] Batch [50] Speed: 624.03 samples/sec Train-accuracy=0.890312 | |
| 2016-05-03 15:30:47,948 Node[0] Epoch[43] Batch [100] Speed: 621.20 samples/sec Train-accuracy=0.901094 | |
| 2016-05-03 15:30:58,204 Node[0] Epoch[43] Batch [150] Speed: 624.06 samples/sec Train-accuracy=0.898594 | |
| 2016-05-03 15:31:08,520 Node[0] Epoch[43] Batch [200] Speed: 620.40 samples/sec Train-accuracy=0.903438 | |
| 2016-05-03 15:31:18,780 Node[0] Epoch[43] Batch [250] Speed: 623.77 samples/sec Train-accuracy=0.895781 | |
| 2016-05-03 15:31:29,043 Node[0] Epoch[43] Batch [300] Speed: 623.63 samples/sec Train-accuracy=0.901563 | |
| 2016-05-03 15:31:39,317 Node[0] Epoch[43] Batch [350] Speed: 622.93 samples/sec Train-accuracy=0.896875 | |
| 2016-05-03 15:31:47,683 Node[0] Epoch[43] Resetting Data Iterator | |
| 2016-05-03 15:31:47,683 Node[0] Epoch[43] Time cost=80.349 | |
| 2016-05-03 15:31:47,845 Node[0] Saved checkpoint to "cifar10/resnet-0044.params" | |
| 2016-05-03 15:31:49,795 Node[0] Epoch[43] Validation-accuracy=0.275341 | |
| 2016-05-03 15:32:00,030 Node[0] Epoch[44] Batch [50] Speed: 628.61 samples/sec Train-accuracy=0.895312 | |
| 2016-05-03 15:32:10,322 Node[0] Epoch[44] Batch [100] Speed: 621.89 samples/sec Train-accuracy=0.899687 | |
| 2016-05-03 15:32:20,482 Node[0] Epoch[44] Batch [150] Speed: 629.92 samples/sec Train-accuracy=0.905937 | |
| 2016-05-03 15:32:30,741 Node[0] Epoch[44] Batch [200] Speed: 623.86 samples/sec Train-accuracy=0.898125 | |
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| 2016-05-03 15:32:51,233 Node[0] Epoch[44] Batch [300] Speed: 625.83 samples/sec Train-accuracy=0.903750 | |
| 2016-05-03 15:33:01,537 Node[0] Epoch[44] Batch [350] Speed: 621.10 samples/sec Train-accuracy=0.900156 | |
| 2016-05-03 15:33:09,967 Node[0] Epoch[44] Resetting Data Iterator | |
| 2016-05-03 15:33:09,967 Node[0] Epoch[44] Time cost=80.172 | |
| 2016-05-03 15:33:10,131 Node[0] Saved checkpoint to "cifar10/resnet-0045.params" | |
| 2016-05-03 15:33:12,048 Node[0] Epoch[44] Validation-accuracy=0.237380 | |
| 2016-05-03 15:33:22,273 Node[0] Epoch[45] Batch [50] Speed: 629.18 samples/sec Train-accuracy=0.904844 | |
| 2016-05-03 15:33:32,486 Node[0] Epoch[45] Batch [100] Speed: 626.71 samples/sec Train-accuracy=0.899687 | |
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| 2016-05-03 15:34:03,222 Node[0] Epoch[45] Batch [250] Speed: 622.26 samples/sec Train-accuracy=0.904844 | |
| 2016-05-03 15:34:13,446 Node[0] Epoch[45] Batch [300] Speed: 626.01 samples/sec Train-accuracy=0.903438 | |
| 2016-05-03 15:34:23,652 Node[0] Epoch[45] Batch [350] Speed: 627.11 samples/sec Train-accuracy=0.896719 | |
| 2016-05-03 15:34:31,811 Node[0] Epoch[45] Resetting Data Iterator | |
| 2016-05-03 15:34:31,811 Node[0] Epoch[45] Time cost=79.763 | |
| 2016-05-03 15:34:31,970 Node[0] Saved checkpoint to "cifar10/resnet-0046.params" | |
| 2016-05-03 15:34:33,898 Node[0] Epoch[45] Validation-accuracy=0.199519 | |
| 2016-05-03 15:34:44,217 Node[0] Epoch[46] Batch [50] Speed: 623.48 samples/sec Train-accuracy=0.904844 | |
| 2016-05-03 15:34:54,491 Node[0] Epoch[46] Batch [100] Speed: 622.97 samples/sec Train-accuracy=0.900937 | |
| 2016-05-03 15:35:04,780 Node[0] Epoch[46] Batch [150] Speed: 621.99 samples/sec Train-accuracy=0.909844 | |
| 2016-05-03 15:35:15,010 Node[0] Epoch[46] Batch [200] Speed: 625.65 samples/sec Train-accuracy=0.905781 | |
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| 2016-05-03 15:35:35,538 Node[0] Epoch[46] Batch [300] Speed: 624.14 samples/sec Train-accuracy=0.901875 | |
| 2016-05-03 15:35:45,765 Node[0] Epoch[46] Batch [350] Speed: 625.78 samples/sec Train-accuracy=0.897500 | |
| 2016-05-03 15:35:54,163 Node[0] Epoch[46] Resetting Data Iterator | |
| 2016-05-03 15:35:54,164 Node[0] Epoch[46] Time cost=80.266 | |
| 2016-05-03 15:35:54,325 Node[0] Saved checkpoint to "cifar10/resnet-0047.params" | |
| 2016-05-03 15:35:56,272 Node[0] Epoch[46] Validation-accuracy=0.168069 | |
| 2016-05-03 15:36:06,537 Node[0] Epoch[47] Batch [50] Speed: 626.77 samples/sec Train-accuracy=0.901875 | |
| 2016-05-03 15:36:16,859 Node[0] Epoch[47] Batch [100] Speed: 620.04 samples/sec Train-accuracy=0.906250 | |
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| 2016-05-03 15:37:08,202 Node[0] Epoch[47] Batch [350] Speed: 623.98 samples/sec Train-accuracy=0.901563 | |
| 2016-05-03 15:37:16,403 Node[0] Epoch[47] Resetting Data Iterator | |
| 2016-05-03 15:37:16,403 Node[0] Epoch[47] Time cost=80.131 | |
| 2016-05-03 15:37:16,566 Node[0] Saved checkpoint to "cifar10/resnet-0048.params" | |
| 2016-05-03 15:37:18,441 Node[0] Epoch[47] Validation-accuracy=0.172576 | |
| 2016-05-03 15:37:28,642 Node[0] Epoch[48] Batch [50] Speed: 630.70 samples/sec Train-accuracy=0.904687 | |
| 2016-05-03 15:37:38,893 Node[0] Epoch[48] Batch [100] Speed: 624.36 samples/sec Train-accuracy=0.900781 | |
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| 2016-05-03 15:38:19,921 Node[0] Epoch[48] Batch [300] Speed: 625.50 samples/sec Train-accuracy=0.910625 | |
| 2016-05-03 15:38:30,182 Node[0] Epoch[48] Batch [350] Speed: 623.71 samples/sec Train-accuracy=0.902813 | |
| 2016-05-03 15:38:38,635 Node[0] Epoch[48] Resetting Data Iterator | |
| 2016-05-03 15:38:38,635 Node[0] Epoch[48] Time cost=80.194 | |
| 2016-05-03 15:38:38,796 Node[0] Saved checkpoint to "cifar10/resnet-0049.params" | |
| 2016-05-03 15:38:40,978 Node[0] Epoch[48] Validation-accuracy=0.187599 | |
| 2016-05-03 15:38:51,221 Node[0] Epoch[49] Batch [50] Speed: 628.07 samples/sec Train-accuracy=0.900312 | |
| 2016-05-03 15:39:01,475 Node[0] Epoch[49] Batch [100] Speed: 624.15 samples/sec Train-accuracy=0.905937 | |
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| 2016-05-03 15:39:42,541 Node[0] Epoch[49] Batch [300] Speed: 624.53 samples/sec Train-accuracy=0.905781 | |
| 2016-05-03 15:39:52,842 Node[0] Epoch[49] Batch [350] Speed: 621.35 samples/sec Train-accuracy=0.905469 | |
| 2016-05-03 15:40:01,226 Node[0] Epoch[49] Resetting Data Iterator | |
| 2016-05-03 15:40:01,226 Node[0] Epoch[49] Time cost=80.247 | |
| 2016-05-03 15:40:01,385 Node[0] Saved checkpoint to "cifar10/resnet-0050.params" | |
| 2016-05-03 15:40:03,312 Node[0] Epoch[49] Validation-accuracy=0.175881 | |
| 2016-05-03 15:40:13,658 Node[0] Epoch[50] Batch [50] Speed: 621.88 samples/sec Train-accuracy=0.905156 | |
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| 2016-05-03 15:41:04,905 Node[0] Epoch[50] Batch [300] Speed: 622.41 samples/sec Train-accuracy=0.902188 | |
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| 2016-05-03 15:41:23,401 Node[0] Epoch[50] Resetting Data Iterator | |
| 2016-05-03 15:41:23,401 Node[0] Epoch[50] Time cost=80.089 | |
| 2016-05-03 15:41:23,561 Node[0] Saved checkpoint to "cifar10/resnet-0051.params" | |
| 2016-05-03 15:41:25,456 Node[0] Epoch[50] Validation-accuracy=0.138421 | |
| 2016-05-03 15:41:35,610 Node[0] Epoch[51] Batch [50] Speed: 633.62 samples/sec Train-accuracy=0.908906 | |
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| 2016-05-03 15:42:26,676 Node[0] Epoch[51] Batch [300] Speed: 627.14 samples/sec Train-accuracy=0.905781 | |
| 2016-05-03 15:42:36,857 Node[0] Epoch[51] Batch [350] Speed: 628.65 samples/sec Train-accuracy=0.904062 | |
| 2016-05-03 15:42:45,206 Node[0] Epoch[51] Resetting Data Iterator | |
| 2016-05-03 15:42:45,206 Node[0] Epoch[51] Time cost=79.750 | |
| 2016-05-03 15:42:45,365 Node[0] Saved checkpoint to "cifar10/resnet-0052.params" | |
| 2016-05-03 15:42:47,285 Node[0] Epoch[51] Validation-accuracy=0.213442 | |
| 2016-05-03 15:42:57,479 Node[0] Epoch[52] Batch [50] Speed: 631.12 samples/sec Train-accuracy=0.906094 | |
| 2016-05-03 15:43:07,744 Node[0] Epoch[52] Batch [100] Speed: 623.51 samples/sec Train-accuracy=0.910000 | |
| 2016-05-03 15:43:17,994 Node[0] Epoch[52] Batch [150] Speed: 624.42 samples/sec Train-accuracy=0.913125 | |
| 2016-05-03 15:43:28,316 Node[0] Epoch[52] Batch [200] Speed: 620.01 samples/sec Train-accuracy=0.903438 | |
| 2016-05-03 15:43:38,559 Node[0] Epoch[52] Batch [250] Speed: 624.85 samples/sec Train-accuracy=0.908906 | |
| 2016-05-03 15:43:48,811 Node[0] Epoch[52] Batch [300] Speed: 624.28 samples/sec Train-accuracy=0.907344 | |
| 2016-05-03 15:43:59,057 Node[0] Epoch[52] Batch [350] Speed: 624.68 samples/sec Train-accuracy=0.903594 | |
| 2016-05-03 15:44:07,438 Node[0] Epoch[52] Resetting Data Iterator | |
| 2016-05-03 15:44:07,438 Node[0] Epoch[52] Time cost=80.153 | |
| 2016-05-03 15:44:07,600 Node[0] Saved checkpoint to "cifar10/resnet-0053.params" | |
| 2016-05-03 15:44:09,484 Node[0] Epoch[52] Validation-accuracy=0.143930 | |
| 2016-05-03 15:44:19,724 Node[0] Epoch[53] Batch [50] Speed: 628.32 samples/sec Train-accuracy=0.908594 | |
| 2016-05-03 15:44:30,014 Node[0] Epoch[53] Batch [100] Speed: 622.00 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 15:44:40,269 Node[0] Epoch[53] Batch [150] Speed: 624.08 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 15:44:50,499 Node[0] Epoch[53] Batch [200] Speed: 625.61 samples/sec Train-accuracy=0.914687 | |
| 2016-05-03 15:45:00,759 Node[0] Epoch[53] Batch [250] Speed: 623.83 samples/sec Train-accuracy=0.905469 | |
| 2016-05-03 15:45:11,000 Node[0] Epoch[53] Batch [300] Speed: 624.94 samples/sec Train-accuracy=0.911094 | |
| 2016-05-03 15:45:21,143 Node[0] Epoch[53] Batch [350] Speed: 631.00 samples/sec Train-accuracy=0.910469 | |
| 2016-05-03 15:45:29,241 Node[0] Epoch[53] Resetting Data Iterator | |
| 2016-05-03 15:45:29,242 Node[0] Epoch[53] Time cost=79.757 | |
| 2016-05-03 15:45:29,403 Node[0] Saved checkpoint to "cifar10/resnet-0054.params" | |
| 2016-05-03 15:45:31,338 Node[0] Epoch[53] Validation-accuracy=0.107071 | |
| 2016-05-03 15:45:41,633 Node[0] Epoch[54] Batch [50] Speed: 624.90 samples/sec Train-accuracy=0.905625 | |
| 2016-05-03 15:45:51,851 Node[0] Epoch[54] Batch [100] Speed: 626.38 samples/sec Train-accuracy=0.912500 | |
| 2016-05-03 15:46:02,076 Node[0] Epoch[54] Batch [150] Speed: 625.94 samples/sec Train-accuracy=0.909687 | |
| 2016-05-03 15:46:12,278 Node[0] Epoch[54] Batch [200] Speed: 627.37 samples/sec Train-accuracy=0.909844 | |
| 2016-05-03 15:46:22,456 Node[0] Epoch[54] Batch [250] Speed: 628.80 samples/sec Train-accuracy=0.918125 | |
| 2016-05-03 15:46:32,729 Node[0] Epoch[54] Batch [300] Speed: 623.06 samples/sec Train-accuracy=0.909844 | |
| 2016-05-03 15:46:42,916 Node[0] Epoch[54] Batch [350] Speed: 628.27 samples/sec Train-accuracy=0.913125 | |
| 2016-05-03 15:46:51,314 Node[0] Epoch[54] Resetting Data Iterator | |
| 2016-05-03 15:46:51,314 Node[0] Epoch[54] Time cost=79.976 | |
| 2016-05-03 15:46:51,473 Node[0] Saved checkpoint to "cifar10/resnet-0055.params" | |
| 2016-05-03 15:46:53,375 Node[0] Epoch[54] Validation-accuracy=0.131611 | |
| 2016-05-03 15:47:03,640 Node[0] Epoch[55] Batch [50] Speed: 626.81 samples/sec Train-accuracy=0.909844 | |
| 2016-05-03 15:47:13,901 Node[0] Epoch[55] Batch [100] Speed: 623.71 samples/sec Train-accuracy=0.917031 | |
| 2016-05-03 15:47:24,167 Node[0] Epoch[55] Batch [150] Speed: 623.41 samples/sec Train-accuracy=0.917500 | |
| 2016-05-03 15:47:34,394 Node[0] Epoch[55] Batch [200] Speed: 625.86 samples/sec Train-accuracy=0.912188 | |
| 2016-05-03 15:47:44,645 Node[0] Epoch[55] Batch [250] Speed: 624.36 samples/sec Train-accuracy=0.913281 | |
| 2016-05-03 15:47:54,868 Node[0] Epoch[55] Batch [300] Speed: 626.00 samples/sec Train-accuracy=0.912188 | |
| 2016-05-03 15:48:05,092 Node[0] Epoch[55] Batch [350] Speed: 626.02 samples/sec Train-accuracy=0.906250 | |
| 2016-05-03 15:48:13,266 Node[0] Epoch[55] Resetting Data Iterator | |
| 2016-05-03 15:48:13,266 Node[0] Epoch[55] Time cost=79.891 | |
| 2016-05-03 15:48:13,426 Node[0] Saved checkpoint to "cifar10/resnet-0056.params" | |
| 2016-05-03 15:48:15,327 Node[0] Epoch[55] Validation-accuracy=0.172276 | |
| 2016-05-03 15:48:25,610 Node[0] Epoch[56] Batch [50] Speed: 625.82 samples/sec Train-accuracy=0.908594 | |
| 2016-05-03 15:48:35,837 Node[0] Epoch[56] Batch [100] Speed: 625.79 samples/sec Train-accuracy=0.912188 | |
| 2016-05-03 15:48:46,103 Node[0] Epoch[56] Batch [150] Speed: 623.45 samples/sec Train-accuracy=0.917656 | |
| 2016-05-03 15:48:56,391 Node[0] Epoch[56] Batch [200] Speed: 622.10 samples/sec Train-accuracy=0.909531 | |
| 2016-05-03 15:49:06,612 Node[0] Epoch[56] Batch [250] Speed: 626.15 samples/sec Train-accuracy=0.914844 | |
| 2016-05-03 15:49:16,871 Node[0] Epoch[56] Batch [300] Speed: 623.87 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 15:49:27,100 Node[0] Epoch[56] Batch [350] Speed: 625.67 samples/sec Train-accuracy=0.911875 | |
| 2016-05-03 15:49:35,491 Node[0] Epoch[56] Resetting Data Iterator | |
| 2016-05-03 15:49:35,492 Node[0] Epoch[56] Time cost=80.164 | |
| 2016-05-03 15:49:35,651 Node[0] Saved checkpoint to "cifar10/resnet-0057.params" | |
| 2016-05-03 15:49:37,760 Node[0] Epoch[56] Validation-accuracy=0.142108 | |
| 2016-05-03 15:49:48,050 Node[0] Epoch[57] Batch [50] Speed: 625.25 samples/sec Train-accuracy=0.915625 | |
| 2016-05-03 15:49:58,344 Node[0] Epoch[57] Batch [100] Speed: 621.75 samples/sec Train-accuracy=0.918281 | |
| 2016-05-03 15:50:08,580 Node[0] Epoch[57] Batch [150] Speed: 625.30 samples/sec Train-accuracy=0.917031 | |
| 2016-05-03 15:50:18,810 Node[0] Epoch[57] Batch [200] Speed: 625.60 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 15:50:29,108 Node[0] Epoch[57] Batch [250] Speed: 621.50 samples/sec Train-accuracy=0.916406 | |
| 2016-05-03 15:50:39,329 Node[0] Epoch[57] Batch [300] Speed: 626.15 samples/sec Train-accuracy=0.911719 | |
| 2016-05-03 15:50:49,549 Node[0] Epoch[57] Batch [350] Speed: 626.25 samples/sec Train-accuracy=0.913281 | |
