{'rocket': 69, 'vehicle2': 19, 'veg': 4, 'mushroom': 51, 'people': 14, 'baby': 2, 'electrical_devices': 5, 'lamp': 40, 'natural_scenes': 10, 'sea': 71, '42': 42, '1': 1, '10': 10, '20': 20, '30': 30, '40': 40}
4

[BEFORE (seed=2)] Sizes:
Retain TRAIN: 49750 | Forget TRAIN: 250
Retain VALID: 9500 | Forget VALID: 500
Class distributions:
  Retain TRAIN : [2500, 2500, 2500, 2500, 2250, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500]
  Retain VALID : [500, 500, 500, 500, 0, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500]
  Forget TRAIN : [0, 0, 0, 0, 250, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
  Forget VALID : [0, 0, 0, 0, 500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

[AFTER (seed=2, post_transfer=25%)] Sizes:
Retain TRAIN: 49812 | Forget TRAIN: 188
Retain VALID: 9500 | Forget VALID: 500
Class distributions:
  Retain TRAIN : [2500, 2500, 2500, 2500, 2312, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500]
  Retain VALID : [500, 500, 500, 500, 0, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500]
  Forget TRAIN : [0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
  Forget VALID : [0, 0, 0, 0, 500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [64/49812]	Loss: 2.9938	LR: 0.000000
Training Epoch: 1 [128/49812]	Loss: 3.0436	LR: 0.000128
Training Epoch: 1 [192/49812]	Loss: 3.0672	LR: 0.000257
Training Epoch: 1 [256/49812]	Loss: 3.0291	LR: 0.000385
Training Epoch: 1 [320/49812]	Loss: 3.0397	LR: 0.000513
Training Epoch: 1 [384/49812]	Loss: 3.0218	LR: 0.000642
Training Epoch: 1 [448/49812]	Loss: 3.0067	LR: 0.000770
Training Epoch: 1 [512/49812]	Loss: 2.9803	LR: 0.000899
Training Epoch: 1 [576/49812]	Loss: 2.9773	LR: 0.001027
Training Epoch: 1 [640/49812]	Loss: 2.9961	LR: 0.001155
Training Epoch: 1 [704/49812]	Loss: 3.0260	LR: 0.001284
Training Epoch: 1 [768/49812]	Loss: 2.9310	LR: 0.001412
Training Epoch: 1 [832/49812]	Loss: 2.9592	LR: 0.001540
Training Epoch: 1 [896/49812]	Loss: 2.9954	LR: 0.001669
Training Epoch: 1 [960/49812]	Loss: 2.9603	LR: 0.001797
Training Epoch: 1 [1024/49812]	Loss: 2.9365	LR: 0.001926
Training Epoch: 1 [1088/49812]	Loss: 2.9620	LR: 0.002054
Training Epoch: 1 [1152/49812]	Loss: 2.9887	LR: 0.002182
Training Epoch: 1 [1216/49812]	Loss: 2.9661	LR: 0.002311
Training Epoch: 1 [1280/49812]	Loss: 2.9669	LR: 0.002439
Training Epoch: 1 [1344/49812]	Loss: 2.9823	LR: 0.002567
Training Epoch: 1 [1408/49812]	Loss: 2.9493	LR: 0.002696
Training Epoch: 1 [1472/49812]	Loss: 2.9486	LR: 0.002824
Training Epoch: 1 [1536/49812]	Loss: 2.9024	LR: 0.002953
Training Epoch: 1 [1600/49812]	Loss: 2.9341	LR: 0.003081
Training Epoch: 1 [1664/49812]	Loss: 2.9056	LR: 0.003209
Training Epoch: 1 [1728/49812]	Loss: 2.9559	LR: 0.003338
Training Epoch: 1 [1792/49812]	Loss: 2.9049	LR: 0.003466
Training Epoch: 1 [1856/49812]	Loss: 2.8517	LR: 0.003594
Training Epoch: 1 [1920/49812]	Loss: 2.8451	LR: 0.003723
Training Epoch: 1 [1984/49812]	Loss: 2.8861	LR: 0.003851
Training Epoch: 1 [2048/49812]	Loss: 2.8852	LR: 0.003979
Training Epoch: 1 [2112/49812]	Loss: 2.8273	LR: 0.004108
Training Epoch: 1 [2176/49812]	Loss: 2.8578	LR: 0.004236
Training Epoch: 1 [2240/49812]	Loss: 2.7560	LR: 0.004365
Training Epoch: 1 [2304/49812]	Loss: 2.8372	LR: 0.004493
Training Epoch: 1 [2368/49812]	Loss: 2.9063	LR: 0.004621
Training Epoch: 1 [2432/49812]	Loss: 2.7967	LR: 0.004750
Training Epoch: 1 [2496/49812]	Loss: 2.8162	LR: 0.004878
Training Epoch: 1 [2560/49812]	Loss: 2.9004	LR: 0.005006
Training Epoch: 1 [2624/49812]	Loss: 2.8136	LR: 0.005135
Training Epoch: 1 [2688/49812]	Loss: 2.8492	LR: 0.005263
Training Epoch: 1 [2752/49812]	Loss: 2.7613	LR: 0.005392
Training Epoch: 1 [2816/49812]	Loss: 2.7489	LR: 0.005520
Training Epoch: 1 [2880/49812]	Loss: 2.8987	LR: 0.005648
Training Epoch: 1 [2944/49812]	Loss: 2.8272	LR: 0.005777
Training Epoch: 1 [3008/49812]	Loss: 2.8145	LR: 0.005905
Training Epoch: 1 [3072/49812]	Loss: 2.7004	LR: 0.006033
Training Epoch: 1 [3136/49812]	Loss: 2.8087	LR: 0.006162
Training Epoch: 1 [3200/49812]	Loss: 2.6206	LR: 0.006290
Training Epoch: 1 [3264/49812]	Loss: 2.7110	LR: 0.006418
Training Epoch: 1 [3328/49812]	Loss: 2.7434	LR: 0.006547
Training Epoch: 1 [3392/49812]	Loss: 2.6601	LR: 0.006675
Training Epoch: 1 [3456/49812]	Loss: 2.7559	LR: 0.006804
Training Epoch: 1 [3520/49812]	Loss: 2.7866	LR: 0.006932
Training Epoch: 1 [3584/49812]	Loss: 2.6436	LR: 0.007060
Training Epoch: 1 [3648/49812]	Loss: 2.8036	LR: 0.007189
Training Epoch: 1 [3712/49812]	Loss: 2.6307	LR: 0.007317
Training Epoch: 1 [3776/49812]	Loss: 2.6218	LR: 0.007445
Training Epoch: 1 [3840/49812]	Loss: 2.8638	LR: 0.007574
Training Epoch: 1 [3904/49812]	Loss: 2.7701	LR: 0.007702
Training Epoch: 1 [3968/49812]	Loss: 2.7920	LR: 0.007831
Training Epoch: 1 [4032/49812]	Loss: 2.6936	LR: 0.007959
Training Epoch: 1 [4096/49812]	Loss: 2.6061	LR: 0.008087
Training Epoch: 1 [4160/49812]	Loss: 2.8431	LR: 0.008216
Training Epoch: 1 [4224/49812]	Loss: 2.6478	LR: 0.008344
Training Epoch: 1 [4288/49812]	Loss: 2.6715	LR: 0.008472
Training Epoch: 1 [4352/49812]	Loss: 2.8363	LR: 0.008601
Training Epoch: 1 [4416/49812]	Loss: 2.7215	LR: 0.008729
Training Epoch: 1 [4480/49812]	Loss: 2.6510	LR: 0.008858
Training Epoch: 1 [4544/49812]	Loss: 2.5848	LR: 0.008986
Training Epoch: 1 [4608/49812]	Loss: 2.5604	LR: 0.009114
Training Epoch: 1 [4672/49812]	Loss: 2.7171	LR: 0.009243
Training Epoch: 1 [4736/49812]	Loss: 2.6480	LR: 0.009371
Training Epoch: 1 [4800/49812]	Loss: 2.7898	LR: 0.009499
Training Epoch: 1 [4864/49812]	Loss: 2.7214	LR: 0.009628
Training Epoch: 1 [4928/49812]	Loss: 2.6486	LR: 0.009756
Training Epoch: 1 [4992/49812]	Loss: 2.7208	LR: 0.009884
Training Epoch: 1 [5056/49812]	Loss: 2.7180	LR: 0.010013
Training Epoch: 1 [5120/49812]	Loss: 2.7306	LR: 0.010141
Training Epoch: 1 [5184/49812]	Loss: 2.6079	LR: 0.010270
Training Epoch: 1 [5248/49812]	Loss: 2.7936	LR: 0.010398
Training Epoch: 1 [5312/49812]	Loss: 2.8185	LR: 0.010526
Training Epoch: 1 [5376/49812]	Loss: 2.6323	LR: 0.010655
Training Epoch: 1 [5440/49812]	Loss: 2.6152	LR: 0.010783
Training Epoch: 1 [5504/49812]	Loss: 2.4856	LR: 0.010911
Training Epoch: 1 [5568/49812]	Loss: 2.9043	LR: 0.011040
Training Epoch: 1 [5632/49812]	Loss: 2.7599	LR: 0.011168
Training Epoch: 1 [5696/49812]	Loss: 2.6986	LR: 0.011297
Training Epoch: 1 [5760/49812]	Loss: 2.7078	LR: 0.011425
Training Epoch: 1 [5824/49812]	Loss: 2.5826	LR: 0.011553
Training Epoch: 1 [5888/49812]	Loss: 2.6351	LR: 0.011682
Training Epoch: 1 [5952/49812]	Loss: 2.7835	LR: 0.011810
Training Epoch: 1 [6016/49812]	Loss: 2.6468	LR: 0.011938
Training Epoch: 1 [6080/49812]	Loss: 2.7317	LR: 0.012067
Training Epoch: 1 [6144/49812]	Loss: 2.7732	LR: 0.012195
Training Epoch: 1 [6208/49812]	Loss: 2.6553	LR: 0.012323
Training Epoch: 1 [6272/49812]	Loss: 2.5274	LR: 0.012452
Training Epoch: 1 [6336/49812]	Loss: 2.7039	LR: 0.012580
Training Epoch: 1 [6400/49812]	Loss: 2.6840	LR: 0.012709
Training Epoch: 1 [6464/49812]	Loss: 2.7194	LR: 0.012837
Training Epoch: 1 [6528/49812]	Loss: 2.4986	LR: 0.012965
Training Epoch: 1 [6592/49812]	Loss: 2.5430	LR: 0.013094
Training Epoch: 1 [6656/49812]	Loss: 2.6473	LR: 0.013222
Training Epoch: 1 [6720/49812]	Loss: 2.6085	LR: 0.013350
Training Epoch: 1 [6784/49812]	Loss: 2.5949	LR: 0.013479
Training Epoch: 1 [6848/49812]	Loss: 2.6981	LR: 0.013607
Training Epoch: 1 [6912/49812]	Loss: 2.6675	LR: 0.013736
Training Epoch: 1 [6976/49812]	Loss: 2.7560	LR: 0.013864
Training Epoch: 1 [7040/49812]	Loss: 2.4915	LR: 0.013992
Training Epoch: 1 [7104/49812]	Loss: 2.5987	LR: 0.014121
Training Epoch: 1 [7168/49812]	Loss: 2.6623	LR: 0.014249
Training Epoch: 1 [7232/49812]	Loss: 2.4600	LR: 0.014377
Training Epoch: 1 [7296/49812]	Loss: 2.6369	LR: 0.014506
Training Epoch: 1 [7360/49812]	Loss: 2.5033	LR: 0.014634
Training Epoch: 1 [7424/49812]	Loss: 2.6863	LR: 0.014763
Training Epoch: 1 [7488/49812]	Loss: 2.5980	LR: 0.014891
Training Epoch: 1 [7552/49812]	Loss: 2.3748	LR: 0.015019
Training Epoch: 1 [7616/49812]	Loss: 2.4593	LR: 0.015148
Training Epoch: 1 [7680/49812]	Loss: 2.5495	LR: 0.015276
Training Epoch: 1 [7744/49812]	Loss: 2.7132	LR: 0.015404
Training Epoch: 1 [7808/49812]	Loss: 2.5361	LR: 0.015533
Training Epoch: 1 [7872/49812]	Loss: 2.6437	LR: 0.015661
Training Epoch: 1 [7936/49812]	Loss: 2.4810	LR: 0.015789
Training Epoch: 1 [8000/49812]	Loss: 2.6352	LR: 0.015918
Training Epoch: 1 [8064/49812]	Loss: 2.4987	LR: 0.016046
Training Epoch: 1 [8128/49812]	Loss: 2.6443	LR: 0.016175
Training Epoch: 1 [8192/49812]	Loss: 2.4078	LR: 0.016303
Training Epoch: 1 [8256/49812]	Loss: 2.6722	LR: 0.016431
Training Epoch: 1 [8320/49812]	Loss: 2.4284	LR: 0.016560
Training Epoch: 1 [8384/49812]	Loss: 2.4578	LR: 0.016688
Training Epoch: 1 [8448/49812]	Loss: 2.7602	LR: 0.016816
Training Epoch: 1 [8512/49812]	Loss: 2.5059	LR: 0.016945
Training Epoch: 1 [8576/49812]	Loss: 2.7528	LR: 0.017073
Training Epoch: 1 [8640/49812]	Loss: 2.6203	LR: 0.017202
Training Epoch: 1 [8704/49812]	Loss: 2.4910	LR: 0.017330
Training Epoch: 1 [8768/49812]	Loss: 2.7498	LR: 0.017458
Training Epoch: 1 [8832/49812]	Loss: 2.5137	LR: 0.017587
Training Epoch: 1 [8896/49812]	Loss: 2.5408	LR: 0.017715
Training Epoch: 1 [8960/49812]	Loss: 2.6651	LR: 0.017843
Training Epoch: 1 [9024/49812]	Loss: 2.6740	LR: 0.017972
Training Epoch: 1 [9088/49812]	Loss: 2.7380	LR: 0.018100
Training Epoch: 1 [9152/49812]	Loss: 2.7001	LR: 0.018228
Training Epoch: 1 [9216/49812]	Loss: 2.3683	LR: 0.018357
Training Epoch: 1 [9280/49812]	Loss: 2.5760	LR: 0.018485
Training Epoch: 1 [9344/49812]	Loss: 2.5387	LR: 0.018614
Training Epoch: 1 [9408/49812]	Loss: 2.5314	LR: 0.018742
Training Epoch: 1 [9472/49812]	Loss: 2.2700	LR: 0.018870
Training Epoch: 1 [9536/49812]	Loss: 2.5305	LR: 0.018999
Training Epoch: 1 [9600/49812]	Loss: 2.6053	LR: 0.019127
Training Epoch: 1 [9664/49812]	Loss: 2.7674	LR: 0.019255
Training Epoch: 1 [9728/49812]	Loss: 2.6051	LR: 0.019384
Training Epoch: 1 [9792/49812]	Loss: 2.5517	LR: 0.019512
Training Epoch: 1 [9856/49812]	Loss: 2.3437	LR: 0.019641
Training Epoch: 1 [9920/49812]	Loss: 2.8741	LR: 0.019769
Training Epoch: 1 [9984/49812]	Loss: 2.6494	LR: 0.019897
Training Epoch: 1 [10048/49812]	Loss: 2.5515	LR: 0.020026
Training Epoch: 1 [10112/49812]	Loss: 2.5698	LR: 0.020154
Training Epoch: 1 [10176/49812]	Loss: 2.6205	LR: 0.020282
Training Epoch: 1 [10240/49812]	Loss: 2.5933	LR: 0.020411
Training Epoch: 1 [10304/49812]	Loss: 2.7787	LR: 0.020539
Training Epoch: 1 [10368/49812]	Loss: 2.5735	LR: 0.020668
Training Epoch: 1 [10432/49812]	Loss: 2.4956	LR: 0.020796
Training Epoch: 1 [10496/49812]	Loss: 2.5778	LR: 0.020924
Training Epoch: 1 [10560/49812]	Loss: 2.6057	LR: 0.021053
Training Epoch: 1 [10624/49812]	Loss: 2.4666	LR: 0.021181
Training Epoch: 1 [10688/49812]	Loss: 2.6226	LR: 0.021309
Training Epoch: 1 [10752/49812]	Loss: 2.5125	LR: 0.021438
Training Epoch: 1 [10816/49812]	Loss: 2.6981	LR: 0.021566
Training Epoch: 1 [10880/49812]	Loss: 2.5482	LR: 0.021694
Training Epoch: 1 [10944/49812]	Loss: 2.5065	LR: 0.021823
Training Epoch: 1 [11008/49812]	Loss: 2.5976	LR: 0.021951
Training Epoch: 1 [11072/49812]	Loss: 2.4235	LR: 0.022080
Training Epoch: 1 [11136/49812]	Loss: 2.4887	LR: 0.022208
Training Epoch: 1 [11200/49812]	Loss: 2.5325	LR: 0.022336
Training Epoch: 1 [11264/49812]	Loss: 2.5426	LR: 0.022465
Training Epoch: 1 [11328/49812]	Loss: 2.4370	LR: 0.022593
Training Epoch: 1 [11392/49812]	Loss: 2.4914	LR: 0.022721
Training Epoch: 1 [11456/49812]	Loss: 2.4350	LR: 0.022850
Training Epoch: 1 [11520/49812]	Loss: 2.6407	LR: 0.022978
Training Epoch: 1 [11584/49812]	Loss: 2.5617	LR: 0.023107
Training Epoch: 1 [11648/49812]	Loss: 2.4813	LR: 0.023235
Training Epoch: 1 [11712/49812]	Loss: 2.5686	LR: 0.023363
Training Epoch: 1 [11776/49812]	Loss: 2.4960	LR: 0.023492
Training Epoch: 1 [11840/49812]	Loss: 2.4759	LR: 0.023620
Training Epoch: 1 [11904/49812]	Loss: 2.6777	LR: 0.023748
Training Epoch: 1 [11968/49812]	Loss: 2.7548	LR: 0.023877
Training Epoch: 1 [12032/49812]	Loss: 2.7310	LR: 0.024005
Training Epoch: 1 [12096/49812]	Loss: 2.6626	LR: 0.024134
Training Epoch: 1 [12160/49812]	Loss: 2.6270	LR: 0.024262
Training Epoch: 1 [12224/49812]	Loss: 2.7620	LR: 0.024390
Training Epoch: 1 [12288/49812]	Loss: 2.5014	LR: 0.024519
Training Epoch: 1 [12352/49812]	Loss: 2.7151	LR: 0.024647
Training Epoch: 1 [12416/49812]	Loss: 2.6392	LR: 0.024775
Training Epoch: 1 [12480/49812]	Loss: 2.4866	LR: 0.024904
Training Epoch: 1 [12544/49812]	Loss: 2.3429	LR: 0.025032
Training Epoch: 1 [12608/49812]	Loss: 2.7222	LR: 0.025160
Training Epoch: 1 [12672/49812]	Loss: 2.4040	LR: 0.025289
Training Epoch: 1 [12736/49812]	Loss: 2.6993	LR: 0.025417
Training Epoch: 1 [12800/49812]	Loss: 2.6440	LR: 0.025546
Training Epoch: 1 [12864/49812]	Loss: 2.7282	LR: 0.025674
Training Epoch: 1 [12928/49812]	Loss: 2.7125	LR: 0.025802
Training Epoch: 1 [12992/49812]	Loss: 2.7557	LR: 0.025931
Training Epoch: 1 [13056/49812]	Loss: 2.7170	LR: 0.026059
Training Epoch: 1 [13120/49812]	Loss: 2.6076	LR: 0.026187
Training Epoch: 1 [13184/49812]	Loss: 2.5495	LR: 0.026316
Training Epoch: 1 [13248/49812]	Loss: 2.5846	LR: 0.026444
Training Epoch: 1 [13312/49812]	Loss: 2.6715	LR: 0.026573
Training Epoch: 1 [13376/49812]	Loss: 2.4812	LR: 0.026701
Training Epoch: 1 [13440/49812]	Loss: 2.6044	LR: 0.026829
Training Epoch: 1 [13504/49812]	Loss: 2.7446	LR: 0.026958
Training Epoch: 1 [13568/49812]	Loss: 2.4460	LR: 0.027086
Training Epoch: 1 [13632/49812]	Loss: 2.5510	LR: 0.027214
Training Epoch: 1 [13696/49812]	Loss: 2.6139	LR: 0.027343
Training Epoch: 1 [13760/49812]	Loss: 2.6630	LR: 0.027471
Training Epoch: 1 [13824/49812]	Loss: 2.7567	LR: 0.027599
Training Epoch: 1 [13888/49812]	Loss: 2.6469	LR: 0.027728
Training Epoch: 1 [13952/49812]	Loss: 2.5366	LR: 0.027856
Training Epoch: 1 [14016/49812]	Loss: 2.5816	LR: 0.027985
Training Epoch: 1 [14080/49812]	Loss: 2.9014	LR: 0.028113
Training Epoch: 1 [14144/49812]	Loss: 2.7819	LR: 0.028241
Training Epoch: 1 [14208/49812]	Loss: 2.6087	LR: 0.028370
Training Epoch: 1 [14272/49812]	Loss: 2.5945	LR: 0.028498
Training Epoch: 1 [14336/49812]	Loss: 2.4643	LR: 0.028626
Training Epoch: 1 [14400/49812]	Loss: 3.1293	LR: 0.028755
Training Epoch: 1 [14464/49812]	Loss: 2.5750	LR: 0.028883
Training Epoch: 1 [14528/49812]	Loss: 2.5066	LR: 0.029012
Training Epoch: 1 [14592/49812]	Loss: 2.5928	LR: 0.029140
Training Epoch: 1 [14656/49812]	Loss: 2.6036	LR: 0.029268
Training Epoch: 1 [14720/49812]	Loss: 2.5211	LR: 0.029397
Training Epoch: 1 [14784/49812]	Loss: 2.6526	LR: 0.029525
Training Epoch: 1 [14848/49812]	Loss: 2.5472	LR: 0.029653
Training Epoch: 1 [14912/49812]	Loss: 2.6582	LR: 0.029782
Training Epoch: 1 [14976/49812]	Loss: 2.5027	LR: 0.029910
Training Epoch: 1 [15040/49812]	Loss: 2.5632	LR: 0.030039
Training Epoch: 1 [15104/49812]	Loss: 2.4035	LR: 0.030167
Training Epoch: 1 [15168/49812]	Loss: 2.7709	LR: 0.030295
Training Epoch: 1 [15232/49812]	Loss: 2.5538	LR: 0.030424
Training Epoch: 1 [15296/49812]	Loss: 2.5499	LR: 0.030552
Training Epoch: 1 [15360/49812]	Loss: 2.6797	LR: 0.030680
Training Epoch: 1 [15424/49812]	Loss: 2.6181	LR: 0.030809
Training Epoch: 1 [15488/49812]	Loss: 2.5645	LR: 0.030937
Training Epoch: 1 [15552/49812]	Loss: 2.5333	LR: 0.031065
Training Epoch: 1 [15616/49812]	Loss: 2.6598	LR: 0.031194
Training Epoch: 1 [15680/49812]	Loss: 2.5900	LR: 0.031322
Training Epoch: 1 [15744/49812]	Loss: 2.5047	LR: 0.031451
Training Epoch: 1 [15808/49812]	Loss: 2.8008	LR: 0.031579
Training Epoch: 1 [15872/49812]	Loss: 2.5604	LR: 0.031707
Training Epoch: 1 [15936/49812]	Loss: 2.6614	LR: 0.031836
Training Epoch: 1 [16000/49812]	Loss: 2.3959	LR: 0.031964
Training Epoch: 1 [16064/49812]	Loss: 2.6332	LR: 0.032092
Training Epoch: 1 [16128/49812]	Loss: 2.4579	LR: 0.032221
Training Epoch: 1 [16192/49812]	Loss: 2.5176	LR: 0.032349
Training Epoch: 1 [16256/49812]	Loss: 2.5482	LR: 0.032478
Training Epoch: 1 [16320/49812]	Loss: 2.6728	LR: 0.032606
Training Epoch: 1 [16384/49812]	Loss: 2.7133	LR: 0.032734
Training Epoch: 1 [16448/49812]	Loss: 2.5418	LR: 0.032863
Training Epoch: 1 [16512/49812]	Loss: 2.7068	LR: 0.032991
Training Epoch: 1 [16576/49812]	Loss: 2.6669	LR: 0.033119
Training Epoch: 1 [16640/49812]	Loss: 2.6676	LR: 0.033248
Training Epoch: 1 [16704/49812]	Loss: 2.4655	LR: 0.033376
Training Epoch: 1 [16768/49812]	Loss: 2.4804	LR: 0.033504
Training Epoch: 1 [16832/49812]	Loss: 2.4947	LR: 0.033633
Training Epoch: 1 [16896/49812]	Loss: 2.5868	LR: 0.033761
Training Epoch: 1 [16960/49812]	Loss: 2.6391	LR: 0.033890
Training Epoch: 1 [17024/49812]	Loss: 2.5892	LR: 0.034018
Training Epoch: 1 [17088/49812]	Loss: 2.5635	LR: 0.034146
Training Epoch: 1 [17152/49812]	Loss: 2.6197	LR: 0.034275
Training Epoch: 1 [17216/49812]	Loss: 2.4189	LR: 0.034403
Training Epoch: 1 [17280/49812]	Loss: 2.5723	LR: 0.034531
Training Epoch: 1 [17344/49812]	Loss: 2.6196	LR: 0.034660
Training Epoch: 1 [17408/49812]	Loss: 2.5993	LR: 0.034788
Training Epoch: 1 [17472/49812]	Loss: 2.4827	LR: 0.034917
Training Epoch: 1 [17536/49812]	Loss: 2.3568	LR: 0.035045
Training Epoch: 1 [17600/49812]	Loss: 2.4622	LR: 0.035173
Training Epoch: 1 [17664/49812]	Loss: 2.2721	LR: 0.035302
Training Epoch: 1 [17728/49812]	Loss: 2.2734	LR: 0.035430
Training Epoch: 1 [17792/49812]	Loss: 2.4898	LR: 0.035558
Training Epoch: 1 [17856/49812]	Loss: 2.4080	LR: 0.035687
Training Epoch: 1 [17920/49812]	Loss: 2.5187	LR: 0.035815
Training Epoch: 1 [17984/49812]	Loss: 2.7013	LR: 0.035944
Training Epoch: 1 [18048/49812]	Loss: 2.6506	LR: 0.036072
Training Epoch: 1 [18112/49812]	Loss: 2.5364	LR: 0.036200
Training Epoch: 1 [18176/49812]	Loss: 2.6828	LR: 0.036329
Training Epoch: 1 [18240/49812]	Loss: 2.4118	LR: 0.036457
Training Epoch: 1 [18304/49812]	Loss: 2.5020	LR: 0.036585
Training Epoch: 1 [18368/49812]	Loss: 2.6942	LR: 0.036714
Training Epoch: 1 [18432/49812]	Loss: 2.6484	LR: 0.036842
Training Epoch: 1 [18496/49812]	Loss: 2.4890	LR: 0.036970
Training Epoch: 1 [18560/49812]	Loss: 2.4973	LR: 0.037099
Training Epoch: 1 [18624/49812]	Loss: 2.5726	LR: 0.037227
Training Epoch: 1 [18688/49812]	Loss: 2.4007	LR: 0.037356
Training Epoch: 1 [18752/49812]	Loss: 2.5075	LR: 0.037484
Training Epoch: 1 [18816/49812]	Loss: 2.6481	LR: 0.037612
Training Epoch: 1 [18880/49812]	Loss: 2.7942	LR: 0.037741
Training Epoch: 1 [18944/49812]	Loss: 2.4213	LR: 0.037869
Training Epoch: 1 [19008/49812]	Loss: 2.5876	LR: 0.037997
Training Epoch: 1 [19072/49812]	Loss: 2.4474	LR: 0.038126
Training Epoch: 1 [19136/49812]	Loss: 2.5585	LR: 0.038254
Training Epoch: 1 [19200/49812]	Loss: 2.7166	LR: 0.038383
Training Epoch: 1 [19264/49812]	Loss: 2.5333	LR: 0.038511
Training Epoch: 1 [19328/49812]	Loss: 2.8774	LR: 0.038639
Training Epoch: 1 [19392/49812]	Loss: 2.6280	LR: 0.038768
Training Epoch: 1 [19456/49812]	Loss: 2.4734	LR: 0.038896
Training Epoch: 1 [19520/49812]	Loss: 2.4864	LR: 0.039024
Training Epoch: 1 [19584/49812]	Loss: 2.4657	LR: 0.039153
Training Epoch: 1 [19648/49812]	Loss: 2.4871	LR: 0.039281
Training Epoch: 1 [19712/49812]	Loss: 2.4851	LR: 0.039409
Training Epoch: 1 [19776/49812]	Loss: 2.6030	LR: 0.039538
Training Epoch: 1 [19840/49812]	Loss: 2.5978	LR: 0.039666
Training Epoch: 1 [19904/49812]	Loss: 2.5299	LR: 0.039795
Training Epoch: 1 [19968/49812]	Loss: 2.4698	LR: 0.039923
Training Epoch: 1 [20032/49812]	Loss: 2.4764	LR: 0.040051
Training Epoch: 1 [20096/49812]	Loss: 2.4783	LR: 0.040180
Training Epoch: 1 [20160/49812]	Loss: 2.9134	LR: 0.040308
Training Epoch: 1 [20224/49812]	Loss: 2.4992	LR: 0.040436
Training Epoch: 1 [20288/49812]	Loss: 2.3813	LR: 0.040565
Training Epoch: 1 [20352/49812]	Loss: 2.5168	LR: 0.040693
Training Epoch: 1 [20416/49812]	Loss: 2.5320	LR: 0.040822
Training Epoch: 1 [20480/49812]	Loss: 2.4996	LR: 0.040950
Training Epoch: 1 [20544/49812]	Loss: 2.6512	LR: 0.041078
Training Epoch: 1 [20608/49812]	Loss: 2.3445	LR: 0.041207
Training Epoch: 1 [20672/49812]	Loss: 2.4295	LR: 0.041335
Training Epoch: 1 [20736/49812]	Loss: 2.7364	LR: 0.041463
Training Epoch: 1 [20800/49812]	Loss: 2.5767	LR: 0.041592
Training Epoch: 1 [20864/49812]	Loss: 2.3628	LR: 0.041720
Training Epoch: 1 [20928/49812]	Loss: 2.4573	LR: 0.041849
Training Epoch: 1 [20992/49812]	Loss: 2.8013	LR: 0.041977
Training Epoch: 1 [21056/49812]	Loss: 2.3346	LR: 0.042105
Training Epoch: 1 [21120/49812]	Loss: 2.5645	LR: 0.042234
Training Epoch: 1 [21184/49812]	Loss: 2.5544	LR: 0.042362
Training Epoch: 1 [21248/49812]	Loss: 2.5217	LR: 0.042490
Training Epoch: 1 [21312/49812]	Loss: 2.5910	LR: 0.042619
Training Epoch: 1 [21376/49812]	Loss: 2.4481	LR: 0.042747
Training Epoch: 1 [21440/49812]	Loss: 2.3928	LR: 0.042875
Training Epoch: 1 [21504/49812]	Loss: 2.5724	LR: 0.043004
Training Epoch: 1 [21568/49812]	Loss: 2.5691	LR: 0.043132
Training Epoch: 1 [21632/49812]	Loss: 2.3762	LR: 0.043261
Training Epoch: 1 [21696/49812]	Loss: 2.5584	LR: 0.043389
Training Epoch: 1 [21760/49812]	Loss: 2.4262	LR: 0.043517
Training Epoch: 1 [21824/49812]	Loss: 2.6202	LR: 0.043646
Training Epoch: 1 [21888/49812]	Loss: 2.4456	LR: 0.043774
Training Epoch: 1 [21952/49812]	Loss: 2.5352	LR: 0.043902
Training Epoch: 1 [22016/49812]	Loss: 2.5171	LR: 0.044031
Training Epoch: 1 [22080/49812]	Loss: 2.6988	LR: 0.044159
Training Epoch: 1 [22144/49812]	Loss: 2.5060	LR: 0.044288
Training Epoch: 1 [22208/49812]	Loss: 2.4649	LR: 0.044416
Training Epoch: 1 [22272/49812]	Loss: 2.5653	LR: 0.044544
Training Epoch: 1 [22336/49812]	Loss: 2.3515	LR: 0.044673
Training Epoch: 1 [22400/49812]	Loss: 2.5308	LR: 0.044801
Training Epoch: 1 [22464/49812]	Loss: 2.3366	LR: 0.044929
Training Epoch: 1 [22528/49812]	Loss: 2.5696	LR: 0.045058
Training Epoch: 1 [22592/49812]	Loss: 2.5038	LR: 0.045186
Training Epoch: 1 [22656/49812]	Loss: 2.3814	LR: 0.045315
Training Epoch: 1 [22720/49812]	Loss: 2.6587	LR: 0.045443
Training Epoch: 1 [22784/49812]	Loss: 2.5463	LR: 0.045571
Training Epoch: 1 [22848/49812]	Loss: 2.6333	LR: 0.045700
Training Epoch: 1 [22912/49812]	Loss: 2.6614	LR: 0.045828
Training Epoch: 1 [22976/49812]	Loss: 2.2780	LR: 0.045956
Training Epoch: 1 [23040/49812]	Loss: 2.3855	LR: 0.046085
Training Epoch: 1 [23104/49812]	Loss: 2.3351	LR: 0.046213
Training Epoch: 1 [23168/49812]	Loss: 2.4211	LR: 0.046341
Training Epoch: 1 [23232/49812]	Loss: 2.4547	LR: 0.046470
Training Epoch: 1 [23296/49812]	Loss: 2.3094	LR: 0.046598
Training Epoch: 1 [23360/49812]	Loss: 2.5697	LR: 0.046727
Training Epoch: 1 [23424/49812]	Loss: 2.6060	LR: 0.046855
Training Epoch: 1 [23488/49812]	Loss: 2.4181	LR: 0.046983
Training Epoch: 1 [23552/49812]	Loss: 2.7422	LR: 0.047112
Training Epoch: 1 [23616/49812]	Loss: 2.4921	LR: 0.047240
Training Epoch: 1 [23680/49812]	Loss: 2.3573	LR: 0.047368
Training Epoch: 1 [23744/49812]	Loss: 2.7152	LR: 0.047497
Training Epoch: 1 [23808/49812]	Loss: 2.6656	LR: 0.047625
Training Epoch: 1 [23872/49812]	Loss: 2.5406	LR: 0.047754
Training Epoch: 1 [23936/49812]	Loss: 2.4454	LR: 0.047882
Training Epoch: 1 [24000/49812]	Loss: 2.5752	LR: 0.048010
Training Epoch: 1 [24064/49812]	Loss: 2.4555	LR: 0.048139
Training Epoch: 1 [24128/49812]	Loss: 2.3639	LR: 0.048267
Training Epoch: 1 [24192/49812]	Loss: 2.2204	LR: 0.048395
Training Epoch: 1 [24256/49812]	Loss: 2.5734	LR: 0.048524
Training Epoch: 1 [24320/49812]	Loss: 2.4093	LR: 0.048652
Training Epoch: 1 [24384/49812]	Loss: 2.4819	LR: 0.048780
Training Epoch: 1 [24448/49812]	Loss: 2.4540	LR: 0.048909
Training Epoch: 1 [24512/49812]	Loss: 2.7371	LR: 0.049037
Training Epoch: 1 [24576/49812]	Loss: 2.5338	LR: 0.049166
Training Epoch: 1 [24640/49812]	Loss: 2.4246	LR: 0.049294
Training Epoch: 1 [24704/49812]	Loss: 2.3839	LR: 0.049422
Training Epoch: 1 [24768/49812]	Loss: 2.2766	LR: 0.049551
Training Epoch: 1 [24832/49812]	Loss: 2.5292	LR: 0.049679
Training Epoch: 1 [24896/49812]	Loss: 2.2549	LR: 0.049807
Training Epoch: 1 [24960/49812]	Loss: 2.4285	LR: 0.049936
Training Epoch: 1 [25024/49812]	Loss: 2.6132	LR: 0.050064
Training Epoch: 1 [25088/49812]	Loss: 2.6576	LR: 0.050193
Training Epoch: 1 [25152/49812]	Loss: 2.4572	LR: 0.050321
Training Epoch: 1 [25216/49812]	Loss: 2.3707	LR: 0.050449
Training Epoch: 1 [25280/49812]	Loss: 2.3493	LR: 0.050578
Training Epoch: 1 [25344/49812]	Loss: 2.3353	LR: 0.050706
Training Epoch: 1 [25408/49812]	Loss: 2.5795	LR: 0.050834
Training Epoch: 1 [25472/49812]	Loss: 2.6636	LR: 0.050963
Training Epoch: 1 [25536/49812]	Loss: 2.6095	LR: 0.051091
Training Epoch: 1 [25600/49812]	Loss: 2.7022	LR: 0.051220
Training Epoch: 1 [25664/49812]	Loss: 2.7450	LR: 0.051348
Training Epoch: 1 [25728/49812]	Loss: 2.5604	LR: 0.051476
Training Epoch: 1 [25792/49812]	Loss: 2.4404	LR: 0.051605
Training Epoch: 1 [25856/49812]	Loss: 2.6236	LR: 0.051733
Training Epoch: 1 [25920/49812]	Loss: 2.4629	LR: 0.051861
Training Epoch: 1 [25984/49812]	Loss: 2.3983	LR: 0.051990
Training Epoch: 1 [26048/49812]	Loss: 2.5199	LR: 0.052118
Training Epoch: 1 [26112/49812]	Loss: 2.6066	LR: 0.052246
Training Epoch: 1 [26176/49812]	Loss: 2.4934	LR: 0.052375
Training Epoch: 1 [26240/49812]	Loss: 2.4834	LR: 0.052503
Training Epoch: 1 [26304/49812]	Loss: 2.2955	LR: 0.052632
Training Epoch: 1 [26368/49812]	Loss: 2.6718	LR: 0.052760
Training Epoch: 1 [26432/49812]	Loss: 2.4809	LR: 0.052888
Training Epoch: 1 [26496/49812]	Loss: 2.3627	LR: 0.053017
Training Epoch: 1 [26560/49812]	Loss: 2.3188	LR: 0.053145
Training Epoch: 1 [26624/49812]	Loss: 2.4357	LR: 0.053273
Training Epoch: 1 [26688/49812]	Loss: 2.5441	LR: 0.053402
Training Epoch: 1 [26752/49812]	Loss: 2.5589	LR: 0.053530
Training Epoch: 1 [26816/49812]	Loss: 2.5606	LR: 0.053659
Training Epoch: 1 [26880/49812]	Loss: 2.5727	LR: 0.053787
Training Epoch: 1 [26944/49812]	Loss: 2.5733	LR: 0.053915
Training Epoch: 1 [27008/49812]	Loss: 2.3153	LR: 0.054044
Training Epoch: 1 [27072/49812]	Loss: 2.4029	LR: 0.054172
Training Epoch: 1 [27136/49812]	Loss: 2.7479	LR: 0.054300
Training Epoch: 1 [27200/49812]	Loss: 2.5155	LR: 0.054429
Training Epoch: 1 [27264/49812]	Loss: 2.4196	LR: 0.054557
Training Epoch: 1 [27328/49812]	Loss: 2.4452	LR: 0.054685
Training Epoch: 1 [27392/49812]	Loss: 2.5635	LR: 0.054814
Training Epoch: 1 [27456/49812]	Loss: 2.4943	LR: 0.054942
Training Epoch: 1 [27520/49812]	Loss: 2.3204	LR: 0.055071
Training Epoch: 1 [27584/49812]	Loss: 2.4878	LR: 0.055199
Training Epoch: 1 [27648/49812]	Loss: 2.4133	LR: 0.055327
Training Epoch: 1 [27712/49812]	Loss: 2.4505	LR: 0.055456
Training Epoch: 1 [27776/49812]	Loss: 2.4038	LR: 0.055584
Training Epoch: 1 [27840/49812]	Loss: 2.4158	LR: 0.055712
Training Epoch: 1 [27904/49812]	Loss: 2.3476	LR: 0.055841
Training Epoch: 1 [27968/49812]	Loss: 2.3792	LR: 0.055969
Training Epoch: 1 [28032/49812]	Loss: 2.2325	LR: 0.056098
Training Epoch: 1 [28096/49812]	Loss: 2.6878	LR: 0.056226
Training Epoch: 1 [28160/49812]	Loss: 2.5365	LR: 0.056354
Training Epoch: 1 [28224/49812]	Loss: 2.2645	LR: 0.056483
Training Epoch: 1 [28288/49812]	Loss: 2.2735	LR: 0.056611
Training Epoch: 1 [28352/49812]	Loss: 2.5558	LR: 0.056739
Training Epoch: 1 [28416/49812]	Loss: 2.2625	LR: 0.056868
Training Epoch: 1 [28480/49812]	Loss: 2.3224	LR: 0.056996
Training Epoch: 1 [28544/49812]	Loss: 2.5314	LR: 0.057125
Training Epoch: 1 [28608/49812]	Loss: 2.2655	LR: 0.057253
Training Epoch: 1 [28672/49812]	Loss: 2.4575	LR: 0.057381
Training Epoch: 1 [28736/49812]	Loss: 2.5253	LR: 0.057510
Training Epoch: 1 [28800/49812]	Loss: 2.4633	LR: 0.057638
Training Epoch: 1 [28864/49812]	Loss: 2.2624	LR: 0.057766
Training Epoch: 1 [28928/49812]	Loss: 2.4976	LR: 0.057895
Training Epoch: 1 [28992/49812]	Loss: 2.5052	LR: 0.058023
Training Epoch: 1 [29056/49812]	Loss: 2.5387	LR: 0.058151
Training Epoch: 1 [29120/49812]	Loss: 2.5232	LR: 0.058280
Training Epoch: 1 [29184/49812]	Loss: 2.3952	LR: 0.058408
Training Epoch: 1 [29248/49812]	Loss: 2.4283	LR: 0.058537
Training Epoch: 1 [29312/49812]	Loss: 2.2439	LR: 0.058665
Training Epoch: 1 [29376/49812]	Loss: 2.4967	LR: 0.058793
Training Epoch: 1 [29440/49812]	Loss: 2.3781	LR: 0.058922
Training Epoch: 1 [29504/49812]	Loss: 2.2997	LR: 0.059050
Training Epoch: 1 [29568/49812]	Loss: 2.3277	LR: 0.059178
Training Epoch: 1 [29632/49812]	Loss: 2.3935	LR: 0.059307
Training Epoch: 1 [29696/49812]	Loss: 2.6369	LR: 0.059435
Training Epoch: 1 [29760/49812]	Loss: 2.6660	LR: 0.059564
Training Epoch: 1 [29824/49812]	Loss: 2.3698	LR: 0.059692
Training Epoch: 1 [29888/49812]	Loss: 2.4282	LR: 0.059820
Training Epoch: 1 [29952/49812]	Loss: 2.2067	LR: 0.059949
Training Epoch: 1 [30016/49812]	Loss: 2.5077	LR: 0.060077
Training Epoch: 1 [30080/49812]	Loss: 2.4255	LR: 0.060205
Training Epoch: 1 [30144/49812]	Loss: 2.6049	LR: 0.060334
Training Epoch: 1 [30208/49812]	Loss: 2.4874	LR: 0.060462
Training Epoch: 1 [30272/49812]	Loss: 2.4330	LR: 0.060591
Training Epoch: 1 [30336/49812]	Loss: 2.2107	LR: 0.060719
Training Epoch: 1 [30400/49812]	Loss: 2.4724	LR: 0.060847
Training Epoch: 1 [30464/49812]	Loss: 2.5173	LR: 0.060976
Training Epoch: 1 [30528/49812]	Loss: 2.2640	LR: 0.061104
Training Epoch: 1 [30592/49812]	Loss: 2.2344	LR: 0.061232
Training Epoch: 1 [30656/49812]	Loss: 2.5665	LR: 0.061361
Training Epoch: 1 [30720/49812]	Loss: 2.5988	LR: 0.061489
Training Epoch: 1 [30784/49812]	Loss: 2.5318	LR: 0.061617
Training Epoch: 1 [30848/49812]	Loss: 2.5318	LR: 0.061746
Training Epoch: 1 [30912/49812]	Loss: 2.5068	LR: 0.061874
Training Epoch: 1 [30976/49812]	Loss: 2.4862	LR: 0.062003
Training Epoch: 1 [31040/49812]	Loss: 2.3079	LR: 0.062131
Training Epoch: 1 [31104/49812]	Loss: 2.4648	LR: 0.062259
Training Epoch: 1 [31168/49812]	Loss: 2.3425	LR: 0.062388
Training Epoch: 1 [31232/49812]	Loss: 2.2462	LR: 0.062516
Training Epoch: 1 [31296/49812]	Loss: 2.4415	LR: 0.062644
Training Epoch: 1 [31360/49812]	Loss: 2.5958	LR: 0.062773
Training Epoch: 1 [31424/49812]	Loss: 2.4683	LR: 0.062901
Training Epoch: 1 [31488/49812]	Loss: 2.3724	LR: 0.063030
Training Epoch: 1 [31552/49812]	Loss: 2.3249	LR: 0.063158
Training Epoch: 1 [31616/49812]	Loss: 2.4712	LR: 0.063286
Training Epoch: 1 [31680/49812]	Loss: 2.2693	LR: 0.063415
Training Epoch: 1 [31744/49812]	Loss: 2.5111	LR: 0.063543
Training Epoch: 1 [31808/49812]	Loss: 2.2991	LR: 0.063671
Training Epoch: 1 [31872/49812]	Loss: 2.2623	LR: 0.063800
Training Epoch: 1 [31936/49812]	Loss: 2.4067	LR: 0.063928
Training Epoch: 1 [32000/49812]	Loss: 2.4966	LR: 0.064056
Training Epoch: 1 [32064/49812]	Loss: 2.5407	LR: 0.064185
Training Epoch: 1 [32128/49812]	Loss: 2.3490	LR: 0.064313
Training Epoch: 1 [32192/49812]	Loss: 2.5503	LR: 0.064442
Training Epoch: 1 [32256/49812]	Loss: 2.4520	LR: 0.064570
Training Epoch: 1 [32320/49812]	Loss: 2.3607	LR: 0.064698
Training Epoch: 1 [32384/49812]	Loss: 2.4423	LR: 0.064827
Training Epoch: 1 [32448/49812]	Loss: 2.5102	LR: 0.064955
Training Epoch: 1 [32512/49812]	Loss: 2.4914	LR: 0.065083
Training Epoch: 1 [32576/49812]	Loss: 2.4451	LR: 0.065212
Training Epoch: 1 [32640/49812]	Loss: 2.2867	LR: 0.065340
Training Epoch: 1 [32704/49812]	Loss: 2.7270	LR: 0.065469
Training Epoch: 1 [32768/49812]	Loss: 2.2732	LR: 0.065597
Training Epoch: 1 [32832/49812]	Loss: 2.3403	LR: 0.065725
Training Epoch: 1 [32896/49812]	Loss: 2.2927	LR: 0.065854
Training Epoch: 1 [32960/49812]	Loss: 2.2201	LR: 0.065982
Training Epoch: 1 [33024/49812]	Loss: 2.5693	LR: 0.066110
Training Epoch: 1 [33088/49812]	Loss: 2.4930	LR: 0.066239
Training Epoch: 1 [33152/49812]	Loss: 2.4790	LR: 0.066367
Training Epoch: 1 [33216/49812]	Loss: 2.3402	LR: 0.066496
Training Epoch: 1 [33280/49812]	Loss: 2.4207	LR: 0.066624
Training Epoch: 1 [33344/49812]	Loss: 2.3401	LR: 0.066752
Training Epoch: 1 [33408/49812]	Loss: 2.7984	LR: 0.066881
Training Epoch: 1 [33472/49812]	Loss: 2.3151	LR: 0.067009
Training Epoch: 1 [33536/49812]	Loss: 2.2772	LR: 0.067137
Training Epoch: 1 [33600/49812]	Loss: 2.5052	LR: 0.067266
Training Epoch: 1 [33664/49812]	Loss: 2.2337	LR: 0.067394
Training Epoch: 1 [33728/49812]	Loss: 2.2565	LR: 0.067522
Training Epoch: 1 [33792/49812]	Loss: 2.4421	LR: 0.067651
Training Epoch: 1 [33856/49812]	Loss: 2.6259	LR: 0.067779
Training Epoch: 1 [33920/49812]	Loss: 2.4084	LR: 0.067908
Training Epoch: 1 [33984/49812]	Loss: 2.6142	LR: 0.068036
Training Epoch: 1 [34048/49812]	Loss: 2.3579	LR: 0.068164
Training Epoch: 1 [34112/49812]	Loss: 2.4477	LR: 0.068293
Training Epoch: 1 [34176/49812]	Loss: 2.6109	LR: 0.068421
Training Epoch: 1 [34240/49812]	Loss: 2.4979	LR: 0.068549
Training Epoch: 1 [34304/49812]	Loss: 2.4188	LR: 0.068678
Training Epoch: 1 [34368/49812]	Loss: 2.4678	LR: 0.068806
Training Epoch: 1 [34432/49812]	Loss: 2.5240	LR: 0.068935
Training Epoch: 1 [34496/49812]	Loss: 2.3543	LR: 0.069063
Training Epoch: 1 [34560/49812]	Loss: 2.4736	LR: 0.069191
Training Epoch: 1 [34624/49812]	Loss: 2.6206	LR: 0.069320
Training Epoch: 1 [34688/49812]	Loss: 2.4063	LR: 0.069448
Training Epoch: 1 [34752/49812]	Loss: 2.3283	LR: 0.069576
Training Epoch: 1 [34816/49812]	Loss: 2.4840	LR: 0.069705
Training Epoch: 1 [34880/49812]	Loss: 2.1885	LR: 0.069833
Training Epoch: 1 [34944/49812]	Loss: 2.4773	LR: 0.069961
Training Epoch: 1 [35008/49812]	Loss: 2.3683	LR: 0.070090
Training Epoch: 1 [35072/49812]	Loss: 2.4413	LR: 0.070218
Training Epoch: 1 [35136/49812]	Loss: 2.4341	LR: 0.070347
Training Epoch: 1 [35200/49812]	Loss: 2.4585	LR: 0.070475
Training Epoch: 1 [35264/49812]	Loss: 2.3688	LR: 0.070603
Training Epoch: 1 [35328/49812]	Loss: 2.1974	LR: 0.070732
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Training Epoch: 1 [49792/49812]	Loss: 2.5873	LR: 0.099743
Training Epoch: 1 [49812/49812]	Loss: 2.4728	LR: 0.099872
Epoch 1 - Average Train Loss: 2.5140, Train Accuracy: 0.2192
Epoch 1 training time consumed: 260.73s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0385, Accuracy: 0.2543, Time consumed:17.34s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-1-best.pth
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Training Epoch: 2 [3520/49812]	Loss: 2.3677	LR: 0.100000
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Training Epoch: 2 [10432/49812]	Loss: 2.3255	LR: 0.100000
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Training Epoch: 2 [22400/49812]	Loss: 1.9127	LR: 0.100000
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Training Epoch: 2 [22656/49812]	Loss: 2.4883	LR: 0.100000
Training Epoch: 2 [22720/49812]	Loss: 2.3099	LR: 0.100000
Training Epoch: 2 [22784/49812]	Loss: 2.3762	LR: 0.100000
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Training Epoch: 2 [23232/49812]	Loss: 1.8760	LR: 0.100000
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Training Epoch: 2 [24512/49812]	Loss: 1.9804	LR: 0.100000
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Training Epoch: 2 [24896/49812]	Loss: 2.3151	LR: 0.100000
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Training Epoch: 2 [25472/49812]	Loss: 1.9569	LR: 0.100000
Training Epoch: 2 [25536/49812]	Loss: 2.1977	LR: 0.100000
Training Epoch: 2 [25600/49812]	Loss: 1.9651	LR: 0.100000
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Training Epoch: 2 [25792/49812]	Loss: 2.0384	LR: 0.100000
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Training Epoch: 2 [27008/49812]	Loss: 1.8463	LR: 0.100000
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Training Epoch: 2 [27584/49812]	Loss: 1.9484	LR: 0.100000
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Training Epoch: 2 [29440/49812]	Loss: 1.9786	LR: 0.100000
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Training Epoch: 2 [32896/49812]	Loss: 1.9705	LR: 0.100000
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Training Epoch: 2 [49812/49812]	Loss: 2.4059	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1910, Train Accuracy: 0.3174
Epoch 2 training time consumed: 263.67s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0343, Accuracy: 0.3263, Time consumed:17.31s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-2-best.pth
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Training Epoch: 3 [11200/49812]	Loss: 2.1306	LR: 0.100000
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Training Epoch: 3 [11328/49812]	Loss: 2.1790	LR: 0.100000
Training Epoch: 3 [11392/49812]	Loss: 2.0779	LR: 0.100000
Training Epoch: 3 [11456/49812]	Loss: 2.1209	LR: 0.100000
Training Epoch: 3 [11520/49812]	Loss: 1.8609	LR: 0.100000
Training Epoch: 3 [11584/49812]	Loss: 1.9982	LR: 0.100000
Training Epoch: 3 [11648/49812]	Loss: 2.3713	LR: 0.100000
Training Epoch: 3 [11712/49812]	Loss: 1.9447	LR: 0.100000
Training Epoch: 3 [11776/49812]	Loss: 2.0056	LR: 0.100000
Training Epoch: 3 [11840/49812]	Loss: 2.0931	LR: 0.100000
Training Epoch: 3 [11904/49812]	Loss: 2.0701	LR: 0.100000
Training Epoch: 3 [11968/49812]	Loss: 2.1173	LR: 0.100000
Training Epoch: 3 [12032/49812]	Loss: 2.2786	LR: 0.100000
Training Epoch: 3 [12096/49812]	Loss: 2.1893	LR: 0.100000
Training Epoch: 3 [12160/49812]	Loss: 1.8630	LR: 0.100000
Training Epoch: 3 [12224/49812]	Loss: 2.0236	LR: 0.100000
Training Epoch: 3 [12288/49812]	Loss: 1.8239	LR: 0.100000
Training Epoch: 3 [12352/49812]	Loss: 2.1858	LR: 0.100000
Training Epoch: 3 [12416/49812]	Loss: 2.0173	LR: 0.100000
Training Epoch: 3 [12480/49812]	Loss: 2.4645	LR: 0.100000
Training Epoch: 3 [12544/49812]	Loss: 1.9622	LR: 0.100000
Training Epoch: 3 [12608/49812]	Loss: 1.5789	LR: 0.100000
Training Epoch: 3 [12672/49812]	Loss: 1.8072	LR: 0.100000
Training Epoch: 3 [12736/49812]	Loss: 1.9908	LR: 0.100000
Training Epoch: 3 [12800/49812]	Loss: 1.7977	LR: 0.100000
Training Epoch: 3 [12864/49812]	Loss: 2.1026	LR: 0.100000
Training Epoch: 3 [12928/49812]	Loss: 1.9281	LR: 0.100000
Training Epoch: 3 [12992/49812]	Loss: 1.6783	LR: 0.100000
Training Epoch: 3 [13056/49812]	Loss: 2.2447	LR: 0.100000
Training Epoch: 3 [13120/49812]	Loss: 2.2308	LR: 0.100000
Training Epoch: 3 [13184/49812]	Loss: 2.0831	LR: 0.100000
Training Epoch: 3 [13248/49812]	Loss: 1.8804	LR: 0.100000
Training Epoch: 3 [13312/49812]	Loss: 1.8703	LR: 0.100000
Training Epoch: 3 [13376/49812]	Loss: 2.0174	LR: 0.100000
Training Epoch: 3 [13440/49812]	Loss: 1.9097	LR: 0.100000
Training Epoch: 3 [13504/49812]	Loss: 2.1929	LR: 0.100000
Training Epoch: 3 [13568/49812]	Loss: 2.2061	LR: 0.100000
Training Epoch: 3 [13632/49812]	Loss: 1.9119	LR: 0.100000
Training Epoch: 3 [13696/49812]	Loss: 1.7587	LR: 0.100000
Training Epoch: 3 [13760/49812]	Loss: 2.0196	LR: 0.100000
Training Epoch: 3 [13824/49812]	Loss: 2.0029	LR: 0.100000
Training Epoch: 3 [13888/49812]	Loss: 2.2063	LR: 0.100000
Training Epoch: 3 [13952/49812]	Loss: 2.0276	LR: 0.100000
Training Epoch: 3 [14016/49812]	Loss: 2.0522	LR: 0.100000
Training Epoch: 3 [14080/49812]	Loss: 1.5737	LR: 0.100000
Training Epoch: 3 [14144/49812]	Loss: 2.1294	LR: 0.100000
Training Epoch: 3 [14208/49812]	Loss: 1.8832	LR: 0.100000
Training Epoch: 3 [14272/49812]	Loss: 1.9694	LR: 0.100000
Training Epoch: 3 [14336/49812]	Loss: 2.2434	LR: 0.100000
Training Epoch: 3 [14400/49812]	Loss: 2.4205	LR: 0.100000
Training Epoch: 3 [14464/49812]	Loss: 1.9804	LR: 0.100000
Training Epoch: 3 [14528/49812]	Loss: 1.9827	LR: 0.100000
Training Epoch: 3 [14592/49812]	Loss: 2.0201	LR: 0.100000
Training Epoch: 3 [14656/49812]	Loss: 1.6647	LR: 0.100000
Training Epoch: 3 [14720/49812]	Loss: 1.8714	LR: 0.100000
Training Epoch: 3 [14784/49812]	Loss: 2.3826	LR: 0.100000
Training Epoch: 3 [14848/49812]	Loss: 2.1684	LR: 0.100000
Training Epoch: 3 [14912/49812]	Loss: 1.9729	LR: 0.100000
Training Epoch: 3 [14976/49812]	Loss: 2.2883	LR: 0.100000
Training Epoch: 3 [15040/49812]	Loss: 2.1141	LR: 0.100000
Training Epoch: 3 [15104/49812]	Loss: 1.9478	LR: 0.100000
Training Epoch: 3 [15168/49812]	Loss: 1.9810	LR: 0.100000
Training Epoch: 3 [15232/49812]	Loss: 2.2899	LR: 0.100000
Training Epoch: 3 [15296/49812]	Loss: 1.9921	LR: 0.100000
Training Epoch: 3 [15360/49812]	Loss: 2.0924	LR: 0.100000
Training Epoch: 3 [15424/49812]	Loss: 2.1099	LR: 0.100000
Training Epoch: 3 [15488/49812]	Loss: 2.0478	LR: 0.100000
Training Epoch: 3 [15552/49812]	Loss: 1.6909	LR: 0.100000
Training Epoch: 3 [15616/49812]	Loss: 1.9747	LR: 0.100000
Training Epoch: 3 [15680/49812]	Loss: 2.0291	LR: 0.100000
Training Epoch: 3 [15744/49812]	Loss: 1.9688	LR: 0.100000
Training Epoch: 3 [15808/49812]	Loss: 1.9058	LR: 0.100000
Training Epoch: 3 [15872/49812]	Loss: 2.0474	LR: 0.100000
Training Epoch: 3 [15936/49812]	Loss: 2.1134	LR: 0.100000
Training Epoch: 3 [16000/49812]	Loss: 2.1648	LR: 0.100000
Training Epoch: 3 [16064/49812]	Loss: 2.0426	LR: 0.100000
Training Epoch: 3 [16128/49812]	Loss: 2.2071	LR: 0.100000
Training Epoch: 3 [16192/49812]	Loss: 1.9869	LR: 0.100000
Training Epoch: 3 [16256/49812]	Loss: 2.1539	LR: 0.100000
Training Epoch: 3 [16320/49812]	Loss: 1.7294	LR: 0.100000
Training Epoch: 3 [16384/49812]	Loss: 2.1365	LR: 0.100000
Training Epoch: 3 [16448/49812]	Loss: 1.8849	LR: 0.100000
Training Epoch: 3 [16512/49812]	Loss: 1.9128	LR: 0.100000
Training Epoch: 3 [16576/49812]	Loss: 1.9570	LR: 0.100000
Training Epoch: 3 [16640/49812]	Loss: 2.2158	LR: 0.100000
Training Epoch: 3 [16704/49812]	Loss: 2.0190	LR: 0.100000
Training Epoch: 3 [16768/49812]	Loss: 2.3115	LR: 0.100000
Training Epoch: 3 [16832/49812]	Loss: 1.9443	LR: 0.100000
Training Epoch: 3 [16896/49812]	Loss: 1.9164	LR: 0.100000
Training Epoch: 3 [16960/49812]	Loss: 1.8536	LR: 0.100000
Training Epoch: 3 [17024/49812]	Loss: 1.7798	LR: 0.100000
Training Epoch: 3 [17088/49812]	Loss: 2.0944	LR: 0.100000
Training Epoch: 3 [17152/49812]	Loss: 2.0894	LR: 0.100000
Training Epoch: 3 [17216/49812]	Loss: 2.0858	LR: 0.100000
Training Epoch: 3 [17280/49812]	Loss: 2.0120	LR: 0.100000
Training Epoch: 3 [17344/49812]	Loss: 2.0792	LR: 0.100000
Training Epoch: 3 [17408/49812]	Loss: 2.1103	LR: 0.100000
Training Epoch: 3 [17472/49812]	Loss: 2.1338	LR: 0.100000
Training Epoch: 3 [17536/49812]	Loss: 2.0916	LR: 0.100000
Training Epoch: 3 [17600/49812]	Loss: 2.1485	LR: 0.100000
Training Epoch: 3 [17664/49812]	Loss: 2.0975	LR: 0.100000
Training Epoch: 3 [17728/49812]	Loss: 1.9106	LR: 0.100000
Training Epoch: 3 [17792/49812]	Loss: 1.9514	LR: 0.100000
Training Epoch: 3 [17856/49812]	Loss: 1.7901	LR: 0.100000
Training Epoch: 3 [17920/49812]	Loss: 1.9874	LR: 0.100000
Training Epoch: 3 [17984/49812]	Loss: 2.1061	LR: 0.100000
Training Epoch: 3 [18048/49812]	Loss: 1.8332	LR: 0.100000
Training Epoch: 3 [18112/49812]	Loss: 2.0745	LR: 0.100000
Training Epoch: 3 [18176/49812]	Loss: 2.0547	LR: 0.100000
Training Epoch: 3 [18240/49812]	Loss: 1.9371	LR: 0.100000
Training Epoch: 3 [18304/49812]	Loss: 1.7436	LR: 0.100000
Training Epoch: 3 [18368/49812]	Loss: 2.0374	LR: 0.100000
Training Epoch: 3 [18432/49812]	Loss: 2.0566	LR: 0.100000
Training Epoch: 3 [18496/49812]	Loss: 1.9117	LR: 0.100000
Training Epoch: 3 [18560/49812]	Loss: 2.0120	LR: 0.100000
Training Epoch: 3 [18624/49812]	Loss: 2.1206	LR: 0.100000
Training Epoch: 3 [18688/49812]	Loss: 1.9329	LR: 0.100000
Training Epoch: 3 [18752/49812]	Loss: 1.9000	LR: 0.100000
Training Epoch: 3 [18816/49812]	Loss: 1.6550	LR: 0.100000
Training Epoch: 3 [18880/49812]	Loss: 1.7554	LR: 0.100000
Training Epoch: 3 [18944/49812]	Loss: 1.8913	LR: 0.100000
Training Epoch: 3 [19008/49812]	Loss: 1.8595	LR: 0.100000
Training Epoch: 3 [19072/49812]	Loss: 1.8439	LR: 0.100000
Training Epoch: 3 [19136/49812]	Loss: 2.1224	LR: 0.100000
Training Epoch: 3 [19200/49812]	Loss: 1.8797	LR: 0.100000
Training Epoch: 3 [19264/49812]	Loss: 2.2822	LR: 0.100000
Training Epoch: 3 [19328/49812]	Loss: 1.9950	LR: 0.100000
Training Epoch: 3 [19392/49812]	Loss: 2.1666	LR: 0.100000
Training Epoch: 3 [19456/49812]	Loss: 1.9387	LR: 0.100000
Training Epoch: 3 [19520/49812]	Loss: 1.7448	LR: 0.100000
Training Epoch: 3 [19584/49812]	Loss: 1.8134	LR: 0.100000
Training Epoch: 3 [19648/49812]	Loss: 2.1526	LR: 0.100000
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Training Epoch: 3 [19840/49812]	Loss: 1.9185	LR: 0.100000
Training Epoch: 3 [19904/49812]	Loss: 2.0047	LR: 0.100000
Training Epoch: 3 [19968/49812]	Loss: 1.8634	LR: 0.100000
Training Epoch: 3 [20032/49812]	Loss: 1.7813	LR: 0.100000
Training Epoch: 3 [20096/49812]	Loss: 2.0887	LR: 0.100000
Training Epoch: 3 [20160/49812]	Loss: 1.9164	LR: 0.100000
Training Epoch: 3 [20224/49812]	Loss: 1.9186	LR: 0.100000
Training Epoch: 3 [20288/49812]	Loss: 1.8167	LR: 0.100000
Training Epoch: 3 [20352/49812]	Loss: 1.9483	LR: 0.100000
Training Epoch: 3 [20416/49812]	Loss: 1.9846	LR: 0.100000
Training Epoch: 3 [20480/49812]	Loss: 1.9881	LR: 0.100000
Training Epoch: 3 [20544/49812]	Loss: 1.9019	LR: 0.100000
Training Epoch: 3 [20608/49812]	Loss: 2.1585	LR: 0.100000
Training Epoch: 3 [20672/49812]	Loss: 2.0441	LR: 0.100000
Training Epoch: 3 [20736/49812]	Loss: 1.8149	LR: 0.100000
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Training Epoch: 3 [20864/49812]	Loss: 1.8876	LR: 0.100000
Training Epoch: 3 [20928/49812]	Loss: 1.8466	LR: 0.100000
Training Epoch: 3 [20992/49812]	Loss: 2.1791	LR: 0.100000
Training Epoch: 3 [21056/49812]	Loss: 1.9930	LR: 0.100000
Training Epoch: 3 [21120/49812]	Loss: 2.2576	LR: 0.100000
Training Epoch: 3 [21184/49812]	Loss: 2.1203	LR: 0.100000
Training Epoch: 3 [21248/49812]	Loss: 2.1903	LR: 0.100000
Training Epoch: 3 [21312/49812]	Loss: 2.1836	LR: 0.100000
Training Epoch: 3 [21376/49812]	Loss: 1.9693	LR: 0.100000
Training Epoch: 3 [21440/49812]	Loss: 2.0260	LR: 0.100000
Training Epoch: 3 [21504/49812]	Loss: 2.1266	LR: 0.100000
Training Epoch: 3 [21568/49812]	Loss: 1.9606	LR: 0.100000
Training Epoch: 3 [21632/49812]	Loss: 1.9024	LR: 0.100000
Training Epoch: 3 [21696/49812]	Loss: 1.9952	LR: 0.100000
Training Epoch: 3 [21760/49812]	Loss: 2.1470	LR: 0.100000
Training Epoch: 3 [21824/49812]	Loss: 2.1028	LR: 0.100000
Training Epoch: 3 [21888/49812]	Loss: 1.8087	LR: 0.100000
Training Epoch: 3 [21952/49812]	Loss: 2.0071	LR: 0.100000
Training Epoch: 3 [22016/49812]	Loss: 1.7542	LR: 0.100000
Training Epoch: 3 [22080/49812]	Loss: 2.0784	LR: 0.100000
Training Epoch: 3 [22144/49812]	Loss: 2.2697	LR: 0.100000
Training Epoch: 3 [22208/49812]	Loss: 1.8473	LR: 0.100000
Training Epoch: 3 [22272/49812]	Loss: 1.8842	LR: 0.100000
Training Epoch: 3 [22336/49812]	Loss: 1.7089	LR: 0.100000
Training Epoch: 3 [22400/49812]	Loss: 2.0618	LR: 0.100000
Training Epoch: 3 [22464/49812]	Loss: 1.8345	LR: 0.100000
Training Epoch: 3 [22528/49812]	Loss: 2.1329	LR: 0.100000
Training Epoch: 3 [22592/49812]	Loss: 1.8528	LR: 0.100000
Training Epoch: 3 [22656/49812]	Loss: 2.1817	LR: 0.100000
Training Epoch: 3 [22720/49812]	Loss: 1.9233	LR: 0.100000
Training Epoch: 3 [22784/49812]	Loss: 1.9212	LR: 0.100000
Training Epoch: 3 [22848/49812]	Loss: 1.9451	LR: 0.100000
Training Epoch: 3 [22912/49812]	Loss: 2.1996	LR: 0.100000
Training Epoch: 3 [22976/49812]	Loss: 2.1436	LR: 0.100000
Training Epoch: 3 [23040/49812]	Loss: 2.0276	LR: 0.100000
Training Epoch: 3 [23104/49812]	Loss: 1.8470	LR: 0.100000
Training Epoch: 3 [23168/49812]	Loss: 1.7757	LR: 0.100000
Training Epoch: 3 [23232/49812]	Loss: 2.0233	LR: 0.100000
Training Epoch: 3 [23296/49812]	Loss: 1.8763	LR: 0.100000
Training Epoch: 3 [23360/49812]	Loss: 2.0184	LR: 0.100000
Training Epoch: 3 [23424/49812]	Loss: 1.7486	LR: 0.100000
Training Epoch: 3 [23488/49812]	Loss: 1.9647	LR: 0.100000
Training Epoch: 3 [23552/49812]	Loss: 2.0852	LR: 0.100000
Training Epoch: 3 [23616/49812]	Loss: 2.0920	LR: 0.100000
Training Epoch: 3 [23680/49812]	Loss: 1.9146	LR: 0.100000
Training Epoch: 3 [23744/49812]	Loss: 2.1488	LR: 0.100000
Training Epoch: 3 [23808/49812]	Loss: 1.9030	LR: 0.100000
Training Epoch: 3 [23872/49812]	Loss: 2.0422	LR: 0.100000
Training Epoch: 3 [23936/49812]	Loss: 1.8785	LR: 0.100000
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Training Epoch: 3 [24064/49812]	Loss: 2.0227	LR: 0.100000
Training Epoch: 3 [24128/49812]	Loss: 2.1816	LR: 0.100000
Training Epoch: 3 [24192/49812]	Loss: 2.1112	LR: 0.100000
Training Epoch: 3 [24256/49812]	Loss: 1.9181	LR: 0.100000
Training Epoch: 3 [24320/49812]	Loss: 1.9251	LR: 0.100000
Training Epoch: 3 [24384/49812]	Loss: 2.0088	LR: 0.100000
Training Epoch: 3 [24448/49812]	Loss: 2.0599	LR: 0.100000
Training Epoch: 3 [24512/49812]	Loss: 2.0198	LR: 0.100000
Training Epoch: 3 [24576/49812]	Loss: 2.1745	LR: 0.100000
Training Epoch: 3 [24640/49812]	Loss: 1.9827	LR: 0.100000
Training Epoch: 3 [24704/49812]	Loss: 1.9741	LR: 0.100000
Training Epoch: 3 [24768/49812]	Loss: 1.8134	LR: 0.100000
Training Epoch: 3 [24832/49812]	Loss: 2.0352	LR: 0.100000
Training Epoch: 3 [24896/49812]	Loss: 2.2116	LR: 0.100000
Training Epoch: 3 [24960/49812]	Loss: 1.8058	LR: 0.100000
Training Epoch: 3 [25024/49812]	Loss: 1.7844	LR: 0.100000
Training Epoch: 3 [25088/49812]	Loss: 2.0511	LR: 0.100000
Training Epoch: 3 [25152/49812]	Loss: 1.9888	LR: 0.100000
Training Epoch: 3 [25216/49812]	Loss: 2.0204	LR: 0.100000
Training Epoch: 3 [25280/49812]	Loss: 1.7976	LR: 0.100000
Training Epoch: 3 [25344/49812]	Loss: 1.7766	LR: 0.100000
Training Epoch: 3 [25408/49812]	Loss: 1.9295	LR: 0.100000
Training Epoch: 3 [25472/49812]	Loss: 1.9142	LR: 0.100000
Training Epoch: 3 [25536/49812]	Loss: 1.8093	LR: 0.100000
Training Epoch: 3 [25600/49812]	Loss: 2.0326	LR: 0.100000
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Training Epoch: 3 [25792/49812]	Loss: 2.1573	LR: 0.100000
Training Epoch: 3 [25856/49812]	Loss: 1.8550	LR: 0.100000
Training Epoch: 3 [25920/49812]	Loss: 1.7910	LR: 0.100000
Training Epoch: 3 [25984/49812]	Loss: 1.8119	LR: 0.100000
Training Epoch: 3 [26048/49812]	Loss: 2.0910	LR: 0.100000
Training Epoch: 3 [26112/49812]	Loss: 1.5912	LR: 0.100000
Training Epoch: 3 [26176/49812]	Loss: 1.8711	LR: 0.100000
Training Epoch: 3 [26240/49812]	Loss: 2.0166	LR: 0.100000
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Training Epoch: 3 [26368/49812]	Loss: 1.6957	LR: 0.100000
Training Epoch: 3 [26432/49812]	Loss: 2.1768	LR: 0.100000
Training Epoch: 3 [26496/49812]	Loss: 1.9942	LR: 0.100000
Training Epoch: 3 [26560/49812]	Loss: 1.9186	LR: 0.100000
Training Epoch: 3 [26624/49812]	Loss: 2.0729	LR: 0.100000
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Training Epoch: 3 [26816/49812]	Loss: 2.0763	LR: 0.100000
Training Epoch: 3 [26880/49812]	Loss: 2.0292	LR: 0.100000
Training Epoch: 3 [26944/49812]	Loss: 2.0628	LR: 0.100000
Training Epoch: 3 [27008/49812]	Loss: 1.9063	LR: 0.100000
Training Epoch: 3 [27072/49812]	Loss: 1.9945	LR: 0.100000
Training Epoch: 3 [27136/49812]	Loss: 2.2376	LR: 0.100000
Training Epoch: 3 [27200/49812]	Loss: 1.8039	LR: 0.100000
Training Epoch: 3 [27264/49812]	Loss: 2.1132	LR: 0.100000
Training Epoch: 3 [27328/49812]	Loss: 2.1949	LR: 0.100000
Training Epoch: 3 [27392/49812]	Loss: 1.8194	LR: 0.100000
Training Epoch: 3 [27456/49812]	Loss: 2.1485	LR: 0.100000
Training Epoch: 3 [27520/49812]	Loss: 2.2117	LR: 0.100000
Training Epoch: 3 [27584/49812]	Loss: 1.9065	LR: 0.100000
Training Epoch: 3 [27648/49812]	Loss: 2.3445	LR: 0.100000
Training Epoch: 3 [27712/49812]	Loss: 2.1076	LR: 0.100000
Training Epoch: 3 [27776/49812]	Loss: 1.7623	LR: 0.100000
Training Epoch: 3 [27840/49812]	Loss: 2.0185	LR: 0.100000
Training Epoch: 3 [27904/49812]	Loss: 2.1542	LR: 0.100000
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Training Epoch: 3 [28032/49812]	Loss: 2.0334	LR: 0.100000
Training Epoch: 3 [28096/49812]	Loss: 1.7666	LR: 0.100000
Training Epoch: 3 [28160/49812]	Loss: 2.1883	LR: 0.100000
Training Epoch: 3 [28224/49812]	Loss: 1.8103	LR: 0.100000
Training Epoch: 3 [28288/49812]	Loss: 2.0889	LR: 0.100000
Training Epoch: 3 [28352/49812]	Loss: 1.9101	LR: 0.100000
Training Epoch: 3 [28416/49812]	Loss: 1.7070	LR: 0.100000
Training Epoch: 3 [28480/49812]	Loss: 2.0820	LR: 0.100000
Training Epoch: 3 [28544/49812]	Loss: 2.0565	LR: 0.100000
Training Epoch: 3 [28608/49812]	Loss: 1.7647	LR: 0.100000
Training Epoch: 3 [28672/49812]	Loss: 1.9946	LR: 0.100000
Training Epoch: 3 [28736/49812]	Loss: 2.0462	LR: 0.100000
Training Epoch: 3 [28800/49812]	Loss: 1.7688	LR: 0.100000
Training Epoch: 3 [28864/49812]	Loss: 1.9260	LR: 0.100000
Training Epoch: 3 [28928/49812]	Loss: 2.1920	LR: 0.100000
Training Epoch: 3 [28992/49812]	Loss: 2.0541	LR: 0.100000
Training Epoch: 3 [29056/49812]	Loss: 1.9982	LR: 0.100000
Training Epoch: 3 [29120/49812]	Loss: 1.7806	LR: 0.100000
Training Epoch: 3 [29184/49812]	Loss: 1.6313	LR: 0.100000
Training Epoch: 3 [29248/49812]	Loss: 1.5697	LR: 0.100000
Training Epoch: 3 [29312/49812]	Loss: 1.7448	LR: 0.100000
Training Epoch: 3 [29376/49812]	Loss: 1.7016	LR: 0.100000
Training Epoch: 3 [29440/49812]	Loss: 2.2132	LR: 0.100000
Training Epoch: 3 [29504/49812]	Loss: 1.7820	LR: 0.100000
Training Epoch: 3 [29568/49812]	Loss: 2.1562	LR: 0.100000
Training Epoch: 3 [29632/49812]	Loss: 1.9650	LR: 0.100000
Training Epoch: 3 [29696/49812]	Loss: 1.8451	LR: 0.100000
Training Epoch: 3 [29760/49812]	Loss: 1.8734	LR: 0.100000
Training Epoch: 3 [29824/49812]	Loss: 1.7851	LR: 0.100000
Training Epoch: 3 [29888/49812]	Loss: 2.1366	LR: 0.100000
Training Epoch: 3 [29952/49812]	Loss: 2.0296	LR: 0.100000
Training Epoch: 3 [30016/49812]	Loss: 1.9890	LR: 0.100000
Training Epoch: 3 [30080/49812]	Loss: 1.8150	LR: 0.100000
Training Epoch: 3 [30144/49812]	Loss: 1.7080	LR: 0.100000
Training Epoch: 3 [30208/49812]	Loss: 2.1342	LR: 0.100000
Training Epoch: 3 [30272/49812]	Loss: 1.9851	LR: 0.100000
Training Epoch: 3 [30336/49812]	Loss: 1.9142	LR: 0.100000
Training Epoch: 3 [30400/49812]	Loss: 2.1219	LR: 0.100000
Training Epoch: 3 [30464/49812]	Loss: 2.0115	LR: 0.100000
Training Epoch: 3 [30528/49812]	Loss: 1.9464	LR: 0.100000
Training Epoch: 3 [30592/49812]	Loss: 1.6214	LR: 0.100000
Training Epoch: 3 [30656/49812]	Loss: 1.8967	LR: 0.100000
Training Epoch: 3 [30720/49812]	Loss: 1.6317	LR: 0.100000
Training Epoch: 3 [30784/49812]	Loss: 1.8894	LR: 0.100000
Training Epoch: 3 [30848/49812]	Loss: 1.7258	LR: 0.100000
Training Epoch: 3 [30912/49812]	Loss: 1.8567	LR: 0.100000
Training Epoch: 3 [30976/49812]	Loss: 2.0507	LR: 0.100000
Training Epoch: 3 [31040/49812]	Loss: 2.0288	LR: 0.100000
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Training Epoch: 3 [31168/49812]	Loss: 1.7616	LR: 0.100000
Training Epoch: 3 [31232/49812]	Loss: 2.1363	LR: 0.100000
Training Epoch: 3 [31296/49812]	Loss: 2.2466	LR: 0.100000
Training Epoch: 3 [31360/49812]	Loss: 1.9444	LR: 0.100000
Training Epoch: 3 [31424/49812]	Loss: 1.7458	LR: 0.100000
Training Epoch: 3 [31488/49812]	Loss: 1.9724	LR: 0.100000
Training Epoch: 3 [31552/49812]	Loss: 1.5841	LR: 0.100000
Training Epoch: 3 [31616/49812]	Loss: 2.0105	LR: 0.100000
Training Epoch: 3 [31680/49812]	Loss: 1.9945	LR: 0.100000
Training Epoch: 3 [31744/49812]	Loss: 1.9956	LR: 0.100000
Training Epoch: 3 [31808/49812]	Loss: 1.8198	LR: 0.100000
Training Epoch: 3 [31872/49812]	Loss: 1.8912	LR: 0.100000
Training Epoch: 3 [31936/49812]	Loss: 1.8070	LR: 0.100000
Training Epoch: 3 [32000/49812]	Loss: 1.9359	LR: 0.100000
Training Epoch: 3 [32064/49812]	Loss: 1.9504	LR: 0.100000
Training Epoch: 3 [32128/49812]	Loss: 1.8428	LR: 0.100000
Training Epoch: 3 [32192/49812]	Loss: 1.7512	LR: 0.100000
Training Epoch: 3 [32256/49812]	Loss: 1.7349	LR: 0.100000
Training Epoch: 3 [32320/49812]	Loss: 1.7825	LR: 0.100000
Training Epoch: 3 [32384/49812]	Loss: 1.7798	LR: 0.100000
Training Epoch: 3 [32448/49812]	Loss: 1.9405	LR: 0.100000
Training Epoch: 3 [32512/49812]	Loss: 2.2700	LR: 0.100000
Training Epoch: 3 [32576/49812]	Loss: 1.9240	LR: 0.100000
Training Epoch: 3 [32640/49812]	Loss: 1.9314	LR: 0.100000
Training Epoch: 3 [32704/49812]	Loss: 1.9657	LR: 0.100000
Training Epoch: 3 [32768/49812]	Loss: 1.7742	LR: 0.100000
Training Epoch: 3 [32832/49812]	Loss: 1.9235	LR: 0.100000
Training Epoch: 3 [32896/49812]	Loss: 1.7751	LR: 0.100000
Training Epoch: 3 [32960/49812]	Loss: 2.1555	LR: 0.100000
Training Epoch: 3 [33024/49812]	Loss: 2.0581	LR: 0.100000
Training Epoch: 3 [33088/49812]	Loss: 1.8274	LR: 0.100000
Training Epoch: 3 [33152/49812]	Loss: 1.7350	LR: 0.100000
Training Epoch: 3 [33216/49812]	Loss: 2.0901	LR: 0.100000
Training Epoch: 3 [33280/49812]	Loss: 1.9850	LR: 0.100000
Training Epoch: 3 [33344/49812]	Loss: 2.0732	LR: 0.100000
Training Epoch: 3 [33408/49812]	Loss: 1.7570	LR: 0.100000
Training Epoch: 3 [33472/49812]	Loss: 1.8418	LR: 0.100000
Training Epoch: 3 [33536/49812]	Loss: 1.8781	LR: 0.100000
Training Epoch: 3 [33600/49812]	Loss: 1.9413	LR: 0.100000
Training Epoch: 3 [33664/49812]	Loss: 2.2012	LR: 0.100000
Training Epoch: 3 [33728/49812]	Loss: 1.7570	LR: 0.100000
Training Epoch: 3 [33792/49812]	Loss: 1.8755	LR: 0.100000
Training Epoch: 3 [33856/49812]	Loss: 1.8356	LR: 0.100000
Training Epoch: 3 [33920/49812]	Loss: 2.0340	LR: 0.100000
Training Epoch: 3 [33984/49812]	Loss: 1.9716	LR: 0.100000
Training Epoch: 3 [34048/49812]	Loss: 1.7684	LR: 0.100000
Training Epoch: 3 [34112/49812]	Loss: 1.8094	LR: 0.100000
Training Epoch: 3 [34176/49812]	Loss: 2.0034	LR: 0.100000
Training Epoch: 3 [34240/49812]	Loss: 1.9846	LR: 0.100000
Training Epoch: 3 [34304/49812]	Loss: 2.0899	LR: 0.100000
Training Epoch: 3 [34368/49812]	Loss: 2.0302	LR: 0.100000
Training Epoch: 3 [34432/49812]	Loss: 1.7536	LR: 0.100000
Training Epoch: 3 [34496/49812]	Loss: 1.9443	LR: 0.100000
Training Epoch: 3 [34560/49812]	Loss: 1.9534	LR: 0.100000
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Training Epoch: 3 [34688/49812]	Loss: 1.6871	LR: 0.100000
Training Epoch: 3 [34752/49812]	Loss: 1.9596	LR: 0.100000
Training Epoch: 3 [34816/49812]	Loss: 1.8791	LR: 0.100000
Training Epoch: 3 [34880/49812]	Loss: 2.0799	LR: 0.100000
Training Epoch: 3 [34944/49812]	Loss: 2.1874	LR: 0.100000
Training Epoch: 3 [35008/49812]	Loss: 2.0866	LR: 0.100000
Training Epoch: 3 [35072/49812]	Loss: 1.9223	LR: 0.100000
Training Epoch: 3 [35136/49812]	Loss: 1.8112	LR: 0.100000
Training Epoch: 3 [35200/49812]	Loss: 1.9322	LR: 0.100000
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Training Epoch: 3 [35328/49812]	Loss: 1.9086	LR: 0.100000
Training Epoch: 3 [35392/49812]	Loss: 1.8564	LR: 0.100000
Training Epoch: 3 [35456/49812]	Loss: 2.1129	LR: 0.100000
Training Epoch: 3 [35520/49812]	Loss: 1.8877	LR: 0.100000
Training Epoch: 3 [35584/49812]	Loss: 2.1256	LR: 0.100000
Training Epoch: 3 [35648/49812]	Loss: 1.8550	LR: 0.100000
Training Epoch: 3 [35712/49812]	Loss: 2.0644	LR: 0.100000
Training Epoch: 3 [35776/49812]	Loss: 2.0452	LR: 0.100000
Training Epoch: 3 [35840/49812]	Loss: 1.9809	LR: 0.100000
Training Epoch: 3 [35904/49812]	Loss: 1.8840	LR: 0.100000
Training Epoch: 3 [35968/49812]	Loss: 1.7310	LR: 0.100000
Training Epoch: 3 [36032/49812]	Loss: 1.9697	LR: 0.100000
Training Epoch: 3 [36096/49812]	Loss: 1.7488	LR: 0.100000
Training Epoch: 3 [36160/49812]	Loss: 2.1903	LR: 0.100000
Training Epoch: 3 [36224/49812]	Loss: 1.8380	LR: 0.100000
Training Epoch: 3 [36288/49812]	Loss: 2.1481	LR: 0.100000
Training Epoch: 3 [36352/49812]	Loss: 1.9798	LR: 0.100000
Training Epoch: 3 [36416/49812]	Loss: 2.0143	LR: 0.100000
Training Epoch: 3 [36480/49812]	Loss: 2.1859	LR: 0.100000
Training Epoch: 3 [36544/49812]	Loss: 1.7280	LR: 0.100000
Training Epoch: 3 [36608/49812]	Loss: 1.8470	LR: 0.100000
Training Epoch: 3 [36672/49812]	Loss: 1.9233	LR: 0.100000
Training Epoch: 3 [36736/49812]	Loss: 1.8041	LR: 0.100000
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Training Epoch: 3 [36928/49812]	Loss: 2.0936	LR: 0.100000
Training Epoch: 3 [36992/49812]	Loss: 1.6002	LR: 0.100000
Training Epoch: 3 [37056/49812]	Loss: 2.0047	LR: 0.100000
Training Epoch: 3 [37120/49812]	Loss: 2.1761	LR: 0.100000
Training Epoch: 3 [37184/49812]	Loss: 1.8742	LR: 0.100000
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Training Epoch: 3 [37312/49812]	Loss: 1.9336	LR: 0.100000
Training Epoch: 3 [37376/49812]	Loss: 1.9593	LR: 0.100000
Training Epoch: 3 [37440/49812]	Loss: 2.0869	LR: 0.100000
Training Epoch: 3 [37504/49812]	Loss: 1.8447	LR: 0.100000
Training Epoch: 3 [37568/49812]	Loss: 1.9700	LR: 0.100000
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Training Epoch: 3 [38016/49812]	Loss: 1.8740	LR: 0.100000
Training Epoch: 3 [38080/49812]	Loss: 2.1453	LR: 0.100000
Training Epoch: 3 [38144/49812]	Loss: 1.9610	LR: 0.100000
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Training Epoch: 3 [38336/49812]	Loss: 2.0370	LR: 0.100000
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Training Epoch: 3 [38464/49812]	Loss: 2.0906	LR: 0.100000
Training Epoch: 3 [38528/49812]	Loss: 1.9523	LR: 0.100000
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Training Epoch: 3 [38656/49812]	Loss: 2.3339	LR: 0.100000
Training Epoch: 3 [38720/49812]	Loss: 1.8924	LR: 0.100000
Training Epoch: 3 [38784/49812]	Loss: 1.7868	LR: 0.100000
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Training Epoch: 3 [39168/49812]	Loss: 2.1152	LR: 0.100000
Training Epoch: 3 [39232/49812]	Loss: 1.8786	LR: 0.100000
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Training Epoch: 3 [39488/49812]	Loss: 2.0382	LR: 0.100000
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Training Epoch: 3 [39616/49812]	Loss: 1.8974	LR: 0.100000
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Training Epoch: 3 [39744/49812]	Loss: 1.9494	LR: 0.100000
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Training Epoch: 3 [40064/49812]	Loss: 1.7442	LR: 0.100000
Training Epoch: 3 [40128/49812]	Loss: 1.8008	LR: 0.100000
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Training Epoch: 3 [40320/49812]	Loss: 1.8124	LR: 0.100000
Training Epoch: 3 [40384/49812]	Loss: 1.9959	LR: 0.100000
Training Epoch: 3 [40448/49812]	Loss: 2.0544	LR: 0.100000
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Training Epoch: 3 [40640/49812]	Loss: 1.8690	LR: 0.100000
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Training Epoch: 3 [40768/49812]	Loss: 1.8694	LR: 0.100000
Training Epoch: 3 [40832/49812]	Loss: 1.8843	LR: 0.100000
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Training Epoch: 3 [41024/49812]	Loss: 1.8548	LR: 0.100000
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Training Epoch: 3 [41344/49812]	Loss: 1.8788	LR: 0.100000
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Training Epoch: 3 [41984/49812]	Loss: 1.7360	LR: 0.100000
Training Epoch: 3 [42048/49812]	Loss: 1.6816	LR: 0.100000
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Training Epoch: 3 [43584/49812]	Loss: 1.6780	LR: 0.100000
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Training Epoch: 3 [44096/49812]	Loss: 2.0886	LR: 0.100000
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Training Epoch: 3 [44288/49812]	Loss: 1.9805	LR: 0.100000
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Training Epoch: 3 [44544/49812]	Loss: 1.7470	LR: 0.100000
Training Epoch: 3 [44608/49812]	Loss: 1.5876	LR: 0.100000
Training Epoch: 3 [44672/49812]	Loss: 1.9099	LR: 0.100000
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Training Epoch: 3 [44928/49812]	Loss: 1.9314	LR: 0.100000
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Training Epoch: 3 [46592/49812]	Loss: 2.1173	LR: 0.100000
Training Epoch: 3 [46656/49812]	Loss: 2.1544	LR: 0.100000
Training Epoch: 3 [46720/49812]	Loss: 1.9511	LR: 0.100000
Training Epoch: 3 [46784/49812]	Loss: 2.0688	LR: 0.100000
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Training Epoch: 3 [48192/49812]	Loss: 1.9312	LR: 0.100000
Training Epoch: 3 [48256/49812]	Loss: 2.0548	LR: 0.100000
Training Epoch: 3 [48320/49812]	Loss: 1.7865	LR: 0.100000
Training Epoch: 3 [48384/49812]	Loss: 2.0135	LR: 0.100000
Training Epoch: 3 [48448/49812]	Loss: 1.5814	LR: 0.100000
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Training Epoch: 3 [49536/49812]	Loss: 2.1511	LR: 0.100000
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Training Epoch: 3 [49664/49812]	Loss: 1.5699	LR: 0.100000
Training Epoch: 3 [49728/49812]	Loss: 1.9694	LR: 0.100000
Training Epoch: 3 [49792/49812]	Loss: 2.0107	LR: 0.100000
Training Epoch: 3 [49812/49812]	Loss: 2.4820	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9719, Train Accuracy: 0.3834
Epoch 3 training time consumed: 265.65s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0301, Accuracy: 0.3995, Time consumed:17.03s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-3-best.pth
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Training Epoch: 4 [19008/49812]	Loss: 2.0336	LR: 0.100000
Training Epoch: 4 [19072/49812]	Loss: 1.6672	LR: 0.100000
Training Epoch: 4 [19136/49812]	Loss: 2.0492	LR: 0.100000
Training Epoch: 4 [19200/49812]	Loss: 1.5897	LR: 0.100000
Training Epoch: 4 [19264/49812]	Loss: 1.7837	LR: 0.100000
Training Epoch: 4 [19328/49812]	Loss: 1.9446	LR: 0.100000
Training Epoch: 4 [19392/49812]	Loss: 1.7534	LR: 0.100000
Training Epoch: 4 [19456/49812]	Loss: 1.9017	LR: 0.100000
Training Epoch: 4 [19520/49812]	Loss: 1.7539	LR: 0.100000
Training Epoch: 4 [19584/49812]	Loss: 1.7614	LR: 0.100000
Training Epoch: 4 [19648/49812]	Loss: 1.6462	LR: 0.100000
Training Epoch: 4 [19712/49812]	Loss: 1.8305	LR: 0.100000
Training Epoch: 4 [19776/49812]	Loss: 1.8579	LR: 0.100000
Training Epoch: 4 [19840/49812]	Loss: 1.9121	LR: 0.100000
Training Epoch: 4 [19904/49812]	Loss: 1.6889	LR: 0.100000
Training Epoch: 4 [19968/49812]	Loss: 1.6749	LR: 0.100000
Training Epoch: 4 [20032/49812]	Loss: 1.9557	LR: 0.100000
Training Epoch: 4 [20096/49812]	Loss: 1.9250	LR: 0.100000
Training Epoch: 4 [20160/49812]	Loss: 1.8107	LR: 0.100000
Training Epoch: 4 [20224/49812]	Loss: 1.9038	LR: 0.100000
Training Epoch: 4 [20288/49812]	Loss: 1.9205	LR: 0.100000
Training Epoch: 4 [20352/49812]	Loss: 1.9748	LR: 0.100000
Training Epoch: 4 [20416/49812]	Loss: 1.7828	LR: 0.100000
Training Epoch: 4 [20480/49812]	Loss: 1.7659	LR: 0.100000
Training Epoch: 4 [20544/49812]	Loss: 2.1630	LR: 0.100000
Training Epoch: 4 [20608/49812]	Loss: 2.1106	LR: 0.100000
Training Epoch: 4 [20672/49812]	Loss: 1.8980	LR: 0.100000
Training Epoch: 4 [20736/49812]	Loss: 1.6798	LR: 0.100000
Training Epoch: 4 [20800/49812]	Loss: 1.6065	LR: 0.100000
Training Epoch: 4 [20864/49812]	Loss: 1.6517	LR: 0.100000
Training Epoch: 4 [20928/49812]	Loss: 1.6560	LR: 0.100000
Training Epoch: 4 [20992/49812]	Loss: 1.9160	LR: 0.100000
Training Epoch: 4 [21056/49812]	Loss: 1.7238	LR: 0.100000
Training Epoch: 4 [21120/49812]	Loss: 1.5410	LR: 0.100000
Training Epoch: 4 [21184/49812]	Loss: 1.7874	LR: 0.100000
Training Epoch: 4 [21248/49812]	Loss: 1.8786	LR: 0.100000
Training Epoch: 4 [21312/49812]	Loss: 1.9229	LR: 0.100000
Training Epoch: 4 [21376/49812]	Loss: 1.6829	LR: 0.100000
Training Epoch: 4 [21440/49812]	Loss: 1.6799	LR: 0.100000
Training Epoch: 4 [21504/49812]	Loss: 2.0334	LR: 0.100000
Training Epoch: 4 [21568/49812]	Loss: 1.9553	LR: 0.100000
Training Epoch: 4 [21632/49812]	Loss: 1.6560	LR: 0.100000
Training Epoch: 4 [21696/49812]	Loss: 2.1011	LR: 0.100000
