finetune_XNLI_base_mx1.6.0rc1.log

INFO:root:10:31:03 Namespace(accumulate=None, batch_size=32, bert_dataset='wiki_cn_cased', bert_model='bert_12_768_12', dev_batch_size=8, dtype='float32', early_stop=None, epochs=4, epsilon=1e-06, gpu=0, log_interval=10, lr=2e-05, max_len=128, model_parameters=None, only_inference=False, optimizer='bertadam', output_dir='./output_dir', pad=False, pretrained_bert_parameters=None, seed=6, task_name='XNLI', training_steps=None, warmup_ratio=0.1)
INFO:root:10:31:04 Model file not found. Downloading to /home/ubuntu/.mxnet/models/bert_12_768_12_wiki_cn_cased-885ebb9a.params.
INFO:root:10:31:19 processing dataset...
INFO:root:10:33:16 Now we are doing BERT classification training on gpu(0)!
INFO:root:10:33:16 training steps=49087
INFO:root:10:33:19 [Epoch 1 Batch 10/12277] loss=1.1177, lr=0.0000000, metrics:accuracy:0.3688
INFO:root:10:33:20 [Epoch 1 Batch 20/12277] loss=1.1138, lr=0.0000001, metrics:accuracy:0.3797
INFO:root:10:33:22 [Epoch 1 Batch 30/12277] loss=1.1232, lr=0.0000001, metrics:accuracy:0.3677
INFO:root:10:33:23 [Epoch 1 Batch 40/12277] loss=1.1245, lr=0.0000002, metrics:accuracy:0.3617
INFO:root:10:33:25 [Epoch 1 Batch 50/12277] loss=1.1261, lr=0.0000002, metrics:accuracy:0.3575
INFO:root:10:33:26 [Epoch 1 Batch 60/12277] loss=1.1123, lr=0.0000002, metrics:accuracy:0.3573
INFO:root:10:33:28 [Epoch 1 Batch 70/12277] loss=1.1012, lr=0.0000003, metrics:accuracy:0.3603
INFO:root:10:33:29 [Epoch 1 Batch 80/12277] loss=1.1151, lr=0.0000003, metrics:accuracy:0.3586
INFO:root:10:33:31 [Epoch 1 Batch 90/12277] loss=1.1048, lr=0.0000004, metrics:accuracy:0.3594
INFO:root:10:33:33 [Epoch 1 Batch 100/12277] loss=1.1153, lr=0.0000004, metrics:accuracy:0.3581
INFO:root:10:33:35 [Epoch 1 Batch 110/12277] loss=1.0973, lr=0.0000004, metrics:accuracy:0.3588
INFO:root:10:33:36 [Epoch 1 Batch 120/12277] loss=1.0709, lr=0.0000005, metrics:accuracy:0.3656
INFO:root:10:33:38 [Epoch 1 Batch 130/12277] loss=1.1091, lr=0.0000005, metrics:accuracy:0.3635
INFO:root:10:33:40 [Epoch 1 Batch 140/12277] loss=1.1056, lr=0.0000006, metrics:accuracy:0.3625
INFO:root:10:33:42 [Epoch 1 Batch 150/12277] loss=1.1031, lr=0.0000006, metrics:accuracy:0.3621
INFO:root:10:33:43 [Epoch 1 Batch 160/12277] loss=1.0999, lr=0.0000006, metrics:accuracy:0.3619
INFO:root:10:33:45 [Epoch 1 Batch 170/12277] loss=1.0876, lr=0.0000007, metrics:accuracy:0.3638
INFO:root:10:33:47 [Epoch 1 Batch 180/12277] loss=1.0896, lr=0.0000007, metrics:accuracy:0.3641
INFO:root:10:33:49 [Epoch 1 Batch 190/12277] loss=1.0871, lr=0.0000008, metrics:accuracy:0.3635
INFO:root:10:33:51 [Epoch 1 Batch 200/12277] loss=1.0875, lr=0.0000008, metrics:accuracy:0.3639
INFO:root:10:33:52 [Epoch 1 Batch 210/12277] loss=1.0869, lr=0.0000009, metrics:accuracy:0.3650
INFO:root:10:33:53 [Epoch 1 Batch 220/12277] loss=1.0785, lr=0.0000009, metrics:accuracy:0.3678
INFO:root:10:33:55 [Epoch 1 Batch 230/12277] loss=1.0741, lr=0.0000009, metrics:accuracy:0.3697
INFO:root:10:33:57 [Epoch 1 Batch 240/12277] loss=1.0758, lr=0.0000010, metrics:accuracy:0.3712
INFO:root:10:33:58 [Epoch 1 Batch 250/12277] loss=1.0693, lr=0.0000010, metrics:accuracy:0.3728
INFO:root:10:34:00 [Epoch 1 Batch 260/12277] loss=1.0463, lr=0.0000011, metrics:accuracy:0.3761
INFO:root:10:34:01 [Epoch 1 Batch 270/12277] loss=1.0539, lr=0.0000011, metrics:accuracy:0.3780
INFO:root:10:34:03 [Epoch 1 Batch 280/12277] loss=1.0624, lr=0.0000011, metrics:accuracy:0.3802
INFO:root:10:34:05 [Epoch 1 Batch 290/12277] loss=1.0831, lr=0.0000012, metrics:accuracy:0.3806
INFO:root:10:34:06 [Epoch 1 Batch 300/12277] loss=1.0650, lr=0.0000012, metrics:accuracy:0.3827
INFO:root:10:34:08 [Epoch 1 Batch 310/12277] loss=1.0619, lr=0.0000013, metrics:accuracy:0.3854
INFO:root:10:34:10 [Epoch 1 Batch 320/12277] loss=1.0577, lr=0.0000013, metrics:accuracy:0.3870
INFO:root:10:34:12 [Epoch 1 Batch 330/12277] loss=1.0344, lr=0.0000013, metrics:accuracy:0.3891
INFO:root:10:34:13 [Epoch 1 Batch 340/12277] loss=1.0468, lr=0.0000014, metrics:accuracy:0.3921
INFO:root:10:34:16 [Epoch 1 Batch 350/12277] loss=1.0390, lr=0.0000014, metrics:accuracy:0.3946
INFO:root:10:34:17 [Epoch 1 Batch 360/12277] loss=1.0205, lr=0.0000015, metrics:accuracy:0.3972
INFO:root:10:34:19 [Epoch 1 Batch 370/12277] loss=1.0406, lr=0.0000015, metrics:accuracy:0.3993
INFO:root:10:34:21 [Epoch 1 Batch 380/12277] loss=1.0458, lr=0.0000015, metrics:accuracy:0.4005
INFO:root:10:34:22 [Epoch 1 Batch 390/12277] loss=1.0310, lr=0.0000016, metrics:accuracy:0.4021
INFO:root:10:34:24 [Epoch 1 Batch 400/12277] loss=1.0568, lr=0.0000016, metrics:accuracy:0.4037
INFO:root:10:34:25 [Epoch 1 Batch 410/12277] loss=1.0358, lr=0.0000017, metrics:accuracy:0.4047
INFO:root:10:34:27 [Epoch 1 Batch 420/12277] loss=1.0337, lr=0.0000017, metrics:accuracy:0.4066
INFO:root:10:34:29 [Epoch 1 Batch 430/12277] loss=1.0242, lr=0.0000017, metrics:accuracy:0.4086
INFO:root:10:34:30 [Epoch 1 Batch 440/12277] loss=1.0286, lr=0.0000018, metrics:accuracy:0.4101
INFO:root:10:34:31 [Epoch 1 Batch 450/12277] loss=1.0303, lr=0.0000018, metrics:accuracy:0.4112
INFO:root:10:34:33 [Epoch 1 Batch 460/12277] loss=1.0072, lr=0.0000019, metrics:accuracy:0.4134
INFO:root:10:34:35 [Epoch 1 Batch 470/12277] loss=1.0029, lr=0.0000019, metrics:accuracy:0.4158
INFO:root:10:34:37 [Epoch 1 Batch 480/12277] loss=1.0004, lr=0.0000020, metrics:accuracy:0.4176
INFO:root:10:34:38 [Epoch 1 Batch 490/12277] loss=1.0024, lr=0.0000020, metrics:accuracy:0.4190
INFO:root:10:34:40 [Epoch 1 Batch 500/12277] loss=1.0139, lr=0.0000020, metrics:accuracy:0.4202
INFO:root:10:34:42 [Epoch 1 Batch 510/12277] loss=0.9694, lr=0.0000021, metrics:accuracy:0.4228
INFO:root:10:34:43 [Epoch 1 Batch 520/12277] loss=0.9709, lr=0.0000021, metrics:accuracy:0.4245
INFO:root:10:34:45 [Epoch 1 Batch 530/12277] loss=0.9694, lr=0.0000022, metrics:accuracy:0.4272
INFO:root:10:34:47 [Epoch 1 Batch 540/12277] loss=0.9792, lr=0.0000022, metrics:accuracy:0.4290
INFO:root:10:34:49 [Epoch 1 Batch 550/12277] loss=1.0071, lr=0.0000022, metrics:accuracy:0.4302
INFO:root:10:34:50 [Epoch 1 Batch 560/12277] loss=0.9754, lr=0.0000023, metrics:accuracy:0.4323
INFO:root:10:34:52 [Epoch 1 Batch 570/12277] loss=0.9625, lr=0.0000023, metrics:accuracy:0.4342
INFO:root:10:34:54 [Epoch 1 Batch 580/12277] loss=0.9698, lr=0.0000024, metrics:accuracy:0.4364
INFO:root:10:34:55 [Epoch 1 Batch 590/12277] loss=0.9347, lr=0.0000024, metrics:accuracy:0.4387
INFO:root:10:34:57 [Epoch 1 Batch 600/12277] loss=0.8810, lr=0.0000024, metrics:accuracy:0.4418
INFO:root:10:34:58 [Epoch 1 Batch 610/12277] loss=0.9826, lr=0.0000025, metrics:accuracy:0.4438
INFO:root:10:35:00 [Epoch 1 Batch 620/12277] loss=0.9336, lr=0.0000025, metrics:accuracy:0.4463
INFO:root:10:35:02 [Epoch 1 Batch 630/12277] loss=0.9991, lr=0.0000026, metrics:accuracy:0.4476
INFO:root:10:35:03 [Epoch 1 Batch 640/12277] loss=0.8969, lr=0.0000026, metrics:accuracy:0.4499
INFO:root:10:35:05 [Epoch 1 Batch 650/12277] loss=0.9405, lr=0.0000026, metrics:accuracy:0.4512
INFO:root:10:35:06 [Epoch 1 Batch 660/12277] loss=0.8827, lr=0.0000027, metrics:accuracy:0.4537
INFO:root:10:35:08 [Epoch 1 Batch 670/12277] loss=0.9311, lr=0.0000027, metrics:accuracy:0.4558
INFO:root:10:35:09 [Epoch 1 Batch 680/12277] loss=0.8932, lr=0.0000028, metrics:accuracy:0.4579
INFO:root:10:35:11 [Epoch 1 Batch 690/12277] loss=0.8971, lr=0.0000028, metrics:accuracy:0.4601
INFO:root:10:35:13 [Epoch 1 Batch 700/12277] loss=0.9301, lr=0.0000028, metrics:accuracy:0.4618
INFO:root:10:35:14 [Epoch 1 Batch 710/12277] loss=0.9258, lr=0.0000029, metrics:accuracy:0.4630
INFO:root:10:35:16 [Epoch 1 Batch 720/12277] loss=0.9533, lr=0.0000029, metrics:accuracy:0.4641
INFO:root:10:35:17 [Epoch 1 Batch 730/12277] loss=0.8968, lr=0.0000030, metrics:accuracy:0.4657
INFO:root:10:35:19 [Epoch 1 Batch 740/12277] loss=0.8832, lr=0.0000030, metrics:accuracy:0.4677
INFO:root:10:35:20 [Epoch 1 Batch 750/12277] loss=0.8824, lr=0.0000031, metrics:accuracy:0.4693
INFO:root:10:35:22 [Epoch 1 Batch 760/12277] loss=0.8775, lr=0.0000031, metrics:accuracy:0.4715
INFO:root:10:35:23 [Epoch 1 Batch 770/12277] loss=0.8444, lr=0.0000031, metrics:accuracy:0.4740
INFO:root:10:35:25 [Epoch 1 Batch 780/12277] loss=0.9014, lr=0.0000032, metrics:accuracy:0.4751
INFO:root:10:35:26 [Epoch 1 Batch 790/12277] loss=0.8453, lr=0.0000032, metrics:accuracy:0.4772
INFO:root:10:35:28 [Epoch 1 Batch 800/12277] loss=0.8779, lr=0.0000033, metrics:accuracy:0.4784
INFO:root:10:35:29 [Epoch 1 Batch 810/12277] loss=0.8824, lr=0.0000033, metrics:accuracy:0.4803
INFO:root:10:35:31 [Epoch 1 Batch 820/12277] loss=0.9162, lr=0.0000033, metrics:accuracy:0.4815
INFO:root:10:35:33 [Epoch 1 Batch 830/12277] loss=0.8253, lr=0.0000034, metrics:accuracy:0.4833
INFO:root:10:35:34 [Epoch 1 Batch 840/12277] loss=0.8737, lr=0.0000034, metrics:accuracy:0.4848
INFO:root:10:35:36 [Epoch 1 Batch 850/12277] loss=0.8483, lr=0.0000035, metrics:accuracy:0.4867
INFO:root:10:35:37 [Epoch 1 Batch 860/12277] loss=0.8930, lr=0.0000035, metrics:accuracy:0.4879
INFO:root:10:35:39 [Epoch 1 Batch 870/12277] loss=0.8513, lr=0.0000035, metrics:accuracy:0.4892
INFO:root:10:35:40 [Epoch 1 Batch 880/12277] loss=0.8607, lr=0.0000036, metrics:accuracy:0.4904
INFO:root:10:35:42 [Epoch 1 Batch 890/12277] loss=0.8115, lr=0.0000036, metrics:accuracy:0.4921
INFO:root:10:35:44 [Epoch 1 Batch 900/12277] loss=0.9206, lr=0.0000037, metrics:accuracy:0.4929
INFO:root:10:35:45 [Epoch 1 Batch 910/12277] loss=0.8618, lr=0.0000037, metrics:accuracy:0.4943
INFO:root:10:35:47 [Epoch 1 Batch 920/12277] loss=0.8235, lr=0.0000037, metrics:accuracy:0.4960
INFO:root:10:35:49 [Epoch 1 Batch 930/12277] loss=0.8538, lr=0.0000038, metrics:accuracy:0.4977
INFO:root:10:35:50 [Epoch 1 Batch 940/12277] loss=0.8755, lr=0.0000038, metrics:accuracy:0.4986
INFO:root:10:35:52 [Epoch 1 Batch 950/12277] loss=0.8497, lr=0.0000039, metrics:accuracy:0.4998
INFO:root:10:35:53 [Epoch 1 Batch 960/12277] loss=0.8886, lr=0.0000039, metrics:accuracy:0.5008
INFO:root:10:35:55 [Epoch 1 Batch 970/12277] loss=0.8615, lr=0.0000039, metrics:accuracy:0.5019
INFO:root:10:35:56 [Epoch 1 Batch 980/12277] loss=0.8830, lr=0.0000040, metrics:accuracy:0.5029
INFO:root:10:35:57 [Epoch 1 Batch 990/12277] loss=0.8006, lr=0.0000040, metrics:accuracy:0.5044
INFO:root:10:35:59 [Epoch 1 Batch 1000/12277] loss=0.8611, lr=0.0000041, metrics:accuracy:0.5056
INFO:root:10:36:01 [Epoch 1 Batch 1010/12277] loss=0.8445, lr=0.0000041, metrics:accuracy:0.5069
INFO:root:10:36:02 [Epoch 1 Batch 1020/12277] loss=0.8458, lr=0.0000042, metrics:accuracy:0.5081
INFO:root:10:36:04 [Epoch 1 Batch 1030/12277] loss=0.7659, lr=0.0000042, metrics:accuracy:0.5100
INFO:root:10:36:05 [Epoch 1 Batch 1040/12277] loss=0.7928, lr=0.0000042, metrics:accuracy:0.5115
INFO:root:10:36:07 [Epoch 1 Batch 1050/12277] loss=0.8439, lr=0.0000043, metrics:accuracy:0.5127
INFO:root:10:36:09 [Epoch 1 Batch 1060/12277] loss=0.7919, lr=0.0000043, metrics:accuracy:0.5140
INFO:root:10:36:10 [Epoch 1 Batch 1070/12277] loss=0.8749, lr=0.0000044, metrics:accuracy:0.5148
INFO:root:10:36:12 [Epoch 1 Batch 1080/12277] loss=0.8502, lr=0.0000044, metrics:accuracy:0.5159
INFO:root:10:36:14 [Epoch 1 Batch 1090/12277] loss=0.8953, lr=0.0000044, metrics:accuracy:0.5166
INFO:root:10:36:16 [Epoch 1 Batch 1100/12277] loss=0.8264, lr=0.0000045, metrics:accuracy:0.5177
INFO:root:10:36:17 [Epoch 1 Batch 1110/12277] loss=0.9152, lr=0.0000045, metrics:accuracy:0.5184
INFO:root:10:36:19 [Epoch 1 Batch 1120/12277] loss=0.7968, lr=0.0000046, metrics:accuracy:0.5195
INFO:root:10:36:21 [Epoch 1 Batch 1130/12277] loss=0.7915, lr=0.0000046, metrics:accuracy:0.5205
INFO:root:10:36:22 [Epoch 1 Batch 1140/12277] loss=0.8566, lr=0.0000046, metrics:accuracy:0.5213
INFO:root:10:36:24 [Epoch 1 Batch 1150/12277] loss=0.8362, lr=0.0000047, metrics:accuracy:0.5225
INFO:root:10:36:25 [Epoch 1 Batch 1160/12277] loss=0.8281, lr=0.0000047, metrics:accuracy:0.5235
INFO:root:10:36:27 [Epoch 1 Batch 1170/12277] loss=0.8302, lr=0.0000048, metrics:accuracy:0.5242
INFO:root:10:36:29 [Epoch 1 Batch 1180/12277] loss=0.8063, lr=0.0000048, metrics:accuracy:0.5253
INFO:root:10:36:30 [Epoch 1 Batch 1190/12277] loss=0.8421, lr=0.0000048, metrics:accuracy:0.5259
INFO:root:10:36:32 [Epoch 1 Batch 1200/12277] loss=0.8008, lr=0.0000049, metrics:accuracy:0.5268
INFO:root:10:36:34 [Epoch 1 Batch 1210/12277] loss=0.8703, lr=0.0000049, metrics:accuracy:0.5276
INFO:root:10:36:35 [Epoch 1 Batch 1220/12277] loss=0.8307, lr=0.0000050, metrics:accuracy:0.5284
INFO:root:10:36:37 [Epoch 1 Batch 1230/12277] loss=0.8217, lr=0.0000050, metrics:accuracy:0.5293
INFO:root:10:36:38 [Epoch 1 Batch 1240/12277] loss=0.8435, lr=0.0000050, metrics:accuracy:0.5302
INFO:root:10:36:40 [Epoch 1 Batch 1250/12277] loss=0.8614, lr=0.0000051, metrics:accuracy:0.5309
INFO:root:10:36:42 [Epoch 1 Batch 1260/12277] loss=0.7704, lr=0.0000051, metrics:accuracy:0.5318
INFO:root:10:36:44 [Epoch 1 Batch 1270/12277] loss=0.8400, lr=0.0000052, metrics:accuracy:0.5326
INFO:root:10:36:45 [Epoch 1 Batch 1280/12277] loss=0.7880, lr=0.0000052, metrics:accuracy:0.5334
INFO:root:10:36:47 [Epoch 1 Batch 1290/12277] loss=0.8443, lr=0.0000053, metrics:accuracy:0.5343
INFO:root:10:36:49 [Epoch 1 Batch 1300/12277] loss=0.8055, lr=0.0000053, metrics:accuracy:0.5352
INFO:root:10:36:50 [Epoch 1 Batch 1310/12277] loss=0.7738, lr=0.0000053, metrics:accuracy:0.5362
INFO:root:10:36:52 [Epoch 1 Batch 1320/12277] loss=0.8071, lr=0.0000054, metrics:accuracy:0.5369
INFO:root:10:36:54 [Epoch 1 Batch 1330/12277] loss=0.8097, lr=0.0000054, metrics:accuracy:0.5377
INFO:root:10:36:56 [Epoch 1 Batch 1340/12277] loss=0.8114, lr=0.0000055, metrics:accuracy:0.5385
INFO:root:10:36:57 [Epoch 1 Batch 1350/12277] loss=0.7839, lr=0.0000055, metrics:accuracy:0.5393
INFO:root:10:36:59 [Epoch 1 Batch 1360/12277] loss=0.8315, lr=0.0000055, metrics:accuracy:0.5398
INFO:root:10:37:01 [Epoch 1 Batch 1370/12277] loss=0.7952, lr=0.0000056, metrics:accuracy:0.5409
INFO:root:10:37:02 [Epoch 1 Batch 1380/12277] loss=0.7237, lr=0.0000056, metrics:accuracy:0.5419
INFO:root:10:37:04 [Epoch 1 Batch 1390/12277] loss=0.7850, lr=0.0000057, metrics:accuracy:0.5428
INFO:root:10:37:06 [Epoch 1 Batch 1400/12277] loss=0.8244, lr=0.0000057, metrics:accuracy:0.5436
INFO:root:10:37:08 [Epoch 1 Batch 1410/12277] loss=0.7371, lr=0.0000057, metrics:accuracy:0.5444
INFO:root:10:37:09 [Epoch 1 Batch 1420/12277] loss=0.7574, lr=0.0000058, metrics:accuracy:0.5454
INFO:root:10:37:11 [Epoch 1 Batch 1430/12277] loss=0.7459, lr=0.0000058, metrics:accuracy:0.5463
INFO:root:10:37:13 [Epoch 1 Batch 1440/12277] loss=0.7821, lr=0.0000059, metrics:accuracy:0.5472
INFO:root:10:37:14 [Epoch 1 Batch 1450/12277] loss=0.7743, lr=0.0000059, metrics:accuracy:0.5479
INFO:root:10:37:15 [Epoch 1 Batch 1460/12277] loss=0.7489, lr=0.0000059, metrics:accuracy:0.5487
INFO:root:10:37:17 [Epoch 1 Batch 1470/12277] loss=0.7779, lr=0.0000060, metrics:accuracy:0.5495
INFO:root:10:37:19 [Epoch 1 Batch 1480/12277] loss=0.8124, lr=0.0000060, metrics:accuracy:0.5500
INFO:root:10:37:20 [Epoch 1 Batch 1490/12277] loss=0.7797, lr=0.0000061, metrics:accuracy:0.5508
INFO:root:10:37:22 [Epoch 1 Batch 1500/12277] loss=0.7601, lr=0.0000061, metrics:accuracy:0.5516
INFO:root:10:37:23 [Epoch 1 Batch 1510/12277] loss=0.7622, lr=0.0000061, metrics:accuracy:0.5525
INFO:root:10:37:25 [Epoch 1 Batch 1520/12277] loss=0.7522, lr=0.0000062, metrics:accuracy:0.5533
INFO:root:10:37:27 [Epoch 1 Batch 1530/12277] loss=0.7345, lr=0.0000062, metrics:accuracy:0.5542
INFO:root:10:37:28 [Epoch 1 Batch 1540/12277] loss=0.7665, lr=0.0000063, metrics:accuracy:0.5551
INFO:root:10:37:30 [Epoch 1 Batch 1550/12277] loss=0.7123, lr=0.0000063, metrics:accuracy:0.5561
INFO:root:10:37:32 [Epoch 1 Batch 1560/12277] loss=0.7656, lr=0.0000064, metrics:accuracy:0.5568
INFO:root:10:37:33 [Epoch 1 Batch 1570/12277] loss=0.7324, lr=0.0000064, metrics:accuracy:0.5576
INFO:root:10:37:35 [Epoch 1 Batch 1580/12277] loss=0.7983, lr=0.0000064, metrics:accuracy:0.5584
INFO:root:10:37:37 [Epoch 1 Batch 1590/12277] loss=0.8104, lr=0.0000065, metrics:accuracy:0.5591
INFO:root:10:37:38 [Epoch 1 Batch 1600/12277] loss=0.7240, lr=0.0000065, metrics:accuracy:0.5597
INFO:root:10:37:40 [Epoch 1 Batch 1610/12277] loss=0.7678, lr=0.0000066, metrics:accuracy:0.5603
INFO:root:10:37:42 [Epoch 1 Batch 1620/12277] loss=0.7987, lr=0.0000066, metrics:accuracy:0.5607
INFO:root:10:37:43 [Epoch 1 Batch 1630/12277] loss=0.8101, lr=0.0000066, metrics:accuracy:0.5613
INFO:root:10:37:45 [Epoch 1 Batch 1640/12277] loss=0.7575, lr=0.0000067, metrics:accuracy:0.5620
INFO:root:10:37:47 [Epoch 1 Batch 1650/12277] loss=0.7930, lr=0.0000067, metrics:accuracy:0.5625
INFO:root:10:37:49 [Epoch 1 Batch 1660/12277] loss=0.8010, lr=0.0000068, metrics:accuracy:0.5630
INFO:root:10:37:51 [Epoch 1 Batch 1670/12277] loss=0.7944, lr=0.0000068, metrics:accuracy:0.5635
INFO:root:10:37:52 [Epoch 1 Batch 1680/12277] loss=0.7874, lr=0.0000068, metrics:accuracy:0.5642
INFO:root:10:37:54 [Epoch 1 Batch 1690/12277] loss=0.7901, lr=0.0000069, metrics:accuracy:0.5649
INFO:root:10:37:56 [Epoch 1 Batch 1700/12277] loss=0.8086, lr=0.0000069, metrics:accuracy:0.5654
INFO:root:10:37:57 [Epoch 1 Batch 1710/12277] loss=0.7566, lr=0.0000070, metrics:accuracy:0.5661
INFO:root:10:37:59 [Epoch 1 Batch 1720/12277] loss=0.7162, lr=0.0000070, metrics:accuracy:0.5669
INFO:root:10:38:00 [Epoch 1 Batch 1730/12277] loss=0.6781, lr=0.0000070, metrics:accuracy:0.5677
INFO:root:10:38:02 [Epoch 1 Batch 1740/12277] loss=0.8182, lr=0.0000071, metrics:accuracy:0.5681
INFO:root:10:38:04 [Epoch 1 Batch 1750/12277] loss=0.7148, lr=0.0000071, metrics:accuracy:0.5687
INFO:root:10:38:05 [Epoch 1 Batch 1760/12277] loss=0.7869, lr=0.0000072, metrics:accuracy:0.5692
INFO:root:10:38:07 [Epoch 1 Batch 1770/12277] loss=0.8092, lr=0.0000072, metrics:accuracy:0.5696
INFO:root:10:38:09 [Epoch 1 Batch 1780/12277] loss=0.7701, lr=0.0000072, metrics:accuracy:0.5702
INFO:root:10:38:11 [Epoch 1 Batch 1790/12277] loss=0.8209, lr=0.0000073, metrics:accuracy:0.5703
INFO:root:10:38:12 [Epoch 1 Batch 1800/12277] loss=0.7848, lr=0.0000073, metrics:accuracy:0.5709
INFO:root:10:38:14 [Epoch 1 Batch 1810/12277] loss=0.7603, lr=0.0000074, metrics:accuracy:0.5714
INFO:root:10:38:16 [Epoch 1 Batch 1820/12277] loss=0.7671, lr=0.0000074, metrics:accuracy:0.5720
INFO:root:10:38:17 [Epoch 1 Batch 1830/12277] loss=0.8298, lr=0.0000075, metrics:accuracy:0.5724
INFO:root:10:38:19 [Epoch 1 Batch 1840/12277] loss=0.7766, lr=0.0000075, metrics:accuracy:0.5728
INFO:root:10:38:21 [Epoch 1 Batch 1850/12277] loss=0.7125, lr=0.0000075, metrics:accuracy:0.5734
INFO:root:10:38:22 [Epoch 1 Batch 1860/12277] loss=0.8482, lr=0.0000076, metrics:accuracy:0.5737
INFO:root:10:38:24 [Epoch 1 Batch 1870/12277] loss=0.7776, lr=0.0000076, metrics:accuracy:0.5742
INFO:root:10:38:25 [Epoch 1 Batch 1880/12277] loss=0.7725, lr=0.0000077, metrics:accuracy:0.5747
INFO:root:10:38:27 [Epoch 1 Batch 1890/12277] loss=0.7402, lr=0.0000077, metrics:accuracy:0.5752
INFO:root:10:38:29 [Epoch 1 Batch 1900/12277] loss=0.7450, lr=0.0000077, metrics:accuracy:0.5757
INFO:root:10:38:31 [Epoch 1 Batch 1910/12277] loss=0.7247, lr=0.0000078, metrics:accuracy:0.5762
INFO:root:10:38:32 [Epoch 1 Batch 1920/12277] loss=0.8429, lr=0.0000078, metrics:accuracy:0.5766
INFO:root:10:38:34 [Epoch 1 Batch 1930/12277] loss=0.7337, lr=0.0000079, metrics:accuracy:0.5773
INFO:root:10:38:36 [Epoch 1 Batch 1940/12277] loss=0.7935, lr=0.0000079, metrics:accuracy:0.5778
INFO:root:10:38:37 [Epoch 1 Batch 1950/12277] loss=0.6402, lr=0.0000079, metrics:accuracy:0.5787
INFO:root:10:38:39 [Epoch 1 Batch 1960/12277] loss=0.7730, lr=0.0000080, metrics:accuracy:0.5792
INFO:root:10:38:41 [Epoch 1 Batch 1970/12277] loss=0.7606, lr=0.0000080, metrics:accuracy:0.5798
INFO:root:10:38:42 [Epoch 1 Batch 1980/12277] loss=0.7149, lr=0.0000081, metrics:accuracy:0.5804
INFO:root:10:38:44 [Epoch 1 Batch 1990/12277] loss=0.7457, lr=0.0000081, metrics:accuracy:0.5809
INFO:root:10:38:46 [Epoch 1 Batch 2000/12277] loss=0.7793, lr=0.0000081, metrics:accuracy:0.5813
INFO:root:10:38:48 [Epoch 1 Batch 2010/12277] loss=0.7537, lr=0.0000082, metrics:accuracy:0.5817
INFO:root:10:38:49 [Epoch 1 Batch 2020/12277] loss=0.7450, lr=0.0000082, metrics:accuracy:0.5823
INFO:root:10:38:51 [Epoch 1 Batch 2030/12277] loss=0.7682, lr=0.0000083, metrics:accuracy:0.5827
INFO:root:10:38:53 [Epoch 1 Batch 2040/12277] loss=0.6917, lr=0.0000083, metrics:accuracy:0.5833
INFO:root:10:38:54 [Epoch 1 Batch 2050/12277] loss=0.7080, lr=0.0000083, metrics:accuracy:0.5840
INFO:root:10:38:56 [Epoch 1 Batch 2060/12277] loss=0.7472, lr=0.0000084, metrics:accuracy:0.5844
INFO:root:10:38:58 [Epoch 1 Batch 2070/12277] loss=0.7271, lr=0.0000084, metrics:accuracy:0.5850
INFO:root:10:38:59 [Epoch 1 Batch 2080/12277] loss=0.7220, lr=0.0000085, metrics:accuracy:0.5855
INFO:root:10:39:01 [Epoch 1 Batch 2090/12277] loss=0.7727, lr=0.0000085, metrics:accuracy:0.5858
INFO:root:10:39:02 [Epoch 1 Batch 2100/12277] loss=0.8194, lr=0.0000086, metrics:accuracy:0.5861
INFO:root:10:39:04 [Epoch 1 Batch 2110/12277] loss=0.6449, lr=0.0000086, metrics:accuracy:0.5869
INFO:root:10:39:06 [Epoch 1 Batch 2120/12277] loss=0.7120, lr=0.0000086, metrics:accuracy:0.5874
INFO:root:10:39:07 [Epoch 1 Batch 2130/12277] loss=0.6953, lr=0.0000087, metrics:accuracy:0.5880
INFO:root:10:39:09 [Epoch 1 Batch 2140/12277] loss=0.6696, lr=0.0000087, metrics:accuracy:0.5886
INFO:root:10:39:11 [Epoch 1 Batch 2150/12277] loss=0.6868, lr=0.0000088, metrics:accuracy:0.5891
INFO:root:10:39:12 [Epoch 1 Batch 2160/12277] loss=0.7472, lr=0.0000088, metrics:accuracy:0.5894
INFO:root:10:39:14 [Epoch 1 Batch 2170/12277] loss=0.7215, lr=0.0000088, metrics:accuracy:0.5901
INFO:root:10:39:16 [Epoch 1 Batch 2180/12277] loss=0.7955, lr=0.0000089, metrics:accuracy:0.5905
INFO:root:10:39:17 [Epoch 1 Batch 2190/12277] loss=0.6596, lr=0.0000089, metrics:accuracy:0.5912
INFO:root:10:39:19 [Epoch 1 Batch 2200/12277] loss=0.6973, lr=0.0000090, metrics:accuracy:0.5919
INFO:root:10:39:21 [Epoch 1 Batch 2210/12277] loss=0.8130, lr=0.0000090, metrics:accuracy:0.5920
INFO:root:10:39:22 [Epoch 1 Batch 2220/12277] loss=0.7589, lr=0.0000090, metrics:accuracy:0.5924
INFO:root:10:39:24 [Epoch 1 Batch 2230/12277] loss=0.7348, lr=0.0000091, metrics:accuracy:0.5929
INFO:root:10:39:26 [Epoch 1 Batch 2240/12277] loss=0.7294, lr=0.0000091, metrics:accuracy:0.5934
INFO:root:10:39:28 [Epoch 1 Batch 2250/12277] loss=0.7413, lr=0.0000092, metrics:accuracy:0.5937
INFO:root:10:39:29 [Epoch 1 Batch 2260/12277] loss=0.8025, lr=0.0000092, metrics:accuracy:0.5940
INFO:root:10:39:31 [Epoch 1 Batch 2270/12277] loss=0.7342, lr=0.0000092, metrics:accuracy:0.5942
INFO:root:10:39:33 [Epoch 1 Batch 2280/12277] loss=0.7513, lr=0.0000093, metrics:accuracy:0.5946
INFO:root:10:39:35 [Epoch 1 Batch 2290/12277] loss=0.8251, lr=0.0000093, metrics:accuracy:0.5948
INFO:root:10:39:36 [Epoch 1 Batch 2300/12277] loss=0.7215, lr=0.0000094, metrics:accuracy:0.5952
INFO:root:10:39:38 [Epoch 1 Batch 2310/12277] loss=0.7047, lr=0.0000094, metrics:accuracy:0.5956
INFO:root:10:39:40 [Epoch 1 Batch 2320/12277] loss=0.7785, lr=0.0000094, metrics:accuracy:0.5959
INFO:root:10:39:41 [Epoch 1 Batch 2330/12277] loss=0.7079, lr=0.0000095, metrics:accuracy:0.5964
INFO:root:10:39:43 [Epoch 1 Batch 2340/12277] loss=0.7651, lr=0.0000095, metrics:accuracy:0.5968
INFO:root:10:39:44 [Epoch 1 Batch 2350/12277] loss=0.6817, lr=0.0000096, metrics:accuracy:0.5973
INFO:root:10:39:46 [Epoch 1 Batch 2360/12277] loss=0.6639, lr=0.0000096, metrics:accuracy:0.5978
INFO:root:10:39:47 [Epoch 1 Batch 2370/12277] loss=0.7095, lr=0.0000097, metrics:accuracy:0.5983
INFO:root:10:39:49 [Epoch 1 Batch 2380/12277] loss=0.7359, lr=0.0000097, metrics:accuracy:0.5985
INFO:root:10:39:51 [Epoch 1 Batch 2390/12277] loss=0.7546, lr=0.0000097, metrics:accuracy:0.5988
INFO:root:10:39:52 [Epoch 1 Batch 2400/12277] loss=0.6949, lr=0.0000098, metrics:accuracy:0.5993
INFO:root:10:39:54 [Epoch 1 Batch 2410/12277] loss=0.6766, lr=0.0000098, metrics:accuracy:0.5998
INFO:root:10:39:55 [Epoch 1 Batch 2420/12277] loss=0.7046, lr=0.0000099, metrics:accuracy:0.6002
INFO:root:10:39:57 [Epoch 1 Batch 2430/12277] loss=0.7185, lr=0.0000099, metrics:accuracy:0.6005
INFO:root:10:39:58 [Epoch 1 Batch 2440/12277] loss=0.7608, lr=0.0000099, metrics:accuracy:0.6008
INFO:root:10:40:00 [Epoch 1 Batch 2450/12277] loss=0.7845, lr=0.0000100, metrics:accuracy:0.6011
INFO:root:10:40:02 [Epoch 1 Batch 2460/12277] loss=0.7133, lr=0.0000100, metrics:accuracy:0.6014
INFO:root:10:40:04 [Epoch 1 Batch 2470/12277] loss=0.6530, lr=0.0000101, metrics:accuracy:0.6019
INFO:root:10:40:05 [Epoch 1 Batch 2480/12277] loss=0.7730, lr=0.0000101, metrics:accuracy:0.6022
INFO:root:10:40:06 [Epoch 1 Batch 2490/12277] loss=0.7413, lr=0.0000101, metrics:accuracy:0.6026
INFO:root:10:40:08 [Epoch 1 Batch 2500/12277] loss=0.6849, lr=0.0000102, metrics:accuracy:0.6030
INFO:root:10:40:09 [Epoch 1 Batch 2510/12277] loss=0.6439, lr=0.0000102, metrics:accuracy:0.6035
INFO:root:10:40:11 [Epoch 1 Batch 2520/12277] loss=0.7072, lr=0.0000103, metrics:accuracy:0.6039
INFO:root:10:40:13 [Epoch 1 Batch 2530/12277] loss=0.6920, lr=0.0000103, metrics:accuracy:0.6042
INFO:root:10:40:14 [Epoch 1 Batch 2540/12277] loss=0.7322, lr=0.0000103, metrics:accuracy:0.6045
INFO:root:10:40:16 [Epoch 1 Batch 2550/12277] loss=0.6908, lr=0.0000104, metrics:accuracy:0.6049
INFO:root:10:40:17 [Epoch 1 Batch 2560/12277] loss=0.7219, lr=0.0000104, metrics:accuracy:0.6054
INFO:root:10:40:19 [Epoch 1 Batch 2570/12277] loss=0.6880, lr=0.0000105, metrics:accuracy:0.6057
INFO:root:10:40:21 [Epoch 1 Batch 2580/12277] loss=0.6923, lr=0.0000105, metrics:accuracy:0.6060
INFO:root:10:40:22 [Epoch 1 Batch 2590/12277] loss=0.7359, lr=0.0000106, metrics:accuracy:0.6065
INFO:root:10:40:24 [Epoch 1 Batch 2600/12277] loss=0.6817, lr=0.0000106, metrics:accuracy:0.6068
INFO:root:10:40:25 [Epoch 1 Batch 2610/12277] loss=0.6953, lr=0.0000106, metrics:accuracy:0.6072
INFO:root:10:40:27 [Epoch 1 Batch 2620/12277] loss=0.6638, lr=0.0000107, metrics:accuracy:0.6077
INFO:root:10:40:28 [Epoch 1 Batch 2630/12277] loss=0.6496, lr=0.0000107, metrics:accuracy:0.6081
INFO:root:10:40:30 [Epoch 1 Batch 2640/12277] loss=0.7025, lr=0.0000108, metrics:accuracy:0.6086
INFO:root:10:40:31 [Epoch 1 Batch 2650/12277] loss=0.7387, lr=0.0000108, metrics:accuracy:0.6090
INFO:root:10:40:32 [Epoch 1 Batch 2660/12277] loss=0.7669, lr=0.0000108, metrics:accuracy:0.6093
INFO:root:10:40:34 [Epoch 1 Batch 2670/12277] loss=0.6952, lr=0.0000109, metrics:accuracy:0.6096
INFO:root:10:40:35 [Epoch 1 Batch 2680/12277] loss=0.7129, lr=0.0000109, metrics:accuracy:0.6100
INFO:root:10:40:37 [Epoch 1 Batch 2690/12277] loss=0.7184, lr=0.0000110, metrics:accuracy:0.6103
INFO:root:10:40:38 [Epoch 1 Batch 2700/12277] loss=0.7209, lr=0.0000110, metrics:accuracy:0.6106
INFO:root:10:40:40 [Epoch 1 Batch 2710/12277] loss=0.7880, lr=0.0000110, metrics:accuracy:0.6108
INFO:root:10:40:42 [Epoch 1 Batch 2720/12277] loss=0.6653, lr=0.0000111, metrics:accuracy:0.6112
INFO:root:10:40:44 [Epoch 1 Batch 2730/12277] loss=0.7139, lr=0.0000111, metrics:accuracy:0.6115
INFO:root:10:40:45 [Epoch 1 Batch 2740/12277] loss=0.6489, lr=0.0000112, metrics:accuracy:0.6119
INFO:root:10:40:47 [Epoch 1 Batch 2750/12277] loss=0.7589, lr=0.0000112, metrics:accuracy:0.6121
INFO:root:10:40:48 [Epoch 1 Batch 2760/12277] loss=0.6371, lr=0.0000112, metrics:accuracy:0.6127
INFO:root:10:40:50 [Epoch 1 Batch 2770/12277] loss=0.7473, lr=0.0000113, metrics:accuracy:0.6130
INFO:root:10:40:52 [Epoch 1 Batch 2780/12277] loss=0.7389, lr=0.0000113, metrics:accuracy:0.6133
INFO:root:10:40:53 [Epoch 1 Batch 2790/12277] loss=0.6712, lr=0.0000114, metrics:accuracy:0.6137
INFO:root:10:40:56 [Epoch 1 Batch 2800/12277] loss=0.7642, lr=0.0000114, metrics:accuracy:0.6139
INFO:root:10:40:57 [Epoch 1 Batch 2810/12277] loss=0.7674, lr=0.0000114, metrics:accuracy:0.6141
INFO:root:10:40:59 [Epoch 1 Batch 2820/12277] loss=0.7265, lr=0.0000115, metrics:accuracy:0.6144
INFO:root:10:41:00 [Epoch 1 Batch 2830/12277] loss=0.6849, lr=0.0000115, metrics:accuracy:0.6148
INFO:root:10:41:02 [Epoch 1 Batch 2840/12277] loss=0.6142, lr=0.0000116, metrics:accuracy:0.6153
INFO:root:10:41:04 [Epoch 1 Batch 2850/12277] loss=0.7375, lr=0.0000116, metrics:accuracy:0.6157
INFO:root:10:41:05 [Epoch 1 Batch 2860/12277] loss=0.6425, lr=0.0000117, metrics:accuracy:0.6161
INFO:root:10:41:07 [Epoch 1 Batch 2870/12277] loss=0.7210, lr=0.0000117, metrics:accuracy:0.6163
INFO:root:10:41:08 [Epoch 1 Batch 2880/12277] loss=0.7064, lr=0.0000117, metrics:accuracy:0.6166
INFO:root:10:41:10 [Epoch 1 Batch 2890/12277] loss=0.7167, lr=0.0000118, metrics:accuracy:0.6170
INFO:root:10:41:11 [Epoch 1 Batch 2900/12277] loss=0.7056, lr=0.0000118, metrics:accuracy:0.6173
INFO:root:10:41:13 [Epoch 1 Batch 2910/12277] loss=0.8173, lr=0.0000119, metrics:accuracy:0.6175
INFO:root:10:41:15 [Epoch 1 Batch 2920/12277] loss=0.7468, lr=0.0000119, metrics:accuracy:0.6178
INFO:root:10:41:16 [Epoch 1 Batch 2930/12277] loss=0.6543, lr=0.0000119, metrics:accuracy:0.6181
INFO:root:10:41:18 [Epoch 1 Batch 2940/12277] loss=0.7440, lr=0.0000120, metrics:accuracy:0.6184
INFO:root:10:41:19 [Epoch 1 Batch 2950/12277] loss=0.6601, lr=0.0000120, metrics:accuracy:0.6188
INFO:root:10:41:21 [Epoch 1 Batch 2960/12277] loss=0.6329, lr=0.0000121, metrics:accuracy:0.6192
INFO:root:10:41:23 [Epoch 1 Batch 2970/12277] loss=0.7565, lr=0.0000121, metrics:accuracy:0.6194
INFO:root:10:41:25 [Epoch 1 Batch 2980/12277] loss=0.6560, lr=0.0000121, metrics:accuracy:0.6197
INFO:root:10:41:26 [Epoch 1 Batch 2990/12277] loss=0.6987, lr=0.0000122, metrics:accuracy:0.6201
INFO:root:10:41:27 [Epoch 1 Batch 3000/12277] loss=0.7277, lr=0.0000122, metrics:accuracy:0.6204
INFO:root:10:41:29 [Epoch 1 Batch 3010/12277] loss=0.6817, lr=0.0000123, metrics:accuracy:0.6207
INFO:root:10:41:31 [Epoch 1 Batch 3020/12277] loss=0.7285, lr=0.0000123, metrics:accuracy:0.6209
INFO:root:10:41:32 [Epoch 1 Batch 3030/12277] loss=0.7290, lr=0.0000123, metrics:accuracy:0.6211
INFO:root:10:41:34 [Epoch 1 Batch 3040/12277] loss=0.7135, lr=0.0000124, metrics:accuracy:0.6213
INFO:root:10:41:36 [Epoch 1 Batch 3050/12277] loss=0.7269, lr=0.0000124, metrics:accuracy:0.6216
INFO:root:10:41:38 [Epoch 1 Batch 3060/12277] loss=0.6810, lr=0.0000125, metrics:accuracy:0.6219
INFO:root:10:41:39 [Epoch 1 Batch 3070/12277] loss=0.7759, lr=0.0000125, metrics:accuracy:0.6220
INFO:root:10:41:41 [Epoch 1 Batch 3080/12277] loss=0.7274, lr=0.0000125, metrics:accuracy:0.6222
INFO:root:10:41:43 [Epoch 1 Batch 3090/12277] loss=0.7023, lr=0.0000126, metrics:accuracy:0.6225
INFO:root:10:41:44 [Epoch 1 Batch 3100/12277] loss=0.7186, lr=0.0000126, metrics:accuracy:0.6228
INFO:root:10:41:46 [Epoch 1 Batch 3110/12277] loss=0.7233, lr=0.0000127, metrics:accuracy:0.6231
INFO:root:10:41:48 [Epoch 1 Batch 3120/12277] loss=0.6586, lr=0.0000127, metrics:accuracy:0.6234
INFO:root:10:41:49 [Epoch 1 Batch 3130/12277] loss=0.6867, lr=0.0000128, metrics:accuracy:0.6237
INFO:root:10:41:51 [Epoch 1 Batch 3140/12277] loss=0.6883, lr=0.0000128, metrics:accuracy:0.6239
INFO:root:10:41:53 [Epoch 1 Batch 3150/12277] loss=0.7239, lr=0.0000128, metrics:accuracy:0.6241
INFO:root:10:41:54 [Epoch 1 Batch 3160/12277] loss=0.7249, lr=0.0000129, metrics:accuracy:0.6244
INFO:root:10:41:56 [Epoch 1 Batch 3170/12277] loss=0.6777, lr=0.0000129, metrics:accuracy:0.6247
INFO:root:10:41:58 [Epoch 1 Batch 3180/12277] loss=0.6679, lr=0.0000130, metrics:accuracy:0.6250
INFO:root:10:41:59 [Epoch 1 Batch 3190/12277] loss=0.6382, lr=0.0000130, metrics:accuracy:0.6253
INFO:root:10:42:01 [Epoch 1 Batch 3200/12277] loss=0.7436, lr=0.0000130, metrics:accuracy:0.6255
INFO:root:10:42:03 [Epoch 1 Batch 3210/12277] loss=0.6655, lr=0.0000131, metrics:accuracy:0.6258
INFO:root:10:42:04 [Epoch 1 Batch 3220/12277] loss=0.6648, lr=0.0000131, metrics:accuracy:0.6260
INFO:root:10:42:05 [Epoch 1 Batch 3230/12277] loss=0.6298, lr=0.0000132, metrics:accuracy:0.6263
INFO:root:10:42:07 [Epoch 1 Batch 3240/12277] loss=0.8166, lr=0.0000132, metrics:accuracy:0.6264
INFO:root:10:42:08 [Epoch 1 Batch 3250/12277] loss=0.6623, lr=0.0000132, metrics:accuracy:0.6267
INFO:root:10:42:10 [Epoch 1 Batch 3260/12277] loss=0.6170, lr=0.0000133, metrics:accuracy:0.6270
INFO:root:10:42:11 [Epoch 1 Batch 3270/12277] loss=0.6558, lr=0.0000133, metrics:accuracy:0.6274
INFO:root:10:42:13 [Epoch 1 Batch 3280/12277] loss=0.7298, lr=0.0000134, metrics:accuracy:0.6276
INFO:root:10:42:14 [Epoch 1 Batch 3290/12277] loss=0.6804, lr=0.0000134, metrics:accuracy:0.6278
INFO:root:10:42:16 [Epoch 1 Batch 3300/12277] loss=0.6549, lr=0.0000134, metrics:accuracy:0.6281
INFO:root:10:42:17 [Epoch 1 Batch 3310/12277] loss=0.7416, lr=0.0000135, metrics:accuracy:0.6283
INFO:root:10:42:19 [Epoch 1 Batch 3320/12277] loss=0.7241, lr=0.0000135, metrics:accuracy:0.6286
INFO:root:10:42:21 [Epoch 1 Batch 3330/12277] loss=0.6177, lr=0.0000136, metrics:accuracy:0.6289
INFO:root:10:42:22 [Epoch 1 Batch 3340/12277] loss=0.7316, lr=0.0000136, metrics:accuracy:0.6291
INFO:root:10:42:24 [Epoch 1 Batch 3350/12277] loss=0.7062, lr=0.0000136, metrics:accuracy:0.6293
INFO:root:10:42:26 [Epoch 1 Batch 3360/12277] loss=0.6599, lr=0.0000137, metrics:accuracy:0.6296
INFO:root:10:42:28 [Epoch 1 Batch 3370/12277] loss=0.5521, lr=0.0000137, metrics:accuracy:0.6300
INFO:root:10:42:30 [Epoch 1 Batch 3380/12277] loss=0.6385, lr=0.0000138, metrics:accuracy:0.6302
INFO:root:10:42:32 [Epoch 1 Batch 3390/12277] loss=0.7148, lr=0.0000138, metrics:accuracy:0.6305
INFO:root:10:42:33 [Epoch 1 Batch 3400/12277] loss=0.6853, lr=0.0000139, metrics:accuracy:0.6307
INFO:root:10:42:35 [Epoch 1 Batch 3410/12277] loss=0.7447, lr=0.0000139, metrics:accuracy:0.6309
INFO:root:10:42:36 [Epoch 1 Batch 3420/12277] loss=0.6494, lr=0.0000139, metrics:accuracy:0.6313
INFO:root:10:42:38 [Epoch 1 Batch 3430/12277] loss=0.6898, lr=0.0000140, metrics:accuracy:0.6315
INFO:root:10:42:39 [Epoch 1 Batch 3440/12277] loss=0.7054, lr=0.0000140, metrics:accuracy:0.6318
INFO:root:10:42:41 [Epoch 1 Batch 3450/12277] loss=0.6768, lr=0.0000141, metrics:accuracy:0.6319
INFO:root:10:42:42 [Epoch 1 Batch 3460/12277] loss=0.6947, lr=0.0000141, metrics:accuracy:0.6322
INFO:root:10:42:44 [Epoch 1 Batch 3470/12277] loss=0.7372, lr=0.0000141, metrics:accuracy:0.6324
INFO:root:10:42:46 [Epoch 1 Batch 3480/12277] loss=0.6422, lr=0.0000142, metrics:accuracy:0.6326
INFO:root:10:42:47 [Epoch 1 Batch 3490/12277] loss=0.6888, lr=0.0000142, metrics:accuracy:0.6328
INFO:root:10:42:49 [Epoch 1 Batch 3500/12277] loss=0.7038, lr=0.0000143, metrics:accuracy:0.6331
INFO:root:10:42:51 [Epoch 1 Batch 3510/12277] loss=0.6721, lr=0.0000143, metrics:accuracy:0.6334
INFO:root:10:42:53 [Epoch 1 Batch 3520/12277] loss=0.6800, lr=0.0000143, metrics:accuracy:0.6337
INFO:root:10:42:54 [Epoch 1 Batch 3530/12277] loss=0.7071, lr=0.0000144, metrics:accuracy:0.6339
INFO:root:10:42:56 [Epoch 1 Batch 3540/12277] loss=0.7205, lr=0.0000144, metrics:accuracy:0.6340
INFO:root:10:42:57 [Epoch 1 Batch 3550/12277] loss=0.6684, lr=0.0000145, metrics:accuracy:0.6342
INFO:root:10:42:59 [Epoch 1 Batch 3560/12277] loss=0.6212, lr=0.0000145, metrics:accuracy:0.6345
INFO:root:10:43:01 [Epoch 1 Batch 3570/12277] loss=0.7271, lr=0.0000145, metrics:accuracy:0.6347
INFO:root:10:43:02 [Epoch 1 Batch 3580/12277] loss=0.6847, lr=0.0000146, metrics:accuracy:0.6350
INFO:root:10:43:04 [Epoch 1 Batch 3590/12277] loss=0.7046, lr=0.0000146, metrics:accuracy:0.6352
INFO:root:10:43:05 [Epoch 1 Batch 3600/12277] loss=0.6654, lr=0.0000147, metrics:accuracy:0.6355
INFO:root:10:43:07 [Epoch 1 Batch 3610/12277] loss=0.7638, lr=0.0000147, metrics:accuracy:0.6355
INFO:root:10:43:08 [Epoch 1 Batch 3620/12277] loss=0.6772, lr=0.0000147, metrics:accuracy:0.6358
INFO:root:10:43:10 [Epoch 1 Batch 3630/12277] loss=0.6840, lr=0.0000148, metrics:accuracy:0.6360
INFO:root:10:43:12 [Epoch 1 Batch 3640/12277] loss=0.6127, lr=0.0000148, metrics:accuracy:0.6363
INFO:root:10:43:13 [Epoch 1 Batch 3650/12277] loss=0.6952, lr=0.0000149, metrics:accuracy:0.6365
INFO:root:10:43:15 [Epoch 1 Batch 3660/12277] loss=0.7006, lr=0.0000149, metrics:accuracy:0.6367
INFO:root:10:43:16 [Epoch 1 Batch 3670/12277] loss=0.7206, lr=0.0000150, metrics:accuracy:0.6369
INFO:root:10:43:18 [Epoch 1 Batch 3680/12277] loss=0.6508, lr=0.0000150, metrics:accuracy:0.6372
INFO:root:10:43:19 [Epoch 1 Batch 3690/12277] loss=0.6468, lr=0.0000150, metrics:accuracy:0.6374
INFO:root:10:43:21 [Epoch 1 Batch 3700/12277] loss=0.7168, lr=0.0000151, metrics:accuracy:0.6376
INFO:root:10:43:22 [Epoch 1 Batch 3710/12277] loss=0.6352, lr=0.0000151, metrics:accuracy:0.6378
INFO:root:10:43:24 [Epoch 1 Batch 3720/12277] loss=0.7194, lr=0.0000152, metrics:accuracy:0.6379
INFO:root:10:43:26 [Epoch 1 Batch 3730/12277] loss=0.6157, lr=0.0000152, metrics:accuracy:0.6382
INFO:root:10:43:27 [Epoch 1 Batch 3740/12277] loss=0.6200, lr=0.0000152, metrics:accuracy:0.6385
INFO:root:10:43:28 [Epoch 1 Batch 3750/12277] loss=0.7708, lr=0.0000153, metrics:accuracy:0.6386
INFO:root:10:43:30 [Epoch 1 Batch 3760/12277] loss=0.7286, lr=0.0000153, metrics:accuracy:0.6387
INFO:root:10:43:32 [Epoch 1 Batch 3770/12277] loss=0.6506, lr=0.0000154, metrics:accuracy:0.6390
INFO:root:10:43:34 [Epoch 1 Batch 3780/12277] loss=0.7063, lr=0.0000154, metrics:accuracy:0.6391
INFO:root:10:43:36 [Epoch 1 Batch 3790/12277] loss=0.6736, lr=0.0000154, metrics:accuracy:0.6393
INFO:root:10:43:37 [Epoch 1 Batch 3800/12277] loss=0.6623, lr=0.0000155, metrics:accuracy:0.6395
INFO:root:10:43:39 [Epoch 1 Batch 3810/12277] loss=0.5852, lr=0.0000155, metrics:accuracy:0.6398
INFO:root:10:43:41 [Epoch 1 Batch 3820/12277] loss=0.6915, lr=0.0000156, metrics:accuracy:0.6400
INFO:root:10:43:43 [Epoch 1 Batch 3830/12277] loss=0.7398, lr=0.0000156, metrics:accuracy:0.6401
INFO:root:10:43:44 [Epoch 1 Batch 3840/12277] loss=0.5872, lr=0.0000156, metrics:accuracy:0.6404
INFO:root:10:43:46 [Epoch 1 Batch 3850/12277] loss=0.7336, lr=0.0000157, metrics:accuracy:0.6405
INFO:root:10:43:48 [Epoch 1 Batch 3860/12277] loss=0.6568, lr=0.0000157, metrics:accuracy:0.6407
INFO:root:10:43:49 [Epoch 1 Batch 3870/12277] loss=0.6764, lr=0.0000158, metrics:accuracy:0.6409
INFO:root:10:43:51 [Epoch 1 Batch 3880/12277] loss=0.7611, lr=0.0000158, metrics:accuracy:0.6410
INFO:root:10:43:52 [Epoch 1 Batch 3890/12277] loss=0.7234, lr=0.0000158, metrics:accuracy:0.6411
INFO:root:10:43:54 [Epoch 1 Batch 3900/12277] loss=0.6723, lr=0.0000159, metrics:accuracy:0.6413
INFO:root:10:43:55 [Epoch 1 Batch 3910/12277] loss=0.7112, lr=0.0000159, metrics:accuracy:0.6415
INFO:root:10:43:57 [Epoch 1 Batch 3920/12277] loss=0.6594, lr=0.0000160, metrics:accuracy:0.6417
INFO:root:10:43:59 [Epoch 1 Batch 3930/12277] loss=0.6881, lr=0.0000160, metrics:accuracy:0.6420
INFO:root:10:44:00 [Epoch 1 Batch 3940/12277] loss=0.6511, lr=0.0000161, metrics:accuracy:0.6422
INFO:root:10:44:02 [Epoch 1 Batch 3950/12277] loss=0.6954, lr=0.0000161, metrics:accuracy:0.6424
INFO:root:10:44:03 [Epoch 1 Batch 3960/12277] loss=0.7229, lr=0.0000161, metrics:accuracy:0.6424
INFO:root:10:44:05 [Epoch 1 Batch 3970/12277] loss=0.6783, lr=0.0000162, metrics:accuracy:0.6427
INFO:root:10:44:07 [Epoch 1 Batch 3980/12277] loss=0.6763, lr=0.0000162, metrics:accuracy:0.6429
INFO:root:10:44:08 [Epoch 1 Batch 3990/12277] loss=0.7231, lr=0.0000163, metrics:accuracy:0.6430
INFO:root:10:44:10 [Epoch 1 Batch 4000/12277] loss=0.6640, lr=0.0000163, metrics:accuracy:0.6432
INFO:root:10:44:11 [Epoch 1 Batch 4010/12277] loss=0.6635, lr=0.0000163, metrics:accuracy:0.6433
INFO:root:10:44:13 [Epoch 1 Batch 4020/12277] loss=0.6541, lr=0.0000164, metrics:accuracy:0.6436
INFO:root:10:44:14 [Epoch 1 Batch 4030/12277] loss=0.6256, lr=0.0000164, metrics:accuracy:0.6438
INFO:root:10:44:16 [Epoch 1 Batch 4040/12277] loss=0.6956, lr=0.0000165, metrics:accuracy:0.6440
INFO:root:10:44:18 [Epoch 1 Batch 4050/12277] loss=0.7038, lr=0.0000165, metrics:accuracy:0.6440
INFO:root:10:44:19 [Epoch 1 Batch 4060/12277] loss=0.7239, lr=0.0000165, metrics:accuracy:0.6441
INFO:root:10:44:21 [Epoch 1 Batch 4070/12277] loss=0.6594, lr=0.0000166, metrics:accuracy:0.6443
INFO:root:10:44:22 [Epoch 1 Batch 4080/12277] loss=0.6376, lr=0.0000166, metrics:accuracy:0.6446
INFO:root:10:44:24 [Epoch 1 Batch 4090/12277] loss=0.7123, lr=0.0000167, metrics:accuracy:0.6448
INFO:root:10:44:25 [Epoch 1 Batch 4100/12277] loss=0.7005, lr=0.0000167, metrics:accuracy:0.6448
INFO:root:10:44:27 [Epoch 1 Batch 4110/12277] loss=0.6402, lr=0.0000167, metrics:accuracy:0.6451
INFO:root:10:44:29 [Epoch 1 Batch 4120/12277] loss=0.6495, lr=0.0000168, metrics:accuracy:0.6453
INFO:root:10:44:30 [Epoch 1 Batch 4130/12277] loss=0.6495, lr=0.0000168, metrics:accuracy:0.6455
INFO:root:10:44:32 [Epoch 1 Batch 4140/12277] loss=0.7097, lr=0.0000169, metrics:accuracy:0.6456
INFO:root:10:44:34 [Epoch 1 Batch 4150/12277] loss=0.7084, lr=0.0000169, metrics:accuracy:0.6457
INFO:root:10:44:35 [Epoch 1 Batch 4160/12277] loss=0.6227, lr=0.0000169, metrics:accuracy:0.6459
INFO:root:10:44:36 [Epoch 1 Batch 4170/12277] loss=0.7085, lr=0.0000170, metrics:accuracy:0.6460
INFO:root:10:44:38 [Epoch 1 Batch 4180/12277] loss=0.6746, lr=0.0000170, metrics:accuracy:0.6462
INFO:root:10:44:40 [Epoch 1 Batch 4190/12277] loss=0.6479, lr=0.0000171, metrics:accuracy:0.6464
INFO:root:10:44:41 [Epoch 1 Batch 4200/12277] loss=0.7019, lr=0.0000171, metrics:accuracy:0.6465
INFO:root:10:44:43 [Epoch 1 Batch 4210/12277] loss=0.6834, lr=0.0000172, metrics:accuracy:0.6467
INFO:root:10:44:44 [Epoch 1 Batch 4220/12277] loss=0.6090, lr=0.0000172, metrics:accuracy:0.6469
INFO:root:10:44:46 [Epoch 1 Batch 4230/12277] loss=0.7185, lr=0.0000172, metrics:accuracy:0.6471
INFO:root:10:44:48 [Epoch 1 Batch 4240/12277] loss=0.6842, lr=0.0000173, metrics:accuracy:0.6473
INFO:root:10:44:49 [Epoch 1 Batch 4250/12277] loss=0.6096, lr=0.0000173, metrics:accuracy:0.6475
INFO:root:10:44:51 [Epoch 1 Batch 4260/12277] loss=0.7474, lr=0.0000174, metrics:accuracy:0.6476
INFO:root:10:44:52 [Epoch 1 Batch 4270/12277] loss=0.6112, lr=0.0000174, metrics:accuracy:0.6479
INFO:root:10:44:54 [Epoch 1 Batch 4280/12277] loss=0.6518, lr=0.0000174, metrics:accuracy:0.6481
INFO:root:10:44:56 [Epoch 1 Batch 4290/12277] loss=0.6091, lr=0.0000175, metrics:accuracy:0.6483
INFO:root:10:44:58 [Epoch 1 Batch 4300/12277] loss=0.6652, lr=0.0000175, metrics:accuracy:0.6485
INFO:root:10:44:59 [Epoch 1 Batch 4310/12277] loss=0.6839, lr=0.0000176, metrics:accuracy:0.6486
INFO:root:10:45:01 [Epoch 1 Batch 4320/12277] loss=0.7256, lr=0.0000176, metrics:accuracy:0.6488
INFO:root:10:45:02 [Epoch 1 Batch 4330/12277] loss=0.6816, lr=0.0000176, metrics:accuracy:0.6489
INFO:root:10:45:04 [Epoch 1 Batch 4340/12277] loss=0.6129, lr=0.0000177, metrics:accuracy:0.6491
INFO:root:10:45:05 [Epoch 1 Batch 4350/12277] loss=0.6040, lr=0.0000177, metrics:accuracy:0.6495
INFO:root:10:45:07 [Epoch 1 Batch 4360/12277] loss=0.5861, lr=0.0000178, metrics:accuracy:0.6497
INFO:root:10:45:08 [Epoch 1 Batch 4370/12277] loss=0.6940, lr=0.0000178, metrics:accuracy:0.6499
INFO:root:10:45:10 [Epoch 1 Batch 4380/12277] loss=0.6470, lr=0.0000178, metrics:accuracy:0.6501
INFO:root:10:45:11 [Epoch 1 Batch 4390/12277] loss=0.7295, lr=0.0000179, metrics:accuracy:0.6502
INFO:root:10:45:13 [Epoch 1 Batch 4400/12277] loss=0.7445, lr=0.0000179, metrics:accuracy:0.6504
INFO:root:10:45:14 [Epoch 1 Batch 4410/12277] loss=0.6806, lr=0.0000180, metrics:accuracy:0.6505
INFO:root:10:45:16 [Epoch 1 Batch 4420/12277] loss=0.6593, lr=0.0000180, metrics:accuracy:0.6507
INFO:root:10:45:17 [Epoch 1 Batch 4430/12277] loss=0.6729, lr=0.0000180, metrics:accuracy:0.6509
INFO:root:10:45:19 [Epoch 1 Batch 4440/12277] loss=0.7108, lr=0.0000181, metrics:accuracy:0.6511
INFO:root:10:45:21 [Epoch 1 Batch 4450/12277] loss=0.6997, lr=0.0000181, metrics:accuracy:0.6512
INFO:root:10:45:22 [Epoch 1 Batch 4460/12277] loss=0.6695, lr=0.0000182, metrics:accuracy:0.6514
INFO:root:10:45:24 [Epoch 1 Batch 4470/12277] loss=0.6385, lr=0.0000182, metrics:accuracy:0.6516
INFO:root:10:45:26 [Epoch 1 Batch 4480/12277] loss=0.7108, lr=0.0000183, metrics:accuracy:0.6516
INFO:root:10:45:27 [Epoch 1 Batch 4490/12277] loss=0.6349, lr=0.0000183, metrics:accuracy:0.6518
INFO:root:10:45:29 [Epoch 1 Batch 4500/12277] loss=0.7199, lr=0.0000183, metrics:accuracy:0.6519
INFO:root:10:45:30 [Epoch 1 Batch 4510/12277] loss=0.6489, lr=0.0000184, metrics:accuracy:0.6521
INFO:root:10:45:32 [Epoch 1 Batch 4520/12277] loss=0.6502, lr=0.0000184, metrics:accuracy:0.6523
INFO:root:10:45:33 [Epoch 1 Batch 4530/12277] loss=0.6065, lr=0.0000185, metrics:accuracy:0.6526
INFO:root:10:45:35 [Epoch 1 Batch 4540/12277] loss=0.7052, lr=0.0000185, metrics:accuracy:0.6527
INFO:root:10:45:36 [Epoch 1 Batch 4550/12277] loss=0.6300, lr=0.0000185, metrics:accuracy:0.6529
INFO:root:10:45:38 [Epoch 1 Batch 4560/12277] loss=0.6761, lr=0.0000186, metrics:accuracy:0.6530
INFO:root:10:45:40 [Epoch 1 Batch 4570/12277] loss=0.6866, lr=0.0000186, metrics:accuracy:0.6532
INFO:root:10:45:41 [Epoch 1 Batch 4580/12277] loss=0.5432, lr=0.0000187, metrics:accuracy:0.6535
INFO:root:10:45:43 [Epoch 1 Batch 4590/12277] loss=0.7584, lr=0.0000187, metrics:accuracy:0.6535
INFO:root:10:45:45 [Epoch 1 Batch 4600/12277] loss=0.7280, lr=0.0000187, metrics:accuracy:0.6536
INFO:root:10:45:47 [Epoch 1 Batch 4610/12277] loss=0.7100, lr=0.0000188, metrics:accuracy:0.6537
INFO:root:10:45:48 [Epoch 1 Batch 4620/12277] loss=0.6796, lr=0.0000188, metrics:accuracy:0.6538
INFO:root:10:45:50 [Epoch 1 Batch 4630/12277] loss=0.6933, lr=0.0000189, metrics:accuracy:0.6540
INFO:root:10:45:52 [Epoch 1 Batch 4640/12277] loss=0.7402, lr=0.0000189, metrics:accuracy:0.6541
INFO:root:10:45:53 [Epoch 1 Batch 4650/12277] loss=0.6796, lr=0.0000189, metrics:accuracy:0.6543
INFO:root:10:45:55 [Epoch 1 Batch 4660/12277] loss=0.6827, lr=0.0000190, metrics:accuracy:0.6544
INFO:root:10:45:57 [Epoch 1 Batch 4670/12277] loss=0.7233, lr=0.0000190, metrics:accuracy:0.6546
INFO:root:10:45:58 [Epoch 1 Batch 4680/12277] loss=0.6715, lr=0.0000191, metrics:accuracy:0.6547
INFO:root:10:46:00 [Epoch 1 Batch 4690/12277] loss=0.5785, lr=0.0000191, metrics:accuracy:0.6550
INFO:root:10:46:02 [Epoch 1 Batch 4700/12277] loss=0.5997, lr=0.0000191, metrics:accuracy:0.6552
INFO:root:10:46:04 [Epoch 1 Batch 4710/12277] loss=0.6706, lr=0.0000192, metrics:accuracy:0.6553
INFO:root:10:46:05 [Epoch 1 Batch 4720/12277] loss=0.6505, lr=0.0000192, metrics:accuracy:0.6555
INFO:root:10:46:07 [Epoch 1 Batch 4730/12277] loss=0.6279, lr=0.0000193, metrics:accuracy:0.6557
INFO:root:10:46:08 [Epoch 1 Batch 4740/12277] loss=0.6473, lr=0.0000193, metrics:accuracy:0.6559
INFO:root:10:46:10 [Epoch 1 Batch 4750/12277] loss=0.7107, lr=0.0000194, metrics:accuracy:0.6560
INFO:root:10:46:11 [Epoch 1 Batch 4760/12277] loss=0.6896, lr=0.0000194, metrics:accuracy:0.6561
INFO:root:10:46:13 [Epoch 1 Batch 4770/12277] loss=0.6543, lr=0.0000194, metrics:accuracy:0.6563
INFO:root:10:46:15 [Epoch 1 Batch 4780/12277] loss=0.6978, lr=0.0000195, metrics:accuracy:0.6563
INFO:root:10:46:17 [Epoch 1 Batch 4790/12277] loss=0.6168, lr=0.0000195, metrics:accuracy:0.6566
INFO:root:10:46:18 [Epoch 1 Batch 4800/12277] loss=0.6286, lr=0.0000196, metrics:accuracy:0.6567
INFO:root:10:46:20 [Epoch 1 Batch 4810/12277] loss=0.6598, lr=0.0000196, metrics:accuracy:0.6568
INFO:root:10:46:21 [Epoch 1 Batch 4820/12277] loss=0.6576, lr=0.0000196, metrics:accuracy:0.6570
INFO:root:10:46:23 [Epoch 1 Batch 4830/12277] loss=0.6796, lr=0.0000197, metrics:accuracy:0.6571
INFO:root:10:46:25 [Epoch 1 Batch 4840/12277] loss=0.7549, lr=0.0000197, metrics:accuracy:0.6572
INFO:root:10:46:26 [Epoch 1 Batch 4850/12277] loss=0.7177, lr=0.0000198, metrics:accuracy:0.6573
INFO:root:10:46:28 [Epoch 1 Batch 4860/12277] loss=0.7155, lr=0.0000198, metrics:accuracy:0.6574
INFO:root:10:46:29 [Epoch 1 Batch 4870/12277] loss=0.6685, lr=0.0000198, metrics:accuracy:0.6575
INFO:root:10:46:31 [Epoch 1 Batch 4880/12277] loss=0.6970, lr=0.0000199, metrics:accuracy:0.6576
INFO:root:10:46:33 [Epoch 1 Batch 4890/12277] loss=0.6819, lr=0.0000199, metrics:accuracy:0.6578
INFO:root:10:46:35 [Epoch 1 Batch 4900/12277] loss=0.6711, lr=0.0000200, metrics:accuracy:0.6579
INFO:root:10:46:36 [Epoch 1 Batch 4910/12277] loss=0.6036, lr=0.0000200, metrics:accuracy:0.6581
INFO:root:10:46:38 [Epoch 1 Batch 4920/12277] loss=0.6469, lr=0.0000200, metrics:accuracy:0.6582
INFO:root:10:46:39 [Epoch 1 Batch 4930/12277] loss=0.5907, lr=0.0000200, metrics:accuracy:0.6584
INFO:root:10:46:41 [Epoch 1 Batch 4940/12277] loss=0.6744, lr=0.0000200, metrics:accuracy:0.6586
INFO:root:10:46:42 [Epoch 1 Batch 4950/12277] loss=0.6848, lr=0.0000200, metrics:accuracy:0.6587
INFO:root:10:46:44 [Epoch 1 Batch 4960/12277] loss=0.7321, lr=0.0000200, metrics:accuracy:0.6588
INFO:root:10:46:46 [Epoch 1 Batch 4970/12277] loss=0.6474, lr=0.0000200, metrics:accuracy:0.6589
INFO:root:10:46:47 [Epoch 1 Batch 4980/12277] loss=0.6570, lr=0.0000200, metrics:accuracy:0.6590
INFO:root:10:46:49 [Epoch 1 Batch 4990/12277] loss=0.7521, lr=0.0000200, metrics:accuracy:0.6590
INFO:root:10:46:51 [Epoch 1 Batch 5000/12277] loss=0.5928, lr=0.0000200, metrics:accuracy:0.6592
INFO:root:10:46:53 [Epoch 1 Batch 5010/12277] loss=0.6545, lr=0.0000200, metrics:accuracy:0.6594
INFO:root:10:46:55 [Epoch 1 Batch 5020/12277] loss=0.7148, lr=0.0000199, metrics:accuracy:0.6595
INFO:root:10:46:56 [Epoch 1 Batch 5030/12277] loss=0.6602, lr=0.0000199, metrics:accuracy:0.6596
INFO:root:10:46:58 [Epoch 1 Batch 5040/12277] loss=0.7059, lr=0.0000199, metrics:accuracy:0.6597
INFO:root:10:46:59 [Epoch 1 Batch 5050/12277] loss=0.6510, lr=0.0000199, metrics:accuracy:0.6599
INFO:root:10:47:01 [Epoch 1 Batch 5060/12277] loss=0.6289, lr=0.0000199, metrics:accuracy:0.6600
INFO:root:10:47:03 [Epoch 1 Batch 5070/12277] loss=0.7416, lr=0.0000199, metrics:accuracy:0.6601
INFO:root:10:47:04 [Epoch 1 Batch 5080/12277] loss=0.6602, lr=0.0000199, metrics:accuracy:0.6603
INFO:root:10:47:06 [Epoch 1 Batch 5090/12277] loss=0.6363, lr=0.0000199, metrics:accuracy:0.6605
INFO:root:10:47:08 [Epoch 1 Batch 5100/12277] loss=0.6723, lr=0.0000199, metrics:accuracy:0.6606
INFO:root:10:47:09 [Epoch 1 Batch 5110/12277] loss=0.6823, lr=0.0000199, metrics:accuracy:0.6607
INFO:root:10:47:11 [Epoch 1 Batch 5120/12277] loss=0.6222, lr=0.0000199, metrics:accuracy:0.6609
INFO:root:10:47:12 [Epoch 1 Batch 5130/12277] loss=0.5929, lr=0.0000199, metrics:accuracy:0.6610
INFO:root:10:47:14 [Epoch 1 Batch 5140/12277] loss=0.6532, lr=0.0000199, metrics:accuracy:0.6611
INFO:root:10:47:16 [Epoch 1 Batch 5150/12277] loss=0.6561, lr=0.0000199, metrics:accuracy:0.6613
INFO:root:10:47:17 [Epoch 1 Batch 5160/12277] loss=0.6177, lr=0.0000199, metrics:accuracy:0.6615
INFO:root:10:47:19 [Epoch 1 Batch 5170/12277] loss=0.6453, lr=0.0000199, metrics:accuracy:0.6616
INFO:root:10:47:20 [Epoch 1 Batch 5180/12277] loss=0.7627, lr=0.0000199, metrics:accuracy:0.6617
INFO:root:10:47:22 [Epoch 1 Batch 5190/12277] loss=0.6408, lr=0.0000199, metrics:accuracy:0.6618
INFO:root:10:47:24 [Epoch 1 Batch 5200/12277] loss=0.6014, lr=0.0000199, metrics:accuracy:0.6620
INFO:root:10:47:25 [Epoch 1 Batch 5210/12277] loss=0.6401, lr=0.0000199, metrics:accuracy:0.6622
INFO:root:10:47:27 [Epoch 1 Batch 5220/12277] loss=0.6363, lr=0.0000199, metrics:accuracy:0.6623
INFO:root:10:47:28 [Epoch 1 Batch 5230/12277] loss=0.7007, lr=0.0000199, metrics:accuracy:0.6624
INFO:root:10:47:30 [Epoch 1 Batch 5240/12277] loss=0.6026, lr=0.0000199, metrics:accuracy:0.6626
INFO:root:10:47:32 [Epoch 1 Batch 5250/12277] loss=0.6898, lr=0.0000198, metrics:accuracy:0.6627
INFO:root:10:47:33 [Epoch 1 Batch 5260/12277] loss=0.6521, lr=0.0000198, metrics:accuracy:0.6628
INFO:root:10:47:35 [Epoch 1 Batch 5270/12277] loss=0.6792, lr=0.0000198, metrics:accuracy:0.6629
INFO:root:10:47:36 [Epoch 1 Batch 5280/12277] loss=0.6638, lr=0.0000198, metrics:accuracy:0.6630
INFO:root:10:47:38 [Epoch 1 Batch 5290/12277] loss=0.7257, lr=0.0000198, metrics:accuracy:0.6631
INFO:root:10:47:39 [Epoch 1 Batch 5300/12277] loss=0.6530, lr=0.0000198, metrics:accuracy:0.6632
INFO:root:10:47:41 [Epoch 1 Batch 5310/12277] loss=0.6561, lr=0.0000198, metrics:accuracy:0.6634
INFO:root:10:47:43 [Epoch 1 Batch 5320/12277] loss=0.7420, lr=0.0000198, metrics:accuracy:0.6634
INFO:root:10:47:44 [Epoch 1 Batch 5330/12277] loss=0.6867, lr=0.0000198, metrics:accuracy:0.6635
INFO:root:10:47:45 [Epoch 1 Batch 5340/12277] loss=0.6586, lr=0.0000198, metrics:accuracy:0.6636
INFO:root:10:47:47 [Epoch 1 Batch 5350/12277] loss=0.6539, lr=0.0000198, metrics:accuracy:0.6637
INFO:root:10:47:49 [Epoch 1 Batch 5360/12277] loss=0.6264, lr=0.0000198, metrics:accuracy:0.6639
INFO:root:10:47:51 [Epoch 1 Batch 5370/12277] loss=0.6514, lr=0.0000198, metrics:accuracy:0.6640
INFO:root:10:47:53 [Epoch 1 Batch 5380/12277] loss=0.7073, lr=0.0000198, metrics:accuracy:0.6641
INFO:root:10:47:54 [Epoch 1 Batch 5390/12277] loss=0.6327, lr=0.0000198, metrics:accuracy:0.6642
INFO:root:10:47:56 [Epoch 1 Batch 5400/12277] loss=0.6476, lr=0.0000198, metrics:accuracy:0.6643
INFO:root:10:47:57 [Epoch 1 Batch 5410/12277] loss=0.6516, lr=0.0000198, metrics:accuracy:0.6645
INFO:root:10:47:59 [Epoch 1 Batch 5420/12277] loss=0.6175, lr=0.0000198, metrics:accuracy:0.6646
INFO:root:10:48:01 [Epoch 1 Batch 5430/12277] loss=0.6176, lr=0.0000198, metrics:accuracy:0.6648
INFO:root:10:48:02 [Epoch 1 Batch 5440/12277] loss=0.6333, lr=0.0000198, metrics:accuracy:0.6649
INFO:root:10:48:04 [Epoch 1 Batch 5450/12277] loss=0.7201, lr=0.0000198, metrics:accuracy:0.6650
INFO:root:10:48:05 [Epoch 1 Batch 5460/12277] loss=0.6808, lr=0.0000198, metrics:accuracy:0.6651
INFO:root:10:48:07 [Epoch 1 Batch 5470/12277] loss=0.6849, lr=0.0000197, metrics:accuracy:0.6651
INFO:root:10:48:09 [Epoch 1 Batch 5480/12277] loss=0.6356, lr=0.0000197, metrics:accuracy:0.6653
INFO:root:10:48:10 [Epoch 1 Batch 5490/12277] loss=0.6519, lr=0.0000197, metrics:accuracy:0.6654
INFO:root:10:48:12 [Epoch 1 Batch 5500/12277] loss=0.6771, lr=0.0000197, metrics:accuracy:0.6655
INFO:root:10:48:13 [Epoch 1 Batch 5510/12277] loss=0.5956, lr=0.0000197, metrics:accuracy:0.6657
INFO:root:10:48:15 [Epoch 1 Batch 5520/12277] loss=0.6148, lr=0.0000197, metrics:accuracy:0.6659
INFO:root:10:48:17 [Epoch 1 Batch 5530/12277] loss=0.6803, lr=0.0000197, metrics:accuracy:0.6660
INFO:root:10:48:18 [Epoch 1 Batch 5540/12277] loss=0.6574, lr=0.0000197, metrics:accuracy:0.6661
INFO:root:10:48:19 [Epoch 1 Batch 5550/12277] loss=0.5818, lr=0.0000197, metrics:accuracy:0.6663
INFO:root:10:48:21 [Epoch 1 Batch 5560/12277] loss=0.7278, lr=0.0000197, metrics:accuracy:0.6664
INFO:root:10:48:22 [Epoch 1 Batch 5570/12277] loss=0.6947, lr=0.0000197, metrics:accuracy:0.6664
INFO:root:10:48:25 [Epoch 1 Batch 5580/12277] loss=0.6217, lr=0.0000197, metrics:accuracy:0.6666
INFO:root:10:48:26 [Epoch 1 Batch 5590/12277] loss=0.6221, lr=0.0000197, metrics:accuracy:0.6667
INFO:root:10:48:28 [Epoch 1 Batch 5600/12277] loss=0.6709, lr=0.0000197, metrics:accuracy:0.6668
INFO:root:10:48:30 [Epoch 1 Batch 5610/12277] loss=0.7563, lr=0.0000197, metrics:accuracy:0.6669
INFO:root:10:48:31 [Epoch 1 Batch 5620/12277] loss=0.6423, lr=0.0000197, metrics:accuracy:0.6670
INFO:root:10:48:33 [Epoch 1 Batch 5630/12277] loss=0.5419, lr=0.0000197, metrics:accuracy:0.6673
INFO:root:10:48:34 [Epoch 1 Batch 5640/12277] loss=0.6507, lr=0.0000197, metrics:accuracy:0.6674
INFO:root:10:48:36 [Epoch 1 Batch 5650/12277] loss=0.7942, lr=0.0000197, metrics:accuracy:0.6674
INFO:root:10:48:37 [Epoch 1 Batch 5660/12277] loss=0.6753, lr=0.0000197, metrics:accuracy:0.6675
INFO:root:10:48:39 [Epoch 1 Batch 5670/12277] loss=0.7049, lr=0.0000197, metrics:accuracy:0.6676
INFO:root:10:48:41 [Epoch 1 Batch 5680/12277] loss=0.6425, lr=0.0000197, metrics:accuracy:0.6677
INFO:root:10:48:42 [Epoch 1 Batch 5690/12277] loss=0.6486, lr=0.0000196, metrics:accuracy:0.6678
INFO:root:10:48:44 [Epoch 1 Batch 5700/12277] loss=0.6979, lr=0.0000196, metrics:accuracy:0.6679
INFO:root:10:48:45 [Epoch 1 Batch 5710/12277] loss=0.6605, lr=0.0000196, metrics:accuracy:0.6680
INFO:root:10:48:47 [Epoch 1 Batch 5720/12277] loss=0.6360, lr=0.0000196, metrics:accuracy:0.6682
INFO:root:10:48:49 [Epoch 1 Batch 5730/12277] loss=0.6729, lr=0.0000196, metrics:accuracy:0.6683
INFO:root:10:48:50 [Epoch 1 Batch 5740/12277] loss=0.5974, lr=0.0000196, metrics:accuracy:0.6684
INFO:root:10:48:52 [Epoch 1 Batch 5750/12277] loss=0.6835, lr=0.0000196, metrics:accuracy:0.6685
INFO:root:10:48:55 [Epoch 1 Batch 5760/12277] loss=0.6399, lr=0.0000196, metrics:accuracy:0.6686
INFO:root:10:48:56 [Epoch 1 Batch 5770/12277] loss=0.7271, lr=0.0000196, metrics:accuracy:0.6686
INFO:root:10:48:58 [Epoch 1 Batch 5780/12277] loss=0.6467, lr=0.0000196, metrics:accuracy:0.6688
INFO:root:10:49:00 [Epoch 1 Batch 5790/12277] loss=0.6495, lr=0.0000196, metrics:accuracy:0.6689
INFO:root:10:49:01 [Epoch 1 Batch 5800/12277] loss=0.6285, lr=0.0000196, metrics:accuracy:0.6690
INFO:root:10:49:03 [Epoch 1 Batch 5810/12277] loss=0.7000, lr=0.0000196, metrics:accuracy:0.6690
INFO:root:10:49:05 [Epoch 1 Batch 5820/12277] loss=0.5681, lr=0.0000196, metrics:accuracy:0.6692
INFO:root:10:49:06 [Epoch 1 Batch 5830/12277] loss=0.6839, lr=0.0000196, metrics:accuracy:0.6693
INFO:root:10:49:08 [Epoch 1 Batch 5840/12277] loss=0.6784, lr=0.0000196, metrics:accuracy:0.6694
INFO:root:10:49:09 [Epoch 1 Batch 5850/12277] loss=0.6205, lr=0.0000196, metrics:accuracy:0.6696
INFO:root:10:49:11 [Epoch 1 Batch 5860/12277] loss=0.6725, lr=0.0000196, metrics:accuracy:0.6697
INFO:root:10:49:13 [Epoch 1 Batch 5870/12277] loss=0.6162, lr=0.0000196, metrics:accuracy:0.6698
INFO:root:10:49:14 [Epoch 1 Batch 5880/12277] loss=0.6586, lr=0.0000196, metrics:accuracy:0.6699
INFO:root:10:49:16 [Epoch 1 Batch 5890/12277] loss=0.6411, lr=0.0000196, metrics:accuracy:0.6700
INFO:root:10:49:17 [Epoch 1 Batch 5900/12277] loss=0.6667, lr=0.0000196, metrics:accuracy:0.6701
INFO:root:10:49:19 [Epoch 1 Batch 5910/12277] loss=0.6274, lr=0.0000195, metrics:accuracy:0.6703
INFO:root:10:49:21 [Epoch 1 Batch 5920/12277] loss=0.6732, lr=0.0000195, metrics:accuracy:0.6704
INFO:root:10:49:22 [Epoch 1 Batch 5930/12277] loss=0.6352, lr=0.0000195, metrics:accuracy:0.6705
INFO:root:10:49:24 [Epoch 1 Batch 5940/12277] loss=0.6353, lr=0.0000195, metrics:accuracy:0.6706
INFO:root:10:49:26 [Epoch 1 Batch 5950/12277] loss=0.6837, lr=0.0000195, metrics:accuracy:0.6707
INFO:root:10:49:27 [Epoch 1 Batch 5960/12277] loss=0.7040, lr=0.0000195, metrics:accuracy:0.6708
INFO:root:10:49:29 [Epoch 1 Batch 5970/12277] loss=0.6436, lr=0.0000195, metrics:accuracy:0.6709
INFO:root:10:49:31 [Epoch 1 Batch 5980/12277] loss=0.6607, lr=0.0000195, metrics:accuracy:0.6710
INFO:root:10:49:32 [Epoch 1 Batch 5990/12277] loss=0.6885, lr=0.0000195, metrics:accuracy:0.6711
INFO:root:10:49:34 [Epoch 1 Batch 6000/12277] loss=0.7078, lr=0.0000195, metrics:accuracy:0.6712
INFO:root:10:49:35 [Epoch 1 Batch 6010/12277] loss=0.6204, lr=0.0000195, metrics:accuracy:0.6713
INFO:root:10:49:37 [Epoch 1 Batch 6020/12277] loss=0.6599, lr=0.0000195, metrics:accuracy:0.6714
INFO:root:10:49:38 [Epoch 1 Batch 6030/12277] loss=0.6650, lr=0.0000195, metrics:accuracy:0.6715
INFO:root:10:49:40 [Epoch 1 Batch 6040/12277] loss=0.5855, lr=0.0000195, metrics:accuracy:0.6716
INFO:root:10:49:41 [Epoch 1 Batch 6050/12277] loss=0.5567, lr=0.0000195, metrics:accuracy:0.6718
INFO:root:10:49:43 [Epoch 1 Batch 6060/12277] loss=0.7803, lr=0.0000195, metrics:accuracy:0.6718
INFO:root:10:49:45 [Epoch 1 Batch 6070/12277] loss=0.6290, lr=0.0000195, metrics:accuracy:0.6719
INFO:root:10:49:47 [Epoch 1 Batch 6080/12277] loss=0.6542, lr=0.0000195, metrics:accuracy:0.6720
INFO:root:10:49:49 [Epoch 1 Batch 6090/12277] loss=0.6145, lr=0.0000195, metrics:accuracy:0.6722
INFO:root:10:49:51 [Epoch 1 Batch 6100/12277] loss=0.7229, lr=0.0000195, metrics:accuracy:0.6722
INFO:root:10:49:53 [Epoch 1 Batch 6110/12277] loss=0.6710, lr=0.0000195, metrics:accuracy:0.6722
INFO:root:10:49:54 [Epoch 1 Batch 6120/12277] loss=0.6430, lr=0.0000195, metrics:accuracy:0.6723
INFO:root:10:49:56 [Epoch 1 Batch 6130/12277] loss=0.6536, lr=0.0000194, metrics:accuracy:0.6724
INFO:root:10:49:58 [Epoch 1 Batch 6140/12277] loss=0.6340, lr=0.0000194, metrics:accuracy:0.6725
INFO:root:10:49:59 [Epoch 1 Batch 6150/12277] loss=0.6925, lr=0.0000194, metrics:accuracy:0.6726
INFO:root:10:50:01 [Epoch 1 Batch 6160/12277] loss=0.7082, lr=0.0000194, metrics:accuracy:0.6727