| 2016-05-03 15:50:57,986 Node[0] Epoch[57] Resetting Data Iterator | |
| 2016-05-03 15:50:57,986 Node[0] Epoch[57] Time cost=80.226 | |
| 2016-05-03 15:50:58,147 Node[0] Saved checkpoint to "cifar10/resnet-0058.params" | |
| 2016-05-03 15:51:00,082 Node[0] Epoch[57] Validation-accuracy=0.138321 | |
| 2016-05-03 15:51:10,386 Node[0] Epoch[58] Batch [50] Speed: 624.33 samples/sec Train-accuracy=0.911250 | |
| 2016-05-03 15:51:20,689 Node[0] Epoch[58] Batch [100] Speed: 621.19 samples/sec Train-accuracy=0.911875 | |
| 2016-05-03 15:51:30,911 Node[0] Epoch[58] Batch [150] Speed: 626.11 samples/sec Train-accuracy=0.915000 | |
| 2016-05-03 15:51:41,165 Node[0] Epoch[58] Batch [200] Speed: 624.15 samples/sec Train-accuracy=0.911406 | |
| 2016-05-03 15:51:51,389 Node[0] Epoch[58] Batch [250] Speed: 625.96 samples/sec Train-accuracy=0.921562 | |
| 2016-05-03 15:52:01,620 Node[0] Epoch[58] Batch [300] Speed: 625.61 samples/sec Train-accuracy=0.916250 | |
| 2016-05-03 15:52:11,953 Node[0] Epoch[58] Batch [350] Speed: 619.40 samples/sec Train-accuracy=0.907500 | |
| 2016-05-03 15:52:20,185 Node[0] Epoch[58] Resetting Data Iterator | |
| 2016-05-03 15:52:20,185 Node[0] Epoch[58] Time cost=80.103 | |
| 2016-05-03 15:52:20,345 Node[0] Saved checkpoint to "cifar10/resnet-0059.params" | |
| 2016-05-03 15:52:22,255 Node[0] Epoch[58] Validation-accuracy=0.119391 | |
| 2016-05-03 15:52:32,385 Node[0] Epoch[59] Batch [50] Speed: 635.07 samples/sec Train-accuracy=0.914375 | |
| 2016-05-03 15:52:42,597 Node[0] Epoch[59] Batch [100] Speed: 626.75 samples/sec Train-accuracy=0.913750 | |
| 2016-05-03 15:52:52,835 Node[0] Epoch[59] Batch [150] Speed: 625.16 samples/sec Train-accuracy=0.920937 | |
| 2016-05-03 15:53:03,090 Node[0] Epoch[59] Batch [200] Speed: 624.06 samples/sec Train-accuracy=0.912656 | |
| 2016-05-03 15:53:13,383 Node[0] Epoch[59] Batch [250] Speed: 621.84 samples/sec Train-accuracy=0.915469 | |
| 2016-05-03 15:53:23,695 Node[0] Epoch[59] Batch [300] Speed: 620.66 samples/sec Train-accuracy=0.914844 | |
| 2016-05-03 15:53:33,984 Node[0] Epoch[59] Batch [350] Speed: 622.00 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 15:53:42,367 Node[0] Epoch[59] Resetting Data Iterator | |
| 2016-05-03 15:53:42,368 Node[0] Epoch[59] Time cost=80.113 | |
| 2016-05-03 15:53:42,528 Node[0] Saved checkpoint to "cifar10/resnet-0060.params" | |
| 2016-05-03 15:53:44,425 Node[0] Epoch[59] Validation-accuracy=0.143530 | |
| 2016-05-03 15:53:54,702 Node[0] Epoch[60] Batch [50] Speed: 626.00 samples/sec Train-accuracy=0.914219 | |
| 2016-05-03 15:54:04,926 Node[0] Epoch[60] Batch [100] Speed: 626.04 samples/sec Train-accuracy=0.910156 | |
| 2016-05-03 15:54:15,139 Node[0] Epoch[60] Batch [150] Speed: 626.67 samples/sec Train-accuracy=0.919219 | |
| 2016-05-03 15:54:25,394 Node[0] Epoch[60] Batch [200] Speed: 624.10 samples/sec Train-accuracy=0.907813 | |
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| 2016-05-03 15:54:45,896 Node[0] Epoch[60] Batch [300] Speed: 624.09 samples/sec Train-accuracy=0.915625 | |
| 2016-05-03 15:54:56,165 Node[0] Epoch[60] Batch [350] Speed: 623.26 samples/sec Train-accuracy=0.910625 | |
| 2016-05-03 15:55:04,577 Node[0] Epoch[60] Resetting Data Iterator | |
| 2016-05-03 15:55:04,578 Node[0] Epoch[60] Time cost=80.152 | |
| 2016-05-03 15:55:04,739 Node[0] Saved checkpoint to "cifar10/resnet-0061.params" | |
| 2016-05-03 15:55:06,689 Node[0] Epoch[60] Validation-accuracy=0.106070 | |
| 2016-05-03 15:55:16,920 Node[0] Epoch[61] Batch [50] Speed: 628.86 samples/sec Train-accuracy=0.914844 | |
| 2016-05-03 15:55:27,186 Node[0] Epoch[61] Batch [100] Speed: 623.47 samples/sec Train-accuracy=0.919531 | |
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| 2016-05-03 15:55:47,675 Node[0] Epoch[61] Batch [200] Speed: 623.70 samples/sec Train-accuracy=0.919219 | |
| 2016-05-03 15:55:57,923 Node[0] Epoch[61] Batch [250] Speed: 624.57 samples/sec Train-accuracy=0.916719 | |
| 2016-05-03 15:56:08,218 Node[0] Epoch[61] Batch [300] Speed: 621.68 samples/sec Train-accuracy=0.921406 | |
| 2016-05-03 15:56:18,503 Node[0] Epoch[61] Batch [350] Speed: 622.28 samples/sec Train-accuracy=0.918125 | |
| 2016-05-03 15:56:26,692 Node[0] Epoch[61] Resetting Data Iterator | |
| 2016-05-03 15:56:26,692 Node[0] Epoch[61] Time cost=80.003 | |
| 2016-05-03 15:56:26,854 Node[0] Saved checkpoint to "cifar10/resnet-0062.params" | |
| 2016-05-03 15:56:28,757 Node[0] Epoch[61] Validation-accuracy=0.116887 | |
| 2016-05-03 15:56:39,074 Node[0] Epoch[62] Batch [50] Speed: 623.63 samples/sec Train-accuracy=0.910625 | |
| 2016-05-03 15:56:49,381 Node[0] Epoch[62] Batch [100] Speed: 620.96 samples/sec Train-accuracy=0.922344 | |
| 2016-05-03 15:56:59,661 Node[0] Epoch[62] Batch [150] Speed: 622.58 samples/sec Train-accuracy=0.927656 | |
| 2016-05-03 15:57:09,922 Node[0] Epoch[62] Batch [200] Speed: 623.73 samples/sec Train-accuracy=0.919063 | |
| 2016-05-03 15:57:20,163 Node[0] Epoch[62] Batch [250] Speed: 624.97 samples/sec Train-accuracy=0.910156 | |
| 2016-05-03 15:57:30,467 Node[0] Epoch[62] Batch [300] Speed: 621.10 samples/sec Train-accuracy=0.920156 | |
| 2016-05-03 15:57:40,686 Node[0] Epoch[62] Batch [350] Speed: 626.30 samples/sec Train-accuracy=0.912969 | |
| 2016-05-03 15:57:49,076 Node[0] Epoch[62] Resetting Data Iterator | |
| 2016-05-03 15:57:49,076 Node[0] Epoch[62] Time cost=80.319 | |
| 2016-05-03 15:57:49,234 Node[0] Saved checkpoint to "cifar10/resnet-0063.params" | |
| 2016-05-03 15:57:51,126 Node[0] Epoch[62] Validation-accuracy=0.102965 | |
| 2016-05-03 15:58:01,394 Node[0] Epoch[63] Batch [50] Speed: 626.72 samples/sec Train-accuracy=0.909375 | |
| 2016-05-03 15:58:11,677 Node[0] Epoch[63] Batch [100] Speed: 622.38 samples/sec Train-accuracy=0.919531 | |
| 2016-05-03 15:58:21,987 Node[0] Epoch[63] Batch [150] Speed: 620.76 samples/sec Train-accuracy=0.918438 | |
| 2016-05-03 15:58:32,241 Node[0] Epoch[63] Batch [200] Speed: 624.20 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 15:58:42,523 Node[0] Epoch[63] Batch [250] Speed: 622.46 samples/sec Train-accuracy=0.914687 | |
| 2016-05-03 15:58:52,759 Node[0] Epoch[63] Batch [300] Speed: 625.26 samples/sec Train-accuracy=0.918281 | |
| 2016-05-03 15:59:02,965 Node[0] Epoch[63] Batch [350] Speed: 627.09 samples/sec Train-accuracy=0.919687 | |
| 2016-05-03 15:59:11,171 Node[0] Epoch[63] Resetting Data Iterator | |
| 2016-05-03 15:59:11,171 Node[0] Epoch[63] Time cost=80.045 | |
| 2016-05-03 15:59:11,340 Node[0] Saved checkpoint to "cifar10/resnet-0064.params" | |
| 2016-05-03 15:59:13,237 Node[0] Epoch[63] Validation-accuracy=0.099960 | |
| 2016-05-03 15:59:23,513 Node[0] Epoch[64] Batch [50] Speed: 626.09 samples/sec Train-accuracy=0.916562 | |
| 2016-05-03 15:59:33,766 Node[0] Epoch[64] Batch [100] Speed: 624.25 samples/sec Train-accuracy=0.918281 | |
| 2016-05-03 15:59:44,037 Node[0] Epoch[64] Batch [150] Speed: 623.11 samples/sec Train-accuracy=0.923438 | |
| 2016-05-03 15:59:54,318 Node[0] Epoch[64] Batch [200] Speed: 622.51 samples/sec Train-accuracy=0.913438 | |
| 2016-05-03 16:00:04,588 Node[0] Epoch[64] Batch [250] Speed: 623.22 samples/sec Train-accuracy=0.920781 | |
| 2016-05-03 16:01:05,985 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 16:01:12,209 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 16:01:12,588 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 16:01:33,249 Node[0] Epoch[0] Batch [50] Speed: 661.07 samples/sec Train-accuracy=0.138906 | |
| 2016-05-03 16:01:43,136 Node[0] Epoch[0] Batch [100] Speed: 647.30 samples/sec Train-accuracy=0.237344 | |
| 2016-05-03 16:01:53,065 Node[0] Epoch[0] Batch [150] Speed: 644.62 samples/sec Train-accuracy=0.293125 | |
| 2016-05-03 16:02:02,995 Node[0] Epoch[0] Batch [200] Speed: 644.52 samples/sec Train-accuracy=0.302344 | |
| 2016-05-03 16:02:13,050 Node[0] Epoch[0] Batch [250] Speed: 636.53 samples/sec Train-accuracy=0.350781 | |
| 2016-05-03 16:02:23,718 Node[0] Epoch[0] Batch [300] Speed: 599.94 samples/sec Train-accuracy=0.367656 | |
| 2016-05-03 16:02:34,437 Node[0] Epoch[0] Batch [350] Speed: 597.08 samples/sec Train-accuracy=0.366563 | |
| 2016-05-03 16:02:43,175 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 16:02:43,175 Node[0] Epoch[0] Time cost=79.873 | |
| 2016-05-03 16:02:43,346 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 16:02:45,623 Node[0] Epoch[0] Validation-accuracy=0.398339 | |
| 2016-05-03 16:02:56,120 Node[0] Epoch[1] Batch [50] Speed: 612.95 samples/sec Train-accuracy=0.393594 | |
| 2016-05-03 16:03:06,624 Node[0] Epoch[1] Batch [100] Speed: 609.31 samples/sec Train-accuracy=0.414062 | |
| 2016-05-03 16:03:17,012 Node[0] Epoch[1] Batch [150] Speed: 616.07 samples/sec Train-accuracy=0.428125 | |
| 2016-05-03 16:03:27,436 Node[0] Epoch[1] Batch [200] Speed: 613.98 samples/sec Train-accuracy=0.422031 | |
| 2016-05-03 16:03:37,840 Node[0] Epoch[1] Batch [250] Speed: 615.21 samples/sec Train-accuracy=0.442344 | |
| 2016-05-03 16:03:48,262 Node[0] Epoch[1] Batch [300] Speed: 614.10 samples/sec Train-accuracy=0.455313 | |
| 2016-05-03 16:03:58,680 Node[0] Epoch[1] Batch [350] Speed: 614.30 samples/sec Train-accuracy=0.456719 | |
| 2016-05-03 16:04:07,265 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 16:04:07,265 Node[0] Epoch[1] Time cost=81.642 | |
| 2016-05-03 16:04:07,429 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 16:04:09,390 Node[0] Epoch[1] Validation-accuracy=0.466847 | |
| 2016-05-03 16:04:19,877 Node[0] Epoch[2] Batch [50] Speed: 613.47 samples/sec Train-accuracy=0.472187 | |
| 2016-05-03 16:04:30,252 Node[0] Epoch[2] Batch [100] Speed: 616.89 samples/sec Train-accuracy=0.511250 | |
| 2016-05-03 16:04:40,634 Node[0] Epoch[2] Batch [150] Speed: 616.49 samples/sec Train-accuracy=0.510625 | |
| 2016-05-03 16:04:50,994 Node[0] Epoch[2] Batch [200] Speed: 617.79 samples/sec Train-accuracy=0.517500 | |
| 2016-05-03 16:05:01,404 Node[0] Epoch[2] Batch [250] Speed: 614.77 samples/sec Train-accuracy=0.526875 | |
| 2016-05-03 16:05:11,776 Node[0] Epoch[2] Batch [300] Speed: 617.09 samples/sec Train-accuracy=0.545156 | |
| 2016-05-03 16:05:22,119 Node[0] Epoch[2] Batch [350] Speed: 618.77 samples/sec Train-accuracy=0.548750 | |
| 2016-05-03 16:05:30,341 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 16:05:30,342 Node[0] Epoch[2] Time cost=80.951 | |
| 2016-05-03 16:05:30,503 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 16:05:32,459 Node[0] Epoch[2] Validation-accuracy=0.564303 | |
| 2016-05-03 16:05:42,822 Node[0] Epoch[3] Batch [50] Speed: 620.82 samples/sec Train-accuracy=0.566875 | |
| 2016-05-03 16:05:53,092 Node[0] Epoch[3] Batch [100] Speed: 623.14 samples/sec Train-accuracy=0.582812 | |
| 2016-05-03 16:06:03,373 Node[0] Epoch[3] Batch [150] Speed: 622.53 samples/sec Train-accuracy=0.595156 | |
| 2016-05-03 16:06:13,652 Node[0] Epoch[3] Batch [200] Speed: 622.68 samples/sec Train-accuracy=0.589063 | |
| 2016-05-03 16:06:23,935 Node[0] Epoch[3] Batch [250] Speed: 622.37 samples/sec Train-accuracy=0.602656 | |
| 2016-05-03 16:06:34,214 Node[0] Epoch[3] Batch [300] Speed: 622.68 samples/sec Train-accuracy=0.608750 | |
| 2016-05-03 16:06:44,476 Node[0] Epoch[3] Batch [350] Speed: 623.64 samples/sec Train-accuracy=0.615156 | |
| 2016-05-03 16:06:52,901 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 16:06:52,901 Node[0] Epoch[3] Time cost=80.442 | |
| 2016-05-03 16:06:53,064 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 16:06:55,013 Node[0] Epoch[3] Validation-accuracy=0.637019 | |
| 2016-05-03 16:07:05,323 Node[0] Epoch[4] Batch [50] Speed: 624.02 samples/sec Train-accuracy=0.626406 | |
| 2016-05-03 16:07:15,560 Node[0] Epoch[4] Batch [100] Speed: 625.20 samples/sec Train-accuracy=0.642500 | |
| 2016-05-03 16:07:25,691 Node[0] Epoch[4] Batch [150] Speed: 631.70 samples/sec Train-accuracy=0.652031 | |
| 2016-05-03 16:07:35,845 Node[0] Epoch[4] Batch [200] Speed: 630.31 samples/sec Train-accuracy=0.649844 | |
| 2016-05-03 16:07:46,024 Node[0] Epoch[4] Batch [250] Speed: 628.75 samples/sec Train-accuracy=0.648281 | |
| 2016-05-03 16:07:56,271 Node[0] Epoch[4] Batch [300] Speed: 624.62 samples/sec Train-accuracy=0.662656 | |
| 2016-05-03 16:08:06,568 Node[0] Epoch[4] Batch [350] Speed: 621.55 samples/sec Train-accuracy=0.668750 | |
| 2016-05-03 16:08:14,918 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 16:08:14,918 Node[0] Epoch[4] Time cost=79.905 | |
| 2016-05-03 16:08:15,081 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 16:08:16,954 Node[0] Epoch[4] Validation-accuracy=0.684095 | |
| 2016-05-03 16:08:27,165 Node[0] Epoch[5] Batch [50] Speed: 630.12 samples/sec Train-accuracy=0.673750 | |
| 2016-05-03 16:08:37,428 Node[0] Epoch[5] Batch [100] Speed: 623.62 samples/sec Train-accuracy=0.687031 | |
| 2016-05-03 16:08:47,661 Node[0] Epoch[5] Batch [150] Speed: 625.44 samples/sec Train-accuracy=0.695469 | |
| 2016-05-03 16:08:57,828 Node[0] Epoch[5] Batch [200] Speed: 629.49 samples/sec Train-accuracy=0.693906 | |
| 2016-05-03 16:09:08,043 Node[0] Epoch[5] Batch [250] Speed: 626.57 samples/sec Train-accuracy=0.696875 | |
| 2016-05-03 16:09:18,225 Node[0] Epoch[5] Batch [300] Speed: 628.58 samples/sec Train-accuracy=0.702812 | |
| 2016-05-03 16:09:28,398 Node[0] Epoch[5] Batch [350] Speed: 629.14 samples/sec Train-accuracy=0.704219 | |
| 2016-05-03 16:09:36,528 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 16:09:36,528 Node[0] Epoch[5] Time cost=79.574 | |
| 2016-05-03 16:09:36,691 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 16:09:38,663 Node[0] Epoch[5] Validation-accuracy=0.693510 | |