Training Epoch: 4 [21760/49812]	Loss: 1.8940	LR: 0.100000
Training Epoch: 4 [21824/49812]	Loss: 1.8340	LR: 0.100000
Training Epoch: 4 [21888/49812]	Loss: 1.5896	LR: 0.100000
Training Epoch: 4 [21952/49812]	Loss: 1.6198	LR: 0.100000
Training Epoch: 4 [22016/49812]	Loss: 1.8032	LR: 0.100000
Training Epoch: 4 [22080/49812]	Loss: 1.9477	LR: 0.100000
Training Epoch: 4 [22144/49812]	Loss: 2.1323	LR: 0.100000
Training Epoch: 4 [22208/49812]	Loss: 1.9928	LR: 0.100000
Training Epoch: 4 [22272/49812]	Loss: 1.8322	LR: 0.100000
Training Epoch: 4 [22336/49812]	Loss: 1.9444	LR: 0.100000
Training Epoch: 4 [22400/49812]	Loss: 1.8439	LR: 0.100000
Training Epoch: 4 [22464/49812]	Loss: 1.6712	LR: 0.100000
Training Epoch: 4 [22528/49812]	Loss: 1.6214	LR: 0.100000
Training Epoch: 4 [22592/49812]	Loss: 1.7012	LR: 0.100000
Training Epoch: 4 [22656/49812]	Loss: 1.8101	LR: 0.100000
Training Epoch: 4 [22720/49812]	Loss: 1.9641	LR: 0.100000
Training Epoch: 4 [22784/49812]	Loss: 1.5553	LR: 0.100000
Training Epoch: 4 [22848/49812]	Loss: 1.5740	LR: 0.100000
Training Epoch: 4 [22912/49812]	Loss: 1.9106	LR: 0.100000
Training Epoch: 4 [22976/49812]	Loss: 1.6932	LR: 0.100000
Training Epoch: 4 [23040/49812]	Loss: 1.8103	LR: 0.100000
Training Epoch: 4 [23104/49812]	Loss: 1.8838	LR: 0.100000
Training Epoch: 4 [23168/49812]	Loss: 1.5241	LR: 0.100000
Training Epoch: 4 [23232/49812]	Loss: 1.8160	LR: 0.100000
Training Epoch: 4 [23296/49812]	Loss: 1.7466	LR: 0.100000
Training Epoch: 4 [23360/49812]	Loss: 1.6033	LR: 0.100000
Training Epoch: 4 [23424/49812]	Loss: 1.4873	LR: 0.100000
Training Epoch: 4 [23488/49812]	Loss: 1.9211	LR: 0.100000
Training Epoch: 4 [23552/49812]	Loss: 1.7109	LR: 0.100000
Training Epoch: 4 [23616/49812]	Loss: 1.9048	LR: 0.100000
Training Epoch: 4 [23680/49812]	Loss: 1.8315	LR: 0.100000
Training Epoch: 4 [23744/49812]	Loss: 1.7693	LR: 0.100000
Training Epoch: 4 [23808/49812]	Loss: 1.5718	LR: 0.100000
Training Epoch: 4 [23872/49812]	Loss: 1.9262	LR: 0.100000
Training Epoch: 4 [23936/49812]	Loss: 1.8370	LR: 0.100000
Training Epoch: 4 [24000/49812]	Loss: 1.9034	LR: 0.100000
Training Epoch: 4 [24064/49812]	Loss: 2.1053	LR: 0.100000
Training Epoch: 4 [24128/49812]	Loss: 1.6461	LR: 0.100000
Training Epoch: 4 [24192/49812]	Loss: 1.9996	LR: 0.100000
Training Epoch: 4 [24256/49812]	Loss: 1.5949	LR: 0.100000
Training Epoch: 4 [24320/49812]	Loss: 1.7019	LR: 0.100000
Training Epoch: 4 [24384/49812]	Loss: 1.8794	LR: 0.100000
Training Epoch: 4 [24448/49812]	Loss: 1.5916	LR: 0.100000
Training Epoch: 4 [24512/49812]	Loss: 1.6397	LR: 0.100000
Training Epoch: 4 [24576/49812]	Loss: 1.4280	LR: 0.100000
Training Epoch: 4 [24640/49812]	Loss: 1.9285	LR: 0.100000
Training Epoch: 4 [24704/49812]	Loss: 1.7084	LR: 0.100000
Training Epoch: 4 [24768/49812]	Loss: 1.8711	LR: 0.100000
Training Epoch: 4 [24832/49812]	Loss: 1.5489	LR: 0.100000
Training Epoch: 4 [24896/49812]	Loss: 1.8129	LR: 0.100000
Training Epoch: 4 [24960/49812]	Loss: 1.7799	LR: 0.100000
Training Epoch: 4 [25024/49812]	Loss: 1.8820	LR: 0.100000
Training Epoch: 4 [25088/49812]	Loss: 1.4982	LR: 0.100000
Training Epoch: 4 [25152/49812]	Loss: 1.6298	LR: 0.100000
Training Epoch: 4 [25216/49812]	Loss: 2.0560	LR: 0.100000
Training Epoch: 4 [25280/49812]	Loss: 1.6588	LR: 0.100000
Training Epoch: 4 [25344/49812]	Loss: 1.7566	LR: 0.100000
Training Epoch: 4 [25408/49812]	Loss: 1.9545	LR: 0.100000
Training Epoch: 4 [25472/49812]	Loss: 1.6866	LR: 0.100000
Training Epoch: 4 [25536/49812]	Loss: 1.5839	LR: 0.100000
Training Epoch: 4 [25600/49812]	Loss: 1.6514	LR: 0.100000
Training Epoch: 4 [25664/49812]	Loss: 1.9614	LR: 0.100000
Training Epoch: 4 [25728/49812]	Loss: 1.7071	LR: 0.100000
Training Epoch: 4 [25792/49812]	Loss: 1.7598	LR: 0.100000
Training Epoch: 4 [25856/49812]	Loss: 1.5554	LR: 0.100000
Training Epoch: 4 [25920/49812]	Loss: 1.7227	LR: 0.100000
Training Epoch: 4 [25984/49812]	Loss: 1.7445	LR: 0.100000
Training Epoch: 4 [26048/49812]	Loss: 1.8065	LR: 0.100000
Training Epoch: 4 [26112/49812]	Loss: 1.8406	LR: 0.100000
Training Epoch: 4 [26176/49812]	Loss: 1.9328	LR: 0.100000
Training Epoch: 4 [26240/49812]	Loss: 1.5939	LR: 0.100000
Training Epoch: 4 [26304/49812]	Loss: 1.7679	LR: 0.100000
Training Epoch: 4 [26368/49812]	Loss: 1.8955	LR: 0.100000
Training Epoch: 4 [26432/49812]	Loss: 1.8999	LR: 0.100000
Training Epoch: 4 [26496/49812]	Loss: 1.8697	LR: 0.100000
Training Epoch: 4 [26560/49812]	Loss: 1.9276	LR: 0.100000
Training Epoch: 4 [26624/49812]	Loss: 1.5607	LR: 0.100000
Training Epoch: 4 [26688/49812]	Loss: 1.9381	LR: 0.100000
Training Epoch: 4 [26752/49812]	Loss: 1.9289	LR: 0.100000
Training Epoch: 4 [26816/49812]	Loss: 1.6120	LR: 0.100000
Training Epoch: 4 [26880/49812]	Loss: 2.0640	LR: 0.100000
Training Epoch: 4 [26944/49812]	Loss: 1.9425	LR: 0.100000
Training Epoch: 4 [27008/49812]	Loss: 1.7433	LR: 0.100000
Training Epoch: 4 [27072/49812]	Loss: 1.8413	LR: 0.100000
Training Epoch: 4 [27136/49812]	Loss: 1.6046	LR: 0.100000
Training Epoch: 4 [27200/49812]	Loss: 1.5800	LR: 0.100000
Training Epoch: 4 [27264/49812]	Loss: 1.6554	LR: 0.100000
Training Epoch: 4 [27328/49812]	Loss: 1.5895	LR: 0.100000
Training Epoch: 4 [27392/49812]	Loss: 1.6185	LR: 0.100000
Training Epoch: 4 [27456/49812]	Loss: 1.7276	LR: 0.100000
Training Epoch: 4 [27520/49812]	Loss: 1.8474	LR: 0.100000
Training Epoch: 4 [27584/49812]	Loss: 1.8771	LR: 0.100000
Training Epoch: 4 [27648/49812]	Loss: 1.7065	LR: 0.100000
Training Epoch: 4 [27712/49812]	Loss: 1.9229	LR: 0.100000
Training Epoch: 4 [27776/49812]	Loss: 1.8091	LR: 0.100000
Training Epoch: 4 [27840/49812]	Loss: 1.8048	LR: 0.100000
Training Epoch: 4 [27904/49812]	Loss: 1.9228	LR: 0.100000
Training Epoch: 4 [27968/49812]	Loss: 1.8262	LR: 0.100000
Training Epoch: 4 [28032/49812]	Loss: 1.9796	LR: 0.100000
Training Epoch: 4 [28096/49812]	Loss: 1.6152	LR: 0.100000
Training Epoch: 4 [28160/49812]	Loss: 1.7784	LR: 0.100000
Training Epoch: 4 [28224/49812]	Loss: 2.0282	LR: 0.100000
Training Epoch: 4 [28288/49812]	Loss: 1.8947	LR: 0.100000
Training Epoch: 4 [28352/49812]	Loss: 1.8604	LR: 0.100000
Training Epoch: 4 [28416/49812]	Loss: 2.2368	LR: 0.100000
Training Epoch: 4 [28480/49812]	Loss: 1.7530	LR: 0.100000
Training Epoch: 4 [28544/49812]	Loss: 1.6768	LR: 0.100000
Training Epoch: 4 [28608/49812]	Loss: 1.9692	LR: 0.100000
Training Epoch: 4 [28672/49812]	Loss: 2.1228	LR: 0.100000
Training Epoch: 4 [28736/49812]	Loss: 1.7229	LR: 0.100000
Training Epoch: 4 [28800/49812]	Loss: 2.0357	LR: 0.100000
Training Epoch: 4 [28864/49812]	Loss: 1.9221	LR: 0.100000
Training Epoch: 4 [28928/49812]	Loss: 1.6774	LR: 0.100000
Training Epoch: 4 [28992/49812]	Loss: 2.0715	LR: 0.100000
Training Epoch: 4 [29056/49812]	Loss: 1.8164	LR: 0.100000
Training Epoch: 4 [29120/49812]	Loss: 1.7776	LR: 0.100000
Training Epoch: 4 [29184/49812]	Loss: 1.8727	LR: 0.100000
Training Epoch: 4 [29248/49812]	Loss: 1.8950	LR: 0.100000
Training Epoch: 4 [29312/49812]	Loss: 1.7240	LR: 0.100000
Training Epoch: 4 [29376/49812]	Loss: 1.9478	LR: 0.100000
Training Epoch: 4 [29440/49812]	Loss: 1.8699	LR: 0.100000
Training Epoch: 4 [29504/49812]	Loss: 1.6333	LR: 0.100000
Training Epoch: 4 [29568/49812]	Loss: 1.9155	LR: 0.100000
Training Epoch: 4 [29632/49812]	Loss: 1.8298	LR: 0.100000
Training Epoch: 4 [29696/49812]	Loss: 1.7402	LR: 0.100000
Training Epoch: 4 [29760/49812]	Loss: 1.6731	LR: 0.100000
Training Epoch: 4 [29824/49812]	Loss: 1.9073	LR: 0.100000
Training Epoch: 4 [29888/49812]	Loss: 1.7606	LR: 0.100000
Training Epoch: 4 [29952/49812]	Loss: 1.6620	LR: 0.100000
Training Epoch: 4 [30016/49812]	Loss: 1.7840	LR: 0.100000
Training Epoch: 4 [30080/49812]	Loss: 1.8305	LR: 0.100000
Training Epoch: 4 [30144/49812]	Loss: 1.9752	LR: 0.100000
Training Epoch: 4 [30208/49812]	Loss: 1.8811	LR: 0.100000
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Training Epoch: 4 [30336/49812]	Loss: 1.9506	LR: 0.100000
Training Epoch: 4 [30400/49812]	Loss: 1.6384	LR: 0.100000
Training Epoch: 4 [30464/49812]	Loss: 1.8443	LR: 0.100000
Training Epoch: 4 [30528/49812]	Loss: 1.6284	LR: 0.100000
Training Epoch: 4 [30592/49812]	Loss: 1.7996	LR: 0.100000
Training Epoch: 4 [30656/49812]	Loss: 1.7007	LR: 0.100000
Training Epoch: 4 [30720/49812]	Loss: 1.6263	LR: 0.100000
Training Epoch: 4 [30784/49812]	Loss: 1.7842	LR: 0.100000
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Training Epoch: 4 [30912/49812]	Loss: 1.7680	LR: 0.100000
Training Epoch: 4 [30976/49812]	Loss: 1.6148	LR: 0.100000
Training Epoch: 4 [31040/49812]	Loss: 1.6616	LR: 0.100000
Training Epoch: 4 [31104/49812]	Loss: 1.8099	LR: 0.100000
Training Epoch: 4 [31168/49812]	Loss: 1.7930	LR: 0.100000
Training Epoch: 4 [31232/49812]	Loss: 1.6470	LR: 0.100000
Training Epoch: 4 [31296/49812]	Loss: 2.2702	LR: 0.100000
Training Epoch: 4 [31360/49812]	Loss: 1.7205	LR: 0.100000
Training Epoch: 4 [31424/49812]	Loss: 1.7248	LR: 0.100000
Training Epoch: 4 [31488/49812]	Loss: 1.8877	LR: 0.100000
Training Epoch: 4 [31552/49812]	Loss: 1.6885	LR: 0.100000
Training Epoch: 4 [31616/49812]	Loss: 1.5119	LR: 0.100000
Training Epoch: 4 [31680/49812]	Loss: 2.0295	LR: 0.100000
Training Epoch: 4 [31744/49812]	Loss: 1.8478	LR: 0.100000
Training Epoch: 4 [31808/49812]	Loss: 2.0442	LR: 0.100000
Training Epoch: 4 [31872/49812]	Loss: 1.8419	LR: 0.100000
Training Epoch: 4 [31936/49812]	Loss: 2.0328	LR: 0.100000
Training Epoch: 4 [32000/49812]	Loss: 1.7160	LR: 0.100000
Training Epoch: 4 [32064/49812]	Loss: 1.8368	LR: 0.100000
Training Epoch: 4 [32128/49812]	Loss: 1.8351	LR: 0.100000
Training Epoch: 4 [32192/49812]	Loss: 1.6054	LR: 0.100000
Training Epoch: 4 [32256/49812]	Loss: 1.6793	LR: 0.100000
Training Epoch: 4 [32320/49812]	Loss: 1.9483	LR: 0.100000
Training Epoch: 4 [32384/49812]	Loss: 1.9082	LR: 0.100000
Training Epoch: 4 [32448/49812]	Loss: 1.5823	LR: 0.100000
Training Epoch: 4 [32512/49812]	Loss: 1.4892	LR: 0.100000
Training Epoch: 4 [32576/49812]	Loss: 1.9155	LR: 0.100000
Training Epoch: 4 [32640/49812]	Loss: 1.8727	LR: 0.100000
Training Epoch: 4 [32704/49812]	Loss: 1.8334	LR: 0.100000
Training Epoch: 4 [32768/49812]	Loss: 2.1025	LR: 0.100000
Training Epoch: 4 [32832/49812]	Loss: 1.8285	LR: 0.100000
Training Epoch: 4 [32896/49812]	Loss: 1.6970	LR: 0.100000
Training Epoch: 4 [32960/49812]	Loss: 1.6343	LR: 0.100000
Training Epoch: 4 [33024/49812]	Loss: 2.0822	LR: 0.100000
Training Epoch: 4 [33088/49812]	Loss: 2.0720	LR: 0.100000
Training Epoch: 4 [33152/49812]	Loss: 1.7076	LR: 0.100000
Training Epoch: 4 [33216/49812]	Loss: 1.6748	LR: 0.100000
Training Epoch: 4 [33280/49812]	Loss: 1.5226	LR: 0.100000
Training Epoch: 4 [33344/49812]	Loss: 2.0201	LR: 0.100000
Training Epoch: 4 [33408/49812]	Loss: 1.9247	LR: 0.100000
Training Epoch: 4 [33472/49812]	Loss: 1.9183	LR: 0.100000
Training Epoch: 4 [33536/49812]	Loss: 1.9492	LR: 0.100000
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Training Epoch: 4 [33664/49812]	Loss: 1.6630	LR: 0.100000
Training Epoch: 4 [33728/49812]	Loss: 1.9785	LR: 0.100000
Training Epoch: 4 [33792/49812]	Loss: 1.6521	LR: 0.100000
Training Epoch: 4 [33856/49812]	Loss: 2.0421	LR: 0.100000
Training Epoch: 4 [33920/49812]	Loss: 1.6223	LR: 0.100000
Training Epoch: 4 [33984/49812]	Loss: 2.0445	LR: 0.100000
Training Epoch: 4 [34048/49812]	Loss: 1.6909	LR: 0.100000
Training Epoch: 4 [34112/49812]	Loss: 1.9344	LR: 0.100000
Training Epoch: 4 [34176/49812]	Loss: 1.6083	LR: 0.100000
Training Epoch: 4 [34240/49812]	Loss: 1.7696	LR: 0.100000
Training Epoch: 4 [34304/49812]	Loss: 1.7426	LR: 0.100000
Training Epoch: 4 [34368/49812]	Loss: 1.7993	LR: 0.100000
Training Epoch: 4 [34432/49812]	Loss: 1.7765	LR: 0.100000
Training Epoch: 4 [34496/49812]	Loss: 1.9685	LR: 0.100000
Training Epoch: 4 [34560/49812]	Loss: 2.0078	LR: 0.100000
Training Epoch: 4 [34624/49812]	Loss: 2.2008	LR: 0.100000
Training Epoch: 4 [34688/49812]	Loss: 1.6842	LR: 0.100000
Training Epoch: 4 [34752/49812]	Loss: 1.4892	LR: 0.100000
Training Epoch: 4 [34816/49812]	Loss: 1.8390	LR: 0.100000
Training Epoch: 4 [34880/49812]	Loss: 1.4597	LR: 0.100000
Training Epoch: 4 [34944/49812]	Loss: 1.7785	LR: 0.100000
Training Epoch: 4 [35008/49812]	Loss: 1.9819	LR: 0.100000
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Training Epoch: 4 [35136/49812]	Loss: 1.6645	LR: 0.100000
Training Epoch: 4 [35200/49812]	Loss: 1.9023	LR: 0.100000
Training Epoch: 4 [35264/49812]	Loss: 1.7501	LR: 0.100000
Training Epoch: 4 [35328/49812]	Loss: 1.9550	LR: 0.100000
Training Epoch: 4 [35392/49812]	Loss: 1.5718	LR: 0.100000
Training Epoch: 4 [35456/49812]	Loss: 1.7757	LR: 0.100000
Training Epoch: 4 [35520/49812]	Loss: 1.5697	LR: 0.100000
Training Epoch: 4 [35584/49812]	Loss: 1.7185	LR: 0.100000
Training Epoch: 4 [35648/49812]	Loss: 1.8717	LR: 0.100000
Training Epoch: 4 [35712/49812]	Loss: 1.5674	LR: 0.100000
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Training Epoch: 4 [35840/49812]	Loss: 1.6598	LR: 0.100000
Training Epoch: 4 [35904/49812]	Loss: 1.5253	LR: 0.100000
Training Epoch: 4 [35968/49812]	Loss: 1.8901	LR: 0.100000
Training Epoch: 4 [36032/49812]	Loss: 1.7682	LR: 0.100000
Training Epoch: 4 [36096/49812]	Loss: 1.7556	LR: 0.100000
Training Epoch: 4 [36160/49812]	Loss: 1.7508	LR: 0.100000
Training Epoch: 4 [36224/49812]	Loss: 1.6317	LR: 0.100000
Training Epoch: 4 [36288/49812]	Loss: 1.6340	LR: 0.100000
Training Epoch: 4 [36352/49812]	Loss: 1.6422	LR: 0.100000
Training Epoch: 4 [36416/49812]	Loss: 2.0046	LR: 0.100000
Training Epoch: 4 [36480/49812]	Loss: 1.8040	LR: 0.100000
Training Epoch: 4 [36544/49812]	Loss: 1.7606	LR: 0.100000
Training Epoch: 4 [36608/49812]	Loss: 1.6522	LR: 0.100000
Training Epoch: 4 [36672/49812]	Loss: 1.9222	LR: 0.100000
Training Epoch: 4 [36736/49812]	Loss: 1.8760	LR: 0.100000
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Training Epoch: 4 [36864/49812]	Loss: 1.6323	LR: 0.100000
Training Epoch: 4 [36928/49812]	Loss: 1.7748	LR: 0.100000
Training Epoch: 4 [36992/49812]	Loss: 1.5765	LR: 0.100000
Training Epoch: 4 [37056/49812]	Loss: 1.3375	LR: 0.100000
Training Epoch: 4 [37120/49812]	Loss: 1.8962	LR: 0.100000
Training Epoch: 4 [37184/49812]	Loss: 2.2101	LR: 0.100000
Training Epoch: 4 [37248/49812]	Loss: 1.5622	LR: 0.100000
Training Epoch: 4 [37312/49812]	Loss: 1.5974	LR: 0.100000
Training Epoch: 4 [37376/49812]	Loss: 1.8416	LR: 0.100000
Training Epoch: 4 [37440/49812]	Loss: 1.9100	LR: 0.100000
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Training Epoch: 4 [37568/49812]	Loss: 1.9003	LR: 0.100000
Training Epoch: 4 [37632/49812]	Loss: 1.5257	LR: 0.100000
Training Epoch: 4 [37696/49812]	Loss: 1.7693	LR: 0.100000
Training Epoch: 4 [37760/49812]	Loss: 1.8404	LR: 0.100000
Training Epoch: 4 [37824/49812]	Loss: 1.8592	LR: 0.100000
Training Epoch: 4 [37888/49812]	Loss: 1.6592	LR: 0.100000
Training Epoch: 4 [37952/49812]	Loss: 1.5887	LR: 0.100000
Training Epoch: 4 [38016/49812]	Loss: 2.0089	LR: 0.100000
Training Epoch: 4 [38080/49812]	Loss: 1.7095	LR: 0.100000
Training Epoch: 4 [38144/49812]	Loss: 1.8278	LR: 0.100000
Training Epoch: 4 [38208/49812]	Loss: 1.7544	LR: 0.100000
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Training Epoch: 4 [41984/49812]	Loss: 2.1173	LR: 0.100000
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Training Epoch: 4 [42560/49812]	Loss: 2.0333	LR: 0.100000
Training Epoch: 4 [42624/49812]	Loss: 1.7903	LR: 0.100000
Training Epoch: 4 [42688/49812]	Loss: 1.9322	LR: 0.100000
Training Epoch: 4 [42752/49812]	Loss: 1.6103	LR: 0.100000
Training Epoch: 4 [42816/49812]	Loss: 1.6593	LR: 0.100000
Training Epoch: 4 [42880/49812]	Loss: 1.8245	LR: 0.100000
Training Epoch: 4 [42944/49812]	Loss: 1.5314	LR: 0.100000
Training Epoch: 4 [43008/49812]	Loss: 1.7903	LR: 0.100000
Training Epoch: 4 [43072/49812]	Loss: 1.4901	LR: 0.100000
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Training Epoch: 4 [43200/49812]	Loss: 1.4514	LR: 0.100000
Training Epoch: 4 [43264/49812]	Loss: 1.7799	LR: 0.100000
Training Epoch: 4 [43328/49812]	Loss: 2.0409	LR: 0.100000
Training Epoch: 4 [43392/49812]	Loss: 1.6509	LR: 0.100000
Training Epoch: 4 [43456/49812]	Loss: 1.6874	LR: 0.100000
Training Epoch: 4 [43520/49812]	Loss: 1.5597	LR: 0.100000
Training Epoch: 4 [43584/49812]	Loss: 1.6648	LR: 0.100000
Training Epoch: 4 [43648/49812]	Loss: 1.9050	LR: 0.100000
Training Epoch: 4 [43712/49812]	Loss: 1.6796	LR: 0.100000
Training Epoch: 4 [43776/49812]	Loss: 1.5766	LR: 0.100000
Training Epoch: 4 [43840/49812]	Loss: 1.6422	LR: 0.100000
Training Epoch: 4 [43904/49812]	Loss: 1.8557	LR: 0.100000
Training Epoch: 4 [43968/49812]	Loss: 1.6481	LR: 0.100000
Training Epoch: 4 [44032/49812]	Loss: 1.5049	LR: 0.100000
Training Epoch: 4 [44096/49812]	Loss: 2.2126	LR: 0.100000
Training Epoch: 4 [44160/49812]	Loss: 1.7002	LR: 0.100000
Training Epoch: 4 [44224/49812]	Loss: 1.6481	LR: 0.100000
Training Epoch: 4 [44288/49812]	Loss: 1.6653	LR: 0.100000
Training Epoch: 4 [44352/49812]	Loss: 1.8939	LR: 0.100000
Training Epoch: 4 [44416/49812]	Loss: 1.6666	LR: 0.100000
Training Epoch: 4 [44480/49812]	Loss: 1.8501	LR: 0.100000
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Training Epoch: 4 [44608/49812]	Loss: 1.7543	LR: 0.100000
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Training Epoch: 4 [44736/49812]	Loss: 1.9606	LR: 0.100000
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Training Epoch: 4 [44864/49812]	Loss: 1.7851	LR: 0.100000
Training Epoch: 4 [44928/49812]	Loss: 1.8082	LR: 0.100000
Training Epoch: 4 [44992/49812]	Loss: 1.9796	LR: 0.100000
Training Epoch: 4 [45056/49812]	Loss: 1.7815	LR: 0.100000
Training Epoch: 4 [45120/49812]	Loss: 2.0065	LR: 0.100000
Training Epoch: 4 [45184/49812]	Loss: 1.5997	LR: 0.100000
Training Epoch: 4 [45248/49812]	Loss: 1.6688	LR: 0.100000
Training Epoch: 4 [45312/49812]	Loss: 2.2130	LR: 0.100000
Training Epoch: 4 [45376/49812]	Loss: 1.9487	LR: 0.100000
Training Epoch: 4 [45440/49812]	Loss: 1.7140	LR: 0.100000
Training Epoch: 4 [45504/49812]	Loss: 1.7767	LR: 0.100000
Training Epoch: 4 [45568/49812]	Loss: 1.8168	LR: 0.100000
Training Epoch: 4 [45632/49812]	Loss: 1.7023	LR: 0.100000
Training Epoch: 4 [45696/49812]	Loss: 1.7571	LR: 0.100000
Training Epoch: 4 [45760/49812]	Loss: 1.6426	LR: 0.100000
Training Epoch: 4 [45824/49812]	Loss: 1.8057	LR: 0.100000
Training Epoch: 4 [45888/49812]	Loss: 1.5857	LR: 0.100000
Training Epoch: 4 [45952/49812]	Loss: 1.5923	LR: 0.100000
Training Epoch: 4 [46016/49812]	Loss: 1.9925	LR: 0.100000
Training Epoch: 4 [46080/49812]	Loss: 1.7576	LR: 0.100000
Training Epoch: 4 [46144/49812]	Loss: 1.6433	LR: 0.100000
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Training Epoch: 4 [46528/49812]	Loss: 1.6679	LR: 0.100000
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Training Epoch: 4 [46656/49812]	Loss: 1.4899	LR: 0.100000
Training Epoch: 4 [46720/49812]	Loss: 1.8590	LR: 0.100000
Training Epoch: 4 [46784/49812]	Loss: 1.8209	LR: 0.100000
Training Epoch: 4 [46848/49812]	Loss: 1.6430	LR: 0.100000
Training Epoch: 4 [46912/49812]	Loss: 1.6015	LR: 0.100000
Training Epoch: 4 [46976/49812]	Loss: 1.8153	LR: 0.100000
Training Epoch: 4 [47040/49812]	Loss: 1.7744	LR: 0.100000
Training Epoch: 4 [47104/49812]	Loss: 1.7940	LR: 0.100000
Training Epoch: 4 [47168/49812]	Loss: 1.6967	LR: 0.100000
Training Epoch: 4 [47232/49812]	Loss: 1.7103	LR: 0.100000
Training Epoch: 4 [47296/49812]	Loss: 1.6817	LR: 0.100000
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Training Epoch: 4 [47424/49812]	Loss: 1.5795	LR: 0.100000
Training Epoch: 4 [47488/49812]	Loss: 1.6660	LR: 0.100000
Training Epoch: 4 [47552/49812]	Loss: 2.0086	LR: 0.100000
Training Epoch: 4 [47616/49812]	Loss: 1.6301	LR: 0.100000
Training Epoch: 4 [47680/49812]	Loss: 1.9150	LR: 0.100000
Training Epoch: 4 [47744/49812]	Loss: 1.6440	LR: 0.100000
Training Epoch: 4 [47808/49812]	Loss: 1.8217	LR: 0.100000
Training Epoch: 4 [47872/49812]	Loss: 1.7192	LR: 0.100000
Training Epoch: 4 [47936/49812]	Loss: 1.8840	LR: 0.100000
Training Epoch: 4 [48000/49812]	Loss: 1.5277	LR: 0.100000
Training Epoch: 4 [48064/49812]	Loss: 1.5695	LR: 0.100000
Training Epoch: 4 [48128/49812]	Loss: 1.4077	LR: 0.100000
Training Epoch: 4 [48192/49812]	Loss: 1.9507	LR: 0.100000
Training Epoch: 4 [48256/49812]	Loss: 1.6114	LR: 0.100000
Training Epoch: 4 [48320/49812]	Loss: 1.5904	LR: 0.100000
Training Epoch: 4 [48384/49812]	Loss: 1.7993	LR: 0.100000
Training Epoch: 4 [48448/49812]	Loss: 1.7204	LR: 0.100000
Training Epoch: 4 [48512/49812]	Loss: 1.6896	LR: 0.100000
Training Epoch: 4 [48576/49812]	Loss: 2.0404	LR: 0.100000
Training Epoch: 4 [48640/49812]	Loss: 1.6808	LR: 0.100000
Training Epoch: 4 [48704/49812]	Loss: 1.6406	LR: 0.100000
Training Epoch: 4 [48768/49812]	Loss: 1.8735	LR: 0.100000
Training Epoch: 4 [48832/49812]	Loss: 1.5925	LR: 0.100000
Training Epoch: 4 [48896/49812]	Loss: 1.5784	LR: 0.100000
Training Epoch: 4 [48960/49812]	Loss: 1.5434	LR: 0.100000
Training Epoch: 4 [49024/49812]	Loss: 2.0165	LR: 0.100000
Training Epoch: 4 [49088/49812]	Loss: 1.6605	LR: 0.100000
Training Epoch: 4 [49152/49812]	Loss: 1.6250	LR: 0.100000
Training Epoch: 4 [49216/49812]	Loss: 1.7990	LR: 0.100000
Training Epoch: 4 [49280/49812]	Loss: 1.5969	LR: 0.100000
Training Epoch: 4 [49344/49812]	Loss: 1.5636	LR: 0.100000
Training Epoch: 4 [49408/49812]	Loss: 1.7185	LR: 0.100000
Training Epoch: 4 [49472/49812]	Loss: 1.7679	LR: 0.100000
Training Epoch: 4 [49536/49812]	Loss: 1.8116	LR: 0.100000
Training Epoch: 4 [49600/49812]	Loss: 1.7231	LR: 0.100000
Training Epoch: 4 [49664/49812]	Loss: 1.7404	LR: 0.100000
Training Epoch: 4 [49728/49812]	Loss: 1.5676	LR: 0.100000
Training Epoch: 4 [49792/49812]	Loss: 1.4205	LR: 0.100000
Training Epoch: 4 [49812/49812]	Loss: 1.8268	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7964, Train Accuracy: 0.4337
Epoch 4 training time consumed: 264.63s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0327, Accuracy: 0.3979, Time consumed:16.97s
Training Epoch: 5 [64/49812]	Loss: 1.8115	LR: 0.100000
Training Epoch: 5 [128/49812]	Loss: 1.7453	LR: 0.100000
Training Epoch: 5 [192/49812]	Loss: 1.6122	LR: 0.100000
Training Epoch: 5 [256/49812]	Loss: 1.9860	LR: 0.100000
Training Epoch: 5 [320/49812]	Loss: 1.8741	LR: 0.100000
Training Epoch: 5 [384/49812]	Loss: 2.0396	LR: 0.100000
Training Epoch: 5 [448/49812]	Loss: 1.6032	LR: 0.100000
Training Epoch: 5 [512/49812]	Loss: 1.6737	LR: 0.100000
Training Epoch: 5 [576/49812]	Loss: 1.6046	LR: 0.100000
Training Epoch: 5 [640/49812]	Loss: 1.7392	LR: 0.100000
Training Epoch: 5 [704/49812]	Loss: 1.8022	LR: 0.100000
Training Epoch: 5 [768/49812]	Loss: 1.6340	LR: 0.100000
Training Epoch: 5 [832/49812]	Loss: 1.6765	LR: 0.100000
Training Epoch: 5 [896/49812]	Loss: 1.7856	LR: 0.100000
Training Epoch: 5 [960/49812]	Loss: 1.5337	LR: 0.100000
Training Epoch: 5 [1024/49812]	Loss: 1.5846	LR: 0.100000
Training Epoch: 5 [1088/49812]	Loss: 1.7298	LR: 0.100000
Training Epoch: 5 [1152/49812]	Loss: 1.6504	LR: 0.100000
Training Epoch: 5 [1216/49812]	Loss: 1.8540	LR: 0.100000
Training Epoch: 5 [1280/49812]	Loss: 1.6097	LR: 0.100000
Training Epoch: 5 [1344/49812]	Loss: 1.8433	LR: 0.100000
Training Epoch: 5 [1408/49812]	Loss: 1.7935	LR: 0.100000
Training Epoch: 5 [1472/49812]	Loss: 1.7161	LR: 0.100000
Training Epoch: 5 [1536/49812]	Loss: 1.4760	LR: 0.100000
Training Epoch: 5 [1600/49812]	Loss: 1.8587	LR: 0.100000
Training Epoch: 5 [1664/49812]	Loss: 1.8579	LR: 0.100000
Training Epoch: 5 [1728/49812]	Loss: 1.7793	LR: 0.100000
Training Epoch: 5 [1792/49812]	Loss: 1.9147	LR: 0.100000
Training Epoch: 5 [1856/49812]	Loss: 1.5490	LR: 0.100000
Training Epoch: 5 [1920/49812]	Loss: 1.6670	LR: 0.100000
Training Epoch: 5 [1984/49812]	Loss: 1.7548	LR: 0.100000
Training Epoch: 5 [2048/49812]	Loss: 1.3935	LR: 0.100000
Training Epoch: 5 [2112/49812]	Loss: 1.6626	LR: 0.100000
Training Epoch: 5 [2176/49812]	Loss: 1.5482	LR: 0.100000
Training Epoch: 5 [2240/49812]	Loss: 1.5829	LR: 0.100000
Training Epoch: 5 [2304/49812]	Loss: 1.7165	LR: 0.100000
Training Epoch: 5 [2368/49812]	Loss: 1.8177	LR: 0.100000
Training Epoch: 5 [2432/49812]	Loss: 1.7771	LR: 0.100000
Training Epoch: 5 [2496/49812]	Loss: 1.7945	LR: 0.100000
Training Epoch: 5 [2560/49812]	Loss: 1.8984	LR: 0.100000
Training Epoch: 5 [2624/49812]	Loss: 1.6871	LR: 0.100000
Training Epoch: 5 [2688/49812]	Loss: 1.9305	LR: 0.100000
Training Epoch: 5 [2752/49812]	Loss: 1.5875	LR: 0.100000
Training Epoch: 5 [2816/49812]	Loss: 1.7797	LR: 0.100000
Training Epoch: 5 [2880/49812]	Loss: 1.6224	LR: 0.100000
Training Epoch: 5 [2944/49812]	Loss: 1.6417	LR: 0.100000
Training Epoch: 5 [3008/49812]	Loss: 1.8279	LR: 0.100000
Training Epoch: 5 [3072/49812]	Loss: 1.5243	LR: 0.100000
Training Epoch: 5 [3136/49812]	Loss: 1.3375	LR: 0.100000
Training Epoch: 5 [3200/49812]	Loss: 1.6804	LR: 0.100000
Training Epoch: 5 [3264/49812]	Loss: 1.9631	LR: 0.100000
Training Epoch: 5 [3328/49812]	Loss: 1.7838	LR: 0.100000
Training Epoch: 5 [3392/49812]	Loss: 1.8801	LR: 0.100000
Training Epoch: 5 [3456/49812]	Loss: 1.7965	LR: 0.100000
Training Epoch: 5 [3520/49812]	Loss: 1.7134	LR: 0.100000
Training Epoch: 5 [3584/49812]	Loss: 1.6808	LR: 0.100000
Training Epoch: 5 [3648/49812]	Loss: 1.7034	LR: 0.100000
Training Epoch: 5 [3712/49812]	Loss: 1.7172	LR: 0.100000
Training Epoch: 5 [3776/49812]	Loss: 1.6531	LR: 0.100000
Training Epoch: 5 [3840/49812]	Loss: 1.8386	LR: 0.100000
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Training Epoch: 5 [3968/49812]	Loss: 1.3536	LR: 0.100000
Training Epoch: 5 [4032/49812]	Loss: 1.6709	LR: 0.100000
Training Epoch: 5 [4096/49812]	Loss: 1.4801	LR: 0.100000
Training Epoch: 5 [4160/49812]	Loss: 1.9143	LR: 0.100000
Training Epoch: 5 [4224/49812]	Loss: 1.6208	LR: 0.100000
Training Epoch: 5 [4288/49812]	Loss: 1.4109	LR: 0.100000
Training Epoch: 5 [4352/49812]	Loss: 1.5115	LR: 0.100000
Training Epoch: 5 [4416/49812]	Loss: 1.5272	LR: 0.100000
Training Epoch: 5 [4480/49812]	Loss: 1.5899	LR: 0.100000
Training Epoch: 5 [4544/49812]	Loss: 1.8025	LR: 0.100000
Training Epoch: 5 [4608/49812]	Loss: 1.6282	LR: 0.100000
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Training Epoch: 5 [4928/49812]	Loss: 1.9009	LR: 0.100000
Training Epoch: 5 [4992/49812]	Loss: 1.5974	LR: 0.100000
Training Epoch: 5 [5056/49812]	Loss: 1.7555	LR: 0.100000
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Training Epoch: 5 [5184/49812]	Loss: 1.6900	LR: 0.100000
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Training Epoch: 5 [5888/49812]	Loss: 1.8767	LR: 0.100000
Training Epoch: 5 [5952/49812]	Loss: 1.5713	LR: 0.100000
Training Epoch: 5 [6016/49812]	Loss: 1.8956	LR: 0.100000
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Training Epoch: 5 [6144/49812]	Loss: 1.8217	LR: 0.100000
Training Epoch: 5 [6208/49812]	Loss: 1.7172	LR: 0.100000
Training Epoch: 5 [6272/49812]	Loss: 1.7478	LR: 0.100000
Training Epoch: 5 [6336/49812]	Loss: 1.7293	LR: 0.100000
Training Epoch: 5 [6400/49812]	Loss: 1.6059	LR: 0.100000
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Training Epoch: 5 [6592/49812]	Loss: 1.8214	LR: 0.100000
Training Epoch: 5 [6656/49812]	Loss: 1.9567	LR: 0.100000
Training Epoch: 5 [6720/49812]	Loss: 2.0060	LR: 0.100000
Training Epoch: 5 [6784/49812]	Loss: 1.7844	LR: 0.100000
Training Epoch: 5 [6848/49812]	Loss: 1.6697	LR: 0.100000
Training Epoch: 5 [6912/49812]	Loss: 1.9367	LR: 0.100000
Training Epoch: 5 [6976/49812]	Loss: 1.8368	LR: 0.100000
Training Epoch: 5 [7040/49812]	Loss: 1.6436	LR: 0.100000
Training Epoch: 5 [7104/49812]	Loss: 1.4945	LR: 0.100000
Training Epoch: 5 [7168/49812]	Loss: 1.7040	LR: 0.100000
Training Epoch: 5 [7232/49812]	Loss: 1.5427	LR: 0.100000
Training Epoch: 5 [7296/49812]	Loss: 1.6261	LR: 0.100000
Training Epoch: 5 [7360/49812]	Loss: 1.8753	LR: 0.100000
Training Epoch: 5 [7424/49812]	Loss: 1.8090	LR: 0.100000
Training Epoch: 5 [7488/49812]	Loss: 1.7488	LR: 0.100000
Training Epoch: 5 [7552/49812]	Loss: 1.7454	LR: 0.100000
Training Epoch: 5 [7616/49812]	Loss: 1.4197	LR: 0.100000
Training Epoch: 5 [7680/49812]	Loss: 1.7665	LR: 0.100000
Training Epoch: 5 [7744/49812]	Loss: 1.6992	LR: 0.100000
Training Epoch: 5 [7808/49812]	Loss: 1.7222	LR: 0.100000
Training Epoch: 5 [7872/49812]	Loss: 1.6118	LR: 0.100000
Training Epoch: 5 [7936/49812]	Loss: 1.6179	LR: 0.100000
Training Epoch: 5 [8000/49812]	Loss: 1.5298	LR: 0.100000
Training Epoch: 5 [8064/49812]	Loss: 1.5331	LR: 0.100000
Training Epoch: 5 [8128/49812]	Loss: 1.6183	LR: 0.100000
Training Epoch: 5 [8192/49812]	Loss: 1.8284	LR: 0.100000
Training Epoch: 5 [8256/49812]	Loss: 1.5614	LR: 0.100000
Training Epoch: 5 [8320/49812]	Loss: 1.6172	LR: 0.100000
Training Epoch: 5 [8384/49812]	Loss: 1.4814	LR: 0.100000
Training Epoch: 5 [8448/49812]	Loss: 1.6782	LR: 0.100000
Training Epoch: 5 [8512/49812]	Loss: 1.9618	LR: 0.100000
Training Epoch: 5 [8576/49812]	Loss: 1.6352	LR: 0.100000
Training Epoch: 5 [8640/49812]	Loss: 1.6264	LR: 0.100000
Training Epoch: 5 [8704/49812]	Loss: 1.7504	LR: 0.100000
Training Epoch: 5 [8768/49812]	Loss: 1.3720	LR: 0.100000
Training Epoch: 5 [8832/49812]	Loss: 1.5869	LR: 0.100000
Training Epoch: 5 [8896/49812]	Loss: 1.7310	LR: 0.100000
Training Epoch: 5 [8960/49812]	Loss: 1.6055	LR: 0.100000
Training Epoch: 5 [9024/49812]	Loss: 1.6544	LR: 0.100000
Training Epoch: 5 [9088/49812]	Loss: 1.5578	LR: 0.100000
Training Epoch: 5 [9152/49812]	Loss: 1.6765	LR: 0.100000
Training Epoch: 5 [9216/49812]	Loss: 1.6311	LR: 0.100000
Training Epoch: 5 [9280/49812]	Loss: 1.7829	LR: 0.100000
Training Epoch: 5 [9344/49812]	Loss: 1.5942	LR: 0.100000
Training Epoch: 5 [9408/49812]	Loss: 1.5790	LR: 0.100000
Training Epoch: 5 [9472/49812]	Loss: 1.7699	LR: 0.100000
Training Epoch: 5 [9536/49812]	Loss: 1.3758	LR: 0.100000
Training Epoch: 5 [9600/49812]	Loss: 1.6938	LR: 0.100000
Training Epoch: 5 [9664/49812]	Loss: 1.8717	LR: 0.100000
Training Epoch: 5 [9728/49812]	Loss: 1.4763	LR: 0.100000
Training Epoch: 5 [9792/49812]	Loss: 1.8277	LR: 0.100000
Training Epoch: 5 [9856/49812]	Loss: 1.8308	LR: 0.100000
Training Epoch: 5 [9920/49812]	Loss: 1.7737	LR: 0.100000
Training Epoch: 5 [9984/49812]	Loss: 1.7915	LR: 0.100000
Training Epoch: 5 [10048/49812]	Loss: 1.7195	LR: 0.100000
Training Epoch: 5 [10112/49812]	Loss: 1.6280	LR: 0.100000
Training Epoch: 5 [10176/49812]	Loss: 1.7482	LR: 0.100000
Training Epoch: 5 [10240/49812]	Loss: 1.5930	LR: 0.100000
Training Epoch: 5 [10304/49812]	Loss: 1.6593	LR: 0.100000
Training Epoch: 5 [10368/49812]	Loss: 1.4218	LR: 0.100000
Training Epoch: 5 [10432/49812]	Loss: 1.9043	LR: 0.100000
Training Epoch: 5 [10496/49812]	Loss: 1.6714	LR: 0.100000
Training Epoch: 5 [10560/49812]	Loss: 1.5777	LR: 0.100000
Training Epoch: 5 [10624/49812]	Loss: 1.4510	LR: 0.100000
Training Epoch: 5 [10688/49812]	Loss: 1.4831	LR: 0.100000
Training Epoch: 5 [10752/49812]	Loss: 1.7282	LR: 0.100000
Training Epoch: 5 [10816/49812]	Loss: 1.5980	LR: 0.100000
Training Epoch: 5 [10880/49812]	Loss: 1.5777	LR: 0.100000
Training Epoch: 5 [10944/49812]	Loss: 2.0553	LR: 0.100000
Training Epoch: 5 [11008/49812]	Loss: 1.6597	LR: 0.100000
Training Epoch: 5 [11072/49812]	Loss: 1.4559	LR: 0.100000
Training Epoch: 5 [11136/49812]	Loss: 1.7398	LR: 0.100000
Training Epoch: 5 [11200/49812]	Loss: 1.7602	LR: 0.100000
Training Epoch: 5 [11264/49812]	Loss: 1.5402	LR: 0.100000
Training Epoch: 5 [11328/49812]	Loss: 1.7673	LR: 0.100000
Training Epoch: 5 [11392/49812]	Loss: 1.7641	LR: 0.100000
Training Epoch: 5 [11456/49812]	Loss: 1.9001	LR: 0.100000
Training Epoch: 5 [11520/49812]	Loss: 1.7704	LR: 0.100000
Training Epoch: 5 [11584/49812]	Loss: 1.8129	LR: 0.100000
Training Epoch: 5 [11648/49812]	Loss: 1.6584	LR: 0.100000
Training Epoch: 5 [11712/49812]	Loss: 1.7658	LR: 0.100000
Training Epoch: 5 [11776/49812]	Loss: 1.7475	LR: 0.100000
Training Epoch: 5 [11840/49812]	Loss: 1.5764	LR: 0.100000
Training Epoch: 5 [11904/49812]	Loss: 1.8356	LR: 0.100000
Training Epoch: 5 [11968/49812]	Loss: 1.6422	LR: 0.100000
Training Epoch: 5 [12032/49812]	Loss: 1.5624	LR: 0.100000
Training Epoch: 5 [12096/49812]	Loss: 1.5025	LR: 0.100000
Training Epoch: 5 [12160/49812]	Loss: 1.3747	LR: 0.100000
Training Epoch: 5 [12224/49812]	Loss: 1.5321	LR: 0.100000
Training Epoch: 5 [12288/49812]	Loss: 1.7680	LR: 0.100000
Training Epoch: 5 [12352/49812]	Loss: 1.4892	LR: 0.100000
Training Epoch: 5 [12416/49812]	Loss: 1.6787	LR: 0.100000
Training Epoch: 5 [12480/49812]	Loss: 1.8844	LR: 0.100000
Training Epoch: 5 [12544/49812]	Loss: 1.7618	LR: 0.100000
Training Epoch: 5 [12608/49812]	Loss: 1.7049	LR: 0.100000
Training Epoch: 5 [12672/49812]	Loss: 1.4572	LR: 0.100000
Training Epoch: 5 [12736/49812]	Loss: 2.0672	LR: 0.100000
Training Epoch: 5 [12800/49812]	Loss: 2.2593	LR: 0.100000
Training Epoch: 5 [12864/49812]	Loss: 2.1540	LR: 0.100000
Training Epoch: 5 [12928/49812]	Loss: 1.8537	LR: 0.100000
Training Epoch: 5 [12992/49812]	Loss: 1.7812	LR: 0.100000
Training Epoch: 5 [13056/49812]	Loss: 1.7797	LR: 0.100000
Training Epoch: 5 [13120/49812]	Loss: 1.7797	LR: 0.100000
Training Epoch: 5 [13184/49812]	Loss: 1.5590	LR: 0.100000
Training Epoch: 5 [13248/49812]	Loss: 1.7580	LR: 0.100000
Training Epoch: 5 [13312/49812]	Loss: 1.3615	LR: 0.100000
Training Epoch: 5 [13376/49812]	Loss: 1.7428	LR: 0.100000
Training Epoch: 5 [13440/49812]	Loss: 1.8258	LR: 0.100000
Training Epoch: 5 [13504/49812]	Loss: 1.4477	LR: 0.100000
Training Epoch: 5 [13568/49812]	Loss: 1.7308	LR: 0.100000
Training Epoch: 5 [13632/49812]	Loss: 1.7641	LR: 0.100000
Training Epoch: 5 [13696/49812]	Loss: 1.6414	LR: 0.100000
Training Epoch: 5 [13760/49812]	Loss: 1.8062	LR: 0.100000
Training Epoch: 5 [13824/49812]	Loss: 1.8971	LR: 0.100000
Training Epoch: 5 [13888/49812]	Loss: 1.6174	LR: 0.100000
Training Epoch: 5 [13952/49812]	Loss: 1.5386	LR: 0.100000
Training Epoch: 5 [14016/49812]	Loss: 1.7998	LR: 0.100000
Training Epoch: 5 [14080/49812]	Loss: 1.4908	LR: 0.100000
Training Epoch: 5 [14144/49812]	Loss: 1.4216	LR: 0.100000
Training Epoch: 5 [14208/49812]	Loss: 1.6713	LR: 0.100000
Training Epoch: 5 [14272/49812]	Loss: 1.6190	LR: 0.100000
Training Epoch: 5 [14336/49812]	Loss: 1.7031	LR: 0.100000
Training Epoch: 5 [14400/49812]	Loss: 1.2903	LR: 0.100000
Training Epoch: 5 [14464/49812]	Loss: 1.7140	LR: 0.100000
Training Epoch: 5 [14528/49812]	Loss: 1.6098	LR: 0.100000
Training Epoch: 5 [14592/49812]	Loss: 1.6856	LR: 0.100000
Training Epoch: 5 [14656/49812]	Loss: 1.6066	LR: 0.100000
Training Epoch: 5 [14720/49812]	Loss: 1.5601	LR: 0.100000
Training Epoch: 5 [14784/49812]	Loss: 1.7460	LR: 0.100000
Training Epoch: 5 [14848/49812]	Loss: 1.6105	LR: 0.100000
Training Epoch: 5 [14912/49812]	Loss: 1.6674	LR: 0.100000
Training Epoch: 5 [14976/49812]	Loss: 1.4348	LR: 0.100000
Training Epoch: 5 [15040/49812]	Loss: 2.0359	LR: 0.100000
Training Epoch: 5 [15104/49812]	Loss: 1.8312	LR: 0.100000
Training Epoch: 5 [15168/49812]	Loss: 1.9788	LR: 0.100000
Training Epoch: 5 [15232/49812]	Loss: 1.6289	LR: 0.100000
Training Epoch: 5 [15296/49812]	Loss: 1.5609	LR: 0.100000
Training Epoch: 5 [15360/49812]	Loss: 1.5736	LR: 0.100000
Training Epoch: 5 [15424/49812]	Loss: 1.6888	LR: 0.100000
Training Epoch: 5 [15488/49812]	Loss: 1.5872	LR: 0.100000
Training Epoch: 5 [15552/49812]	Loss: 1.5728	LR: 0.100000
Training Epoch: 5 [15616/49812]	Loss: 1.7678	LR: 0.100000
Training Epoch: 5 [15680/49812]	Loss: 1.6714	LR: 0.100000
Training Epoch: 5 [15744/49812]	Loss: 1.6191	LR: 0.100000
Training Epoch: 5 [15808/49812]	Loss: 1.4985	LR: 0.100000
Training Epoch: 5 [15872/49812]	Loss: 1.5757	LR: 0.100000
Training Epoch: 5 [15936/49812]	Loss: 1.5580	LR: 0.100000
Training Epoch: 5 [16000/49812]	Loss: 1.6230	LR: 0.100000
Training Epoch: 5 [16064/49812]	Loss: 1.7232	LR: 0.100000
Training Epoch: 5 [16128/49812]	Loss: 1.8175	LR: 0.100000
Training Epoch: 5 [16192/49812]	Loss: 1.7093	LR: 0.100000
Training Epoch: 5 [16256/49812]	Loss: 1.5454	LR: 0.100000
Training Epoch: 5 [16320/49812]	Loss: 1.5046	LR: 0.100000
Training Epoch: 5 [16384/49812]	Loss: 1.7989	LR: 0.100000
Training Epoch: 5 [16448/49812]	Loss: 1.5156	LR: 0.100000
Training Epoch: 5 [16512/49812]	Loss: 1.8141	LR: 0.100000
Training Epoch: 5 [16576/49812]	Loss: 1.7874	LR: 0.100000
Training Epoch: 5 [16640/49812]	Loss: 1.8758	LR: 0.100000
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Training Epoch: 5 [16768/49812]	Loss: 1.7321	LR: 0.100000
Training Epoch: 5 [16832/49812]	Loss: 1.8760	LR: 0.100000
Training Epoch: 5 [16896/49812]	Loss: 1.8416	LR: 0.100000
Training Epoch: 5 [16960/49812]	Loss: 1.7993	LR: 0.100000
Training Epoch: 5 [17024/49812]	Loss: 1.5836	LR: 0.100000
Training Epoch: 5 [17088/49812]	Loss: 1.5677	LR: 0.100000
Training Epoch: 5 [17152/49812]	Loss: 1.4716	LR: 0.100000
Training Epoch: 5 [17216/49812]	Loss: 1.6459	LR: 0.100000
Training Epoch: 5 [17280/49812]	Loss: 1.4020	LR: 0.100000
Training Epoch: 5 [17344/49812]	Loss: 1.6964	LR: 0.100000
Training Epoch: 5 [17408/49812]	Loss: 1.5690	LR: 0.100000
Training Epoch: 5 [17472/49812]	Loss: 1.5876	LR: 0.100000
Training Epoch: 5 [17536/49812]	Loss: 1.5463	LR: 0.100000
Training Epoch: 5 [17600/49812]	Loss: 1.6863	LR: 0.100000
Training Epoch: 5 [17664/49812]	Loss: 1.6721	LR: 0.100000
Training Epoch: 5 [17728/49812]	Loss: 1.6902	LR: 0.100000
Training Epoch: 5 [17792/49812]	Loss: 1.6020	LR: 0.100000
Training Epoch: 5 [17856/49812]	Loss: 1.3603	LR: 0.100000
Training Epoch: 5 [17920/49812]	Loss: 1.3304	LR: 0.100000
Training Epoch: 5 [17984/49812]	Loss: 1.9758	LR: 0.100000
Training Epoch: 5 [18048/49812]	Loss: 1.6613	LR: 0.100000
Training Epoch: 5 [18112/49812]	Loss: 1.7025	LR: 0.100000
Training Epoch: 5 [18176/49812]	Loss: 1.8552	LR: 0.100000
Training Epoch: 5 [18240/49812]	Loss: 1.8710	LR: 0.100000
Training Epoch: 5 [18304/49812]	Loss: 1.8466	LR: 0.100000
Training Epoch: 5 [18368/49812]	Loss: 1.6816	LR: 0.100000
Training Epoch: 5 [18432/49812]	Loss: 1.5101	LR: 0.100000
Training Epoch: 5 [18496/49812]	Loss: 1.8922	LR: 0.100000
Training Epoch: 5 [18560/49812]	Loss: 1.4578	LR: 0.100000
Training Epoch: 5 [18624/49812]	Loss: 2.0073	LR: 0.100000
Training Epoch: 5 [18688/49812]	Loss: 1.5678	LR: 0.100000
Training Epoch: 5 [18752/49812]	Loss: 1.8204	LR: 0.100000
Training Epoch: 5 [18816/49812]	Loss: 1.7516	LR: 0.100000
Training Epoch: 5 [18880/49812]	Loss: 1.5546	LR: 0.100000
Training Epoch: 5 [18944/49812]	Loss: 1.8429	LR: 0.100000
Training Epoch: 5 [19008/49812]	Loss: 1.8085	LR: 0.100000
Training Epoch: 5 [19072/49812]	Loss: 1.7550	LR: 0.100000
Training Epoch: 5 [19136/49812]	Loss: 1.8605	LR: 0.100000
Training Epoch: 5 [19200/49812]	Loss: 1.5627	LR: 0.100000
Training Epoch: 5 [19264/49812]	Loss: 1.6829	LR: 0.100000
Training Epoch: 5 [19328/49812]	Loss: 1.6937	LR: 0.100000
Training Epoch: 5 [19392/49812]	Loss: 1.5191	LR: 0.100000
Training Epoch: 5 [19456/49812]	Loss: 1.5580	LR: 0.100000
Training Epoch: 5 [19520/49812]	Loss: 1.8260	LR: 0.100000
Training Epoch: 5 [19584/49812]	Loss: 1.6824	LR: 0.100000
Training Epoch: 5 [19648/49812]	Loss: 1.7710	LR: 0.100000
Training Epoch: 5 [19712/49812]	Loss: 1.7457	LR: 0.100000
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Training Epoch: 5 [19840/49812]	Loss: 1.8071	LR: 0.100000
Training Epoch: 5 [19904/49812]	Loss: 1.5557	LR: 0.100000
Training Epoch: 5 [19968/49812]	Loss: 2.0802	LR: 0.100000
Training Epoch: 5 [20032/49812]	Loss: 1.4537	LR: 0.100000
Training Epoch: 5 [20096/49812]	Loss: 1.5066	LR: 0.100000
Training Epoch: 5 [20160/49812]	Loss: 1.7147	LR: 0.100000
Training Epoch: 5 [20224/49812]	Loss: 1.6997	LR: 0.100000
Training Epoch: 5 [20288/49812]	Loss: 1.4330	LR: 0.100000
Training Epoch: 5 [20352/49812]	Loss: 1.6802	LR: 0.100000
Training Epoch: 5 [20416/49812]	Loss: 1.8800	LR: 0.100000
Training Epoch: 5 [20480/49812]	Loss: 1.7906	LR: 0.100000
Training Epoch: 5 [20544/49812]	Loss: 1.5725	LR: 0.100000
Training Epoch: 5 [20608/49812]	Loss: 1.4967	LR: 0.100000
Training Epoch: 5 [20672/49812]	Loss: 1.6627	LR: 0.100000
Training Epoch: 5 [20736/49812]	Loss: 1.4318	LR: 0.100000
Training Epoch: 5 [20800/49812]	Loss: 1.6295	LR: 0.100000
Training Epoch: 5 [20864/49812]	Loss: 1.9949	LR: 0.100000
Training Epoch: 5 [20928/49812]	Loss: 1.7528	LR: 0.100000
Training Epoch: 5 [20992/49812]	Loss: 1.3338	LR: 0.100000
Training Epoch: 5 [21056/49812]	Loss: 1.7924	LR: 0.100000
Training Epoch: 5 [21120/49812]	Loss: 1.6291	LR: 0.100000
Training Epoch: 5 [21184/49812]	Loss: 1.5149	LR: 0.100000
Training Epoch: 5 [21248/49812]	Loss: 1.6060	LR: 0.100000
Training Epoch: 5 [21312/49812]	Loss: 1.6473	LR: 0.100000
Training Epoch: 5 [21376/49812]	Loss: 1.5976	LR: 0.100000
Training Epoch: 5 [21440/49812]	Loss: 1.5098	LR: 0.100000
Training Epoch: 5 [21504/49812]	Loss: 1.4677	LR: 0.100000
Training Epoch: 5 [21568/49812]	Loss: 1.4433	LR: 0.100000
Training Epoch: 5 [21632/49812]	Loss: 1.6156	LR: 0.100000
Training Epoch: 5 [21696/49812]	Loss: 1.6454	LR: 0.100000
Training Epoch: 5 [21760/49812]	Loss: 1.6861	LR: 0.100000
Training Epoch: 5 [21824/49812]	Loss: 1.5972	LR: 0.100000
Training Epoch: 5 [21888/49812]	Loss: 1.6688	LR: 0.100000
Training Epoch: 5 [21952/49812]	Loss: 1.6332	LR: 0.100000
Training Epoch: 5 [22016/49812]	Loss: 1.7806	LR: 0.100000
Training Epoch: 5 [22080/49812]	Loss: 1.8944	LR: 0.100000
Training Epoch: 5 [22144/49812]	Loss: 1.5611	LR: 0.100000
Training Epoch: 5 [22208/49812]	Loss: 1.7124	LR: 0.100000
Training Epoch: 5 [22272/49812]	Loss: 1.7875	LR: 0.100000
Training Epoch: 5 [22336/49812]	Loss: 1.6208	LR: 0.100000
Training Epoch: 5 [22400/49812]	Loss: 1.6760	LR: 0.100000
Training Epoch: 5 [22464/49812]	Loss: 1.5509	LR: 0.100000
Training Epoch: 5 [22528/49812]	Loss: 1.7422	LR: 0.100000
Training Epoch: 5 [22592/49812]	Loss: 1.8211	LR: 0.100000
Training Epoch: 5 [22656/49812]	Loss: 1.5892	LR: 0.100000
Training Epoch: 5 [22720/49812]	Loss: 1.7769	LR: 0.100000
Training Epoch: 5 [22784/49812]	Loss: 1.4780	LR: 0.100000
Training Epoch: 5 [22848/49812]	Loss: 1.3291	LR: 0.100000
Training Epoch: 5 [22912/49812]	Loss: 1.7551	LR: 0.100000
Training Epoch: 5 [22976/49812]	Loss: 1.5223	LR: 0.100000
Training Epoch: 5 [23040/49812]	Loss: 1.7449	LR: 0.100000
Training Epoch: 5 [23104/49812]	Loss: 1.7496	LR: 0.100000
Training Epoch: 5 [23168/49812]	Loss: 1.6464	LR: 0.100000
Training Epoch: 5 [23232/49812]	Loss: 2.1550	LR: 0.100000
Training Epoch: 5 [23296/49812]	Loss: 1.3765	LR: 0.100000
Training Epoch: 5 [23360/49812]	Loss: 1.6771	LR: 0.100000
Training Epoch: 5 [23424/49812]	Loss: 1.8277	LR: 0.100000
Training Epoch: 5 [23488/49812]	Loss: 1.5670	LR: 0.100000
Training Epoch: 5 [23552/49812]	Loss: 1.7540	LR: 0.100000
Training Epoch: 5 [23616/49812]	Loss: 1.6261	LR: 0.100000
Training Epoch: 5 [23680/49812]	Loss: 1.6886	LR: 0.100000
Training Epoch: 5 [23744/49812]	Loss: 1.9539	LR: 0.100000
Training Epoch: 5 [23808/49812]	Loss: 1.7444	LR: 0.100000
Training Epoch: 5 [23872/49812]	Loss: 1.5393	LR: 0.100000
Training Epoch: 5 [23936/49812]	Loss: 1.4692	LR: 0.100000
Training Epoch: 5 [24000/49812]	Loss: 1.4561	LR: 0.100000
Training Epoch: 5 [24064/49812]	Loss: 1.7492	LR: 0.100000
Training Epoch: 5 [24128/49812]	Loss: 1.6722	LR: 0.100000
Training Epoch: 5 [24192/49812]	Loss: 1.8707	LR: 0.100000
Training Epoch: 5 [24256/49812]	Loss: 1.3919	LR: 0.100000
Training Epoch: 5 [24320/49812]	Loss: 1.5561	LR: 0.100000
Training Epoch: 5 [24384/49812]	Loss: 1.5877	LR: 0.100000
Training Epoch: 5 [24448/49812]	Loss: 1.5081	LR: 0.100000
Training Epoch: 5 [24512/49812]	Loss: 1.8574	LR: 0.100000
Training Epoch: 5 [24576/49812]	Loss: 1.5309	LR: 0.100000
Training Epoch: 5 [24640/49812]	Loss: 1.6901	LR: 0.100000
Training Epoch: 5 [24704/49812]	Loss: 1.7167	LR: 0.100000
Training Epoch: 5 [24768/49812]	Loss: 1.7653	LR: 0.100000
Training Epoch: 5 [24832/49812]	Loss: 1.5309	LR: 0.100000
Training Epoch: 5 [24896/49812]	Loss: 1.7189	LR: 0.100000
Training Epoch: 5 [24960/49812]	Loss: 1.5113	LR: 0.100000
Training Epoch: 5 [25024/49812]	Loss: 1.6975	LR: 0.100000
Training Epoch: 5 [25088/49812]	Loss: 1.7565	LR: 0.100000
Training Epoch: 5 [25152/49812]	Loss: 1.7248	LR: 0.100000
Training Epoch: 5 [25216/49812]	Loss: 1.4836	LR: 0.100000
Training Epoch: 5 [25280/49812]	Loss: 1.7219	LR: 0.100000
Training Epoch: 5 [25344/49812]	Loss: 1.5794	LR: 0.100000
Training Epoch: 5 [25408/49812]	Loss: 1.9415	LR: 0.100000
Training Epoch: 5 [25472/49812]	Loss: 1.8082	LR: 0.100000
Training Epoch: 5 [25536/49812]	Loss: 1.5814	LR: 0.100000
Training Epoch: 5 [25600/49812]	Loss: 1.4564	LR: 0.100000
Training Epoch: 5 [25664/49812]	Loss: 1.8283	LR: 0.100000
Training Epoch: 5 [25728/49812]	Loss: 1.6725	LR: 0.100000
Training Epoch: 5 [25792/49812]	Loss: 1.5023	LR: 0.100000
Training Epoch: 5 [25856/49812]	Loss: 1.5871	LR: 0.100000
Training Epoch: 5 [25920/49812]	Loss: 1.7893	LR: 0.100000
Training Epoch: 5 [25984/49812]	Loss: 1.5517	LR: 0.100000
Training Epoch: 5 [26048/49812]	Loss: 1.6529	LR: 0.100000
Training Epoch: 5 [26112/49812]	Loss: 1.7866	LR: 0.100000
Training Epoch: 5 [26176/49812]	Loss: 1.6186	LR: 0.100000
Training Epoch: 5 [26240/49812]	Loss: 1.7340	LR: 0.100000
Training Epoch: 5 [26304/49812]	Loss: 1.6399	LR: 0.100000
Training Epoch: 5 [26368/49812]	Loss: 1.6526	LR: 0.100000
Training Epoch: 5 [26432/49812]	Loss: 1.6402	LR: 0.100000
Training Epoch: 5 [26496/49812]	Loss: 1.8201	LR: 0.100000
Training Epoch: 5 [26560/49812]	Loss: 1.5697	LR: 0.100000
Training Epoch: 5 [26624/49812]	Loss: 1.8309	LR: 0.100000
Training Epoch: 5 [26688/49812]	Loss: 1.8845	LR: 0.100000
Training Epoch: 5 [26752/49812]	Loss: 1.4840	LR: 0.100000
Training Epoch: 5 [26816/49812]	Loss: 1.8340	LR: 0.100000
Training Epoch: 5 [26880/49812]	Loss: 1.7386	LR: 0.100000
Training Epoch: 5 [26944/49812]	Loss: 1.4733	LR: 0.100000
Training Epoch: 5 [27008/49812]	Loss: 1.5147	LR: 0.100000
Training Epoch: 5 [27072/49812]	Loss: 1.4289	LR: 0.100000
Training Epoch: 5 [27136/49812]	Loss: 1.6631	LR: 0.100000
Training Epoch: 5 [27200/49812]	Loss: 1.7122	LR: 0.100000
Training Epoch: 5 [27264/49812]	Loss: 1.9779	LR: 0.100000
Training Epoch: 5 [27328/49812]	Loss: 1.5751	LR: 0.100000
Training Epoch: 5 [27392/49812]	Loss: 2.1021	LR: 0.100000
Training Epoch: 5 [27456/49812]	Loss: 1.7121	LR: 0.100000
Training Epoch: 5 [27520/49812]	Loss: 1.6361	LR: 0.100000
Training Epoch: 5 [27584/49812]	Loss: 1.7223	LR: 0.100000
Training Epoch: 5 [27648/49812]	Loss: 1.5905	LR: 0.100000
Training Epoch: 5 [27712/49812]	Loss: 1.7251	LR: 0.100000
Training Epoch: 5 [27776/49812]	Loss: 1.4996	LR: 0.100000
Training Epoch: 5 [27840/49812]	Loss: 1.7424	LR: 0.100000
Training Epoch: 5 [27904/49812]	Loss: 1.5379	LR: 0.100000
Training Epoch: 5 [27968/49812]	Loss: 1.4597	LR: 0.100000
Training Epoch: 5 [28032/49812]	Loss: 1.7384	LR: 0.100000
Training Epoch: 5 [28096/49812]	Loss: 1.8050	LR: 0.100000
Training Epoch: 5 [28160/49812]	Loss: 1.6588	LR: 0.100000
Training Epoch: 5 [28224/49812]	Loss: 1.6676	LR: 0.100000
Training Epoch: 5 [28288/49812]	Loss: 1.5756	LR: 0.100000
Training Epoch: 5 [28352/49812]	Loss: 1.7384	LR: 0.100000
Training Epoch: 5 [28416/49812]	Loss: 1.6223	LR: 0.100000
Training Epoch: 5 [28480/49812]	Loss: 1.6502	LR: 0.100000
Training Epoch: 5 [28544/49812]	Loss: 1.4119	LR: 0.100000
Training Epoch: 5 [28608/49812]	Loss: 1.8097	LR: 0.100000
Training Epoch: 5 [28672/49812]	Loss: 1.7503	LR: 0.100000
Training Epoch: 5 [28736/49812]	Loss: 1.6895	LR: 0.100000
Training Epoch: 5 [28800/49812]	Loss: 1.5815	LR: 0.100000
Training Epoch: 5 [28864/49812]	Loss: 1.6493	LR: 0.100000
Training Epoch: 5 [28928/49812]	Loss: 1.5938	LR: 0.100000
Training Epoch: 5 [28992/49812]	Loss: 1.6489	LR: 0.100000
Training Epoch: 5 [29056/49812]	Loss: 1.7149	LR: 0.100000
Training Epoch: 5 [29120/49812]	Loss: 1.9012	LR: 0.100000
Training Epoch: 5 [29184/49812]	Loss: 2.0170	LR: 0.100000
Training Epoch: 5 [29248/49812]	Loss: 1.8948	LR: 0.100000
Training Epoch: 5 [29312/49812]	Loss: 1.4987	LR: 0.100000
Training Epoch: 5 [29376/49812]	Loss: 1.6577	LR: 0.100000
Training Epoch: 5 [29440/49812]	Loss: 1.6185	LR: 0.100000
Training Epoch: 5 [29504/49812]	Loss: 1.5063	LR: 0.100000
Training Epoch: 5 [29568/49812]	Loss: 1.6969	LR: 0.100000
Training Epoch: 5 [29632/49812]	Loss: 1.5844	LR: 0.100000
Training Epoch: 5 [29696/49812]	Loss: 1.6106	LR: 0.100000
Training Epoch: 5 [29760/49812]	Loss: 1.7887	LR: 0.100000
Training Epoch: 5 [29824/49812]	Loss: 1.8095	LR: 0.100000
Training Epoch: 5 [29888/49812]	Loss: 1.8703	LR: 0.100000
Training Epoch: 5 [29952/49812]	Loss: 1.6372	LR: 0.100000
Training Epoch: 5 [30016/49812]	Loss: 1.7460	LR: 0.100000
Training Epoch: 5 [30080/49812]	Loss: 1.8384	LR: 0.100000
Training Epoch: 5 [30144/49812]	Loss: 1.9115	LR: 0.100000
Training Epoch: 5 [30208/49812]	Loss: 1.5483	LR: 0.100000
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Training Epoch: 5 [30464/49812]	Loss: 1.7239	LR: 0.100000
Training Epoch: 5 [30528/49812]	Loss: 1.7228	LR: 0.100000
Training Epoch: 5 [30592/49812]	Loss: 1.4900	LR: 0.100000
Training Epoch: 5 [30656/49812]	Loss: 1.6581	LR: 0.100000
Training Epoch: 5 [30720/49812]	Loss: 1.6640	LR: 0.100000
Training Epoch: 5 [30784/49812]	Loss: 1.7077	LR: 0.100000
Training Epoch: 5 [30848/49812]	Loss: 1.7310	LR: 0.100000
Training Epoch: 5 [30912/49812]	Loss: 1.7213	LR: 0.100000
Training Epoch: 5 [30976/49812]	Loss: 1.8624	LR: 0.100000
Training Epoch: 5 [31040/49812]	Loss: 1.8286	LR: 0.100000
Training Epoch: 5 [31104/49812]	Loss: 1.7034	LR: 0.100000
Training Epoch: 5 [31168/49812]	Loss: 1.7443	LR: 0.100000
Training Epoch: 5 [31232/49812]	Loss: 1.4388	LR: 0.100000
Training Epoch: 5 [31296/49812]	Loss: 1.8283	LR: 0.100000
Training Epoch: 5 [31360/49812]	Loss: 1.6658	LR: 0.100000
Training Epoch: 5 [31424/49812]	Loss: 1.9482	LR: 0.100000
Training Epoch: 5 [31488/49812]	Loss: 1.5240	LR: 0.100000
Training Epoch: 5 [31552/49812]	Loss: 1.7155	LR: 0.100000
Training Epoch: 5 [31616/49812]	Loss: 1.6564	LR: 0.100000
Training Epoch: 5 [31680/49812]	Loss: 1.8124	LR: 0.100000
Training Epoch: 5 [31744/49812]	Loss: 1.5074	LR: 0.100000
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Training Epoch: 5 [31872/49812]	Loss: 1.5097	LR: 0.100000
Training Epoch: 5 [31936/49812]	Loss: 1.7749	LR: 0.100000
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Training Epoch: 5 [32064/49812]	Loss: 1.5195	LR: 0.100000
Training Epoch: 5 [32128/49812]	Loss: 1.2352	LR: 0.100000
Training Epoch: 5 [32192/49812]	Loss: 1.6572	LR: 0.100000
Training Epoch: 5 [32256/49812]	Loss: 1.5510	LR: 0.100000
Training Epoch: 5 [32320/49812]	Loss: 1.7695	LR: 0.100000
Training Epoch: 5 [32384/49812]	Loss: 1.5495	LR: 0.100000
Training Epoch: 5 [32448/49812]	Loss: 1.6190	LR: 0.100000
Training Epoch: 5 [32512/49812]	Loss: 1.8673	LR: 0.100000
Training Epoch: 5 [32576/49812]	Loss: 1.5733	LR: 0.100000
Training Epoch: 5 [32640/49812]	Loss: 2.1804	LR: 0.100000
Training Epoch: 5 [32704/49812]	Loss: 1.8678	LR: 0.100000
Training Epoch: 5 [32768/49812]	Loss: 1.5748	LR: 0.100000
Training Epoch: 5 [32832/49812]	Loss: 1.3814	LR: 0.100000
Training Epoch: 5 [32896/49812]	Loss: 1.6554	LR: 0.100000
Training Epoch: 5 [32960/49812]	Loss: 1.6758	LR: 0.100000
Training Epoch: 5 [33024/49812]	Loss: 1.6284	LR: 0.100000
Training Epoch: 5 [33088/49812]	Loss: 1.8583	LR: 0.100000
Training Epoch: 5 [33152/49812]	Loss: 1.5988	LR: 0.100000
Training Epoch: 5 [33216/49812]	Loss: 1.7202	LR: 0.100000
Training Epoch: 5 [33280/49812]	Loss: 1.8212	LR: 0.100000
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Training Epoch: 5 [33408/49812]	Loss: 1.6317	LR: 0.100000
Training Epoch: 5 [33472/49812]	Loss: 1.7413	LR: 0.100000
Training Epoch: 5 [33536/49812]	Loss: 1.5201	LR: 0.100000
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Training Epoch: 5 [33664/49812]	Loss: 1.7278	LR: 0.100000
Training Epoch: 5 [33728/49812]	Loss: 1.7077	LR: 0.100000
Training Epoch: 5 [33792/49812]	Loss: 1.4290	LR: 0.100000
Training Epoch: 5 [33856/49812]	Loss: 1.5579	LR: 0.100000
Training Epoch: 5 [33920/49812]	Loss: 1.5732	LR: 0.100000
Training Epoch: 5 [33984/49812]	Loss: 1.7330	LR: 0.100000
Training Epoch: 5 [34048/49812]	Loss: 1.6741	LR: 0.100000
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Training Epoch: 5 [34240/49812]	Loss: 1.4060	LR: 0.100000
Training Epoch: 5 [34304/49812]	Loss: 1.6276	LR: 0.100000
Training Epoch: 5 [34368/49812]	Loss: 1.5431	LR: 0.100000
Training Epoch: 5 [34432/49812]	Loss: 1.3099	LR: 0.100000
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Training Epoch: 5 [34560/49812]	Loss: 1.5952	LR: 0.100000
Training Epoch: 5 [34624/49812]	Loss: 1.6484	LR: 0.100000
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Training Epoch: 5 [34816/49812]	Loss: 1.5143	LR: 0.100000
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Training Epoch: 5 [34944/49812]	Loss: 1.2427	LR: 0.100000
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Training Epoch: 5 [35520/49812]	Loss: 1.7658	LR: 0.100000
Training Epoch: 5 [35584/49812]	Loss: 1.6952	LR: 0.100000
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Training Epoch: 5 [35712/49812]	Loss: 1.6134	LR: 0.100000
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Training Epoch: 5 [35840/49812]	Loss: 1.9026	LR: 0.100000
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Training Epoch: 5 [36288/49812]	Loss: 1.4794	LR: 0.100000
Training Epoch: 5 [36352/49812]	Loss: 1.6584	LR: 0.100000
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Training Epoch: 5 [36544/49812]	Loss: 1.8294	LR: 0.100000
Training Epoch: 5 [36608/49812]	Loss: 1.6023	LR: 0.100000
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Training Epoch: 5 [36736/49812]	Loss: 1.3327	LR: 0.100000
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Training Epoch: 5 [36928/49812]	Loss: 1.5902	LR: 0.100000
Training Epoch: 5 [36992/49812]	Loss: 1.4195	LR: 0.100000
Training Epoch: 5 [37056/49812]	Loss: 1.6053	LR: 0.100000
Training Epoch: 5 [37120/49812]	Loss: 1.7994	LR: 0.100000
Training Epoch: 5 [37184/49812]	Loss: 1.7468	LR: 0.100000
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Training Epoch: 5 [37504/49812]	Loss: 1.3042	LR: 0.100000
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Training Epoch: 5 [37696/49812]	Loss: 1.4358	LR: 0.100000
Training Epoch: 5 [37760/49812]	Loss: 1.8581	LR: 0.100000
Training Epoch: 5 [37824/49812]	Loss: 1.6052	LR: 0.100000
Training Epoch: 5 [37888/49812]	Loss: 1.4342	LR: 0.100000
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Training Epoch: 5 [38272/49812]	Loss: 2.0394	LR: 0.100000
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Training Epoch: 5 [38976/49812]	Loss: 1.5208	LR: 0.100000
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Training Epoch: 5 [39232/49812]	Loss: 1.6815	LR: 0.100000
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Training Epoch: 5 [39360/49812]	Loss: 2.0698	LR: 0.100000
Training Epoch: 5 [39424/49812]	Loss: 1.7076	LR: 0.100000
Training Epoch: 5 [39488/49812]	Loss: 1.5791	LR: 0.100000
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Training Epoch: 5 [39616/49812]	Loss: 1.7989	LR: 0.100000
Training Epoch: 5 [39680/49812]	Loss: 1.8817	LR: 0.100000
Training Epoch: 5 [39744/49812]	Loss: 1.6444	LR: 0.100000
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Training Epoch: 5 [39872/49812]	Loss: 1.9694	LR: 0.100000
Training Epoch: 5 [39936/49812]	Loss: 1.6848	LR: 0.100000
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Training Epoch: 5 [40064/49812]	Loss: 1.7864	LR: 0.100000
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Training Epoch: 5 [40512/49812]	Loss: 1.9028	LR: 0.100000
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Training Epoch: 5 [40704/49812]	Loss: 1.6169	LR: 0.100000
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Training Epoch: 5 [40832/49812]	Loss: 1.5067	LR: 0.100000
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Training Epoch: 5 [43648/49812]	Loss: 1.7428	LR: 0.100000
Training Epoch: 5 [43712/49812]	Loss: 1.5996	LR: 0.100000
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Training Epoch: 5 [44096/49812]	Loss: 1.6598	LR: 0.100000
Training Epoch: 5 [44160/49812]	Loss: 1.5637	LR: 0.100000
Training Epoch: 5 [44224/49812]	Loss: 1.9066	LR: 0.100000
Training Epoch: 5 [44288/49812]	Loss: 1.7290	LR: 0.100000
Training Epoch: 5 [44352/49812]	Loss: 1.5748	LR: 0.100000
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Training Epoch: 5 [44544/49812]	Loss: 1.7244	LR: 0.100000
Training Epoch: 5 [44608/49812]	Loss: 1.4556	LR: 0.100000
Training Epoch: 5 [44672/49812]	Loss: 1.5096	LR: 0.100000
Training Epoch: 5 [44736/49812]	Loss: 1.3427	LR: 0.100000
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Training Epoch: 5 [44864/49812]	Loss: 1.8064	LR: 0.100000
Training Epoch: 5 [44928/49812]	Loss: 1.6322	LR: 0.100000
Training Epoch: 5 [44992/49812]	Loss: 1.6665	LR: 0.100000
Training Epoch: 5 [45056/49812]	Loss: 2.0781	LR: 0.100000
Training Epoch: 5 [45120/49812]	Loss: 1.7128	LR: 0.100000
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Training Epoch: 5 [45312/49812]	Loss: 1.5076	LR: 0.100000
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Training Epoch: 5 [45440/49812]	Loss: 1.3263	LR: 0.100000
Training Epoch: 5 [45504/49812]	Loss: 1.8572	LR: 0.100000
Training Epoch: 5 [45568/49812]	Loss: 1.8259	LR: 0.100000
Training Epoch: 5 [45632/49812]	Loss: 1.7467	LR: 0.100000
Training Epoch: 5 [45696/49812]	Loss: 1.8529	LR: 0.100000
Training Epoch: 5 [45760/49812]	Loss: 1.6307	LR: 0.100000
Training Epoch: 5 [45824/49812]	Loss: 1.6578	LR: 0.100000
Training Epoch: 5 [45888/49812]	Loss: 1.6048	LR: 0.100000
Training Epoch: 5 [45952/49812]	Loss: 1.4721	LR: 0.100000
Training Epoch: 5 [46016/49812]	Loss: 1.8201	LR: 0.100000
Training Epoch: 5 [46080/49812]	Loss: 1.6780	LR: 0.100000
Training Epoch: 5 [46144/49812]	Loss: 1.7967	LR: 0.100000
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Training Epoch: 5 [46528/49812]	Loss: 1.6801	LR: 0.100000
Training Epoch: 5 [46592/49812]	Loss: 1.7557	LR: 0.100000
Training Epoch: 5 [46656/49812]	Loss: 1.5433	LR: 0.100000
Training Epoch: 5 [46720/49812]	Loss: 1.5202	LR: 0.100000
Training Epoch: 5 [46784/49812]	Loss: 1.6664	LR: 0.100000
Training Epoch: 5 [46848/49812]	Loss: 1.7252	LR: 0.100000
Training Epoch: 5 [46912/49812]	Loss: 1.5702	LR: 0.100000
Training Epoch: 5 [46976/49812]	Loss: 1.6800	LR: 0.100000
Training Epoch: 5 [47040/49812]	Loss: 1.4484	LR: 0.100000
Training Epoch: 5 [47104/49812]	Loss: 1.7369	LR: 0.100000
Training Epoch: 5 [47168/49812]	Loss: 1.3389	LR: 0.100000
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Training Epoch: 5 [47296/49812]	Loss: 1.7161	LR: 0.100000
Training Epoch: 5 [47360/49812]	Loss: 2.0350	LR: 0.100000
Training Epoch: 5 [47424/49812]	Loss: 1.7845	LR: 0.100000
Training Epoch: 5 [47488/49812]	Loss: 1.8527	LR: 0.100000
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Training Epoch: 5 [47616/49812]	Loss: 1.5585	LR: 0.100000
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Training Epoch: 5 [47744/49812]	Loss: 1.3876	LR: 0.100000
Training Epoch: 5 [47808/49812]	Loss: 1.5611	LR: 0.100000
Training Epoch: 5 [47872/49812]	Loss: 1.6303	LR: 0.100000
Training Epoch: 5 [47936/49812]	Loss: 1.8233	LR: 0.100000
Training Epoch: 5 [48000/49812]	Loss: 1.5837	LR: 0.100000
Training Epoch: 5 [48064/49812]	Loss: 1.5864	LR: 0.100000
Training Epoch: 5 [48128/49812]	Loss: 1.7771	LR: 0.100000
Training Epoch: 5 [48192/49812]	Loss: 1.7865	LR: 0.100000
Training Epoch: 5 [48256/49812]	Loss: 1.7647	LR: 0.100000
Training Epoch: 5 [48320/49812]	Loss: 1.5811	LR: 0.100000
Training Epoch: 5 [48384/49812]	Loss: 1.6647	LR: 0.100000
Training Epoch: 5 [48448/49812]	Loss: 1.4438	LR: 0.100000
Training Epoch: 5 [48512/49812]	Loss: 1.7322	LR: 0.100000
Training Epoch: 5 [48576/49812]	Loss: 1.5838	LR: 0.100000
Training Epoch: 5 [48640/49812]	Loss: 1.3592	LR: 0.100000
Training Epoch: 5 [48704/49812]	Loss: 1.4316	LR: 0.100000
Training Epoch: 5 [48768/49812]	Loss: 1.7038	LR: 0.100000
Training Epoch: 5 [48832/49812]	Loss: 1.8936	LR: 0.100000
Training Epoch: 5 [48896/49812]	Loss: 1.3741	LR: 0.100000
Training Epoch: 5 [48960/49812]	Loss: 1.9073	LR: 0.100000
Training Epoch: 5 [49024/49812]	Loss: 1.5556	LR: 0.100000
Training Epoch: 5 [49088/49812]	Loss: 1.5384	LR: 0.100000
Training Epoch: 5 [49152/49812]	Loss: 1.9028	LR: 0.100000
Training Epoch: 5 [49216/49812]	Loss: 1.8871	LR: 0.100000
Training Epoch: 5 [49280/49812]	Loss: 1.7746	LR: 0.100000
Training Epoch: 5 [49344/49812]	Loss: 1.6556	LR: 0.100000
Training Epoch: 5 [49408/49812]	Loss: 1.6283	LR: 0.100000
Training Epoch: 5 [49472/49812]	Loss: 1.6439	LR: 0.100000
Training Epoch: 5 [49536/49812]	Loss: 1.4941	LR: 0.100000
Training Epoch: 5 [49600/49812]	Loss: 1.5755	LR: 0.100000
Training Epoch: 5 [49664/49812]	Loss: 1.8600	LR: 0.100000
Training Epoch: 5 [49728/49812]	Loss: 1.5377	LR: 0.100000
Training Epoch: 5 [49792/49812]	Loss: 1.5490	LR: 0.100000
Training Epoch: 5 [49812/49812]	Loss: 1.6186	LR: 0.100000
Epoch 5 - Average Train Loss: 1.6662, Train Accuracy: 0.4737
Epoch 5 training time consumed: 262.52s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0365, Accuracy: 0.3820, Time consumed:17.58s
Training Epoch: 6 [64/49812]	Loss: 1.8281	LR: 0.100000
Training Epoch: 6 [128/49812]	Loss: 1.3642	LR: 0.100000
Training Epoch: 6 [192/49812]	Loss: 1.5532	LR: 0.100000
Training Epoch: 6 [256/49812]	Loss: 1.7607	LR: 0.100000
Training Epoch: 6 [320/49812]	Loss: 1.5993	LR: 0.100000
Training Epoch: 6 [384/49812]	Loss: 1.7291	LR: 0.100000
Training Epoch: 6 [448/49812]	Loss: 1.5429	LR: 0.100000
Training Epoch: 6 [512/49812]	Loss: 1.4906	LR: 0.100000
Training Epoch: 6 [576/49812]	Loss: 1.7635	LR: 0.100000
Training Epoch: 6 [640/49812]	Loss: 1.7409	LR: 0.100000
Training Epoch: 6 [704/49812]	Loss: 1.8502	LR: 0.100000
Training Epoch: 6 [768/49812]	Loss: 1.4696	LR: 0.100000
Training Epoch: 6 [832/49812]	Loss: 1.6981	LR: 0.100000
Training Epoch: 6 [896/49812]	Loss: 1.6471	LR: 0.100000
Training Epoch: 6 [960/49812]	Loss: 1.8495	LR: 0.100000
Training Epoch: 6 [1024/49812]	Loss: 1.7351	LR: 0.100000
Training Epoch: 6 [1088/49812]	Loss: 1.5731	LR: 0.100000
Training Epoch: 6 [1152/49812]	Loss: 1.4413	LR: 0.100000
Training Epoch: 6 [1216/49812]	Loss: 1.6051	LR: 0.100000
Training Epoch: 6 [1280/49812]	Loss: 1.8164	LR: 0.100000
Training Epoch: 6 [1344/49812]	Loss: 1.5067	LR: 0.100000
Training Epoch: 6 [1408/49812]	Loss: 1.4027	LR: 0.100000
Training Epoch: 6 [1472/49812]	Loss: 1.3033	LR: 0.100000
Training Epoch: 6 [1536/49812]	Loss: 1.3289	LR: 0.100000
Training Epoch: 6 [1600/49812]	Loss: 1.3135	LR: 0.100000
Training Epoch: 6 [1664/49812]	Loss: 1.4392	LR: 0.100000
Training Epoch: 6 [1728/49812]	Loss: 1.3843	LR: 0.100000
Training Epoch: 6 [1792/49812]	Loss: 1.5839	LR: 0.100000
Training Epoch: 6 [1856/49812]	Loss: 1.6904	LR: 0.100000
Training Epoch: 6 [1920/49812]	Loss: 1.7631	LR: 0.100000
Training Epoch: 6 [1984/49812]	Loss: 1.7456	LR: 0.100000
Training Epoch: 6 [2048/49812]	Loss: 1.4728	LR: 0.100000
Training Epoch: 6 [2112/49812]	Loss: 1.6201	LR: 0.100000
Training Epoch: 6 [2176/49812]	Loss: 1.8772	LR: 0.100000
Training Epoch: 6 [2240/49812]	Loss: 1.6030	LR: 0.100000
Training Epoch: 6 [2304/49812]	Loss: 1.6701	LR: 0.100000
Training Epoch: 6 [2368/49812]	Loss: 1.5432	LR: 0.100000
Training Epoch: 6 [2432/49812]	Loss: 1.5049	LR: 0.100000
Training Epoch: 6 [2496/49812]	Loss: 1.6879	LR: 0.100000
Training Epoch: 6 [2560/49812]	Loss: 1.5564	LR: 0.100000
Training Epoch: 6 [2624/49812]	Loss: 1.5775	LR: 0.100000
Training Epoch: 6 [2688/49812]	Loss: 1.8554	LR: 0.100000
Training Epoch: 6 [2752/49812]	Loss: 1.5371	LR: 0.100000
Training Epoch: 6 [2816/49812]	Loss: 1.4846	LR: 0.100000
Training Epoch: 6 [2880/49812]	Loss: 1.3384	LR: 0.100000
Training Epoch: 6 [2944/49812]	Loss: 1.4873	LR: 0.100000
Training Epoch: 6 [3008/49812]	Loss: 1.5453	LR: 0.100000
Training Epoch: 6 [3072/49812]	Loss: 1.4862	LR: 0.100000
Training Epoch: 6 [3136/49812]	Loss: 1.9041	LR: 0.100000
Training Epoch: 6 [3200/49812]	Loss: 1.7508	LR: 0.100000
Training Epoch: 6 [3264/49812]	Loss: 1.5213	LR: 0.100000
Training Epoch: 6 [3328/49812]	Loss: 1.7939	LR: 0.100000
Training Epoch: 6 [3392/49812]	Loss: 1.7088	LR: 0.100000
Training Epoch: 6 [3456/49812]	Loss: 1.5335	LR: 0.100000
Training Epoch: 6 [3520/49812]	Loss: 1.6147	LR: 0.100000
Training Epoch: 6 [3584/49812]	Loss: 1.6725	LR: 0.100000
Training Epoch: 6 [3648/49812]	Loss: 1.5671	LR: 0.100000
Training Epoch: 6 [3712/49812]	Loss: 1.7996	LR: 0.100000
Training Epoch: 6 [3776/49812]	Loss: 1.6112	LR: 0.100000
Training Epoch: 6 [3840/49812]	Loss: 1.6306	LR: 0.100000
Training Epoch: 6 [3904/49812]	Loss: 1.8682	LR: 0.100000
Training Epoch: 6 [3968/49812]	Loss: 1.5155	LR: 0.100000
Training Epoch: 6 [4032/49812]	Loss: 1.6858	LR: 0.100000
Training Epoch: 6 [4096/49812]	Loss: 1.6164	LR: 0.100000
Training Epoch: 6 [4160/49812]	Loss: 1.7959	LR: 0.100000
Training Epoch: 6 [4224/49812]	Loss: 1.6869	LR: 0.100000
Training Epoch: 6 [4288/49812]	Loss: 1.6578	LR: 0.100000
Training Epoch: 6 [4352/49812]	Loss: 1.7240	LR: 0.100000
Training Epoch: 6 [4416/49812]	Loss: 1.6523	LR: 0.100000
Training Epoch: 6 [4480/49812]	Loss: 1.6350	LR: 0.100000
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Training Epoch: 6 [4736/49812]	Loss: 1.5755	LR: 0.100000
Training Epoch: 6 [4800/49812]	Loss: 1.4310	LR: 0.100000
Training Epoch: 6 [4864/49812]	Loss: 1.7560	LR: 0.100000
Training Epoch: 6 [4928/49812]	Loss: 1.7496	LR: 0.100000
Training Epoch: 6 [4992/49812]	Loss: 1.9032	LR: 0.100000
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Training Epoch: 6 [5120/49812]	Loss: 1.7846	LR: 0.100000
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Training Epoch: 6 [5696/49812]	Loss: 1.4419	LR: 0.100000
Training Epoch: 6 [5760/49812]	Loss: 1.8154	LR: 0.100000
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Training Epoch: 6 [5888/49812]	Loss: 1.8166	LR: 0.100000
Training Epoch: 6 [5952/49812]	Loss: 1.8888	LR: 0.100000
Training Epoch: 6 [6016/49812]	Loss: 1.7488	LR: 0.100000
Training Epoch: 6 [6080/49812]	Loss: 1.4564	LR: 0.100000
Training Epoch: 6 [6144/49812]	Loss: 1.8917	LR: 0.100000
Training Epoch: 6 [6208/49812]	Loss: 1.5034	LR: 0.100000
Training Epoch: 6 [6272/49812]	Loss: 1.4475	LR: 0.100000
Training Epoch: 6 [6336/49812]	Loss: 1.7884	LR: 0.100000
Training Epoch: 6 [6400/49812]	Loss: 1.7611	LR: 0.100000
Training Epoch: 6 [6464/49812]	Loss: 1.6859	LR: 0.100000
Training Epoch: 6 [6528/49812]	Loss: 1.3518	LR: 0.100000
Training Epoch: 6 [6592/49812]	Loss: 1.3124	LR: 0.100000
Training Epoch: 6 [6656/49812]	Loss: 1.4578	LR: 0.100000
Training Epoch: 6 [6720/49812]	Loss: 1.5462	LR: 0.100000
Training Epoch: 6 [6784/49812]	Loss: 1.5352	LR: 0.100000
Training Epoch: 6 [6848/49812]	Loss: 1.5620	LR: 0.100000
Training Epoch: 6 [6912/49812]	Loss: 1.4241	LR: 0.100000
Training Epoch: 6 [6976/49812]	Loss: 1.7238	LR: 0.100000