INFO:root:10:50:03 [Epoch 1 Batch 6170/12277] loss=0.6393, lr=0.0000194, metrics:accuracy:0.6727
INFO:root:10:50:05 [Epoch 1 Batch 6180/12277] loss=0.6655, lr=0.0000194, metrics:accuracy:0.6729
INFO:root:10:50:06 [Epoch 1 Batch 6190/12277] loss=0.6839, lr=0.0000194, metrics:accuracy:0.6730
INFO:root:10:50:08 [Epoch 1 Batch 6200/12277] loss=0.6979, lr=0.0000194, metrics:accuracy:0.6731
INFO:root:10:50:10 [Epoch 1 Batch 6210/12277] loss=0.6657, lr=0.0000194, metrics:accuracy:0.6732
INFO:root:10:50:11 [Epoch 1 Batch 6220/12277] loss=0.6613, lr=0.0000194, metrics:accuracy:0.6733
INFO:root:10:50:13 [Epoch 1 Batch 6230/12277] loss=0.6377, lr=0.0000194, metrics:accuracy:0.6734
INFO:root:10:50:15 [Epoch 1 Batch 6240/12277] loss=0.6853, lr=0.0000194, metrics:accuracy:0.6734
INFO:root:10:50:16 [Epoch 1 Batch 6250/12277] loss=0.6249, lr=0.0000194, metrics:accuracy:0.6736
INFO:root:10:50:18 [Epoch 1 Batch 6260/12277] loss=0.6827, lr=0.0000194, metrics:accuracy:0.6736
INFO:root:10:50:19 [Epoch 1 Batch 6270/12277] loss=0.6516, lr=0.0000194, metrics:accuracy:0.6737
INFO:root:10:50:21 [Epoch 1 Batch 6280/12277] loss=0.6531, lr=0.0000194, metrics:accuracy:0.6738
INFO:root:10:50:23 [Epoch 1 Batch 6290/12277] loss=0.6312, lr=0.0000194, metrics:accuracy:0.6739
INFO:root:10:50:24 [Epoch 1 Batch 6300/12277] loss=0.6556, lr=0.0000194, metrics:accuracy:0.6740
INFO:root:10:50:26 [Epoch 1 Batch 6310/12277] loss=0.7438, lr=0.0000194, metrics:accuracy:0.6740
INFO:root:10:50:28 [Epoch 1 Batch 6320/12277] loss=0.6538, lr=0.0000194, metrics:accuracy:0.6741
INFO:root:10:50:29 [Epoch 1 Batch 6330/12277] loss=0.6849, lr=0.0000194, metrics:accuracy:0.6741
INFO:root:10:50:30 [Epoch 1 Batch 6340/12277] loss=0.6681, lr=0.0000194, metrics:accuracy:0.6742
INFO:root:10:50:32 [Epoch 1 Batch 6350/12277] loss=0.6720, lr=0.0000193, metrics:accuracy:0.6743
INFO:root:10:50:34 [Epoch 1 Batch 6360/12277] loss=0.7478, lr=0.0000193, metrics:accuracy:0.6743
INFO:root:10:50:36 [Epoch 1 Batch 6370/12277] loss=0.6549, lr=0.0000193, metrics:accuracy:0.6744
INFO:root:10:50:37 [Epoch 1 Batch 6380/12277] loss=0.5836, lr=0.0000193, metrics:accuracy:0.6745
INFO:root:10:50:38 [Epoch 1 Batch 6390/12277] loss=0.6609, lr=0.0000193, metrics:accuracy:0.6746
INFO:root:10:50:40 [Epoch 1 Batch 6400/12277] loss=0.5423, lr=0.0000193, metrics:accuracy:0.6748
INFO:root:10:50:42 [Epoch 1 Batch 6410/12277] loss=0.5272, lr=0.0000193, metrics:accuracy:0.6750
INFO:root:10:50:43 [Epoch 1 Batch 6420/12277] loss=0.5670, lr=0.0000193, metrics:accuracy:0.6752
INFO:root:10:50:45 [Epoch 1 Batch 6430/12277] loss=0.6598, lr=0.0000193, metrics:accuracy:0.6753
INFO:root:10:50:47 [Epoch 1 Batch 6440/12277] loss=0.5729, lr=0.0000193, metrics:accuracy:0.6754
INFO:root:10:50:48 [Epoch 1 Batch 6450/12277] loss=0.6577, lr=0.0000193, metrics:accuracy:0.6755
INFO:root:10:50:50 [Epoch 1 Batch 6460/12277] loss=0.7182, lr=0.0000193, metrics:accuracy:0.6756
INFO:root:10:50:52 [Epoch 1 Batch 6470/12277] loss=0.6372, lr=0.0000193, metrics:accuracy:0.6757
INFO:root:10:50:53 [Epoch 1 Batch 6480/12277] loss=0.6582, lr=0.0000193, metrics:accuracy:0.6757
INFO:root:10:50:55 [Epoch 1 Batch 6490/12277] loss=0.6740, lr=0.0000193, metrics:accuracy:0.6758
INFO:root:10:50:57 [Epoch 1 Batch 6500/12277] loss=0.6041, lr=0.0000193, metrics:accuracy:0.6759
INFO:root:10:50:58 [Epoch 1 Batch 6510/12277] loss=0.6893, lr=0.0000193, metrics:accuracy:0.6759
INFO:root:10:51:00 [Epoch 1 Batch 6520/12277] loss=0.6678, lr=0.0000193, metrics:accuracy:0.6760
INFO:root:10:51:01 [Epoch 1 Batch 6530/12277] loss=0.7334, lr=0.0000193, metrics:accuracy:0.6760
INFO:root:10:51:03 [Epoch 1 Batch 6540/12277] loss=0.5768, lr=0.0000193, metrics:accuracy:0.6761
INFO:root:10:51:05 [Epoch 1 Batch 6550/12277] loss=0.5894, lr=0.0000193, metrics:accuracy:0.6763
INFO:root:10:51:06 [Epoch 1 Batch 6560/12277] loss=0.6370, lr=0.0000193, metrics:accuracy:0.6763
INFO:root:10:51:08 [Epoch 1 Batch 6570/12277] loss=0.6553, lr=0.0000192, metrics:accuracy:0.6765
INFO:root:10:51:10 [Epoch 1 Batch 6580/12277] loss=0.5697, lr=0.0000192, metrics:accuracy:0.6766
INFO:root:10:51:12 [Epoch 1 Batch 6590/12277] loss=0.6661, lr=0.0000192, metrics:accuracy:0.6767
INFO:root:10:51:14 [Epoch 1 Batch 6600/12277] loss=0.6195, lr=0.0000192, metrics:accuracy:0.6768
INFO:root:10:51:15 [Epoch 1 Batch 6610/12277] loss=0.6844, lr=0.0000192, metrics:accuracy:0.6769
INFO:root:10:51:17 [Epoch 1 Batch 6620/12277] loss=0.6217, lr=0.0000192, metrics:accuracy:0.6770
INFO:root:10:51:19 [Epoch 1 Batch 6630/12277] loss=0.6513, lr=0.0000192, metrics:accuracy:0.6770
INFO:root:10:51:21 [Epoch 1 Batch 6640/12277] loss=0.6151, lr=0.0000192, metrics:accuracy:0.6771
INFO:root:10:51:23 [Epoch 1 Batch 6650/12277] loss=0.6528, lr=0.0000192, metrics:accuracy:0.6772
INFO:root:10:51:24 [Epoch 1 Batch 6660/12277] loss=0.6431, lr=0.0000192, metrics:accuracy:0.6773
INFO:root:10:51:26 [Epoch 1 Batch 6670/12277] loss=0.7091, lr=0.0000192, metrics:accuracy:0.6773
INFO:root:10:51:28 [Epoch 1 Batch 6680/12277] loss=0.6310, lr=0.0000192, metrics:accuracy:0.6774
INFO:root:10:51:29 [Epoch 1 Batch 6690/12277] loss=0.5807, lr=0.0000192, metrics:accuracy:0.6775
INFO:root:10:51:31 [Epoch 1 Batch 6700/12277] loss=0.6938, lr=0.0000192, metrics:accuracy:0.6776
INFO:root:10:51:33 [Epoch 1 Batch 6710/12277] loss=0.6628, lr=0.0000192, metrics:accuracy:0.6776
INFO:root:10:51:35 [Epoch 1 Batch 6720/12277] loss=0.6345, lr=0.0000192, metrics:accuracy:0.6777
INFO:root:10:51:36 [Epoch 1 Batch 6730/12277] loss=0.6568, lr=0.0000192, metrics:accuracy:0.6778
INFO:root:10:51:37 [Epoch 1 Batch 6740/12277] loss=0.6357, lr=0.0000192, metrics:accuracy:0.6779
INFO:root:10:51:39 [Epoch 1 Batch 6750/12277] loss=0.6521, lr=0.0000192, metrics:accuracy:0.6780
INFO:root:10:51:40 [Epoch 1 Batch 6760/12277] loss=0.6829, lr=0.0000192, metrics:accuracy:0.6780
INFO:root:10:51:42 [Epoch 1 Batch 6770/12277] loss=0.5883, lr=0.0000192, metrics:accuracy:0.6781
INFO:root:10:51:43 [Epoch 1 Batch 6780/12277] loss=0.6739, lr=0.0000192, metrics:accuracy:0.6782
INFO:root:10:51:45 [Epoch 1 Batch 6790/12277] loss=0.6088, lr=0.0000191, metrics:accuracy:0.6783
INFO:root:10:51:47 [Epoch 1 Batch 6800/12277] loss=0.6488, lr=0.0000191, metrics:accuracy:0.6783
INFO:root:10:51:48 [Epoch 1 Batch 6810/12277] loss=0.6690, lr=0.0000191, metrics:accuracy:0.6785
INFO:root:10:51:49 [Epoch 1 Batch 6820/12277] loss=0.6818, lr=0.0000191, metrics:accuracy:0.6785
INFO:root:10:51:51 [Epoch 1 Batch 6830/12277] loss=0.6437, lr=0.0000191, metrics:accuracy:0.6786
INFO:root:10:51:53 [Epoch 1 Batch 6840/12277] loss=0.6017, lr=0.0000191, metrics:accuracy:0.6787
INFO:root:10:51:55 [Epoch 1 Batch 6850/12277] loss=0.5637, lr=0.0000191, metrics:accuracy:0.6788
INFO:root:10:51:56 [Epoch 1 Batch 6860/12277] loss=0.6402, lr=0.0000191, metrics:accuracy:0.6789
INFO:root:10:51:58 [Epoch 1 Batch 6870/12277] loss=0.6115, lr=0.0000191, metrics:accuracy:0.6790
INFO:root:10:51:59 [Epoch 1 Batch 6880/12277] loss=0.6350, lr=0.0000191, metrics:accuracy:0.6791
INFO:root:10:52:01 [Epoch 1 Batch 6890/12277] loss=0.7069, lr=0.0000191, metrics:accuracy:0.6792
INFO:root:10:52:02 [Epoch 1 Batch 6900/12277] loss=0.6049, lr=0.0000191, metrics:accuracy:0.6793
INFO:root:10:52:04 [Epoch 1 Batch 6910/12277] loss=0.6100, lr=0.0000191, metrics:accuracy:0.6794
INFO:root:10:52:06 [Epoch 1 Batch 6920/12277] loss=0.6662, lr=0.0000191, metrics:accuracy:0.6795
INFO:root:10:52:07 [Epoch 1 Batch 6930/12277] loss=0.6358, lr=0.0000191, metrics:accuracy:0.6796
INFO:root:10:52:09 [Epoch 1 Batch 6940/12277] loss=0.6149, lr=0.0000191, metrics:accuracy:0.6797
INFO:root:10:52:11 [Epoch 1 Batch 6950/12277] loss=0.6401, lr=0.0000191, metrics:accuracy:0.6798
INFO:root:10:52:12 [Epoch 1 Batch 6960/12277] loss=0.5577, lr=0.0000191, metrics:accuracy:0.6799
INFO:root:10:52:13 [Epoch 1 Batch 6970/12277] loss=0.5749, lr=0.0000191, metrics:accuracy:0.6800
INFO:root:10:52:15 [Epoch 1 Batch 6980/12277] loss=0.7157, lr=0.0000191, metrics:accuracy:0.6801
INFO:root:10:52:17 [Epoch 1 Batch 6990/12277] loss=0.5847, lr=0.0000191, metrics:accuracy:0.6802
INFO:root:10:52:18 [Epoch 1 Batch 7000/12277] loss=0.7238, lr=0.0000191, metrics:accuracy:0.6803
INFO:root:10:52:20 [Epoch 1 Batch 7010/12277] loss=0.6200, lr=0.0000190, metrics:accuracy:0.6804
INFO:root:10:52:21 [Epoch 1 Batch 7020/12277] loss=0.6557, lr=0.0000190, metrics:accuracy:0.6805
INFO:root:10:52:23 [Epoch 1 Batch 7030/12277] loss=0.6276, lr=0.0000190, metrics:accuracy:0.6805
INFO:root:10:52:24 [Epoch 1 Batch 7040/12277] loss=0.6626, lr=0.0000190, metrics:accuracy:0.6806
INFO:root:10:52:26 [Epoch 1 Batch 7050/12277] loss=0.7515, lr=0.0000190, metrics:accuracy:0.6806
INFO:root:10:52:28 [Epoch 1 Batch 7060/12277] loss=0.7253, lr=0.0000190, metrics:accuracy:0.6807
INFO:root:10:52:29 [Epoch 1 Batch 7070/12277] loss=0.5518, lr=0.0000190, metrics:accuracy:0.6808
INFO:root:10:52:31 [Epoch 1 Batch 7080/12277] loss=0.7208, lr=0.0000190, metrics:accuracy:0.6808
INFO:root:10:52:33 [Epoch 1 Batch 7090/12277] loss=0.5801, lr=0.0000190, metrics:accuracy:0.6810
INFO:root:10:52:34 [Epoch 1 Batch 7100/12277] loss=0.6540, lr=0.0000190, metrics:accuracy:0.6810
INFO:root:10:52:36 [Epoch 1 Batch 7110/12277] loss=0.6367, lr=0.0000190, metrics:accuracy:0.6812
INFO:root:10:52:38 [Epoch 1 Batch 7120/12277] loss=0.6834, lr=0.0000190, metrics:accuracy:0.6812
INFO:root:10:52:39 [Epoch 1 Batch 7130/12277] loss=0.6273, lr=0.0000190, metrics:accuracy:0.6813
INFO:root:10:52:41 [Epoch 1 Batch 7140/12277] loss=0.6548, lr=0.0000190, metrics:accuracy:0.6814
INFO:root:10:52:43 [Epoch 1 Batch 7150/12277] loss=0.6931, lr=0.0000190, metrics:accuracy:0.6814
INFO:root:10:52:44 [Epoch 1 Batch 7160/12277] loss=0.6504, lr=0.0000190, metrics:accuracy:0.6815
INFO:root:10:52:46 [Epoch 1 Batch 7170/12277] loss=0.6795, lr=0.0000190, metrics:accuracy:0.6815
INFO:root:10:52:48 [Epoch 1 Batch 7180/12277] loss=0.6311, lr=0.0000190, metrics:accuracy:0.6816
INFO:root:10:52:49 [Epoch 1 Batch 7190/12277] loss=0.6360, lr=0.0000190, metrics:accuracy:0.6817
INFO:root:10:52:51 [Epoch 1 Batch 7200/12277] loss=0.6866, lr=0.0000190, metrics:accuracy:0.6818
INFO:root:10:52:52 [Epoch 1 Batch 7210/12277] loss=0.6571, lr=0.0000190, metrics:accuracy:0.6819
INFO:root:10:52:54 [Epoch 1 Batch 7220/12277] loss=0.6959, lr=0.0000190, metrics:accuracy:0.6819
INFO:root:10:52:56 [Epoch 1 Batch 7230/12277] loss=0.7258, lr=0.0000189, metrics:accuracy:0.6820
INFO:root:10:52:58 [Epoch 1 Batch 7240/12277] loss=0.6553, lr=0.0000189, metrics:accuracy:0.6820
INFO:root:10:52:59 [Epoch 1 Batch 7250/12277] loss=0.6471, lr=0.0000189, metrics:accuracy:0.6821
INFO:root:10:53:01 [Epoch 1 Batch 7260/12277] loss=0.7095, lr=0.0000189, metrics:accuracy:0.6821
INFO:root:10:53:03 [Epoch 1 Batch 7270/12277] loss=0.6154, lr=0.0000189, metrics:accuracy:0.6822
INFO:root:10:53:04 [Epoch 1 Batch 7280/12277] loss=0.6877, lr=0.0000189, metrics:accuracy:0.6822
INFO:root:10:53:06 [Epoch 1 Batch 7290/12277] loss=0.5998, lr=0.0000189, metrics:accuracy:0.6823
INFO:root:10:53:07 [Epoch 1 Batch 7300/12277] loss=0.6778, lr=0.0000189, metrics:accuracy:0.6824
INFO:root:10:53:09 [Epoch 1 Batch 7310/12277] loss=0.5846, lr=0.0000189, metrics:accuracy:0.6825
INFO:root:10:53:10 [Epoch 1 Batch 7320/12277] loss=0.5681, lr=0.0000189, metrics:accuracy:0.6826
INFO:root:10:53:12 [Epoch 1 Batch 7330/12277] loss=0.6674, lr=0.0000189, metrics:accuracy:0.6827
INFO:root:10:53:14 [Epoch 1 Batch 7340/12277] loss=0.6121, lr=0.0000189, metrics:accuracy:0.6828
INFO:root:10:53:15 [Epoch 1 Batch 7350/12277] loss=0.6369, lr=0.0000189, metrics:accuracy:0.6828
INFO:root:10:53:17 [Epoch 1 Batch 7360/12277] loss=0.6548, lr=0.0000189, metrics:accuracy:0.6829
INFO:root:10:53:18 [Epoch 1 Batch 7370/12277] loss=0.7531, lr=0.0000189, metrics:accuracy:0.6829
INFO:root:10:53:20 [Epoch 1 Batch 7380/12277] loss=0.6128, lr=0.0000189, metrics:accuracy:0.6830
INFO:root:10:53:21 [Epoch 1 Batch 7390/12277] loss=0.6455, lr=0.0000189, metrics:accuracy:0.6831
INFO:root:10:53:23 [Epoch 1 Batch 7400/12277] loss=0.6497, lr=0.0000189, metrics:accuracy:0.6831
INFO:root:10:53:25 [Epoch 1 Batch 7410/12277] loss=0.6442, lr=0.0000189, metrics:accuracy:0.6832
INFO:root:10:53:27 [Epoch 1 Batch 7420/12277] loss=0.6456, lr=0.0000189, metrics:accuracy:0.6832
INFO:root:10:53:28 [Epoch 1 Batch 7430/12277] loss=0.6482, lr=0.0000189, metrics:accuracy:0.6833
INFO:root:10:53:30 [Epoch 1 Batch 7440/12277] loss=0.7278, lr=0.0000189, metrics:accuracy:0.6834
INFO:root:10:53:31 [Epoch 1 Batch 7450/12277] loss=0.5913, lr=0.0000188, metrics:accuracy:0.6834
INFO:root:10:53:33 [Epoch 1 Batch 7460/12277] loss=0.6964, lr=0.0000188, metrics:accuracy:0.6835
INFO:root:10:53:34 [Epoch 1 Batch 7470/12277] loss=0.5872, lr=0.0000188, metrics:accuracy:0.6836
INFO:root:10:53:36 [Epoch 1 Batch 7480/12277] loss=0.6067, lr=0.0000188, metrics:accuracy:0.6837
INFO:root:10:53:38 [Epoch 1 Batch 7490/12277] loss=0.6312, lr=0.0000188, metrics:accuracy:0.6838
INFO:root:10:53:39 [Epoch 1 Batch 7500/12277] loss=0.6309, lr=0.0000188, metrics:accuracy:0.6839
INFO:root:10:53:41 [Epoch 1 Batch 7510/12277] loss=0.5909, lr=0.0000188, metrics:accuracy:0.6840
INFO:root:10:53:42 [Epoch 1 Batch 7520/12277] loss=0.6852, lr=0.0000188, metrics:accuracy:0.6841
INFO:root:10:53:44 [Epoch 1 Batch 7530/12277] loss=0.6157, lr=0.0000188, metrics:accuracy:0.6841
INFO:root:10:53:46 [Epoch 1 Batch 7540/12277] loss=0.6843, lr=0.0000188, metrics:accuracy:0.6842
INFO:root:10:53:47 [Epoch 1 Batch 7550/12277] loss=0.6815, lr=0.0000188, metrics:accuracy:0.6843
INFO:root:10:53:49 [Epoch 1 Batch 7560/12277] loss=0.5921, lr=0.0000188, metrics:accuracy:0.6844
INFO:root:10:53:51 [Epoch 1 Batch 7570/12277] loss=0.6648, lr=0.0000188, metrics:accuracy:0.6844
INFO:root:10:53:52 [Epoch 1 Batch 7580/12277] loss=0.6098, lr=0.0000188, metrics:accuracy:0.6845
INFO:root:10:53:54 [Epoch 1 Batch 7590/12277] loss=0.6353, lr=0.0000188, metrics:accuracy:0.6846
INFO:root:10:53:55 [Epoch 1 Batch 7600/12277] loss=0.6207, lr=0.0000188, metrics:accuracy:0.6847
INFO:root:10:53:57 [Epoch 1 Batch 7610/12277] loss=0.6457, lr=0.0000188, metrics:accuracy:0.6847
INFO:root:10:53:59 [Epoch 1 Batch 7620/12277] loss=0.6453, lr=0.0000188, metrics:accuracy:0.6848
INFO:root:10:54:00 [Epoch 1 Batch 7630/12277] loss=0.6162, lr=0.0000188, metrics:accuracy:0.6848
INFO:root:10:54:02 [Epoch 1 Batch 7640/12277] loss=0.6767, lr=0.0000188, metrics:accuracy:0.6849
INFO:root:10:54:04 [Epoch 1 Batch 7650/12277] loss=0.6965, lr=0.0000188, metrics:accuracy:0.6849
INFO:root:10:54:05 [Epoch 1 Batch 7660/12277] loss=0.5657, lr=0.0000188, metrics:accuracy:0.6850
INFO:root:10:54:07 [Epoch 1 Batch 7670/12277] loss=0.6462, lr=0.0000188, metrics:accuracy:0.6851
INFO:root:10:54:08 [Epoch 1 Batch 7680/12277] loss=0.6308, lr=0.0000187, metrics:accuracy:0.6852
INFO:root:10:54:10 [Epoch 1 Batch 7690/12277] loss=0.6535, lr=0.0000187, metrics:accuracy:0.6853
INFO:root:10:54:12 [Epoch 1 Batch 7700/12277] loss=0.5612, lr=0.0000187, metrics:accuracy:0.6854
INFO:root:10:54:14 [Epoch 1 Batch 7710/12277] loss=0.5663, lr=0.0000187, metrics:accuracy:0.6855
INFO:root:10:54:15 [Epoch 1 Batch 7720/12277] loss=0.6089, lr=0.0000187, metrics:accuracy:0.6856
INFO:root:10:54:17 [Epoch 1 Batch 7730/12277] loss=0.7198, lr=0.0000187, metrics:accuracy:0.6857
INFO:root:10:54:19 [Epoch 1 Batch 7740/12277] loss=0.6332, lr=0.0000187, metrics:accuracy:0.6857
INFO:root:10:54:20 [Epoch 1 Batch 7750/12277] loss=0.5857, lr=0.0000187, metrics:accuracy:0.6858
INFO:root:10:54:22 [Epoch 1 Batch 7760/12277] loss=0.6255, lr=0.0000187, metrics:accuracy:0.6859
INFO:root:10:54:23 [Epoch 1 Batch 7770/12277] loss=0.6030, lr=0.0000187, metrics:accuracy:0.6860
INFO:root:10:54:25 [Epoch 1 Batch 7780/12277] loss=0.6071, lr=0.0000187, metrics:accuracy:0.6860
INFO:root:10:54:26 [Epoch 1 Batch 7790/12277] loss=0.6067, lr=0.0000187, metrics:accuracy:0.6861
INFO:root:10:54:28 [Epoch 1 Batch 7800/12277] loss=0.5457, lr=0.0000187, metrics:accuracy:0.6862
INFO:root:10:54:30 [Epoch 1 Batch 7810/12277] loss=0.6723, lr=0.0000187, metrics:accuracy:0.6863
INFO:root:10:54:31 [Epoch 1 Batch 7820/12277] loss=0.7126, lr=0.0000187, metrics:accuracy:0.6863
INFO:root:10:54:33 [Epoch 1 Batch 7830/12277] loss=0.6406, lr=0.0000187, metrics:accuracy:0.6864
INFO:root:10:54:34 [Epoch 1 Batch 7840/12277] loss=0.6668, lr=0.0000187, metrics:accuracy:0.6865
INFO:root:10:54:36 [Epoch 1 Batch 7850/12277] loss=0.5919, lr=0.0000187, metrics:accuracy:0.6866
INFO:root:10:54:38 [Epoch 1 Batch 7860/12277] loss=0.5993, lr=0.0000187, metrics:accuracy:0.6867
INFO:root:10:54:39 [Epoch 1 Batch 7870/12277] loss=0.5815, lr=0.0000187, metrics:accuracy:0.6868
INFO:root:10:54:41 [Epoch 1 Batch 7880/12277] loss=0.6336, lr=0.0000187, metrics:accuracy:0.6869
INFO:root:10:54:42 [Epoch 1 Batch 7890/12277] loss=0.6020, lr=0.0000187, metrics:accuracy:0.6870
INFO:root:10:54:44 [Epoch 1 Batch 7900/12277] loss=0.6086, lr=0.0000186, metrics:accuracy:0.6871
INFO:root:10:54:46 [Epoch 1 Batch 7910/12277] loss=0.6212, lr=0.0000186, metrics:accuracy:0.6872
INFO:root:10:54:47 [Epoch 1 Batch 7920/12277] loss=0.6684, lr=0.0000186, metrics:accuracy:0.6872
INFO:root:10:54:49 [Epoch 1 Batch 7930/12277] loss=0.6258, lr=0.0000186, metrics:accuracy:0.6873
INFO:root:10:54:51 [Epoch 1 Batch 7940/12277] loss=0.6846, lr=0.0000186, metrics:accuracy:0.6873
INFO:root:10:54:53 [Epoch 1 Batch 7950/12277] loss=0.6499, lr=0.0000186, metrics:accuracy:0.6874
INFO:root:10:54:54 [Epoch 1 Batch 7960/12277] loss=0.6052, lr=0.0000186, metrics:accuracy:0.6875
INFO:root:10:54:56 [Epoch 1 Batch 7970/12277] loss=0.5658, lr=0.0000186, metrics:accuracy:0.6876
INFO:root:10:54:58 [Epoch 1 Batch 7980/12277] loss=0.6297, lr=0.0000186, metrics:accuracy:0.6877
INFO:root:10:54:59 [Epoch 1 Batch 7990/12277] loss=0.5730, lr=0.0000186, metrics:accuracy:0.6878
INFO:root:10:55:01 [Epoch 1 Batch 8000/12277] loss=0.6348, lr=0.0000186, metrics:accuracy:0.6878
INFO:root:10:55:03 [Epoch 1 Batch 8010/12277] loss=0.6771, lr=0.0000186, metrics:accuracy:0.6879
INFO:root:10:55:05 [Epoch 1 Batch 8020/12277] loss=0.6239, lr=0.0000186, metrics:accuracy:0.6880
INFO:root:10:55:06 [Epoch 1 Batch 8030/12277] loss=0.6565, lr=0.0000186, metrics:accuracy:0.6880
INFO:root:10:55:08 [Epoch 1 Batch 8040/12277] loss=0.6947, lr=0.0000186, metrics:accuracy:0.6880
INFO:root:10:55:10 [Epoch 1 Batch 8050/12277] loss=0.6216, lr=0.0000186, metrics:accuracy:0.6881
INFO:root:10:55:11 [Epoch 1 Batch 8060/12277] loss=0.6247, lr=0.0000186, metrics:accuracy:0.6882
INFO:root:10:55:13 [Epoch 1 Batch 8070/12277] loss=0.5613, lr=0.0000186, metrics:accuracy:0.6883
INFO:root:10:55:14 [Epoch 1 Batch 8080/12277] loss=0.6562, lr=0.0000186, metrics:accuracy:0.6883
INFO:root:10:55:16 [Epoch 1 Batch 8090/12277] loss=0.6298, lr=0.0000186, metrics:accuracy:0.6884
INFO:root:10:55:17 [Epoch 1 Batch 8100/12277] loss=0.6645, lr=0.0000186, metrics:accuracy:0.6885
INFO:root:10:55:19 [Epoch 1 Batch 8110/12277] loss=0.6020, lr=0.0000186, metrics:accuracy:0.6885
INFO:root:10:55:20 [Epoch 1 Batch 8120/12277] loss=0.6483, lr=0.0000185, metrics:accuracy:0.6886
INFO:root:10:55:22 [Epoch 1 Batch 8130/12277] loss=0.6789, lr=0.0000185, metrics:accuracy:0.6886
INFO:root:10:55:24 [Epoch 1 Batch 8140/12277] loss=0.6852, lr=0.0000185, metrics:accuracy:0.6886
INFO:root:10:55:25 [Epoch 1 Batch 8150/12277] loss=0.6370, lr=0.0000185, metrics:accuracy:0.6887
INFO:root:10:55:27 [Epoch 1 Batch 8160/12277] loss=0.6190, lr=0.0000185, metrics:accuracy:0.6888
INFO:root:10:55:29 [Epoch 1 Batch 8170/12277] loss=0.5902, lr=0.0000185, metrics:accuracy:0.6888
INFO:root:10:55:30 [Epoch 1 Batch 8180/12277] loss=0.6293, lr=0.0000185, metrics:accuracy:0.6889
INFO:root:10:55:32 [Epoch 1 Batch 8190/12277] loss=0.6411, lr=0.0000185, metrics:accuracy:0.6890
INFO:root:10:55:33 [Epoch 1 Batch 8200/12277] loss=0.6423, lr=0.0000185, metrics:accuracy:0.6890
INFO:root:10:55:35 [Epoch 1 Batch 8210/12277] loss=0.6222, lr=0.0000185, metrics:accuracy:0.6891
INFO:root:10:55:37 [Epoch 1 Batch 8220/12277] loss=0.6519, lr=0.0000185, metrics:accuracy:0.6891
INFO:root:10:55:39 [Epoch 1 Batch 8230/12277] loss=0.6632, lr=0.0000185, metrics:accuracy:0.6892
INFO:root:10:55:40 [Epoch 1 Batch 8240/12277] loss=0.6143, lr=0.0000185, metrics:accuracy:0.6892
INFO:root:10:55:42 [Epoch 1 Batch 8250/12277] loss=0.6437, lr=0.0000185, metrics:accuracy:0.6893
INFO:root:10:55:44 [Epoch 1 Batch 8260/12277] loss=0.5921, lr=0.0000185, metrics:accuracy:0.6894
INFO:root:10:55:45 [Epoch 1 Batch 8270/12277] loss=0.6205, lr=0.0000185, metrics:accuracy:0.6894
INFO:root:10:55:47 [Epoch 1 Batch 8280/12277] loss=0.7019, lr=0.0000185, metrics:accuracy:0.6894
INFO:root:10:55:49 [Epoch 1 Batch 8290/12277] loss=0.6769, lr=0.0000185, metrics:accuracy:0.6895
INFO:root:10:55:51 [Epoch 1 Batch 8300/12277] loss=0.5923, lr=0.0000185, metrics:accuracy:0.6896
INFO:root:10:55:52 [Epoch 1 Batch 8310/12277] loss=0.6044, lr=0.0000185, metrics:accuracy:0.6897
INFO:root:10:55:54 [Epoch 1 Batch 8320/12277] loss=0.6900, lr=0.0000185, metrics:accuracy:0.6898
INFO:root:10:55:55 [Epoch 1 Batch 8330/12277] loss=0.5815, lr=0.0000185, metrics:accuracy:0.6899
INFO:root:10:55:57 [Epoch 1 Batch 8340/12277] loss=0.5914, lr=0.0000184, metrics:accuracy:0.6900
INFO:root:10:55:58 [Epoch 1 Batch 8350/12277] loss=0.6966, lr=0.0000184, metrics:accuracy:0.6900
INFO:root:10:56:00 [Epoch 1 Batch 8360/12277] loss=0.5730, lr=0.0000184, metrics:accuracy:0.6901
INFO:root:10:56:02 [Epoch 1 Batch 8370/12277] loss=0.6274, lr=0.0000184, metrics:accuracy:0.6901
INFO:root:10:56:03 [Epoch 1 Batch 8380/12277] loss=0.6001, lr=0.0000184, metrics:accuracy:0.6902
INFO:root:10:56:05 [Epoch 1 Batch 8390/12277] loss=0.6187, lr=0.0000184, metrics:accuracy:0.6903
INFO:root:10:56:07 [Epoch 1 Batch 8400/12277] loss=0.5622, lr=0.0000184, metrics:accuracy:0.6904
INFO:root:10:56:08 [Epoch 1 Batch 8410/12277] loss=0.6073, lr=0.0000184, metrics:accuracy:0.6904
INFO:root:10:56:10 [Epoch 1 Batch 8420/12277] loss=0.6172, lr=0.0000184, metrics:accuracy:0.6905
INFO:root:10:56:12 [Epoch 1 Batch 8430/12277] loss=0.6970, lr=0.0000184, metrics:accuracy:0.6905
INFO:root:10:56:13 [Epoch 1 Batch 8440/12277] loss=0.6233, lr=0.0000184, metrics:accuracy:0.6906
INFO:root:10:56:15 [Epoch 1 Batch 8450/12277] loss=0.6588, lr=0.0000184, metrics:accuracy:0.6906
INFO:root:10:56:17 [Epoch 1 Batch 8460/12277] loss=0.6731, lr=0.0000184, metrics:accuracy:0.6906
INFO:root:10:56:19 [Epoch 1 Batch 8470/12277] loss=0.5912, lr=0.0000184, metrics:accuracy:0.6907
INFO:root:10:56:20 [Epoch 1 Batch 8480/12277] loss=0.6286, lr=0.0000184, metrics:accuracy:0.6908
INFO:root:10:56:22 [Epoch 1 Batch 8490/12277] loss=0.6554, lr=0.0000184, metrics:accuracy:0.6908
INFO:root:10:56:23 [Epoch 1 Batch 8500/12277] loss=0.7265, lr=0.0000184, metrics:accuracy:0.6908
INFO:root:10:56:25 [Epoch 1 Batch 8510/12277] loss=0.6145, lr=0.0000184, metrics:accuracy:0.6909
INFO:root:10:56:27 [Epoch 1 Batch 8520/12277] loss=0.6798, lr=0.0000184, metrics:accuracy:0.6909
INFO:root:10:56:28 [Epoch 1 Batch 8530/12277] loss=0.6919, lr=0.0000184, metrics:accuracy:0.6909
INFO:root:10:56:30 [Epoch 1 Batch 8540/12277] loss=0.7188, lr=0.0000184, metrics:accuracy:0.6909
INFO:root:10:56:31 [Epoch 1 Batch 8550/12277] loss=0.6088, lr=0.0000184, metrics:accuracy:0.6909
INFO:root:10:56:33 [Epoch 1 Batch 8560/12277] loss=0.5959, lr=0.0000183, metrics:accuracy:0.6910
INFO:root:10:56:35 [Epoch 1 Batch 8570/12277] loss=0.6171, lr=0.0000183, metrics:accuracy:0.6911
INFO:root:10:56:36 [Epoch 1 Batch 8580/12277] loss=0.6592, lr=0.0000183, metrics:accuracy:0.6911
INFO:root:10:56:38 [Epoch 1 Batch 8590/12277] loss=0.6985, lr=0.0000183, metrics:accuracy:0.6911
INFO:root:10:56:39 [Epoch 1 Batch 8600/12277] loss=0.5758, lr=0.0000183, metrics:accuracy:0.6912
INFO:root:10:56:41 [Epoch 1 Batch 8610/12277] loss=0.6461, lr=0.0000183, metrics:accuracy:0.6912
INFO:root:10:56:43 [Epoch 1 Batch 8620/12277] loss=0.6712, lr=0.0000183, metrics:accuracy:0.6913
INFO:root:10:56:44 [Epoch 1 Batch 8630/12277] loss=0.6346, lr=0.0000183, metrics:accuracy:0.6913
INFO:root:10:56:46 [Epoch 1 Batch 8640/12277] loss=0.7147, lr=0.0000183, metrics:accuracy:0.6914
INFO:root:10:56:47 [Epoch 1 Batch 8650/12277] loss=0.6093, lr=0.0000183, metrics:accuracy:0.6914
INFO:root:10:56:49 [Epoch 1 Batch 8660/12277] loss=0.5725, lr=0.0000183, metrics:accuracy:0.6915
INFO:root:10:56:51 [Epoch 1 Batch 8670/12277] loss=0.6088, lr=0.0000183, metrics:accuracy:0.6916
INFO:root:10:56:52 [Epoch 1 Batch 8680/12277] loss=0.6295, lr=0.0000183, metrics:accuracy:0.6916
INFO:root:10:56:54 [Epoch 1 Batch 8690/12277] loss=0.6630, lr=0.0000183, metrics:accuracy:0.6916
INFO:root:10:56:56 [Epoch 1 Batch 8700/12277] loss=0.6324, lr=0.0000183, metrics:accuracy:0.6917
INFO:root:10:56:58 [Epoch 1 Batch 8710/12277] loss=0.6785, lr=0.0000183, metrics:accuracy:0.6917
INFO:root:10:57:00 [Epoch 1 Batch 8720/12277] loss=0.7420, lr=0.0000183, metrics:accuracy:0.6917
INFO:root:10:57:01 [Epoch 1 Batch 8730/12277] loss=0.5981, lr=0.0000183, metrics:accuracy:0.6918
INFO:root:10:57:03 [Epoch 1 Batch 8740/12277] loss=0.6331, lr=0.0000183, metrics:accuracy:0.6918
INFO:root:10:57:04 [Epoch 1 Batch 8750/12277] loss=0.5945, lr=0.0000183, metrics:accuracy:0.6919
INFO:root:10:57:06 [Epoch 1 Batch 8760/12277] loss=0.6158, lr=0.0000183, metrics:accuracy:0.6920
INFO:root:10:57:08 [Epoch 1 Batch 8770/12277] loss=0.6759, lr=0.0000183, metrics:accuracy:0.6920
INFO:root:10:57:10 [Epoch 1 Batch 8780/12277] loss=0.5909, lr=0.0000182, metrics:accuracy:0.6920
INFO:root:10:57:11 [Epoch 1 Batch 8790/12277] loss=0.7212, lr=0.0000182, metrics:accuracy:0.6920
INFO:root:10:57:13 [Epoch 1 Batch 8800/12277] loss=0.6578, lr=0.0000182, metrics:accuracy:0.6920
INFO:root:10:57:15 [Epoch 1 Batch 8810/12277] loss=0.7022, lr=0.0000182, metrics:accuracy:0.6921
INFO:root:10:57:17 [Epoch 1 Batch 8820/12277] loss=0.5482, lr=0.0000182, metrics:accuracy:0.6922
INFO:root:10:57:18 [Epoch 1 Batch 8830/12277] loss=0.6064, lr=0.0000182, metrics:accuracy:0.6922
INFO:root:10:57:20 [Epoch 1 Batch 8840/12277] loss=0.6286, lr=0.0000182, metrics:accuracy:0.6923
INFO:root:10:57:21 [Epoch 1 Batch 8850/12277] loss=0.5229, lr=0.0000182, metrics:accuracy:0.6924
INFO:root:10:57:23 [Epoch 1 Batch 8860/12277] loss=0.7045, lr=0.0000182, metrics:accuracy:0.6924
INFO:root:10:57:25 [Epoch 1 Batch 8870/12277] loss=0.6328, lr=0.0000182, metrics:accuracy:0.6925
INFO:root:10:57:26 [Epoch 1 Batch 8880/12277] loss=0.5878, lr=0.0000182, metrics:accuracy:0.6926
INFO:root:10:57:28 [Epoch 1 Batch 8890/12277] loss=0.6387, lr=0.0000182, metrics:accuracy:0.6926
INFO:root:10:57:30 [Epoch 1 Batch 8900/12277] loss=0.6450, lr=0.0000182, metrics:accuracy:0.6926
INFO:root:10:57:32 [Epoch 1 Batch 8910/12277] loss=0.5809, lr=0.0000182, metrics:accuracy:0.6926
INFO:root:10:57:33 [Epoch 1 Batch 8920/12277] loss=0.5756, lr=0.0000182, metrics:accuracy:0.6927
INFO:root:10:57:35 [Epoch 1 Batch 8930/12277] loss=0.5896, lr=0.0000182, metrics:accuracy:0.6928
INFO:root:10:57:36 [Epoch 1 Batch 8940/12277] loss=0.4915, lr=0.0000182, metrics:accuracy:0.6929
INFO:root:10:57:37 [Epoch 1 Batch 8950/12277] loss=0.6168, lr=0.0000182, metrics:accuracy:0.6930
INFO:root:10:57:39 [Epoch 1 Batch 8960/12277] loss=0.6080, lr=0.0000182, metrics:accuracy:0.6931
INFO:root:10:57:41 [Epoch 1 Batch 8970/12277] loss=0.6189, lr=0.0000182, metrics:accuracy:0.6932
INFO:root:10:57:42 [Epoch 1 Batch 8980/12277] loss=0.6067, lr=0.0000182, metrics:accuracy:0.6932
INFO:root:10:57:44 [Epoch 1 Batch 8990/12277] loss=0.5453, lr=0.0000182, metrics:accuracy:0.6933
INFO:root:10:57:45 [Epoch 1 Batch 9000/12277] loss=0.6450, lr=0.0000181, metrics:accuracy:0.6934
INFO:root:10:57:47 [Epoch 1 Batch 9010/12277] loss=0.6116, lr=0.0000181, metrics:accuracy:0.6934
INFO:root:10:57:48 [Epoch 1 Batch 9020/12277] loss=0.5791, lr=0.0000181, metrics:accuracy:0.6935
INFO:root:10:57:50 [Epoch 1 Batch 9030/12277] loss=0.6036, lr=0.0000181, metrics:accuracy:0.6936
INFO:root:10:57:52 [Epoch 1 Batch 9040/12277] loss=0.5571, lr=0.0000181, metrics:accuracy:0.6936
INFO:root:10:57:53 [Epoch 1 Batch 9050/12277] loss=0.6244, lr=0.0000181, metrics:accuracy:0.6937
INFO:root:10:57:55 [Epoch 1 Batch 9060/12277] loss=0.6170, lr=0.0000181, metrics:accuracy:0.6938
INFO:root:10:57:57 [Epoch 1 Batch 9070/12277] loss=0.5870, lr=0.0000181, metrics:accuracy:0.6938
INFO:root:10:57:58 [Epoch 1 Batch 9080/12277] loss=0.6976, lr=0.0000181, metrics:accuracy:0.6939
INFO:root:10:58:00 [Epoch 1 Batch 9090/12277] loss=0.6030, lr=0.0000181, metrics:accuracy:0.6940
INFO:root:10:58:01 [Epoch 1 Batch 9100/12277] loss=0.6365, lr=0.0000181, metrics:accuracy:0.6940
INFO:root:10:58:03 [Epoch 1 Batch 9110/12277] loss=0.6454, lr=0.0000181, metrics:accuracy:0.6940
INFO:root:10:58:05 [Epoch 1 Batch 9120/12277] loss=0.6344, lr=0.0000181, metrics:accuracy:0.6941
INFO:root:10:58:06 [Epoch 1 Batch 9130/12277] loss=0.5839, lr=0.0000181, metrics:accuracy:0.6941
INFO:root:10:58:08 [Epoch 1 Batch 9140/12277] loss=0.5711, lr=0.0000181, metrics:accuracy:0.6942
INFO:root:10:58:10 [Epoch 1 Batch 9150/12277] loss=0.6300, lr=0.0000181, metrics:accuracy:0.6943
INFO:root:10:58:12 [Epoch 1 Batch 9160/12277] loss=0.5605, lr=0.0000181, metrics:accuracy:0.6944
INFO:root:10:58:13 [Epoch 1 Batch 9170/12277] loss=0.6479, lr=0.0000181, metrics:accuracy:0.6944
INFO:root:10:58:15 [Epoch 1 Batch 9180/12277] loss=0.6400, lr=0.0000181, metrics:accuracy:0.6945
INFO:root:10:58:16 [Epoch 1 Batch 9190/12277] loss=0.5895, lr=0.0000181, metrics:accuracy:0.6946
INFO:root:10:58:18 [Epoch 1 Batch 9200/12277] loss=0.5565, lr=0.0000181, metrics:accuracy:0.6947
INFO:root:10:58:20 [Epoch 1 Batch 9210/12277] loss=0.5926, lr=0.0000181, metrics:accuracy:0.6947
INFO:root:10:58:21 [Epoch 1 Batch 9220/12277] loss=0.6061, lr=0.0000180, metrics:accuracy:0.6948
INFO:root:10:58:23 [Epoch 1 Batch 9230/12277] loss=0.7064, lr=0.0000180, metrics:accuracy:0.6948
INFO:root:10:58:25 [Epoch 1 Batch 9240/12277] loss=0.6824, lr=0.0000180, metrics:accuracy:0.6948
INFO:root:10:58:26 [Epoch 1 Batch 9250/12277] loss=0.6142, lr=0.0000180, metrics:accuracy:0.6949
INFO:root:10:58:28 [Epoch 1 Batch 9260/12277] loss=0.6435, lr=0.0000180, metrics:accuracy:0.6949
INFO:root:10:58:29 [Epoch 1 Batch 9270/12277] loss=0.5636, lr=0.0000180, metrics:accuracy:0.6950
INFO:root:10:58:31 [Epoch 1 Batch 9280/12277] loss=0.6126, lr=0.0000180, metrics:accuracy:0.6950
INFO:root:10:58:33 [Epoch 1 Batch 9290/12277] loss=0.6785, lr=0.0000180, metrics:accuracy:0.6951
INFO:root:10:58:34 [Epoch 1 Batch 9300/12277] loss=0.6940, lr=0.0000180, metrics:accuracy:0.6951
INFO:root:10:58:36 [Epoch 1 Batch 9310/12277] loss=0.5887, lr=0.0000180, metrics:accuracy:0.6952
INFO:root:10:58:38 [Epoch 1 Batch 9320/12277] loss=0.6211, lr=0.0000180, metrics:accuracy:0.6952
INFO:root:10:58:39 [Epoch 1 Batch 9330/12277] loss=0.6206, lr=0.0000180, metrics:accuracy:0.6952
INFO:root:10:58:41 [Epoch 1 Batch 9340/12277] loss=0.7050, lr=0.0000180, metrics:accuracy:0.6953
INFO:root:10:58:43 [Epoch 1 Batch 9350/12277] loss=0.6147, lr=0.0000180, metrics:accuracy:0.6953
INFO:root:10:58:45 [Epoch 1 Batch 9360/12277] loss=0.5845, lr=0.0000180, metrics:accuracy:0.6954
INFO:root:10:58:46 [Epoch 1 Batch 9370/12277] loss=0.5184, lr=0.0000180, metrics:accuracy:0.6955
INFO:root:10:58:48 [Epoch 1 Batch 9380/12277] loss=0.5581, lr=0.0000180, metrics:accuracy:0.6956
INFO:root:10:58:50 [Epoch 1 Batch 9390/12277] loss=0.6376, lr=0.0000180, metrics:accuracy:0.6957
INFO:root:10:58:51 [Epoch 1 Batch 9400/12277] loss=0.6860, lr=0.0000180, metrics:accuracy:0.6957
INFO:root:10:58:53 [Epoch 1 Batch 9410/12277] loss=0.5983, lr=0.0000180, metrics:accuracy:0.6958
INFO:root:10:58:54 [Epoch 1 Batch 9420/12277] loss=0.5718, lr=0.0000180, metrics:accuracy:0.6959
INFO:root:10:58:56 [Epoch 1 Batch 9430/12277] loss=0.6215, lr=0.0000180, metrics:accuracy:0.6960
INFO:root:10:58:58 [Epoch 1 Batch 9440/12277] loss=0.6104, lr=0.0000179, metrics:accuracy:0.6960
INFO:root:10:58:59 [Epoch 1 Batch 9450/12277] loss=0.6318, lr=0.0000179, metrics:accuracy:0.6961
INFO:root:10:59:01 [Epoch 1 Batch 9460/12277] loss=0.6780, lr=0.0000179, metrics:accuracy:0.6961
INFO:root:10:59:02 [Epoch 1 Batch 9470/12277] loss=0.6334, lr=0.0000179, metrics:accuracy:0.6961
INFO:root:10:59:04 [Epoch 1 Batch 9480/12277] loss=0.6586, lr=0.0000179, metrics:accuracy:0.6962
INFO:root:10:59:06 [Epoch 1 Batch 9490/12277] loss=0.5796, lr=0.0000179, metrics:accuracy:0.6962
INFO:root:10:59:07 [Epoch 1 Batch 9500/12277] loss=0.6961, lr=0.0000179, metrics:accuracy:0.6962
INFO:root:10:59:09 [Epoch 1 Batch 9510/12277] loss=0.6164, lr=0.0000179, metrics:accuracy:0.6963
INFO:root:10:59:11 [Epoch 1 Batch 9520/12277] loss=0.5940, lr=0.0000179, metrics:accuracy:0.6964
INFO:root:10:59:12 [Epoch 1 Batch 9530/12277] loss=0.6368, lr=0.0000179, metrics:accuracy:0.6964
INFO:root:10:59:14 [Epoch 1 Batch 9540/12277] loss=0.7008, lr=0.0000179, metrics:accuracy:0.6964
INFO:root:10:59:16 [Epoch 1 Batch 9550/12277] loss=0.5998, lr=0.0000179, metrics:accuracy:0.6965
INFO:root:10:59:17 [Epoch 1 Batch 9560/12277] loss=0.5720, lr=0.0000179, metrics:accuracy:0.6965
INFO:root:10:59:19 [Epoch 1 Batch 9570/12277] loss=0.6806, lr=0.0000179, metrics:accuracy:0.6965
INFO:root:10:59:21 [Epoch 1 Batch 9580/12277] loss=0.5538, lr=0.0000179, metrics:accuracy:0.6966
INFO:root:10:59:22 [Epoch 1 Batch 9590/12277] loss=0.6006, lr=0.0000179, metrics:accuracy:0.6967
INFO:root:10:59:24 [Epoch 1 Batch 9600/12277] loss=0.5857, lr=0.0000179, metrics:accuracy:0.6967
INFO:root:10:59:26 [Epoch 1 Batch 9610/12277] loss=0.6777, lr=0.0000179, metrics:accuracy:0.6968
INFO:root:10:59:27 [Epoch 1 Batch 9620/12277] loss=0.5682, lr=0.0000179, metrics:accuracy:0.6968
INFO:root:10:59:29 [Epoch 1 Batch 9630/12277] loss=0.6143, lr=0.0000179, metrics:accuracy:0.6969
INFO:root:10:59:31 [Epoch 1 Batch 9640/12277] loss=0.6309, lr=0.0000179, metrics:accuracy:0.6970
INFO:root:10:59:32 [Epoch 1 Batch 9650/12277] loss=0.6494, lr=0.0000179, metrics:accuracy:0.6970
INFO:root:10:59:34 [Epoch 1 Batch 9660/12277] loss=0.5414, lr=0.0000178, metrics:accuracy:0.6971
INFO:root:10:59:36 [Epoch 1 Batch 9670/12277] loss=0.5830, lr=0.0000178, metrics:accuracy:0.6972
INFO:root:10:59:37 [Epoch 1 Batch 9680/12277] loss=0.5727, lr=0.0000178, metrics:accuracy:0.6972
INFO:root:10:59:39 [Epoch 1 Batch 9690/12277] loss=0.5392, lr=0.0000178, metrics:accuracy:0.6973
INFO:root:10:59:40 [Epoch 1 Batch 9700/12277] loss=0.6537, lr=0.0000178, metrics:accuracy:0.6974
INFO:root:10:59:42 [Epoch 1 Batch 9710/12277] loss=0.6246, lr=0.0000178, metrics:accuracy:0.6974
INFO:root:10:59:43 [Epoch 1 Batch 9720/12277] loss=0.5513, lr=0.0000178, metrics:accuracy:0.6975
INFO:root:10:59:45 [Epoch 1 Batch 9730/12277] loss=0.6305, lr=0.0000178, metrics:accuracy:0.6976
INFO:root:10:59:47 [Epoch 1 Batch 9740/12277] loss=0.6265, lr=0.0000178, metrics:accuracy:0.6976
INFO:root:10:59:48 [Epoch 1 Batch 9750/12277] loss=0.6609, lr=0.0000178, metrics:accuracy:0.6977
INFO:root:10:59:50 [Epoch 1 Batch 9760/12277] loss=0.5533, lr=0.0000178, metrics:accuracy:0.6978
INFO:root:10:59:52 [Epoch 1 Batch 9770/12277] loss=0.6254, lr=0.0000178, metrics:accuracy:0.6978
INFO:root:10:59:53 [Epoch 1 Batch 9780/12277] loss=0.5598, lr=0.0000178, metrics:accuracy:0.6979
INFO:root:10:59:54 [Epoch 1 Batch 9790/12277] loss=0.6029, lr=0.0000178, metrics:accuracy:0.6979
INFO:root:10:59:56 [Epoch 1 Batch 9800/12277] loss=0.6231, lr=0.0000178, metrics:accuracy:0.6979
INFO:root:10:59:58 [Epoch 1 Batch 9810/12277] loss=0.6160, lr=0.0000178, metrics:accuracy:0.6980
INFO:root:11:00:00 [Epoch 1 Batch 9820/12277] loss=0.5387, lr=0.0000178, metrics:accuracy:0.6981
INFO:root:11:00:01 [Epoch 1 Batch 9830/12277] loss=0.6035, lr=0.0000178, metrics:accuracy:0.6982
INFO:root:11:00:03 [Epoch 1 Batch 9840/12277] loss=0.6822, lr=0.0000178, metrics:accuracy:0.6982
INFO:root:11:00:04 [Epoch 1 Batch 9850/12277] loss=0.6525, lr=0.0000178, metrics:accuracy:0.6982
INFO:root:11:00:06 [Epoch 1 Batch 9860/12277] loss=0.6440, lr=0.0000178, metrics:accuracy:0.6982
INFO:root:11:00:08 [Epoch 1 Batch 9870/12277] loss=0.6536, lr=0.0000178, metrics:accuracy:0.6983
INFO:root:11:00:10 [Epoch 1 Batch 9880/12277] loss=0.5694, lr=0.0000177, metrics:accuracy:0.6983
INFO:root:11:00:11 [Epoch 1 Batch 9890/12277] loss=0.6053, lr=0.0000177, metrics:accuracy:0.6984
INFO:root:11:00:13 [Epoch 1 Batch 9900/12277] loss=0.6205, lr=0.0000177, metrics:accuracy:0.6984
INFO:root:11:00:15 [Epoch 1 Batch 9910/12277] loss=0.6844, lr=0.0000177, metrics:accuracy:0.6984
INFO:root:11:00:16 [Epoch 1 Batch 9920/12277] loss=0.6204, lr=0.0000177, metrics:accuracy:0.6985
INFO:root:11:00:18 [Epoch 1 Batch 9930/12277] loss=0.5919, lr=0.0000177, metrics:accuracy:0.6985
INFO:root:11:00:19 [Epoch 1 Batch 9940/12277] loss=0.5841, lr=0.0000177, metrics:accuracy:0.6986
INFO:root:11:00:21 [Epoch 1 Batch 9950/12277] loss=0.5434, lr=0.0000177, metrics:accuracy:0.6987
INFO:root:11:00:22 [Epoch 1 Batch 9960/12277] loss=0.6299, lr=0.0000177, metrics:accuracy:0.6987
INFO:root:11:00:24 [Epoch 1 Batch 9970/12277] loss=0.6494, lr=0.0000177, metrics:accuracy:0.6988
INFO:root:11:00:25 [Epoch 1 Batch 9980/12277] loss=0.5810, lr=0.0000177, metrics:accuracy:0.6988
INFO:root:11:00:27 [Epoch 1 Batch 9990/12277] loss=0.6049, lr=0.0000177, metrics:accuracy:0.6989
INFO:root:11:00:28 [Epoch 1 Batch 10000/12277] loss=0.5780, lr=0.0000177, metrics:accuracy:0.6989
INFO:root:11:00:30 [Epoch 1 Batch 10010/12277] loss=0.5670, lr=0.0000177, metrics:accuracy:0.6990
INFO:root:11:00:31 [Epoch 1 Batch 10020/12277] loss=0.6633, lr=0.0000177, metrics:accuracy:0.6990
INFO:root:11:00:33 [Epoch 1 Batch 10030/12277] loss=0.5598, lr=0.0000177, metrics:accuracy:0.6991
INFO:root:11:00:35 [Epoch 1 Batch 10040/12277] loss=0.5636, lr=0.0000177, metrics:accuracy:0.6991
INFO:root:11:00:37 [Epoch 1 Batch 10050/12277] loss=0.6950, lr=0.0000177, metrics:accuracy:0.6991
INFO:root:11:00:38 [Epoch 1 Batch 10060/12277] loss=0.5876, lr=0.0000177, metrics:accuracy:0.6992
INFO:root:11:00:40 [Epoch 1 Batch 10070/12277] loss=0.5667, lr=0.0000177, metrics:accuracy:0.6993
INFO:root:11:00:42 [Epoch 1 Batch 10080/12277] loss=0.5999, lr=0.0000177, metrics:accuracy:0.6993
INFO:root:11:00:44 [Epoch 1 Batch 10090/12277] loss=0.6418, lr=0.0000177, metrics:accuracy:0.6994
INFO:root:11:00:46 [Epoch 1 Batch 10100/12277] loss=0.6984, lr=0.0000177, metrics:accuracy:0.6994
INFO:root:11:00:47 [Epoch 1 Batch 10110/12277] loss=0.5686, lr=0.0000176, metrics:accuracy:0.6994
INFO:root:11:00:49 [Epoch 1 Batch 10120/12277] loss=0.5829, lr=0.0000176, metrics:accuracy:0.6995
INFO:root:11:00:51 [Epoch 1 Batch 10130/12277] loss=0.6732, lr=0.0000176, metrics:accuracy:0.6995
INFO:root:11:00:52 [Epoch 1 Batch 10140/12277] loss=0.5758, lr=0.0000176, metrics:accuracy:0.6996
INFO:root:11:00:54 [Epoch 1 Batch 10150/12277] loss=0.6366, lr=0.0000176, metrics:accuracy:0.6997
INFO:root:11:00:56 [Epoch 1 Batch 10160/12277] loss=0.6346, lr=0.0000176, metrics:accuracy:0.6997
INFO:root:11:00:57 [Epoch 1 Batch 10170/12277] loss=0.5761, lr=0.0000176, metrics:accuracy:0.6998
INFO:root:11:00:59 [Epoch 1 Batch 10180/12277] loss=0.6701, lr=0.0000176, metrics:accuracy:0.6998
INFO:root:11:01:01 [Epoch 1 Batch 10190/12277] loss=0.5958, lr=0.0000176, metrics:accuracy:0.6999
INFO:root:11:01:02 [Epoch 1 Batch 10200/12277] loss=0.5303, lr=0.0000176, metrics:accuracy:0.7000
INFO:root:11:01:04 [Epoch 1 Batch 10210/12277] loss=0.5675, lr=0.0000176, metrics:accuracy:0.7000
INFO:root:11:01:06 [Epoch 1 Batch 10220/12277] loss=0.5382, lr=0.0000176, metrics:accuracy:0.7001
INFO:root:11:01:07 [Epoch 1 Batch 10230/12277] loss=0.7291, lr=0.0000176, metrics:accuracy:0.7001
INFO:root:11:01:09 [Epoch 1 Batch 10240/12277] loss=0.6353, lr=0.0000176, metrics:accuracy:0.7001
INFO:root:11:01:10 [Epoch 1 Batch 10250/12277] loss=0.6546, lr=0.0000176, metrics:accuracy:0.7001
INFO:root:11:01:12 [Epoch 1 Batch 10260/12277] loss=0.6468, lr=0.0000176, metrics:accuracy:0.7002
INFO:root:11:01:13 [Epoch 1 Batch 10270/12277] loss=0.6032, lr=0.0000176, metrics:accuracy:0.7002
INFO:root:11:01:15 [Epoch 1 Batch 10280/12277] loss=0.6295, lr=0.0000176, metrics:accuracy:0.7003
INFO:root:11:01:17 [Epoch 1 Batch 10290/12277] loss=0.6225, lr=0.0000176, metrics:accuracy:0.7003
INFO:root:11:01:18 [Epoch 1 Batch 10300/12277] loss=0.6196, lr=0.0000176, metrics:accuracy:0.7003
INFO:root:11:01:20 [Epoch 1 Batch 10310/12277] loss=0.6534, lr=0.0000176, metrics:accuracy:0.7004
INFO:root:11:01:21 [Epoch 1 Batch 10320/12277] loss=0.5879, lr=0.0000176, metrics:accuracy:0.7004
INFO:root:11:01:23 [Epoch 1 Batch 10330/12277] loss=0.6059, lr=0.0000175, metrics:accuracy:0.7005
INFO:root:11:01:25 [Epoch 1 Batch 10340/12277] loss=0.5779, lr=0.0000175, metrics:accuracy:0.7005
INFO:root:11:01:27 [Epoch 1 Batch 10350/12277] loss=0.6476, lr=0.0000175, metrics:accuracy:0.7006
INFO:root:11:01:28 [Epoch 1 Batch 10360/12277] loss=0.6109, lr=0.0000175, metrics:accuracy:0.7006
INFO:root:11:01:30 [Epoch 1 Batch 10370/12277] loss=0.6077, lr=0.0000175, metrics:accuracy:0.7007
INFO:root:11:01:31 [Epoch 1 Batch 10380/12277] loss=0.6846, lr=0.0000175, metrics:accuracy:0.7007
INFO:root:11:01:33 [Epoch 1 Batch 10390/12277] loss=0.5957, lr=0.0000175, metrics:accuracy:0.7008
INFO:root:11:01:35 [Epoch 1 Batch 10400/12277] loss=0.5846, lr=0.0000175, metrics:accuracy:0.7008
INFO:root:11:01:36 [Epoch 1 Batch 10410/12277] loss=0.5462, lr=0.0000175, metrics:accuracy:0.7009
INFO:root:11:01:38 [Epoch 1 Batch 10420/12277] loss=0.5941, lr=0.0000175, metrics:accuracy:0.7009
INFO:root:11:01:39 [Epoch 1 Batch 10430/12277] loss=0.5967, lr=0.0000175, metrics:accuracy:0.7010
INFO:root:11:01:41 [Epoch 1 Batch 10440/12277] loss=0.6755, lr=0.0000175, metrics:accuracy:0.7010
INFO:root:11:01:42 [Epoch 1 Batch 10450/12277] loss=0.6481, lr=0.0000175, metrics:accuracy:0.7010
INFO:root:11:01:44 [Epoch 1 Batch 10460/12277] loss=0.6763, lr=0.0000175, metrics:accuracy:0.7011
INFO:root:11:01:46 [Epoch 1 Batch 10470/12277] loss=0.7143, lr=0.0000175, metrics:accuracy:0.7011
INFO:root:11:01:47 [Epoch 1 Batch 10480/12277] loss=0.5972, lr=0.0000175, metrics:accuracy:0.7011
INFO:root:11:01:49 [Epoch 1 Batch 10490/12277] loss=0.6277, lr=0.0000175, metrics:accuracy:0.7012
INFO:root:11:01:51 [Epoch 1 Batch 10500/12277] loss=0.6391, lr=0.0000175, metrics:accuracy:0.7013
INFO:root:11:01:52 [Epoch 1 Batch 10510/12277] loss=0.6578, lr=0.0000175, metrics:accuracy:0.7013
INFO:root:11:01:54 [Epoch 1 Batch 10520/12277] loss=0.6569, lr=0.0000175, metrics:accuracy:0.7013
INFO:root:11:01:56 [Epoch 1 Batch 10530/12277] loss=0.5576, lr=0.0000175, metrics:accuracy:0.7014
INFO:root:11:01:57 [Epoch 1 Batch 10540/12277] loss=0.5157, lr=0.0000175, metrics:accuracy:0.7015
INFO:root:11:01:59 [Epoch 1 Batch 10550/12277] loss=0.5333, lr=0.0000174, metrics:accuracy:0.7016
INFO:root:11:02:00 [Epoch 1 Batch 10560/12277] loss=0.6235, lr=0.0000174, metrics:accuracy:0.7016
INFO:root:11:02:02 [Epoch 1 Batch 10570/12277] loss=0.5766, lr=0.0000174, metrics:accuracy:0.7017
INFO:root:11:02:03 [Epoch 1 Batch 10580/12277] loss=0.6148, lr=0.0000174, metrics:accuracy:0.7017
INFO:root:11:02:05 [Epoch 1 Batch 10590/12277] loss=0.5742, lr=0.0000174, metrics:accuracy:0.7018
INFO:root:11:02:07 [Epoch 1 Batch 10600/12277] loss=0.5971, lr=0.0000174, metrics:accuracy:0.7018
INFO:root:11:02:08 [Epoch 1 Batch 10610/12277] loss=0.5842, lr=0.0000174, metrics:accuracy:0.7019
INFO:root:11:02:10 [Epoch 1 Batch 10620/12277] loss=0.5962, lr=0.0000174, metrics:accuracy:0.7020
INFO:root:11:02:11 [Epoch 1 Batch 10630/12277] loss=0.6753, lr=0.0000174, metrics:accuracy:0.7020
INFO:root:11:02:13 [Epoch 1 Batch 10640/12277] loss=0.5791, lr=0.0000174, metrics:accuracy:0.7020
INFO:root:11:02:15 [Epoch 1 Batch 10650/12277] loss=0.6184, lr=0.0000174, metrics:accuracy:0.7021
INFO:root:11:02:17 [Epoch 1 Batch 10660/12277] loss=0.5476, lr=0.0000174, metrics:accuracy:0.7022
INFO:root:11:02:18 [Epoch 1 Batch 10670/12277] loss=0.5410, lr=0.0000174, metrics:accuracy:0.7022
INFO:root:11:02:20 [Epoch 1 Batch 10680/12277] loss=0.6008, lr=0.0000174, metrics:accuracy:0.7022
INFO:root:11:02:22 [Epoch 1 Batch 10690/12277] loss=0.6351, lr=0.0000174, metrics:accuracy:0.7023
INFO:root:11:02:23 [Epoch 1 Batch 10700/12277] loss=0.6364, lr=0.0000174, metrics:accuracy:0.7023
INFO:root:11:02:25 [Epoch 1 Batch 10710/12277] loss=0.6268, lr=0.0000174, metrics:accuracy:0.7023
INFO:root:11:02:26 [Epoch 1 Batch 10720/12277] loss=0.6053, lr=0.0000174, metrics:accuracy:0.7024
INFO:root:11:02:28 [Epoch 1 Batch 10730/12277] loss=0.5778, lr=0.0000174, metrics:accuracy:0.7025
INFO:root:11:02:30 [Epoch 1 Batch 10740/12277] loss=0.6287, lr=0.0000174, metrics:accuracy:0.7025
INFO:root:11:02:31 [Epoch 1 Batch 10750/12277] loss=0.5495, lr=0.0000174, metrics:accuracy:0.7026
INFO:root:11:02:33 [Epoch 1 Batch 10760/12277] loss=0.5950, lr=0.0000174, metrics:accuracy:0.7026
INFO:root:11:02:35 [Epoch 1 Batch 10770/12277] loss=0.6693, lr=0.0000173, metrics:accuracy:0.7026
INFO:root:11:02:37 [Epoch 1 Batch 10780/12277] loss=0.6222, lr=0.0000173, metrics:accuracy:0.7027
INFO:root:11:02:39 [Epoch 1 Batch 10790/12277] loss=0.5638, lr=0.0000173, metrics:accuracy:0.7028
INFO:root:11:02:40 [Epoch 1 Batch 10800/12277] loss=0.5627, lr=0.0000173, metrics:accuracy:0.7029
INFO:root:11:02:42 [Epoch 1 Batch 10810/12277] loss=0.4658, lr=0.0000173, metrics:accuracy:0.7030
INFO:root:11:02:44 [Epoch 1 Batch 10820/12277] loss=0.6045, lr=0.0000173, metrics:accuracy:0.7030
INFO:root:11:02:46 [Epoch 1 Batch 10830/12277] loss=0.7129, lr=0.0000173, metrics:accuracy:0.7030
INFO:root:11:02:47 [Epoch 1 Batch 10840/12277] loss=0.5617, lr=0.0000173, metrics:accuracy:0.7031
INFO:root:11:02:49 [Epoch 1 Batch 10850/12277] loss=0.5758, lr=0.0000173, metrics:accuracy:0.7031
INFO:root:11:02:51 [Epoch 1 Batch 10860/12277] loss=0.5807, lr=0.0000173, metrics:accuracy:0.7032
INFO:root:11:02:52 [Epoch 1 Batch 10870/12277] loss=0.6734, lr=0.0000173, metrics:accuracy:0.7032
INFO:root:11:02:54 [Epoch 1 Batch 10880/12277] loss=0.6509, lr=0.0000173, metrics:accuracy:0.7032
INFO:root:11:02:55 [Epoch 1 Batch 10890/12277] loss=0.6026, lr=0.0000173, metrics:accuracy:0.7033
INFO:root:11:02:57 [Epoch 1 Batch 10900/12277] loss=0.6671, lr=0.0000173, metrics:accuracy:0.7033
INFO:root:11:02:58 [Epoch 1 Batch 10910/12277] loss=0.7312, lr=0.0000173, metrics:accuracy:0.7033
INFO:root:11:03:00 [Epoch 1 Batch 10920/12277] loss=0.6578, lr=0.0000173, metrics:accuracy:0.7033
INFO:root:11:03:02 [Epoch 1 Batch 10930/12277] loss=0.6158, lr=0.0000173, metrics:accuracy:0.7034
INFO:root:11:03:04 [Epoch 1 Batch 10940/12277] loss=0.6167, lr=0.0000173, metrics:accuracy:0.7034
INFO:root:11:03:05 [Epoch 1 Batch 10950/12277] loss=0.6209, lr=0.0000173, metrics:accuracy:0.7034
INFO:root:11:03:07 [Epoch 1 Batch 10960/12277] loss=0.6206, lr=0.0000173, metrics:accuracy:0.7035
INFO:root:11:03:08 [Epoch 1 Batch 10970/12277] loss=0.5746, lr=0.0000173, metrics:accuracy:0.7036
INFO:root:11:03:10 [Epoch 1 Batch 10980/12277] loss=0.5950, lr=0.0000173, metrics:accuracy:0.7036
INFO:root:11:03:12 [Epoch 1 Batch 10990/12277] loss=0.6330, lr=0.0000172, metrics:accuracy:0.7036
INFO:root:11:03:14 [Epoch 1 Batch 11000/12277] loss=0.5788, lr=0.0000172, metrics:accuracy:0.7037
INFO:root:11:03:16 [Epoch 1 Batch 11010/12277] loss=0.6377, lr=0.0000172, metrics:accuracy:0.7037
INFO:root:11:03:18 [Epoch 1 Batch 11020/12277] loss=0.6118, lr=0.0000172, metrics:accuracy:0.7038
INFO:root:11:03:20 [Epoch 1 Batch 11030/12277] loss=0.5803, lr=0.0000172, metrics:accuracy:0.7038
INFO:root:11:03:21 [Epoch 1 Batch 11040/12277] loss=0.6225, lr=0.0000172, metrics:accuracy:0.7039
INFO:root:11:03:23 [Epoch 1 Batch 11050/12277] loss=0.6402, lr=0.0000172, metrics:accuracy:0.7039
INFO:root:11:03:25 [Epoch 1 Batch 11060/12277] loss=0.5991, lr=0.0000172, metrics:accuracy:0.7039
INFO:root:11:03:26 [Epoch 1 Batch 11070/12277] loss=0.6217, lr=0.0000172, metrics:accuracy:0.7040
INFO:root:11:03:28 [Epoch 1 Batch 11080/12277] loss=0.5949, lr=0.0000172, metrics:accuracy:0.7041
INFO:root:11:03:29 [Epoch 1 Batch 11090/12277] loss=0.5343, lr=0.0000172, metrics:accuracy:0.7041
INFO:root:11:03:31 [Epoch 1 Batch 11100/12277] loss=0.5865, lr=0.0000172, metrics:accuracy:0.7042
INFO:root:11:03:33 [Epoch 1 Batch 11110/12277] loss=0.6689, lr=0.0000172, metrics:accuracy:0.7042
INFO:root:11:03:34 [Epoch 1 Batch 11120/12277] loss=0.6677, lr=0.0000172, metrics:accuracy:0.7042
INFO:root:11:03:36 [Epoch 1 Batch 11130/12277] loss=0.6118, lr=0.0000172, metrics:accuracy:0.7043
INFO:root:11:03:37 [Epoch 1 Batch 11140/12277] loss=0.6101, lr=0.0000172, metrics:accuracy:0.7043
INFO:root:11:03:39 [Epoch 1 Batch 11150/12277] loss=0.5352, lr=0.0000172, metrics:accuracy:0.7043
INFO:root:11:03:40 [Epoch 1 Batch 11160/12277] loss=0.6345, lr=0.0000172, metrics:accuracy:0.7044
INFO:root:11:03:42 [Epoch 1 Batch 11170/12277] loss=0.6075, lr=0.0000172, metrics:accuracy:0.7044
INFO:root:11:03:44 [Epoch 1 Batch 11180/12277] loss=0.5666, lr=0.0000172, metrics:accuracy:0.7045
INFO:root:11:03:46 [Epoch 1 Batch 11190/12277] loss=0.6059, lr=0.0000172, metrics:accuracy:0.7045
INFO:root:11:03:47 [Epoch 1 Batch 11200/12277] loss=0.5725, lr=0.0000172, metrics:accuracy:0.7046
INFO:root:11:03:49 [Epoch 1 Batch 11210/12277] loss=0.6203, lr=0.0000171, metrics:accuracy:0.7046
INFO:root:11:03:50 [Epoch 1 Batch 11220/12277] loss=0.6255, lr=0.0000171, metrics:accuracy:0.7046
INFO:root:11:03:52 [Epoch 1 Batch 11230/12277] loss=0.6738, lr=0.0000171, metrics:accuracy:0.7047
INFO:root:11:03:54 [Epoch 1 Batch 11240/12277] loss=0.5912, lr=0.0000171, metrics:accuracy:0.7047
INFO:root:11:03:55 [Epoch 1 Batch 11250/12277] loss=0.6323, lr=0.0000171, metrics:accuracy:0.7047
INFO:root:11:03:57 [Epoch 1 Batch 11260/12277] loss=0.6619, lr=0.0000171, metrics:accuracy:0.7048
INFO:root:11:03:59 [Epoch 1 Batch 11270/12277] loss=0.5926, lr=0.0000171, metrics:accuracy:0.7048
INFO:root:11:04:00 [Epoch 1 Batch 11280/12277] loss=0.5981, lr=0.0000171, metrics:accuracy:0.7048
INFO:root:11:04:01 [Epoch 1 Batch 11290/12277] loss=0.6310, lr=0.0000171, metrics:accuracy:0.7049
INFO:root:11:04:03 [Epoch 1 Batch 11300/12277] loss=0.6647, lr=0.0000171, metrics:accuracy:0.7049
INFO:root:11:04:04 [Epoch 1 Batch 11310/12277] loss=0.6070, lr=0.0000171, metrics:accuracy:0.7049
INFO:root:11:04:06 [Epoch 1 Batch 11320/12277] loss=0.5843, lr=0.0000171, metrics:accuracy:0.7050
INFO:root:11:04:08 [Epoch 1 Batch 11330/12277] loss=0.6150, lr=0.0000171, metrics:accuracy:0.7050
INFO:root:11:04:09 [Epoch 1 Batch 11340/12277] loss=0.6834, lr=0.0000171, metrics:accuracy:0.7051
INFO:root:11:04:11 [Epoch 1 Batch 11350/12277] loss=0.5997, lr=0.0000171, metrics:accuracy:0.7051
INFO:root:11:04:12 [Epoch 1 Batch 11360/12277] loss=0.6429, lr=0.0000171, metrics:accuracy:0.7051
INFO:root:11:04:14 [Epoch 1 Batch 11370/12277] loss=0.5935, lr=0.0000171, metrics:accuracy:0.7052
INFO:root:11:04:16 [Epoch 1 Batch 11380/12277] loss=0.6735, lr=0.0000171, metrics:accuracy:0.7052
INFO:root:11:04:17 [Epoch 1 Batch 11390/12277] loss=0.6601, lr=0.0000171, metrics:accuracy:0.7052
INFO:root:11:04:19 [Epoch 1 Batch 11400/12277] loss=0.6904, lr=0.0000171, metrics:accuracy:0.7052
INFO:root:11:04:20 [Epoch 1 Batch 11410/12277] loss=0.6795, lr=0.0000171, metrics:accuracy:0.7052
INFO:root:11:04:22 [Epoch 1 Batch 11420/12277] loss=0.6482, lr=0.0000171, metrics:accuracy:0.7053
INFO:root:11:04:24 [Epoch 1 Batch 11430/12277] loss=0.5749, lr=0.0000170, metrics:accuracy:0.7053
INFO:root:11:04:25 [Epoch 1 Batch 11440/12277] loss=0.6406, lr=0.0000170, metrics:accuracy:0.7054
INFO:root:11:04:27 [Epoch 1 Batch 11450/12277] loss=0.5775, lr=0.0000170, metrics:accuracy:0.7054
INFO:root:11:04:29 [Epoch 1 Batch 11460/12277] loss=0.6111, lr=0.0000170, metrics:accuracy:0.7055
INFO:root:11:04:30 [Epoch 1 Batch 11470/12277] loss=0.5774, lr=0.0000170, metrics:accuracy:0.7055
INFO:root:11:04:32 [Epoch 1 Batch 11480/12277] loss=0.5928, lr=0.0000170, metrics:accuracy:0.7056
INFO:root:11:04:33 [Epoch 1 Batch 11490/12277] loss=0.5645, lr=0.0000170, metrics:accuracy:0.7056
INFO:root:11:04:35 [Epoch 1 Batch 11500/12277] loss=0.7190, lr=0.0000170, metrics:accuracy:0.7056
INFO:root:11:04:37 [Epoch 1 Batch 11510/12277] loss=0.5624, lr=0.0000170, metrics:accuracy:0.7057
INFO:root:11:04:38 [Epoch 1 Batch 11520/12277] loss=0.5905, lr=0.0000170, metrics:accuracy:0.7057
INFO:root:11:04:40 [Epoch 1 Batch 11530/12277] loss=0.5365, lr=0.0000170, metrics:accuracy:0.7058
INFO:root:11:04:42 [Epoch 1 Batch 11540/12277] loss=0.6107, lr=0.0000170, metrics:accuracy:0.7059
INFO:root:11:04:43 [Epoch 1 Batch 11550/12277] loss=0.6051, lr=0.0000170, metrics:accuracy:0.7059
INFO:root:11:04:45 [Epoch 1 Batch 11560/12277] loss=0.6059, lr=0.0000170, metrics:accuracy:0.7059
INFO:root:11:04:47 [Epoch 1 Batch 11570/12277] loss=0.6189, lr=0.0000170, metrics:accuracy:0.7060
INFO:root:11:04:49 [Epoch 1 Batch 11580/12277] loss=0.6341, lr=0.0000170, metrics:accuracy:0.7060
INFO:root:11:04:50 [Epoch 1 Batch 11590/12277] loss=0.5794, lr=0.0000170, metrics:accuracy:0.7061
INFO:root:11:04:52 [Epoch 1 Batch 11600/12277] loss=0.6820, lr=0.0000170, metrics:accuracy:0.7061
INFO:root:11:04:53 [Epoch 1 Batch 11610/12277] loss=0.5931, lr=0.0000170, metrics:accuracy:0.7061
INFO:root:11:04:55 [Epoch 1 Batch 11620/12277] loss=0.5659, lr=0.0000170, metrics:accuracy:0.7062
INFO:root:11:04:57 [Epoch 1 Batch 11630/12277] loss=0.6196, lr=0.0000170, metrics:accuracy:0.7062
INFO:root:11:04:58 [Epoch 1 Batch 11640/12277] loss=0.5941, lr=0.0000170, metrics:accuracy:0.7063
INFO:root:11:05:00 [Epoch 1 Batch 11650/12277] loss=0.6929, lr=0.0000169, metrics:accuracy:0.7063
INFO:root:11:05:02 [Epoch 1 Batch 11660/12277] loss=0.5828, lr=0.0000169, metrics:accuracy:0.7063
INFO:root:11:05:03 [Epoch 1 Batch 11670/12277] loss=0.6220, lr=0.0000169, metrics:accuracy:0.7064
INFO:root:11:05:05 [Epoch 1 Batch 11680/12277] loss=0.6321, lr=0.0000169, metrics:accuracy:0.7064
INFO:root:11:05:06 [Epoch 1 Batch 11690/12277] loss=0.5812, lr=0.0000169, metrics:accuracy:0.7064
INFO:root:11:05:08 [Epoch 1 Batch 11700/12277] loss=0.7164, lr=0.0000169, metrics:accuracy:0.7064
INFO:root:11:05:10 [Epoch 1 Batch 11710/12277] loss=0.6414, lr=0.0000169, metrics:accuracy:0.7064
INFO:root:11:05:11 [Epoch 1 Batch 11720/12277] loss=0.5608, lr=0.0000169, metrics:accuracy:0.7065
INFO:root:11:05:13 [Epoch 1 Batch 11730/12277] loss=0.6135, lr=0.0000169, metrics:accuracy:0.7065
INFO:root:11:05:14 [Epoch 1 Batch 11740/12277] loss=0.5433, lr=0.0000169, metrics:accuracy:0.7066
INFO:root:11:05:16 [Epoch 1 Batch 11750/12277] loss=0.5538, lr=0.0000169, metrics:accuracy:0.7066
INFO:root:11:05:18 [Epoch 1 Batch 11760/12277] loss=0.5434, lr=0.0000169, metrics:accuracy:0.7067
INFO:root:11:05:19 [Epoch 1 Batch 11770/12277] loss=0.6269, lr=0.0000169, metrics:accuracy:0.7067
INFO:root:11:05:21 [Epoch 1 Batch 11780/12277] loss=0.6875, lr=0.0000169, metrics:accuracy:0.7067
INFO:root:11:05:23 [Epoch 1 Batch 11790/12277] loss=0.6160, lr=0.0000169, metrics:accuracy:0.7068
INFO:root:11:05:24 [Epoch 1 Batch 11800/12277] loss=0.6057, lr=0.0000169, metrics:accuracy:0.7068
INFO:root:11:05:26 [Epoch 1 Batch 11810/12277] loss=0.6107, lr=0.0000169, metrics:accuracy:0.7068
INFO:root:11:05:28 [Epoch 1 Batch 11820/12277] loss=0.5826, lr=0.0000169, metrics:accuracy:0.7069
INFO:root:11:05:29 [Epoch 1 Batch 11830/12277] loss=0.5420, lr=0.0000169, metrics:accuracy:0.7069
INFO:root:11:05:31 [Epoch 1 Batch 11840/12277] loss=0.6102, lr=0.0000169, metrics:accuracy:0.7070
INFO:root:11:05:32 [Epoch 1 Batch 11850/12277] loss=0.5853, lr=0.0000169, metrics:accuracy:0.7070
INFO:root:11:05:34 [Epoch 1 Batch 11860/12277] loss=0.5531, lr=0.0000169, metrics:accuracy:0.7071
INFO:root:11:05:36 [Epoch 1 Batch 11870/12277] loss=0.5502, lr=0.0000168, metrics:accuracy:0.7071
INFO:root:11:05:38 [Epoch 1 Batch 11880/12277] loss=0.5678, lr=0.0000168, metrics:accuracy:0.7072
INFO:root:11:05:39 [Epoch 1 Batch 11890/12277] loss=0.5688, lr=0.0000168, metrics:accuracy:0.7072
INFO:root:11:05:41 [Epoch 1 Batch 11900/12277] loss=0.5822, lr=0.0000168, metrics:accuracy:0.7073
INFO:root:11:05:43 [Epoch 1 Batch 11910/12277] loss=0.6626, lr=0.0000168, metrics:accuracy:0.7073
INFO:root:11:05:44 [Epoch 1 Batch 11920/12277] loss=0.6469, lr=0.0000168, metrics:accuracy:0.7073
INFO:root:11:05:46 [Epoch 1 Batch 11930/12277] loss=0.5844, lr=0.0000168, metrics:accuracy:0.7073
INFO:root:11:05:47 [Epoch 1 Batch 11940/12277] loss=0.5888, lr=0.0000168, metrics:accuracy:0.7074
INFO:root:11:05:49 [Epoch 1 Batch 11950/12277] loss=0.5892, lr=0.0000168, metrics:accuracy:0.7074
INFO:root:11:05:50 [Epoch 1 Batch 11960/12277] loss=0.6373, lr=0.0000168, metrics:accuracy:0.7075
INFO:root:11:05:52 [Epoch 1 Batch 11970/12277] loss=0.6480, lr=0.0000168, metrics:accuracy:0.7075
INFO:root:11:05:54 [Epoch 1 Batch 11980/12277] loss=0.5662, lr=0.0000168, metrics:accuracy:0.7075
INFO:root:11:05:55 [Epoch 1 Batch 11990/12277] loss=0.5926, lr=0.0000168, metrics:accuracy:0.7076
INFO:root:11:05:57 [Epoch 1 Batch 12000/12277] loss=0.5986, lr=0.0000168, metrics:accuracy:0.7076
INFO:root:11:05:58 [Epoch 1 Batch 12010/12277] loss=0.6125, lr=0.0000168, metrics:accuracy:0.7077
INFO:root:11:06:00 [Epoch 1 Batch 12020/12277] loss=0.5977, lr=0.0000168, metrics:accuracy:0.7077
INFO:root:11:06:02 [Epoch 1 Batch 12030/12277] loss=0.5303, lr=0.0000168, metrics:accuracy:0.7078
INFO:root:11:06:04 [Epoch 1 Batch 12040/12277] loss=0.5942, lr=0.0000168, metrics:accuracy:0.7078
INFO:root:11:06:06 [Epoch 1 Batch 12050/12277] loss=0.6214, lr=0.0000168, metrics:accuracy:0.7078
INFO:root:11:06:08 [Epoch 1 Batch 12060/12277] loss=0.6265, lr=0.0000168, metrics:accuracy:0.7079
INFO:root:11:06:09 [Epoch 1 Batch 12070/12277] loss=0.5748, lr=0.0000168, metrics:accuracy:0.7079
INFO:root:11:06:11 [Epoch 1 Batch 12080/12277] loss=0.6167, lr=0.0000168, metrics:accuracy:0.7080
INFO:root:11:06:13 [Epoch 1 Batch 12090/12277] loss=0.5811, lr=0.0000167, metrics:accuracy:0.7080
INFO:root:11:06:14 [Epoch 1 Batch 12100/12277] loss=0.5804, lr=0.0000167, metrics:accuracy:0.7081
INFO:root:11:06:16 [Epoch 1 Batch 12110/12277] loss=0.6080, lr=0.0000167, metrics:accuracy:0.7081
INFO:root:11:06:18 [Epoch 1 Batch 12120/12277] loss=0.5616, lr=0.0000167, metrics:accuracy:0.7082
INFO:root:11:06:19 [Epoch 1 Batch 12130/12277] loss=0.6565, lr=0.0000167, metrics:accuracy:0.7082
INFO:root:11:06:21 [Epoch 1 Batch 12140/12277] loss=0.5151, lr=0.0000167, metrics:accuracy:0.7083
INFO:root:11:06:22 [Epoch 1 Batch 12150/12277] loss=0.6610, lr=0.0000167, metrics:accuracy:0.7083
INFO:root:11:06:24 [Epoch 1 Batch 12160/12277] loss=0.5602, lr=0.0000167, metrics:accuracy:0.7083
INFO:root:11:06:25 [Epoch 1 Batch 12170/12277] loss=0.6438, lr=0.0000167, metrics:accuracy:0.7083
INFO:root:11:06:27 [Epoch 1 Batch 12180/12277] loss=0.6339, lr=0.0000167, metrics:accuracy:0.7083
INFO:root:11:06:29 [Epoch 1 Batch 12190/12277] loss=0.6088, lr=0.0000167, metrics:accuracy:0.7084
INFO:root:11:06:30 [Epoch 1 Batch 12200/12277] loss=0.5075, lr=0.0000167, metrics:accuracy:0.7084
INFO:root:11:06:32 [Epoch 1 Batch 12210/12277] loss=0.6053, lr=0.0000167, metrics:accuracy:0.7085
INFO:root:11:06:33 [Epoch 1 Batch 12220/12277] loss=0.5630, lr=0.0000167, metrics:accuracy:0.7085
INFO:root:11:06:35 [Epoch 1 Batch 12230/12277] loss=0.6043, lr=0.0000167, metrics:accuracy:0.7086
INFO:root:11:06:36 [Epoch 1 Batch 12240/12277] loss=0.7129, lr=0.0000167, metrics:accuracy:0.7086
INFO:root:11:06:37 [Epoch 1 Batch 12250/12277] loss=0.5759, lr=0.0000167, metrics:accuracy:0.7086
INFO:root:11:06:39 [Epoch 1 Batch 12260/12277] loss=0.4727, lr=0.0000167, metrics:accuracy:0.7087
INFO:root:11:06:41 [Epoch 1 Batch 12270/12277] loss=0.6049, lr=0.0000167, metrics:accuracy:0.7087
INFO:root:11:06:41 Now we are doing evaluation on dev with gpu(0).
INFO:root:11:06:42 [Batch 10/312] loss=0.5383, metrics:accuracy:0.7875
INFO:root:11:06:42 [Batch 20/312] loss=0.5580, metrics:accuracy:0.7688
INFO:root:11:06:42 [Batch 30/312] loss=0.5855, metrics:accuracy:0.7708
INFO:root:11:06:42 [Batch 40/312] loss=0.6251, metrics:accuracy:0.7656
INFO:root:11:06:43 [Batch 50/312] loss=0.5308, metrics:accuracy:0.7725
INFO:root:11:06:43 [Batch 60/312] loss=0.4456, metrics:accuracy:0.7896
INFO:root:11:06:43 [Batch 70/312] loss=0.5270, metrics:accuracy:0.7911
INFO:root:11:06:43 [Batch 80/312] loss=0.6642, metrics:accuracy:0.7906
INFO:root:11:06:43 [Batch 90/312] loss=0.7184, metrics:accuracy:0.7875
INFO:root:11:06:43 [Batch 100/312] loss=0.6810, metrics:accuracy:0.7762
INFO:root:11:06:44 [Batch 110/312] loss=0.5188, metrics:accuracy:0.7750
INFO:root:11:06:44 [Batch 120/312] loss=0.6427, metrics:accuracy:0.7729
INFO:root:11:06:44 [Batch 130/312] loss=0.7123, metrics:accuracy:0.7692