| 2016-05-03 16:09:48,937 Node[0] Epoch[6] Batch [50] Speed: 626.18 samples/sec Train-accuracy=0.716094 | |
| 2016-05-03 16:09:59,124 Node[0] Epoch[6] Batch [100] Speed: 628.31 samples/sec Train-accuracy=0.725625 | |
| 2016-05-03 16:10:09,280 Node[0] Epoch[6] Batch [150] Speed: 630.15 samples/sec Train-accuracy=0.733125 | |
| 2016-05-03 16:10:19,487 Node[0] Epoch[6] Batch [200] Speed: 627.02 samples/sec Train-accuracy=0.727187 | |
| 2016-05-03 16:10:29,629 Node[0] Epoch[6] Batch [250] Speed: 631.05 samples/sec Train-accuracy=0.723125 | |
| 2016-05-03 16:10:39,810 Node[0] Epoch[6] Batch [300] Speed: 628.67 samples/sec Train-accuracy=0.735625 | |
| 2016-05-03 16:10:49,983 Node[0] Epoch[6] Batch [350] Speed: 629.11 samples/sec Train-accuracy=0.739844 | |
| 2016-05-03 16:10:58,330 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 16:10:58,330 Node[0] Epoch[6] Time cost=79.667 | |
| 2016-05-03 16:10:58,493 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 16:11:00,389 Node[0] Epoch[6] Validation-accuracy=0.733774 | |
| 2016-05-03 16:11:10,581 Node[0] Epoch[7] Batch [50] Speed: 631.35 samples/sec Train-accuracy=0.738906 | |
| 2016-05-03 16:11:20,745 Node[0] Epoch[7] Batch [100] Speed: 629.73 samples/sec Train-accuracy=0.742344 | |
| 2016-05-03 16:11:30,854 Node[0] Epoch[7] Batch [150] Speed: 633.13 samples/sec Train-accuracy=0.762813 | |
| 2016-05-03 16:11:40,968 Node[0] Epoch[7] Batch [200] Speed: 632.77 samples/sec Train-accuracy=0.755156 | |
| 2016-05-03 16:11:51,135 Node[0] Epoch[7] Batch [250] Speed: 629.54 samples/sec Train-accuracy=0.748437 | |
| 2016-05-03 16:12:01,262 Node[0] Epoch[7] Batch [300] Speed: 631.94 samples/sec Train-accuracy=0.761719 | |
| 2016-05-03 16:12:11,470 Node[0] Epoch[7] Batch [350] Speed: 626.99 samples/sec Train-accuracy=0.765781 | |
| 2016-05-03 16:12:19,603 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 16:12:19,603 Node[0] Epoch[7] Time cost=79.214 | |
| 2016-05-03 16:12:19,764 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 16:12:21,655 Node[0] Epoch[7] Validation-accuracy=0.747196 | |
| 2016-05-03 16:12:31,832 Node[0] Epoch[8] Batch [50] Speed: 632.19 samples/sec Train-accuracy=0.762656 | |
| 2016-05-03 16:12:42,001 Node[0] Epoch[8] Batch [100] Speed: 629.39 samples/sec Train-accuracy=0.766406 | |
| 2016-05-03 16:12:52,211 Node[0] Epoch[8] Batch [150] Speed: 626.88 samples/sec Train-accuracy=0.777031 | |
| 2016-05-03 16:13:02,373 Node[0] Epoch[8] Batch [200] Speed: 629.79 samples/sec Train-accuracy=0.775000 | |
| 2016-05-03 16:13:12,546 Node[0] Epoch[8] Batch [250] Speed: 629.13 samples/sec Train-accuracy=0.774375 | |
| 2016-05-03 16:13:22,730 Node[0] Epoch[8] Batch [300] Speed: 628.45 samples/sec Train-accuracy=0.781406 | |
| 2016-05-03 16:13:32,878 Node[0] Epoch[8] Batch [350] Speed: 630.71 samples/sec Train-accuracy=0.775937 | |
| 2016-05-03 16:13:41,239 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 16:13:41,239 Node[0] Epoch[8] Time cost=79.584 | |
| 2016-05-03 16:13:41,402 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 16:13:43,527 Node[0] Epoch[8] Validation-accuracy=0.767504 | |
| 2016-05-03 16:13:53,655 Node[0] Epoch[9] Batch [50] Speed: 635.10 samples/sec Train-accuracy=0.780781 | |
| 2016-05-03 16:14:03,842 Node[0] Epoch[9] Batch [100] Speed: 628.27 samples/sec Train-accuracy=0.788438 | |
| 2016-05-03 16:14:13,957 Node[0] Epoch[9] Batch [150] Speed: 632.76 samples/sec Train-accuracy=0.795937 | |
| 2016-05-03 16:14:24,169 Node[0] Epoch[9] Batch [200] Speed: 626.75 samples/sec Train-accuracy=0.790312 | |
| 2016-05-03 16:14:34,257 Node[0] Epoch[9] Batch [250] Speed: 634.40 samples/sec Train-accuracy=0.790156 | |
| 2016-05-03 16:14:44,407 Node[0] Epoch[9] Batch [300] Speed: 630.57 samples/sec Train-accuracy=0.787188 | |
| 2016-05-03 16:14:54,552 Node[0] Epoch[9] Batch [350] Speed: 630.88 samples/sec Train-accuracy=0.788281 | |
| 2016-05-03 16:15:02,818 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 16:15:02,818 Node[0] Epoch[9] Time cost=79.291 | |
| 2016-05-03 16:15:02,979 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 16:15:04,893 Node[0] Epoch[9] Validation-accuracy=0.770833 | |
| 2016-05-03 16:15:15,057 Node[0] Epoch[10] Batch [50] Speed: 632.94 samples/sec Train-accuracy=0.793906 | |
| 2016-05-03 16:15:25,207 Node[0] Epoch[10] Batch [100] Speed: 630.55 samples/sec Train-accuracy=0.797500 | |
| 2016-05-03 16:15:35,339 Node[0] Epoch[10] Batch [150] Speed: 631.72 samples/sec Train-accuracy=0.808906 | |
| 2016-05-03 16:15:45,511 Node[0] Epoch[10] Batch [200] Speed: 629.17 samples/sec Train-accuracy=0.803750 | |
| 2016-05-03 16:15:55,625 Node[0] Epoch[10] Batch [250] Speed: 632.82 samples/sec Train-accuracy=0.789062 | |
| 2016-05-03 16:16:05,721 Node[0] Epoch[10] Batch [300] Speed: 633.91 samples/sec Train-accuracy=0.810312 | |
| 2016-05-03 16:16:15,831 Node[0] Epoch[10] Batch [350] Speed: 633.06 samples/sec Train-accuracy=0.804063 | |
| 2016-05-03 16:16:23,917 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 16:16:23,917 Node[0] Epoch[10] Time cost=79.024 | |
| 2016-05-03 16:16:24,073 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 16:16:25,962 Node[0] Epoch[10] Validation-accuracy=0.792969 | |
| 2016-05-03 16:16:36,061 Node[0] Epoch[11] Batch [50] Speed: 637.02 samples/sec Train-accuracy=0.805781 | |
| 2016-05-03 16:16:46,227 Node[0] Epoch[11] Batch [100] Speed: 629.54 samples/sec Train-accuracy=0.808438 | |
| 2016-05-03 16:16:56,308 Node[0] Epoch[11] Batch [150] Speed: 634.92 samples/sec Train-accuracy=0.813438 | |
| 2016-05-03 16:17:06,391 Node[0] Epoch[11] Batch [200] Speed: 634.72 samples/sec Train-accuracy=0.816406 | |
| 2016-05-03 16:17:16,556 Node[0] Epoch[11] Batch [250] Speed: 629.62 samples/sec Train-accuracy=0.810625 | |
| 2016-05-03 16:17:26,694 Node[0] Epoch[11] Batch [300] Speed: 631.32 samples/sec Train-accuracy=0.818750 | |
| 2016-05-03 16:17:36,826 Node[0] Epoch[11] Batch [350] Speed: 631.69 samples/sec Train-accuracy=0.810625 | |
| 2016-05-03 16:17:45,135 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 16:17:45,135 Node[0] Epoch[11] Time cost=79.173 | |
| 2016-05-03 16:17:45,294 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 16:17:47,235 Node[0] Epoch[11] Validation-accuracy=0.801783 | |
| 2016-05-03 16:17:57,372 Node[0] Epoch[12] Batch [50] Speed: 634.71 samples/sec Train-accuracy=0.816562 | |
| 2016-05-03 16:18:07,525 Node[0] Epoch[12] Batch [100] Speed: 630.37 samples/sec Train-accuracy=0.819063 | |
| 2016-05-03 16:18:17,726 Node[0] Epoch[12] Batch [150] Speed: 627.38 samples/sec Train-accuracy=0.825937 | |
| 2016-05-03 16:18:27,892 Node[0] Epoch[12] Batch [200] Speed: 629.57 samples/sec Train-accuracy=0.822500 | |
| 2016-05-03 16:18:38,018 Node[0] Epoch[12] Batch [250] Speed: 632.06 samples/sec Train-accuracy=0.817031 | |
| 2016-05-03 16:18:48,113 Node[0] Epoch[12] Batch [300] Speed: 634.04 samples/sec Train-accuracy=0.830469 | |
| 2016-05-03 16:18:58,244 Node[0] Epoch[12] Batch [350] Speed: 631.72 samples/sec Train-accuracy=0.821406 | |
| 2016-05-03 16:19:06,521 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 16:19:06,522 Node[0] Epoch[12] Time cost=79.286 | |
| 2016-05-03 16:19:06,679 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 16:19:08,570 Node[0] Epoch[12] Validation-accuracy=0.799179 | |
| 2016-05-03 16:19:18,719 Node[0] Epoch[13] Batch [50] Speed: 633.99 samples/sec Train-accuracy=0.828125 | |
| 2016-05-03 16:19:28,886 Node[0] Epoch[13] Batch [100] Speed: 629.51 samples/sec Train-accuracy=0.829063 | |
| 2016-05-03 16:19:39,001 Node[0] Epoch[13] Batch [150] Speed: 632.71 samples/sec Train-accuracy=0.835625 | |
| 2016-05-03 16:19:49,102 Node[0] Epoch[13] Batch [200] Speed: 633.62 samples/sec Train-accuracy=0.834375 | |
| 2016-05-03 16:19:59,179 Node[0] Epoch[13] Batch [250] Speed: 635.13 samples/sec Train-accuracy=0.831719 | |
| 2016-05-03 16:20:09,285 Node[0] Epoch[13] Batch [300] Speed: 633.32 samples/sec Train-accuracy=0.841250 | |
| 2016-05-03 16:20:19,434 Node[0] Epoch[13] Batch [350] Speed: 630.60 samples/sec Train-accuracy=0.831719 | |
| 2016-05-03 16:20:27,518 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 16:20:27,518 Node[0] Epoch[13] Time cost=78.948 | |
| 2016-05-03 16:20:27,678 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 16:20:29,574 Node[0] Epoch[13] Validation-accuracy=0.783454 | |
| 2016-05-03 16:20:39,757 Node[0] Epoch[14] Batch [50] Speed: 631.77 samples/sec Train-accuracy=0.836250 | |
| 2016-05-03 16:20:49,875 Node[0] Epoch[14] Batch [100] Speed: 632.55 samples/sec Train-accuracy=0.834219 | |
| 2016-05-03 16:20:59,958 Node[0] Epoch[14] Batch [150] Speed: 634.76 samples/sec Train-accuracy=0.840781 | |
| 2016-05-03 16:21:10,049 Node[0] Epoch[14] Batch [200] Speed: 634.25 samples/sec Train-accuracy=0.839063 | |
| 2016-05-03 16:21:20,157 Node[0] Epoch[14] Batch [250] Speed: 633.16 samples/sec Train-accuracy=0.833125 | |
| 2016-05-03 16:21:30,299 Node[0] Epoch[14] Batch [300] Speed: 631.05 samples/sec Train-accuracy=0.836562 | |
| 2016-05-03 16:21:40,392 Node[0] Epoch[14] Batch [350] Speed: 634.13 samples/sec Train-accuracy=0.833750 | |
| 2016-05-03 16:21:48,652 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 16:21:48,653 Node[0] Epoch[14] Time cost=79.079 | |
| 2016-05-03 16:21:48,814 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 16:21:50,775 Node[0] Epoch[14] Validation-accuracy=0.798377 | |
| 2016-05-03 16:22:00,856 Node[0] Epoch[15] Batch [50] Speed: 638.21 samples/sec Train-accuracy=0.836562 | |
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| 2016-05-03 16:23:01,390 Node[0] Epoch[15] Batch [350] Speed: 633.30 samples/sec Train-accuracy=0.849375 | |
| 2016-05-03 16:23:09,475 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 16:23:09,476 Node[0] Epoch[15] Time cost=78.700 | |
| 2016-05-03 16:23:09,634 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 16:23:11,533 Node[0] Epoch[15] Validation-accuracy=0.806591 | |
| 2016-05-03 16:23:21,567 Node[0] Epoch[16] Batch [50] Speed: 641.27 samples/sec Train-accuracy=0.844688 | |
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| 2016-05-03 16:24:30,329 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 16:24:30,329 Node[0] Epoch[16] Time cost=78.796 | |
| 2016-05-03 16:24:30,489 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 16:24:32,547 Node[0] Epoch[16] Validation-accuracy=0.814775 | |
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| 2016-05-03 16:25:43,131 Node[0] Epoch[17] Batch [350] Speed: 633.98 samples/sec Train-accuracy=0.855000 | |
| 2016-05-03 16:25:51,415 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 16:25:51,415 Node[0] Epoch[17] Time cost=78.868 | |
| 2016-05-03 16:25:51,569 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 16:25:53,455 Node[0] Epoch[17] Validation-accuracy=0.821214 | |
| 2016-05-03 16:26:03,566 Node[0] Epoch[18] Batch [50] Speed: 636.27 samples/sec Train-accuracy=0.856563 | |
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| 2016-05-03 16:27:03,911 Node[0] Epoch[18] Batch [350] Speed: 635.60 samples/sec Train-accuracy=0.856875 | |
| 2016-05-03 16:27:11,962 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 16:27:11,963 Node[0] Epoch[18] Time cost=78.508 | |
| 2016-05-03 16:27:12,122 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 16:27:14,006 Node[0] Epoch[18] Validation-accuracy=0.804187 | |
| 2016-05-03 16:27:24,047 Node[0] Epoch[19] Batch [50] Speed: 640.77 samples/sec Train-accuracy=0.856719 | |
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| 2016-05-03 16:28:32,844 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 16:28:32,844 Node[0] Epoch[19] Time cost=78.838 | |
| 2016-05-03 16:28:32,999 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 16:28:34,886 Node[0] Epoch[19] Validation-accuracy=0.831330 | |
| 2016-05-03 16:28:44,959 Node[0] Epoch[20] Batch [50] Speed: 638.74 samples/sec Train-accuracy=0.866719 | |
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| 2016-05-03 16:29:05,280 Node[0] Epoch[20] Batch [150] Speed: 630.92 samples/sec Train-accuracy=0.873437 | |
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| 2016-05-03 16:29:45,630 Node[0] Epoch[20] Batch [350] Speed: 632.30 samples/sec Train-accuracy=0.878281 | |
| 2016-05-03 16:29:53,925 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 16:29:53,926 Node[0] Epoch[20] Time cost=79.039 | |
| 2016-05-03 16:29:54,083 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 16:29:55,986 Node[0] Epoch[20] Validation-accuracy=0.810497 | |
| 2016-05-03 16:30:06,121 Node[0] Epoch[21] Batch [50] Speed: 634.76 samples/sec Train-accuracy=0.865781 | |
| 2016-05-03 16:30:16,276 Node[0] Epoch[21] Batch [100] Speed: 630.28 samples/sec Train-accuracy=0.870625 | |
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| 2016-05-03 16:30:36,467 Node[0] Epoch[21] Batch [200] Speed: 634.59 samples/sec Train-accuracy=0.869844 | |
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| 2016-05-03 16:30:56,658 Node[0] Epoch[21] Batch [300] Speed: 634.10 samples/sec Train-accuracy=0.881094 | |
| 2016-05-03 16:31:06,766 Node[0] Epoch[21] Batch [350] Speed: 633.20 samples/sec Train-accuracy=0.871094 | |
| 2016-05-03 16:31:14,825 Node[0] Epoch[21] Resetting Data Iterator | |
| 2016-05-03 16:31:14,825 Node[0] Epoch[21] Time cost=78.839 | |
| 2016-05-03 16:31:14,981 Node[0] Saved checkpoint to "cifar10/resnet-0022.params" | |
| 2016-05-03 16:31:16,878 Node[0] Epoch[21] Validation-accuracy=0.828626 | |
| 2016-05-03 16:31:27,026 Node[0] Epoch[22] Batch [50] Speed: 633.98 samples/sec Train-accuracy=0.867969 | |
| 2016-05-03 16:31:37,191 Node[0] Epoch[22] Batch [100] Speed: 629.66 samples/sec Train-accuracy=0.875313 | |