Training Epoch: 6 [7040/49812]	Loss: 1.4798	LR: 0.100000
Training Epoch: 6 [7104/49812]	Loss: 1.9016	LR: 0.100000
Training Epoch: 6 [7168/49812]	Loss: 1.6347	LR: 0.100000
Training Epoch: 6 [7232/49812]	Loss: 1.5773	LR: 0.100000
Training Epoch: 6 [7296/49812]	Loss: 1.7465	LR: 0.100000
Training Epoch: 6 [7360/49812]	Loss: 1.5190	LR: 0.100000
Training Epoch: 6 [7424/49812]	Loss: 1.7170	LR: 0.100000
Training Epoch: 6 [7488/49812]	Loss: 1.3677	LR: 0.100000
Training Epoch: 6 [7552/49812]	Loss: 1.4166	LR: 0.100000
Training Epoch: 6 [7616/49812]	Loss: 1.5856	LR: 0.100000
Training Epoch: 6 [7680/49812]	Loss: 1.4875	LR: 0.100000
Training Epoch: 6 [7744/49812]	Loss: 1.4351	LR: 0.100000
Training Epoch: 6 [7808/49812]	Loss: 1.5738	LR: 0.100000
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Training Epoch: 6 [8128/49812]	Loss: 1.6907	LR: 0.100000
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Training Epoch: 6 [8640/49812]	Loss: 1.4403	LR: 0.100000
Training Epoch: 6 [8704/49812]	Loss: 1.6790	LR: 0.100000
Training Epoch: 6 [8768/49812]	Loss: 1.4319	LR: 0.100000
Training Epoch: 6 [8832/49812]	Loss: 1.6901	LR: 0.100000
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Training Epoch: 6 [9280/49812]	Loss: 1.5843	LR: 0.100000
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Training Epoch: 6 [9408/49812]	Loss: 1.7894	LR: 0.100000
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Training Epoch: 6 [9792/49812]	Loss: 1.4550	LR: 0.100000
Training Epoch: 6 [9856/49812]	Loss: 1.2758	LR: 0.100000
Training Epoch: 6 [9920/49812]	Loss: 1.6999	LR: 0.100000
Training Epoch: 6 [9984/49812]	Loss: 1.4420	LR: 0.100000
Training Epoch: 6 [10048/49812]	Loss: 1.8414	LR: 0.100000
Training Epoch: 6 [10112/49812]	Loss: 1.6402	LR: 0.100000
Training Epoch: 6 [10176/49812]	Loss: 1.5618	LR: 0.100000
Training Epoch: 6 [10240/49812]	Loss: 1.8639	LR: 0.100000
Training Epoch: 6 [10304/49812]	Loss: 1.4821	LR: 0.100000
Training Epoch: 6 [10368/49812]	Loss: 1.7048	LR: 0.100000
Training Epoch: 6 [10432/49812]	Loss: 1.4381	LR: 0.100000
Training Epoch: 6 [10496/49812]	Loss: 1.8092	LR: 0.100000
Training Epoch: 6 [10560/49812]	Loss: 1.5570	LR: 0.100000
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Training Epoch: 6 [15232/49812]	Loss: 1.5411	LR: 0.100000
Training Epoch: 6 [15296/49812]	Loss: 1.5725	LR: 0.100000
Training Epoch: 6 [15360/49812]	Loss: 1.4632	LR: 0.100000
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Training Epoch: 6 [15488/49812]	Loss: 1.5989	LR: 0.100000
Training Epoch: 6 [15552/49812]	Loss: 2.1173	LR: 0.100000
Training Epoch: 6 [15616/49812]	Loss: 1.5362	LR: 0.100000
Training Epoch: 6 [15680/49812]	Loss: 1.4753	LR: 0.100000
Training Epoch: 6 [15744/49812]	Loss: 1.9055	LR: 0.100000
Training Epoch: 6 [15808/49812]	Loss: 1.5277	LR: 0.100000
Training Epoch: 6 [15872/49812]	Loss: 1.3565	LR: 0.100000
Training Epoch: 6 [15936/49812]	Loss: 2.0107	LR: 0.100000
Training Epoch: 6 [16000/49812]	Loss: 1.6441	LR: 0.100000
Training Epoch: 6 [16064/49812]	Loss: 1.5284	LR: 0.100000
Training Epoch: 6 [16128/49812]	Loss: 1.6069	LR: 0.100000
Training Epoch: 6 [16192/49812]	Loss: 1.6889	LR: 0.100000
Training Epoch: 6 [16256/49812]	Loss: 1.4041	LR: 0.100000
Training Epoch: 6 [16320/49812]	Loss: 1.5350	LR: 0.100000
Training Epoch: 6 [16384/49812]	Loss: 1.5910	LR: 0.100000
Training Epoch: 6 [16448/49812]	Loss: 1.4870	LR: 0.100000
Training Epoch: 6 [16512/49812]	Loss: 1.9883	LR: 0.100000
Training Epoch: 6 [16576/49812]	Loss: 1.4371	LR: 0.100000
Training Epoch: 6 [16640/49812]	Loss: 1.8096	LR: 0.100000
Training Epoch: 6 [16704/49812]	Loss: 1.6539	LR: 0.100000
Training Epoch: 6 [16768/49812]	Loss: 1.2881	LR: 0.100000
Training Epoch: 6 [16832/49812]	Loss: 1.6189	LR: 0.100000
Training Epoch: 6 [16896/49812]	Loss: 1.6031	LR: 0.100000
Training Epoch: 6 [16960/49812]	Loss: 1.3700	LR: 0.100000
Training Epoch: 6 [17024/49812]	Loss: 1.4979	LR: 0.100000
Training Epoch: 6 [17088/49812]	Loss: 1.7104	LR: 0.100000
Training Epoch: 6 [17152/49812]	Loss: 1.6083	LR: 0.100000
Training Epoch: 6 [17216/49812]	Loss: 1.6551	LR: 0.100000
Training Epoch: 6 [17280/49812]	Loss: 1.5302	LR: 0.100000
Training Epoch: 6 [17344/49812]	Loss: 1.6516	LR: 0.100000
Training Epoch: 6 [17408/49812]	Loss: 1.4909	LR: 0.100000
Training Epoch: 6 [17472/49812]	Loss: 1.6856	LR: 0.100000
Training Epoch: 6 [17536/49812]	Loss: 1.4938	LR: 0.100000
Training Epoch: 6 [17600/49812]	Loss: 1.6355	LR: 0.100000
Training Epoch: 6 [17664/49812]	Loss: 1.5806	LR: 0.100000
Training Epoch: 6 [17728/49812]	Loss: 1.6700	LR: 0.100000
Training Epoch: 6 [17792/49812]	Loss: 1.4994	LR: 0.100000
Training Epoch: 6 [17856/49812]	Loss: 1.5140	LR: 0.100000
Training Epoch: 6 [17920/49812]	Loss: 1.5242	LR: 0.100000
Training Epoch: 6 [17984/49812]	Loss: 1.9023	LR: 0.100000
Training Epoch: 6 [18048/49812]	Loss: 1.5506	LR: 0.100000
Training Epoch: 6 [18112/49812]	Loss: 1.4458	LR: 0.100000
Training Epoch: 6 [18176/49812]	Loss: 1.9548	LR: 0.100000
Training Epoch: 6 [18240/49812]	Loss: 1.8637	LR: 0.100000
Training Epoch: 6 [18304/49812]	Loss: 1.5765	LR: 0.100000
Training Epoch: 6 [18368/49812]	Loss: 1.7886	LR: 0.100000
Training Epoch: 6 [18432/49812]	Loss: 1.7563	LR: 0.100000
Training Epoch: 6 [18496/49812]	Loss: 1.4083	LR: 0.100000
Training Epoch: 6 [18560/49812]	Loss: 1.4874	LR: 0.100000
Training Epoch: 6 [18624/49812]	Loss: 1.6025	LR: 0.100000
Training Epoch: 6 [18688/49812]	Loss: 1.4360	LR: 0.100000
Training Epoch: 6 [18752/49812]	Loss: 1.3462	LR: 0.100000
Training Epoch: 6 [18816/49812]	Loss: 1.4288	LR: 0.100000
Training Epoch: 6 [18880/49812]	Loss: 1.4748	LR: 0.100000
Training Epoch: 6 [18944/49812]	Loss: 1.5911	LR: 0.100000
Training Epoch: 6 [19008/49812]	Loss: 1.5502	LR: 0.100000
Training Epoch: 6 [19072/49812]	Loss: 1.8592	LR: 0.100000
Training Epoch: 6 [19136/49812]	Loss: 1.7036	LR: 0.100000
Training Epoch: 6 [19200/49812]	Loss: 1.6092	LR: 0.100000
Training Epoch: 6 [19264/49812]	Loss: 1.4697	LR: 0.100000
Training Epoch: 6 [19328/49812]	Loss: 1.3397	LR: 0.100000
Training Epoch: 6 [19392/49812]	Loss: 1.3893	LR: 0.100000
Training Epoch: 6 [19456/49812]	Loss: 1.2230	LR: 0.100000
Training Epoch: 6 [19520/49812]	Loss: 1.7111	LR: 0.100000
Training Epoch: 6 [19584/49812]	Loss: 1.4311	LR: 0.100000
Training Epoch: 6 [19648/49812]	Loss: 1.8052	LR: 0.100000
Training Epoch: 6 [19712/49812]	Loss: 1.5009	LR: 0.100000
Training Epoch: 6 [19776/49812]	Loss: 1.4204	LR: 0.100000
Training Epoch: 6 [19840/49812]	Loss: 1.4433	LR: 0.100000
Training Epoch: 6 [19904/49812]	Loss: 1.6842	LR: 0.100000
Training Epoch: 6 [19968/49812]	Loss: 1.3134	LR: 0.100000
Training Epoch: 6 [20032/49812]	Loss: 1.7791	LR: 0.100000
Training Epoch: 6 [20096/49812]	Loss: 1.6236	LR: 0.100000
Training Epoch: 6 [20160/49812]	Loss: 1.3562	LR: 0.100000
Training Epoch: 6 [20224/49812]	Loss: 1.5837	LR: 0.100000
Training Epoch: 6 [20288/49812]	Loss: 1.8678	LR: 0.100000
Training Epoch: 6 [20352/49812]	Loss: 1.6239	LR: 0.100000
Training Epoch: 6 [20416/49812]	Loss: 1.9175	LR: 0.100000
Training Epoch: 6 [20480/49812]	Loss: 1.3999	LR: 0.100000
Training Epoch: 6 [20544/49812]	Loss: 1.6438	LR: 0.100000
Training Epoch: 6 [20608/49812]	Loss: 1.5970	LR: 0.100000
Training Epoch: 6 [20672/49812]	Loss: 1.6537	LR: 0.100000
Training Epoch: 6 [20736/49812]	Loss: 1.7429	LR: 0.100000
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Training Epoch: 6 [20864/49812]	Loss: 1.8391	LR: 0.100000
Training Epoch: 6 [20928/49812]	Loss: 1.4401	LR: 0.100000
Training Epoch: 6 [20992/49812]	Loss: 1.4556	LR: 0.100000
Training Epoch: 6 [21056/49812]	Loss: 1.6398	LR: 0.100000
Training Epoch: 6 [21120/49812]	Loss: 1.6310	LR: 0.100000
Training Epoch: 6 [21184/49812]	Loss: 1.7197	LR: 0.100000
Training Epoch: 6 [21248/49812]	Loss: 1.5435	LR: 0.100000
Training Epoch: 6 [21312/49812]	Loss: 1.7601	LR: 0.100000
Training Epoch: 6 [21376/49812]	Loss: 1.7225	LR: 0.100000
Training Epoch: 6 [21440/49812]	Loss: 1.6418	LR: 0.100000
Training Epoch: 6 [21504/49812]	Loss: 1.6751	LR: 0.100000
Training Epoch: 6 [21568/49812]	Loss: 1.7442	LR: 0.100000
Training Epoch: 6 [21632/49812]	Loss: 1.5450	LR: 0.100000
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Training Epoch: 6 [21760/49812]	Loss: 1.6062	LR: 0.100000
Training Epoch: 6 [21824/49812]	Loss: 1.6739	LR: 0.100000
Training Epoch: 6 [21888/49812]	Loss: 1.5634	LR: 0.100000
Training Epoch: 6 [21952/49812]	Loss: 1.8106	LR: 0.100000
Training Epoch: 6 [22016/49812]	Loss: 1.5393	LR: 0.100000
Training Epoch: 6 [22080/49812]	Loss: 1.6506	LR: 0.100000
Training Epoch: 6 [22144/49812]	Loss: 1.6275	LR: 0.100000
Training Epoch: 6 [22208/49812]	Loss: 1.8481	LR: 0.100000
Training Epoch: 6 [22272/49812]	Loss: 1.6255	LR: 0.100000
Training Epoch: 6 [22336/49812]	Loss: 1.7114	LR: 0.100000
Training Epoch: 6 [22400/49812]	Loss: 1.3767	LR: 0.100000
Training Epoch: 6 [22464/49812]	Loss: 1.6893	LR: 0.100000
Training Epoch: 6 [22528/49812]	Loss: 1.9079	LR: 0.100000
Training Epoch: 6 [22592/49812]	Loss: 1.5869	LR: 0.100000
Training Epoch: 6 [22656/49812]	Loss: 2.1485	LR: 0.100000
Training Epoch: 6 [22720/49812]	Loss: 1.3924	LR: 0.100000
Training Epoch: 6 [22784/49812]	Loss: 1.6641	LR: 0.100000
Training Epoch: 6 [22848/49812]	Loss: 1.4745	LR: 0.100000
Training Epoch: 6 [22912/49812]	Loss: 1.6609	LR: 0.100000
Training Epoch: 6 [22976/49812]	Loss: 1.4919	LR: 0.100000
Training Epoch: 6 [23040/49812]	Loss: 1.3105	LR: 0.100000
Training Epoch: 6 [23104/49812]	Loss: 1.4424	LR: 0.100000
Training Epoch: 6 [23168/49812]	Loss: 1.6353	LR: 0.100000
Training Epoch: 6 [23232/49812]	Loss: 1.7734	LR: 0.100000
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Training Epoch: 6 [23360/49812]	Loss: 1.3403	LR: 0.100000
Training Epoch: 6 [23424/49812]	Loss: 1.6112	LR: 0.100000
Training Epoch: 6 [23488/49812]	Loss: 1.5587	LR: 0.100000
Training Epoch: 6 [23552/49812]	Loss: 1.3722	LR: 0.100000
Training Epoch: 6 [23616/49812]	Loss: 1.4582	LR: 0.100000
Training Epoch: 6 [23680/49812]	Loss: 1.6180	LR: 0.100000
Training Epoch: 6 [23744/49812]	Loss: 1.4073	LR: 0.100000
Training Epoch: 6 [23808/49812]	Loss: 1.6566	LR: 0.100000
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Training Epoch: 6 [23936/49812]	Loss: 1.7580	LR: 0.100000
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Training Epoch: 6 [24064/49812]	Loss: 1.2816	LR: 0.100000
Training Epoch: 6 [24128/49812]	Loss: 1.4701	LR: 0.100000
Training Epoch: 6 [24192/49812]	Loss: 1.3338	LR: 0.100000
Training Epoch: 6 [24256/49812]	Loss: 1.4785	LR: 0.100000
Training Epoch: 6 [24320/49812]	Loss: 1.4951	LR: 0.100000
Training Epoch: 6 [24384/49812]	Loss: 1.6142	LR: 0.100000
Training Epoch: 6 [24448/49812]	Loss: 1.5589	LR: 0.100000
Training Epoch: 6 [24512/49812]	Loss: 1.4626	LR: 0.100000
Training Epoch: 6 [24576/49812]	Loss: 1.5317	LR: 0.100000
Training Epoch: 6 [24640/49812]	Loss: 1.5683	LR: 0.100000
Training Epoch: 6 [24704/49812]	Loss: 1.8180	LR: 0.100000
Training Epoch: 6 [24768/49812]	Loss: 1.3946	LR: 0.100000
Training Epoch: 6 [24832/49812]	Loss: 1.6017	LR: 0.100000
Training Epoch: 6 [24896/49812]	Loss: 1.8482	LR: 0.100000
Training Epoch: 6 [24960/49812]	Loss: 1.6071	LR: 0.100000
Training Epoch: 6 [25024/49812]	Loss: 1.6477	LR: 0.100000
Training Epoch: 6 [25088/49812]	Loss: 1.5901	LR: 0.100000
Training Epoch: 6 [25152/49812]	Loss: 1.5639	LR: 0.100000
Training Epoch: 6 [25216/49812]	Loss: 1.4799	LR: 0.100000
Training Epoch: 6 [25280/49812]	Loss: 1.5826	LR: 0.100000
Training Epoch: 6 [25344/49812]	Loss: 1.3179	LR: 0.100000
Training Epoch: 6 [25408/49812]	Loss: 1.6607	LR: 0.100000
Training Epoch: 6 [25472/49812]	Loss: 1.6813	LR: 0.100000
Training Epoch: 6 [25536/49812]	Loss: 1.4447	LR: 0.100000
Training Epoch: 6 [25600/49812]	Loss: 1.8237	LR: 0.100000
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Training Epoch: 6 [25728/49812]	Loss: 1.3087	LR: 0.100000
Training Epoch: 6 [25792/49812]	Loss: 1.6213	LR: 0.100000
Training Epoch: 6 [25856/49812]	Loss: 1.7409	LR: 0.100000
Training Epoch: 6 [25920/49812]	Loss: 1.6499	LR: 0.100000
Training Epoch: 6 [25984/49812]	Loss: 1.3873	LR: 0.100000
Training Epoch: 6 [26048/49812]	Loss: 1.8541	LR: 0.100000
Training Epoch: 6 [26112/49812]	Loss: 1.6529	LR: 0.100000
Training Epoch: 6 [26176/49812]	Loss: 1.6074	LR: 0.100000
Training Epoch: 6 [26240/49812]	Loss: 1.5932	LR: 0.100000
Training Epoch: 6 [26304/49812]	Loss: 1.2209	LR: 0.100000
Training Epoch: 6 [26368/49812]	Loss: 1.5805	LR: 0.100000
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Training Epoch: 6 [26496/49812]	Loss: 1.2108	LR: 0.100000
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Training Epoch: 6 [26944/49812]	Loss: 1.4820	LR: 0.100000
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Training Epoch: 6 [27072/49812]	Loss: 1.5373	LR: 0.100000
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Training Epoch: 6 [27328/49812]	Loss: 1.5744	LR: 0.100000
Training Epoch: 6 [27392/49812]	Loss: 1.6175	LR: 0.100000
Training Epoch: 6 [27456/49812]	Loss: 1.3302	LR: 0.100000
Training Epoch: 6 [27520/49812]	Loss: 1.3757	LR: 0.100000
Training Epoch: 6 [27584/49812]	Loss: 1.6299	LR: 0.100000
Training Epoch: 6 [27648/49812]	Loss: 1.7240	LR: 0.100000
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Training Epoch: 6 [27776/49812]	Loss: 1.8852	LR: 0.100000
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Training Epoch: 6 [27904/49812]	Loss: 1.5888	LR: 0.100000
Training Epoch: 6 [27968/49812]	Loss: 1.5472	LR: 0.100000
Training Epoch: 6 [28032/49812]	Loss: 1.5732	LR: 0.100000
Training Epoch: 6 [28096/49812]	Loss: 1.3781	LR: 0.100000
Training Epoch: 6 [28160/49812]	Loss: 1.8010	LR: 0.100000
Training Epoch: 6 [28224/49812]	Loss: 1.6576	LR: 0.100000
Training Epoch: 6 [28288/49812]	Loss: 1.4990	LR: 0.100000
Training Epoch: 6 [28352/49812]	Loss: 1.5481	LR: 0.100000
Training Epoch: 6 [28416/49812]	Loss: 1.5987	LR: 0.100000
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Training Epoch: 6 [28544/49812]	Loss: 1.8107	LR: 0.100000
Training Epoch: 6 [28608/49812]	Loss: 1.7844	LR: 0.100000
Training Epoch: 6 [28672/49812]	Loss: 1.2782	LR: 0.100000
Training Epoch: 6 [28736/49812]	Loss: 1.4830	LR: 0.100000
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Training Epoch: 6 [28864/49812]	Loss: 1.6302	LR: 0.100000
Training Epoch: 6 [28928/49812]	Loss: 1.6459	LR: 0.100000
Training Epoch: 6 [28992/49812]	Loss: 1.2075	LR: 0.100000
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Training Epoch: 6 [29312/49812]	Loss: 1.9785	LR: 0.100000
Training Epoch: 6 [29376/49812]	Loss: 1.7226	LR: 0.100000
Training Epoch: 6 [29440/49812]	Loss: 1.6388	LR: 0.100000
Training Epoch: 6 [29504/49812]	Loss: 1.7558	LR: 0.100000
Training Epoch: 6 [29568/49812]	Loss: 1.6645	LR: 0.100000
Training Epoch: 6 [29632/49812]	Loss: 1.6487	LR: 0.100000
Training Epoch: 6 [29696/49812]	Loss: 1.7328	LR: 0.100000
Training Epoch: 6 [29760/49812]	Loss: 1.6350	LR: 0.100000
Training Epoch: 6 [29824/49812]	Loss: 1.4699	LR: 0.100000
Training Epoch: 6 [29888/49812]	Loss: 1.7091	LR: 0.100000
Training Epoch: 6 [29952/49812]	Loss: 1.5738	LR: 0.100000
Training Epoch: 6 [30016/49812]	Loss: 1.6999	LR: 0.100000
Training Epoch: 6 [30080/49812]	Loss: 1.7422	LR: 0.100000
Training Epoch: 6 [30144/49812]	Loss: 1.3542	LR: 0.100000
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Training Epoch: 6 [30272/49812]	Loss: 1.6137	LR: 0.100000
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Training Epoch: 6 [30656/49812]	Loss: 1.5677	LR: 0.100000
Training Epoch: 6 [30720/49812]	Loss: 1.4161	LR: 0.100000
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Training Epoch: 6 [30976/49812]	Loss: 1.4739	LR: 0.100000
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Training Epoch: 6 [31168/49812]	Loss: 1.5551	LR: 0.100000
Training Epoch: 6 [31232/49812]	Loss: 1.6028	LR: 0.100000
Training Epoch: 6 [31296/49812]	Loss: 1.5014	LR: 0.100000
Training Epoch: 6 [31360/49812]	Loss: 1.4836	LR: 0.100000
Training Epoch: 6 [31424/49812]	Loss: 1.6991	LR: 0.100000
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Training Epoch: 6 [32064/49812]	Loss: 1.8034	LR: 0.100000
Training Epoch: 6 [32128/49812]	Loss: 1.5173	LR: 0.100000
Training Epoch: 6 [32192/49812]	Loss: 1.4357	LR: 0.100000
Training Epoch: 6 [32256/49812]	Loss: 1.6093	LR: 0.100000
Training Epoch: 6 [32320/49812]	Loss: 1.6315	LR: 0.100000
Training Epoch: 6 [32384/49812]	Loss: 1.7248	LR: 0.100000
Training Epoch: 6 [32448/49812]	Loss: 1.5086	LR: 0.100000
Training Epoch: 6 [32512/49812]	Loss: 1.6536	LR: 0.100000
Training Epoch: 6 [32576/49812]	Loss: 1.6858	LR: 0.100000
Training Epoch: 6 [32640/49812]	Loss: 1.3121	LR: 0.100000
Training Epoch: 6 [32704/49812]	Loss: 1.7650	LR: 0.100000
Training Epoch: 6 [32768/49812]	Loss: 1.4284	LR: 0.100000
Training Epoch: 6 [32832/49812]	Loss: 1.5363	LR: 0.100000
Training Epoch: 6 [32896/49812]	Loss: 1.8232	LR: 0.100000
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Training Epoch: 6 [33024/49812]	Loss: 1.5263	LR: 0.100000
Training Epoch: 6 [33088/49812]	Loss: 1.4000	LR: 0.100000
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Training Epoch: 6 [33216/49812]	Loss: 1.8729	LR: 0.100000
Training Epoch: 6 [33280/49812]	Loss: 1.4699	LR: 0.100000
Training Epoch: 6 [33344/49812]	Loss: 1.5761	LR: 0.100000
Training Epoch: 6 [33408/49812]	Loss: 1.3872	LR: 0.100000
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Training Epoch: 6 [33536/49812]	Loss: 1.6855	LR: 0.100000
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Training Epoch: 6 [33792/49812]	Loss: 1.8046	LR: 0.100000
Training Epoch: 6 [33856/49812]	Loss: 1.4017	LR: 0.100000
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Training Epoch: 6 [33984/49812]	Loss: 1.4412	LR: 0.100000
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Training Epoch: 6 [34112/49812]	Loss: 1.4989	LR: 0.100000
Training Epoch: 6 [34176/49812]	Loss: 1.3513	LR: 0.100000
Training Epoch: 6 [34240/49812]	Loss: 1.2535	LR: 0.100000
Training Epoch: 6 [34304/49812]	Loss: 1.3480	LR: 0.100000
Training Epoch: 6 [34368/49812]	Loss: 1.8639	LR: 0.100000
Training Epoch: 6 [34432/49812]	Loss: 1.7143	LR: 0.100000
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Epoch 6 - Average Train Loss: 1.5760, Train Accuracy: 0.5009
Epoch 6 training time consumed: 265.51s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0283, Accuracy: 0.4680, Time consumed:17.13s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-6-best.pth
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Training Epoch: 7 [3840/49812]	Loss: 1.3601	LR: 0.100000
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Training Epoch: 7 [4480/49812]	Loss: 1.6826	LR: 0.100000
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Training Epoch: 7 [5376/49812]	Loss: 1.4132	LR: 0.100000
Training Epoch: 7 [5440/49812]	Loss: 1.5686	LR: 0.100000
Training Epoch: 7 [5504/49812]	Loss: 2.0116	LR: 0.100000
Training Epoch: 7 [5568/49812]	Loss: 1.5275	LR: 0.100000
Training Epoch: 7 [5632/49812]	Loss: 1.6456	LR: 0.100000
Training Epoch: 7 [5696/49812]	Loss: 1.5853	LR: 0.100000
Training Epoch: 7 [5760/49812]	Loss: 1.6159	LR: 0.100000
Training Epoch: 7 [5824/49812]	Loss: 1.7832	LR: 0.100000
Training Epoch: 7 [5888/49812]	Loss: 1.5233	LR: 0.100000
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Training Epoch: 7 [6080/49812]	Loss: 1.4894	LR: 0.100000
Training Epoch: 7 [6144/49812]	Loss: 1.6110	LR: 0.100000
Training Epoch: 7 [6208/49812]	Loss: 1.8272	LR: 0.100000
Training Epoch: 7 [6272/49812]	Loss: 1.4213	LR: 0.100000
Training Epoch: 7 [6336/49812]	Loss: 1.4582	LR: 0.100000
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Training Epoch: 7 [6464/49812]	Loss: 1.8198	LR: 0.100000
Training Epoch: 7 [6528/49812]	Loss: 1.6684	LR: 0.100000
Training Epoch: 7 [6592/49812]	Loss: 1.7398	LR: 0.100000
Training Epoch: 7 [6656/49812]	Loss: 1.3644	LR: 0.100000
Training Epoch: 7 [6720/49812]	Loss: 1.6730	LR: 0.100000
Training Epoch: 7 [6784/49812]	Loss: 1.5097	LR: 0.100000
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Training Epoch: 7 [6912/49812]	Loss: 1.8250	LR: 0.100000
Training Epoch: 7 [6976/49812]	Loss: 1.5068	LR: 0.100000
Training Epoch: 7 [7040/49812]	Loss: 1.4886	LR: 0.100000
Training Epoch: 7 [7104/49812]	Loss: 1.4609	LR: 0.100000
Training Epoch: 7 [7168/49812]	Loss: 1.6989	LR: 0.100000
Training Epoch: 7 [7232/49812]	Loss: 1.3136	LR: 0.100000
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Training Epoch: 7 [7360/49812]	Loss: 1.5904	LR: 0.100000
Training Epoch: 7 [7424/49812]	Loss: 1.4415	LR: 0.100000
Training Epoch: 7 [7488/49812]	Loss: 1.4688	LR: 0.100000
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Training Epoch: 7 [7616/49812]	Loss: 1.3474	LR: 0.100000
Training Epoch: 7 [7680/49812]	Loss: 1.3718	LR: 0.100000
Training Epoch: 7 [7744/49812]	Loss: 1.7132	LR: 0.100000
Training Epoch: 7 [7808/49812]	Loss: 1.4166	LR: 0.100000
Training Epoch: 7 [7872/49812]	Loss: 1.7236	LR: 0.100000
Training Epoch: 7 [7936/49812]	Loss: 1.4064	LR: 0.100000
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Training Epoch: 7 [8128/49812]	Loss: 1.5563	LR: 0.100000
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Training Epoch: 7 [8256/49812]	Loss: 1.4052	LR: 0.100000
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Training Epoch: 7 [8448/49812]	Loss: 1.6990	LR: 0.100000
Training Epoch: 7 [8512/49812]	Loss: 1.6062	LR: 0.100000
Training Epoch: 7 [8576/49812]	Loss: 1.3230	LR: 0.100000
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Training Epoch: 7 [8704/49812]	Loss: 1.3158	LR: 0.100000
Training Epoch: 7 [8768/49812]	Loss: 1.3182	LR: 0.100000
Training Epoch: 7 [8832/49812]	Loss: 1.3524	LR: 0.100000
Training Epoch: 7 [8896/49812]	Loss: 1.4787	LR: 0.100000
Training Epoch: 7 [8960/49812]	Loss: 1.6862	LR: 0.100000
Training Epoch: 7 [9024/49812]	Loss: 1.4967	LR: 0.100000
Training Epoch: 7 [9088/49812]	Loss: 1.7536	LR: 0.100000
Training Epoch: 7 [9152/49812]	Loss: 1.6030	LR: 0.100000
Training Epoch: 7 [9216/49812]	Loss: 1.4178	LR: 0.100000
Training Epoch: 7 [9280/49812]	Loss: 1.3378	LR: 0.100000
Training Epoch: 7 [9344/49812]	Loss: 1.6751	LR: 0.100000
Training Epoch: 7 [9408/49812]	Loss: 1.2775	LR: 0.100000
Training Epoch: 7 [9472/49812]	Loss: 1.3628	LR: 0.100000
Training Epoch: 7 [9536/49812]	Loss: 1.3877	LR: 0.100000
Training Epoch: 7 [9600/49812]	Loss: 1.7228	LR: 0.100000
Training Epoch: 7 [9664/49812]	Loss: 1.6176	LR: 0.100000
Training Epoch: 7 [9728/49812]	Loss: 2.0146	LR: 0.100000
Training Epoch: 7 [9792/49812]	Loss: 1.5278	LR: 0.100000
Training Epoch: 7 [9856/49812]	Loss: 1.4771	LR: 0.100000
Training Epoch: 7 [9920/49812]	Loss: 1.3734	LR: 0.100000
Training Epoch: 7 [9984/49812]	Loss: 1.6549	LR: 0.100000
Training Epoch: 7 [10048/49812]	Loss: 1.4773	LR: 0.100000
Training Epoch: 7 [10112/49812]	Loss: 1.6222	LR: 0.100000
Training Epoch: 7 [10176/49812]	Loss: 1.5825	LR: 0.100000
Training Epoch: 7 [10240/49812]	Loss: 1.5036	LR: 0.100000
Training Epoch: 7 [10304/49812]	Loss: 1.6028	LR: 0.100000
Training Epoch: 7 [10368/49812]	Loss: 1.6958	LR: 0.100000
Training Epoch: 7 [10432/49812]	Loss: 1.3441	LR: 0.100000
Training Epoch: 7 [10496/49812]	Loss: 1.5282	LR: 0.100000
Training Epoch: 7 [10560/49812]	Loss: 1.4906	LR: 0.100000
Training Epoch: 7 [10624/49812]	Loss: 1.5015	LR: 0.100000
Training Epoch: 7 [10688/49812]	Loss: 1.4363	LR: 0.100000
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Training Epoch: 7 [10816/49812]	Loss: 1.7640	LR: 0.100000
Training Epoch: 7 [10880/49812]	Loss: 1.3510	LR: 0.100000
Training Epoch: 7 [10944/49812]	Loss: 1.2754	LR: 0.100000
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Training Epoch: 7 [11136/49812]	Loss: 1.8266	LR: 0.100000
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Training Epoch: 7 [11264/49812]	Loss: 1.4003	LR: 0.100000
Training Epoch: 7 [11328/49812]	Loss: 1.5845	LR: 0.100000
Training Epoch: 7 [11392/49812]	Loss: 1.5256	LR: 0.100000
Training Epoch: 7 [11456/49812]	Loss: 1.5348	LR: 0.100000
Training Epoch: 7 [11520/49812]	Loss: 1.4472	LR: 0.100000
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Training Epoch: 7 [11712/49812]	Loss: 1.5445	LR: 0.100000
Training Epoch: 7 [11776/49812]	Loss: 1.6241	LR: 0.100000
Training Epoch: 7 [11840/49812]	Loss: 1.4503	LR: 0.100000
Training Epoch: 7 [11904/49812]	Loss: 1.3373	LR: 0.100000
Training Epoch: 7 [11968/49812]	Loss: 1.6943	LR: 0.100000
Training Epoch: 7 [12032/49812]	Loss: 1.5245	LR: 0.100000
Training Epoch: 7 [12096/49812]	Loss: 1.2875	LR: 0.100000
Training Epoch: 7 [12160/49812]	Loss: 1.6108	LR: 0.100000
Training Epoch: 7 [12224/49812]	Loss: 1.6620	LR: 0.100000
Training Epoch: 7 [12288/49812]	Loss: 1.6148	LR: 0.100000
Training Epoch: 7 [12352/49812]	Loss: 1.5571	LR: 0.100000
Training Epoch: 7 [12416/49812]	Loss: 1.3336	LR: 0.100000
Training Epoch: 7 [12480/49812]	Loss: 1.5421	LR: 0.100000
Training Epoch: 7 [12544/49812]	Loss: 1.4737	LR: 0.100000
Training Epoch: 7 [12608/49812]	Loss: 1.5827	LR: 0.100000
Training Epoch: 7 [12672/49812]	Loss: 1.4601	LR: 0.100000
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Training Epoch: 7 [12800/49812]	Loss: 1.4776	LR: 0.100000
Training Epoch: 7 [12864/49812]	Loss: 1.7042	LR: 0.100000
Training Epoch: 7 [12928/49812]	Loss: 1.3568	LR: 0.100000
Training Epoch: 7 [12992/49812]	Loss: 1.6797	LR: 0.100000
Training Epoch: 7 [13056/49812]	Loss: 1.7484	LR: 0.100000
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Training Epoch: 7 [13184/49812]	Loss: 1.4095	LR: 0.100000
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Training Epoch: 7 [13312/49812]	Loss: 1.5980	LR: 0.100000
Training Epoch: 7 [13376/49812]	Loss: 1.6096	LR: 0.100000
Training Epoch: 7 [13440/49812]	Loss: 1.3996	LR: 0.100000
Training Epoch: 7 [13504/49812]	Loss: 1.3595	LR: 0.100000
Training Epoch: 7 [13568/49812]	Loss: 1.4430	LR: 0.100000
Training Epoch: 7 [13632/49812]	Loss: 1.5026	LR: 0.100000
Training Epoch: 7 [13696/49812]	Loss: 1.3523	LR: 0.100000
Training Epoch: 7 [13760/49812]	Loss: 1.5810	LR: 0.100000
Training Epoch: 7 [13824/49812]	Loss: 1.5522	LR: 0.100000
Training Epoch: 7 [13888/49812]	Loss: 1.9745	LR: 0.100000
Training Epoch: 7 [13952/49812]	Loss: 1.4225	LR: 0.100000
Training Epoch: 7 [14016/49812]	Loss: 1.6272	LR: 0.100000
Training Epoch: 7 [14080/49812]	Loss: 1.3278	LR: 0.100000
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Training Epoch: 7 [14272/49812]	Loss: 1.3818	LR: 0.100000
Training Epoch: 7 [14336/49812]	Loss: 1.8746	LR: 0.100000
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Training Epoch: 7 [14464/49812]	Loss: 1.6686	LR: 0.100000
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Training Epoch: 7 [14784/49812]	Loss: 1.7409	LR: 0.100000
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Training Epoch: 7 [14976/49812]	Loss: 1.6894	LR: 0.100000
Training Epoch: 7 [15040/49812]	Loss: 1.5427	LR: 0.100000
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Training Epoch: 7 [15232/49812]	Loss: 1.6308	LR: 0.100000
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Training Epoch: 7 [15360/49812]	Loss: 1.4601	LR: 0.100000
Training Epoch: 7 [15424/49812]	Loss: 1.5807	LR: 0.100000
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Training Epoch: 7 [15680/49812]	Loss: 1.5465	LR: 0.100000
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Training Epoch: 7 [15808/49812]	Loss: 1.7982	LR: 0.100000
Training Epoch: 7 [15872/49812]	Loss: 1.3456	LR: 0.100000
Training Epoch: 7 [15936/49812]	Loss: 1.4398	LR: 0.100000
Training Epoch: 7 [16000/49812]	Loss: 1.3530	LR: 0.100000
Training Epoch: 7 [16064/49812]	Loss: 1.8087	LR: 0.100000
Training Epoch: 7 [16128/49812]	Loss: 1.6119	LR: 0.100000
Training Epoch: 7 [16192/49812]	Loss: 1.5794	LR: 0.100000
Training Epoch: 7 [16256/49812]	Loss: 1.6137	LR: 0.100000
Training Epoch: 7 [16320/49812]	Loss: 1.2606	LR: 0.100000
Training Epoch: 7 [16384/49812]	Loss: 1.7240	LR: 0.100000
Training Epoch: 7 [16448/49812]	Loss: 1.1626	LR: 0.100000
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Training Epoch: 7 [16832/49812]	Loss: 1.2413	LR: 0.100000
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Training Epoch: 7 [16960/49812]	Loss: 1.4871	LR: 0.100000
Training Epoch: 7 [17024/49812]	Loss: 1.4777	LR: 0.100000
Training Epoch: 7 [17088/49812]	Loss: 1.2196	LR: 0.100000
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Training Epoch: 7 [17344/49812]	Loss: 1.4670	LR: 0.100000
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Training Epoch: 7 [17536/49812]	Loss: 1.2290	LR: 0.100000
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Training Epoch: 7 [17664/49812]	Loss: 1.5688	LR: 0.100000
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Training Epoch: 7 [17792/49812]	Loss: 1.4417	LR: 0.100000
Training Epoch: 7 [17856/49812]	Loss: 1.2109	LR: 0.100000
Training Epoch: 7 [17920/49812]	Loss: 1.6094	LR: 0.100000
Training Epoch: 7 [17984/49812]	Loss: 1.5985	LR: 0.100000
Training Epoch: 7 [18048/49812]	Loss: 1.5545	LR: 0.100000
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Training Epoch: 7 [18176/49812]	Loss: 1.4596	LR: 0.100000
Training Epoch: 7 [18240/49812]	Loss: 1.4403	LR: 0.100000
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Training Epoch: 7 [18368/49812]	Loss: 1.4966	LR: 0.100000
Training Epoch: 7 [18432/49812]	Loss: 1.7785	LR: 0.100000
Training Epoch: 7 [18496/49812]	Loss: 1.4929	LR: 0.100000
Training Epoch: 7 [18560/49812]	Loss: 1.6193	LR: 0.100000
Training Epoch: 7 [18624/49812]	Loss: 1.8384	LR: 0.100000
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Training Epoch: 7 [18752/49812]	Loss: 1.3658	LR: 0.100000
Training Epoch: 7 [18816/49812]	Loss: 1.5961	LR: 0.100000
Training Epoch: 7 [18880/49812]	Loss: 1.3255	LR: 0.100000
Training Epoch: 7 [18944/49812]	Loss: 1.2198	LR: 0.100000
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Training Epoch: 7 [19072/49812]	Loss: 1.7586	LR: 0.100000
Training Epoch: 7 [19136/49812]	Loss: 1.4266	LR: 0.100000
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Training Epoch: 7 [19328/49812]	Loss: 1.7626	LR: 0.100000
Training Epoch: 7 [19392/49812]	Loss: 1.4584	LR: 0.100000
Training Epoch: 7 [19456/49812]	Loss: 1.6751	LR: 0.100000
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Training Epoch: 7 [19584/49812]	Loss: 1.5229	LR: 0.100000
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Training Epoch: 7 [19776/49812]	Loss: 1.4591	LR: 0.100000
Training Epoch: 7 [19840/49812]	Loss: 1.7212	LR: 0.100000
Training Epoch: 7 [19904/49812]	Loss: 1.3995	LR: 0.100000
Training Epoch: 7 [19968/49812]	Loss: 1.4245	LR: 0.100000
Training Epoch: 7 [20032/49812]	Loss: 1.4253	LR: 0.100000
Training Epoch: 7 [20096/49812]	Loss: 1.4093	LR: 0.100000
Training Epoch: 7 [20160/49812]	Loss: 1.3354	LR: 0.100000
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Training Epoch: 7 [20288/49812]	Loss: 1.6204	LR: 0.100000
Training Epoch: 7 [20352/49812]	Loss: 1.4061	LR: 0.100000
Training Epoch: 7 [20416/49812]	Loss: 1.5593	LR: 0.100000
Training Epoch: 7 [20480/49812]	Loss: 1.3718	LR: 0.100000
Training Epoch: 7 [20544/49812]	Loss: 1.3132	LR: 0.100000
Training Epoch: 7 [20608/49812]	Loss: 1.5954	LR: 0.100000
Training Epoch: 7 [20672/49812]	Loss: 1.3051	LR: 0.100000
Training Epoch: 7 [20736/49812]	Loss: 1.8111	LR: 0.100000
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Training Epoch: 7 [20864/49812]	Loss: 1.4544	LR: 0.100000
Training Epoch: 7 [20928/49812]	Loss: 1.4140	LR: 0.100000
Training Epoch: 7 [20992/49812]	Loss: 1.2317	LR: 0.100000
Training Epoch: 7 [21056/49812]	Loss: 1.2471	LR: 0.100000
Training Epoch: 7 [21120/49812]	Loss: 1.6461	LR: 0.100000
Training Epoch: 7 [21184/49812]	Loss: 1.6539	LR: 0.100000
Training Epoch: 7 [21248/49812]	Loss: 1.8384	LR: 0.100000
Training Epoch: 7 [21312/49812]	Loss: 1.2691	LR: 0.100000
Training Epoch: 7 [21376/49812]	Loss: 1.4787	LR: 0.100000
Training Epoch: 7 [21440/49812]	Loss: 1.6367	LR: 0.100000
Training Epoch: 7 [21504/49812]	Loss: 1.6558	LR: 0.100000
Training Epoch: 7 [21568/49812]	Loss: 1.4023	LR: 0.100000
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Training Epoch: 7 [21696/49812]	Loss: 1.3384	LR: 0.100000
Training Epoch: 7 [21760/49812]	Loss: 1.5973	LR: 0.100000
Training Epoch: 7 [21824/49812]	Loss: 1.2438	LR: 0.100000
Training Epoch: 7 [21888/49812]	Loss: 1.6713	LR: 0.100000
Training Epoch: 7 [21952/49812]	Loss: 1.7616	LR: 0.100000
Training Epoch: 7 [22016/49812]	Loss: 1.5086	LR: 0.100000
Training Epoch: 7 [22080/49812]	Loss: 1.4242	LR: 0.100000
Training Epoch: 7 [22144/49812]	Loss: 1.4827	LR: 0.100000
Training Epoch: 7 [22208/49812]	Loss: 1.9530	LR: 0.100000
Training Epoch: 7 [22272/49812]	Loss: 1.1641	LR: 0.100000
Training Epoch: 7 [22336/49812]	Loss: 1.6983	LR: 0.100000
Training Epoch: 7 [22400/49812]	Loss: 1.6175	LR: 0.100000
Training Epoch: 7 [22464/49812]	Loss: 1.7950	LR: 0.100000
Training Epoch: 7 [22528/49812]	Loss: 1.4678	LR: 0.100000
Training Epoch: 7 [22592/49812]	Loss: 1.4871	LR: 0.100000
Training Epoch: 7 [22656/49812]	Loss: 1.1994	LR: 0.100000
Training Epoch: 7 [22720/49812]	Loss: 1.5103	LR: 0.100000
Training Epoch: 7 [22784/49812]	Loss: 1.6173	LR: 0.100000
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Training Epoch: 7 [22912/49812]	Loss: 1.6382	LR: 0.100000
Training Epoch: 7 [22976/49812]	Loss: 1.8134	LR: 0.100000
Training Epoch: 7 [23040/49812]	Loss: 1.2084	LR: 0.100000
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Training Epoch: 7 [23168/49812]	Loss: 1.6653	LR: 0.100000
Training Epoch: 7 [23232/49812]	Loss: 1.3579	LR: 0.100000
Training Epoch: 7 [23296/49812]	Loss: 1.6241	LR: 0.100000
Training Epoch: 7 [23360/49812]	Loss: 1.3821	LR: 0.100000
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Training Epoch: 7 [23488/49812]	Loss: 1.5585	LR: 0.100000
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Training Epoch: 7 [23744/49812]	Loss: 1.7188	LR: 0.100000
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Training Epoch: 7 [23936/49812]	Loss: 1.6061	LR: 0.100000
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Training Epoch: 7 [24192/49812]	Loss: 1.7683	LR: 0.100000
Training Epoch: 7 [24256/49812]	Loss: 1.7222	LR: 0.100000
Training Epoch: 7 [24320/49812]	Loss: 1.3829	LR: 0.100000
Training Epoch: 7 [24384/49812]	Loss: 1.4382	LR: 0.100000
Training Epoch: 7 [24448/49812]	Loss: 1.5338	LR: 0.100000
Training Epoch: 7 [24512/49812]	Loss: 1.5209	LR: 0.100000
Training Epoch: 7 [24576/49812]	Loss: 1.6206	LR: 0.100000
Training Epoch: 7 [24640/49812]	Loss: 1.5079	LR: 0.100000
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Training Epoch: 7 [24768/49812]	Loss: 1.6779	LR: 0.100000
Training Epoch: 7 [24832/49812]	Loss: 1.3637	LR: 0.100000
Training Epoch: 7 [24896/49812]	Loss: 1.7848	LR: 0.100000
Training Epoch: 7 [24960/49812]	Loss: 1.3107	LR: 0.100000
Training Epoch: 7 [25024/49812]	Loss: 1.5549	LR: 0.100000
Training Epoch: 7 [25088/49812]	Loss: 1.0142	LR: 0.100000
Training Epoch: 7 [25152/49812]	Loss: 1.6553	LR: 0.100000
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Training Epoch: 7 [25280/49812]	Loss: 1.2881	LR: 0.100000
Training Epoch: 7 [25344/49812]	Loss: 1.5911	LR: 0.100000
Training Epoch: 7 [25408/49812]	Loss: 1.2367	LR: 0.100000
Training Epoch: 7 [25472/49812]	Loss: 1.5435	LR: 0.100000
Training Epoch: 7 [25536/49812]	Loss: 1.5040	LR: 0.100000
Training Epoch: 7 [25600/49812]	Loss: 1.9351	LR: 0.100000
Training Epoch: 7 [25664/49812]	Loss: 1.6085	LR: 0.100000
Training Epoch: 7 [25728/49812]	Loss: 1.7001	LR: 0.100000
Training Epoch: 7 [25792/49812]	Loss: 1.6930	LR: 0.100000
Training Epoch: 7 [25856/49812]	Loss: 1.4172	LR: 0.100000
Training Epoch: 7 [25920/49812]	Loss: 1.8040	LR: 0.100000
Training Epoch: 7 [25984/49812]	Loss: 1.2350	LR: 0.100000
Training Epoch: 7 [26048/49812]	Loss: 1.6573	LR: 0.100000
Training Epoch: 7 [26112/49812]	Loss: 1.7043	LR: 0.100000
Training Epoch: 7 [26176/49812]	Loss: 1.4173	LR: 0.100000
Training Epoch: 7 [26240/49812]	Loss: 1.3751	LR: 0.100000
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Training Epoch: 7 [26368/49812]	Loss: 1.4992	LR: 0.100000
Training Epoch: 7 [26432/49812]	Loss: 1.2780	LR: 0.100000
Training Epoch: 7 [26496/49812]	Loss: 1.3352	LR: 0.100000
Training Epoch: 7 [26560/49812]	Loss: 1.4876	LR: 0.100000
Training Epoch: 7 [26624/49812]	Loss: 1.5171	LR: 0.100000
Training Epoch: 7 [26688/49812]	Loss: 1.1294	LR: 0.100000
Training Epoch: 7 [26752/49812]	Loss: 1.6061	LR: 0.100000
Training Epoch: 7 [26816/49812]	Loss: 1.6289	LR: 0.100000
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Training Epoch: 7 [26944/49812]	Loss: 1.5370	LR: 0.100000
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Training Epoch: 7 [27072/49812]	Loss: 1.3187	LR: 0.100000
Training Epoch: 7 [27136/49812]	Loss: 1.5023	LR: 0.100000
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Training Epoch: 7 [27392/49812]	Loss: 1.4837	LR: 0.100000
Training Epoch: 7 [27456/49812]	Loss: 1.3966	LR: 0.100000
Training Epoch: 7 [27520/49812]	Loss: 1.9938	LR: 0.100000
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Training Epoch: 7 [27648/49812]	Loss: 1.6613	LR: 0.100000
Training Epoch: 7 [27712/49812]	Loss: 1.7531	LR: 0.100000
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Training Epoch: 7 [27840/49812]	Loss: 1.5449	LR: 0.100000
Training Epoch: 7 [27904/49812]	Loss: 1.3520	LR: 0.100000
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Training Epoch: 7 [28032/49812]	Loss: 1.4120	LR: 0.100000
Training Epoch: 7 [28096/49812]	Loss: 1.4539	LR: 0.100000
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Training Epoch: 7 [28224/49812]	Loss: 1.4458	LR: 0.100000
Training Epoch: 7 [28288/49812]	Loss: 1.5557	LR: 0.100000
Training Epoch: 7 [28352/49812]	Loss: 1.2897	LR: 0.100000
Training Epoch: 7 [28416/49812]	Loss: 1.5379	LR: 0.100000
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Training Epoch: 7 [28544/49812]	Loss: 1.4026	LR: 0.100000
Training Epoch: 7 [28608/49812]	Loss: 1.7015	LR: 0.100000
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Training Epoch: 7 [28736/49812]	Loss: 1.5567	LR: 0.100000
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Training Epoch: 7 [28864/49812]	Loss: 1.2656	LR: 0.100000
Training Epoch: 7 [28928/49812]	Loss: 1.8456	LR: 0.100000
Training Epoch: 7 [28992/49812]	Loss: 1.3514	LR: 0.100000
Training Epoch: 7 [29056/49812]	Loss: 1.2331	LR: 0.100000
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Training Epoch: 7 [29184/49812]	Loss: 1.4720	LR: 0.100000
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Training Epoch: 7 [29312/49812]	Loss: 1.4343	LR: 0.100000
Training Epoch: 7 [29376/49812]	Loss: 1.5600	LR: 0.100000
Training Epoch: 7 [29440/49812]	Loss: 1.6124	LR: 0.100000
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Training Epoch: 7 [29568/49812]	Loss: 1.3581	LR: 0.100000
Training Epoch: 7 [29632/49812]	Loss: 1.7135	LR: 0.100000
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Training Epoch: 7 [29760/49812]	Loss: 1.7065	LR: 0.100000
Training Epoch: 7 [29824/49812]	Loss: 1.5199	LR: 0.100000
Training Epoch: 7 [29888/49812]	Loss: 1.9647	LR: 0.100000
Training Epoch: 7 [29952/49812]	Loss: 1.5380	LR: 0.100000
Training Epoch: 7 [30016/49812]	Loss: 1.3762	LR: 0.100000
Training Epoch: 7 [30080/49812]	Loss: 1.3184	LR: 0.100000
Training Epoch: 7 [30144/49812]	Loss: 1.5585	LR: 0.100000
Training Epoch: 7 [30208/49812]	Loss: 1.7577	LR: 0.100000
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Training Epoch: 7 [30592/49812]	Loss: 1.3125	LR: 0.100000
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Training Epoch: 7 [30720/49812]	Loss: 1.7861	LR: 0.100000
Training Epoch: 7 [30784/49812]	Loss: 1.4439	LR: 0.100000
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Training Epoch: 7 [30912/49812]	Loss: 1.3858	LR: 0.100000
Training Epoch: 7 [30976/49812]	Loss: 1.5146	LR: 0.100000
Training Epoch: 7 [31040/49812]	Loss: 1.3907	LR: 0.100000
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Training Epoch: 7 [31232/49812]	Loss: 1.2883	LR: 0.100000
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Training Epoch: 7 [31424/49812]	Loss: 1.3164	LR: 0.100000
Training Epoch: 7 [31488/49812]	Loss: 1.3272	LR: 0.100000
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Training Epoch: 7 [31744/49812]	Loss: 1.4752	LR: 0.100000
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Training Epoch: 7 [31872/49812]	Loss: 1.4784	LR: 0.100000
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Training Epoch: 7 [32192/49812]	Loss: 1.3284	LR: 0.100000
Training Epoch: 7 [32256/49812]	Loss: 1.6352	LR: 0.100000
Training Epoch: 7 [32320/49812]	Loss: 1.4940	LR: 0.100000
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Training Epoch: 7 [32448/49812]	Loss: 1.3525	LR: 0.100000
Training Epoch: 7 [32512/49812]	Loss: 1.5130	LR: 0.100000
Training Epoch: 7 [32576/49812]	Loss: 1.6060	LR: 0.100000
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Training Epoch: 7 [32768/49812]	Loss: 1.6166	LR: 0.100000
Training Epoch: 7 [32832/49812]	Loss: 1.7620	LR: 0.100000
Training Epoch: 7 [32896/49812]	Loss: 1.5588	LR: 0.100000
Training Epoch: 7 [32960/49812]	Loss: 1.4904	LR: 0.100000
Training Epoch: 7 [33024/49812]	Loss: 1.4306	LR: 0.100000
Training Epoch: 7 [33088/49812]	Loss: 1.2985	LR: 0.100000
Training Epoch: 7 [33152/49812]	Loss: 1.6530	LR: 0.100000
Training Epoch: 7 [33216/49812]	Loss: 1.3055	LR: 0.100000
Training Epoch: 7 [33280/49812]	Loss: 1.6292	LR: 0.100000
Training Epoch: 7 [33344/49812]	Loss: 1.4290	LR: 0.100000
Training Epoch: 7 [33408/49812]	Loss: 1.6899	LR: 0.100000
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Training Epoch: 7 [33728/49812]	Loss: 1.4527	LR: 0.100000
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Training Epoch: 7 [34048/49812]	Loss: 1.3565	LR: 0.100000
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Training Epoch: 7 [34816/49812]	Loss: 1.4573	LR: 0.100000
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Training Epoch: 7 [35328/49812]	Loss: 1.2700	LR: 0.100000
Training Epoch: 7 [35392/49812]	Loss: 1.8014	LR: 0.100000
Training Epoch: 7 [35456/49812]	Loss: 1.3366	LR: 0.100000
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Training Epoch: 7 [35584/49812]	Loss: 1.7800	LR: 0.100000
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Training Epoch: 7 [36096/49812]	Loss: 1.3256	LR: 0.100000
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Training Epoch: 7 [36352/49812]	Loss: 1.4037	LR: 0.100000
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Training Epoch: 7 [36480/49812]	Loss: 1.4697	LR: 0.100000
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Training Epoch: 7 [36608/49812]	Loss: 1.6181	LR: 0.100000
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Training Epoch: 7 [36736/49812]	Loss: 1.1879	LR: 0.100000
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Training Epoch: 7 [40256/49812]	Loss: 1.8992	LR: 0.100000
Training Epoch: 7 [40320/49812]	Loss: 1.4740	LR: 0.100000
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Training Epoch: 7 [40448/49812]	Loss: 1.6447	LR: 0.100000
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Training Epoch: 7 [40640/49812]	Loss: 1.5995	LR: 0.100000
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Training Epoch: 7 [49812/49812]	Loss: 1.4969	LR: 0.100000
Epoch 7 - Average Train Loss: 1.5131, Train Accuracy: 0.5198
Epoch 7 training time consumed: 261.28s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0266, Accuracy: 0.4874, Time consumed:16.94s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-7-best.pth
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Training Epoch: 8 [11328/49812]	Loss: 1.6262	LR: 0.100000
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Training Epoch: 8 [11456/49812]	Loss: 1.1744	LR: 0.100000
Training Epoch: 8 [11520/49812]	Loss: 1.4432	LR: 0.100000
Training Epoch: 8 [11584/49812]	Loss: 1.7368	LR: 0.100000
Training Epoch: 8 [11648/49812]	Loss: 1.3876	LR: 0.100000
Training Epoch: 8 [11712/49812]	Loss: 1.1719	LR: 0.100000
Training Epoch: 8 [11776/49812]	Loss: 1.6057	LR: 0.100000
Training Epoch: 8 [11840/49812]	Loss: 1.4377	LR: 0.100000
Training Epoch: 8 [11904/49812]	Loss: 1.4346	LR: 0.100000
Training Epoch: 8 [11968/49812]	Loss: 1.6703	LR: 0.100000
Training Epoch: 8 [12032/49812]	Loss: 1.2032	LR: 0.100000
Training Epoch: 8 [12096/49812]	Loss: 1.8607	LR: 0.100000
Training Epoch: 8 [12160/49812]	Loss: 1.6995	LR: 0.100000
Training Epoch: 8 [12224/49812]	Loss: 1.4715	LR: 0.100000
Training Epoch: 8 [12288/49812]	Loss: 1.4392	LR: 0.100000
Training Epoch: 8 [12352/49812]	Loss: 1.3226	LR: 0.100000
Training Epoch: 8 [12416/49812]	Loss: 1.8927	LR: 0.100000
Training Epoch: 8 [12480/49812]	Loss: 1.3504	LR: 0.100000
Training Epoch: 8 [12544/49812]	Loss: 1.7605	LR: 0.100000
Training Epoch: 8 [12608/49812]	Loss: 1.3321	LR: 0.100000
Training Epoch: 8 [12672/49812]	Loss: 1.3882	LR: 0.100000
Training Epoch: 8 [12736/49812]	Loss: 1.7379	LR: 0.100000
Training Epoch: 8 [12800/49812]	Loss: 1.7563	LR: 0.100000
Training Epoch: 8 [12864/49812]	Loss: 1.4463	LR: 0.100000
Training Epoch: 8 [12928/49812]	Loss: 1.5072	LR: 0.100000
Training Epoch: 8 [12992/49812]	Loss: 1.2151	LR: 0.100000
Training Epoch: 8 [13056/49812]	Loss: 1.1308	LR: 0.100000
Training Epoch: 8 [13120/49812]	Loss: 1.6201	LR: 0.100000
Training Epoch: 8 [13184/49812]	Loss: 1.5526	LR: 0.100000
Training Epoch: 8 [13248/49812]	Loss: 1.6020	LR: 0.100000
Training Epoch: 8 [13312/49812]	Loss: 1.3476	LR: 0.100000
Training Epoch: 8 [13376/49812]	Loss: 1.6876	LR: 0.100000
Training Epoch: 8 [13440/49812]	Loss: 1.5953	LR: 0.100000
Training Epoch: 8 [13504/49812]	Loss: 1.4023	LR: 0.100000
Training Epoch: 8 [13568/49812]	Loss: 1.3856	LR: 0.100000
Training Epoch: 8 [13632/49812]	Loss: 1.3307	LR: 0.100000
Training Epoch: 8 [13696/49812]	Loss: 1.3759	LR: 0.100000
Training Epoch: 8 [13760/49812]	Loss: 1.3034	LR: 0.100000
Training Epoch: 8 [13824/49812]	Loss: 1.4961	LR: 0.100000
Training Epoch: 8 [13888/49812]	Loss: 1.6785	LR: 0.100000
Training Epoch: 8 [13952/49812]	Loss: 1.5905	LR: 0.100000
Training Epoch: 8 [14016/49812]	Loss: 1.4215	LR: 0.100000
Training Epoch: 8 [14080/49812]	Loss: 1.4229	LR: 0.100000
Training Epoch: 8 [14144/49812]	Loss: 1.5765	LR: 0.100000
Training Epoch: 8 [14208/49812]	Loss: 1.3703	LR: 0.100000
Training Epoch: 8 [14272/49812]	Loss: 1.6806	LR: 0.100000
Training Epoch: 8 [14336/49812]	Loss: 1.3157	LR: 0.100000
Training Epoch: 8 [14400/49812]	Loss: 1.3593	LR: 0.100000
Training Epoch: 8 [14464/49812]	Loss: 1.3943	LR: 0.100000
Training Epoch: 8 [14528/49812]	Loss: 1.3571	LR: 0.100000
Training Epoch: 8 [14592/49812]	Loss: 1.1045	LR: 0.100000
Training Epoch: 8 [14656/49812]	Loss: 1.4236	LR: 0.100000
Training Epoch: 8 [14720/49812]	Loss: 1.3872	LR: 0.100000
Training Epoch: 8 [14784/49812]	Loss: 1.1607	LR: 0.100000
Training Epoch: 8 [14848/49812]	Loss: 1.5213	LR: 0.100000
Training Epoch: 8 [14912/49812]	Loss: 1.6489	LR: 0.100000
Training Epoch: 8 [14976/49812]	Loss: 1.5921	LR: 0.100000
Training Epoch: 8 [15040/49812]	Loss: 1.4854	LR: 0.100000
Training Epoch: 8 [15104/49812]	Loss: 1.3914	LR: 0.100000
Training Epoch: 8 [15168/49812]	Loss: 1.3851	LR: 0.100000
Training Epoch: 8 [15232/49812]	Loss: 1.6489	LR: 0.100000
Training Epoch: 8 [15296/49812]	Loss: 1.2945	LR: 0.100000
Training Epoch: 8 [15360/49812]	Loss: 1.5260	LR: 0.100000
Training Epoch: 8 [15424/49812]	Loss: 1.4649	LR: 0.100000
Training Epoch: 8 [15488/49812]	Loss: 1.3244	LR: 0.100000
Training Epoch: 8 [15552/49812]	Loss: 1.6121	LR: 0.100000
Training Epoch: 8 [15616/49812]	Loss: 1.3260	LR: 0.100000
Training Epoch: 8 [15680/49812]	Loss: 1.5265	LR: 0.100000
Training Epoch: 8 [15744/49812]	Loss: 1.3240	LR: 0.100000
Training Epoch: 8 [15808/49812]	Loss: 1.4318	LR: 0.100000
Training Epoch: 8 [15872/49812]	Loss: 1.4212	LR: 0.100000
Training Epoch: 8 [15936/49812]	Loss: 1.3803	LR: 0.100000
Training Epoch: 8 [16000/49812]	Loss: 1.3990	LR: 0.100000
Training Epoch: 8 [16064/49812]	Loss: 1.7073	LR: 0.100000
Training Epoch: 8 [16128/49812]	Loss: 1.3600	LR: 0.100000
Training Epoch: 8 [16192/49812]	Loss: 1.1254	LR: 0.100000
Training Epoch: 8 [16256/49812]	Loss: 1.6021	LR: 0.100000
Training Epoch: 8 [16320/49812]	Loss: 1.7165	LR: 0.100000
Training Epoch: 8 [16384/49812]	Loss: 1.5297	LR: 0.100000
Training Epoch: 8 [16448/49812]	Loss: 1.2137	LR: 0.100000
Training Epoch: 8 [16512/49812]	Loss: 1.3661	LR: 0.100000
Training Epoch: 8 [16576/49812]	Loss: 1.4891	LR: 0.100000
Training Epoch: 8 [16640/49812]	Loss: 1.6098	LR: 0.100000
Training Epoch: 8 [16704/49812]	Loss: 1.7344	LR: 0.100000
Training Epoch: 8 [16768/49812]	Loss: 1.5919	LR: 0.100000
Training Epoch: 8 [16832/49812]	Loss: 1.6708	LR: 0.100000
Training Epoch: 8 [16896/49812]	Loss: 1.3941	LR: 0.100000
Training Epoch: 8 [16960/49812]	Loss: 1.5096	LR: 0.100000
Training Epoch: 8 [17024/49812]	Loss: 1.5604	LR: 0.100000
Training Epoch: 8 [17088/49812]	Loss: 1.2842	LR: 0.100000
Training Epoch: 8 [17152/49812]	Loss: 1.3799	LR: 0.100000
Training Epoch: 8 [17216/49812]	Loss: 1.2615	LR: 0.100000
Training Epoch: 8 [17280/49812]	Loss: 1.4152	LR: 0.100000
Training Epoch: 8 [17344/49812]	Loss: 1.2586	LR: 0.100000
Training Epoch: 8 [17408/49812]	Loss: 1.3768	LR: 0.100000
Training Epoch: 8 [17472/49812]	Loss: 1.6456	LR: 0.100000
Training Epoch: 8 [17536/49812]	Loss: 1.3996	LR: 0.100000
Training Epoch: 8 [17600/49812]	Loss: 1.5896	LR: 0.100000
Training Epoch: 8 [17664/49812]	Loss: 1.2759	LR: 0.100000
Training Epoch: 8 [17728/49812]	Loss: 1.4068	LR: 0.100000
Training Epoch: 8 [17792/49812]	Loss: 1.3259	LR: 0.100000
Training Epoch: 8 [17856/49812]	Loss: 1.6410	LR: 0.100000
Training Epoch: 8 [17920/49812]	Loss: 1.3140	LR: 0.100000
Training Epoch: 8 [17984/49812]	Loss: 1.3258	LR: 0.100000
Training Epoch: 8 [18048/49812]	Loss: 1.7140	LR: 0.100000
Training Epoch: 8 [18112/49812]	Loss: 1.7445	LR: 0.100000
Training Epoch: 8 [18176/49812]	Loss: 1.3976	LR: 0.100000
Training Epoch: 8 [18240/49812]	Loss: 1.1288	LR: 0.100000
Training Epoch: 8 [18304/49812]	Loss: 1.6278	LR: 0.100000
Training Epoch: 8 [18368/49812]	Loss: 1.4874	LR: 0.100000
Training Epoch: 8 [18432/49812]	Loss: 1.6118	LR: 0.100000
Training Epoch: 8 [18496/49812]	Loss: 1.3879	LR: 0.100000
Training Epoch: 8 [18560/49812]	Loss: 1.3242	LR: 0.100000
Training Epoch: 8 [18624/49812]	Loss: 1.3091	LR: 0.100000
Training Epoch: 8 [18688/49812]	Loss: 1.5823	LR: 0.100000
Training Epoch: 8 [18752/49812]	Loss: 1.3284	LR: 0.100000
Training Epoch: 8 [18816/49812]	Loss: 1.6888	LR: 0.100000
Training Epoch: 8 [18880/49812]	Loss: 1.4324	LR: 0.100000
Training Epoch: 8 [18944/49812]	Loss: 1.3673	LR: 0.100000
Training Epoch: 8 [19008/49812]	Loss: 1.3209	LR: 0.100000
Training Epoch: 8 [19072/49812]	Loss: 1.6597	LR: 0.100000
Training Epoch: 8 [19136/49812]	Loss: 1.5027	LR: 0.100000
Training Epoch: 8 [19200/49812]	Loss: 1.5442	LR: 0.100000
Training Epoch: 8 [19264/49812]	Loss: 1.3486	LR: 0.100000
Training Epoch: 8 [19328/49812]	Loss: 1.6916	LR: 0.100000
Training Epoch: 8 [19392/49812]	Loss: 1.2496	LR: 0.100000
Training Epoch: 8 [19456/49812]	Loss: 1.3569	LR: 0.100000
Training Epoch: 8 [19520/49812]	Loss: 1.6703	LR: 0.100000
Training Epoch: 8 [19584/49812]	Loss: 1.5339	LR: 0.100000
Training Epoch: 8 [19648/49812]	Loss: 1.7238	LR: 0.100000
Training Epoch: 8 [19712/49812]	Loss: 1.3501	LR: 0.100000
Training Epoch: 8 [19776/49812]	Loss: 1.2268	LR: 0.100000
Training Epoch: 8 [19840/49812]	Loss: 1.4223	LR: 0.100000
Training Epoch: 8 [19904/49812]	Loss: 1.5197	LR: 0.100000
Training Epoch: 8 [19968/49812]	Loss: 1.7776	LR: 0.100000
Training Epoch: 8 [20032/49812]	Loss: 1.5107	LR: 0.100000
Training Epoch: 8 [20096/49812]	Loss: 1.5413	LR: 0.100000
Training Epoch: 8 [20160/49812]	Loss: 1.2151	LR: 0.100000
Training Epoch: 8 [20224/49812]	Loss: 1.3050	LR: 0.100000
Training Epoch: 8 [20288/49812]	Loss: 1.4995	LR: 0.100000
Training Epoch: 8 [20352/49812]	Loss: 1.3997	LR: 0.100000
Training Epoch: 8 [20416/49812]	Loss: 1.3228	LR: 0.100000
Training Epoch: 8 [20480/49812]	Loss: 1.5058	LR: 0.100000
Training Epoch: 8 [20544/49812]	Loss: 1.3189	LR: 0.100000
Training Epoch: 8 [20608/49812]	Loss: 1.2681	LR: 0.100000
Training Epoch: 8 [20672/49812]	Loss: 1.4989	LR: 0.100000
Training Epoch: 8 [20736/49812]	Loss: 1.3636	LR: 0.100000
Training Epoch: 8 [20800/49812]	Loss: 1.4097	LR: 0.100000
Training Epoch: 8 [20864/49812]	Loss: 1.3814	LR: 0.100000
Training Epoch: 8 [20928/49812]	Loss: 1.3496	LR: 0.100000
Training Epoch: 8 [20992/49812]	Loss: 1.3322	LR: 0.100000
Training Epoch: 8 [21056/49812]	Loss: 1.6746	LR: 0.100000
Training Epoch: 8 [21120/49812]	Loss: 1.5739	LR: 0.100000
Training Epoch: 8 [21184/49812]	Loss: 1.4671	LR: 0.100000
Training Epoch: 8 [21248/49812]	Loss: 1.5905	LR: 0.100000
Training Epoch: 8 [21312/49812]	Loss: 1.2818	LR: 0.100000
Training Epoch: 8 [21376/49812]	Loss: 1.5364	LR: 0.100000
Training Epoch: 8 [21440/49812]	Loss: 1.5066	LR: 0.100000
Training Epoch: 8 [21504/49812]	Loss: 1.3037	LR: 0.100000
Training Epoch: 8 [21568/49812]	Loss: 1.3634	LR: 0.100000
Training Epoch: 8 [21632/49812]	Loss: 1.5058	LR: 0.100000
Training Epoch: 8 [21696/49812]	Loss: 1.3547	LR: 0.100000
Training Epoch: 8 [21760/49812]	Loss: 1.2982	LR: 0.100000
Training Epoch: 8 [21824/49812]	Loss: 1.5453	LR: 0.100000
Training Epoch: 8 [21888/49812]	Loss: 1.5183	LR: 0.100000
Training Epoch: 8 [21952/49812]	Loss: 1.4938	LR: 0.100000
Training Epoch: 8 [22016/49812]	Loss: 1.3292	LR: 0.100000
Training Epoch: 8 [22080/49812]	Loss: 1.2685	LR: 0.100000
Training Epoch: 8 [22144/49812]	Loss: 1.3574	LR: 0.100000
Training Epoch: 8 [22208/49812]	Loss: 1.5047	LR: 0.100000
Training Epoch: 8 [22272/49812]	Loss: 1.5370	LR: 0.100000
Training Epoch: 8 [22336/49812]	Loss: 1.6344	LR: 0.100000
Training Epoch: 8 [22400/49812]	Loss: 1.4546	LR: 0.100000
Training Epoch: 8 [22464/49812]	Loss: 1.4515	LR: 0.100000
Training Epoch: 8 [22528/49812]	Loss: 1.4405	LR: 0.100000
Training Epoch: 8 [22592/49812]	Loss: 1.4563	LR: 0.100000
Training Epoch: 8 [22656/49812]	Loss: 1.3614	LR: 0.100000
Training Epoch: 8 [22720/49812]	Loss: 1.4936	LR: 0.100000
Training Epoch: 8 [22784/49812]	Loss: 1.3069	LR: 0.100000
Training Epoch: 8 [22848/49812]	Loss: 1.6120	LR: 0.100000
Training Epoch: 8 [22912/49812]	Loss: 1.3432	LR: 0.100000
Training Epoch: 8 [22976/49812]	Loss: 1.5057	LR: 0.100000
Training Epoch: 8 [23040/49812]	Loss: 1.5951	LR: 0.100000
Training Epoch: 8 [23104/49812]	Loss: 1.7112	LR: 0.100000
Training Epoch: 8 [23168/49812]	Loss: 1.6568	LR: 0.100000
Training Epoch: 8 [23232/49812]	Loss: 1.5386	LR: 0.100000
Training Epoch: 8 [23296/49812]	Loss: 1.2309	LR: 0.100000
Training Epoch: 8 [23360/49812]	Loss: 1.5924	LR: 0.100000
Training Epoch: 8 [23424/49812]	Loss: 1.6621	LR: 0.100000
Training Epoch: 8 [23488/49812]	Loss: 1.4875	LR: 0.100000
Training Epoch: 8 [23552/49812]	Loss: 1.5722	LR: 0.100000
Training Epoch: 8 [23616/49812]	Loss: 1.3736	LR: 0.100000
Training Epoch: 8 [23680/49812]	Loss: 1.3724	LR: 0.100000
Training Epoch: 8 [23744/49812]	Loss: 1.1624	LR: 0.100000
Training Epoch: 8 [23808/49812]	Loss: 1.5917	LR: 0.100000
Training Epoch: 8 [23872/49812]	Loss: 1.1999	LR: 0.100000
Training Epoch: 8 [23936/49812]	Loss: 1.3682	LR: 0.100000
Training Epoch: 8 [24000/49812]	Loss: 1.1288	LR: 0.100000
Training Epoch: 8 [24064/49812]	Loss: 1.4371	LR: 0.100000
Training Epoch: 8 [24128/49812]	Loss: 1.5114	LR: 0.100000
Training Epoch: 8 [24192/49812]	Loss: 1.5862	LR: 0.100000
Training Epoch: 8 [24256/49812]	Loss: 1.6506	LR: 0.100000
Training Epoch: 8 [24320/49812]	Loss: 1.3887	LR: 0.100000
Training Epoch: 8 [24384/49812]	Loss: 1.4950	LR: 0.100000
Training Epoch: 8 [24448/49812]	Loss: 1.5170	LR: 0.100000
Training Epoch: 8 [24512/49812]	Loss: 1.4585	LR: 0.100000
Training Epoch: 8 [24576/49812]	Loss: 1.4050	LR: 0.100000
Training Epoch: 8 [24640/49812]	Loss: 1.1924	LR: 0.100000
Training Epoch: 8 [24704/49812]	Loss: 1.4957	LR: 0.100000
Training Epoch: 8 [24768/49812]	Loss: 1.7368	LR: 0.100000
Training Epoch: 8 [24832/49812]	Loss: 1.2782	LR: 0.100000
Training Epoch: 8 [24896/49812]	Loss: 1.5646	LR: 0.100000
Training Epoch: 8 [24960/49812]	Loss: 1.4035	LR: 0.100000
Training Epoch: 8 [25024/49812]	Loss: 1.3328	LR: 0.100000
Training Epoch: 8 [25088/49812]	Loss: 1.6897	LR: 0.100000
Training Epoch: 8 [25152/49812]	Loss: 1.6052	LR: 0.100000
Training Epoch: 8 [25216/49812]	Loss: 1.2653	LR: 0.100000
Training Epoch: 8 [25280/49812]	Loss: 1.2037	LR: 0.100000
Training Epoch: 8 [25344/49812]	Loss: 1.4457	LR: 0.100000
Training Epoch: 8 [25408/49812]	Loss: 1.3535	LR: 0.100000
Training Epoch: 8 [25472/49812]	Loss: 1.5032	LR: 0.100000
Training Epoch: 8 [25536/49812]	Loss: 1.3561	LR: 0.100000
Training Epoch: 8 [25600/49812]	Loss: 1.3616	LR: 0.100000
Training Epoch: 8 [25664/49812]	Loss: 1.1495	LR: 0.100000
Training Epoch: 8 [25728/49812]	Loss: 1.2159	LR: 0.100000
Training Epoch: 8 [25792/49812]	Loss: 1.4944	LR: 0.100000
Training Epoch: 8 [25856/49812]	Loss: 1.5399	LR: 0.100000
Training Epoch: 8 [25920/49812]	Loss: 1.4994	LR: 0.100000
Training Epoch: 8 [25984/49812]	Loss: 1.4503	LR: 0.100000
Training Epoch: 8 [26048/49812]	Loss: 1.3267	LR: 0.100000
Training Epoch: 8 [26112/49812]	Loss: 1.2868	LR: 0.100000
Training Epoch: 8 [26176/49812]	Loss: 1.4160	LR: 0.100000
Training Epoch: 8 [26240/49812]	Loss: 1.6497	LR: 0.100000
Training Epoch: 8 [26304/49812]	Loss: 1.6213	LR: 0.100000
Training Epoch: 8 [26368/49812]	Loss: 1.4668	LR: 0.100000
Training Epoch: 8 [26432/49812]	Loss: 1.3582	LR: 0.100000
Training Epoch: 8 [26496/49812]	Loss: 1.6941	LR: 0.100000
Training Epoch: 8 [26560/49812]	Loss: 1.1288	LR: 0.100000
Training Epoch: 8 [26624/49812]	Loss: 1.2233	LR: 0.100000
Training Epoch: 8 [26688/49812]	Loss: 1.4764	LR: 0.100000
Training Epoch: 8 [26752/49812]	Loss: 1.7445	LR: 0.100000
Training Epoch: 8 [26816/49812]	Loss: 1.3912	LR: 0.100000
Training Epoch: 8 [26880/49812]	Loss: 1.6343	LR: 0.100000
Training Epoch: 8 [26944/49812]	Loss: 1.2328	LR: 0.100000
Training Epoch: 8 [27008/49812]	Loss: 1.4144	LR: 0.100000
Training Epoch: 8 [27072/49812]	Loss: 1.0630	LR: 0.100000
Training Epoch: 8 [27136/49812]	Loss: 1.4070	LR: 0.100000
Training Epoch: 8 [27200/49812]	Loss: 1.5066	LR: 0.100000
Training Epoch: 8 [27264/49812]	Loss: 1.4408	LR: 0.100000
Training Epoch: 8 [27328/49812]	Loss: 1.4564	LR: 0.100000
Training Epoch: 8 [27392/49812]	Loss: 1.9544	LR: 0.100000
Training Epoch: 8 [27456/49812]	Loss: 1.3322	LR: 0.100000
Training Epoch: 8 [27520/49812]	Loss: 1.3761	LR: 0.100000
Training Epoch: 8 [27584/49812]	Loss: 1.3473	LR: 0.100000
Training Epoch: 8 [27648/49812]	Loss: 1.4579	LR: 0.100000
Training Epoch: 8 [27712/49812]	Loss: 1.5964	LR: 0.100000
Training Epoch: 8 [27776/49812]	Loss: 1.5648	LR: 0.100000
Training Epoch: 8 [27840/49812]	Loss: 1.5674	LR: 0.100000
Training Epoch: 8 [27904/49812]	Loss: 1.5185	LR: 0.100000
Training Epoch: 8 [27968/49812]	Loss: 1.1114	LR: 0.100000
Training Epoch: 8 [28032/49812]	Loss: 1.7199	LR: 0.100000
Training Epoch: 8 [28096/49812]	Loss: 1.5524	LR: 0.100000
Training Epoch: 8 [28160/49812]	Loss: 1.6109	LR: 0.100000
Training Epoch: 8 [28224/49812]	Loss: 1.2953	LR: 0.100000
Training Epoch: 8 [28288/49812]	Loss: 1.5107	LR: 0.100000
Training Epoch: 8 [28352/49812]	Loss: 1.4323	LR: 0.100000
Training Epoch: 8 [28416/49812]	Loss: 1.5233	LR: 0.100000
Training Epoch: 8 [28480/49812]	Loss: 1.2744	LR: 0.100000
Training Epoch: 8 [28544/49812]	Loss: 1.6872	LR: 0.100000
Training Epoch: 8 [28608/49812]	Loss: 1.6689	LR: 0.100000
Training Epoch: 8 [28672/49812]	Loss: 1.6252	LR: 0.100000
Training Epoch: 8 [28736/49812]	Loss: 1.7510	LR: 0.100000
Training Epoch: 8 [28800/49812]	Loss: 1.4575	LR: 0.100000
Training Epoch: 8 [28864/49812]	Loss: 1.5208	LR: 0.100000
Training Epoch: 8 [28928/49812]	Loss: 1.4873	LR: 0.100000
Training Epoch: 8 [28992/49812]	Loss: 1.4719	LR: 0.100000
Training Epoch: 8 [29056/49812]	Loss: 1.2383	LR: 0.100000
Training Epoch: 8 [29120/49812]	Loss: 1.5142	LR: 0.100000
Training Epoch: 8 [29184/49812]	Loss: 1.2922	LR: 0.100000
Training Epoch: 8 [29248/49812]	Loss: 1.2697	LR: 0.100000
Training Epoch: 8 [29312/49812]	Loss: 1.7372	LR: 0.100000
Training Epoch: 8 [29376/49812]	Loss: 1.5655	LR: 0.100000
Training Epoch: 8 [29440/49812]	Loss: 1.2232	LR: 0.100000
Training Epoch: 8 [29504/49812]	Loss: 1.4541	LR: 0.100000
Training Epoch: 8 [29568/49812]	Loss: 1.5309	LR: 0.100000
Training Epoch: 8 [29632/49812]	Loss: 1.6640	LR: 0.100000
Training Epoch: 8 [29696/49812]	Loss: 1.3262	LR: 0.100000
Training Epoch: 8 [29760/49812]	Loss: 1.3906	LR: 0.100000
Training Epoch: 8 [29824/49812]	Loss: 1.6662	LR: 0.100000
Training Epoch: 8 [29888/49812]	Loss: 1.3166	LR: 0.100000
Training Epoch: 8 [29952/49812]	Loss: 1.5682	LR: 0.100000
Training Epoch: 8 [30016/49812]	Loss: 1.3754	LR: 0.100000
Training Epoch: 8 [30080/49812]	Loss: 1.4760	LR: 0.100000
Training Epoch: 8 [30144/49812]	Loss: 1.2951	LR: 0.100000
Training Epoch: 8 [30208/49812]	Loss: 1.4618	LR: 0.100000
Training Epoch: 8 [30272/49812]	Loss: 1.2409	LR: 0.100000
Training Epoch: 8 [30336/49812]	Loss: 1.5520	LR: 0.100000
Training Epoch: 8 [30400/49812]	Loss: 1.5362	LR: 0.100000
Training Epoch: 8 [30464/49812]	Loss: 1.0919	LR: 0.100000
Training Epoch: 8 [30528/49812]	Loss: 1.5317	LR: 0.100000
Training Epoch: 8 [30592/49812]	Loss: 1.3285	LR: 0.100000
Training Epoch: 8 [30656/49812]	Loss: 1.3209	LR: 0.100000
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Training Epoch: 8 [49472/49812]	Loss: 1.5757	LR: 0.100000
Training Epoch: 8 [49536/49812]	Loss: 1.5953	LR: 0.100000
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Training Epoch: 8 [49792/49812]	Loss: 1.3513	LR: 0.100000
Training Epoch: 8 [49812/49812]	Loss: 1.3221	LR: 0.100000
Epoch 8 - Average Train Loss: 1.4543, Train Accuracy: 0.5396
Epoch 8 training time consumed: 264.67s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0338, Accuracy: 0.4214, Time consumed:17.58s
Training Epoch: 9 [64/49812]	Loss: 1.5890	LR: 0.100000
Training Epoch: 9 [128/49812]	Loss: 1.5208	LR: 0.100000
Training Epoch: 9 [192/49812]	Loss: 1.8790	LR: 0.100000
Training Epoch: 9 [256/49812]	Loss: 1.6826	LR: 0.100000
Training Epoch: 9 [320/49812]	Loss: 1.6070	LR: 0.100000
Training Epoch: 9 [384/49812]	Loss: 1.1960	LR: 0.100000
Training Epoch: 9 [448/49812]	Loss: 1.5139	LR: 0.100000
Training Epoch: 9 [512/49812]	Loss: 1.3026	LR: 0.100000
Training Epoch: 9 [576/49812]	Loss: 1.0876	LR: 0.100000
Training Epoch: 9 [640/49812]	Loss: 1.3000	LR: 0.100000
Training Epoch: 9 [704/49812]	Loss: 1.5959	LR: 0.100000
Training Epoch: 9 [768/49812]	Loss: 1.5914	LR: 0.100000
Training Epoch: 9 [832/49812]	Loss: 1.3620	LR: 0.100000
Training Epoch: 9 [896/49812]	Loss: 1.2775	LR: 0.100000
Training Epoch: 9 [960/49812]	Loss: 1.3300	LR: 0.100000
Training Epoch: 9 [1024/49812]	Loss: 1.7447	LR: 0.100000
Training Epoch: 9 [1088/49812]	Loss: 1.4172	LR: 0.100000
Training Epoch: 9 [1152/49812]	Loss: 1.7439	LR: 0.100000
Training Epoch: 9 [1216/49812]	Loss: 1.3826	LR: 0.100000
Training Epoch: 9 [1280/49812]	Loss: 1.4337	LR: 0.100000
Training Epoch: 9 [1344/49812]	Loss: 1.3293	LR: 0.100000
Training Epoch: 9 [1408/49812]	Loss: 1.4096	LR: 0.100000
Training Epoch: 9 [1472/49812]	Loss: 1.4166	LR: 0.100000
Training Epoch: 9 [1536/49812]	Loss: 1.1499	LR: 0.100000
Training Epoch: 9 [1600/49812]	Loss: 1.2666	LR: 0.100000
Training Epoch: 9 [1664/49812]	Loss: 1.4746	LR: 0.100000
Training Epoch: 9 [1728/49812]	Loss: 1.3721	LR: 0.100000
Training Epoch: 9 [1792/49812]	Loss: 1.1979	LR: 0.100000
Training Epoch: 9 [1856/49812]	Loss: 1.3507	LR: 0.100000
Training Epoch: 9 [1920/49812]	Loss: 1.1036	LR: 0.100000
Training Epoch: 9 [1984/49812]	Loss: 1.3029	LR: 0.100000
Training Epoch: 9 [2048/49812]	Loss: 1.6009	LR: 0.100000
Training Epoch: 9 [2112/49812]	Loss: 1.3060	LR: 0.100000
Training Epoch: 9 [2176/49812]	Loss: 1.1658	LR: 0.100000
Training Epoch: 9 [2240/49812]	Loss: 1.8637	LR: 0.100000
Training Epoch: 9 [2304/49812]	Loss: 1.3246	LR: 0.100000
Training Epoch: 9 [2368/49812]	Loss: 1.2356	LR: 0.100000
Training Epoch: 9 [2432/49812]	Loss: 1.2353	LR: 0.100000
Training Epoch: 9 [2496/49812]	Loss: 1.5014	LR: 0.100000
Training Epoch: 9 [2560/49812]	Loss: 1.4211	LR: 0.100000
Training Epoch: 9 [2624/49812]	Loss: 1.3869	LR: 0.100000
Training Epoch: 9 [2688/49812]	Loss: 1.4910	LR: 0.100000
Training Epoch: 9 [2752/49812]	Loss: 1.3208	LR: 0.100000
Training Epoch: 9 [2816/49812]	Loss: 1.5918	LR: 0.100000
Training Epoch: 9 [2880/49812]	Loss: 1.4877	LR: 0.100000
Training Epoch: 9 [2944/49812]	Loss: 1.4771	LR: 0.100000
Training Epoch: 9 [3008/49812]	Loss: 1.4034	LR: 0.100000
Training Epoch: 9 [3072/49812]	Loss: 1.2461	LR: 0.100000
Training Epoch: 9 [3136/49812]	Loss: 1.6748	LR: 0.100000
Training Epoch: 9 [3200/49812]	Loss: 1.5569	LR: 0.100000
Training Epoch: 9 [3264/49812]	Loss: 1.4006	LR: 0.100000
Training Epoch: 9 [3328/49812]	Loss: 1.1473	LR: 0.100000
Training Epoch: 9 [3392/49812]	Loss: 1.4608	LR: 0.100000
Training Epoch: 9 [3456/49812]	Loss: 1.4650	LR: 0.100000
Training Epoch: 9 [3520/49812]	Loss: 1.6908	LR: 0.100000
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Training Epoch: 9 [3648/49812]	Loss: 1.5993	LR: 0.100000
Training Epoch: 9 [3712/49812]	Loss: 1.1852	LR: 0.100000
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Training Epoch: 9 [4096/49812]	Loss: 1.3103	LR: 0.100000
Training Epoch: 9 [4160/49812]	Loss: 1.4843	LR: 0.100000
Training Epoch: 9 [4224/49812]	Loss: 1.7318	LR: 0.100000
Training Epoch: 9 [4288/49812]	Loss: 1.3500	LR: 0.100000
Training Epoch: 9 [4352/49812]	Loss: 1.3660	LR: 0.100000
Training Epoch: 9 [4416/49812]	Loss: 1.3196	LR: 0.100000
Training Epoch: 9 [4480/49812]	Loss: 1.3930	LR: 0.100000
Training Epoch: 9 [4544/49812]	Loss: 1.5353	LR: 0.100000
Training Epoch: 9 [4608/49812]	Loss: 1.5625	LR: 0.100000
Training Epoch: 9 [4672/49812]	Loss: 1.5797	LR: 0.100000
Training Epoch: 9 [4736/49812]	Loss: 1.5188	LR: 0.100000
Training Epoch: 9 [4800/49812]	Loss: 1.2616	LR: 0.100000
Training Epoch: 9 [4864/49812]	Loss: 1.3852	LR: 0.100000
Training Epoch: 9 [4928/49812]	Loss: 1.6022	LR: 0.100000
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Training Epoch: 9 [5888/49812]	Loss: 1.3620	LR: 0.100000
Training Epoch: 9 [5952/49812]	Loss: 1.2062	LR: 0.100000
Training Epoch: 9 [6016/49812]	Loss: 1.3838	LR: 0.100000
Training Epoch: 9 [6080/49812]	Loss: 1.7800	LR: 0.100000
Training Epoch: 9 [6144/49812]	Loss: 1.5291	LR: 0.100000
Training Epoch: 9 [6208/49812]	Loss: 1.3281	LR: 0.100000
Training Epoch: 9 [6272/49812]	Loss: 1.2445	LR: 0.100000
Training Epoch: 9 [6336/49812]	Loss: 1.2942	LR: 0.100000
Training Epoch: 9 [6400/49812]	Loss: 1.5900	LR: 0.100000
