CynthiaProtector commented on issue #15962: ResNet18_v2 under the directory of /mxnet/example/gluon URL: https://github.com/apache/incubator-mxnet/issues/15962#issuecomment-523516994 The following is a sample of the training log: > 2019-08-21 12:23:33,543 INFO Namespace(batch_norm=False, batch_size=32, dataset='cifar10', epochs=200, kvstore='device', log_interval=50, lr=0.1, lr_factor=0.1, lr_step_epochs='80,120', mode='symbolic', model='resnet18_v2', momentum=0.9, num_examples=50000, num_gpus=4, num_workers=1, optimizer='sgd', seed=123, train_data='', use_pretrained=False, use_thumbnail=False, val_data='', wd=0.0001) > 2019-08-21 12:23:49,109 INFO =============== Changing the global learning rate ================= > 2019-08-21 12:23:49,109 INFO =================================================================== > 2019-08-21 12:24:33,668 INFO Epoch[0] Batch [50] Speed: 590.59 samples/sec accuracy=0.211397 > 2019-08-21 12:24:44,679 INFO Epoch[0] Batch [100] Speed: 581.25 samples/sec accuracy=0.270625 > 2019-08-21 12:24:55,786 INFO Epoch[0] Batch [150] Speed: 576.24 samples/sec accuracy=0.315156 > 2019-08-21 12:25:06,760 INFO Epoch[0] Batch [200] Speed: 583.23 samples/sec accuracy=0.362812 > 2019-08-21 12:25:17,796 INFO Epoch[0] Batch [250] Speed: 579.94 samples/sec accuracy=0.377812 > 2019-08-21 12:25:28,772 INFO Epoch[0] Batch [300] Speed: 583.12 samples/sec accuracy=0.413906 > 2019-08-21 12:25:39,790 INFO Epoch[0] Batch [350] Speed: 580.83 samples/sec accuracy=0.422500 > 2019-08-21 12:25:48,608 INFO Epoch[0] Train-accuracy=0.441992 > 2019-08-21 12:25:48,609 INFO Epoch[0] Time cost=86.588 > 2019-08-21 12:25:49,821 INFO Saved checkpoint to "image-classifier-resnet18_v2-0001.params" > 2019-08-21 12:25:53,679 INFO Epoch[0] Validation-accuracy=0.453125 > 2019-08-21 12:26:04,903 INFO Epoch[1] Batch [50] Speed: 578.84 samples/sec accuracy=0.452053 > 2019-08-21 12:26:15,890 INFO Epoch[1] Batch [100] Speed: 582.55 samples/sec accuracy=0.472500 > 2019-08-21 12:26:26,949 INFO Epoch[1] Batch [150] Speed: 578.72 samples/sec accuracy=0.477187 > 2019-08-21 12:26:37,900 INFO Epoch[1] Batch [200] Speed: 584.44 samples/sec accuracy=0.494531 > 2019-08-21 12:26:48,954 INFO Epoch[1] Batch [250] Speed: 579.02 samples/sec accuracy=0.490000 > 2019-08-21 12:26:59,934 INFO Epoch[1] Batch [300] Speed: 582.87 samples/sec accuracy=0.517656 > 2019-08-21 12:27:10,943 INFO Epoch[1] Batch [350] Speed: 581.35 samples/sec accuracy=0.525781 > 2019-08-21 12:27:19,730 INFO Epoch[1] Train-accuracy=0.521484 > 2019-08-21 12:27:19,731 INFO Epoch[1] Time cost=86.046 > 2019-08-21 12:27:20,175 INFO Saved checkpoint to "image-classifier-resnet18_v2-0002.params" > 2019-08-21 12:27:23,861 INFO Epoch[1] Validation-accuracy=0.521134 > 2019-08-21 12:27:35,069 INFO Epoch[2] Batch [50] Speed: 579.56 samples/sec accuracy=0.540135 > 2019-08-21 12:27:46,034 INFO Epoch[2] Batch [100] Speed: 583.65 samples/sec accuracy=0.557656 > 2019-08-21 12:27:57,058 INFO Epoch[2] Batch [150] Speed: 580.57 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"image-classifier-resnet18_v2-0113.params" > 2019-08-21 15:13:47,496 INFO Epoch[112] Validation-accuracy=0.808544 > 2019-08-21 15:13:58,677 INFO Epoch[113] Batch [50] Speed: 581.74 samples/sec accuracy=1.000000 > 2019-08-21 15:14:09,644 INFO Epoch[113] Batch [100] Speed: 583.58 samples/sec accuracy=1.000000 > 2019-08-21 15:14:20,659 INFO Epoch[113] Batch [150] Speed: 581.03 samples/sec accuracy=1.000000 > 2019-08-21 15:14:31,575 INFO Epoch[113] Batch [200] Speed: 586.29 samples/sec accuracy=1.000000 > 