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| 2016-05-03 16:31:57,486 Node[0] Epoch[22] Batch [200] Speed: 631.01 samples/sec Train-accuracy=0.878437 | |
| 2016-05-03 16:32:07,582 Node[0] Epoch[22] Batch [250] Speed: 633.92 samples/sec Train-accuracy=0.876563 | |
| 2016-05-03 16:32:17,662 Node[0] Epoch[22] Batch [300] Speed: 634.93 samples/sec Train-accuracy=0.876563 | |
| 2016-05-03 16:32:27,785 Node[0] Epoch[22] Batch [350] Speed: 632.20 samples/sec Train-accuracy=0.876250 | |
| 2016-05-03 16:32:36,081 Node[0] Epoch[22] Resetting Data Iterator | |
| 2016-05-03 16:32:36,082 Node[0] Epoch[22] Time cost=79.203 | |
| 2016-05-03 16:32:36,242 Node[0] Saved checkpoint to "cifar10/resnet-0023.params" | |
| 2016-05-03 16:32:38,174 Node[0] Epoch[22] Validation-accuracy=0.831631 | |
| 2016-05-03 16:32:48,283 Node[0] Epoch[23] Batch [50] Speed: 636.47 samples/sec Train-accuracy=0.878125 | |
| 2016-05-03 16:32:58,492 Node[0] Epoch[23] Batch [100] Speed: 626.95 samples/sec Train-accuracy=0.885781 | |
| 2016-05-03 16:33:08,678 Node[0] Epoch[23] Batch [150] Speed: 628.32 samples/sec Train-accuracy=0.886250 | |
| 2016-05-03 16:33:18,789 Node[0] Epoch[23] Batch [200] Speed: 632.95 samples/sec Train-accuracy=0.878750 | |
| 2016-05-03 16:33:28,871 Node[0] Epoch[23] Batch [250] Speed: 634.81 samples/sec Train-accuracy=0.867188 | |
| 2016-05-03 16:33:39,044 Node[0] Epoch[23] Batch [300] Speed: 629.16 samples/sec Train-accuracy=0.878281 | |
| 2016-05-03 16:33:49,174 Node[0] Epoch[23] Batch [350] Speed: 631.79 samples/sec Train-accuracy=0.880000 | |
| 2016-05-03 16:33:57,254 Node[0] Epoch[23] Resetting Data Iterator | |
| 2016-05-03 16:33:57,254 Node[0] Epoch[23] Time cost=79.080 | |
| 2016-05-03 16:33:57,412 Node[0] Saved checkpoint to "cifar10/resnet-0024.params" | |
| 2016-05-03 16:33:59,336 Node[0] Epoch[23] Validation-accuracy=0.826623 | |
| 2016-05-03 16:34:09,552 Node[0] Epoch[24] Batch [50] Speed: 629.77 samples/sec Train-accuracy=0.874375 | |
| 2016-05-03 16:34:19,685 Node[0] Epoch[24] Batch [100] Speed: 631.66 samples/sec Train-accuracy=0.883437 | |
| 2016-05-03 16:34:29,807 Node[0] Epoch[24] Batch [150] Speed: 632.29 samples/sec Train-accuracy=0.880313 | |
| 2016-05-03 16:34:39,952 Node[0] Epoch[24] Batch [200] Speed: 630.87 samples/sec Train-accuracy=0.882031 | |
| 2016-05-03 16:34:50,049 Node[0] Epoch[24] Batch [250] Speed: 633.87 samples/sec Train-accuracy=0.883125 | |
| 2016-05-03 16:35:00,186 Node[0] Epoch[24] Batch [300] Speed: 631.36 samples/sec Train-accuracy=0.888125 | |
| 2016-05-03 16:35:10,335 Node[0] Epoch[24] Batch [350] Speed: 630.66 samples/sec Train-accuracy=0.882031 | |
| 2016-05-03 16:35:18,636 Node[0] Epoch[24] Resetting Data Iterator | |
| 2016-05-03 16:35:18,636 Node[0] Epoch[24] Time cost=79.299 | |
| 2016-05-03 16:35:18,799 Node[0] Saved checkpoint to "cifar10/resnet-0025.params" | |
| 2016-05-03 16:35:20,949 Node[0] Epoch[24] Validation-accuracy=0.838805 | |
| 2016-05-03 16:35:31,062 Node[0] Epoch[25] Batch [50] Speed: 636.13 samples/sec Train-accuracy=0.890469 | |
| 2016-05-03 16:35:41,195 Node[0] Epoch[25] Batch [100] Speed: 631.63 samples/sec Train-accuracy=0.883281 | |
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| 2016-05-03 16:36:01,468 Node[0] Epoch[25] Batch [200] Speed: 630.87 samples/sec Train-accuracy=0.880469 | |
| 2016-05-03 16:36:11,619 Node[0] Epoch[25] Batch [250] Speed: 630.47 samples/sec Train-accuracy=0.882969 | |
| 2016-05-03 16:36:21,744 Node[0] Epoch[25] Batch [300] Speed: 632.11 samples/sec Train-accuracy=0.888281 | |
| 2016-05-03 16:36:31,886 Node[0] Epoch[25] Batch [350] Speed: 631.02 samples/sec Train-accuracy=0.884687 | |
| 2016-05-03 16:36:40,189 Node[0] Epoch[25] Resetting Data Iterator | |
| 2016-05-03 16:36:40,189 Node[0] Epoch[25] Time cost=79.240 | |
| 2016-05-03 16:36:40,350 Node[0] Saved checkpoint to "cifar10/resnet-0026.params" | |
| 2016-05-03 16:36:42,219 Node[0] Epoch[25] Validation-accuracy=0.818309 | |
| 2016-05-03 16:36:52,335 Node[0] Epoch[26] Batch [50] Speed: 636.13 samples/sec Train-accuracy=0.884531 | |
| 2016-05-03 16:37:02,474 Node[0] Epoch[26] Batch [100] Speed: 631.18 samples/sec Train-accuracy=0.886563 | |
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| 2016-05-03 16:37:22,709 Node[0] Epoch[26] Batch [200] Speed: 632.25 samples/sec Train-accuracy=0.881875 | |
| 2016-05-03 16:37:32,847 Node[0] Epoch[26] Batch [250] Speed: 631.30 samples/sec Train-accuracy=0.887656 | |
| 2016-05-03 16:37:42,996 Node[0] Epoch[26] Batch [300] Speed: 630.58 samples/sec Train-accuracy=0.885469 | |
| 2016-05-03 16:37:53,120 Node[0] Epoch[26] Batch [350] Speed: 632.19 samples/sec Train-accuracy=0.891250 | |
| 2016-05-03 16:38:01,221 Node[0] Epoch[26] Resetting Data Iterator | |
| 2016-05-03 16:38:01,221 Node[0] Epoch[26] Time cost=79.002 | |
| 2016-05-03 16:38:01,382 Node[0] Saved checkpoint to "cifar10/resnet-0027.params" | |
| 2016-05-03 16:38:03,292 Node[0] Epoch[26] Validation-accuracy=0.823317 | |
| 2016-05-03 16:38:13,513 Node[0] Epoch[27] Batch [50] Speed: 629.46 samples/sec Train-accuracy=0.882031 | |
| 2016-05-03 16:38:23,669 Node[0] Epoch[27] Batch [100] Speed: 630.22 samples/sec Train-accuracy=0.887656 | |
| 2016-05-03 16:38:33,791 Node[0] Epoch[27] Batch [150] Speed: 632.31 samples/sec Train-accuracy=0.895312 | |
| 2016-05-03 16:38:43,938 Node[0] Epoch[27] Batch [200] Speed: 630.76 samples/sec Train-accuracy=0.887813 | |
| 2016-05-03 16:38:54,072 Node[0] Epoch[27] Batch [250] Speed: 631.55 samples/sec Train-accuracy=0.888125 | |
| 2016-05-03 16:39:04,171 Node[0] Epoch[27] Batch [300] Speed: 633.75 samples/sec Train-accuracy=0.887344 | |
| 2016-05-03 16:39:14,286 Node[0] Epoch[27] Batch [350] Speed: 632.68 samples/sec Train-accuracy=0.889687 | |
| 2016-05-03 16:39:22,556 Node[0] Epoch[27] Resetting Data Iterator | |
| 2016-05-03 16:39:22,556 Node[0] Epoch[27] Time cost=79.264 | |
| 2016-05-03 16:39:22,716 Node[0] Saved checkpoint to "cifar10/resnet-0028.params" | |
| 2016-05-03 16:39:24,666 Node[0] Epoch[27] Validation-accuracy=0.839143 | |
| 2016-05-03 16:39:34,829 Node[0] Epoch[28] Batch [50] Speed: 633.07 samples/sec Train-accuracy=0.891406 | |
| 2016-05-03 16:39:44,950 Node[0] Epoch[28] Batch [100] Speed: 632.35 samples/sec Train-accuracy=0.891094 | |
| 2016-05-03 16:39:55,042 Node[0] Epoch[28] Batch [150] Speed: 634.22 samples/sec Train-accuracy=0.892031 | |
| 2016-05-03 16:40:05,179 Node[0] Epoch[28] Batch [200] Speed: 631.39 samples/sec Train-accuracy=0.892813 | |
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| 2016-05-03 16:40:25,430 Node[0] Epoch[28] Batch [300] Speed: 632.57 samples/sec Train-accuracy=0.888437 | |
| 2016-05-03 16:40:35,559 Node[0] Epoch[28] Batch [350] Speed: 631.88 samples/sec Train-accuracy=0.896875 | |
| 2016-05-03 16:40:43,859 Node[0] Epoch[28] Resetting Data Iterator | |
| 2016-05-03 16:40:43,860 Node[0] Epoch[28] Time cost=79.194 | |
| 2016-05-03 16:40:44,023 Node[0] Saved checkpoint to "cifar10/resnet-0029.params" | |
| 2016-05-03 16:40:45,915 Node[0] Epoch[28] Validation-accuracy=0.819010 | |
| 2016-05-03 16:40:56,094 Node[0] Epoch[29] Batch [50] Speed: 632.10 samples/sec Train-accuracy=0.896406 | |
| 2016-05-03 16:41:06,177 Node[0] Epoch[29] Batch [100] Speed: 634.69 samples/sec Train-accuracy=0.892656 | |
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| 2016-05-03 16:41:26,371 Node[0] Epoch[29] Batch [200] Speed: 632.25 samples/sec Train-accuracy=0.884531 | |
| 2016-05-03 16:41:36,516 Node[0] Epoch[29] Batch [250] Speed: 630.86 samples/sec Train-accuracy=0.889219 | |
| 2016-05-03 16:41:46,637 Node[0] Epoch[29] Batch [300] Speed: 632.40 samples/sec Train-accuracy=0.896875 | |
| 2016-05-03 16:41:56,757 Node[0] Epoch[29] Batch [350] Speed: 632.41 samples/sec Train-accuracy=0.899844 | |
| 2016-05-03 16:42:04,817 Node[0] Epoch[29] Resetting Data Iterator | |
| 2016-05-03 16:42:04,818 Node[0] Epoch[29] Time cost=78.902 | |
| 2016-05-03 16:42:04,977 Node[0] Saved checkpoint to "cifar10/resnet-0030.params" | |
| 2016-05-03 16:42:06,883 Node[0] Epoch[29] Validation-accuracy=0.838542 | |
| 2016-05-03 16:42:16,991 Node[0] Epoch[30] Batch [50] Speed: 636.45 samples/sec Train-accuracy=0.887813 | |
| 2016-05-03 16:42:27,054 Node[0] Epoch[30] Batch [100] Speed: 636.02 samples/sec Train-accuracy=0.891250 | |
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| 2016-05-03 16:42:47,185 Node[0] Epoch[30] Batch [200] Speed: 633.49 samples/sec Train-accuracy=0.894687 | |
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| 2016-05-03 16:43:07,352 Node[0] Epoch[30] Batch [300] Speed: 633.44 samples/sec Train-accuracy=0.900156 | |
| 2016-05-03 16:43:17,429 Node[0] Epoch[30] Batch [350] Speed: 635.14 samples/sec Train-accuracy=0.883281 | |
| 2016-05-03 16:43:25,674 Node[0] Epoch[30] Resetting Data Iterator | |
| 2016-05-03 16:43:25,674 Node[0] Epoch[30] Time cost=78.790 | |
| 2016-05-03 16:43:25,833 Node[0] Saved checkpoint to "cifar10/resnet-0031.params" | |
| 2016-05-03 16:43:27,772 Node[0] Epoch[30] Validation-accuracy=0.820813 | |
| 2016-05-03 16:43:37,887 Node[0] Epoch[31] Batch [50] Speed: 636.13 samples/sec Train-accuracy=0.896719 | |
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| 2016-05-03 16:43:58,152 Node[0] Epoch[31] Batch [150] Speed: 634.89 samples/sec Train-accuracy=0.900937 | |
| 2016-05-03 16:44:08,232 Node[0] Epoch[31] Batch [200] Speed: 634.91 samples/sec Train-accuracy=0.899687 | |
| 2016-05-03 16:44:18,301 Node[0] Epoch[31] Batch [250] Speed: 635.66 samples/sec Train-accuracy=0.894687 | |
| 2016-05-03 16:44:28,454 Node[0] Epoch[31] Batch [300] Speed: 630.34 samples/sec Train-accuracy=0.895000 | |
| 2016-05-03 16:44:38,592 Node[0] Epoch[31] Batch [350] Speed: 631.32 samples/sec Train-accuracy=0.893437 | |
| 2016-05-03 16:44:46,721 Node[0] Epoch[31] Resetting Data Iterator | |
| 2016-05-03 16:44:46,721 Node[0] Epoch[31] Time cost=78.949 | |
| 2016-05-03 16:44:46,878 Node[0] Saved checkpoint to "cifar10/resnet-0032.params" | |
| 2016-05-03 16:44:48,752 Node[0] Epoch[31] Validation-accuracy=0.824619 | |
| 2016-05-03 16:44:58,788 Node[0] Epoch[32] Batch [50] Speed: 641.12 samples/sec Train-accuracy=0.901563 | |
| 2016-05-03 16:45:08,902 Node[0] Epoch[32] Batch [100] Speed: 632.83 samples/sec Train-accuracy=0.901250 | |
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| 2016-05-03 16:45:59,594 Node[0] Epoch[32] Batch [350] Speed: 630.47 samples/sec Train-accuracy=0.900000 | |
| 2016-05-03 16:46:07,870 Node[0] Epoch[32] Resetting Data Iterator | |
| 2016-05-03 16:46:07,870 Node[0] Epoch[32] Time cost=79.117 | |
| 2016-05-03 16:46:08,025 Node[0] Saved checkpoint to "cifar10/resnet-0033.params" | |
| 2016-05-03 16:46:10,104 Node[0] Epoch[32] Validation-accuracy=0.826741 | |
| 2016-05-03 16:46:20,237 Node[0] Epoch[33] Batch [50] Speed: 635.09 samples/sec Train-accuracy=0.895938 | |
| 2016-05-03 16:46:30,373 Node[0] Epoch[33] Batch [100] Speed: 631.42 samples/sec Train-accuracy=0.900000 | |
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| 2016-05-03 16:47:21,025 Node[0] Epoch[33] Batch [350] Speed: 632.49 samples/sec Train-accuracy=0.900000 | |
| 2016-05-03 16:47:29,323 Node[0] Epoch[33] Resetting Data Iterator | |
| 2016-05-03 16:47:29,323 Node[0] Epoch[33] Time cost=79.219 | |
| 2016-05-03 16:47:29,480 Node[0] Saved checkpoint to "cifar10/resnet-0034.params" | |
| 2016-05-03 16:47:31,401 Node[0] Epoch[33] Validation-accuracy=0.839343 | |
| 2016-05-03 16:47:41,527 Node[0] Epoch[34] Batch [50] Speed: 635.39 samples/sec Train-accuracy=0.895938 | |
| 2016-05-03 16:47:51,639 Node[0] Epoch[34] Batch [100] Speed: 632.88 samples/sec Train-accuracy=0.902188 | |
| 2016-05-03 16:48:01,777 Node[0] Epoch[34] Batch [150] Speed: 631.35 samples/sec Train-accuracy=0.913906 | |
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| 2016-05-03 16:48:32,074 Node[0] Epoch[34] Batch [300] Speed: 634.10 samples/sec Train-accuracy=0.897813 | |
| 2016-05-03 16:48:42,107 Node[0] Epoch[34] Batch [350] Speed: 637.92 samples/sec Train-accuracy=0.902344 | |
| 2016-05-03 16:48:50,161 Node[0] Epoch[34] Resetting Data Iterator | |
| 2016-05-03 16:48:50,161 Node[0] Epoch[34] Time cost=78.760 | |
| 2016-05-03 16:48:50,318 Node[0] Saved checkpoint to "cifar10/resnet-0035.params" | |
| 2016-05-03 16:48:52,246 Node[0] Epoch[34] Validation-accuracy=0.834836 | |
| 2016-05-03 16:49:02,361 Node[0] Epoch[35] Batch [50] Speed: 636.13 samples/sec Train-accuracy=0.898594 | |
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| 2016-05-03 16:49:52,744 Node[0] Epoch[35] Batch [300] Speed: 637.50 samples/sec Train-accuracy=0.907031 | |
| 2016-05-03 16:50:02,801 Node[0] Epoch[35] Batch [350] Speed: 636.42 samples/sec Train-accuracy=0.904062 | |
| 2016-05-03 16:50:11,053 Node[0] Epoch[35] Resetting Data Iterator | |
| 2016-05-03 16:50:11,054 Node[0] Epoch[35] Time cost=78.807 | |
| 2016-05-03 16:50:11,211 Node[0] Saved checkpoint to "cifar10/resnet-0036.params" | |
| 2016-05-03 16:50:13,105 Node[0] Epoch[35] Validation-accuracy=0.839944 | |
| 2016-05-03 16:50:23,192 Node[0] Epoch[36] Batch [50] Speed: 637.82 samples/sec Train-accuracy=0.904531 | |
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| 2016-05-03 16:51:23,823 Node[0] Epoch[36] Batch [350] Speed: 633.85 samples/sec Train-accuracy=0.903906 | |
| 2016-05-03 16:51:32,087 Node[0] Epoch[36] Resetting Data Iterator | |
| 2016-05-03 16:51:32,087 Node[0] Epoch[36] Time cost=78.982 | |
| 2016-05-03 16:51:32,243 Node[0] Saved checkpoint to "cifar10/resnet-0037.params" | |
| 2016-05-03 16:51:34,138 Node[0] Epoch[36] Validation-accuracy=0.838642 | |
| 2016-05-03 16:51:44,332 Node[0] Epoch[37] Batch [50] Speed: 631.10 samples/sec Train-accuracy=0.905625 | |