INFO:root:11:06:44 [Batch 140/312] loss=0.4930, metrics:accuracy:0.7723
INFO:root:11:06:44 [Batch 150/312] loss=0.7431, metrics:accuracy:0.7683
INFO:root:11:06:45 [Batch 160/312] loss=0.5016, metrics:accuracy:0.7688
INFO:root:11:06:45 [Batch 170/312] loss=0.4528, metrics:accuracy:0.7721
INFO:root:11:06:45 [Batch 180/312] loss=0.4577, metrics:accuracy:0.7736
INFO:root:11:06:45 [Batch 190/312] loss=0.5605, metrics:accuracy:0.7750
INFO:root:11:06:45 [Batch 200/312] loss=0.6353, metrics:accuracy:0.7738
INFO:root:11:06:46 [Batch 210/312] loss=0.6702, metrics:accuracy:0.7708
INFO:root:11:06:46 [Batch 220/312] loss=0.5198, metrics:accuracy:0.7727
INFO:root:11:06:46 [Batch 230/312] loss=0.5268, metrics:accuracy:0.7712
INFO:root:11:06:46 [Batch 240/312] loss=0.3980, metrics:accuracy:0.7755
INFO:root:11:06:46 [Batch 250/312] loss=0.4907, metrics:accuracy:0.7765
INFO:root:11:06:47 [Batch 260/312] loss=0.7401, metrics:accuracy:0.7740
INFO:root:11:06:47 [Batch 270/312] loss=0.5114, metrics:accuracy:0.7750
INFO:root:11:06:47 [Batch 280/312] loss=0.5042, metrics:accuracy:0.7750
INFO:root:11:06:47 [Batch 290/312] loss=0.7781, metrics:accuracy:0.7711
INFO:root:11:06:47 [Batch 300/312] loss=0.6498, metrics:accuracy:0.7704
INFO:root:11:06:47 [Batch 310/312] loss=0.5759, metrics:accuracy:0.7698
INFO:root:11:06:47 validation metrics:accuracy:0.7699
INFO:root:11:06:47 Time cost=6.02s, throughput=414.75 samples/s
INFO:root:11:06:48 params saved in: ./output_dir/model_bert_XNLI_0.params
INFO:root:11:06:48 Time cost=2012.49s
INFO:root:11:06:50 [Epoch 2 Batch 10/12277] loss=0.4750, lr=0.0000167, metrics:accuracy:0.7906
INFO:root:11:06:52 [Epoch 2 Batch 20/12277] loss=0.4866, lr=0.0000167, metrics:accuracy:0.8094
INFO:root:11:06:53 [Epoch 2 Batch 30/12277] loss=0.4843, lr=0.0000167, metrics:accuracy:0.8115
INFO:root:11:06:55 [Epoch 2 Batch 40/12277] loss=0.5398, lr=0.0000166, metrics:accuracy:0.8086
INFO:root:11:06:57 [Epoch 2 Batch 50/12277] loss=0.5135, lr=0.0000166, metrics:accuracy:0.8050
INFO:root:11:06:58 [Epoch 2 Batch 60/12277] loss=0.4656, lr=0.0000166, metrics:accuracy:0.8057
INFO:root:11:07:00 [Epoch 2 Batch 70/12277] loss=0.4988, lr=0.0000166, metrics:accuracy:0.8071
INFO:root:11:07:02 [Epoch 2 Batch 80/12277] loss=0.5592, lr=0.0000166, metrics:accuracy:0.8035
INFO:root:11:07:04 [Epoch 2 Batch 90/12277] loss=0.5287, lr=0.0000166, metrics:accuracy:0.8042
INFO:root:11:07:05 [Epoch 2 Batch 100/12277] loss=0.5282, lr=0.0000166, metrics:accuracy:0.8019
INFO:root:11:07:07 [Epoch 2 Batch 110/12277] loss=0.5708, lr=0.0000166, metrics:accuracy:0.7983
INFO:root:11:07:09 [Epoch 2 Batch 120/12277] loss=0.5381, lr=0.0000166, metrics:accuracy:0.7969
INFO:root:11:07:10 [Epoch 2 Batch 130/12277] loss=0.5841, lr=0.0000166, metrics:accuracy:0.7950
INFO:root:11:07:12 [Epoch 2 Batch 140/12277] loss=0.4676, lr=0.0000166, metrics:accuracy:0.7962
INFO:root:11:07:14 [Epoch 2 Batch 150/12277] loss=0.5281, lr=0.0000166, metrics:accuracy:0.7952
INFO:root:11:07:15 [Epoch 2 Batch 160/12277] loss=0.5433, lr=0.0000166, metrics:accuracy:0.7947
INFO:root:11:07:17 [Epoch 2 Batch 170/12277] loss=0.5201, lr=0.0000166, metrics:accuracy:0.7949
INFO:root:11:07:19 [Epoch 2 Batch 180/12277] loss=0.4926, lr=0.0000166, metrics:accuracy:0.7955
INFO:root:11:07:20 [Epoch 2 Batch 190/12277] loss=0.5104, lr=0.0000166, metrics:accuracy:0.7959
INFO:root:11:07:22 [Epoch 2 Batch 200/12277] loss=0.4646, lr=0.0000166, metrics:accuracy:0.7969
INFO:root:11:07:23 [Epoch 2 Batch 210/12277] loss=0.4547, lr=0.0000166, metrics:accuracy:0.7978
INFO:root:11:07:25 [Epoch 2 Batch 220/12277] loss=0.5070, lr=0.0000166, metrics:accuracy:0.7974
INFO:root:11:07:26 [Epoch 2 Batch 230/12277] loss=0.4618, lr=0.0000166, metrics:accuracy:0.7988
INFO:root:11:07:28 [Epoch 2 Batch 240/12277] loss=0.4829, lr=0.0000166, metrics:accuracy:0.8000
INFO:root:11:07:30 [Epoch 2 Batch 250/12277] loss=0.5635, lr=0.0000166, metrics:accuracy:0.7987
INFO:root:11:07:31 [Epoch 2 Batch 260/12277] loss=0.6116, lr=0.0000165, metrics:accuracy:0.7966
INFO:root:11:07:33 [Epoch 2 Batch 270/12277] loss=0.5757, lr=0.0000165, metrics:accuracy:0.7959
INFO:root:11:07:35 [Epoch 2 Batch 280/12277] loss=0.4592, lr=0.0000165, metrics:accuracy:0.7968
INFO:root:11:07:36 [Epoch 2 Batch 290/12277] loss=0.5326, lr=0.0000165, metrics:accuracy:0.7971
INFO:root:11:07:37 [Epoch 2 Batch 300/12277] loss=0.5301, lr=0.0000165, metrics:accuracy:0.7972
INFO:root:11:07:39 [Epoch 2 Batch 310/12277] loss=0.5530, lr=0.0000165, metrics:accuracy:0.7969
INFO:root:11:07:41 [Epoch 2 Batch 320/12277] loss=0.5229, lr=0.0000165, metrics:accuracy:0.7963
INFO:root:11:07:42 [Epoch 2 Batch 330/12277] loss=0.5188, lr=0.0000165, metrics:accuracy:0.7950
INFO:root:11:07:44 [Epoch 2 Batch 340/12277] loss=0.5159, lr=0.0000165, metrics:accuracy:0.7952
INFO:root:11:07:46 [Epoch 2 Batch 350/12277] loss=0.4753, lr=0.0000165, metrics:accuracy:0.7958
INFO:root:11:07:47 [Epoch 2 Batch 360/12277] loss=0.5444, lr=0.0000165, metrics:accuracy:0.7953
INFO:root:11:07:49 [Epoch 2 Batch 370/12277] loss=0.5478, lr=0.0000165, metrics:accuracy:0.7950
INFO:root:11:07:51 [Epoch 2 Batch 380/12277] loss=0.5313, lr=0.0000165, metrics:accuracy:0.7951
INFO:root:11:07:52 [Epoch 2 Batch 390/12277] loss=0.5209, lr=0.0000165, metrics:accuracy:0.7948
INFO:root:11:07:54 [Epoch 2 Batch 400/12277] loss=0.4628, lr=0.0000165, metrics:accuracy:0.7950
INFO:root:11:07:56 [Epoch 2 Batch 410/12277] loss=0.5754, lr=0.0000165, metrics:accuracy:0.7947
INFO:root:11:07:57 [Epoch 2 Batch 420/12277] loss=0.4717, lr=0.0000165, metrics:accuracy:0.7955
INFO:root:11:07:59 [Epoch 2 Batch 430/12277] loss=0.4685, lr=0.0000165, metrics:accuracy:0.7962
INFO:root:11:08:01 [Epoch 2 Batch 440/12277] loss=0.5376, lr=0.0000165, metrics:accuracy:0.7957
INFO:root:11:08:02 [Epoch 2 Batch 450/12277] loss=0.5542, lr=0.0000165, metrics:accuracy:0.7953
INFO:root:11:08:04 [Epoch 2 Batch 460/12277] loss=0.5557, lr=0.0000165, metrics:accuracy:0.7951
INFO:root:11:08:05 [Epoch 2 Batch 470/12277] loss=0.5542, lr=0.0000165, metrics:accuracy:0.7947
INFO:root:11:08:07 [Epoch 2 Batch 480/12277] loss=0.5587, lr=0.0000164, metrics:accuracy:0.7946
INFO:root:11:08:09 [Epoch 2 Batch 490/12277] loss=0.5636, lr=0.0000164, metrics:accuracy:0.7946
INFO:root:11:08:10 [Epoch 2 Batch 500/12277] loss=0.4311, lr=0.0000164, metrics:accuracy:0.7954
INFO:root:11:08:12 [Epoch 2 Batch 510/12277] loss=0.5844, lr=0.0000164, metrics:accuracy:0.7948
INFO:root:11:08:13 [Epoch 2 Batch 520/12277] loss=0.5760, lr=0.0000164, metrics:accuracy:0.7939
INFO:root:11:08:15 [Epoch 2 Batch 530/12277] loss=0.4967, lr=0.0000164, metrics:accuracy:0.7943
INFO:root:11:08:16 [Epoch 2 Batch 540/12277] loss=0.5920, lr=0.0000164, metrics:accuracy:0.7937
INFO:root:11:08:18 [Epoch 2 Batch 550/12277] loss=0.5321, lr=0.0000164, metrics:accuracy:0.7932
INFO:root:11:08:20 [Epoch 2 Batch 560/12277] loss=0.5101, lr=0.0000164, metrics:accuracy:0.7935
INFO:root:11:08:21 [Epoch 2 Batch 570/12277] loss=0.5229, lr=0.0000164, metrics:accuracy:0.7937
INFO:root:11:08:23 [Epoch 2 Batch 580/12277] loss=0.5244, lr=0.0000164, metrics:accuracy:0.7938
INFO:root:11:08:25 [Epoch 2 Batch 590/12277] loss=0.5103, lr=0.0000164, metrics:accuracy:0.7937
INFO:root:11:08:26 [Epoch 2 Batch 600/12277] loss=0.5164, lr=0.0000164, metrics:accuracy:0.7937
INFO:root:11:08:28 [Epoch 2 Batch 610/12277] loss=0.4994, lr=0.0000164, metrics:accuracy:0.7938
INFO:root:11:08:30 [Epoch 2 Batch 620/12277] loss=0.4902, lr=0.0000164, metrics:accuracy:0.7936
INFO:root:11:08:31 [Epoch 2 Batch 630/12277] loss=0.4878, lr=0.0000164, metrics:accuracy:0.7939
INFO:root:11:08:33 [Epoch 2 Batch 640/12277] loss=0.5174, lr=0.0000164, metrics:accuracy:0.7939
INFO:root:11:08:35 [Epoch 2 Batch 650/12277] loss=0.5122, lr=0.0000164, metrics:accuracy:0.7937
INFO:root:11:08:37 [Epoch 2 Batch 660/12277] loss=0.5840, lr=0.0000164, metrics:accuracy:0.7933
INFO:root:11:08:38 [Epoch 2 Batch 670/12277] loss=0.5338, lr=0.0000164, metrics:accuracy:0.7933
INFO:root:11:08:40 [Epoch 2 Batch 680/12277] loss=0.4762, lr=0.0000164, metrics:accuracy:0.7935
INFO:root:11:08:41 [Epoch 2 Batch 690/12277] loss=0.4458, lr=0.0000164, metrics:accuracy:0.7939
INFO:root:11:08:43 [Epoch 2 Batch 700/12277] loss=0.5861, lr=0.0000163, metrics:accuracy:0.7938
INFO:root:11:08:44 [Epoch 2 Batch 710/12277] loss=0.4960, lr=0.0000163, metrics:accuracy:0.7940
INFO:root:11:08:45 [Epoch 2 Batch 720/12277] loss=0.5364, lr=0.0000163, metrics:accuracy:0.7936
INFO:root:11:08:47 [Epoch 2 Batch 730/12277] loss=0.5675, lr=0.0000163, metrics:accuracy:0.7932
INFO:root:11:08:49 [Epoch 2 Batch 740/12277] loss=0.6149, lr=0.0000163, metrics:accuracy:0.7927
INFO:root:11:08:51 [Epoch 2 Batch 750/12277] loss=0.5070, lr=0.0000163, metrics:accuracy:0.7930
INFO:root:11:08:53 [Epoch 2 Batch 760/12277] loss=0.5387, lr=0.0000163, metrics:accuracy:0.7932
INFO:root:11:08:54 [Epoch 2 Batch 770/12277] loss=0.7062, lr=0.0000163, metrics:accuracy:0.7920
INFO:root:11:08:56 [Epoch 2 Batch 780/12277] loss=0.6226, lr=0.0000163, metrics:accuracy:0.7915
INFO:root:11:08:57 [Epoch 2 Batch 790/12277] loss=0.5304, lr=0.0000163, metrics:accuracy:0.7914
INFO:root:11:08:59 [Epoch 2 Batch 800/12277] loss=0.5304, lr=0.0000163, metrics:accuracy:0.7913
INFO:root:11:09:00 [Epoch 2 Batch 810/12277] loss=0.5050, lr=0.0000163, metrics:accuracy:0.7914
INFO:root:11:09:02 [Epoch 2 Batch 820/12277] loss=0.6179, lr=0.0000163, metrics:accuracy:0.7911
INFO:root:11:09:04 [Epoch 2 Batch 830/12277] loss=0.5577, lr=0.0000163, metrics:accuracy:0.7911
INFO:root:11:09:05 [Epoch 2 Batch 840/12277] loss=0.5445, lr=0.0000163, metrics:accuracy:0.7908
INFO:root:11:09:07 [Epoch 2 Batch 850/12277] loss=0.5909, lr=0.0000163, metrics:accuracy:0.7908
INFO:root:11:09:08 [Epoch 2 Batch 860/12277] loss=0.5765, lr=0.0000163, metrics:accuracy:0.7904
INFO:root:11:09:10 [Epoch 2 Batch 870/12277] loss=0.5387, lr=0.0000163, metrics:accuracy:0.7906
INFO:root:11:09:12 [Epoch 2 Batch 880/12277] loss=0.6005, lr=0.0000163, metrics:accuracy:0.7901
INFO:root:11:09:14 [Epoch 2 Batch 890/12277] loss=0.5683, lr=0.0000163, metrics:accuracy:0.7898
INFO:root:11:09:15 [Epoch 2 Batch 900/12277] loss=0.5276, lr=0.0000163, metrics:accuracy:0.7898
INFO:root:11:09:17 [Epoch 2 Batch 910/12277] loss=0.5385, lr=0.0000163, metrics:accuracy:0.7898
INFO:root:11:09:19 [Epoch 2 Batch 920/12277] loss=0.4966, lr=0.0000162, metrics:accuracy:0.7901
INFO:root:11:09:20 [Epoch 2 Batch 930/12277] loss=0.5902, lr=0.0000162, metrics:accuracy:0.7899
INFO:root:11:09:23 [Epoch 2 Batch 940/12277] loss=0.5247, lr=0.0000162, metrics:accuracy:0.7901
INFO:root:11:09:24 [Epoch 2 Batch 950/12277] loss=0.5461, lr=0.0000162, metrics:accuracy:0.7900
INFO:root:11:09:26 [Epoch 2 Batch 960/12277] loss=0.5285, lr=0.0000162, metrics:accuracy:0.7899
INFO:root:11:09:27 [Epoch 2 Batch 970/12277] loss=0.6146, lr=0.0000162, metrics:accuracy:0.7894
INFO:root:11:09:29 [Epoch 2 Batch 980/12277] loss=0.5488, lr=0.0000162, metrics:accuracy:0.7893
INFO:root:11:09:31 [Epoch 2 Batch 990/12277] loss=0.5370, lr=0.0000162, metrics:accuracy:0.7896
INFO:root:11:09:32 [Epoch 2 Batch 1000/12277] loss=0.5206, lr=0.0000162, metrics:accuracy:0.7897
INFO:root:11:09:34 [Epoch 2 Batch 1010/12277] loss=0.5834, lr=0.0000162, metrics:accuracy:0.7893
INFO:root:11:09:36 [Epoch 2 Batch 1020/12277] loss=0.5401, lr=0.0000162, metrics:accuracy:0.7892
INFO:root:11:09:38 [Epoch 2 Batch 1030/12277] loss=0.4684, lr=0.0000162, metrics:accuracy:0.7897
INFO:root:11:09:39 [Epoch 2 Batch 1040/12277] loss=0.5380, lr=0.0000162, metrics:accuracy:0.7895
INFO:root:11:09:41 [Epoch 2 Batch 1050/12277] loss=0.5015, lr=0.0000162, metrics:accuracy:0.7899
INFO:root:11:09:43 [Epoch 2 Batch 1060/12277] loss=0.4731, lr=0.0000162, metrics:accuracy:0.7902
INFO:root:11:09:44 [Epoch 2 Batch 1070/12277] loss=0.5540, lr=0.0000162, metrics:accuracy:0.7900
INFO:root:11:09:46 [Epoch 2 Batch 1080/12277] loss=0.4843, lr=0.0000162, metrics:accuracy:0.7901
INFO:root:11:09:48 [Epoch 2 Batch 1090/12277] loss=0.5652, lr=0.0000162, metrics:accuracy:0.7901
INFO:root:11:09:49 [Epoch 2 Batch 1100/12277] loss=0.4372, lr=0.0000162, metrics:accuracy:0.7906
INFO:root:11:09:51 [Epoch 2 Batch 1110/12277] loss=0.5102, lr=0.0000162, metrics:accuracy:0.7906
INFO:root:11:09:53 [Epoch 2 Batch 1120/12277] loss=0.5580, lr=0.0000162, metrics:accuracy:0.7904
INFO:root:11:09:54 [Epoch 2 Batch 1130/12277] loss=0.5071, lr=0.0000162, metrics:accuracy:0.7903
INFO:root:11:09:56 [Epoch 2 Batch 1140/12277] loss=0.5289, lr=0.0000161, metrics:accuracy:0.7903
INFO:root:11:09:58 [Epoch 2 Batch 1150/12277] loss=0.4424, lr=0.0000161, metrics:accuracy:0.7905
INFO:root:11:09:59 [Epoch 2 Batch 1160/12277] loss=0.5150, lr=0.0000161, metrics:accuracy:0.7905
INFO:root:11:10:01 [Epoch 2 Batch 1170/12277] loss=0.4953, lr=0.0000161, metrics:accuracy:0.7906
INFO:root:11:10:02 [Epoch 2 Batch 1180/12277] loss=0.4883, lr=0.0000161, metrics:accuracy:0.7908
INFO:root:11:10:04 [Epoch 2 Batch 1190/12277] loss=0.5153, lr=0.0000161, metrics:accuracy:0.7909
INFO:root:11:10:06 [Epoch 2 Batch 1200/12277] loss=0.5509, lr=0.0000161, metrics:accuracy:0.7911
INFO:root:11:10:07 [Epoch 2 Batch 1210/12277] loss=0.5362, lr=0.0000161, metrics:accuracy:0.7911
INFO:root:11:10:09 [Epoch 2 Batch 1220/12277] loss=0.4992, lr=0.0000161, metrics:accuracy:0.7911
INFO:root:11:10:10 [Epoch 2 Batch 1230/12277] loss=0.4947, lr=0.0000161, metrics:accuracy:0.7913
INFO:root:11:10:12 [Epoch 2 Batch 1240/12277] loss=0.5477, lr=0.0000161, metrics:accuracy:0.7912
INFO:root:11:10:14 [Epoch 2 Batch 1250/12277] loss=0.5515, lr=0.0000161, metrics:accuracy:0.7913
INFO:root:11:10:15 [Epoch 2 Batch 1260/12277] loss=0.5486, lr=0.0000161, metrics:accuracy:0.7911
INFO:root:11:10:18 [Epoch 2 Batch 1270/12277] loss=0.5446, lr=0.0000161, metrics:accuracy:0.7911
INFO:root:11:10:19 [Epoch 2 Batch 1280/12277] loss=0.4903, lr=0.0000161, metrics:accuracy:0.7912
INFO:root:11:10:21 [Epoch 2 Batch 1290/12277] loss=0.6399, lr=0.0000161, metrics:accuracy:0.7910
INFO:root:11:10:23 [Epoch 2 Batch 1300/12277] loss=0.4904, lr=0.0000161, metrics:accuracy:0.7910
INFO:root:11:10:24 [Epoch 2 Batch 1310/12277] loss=0.5313, lr=0.0000161, metrics:accuracy:0.7909
INFO:root:11:10:26 [Epoch 2 Batch 1320/12277] loss=0.5655, lr=0.0000161, metrics:accuracy:0.7907
INFO:root:11:10:28 [Epoch 2 Batch 1330/12277] loss=0.4595, lr=0.0000161, metrics:accuracy:0.7908
INFO:root:11:10:29 [Epoch 2 Batch 1340/12277] loss=0.6319, lr=0.0000161, metrics:accuracy:0.7905
INFO:root:11:10:31 [Epoch 2 Batch 1350/12277] loss=0.5059, lr=0.0000161, metrics:accuracy:0.7905
INFO:root:11:10:33 [Epoch 2 Batch 1360/12277] loss=0.4945, lr=0.0000160, metrics:accuracy:0.7906
INFO:root:11:10:34 [Epoch 2 Batch 1370/12277] loss=0.5901, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:10:36 [Epoch 2 Batch 1380/12277] loss=0.5167, lr=0.0000160, metrics:accuracy:0.7905
INFO:root:11:10:37 [Epoch 2 Batch 1390/12277] loss=0.5601, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:10:39 [Epoch 2 Batch 1400/12277] loss=0.5705, lr=0.0000160, metrics:accuracy:0.7902
INFO:root:11:10:41 [Epoch 2 Batch 1410/12277] loss=0.5793, lr=0.0000160, metrics:accuracy:0.7901
INFO:root:11:10:42 [Epoch 2 Batch 1420/12277] loss=0.5025, lr=0.0000160, metrics:accuracy:0.7902
INFO:root:11:10:44 [Epoch 2 Batch 1430/12277] loss=0.5090, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:10:46 [Epoch 2 Batch 1440/12277] loss=0.6037, lr=0.0000160, metrics:accuracy:0.7903
INFO:root:11:10:48 [Epoch 2 Batch 1450/12277] loss=0.4597, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:10:49 [Epoch 2 Batch 1460/12277] loss=0.5357, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:10:51 [Epoch 2 Batch 1470/12277] loss=0.5217, lr=0.0000160, metrics:accuracy:0.7903
INFO:root:11:10:52 [Epoch 2 Batch 1480/12277] loss=0.4751, lr=0.0000160, metrics:accuracy:0.7906
INFO:root:11:10:54 [Epoch 2 Batch 1490/12277] loss=0.5065, lr=0.0000160, metrics:accuracy:0.7905
INFO:root:11:10:56 [Epoch 2 Batch 1500/12277] loss=0.5450, lr=0.0000160, metrics:accuracy:0.7906
INFO:root:11:10:57 [Epoch 2 Batch 1510/12277] loss=0.5589, lr=0.0000160, metrics:accuracy:0.7905
INFO:root:11:10:59 [Epoch 2 Batch 1520/12277] loss=0.4792, lr=0.0000160, metrics:accuracy:0.7906
INFO:root:11:11:01 [Epoch 2 Batch 1530/12277] loss=0.4869, lr=0.0000160, metrics:accuracy:0.7908
INFO:root:11:11:02 [Epoch 2 Batch 1540/12277] loss=0.5786, lr=0.0000160, metrics:accuracy:0.7906
INFO:root:11:11:04 [Epoch 2 Batch 1550/12277] loss=0.5288, lr=0.0000160, metrics:accuracy:0.7906
INFO:root:11:11:06 [Epoch 2 Batch 1560/12277] loss=0.6017, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:11:08 [Epoch 2 Batch 1570/12277] loss=0.5117, lr=0.0000160, metrics:accuracy:0.7904
INFO:root:11:11:09 [Epoch 2 Batch 1580/12277] loss=0.5001, lr=0.0000159, metrics:accuracy:0.7904
INFO:root:11:11:11 [Epoch 2 Batch 1590/12277] loss=0.5728, lr=0.0000159, metrics:accuracy:0.7903
INFO:root:11:11:13 [Epoch 2 Batch 1600/12277] loss=0.4990, lr=0.0000159, metrics:accuracy:0.7905
INFO:root:11:11:15 [Epoch 2 Batch 1610/12277] loss=0.4858, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:16 [Epoch 2 Batch 1620/12277] loss=0.4807, lr=0.0000159, metrics:accuracy:0.7907
INFO:root:11:11:18 [Epoch 2 Batch 1630/12277] loss=0.5748, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:19 [Epoch 2 Batch 1640/12277] loss=0.4916, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:21 [Epoch 2 Batch 1650/12277] loss=0.5278, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:22 [Epoch 2 Batch 1660/12277] loss=0.4771, lr=0.0000159, metrics:accuracy:0.7907
INFO:root:11:11:24 [Epoch 2 Batch 1670/12277] loss=0.5928, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:25 [Epoch 2 Batch 1680/12277] loss=0.5152, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:27 [Epoch 2 Batch 1690/12277] loss=0.5277, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:29 [Epoch 2 Batch 1700/12277] loss=0.4766, lr=0.0000159, metrics:accuracy:0.7907
INFO:root:11:11:30 [Epoch 2 Batch 1710/12277] loss=0.4905, lr=0.0000159, metrics:accuracy:0.7909
INFO:root:11:11:32 [Epoch 2 Batch 1720/12277] loss=0.6829, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:34 [Epoch 2 Batch 1730/12277] loss=0.5556, lr=0.0000159, metrics:accuracy:0.7906
INFO:root:11:11:35 [Epoch 2 Batch 1740/12277] loss=0.5687, lr=0.0000159, metrics:accuracy:0.7905
INFO:root:11:11:37 [Epoch 2 Batch 1750/12277] loss=0.5371, lr=0.0000159, metrics:accuracy:0.7903
INFO:root:11:11:39 [Epoch 2 Batch 1760/12277] loss=0.5368, lr=0.0000159, metrics:accuracy:0.7903
INFO:root:11:11:40 [Epoch 2 Batch 1770/12277] loss=0.5559, lr=0.0000159, metrics:accuracy:0.7902
INFO:root:11:11:42 [Epoch 2 Batch 1780/12277] loss=0.5045, lr=0.0000159, metrics:accuracy:0.7903
INFO:root:11:11:44 [Epoch 2 Batch 1790/12277] loss=0.5904, lr=0.0000159, metrics:accuracy:0.7902
INFO:root:11:11:45 [Epoch 2 Batch 1800/12277] loss=0.5078, lr=0.0000158, metrics:accuracy:0.7903
INFO:root:11:11:47 [Epoch 2 Batch 1810/12277] loss=0.4792, lr=0.0000158, metrics:accuracy:0.7904
INFO:root:11:11:49 [Epoch 2 Batch 1820/12277] loss=0.5663, lr=0.0000158, metrics:accuracy:0.7904
INFO:root:11:11:50 [Epoch 2 Batch 1830/12277] loss=0.5200, lr=0.0000158, metrics:accuracy:0.7905
INFO:root:11:11:52 [Epoch 2 Batch 1840/12277] loss=0.5047, lr=0.0000158, metrics:accuracy:0.7905
INFO:root:11:11:53 [Epoch 2 Batch 1850/12277] loss=0.5012, lr=0.0000158, metrics:accuracy:0.7906
INFO:root:11:11:55 [Epoch 2 Batch 1860/12277] loss=0.5763, lr=0.0000158, metrics:accuracy:0.7905
INFO:root:11:11:57 [Epoch 2 Batch 1870/12277] loss=0.5547, lr=0.0000158, metrics:accuracy:0.7905
INFO:root:11:11:58 [Epoch 2 Batch 1880/12277] loss=0.5325, lr=0.0000158, metrics:accuracy:0.7906
INFO:root:11:12:00 [Epoch 2 Batch 1890/12277] loss=0.5310, lr=0.0000158, metrics:accuracy:0.7906
INFO:root:11:12:02 [Epoch 2 Batch 1900/12277] loss=0.4803, lr=0.0000158, metrics:accuracy:0.7908
INFO:root:11:12:03 [Epoch 2 Batch 1910/12277] loss=0.5872, lr=0.0000158, metrics:accuracy:0.7907
INFO:root:11:12:05 [Epoch 2 Batch 1920/12277] loss=0.5502, lr=0.0000158, metrics:accuracy:0.7908
INFO:root:11:12:07 [Epoch 2 Batch 1930/12277] loss=0.4782, lr=0.0000158, metrics:accuracy:0.7910
INFO:root:11:12:09 [Epoch 2 Batch 1940/12277] loss=0.4952, lr=0.0000158, metrics:accuracy:0.7912
INFO:root:11:12:10 [Epoch 2 Batch 1950/12277] loss=0.4517, lr=0.0000158, metrics:accuracy:0.7913
INFO:root:11:12:12 [Epoch 2 Batch 1960/12277] loss=0.5732, lr=0.0000158, metrics:accuracy:0.7911
INFO:root:11:12:14 [Epoch 2 Batch 1970/12277] loss=0.5357, lr=0.0000158, metrics:accuracy:0.7911
INFO:root:11:12:15 [Epoch 2 Batch 1980/12277] loss=0.5793, lr=0.0000158, metrics:accuracy:0.7910
INFO:root:11:12:17 [Epoch 2 Batch 1990/12277] loss=0.5433, lr=0.0000158, metrics:accuracy:0.7911
INFO:root:11:12:18 [Epoch 2 Batch 2000/12277] loss=0.5277, lr=0.0000158, metrics:accuracy:0.7912
INFO:root:11:12:20 [Epoch 2 Batch 2010/12277] loss=0.5174, lr=0.0000158, metrics:accuracy:0.7913
INFO:root:11:12:21 [Epoch 2 Batch 2020/12277] loss=0.5783, lr=0.0000158, metrics:accuracy:0.7912
INFO:root:11:12:23 [Epoch 2 Batch 2030/12277] loss=0.6361, lr=0.0000157, metrics:accuracy:0.7909
INFO:root:11:12:24 [Epoch 2 Batch 2040/12277] loss=0.4908, lr=0.0000157, metrics:accuracy:0.7910
INFO:root:11:12:26 [Epoch 2 Batch 2050/12277] loss=0.5643, lr=0.0000157, metrics:accuracy:0.7908
INFO:root:11:12:28 [Epoch 2 Batch 2060/12277] loss=0.4587, lr=0.0000157, metrics:accuracy:0.7909
INFO:root:11:12:29 [Epoch 2 Batch 2070/12277] loss=0.5456, lr=0.0000157, metrics:accuracy:0.7909
INFO:root:11:12:31 [Epoch 2 Batch 2080/12277] loss=0.5277, lr=0.0000157, metrics:accuracy:0.7909
INFO:root:11:12:32 [Epoch 2 Batch 2090/12277] loss=0.5506, lr=0.0000157, metrics:accuracy:0.7909
INFO:root:11:12:34 [Epoch 2 Batch 2100/12277] loss=0.5186, lr=0.0000157, metrics:accuracy:0.7910
INFO:root:11:12:35 [Epoch 2 Batch 2110/12277] loss=0.5165, lr=0.0000157, metrics:accuracy:0.7910
INFO:root:11:12:37 [Epoch 2 Batch 2120/12277] loss=0.5437, lr=0.0000157, metrics:accuracy:0.7910
INFO:root:11:12:39 [Epoch 2 Batch 2130/12277] loss=0.6030, lr=0.0000157, metrics:accuracy:0.7907
INFO:root:11:12:40 [Epoch 2 Batch 2140/12277] loss=0.5418, lr=0.0000157, metrics:accuracy:0.7908
INFO:root:11:12:42 [Epoch 2 Batch 2150/12277] loss=0.4977, lr=0.0000157, metrics:accuracy:0.7908
INFO:root:11:12:44 [Epoch 2 Batch 2160/12277] loss=0.4714, lr=0.0000157, metrics:accuracy:0.7910
INFO:root:11:12:45 [Epoch 2 Batch 2170/12277] loss=0.5033, lr=0.0000157, metrics:accuracy:0.7910
INFO:root:11:12:47 [Epoch 2 Batch 2180/12277] loss=0.4832, lr=0.0000157, metrics:accuracy:0.7911
INFO:root:11:12:48 [Epoch 2 Batch 2190/12277] loss=0.5606, lr=0.0000157, metrics:accuracy:0.7911
INFO:root:11:12:50 [Epoch 2 Batch 2200/12277] loss=0.4769, lr=0.0000157, metrics:accuracy:0.7912
INFO:root:11:12:51 [Epoch 2 Batch 2210/12277] loss=0.5218, lr=0.0000157, metrics:accuracy:0.7912
INFO:root:11:12:53 [Epoch 2 Batch 2220/12277] loss=0.5043, lr=0.0000157, metrics:accuracy:0.7913
INFO:root:11:12:55 [Epoch 2 Batch 2230/12277] loss=0.4246, lr=0.0000157, metrics:accuracy:0.7915
INFO:root:11:12:56 [Epoch 2 Batch 2240/12277] loss=0.5446, lr=0.0000157, metrics:accuracy:0.7915
INFO:root:11:12:58 [Epoch 2 Batch 2250/12277] loss=0.5745, lr=0.0000156, metrics:accuracy:0.7913
INFO:root:11:13:00 [Epoch 2 Batch 2260/12277] loss=0.5476, lr=0.0000156, metrics:accuracy:0.7912
INFO:root:11:13:01 [Epoch 2 Batch 2270/12277] loss=0.4691, lr=0.0000156, metrics:accuracy:0.7914
INFO:root:11:13:03 [Epoch 2 Batch 2280/12277] loss=0.5376, lr=0.0000156, metrics:accuracy:0.7914
INFO:root:11:13:04 [Epoch 2 Batch 2290/12277] loss=0.5894, lr=0.0000156, metrics:accuracy:0.7913
INFO:root:11:13:06 [Epoch 2 Batch 2300/12277] loss=0.5539, lr=0.0000156, metrics:accuracy:0.7911
INFO:root:11:13:08 [Epoch 2 Batch 2310/12277] loss=0.5323, lr=0.0000156, metrics:accuracy:0.7911
INFO:root:11:13:09 [Epoch 2 Batch 2320/12277] loss=0.5881, lr=0.0000156, metrics:accuracy:0.7910
INFO:root:11:13:11 [Epoch 2 Batch 2330/12277] loss=0.5371, lr=0.0000156, metrics:accuracy:0.7909
INFO:root:11:13:13 [Epoch 2 Batch 2340/12277] loss=0.4827, lr=0.0000156, metrics:accuracy:0.7910
INFO:root:11:13:14 [Epoch 2 Batch 2350/12277] loss=0.4904, lr=0.0000156, metrics:accuracy:0.7910
INFO:root:11:13:16 [Epoch 2 Batch 2360/12277] loss=0.5067, lr=0.0000156, metrics:accuracy:0.7910
INFO:root:11:13:18 [Epoch 2 Batch 2370/12277] loss=0.5378, lr=0.0000156, metrics:accuracy:0.7910
INFO:root:11:13:19 [Epoch 2 Batch 2380/12277] loss=0.5722, lr=0.0000156, metrics:accuracy:0.7908
INFO:root:11:13:21 [Epoch 2 Batch 2390/12277] loss=0.4459, lr=0.0000156, metrics:accuracy:0.7909
INFO:root:11:13:22 [Epoch 2 Batch 2400/12277] loss=0.5926, lr=0.0000156, metrics:accuracy:0.7908
INFO:root:11:13:24 [Epoch 2 Batch 2410/12277] loss=0.5243, lr=0.0000156, metrics:accuracy:0.7908
INFO:root:11:13:26 [Epoch 2 Batch 2420/12277] loss=0.5129, lr=0.0000156, metrics:accuracy:0.7908
INFO:root:11:13:27 [Epoch 2 Batch 2430/12277] loss=0.5011, lr=0.0000156, metrics:accuracy:0.7908
INFO:root:11:13:29 [Epoch 2 Batch 2440/12277] loss=0.5514, lr=0.0000156, metrics:accuracy:0.7907
INFO:root:11:13:30 [Epoch 2 Batch 2450/12277] loss=0.5615, lr=0.0000156, metrics:accuracy:0.7906
INFO:root:11:13:32 [Epoch 2 Batch 2460/12277] loss=0.5755, lr=0.0000156, metrics:accuracy:0.7906
INFO:root:11:13:34 [Epoch 2 Batch 2470/12277] loss=0.4927, lr=0.0000155, metrics:accuracy:0.7906
INFO:root:11:13:35 [Epoch 2 Batch 2480/12277] loss=0.5155, lr=0.0000155, metrics:accuracy:0.7907
INFO:root:11:13:37 [Epoch 2 Batch 2490/12277] loss=0.4418, lr=0.0000155, metrics:accuracy:0.7908
INFO:root:11:13:38 [Epoch 2 Batch 2500/12277] loss=0.4747, lr=0.0000155, metrics:accuracy:0.7909
INFO:root:11:13:40 [Epoch 2 Batch 2510/12277] loss=0.5118, lr=0.0000155, metrics:accuracy:0.7909
INFO:root:11:13:42 [Epoch 2 Batch 2520/12277] loss=0.6321, lr=0.0000155, metrics:accuracy:0.7907
INFO:root:11:13:44 [Epoch 2 Batch 2530/12277] loss=0.6080, lr=0.0000155, metrics:accuracy:0.7907
INFO:root:11:13:45 [Epoch 2 Batch 2540/12277] loss=0.4704, lr=0.0000155, metrics:accuracy:0.7907
INFO:root:11:13:47 [Epoch 2 Batch 2550/12277] loss=0.5630, lr=0.0000155, metrics:accuracy:0.7907
INFO:root:11:13:48 [Epoch 2 Batch 2560/12277] loss=0.4943, lr=0.0000155, metrics:accuracy:0.7907
INFO:root:11:13:50 [Epoch 2 Batch 2570/12277] loss=0.5119, lr=0.0000155, metrics:accuracy:0.7908
INFO:root:11:13:52 [Epoch 2 Batch 2580/12277] loss=0.4888, lr=0.0000155, metrics:accuracy:0.7909
INFO:root:11:13:53 [Epoch 2 Batch 2590/12277] loss=0.4840, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:13:55 [Epoch 2 Batch 2600/12277] loss=0.4636, lr=0.0000155, metrics:accuracy:0.7911
INFO:root:11:13:57 [Epoch 2 Batch 2610/12277] loss=0.5782, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:13:58 [Epoch 2 Batch 2620/12277] loss=0.5407, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:14:00 [Epoch 2 Batch 2630/12277] loss=0.4831, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:14:02 [Epoch 2 Batch 2640/12277] loss=0.5659, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:14:03 [Epoch 2 Batch 2650/12277] loss=0.5501, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:14:04 [Epoch 2 Batch 2660/12277] loss=0.4946, lr=0.0000155, metrics:accuracy:0.7909
INFO:root:11:14:06 [Epoch 2 Batch 2670/12277] loss=0.4658, lr=0.0000155, metrics:accuracy:0.7910
INFO:root:11:14:07 [Epoch 2 Batch 2680/12277] loss=0.4945, lr=0.0000155, metrics:accuracy:0.7911
INFO:root:11:14:09 [Epoch 2 Batch 2690/12277] loss=0.5031, lr=0.0000154, metrics:accuracy:0.7911
INFO:root:11:14:11 [Epoch 2 Batch 2700/12277] loss=0.5699, lr=0.0000154, metrics:accuracy:0.7910
INFO:root:11:14:13 [Epoch 2 Batch 2710/12277] loss=0.4699, lr=0.0000154, metrics:accuracy:0.7910
INFO:root:11:14:14 [Epoch 2 Batch 2720/12277] loss=0.5841, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:16 [Epoch 2 Batch 2730/12277] loss=0.5363, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:18 [Epoch 2 Batch 2740/12277] loss=0.4747, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:19 [Epoch 2 Batch 2750/12277] loss=0.4650, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:21 [Epoch 2 Batch 2760/12277] loss=0.4858, lr=0.0000154, metrics:accuracy:0.7910
INFO:root:11:14:23 [Epoch 2 Batch 2770/12277] loss=0.5713, lr=0.0000154, metrics:accuracy:0.7908
INFO:root:11:14:24 [Epoch 2 Batch 2780/12277] loss=0.5210, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:26 [Epoch 2 Batch 2790/12277] loss=0.5489, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:28 [Epoch 2 Batch 2800/12277] loss=0.5046, lr=0.0000154, metrics:accuracy:0.7909
INFO:root:11:14:29 [Epoch 2 Batch 2810/12277] loss=0.5553, lr=0.0000154, metrics:accuracy:0.7910
INFO:root:11:14:31 [Epoch 2 Batch 2820/12277] loss=0.5555, lr=0.0000154, metrics:accuracy:0.7910
INFO:root:11:14:33 [Epoch 2 Batch 2830/12277] loss=0.4745, lr=0.0000154, metrics:accuracy:0.7911
INFO:root:11:14:35 [Epoch 2 Batch 2840/12277] loss=0.4920, lr=0.0000154, metrics:accuracy:0.7912
INFO:root:11:14:36 [Epoch 2 Batch 2850/12277] loss=0.5558, lr=0.0000154, metrics:accuracy:0.7912
INFO:root:11:14:38 [Epoch 2 Batch 2860/12277] loss=0.5699, lr=0.0000154, metrics:accuracy:0.7912
INFO:root:11:14:39 [Epoch 2 Batch 2870/12277] loss=0.4953, lr=0.0000154, metrics:accuracy:0.7913
INFO:root:11:14:41 [Epoch 2 Batch 2880/12277] loss=0.4756, lr=0.0000154, metrics:accuracy:0.7914
INFO:root:11:14:43 [Epoch 2 Batch 2890/12277] loss=0.5089, lr=0.0000154, metrics:accuracy:0.7915
INFO:root:11:14:44 [Epoch 2 Batch 2900/12277] loss=0.5219, lr=0.0000154, metrics:accuracy:0.7915
INFO:root:11:14:46 [Epoch 2 Batch 2910/12277] loss=0.5882, lr=0.0000153, metrics:accuracy:0.7915
INFO:root:11:14:48 [Epoch 2 Batch 2920/12277] loss=0.5388, lr=0.0000153, metrics:accuracy:0.7914
INFO:root:11:14:49 [Epoch 2 Batch 2930/12277] loss=0.5607, lr=0.0000153, metrics:accuracy:0.7914
INFO:root:11:14:51 [Epoch 2 Batch 2940/12277] loss=0.5019, lr=0.0000153, metrics:accuracy:0.7915
INFO:root:11:14:53 [Epoch 2 Batch 2950/12277] loss=0.5231, lr=0.0000153, metrics:accuracy:0.7915
INFO:root:11:14:54 [Epoch 2 Batch 2960/12277] loss=0.4999, lr=0.0000153, metrics:accuracy:0.7916
INFO:root:11:14:56 [Epoch 2 Batch 2970/12277] loss=0.5781, lr=0.0000153, metrics:accuracy:0.7916
INFO:root:11:14:58 [Epoch 2 Batch 2980/12277] loss=0.5193, lr=0.0000153, metrics:accuracy:0.7917
INFO:root:11:14:59 [Epoch 2 Batch 2990/12277] loss=0.5133, lr=0.0000153, metrics:accuracy:0.7916
INFO:root:11:15:01 [Epoch 2 Batch 3000/12277] loss=0.4594, lr=0.0000153, metrics:accuracy:0.7917
INFO:root:11:15:03 [Epoch 2 Batch 3010/12277] loss=0.4748, lr=0.0000153, metrics:accuracy:0.7919
INFO:root:11:15:04 [Epoch 2 Batch 3020/12277] loss=0.5795, lr=0.0000153, metrics:accuracy:0.7919
INFO:root:11:15:06 [Epoch 2 Batch 3030/12277] loss=0.5976, lr=0.0000153, metrics:accuracy:0.7918
INFO:root:11:15:07 [Epoch 2 Batch 3040/12277] loss=0.4895, lr=0.0000153, metrics:accuracy:0.7918
INFO:root:11:15:09 [Epoch 2 Batch 3050/12277] loss=0.5193, lr=0.0000153, metrics:accuracy:0.7919
INFO:root:11:15:11 [Epoch 2 Batch 3060/12277] loss=0.4971, lr=0.0000153, metrics:accuracy:0.7920
INFO:root:11:15:12 [Epoch 2 Batch 3070/12277] loss=0.5557, lr=0.0000153, metrics:accuracy:0.7920
INFO:root:11:15:14 [Epoch 2 Batch 3080/12277] loss=0.4928, lr=0.0000153, metrics:accuracy:0.7920
INFO:root:11:15:16 [Epoch 2 Batch 3090/12277] loss=0.4509, lr=0.0000153, metrics:accuracy:0.7922
INFO:root:11:15:17 [Epoch 2 Batch 3100/12277] loss=0.4707, lr=0.0000153, metrics:accuracy:0.7921
INFO:root:11:15:19 [Epoch 2 Batch 3110/12277] loss=0.4859, lr=0.0000153, metrics:accuracy:0.7921
INFO:root:11:15:21 [Epoch 2 Batch 3120/12277] loss=0.4879, lr=0.0000153, metrics:accuracy:0.7922
INFO:root:11:15:23 [Epoch 2 Batch 3130/12277] loss=0.5992, lr=0.0000152, metrics:accuracy:0.7921
INFO:root:11:15:25 [Epoch 2 Batch 3140/12277] loss=0.5647, lr=0.0000152, metrics:accuracy:0.7920
INFO:root:11:15:27 [Epoch 2 Batch 3150/12277] loss=0.6373, lr=0.0000152, metrics:accuracy:0.7918
INFO:root:11:15:28 [Epoch 2 Batch 3160/12277] loss=0.4646, lr=0.0000152, metrics:accuracy:0.7919
INFO:root:11:15:30 [Epoch 2 Batch 3170/12277] loss=0.4524, lr=0.0000152, metrics:accuracy:0.7921
INFO:root:11:15:32 [Epoch 2 Batch 3180/12277] loss=0.5216, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:34 [Epoch 2 Batch 3190/12277] loss=0.5294, lr=0.0000152, metrics:accuracy:0.7921
INFO:root:11:15:35 [Epoch 2 Batch 3200/12277] loss=0.4958, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:37 [Epoch 2 Batch 3210/12277] loss=0.4838, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:39 [Epoch 2 Batch 3220/12277] loss=0.5584, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:40 [Epoch 2 Batch 3230/12277] loss=0.4775, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:42 [Epoch 2 Batch 3240/12277] loss=0.4644, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:43 [Epoch 2 Batch 3250/12277] loss=0.4945, lr=0.0000152, metrics:accuracy:0.7923
INFO:root:11:15:45 [Epoch 2 Batch 3260/12277] loss=0.5681, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:47 [Epoch 2 Batch 3270/12277] loss=0.5002, lr=0.0000152, metrics:accuracy:0.7923
INFO:root:11:15:48 [Epoch 2 Batch 3280/12277] loss=0.5279, lr=0.0000152, metrics:accuracy:0.7923
INFO:root:11:15:50 [Epoch 2 Batch 3290/12277] loss=0.5981, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:51 [Epoch 2 Batch 3300/12277] loss=0.4982, lr=0.0000152, metrics:accuracy:0.7923
INFO:root:11:15:53 [Epoch 2 Batch 3310/12277] loss=0.5251, lr=0.0000152, metrics:accuracy:0.7923
INFO:root:11:15:54 [Epoch 2 Batch 3320/12277] loss=0.5754, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:56 [Epoch 2 Batch 3330/12277] loss=0.6014, lr=0.0000152, metrics:accuracy:0.7922
INFO:root:11:15:57 [Epoch 2 Batch 3340/12277] loss=0.6259, lr=0.0000152, metrics:accuracy:0.7921
INFO:root:11:15:59 [Epoch 2 Batch 3350/12277] loss=0.5588, lr=0.0000151, metrics:accuracy:0.7920
INFO:root:11:16:01 [Epoch 2 Batch 3360/12277] loss=0.4772, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:02 [Epoch 2 Batch 3370/12277] loss=0.5181, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:04 [Epoch 2 Batch 3380/12277] loss=0.5463, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:05 [Epoch 2 Batch 3390/12277] loss=0.4355, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:07 [Epoch 2 Batch 3400/12277] loss=0.5399, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:08 [Epoch 2 Batch 3410/12277] loss=0.4863, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:10 [Epoch 2 Batch 3420/12277] loss=0.5814, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:12 [Epoch 2 Batch 3430/12277] loss=0.5470, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:13 [Epoch 2 Batch 3440/12277] loss=0.6075, lr=0.0000151, metrics:accuracy:0.7920
INFO:root:11:16:14 [Epoch 2 Batch 3450/12277] loss=0.5046, lr=0.0000151, metrics:accuracy:0.7921
INFO:root:11:16:16 [Epoch 2 Batch 3460/12277] loss=0.5025, lr=0.0000151, metrics:accuracy:0.7921
INFO:root:11:16:18 [Epoch 2 Batch 3470/12277] loss=0.4555, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:19 [Epoch 2 Batch 3480/12277] loss=0.5479, lr=0.0000151, metrics:accuracy:0.7921
INFO:root:11:16:21 [Epoch 2 Batch 3490/12277] loss=0.4894, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:22 [Epoch 2 Batch 3500/12277] loss=0.5458, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:24 [Epoch 2 Batch 3510/12277] loss=0.4802, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:25 [Epoch 2 Batch 3520/12277] loss=0.5615, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:27 [Epoch 2 Batch 3530/12277] loss=0.4926, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:28 [Epoch 2 Batch 3540/12277] loss=0.5789, lr=0.0000151, metrics:accuracy:0.7923
INFO:root:11:16:30 [Epoch 2 Batch 3550/12277] loss=0.5287, lr=0.0000151, metrics:accuracy:0.7922
INFO:root:11:16:32 [Epoch 2 Batch 3560/12277] loss=0.5647, lr=0.0000151, metrics:accuracy:0.7921
INFO:root:11:16:33 [Epoch 2 Batch 3570/12277] loss=0.5619, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:35 [Epoch 2 Batch 3580/12277] loss=0.5582, lr=0.0000150, metrics:accuracy:0.7920
INFO:root:11:16:36 [Epoch 2 Batch 3590/12277] loss=0.5923, lr=0.0000150, metrics:accuracy:0.7919
INFO:root:11:16:38 [Epoch 2 Batch 3600/12277] loss=0.5054, lr=0.0000150, metrics:accuracy:0.7919
INFO:root:11:16:40 [Epoch 2 Batch 3610/12277] loss=0.5190, lr=0.0000150, metrics:accuracy:0.7919
INFO:root:11:16:42 [Epoch 2 Batch 3620/12277] loss=0.5182, lr=0.0000150, metrics:accuracy:0.7919
INFO:root:11:16:43 [Epoch 2 Batch 3630/12277] loss=0.4950, lr=0.0000150, metrics:accuracy:0.7920
INFO:root:11:16:45 [Epoch 2 Batch 3640/12277] loss=0.5423, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:46 [Epoch 2 Batch 3650/12277] loss=0.5878, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:48 [Epoch 2 Batch 3660/12277] loss=0.4731, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:50 [Epoch 2 Batch 3670/12277] loss=0.5318, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:51 [Epoch 2 Batch 3680/12277] loss=0.5434, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:53 [Epoch 2 Batch 3690/12277] loss=0.5032, lr=0.0000150, metrics:accuracy:0.7922
INFO:root:11:16:54 [Epoch 2 Batch 3700/12277] loss=0.5408, lr=0.0000150, metrics:accuracy:0.7921
INFO:root:11:16:56 [Epoch 2 Batch 3710/12277] loss=0.5692, lr=0.0000150, metrics:accuracy:0.7920
INFO:root:11:16:58 [Epoch 2 Batch 3720/12277] loss=0.5257, lr=0.0000150, metrics:accuracy:0.7920
INFO:root:11:16:59 [Epoch 2 Batch 3730/12277] loss=0.6135, lr=0.0000150, metrics:accuracy:0.7919
INFO:root:11:17:01 [Epoch 2 Batch 3740/12277] loss=0.5165, lr=0.0000150, metrics:accuracy:0.7920
INFO:root:11:17:03 [Epoch 2 Batch 3750/12277] loss=0.6038, lr=0.0000150, metrics:accuracy:0.7919
INFO:root:11:17:05 [Epoch 2 Batch 3760/12277] loss=0.5215, lr=0.0000150, metrics:accuracy:0.7918
INFO:root:11:17:07 [Epoch 2 Batch 3770/12277] loss=0.5650, lr=0.0000150, metrics:accuracy:0.7918
INFO:root:11:17:08 [Epoch 2 Batch 3780/12277] loss=0.5406, lr=0.0000150, metrics:accuracy:0.7917
INFO:root:11:17:10 [Epoch 2 Batch 3790/12277] loss=0.5384, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:11 [Epoch 2 Batch 3800/12277] loss=0.5452, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:13 [Epoch 2 Batch 3810/12277] loss=0.5420, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:15 [Epoch 2 Batch 3820/12277] loss=0.5413, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:16 [Epoch 2 Batch 3830/12277] loss=0.5630, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:18 [Epoch 2 Batch 3840/12277] loss=0.5194, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:19 [Epoch 2 Batch 3850/12277] loss=0.5733, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:21 [Epoch 2 Batch 3860/12277] loss=0.5364, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:23 [Epoch 2 Batch 3870/12277] loss=0.5554, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:24 [Epoch 2 Batch 3880/12277] loss=0.5186, lr=0.0000149, metrics:accuracy:0.7914
INFO:root:11:17:26 [Epoch 2 Batch 3890/12277] loss=0.5238, lr=0.0000149, metrics:accuracy:0.7914
INFO:root:11:17:27 [Epoch 2 Batch 3900/12277] loss=0.4765, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:29 [Epoch 2 Batch 3910/12277] loss=0.5662, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:31 [Epoch 2 Batch 3920/12277] loss=0.5208, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:32 [Epoch 2 Batch 3930/12277] loss=0.5099, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:34 [Epoch 2 Batch 3940/12277] loss=0.5156, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:36 [Epoch 2 Batch 3950/12277] loss=0.5128, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:38 [Epoch 2 Batch 3960/12277] loss=0.5231, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:39 [Epoch 2 Batch 3970/12277] loss=0.5379, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:41 [Epoch 2 Batch 3980/12277] loss=0.6213, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:42 [Epoch 2 Batch 3990/12277] loss=0.4439, lr=0.0000149, metrics:accuracy:0.7916
INFO:root:11:17:44 [Epoch 2 Batch 4000/12277] loss=0.5605, lr=0.0000149, metrics:accuracy:0.7915
INFO:root:11:17:45 [Epoch 2 Batch 4010/12277] loss=0.4975, lr=0.0000148, metrics:accuracy:0.7915
INFO:root:11:17:48 [Epoch 2 Batch 4020/12277] loss=0.5109, lr=0.0000148, metrics:accuracy:0.7916
INFO:root:11:17:49 [Epoch 2 Batch 4030/12277] loss=0.4925, lr=0.0000148, metrics:accuracy:0.7916
INFO:root:11:17:51 [Epoch 2 Batch 4040/12277] loss=0.5279, lr=0.0000148, metrics:accuracy:0.7917
INFO:root:11:17:53 [Epoch 2 Batch 4050/12277] loss=0.5052, lr=0.0000148, metrics:accuracy:0.7917
INFO:root:11:17:54 [Epoch 2 Batch 4060/12277] loss=0.5696, lr=0.0000148, metrics:accuracy:0.7916
INFO:root:11:17:56 [Epoch 2 Batch 4070/12277] loss=0.4491, lr=0.0000148, metrics:accuracy:0.7917
INFO:root:11:17:58 [Epoch 2 Batch 4080/12277] loss=0.6033, lr=0.0000148, metrics:accuracy:0.7917
INFO:root:11:17:59 [Epoch 2 Batch 4090/12277] loss=0.4713, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:01 [Epoch 2 Batch 4100/12277] loss=0.5461, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:02 [Epoch 2 Batch 4110/12277] loss=0.5080, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:04 [Epoch 2 Batch 4120/12277] loss=0.4913, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:06 [Epoch 2 Batch 4130/12277] loss=0.4799, lr=0.0000148, metrics:accuracy:0.7919
INFO:root:11:18:07 [Epoch 2 Batch 4140/12277] loss=0.6170, lr=0.0000148, metrics:accuracy:0.7919
INFO:root:11:18:09 [Epoch 2 Batch 4150/12277] loss=0.5330, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:11 [Epoch 2 Batch 4160/12277] loss=0.4970, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:12 [Epoch 2 Batch 4170/12277] loss=0.5150, lr=0.0000148, metrics:accuracy:0.7918
INFO:root:11:18:14 [Epoch 2 Batch 4180/12277] loss=0.5527, lr=0.0000148, metrics:accuracy:0.7919
INFO:root:11:18:15 [Epoch 2 Batch 4190/12277] loss=0.4635, lr=0.0000148, metrics:accuracy:0.7919
INFO:root:11:18:17 [Epoch 2 Batch 4200/12277] loss=0.5106, lr=0.0000148, metrics:accuracy:0.7919
INFO:root:11:18:18 [Epoch 2 Batch 4210/12277] loss=0.4297, lr=0.0000148, metrics:accuracy:0.7920
INFO:root:11:18:20 [Epoch 2 Batch 4220/12277] loss=0.5009, lr=0.0000148, metrics:accuracy:0.7920
INFO:root:11:18:21 [Epoch 2 Batch 4230/12277] loss=0.5186, lr=0.0000147, metrics:accuracy:0.7920
INFO:root:11:18:23 [Epoch 2 Batch 4240/12277] loss=0.6234, lr=0.0000147, metrics:accuracy:0.7920
INFO:root:11:18:25 [Epoch 2 Batch 4250/12277] loss=0.5492, lr=0.0000147, metrics:accuracy:0.7919
INFO:root:11:18:27 [Epoch 2 Batch 4260/12277] loss=0.4980, lr=0.0000147, metrics:accuracy:0.7920
INFO:root:11:18:28 [Epoch 2 Batch 4270/12277] loss=0.6095, lr=0.0000147, metrics:accuracy:0.7919
INFO:root:11:18:30 [Epoch 2 Batch 4280/12277] loss=0.5804, lr=0.0000147, metrics:accuracy:0.7918
INFO:root:11:18:32 [Epoch 2 Batch 4290/12277] loss=0.4898, lr=0.0000147, metrics:accuracy:0.7919
INFO:root:11:18:33 [Epoch 2 Batch 4300/12277] loss=0.4737, lr=0.0000147, metrics:accuracy:0.7920
INFO:root:11:18:35 [Epoch 2 Batch 4310/12277] loss=0.6198, lr=0.0000147, metrics:accuracy:0.7918
INFO:root:11:18:36 [Epoch 2 Batch 4320/12277] loss=0.5397, lr=0.0000147, metrics:accuracy:0.7918
INFO:root:11:18:38 [Epoch 2 Batch 4330/12277] loss=0.5173, lr=0.0000147, metrics:accuracy:0.7919
INFO:root:11:18:40 [Epoch 2 Batch 4340/12277] loss=0.5626, lr=0.0000147, metrics:accuracy:0.7919
INFO:root:11:18:41 [Epoch 2 Batch 4350/12277] loss=0.5094, lr=0.0000147, metrics:accuracy:0.7918
INFO:root:11:18:43 [Epoch 2 Batch 4360/12277] loss=0.5945, lr=0.0000147, metrics:accuracy:0.7917
INFO:root:11:18:45 [Epoch 2 Batch 4370/12277] loss=0.5335, lr=0.0000147, metrics:accuracy:0.7917
INFO:root:11:18:46 [Epoch 2 Batch 4380/12277] loss=0.5408, lr=0.0000147, metrics:accuracy:0.7917
INFO:root:11:18:48 [Epoch 2 Batch 4390/12277] loss=0.6362, lr=0.0000147, metrics:accuracy:0.7916
INFO:root:11:18:49 [Epoch 2 Batch 4400/12277] loss=0.5680, lr=0.0000147, metrics:accuracy:0.7916
INFO:root:11:18:51 [Epoch 2 Batch 4410/12277] loss=0.5434, lr=0.0000147, metrics:accuracy:0.7916
INFO:root:11:18:53 [Epoch 2 Batch 4420/12277] loss=0.5279, lr=0.0000147, metrics:accuracy:0.7916
INFO:root:11:18:54 [Epoch 2 Batch 4430/12277] loss=0.4890, lr=0.0000147, metrics:accuracy:0.7916
INFO:root:11:18:56 [Epoch 2 Batch 4440/12277] loss=0.4551, lr=0.0000147, metrics:accuracy:0.7917
INFO:root:11:18:58 [Epoch 2 Batch 4450/12277] loss=0.4902, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:00 [Epoch 2 Batch 4460/12277] loss=0.5313, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:01 [Epoch 2 Batch 4470/12277] loss=0.4980, lr=0.0000146, metrics:accuracy:0.7918
INFO:root:11:19:02 [Epoch 2 Batch 4480/12277] loss=0.5726, lr=0.0000146, metrics:accuracy:0.7918
INFO:root:11:19:04 [Epoch 2 Batch 4490/12277] loss=0.5189, lr=0.0000146, metrics:accuracy:0.7918
INFO:root:11:19:06 [Epoch 2 Batch 4500/12277] loss=0.4800, lr=0.0000146, metrics:accuracy:0.7918
INFO:root:11:19:08 [Epoch 2 Batch 4510/12277] loss=0.6186, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:09 [Epoch 2 Batch 4520/12277] loss=0.4233, lr=0.0000146, metrics:accuracy:0.7918
INFO:root:11:19:11 [Epoch 2 Batch 4530/12277] loss=0.5817, lr=0.0000146, metrics:accuracy:0.7918
INFO:root:11:19:13 [Epoch 2 Batch 4540/12277] loss=0.6087, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:14 [Epoch 2 Batch 4550/12277] loss=0.5295, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:15 [Epoch 2 Batch 4560/12277] loss=0.5153, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:18 [Epoch 2 Batch 4570/12277] loss=0.5853, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:19 [Epoch 2 Batch 4580/12277] loss=0.5192, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:21 [Epoch 2 Batch 4590/12277] loss=0.5579, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:23 [Epoch 2 Batch 4600/12277] loss=0.5057, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:24 [Epoch 2 Batch 4610/12277] loss=0.5599, lr=0.0000146, metrics:accuracy:0.7917
INFO:root:11:19:26 [Epoch 2 Batch 4620/12277] loss=0.5836, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:27 [Epoch 2 Batch 4630/12277] loss=0.5166, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:29 [Epoch 2 Batch 4640/12277] loss=0.4745, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:31 [Epoch 2 Batch 4650/12277] loss=0.5574, lr=0.0000146, metrics:accuracy:0.7916
INFO:root:11:19:32 [Epoch 2 Batch 4660/12277] loss=0.6323, lr=0.0000146, metrics:accuracy:0.7915
INFO:root:11:19:34 [Epoch 2 Batch 4670/12277] loss=0.5437, lr=0.0000146, metrics:accuracy:0.7915
INFO:root:11:19:35 [Epoch 2 Batch 4680/12277] loss=0.5371, lr=0.0000145, metrics:accuracy:0.7915
INFO:root:11:19:37 [Epoch 2 Batch 4690/12277] loss=0.5652, lr=0.0000145, metrics:accuracy:0.7915
INFO:root:11:19:38 [Epoch 2 Batch 4700/12277] loss=0.4902, lr=0.0000145, metrics:accuracy:0.7915
INFO:root:11:19:40 [Epoch 2 Batch 4710/12277] loss=0.5568, lr=0.0000145, metrics:accuracy:0.7914
INFO:root:11:19:41 [Epoch 2 Batch 4720/12277] loss=0.5347, lr=0.0000145, metrics:accuracy:0.7914
INFO:root:11:19:43 [Epoch 2 Batch 4730/12277] loss=0.5446, lr=0.0000145, metrics:accuracy:0.7914
INFO:root:11:19:44 [Epoch 2 Batch 4740/12277] loss=0.5293, lr=0.0000145, metrics:accuracy:0.7914
INFO:root:11:19:46 [Epoch 2 Batch 4750/12277] loss=0.6084, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:48 [Epoch 2 Batch 4760/12277] loss=0.5706, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:49 [Epoch 2 Batch 4770/12277] loss=0.4944, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:51 [Epoch 2 Batch 4780/12277] loss=0.5065, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:53 [Epoch 2 Batch 4790/12277] loss=0.5393, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:54 [Epoch 2 Batch 4800/12277] loss=0.5896, lr=0.0000145, metrics:accuracy:0.7912
INFO:root:11:19:56 [Epoch 2 Batch 4810/12277] loss=0.4375, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:57 [Epoch 2 Batch 4820/12277] loss=0.5018, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:19:59 [Epoch 2 Batch 4830/12277] loss=0.5634, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:01 [Epoch 2 Batch 4840/12277] loss=0.4984, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:03 [Epoch 2 Batch 4850/12277] loss=0.5254, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:04 [Epoch 2 Batch 4860/12277] loss=0.5449, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:06 [Epoch 2 Batch 4870/12277] loss=0.5666, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:08 [Epoch 2 Batch 4880/12277] loss=0.5365, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:09 [Epoch 2 Batch 4890/12277] loss=0.5124, lr=0.0000145, metrics:accuracy:0.7913
INFO:root:11:20:11 [Epoch 2 Batch 4900/12277] loss=0.4937, lr=0.0000144, metrics:accuracy:0.7913
INFO:root:11:20:13 [Epoch 2 Batch 4910/12277] loss=0.5857, lr=0.0000144, metrics:accuracy:0.7913
INFO:root:11:20:15 [Epoch 2 Batch 4920/12277] loss=0.4794, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:16 [Epoch 2 Batch 4930/12277] loss=0.4532, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:18 [Epoch 2 Batch 4940/12277] loss=0.4991, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:19 [Epoch 2 Batch 4950/12277] loss=0.5166, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:21 [Epoch 2 Batch 4960/12277] loss=0.5843, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:22 [Epoch 2 Batch 4970/12277] loss=0.5121, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:24 [Epoch 2 Batch 4980/12277] loss=0.4872, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:25 [Epoch 2 Batch 4990/12277] loss=0.5206, lr=0.0000144, metrics:accuracy:0.7915
INFO:root:11:20:27 [Epoch 2 Batch 5000/12277] loss=0.5712, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:28 [Epoch 2 Batch 5010/12277] loss=0.5479, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:30 [Epoch 2 Batch 5020/12277] loss=0.4934, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:32 [Epoch 2 Batch 5030/12277] loss=0.5666, lr=0.0000144, metrics:accuracy:0.7914
INFO:root:11:20:34 [Epoch 2 Batch 5040/12277] loss=0.4269, lr=0.0000144, metrics:accuracy:0.7915
INFO:root:11:20:35 [Epoch 2 Batch 5050/12277] loss=0.5446, lr=0.0000144, metrics:accuracy:0.7915
INFO:root:11:20:37 [Epoch 2 Batch 5060/12277] loss=0.5072, lr=0.0000144, metrics:accuracy:0.7915
INFO:root:11:20:38 [Epoch 2 Batch 5070/12277] loss=0.5159, lr=0.0000144, metrics:accuracy:0.7915
INFO:root:11:20:40 [Epoch 2 Batch 5080/12277] loss=0.5177, lr=0.0000144, metrics:accuracy:0.7915
INFO:root:11:20:41 [Epoch 2 Batch 5090/12277] loss=0.5062, lr=0.0000144, metrics:accuracy:0.7916
INFO:root:11:20:43 [Epoch 2 Batch 5100/12277] loss=0.5388, lr=0.0000144, metrics:accuracy:0.7916
INFO:root:11:20:45 [Epoch 2 Batch 5110/12277] loss=0.4974, lr=0.0000144, metrics:accuracy:0.7916
INFO:root:11:20:46 [Epoch 2 Batch 5120/12277] loss=0.5538, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:48 [Epoch 2 Batch 5130/12277] loss=0.5379, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:49 [Epoch 2 Batch 5140/12277] loss=0.5432, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:51 [Epoch 2 Batch 5150/12277] loss=0.5144, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:53 [Epoch 2 Batch 5160/12277] loss=0.4905, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:54 [Epoch 2 Batch 5170/12277] loss=0.5644, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:56 [Epoch 2 Batch 5180/12277] loss=0.4357, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:20:58 [Epoch 2 Batch 5190/12277] loss=0.6789, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:20:59 [Epoch 2 Batch 5200/12277] loss=0.4458, lr=0.0000143, metrics:accuracy:0.7916
INFO:root:11:21:01 [Epoch 2 Batch 5210/12277] loss=0.4471, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:02 [Epoch 2 Batch 5220/12277] loss=0.4716, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:04 [Epoch 2 Batch 5230/12277] loss=0.5097, lr=0.0000143, metrics:accuracy:0.7918
INFO:root:11:21:05 [Epoch 2 Batch 5240/12277] loss=0.5424, lr=0.0000143, metrics:accuracy:0.7918
INFO:root:11:21:07 [Epoch 2 Batch 5250/12277] loss=0.4678, lr=0.0000143, metrics:accuracy:0.7918
INFO:root:11:21:09 [Epoch 2 Batch 5260/12277] loss=0.5504, lr=0.0000143, metrics:accuracy:0.7918
INFO:root:11:21:10 [Epoch 2 Batch 5270/12277] loss=0.5181, lr=0.0000143, metrics:accuracy:0.7918
INFO:root:11:21:12 [Epoch 2 Batch 5280/12277] loss=0.5028, lr=0.0000143, metrics:accuracy:0.7918
INFO:root:11:21:14 [Epoch 2 Batch 5290/12277] loss=0.6013, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:16 [Epoch 2 Batch 5300/12277] loss=0.5226, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:17 [Epoch 2 Batch 5310/12277] loss=0.5574, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:18 [Epoch 2 Batch 5320/12277] loss=0.5440, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:20 [Epoch 2 Batch 5330/12277] loss=0.5313, lr=0.0000143, metrics:accuracy:0.7917
INFO:root:11:21:22 [Epoch 2 Batch 5340/12277] loss=0.5672, lr=0.0000142, metrics:accuracy:0.7917
INFO:root:11:21:24 [Epoch 2 Batch 5350/12277] loss=0.4871, lr=0.0000142, metrics:accuracy:0.7917
INFO:root:11:21:26 [Epoch 2 Batch 5360/12277] loss=0.5885, lr=0.0000142, metrics:accuracy:0.7917
INFO:root:11:21:27 [Epoch 2 Batch 5370/12277] loss=0.4805, lr=0.0000142, metrics:accuracy:0.7917
INFO:root:11:21:29 [Epoch 2 Batch 5380/12277] loss=0.6293, lr=0.0000142, metrics:accuracy:0.7917
INFO:root:11:21:31 [Epoch 2 Batch 5390/12277] loss=0.4194, lr=0.0000142, metrics:accuracy:0.7918
INFO:root:11:21:32 [Epoch 2 Batch 5400/12277] loss=0.5124, lr=0.0000142, metrics:accuracy:0.7918
INFO:root:11:21:34 [Epoch 2 Batch 5410/12277] loss=0.5104, lr=0.0000142, metrics:accuracy:0.7918
INFO:root:11:21:36 [Epoch 2 Batch 5420/12277] loss=0.5144, lr=0.0000142, metrics:accuracy:0.7918
INFO:root:11:21:38 [Epoch 2 Batch 5430/12277] loss=0.4820, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:39 [Epoch 2 Batch 5440/12277] loss=0.5135, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:41 [Epoch 2 Batch 5450/12277] loss=0.5974, lr=0.0000142, metrics:accuracy:0.7918
INFO:root:11:21:42 [Epoch 2 Batch 5460/12277] loss=0.4639, lr=0.0000142, metrics:accuracy:0.7918
INFO:root:11:21:44 [Epoch 2 Batch 5470/12277] loss=0.4882, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:45 [Epoch 2 Batch 5480/12277] loss=0.4117, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:47 [Epoch 2 Batch 5490/12277] loss=0.5033, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:49 [Epoch 2 Batch 5500/12277] loss=0.5377, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:50 [Epoch 2 Batch 5510/12277] loss=0.5904, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:51 [Epoch 2 Batch 5520/12277] loss=0.5218, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:53 [Epoch 2 Batch 5530/12277] loss=0.5255, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:55 [Epoch 2 Batch 5540/12277] loss=0.4452, lr=0.0000142, metrics:accuracy:0.7920
INFO:root:11:21:56 [Epoch 2 Batch 5550/12277] loss=0.5791, lr=0.0000142, metrics:accuracy:0.7919
INFO:root:11:21:58 [Epoch 2 Batch 5560/12277] loss=0.5581, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:00 [Epoch 2 Batch 5570/12277] loss=0.5322, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:01 [Epoch 2 Batch 5580/12277] loss=0.5667, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:03 [Epoch 2 Batch 5590/12277] loss=0.5561, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:04 [Epoch 2 Batch 5600/12277] loss=0.5211, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:06 [Epoch 2 Batch 5610/12277] loss=0.5330, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:07 [Epoch 2 Batch 5620/12277] loss=0.5124, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:09 [Epoch 2 Batch 5630/12277] loss=0.5677, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:11 [Epoch 2 Batch 5640/12277] loss=0.5000, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:12 [Epoch 2 Batch 5650/12277] loss=0.5688, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:14 [Epoch 2 Batch 5660/12277] loss=0.4850, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:15 [Epoch 2 Batch 5670/12277] loss=0.5399, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:17 [Epoch 2 Batch 5680/12277] loss=0.4505, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:19 [Epoch 2 Batch 5690/12277] loss=0.5087, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:21 [Epoch 2 Batch 5700/12277] loss=0.5457, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:22 [Epoch 2 Batch 5710/12277] loss=0.4511, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:24 [Epoch 2 Batch 5720/12277] loss=0.6131, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:26 [Epoch 2 Batch 5730/12277] loss=0.5235, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:27 [Epoch 2 Batch 5740/12277] loss=0.4886, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:29 [Epoch 2 Batch 5750/12277] loss=0.5269, lr=0.0000141, metrics:accuracy:0.7919
INFO:root:11:22:31 [Epoch 2 Batch 5760/12277] loss=0.6241, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:32 [Epoch 2 Batch 5770/12277] loss=0.5487, lr=0.0000141, metrics:accuracy:0.7918
INFO:root:11:22:34 [Epoch 2 Batch 5780/12277] loss=0.5411, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:22:35 [Epoch 2 Batch 5790/12277] loss=0.5159, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:22:37 [Epoch 2 Batch 5800/12277] loss=0.5542, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:38 [Epoch 2 Batch 5810/12277] loss=0.6003, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:40 [Epoch 2 Batch 5820/12277] loss=0.6089, lr=0.0000140, metrics:accuracy:0.7916
INFO:root:11:22:42 [Epoch 2 Batch 5830/12277] loss=0.5354, lr=0.0000140, metrics:accuracy:0.7916
INFO:root:11:22:43 [Epoch 2 Batch 5840/12277] loss=0.5545, lr=0.0000140, metrics:accuracy:0.7916
INFO:root:11:22:45 [Epoch 2 Batch 5850/12277] loss=0.5165, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:47 [Epoch 2 Batch 5860/12277] loss=0.5500, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:49 [Epoch 2 Batch 5870/12277] loss=0.5764, lr=0.0000140, metrics:accuracy:0.7916
INFO:root:11:22:50 [Epoch 2 Batch 5880/12277] loss=0.5198, lr=0.0000140, metrics:accuracy:0.7916
INFO:root:11:22:52 [Epoch 2 Batch 5890/12277] loss=0.4984, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:53 [Epoch 2 Batch 5900/12277] loss=0.4465, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:22:55 [Epoch 2 Batch 5910/12277] loss=0.5832, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:56 [Epoch 2 Batch 5920/12277] loss=0.4973, lr=0.0000140, metrics:accuracy:0.7917
INFO:root:11:22:58 [Epoch 2 Batch 5930/12277] loss=0.4551, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:00 [Epoch 2 Batch 5940/12277] loss=0.5334, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:01 [Epoch 2 Batch 5950/12277] loss=0.5137, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:03 [Epoch 2 Batch 5960/12277] loss=0.5845, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:05 [Epoch 2 Batch 5970/12277] loss=0.5346, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:06 [Epoch 2 Batch 5980/12277] loss=0.5020, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:07 [Epoch 2 Batch 5990/12277] loss=0.5520, lr=0.0000140, metrics:accuracy:0.7918
INFO:root:11:23:09 [Epoch 2 Batch 6000/12277] loss=0.5785, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:11 [Epoch 2 Batch 6010/12277] loss=0.5877, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:12 [Epoch 2 Batch 6020/12277] loss=0.4989, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:14 [Epoch 2 Batch 6030/12277] loss=0.5338, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:16 [Epoch 2 Batch 6040/12277] loss=0.5414, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:17 [Epoch 2 Batch 6050/12277] loss=0.4863, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:19 [Epoch 2 Batch 6060/12277] loss=0.4586, lr=0.0000139, metrics:accuracy:0.7919
INFO:root:11:23:21 [Epoch 2 Batch 6070/12277] loss=0.5558, lr=0.0000139, metrics:accuracy:0.7919
INFO:root:11:23:22 [Epoch 2 Batch 6080/12277] loss=0.5409, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:24 [Epoch 2 Batch 6090/12277] loss=0.5342, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:25 [Epoch 2 Batch 6100/12277] loss=0.4895, lr=0.0000139, metrics:accuracy:0.7918