Training Epoch: 9 [6464/49812]	Loss: 1.3051	LR: 0.100000
Training Epoch: 9 [6528/49812]	Loss: 1.4626	LR: 0.100000
Training Epoch: 9 [6592/49812]	Loss: 1.1954	LR: 0.100000
Training Epoch: 9 [6656/49812]	Loss: 1.3313	LR: 0.100000
Training Epoch: 9 [6720/49812]	Loss: 1.3407	LR: 0.100000
Training Epoch: 9 [6784/49812]	Loss: 1.6428	LR: 0.100000
Training Epoch: 9 [6848/49812]	Loss: 1.3938	LR: 0.100000
Training Epoch: 9 [6912/49812]	Loss: 1.5128	LR: 0.100000
Training Epoch: 9 [6976/49812]	Loss: 1.6213	LR: 0.100000
Training Epoch: 9 [7040/49812]	Loss: 1.3645	LR: 0.100000
Training Epoch: 9 [7104/49812]	Loss: 1.0578	LR: 0.100000
Training Epoch: 9 [7168/49812]	Loss: 1.1908	LR: 0.100000
Training Epoch: 9 [7232/49812]	Loss: 1.5747	LR: 0.100000
Training Epoch: 9 [7296/49812]	Loss: 1.3619	LR: 0.100000
Training Epoch: 9 [7360/49812]	Loss: 1.4841	LR: 0.100000
Training Epoch: 9 [7424/49812]	Loss: 1.4361	LR: 0.100000
Training Epoch: 9 [7488/49812]	Loss: 1.4546	LR: 0.100000
Training Epoch: 9 [7552/49812]	Loss: 1.0853	LR: 0.100000
Training Epoch: 9 [7616/49812]	Loss: 1.4743	LR: 0.100000
Training Epoch: 9 [7680/49812]	Loss: 1.4595	LR: 0.100000
Training Epoch: 9 [7744/49812]	Loss: 1.3092	LR: 0.100000
Training Epoch: 9 [7808/49812]	Loss: 1.6007	LR: 0.100000
Training Epoch: 9 [7872/49812]	Loss: 1.3019	LR: 0.100000
Training Epoch: 9 [7936/49812]	Loss: 1.2759	LR: 0.100000
Training Epoch: 9 [8000/49812]	Loss: 1.3541	LR: 0.100000
Training Epoch: 9 [8064/49812]	Loss: 1.4527	LR: 0.100000
Training Epoch: 9 [8128/49812]	Loss: 1.1835	LR: 0.100000
Training Epoch: 9 [8192/49812]	Loss: 1.4051	LR: 0.100000
Training Epoch: 9 [8256/49812]	Loss: 1.3820	LR: 0.100000
Training Epoch: 9 [8320/49812]	Loss: 1.1924	LR: 0.100000
Training Epoch: 9 [8384/49812]	Loss: 1.7338	LR: 0.100000
Training Epoch: 9 [8448/49812]	Loss: 1.1014	LR: 0.100000
Training Epoch: 9 [8512/49812]	Loss: 1.5445	LR: 0.100000
Training Epoch: 9 [8576/49812]	Loss: 1.5182	LR: 0.100000
Training Epoch: 9 [8640/49812]	Loss: 1.2807	LR: 0.100000
Training Epoch: 9 [8704/49812]	Loss: 1.6177	LR: 0.100000
Training Epoch: 9 [8768/49812]	Loss: 1.5059	LR: 0.100000
Training Epoch: 9 [8832/49812]	Loss: 1.3290	LR: 0.100000
Training Epoch: 9 [8896/49812]	Loss: 1.6316	LR: 0.100000
Training Epoch: 9 [8960/49812]	Loss: 1.5887	LR: 0.100000
Training Epoch: 9 [9024/49812]	Loss: 1.6229	LR: 0.100000
Training Epoch: 9 [9088/49812]	Loss: 1.8458	LR: 0.100000
Training Epoch: 9 [9152/49812]	Loss: 1.2138	LR: 0.100000
Training Epoch: 9 [9216/49812]	Loss: 1.3797	LR: 0.100000
Training Epoch: 9 [9280/49812]	Loss: 1.7369	LR: 0.100000
Training Epoch: 9 [9344/49812]	Loss: 1.3625	LR: 0.100000
Training Epoch: 9 [9408/49812]	Loss: 1.2741	LR: 0.100000
Training Epoch: 9 [9472/49812]	Loss: 1.6368	LR: 0.100000
Training Epoch: 9 [9536/49812]	Loss: 1.5420	LR: 0.100000
Training Epoch: 9 [9600/49812]	Loss: 1.3709	LR: 0.100000
Training Epoch: 9 [9664/49812]	Loss: 1.5116	LR: 0.100000
Training Epoch: 9 [9728/49812]	Loss: 1.4680	LR: 0.100000
Training Epoch: 9 [9792/49812]	Loss: 1.2487	LR: 0.100000
Training Epoch: 9 [9856/49812]	Loss: 1.5042	LR: 0.100000
Training Epoch: 9 [9920/49812]	Loss: 1.4849	LR: 0.100000
Training Epoch: 9 [9984/49812]	Loss: 1.3169	LR: 0.100000
Training Epoch: 9 [10048/49812]	Loss: 1.4689	LR: 0.100000
Training Epoch: 9 [10112/49812]	Loss: 1.3275	LR: 0.100000
Training Epoch: 9 [10176/49812]	Loss: 1.4571	LR: 0.100000
Training Epoch: 9 [10240/49812]	Loss: 1.3223	LR: 0.100000
Training Epoch: 9 [10304/49812]	Loss: 1.4669	LR: 0.100000
Training Epoch: 9 [10368/49812]	Loss: 1.6100	LR: 0.100000
Training Epoch: 9 [10432/49812]	Loss: 1.3879	LR: 0.100000
Training Epoch: 9 [10496/49812]	Loss: 1.5323	LR: 0.100000
Training Epoch: 9 [10560/49812]	Loss: 1.8933	LR: 0.100000
Training Epoch: 9 [10624/49812]	Loss: 1.0901	LR: 0.100000
Training Epoch: 9 [10688/49812]	Loss: 1.5939	LR: 0.100000
Training Epoch: 9 [10752/49812]	Loss: 1.6947	LR: 0.100000
Training Epoch: 9 [10816/49812]	Loss: 1.3852	LR: 0.100000
Training Epoch: 9 [10880/49812]	Loss: 1.4112	LR: 0.100000
Training Epoch: 9 [10944/49812]	Loss: 1.5100	LR: 0.100000
Training Epoch: 9 [11008/49812]	Loss: 1.5876	LR: 0.100000
Training Epoch: 9 [11072/49812]	Loss: 1.4420	LR: 0.100000
Training Epoch: 9 [11136/49812]	Loss: 1.6964	LR: 0.100000
Training Epoch: 9 [11200/49812]	Loss: 1.5313	LR: 0.100000
Training Epoch: 9 [11264/49812]	Loss: 1.2515	LR: 0.100000
Training Epoch: 9 [11328/49812]	Loss: 1.5836	LR: 0.100000
Training Epoch: 9 [11392/49812]	Loss: 1.3184	LR: 0.100000
Training Epoch: 9 [11456/49812]	Loss: 1.3950	LR: 0.100000
Training Epoch: 9 [11520/49812]	Loss: 1.6518	LR: 0.100000
Training Epoch: 9 [11584/49812]	Loss: 1.3548	LR: 0.100000
Training Epoch: 9 [11648/49812]	Loss: 1.6464	LR: 0.100000
Training Epoch: 9 [11712/49812]	Loss: 1.7668	LR: 0.100000
Training Epoch: 9 [11776/49812]	Loss: 1.5343	LR: 0.100000
Training Epoch: 9 [11840/49812]	Loss: 1.3843	LR: 0.100000
Training Epoch: 9 [11904/49812]	Loss: 1.4569	LR: 0.100000
Training Epoch: 9 [11968/49812]	Loss: 1.3010	LR: 0.100000
Training Epoch: 9 [12032/49812]	Loss: 1.2783	LR: 0.100000
Training Epoch: 9 [12096/49812]	Loss: 1.3556	LR: 0.100000
Training Epoch: 9 [12160/49812]	Loss: 1.3389	LR: 0.100000
Training Epoch: 9 [12224/49812]	Loss: 1.4334	LR: 0.100000
Training Epoch: 9 [12288/49812]	Loss: 1.6200	LR: 0.100000
Training Epoch: 9 [12352/49812]	Loss: 1.4620	LR: 0.100000
Training Epoch: 9 [12416/49812]	Loss: 1.3105	LR: 0.100000
Training Epoch: 9 [12480/49812]	Loss: 1.4270	LR: 0.100000
Training Epoch: 9 [12544/49812]	Loss: 1.4310	LR: 0.100000
Training Epoch: 9 [12608/49812]	Loss: 1.5232	LR: 0.100000
Training Epoch: 9 [12672/49812]	Loss: 1.4103	LR: 0.100000
Training Epoch: 9 [12736/49812]	Loss: 1.4531	LR: 0.100000
Training Epoch: 9 [12800/49812]	Loss: 1.3869	LR: 0.100000
Training Epoch: 9 [12864/49812]	Loss: 1.3028	LR: 0.100000
Training Epoch: 9 [12928/49812]	Loss: 1.4778	LR: 0.100000
Training Epoch: 9 [12992/49812]	Loss: 1.4023	LR: 0.100000
Training Epoch: 9 [13056/49812]	Loss: 1.3396	LR: 0.100000
Training Epoch: 9 [13120/49812]	Loss: 1.4803	LR: 0.100000
Training Epoch: 9 [13184/49812]	Loss: 1.3969	LR: 0.100000
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Training Epoch: 9 [19200/49812]	Loss: 1.2750	LR: 0.100000
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Training Epoch: 9 [19328/49812]	Loss: 1.5550	LR: 0.100000
Training Epoch: 9 [19392/49812]	Loss: 1.5834	LR: 0.100000
Training Epoch: 9 [19456/49812]	Loss: 1.4402	LR: 0.100000
Training Epoch: 9 [19520/49812]	Loss: 1.2193	LR: 0.100000
Training Epoch: 9 [19584/49812]	Loss: 1.6295	LR: 0.100000
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Training Epoch: 9 [20032/49812]	Loss: 1.3458	LR: 0.100000
Training Epoch: 9 [20096/49812]	Loss: 1.2573	LR: 0.100000
Training Epoch: 9 [20160/49812]	Loss: 1.1976	LR: 0.100000
Training Epoch: 9 [20224/49812]	Loss: 1.5348	LR: 0.100000
Training Epoch: 9 [20288/49812]	Loss: 1.5400	LR: 0.100000
Training Epoch: 9 [20352/49812]	Loss: 1.6658	LR: 0.100000
Training Epoch: 9 [20416/49812]	Loss: 1.1810	LR: 0.100000
Training Epoch: 9 [20480/49812]	Loss: 1.3421	LR: 0.100000
Training Epoch: 9 [20544/49812]	Loss: 1.2683	LR: 0.100000
Training Epoch: 9 [20608/49812]	Loss: 1.5779	LR: 0.100000
Training Epoch: 9 [20672/49812]	Loss: 0.9946	LR: 0.100000
Training Epoch: 9 [20736/49812]	Loss: 1.2932	LR: 0.100000
Training Epoch: 9 [20800/49812]	Loss: 1.4896	LR: 0.100000
Training Epoch: 9 [20864/49812]	Loss: 1.5236	LR: 0.100000
Training Epoch: 9 [20928/49812]	Loss: 1.6266	LR: 0.100000
Training Epoch: 9 [20992/49812]	Loss: 1.6694	LR: 0.100000
Training Epoch: 9 [21056/49812]	Loss: 1.0751	LR: 0.100000
Training Epoch: 9 [21120/49812]	Loss: 1.2811	LR: 0.100000
Training Epoch: 9 [21184/49812]	Loss: 1.3191	LR: 0.100000
Training Epoch: 9 [21248/49812]	Loss: 1.2586	LR: 0.100000
Training Epoch: 9 [21312/49812]	Loss: 1.4555	LR: 0.100000
Training Epoch: 9 [21376/49812]	Loss: 1.6761	LR: 0.100000
Training Epoch: 9 [21440/49812]	Loss: 1.5393	LR: 0.100000
Training Epoch: 9 [21504/49812]	Loss: 1.5408	LR: 0.100000
Training Epoch: 9 [21568/49812]	Loss: 1.4265	LR: 0.100000
Training Epoch: 9 [21632/49812]	Loss: 1.2901	LR: 0.100000
Training Epoch: 9 [21696/49812]	Loss: 1.4632	LR: 0.100000
Training Epoch: 9 [21760/49812]	Loss: 1.5611	LR: 0.100000
Training Epoch: 9 [21824/49812]	Loss: 1.2760	LR: 0.100000
Training Epoch: 9 [21888/49812]	Loss: 1.7265	LR: 0.100000
Training Epoch: 9 [21952/49812]	Loss: 1.7278	LR: 0.100000
Training Epoch: 9 [22016/49812]	Loss: 1.2858	LR: 0.100000
Training Epoch: 9 [22080/49812]	Loss: 1.3228	LR: 0.100000
Training Epoch: 9 [22144/49812]	Loss: 1.5234	LR: 0.100000
Training Epoch: 9 [22208/49812]	Loss: 1.4620	LR: 0.100000
Training Epoch: 9 [22272/49812]	Loss: 1.8057	LR: 0.100000
Training Epoch: 9 [22336/49812]	Loss: 1.4067	LR: 0.100000
Training Epoch: 9 [22400/49812]	Loss: 1.2191	LR: 0.100000
Training Epoch: 9 [22464/49812]	Loss: 1.3969	LR: 0.100000
Training Epoch: 9 [22528/49812]	Loss: 1.4377	LR: 0.100000
Training Epoch: 9 [22592/49812]	Loss: 1.3695	LR: 0.100000
Training Epoch: 9 [22656/49812]	Loss: 1.6105	LR: 0.100000
Training Epoch: 9 [22720/49812]	Loss: 1.5447	LR: 0.100000
Training Epoch: 9 [22784/49812]	Loss: 1.2885	LR: 0.100000
Training Epoch: 9 [22848/49812]	Loss: 1.3770	LR: 0.100000
Training Epoch: 9 [22912/49812]	Loss: 1.1582	LR: 0.100000
Training Epoch: 9 [22976/49812]	Loss: 1.5549	LR: 0.100000
Training Epoch: 9 [23040/49812]	Loss: 1.7471	LR: 0.100000
Training Epoch: 9 [23104/49812]	Loss: 1.5915	LR: 0.100000
Training Epoch: 9 [23168/49812]	Loss: 1.2750	LR: 0.100000
Training Epoch: 9 [23232/49812]	Loss: 1.2600	LR: 0.100000
Training Epoch: 9 [23296/49812]	Loss: 1.6497	LR: 0.100000
Training Epoch: 9 [23360/49812]	Loss: 1.3505	LR: 0.100000
Training Epoch: 9 [23424/49812]	Loss: 1.1366	LR: 0.100000
Training Epoch: 9 [23488/49812]	Loss: 1.6165	LR: 0.100000
Training Epoch: 9 [23552/49812]	Loss: 1.3369	LR: 0.100000
Training Epoch: 9 [23616/49812]	Loss: 1.6041	LR: 0.100000
Training Epoch: 9 [23680/49812]	Loss: 1.5478	LR: 0.100000
Training Epoch: 9 [23744/49812]	Loss: 1.6086	LR: 0.100000
Training Epoch: 9 [23808/49812]	Loss: 1.3798	LR: 0.100000
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Training Epoch: 9 [23936/49812]	Loss: 1.2993	LR: 0.100000
Training Epoch: 9 [24000/49812]	Loss: 1.4338	LR: 0.100000
Training Epoch: 9 [24064/49812]	Loss: 1.2248	LR: 0.100000
Training Epoch: 9 [24128/49812]	Loss: 1.3696	LR: 0.100000
Training Epoch: 9 [24192/49812]	Loss: 1.4473	LR: 0.100000
Training Epoch: 9 [24256/49812]	Loss: 1.3639	LR: 0.100000
Training Epoch: 9 [24320/49812]	Loss: 1.4632	LR: 0.100000
Training Epoch: 9 [24384/49812]	Loss: 1.2989	LR: 0.100000
Training Epoch: 9 [24448/49812]	Loss: 1.1337	LR: 0.100000
Training Epoch: 9 [24512/49812]	Loss: 1.2590	LR: 0.100000
Training Epoch: 9 [24576/49812]	Loss: 1.2337	LR: 0.100000
Training Epoch: 9 [24640/49812]	Loss: 1.4334	LR: 0.100000
Training Epoch: 9 [24704/49812]	Loss: 1.3484	LR: 0.100000
Training Epoch: 9 [24768/49812]	Loss: 1.4653	LR: 0.100000
Training Epoch: 9 [24832/49812]	Loss: 1.3882	LR: 0.100000
Training Epoch: 9 [24896/49812]	Loss: 1.3597	LR: 0.100000
Training Epoch: 9 [24960/49812]	Loss: 1.8298	LR: 0.100000
Training Epoch: 9 [25024/49812]	Loss: 1.2808	LR: 0.100000
Training Epoch: 9 [25088/49812]	Loss: 1.1546	LR: 0.100000
Training Epoch: 9 [25152/49812]	Loss: 1.1158	LR: 0.100000
Training Epoch: 9 [25216/49812]	Loss: 1.5728	LR: 0.100000
Training Epoch: 9 [25280/49812]	Loss: 1.2766	LR: 0.100000
Training Epoch: 9 [25344/49812]	Loss: 1.4037	LR: 0.100000
Training Epoch: 9 [25408/49812]	Loss: 0.9803	LR: 0.100000
Training Epoch: 9 [25472/49812]	Loss: 1.4663	LR: 0.100000
Training Epoch: 9 [25536/49812]	Loss: 1.3040	LR: 0.100000
Training Epoch: 9 [25600/49812]	Loss: 1.6459	LR: 0.100000
Training Epoch: 9 [25664/49812]	Loss: 1.5960	LR: 0.100000
Training Epoch: 9 [25728/49812]	Loss: 1.4984	LR: 0.100000
Training Epoch: 9 [25792/49812]	Loss: 1.3871	LR: 0.100000
Training Epoch: 9 [25856/49812]	Loss: 1.3229	LR: 0.100000
Training Epoch: 9 [25920/49812]	Loss: 1.4178	LR: 0.100000
Training Epoch: 9 [25984/49812]	Loss: 1.5275	LR: 0.100000
Training Epoch: 9 [26048/49812]	Loss: 1.7165	LR: 0.100000
Training Epoch: 9 [26112/49812]	Loss: 1.7794	LR: 0.100000
Training Epoch: 9 [26176/49812]	Loss: 1.2403	LR: 0.100000
Training Epoch: 9 [26240/49812]	Loss: 1.4440	LR: 0.100000
Training Epoch: 9 [26304/49812]	Loss: 1.3602	LR: 0.100000
Training Epoch: 9 [26368/49812]	Loss: 1.4683	LR: 0.100000
Training Epoch: 9 [26432/49812]	Loss: 1.5519	LR: 0.100000
Training Epoch: 9 [26496/49812]	Loss: 1.8561	LR: 0.100000
Training Epoch: 9 [26560/49812]	Loss: 1.3627	LR: 0.100000
Training Epoch: 9 [26624/49812]	Loss: 1.2855	LR: 0.100000
Training Epoch: 9 [26688/49812]	Loss: 1.5732	LR: 0.100000
Training Epoch: 9 [26752/49812]	Loss: 1.6505	LR: 0.100000
Training Epoch: 9 [26816/49812]	Loss: 1.4732	LR: 0.100000
Training Epoch: 9 [26880/49812]	Loss: 1.5086	LR: 0.100000
Training Epoch: 9 [26944/49812]	Loss: 1.3520	LR: 0.100000
Training Epoch: 9 [27008/49812]	Loss: 1.4461	LR: 0.100000
Training Epoch: 9 [27072/49812]	Loss: 1.5869	LR: 0.100000
Training Epoch: 9 [27136/49812]	Loss: 1.4455	LR: 0.100000
Training Epoch: 9 [27200/49812]	Loss: 1.3919	LR: 0.100000
Training Epoch: 9 [27264/49812]	Loss: 1.4079	LR: 0.100000
Training Epoch: 9 [27328/49812]	Loss: 1.5317	LR: 0.100000
Training Epoch: 9 [27392/49812]	Loss: 1.6858	LR: 0.100000
Training Epoch: 9 [27456/49812]	Loss: 1.2145	LR: 0.100000
Training Epoch: 9 [27520/49812]	Loss: 1.2935	LR: 0.100000
Training Epoch: 9 [27584/49812]	Loss: 1.5508	LR: 0.100000
Training Epoch: 9 [27648/49812]	Loss: 1.1758	LR: 0.100000
Training Epoch: 9 [27712/49812]	Loss: 1.3271	LR: 0.100000
Training Epoch: 9 [27776/49812]	Loss: 1.3592	LR: 0.100000
Training Epoch: 9 [27840/49812]	Loss: 1.1490	LR: 0.100000
Training Epoch: 9 [27904/49812]	Loss: 1.3122	LR: 0.100000
Training Epoch: 9 [27968/49812]	Loss: 1.5787	LR: 0.100000
Training Epoch: 9 [28032/49812]	Loss: 1.2076	LR: 0.100000
Training Epoch: 9 [28096/49812]	Loss: 1.4311	LR: 0.100000
Training Epoch: 9 [28160/49812]	Loss: 1.2084	LR: 0.100000
Training Epoch: 9 [28224/49812]	Loss: 1.6871	LR: 0.100000
Training Epoch: 9 [28288/49812]	Loss: 1.7856	LR: 0.100000
Training Epoch: 9 [28352/49812]	Loss: 1.6787	LR: 0.100000
Training Epoch: 9 [28416/49812]	Loss: 1.2531	LR: 0.100000
Training Epoch: 9 [28480/49812]	Loss: 1.1271	LR: 0.100000
Training Epoch: 9 [28544/49812]	Loss: 1.3720	LR: 0.100000
Training Epoch: 9 [28608/49812]	Loss: 1.7356	LR: 0.100000
Training Epoch: 9 [28672/49812]	Loss: 1.2156	LR: 0.100000
Training Epoch: 9 [28736/49812]	Loss: 1.4151	LR: 0.100000
Training Epoch: 9 [28800/49812]	Loss: 1.5672	LR: 0.100000
Training Epoch: 9 [28864/49812]	Loss: 1.3525	LR: 0.100000
Training Epoch: 9 [28928/49812]	Loss: 1.3397	LR: 0.100000
Training Epoch: 9 [28992/49812]	Loss: 1.3248	LR: 0.100000
Training Epoch: 9 [29056/49812]	Loss: 1.3672	LR: 0.100000
Training Epoch: 9 [29120/49812]	Loss: 1.2023	LR: 0.100000
Training Epoch: 9 [29184/49812]	Loss: 1.4160	LR: 0.100000
Training Epoch: 9 [29248/49812]	Loss: 0.9558	LR: 0.100000
Training Epoch: 9 [29312/49812]	Loss: 1.4447	LR: 0.100000
Training Epoch: 9 [29376/49812]	Loss: 1.4878	LR: 0.100000
Training Epoch: 9 [29440/49812]	Loss: 1.3525	LR: 0.100000
Training Epoch: 9 [29504/49812]	Loss: 1.4082	LR: 0.100000
Training Epoch: 9 [29568/49812]	Loss: 1.3718	LR: 0.100000
Training Epoch: 9 [29632/49812]	Loss: 1.4533	LR: 0.100000
Training Epoch: 9 [29696/49812]	Loss: 1.4277	LR: 0.100000
Training Epoch: 9 [29760/49812]	Loss: 1.7479	LR: 0.100000
Training Epoch: 9 [29824/49812]	Loss: 1.5318	LR: 0.100000
Training Epoch: 9 [29888/49812]	Loss: 1.2987	LR: 0.100000
Training Epoch: 9 [29952/49812]	Loss: 1.2989	LR: 0.100000
Training Epoch: 9 [30016/49812]	Loss: 1.1263	LR: 0.100000
Training Epoch: 9 [30080/49812]	Loss: 1.7082	LR: 0.100000
Training Epoch: 9 [30144/49812]	Loss: 1.1154	LR: 0.100000
Training Epoch: 9 [30208/49812]	Loss: 1.2985	LR: 0.100000
Training Epoch: 9 [30272/49812]	Loss: 1.5482	LR: 0.100000
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Training Epoch: 9 [30528/49812]	Loss: 1.4172	LR: 0.100000
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Training Epoch: 9 [30656/49812]	Loss: 1.3767	LR: 0.100000
Training Epoch: 9 [30720/49812]	Loss: 1.3211	LR: 0.100000
Training Epoch: 9 [30784/49812]	Loss: 1.2350	LR: 0.100000
Training Epoch: 9 [30848/49812]	Loss: 1.6379	LR: 0.100000
Training Epoch: 9 [30912/49812]	Loss: 1.5806	LR: 0.100000
Training Epoch: 9 [30976/49812]	Loss: 1.2412	LR: 0.100000
Training Epoch: 9 [31040/49812]	Loss: 1.6393	LR: 0.100000
Training Epoch: 9 [31104/49812]	Loss: 1.8489	LR: 0.100000
Training Epoch: 9 [31168/49812]	Loss: 1.4363	LR: 0.100000
Training Epoch: 9 [31232/49812]	Loss: 1.3496	LR: 0.100000
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Training Epoch: 9 [31360/49812]	Loss: 1.3949	LR: 0.100000
Training Epoch: 9 [31424/49812]	Loss: 0.9684	LR: 0.100000
Training Epoch: 9 [31488/49812]	Loss: 1.4262	LR: 0.100000
Training Epoch: 9 [31552/49812]	Loss: 1.5557	LR: 0.100000
Training Epoch: 9 [31616/49812]	Loss: 1.5070	LR: 0.100000
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Training Epoch: 9 [31744/49812]	Loss: 1.2875	LR: 0.100000
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Training Epoch: 9 [31872/49812]	Loss: 1.4993	LR: 0.100000
Training Epoch: 9 [31936/49812]	Loss: 1.1186	LR: 0.100000
Training Epoch: 9 [32000/49812]	Loss: 1.2772	LR: 0.100000
Training Epoch: 9 [32064/49812]	Loss: 1.3988	LR: 0.100000
Training Epoch: 9 [32128/49812]	Loss: 1.7058	LR: 0.100000
Training Epoch: 9 [32192/49812]	Loss: 1.2553	LR: 0.100000
Training Epoch: 9 [32256/49812]	Loss: 1.5501	LR: 0.100000
Training Epoch: 9 [32320/49812]	Loss: 1.6689	LR: 0.100000
Training Epoch: 9 [32384/49812]	Loss: 1.4571	LR: 0.100000
Training Epoch: 9 [32448/49812]	Loss: 1.6957	LR: 0.100000
Training Epoch: 9 [32512/49812]	Loss: 1.3276	LR: 0.100000
Training Epoch: 9 [32576/49812]	Loss: 1.5560	LR: 0.100000
Training Epoch: 9 [32640/49812]	Loss: 1.3227	LR: 0.100000
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Training Epoch: 9 [32768/49812]	Loss: 1.1344	LR: 0.100000
Training Epoch: 9 [32832/49812]	Loss: 1.3441	LR: 0.100000
Training Epoch: 9 [32896/49812]	Loss: 1.2681	LR: 0.100000
Training Epoch: 9 [32960/49812]	Loss: 1.3644	LR: 0.100000
Training Epoch: 9 [33024/49812]	Loss: 1.5991	LR: 0.100000
Training Epoch: 9 [33088/49812]	Loss: 1.4635	LR: 0.100000
Training Epoch: 9 [33152/49812]	Loss: 1.5803	LR: 0.100000
Training Epoch: 9 [33216/49812]	Loss: 1.0830	LR: 0.100000
Training Epoch: 9 [33280/49812]	Loss: 1.2603	LR: 0.100000
Training Epoch: 9 [33344/49812]	Loss: 1.2770	LR: 0.100000
Training Epoch: 9 [33408/49812]	Loss: 1.4023	LR: 0.100000
Training Epoch: 9 [33472/49812]	Loss: 1.5119	LR: 0.100000
Training Epoch: 9 [33536/49812]	Loss: 1.6538	LR: 0.100000
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Training Epoch: 9 [33664/49812]	Loss: 1.5348	LR: 0.100000
Training Epoch: 9 [33728/49812]	Loss: 1.6183	LR: 0.100000
Training Epoch: 9 [33792/49812]	Loss: 1.6313	LR: 0.100000
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Training Epoch: 9 [33984/49812]	Loss: 1.6898	LR: 0.100000
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Training Epoch: 9 [34368/49812]	Loss: 1.5014	LR: 0.100000
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Training Epoch: 9 [34944/49812]	Loss: 1.2739	LR: 0.100000
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Training Epoch: 9 [35328/49812]	Loss: 1.1070	LR: 0.100000
Training Epoch: 9 [35392/49812]	Loss: 1.4049	LR: 0.100000
Training Epoch: 9 [35456/49812]	Loss: 1.4673	LR: 0.100000
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Training Epoch: 9 [36352/49812]	Loss: 1.3758	LR: 0.100000
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Training Epoch: 9 [36480/49812]	Loss: 1.6564	LR: 0.100000
Training Epoch: 9 [36544/49812]	Loss: 1.4064	LR: 0.100000
Training Epoch: 9 [36608/49812]	Loss: 1.3992	LR: 0.100000
Training Epoch: 9 [36672/49812]	Loss: 1.3035	LR: 0.100000
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Training Epoch: 9 [36992/49812]	Loss: 1.4210	LR: 0.100000
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Training Epoch: 9 [38272/49812]	Loss: 1.3092	LR: 0.100000
Training Epoch: 9 [38336/49812]	Loss: 1.3339	LR: 0.100000
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Epoch 9 - Average Train Loss: 1.4278, Train Accuracy: 0.5454
Epoch 9 training time consumed: 263.24s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0248, Accuracy: 0.5145, Time consumed:17.10s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-9-best.pth
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Training Epoch: 10 [7744/49812]	Loss: 1.3810	LR: 0.100000
Training Epoch: 10 [7808/49812]	Loss: 1.7458	LR: 0.100000
Training Epoch: 10 [7872/49812]	Loss: 1.2267	LR: 0.100000
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Training Epoch: 10 [8192/49812]	Loss: 1.2661	LR: 0.100000
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Training Epoch: 10 [8320/49812]	Loss: 1.4922	LR: 0.100000
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Training Epoch: 10 [8448/49812]	Loss: 1.2308	LR: 0.100000
Training Epoch: 10 [8512/49812]	Loss: 1.2537	LR: 0.100000
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Training Epoch: 10 [8832/49812]	Loss: 1.3935	LR: 0.100000
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Training Epoch: 10 [8960/49812]	Loss: 1.4592	LR: 0.100000
Training Epoch: 10 [9024/49812]	Loss: 1.5744	LR: 0.100000
Training Epoch: 10 [9088/49812]	Loss: 1.2670	LR: 0.100000
Training Epoch: 10 [9152/49812]	Loss: 1.4852	LR: 0.100000
Training Epoch: 10 [9216/49812]	Loss: 1.3402	LR: 0.100000
Training Epoch: 10 [9280/49812]	Loss: 1.3760	LR: 0.100000
Training Epoch: 10 [9344/49812]	Loss: 1.4088	LR: 0.100000
Training Epoch: 10 [9408/49812]	Loss: 1.2234	LR: 0.100000
Training Epoch: 10 [9472/49812]	Loss: 1.9152	LR: 0.100000
Training Epoch: 10 [9536/49812]	Loss: 1.2592	LR: 0.100000
Training Epoch: 10 [9600/49812]	Loss: 1.5273	LR: 0.100000
Training Epoch: 10 [9664/49812]	Loss: 1.6734	LR: 0.100000
Training Epoch: 10 [9728/49812]	Loss: 1.1277	LR: 0.100000
Training Epoch: 10 [9792/49812]	Loss: 1.3202	LR: 0.100000
Training Epoch: 10 [9856/49812]	Loss: 1.2425	LR: 0.100000
Training Epoch: 10 [9920/49812]	Loss: 1.6299	LR: 0.100000
Training Epoch: 10 [9984/49812]	Loss: 1.1432	LR: 0.100000
Training Epoch: 10 [10048/49812]	Loss: 1.4906	LR: 0.100000
Training Epoch: 10 [10112/49812]	Loss: 1.1687	LR: 0.100000
Training Epoch: 10 [10176/49812]	Loss: 1.5693	LR: 0.100000
Training Epoch: 10 [10240/49812]	Loss: 1.1698	LR: 0.100000
Training Epoch: 10 [10304/49812]	Loss: 1.4653	LR: 0.100000
Training Epoch: 10 [10368/49812]	Loss: 1.5975	LR: 0.100000
Training Epoch: 10 [10432/49812]	Loss: 1.5263	LR: 0.100000
Training Epoch: 10 [10496/49812]	Loss: 1.3235	LR: 0.100000
Training Epoch: 10 [10560/49812]	Loss: 1.4591	LR: 0.100000
Training Epoch: 10 [10624/49812]	Loss: 1.1310	LR: 0.100000
Training Epoch: 10 [10688/49812]	Loss: 1.4010	LR: 0.100000
Training Epoch: 10 [10752/49812]	Loss: 1.3791	LR: 0.100000
Training Epoch: 10 [10816/49812]	Loss: 1.4812	LR: 0.100000
Training Epoch: 10 [10880/49812]	Loss: 1.4680	LR: 0.100000
Training Epoch: 10 [10944/49812]	Loss: 1.3890	LR: 0.100000
Training Epoch: 10 [11008/49812]	Loss: 1.4927	LR: 0.100000
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Training Epoch: 10 [11136/49812]	Loss: 1.4074	LR: 0.100000
Training Epoch: 10 [11200/49812]	Loss: 1.7190	LR: 0.100000
Training Epoch: 10 [11264/49812]	Loss: 1.6140	LR: 0.100000
Training Epoch: 10 [11328/49812]	Loss: 1.5297	LR: 0.100000
Training Epoch: 10 [11392/49812]	Loss: 1.4535	LR: 0.100000
Training Epoch: 10 [11456/49812]	Loss: 1.5664	LR: 0.100000
Training Epoch: 10 [11520/49812]	Loss: 1.2755	LR: 0.100000
Training Epoch: 10 [11584/49812]	Loss: 1.5944	LR: 0.100000
Training Epoch: 10 [11648/49812]	Loss: 1.6608	LR: 0.100000
Training Epoch: 10 [11712/49812]	Loss: 1.3982	LR: 0.100000
Training Epoch: 10 [11776/49812]	Loss: 1.1351	LR: 0.100000
Training Epoch: 10 [11840/49812]	Loss: 1.3389	LR: 0.100000
Training Epoch: 10 [11904/49812]	Loss: 1.5798	LR: 0.100000
Training Epoch: 10 [11968/49812]	Loss: 1.2229	LR: 0.100000
Training Epoch: 10 [12032/49812]	Loss: 1.3753	LR: 0.100000
Training Epoch: 10 [12096/49812]	Loss: 1.8102	LR: 0.100000
Training Epoch: 10 [12160/49812]	Loss: 1.5074	LR: 0.100000
Training Epoch: 10 [12224/49812]	Loss: 1.3999	LR: 0.100000
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Training Epoch: 10 [12352/49812]	Loss: 1.4022	LR: 0.100000
Training Epoch: 10 [12416/49812]	Loss: 1.3809	LR: 0.100000
Training Epoch: 10 [12480/49812]	Loss: 1.5231	LR: 0.100000
Training Epoch: 10 [12544/49812]	Loss: 1.4755	LR: 0.100000
Training Epoch: 10 [12608/49812]	Loss: 1.4267	LR: 0.100000
Training Epoch: 10 [12672/49812]	Loss: 1.7042	LR: 0.100000
Training Epoch: 10 [12736/49812]	Loss: 1.3574	LR: 0.100000
Training Epoch: 10 [12800/49812]	Loss: 1.4125	LR: 0.100000
Training Epoch: 10 [12864/49812]	Loss: 1.3281	LR: 0.100000
Training Epoch: 10 [12928/49812]	Loss: 1.4386	LR: 0.100000
Training Epoch: 10 [12992/49812]	Loss: 1.3933	LR: 0.100000
Training Epoch: 10 [13056/49812]	Loss: 1.1514	LR: 0.100000
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Training Epoch: 10 [13312/49812]	Loss: 1.2510	LR: 0.100000
Training Epoch: 10 [13376/49812]	Loss: 1.1600	LR: 0.100000
Training Epoch: 10 [13440/49812]	Loss: 1.5071	LR: 0.100000
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Training Epoch: 10 [13568/49812]	Loss: 1.3848	LR: 0.100000
Training Epoch: 10 [13632/49812]	Loss: 1.4604	LR: 0.100000
Training Epoch: 10 [13696/49812]	Loss: 1.2021	LR: 0.100000
Training Epoch: 10 [13760/49812]	Loss: 1.4351	LR: 0.100000
Training Epoch: 10 [13824/49812]	Loss: 1.5410	LR: 0.100000
Training Epoch: 10 [13888/49812]	Loss: 1.3041	LR: 0.100000
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Training Epoch: 10 [14080/49812]	Loss: 0.9685	LR: 0.100000
Training Epoch: 10 [14144/49812]	Loss: 1.6933	LR: 0.100000
Training Epoch: 10 [14208/49812]	Loss: 1.3610	LR: 0.100000
Training Epoch: 10 [14272/49812]	Loss: 1.8471	LR: 0.100000
Training Epoch: 10 [14336/49812]	Loss: 1.1876	LR: 0.100000
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Training Epoch: 10 [14464/49812]	Loss: 1.5449	LR: 0.100000
Training Epoch: 10 [14528/49812]	Loss: 1.4137	LR: 0.100000
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Training Epoch: 10 [14656/49812]	Loss: 1.2197	LR: 0.100000
Training Epoch: 10 [14720/49812]	Loss: 1.4446	LR: 0.100000
Training Epoch: 10 [14784/49812]	Loss: 1.1613	LR: 0.100000
Training Epoch: 10 [14848/49812]	Loss: 1.3381	LR: 0.100000
Training Epoch: 10 [14912/49812]	Loss: 1.1334	LR: 0.100000
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Training Epoch: 10 [15424/49812]	Loss: 1.0859	LR: 0.100000
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Training Epoch: 10 [15616/49812]	Loss: 1.5349	LR: 0.100000
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Training Epoch: 10 [15744/49812]	Loss: 1.4361	LR: 0.100000
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Training Epoch: 10 [16320/49812]	Loss: 1.3155	LR: 0.100000
Training Epoch: 10 [16384/49812]	Loss: 1.3165	LR: 0.100000
Training Epoch: 10 [16448/49812]	Loss: 1.1048	LR: 0.100000
Training Epoch: 10 [16512/49812]	Loss: 1.7268	LR: 0.100000
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Training Epoch: 10 [16896/49812]	Loss: 1.3140	LR: 0.100000
Training Epoch: 10 [16960/49812]	Loss: 1.5651	LR: 0.100000
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Training Epoch: 10 [17088/49812]	Loss: 1.3928	LR: 0.100000
Training Epoch: 10 [17152/49812]	Loss: 1.4408	LR: 0.100000
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Training Epoch: 10 [17344/49812]	Loss: 1.2637	LR: 0.100000
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Training Epoch: 10 [17856/49812]	Loss: 1.6618	LR: 0.100000
Training Epoch: 10 [17920/49812]	Loss: 1.1447	LR: 0.100000
Training Epoch: 10 [17984/49812]	Loss: 1.7232	LR: 0.100000
Training Epoch: 10 [18048/49812]	Loss: 1.4883	LR: 0.100000
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Training Epoch: 10 [18176/49812]	Loss: 1.3487	LR: 0.100000
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Training Epoch: 10 [18496/49812]	Loss: 1.4146	LR: 0.100000
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Training Epoch: 10 [19904/49812]	Loss: 1.3528	LR: 0.100000
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Training Epoch: 10 [20032/49812]	Loss: 1.4151	LR: 0.100000
Training Epoch: 10 [20096/49812]	Loss: 1.3926	LR: 0.100000
Training Epoch: 10 [20160/49812]	Loss: 1.3638	LR: 0.100000
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Training Epoch: 10 [20608/49812]	Loss: 1.6022	LR: 0.100000
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Training Epoch: 10 [20928/49812]	Loss: 1.1128	LR: 0.100000
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Training Epoch: 10 [21184/49812]	Loss: 1.2269	LR: 0.100000
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Training Epoch: 10 [21568/49812]	Loss: 0.9365	LR: 0.100000
Training Epoch: 10 [21632/49812]	Loss: 1.4020	LR: 0.100000
Training Epoch: 10 [21696/49812]	Loss: 1.3451	LR: 0.100000
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Training Epoch: 10 [21888/49812]	Loss: 1.3979	LR: 0.100000
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Training Epoch: 10 [22080/49812]	Loss: 1.6365	LR: 0.100000
Training Epoch: 10 [22144/49812]	Loss: 1.3150	LR: 0.100000
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Training Epoch: 10 [22528/49812]	Loss: 1.6490	LR: 0.100000
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Training Epoch: 10 [22656/49812]	Loss: 1.4339	LR: 0.100000
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Training Epoch: 10 [24832/49812]	Loss: 1.1969	LR: 0.100000
Training Epoch: 10 [24896/49812]	Loss: 1.3635	LR: 0.100000
Training Epoch: 10 [24960/49812]	Loss: 1.5209	LR: 0.100000
Training Epoch: 10 [25024/49812]	Loss: 1.3228	LR: 0.100000
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Training Epoch: 10 [26432/49812]	Loss: 1.3086	LR: 0.100000
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Training Epoch: 10 [26624/49812]	Loss: 1.2475	LR: 0.100000
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Training Epoch: 10 [26880/49812]	Loss: 1.3605	LR: 0.100000
Training Epoch: 10 [26944/49812]	Loss: 1.4711	LR: 0.100000
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Training Epoch: 10 [46144/49812]	Loss: 1.5832	LR: 0.100000
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Training Epoch: 10 [48256/49812]	Loss: 1.3983	LR: 0.100000
Training Epoch: 10 [48320/49812]	Loss: 1.3193	LR: 0.100000
Training Epoch: 10 [48384/49812]	Loss: 1.5312	LR: 0.100000
Training Epoch: 10 [48448/49812]	Loss: 1.3232	LR: 0.100000
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Training Epoch: 10 [48576/49812]	Loss: 1.6500	LR: 0.100000
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Training Epoch: 10 [48704/49812]	Loss: 1.7383	LR: 0.100000
Training Epoch: 10 [48768/49812]	Loss: 1.3308	LR: 0.100000
Training Epoch: 10 [48832/49812]	Loss: 1.4340	LR: 0.100000
Training Epoch: 10 [48896/49812]	Loss: 1.5032	LR: 0.100000
Training Epoch: 10 [48960/49812]	Loss: 1.2455	LR: 0.100000
Training Epoch: 10 [49024/49812]	Loss: 1.3821	LR: 0.100000
Training Epoch: 10 [49088/49812]	Loss: 1.3195	LR: 0.100000
Training Epoch: 10 [49152/49812]	Loss: 1.5842	LR: 0.100000
Training Epoch: 10 [49216/49812]	Loss: 1.3713	LR: 0.100000
Training Epoch: 10 [49280/49812]	Loss: 1.3314	LR: 0.100000
Training Epoch: 10 [49344/49812]	Loss: 1.4409	LR: 0.100000
Training Epoch: 10 [49408/49812]	Loss: 1.4622	LR: 0.100000
Training Epoch: 10 [49472/49812]	Loss: 1.7932	LR: 0.100000
Training Epoch: 10 [49536/49812]	Loss: 1.3623	LR: 0.100000
Training Epoch: 10 [49600/49812]	Loss: 1.1657	LR: 0.100000
Training Epoch: 10 [49664/49812]	Loss: 1.6034	LR: 0.100000
Training Epoch: 10 [49728/49812]	Loss: 1.3833	LR: 0.100000
Training Epoch: 10 [49792/49812]	Loss: 1.3888	LR: 0.100000
Training Epoch: 10 [49812/49812]	Loss: 1.1043	LR: 0.100000
Epoch 10 - Average Train Loss: 1.3927, Train Accuracy: 0.5590
Epoch 10 training time consumed: 264.62s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0289, Accuracy: 0.4754, Time consumed:18.09s
Training Epoch: 11 [64/49812]	Loss: 1.4452	LR: 0.100000
Training Epoch: 11 [128/49812]	Loss: 1.4085	LR: 0.100000
Training Epoch: 11 [192/49812]	Loss: 1.3569	LR: 0.100000
Training Epoch: 11 [256/49812]	Loss: 1.4043	LR: 0.100000
Training Epoch: 11 [320/49812]	Loss: 1.3663	LR: 0.100000
Training Epoch: 11 [384/49812]	Loss: 1.4696	LR: 0.100000
Training Epoch: 11 [448/49812]	Loss: 0.9803	LR: 0.100000
Training Epoch: 11 [512/49812]	Loss: 1.0523	LR: 0.100000
Training Epoch: 11 [576/49812]	Loss: 1.2343	LR: 0.100000
Training Epoch: 11 [640/49812]	Loss: 1.5804	LR: 0.100000
Training Epoch: 11 [704/49812]	Loss: 1.3999	LR: 0.100000
Training Epoch: 11 [768/49812]	Loss: 1.4725	LR: 0.100000
Training Epoch: 11 [832/49812]	Loss: 1.3212	LR: 0.100000
Training Epoch: 11 [896/49812]	Loss: 1.6995	LR: 0.100000
Training Epoch: 11 [960/49812]	Loss: 1.3261	LR: 0.100000
Training Epoch: 11 [1024/49812]	Loss: 1.3266	LR: 0.100000
Training Epoch: 11 [1088/49812]	Loss: 1.3123	LR: 0.100000
Training Epoch: 11 [1152/49812]	Loss: 1.5926	LR: 0.100000
Training Epoch: 11 [1216/49812]	Loss: 1.6024	LR: 0.100000
Training Epoch: 11 [1280/49812]	Loss: 1.3248	LR: 0.100000
Training Epoch: 11 [1344/49812]	Loss: 1.2718	LR: 0.100000
Training Epoch: 11 [1408/49812]	Loss: 1.2205	LR: 0.100000
Training Epoch: 11 [1472/49812]	Loss: 1.3670	LR: 0.100000
Training Epoch: 11 [1536/49812]	Loss: 1.0918	LR: 0.100000
Training Epoch: 11 [1600/49812]	Loss: 1.4663	LR: 0.100000
Training Epoch: 11 [1664/49812]	Loss: 1.1912	LR: 0.100000
Training Epoch: 11 [1728/49812]	Loss: 1.2420	LR: 0.100000
Training Epoch: 11 [1792/49812]	Loss: 1.5790	LR: 0.100000
Training Epoch: 11 [1856/49812]	Loss: 1.5065	LR: 0.100000
Training Epoch: 11 [1920/49812]	Loss: 1.5707	LR: 0.100000
Training Epoch: 11 [1984/49812]	Loss: 1.2733	LR: 0.100000
Training Epoch: 11 [2048/49812]	Loss: 1.4768	LR: 0.100000
Training Epoch: 11 [2112/49812]	Loss: 1.2452	LR: 0.100000
Training Epoch: 11 [2176/49812]	Loss: 1.5901	LR: 0.100000
Training Epoch: 11 [2240/49812]	Loss: 1.4434	LR: 0.100000
Training Epoch: 11 [2304/49812]	Loss: 1.3081	LR: 0.100000
Training Epoch: 11 [2368/49812]	Loss: 1.3687	LR: 0.100000
Training Epoch: 11 [2432/49812]	Loss: 1.2888	LR: 0.100000
Training Epoch: 11 [2496/49812]	Loss: 1.1877	LR: 0.100000
Training Epoch: 11 [2560/49812]	Loss: 1.4329	LR: 0.100000
Training Epoch: 11 [2624/49812]	Loss: 1.5353	LR: 0.100000
Training Epoch: 11 [2688/49812]	Loss: 1.5792	LR: 0.100000
Training Epoch: 11 [2752/49812]	Loss: 1.5000	LR: 0.100000
Training Epoch: 11 [2816/49812]	Loss: 1.4240	LR: 0.100000
Training Epoch: 11 [2880/49812]	Loss: 1.2905	LR: 0.100000
Training Epoch: 11 [2944/49812]	Loss: 1.4199	LR: 0.100000
Training Epoch: 11 [3008/49812]	Loss: 1.0481	LR: 0.100000
Training Epoch: 11 [3072/49812]	Loss: 1.2583	LR: 0.100000
Training Epoch: 11 [3136/49812]	Loss: 1.3176	LR: 0.100000
Training Epoch: 11 [3200/49812]	Loss: 1.2855	LR: 0.100000
Training Epoch: 11 [3264/49812]	Loss: 1.2112	LR: 0.100000
Training Epoch: 11 [3328/49812]	Loss: 1.4443	LR: 0.100000
Training Epoch: 11 [3392/49812]	Loss: 1.1252	LR: 0.100000
Training Epoch: 11 [3456/49812]	Loss: 1.1636	LR: 0.100000
Training Epoch: 11 [3520/49812]	Loss: 1.2985	LR: 0.100000
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Training Epoch: 11 [3712/49812]	Loss: 1.3257	LR: 0.100000
Training Epoch: 11 [3776/49812]	Loss: 1.3472	LR: 0.100000
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Training Epoch: 11 [4096/49812]	Loss: 1.3842	LR: 0.100000
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Training Epoch: 11 [4416/49812]	Loss: 1.6266	LR: 0.100000
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Training Epoch: 11 [4992/49812]	Loss: 1.0926	LR: 0.100000
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Training Epoch: 11 [6272/49812]	Loss: 1.4489	LR: 0.100000
Training Epoch: 11 [6336/49812]	Loss: 1.4706	LR: 0.100000
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Training Epoch: 11 [6592/49812]	Loss: 1.1173	LR: 0.100000
Training Epoch: 11 [6656/49812]	Loss: 1.3407	LR: 0.100000
Training Epoch: 11 [6720/49812]	Loss: 1.2783	LR: 0.100000
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Training Epoch: 11 [7168/49812]	Loss: 1.3370	LR: 0.100000
Training Epoch: 11 [7232/49812]	Loss: 1.3937	LR: 0.100000
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Training Epoch: 11 [7360/49812]	Loss: 1.0407	LR: 0.100000
Training Epoch: 11 [7424/49812]	Loss: 1.4573	LR: 0.100000
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Training Epoch: 11 [7552/49812]	Loss: 1.3478	LR: 0.100000
Training Epoch: 11 [7616/49812]	Loss: 1.2588	LR: 0.100000
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Training Epoch: 11 [7744/49812]	Loss: 1.1967	LR: 0.100000
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Training Epoch: 11 [8448/49812]	Loss: 1.4854	LR: 0.100000
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Training Epoch: 11 [9792/49812]	Loss: 1.1840	LR: 0.100000
Training Epoch: 11 [9856/49812]	Loss: 1.2979	LR: 0.100000
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Training Epoch: 11 [9984/49812]	Loss: 1.4984	LR: 0.100000
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Training Epoch: 11 [10112/49812]	Loss: 1.4943	LR: 0.100000
Training Epoch: 11 [10176/49812]	Loss: 1.6137	LR: 0.100000
Training Epoch: 11 [10240/49812]	Loss: 1.6311	LR: 0.100000
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Training Epoch: 11 [10368/49812]	Loss: 1.6045	LR: 0.100000
Training Epoch: 11 [10432/49812]	Loss: 1.4852	LR: 0.100000
Training Epoch: 11 [10496/49812]	Loss: 1.4665	LR: 0.100000
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Training Epoch: 11 [15424/49812]	Loss: 1.4202	LR: 0.100000
Training Epoch: 11 [15488/49812]	Loss: 1.3372	LR: 0.100000
Training Epoch: 11 [15552/49812]	Loss: 1.4558	LR: 0.100000
Training Epoch: 11 [15616/49812]	Loss: 1.5264	LR: 0.100000
Training Epoch: 11 [15680/49812]	Loss: 1.4248	LR: 0.100000
Training Epoch: 11 [15744/49812]	Loss: 1.2782	LR: 0.100000
Training Epoch: 11 [15808/49812]	Loss: 1.3771	LR: 0.100000
Training Epoch: 11 [15872/49812]	Loss: 1.5806	LR: 0.100000
Training Epoch: 11 [15936/49812]	Loss: 1.3926	LR: 0.100000
Training Epoch: 11 [16000/49812]	Loss: 1.4798	LR: 0.100000
Training Epoch: 11 [16064/49812]	Loss: 1.6096	LR: 0.100000
Training Epoch: 11 [16128/49812]	Loss: 1.3731	LR: 0.100000
Training Epoch: 11 [16192/49812]	Loss: 1.4648	LR: 0.100000
Training Epoch: 11 [16256/49812]	Loss: 1.2803	LR: 0.100000
Training Epoch: 11 [16320/49812]	Loss: 1.1902	LR: 0.100000
Training Epoch: 11 [16384/49812]	Loss: 1.2727	LR: 0.100000
Training Epoch: 11 [16448/49812]	Loss: 1.5139	LR: 0.100000
Training Epoch: 11 [16512/49812]	Loss: 1.2518	LR: 0.100000
Training Epoch: 11 [16576/49812]	Loss: 1.5780	LR: 0.100000
Training Epoch: 11 [16640/49812]	Loss: 1.1831	LR: 0.100000
Training Epoch: 11 [16704/49812]	Loss: 1.2426	LR: 0.100000
Training Epoch: 11 [16768/49812]	Loss: 1.3161	LR: 0.100000
Training Epoch: 11 [16832/49812]	Loss: 1.3718	LR: 0.100000
Training Epoch: 11 [16896/49812]	Loss: 1.6143	LR: 0.100000
Training Epoch: 11 [16960/49812]	Loss: 1.4053	LR: 0.100000
Training Epoch: 11 [17024/49812]	Loss: 1.3381	LR: 0.100000
Training Epoch: 11 [17088/49812]	Loss: 1.5544	LR: 0.100000
Training Epoch: 11 [17152/49812]	Loss: 1.4611	LR: 0.100000
Training Epoch: 11 [17216/49812]	Loss: 1.3925	LR: 0.100000
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Training Epoch: 11 [17344/49812]	Loss: 1.1056	LR: 0.100000
Training Epoch: 11 [17408/49812]	Loss: 1.3614	LR: 0.100000
Training Epoch: 11 [17472/49812]	Loss: 1.5210	LR: 0.100000
Training Epoch: 11 [17536/49812]	Loss: 1.3961	LR: 0.100000
Training Epoch: 11 [17600/49812]	Loss: 1.1562	LR: 0.100000
Training Epoch: 11 [17664/49812]	Loss: 1.4158	LR: 0.100000
Training Epoch: 11 [17728/49812]	Loss: 1.3043	LR: 0.100000
Training Epoch: 11 [17792/49812]	Loss: 1.2534	LR: 0.100000
Training Epoch: 11 [17856/49812]	Loss: 1.2860	LR: 0.100000
Training Epoch: 11 [17920/49812]	Loss: 1.0790	LR: 0.100000
Training Epoch: 11 [17984/49812]	Loss: 1.2638	LR: 0.100000
Training Epoch: 11 [18048/49812]	Loss: 1.2822	LR: 0.100000
Training Epoch: 11 [18112/49812]	Loss: 1.4516	LR: 0.100000
Training Epoch: 11 [18176/49812]	Loss: 1.6040	LR: 0.100000
Training Epoch: 11 [18240/49812]	Loss: 1.2726	LR: 0.100000
Training Epoch: 11 [18304/49812]	Loss: 1.4388	LR: 0.100000
Training Epoch: 11 [18368/49812]	Loss: 1.4331	LR: 0.100000
Training Epoch: 11 [18432/49812]	Loss: 1.4169	LR: 0.100000
Training Epoch: 11 [18496/49812]	Loss: 1.2722	LR: 0.100000
Training Epoch: 11 [18560/49812]	Loss: 1.3603	LR: 0.100000
Training Epoch: 11 [18624/49812]	Loss: 1.5437	LR: 0.100000
Training Epoch: 11 [18688/49812]	Loss: 1.4275	LR: 0.100000
Training Epoch: 11 [18752/49812]	Loss: 1.3364	LR: 0.100000
Training Epoch: 11 [18816/49812]	Loss: 1.2559	LR: 0.100000
Training Epoch: 11 [18880/49812]	Loss: 1.2268	LR: 0.100000
Training Epoch: 11 [18944/49812]	Loss: 1.4599	LR: 0.100000
Training Epoch: 11 [19008/49812]	Loss: 1.3826	LR: 0.100000
Training Epoch: 11 [19072/49812]	Loss: 1.4732	LR: 0.100000
Training Epoch: 11 [19136/49812]	Loss: 1.5890	LR: 0.100000
Training Epoch: 11 [19200/49812]	Loss: 1.4015	LR: 0.100000
Training Epoch: 11 [19264/49812]	Loss: 1.0031	LR: 0.100000
Training Epoch: 11 [19328/49812]	Loss: 1.4456	LR: 0.100000
Training Epoch: 11 [19392/49812]	Loss: 1.5698	LR: 0.100000
Training Epoch: 11 [19456/49812]	Loss: 1.3933	LR: 0.100000
Training Epoch: 11 [19520/49812]	Loss: 1.8036	LR: 0.100000
Training Epoch: 11 [19584/49812]	Loss: 1.3128	LR: 0.100000
Training Epoch: 11 [19648/49812]	Loss: 1.7085	LR: 0.100000
Training Epoch: 11 [19712/49812]	Loss: 1.1684	LR: 0.100000
Training Epoch: 11 [19776/49812]	Loss: 1.2694	LR: 0.100000
Training Epoch: 11 [19840/49812]	Loss: 1.4243	LR: 0.100000
Training Epoch: 11 [19904/49812]	Loss: 1.4637	LR: 0.100000
Training Epoch: 11 [19968/49812]	Loss: 1.7818	LR: 0.100000
Training Epoch: 11 [20032/49812]	Loss: 1.2988	LR: 0.100000
Training Epoch: 11 [20096/49812]	Loss: 1.1213	LR: 0.100000
Training Epoch: 11 [20160/49812]	Loss: 1.4331	LR: 0.100000
Training Epoch: 11 [20224/49812]	Loss: 1.7117	LR: 0.100000
Training Epoch: 11 [20288/49812]	Loss: 1.5667	LR: 0.100000
Training Epoch: 11 [20352/49812]	Loss: 1.1455	LR: 0.100000
Training Epoch: 11 [20416/49812]	Loss: 1.2577	LR: 0.100000
Training Epoch: 11 [20480/49812]	Loss: 1.5556	LR: 0.100000
Training Epoch: 11 [20544/49812]	Loss: 1.3558	LR: 0.100000
Training Epoch: 11 [20608/49812]	Loss: 1.3594	LR: 0.100000
Training Epoch: 11 [20672/49812]	Loss: 1.1808	LR: 0.100000
Training Epoch: 11 [20736/49812]	Loss: 1.4225	LR: 0.100000
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Training Epoch: 11 [20864/49812]	Loss: 1.0533	LR: 0.100000
Training Epoch: 11 [20928/49812]	Loss: 1.3253	LR: 0.100000
Training Epoch: 11 [20992/49812]	Loss: 1.2586	LR: 0.100000
Training Epoch: 11 [21056/49812]	Loss: 1.5599	LR: 0.100000
Training Epoch: 11 [21120/49812]	Loss: 1.0395	LR: 0.100000
Training Epoch: 11 [21184/49812]	Loss: 1.6539	LR: 0.100000
Training Epoch: 11 [21248/49812]	Loss: 1.1446	LR: 0.100000
Training Epoch: 11 [21312/49812]	Loss: 1.5561	LR: 0.100000
Training Epoch: 11 [21376/49812]	Loss: 1.4138	LR: 0.100000
Training Epoch: 11 [21440/49812]	Loss: 1.2983	LR: 0.100000
Training Epoch: 11 [21504/49812]	Loss: 1.4989	LR: 0.100000
Training Epoch: 11 [21568/49812]	Loss: 1.4278	LR: 0.100000
Training Epoch: 11 [21632/49812]	Loss: 1.6365	LR: 0.100000
Training Epoch: 11 [21696/49812]	Loss: 1.1929	LR: 0.100000
Training Epoch: 11 [21760/49812]	Loss: 1.6089	LR: 0.100000
Training Epoch: 11 [21824/49812]	Loss: 1.5372	LR: 0.100000
Training Epoch: 11 [21888/49812]	Loss: 1.2215	LR: 0.100000
Training Epoch: 11 [21952/49812]	Loss: 1.3389	LR: 0.100000
Training Epoch: 11 [22016/49812]	Loss: 1.5624	LR: 0.100000
Training Epoch: 11 [22080/49812]	Loss: 1.7403	LR: 0.100000
Training Epoch: 11 [22144/49812]	Loss: 1.2104	LR: 0.100000
Training Epoch: 11 [22208/49812]	Loss: 1.2194	LR: 0.100000
Training Epoch: 11 [22272/49812]	Loss: 1.4978	LR: 0.100000
Training Epoch: 11 [22336/49812]	Loss: 1.4422	LR: 0.100000
Training Epoch: 11 [22400/49812]	Loss: 1.2601	LR: 0.100000
Training Epoch: 11 [22464/49812]	Loss: 1.1083	LR: 0.100000
Training Epoch: 11 [22528/49812]	Loss: 1.3999	LR: 0.100000
Training Epoch: 11 [22592/49812]	Loss: 1.4457	LR: 0.100000
Training Epoch: 11 [22656/49812]	Loss: 1.2434	LR: 0.100000
Training Epoch: 11 [22720/49812]	Loss: 1.2916	LR: 0.100000
Training Epoch: 11 [22784/49812]	Loss: 1.4533	LR: 0.100000
Training Epoch: 11 [22848/49812]	Loss: 1.3642	LR: 0.100000
Training Epoch: 11 [22912/49812]	Loss: 1.2542	LR: 0.100000
Training Epoch: 11 [22976/49812]	Loss: 1.1989	LR: 0.100000
Training Epoch: 11 [23040/49812]	Loss: 1.4438	LR: 0.100000
Training Epoch: 11 [23104/49812]	Loss: 1.3029	LR: 0.100000
Training Epoch: 11 [23168/49812]	Loss: 1.4145	LR: 0.100000
Training Epoch: 11 [23232/49812]	Loss: 1.2005	LR: 0.100000
Training Epoch: 11 [23296/49812]	Loss: 1.2984	LR: 0.100000
Training Epoch: 11 [23360/49812]	Loss: 1.0137	LR: 0.100000
Training Epoch: 11 [23424/49812]	Loss: 1.1375	LR: 0.100000
Training Epoch: 11 [23488/49812]	Loss: 1.2884	LR: 0.100000
Training Epoch: 11 [23552/49812]	Loss: 1.3210	LR: 0.100000
Training Epoch: 11 [23616/49812]	Loss: 1.0898	LR: 0.100000
Training Epoch: 11 [23680/49812]	Loss: 1.5630	LR: 0.100000
Training Epoch: 11 [23744/49812]	Loss: 1.4876	LR: 0.100000
Training Epoch: 11 [23808/49812]	Loss: 1.5714	LR: 0.100000
Training Epoch: 11 [23872/49812]	Loss: 1.6389	LR: 0.100000
Training Epoch: 11 [23936/49812]	Loss: 1.4412	LR: 0.100000
Training Epoch: 11 [24000/49812]	Loss: 1.2244	LR: 0.100000
Training Epoch: 11 [24064/49812]	Loss: 1.6240	LR: 0.100000
Training Epoch: 11 [24128/49812]	Loss: 1.0168	LR: 0.100000
Training Epoch: 11 [24192/49812]	Loss: 1.4233	LR: 0.100000
Training Epoch: 11 [24256/49812]	Loss: 1.4085	LR: 0.100000
Training Epoch: 11 [24320/49812]	Loss: 1.2203	LR: 0.100000
Training Epoch: 11 [24384/49812]	Loss: 1.4936	LR: 0.100000
Training Epoch: 11 [24448/49812]	Loss: 1.2102	LR: 0.100000
Training Epoch: 11 [24512/49812]	Loss: 1.5238	LR: 0.100000
Training Epoch: 11 [24576/49812]	Loss: 1.5186	LR: 0.100000
Training Epoch: 11 [24640/49812]	Loss: 1.4062	LR: 0.100000
Training Epoch: 11 [24704/49812]	Loss: 1.1796	LR: 0.100000
Training Epoch: 11 [24768/49812]	Loss: 1.4693	LR: 0.100000
Training Epoch: 11 [24832/49812]	Loss: 1.4338	LR: 0.100000
Training Epoch: 11 [24896/49812]	Loss: 1.5861	LR: 0.100000
Training Epoch: 11 [24960/49812]	Loss: 1.1340	LR: 0.100000
Training Epoch: 11 [25024/49812]	Loss: 1.2892	LR: 0.100000
Training Epoch: 11 [25088/49812]	Loss: 1.2407	LR: 0.100000
Training Epoch: 11 [25152/49812]	Loss: 1.3730	LR: 0.100000
Training Epoch: 11 [25216/49812]	Loss: 1.4688	LR: 0.100000
Training Epoch: 11 [25280/49812]	Loss: 1.3391	LR: 0.100000
Training Epoch: 11 [25344/49812]	Loss: 1.2970	LR: 0.100000
Training Epoch: 11 [25408/49812]	Loss: 1.3880	LR: 0.100000
Training Epoch: 11 [25472/49812]	Loss: 1.1998	LR: 0.100000
Training Epoch: 11 [25536/49812]	Loss: 1.5990	LR: 0.100000
Training Epoch: 11 [25600/49812]	Loss: 1.6083	LR: 0.100000
Training Epoch: 11 [25664/49812]	Loss: 1.5096	LR: 0.100000
Training Epoch: 11 [25728/49812]	Loss: 1.5174	LR: 0.100000
Training Epoch: 11 [25792/49812]	Loss: 1.4359	LR: 0.100000
Training Epoch: 11 [25856/49812]	Loss: 1.2344	LR: 0.100000
Training Epoch: 11 [25920/49812]	Loss: 1.4601	LR: 0.100000
Training Epoch: 11 [25984/49812]	Loss: 1.2934	LR: 0.100000
Training Epoch: 11 [26048/49812]	Loss: 1.5147	LR: 0.100000
Training Epoch: 11 [26112/49812]	Loss: 1.6222	LR: 0.100000
Training Epoch: 11 [26176/49812]	Loss: 1.3654	LR: 0.100000
Training Epoch: 11 [26240/49812]	Loss: 1.3182	LR: 0.100000
Training Epoch: 11 [26304/49812]	Loss: 1.1654	LR: 0.100000
Training Epoch: 11 [26368/49812]	Loss: 1.4237	LR: 0.100000
Training Epoch: 11 [26432/49812]	Loss: 1.5504	LR: 0.100000
Training Epoch: 11 [26496/49812]	Loss: 1.4236	LR: 0.100000
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Training Epoch: 11 [26624/49812]	Loss: 1.5172	LR: 0.100000
Training Epoch: 11 [26688/49812]	Loss: 1.3112	LR: 0.100000
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Training Epoch: 11 [26816/49812]	Loss: 1.3264	LR: 0.100000
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Training Epoch: 11 [26944/49812]	Loss: 1.2905	LR: 0.100000
Training Epoch: 11 [27008/49812]	Loss: 1.4327	LR: 0.100000
Training Epoch: 11 [27072/49812]	Loss: 1.2807	LR: 0.100000
Training Epoch: 11 [27136/49812]	Loss: 1.2135	LR: 0.100000
Training Epoch: 11 [27200/49812]	Loss: 1.3208	LR: 0.100000
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Training Epoch: 11 [27328/49812]	Loss: 1.0843	LR: 0.100000
Training Epoch: 11 [27392/49812]	Loss: 1.3303	LR: 0.100000
Training Epoch: 11 [27456/49812]	Loss: 1.0886	LR: 0.100000
Training Epoch: 11 [27520/49812]	Loss: 1.3087	LR: 0.100000
Training Epoch: 11 [27584/49812]	Loss: 1.8919	LR: 0.100000
Training Epoch: 11 [27648/49812]	Loss: 1.5403	LR: 0.100000
Training Epoch: 11 [27712/49812]	Loss: 1.5467	LR: 0.100000
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Training Epoch: 11 [27840/49812]	Loss: 1.4167	LR: 0.100000
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Training Epoch: 11 [27968/49812]	Loss: 1.2786	LR: 0.100000
Training Epoch: 11 [28032/49812]	Loss: 1.5369	LR: 0.100000
Training Epoch: 11 [28096/49812]	Loss: 1.5061	LR: 0.100000
Training Epoch: 11 [28160/49812]	Loss: 1.4357	LR: 0.100000
Training Epoch: 11 [28224/49812]	Loss: 1.5492	LR: 0.100000
Training Epoch: 11 [28288/49812]	Loss: 1.2804	LR: 0.100000
Training Epoch: 11 [28352/49812]	Loss: 1.1160	LR: 0.100000
Training Epoch: 11 [28416/49812]	Loss: 1.1067	LR: 0.100000
Training Epoch: 11 [28480/49812]	Loss: 1.3604	LR: 0.100000
Training Epoch: 11 [28544/49812]	Loss: 1.2471	LR: 0.100000
Training Epoch: 11 [28608/49812]	Loss: 1.3462	LR: 0.100000
Training Epoch: 11 [28672/49812]	Loss: 1.2038	LR: 0.100000
Training Epoch: 11 [28736/49812]	Loss: 1.2885	LR: 0.100000
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Training Epoch: 11 [28864/49812]	Loss: 1.2482	LR: 0.100000
Training Epoch: 11 [28928/49812]	Loss: 1.3695	LR: 0.100000
Training Epoch: 11 [28992/49812]	Loss: 1.4179	LR: 0.100000
Training Epoch: 11 [29056/49812]	Loss: 1.7320	LR: 0.100000
Training Epoch: 11 [29120/49812]	Loss: 1.3666	LR: 0.100000
Training Epoch: 11 [29184/49812]	Loss: 1.2962	LR: 0.100000
Training Epoch: 11 [29248/49812]	Loss: 1.4634	LR: 0.100000
Training Epoch: 11 [29312/49812]	Loss: 1.3990	LR: 0.100000
Training Epoch: 11 [29376/49812]	Loss: 1.4581	LR: 0.100000
Training Epoch: 11 [29440/49812]	Loss: 1.2031	LR: 0.100000
Training Epoch: 11 [29504/49812]	Loss: 1.2543	LR: 0.100000
Training Epoch: 11 [29568/49812]	Loss: 1.5466	LR: 0.100000
Training Epoch: 11 [29632/49812]	Loss: 1.1004	LR: 0.100000
Training Epoch: 11 [29696/49812]	Loss: 1.3131	LR: 0.100000
Training Epoch: 11 [29760/49812]	Loss: 1.6192	LR: 0.100000
Training Epoch: 11 [29824/49812]	Loss: 1.1069	LR: 0.100000
Training Epoch: 11 [29888/49812]	Loss: 1.3507	LR: 0.100000
Training Epoch: 11 [29952/49812]	Loss: 1.5682	LR: 0.100000
Training Epoch: 11 [30016/49812]	Loss: 1.3703	LR: 0.100000
Training Epoch: 11 [30080/49812]	Loss: 1.4991	LR: 0.100000
Training Epoch: 11 [30144/49812]	Loss: 1.6901	LR: 0.100000
Training Epoch: 11 [30208/49812]	Loss: 1.2890	LR: 0.100000
Training Epoch: 11 [30272/49812]	Loss: 1.7364	LR: 0.100000
Training Epoch: 11 [30336/49812]	Loss: 1.3557	LR: 0.100000
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Training Epoch: 11 [30464/49812]	Loss: 1.7200	LR: 0.100000
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Training Epoch: 11 [30592/49812]	Loss: 1.5554	LR: 0.100000
Training Epoch: 11 [30656/49812]	Loss: 1.2587	LR: 0.100000
Training Epoch: 11 [30720/49812]	Loss: 1.3599	LR: 0.100000
Training Epoch: 11 [30784/49812]	Loss: 1.4530	LR: 0.100000
Training Epoch: 11 [30848/49812]	Loss: 1.1591	LR: 0.100000
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Training Epoch: 11 [30976/49812]	Loss: 1.5140	LR: 0.100000
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Training Epoch: 11 [31232/49812]	Loss: 1.5586	LR: 0.100000
Training Epoch: 11 [31296/49812]	Loss: 1.7110	LR: 0.100000
Training Epoch: 11 [31360/49812]	Loss: 1.0598	LR: 0.100000
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Training Epoch: 11 [31488/49812]	Loss: 1.3198	LR: 0.100000
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Training Epoch: 11 [31616/49812]	Loss: 1.3366	LR: 0.100000
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Training Epoch: 11 [31936/49812]	Loss: 1.2884	LR: 0.100000
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Training Epoch: 11 [32064/49812]	Loss: 1.4247	LR: 0.100000
Training Epoch: 11 [32128/49812]	Loss: 1.3929	LR: 0.100000
Training Epoch: 11 [32192/49812]	Loss: 1.3379	LR: 0.100000
Training Epoch: 11 [32256/49812]	Loss: 1.1482	LR: 0.100000
Training Epoch: 11 [32320/49812]	Loss: 1.2851	LR: 0.100000
Training Epoch: 11 [32384/49812]	Loss: 1.4515	LR: 0.100000
Training Epoch: 11 [32448/49812]	Loss: 1.2823	LR: 0.100000
Training Epoch: 11 [32512/49812]	Loss: 1.1971	LR: 0.100000
Training Epoch: 11 [32576/49812]	Loss: 1.2073	LR: 0.100000
Training Epoch: 11 [32640/49812]	Loss: 1.3546	LR: 0.100000
Training Epoch: 11 [32704/49812]	Loss: 1.6545	LR: 0.100000
Training Epoch: 11 [32768/49812]	Loss: 1.4464	LR: 0.100000
Training Epoch: 11 [32832/49812]	Loss: 1.1996	LR: 0.100000
Training Epoch: 11 [32896/49812]	Loss: 1.1174	LR: 0.100000
Training Epoch: 11 [32960/49812]	Loss: 1.2772	LR: 0.100000
Training Epoch: 11 [33024/49812]	Loss: 1.2594	LR: 0.100000
Training Epoch: 11 [33088/49812]	Loss: 1.4631	LR: 0.100000
Training Epoch: 11 [33152/49812]	Loss: 1.3280	LR: 0.100000
Training Epoch: 11 [33216/49812]	Loss: 1.5950	LR: 0.100000
Training Epoch: 11 [33280/49812]	Loss: 1.3100	LR: 0.100000
Training Epoch: 11 [33344/49812]	Loss: 1.3306	LR: 0.100000
Training Epoch: 11 [33408/49812]	Loss: 1.3559	LR: 0.100000
Training Epoch: 11 [33472/49812]	Loss: 1.7073	LR: 0.100000
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Training Epoch: 11 [33664/49812]	Loss: 1.1745	LR: 0.100000
Training Epoch: 11 [33728/49812]	Loss: 1.4287	LR: 0.100000
Training Epoch: 11 [33792/49812]	Loss: 1.6195	LR: 0.100000
Training Epoch: 11 [33856/49812]	Loss: 1.3105	LR: 0.100000
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Training Epoch: 11 [33984/49812]	Loss: 1.5170	LR: 0.100000
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Training Epoch: 11 [34112/49812]	Loss: 1.4337	LR: 0.100000
Training Epoch: 11 [34176/49812]	Loss: 1.3943	LR: 0.100000
Training Epoch: 11 [34240/49812]	Loss: 1.4576	LR: 0.100000
Training Epoch: 11 [34304/49812]	Loss: 1.6817	LR: 0.100000
Training Epoch: 11 [34368/49812]	Loss: 1.3681	LR: 0.100000
Training Epoch: 11 [34432/49812]	Loss: 1.0650	LR: 0.100000
Training Epoch: 11 [34496/49812]	Loss: 1.7429	LR: 0.100000
Training Epoch: 11 [34560/49812]	Loss: 1.5916	LR: 0.100000
Training Epoch: 11 [34624/49812]	Loss: 1.2929	LR: 0.100000
Training Epoch: 11 [34688/49812]	Loss: 1.5434	LR: 0.100000
Training Epoch: 11 [34752/49812]	Loss: 1.4274	LR: 0.100000
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Training Epoch: 11 [48320/49812]	Loss: 1.2901	LR: 0.100000
Training Epoch: 11 [48384/49812]	Loss: 1.5787	LR: 0.100000
Training Epoch: 11 [48448/49812]	Loss: 1.4070	LR: 0.100000
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Training Epoch: 11 [48576/49812]	Loss: 1.5460	LR: 0.100000
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Training Epoch: 11 [48768/49812]	Loss: 1.4334	LR: 0.100000
Training Epoch: 11 [48832/49812]	Loss: 1.5198	LR: 0.100000
Training Epoch: 11 [48896/49812]	Loss: 1.4289	LR: 0.100000
Training Epoch: 11 [48960/49812]	Loss: 1.2375	LR: 0.100000
Training Epoch: 11 [49024/49812]	Loss: 1.0768	LR: 0.100000
Training Epoch: 11 [49088/49812]	Loss: 1.1793	LR: 0.100000
Training Epoch: 11 [49152/49812]	Loss: 1.4450	LR: 0.100000
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Training Epoch: 11 [49408/49812]	Loss: 1.4143	LR: 0.100000
Training Epoch: 11 [49472/49812]	Loss: 1.4681	LR: 0.100000
Training Epoch: 11 [49536/49812]	Loss: 1.3678	LR: 0.100000
Training Epoch: 11 [49600/49812]	Loss: 1.4584	LR: 0.100000
Training Epoch: 11 [49664/49812]	Loss: 1.6725	LR: 0.100000
Training Epoch: 11 [49728/49812]	Loss: 1.1804	LR: 0.100000
Training Epoch: 11 [49792/49812]	Loss: 1.4705	LR: 0.100000
Training Epoch: 11 [49812/49812]	Loss: 1.9762	LR: 0.100000
Epoch 11 - Average Train Loss: 1.3735, Train Accuracy: 0.5659
Epoch 11 training time consumed: 265.68s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0269, Accuracy: 0.4986, Time consumed:17.00s
Training Epoch: 12 [64/49812]	Loss: 1.5546	LR: 0.100000
Training Epoch: 12 [128/49812]	Loss: 1.6298	LR: 0.100000
Training Epoch: 12 [192/49812]	Loss: 1.3427	LR: 0.100000
Training Epoch: 12 [256/49812]	Loss: 1.4233	LR: 0.100000
Training Epoch: 12 [320/49812]	Loss: 1.3657	LR: 0.100000
Training Epoch: 12 [384/49812]	Loss: 1.4252	LR: 0.100000
Training Epoch: 12 [448/49812]	Loss: 1.4422	LR: 0.100000
Training Epoch: 12 [512/49812]	Loss: 1.3861	LR: 0.100000
Training Epoch: 12 [576/49812]	Loss: 1.1133	LR: 0.100000
Training Epoch: 12 [640/49812]	Loss: 1.4187	LR: 0.100000
Training Epoch: 12 [704/49812]	Loss: 1.2099	LR: 0.100000
Training Epoch: 12 [768/49812]	Loss: 1.2908	LR: 0.100000
Training Epoch: 12 [832/49812]	Loss: 1.5701	LR: 0.100000
Training Epoch: 12 [896/49812]	Loss: 1.4326	LR: 0.100000
Training Epoch: 12 [960/49812]	Loss: 1.0058	LR: 0.100000
Training Epoch: 12 [1024/49812]	Loss: 1.5066	LR: 0.100000
Training Epoch: 12 [1088/49812]	Loss: 1.2495	LR: 0.100000
Training Epoch: 12 [1152/49812]	Loss: 1.4155	LR: 0.100000
Training Epoch: 12 [1216/49812]	Loss: 1.4301	LR: 0.100000
Training Epoch: 12 [1280/49812]	Loss: 1.5831	LR: 0.100000
Training Epoch: 12 [1344/49812]	Loss: 1.2630	LR: 0.100000
Training Epoch: 12 [1408/49812]	Loss: 1.5768	LR: 0.100000
Training Epoch: 12 [1472/49812]	Loss: 1.2392	LR: 0.100000
Training Epoch: 12 [1536/49812]	Loss: 1.0729	LR: 0.100000
Training Epoch: 12 [1600/49812]	Loss: 1.0459	LR: 0.100000
Training Epoch: 12 [1664/49812]	Loss: 1.4690	LR: 0.100000
Training Epoch: 12 [1728/49812]	Loss: 1.3794	LR: 0.100000
Training Epoch: 12 [1792/49812]	Loss: 1.3796	LR: 0.100000
Training Epoch: 12 [1856/49812]	Loss: 1.4763	LR: 0.100000
Training Epoch: 12 [1920/49812]	Loss: 1.5210	LR: 0.100000
Training Epoch: 12 [1984/49812]	Loss: 1.1927	LR: 0.100000
Training Epoch: 12 [2048/49812]	Loss: 1.2676	LR: 0.100000
Training Epoch: 12 [2112/49812]	Loss: 1.3732	LR: 0.100000
Training Epoch: 12 [2176/49812]	Loss: 1.6338	LR: 0.100000
Training Epoch: 12 [2240/49812]	Loss: 1.2430	LR: 0.100000
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Training Epoch: 12 [2368/49812]	Loss: 1.4174	LR: 0.100000
Training Epoch: 12 [2432/49812]	Loss: 1.3026	LR: 0.100000
Training Epoch: 12 [2496/49812]	Loss: 1.2615	LR: 0.100000
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Training Epoch: 12 [2816/49812]	Loss: 1.4587	LR: 0.100000
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Training Epoch: 12 [2944/49812]	Loss: 1.2704	LR: 0.100000
Training Epoch: 12 [3008/49812]	Loss: 1.4122	LR: 0.100000
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Training Epoch: 12 [3264/49812]	Loss: 1.1628	LR: 0.100000
Training Epoch: 12 [3328/49812]	Loss: 1.2785	LR: 0.100000
Training Epoch: 12 [3392/49812]	Loss: 1.2099	LR: 0.100000
Training Epoch: 12 [3456/49812]	Loss: 1.4881	LR: 0.100000
Training Epoch: 12 [3520/49812]	Loss: 1.4421	LR: 0.100000
Training Epoch: 12 [3584/49812]	Loss: 1.4778	LR: 0.100000
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Training Epoch: 12 [3712/49812]	Loss: 1.4971	LR: 0.100000
Training Epoch: 12 [3776/49812]	Loss: 1.0676	LR: 0.100000
Training Epoch: 12 [3840/49812]	Loss: 1.4049	LR: 0.100000
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Training Epoch: 12 [3968/49812]	Loss: 1.3881	LR: 0.100000
Training Epoch: 12 [4032/49812]	Loss: 1.2428	LR: 0.100000
Training Epoch: 12 [4096/49812]	Loss: 0.8479	LR: 0.100000
Training Epoch: 12 [4160/49812]	Loss: 1.3600	LR: 0.100000
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Training Epoch: 12 [4608/49812]	Loss: 1.2578	LR: 0.100000
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Training Epoch: 12 [5120/49812]	Loss: 1.6543	LR: 0.100000
Training Epoch: 12 [5184/49812]	Loss: 1.4368	LR: 0.100000
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Training Epoch: 12 [5440/49812]	Loss: 1.2903	LR: 0.100000
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Training Epoch: 12 [5632/49812]	Loss: 1.3791	LR: 0.100000
Training Epoch: 12 [5696/49812]	Loss: 1.2521	LR: 0.100000
Training Epoch: 12 [5760/49812]	Loss: 1.2394	LR: 0.100000
Training Epoch: 12 [5824/49812]	Loss: 1.2896	LR: 0.100000
Training Epoch: 12 [5888/49812]	Loss: 1.3437	LR: 0.100000
Training Epoch: 12 [5952/49812]	Loss: 1.5328	LR: 0.100000
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Training Epoch: 12 [6144/49812]	Loss: 1.5355	LR: 0.100000
Training Epoch: 12 [6208/49812]	Loss: 1.3153	LR: 0.100000
Training Epoch: 12 [6272/49812]	Loss: 1.5122	LR: 0.100000
Training Epoch: 12 [6336/49812]	Loss: 1.2851	LR: 0.100000
Training Epoch: 12 [6400/49812]	Loss: 1.5940	LR: 0.100000
Training Epoch: 12 [6464/49812]	Loss: 1.6100	LR: 0.100000
Training Epoch: 12 [6528/49812]	Loss: 1.4335	LR: 0.100000
Training Epoch: 12 [6592/49812]	Loss: 1.2382	LR: 0.100000
Training Epoch: 12 [6656/49812]	Loss: 1.6677	LR: 0.100000
Training Epoch: 12 [6720/49812]	Loss: 1.4034	LR: 0.100000
Training Epoch: 12 [6784/49812]	Loss: 1.1953	LR: 0.100000
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Training Epoch: 12 [6912/49812]	Loss: 1.4366	LR: 0.100000
Training Epoch: 12 [6976/49812]	Loss: 1.3364	LR: 0.100000
Training Epoch: 12 [7040/49812]	Loss: 1.3127	LR: 0.100000
Training Epoch: 12 [7104/49812]	Loss: 1.4292	LR: 0.100000
Training Epoch: 12 [7168/49812]	Loss: 1.2207	LR: 0.100000
Training Epoch: 12 [7232/49812]	Loss: 1.5477	LR: 0.100000
Training Epoch: 12 [7296/49812]	Loss: 1.2708	LR: 0.100000
Training Epoch: 12 [7360/49812]	Loss: 1.4584	LR: 0.100000
Training Epoch: 12 [7424/49812]	Loss: 1.1334	LR: 0.100000
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Training Epoch: 12 [7552/49812]	Loss: 1.2797	LR: 0.100000
Training Epoch: 12 [7616/49812]	Loss: 1.5434	LR: 0.100000
Training Epoch: 12 [7680/49812]	Loss: 1.2462	LR: 0.100000
Training Epoch: 12 [7744/49812]	Loss: 1.1838	LR: 0.100000
Training Epoch: 12 [7808/49812]	Loss: 1.3632	LR: 0.100000
Training Epoch: 12 [7872/49812]	Loss: 1.2906	LR: 0.100000
Training Epoch: 12 [7936/49812]	Loss: 1.4679	LR: 0.100000
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Training Epoch: 12 [8128/49812]	Loss: 1.2955	LR: 0.100000
Training Epoch: 12 [8192/49812]	Loss: 1.5548	LR: 0.100000
Training Epoch: 12 [8256/49812]	Loss: 1.4052	LR: 0.100000
Training Epoch: 12 [8320/49812]	Loss: 1.0879	LR: 0.100000
Training Epoch: 12 [8384/49812]	Loss: 1.0983	LR: 0.100000
Training Epoch: 12 [8448/49812]	Loss: 1.5427	LR: 0.100000
Training Epoch: 12 [8512/49812]	Loss: 1.2027	LR: 0.100000
Training Epoch: 12 [8576/49812]	Loss: 1.4326	LR: 0.100000
Training Epoch: 12 [8640/49812]	Loss: 1.5267	LR: 0.100000
Training Epoch: 12 [8704/49812]	Loss: 1.4669	LR: 0.100000
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Training Epoch: 12 [8832/49812]	Loss: 1.5682	LR: 0.100000
Training Epoch: 12 [8896/49812]	Loss: 1.1592	LR: 0.100000
Training Epoch: 12 [8960/49812]	Loss: 1.6514	LR: 0.100000
Training Epoch: 12 [9024/49812]	Loss: 1.2780	LR: 0.100000
Training Epoch: 12 [9088/49812]	Loss: 1.4054	LR: 0.100000
Training Epoch: 12 [9152/49812]	Loss: 1.2925	LR: 0.100000
Training Epoch: 12 [9216/49812]	Loss: 1.7297	LR: 0.100000
Training Epoch: 12 [9280/49812]	Loss: 1.3225	LR: 0.100000
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Training Epoch: 12 [9408/49812]	Loss: 1.5297	LR: 0.100000
Training Epoch: 12 [9472/49812]	Loss: 1.4184	LR: 0.100000
Training Epoch: 12 [9536/49812]	Loss: 1.1586	LR: 0.100000
Training Epoch: 12 [9600/49812]	Loss: 1.4011	LR: 0.100000
Training Epoch: 12 [9664/49812]	Loss: 1.5277	LR: 0.100000
Training Epoch: 12 [9728/49812]	Loss: 1.3899	LR: 0.100000
Training Epoch: 12 [9792/49812]	Loss: 1.6898	LR: 0.100000
Training Epoch: 12 [9856/49812]	Loss: 1.3651	LR: 0.100000
Training Epoch: 12 [9920/49812]	Loss: 1.1191	LR: 0.100000
Training Epoch: 12 [9984/49812]	Loss: 1.4820	LR: 0.100000
Training Epoch: 12 [10048/49812]	Loss: 1.6118	LR: 0.100000
Training Epoch: 12 [10112/49812]	Loss: 1.3693	LR: 0.100000
Training Epoch: 12 [10176/49812]	Loss: 1.3240	LR: 0.100000
Training Epoch: 12 [10240/49812]	Loss: 1.3892	LR: 0.100000
Training Epoch: 12 [10304/49812]	Loss: 1.7933	LR: 0.100000
Training Epoch: 12 [10368/49812]	Loss: 1.4657	LR: 0.100000
Training Epoch: 12 [10432/49812]	Loss: 1.4084	LR: 0.100000
Training Epoch: 12 [10496/49812]	Loss: 1.2434	LR: 0.100000
Training Epoch: 12 [10560/49812]	Loss: 1.2708	LR: 0.100000
Training Epoch: 12 [10624/49812]	Loss: 1.1862	LR: 0.100000
Training Epoch: 12 [10688/49812]	Loss: 1.4938	LR: 0.100000
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Training Epoch: 12 [10816/49812]	Loss: 1.4058	LR: 0.100000
Training Epoch: 12 [10880/49812]	Loss: 1.6009	LR: 0.100000
Training Epoch: 12 [10944/49812]	Loss: 1.4395	LR: 0.100000
Training Epoch: 12 [11008/49812]	Loss: 1.3266	LR: 0.100000
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Training Epoch: 12 [11136/49812]	Loss: 1.2563	LR: 0.100000
Training Epoch: 12 [11200/49812]	Loss: 1.2441	LR: 0.100000
Training Epoch: 12 [11264/49812]	Loss: 1.3748	LR: 0.100000
Training Epoch: 12 [11328/49812]	Loss: 1.2239	LR: 0.100000
Training Epoch: 12 [11392/49812]	Loss: 1.2492	LR: 0.100000
Training Epoch: 12 [11456/49812]	Loss: 1.4348	LR: 0.100000
Training Epoch: 12 [11520/49812]	Loss: 1.1607	LR: 0.100000
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Training Epoch: 12 [11648/49812]	Loss: 1.1608	LR: 0.100000
Training Epoch: 12 [11712/49812]	Loss: 1.4830	LR: 0.100000