| 2016-05-03 16:51:54,470 Node[0] Epoch[37] Batch [100] Speed: 631.30 samples/sec Train-accuracy=0.906719 | |
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| 2016-05-03 16:52:14,748 Node[0] Epoch[37] Batch [200] Speed: 631.33 samples/sec Train-accuracy=0.903594 | |
| 2016-05-03 16:52:24,831 Node[0] Epoch[37] Batch [250] Speed: 634.75 samples/sec Train-accuracy=0.906094 | |
| 2016-05-03 16:52:34,950 Node[0] Epoch[37] Batch [300] Speed: 632.51 samples/sec Train-accuracy=0.909687 | |
| 2016-05-03 16:52:45,092 Node[0] Epoch[37] Batch [350] Speed: 631.01 samples/sec Train-accuracy=0.906406 | |
| 2016-05-03 16:52:53,158 Node[0] Epoch[37] Resetting Data Iterator | |
| 2016-05-03 16:52:53,158 Node[0] Epoch[37] Time cost=79.020 | |
| 2016-05-03 16:52:53,315 Node[0] Saved checkpoint to "cifar10/resnet-0038.params" | |
| 2016-05-03 16:52:55,253 Node[0] Epoch[37] Validation-accuracy=0.850160 | |
| 2016-05-03 16:53:05,397 Node[0] Epoch[38] Batch [50] Speed: 634.20 samples/sec Train-accuracy=0.904531 | |
| 2016-05-03 16:53:15,565 Node[0] Epoch[38] Batch [100] Speed: 629.40 samples/sec Train-accuracy=0.913906 | |
| 2016-05-03 16:53:25,672 Node[0] Epoch[38] Batch [150] Speed: 633.27 samples/sec Train-accuracy=0.912500 | |
| 2016-05-03 16:53:35,792 Node[0] Epoch[38] Batch [200] Speed: 632.42 samples/sec Train-accuracy=0.907031 | |
| 2016-05-03 16:53:45,920 Node[0] Epoch[38] Batch [250] Speed: 631.95 samples/sec Train-accuracy=0.907813 | |
| 2016-05-03 16:53:55,996 Node[0] Epoch[38] Batch [300] Speed: 635.19 samples/sec Train-accuracy=0.904062 | |
| 2016-05-03 16:54:06,100 Node[0] Epoch[38] Batch [350] Speed: 633.45 samples/sec Train-accuracy=0.903125 | |
| 2016-05-03 16:54:14,375 Node[0] Epoch[38] Resetting Data Iterator | |
| 2016-05-03 16:54:14,375 Node[0] Epoch[38] Time cost=79.122 | |
| 2016-05-03 16:54:14,532 Node[0] Saved checkpoint to "cifar10/resnet-0039.params" | |
| 2016-05-03 16:54:16,433 Node[0] Epoch[38] Validation-accuracy=0.847656 | |
| 2016-05-03 16:54:26,484 Node[0] Epoch[39] Batch [50] Speed: 640.21 samples/sec Train-accuracy=0.909531 | |
| 2016-05-03 16:54:36,632 Node[0] Epoch[39] Batch [100] Speed: 630.63 samples/sec Train-accuracy=0.907344 | |
| 2016-05-03 16:54:46,710 Node[0] Epoch[39] Batch [150] Speed: 635.09 samples/sec Train-accuracy=0.911406 | |
| 2016-05-03 16:54:56,807 Node[0] Epoch[39] Batch [200] Speed: 633.88 samples/sec Train-accuracy=0.904219 | |
| 2016-05-03 16:55:06,887 Node[0] Epoch[39] Batch [250] Speed: 634.93 samples/sec Train-accuracy=0.911250 | |
| 2016-05-03 16:55:17,008 Node[0] Epoch[39] Batch [300] Speed: 632.38 samples/sec Train-accuracy=0.913281 | |
| 2016-05-03 16:55:27,080 Node[0] Epoch[39] Batch [350] Speed: 635.39 samples/sec Train-accuracy=0.907188 | |
| 2016-05-03 16:55:35,136 Node[0] Epoch[39] Resetting Data Iterator | |
| 2016-05-03 16:55:35,136 Node[0] Epoch[39] Time cost=78.702 | |
| 2016-05-03 16:55:35,290 Node[0] Saved checkpoint to "cifar10/resnet-0040.params" | |
| 2016-05-03 16:55:37,176 Node[0] Epoch[39] Validation-accuracy=0.816707 | |
| 2016-05-03 16:55:47,220 Node[0] Epoch[40] Batch [50] Speed: 640.53 samples/sec Train-accuracy=0.911094 | |
| 2016-05-03 16:55:57,361 Node[0] Epoch[40] Batch [100] Speed: 631.08 samples/sec Train-accuracy=0.908438 | |
| 2016-05-03 16:56:07,478 Node[0] Epoch[40] Batch [150] Speed: 632.66 samples/sec Train-accuracy=0.912031 | |
| 2016-05-03 16:56:17,585 Node[0] Epoch[40] Batch [200] Speed: 633.21 samples/sec Train-accuracy=0.907344 | |
| 2016-05-03 16:56:27,703 Node[0] Epoch[40] Batch [250] Speed: 632.54 samples/sec Train-accuracy=0.904531 | |
| 2016-05-03 16:56:37,847 Node[0] Epoch[40] Batch [300] Speed: 630.93 samples/sec Train-accuracy=0.913438 | |
| 2016-05-03 16:56:47,972 Node[0] Epoch[40] Batch [350] Speed: 632.17 samples/sec Train-accuracy=0.909844 | |
| 2016-05-03 16:56:56,236 Node[0] Epoch[40] Resetting Data Iterator | |
| 2016-05-03 16:56:56,236 Node[0] Epoch[40] Time cost=79.061 | |
| 2016-05-03 16:56:56,395 Node[0] Saved checkpoint to "cifar10/resnet-0041.params" | |
| 2016-05-03 16:56:58,476 Node[0] Epoch[40] Validation-accuracy=0.840091 | |
| 2016-05-03 16:57:08,596 Node[0] Epoch[41] Batch [50] Speed: 635.69 samples/sec Train-accuracy=0.911563 | |
| 2016-05-03 16:57:18,729 Node[0] Epoch[41] Batch [100] Speed: 631.57 samples/sec Train-accuracy=0.910937 | |
| 2016-05-03 16:57:28,828 Node[0] Epoch[41] Batch [150] Speed: 633.76 samples/sec Train-accuracy=0.912344 | |
| 2016-05-03 16:57:38,924 Node[0] Epoch[41] Batch [200] Speed: 633.91 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 16:57:48,935 Node[0] Epoch[41] Batch [250] Speed: 639.33 samples/sec Train-accuracy=0.909687 | |
| 2016-05-03 16:57:58,940 Node[0] Epoch[41] Batch [300] Speed: 639.73 samples/sec Train-accuracy=0.912188 | |
| 2016-05-03 16:58:09,002 Node[0] Epoch[41] Batch [350] Speed: 636.08 samples/sec Train-accuracy=0.910469 | |
| 2016-05-03 16:58:17,238 Node[0] Epoch[41] Resetting Data Iterator | |
| 2016-05-03 16:58:17,238 Node[0] Epoch[41] Time cost=78.762 | |
| 2016-05-03 16:58:17,403 Node[0] Saved checkpoint to "cifar10/resnet-0042.params" | |
| 2016-05-03 16:58:19,302 Node[0] Epoch[41] Validation-accuracy=0.845152 | |
| 2016-05-03 16:58:29,424 Node[0] Epoch[42] Batch [50] Speed: 635.68 samples/sec Train-accuracy=0.904531 | |
| 2016-05-03 16:58:39,544 Node[0] Epoch[42] Batch [100] Speed: 632.44 samples/sec Train-accuracy=0.911875 | |
| 2016-05-03 16:58:49,665 Node[0] Epoch[42] Batch [150] Speed: 632.40 samples/sec Train-accuracy=0.910781 | |
| 2016-05-03 16:58:59,777 Node[0] Epoch[42] Batch [200] Speed: 632.88 samples/sec Train-accuracy=0.908281 | |
| 2016-05-03 16:59:09,901 Node[0] Epoch[42] Batch [250] Speed: 632.22 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 16:59:20,038 Node[0] Epoch[42] Batch [300] Speed: 631.37 samples/sec Train-accuracy=0.917969 | |
| 2016-05-03 16:59:30,156 Node[0] Epoch[42] Batch [350] Speed: 632.55 samples/sec Train-accuracy=0.911406 | |
| 2016-05-03 16:59:38,254 Node[0] Epoch[42] Resetting Data Iterator | |
| 2016-05-03 16:59:38,254 Node[0] Epoch[42] Time cost=78.952 | |
| 2016-05-03 16:59:38,413 Node[0] Saved checkpoint to "cifar10/resnet-0043.params" | |
| 2016-05-03 16:59:40,314 Node[0] Epoch[42] Validation-accuracy=0.829026 | |
| 2016-05-03 16:59:50,415 Node[0] Epoch[43] Batch [50] Speed: 636.99 samples/sec Train-accuracy=0.908750 | |
| 2016-05-03 17:00:00,537 Node[0] Epoch[43] Batch [100] Speed: 632.35 samples/sec Train-accuracy=0.912031 | |
| 2016-05-03 17:00:10,650 Node[0] Epoch[43] Batch [150] Speed: 632.83 samples/sec Train-accuracy=0.920000 | |
| 2016-05-03 17:00:20,753 Node[0] Epoch[43] Batch [200] Speed: 633.50 samples/sec Train-accuracy=0.916094 | |
| 2016-05-03 17:00:30,876 Node[0] Epoch[43] Batch [250] Speed: 632.27 samples/sec Train-accuracy=0.913281 | |
| 2016-05-03 17:00:40,990 Node[0] Epoch[43] Batch [300] Speed: 632.81 samples/sec Train-accuracy=0.915781 | |
| 2016-05-03 17:00:51,060 Node[0] Epoch[43] Batch [350] Speed: 635.54 samples/sec Train-accuracy=0.913125 | |
| 2016-05-03 17:00:59,326 Node[0] Epoch[43] Resetting Data Iterator | |
| 2016-05-03 17:00:59,327 Node[0] Epoch[43] Time cost=79.012 | |
| 2016-05-03 17:00:59,485 Node[0] Saved checkpoint to "cifar10/resnet-0044.params" | |
| 2016-05-03 17:01:01,432 Node[0] Epoch[43] Validation-accuracy=0.841947 | |
| 2016-05-03 17:01:11,593 Node[0] Epoch[44] Batch [50] Speed: 633.18 samples/sec Train-accuracy=0.910312 | |
| 2016-05-03 17:01:21,740 Node[0] Epoch[44] Batch [100] Speed: 630.75 samples/sec Train-accuracy=0.915312 | |
| 2016-05-03 17:01:31,850 Node[0] Epoch[44] Batch [150] Speed: 633.04 samples/sec Train-accuracy=0.921562 | |
| 2016-05-03 17:01:41,948 Node[0] Epoch[44] Batch [200] Speed: 633.83 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 17:01:52,038 Node[0] Epoch[44] Batch [250] Speed: 634.29 samples/sec Train-accuracy=0.912969 | |
| 2016-05-03 17:02:02,206 Node[0] Epoch[44] Batch [300] Speed: 629.44 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 17:02:12,357 Node[0] Epoch[44] Batch [350] Speed: 630.52 samples/sec Train-accuracy=0.917188 | |
| 2016-05-03 17:02:20,629 Node[0] Epoch[44] Resetting Data Iterator | |
| 2016-05-03 17:02:20,629 Node[0] Epoch[44] Time cost=79.197 | |
| 2016-05-03 17:02:20,787 Node[0] Saved checkpoint to "cifar10/resnet-0045.params" | |
| 2016-05-03 17:02:22,735 Node[0] Epoch[44] Validation-accuracy=0.838341 | |
| 2016-05-03 17:02:32,785 Node[0] Epoch[45] Batch [50] Speed: 640.11 samples/sec Train-accuracy=0.909062 | |
| 2016-05-03 17:02:42,911 Node[0] Epoch[45] Batch [100] Speed: 632.02 samples/sec Train-accuracy=0.918594 | |
| 2016-05-03 17:02:53,049 Node[0] Epoch[45] Batch [150] Speed: 631.30 samples/sec Train-accuracy=0.917656 | |
| 2016-05-03 17:03:03,183 Node[0] Epoch[45] Batch [200] Speed: 631.59 samples/sec Train-accuracy=0.910781 | |
| 2016-05-03 17:03:13,322 Node[0] Epoch[45] Batch [250] Speed: 631.24 samples/sec Train-accuracy=0.915781 | |
| 2016-05-03 17:03:23,448 Node[0] Epoch[45] Batch [300] Speed: 632.03 samples/sec Train-accuracy=0.916250 | |
| 2016-05-03 17:03:33,525 Node[0] Epoch[45] Batch [350] Speed: 635.13 samples/sec Train-accuracy=0.918906 | |
| 2016-05-03 17:03:41,621 Node[0] Epoch[45] Resetting Data Iterator | |
| 2016-05-03 17:03:41,621 Node[0] Epoch[45] Time cost=78.886 | |
| 2016-05-03 17:03:41,783 Node[0] Saved checkpoint to "cifar10/resnet-0046.params" | |
| 2016-05-03 17:03:43,705 Node[0] Epoch[45] Validation-accuracy=0.836238 | |
| 2016-05-03 17:03:53,807 Node[0] Epoch[46] Batch [50] Speed: 637.03 samples/sec Train-accuracy=0.912500 | |
| 2016-05-03 17:04:03,916 Node[0] Epoch[46] Batch [100] Speed: 633.13 samples/sec Train-accuracy=0.917188 | |
| 2016-05-03 17:04:14,001 Node[0] Epoch[46] Batch [150] Speed: 634.59 samples/sec Train-accuracy=0.925469 | |
| 2016-05-03 17:04:24,074 Node[0] Epoch[46] Batch [200] Speed: 635.42 samples/sec Train-accuracy=0.917344 | |
| 2016-05-03 17:04:34,231 Node[0] Epoch[46] Batch [250] Speed: 630.10 samples/sec Train-accuracy=0.915312 | |
| 2016-05-03 17:04:44,317 Node[0] Epoch[46] Batch [300] Speed: 634.59 samples/sec Train-accuracy=0.913281 | |
| 2016-05-03 17:04:54,447 Node[0] Epoch[46] Batch [350] Speed: 631.76 samples/sec Train-accuracy=0.911094 | |
| 2016-05-03 17:05:02,703 Node[0] Epoch[46] Resetting Data Iterator | |
| 2016-05-03 17:05:02,703 Node[0] Epoch[46] Time cost=78.998 | |
| 2016-05-03 17:05:02,864 Node[0] Saved checkpoint to "cifar10/resnet-0047.params" | |
| 2016-05-03 17:05:04,803 Node[0] Epoch[46] Validation-accuracy=0.815304 | |
| 2016-05-03 17:05:14,943 Node[0] Epoch[47] Batch [50] Speed: 634.46 samples/sec Train-accuracy=0.912813 | |
| 2016-05-03 17:05:25,144 Node[0] Epoch[47] Batch [100] Speed: 627.41 samples/sec Train-accuracy=0.920000 | |
| 2016-05-03 17:05:35,272 Node[0] Epoch[47] Batch [150] Speed: 631.91 samples/sec Train-accuracy=0.913594 | |
| 2016-05-03 17:05:45,371 Node[0] Epoch[47] Batch [200] Speed: 633.75 samples/sec Train-accuracy=0.910781 | |
| 2016-05-03 17:05:55,469 Node[0] Epoch[47] Batch [250] Speed: 633.81 samples/sec Train-accuracy=0.914375 | |
| 2016-05-03 17:06:05,610 Node[0] Epoch[47] Batch [300] Speed: 631.11 samples/sec Train-accuracy=0.918281 | |
| 2016-05-03 17:06:15,688 Node[0] Epoch[47] Batch [350] Speed: 635.09 samples/sec Train-accuracy=0.915937 | |
| 2016-05-03 17:06:23,763 Node[0] Epoch[47] Resetting Data Iterator | |
| 2016-05-03 17:06:23,763 Node[0] Epoch[47] Time cost=78.960 | |
| 2016-05-03 17:06:23,923 Node[0] Saved checkpoint to "cifar10/resnet-0048.params" | |
| 2016-05-03 17:06:25,838 Node[0] Epoch[47] Validation-accuracy=0.844351 | |
| 2016-05-03 17:06:36,010 Node[0] Epoch[48] Batch [50] Speed: 632.69 samples/sec Train-accuracy=0.915625 | |
| 2016-05-03 17:06:46,107 Node[0] Epoch[48] Batch [100] Speed: 633.82 samples/sec Train-accuracy=0.918750 | |
| 2016-05-03 17:06:56,231 Node[0] Epoch[48] Batch [150] Speed: 632.18 samples/sec Train-accuracy=0.922656 | |
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| 2016-05-03 17:07:16,436 Node[0] Epoch[48] Batch [250] Speed: 631.52 samples/sec Train-accuracy=0.916719 | |
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| 2016-05-03 17:07:36,645 Node[0] Epoch[48] Batch [350] Speed: 634.51 samples/sec Train-accuracy=0.916562 | |
| 2016-05-03 17:07:44,917 Node[0] Epoch[48] Resetting Data Iterator | |
| 2016-05-03 17:07:44,917 Node[0] Epoch[48] Time cost=79.078 | |
| 2016-05-03 17:07:45,083 Node[0] Saved checkpoint to "cifar10/resnet-0049.params" | |
| 2016-05-03 17:07:47,183 Node[0] Epoch[48] Validation-accuracy=0.854727 | |
| 2016-05-03 17:07:57,336 Node[0] Epoch[49] Batch [50] Speed: 633.72 samples/sec Train-accuracy=0.916719 | |
| 2016-05-03 17:08:07,493 Node[0] Epoch[49] Batch [100] Speed: 630.12 samples/sec Train-accuracy=0.920156 | |
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| 2016-05-03 17:08:47,957 Node[0] Epoch[49] Batch [300] Speed: 631.15 samples/sec Train-accuracy=0.919219 | |
| 2016-05-03 17:08:58,070 Node[0] Epoch[49] Batch [350] Speed: 632.83 samples/sec Train-accuracy=0.923906 | |
| 2016-05-03 17:09:06,363 Node[0] Epoch[49] Resetting Data Iterator | |
| 2016-05-03 17:09:06,363 Node[0] Epoch[49] Time cost=79.180 | |
| 2016-05-03 17:09:06,519 Node[0] Saved checkpoint to "cifar10/resnet-0050.params" | |
| 2016-05-03 17:09:08,423 Node[0] Epoch[49] Validation-accuracy=0.845152 | |
| 2016-05-03 17:09:18,509 Node[0] Epoch[50] Batch [50] Speed: 637.89 samples/sec Train-accuracy=0.917969 | |
| 2016-05-03 17:09:28,587 Node[0] Epoch[50] Batch [100] Speed: 635.09 samples/sec Train-accuracy=0.919531 | |