INFO:root:11:23:27 [Epoch 2 Batch 6110/12277] loss=0.5145, lr=0.0000139, metrics:accuracy:0.7919
INFO:root:11:23:28 [Epoch 2 Batch 6120/12277] loss=0.5183, lr=0.0000139, metrics:accuracy:0.7919
INFO:root:11:23:30 [Epoch 2 Batch 6130/12277] loss=0.4223, lr=0.0000139, metrics:accuracy:0.7919
INFO:root:11:23:31 [Epoch 2 Batch 6140/12277] loss=0.4071, lr=0.0000139, metrics:accuracy:0.7920
INFO:root:11:23:33 [Epoch 2 Batch 6150/12277] loss=0.5043, lr=0.0000139, metrics:accuracy:0.7921
INFO:root:11:23:35 [Epoch 2 Batch 6160/12277] loss=0.5288, lr=0.0000139, metrics:accuracy:0.7921
INFO:root:11:23:36 [Epoch 2 Batch 6170/12277] loss=0.5464, lr=0.0000139, metrics:accuracy:0.7921
INFO:root:11:23:38 [Epoch 2 Batch 6180/12277] loss=0.5404, lr=0.0000139, metrics:accuracy:0.7920
INFO:root:11:23:40 [Epoch 2 Batch 6190/12277] loss=0.4962, lr=0.0000139, metrics:accuracy:0.7921
INFO:root:11:23:41 [Epoch 2 Batch 6200/12277] loss=0.5819, lr=0.0000139, metrics:accuracy:0.7921
INFO:root:11:23:43 [Epoch 2 Batch 6210/12277] loss=0.5049, lr=0.0000139, metrics:accuracy:0.7921
INFO:root:11:23:45 [Epoch 2 Batch 6220/12277] loss=0.5814, lr=0.0000138, metrics:accuracy:0.7920
INFO:root:11:23:47 [Epoch 2 Batch 6230/12277] loss=0.4643, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:23:49 [Epoch 2 Batch 6240/12277] loss=0.5128, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:23:50 [Epoch 2 Batch 6250/12277] loss=0.4181, lr=0.0000138, metrics:accuracy:0.7922
INFO:root:11:23:52 [Epoch 2 Batch 6260/12277] loss=0.5326, lr=0.0000138, metrics:accuracy:0.7922
INFO:root:11:23:53 [Epoch 2 Batch 6270/12277] loss=0.4553, lr=0.0000138, metrics:accuracy:0.7922
INFO:root:11:23:55 [Epoch 2 Batch 6280/12277] loss=0.5765, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:23:57 [Epoch 2 Batch 6290/12277] loss=0.4846, lr=0.0000138, metrics:accuracy:0.7922
INFO:root:11:23:59 [Epoch 2 Batch 6300/12277] loss=0.5170, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:00 [Epoch 2 Batch 6310/12277] loss=0.4959, lr=0.0000138, metrics:accuracy:0.7922
INFO:root:11:24:02 [Epoch 2 Batch 6320/12277] loss=0.6209, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:04 [Epoch 2 Batch 6330/12277] loss=0.5123, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:05 [Epoch 2 Batch 6340/12277] loss=0.5979, lr=0.0000138, metrics:accuracy:0.7920
INFO:root:11:24:07 [Epoch 2 Batch 6350/12277] loss=0.4461, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:09 [Epoch 2 Batch 6360/12277] loss=0.5195, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:11 [Epoch 2 Batch 6370/12277] loss=0.5972, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:12 [Epoch 2 Batch 6380/12277] loss=0.5359, lr=0.0000138, metrics:accuracy:0.7920
INFO:root:11:24:14 [Epoch 2 Batch 6390/12277] loss=0.5799, lr=0.0000138, metrics:accuracy:0.7920
INFO:root:11:24:15 [Epoch 2 Batch 6400/12277] loss=0.4560, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:17 [Epoch 2 Batch 6410/12277] loss=0.4938, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:19 [Epoch 2 Batch 6420/12277] loss=0.5751, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:20 [Epoch 2 Batch 6430/12277] loss=0.3974, lr=0.0000138, metrics:accuracy:0.7921
INFO:root:11:24:22 [Epoch 2 Batch 6440/12277] loss=0.5317, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:23 [Epoch 2 Batch 6450/12277] loss=0.5851, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:25 [Epoch 2 Batch 6460/12277] loss=0.5048, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:26 [Epoch 2 Batch 6470/12277] loss=0.5094, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:28 [Epoch 2 Batch 6480/12277] loss=0.5476, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:30 [Epoch 2 Batch 6490/12277] loss=0.5179, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:31 [Epoch 2 Batch 6500/12277] loss=0.4069, lr=0.0000137, metrics:accuracy:0.7922
INFO:root:11:24:33 [Epoch 2 Batch 6510/12277] loss=0.6174, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:35 [Epoch 2 Batch 6520/12277] loss=0.4921, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:36 [Epoch 2 Batch 6530/12277] loss=0.4903, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:38 [Epoch 2 Batch 6540/12277] loss=0.5166, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:40 [Epoch 2 Batch 6550/12277] loss=0.5199, lr=0.0000137, metrics:accuracy:0.7922
INFO:root:11:24:41 [Epoch 2 Batch 6560/12277] loss=0.5391, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:43 [Epoch 2 Batch 6570/12277] loss=0.5150, lr=0.0000137, metrics:accuracy:0.7922
INFO:root:11:24:44 [Epoch 2 Batch 6580/12277] loss=0.5843, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:46 [Epoch 2 Batch 6590/12277] loss=0.5464, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:47 [Epoch 2 Batch 6600/12277] loss=0.4869, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:49 [Epoch 2 Batch 6610/12277] loss=0.5345, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:51 [Epoch 2 Batch 6620/12277] loss=0.4981, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:52 [Epoch 2 Batch 6630/12277] loss=0.5100, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:54 [Epoch 2 Batch 6640/12277] loss=0.6023, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:55 [Epoch 2 Batch 6650/12277] loss=0.4968, lr=0.0000137, metrics:accuracy:0.7921
INFO:root:11:24:57 [Epoch 2 Batch 6660/12277] loss=0.5163, lr=0.0000136, metrics:accuracy:0.7922
INFO:root:11:24:58 [Epoch 2 Batch 6670/12277] loss=0.5346, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:24:59 [Epoch 2 Batch 6680/12277] loss=0.5677, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:25:01 [Epoch 2 Batch 6690/12277] loss=0.5276, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:25:03 [Epoch 2 Batch 6700/12277] loss=0.4358, lr=0.0000136, metrics:accuracy:0.7922
INFO:root:11:25:04 [Epoch 2 Batch 6710/12277] loss=0.5572, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:25:06 [Epoch 2 Batch 6720/12277] loss=0.5237, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:25:08 [Epoch 2 Batch 6730/12277] loss=0.6008, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:25:09 [Epoch 2 Batch 6740/12277] loss=0.5462, lr=0.0000136, metrics:accuracy:0.7921
INFO:root:11:25:11 [Epoch 2 Batch 6750/12277] loss=0.5778, lr=0.0000136, metrics:accuracy:0.7920
INFO:root:11:25:12 [Epoch 2 Batch 6760/12277] loss=0.5780, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:14 [Epoch 2 Batch 6770/12277] loss=0.5566, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:15 [Epoch 2 Batch 6780/12277] loss=0.5570, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:17 [Epoch 2 Batch 6790/12277] loss=0.5140, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:19 [Epoch 2 Batch 6800/12277] loss=0.4716, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:20 [Epoch 2 Batch 6810/12277] loss=0.5772, lr=0.0000136, metrics:accuracy:0.7918
INFO:root:11:25:22 [Epoch 2 Batch 6820/12277] loss=0.4977, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:24 [Epoch 2 Batch 6830/12277] loss=0.4622, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:25 [Epoch 2 Batch 6840/12277] loss=0.5986, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:27 [Epoch 2 Batch 6850/12277] loss=0.5416, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:28 [Epoch 2 Batch 6860/12277] loss=0.5208, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:30 [Epoch 2 Batch 6870/12277] loss=0.5297, lr=0.0000136, metrics:accuracy:0.7919
INFO:root:11:25:31 [Epoch 2 Batch 6880/12277] loss=0.6145, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:33 [Epoch 2 Batch 6890/12277] loss=0.5472, lr=0.0000135, metrics:accuracy:0.7919
INFO:root:11:25:35 [Epoch 2 Batch 6900/12277] loss=0.5259, lr=0.0000135, metrics:accuracy:0.7919
INFO:root:11:25:37 [Epoch 2 Batch 6910/12277] loss=0.4903, lr=0.0000135, metrics:accuracy:0.7919
INFO:root:11:25:38 [Epoch 2 Batch 6920/12277] loss=0.5317, lr=0.0000135, metrics:accuracy:0.7919
INFO:root:11:25:40 [Epoch 2 Batch 6930/12277] loss=0.5543, lr=0.0000135, metrics:accuracy:0.7919
INFO:root:11:25:42 [Epoch 2 Batch 6940/12277] loss=0.5771, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:43 [Epoch 2 Batch 6950/12277] loss=0.5138, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:45 [Epoch 2 Batch 6960/12277] loss=0.5512, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:46 [Epoch 2 Batch 6970/12277] loss=0.5202, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:48 [Epoch 2 Batch 6980/12277] loss=0.5441, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:49 [Epoch 2 Batch 6990/12277] loss=0.4710, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:51 [Epoch 2 Batch 7000/12277] loss=0.5625, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:53 [Epoch 2 Batch 7010/12277] loss=0.5245, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:54 [Epoch 2 Batch 7020/12277] loss=0.4888, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:56 [Epoch 2 Batch 7030/12277] loss=0.5189, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:25:58 [Epoch 2 Batch 7040/12277] loss=0.6101, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:26:00 [Epoch 2 Batch 7050/12277] loss=0.5334, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:26:01 [Epoch 2 Batch 7060/12277] loss=0.5252, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:26:03 [Epoch 2 Batch 7070/12277] loss=0.6603, lr=0.0000135, metrics:accuracy:0.7917
INFO:root:11:26:05 [Epoch 2 Batch 7080/12277] loss=0.4778, lr=0.0000135, metrics:accuracy:0.7917
INFO:root:11:26:07 [Epoch 2 Batch 7090/12277] loss=0.5181, lr=0.0000135, metrics:accuracy:0.7917
INFO:root:11:26:08 [Epoch 2 Batch 7100/12277] loss=0.4394, lr=0.0000135, metrics:accuracy:0.7918
INFO:root:11:26:10 [Epoch 2 Batch 7110/12277] loss=0.5760, lr=0.0000134, metrics:accuracy:0.7917
INFO:root:11:26:11 [Epoch 2 Batch 7120/12277] loss=0.4965, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:13 [Epoch 2 Batch 7130/12277] loss=0.5496, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:14 [Epoch 2 Batch 7140/12277] loss=0.5034, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:16 [Epoch 2 Batch 7150/12277] loss=0.4962, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:18 [Epoch 2 Batch 7160/12277] loss=0.5358, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:19 [Epoch 2 Batch 7170/12277] loss=0.6320, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:21 [Epoch 2 Batch 7180/12277] loss=0.5845, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:23 [Epoch 2 Batch 7190/12277] loss=0.4539, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:25 [Epoch 2 Batch 7200/12277] loss=0.4955, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:26 [Epoch 2 Batch 7210/12277] loss=0.4795, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:28 [Epoch 2 Batch 7220/12277] loss=0.5536, lr=0.0000134, metrics:accuracy:0.7918
INFO:root:11:26:30 [Epoch 2 Batch 7230/12277] loss=0.4953, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:31 [Epoch 2 Batch 7240/12277] loss=0.4600, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:33 [Epoch 2 Batch 7250/12277] loss=0.5439, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:34 [Epoch 2 Batch 7260/12277] loss=0.4876, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:36 [Epoch 2 Batch 7270/12277] loss=0.5327, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:37 [Epoch 2 Batch 7280/12277] loss=0.5502, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:39 [Epoch 2 Batch 7290/12277] loss=0.4940, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:40 [Epoch 2 Batch 7300/12277] loss=0.5268, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:42 [Epoch 2 Batch 7310/12277] loss=0.5086, lr=0.0000134, metrics:accuracy:0.7920
INFO:root:11:26:44 [Epoch 2 Batch 7320/12277] loss=0.5417, lr=0.0000134, metrics:accuracy:0.7919
INFO:root:11:26:45 [Epoch 2 Batch 7330/12277] loss=0.5009, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:47 [Epoch 2 Batch 7340/12277] loss=0.5100, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:48 [Epoch 2 Batch 7350/12277] loss=0.4812, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:50 [Epoch 2 Batch 7360/12277] loss=0.5765, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:52 [Epoch 2 Batch 7370/12277] loss=0.5310, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:53 [Epoch 2 Batch 7380/12277] loss=0.5441, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:55 [Epoch 2 Batch 7390/12277] loss=0.4883, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:57 [Epoch 2 Batch 7400/12277] loss=0.4922, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:26:58 [Epoch 2 Batch 7410/12277] loss=0.5383, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:00 [Epoch 2 Batch 7420/12277] loss=0.5251, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:02 [Epoch 2 Batch 7430/12277] loss=0.4292, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:03 [Epoch 2 Batch 7440/12277] loss=0.5048, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:05 [Epoch 2 Batch 7450/12277] loss=0.5458, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:06 [Epoch 2 Batch 7460/12277] loss=0.6068, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:08 [Epoch 2 Batch 7470/12277] loss=0.5359, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:10 [Epoch 2 Batch 7480/12277] loss=0.4975, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:11 [Epoch 2 Batch 7490/12277] loss=0.5452, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:13 [Epoch 2 Batch 7500/12277] loss=0.4118, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:14 [Epoch 2 Batch 7510/12277] loss=0.4650, lr=0.0000133, metrics:accuracy:0.7921
INFO:root:11:27:16 [Epoch 2 Batch 7520/12277] loss=0.5759, lr=0.0000133, metrics:accuracy:0.7921
INFO:root:11:27:17 [Epoch 2 Batch 7530/12277] loss=0.5264, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:18 [Epoch 2 Batch 7540/12277] loss=0.5566, lr=0.0000133, metrics:accuracy:0.7920
INFO:root:11:27:20 [Epoch 2 Batch 7550/12277] loss=0.5047, lr=0.0000132, metrics:accuracy:0.7920
INFO:root:11:27:21 [Epoch 2 Batch 7560/12277] loss=0.4795, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:23 [Epoch 2 Batch 7570/12277] loss=0.4511, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:25 [Epoch 2 Batch 7580/12277] loss=0.4938, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:27 [Epoch 2 Batch 7590/12277] loss=0.5569, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:29 [Epoch 2 Batch 7600/12277] loss=0.5772, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:30 [Epoch 2 Batch 7610/12277] loss=0.5896, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:32 [Epoch 2 Batch 7620/12277] loss=0.4960, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:33 [Epoch 2 Batch 7630/12277] loss=0.6095, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:35 [Epoch 2 Batch 7640/12277] loss=0.5952, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:37 [Epoch 2 Batch 7650/12277] loss=0.5445, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:38 [Epoch 2 Batch 7660/12277] loss=0.5158, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:40 [Epoch 2 Batch 7670/12277] loss=0.4661, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:42 [Epoch 2 Batch 7680/12277] loss=0.5648, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:44 [Epoch 2 Batch 7690/12277] loss=0.4716, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:45 [Epoch 2 Batch 7700/12277] loss=0.4901, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:47 [Epoch 2 Batch 7710/12277] loss=0.5468, lr=0.0000132, metrics:accuracy:0.7921
INFO:root:11:27:48 [Epoch 2 Batch 7720/12277] loss=0.4834, lr=0.0000132, metrics:accuracy:0.7922
INFO:root:11:27:50 [Epoch 2 Batch 7730/12277] loss=0.4799, lr=0.0000132, metrics:accuracy:0.7922
INFO:root:11:27:51 [Epoch 2 Batch 7740/12277] loss=0.5108, lr=0.0000132, metrics:accuracy:0.7922
INFO:root:11:27:53 [Epoch 2 Batch 7750/12277] loss=0.4981, lr=0.0000132, metrics:accuracy:0.7922
INFO:root:11:27:55 [Epoch 2 Batch 7760/12277] loss=0.4845, lr=0.0000132, metrics:accuracy:0.7922
INFO:root:11:27:56 [Epoch 2 Batch 7770/12277] loss=0.5001, lr=0.0000131, metrics:accuracy:0.7922
INFO:root:11:27:58 [Epoch 2 Batch 7780/12277] loss=0.4337, lr=0.0000131, metrics:accuracy:0.7922
INFO:root:11:28:00 [Epoch 2 Batch 7790/12277] loss=0.5677, lr=0.0000131, metrics:accuracy:0.7922
INFO:root:11:28:01 [Epoch 2 Batch 7800/12277] loss=0.5345, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:03 [Epoch 2 Batch 7810/12277] loss=0.5750, lr=0.0000131, metrics:accuracy:0.7922
INFO:root:11:28:05 [Epoch 2 Batch 7820/12277] loss=0.5063, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:07 [Epoch 2 Batch 7830/12277] loss=0.5167, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:08 [Epoch 2 Batch 7840/12277] loss=0.5421, lr=0.0000131, metrics:accuracy:0.7922
INFO:root:11:28:10 [Epoch 2 Batch 7850/12277] loss=0.5456, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:12 [Epoch 2 Batch 7860/12277] loss=0.5031, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:13 [Epoch 2 Batch 7870/12277] loss=0.4636, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:15 [Epoch 2 Batch 7880/12277] loss=0.4813, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:17 [Epoch 2 Batch 7890/12277] loss=0.4639, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:19 [Epoch 2 Batch 7900/12277] loss=0.5335, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:21 [Epoch 2 Batch 7910/12277] loss=0.5885, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:22 [Epoch 2 Batch 7920/12277] loss=0.4216, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:24 [Epoch 2 Batch 7930/12277] loss=0.5843, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:26 [Epoch 2 Batch 7940/12277] loss=0.5573, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:27 [Epoch 2 Batch 7950/12277] loss=0.5409, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:29 [Epoch 2 Batch 7960/12277] loss=0.4969, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:31 [Epoch 2 Batch 7970/12277] loss=0.5372, lr=0.0000131, metrics:accuracy:0.7923
INFO:root:11:28:33 [Epoch 2 Batch 7980/12277] loss=0.5625, lr=0.0000131, metrics:accuracy:0.7924
INFO:root:11:28:34 [Epoch 2 Batch 7990/12277] loss=0.5267, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:28:36 [Epoch 2 Batch 8000/12277] loss=0.6165, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:38 [Epoch 2 Batch 8010/12277] loss=0.5460, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:40 [Epoch 2 Batch 8020/12277] loss=0.4791, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:41 [Epoch 2 Batch 8030/12277] loss=0.5913, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:43 [Epoch 2 Batch 8040/12277] loss=0.5673, lr=0.0000130, metrics:accuracy:0.7922
INFO:root:11:28:45 [Epoch 2 Batch 8050/12277] loss=0.5489, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:47 [Epoch 2 Batch 8060/12277] loss=0.4880, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:48 [Epoch 2 Batch 8070/12277] loss=0.5178, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:50 [Epoch 2 Batch 8080/12277] loss=0.5039, lr=0.0000130, metrics:accuracy:0.7923
INFO:root:11:28:52 [Epoch 2 Batch 8090/12277] loss=0.4802, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:28:53 [Epoch 2 Batch 8100/12277] loss=0.4778, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:28:55 [Epoch 2 Batch 8110/12277] loss=0.4752, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:28:56 [Epoch 2 Batch 8120/12277] loss=0.5037, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:28:58 [Epoch 2 Batch 8130/12277] loss=0.5364, lr=0.0000130, metrics:accuracy:0.7925
INFO:root:11:28:59 [Epoch 2 Batch 8140/12277] loss=0.5631, lr=0.0000130, metrics:accuracy:0.7925
INFO:root:11:29:01 [Epoch 2 Batch 8150/12277] loss=0.5887, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:29:03 [Epoch 2 Batch 8160/12277] loss=0.5583, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:29:04 [Epoch 2 Batch 8170/12277] loss=0.5366, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:29:06 [Epoch 2 Batch 8180/12277] loss=0.5333, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:29:08 [Epoch 2 Batch 8190/12277] loss=0.5499, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:29:09 [Epoch 2 Batch 8200/12277] loss=0.4934, lr=0.0000130, metrics:accuracy:0.7924
INFO:root:11:29:11 [Epoch 2 Batch 8210/12277] loss=0.4896, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:13 [Epoch 2 Batch 8220/12277] loss=0.5459, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:14 [Epoch 2 Batch 8230/12277] loss=0.4675, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:16 [Epoch 2 Batch 8240/12277] loss=0.4413, lr=0.0000129, metrics:accuracy:0.7926
INFO:root:11:29:18 [Epoch 2 Batch 8250/12277] loss=0.4467, lr=0.0000129, metrics:accuracy:0.7926
INFO:root:11:29:20 [Epoch 2 Batch 8260/12277] loss=0.6693, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:21 [Epoch 2 Batch 8270/12277] loss=0.5142, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:23 [Epoch 2 Batch 8280/12277] loss=0.5196, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:24 [Epoch 2 Batch 8290/12277] loss=0.5543, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:26 [Epoch 2 Batch 8300/12277] loss=0.5168, lr=0.0000129, metrics:accuracy:0.7925
INFO:root:11:29:27 [Epoch 2 Batch 8310/12277] loss=0.4530, lr=0.0000129, metrics:accuracy:0.7926
INFO:root:11:29:29 [Epoch 2 Batch 8320/12277] loss=0.5340, lr=0.0000129, metrics:accuracy:0.7926
INFO:root:11:29:31 [Epoch 2 Batch 8330/12277] loss=0.4932, lr=0.0000129, metrics:accuracy:0.7926
INFO:root:11:29:32 [Epoch 2 Batch 8340/12277] loss=0.4313, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:34 [Epoch 2 Batch 8350/12277] loss=0.5043, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:36 [Epoch 2 Batch 8360/12277] loss=0.5417, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:38 [Epoch 2 Batch 8370/12277] loss=0.4715, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:39 [Epoch 2 Batch 8380/12277] loss=0.5216, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:41 [Epoch 2 Batch 8390/12277] loss=0.6239, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:43 [Epoch 2 Batch 8400/12277] loss=0.5272, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:44 [Epoch 2 Batch 8410/12277] loss=0.5392, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:46 [Epoch 2 Batch 8420/12277] loss=0.5359, lr=0.0000129, metrics:accuracy:0.7927
INFO:root:11:29:48 [Epoch 2 Batch 8430/12277] loss=0.5290, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:29:50 [Epoch 2 Batch 8440/12277] loss=0.5198, lr=0.0000128, metrics:accuracy:0.7926
INFO:root:11:29:51 [Epoch 2 Batch 8450/12277] loss=0.5981, lr=0.0000128, metrics:accuracy:0.7926
INFO:root:11:29:53 [Epoch 2 Batch 8460/12277] loss=0.5049, lr=0.0000128, metrics:accuracy:0.7926
INFO:root:11:29:54 [Epoch 2 Batch 8470/12277] loss=0.4589, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:29:56 [Epoch 2 Batch 8480/12277] loss=0.4285, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:29:57 [Epoch 2 Batch 8490/12277] loss=0.5142, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:29:59 [Epoch 2 Batch 8500/12277] loss=0.5446, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:00 [Epoch 2 Batch 8510/12277] loss=0.4565, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:02 [Epoch 2 Batch 8520/12277] loss=0.5364, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:04 [Epoch 2 Batch 8530/12277] loss=0.4767, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:05 [Epoch 2 Batch 8540/12277] loss=0.5301, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:07 [Epoch 2 Batch 8550/12277] loss=0.5409, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:09 [Epoch 2 Batch 8560/12277] loss=0.5216, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:10 [Epoch 2 Batch 8570/12277] loss=0.5997, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:11 [Epoch 2 Batch 8580/12277] loss=0.5473, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:13 [Epoch 2 Batch 8590/12277] loss=0.4815, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:15 [Epoch 2 Batch 8600/12277] loss=0.5486, lr=0.0000128, metrics:accuracy:0.7927
INFO:root:11:30:16 [Epoch 2 Batch 8610/12277] loss=0.4480, lr=0.0000128, metrics:accuracy:0.7928
INFO:root:11:30:18 [Epoch 2 Batch 8620/12277] loss=0.4984, lr=0.0000128, metrics:accuracy:0.7928
INFO:root:11:30:20 [Epoch 2 Batch 8630/12277] loss=0.5335, lr=0.0000128, metrics:accuracy:0.7928
INFO:root:11:30:21 [Epoch 2 Batch 8640/12277] loss=0.4737, lr=0.0000128, metrics:accuracy:0.7928
INFO:root:11:30:23 [Epoch 2 Batch 8650/12277] loss=0.6105, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:24 [Epoch 2 Batch 8660/12277] loss=0.5228, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:26 [Epoch 2 Batch 8670/12277] loss=0.4413, lr=0.0000127, metrics:accuracy:0.7928
INFO:root:11:30:27 [Epoch 2 Batch 8680/12277] loss=0.6133, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:29 [Epoch 2 Batch 8690/12277] loss=0.5662, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:31 [Epoch 2 Batch 8700/12277] loss=0.4886, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:33 [Epoch 2 Batch 8710/12277] loss=0.4681, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:34 [Epoch 2 Batch 8720/12277] loss=0.5546, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:36 [Epoch 2 Batch 8730/12277] loss=0.5389, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:37 [Epoch 2 Batch 8740/12277] loss=0.5841, lr=0.0000127, metrics:accuracy:0.7927
INFO:root:11:30:39 [Epoch 2 Batch 8750/12277] loss=0.5993, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:40 [Epoch 2 Batch 8760/12277] loss=0.5729, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:42 [Epoch 2 Batch 8770/12277] loss=0.5537, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:43 [Epoch 2 Batch 8780/12277] loss=0.5241, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:45 [Epoch 2 Batch 8790/12277] loss=0.6059, lr=0.0000127, metrics:accuracy:0.7925
INFO:root:11:30:47 [Epoch 2 Batch 8800/12277] loss=0.5300, lr=0.0000127, metrics:accuracy:0.7925
INFO:root:11:30:48 [Epoch 2 Batch 8810/12277] loss=0.5150, lr=0.0000127, metrics:accuracy:0.7925
INFO:root:11:30:50 [Epoch 2 Batch 8820/12277] loss=0.4810, lr=0.0000127, metrics:accuracy:0.7925
INFO:root:11:30:51 [Epoch 2 Batch 8830/12277] loss=0.4483, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:53 [Epoch 2 Batch 8840/12277] loss=0.5170, lr=0.0000127, metrics:accuracy:0.7925
INFO:root:11:30:55 [Epoch 2 Batch 8850/12277] loss=0.4561, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:57 [Epoch 2 Batch 8860/12277] loss=0.4910, lr=0.0000127, metrics:accuracy:0.7926
INFO:root:11:30:58 [Epoch 2 Batch 8870/12277] loss=0.4772, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:00 [Epoch 2 Batch 8880/12277] loss=0.4488, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:02 [Epoch 2 Batch 8890/12277] loss=0.5398, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:04 [Epoch 2 Batch 8900/12277] loss=0.5006, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:06 [Epoch 2 Batch 8910/12277] loss=0.5904, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:08 [Epoch 2 Batch 8920/12277] loss=0.4860, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:09 [Epoch 2 Batch 8930/12277] loss=0.5204, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:11 [Epoch 2 Batch 8940/12277] loss=0.4797, lr=0.0000126, metrics:accuracy:0.7927
INFO:root:11:31:13 [Epoch 2 Batch 8950/12277] loss=0.4827, lr=0.0000126, metrics:accuracy:0.7927
INFO:root:11:31:14 [Epoch 2 Batch 8960/12277] loss=0.5577, lr=0.0000126, metrics:accuracy:0.7927
INFO:root:11:31:16 [Epoch 2 Batch 8970/12277] loss=0.5676, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:17 [Epoch 2 Batch 8980/12277] loss=0.5986, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:19 [Epoch 2 Batch 8990/12277] loss=0.4814, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:21 [Epoch 2 Batch 9000/12277] loss=0.5119, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:23 [Epoch 2 Batch 9010/12277] loss=0.5132, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:24 [Epoch 2 Batch 9020/12277] loss=0.5531, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:26 [Epoch 2 Batch 9030/12277] loss=0.4821, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:28 [Epoch 2 Batch 9040/12277] loss=0.4906, lr=0.0000126, metrics:accuracy:0.7927
INFO:root:11:31:30 [Epoch 2 Batch 9050/12277] loss=0.4781, lr=0.0000126, metrics:accuracy:0.7927
INFO:root:11:31:31 [Epoch 2 Batch 9060/12277] loss=0.5300, lr=0.0000126, metrics:accuracy:0.7927
INFO:root:11:31:33 [Epoch 2 Batch 9070/12277] loss=0.6062, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:35 [Epoch 2 Batch 9080/12277] loss=0.5533, lr=0.0000126, metrics:accuracy:0.7926
INFO:root:11:31:37 [Epoch 2 Batch 9090/12277] loss=0.5259, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:38 [Epoch 2 Batch 9100/12277] loss=0.4413, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:40 [Epoch 2 Batch 9110/12277] loss=0.5882, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:41 [Epoch 2 Batch 9120/12277] loss=0.5716, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:43 [Epoch 2 Batch 9130/12277] loss=0.5231, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:45 [Epoch 2 Batch 9140/12277] loss=0.4714, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:47 [Epoch 2 Batch 9150/12277] loss=0.5599, lr=0.0000125, metrics:accuracy:0.7926
INFO:root:11:31:48 [Epoch 2 Batch 9160/12277] loss=0.4806, lr=0.0000125, metrics:accuracy:0.7927
INFO:root:11:31:50 [Epoch 2 Batch 9170/12277] loss=0.5154, lr=0.0000125, metrics:accuracy:0.7927
INFO:root:11:31:52 [Epoch 2 Batch 9180/12277] loss=0.5317, lr=0.0000125, metrics:accuracy:0.7927
INFO:root:11:31:53 [Epoch 2 Batch 9190/12277] loss=0.4166, lr=0.0000125, metrics:accuracy:0.7927
INFO:root:11:31:55 [Epoch 2 Batch 9200/12277] loss=0.5335, lr=0.0000125, metrics:accuracy:0.7927
INFO:root:11:31:56 [Epoch 2 Batch 9210/12277] loss=0.5413, lr=0.0000125, metrics:accuracy:0.7927
INFO:root:11:31:58 [Epoch 2 Batch 9220/12277] loss=0.5172, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:31:59 [Epoch 2 Batch 9230/12277] loss=0.4702, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:01 [Epoch 2 Batch 9240/12277] loss=0.4639, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:03 [Epoch 2 Batch 9250/12277] loss=0.4494, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:04 [Epoch 2 Batch 9260/12277] loss=0.5288, lr=0.0000125, metrics:accuracy:0.7929
INFO:root:11:32:06 [Epoch 2 Batch 9270/12277] loss=0.5565, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:08 [Epoch 2 Batch 9280/12277] loss=0.5208, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:10 [Epoch 2 Batch 9290/12277] loss=0.5528, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:11 [Epoch 2 Batch 9300/12277] loss=0.4329, lr=0.0000125, metrics:accuracy:0.7928
INFO:root:11:32:13 [Epoch 2 Batch 9310/12277] loss=0.6056, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:14 [Epoch 2 Batch 9320/12277] loss=0.5414, lr=0.0000124, metrics:accuracy:0.7927
INFO:root:11:32:16 [Epoch 2 Batch 9330/12277] loss=0.4809, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:18 [Epoch 2 Batch 9340/12277] loss=0.5100, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:20 [Epoch 2 Batch 9350/12277] loss=0.4593, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:21 [Epoch 2 Batch 9360/12277] loss=0.5541, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:22 [Epoch 2 Batch 9370/12277] loss=0.4962, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:24 [Epoch 2 Batch 9380/12277] loss=0.5605, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:25 [Epoch 2 Batch 9390/12277] loss=0.5670, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:27 [Epoch 2 Batch 9400/12277] loss=0.4794, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:29 [Epoch 2 Batch 9410/12277] loss=0.4871, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:30 [Epoch 2 Batch 9420/12277] loss=0.4887, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:32 [Epoch 2 Batch 9430/12277] loss=0.5372, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:33 [Epoch 2 Batch 9440/12277] loss=0.4996, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:35 [Epoch 2 Batch 9450/12277] loss=0.5386, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:36 [Epoch 2 Batch 9460/12277] loss=0.4931, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:38 [Epoch 2 Batch 9470/12277] loss=0.5161, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:39 [Epoch 2 Batch 9480/12277] loss=0.5187, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:41 [Epoch 2 Batch 9490/12277] loss=0.5208, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:43 [Epoch 2 Batch 9500/12277] loss=0.5475, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:45 [Epoch 2 Batch 9510/12277] loss=0.4783, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:46 [Epoch 2 Batch 9520/12277] loss=0.5190, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:48 [Epoch 2 Batch 9530/12277] loss=0.5525, lr=0.0000124, metrics:accuracy:0.7928
INFO:root:11:32:50 [Epoch 2 Batch 9540/12277] loss=0.5115, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:32:51 [Epoch 2 Batch 9550/12277] loss=0.5359, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:32:53 [Epoch 2 Batch 9560/12277] loss=0.5036, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:32:54 [Epoch 2 Batch 9570/12277] loss=0.4747, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:32:56 [Epoch 2 Batch 9580/12277] loss=0.5181, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:32:58 [Epoch 2 Batch 9590/12277] loss=0.5156, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:32:59 [Epoch 2 Batch 9600/12277] loss=0.5350, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:33:01 [Epoch 2 Batch 9610/12277] loss=0.5255, lr=0.0000123, metrics:accuracy:0.7928
INFO:root:11:33:03 [Epoch 2 Batch 9620/12277] loss=0.4930, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:04 [Epoch 2 Batch 9630/12277] loss=0.5033, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:06 [Epoch 2 Batch 9640/12277] loss=0.5471, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:08 [Epoch 2 Batch 9650/12277] loss=0.4976, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:09 [Epoch 2 Batch 9660/12277] loss=0.5823, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:11 [Epoch 2 Batch 9670/12277] loss=0.4710, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:12 [Epoch 2 Batch 9680/12277] loss=0.5587, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:14 [Epoch 2 Batch 9690/12277] loss=0.5356, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:16 [Epoch 2 Batch 9700/12277] loss=0.5671, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:17 [Epoch 2 Batch 9710/12277] loss=0.5332, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:19 [Epoch 2 Batch 9720/12277] loss=0.5095, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:21 [Epoch 2 Batch 9730/12277] loss=0.5170, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:22 [Epoch 2 Batch 9740/12277] loss=0.5767, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:25 [Epoch 2 Batch 9750/12277] loss=0.4318, lr=0.0000123, metrics:accuracy:0.7929
INFO:root:11:33:27 [Epoch 2 Batch 9760/12277] loss=0.5369, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:28 [Epoch 2 Batch 9770/12277] loss=0.5224, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:30 [Epoch 2 Batch 9780/12277] loss=0.5303, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:31 [Epoch 2 Batch 9790/12277] loss=0.5256, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:33 [Epoch 2 Batch 9800/12277] loss=0.5447, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:34 [Epoch 2 Batch 9810/12277] loss=0.4530, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:36 [Epoch 2 Batch 9820/12277] loss=0.5650, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:38 [Epoch 2 Batch 9830/12277] loss=0.5257, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:40 [Epoch 2 Batch 9840/12277] loss=0.4855, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:41 [Epoch 2 Batch 9850/12277] loss=0.4730, lr=0.0000122, metrics:accuracy:0.7930
INFO:root:11:33:43 [Epoch 2 Batch 9860/12277] loss=0.5510, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:45 [Epoch 2 Batch 9870/12277] loss=0.5803, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:46 [Epoch 2 Batch 9880/12277] loss=0.5609, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:48 [Epoch 2 Batch 9890/12277] loss=0.4899, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:50 [Epoch 2 Batch 9900/12277] loss=0.5738, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:51 [Epoch 2 Batch 9910/12277] loss=0.5457, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:53 [Epoch 2 Batch 9920/12277] loss=0.4359, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:54 [Epoch 2 Batch 9930/12277] loss=0.4753, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:56 [Epoch 2 Batch 9940/12277] loss=0.5066, lr=0.0000122, metrics:accuracy:0.7929
INFO:root:11:33:58 [Epoch 2 Batch 9950/12277] loss=0.4826, lr=0.0000122, metrics:accuracy:0.7930
INFO:root:11:33:59 [Epoch 2 Batch 9960/12277] loss=0.4632, lr=0.0000122, metrics:accuracy:0.7930
INFO:root:11:34:01 [Epoch 2 Batch 9970/12277] loss=0.5104, lr=0.0000122, metrics:accuracy:0.7930
INFO:root:11:34:02 [Epoch 2 Batch 9980/12277] loss=0.4999, lr=0.0000121, metrics:accuracy:0.7930
INFO:root:11:34:04 [Epoch 2 Batch 9990/12277] loss=0.5025, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:05 [Epoch 2 Batch 10000/12277] loss=0.4619, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:07 [Epoch 2 Batch 10010/12277] loss=0.4510, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:08 [Epoch 2 Batch 10020/12277] loss=0.5824, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:10 [Epoch 2 Batch 10030/12277] loss=0.4833, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:11 [Epoch 2 Batch 10040/12277] loss=0.6028, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:14 [Epoch 2 Batch 10050/12277] loss=0.5710, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:15 [Epoch 2 Batch 10060/12277] loss=0.5023, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:16 [Epoch 2 Batch 10070/12277] loss=0.4967, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:18 [Epoch 2 Batch 10080/12277] loss=0.5288, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:20 [Epoch 2 Batch 10090/12277] loss=0.5119, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:22 [Epoch 2 Batch 10100/12277] loss=0.4880, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:24 [Epoch 2 Batch 10110/12277] loss=0.4495, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:26 [Epoch 2 Batch 10120/12277] loss=0.4716, lr=0.0000121, metrics:accuracy:0.7931
INFO:root:11:34:28 [Epoch 2 Batch 10130/12277] loss=0.4376, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:29 [Epoch 2 Batch 10140/12277] loss=0.4933, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:31 [Epoch 2 Batch 10150/12277] loss=0.4884, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:32 [Epoch 2 Batch 10160/12277] loss=0.4702, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:34 [Epoch 2 Batch 10170/12277] loss=0.5088, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:36 [Epoch 2 Batch 10180/12277] loss=0.5259, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:38 [Epoch 2 Batch 10190/12277] loss=0.5276, lr=0.0000121, metrics:accuracy:0.7932
INFO:root:11:34:39 [Epoch 2 Batch 10200/12277] loss=0.5084, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:34:41 [Epoch 2 Batch 10210/12277] loss=0.5658, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:34:42 [Epoch 2 Batch 10220/12277] loss=0.5040, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:34:45 [Epoch 2 Batch 10230/12277] loss=0.5402, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:34:46 [Epoch 2 Batch 10240/12277] loss=0.4799, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:34:48 [Epoch 2 Batch 10250/12277] loss=0.4980, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:34:50 [Epoch 2 Batch 10260/12277] loss=0.5009, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:34:51 [Epoch 2 Batch 10270/12277] loss=0.4679, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:34:53 [Epoch 2 Batch 10280/12277] loss=0.4470, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:34:54 [Epoch 2 Batch 10290/12277] loss=0.6123, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:34:56 [Epoch 2 Batch 10300/12277] loss=0.4045, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:34:57 [Epoch 2 Batch 10310/12277] loss=0.4968, lr=0.0000120, metrics:accuracy:0.7934
INFO:root:11:34:59 [Epoch 2 Batch 10320/12277] loss=0.5883, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:00 [Epoch 2 Batch 10330/12277] loss=0.5393, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:02 [Epoch 2 Batch 10340/12277] loss=0.4935, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:04 [Epoch 2 Batch 10350/12277] loss=0.5333, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:05 [Epoch 2 Batch 10360/12277] loss=0.5804, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:06 [Epoch 2 Batch 10370/12277] loss=0.5653, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:35:08 [Epoch 2 Batch 10380/12277] loss=0.4837, lr=0.0000120, metrics:accuracy:0.7932
INFO:root:11:35:10 [Epoch 2 Batch 10390/12277] loss=0.5213, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:12 [Epoch 2 Batch 10400/12277] loss=0.5154, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:13 [Epoch 2 Batch 10410/12277] loss=0.5010, lr=0.0000120, metrics:accuracy:0.7933
INFO:root:11:35:15 [Epoch 2 Batch 10420/12277] loss=0.5248, lr=0.0000119, metrics:accuracy:0.7933
INFO:root:11:35:17 [Epoch 2 Batch 10430/12277] loss=0.5071, lr=0.0000119, metrics:accuracy:0.7933
INFO:root:11:35:18 [Epoch 2 Batch 10440/12277] loss=0.4375, lr=0.0000119, metrics:accuracy:0.7933
INFO:root:11:35:20 [Epoch 2 Batch 10450/12277] loss=0.5372, lr=0.0000119, metrics:accuracy:0.7933
INFO:root:11:35:21 [Epoch 2 Batch 10460/12277] loss=0.5439, lr=0.0000119, metrics:accuracy:0.7933
INFO:root:11:35:23 [Epoch 2 Batch 10470/12277] loss=0.3883, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:25 [Epoch 2 Batch 10480/12277] loss=0.4628, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:26 [Epoch 2 Batch 10490/12277] loss=0.5303, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:28 [Epoch 2 Batch 10500/12277] loss=0.5324, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:30 [Epoch 2 Batch 10510/12277] loss=0.4816, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:31 [Epoch 2 Batch 10520/12277] loss=0.4948, lr=0.0000119, metrics:accuracy:0.7935
INFO:root:11:35:33 [Epoch 2 Batch 10530/12277] loss=0.4889, lr=0.0000119, metrics:accuracy:0.7935
INFO:root:11:35:35 [Epoch 2 Batch 10540/12277] loss=0.5038, lr=0.0000119, metrics:accuracy:0.7935
INFO:root:11:35:37 [Epoch 2 Batch 10550/12277] loss=0.4551, lr=0.0000119, metrics:accuracy:0.7935
INFO:root:11:35:39 [Epoch 2 Batch 10560/12277] loss=0.5232, lr=0.0000119, metrics:accuracy:0.7935
INFO:root:11:35:40 [Epoch 2 Batch 10570/12277] loss=0.5021, lr=0.0000119, metrics:accuracy:0.7935
INFO:root:11:35:42 [Epoch 2 Batch 10580/12277] loss=0.5563, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:43 [Epoch 2 Batch 10590/12277] loss=0.5055, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:45 [Epoch 2 Batch 10600/12277] loss=0.5116, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:46 [Epoch 2 Batch 10610/12277] loss=0.4907, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:48 [Epoch 2 Batch 10620/12277] loss=0.5493, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:50 [Epoch 2 Batch 10630/12277] loss=0.5129, lr=0.0000119, metrics:accuracy:0.7934
INFO:root:11:35:51 [Epoch 2 Batch 10640/12277] loss=0.4457, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:35:53 [Epoch 2 Batch 10650/12277] loss=0.5315, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:35:54 [Epoch 2 Batch 10660/12277] loss=0.4934, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:35:56 [Epoch 2 Batch 10670/12277] loss=0.4938, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:35:57 [Epoch 2 Batch 10680/12277] loss=0.5136, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:35:59 [Epoch 2 Batch 10690/12277] loss=0.5698, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:00 [Epoch 2 Batch 10700/12277] loss=0.4697, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:02 [Epoch 2 Batch 10710/12277] loss=0.4727, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:04 [Epoch 2 Batch 10720/12277] loss=0.5106, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:05 [Epoch 2 Batch 10730/12277] loss=0.5119, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:07 [Epoch 2 Batch 10740/12277] loss=0.4491, lr=0.0000118, metrics:accuracy:0.7936
INFO:root:11:36:09 [Epoch 2 Batch 10750/12277] loss=0.4980, lr=0.0000118, metrics:accuracy:0.7936
INFO:root:11:36:10 [Epoch 2 Batch 10760/12277] loss=0.5492, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:12 [Epoch 2 Batch 10770/12277] loss=0.5553, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:14 [Epoch 2 Batch 10780/12277] loss=0.5760, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:16 [Epoch 2 Batch 10790/12277] loss=0.5432, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:17 [Epoch 2 Batch 10800/12277] loss=0.5330, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:19 [Epoch 2 Batch 10810/12277] loss=0.5827, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:21 [Epoch 2 Batch 10820/12277] loss=0.5258, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:22 [Epoch 2 Batch 10830/12277] loss=0.4763, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:24 [Epoch 2 Batch 10840/12277] loss=0.5367, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:26 [Epoch 2 Batch 10850/12277] loss=0.4737, lr=0.0000118, metrics:accuracy:0.7935
INFO:root:11:36:28 [Epoch 2 Batch 10860/12277] loss=0.4538, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:29 [Epoch 2 Batch 10870/12277] loss=0.5177, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:31 [Epoch 2 Batch 10880/12277] loss=0.4944, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:33 [Epoch 2 Batch 10890/12277] loss=0.4769, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:34 [Epoch 2 Batch 10900/12277] loss=0.5567, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:36 [Epoch 2 Batch 10910/12277] loss=0.5284, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:38 [Epoch 2 Batch 10920/12277] loss=0.5454, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:40 [Epoch 2 Batch 10930/12277] loss=0.4749, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:42 [Epoch 2 Batch 10940/12277] loss=0.5301, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:43 [Epoch 2 Batch 10950/12277] loss=0.4771, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:45 [Epoch 2 Batch 10960/12277] loss=0.5739, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:36:46 [Epoch 2 Batch 10970/12277] loss=0.4656, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:48 [Epoch 2 Batch 10980/12277] loss=0.5053, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:50 [Epoch 2 Batch 10990/12277] loss=0.4865, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:51 [Epoch 2 Batch 11000/12277] loss=0.5115, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:53 [Epoch 2 Batch 11010/12277] loss=0.4820, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:55 [Epoch 2 Batch 11020/12277] loss=0.5212, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:56 [Epoch 2 Batch 11030/12277] loss=0.5492, lr=0.0000117, metrics:accuracy:0.7936
INFO:root:11:36:58 [Epoch 2 Batch 11040/12277] loss=0.5090, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:37:00 [Epoch 2 Batch 11050/12277] loss=0.4981, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:37:01 [Epoch 2 Batch 11060/12277] loss=0.5788, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:37:03 [Epoch 2 Batch 11070/12277] loss=0.5095, lr=0.0000117, metrics:accuracy:0.7935
INFO:root:11:37:05 [Epoch 2 Batch 11080/12277] loss=0.5755, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:06 [Epoch 2 Batch 11090/12277] loss=0.4823, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:08 [Epoch 2 Batch 11100/12277] loss=0.5362, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:10 [Epoch 2 Batch 11110/12277] loss=0.4859, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:11 [Epoch 2 Batch 11120/12277] loss=0.4889, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:13 [Epoch 2 Batch 11130/12277] loss=0.5648, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:15 [Epoch 2 Batch 11140/12277] loss=0.4960, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:16 [Epoch 2 Batch 11150/12277] loss=0.4853, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:18 [Epoch 2 Batch 11160/12277] loss=0.5132, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:20 [Epoch 2 Batch 11170/12277] loss=0.5326, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:22 [Epoch 2 Batch 11180/12277] loss=0.5232, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:23 [Epoch 2 Batch 11190/12277] loss=0.5380, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:25 [Epoch 2 Batch 11200/12277] loss=0.5160, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:26 [Epoch 2 Batch 11210/12277] loss=0.5203, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:28 [Epoch 2 Batch 11220/12277] loss=0.4680, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:30 [Epoch 2 Batch 11230/12277] loss=0.4792, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:31 [Epoch 2 Batch 11240/12277] loss=0.5954, lr=0.0000116, metrics:accuracy:0.7936
INFO:root:11:37:33 [Epoch 2 Batch 11250/12277] loss=0.6090, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:35 [Epoch 2 Batch 11260/12277] loss=0.5356, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:36 [Epoch 2 Batch 11270/12277] loss=0.5654, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:38 [Epoch 2 Batch 11280/12277] loss=0.5147, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:40 [Epoch 2 Batch 11290/12277] loss=0.4793, lr=0.0000116, metrics:accuracy:0.7935
INFO:root:11:37:42 [Epoch 2 Batch 11300/12277] loss=0.5914, lr=0.0000115, metrics:accuracy:0.7935
INFO:root:11:37:43 [Epoch 2 Batch 11310/12277] loss=0.5343, lr=0.0000115, metrics:accuracy:0.7935
INFO:root:11:37:45 [Epoch 2 Batch 11320/12277] loss=0.5648, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:47 [Epoch 2 Batch 11330/12277] loss=0.5899, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:48 [Epoch 2 Batch 11340/12277] loss=0.5764, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:50 [Epoch 2 Batch 11350/12277] loss=0.5131, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:52 [Epoch 2 Batch 11360/12277] loss=0.4554, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:53 [Epoch 2 Batch 11370/12277] loss=0.5245, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:55 [Epoch 2 Batch 11380/12277] loss=0.6328, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:57 [Epoch 2 Batch 11390/12277] loss=0.4707, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:37:58 [Epoch 2 Batch 11400/12277] loss=0.5702, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:00 [Epoch 2 Batch 11410/12277] loss=0.5500, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:02 [Epoch 2 Batch 11420/12277] loss=0.4447, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:03 [Epoch 2 Batch 11430/12277] loss=0.5022, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:05 [Epoch 2 Batch 11440/12277] loss=0.5138, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:07 [Epoch 2 Batch 11450/12277] loss=0.5832, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:09 [Epoch 2 Batch 11460/12277] loss=0.5417, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:10 [Epoch 2 Batch 11470/12277] loss=0.5021, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:12 [Epoch 2 Batch 11480/12277] loss=0.5613, lr=0.0000115, metrics:accuracy:0.7934
INFO:root:11:38:13 [Epoch 2 Batch 11490/12277] loss=0.5929, lr=0.0000115, metrics:accuracy:0.7933
INFO:root:11:38:15 [Epoch 2 Batch 11500/12277] loss=0.5545, lr=0.0000115, metrics:accuracy:0.7933
INFO:root:11:38:16 [Epoch 2 Batch 11510/12277] loss=0.4624, lr=0.0000115, metrics:accuracy:0.7933
INFO:root:11:38:18 [Epoch 2 Batch 11520/12277] loss=0.5444, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:20 [Epoch 2 Batch 11530/12277] loss=0.5746, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:22 [Epoch 2 Batch 11540/12277] loss=0.5332, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:23 [Epoch 2 Batch 11550/12277] loss=0.4940, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:25 [Epoch 2 Batch 11560/12277] loss=0.5857, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:27 [Epoch 2 Batch 11570/12277] loss=0.4861, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:28 [Epoch 2 Batch 11580/12277] loss=0.4783, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:30 [Epoch 2 Batch 11590/12277] loss=0.5316, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:31 [Epoch 2 Batch 11600/12277] loss=0.4282, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:33 [Epoch 2 Batch 11610/12277] loss=0.4711, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:35 [Epoch 2 Batch 11620/12277] loss=0.5635, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:36 [Epoch 2 Batch 11630/12277] loss=0.5235, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:38 [Epoch 2 Batch 11640/12277] loss=0.4844, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:39 [Epoch 2 Batch 11650/12277] loss=0.5302, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:41 [Epoch 2 Batch 11660/12277] loss=0.4812, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:43 [Epoch 2 Batch 11670/12277] loss=0.4887, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:44 [Epoch 2 Batch 11680/12277] loss=0.5884, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:46 [Epoch 2 Batch 11690/12277] loss=0.5284, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:48 [Epoch 2 Batch 11700/12277] loss=0.4828, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:49 [Epoch 2 Batch 11710/12277] loss=0.5265, lr=0.0000114, metrics:accuracy:0.7933
INFO:root:11:38:51 [Epoch 2 Batch 11720/12277] loss=0.5119, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:52 [Epoch 2 Batch 11730/12277] loss=0.5528, lr=0.0000114, metrics:accuracy:0.7934
INFO:root:11:38:54 [Epoch 2 Batch 11740/12277] loss=0.4466, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:38:56 [Epoch 2 Batch 11750/12277] loss=0.4569, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:38:58 [Epoch 2 Batch 11760/12277] loss=0.4987, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:38:59 [Epoch 2 Batch 11770/12277] loss=0.5079, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:01 [Epoch 2 Batch 11780/12277] loss=0.5358, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:02 [Epoch 2 Batch 11790/12277] loss=0.4997, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:04 [Epoch 2 Batch 11800/12277] loss=0.5261, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:05 [Epoch 2 Batch 11810/12277] loss=0.4990, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:07 [Epoch 2 Batch 11820/12277] loss=0.5384, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:09 [Epoch 2 Batch 11830/12277] loss=0.5175, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:10 [Epoch 2 Batch 11840/12277] loss=0.5221, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:12 [Epoch 2 Batch 11850/12277] loss=0.5685, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:13 [Epoch 2 Batch 11860/12277] loss=0.5256, lr=0.0000113, metrics:accuracy:0.7933
INFO:root:11:39:14 [Epoch 2 Batch 11870/12277] loss=0.4779, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:16 [Epoch 2 Batch 11880/12277] loss=0.4480, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:18 [Epoch 2 Batch 11890/12277] loss=0.5944, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:19 [Epoch 2 Batch 11900/12277] loss=0.5087, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:21 [Epoch 2 Batch 11910/12277] loss=0.5021, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:22 [Epoch 2 Batch 11920/12277] loss=0.5025, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:24 [Epoch 2 Batch 11930/12277] loss=0.4779, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:26 [Epoch 2 Batch 11940/12277] loss=0.5209, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:27 [Epoch 2 Batch 11950/12277] loss=0.5920, lr=0.0000113, metrics:accuracy:0.7934
INFO:root:11:39:29 [Epoch 2 Batch 11960/12277] loss=0.5938, lr=0.0000113, metrics:accuracy:0.7933
INFO:root:11:39:31 [Epoch 2 Batch 11970/12277] loss=0.4757, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:32 [Epoch 2 Batch 11980/12277] loss=0.4858, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:34 [Epoch 2 Batch 11990/12277] loss=0.5343, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:35 [Epoch 2 Batch 12000/12277] loss=0.5604, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:37 [Epoch 2 Batch 12010/12277] loss=0.5217, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:39 [Epoch 2 Batch 12020/12277] loss=0.5168, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:40 [Epoch 2 Batch 12030/12277] loss=0.4621, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:42 [Epoch 2 Batch 12040/12277] loss=0.4786, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:44 [Epoch 2 Batch 12050/12277] loss=0.5505, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:45 [Epoch 2 Batch 12060/12277] loss=0.4642, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:47 [Epoch 2 Batch 12070/12277] loss=0.4965, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:48 [Epoch 2 Batch 12080/12277] loss=0.5346, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:50 [Epoch 2 Batch 12090/12277] loss=0.4725, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:51 [Epoch 2 Batch 12100/12277] loss=0.5099, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:53 [Epoch 2 Batch 12110/12277] loss=0.5693, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:54 [Epoch 2 Batch 12120/12277] loss=0.5533, lr=0.0000112, metrics:accuracy:0.7933
INFO:root:11:39:56 [Epoch 2 Batch 12130/12277] loss=0.4737, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:57 [Epoch 2 Batch 12140/12277] loss=0.4837, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:39:59 [Epoch 2 Batch 12150/12277] loss=0.4591, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:40:01 [Epoch 2 Batch 12160/12277] loss=0.4408, lr=0.0000112, metrics:accuracy:0.7935
INFO:root:11:40:02 [Epoch 2 Batch 12170/12277] loss=0.5165, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:40:04 [Epoch 2 Batch 12180/12277] loss=0.5091, lr=0.0000112, metrics:accuracy:0.7934
INFO:root:11:40:05 [Epoch 2 Batch 12190/12277] loss=0.4561, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:07 [Epoch 2 Batch 12200/12277] loss=0.5735, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:09 [Epoch 2 Batch 12210/12277] loss=0.4655, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:10 [Epoch 2 Batch 12220/12277] loss=0.4744, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:12 [Epoch 2 Batch 12230/12277] loss=0.5360, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:14 [Epoch 2 Batch 12240/12277] loss=0.5159, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:15 [Epoch 2 Batch 12250/12277] loss=0.4934, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:17 [Epoch 2 Batch 12260/12277] loss=0.5650, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:19 [Epoch 2 Batch 12270/12277] loss=0.5584, lr=0.0000111, metrics:accuracy:0.7935
INFO:root:11:40:20 Now we are doing evaluation on dev with gpu(0).
INFO:root:11:40:20 [Batch 10/312] loss=0.4457, metrics:accuracy:0.8750
INFO:root:11:40:20 [Batch 20/312] loss=0.5127, metrics:accuracy:0.8500
INFO:root:11:40:20 [Batch 30/312] loss=0.5860, metrics:accuracy:0.8417
INFO:root:11:40:21 [Batch 40/312] loss=0.5696, metrics:accuracy:0.8187
INFO:root:11:40:21 [Batch 50/312] loss=0.5445, metrics:accuracy:0.8050
INFO:root:11:40:21 [Batch 60/312] loss=0.4599, metrics:accuracy:0.8167
INFO:root:11:40:21 [Batch 70/312] loss=0.5124, metrics:accuracy:0.8143