2019-08-21 15:14:42,617 INFO Epoch[113] Batch [250] Speed: 579.65 samples/sec accuracy=1.000000 > 2019-08-21 15:14:53,568 INFO Epoch[113] Batch [300] Speed: 584.44 samples/sec accuracy=1.000000 > 2019-08-21 15:15:04,536 INFO Epoch[113] Batch [350] Speed: 583.51 samples/sec accuracy=1.000000 > 2019-08-21 15:15:13,289 INFO Epoch[113] Train-accuracy=1.000000 > 2019-08-21 15:15:13,289 INFO Epoch[113] Time cost=85.788 > 2019-08-21 15:15:13,752 INFO Saved checkpoint to 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"image-classifier-resnet18_v2-0120.params" > 2019-08-21 15:24:17,140 INFO Epoch[119] Validation-accuracy=0.810497 > 2019-08-21 15:24:17,227 INFO Update[46876]: Change learning rate to 1.00000e-03 > 2019-08-21 15:24:28,413 INFO Epoch[120] Batch [50] Speed: 582.99 samples/sec accuracy=1.000000 > 2019-08-21 15:24:39,364 INFO Epoch[120] Batch [100] Speed: 584.45 samples/sec accuracy=1.000000 > 2019-08-21 15:24:50,322 INFO Epoch[120] Batch [150] Speed: 584.06 samples/sec accuracy=1.000000 > 2019-08-21 15:25:01,296 INFO Epoch[120] Batch [200] Speed: 583.25 samples/sec accuracy=1.000000 > 2019-08-21 15:25:12,305 INFO Epoch[120] Batch [250] Speed: 581.35 samples/sec accuracy=1.000000 > 2019-08-21 15:25:23,248 INFO Epoch[120] Batch [300] Speed: 584.86 samples/sec accuracy=1.000000 > 2019-08-21 15:25:34,161 INFO Epoch[120] Batch [350] Speed: 586.45 samples/sec accuracy=1.000000 > 2019-08-21 15:25:42,945 INFO Epoch[120] Train-accuracy=1.000000 > 2019-08-21 15:25:42,945 INFO Epoch[120] Time cost=85.793 > 2019-08-21 15:25:43,405 INFO Saved checkpoint to "image-classifier-resnet18_v2-0121.params" > 2019-08-21 15:25:47,191 INFO Epoch[120] Validation-accuracy=0.811313 > 2019-08-21 15:25:58,395 INFO Epoch[121] Batch [50] Speed: 579.68 samples/sec accuracy=1.000000 > 2019-08-21 15:26:09,312 INFO Epoch[121] Batch [100] Speed: 586.24 samples/sec accuracy=1.000000 > 2019-08-21 15:26:20,311 INFO Epoch[121] Batch [150] Speed: 581.91 samples/sec accuracy=1.000000 > 2019-08-21 15:26:31,229 INFO Epoch[121] Batch [200] Speed: 586.17 samples/sec accuracy=1.000000 > 2019-08-21 15:26:42,258 INFO Epoch[121] Batch [250] Speed: 580.33 samples/sec accuracy=1.000000 > 2019-08-21 15:26:53,214 INFO Epoch[121] Batch [300] Speed: 584.16 samples/sec accuracy=1.000000 > 2019-08-21 15:27:04,179 INFO Epoch[121] Batch [350] Speed: 583.70 samples/sec accuracy=1.000000 > 2019-08-21 15:27:12,942 INFO Epoch[121] Train-accuracy=1.000000 > 2019-08-21 15:27:12,942 INFO Epoch[121] Time cost=85.745 > 2019-08-21 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checkpoint to "image-classifier-resnet18_v2-0123.params" > 2019-08-21 15:28:46,802 INFO Epoch[122] Validation-accuracy=0.810497 > 2019-08-21 15:28:57,993 INFO Epoch[123] Batch [50] Speed: 580.61 samples/sec accuracy=1.000000 > 2019-08-21 15:29:08,914 INFO Epoch[123] Batch [100] Speed: 586.02 samples/sec accuracy=1.000000 > 2019-08-21 15:29:19,958 INFO Epoch[123] Batch [150] Speed: 579.49 samples/sec accuracy=1.000000 > 2019-08-21 15:29:30,868 INFO Epoch[123] Batch [200] Speed: 586.67 samples/sec accuracy=1.000000 > 2019-08-21 15:29:41,904 INFO Epoch[123] Batch [250] Speed: 579.92 samples/sec accuracy=1.000000 > 2019-08-21 15:29:52,859 INFO Epoch[123] Batch [300] Speed: 584.22 samples/sec accuracy=1.000000 > 2019-08-21 15:30:03,772 INFO Epoch[123] Batch [350] Speed: 586.51 samples/sec accuracy=1.000000 > 2019-08-21 15:30:12,574 INFO Epoch[123] Train-accuracy=1.000000 > 2019-08-21 15:30:12,574 INFO Epoch[123] Time cost=85.767
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