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| 2016-05-03 17:10:19,105 Node[0] Epoch[50] Batch [350] Speed: 633.95 samples/sec Train-accuracy=0.919063 | |
| 2016-05-03 17:10:27,209 Node[0] Epoch[50] Resetting Data Iterator | |
| 2016-05-03 17:10:27,209 Node[0] Epoch[50] Time cost=78.786 | |
| 2016-05-03 17:10:27,371 Node[0] Saved checkpoint to "cifar10/resnet-0051.params" | |
| 2016-05-03 17:10:29,298 Node[0] Epoch[50] Validation-accuracy=0.827424 | |
| 2016-05-03 17:10:39,333 Node[0] Epoch[51] Batch [50] Speed: 641.23 samples/sec Train-accuracy=0.912969 | |
| 2016-05-03 17:10:49,496 Node[0] Epoch[51] Batch [100] Speed: 629.69 samples/sec Train-accuracy=0.918281 | |
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| 2016-05-03 17:11:09,703 Node[0] Epoch[51] Batch [200] Speed: 632.24 samples/sec Train-accuracy=0.920937 | |
| 2016-05-03 17:11:19,796 Node[0] Epoch[51] Batch [250] Speed: 634.13 samples/sec Train-accuracy=0.922500 | |
| 2016-05-03 17:11:29,879 Node[0] Epoch[51] Batch [300] Speed: 634.71 samples/sec Train-accuracy=0.924531 | |
| 2016-05-03 17:11:39,940 Node[0] Epoch[51] Batch [350] Speed: 636.15 samples/sec Train-accuracy=0.927031 | |
| 2016-05-03 17:11:48,225 Node[0] Epoch[51] Resetting Data Iterator | |
| 2016-05-03 17:11:48,225 Node[0] Epoch[51] Time cost=78.927 | |
| 2016-05-03 17:11:48,383 Node[0] Saved checkpoint to "cifar10/resnet-0052.params" | |
| 2016-05-03 17:11:50,322 Node[0] Epoch[51] Validation-accuracy=0.825421 | |
| 2016-05-03 17:12:00,450 Node[0] Epoch[52] Batch [50] Speed: 635.24 samples/sec Train-accuracy=0.918906 | |
| 2016-05-03 17:12:10,575 Node[0] Epoch[52] Batch [100] Speed: 632.13 samples/sec Train-accuracy=0.919531 | |
| 2016-05-03 17:12:20,710 Node[0] Epoch[52] Batch [150] Speed: 631.46 samples/sec Train-accuracy=0.926094 | |
| 2016-05-03 17:12:30,883 Node[0] Epoch[52] Batch [200] Speed: 629.13 samples/sec Train-accuracy=0.917656 | |
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| 2016-05-03 17:12:51,129 Node[0] Epoch[52] Batch [300] Speed: 632.10 samples/sec Train-accuracy=0.921250 | |
| 2016-05-03 17:13:01,211 Node[0] Epoch[52] Batch [350] Speed: 634.82 samples/sec Train-accuracy=0.920781 | |
| 2016-05-03 17:13:09,497 Node[0] Epoch[52] Resetting Data Iterator | |
| 2016-05-03 17:13:09,497 Node[0] Epoch[52] Time cost=79.175 | |
| 2016-05-03 17:13:09,655 Node[0] Saved checkpoint to "cifar10/resnet-0053.params" | |
| 2016-05-03 17:13:11,575 Node[0] Epoch[52] Validation-accuracy=0.848057 | |
| 2016-05-03 17:13:21,719 Node[0] Epoch[53] Batch [50] Speed: 634.27 samples/sec Train-accuracy=0.919687 | |
| 2016-05-03 17:13:31,864 Node[0] Epoch[53] Batch [100] Speed: 630.89 samples/sec Train-accuracy=0.917656 | |
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| 2016-05-03 17:14:02,158 Node[0] Epoch[53] Batch [250] Speed: 632.66 samples/sec Train-accuracy=0.920625 | |
| 2016-05-03 17:14:12,245 Node[0] Epoch[53] Batch [300] Speed: 634.46 samples/sec Train-accuracy=0.928750 | |
| 2016-05-03 17:14:22,376 Node[0] Epoch[53] Batch [350] Speed: 631.78 samples/sec Train-accuracy=0.918281 | |
| 2016-05-03 17:14:30,431 Node[0] Epoch[53] Resetting Data Iterator | |
| 2016-05-03 17:14:30,431 Node[0] Epoch[53] Time cost=78.856 | |
| 2016-05-03 17:14:30,592 Node[0] Saved checkpoint to "cifar10/resnet-0054.params" | |
| 2016-05-03 17:14:32,512 Node[0] Epoch[53] Validation-accuracy=0.820112 | |
| 2016-05-03 17:14:42,623 Node[0] Epoch[54] Batch [50] Speed: 636.36 samples/sec Train-accuracy=0.919063 | |
| 2016-05-03 17:14:52,738 Node[0] Epoch[54] Batch [100] Speed: 632.75 samples/sec Train-accuracy=0.922813 | |
| 2016-05-03 17:15:02,852 Node[0] Epoch[54] Batch [150] Speed: 632.78 samples/sec Train-accuracy=0.927813 | |
| 2016-05-03 17:15:12,933 Node[0] Epoch[54] Batch [200] Speed: 634.84 samples/sec Train-accuracy=0.923594 | |
| 2016-05-03 17:15:23,016 Node[0] Epoch[54] Batch [250] Speed: 634.76 samples/sec Train-accuracy=0.922500 | |
| 2016-05-03 17:15:33,121 Node[0] Epoch[54] Batch [300] Speed: 633.40 samples/sec Train-accuracy=0.921406 | |
| 2016-05-03 17:15:43,197 Node[0] Epoch[54] Batch [350] Speed: 635.19 samples/sec Train-accuracy=0.922656 | |
| 2016-05-03 17:15:51,489 Node[0] Epoch[54] Resetting Data Iterator | |
| 2016-05-03 17:15:51,489 Node[0] Epoch[54] Time cost=78.977 | |
| 2016-05-03 17:15:51,648 Node[0] Saved checkpoint to "cifar10/resnet-0055.params" | |
| 2016-05-03 17:15:53,581 Node[0] Epoch[54] Validation-accuracy=0.845753 | |
| 2016-05-03 17:16:03,762 Node[0] Epoch[55] Batch [50] Speed: 631.94 samples/sec Train-accuracy=0.928438 | |
| 2016-05-03 17:16:13,890 Node[0] Epoch[55] Batch [100] Speed: 631.94 samples/sec Train-accuracy=0.927031 | |
| 2016-05-03 17:16:24,020 Node[0] Epoch[55] Batch [150] Speed: 631.81 samples/sec Train-accuracy=0.927188 | |
| 2016-05-03 17:16:34,145 Node[0] Epoch[55] Batch [200] Speed: 632.12 samples/sec Train-accuracy=0.915312 | |
| 2016-05-03 17:16:44,247 Node[0] Epoch[55] Batch [250] Speed: 633.58 samples/sec Train-accuracy=0.924219 | |
| 2016-05-03 17:16:54,318 Node[0] Epoch[55] Batch [300] Speed: 635.51 samples/sec Train-accuracy=0.924531 | |
| 2016-05-03 17:17:04,430 Node[0] Epoch[55] Batch [350] Speed: 632.94 samples/sec Train-accuracy=0.927188 | |
| 2016-05-03 17:17:12,535 Node[0] Epoch[55] Resetting Data Iterator | |
| 2016-05-03 17:17:12,536 Node[0] Epoch[55] Time cost=78.955 | |
| 2016-05-03 17:17:12,696 Node[0] Saved checkpoint to "cifar10/resnet-0056.params" | |
| 2016-05-03 17:17:14,617 Node[0] Epoch[55] Validation-accuracy=0.851262 | |
| 2016-05-03 17:17:24,745 Node[0] Epoch[56] Batch [50] Speed: 635.28 samples/sec Train-accuracy=0.925312 | |
| 2016-05-03 17:17:34,884 Node[0] Epoch[56] Batch [100] Speed: 631.29 samples/sec Train-accuracy=0.922031 | |
| 2016-05-03 17:17:45,019 Node[0] Epoch[56] Batch [150] Speed: 631.47 samples/sec Train-accuracy=0.923906 | |
| 2016-05-03 17:17:55,106 Node[0] Epoch[56] Batch [200] Speed: 634.51 samples/sec Train-accuracy=0.918281 | |
| 2016-05-03 17:18:05,204 Node[0] Epoch[56] Batch [250] Speed: 633.77 samples/sec Train-accuracy=0.920625 | |
| 2016-05-03 17:18:15,344 Node[0] Epoch[56] Batch [300] Speed: 631.21 samples/sec Train-accuracy=0.927813 | |
| 2016-05-03 17:18:25,441 Node[0] Epoch[56] Batch [350] Speed: 633.88 samples/sec Train-accuracy=0.924844 | |
| 2016-05-03 17:18:33,755 Node[0] Epoch[56] Resetting Data Iterator | |
| 2016-05-03 17:18:33,755 Node[0] Epoch[56] Time cost=79.138 | |
| 2016-05-03 17:18:33,914 Node[0] Saved checkpoint to "cifar10/resnet-0057.params" | |
| 2016-05-03 17:18:35,988 Node[0] Epoch[56] Validation-accuracy=0.856606 | |
| 2016-05-03 17:18:46,154 Node[0] Epoch[57] Batch [50] Speed: 632.97 samples/sec Train-accuracy=0.920937 | |
| 2016-05-03 17:18:56,315 Node[0] Epoch[57] Batch [100] Speed: 629.91 samples/sec Train-accuracy=0.927813 | |
| 2016-05-03 17:19:06,406 Node[0] Epoch[57] Batch [150] Speed: 634.24 samples/sec Train-accuracy=0.929844 | |
| 2016-05-03 17:19:16,519 Node[0] Epoch[57] Batch [200] Speed: 632.87 samples/sec Train-accuracy=0.923125 | |
| 2016-05-03 17:19:26,636 Node[0] Epoch[57] Batch [250] Speed: 632.62 samples/sec Train-accuracy=0.917031 | |
| 2016-05-03 17:19:36,732 Node[0] Epoch[57] Batch [300] Speed: 633.92 samples/sec Train-accuracy=0.921562 | |
| 2016-05-03 17:19:46,894 Node[0] Epoch[57] Batch [350] Speed: 629.83 samples/sec Train-accuracy=0.922813 | |
| 2016-05-03 17:19:55,172 Node[0] Epoch[57] Resetting Data Iterator | |
| 2016-05-03 17:19:55,173 Node[0] Epoch[57] Time cost=79.184 | |
| 2016-05-03 17:19:55,331 Node[0] Saved checkpoint to "cifar10/resnet-0058.params" | |
| 2016-05-03 17:19:57,234 Node[0] Epoch[57] Validation-accuracy=0.847556 | |
| 2016-05-03 17:20:07,320 Node[0] Epoch[58] Batch [50] Speed: 638.01 samples/sec Train-accuracy=0.923594 | |
| 2016-05-03 17:20:17,447 Node[0] Epoch[58] Batch [100] Speed: 631.98 samples/sec Train-accuracy=0.925000 | |
| 2016-05-03 17:20:27,613 Node[0] Epoch[58] Batch [150] Speed: 629.54 samples/sec Train-accuracy=0.927344 | |
| 2016-05-03 17:20:37,730 Node[0] Epoch[58] Batch [200] Speed: 632.63 samples/sec Train-accuracy=0.922344 | |
| 2016-05-03 17:20:47,851 Node[0] Epoch[58] Batch [250] Speed: 632.34 samples/sec Train-accuracy=0.920156 | |
| 2016-05-03 17:20:57,981 Node[0] Epoch[58] Batch [300] Speed: 631.80 samples/sec Train-accuracy=0.924844 | |
| 2016-05-03 17:21:08,118 Node[0] Epoch[58] Batch [350] Speed: 631.40 samples/sec Train-accuracy=0.924375 | |
| 2016-05-03 17:21:16,195 Node[0] Epoch[58] Resetting Data Iterator | |
| 2016-05-03 17:21:16,195 Node[0] Epoch[58] Time cost=78.960 | |
| 2016-05-03 17:21:16,353 Node[0] Saved checkpoint to "cifar10/resnet-0059.params" | |
| 2016-05-03 17:21:18,275 Node[0] Epoch[58] Validation-accuracy=0.841446 | |
| 2016-05-03 17:21:28,374 Node[0] Epoch[59] Batch [50] Speed: 637.09 samples/sec Train-accuracy=0.918438 | |
| 2016-05-03 17:21:38,497 Node[0] Epoch[59] Batch [100] Speed: 632.23 samples/sec Train-accuracy=0.922813 | |
| 2016-05-03 17:21:48,628 Node[0] Epoch[59] Batch [150] Speed: 631.71 samples/sec Train-accuracy=0.929219 | |
| 2016-05-03 17:21:58,764 Node[0] Epoch[59] Batch [200] Speed: 631.45 samples/sec Train-accuracy=0.928281 | |
| 2016-05-03 17:22:08,830 Node[0] Epoch[59] Batch [250] Speed: 635.82 samples/sec Train-accuracy=0.919531 | |
| 2016-05-03 17:22:18,918 Node[0] Epoch[59] Batch [300] Speed: 634.44 samples/sec Train-accuracy=0.926875 | |
| 2016-05-03 17:22:29,042 Node[0] Epoch[59] Batch [350] Speed: 632.16 samples/sec Train-accuracy=0.924219 | |
| 2016-05-03 17:22:37,327 Node[0] Epoch[59] Resetting Data Iterator | |
| 2016-05-03 17:22:37,327 Node[0] Epoch[59] Time cost=79.052 | |
| 2016-05-03 17:22:37,485 Node[0] Saved checkpoint to "cifar10/resnet-0060.params" | |
| 2016-05-03 17:22:39,397 Node[0] Epoch[59] Validation-accuracy=0.820613 | |
| 2016-05-03 17:22:49,531 Node[0] Epoch[60] Batch [50] Speed: 634.85 samples/sec Train-accuracy=0.927656 | |
| 2016-05-03 17:22:59,701 Node[0] Epoch[60] Batch [100] Speed: 629.32 samples/sec Train-accuracy=0.930000 | |
| 2016-05-03 17:23:09,802 Node[0] Epoch[60] Batch [150] Speed: 633.62 samples/sec Train-accuracy=0.924375 | |
| 2016-05-03 17:23:19,865 Node[0] Epoch[60] Batch [200] Speed: 636.00 samples/sec Train-accuracy=0.923125 | |
| 2016-05-03 17:23:29,987 Node[0] Epoch[60] Batch [250] Speed: 632.31 samples/sec Train-accuracy=0.927656 | |
| 2016-05-03 17:23:40,084 Node[0] Epoch[60] Batch [300] Speed: 633.85 samples/sec Train-accuracy=0.923750 | |
| 2016-05-03 17:23:50,183 Node[0] Epoch[60] Batch [350] Speed: 633.76 samples/sec Train-accuracy=0.930312 | |
| 2016-05-03 17:23:58,440 Node[0] Epoch[60] Resetting Data Iterator | |
| 2016-05-03 17:23:58,440 Node[0] Epoch[60] Time cost=79.043 | |
| 2016-05-03 17:23:58,599 Node[0] Saved checkpoint to "cifar10/resnet-0061.params" | |
| 2016-05-03 17:24:00,491 Node[0] Epoch[60] Validation-accuracy=0.833734 | |
| 2016-05-03 17:24:10,632 Node[0] Epoch[61] Batch [50] Speed: 634.50 samples/sec Train-accuracy=0.929063 | |
| 2016-05-03 17:24:20,757 Node[0] Epoch[61] Batch [100] Speed: 632.10 samples/sec Train-accuracy=0.922188 | |
| 2016-05-03 17:24:30,835 Node[0] Epoch[61] Batch [150] Speed: 635.07 samples/sec Train-accuracy=0.927969 | |
| 2016-05-03 17:24:40,926 Node[0] Epoch[61] Batch [200] Speed: 634.26 samples/sec Train-accuracy=0.924687 | |
| 2016-05-03 17:24:51,008 Node[0] Epoch[61] Batch [250] Speed: 634.82 samples/sec Train-accuracy=0.917500 | |
| 2016-05-03 17:25:01,097 Node[0] Epoch[61] Batch [300] Speed: 634.38 samples/sec Train-accuracy=0.925469 | |
| 2016-05-03 17:25:11,174 Node[0] Epoch[61] Batch [350] Speed: 635.12 samples/sec Train-accuracy=0.928906 | |
| 2016-05-03 17:25:19,255 Node[0] Epoch[61] Resetting Data Iterator | |
| 2016-05-03 17:25:19,255 Node[0] Epoch[61] Time cost=78.764 | |
| 2016-05-03 17:25:19,420 Node[0] Saved checkpoint to "cifar10/resnet-0062.params" | |
| 2016-05-03 17:25:21,369 Node[0] Epoch[61] Validation-accuracy=0.840244 | |
| 2016-05-03 17:25:31,482 Node[0] Epoch[62] Batch [50] Speed: 636.23 samples/sec Train-accuracy=0.923125 | |
| 2016-05-03 17:25:41,652 Node[0] Epoch[62] Batch [100] Speed: 629.32 samples/sec Train-accuracy=0.926406 | |
| 2016-05-03 17:25:51,740 Node[0] Epoch[62] Batch [150] Speed: 634.43 samples/sec Train-accuracy=0.926406 | |
| 2016-05-03 17:26:01,850 Node[0] Epoch[62] Batch [200] Speed: 633.11 samples/sec Train-accuracy=0.923750 | |
| 2016-05-03 17:26:12,015 Node[0] Epoch[62] Batch [250] Speed: 629.59 samples/sec Train-accuracy=0.924375 | |
| 2016-05-03 17:26:22,080 Node[0] Epoch[62] Batch [300] Speed: 635.91 samples/sec Train-accuracy=0.934531 | |
| 2016-05-03 17:26:32,220 Node[0] Epoch[62] Batch [350] Speed: 631.17 samples/sec Train-accuracy=0.926250 | |
| 2016-05-03 17:26:40,526 Node[0] Epoch[62] Resetting Data Iterator | |
| 2016-05-03 17:26:40,526 Node[0] Epoch[62] Time cost=79.157 | |
| 2016-05-03 17:26:40,687 Node[0] Saved checkpoint to "cifar10/resnet-0063.params" | |
| 2016-05-03 17:26:42,615 Node[0] Epoch[62] Validation-accuracy=0.847857 | |
| 2016-05-03 17:26:52,793 Node[0] Epoch[63] Batch [50] Speed: 632.13 samples/sec Train-accuracy=0.925000 | |
| 2016-05-03 17:27:02,915 Node[0] Epoch[63] Batch [100] Speed: 632.33 samples/sec Train-accuracy=0.935312 | |
| 2016-05-03 17:27:13,000 Node[0] Epoch[63] Batch [150] Speed: 634.64 samples/sec Train-accuracy=0.925000 | |
| 2016-05-03 17:27:23,074 Node[0] Epoch[63] Batch [200] Speed: 635.28 samples/sec Train-accuracy=0.921406 | |
| 2016-05-03 17:27:33,152 Node[0] Epoch[63] Batch [250] Speed: 635.08 samples/sec Train-accuracy=0.928125 | |
| 2016-05-03 17:27:43,281 Node[0] Epoch[63] Batch [300] Speed: 631.88 samples/sec Train-accuracy=0.929375 | |