INFO:root:11:40:21 [Batch 80/312] loss=0.6383, metrics:accuracy:0.8078
INFO:root:11:40:21 [Batch 90/312] loss=0.7181, metrics:accuracy:0.8000
INFO:root:11:40:22 [Batch 100/312] loss=0.5935, metrics:accuracy:0.7950
INFO:root:11:40:22 [Batch 110/312] loss=0.4437, metrics:accuracy:0.7977
INFO:root:11:40:22 [Batch 120/312] loss=0.5980, metrics:accuracy:0.7937
INFO:root:11:40:22 [Batch 130/312] loss=0.5475, metrics:accuracy:0.7923
INFO:root:11:40:22 [Batch 140/312] loss=0.5054, metrics:accuracy:0.7929
INFO:root:11:40:23 [Batch 150/312] loss=0.7926, metrics:accuracy:0.7883
INFO:root:11:40:23 [Batch 160/312] loss=0.4655, metrics:accuracy:0.7891
INFO:root:11:40:23 [Batch 170/312] loss=0.3902, metrics:accuracy:0.7926
INFO:root:11:40:23 [Batch 180/312] loss=0.4250, metrics:accuracy:0.7937
INFO:root:11:40:23 [Batch 190/312] loss=0.6347, metrics:accuracy:0.7921
INFO:root:11:40:24 [Batch 200/312] loss=0.6744, metrics:accuracy:0.7887
INFO:root:11:40:24 [Batch 210/312] loss=0.5505, metrics:accuracy:0.7899
INFO:root:11:40:24 [Batch 220/312] loss=0.4535, metrics:accuracy:0.7909
INFO:root:11:40:24 [Batch 230/312] loss=0.4955, metrics:accuracy:0.7886
INFO:root:11:40:24 [Batch 240/312] loss=0.3761, metrics:accuracy:0.7911
INFO:root:11:40:25 [Batch 250/312] loss=0.4790, metrics:accuracy:0.7905
INFO:root:11:40:25 [Batch 260/312] loss=0.6548, metrics:accuracy:0.7909
INFO:root:11:40:25 [Batch 270/312] loss=0.5257, metrics:accuracy:0.7912
INFO:root:11:40:25 [Batch 280/312] loss=0.5038, metrics:accuracy:0.7911
INFO:root:11:40:25 [Batch 290/312] loss=0.7015, metrics:accuracy:0.7871
INFO:root:11:40:25 [Batch 300/312] loss=0.5766, metrics:accuracy:0.7867
INFO:root:11:40:26 [Batch 310/312] loss=0.5659, metrics:accuracy:0.7839
INFO:root:11:40:26 validation metrics:accuracy:0.7843
INFO:root:11:40:26 Time cost=5.86s, throughput=425.87 samples/s
INFO:root:11:40:26 params saved in: ./output_dir/model_bert_XNLI_1.params
INFO:root:11:40:26 Time cost=2018.03s
INFO:root:11:40:28 [Epoch 3 Batch 10/12277] loss=0.3749, lr=0.0000111, metrics:accuracy:0.8688
INFO:root:11:40:29 [Epoch 3 Batch 20/12277] loss=0.3569, lr=0.0000111, metrics:accuracy:0.8734
INFO:root:11:40:31 [Epoch 3 Batch 30/12277] loss=0.3876, lr=0.0000111, metrics:accuracy:0.8615
INFO:root:11:40:33 [Epoch 3 Batch 40/12277] loss=0.4136, lr=0.0000111, metrics:accuracy:0.8523
INFO:root:11:40:34 [Epoch 3 Batch 50/12277] loss=0.4653, lr=0.0000111, metrics:accuracy:0.8475
INFO:root:11:40:36 [Epoch 3 Batch 60/12277] loss=0.3624, lr=0.0000111, metrics:accuracy:0.8547
INFO:root:11:40:38 [Epoch 3 Batch 70/12277] loss=0.3717, lr=0.0000111, metrics:accuracy:0.8567
INFO:root:11:40:39 [Epoch 3 Batch 80/12277] loss=0.3860, lr=0.0000111, metrics:accuracy:0.8543
INFO:root:11:40:41 [Epoch 3 Batch 90/12277] loss=0.4336, lr=0.0000111, metrics:accuracy:0.8528
INFO:root:11:40:43 [Epoch 3 Batch 100/12277] loss=0.3735, lr=0.0000111, metrics:accuracy:0.8531
INFO:root:11:40:44 [Epoch 3 Batch 110/12277] loss=0.4101, lr=0.0000111, metrics:accuracy:0.8523
INFO:root:11:40:46 [Epoch 3 Batch 120/12277] loss=0.3811, lr=0.0000111, metrics:accuracy:0.8516
INFO:root:11:40:47 [Epoch 3 Batch 130/12277] loss=0.4258, lr=0.0000110, metrics:accuracy:0.8512
INFO:root:11:40:49 [Epoch 3 Batch 140/12277] loss=0.4453, lr=0.0000110, metrics:accuracy:0.8496
INFO:root:11:40:50 [Epoch 3 Batch 150/12277] loss=0.3767, lr=0.0000110, metrics:accuracy:0.8498
INFO:root:11:40:52 [Epoch 3 Batch 160/12277] loss=0.4500, lr=0.0000110, metrics:accuracy:0.8475
INFO:root:11:40:53 [Epoch 3 Batch 170/12277] loss=0.3441, lr=0.0000110, metrics:accuracy:0.8491
INFO:root:11:40:55 [Epoch 3 Batch 180/12277] loss=0.4376, lr=0.0000110, metrics:accuracy:0.8479
INFO:root:11:40:57 [Epoch 3 Batch 190/12277] loss=0.3820, lr=0.0000110, metrics:accuracy:0.8488
INFO:root:11:40:58 [Epoch 3 Batch 200/12277] loss=0.3729, lr=0.0000110, metrics:accuracy:0.8492
INFO:root:11:41:00 [Epoch 3 Batch 210/12277] loss=0.4160, lr=0.0000110, metrics:accuracy:0.8485
INFO:root:11:41:01 [Epoch 3 Batch 220/12277] loss=0.3310, lr=0.0000110, metrics:accuracy:0.8500
INFO:root:11:41:03 [Epoch 3 Batch 230/12277] loss=0.4193, lr=0.0000110, metrics:accuracy:0.8507
INFO:root:11:41:04 [Epoch 3 Batch 240/12277] loss=0.3577, lr=0.0000110, metrics:accuracy:0.8507
INFO:root:11:41:06 [Epoch 3 Batch 250/12277] loss=0.5043, lr=0.0000110, metrics:accuracy:0.8485
INFO:root:11:41:08 [Epoch 3 Batch 260/12277] loss=0.4051, lr=0.0000110, metrics:accuracy:0.8486
INFO:root:11:41:10 [Epoch 3 Batch 270/12277] loss=0.3979, lr=0.0000110, metrics:accuracy:0.8485
INFO:root:11:41:11 [Epoch 3 Batch 280/12277] loss=0.4279, lr=0.0000110, metrics:accuracy:0.8482
INFO:root:11:41:13 [Epoch 3 Batch 290/12277] loss=0.4146, lr=0.0000110, metrics:accuracy:0.8476
INFO:root:11:41:15 [Epoch 3 Batch 300/12277] loss=0.4194, lr=0.0000110, metrics:accuracy:0.8471
INFO:root:11:41:17 [Epoch 3 Batch 310/12277] loss=0.4247, lr=0.0000110, metrics:accuracy:0.8470
INFO:root:11:41:18 [Epoch 3 Batch 320/12277] loss=0.3652, lr=0.0000110, metrics:accuracy:0.8480
INFO:root:11:41:20 [Epoch 3 Batch 330/12277] loss=0.3962, lr=0.0000110, metrics:accuracy:0.8484
INFO:root:11:41:22 [Epoch 3 Batch 340/12277] loss=0.3830, lr=0.0000110, metrics:accuracy:0.8484
INFO:root:11:41:23 [Epoch 3 Batch 350/12277] loss=0.4620, lr=0.0000109, metrics:accuracy:0.8481
INFO:root:11:41:25 [Epoch 3 Batch 360/12277] loss=0.4266, lr=0.0000109, metrics:accuracy:0.8476
INFO:root:11:41:26 [Epoch 3 Batch 370/12277] loss=0.4198, lr=0.0000109, metrics:accuracy:0.8475
INFO:root:11:41:28 [Epoch 3 Batch 380/12277] loss=0.4689, lr=0.0000109, metrics:accuracy:0.8471
INFO:root:11:41:30 [Epoch 3 Batch 390/12277] loss=0.4242, lr=0.0000109, metrics:accuracy:0.8470
INFO:root:11:41:32 [Epoch 3 Batch 400/12277] loss=0.4154, lr=0.0000109, metrics:accuracy:0.8468
INFO:root:11:41:33 [Epoch 3 Batch 410/12277] loss=0.3701, lr=0.0000109, metrics:accuracy:0.8470
INFO:root:11:41:35 [Epoch 3 Batch 420/12277] loss=0.3757, lr=0.0000109, metrics:accuracy:0.8474
INFO:root:11:41:36 [Epoch 3 Batch 430/12277] loss=0.3584, lr=0.0000109, metrics:accuracy:0.8479
INFO:root:11:41:38 [Epoch 3 Batch 440/12277] loss=0.3100, lr=0.0000109, metrics:accuracy:0.8486
INFO:root:11:41:40 [Epoch 3 Batch 450/12277] loss=0.5009, lr=0.0000109, metrics:accuracy:0.8481
INFO:root:11:41:41 [Epoch 3 Batch 460/12277] loss=0.4061, lr=0.0000109, metrics:accuracy:0.8478
INFO:root:11:41:43 [Epoch 3 Batch 470/12277] loss=0.4018, lr=0.0000109, metrics:accuracy:0.8474
INFO:root:11:41:44 [Epoch 3 Batch 480/12277] loss=0.4590, lr=0.0000109, metrics:accuracy:0.8468
INFO:root:11:41:46 [Epoch 3 Batch 490/12277] loss=0.3984, lr=0.0000109, metrics:accuracy:0.8469
INFO:root:11:41:48 [Epoch 3 Batch 500/12277] loss=0.4472, lr=0.0000109, metrics:accuracy:0.8463
INFO:root:11:41:49 [Epoch 3 Batch 510/12277] loss=0.4248, lr=0.0000109, metrics:accuracy:0.8461
INFO:root:11:41:51 [Epoch 3 Batch 520/12277] loss=0.3939, lr=0.0000109, metrics:accuracy:0.8464
INFO:root:11:41:52 [Epoch 3 Batch 530/12277] loss=0.4137, lr=0.0000109, metrics:accuracy:0.8463
INFO:root:11:41:54 [Epoch 3 Batch 540/12277] loss=0.4332, lr=0.0000109, metrics:accuracy:0.8459
INFO:root:11:41:55 [Epoch 3 Batch 550/12277] loss=0.3834, lr=0.0000109, metrics:accuracy:0.8459
INFO:root:11:41:57 [Epoch 3 Batch 560/12277] loss=0.4016, lr=0.0000109, metrics:accuracy:0.8459
INFO:root:11:41:59 [Epoch 3 Batch 570/12277] loss=0.4452, lr=0.0000108, metrics:accuracy:0.8453
INFO:root:11:42:01 [Epoch 3 Batch 580/12277] loss=0.4129, lr=0.0000108, metrics:accuracy:0.8455
INFO:root:11:42:03 [Epoch 3 Batch 590/12277] loss=0.4554, lr=0.0000108, metrics:accuracy:0.8452
INFO:root:11:42:04 [Epoch 3 Batch 600/12277] loss=0.3777, lr=0.0000108, metrics:accuracy:0.8454
INFO:root:11:42:06 [Epoch 3 Batch 610/12277] loss=0.4019, lr=0.0000108, metrics:accuracy:0.8454
INFO:root:11:42:08 [Epoch 3 Batch 620/12277] loss=0.4090, lr=0.0000108, metrics:accuracy:0.8455
INFO:root:11:42:10 [Epoch 3 Batch 630/12277] loss=0.4669, lr=0.0000108, metrics:accuracy:0.8451
INFO:root:11:42:11 [Epoch 3 Batch 640/12277] loss=0.3527, lr=0.0000108, metrics:accuracy:0.8454
INFO:root:11:42:13 [Epoch 3 Batch 650/12277] loss=0.3483, lr=0.0000108, metrics:accuracy:0.8458
INFO:root:11:42:14 [Epoch 3 Batch 660/12277] loss=0.3430, lr=0.0000108, metrics:accuracy:0.8464
INFO:root:11:42:16 [Epoch 3 Batch 670/12277] loss=0.3795, lr=0.0000108, metrics:accuracy:0.8466
INFO:root:11:42:18 [Epoch 3 Batch 680/12277] loss=0.4060, lr=0.0000108, metrics:accuracy:0.8468
INFO:root:11:42:19 [Epoch 3 Batch 690/12277] loss=0.3362, lr=0.0000108, metrics:accuracy:0.8471
INFO:root:11:42:21 [Epoch 3 Batch 700/12277] loss=0.3865, lr=0.0000108, metrics:accuracy:0.8469
INFO:root:11:42:22 [Epoch 3 Batch 710/12277] loss=0.3377, lr=0.0000108, metrics:accuracy:0.8471
INFO:root:11:42:24 [Epoch 3 Batch 720/12277] loss=0.4172, lr=0.0000108, metrics:accuracy:0.8474
INFO:root:11:42:26 [Epoch 3 Batch 730/12277] loss=0.4059, lr=0.0000108, metrics:accuracy:0.8476
INFO:root:11:42:27 [Epoch 3 Batch 740/12277] loss=0.3952, lr=0.0000108, metrics:accuracy:0.8476
INFO:root:11:42:28 [Epoch 3 Batch 750/12277] loss=0.3618, lr=0.0000108, metrics:accuracy:0.8480
INFO:root:11:42:30 [Epoch 3 Batch 760/12277] loss=0.3721, lr=0.0000108, metrics:accuracy:0.8480
INFO:root:11:42:32 [Epoch 3 Batch 770/12277] loss=0.3911, lr=0.0000108, metrics:accuracy:0.8480
INFO:root:11:42:33 [Epoch 3 Batch 780/12277] loss=0.4425, lr=0.0000108, metrics:accuracy:0.8478
INFO:root:11:42:35 [Epoch 3 Batch 790/12277] loss=0.4516, lr=0.0000107, metrics:accuracy:0.8476
INFO:root:11:42:37 [Epoch 3 Batch 800/12277] loss=0.3747, lr=0.0000107, metrics:accuracy:0.8475
INFO:root:11:42:39 [Epoch 3 Batch 810/12277] loss=0.4651, lr=0.0000107, metrics:accuracy:0.8473
INFO:root:11:42:41 [Epoch 3 Batch 820/12277] loss=0.3239, lr=0.0000107, metrics:accuracy:0.8478
INFO:root:11:42:42 [Epoch 3 Batch 830/12277] loss=0.3305, lr=0.0000107, metrics:accuracy:0.8481
INFO:root:11:42:44 [Epoch 3 Batch 840/12277] loss=0.3705, lr=0.0000107, metrics:accuracy:0.8483
INFO:root:11:42:46 [Epoch 3 Batch 850/12277] loss=0.4761, lr=0.0000107, metrics:accuracy:0.8479
INFO:root:11:42:48 [Epoch 3 Batch 860/12277] loss=0.4155, lr=0.0000107, metrics:accuracy:0.8479
INFO:root:11:42:50 [Epoch 3 Batch 870/12277] loss=0.3864, lr=0.0000107, metrics:accuracy:0.8480
INFO:root:11:42:51 [Epoch 3 Batch 880/12277] loss=0.3673, lr=0.0000107, metrics:accuracy:0.8484
INFO:root:11:42:53 [Epoch 3 Batch 890/12277] loss=0.3706, lr=0.0000107, metrics:accuracy:0.8483
INFO:root:11:42:55 [Epoch 3 Batch 900/12277] loss=0.3032, lr=0.0000107, metrics:accuracy:0.8488
INFO:root:11:42:56 [Epoch 3 Batch 910/12277] loss=0.4375, lr=0.0000107, metrics:accuracy:0.8486
INFO:root:11:42:58 [Epoch 3 Batch 920/12277] loss=0.4404, lr=0.0000107, metrics:accuracy:0.8485
INFO:root:11:43:00 [Epoch 3 Batch 930/12277] loss=0.4623, lr=0.0000107, metrics:accuracy:0.8482
INFO:root:11:43:01 [Epoch 3 Batch 940/12277] loss=0.4618, lr=0.0000107, metrics:accuracy:0.8479
INFO:root:11:43:03 [Epoch 3 Batch 950/12277] loss=0.4437, lr=0.0000107, metrics:accuracy:0.8474
INFO:root:11:43:05 [Epoch 3 Batch 960/12277] loss=0.4718, lr=0.0000107, metrics:accuracy:0.8472
INFO:root:11:43:06 [Epoch 3 Batch 970/12277] loss=0.4422, lr=0.0000107, metrics:accuracy:0.8468
INFO:root:11:43:08 [Epoch 3 Batch 980/12277] loss=0.3982, lr=0.0000107, metrics:accuracy:0.8471
INFO:root:11:43:09 [Epoch 3 Batch 990/12277] loss=0.4406, lr=0.0000107, metrics:accuracy:0.8469
INFO:root:11:43:11 [Epoch 3 Batch 1000/12277] loss=0.4235, lr=0.0000107, metrics:accuracy:0.8469
INFO:root:11:43:13 [Epoch 3 Batch 1010/12277] loss=0.3759, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:14 [Epoch 3 Batch 1020/12277] loss=0.3905, lr=0.0000106, metrics:accuracy:0.8472
INFO:root:11:43:16 [Epoch 3 Batch 1030/12277] loss=0.3620, lr=0.0000106, metrics:accuracy:0.8473
INFO:root:11:43:17 [Epoch 3 Batch 1040/12277] loss=0.4232, lr=0.0000106, metrics:accuracy:0.8473
INFO:root:11:43:19 [Epoch 3 Batch 1050/12277] loss=0.4487, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:21 [Epoch 3 Batch 1060/12277] loss=0.3699, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:22 [Epoch 3 Batch 1070/12277] loss=0.4262, lr=0.0000106, metrics:accuracy:0.8472
INFO:root:11:43:24 [Epoch 3 Batch 1080/12277] loss=0.4336, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:26 [Epoch 3 Batch 1090/12277] loss=0.3749, lr=0.0000106, metrics:accuracy:0.8472
INFO:root:11:43:28 [Epoch 3 Batch 1100/12277] loss=0.4524, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:29 [Epoch 3 Batch 1110/12277] loss=0.3941, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:31 [Epoch 3 Batch 1120/12277] loss=0.3937, lr=0.0000106, metrics:accuracy:0.8471
INFO:root:11:43:33 [Epoch 3 Batch 1130/12277] loss=0.4278, lr=0.0000106, metrics:accuracy:0.8469
INFO:root:11:43:34 [Epoch 3 Batch 1140/12277] loss=0.4418, lr=0.0000106, metrics:accuracy:0.8467
INFO:root:11:43:36 [Epoch 3 Batch 1150/12277] loss=0.3820, lr=0.0000106, metrics:accuracy:0.8465
INFO:root:11:43:37 [Epoch 3 Batch 1160/12277] loss=0.3754, lr=0.0000106, metrics:accuracy:0.8464
INFO:root:11:43:39 [Epoch 3 Batch 1170/12277] loss=0.4887, lr=0.0000106, metrics:accuracy:0.8462
INFO:root:11:43:41 [Epoch 3 Batch 1180/12277] loss=0.3903, lr=0.0000106, metrics:accuracy:0.8464
INFO:root:11:43:43 [Epoch 3 Batch 1190/12277] loss=0.3243, lr=0.0000106, metrics:accuracy:0.8468
INFO:root:11:43:44 [Epoch 3 Batch 1200/12277] loss=0.4345, lr=0.0000106, metrics:accuracy:0.8467
INFO:root:11:43:46 [Epoch 3 Batch 1210/12277] loss=0.3982, lr=0.0000106, metrics:accuracy:0.8468
INFO:root:11:43:48 [Epoch 3 Batch 1220/12277] loss=0.4223, lr=0.0000106, metrics:accuracy:0.8468
INFO:root:11:43:49 [Epoch 3 Batch 1230/12277] loss=0.4947, lr=0.0000105, metrics:accuracy:0.8464
INFO:root:11:43:51 [Epoch 3 Batch 1240/12277] loss=0.4316, lr=0.0000105, metrics:accuracy:0.8462
INFO:root:11:43:52 [Epoch 3 Batch 1250/12277] loss=0.4221, lr=0.0000105, metrics:accuracy:0.8461
INFO:root:11:43:54 [Epoch 3 Batch 1260/12277] loss=0.3316, lr=0.0000105, metrics:accuracy:0.8464
INFO:root:11:43:55 [Epoch 3 Batch 1270/12277] loss=0.4028, lr=0.0000105, metrics:accuracy:0.8464
INFO:root:11:43:57 [Epoch 3 Batch 1280/12277] loss=0.3658, lr=0.0000105, metrics:accuracy:0.8466
INFO:root:11:43:58 [Epoch 3 Batch 1290/12277] loss=0.3571, lr=0.0000105, metrics:accuracy:0.8468
INFO:root:11:44:00 [Epoch 3 Batch 1300/12277] loss=0.3829, lr=0.0000105, metrics:accuracy:0.8470
INFO:root:11:44:02 [Epoch 3 Batch 1310/12277] loss=0.4221, lr=0.0000105, metrics:accuracy:0.8470
INFO:root:11:44:03 [Epoch 3 Batch 1320/12277] loss=0.4270, lr=0.0000105, metrics:accuracy:0.8470
INFO:root:11:44:05 [Epoch 3 Batch 1330/12277] loss=0.4062, lr=0.0000105, metrics:accuracy:0.8469
INFO:root:11:44:06 [Epoch 3 Batch 1340/12277] loss=0.4205, lr=0.0000105, metrics:accuracy:0.8469
INFO:root:11:44:08 [Epoch 3 Batch 1350/12277] loss=0.3479, lr=0.0000105, metrics:accuracy:0.8470
INFO:root:11:44:10 [Epoch 3 Batch 1360/12277] loss=0.4038, lr=0.0000105, metrics:accuracy:0.8470
INFO:root:11:44:11 [Epoch 3 Batch 1370/12277] loss=0.3015, lr=0.0000105, metrics:accuracy:0.8473
INFO:root:11:44:12 [Epoch 3 Batch 1380/12277] loss=0.4141, lr=0.0000105, metrics:accuracy:0.8473
INFO:root:11:44:14 [Epoch 3 Batch 1390/12277] loss=0.4186, lr=0.0000105, metrics:accuracy:0.8473
INFO:root:11:44:16 [Epoch 3 Batch 1400/12277] loss=0.4788, lr=0.0000105, metrics:accuracy:0.8469
INFO:root:11:44:17 [Epoch 3 Batch 1410/12277] loss=0.4076, lr=0.0000105, metrics:accuracy:0.8469
INFO:root:11:44:19 [Epoch 3 Batch 1420/12277] loss=0.3796, lr=0.0000105, metrics:accuracy:0.8469
INFO:root:11:44:20 [Epoch 3 Batch 1430/12277] loss=0.3805, lr=0.0000105, metrics:accuracy:0.8471
INFO:root:11:44:22 [Epoch 3 Batch 1440/12277] loss=0.4502, lr=0.0000105, metrics:accuracy:0.8471
INFO:root:11:44:24 [Epoch 3 Batch 1450/12277] loss=0.4446, lr=0.0000105, metrics:accuracy:0.8469
INFO:root:11:44:26 [Epoch 3 Batch 1460/12277] loss=0.4528, lr=0.0000104, metrics:accuracy:0.8468
INFO:root:11:44:27 [Epoch 3 Batch 1470/12277] loss=0.4543, lr=0.0000104, metrics:accuracy:0.8467
INFO:root:11:44:29 [Epoch 3 Batch 1480/12277] loss=0.5079, lr=0.0000104, metrics:accuracy:0.8463
INFO:root:11:44:30 [Epoch 3 Batch 1490/12277] loss=0.3882, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:32 [Epoch 3 Batch 1500/12277] loss=0.3576, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:34 [Epoch 3 Batch 1510/12277] loss=0.4179, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:35 [Epoch 3 Batch 1520/12277] loss=0.4311, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:37 [Epoch 3 Batch 1530/12277] loss=0.4030, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:38 [Epoch 3 Batch 1540/12277] loss=0.4331, lr=0.0000104, metrics:accuracy:0.8463
INFO:root:11:44:40 [Epoch 3 Batch 1550/12277] loss=0.4350, lr=0.0000104, metrics:accuracy:0.8462
INFO:root:11:44:42 [Epoch 3 Batch 1560/12277] loss=0.3735, lr=0.0000104, metrics:accuracy:0.8463
INFO:root:11:44:43 [Epoch 3 Batch 1570/12277] loss=0.3754, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:45 [Epoch 3 Batch 1580/12277] loss=0.3876, lr=0.0000104, metrics:accuracy:0.8465
INFO:root:11:44:46 [Epoch 3 Batch 1590/12277] loss=0.4075, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:48 [Epoch 3 Batch 1600/12277] loss=0.4236, lr=0.0000104, metrics:accuracy:0.8462
INFO:root:11:44:49 [Epoch 3 Batch 1610/12277] loss=0.3879, lr=0.0000104, metrics:accuracy:0.8463
INFO:root:11:44:51 [Epoch 3 Batch 1620/12277] loss=0.4102, lr=0.0000104, metrics:accuracy:0.8463
INFO:root:11:44:53 [Epoch 3 Batch 1630/12277] loss=0.3805, lr=0.0000104, metrics:accuracy:0.8464
INFO:root:11:44:54 [Epoch 3 Batch 1640/12277] loss=0.4206, lr=0.0000104, metrics:accuracy:0.8463
INFO:root:11:44:56 [Epoch 3 Batch 1650/12277] loss=0.4266, lr=0.0000104, metrics:accuracy:0.8461
INFO:root:11:44:57 [Epoch 3 Batch 1660/12277] loss=0.4468, lr=0.0000104, metrics:accuracy:0.8461
INFO:root:11:44:59 [Epoch 3 Batch 1670/12277] loss=0.3860, lr=0.0000104, metrics:accuracy:0.8461
INFO:root:11:45:00 [Epoch 3 Batch 1680/12277] loss=0.4308, lr=0.0000103, metrics:accuracy:0.8460
INFO:root:11:45:02 [Epoch 3 Batch 1690/12277] loss=0.4072, lr=0.0000103, metrics:accuracy:0.8460
INFO:root:11:45:04 [Epoch 3 Batch 1700/12277] loss=0.4319, lr=0.0000103, metrics:accuracy:0.8459
INFO:root:11:45:06 [Epoch 3 Batch 1710/12277] loss=0.4336, lr=0.0000103, metrics:accuracy:0.8459
INFO:root:11:45:08 [Epoch 3 Batch 1720/12277] loss=0.4165, lr=0.0000103, metrics:accuracy:0.8459
INFO:root:11:45:09 [Epoch 3 Batch 1730/12277] loss=0.4601, lr=0.0000103, metrics:accuracy:0.8457
INFO:root:11:45:11 [Epoch 3 Batch 1740/12277] loss=0.4480, lr=0.0000103, metrics:accuracy:0.8454
INFO:root:11:45:13 [Epoch 3 Batch 1750/12277] loss=0.4215, lr=0.0000103, metrics:accuracy:0.8453
INFO:root:11:45:14 [Epoch 3 Batch 1760/12277] loss=0.3942, lr=0.0000103, metrics:accuracy:0.8455
INFO:root:11:45:15 [Epoch 3 Batch 1770/12277] loss=0.3915, lr=0.0000103, metrics:accuracy:0.8454
INFO:root:11:45:17 [Epoch 3 Batch 1780/12277] loss=0.3805, lr=0.0000103, metrics:accuracy:0.8454
INFO:root:11:45:19 [Epoch 3 Batch 1790/12277] loss=0.3838, lr=0.0000103, metrics:accuracy:0.8455
INFO:root:11:45:20 [Epoch 3 Batch 1800/12277] loss=0.4533, lr=0.0000103, metrics:accuracy:0.8454
INFO:root:11:45:22 [Epoch 3 Batch 1810/12277] loss=0.4693, lr=0.0000103, metrics:accuracy:0.8452
INFO:root:11:45:24 [Epoch 3 Batch 1820/12277] loss=0.5422, lr=0.0000103, metrics:accuracy:0.8449
INFO:root:11:45:26 [Epoch 3 Batch 1830/12277] loss=0.4184, lr=0.0000103, metrics:accuracy:0.8449
INFO:root:11:45:27 [Epoch 3 Batch 1840/12277] loss=0.4146, lr=0.0000103, metrics:accuracy:0.8449
INFO:root:11:45:29 [Epoch 3 Batch 1850/12277] loss=0.3546, lr=0.0000103, metrics:accuracy:0.8450
INFO:root:11:45:31 [Epoch 3 Batch 1860/12277] loss=0.4751, lr=0.0000103, metrics:accuracy:0.8448
INFO:root:11:45:32 [Epoch 3 Batch 1870/12277] loss=0.4607, lr=0.0000103, metrics:accuracy:0.8448
INFO:root:11:45:34 [Epoch 3 Batch 1880/12277] loss=0.3932, lr=0.0000103, metrics:accuracy:0.8448
INFO:root:11:45:36 [Epoch 3 Batch 1890/12277] loss=0.3980, lr=0.0000103, metrics:accuracy:0.8447
INFO:root:11:45:38 [Epoch 3 Batch 1900/12277] loss=0.4243, lr=0.0000102, metrics:accuracy:0.8446
INFO:root:11:45:39 [Epoch 3 Batch 1910/12277] loss=0.4187, lr=0.0000102, metrics:accuracy:0.8446
INFO:root:11:45:41 [Epoch 3 Batch 1920/12277] loss=0.4737, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:45:42 [Epoch 3 Batch 1930/12277] loss=0.4774, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:45:44 [Epoch 3 Batch 1940/12277] loss=0.4252, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:45:46 [Epoch 3 Batch 1950/12277] loss=0.3813, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:45:47 [Epoch 3 Batch 1960/12277] loss=0.4148, lr=0.0000102, metrics:accuracy:0.8443
INFO:root:11:45:49 [Epoch 3 Batch 1970/12277] loss=0.3591, lr=0.0000102, metrics:accuracy:0.8445
INFO:root:11:45:51 [Epoch 3 Batch 1980/12277] loss=0.4877, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:45:52 [Epoch 3 Batch 1990/12277] loss=0.3240, lr=0.0000102, metrics:accuracy:0.8447
INFO:root:11:45:54 [Epoch 3 Batch 2000/12277] loss=0.3720, lr=0.0000102, metrics:accuracy:0.8448
INFO:root:11:45:56 [Epoch 3 Batch 2010/12277] loss=0.4076, lr=0.0000102, metrics:accuracy:0.8447
INFO:root:11:45:57 [Epoch 3 Batch 2020/12277] loss=0.3701, lr=0.0000102, metrics:accuracy:0.8446
INFO:root:11:45:59 [Epoch 3 Batch 2030/12277] loss=0.3642, lr=0.0000102, metrics:accuracy:0.8447
INFO:root:11:46:00 [Epoch 3 Batch 2040/12277] loss=0.3846, lr=0.0000102, metrics:accuracy:0.8448
INFO:root:11:46:02 [Epoch 3 Batch 2050/12277] loss=0.5114, lr=0.0000102, metrics:accuracy:0.8445
INFO:root:11:46:03 [Epoch 3 Batch 2060/12277] loss=0.3950, lr=0.0000102, metrics:accuracy:0.8445
INFO:root:11:46:05 [Epoch 3 Batch 2070/12277] loss=0.3816, lr=0.0000102, metrics:accuracy:0.8446
INFO:root:11:46:07 [Epoch 3 Batch 2080/12277] loss=0.4728, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:46:08 [Epoch 3 Batch 2090/12277] loss=0.3873, lr=0.0000102, metrics:accuracy:0.8444
INFO:root:11:46:10 [Epoch 3 Batch 2100/12277] loss=0.4143, lr=0.0000102, metrics:accuracy:0.8443
INFO:root:11:46:12 [Epoch 3 Batch 2110/12277] loss=0.4129, lr=0.0000102, metrics:accuracy:0.8443
INFO:root:11:46:13 [Epoch 3 Batch 2120/12277] loss=0.3745, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:15 [Epoch 3 Batch 2130/12277] loss=0.3712, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:16 [Epoch 3 Batch 2140/12277] loss=0.3377, lr=0.0000101, metrics:accuracy:0.8446
INFO:root:11:46:18 [Epoch 3 Batch 2150/12277] loss=0.3705, lr=0.0000101, metrics:accuracy:0.8447
INFO:root:11:46:20 [Epoch 3 Batch 2160/12277] loss=0.4318, lr=0.0000101, metrics:accuracy:0.8446
INFO:root:11:46:21 [Epoch 3 Batch 2170/12277] loss=0.3005, lr=0.0000101, metrics:accuracy:0.8449
INFO:root:11:46:23 [Epoch 3 Batch 2180/12277] loss=0.4959, lr=0.0000101, metrics:accuracy:0.8447
INFO:root:11:46:24 [Epoch 3 Batch 2190/12277] loss=0.4432, lr=0.0000101, metrics:accuracy:0.8447
INFO:root:11:46:26 [Epoch 3 Batch 2200/12277] loss=0.3932, lr=0.0000101, metrics:accuracy:0.8447
INFO:root:11:46:28 [Epoch 3 Batch 2210/12277] loss=0.4660, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:29 [Epoch 3 Batch 2220/12277] loss=0.3679, lr=0.0000101, metrics:accuracy:0.8446
INFO:root:11:46:30 [Epoch 3 Batch 2230/12277] loss=0.3901, lr=0.0000101, metrics:accuracy:0.8447
INFO:root:11:46:32 [Epoch 3 Batch 2240/12277] loss=0.4625, lr=0.0000101, metrics:accuracy:0.8446
INFO:root:11:46:34 [Epoch 3 Batch 2250/12277] loss=0.4333, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:36 [Epoch 3 Batch 2260/12277] loss=0.4627, lr=0.0000101, metrics:accuracy:0.8444
INFO:root:11:46:37 [Epoch 3 Batch 2270/12277] loss=0.4266, lr=0.0000101, metrics:accuracy:0.8443
INFO:root:11:46:39 [Epoch 3 Batch 2280/12277] loss=0.4019, lr=0.0000101, metrics:accuracy:0.8443
INFO:root:11:46:40 [Epoch 3 Batch 2290/12277] loss=0.3948, lr=0.0000101, metrics:accuracy:0.8444
INFO:root:11:46:42 [Epoch 3 Batch 2300/12277] loss=0.3506, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:44 [Epoch 3 Batch 2310/12277] loss=0.4276, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:45 [Epoch 3 Batch 2320/12277] loss=0.4001, lr=0.0000101, metrics:accuracy:0.8445
INFO:root:11:46:47 [Epoch 3 Batch 2330/12277] loss=0.4655, lr=0.0000101, metrics:accuracy:0.8444
INFO:root:11:46:49 [Epoch 3 Batch 2340/12277] loss=0.3414, lr=0.0000100, metrics:accuracy:0.8445
INFO:root:11:46:50 [Epoch 3 Batch 2350/12277] loss=0.3742, lr=0.0000100, metrics:accuracy:0.8445
INFO:root:11:46:52 [Epoch 3 Batch 2360/12277] loss=0.5023, lr=0.0000100, metrics:accuracy:0.8445
INFO:root:11:46:54 [Epoch 3 Batch 2370/12277] loss=0.4562, lr=0.0000100, metrics:accuracy:0.8444
INFO:root:11:46:56 [Epoch 3 Batch 2380/12277] loss=0.3650, lr=0.0000100, metrics:accuracy:0.8444
INFO:root:11:46:57 [Epoch 3 Batch 2390/12277] loss=0.4204, lr=0.0000100, metrics:accuracy:0.8445
INFO:root:11:46:59 [Epoch 3 Batch 2400/12277] loss=0.3314, lr=0.0000100, metrics:accuracy:0.8446
INFO:root:11:47:01 [Epoch 3 Batch 2410/12277] loss=0.3977, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:02 [Epoch 3 Batch 2420/12277] loss=0.4335, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:04 [Epoch 3 Batch 2430/12277] loss=0.4232, lr=0.0000100, metrics:accuracy:0.8446
INFO:root:11:47:05 [Epoch 3 Batch 2440/12277] loss=0.3483, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:07 [Epoch 3 Batch 2450/12277] loss=0.4274, lr=0.0000100, metrics:accuracy:0.8446
INFO:root:11:47:09 [Epoch 3 Batch 2460/12277] loss=0.3721, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:10 [Epoch 3 Batch 2470/12277] loss=0.4153, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:12 [Epoch 3 Batch 2480/12277] loss=0.4432, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:13 [Epoch 3 Batch 2490/12277] loss=0.3591, lr=0.0000100, metrics:accuracy:0.8448
INFO:root:11:47:15 [Epoch 3 Batch 2500/12277] loss=0.3696, lr=0.0000100, metrics:accuracy:0.8448
INFO:root:11:47:17 [Epoch 3 Batch 2510/12277] loss=0.4724, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:18 [Epoch 3 Batch 2520/12277] loss=0.3113, lr=0.0000100, metrics:accuracy:0.8448
INFO:root:11:47:20 [Epoch 3 Batch 2530/12277] loss=0.4272, lr=0.0000100, metrics:accuracy:0.8448
INFO:root:11:47:21 [Epoch 3 Batch 2540/12277] loss=0.4205, lr=0.0000100, metrics:accuracy:0.8447
INFO:root:11:47:23 [Epoch 3 Batch 2550/12277] loss=0.4632, lr=0.0000100, metrics:accuracy:0.8446
INFO:root:11:47:24 [Epoch 3 Batch 2560/12277] loss=0.4286, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:26 [Epoch 3 Batch 2570/12277] loss=0.4230, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:27 [Epoch 3 Batch 2580/12277] loss=0.4348, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:29 [Epoch 3 Batch 2590/12277] loss=0.4108, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:31 [Epoch 3 Batch 2600/12277] loss=0.4283, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:32 [Epoch 3 Batch 2610/12277] loss=0.4015, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:34 [Epoch 3 Batch 2620/12277] loss=0.4421, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:36 [Epoch 3 Batch 2630/12277] loss=0.3748, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:37 [Epoch 3 Batch 2640/12277] loss=0.4201, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:39 [Epoch 3 Batch 2650/12277] loss=0.4566, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:41 [Epoch 3 Batch 2660/12277] loss=0.3787, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:43 [Epoch 3 Batch 2670/12277] loss=0.4421, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:44 [Epoch 3 Batch 2680/12277] loss=0.4533, lr=0.0000099, metrics:accuracy:0.8444
INFO:root:11:47:46 [Epoch 3 Batch 2690/12277] loss=0.3864, lr=0.0000099, metrics:accuracy:0.8445
INFO:root:11:47:47 [Epoch 3 Batch 2700/12277] loss=0.3235, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:49 [Epoch 3 Batch 2710/12277] loss=0.4139, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:50 [Epoch 3 Batch 2720/12277] loss=0.4032, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:52 [Epoch 3 Batch 2730/12277] loss=0.3969, lr=0.0000099, metrics:accuracy:0.8446
INFO:root:11:47:54 [Epoch 3 Batch 2740/12277] loss=0.4008, lr=0.0000099, metrics:accuracy:0.8447
INFO:root:11:47:56 [Epoch 3 Batch 2750/12277] loss=0.4020, lr=0.0000099, metrics:accuracy:0.8447
INFO:root:11:47:58 [Epoch 3 Batch 2760/12277] loss=0.4277, lr=0.0000099, metrics:accuracy:0.8447
INFO:root:11:47:59 [Epoch 3 Batch 2770/12277] loss=0.3595, lr=0.0000099, metrics:accuracy:0.8448
INFO:root:11:48:01 [Epoch 3 Batch 2780/12277] loss=0.4193, lr=0.0000098, metrics:accuracy:0.8448
INFO:root:11:48:02 [Epoch 3 Batch 2790/12277] loss=0.4715, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:04 [Epoch 3 Batch 2800/12277] loss=0.3824, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:05 [Epoch 3 Batch 2810/12277] loss=0.3868, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:07 [Epoch 3 Batch 2820/12277] loss=0.4250, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:09 [Epoch 3 Batch 2830/12277] loss=0.4237, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:10 [Epoch 3 Batch 2840/12277] loss=0.3886, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:12 [Epoch 3 Batch 2850/12277] loss=0.3938, lr=0.0000098, metrics:accuracy:0.8448
INFO:root:11:48:13 [Epoch 3 Batch 2860/12277] loss=0.4236, lr=0.0000098, metrics:accuracy:0.8448
INFO:root:11:48:15 [Epoch 3 Batch 2870/12277] loss=0.4626, lr=0.0000098, metrics:accuracy:0.8448
INFO:root:11:48:16 [Epoch 3 Batch 2880/12277] loss=0.4182, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:18 [Epoch 3 Batch 2890/12277] loss=0.4676, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:20 [Epoch 3 Batch 2900/12277] loss=0.4060, lr=0.0000098, metrics:accuracy:0.8446
INFO:root:11:48:22 [Epoch 3 Batch 2910/12277] loss=0.3677, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:24 [Epoch 3 Batch 2920/12277] loss=0.4287, lr=0.0000098, metrics:accuracy:0.8447
INFO:root:11:48:25 [Epoch 3 Batch 2930/12277] loss=0.4505, lr=0.0000098, metrics:accuracy:0.8446
INFO:root:11:48:27 [Epoch 3 Batch 2940/12277] loss=0.4580, lr=0.0000098, metrics:accuracy:0.8445
INFO:root:11:48:29 [Epoch 3 Batch 2950/12277] loss=0.4276, lr=0.0000098, metrics:accuracy:0.8445
INFO:root:11:48:30 [Epoch 3 Batch 2960/12277] loss=0.4501, lr=0.0000098, metrics:accuracy:0.8445
INFO:root:11:48:32 [Epoch 3 Batch 2970/12277] loss=0.4203, lr=0.0000098, metrics:accuracy:0.8445
INFO:root:11:48:34 [Epoch 3 Batch 2980/12277] loss=0.4019, lr=0.0000098, metrics:accuracy:0.8445
INFO:root:11:48:35 [Epoch 3 Batch 2990/12277] loss=0.3995, lr=0.0000098, metrics:accuracy:0.8445
INFO:root:11:48:37 [Epoch 3 Batch 3000/12277] loss=0.3428, lr=0.0000097, metrics:accuracy:0.8446
INFO:root:11:48:39 [Epoch 3 Batch 3010/12277] loss=0.3444, lr=0.0000097, metrics:accuracy:0.8447
INFO:root:11:48:41 [Epoch 3 Batch 3020/12277] loss=0.3870, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:48:42 [Epoch 3 Batch 3030/12277] loss=0.4090, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:48:44 [Epoch 3 Batch 3040/12277] loss=0.3967, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:48:46 [Epoch 3 Batch 3050/12277] loss=0.4197, lr=0.0000097, metrics:accuracy:0.8447
INFO:root:11:48:47 [Epoch 3 Batch 3060/12277] loss=0.3927, lr=0.0000097, metrics:accuracy:0.8447
INFO:root:11:48:49 [Epoch 3 Batch 3070/12277] loss=0.3186, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:48:50 [Epoch 3 Batch 3080/12277] loss=0.4308, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:48:52 [Epoch 3 Batch 3090/12277] loss=0.4140, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:48:53 [Epoch 3 Batch 3100/12277] loss=0.3602, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:48:55 [Epoch 3 Batch 3110/12277] loss=0.4378, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:48:56 [Epoch 3 Batch 3120/12277] loss=0.4313, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:48:58 [Epoch 3 Batch 3130/12277] loss=0.4039, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:49:00 [Epoch 3 Batch 3140/12277] loss=0.4167, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:49:01 [Epoch 3 Batch 3150/12277] loss=0.4718, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:49:03 [Epoch 3 Batch 3160/12277] loss=0.3207, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:49:04 [Epoch 3 Batch 3170/12277] loss=0.4124, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:49:06 [Epoch 3 Batch 3180/12277] loss=0.4201, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:49:07 [Epoch 3 Batch 3190/12277] loss=0.4408, lr=0.0000097, metrics:accuracy:0.8449
INFO:root:11:49:09 [Epoch 3 Batch 3200/12277] loss=0.4613, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:49:11 [Epoch 3 Batch 3210/12277] loss=0.4200, lr=0.0000097, metrics:accuracy:0.8448
INFO:root:11:49:12 [Epoch 3 Batch 3220/12277] loss=0.4371, lr=0.0000096, metrics:accuracy:0.8448
INFO:root:11:49:14 [Epoch 3 Batch 3230/12277] loss=0.3901, lr=0.0000096, metrics:accuracy:0.8448
INFO:root:11:49:16 [Epoch 3 Batch 3240/12277] loss=0.3538, lr=0.0000096, metrics:accuracy:0.8449
INFO:root:11:49:17 [Epoch 3 Batch 3250/12277] loss=0.4425, lr=0.0000096, metrics:accuracy:0.8448
INFO:root:11:49:19 [Epoch 3 Batch 3260/12277] loss=0.3919, lr=0.0000096, metrics:accuracy:0.8448
INFO:root:11:49:20 [Epoch 3 Batch 3270/12277] loss=0.3913, lr=0.0000096, metrics:accuracy:0.8448
INFO:root:11:49:22 [Epoch 3 Batch 3280/12277] loss=0.3647, lr=0.0000096, metrics:accuracy:0.8449
INFO:root:11:49:24 [Epoch 3 Batch 3290/12277] loss=0.4161, lr=0.0000096, metrics:accuracy:0.8449
INFO:root:11:49:25 [Epoch 3 Batch 3300/12277] loss=0.5283, lr=0.0000096, metrics:accuracy:0.8447
INFO:root:11:49:27 [Epoch 3 Batch 3310/12277] loss=0.4892, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:29 [Epoch 3 Batch 3320/12277] loss=0.3457, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:31 [Epoch 3 Batch 3330/12277] loss=0.3835, lr=0.0000096, metrics:accuracy:0.8447
INFO:root:11:49:32 [Epoch 3 Batch 3340/12277] loss=0.4048, lr=0.0000096, metrics:accuracy:0.8447
INFO:root:11:49:34 [Epoch 3 Batch 3350/12277] loss=0.4804, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:35 [Epoch 3 Batch 3360/12277] loss=0.3689, lr=0.0000096, metrics:accuracy:0.8447
INFO:root:11:49:37 [Epoch 3 Batch 3370/12277] loss=0.4176, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:39 [Epoch 3 Batch 3380/12277] loss=0.4357, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:41 [Epoch 3 Batch 3390/12277] loss=0.4181, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:42 [Epoch 3 Batch 3400/12277] loss=0.4644, lr=0.0000096, metrics:accuracy:0.8445
INFO:root:11:49:44 [Epoch 3 Batch 3410/12277] loss=0.3975, lr=0.0000096, metrics:accuracy:0.8445
INFO:root:11:49:45 [Epoch 3 Batch 3420/12277] loss=0.3253, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:47 [Epoch 3 Batch 3430/12277] loss=0.4065, lr=0.0000096, metrics:accuracy:0.8446
INFO:root:11:49:48 [Epoch 3 Batch 3440/12277] loss=0.4299, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:49:50 [Epoch 3 Batch 3450/12277] loss=0.4195, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:49:52 [Epoch 3 Batch 3460/12277] loss=0.3155, lr=0.0000095, metrics:accuracy:0.8447
INFO:root:11:49:53 [Epoch 3 Batch 3470/12277] loss=0.4149, lr=0.0000095, metrics:accuracy:0.8447
INFO:root:11:49:55 [Epoch 3 Batch 3480/12277] loss=0.4192, lr=0.0000095, metrics:accuracy:0.8448
INFO:root:11:49:56 [Epoch 3 Batch 3490/12277] loss=0.4375, lr=0.0000095, metrics:accuracy:0.8447
INFO:root:11:49:58 [Epoch 3 Batch 3500/12277] loss=0.5006, lr=0.0000095, metrics:accuracy:0.8447
INFO:root:11:50:00 [Epoch 3 Batch 3510/12277] loss=0.4171, lr=0.0000095, metrics:accuracy:0.8447
INFO:root:11:50:02 [Epoch 3 Batch 3520/12277] loss=0.4966, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:03 [Epoch 3 Batch 3530/12277] loss=0.4002, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:50:04 [Epoch 3 Batch 3540/12277] loss=0.3834, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:50:06 [Epoch 3 Batch 3550/12277] loss=0.4285, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:08 [Epoch 3 Batch 3560/12277] loss=0.4172, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:50:09 [Epoch 3 Batch 3570/12277] loss=0.4466, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:11 [Epoch 3 Batch 3580/12277] loss=0.4862, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:12 [Epoch 3 Batch 3590/12277] loss=0.3071, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:50:14 [Epoch 3 Batch 3600/12277] loss=0.4375, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:16 [Epoch 3 Batch 3610/12277] loss=0.4330, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:17 [Epoch 3 Batch 3620/12277] loss=0.4279, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:19 [Epoch 3 Batch 3630/12277] loss=0.4562, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:20 [Epoch 3 Batch 3640/12277] loss=0.3685, lr=0.0000095, metrics:accuracy:0.8446
INFO:root:11:50:23 [Epoch 3 Batch 3650/12277] loss=0.3957, lr=0.0000095, metrics:accuracy:0.8445
INFO:root:11:50:24 [Epoch 3 Batch 3660/12277] loss=0.3941, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:26 [Epoch 3 Batch 3670/12277] loss=0.3475, lr=0.0000094, metrics:accuracy:0.8447
INFO:root:11:50:27 [Epoch 3 Batch 3680/12277] loss=0.3931, lr=0.0000094, metrics:accuracy:0.8447
INFO:root:11:50:29 [Epoch 3 Batch 3690/12277] loss=0.4512, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:30 [Epoch 3 Batch 3700/12277] loss=0.4122, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:32 [Epoch 3 Batch 3710/12277] loss=0.3534, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:34 [Epoch 3 Batch 3720/12277] loss=0.4490, lr=0.0000094, metrics:accuracy:0.8447
INFO:root:11:50:36 [Epoch 3 Batch 3730/12277] loss=0.4288, lr=0.0000094, metrics:accuracy:0.8447
INFO:root:11:50:38 [Epoch 3 Batch 3740/12277] loss=0.4762, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:39 [Epoch 3 Batch 3750/12277] loss=0.4692, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:41 [Epoch 3 Batch 3760/12277] loss=0.4396, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:43 [Epoch 3 Batch 3770/12277] loss=0.3861, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:44 [Epoch 3 Batch 3780/12277] loss=0.4549, lr=0.0000094, metrics:accuracy:0.8444
INFO:root:11:50:46 [Epoch 3 Batch 3790/12277] loss=0.3521, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:47 [Epoch 3 Batch 3800/12277] loss=0.4097, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:49 [Epoch 3 Batch 3810/12277] loss=0.4162, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:50 [Epoch 3 Batch 3820/12277] loss=0.3738, lr=0.0000094, metrics:accuracy:0.8445
INFO:root:11:50:52 [Epoch 3 Batch 3830/12277] loss=0.3455, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:53 [Epoch 3 Batch 3840/12277] loss=0.4346, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:55 [Epoch 3 Batch 3850/12277] loss=0.4833, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:57 [Epoch 3 Batch 3860/12277] loss=0.4184, lr=0.0000094, metrics:accuracy:0.8446
INFO:root:11:50:59 [Epoch 3 Batch 3870/12277] loss=0.3971, lr=0.0000094, metrics:accuracy:0.8447
INFO:root:11:51:00 [Epoch 3 Batch 3880/12277] loss=0.3304, lr=0.0000094, metrics:accuracy:0.8448
INFO:root:11:51:02 [Epoch 3 Batch 3890/12277] loss=0.4369, lr=0.0000093, metrics:accuracy:0.8448
INFO:root:11:51:03 [Epoch 3 Batch 3900/12277] loss=0.4237, lr=0.0000093, metrics:accuracy:0.8448
INFO:root:11:51:05 [Epoch 3 Batch 3910/12277] loss=0.3734, lr=0.0000093, metrics:accuracy:0.8448
INFO:root:11:51:06 [Epoch 3 Batch 3920/12277] loss=0.4924, lr=0.0000093, metrics:accuracy:0.8447
INFO:root:11:51:08 [Epoch 3 Batch 3930/12277] loss=0.4726, lr=0.0000093, metrics:accuracy:0.8447
INFO:root:11:51:10 [Epoch 3 Batch 3940/12277] loss=0.3976, lr=0.0000093, metrics:accuracy:0.8447
INFO:root:11:51:11 [Epoch 3 Batch 3950/12277] loss=0.4683, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:13 [Epoch 3 Batch 3960/12277] loss=0.4379, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:14 [Epoch 3 Batch 3970/12277] loss=0.3920, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:16 [Epoch 3 Batch 3980/12277] loss=0.3651, lr=0.0000093, metrics:accuracy:0.8447
INFO:root:11:51:18 [Epoch 3 Batch 3990/12277] loss=0.4443, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:20 [Epoch 3 Batch 4000/12277] loss=0.4101, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:21 [Epoch 3 Batch 4010/12277] loss=0.4600, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:23 [Epoch 3 Batch 4020/12277] loss=0.3628, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:24 [Epoch 3 Batch 4030/12277] loss=0.3657, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:26 [Epoch 3 Batch 4040/12277] loss=0.4079, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:28 [Epoch 3 Batch 4050/12277] loss=0.4333, lr=0.0000093, metrics:accuracy:0.8445
INFO:root:11:51:29 [Epoch 3 Batch 4060/12277] loss=0.4241, lr=0.0000093, metrics:accuracy:0.8445
INFO:root:11:51:30 [Epoch 3 Batch 4070/12277] loss=0.4195, lr=0.0000093, metrics:accuracy:0.8445
INFO:root:11:51:32 [Epoch 3 Batch 4080/12277] loss=0.3034, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:34 [Epoch 3 Batch 4090/12277] loss=0.3727, lr=0.0000093, metrics:accuracy:0.8447
INFO:root:11:51:35 [Epoch 3 Batch 4100/12277] loss=0.4871, lr=0.0000093, metrics:accuracy:0.8446
INFO:root:11:51:37 [Epoch 3 Batch 4110/12277] loss=0.3757, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:38 [Epoch 3 Batch 4120/12277] loss=0.4242, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:40 [Epoch 3 Batch 4130/12277] loss=0.3523, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:42 [Epoch 3 Batch 4140/12277] loss=0.4566, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:44 [Epoch 3 Batch 4150/12277] loss=0.3478, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:51:45 [Epoch 3 Batch 4160/12277] loss=0.4794, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:51:47 [Epoch 3 Batch 4170/12277] loss=0.3386, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:51:49 [Epoch 3 Batch 4180/12277] loss=0.4838, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:51 [Epoch 3 Batch 4190/12277] loss=0.4007, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:52 [Epoch 3 Batch 4200/12277] loss=0.4015, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:51:54 [Epoch 3 Batch 4210/12277] loss=0.2777, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:51:55 [Epoch 3 Batch 4220/12277] loss=0.4452, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:51:57 [Epoch 3 Batch 4230/12277] loss=0.4073, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:51:59 [Epoch 3 Batch 4240/12277] loss=0.4437, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:00 [Epoch 3 Batch 4250/12277] loss=0.4225, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:02 [Epoch 3 Batch 4260/12277] loss=0.4000, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:04 [Epoch 3 Batch 4270/12277] loss=0.4164, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:06 [Epoch 3 Batch 4280/12277] loss=0.3689, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:07 [Epoch 3 Batch 4290/12277] loss=0.3674, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:09 [Epoch 3 Batch 4300/12277] loss=0.4677, lr=0.0000092, metrics:accuracy:0.8446
INFO:root:11:52:10 [Epoch 3 Batch 4310/12277] loss=0.4148, lr=0.0000092, metrics:accuracy:0.8447
INFO:root:11:52:12 [Epoch 3 Batch 4320/12277] loss=0.3494, lr=0.0000092, metrics:accuracy:0.8448
INFO:root:11:52:13 [Epoch 3 Batch 4330/12277] loss=0.4696, lr=0.0000091, metrics:accuracy:0.8447
INFO:root:11:52:15 [Epoch 3 Batch 4340/12277] loss=0.4214, lr=0.0000091, metrics:accuracy:0.8447
INFO:root:11:52:16 [Epoch 3 Batch 4350/12277] loss=0.4146, lr=0.0000091, metrics:accuracy:0.8447
INFO:root:11:52:18 [Epoch 3 Batch 4360/12277] loss=0.4422, lr=0.0000091, metrics:accuracy:0.8447
INFO:root:11:52:20 [Epoch 3 Batch 4370/12277] loss=0.4121, lr=0.0000091, metrics:accuracy:0.8447
INFO:root:11:52:22 [Epoch 3 Batch 4380/12277] loss=0.3611, lr=0.0000091, metrics:accuracy:0.8448
INFO:root:11:52:24 [Epoch 3 Batch 4390/12277] loss=0.3861, lr=0.0000091, metrics:accuracy:0.8448
INFO:root:11:52:25 [Epoch 3 Batch 4400/12277] loss=0.3673, lr=0.0000091, metrics:accuracy:0.8448
INFO:root:11:52:27 [Epoch 3 Batch 4410/12277] loss=0.4298, lr=0.0000091, metrics:accuracy:0.8448
INFO:root:11:52:29 [Epoch 3 Batch 4420/12277] loss=0.3944, lr=0.0000091, metrics:accuracy:0.8449
INFO:root:11:52:31 [Epoch 3 Batch 4430/12277] loss=0.3991, lr=0.0000091, metrics:accuracy:0.8449
INFO:root:11:52:32 [Epoch 3 Batch 4440/12277] loss=0.3841, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:34 [Epoch 3 Batch 4450/12277] loss=0.4382, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:36 [Epoch 3 Batch 4460/12277] loss=0.4578, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:38 [Epoch 3 Batch 4470/12277] loss=0.3323, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:40 [Epoch 3 Batch 4480/12277] loss=0.4147, lr=0.0000091, metrics:accuracy:0.8451
INFO:root:11:52:41 [Epoch 3 Batch 4490/12277] loss=0.4528, lr=0.0000091, metrics:accuracy:0.8451
INFO:root:11:52:43 [Epoch 3 Batch 4500/12277] loss=0.4338, lr=0.0000091, metrics:accuracy:0.8451
INFO:root:11:52:44 [Epoch 3 Batch 4510/12277] loss=0.5032, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:46 [Epoch 3 Batch 4520/12277] loss=0.3802, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:48 [Epoch 3 Batch 4530/12277] loss=0.4226, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:49 [Epoch 3 Batch 4540/12277] loss=0.3745, lr=0.0000091, metrics:accuracy:0.8450
INFO:root:11:52:51 [Epoch 3 Batch 4550/12277] loss=0.3445, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:52:52 [Epoch 3 Batch 4560/12277] loss=0.3707, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:52:54 [Epoch 3 Batch 4570/12277] loss=0.4748, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:52:56 [Epoch 3 Batch 4580/12277] loss=0.4653, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:52:57 [Epoch 3 Batch 4590/12277] loss=0.3805, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:52:59 [Epoch 3 Batch 4600/12277] loss=0.3305, lr=0.0000090, metrics:accuracy:0.8452
INFO:root:11:53:00 [Epoch 3 Batch 4610/12277] loss=0.4452, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:01 [Epoch 3 Batch 4620/12277] loss=0.4354, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:03 [Epoch 3 Batch 4630/12277] loss=0.3987, lr=0.0000090, metrics:accuracy:0.8452
INFO:root:11:53:05 [Epoch 3 Batch 4640/12277] loss=0.4481, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:07 [Epoch 3 Batch 4650/12277] loss=0.4089, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:08 [Epoch 3 Batch 4660/12277] loss=0.3976, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:10 [Epoch 3 Batch 4670/12277] loss=0.4455, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:11 [Epoch 3 Batch 4680/12277] loss=0.4245, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:13 [Epoch 3 Batch 4690/12277] loss=0.4221, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:15 [Epoch 3 Batch 4700/12277] loss=0.3630, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:16 [Epoch 3 Batch 4710/12277] loss=0.4282, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:18 [Epoch 3 Batch 4720/12277] loss=0.3766, lr=0.0000090, metrics:accuracy:0.8451
INFO:root:11:53:20 [Epoch 3 Batch 4730/12277] loss=0.4443, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:21 [Epoch 3 Batch 4740/12277] loss=0.4143, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:22 [Epoch 3 Batch 4750/12277] loss=0.4093, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:24 [Epoch 3 Batch 4760/12277] loss=0.4008, lr=0.0000090, metrics:accuracy:0.8450
INFO:root:11:53:25 [Epoch 3 Batch 4770/12277] loss=0.4193, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:27 [Epoch 3 Batch 4780/12277] loss=0.3923, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:28 [Epoch 3 Batch 4790/12277] loss=0.4079, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:30 [Epoch 3 Batch 4800/12277] loss=0.4923, lr=0.0000089, metrics:accuracy:0.8449
INFO:root:11:53:31 [Epoch 3 Batch 4810/12277] loss=0.3645, lr=0.0000089, metrics:accuracy:0.8449
INFO:root:11:53:33 [Epoch 3 Batch 4820/12277] loss=0.4138, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:34 [Epoch 3 Batch 4830/12277] loss=0.3790, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:36 [Epoch 3 Batch 4840/12277] loss=0.4408, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:38 [Epoch 3 Batch 4850/12277] loss=0.3866, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:39 [Epoch 3 Batch 4860/12277] loss=0.3877, lr=0.0000089, metrics:accuracy:0.8451
INFO:root:11:53:41 [Epoch 3 Batch 4870/12277] loss=0.4623, lr=0.0000089, metrics:accuracy:0.8451
INFO:root:11:53:43 [Epoch 3 Batch 4880/12277] loss=0.3988, lr=0.0000089, metrics:accuracy:0.8451
INFO:root:11:53:45 [Epoch 3 Batch 4890/12277] loss=0.4205, lr=0.0000089, metrics:accuracy:0.8451
INFO:root:11:53:46 [Epoch 3 Batch 4900/12277] loss=0.4140, lr=0.0000089, metrics:accuracy:0.8451
INFO:root:11:53:48 [Epoch 3 Batch 4910/12277] loss=0.4500, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:49 [Epoch 3 Batch 4920/12277] loss=0.3694, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:51 [Epoch 3 Batch 4930/12277] loss=0.4634, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:53 [Epoch 3 Batch 4940/12277] loss=0.4095, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:54 [Epoch 3 Batch 4950/12277] loss=0.3781, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:53:56 [Epoch 3 Batch 4960/12277] loss=0.4518, lr=0.0000089, metrics:accuracy:0.8449
INFO:root:11:53:58 [Epoch 3 Batch 4970/12277] loss=0.4269, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:54:00 [Epoch 3 Batch 4980/12277] loss=0.3844, lr=0.0000089, metrics:accuracy:0.8450
INFO:root:11:54:01 [Epoch 3 Batch 4990/12277] loss=0.4262, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:03 [Epoch 3 Batch 5000/12277] loss=0.4025, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:04 [Epoch 3 Batch 5010/12277] loss=0.4296, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:06 [Epoch 3 Batch 5020/12277] loss=0.4359, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:08 [Epoch 3 Batch 5030/12277] loss=0.4371, lr=0.0000088, metrics:accuracy:0.8449
INFO:root:11:54:09 [Epoch 3 Batch 5040/12277] loss=0.3982, lr=0.0000088, metrics:accuracy:0.8449
INFO:root:11:54:11 [Epoch 3 Batch 5050/12277] loss=0.3721, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:13 [Epoch 3 Batch 5060/12277] loss=0.3138, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:15 [Epoch 3 Batch 5070/12277] loss=0.4473, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:17 [Epoch 3 Batch 5080/12277] loss=0.3166, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:18 [Epoch 3 Batch 5090/12277] loss=0.4312, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:20 [Epoch 3 Batch 5100/12277] loss=0.4058, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:22 [Epoch 3 Batch 5110/12277] loss=0.3993, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:23 [Epoch 3 Batch 5120/12277] loss=0.4780, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:25 [Epoch 3 Batch 5130/12277] loss=0.3754, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:27 [Epoch 3 Batch 5140/12277] loss=0.4122, lr=0.0000088, metrics:accuracy:0.8450
INFO:root:11:54:28 [Epoch 3 Batch 5150/12277] loss=0.3989, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:30 [Epoch 3 Batch 5160/12277] loss=0.3806, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:31 [Epoch 3 Batch 5170/12277] loss=0.3443, lr=0.0000088, metrics:accuracy:0.8451
INFO:root:11:54:33 [Epoch 3 Batch 5180/12277] loss=0.3450, lr=0.0000088, metrics:accuracy:0.8452
INFO:root:11:54:35 [Epoch 3 Batch 5190/12277] loss=0.3815, lr=0.0000088, metrics:accuracy:0.8452
INFO:root:11:54:36 [Epoch 3 Batch 5200/12277] loss=0.3816, lr=0.0000088, metrics:accuracy:0.8453
INFO:root:11:54:38 [Epoch 3 Batch 5210/12277] loss=0.3802, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:54:40 [Epoch 3 Batch 5220/12277] loss=0.3901, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:54:42 [Epoch 3 Batch 5230/12277] loss=0.3624, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:54:43 [Epoch 3 Batch 5240/12277] loss=0.4485, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:54:45 [Epoch 3 Batch 5250/12277] loss=0.4378, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:54:47 [Epoch 3 Batch 5260/12277] loss=0.3707, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:54:49 [Epoch 3 Batch 5270/12277] loss=0.4543, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:54:50 [Epoch 3 Batch 5280/12277] loss=0.4354, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:54:52 [Epoch 3 Batch 5290/12277] loss=0.3542, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:54:53 [Epoch 3 Batch 5300/12277] loss=0.3925, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:54:55 [Epoch 3 Batch 5310/12277] loss=0.3953, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:54:56 [Epoch 3 Batch 5320/12277] loss=0.4510, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:54:58 [Epoch 3 Batch 5330/12277] loss=0.3744, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:55:00 [Epoch 3 Batch 5340/12277] loss=0.5269, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:55:02 [Epoch 3 Batch 5350/12277] loss=0.4112, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:55:03 [Epoch 3 Batch 5360/12277] loss=0.4017, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:55:05 [Epoch 3 Batch 5370/12277] loss=0.3442, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:55:07 [Epoch 3 Batch 5380/12277] loss=0.3776, lr=0.0000087, metrics:accuracy:0.8453
INFO:root:11:55:09 [Epoch 3 Batch 5390/12277] loss=0.4446, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:55:10 [Epoch 3 Batch 5400/12277] loss=0.4280, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:55:12 [Epoch 3 Batch 5410/12277] loss=0.3884, lr=0.0000087, metrics:accuracy:0.8452
INFO:root:11:55:14 [Epoch 3 Batch 5420/12277] loss=0.4925, lr=0.0000087, metrics:accuracy:0.8451
INFO:root:11:55:15 [Epoch 3 Batch 5430/12277] loss=0.3623, lr=0.0000086, metrics:accuracy:0.8452
INFO:root:11:55:17 [Epoch 3 Batch 5440/12277] loss=0.4985, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:19 [Epoch 3 Batch 5450/12277] loss=0.4057, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:20 [Epoch 3 Batch 5460/12277] loss=0.4072, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:22 [Epoch 3 Batch 5470/12277] loss=0.4129, lr=0.0000086, metrics:accuracy:0.8452
INFO:root:11:55:23 [Epoch 3 Batch 5480/12277] loss=0.4057, lr=0.0000086, metrics:accuracy:0.8452
INFO:root:11:55:25 [Epoch 3 Batch 5490/12277] loss=0.4354, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:27 [Epoch 3 Batch 5500/12277] loss=0.4001, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:28 [Epoch 3 Batch 5510/12277] loss=0.4491, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:30 [Epoch 3 Batch 5520/12277] loss=0.4175, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:32 [Epoch 3 Batch 5530/12277] loss=0.3977, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:33 [Epoch 3 Batch 5540/12277] loss=0.4736, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:35 [Epoch 3 Batch 5550/12277] loss=0.4531, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:36 [Epoch 3 Batch 5560/12277] loss=0.4226, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:38 [Epoch 3 Batch 5570/12277] loss=0.3498, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:39 [Epoch 3 Batch 5580/12277] loss=0.3358, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:41 [Epoch 3 Batch 5590/12277] loss=0.4635, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:43 [Epoch 3 Batch 5600/12277] loss=0.3890, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:44 [Epoch 3 Batch 5610/12277] loss=0.3931, lr=0.0000086, metrics:accuracy:0.8450
INFO:root:11:55:46 [Epoch 3 Batch 5620/12277] loss=0.3556, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:48 [Epoch 3 Batch 5630/12277] loss=0.3605, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:50 [Epoch 3 Batch 5640/12277] loss=0.4229, lr=0.0000086, metrics:accuracy:0.8451
INFO:root:11:55:51 [Epoch 3 Batch 5650/12277] loss=0.4795, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:55:53 [Epoch 3 Batch 5660/12277] loss=0.3655, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:55:55 [Epoch 3 Batch 5670/12277] loss=0.4369, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:55:57 [Epoch 3 Batch 5680/12277] loss=0.3649, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:55:58 [Epoch 3 Batch 5690/12277] loss=0.4086, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:56:00 [Epoch 3 Batch 5700/12277] loss=0.4071, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:56:02 [Epoch 3 Batch 5710/12277] loss=0.3948, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:56:03 [Epoch 3 Batch 5720/12277] loss=0.3583, lr=0.0000085, metrics:accuracy:0.8450
INFO:root:11:56:05 [Epoch 3 Batch 5730/12277] loss=0.3437, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:06 [Epoch 3 Batch 5740/12277] loss=0.4315, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:08 [Epoch 3 Batch 5750/12277] loss=0.4216, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:10 [Epoch 3 Batch 5760/12277] loss=0.3736, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:11 [Epoch 3 Batch 5770/12277] loss=0.4167, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:13 [Epoch 3 Batch 5780/12277] loss=0.4501, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:15 [Epoch 3 Batch 5790/12277] loss=0.3867, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:17 [Epoch 3 Batch 5800/12277] loss=0.4340, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:18 [Epoch 3 Batch 5810/12277] loss=0.4350, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:20 [Epoch 3 Batch 5820/12277] loss=0.3867, lr=0.0000085, metrics:accuracy:0.8452
INFO:root:11:56:22 [Epoch 3 Batch 5830/12277] loss=0.4557, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:23 [Epoch 3 Batch 5840/12277] loss=0.3933, lr=0.0000085, metrics:accuracy:0.8451
INFO:root:11:56:25 [Epoch 3 Batch 5850/12277] loss=0.2870, lr=0.0000085, metrics:accuracy:0.8452
INFO:root:11:56:26 [Epoch 3 Batch 5860/12277] loss=0.4305, lr=0.0000085, metrics:accuracy:0.8452
INFO:root:11:56:28 [Epoch 3 Batch 5870/12277] loss=0.5068, lr=0.0000084, metrics:accuracy:0.8451
INFO:root:11:56:30 [Epoch 3 Batch 5880/12277] loss=0.4494, lr=0.0000084, metrics:accuracy:0.8451
INFO:root:11:56:31 [Epoch 3 Batch 5890/12277] loss=0.3779, lr=0.0000084, metrics:accuracy:0.8451
INFO:root:11:56:33 [Epoch 3 Batch 5900/12277] loss=0.4052, lr=0.0000084, metrics:accuracy:0.8451
INFO:root:11:56:35 [Epoch 3 Batch 5910/12277] loss=0.3727, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:36 [Epoch 3 Batch 5920/12277] loss=0.3709, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:38 [Epoch 3 Batch 5930/12277] loss=0.4480, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:39 [Epoch 3 Batch 5940/12277] loss=0.4099, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:41 [Epoch 3 Batch 5950/12277] loss=0.3534, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:43 [Epoch 3 Batch 5960/12277] loss=0.3825, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:44 [Epoch 3 Batch 5970/12277] loss=0.4307, lr=0.0000084, metrics:accuracy:0.8453
INFO:root:11:56:46 [Epoch 3 Batch 5980/12277] loss=0.4403, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:48 [Epoch 3 Batch 5990/12277] loss=0.3922, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:50 [Epoch 3 Batch 6000/12277] loss=0.4344, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:51 [Epoch 3 Batch 6010/12277] loss=0.4160, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:53 [Epoch 3 Batch 6020/12277] loss=0.4080, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:54 [Epoch 3 Batch 6030/12277] loss=0.4314, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:56 [Epoch 3 Batch 6040/12277] loss=0.3494, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:56:58 [Epoch 3 Batch 6050/12277] loss=0.3965, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:57:00 [Epoch 3 Batch 6060/12277] loss=0.4330, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:57:01 [Epoch 3 Batch 6070/12277] loss=0.3831, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:57:03 [Epoch 3 Batch 6080/12277] loss=0.3938, lr=0.0000084, metrics:accuracy:0.8452