Training Epoch: 12 [11776/49812]	Loss: 1.5224	LR: 0.100000
Training Epoch: 12 [11840/49812]	Loss: 1.3448	LR: 0.100000
Training Epoch: 12 [11904/49812]	Loss: 1.1972	LR: 0.100000
Training Epoch: 12 [11968/49812]	Loss: 1.2104	LR: 0.100000
Training Epoch: 12 [12032/49812]	Loss: 1.1851	LR: 0.100000
Training Epoch: 12 [12096/49812]	Loss: 1.2414	LR: 0.100000
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Training Epoch: 12 [12224/49812]	Loss: 1.3787	LR: 0.100000
Training Epoch: 12 [12288/49812]	Loss: 1.5215	LR: 0.100000
Training Epoch: 12 [12352/49812]	Loss: 1.3095	LR: 0.100000
Training Epoch: 12 [12416/49812]	Loss: 1.4386	LR: 0.100000
Training Epoch: 12 [12480/49812]	Loss: 1.5498	LR: 0.100000
Training Epoch: 12 [12544/49812]	Loss: 1.2803	LR: 0.100000
Training Epoch: 12 [12608/49812]	Loss: 1.5517	LR: 0.100000
Training Epoch: 12 [12672/49812]	Loss: 1.3355	LR: 0.100000
Training Epoch: 12 [12736/49812]	Loss: 1.2980	LR: 0.100000
Training Epoch: 12 [12800/49812]	Loss: 1.3650	LR: 0.100000
Training Epoch: 12 [12864/49812]	Loss: 1.1934	LR: 0.100000
Training Epoch: 12 [12928/49812]	Loss: 1.3245	LR: 0.100000
Training Epoch: 12 [12992/49812]	Loss: 1.4938	LR: 0.100000
Training Epoch: 12 [13056/49812]	Loss: 1.3551	LR: 0.100000
Training Epoch: 12 [13120/49812]	Loss: 1.3712	LR: 0.100000
Training Epoch: 12 [13184/49812]	Loss: 1.1845	LR: 0.100000
Training Epoch: 12 [13248/49812]	Loss: 1.3803	LR: 0.100000
Training Epoch: 12 [13312/49812]	Loss: 1.4950	LR: 0.100000
Training Epoch: 12 [13376/49812]	Loss: 1.5978	LR: 0.100000
Training Epoch: 12 [13440/49812]	Loss: 1.4053	LR: 0.100000
Training Epoch: 12 [13504/49812]	Loss: 1.7560	LR: 0.100000
Training Epoch: 12 [13568/49812]	Loss: 1.6813	LR: 0.100000
Training Epoch: 12 [13632/49812]	Loss: 1.5234	LR: 0.100000
Training Epoch: 12 [13696/49812]	Loss: 1.3362	LR: 0.100000
Training Epoch: 12 [13760/49812]	Loss: 1.4117	LR: 0.100000
Training Epoch: 12 [13824/49812]	Loss: 1.2956	LR: 0.100000
Training Epoch: 12 [13888/49812]	Loss: 1.6679	LR: 0.100000
Training Epoch: 12 [13952/49812]	Loss: 1.7374	LR: 0.100000
Training Epoch: 12 [14016/49812]	Loss: 1.5411	LR: 0.100000
Training Epoch: 12 [14080/49812]	Loss: 1.0120	LR: 0.100000
Training Epoch: 12 [14144/49812]	Loss: 1.2646	LR: 0.100000
Training Epoch: 12 [14208/49812]	Loss: 1.4751	LR: 0.100000
Training Epoch: 12 [14272/49812]	Loss: 1.3434	LR: 0.100000
Training Epoch: 12 [14336/49812]	Loss: 1.4298	LR: 0.100000
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Training Epoch: 12 [14464/49812]	Loss: 1.3309	LR: 0.100000
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Training Epoch: 12 [14656/49812]	Loss: 1.6443	LR: 0.100000
Training Epoch: 12 [14720/49812]	Loss: 1.4003	LR: 0.100000
Training Epoch: 12 [14784/49812]	Loss: 1.1630	LR: 0.100000
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Training Epoch: 12 [15104/49812]	Loss: 1.4245	LR: 0.100000
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Training Epoch: 12 [15488/49812]	Loss: 1.6528	LR: 0.100000
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Training Epoch: 12 [15616/49812]	Loss: 1.1332	LR: 0.100000
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Training Epoch: 12 [15744/49812]	Loss: 2.0770	LR: 0.100000
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Training Epoch: 12 [16064/49812]	Loss: 1.3444	LR: 0.100000
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Training Epoch: 12 [16192/49812]	Loss: 1.5408	LR: 0.100000
Training Epoch: 12 [16256/49812]	Loss: 1.3875	LR: 0.100000
Training Epoch: 12 [16320/49812]	Loss: 1.3958	LR: 0.100000
Training Epoch: 12 [16384/49812]	Loss: 1.3173	LR: 0.100000
Training Epoch: 12 [16448/49812]	Loss: 1.2243	LR: 0.100000
Training Epoch: 12 [16512/49812]	Loss: 1.3624	LR: 0.100000
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Training Epoch: 12 [16768/49812]	Loss: 1.3015	LR: 0.100000
Training Epoch: 12 [16832/49812]	Loss: 1.4348	LR: 0.100000
Training Epoch: 12 [16896/49812]	Loss: 1.1979	LR: 0.100000
Training Epoch: 12 [16960/49812]	Loss: 1.4543	LR: 0.100000
Training Epoch: 12 [17024/49812]	Loss: 1.3561	LR: 0.100000
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Training Epoch: 12 [17152/49812]	Loss: 1.2335	LR: 0.100000
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Training Epoch: 12 [17472/49812]	Loss: 1.2030	LR: 0.100000
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Training Epoch: 12 [17920/49812]	Loss: 1.2504	LR: 0.100000
Training Epoch: 12 [17984/49812]	Loss: 1.3309	LR: 0.100000
Training Epoch: 12 [18048/49812]	Loss: 1.5285	LR: 0.100000
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Training Epoch: 12 [18304/49812]	Loss: 1.2153	LR: 0.100000
Training Epoch: 12 [18368/49812]	Loss: 1.4287	LR: 0.100000
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Training Epoch: 12 [18496/49812]	Loss: 1.3627	LR: 0.100000
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Training Epoch: 12 [18816/49812]	Loss: 1.4318	LR: 0.100000
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Training Epoch: 12 [19456/49812]	Loss: 1.6307	LR: 0.100000
Training Epoch: 12 [19520/49812]	Loss: 1.6875	LR: 0.100000
Training Epoch: 12 [19584/49812]	Loss: 1.4531	LR: 0.100000
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Training Epoch: 12 [20032/49812]	Loss: 1.3617	LR: 0.100000
Training Epoch: 12 [20096/49812]	Loss: 1.2113	LR: 0.100000
Training Epoch: 12 [20160/49812]	Loss: 1.4084	LR: 0.100000
Training Epoch: 12 [20224/49812]	Loss: 1.7701	LR: 0.100000
Training Epoch: 12 [20288/49812]	Loss: 1.6758	LR: 0.100000
Training Epoch: 12 [20352/49812]	Loss: 1.2976	LR: 0.100000
Training Epoch: 12 [20416/49812]	Loss: 1.5510	LR: 0.100000
Training Epoch: 12 [20480/49812]	Loss: 1.2386	LR: 0.100000
Training Epoch: 12 [20544/49812]	Loss: 1.3062	LR: 0.100000
Training Epoch: 12 [20608/49812]	Loss: 1.3763	LR: 0.100000
Training Epoch: 12 [20672/49812]	Loss: 1.4521	LR: 0.100000
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Training Epoch: 12 [20864/49812]	Loss: 1.4123	LR: 0.100000
Training Epoch: 12 [20928/49812]	Loss: 1.5651	LR: 0.100000
Training Epoch: 12 [20992/49812]	Loss: 1.5127	LR: 0.100000
Training Epoch: 12 [21056/49812]	Loss: 1.4317	LR: 0.100000
Training Epoch: 12 [21120/49812]	Loss: 1.5290	LR: 0.100000
Training Epoch: 12 [21184/49812]	Loss: 1.4468	LR: 0.100000
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Training Epoch: 12 [21312/49812]	Loss: 1.3182	LR: 0.100000
Training Epoch: 12 [21376/49812]	Loss: 1.5572	LR: 0.100000
Training Epoch: 12 [21440/49812]	Loss: 1.6663	LR: 0.100000
Training Epoch: 12 [21504/49812]	Loss: 1.3189	LR: 0.100000
Training Epoch: 12 [21568/49812]	Loss: 1.4651	LR: 0.100000
Training Epoch: 12 [21632/49812]	Loss: 1.7171	LR: 0.100000
Training Epoch: 12 [21696/49812]	Loss: 1.4847	LR: 0.100000
Training Epoch: 12 [21760/49812]	Loss: 1.2324	LR: 0.100000
Training Epoch: 12 [21824/49812]	Loss: 1.6119	LR: 0.100000
Training Epoch: 12 [21888/49812]	Loss: 1.5321	LR: 0.100000
Training Epoch: 12 [21952/49812]	Loss: 1.4233	LR: 0.100000
Training Epoch: 12 [22016/49812]	Loss: 1.3448	LR: 0.100000
Training Epoch: 12 [22080/49812]	Loss: 1.4569	LR: 0.100000
Training Epoch: 12 [22144/49812]	Loss: 1.1003	LR: 0.100000
Training Epoch: 12 [22208/49812]	Loss: 1.1408	LR: 0.100000
Training Epoch: 12 [22272/49812]	Loss: 1.3812	LR: 0.100000
Training Epoch: 12 [22336/49812]	Loss: 1.2290	LR: 0.100000
Training Epoch: 12 [22400/49812]	Loss: 1.2819	LR: 0.100000
Training Epoch: 12 [22464/49812]	Loss: 1.1982	LR: 0.100000
Training Epoch: 12 [22528/49812]	Loss: 1.2921	LR: 0.100000
Training Epoch: 12 [22592/49812]	Loss: 1.2616	LR: 0.100000
Training Epoch: 12 [22656/49812]	Loss: 1.5823	LR: 0.100000
Training Epoch: 12 [22720/49812]	Loss: 1.1424	LR: 0.100000
Training Epoch: 12 [22784/49812]	Loss: 1.2497	LR: 0.100000
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Training Epoch: 12 [22976/49812]	Loss: 1.1323	LR: 0.100000
Training Epoch: 12 [23040/49812]	Loss: 1.3277	LR: 0.100000
Training Epoch: 12 [23104/49812]	Loss: 1.2189	LR: 0.100000
Training Epoch: 12 [23168/49812]	Loss: 1.0341	LR: 0.100000
Training Epoch: 12 [23232/49812]	Loss: 1.3630	LR: 0.100000
Training Epoch: 12 [23296/49812]	Loss: 1.3393	LR: 0.100000
Training Epoch: 12 [23360/49812]	Loss: 1.5698	LR: 0.100000
Training Epoch: 12 [23424/49812]	Loss: 1.4189	LR: 0.100000
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Training Epoch: 12 [23808/49812]	Loss: 1.2110	LR: 0.100000
Training Epoch: 12 [23872/49812]	Loss: 1.2502	LR: 0.100000
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Training Epoch: 12 [24064/49812]	Loss: 1.1022	LR: 0.100000
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Training Epoch: 12 [24192/49812]	Loss: 1.5570	LR: 0.100000
Training Epoch: 12 [24256/49812]	Loss: 1.0374	LR: 0.100000
Training Epoch: 12 [24320/49812]	Loss: 1.1318	LR: 0.100000
Training Epoch: 12 [24384/49812]	Loss: 1.5058	LR: 0.100000
Training Epoch: 12 [24448/49812]	Loss: 1.2788	LR: 0.100000
Training Epoch: 12 [24512/49812]	Loss: 1.3502	LR: 0.100000
Training Epoch: 12 [24576/49812]	Loss: 1.4726	LR: 0.100000
Training Epoch: 12 [24640/49812]	Loss: 1.5607	LR: 0.100000
Training Epoch: 12 [24704/49812]	Loss: 1.1258	LR: 0.100000
Training Epoch: 12 [24768/49812]	Loss: 1.4891	LR: 0.100000
Training Epoch: 12 [24832/49812]	Loss: 1.3556	LR: 0.100000
Training Epoch: 12 [24896/49812]	Loss: 1.5101	LR: 0.100000
Training Epoch: 12 [24960/49812]	Loss: 1.5914	LR: 0.100000
Training Epoch: 12 [25024/49812]	Loss: 1.4508	LR: 0.100000
Training Epoch: 12 [25088/49812]	Loss: 1.3698	LR: 0.100000
Training Epoch: 12 [25152/49812]	Loss: 1.1464	LR: 0.100000
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Training Epoch: 12 [25280/49812]	Loss: 1.3117	LR: 0.100000
Training Epoch: 12 [25344/49812]	Loss: 1.3242	LR: 0.100000
Training Epoch: 12 [25408/49812]	Loss: 1.4189	LR: 0.100000
Training Epoch: 12 [25472/49812]	Loss: 1.6081	LR: 0.100000
Training Epoch: 12 [25536/49812]	Loss: 1.4317	LR: 0.100000
Training Epoch: 12 [25600/49812]	Loss: 1.2170	LR: 0.100000
Training Epoch: 12 [25664/49812]	Loss: 1.4469	LR: 0.100000
Training Epoch: 12 [25728/49812]	Loss: 1.0499	LR: 0.100000
Training Epoch: 12 [25792/49812]	Loss: 1.7237	LR: 0.100000
Training Epoch: 12 [25856/49812]	Loss: 1.1850	LR: 0.100000
Training Epoch: 12 [25920/49812]	Loss: 1.2648	LR: 0.100000
Training Epoch: 12 [25984/49812]	Loss: 1.2396	LR: 0.100000
Training Epoch: 12 [26048/49812]	Loss: 1.4024	LR: 0.100000
Training Epoch: 12 [26112/49812]	Loss: 1.3249	LR: 0.100000
Training Epoch: 12 [26176/49812]	Loss: 1.4374	LR: 0.100000
Training Epoch: 12 [26240/49812]	Loss: 1.3856	LR: 0.100000
Training Epoch: 12 [26304/49812]	Loss: 1.1846	LR: 0.100000
Training Epoch: 12 [26368/49812]	Loss: 1.4446	LR: 0.100000
Training Epoch: 12 [26432/49812]	Loss: 1.3671	LR: 0.100000
Training Epoch: 12 [26496/49812]	Loss: 1.5056	LR: 0.100000
Training Epoch: 12 [26560/49812]	Loss: 1.1483	LR: 0.100000
Training Epoch: 12 [26624/49812]	Loss: 1.7813	LR: 0.100000
Training Epoch: 12 [26688/49812]	Loss: 1.4351	LR: 0.100000
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Training Epoch: 12 [26816/49812]	Loss: 1.3409	LR: 0.100000
Training Epoch: 12 [26880/49812]	Loss: 1.6191	LR: 0.100000
Training Epoch: 12 [26944/49812]	Loss: 1.5009	LR: 0.100000
Training Epoch: 12 [27008/49812]	Loss: 1.1748	LR: 0.100000
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Training Epoch: 12 [27136/49812]	Loss: 1.3604	LR: 0.100000
Training Epoch: 12 [27200/49812]	Loss: 1.5819	LR: 0.100000
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Training Epoch: 12 [27328/49812]	Loss: 1.2448	LR: 0.100000
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Training Epoch: 12 [27456/49812]	Loss: 1.3637	LR: 0.100000
Training Epoch: 12 [27520/49812]	Loss: 1.4053	LR: 0.100000
Training Epoch: 12 [27584/49812]	Loss: 1.3218	LR: 0.100000
Training Epoch: 12 [27648/49812]	Loss: 1.3554	LR: 0.100000
Training Epoch: 12 [27712/49812]	Loss: 1.3702	LR: 0.100000
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Training Epoch: 12 [27840/49812]	Loss: 1.4881	LR: 0.100000
Training Epoch: 12 [27904/49812]	Loss: 1.4642	LR: 0.100000
Training Epoch: 12 [27968/49812]	Loss: 1.4866	LR: 0.100000
Training Epoch: 12 [28032/49812]	Loss: 1.2650	LR: 0.100000
Training Epoch: 12 [28096/49812]	Loss: 1.5674	LR: 0.100000
Training Epoch: 12 [28160/49812]	Loss: 1.2112	LR: 0.100000
Training Epoch: 12 [28224/49812]	Loss: 1.1944	LR: 0.100000
Training Epoch: 12 [28288/49812]	Loss: 1.4744	LR: 0.100000
Training Epoch: 12 [28352/49812]	Loss: 1.3616	LR: 0.100000
Training Epoch: 12 [28416/49812]	Loss: 1.5721	LR: 0.100000
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Training Epoch: 12 [28544/49812]	Loss: 1.4159	LR: 0.100000
Training Epoch: 12 [28608/49812]	Loss: 1.6583	LR: 0.100000
Training Epoch: 12 [28672/49812]	Loss: 1.3563	LR: 0.100000
Training Epoch: 12 [28736/49812]	Loss: 1.4600	LR: 0.100000
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Training Epoch: 12 [28864/49812]	Loss: 1.2807	LR: 0.100000
Training Epoch: 12 [28928/49812]	Loss: 1.3997	LR: 0.100000
Training Epoch: 12 [28992/49812]	Loss: 1.5737	LR: 0.100000
Training Epoch: 12 [29056/49812]	Loss: 1.6716	LR: 0.100000
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Training Epoch: 12 [29184/49812]	Loss: 1.6371	LR: 0.100000
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Training Epoch: 12 [29312/49812]	Loss: 1.0967	LR: 0.100000
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Training Epoch: 12 [29568/49812]	Loss: 1.2449	LR: 0.100000
Training Epoch: 12 [29632/49812]	Loss: 1.2269	LR: 0.100000
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Training Epoch: 12 [29888/49812]	Loss: 1.2819	LR: 0.100000
Training Epoch: 12 [29952/49812]	Loss: 1.4183	LR: 0.100000
Training Epoch: 12 [30016/49812]	Loss: 1.3400	LR: 0.100000
Training Epoch: 12 [30080/49812]	Loss: 1.4495	LR: 0.100000
Training Epoch: 12 [30144/49812]	Loss: 1.3841	LR: 0.100000
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Training Epoch: 12 [30464/49812]	Loss: 1.3827	LR: 0.100000
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Training Epoch: 12 [30912/49812]	Loss: 1.3255	LR: 0.100000
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Training Epoch: 12 [31936/49812]	Loss: 1.5680	LR: 0.100000
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Training Epoch: 12 [32064/49812]	Loss: 1.3153	LR: 0.100000
Training Epoch: 12 [32128/49812]	Loss: 1.2401	LR: 0.100000
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Training Epoch: 12 [32320/49812]	Loss: 1.0964	LR: 0.100000
Training Epoch: 12 [32384/49812]	Loss: 0.9662	LR: 0.100000
Training Epoch: 12 [32448/49812]	Loss: 1.3526	LR: 0.100000
Training Epoch: 12 [32512/49812]	Loss: 1.7197	LR: 0.100000
Training Epoch: 12 [32576/49812]	Loss: 1.2460	LR: 0.100000
Training Epoch: 12 [32640/49812]	Loss: 1.3032	LR: 0.100000
Training Epoch: 12 [32704/49812]	Loss: 1.4804	LR: 0.100000
Training Epoch: 12 [32768/49812]	Loss: 1.5977	LR: 0.100000
Training Epoch: 12 [32832/49812]	Loss: 1.4795	LR: 0.100000
Training Epoch: 12 [32896/49812]	Loss: 1.6215	LR: 0.100000
Training Epoch: 12 [32960/49812]	Loss: 1.5214	LR: 0.100000
Training Epoch: 12 [33024/49812]	Loss: 1.2724	LR: 0.100000
Training Epoch: 12 [33088/49812]	Loss: 1.1906	LR: 0.100000
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Training Epoch: 12 [33344/49812]	Loss: 1.2395	LR: 0.100000
Training Epoch: 12 [33408/49812]	Loss: 1.1130	LR: 0.100000
Training Epoch: 12 [33472/49812]	Loss: 1.7184	LR: 0.100000
Training Epoch: 12 [33536/49812]	Loss: 1.4545	LR: 0.100000
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Training Epoch: 12 [33664/49812]	Loss: 1.1594	LR: 0.100000
Training Epoch: 12 [33728/49812]	Loss: 1.5967	LR: 0.100000
Training Epoch: 12 [33792/49812]	Loss: 1.1898	LR: 0.100000
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Training Epoch: 12 [33984/49812]	Loss: 1.3759	LR: 0.100000
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Training Epoch: 12 [34240/49812]	Loss: 1.3062	LR: 0.100000
Training Epoch: 12 [34304/49812]	Loss: 1.2549	LR: 0.100000
Training Epoch: 12 [34368/49812]	Loss: 1.4594	LR: 0.100000
Training Epoch: 12 [34432/49812]	Loss: 1.5994	LR: 0.100000
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Training Epoch: 12 [34816/49812]	Loss: 1.2894	LR: 0.100000
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Training Epoch: 12 [34944/49812]	Loss: 1.4854	LR: 0.100000
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Training Epoch: 12 [35072/49812]	Loss: 1.0984	LR: 0.100000
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Training Epoch: 12 [35456/49812]	Loss: 1.2608	LR: 0.100000
Training Epoch: 12 [35520/49812]	Loss: 1.3399	LR: 0.100000
Training Epoch: 12 [35584/49812]	Loss: 1.2800	LR: 0.100000
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Training Epoch: 12 [35776/49812]	Loss: 1.4831	LR: 0.100000
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Training Epoch: 12 [36032/49812]	Loss: 1.2953	LR: 0.100000
Training Epoch: 12 [36096/49812]	Loss: 0.9621	LR: 0.100000
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Training Epoch: 12 [36352/49812]	Loss: 1.5819	LR: 0.100000
Training Epoch: 12 [36416/49812]	Loss: 1.5659	LR: 0.100000
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Training Epoch: 12 [37056/49812]	Loss: 1.2713	LR: 0.100000
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Training Epoch: 12 [37184/49812]	Loss: 1.3157	LR: 0.100000
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Training Epoch: 12 [37312/49812]	Loss: 1.2144	LR: 0.100000
Training Epoch: 12 [37376/49812]	Loss: 1.5590	LR: 0.100000
Training Epoch: 12 [37440/49812]	Loss: 1.0774	LR: 0.100000
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Training Epoch: 12 [37824/49812]	Loss: 1.5485	LR: 0.100000
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Training Epoch: 12 [38080/49812]	Loss: 1.0674	LR: 0.100000
Training Epoch: 12 [38144/49812]	Loss: 1.2531	LR: 0.100000
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Training Epoch: 12 [40128/49812]	Loss: 1.3584	LR: 0.100000
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Training Epoch: 12 [40256/49812]	Loss: 1.0516	LR: 0.100000
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Training Epoch: 12 [40384/49812]	Loss: 1.6782	LR: 0.100000
Training Epoch: 12 [40448/49812]	Loss: 1.3965	LR: 0.100000
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Training Epoch: 12 [40576/49812]	Loss: 1.3584	LR: 0.100000
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Training Epoch: 12 [40896/49812]	Loss: 1.1365	LR: 0.100000
Training Epoch: 12 [40960/49812]	Loss: 1.4659	LR: 0.100000
Training Epoch: 12 [41024/49812]	Loss: 1.5959	LR: 0.100000
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Training Epoch: 12 [41856/49812]	Loss: 1.3370	LR: 0.100000
Training Epoch: 12 [41920/49812]	Loss: 2.0486	LR: 0.100000
Training Epoch: 12 [41984/49812]	Loss: 1.2805	LR: 0.100000
Training Epoch: 12 [42048/49812]	Loss: 1.3376	LR: 0.100000
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Training Epoch: 12 [42304/49812]	Loss: 1.5019	LR: 0.100000
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Training Epoch: 12 [49812/49812]	Loss: 1.5521	LR: 0.100000
Epoch 12 - Average Train Loss: 1.3663, Train Accuracy: 0.5663
Epoch 12 training time consumed: 264.41s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0252, Accuracy: 0.5190, Time consumed:17.56s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-12-best.pth
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Training Epoch: 13 [12928/49812]	Loss: 1.4223	LR: 0.100000
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Training Epoch: 13 [21888/49812]	Loss: 1.3380	LR: 0.100000
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Training Epoch: 13 [22016/49812]	Loss: 1.4414	LR: 0.100000
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Epoch 13 - Average Train Loss: 1.3484, Train Accuracy: 0.5739
Epoch 13 training time consumed: 260.91s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0217, Accuracy: 0.5644, Time consumed:17.33s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-13-best.pth
Training Epoch: 14 [64/49812]	Loss: 1.3644	LR: 0.100000
Training Epoch: 14 [128/49812]	Loss: 1.2861	LR: 0.100000
Training Epoch: 14 [192/49812]	Loss: 1.2471	LR: 0.100000
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Training Epoch: 14 [9472/49812]	Loss: 1.1988	LR: 0.100000
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Training Epoch: 14 [19264/49812]	Loss: 1.4756	LR: 0.100000
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Training Epoch: 14 [20992/49812]	Loss: 1.3557	LR: 0.100000
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Training Epoch: 14 [21952/49812]	Loss: 1.0594	LR: 0.100000
Training Epoch: 14 [22016/49812]	Loss: 1.2147	LR: 0.100000
Training Epoch: 14 [22080/49812]	Loss: 1.1605	LR: 0.100000
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Training Epoch: 14 [22208/49812]	Loss: 1.0865	LR: 0.100000
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Training Epoch: 14 [22400/49812]	Loss: 0.9072	LR: 0.100000
Training Epoch: 14 [22464/49812]	Loss: 1.6425	LR: 0.100000
Training Epoch: 14 [22528/49812]	Loss: 1.3709	LR: 0.100000
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Training Epoch: 14 [22784/49812]	Loss: 1.3154	LR: 0.100000
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Training Epoch: 14 [24192/49812]	Loss: 0.9823	LR: 0.100000
Training Epoch: 14 [24256/49812]	Loss: 1.2538	LR: 0.100000
Training Epoch: 14 [24320/49812]	Loss: 1.3406	LR: 0.100000
Training Epoch: 14 [24384/49812]	Loss: 1.1751	LR: 0.100000
Training Epoch: 14 [24448/49812]	Loss: 1.0366	LR: 0.100000
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Training Epoch: 14 [24832/49812]	Loss: 1.0855	LR: 0.100000
Training Epoch: 14 [24896/49812]	Loss: 1.3831	LR: 0.100000
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Training Epoch: 14 [25024/49812]	Loss: 1.3486	LR: 0.100000
Training Epoch: 14 [25088/49812]	Loss: 1.1181	LR: 0.100000
Training Epoch: 14 [25152/49812]	Loss: 1.3182	LR: 0.100000
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Training Epoch: 14 [25536/49812]	Loss: 1.5124	LR: 0.100000
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Training Epoch: 14 [28224/49812]	Loss: 1.3202	LR: 0.100000
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Training Epoch: 14 [28928/49812]	Loss: 1.4626	LR: 0.100000
Training Epoch: 14 [28992/49812]	Loss: 1.1903	LR: 0.100000
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Training Epoch: 14 [38528/49812]	Loss: 1.2146	LR: 0.100000
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Training Epoch: 14 [41472/49812]	Loss: 1.2826	LR: 0.100000
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Training Epoch: 14 [42432/49812]	Loss: 1.3660	LR: 0.100000
Training Epoch: 14 [42496/49812]	Loss: 1.4975	LR: 0.100000
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Training Epoch: 14 [42688/49812]	Loss: 1.5013	LR: 0.100000
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Training Epoch: 14 [42816/49812]	Loss: 1.2402	LR: 0.100000
Training Epoch: 14 [42880/49812]	Loss: 1.2184	LR: 0.100000
Training Epoch: 14 [42944/49812]	Loss: 1.5022	LR: 0.100000
Training Epoch: 14 [43008/49812]	Loss: 1.2725	LR: 0.100000
Training Epoch: 14 [43072/49812]	Loss: 1.5414	LR: 0.100000
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Training Epoch: 14 [43200/49812]	Loss: 1.2200	LR: 0.100000
Training Epoch: 14 [43264/49812]	Loss: 1.5131	LR: 0.100000
Training Epoch: 14 [43328/49812]	Loss: 1.2008	LR: 0.100000
Training Epoch: 14 [43392/49812]	Loss: 1.2755	LR: 0.100000
Training Epoch: 14 [43456/49812]	Loss: 1.3870	LR: 0.100000
Training Epoch: 14 [43520/49812]	Loss: 1.3939	LR: 0.100000
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Training Epoch: 14 [43776/49812]	Loss: 1.4491	LR: 0.100000
Training Epoch: 14 [43840/49812]	Loss: 1.3580	LR: 0.100000
Training Epoch: 14 [43904/49812]	Loss: 1.2006	LR: 0.100000
Training Epoch: 14 [43968/49812]	Loss: 1.2287	LR: 0.100000
Training Epoch: 14 [44032/49812]	Loss: 1.4590	LR: 0.100000
Training Epoch: 14 [44096/49812]	Loss: 1.3034	LR: 0.100000
Training Epoch: 14 [44160/49812]	Loss: 1.2298	LR: 0.100000
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Training Epoch: 14 [44544/49812]	Loss: 1.6271	LR: 0.100000
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Training Epoch: 14 [44736/49812]	Loss: 0.9551	LR: 0.100000
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Training Epoch: 14 [44864/49812]	Loss: 1.6876	LR: 0.100000
Training Epoch: 14 [44928/49812]	Loss: 1.6090	LR: 0.100000
Training Epoch: 14 [44992/49812]	Loss: 1.1891	LR: 0.100000
Training Epoch: 14 [45056/49812]	Loss: 1.2969	LR: 0.100000
Training Epoch: 14 [45120/49812]	Loss: 1.4339	LR: 0.100000
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Training Epoch: 14 [45376/49812]	Loss: 1.4589	LR: 0.100000
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Training Epoch: 14 [45504/49812]	Loss: 1.3893	LR: 0.100000
Training Epoch: 14 [45568/49812]	Loss: 1.5969	LR: 0.100000
Training Epoch: 14 [45632/49812]	Loss: 1.4138	LR: 0.100000
Training Epoch: 14 [45696/49812]	Loss: 1.2329	LR: 0.100000
Training Epoch: 14 [45760/49812]	Loss: 1.4713	LR: 0.100000
Training Epoch: 14 [45824/49812]	Loss: 1.2569	LR: 0.100000
Training Epoch: 14 [45888/49812]	Loss: 1.4963	LR: 0.100000
Training Epoch: 14 [45952/49812]	Loss: 1.3353	LR: 0.100000
Training Epoch: 14 [46016/49812]	Loss: 1.2718	LR: 0.100000
Training Epoch: 14 [46080/49812]	Loss: 1.4641	LR: 0.100000
Training Epoch: 14 [46144/49812]	Loss: 1.3561	LR: 0.100000
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Training Epoch: 14 [46528/49812]	Loss: 1.6257	LR: 0.100000
Training Epoch: 14 [46592/49812]	Loss: 1.6102	LR: 0.100000
Training Epoch: 14 [46656/49812]	Loss: 1.1629	LR: 0.100000
Training Epoch: 14 [46720/49812]	Loss: 1.3592	LR: 0.100000
Training Epoch: 14 [46784/49812]	Loss: 1.4337	LR: 0.100000
Training Epoch: 14 [46848/49812]	Loss: 1.5313	LR: 0.100000
Training Epoch: 14 [46912/49812]	Loss: 1.2368	LR: 0.100000
Training Epoch: 14 [46976/49812]	Loss: 1.6124	LR: 0.100000
Training Epoch: 14 [47040/49812]	Loss: 1.4718	LR: 0.100000
Training Epoch: 14 [47104/49812]	Loss: 1.3505	LR: 0.100000
Training Epoch: 14 [47168/49812]	Loss: 1.2911	LR: 0.100000
Training Epoch: 14 [47232/49812]	Loss: 1.5044	LR: 0.100000
Training Epoch: 14 [47296/49812]	Loss: 1.0488	LR: 0.100000
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Training Epoch: 14 [47424/49812]	Loss: 1.2539	LR: 0.100000
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Training Epoch: 14 [47616/49812]	Loss: 1.1851	LR: 0.100000
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Training Epoch: 14 [47744/49812]	Loss: 1.2938	LR: 0.100000
Training Epoch: 14 [47808/49812]	Loss: 1.5791	LR: 0.100000
Training Epoch: 14 [47872/49812]	Loss: 1.3864	LR: 0.100000
Training Epoch: 14 [47936/49812]	Loss: 1.3493	LR: 0.100000
Training Epoch: 14 [48000/49812]	Loss: 1.6742	LR: 0.100000
Training Epoch: 14 [48064/49812]	Loss: 1.4416	LR: 0.100000
Training Epoch: 14 [48128/49812]	Loss: 1.4206	LR: 0.100000
Training Epoch: 14 [48192/49812]	Loss: 1.2797	LR: 0.100000
Training Epoch: 14 [48256/49812]	Loss: 1.1518	LR: 0.100000
Training Epoch: 14 [48320/49812]	Loss: 1.5668	LR: 0.100000
Training Epoch: 14 [48384/49812]	Loss: 1.3516	LR: 0.100000
Training Epoch: 14 [48448/49812]	Loss: 1.3196	LR: 0.100000
Training Epoch: 14 [48512/49812]	Loss: 1.3416	LR: 0.100000
Training Epoch: 14 [48576/49812]	Loss: 1.5258	LR: 0.100000
Training Epoch: 14 [48640/49812]	Loss: 1.5200	LR: 0.100000
Training Epoch: 14 [48704/49812]	Loss: 1.4716	LR: 0.100000
Training Epoch: 14 [48768/49812]	Loss: 1.0325	LR: 0.100000
Training Epoch: 14 [48832/49812]	Loss: 1.4488	LR: 0.100000
Training Epoch: 14 [48896/49812]	Loss: 1.4226	LR: 0.100000
Training Epoch: 14 [48960/49812]	Loss: 1.2915	LR: 0.100000
Training Epoch: 14 [49024/49812]	Loss: 1.3745	LR: 0.100000
Training Epoch: 14 [49088/49812]	Loss: 1.2900	LR: 0.100000
Training Epoch: 14 [49152/49812]	Loss: 1.5676	LR: 0.100000
Training Epoch: 14 [49216/49812]	Loss: 1.4810	LR: 0.100000
Training Epoch: 14 [49280/49812]	Loss: 1.2937	LR: 0.100000
Training Epoch: 14 [49344/49812]	Loss: 1.2382	LR: 0.100000
Training Epoch: 14 [49408/49812]	Loss: 1.2654	LR: 0.100000
Training Epoch: 14 [49472/49812]	Loss: 1.4059	LR: 0.100000
Training Epoch: 14 [49536/49812]	Loss: 1.4612	LR: 0.100000
Training Epoch: 14 [49600/49812]	Loss: 1.4831	LR: 0.100000
Training Epoch: 14 [49664/49812]	Loss: 1.0867	LR: 0.100000
Training Epoch: 14 [49728/49812]	Loss: 1.4795	LR: 0.100000
Training Epoch: 14 [49792/49812]	Loss: 1.3583	LR: 0.100000
Training Epoch: 14 [49812/49812]	Loss: 1.4946	LR: 0.100000
Epoch 14 - Average Train Loss: 1.3383, Train Accuracy: 0.5781
Epoch 14 training time consumed: 264.05s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0232, Accuracy: 0.5533, Time consumed:17.10s
Training Epoch: 15 [64/49812]	Loss: 1.2263	LR: 0.020000
Training Epoch: 15 [128/49812]	Loss: 1.3820	LR: 0.020000
Training Epoch: 15 [192/49812]	Loss: 1.6116	LR: 0.020000
Training Epoch: 15 [256/49812]	Loss: 1.4049	LR: 0.020000
Training Epoch: 15 [320/49812]	Loss: 1.5508	LR: 0.020000
Training Epoch: 15 [384/49812]	Loss: 1.0632	LR: 0.020000
Training Epoch: 15 [448/49812]	Loss: 1.3617	LR: 0.020000
Training Epoch: 15 [512/49812]	Loss: 1.3013	LR: 0.020000
Training Epoch: 15 [576/49812]	Loss: 1.3807	LR: 0.020000
Training Epoch: 15 [640/49812]	Loss: 1.1319	LR: 0.020000
Training Epoch: 15 [704/49812]	Loss: 1.1869	LR: 0.020000
Training Epoch: 15 [768/49812]	Loss: 1.2722	LR: 0.020000
Training Epoch: 15 [832/49812]	Loss: 1.2338	LR: 0.020000
Training Epoch: 15 [896/49812]	Loss: 1.1838	LR: 0.020000
Training Epoch: 15 [960/49812]	Loss: 1.0126	LR: 0.020000
Training Epoch: 15 [1024/49812]	Loss: 1.0479	LR: 0.020000
Training Epoch: 15 [1088/49812]	Loss: 1.2017	LR: 0.020000
Training Epoch: 15 [1152/49812]	Loss: 1.1324	LR: 0.020000
Training Epoch: 15 [1216/49812]	Loss: 1.0743	LR: 0.020000
Training Epoch: 15 [1280/49812]	Loss: 1.0127	LR: 0.020000
Training Epoch: 15 [1344/49812]	Loss: 1.1879	LR: 0.020000
Training Epoch: 15 [1408/49812]	Loss: 1.2887	LR: 0.020000
Training Epoch: 15 [1472/49812]	Loss: 1.1750	LR: 0.020000
Training Epoch: 15 [1536/49812]	Loss: 1.1600	LR: 0.020000
Training Epoch: 15 [1600/49812]	Loss: 1.1955	LR: 0.020000
Training Epoch: 15 [1664/49812]	Loss: 1.1772	LR: 0.020000
Training Epoch: 15 [1728/49812]	Loss: 1.1988	LR: 0.020000
Training Epoch: 15 [1792/49812]	Loss: 0.8000	LR: 0.020000
Training Epoch: 15 [1856/49812]	Loss: 1.1562	LR: 0.020000
Training Epoch: 15 [1920/49812]	Loss: 1.5095	LR: 0.020000
Training Epoch: 15 [1984/49812]	Loss: 1.2035	LR: 0.020000
Training Epoch: 15 [2048/49812]	Loss: 1.2003	LR: 0.020000
Training Epoch: 15 [2112/49812]	Loss: 1.0809	LR: 0.020000
Training Epoch: 15 [2176/49812]	Loss: 1.0317	LR: 0.020000
Training Epoch: 15 [2240/49812]	Loss: 1.0563	LR: 0.020000
Training Epoch: 15 [2304/49812]	Loss: 1.3551	LR: 0.020000
Training Epoch: 15 [2368/49812]	Loss: 1.0644	LR: 0.020000
Training Epoch: 15 [2432/49812]	Loss: 0.9212	LR: 0.020000
Training Epoch: 15 [2496/49812]	Loss: 1.0977	LR: 0.020000
Training Epoch: 15 [2560/49812]	Loss: 0.9549	LR: 0.020000
Training Epoch: 15 [2624/49812]	Loss: 1.0850	LR: 0.020000
Training Epoch: 15 [2688/49812]	Loss: 0.8621	LR: 0.020000
Training Epoch: 15 [2752/49812]	Loss: 1.0670	LR: 0.020000
Training Epoch: 15 [2816/49812]	Loss: 1.0151	LR: 0.020000
Training Epoch: 15 [2880/49812]	Loss: 1.1657	LR: 0.020000
Training Epoch: 15 [2944/49812]	Loss: 1.2704	LR: 0.020000
Training Epoch: 15 [3008/49812]	Loss: 1.1218	LR: 0.020000
Training Epoch: 15 [3072/49812]	Loss: 0.7237	LR: 0.020000
Training Epoch: 15 [3136/49812]	Loss: 1.0734	LR: 0.020000
Training Epoch: 15 [3200/49812]	Loss: 1.1895	LR: 0.020000
Training Epoch: 15 [3264/49812]	Loss: 1.0631	LR: 0.020000
Training Epoch: 15 [3328/49812]	Loss: 1.0026	LR: 0.020000
Training Epoch: 15 [3392/49812]	Loss: 1.2204	LR: 0.020000
Training Epoch: 15 [3456/49812]	Loss: 1.0524	LR: 0.020000
Training Epoch: 15 [3520/49812]	Loss: 1.0024	LR: 0.020000
Training Epoch: 15 [3584/49812]	Loss: 0.9091	LR: 0.020000
Training Epoch: 15 [3648/49812]	Loss: 1.1858	LR: 0.020000
Training Epoch: 15 [3712/49812]	Loss: 1.0115	LR: 0.020000
Training Epoch: 15 [3776/49812]	Loss: 1.1079	LR: 0.020000
Training Epoch: 15 [3840/49812]	Loss: 0.9983	LR: 0.020000
Training Epoch: 15 [3904/49812]	Loss: 0.9202	LR: 0.020000
Training Epoch: 15 [3968/49812]	Loss: 1.2897	LR: 0.020000
Training Epoch: 15 [4032/49812]	Loss: 0.9817	LR: 0.020000
Training Epoch: 15 [4096/49812]	Loss: 1.1711	LR: 0.020000
Training Epoch: 15 [4160/49812]	Loss: 0.9845	LR: 0.020000
Training Epoch: 15 [4224/49812]	Loss: 0.8879	LR: 0.020000
Training Epoch: 15 [4288/49812]	Loss: 1.2148	LR: 0.020000
Training Epoch: 15 [4352/49812]	Loss: 1.0670	LR: 0.020000
Training Epoch: 15 [4416/49812]	Loss: 1.5167	LR: 0.020000
Training Epoch: 15 [4480/49812]	Loss: 1.0520	LR: 0.020000
Training Epoch: 15 [4544/49812]	Loss: 0.8096	LR: 0.020000
Training Epoch: 15 [4608/49812]	Loss: 0.7540	LR: 0.020000
Training Epoch: 15 [4672/49812]	Loss: 0.9074	LR: 0.020000
Training Epoch: 15 [4736/49812]	Loss: 1.0499	LR: 0.020000
Training Epoch: 15 [4800/49812]	Loss: 1.0056	LR: 0.020000
Training Epoch: 15 [4864/49812]	Loss: 1.0804	LR: 0.020000
Training Epoch: 15 [4928/49812]	Loss: 1.2129	LR: 0.020000
Training Epoch: 15 [4992/49812]	Loss: 1.2147	LR: 0.020000
Training Epoch: 15 [5056/49812]	Loss: 0.9633	LR: 0.020000
Training Epoch: 15 [5120/49812]	Loss: 1.0967	LR: 0.020000
Training Epoch: 15 [5184/49812]	Loss: 1.2022	LR: 0.020000
Training Epoch: 15 [5248/49812]	Loss: 1.0509	LR: 0.020000
Training Epoch: 15 [5312/49812]	Loss: 1.2223	LR: 0.020000
Training Epoch: 15 [5376/49812]	Loss: 1.1810	LR: 0.020000
Training Epoch: 15 [5440/49812]	Loss: 0.9080	LR: 0.020000
Training Epoch: 15 [5504/49812]	Loss: 1.0350	LR: 0.020000
Training Epoch: 15 [5568/49812]	Loss: 0.7683	LR: 0.020000
Training Epoch: 15 [5632/49812]	Loss: 0.9930	LR: 0.020000
Training Epoch: 15 [5696/49812]	Loss: 1.0050	LR: 0.020000
Training Epoch: 15 [5760/49812]	Loss: 0.9860	LR: 0.020000
Training Epoch: 15 [5824/49812]	Loss: 0.9447	LR: 0.020000
Training Epoch: 15 [5888/49812]	Loss: 1.0362	LR: 0.020000
Training Epoch: 15 [5952/49812]	Loss: 1.1010	LR: 0.020000
Training Epoch: 15 [6016/49812]	Loss: 1.0162	LR: 0.020000
Training Epoch: 15 [6080/49812]	Loss: 1.2066	LR: 0.020000
Training Epoch: 15 [6144/49812]	Loss: 0.8013	LR: 0.020000
Training Epoch: 15 [6208/49812]	Loss: 1.0132	LR: 0.020000
Training Epoch: 15 [6272/49812]	Loss: 0.9757	LR: 0.020000
Training Epoch: 15 [6336/49812]	Loss: 1.1802	LR: 0.020000
Training Epoch: 15 [6400/49812]	Loss: 1.0975	LR: 0.020000
Training Epoch: 15 [6464/49812]	Loss: 1.0276	LR: 0.020000
Training Epoch: 15 [6528/49812]	Loss: 0.9423	LR: 0.020000
Training Epoch: 15 [6592/49812]	Loss: 1.2020	LR: 0.020000
Training Epoch: 15 [6656/49812]	Loss: 1.0875	LR: 0.020000
Training Epoch: 15 [6720/49812]	Loss: 1.0950	LR: 0.020000
Training Epoch: 15 [6784/49812]	Loss: 1.1546	LR: 0.020000
Training Epoch: 15 [6848/49812]	Loss: 1.1321	LR: 0.020000
Training Epoch: 15 [6912/49812]	Loss: 0.8880	LR: 0.020000
Training Epoch: 15 [6976/49812]	Loss: 1.0772	LR: 0.020000
Training Epoch: 15 [7040/49812]	Loss: 0.9078	LR: 0.020000
Training Epoch: 15 [7104/49812]	Loss: 1.1064	LR: 0.020000
Training Epoch: 15 [7168/49812]	Loss: 1.1614	LR: 0.020000
Training Epoch: 15 [7232/49812]	Loss: 0.9944	LR: 0.020000
Training Epoch: 15 [7296/49812]	Loss: 1.0066	LR: 0.020000
Training Epoch: 15 [7360/49812]	Loss: 0.7686	LR: 0.020000
Training Epoch: 15 [7424/49812]	Loss: 1.0149	LR: 0.020000
Training Epoch: 15 [7488/49812]	Loss: 0.9490	LR: 0.020000
Training Epoch: 15 [7552/49812]	Loss: 1.0088	LR: 0.020000
Training Epoch: 15 [7616/49812]	Loss: 1.0803	LR: 0.020000
Training Epoch: 15 [7680/49812]	Loss: 0.9525	LR: 0.020000
Training Epoch: 15 [7744/49812]	Loss: 1.0636	LR: 0.020000
Training Epoch: 15 [7808/49812]	Loss: 0.9750	LR: 0.020000
Training Epoch: 15 [7872/49812]	Loss: 1.1104	LR: 0.020000
Training Epoch: 15 [7936/49812]	Loss: 0.9716	LR: 0.020000
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Training Epoch: 15 [8064/49812]	Loss: 1.0424	LR: 0.020000
Training Epoch: 15 [8128/49812]	Loss: 1.1053	LR: 0.020000
Training Epoch: 15 [8192/49812]	Loss: 1.0597	LR: 0.020000
Training Epoch: 15 [8256/49812]	Loss: 0.8487	LR: 0.020000
Training Epoch: 15 [8320/49812]	Loss: 0.9372	LR: 0.020000
Training Epoch: 15 [8384/49812]	Loss: 0.9911	LR: 0.020000
Training Epoch: 15 [8448/49812]	Loss: 0.7645	LR: 0.020000
Training Epoch: 15 [8512/49812]	Loss: 1.3801	LR: 0.020000
Training Epoch: 15 [8576/49812]	Loss: 0.8929	LR: 0.020000
Training Epoch: 15 [8640/49812]	Loss: 1.1374	LR: 0.020000
Training Epoch: 15 [8704/49812]	Loss: 1.0450	LR: 0.020000
Training Epoch: 15 [8768/49812]	Loss: 1.1189	LR: 0.020000
Training Epoch: 15 [8832/49812]	Loss: 0.9015	LR: 0.020000
Training Epoch: 15 [8896/49812]	Loss: 1.0317	LR: 0.020000
Training Epoch: 15 [8960/49812]	Loss: 1.0986	LR: 0.020000
Training Epoch: 15 [9024/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 15 [9088/49812]	Loss: 1.0060	LR: 0.020000
Training Epoch: 15 [9152/49812]	Loss: 1.0646	LR: 0.020000
Training Epoch: 15 [9216/49812]	Loss: 0.9718	LR: 0.020000
Training Epoch: 15 [9280/49812]	Loss: 1.0267	LR: 0.020000
Training Epoch: 15 [9344/49812]	Loss: 0.9676	LR: 0.020000
Training Epoch: 15 [9408/49812]	Loss: 0.9146	LR: 0.020000
Training Epoch: 15 [9472/49812]	Loss: 1.2081	LR: 0.020000
Training Epoch: 15 [9536/49812]	Loss: 1.1242	LR: 0.020000
Training Epoch: 15 [9600/49812]	Loss: 0.8465	LR: 0.020000
Training Epoch: 15 [9664/49812]	Loss: 1.0244	LR: 0.020000
Training Epoch: 15 [9728/49812]	Loss: 0.9541	LR: 0.020000
Training Epoch: 15 [9792/49812]	Loss: 1.3932	LR: 0.020000
Training Epoch: 15 [9856/49812]	Loss: 1.2014	LR: 0.020000
Training Epoch: 15 [9920/49812]	Loss: 0.7939	LR: 0.020000
Training Epoch: 15 [9984/49812]	Loss: 1.3858	LR: 0.020000
Training Epoch: 15 [10048/49812]	Loss: 1.0242	LR: 0.020000
Training Epoch: 15 [10112/49812]	Loss: 1.1834	LR: 0.020000
Training Epoch: 15 [10176/49812]	Loss: 0.8927	LR: 0.020000
Training Epoch: 15 [10240/49812]	Loss: 1.2756	LR: 0.020000
Training Epoch: 15 [10304/49812]	Loss: 1.0465	LR: 0.020000
Training Epoch: 15 [10368/49812]	Loss: 0.9269	LR: 0.020000
Training Epoch: 15 [10432/49812]	Loss: 0.7972	LR: 0.020000
Training Epoch: 15 [10496/49812]	Loss: 0.8224	LR: 0.020000
Training Epoch: 15 [10560/49812]	Loss: 1.0816	LR: 0.020000
Training Epoch: 15 [10624/49812]	Loss: 1.0314	LR: 0.020000
Training Epoch: 15 [10688/49812]	Loss: 0.9613	LR: 0.020000
Training Epoch: 15 [10752/49812]	Loss: 0.9214	LR: 0.020000
Training Epoch: 15 [10816/49812]	Loss: 0.7953	LR: 0.020000
Training Epoch: 15 [10880/49812]	Loss: 1.2239	LR: 0.020000
Training Epoch: 15 [10944/49812]	Loss: 0.9540	LR: 0.020000
Training Epoch: 15 [11008/49812]	Loss: 1.0029	LR: 0.020000
Training Epoch: 15 [11072/49812]	Loss: 1.0392	LR: 0.020000
Training Epoch: 15 [11136/49812]	Loss: 0.9414	LR: 0.020000
Training Epoch: 15 [11200/49812]	Loss: 1.2368	LR: 0.020000
Training Epoch: 15 [11264/49812]	Loss: 0.9000	LR: 0.020000
Training Epoch: 15 [11328/49812]	Loss: 1.2760	LR: 0.020000
Training Epoch: 15 [11392/49812]	Loss: 0.6074	LR: 0.020000
Training Epoch: 15 [11456/49812]	Loss: 0.9523	LR: 0.020000
Training Epoch: 15 [11520/49812]	Loss: 1.2545	LR: 0.020000
Training Epoch: 15 [11584/49812]	Loss: 1.1257	LR: 0.020000
Training Epoch: 15 [11648/49812]	Loss: 1.1173	LR: 0.020000
Training Epoch: 15 [11712/49812]	Loss: 1.0736	LR: 0.020000
Training Epoch: 15 [11776/49812]	Loss: 0.9107	LR: 0.020000
Training Epoch: 15 [11840/49812]	Loss: 1.1341	LR: 0.020000
Training Epoch: 15 [11904/49812]	Loss: 0.9282	LR: 0.020000
Training Epoch: 15 [11968/49812]	Loss: 1.0370	LR: 0.020000
Training Epoch: 15 [12032/49812]	Loss: 0.9797	LR: 0.020000
Training Epoch: 15 [12096/49812]	Loss: 0.9333	LR: 0.020000
Training Epoch: 15 [12160/49812]	Loss: 0.9013	LR: 0.020000
Training Epoch: 15 [12224/49812]	Loss: 0.9624	LR: 0.020000
Training Epoch: 15 [12288/49812]	Loss: 1.2992	LR: 0.020000
Training Epoch: 15 [12352/49812]	Loss: 1.0205	LR: 0.020000
Training Epoch: 15 [12416/49812]	Loss: 0.8770	LR: 0.020000
Training Epoch: 15 [12480/49812]	Loss: 0.7448	LR: 0.020000
Training Epoch: 15 [12544/49812]	Loss: 1.0140	LR: 0.020000
Training Epoch: 15 [12608/49812]	Loss: 1.2081	LR: 0.020000
Training Epoch: 15 [12672/49812]	Loss: 0.8913	LR: 0.020000
Training Epoch: 15 [12736/49812]	Loss: 0.9621	LR: 0.020000
Training Epoch: 15 [12800/49812]	Loss: 1.0188	LR: 0.020000
Training Epoch: 15 [12864/49812]	Loss: 0.8433	LR: 0.020000
Training Epoch: 15 [12928/49812]	Loss: 1.1765	LR: 0.020000
Training Epoch: 15 [12992/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 15 [13056/49812]	Loss: 1.0774	LR: 0.020000
Training Epoch: 15 [13120/49812]	Loss: 1.1860	LR: 0.020000
Training Epoch: 15 [13184/49812]	Loss: 1.0281	LR: 0.020000
Training Epoch: 15 [13248/49812]	Loss: 0.7992	LR: 0.020000
Training Epoch: 15 [13312/49812]	Loss: 1.0420	LR: 0.020000
Training Epoch: 15 [13376/49812]	Loss: 0.9180	LR: 0.020000
Training Epoch: 15 [13440/49812]	Loss: 0.9717	LR: 0.020000
Training Epoch: 15 [13504/49812]	Loss: 1.0089	LR: 0.020000
Training Epoch: 15 [13568/49812]	Loss: 1.0782	LR: 0.020000
Training Epoch: 15 [13632/49812]	Loss: 1.1181	LR: 0.020000
Training Epoch: 15 [13696/49812]	Loss: 0.9622	LR: 0.020000
Training Epoch: 15 [13760/49812]	Loss: 1.1309	LR: 0.020000
Training Epoch: 15 [13824/49812]	Loss: 1.0683	LR: 0.020000
Training Epoch: 15 [13888/49812]	Loss: 0.9508	LR: 0.020000
Training Epoch: 15 [13952/49812]	Loss: 1.0389	LR: 0.020000
Training Epoch: 15 [14016/49812]	Loss: 0.8834	LR: 0.020000
Training Epoch: 15 [14080/49812]	Loss: 0.8119	LR: 0.020000
Training Epoch: 15 [14144/49812]	Loss: 1.1009	LR: 0.020000
Training Epoch: 15 [14208/49812]	Loss: 0.9970	LR: 0.020000
Training Epoch: 15 [14272/49812]	Loss: 1.1942	LR: 0.020000
Training Epoch: 15 [14336/49812]	Loss: 0.9427	LR: 0.020000
Training Epoch: 15 [14400/49812]	Loss: 0.8258	LR: 0.020000
Training Epoch: 15 [14464/49812]	Loss: 1.1260	LR: 0.020000
Training Epoch: 15 [14528/49812]	Loss: 1.4308	LR: 0.020000
Training Epoch: 15 [14592/49812]	Loss: 1.2908	LR: 0.020000
Training Epoch: 15 [14656/49812]	Loss: 0.8880	LR: 0.020000
Training Epoch: 15 [14720/49812]	Loss: 1.0151	LR: 0.020000
Training Epoch: 15 [14784/49812]	Loss: 0.9454	LR: 0.020000
Training Epoch: 15 [14848/49812]	Loss: 1.0330	LR: 0.020000
Training Epoch: 15 [14912/49812]	Loss: 0.9928	LR: 0.020000
Training Epoch: 15 [14976/49812]	Loss: 0.9599	LR: 0.020000
Training Epoch: 15 [15040/49812]	Loss: 1.0148	LR: 0.020000
Training Epoch: 15 [15104/49812]	Loss: 0.8883	LR: 0.020000
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Training Epoch: 15 [15232/49812]	Loss: 1.1345	LR: 0.020000
Training Epoch: 15 [15296/49812]	Loss: 0.9426	LR: 0.020000
Training Epoch: 15 [15360/49812]	Loss: 1.1064	LR: 0.020000
Training Epoch: 15 [15424/49812]	Loss: 1.0058	LR: 0.020000
Training Epoch: 15 [15488/49812]	Loss: 1.0009	LR: 0.020000
Training Epoch: 15 [15552/49812]	Loss: 1.0542	LR: 0.020000
Training Epoch: 15 [15616/49812]	Loss: 1.1729	LR: 0.020000
Training Epoch: 15 [15680/49812]	Loss: 0.7501	LR: 0.020000
Training Epoch: 15 [15744/49812]	Loss: 0.9669	LR: 0.020000
Training Epoch: 15 [15808/49812]	Loss: 0.8775	LR: 0.020000
Training Epoch: 15 [15872/49812]	Loss: 1.0362	LR: 0.020000
Training Epoch: 15 [15936/49812]	Loss: 1.1648	LR: 0.020000
Training Epoch: 15 [16000/49812]	Loss: 1.0420	LR: 0.020000
Training Epoch: 15 [16064/49812]	Loss: 0.9985	LR: 0.020000
Training Epoch: 15 [16128/49812]	Loss: 0.9534	LR: 0.020000
Training Epoch: 15 [16192/49812]	Loss: 1.0112	LR: 0.020000
Training Epoch: 15 [16256/49812]	Loss: 0.9836	LR: 0.020000
Training Epoch: 15 [16320/49812]	Loss: 1.1726	LR: 0.020000
Training Epoch: 15 [16384/49812]	Loss: 0.7420	LR: 0.020000
Training Epoch: 15 [16448/49812]	Loss: 1.1121	LR: 0.020000
Training Epoch: 15 [16512/49812]	Loss: 0.9345	LR: 0.020000
Training Epoch: 15 [16576/49812]	Loss: 1.1364	LR: 0.020000
Training Epoch: 15 [16640/49812]	Loss: 1.0939	LR: 0.020000
Training Epoch: 15 [16704/49812]	Loss: 0.9618	LR: 0.020000
Training Epoch: 15 [16768/49812]	Loss: 0.9796	LR: 0.020000
Training Epoch: 15 [16832/49812]	Loss: 0.9032	LR: 0.020000
Training Epoch: 15 [16896/49812]	Loss: 1.0771	LR: 0.020000
Training Epoch: 15 [16960/49812]	Loss: 0.9422	LR: 0.020000
Training Epoch: 15 [17024/49812]	Loss: 0.8082	LR: 0.020000
Training Epoch: 15 [17088/49812]	Loss: 0.9333	LR: 0.020000
Training Epoch: 15 [17152/49812]	Loss: 1.0886	LR: 0.020000
Training Epoch: 15 [17216/49812]	Loss: 0.9273	LR: 0.020000
Training Epoch: 15 [17280/49812]	Loss: 0.9825	LR: 0.020000
Training Epoch: 15 [17344/49812]	Loss: 1.1049	LR: 0.020000
Training Epoch: 15 [17408/49812]	Loss: 1.0327	LR: 0.020000
Training Epoch: 15 [17472/49812]	Loss: 1.0634	LR: 0.020000
Training Epoch: 15 [17536/49812]	Loss: 1.0052	LR: 0.020000
Training Epoch: 15 [17600/49812]	Loss: 0.8105	LR: 0.020000
Training Epoch: 15 [17664/49812]	Loss: 0.9299	LR: 0.020000
Training Epoch: 15 [17728/49812]	Loss: 0.9801	LR: 0.020000
Training Epoch: 15 [17792/49812]	Loss: 1.0656	LR: 0.020000
Training Epoch: 15 [17856/49812]	Loss: 1.2242	LR: 0.020000
Training Epoch: 15 [17920/49812]	Loss: 0.8898	LR: 0.020000
Training Epoch: 15 [17984/49812]	Loss: 0.6628	LR: 0.020000
Training Epoch: 15 [18048/49812]	Loss: 1.3281	LR: 0.020000
Training Epoch: 15 [18112/49812]	Loss: 0.9293	LR: 0.020000
Training Epoch: 15 [18176/49812]	Loss: 0.9358	LR: 0.020000
Training Epoch: 15 [18240/49812]	Loss: 1.0247	LR: 0.020000
Training Epoch: 15 [18304/49812]	Loss: 0.8787	LR: 0.020000
Training Epoch: 15 [18368/49812]	Loss: 1.0801	LR: 0.020000
Training Epoch: 15 [18432/49812]	Loss: 1.1369	LR: 0.020000
Training Epoch: 15 [18496/49812]	Loss: 1.0370	LR: 0.020000
Training Epoch: 15 [18560/49812]	Loss: 0.8197	LR: 0.020000
Training Epoch: 15 [18624/49812]	Loss: 1.0256	LR: 0.020000
Training Epoch: 15 [18688/49812]	Loss: 1.0212	LR: 0.020000
Training Epoch: 15 [18752/49812]	Loss: 0.7415	LR: 0.020000
Training Epoch: 15 [18816/49812]	Loss: 0.9830	LR: 0.020000
Training Epoch: 15 [18880/49812]	Loss: 0.9311	LR: 0.020000
Training Epoch: 15 [18944/49812]	Loss: 0.9672	LR: 0.020000
Training Epoch: 15 [19008/49812]	Loss: 0.9155	LR: 0.020000
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Training Epoch: 15 [19136/49812]	Loss: 0.9759	LR: 0.020000
Training Epoch: 15 [19200/49812]	Loss: 1.0241	LR: 0.020000
Training Epoch: 15 [19264/49812]	Loss: 1.1337	LR: 0.020000
Training Epoch: 15 [19328/49812]	Loss: 0.7573	LR: 0.020000
Training Epoch: 15 [19392/49812]	Loss: 1.0974	LR: 0.020000
Training Epoch: 15 [19456/49812]	Loss: 0.8690	LR: 0.020000
Training Epoch: 15 [19520/49812]	Loss: 0.9801	LR: 0.020000
Training Epoch: 15 [19584/49812]	Loss: 1.0936	LR: 0.020000
Training Epoch: 15 [19648/49812]	Loss: 0.7722	LR: 0.020000
Training Epoch: 15 [19712/49812]	Loss: 0.8654	LR: 0.020000
Training Epoch: 15 [19776/49812]	Loss: 0.8837	LR: 0.020000
Training Epoch: 15 [19840/49812]	Loss: 0.8964	LR: 0.020000
Training Epoch: 15 [19904/49812]	Loss: 0.9956	LR: 0.020000
Training Epoch: 15 [19968/49812]	Loss: 0.9950	LR: 0.020000
Training Epoch: 15 [20032/49812]	Loss: 1.0955	LR: 0.020000
Training Epoch: 15 [20096/49812]	Loss: 1.1263	LR: 0.020000
Training Epoch: 15 [20160/49812]	Loss: 0.9972	LR: 0.020000
Training Epoch: 15 [20224/49812]	Loss: 0.8671	LR: 0.020000
Training Epoch: 15 [20288/49812]	Loss: 0.8586	LR: 0.020000
Training Epoch: 15 [20352/49812]	Loss: 0.8765	LR: 0.020000
Training Epoch: 15 [20416/49812]	Loss: 0.7900	LR: 0.020000
Training Epoch: 15 [20480/49812]	Loss: 1.1723	LR: 0.020000
Training Epoch: 15 [20544/49812]	Loss: 1.0917	LR: 0.020000
Training Epoch: 15 [20608/49812]	Loss: 0.9002	LR: 0.020000
Training Epoch: 15 [20672/49812]	Loss: 0.8963	LR: 0.020000
Training Epoch: 15 [20736/49812]	Loss: 0.9648	LR: 0.020000
Training Epoch: 15 [20800/49812]	Loss: 1.0563	LR: 0.020000
Training Epoch: 15 [20864/49812]	Loss: 1.0070	LR: 0.020000
Training Epoch: 15 [20928/49812]	Loss: 0.8032	LR: 0.020000
Training Epoch: 15 [20992/49812]	Loss: 1.0770	LR: 0.020000
Training Epoch: 15 [21056/49812]	Loss: 0.7937	LR: 0.020000
Training Epoch: 15 [21120/49812]	Loss: 0.7758	LR: 0.020000
Training Epoch: 15 [21184/49812]	Loss: 0.8983	LR: 0.020000
Training Epoch: 15 [21248/49812]	Loss: 0.8803	LR: 0.020000
Training Epoch: 15 [21312/49812]	Loss: 1.0213	LR: 0.020000
Training Epoch: 15 [21376/49812]	Loss: 1.0149	LR: 0.020000
Training Epoch: 15 [21440/49812]	Loss: 0.9654	LR: 0.020000
Training Epoch: 15 [21504/49812]	Loss: 1.0172	LR: 0.020000
Training Epoch: 15 [21568/49812]	Loss: 0.8680	LR: 0.020000
Training Epoch: 15 [21632/49812]	Loss: 1.2414	LR: 0.020000
Training Epoch: 15 [21696/49812]	Loss: 1.0362	LR: 0.020000
Training Epoch: 15 [21760/49812]	Loss: 0.8234	LR: 0.020000
Training Epoch: 15 [21824/49812]	Loss: 0.9585	LR: 0.020000
Training Epoch: 15 [21888/49812]	Loss: 1.1728	LR: 0.020000
Training Epoch: 15 [21952/49812]	Loss: 0.8958	LR: 0.020000
Training Epoch: 15 [22016/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 15 [22080/49812]	Loss: 0.8706	LR: 0.020000
Training Epoch: 15 [22144/49812]	Loss: 1.0496	LR: 0.020000
Training Epoch: 15 [22208/49812]	Loss: 0.9430	LR: 0.020000
Training Epoch: 15 [22272/49812]	Loss: 1.0572	LR: 0.020000
Training Epoch: 15 [22336/49812]	Loss: 0.7709	LR: 0.020000
Training Epoch: 15 [22400/49812]	Loss: 0.7423	LR: 0.020000
Training Epoch: 15 [22464/49812]	Loss: 0.8778	LR: 0.020000
Training Epoch: 15 [22528/49812]	Loss: 0.9327	LR: 0.020000
Training Epoch: 15 [22592/49812]	Loss: 0.9386	LR: 0.020000
Training Epoch: 15 [22656/49812]	Loss: 0.9201	LR: 0.020000
Training Epoch: 15 [22720/49812]	Loss: 0.9186	LR: 0.020000
Training Epoch: 15 [22784/49812]	Loss: 0.9592	LR: 0.020000
Training Epoch: 15 [22848/49812]	Loss: 1.0485	LR: 0.020000
Training Epoch: 15 [22912/49812]	Loss: 1.1392	LR: 0.020000
Training Epoch: 15 [22976/49812]	Loss: 0.9659	LR: 0.020000
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Training Epoch: 15 [23104/49812]	Loss: 0.8951	LR: 0.020000
Training Epoch: 15 [23168/49812]	Loss: 1.1595	LR: 0.020000
Training Epoch: 15 [23232/49812]	Loss: 0.9101	LR: 0.020000
Training Epoch: 15 [23296/49812]	Loss: 0.8445	LR: 0.020000
Training Epoch: 15 [23360/49812]	Loss: 1.1704	LR: 0.020000
Training Epoch: 15 [23424/49812]	Loss: 0.9833	LR: 0.020000
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Training Epoch: 15 [23552/49812]	Loss: 1.0270	LR: 0.020000
Training Epoch: 15 [23616/49812]	Loss: 0.8464	LR: 0.020000
Training Epoch: 15 [23680/49812]	Loss: 1.1400	LR: 0.020000
Training Epoch: 15 [23744/49812]	Loss: 0.9442	LR: 0.020000
Training Epoch: 15 [23808/49812]	Loss: 0.9694	LR: 0.020000
Training Epoch: 15 [23872/49812]	Loss: 0.8563	LR: 0.020000
Training Epoch: 15 [23936/49812]	Loss: 0.7790	LR: 0.020000
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Training Epoch: 15 [24064/49812]	Loss: 1.0458	LR: 0.020000
Training Epoch: 15 [24128/49812]	Loss: 0.9615	LR: 0.020000
Training Epoch: 15 [24192/49812]	Loss: 1.1020	LR: 0.020000
Training Epoch: 15 [24256/49812]	Loss: 0.6764	LR: 0.020000
Training Epoch: 15 [24320/49812]	Loss: 0.8389	LR: 0.020000
Training Epoch: 15 [24384/49812]	Loss: 0.9958	LR: 0.020000
Training Epoch: 15 [24448/49812]	Loss: 0.7698	LR: 0.020000
Training Epoch: 15 [24512/49812]	Loss: 0.7182	LR: 0.020000
Training Epoch: 15 [24576/49812]	Loss: 0.6539	LR: 0.020000
Training Epoch: 15 [24640/49812]	Loss: 1.0079	LR: 0.020000
Training Epoch: 15 [24704/49812]	Loss: 0.7545	LR: 0.020000
Training Epoch: 15 [24768/49812]	Loss: 0.8126	LR: 0.020000
Training Epoch: 15 [24832/49812]	Loss: 0.8074	LR: 0.020000
Training Epoch: 15 [24896/49812]	Loss: 0.7418	LR: 0.020000
Training Epoch: 15 [24960/49812]	Loss: 0.7992	LR: 0.020000
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Training Epoch: 15 [25088/49812]	Loss: 0.8770	LR: 0.020000
Training Epoch: 15 [25152/49812]	Loss: 0.9857	LR: 0.020000
Training Epoch: 15 [25216/49812]	Loss: 1.1752	LR: 0.020000
Training Epoch: 15 [25280/49812]	Loss: 0.8143	LR: 0.020000
Training Epoch: 15 [25344/49812]	Loss: 1.0457	LR: 0.020000
Training Epoch: 15 [25408/49812]	Loss: 0.9309	LR: 0.020000
Training Epoch: 15 [25472/49812]	Loss: 1.0121	LR: 0.020000
Training Epoch: 15 [25536/49812]	Loss: 1.0018	LR: 0.020000
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Training Epoch: 15 [25664/49812]	Loss: 0.7438	LR: 0.020000
Training Epoch: 15 [25728/49812]	Loss: 0.9519	LR: 0.020000
Training Epoch: 15 [25792/49812]	Loss: 0.8835	LR: 0.020000
Training Epoch: 15 [25856/49812]	Loss: 0.9780	LR: 0.020000
Training Epoch: 15 [25920/49812]	Loss: 1.1248	LR: 0.020000
Training Epoch: 15 [25984/49812]	Loss: 1.0546	LR: 0.020000
Training Epoch: 15 [26048/49812]	Loss: 0.9724	LR: 0.020000
Training Epoch: 15 [26112/49812]	Loss: 1.0426	LR: 0.020000
Training Epoch: 15 [26176/49812]	Loss: 0.9259	LR: 0.020000
Training Epoch: 15 [26240/49812]	Loss: 0.8881	LR: 0.020000
Training Epoch: 15 [26304/49812]	Loss: 0.8314	LR: 0.020000
Training Epoch: 15 [26368/49812]	Loss: 1.1087	LR: 0.020000
Training Epoch: 15 [26432/49812]	Loss: 1.1204	LR: 0.020000
Training Epoch: 15 [26496/49812]	Loss: 1.0046	LR: 0.020000
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Training Epoch: 15 [26624/49812]	Loss: 1.0519	LR: 0.020000
Training Epoch: 15 [26688/49812]	Loss: 0.9127	LR: 0.020000
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Training Epoch: 15 [26944/49812]	Loss: 0.9824	LR: 0.020000
Training Epoch: 15 [27008/49812]	Loss: 1.2118	LR: 0.020000
Training Epoch: 15 [27072/49812]	Loss: 0.9570	LR: 0.020000
Training Epoch: 15 [27136/49812]	Loss: 1.2028	LR: 0.020000
Training Epoch: 15 [27200/49812]	Loss: 1.0935	LR: 0.020000
Training Epoch: 15 [27264/49812]	Loss: 0.8100	LR: 0.020000
Training Epoch: 15 [27328/49812]	Loss: 0.8777	LR: 0.020000
Training Epoch: 15 [27392/49812]	Loss: 0.8073	LR: 0.020000
Training Epoch: 15 [27456/49812]	Loss: 1.0944	LR: 0.020000
Training Epoch: 15 [27520/49812]	Loss: 0.9130	LR: 0.020000
Training Epoch: 15 [27584/49812]	Loss: 0.9834	LR: 0.020000
Training Epoch: 15 [27648/49812]	Loss: 1.2395	LR: 0.020000
Training Epoch: 15 [27712/49812]	Loss: 0.9775	LR: 0.020000
Training Epoch: 15 [27776/49812]	Loss: 1.1599	LR: 0.020000
Training Epoch: 15 [27840/49812]	Loss: 0.9788	LR: 0.020000
Training Epoch: 15 [27904/49812]	Loss: 1.1341	LR: 0.020000
Training Epoch: 15 [27968/49812]	Loss: 0.9428	LR: 0.020000
Training Epoch: 15 [28032/49812]	Loss: 1.1005	LR: 0.020000
Training Epoch: 15 [28096/49812]	Loss: 1.0455	LR: 0.020000
Training Epoch: 15 [28160/49812]	Loss: 0.7570	LR: 0.020000
Training Epoch: 15 [28224/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 15 [28288/49812]	Loss: 0.8668	LR: 0.020000
Training Epoch: 15 [28352/49812]	Loss: 0.8522	LR: 0.020000
Training Epoch: 15 [28416/49812]	Loss: 1.0911	LR: 0.020000
Training Epoch: 15 [28480/49812]	Loss: 0.8792	LR: 0.020000
Training Epoch: 15 [28544/49812]	Loss: 0.6957	LR: 0.020000
Training Epoch: 15 [28608/49812]	Loss: 1.0486	LR: 0.020000
Training Epoch: 15 [28672/49812]	Loss: 0.8991	LR: 0.020000
Training Epoch: 15 [28736/49812]	Loss: 1.2125	LR: 0.020000
Training Epoch: 15 [28800/49812]	Loss: 0.9126	LR: 0.020000
Training Epoch: 15 [28864/49812]	Loss: 1.0881	LR: 0.020000
Training Epoch: 15 [28928/49812]	Loss: 0.9999	LR: 0.020000
Training Epoch: 15 [28992/49812]	Loss: 1.0165	LR: 0.020000
Training Epoch: 15 [29056/49812]	Loss: 1.1420	LR: 0.020000
Training Epoch: 15 [29120/49812]	Loss: 0.7827	LR: 0.020000
Training Epoch: 15 [29184/49812]	Loss: 1.0189	LR: 0.020000
Training Epoch: 15 [29248/49812]	Loss: 0.8244	LR: 0.020000
Training Epoch: 15 [29312/49812]	Loss: 0.8722	LR: 0.020000
Training Epoch: 15 [29376/49812]	Loss: 1.0695	LR: 0.020000
Training Epoch: 15 [29440/49812]	Loss: 0.6927	LR: 0.020000
Training Epoch: 15 [29504/49812]	Loss: 0.7372	LR: 0.020000
Training Epoch: 15 [29568/49812]	Loss: 0.9551	LR: 0.020000
Training Epoch: 15 [29632/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 15 [29696/49812]	Loss: 1.1592	LR: 0.020000
Training Epoch: 15 [29760/49812]	Loss: 0.8425	LR: 0.020000
Training Epoch: 15 [29824/49812]	Loss: 0.8380	LR: 0.020000
Training Epoch: 15 [29888/49812]	Loss: 0.8851	LR: 0.020000
Training Epoch: 15 [29952/49812]	Loss: 0.7899	LR: 0.020000
Training Epoch: 15 [30016/49812]	Loss: 0.8852	LR: 0.020000
Training Epoch: 15 [30080/49812]	Loss: 1.2797	LR: 0.020000
Training Epoch: 15 [30144/49812]	Loss: 1.1360	LR: 0.020000
Training Epoch: 15 [30208/49812]	Loss: 1.2441	LR: 0.020000
Training Epoch: 15 [30272/49812]	Loss: 0.8245	LR: 0.020000
Training Epoch: 15 [30336/49812]	Loss: 0.9622	LR: 0.020000
Training Epoch: 15 [30400/49812]	Loss: 0.8171	LR: 0.020000
Training Epoch: 15 [30464/49812]	Loss: 0.7259	LR: 0.020000
Training Epoch: 15 [30528/49812]	Loss: 0.9352	LR: 0.020000
Training Epoch: 15 [30592/49812]	Loss: 0.8398	LR: 0.020000
Training Epoch: 15 [30656/49812]	Loss: 1.2512	LR: 0.020000
Training Epoch: 15 [30720/49812]	Loss: 0.9981	LR: 0.020000
Training Epoch: 15 [30784/49812]	Loss: 1.2991	LR: 0.020000
Training Epoch: 15 [30848/49812]	Loss: 0.8907	LR: 0.020000
Training Epoch: 15 [30912/49812]	Loss: 0.8366	LR: 0.020000
Training Epoch: 15 [30976/49812]	Loss: 1.2225	LR: 0.020000
Training Epoch: 15 [31040/49812]	Loss: 0.8671	LR: 0.020000
Training Epoch: 15 [31104/49812]	Loss: 1.0579	LR: 0.020000
Training Epoch: 15 [31168/49812]	Loss: 1.2787	LR: 0.020000
Training Epoch: 15 [31232/49812]	Loss: 0.8640	LR: 0.020000
Training Epoch: 15 [31296/49812]	Loss: 0.8551	LR: 0.020000
Training Epoch: 15 [31360/49812]	Loss: 0.8015	LR: 0.020000
Training Epoch: 15 [31424/49812]	Loss: 1.2142	LR: 0.020000
Training Epoch: 15 [31488/49812]	Loss: 1.0916	LR: 0.020000
Training Epoch: 15 [31552/49812]	Loss: 1.1784	LR: 0.020000
Training Epoch: 15 [31616/49812]	Loss: 0.9049	LR: 0.020000
Training Epoch: 15 [31680/49812]	Loss: 1.3703	LR: 0.020000
Training Epoch: 15 [31744/49812]	Loss: 0.9210	LR: 0.020000
Training Epoch: 15 [31808/49812]	Loss: 0.8396	LR: 0.020000
Training Epoch: 15 [31872/49812]	Loss: 1.0012	LR: 0.020000
Training Epoch: 15 [31936/49812]	Loss: 1.0675	LR: 0.020000
Training Epoch: 15 [32000/49812]	Loss: 0.7627	LR: 0.020000
Training Epoch: 15 [32064/49812]	Loss: 1.0651	LR: 0.020000
Training Epoch: 15 [32128/49812]	Loss: 0.7888	LR: 0.020000
Training Epoch: 15 [32192/49812]	Loss: 1.1963	LR: 0.020000
Training Epoch: 15 [32256/49812]	Loss: 0.8756	LR: 0.020000
Training Epoch: 15 [32320/49812]	Loss: 0.7983	LR: 0.020000
Training Epoch: 15 [32384/49812]	Loss: 0.9613	LR: 0.020000
Training Epoch: 15 [32448/49812]	Loss: 0.9279	LR: 0.020000
Training Epoch: 15 [32512/49812]	Loss: 0.9949	LR: 0.020000
Training Epoch: 15 [32576/49812]	Loss: 1.2478	LR: 0.020000
Training Epoch: 15 [32640/49812]	Loss: 1.1524	LR: 0.020000
Training Epoch: 15 [32704/49812]	Loss: 1.0663	LR: 0.020000
Training Epoch: 15 [32768/49812]	Loss: 0.7329	LR: 0.020000
Training Epoch: 15 [32832/49812]	Loss: 0.9140	LR: 0.020000
Training Epoch: 15 [32896/49812]	Loss: 0.8832	LR: 0.020000
Training Epoch: 15 [32960/49812]	Loss: 0.7438	LR: 0.020000
Training Epoch: 15 [33024/49812]	Loss: 0.7781	LR: 0.020000
Training Epoch: 15 [33088/49812]	Loss: 0.9822	LR: 0.020000
Training Epoch: 15 [33152/49812]	Loss: 0.8377	LR: 0.020000
Training Epoch: 15 [33216/49812]	Loss: 1.0053	LR: 0.020000
Training Epoch: 15 [33280/49812]	Loss: 0.9502	LR: 0.020000
Training Epoch: 15 [33344/49812]	Loss: 0.9514	LR: 0.020000
Training Epoch: 15 [33408/49812]	Loss: 0.8501	LR: 0.020000
Training Epoch: 15 [33472/49812]	Loss: 1.2166	LR: 0.020000
Training Epoch: 15 [33536/49812]	Loss: 1.0197	LR: 0.020000
Training Epoch: 15 [33600/49812]	Loss: 1.0504	LR: 0.020000
Training Epoch: 15 [33664/49812]	Loss: 0.7886	LR: 0.020000
Training Epoch: 15 [33728/49812]	Loss: 1.1543	LR: 0.020000
Training Epoch: 15 [33792/49812]	Loss: 0.7567	LR: 0.020000
Training Epoch: 15 [33856/49812]	Loss: 1.0304	LR: 0.020000
Training Epoch: 15 [33920/49812]	Loss: 0.6711	LR: 0.020000
Training Epoch: 15 [33984/49812]	Loss: 0.8210	LR: 0.020000
Training Epoch: 15 [34048/49812]	Loss: 1.0191	LR: 0.020000
Training Epoch: 15 [34112/49812]	Loss: 1.0957	LR: 0.020000
Training Epoch: 15 [34176/49812]	Loss: 0.7599	LR: 0.020000
Training Epoch: 15 [34240/49812]	Loss: 0.8325	LR: 0.020000
Training Epoch: 15 [34304/49812]	Loss: 1.0642	LR: 0.020000
Training Epoch: 15 [34368/49812]	Loss: 0.9073	LR: 0.020000
Training Epoch: 15 [34432/49812]	Loss: 1.1848	LR: 0.020000
Training Epoch: 15 [34496/49812]	Loss: 0.9360	LR: 0.020000
Training Epoch: 15 [34560/49812]	Loss: 1.0332	LR: 0.020000
Training Epoch: 15 [34624/49812]	Loss: 0.7478	LR: 0.020000
Training Epoch: 15 [34688/49812]	Loss: 0.9727	LR: 0.020000
Training Epoch: 15 [34752/49812]	Loss: 1.0068	LR: 0.020000
Training Epoch: 15 [34816/49812]	Loss: 1.0342	LR: 0.020000
Training Epoch: 15 [34880/49812]	Loss: 0.9836	LR: 0.020000
Training Epoch: 15 [34944/49812]	Loss: 0.8203	LR: 0.020000
Training Epoch: 15 [35008/49812]	Loss: 0.8931	LR: 0.020000
Training Epoch: 15 [35072/49812]	Loss: 0.9179	LR: 0.020000
Training Epoch: 15 [35136/49812]	Loss: 1.0240	LR: 0.020000
Training Epoch: 15 [35200/49812]	Loss: 0.9551	LR: 0.020000
Training Epoch: 15 [35264/49812]	Loss: 0.9727	LR: 0.020000
Training Epoch: 15 [35328/49812]	Loss: 0.9506	LR: 0.020000
Training Epoch: 15 [35392/49812]	Loss: 0.9407	LR: 0.020000
Training Epoch: 15 [35456/49812]	Loss: 1.0007	LR: 0.020000
Training Epoch: 15 [35520/49812]	Loss: 0.7278	LR: 0.020000
Training Epoch: 15 [35584/49812]	Loss: 1.0314	LR: 0.020000
Training Epoch: 15 [35648/49812]	Loss: 1.0357	LR: 0.020000
Training Epoch: 15 [35712/49812]	Loss: 0.9038	LR: 0.020000
Training Epoch: 15 [35776/49812]	Loss: 1.0026	LR: 0.020000
Training Epoch: 15 [35840/49812]	Loss: 0.9392	LR: 0.020000
Training Epoch: 15 [35904/49812]	Loss: 0.8673	LR: 0.020000
Training Epoch: 15 [35968/49812]	Loss: 1.1404	LR: 0.020000
Training Epoch: 15 [36032/49812]	Loss: 0.9648	LR: 0.020000
Training Epoch: 15 [36096/49812]	Loss: 0.9483	LR: 0.020000
Training Epoch: 15 [36160/49812]	Loss: 0.9614	LR: 0.020000
Training Epoch: 15 [36224/49812]	Loss: 0.9581	LR: 0.020000
Training Epoch: 15 [36288/49812]	Loss: 0.7994	LR: 0.020000
Training Epoch: 15 [36352/49812]	Loss: 0.8301	LR: 0.020000
Training Epoch: 15 [36416/49812]	Loss: 0.8666	LR: 0.020000
Training Epoch: 15 [36480/49812]	Loss: 1.1246	LR: 0.020000
Training Epoch: 15 [36544/49812]	Loss: 0.9583	LR: 0.020000
Training Epoch: 15 [36608/49812]	Loss: 1.0419	LR: 0.020000
Training Epoch: 15 [36672/49812]	Loss: 0.9466	LR: 0.020000
Training Epoch: 15 [36736/49812]	Loss: 0.9027	LR: 0.020000
Training Epoch: 15 [36800/49812]	Loss: 0.9397	LR: 0.020000
Training Epoch: 15 [36864/49812]	Loss: 0.9932	LR: 0.020000
Training Epoch: 15 [36928/49812]	Loss: 0.9887	LR: 0.020000
Training Epoch: 15 [36992/49812]	Loss: 1.4323	LR: 0.020000
Training Epoch: 15 [37056/49812]	Loss: 1.1865	LR: 0.020000
Training Epoch: 15 [37120/49812]	Loss: 0.8688	LR: 0.020000
Training Epoch: 15 [37184/49812]	Loss: 1.1056	LR: 0.020000
Training Epoch: 15 [37248/49812]	Loss: 0.8634	LR: 0.020000
Training Epoch: 15 [37312/49812]	Loss: 1.1357	LR: 0.020000
Training Epoch: 15 [37376/49812]	Loss: 0.9855	LR: 0.020000
Training Epoch: 15 [37440/49812]	Loss: 1.0259	LR: 0.020000
Training Epoch: 15 [37504/49812]	Loss: 0.8932	LR: 0.020000
Training Epoch: 15 [37568/49812]	Loss: 1.0514	LR: 0.020000
Training Epoch: 15 [37632/49812]	Loss: 0.8744	LR: 0.020000
Training Epoch: 15 [37696/49812]	Loss: 0.8365	LR: 0.020000
Training Epoch: 15 [37760/49812]	Loss: 0.7765	LR: 0.020000
Training Epoch: 15 [37824/49812]	Loss: 0.8182	LR: 0.020000
Training Epoch: 15 [37888/49812]	Loss: 0.8776	LR: 0.020000
Training Epoch: 15 [37952/49812]	Loss: 0.8816	LR: 0.020000
Training Epoch: 15 [38016/49812]	Loss: 1.1125	LR: 0.020000
Training Epoch: 15 [38080/49812]	Loss: 1.0702	LR: 0.020000
Training Epoch: 15 [38144/49812]	Loss: 0.9128	LR: 0.020000
Training Epoch: 15 [38208/49812]	Loss: 0.6945	LR: 0.020000
Training Epoch: 15 [38272/49812]	Loss: 0.8822	LR: 0.020000
Training Epoch: 15 [38336/49812]	Loss: 0.9100	LR: 0.020000
Training Epoch: 15 [38400/49812]	Loss: 0.9752	LR: 0.020000
Training Epoch: 15 [38464/49812]	Loss: 1.0163	LR: 0.020000
Training Epoch: 15 [38528/49812]	Loss: 0.8325	LR: 0.020000
Training Epoch: 15 [38592/49812]	Loss: 0.9841	LR: 0.020000
Training Epoch: 15 [38656/49812]	Loss: 1.1854	LR: 0.020000
Training Epoch: 15 [38720/49812]	Loss: 1.1720	LR: 0.020000
Training Epoch: 15 [38784/49812]	Loss: 0.9417	LR: 0.020000
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Training Epoch: 15 [38912/49812]	Loss: 1.0814	LR: 0.020000
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Training Epoch: 15 [39040/49812]	Loss: 1.2332	LR: 0.020000
Training Epoch: 15 [39104/49812]	Loss: 1.3396	LR: 0.020000
Training Epoch: 15 [39168/49812]	Loss: 0.9693	LR: 0.020000
Training Epoch: 15 [39232/49812]	Loss: 0.9124	LR: 0.020000
Training Epoch: 15 [39296/49812]	Loss: 0.9711	LR: 0.020000
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Training Epoch: 15 [39424/49812]	Loss: 1.0066	LR: 0.020000
Training Epoch: 15 [39488/49812]	Loss: 0.9158	LR: 0.020000
Training Epoch: 15 [39552/49812]	Loss: 0.9813	LR: 0.020000
Training Epoch: 15 [39616/49812]	Loss: 1.0323	LR: 0.020000
Training Epoch: 15 [39680/49812]	Loss: 0.8831	LR: 0.020000
Training Epoch: 15 [39744/49812]	Loss: 1.0396	LR: 0.020000
Training Epoch: 15 [39808/49812]	Loss: 1.0324	LR: 0.020000
Training Epoch: 15 [39872/49812]	Loss: 0.9117	LR: 0.020000
Training Epoch: 15 [39936/49812]	Loss: 1.0589	LR: 0.020000
Training Epoch: 15 [40000/49812]	Loss: 0.8064	LR: 0.020000
Training Epoch: 15 [40064/49812]	Loss: 1.0411	LR: 0.020000
Training Epoch: 15 [40128/49812]	Loss: 0.9521	LR: 0.020000
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Training Epoch: 15 [40256/49812]	Loss: 1.0001	LR: 0.020000
Training Epoch: 15 [40320/49812]	Loss: 1.1183	LR: 0.020000
Training Epoch: 15 [40384/49812]	Loss: 0.8435	LR: 0.020000
Training Epoch: 15 [40448/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 15 [40512/49812]	Loss: 1.0005	LR: 0.020000
Training Epoch: 15 [40576/49812]	Loss: 0.7425	LR: 0.020000
Training Epoch: 15 [40640/49812]	Loss: 1.1153	LR: 0.020000
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Training Epoch: 15 [40832/49812]	Loss: 1.0958	LR: 0.020000
Training Epoch: 15 [40896/49812]	Loss: 0.8260	LR: 0.020000