| 2016-05-03 17:27:53,387 Node[0] Epoch[63] Batch [350] Speed: 633.30 samples/sec Train-accuracy=0.931406 | |
| 2016-05-03 17:28:01,466 Node[0] Epoch[63] Resetting Data Iterator | |
| 2016-05-03 17:28:01,466 Node[0] Epoch[63] Time cost=78.850 | |
| 2016-05-03 17:28:01,622 Node[0] Saved checkpoint to "cifar10/resnet-0064.params" | |
| 2016-05-03 17:28:03,537 Node[0] Epoch[63] Validation-accuracy=0.846755 | |
| 2016-05-03 17:28:13,734 Node[0] Epoch[64] Batch [50] Speed: 631.06 samples/sec Train-accuracy=0.922344 | |
| 2016-05-03 17:28:23,906 Node[0] Epoch[64] Batch [100] Speed: 629.20 samples/sec Train-accuracy=0.927813 | |
| 2016-05-03 17:28:34,019 Node[0] Epoch[64] Batch [150] Speed: 632.83 samples/sec Train-accuracy=0.930000 | |
| 2016-05-03 17:28:44,049 Node[0] Epoch[64] Batch [200] Speed: 638.12 samples/sec Train-accuracy=0.921875 | |
| 2016-05-03 17:28:54,051 Node[0] Epoch[64] Batch [250] Speed: 639.91 samples/sec Train-accuracy=0.925469 | |
| 2016-05-03 17:29:04,176 Node[0] Epoch[64] Batch [300] Speed: 632.10 samples/sec Train-accuracy=0.931094 | |
| 2016-05-03 17:29:14,309 Node[0] Epoch[64] Batch [350] Speed: 631.65 samples/sec Train-accuracy=0.920469 | |
| 2016-05-03 17:29:22,558 Node[0] Epoch[64] Resetting Data Iterator | |
| 2016-05-03 17:29:22,558 Node[0] Epoch[64] Time cost=79.020 | |
| 2016-05-03 17:29:22,714 Node[0] Saved checkpoint to "cifar10/resnet-0065.params" | |
| 2016-05-03 17:29:24,838 Node[0] Epoch[64] Validation-accuracy=0.841970 | |
| 2016-05-03 17:29:34,931 Node[0] Epoch[65] Batch [50] Speed: 637.43 samples/sec Train-accuracy=0.930156 | |
| 2016-05-03 17:29:45,007 Node[0] Epoch[65] Batch [100] Speed: 635.18 samples/sec Train-accuracy=0.931406 | |
| 2016-05-03 17:29:55,064 Node[0] Epoch[65] Batch [150] Speed: 636.38 samples/sec Train-accuracy=0.932344 | |
| 2016-05-03 17:30:05,113 Node[0] Epoch[65] Batch [200] Speed: 636.94 samples/sec Train-accuracy=0.928281 | |
| 2016-05-03 17:30:15,161 Node[0] Epoch[65] Batch [250] Speed: 636.94 samples/sec Train-accuracy=0.923438 | |
| 2016-05-03 17:30:25,230 Node[0] Epoch[65] Batch [300] Speed: 635.63 samples/sec Train-accuracy=0.927813 | |
| 2016-05-03 17:30:35,313 Node[0] Epoch[65] Batch [350] Speed: 634.74 samples/sec Train-accuracy=0.925781 | |
| 2016-05-03 17:30:43,561 Node[0] Epoch[65] Resetting Data Iterator | |
| 2016-05-03 17:30:43,562 Node[0] Epoch[65] Time cost=78.723 | |
| 2016-05-03 17:30:43,720 Node[0] Saved checkpoint to "cifar10/resnet-0066.params" | |
| 2016-05-03 17:30:45,619 Node[0] Epoch[65] Validation-accuracy=0.853666 | |
| 2016-05-03 17:30:55,676 Node[0] Epoch[66] Batch [50] Speed: 639.80 samples/sec Train-accuracy=0.930937 | |
| 2016-05-03 17:31:05,772 Node[0] Epoch[66] Batch [100] Speed: 633.92 samples/sec Train-accuracy=0.933750 | |
| 2016-05-03 17:31:15,816 Node[0] Epoch[66] Batch [150] Speed: 637.26 samples/sec Train-accuracy=0.934531 | |
| 2016-05-03 17:31:25,871 Node[0] Epoch[66] Batch [200] Speed: 636.49 samples/sec Train-accuracy=0.928906 | |
| 2016-05-03 17:31:35,917 Node[0] Epoch[66] Batch [250] Speed: 637.08 samples/sec Train-accuracy=0.930937 | |
| 2016-05-03 17:31:45,947 Node[0] Epoch[66] Batch [300] Speed: 638.13 samples/sec Train-accuracy=0.923594 | |
| 2016-05-03 17:31:56,033 Node[0] Epoch[66] Batch [350] Speed: 634.54 samples/sec Train-accuracy=0.927656 | |
| 2016-05-03 17:32:04,113 Node[0] Epoch[66] Resetting Data Iterator | |
| 2016-05-03 17:32:04,114 Node[0] Epoch[66] Time cost=78.495 | |
| 2016-05-03 17:32:04,271 Node[0] Saved checkpoint to "cifar10/resnet-0067.params" | |
| 2016-05-03 17:32:06,200 Node[0] Epoch[66] Validation-accuracy=0.866587 | |
| 2016-05-03 17:32:16,270 Node[0] Epoch[67] Batch [50] Speed: 638.98 samples/sec Train-accuracy=0.931562 | |
| 2016-05-03 17:32:26,311 Node[0] Epoch[67] Batch [100] Speed: 637.39 samples/sec Train-accuracy=0.923438 | |
| 2016-05-03 17:32:36,312 Node[0] Epoch[67] Batch [150] Speed: 639.96 samples/sec Train-accuracy=0.929063 | |
| 2016-05-03 17:32:46,331 Node[0] Epoch[67] Batch [200] Speed: 638.76 samples/sec Train-accuracy=0.924687 | |
| 2016-05-03 17:33:01,756 Node[0] start with arguments Namespace(batch_size=128, data_dir='cifar10/', gpus='0', kv_store='local', load_epoch=None, log_dir='cifar10', log_file='log', lr=0.1, model_prefix=None, num_epochs=200, num_examples=50000, save_model_prefix='cifar10/resnet') | |
| 2016-05-03 17:33:02,143 Node[0] Start training with [gpu(0)] | |
| 2016-05-03 17:33:23,058 Node[0] Epoch[0] Batch [50] Speed: 655.92 samples/sec Train-accuracy=0.099844 | |
| 2016-05-03 17:33:32,960 Node[0] Epoch[0] Batch [100] Speed: 646.32 samples/sec Train-accuracy=0.108594 | |
| 2016-05-03 17:33:42,859 Node[0] Epoch[0] Batch [150] Speed: 646.57 samples/sec Train-accuracy=0.112656 | |
| 2016-05-03 17:33:52,891 Node[0] Epoch[0] Batch [200] Speed: 637.94 samples/sec Train-accuracy=0.154062 | |
| 2016-05-03 17:34:03,398 Node[0] Epoch[0] Batch [250] Speed: 609.14 samples/sec Train-accuracy=0.184219 | |
| 2016-05-03 17:34:14,030 Node[0] Epoch[0] Batch [300] Speed: 601.96 samples/sec Train-accuracy=0.250937 | |
| 2016-05-03 17:34:24,598 Node[0] Epoch[0] Batch [350] Speed: 605.63 samples/sec Train-accuracy=0.299531 | |
| 2016-05-03 17:34:33,271 Node[0] Epoch[0] Resetting Data Iterator | |
| 2016-05-03 17:34:33,271 Node[0] Epoch[0] Time cost=80.247 | |
| 2016-05-03 17:34:33,438 Node[0] Saved checkpoint to "cifar10/resnet-0001.params" | |
| 2016-05-03 17:34:35,638 Node[0] Epoch[0] Validation-accuracy=0.338113 | |
| 2016-05-03 17:34:46,058 Node[0] Epoch[1] Batch [50] Speed: 617.44 samples/sec Train-accuracy=0.351875 | |
| 2016-05-03 17:34:56,460 Node[0] Epoch[1] Batch [100] Speed: 615.31 samples/sec Train-accuracy=0.388281 | |
| 2016-05-03 17:35:06,895 Node[0] Epoch[1] Batch [150] Speed: 613.31 samples/sec Train-accuracy=0.416094 | |
| 2016-05-03 17:35:17,302 Node[0] Epoch[1] Batch [200] Speed: 615.01 samples/sec Train-accuracy=0.435156 | |
| 2016-05-03 17:35:27,657 Node[0] Epoch[1] Batch [250] Speed: 618.08 samples/sec Train-accuracy=0.455000 | |
| 2016-05-03 17:35:38,036 Node[0] Epoch[1] Batch [300] Speed: 616.63 samples/sec Train-accuracy=0.478594 | |
| 2016-05-03 17:35:48,305 Node[0] Epoch[1] Batch [350] Speed: 623.26 samples/sec Train-accuracy=0.501719 | |
| 2016-05-03 17:35:56,717 Node[0] Epoch[1] Resetting Data Iterator | |
| 2016-05-03 17:35:56,717 Node[0] Epoch[1] Time cost=81.079 | |
| 2016-05-03 17:35:56,879 Node[0] Saved checkpoint to "cifar10/resnet-0002.params" | |
| 2016-05-03 17:35:58,858 Node[0] Epoch[1] Validation-accuracy=0.387420 | |
| 2016-05-03 17:36:09,183 Node[0] Epoch[2] Batch [50] Speed: 623.15 samples/sec Train-accuracy=0.533125 | |
| 2016-05-03 17:36:19,500 Node[0] Epoch[2] Batch [100] Speed: 620.36 samples/sec Train-accuracy=0.552344 | |
| 2016-05-03 17:36:29,777 Node[0] Epoch[2] Batch [150] Speed: 622.76 samples/sec Train-accuracy=0.561562 | |
| 2016-05-03 17:36:40,070 Node[0] Epoch[2] Batch [200] Speed: 621.82 samples/sec Train-accuracy=0.572187 | |
| 2016-05-03 17:36:50,372 Node[0] Epoch[2] Batch [250] Speed: 621.24 samples/sec Train-accuracy=0.578125 | |
| 2016-05-03 17:37:00,647 Node[0] Epoch[2] Batch [300] Speed: 622.92 samples/sec Train-accuracy=0.575000 | |
| 2016-05-03 17:37:10,902 Node[0] Epoch[2] Batch [350] Speed: 624.10 samples/sec Train-accuracy=0.591250 | |
| 2016-05-03 17:37:19,092 Node[0] Epoch[2] Resetting Data Iterator | |
| 2016-05-03 17:37:19,093 Node[0] Epoch[2] Time cost=80.234 | |
| 2016-05-03 17:37:19,254 Node[0] Saved checkpoint to "cifar10/resnet-0003.params" | |
| 2016-05-03 17:37:21,129 Node[0] Epoch[2] Validation-accuracy=0.512119 | |
| 2016-05-03 17:37:31,168 Node[0] Epoch[3] Batch [50] Speed: 641.01 samples/sec Train-accuracy=0.606094 | |
| 2016-05-03 17:37:41,309 Node[0] Epoch[3] Batch [100] Speed: 631.16 samples/sec Train-accuracy=0.624687 | |
| 2016-05-03 17:37:51,508 Node[0] Epoch[3] Batch [150] Speed: 627.51 samples/sec Train-accuracy=0.638906 | |
| 2016-05-03 17:38:01,671 Node[0] Epoch[3] Batch [200] Speed: 629.78 samples/sec Train-accuracy=0.635469 | |
| 2016-05-03 17:38:11,791 Node[0] Epoch[3] Batch [250] Speed: 632.42 samples/sec Train-accuracy=0.634062 | |
| 2016-05-03 17:38:21,921 Node[0] Epoch[3] Batch [300] Speed: 631.77 samples/sec Train-accuracy=0.647031 | |
| 2016-05-03 17:38:32,085 Node[0] Epoch[3] Batch [350] Speed: 629.69 samples/sec Train-accuracy=0.643281 | |
| 2016-05-03 17:38:40,407 Node[0] Epoch[3] Resetting Data Iterator | |
| 2016-05-03 17:38:40,407 Node[0] Epoch[3] Time cost=79.278 | |
| 2016-05-03 17:38:40,563 Node[0] Saved checkpoint to "cifar10/resnet-0004.params" | |
| 2016-05-03 17:38:42,467 Node[0] Epoch[3] Validation-accuracy=0.628005 | |
| 2016-05-03 17:38:52,684 Node[0] Epoch[4] Batch [50] Speed: 629.79 samples/sec Train-accuracy=0.657344 | |
| 2016-05-03 17:39:02,815 Node[0] Epoch[4] Batch [100] Speed: 631.68 samples/sec Train-accuracy=0.666094 | |
| 2016-05-03 17:39:12,962 Node[0] Epoch[4] Batch [150] Speed: 630.75 samples/sec Train-accuracy=0.684375 | |
| 2016-05-03 17:39:23,136 Node[0] Epoch[4] Batch [200] Speed: 629.11 samples/sec Train-accuracy=0.674844 | |
| 2016-05-03 17:39:33,288 Node[0] Epoch[4] Batch [250] Speed: 630.43 samples/sec Train-accuracy=0.679844 | |
| 2016-05-03 17:39:43,412 Node[0] Epoch[4] Batch [300] Speed: 632.14 samples/sec Train-accuracy=0.678906 | |
| 2016-05-03 17:39:53,482 Node[0] Epoch[4] Batch [350] Speed: 635.58 samples/sec Train-accuracy=0.692187 | |
| 2016-05-03 17:40:01,759 Node[0] Epoch[4] Resetting Data Iterator | |
| 2016-05-03 17:40:01,759 Node[0] Epoch[4] Time cost=79.292 | |
| 2016-05-03 17:40:01,918 Node[0] Saved checkpoint to "cifar10/resnet-0005.params" | |
| 2016-05-03 17:40:03,805 Node[0] Epoch[4] Validation-accuracy=0.663161 | |
| 2016-05-03 17:40:14,048 Node[0] Epoch[5] Batch [50] Speed: 628.08 samples/sec Train-accuracy=0.692344 | |
| 2016-05-03 17:40:24,200 Node[0] Epoch[5] Batch [100] Speed: 630.44 samples/sec Train-accuracy=0.701875 | |
| 2016-05-03 17:40:34,362 Node[0] Epoch[5] Batch [150] Speed: 629.81 samples/sec Train-accuracy=0.714063 | |
| 2016-05-03 17:40:44,485 Node[0] Epoch[5] Batch [200] Speed: 632.26 samples/sec Train-accuracy=0.714844 | |
| 2016-05-03 17:40:54,650 Node[0] Epoch[5] Batch [250] Speed: 629.60 samples/sec Train-accuracy=0.710781 | |
| 2016-05-03 17:41:04,762 Node[0] Epoch[5] Batch [300] Speed: 632.94 samples/sec Train-accuracy=0.718594 | |
| 2016-05-03 17:41:14,835 Node[0] Epoch[5] Batch [350] Speed: 635.40 samples/sec Train-accuracy=0.718906 | |
| 2016-05-03 17:41:22,934 Node[0] Epoch[5] Resetting Data Iterator | |
| 2016-05-03 17:41:22,935 Node[0] Epoch[5] Time cost=79.130 | |
| 2016-05-03 17:41:23,091 Node[0] Saved checkpoint to "cifar10/resnet-0006.params" | |
| 2016-05-03 17:41:24,952 Node[0] Epoch[5] Validation-accuracy=0.697316 | |
| 2016-05-03 17:41:35,101 Node[0] Epoch[6] Batch [50] Speed: 633.86 samples/sec Train-accuracy=0.728125 | |
| 2016-05-03 17:41:45,215 Node[0] Epoch[6] Batch [100] Speed: 632.76 samples/sec Train-accuracy=0.737500 | |
| 2016-05-03 17:41:55,272 Node[0] Epoch[6] Batch [150] Speed: 636.45 samples/sec Train-accuracy=0.755156 | |
| 2016-05-03 17:42:05,276 Node[0] Epoch[6] Batch [200] Speed: 639.72 samples/sec Train-accuracy=0.740938 | |
| 2016-05-03 17:42:15,314 Node[0] Epoch[6] Batch [250] Speed: 637.60 samples/sec Train-accuracy=0.738750 | |
| 2016-05-03 17:42:25,437 Node[0] Epoch[6] Batch [300] Speed: 632.25 samples/sec Train-accuracy=0.754844 | |
| 2016-05-03 17:42:35,590 Node[0] Epoch[6] Batch [350] Speed: 630.40 samples/sec Train-accuracy=0.760312 | |
| 2016-05-03 17:42:43,888 Node[0] Epoch[6] Resetting Data Iterator | |
| 2016-05-03 17:42:43,888 Node[0] Epoch[6] Time cost=78.936 | |
| 2016-05-03 17:42:44,043 Node[0] Saved checkpoint to "cifar10/resnet-0007.params" | |
| 2016-05-03 17:42:45,920 Node[0] Epoch[6] Validation-accuracy=0.703826 | |
| 2016-05-03 17:42:55,967 Node[0] Epoch[7] Batch [50] Speed: 640.34 samples/sec Train-accuracy=0.757188 | |
| 2016-05-03 17:43:06,082 Node[0] Epoch[7] Batch [100] Speed: 632.73 samples/sec Train-accuracy=0.767813 | |
| 2016-05-03 17:43:16,188 Node[0] Epoch[7] Batch [150] Speed: 633.27 samples/sec Train-accuracy=0.773281 | |
| 2016-05-03 17:43:26,303 Node[0] Epoch[7] Batch [200] Speed: 632.76 samples/sec Train-accuracy=0.766094 | |
| 2016-05-03 17:43:36,414 Node[0] Epoch[7] Batch [250] Speed: 633.01 samples/sec Train-accuracy=0.771094 | |
| 2016-05-03 17:43:46,488 Node[0] Epoch[7] Batch [300] Speed: 635.31 samples/sec Train-accuracy=0.779531 | |
| 2016-05-03 17:43:56,577 Node[0] Epoch[7] Batch [350] Speed: 634.36 samples/sec Train-accuracy=0.776094 | |
| 2016-05-03 17:44:04,714 Node[0] Epoch[7] Resetting Data Iterator | |
| 2016-05-03 17:44:04,715 Node[0] Epoch[7] Time cost=78.794 | |
| 2016-05-03 17:44:04,874 Node[0] Saved checkpoint to "cifar10/resnet-0008.params" | |
| 2016-05-03 17:44:06,775 Node[0] Epoch[7] Validation-accuracy=0.761819 | |
| 2016-05-03 17:44:16,881 Node[0] Epoch[8] Batch [50] Speed: 636.62 samples/sec Train-accuracy=0.777500 | |
| 2016-05-03 17:44:27,026 Node[0] Epoch[8] Batch [100] Speed: 630.91 samples/sec Train-accuracy=0.780312 | |
| 2016-05-03 17:44:37,123 Node[0] Epoch[8] Batch [150] Speed: 633.85 samples/sec Train-accuracy=0.796562 | |
| 2016-05-03 17:44:47,240 Node[0] Epoch[8] Batch [200] Speed: 632.60 samples/sec Train-accuracy=0.782188 | |
| 2016-05-03 17:44:57,352 Node[0] Epoch[8] Batch [250] Speed: 632.97 samples/sec Train-accuracy=0.783125 | |
| 2016-05-03 17:45:07,475 Node[0] Epoch[8] Batch [300] Speed: 632.24 samples/sec Train-accuracy=0.790469 | |
| 2016-05-03 17:45:17,607 Node[0] Epoch[8] Batch [350] Speed: 631.63 samples/sec Train-accuracy=0.792031 | |