INFO:root:11:57:05 [Epoch 3 Batch 6090/12277] loss=0.4098, lr=0.0000083, metrics:accuracy:0.8452
INFO:root:11:57:06 [Epoch 3 Batch 6100/12277] loss=0.3635, lr=0.0000083, metrics:accuracy:0.8453
INFO:root:11:57:08 [Epoch 3 Batch 6110/12277] loss=0.4421, lr=0.0000083, metrics:accuracy:0.8452
INFO:root:11:57:10 [Epoch 3 Batch 6120/12277] loss=0.4550, lr=0.0000083, metrics:accuracy:0.8452
INFO:root:11:57:12 [Epoch 3 Batch 6130/12277] loss=0.3773, lr=0.0000083, metrics:accuracy:0.8452
INFO:root:11:57:13 [Epoch 3 Batch 6140/12277] loss=0.4232, lr=0.0000083, metrics:accuracy:0.8452
INFO:root:11:57:15 [Epoch 3 Batch 6150/12277] loss=0.4076, lr=0.0000083, metrics:accuracy:0.8452
INFO:root:11:57:16 [Epoch 3 Batch 6160/12277] loss=0.4239, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:18 [Epoch 3 Batch 6170/12277] loss=0.4515, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:19 [Epoch 3 Batch 6180/12277] loss=0.3904, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:21 [Epoch 3 Batch 6190/12277] loss=0.4307, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:22 [Epoch 3 Batch 6200/12277] loss=0.5084, lr=0.0000083, metrics:accuracy:0.8450
INFO:root:11:57:24 [Epoch 3 Batch 6210/12277] loss=0.3628, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:26 [Epoch 3 Batch 6220/12277] loss=0.3984, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:27 [Epoch 3 Batch 6230/12277] loss=0.4110, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:29 [Epoch 3 Batch 6240/12277] loss=0.4780, lr=0.0000083, metrics:accuracy:0.8450
INFO:root:11:57:30 [Epoch 3 Batch 6250/12277] loss=0.3795, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:32 [Epoch 3 Batch 6260/12277] loss=0.4657, lr=0.0000083, metrics:accuracy:0.8451
INFO:root:11:57:34 [Epoch 3 Batch 6270/12277] loss=0.4918, lr=0.0000083, metrics:accuracy:0.8450
INFO:root:11:57:36 [Epoch 3 Batch 6280/12277] loss=0.4826, lr=0.0000083, metrics:accuracy:0.8449
INFO:root:11:57:37 [Epoch 3 Batch 6290/12277] loss=0.3524, lr=0.0000083, metrics:accuracy:0.8450
INFO:root:11:57:39 [Epoch 3 Batch 6300/12277] loss=0.4179, lr=0.0000083, metrics:accuracy:0.8450
INFO:root:11:57:41 [Epoch 3 Batch 6310/12277] loss=0.3854, lr=0.0000083, metrics:accuracy:0.8450
INFO:root:11:57:42 [Epoch 3 Batch 6320/12277] loss=0.3759, lr=0.0000082, metrics:accuracy:0.8450
INFO:root:11:57:43 [Epoch 3 Batch 6330/12277] loss=0.4266, lr=0.0000082, metrics:accuracy:0.8450
INFO:root:11:57:45 [Epoch 3 Batch 6340/12277] loss=0.4695, lr=0.0000082, metrics:accuracy:0.8450
INFO:root:11:57:46 [Epoch 3 Batch 6350/12277] loss=0.4088, lr=0.0000082, metrics:accuracy:0.8450
INFO:root:11:57:48 [Epoch 3 Batch 6360/12277] loss=0.3244, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:57:49 [Epoch 3 Batch 6370/12277] loss=0.4044, lr=0.0000082, metrics:accuracy:0.8450
INFO:root:11:57:51 [Epoch 3 Batch 6380/12277] loss=0.3838, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:57:53 [Epoch 3 Batch 6390/12277] loss=0.4072, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:57:55 [Epoch 3 Batch 6400/12277] loss=0.3627, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:57:56 [Epoch 3 Batch 6410/12277] loss=0.4039, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:57:58 [Epoch 3 Batch 6420/12277] loss=0.3426, lr=0.0000082, metrics:accuracy:0.8452
INFO:root:11:57:59 [Epoch 3 Batch 6430/12277] loss=0.4360, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:01 [Epoch 3 Batch 6440/12277] loss=0.4753, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:02 [Epoch 3 Batch 6450/12277] loss=0.4514, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:04 [Epoch 3 Batch 6460/12277] loss=0.3664, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:05 [Epoch 3 Batch 6470/12277] loss=0.3782, lr=0.0000082, metrics:accuracy:0.8452
INFO:root:11:58:07 [Epoch 3 Batch 6480/12277] loss=0.4151, lr=0.0000082, metrics:accuracy:0.8452
INFO:root:11:58:09 [Epoch 3 Batch 6490/12277] loss=0.4236, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:11 [Epoch 3 Batch 6500/12277] loss=0.3609, lr=0.0000082, metrics:accuracy:0.8452
INFO:root:11:58:12 [Epoch 3 Batch 6510/12277] loss=0.4998, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:14 [Epoch 3 Batch 6520/12277] loss=0.4222, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:15 [Epoch 3 Batch 6530/12277] loss=0.3564, lr=0.0000082, metrics:accuracy:0.8451
INFO:root:11:58:17 [Epoch 3 Batch 6540/12277] loss=0.3543, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:19 [Epoch 3 Batch 6550/12277] loss=0.4142, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:20 [Epoch 3 Batch 6560/12277] loss=0.4684, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:22 [Epoch 3 Batch 6570/12277] loss=0.4653, lr=0.0000081, metrics:accuracy:0.8451
INFO:root:11:58:24 [Epoch 3 Batch 6580/12277] loss=0.3313, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:25 [Epoch 3 Batch 6590/12277] loss=0.3098, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:27 [Epoch 3 Batch 6600/12277] loss=0.3620, lr=0.0000081, metrics:accuracy:0.8453
INFO:root:11:58:29 [Epoch 3 Batch 6610/12277] loss=0.4971, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:30 [Epoch 3 Batch 6620/12277] loss=0.4287, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:32 [Epoch 3 Batch 6630/12277] loss=0.4023, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:33 [Epoch 3 Batch 6640/12277] loss=0.4451, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:35 [Epoch 3 Batch 6650/12277] loss=0.3999, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:36 [Epoch 3 Batch 6660/12277] loss=0.3634, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:38 [Epoch 3 Batch 6670/12277] loss=0.4553, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:40 [Epoch 3 Batch 6680/12277] loss=0.3337, lr=0.0000081, metrics:accuracy:0.8453
INFO:root:11:58:41 [Epoch 3 Batch 6690/12277] loss=0.4699, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:43 [Epoch 3 Batch 6700/12277] loss=0.3867, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:45 [Epoch 3 Batch 6710/12277] loss=0.3422, lr=0.0000081, metrics:accuracy:0.8453
INFO:root:11:58:46 [Epoch 3 Batch 6720/12277] loss=0.4068, lr=0.0000081, metrics:accuracy:0.8453
INFO:root:11:58:48 [Epoch 3 Batch 6730/12277] loss=0.3911, lr=0.0000081, metrics:accuracy:0.8453
INFO:root:11:58:49 [Epoch 3 Batch 6740/12277] loss=0.4960, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:51 [Epoch 3 Batch 6750/12277] loss=0.3924, lr=0.0000081, metrics:accuracy:0.8452
INFO:root:11:58:52 [Epoch 3 Batch 6760/12277] loss=0.4067, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:58:54 [Epoch 3 Batch 6770/12277] loss=0.3918, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:58:55 [Epoch 3 Batch 6780/12277] loss=0.4421, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:58:57 [Epoch 3 Batch 6790/12277] loss=0.3955, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:58:59 [Epoch 3 Batch 6800/12277] loss=0.5240, lr=0.0000080, metrics:accuracy:0.8452
INFO:root:11:59:00 [Epoch 3 Batch 6810/12277] loss=0.4191, lr=0.0000080, metrics:accuracy:0.8452
INFO:root:11:59:02 [Epoch 3 Batch 6820/12277] loss=0.3154, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:04 [Epoch 3 Batch 6830/12277] loss=0.4651, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:05 [Epoch 3 Batch 6840/12277] loss=0.4401, lr=0.0000080, metrics:accuracy:0.8452
INFO:root:11:59:07 [Epoch 3 Batch 6850/12277] loss=0.3572, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:09 [Epoch 3 Batch 6860/12277] loss=0.3637, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:10 [Epoch 3 Batch 6870/12277] loss=0.3851, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:12 [Epoch 3 Batch 6880/12277] loss=0.3557, lr=0.0000080, metrics:accuracy:0.8454
INFO:root:11:59:14 [Epoch 3 Batch 6890/12277] loss=0.3970, lr=0.0000080, metrics:accuracy:0.8454
INFO:root:11:59:16 [Epoch 3 Batch 6900/12277] loss=0.4340, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:18 [Epoch 3 Batch 6910/12277] loss=0.4428, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:19 [Epoch 3 Batch 6920/12277] loss=0.4324, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:21 [Epoch 3 Batch 6930/12277] loss=0.4003, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:23 [Epoch 3 Batch 6940/12277] loss=0.3269, lr=0.0000080, metrics:accuracy:0.8454
INFO:root:11:59:24 [Epoch 3 Batch 6950/12277] loss=0.4231, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:26 [Epoch 3 Batch 6960/12277] loss=0.4663, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:27 [Epoch 3 Batch 6970/12277] loss=0.4589, lr=0.0000080, metrics:accuracy:0.8453
INFO:root:11:59:29 [Epoch 3 Batch 6980/12277] loss=0.3931, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:30 [Epoch 3 Batch 6990/12277] loss=0.4124, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:32 [Epoch 3 Batch 7000/12277] loss=0.3874, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:34 [Epoch 3 Batch 7010/12277] loss=0.3888, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:35 [Epoch 3 Batch 7020/12277] loss=0.4061, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:37 [Epoch 3 Batch 7030/12277] loss=0.4286, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:39 [Epoch 3 Batch 7040/12277] loss=0.4423, lr=0.0000079, metrics:accuracy:0.8452
INFO:root:11:59:41 [Epoch 3 Batch 7050/12277] loss=0.4325, lr=0.0000079, metrics:accuracy:0.8452
INFO:root:11:59:42 [Epoch 3 Batch 7060/12277] loss=0.2997, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:44 [Epoch 3 Batch 7070/12277] loss=0.4069, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:46 [Epoch 3 Batch 7080/12277] loss=0.4370, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:47 [Epoch 3 Batch 7090/12277] loss=0.4379, lr=0.0000079, metrics:accuracy:0.8452
INFO:root:11:59:49 [Epoch 3 Batch 7100/12277] loss=0.3661, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:51 [Epoch 3 Batch 7110/12277] loss=0.3950, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:53 [Epoch 3 Batch 7120/12277] loss=0.3507, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:54 [Epoch 3 Batch 7130/12277] loss=0.4052, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:56 [Epoch 3 Batch 7140/12277] loss=0.4221, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:57 [Epoch 3 Batch 7150/12277] loss=0.3837, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:11:59:59 [Epoch 3 Batch 7160/12277] loss=0.4512, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:12:00:01 [Epoch 3 Batch 7170/12277] loss=0.4840, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:12:00:03 [Epoch 3 Batch 7180/12277] loss=0.3308, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:12:00:04 [Epoch 3 Batch 7190/12277] loss=0.4366, lr=0.0000079, metrics:accuracy:0.8453
INFO:root:12:00:06 [Epoch 3 Batch 7200/12277] loss=0.5014, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:08 [Epoch 3 Batch 7210/12277] loss=0.3667, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:09 [Epoch 3 Batch 7220/12277] loss=0.3197, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:11 [Epoch 3 Batch 7230/12277] loss=0.4141, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:12 [Epoch 3 Batch 7240/12277] loss=0.4617, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:14 [Epoch 3 Batch 7250/12277] loss=0.4356, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:15 [Epoch 3 Batch 7260/12277] loss=0.4165, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:17 [Epoch 3 Batch 7270/12277] loss=0.4234, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:19 [Epoch 3 Batch 7280/12277] loss=0.4174, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:20 [Epoch 3 Batch 7290/12277] loss=0.4524, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:22 [Epoch 3 Batch 7300/12277] loss=0.4549, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:23 [Epoch 3 Batch 7310/12277] loss=0.4715, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:25 [Epoch 3 Batch 7320/12277] loss=0.3626, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:27 [Epoch 3 Batch 7330/12277] loss=0.4468, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:28 [Epoch 3 Batch 7340/12277] loss=0.3278, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:30 [Epoch 3 Batch 7350/12277] loss=0.3899, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:31 [Epoch 3 Batch 7360/12277] loss=0.3769, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:33 [Epoch 3 Batch 7370/12277] loss=0.4123, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:34 [Epoch 3 Batch 7380/12277] loss=0.4642, lr=0.0000078, metrics:accuracy:0.8452
INFO:root:12:00:36 [Epoch 3 Batch 7390/12277] loss=0.3812, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:37 [Epoch 3 Batch 7400/12277] loss=0.3842, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:39 [Epoch 3 Batch 7410/12277] loss=0.4532, lr=0.0000078, metrics:accuracy:0.8453
INFO:root:12:00:41 [Epoch 3 Batch 7420/12277] loss=0.4162, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:00:42 [Epoch 3 Batch 7430/12277] loss=0.3647, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:00:44 [Epoch 3 Batch 7440/12277] loss=0.3541, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:45 [Epoch 3 Batch 7450/12277] loss=0.3193, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:47 [Epoch 3 Batch 7460/12277] loss=0.4338, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:49 [Epoch 3 Batch 7470/12277] loss=0.4301, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:51 [Epoch 3 Batch 7480/12277] loss=0.4060, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:53 [Epoch 3 Batch 7490/12277] loss=0.4663, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:54 [Epoch 3 Batch 7500/12277] loss=0.4272, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:00:56 [Epoch 3 Batch 7510/12277] loss=0.4651, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:00:58 [Epoch 3 Batch 7520/12277] loss=0.4326, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:00:59 [Epoch 3 Batch 7530/12277] loss=0.4074, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:01 [Epoch 3 Batch 7540/12277] loss=0.3500, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:02 [Epoch 3 Batch 7550/12277] loss=0.4294, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:04 [Epoch 3 Batch 7560/12277] loss=0.3923, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:06 [Epoch 3 Batch 7570/12277] loss=0.3801, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:01:07 [Epoch 3 Batch 7580/12277] loss=0.5365, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:08 [Epoch 3 Batch 7590/12277] loss=0.3636, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:10 [Epoch 3 Batch 7600/12277] loss=0.3654, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:12 [Epoch 3 Batch 7610/12277] loss=0.4092, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:01:13 [Epoch 3 Batch 7620/12277] loss=0.3722, lr=0.0000077, metrics:accuracy:0.8454
INFO:root:12:01:15 [Epoch 3 Batch 7630/12277] loss=0.4773, lr=0.0000077, metrics:accuracy:0.8453
INFO:root:12:01:16 [Epoch 3 Batch 7640/12277] loss=0.4786, lr=0.0000076, metrics:accuracy:0.8453
INFO:root:12:01:18 [Epoch 3 Batch 7650/12277] loss=0.4260, lr=0.0000076, metrics:accuracy:0.8453
INFO:root:12:01:19 [Epoch 3 Batch 7660/12277] loss=0.4024, lr=0.0000076, metrics:accuracy:0.8453
INFO:root:12:01:21 [Epoch 3 Batch 7670/12277] loss=0.3141, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:22 [Epoch 3 Batch 7680/12277] loss=0.4693, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:24 [Epoch 3 Batch 7690/12277] loss=0.4682, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:25 [Epoch 3 Batch 7700/12277] loss=0.3955, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:27 [Epoch 3 Batch 7710/12277] loss=0.5037, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:29 [Epoch 3 Batch 7720/12277] loss=0.3667, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:30 [Epoch 3 Batch 7730/12277] loss=0.3952, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:32 [Epoch 3 Batch 7740/12277] loss=0.3609, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:34 [Epoch 3 Batch 7750/12277] loss=0.3571, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:35 [Epoch 3 Batch 7760/12277] loss=0.4029, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:37 [Epoch 3 Batch 7770/12277] loss=0.3842, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:39 [Epoch 3 Batch 7780/12277] loss=0.4195, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:40 [Epoch 3 Batch 7790/12277] loss=0.3742, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:43 [Epoch 3 Batch 7800/12277] loss=0.4578, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:44 [Epoch 3 Batch 7810/12277] loss=0.4876, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:46 [Epoch 3 Batch 7820/12277] loss=0.4301, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:48 [Epoch 3 Batch 7830/12277] loss=0.4060, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:50 [Epoch 3 Batch 7840/12277] loss=0.3517, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:51 [Epoch 3 Batch 7850/12277] loss=0.3766, lr=0.0000076, metrics:accuracy:0.8454
INFO:root:12:01:53 [Epoch 3 Batch 7860/12277] loss=0.3879, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:01:54 [Epoch 3 Batch 7870/12277] loss=0.4356, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:01:56 [Epoch 3 Batch 7880/12277] loss=0.3465, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:01:57 [Epoch 3 Batch 7890/12277] loss=0.3857, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:01:59 [Epoch 3 Batch 7900/12277] loss=0.4507, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:01 [Epoch 3 Batch 7910/12277] loss=0.4535, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:02 [Epoch 3 Batch 7920/12277] loss=0.4318, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:04 [Epoch 3 Batch 7930/12277] loss=0.3368, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:05 [Epoch 3 Batch 7940/12277] loss=0.4278, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:07 [Epoch 3 Batch 7950/12277] loss=0.4590, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:08 [Epoch 3 Batch 7960/12277] loss=0.4287, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:10 [Epoch 3 Batch 7970/12277] loss=0.3912, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:12 [Epoch 3 Batch 7980/12277] loss=0.3622, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:13 [Epoch 3 Batch 7990/12277] loss=0.4402, lr=0.0000075, metrics:accuracy:0.8454
INFO:root:12:02:15 [Epoch 3 Batch 8000/12277] loss=0.3369, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:17 [Epoch 3 Batch 8010/12277] loss=0.3734, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:18 [Epoch 3 Batch 8020/12277] loss=0.3919, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:20 [Epoch 3 Batch 8030/12277] loss=0.3346, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:21 [Epoch 3 Batch 8040/12277] loss=0.3731, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:23 [Epoch 3 Batch 8050/12277] loss=0.3718, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:24 [Epoch 3 Batch 8060/12277] loss=0.3405, lr=0.0000075, metrics:accuracy:0.8456
INFO:root:12:02:26 [Epoch 3 Batch 8070/12277] loss=0.4538, lr=0.0000075, metrics:accuracy:0.8455
INFO:root:12:02:28 [Epoch 3 Batch 8080/12277] loss=0.3546, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:30 [Epoch 3 Batch 8090/12277] loss=0.4486, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:02:31 [Epoch 3 Batch 8100/12277] loss=0.3969, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:02:33 [Epoch 3 Batch 8110/12277] loss=0.4207, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:02:35 [Epoch 3 Batch 8120/12277] loss=0.3831, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:02:37 [Epoch 3 Batch 8130/12277] loss=0.3411, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:38 [Epoch 3 Batch 8140/12277] loss=0.3937, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:41 [Epoch 3 Batch 8150/12277] loss=0.4467, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:42 [Epoch 3 Batch 8160/12277] loss=0.4405, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:44 [Epoch 3 Batch 8170/12277] loss=0.4012, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:45 [Epoch 3 Batch 8180/12277] loss=0.3348, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:47 [Epoch 3 Batch 8190/12277] loss=0.4116, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:49 [Epoch 3 Batch 8200/12277] loss=0.3692, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:50 [Epoch 3 Batch 8210/12277] loss=0.3911, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:52 [Epoch 3 Batch 8220/12277] loss=0.4766, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:53 [Epoch 3 Batch 8230/12277] loss=0.4389, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:55 [Epoch 3 Batch 8240/12277] loss=0.4097, lr=0.0000074, metrics:accuracy:0.8456
INFO:root:12:02:57 [Epoch 3 Batch 8250/12277] loss=0.4277, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:02:58 [Epoch 3 Batch 8260/12277] loss=0.4761, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:03:00 [Epoch 3 Batch 8270/12277] loss=0.3980, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:03:01 [Epoch 3 Batch 8280/12277] loss=0.4267, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:03:03 [Epoch 3 Batch 8290/12277] loss=0.3839, lr=0.0000074, metrics:accuracy:0.8455
INFO:root:12:03:05 [Epoch 3 Batch 8300/12277] loss=0.3889, lr=0.0000073, metrics:accuracy:0.8455
INFO:root:12:03:06 [Epoch 3 Batch 8310/12277] loss=0.3733, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:08 [Epoch 3 Batch 8320/12277] loss=0.5107, lr=0.0000073, metrics:accuracy:0.8455
INFO:root:12:03:10 [Epoch 3 Batch 8330/12277] loss=0.4365, lr=0.0000073, metrics:accuracy:0.8455
INFO:root:12:03:11 [Epoch 3 Batch 8340/12277] loss=0.4363, lr=0.0000073, metrics:accuracy:0.8455
INFO:root:12:03:13 [Epoch 3 Batch 8350/12277] loss=0.4072, lr=0.0000073, metrics:accuracy:0.8455
INFO:root:12:03:14 [Epoch 3 Batch 8360/12277] loss=0.4054, lr=0.0000073, metrics:accuracy:0.8455
INFO:root:12:03:16 [Epoch 3 Batch 8370/12277] loss=0.2957, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:18 [Epoch 3 Batch 8380/12277] loss=0.4520, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:19 [Epoch 3 Batch 8390/12277] loss=0.3246, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:20 [Epoch 3 Batch 8400/12277] loss=0.3793, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:22 [Epoch 3 Batch 8410/12277] loss=0.4124, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:23 [Epoch 3 Batch 8420/12277] loss=0.4157, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:25 [Epoch 3 Batch 8430/12277] loss=0.3709, lr=0.0000073, metrics:accuracy:0.8457
INFO:root:12:03:27 [Epoch 3 Batch 8440/12277] loss=0.4527, lr=0.0000073, metrics:accuracy:0.8457
INFO:root:12:03:29 [Epoch 3 Batch 8450/12277] loss=0.4621, lr=0.0000073, metrics:accuracy:0.8457
INFO:root:12:03:30 [Epoch 3 Batch 8460/12277] loss=0.4216, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:32 [Epoch 3 Batch 8470/12277] loss=0.3972, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:33 [Epoch 3 Batch 8480/12277] loss=0.3648, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:35 [Epoch 3 Batch 8490/12277] loss=0.3641, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:37 [Epoch 3 Batch 8500/12277] loss=0.3963, lr=0.0000073, metrics:accuracy:0.8457
INFO:root:12:03:38 [Epoch 3 Batch 8510/12277] loss=0.4535, lr=0.0000073, metrics:accuracy:0.8456
INFO:root:12:03:40 [Epoch 3 Batch 8520/12277] loss=0.3548, lr=0.0000072, metrics:accuracy:0.8456
INFO:root:12:03:42 [Epoch 3 Batch 8530/12277] loss=0.4123, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:43 [Epoch 3 Batch 8540/12277] loss=0.4218, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:45 [Epoch 3 Batch 8550/12277] loss=0.3735, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:47 [Epoch 3 Batch 8560/12277] loss=0.5203, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:49 [Epoch 3 Batch 8570/12277] loss=0.3210, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:51 [Epoch 3 Batch 8580/12277] loss=0.4166, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:52 [Epoch 3 Batch 8590/12277] loss=0.3330, lr=0.0000072, metrics:accuracy:0.8457
INFO:root:12:03:54 [Epoch 3 Batch 8600/12277] loss=0.2884, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:03:55 [Epoch 3 Batch 8610/12277] loss=0.4057, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:03:57 [Epoch 3 Batch 8620/12277] loss=0.4547, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:03:58 [Epoch 3 Batch 8630/12277] loss=0.3889, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:03:59 [Epoch 3 Batch 8640/12277] loss=0.3608, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:04:01 [Epoch 3 Batch 8650/12277] loss=0.4006, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:04:03 [Epoch 3 Batch 8660/12277] loss=0.3741, lr=0.0000072, metrics:accuracy:0.8459
INFO:root:12:04:05 [Epoch 3 Batch 8670/12277] loss=0.4238, lr=0.0000072, metrics:accuracy:0.8459
INFO:root:12:04:06 [Epoch 3 Batch 8680/12277] loss=0.4609, lr=0.0000072, metrics:accuracy:0.8459
INFO:root:12:04:08 [Epoch 3 Batch 8690/12277] loss=0.3069, lr=0.0000072, metrics:accuracy:0.8459
INFO:root:12:04:10 [Epoch 3 Batch 8700/12277] loss=0.4458, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:04:12 [Epoch 3 Batch 8710/12277] loss=0.4320, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:04:13 [Epoch 3 Batch 8720/12277] loss=0.4101, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:04:15 [Epoch 3 Batch 8730/12277] loss=0.3857, lr=0.0000072, metrics:accuracy:0.8459
INFO:root:12:04:16 [Epoch 3 Batch 8740/12277] loss=0.4060, lr=0.0000072, metrics:accuracy:0.8458
INFO:root:12:04:18 [Epoch 3 Batch 8750/12277] loss=0.3588, lr=0.0000071, metrics:accuracy:0.8458
INFO:root:12:04:19 [Epoch 3 Batch 8760/12277] loss=0.3131, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:21 [Epoch 3 Batch 8770/12277] loss=0.4493, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:23 [Epoch 3 Batch 8780/12277] loss=0.4560, lr=0.0000071, metrics:accuracy:0.8458
INFO:root:12:04:25 [Epoch 3 Batch 8790/12277] loss=0.3807, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:27 [Epoch 3 Batch 8800/12277] loss=0.3432, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:28 [Epoch 3 Batch 8810/12277] loss=0.3600, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:30 [Epoch 3 Batch 8820/12277] loss=0.4075, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:31 [Epoch 3 Batch 8830/12277] loss=0.5175, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:33 [Epoch 3 Batch 8840/12277] loss=0.3206, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:34 [Epoch 3 Batch 8850/12277] loss=0.3974, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:36 [Epoch 3 Batch 8860/12277] loss=0.3691, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:38 [Epoch 3 Batch 8870/12277] loss=0.3783, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:39 [Epoch 3 Batch 8880/12277] loss=0.3769, lr=0.0000071, metrics:accuracy:0.8460
INFO:root:12:04:41 [Epoch 3 Batch 8890/12277] loss=0.3854, lr=0.0000071, metrics:accuracy:0.8460
INFO:root:12:04:43 [Epoch 3 Batch 8900/12277] loss=0.4351, lr=0.0000071, metrics:accuracy:0.8460
INFO:root:12:04:44 [Epoch 3 Batch 8910/12277] loss=0.5246, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:46 [Epoch 3 Batch 8920/12277] loss=0.4049, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:47 [Epoch 3 Batch 8930/12277] loss=0.4412, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:49 [Epoch 3 Batch 8940/12277] loss=0.4599, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:51 [Epoch 3 Batch 8950/12277] loss=0.3931, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:52 [Epoch 3 Batch 8960/12277] loss=0.3575, lr=0.0000071, metrics:accuracy:0.8459
INFO:root:12:04:54 [Epoch 3 Batch 8970/12277] loss=0.3987, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:04:56 [Epoch 3 Batch 8980/12277] loss=0.4006, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:04:57 [Epoch 3 Batch 8990/12277] loss=0.3705, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:04:59 [Epoch 3 Batch 9000/12277] loss=0.4011, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:01 [Epoch 3 Batch 9010/12277] loss=0.3621, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:02 [Epoch 3 Batch 9020/12277] loss=0.4347, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:03 [Epoch 3 Batch 9030/12277] loss=0.4124, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:05 [Epoch 3 Batch 9040/12277] loss=0.3508, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:06 [Epoch 3 Batch 9050/12277] loss=0.3557, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:08 [Epoch 3 Batch 9060/12277] loss=0.3333, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:09 [Epoch 3 Batch 9070/12277] loss=0.3848, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:11 [Epoch 3 Batch 9080/12277] loss=0.3673, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:12 [Epoch 3 Batch 9090/12277] loss=0.4289, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:14 [Epoch 3 Batch 9100/12277] loss=0.4469, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:15 [Epoch 3 Batch 9110/12277] loss=0.4139, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:17 [Epoch 3 Batch 9120/12277] loss=0.3199, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:18 [Epoch 3 Batch 9130/12277] loss=0.4169, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:20 [Epoch 3 Batch 9140/12277] loss=0.4494, lr=0.0000070, metrics:accuracy:0.8460
INFO:root:12:05:22 [Epoch 3 Batch 9150/12277] loss=0.4335, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:23 [Epoch 3 Batch 9160/12277] loss=0.4364, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:25 [Epoch 3 Batch 9170/12277] loss=0.4332, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:27 [Epoch 3 Batch 9180/12277] loss=0.4445, lr=0.0000070, metrics:accuracy:0.8459
INFO:root:12:05:29 [Epoch 3 Batch 9190/12277] loss=0.3682, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:30 [Epoch 3 Batch 9200/12277] loss=0.3248, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:32 [Epoch 3 Batch 9210/12277] loss=0.3499, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:34 [Epoch 3 Batch 9220/12277] loss=0.3810, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:35 [Epoch 3 Batch 9230/12277] loss=0.3658, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:37 [Epoch 3 Batch 9240/12277] loss=0.3824, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:38 [Epoch 3 Batch 9250/12277] loss=0.3645, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:40 [Epoch 3 Batch 9260/12277] loss=0.4638, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:41 [Epoch 3 Batch 9270/12277] loss=0.3592, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:43 [Epoch 3 Batch 9280/12277] loss=0.4549, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:44 [Epoch 3 Batch 9290/12277] loss=0.4934, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:46 [Epoch 3 Batch 9300/12277] loss=0.4299, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:47 [Epoch 3 Batch 9310/12277] loss=0.3948, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:49 [Epoch 3 Batch 9320/12277] loss=0.4443, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:50 [Epoch 3 Batch 9330/12277] loss=0.4088, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:52 [Epoch 3 Batch 9340/12277] loss=0.4148, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:54 [Epoch 3 Batch 9350/12277] loss=0.3603, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:55 [Epoch 3 Batch 9360/12277] loss=0.3846, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:05:56 [Epoch 3 Batch 9370/12277] loss=0.3873, lr=0.0000069, metrics:accuracy:0.8460
INFO:root:12:05:58 [Epoch 3 Batch 9380/12277] loss=0.4412, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:06:00 [Epoch 3 Batch 9390/12277] loss=0.4397, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:06:01 [Epoch 3 Batch 9400/12277] loss=0.4125, lr=0.0000069, metrics:accuracy:0.8459
INFO:root:12:06:03 [Epoch 3 Batch 9410/12277] loss=0.4624, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:05 [Epoch 3 Batch 9420/12277] loss=0.4107, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:07 [Epoch 3 Batch 9430/12277] loss=0.3929, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:08 [Epoch 3 Batch 9440/12277] loss=0.4294, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:10 [Epoch 3 Batch 9450/12277] loss=0.3359, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:11 [Epoch 3 Batch 9460/12277] loss=0.3369, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:13 [Epoch 3 Batch 9470/12277] loss=0.4110, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:15 [Epoch 3 Batch 9480/12277] loss=0.4252, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:16 [Epoch 3 Batch 9490/12277] loss=0.4440, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:18 [Epoch 3 Batch 9500/12277] loss=0.4441, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:20 [Epoch 3 Batch 9510/12277] loss=0.4855, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:22 [Epoch 3 Batch 9520/12277] loss=0.4085, lr=0.0000068, metrics:accuracy:0.8459
INFO:root:12:06:23 [Epoch 3 Batch 9530/12277] loss=0.3328, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:24 [Epoch 3 Batch 9540/12277] loss=0.4299, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:27 [Epoch 3 Batch 9550/12277] loss=0.3826, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:29 [Epoch 3 Batch 9560/12277] loss=0.3791, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:30 [Epoch 3 Batch 9570/12277] loss=0.4439, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:32 [Epoch 3 Batch 9580/12277] loss=0.4073, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:34 [Epoch 3 Batch 9590/12277] loss=0.3714, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:35 [Epoch 3 Batch 9600/12277] loss=0.4355, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:37 [Epoch 3 Batch 9610/12277] loss=0.4336, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:38 [Epoch 3 Batch 9620/12277] loss=0.4248, lr=0.0000068, metrics:accuracy:0.8460
INFO:root:12:06:40 [Epoch 3 Batch 9630/12277] loss=0.3808, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:41 [Epoch 3 Batch 9640/12277] loss=0.3756, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:43 [Epoch 3 Batch 9650/12277] loss=0.4842, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:45 [Epoch 3 Batch 9660/12277] loss=0.4045, lr=0.0000067, metrics:accuracy:0.8459
INFO:root:12:06:46 [Epoch 3 Batch 9670/12277] loss=0.3862, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:48 [Epoch 3 Batch 9680/12277] loss=0.4275, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:49 [Epoch 3 Batch 9690/12277] loss=0.3384, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:51 [Epoch 3 Batch 9700/12277] loss=0.3849, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:53 [Epoch 3 Batch 9710/12277] loss=0.4216, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:55 [Epoch 3 Batch 9720/12277] loss=0.3564, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:56 [Epoch 3 Batch 9730/12277] loss=0.4404, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:06:58 [Epoch 3 Batch 9740/12277] loss=0.4084, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:07:00 [Epoch 3 Batch 9750/12277] loss=0.4393, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:07:01 [Epoch 3 Batch 9760/12277] loss=0.4183, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:07:03 [Epoch 3 Batch 9770/12277] loss=0.3590, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:07:05 [Epoch 3 Batch 9780/12277] loss=0.4185, lr=0.0000067, metrics:accuracy:0.8460
INFO:root:12:07:07 [Epoch 3 Batch 9790/12277] loss=0.3799, lr=0.0000067, metrics:accuracy:0.8461
INFO:root:12:07:08 [Epoch 3 Batch 9800/12277] loss=0.4538, lr=0.0000067, metrics:accuracy:0.8461
INFO:root:12:07:10 [Epoch 3 Batch 9810/12277] loss=0.3574, lr=0.0000067, metrics:accuracy:0.8461
INFO:root:12:07:11 [Epoch 3 Batch 9820/12277] loss=0.4160, lr=0.0000067, metrics:accuracy:0.8461
INFO:root:12:07:13 [Epoch 3 Batch 9830/12277] loss=0.4496, lr=0.0000067, metrics:accuracy:0.8461
INFO:root:12:07:14 [Epoch 3 Batch 9840/12277] loss=0.3810, lr=0.0000067, metrics:accuracy:0.8461
INFO:root:12:07:16 [Epoch 3 Batch 9850/12277] loss=0.4284, lr=0.0000066, metrics:accuracy:0.8461
INFO:root:12:07:17 [Epoch 3 Batch 9860/12277] loss=0.3209, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:19 [Epoch 3 Batch 9870/12277] loss=0.4143, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:20 [Epoch 3 Batch 9880/12277] loss=0.3568, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:22 [Epoch 3 Batch 9890/12277] loss=0.4134, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:24 [Epoch 3 Batch 9900/12277] loss=0.4217, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:25 [Epoch 3 Batch 9910/12277] loss=0.3539, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:26 [Epoch 3 Batch 9920/12277] loss=0.3577, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:28 [Epoch 3 Batch 9930/12277] loss=0.3789, lr=0.0000066, metrics:accuracy:0.8463
INFO:root:12:07:30 [Epoch 3 Batch 9940/12277] loss=0.4221, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:31 [Epoch 3 Batch 9950/12277] loss=0.4340, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:33 [Epoch 3 Batch 9960/12277] loss=0.4390, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:35 [Epoch 3 Batch 9970/12277] loss=0.4842, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:36 [Epoch 3 Batch 9980/12277] loss=0.4114, lr=0.0000066, metrics:accuracy:0.8461
INFO:root:12:07:38 [Epoch 3 Batch 9990/12277] loss=0.3320, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:40 [Epoch 3 Batch 10000/12277] loss=0.4183, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:42 [Epoch 3 Batch 10010/12277] loss=0.3522, lr=0.0000066, metrics:accuracy:0.8462
INFO:root:12:07:43 [Epoch 3 Batch 10020/12277] loss=0.3612, lr=0.0000066, metrics:accuracy:0.8463
INFO:root:12:07:45 [Epoch 3 Batch 10030/12277] loss=0.3539, lr=0.0000066, metrics:accuracy:0.8463
INFO:root:12:07:47 [Epoch 3 Batch 10040/12277] loss=0.3875, lr=0.0000066, metrics:accuracy:0.8463
INFO:root:12:07:48 [Epoch 3 Batch 10050/12277] loss=0.3934, lr=0.0000066, metrics:accuracy:0.8463
INFO:root:12:07:50 [Epoch 3 Batch 10060/12277] loss=0.4809, lr=0.0000066, metrics:accuracy:0.8463
INFO:root:12:07:52 [Epoch 3 Batch 10070/12277] loss=0.3983, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:07:53 [Epoch 3 Batch 10080/12277] loss=0.3842, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:07:55 [Epoch 3 Batch 10090/12277] loss=0.3774, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:07:57 [Epoch 3 Batch 10100/12277] loss=0.4544, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:07:58 [Epoch 3 Batch 10110/12277] loss=0.4478, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:08:00 [Epoch 3 Batch 10120/12277] loss=0.4328, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:08:01 [Epoch 3 Batch 10130/12277] loss=0.4010, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:08:03 [Epoch 3 Batch 10140/12277] loss=0.3941, lr=0.0000065, metrics:accuracy:0.8463
INFO:root:12:08:04 [Epoch 3 Batch 10150/12277] loss=0.4364, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:06 [Epoch 3 Batch 10160/12277] loss=0.4084, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:08 [Epoch 3 Batch 10170/12277] loss=0.4080, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:09 [Epoch 3 Batch 10180/12277] loss=0.4362, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:11 [Epoch 3 Batch 10190/12277] loss=0.4518, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:12 [Epoch 3 Batch 10200/12277] loss=0.4264, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:14 [Epoch 3 Batch 10210/12277] loss=0.4517, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:16 [Epoch 3 Batch 10220/12277] loss=0.4363, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:17 [Epoch 3 Batch 10230/12277] loss=0.4193, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:19 [Epoch 3 Batch 10240/12277] loss=0.3651, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:21 [Epoch 3 Batch 10250/12277] loss=0.4592, lr=0.0000065, metrics:accuracy:0.8461
INFO:root:12:08:23 [Epoch 3 Batch 10260/12277] loss=0.4015, lr=0.0000065, metrics:accuracy:0.8461
INFO:root:12:08:24 [Epoch 3 Batch 10270/12277] loss=0.3663, lr=0.0000065, metrics:accuracy:0.8462
INFO:root:12:08:26 [Epoch 3 Batch 10280/12277] loss=0.4038, lr=0.0000065, metrics:accuracy:0.8461
INFO:root:12:08:27 [Epoch 3 Batch 10290/12277] loss=0.3392, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:29 [Epoch 3 Batch 10300/12277] loss=0.4112, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:30 [Epoch 3 Batch 10310/12277] loss=0.4217, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:32 [Epoch 3 Batch 10320/12277] loss=0.3439, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:33 [Epoch 3 Batch 10330/12277] loss=0.3724, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:35 [Epoch 3 Batch 10340/12277] loss=0.3785, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:36 [Epoch 3 Batch 10350/12277] loss=0.4091, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:38 [Epoch 3 Batch 10360/12277] loss=0.4264, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:40 [Epoch 3 Batch 10370/12277] loss=0.3647, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:41 [Epoch 3 Batch 10380/12277] loss=0.4107, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:43 [Epoch 3 Batch 10390/12277] loss=0.4039, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:44 [Epoch 3 Batch 10400/12277] loss=0.4654, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:46 [Epoch 3 Batch 10410/12277] loss=0.4281, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:08:48 [Epoch 3 Batch 10420/12277] loss=0.4226, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:49 [Epoch 3 Batch 10430/12277] loss=0.3617, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:51 [Epoch 3 Batch 10440/12277] loss=0.3362, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:52 [Epoch 3 Batch 10450/12277] loss=0.4666, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:54 [Epoch 3 Batch 10460/12277] loss=0.4330, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:56 [Epoch 3 Batch 10470/12277] loss=0.4104, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:57 [Epoch 3 Batch 10480/12277] loss=0.4223, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:08:59 [Epoch 3 Batch 10490/12277] loss=0.4579, lr=0.0000064, metrics:accuracy:0.8462
INFO:root:12:09:00 [Epoch 3 Batch 10500/12277] loss=0.3446, lr=0.0000064, metrics:accuracy:0.8463
INFO:root:12:09:02 [Epoch 3 Batch 10510/12277] loss=0.4639, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:03 [Epoch 3 Batch 10520/12277] loss=0.4900, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:05 [Epoch 3 Batch 10530/12277] loss=0.4393, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:06 [Epoch 3 Batch 10540/12277] loss=0.3365, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:08 [Epoch 3 Batch 10550/12277] loss=0.4188, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:10 [Epoch 3 Batch 10560/12277] loss=0.4625, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:12 [Epoch 3 Batch 10570/12277] loss=0.4036, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:13 [Epoch 3 Batch 10580/12277] loss=0.3553, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:15 [Epoch 3 Batch 10590/12277] loss=0.4356, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:17 [Epoch 3 Batch 10600/12277] loss=0.4499, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:19 [Epoch 3 Batch 10610/12277] loss=0.4199, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:21 [Epoch 3 Batch 10620/12277] loss=0.3850, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:23 [Epoch 3 Batch 10630/12277] loss=0.4901, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:24 [Epoch 3 Batch 10640/12277] loss=0.4373, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:26 [Epoch 3 Batch 10650/12277] loss=0.3391, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:27 [Epoch 3 Batch 10660/12277] loss=0.3706, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:29 [Epoch 3 Batch 10670/12277] loss=0.4019, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:31 [Epoch 3 Batch 10680/12277] loss=0.3490, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:32 [Epoch 3 Batch 10690/12277] loss=0.4614, lr=0.0000063, metrics:accuracy:0.8462
INFO:root:12:09:34 [Epoch 3 Batch 10700/12277] loss=0.4636, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:36 [Epoch 3 Batch 10710/12277] loss=0.4810, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:38 [Epoch 3 Batch 10720/12277] loss=0.4694, lr=0.0000063, metrics:accuracy:0.8461
INFO:root:12:09:39 [Epoch 3 Batch 10730/12277] loss=0.4321, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:41 [Epoch 3 Batch 10740/12277] loss=0.3616, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:42 [Epoch 3 Batch 10750/12277] loss=0.3656, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:44 [Epoch 3 Batch 10760/12277] loss=0.4451, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:45 [Epoch 3 Batch 10770/12277] loss=0.3402, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:47 [Epoch 3 Batch 10780/12277] loss=0.3421, lr=0.0000062, metrics:accuracy:0.8462
INFO:root:12:09:48 [Epoch 3 Batch 10790/12277] loss=0.4145, lr=0.0000062, metrics:accuracy:0.8462
INFO:root:12:09:50 [Epoch 3 Batch 10800/12277] loss=0.4464, lr=0.0000062, metrics:accuracy:0.8462
INFO:root:12:09:51 [Epoch 3 Batch 10810/12277] loss=0.3905, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:53 [Epoch 3 Batch 10820/12277] loss=0.4319, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:55 [Epoch 3 Batch 10830/12277] loss=0.3942, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:57 [Epoch 3 Batch 10840/12277] loss=0.4565, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:09:58 [Epoch 3 Batch 10850/12277] loss=0.4889, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:00 [Epoch 3 Batch 10860/12277] loss=0.3929, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:01 [Epoch 3 Batch 10870/12277] loss=0.3923, lr=0.0000062, metrics:accuracy:0.8460
INFO:root:12:10:03 [Epoch 3 Batch 10880/12277] loss=0.3662, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:05 [Epoch 3 Batch 10890/12277] loss=0.4117, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:07 [Epoch 3 Batch 10900/12277] loss=0.3450, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:09 [Epoch 3 Batch 10910/12277] loss=0.3897, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:11 [Epoch 3 Batch 10920/12277] loss=0.3762, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:12 [Epoch 3 Batch 10930/12277] loss=0.4163, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:14 [Epoch 3 Batch 10940/12277] loss=0.3852, lr=0.0000062, metrics:accuracy:0.8461
INFO:root:12:10:16 [Epoch 3 Batch 10950/12277] loss=0.3918, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:17 [Epoch 3 Batch 10960/12277] loss=0.4672, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:19 [Epoch 3 Batch 10970/12277] loss=0.4067, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:21 [Epoch 3 Batch 10980/12277] loss=0.4150, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:22 [Epoch 3 Batch 10990/12277] loss=0.3607, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:24 [Epoch 3 Batch 11000/12277] loss=0.4879, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:26 [Epoch 3 Batch 11010/12277] loss=0.3374, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:27 [Epoch 3 Batch 11020/12277] loss=0.4640, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:29 [Epoch 3 Batch 11030/12277] loss=0.4259, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:30 [Epoch 3 Batch 11040/12277] loss=0.4166, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:32 [Epoch 3 Batch 11050/12277] loss=0.4472, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:34 [Epoch 3 Batch 11060/12277] loss=0.3958, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:35 [Epoch 3 Batch 11070/12277] loss=0.3878, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:37 [Epoch 3 Batch 11080/12277] loss=0.4666, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:39 [Epoch 3 Batch 11090/12277] loss=0.3615, lr=0.0000061, metrics:accuracy:0.8461
INFO:root:12:10:40 [Epoch 3 Batch 11100/12277] loss=0.4398, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:42 [Epoch 3 Batch 11110/12277] loss=0.4025, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:44 [Epoch 3 Batch 11120/12277] loss=0.4034, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:45 [Epoch 3 Batch 11130/12277] loss=0.4047, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:47 [Epoch 3 Batch 11140/12277] loss=0.3851, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:49 [Epoch 3 Batch 11150/12277] loss=0.4424, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:50 [Epoch 3 Batch 11160/12277] loss=0.3844, lr=0.0000061, metrics:accuracy:0.8460
INFO:root:12:10:52 [Epoch 3 Batch 11170/12277] loss=0.3877, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:10:54 [Epoch 3 Batch 11180/12277] loss=0.5316, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:10:56 [Epoch 3 Batch 11190/12277] loss=0.4106, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:10:58 [Epoch 3 Batch 11200/12277] loss=0.3670, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:10:59 [Epoch 3 Batch 11210/12277] loss=0.3836, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:01 [Epoch 3 Batch 11220/12277] loss=0.4266, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:03 [Epoch 3 Batch 11230/12277] loss=0.5358, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:04 [Epoch 3 Batch 11240/12277] loss=0.4032, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:05 [Epoch 3 Batch 11250/12277] loss=0.3143, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:07 [Epoch 3 Batch 11260/12277] loss=0.4421, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:09 [Epoch 3 Batch 11270/12277] loss=0.4885, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:10 [Epoch 3 Batch 11280/12277] loss=0.3732, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:12 [Epoch 3 Batch 11290/12277] loss=0.4154, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:14 [Epoch 3 Batch 11300/12277] loss=0.4594, lr=0.0000060, metrics:accuracy:0.8460
INFO:root:12:11:16 [Epoch 3 Batch 11310/12277] loss=0.4279, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:18 [Epoch 3 Batch 11320/12277] loss=0.4832, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:19 [Epoch 3 Batch 11330/12277] loss=0.3595, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:21 [Epoch 3 Batch 11340/12277] loss=0.3400, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:23 [Epoch 3 Batch 11350/12277] loss=0.4610, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:25 [Epoch 3 Batch 11360/12277] loss=0.3575, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:26 [Epoch 3 Batch 11370/12277] loss=0.3343, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:28 [Epoch 3 Batch 11380/12277] loss=0.3792, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:30 [Epoch 3 Batch 11390/12277] loss=0.4030, lr=0.0000060, metrics:accuracy:0.8459
INFO:root:12:11:32 [Epoch 3 Batch 11400/12277] loss=0.3880, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:33 [Epoch 3 Batch 11410/12277] loss=0.3748, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:35 [Epoch 3 Batch 11420/12277] loss=0.4119, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:37 [Epoch 3 Batch 11430/12277] loss=0.4466, lr=0.0000059, metrics:accuracy:0.8459
INFO:root:12:11:39 [Epoch 3 Batch 11440/12277] loss=0.3707, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:41 [Epoch 3 Batch 11450/12277] loss=0.4027, lr=0.0000059, metrics:accuracy:0.8459
INFO:root:12:11:42 [Epoch 3 Batch 11460/12277] loss=0.3521, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:44 [Epoch 3 Batch 11470/12277] loss=0.4875, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:46 [Epoch 3 Batch 11480/12277] loss=0.4548, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:47 [Epoch 3 Batch 11490/12277] loss=0.3643, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:49 [Epoch 3 Batch 11500/12277] loss=0.3710, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:50 [Epoch 3 Batch 11510/12277] loss=0.3759, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:52 [Epoch 3 Batch 11520/12277] loss=0.3431, lr=0.0000059, metrics:accuracy:0.8461
INFO:root:12:11:54 [Epoch 3 Batch 11530/12277] loss=0.5102, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:55 [Epoch 3 Batch 11540/12277] loss=0.3126, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:57 [Epoch 3 Batch 11550/12277] loss=0.4869, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:11:59 [Epoch 3 Batch 11560/12277] loss=0.3877, lr=0.0000059, metrics:accuracy:0.8461
INFO:root:12:12:00 [Epoch 3 Batch 11570/12277] loss=0.4768, lr=0.0000059, metrics:accuracy:0.8460
INFO:root:12:12:02 [Epoch 3 Batch 11580/12277] loss=0.3513, lr=0.0000059, metrics:accuracy:0.8461
INFO:root:12:12:04 [Epoch 3 Batch 11590/12277] loss=0.3940, lr=0.0000059, metrics:accuracy:0.8461
INFO:root:12:12:06 [Epoch 3 Batch 11600/12277] loss=0.4063, lr=0.0000059, metrics:accuracy:0.8461
INFO:root:12:12:07 [Epoch 3 Batch 11610/12277] loss=0.3795, lr=0.0000059, metrics:accuracy:0.8461
INFO:root:12:12:09 [Epoch 3 Batch 11620/12277] loss=0.4244, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:10 [Epoch 3 Batch 11630/12277] loss=0.4702, lr=0.0000058, metrics:accuracy:0.8460
INFO:root:12:12:12 [Epoch 3 Batch 11640/12277] loss=0.4186, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:14 [Epoch 3 Batch 11650/12277] loss=0.4254, lr=0.0000058, metrics:accuracy:0.8460
INFO:root:12:12:16 [Epoch 3 Batch 11660/12277] loss=0.3571, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:17 [Epoch 3 Batch 11670/12277] loss=0.4349, lr=0.0000058, metrics:accuracy:0.8460
INFO:root:12:12:19 [Epoch 3 Batch 11680/12277] loss=0.4007, lr=0.0000058, metrics:accuracy:0.8460
INFO:root:12:12:20 [Epoch 3 Batch 11690/12277] loss=0.3567, lr=0.0000058, metrics:accuracy:0.8460
INFO:root:12:12:22 [Epoch 3 Batch 11700/12277] loss=0.3356, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:24 [Epoch 3 Batch 11710/12277] loss=0.3527, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:25 [Epoch 3 Batch 11720/12277] loss=0.4233, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:27 [Epoch 3 Batch 11730/12277] loss=0.4166, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:29 [Epoch 3 Batch 11740/12277] loss=0.4217, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:31 [Epoch 3 Batch 11750/12277] loss=0.3443, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:32 [Epoch 3 Batch 11760/12277] loss=0.3786, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:34 [Epoch 3 Batch 11770/12277] loss=0.4077, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:36 [Epoch 3 Batch 11780/12277] loss=0.3473, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:38 [Epoch 3 Batch 11790/12277] loss=0.4523, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:39 [Epoch 3 Batch 11800/12277] loss=0.4358, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:41 [Epoch 3 Batch 11810/12277] loss=0.3344, lr=0.0000058, metrics:accuracy:0.8461
INFO:root:12:12:43 [Epoch 3 Batch 11820/12277] loss=0.3287, lr=0.0000058, metrics:accuracy:0.8462
INFO:root:12:12:44 [Epoch 3 Batch 11830/12277] loss=0.3731, lr=0.0000058, metrics:accuracy:0.8462
INFO:root:12:12:46 [Epoch 3 Batch 11840/12277] loss=0.4553, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:12:47 [Epoch 3 Batch 11850/12277] loss=0.4036, lr=0.0000057, metrics:accuracy:0.8461
INFO:root:12:12:49 [Epoch 3 Batch 11860/12277] loss=0.4286, lr=0.0000057, metrics:accuracy:0.8461
INFO:root:12:12:50 [Epoch 3 Batch 11870/12277] loss=0.4613, lr=0.0000057, metrics:accuracy:0.8461
INFO:root:12:12:52 [Epoch 3 Batch 11880/12277] loss=0.3908, lr=0.0000057, metrics:accuracy:0.8461
INFO:root:12:12:53 [Epoch 3 Batch 11890/12277] loss=0.3884, lr=0.0000057, metrics:accuracy:0.8461
INFO:root:12:12:55 [Epoch 3 Batch 11900/12277] loss=0.3608, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:12:56 [Epoch 3 Batch 11910/12277] loss=0.3531, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:12:58 [Epoch 3 Batch 11920/12277] loss=0.3674, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:00 [Epoch 3 Batch 11930/12277] loss=0.3748, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:02 [Epoch 3 Batch 11940/12277] loss=0.4427, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:03 [Epoch 3 Batch 11950/12277] loss=0.3803, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:05 [Epoch 3 Batch 11960/12277] loss=0.4608, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:06 [Epoch 3 Batch 11970/12277] loss=0.3858, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:08 [Epoch 3 Batch 11980/12277] loss=0.3242, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:10 [Epoch 3 Batch 11990/12277] loss=0.4926, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:12 [Epoch 3 Batch 12000/12277] loss=0.3853, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:13 [Epoch 3 Batch 12010/12277] loss=0.3824, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:15 [Epoch 3 Batch 12020/12277] loss=0.3681, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:17 [Epoch 3 Batch 12030/12277] loss=0.4555, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:18 [Epoch 3 Batch 12040/12277] loss=0.4352, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:20 [Epoch 3 Batch 12050/12277] loss=0.4149, lr=0.0000057, metrics:accuracy:0.8462
INFO:root:12:13:22 [Epoch 3 Batch 12060/12277] loss=0.4092, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:23 [Epoch 3 Batch 12070/12277] loss=0.4065, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:24 [Epoch 3 Batch 12080/12277] loss=0.3880, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:26 [Epoch 3 Batch 12090/12277] loss=0.4513, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:28 [Epoch 3 Batch 12100/12277] loss=0.3964, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:29 [Epoch 3 Batch 12110/12277] loss=0.3499, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:31 [Epoch 3 Batch 12120/12277] loss=0.4310, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:33 [Epoch 3 Batch 12130/12277] loss=0.4689, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:34 [Epoch 3 Batch 12140/12277] loss=0.3966, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:36 [Epoch 3 Batch 12150/12277] loss=0.3977, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:37 [Epoch 3 Batch 12160/12277] loss=0.4079, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:39 [Epoch 3 Batch 12170/12277] loss=0.4041, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:41 [Epoch 3 Batch 12180/12277] loss=0.4756, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:42 [Epoch 3 Batch 12190/12277] loss=0.3672, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:44 [Epoch 3 Batch 12200/12277] loss=0.4473, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:46 [Epoch 3 Batch 12210/12277] loss=0.4302, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:47 [Epoch 3 Batch 12220/12277] loss=0.3783, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:49 [Epoch 3 Batch 12230/12277] loss=0.3854, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:50 [Epoch 3 Batch 12240/12277] loss=0.4464, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:52 [Epoch 3 Batch 12250/12277] loss=0.3782, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:54 [Epoch 3 Batch 12260/12277] loss=0.4042, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:55 [Epoch 3 Batch 12270/12277] loss=0.3633, lr=0.0000056, metrics:accuracy:0.8462
INFO:root:12:13:57 Now we are doing evaluation on dev with gpu(0).