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Training Epoch: 15 [41024/49812]	Loss: 1.2479	LR: 0.020000
Training Epoch: 15 [41088/49812]	Loss: 1.3840	LR: 0.020000
Training Epoch: 15 [41152/49812]	Loss: 0.8354	LR: 0.020000
Training Epoch: 15 [41216/49812]	Loss: 1.2573	LR: 0.020000
Training Epoch: 15 [41280/49812]	Loss: 0.9690	LR: 0.020000
Training Epoch: 15 [41344/49812]	Loss: 1.0220	LR: 0.020000
Training Epoch: 15 [41408/49812]	Loss: 0.8348	LR: 0.020000
Training Epoch: 15 [41472/49812]	Loss: 0.8245	LR: 0.020000
Training Epoch: 15 [41536/49812]	Loss: 0.9899	LR: 0.020000
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Training Epoch: 15 [41664/49812]	Loss: 0.9792	LR: 0.020000
Training Epoch: 15 [41728/49812]	Loss: 0.8319	LR: 0.020000
Training Epoch: 15 [41792/49812]	Loss: 0.7399	LR: 0.020000
Training Epoch: 15 [41856/49812]	Loss: 1.1572	LR: 0.020000
Training Epoch: 15 [41920/49812]	Loss: 0.8437	LR: 0.020000
Training Epoch: 15 [41984/49812]	Loss: 1.0425	LR: 0.020000
Training Epoch: 15 [42048/49812]	Loss: 1.1714	LR: 0.020000
Training Epoch: 15 [42112/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 15 [42176/49812]	Loss: 1.2202	LR: 0.020000
Training Epoch: 15 [42240/49812]	Loss: 0.8112	LR: 0.020000
Training Epoch: 15 [42304/49812]	Loss: 1.2067	LR: 0.020000
Training Epoch: 15 [42368/49812]	Loss: 0.9121	LR: 0.020000
Training Epoch: 15 [42432/49812]	Loss: 0.9216	LR: 0.020000
Training Epoch: 15 [42496/49812]	Loss: 0.8235	LR: 0.020000
Training Epoch: 15 [42560/49812]	Loss: 0.6259	LR: 0.020000
Training Epoch: 15 [42624/49812]	Loss: 0.9779	LR: 0.020000
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Training Epoch: 15 [42752/49812]	Loss: 0.9563	LR: 0.020000
Training Epoch: 15 [42816/49812]	Loss: 1.0306	LR: 0.020000
Training Epoch: 15 [42880/49812]	Loss: 0.9115	LR: 0.020000
Training Epoch: 15 [42944/49812]	Loss: 0.8051	LR: 0.020000
Training Epoch: 15 [43008/49812]	Loss: 0.9052	LR: 0.020000
Training Epoch: 15 [43072/49812]	Loss: 0.8477	LR: 0.020000
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Training Epoch: 15 [43200/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 15 [43264/49812]	Loss: 1.0290	LR: 0.020000
Training Epoch: 15 [43328/49812]	Loss: 0.9246	LR: 0.020000
Training Epoch: 15 [43392/49812]	Loss: 1.1354	LR: 0.020000
Training Epoch: 15 [43456/49812]	Loss: 0.7851	LR: 0.020000
Training Epoch: 15 [43520/49812]	Loss: 0.9490	LR: 0.020000
Training Epoch: 15 [43584/49812]	Loss: 0.9161	LR: 0.020000
Training Epoch: 15 [43648/49812]	Loss: 1.3232	LR: 0.020000
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Training Epoch: 15 [43904/49812]	Loss: 1.0913	LR: 0.020000
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Training Epoch: 15 [44032/49812]	Loss: 1.0407	LR: 0.020000
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Training Epoch: 15 [44224/49812]	Loss: 0.8682	LR: 0.020000
Training Epoch: 15 [44288/49812]	Loss: 0.9339	LR: 0.020000
Training Epoch: 15 [44352/49812]	Loss: 0.9116	LR: 0.020000
Training Epoch: 15 [44416/49812]	Loss: 1.2228	LR: 0.020000
Training Epoch: 15 [44480/49812]	Loss: 0.7574	LR: 0.020000
Training Epoch: 15 [44544/49812]	Loss: 0.8835	LR: 0.020000
Training Epoch: 15 [44608/49812]	Loss: 1.0009	LR: 0.020000
Training Epoch: 15 [44672/49812]	Loss: 1.1254	LR: 0.020000
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Training Epoch: 15 [49812/49812]	Loss: 0.6219	LR: 0.020000
Epoch 15 - Average Train Loss: 0.9876, Train Accuracy: 0.6870
Epoch 15 training time consumed: 265.78s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0146, Accuracy: 0.7018, Time consumed:17.27s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-15-best.pth
Training Epoch: 16 [64/49812]	Loss: 1.1176	LR: 0.020000
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Training Epoch: 16 [13120/49812]	Loss: 0.8229	LR: 0.020000
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Training Epoch: 16 [13248/49812]	Loss: 1.1224	LR: 0.020000
Training Epoch: 16 [13312/49812]	Loss: 0.9455	LR: 0.020000
Training Epoch: 16 [13376/49812]	Loss: 0.8957	LR: 0.020000
Training Epoch: 16 [13440/49812]	Loss: 0.8703	LR: 0.020000
Training Epoch: 16 [13504/49812]	Loss: 0.7705	LR: 0.020000
Training Epoch: 16 [13568/49812]	Loss: 0.6272	LR: 0.020000
Training Epoch: 16 [13632/49812]	Loss: 1.0326	LR: 0.020000
Training Epoch: 16 [13696/49812]	Loss: 0.8685	LR: 0.020000
Training Epoch: 16 [13760/49812]	Loss: 0.9059	LR: 0.020000
Training Epoch: 16 [13824/49812]	Loss: 1.0324	LR: 0.020000
Training Epoch: 16 [13888/49812]	Loss: 0.9050	LR: 0.020000
Training Epoch: 16 [13952/49812]	Loss: 0.7928	LR: 0.020000
Training Epoch: 16 [14016/49812]	Loss: 0.9664	LR: 0.020000
Training Epoch: 16 [14080/49812]	Loss: 1.2828	LR: 0.020000
Training Epoch: 16 [14144/49812]	Loss: 0.7481	LR: 0.020000
Training Epoch: 16 [14208/49812]	Loss: 1.0441	LR: 0.020000
Training Epoch: 16 [14272/49812]	Loss: 0.7879	LR: 0.020000
Training Epoch: 16 [14336/49812]	Loss: 0.8668	LR: 0.020000
Training Epoch: 16 [14400/49812]	Loss: 1.1496	LR: 0.020000
Training Epoch: 16 [14464/49812]	Loss: 0.7649	LR: 0.020000
Training Epoch: 16 [14528/49812]	Loss: 0.7702	LR: 0.020000
Training Epoch: 16 [14592/49812]	Loss: 0.8577	LR: 0.020000
Training Epoch: 16 [14656/49812]	Loss: 0.9804	LR: 0.020000
Training Epoch: 16 [14720/49812]	Loss: 0.9079	LR: 0.020000
Training Epoch: 16 [14784/49812]	Loss: 0.7109	LR: 0.020000
Training Epoch: 16 [14848/49812]	Loss: 1.1102	LR: 0.020000
Training Epoch: 16 [14912/49812]	Loss: 0.9853	LR: 0.020000
Training Epoch: 16 [14976/49812]	Loss: 0.7749	LR: 0.020000
Training Epoch: 16 [15040/49812]	Loss: 0.6455	LR: 0.020000
Training Epoch: 16 [15104/49812]	Loss: 0.9837	LR: 0.020000
Training Epoch: 16 [15168/49812]	Loss: 0.8193	LR: 0.020000
Training Epoch: 16 [15232/49812]	Loss: 0.8220	LR: 0.020000
Training Epoch: 16 [15296/49812]	Loss: 0.7374	LR: 0.020000
Training Epoch: 16 [15360/49812]	Loss: 0.8315	LR: 0.020000
Training Epoch: 16 [15424/49812]	Loss: 0.9488	LR: 0.020000
Training Epoch: 16 [15488/49812]	Loss: 0.9756	LR: 0.020000
Training Epoch: 16 [15552/49812]	Loss: 1.0763	LR: 0.020000
Training Epoch: 16 [15616/49812]	Loss: 0.8892	LR: 0.020000
Training Epoch: 16 [15680/49812]	Loss: 0.8272	LR: 0.020000
Training Epoch: 16 [15744/49812]	Loss: 0.9208	LR: 0.020000
Training Epoch: 16 [15808/49812]	Loss: 0.9902	LR: 0.020000
Training Epoch: 16 [15872/49812]	Loss: 0.6684	LR: 0.020000
Training Epoch: 16 [15936/49812]	Loss: 0.6369	LR: 0.020000
Training Epoch: 16 [16000/49812]	Loss: 0.8349	LR: 0.020000
Training Epoch: 16 [16064/49812]	Loss: 0.9016	LR: 0.020000
Training Epoch: 16 [16128/49812]	Loss: 0.7507	LR: 0.020000
Training Epoch: 16 [16192/49812]	Loss: 0.9735	LR: 0.020000
Training Epoch: 16 [16256/49812]	Loss: 0.7652	LR: 0.020000
Training Epoch: 16 [16320/49812]	Loss: 0.9937	LR: 0.020000
Training Epoch: 16 [16384/49812]	Loss: 0.9904	LR: 0.020000
Training Epoch: 16 [16448/49812]	Loss: 0.8347	LR: 0.020000
Training Epoch: 16 [16512/49812]	Loss: 1.0610	LR: 0.020000
Training Epoch: 16 [16576/49812]	Loss: 0.7426	LR: 0.020000
Training Epoch: 16 [16640/49812]	Loss: 0.9046	LR: 0.020000
Training Epoch: 16 [16704/49812]	Loss: 0.9409	LR: 0.020000
Training Epoch: 16 [16768/49812]	Loss: 0.9769	LR: 0.020000
Training Epoch: 16 [16832/49812]	Loss: 0.7750	LR: 0.020000
Training Epoch: 16 [16896/49812]	Loss: 1.0299	LR: 0.020000
Training Epoch: 16 [16960/49812]	Loss: 0.7495	LR: 0.020000
Training Epoch: 16 [17024/49812]	Loss: 0.8710	LR: 0.020000
Training Epoch: 16 [17088/49812]	Loss: 0.9365	LR: 0.020000
Training Epoch: 16 [17152/49812]	Loss: 0.9207	LR: 0.020000
Training Epoch: 16 [17216/49812]	Loss: 1.0362	LR: 0.020000
Training Epoch: 16 [17280/49812]	Loss: 1.0374	LR: 0.020000
Training Epoch: 16 [17344/49812]	Loss: 0.7959	LR: 0.020000
Training Epoch: 16 [17408/49812]	Loss: 0.9611	LR: 0.020000
Training Epoch: 16 [17472/49812]	Loss: 0.8877	LR: 0.020000
Training Epoch: 16 [17536/49812]	Loss: 0.9344	LR: 0.020000
Training Epoch: 16 [17600/49812]	Loss: 0.9591	LR: 0.020000
Training Epoch: 16 [17664/49812]	Loss: 0.9209	LR: 0.020000
Training Epoch: 16 [17728/49812]	Loss: 1.0146	LR: 0.020000
Training Epoch: 16 [17792/49812]	Loss: 0.9078	LR: 0.020000
Training Epoch: 16 [17856/49812]	Loss: 0.6947	LR: 0.020000
Training Epoch: 16 [17920/49812]	Loss: 0.8717	LR: 0.020000
Training Epoch: 16 [17984/49812]	Loss: 1.1588	LR: 0.020000
Training Epoch: 16 [18048/49812]	Loss: 0.8404	LR: 0.020000
Training Epoch: 16 [18112/49812]	Loss: 0.9220	LR: 0.020000
Training Epoch: 16 [18176/49812]	Loss: 0.8987	LR: 0.020000
Training Epoch: 16 [18240/49812]	Loss: 0.9700	LR: 0.020000
Training Epoch: 16 [18304/49812]	Loss: 0.8241	LR: 0.020000
Training Epoch: 16 [18368/49812]	Loss: 0.8414	LR: 0.020000
Training Epoch: 16 [18432/49812]	Loss: 0.8105	LR: 0.020000
Training Epoch: 16 [18496/49812]	Loss: 1.0187	LR: 0.020000
Training Epoch: 16 [18560/49812]	Loss: 1.0447	LR: 0.020000
Training Epoch: 16 [18624/49812]	Loss: 1.1095	LR: 0.020000
Training Epoch: 16 [18688/49812]	Loss: 0.7450	LR: 0.020000
Training Epoch: 16 [18752/49812]	Loss: 0.9564	LR: 0.020000
Training Epoch: 16 [18816/49812]	Loss: 1.0772	LR: 0.020000
Training Epoch: 16 [18880/49812]	Loss: 0.8196	LR: 0.020000
Training Epoch: 16 [18944/49812]	Loss: 0.9612	LR: 0.020000
Training Epoch: 16 [19008/49812]	Loss: 0.8021	LR: 0.020000
Training Epoch: 16 [19072/49812]	Loss: 0.6840	LR: 0.020000
Training Epoch: 16 [19136/49812]	Loss: 0.7930	LR: 0.020000
Training Epoch: 16 [19200/49812]	Loss: 0.7013	LR: 0.020000
Training Epoch: 16 [19264/49812]	Loss: 1.0009	LR: 0.020000
Training Epoch: 16 [19328/49812]	Loss: 0.8049	LR: 0.020000
Training Epoch: 16 [19392/49812]	Loss: 1.1332	LR: 0.020000
Training Epoch: 16 [19456/49812]	Loss: 0.8526	LR: 0.020000
Training Epoch: 16 [19520/49812]	Loss: 0.9320	LR: 0.020000
Training Epoch: 16 [19584/49812]	Loss: 0.6416	LR: 0.020000
Training Epoch: 16 [19648/49812]	Loss: 1.0168	LR: 0.020000
Training Epoch: 16 [19712/49812]	Loss: 1.3024	LR: 0.020000
Training Epoch: 16 [19776/49812]	Loss: 1.1304	LR: 0.020000
Training Epoch: 16 [19840/49812]	Loss: 1.1945	LR: 0.020000
Training Epoch: 16 [19904/49812]	Loss: 0.8233	LR: 0.020000
Training Epoch: 16 [19968/49812]	Loss: 0.9890	LR: 0.020000
Training Epoch: 16 [20032/49812]	Loss: 1.1460	LR: 0.020000
Training Epoch: 16 [20096/49812]	Loss: 0.9767	LR: 0.020000
Training Epoch: 16 [20160/49812]	Loss: 0.8375	LR: 0.020000
Training Epoch: 16 [20224/49812]	Loss: 0.7949	LR: 0.020000
Training Epoch: 16 [20288/49812]	Loss: 0.8703	LR: 0.020000
Training Epoch: 16 [20352/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 16 [20416/49812]	Loss: 0.8971	LR: 0.020000
Training Epoch: 16 [20480/49812]	Loss: 0.9398	LR: 0.020000
Training Epoch: 16 [20544/49812]	Loss: 1.0549	LR: 0.020000
Training Epoch: 16 [20608/49812]	Loss: 0.8101	LR: 0.020000
Training Epoch: 16 [20672/49812]	Loss: 0.9603	LR: 0.020000
Training Epoch: 16 [20736/49812]	Loss: 1.0564	LR: 0.020000
Training Epoch: 16 [20800/49812]	Loss: 0.7058	LR: 0.020000
Training Epoch: 16 [20864/49812]	Loss: 0.8558	LR: 0.020000
Training Epoch: 16 [20928/49812]	Loss: 0.8407	LR: 0.020000
Training Epoch: 16 [20992/49812]	Loss: 1.0832	LR: 0.020000
Training Epoch: 16 [21056/49812]	Loss: 1.1189	LR: 0.020000
Training Epoch: 16 [21120/49812]	Loss: 0.7373	LR: 0.020000
Training Epoch: 16 [21184/49812]	Loss: 1.0094	LR: 0.020000
Training Epoch: 16 [21248/49812]	Loss: 0.8282	LR: 0.020000
Training Epoch: 16 [21312/49812]	Loss: 0.7006	LR: 0.020000
Training Epoch: 16 [21376/49812]	Loss: 1.1266	LR: 0.020000
Training Epoch: 16 [21440/49812]	Loss: 0.9698	LR: 0.020000
Training Epoch: 16 [21504/49812]	Loss: 0.8524	LR: 0.020000
Training Epoch: 16 [21568/49812]	Loss: 0.9482	LR: 0.020000
Training Epoch: 16 [21632/49812]	Loss: 0.9125	LR: 0.020000
Training Epoch: 16 [21696/49812]	Loss: 0.9130	LR: 0.020000
Training Epoch: 16 [21760/49812]	Loss: 0.7106	LR: 0.020000
Training Epoch: 16 [21824/49812]	Loss: 0.7067	LR: 0.020000
Training Epoch: 16 [21888/49812]	Loss: 0.9244	LR: 0.020000
Training Epoch: 16 [21952/49812]	Loss: 0.8017	LR: 0.020000
Training Epoch: 16 [22016/49812]	Loss: 1.0880	LR: 0.020000
Training Epoch: 16 [22080/49812]	Loss: 0.6994	LR: 0.020000
Training Epoch: 16 [22144/49812]	Loss: 0.9816	LR: 0.020000
Training Epoch: 16 [22208/49812]	Loss: 0.9241	LR: 0.020000
Training Epoch: 16 [22272/49812]	Loss: 0.9950	LR: 0.020000
Training Epoch: 16 [22336/49812]	Loss: 0.8695	LR: 0.020000
Training Epoch: 16 [22400/49812]	Loss: 1.1144	LR: 0.020000
Training Epoch: 16 [22464/49812]	Loss: 0.8293	LR: 0.020000
Training Epoch: 16 [22528/49812]	Loss: 0.8191	LR: 0.020000
Training Epoch: 16 [22592/49812]	Loss: 1.0198	LR: 0.020000
Training Epoch: 16 [22656/49812]	Loss: 1.0197	LR: 0.020000
Training Epoch: 16 [22720/49812]	Loss: 0.6955	LR: 0.020000
Training Epoch: 16 [22784/49812]	Loss: 0.8709	LR: 0.020000
Training Epoch: 16 [22848/49812]	Loss: 0.9633	LR: 0.020000
Training Epoch: 16 [22912/49812]	Loss: 1.3002	LR: 0.020000
Training Epoch: 16 [22976/49812]	Loss: 0.9450	LR: 0.020000
Training Epoch: 16 [23040/49812]	Loss: 0.5513	LR: 0.020000
Training Epoch: 16 [23104/49812]	Loss: 1.1446	LR: 0.020000
Training Epoch: 16 [23168/49812]	Loss: 1.0085	LR: 0.020000
Training Epoch: 16 [23232/49812]	Loss: 0.9107	LR: 0.020000
Training Epoch: 16 [23296/49812]	Loss: 0.9603	LR: 0.020000
Training Epoch: 16 [23360/49812]	Loss: 1.0655	LR: 0.020000
Training Epoch: 16 [23424/49812]	Loss: 0.7874	LR: 0.020000
Training Epoch: 16 [23488/49812]	Loss: 0.7957	LR: 0.020000
Training Epoch: 16 [23552/49812]	Loss: 0.9067	LR: 0.020000
Training Epoch: 16 [23616/49812]	Loss: 0.9699	LR: 0.020000
Training Epoch: 16 [23680/49812]	Loss: 0.8384	LR: 0.020000
Training Epoch: 16 [23744/49812]	Loss: 0.9756	LR: 0.020000
Training Epoch: 16 [23808/49812]	Loss: 0.8340	LR: 0.020000
Training Epoch: 16 [23872/49812]	Loss: 1.0763	LR: 0.020000
Training Epoch: 16 [23936/49812]	Loss: 0.8951	LR: 0.020000
Training Epoch: 16 [24000/49812]	Loss: 0.8145	LR: 0.020000
Training Epoch: 16 [24064/49812]	Loss: 1.1054	LR: 0.020000
Training Epoch: 16 [24128/49812]	Loss: 0.8634	LR: 0.020000
Training Epoch: 16 [24192/49812]	Loss: 0.8362	LR: 0.020000
Training Epoch: 16 [24256/49812]	Loss: 0.7430	LR: 0.020000
Training Epoch: 16 [24320/49812]	Loss: 0.8886	LR: 0.020000
Training Epoch: 16 [24384/49812]	Loss: 0.8541	LR: 0.020000
Training Epoch: 16 [24448/49812]	Loss: 0.7531	LR: 0.020000
Training Epoch: 16 [24512/49812]	Loss: 0.9053	LR: 0.020000
Training Epoch: 16 [24576/49812]	Loss: 0.9107	LR: 0.020000
Training Epoch: 16 [24640/49812]	Loss: 1.0181	LR: 0.020000
Training Epoch: 16 [24704/49812]	Loss: 1.2263	LR: 0.020000
Training Epoch: 16 [24768/49812]	Loss: 0.8053	LR: 0.020000
Training Epoch: 16 [24832/49812]	Loss: 1.1187	LR: 0.020000
Training Epoch: 16 [24896/49812]	Loss: 1.0589	LR: 0.020000
Training Epoch: 16 [24960/49812]	Loss: 1.0322	LR: 0.020000
Training Epoch: 16 [25024/49812]	Loss: 0.9316	LR: 0.020000
Training Epoch: 16 [25088/49812]	Loss: 0.8944	LR: 0.020000
Training Epoch: 16 [25152/49812]	Loss: 0.7312	LR: 0.020000
Training Epoch: 16 [25216/49812]	Loss: 0.8669	LR: 0.020000
Training Epoch: 16 [25280/49812]	Loss: 0.9297	LR: 0.020000
Training Epoch: 16 [25344/49812]	Loss: 0.9547	LR: 0.020000
Training Epoch: 16 [25408/49812]	Loss: 0.7989	LR: 0.020000
Training Epoch: 16 [25472/49812]	Loss: 1.0219	LR: 0.020000
Training Epoch: 16 [25536/49812]	Loss: 0.9689	LR: 0.020000
Training Epoch: 16 [25600/49812]	Loss: 0.9752	LR: 0.020000
Training Epoch: 16 [25664/49812]	Loss: 0.7540	LR: 0.020000
Training Epoch: 16 [25728/49812]	Loss: 1.0867	LR: 0.020000
Training Epoch: 16 [25792/49812]	Loss: 0.7927	LR: 0.020000
Training Epoch: 16 [25856/49812]	Loss: 0.9334	LR: 0.020000
Training Epoch: 16 [25920/49812]	Loss: 0.8565	LR: 0.020000
Training Epoch: 16 [25984/49812]	Loss: 0.8447	LR: 0.020000
Training Epoch: 16 [26048/49812]	Loss: 1.0072	LR: 0.020000
Training Epoch: 16 [26112/49812]	Loss: 0.8294	LR: 0.020000
Training Epoch: 16 [26176/49812]	Loss: 0.8962	LR: 0.020000
Training Epoch: 16 [26240/49812]	Loss: 1.0945	LR: 0.020000
Training Epoch: 16 [26304/49812]	Loss: 1.0238	LR: 0.020000
Training Epoch: 16 [26368/49812]	Loss: 0.7475	LR: 0.020000
Training Epoch: 16 [26432/49812]	Loss: 1.2848	LR: 0.020000
Training Epoch: 16 [26496/49812]	Loss: 0.8312	LR: 0.020000
Training Epoch: 16 [26560/49812]	Loss: 0.7142	LR: 0.020000
Training Epoch: 16 [26624/49812]	Loss: 0.8260	LR: 0.020000
Training Epoch: 16 [26688/49812]	Loss: 0.6614	LR: 0.020000
Training Epoch: 16 [26752/49812]	Loss: 1.0788	LR: 0.020000
Training Epoch: 16 [26816/49812]	Loss: 0.9310	LR: 0.020000
Training Epoch: 16 [26880/49812]	Loss: 0.8899	LR: 0.020000
Training Epoch: 16 [26944/49812]	Loss: 0.9210	LR: 0.020000
Training Epoch: 16 [27008/49812]	Loss: 0.8451	LR: 0.020000
Training Epoch: 16 [27072/49812]	Loss: 1.0736	LR: 0.020000
Training Epoch: 16 [27136/49812]	Loss: 1.0822	LR: 0.020000
Training Epoch: 16 [27200/49812]	Loss: 0.6979	LR: 0.020000
Training Epoch: 16 [27264/49812]	Loss: 0.9153	LR: 0.020000
Training Epoch: 16 [27328/49812]	Loss: 0.7206	LR: 0.020000
Training Epoch: 16 [27392/49812]	Loss: 0.8994	LR: 0.020000
Training Epoch: 16 [27456/49812]	Loss: 0.7867	LR: 0.020000
Training Epoch: 16 [27520/49812]	Loss: 0.9173	LR: 0.020000
Training Epoch: 16 [27584/49812]	Loss: 0.8366	LR: 0.020000
Training Epoch: 16 [27648/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 16 [27712/49812]	Loss: 0.8787	LR: 0.020000
Training Epoch: 16 [27776/49812]	Loss: 0.6780	LR: 0.020000
Training Epoch: 16 [27840/49812]	Loss: 0.9429	LR: 0.020000
Training Epoch: 16 [27904/49812]	Loss: 1.4093	LR: 0.020000
Training Epoch: 16 [27968/49812]	Loss: 0.8939	LR: 0.020000
Training Epoch: 16 [28032/49812]	Loss: 0.9110	LR: 0.020000
Training Epoch: 16 [28096/49812]	Loss: 0.7736	LR: 0.020000
Training Epoch: 16 [28160/49812]	Loss: 1.0064	LR: 0.020000
Training Epoch: 16 [28224/49812]	Loss: 0.7971	LR: 0.020000
Training Epoch: 16 [28288/49812]	Loss: 0.9900	LR: 0.020000
Training Epoch: 16 [28352/49812]	Loss: 0.8248	LR: 0.020000
Training Epoch: 16 [28416/49812]	Loss: 1.2521	LR: 0.020000
Training Epoch: 16 [28480/49812]	Loss: 1.0602	LR: 0.020000
Training Epoch: 16 [28544/49812]	Loss: 1.0933	LR: 0.020000
Training Epoch: 16 [28608/49812]	Loss: 0.8352	LR: 0.020000
Training Epoch: 16 [28672/49812]	Loss: 1.0506	LR: 0.020000
Training Epoch: 16 [28736/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 16 [28800/49812]	Loss: 0.8472	LR: 0.020000
Training Epoch: 16 [28864/49812]	Loss: 0.7240	LR: 0.020000
Training Epoch: 16 [28928/49812]	Loss: 1.0500	LR: 0.020000
Training Epoch: 16 [28992/49812]	Loss: 0.9140	LR: 0.020000
Training Epoch: 16 [29056/49812]	Loss: 0.9858	LR: 0.020000
Training Epoch: 16 [29120/49812]	Loss: 1.3875	LR: 0.020000
Training Epoch: 16 [29184/49812]	Loss: 0.9199	LR: 0.020000
Training Epoch: 16 [29248/49812]	Loss: 1.0247	LR: 0.020000
Training Epoch: 16 [29312/49812]	Loss: 0.6705	LR: 0.020000
Training Epoch: 16 [29376/49812]	Loss: 0.8158	LR: 0.020000
Training Epoch: 16 [29440/49812]	Loss: 0.9851	LR: 0.020000
Training Epoch: 16 [29504/49812]	Loss: 0.9789	LR: 0.020000
Training Epoch: 16 [29568/49812]	Loss: 0.8326	LR: 0.020000
Training Epoch: 16 [29632/49812]	Loss: 1.1111	LR: 0.020000
Training Epoch: 16 [29696/49812]	Loss: 1.0334	LR: 0.020000
Training Epoch: 16 [29760/49812]	Loss: 0.8915	LR: 0.020000
Training Epoch: 16 [29824/49812]	Loss: 0.7333	LR: 0.020000
Training Epoch: 16 [29888/49812]	Loss: 0.7208	LR: 0.020000
Training Epoch: 16 [29952/49812]	Loss: 0.8740	LR: 0.020000
Training Epoch: 16 [30016/49812]	Loss: 0.7234	LR: 0.020000
Training Epoch: 16 [30080/49812]	Loss: 0.9201	LR: 0.020000
Training Epoch: 16 [30144/49812]	Loss: 1.0092	LR: 0.020000
Training Epoch: 16 [30208/49812]	Loss: 0.9459	LR: 0.020000
Training Epoch: 16 [30272/49812]	Loss: 1.0471	LR: 0.020000
Training Epoch: 16 [30336/49812]	Loss: 0.9102	LR: 0.020000
Training Epoch: 16 [30400/49812]	Loss: 0.8336	LR: 0.020000
Training Epoch: 16 [30464/49812]	Loss: 0.9183	LR: 0.020000
Training Epoch: 16 [30528/49812]	Loss: 0.8286	LR: 0.020000
Training Epoch: 16 [30592/49812]	Loss: 0.6814	LR: 0.020000
Training Epoch: 16 [30656/49812]	Loss: 0.7049	LR: 0.020000
Training Epoch: 16 [30720/49812]	Loss: 0.9069	LR: 0.020000
Training Epoch: 16 [30784/49812]	Loss: 1.3448	LR: 0.020000
Training Epoch: 16 [30848/49812]	Loss: 1.0374	LR: 0.020000
Training Epoch: 16 [30912/49812]	Loss: 0.9493	LR: 0.020000
Training Epoch: 16 [30976/49812]	Loss: 1.0167	LR: 0.020000
Training Epoch: 16 [31040/49812]	Loss: 1.1149	LR: 0.020000
Training Epoch: 16 [31104/49812]	Loss: 0.8628	LR: 0.020000
Training Epoch: 16 [31168/49812]	Loss: 1.2210	LR: 0.020000
Training Epoch: 16 [31232/49812]	Loss: 0.9560	LR: 0.020000
Training Epoch: 16 [31296/49812]	Loss: 0.8408	LR: 0.020000
Training Epoch: 16 [31360/49812]	Loss: 1.0167	LR: 0.020000
Training Epoch: 16 [31424/49812]	Loss: 0.7570	LR: 0.020000
Training Epoch: 16 [31488/49812]	Loss: 0.6956	LR: 0.020000
Training Epoch: 16 [31552/49812]	Loss: 0.7002	LR: 0.020000
Training Epoch: 16 [31616/49812]	Loss: 0.6424	LR: 0.020000
Training Epoch: 16 [31680/49812]	Loss: 1.0335	LR: 0.020000
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Training Epoch: 16 [49812/49812]	Loss: 1.0497	LR: 0.020000
Epoch 16 - Average Train Loss: 0.9107, Train Accuracy: 0.7073
Epoch 16 training time consumed: 255.96s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0146, Accuracy: 0.7040, Time consumed:16.77s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-16-best.pth
Training Epoch: 17 [64/49812]	Loss: 0.6545	LR: 0.020000
Training Epoch: 17 [128/49812]	Loss: 0.6892	LR: 0.020000
Training Epoch: 17 [192/49812]	Loss: 0.6281	LR: 0.020000
Training Epoch: 17 [256/49812]	Loss: 1.0320	LR: 0.020000
Training Epoch: 17 [320/49812]	Loss: 1.0603	LR: 0.020000
Training Epoch: 17 [384/49812]	Loss: 1.0549	LR: 0.020000
Training Epoch: 17 [448/49812]	Loss: 0.9264	LR: 0.020000
Training Epoch: 17 [512/49812]	Loss: 0.6857	LR: 0.020000
Training Epoch: 17 [576/49812]	Loss: 0.8286	LR: 0.020000
Training Epoch: 17 [640/49812]	Loss: 1.1012	LR: 0.020000
Training Epoch: 17 [704/49812]	Loss: 0.7833	LR: 0.020000
Training Epoch: 17 [768/49812]	Loss: 1.0285	LR: 0.020000
Training Epoch: 17 [832/49812]	Loss: 0.8738	LR: 0.020000
Training Epoch: 17 [896/49812]	Loss: 0.9042	LR: 0.020000
Training Epoch: 17 [960/49812]	Loss: 0.6426	LR: 0.020000
Training Epoch: 17 [1024/49812]	Loss: 1.0223	LR: 0.020000
Training Epoch: 17 [1088/49812]	Loss: 0.7382	LR: 0.020000
Training Epoch: 17 [1152/49812]	Loss: 0.8342	LR: 0.020000
Training Epoch: 17 [1216/49812]	Loss: 0.8542	LR: 0.020000
Training Epoch: 17 [1280/49812]	Loss: 0.7088	LR: 0.020000
Training Epoch: 17 [1344/49812]	Loss: 0.8690	LR: 0.020000
Training Epoch: 17 [1408/49812]	Loss: 1.0171	LR: 0.020000
Training Epoch: 17 [1472/49812]	Loss: 0.9120	LR: 0.020000
Training Epoch: 17 [1536/49812]	Loss: 0.8962	LR: 0.020000
Training Epoch: 17 [1600/49812]	Loss: 0.8646	LR: 0.020000
Training Epoch: 17 [1664/49812]	Loss: 0.8275	LR: 0.020000
Training Epoch: 17 [1728/49812]	Loss: 0.9149	LR: 0.020000
Training Epoch: 17 [1792/49812]	Loss: 0.7766	LR: 0.020000
Training Epoch: 17 [1856/49812]	Loss: 0.7159	LR: 0.020000
Training Epoch: 17 [1920/49812]	Loss: 0.8887	LR: 0.020000
Training Epoch: 17 [1984/49812]	Loss: 0.9948	LR: 0.020000
Training Epoch: 17 [2048/49812]	Loss: 1.0568	LR: 0.020000
Training Epoch: 17 [2112/49812]	Loss: 0.8179	LR: 0.020000
Training Epoch: 17 [2176/49812]	Loss: 0.6722	LR: 0.020000
Training Epoch: 17 [2240/49812]	Loss: 0.8557	LR: 0.020000
Training Epoch: 17 [2304/49812]	Loss: 0.7837	LR: 0.020000
Training Epoch: 17 [2368/49812]	Loss: 1.0034	LR: 0.020000
Training Epoch: 17 [2432/49812]	Loss: 0.9153	LR: 0.020000
Training Epoch: 17 [2496/49812]	Loss: 0.7644	LR: 0.020000
Training Epoch: 17 [2560/49812]	Loss: 0.7925	LR: 0.020000
Training Epoch: 17 [2624/49812]	Loss: 0.9590	LR: 0.020000
Training Epoch: 17 [2688/49812]	Loss: 0.7853	LR: 0.020000
Training Epoch: 17 [2752/49812]	Loss: 0.8567	LR: 0.020000
Training Epoch: 17 [2816/49812]	Loss: 1.0110	LR: 0.020000
Training Epoch: 17 [2880/49812]	Loss: 0.6285	LR: 0.020000
Training Epoch: 17 [2944/49812]	Loss: 1.1680	LR: 0.020000
Training Epoch: 17 [3008/49812]	Loss: 0.9897	LR: 0.020000
Training Epoch: 17 [3072/49812]	Loss: 1.0853	LR: 0.020000
Training Epoch: 17 [3136/49812]	Loss: 1.1753	LR: 0.020000
Training Epoch: 17 [3200/49812]	Loss: 0.9653	LR: 0.020000
Training Epoch: 17 [3264/49812]	Loss: 0.9767	LR: 0.020000
Training Epoch: 17 [3328/49812]	Loss: 0.7737	LR: 0.020000
Training Epoch: 17 [3392/49812]	Loss: 0.8931	LR: 0.020000
Training Epoch: 17 [3456/49812]	Loss: 0.8767	LR: 0.020000
Training Epoch: 17 [3520/49812]	Loss: 1.0993	LR: 0.020000
Training Epoch: 17 [3584/49812]	Loss: 1.2721	LR: 0.020000
Training Epoch: 17 [3648/49812]	Loss: 0.9755	LR: 0.020000
Training Epoch: 17 [3712/49812]	Loss: 0.9446	LR: 0.020000
Training Epoch: 17 [3776/49812]	Loss: 0.9055	LR: 0.020000
Training Epoch: 17 [3840/49812]	Loss: 0.9365	LR: 0.020000
Training Epoch: 17 [3904/49812]	Loss: 1.1213	LR: 0.020000
Training Epoch: 17 [3968/49812]	Loss: 0.9939	LR: 0.020000
Training Epoch: 17 [4032/49812]	Loss: 0.7742	LR: 0.020000
Training Epoch: 17 [4096/49812]	Loss: 0.8738	LR: 0.020000
Training Epoch: 17 [4160/49812]	Loss: 0.8102	LR: 0.020000
Training Epoch: 17 [4224/49812]	Loss: 0.9625	LR: 0.020000
Training Epoch: 17 [4288/49812]	Loss: 0.9086	LR: 0.020000
Training Epoch: 17 [4352/49812]	Loss: 0.8188	LR: 0.020000
Training Epoch: 17 [4416/49812]	Loss: 0.9877	LR: 0.020000
Training Epoch: 17 [4480/49812]	Loss: 0.9287	LR: 0.020000
Training Epoch: 17 [4544/49812]	Loss: 0.8740	LR: 0.020000
Training Epoch: 17 [4608/49812]	Loss: 1.1360	LR: 0.020000
Training Epoch: 17 [4672/49812]	Loss: 0.9405	LR: 0.020000
Training Epoch: 17 [4736/49812]	Loss: 0.9476	LR: 0.020000
Training Epoch: 17 [4800/49812]	Loss: 0.8230	LR: 0.020000
Training Epoch: 17 [4864/49812]	Loss: 0.8908	LR: 0.020000
Training Epoch: 17 [4928/49812]	Loss: 0.9013	LR: 0.020000
Training Epoch: 17 [4992/49812]	Loss: 0.9631	LR: 0.020000
Training Epoch: 17 [5056/49812]	Loss: 1.0440	LR: 0.020000
Training Epoch: 17 [5120/49812]	Loss: 0.6650	LR: 0.020000
Training Epoch: 17 [5184/49812]	Loss: 0.9676	LR: 0.020000
Training Epoch: 17 [5248/49812]	Loss: 1.1177	LR: 0.020000
Training Epoch: 17 [5312/49812]	Loss: 0.9764	LR: 0.020000
Training Epoch: 17 [5376/49812]	Loss: 0.6969	LR: 0.020000
Training Epoch: 17 [5440/49812]	Loss: 0.8613	LR: 0.020000
Training Epoch: 17 [5504/49812]	Loss: 1.0202	LR: 0.020000
Training Epoch: 17 [5568/49812]	Loss: 0.9813	LR: 0.020000
Training Epoch: 17 [5632/49812]	Loss: 0.7577	LR: 0.020000
Training Epoch: 17 [5696/49812]	Loss: 0.6329	LR: 0.020000
Training Epoch: 17 [5760/49812]	Loss: 0.9929	LR: 0.020000
Training Epoch: 17 [5824/49812]	Loss: 0.8905	LR: 0.020000
Training Epoch: 17 [5888/49812]	Loss: 0.8950	LR: 0.020000
Training Epoch: 17 [5952/49812]	Loss: 0.7914	LR: 0.020000
Training Epoch: 17 [6016/49812]	Loss: 0.7717	LR: 0.020000
Training Epoch: 17 [6080/49812]	Loss: 0.8542	LR: 0.020000
Training Epoch: 17 [6144/49812]	Loss: 0.8411	LR: 0.020000
Training Epoch: 17 [6208/49812]	Loss: 0.9931	LR: 0.020000
Training Epoch: 17 [6272/49812]	Loss: 0.7813	LR: 0.020000
Training Epoch: 17 [6336/49812]	Loss: 0.7904	LR: 0.020000
Training Epoch: 17 [6400/49812]	Loss: 0.8045	LR: 0.020000
Training Epoch: 17 [6464/49812]	Loss: 1.0199	LR: 0.020000
Training Epoch: 17 [6528/49812]	Loss: 0.9120	LR: 0.020000
Training Epoch: 17 [6592/49812]	Loss: 0.7742	LR: 0.020000
Training Epoch: 17 [6656/49812]	Loss: 0.7143	LR: 0.020000
Training Epoch: 17 [6720/49812]	Loss: 0.6311	LR: 0.020000
Training Epoch: 17 [6784/49812]	Loss: 0.9037	LR: 0.020000
Training Epoch: 17 [6848/49812]	Loss: 0.9506	LR: 0.020000
Training Epoch: 17 [6912/49812]	Loss: 0.7147	LR: 0.020000
Training Epoch: 17 [6976/49812]	Loss: 0.9963	LR: 0.020000
Training Epoch: 17 [7040/49812]	Loss: 0.8430	LR: 0.020000
Training Epoch: 17 [7104/49812]	Loss: 0.9381	LR: 0.020000
Training Epoch: 17 [7168/49812]	Loss: 0.8164	LR: 0.020000
Training Epoch: 17 [7232/49812]	Loss: 0.9102	LR: 0.020000
Training Epoch: 17 [7296/49812]	Loss: 0.9121	LR: 0.020000
Training Epoch: 17 [7360/49812]	Loss: 0.7761	LR: 0.020000
Training Epoch: 17 [7424/49812]	Loss: 0.7589	LR: 0.020000
Training Epoch: 17 [7488/49812]	Loss: 0.9386	LR: 0.020000
Training Epoch: 17 [7552/49812]	Loss: 1.1703	LR: 0.020000
Training Epoch: 17 [7616/49812]	Loss: 0.7668	LR: 0.020000
Training Epoch: 17 [7680/49812]	Loss: 0.9120	LR: 0.020000
Training Epoch: 17 [7744/49812]	Loss: 1.0738	LR: 0.020000
Training Epoch: 17 [7808/49812]	Loss: 0.8606	LR: 0.020000
Training Epoch: 17 [7872/49812]	Loss: 1.0763	LR: 0.020000
Training Epoch: 17 [7936/49812]	Loss: 1.0729	LR: 0.020000
Training Epoch: 17 [8000/49812]	Loss: 0.9851	LR: 0.020000
Training Epoch: 17 [8064/49812]	Loss: 0.6338	LR: 0.020000
Training Epoch: 17 [8128/49812]	Loss: 0.7638	LR: 0.020000
Training Epoch: 17 [8192/49812]	Loss: 0.5905	LR: 0.020000
Training Epoch: 17 [8256/49812]	Loss: 0.6474	LR: 0.020000
Training Epoch: 17 [8320/49812]	Loss: 1.0887	LR: 0.020000
Training Epoch: 17 [8384/49812]	Loss: 1.0769	LR: 0.020000
Training Epoch: 17 [8448/49812]	Loss: 1.1591	LR: 0.020000
Training Epoch: 17 [8512/49812]	Loss: 0.7013	LR: 0.020000
Training Epoch: 17 [8576/49812]	Loss: 0.7527	LR: 0.020000
Training Epoch: 17 [8640/49812]	Loss: 0.8189	LR: 0.020000
Training Epoch: 17 [8704/49812]	Loss: 1.1505	LR: 0.020000
Training Epoch: 17 [8768/49812]	Loss: 0.6915	LR: 0.020000
Training Epoch: 17 [8832/49812]	Loss: 0.9552	LR: 0.020000
Training Epoch: 17 [8896/49812]	Loss: 0.8959	LR: 0.020000
Training Epoch: 17 [8960/49812]	Loss: 0.9015	LR: 0.020000
Training Epoch: 17 [9024/49812]	Loss: 1.1717	LR: 0.020000
Training Epoch: 17 [9088/49812]	Loss: 0.9057	LR: 0.020000
Training Epoch: 17 [9152/49812]	Loss: 0.6431	LR: 0.020000
Training Epoch: 17 [9216/49812]	Loss: 0.8745	LR: 0.020000
Training Epoch: 17 [9280/49812]	Loss: 0.8909	LR: 0.020000
Training Epoch: 17 [9344/49812]	Loss: 0.8015	LR: 0.020000
Training Epoch: 17 [9408/49812]	Loss: 0.9488	LR: 0.020000
Training Epoch: 17 [9472/49812]	Loss: 0.7647	LR: 0.020000
Training Epoch: 17 [9536/49812]	Loss: 0.8788	LR: 0.020000
Training Epoch: 17 [9600/49812]	Loss: 1.1121	LR: 0.020000
Training Epoch: 17 [9664/49812]	Loss: 0.9249	LR: 0.020000
Training Epoch: 17 [9728/49812]	Loss: 0.9226	LR: 0.020000
Training Epoch: 17 [9792/49812]	Loss: 0.8647	LR: 0.020000
Training Epoch: 17 [9856/49812]	Loss: 0.9135	LR: 0.020000
Training Epoch: 17 [9920/49812]	Loss: 0.6038	LR: 0.020000
Training Epoch: 17 [9984/49812]	Loss: 0.6937	LR: 0.020000
Training Epoch: 17 [10048/49812]	Loss: 0.5873	LR: 0.020000
Training Epoch: 17 [10112/49812]	Loss: 0.7151	LR: 0.020000
Training Epoch: 17 [10176/49812]	Loss: 0.7984	LR: 0.020000
Training Epoch: 17 [10240/49812]	Loss: 0.7823	LR: 0.020000
Training Epoch: 17 [10304/49812]	Loss: 0.8624	LR: 0.020000
Training Epoch: 17 [10368/49812]	Loss: 0.8883	LR: 0.020000
Training Epoch: 17 [10432/49812]	Loss: 0.9382	LR: 0.020000
Training Epoch: 17 [10496/49812]	Loss: 0.9958	LR: 0.020000
Training Epoch: 17 [10560/49812]	Loss: 0.6382	LR: 0.020000
Training Epoch: 17 [10624/49812]	Loss: 0.6856	LR: 0.020000
Training Epoch: 17 [10688/49812]	Loss: 0.7686	LR: 0.020000
Training Epoch: 17 [10752/49812]	Loss: 0.6146	LR: 0.020000
Training Epoch: 17 [10816/49812]	Loss: 0.8386	LR: 0.020000
Training Epoch: 17 [10880/49812]	Loss: 0.8037	LR: 0.020000
Training Epoch: 17 [10944/49812]	Loss: 1.1221	LR: 0.020000
Training Epoch: 17 [11008/49812]	Loss: 0.9476	LR: 0.020000
Training Epoch: 17 [11072/49812]	Loss: 0.9226	LR: 0.020000
Training Epoch: 17 [11136/49812]	Loss: 0.8484	LR: 0.020000
Training Epoch: 17 [11200/49812]	Loss: 0.7365	LR: 0.020000
Training Epoch: 17 [11264/49812]	Loss: 0.6909	LR: 0.020000
Training Epoch: 17 [11328/49812]	Loss: 1.0648	LR: 0.020000
Training Epoch: 17 [11392/49812]	Loss: 0.8336	LR: 0.020000
Training Epoch: 17 [11456/49812]	Loss: 0.8693	LR: 0.020000
Training Epoch: 17 [11520/49812]	Loss: 0.9375	LR: 0.020000
Training Epoch: 17 [11584/49812]	Loss: 0.8161	LR: 0.020000
Training Epoch: 17 [11648/49812]	Loss: 0.8006	LR: 0.020000
Training Epoch: 17 [11712/49812]	Loss: 0.8768	LR: 0.020000
Training Epoch: 17 [11776/49812]	Loss: 0.9156	LR: 0.020000
Training Epoch: 17 [11840/49812]	Loss: 0.7609	LR: 0.020000
Training Epoch: 17 [11904/49812]	Loss: 0.9722	LR: 0.020000
Training Epoch: 17 [11968/49812]	Loss: 0.7428	LR: 0.020000
Training Epoch: 17 [12032/49812]	Loss: 0.8602	LR: 0.020000
Training Epoch: 17 [12096/49812]	Loss: 0.7620	LR: 0.020000
Training Epoch: 17 [12160/49812]	Loss: 0.7706	LR: 0.020000
Training Epoch: 17 [12224/49812]	Loss: 0.8481	LR: 0.020000
Training Epoch: 17 [12288/49812]	Loss: 0.9631	LR: 0.020000
Training Epoch: 17 [12352/49812]	Loss: 0.8156	LR: 0.020000
Training Epoch: 17 [12416/49812]	Loss: 1.2885	LR: 0.020000
Training Epoch: 17 [12480/49812]	Loss: 0.9778	LR: 0.020000
Training Epoch: 17 [12544/49812]	Loss: 0.7504	LR: 0.020000
Training Epoch: 17 [12608/49812]	Loss: 0.8343	LR: 0.020000
Training Epoch: 17 [12672/49812]	Loss: 0.7932	LR: 0.020000
Training Epoch: 17 [12736/49812]	Loss: 0.9333	LR: 0.020000
Training Epoch: 17 [12800/49812]	Loss: 0.7303	LR: 0.020000
Training Epoch: 17 [12864/49812]	Loss: 0.8356	LR: 0.020000
Training Epoch: 17 [12928/49812]	Loss: 0.8504	LR: 0.020000
Training Epoch: 17 [12992/49812]	Loss: 0.6594	LR: 0.020000
Training Epoch: 17 [13056/49812]	Loss: 0.7396	LR: 0.020000
Training Epoch: 17 [13120/49812]	Loss: 0.7993	LR: 0.020000
Training Epoch: 17 [13184/49812]	Loss: 0.9595	LR: 0.020000
Training Epoch: 17 [13248/49812]	Loss: 0.7793	LR: 0.020000
Training Epoch: 17 [13312/49812]	Loss: 0.5724	LR: 0.020000
Training Epoch: 17 [13376/49812]	Loss: 0.7704	LR: 0.020000
Training Epoch: 17 [13440/49812]	Loss: 0.8171	LR: 0.020000
Training Epoch: 17 [13504/49812]	Loss: 0.7237	LR: 0.020000
Training Epoch: 17 [13568/49812]	Loss: 0.9582	LR: 0.020000
Training Epoch: 17 [13632/49812]	Loss: 0.9866	LR: 0.020000
Training Epoch: 17 [13696/49812]	Loss: 0.9180	LR: 0.020000
Training Epoch: 17 [13760/49812]	Loss: 1.0577	LR: 0.020000
Training Epoch: 17 [13824/49812]	Loss: 0.8008	LR: 0.020000
Training Epoch: 17 [13888/49812]	Loss: 0.8204	LR: 0.020000
Training Epoch: 17 [13952/49812]	Loss: 1.2024	LR: 0.020000
Training Epoch: 17 [14016/49812]	Loss: 0.8543	LR: 0.020000
Training Epoch: 17 [14080/49812]	Loss: 1.0112	LR: 0.020000
Training Epoch: 17 [14144/49812]	Loss: 0.8266	LR: 0.020000
Training Epoch: 17 [14208/49812]	Loss: 0.9241	LR: 0.020000
Training Epoch: 17 [14272/49812]	Loss: 0.8535	LR: 0.020000
Training Epoch: 17 [14336/49812]	Loss: 1.1418	LR: 0.020000
Training Epoch: 17 [14400/49812]	Loss: 0.7691	LR: 0.020000
Training Epoch: 17 [14464/49812]	Loss: 0.6432	LR: 0.020000
Training Epoch: 17 [14528/49812]	Loss: 0.6843	LR: 0.020000
Training Epoch: 17 [14592/49812]	Loss: 0.7990	LR: 0.020000
Training Epoch: 17 [14656/49812]	Loss: 0.9711	LR: 0.020000
Training Epoch: 17 [14720/49812]	Loss: 0.9967	LR: 0.020000
Training Epoch: 17 [14784/49812]	Loss: 1.0589	LR: 0.020000
Training Epoch: 17 [14848/49812]	Loss: 0.7650	LR: 0.020000
Training Epoch: 17 [14912/49812]	Loss: 1.0952	LR: 0.020000
Training Epoch: 17 [14976/49812]	Loss: 0.7864	LR: 0.020000
Training Epoch: 17 [15040/49812]	Loss: 0.9821	LR: 0.020000
Training Epoch: 17 [15104/49812]	Loss: 0.7046	LR: 0.020000
Training Epoch: 17 [15168/49812]	Loss: 0.7487	LR: 0.020000
Training Epoch: 17 [15232/49812]	Loss: 0.7574	LR: 0.020000
Training Epoch: 17 [15296/49812]	Loss: 0.9916	LR: 0.020000
Training Epoch: 17 [15360/49812]	Loss: 0.6464	LR: 0.020000
Training Epoch: 17 [15424/49812]	Loss: 0.9804	LR: 0.020000
Training Epoch: 17 [15488/49812]	Loss: 1.1927	LR: 0.020000
Training Epoch: 17 [15552/49812]	Loss: 0.7818	LR: 0.020000
Training Epoch: 17 [15616/49812]	Loss: 1.0740	LR: 0.020000
Training Epoch: 17 [15680/49812]	Loss: 1.1006	LR: 0.020000
Training Epoch: 17 [15744/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 17 [15808/49812]	Loss: 0.7122	LR: 0.020000
Training Epoch: 17 [15872/49812]	Loss: 0.8036	LR: 0.020000
Training Epoch: 17 [15936/49812]	Loss: 1.0185	LR: 0.020000
Training Epoch: 17 [16000/49812]	Loss: 0.7901	LR: 0.020000
Training Epoch: 17 [16064/49812]	Loss: 0.8757	LR: 0.020000
Training Epoch: 17 [16128/49812]	Loss: 1.0762	LR: 0.020000
Training Epoch: 17 [16192/49812]	Loss: 0.7791	LR: 0.020000
Training Epoch: 17 [16256/49812]	Loss: 0.9291	LR: 0.020000
Training Epoch: 17 [16320/49812]	Loss: 0.9324	LR: 0.020000
Training Epoch: 17 [16384/49812]	Loss: 0.5589	LR: 0.020000
Training Epoch: 17 [16448/49812]	Loss: 1.0774	LR: 0.020000
Training Epoch: 17 [16512/49812]	Loss: 0.9907	LR: 0.020000
Training Epoch: 17 [16576/49812]	Loss: 0.9667	LR: 0.020000
Training Epoch: 17 [16640/49812]	Loss: 0.9422	LR: 0.020000
Training Epoch: 17 [16704/49812]	Loss: 0.8392	LR: 0.020000
Training Epoch: 17 [16768/49812]	Loss: 1.3103	LR: 0.020000
Training Epoch: 17 [16832/49812]	Loss: 1.1780	LR: 0.020000
Training Epoch: 17 [16896/49812]	Loss: 0.7096	LR: 0.020000
Training Epoch: 17 [16960/49812]	Loss: 0.7893	LR: 0.020000
Training Epoch: 17 [17024/49812]	Loss: 0.8255	LR: 0.020000
Training Epoch: 17 [17088/49812]	Loss: 0.6836	LR: 0.020000
Training Epoch: 17 [17152/49812]	Loss: 0.9462	LR: 0.020000
Training Epoch: 17 [17216/49812]	Loss: 1.0704	LR: 0.020000
Training Epoch: 17 [17280/49812]	Loss: 1.0906	LR: 0.020000
Training Epoch: 17 [17344/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 17 [17408/49812]	Loss: 0.8942	LR: 0.020000
Training Epoch: 17 [17472/49812]	Loss: 0.7915	LR: 0.020000
Training Epoch: 17 [17536/49812]	Loss: 1.0713	LR: 0.020000
Training Epoch: 17 [17600/49812]	Loss: 1.0264	LR: 0.020000
Training Epoch: 17 [17664/49812]	Loss: 1.0580	LR: 0.020000
Training Epoch: 17 [17728/49812]	Loss: 0.9158	LR: 0.020000
Training Epoch: 17 [17792/49812]	Loss: 0.5690	LR: 0.020000
Training Epoch: 17 [17856/49812]	Loss: 1.0864	LR: 0.020000
Training Epoch: 17 [17920/49812]	Loss: 0.8986	LR: 0.020000
Training Epoch: 17 [17984/49812]	Loss: 0.7846	LR: 0.020000
Training Epoch: 17 [18048/49812]	Loss: 0.9599	LR: 0.020000
Training Epoch: 17 [18112/49812]	Loss: 0.9913	LR: 0.020000
Training Epoch: 17 [18176/49812]	Loss: 0.7749	LR: 0.020000
Training Epoch: 17 [18240/49812]	Loss: 0.7190	LR: 0.020000
Training Epoch: 17 [18304/49812]	Loss: 0.8525	LR: 0.020000
Training Epoch: 17 [18368/49812]	Loss: 0.8776	LR: 0.020000
Training Epoch: 17 [18432/49812]	Loss: 0.9578	LR: 0.020000
Training Epoch: 17 [18496/49812]	Loss: 0.7331	LR: 0.020000
Training Epoch: 17 [18560/49812]	Loss: 0.9968	LR: 0.020000
Training Epoch: 17 [18624/49812]	Loss: 1.1396	LR: 0.020000
Training Epoch: 17 [18688/49812]	Loss: 0.8241	LR: 0.020000
Training Epoch: 17 [18752/49812]	Loss: 0.5677	LR: 0.020000
Training Epoch: 17 [18816/49812]	Loss: 0.9085	LR: 0.020000
Training Epoch: 17 [18880/49812]	Loss: 0.9472	LR: 0.020000
Training Epoch: 17 [18944/49812]	Loss: 0.8289	LR: 0.020000
Training Epoch: 17 [19008/49812]	Loss: 0.9543	LR: 0.020000
Training Epoch: 17 [19072/49812]	Loss: 1.0744	LR: 0.020000
Training Epoch: 17 [19136/49812]	Loss: 0.9652	LR: 0.020000
Training Epoch: 17 [19200/49812]	Loss: 0.6545	LR: 0.020000
Training Epoch: 17 [19264/49812]	Loss: 0.8110	LR: 0.020000
Training Epoch: 17 [19328/49812]	Loss: 0.8568	LR: 0.020000
Training Epoch: 17 [19392/49812]	Loss: 0.8149	LR: 0.020000
Training Epoch: 17 [19456/49812]	Loss: 1.1229	LR: 0.020000
Training Epoch: 17 [19520/49812]	Loss: 1.1290	LR: 0.020000
Training Epoch: 17 [19584/49812]	Loss: 0.9082	LR: 0.020000
Training Epoch: 17 [19648/49812]	Loss: 0.8483	LR: 0.020000
Training Epoch: 17 [19712/49812]	Loss: 0.7466	LR: 0.020000
Training Epoch: 17 [19776/49812]	Loss: 0.6981	LR: 0.020000
Training Epoch: 17 [19840/49812]	Loss: 1.0430	LR: 0.020000
Training Epoch: 17 [19904/49812]	Loss: 1.1871	LR: 0.020000
Training Epoch: 17 [19968/49812]	Loss: 0.9729	LR: 0.020000
Training Epoch: 17 [20032/49812]	Loss: 1.2595	LR: 0.020000
Training Epoch: 17 [20096/49812]	Loss: 1.0113	LR: 0.020000
Training Epoch: 17 [20160/49812]	Loss: 1.0724	LR: 0.020000
Training Epoch: 17 [20224/49812]	Loss: 0.9086	LR: 0.020000
Training Epoch: 17 [20288/49812]	Loss: 0.6484	LR: 0.020000
Training Epoch: 17 [20352/49812]	Loss: 0.8401	LR: 0.020000
Training Epoch: 17 [20416/49812]	Loss: 0.8074	LR: 0.020000
Training Epoch: 17 [20480/49812]	Loss: 0.7506	LR: 0.020000
Training Epoch: 17 [20544/49812]	Loss: 1.0305	LR: 0.020000
Training Epoch: 17 [20608/49812]	Loss: 1.0212	LR: 0.020000
Training Epoch: 17 [20672/49812]	Loss: 0.9102	LR: 0.020000
Training Epoch: 17 [20736/49812]	Loss: 0.9502	LR: 0.020000
Training Epoch: 17 [20800/49812]	Loss: 0.6541	LR: 0.020000
Training Epoch: 17 [20864/49812]	Loss: 0.8945	LR: 0.020000
Training Epoch: 17 [20928/49812]	Loss: 0.9967	LR: 0.020000
Training Epoch: 17 [20992/49812]	Loss: 0.7297	LR: 0.020000
Training Epoch: 17 [21056/49812]	Loss: 1.1211	LR: 0.020000
Training Epoch: 17 [21120/49812]	Loss: 0.8680	LR: 0.020000
Training Epoch: 17 [21184/49812]	Loss: 0.9335	LR: 0.020000
Training Epoch: 17 [21248/49812]	Loss: 1.0545	LR: 0.020000
Training Epoch: 17 [21312/49812]	Loss: 1.0098	LR: 0.020000
Training Epoch: 17 [21376/49812]	Loss: 0.7119	LR: 0.020000
Training Epoch: 17 [21440/49812]	Loss: 1.0858	LR: 0.020000
Training Epoch: 17 [21504/49812]	Loss: 1.1040	LR: 0.020000
Training Epoch: 17 [21568/49812]	Loss: 0.8365	LR: 0.020000
Training Epoch: 17 [21632/49812]	Loss: 1.3350	LR: 0.020000
Training Epoch: 17 [21696/49812]	Loss: 0.7154	LR: 0.020000
Training Epoch: 17 [21760/49812]	Loss: 0.6906	LR: 0.020000
Training Epoch: 17 [21824/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 17 [21888/49812]	Loss: 0.9123	LR: 0.020000
Training Epoch: 17 [21952/49812]	Loss: 1.0308	LR: 0.020000
Training Epoch: 17 [22016/49812]	Loss: 0.7950	LR: 0.020000
Training Epoch: 17 [22080/49812]	Loss: 0.8637	LR: 0.020000
Training Epoch: 17 [22144/49812]	Loss: 1.0153	LR: 0.020000
Training Epoch: 17 [22208/49812]	Loss: 0.8218	LR: 0.020000
Training Epoch: 17 [22272/49812]	Loss: 0.9580	LR: 0.020000
Training Epoch: 17 [22336/49812]	Loss: 0.8953	LR: 0.020000
Training Epoch: 17 [22400/49812]	Loss: 1.0586	LR: 0.020000
Training Epoch: 17 [22464/49812]	Loss: 0.8124	LR: 0.020000
Training Epoch: 17 [22528/49812]	Loss: 0.9506	LR: 0.020000
Training Epoch: 17 [22592/49812]	Loss: 1.0110	LR: 0.020000
Training Epoch: 17 [22656/49812]	Loss: 0.8808	LR: 0.020000
Training Epoch: 17 [22720/49812]	Loss: 0.8268	LR: 0.020000
Training Epoch: 17 [22784/49812]	Loss: 0.8954	LR: 0.020000
Training Epoch: 17 [22848/49812]	Loss: 0.9522	LR: 0.020000
Training Epoch: 17 [22912/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 17 [22976/49812]	Loss: 0.9130	LR: 0.020000
Training Epoch: 17 [23040/49812]	Loss: 0.7743	LR: 0.020000
Training Epoch: 17 [23104/49812]	Loss: 0.6236	LR: 0.020000
Training Epoch: 17 [23168/49812]	Loss: 0.9225	LR: 0.020000
Training Epoch: 17 [23232/49812]	Loss: 1.0211	LR: 0.020000
Training Epoch: 17 [23296/49812]	Loss: 0.6573	LR: 0.020000
Training Epoch: 17 [23360/49812]	Loss: 0.6681	LR: 0.020000
Training Epoch: 17 [23424/49812]	Loss: 0.9894	LR: 0.020000
Training Epoch: 17 [23488/49812]	Loss: 0.9206	LR: 0.020000
Training Epoch: 17 [23552/49812]	Loss: 0.9650	LR: 0.020000
Training Epoch: 17 [23616/49812]	Loss: 1.0000	LR: 0.020000
Training Epoch: 17 [23680/49812]	Loss: 0.9689	LR: 0.020000
Training Epoch: 17 [23744/49812]	Loss: 0.6982	LR: 0.020000
Training Epoch: 17 [23808/49812]	Loss: 0.9635	LR: 0.020000
Training Epoch: 17 [23872/49812]	Loss: 1.0178	LR: 0.020000
Training Epoch: 17 [23936/49812]	Loss: 0.8568	LR: 0.020000
Training Epoch: 17 [24000/49812]	Loss: 0.8010	LR: 0.020000
Training Epoch: 17 [24064/49812]	Loss: 0.9459	LR: 0.020000
Training Epoch: 17 [24128/49812]	Loss: 0.7074	LR: 0.020000
Training Epoch: 17 [24192/49812]	Loss: 0.8190	LR: 0.020000
Training Epoch: 17 [24256/49812]	Loss: 0.8212	LR: 0.020000
Training Epoch: 17 [24320/49812]	Loss: 0.7342	LR: 0.020000
Training Epoch: 17 [24384/49812]	Loss: 0.8226	LR: 0.020000
Training Epoch: 17 [24448/49812]	Loss: 0.7332	LR: 0.020000
Training Epoch: 17 [24512/49812]	Loss: 0.7359	LR: 0.020000
Training Epoch: 17 [24576/49812]	Loss: 0.6533	LR: 0.020000
Training Epoch: 17 [24640/49812]	Loss: 0.8570	LR: 0.020000
Training Epoch: 17 [24704/49812]	Loss: 0.7220	LR: 0.020000
Training Epoch: 17 [24768/49812]	Loss: 0.8647	LR: 0.020000
Training Epoch: 17 [24832/49812]	Loss: 0.8191	LR: 0.020000
Training Epoch: 17 [24896/49812]	Loss: 0.9246	LR: 0.020000
Training Epoch: 17 [24960/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 17 [25024/49812]	Loss: 0.8526	LR: 0.020000
Training Epoch: 17 [25088/49812]	Loss: 0.9204	LR: 0.020000
Training Epoch: 17 [25152/49812]	Loss: 0.8713	LR: 0.020000
Training Epoch: 17 [25216/49812]	Loss: 0.6444	LR: 0.020000
Training Epoch: 17 [25280/49812]	Loss: 0.7013	LR: 0.020000
Training Epoch: 17 [25344/49812]	Loss: 0.9824	LR: 0.020000
Training Epoch: 17 [25408/49812]	Loss: 0.8747	LR: 0.020000
Training Epoch: 17 [25472/49812]	Loss: 0.8328	LR: 0.020000
Training Epoch: 17 [25536/49812]	Loss: 1.1248	LR: 0.020000
Training Epoch: 17 [25600/49812]	Loss: 0.8658	LR: 0.020000
Training Epoch: 17 [25664/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 17 [25728/49812]	Loss: 0.8669	LR: 0.020000
Training Epoch: 17 [25792/49812]	Loss: 0.8970	LR: 0.020000
Training Epoch: 17 [25856/49812]	Loss: 0.9941	LR: 0.020000
Training Epoch: 17 [25920/49812]	Loss: 1.1719	LR: 0.020000
Training Epoch: 17 [25984/49812]	Loss: 0.6865	LR: 0.020000
Training Epoch: 17 [26048/49812]	Loss: 0.7580	LR: 0.020000
Training Epoch: 17 [26112/49812]	Loss: 0.6944	LR: 0.020000
Training Epoch: 17 [26176/49812]	Loss: 0.9566	LR: 0.020000
Training Epoch: 17 [26240/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 17 [26304/49812]	Loss: 1.0619	LR: 0.020000
Training Epoch: 17 [26368/49812]	Loss: 1.4057	LR: 0.020000
Training Epoch: 17 [26432/49812]	Loss: 0.9891	LR: 0.020000
Training Epoch: 17 [26496/49812]	Loss: 0.7542	LR: 0.020000
Training Epoch: 17 [26560/49812]	Loss: 0.7534	LR: 0.020000
Training Epoch: 17 [26624/49812]	Loss: 1.0595	LR: 0.020000
Training Epoch: 17 [26688/49812]	Loss: 0.8101	LR: 0.020000
Training Epoch: 17 [26752/49812]	Loss: 0.6383	LR: 0.020000
Training Epoch: 17 [26816/49812]	Loss: 1.1810	LR: 0.020000
Training Epoch: 17 [26880/49812]	Loss: 0.8667	LR: 0.020000
Training Epoch: 17 [26944/49812]	Loss: 1.0427	LR: 0.020000
Training Epoch: 17 [27008/49812]	Loss: 0.7747	LR: 0.020000
Training Epoch: 17 [27072/49812]	Loss: 0.9827	LR: 0.020000
Training Epoch: 17 [27136/49812]	Loss: 0.6051	LR: 0.020000
Training Epoch: 17 [27200/49812]	Loss: 0.9415	LR: 0.020000
Training Epoch: 17 [27264/49812]	Loss: 0.8624	LR: 0.020000
Training Epoch: 17 [27328/49812]	Loss: 0.7557	LR: 0.020000
Training Epoch: 17 [27392/49812]	Loss: 0.8182	LR: 0.020000
Training Epoch: 17 [27456/49812]	Loss: 0.9322	LR: 0.020000
Training Epoch: 17 [27520/49812]	Loss: 0.7824	LR: 0.020000
Training Epoch: 17 [27584/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 17 [27648/49812]	Loss: 1.2661	LR: 0.020000
Training Epoch: 17 [27712/49812]	Loss: 1.0594	LR: 0.020000
Training Epoch: 17 [27776/49812]	Loss: 1.0312	LR: 0.020000
Training Epoch: 17 [27840/49812]	Loss: 1.0359	LR: 0.020000
Training Epoch: 17 [27904/49812]	Loss: 1.1032	LR: 0.020000
Training Epoch: 17 [27968/49812]	Loss: 0.9811	LR: 0.020000
Training Epoch: 17 [28032/49812]	Loss: 1.0552	LR: 0.020000
Training Epoch: 17 [28096/49812]	Loss: 0.7307	LR: 0.020000
Training Epoch: 17 [28160/49812]	Loss: 1.0238	LR: 0.020000
Training Epoch: 17 [28224/49812]	Loss: 0.8600	LR: 0.020000
Training Epoch: 17 [28288/49812]	Loss: 0.7698	LR: 0.020000
Training Epoch: 17 [28352/49812]	Loss: 0.9089	LR: 0.020000
Training Epoch: 17 [28416/49812]	Loss: 1.1375	LR: 0.020000
Training Epoch: 17 [28480/49812]	Loss: 0.9748	LR: 0.020000
Training Epoch: 17 [28544/49812]	Loss: 0.9002	LR: 0.020000
Training Epoch: 17 [28608/49812]	Loss: 0.8046	LR: 0.020000
Training Epoch: 17 [28672/49812]	Loss: 0.7370	LR: 0.020000
Training Epoch: 17 [28736/49812]	Loss: 0.7848	LR: 0.020000
Training Epoch: 17 [28800/49812]	Loss: 0.9498	LR: 0.020000
Training Epoch: 17 [28864/49812]	Loss: 0.8242	LR: 0.020000
Training Epoch: 17 [28928/49812]	Loss: 0.9476	LR: 0.020000
Training Epoch: 17 [28992/49812]	Loss: 1.0308	LR: 0.020000
Training Epoch: 17 [29056/49812]	Loss: 0.9373	LR: 0.020000
Training Epoch: 17 [29120/49812]	Loss: 0.9336	LR: 0.020000
Training Epoch: 17 [29184/49812]	Loss: 0.8044	LR: 0.020000
Training Epoch: 17 [29248/49812]	Loss: 0.9150	LR: 0.020000
Training Epoch: 17 [29312/49812]	Loss: 0.6797	LR: 0.020000
Training Epoch: 17 [29376/49812]	Loss: 1.0947	LR: 0.020000
Training Epoch: 17 [29440/49812]	Loss: 0.8096	LR: 0.020000
Training Epoch: 17 [29504/49812]	Loss: 0.9651	LR: 0.020000
Training Epoch: 17 [29568/49812]	Loss: 0.8751	LR: 0.020000
Training Epoch: 17 [29632/49812]	Loss: 0.8451	LR: 0.020000
Training Epoch: 17 [29696/49812]	Loss: 0.9094	LR: 0.020000
Training Epoch: 17 [29760/49812]	Loss: 0.9498	LR: 0.020000
Training Epoch: 17 [29824/49812]	Loss: 0.9347	LR: 0.020000
Training Epoch: 17 [29888/49812]	Loss: 0.8984	LR: 0.020000
Training Epoch: 17 [29952/49812]	Loss: 0.9699	LR: 0.020000
Training Epoch: 17 [30016/49812]	Loss: 0.7898	LR: 0.020000
Training Epoch: 17 [30080/49812]	Loss: 0.9006	LR: 0.020000
Training Epoch: 17 [30144/49812]	Loss: 0.8144	LR: 0.020000
Training Epoch: 17 [30208/49812]	Loss: 1.3177	LR: 0.020000
Training Epoch: 17 [30272/49812]	Loss: 1.1716	LR: 0.020000
Training Epoch: 17 [30336/49812]	Loss: 1.0102	LR: 0.020000
Training Epoch: 17 [30400/49812]	Loss: 0.7669	LR: 0.020000
Training Epoch: 17 [30464/49812]	Loss: 1.1328	LR: 0.020000
Training Epoch: 17 [30528/49812]	Loss: 0.8756	LR: 0.020000
Training Epoch: 17 [30592/49812]	Loss: 1.0802	LR: 0.020000
Training Epoch: 17 [30656/49812]	Loss: 0.9770	LR: 0.020000
Training Epoch: 17 [30720/49812]	Loss: 0.9682	LR: 0.020000
Training Epoch: 17 [30784/49812]	Loss: 0.9946	LR: 0.020000
Training Epoch: 17 [30848/49812]	Loss: 0.7881	LR: 0.020000
Training Epoch: 17 [30912/49812]	Loss: 0.9498	LR: 0.020000
Training Epoch: 17 [30976/49812]	Loss: 0.5172	LR: 0.020000
Training Epoch: 17 [31040/49812]	Loss: 1.1074	LR: 0.020000
Training Epoch: 17 [31104/49812]	Loss: 1.0803	LR: 0.020000
Training Epoch: 17 [31168/49812]	Loss: 1.1717	LR: 0.020000
Training Epoch: 17 [31232/49812]	Loss: 1.0795	LR: 0.020000
Training Epoch: 17 [31296/49812]	Loss: 0.6530	LR: 0.020000
Training Epoch: 17 [31360/49812]	Loss: 0.8812	LR: 0.020000
Training Epoch: 17 [31424/49812]	Loss: 0.8039	LR: 0.020000
Training Epoch: 17 [31488/49812]	Loss: 0.7781	LR: 0.020000
Training Epoch: 17 [31552/49812]	Loss: 1.0328	LR: 0.020000
Training Epoch: 17 [31616/49812]	Loss: 0.9257	LR: 0.020000
Training Epoch: 17 [31680/49812]	Loss: 0.7915	LR: 0.020000
Training Epoch: 17 [31744/49812]	Loss: 0.8333	LR: 0.020000
Training Epoch: 17 [31808/49812]	Loss: 0.9124	LR: 0.020000
Training Epoch: 17 [31872/49812]	Loss: 1.0013	LR: 0.020000
Training Epoch: 17 [31936/49812]	Loss: 0.9610	LR: 0.020000
Training Epoch: 17 [32000/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 17 [32064/49812]	Loss: 0.8506	LR: 0.020000
Training Epoch: 17 [32128/49812]	Loss: 0.8659	LR: 0.020000
Training Epoch: 17 [32192/49812]	Loss: 1.1457	LR: 0.020000
Training Epoch: 17 [32256/49812]	Loss: 0.9623	LR: 0.020000
Training Epoch: 17 [32320/49812]	Loss: 0.5310	LR: 0.020000
Training Epoch: 17 [32384/49812]	Loss: 0.8431	LR: 0.020000
Training Epoch: 17 [32448/49812]	Loss: 0.8700	LR: 0.020000
Training Epoch: 17 [32512/49812]	Loss: 0.8781	LR: 0.020000
Training Epoch: 17 [32576/49812]	Loss: 0.8871	LR: 0.020000
Training Epoch: 17 [32640/49812]	Loss: 0.6660	LR: 0.020000
Training Epoch: 17 [32704/49812]	Loss: 0.7532	LR: 0.020000
Training Epoch: 17 [32768/49812]	Loss: 0.8130	LR: 0.020000
Training Epoch: 17 [32832/49812]	Loss: 1.3249	LR: 0.020000
Training Epoch: 17 [32896/49812]	Loss: 0.8995	LR: 0.020000
Training Epoch: 17 [32960/49812]	Loss: 0.9716	LR: 0.020000
Training Epoch: 17 [33024/49812]	Loss: 0.8257	LR: 0.020000
Training Epoch: 17 [33088/49812]	Loss: 0.7995	LR: 0.020000
Training Epoch: 17 [33152/49812]	Loss: 0.7454	LR: 0.020000
Training Epoch: 17 [33216/49812]	Loss: 0.8791	LR: 0.020000
Training Epoch: 17 [33280/49812]	Loss: 1.0304	LR: 0.020000
Training Epoch: 17 [33344/49812]	Loss: 0.8625	LR: 0.020000
Training Epoch: 17 [33408/49812]	Loss: 1.0637	LR: 0.020000
Training Epoch: 17 [33472/49812]	Loss: 1.0551	LR: 0.020000
Training Epoch: 17 [33536/49812]	Loss: 1.1286	LR: 0.020000
Training Epoch: 17 [33600/49812]	Loss: 0.9080	LR: 0.020000
Training Epoch: 17 [33664/49812]	Loss: 0.9353	LR: 0.020000
Training Epoch: 17 [33728/49812]	Loss: 0.7108	LR: 0.020000
Training Epoch: 17 [33792/49812]	Loss: 0.8131	LR: 0.020000
Training Epoch: 17 [33856/49812]	Loss: 1.0682	LR: 0.020000
Training Epoch: 17 [33920/49812]	Loss: 0.6481	LR: 0.020000
Training Epoch: 17 [33984/49812]	Loss: 0.8019	LR: 0.020000
Training Epoch: 17 [34048/49812]	Loss: 0.9923	LR: 0.020000
Training Epoch: 17 [34112/49812]	Loss: 1.0014	LR: 0.020000
Training Epoch: 17 [34176/49812]	Loss: 0.7988	LR: 0.020000
Training Epoch: 17 [34240/49812]	Loss: 0.9569	LR: 0.020000
Training Epoch: 17 [34304/49812]	Loss: 0.9870	LR: 0.020000
Training Epoch: 17 [34368/49812]	Loss: 0.7830	LR: 0.020000
Training Epoch: 17 [34432/49812]	Loss: 0.9595	LR: 0.020000
Training Epoch: 17 [34496/49812]	Loss: 1.2107	LR: 0.020000
Training Epoch: 17 [34560/49812]	Loss: 0.7601	LR: 0.020000
Training Epoch: 17 [34624/49812]	Loss: 1.1303	LR: 0.020000
Training Epoch: 17 [34688/49812]	Loss: 1.0463	LR: 0.020000
Training Epoch: 17 [34752/49812]	Loss: 1.1763	LR: 0.020000
Training Epoch: 17 [34816/49812]	Loss: 0.6838	LR: 0.020000
Training Epoch: 17 [34880/49812]	Loss: 0.6700	LR: 0.020000
Training Epoch: 17 [34944/49812]	Loss: 0.7763	LR: 0.020000
Training Epoch: 17 [35008/49812]	Loss: 1.0993	LR: 0.020000
Training Epoch: 17 [35072/49812]	Loss: 0.8141	LR: 0.020000
Training Epoch: 17 [35136/49812]	Loss: 0.9624	LR: 0.020000
Training Epoch: 17 [35200/49812]	Loss: 1.0442	LR: 0.020000
Training Epoch: 17 [35264/49812]	Loss: 0.9629	LR: 0.020000
Training Epoch: 17 [35328/49812]	Loss: 0.9154	LR: 0.020000
Training Epoch: 17 [35392/49812]	Loss: 1.2528	LR: 0.020000
Training Epoch: 17 [35456/49812]	Loss: 0.8037	LR: 0.020000
Training Epoch: 17 [35520/49812]	Loss: 0.8136	LR: 0.020000
Training Epoch: 17 [35584/49812]	Loss: 0.8453	LR: 0.020000
Training Epoch: 17 [35648/49812]	Loss: 0.8160	LR: 0.020000
Training Epoch: 17 [35712/49812]	Loss: 0.9766	LR: 0.020000
Training Epoch: 17 [35776/49812]	Loss: 0.7157	LR: 0.020000
Training Epoch: 17 [35840/49812]	Loss: 0.9800	LR: 0.020000
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Training Epoch: 17 [35968/49812]	Loss: 0.8837	LR: 0.020000
Training Epoch: 17 [36032/49812]	Loss: 0.9409	LR: 0.020000
Training Epoch: 17 [36096/49812]	Loss: 0.8654	LR: 0.020000
Training Epoch: 17 [36160/49812]	Loss: 0.7769	LR: 0.020000
Training Epoch: 17 [36224/49812]	Loss: 0.8536	LR: 0.020000
Training Epoch: 17 [36288/49812]	Loss: 0.7895	LR: 0.020000
Training Epoch: 17 [36352/49812]	Loss: 0.4887	LR: 0.020000
Training Epoch: 17 [36416/49812]	Loss: 0.7387	LR: 0.020000
Training Epoch: 17 [36480/49812]	Loss: 1.0296	LR: 0.020000
Training Epoch: 17 [36544/49812]	Loss: 0.8778	LR: 0.020000
Training Epoch: 17 [36608/49812]	Loss: 0.9747	LR: 0.020000
Training Epoch: 17 [36672/49812]	Loss: 0.9774	LR: 0.020000
Training Epoch: 17 [36736/49812]	Loss: 0.9036	LR: 0.020000
Training Epoch: 17 [36800/49812]	Loss: 1.1093	LR: 0.020000
Training Epoch: 17 [36864/49812]	Loss: 0.9151	LR: 0.020000
Training Epoch: 17 [36928/49812]	Loss: 1.2114	LR: 0.020000
Training Epoch: 17 [36992/49812]	Loss: 0.9030	LR: 0.020000
Training Epoch: 17 [37056/49812]	Loss: 0.8698	LR: 0.020000
Training Epoch: 17 [37120/49812]	Loss: 0.8625	LR: 0.020000
Training Epoch: 17 [37184/49812]	Loss: 1.0861	LR: 0.020000
Training Epoch: 17 [37248/49812]	Loss: 0.7559	LR: 0.020000
Training Epoch: 17 [37312/49812]	Loss: 1.1116	LR: 0.020000
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Training Epoch: 17 [49812/49812]	Loss: 1.3175	LR: 0.020000
Epoch 17 - Average Train Loss: 0.8888, Train Accuracy: 0.7148
Epoch 17 training time consumed: 266.13s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0147, Accuracy: 0.7072, Time consumed:17.01s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-17-best.pth
Training Epoch: 18 [64/49812]	Loss: 1.1711	LR: 0.020000
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Training Epoch: 18 [5760/49812]	Loss: 0.8998	LR: 0.020000
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Training Epoch: 18 [5888/49812]	Loss: 0.9026	LR: 0.020000
Training Epoch: 18 [5952/49812]	Loss: 0.9136	LR: 0.020000
Training Epoch: 18 [6016/49812]	Loss: 0.8774	LR: 0.020000
Training Epoch: 18 [6080/49812]	Loss: 0.8555	LR: 0.020000
Training Epoch: 18 [6144/49812]	Loss: 0.8536	LR: 0.020000
Training Epoch: 18 [6208/49812]	Loss: 0.7990	LR: 0.020000
Training Epoch: 18 [6272/49812]	Loss: 0.6509	LR: 0.020000
Training Epoch: 18 [6336/49812]	Loss: 0.7460	LR: 0.020000
Training Epoch: 18 [6400/49812]	Loss: 0.9394	LR: 0.020000
Training Epoch: 18 [6464/49812]	Loss: 0.7213	LR: 0.020000
Training Epoch: 18 [6528/49812]	Loss: 0.7016	LR: 0.020000
Training Epoch: 18 [6592/49812]	Loss: 0.5465	LR: 0.020000
Training Epoch: 18 [6656/49812]	Loss: 0.6953	LR: 0.020000
Training Epoch: 18 [6720/49812]	Loss: 0.8702	LR: 0.020000
Training Epoch: 18 [6784/49812]	Loss: 1.1213	LR: 0.020000
Training Epoch: 18 [6848/49812]	Loss: 0.9727	LR: 0.020000
Training Epoch: 18 [6912/49812]	Loss: 1.1174	LR: 0.020000
Training Epoch: 18 [6976/49812]	Loss: 0.9406	LR: 0.020000
Training Epoch: 18 [7040/49812]	Loss: 0.7198	LR: 0.020000
Training Epoch: 18 [7104/49812]	Loss: 0.6992	LR: 0.020000
Training Epoch: 18 [7168/49812]	Loss: 0.8268	LR: 0.020000
Training Epoch: 18 [7232/49812]	Loss: 0.9877	LR: 0.020000
Training Epoch: 18 [7296/49812]	Loss: 0.7575	LR: 0.020000
Training Epoch: 18 [7360/49812]	Loss: 0.8353	LR: 0.020000
Training Epoch: 18 [7424/49812]	Loss: 0.8037	LR: 0.020000
Training Epoch: 18 [7488/49812]	Loss: 0.7978	LR: 0.020000
Training Epoch: 18 [7552/49812]	Loss: 0.8910	LR: 0.020000
Training Epoch: 18 [7616/49812]	Loss: 1.1998	LR: 0.020000
Training Epoch: 18 [7680/49812]	Loss: 0.8578	LR: 0.020000
Training Epoch: 18 [7744/49812]	Loss: 0.9423	LR: 0.020000
Training Epoch: 18 [7808/49812]	Loss: 0.8423	LR: 0.020000
Training Epoch: 18 [7872/49812]	Loss: 0.8170	LR: 0.020000
Training Epoch: 18 [7936/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 18 [8000/49812]	Loss: 1.0340	LR: 0.020000
Training Epoch: 18 [8064/49812]	Loss: 0.9893	LR: 0.020000
Training Epoch: 18 [8128/49812]	Loss: 0.9064	LR: 0.020000
Training Epoch: 18 [8192/49812]	Loss: 0.9002	LR: 0.020000
Training Epoch: 18 [8256/49812]	Loss: 0.8720	LR: 0.020000
Training Epoch: 18 [8320/49812]	Loss: 0.7705	LR: 0.020000
Training Epoch: 18 [8384/49812]	Loss: 0.9492	LR: 0.020000
Training Epoch: 18 [8448/49812]	Loss: 0.7550	LR: 0.020000
Training Epoch: 18 [8512/49812]	Loss: 0.8041	LR: 0.020000
Training Epoch: 18 [8576/49812]	Loss: 0.7521	LR: 0.020000
Training Epoch: 18 [8640/49812]	Loss: 0.6184	LR: 0.020000
Training Epoch: 18 [8704/49812]	Loss: 0.8552	LR: 0.020000
Training Epoch: 18 [8768/49812]	Loss: 0.7686	LR: 0.020000
Training Epoch: 18 [8832/49812]	Loss: 0.8160	LR: 0.020000
Training Epoch: 18 [8896/49812]	Loss: 1.1596	LR: 0.020000
Training Epoch: 18 [8960/49812]	Loss: 0.9978	LR: 0.020000
Training Epoch: 18 [9024/49812]	Loss: 0.8268	LR: 0.020000
Training Epoch: 18 [9088/49812]	Loss: 0.8894	LR: 0.020000
Training Epoch: 18 [9152/49812]	Loss: 0.9171	LR: 0.020000
Training Epoch: 18 [9216/49812]	Loss: 1.0146	LR: 0.020000
Training Epoch: 18 [9280/49812]	Loss: 0.8037	LR: 0.020000
Training Epoch: 18 [9344/49812]	Loss: 0.9328	LR: 0.020000
Training Epoch: 18 [9408/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 18 [9472/49812]	Loss: 0.7843	LR: 0.020000
Training Epoch: 18 [9536/49812]	Loss: 0.9103	LR: 0.020000
Training Epoch: 18 [9600/49812]	Loss: 0.7385	LR: 0.020000
Training Epoch: 18 [9664/49812]	Loss: 0.8881	LR: 0.020000
Training Epoch: 18 [9728/49812]	Loss: 0.7243	LR: 0.020000
Training Epoch: 18 [9792/49812]	Loss: 0.9400	LR: 0.020000
Training Epoch: 18 [9856/49812]	Loss: 0.6264	LR: 0.020000
Training Epoch: 18 [9920/49812]	Loss: 0.5892	LR: 0.020000
Training Epoch: 18 [9984/49812]	Loss: 0.7638	LR: 0.020000
Training Epoch: 18 [10048/49812]	Loss: 0.7123	LR: 0.020000
Training Epoch: 18 [10112/49812]	Loss: 0.9533	LR: 0.020000
Training Epoch: 18 [10176/49812]	Loss: 1.1713	LR: 0.020000
Training Epoch: 18 [10240/49812]	Loss: 0.7894	LR: 0.020000
Training Epoch: 18 [10304/49812]	Loss: 0.8375	LR: 0.020000
Training Epoch: 18 [10368/49812]	Loss: 0.5234	LR: 0.020000
Training Epoch: 18 [10432/49812]	Loss: 0.9226	LR: 0.020000
Training Epoch: 18 [10496/49812]	Loss: 0.9527	LR: 0.020000
Training Epoch: 18 [10560/49812]	Loss: 0.5596	LR: 0.020000
Training Epoch: 18 [10624/49812]	Loss: 0.5525	LR: 0.020000
Training Epoch: 18 [10688/49812]	Loss: 0.9186	LR: 0.020000
Training Epoch: 18 [10752/49812]	Loss: 0.6436	LR: 0.020000
Training Epoch: 18 [10816/49812]	Loss: 0.9735	LR: 0.020000
Training Epoch: 18 [10880/49812]	Loss: 0.7062	LR: 0.020000
Training Epoch: 18 [10944/49812]	Loss: 0.9056	LR: 0.020000
Training Epoch: 18 [11008/49812]	Loss: 1.0470	LR: 0.020000
Training Epoch: 18 [11072/49812]	Loss: 0.9931	LR: 0.020000
Training Epoch: 18 [11136/49812]	Loss: 0.8544	LR: 0.020000
Training Epoch: 18 [11200/49812]	Loss: 0.8066	LR: 0.020000
Training Epoch: 18 [11264/49812]	Loss: 0.8946	LR: 0.020000
Training Epoch: 18 [11328/49812]	Loss: 0.7482	LR: 0.020000
Training Epoch: 18 [11392/49812]	Loss: 0.5838	LR: 0.020000
Training Epoch: 18 [11456/49812]	Loss: 0.7338	LR: 0.020000
Training Epoch: 18 [11520/49812]	Loss: 0.9228	LR: 0.020000
Training Epoch: 18 [11584/49812]	Loss: 0.7278	LR: 0.020000
Training Epoch: 18 [11648/49812]	Loss: 0.8682	LR: 0.020000
Training Epoch: 18 [11712/49812]	Loss: 0.9241	LR: 0.020000
Training Epoch: 18 [11776/49812]	Loss: 0.8553	LR: 0.020000
Training Epoch: 18 [11840/49812]	Loss: 0.8407	LR: 0.020000
Training Epoch: 18 [11904/49812]	Loss: 0.8514	LR: 0.020000
Training Epoch: 18 [11968/49812]	Loss: 0.7788	LR: 0.020000
Training Epoch: 18 [12032/49812]	Loss: 1.0757	LR: 0.020000
Training Epoch: 18 [12096/49812]	Loss: 0.8804	LR: 0.020000
Training Epoch: 18 [12160/49812]	Loss: 0.7820	LR: 0.020000
Training Epoch: 18 [12224/49812]	Loss: 1.1754	LR: 0.020000
Training Epoch: 18 [12288/49812]	Loss: 0.9869	LR: 0.020000
Training Epoch: 18 [12352/49812]	Loss: 0.7229	LR: 0.020000
Training Epoch: 18 [12416/49812]	Loss: 0.9062	LR: 0.020000
Training Epoch: 18 [12480/49812]	Loss: 0.7280	LR: 0.020000
Training Epoch: 18 [12544/49812]	Loss: 1.1956	LR: 0.020000
Training Epoch: 18 [12608/49812]	Loss: 0.8527	LR: 0.020000
Training Epoch: 18 [12672/49812]	Loss: 0.9270	LR: 0.020000
Training Epoch: 18 [12736/49812]	Loss: 0.7819	LR: 0.020000
Training Epoch: 18 [12800/49812]	Loss: 0.9304	LR: 0.020000
Training Epoch: 18 [12864/49812]	Loss: 0.8352	LR: 0.020000
Training Epoch: 18 [12928/49812]	Loss: 0.6710	LR: 0.020000
Training Epoch: 18 [12992/49812]	Loss: 1.0411	LR: 0.020000
Training Epoch: 18 [13056/49812]	Loss: 1.0118	LR: 0.020000
Training Epoch: 18 [13120/49812]	Loss: 0.9057	LR: 0.020000
Training Epoch: 18 [13184/49812]	Loss: 0.8728	LR: 0.020000
Training Epoch: 18 [13248/49812]	Loss: 0.9462	LR: 0.020000
Training Epoch: 18 [13312/49812]	Loss: 0.6755	LR: 0.020000
Training Epoch: 18 [13376/49812]	Loss: 0.8562	LR: 0.020000
Training Epoch: 18 [13440/49812]	Loss: 0.7243	LR: 0.020000
Training Epoch: 18 [13504/49812]	Loss: 0.8450	LR: 0.020000
Training Epoch: 18 [13568/49812]	Loss: 0.8556	LR: 0.020000
Training Epoch: 18 [13632/49812]	Loss: 0.7658	LR: 0.020000
Training Epoch: 18 [13696/49812]	Loss: 0.7569	LR: 0.020000
Training Epoch: 18 [13760/49812]	Loss: 0.6819	LR: 0.020000
Training Epoch: 18 [13824/49812]	Loss: 0.8097	LR: 0.020000
Training Epoch: 18 [13888/49812]	Loss: 0.7169	LR: 0.020000
Training Epoch: 18 [13952/49812]	Loss: 0.9814	LR: 0.020000
Training Epoch: 18 [14016/49812]	Loss: 0.7806	LR: 0.020000
Training Epoch: 18 [14080/49812]	Loss: 1.2873	LR: 0.020000
Training Epoch: 18 [14144/49812]	Loss: 0.7773	LR: 0.020000
Training Epoch: 18 [14208/49812]	Loss: 1.0006	LR: 0.020000
Training Epoch: 18 [14272/49812]	Loss: 0.9662	LR: 0.020000
Training Epoch: 18 [14336/49812]	Loss: 0.9193	LR: 0.020000
Training Epoch: 18 [14400/49812]	Loss: 0.9046	LR: 0.020000
Training Epoch: 18 [14464/49812]	Loss: 0.9406	LR: 0.020000
Training Epoch: 18 [14528/49812]	Loss: 0.7575	LR: 0.020000
Training Epoch: 18 [14592/49812]	Loss: 0.6204	LR: 0.020000
Training Epoch: 18 [14656/49812]	Loss: 0.6429	LR: 0.020000
Training Epoch: 18 [14720/49812]	Loss: 1.2775	LR: 0.020000
Training Epoch: 18 [14784/49812]	Loss: 1.2695	LR: 0.020000
Training Epoch: 18 [14848/49812]	Loss: 0.7218	LR: 0.020000
Training Epoch: 18 [14912/49812]	Loss: 0.8331	LR: 0.020000
Training Epoch: 18 [14976/49812]	Loss: 1.1708	LR: 0.020000
Training Epoch: 18 [15040/49812]	Loss: 0.9353	LR: 0.020000
Training Epoch: 18 [15104/49812]	Loss: 0.7599	LR: 0.020000
Training Epoch: 18 [15168/49812]	Loss: 0.8130	LR: 0.020000
Training Epoch: 18 [15232/49812]	Loss: 0.9470	LR: 0.020000
Training Epoch: 18 [15296/49812]	Loss: 1.1229	LR: 0.020000
Training Epoch: 18 [15360/49812]	Loss: 0.8719	LR: 0.020000
Training Epoch: 18 [15424/49812]	Loss: 0.8892	LR: 0.020000
Training Epoch: 18 [15488/49812]	Loss: 0.9038	LR: 0.020000
Training Epoch: 18 [15552/49812]	Loss: 0.9385	LR: 0.020000
Training Epoch: 18 [15616/49812]	Loss: 0.8323	LR: 0.020000
Training Epoch: 18 [15680/49812]	Loss: 0.6502	LR: 0.020000
Training Epoch: 18 [15744/49812]	Loss: 0.7997	LR: 0.020000
Training Epoch: 18 [15808/49812]	Loss: 1.0420	LR: 0.020000
Training Epoch: 18 [15872/49812]	Loss: 0.6489	LR: 0.020000
Training Epoch: 18 [15936/49812]	Loss: 0.9697	LR: 0.020000
Training Epoch: 18 [16000/49812]	Loss: 0.9167	LR: 0.020000
Training Epoch: 18 [16064/49812]	Loss: 1.0027	LR: 0.020000
Training Epoch: 18 [16128/49812]	Loss: 0.9556	LR: 0.020000
Training Epoch: 18 [16192/49812]	Loss: 0.8417	LR: 0.020000
Training Epoch: 18 [16256/49812]	Loss: 0.6236	LR: 0.020000
Training Epoch: 18 [16320/49812]	Loss: 0.8630	LR: 0.020000
Training Epoch: 18 [16384/49812]	Loss: 0.8897	LR: 0.020000
Training Epoch: 18 [16448/49812]	Loss: 0.9844	LR: 0.020000
Training Epoch: 18 [16512/49812]	Loss: 0.8077	LR: 0.020000
Training Epoch: 18 [16576/49812]	Loss: 0.7537	LR: 0.020000
Training Epoch: 18 [16640/49812]	Loss: 0.8380	LR: 0.020000