| 2016-05-03 17:45:25,891 Node[0] Epoch[8] Resetting Data Iterator | |
| 2016-05-03 17:45:25,891 Node[0] Epoch[8] Time cost=79.116 | |
| 2016-05-03 17:45:26,053 Node[0] Saved checkpoint to "cifar10/resnet-0009.params" | |
| 2016-05-03 17:45:28,138 Node[0] Epoch[8] Validation-accuracy=0.734474 | |
| 2016-05-03 17:45:38,210 Node[0] Epoch[9] Batch [50] Speed: 638.84 samples/sec Train-accuracy=0.790625 | |
| 2016-05-03 17:45:48,343 Node[0] Epoch[9] Batch [100] Speed: 631.62 samples/sec Train-accuracy=0.796406 | |
| 2016-05-03 17:45:58,386 Node[0] Epoch[9] Batch [150] Speed: 637.26 samples/sec Train-accuracy=0.801562 | |
| 2016-05-03 17:46:08,457 Node[0] Epoch[9] Batch [200] Speed: 635.53 samples/sec Train-accuracy=0.789062 | |
| 2016-05-03 17:46:18,583 Node[0] Epoch[9] Batch [250] Speed: 632.02 samples/sec Train-accuracy=0.794063 | |
| 2016-05-03 17:46:28,688 Node[0] Epoch[9] Batch [300] Speed: 633.38 samples/sec Train-accuracy=0.805625 | |
| 2016-05-03 17:46:38,842 Node[0] Epoch[9] Batch [350] Speed: 630.34 samples/sec Train-accuracy=0.794531 | |
| 2016-05-03 17:46:47,148 Node[0] Epoch[9] Resetting Data Iterator | |
| 2016-05-03 17:46:47,148 Node[0] Epoch[9] Time cost=79.010 | |
| 2016-05-03 17:46:47,309 Node[0] Saved checkpoint to "cifar10/resnet-0010.params" | |
| 2016-05-03 17:46:49,175 Node[0] Epoch[9] Validation-accuracy=0.781050 | |
| 2016-05-03 17:46:59,283 Node[0] Epoch[10] Batch [50] Speed: 636.52 samples/sec Train-accuracy=0.804688 | |
| 2016-05-03 17:47:09,400 Node[0] Epoch[10] Batch [100] Speed: 632.59 samples/sec Train-accuracy=0.801094 | |
| 2016-05-03 17:47:19,477 Node[0] Epoch[10] Batch [150] Speed: 635.12 samples/sec Train-accuracy=0.812813 | |
| 2016-05-03 17:47:29,502 Node[0] Epoch[10] Batch [200] Speed: 638.42 samples/sec Train-accuracy=0.804063 | |
| 2016-05-03 17:47:39,545 Node[0] Epoch[10] Batch [250] Speed: 637.28 samples/sec Train-accuracy=0.805469 | |
| 2016-05-03 17:47:49,616 Node[0] Epoch[10] Batch [300] Speed: 635.51 samples/sec Train-accuracy=0.812031 | |
| 2016-05-03 17:47:59,713 Node[0] Epoch[10] Batch [350] Speed: 633.85 samples/sec Train-accuracy=0.805781 | |
| 2016-05-03 17:48:07,776 Node[0] Epoch[10] Resetting Data Iterator | |
| 2016-05-03 17:48:07,776 Node[0] Epoch[10] Time cost=78.601 | |
| 2016-05-03 17:48:07,930 Node[0] Saved checkpoint to "cifar10/resnet-0011.params" | |
| 2016-05-03 17:48:09,809 Node[0] Epoch[10] Validation-accuracy=0.761018 | |
| 2016-05-03 17:48:19,899 Node[0] Epoch[11] Batch [50] Speed: 637.75 samples/sec Train-accuracy=0.810312 | |
| 2016-05-03 17:48:30,006 Node[0] Epoch[11] Batch [100] Speed: 633.28 samples/sec Train-accuracy=0.816562 | |
| 2016-05-03 17:48:40,098 Node[0] Epoch[11] Batch [150] Speed: 634.18 samples/sec Train-accuracy=0.816875 | |
| 2016-05-03 17:48:50,201 Node[0] Epoch[11] Batch [200] Speed: 633.44 samples/sec Train-accuracy=0.811562 | |
| 2016-05-03 17:49:00,268 Node[0] Epoch[11] Batch [250] Speed: 635.76 samples/sec Train-accuracy=0.814219 | |
| 2016-05-03 17:49:10,346 Node[0] Epoch[11] Batch [300] Speed: 635.07 samples/sec Train-accuracy=0.815781 | |
| 2016-05-03 17:49:20,365 Node[0] Epoch[11] Batch [350] Speed: 638.83 samples/sec Train-accuracy=0.823281 | |
| 2016-05-03 17:49:28,583 Node[0] Epoch[11] Resetting Data Iterator | |
| 2016-05-03 17:49:28,584 Node[0] Epoch[11] Time cost=78.774 | |
| 2016-05-03 17:49:28,743 Node[0] Saved checkpoint to "cifar10/resnet-0012.params" | |
| 2016-05-03 17:49:30,666 Node[0] Epoch[11] Validation-accuracy=0.791166 | |
| 2016-05-03 17:49:40,723 Node[0] Epoch[12] Batch [50] Speed: 639.78 samples/sec Train-accuracy=0.818750 | |
| 2016-05-03 17:49:50,858 Node[0] Epoch[12] Batch [100] Speed: 631.49 samples/sec Train-accuracy=0.823750 | |
| 2016-05-03 17:50:00,968 Node[0] Epoch[12] Batch [150] Speed: 633.04 samples/sec Train-accuracy=0.825313 | |
| 2016-05-03 17:50:10,988 Node[0] Epoch[12] Batch [200] Speed: 638.77 samples/sec Train-accuracy=0.818594 | |
| 2016-05-03 17:50:21,004 Node[0] Epoch[12] Batch [250] Speed: 638.99 samples/sec Train-accuracy=0.824219 | |
| 2016-05-03 17:50:31,033 Node[0] Epoch[12] Batch [300] Speed: 638.15 samples/sec Train-accuracy=0.833750 | |
| 2016-05-03 17:50:41,069 Node[0] Epoch[12] Batch [350] Speed: 637.72 samples/sec Train-accuracy=0.819531 | |
| 2016-05-03 17:50:49,275 Node[0] Epoch[12] Resetting Data Iterator | |
| 2016-05-03 17:50:49,276 Node[0] Epoch[12] Time cost=78.610 | |
| 2016-05-03 17:50:49,434 Node[0] Saved checkpoint to "cifar10/resnet-0013.params" | |
| 2016-05-03 17:50:51,295 Node[0] Epoch[12] Validation-accuracy=0.795072 | |
| 2016-05-03 17:51:01,360 Node[0] Epoch[13] Batch [50] Speed: 639.27 samples/sec Train-accuracy=0.828750 | |
| 2016-05-03 17:51:11,468 Node[0] Epoch[13] Batch [100] Speed: 633.19 samples/sec Train-accuracy=0.833125 | |
| 2016-05-03 17:51:21,465 Node[0] Epoch[13] Batch [150] Speed: 640.20 samples/sec Train-accuracy=0.837187 | |
| 2016-05-03 17:51:31,518 Node[0] Epoch[13] Batch [200] Speed: 636.66 samples/sec Train-accuracy=0.825781 | |
| 2016-05-03 17:51:41,510 Node[0] Epoch[13] Batch [250] Speed: 640.51 samples/sec Train-accuracy=0.828281 | |
| 2016-05-03 17:51:51,579 Node[0] Epoch[13] Batch [300] Speed: 635.65 samples/sec Train-accuracy=0.829375 | |
| 2016-05-03 17:52:01,649 Node[0] Epoch[13] Batch [350] Speed: 635.55 samples/sec Train-accuracy=0.823750 | |
| 2016-05-03 17:52:09,682 Node[0] Epoch[13] Resetting Data Iterator | |
| 2016-05-03 17:52:09,682 Node[0] Epoch[13] Time cost=78.387 | |
| 2016-05-03 17:52:09,840 Node[0] Saved checkpoint to "cifar10/resnet-0014.params" | |
| 2016-05-03 17:52:11,682 Node[0] Epoch[13] Validation-accuracy=0.765325 | |
| 2016-05-03 17:52:21,740 Node[0] Epoch[14] Batch [50] Speed: 639.64 samples/sec Train-accuracy=0.841406 | |
| 2016-05-03 17:52:31,866 Node[0] Epoch[14] Batch [100] Speed: 632.06 samples/sec Train-accuracy=0.833438 | |
| 2016-05-03 17:52:41,913 Node[0] Epoch[14] Batch [150] Speed: 637.00 samples/sec Train-accuracy=0.845469 | |
| 2016-05-03 17:52:51,961 Node[0] Epoch[14] Batch [200] Speed: 636.97 samples/sec Train-accuracy=0.837500 | |
| 2016-05-03 17:53:02,011 Node[0] Epoch[14] Batch [250] Speed: 636.83 samples/sec Train-accuracy=0.831562 | |
| 2016-05-03 17:53:12,069 Node[0] Epoch[14] Batch [300] Speed: 636.28 samples/sec Train-accuracy=0.835156 | |
| 2016-05-03 17:53:22,183 Node[0] Epoch[14] Batch [350] Speed: 632.81 samples/sec Train-accuracy=0.842344 | |
| 2016-05-03 17:53:30,438 Node[0] Epoch[14] Resetting Data Iterator | |
| 2016-05-03 17:53:30,438 Node[0] Epoch[14] Time cost=78.756 | |
| 2016-05-03 17:53:30,595 Node[0] Saved checkpoint to "cifar10/resnet-0015.params" | |
| 2016-05-03 17:53:32,488 Node[0] Epoch[14] Validation-accuracy=0.794071 | |
| 2016-05-03 17:53:42,549 Node[0] Epoch[15] Batch [50] Speed: 639.53 samples/sec Train-accuracy=0.841719 | |
| 2016-05-03 17:53:52,647 Node[0] Epoch[15] Batch [100] Speed: 633.79 samples/sec Train-accuracy=0.845781 | |
| 2016-05-03 17:54:02,693 Node[0] Epoch[15] Batch [150] Speed: 637.13 samples/sec Train-accuracy=0.846719 | |
| 2016-05-03 17:54:12,713 Node[0] Epoch[15] Batch [200] Speed: 638.69 samples/sec Train-accuracy=0.835000 | |
| 2016-05-03 17:54:22,721 Node[0] Epoch[15] Batch [250] Speed: 639.56 samples/sec Train-accuracy=0.837969 | |
| 2016-05-03 17:54:32,834 Node[0] Epoch[15] Batch [300] Speed: 632.80 samples/sec Train-accuracy=0.851875 | |
| 2016-05-03 17:54:42,901 Node[0] Epoch[15] Batch [350] Speed: 635.80 samples/sec Train-accuracy=0.851875 | |
| 2016-05-03 17:54:50,941 Node[0] Epoch[15] Resetting Data Iterator | |
| 2016-05-03 17:54:50,942 Node[0] Epoch[15] Time cost=78.454 | |
| 2016-05-03 17:54:51,101 Node[0] Saved checkpoint to "cifar10/resnet-0016.params" | |
| 2016-05-03 17:54:52,978 Node[0] Epoch[15] Validation-accuracy=0.799079 | |
| 2016-05-03 17:55:03,046 Node[0] Epoch[16] Batch [50] Speed: 639.10 samples/sec Train-accuracy=0.846875 | |
| 2016-05-03 17:55:13,179 Node[0] Epoch[16] Batch [100] Speed: 631.65 samples/sec Train-accuracy=0.856719 | |
| 2016-05-03 17:55:23,287 Node[0] Epoch[16] Batch [150] Speed: 633.15 samples/sec Train-accuracy=0.856094 | |
| 2016-05-03 17:55:33,409 Node[0] Epoch[16] Batch [200] Speed: 632.32 samples/sec Train-accuracy=0.847812 | |
| 2016-05-03 17:55:43,462 Node[0] Epoch[16] Batch [250] Speed: 636.60 samples/sec Train-accuracy=0.843906 | |
| 2016-05-03 17:55:53,530 Node[0] Epoch[16] Batch [300] Speed: 635.74 samples/sec Train-accuracy=0.850156 | |
| 2016-05-03 17:56:03,616 Node[0] Epoch[16] Batch [350] Speed: 634.56 samples/sec Train-accuracy=0.849375 | |
| 2016-05-03 17:56:11,870 Node[0] Epoch[16] Resetting Data Iterator | |
| 2016-05-03 17:56:11,871 Node[0] Epoch[16] Time cost=78.892 | |
| 2016-05-03 17:56:12,030 Node[0] Saved checkpoint to "cifar10/resnet-0017.params" | |
| 2016-05-03 17:56:14,143 Node[0] Epoch[16] Validation-accuracy=0.756428 | |
| 2016-05-03 17:56:24,291 Node[0] Epoch[17] Batch [50] Speed: 633.94 samples/sec Train-accuracy=0.844688 | |
| 2016-05-03 17:56:34,319 Node[0] Epoch[17] Batch [100] Speed: 638.26 samples/sec Train-accuracy=0.852969 | |
| 2016-05-03 17:56:44,360 Node[0] Epoch[17] Batch [150] Speed: 637.37 samples/sec Train-accuracy=0.858125 | |
| 2016-05-03 17:56:54,480 Node[0] Epoch[17] Batch [200] Speed: 632.46 samples/sec Train-accuracy=0.849688 | |
| 2016-05-03 17:57:04,581 Node[0] Epoch[17] Batch [250] Speed: 633.57 samples/sec Train-accuracy=0.843906 | |
| 2016-05-03 17:57:14,642 Node[0] Epoch[17] Batch [300] Speed: 636.18 samples/sec Train-accuracy=0.852812 | |
| 2016-05-03 17:57:24,753 Node[0] Epoch[17] Batch [350] Speed: 632.95 samples/sec Train-accuracy=0.853281 | |
| 2016-05-03 17:57:33,019 Node[0] Epoch[17] Resetting Data Iterator | |
| 2016-05-03 17:57:33,019 Node[0] Epoch[17] Time cost=78.876 | |
| 2016-05-03 17:57:33,181 Node[0] Saved checkpoint to "cifar10/resnet-0018.params" | |
| 2016-05-03 17:57:35,047 Node[0] Epoch[17] Validation-accuracy=0.762420 | |
| 2016-05-03 17:57:45,101 Node[0] Epoch[18] Batch [50] Speed: 639.89 samples/sec Train-accuracy=0.853906 | |
| 2016-05-03 17:57:55,170 Node[0] Epoch[18] Batch [100] Speed: 635.67 samples/sec Train-accuracy=0.855156 | |
| 2016-05-03 17:58:05,289 Node[0] Epoch[18] Batch [150] Speed: 632.47 samples/sec Train-accuracy=0.863750 | |
| 2016-05-03 17:58:15,406 Node[0] Epoch[18] Batch [200] Speed: 632.61 samples/sec Train-accuracy=0.851719 | |
| 2016-05-03 17:58:25,533 Node[0] Epoch[18] Batch [250] Speed: 632.01 samples/sec Train-accuracy=0.853750 | |
| 2016-05-03 17:58:35,693 Node[0] Epoch[18] Batch [300] Speed: 629.88 samples/sec Train-accuracy=0.851562 | |
| 2016-05-03 17:58:45,811 Node[0] Epoch[18] Batch [350] Speed: 632.58 samples/sec Train-accuracy=0.854531 | |
| 2016-05-03 17:58:53,894 Node[0] Epoch[18] Resetting Data Iterator | |
| 2016-05-03 17:58:53,894 Node[0] Epoch[18] Time cost=78.847 | |
| 2016-05-03 17:58:54,053 Node[0] Saved checkpoint to "cifar10/resnet-0019.params" | |
| 2016-05-03 17:58:55,950 Node[0] Epoch[18] Validation-accuracy=0.762921 | |
| 2016-05-03 17:59:05,943 Node[0] Epoch[19] Batch [50] Speed: 643.81 samples/sec Train-accuracy=0.857812 | |
| 2016-05-03 17:59:16,094 Node[0] Epoch[19] Batch [100] Speed: 630.47 samples/sec Train-accuracy=0.862969 | |
| 2016-05-03 17:59:26,130 Node[0] Epoch[19] Batch [150] Speed: 637.75 samples/sec Train-accuracy=0.859688 | |
| 2016-05-03 17:59:36,171 Node[0] Epoch[19] Batch [200] Speed: 637.36 samples/sec Train-accuracy=0.854531 | |
| 2016-05-03 17:59:46,244 Node[0] Epoch[19] Batch [250] Speed: 635.41 samples/sec Train-accuracy=0.859375 | |
| 2016-05-03 17:59:56,338 Node[0] Epoch[19] Batch [300] Speed: 634.06 samples/sec Train-accuracy=0.866563 | |
| 2016-05-03 18:00:06,441 Node[0] Epoch[19] Batch [350] Speed: 633.49 samples/sec Train-accuracy=0.865156 | |
| 2016-05-03 18:00:14,689 Node[0] Epoch[19] Resetting Data Iterator | |
| 2016-05-03 18:00:14,689 Node[0] Epoch[19] Time cost=78.739 | |
| 2016-05-03 18:00:14,848 Node[0] Saved checkpoint to "cifar10/resnet-0020.params" | |
| 2016-05-03 18:00:16,711 Node[0] Epoch[19] Validation-accuracy=0.801082 | |
| 2016-05-03 18:00:26,808 Node[0] Epoch[20] Batch [50] Speed: 637.16 samples/sec Train-accuracy=0.864688 | |
| 2016-05-03 18:00:36,917 Node[0] Epoch[20] Batch [100] Speed: 633.11 samples/sec Train-accuracy=0.859375 | |
| 2016-05-03 18:00:46,963 Node[0] Epoch[20] Batch [150] Speed: 637.10 samples/sec Train-accuracy=0.861719 | |
| 2016-05-03 18:00:56,986 Node[0] Epoch[20] Batch [200] Speed: 638.55 samples/sec Train-accuracy=0.855000 | |
| 2016-05-03 18:01:07,009 Node[0] Epoch[20] Batch [250] Speed: 638.54 samples/sec Train-accuracy=0.862812 | |
| 2016-05-03 18:01:17,104 Node[0] Epoch[20] Batch [300] Speed: 633.95 samples/sec Train-accuracy=0.859062 | |
| 2016-05-03 18:01:27,185 Node[0] Epoch[20] Batch [350] Speed: 634.90 samples/sec Train-accuracy=0.867031 | |
| 2016-05-03 18:01:35,459 Node[0] Epoch[20] Resetting Data Iterator | |
| 2016-05-03 18:01:35,459 Node[0] Epoch[20] Time cost=78.748 | |
| 2016-05-03 18:01:35,619 Node[0] Saved checkpoint to "cifar10/resnet-0021.params" | |
| 2016-05-03 18:01:37,477 Node[0] Epoch[20] Validation-accuracy=0.797276 | |
| 2016-05-03 18:01:47,494 Node[0] Epoch[21] Batch [50] Speed: 642.28 samples/sec Train-accuracy=0.863906 | |
| 2016-05-03 18:01:57,548 Node[0] Epoch[21] Batch [100] Speed: 636.59 samples/sec Train-accuracy=0.865469 | |
| 2016-05-03 18:02:07,613 Node[0] Epoch[21] Batch [150] Speed: 635.87 samples/sec Train-accuracy=0.872500 | |
| 2016-05-03 18:02:17,662 Node[0] Epoch[21] Batch [200] Speed: 636 |
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