INFO:root:12:13:57 [Batch 10/312] loss=0.3975, metrics:accuracy:0.8750
INFO:root:12:13:57 [Batch 20/312] loss=0.5602, metrics:accuracy:0.8375
INFO:root:12:13:57 [Batch 30/312] loss=0.6483, metrics:accuracy:0.8208
INFO:root:12:13:57 [Batch 40/312] loss=0.6506, metrics:accuracy:0.8031
INFO:root:12:13:57 [Batch 50/312] loss=0.5791, metrics:accuracy:0.7975
INFO:root:12:13:58 [Batch 60/312] loss=0.5413, metrics:accuracy:0.7979
INFO:root:12:13:58 [Batch 70/312] loss=0.5335, metrics:accuracy:0.8000
INFO:root:12:13:58 [Batch 80/312] loss=0.7250, metrics:accuracy:0.7984
INFO:root:12:13:58 [Batch 90/312] loss=0.8377, metrics:accuracy:0.7944
INFO:root:12:13:58 [Batch 100/312] loss=0.6296, metrics:accuracy:0.7950
INFO:root:12:13:59 [Batch 110/312] loss=0.4872, metrics:accuracy:0.7955
INFO:root:12:13:59 [Batch 120/312] loss=0.6857, metrics:accuracy:0.7937
INFO:root:12:13:59 [Batch 130/312] loss=0.6065, metrics:accuracy:0.7913
INFO:root:12:13:59 [Batch 140/312] loss=0.5256, metrics:accuracy:0.7902
INFO:root:12:13:59 [Batch 150/312] loss=0.9041, metrics:accuracy:0.7858
INFO:root:12:14:00 [Batch 160/312] loss=0.5589, metrics:accuracy:0.7852
INFO:root:12:14:00 [Batch 170/312] loss=0.4887, metrics:accuracy:0.7875
INFO:root:12:14:00 [Batch 180/312] loss=0.5867, metrics:accuracy:0.7875
INFO:root:12:14:00 [Batch 190/312] loss=0.6888, metrics:accuracy:0.7862
INFO:root:12:14:00 [Batch 200/312] loss=0.9203, metrics:accuracy:0.7806
INFO:root:12:14:00 [Batch 210/312] loss=0.6242, metrics:accuracy:0.7804
INFO:root:12:14:01 [Batch 220/312] loss=0.4685, metrics:accuracy:0.7807
INFO:root:12:14:01 [Batch 230/312] loss=0.5467, metrics:accuracy:0.7793
INFO:root:12:14:01 [Batch 240/312] loss=0.4735, metrics:accuracy:0.7807
INFO:root:12:14:01 [Batch 250/312] loss=0.5509, metrics:accuracy:0.7825
INFO:root:12:14:01 [Batch 260/312] loss=0.7097, metrics:accuracy:0.7803
INFO:root:12:14:02 [Batch 270/312] loss=0.4933, metrics:accuracy:0.7815
INFO:root:12:14:02 [Batch 280/312] loss=0.5864, metrics:accuracy:0.7804
INFO:root:12:14:02 [Batch 290/312] loss=0.8251, metrics:accuracy:0.7754
INFO:root:12:14:02 [Batch 300/312] loss=0.7186, metrics:accuracy:0.7762
INFO:root:12:14:02 [Batch 310/312] loss=0.7012, metrics:accuracy:0.7742
INFO:root:12:14:02 validation metrics:accuracy:0.7747
INFO:root:12:14:02 Time cost=5.89s, throughput=423.77 samples/s
INFO:root:12:14:03 params saved in: ./output_dir/model_bert_XNLI_2.params
INFO:root:12:14:03 Time cost=2016.74s
INFO:root:12:14:04 [Epoch 4 Batch 10/12277] loss=0.2418, lr=0.0000055, metrics:accuracy:0.9219
INFO:root:12:14:06 [Epoch 4 Batch 20/12277] loss=0.3310, lr=0.0000055, metrics:accuracy:0.9094
INFO:root:12:14:08 [Epoch 4 Batch 30/12277] loss=0.3070, lr=0.0000055, metrics:accuracy:0.9031
INFO:root:12:14:10 [Epoch 4 Batch 40/12277] loss=0.2959, lr=0.0000055, metrics:accuracy:0.8977
INFO:root:12:14:12 [Epoch 4 Batch 50/12277] loss=0.3472, lr=0.0000055, metrics:accuracy:0.8950
INFO:root:12:14:13 [Epoch 4 Batch 60/12277] loss=0.2411, lr=0.0000055, metrics:accuracy:0.8969
INFO:root:12:14:15 [Epoch 4 Batch 70/12277] loss=0.3091, lr=0.0000055, metrics:accuracy:0.8964
INFO:root:12:14:17 [Epoch 4 Batch 80/12277] loss=0.3016, lr=0.0000055, metrics:accuracy:0.8957
INFO:root:12:14:18 [Epoch 4 Batch 90/12277] loss=0.3967, lr=0.0000055, metrics:accuracy:0.8911
INFO:root:12:14:20 [Epoch 4 Batch 100/12277] loss=0.3667, lr=0.0000055, metrics:accuracy:0.8882
INFO:root:12:14:21 [Epoch 4 Batch 110/12277] loss=0.3184, lr=0.0000055, metrics:accuracy:0.8876
INFO:root:12:14:23 [Epoch 4 Batch 120/12277] loss=0.3908, lr=0.0000055, metrics:accuracy:0.8847
INFO:root:12:14:25 [Epoch 4 Batch 130/12277] loss=0.3784, lr=0.0000055, metrics:accuracy:0.8818
INFO:root:12:14:26 [Epoch 4 Batch 140/12277] loss=0.3483, lr=0.0000055, metrics:accuracy:0.8815
INFO:root:12:14:27 [Epoch 4 Batch 150/12277] loss=0.3553, lr=0.0000055, metrics:accuracy:0.8815
INFO:root:12:14:29 [Epoch 4 Batch 160/12277] loss=0.2901, lr=0.0000055, metrics:accuracy:0.8833
INFO:root:12:14:31 [Epoch 4 Batch 170/12277] loss=0.3698, lr=0.0000055, metrics:accuracy:0.8815
INFO:root:12:14:32 [Epoch 4 Batch 180/12277] loss=0.3008, lr=0.0000055, metrics:accuracy:0.8818
INFO:root:12:14:34 [Epoch 4 Batch 190/12277] loss=0.3089, lr=0.0000055, metrics:accuracy:0.8829
INFO:root:12:14:36 [Epoch 4 Batch 200/12277] loss=0.3381, lr=0.0000055, metrics:accuracy:0.8819
INFO:root:12:14:38 [Epoch 4 Batch 210/12277] loss=0.2916, lr=0.0000055, metrics:accuracy:0.8837
INFO:root:12:14:39 [Epoch 4 Batch 220/12277] loss=0.3036, lr=0.0000054, metrics:accuracy:0.8844
INFO:root:12:14:41 [Epoch 4 Batch 230/12277] loss=0.3165, lr=0.0000054, metrics:accuracy:0.8843
INFO:root:12:14:43 [Epoch 4 Batch 240/12277] loss=0.2894, lr=0.0000054, metrics:accuracy:0.8852
INFO:root:12:14:44 [Epoch 4 Batch 250/12277] loss=0.2572, lr=0.0000054, metrics:accuracy:0.8863
INFO:root:12:14:46 [Epoch 4 Batch 260/12277] loss=0.2811, lr=0.0000054, metrics:accuracy:0.8868
INFO:root:12:14:48 [Epoch 4 Batch 270/12277] loss=0.2962, lr=0.0000054, metrics:accuracy:0.8867
INFO:root:12:14:49 [Epoch 4 Batch 280/12277] loss=0.3688, lr=0.0000054, metrics:accuracy:0.8864
INFO:root:12:14:51 [Epoch 4 Batch 290/12277] loss=0.3044, lr=0.0000054, metrics:accuracy:0.8870
INFO:root:12:14:53 [Epoch 4 Batch 300/12277] loss=0.3212, lr=0.0000054, metrics:accuracy:0.8872
INFO:root:12:14:55 [Epoch 4 Batch 310/12277] loss=0.3302, lr=0.0000054, metrics:accuracy:0.8874
INFO:root:12:14:56 [Epoch 4 Batch 320/12277] loss=0.3663, lr=0.0000054, metrics:accuracy:0.8864
INFO:root:12:14:57 [Epoch 4 Batch 330/12277] loss=0.2715, lr=0.0000054, metrics:accuracy:0.8864
INFO:root:12:14:59 [Epoch 4 Batch 340/12277] loss=0.3055, lr=0.0000054, metrics:accuracy:0.8864
INFO:root:12:15:01 [Epoch 4 Batch 350/12277] loss=0.3478, lr=0.0000054, metrics:accuracy:0.8857
INFO:root:12:15:02 [Epoch 4 Batch 360/12277] loss=0.3113, lr=0.0000054, metrics:accuracy:0.8854
INFO:root:12:15:04 [Epoch 4 Batch 370/12277] loss=0.3327, lr=0.0000054, metrics:accuracy:0.8851
INFO:root:12:15:05 [Epoch 4 Batch 380/12277] loss=0.2950, lr=0.0000054, metrics:accuracy:0.8851
INFO:root:12:15:07 [Epoch 4 Batch 390/12277] loss=0.2544, lr=0.0000054, metrics:accuracy:0.8859
INFO:root:12:15:09 [Epoch 4 Batch 400/12277] loss=0.2985, lr=0.0000054, metrics:accuracy:0.8858
INFO:root:12:15:10 [Epoch 4 Batch 410/12277] loss=0.3946, lr=0.0000054, metrics:accuracy:0.8852
INFO:root:12:15:12 [Epoch 4 Batch 420/12277] loss=0.2992, lr=0.0000054, metrics:accuracy:0.8854
INFO:root:12:15:14 [Epoch 4 Batch 430/12277] loss=0.3182, lr=0.0000054, metrics:accuracy:0.8852
INFO:root:12:15:15 [Epoch 4 Batch 440/12277] loss=0.3674, lr=0.0000053, metrics:accuracy:0.8847
INFO:root:12:15:17 [Epoch 4 Batch 450/12277] loss=0.3782, lr=0.0000053, metrics:accuracy:0.8841
INFO:root:12:15:18 [Epoch 4 Batch 460/12277] loss=0.2761, lr=0.0000053, metrics:accuracy:0.8847
INFO:root:12:15:20 [Epoch 4 Batch 470/12277] loss=0.3248, lr=0.0000053, metrics:accuracy:0.8843
INFO:root:12:15:21 [Epoch 4 Batch 480/12277] loss=0.2729, lr=0.0000053, metrics:accuracy:0.8847
INFO:root:12:15:23 [Epoch 4 Batch 490/12277] loss=0.2462, lr=0.0000053, metrics:accuracy:0.8854
INFO:root:12:15:24 [Epoch 4 Batch 500/12277] loss=0.2783, lr=0.0000053, metrics:accuracy:0.8858
INFO:root:12:15:26 [Epoch 4 Batch 510/12277] loss=0.3813, lr=0.0000053, metrics:accuracy:0.8852
INFO:root:12:15:28 [Epoch 4 Batch 520/12277] loss=0.2436, lr=0.0000053, metrics:accuracy:0.8858
INFO:root:12:15:29 [Epoch 4 Batch 530/12277] loss=0.2391, lr=0.0000053, metrics:accuracy:0.8865
INFO:root:12:15:30 [Epoch 4 Batch 540/12277] loss=0.2901, lr=0.0000053, metrics:accuracy:0.8866
INFO:root:12:15:32 [Epoch 4 Batch 550/12277] loss=0.2661, lr=0.0000053, metrics:accuracy:0.8867
INFO:root:12:15:34 [Epoch 4 Batch 560/12277] loss=0.2836, lr=0.0000053, metrics:accuracy:0.8870
INFO:root:12:15:35 [Epoch 4 Batch 570/12277] loss=0.3093, lr=0.0000053, metrics:accuracy:0.8871
INFO:root:12:15:37 [Epoch 4 Batch 580/12277] loss=0.4128, lr=0.0000053, metrics:accuracy:0.8864
INFO:root:12:15:38 [Epoch 4 Batch 590/12277] loss=0.3178, lr=0.0000053, metrics:accuracy:0.8865
INFO:root:12:15:40 [Epoch 4 Batch 600/12277] loss=0.2365, lr=0.0000053, metrics:accuracy:0.8870
INFO:root:12:15:42 [Epoch 4 Batch 610/12277] loss=0.2659, lr=0.0000053, metrics:accuracy:0.8871
INFO:root:12:15:44 [Epoch 4 Batch 620/12277] loss=0.2850, lr=0.0000053, metrics:accuracy:0.8871
INFO:root:12:15:45 [Epoch 4 Batch 630/12277] loss=0.3058, lr=0.0000053, metrics:accuracy:0.8873
INFO:root:12:15:47 [Epoch 4 Batch 640/12277] loss=0.2642, lr=0.0000053, metrics:accuracy:0.8876
INFO:root:12:15:48 [Epoch 4 Batch 650/12277] loss=0.3651, lr=0.0000053, metrics:accuracy:0.8876
INFO:root:12:15:50 [Epoch 4 Batch 660/12277] loss=0.3311, lr=0.0000053, metrics:accuracy:0.8872
INFO:root:12:15:52 [Epoch 4 Batch 670/12277] loss=0.3209, lr=0.0000052, metrics:accuracy:0.8872
INFO:root:12:15:54 [Epoch 4 Batch 680/12277] loss=0.3243, lr=0.0000052, metrics:accuracy:0.8869
INFO:root:12:15:56 [Epoch 4 Batch 690/12277] loss=0.3168, lr=0.0000052, metrics:accuracy:0.8869
INFO:root:12:15:57 [Epoch 4 Batch 700/12277] loss=0.2859, lr=0.0000052, metrics:accuracy:0.8870
INFO:root:12:15:59 [Epoch 4 Batch 710/12277] loss=0.3533, lr=0.0000052, metrics:accuracy:0.8871
INFO:root:12:16:00 [Epoch 4 Batch 720/12277] loss=0.4048, lr=0.0000052, metrics:accuracy:0.8866
INFO:root:12:16:02 [Epoch 4 Batch 730/12277] loss=0.2731, lr=0.0000052, metrics:accuracy:0.8868
INFO:root:12:16:03 [Epoch 4 Batch 740/12277] loss=0.3645, lr=0.0000052, metrics:accuracy:0.8865
INFO:root:12:16:05 [Epoch 4 Batch 750/12277] loss=0.2842, lr=0.0000052, metrics:accuracy:0.8867
INFO:root:12:16:07 [Epoch 4 Batch 760/12277] loss=0.3235, lr=0.0000052, metrics:accuracy:0.8866
INFO:root:12:16:08 [Epoch 4 Batch 770/12277] loss=0.2882, lr=0.0000052, metrics:accuracy:0.8870
INFO:root:12:16:10 [Epoch 4 Batch 780/12277] loss=0.3926, lr=0.0000052, metrics:accuracy:0.8864
INFO:root:12:16:12 [Epoch 4 Batch 790/12277] loss=0.3142, lr=0.0000052, metrics:accuracy:0.8863
INFO:root:12:16:13 [Epoch 4 Batch 800/12277] loss=0.4095, lr=0.0000052, metrics:accuracy:0.8858
INFO:root:12:16:15 [Epoch 4 Batch 810/12277] loss=0.3303, lr=0.0000052, metrics:accuracy:0.8859
INFO:root:12:16:17 [Epoch 4 Batch 820/12277] loss=0.3040, lr=0.0000052, metrics:accuracy:0.8859
INFO:root:12:16:19 [Epoch 4 Batch 830/12277] loss=0.3583, lr=0.0000052, metrics:accuracy:0.8859
INFO:root:12:16:20 [Epoch 4 Batch 840/12277] loss=0.2507, lr=0.0000052, metrics:accuracy:0.8862
INFO:root:12:16:22 [Epoch 4 Batch 850/12277] loss=0.2553, lr=0.0000052, metrics:accuracy:0.8863
INFO:root:12:16:23 [Epoch 4 Batch 860/12277] loss=0.2824, lr=0.0000052, metrics:accuracy:0.8865
INFO:root:12:16:25 [Epoch 4 Batch 870/12277] loss=0.4218, lr=0.0000052, metrics:accuracy:0.8860
INFO:root:12:16:27 [Epoch 4 Batch 880/12277] loss=0.3053, lr=0.0000052, metrics:accuracy:0.8861
INFO:root:12:16:28 [Epoch 4 Batch 890/12277] loss=0.3210, lr=0.0000051, metrics:accuracy:0.8860
INFO:root:12:16:30 [Epoch 4 Batch 900/12277] loss=0.3051, lr=0.0000051, metrics:accuracy:0.8862
INFO:root:12:16:31 [Epoch 4 Batch 910/12277] loss=0.3103, lr=0.0000051, metrics:accuracy:0.8862
INFO:root:12:16:33 [Epoch 4 Batch 920/12277] loss=0.3233, lr=0.0000051, metrics:accuracy:0.8860
INFO:root:12:16:35 [Epoch 4 Batch 930/12277] loss=0.3034, lr=0.0000051, metrics:accuracy:0.8860
INFO:root:12:16:36 [Epoch 4 Batch 940/12277] loss=0.2993, lr=0.0000051, metrics:accuracy:0.8860
INFO:root:12:16:38 [Epoch 4 Batch 950/12277] loss=0.3987, lr=0.0000051, metrics:accuracy:0.8858
INFO:root:12:16:40 [Epoch 4 Batch 960/12277] loss=0.3270, lr=0.0000051, metrics:accuracy:0.8858
INFO:root:12:16:41 [Epoch 4 Batch 970/12277] loss=0.3538, lr=0.0000051, metrics:accuracy:0.8857
INFO:root:12:16:43 [Epoch 4 Batch 980/12277] loss=0.3584, lr=0.0000051, metrics:accuracy:0.8857
INFO:root:12:16:45 [Epoch 4 Batch 990/12277] loss=0.2726, lr=0.0000051, metrics:accuracy:0.8859
INFO:root:12:16:46 [Epoch 4 Batch 1000/12277] loss=0.3587, lr=0.0000051, metrics:accuracy:0.8856
INFO:root:12:16:48 [Epoch 4 Batch 1010/12277] loss=0.3231, lr=0.0000051, metrics:accuracy:0.8857
INFO:root:12:16:49 [Epoch 4 Batch 1020/12277] loss=0.2742, lr=0.0000051, metrics:accuracy:0.8857
INFO:root:12:16:51 [Epoch 4 Batch 1030/12277] loss=0.3316, lr=0.0000051, metrics:accuracy:0.8856
INFO:root:12:16:52 [Epoch 4 Batch 1040/12277] loss=0.3071, lr=0.0000051, metrics:accuracy:0.8858
INFO:root:12:16:54 [Epoch 4 Batch 1050/12277] loss=0.2715, lr=0.0000051, metrics:accuracy:0.8860
INFO:root:12:16:56 [Epoch 4 Batch 1060/12277] loss=0.3668, lr=0.0000051, metrics:accuracy:0.8859
INFO:root:12:16:57 [Epoch 4 Batch 1070/12277] loss=0.3153, lr=0.0000051, metrics:accuracy:0.8859
INFO:root:12:16:59 [Epoch 4 Batch 1080/12277] loss=0.3174, lr=0.0000051, metrics:accuracy:0.8858
INFO:root:12:17:01 [Epoch 4 Batch 1090/12277] loss=0.3010, lr=0.0000051, metrics:accuracy:0.8859
INFO:root:12:17:02 [Epoch 4 Batch 1100/12277] loss=0.3369, lr=0.0000051, metrics:accuracy:0.8858
INFO:root:12:17:04 [Epoch 4 Batch 1110/12277] loss=0.3167, lr=0.0000050, metrics:accuracy:0.8857
INFO:root:12:17:05 [Epoch 4 Batch 1120/12277] loss=0.2708, lr=0.0000050, metrics:accuracy:0.8859
INFO:root:12:17:07 [Epoch 4 Batch 1130/12277] loss=0.3322, lr=0.0000050, metrics:accuracy:0.8858
INFO:root:12:17:08 [Epoch 4 Batch 1140/12277] loss=0.3270, lr=0.0000050, metrics:accuracy:0.8858
INFO:root:12:17:10 [Epoch 4 Batch 1150/12277] loss=0.2734, lr=0.0000050, metrics:accuracy:0.8860
INFO:root:12:17:12 [Epoch 4 Batch 1160/12277] loss=0.2554, lr=0.0000050, metrics:accuracy:0.8863
INFO:root:12:17:13 [Epoch 4 Batch 1170/12277] loss=0.2016, lr=0.0000050, metrics:accuracy:0.8867
INFO:root:12:17:15 [Epoch 4 Batch 1180/12277] loss=0.3311, lr=0.0000050, metrics:accuracy:0.8867
INFO:root:12:17:16 [Epoch 4 Batch 1190/12277] loss=0.2566, lr=0.0000050, metrics:accuracy:0.8869
INFO:root:12:17:18 [Epoch 4 Batch 1200/12277] loss=0.3384, lr=0.0000050, metrics:accuracy:0.8869
INFO:root:12:17:20 [Epoch 4 Batch 1210/12277] loss=0.3393, lr=0.0000050, metrics:accuracy:0.8868
INFO:root:12:17:22 [Epoch 4 Batch 1220/12277] loss=0.4114, lr=0.0000050, metrics:accuracy:0.8865
INFO:root:12:17:23 [Epoch 4 Batch 1230/12277] loss=0.3596, lr=0.0000050, metrics:accuracy:0.8863
INFO:root:12:17:25 [Epoch 4 Batch 1240/12277] loss=0.3084, lr=0.0000050, metrics:accuracy:0.8863
INFO:root:12:17:27 [Epoch 4 Batch 1250/12277] loss=0.3105, lr=0.0000050, metrics:accuracy:0.8863
INFO:root:12:17:28 [Epoch 4 Batch 1260/12277] loss=0.2833, lr=0.0000050, metrics:accuracy:0.8863
INFO:root:12:17:30 [Epoch 4 Batch 1270/12277] loss=0.3602, lr=0.0000050, metrics:accuracy:0.8861
INFO:root:12:17:32 [Epoch 4 Batch 1280/12277] loss=0.2857, lr=0.0000050, metrics:accuracy:0.8862
INFO:root:12:17:33 [Epoch 4 Batch 1290/12277] loss=0.2866, lr=0.0000050, metrics:accuracy:0.8864
INFO:root:12:17:35 [Epoch 4 Batch 1300/12277] loss=0.3290, lr=0.0000050, metrics:accuracy:0.8864
INFO:root:12:17:37 [Epoch 4 Batch 1310/12277] loss=0.3328, lr=0.0000050, metrics:accuracy:0.8863
INFO:root:12:17:38 [Epoch 4 Batch 1320/12277] loss=0.3186, lr=0.0000050, metrics:accuracy:0.8862
INFO:root:12:17:40 [Epoch 4 Batch 1330/12277] loss=0.3358, lr=0.0000049, metrics:accuracy:0.8864
INFO:root:12:17:41 [Epoch 4 Batch 1340/12277] loss=0.2471, lr=0.0000049, metrics:accuracy:0.8865
INFO:root:12:17:43 [Epoch 4 Batch 1350/12277] loss=0.3551, lr=0.0000049, metrics:accuracy:0.8863
INFO:root:12:17:45 [Epoch 4 Batch 1360/12277] loss=0.2405, lr=0.0000049, metrics:accuracy:0.8867
INFO:root:12:17:46 [Epoch 4 Batch 1370/12277] loss=0.3246, lr=0.0000049, metrics:accuracy:0.8866
INFO:root:12:17:48 [Epoch 4 Batch 1380/12277] loss=0.3595, lr=0.0000049, metrics:accuracy:0.8864
INFO:root:12:17:50 [Epoch 4 Batch 1390/12277] loss=0.3451, lr=0.0000049, metrics:accuracy:0.8865
INFO:root:12:17:51 [Epoch 4 Batch 1400/12277] loss=0.3025, lr=0.0000049, metrics:accuracy:0.8864
INFO:root:12:17:53 [Epoch 4 Batch 1410/12277] loss=0.3127, lr=0.0000049, metrics:accuracy:0.8865
INFO:root:12:17:55 [Epoch 4 Batch 1420/12277] loss=0.3117, lr=0.0000049, metrics:accuracy:0.8864
INFO:root:12:17:56 [Epoch 4 Batch 1430/12277] loss=0.2927, lr=0.0000049, metrics:accuracy:0.8866
INFO:root:12:17:58 [Epoch 4 Batch 1440/12277] loss=0.3078, lr=0.0000049, metrics:accuracy:0.8866
INFO:root:12:17:59 [Epoch 4 Batch 1450/12277] loss=0.3545, lr=0.0000049, metrics:accuracy:0.8865
INFO:root:12:18:01 [Epoch 4 Batch 1460/12277] loss=0.3515, lr=0.0000049, metrics:accuracy:0.8864
INFO:root:12:18:03 [Epoch 4 Batch 1470/12277] loss=0.3078, lr=0.0000049, metrics:accuracy:0.8865
INFO:root:12:18:04 [Epoch 4 Batch 1480/12277] loss=0.2678, lr=0.0000049, metrics:accuracy:0.8866
INFO:root:12:18:06 [Epoch 4 Batch 1490/12277] loss=0.2876, lr=0.0000049, metrics:accuracy:0.8868
INFO:root:12:18:08 [Epoch 4 Batch 1500/12277] loss=0.2989, lr=0.0000049, metrics:accuracy:0.8868
INFO:root:12:18:10 [Epoch 4 Batch 1510/12277] loss=0.2865, lr=0.0000049, metrics:accuracy:0.8868
INFO:root:12:18:11 [Epoch 4 Batch 1520/12277] loss=0.2933, lr=0.0000049, metrics:accuracy:0.8869
INFO:root:12:18:13 [Epoch 4 Batch 1530/12277] loss=0.2875, lr=0.0000049, metrics:accuracy:0.8869
INFO:root:12:18:15 [Epoch 4 Batch 1540/12277] loss=0.2748, lr=0.0000049, metrics:accuracy:0.8870
INFO:root:12:18:16 [Epoch 4 Batch 1550/12277] loss=0.2876, lr=0.0000048, metrics:accuracy:0.8870
INFO:root:12:18:18 [Epoch 4 Batch 1560/12277] loss=0.3749, lr=0.0000048, metrics:accuracy:0.8870
INFO:root:12:18:20 [Epoch 4 Batch 1570/12277] loss=0.3435, lr=0.0000048, metrics:accuracy:0.8869
INFO:root:12:18:21 [Epoch 4 Batch 1580/12277] loss=0.3320, lr=0.0000048, metrics:accuracy:0.8869
INFO:root:12:18:23 [Epoch 4 Batch 1590/12277] loss=0.2515, lr=0.0000048, metrics:accuracy:0.8870
INFO:root:12:18:25 [Epoch 4 Batch 1600/12277] loss=0.3704, lr=0.0000048, metrics:accuracy:0.8868
INFO:root:12:18:26 [Epoch 4 Batch 1610/12277] loss=0.2960, lr=0.0000048, metrics:accuracy:0.8869
INFO:root:12:18:28 [Epoch 4 Batch 1620/12277] loss=0.2576, lr=0.0000048, metrics:accuracy:0.8871
INFO:root:12:18:29 [Epoch 4 Batch 1630/12277] loss=0.2592, lr=0.0000048, metrics:accuracy:0.8872
INFO:root:12:18:31 [Epoch 4 Batch 1640/12277] loss=0.3155, lr=0.0000048, metrics:accuracy:0.8872
INFO:root:12:18:32 [Epoch 4 Batch 1650/12277] loss=0.3370, lr=0.0000048, metrics:accuracy:0.8871
INFO:root:12:18:34 [Epoch 4 Batch 1660/12277] loss=0.2838, lr=0.0000048, metrics:accuracy:0.8872
INFO:root:12:18:36 [Epoch 4 Batch 1670/12277] loss=0.2657, lr=0.0000048, metrics:accuracy:0.8874
INFO:root:12:18:37 [Epoch 4 Batch 1680/12277] loss=0.2709, lr=0.0000048, metrics:accuracy:0.8874
INFO:root:12:18:39 [Epoch 4 Batch 1690/12277] loss=0.3373, lr=0.0000048, metrics:accuracy:0.8874
INFO:root:12:18:41 [Epoch 4 Batch 1700/12277] loss=0.3408, lr=0.0000048, metrics:accuracy:0.8874
INFO:root:12:18:42 [Epoch 4 Batch 1710/12277] loss=0.2663, lr=0.0000048, metrics:accuracy:0.8875
INFO:root:12:18:44 [Epoch 4 Batch 1720/12277] loss=0.3539, lr=0.0000048, metrics:accuracy:0.8873
INFO:root:12:18:45 [Epoch 4 Batch 1730/12277] loss=0.2431, lr=0.0000048, metrics:accuracy:0.8875
INFO:root:12:18:46 [Epoch 4 Batch 1740/12277] loss=0.2790, lr=0.0000048, metrics:accuracy:0.8876
INFO:root:12:18:48 [Epoch 4 Batch 1750/12277] loss=0.2764, lr=0.0000048, metrics:accuracy:0.8877
INFO:root:12:18:50 [Epoch 4 Batch 1760/12277] loss=0.2890, lr=0.0000048, metrics:accuracy:0.8877
INFO:root:12:18:52 [Epoch 4 Batch 1770/12277] loss=0.3314, lr=0.0000047, metrics:accuracy:0.8877
INFO:root:12:18:54 [Epoch 4 Batch 1780/12277] loss=0.3341, lr=0.0000047, metrics:accuracy:0.8876
INFO:root:12:18:55 [Epoch 4 Batch 1790/12277] loss=0.2800, lr=0.0000047, metrics:accuracy:0.8876
INFO:root:12:18:57 [Epoch 4 Batch 1800/12277] loss=0.3322, lr=0.0000047, metrics:accuracy:0.8877
INFO:root:12:18:58 [Epoch 4 Batch 1810/12277] loss=0.3843, lr=0.0000047, metrics:accuracy:0.8876
INFO:root:12:19:00 [Epoch 4 Batch 1820/12277] loss=0.3579, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:01 [Epoch 4 Batch 1830/12277] loss=0.3852, lr=0.0000047, metrics:accuracy:0.8872
INFO:root:12:19:03 [Epoch 4 Batch 1840/12277] loss=0.3340, lr=0.0000047, metrics:accuracy:0.8871
INFO:root:12:19:04 [Epoch 4 Batch 1850/12277] loss=0.2393, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:06 [Epoch 4 Batch 1860/12277] loss=0.3150, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:07 [Epoch 4 Batch 1870/12277] loss=0.3739, lr=0.0000047, metrics:accuracy:0.8873
INFO:root:12:19:09 [Epoch 4 Batch 1880/12277] loss=0.2723, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:11 [Epoch 4 Batch 1890/12277] loss=0.2950, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:12 [Epoch 4 Batch 1900/12277] loss=0.2783, lr=0.0000047, metrics:accuracy:0.8875
INFO:root:12:19:13 [Epoch 4 Batch 1910/12277] loss=0.3183, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:15 [Epoch 4 Batch 1920/12277] loss=0.3218, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:17 [Epoch 4 Batch 1930/12277] loss=0.3300, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:18 [Epoch 4 Batch 1940/12277] loss=0.3087, lr=0.0000047, metrics:accuracy:0.8873
INFO:root:12:19:20 [Epoch 4 Batch 1950/12277] loss=0.3111, lr=0.0000047, metrics:accuracy:0.8873
INFO:root:12:19:21 [Epoch 4 Batch 1960/12277] loss=0.2906, lr=0.0000047, metrics:accuracy:0.8873
INFO:root:12:19:23 [Epoch 4 Batch 1970/12277] loss=0.2996, lr=0.0000047, metrics:accuracy:0.8873
INFO:root:12:19:24 [Epoch 4 Batch 1980/12277] loss=0.3003, lr=0.0000047, metrics:accuracy:0.8874
INFO:root:12:19:26 [Epoch 4 Batch 1990/12277] loss=0.2867, lr=0.0000046, metrics:accuracy:0.8875
INFO:root:12:19:27 [Epoch 4 Batch 2000/12277] loss=0.3645, lr=0.0000046, metrics:accuracy:0.8875
INFO:root:12:19:29 [Epoch 4 Batch 2010/12277] loss=0.3080, lr=0.0000046, metrics:accuracy:0.8875
INFO:root:12:19:31 [Epoch 4 Batch 2020/12277] loss=0.3236, lr=0.0000046, metrics:accuracy:0.8875
INFO:root:12:19:32 [Epoch 4 Batch 2030/12277] loss=0.3346, lr=0.0000046, metrics:accuracy:0.8875
INFO:root:12:19:33 [Epoch 4 Batch 2040/12277] loss=0.3345, lr=0.0000046, metrics:accuracy:0.8875
INFO:root:12:19:35 [Epoch 4 Batch 2050/12277] loss=0.2723, lr=0.0000046, metrics:accuracy:0.8876
INFO:root:12:19:37 [Epoch 4 Batch 2060/12277] loss=0.3270, lr=0.0000046, metrics:accuracy:0.8876
INFO:root:12:19:39 [Epoch 4 Batch 2070/12277] loss=0.2770, lr=0.0000046, metrics:accuracy:0.8877
INFO:root:12:19:40 [Epoch 4 Batch 2080/12277] loss=0.3127, lr=0.0000046, metrics:accuracy:0.8877
INFO:root:12:19:42 [Epoch 4 Batch 2090/12277] loss=0.2708, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:19:43 [Epoch 4 Batch 2100/12277] loss=0.2797, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:19:45 [Epoch 4 Batch 2110/12277] loss=0.3477, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:19:47 [Epoch 4 Batch 2120/12277] loss=0.3084, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:19:48 [Epoch 4 Batch 2130/12277] loss=0.3551, lr=0.0000046, metrics:accuracy:0.8877
INFO:root:12:19:50 [Epoch 4 Batch 2140/12277] loss=0.2996, lr=0.0000046, metrics:accuracy:0.8877
INFO:root:12:19:52 [Epoch 4 Batch 2150/12277] loss=0.3010, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:19:53 [Epoch 4 Batch 2160/12277] loss=0.3486, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:19:55 [Epoch 4 Batch 2170/12277] loss=0.3226, lr=0.0000046, metrics:accuracy:0.8877
INFO:root:12:19:57 [Epoch 4 Batch 2180/12277] loss=0.3522, lr=0.0000046, metrics:accuracy:0.8877
INFO:root:12:19:58 [Epoch 4 Batch 2190/12277] loss=0.2319, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:20:00 [Epoch 4 Batch 2200/12277] loss=0.2753, lr=0.0000046, metrics:accuracy:0.8878
INFO:root:12:20:02 [Epoch 4 Batch 2210/12277] loss=0.2903, lr=0.0000045, metrics:accuracy:0.8879
INFO:root:12:20:03 [Epoch 4 Batch 2220/12277] loss=0.2922, lr=0.0000045, metrics:accuracy:0.8879
INFO:root:12:20:05 [Epoch 4 Batch 2230/12277] loss=0.3442, lr=0.0000045, metrics:accuracy:0.8878
INFO:root:12:20:07 [Epoch 4 Batch 2240/12277] loss=0.2651, lr=0.0000045, metrics:accuracy:0.8879
INFO:root:12:20:08 [Epoch 4 Batch 2250/12277] loss=0.3652, lr=0.0000045, metrics:accuracy:0.8878
INFO:root:12:20:10 [Epoch 4 Batch 2260/12277] loss=0.2657, lr=0.0000045, metrics:accuracy:0.8879
INFO:root:12:20:12 [Epoch 4 Batch 2270/12277] loss=0.3828, lr=0.0000045, metrics:accuracy:0.8878
INFO:root:12:20:14 [Epoch 4 Batch 2280/12277] loss=0.2958, lr=0.0000045, metrics:accuracy:0.8878
INFO:root:12:20:15 [Epoch 4 Batch 2290/12277] loss=0.3212, lr=0.0000045, metrics:accuracy:0.8877
INFO:root:12:20:17 [Epoch 4 Batch 2300/12277] loss=0.2891, lr=0.0000045, metrics:accuracy:0.8878
INFO:root:12:20:19 [Epoch 4 Batch 2310/12277] loss=0.3411, lr=0.0000045, metrics:accuracy:0.8877
INFO:root:12:20:20 [Epoch 4 Batch 2320/12277] loss=0.4096, lr=0.0000045, metrics:accuracy:0.8874
INFO:root:12:20:22 [Epoch 4 Batch 2330/12277] loss=0.3118, lr=0.0000045, metrics:accuracy:0.8874
INFO:root:12:20:24 [Epoch 4 Batch 2340/12277] loss=0.3052, lr=0.0000045, metrics:accuracy:0.8874
INFO:root:12:20:25 [Epoch 4 Batch 2350/12277] loss=0.3141, lr=0.0000045, metrics:accuracy:0.8873
INFO:root:12:20:27 [Epoch 4 Batch 2360/12277] loss=0.2664, lr=0.0000045, metrics:accuracy:0.8873
INFO:root:12:20:28 [Epoch 4 Batch 2370/12277] loss=0.2880, lr=0.0000045, metrics:accuracy:0.8872
INFO:root:12:20:30 [Epoch 4 Batch 2380/12277] loss=0.3649, lr=0.0000045, metrics:accuracy:0.8872
INFO:root:12:20:32 [Epoch 4 Batch 2390/12277] loss=0.3835, lr=0.0000045, metrics:accuracy:0.8871
INFO:root:12:20:33 [Epoch 4 Batch 2400/12277] loss=0.3030, lr=0.0000045, metrics:accuracy:0.8871
INFO:root:12:20:35 [Epoch 4 Batch 2410/12277] loss=0.3404, lr=0.0000045, metrics:accuracy:0.8870
INFO:root:12:20:37 [Epoch 4 Batch 2420/12277] loss=0.3019, lr=0.0000045, metrics:accuracy:0.8870
INFO:root:12:20:39 [Epoch 4 Batch 2430/12277] loss=0.3204, lr=0.0000044, metrics:accuracy:0.8870
INFO:root:12:20:40 [Epoch 4 Batch 2440/12277] loss=0.3674, lr=0.0000044, metrics:accuracy:0.8869
INFO:root:12:20:42 [Epoch 4 Batch 2450/12277] loss=0.3459, lr=0.0000044, metrics:accuracy:0.8869
INFO:root:12:20:43 [Epoch 4 Batch 2460/12277] loss=0.2672, lr=0.0000044, metrics:accuracy:0.8869
INFO:root:12:20:45 [Epoch 4 Batch 2470/12277] loss=0.3148, lr=0.0000044, metrics:accuracy:0.8870
INFO:root:12:20:47 [Epoch 4 Batch 2480/12277] loss=0.3460, lr=0.0000044, metrics:accuracy:0.8869
INFO:root:12:20:48 [Epoch 4 Batch 2490/12277] loss=0.2872, lr=0.0000044, metrics:accuracy:0.8870
INFO:root:12:20:50 [Epoch 4 Batch 2500/12277] loss=0.3002, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:20:51 [Epoch 4 Batch 2510/12277] loss=0.3100, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:20:53 [Epoch 4 Batch 2520/12277] loss=0.3050, lr=0.0000044, metrics:accuracy:0.8870
INFO:root:12:20:55 [Epoch 4 Batch 2530/12277] loss=0.3019, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:20:56 [Epoch 4 Batch 2540/12277] loss=0.3329, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:20:58 [Epoch 4 Batch 2550/12277] loss=0.2982, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:20:59 [Epoch 4 Batch 2560/12277] loss=0.2984, lr=0.0000044, metrics:accuracy:0.8872
INFO:root:12:21:01 [Epoch 4 Batch 2570/12277] loss=0.2793, lr=0.0000044, metrics:accuracy:0.8872
INFO:root:12:21:02 [Epoch 4 Batch 2580/12277] loss=0.3661, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:21:04 [Epoch 4 Batch 2590/12277] loss=0.3001, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:21:06 [Epoch 4 Batch 2600/12277] loss=0.3635, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:21:07 [Epoch 4 Batch 2610/12277] loss=0.3744, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:21:09 [Epoch 4 Batch 2620/12277] loss=0.2637, lr=0.0000044, metrics:accuracy:0.8871
INFO:root:12:21:10 [Epoch 4 Batch 2630/12277] loss=0.2898, lr=0.0000044, metrics:accuracy:0.8872
INFO:root:12:21:12 [Epoch 4 Batch 2640/12277] loss=0.2993, lr=0.0000044, metrics:accuracy:0.8872
INFO:root:12:21:13 [Epoch 4 Batch 2650/12277] loss=0.3393, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:15 [Epoch 4 Batch 2660/12277] loss=0.3226, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:17 [Epoch 4 Batch 2670/12277] loss=0.2489, lr=0.0000043, metrics:accuracy:0.8872
INFO:root:12:21:18 [Epoch 4 Batch 2680/12277] loss=0.3599, lr=0.0000043, metrics:accuracy:0.8872
INFO:root:12:21:20 [Epoch 4 Batch 2690/12277] loss=0.3885, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:21 [Epoch 4 Batch 2700/12277] loss=0.3415, lr=0.0000043, metrics:accuracy:0.8870
INFO:root:12:21:23 [Epoch 4 Batch 2710/12277] loss=0.3006, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:24 [Epoch 4 Batch 2720/12277] loss=0.3455, lr=0.0000043, metrics:accuracy:0.8870
INFO:root:12:21:26 [Epoch 4 Batch 2730/12277] loss=0.2474, lr=0.0000043, metrics:accuracy:0.8870
INFO:root:12:21:27 [Epoch 4 Batch 2740/12277] loss=0.3083, lr=0.0000043, metrics:accuracy:0.8870
INFO:root:12:21:29 [Epoch 4 Batch 2750/12277] loss=0.3471, lr=0.0000043, metrics:accuracy:0.8870
INFO:root:12:21:31 [Epoch 4 Batch 2760/12277] loss=0.2824, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:32 [Epoch 4 Batch 2770/12277] loss=0.2582, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:34 [Epoch 4 Batch 2780/12277] loss=0.2967, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:36 [Epoch 4 Batch 2790/12277] loss=0.3126, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:37 [Epoch 4 Batch 2800/12277] loss=0.2827, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:39 [Epoch 4 Batch 2810/12277] loss=0.3643, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:40 [Epoch 4 Batch 2820/12277] loss=0.3039, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:42 [Epoch 4 Batch 2830/12277] loss=0.3233, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:44 [Epoch 4 Batch 2840/12277] loss=0.2744, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:45 [Epoch 4 Batch 2850/12277] loss=0.2758, lr=0.0000043, metrics:accuracy:0.8871
INFO:root:12:21:47 [Epoch 4 Batch 2860/12277] loss=0.2635, lr=0.0000043, metrics:accuracy:0.8872
INFO:root:12:21:48 [Epoch 4 Batch 2870/12277] loss=0.4086, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:21:50 [Epoch 4 Batch 2880/12277] loss=0.3337, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:21:51 [Epoch 4 Batch 2890/12277] loss=0.3370, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:21:53 [Epoch 4 Batch 2900/12277] loss=0.3472, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:21:54 [Epoch 4 Batch 2910/12277] loss=0.3454, lr=0.0000042, metrics:accuracy:0.8869
INFO:root:12:21:56 [Epoch 4 Batch 2920/12277] loss=0.3158, lr=0.0000042, metrics:accuracy:0.8869
INFO:root:12:21:58 [Epoch 4 Batch 2930/12277] loss=0.3467, lr=0.0000042, metrics:accuracy:0.8868
INFO:root:12:21:59 [Epoch 4 Batch 2940/12277] loss=0.3363, lr=0.0000042, metrics:accuracy:0.8869
INFO:root:12:22:01 [Epoch 4 Batch 2950/12277] loss=0.2451, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:22:03 [Epoch 4 Batch 2960/12277] loss=0.2954, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:22:04 [Epoch 4 Batch 2970/12277] loss=0.3214, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:22:06 [Epoch 4 Batch 2980/12277] loss=0.2927, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:22:08 [Epoch 4 Batch 2990/12277] loss=0.3251, lr=0.0000042, metrics:accuracy:0.8870
INFO:root:12:22:09 [Epoch 4 Batch 3000/12277] loss=0.2844, lr=0.0000042, metrics:accuracy:0.8871
INFO:root:12:22:12 [Epoch 4 Batch 3010/12277] loss=0.2540, lr=0.0000042, metrics:accuracy:0.8872
INFO:root:12:22:13 [Epoch 4 Batch 3020/12277] loss=0.3352, lr=0.0000042, metrics:accuracy:0.8872
INFO:root:12:22:14 [Epoch 4 Batch 3030/12277] loss=0.3312, lr=0.0000042, metrics:accuracy:0.8871
INFO:root:12:22:16 [Epoch 4 Batch 3040/12277] loss=0.3319, lr=0.0000042, metrics:accuracy:0.8872
INFO:root:12:22:18 [Epoch 4 Batch 3050/12277] loss=0.3159, lr=0.0000042, metrics:accuracy:0.8871
INFO:root:12:22:20 [Epoch 4 Batch 3060/12277] loss=0.2798, lr=0.0000042, metrics:accuracy:0.8872
INFO:root:12:22:22 [Epoch 4 Batch 3070/12277] loss=0.2804, lr=0.0000042, metrics:accuracy:0.8872
INFO:root:12:22:24 [Epoch 4 Batch 3080/12277] loss=0.3651, lr=0.0000042, metrics:accuracy:0.8872
INFO:root:12:22:25 [Epoch 4 Batch 3090/12277] loss=0.2722, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:27 [Epoch 4 Batch 3100/12277] loss=0.2852, lr=0.0000041, metrics:accuracy:0.8873
INFO:root:12:22:28 [Epoch 4 Batch 3110/12277] loss=0.3467, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:30 [Epoch 4 Batch 3120/12277] loss=0.3240, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:31 [Epoch 4 Batch 3130/12277] loss=0.3414, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:33 [Epoch 4 Batch 3140/12277] loss=0.3439, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:35 [Epoch 4 Batch 3150/12277] loss=0.2591, lr=0.0000041, metrics:accuracy:0.8873
INFO:root:12:22:37 [Epoch 4 Batch 3160/12277] loss=0.3375, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:39 [Epoch 4 Batch 3170/12277] loss=0.3564, lr=0.0000041, metrics:accuracy:0.8871
INFO:root:12:22:40 [Epoch 4 Batch 3180/12277] loss=0.2681, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:42 [Epoch 4 Batch 3190/12277] loss=0.2839, lr=0.0000041, metrics:accuracy:0.8872
INFO:root:12:22:43 [Epoch 4 Batch 3200/12277] loss=0.3889, lr=0.0000041, metrics:accuracy:0.8871
INFO:root:12:22:45 [Epoch 4 Batch 3210/12277] loss=0.3454, lr=0.0000041, metrics:accuracy:0.8871
INFO:root:12:22:47 [Epoch 4 Batch 3220/12277] loss=0.2575, lr=0.0000041, metrics:accuracy:0.8871
INFO:root:12:22:48 [Epoch 4 Batch 3230/12277] loss=0.3102, lr=0.0000041, metrics:accuracy:0.8871
INFO:root:12:22:50 [Epoch 4 Batch 3240/12277] loss=0.3200, lr=0.0000041, metrics:accuracy:0.8870
INFO:root:12:22:51 [Epoch 4 Batch 3250/12277] loss=0.2893, lr=0.0000041, metrics:accuracy:0.8871
INFO:root:12:22:53 [Epoch 4 Batch 3260/12277] loss=0.3387, lr=0.0000041, metrics:accuracy:0.8870
INFO:root:12:22:55 [Epoch 4 Batch 3270/12277] loss=0.3377, lr=0.0000041, metrics:accuracy:0.8870
INFO:root:12:22:56 [Epoch 4 Batch 3280/12277] loss=0.3447, lr=0.0000041, metrics:accuracy:0.8869
INFO:root:12:22:58 [Epoch 4 Batch 3290/12277] loss=0.3579, lr=0.0000041, metrics:accuracy:0.8868
INFO:root:12:23:00 [Epoch 4 Batch 3300/12277] loss=0.3454, lr=0.0000041, metrics:accuracy:0.8868
INFO:root:12:23:02 [Epoch 4 Batch 3310/12277] loss=0.2938, lr=0.0000041, metrics:accuracy:0.8868
INFO:root:12:23:03 [Epoch 4 Batch 3320/12277] loss=0.4336, lr=0.0000040, metrics:accuracy:0.8867
INFO:root:12:23:05 [Epoch 4 Batch 3330/12277] loss=0.3587, lr=0.0000040, metrics:accuracy:0.8866
INFO:root:12:23:07 [Epoch 4 Batch 3340/12277] loss=0.3716, lr=0.0000040, metrics:accuracy:0.8866
INFO:root:12:23:09 [Epoch 4 Batch 3350/12277] loss=0.3909, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:10 [Epoch 4 Batch 3360/12277] loss=0.3130, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:12 [Epoch 4 Batch 3370/12277] loss=0.3372, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:14 [Epoch 4 Batch 3380/12277] loss=0.2961, lr=0.0000040, metrics:accuracy:0.8866
INFO:root:12:23:15 [Epoch 4 Batch 3390/12277] loss=0.4456, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:17 [Epoch 4 Batch 3400/12277] loss=0.2983, lr=0.0000040, metrics:accuracy:0.8866
INFO:root:12:23:19 [Epoch 4 Batch 3410/12277] loss=0.3271, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:20 [Epoch 4 Batch 3420/12277] loss=0.3399, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:22 [Epoch 4 Batch 3430/12277] loss=0.3936, lr=0.0000040, metrics:accuracy:0.8864
INFO:root:12:23:23 [Epoch 4 Batch 3440/12277] loss=0.3641, lr=0.0000040, metrics:accuracy:0.8864
INFO:root:12:23:25 [Epoch 4 Batch 3450/12277] loss=0.3351, lr=0.0000040, metrics:accuracy:0.8863
INFO:root:12:23:27 [Epoch 4 Batch 3460/12277] loss=0.3839, lr=0.0000040, metrics:accuracy:0.8863
INFO:root:12:23:29 [Epoch 4 Batch 3470/12277] loss=0.3497, lr=0.0000040, metrics:accuracy:0.8862
INFO:root:12:23:30 [Epoch 4 Batch 3480/12277] loss=0.2118, lr=0.0000040, metrics:accuracy:0.8863
INFO:root:12:23:32 [Epoch 4 Batch 3490/12277] loss=0.2509, lr=0.0000040, metrics:accuracy:0.8864
INFO:root:12:23:33 [Epoch 4 Batch 3500/12277] loss=0.2913, lr=0.0000040, metrics:accuracy:0.8864
INFO:root:12:23:34 [Epoch 4 Batch 3510/12277] loss=0.3317, lr=0.0000040, metrics:accuracy:0.8863
INFO:root:12:23:36 [Epoch 4 Batch 3520/12277] loss=0.2460, lr=0.0000040, metrics:accuracy:0.8864
INFO:root:12:23:38 [Epoch 4 Batch 3530/12277] loss=0.2714, lr=0.0000040, metrics:accuracy:0.8865
INFO:root:12:23:39 [Epoch 4 Batch 3540/12277] loss=0.3679, lr=0.0000039, metrics:accuracy:0.8864
INFO:root:12:23:40 [Epoch 4 Batch 3550/12277] loss=0.3529, lr=0.0000039, metrics:accuracy:0.8864
INFO:root:12:23:42 [Epoch 4 Batch 3560/12277] loss=0.3023, lr=0.0000039, metrics:accuracy:0.8865
INFO:root:12:23:43 [Epoch 4 Batch 3570/12277] loss=0.3226, lr=0.0000039, metrics:accuracy:0.8864
INFO:root:12:23:45 [Epoch 4 Batch 3580/12277] loss=0.3450, lr=0.0000039, metrics:accuracy:0.8863
INFO:root:12:23:47 [Epoch 4 Batch 3590/12277] loss=0.3258, lr=0.0000039, metrics:accuracy:0.8863
INFO:root:12:23:48 [Epoch 4 Batch 3600/12277] loss=0.3663, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:23:50 [Epoch 4 Batch 3610/12277] loss=0.3265, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:23:52 [Epoch 4 Batch 3620/12277] loss=0.3238, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:23:54 [Epoch 4 Batch 3630/12277] loss=0.3459, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:23:55 [Epoch 4 Batch 3640/12277] loss=0.3117, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:23:57 [Epoch 4 Batch 3650/12277] loss=0.2961, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:23:59 [Epoch 4 Batch 3660/12277] loss=0.3043, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:24:00 [Epoch 4 Batch 3670/12277] loss=0.3308, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:24:01 [Epoch 4 Batch 3680/12277] loss=0.2900, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:24:03 [Epoch 4 Batch 3690/12277] loss=0.3709, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:24:05 [Epoch 4 Batch 3700/12277] loss=0.2968, lr=0.0000039, metrics:accuracy:0.8862
INFO:root:12:24:07 [Epoch 4 Batch 3710/12277] loss=0.3143, lr=0.0000039, metrics:accuracy:0.8861
INFO:root:12:24:08 [Epoch 4 Batch 3720/12277] loss=0.3460, lr=0.0000039, metrics:accuracy:0.8861
INFO:root:12:24:10 [Epoch 4 Batch 3730/12277] loss=0.4139, lr=0.0000039, metrics:accuracy:0.8860
INFO:root:12:24:12 [Epoch 4 Batch 3740/12277] loss=0.2783, lr=0.0000039, metrics:accuracy:0.8860
INFO:root:12:24:14 [Epoch 4 Batch 3750/12277] loss=0.3767, lr=0.0000039, metrics:accuracy:0.8860
INFO:root:12:24:15 [Epoch 4 Batch 3760/12277] loss=0.2687, lr=0.0000038, metrics:accuracy:0.8860
INFO:root:12:24:17 [Epoch 4 Batch 3770/12277] loss=0.3295, lr=0.0000038, metrics:accuracy:0.8860
INFO:root:12:24:18 [Epoch 4 Batch 3780/12277] loss=0.3757, lr=0.0000038, metrics:accuracy:0.8860
INFO:root:12:24:20 [Epoch 4 Batch 3790/12277] loss=0.2523, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:22 [Epoch 4 Batch 3800/12277] loss=0.2959, lr=0.0000038, metrics:accuracy:0.8860
INFO:root:12:24:23 [Epoch 4 Batch 3810/12277] loss=0.3057, lr=0.0000038, metrics:accuracy:0.8860
INFO:root:12:24:25 [Epoch 4 Batch 3820/12277] loss=0.2793, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:26 [Epoch 4 Batch 3830/12277] loss=0.2830, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:28 [Epoch 4 Batch 3840/12277] loss=0.2915, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:30 [Epoch 4 Batch 3850/12277] loss=0.3166, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:31 [Epoch 4 Batch 3860/12277] loss=0.2840, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:33 [Epoch 4 Batch 3870/12277] loss=0.3138, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:35 [Epoch 4 Batch 3880/12277] loss=0.3534, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:36 [Epoch 4 Batch 3890/12277] loss=0.3784, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:38 [Epoch 4 Batch 3900/12277] loss=0.2412, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:40 [Epoch 4 Batch 3910/12277] loss=0.2829, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:42 [Epoch 4 Batch 3920/12277] loss=0.3424, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:43 [Epoch 4 Batch 3930/12277] loss=0.3302, lr=0.0000038, metrics:accuracy:0.8861
INFO:root:12:24:45 [Epoch 4 Batch 3940/12277] loss=0.2292, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:47 [Epoch 4 Batch 3950/12277] loss=0.2743, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:48 [Epoch 4 Batch 3960/12277] loss=0.3354, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:50 [Epoch 4 Batch 3970/12277] loss=0.2529, lr=0.0000038, metrics:accuracy:0.8862
INFO:root:12:24:51 [Epoch 4 Batch 3980/12277] loss=0.3704, lr=0.0000037, metrics:accuracy:0.8862
INFO:root:12:24:53 [Epoch 4 Batch 3990/12277] loss=0.3603, lr=0.0000037, metrics:accuracy:0.8862
INFO:root:12:24:55 [Epoch 4 Batch 4000/12277] loss=0.2470, lr=0.0000037, metrics:accuracy:0.8862
INFO:root:12:24:56 [Epoch 4 Batch 4010/12277] loss=0.3114, lr=0.0000037, metrics:accuracy:0.8862
INFO:root:12:24:58 [Epoch 4 Batch 4020/12277] loss=0.2768, lr=0.0000037, metrics:accuracy:0.8863
INFO:root:12:25:00 [Epoch 4 Batch 4030/12277] loss=0.2413, lr=0.0000037, metrics:accuracy:0.8864
INFO:root:12:25:02 [Epoch 4 Batch 4040/12277] loss=0.3285, lr=0.0000037, metrics:accuracy:0.8864
INFO:root:12:25:03 [Epoch 4 Batch 4050/12277] loss=0.2864, lr=0.0000037, metrics:accuracy:0.8864
INFO:root:12:25:05 [Epoch 4 Batch 4060/12277] loss=0.3109, lr=0.0000037, metrics:accuracy:0.8864
INFO:root:12:25:07 [Epoch 4 Batch 4070/12277] loss=0.3546, lr=0.0000037, metrics:accuracy:0.8864
INFO:root:12:25:08 [Epoch 4 Batch 4080/12277] loss=0.2292, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:10 [Epoch 4 Batch 4090/12277] loss=0.2567, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:11 [Epoch 4 Batch 4100/12277] loss=0.3597, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:13 [Epoch 4 Batch 4110/12277] loss=0.2975, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:14 [Epoch 4 Batch 4120/12277] loss=0.3241, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:16 [Epoch 4 Batch 4130/12277] loss=0.2608, lr=0.0000037, metrics:accuracy:0.8866
INFO:root:12:25:17 [Epoch 4 Batch 4140/12277] loss=0.2926, lr=0.0000037, metrics:accuracy:0.8866
INFO:root:12:25:19 [Epoch 4 Batch 4150/12277] loss=0.3708, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:21 [Epoch 4 Batch 4160/12277] loss=0.3326, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:22 [Epoch 4 Batch 4170/12277] loss=0.3427, lr=0.0000037, metrics:accuracy:0.8864
INFO:root:12:25:24 [Epoch 4 Batch 4180/12277] loss=0.2097, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:26 [Epoch 4 Batch 4190/12277] loss=0.2984, lr=0.0000037, metrics:accuracy:0.8865
INFO:root:12:25:28 [Epoch 4 Batch 4200/12277] loss=0.4307, lr=0.0000036, metrics:accuracy:0.8864
INFO:root:12:25:30 [Epoch 4 Batch 4210/12277] loss=0.3489, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:31 [Epoch 4 Batch 4220/12277] loss=0.3242, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:33 [Epoch 4 Batch 4230/12277] loss=0.3420, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:34 [Epoch 4 Batch 4240/12277] loss=0.3175, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:36 [Epoch 4 Batch 4250/12277] loss=0.3447, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:38 [Epoch 4 Batch 4260/12277] loss=0.2725, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:39 [Epoch 4 Batch 4270/12277] loss=0.2918, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:41 [Epoch 4 Batch 4280/12277] loss=0.3390, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:43 [Epoch 4 Batch 4290/12277] loss=0.3015, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:45 [Epoch 4 Batch 4300/12277] loss=0.3651, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:47 [Epoch 4 Batch 4310/12277] loss=0.3307, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:48 [Epoch 4 Batch 4320/12277] loss=0.3029, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:50 [Epoch 4 Batch 4330/12277] loss=0.3113, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:51 [Epoch 4 Batch 4340/12277] loss=0.3240, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:53 [Epoch 4 Batch 4350/12277] loss=0.3369, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:54 [Epoch 4 Batch 4360/12277] loss=0.2833, lr=0.0000036, metrics:accuracy:0.8863
INFO:root:12:25:56 [Epoch 4 Batch 4370/12277] loss=0.2284, lr=0.0000036, metrics:accuracy:0.8864
INFO:root:12:25:58 [Epoch 4 Batch 4380/12277] loss=0.3539, lr=0.0000036, metrics:accuracy:0.8864
INFO:root:12:26:00 [Epoch 4 Batch 4390/12277] loss=0.3038, lr=0.0000036, metrics:accuracy:0.8864
INFO:root:12:26:02 [Epoch 4 Batch 4400/12277] loss=0.3508, lr=0.0000036, metrics:accuracy:0.8864
INFO:root:12:26:04 [Epoch 4 Batch 4410/12277] loss=0.2990, lr=0.0000036, metrics:accuracy:0.8864
INFO:root:12:26:06 [Epoch 4 Batch 4420/12277] loss=0.2306, lr=0.0000035, metrics:accuracy:0.8865
INFO:root:12:26:07 [Epoch 4 Batch 4430/12277] loss=0.2732, lr=0.0000035, metrics:accuracy:0.8865
INFO:root:12:26:09 [Epoch 4 Batch 4440/12277] loss=0.3003, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:11 [Epoch 4 Batch 4450/12277] loss=0.3383, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:12 [Epoch 4 Batch 4460/12277] loss=0.3791, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:14 [Epoch 4 Batch 4470/12277] loss=0.3219, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:16 [Epoch 4 Batch 4480/12277] loss=0.3716, lr=0.0000035, metrics:accuracy:0.8865
INFO:root:12:26:17 [Epoch 4 Batch 4490/12277] loss=0.3199, lr=0.0000035, metrics:accuracy:0.8865
INFO:root:12:26:19 [Epoch 4 Batch 4500/12277] loss=0.2731, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:20 [Epoch 4 Batch 4510/12277] loss=0.2822, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:22 [Epoch 4 Batch 4520/12277] loss=0.2936, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:24 [Epoch 4 Batch 4530/12277] loss=0.3213, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:25 [Epoch 4 Batch 4540/12277] loss=0.2883, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:26 [Epoch 4 Batch 4550/12277] loss=0.3395, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:28 [Epoch 4 Batch 4560/12277] loss=0.2763, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:30 [Epoch 4 Batch 4570/12277] loss=0.3164, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:31 [Epoch 4 Batch 4580/12277] loss=0.2635, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:33 [Epoch 4 Batch 4590/12277] loss=0.2840, lr=0.0000035, metrics:accuracy:0.8866
INFO:root:12:26:35 [Epoch 4 Batch 4600/12277] loss=0.2778, lr=0.0000035, metrics:accuracy:0.8867
INFO:root:12:26:36 [Epoch 4 Batch 4610/12277] loss=0.3016, lr=0.0000035, metrics:accuracy:0.8867
INFO:root:12:26:38 [Epoch 4 Batch 4620/12277] loss=0.2009, lr=0.0000035, metrics:accuracy:0.8868
INFO:root:12:26:40 [Epoch 4 Batch 4630/12277] loss=0.2948, lr=0.0000035, metrics:accuracy:0.8868
INFO:root:12:26:42 [Epoch 4 Batch 4640/12277] loss=0.2748, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:43 [Epoch 4 Batch 4650/12277] loss=0.3277, lr=0.0000034, metrics:accuracy:0.8868
INFO:root:12:26:45 [Epoch 4 Batch 4660/12277] loss=0.2965, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:46 [Epoch 4 Batch 4670/12277] loss=0.2657, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:48 [Epoch 4 Batch 4680/12277] loss=0.3475, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:49 [Epoch 4 Batch 4690/12277] loss=0.3022, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:51 [Epoch 4 Batch 4700/12277] loss=0.3483, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:53 [Epoch 4 Batch 4710/12277] loss=0.3129, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:55 [Epoch 4 Batch 4720/12277] loss=0.3539, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:56 [Epoch 4 Batch 4730/12277] loss=0.3369, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:58 [Epoch 4 Batch 4740/12277] loss=0.2931, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:26:59 [Epoch 4 Batch 4750/12277] loss=0.3010, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:27:01 [Epoch 4 Batch 4760/12277] loss=0.3080, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:27:03 [Epoch 4 Batch 4770/12277] loss=0.3114, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:27:04 [Epoch 4 Batch 4780/12277] loss=0.2804, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:27:06 [Epoch 4 Batch 4790/12277] loss=0.3144, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:27:08 [Epoch 4 Batch 4800/12277] loss=0.2860, lr=0.0000034, metrics:accuracy:0.8869
INFO:root:12:27:09 [Epoch 4 Batch 4810/12277] loss=0.2910, lr=0.0000034, metrics:accuracy:0.8870
INFO:root:12:27:11 [Epoch 4 Batch 4820/12277] loss=0.2612, lr=0.0000034, metrics:accuracy:0.8870
INFO:root:12:27:13 [Epoch 4 Batch 4830/12277] loss=0.2764, lr=0.0000034, metrics:accuracy:0.8871
INFO:root:12:27:15 [Epoch 4 Batch 4840/12277] loss=0.3788, lr=0.0000034, metrics:accuracy:0.8870
INFO:root:12:27:16 [Epoch 4 Batch 4850/12277] loss=0.3303, lr=0.0000034, metrics:accuracy:0.8871
INFO:root:12:27:18 [Epoch 4 Batch 4860/12277] loss=0.3666, lr=0.0000033, metrics:accuracy:0.8870
INFO:root:12:27:20 [Epoch 4 Batch 4870/12277] loss=0.2489, lr=0.0000033, metrics:accuracy:0.8871
INFO:root:12:27:22 [Epoch 4 Batch 4880/12277] loss=0.3586, lr=0.0000033, metrics:accuracy:0.8870
INFO:root:12:27:23 [Epoch 4 Batch 4890/12277] loss=0.3625, lr=0.0000033, metrics:accuracy:0.8870
INFO:root:12:27:25 [Epoch 4 Batch 4900/12277] loss=0.3812, lr=0.0000033, metrics:accuracy:0.8869
INFO:root:12:27:26 [Epoch 4 Batch 4910/12277] loss=0.4072, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:28 [Epoch 4 Batch 4920/12277] loss=0.3116, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:30 [Epoch 4 Batch 4930/12277] loss=0.2988, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:32 [Epoch 4 Batch 4940/12277] loss=0.3310, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:33 [Epoch 4 Batch 4950/12277] loss=0.2824, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:35 [Epoch 4 Batch 4960/12277] loss=0.3336, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:36 [Epoch 4 Batch 4970/12277] loss=0.3242, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:38 [Epoch 4 Batch 4980/12277] loss=0.3159, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:40 [Epoch 4 Batch 4990/12277] loss=0.3394, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:41 [Epoch 4 Batch 5000/12277] loss=0.2820, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:43 [Epoch 4 Batch 5010/12277] loss=0.3037, lr=0.0000033, metrics:accuracy:0.8868
INFO:root:12:27:44 [Epoch 4 Batch 5020/12277] loss=0.3457, lr=0.0000033, metrics:accuracy:0.8867
INFO:root:12:27:46 [Epoch 4 Batch 5030/12277] loss=0.3463, lr=0.0000033, metrics:accuracy:0.8866
INFO:root:12:27:48 [Epoch 4 Batch 5040/12277] loss=0.3324, lr=0.0000033, metrics:accuracy:0.8866
INFO:root:12:27:50 [Epoch 4 Batch 5050/12277] loss=0.3655, lr=0.0000033, metrics:accuracy:0.8866
INFO:root:12:27:51 [Epoch 4 Batch 5060/12277] loss=0.3380, lr=0.0000033, metrics:accuracy:0.8866
INFO:root:12:27:53 [Epoch 4 Batch 5070/12277] loss=0.2868, lr=0.0000033, metrics:accuracy:0.8866
INFO:root:12:27:55 [Epoch 4 Batch 5080/12277] loss=0.3452, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:27:56 [Epoch 4 Batch 5090/12277] loss=0.2973, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:27:58 [Epoch 4 Batch 5100/12277] loss=0.3180, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:27:59 [Epoch 4 Batch 5110/12277] loss=0.3432, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:01 [Epoch 4 Batch 5120/12277] loss=0.2110, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:02 [Epoch 4 Batch 5130/12277] loss=0.3353, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:04 [Epoch 4 Batch 5140/12277] loss=0.3295, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:06 [Epoch 4 Batch 5150/12277] loss=0.3298, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:07 [Epoch 4 Batch 5160/12277] loss=0.3219, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:09 [Epoch 4 Batch 5170/12277] loss=0.3261, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:10 [Epoch 4 Batch 5180/12277] loss=0.3422, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:12 [Epoch 4 Batch 5190/12277] loss=0.3297, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:13 [Epoch 4 Batch 5200/12277] loss=0.3140, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:15 [Epoch 4 Batch 5210/12277] loss=0.2799, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:17 [Epoch 4 Batch 5220/12277] loss=0.2839, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:19 [Epoch 4 Batch 5230/12277] loss=0.3110, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:20 [Epoch 4 Batch 5240/12277] loss=0.3649, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:22 [Epoch 4 Batch 5250/12277] loss=0.3226, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:23 [Epoch 4 Batch 5260/12277] loss=0.3248, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:25 [Epoch 4 Batch 5270/12277] loss=0.3801, lr=0.0000032, metrics:accuracy:0.8866
INFO:root:12:28:27 [Epoch 4 Batch 5280/12277] loss=0.2712, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:28 [Epoch 4 Batch 5290/12277] loss=0.2486, lr=0.0000032, metrics:accuracy:0.8867
INFO:root:12:28:30 [Epoch 4 Batch 5300/12277] loss=0.3398, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:32 [Epoch 4 Batch 5310/12277] loss=0.2879, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:33 [Epoch 4 Batch 5320/12277] loss=0.3484, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:35 [Epoch 4 Batch 5330/12277] loss=0.3225, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:36 [Epoch 4 Batch 5340/12277] loss=0.2989, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:38 [Epoch 4 Batch 5350/12277] loss=0.3307, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:40 [Epoch 4 Batch 5360/12277] loss=0.2955, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:41 [Epoch 4 Batch 5370/12277] loss=0.2463, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:43 [Epoch 4 Batch 5380/12277] loss=0.2894, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:44 [Epoch 4 Batch 5390/12277] loss=0.3152, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:46 [Epoch 4 Batch 5400/12277] loss=0.3559, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:48 [Epoch 4 Batch 5410/12277] loss=0.2905, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:49 [Epoch 4 Batch 5420/12277] loss=0.3161, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:51 [Epoch 4 Batch 5430/12277] loss=0.3440, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:53 [Epoch 4 Batch 5440/12277] loss=0.3238, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:54 [Epoch 4 Batch 5450/12277] loss=0.3198, lr=0.0000031, metrics:accuracy:0.8867
INFO:root:12:28:56 [Epoch 4 Batch 5460/12277] loss=0.2848, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:28:58 [Epoch 4 Batch 5470/12277] loss=0.2624, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:29:00 [Epoch 4 Batch 5480/12277] loss=0.3419, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:29:01 [Epoch 4 Batch 5490/12277] loss=0.3244, lr=0.0000031, metrics:accuracy:0.8868
INFO:root:12:29:03 [Epoch 4 Batch 5500/12277] loss=0.2368, lr=0.0000031, metrics:accuracy:0.8869
INFO:root:12:29:05 [Epoch 4 Batch 5510/12277] loss=0.2772, lr=0.0000031, metrics:accuracy:0.8869
INFO:root:12:29:06 [Epoch 4 Batch 5520/12277] loss=0.2682, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:08 [Epoch 4 Batch 5530/12277] loss=0.2485, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:10 [Epoch 4 Batch 5540/12277] loss=0.3347, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:12 [Epoch 4 Batch 5550/12277] loss=0.3730, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:13 [Epoch 4 Batch 5560/12277] loss=0.2620, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:15 [Epoch 4 Batch 5570/12277] loss=0.3123, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:17 [Epoch 4 Batch 5580/12277] loss=0.3342, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:19 [Epoch 4 Batch 5590/12277] loss=0.3057, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:20 [Epoch 4 Batch 5600/12277] loss=0.3205, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:22 [Epoch 4 Batch 5610/12277] loss=0.2864, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:23 [Epoch 4 Batch 5620/12277] loss=0.3135, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:25 [Epoch 4 Batch 5630/12277] loss=0.3494, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:27 [Epoch 4 Batch 5640/12277] loss=0.3068, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:28 [Epoch 4 Batch 5650/12277] loss=0.2775, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:30 [Epoch 4 Batch 5660/12277] loss=0.3142, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:31 [Epoch 4 Batch 5670/12277] loss=0.2607, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:33 [Epoch 4 Batch 5680/12277] loss=0.3156, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:35 [Epoch 4 Batch 5690/12277] loss=0.3737, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:36 [Epoch 4 Batch 5700/12277] loss=0.3577, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:38 [Epoch 4 Batch 5710/12277] loss=0.3374, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:40 [Epoch 4 Batch 5720/12277] loss=0.2381, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:41 [Epoch 4 Batch 5730/12277] loss=0.2996, lr=0.0000030, metrics:accuracy:0.8869
INFO:root:12:29:43 [Epoch 4 Batch 5740/12277] loss=0.2569, lr=0.0000030, metrics:accuracy:0.8870
INFO:root:12:29:44 [Epoch 4 Batch 5750/12277] loss=0.3780, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:29:46 [Epoch 4 Batch 5760/12277] loss=0.3034, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:29:48 [Epoch 4 Batch 5770/12277] loss=0.3921, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:29:49 [Epoch 4 Batch 5780/12277] loss=0.3217, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:29:51 [Epoch 4 Batch 5790/12277] loss=0.2743, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:29:53 [Epoch 4 Batch 5800/12277] loss=0.3443, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:29:54 [Epoch 4 Batch 5810/12277] loss=0.2594, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:29:56 [Epoch 4 Batch 5820/12277] loss=0.2823, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:29:57 [Epoch 4 Batch 5830/12277] loss=0.3342, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:29:59 [Epoch 4 Batch 5840/12277] loss=0.2913, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:30:01 [Epoch 4 Batch 5850/12277] loss=0.3047, lr=0.0000029, metrics:accuracy:0.8870
INFO:root:12:30:02 [Epoch 4 Batch 5860/12277] loss=0.3415, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:04 [Epoch 4 Batch 5870/12277] loss=0.3573, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:06 [Epoch 4 Batch 5880/12277] loss=0.2826, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:08 [Epoch 4 Batch 5890/12277] loss=0.3400, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:09 [Epoch 4 Batch 5900/12277] loss=0.2991, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:11 [Epoch 4 Batch 5910/12277] loss=0.3580, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:12 [Epoch 4 Batch 5920/12277] loss=0.3299, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:14 [Epoch 4 Batch 5930/12277] loss=0.3020, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:16 [Epoch 4 Batch 5940/12277] loss=0.2882, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:17 [Epoch 4 Batch 5950/12277] loss=0.2717, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:19 [Epoch 4 Batch 5960/12277] loss=0.3117, lr=0.0000029, metrics:accuracy:0.8869
INFO:root:12:30:21 [Epoch 4 Batch 5970/12277] loss=0.3618, lr=0.0000028, metrics:accuracy:0.8869
INFO:root:12:30:22 [Epoch 4 Batch 5980/12277] loss=0.3528, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:24 [Epoch 4 Batch 5990/12277] loss=0.3019, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:25 [Epoch 4 Batch 6000/12277] loss=0.3052, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:27 [Epoch 4 Batch 6010/12277] loss=0.3673, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:28 [Epoch 4 Batch 6020/12277] loss=0.3062, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:30 [Epoch 4 Batch 6030/12277] loss=0.3358, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:31 [Epoch 4 Batch 6040/12277] loss=0.2805, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:33 [Epoch 4 Batch 6050/12277] loss=0.3174, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:35 [Epoch 4 Batch 6060/12277] loss=0.3229, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:37 [Epoch 4 Batch 6070/12277] loss=0.3050, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:38 [Epoch 4 Batch 6080/12277] loss=0.3302, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:40 [Epoch 4 Batch 6090/12277] loss=0.3413, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:41 [Epoch 4 Batch 6100/12277] loss=0.3288, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:43 [Epoch 4 Batch 6110/12277] loss=0.2464, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:44 [Epoch 4 Batch 6120/12277] loss=0.3041, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:46 [Epoch 4 Batch 6130/12277] loss=0.2967, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:48 [Epoch 4 Batch 6140/12277] loss=0.2939, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:49 [Epoch 4 Batch 6150/12277] loss=0.2896, lr=0.0000028, metrics:accuracy:0.8868