Training Epoch: 18 [16704/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 18 [16768/49812]	Loss: 1.0565	LR: 0.020000
Training Epoch: 18 [16832/49812]	Loss: 1.1028	LR: 0.020000
Training Epoch: 18 [16896/49812]	Loss: 1.1290	LR: 0.020000
Training Epoch: 18 [16960/49812]	Loss: 1.0318	LR: 0.020000
Training Epoch: 18 [17024/49812]	Loss: 0.9140	LR: 0.020000
Training Epoch: 18 [17088/49812]	Loss: 1.0877	LR: 0.020000
Training Epoch: 18 [17152/49812]	Loss: 0.6667	LR: 0.020000
Training Epoch: 18 [17216/49812]	Loss: 0.9239	LR: 0.020000
Training Epoch: 18 [17280/49812]	Loss: 1.0067	LR: 0.020000
Training Epoch: 18 [17344/49812]	Loss: 0.7616	LR: 0.020000
Training Epoch: 18 [17408/49812]	Loss: 0.7822	LR: 0.020000
Training Epoch: 18 [17472/49812]	Loss: 0.8460	LR: 0.020000
Training Epoch: 18 [17536/49812]	Loss: 0.9733	LR: 0.020000
Training Epoch: 18 [17600/49812]	Loss: 0.6616	LR: 0.020000
Training Epoch: 18 [17664/49812]	Loss: 0.6612	LR: 0.020000
Training Epoch: 18 [17728/49812]	Loss: 0.9463	LR: 0.020000
Training Epoch: 18 [17792/49812]	Loss: 1.0707	LR: 0.020000
Training Epoch: 18 [17856/49812]	Loss: 0.7657	LR: 0.020000
Training Epoch: 18 [17920/49812]	Loss: 0.9521	LR: 0.020000
Training Epoch: 18 [17984/49812]	Loss: 1.1599	LR: 0.020000
Training Epoch: 18 [18048/49812]	Loss: 0.9556	LR: 0.020000
Training Epoch: 18 [18112/49812]	Loss: 0.7012	LR: 0.020000
Training Epoch: 18 [18176/49812]	Loss: 0.7960	LR: 0.020000
Training Epoch: 18 [18240/49812]	Loss: 1.1826	LR: 0.020000
Training Epoch: 18 [18304/49812]	Loss: 0.8667	LR: 0.020000
Training Epoch: 18 [18368/49812]	Loss: 0.8121	LR: 0.020000
Training Epoch: 18 [18432/49812]	Loss: 1.0455	LR: 0.020000
Training Epoch: 18 [18496/49812]	Loss: 0.8291	LR: 0.020000
Training Epoch: 18 [18560/49812]	Loss: 0.7341	LR: 0.020000
Training Epoch: 18 [18624/49812]	Loss: 0.5157	LR: 0.020000
Training Epoch: 18 [18688/49812]	Loss: 0.8755	LR: 0.020000
Training Epoch: 18 [18752/49812]	Loss: 1.1797	LR: 0.020000
Training Epoch: 18 [18816/49812]	Loss: 0.8191	LR: 0.020000
Training Epoch: 18 [18880/49812]	Loss: 1.0342	LR: 0.020000
Training Epoch: 18 [18944/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 18 [19008/49812]	Loss: 0.6799	LR: 0.020000
Training Epoch: 18 [19072/49812]	Loss: 0.5793	LR: 0.020000
Training Epoch: 18 [19136/49812]	Loss: 0.9743	LR: 0.020000
Training Epoch: 18 [19200/49812]	Loss: 0.9395	LR: 0.020000
Training Epoch: 18 [19264/49812]	Loss: 0.9706	LR: 0.020000
Training Epoch: 18 [19328/49812]	Loss: 0.7232	LR: 0.020000
Training Epoch: 18 [19392/49812]	Loss: 0.7586	LR: 0.020000
Training Epoch: 18 [19456/49812]	Loss: 1.0083	LR: 0.020000
Training Epoch: 18 [19520/49812]	Loss: 0.8661	LR: 0.020000
Training Epoch: 18 [19584/49812]	Loss: 0.7866	LR: 0.020000
Training Epoch: 18 [19648/49812]	Loss: 0.7039	LR: 0.020000
Training Epoch: 18 [19712/49812]	Loss: 0.8457	LR: 0.020000
Training Epoch: 18 [19776/49812]	Loss: 0.7755	LR: 0.020000
Training Epoch: 18 [19840/49812]	Loss: 0.9198	LR: 0.020000
Training Epoch: 18 [19904/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 18 [19968/49812]	Loss: 0.7805	LR: 0.020000
Training Epoch: 18 [20032/49812]	Loss: 0.8061	LR: 0.020000
Training Epoch: 18 [20096/49812]	Loss: 1.1240	LR: 0.020000
Training Epoch: 18 [20160/49812]	Loss: 0.8957	LR: 0.020000
Training Epoch: 18 [20224/49812]	Loss: 0.7713	LR: 0.020000
Training Epoch: 18 [20288/49812]	Loss: 1.0594	LR: 0.020000
Training Epoch: 18 [20352/49812]	Loss: 0.8194	LR: 0.020000
Training Epoch: 18 [20416/49812]	Loss: 0.7838	LR: 0.020000
Training Epoch: 18 [20480/49812]	Loss: 0.8245	LR: 0.020000
Training Epoch: 18 [20544/49812]	Loss: 1.0641	LR: 0.020000
Training Epoch: 18 [20608/49812]	Loss: 0.9119	LR: 0.020000
Training Epoch: 18 [20672/49812]	Loss: 0.7392	LR: 0.020000
Training Epoch: 18 [20736/49812]	Loss: 0.9048	LR: 0.020000
Training Epoch: 18 [20800/49812]	Loss: 0.9480	LR: 0.020000
Training Epoch: 18 [20864/49812]	Loss: 0.9683	LR: 0.020000
Training Epoch: 18 [20928/49812]	Loss: 0.9446	LR: 0.020000
Training Epoch: 18 [20992/49812]	Loss: 0.7032	LR: 0.020000
Training Epoch: 18 [21056/49812]	Loss: 0.8500	LR: 0.020000
Training Epoch: 18 [21120/49812]	Loss: 0.5085	LR: 0.020000
Training Epoch: 18 [21184/49812]	Loss: 1.0470	LR: 0.020000
Training Epoch: 18 [21248/49812]	Loss: 0.9607	LR: 0.020000
Training Epoch: 18 [21312/49812]	Loss: 0.9526	LR: 0.020000
Training Epoch: 18 [21376/49812]	Loss: 0.9925	LR: 0.020000
Training Epoch: 18 [21440/49812]	Loss: 0.8611	LR: 0.020000
Training Epoch: 18 [21504/49812]	Loss: 0.6732	LR: 0.020000
Training Epoch: 18 [21568/49812]	Loss: 0.8058	LR: 0.020000
Training Epoch: 18 [21632/49812]	Loss: 0.8795	LR: 0.020000
Training Epoch: 18 [21696/49812]	Loss: 0.8059	LR: 0.020000
Training Epoch: 18 [21760/49812]	Loss: 0.9039	LR: 0.020000
Training Epoch: 18 [21824/49812]	Loss: 0.8812	LR: 0.020000
Training Epoch: 18 [21888/49812]	Loss: 0.7856	LR: 0.020000
Training Epoch: 18 [21952/49812]	Loss: 0.9869	LR: 0.020000
Training Epoch: 18 [22016/49812]	Loss: 0.9265	LR: 0.020000
Training Epoch: 18 [22080/49812]	Loss: 0.6524	LR: 0.020000
Training Epoch: 18 [22144/49812]	Loss: 0.9807	LR: 0.020000
Training Epoch: 18 [22208/49812]	Loss: 0.8258	LR: 0.020000
Training Epoch: 18 [22272/49812]	Loss: 0.9369	LR: 0.020000
Training Epoch: 18 [22336/49812]	Loss: 0.7645	LR: 0.020000
Training Epoch: 18 [22400/49812]	Loss: 1.0534	LR: 0.020000
Training Epoch: 18 [22464/49812]	Loss: 0.9554	LR: 0.020000
Training Epoch: 18 [22528/49812]	Loss: 0.9812	LR: 0.020000
Training Epoch: 18 [22592/49812]	Loss: 0.9079	LR: 0.020000
Training Epoch: 18 [22656/49812]	Loss: 1.0523	LR: 0.020000
Training Epoch: 18 [22720/49812]	Loss: 0.9412	LR: 0.020000
Training Epoch: 18 [22784/49812]	Loss: 0.8500	LR: 0.020000
Training Epoch: 18 [22848/49812]	Loss: 0.8938	LR: 0.020000
Training Epoch: 18 [22912/49812]	Loss: 0.9405	LR: 0.020000
Training Epoch: 18 [22976/49812]	Loss: 0.8214	LR: 0.020000
Training Epoch: 18 [23040/49812]	Loss: 0.6943	LR: 0.020000
Training Epoch: 18 [23104/49812]	Loss: 0.8893	LR: 0.020000
Training Epoch: 18 [23168/49812]	Loss: 0.7756	LR: 0.020000
Training Epoch: 18 [23232/49812]	Loss: 0.7744	LR: 0.020000
Training Epoch: 18 [23296/49812]	Loss: 0.7418	LR: 0.020000
Training Epoch: 18 [23360/49812]	Loss: 0.8955	LR: 0.020000
Training Epoch: 18 [23424/49812]	Loss: 1.0223	LR: 0.020000
Training Epoch: 18 [23488/49812]	Loss: 0.9116	LR: 0.020000
Training Epoch: 18 [23552/49812]	Loss: 0.9063	LR: 0.020000
Training Epoch: 18 [23616/49812]	Loss: 0.7573	LR: 0.020000
Training Epoch: 18 [23680/49812]	Loss: 1.1019	LR: 0.020000
Training Epoch: 18 [23744/49812]	Loss: 0.8429	LR: 0.020000
Training Epoch: 18 [23808/49812]	Loss: 0.9093	LR: 0.020000
Training Epoch: 18 [23872/49812]	Loss: 0.8483	LR: 0.020000
Training Epoch: 18 [23936/49812]	Loss: 0.7981	LR: 0.020000
Training Epoch: 18 [24000/49812]	Loss: 1.0319	LR: 0.020000
Training Epoch: 18 [24064/49812]	Loss: 0.9399	LR: 0.020000
Training Epoch: 18 [24128/49812]	Loss: 0.8475	LR: 0.020000
Training Epoch: 18 [24192/49812]	Loss: 0.8660	LR: 0.020000
Training Epoch: 18 [24256/49812]	Loss: 0.8287	LR: 0.020000
Training Epoch: 18 [24320/49812]	Loss: 0.7895	LR: 0.020000
Training Epoch: 18 [24384/49812]	Loss: 0.8606	LR: 0.020000
Training Epoch: 18 [24448/49812]	Loss: 0.8422	LR: 0.020000
Training Epoch: 18 [24512/49812]	Loss: 1.0779	LR: 0.020000
Training Epoch: 18 [24576/49812]	Loss: 0.9315	LR: 0.020000
Training Epoch: 18 [24640/49812]	Loss: 0.6791	LR: 0.020000
Training Epoch: 18 [24704/49812]	Loss: 0.9814	LR: 0.020000
Training Epoch: 18 [24768/49812]	Loss: 0.9336	LR: 0.020000
Training Epoch: 18 [24832/49812]	Loss: 0.7999	LR: 0.020000
Training Epoch: 18 [24896/49812]	Loss: 0.8686	LR: 0.020000
Training Epoch: 18 [24960/49812]	Loss: 0.9002	LR: 0.020000
Training Epoch: 18 [25024/49812]	Loss: 0.6757	LR: 0.020000
Training Epoch: 18 [25088/49812]	Loss: 0.9075	LR: 0.020000
Training Epoch: 18 [25152/49812]	Loss: 0.9160	LR: 0.020000
Training Epoch: 18 [25216/49812]	Loss: 0.8366	LR: 0.020000
Training Epoch: 18 [25280/49812]	Loss: 0.9100	LR: 0.020000
Training Epoch: 18 [25344/49812]	Loss: 0.8188	LR: 0.020000
Training Epoch: 18 [25408/49812]	Loss: 1.0030	LR: 0.020000
Training Epoch: 18 [25472/49812]	Loss: 0.8261	LR: 0.020000
Training Epoch: 18 [25536/49812]	Loss: 1.0400	LR: 0.020000
Training Epoch: 18 [25600/49812]	Loss: 1.1539	LR: 0.020000
Training Epoch: 18 [25664/49812]	Loss: 1.0896	LR: 0.020000
Training Epoch: 18 [25728/49812]	Loss: 1.0518	LR: 0.020000
Training Epoch: 18 [25792/49812]	Loss: 0.8548	LR: 0.020000
Training Epoch: 18 [25856/49812]	Loss: 0.9917	LR: 0.020000
Training Epoch: 18 [25920/49812]	Loss: 0.8919	LR: 0.020000
Training Epoch: 18 [25984/49812]	Loss: 0.7343	LR: 0.020000
Training Epoch: 18 [26048/49812]	Loss: 0.8732	LR: 0.020000
Training Epoch: 18 [26112/49812]	Loss: 1.1513	LR: 0.020000
Training Epoch: 18 [26176/49812]	Loss: 0.7050	LR: 0.020000
Training Epoch: 18 [26240/49812]	Loss: 0.6841	LR: 0.020000
Training Epoch: 18 [26304/49812]	Loss: 1.0662	LR: 0.020000
Training Epoch: 18 [26368/49812]	Loss: 1.0715	LR: 0.020000
Training Epoch: 18 [26432/49812]	Loss: 0.7033	LR: 0.020000
Training Epoch: 18 [26496/49812]	Loss: 0.7135	LR: 0.020000
Training Epoch: 18 [26560/49812]	Loss: 0.8000	LR: 0.020000
Training Epoch: 18 [26624/49812]	Loss: 1.0758	LR: 0.020000
Training Epoch: 18 [26688/49812]	Loss: 1.1295	LR: 0.020000
Training Epoch: 18 [26752/49812]	Loss: 0.8295	LR: 0.020000
Training Epoch: 18 [26816/49812]	Loss: 0.7654	LR: 0.020000
Training Epoch: 18 [26880/49812]	Loss: 0.9588	LR: 0.020000
Training Epoch: 18 [26944/49812]	Loss: 0.7659	LR: 0.020000
Training Epoch: 18 [27008/49812]	Loss: 0.9099	LR: 0.020000
Training Epoch: 18 [27072/49812]	Loss: 0.9513	LR: 0.020000
Training Epoch: 18 [27136/49812]	Loss: 1.0997	LR: 0.020000
Training Epoch: 18 [27200/49812]	Loss: 0.9316	LR: 0.020000
Training Epoch: 18 [27264/49812]	Loss: 0.8616	LR: 0.020000
Training Epoch: 18 [27328/49812]	Loss: 0.9891	LR: 0.020000
Training Epoch: 18 [27392/49812]	Loss: 0.9467	LR: 0.020000
Training Epoch: 18 [27456/49812]	Loss: 0.9262	LR: 0.020000
Training Epoch: 18 [27520/49812]	Loss: 0.7729	LR: 0.020000
Training Epoch: 18 [27584/49812]	Loss: 0.7066	LR: 0.020000
Training Epoch: 18 [27648/49812]	Loss: 0.9337	LR: 0.020000
Training Epoch: 18 [27712/49812]	Loss: 0.8132	LR: 0.020000
Training Epoch: 18 [27776/49812]	Loss: 0.8110	LR: 0.020000
Training Epoch: 18 [27840/49812]	Loss: 1.0948	LR: 0.020000
Training Epoch: 18 [27904/49812]	Loss: 0.7418	LR: 0.020000
Training Epoch: 18 [27968/49812]	Loss: 0.9095	LR: 0.020000
Training Epoch: 18 [28032/49812]	Loss: 1.1521	LR: 0.020000
Training Epoch: 18 [28096/49812]	Loss: 0.6730	LR: 0.020000
Training Epoch: 18 [28160/49812]	Loss: 0.9081	LR: 0.020000
Training Epoch: 18 [28224/49812]	Loss: 0.6165	LR: 0.020000
Training Epoch: 18 [28288/49812]	Loss: 0.7239	LR: 0.020000
Training Epoch: 18 [28352/49812]	Loss: 0.8805	LR: 0.020000
Training Epoch: 18 [28416/49812]	Loss: 0.7601	LR: 0.020000
Training Epoch: 18 [28480/49812]	Loss: 0.8303	LR: 0.020000
Training Epoch: 18 [28544/49812]	Loss: 1.0424	LR: 0.020000
Training Epoch: 18 [28608/49812]	Loss: 0.8309	LR: 0.020000
Training Epoch: 18 [28672/49812]	Loss: 0.9872	LR: 0.020000
Training Epoch: 18 [28736/49812]	Loss: 0.8136	LR: 0.020000
Training Epoch: 18 [28800/49812]	Loss: 0.8441	LR: 0.020000
Training Epoch: 18 [28864/49812]	Loss: 0.8856	LR: 0.020000
Training Epoch: 18 [28928/49812]	Loss: 0.8915	LR: 0.020000
Training Epoch: 18 [28992/49812]	Loss: 0.8465	LR: 0.020000
Training Epoch: 18 [29056/49812]	Loss: 1.0309	LR: 0.020000
Training Epoch: 18 [29120/49812]	Loss: 0.8816	LR: 0.020000
Training Epoch: 18 [29184/49812]	Loss: 0.7779	LR: 0.020000
Training Epoch: 18 [29248/49812]	Loss: 0.8894	LR: 0.020000
Training Epoch: 18 [29312/49812]	Loss: 0.8239	LR: 0.020000
Training Epoch: 18 [29376/49812]	Loss: 0.7557	LR: 0.020000
Training Epoch: 18 [29440/49812]	Loss: 0.7240	LR: 0.020000
Training Epoch: 18 [29504/49812]	Loss: 0.9087	LR: 0.020000
Training Epoch: 18 [29568/49812]	Loss: 0.8910	LR: 0.020000
Training Epoch: 18 [29632/49812]	Loss: 0.7454	LR: 0.020000
Training Epoch: 18 [29696/49812]	Loss: 0.5745	LR: 0.020000
Training Epoch: 18 [29760/49812]	Loss: 0.8338	LR: 0.020000
Training Epoch: 18 [29824/49812]	Loss: 1.1183	LR: 0.020000
Training Epoch: 18 [29888/49812]	Loss: 1.1804	LR: 0.020000
Training Epoch: 18 [29952/49812]	Loss: 0.9584	LR: 0.020000
Training Epoch: 18 [30016/49812]	Loss: 0.9148	LR: 0.020000
Training Epoch: 18 [30080/49812]	Loss: 0.6550	LR: 0.020000
Training Epoch: 18 [30144/49812]	Loss: 0.8655	LR: 0.020000
Training Epoch: 18 [30208/49812]	Loss: 0.8617	LR: 0.020000
Training Epoch: 18 [30272/49812]	Loss: 0.7879	LR: 0.020000
Training Epoch: 18 [30336/49812]	Loss: 0.8829	LR: 0.020000
Training Epoch: 18 [30400/49812]	Loss: 1.0181	LR: 0.020000
Training Epoch: 18 [30464/49812]	Loss: 0.9510	LR: 0.020000
Training Epoch: 18 [30528/49812]	Loss: 1.3252	LR: 0.020000
Training Epoch: 18 [30592/49812]	Loss: 0.9898	LR: 0.020000
Training Epoch: 18 [30656/49812]	Loss: 0.8146	LR: 0.020000
Training Epoch: 18 [30720/49812]	Loss: 0.7456	LR: 0.020000
Training Epoch: 18 [30784/49812]	Loss: 1.1684	LR: 0.020000
Training Epoch: 18 [30848/49812]	Loss: 0.9822	LR: 0.020000
Training Epoch: 18 [30912/49812]	Loss: 0.8022	LR: 0.020000
Training Epoch: 18 [30976/49812]	Loss: 0.9906	LR: 0.020000
Training Epoch: 18 [31040/49812]	Loss: 0.7282	LR: 0.020000
Training Epoch: 18 [31104/49812]	Loss: 1.0420	LR: 0.020000
Training Epoch: 18 [31168/49812]	Loss: 0.9091	LR: 0.020000
Training Epoch: 18 [31232/49812]	Loss: 0.8472	LR: 0.020000
Training Epoch: 18 [31296/49812]	Loss: 0.4735	LR: 0.020000
Training Epoch: 18 [31360/49812]	Loss: 0.9507	LR: 0.020000
Training Epoch: 18 [31424/49812]	Loss: 0.8559	LR: 0.020000
Training Epoch: 18 [31488/49812]	Loss: 0.9723	LR: 0.020000
Training Epoch: 18 [31552/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 18 [31616/49812]	Loss: 1.1524	LR: 0.020000
Training Epoch: 18 [31680/49812]	Loss: 0.9659	LR: 0.020000
Training Epoch: 18 [31744/49812]	Loss: 0.9456	LR: 0.020000
Training Epoch: 18 [31808/49812]	Loss: 0.6274	LR: 0.020000
Training Epoch: 18 [31872/49812]	Loss: 0.9191	LR: 0.020000
Training Epoch: 18 [31936/49812]	Loss: 0.8958	LR: 0.020000
Training Epoch: 18 [32000/49812]	Loss: 0.8365	LR: 0.020000
Training Epoch: 18 [32064/49812]	Loss: 1.0291	LR: 0.020000
Training Epoch: 18 [32128/49812]	Loss: 0.9138	LR: 0.020000
Training Epoch: 18 [32192/49812]	Loss: 0.9408	LR: 0.020000
Training Epoch: 18 [32256/49812]	Loss: 0.9848	LR: 0.020000
Training Epoch: 18 [32320/49812]	Loss: 0.9186	LR: 0.020000
Training Epoch: 18 [32384/49812]	Loss: 0.9411	LR: 0.020000
Training Epoch: 18 [32448/49812]	Loss: 0.7594	LR: 0.020000
Training Epoch: 18 [32512/49812]	Loss: 1.0987	LR: 0.020000
Training Epoch: 18 [32576/49812]	Loss: 0.8302	LR: 0.020000
Training Epoch: 18 [32640/49812]	Loss: 0.6287	LR: 0.020000
Training Epoch: 18 [32704/49812]	Loss: 0.8492	LR: 0.020000
Training Epoch: 18 [32768/49812]	Loss: 0.7908	LR: 0.020000
Training Epoch: 18 [32832/49812]	Loss: 0.8141	LR: 0.020000
Training Epoch: 18 [32896/49812]	Loss: 0.9974	LR: 0.020000
Training Epoch: 18 [32960/49812]	Loss: 0.7496	LR: 0.020000
Training Epoch: 18 [33024/49812]	Loss: 0.7510	LR: 0.020000
Training Epoch: 18 [33088/49812]	Loss: 0.7851	LR: 0.020000
Training Epoch: 18 [33152/49812]	Loss: 0.7990	LR: 0.020000
Training Epoch: 18 [33216/49812]	Loss: 1.0841	LR: 0.020000
Training Epoch: 18 [33280/49812]	Loss: 0.7293	LR: 0.020000
Training Epoch: 18 [33344/49812]	Loss: 1.0624	LR: 0.020000
Training Epoch: 18 [33408/49812]	Loss: 0.7224	LR: 0.020000
Training Epoch: 18 [33472/49812]	Loss: 0.9502	LR: 0.020000
Training Epoch: 18 [33536/49812]	Loss: 0.9547	LR: 0.020000
Training Epoch: 18 [33600/49812]	Loss: 0.9643	LR: 0.020000
Training Epoch: 18 [33664/49812]	Loss: 0.7974	LR: 0.020000
Training Epoch: 18 [33728/49812]	Loss: 0.9833	LR: 0.020000
Training Epoch: 18 [33792/49812]	Loss: 0.7889	LR: 0.020000
Training Epoch: 18 [33856/49812]	Loss: 0.6718	LR: 0.020000
Training Epoch: 18 [33920/49812]	Loss: 0.9494	LR: 0.020000
Training Epoch: 18 [33984/49812]	Loss: 1.0609	LR: 0.020000
Training Epoch: 18 [34048/49812]	Loss: 0.8789	LR: 0.020000
Training Epoch: 18 [34112/49812]	Loss: 0.7077	LR: 0.020000
Training Epoch: 18 [34176/49812]	Loss: 0.8843	LR: 0.020000
Training Epoch: 18 [34240/49812]	Loss: 0.7672	LR: 0.020000
Training Epoch: 18 [34304/49812]	Loss: 1.0434	LR: 0.020000
Training Epoch: 18 [34368/49812]	Loss: 0.8004	LR: 0.020000
Training Epoch: 18 [34432/49812]	Loss: 0.7469	LR: 0.020000
Training Epoch: 18 [34496/49812]	Loss: 1.0979	LR: 0.020000
Training Epoch: 18 [34560/49812]	Loss: 0.6719	LR: 0.020000
Training Epoch: 18 [34624/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 18 [34688/49812]	Loss: 0.8977	LR: 0.020000
Training Epoch: 18 [34752/49812]	Loss: 1.1357	LR: 0.020000
Training Epoch: 18 [34816/49812]	Loss: 1.1145	LR: 0.020000
Training Epoch: 18 [34880/49812]	Loss: 0.9812	LR: 0.020000
Training Epoch: 18 [34944/49812]	Loss: 0.6783	LR: 0.020000
Training Epoch: 18 [35008/49812]	Loss: 0.7002	LR: 0.020000
Training Epoch: 18 [35072/49812]	Loss: 0.6474	LR: 0.020000
Training Epoch: 18 [35136/49812]	Loss: 0.9148	LR: 0.020000
Training Epoch: 18 [35200/49812]	Loss: 1.0562	LR: 0.020000
Training Epoch: 18 [35264/49812]	Loss: 0.9944	LR: 0.020000
Training Epoch: 18 [35328/49812]	Loss: 0.7889	LR: 0.020000
Training Epoch: 18 [35392/49812]	Loss: 0.9536	LR: 0.020000
Training Epoch: 18 [35456/49812]	Loss: 0.9877	LR: 0.020000
Training Epoch: 18 [35520/49812]	Loss: 0.8026	LR: 0.020000
Training Epoch: 18 [35584/49812]	Loss: 0.6906	LR: 0.020000
Training Epoch: 18 [35648/49812]	Loss: 0.8923	LR: 0.020000
Training Epoch: 18 [35712/49812]	Loss: 0.7642	LR: 0.020000
Training Epoch: 18 [35776/49812]	Loss: 0.8241	LR: 0.020000
Training Epoch: 18 [35840/49812]	Loss: 0.8152	LR: 0.020000
Training Epoch: 18 [35904/49812]	Loss: 0.7232	LR: 0.020000
Training Epoch: 18 [35968/49812]	Loss: 0.6890	LR: 0.020000
Training Epoch: 18 [36032/49812]	Loss: 0.8983	LR: 0.020000
Training Epoch: 18 [36096/49812]	Loss: 0.7872	LR: 0.020000
Training Epoch: 18 [36160/49812]	Loss: 0.9059	LR: 0.020000
Training Epoch: 18 [36224/49812]	Loss: 0.9996	LR: 0.020000
Training Epoch: 18 [36288/49812]	Loss: 0.9053	LR: 0.020000
Training Epoch: 18 [36352/49812]	Loss: 0.9144	LR: 0.020000
Training Epoch: 18 [36416/49812]	Loss: 1.0840	LR: 0.020000
Training Epoch: 18 [36480/49812]	Loss: 0.8427	LR: 0.020000
Training Epoch: 18 [36544/49812]	Loss: 0.9157	LR: 0.020000
Training Epoch: 18 [36608/49812]	Loss: 0.8643	LR: 0.020000
Training Epoch: 18 [36672/49812]	Loss: 0.8115	LR: 0.020000
Training Epoch: 18 [36736/49812]	Loss: 0.8979	LR: 0.020000
Training Epoch: 18 [36800/49812]	Loss: 0.6692	LR: 0.020000
Training Epoch: 18 [36864/49812]	Loss: 0.8834	LR: 0.020000
Training Epoch: 18 [36928/49812]	Loss: 0.9222	LR: 0.020000
Training Epoch: 18 [36992/49812]	Loss: 0.9181	LR: 0.020000
Training Epoch: 18 [37056/49812]	Loss: 0.8691	LR: 0.020000
Training Epoch: 18 [37120/49812]	Loss: 0.8077	LR: 0.020000
Training Epoch: 18 [37184/49812]	Loss: 0.9904	LR: 0.020000
Training Epoch: 18 [37248/49812]	Loss: 1.3099	LR: 0.020000
Training Epoch: 18 [37312/49812]	Loss: 0.6685	LR: 0.020000
Training Epoch: 18 [37376/49812]	Loss: 0.8592	LR: 0.020000
Training Epoch: 18 [37440/49812]	Loss: 0.9794	LR: 0.020000
Training Epoch: 18 [37504/49812]	Loss: 0.9318	LR: 0.020000
Training Epoch: 18 [37568/49812]	Loss: 1.0555	LR: 0.020000
Training Epoch: 18 [37632/49812]	Loss: 0.9083	LR: 0.020000
Training Epoch: 18 [37696/49812]	Loss: 1.2054	LR: 0.020000
Training Epoch: 18 [37760/49812]	Loss: 1.0010	LR: 0.020000
Training Epoch: 18 [37824/49812]	Loss: 1.0896	LR: 0.020000
Training Epoch: 18 [37888/49812]	Loss: 0.6152	LR: 0.020000
Training Epoch: 18 [37952/49812]	Loss: 0.9162	LR: 0.020000
Training Epoch: 18 [38016/49812]	Loss: 0.6896	LR: 0.020000
Training Epoch: 18 [38080/49812]	Loss: 0.7374	LR: 0.020000
Training Epoch: 18 [38144/49812]	Loss: 0.8293	LR: 0.020000
Training Epoch: 18 [38208/49812]	Loss: 0.7530	LR: 0.020000
Training Epoch: 18 [38272/49812]	Loss: 0.8540	LR: 0.020000
Training Epoch: 18 [38336/49812]	Loss: 0.8872	LR: 0.020000
Training Epoch: 18 [38400/49812]	Loss: 0.7616	LR: 0.020000
Training Epoch: 18 [38464/49812]	Loss: 0.7927	LR: 0.020000
Training Epoch: 18 [38528/49812]	Loss: 0.9058	LR: 0.020000
Training Epoch: 18 [38592/49812]	Loss: 1.0118	LR: 0.020000
Training Epoch: 18 [38656/49812]	Loss: 0.8907	LR: 0.020000
Training Epoch: 18 [38720/49812]	Loss: 1.0322	LR: 0.020000
Training Epoch: 18 [38784/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 18 [38848/49812]	Loss: 0.7281	LR: 0.020000
Training Epoch: 18 [38912/49812]	Loss: 1.0623	LR: 0.020000
Training Epoch: 18 [38976/49812]	Loss: 0.8990	LR: 0.020000
Training Epoch: 18 [39040/49812]	Loss: 0.8914	LR: 0.020000
Training Epoch: 18 [39104/49812]	Loss: 1.2115	LR: 0.020000
Training Epoch: 18 [39168/49812]	Loss: 0.8629	LR: 0.020000
Training Epoch: 18 [39232/49812]	Loss: 1.0679	LR: 0.020000
Training Epoch: 18 [39296/49812]	Loss: 0.9334	LR: 0.020000
Training Epoch: 18 [39360/49812]	Loss: 0.8146	LR: 0.020000
Training Epoch: 18 [39424/49812]	Loss: 0.9299	LR: 0.020000
Training Epoch: 18 [39488/49812]	Loss: 0.8832	LR: 0.020000
Training Epoch: 18 [39552/49812]	Loss: 0.7389	LR: 0.020000
Training Epoch: 18 [39616/49812]	Loss: 1.0563	LR: 0.020000
Training Epoch: 18 [39680/49812]	Loss: 0.9560	LR: 0.020000
Training Epoch: 18 [39744/49812]	Loss: 0.8390	LR: 0.020000
Training Epoch: 18 [39808/49812]	Loss: 1.1677	LR: 0.020000
Training Epoch: 18 [39872/49812]	Loss: 0.8233	LR: 0.020000
Training Epoch: 18 [39936/49812]	Loss: 0.9956	LR: 0.020000
Training Epoch: 18 [40000/49812]	Loss: 0.9998	LR: 0.020000
Training Epoch: 18 [40064/49812]	Loss: 0.8915	LR: 0.020000
Training Epoch: 18 [40128/49812]	Loss: 0.8703	LR: 0.020000
Training Epoch: 18 [40192/49812]	Loss: 0.7490	LR: 0.020000
Training Epoch: 18 [40256/49812]	Loss: 0.9616	LR: 0.020000
Training Epoch: 18 [40320/49812]	Loss: 0.5331	LR: 0.020000
Training Epoch: 18 [40384/49812]	Loss: 1.1106	LR: 0.020000
Training Epoch: 18 [40448/49812]	Loss: 0.9992	LR: 0.020000
Training Epoch: 18 [40512/49812]	Loss: 0.7754	LR: 0.020000
Training Epoch: 18 [40576/49812]	Loss: 0.6516	LR: 0.020000
Training Epoch: 18 [40640/49812]	Loss: 0.7205	LR: 0.020000
Training Epoch: 18 [40704/49812]	Loss: 0.9566	LR: 0.020000
Training Epoch: 18 [40768/49812]	Loss: 0.7938	LR: 0.020000
Training Epoch: 18 [40832/49812]	Loss: 0.6451	LR: 0.020000
Training Epoch: 18 [40896/49812]	Loss: 1.1944	LR: 0.020000
Training Epoch: 18 [40960/49812]	Loss: 0.8184	LR: 0.020000
Training Epoch: 18 [41024/49812]	Loss: 1.1487	LR: 0.020000
Training Epoch: 18 [41088/49812]	Loss: 1.1036	LR: 0.020000
Training Epoch: 18 [41152/49812]	Loss: 1.2106	LR: 0.020000
Training Epoch: 18 [41216/49812]	Loss: 0.6597	LR: 0.020000
Training Epoch: 18 [41280/49812]	Loss: 0.7655	LR: 0.020000
Training Epoch: 18 [41344/49812]	Loss: 0.5858	LR: 0.020000
Training Epoch: 18 [41408/49812]	Loss: 0.7254	LR: 0.020000
Training Epoch: 18 [41472/49812]	Loss: 0.7653	LR: 0.020000
Training Epoch: 18 [41536/49812]	Loss: 0.8715	LR: 0.020000
Training Epoch: 18 [41600/49812]	Loss: 0.6796	LR: 0.020000
Training Epoch: 18 [41664/49812]	Loss: 0.9513	LR: 0.020000
Training Epoch: 18 [41728/49812]	Loss: 0.7533	LR: 0.020000
Training Epoch: 18 [41792/49812]	Loss: 0.9706	LR: 0.020000
Training Epoch: 18 [41856/49812]	Loss: 0.7978	LR: 0.020000
Training Epoch: 18 [41920/49812]	Loss: 0.8164	LR: 0.020000
Training Epoch: 18 [41984/49812]	Loss: 0.8751	LR: 0.020000
Training Epoch: 18 [42048/49812]	Loss: 0.9626	LR: 0.020000
Training Epoch: 18 [42112/49812]	Loss: 0.7789	LR: 0.020000
Training Epoch: 18 [42176/49812]	Loss: 0.8238	LR: 0.020000
Training Epoch: 18 [42240/49812]	Loss: 0.8761	LR: 0.020000
Training Epoch: 18 [42304/49812]	Loss: 1.0316	LR: 0.020000
Training Epoch: 18 [42368/49812]	Loss: 1.2360	LR: 0.020000
Training Epoch: 18 [42432/49812]	Loss: 0.6804	LR: 0.020000
Training Epoch: 18 [42496/49812]	Loss: 0.7427	LR: 0.020000
Training Epoch: 18 [42560/49812]	Loss: 0.9543	LR: 0.020000
Training Epoch: 18 [42624/49812]	Loss: 0.8951	LR: 0.020000
Training Epoch: 18 [42688/49812]	Loss: 0.9546	LR: 0.020000
Training Epoch: 18 [42752/49812]	Loss: 0.8814	LR: 0.020000
Training Epoch: 18 [42816/49812]	Loss: 0.8455	LR: 0.020000
Training Epoch: 18 [42880/49812]	Loss: 0.8971	LR: 0.020000
Training Epoch: 18 [42944/49812]	Loss: 0.6507	LR: 0.020000
Training Epoch: 18 [43008/49812]	Loss: 0.6954	LR: 0.020000
Training Epoch: 18 [43072/49812]	Loss: 0.7788	LR: 0.020000
Training Epoch: 18 [43136/49812]	Loss: 0.7047	LR: 0.020000
Training Epoch: 18 [43200/49812]	Loss: 0.9980	LR: 0.020000
Training Epoch: 18 [43264/49812]	Loss: 0.7999	LR: 0.020000
Training Epoch: 18 [43328/49812]	Loss: 1.1577	LR: 0.020000
Training Epoch: 18 [43392/49812]	Loss: 0.6958	LR: 0.020000
Training Epoch: 18 [43456/49812]	Loss: 0.9501	LR: 0.020000
Training Epoch: 18 [43520/49812]	Loss: 0.9800	LR: 0.020000
Training Epoch: 18 [43584/49812]	Loss: 1.0762	LR: 0.020000
Training Epoch: 18 [43648/49812]	Loss: 0.6540	LR: 0.020000
Training Epoch: 18 [43712/49812]	Loss: 0.7203	LR: 0.020000
Training Epoch: 18 [43776/49812]	Loss: 0.9194	LR: 0.020000
Training Epoch: 18 [43840/49812]	Loss: 0.9480	LR: 0.020000
Training Epoch: 18 [43904/49812]	Loss: 0.8240	LR: 0.020000
Training Epoch: 18 [43968/49812]	Loss: 0.8822	LR: 0.020000
Training Epoch: 18 [44032/49812]	Loss: 0.8532	LR: 0.020000
Training Epoch: 18 [44096/49812]	Loss: 0.7675	LR: 0.020000
Training Epoch: 18 [44160/49812]	Loss: 1.0665	LR: 0.020000
Training Epoch: 18 [44224/49812]	Loss: 1.1255	LR: 0.020000
Training Epoch: 18 [44288/49812]	Loss: 0.8516	LR: 0.020000
Training Epoch: 18 [44352/49812]	Loss: 0.7034	LR: 0.020000
Training Epoch: 18 [44416/49812]	Loss: 0.9020	LR: 0.020000
Training Epoch: 18 [44480/49812]	Loss: 0.6686	LR: 0.020000
Training Epoch: 18 [44544/49812]	Loss: 0.9359	LR: 0.020000
Training Epoch: 18 [44608/49812]	Loss: 0.9604	LR: 0.020000
Training Epoch: 18 [44672/49812]	Loss: 0.6815	LR: 0.020000
Training Epoch: 18 [44736/49812]	Loss: 0.7523	LR: 0.020000
Training Epoch: 18 [44800/49812]	Loss: 1.1414	LR: 0.020000
Training Epoch: 18 [44864/49812]	Loss: 0.7368	LR: 0.020000
Training Epoch: 18 [44928/49812]	Loss: 0.9063	LR: 0.020000
Training Epoch: 18 [44992/49812]	Loss: 0.6957	LR: 0.020000
Training Epoch: 18 [45056/49812]	Loss: 0.8414	LR: 0.020000
Training Epoch: 18 [45120/49812]	Loss: 0.8697	LR: 0.020000
Training Epoch: 18 [45184/49812]	Loss: 0.7666	LR: 0.020000
Training Epoch: 18 [45248/49812]	Loss: 1.0572	LR: 0.020000
Training Epoch: 18 [45312/49812]	Loss: 0.9737	LR: 0.020000
Training Epoch: 18 [45376/49812]	Loss: 0.7994	LR: 0.020000
Training Epoch: 18 [45440/49812]	Loss: 1.0470	LR: 0.020000
Training Epoch: 18 [45504/49812]	Loss: 0.7201	LR: 0.020000
Training Epoch: 18 [45568/49812]	Loss: 0.8491	LR: 0.020000
Training Epoch: 18 [45632/49812]	Loss: 0.7564	LR: 0.020000
Training Epoch: 18 [45696/49812]	Loss: 0.9046	LR: 0.020000
Training Epoch: 18 [45760/49812]	Loss: 0.9278	LR: 0.020000
Training Epoch: 18 [45824/49812]	Loss: 1.1014	LR: 0.020000
Training Epoch: 18 [45888/49812]	Loss: 0.9676	LR: 0.020000
Training Epoch: 18 [45952/49812]	Loss: 0.8588	LR: 0.020000
Training Epoch: 18 [46016/49812]	Loss: 0.7932	LR: 0.020000
Training Epoch: 18 [46080/49812]	Loss: 0.6360	LR: 0.020000
Training Epoch: 18 [46144/49812]	Loss: 1.1956	LR: 0.020000
Training Epoch: 18 [46208/49812]	Loss: 0.8105	LR: 0.020000
Training Epoch: 18 [46272/49812]	Loss: 0.7004	LR: 0.020000
Training Epoch: 18 [46336/49812]	Loss: 1.0608	LR: 0.020000
Training Epoch: 18 [46400/49812]	Loss: 1.0050	LR: 0.020000
Training Epoch: 18 [46464/49812]	Loss: 0.7335	LR: 0.020000
Training Epoch: 18 [46528/49812]	Loss: 0.6844	LR: 0.020000
Training Epoch: 18 [46592/49812]	Loss: 0.9575	LR: 0.020000
Training Epoch: 18 [46656/49812]	Loss: 0.9798	LR: 0.020000
Training Epoch: 18 [46720/49812]	Loss: 0.7226	LR: 0.020000
Training Epoch: 18 [46784/49812]	Loss: 0.9177	LR: 0.020000
Training Epoch: 18 [46848/49812]	Loss: 0.7708	LR: 0.020000
Training Epoch: 18 [46912/49812]	Loss: 0.7324	LR: 0.020000
Training Epoch: 18 [46976/49812]	Loss: 0.7026	LR: 0.020000
Training Epoch: 18 [47040/49812]	Loss: 0.7306	LR: 0.020000
Training Epoch: 18 [47104/49812]	Loss: 0.7678	LR: 0.020000
Training Epoch: 18 [47168/49812]	Loss: 1.0310	LR: 0.020000
Training Epoch: 18 [47232/49812]	Loss: 1.0337	LR: 0.020000
Training Epoch: 18 [47296/49812]	Loss: 0.9279	LR: 0.020000
Training Epoch: 18 [47360/49812]	Loss: 0.6346	LR: 0.020000
Training Epoch: 18 [47424/49812]	Loss: 0.7249	LR: 0.020000
Training Epoch: 18 [47488/49812]	Loss: 0.6792	LR: 0.020000
Training Epoch: 18 [47552/49812]	Loss: 0.7295	LR: 0.020000
Training Epoch: 18 [47616/49812]	Loss: 0.9504	LR: 0.020000
Training Epoch: 18 [47680/49812]	Loss: 0.7036	LR: 0.020000
Training Epoch: 18 [47744/49812]	Loss: 0.8069	LR: 0.020000
Training Epoch: 18 [47808/49812]	Loss: 0.8927	LR: 0.020000
Training Epoch: 18 [47872/49812]	Loss: 1.0181	LR: 0.020000
Training Epoch: 18 [47936/49812]	Loss: 0.8897	LR: 0.020000
Training Epoch: 18 [48000/49812]	Loss: 1.0149	LR: 0.020000
Training Epoch: 18 [48064/49812]	Loss: 0.8267	LR: 0.020000
Training Epoch: 18 [48128/49812]	Loss: 1.1349	LR: 0.020000
Training Epoch: 18 [48192/49812]	Loss: 0.7749	LR: 0.020000
Training Epoch: 18 [48256/49812]	Loss: 0.8668	LR: 0.020000
Training Epoch: 18 [48320/49812]	Loss: 0.8944	LR: 0.020000
Training Epoch: 18 [48384/49812]	Loss: 0.9959	LR: 0.020000
Training Epoch: 18 [48448/49812]	Loss: 0.7644	LR: 0.020000
Training Epoch: 18 [48512/49812]	Loss: 0.8984	LR: 0.020000
Training Epoch: 18 [48576/49812]	Loss: 0.7852	LR: 0.020000
Training Epoch: 18 [48640/49812]	Loss: 0.7495	LR: 0.020000
Training Epoch: 18 [48704/49812]	Loss: 0.8144	LR: 0.020000
Training Epoch: 18 [48768/49812]	Loss: 0.8959	LR: 0.020000
Training Epoch: 18 [48832/49812]	Loss: 1.1603	LR: 0.020000
Training Epoch: 18 [48896/49812]	Loss: 0.8349	LR: 0.020000
Training Epoch: 18 [48960/49812]	Loss: 0.8060	LR: 0.020000
Training Epoch: 18 [49024/49812]	Loss: 0.8258	LR: 0.020000
Training Epoch: 18 [49088/49812]	Loss: 0.6389	LR: 0.020000
Training Epoch: 18 [49152/49812]	Loss: 0.7375	LR: 0.020000
Training Epoch: 18 [49216/49812]	Loss: 0.8530	LR: 0.020000
Training Epoch: 18 [49280/49812]	Loss: 0.8307	LR: 0.020000
Training Epoch: 18 [49344/49812]	Loss: 0.9179	LR: 0.020000
Training Epoch: 18 [49408/49812]	Loss: 0.7262	LR: 0.020000
Training Epoch: 18 [49472/49812]	Loss: 0.7186	LR: 0.020000
Training Epoch: 18 [49536/49812]	Loss: 0.7104	LR: 0.020000
Training Epoch: 18 [49600/49812]	Loss: 0.9865	LR: 0.020000
Training Epoch: 18 [49664/49812]	Loss: 0.9277	LR: 0.020000
Training Epoch: 18 [49728/49812]	Loss: 0.9325	LR: 0.020000
Training Epoch: 18 [49792/49812]	Loss: 0.7003	LR: 0.020000
Training Epoch: 18 [49812/49812]	Loss: 1.0970	LR: 0.020000
Epoch 18 - Average Train Loss: 0.8700, Train Accuracy: 0.7221
Epoch 18 training time consumed: 264.05s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0152, Accuracy: 0.6992, Time consumed:17.30s
Training Epoch: 19 [64/49812]	Loss: 1.0269	LR: 0.020000
Training Epoch: 19 [128/49812]	Loss: 0.5930	LR: 0.020000
Training Epoch: 19 [192/49812]	Loss: 0.7209	LR: 0.020000
Training Epoch: 19 [256/49812]	Loss: 0.7204	LR: 0.020000
Training Epoch: 19 [320/49812]	Loss: 0.6926	LR: 0.020000
Training Epoch: 19 [384/49812]	Loss: 0.6942	LR: 0.020000
Training Epoch: 19 [448/49812]	Loss: 0.9714	LR: 0.020000
Training Epoch: 19 [512/49812]	Loss: 0.8435	LR: 0.020000
Training Epoch: 19 [576/49812]	Loss: 0.7585	LR: 0.020000
Training Epoch: 19 [640/49812]	Loss: 0.9149	LR: 0.020000
Training Epoch: 19 [704/49812]	Loss: 0.8472	LR: 0.020000
Training Epoch: 19 [768/49812]	Loss: 0.5145	LR: 0.020000
Training Epoch: 19 [832/49812]	Loss: 1.1207	LR: 0.020000
Training Epoch: 19 [896/49812]	Loss: 0.6783	LR: 0.020000
Training Epoch: 19 [960/49812]	Loss: 0.8873	LR: 0.020000
Training Epoch: 19 [1024/49812]	Loss: 0.9860	LR: 0.020000
Training Epoch: 19 [1088/49812]	Loss: 0.8045	LR: 0.020000
Training Epoch: 19 [1152/49812]	Loss: 0.8837	LR: 0.020000
Training Epoch: 19 [1216/49812]	Loss: 1.0704	LR: 0.020000
Training Epoch: 19 [1280/49812]	Loss: 0.6504	LR: 0.020000
Training Epoch: 19 [1344/49812]	Loss: 0.7447	LR: 0.020000
Training Epoch: 19 [1408/49812]	Loss: 0.7045	LR: 0.020000
Training Epoch: 19 [1472/49812]	Loss: 0.6733	LR: 0.020000
Training Epoch: 19 [1536/49812]	Loss: 0.8611	LR: 0.020000
Training Epoch: 19 [1600/49812]	Loss: 0.7870	LR: 0.020000
Training Epoch: 19 [1664/49812]	Loss: 0.7407	LR: 0.020000
Training Epoch: 19 [1728/49812]	Loss: 0.8240	LR: 0.020000
Training Epoch: 19 [1792/49812]	Loss: 0.8124	LR: 0.020000
Training Epoch: 19 [1856/49812]	Loss: 0.7106	LR: 0.020000
Training Epoch: 19 [1920/49812]	Loss: 0.6402	LR: 0.020000
Training Epoch: 19 [1984/49812]	Loss: 0.7156	LR: 0.020000
Training Epoch: 19 [2048/49812]	Loss: 0.8771	LR: 0.020000
Training Epoch: 19 [2112/49812]	Loss: 1.0133	LR: 0.020000
Training Epoch: 19 [2176/49812]	Loss: 0.8581	LR: 0.020000
Training Epoch: 19 [2240/49812]	Loss: 1.1127	LR: 0.020000
Training Epoch: 19 [2304/49812]	Loss: 0.7043	LR: 0.020000
Training Epoch: 19 [2368/49812]	Loss: 0.9113	LR: 0.020000
Training Epoch: 19 [2432/49812]	Loss: 0.9357	LR: 0.020000
Training Epoch: 19 [2496/49812]	Loss: 0.8459	LR: 0.020000
Training Epoch: 19 [2560/49812]	Loss: 0.7380	LR: 0.020000
Training Epoch: 19 [2624/49812]	Loss: 1.0582	LR: 0.020000
Training Epoch: 19 [2688/49812]	Loss: 0.6397	LR: 0.020000
Training Epoch: 19 [2752/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 19 [2816/49812]	Loss: 0.6465	LR: 0.020000
Training Epoch: 19 [2880/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 19 [2944/49812]	Loss: 0.7045	LR: 0.020000
Training Epoch: 19 [3008/49812]	Loss: 0.5668	LR: 0.020000
Training Epoch: 19 [3072/49812]	Loss: 1.0139	LR: 0.020000
Training Epoch: 19 [3136/49812]	Loss: 0.8068	LR: 0.020000
Training Epoch: 19 [3200/49812]	Loss: 0.7229	LR: 0.020000
Training Epoch: 19 [3264/49812]	Loss: 0.9470	LR: 0.020000
Training Epoch: 19 [3328/49812]	Loss: 1.1173	LR: 0.020000
Training Epoch: 19 [3392/49812]	Loss: 0.8850	LR: 0.020000
Training Epoch: 19 [3456/49812]	Loss: 1.1560	LR: 0.020000
Training Epoch: 19 [3520/49812]	Loss: 0.7582	LR: 0.020000
Training Epoch: 19 [3584/49812]	Loss: 0.7398	LR: 0.020000
Training Epoch: 19 [3648/49812]	Loss: 0.8610	LR: 0.020000
Training Epoch: 19 [3712/49812]	Loss: 0.7529	LR: 0.020000
Training Epoch: 19 [3776/49812]	Loss: 0.9423	LR: 0.020000
Training Epoch: 19 [3840/49812]	Loss: 0.7458	LR: 0.020000
Training Epoch: 19 [3904/49812]	Loss: 0.7832	LR: 0.020000
Training Epoch: 19 [3968/49812]	Loss: 0.7493	LR: 0.020000
Training Epoch: 19 [4032/49812]	Loss: 0.7290	LR: 0.020000
Training Epoch: 19 [4096/49812]	Loss: 0.7896	LR: 0.020000
Training Epoch: 19 [4160/49812]	Loss: 0.8435	LR: 0.020000
Training Epoch: 19 [4224/49812]	Loss: 0.8693	LR: 0.020000
Training Epoch: 19 [4288/49812]	Loss: 0.7890	LR: 0.020000
Training Epoch: 19 [4352/49812]	Loss: 0.6252	LR: 0.020000
Training Epoch: 19 [4416/49812]	Loss: 0.6634	LR: 0.020000
Training Epoch: 19 [4480/49812]	Loss: 1.0173	LR: 0.020000
Training Epoch: 19 [4544/49812]	Loss: 0.7998	LR: 0.020000
Training Epoch: 19 [4608/49812]	Loss: 0.7635	LR: 0.020000
Training Epoch: 19 [4672/49812]	Loss: 0.6887	LR: 0.020000
Training Epoch: 19 [4736/49812]	Loss: 0.6139	LR: 0.020000
Training Epoch: 19 [4800/49812]	Loss: 0.8066	LR: 0.020000
Training Epoch: 19 [4864/49812]	Loss: 0.7247	LR: 0.020000
Training Epoch: 19 [4928/49812]	Loss: 0.6683	LR: 0.020000
Training Epoch: 19 [4992/49812]	Loss: 0.7364	LR: 0.020000
Training Epoch: 19 [5056/49812]	Loss: 0.6582	LR: 0.020000
Training Epoch: 19 [5120/49812]	Loss: 0.9333	LR: 0.020000
Training Epoch: 19 [5184/49812]	Loss: 1.0452	LR: 0.020000
Training Epoch: 19 [5248/49812]	Loss: 0.7053	LR: 0.020000
Training Epoch: 19 [5312/49812]	Loss: 0.8923	LR: 0.020000
Training Epoch: 19 [5376/49812]	Loss: 1.2469	LR: 0.020000
Training Epoch: 19 [5440/49812]	Loss: 0.7675	LR: 0.020000
Training Epoch: 19 [5504/49812]	Loss: 0.8335	LR: 0.020000
Training Epoch: 19 [5568/49812]	Loss: 0.9105	LR: 0.020000
Training Epoch: 19 [5632/49812]	Loss: 0.7909	LR: 0.020000
Training Epoch: 19 [5696/49812]	Loss: 0.7856	LR: 0.020000
Training Epoch: 19 [5760/49812]	Loss: 0.7238	LR: 0.020000
Training Epoch: 19 [5824/49812]	Loss: 0.7405	LR: 0.020000
Training Epoch: 19 [5888/49812]	Loss: 0.6971	LR: 0.020000
Training Epoch: 19 [5952/49812]	Loss: 0.6621	LR: 0.020000
Training Epoch: 19 [6016/49812]	Loss: 0.8158	LR: 0.020000
Training Epoch: 19 [6080/49812]	Loss: 0.7403	LR: 0.020000
Training Epoch: 19 [6144/49812]	Loss: 0.8431	LR: 0.020000
Training Epoch: 19 [6208/49812]	Loss: 0.8441	LR: 0.020000
Training Epoch: 19 [6272/49812]	Loss: 0.7777	LR: 0.020000
Training Epoch: 19 [6336/49812]	Loss: 0.6271	LR: 0.020000
Training Epoch: 19 [6400/49812]	Loss: 1.1445	LR: 0.020000
Training Epoch: 19 [6464/49812]	Loss: 0.9239	LR: 0.020000
Training Epoch: 19 [6528/49812]	Loss: 0.7674	LR: 0.020000
Training Epoch: 19 [6592/49812]	Loss: 0.7180	LR: 0.020000
Training Epoch: 19 [6656/49812]	Loss: 0.9496	LR: 0.020000
Training Epoch: 19 [6720/49812]	Loss: 0.9158	LR: 0.020000
Training Epoch: 19 [6784/49812]	Loss: 0.7207	LR: 0.020000
Training Epoch: 19 [6848/49812]	Loss: 0.8644	LR: 0.020000
Training Epoch: 19 [6912/49812]	Loss: 0.6767	LR: 0.020000
Training Epoch: 19 [6976/49812]	Loss: 0.8682	LR: 0.020000
Training Epoch: 19 [7040/49812]	Loss: 1.0612	LR: 0.020000
Training Epoch: 19 [7104/49812]	Loss: 0.7310	LR: 0.020000
Training Epoch: 19 [7168/49812]	Loss: 0.9904	LR: 0.020000
Training Epoch: 19 [7232/49812]	Loss: 0.6417	LR: 0.020000
Training Epoch: 19 [7296/49812]	Loss: 0.8457	LR: 0.020000
Training Epoch: 19 [7360/49812]	Loss: 0.7755	LR: 0.020000
Training Epoch: 19 [7424/49812]	Loss: 0.9730	LR: 0.020000
Training Epoch: 19 [7488/49812]	Loss: 0.7660	LR: 0.020000
Training Epoch: 19 [7552/49812]	Loss: 0.9454	LR: 0.020000
Training Epoch: 19 [7616/49812]	Loss: 1.0124	LR: 0.020000
Training Epoch: 19 [7680/49812]	Loss: 0.9933	LR: 0.020000
Training Epoch: 19 [7744/49812]	Loss: 0.7202	LR: 0.020000
Training Epoch: 19 [7808/49812]	Loss: 0.6942	LR: 0.020000
Training Epoch: 19 [7872/49812]	Loss: 1.0369	LR: 0.020000
Training Epoch: 19 [7936/49812]	Loss: 1.0933	LR: 0.020000
Training Epoch: 19 [8000/49812]	Loss: 0.7087	LR: 0.020000
Training Epoch: 19 [8064/49812]	Loss: 0.6632	LR: 0.020000
Training Epoch: 19 [8128/49812]	Loss: 0.8783	LR: 0.020000
Training Epoch: 19 [8192/49812]	Loss: 1.0204	LR: 0.020000
Training Epoch: 19 [8256/49812]	Loss: 0.7523	LR: 0.020000
Training Epoch: 19 [8320/49812]	Loss: 1.1245	LR: 0.020000
Training Epoch: 19 [8384/49812]	Loss: 0.7389	LR: 0.020000
Training Epoch: 19 [8448/49812]	Loss: 0.9732	LR: 0.020000
Training Epoch: 19 [8512/49812]	Loss: 0.7613	LR: 0.020000
Training Epoch: 19 [8576/49812]	Loss: 0.7079	LR: 0.020000
Training Epoch: 19 [8640/49812]	Loss: 0.7340	LR: 0.020000
Training Epoch: 19 [8704/49812]	Loss: 0.7996	LR: 0.020000
Training Epoch: 19 [8768/49812]	Loss: 0.8639	LR: 0.020000
Training Epoch: 19 [8832/49812]	Loss: 1.0242	LR: 0.020000
Training Epoch: 19 [8896/49812]	Loss: 0.8485	LR: 0.020000
Training Epoch: 19 [8960/49812]	Loss: 1.0138	LR: 0.020000
Training Epoch: 19 [9024/49812]	Loss: 0.8934	LR: 0.020000
Training Epoch: 19 [9088/49812]	Loss: 0.9801	LR: 0.020000
Training Epoch: 19 [9152/49812]	Loss: 0.7931	LR: 0.020000
Training Epoch: 19 [9216/49812]	Loss: 1.1860	LR: 0.020000
Training Epoch: 19 [9280/49812]	Loss: 0.9874	LR: 0.020000
Training Epoch: 19 [9344/49812]	Loss: 1.2146	LR: 0.020000
Training Epoch: 19 [9408/49812]	Loss: 0.7296	LR: 0.020000
Training Epoch: 19 [9472/49812]	Loss: 1.0339	LR: 0.020000
Training Epoch: 19 [9536/49812]	Loss: 0.9510	LR: 0.020000
Training Epoch: 19 [9600/49812]	Loss: 0.7583	LR: 0.020000
Training Epoch: 19 [9664/49812]	Loss: 0.8172	LR: 0.020000
Training Epoch: 19 [9728/49812]	Loss: 1.1392	LR: 0.020000
Training Epoch: 19 [9792/49812]	Loss: 0.7582	LR: 0.020000
Training Epoch: 19 [9856/49812]	Loss: 0.8037	LR: 0.020000
Training Epoch: 19 [9920/49812]	Loss: 0.9173	LR: 0.020000
Training Epoch: 19 [9984/49812]	Loss: 0.9062	LR: 0.020000
Training Epoch: 19 [10048/49812]	Loss: 0.9745	LR: 0.020000
Training Epoch: 19 [10112/49812]	Loss: 0.6581	LR: 0.020000
Training Epoch: 19 [10176/49812]	Loss: 0.9577	LR: 0.020000
Training Epoch: 19 [10240/49812]	Loss: 0.6148	LR: 0.020000
Training Epoch: 19 [10304/49812]	Loss: 0.7839	LR: 0.020000
Training Epoch: 19 [10368/49812]	Loss: 0.9681	LR: 0.020000
Training Epoch: 19 [10432/49812]	Loss: 0.8944	LR: 0.020000
Training Epoch: 19 [10496/49812]	Loss: 0.9759	LR: 0.020000
Training Epoch: 19 [10560/49812]	Loss: 0.8344	LR: 0.020000
Training Epoch: 19 [10624/49812]	Loss: 0.9275	LR: 0.020000
Training Epoch: 19 [10688/49812]	Loss: 0.8229	LR: 0.020000
Training Epoch: 19 [10752/49812]	Loss: 0.8649	LR: 0.020000
Training Epoch: 19 [10816/49812]	Loss: 0.9979	LR: 0.020000
Training Epoch: 19 [10880/49812]	Loss: 0.9549	LR: 0.020000
Training Epoch: 19 [10944/49812]	Loss: 0.8004	LR: 0.020000
Training Epoch: 19 [11008/49812]	Loss: 1.0494	LR: 0.020000
Training Epoch: 19 [11072/49812]	Loss: 0.7885	LR: 0.020000
Training Epoch: 19 [11136/49812]	Loss: 1.0241	LR: 0.020000
Training Epoch: 19 [11200/49812]	Loss: 0.6362	LR: 0.020000
Training Epoch: 19 [11264/49812]	Loss: 1.0240	LR: 0.020000
Training Epoch: 19 [11328/49812]	Loss: 0.9862	LR: 0.020000
Training Epoch: 19 [11392/49812]	Loss: 0.7985	LR: 0.020000
Training Epoch: 19 [11456/49812]	Loss: 0.7925	LR: 0.020000
Training Epoch: 19 [11520/49812]	Loss: 0.5449	LR: 0.020000
Training Epoch: 19 [11584/49812]	Loss: 0.7509	LR: 0.020000
Training Epoch: 19 [11648/49812]	Loss: 1.1554	LR: 0.020000
Training Epoch: 19 [11712/49812]	Loss: 0.9913	LR: 0.020000
Training Epoch: 19 [11776/49812]	Loss: 0.7665	LR: 0.020000
Training Epoch: 19 [11840/49812]	Loss: 0.5638	LR: 0.020000
Training Epoch: 19 [11904/49812]	Loss: 0.9473	LR: 0.020000
Training Epoch: 19 [11968/49812]	Loss: 0.8202	LR: 0.020000
Training Epoch: 19 [12032/49812]	Loss: 0.9682	LR: 0.020000
Training Epoch: 19 [12096/49812]	Loss: 0.8926	LR: 0.020000
Training Epoch: 19 [12160/49812]	Loss: 0.8017	LR: 0.020000
Training Epoch: 19 [12224/49812]	Loss: 0.6907	LR: 0.020000
Training Epoch: 19 [12288/49812]	Loss: 0.9132	LR: 0.020000
Training Epoch: 19 [12352/49812]	Loss: 1.0188	LR: 0.020000
Training Epoch: 19 [12416/49812]	Loss: 0.5758	LR: 0.020000
Training Epoch: 19 [12480/49812]	Loss: 1.2070	LR: 0.020000
Training Epoch: 19 [12544/49812]	Loss: 0.9633	LR: 0.020000
Training Epoch: 19 [12608/49812]	Loss: 0.8621	LR: 0.020000
Training Epoch: 19 [12672/49812]	Loss: 0.8022	LR: 0.020000
Training Epoch: 19 [12736/49812]	Loss: 1.0019	LR: 0.020000
Training Epoch: 19 [12800/49812]	Loss: 1.0339	LR: 0.020000
Training Epoch: 19 [12864/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 19 [12928/49812]	Loss: 0.9752	LR: 0.020000
Training Epoch: 19 [12992/49812]	Loss: 0.9012	LR: 0.020000
Training Epoch: 19 [13056/49812]	Loss: 0.7163	LR: 0.020000
Training Epoch: 19 [13120/49812]	Loss: 0.8651	LR: 0.020000
Training Epoch: 19 [13184/49812]	Loss: 1.0370	LR: 0.020000
Training Epoch: 19 [13248/49812]	Loss: 0.7468	LR: 0.020000
Training Epoch: 19 [13312/49812]	Loss: 0.6844	LR: 0.020000
Training Epoch: 19 [13376/49812]	Loss: 0.6925	LR: 0.020000
Training Epoch: 19 [13440/49812]	Loss: 0.9748	LR: 0.020000
Training Epoch: 19 [13504/49812]	Loss: 0.9672	LR: 0.020000
Training Epoch: 19 [13568/49812]	Loss: 0.9850	LR: 0.020000
Training Epoch: 19 [13632/49812]	Loss: 0.8851	LR: 0.020000
Training Epoch: 19 [13696/49812]	Loss: 1.1177	LR: 0.020000
Training Epoch: 19 [13760/49812]	Loss: 1.0625	LR: 0.020000
Training Epoch: 19 [13824/49812]	Loss: 0.7491	LR: 0.020000
Training Epoch: 19 [13888/49812]	Loss: 0.9270	LR: 0.020000
Training Epoch: 19 [13952/49812]	Loss: 0.7114	LR: 0.020000
Training Epoch: 19 [14016/49812]	Loss: 0.9015	LR: 0.020000
Training Epoch: 19 [14080/49812]	Loss: 1.0124	LR: 0.020000
Training Epoch: 19 [14144/49812]	Loss: 1.0087	LR: 0.020000
Training Epoch: 19 [14208/49812]	Loss: 0.9313	LR: 0.020000
Training Epoch: 19 [14272/49812]	Loss: 0.8082	LR: 0.020000
Training Epoch: 19 [14336/49812]	Loss: 0.9956	LR: 0.020000
Training Epoch: 19 [14400/49812]	Loss: 0.7328	LR: 0.020000
Training Epoch: 19 [14464/49812]	Loss: 0.8054	LR: 0.020000
Training Epoch: 19 [14528/49812]	Loss: 0.7114	LR: 0.020000
Training Epoch: 19 [14592/49812]	Loss: 0.8990	LR: 0.020000
Training Epoch: 19 [14656/49812]	Loss: 0.6168	LR: 0.020000
Training Epoch: 19 [14720/49812]	Loss: 0.8411	LR: 0.020000
Training Epoch: 19 [14784/49812]	Loss: 0.8778	LR: 0.020000
Training Epoch: 19 [14848/49812]	Loss: 0.8342	LR: 0.020000
Training Epoch: 19 [14912/49812]	Loss: 0.8172	LR: 0.020000
Training Epoch: 19 [14976/49812]	Loss: 0.9408	LR: 0.020000
Training Epoch: 19 [15040/49812]	Loss: 0.8044	LR: 0.020000
Training Epoch: 19 [15104/49812]	Loss: 0.6541	LR: 0.020000
Training Epoch: 19 [15168/49812]	Loss: 0.8107	LR: 0.020000
Training Epoch: 19 [15232/49812]	Loss: 0.8516	LR: 0.020000
Training Epoch: 19 [15296/49812]	Loss: 0.6624	LR: 0.020000
Training Epoch: 19 [15360/49812]	Loss: 1.0300	LR: 0.020000
Training Epoch: 19 [15424/49812]	Loss: 0.8590	LR: 0.020000
Training Epoch: 19 [15488/49812]	Loss: 0.6557	LR: 0.020000
Training Epoch: 19 [15552/49812]	Loss: 0.8026	LR: 0.020000
Training Epoch: 19 [15616/49812]	Loss: 0.9527	LR: 0.020000
Training Epoch: 19 [15680/49812]	Loss: 0.5937	LR: 0.020000
Training Epoch: 19 [15744/49812]	Loss: 0.9376	LR: 0.020000
Training Epoch: 19 [15808/49812]	Loss: 1.0772	LR: 0.020000
Training Epoch: 19 [15872/49812]	Loss: 1.0089	LR: 0.020000
Training Epoch: 19 [15936/49812]	Loss: 0.9509	LR: 0.020000
Training Epoch: 19 [16000/49812]	Loss: 0.9659	LR: 0.020000
Training Epoch: 19 [16064/49812]	Loss: 0.8692	LR: 0.020000
Training Epoch: 19 [16128/49812]	Loss: 0.7428	LR: 0.020000
Training Epoch: 19 [16192/49812]	Loss: 0.9232	LR: 0.020000
Training Epoch: 19 [16256/49812]	Loss: 0.7384	LR: 0.020000
Training Epoch: 19 [16320/49812]	Loss: 0.8351	LR: 0.020000
Training Epoch: 19 [16384/49812]	Loss: 1.1546	LR: 0.020000
Training Epoch: 19 [16448/49812]	Loss: 0.9563	LR: 0.020000
Training Epoch: 19 [16512/49812]	Loss: 0.6384	LR: 0.020000
Training Epoch: 19 [16576/49812]	Loss: 0.6508	LR: 0.020000
Training Epoch: 19 [16640/49812]	Loss: 0.7979	LR: 0.020000
Training Epoch: 19 [16704/49812]	Loss: 0.7554	LR: 0.020000
Training Epoch: 19 [16768/49812]	Loss: 0.7438	LR: 0.020000
Training Epoch: 19 [16832/49812]	Loss: 0.9433	LR: 0.020000
Training Epoch: 19 [16896/49812]	Loss: 0.6559	LR: 0.020000
Training Epoch: 19 [16960/49812]	Loss: 1.0101	LR: 0.020000
Training Epoch: 19 [17024/49812]	Loss: 0.8062	LR: 0.020000
Training Epoch: 19 [17088/49812]	Loss: 0.7062	LR: 0.020000
Training Epoch: 19 [17152/49812]	Loss: 0.7792	LR: 0.020000
Training Epoch: 19 [17216/49812]	Loss: 0.8321	LR: 0.020000
Training Epoch: 19 [17280/49812]	Loss: 0.7033	LR: 0.020000
Training Epoch: 19 [17344/49812]	Loss: 0.7883	LR: 0.020000
Training Epoch: 19 [17408/49812]	Loss: 0.8325	LR: 0.020000
Training Epoch: 19 [17472/49812]	Loss: 0.6914	LR: 0.020000
Training Epoch: 19 [17536/49812]	Loss: 0.6805	LR: 0.020000
Training Epoch: 19 [17600/49812]	Loss: 0.9719	LR: 0.020000
Training Epoch: 19 [17664/49812]	Loss: 0.7138	LR: 0.020000
Training Epoch: 19 [17728/49812]	Loss: 0.7269	LR: 0.020000
Training Epoch: 19 [17792/49812]	Loss: 0.6170	LR: 0.020000
Training Epoch: 19 [17856/49812]	Loss: 0.8711	LR: 0.020000
Training Epoch: 19 [17920/49812]	Loss: 1.1823	LR: 0.020000
Training Epoch: 19 [17984/49812]	Loss: 0.7580	LR: 0.020000
Training Epoch: 19 [18048/49812]	Loss: 0.6713	LR: 0.020000
Training Epoch: 19 [18112/49812]	Loss: 0.7911	LR: 0.020000
Training Epoch: 19 [18176/49812]	Loss: 0.7688	LR: 0.020000
Training Epoch: 19 [18240/49812]	Loss: 1.0676	LR: 0.020000
Training Epoch: 19 [18304/49812]	Loss: 0.7846	LR: 0.020000
Training Epoch: 19 [18368/49812]	Loss: 0.9233	LR: 0.020000
Training Epoch: 19 [18432/49812]	Loss: 0.8210	LR: 0.020000
Training Epoch: 19 [18496/49812]	Loss: 1.1566	LR: 0.020000
Training Epoch: 19 [18560/49812]	Loss: 0.6859	LR: 0.020000
Training Epoch: 19 [18624/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 19 [18688/49812]	Loss: 0.7136	LR: 0.020000
Training Epoch: 19 [18752/49812]	Loss: 0.8776	LR: 0.020000
Training Epoch: 19 [18816/49812]	Loss: 0.9115	LR: 0.020000
Training Epoch: 19 [18880/49812]	Loss: 0.5942	LR: 0.020000
Training Epoch: 19 [18944/49812]	Loss: 0.8489	LR: 0.020000
Training Epoch: 19 [19008/49812]	Loss: 1.0361	LR: 0.020000
Training Epoch: 19 [19072/49812]	Loss: 0.8759	LR: 0.020000
Training Epoch: 19 [19136/49812]	Loss: 0.6760	LR: 0.020000
Training Epoch: 19 [19200/49812]	Loss: 0.8607	LR: 0.020000
Training Epoch: 19 [19264/49812]	Loss: 0.8262	LR: 0.020000
Training Epoch: 19 [19328/49812]	Loss: 0.8937	LR: 0.020000
Training Epoch: 19 [19392/49812]	Loss: 1.0582	LR: 0.020000
Training Epoch: 19 [19456/49812]	Loss: 0.6051	LR: 0.020000
Training Epoch: 19 [19520/49812]	Loss: 0.9293	LR: 0.020000
Training Epoch: 19 [19584/49812]	Loss: 0.8911	LR: 0.020000
Training Epoch: 19 [19648/49812]	Loss: 0.7390	LR: 0.020000
Training Epoch: 19 [19712/49812]	Loss: 0.9309	LR: 0.020000
Training Epoch: 19 [19776/49812]	Loss: 0.9965	LR: 0.020000
Training Epoch: 19 [19840/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 19 [19904/49812]	Loss: 0.7487	LR: 0.020000
Training Epoch: 19 [19968/49812]	Loss: 0.8928	LR: 0.020000
Training Epoch: 19 [20032/49812]	Loss: 0.8706	LR: 0.020000
Training Epoch: 19 [20096/49812]	Loss: 0.6632	LR: 0.020000
Training Epoch: 19 [20160/49812]	Loss: 0.9652	LR: 0.020000
Training Epoch: 19 [20224/49812]	Loss: 0.9264	LR: 0.020000
Training Epoch: 19 [20288/49812]	Loss: 0.7706	LR: 0.020000
Training Epoch: 19 [20352/49812]	Loss: 0.9005	LR: 0.020000
Training Epoch: 19 [20416/49812]	Loss: 0.7766	LR: 0.020000
Training Epoch: 19 [20480/49812]	Loss: 1.0213	LR: 0.020000
Training Epoch: 19 [20544/49812]	Loss: 0.6686	LR: 0.020000
Training Epoch: 19 [20608/49812]	Loss: 0.7198	LR: 0.020000
Training Epoch: 19 [20672/49812]	Loss: 0.6553	LR: 0.020000
Training Epoch: 19 [20736/49812]	Loss: 0.7987	LR: 0.020000
Training Epoch: 19 [20800/49812]	Loss: 0.9508	LR: 0.020000
Training Epoch: 19 [20864/49812]	Loss: 0.9485	LR: 0.020000
Training Epoch: 19 [20928/49812]	Loss: 1.1472	LR: 0.020000
Training Epoch: 19 [20992/49812]	Loss: 1.0026	LR: 0.020000
Training Epoch: 19 [21056/49812]	Loss: 0.8043	LR: 0.020000
Training Epoch: 19 [21120/49812]	Loss: 0.5490	LR: 0.020000
Training Epoch: 19 [21184/49812]	Loss: 0.8276	LR: 0.020000
Training Epoch: 19 [21248/49812]	Loss: 0.9007	LR: 0.020000
Training Epoch: 19 [21312/49812]	Loss: 1.0637	LR: 0.020000
Training Epoch: 19 [21376/49812]	Loss: 0.7256	LR: 0.020000
Training Epoch: 19 [21440/49812]	Loss: 0.8093	LR: 0.020000
Training Epoch: 19 [21504/49812]	Loss: 1.0818	LR: 0.020000
Training Epoch: 19 [21568/49812]	Loss: 0.6729	LR: 0.020000
Training Epoch: 19 [21632/49812]	Loss: 0.7530	LR: 0.020000
Training Epoch: 19 [21696/49812]	Loss: 0.6652	LR: 0.020000
Training Epoch: 19 [21760/49812]	Loss: 0.7451	LR: 0.020000
Training Epoch: 19 [21824/49812]	Loss: 0.8175	LR: 0.020000
Training Epoch: 19 [21888/49812]	Loss: 0.8330	LR: 0.020000
Training Epoch: 19 [21952/49812]	Loss: 0.9261	LR: 0.020000
Training Epoch: 19 [22016/49812]	Loss: 0.6440	LR: 0.020000
Training Epoch: 19 [22080/49812]	Loss: 0.8670	LR: 0.020000
Training Epoch: 19 [22144/49812]	Loss: 0.7991	LR: 0.020000
Training Epoch: 19 [22208/49812]	Loss: 0.8394	LR: 0.020000
Training Epoch: 19 [22272/49812]	Loss: 0.8646	LR: 0.020000
Training Epoch: 19 [22336/49812]	Loss: 0.8955	LR: 0.020000
Training Epoch: 19 [22400/49812]	Loss: 1.0199	LR: 0.020000
Training Epoch: 19 [22464/49812]	Loss: 0.8110	LR: 0.020000
Training Epoch: 19 [22528/49812]	Loss: 0.7160	LR: 0.020000
Training Epoch: 19 [22592/49812]	Loss: 0.9194	LR: 0.020000
Training Epoch: 19 [22656/49812]	Loss: 0.7536	LR: 0.020000
Training Epoch: 19 [22720/49812]	Loss: 0.9359	LR: 0.020000
Training Epoch: 19 [22784/49812]	Loss: 0.9003	LR: 0.020000
Training Epoch: 19 [22848/49812]	Loss: 0.9029	LR: 0.020000
Training Epoch: 19 [22912/49812]	Loss: 0.8480	LR: 0.020000
Training Epoch: 19 [22976/49812]	Loss: 0.9828	LR: 0.020000
Training Epoch: 19 [23040/49812]	Loss: 0.8461	LR: 0.020000
Training Epoch: 19 [23104/49812]	Loss: 0.6666	LR: 0.020000
Training Epoch: 19 [23168/49812]	Loss: 1.0838	LR: 0.020000
Training Epoch: 19 [23232/49812]	Loss: 0.9169	LR: 0.020000
Training Epoch: 19 [23296/49812]	Loss: 0.7673	LR: 0.020000
Training Epoch: 19 [23360/49812]	Loss: 0.9376	LR: 0.020000
Training Epoch: 19 [23424/49812]	Loss: 1.0281	LR: 0.020000
Training Epoch: 19 [23488/49812]	Loss: 0.7967	LR: 0.020000
Training Epoch: 19 [23552/49812]	Loss: 0.6549	LR: 0.020000
Training Epoch: 19 [23616/49812]	Loss: 0.9644	LR: 0.020000
Training Epoch: 19 [23680/49812]	Loss: 0.8791	LR: 0.020000
Training Epoch: 19 [23744/49812]	Loss: 0.7665	LR: 0.020000
Training Epoch: 19 [23808/49812]	Loss: 0.6096	LR: 0.020000
Training Epoch: 19 [23872/49812]	Loss: 0.8005	LR: 0.020000
Training Epoch: 19 [23936/49812]	Loss: 0.7340	LR: 0.020000
Training Epoch: 19 [24000/49812]	Loss: 0.8666	LR: 0.020000
Training Epoch: 19 [24064/49812]	Loss: 0.7470	LR: 0.020000
Training Epoch: 19 [24128/49812]	Loss: 0.7325	LR: 0.020000
Training Epoch: 19 [24192/49812]	Loss: 0.9632	LR: 0.020000
Training Epoch: 19 [24256/49812]	Loss: 0.9238	LR: 0.020000
Training Epoch: 19 [24320/49812]	Loss: 0.9664	LR: 0.020000
Training Epoch: 19 [24384/49812]	Loss: 1.1060	LR: 0.020000
Training Epoch: 19 [24448/49812]	Loss: 1.0109	LR: 0.020000
Training Epoch: 19 [24512/49812]	Loss: 0.8413	LR: 0.020000
Training Epoch: 19 [24576/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 19 [24640/49812]	Loss: 0.8790	LR: 0.020000
Training Epoch: 19 [24704/49812]	Loss: 0.7785	LR: 0.020000
Training Epoch: 19 [24768/49812]	Loss: 0.7087	LR: 0.020000
Training Epoch: 19 [24832/49812]	Loss: 0.6902	LR: 0.020000
Training Epoch: 19 [24896/49812]	Loss: 0.8488	LR: 0.020000
Training Epoch: 19 [24960/49812]	Loss: 0.7353	LR: 0.020000
Training Epoch: 19 [25024/49812]	Loss: 0.6590	LR: 0.020000
Training Epoch: 19 [25088/49812]	Loss: 0.6666	LR: 0.020000
Training Epoch: 19 [25152/49812]	Loss: 0.9260	LR: 0.020000
Training Epoch: 19 [25216/49812]	Loss: 0.6699	LR: 0.020000
Training Epoch: 19 [25280/49812]	Loss: 0.9705	LR: 0.020000
Training Epoch: 19 [25344/49812]	Loss: 0.8353	LR: 0.020000
Training Epoch: 19 [25408/49812]	Loss: 0.7527	LR: 0.020000
Training Epoch: 19 [25472/49812]	Loss: 0.9523	LR: 0.020000
Training Epoch: 19 [25536/49812]	Loss: 0.7944	LR: 0.020000
Training Epoch: 19 [25600/49812]	Loss: 0.7940	LR: 0.020000
Training Epoch: 19 [25664/49812]	Loss: 0.6809	LR: 0.020000
Training Epoch: 19 [25728/49812]	Loss: 1.1684	LR: 0.020000
Training Epoch: 19 [25792/49812]	Loss: 0.6287	LR: 0.020000
Training Epoch: 19 [25856/49812]	Loss: 0.7943	LR: 0.020000
Training Epoch: 19 [25920/49812]	Loss: 0.8971	LR: 0.020000
Training Epoch: 19 [25984/49812]	Loss: 0.7537	LR: 0.020000
Training Epoch: 19 [26048/49812]	Loss: 0.7698	LR: 0.020000
Training Epoch: 19 [26112/49812]	Loss: 1.3496	LR: 0.020000
Training Epoch: 19 [26176/49812]	Loss: 0.9852	LR: 0.020000
Training Epoch: 19 [26240/49812]	Loss: 0.7468	LR: 0.020000
Training Epoch: 19 [26304/49812]	Loss: 0.9623	LR: 0.020000
Training Epoch: 19 [26368/49812]	Loss: 0.9120	LR: 0.020000
Training Epoch: 19 [26432/49812]	Loss: 0.7892	LR: 0.020000
Training Epoch: 19 [26496/49812]	Loss: 0.6524	LR: 0.020000
Training Epoch: 19 [26560/49812]	Loss: 0.8543	LR: 0.020000
Training Epoch: 19 [26624/49812]	Loss: 0.8794	LR: 0.020000
Training Epoch: 19 [26688/49812]	Loss: 0.5901	LR: 0.020000
Training Epoch: 19 [26752/49812]	Loss: 1.0024	LR: 0.020000
Training Epoch: 19 [26816/49812]	Loss: 0.8391	LR: 0.020000
Training Epoch: 19 [26880/49812]	Loss: 0.7195	LR: 0.020000
Training Epoch: 19 [26944/49812]	Loss: 0.6388	LR: 0.020000
Training Epoch: 19 [27008/49812]	Loss: 1.1497	LR: 0.020000
Training Epoch: 19 [27072/49812]	Loss: 0.7399	LR: 0.020000
Training Epoch: 19 [27136/49812]	Loss: 0.8277	LR: 0.020000
Training Epoch: 19 [27200/49812]	Loss: 0.8304	LR: 0.020000
Training Epoch: 19 [27264/49812]	Loss: 0.9166	LR: 0.020000
Training Epoch: 19 [27328/49812]	Loss: 0.9786	LR: 0.020000
Training Epoch: 19 [27392/49812]	Loss: 1.0858	LR: 0.020000
Training Epoch: 19 [27456/49812]	Loss: 0.7439	LR: 0.020000
Training Epoch: 19 [27520/49812]	Loss: 0.9714	LR: 0.020000
Training Epoch: 19 [27584/49812]	Loss: 0.9917	LR: 0.020000
Training Epoch: 19 [27648/49812]	Loss: 0.6763	LR: 0.020000
Training Epoch: 19 [27712/49812]	Loss: 0.8631	LR: 0.020000
Training Epoch: 19 [27776/49812]	Loss: 0.7310	LR: 0.020000
Training Epoch: 19 [27840/49812]	Loss: 0.9106	LR: 0.020000
Training Epoch: 19 [27904/49812]	Loss: 0.9506	LR: 0.020000
Training Epoch: 19 [27968/49812]	Loss: 0.7146	LR: 0.020000
Training Epoch: 19 [28032/49812]	Loss: 1.0655	LR: 0.020000
Training Epoch: 19 [28096/49812]	Loss: 0.7946	LR: 0.020000
Training Epoch: 19 [28160/49812]	Loss: 0.6514	LR: 0.020000
Training Epoch: 19 [28224/49812]	Loss: 0.8074	LR: 0.020000
Training Epoch: 19 [28288/49812]	Loss: 0.8284	LR: 0.020000
Training Epoch: 19 [28352/49812]	Loss: 1.0117	LR: 0.020000
Training Epoch: 19 [28416/49812]	Loss: 0.7282	LR: 0.020000
Training Epoch: 19 [28480/49812]	Loss: 0.7851	LR: 0.020000
Training Epoch: 19 [28544/49812]	Loss: 0.8959	LR: 0.020000
Training Epoch: 19 [28608/49812]	Loss: 0.7519	LR: 0.020000
Training Epoch: 19 [28672/49812]	Loss: 1.1750	LR: 0.020000
Training Epoch: 19 [28736/49812]	Loss: 0.7644	LR: 0.020000
Training Epoch: 19 [28800/49812]	Loss: 0.9684	LR: 0.020000
Training Epoch: 19 [28864/49812]	Loss: 0.8387	LR: 0.020000
Training Epoch: 19 [28928/49812]	Loss: 1.0043	LR: 0.020000
Training Epoch: 19 [28992/49812]	Loss: 0.9084	LR: 0.020000
Training Epoch: 19 [29056/49812]	Loss: 0.8237	LR: 0.020000
Training Epoch: 19 [29120/49812]	Loss: 0.6686	LR: 0.020000
Training Epoch: 19 [29184/49812]	Loss: 0.9544	LR: 0.020000
Training Epoch: 19 [29248/49812]	Loss: 0.9340	LR: 0.020000
Training Epoch: 19 [29312/49812]	Loss: 0.6889	LR: 0.020000
Training Epoch: 19 [29376/49812]	Loss: 0.7155	LR: 0.020000
Training Epoch: 19 [29440/49812]	Loss: 0.8467	LR: 0.020000
Training Epoch: 19 [29504/49812]	Loss: 0.7552	LR: 0.020000
Training Epoch: 19 [29568/49812]	Loss: 0.8378	LR: 0.020000
Training Epoch: 19 [29632/49812]	Loss: 0.8454	LR: 0.020000
Training Epoch: 19 [29696/49812]	Loss: 0.3912	LR: 0.020000
Training Epoch: 19 [29760/49812]	Loss: 0.9124	LR: 0.020000
Training Epoch: 19 [29824/49812]	Loss: 0.8483	LR: 0.020000
Training Epoch: 19 [29888/49812]	Loss: 0.8310	LR: 0.020000
Training Epoch: 19 [29952/49812]	Loss: 0.9350	LR: 0.020000
Training Epoch: 19 [30016/49812]	Loss: 0.7556	LR: 0.020000
Training Epoch: 19 [30080/49812]	Loss: 1.0587	LR: 0.020000
Training Epoch: 19 [30144/49812]	Loss: 0.7859	LR: 0.020000
Training Epoch: 19 [30208/49812]	Loss: 0.8184	LR: 0.020000
Training Epoch: 19 [30272/49812]	Loss: 0.6643	LR: 0.020000
Training Epoch: 19 [30336/49812]	Loss: 1.1700	LR: 0.020000
Training Epoch: 19 [30400/49812]	Loss: 0.7969	LR: 0.020000
Training Epoch: 19 [30464/49812]	Loss: 1.1820	LR: 0.020000
Training Epoch: 19 [30528/49812]	Loss: 1.0484	LR: 0.020000
Training Epoch: 19 [30592/49812]	Loss: 0.8278	LR: 0.020000
Training Epoch: 19 [30656/49812]	Loss: 0.9633	LR: 0.020000
Training Epoch: 19 [30720/49812]	Loss: 0.8479	LR: 0.020000
Training Epoch: 19 [30784/49812]	Loss: 0.7196	LR: 0.020000
Training Epoch: 19 [30848/49812]	Loss: 1.0377	LR: 0.020000
Training Epoch: 19 [30912/49812]	Loss: 0.8234	LR: 0.020000
Training Epoch: 19 [30976/49812]	Loss: 1.0021	LR: 0.020000
Training Epoch: 19 [31040/49812]	Loss: 0.8232	LR: 0.020000
Training Epoch: 19 [31104/49812]	Loss: 0.7661	LR: 0.020000
Training Epoch: 19 [31168/49812]	Loss: 0.7347	LR: 0.020000
Training Epoch: 19 [31232/49812]	Loss: 0.5851	LR: 0.020000
Training Epoch: 19 [31296/49812]	Loss: 0.6743	LR: 0.020000
Training Epoch: 19 [31360/49812]	Loss: 0.9159	LR: 0.020000
Training Epoch: 19 [31424/49812]	Loss: 0.5892	LR: 0.020000
Training Epoch: 19 [31488/49812]	Loss: 0.7884	LR: 0.020000
Training Epoch: 19 [31552/49812]	Loss: 1.0662	LR: 0.020000
Training Epoch: 19 [31616/49812]	Loss: 1.2291	LR: 0.020000
Training Epoch: 19 [31680/49812]	Loss: 0.9121	LR: 0.020000
Training Epoch: 19 [31744/49812]	Loss: 0.7838	LR: 0.020000
Training Epoch: 19 [31808/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 19 [31872/49812]	Loss: 0.9132	LR: 0.020000
Training Epoch: 19 [31936/49812]	Loss: 0.9447	LR: 0.020000
Training Epoch: 19 [32000/49812]	Loss: 1.0811	LR: 0.020000
Training Epoch: 19 [32064/49812]	Loss: 1.1630	LR: 0.020000
Training Epoch: 19 [32128/49812]	Loss: 0.6395	LR: 0.020000
Training Epoch: 19 [32192/49812]	Loss: 0.5989	LR: 0.020000
Training Epoch: 19 [32256/49812]	Loss: 1.0426	LR: 0.020000
Training Epoch: 19 [32320/49812]	Loss: 1.0795	LR: 0.020000
Training Epoch: 19 [32384/49812]	Loss: 1.0127	LR: 0.020000
Training Epoch: 19 [32448/49812]	Loss: 0.8635	LR: 0.020000
Training Epoch: 19 [32512/49812]	Loss: 1.0275	LR: 0.020000
Training Epoch: 19 [32576/49812]	Loss: 0.8382	LR: 0.020000
Training Epoch: 19 [32640/49812]	Loss: 0.4989	LR: 0.020000
Training Epoch: 19 [32704/49812]	Loss: 0.9404	LR: 0.020000
Training Epoch: 19 [32768/49812]	Loss: 0.8257	LR: 0.020000
Training Epoch: 19 [32832/49812]	Loss: 0.8634	LR: 0.020000
Training Epoch: 19 [32896/49812]	Loss: 0.7919	LR: 0.020000
Training Epoch: 19 [32960/49812]	Loss: 0.7318	LR: 0.020000
Training Epoch: 19 [33024/49812]	Loss: 0.8775	LR: 0.020000
Training Epoch: 19 [33088/49812]	Loss: 0.7022	LR: 0.020000
Training Epoch: 19 [33152/49812]	Loss: 0.8675	LR: 0.020000
Training Epoch: 19 [33216/49812]	Loss: 0.8119	LR: 0.020000
Training Epoch: 19 [33280/49812]	Loss: 0.7204	LR: 0.020000
Training Epoch: 19 [33344/49812]	Loss: 0.8345	LR: 0.020000
Training Epoch: 19 [33408/49812]	Loss: 0.8321	LR: 0.020000
Training Epoch: 19 [33472/49812]	Loss: 0.7496	LR: 0.020000
Training Epoch: 19 [33536/49812]	Loss: 0.9848	LR: 0.020000
Training Epoch: 19 [33600/49812]	Loss: 1.1858	LR: 0.020000
Training Epoch: 19 [33664/49812]	Loss: 0.9734	LR: 0.020000
Training Epoch: 19 [33728/49812]	Loss: 1.1361	LR: 0.020000
Training Epoch: 19 [33792/49812]	Loss: 0.9721	LR: 0.020000
Training Epoch: 19 [33856/49812]	Loss: 0.8551	LR: 0.020000
Training Epoch: 19 [33920/49812]	Loss: 0.6823	LR: 0.020000
Training Epoch: 19 [33984/49812]	Loss: 1.0919	LR: 0.020000
Training Epoch: 19 [34048/49812]	Loss: 0.8482	LR: 0.020000
Training Epoch: 19 [34112/49812]	Loss: 0.8482	LR: 0.020000
Training Epoch: 19 [34176/49812]	Loss: 1.1398	LR: 0.020000
Training Epoch: 19 [34240/49812]	Loss: 0.6471	LR: 0.020000
Training Epoch: 19 [34304/49812]	Loss: 0.7637	LR: 0.020000
Training Epoch: 19 [34368/49812]	Loss: 1.0467	LR: 0.020000
Training Epoch: 19 [34432/49812]	Loss: 1.0192	LR: 0.020000
Training Epoch: 19 [34496/49812]	Loss: 1.1195	LR: 0.020000
Training Epoch: 19 [34560/49812]	Loss: 0.7989	LR: 0.020000
Training Epoch: 19 [34624/49812]	Loss: 0.8390	LR: 0.020000
Training Epoch: 19 [34688/49812]	Loss: 0.7876	LR: 0.020000
Training Epoch: 19 [34752/49812]	Loss: 1.0859	LR: 0.020000
Training Epoch: 19 [34816/49812]	Loss: 0.6613	LR: 0.020000
Training Epoch: 19 [34880/49812]	Loss: 0.9768	LR: 0.020000
Training Epoch: 19 [34944/49812]	Loss: 1.0421	LR: 0.020000
Training Epoch: 19 [35008/49812]	Loss: 0.7655	LR: 0.020000
Training Epoch: 19 [35072/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 19 [35136/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 19 [35200/49812]	Loss: 0.8401	LR: 0.020000
Training Epoch: 19 [35264/49812]	Loss: 0.6607	LR: 0.020000
Training Epoch: 19 [35328/49812]	Loss: 1.0819	LR: 0.020000
Training Epoch: 19 [35392/49812]	Loss: 0.7103	LR: 0.020000
Training Epoch: 19 [35456/49812]	Loss: 0.5980	LR: 0.020000
Training Epoch: 19 [35520/49812]	Loss: 0.9317	LR: 0.020000
Training Epoch: 19 [35584/49812]	Loss: 1.0232	LR: 0.020000
Training Epoch: 19 [35648/49812]	Loss: 0.9407	LR: 0.020000
Training Epoch: 19 [35712/49812]	Loss: 0.6715	LR: 0.020000
Training Epoch: 19 [35776/49812]	Loss: 1.0610	LR: 0.020000
Training Epoch: 19 [35840/49812]	Loss: 0.9547	LR: 0.020000
Training Epoch: 19 [35904/49812]	Loss: 0.7819	LR: 0.020000
Training Epoch: 19 [35968/49812]	Loss: 0.8035	LR: 0.020000
Training Epoch: 19 [36032/49812]	Loss: 0.6177	LR: 0.020000
Training Epoch: 19 [36096/49812]	Loss: 0.8972	LR: 0.020000
Training Epoch: 19 [36160/49812]	Loss: 0.8759	LR: 0.020000
Training Epoch: 19 [36224/49812]	Loss: 0.6851	LR: 0.020000
Training Epoch: 19 [36288/49812]	Loss: 0.9028	LR: 0.020000
Training Epoch: 19 [36352/49812]	Loss: 0.9105	LR: 0.020000
Training Epoch: 19 [36416/49812]	Loss: 1.0526	LR: 0.020000
Training Epoch: 19 [36480/49812]	Loss: 0.9316	LR: 0.020000
Training Epoch: 19 [36544/49812]	Loss: 0.9043	LR: 0.020000
Training Epoch: 19 [36608/49812]	Loss: 0.8201	LR: 0.020000
Training Epoch: 19 [36672/49812]	Loss: 0.7512	LR: 0.020000
Training Epoch: 19 [36736/49812]	Loss: 0.6526	LR: 0.020000
Training Epoch: 19 [36800/49812]	Loss: 0.7299	LR: 0.020000
Training Epoch: 19 [36864/49812]	Loss: 0.8089	LR: 0.020000
Training Epoch: 19 [36928/49812]	Loss: 1.0820	LR: 0.020000
Training Epoch: 19 [36992/49812]	Loss: 0.6804	LR: 0.020000
Training Epoch: 19 [37056/49812]	Loss: 0.7604	LR: 0.020000
Training Epoch: 19 [37120/49812]	Loss: 0.9720	LR: 0.020000
Training Epoch: 19 [37184/49812]	Loss: 0.8696	LR: 0.020000
Training Epoch: 19 [37248/49812]	Loss: 1.0606	LR: 0.020000
Training Epoch: 19 [37312/49812]	Loss: 0.8692	LR: 0.020000
Training Epoch: 19 [37376/49812]	Loss: 1.0633	LR: 0.020000
Training Epoch: 19 [37440/49812]	Loss: 1.0686	LR: 0.020000
Training Epoch: 19 [37504/49812]	Loss: 1.1183	LR: 0.020000
Training Epoch: 19 [37568/49812]	Loss: 0.9492	LR: 0.020000
Training Epoch: 19 [37632/49812]	Loss: 0.8566	LR: 0.020000
Training Epoch: 19 [37696/49812]	Loss: 0.7355	LR: 0.020000
Training Epoch: 19 [37760/49812]	Loss: 0.7989	LR: 0.020000
Training Epoch: 19 [37824/49812]	Loss: 1.3399	LR: 0.020000
Training Epoch: 19 [37888/49812]	Loss: 0.9606	LR: 0.020000
Training Epoch: 19 [37952/49812]	Loss: 0.7684	LR: 0.020000
Training Epoch: 19 [38016/49812]	Loss: 0.8005	LR: 0.020000
Training Epoch: 19 [38080/49812]	Loss: 0.9290	LR: 0.020000
Training Epoch: 19 [38144/49812]	Loss: 1.1936	LR: 0.020000
Training Epoch: 19 [38208/49812]	Loss: 1.4099	LR: 0.020000
Training Epoch: 19 [38272/49812]	Loss: 0.8205	LR: 0.020000
Training Epoch: 19 [38336/49812]	Loss: 0.8542	LR: 0.020000