INFO:root:12:30:51 [Epoch 4 Batch 6160/12277] loss=0.3391, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:53 [Epoch 4 Batch 6170/12277] loss=0.3768, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:54 [Epoch 4 Batch 6180/12277] loss=0.2719, lr=0.0000028, metrics:accuracy:0.8867
INFO:root:12:30:56 [Epoch 4 Batch 6190/12277] loss=0.3111, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:30:58 [Epoch 4 Batch 6200/12277] loss=0.3074, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:30:59 [Epoch 4 Batch 6210/12277] loss=0.3175, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:01 [Epoch 4 Batch 6220/12277] loss=0.3261, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:02 [Epoch 4 Batch 6230/12277] loss=0.2783, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:04 [Epoch 4 Batch 6240/12277] loss=0.2981, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:05 [Epoch 4 Batch 6250/12277] loss=0.3435, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:07 [Epoch 4 Batch 6260/12277] loss=0.3473, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:08 [Epoch 4 Batch 6270/12277] loss=0.2575, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:10 [Epoch 4 Batch 6280/12277] loss=0.3801, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:12 [Epoch 4 Batch 6290/12277] loss=0.3022, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:13 [Epoch 4 Batch 6300/12277] loss=0.2835, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:15 [Epoch 4 Batch 6310/12277] loss=0.3257, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:17 [Epoch 4 Batch 6320/12277] loss=0.3481, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:18 [Epoch 4 Batch 6330/12277] loss=0.3617, lr=0.0000027, metrics:accuracy:0.8866
INFO:root:12:31:20 [Epoch 4 Batch 6340/12277] loss=0.2732, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:21 [Epoch 4 Batch 6350/12277] loss=0.2629, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:23 [Epoch 4 Batch 6360/12277] loss=0.2744, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:24 [Epoch 4 Batch 6370/12277] loss=0.3274, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:26 [Epoch 4 Batch 6380/12277] loss=0.3355, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:28 [Epoch 4 Batch 6390/12277] loss=0.2780, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:29 [Epoch 4 Batch 6400/12277] loss=0.3457, lr=0.0000027, metrics:accuracy:0.8867
INFO:root:12:31:31 [Epoch 4 Batch 6410/12277] loss=0.3172, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:33 [Epoch 4 Batch 6420/12277] loss=0.2871, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:34 [Epoch 4 Batch 6430/12277] loss=0.3569, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:36 [Epoch 4 Batch 6440/12277] loss=0.3279, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:37 [Epoch 4 Batch 6450/12277] loss=0.3591, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:39 [Epoch 4 Batch 6460/12277] loss=0.2868, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:40 [Epoch 4 Batch 6470/12277] loss=0.2197, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:42 [Epoch 4 Batch 6480/12277] loss=0.3428, lr=0.0000026, metrics:accuracy:0.8867
INFO:root:12:31:43 [Epoch 4 Batch 6490/12277] loss=0.2280, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:45 [Epoch 4 Batch 6500/12277] loss=0.2910, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:47 [Epoch 4 Batch 6510/12277] loss=0.3031, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:48 [Epoch 4 Batch 6520/12277] loss=0.3356, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:50 [Epoch 4 Batch 6530/12277] loss=0.2643, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:31:52 [Epoch 4 Batch 6540/12277] loss=0.3700, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:53 [Epoch 4 Batch 6550/12277] loss=0.3187, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:55 [Epoch 4 Batch 6560/12277] loss=0.2825, lr=0.0000026, metrics:accuracy:0.8868
INFO:root:12:31:57 [Epoch 4 Batch 6570/12277] loss=0.2898, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:31:59 [Epoch 4 Batch 6580/12277] loss=0.2863, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:32:00 [Epoch 4 Batch 6590/12277] loss=0.3210, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:32:02 [Epoch 4 Batch 6600/12277] loss=0.3447, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:32:03 [Epoch 4 Batch 6610/12277] loss=0.2932, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:32:04 [Epoch 4 Batch 6620/12277] loss=0.3920, lr=0.0000026, metrics:accuracy:0.8869
INFO:root:12:32:06 [Epoch 4 Batch 6630/12277] loss=0.2296, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:08 [Epoch 4 Batch 6640/12277] loss=0.2512, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:09 [Epoch 4 Batch 6650/12277] loss=0.3223, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:11 [Epoch 4 Batch 6660/12277] loss=0.3309, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:13 [Epoch 4 Batch 6670/12277] loss=0.3228, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:14 [Epoch 4 Batch 6680/12277] loss=0.2842, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:16 [Epoch 4 Batch 6690/12277] loss=0.3467, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:18 [Epoch 4 Batch 6700/12277] loss=0.4027, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:20 [Epoch 4 Batch 6710/12277] loss=0.3453, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:21 [Epoch 4 Batch 6720/12277] loss=0.3761, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:23 [Epoch 4 Batch 6730/12277] loss=0.3085, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:25 [Epoch 4 Batch 6740/12277] loss=0.3805, lr=0.0000025, metrics:accuracy:0.8867
INFO:root:12:32:27 [Epoch 4 Batch 6750/12277] loss=0.3174, lr=0.0000025, metrics:accuracy:0.8867
INFO:root:12:32:29 [Epoch 4 Batch 6760/12277] loss=0.2633, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:31 [Epoch 4 Batch 6770/12277] loss=0.2914, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:32 [Epoch 4 Batch 6780/12277] loss=0.2707, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:34 [Epoch 4 Batch 6790/12277] loss=0.2964, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:36 [Epoch 4 Batch 6800/12277] loss=0.3272, lr=0.0000025, metrics:accuracy:0.8868
INFO:root:12:32:37 [Epoch 4 Batch 6810/12277] loss=0.2748, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:38 [Epoch 4 Batch 6820/12277] loss=0.2751, lr=0.0000025, metrics:accuracy:0.8869
INFO:root:12:32:40 [Epoch 4 Batch 6830/12277] loss=0.2417, lr=0.0000025, metrics:accuracy:0.8870
INFO:root:12:32:42 [Epoch 4 Batch 6840/12277] loss=0.2658, lr=0.0000025, metrics:accuracy:0.8870
INFO:root:12:32:44 [Epoch 4 Batch 6850/12277] loss=0.3714, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:45 [Epoch 4 Batch 6860/12277] loss=0.2813, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:46 [Epoch 4 Batch 6870/12277] loss=0.3371, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:48 [Epoch 4 Batch 6880/12277] loss=0.3113, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:50 [Epoch 4 Batch 6890/12277] loss=0.3381, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:52 [Epoch 4 Batch 6900/12277] loss=0.4212, lr=0.0000024, metrics:accuracy:0.8869
INFO:root:12:32:53 [Epoch 4 Batch 6910/12277] loss=0.3046, lr=0.0000024, metrics:accuracy:0.8869
INFO:root:12:32:55 [Epoch 4 Batch 6920/12277] loss=0.2668, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:57 [Epoch 4 Batch 6930/12277] loss=0.2223, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:32:58 [Epoch 4 Batch 6940/12277] loss=0.3202, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:00 [Epoch 4 Batch 6950/12277] loss=0.2767, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:02 [Epoch 4 Batch 6960/12277] loss=0.2695, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:03 [Epoch 4 Batch 6970/12277] loss=0.3377, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:05 [Epoch 4 Batch 6980/12277] loss=0.3288, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:07 [Epoch 4 Batch 6990/12277] loss=0.3849, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:08 [Epoch 4 Batch 7000/12277] loss=0.2614, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:10 [Epoch 4 Batch 7010/12277] loss=0.2804, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:11 [Epoch 4 Batch 7020/12277] loss=0.2727, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:13 [Epoch 4 Batch 7030/12277] loss=0.2738, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:14 [Epoch 4 Batch 7040/12277] loss=0.3156, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:16 [Epoch 4 Batch 7050/12277] loss=0.3673, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:17 [Epoch 4 Batch 7060/12277] loss=0.2928, lr=0.0000024, metrics:accuracy:0.8870
INFO:root:12:33:19 [Epoch 4 Batch 7070/12277] loss=0.2468, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:21 [Epoch 4 Batch 7080/12277] loss=0.3509, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:22 [Epoch 4 Batch 7090/12277] loss=0.3154, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:24 [Epoch 4 Batch 7100/12277] loss=0.3345, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:26 [Epoch 4 Batch 7110/12277] loss=0.2755, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:28 [Epoch 4 Batch 7120/12277] loss=0.3002, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:29 [Epoch 4 Batch 7130/12277] loss=0.2774, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:31 [Epoch 4 Batch 7140/12277] loss=0.2824, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:32 [Epoch 4 Batch 7150/12277] loss=0.3281, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:34 [Epoch 4 Batch 7160/12277] loss=0.2771, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:36 [Epoch 4 Batch 7170/12277] loss=0.3723, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:37 [Epoch 4 Batch 7180/12277] loss=0.3798, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:39 [Epoch 4 Batch 7190/12277] loss=0.3792, lr=0.0000023, metrics:accuracy:0.8871
INFO:root:12:33:40 [Epoch 4 Batch 7200/12277] loss=0.3323, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:42 [Epoch 4 Batch 7210/12277] loss=0.3105, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:43 [Epoch 4 Batch 7220/12277] loss=0.2876, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:45 [Epoch 4 Batch 7230/12277] loss=0.3441, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:47 [Epoch 4 Batch 7240/12277] loss=0.2944, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:48 [Epoch 4 Batch 7250/12277] loss=0.3526, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:50 [Epoch 4 Batch 7260/12277] loss=0.2473, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:52 [Epoch 4 Batch 7270/12277] loss=0.3113, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:54 [Epoch 4 Batch 7280/12277] loss=0.3062, lr=0.0000023, metrics:accuracy:0.8870
INFO:root:12:33:55 [Epoch 4 Batch 7290/12277] loss=0.2937, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:33:56 [Epoch 4 Batch 7300/12277] loss=0.2523, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:33:58 [Epoch 4 Batch 7310/12277] loss=0.3705, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:33:59 [Epoch 4 Batch 7320/12277] loss=0.2795, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:34:01 [Epoch 4 Batch 7330/12277] loss=0.2836, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:34:02 [Epoch 4 Batch 7340/12277] loss=0.3405, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:34:04 [Epoch 4 Batch 7350/12277] loss=0.2855, lr=0.0000022, metrics:accuracy:0.8870
INFO:root:12:34:05 [Epoch 4 Batch 7360/12277] loss=0.2069, lr=0.0000022, metrics:accuracy:0.8871
INFO:root:12:34:07 [Epoch 4 Batch 7370/12277] loss=0.3126, lr=0.0000022, metrics:accuracy:0.8871
INFO:root:12:34:09 [Epoch 4 Batch 7380/12277] loss=0.2642, lr=0.0000022, metrics:accuracy:0.8871
INFO:root:12:34:10 [Epoch 4 Batch 7390/12277] loss=0.3014, lr=0.0000022, metrics:accuracy:0.8871
INFO:root:12:34:12 [Epoch 4 Batch 7400/12277] loss=0.2505, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:14 [Epoch 4 Batch 7410/12277] loss=0.3159, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:15 [Epoch 4 Batch 7420/12277] loss=0.2754, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:17 [Epoch 4 Batch 7430/12277] loss=0.2908, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:18 [Epoch 4 Batch 7440/12277] loss=0.2978, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:20 [Epoch 4 Batch 7450/12277] loss=0.3687, lr=0.0000022, metrics:accuracy:0.8871
INFO:root:12:34:22 [Epoch 4 Batch 7460/12277] loss=0.2811, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:24 [Epoch 4 Batch 7470/12277] loss=0.2877, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:26 [Epoch 4 Batch 7480/12277] loss=0.3012, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:28 [Epoch 4 Batch 7490/12277] loss=0.4329, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:29 [Epoch 4 Batch 7500/12277] loss=0.3147, lr=0.0000022, metrics:accuracy:0.8872
INFO:root:12:34:31 [Epoch 4 Batch 7510/12277] loss=0.3129, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:33 [Epoch 4 Batch 7520/12277] loss=0.2721, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:34:34 [Epoch 4 Batch 7530/12277] loss=0.2786, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:36 [Epoch 4 Batch 7540/12277] loss=0.3012, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:37 [Epoch 4 Batch 7550/12277] loss=0.3187, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:39 [Epoch 4 Batch 7560/12277] loss=0.3197, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:40 [Epoch 4 Batch 7570/12277] loss=0.2747, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:42 [Epoch 4 Batch 7580/12277] loss=0.3157, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:44 [Epoch 4 Batch 7590/12277] loss=0.3308, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:45 [Epoch 4 Batch 7600/12277] loss=0.3042, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:47 [Epoch 4 Batch 7610/12277] loss=0.3200, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:49 [Epoch 4 Batch 7620/12277] loss=0.3117, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:34:51 [Epoch 4 Batch 7630/12277] loss=0.2902, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:34:52 [Epoch 4 Batch 7640/12277] loss=0.3032, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:34:54 [Epoch 4 Batch 7650/12277] loss=0.3098, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:34:56 [Epoch 4 Batch 7660/12277] loss=0.3272, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:34:57 [Epoch 4 Batch 7670/12277] loss=0.2944, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:34:59 [Epoch 4 Batch 7680/12277] loss=0.3461, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:35:01 [Epoch 4 Batch 7690/12277] loss=0.3132, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:35:03 [Epoch 4 Batch 7700/12277] loss=0.2639, lr=0.0000021, metrics:accuracy:0.8871
INFO:root:12:35:05 [Epoch 4 Batch 7710/12277] loss=0.2804, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:35:07 [Epoch 4 Batch 7720/12277] loss=0.2894, lr=0.0000021, metrics:accuracy:0.8872
INFO:root:12:35:08 [Epoch 4 Batch 7730/12277] loss=0.3902, lr=0.0000020, metrics:accuracy:0.8872
INFO:root:12:35:10 [Epoch 4 Batch 7740/12277] loss=0.2986, lr=0.0000020, metrics:accuracy:0.8872
INFO:root:12:35:12 [Epoch 4 Batch 7750/12277] loss=0.3805, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:13 [Epoch 4 Batch 7760/12277] loss=0.3125, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:15 [Epoch 4 Batch 7770/12277] loss=0.2812, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:17 [Epoch 4 Batch 7780/12277] loss=0.2592, lr=0.0000020, metrics:accuracy:0.8872
INFO:root:12:35:18 [Epoch 4 Batch 7790/12277] loss=0.4112, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:20 [Epoch 4 Batch 7800/12277] loss=0.3009, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:22 [Epoch 4 Batch 7810/12277] loss=0.2799, lr=0.0000020, metrics:accuracy:0.8872
INFO:root:12:35:23 [Epoch 4 Batch 7820/12277] loss=0.3528, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:25 [Epoch 4 Batch 7830/12277] loss=0.3482, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:27 [Epoch 4 Batch 7840/12277] loss=0.2830, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:28 [Epoch 4 Batch 7850/12277] loss=0.3364, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:30 [Epoch 4 Batch 7860/12277] loss=0.3234, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:32 [Epoch 4 Batch 7870/12277] loss=0.3220, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:33 [Epoch 4 Batch 7880/12277] loss=0.3214, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:35 [Epoch 4 Batch 7890/12277] loss=0.3637, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:37 [Epoch 4 Batch 7900/12277] loss=0.3173, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:38 [Epoch 4 Batch 7910/12277] loss=0.3095, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:39 [Epoch 4 Batch 7920/12277] loss=0.3085, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:41 [Epoch 4 Batch 7930/12277] loss=0.2705, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:42 [Epoch 4 Batch 7940/12277] loss=0.3211, lr=0.0000020, metrics:accuracy:0.8871
INFO:root:12:35:44 [Epoch 4 Batch 7950/12277] loss=0.2659, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:35:46 [Epoch 4 Batch 7960/12277] loss=0.3185, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:35:47 [Epoch 4 Batch 7970/12277] loss=0.4029, lr=0.0000019, metrics:accuracy:0.8871
INFO:root:12:35:49 [Epoch 4 Batch 7980/12277] loss=0.3555, lr=0.0000019, metrics:accuracy:0.8871
INFO:root:12:35:51 [Epoch 4 Batch 7990/12277] loss=0.3646, lr=0.0000019, metrics:accuracy:0.8871
INFO:root:12:35:52 [Epoch 4 Batch 8000/12277] loss=0.3107, lr=0.0000019, metrics:accuracy:0.8871
INFO:root:12:35:54 [Epoch 4 Batch 8010/12277] loss=0.2558, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:35:55 [Epoch 4 Batch 8020/12277] loss=0.2761, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:35:57 [Epoch 4 Batch 8030/12277] loss=0.3404, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:35:59 [Epoch 4 Batch 8040/12277] loss=0.3358, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:00 [Epoch 4 Batch 8050/12277] loss=0.2966, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:02 [Epoch 4 Batch 8060/12277] loss=0.2289, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:04 [Epoch 4 Batch 8070/12277] loss=0.2248, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:06 [Epoch 4 Batch 8080/12277] loss=0.3587, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:07 [Epoch 4 Batch 8090/12277] loss=0.2790, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:09 [Epoch 4 Batch 8100/12277] loss=0.2769, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:10 [Epoch 4 Batch 8110/12277] loss=0.3219, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:12 [Epoch 4 Batch 8120/12277] loss=0.3683, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:14 [Epoch 4 Batch 8130/12277] loss=0.2191, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:16 [Epoch 4 Batch 8140/12277] loss=0.3029, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:17 [Epoch 4 Batch 8150/12277] loss=0.2619, lr=0.0000019, metrics:accuracy:0.8872
INFO:root:12:36:19 [Epoch 4 Batch 8160/12277] loss=0.2820, lr=0.0000019, metrics:accuracy:0.8873
INFO:root:12:36:20 [Epoch 4 Batch 8170/12277] loss=0.2695, lr=0.0000019, metrics:accuracy:0.8873
INFO:root:12:36:22 [Epoch 4 Batch 8180/12277] loss=0.3623, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:24 [Epoch 4 Batch 8190/12277] loss=0.2880, lr=0.0000018, metrics:accuracy:0.8873
INFO:root:12:36:25 [Epoch 4 Batch 8200/12277] loss=0.3238, lr=0.0000018, metrics:accuracy:0.8873
INFO:root:12:36:27 [Epoch 4 Batch 8210/12277] loss=0.3805, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:28 [Epoch 4 Batch 8220/12277] loss=0.3117, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:30 [Epoch 4 Batch 8230/12277] loss=0.2510, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:31 [Epoch 4 Batch 8240/12277] loss=0.3038, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:33 [Epoch 4 Batch 8250/12277] loss=0.3428, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:35 [Epoch 4 Batch 8260/12277] loss=0.3971, lr=0.0000018, metrics:accuracy:0.8871
INFO:root:12:36:36 [Epoch 4 Batch 8270/12277] loss=0.2855, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:38 [Epoch 4 Batch 8280/12277] loss=0.3009, lr=0.0000018, metrics:accuracy:0.8871
INFO:root:12:36:40 [Epoch 4 Batch 8290/12277] loss=0.3408, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:41 [Epoch 4 Batch 8300/12277] loss=0.3213, lr=0.0000018, metrics:accuracy:0.8871
INFO:root:12:36:43 [Epoch 4 Batch 8310/12277] loss=0.2569, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:44 [Epoch 4 Batch 8320/12277] loss=0.3517, lr=0.0000018, metrics:accuracy:0.8871
INFO:root:12:36:46 [Epoch 4 Batch 8330/12277] loss=0.3022, lr=0.0000018, metrics:accuracy:0.8871
INFO:root:12:36:48 [Epoch 4 Batch 8340/12277] loss=0.3080, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:50 [Epoch 4 Batch 8350/12277] loss=0.3005, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:51 [Epoch 4 Batch 8360/12277] loss=0.3386, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:52 [Epoch 4 Batch 8370/12277] loss=0.2870, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:54 [Epoch 4 Batch 8380/12277] loss=0.3186, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:55 [Epoch 4 Batch 8390/12277] loss=0.2871, lr=0.0000018, metrics:accuracy:0.8872
INFO:root:12:36:57 [Epoch 4 Batch 8400/12277] loss=0.3580, lr=0.0000017, metrics:accuracy:0.8872
INFO:root:12:36:59 [Epoch 4 Batch 8410/12277] loss=0.3510, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:01 [Epoch 4 Batch 8420/12277] loss=0.3082, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:03 [Epoch 4 Batch 8430/12277] loss=0.2751, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:04 [Epoch 4 Batch 8440/12277] loss=0.3864, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:06 [Epoch 4 Batch 8450/12277] loss=0.3019, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:08 [Epoch 4 Batch 8460/12277] loss=0.2974, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:09 [Epoch 4 Batch 8470/12277] loss=0.3240, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:11 [Epoch 4 Batch 8480/12277] loss=0.3095, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:12 [Epoch 4 Batch 8490/12277] loss=0.3348, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:14 [Epoch 4 Batch 8500/12277] loss=0.2946, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:16 [Epoch 4 Batch 8510/12277] loss=0.3163, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:18 [Epoch 4 Batch 8520/12277] loss=0.3328, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:19 [Epoch 4 Batch 8530/12277] loss=0.3485, lr=0.0000017, metrics:accuracy:0.8870
INFO:root:12:37:21 [Epoch 4 Batch 8540/12277] loss=0.2540, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:22 [Epoch 4 Batch 8550/12277] loss=0.2649, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:24 [Epoch 4 Batch 8560/12277] loss=0.2984, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:25 [Epoch 4 Batch 8570/12277] loss=0.3323, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:27 [Epoch 4 Batch 8580/12277] loss=0.2851, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:29 [Epoch 4 Batch 8590/12277] loss=0.3387, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:30 [Epoch 4 Batch 8600/12277] loss=0.3117, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:32 [Epoch 4 Batch 8610/12277] loss=0.3495, lr=0.0000017, metrics:accuracy:0.8871
INFO:root:12:37:34 [Epoch 4 Batch 8620/12277] loss=0.3041, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:37:35 [Epoch 4 Batch 8630/12277] loss=0.3670, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:37:37 [Epoch 4 Batch 8640/12277] loss=0.3495, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:38 [Epoch 4 Batch 8650/12277] loss=0.3548, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:40 [Epoch 4 Batch 8660/12277] loss=0.3314, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:42 [Epoch 4 Batch 8670/12277] loss=0.2707, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:43 [Epoch 4 Batch 8680/12277] loss=0.3474, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:45 [Epoch 4 Batch 8690/12277] loss=0.2807, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:47 [Epoch 4 Batch 8700/12277] loss=0.3134, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:49 [Epoch 4 Batch 8710/12277] loss=0.3102, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:50 [Epoch 4 Batch 8720/12277] loss=0.3640, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:52 [Epoch 4 Batch 8730/12277] loss=0.2424, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:53 [Epoch 4 Batch 8740/12277] loss=0.3042, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:55 [Epoch 4 Batch 8750/12277] loss=0.3275, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:37:56 [Epoch 4 Batch 8760/12277] loss=0.3346, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:37:58 [Epoch 4 Batch 8770/12277] loss=0.2561, lr=0.0000016, metrics:accuracy:0.8871
INFO:root:12:38:00 [Epoch 4 Batch 8780/12277] loss=0.2807, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:38:01 [Epoch 4 Batch 8790/12277] loss=0.2537, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:38:03 [Epoch 4 Batch 8800/12277] loss=0.2648, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:38:04 [Epoch 4 Batch 8810/12277] loss=0.2901, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:38:06 [Epoch 4 Batch 8820/12277] loss=0.3101, lr=0.0000016, metrics:accuracy:0.8872
INFO:root:12:38:08 [Epoch 4 Batch 8830/12277] loss=0.2602, lr=0.0000016, metrics:accuracy:0.8873
INFO:root:12:38:10 [Epoch 4 Batch 8840/12277] loss=0.2652, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:12 [Epoch 4 Batch 8850/12277] loss=0.3087, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:13 [Epoch 4 Batch 8860/12277] loss=0.2745, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:15 [Epoch 4 Batch 8870/12277] loss=0.3552, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:16 [Epoch 4 Batch 8880/12277] loss=0.3123, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:18 [Epoch 4 Batch 8890/12277] loss=0.2714, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:20 [Epoch 4 Batch 8900/12277] loss=0.3873, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:21 [Epoch 4 Batch 8910/12277] loss=0.2802, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:23 [Epoch 4 Batch 8920/12277] loss=0.2789, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:25 [Epoch 4 Batch 8930/12277] loss=0.2680, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:26 [Epoch 4 Batch 8940/12277] loss=0.2832, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:28 [Epoch 4 Batch 8950/12277] loss=0.3589, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:30 [Epoch 4 Batch 8960/12277] loss=0.2725, lr=0.0000015, metrics:accuracy:0.8873
INFO:root:12:38:31 [Epoch 4 Batch 8970/12277] loss=0.3187, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:33 [Epoch 4 Batch 8980/12277] loss=0.3136, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:34 [Epoch 4 Batch 8990/12277] loss=0.2787, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:36 [Epoch 4 Batch 9000/12277] loss=0.3245, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:38 [Epoch 4 Batch 9010/12277] loss=0.3467, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:39 [Epoch 4 Batch 9020/12277] loss=0.2775, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:41 [Epoch 4 Batch 9030/12277] loss=0.3014, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:42 [Epoch 4 Batch 9040/12277] loss=0.3262, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:44 [Epoch 4 Batch 9050/12277] loss=0.3117, lr=0.0000015, metrics:accuracy:0.8874
INFO:root:12:38:46 [Epoch 4 Batch 9060/12277] loss=0.3330, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:48 [Epoch 4 Batch 9070/12277] loss=0.2500, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:50 [Epoch 4 Batch 9080/12277] loss=0.3610, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:52 [Epoch 4 Batch 9090/12277] loss=0.3240, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:53 [Epoch 4 Batch 9100/12277] loss=0.3177, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:55 [Epoch 4 Batch 9110/12277] loss=0.2398, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:56 [Epoch 4 Batch 9120/12277] loss=0.2874, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:38:58 [Epoch 4 Batch 9130/12277] loss=0.2746, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:00 [Epoch 4 Batch 9140/12277] loss=0.3386, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:02 [Epoch 4 Batch 9150/12277] loss=0.3068, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:04 [Epoch 4 Batch 9160/12277] loss=0.2628, lr=0.0000014, metrics:accuracy:0.8875
INFO:root:12:39:05 [Epoch 4 Batch 9170/12277] loss=0.3790, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:07 [Epoch 4 Batch 9180/12277] loss=0.3913, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:08 [Epoch 4 Batch 9190/12277] loss=0.3631, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:10 [Epoch 4 Batch 9200/12277] loss=0.3499, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:12 [Epoch 4 Batch 9210/12277] loss=0.3092, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:13 [Epoch 4 Batch 9220/12277] loss=0.2336, lr=0.0000014, metrics:accuracy:0.8874
INFO:root:12:39:15 [Epoch 4 Batch 9230/12277] loss=0.3407, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:17 [Epoch 4 Batch 9240/12277] loss=0.3210, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:18 [Epoch 4 Batch 9250/12277] loss=0.3864, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:20 [Epoch 4 Batch 9260/12277] loss=0.3185, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:22 [Epoch 4 Batch 9270/12277] loss=0.3714, lr=0.0000014, metrics:accuracy:0.8873
INFO:root:12:39:23 [Epoch 4 Batch 9280/12277] loss=0.2613, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:25 [Epoch 4 Batch 9290/12277] loss=0.3570, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:27 [Epoch 4 Batch 9300/12277] loss=0.3286, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:28 [Epoch 4 Batch 9310/12277] loss=0.2614, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:30 [Epoch 4 Batch 9320/12277] loss=0.2792, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:31 [Epoch 4 Batch 9330/12277] loss=0.3070, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:33 [Epoch 4 Batch 9340/12277] loss=0.3320, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:35 [Epoch 4 Batch 9350/12277] loss=0.2634, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:37 [Epoch 4 Batch 9360/12277] loss=0.3223, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:38 [Epoch 4 Batch 9370/12277] loss=0.2657, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:40 [Epoch 4 Batch 9380/12277] loss=0.3449, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:42 [Epoch 4 Batch 9390/12277] loss=0.3104, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:43 [Epoch 4 Batch 9400/12277] loss=0.2750, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:45 [Epoch 4 Batch 9410/12277] loss=0.2878, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:47 [Epoch 4 Batch 9420/12277] loss=0.2906, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:48 [Epoch 4 Batch 9430/12277] loss=0.2849, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:50 [Epoch 4 Batch 9440/12277] loss=0.3198, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:52 [Epoch 4 Batch 9450/12277] loss=0.3004, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:53 [Epoch 4 Batch 9460/12277] loss=0.3027, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:55 [Epoch 4 Batch 9470/12277] loss=0.3100, lr=0.0000013, metrics:accuracy:0.8873
INFO:root:12:39:57 [Epoch 4 Batch 9480/12277] loss=0.2247, lr=0.0000013, metrics:accuracy:0.8874
INFO:root:12:39:58 [Epoch 4 Batch 9490/12277] loss=0.3275, lr=0.0000013, metrics:accuracy:0.8874
INFO:root:12:40:00 [Epoch 4 Batch 9500/12277] loss=0.3813, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:02 [Epoch 4 Batch 9510/12277] loss=0.3441, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:04 [Epoch 4 Batch 9520/12277] loss=0.3007, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:05 [Epoch 4 Batch 9530/12277] loss=0.3391, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:07 [Epoch 4 Batch 9540/12277] loss=0.2730, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:09 [Epoch 4 Batch 9550/12277] loss=0.3752, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:10 [Epoch 4 Batch 9560/12277] loss=0.2959, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:12 [Epoch 4 Batch 9570/12277] loss=0.3606, lr=0.0000012, metrics:accuracy:0.8872
INFO:root:12:40:14 [Epoch 4 Batch 9580/12277] loss=0.3428, lr=0.0000012, metrics:accuracy:0.8872
INFO:root:12:40:16 [Epoch 4 Batch 9590/12277] loss=0.3219, lr=0.0000012, metrics:accuracy:0.8872
INFO:root:12:40:17 [Epoch 4 Batch 9600/12277] loss=0.3180, lr=0.0000012, metrics:accuracy:0.8872
INFO:root:12:40:19 [Epoch 4 Batch 9610/12277] loss=0.2973, lr=0.0000012, metrics:accuracy:0.8872
INFO:root:12:40:20 [Epoch 4 Batch 9620/12277] loss=0.2249, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:22 [Epoch 4 Batch 9630/12277] loss=0.3587, lr=0.0000012, metrics:accuracy:0.8872
INFO:root:12:40:23 [Epoch 4 Batch 9640/12277] loss=0.2674, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:25 [Epoch 4 Batch 9650/12277] loss=0.2974, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:27 [Epoch 4 Batch 9660/12277] loss=0.3282, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:28 [Epoch 4 Batch 9670/12277] loss=0.3016, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:30 [Epoch 4 Batch 9680/12277] loss=0.3300, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:31 [Epoch 4 Batch 9690/12277] loss=0.3509, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:32 [Epoch 4 Batch 9700/12277] loss=0.3164, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:35 [Epoch 4 Batch 9710/12277] loss=0.3819, lr=0.0000012, metrics:accuracy:0.8873
INFO:root:12:40:36 [Epoch 4 Batch 9720/12277] loss=0.3237, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:38 [Epoch 4 Batch 9730/12277] loss=0.2974, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:40 [Epoch 4 Batch 9740/12277] loss=0.3118, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:41 [Epoch 4 Batch 9750/12277] loss=0.3181, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:42 [Epoch 4 Batch 9760/12277] loss=0.2725, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:44 [Epoch 4 Batch 9770/12277] loss=0.2497, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:46 [Epoch 4 Batch 9780/12277] loss=0.3496, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:48 [Epoch 4 Batch 9790/12277] loss=0.2930, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:49 [Epoch 4 Batch 9800/12277] loss=0.2936, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:51 [Epoch 4 Batch 9810/12277] loss=0.3552, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:52 [Epoch 4 Batch 9820/12277] loss=0.3325, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:54 [Epoch 4 Batch 9830/12277] loss=0.3596, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:55 [Epoch 4 Batch 9840/12277] loss=0.2185, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:57 [Epoch 4 Batch 9850/12277] loss=0.2958, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:40:59 [Epoch 4 Batch 9860/12277] loss=0.2556, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:00 [Epoch 4 Batch 9870/12277] loss=0.3742, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:02 [Epoch 4 Batch 9880/12277] loss=0.3004, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:03 [Epoch 4 Batch 9890/12277] loss=0.3450, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:05 [Epoch 4 Batch 9900/12277] loss=0.2950, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:06 [Epoch 4 Batch 9910/12277] loss=0.2530, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:08 [Epoch 4 Batch 9920/12277] loss=0.2929, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:09 [Epoch 4 Batch 9930/12277] loss=0.3871, lr=0.0000011, metrics:accuracy:0.8873
INFO:root:12:41:11 [Epoch 4 Batch 9940/12277] loss=0.3441, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:13 [Epoch 4 Batch 9950/12277] loss=0.2992, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:15 [Epoch 4 Batch 9960/12277] loss=0.3500, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:16 [Epoch 4 Batch 9970/12277] loss=0.3584, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:18 [Epoch 4 Batch 9980/12277] loss=0.2174, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:20 [Epoch 4 Batch 9990/12277] loss=0.2938, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:22 [Epoch 4 Batch 10000/12277] loss=0.3018, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:24 [Epoch 4 Batch 10010/12277] loss=0.2692, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:25 [Epoch 4 Batch 10020/12277] loss=0.3132, lr=0.0000010, metrics:accuracy:0.8873
INFO:root:12:41:27 [Epoch 4 Batch 10030/12277] loss=0.3041, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:29 [Epoch 4 Batch 10040/12277] loss=0.2541, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:31 [Epoch 4 Batch 10050/12277] loss=0.2997, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:32 [Epoch 4 Batch 10060/12277] loss=0.2610, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:33 [Epoch 4 Batch 10070/12277] loss=0.3682, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:35 [Epoch 4 Batch 10080/12277] loss=0.3340, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:37 [Epoch 4 Batch 10090/12277] loss=0.2543, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:38 [Epoch 4 Batch 10100/12277] loss=0.2773, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:40 [Epoch 4 Batch 10110/12277] loss=0.3332, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:41 [Epoch 4 Batch 10120/12277] loss=0.2780, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:43 [Epoch 4 Batch 10130/12277] loss=0.2933, lr=0.0000010, metrics:accuracy:0.8875
INFO:root:12:41:44 [Epoch 4 Batch 10140/12277] loss=0.3397, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:46 [Epoch 4 Batch 10150/12277] loss=0.3043, lr=0.0000010, metrics:accuracy:0.8874
INFO:root:12:41:48 [Epoch 4 Batch 10160/12277] loss=0.3435, lr=0.0000009, metrics:accuracy:0.8874
INFO:root:12:41:50 [Epoch 4 Batch 10170/12277] loss=0.2881, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:41:51 [Epoch 4 Batch 10180/12277] loss=0.3068, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:41:53 [Epoch 4 Batch 10190/12277] loss=0.3117, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:41:55 [Epoch 4 Batch 10200/12277] loss=0.3277, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:41:57 [Epoch 4 Batch 10210/12277] loss=0.2830, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:41:58 [Epoch 4 Batch 10220/12277] loss=0.3594, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:00 [Epoch 4 Batch 10230/12277] loss=0.2588, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:01 [Epoch 4 Batch 10240/12277] loss=0.3146, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:03 [Epoch 4 Batch 10250/12277] loss=0.2851, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:05 [Epoch 4 Batch 10260/12277] loss=0.3103, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:06 [Epoch 4 Batch 10270/12277] loss=0.3390, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:08 [Epoch 4 Batch 10280/12277] loss=0.2725, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:10 [Epoch 4 Batch 10290/12277] loss=0.2707, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:12 [Epoch 4 Batch 10300/12277] loss=0.3372, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:13 [Epoch 4 Batch 10310/12277] loss=0.2931, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:15 [Epoch 4 Batch 10320/12277] loss=0.2656, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:16 [Epoch 4 Batch 10330/12277] loss=0.3333, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:18 [Epoch 4 Batch 10340/12277] loss=0.3368, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:20 [Epoch 4 Batch 10350/12277] loss=0.3419, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:22 [Epoch 4 Batch 10360/12277] loss=0.3353, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:24 [Epoch 4 Batch 10370/12277] loss=0.3048, lr=0.0000009, metrics:accuracy:0.8875
INFO:root:12:42:25 [Epoch 4 Batch 10380/12277] loss=0.3056, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:27 [Epoch 4 Batch 10390/12277] loss=0.2828, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:28 [Epoch 4 Batch 10400/12277] loss=0.2800, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:30 [Epoch 4 Batch 10410/12277] loss=0.2744, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:32 [Epoch 4 Batch 10420/12277] loss=0.3441, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:33 [Epoch 4 Batch 10430/12277] loss=0.3408, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:34 [Epoch 4 Batch 10440/12277] loss=0.2841, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:36 [Epoch 4 Batch 10450/12277] loss=0.2944, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:37 [Epoch 4 Batch 10460/12277] loss=0.2427, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:39 [Epoch 4 Batch 10470/12277] loss=0.3719, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:41 [Epoch 4 Batch 10480/12277] loss=0.3092, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:42 [Epoch 4 Batch 10490/12277] loss=0.3552, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:44 [Epoch 4 Batch 10500/12277] loss=0.3119, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:45 [Epoch 4 Batch 10510/12277] loss=0.2631, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:47 [Epoch 4 Batch 10520/12277] loss=0.3220, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:48 [Epoch 4 Batch 10530/12277] loss=0.3503, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:50 [Epoch 4 Batch 10540/12277] loss=0.3285, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:51 [Epoch 4 Batch 10550/12277] loss=0.3160, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:53 [Epoch 4 Batch 10560/12277] loss=0.2574, lr=0.0000008, metrics:accuracy:0.8875
INFO:root:12:42:55 [Epoch 4 Batch 10570/12277] loss=0.2566, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:56 [Epoch 4 Batch 10580/12277] loss=0.2606, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:57 [Epoch 4 Batch 10590/12277] loss=0.3047, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:42:59 [Epoch 4 Batch 10600/12277] loss=0.3026, lr=0.0000008, metrics:accuracy:0.8876
INFO:root:12:43:01 [Epoch 4 Batch 10610/12277] loss=0.3042, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:02 [Epoch 4 Batch 10620/12277] loss=0.3447, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:04 [Epoch 4 Batch 10630/12277] loss=0.3450, lr=0.0000007, metrics:accuracy:0.8875
INFO:root:12:43:06 [Epoch 4 Batch 10640/12277] loss=0.2526, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:07 [Epoch 4 Batch 10650/12277] loss=0.2897, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:09 [Epoch 4 Batch 10660/12277] loss=0.3295, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:11 [Epoch 4 Batch 10670/12277] loss=0.3106, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:12 [Epoch 4 Batch 10680/12277] loss=0.2745, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:14 [Epoch 4 Batch 10690/12277] loss=0.2905, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:16 [Epoch 4 Batch 10700/12277] loss=0.2675, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:17 [Epoch 4 Batch 10710/12277] loss=0.3731, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:19 [Epoch 4 Batch 10720/12277] loss=0.2609, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:20 [Epoch 4 Batch 10730/12277] loss=0.3267, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:22 [Epoch 4 Batch 10740/12277] loss=0.3420, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:23 [Epoch 4 Batch 10750/12277] loss=0.3645, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:25 [Epoch 4 Batch 10760/12277] loss=0.3522, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:26 [Epoch 4 Batch 10770/12277] loss=0.3231, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:28 [Epoch 4 Batch 10780/12277] loss=0.3254, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:29 [Epoch 4 Batch 10790/12277] loss=0.3693, lr=0.0000007, metrics:accuracy:0.8875
INFO:root:12:43:31 [Epoch 4 Batch 10800/12277] loss=0.2558, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:33 [Epoch 4 Batch 10810/12277] loss=0.2354, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:35 [Epoch 4 Batch 10820/12277] loss=0.2003, lr=0.0000007, metrics:accuracy:0.8876
INFO:root:12:43:36 [Epoch 4 Batch 10830/12277] loss=0.3156, lr=0.0000006, metrics:accuracy:0.8876
INFO:root:12:43:38 [Epoch 4 Batch 10840/12277] loss=0.3393, lr=0.0000006, metrics:accuracy:0.8876
INFO:root:12:43:39 [Epoch 4 Batch 10850/12277] loss=0.2831, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:41 [Epoch 4 Batch 10860/12277] loss=0.2583, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:43 [Epoch 4 Batch 10870/12277] loss=0.2677, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:44 [Epoch 4 Batch 10880/12277] loss=0.3666, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:46 [Epoch 4 Batch 10890/12277] loss=0.2861, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:47 [Epoch 4 Batch 10900/12277] loss=0.2730, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:48 [Epoch 4 Batch 10910/12277] loss=0.2953, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:50 [Epoch 4 Batch 10920/12277] loss=0.2712, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:52 [Epoch 4 Batch 10930/12277] loss=0.2792, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:54 [Epoch 4 Batch 10940/12277] loss=0.3162, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:43:56 [Epoch 4 Batch 10950/12277] loss=0.2265, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:43:57 [Epoch 4 Batch 10960/12277] loss=0.2578, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:43:59 [Epoch 4 Batch 10970/12277] loss=0.2755, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:44:01 [Epoch 4 Batch 10980/12277] loss=0.3463, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:44:02 [Epoch 4 Batch 10990/12277] loss=0.2656, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:44:04 [Epoch 4 Batch 11000/12277] loss=0.3204, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:44:06 [Epoch 4 Batch 11010/12277] loss=0.4030, lr=0.0000006, metrics:accuracy:0.8878
INFO:root:12:44:07 [Epoch 4 Batch 11020/12277] loss=0.3053, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:44:09 [Epoch 4 Batch 11030/12277] loss=0.2906, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:44:10 [Epoch 4 Batch 11040/12277] loss=0.3101, lr=0.0000006, metrics:accuracy:0.8877
INFO:root:12:44:12 [Epoch 4 Batch 11050/12277] loss=0.3239, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:14 [Epoch 4 Batch 11060/12277] loss=0.4425, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:15 [Epoch 4 Batch 11070/12277] loss=0.3163, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:18 [Epoch 4 Batch 11080/12277] loss=0.3121, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:19 [Epoch 4 Batch 11090/12277] loss=0.2831, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:21 [Epoch 4 Batch 11100/12277] loss=0.3263, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:22 [Epoch 4 Batch 11110/12277] loss=0.2467, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:24 [Epoch 4 Batch 11120/12277] loss=0.3215, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:25 [Epoch 4 Batch 11130/12277] loss=0.3472, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:27 [Epoch 4 Batch 11140/12277] loss=0.3892, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:28 [Epoch 4 Batch 11150/12277] loss=0.3306, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:30 [Epoch 4 Batch 11160/12277] loss=0.2856, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:31 [Epoch 4 Batch 11170/12277] loss=0.2894, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:33 [Epoch 4 Batch 11180/12277] loss=0.4002, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:34 [Epoch 4 Batch 11190/12277] loss=0.3174, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:36 [Epoch 4 Batch 11200/12277] loss=0.2270, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:37 [Epoch 4 Batch 11210/12277] loss=0.3953, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:39 [Epoch 4 Batch 11220/12277] loss=0.3121, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:40 [Epoch 4 Batch 11230/12277] loss=0.3539, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:42 [Epoch 4 Batch 11240/12277] loss=0.3376, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:44 [Epoch 4 Batch 11250/12277] loss=0.2493, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:46 [Epoch 4 Batch 11260/12277] loss=0.3225, lr=0.0000005, metrics:accuracy:0.8877
INFO:root:12:44:47 [Epoch 4 Batch 11270/12277] loss=0.3152, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:44:49 [Epoch 4 Batch 11280/12277] loss=0.3267, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:44:50 [Epoch 4 Batch 11290/12277] loss=0.3096, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:44:52 [Epoch 4 Batch 11300/12277] loss=0.2859, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:44:53 [Epoch 4 Batch 11310/12277] loss=0.3092, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:44:55 [Epoch 4 Batch 11320/12277] loss=0.3581, lr=0.0000004, metrics:accuracy:0.8876
INFO:root:12:44:56 [Epoch 4 Batch 11330/12277] loss=0.2466, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:44:58 [Epoch 4 Batch 11340/12277] loss=0.2963, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:00 [Epoch 4 Batch 11350/12277] loss=0.2082, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:01 [Epoch 4 Batch 11360/12277] loss=0.2730, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:03 [Epoch 4 Batch 11370/12277] loss=0.3570, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:05 [Epoch 4 Batch 11380/12277] loss=0.3273, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:06 [Epoch 4 Batch 11390/12277] loss=0.2695, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:08 [Epoch 4 Batch 11400/12277] loss=0.2790, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:09 [Epoch 4 Batch 11410/12277] loss=0.2645, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:11 [Epoch 4 Batch 11420/12277] loss=0.3114, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:13 [Epoch 4 Batch 11430/12277] loss=0.2864, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:14 [Epoch 4 Batch 11440/12277] loss=0.3477, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:16 [Epoch 4 Batch 11450/12277] loss=0.2786, lr=0.0000004, metrics:accuracy:0.8877
INFO:root:12:45:17 [Epoch 4 Batch 11460/12277] loss=0.2327, lr=0.0000004, metrics:accuracy:0.8878
INFO:root:12:45:19 [Epoch 4 Batch 11470/12277] loss=0.3351, lr=0.0000004, metrics:accuracy:0.8878
INFO:root:12:45:20 [Epoch 4 Batch 11480/12277] loss=0.3074, lr=0.0000004, metrics:accuracy:0.8878
INFO:root:12:45:22 [Epoch 4 Batch 11490/12277] loss=0.3056, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:23 [Epoch 4 Batch 11500/12277] loss=0.2814, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:25 [Epoch 4 Batch 11510/12277] loss=0.3254, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:27 [Epoch 4 Batch 11520/12277] loss=0.3500, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:28 [Epoch 4 Batch 11530/12277] loss=0.2863, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:30 [Epoch 4 Batch 11540/12277] loss=0.3474, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:31 [Epoch 4 Batch 11550/12277] loss=0.2666, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:33 [Epoch 4 Batch 11560/12277] loss=0.3022, lr=0.0000003, metrics:accuracy:0.8878
INFO:root:12:45:34 [Epoch 4 Batch 11570/12277] loss=0.4229, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:36 [Epoch 4 Batch 11580/12277] loss=0.3295, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:38 [Epoch 4 Batch 11590/12277] loss=0.2967, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:39 [Epoch 4 Batch 11600/12277] loss=0.2711, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:41 [Epoch 4 Batch 11610/12277] loss=0.3282, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:42 [Epoch 4 Batch 11620/12277] loss=0.2672, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:44 [Epoch 4 Batch 11630/12277] loss=0.3847, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:45 [Epoch 4 Batch 11640/12277] loss=0.2905, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:47 [Epoch 4 Batch 11650/12277] loss=0.2497, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:49 [Epoch 4 Batch 11660/12277] loss=0.4148, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:50 [Epoch 4 Batch 11670/12277] loss=0.2793, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:52 [Epoch 4 Batch 11680/12277] loss=0.4053, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:53 [Epoch 4 Batch 11690/12277] loss=0.2721, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:55 [Epoch 4 Batch 11700/12277] loss=0.2646, lr=0.0000003, metrics:accuracy:0.8877
INFO:root:12:45:57 [Epoch 4 Batch 11710/12277] loss=0.3198, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:45:59 [Epoch 4 Batch 11720/12277] loss=0.3374, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:00 [Epoch 4 Batch 11730/12277] loss=0.3330, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:02 [Epoch 4 Batch 11740/12277] loss=0.3565, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:03 [Epoch 4 Batch 11750/12277] loss=0.3031, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:05 [Epoch 4 Batch 11760/12277] loss=0.3431, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:07 [Epoch 4 Batch 11770/12277] loss=0.3265, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:09 [Epoch 4 Batch 11780/12277] loss=0.3576, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:10 [Epoch 4 Batch 11790/12277] loss=0.2702, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:12 [Epoch 4 Batch 11800/12277] loss=0.3415, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:13 [Epoch 4 Batch 11810/12277] loss=0.2615, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:15 [Epoch 4 Batch 11820/12277] loss=0.3353, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:16 [Epoch 4 Batch 11830/12277] loss=0.2868, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:18 [Epoch 4 Batch 11840/12277] loss=0.2893, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:19 [Epoch 4 Batch 11850/12277] loss=0.2543, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:21 [Epoch 4 Batch 11860/12277] loss=0.3353, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:23 [Epoch 4 Batch 11870/12277] loss=0.2707, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:24 [Epoch 4 Batch 11880/12277] loss=0.3340, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:26 [Epoch 4 Batch 11890/12277] loss=0.2856, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:28 [Epoch 4 Batch 11900/12277] loss=0.3470, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:29 [Epoch 4 Batch 11910/12277] loss=0.2912, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:31 [Epoch 4 Batch 11920/12277] loss=0.3157, lr=0.0000002, metrics:accuracy:0.8877
INFO:root:12:46:32 [Epoch 4 Batch 11930/12277] loss=0.2966, lr=0.0000001, metrics:accuracy:0.8877
INFO:root:12:46:34 [Epoch 4 Batch 11940/12277] loss=0.4143, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:35 [Epoch 4 Batch 11950/12277] loss=0.3323, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:37 [Epoch 4 Batch 11960/12277] loss=0.3615, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:38 [Epoch 4 Batch 11970/12277] loss=0.3277, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:40 [Epoch 4 Batch 11980/12277] loss=0.2927, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:41 [Epoch 4 Batch 11990/12277] loss=0.2889, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:43 [Epoch 4 Batch 12000/12277] loss=0.2847, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:44 [Epoch 4 Batch 12010/12277] loss=0.3547, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:46 [Epoch 4 Batch 12020/12277] loss=0.3470, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:48 [Epoch 4 Batch 12030/12277] loss=0.2878, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:49 [Epoch 4 Batch 12040/12277] loss=0.2892, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:51 [Epoch 4 Batch 12050/12277] loss=0.2988, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:52 [Epoch 4 Batch 12060/12277] loss=0.3098, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:54 [Epoch 4 Batch 12070/12277] loss=0.3633, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:56 [Epoch 4 Batch 12080/12277] loss=0.2564, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:57 [Epoch 4 Batch 12090/12277] loss=0.3203, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:46:59 [Epoch 4 Batch 12100/12277] loss=0.3106, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:47:01 [Epoch 4 Batch 12110/12277] loss=0.2714, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:47:02 [Epoch 4 Batch 12120/12277] loss=0.2716, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:47:04 [Epoch 4 Batch 12130/12277] loss=0.3119, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:47:05 [Epoch 4 Batch 12140/12277] loss=0.3892, lr=0.0000001, metrics:accuracy:0.8876
INFO:root:12:47:07 [Epoch 4 Batch 12150/12277] loss=0.3446, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:08 [Epoch 4 Batch 12160/12277] loss=0.3352, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:10 [Epoch 4 Batch 12170/12277] loss=0.3077, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:12 [Epoch 4 Batch 12180/12277] loss=0.3173, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:13 [Epoch 4 Batch 12190/12277] loss=0.2521, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:15 [Epoch 4 Batch 12200/12277] loss=0.2986, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:17 [Epoch 4 Batch 12210/12277] loss=0.3315, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:19 [Epoch 4 Batch 12220/12277] loss=0.2833, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:20 [Epoch 4 Batch 12230/12277] loss=0.2592, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:22 [Epoch 4 Batch 12240/12277] loss=0.3051, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:24 [Epoch 4 Batch 12250/12277] loss=0.3338, lr=0.0000000, metrics:accuracy:0.8876
INFO:root:12:47:25 Finish training step: 49087
INFO:root:12:47:25 Now we are doing evaluation on dev with gpu(0).
INFO:root:12:47:25 [Batch 10/312] loss=0.4307, metrics:accuracy:0.8625
INFO:root:12:47:25 [Batch 20/312] loss=0.6235, metrics:accuracy:0.8375
INFO:root:12:47:25 [Batch 30/312] loss=0.6885, metrics:accuracy:0.8125
INFO:root:12:47:25 [Batch 40/312] loss=0.6980, metrics:accuracy:0.7937
INFO:root:12:47:25 [Batch 50/312] loss=0.6766, metrics:accuracy:0.7825
INFO:root:12:47:26 [Batch 60/312] loss=0.5388, metrics:accuracy:0.7896
INFO:root:12:47:26 [Batch 70/312] loss=0.5905, metrics:accuracy:0.7964
INFO:root:12:47:26 [Batch 80/312] loss=0.7540, metrics:accuracy:0.7937
INFO:root:12:47:26 [Batch 90/312] loss=0.8798, metrics:accuracy:0.7903
INFO:root:12:47:26 [Batch 100/312] loss=0.7334, metrics:accuracy:0.7900
INFO:root:12:47:27 [Batch 110/312] loss=0.5086, metrics:accuracy:0.7932
INFO:root:12:47:27 [Batch 120/312] loss=0.6910, metrics:accuracy:0.7906
INFO:root:12:47:27 [Batch 130/312] loss=0.6029, metrics:accuracy:0.7923
INFO:root:12:47:27 [Batch 140/312] loss=0.5181, metrics:accuracy:0.7920
INFO:root:12:47:27 [Batch 150/312] loss=1.0727, metrics:accuracy:0.7875
INFO:root:12:47:28 [Batch 160/312] loss=0.6675, metrics:accuracy:0.7867
INFO:root:12:47:28 [Batch 170/312] loss=0.4629, metrics:accuracy:0.7904
INFO:root:12:47:28 [Batch 180/312] loss=0.6276, metrics:accuracy:0.7931
INFO:root:12:47:28 [Batch 190/312] loss=0.7370, metrics:accuracy:0.7928
INFO:root:12:47:28 [Batch 200/312] loss=1.0509, metrics:accuracy:0.7875
INFO:root:12:47:29 [Batch 210/312] loss=0.6327, metrics:accuracy:0.7887
INFO:root:12:47:29 [Batch 220/312] loss=0.5207, metrics:accuracy:0.7898
INFO:root:12:47:29 [Batch 230/312] loss=0.6051, metrics:accuracy:0.7880
INFO:root:12:47:29 [Batch 240/312] loss=0.5102, metrics:accuracy:0.7891
INFO:root:12:47:29 [Batch 250/312] loss=0.5705, metrics:accuracy:0.7900
INFO:root:12:47:29 [Batch 260/312] loss=0.8271, metrics:accuracy:0.7880
INFO:root:12:47:30 [Batch 270/312] loss=0.5457, metrics:accuracy:0.7889
INFO:root:12:47:30 [Batch 280/312] loss=0.6426, metrics:accuracy:0.7866
INFO:root:12:47:30 [Batch 290/312] loss=0.9481, metrics:accuracy:0.7806
INFO:root:12:47:30 [Batch 300/312] loss=0.8398, metrics:accuracy:0.7808
INFO:root:12:47:30 [Batch 310/312] loss=0.8225, metrics:accuracy:0.7778
INFO:root:12:47:30 validation metrics:accuracy:0.7783
INFO:root:12:47:30 Time cost=5.93s, throughput=420.64 samples/s
INFO:root:12:47:31 params saved in: ./output_dir/model_bert_XNLI_3.params
INFO:root:12:47:31 Time cost=2008.08s
INFO:root:12:47:31 Best model at epoch 1. Validation metrics:accuracy:0.7843
INFO:root:12:47:31 Now we are doing testing on test with gpu(0).
INFO:root:12:47:42 Time cost=11.17s, throughput=449.05 samples/s