Training Epoch: 19 [38400/49812]	Loss: 0.8853	LR: 0.020000
Training Epoch: 19 [38464/49812]	Loss: 0.5756	LR: 0.020000
Training Epoch: 19 [38528/49812]	Loss: 1.0680	LR: 0.020000
Training Epoch: 19 [38592/49812]	Loss: 0.8821	LR: 0.020000
Training Epoch: 19 [38656/49812]	Loss: 0.7883	LR: 0.020000
Training Epoch: 19 [38720/49812]	Loss: 0.7975	LR: 0.020000
Training Epoch: 19 [38784/49812]	Loss: 0.9166	LR: 0.020000
Training Epoch: 19 [38848/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 19 [38912/49812]	Loss: 0.7385	LR: 0.020000
Training Epoch: 19 [38976/49812]	Loss: 0.8154	LR: 0.020000
Training Epoch: 19 [39040/49812]	Loss: 0.7534	LR: 0.020000
Training Epoch: 19 [39104/49812]	Loss: 0.9852	LR: 0.020000
Training Epoch: 19 [39168/49812]	Loss: 0.9767	LR: 0.020000
Training Epoch: 19 [39232/49812]	Loss: 0.8364	LR: 0.020000
Training Epoch: 19 [39296/49812]	Loss: 0.7910	LR: 0.020000
Training Epoch: 19 [39360/49812]	Loss: 0.7849	LR: 0.020000
Training Epoch: 19 [39424/49812]	Loss: 0.9143	LR: 0.020000
Training Epoch: 19 [39488/49812]	Loss: 0.8505	LR: 0.020000
Training Epoch: 19 [39552/49812]	Loss: 0.9361	LR: 0.020000
Training Epoch: 19 [39616/49812]	Loss: 0.8182	LR: 0.020000
Training Epoch: 19 [39680/49812]	Loss: 0.7431	LR: 0.020000
Training Epoch: 19 [39744/49812]	Loss: 0.7892	LR: 0.020000
Training Epoch: 19 [39808/49812]	Loss: 0.7477	LR: 0.020000
Training Epoch: 19 [39872/49812]	Loss: 0.9605	LR: 0.020000
Training Epoch: 19 [39936/49812]	Loss: 0.7502	LR: 0.020000
Training Epoch: 19 [40000/49812]	Loss: 0.6299	LR: 0.020000
Training Epoch: 19 [40064/49812]	Loss: 0.8977	LR: 0.020000
Training Epoch: 19 [40128/49812]	Loss: 1.2837	LR: 0.020000
Training Epoch: 19 [40192/49812]	Loss: 0.8258	LR: 0.020000
Training Epoch: 19 [40256/49812]	Loss: 1.2048	LR: 0.020000
Training Epoch: 19 [40320/49812]	Loss: 0.9204	LR: 0.020000
Training Epoch: 19 [40384/49812]	Loss: 0.8310	LR: 0.020000
Training Epoch: 19 [40448/49812]	Loss: 0.8718	LR: 0.020000
Training Epoch: 19 [40512/49812]	Loss: 0.7367	LR: 0.020000
Training Epoch: 19 [40576/49812]	Loss: 0.9947	LR: 0.020000
Training Epoch: 19 [40640/49812]	Loss: 0.8990	LR: 0.020000
Training Epoch: 19 [40704/49812]	Loss: 0.7149	LR: 0.020000
Training Epoch: 19 [40768/49812]	Loss: 0.8604	LR: 0.020000
Training Epoch: 19 [40832/49812]	Loss: 0.8713	LR: 0.020000
Training Epoch: 19 [40896/49812]	Loss: 0.9994	LR: 0.020000
Training Epoch: 19 [40960/49812]	Loss: 0.8737	LR: 0.020000
Training Epoch: 19 [41024/49812]	Loss: 0.7878	LR: 0.020000
Training Epoch: 19 [41088/49812]	Loss: 1.0763	LR: 0.020000
Training Epoch: 19 [41152/49812]	Loss: 1.0377	LR: 0.020000
Training Epoch: 19 [41216/49812]	Loss: 0.9854	LR: 0.020000
Training Epoch: 19 [41280/49812]	Loss: 1.1517	LR: 0.020000
Training Epoch: 19 [41344/49812]	Loss: 0.7761	LR: 0.020000
Training Epoch: 19 [41408/49812]	Loss: 0.9742	LR: 0.020000
Training Epoch: 19 [41472/49812]	Loss: 1.2002	LR: 0.020000
Training Epoch: 19 [41536/49812]	Loss: 0.8019	LR: 0.020000
Training Epoch: 19 [41600/49812]	Loss: 0.6710	LR: 0.020000
Training Epoch: 19 [41664/49812]	Loss: 0.8610	LR: 0.020000
Training Epoch: 19 [41728/49812]	Loss: 0.9003	LR: 0.020000
Training Epoch: 19 [41792/49812]	Loss: 1.0360	LR: 0.020000
Training Epoch: 19 [41856/49812]	Loss: 0.8706	LR: 0.020000
Training Epoch: 19 [41920/49812]	Loss: 0.8199	LR: 0.020000
Training Epoch: 19 [41984/49812]	Loss: 1.1278	LR: 0.020000
Training Epoch: 19 [42048/49812]	Loss: 1.0872	LR: 0.020000
Training Epoch: 19 [42112/49812]	Loss: 1.3416	LR: 0.020000
Training Epoch: 19 [42176/49812]	Loss: 0.8853	LR: 0.020000
Training Epoch: 19 [42240/49812]	Loss: 0.8415	LR: 0.020000
Training Epoch: 19 [42304/49812]	Loss: 0.9200	LR: 0.020000
Training Epoch: 19 [42368/49812]	Loss: 0.7025	LR: 0.020000
Training Epoch: 19 [42432/49812]	Loss: 0.8556	LR: 0.020000
Training Epoch: 19 [42496/49812]	Loss: 0.6409	LR: 0.020000
Training Epoch: 19 [42560/49812]	Loss: 0.9718	LR: 0.020000
Training Epoch: 19 [42624/49812]	Loss: 0.6956	LR: 0.020000
Training Epoch: 19 [42688/49812]	Loss: 0.9243	LR: 0.020000
Training Epoch: 19 [42752/49812]	Loss: 0.9487	LR: 0.020000
Training Epoch: 19 [42816/49812]	Loss: 0.8420	LR: 0.020000
Training Epoch: 19 [42880/49812]	Loss: 1.2590	LR: 0.020000
Training Epoch: 19 [42944/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 19 [43008/49812]	Loss: 0.8098	LR: 0.020000
Training Epoch: 19 [43072/49812]	Loss: 0.8905	LR: 0.020000
Training Epoch: 19 [43136/49812]	Loss: 0.8012	LR: 0.020000
Training Epoch: 19 [43200/49812]	Loss: 0.9294	LR: 0.020000
Training Epoch: 19 [43264/49812]	Loss: 0.7562	LR: 0.020000
Training Epoch: 19 [43328/49812]	Loss: 0.6366	LR: 0.020000
Training Epoch: 19 [43392/49812]	Loss: 0.6995	LR: 0.020000
Training Epoch: 19 [43456/49812]	Loss: 0.9375	LR: 0.020000
Training Epoch: 19 [43520/49812]	Loss: 0.4769	LR: 0.020000
Training Epoch: 19 [43584/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 19 [43648/49812]	Loss: 0.7877	LR: 0.020000
Training Epoch: 19 [43712/49812]	Loss: 0.6810	LR: 0.020000
Training Epoch: 19 [43776/49812]	Loss: 0.7145	LR: 0.020000
Training Epoch: 19 [43840/49812]	Loss: 1.0617	LR: 0.020000
Training Epoch: 19 [43904/49812]	Loss: 0.9593	LR: 0.020000
Training Epoch: 19 [43968/49812]	Loss: 1.1483	LR: 0.020000
Training Epoch: 19 [44032/49812]	Loss: 0.9967	LR: 0.020000
Training Epoch: 19 [44096/49812]	Loss: 0.9976	LR: 0.020000
Training Epoch: 19 [44160/49812]	Loss: 0.8179	LR: 0.020000
Training Epoch: 19 [44224/49812]	Loss: 1.0616	LR: 0.020000
Training Epoch: 19 [44288/49812]	Loss: 0.9988	LR: 0.020000
Training Epoch: 19 [44352/49812]	Loss: 0.8425	LR: 0.020000
Training Epoch: 19 [44416/49812]	Loss: 0.9118	LR: 0.020000
Training Epoch: 19 [44480/49812]	Loss: 0.9567	LR: 0.020000
Training Epoch: 19 [44544/49812]	Loss: 0.8820	LR: 0.020000
Training Epoch: 19 [44608/49812]	Loss: 0.7006	LR: 0.020000
Training Epoch: 19 [44672/49812]	Loss: 0.9626	LR: 0.020000
Training Epoch: 19 [44736/49812]	Loss: 1.1406	LR: 0.020000
Training Epoch: 19 [44800/49812]	Loss: 0.7075	LR: 0.020000
Training Epoch: 19 [44864/49812]	Loss: 0.9328	LR: 0.020000
Training Epoch: 19 [44928/49812]	Loss: 0.9722	LR: 0.020000
Training Epoch: 19 [44992/49812]	Loss: 1.0202	LR: 0.020000
Training Epoch: 19 [45056/49812]	Loss: 1.0361	LR: 0.020000
Training Epoch: 19 [45120/49812]	Loss: 1.1120	LR: 0.020000
Training Epoch: 19 [45184/49812]	Loss: 0.9970	LR: 0.020000
Training Epoch: 19 [45248/49812]	Loss: 0.6158	LR: 0.020000
Training Epoch: 19 [45312/49812]	Loss: 0.5646	LR: 0.020000
Training Epoch: 19 [45376/49812]	Loss: 0.7147	LR: 0.020000
Training Epoch: 19 [45440/49812]	Loss: 0.8127	LR: 0.020000
Training Epoch: 19 [45504/49812]	Loss: 0.8771	LR: 0.020000
Training Epoch: 19 [45568/49812]	Loss: 0.8643	LR: 0.020000
Training Epoch: 19 [45632/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 19 [45696/49812]	Loss: 0.5457	LR: 0.020000
Training Epoch: 19 [45760/49812]	Loss: 0.8846	LR: 0.020000
Training Epoch: 19 [45824/49812]	Loss: 1.0632	LR: 0.020000
Training Epoch: 19 [45888/49812]	Loss: 1.0197	LR: 0.020000
Training Epoch: 19 [45952/49812]	Loss: 0.8610	LR: 0.020000
Training Epoch: 19 [46016/49812]	Loss: 0.7743	LR: 0.020000
Training Epoch: 19 [46080/49812]	Loss: 0.6675	LR: 0.020000
Training Epoch: 19 [46144/49812]	Loss: 0.6114	LR: 0.020000
Training Epoch: 19 [46208/49812]	Loss: 0.7112	LR: 0.020000
Training Epoch: 19 [46272/49812]	Loss: 1.0446	LR: 0.020000
Training Epoch: 19 [46336/49812]	Loss: 1.0647	LR: 0.020000
Training Epoch: 19 [46400/49812]	Loss: 0.8521	LR: 0.020000
Training Epoch: 19 [46464/49812]	Loss: 0.7874	LR: 0.020000
Training Epoch: 19 [46528/49812]	Loss: 1.0086	LR: 0.020000
Training Epoch: 19 [46592/49812]	Loss: 0.8768	LR: 0.020000
Training Epoch: 19 [46656/49812]	Loss: 0.8173	LR: 0.020000
Training Epoch: 19 [46720/49812]	Loss: 0.9835	LR: 0.020000
Training Epoch: 19 [46784/49812]	Loss: 1.1640	LR: 0.020000
Training Epoch: 19 [46848/49812]	Loss: 0.8909	LR: 0.020000
Training Epoch: 19 [46912/49812]	Loss: 1.0046	LR: 0.020000
Training Epoch: 19 [46976/49812]	Loss: 0.7096	LR: 0.020000
Training Epoch: 19 [47040/49812]	Loss: 0.9079	LR: 0.020000
Training Epoch: 19 [47104/49812]	Loss: 0.4374	LR: 0.020000
Training Epoch: 19 [47168/49812]	Loss: 0.8972	LR: 0.020000
Training Epoch: 19 [47232/49812]	Loss: 0.6997	LR: 0.020000
Training Epoch: 19 [47296/49812]	Loss: 1.1038	LR: 0.020000
Training Epoch: 19 [47360/49812]	Loss: 0.9100	LR: 0.020000
Training Epoch: 19 [47424/49812]	Loss: 0.8687	LR: 0.020000
Training Epoch: 19 [47488/49812]	Loss: 0.7465	LR: 0.020000
Training Epoch: 19 [47552/49812]	Loss: 0.9353	LR: 0.020000
Training Epoch: 19 [47616/49812]	Loss: 0.9972	LR: 0.020000
Training Epoch: 19 [47680/49812]	Loss: 0.9587	LR: 0.020000
Training Epoch: 19 [47744/49812]	Loss: 0.8132	LR: 0.020000
Training Epoch: 19 [47808/49812]	Loss: 0.8402	LR: 0.020000
Training Epoch: 19 [47872/49812]	Loss: 0.6892	LR: 0.020000
Training Epoch: 19 [47936/49812]	Loss: 0.9371	LR: 0.020000
Training Epoch: 19 [48000/49812]	Loss: 0.7752	LR: 0.020000
Training Epoch: 19 [48064/49812]	Loss: 1.2562	LR: 0.020000
Training Epoch: 19 [48128/49812]	Loss: 0.8030	LR: 0.020000
Training Epoch: 19 [48192/49812]	Loss: 0.7070	LR: 0.020000
Training Epoch: 19 [48256/49812]	Loss: 0.8546	LR: 0.020000
Training Epoch: 19 [48320/49812]	Loss: 0.6177	LR: 0.020000
Training Epoch: 19 [48384/49812]	Loss: 0.8927	LR: 0.020000
Training Epoch: 19 [48448/49812]	Loss: 1.0057	LR: 0.020000
Training Epoch: 19 [48512/49812]	Loss: 0.9769	LR: 0.020000
Training Epoch: 19 [48576/49812]	Loss: 0.8201	LR: 0.020000
Training Epoch: 19 [48640/49812]	Loss: 1.0676	LR: 0.020000
Training Epoch: 19 [48704/49812]	Loss: 0.7640	LR: 0.020000
Training Epoch: 19 [48768/49812]	Loss: 1.1168	LR: 0.020000
Training Epoch: 19 [48832/49812]	Loss: 0.8347	LR: 0.020000
Training Epoch: 19 [48896/49812]	Loss: 0.8197	LR: 0.020000
Training Epoch: 19 [48960/49812]	Loss: 0.7970	LR: 0.020000
Training Epoch: 19 [49024/49812]	Loss: 0.7781	LR: 0.020000
Training Epoch: 19 [49088/49812]	Loss: 1.2154	LR: 0.020000
Training Epoch: 19 [49152/49812]	Loss: 0.7932	LR: 0.020000
Training Epoch: 19 [49216/49812]	Loss: 0.9924	LR: 0.020000
Training Epoch: 19 [49280/49812]	Loss: 0.9282	LR: 0.020000
Training Epoch: 19 [49344/49812]	Loss: 0.7659	LR: 0.020000
Training Epoch: 19 [49408/49812]	Loss: 0.8225	LR: 0.020000
Training Epoch: 19 [49472/49812]	Loss: 0.7301	LR: 0.020000
Training Epoch: 19 [49536/49812]	Loss: 0.9332	LR: 0.020000
Training Epoch: 19 [49600/49812]	Loss: 0.8611	LR: 0.020000
Training Epoch: 19 [49664/49812]	Loss: 0.7450	LR: 0.020000
Training Epoch: 19 [49728/49812]	Loss: 1.0586	LR: 0.020000
Training Epoch: 19 [49792/49812]	Loss: 0.8297	LR: 0.020000
Training Epoch: 19 [49812/49812]	Loss: 0.6975	LR: 0.020000
Epoch 19 - Average Train Loss: 0.8581, Train Accuracy: 0.7260
Epoch 19 training time consumed: 264.88s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0145, Accuracy: 0.7048, Time consumed:17.41s
Training Epoch: 20 [64/49812]	Loss: 0.9722	LR: 0.020000
Training Epoch: 20 [128/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 20 [192/49812]	Loss: 0.9161	LR: 0.020000
Training Epoch: 20 [256/49812]	Loss: 0.7124	LR: 0.020000
Training Epoch: 20 [320/49812]	Loss: 0.9544	LR: 0.020000
Training Epoch: 20 [384/49812]	Loss: 0.7634	LR: 0.020000
Training Epoch: 20 [448/49812]	Loss: 0.7158	LR: 0.020000
Training Epoch: 20 [512/49812]	Loss: 0.6101	LR: 0.020000
Training Epoch: 20 [576/49812]	Loss: 0.9482	LR: 0.020000
Training Epoch: 20 [640/49812]	Loss: 0.7683	LR: 0.020000
Training Epoch: 20 [704/49812]	Loss: 0.8249	LR: 0.020000
Training Epoch: 20 [768/49812]	Loss: 0.7889	LR: 0.020000
Training Epoch: 20 [832/49812]	Loss: 0.9377	LR: 0.020000
Training Epoch: 20 [896/49812]	Loss: 0.9443	LR: 0.020000
Training Epoch: 20 [960/49812]	Loss: 0.6462	LR: 0.020000
Training Epoch: 20 [1024/49812]	Loss: 1.0243	LR: 0.020000
Training Epoch: 20 [1088/49812]	Loss: 1.1930	LR: 0.020000
Training Epoch: 20 [1152/49812]	Loss: 0.8882	LR: 0.020000
Training Epoch: 20 [1216/49812]	Loss: 0.8415	LR: 0.020000
Training Epoch: 20 [1280/49812]	Loss: 0.8972	LR: 0.020000
Training Epoch: 20 [1344/49812]	Loss: 0.9464	LR: 0.020000
Training Epoch: 20 [1408/49812]	Loss: 0.6342	LR: 0.020000
Training Epoch: 20 [1472/49812]	Loss: 1.0712	LR: 0.020000
Training Epoch: 20 [1536/49812]	Loss: 0.8655	LR: 0.020000
Training Epoch: 20 [1600/49812]	Loss: 0.9710	LR: 0.020000
Training Epoch: 20 [1664/49812]	Loss: 0.7389	LR: 0.020000
Training Epoch: 20 [1728/49812]	Loss: 0.8699	LR: 0.020000
Training Epoch: 20 [1792/49812]	Loss: 1.0433	LR: 0.020000
Training Epoch: 20 [1856/49812]	Loss: 0.6124	LR: 0.020000
Training Epoch: 20 [1920/49812]	Loss: 0.8137	LR: 0.020000
Training Epoch: 20 [1984/49812]	Loss: 0.9471	LR: 0.020000
Training Epoch: 20 [2048/49812]	Loss: 0.8473	LR: 0.020000
Training Epoch: 20 [2112/49812]	Loss: 0.8054	LR: 0.020000
Training Epoch: 20 [2176/49812]	Loss: 1.1340	LR: 0.020000
Training Epoch: 20 [2240/49812]	Loss: 0.8908	LR: 0.020000
Training Epoch: 20 [2304/49812]	Loss: 0.6350	LR: 0.020000
Training Epoch: 20 [2368/49812]	Loss: 0.8943	LR: 0.020000
Training Epoch: 20 [2432/49812]	Loss: 0.8912	LR: 0.020000
Training Epoch: 20 [2496/49812]	Loss: 0.9117	LR: 0.020000
Training Epoch: 20 [2560/49812]	Loss: 0.7963	LR: 0.020000
Training Epoch: 20 [2624/49812]	Loss: 0.6682	LR: 0.020000
Training Epoch: 20 [2688/49812]	Loss: 0.7749	LR: 0.020000
Training Epoch: 20 [2752/49812]	Loss: 0.7439	LR: 0.020000
Training Epoch: 20 [2816/49812]	Loss: 0.7213	LR: 0.020000
Training Epoch: 20 [2880/49812]	Loss: 0.6441	LR: 0.020000
Training Epoch: 20 [2944/49812]	Loss: 0.9850	LR: 0.020000
Training Epoch: 20 [3008/49812]	Loss: 0.8288	LR: 0.020000
Training Epoch: 20 [3072/49812]	Loss: 0.7839	LR: 0.020000
Training Epoch: 20 [3136/49812]	Loss: 0.9433	LR: 0.020000
Training Epoch: 20 [3200/49812]	Loss: 0.7399	LR: 0.020000
Training Epoch: 20 [3264/49812]	Loss: 0.9696	LR: 0.020000
Training Epoch: 20 [3328/49812]	Loss: 0.8796	LR: 0.020000
Training Epoch: 20 [3392/49812]	Loss: 0.8956	LR: 0.020000
Training Epoch: 20 [3456/49812]	Loss: 0.8073	LR: 0.020000
Training Epoch: 20 [3520/49812]	Loss: 0.6820	LR: 0.020000
Training Epoch: 20 [3584/49812]	Loss: 0.7773	LR: 0.020000
Training Epoch: 20 [3648/49812]	Loss: 1.0457	LR: 0.020000
Training Epoch: 20 [3712/49812]	Loss: 0.9316	LR: 0.020000
Training Epoch: 20 [3776/49812]	Loss: 0.7044	LR: 0.020000
Training Epoch: 20 [3840/49812]	Loss: 1.0870	LR: 0.020000
Training Epoch: 20 [3904/49812]	Loss: 0.7399	LR: 0.020000
Training Epoch: 20 [3968/49812]	Loss: 1.0196	LR: 0.020000
Training Epoch: 20 [4032/49812]	Loss: 0.9883	LR: 0.020000
Training Epoch: 20 [4096/49812]	Loss: 1.0380	LR: 0.020000
Training Epoch: 20 [4160/49812]	Loss: 0.8423	LR: 0.020000
Training Epoch: 20 [4224/49812]	Loss: 1.0843	LR: 0.020000
Training Epoch: 20 [4288/49812]	Loss: 0.7385	LR: 0.020000
Training Epoch: 20 [4352/49812]	Loss: 0.9750	LR: 0.020000
Training Epoch: 20 [4416/49812]	Loss: 0.8168	LR: 0.020000
Training Epoch: 20 [4480/49812]	Loss: 0.8235	LR: 0.020000
Training Epoch: 20 [4544/49812]	Loss: 0.7273	LR: 0.020000
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Training Epoch: 20 [4672/49812]	Loss: 0.7155	LR: 0.020000
Training Epoch: 20 [4736/49812]	Loss: 0.8398	LR: 0.020000
Training Epoch: 20 [4800/49812]	Loss: 0.8781	LR: 0.020000
Training Epoch: 20 [4864/49812]	Loss: 0.7223	LR: 0.020000
Training Epoch: 20 [4928/49812]	Loss: 0.8164	LR: 0.020000
Training Epoch: 20 [4992/49812]	Loss: 0.8333	LR: 0.020000
Training Epoch: 20 [5056/49812]	Loss: 0.9267	LR: 0.020000
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Training Epoch: 20 [5312/49812]	Loss: 1.0522	LR: 0.020000
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Training Epoch: 20 [5440/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 20 [5504/49812]	Loss: 0.9152	LR: 0.020000
Training Epoch: 20 [5568/49812]	Loss: 0.8288	LR: 0.020000
Training Epoch: 20 [5632/49812]	Loss: 0.9208	LR: 0.020000
Training Epoch: 20 [5696/49812]	Loss: 0.8382	LR: 0.020000
Training Epoch: 20 [5760/49812]	Loss: 0.9212	LR: 0.020000
Training Epoch: 20 [5824/49812]	Loss: 0.7240	LR: 0.020000
Training Epoch: 20 [5888/49812]	Loss: 0.7029	LR: 0.020000
Training Epoch: 20 [5952/49812]	Loss: 0.7272	LR: 0.020000
Training Epoch: 20 [6016/49812]	Loss: 0.7139	LR: 0.020000
Training Epoch: 20 [6080/49812]	Loss: 0.7983	LR: 0.020000
Training Epoch: 20 [6144/49812]	Loss: 0.9162	LR: 0.020000
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Training Epoch: 20 [6272/49812]	Loss: 0.6408	LR: 0.020000
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Training Epoch: 20 [6528/49812]	Loss: 0.8825	LR: 0.020000
Training Epoch: 20 [6592/49812]	Loss: 0.7285	LR: 0.020000
Training Epoch: 20 [6656/49812]	Loss: 0.7404	LR: 0.020000
Training Epoch: 20 [6720/49812]	Loss: 1.0208	LR: 0.020000
Training Epoch: 20 [6784/49812]	Loss: 0.8187	LR: 0.020000
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Training Epoch: 20 [6912/49812]	Loss: 0.7442	LR: 0.020000
Training Epoch: 20 [6976/49812]	Loss: 0.9848	LR: 0.020000
Training Epoch: 20 [7040/49812]	Loss: 1.1225	LR: 0.020000
Training Epoch: 20 [7104/49812]	Loss: 0.6898	LR: 0.020000
Training Epoch: 20 [7168/49812]	Loss: 0.8775	LR: 0.020000
Training Epoch: 20 [7232/49812]	Loss: 0.8967	LR: 0.020000
Training Epoch: 20 [7296/49812]	Loss: 0.7467	LR: 0.020000
Training Epoch: 20 [7360/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 20 [7424/49812]	Loss: 0.6736	LR: 0.020000
Training Epoch: 20 [7488/49812]	Loss: 0.8188	LR: 0.020000
Training Epoch: 20 [7552/49812]	Loss: 0.8583	LR: 0.020000
Training Epoch: 20 [7616/49812]	Loss: 0.7854	LR: 0.020000
Training Epoch: 20 [7680/49812]	Loss: 0.6259	LR: 0.020000
Training Epoch: 20 [7744/49812]	Loss: 0.8482	LR: 0.020000
Training Epoch: 20 [7808/49812]	Loss: 0.8388	LR: 0.020000
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Training Epoch: 20 [7936/49812]	Loss: 0.8175	LR: 0.020000
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Training Epoch: 20 [8064/49812]	Loss: 1.0848	LR: 0.020000
Training Epoch: 20 [8128/49812]	Loss: 0.7244	LR: 0.020000
Training Epoch: 20 [8192/49812]	Loss: 0.7073	LR: 0.020000
Training Epoch: 20 [8256/49812]	Loss: 0.7975	LR: 0.020000
Training Epoch: 20 [8320/49812]	Loss: 0.8559	LR: 0.020000
Training Epoch: 20 [8384/49812]	Loss: 0.6639	LR: 0.020000
Training Epoch: 20 [8448/49812]	Loss: 0.7064	LR: 0.020000
Training Epoch: 20 [8512/49812]	Loss: 0.8102	LR: 0.020000
Training Epoch: 20 [8576/49812]	Loss: 0.7724	LR: 0.020000
Training Epoch: 20 [8640/49812]	Loss: 0.9284	LR: 0.020000
Training Epoch: 20 [8704/49812]	Loss: 0.6946	LR: 0.020000
Training Epoch: 20 [8768/49812]	Loss: 0.8536	LR: 0.020000
Training Epoch: 20 [8832/49812]	Loss: 0.8187	LR: 0.020000
Training Epoch: 20 [8896/49812]	Loss: 1.0174	LR: 0.020000
Training Epoch: 20 [8960/49812]	Loss: 0.8290	LR: 0.020000
Training Epoch: 20 [9024/49812]	Loss: 0.8224	LR: 0.020000
Training Epoch: 20 [9088/49812]	Loss: 0.7657	LR: 0.020000
Training Epoch: 20 [9152/49812]	Loss: 0.9224	LR: 0.020000
Training Epoch: 20 [9216/49812]	Loss: 0.5862	LR: 0.020000
Training Epoch: 20 [9280/49812]	Loss: 0.6986	LR: 0.020000
Training Epoch: 20 [9344/49812]	Loss: 0.7728	LR: 0.020000
Training Epoch: 20 [9408/49812]	Loss: 0.7546	LR: 0.020000
Training Epoch: 20 [9472/49812]	Loss: 0.8489	LR: 0.020000
Training Epoch: 20 [9536/49812]	Loss: 0.6889	LR: 0.020000
Training Epoch: 20 [9600/49812]	Loss: 1.0462	LR: 0.020000
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Training Epoch: 20 [12032/49812]	Loss: 1.0543	LR: 0.020000
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Training Epoch: 20 [13632/49812]	Loss: 1.0908	LR: 0.020000
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Training Epoch: 20 [15616/49812]	Loss: 1.2226	LR: 0.020000
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Training Epoch: 20 [15744/49812]	Loss: 0.8865	LR: 0.020000
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Training Epoch: 20 [16256/49812]	Loss: 1.0790	LR: 0.020000
Training Epoch: 20 [16320/49812]	Loss: 0.9549	LR: 0.020000
Training Epoch: 20 [16384/49812]	Loss: 0.9990	LR: 0.020000
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Training Epoch: 20 [16832/49812]	Loss: 0.9471	LR: 0.020000
Training Epoch: 20 [16896/49812]	Loss: 0.6860	LR: 0.020000
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Training Epoch: 20 [17024/49812]	Loss: 1.3027	LR: 0.020000
Training Epoch: 20 [17088/49812]	Loss: 1.1324	LR: 0.020000
Training Epoch: 20 [17152/49812]	Loss: 0.7079	LR: 0.020000
Training Epoch: 20 [17216/49812]	Loss: 0.9046	LR: 0.020000
Training Epoch: 20 [17280/49812]	Loss: 1.0647	LR: 0.020000
Training Epoch: 20 [17344/49812]	Loss: 0.9252	LR: 0.020000
Training Epoch: 20 [17408/49812]	Loss: 0.7689	LR: 0.020000
Training Epoch: 20 [17472/49812]	Loss: 0.7731	LR: 0.020000
Training Epoch: 20 [17536/49812]	Loss: 0.7130	LR: 0.020000
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Training Epoch: 20 [17664/49812]	Loss: 0.8511	LR: 0.020000
Training Epoch: 20 [17728/49812]	Loss: 0.7610	LR: 0.020000
Training Epoch: 20 [17792/49812]	Loss: 1.2044	LR: 0.020000
Training Epoch: 20 [17856/49812]	Loss: 0.8166	LR: 0.020000
Training Epoch: 20 [17920/49812]	Loss: 0.7285	LR: 0.020000
Training Epoch: 20 [17984/49812]	Loss: 0.7137	LR: 0.020000
Training Epoch: 20 [18048/49812]	Loss: 0.8212	LR: 0.020000
Training Epoch: 20 [18112/49812]	Loss: 0.7546	LR: 0.020000
Training Epoch: 20 [18176/49812]	Loss: 1.1818	LR: 0.020000
Training Epoch: 20 [18240/49812]	Loss: 0.9925	LR: 0.020000
Training Epoch: 20 [18304/49812]	Loss: 0.9451	LR: 0.020000
Training Epoch: 20 [18368/49812]	Loss: 0.8577	LR: 0.020000
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Training Epoch: 20 [18496/49812]	Loss: 0.9324	LR: 0.020000
Training Epoch: 20 [18560/49812]	Loss: 0.7877	LR: 0.020000
Training Epoch: 20 [18624/49812]	Loss: 0.8978	LR: 0.020000
Training Epoch: 20 [18688/49812]	Loss: 0.8453	LR: 0.020000
Training Epoch: 20 [18752/49812]	Loss: 0.8027	LR: 0.020000
Training Epoch: 20 [18816/49812]	Loss: 0.9953	LR: 0.020000
Training Epoch: 20 [18880/49812]	Loss: 0.8372	LR: 0.020000
Training Epoch: 20 [18944/49812]	Loss: 0.9427	LR: 0.020000
Training Epoch: 20 [19008/49812]	Loss: 1.2784	LR: 0.020000
Training Epoch: 20 [19072/49812]	Loss: 0.8295	LR: 0.020000
Training Epoch: 20 [19136/49812]	Loss: 0.7237	LR: 0.020000
Training Epoch: 20 [19200/49812]	Loss: 0.9620	LR: 0.020000
Training Epoch: 20 [19264/49812]	Loss: 0.6293	LR: 0.020000
Training Epoch: 20 [19328/49812]	Loss: 0.7073	LR: 0.020000
Training Epoch: 20 [19392/49812]	Loss: 0.5829	LR: 0.020000
Training Epoch: 20 [19456/49812]	Loss: 0.8774	LR: 0.020000
Training Epoch: 20 [19520/49812]	Loss: 0.9674	LR: 0.020000
Training Epoch: 20 [19584/49812]	Loss: 0.6819	LR: 0.020000
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Training Epoch: 20 [19712/49812]	Loss: 0.7471	LR: 0.020000
Training Epoch: 20 [19776/49812]	Loss: 0.9438	LR: 0.020000
Training Epoch: 20 [19840/49812]	Loss: 0.9408	LR: 0.020000
Training Epoch: 20 [19904/49812]	Loss: 1.0269	LR: 0.020000
Training Epoch: 20 [19968/49812]	Loss: 0.8612	LR: 0.020000
Training Epoch: 20 [20032/49812]	Loss: 0.6599	LR: 0.020000
Training Epoch: 20 [20096/49812]	Loss: 0.7485	LR: 0.020000
Training Epoch: 20 [20160/49812]	Loss: 0.8307	LR: 0.020000
Training Epoch: 20 [20224/49812]	Loss: 0.9365	LR: 0.020000
Training Epoch: 20 [20288/49812]	Loss: 0.7291	LR: 0.020000
Training Epoch: 20 [20352/49812]	Loss: 0.7886	LR: 0.020000
Training Epoch: 20 [20416/49812]	Loss: 0.8993	LR: 0.020000
Training Epoch: 20 [20480/49812]	Loss: 0.7870	LR: 0.020000
Training Epoch: 20 [20544/49812]	Loss: 1.0114	LR: 0.020000
Training Epoch: 20 [20608/49812]	Loss: 0.6985	LR: 0.020000
Training Epoch: 20 [20672/49812]	Loss: 0.6927	LR: 0.020000
Training Epoch: 20 [20736/49812]	Loss: 1.1301	LR: 0.020000
Training Epoch: 20 [20800/49812]	Loss: 0.9570	LR: 0.020000
Training Epoch: 20 [20864/49812]	Loss: 0.8399	LR: 0.020000
Training Epoch: 20 [20928/49812]	Loss: 1.0922	LR: 0.020000
Training Epoch: 20 [20992/49812]	Loss: 0.7392	LR: 0.020000
Training Epoch: 20 [21056/49812]	Loss: 0.8764	LR: 0.020000
Training Epoch: 20 [21120/49812]	Loss: 0.7451	LR: 0.020000
Training Epoch: 20 [21184/49812]	Loss: 0.9076	LR: 0.020000
Training Epoch: 20 [21248/49812]	Loss: 1.0911	LR: 0.020000
Training Epoch: 20 [21312/49812]	Loss: 0.8946	LR: 0.020000
Training Epoch: 20 [21376/49812]	Loss: 0.6654	LR: 0.020000
Training Epoch: 20 [21440/49812]	Loss: 0.8459	LR: 0.020000
Training Epoch: 20 [21504/49812]	Loss: 0.7480	LR: 0.020000
Training Epoch: 20 [21568/49812]	Loss: 0.7516	LR: 0.020000
Training Epoch: 20 [21632/49812]	Loss: 1.0885	LR: 0.020000
Training Epoch: 20 [21696/49812]	Loss: 0.6697	LR: 0.020000
Training Epoch: 20 [21760/49812]	Loss: 0.7916	LR: 0.020000
Training Epoch: 20 [21824/49812]	Loss: 0.7121	LR: 0.020000
Training Epoch: 20 [21888/49812]	Loss: 0.7005	LR: 0.020000
Training Epoch: 20 [21952/49812]	Loss: 0.8822	LR: 0.020000
Training Epoch: 20 [22016/49812]	Loss: 0.6794	LR: 0.020000
Training Epoch: 20 [22080/49812]	Loss: 0.9811	LR: 0.020000
Training Epoch: 20 [22144/49812]	Loss: 1.1291	LR: 0.020000
Training Epoch: 20 [22208/49812]	Loss: 0.8713	LR: 0.020000
Training Epoch: 20 [22272/49812]	Loss: 0.9630	LR: 0.020000
Training Epoch: 20 [22336/49812]	Loss: 0.7508	LR: 0.020000
Training Epoch: 20 [22400/49812]	Loss: 0.9842	LR: 0.020000
Training Epoch: 20 [22464/49812]	Loss: 0.8746	LR: 0.020000
Training Epoch: 20 [22528/49812]	Loss: 0.6295	LR: 0.020000
Training Epoch: 20 [22592/49812]	Loss: 0.8551	LR: 0.020000
Training Epoch: 20 [22656/49812]	Loss: 0.7916	LR: 0.020000
Training Epoch: 20 [22720/49812]	Loss: 0.7799	LR: 0.020000
Training Epoch: 20 [22784/49812]	Loss: 0.6711	LR: 0.020000
Training Epoch: 20 [22848/49812]	Loss: 0.8920	LR: 0.020000
Training Epoch: 20 [22912/49812]	Loss: 0.7222	LR: 0.020000
Training Epoch: 20 [22976/49812]	Loss: 0.9956	LR: 0.020000
Training Epoch: 20 [23040/49812]	Loss: 0.7833	LR: 0.020000
Training Epoch: 20 [23104/49812]	Loss: 0.8998	LR: 0.020000
Training Epoch: 20 [23168/49812]	Loss: 1.1041	LR: 0.020000
Training Epoch: 20 [23232/49812]	Loss: 0.9833	LR: 0.020000
Training Epoch: 20 [23296/49812]	Loss: 1.0514	LR: 0.020000
Training Epoch: 20 [23360/49812]	Loss: 0.6169	LR: 0.020000
Training Epoch: 20 [23424/49812]	Loss: 0.7214	LR: 0.020000
Training Epoch: 20 [23488/49812]	Loss: 0.6127	LR: 0.020000
Training Epoch: 20 [23552/49812]	Loss: 0.7475	LR: 0.020000
Training Epoch: 20 [23616/49812]	Loss: 0.7583	LR: 0.020000
Training Epoch: 20 [23680/49812]	Loss: 0.8478	LR: 0.020000
Training Epoch: 20 [23744/49812]	Loss: 0.5714	LR: 0.020000
Training Epoch: 20 [23808/49812]	Loss: 0.9034	LR: 0.020000
Training Epoch: 20 [23872/49812]	Loss: 0.7567	LR: 0.020000
Training Epoch: 20 [23936/49812]	Loss: 0.8548	LR: 0.020000
Training Epoch: 20 [24000/49812]	Loss: 0.7207	LR: 0.020000
Training Epoch: 20 [24064/49812]	Loss: 0.5911	LR: 0.020000
Training Epoch: 20 [24128/49812]	Loss: 0.8903	LR: 0.020000
Training Epoch: 20 [24192/49812]	Loss: 0.9409	LR: 0.020000
Training Epoch: 20 [24256/49812]	Loss: 0.7362	LR: 0.020000
Training Epoch: 20 [24320/49812]	Loss: 0.8954	LR: 0.020000
Training Epoch: 20 [24384/49812]	Loss: 0.5539	LR: 0.020000
Training Epoch: 20 [24448/49812]	Loss: 0.9027	LR: 0.020000
Training Epoch: 20 [24512/49812]	Loss: 0.9991	LR: 0.020000
Training Epoch: 20 [24576/49812]	Loss: 0.6908	LR: 0.020000
Training Epoch: 20 [24640/49812]	Loss: 0.8784	LR: 0.020000
Training Epoch: 20 [24704/49812]	Loss: 0.8709	LR: 0.020000
Training Epoch: 20 [24768/49812]	Loss: 0.7754	LR: 0.020000
Training Epoch: 20 [24832/49812]	Loss: 0.9620	LR: 0.020000
Training Epoch: 20 [24896/49812]	Loss: 0.7403	LR: 0.020000
Training Epoch: 20 [24960/49812]	Loss: 0.6965	LR: 0.020000
Training Epoch: 20 [25024/49812]	Loss: 0.6930	LR: 0.020000
Training Epoch: 20 [25088/49812]	Loss: 0.9959	LR: 0.020000
Training Epoch: 20 [25152/49812]	Loss: 0.9167	LR: 0.020000
Training Epoch: 20 [25216/49812]	Loss: 0.8429	LR: 0.020000
Training Epoch: 20 [25280/49812]	Loss: 0.6185	LR: 0.020000
Training Epoch: 20 [25344/49812]	Loss: 0.7680	LR: 0.020000
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Training Epoch: 20 [25472/49812]	Loss: 0.7297	LR: 0.020000
Training Epoch: 20 [25536/49812]	Loss: 0.7023	LR: 0.020000
Training Epoch: 20 [25600/49812]	Loss: 0.8541	LR: 0.020000
Training Epoch: 20 [25664/49812]	Loss: 1.1163	LR: 0.020000
Training Epoch: 20 [25728/49812]	Loss: 0.8649	LR: 0.020000
Training Epoch: 20 [25792/49812]	Loss: 1.0591	LR: 0.020000
Training Epoch: 20 [25856/49812]	Loss: 0.7605	LR: 0.020000
Training Epoch: 20 [25920/49812]	Loss: 1.0795	LR: 0.020000
Training Epoch: 20 [25984/49812]	Loss: 0.9530	LR: 0.020000
Training Epoch: 20 [26048/49812]	Loss: 1.1042	LR: 0.020000
Training Epoch: 20 [26112/49812]	Loss: 0.9611	LR: 0.020000
Training Epoch: 20 [26176/49812]	Loss: 0.8320	LR: 0.020000
Training Epoch: 20 [26240/49812]	Loss: 0.8356	LR: 0.020000
Training Epoch: 20 [26304/49812]	Loss: 0.8294	LR: 0.020000
Training Epoch: 20 [26368/49812]	Loss: 0.9262	LR: 0.020000
Training Epoch: 20 [26432/49812]	Loss: 1.0733	LR: 0.020000
Training Epoch: 20 [26496/49812]	Loss: 0.9518	LR: 0.020000
Training Epoch: 20 [26560/49812]	Loss: 0.7222	LR: 0.020000
Training Epoch: 20 [26624/49812]	Loss: 1.0175	LR: 0.020000
Training Epoch: 20 [26688/49812]	Loss: 1.0780	LR: 0.020000
Training Epoch: 20 [26752/49812]	Loss: 0.8074	LR: 0.020000
Training Epoch: 20 [26816/49812]	Loss: 0.8218	LR: 0.020000
Training Epoch: 20 [26880/49812]	Loss: 1.2215	LR: 0.020000
Training Epoch: 20 [26944/49812]	Loss: 0.9648	LR: 0.020000
Training Epoch: 20 [27008/49812]	Loss: 0.8482	LR: 0.020000
Training Epoch: 20 [27072/49812]	Loss: 0.9714	LR: 0.020000
Training Epoch: 20 [27136/49812]	Loss: 0.9167	LR: 0.020000
Training Epoch: 20 [27200/49812]	Loss: 0.7228	LR: 0.020000
Training Epoch: 20 [27264/49812]	Loss: 0.6759	LR: 0.020000
Training Epoch: 20 [27328/49812]	Loss: 0.9264	LR: 0.020000
Training Epoch: 20 [27392/49812]	Loss: 0.7672	LR: 0.020000
Training Epoch: 20 [27456/49812]	Loss: 0.9828	LR: 0.020000
Training Epoch: 20 [27520/49812]	Loss: 0.7860	LR: 0.020000
Training Epoch: 20 [27584/49812]	Loss: 0.6744	LR: 0.020000
Training Epoch: 20 [27648/49812]	Loss: 0.8583	LR: 0.020000
Training Epoch: 20 [27712/49812]	Loss: 0.7912	LR: 0.020000
Training Epoch: 20 [27776/49812]	Loss: 0.8675	LR: 0.020000
Training Epoch: 20 [27840/49812]	Loss: 0.8905	LR: 0.020000
Training Epoch: 20 [27904/49812]	Loss: 1.0164	LR: 0.020000
Training Epoch: 20 [27968/49812]	Loss: 0.8936	LR: 0.020000
Training Epoch: 20 [28032/49812]	Loss: 0.7478	LR: 0.020000
Training Epoch: 20 [28096/49812]	Loss: 0.8911	LR: 0.020000
Training Epoch: 20 [28160/49812]	Loss: 0.9603	LR: 0.020000
Training Epoch: 20 [28224/49812]	Loss: 0.8180	LR: 0.020000
Training Epoch: 20 [28288/49812]	Loss: 0.9395	LR: 0.020000
Training Epoch: 20 [28352/49812]	Loss: 1.0051	LR: 0.020000
Training Epoch: 20 [28416/49812]	Loss: 0.7249	LR: 0.020000
Training Epoch: 20 [28480/49812]	Loss: 0.7930	LR: 0.020000
Training Epoch: 20 [28544/49812]	Loss: 0.7563	LR: 0.020000
Training Epoch: 20 [28608/49812]	Loss: 0.9059	LR: 0.020000
Training Epoch: 20 [28672/49812]	Loss: 0.6101	LR: 0.020000
Training Epoch: 20 [28736/49812]	Loss: 0.6243	LR: 0.020000
Training Epoch: 20 [28800/49812]	Loss: 0.9034	LR: 0.020000
Training Epoch: 20 [28864/49812]	Loss: 1.2106	LR: 0.020000
Training Epoch: 20 [28928/49812]	Loss: 1.2306	LR: 0.020000
Training Epoch: 20 [28992/49812]	Loss: 1.0796	LR: 0.020000
Training Epoch: 20 [29056/49812]	Loss: 1.0577	LR: 0.020000
Training Epoch: 20 [29120/49812]	Loss: 0.8000	LR: 0.020000
Training Epoch: 20 [29184/49812]	Loss: 0.9235	LR: 0.020000
Training Epoch: 20 [29248/49812]	Loss: 0.7472	LR: 0.020000
Training Epoch: 20 [29312/49812]	Loss: 0.6991	LR: 0.020000
Training Epoch: 20 [29376/49812]	Loss: 0.8831	LR: 0.020000
Training Epoch: 20 [29440/49812]	Loss: 1.0583	LR: 0.020000
Training Epoch: 20 [29504/49812]	Loss: 1.0607	LR: 0.020000
Training Epoch: 20 [29568/49812]	Loss: 0.8603	LR: 0.020000
Training Epoch: 20 [29632/49812]	Loss: 0.9905	LR: 0.020000
Training Epoch: 20 [29696/49812]	Loss: 1.0237	LR: 0.020000
Training Epoch: 20 [29760/49812]	Loss: 0.7460	LR: 0.020000
Training Epoch: 20 [29824/49812]	Loss: 0.6858	LR: 0.020000
Training Epoch: 20 [29888/49812]	Loss: 1.0516	LR: 0.020000
Training Epoch: 20 [29952/49812]	Loss: 1.1677	LR: 0.020000
Training Epoch: 20 [30016/49812]	Loss: 0.9502	LR: 0.020000
Training Epoch: 20 [30080/49812]	Loss: 0.9193	LR: 0.020000
Training Epoch: 20 [30144/49812]	Loss: 0.7652	LR: 0.020000
Training Epoch: 20 [30208/49812]	Loss: 0.9091	LR: 0.020000
Training Epoch: 20 [30272/49812]	Loss: 0.9223	LR: 0.020000
Training Epoch: 20 [30336/49812]	Loss: 0.9421	LR: 0.020000
Training Epoch: 20 [30400/49812]	Loss: 0.7227	LR: 0.020000
Training Epoch: 20 [30464/49812]	Loss: 0.8588	LR: 0.020000
Training Epoch: 20 [30528/49812]	Loss: 0.8763	LR: 0.020000
Training Epoch: 20 [30592/49812]	Loss: 0.8003	LR: 0.020000
Training Epoch: 20 [30656/49812]	Loss: 0.8765	LR: 0.020000
Training Epoch: 20 [30720/49812]	Loss: 0.9320	LR: 0.020000
Training Epoch: 20 [30784/49812]	Loss: 0.6812	LR: 0.020000
Training Epoch: 20 [30848/49812]	Loss: 0.9874	LR: 0.020000
Training Epoch: 20 [30912/49812]	Loss: 0.6822	LR: 0.020000
Training Epoch: 20 [30976/49812]	Loss: 0.8472	LR: 0.020000
Training Epoch: 20 [31040/49812]	Loss: 0.8648	LR: 0.020000
Training Epoch: 20 [31104/49812]	Loss: 0.6928	LR: 0.020000
Training Epoch: 20 [31168/49812]	Loss: 0.6490	LR: 0.020000
Training Epoch: 20 [31232/49812]	Loss: 0.8951	LR: 0.020000
Training Epoch: 20 [31296/49812]	Loss: 0.9102	LR: 0.020000
Training Epoch: 20 [31360/49812]	Loss: 1.1590	LR: 0.020000
Training Epoch: 20 [31424/49812]	Loss: 0.8085	LR: 0.020000
Training Epoch: 20 [31488/49812]	Loss: 1.0288	LR: 0.020000
Training Epoch: 20 [31552/49812]	Loss: 0.7975	LR: 0.020000
Training Epoch: 20 [31616/49812]	Loss: 0.7356	LR: 0.020000
Training Epoch: 20 [31680/49812]	Loss: 0.6193	LR: 0.020000
Training Epoch: 20 [31744/49812]	Loss: 0.9531	LR: 0.020000
Training Epoch: 20 [31808/49812]	Loss: 0.7947	LR: 0.020000
Training Epoch: 20 [31872/49812]	Loss: 0.9215	LR: 0.020000
Training Epoch: 20 [31936/49812]	Loss: 0.6918	LR: 0.020000
Training Epoch: 20 [32000/49812]	Loss: 0.7485	LR: 0.020000
Training Epoch: 20 [32064/49812]	Loss: 0.7953	LR: 0.020000
Training Epoch: 20 [32128/49812]	Loss: 0.9513	LR: 0.020000
Training Epoch: 20 [32192/49812]	Loss: 0.9480	LR: 0.020000
Training Epoch: 20 [32256/49812]	Loss: 0.6976	LR: 0.020000
Training Epoch: 20 [32320/49812]	Loss: 1.0408	LR: 0.020000
Training Epoch: 20 [32384/49812]	Loss: 0.7995	LR: 0.020000
Training Epoch: 20 [32448/49812]	Loss: 0.8544	LR: 0.020000
Training Epoch: 20 [32512/49812]	Loss: 0.7338	LR: 0.020000
Training Epoch: 20 [32576/49812]	Loss: 0.9671	LR: 0.020000
Training Epoch: 20 [32640/49812]	Loss: 1.0658	LR: 0.020000
Training Epoch: 20 [32704/49812]	Loss: 0.8597	LR: 0.020000
Training Epoch: 20 [32768/49812]	Loss: 0.9799	LR: 0.020000
Training Epoch: 20 [32832/49812]	Loss: 0.9441	LR: 0.020000
Training Epoch: 20 [32896/49812]	Loss: 0.8527	LR: 0.020000
Training Epoch: 20 [32960/49812]	Loss: 0.8531	LR: 0.020000
Training Epoch: 20 [33024/49812]	Loss: 0.7090	LR: 0.020000
Training Epoch: 20 [33088/49812]	Loss: 1.0329	LR: 0.020000
Training Epoch: 20 [33152/49812]	Loss: 0.8846	LR: 0.020000
Training Epoch: 20 [33216/49812]	Loss: 0.8607	LR: 0.020000
Training Epoch: 20 [33280/49812]	Loss: 0.8664	LR: 0.020000
Training Epoch: 20 [33344/49812]	Loss: 0.8082	LR: 0.020000
Training Epoch: 20 [33408/49812]	Loss: 0.9783	LR: 0.020000
Training Epoch: 20 [33472/49812]	Loss: 0.6725	LR: 0.020000
Training Epoch: 20 [33536/49812]	Loss: 0.8729	LR: 0.020000
Training Epoch: 20 [33600/49812]	Loss: 0.8193	LR: 0.020000
Training Epoch: 20 [33664/49812]	Loss: 0.7705	LR: 0.020000
Training Epoch: 20 [33728/49812]	Loss: 0.7429	LR: 0.020000
Training Epoch: 20 [33792/49812]	Loss: 0.7828	LR: 0.020000
Training Epoch: 20 [33856/49812]	Loss: 0.8060	LR: 0.020000
Training Epoch: 20 [33920/49812]	Loss: 1.0667	LR: 0.020000
Training Epoch: 20 [33984/49812]	Loss: 0.6764	LR: 0.020000
Training Epoch: 20 [34048/49812]	Loss: 0.7714	LR: 0.020000
Training Epoch: 20 [34112/49812]	Loss: 1.0478	LR: 0.020000
Training Epoch: 20 [34176/49812]	Loss: 0.9314	LR: 0.020000
Training Epoch: 20 [34240/49812]	Loss: 0.8683	LR: 0.020000
Training Epoch: 20 [34304/49812]	Loss: 0.5552	LR: 0.020000
Training Epoch: 20 [34368/49812]	Loss: 0.9167	LR: 0.020000
Training Epoch: 20 [34432/49812]	Loss: 0.7592	LR: 0.020000
Training Epoch: 20 [34496/49812]	Loss: 0.6392	LR: 0.020000
Training Epoch: 20 [34560/49812]	Loss: 0.9264	LR: 0.020000
Training Epoch: 20 [34624/49812]	Loss: 1.2671	LR: 0.020000
Training Epoch: 20 [34688/49812]	Loss: 0.8631	LR: 0.020000
Training Epoch: 20 [34752/49812]	Loss: 0.7622	LR: 0.020000
Training Epoch: 20 [34816/49812]	Loss: 0.8466	LR: 0.020000
Training Epoch: 20 [34880/49812]	Loss: 0.9195	LR: 0.020000
Training Epoch: 20 [34944/49812]	Loss: 0.8214	LR: 0.020000
Training Epoch: 20 [35008/49812]	Loss: 0.8442	LR: 0.020000
Training Epoch: 20 [35072/49812]	Loss: 0.9781	LR: 0.020000
Training Epoch: 20 [35136/49812]	Loss: 1.0358	LR: 0.020000
Training Epoch: 20 [35200/49812]	Loss: 1.1728	LR: 0.020000
Training Epoch: 20 [35264/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 20 [35328/49812]	Loss: 0.8558	LR: 0.020000
Training Epoch: 20 [35392/49812]	Loss: 0.7740	LR: 0.020000
Training Epoch: 20 [35456/49812]	Loss: 1.0941	LR: 0.020000
Training Epoch: 20 [35520/49812]	Loss: 0.8100	LR: 0.020000
Training Epoch: 20 [35584/49812]	Loss: 0.8157	LR: 0.020000
Training Epoch: 20 [35648/49812]	Loss: 0.9515	LR: 0.020000
Training Epoch: 20 [35712/49812]	Loss: 0.7592	LR: 0.020000
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Training Epoch: 20 [49812/49812]	Loss: 0.9997	LR: 0.020000
Epoch 20 - Average Train Loss: 0.8612, Train Accuracy: 0.7234
Epoch 20 training time consumed: 266.04s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0143, Accuracy: 0.7162, Time consumed:17.56s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-20-best.pth
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Training Epoch: 21 [4160/49812]	Loss: 0.5773	LR: 0.020000
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Training Epoch: 21 [4288/49812]	Loss: 0.7452	LR: 0.020000
Training Epoch: 21 [4352/49812]	Loss: 0.7886	LR: 0.020000
Training Epoch: 21 [4416/49812]	Loss: 0.8551	LR: 0.020000
Training Epoch: 21 [4480/49812]	Loss: 1.0523	LR: 0.020000
Training Epoch: 21 [4544/49812]	Loss: 0.7628	LR: 0.020000
Training Epoch: 21 [4608/49812]	Loss: 0.7452	LR: 0.020000
Training Epoch: 21 [4672/49812]	Loss: 0.9403	LR: 0.020000
Training Epoch: 21 [4736/49812]	Loss: 0.9199	LR: 0.020000
Training Epoch: 21 [4800/49812]	Loss: 0.8290	LR: 0.020000
Training Epoch: 21 [4864/49812]	Loss: 0.9063	LR: 0.020000
Training Epoch: 21 [4928/49812]	Loss: 0.9210	LR: 0.020000
Training Epoch: 21 [4992/49812]	Loss: 1.2241	LR: 0.020000
Training Epoch: 21 [5056/49812]	Loss: 0.6133	LR: 0.020000
Training Epoch: 21 [5120/49812]	Loss: 0.9225	LR: 0.020000
Training Epoch: 21 [5184/49812]	Loss: 0.8178	LR: 0.020000
Training Epoch: 21 [5248/49812]	Loss: 0.7736	LR: 0.020000
Training Epoch: 21 [5312/49812]	Loss: 0.7744	LR: 0.020000
Training Epoch: 21 [5376/49812]	Loss: 0.6887	LR: 0.020000
Training Epoch: 21 [5440/49812]	Loss: 0.7926	LR: 0.020000
Training Epoch: 21 [5504/49812]	Loss: 0.7274	LR: 0.020000
Training Epoch: 21 [5568/49812]	Loss: 0.9002	LR: 0.020000
Training Epoch: 21 [5632/49812]	Loss: 0.7068	LR: 0.020000
Training Epoch: 21 [5696/49812]	Loss: 0.6569	LR: 0.020000
Training Epoch: 21 [5760/49812]	Loss: 0.8299	LR: 0.020000
Training Epoch: 21 [5824/49812]	Loss: 0.6726	LR: 0.020000
Training Epoch: 21 [5888/49812]	Loss: 0.7853	LR: 0.020000
Training Epoch: 21 [5952/49812]	Loss: 0.8092	LR: 0.020000
Training Epoch: 21 [6016/49812]	Loss: 0.9206	LR: 0.020000
Training Epoch: 21 [6080/49812]	Loss: 0.7646	LR: 0.020000
Training Epoch: 21 [6144/49812]	Loss: 1.0019	LR: 0.020000
Training Epoch: 21 [6208/49812]	Loss: 0.9412	LR: 0.020000
Training Epoch: 21 [6272/49812]	Loss: 0.6632	LR: 0.020000
Training Epoch: 21 [6336/49812]	Loss: 1.0274	LR: 0.020000
Training Epoch: 21 [6400/49812]	Loss: 0.8583	LR: 0.020000
Training Epoch: 21 [6464/49812]	Loss: 0.7250	LR: 0.020000
Training Epoch: 21 [6528/49812]	Loss: 0.7928	LR: 0.020000
Training Epoch: 21 [6592/49812]	Loss: 0.8103	LR: 0.020000
Training Epoch: 21 [6656/49812]	Loss: 0.4861	LR: 0.020000
Training Epoch: 21 [6720/49812]	Loss: 0.8497	LR: 0.020000
Training Epoch: 21 [6784/49812]	Loss: 0.7410	LR: 0.020000
Training Epoch: 21 [6848/49812]	Loss: 0.9037	LR: 0.020000
Training Epoch: 21 [6912/49812]	Loss: 0.8609	LR: 0.020000
Training Epoch: 21 [6976/49812]	Loss: 0.9667	LR: 0.020000
Training Epoch: 21 [7040/49812]	Loss: 0.7235	LR: 0.020000
Training Epoch: 21 [7104/49812]	Loss: 0.9345	LR: 0.020000
Training Epoch: 21 [7168/49812]	Loss: 1.0016	LR: 0.020000
Training Epoch: 21 [7232/49812]	Loss: 0.8270	LR: 0.020000
Training Epoch: 21 [7296/49812]	Loss: 0.8306	LR: 0.020000
Training Epoch: 21 [7360/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 21 [7424/49812]	Loss: 0.8964	LR: 0.020000
Training Epoch: 21 [7488/49812]	Loss: 0.9057	LR: 0.020000
Training Epoch: 21 [7552/49812]	Loss: 0.7489	LR: 0.020000
Training Epoch: 21 [7616/49812]	Loss: 0.6380	LR: 0.020000
Training Epoch: 21 [7680/49812]	Loss: 0.7605	LR: 0.020000
Training Epoch: 21 [7744/49812]	Loss: 0.8059	LR: 0.020000
Training Epoch: 21 [7808/49812]	Loss: 0.7516	LR: 0.020000
Training Epoch: 21 [7872/49812]	Loss: 0.9413	LR: 0.020000
Training Epoch: 21 [7936/49812]	Loss: 0.9668	LR: 0.020000
Training Epoch: 21 [8000/49812]	Loss: 0.6590	LR: 0.020000
Training Epoch: 21 [8064/49812]	Loss: 0.9976	LR: 0.020000
Training Epoch: 21 [8128/49812]	Loss: 0.8899	LR: 0.020000
Training Epoch: 21 [8192/49812]	Loss: 0.8676	LR: 0.020000
Training Epoch: 21 [8256/49812]	Loss: 0.6405	LR: 0.020000
Training Epoch: 21 [8320/49812]	Loss: 0.9058	LR: 0.020000
Training Epoch: 21 [8384/49812]	Loss: 0.7271	LR: 0.020000
Training Epoch: 21 [8448/49812]	Loss: 0.7356	LR: 0.020000
Training Epoch: 21 [8512/49812]	Loss: 0.7683	LR: 0.020000
Training Epoch: 21 [8576/49812]	Loss: 0.6176	LR: 0.020000
Training Epoch: 21 [8640/49812]	Loss: 0.9252	LR: 0.020000
Training Epoch: 21 [8704/49812]	Loss: 0.8163	LR: 0.020000
Training Epoch: 21 [8768/49812]	Loss: 0.6454	LR: 0.020000
Training Epoch: 21 [8832/49812]	Loss: 0.7285	LR: 0.020000
Training Epoch: 21 [8896/49812]	Loss: 1.0837	LR: 0.020000
Training Epoch: 21 [8960/49812]	Loss: 0.6867	LR: 0.020000
Training Epoch: 21 [9024/49812]	Loss: 1.1099	LR: 0.020000
Training Epoch: 21 [9088/49812]	Loss: 0.9412	LR: 0.020000
Training Epoch: 21 [9152/49812]	Loss: 0.7027	LR: 0.020000
Training Epoch: 21 [9216/49812]	Loss: 0.8095	LR: 0.020000
Training Epoch: 21 [9280/49812]	Loss: 0.9920	LR: 0.020000
Training Epoch: 21 [9344/49812]	Loss: 0.8099	LR: 0.020000
Training Epoch: 21 [9408/49812]	Loss: 0.7046	LR: 0.020000
Training Epoch: 21 [9472/49812]	Loss: 0.7435	LR: 0.020000
Training Epoch: 21 [9536/49812]	Loss: 0.6833	LR: 0.020000
Training Epoch: 21 [9600/49812]	Loss: 0.8572	LR: 0.020000
Training Epoch: 21 [9664/49812]	Loss: 0.7803	LR: 0.020000
Training Epoch: 21 [9728/49812]	Loss: 1.1179	LR: 0.020000
Training Epoch: 21 [9792/49812]	Loss: 1.0371	LR: 0.020000
Training Epoch: 21 [9856/49812]	Loss: 0.8800	LR: 0.020000
Training Epoch: 21 [9920/49812]	Loss: 0.9131	LR: 0.020000
Training Epoch: 21 [9984/49812]	Loss: 0.8701	LR: 0.020000
Training Epoch: 21 [10048/49812]	Loss: 0.7562	LR: 0.020000
Training Epoch: 21 [10112/49812]	Loss: 0.8481	LR: 0.020000
Training Epoch: 21 [10176/49812]	Loss: 0.8598	LR: 0.020000
Training Epoch: 21 [10240/49812]	Loss: 0.8376	LR: 0.020000
Training Epoch: 21 [10304/49812]	Loss: 0.9726	LR: 0.020000
Training Epoch: 21 [10368/49812]	Loss: 0.7724	LR: 0.020000
Training Epoch: 21 [10432/49812]	Loss: 0.6514	LR: 0.020000
Training Epoch: 21 [10496/49812]	Loss: 0.5291	LR: 0.020000
Training Epoch: 21 [10560/49812]	Loss: 0.8108	LR: 0.020000
Training Epoch: 21 [10624/49812]	Loss: 0.6884	LR: 0.020000
Training Epoch: 21 [10688/49812]	Loss: 0.9441	LR: 0.020000
Training Epoch: 21 [10752/49812]	Loss: 0.8467	LR: 0.020000
Training Epoch: 21 [10816/49812]	Loss: 0.6190	LR: 0.020000
Training Epoch: 21 [10880/49812]	Loss: 0.8793	LR: 0.020000
Training Epoch: 21 [10944/49812]	Loss: 1.1867	LR: 0.020000
Training Epoch: 21 [11008/49812]	Loss: 0.7809	LR: 0.020000
Training Epoch: 21 [11072/49812]	Loss: 0.8160	LR: 0.020000
Training Epoch: 21 [11136/49812]	Loss: 0.9299	LR: 0.020000
Training Epoch: 21 [11200/49812]	Loss: 0.9057	LR: 0.020000
Training Epoch: 21 [11264/49812]	Loss: 1.0704	LR: 0.020000
Training Epoch: 21 [11328/49812]	Loss: 0.9208	LR: 0.020000
Training Epoch: 21 [11392/49812]	Loss: 1.0290	LR: 0.020000
Training Epoch: 21 [11456/49812]	Loss: 0.8544	LR: 0.020000
Training Epoch: 21 [11520/49812]	Loss: 0.9289	LR: 0.020000
Training Epoch: 21 [11584/49812]	Loss: 0.8420	LR: 0.020000
Training Epoch: 21 [11648/49812]	Loss: 1.0392	LR: 0.020000
Training Epoch: 21 [11712/49812]	Loss: 0.8592	LR: 0.020000
Training Epoch: 21 [11776/49812]	Loss: 1.1730	LR: 0.020000
Training Epoch: 21 [11840/49812]	Loss: 1.0185	LR: 0.020000
Training Epoch: 21 [11904/49812]	Loss: 1.0707	LR: 0.020000
Training Epoch: 21 [11968/49812]	Loss: 0.8034	LR: 0.020000
Training Epoch: 21 [12032/49812]	Loss: 1.3092	LR: 0.020000
Training Epoch: 21 [12096/49812]	Loss: 1.0769	LR: 0.020000
Training Epoch: 21 [12160/49812]	Loss: 1.0786	LR: 0.020000
Training Epoch: 21 [12224/49812]	Loss: 0.9042	LR: 0.020000
Training Epoch: 21 [12288/49812]	Loss: 0.7986	LR: 0.020000
Training Epoch: 21 [12352/49812]	Loss: 0.8658	LR: 0.020000
Training Epoch: 21 [12416/49812]	Loss: 1.0533	LR: 0.020000
Training Epoch: 21 [12480/49812]	Loss: 0.6776	LR: 0.020000
Training Epoch: 21 [12544/49812]	Loss: 0.8169	LR: 0.020000
Training Epoch: 21 [12608/49812]	Loss: 0.9925	LR: 0.020000
Training Epoch: 21 [12672/49812]	Loss: 0.7334	LR: 0.020000
Training Epoch: 21 [12736/49812]	Loss: 0.8288	LR: 0.020000
Training Epoch: 21 [12800/49812]	Loss: 1.0102	LR: 0.020000
Training Epoch: 21 [12864/49812]	Loss: 0.8029	LR: 0.020000
Training Epoch: 21 [12928/49812]	Loss: 0.6846	LR: 0.020000
Training Epoch: 21 [12992/49812]	Loss: 1.2816	LR: 0.020000
Training Epoch: 21 [13056/49812]	Loss: 0.8951	LR: 0.020000
Training Epoch: 21 [13120/49812]	Loss: 0.6651	LR: 0.020000
Training Epoch: 21 [13184/49812]	Loss: 0.8470	LR: 0.020000
Training Epoch: 21 [13248/49812]	Loss: 0.8518	LR: 0.020000
Training Epoch: 21 [13312/49812]	Loss: 0.7027	LR: 0.020000
Training Epoch: 21 [13376/49812]	Loss: 0.7070	LR: 0.020000
Training Epoch: 21 [13440/49812]	Loss: 0.6659	LR: 0.020000
Training Epoch: 21 [13504/49812]	Loss: 0.9017	LR: 0.020000
Training Epoch: 21 [13568/49812]	Loss: 1.2265	LR: 0.020000
Training Epoch: 21 [13632/49812]	Loss: 0.9715	LR: 0.020000
Training Epoch: 21 [13696/49812]	Loss: 0.6968	LR: 0.020000
Training Epoch: 21 [13760/49812]	Loss: 0.9827	LR: 0.020000
Training Epoch: 21 [13824/49812]	Loss: 0.7872	LR: 0.020000
Training Epoch: 21 [13888/49812]	Loss: 1.0972	LR: 0.020000
Training Epoch: 21 [13952/49812]	Loss: 1.0488	LR: 0.020000
Training Epoch: 21 [14016/49812]	Loss: 0.7671	LR: 0.020000
Training Epoch: 21 [14080/49812]	Loss: 0.7275	LR: 0.020000
Training Epoch: 21 [14144/49812]	Loss: 0.7629	LR: 0.020000
Training Epoch: 21 [14208/49812]	Loss: 0.6760	LR: 0.020000
Training Epoch: 21 [14272/49812]	Loss: 1.0205	LR: 0.020000
Training Epoch: 21 [14336/49812]	Loss: 1.1540	LR: 0.020000
Training Epoch: 21 [14400/49812]	Loss: 0.6332	LR: 0.020000
Training Epoch: 21 [14464/49812]	Loss: 0.7565	LR: 0.020000
Training Epoch: 21 [14528/49812]	Loss: 1.2521	LR: 0.020000
Training Epoch: 21 [14592/49812]	Loss: 0.9049	LR: 0.020000
Training Epoch: 21 [14656/49812]	Loss: 0.5366	LR: 0.020000
Training Epoch: 21 [14720/49812]	Loss: 0.6006	LR: 0.020000
Training Epoch: 21 [14784/49812]	Loss: 0.7585	LR: 0.020000
Training Epoch: 21 [14848/49812]	Loss: 0.7661	LR: 0.020000
Training Epoch: 21 [14912/49812]	Loss: 0.7759	LR: 0.020000
Training Epoch: 21 [14976/49812]	Loss: 0.9583	LR: 0.020000
Training Epoch: 21 [15040/49812]	Loss: 0.9269	LR: 0.020000
Training Epoch: 21 [15104/49812]	Loss: 0.6347	LR: 0.020000
Training Epoch: 21 [15168/49812]	Loss: 0.8029	LR: 0.020000
Training Epoch: 21 [15232/49812]	Loss: 0.8387	LR: 0.020000
Training Epoch: 21 [15296/49812]	Loss: 0.8205	LR: 0.020000
Training Epoch: 21 [15360/49812]	Loss: 0.9071	LR: 0.020000
Training Epoch: 21 [15424/49812]	Loss: 0.9182	LR: 0.020000
Training Epoch: 21 [15488/49812]	Loss: 0.7861	LR: 0.020000
Training Epoch: 21 [15552/49812]	Loss: 0.9581	LR: 0.020000
Training Epoch: 21 [15616/49812]	Loss: 0.8066	LR: 0.020000
Training Epoch: 21 [15680/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 21 [15744/49812]	Loss: 0.6844	LR: 0.020000
Training Epoch: 21 [15808/49812]	Loss: 0.6229	LR: 0.020000
Training Epoch: 21 [15872/49812]	Loss: 0.6396	LR: 0.020000
Training Epoch: 21 [15936/49812]	Loss: 1.2670	LR: 0.020000
Training Epoch: 21 [16000/49812]	Loss: 0.8662	LR: 0.020000
Training Epoch: 21 [16064/49812]	Loss: 0.6981	LR: 0.020000
Training Epoch: 21 [16128/49812]	Loss: 0.7917	LR: 0.020000
Training Epoch: 21 [16192/49812]	Loss: 0.6730	LR: 0.020000
Training Epoch: 21 [16256/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 21 [16320/49812]	Loss: 0.5196	LR: 0.020000
Training Epoch: 21 [16384/49812]	Loss: 0.7978	LR: 0.020000
Training Epoch: 21 [16448/49812]	Loss: 0.9972	LR: 0.020000
Training Epoch: 21 [16512/49812]	Loss: 1.2008	LR: 0.020000
Training Epoch: 21 [16576/49812]	Loss: 1.0041	LR: 0.020000
Training Epoch: 21 [16640/49812]	Loss: 0.7627	LR: 0.020000
Training Epoch: 21 [16704/49812]	Loss: 0.9853	LR: 0.020000
Training Epoch: 21 [16768/49812]	Loss: 0.7658	LR: 0.020000
Training Epoch: 21 [16832/49812]	Loss: 0.5821	LR: 0.020000
Training Epoch: 21 [16896/49812]	Loss: 0.8744	LR: 0.020000
Training Epoch: 21 [16960/49812]	Loss: 0.6836	LR: 0.020000
Training Epoch: 21 [17024/49812]	Loss: 0.6341	LR: 0.020000
Training Epoch: 21 [17088/49812]	Loss: 0.8375	LR: 0.020000
Training Epoch: 21 [17152/49812]	Loss: 0.9644	LR: 0.020000
Training Epoch: 21 [17216/49812]	Loss: 0.9404	LR: 0.020000
Training Epoch: 21 [17280/49812]	Loss: 0.7382	LR: 0.020000
Training Epoch: 21 [17344/49812]	Loss: 0.8229	LR: 0.020000
Training Epoch: 21 [17408/49812]	Loss: 1.1198	LR: 0.020000
Training Epoch: 21 [17472/49812]	Loss: 0.7533	LR: 0.020000
Training Epoch: 21 [17536/49812]	Loss: 0.8629	LR: 0.020000
Training Epoch: 21 [17600/49812]	Loss: 0.7702	LR: 0.020000
Training Epoch: 21 [17664/49812]	Loss: 0.7521	LR: 0.020000
Training Epoch: 21 [17728/49812]	Loss: 0.9366	LR: 0.020000
Training Epoch: 21 [17792/49812]	Loss: 0.7104	LR: 0.020000
Training Epoch: 21 [17856/49812]	Loss: 0.9391	LR: 0.020000
Training Epoch: 21 [17920/49812]	Loss: 0.7319	LR: 0.020000
Training Epoch: 21 [17984/49812]	Loss: 0.8806	LR: 0.020000
Training Epoch: 21 [18048/49812]	Loss: 0.7111	LR: 0.020000
Training Epoch: 21 [18112/49812]	Loss: 0.7656	LR: 0.020000
Training Epoch: 21 [18176/49812]	Loss: 0.6603	LR: 0.020000
Training Epoch: 21 [18240/49812]	Loss: 0.7755	LR: 0.020000
Training Epoch: 21 [18304/49812]	Loss: 0.7801	LR: 0.020000
Training Epoch: 21 [18368/49812]	Loss: 0.8924	LR: 0.020000
Training Epoch: 21 [18432/49812]	Loss: 0.7354	LR: 0.020000
Training Epoch: 21 [18496/49812]	Loss: 0.8486	LR: 0.020000
Training Epoch: 21 [18560/49812]	Loss: 0.8942	LR: 0.020000
Training Epoch: 21 [18624/49812]	Loss: 1.1278	LR: 0.020000
Training Epoch: 21 [18688/49812]	Loss: 0.6268	LR: 0.020000
Training Epoch: 21 [18752/49812]	Loss: 0.7289	LR: 0.020000
Training Epoch: 21 [18816/49812]	Loss: 1.0795	LR: 0.020000
Training Epoch: 21 [18880/49812]	Loss: 0.6249	LR: 0.020000
Training Epoch: 21 [18944/49812]	Loss: 0.8347	LR: 0.020000
Training Epoch: 21 [19008/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 21 [19072/49812]	Loss: 0.7467	LR: 0.020000
Training Epoch: 21 [19136/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 21 [19200/49812]	Loss: 0.7403	LR: 0.020000
Training Epoch: 21 [19264/49812]	Loss: 0.8055	LR: 0.020000
Training Epoch: 21 [19328/49812]	Loss: 1.0536	LR: 0.020000
Training Epoch: 21 [19392/49812]	Loss: 0.7923	LR: 0.020000
Training Epoch: 21 [19456/49812]	Loss: 0.8008	LR: 0.020000
Training Epoch: 21 [19520/49812]	Loss: 0.9406	LR: 0.020000
Training Epoch: 21 [19584/49812]	Loss: 0.8540	LR: 0.020000
Training Epoch: 21 [19648/49812]	Loss: 1.0309	LR: 0.020000
Training Epoch: 21 [19712/49812]	Loss: 0.8153	LR: 0.020000
Training Epoch: 21 [19776/49812]	Loss: 0.8892	LR: 0.020000
Training Epoch: 21 [19840/49812]	Loss: 0.9256	LR: 0.020000
Training Epoch: 21 [19904/49812]	Loss: 0.9237	LR: 0.020000
Training Epoch: 21 [19968/49812]	Loss: 0.9407	LR: 0.020000
Training Epoch: 21 [20032/49812]	Loss: 0.9034	LR: 0.020000
Training Epoch: 21 [20096/49812]	Loss: 1.1228	LR: 0.020000
Training Epoch: 21 [20160/49812]	Loss: 0.8840	LR: 0.020000
Training Epoch: 21 [20224/49812]	Loss: 1.0103	LR: 0.020000
Training Epoch: 21 [20288/49812]	Loss: 0.9227	LR: 0.020000
Training Epoch: 21 [20352/49812]	Loss: 0.9040	LR: 0.020000
Training Epoch: 21 [20416/49812]	Loss: 0.9927	LR: 0.020000
Training Epoch: 21 [20480/49812]	Loss: 0.7787	LR: 0.020000
Training Epoch: 21 [20544/49812]	Loss: 0.8430	LR: 0.020000
Training Epoch: 21 [20608/49812]	Loss: 0.7762	LR: 0.020000
Training Epoch: 21 [20672/49812]	Loss: 0.7088	LR: 0.020000
Training Epoch: 21 [20736/49812]	Loss: 0.6993	LR: 0.020000
Training Epoch: 21 [20800/49812]	Loss: 0.8660	LR: 0.020000
Training Epoch: 21 [20864/49812]	Loss: 0.9884	LR: 0.020000
Training Epoch: 21 [20928/49812]	Loss: 0.9423	LR: 0.020000
Training Epoch: 21 [20992/49812]	Loss: 0.9080	LR: 0.020000
Training Epoch: 21 [21056/49812]	Loss: 0.8970	LR: 0.020000
Training Epoch: 21 [21120/49812]	Loss: 1.0866	LR: 0.020000
Training Epoch: 21 [21184/49812]	Loss: 0.8472	LR: 0.020000
Training Epoch: 21 [21248/49812]	Loss: 0.7351	LR: 0.020000
Training Epoch: 21 [21312/49812]	Loss: 0.8235	LR: 0.020000
Training Epoch: 21 [21376/49812]	Loss: 0.6958	LR: 0.020000
Training Epoch: 21 [21440/49812]	Loss: 0.8823	LR: 0.020000
Training Epoch: 21 [21504/49812]	Loss: 0.6319	LR: 0.020000
Training Epoch: 21 [21568/49812]	Loss: 0.8562	LR: 0.020000
Training Epoch: 21 [21632/49812]	Loss: 0.8895	LR: 0.020000
Training Epoch: 21 [21696/49812]	Loss: 0.9845	LR: 0.020000
Training Epoch: 21 [21760/49812]	Loss: 0.9623	LR: 0.020000
Training Epoch: 21 [21824/49812]	Loss: 0.7709	LR: 0.020000
Training Epoch: 21 [21888/49812]	Loss: 0.4384	LR: 0.020000
Training Epoch: 21 [21952/49812]	Loss: 1.1047	LR: 0.020000
Training Epoch: 21 [22016/49812]	Loss: 0.8221	LR: 0.020000
Training Epoch: 21 [22080/49812]	Loss: 0.7709	LR: 0.020000
Training Epoch: 21 [22144/49812]	Loss: 0.9389	LR: 0.020000
Training Epoch: 21 [22208/49812]	Loss: 0.7765	LR: 0.020000
Training Epoch: 21 [22272/49812]	Loss: 0.6395	LR: 0.020000
Training Epoch: 21 [22336/49812]	Loss: 0.7872	LR: 0.020000
Training Epoch: 21 [22400/49812]	Loss: 1.1084	LR: 0.020000
Training Epoch: 21 [22464/49812]	Loss: 1.0143	LR: 0.020000
Training Epoch: 21 [22528/49812]	Loss: 0.8291	LR: 0.020000
Training Epoch: 21 [22592/49812]	Loss: 0.6207	LR: 0.020000
Training Epoch: 21 [22656/49812]	Loss: 0.8829	LR: 0.020000
Training Epoch: 21 [22720/49812]	Loss: 0.8149	LR: 0.020000
Training Epoch: 21 [22784/49812]	Loss: 0.9693	LR: 0.020000
Training Epoch: 21 [22848/49812]	Loss: 1.0846	LR: 0.020000
Training Epoch: 21 [22912/49812]	Loss: 0.6196	LR: 0.020000
Training Epoch: 21 [22976/49812]	Loss: 1.0194	LR: 0.020000
Training Epoch: 21 [23040/49812]	Loss: 0.9924	LR: 0.020000
Training Epoch: 21 [23104/49812]	Loss: 0.7655	LR: 0.020000
Training Epoch: 21 [23168/49812]	Loss: 1.1183	LR: 0.020000
Training Epoch: 21 [23232/49812]	Loss: 0.7821	LR: 0.020000
Training Epoch: 21 [23296/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 21 [23360/49812]	Loss: 0.8281	LR: 0.020000
Training Epoch: 21 [23424/49812]	Loss: 0.9077	LR: 0.020000
Training Epoch: 21 [23488/49812]	Loss: 0.8310	LR: 0.020000
Training Epoch: 21 [23552/49812]	Loss: 0.9867	LR: 0.020000
Training Epoch: 21 [23616/49812]	Loss: 1.1468	LR: 0.020000
Training Epoch: 21 [23680/49812]	Loss: 0.7089	LR: 0.020000
Training Epoch: 21 [23744/49812]	Loss: 0.7833	LR: 0.020000
Training Epoch: 21 [23808/49812]	Loss: 0.6752	LR: 0.020000
Training Epoch: 21 [23872/49812]	Loss: 0.8243	LR: 0.020000
Training Epoch: 21 [23936/49812]	Loss: 0.7218	LR: 0.020000
Training Epoch: 21 [24000/49812]	Loss: 0.9253	LR: 0.020000
Training Epoch: 21 [24064/49812]	Loss: 0.7197	LR: 0.020000
Training Epoch: 21 [24128/49812]	Loss: 0.8745	LR: 0.020000
Training Epoch: 21 [24192/49812]	Loss: 0.8774	LR: 0.020000
Training Epoch: 21 [24256/49812]	Loss: 0.9991	LR: 0.020000
Training Epoch: 21 [24320/49812]	Loss: 0.8126	LR: 0.020000
Training Epoch: 21 [24384/49812]	Loss: 1.0461	LR: 0.020000
Training Epoch: 21 [24448/49812]	Loss: 0.8014	LR: 0.020000
Training Epoch: 21 [24512/49812]	Loss: 0.8493	LR: 0.020000
Training Epoch: 21 [24576/49812]	Loss: 0.8869	LR: 0.020000
Training Epoch: 21 [24640/49812]	Loss: 0.9937	LR: 0.020000
Training Epoch: 21 [24704/49812]	Loss: 0.8846	LR: 0.020000
Training Epoch: 21 [24768/49812]	Loss: 0.8674	LR: 0.020000
Training Epoch: 21 [24832/49812]	Loss: 0.6863	LR: 0.020000
Training Epoch: 21 [24896/49812]	Loss: 0.6859	LR: 0.020000
Training Epoch: 21 [24960/49812]	Loss: 0.8588	LR: 0.020000
Training Epoch: 21 [25024/49812]	Loss: 0.9275	LR: 0.020000
Training Epoch: 21 [25088/49812]	Loss: 0.9542	LR: 0.020000
Training Epoch: 21 [25152/49812]	Loss: 1.0929	LR: 0.020000
Training Epoch: 21 [25216/49812]	Loss: 0.9871	LR: 0.020000
Training Epoch: 21 [25280/49812]	Loss: 0.6997	LR: 0.020000
Training Epoch: 21 [25344/49812]	Loss: 0.7995	LR: 0.020000
Training Epoch: 21 [25408/49812]	Loss: 0.8693	LR: 0.020000
Training Epoch: 21 [25472/49812]	Loss: 0.7028	LR: 0.020000
Training Epoch: 21 [25536/49812]	Loss: 0.7585	LR: 0.020000
Training Epoch: 21 [25600/49812]	Loss: 1.1986	LR: 0.020000
Training Epoch: 21 [25664/49812]	Loss: 0.9104	LR: 0.020000
Training Epoch: 21 [25728/49812]	Loss: 0.8862	LR: 0.020000
Training Epoch: 21 [25792/49812]	Loss: 0.7727	LR: 0.020000
Training Epoch: 21 [25856/49812]	Loss: 0.8516	LR: 0.020000
Training Epoch: 21 [25920/49812]	Loss: 0.8826	LR: 0.020000
Training Epoch: 21 [25984/49812]	Loss: 0.7630	LR: 0.020000
Training Epoch: 21 [26048/49812]	Loss: 0.9746	LR: 0.020000
Training Epoch: 21 [26112/49812]	Loss: 1.0079	LR: 0.020000
Training Epoch: 21 [26176/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 21 [26240/49812]	Loss: 0.8488	LR: 0.020000
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Training Epoch: 21 [26368/49812]	Loss: 0.8541	LR: 0.020000
Training Epoch: 21 [26432/49812]	Loss: 0.7847	LR: 0.020000
Training Epoch: 21 [26496/49812]	Loss: 0.8534	LR: 0.020000
Training Epoch: 21 [26560/49812]	Loss: 0.7427	LR: 0.020000
Training Epoch: 21 [26624/49812]	Loss: 0.9549	LR: 0.020000
Training Epoch: 21 [26688/49812]	Loss: 0.8793	LR: 0.020000
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Training Epoch: 21 [26944/49812]	Loss: 0.6478	LR: 0.020000
Training Epoch: 21 [27008/49812]	Loss: 0.6665	LR: 0.020000
Training Epoch: 21 [27072/49812]	Loss: 1.2350	LR: 0.020000
Training Epoch: 21 [27136/49812]	Loss: 0.8603	LR: 0.020000
Training Epoch: 21 [27200/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 21 [27264/49812]	Loss: 0.7566	LR: 0.020000
Training Epoch: 21 [27328/49812]	Loss: 0.8365	LR: 0.020000
Training Epoch: 21 [27392/49812]	Loss: 0.6924	LR: 0.020000
Training Epoch: 21 [27456/49812]	Loss: 1.0087	LR: 0.020000
Training Epoch: 21 [27520/49812]	Loss: 0.8688	LR: 0.020000
Training Epoch: 21 [27584/49812]	Loss: 0.6828	LR: 0.020000
Training Epoch: 21 [27648/49812]	Loss: 0.8396	LR: 0.020000
Training Epoch: 21 [27712/49812]	Loss: 0.8950	LR: 0.020000
Training Epoch: 21 [27776/49812]	Loss: 1.0780	LR: 0.020000
Training Epoch: 21 [27840/49812]	Loss: 1.0201	LR: 0.020000
Training Epoch: 21 [27904/49812]	Loss: 0.6778	LR: 0.020000
Training Epoch: 21 [27968/49812]	Loss: 1.1704	LR: 0.020000
Training Epoch: 21 [28032/49812]	Loss: 1.1042	LR: 0.020000
Training Epoch: 21 [28096/49812]	Loss: 0.8216	LR: 0.020000
Training Epoch: 21 [28160/49812]	Loss: 0.8082	LR: 0.020000
Training Epoch: 21 [28224/49812]	Loss: 0.6311	LR: 0.020000
Training Epoch: 21 [28288/49812]	Loss: 0.9983	LR: 0.020000
Training Epoch: 21 [28352/49812]	Loss: 0.7645	LR: 0.020000
Training Epoch: 21 [28416/49812]	Loss: 0.8737	LR: 0.020000
Training Epoch: 21 [28480/49812]	Loss: 0.9178	LR: 0.020000
Training Epoch: 21 [28544/49812]	Loss: 0.9550	LR: 0.020000
Training Epoch: 21 [28608/49812]	Loss: 0.7542	LR: 0.020000
Training Epoch: 21 [28672/49812]	Loss: 0.7869	LR: 0.020000
Training Epoch: 21 [28736/49812]	Loss: 0.8783	LR: 0.020000
Training Epoch: 21 [28800/49812]	Loss: 0.8992	LR: 0.020000
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Training Epoch: 21 [28928/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 21 [28992/49812]	Loss: 0.9821	LR: 0.020000
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Training Epoch: 21 [29120/49812]	Loss: 0.7930	LR: 0.020000
Training Epoch: 21 [29184/49812]	Loss: 0.8185	LR: 0.020000
Training Epoch: 21 [29248/49812]	Loss: 0.8762	LR: 0.020000
Training Epoch: 21 [29312/49812]	Loss: 0.7164	LR: 0.020000
Training Epoch: 21 [29376/49812]	Loss: 0.9848	LR: 0.020000
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Training Epoch: 21 [29504/49812]	Loss: 0.8692	LR: 0.020000
Training Epoch: 21 [29568/49812]	Loss: 0.8186	LR: 0.020000
Training Epoch: 21 [29632/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 21 [29696/49812]	Loss: 0.9733	LR: 0.020000
Training Epoch: 21 [29760/49812]	Loss: 0.7130	LR: 0.020000
Training Epoch: 21 [29824/49812]	Loss: 0.8286	LR: 0.020000
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Training Epoch: 21 [29952/49812]	Loss: 0.9235	LR: 0.020000
Training Epoch: 21 [30016/49812]	Loss: 0.8590	LR: 0.020000
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Training Epoch: 21 [30144/49812]	Loss: 0.8356	LR: 0.020000
Training Epoch: 21 [30208/49812]	Loss: 0.5545	LR: 0.020000
Training Epoch: 21 [30272/49812]	Loss: 0.9947	LR: 0.020000
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Training Epoch: 21 [30400/49812]	Loss: 0.6596	LR: 0.020000
Training Epoch: 21 [30464/49812]	Loss: 0.5850	LR: 0.020000
Training Epoch: 21 [30528/49812]	Loss: 0.8925	LR: 0.020000
Training Epoch: 21 [30592/49812]	Loss: 1.1250	LR: 0.020000
Training Epoch: 21 [30656/49812]	Loss: 0.7100	LR: 0.020000
Training Epoch: 21 [30720/49812]	Loss: 1.0240	LR: 0.020000
Training Epoch: 21 [30784/49812]	Loss: 0.8630	LR: 0.020000
Training Epoch: 21 [30848/49812]	Loss: 0.9782	LR: 0.020000
Training Epoch: 21 [30912/49812]	Loss: 0.8721	LR: 0.020000
Training Epoch: 21 [30976/49812]	Loss: 0.9197	LR: 0.020000
Training Epoch: 21 [31040/49812]	Loss: 0.8971	LR: 0.020000
Training Epoch: 21 [31104/49812]	Loss: 0.8109	LR: 0.020000
Training Epoch: 21 [31168/49812]	Loss: 1.2661	LR: 0.020000
Training Epoch: 21 [31232/49812]	Loss: 0.6510	LR: 0.020000
Training Epoch: 21 [31296/49812]	Loss: 0.5368	LR: 0.020000
Training Epoch: 21 [31360/49812]	Loss: 0.7397	LR: 0.020000
Training Epoch: 21 [31424/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 21 [31488/49812]	Loss: 0.9335	LR: 0.020000
Training Epoch: 21 [31552/49812]	Loss: 0.7176	LR: 0.020000
Training Epoch: 21 [31616/49812]	Loss: 0.5970	LR: 0.020000
Training Epoch: 21 [31680/49812]	Loss: 0.7883	LR: 0.020000
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Training Epoch: 21 [31872/49812]	Loss: 0.8781	LR: 0.020000
Training Epoch: 21 [31936/49812]	Loss: 0.9702	LR: 0.020000
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Training Epoch: 21 [32064/49812]	Loss: 0.7824	LR: 0.020000
Training Epoch: 21 [32128/49812]	Loss: 0.9848	LR: 0.020000
Training Epoch: 21 [32192/49812]	Loss: 0.8365	LR: 0.020000
Training Epoch: 21 [32256/49812]	Loss: 0.7542	LR: 0.020000
Training Epoch: 21 [32320/49812]	Loss: 0.9969	LR: 0.020000
Training Epoch: 21 [32384/49812]	Loss: 0.6445	LR: 0.020000
Training Epoch: 21 [32448/49812]	Loss: 0.5387	LR: 0.020000
Training Epoch: 21 [32512/49812]	Loss: 0.9442	LR: 0.020000
Training Epoch: 21 [32576/49812]	Loss: 1.0773	LR: 0.020000
Training Epoch: 21 [32640/49812]	Loss: 0.8935	LR: 0.020000
Training Epoch: 21 [32704/49812]	Loss: 0.7889	LR: 0.020000
Training Epoch: 21 [32768/49812]	Loss: 0.8841	LR: 0.020000
Training Epoch: 21 [32832/49812]	Loss: 0.8520	LR: 0.020000
Training Epoch: 21 [32896/49812]	Loss: 0.8965	LR: 0.020000
Training Epoch: 21 [32960/49812]	Loss: 0.8914	LR: 0.020000
Training Epoch: 21 [33024/49812]	Loss: 0.9362	LR: 0.020000
Training Epoch: 21 [33088/49812]	Loss: 0.9236	LR: 0.020000
Training Epoch: 21 [33152/49812]	Loss: 1.0588	LR: 0.020000
Training Epoch: 21 [33216/49812]	Loss: 0.7087	LR: 0.020000
Training Epoch: 21 [33280/49812]	Loss: 0.9391	LR: 0.020000
Training Epoch: 21 [33344/49812]	Loss: 0.7564	LR: 0.020000
Training Epoch: 21 [33408/49812]	Loss: 0.8087	LR: 0.020000
Training Epoch: 21 [33472/49812]	Loss: 0.7966	LR: 0.020000
Training Epoch: 21 [33536/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 21 [33600/49812]	Loss: 1.0110	LR: 0.020000
Training Epoch: 21 [33664/49812]	Loss: 0.7305	LR: 0.020000
Training Epoch: 21 [33728/49812]	Loss: 1.0021	LR: 0.020000
Training Epoch: 21 [33792/49812]	Loss: 0.9068	LR: 0.020000
Training Epoch: 21 [33856/49812]	Loss: 0.8486	LR: 0.020000
Training Epoch: 21 [33920/49812]	Loss: 0.8580	LR: 0.020000
Training Epoch: 21 [33984/49812]	Loss: 0.9635	LR: 0.020000
Training Epoch: 21 [34048/49812]	Loss: 0.8831	LR: 0.020000
Training Epoch: 21 [34112/49812]	Loss: 0.7980	LR: 0.020000
Training Epoch: 21 [34176/49812]	Loss: 0.6863	LR: 0.020000
Training Epoch: 21 [34240/49812]	Loss: 1.0548	LR: 0.020000
Training Epoch: 21 [34304/49812]	Loss: 0.6941	LR: 0.020000
Training Epoch: 21 [34368/49812]	Loss: 0.9638	LR: 0.020000
Training Epoch: 21 [34432/49812]	Loss: 0.8468	LR: 0.020000
Training Epoch: 21 [34496/49812]	Loss: 0.8111	LR: 0.020000
Training Epoch: 21 [34560/49812]	Loss: 1.1424	LR: 0.020000
Training Epoch: 21 [34624/49812]	Loss: 0.7839	LR: 0.020000
Training Epoch: 21 [34688/49812]	Loss: 0.7753	LR: 0.020000
Training Epoch: 21 [34752/49812]	Loss: 0.5893	LR: 0.020000
Training Epoch: 21 [34816/49812]	Loss: 0.7452	LR: 0.020000
Training Epoch: 21 [34880/49812]	Loss: 0.8170	LR: 0.020000
Training Epoch: 21 [34944/49812]	Loss: 0.9843	LR: 0.020000
Training Epoch: 21 [35008/49812]	Loss: 0.6064	LR: 0.020000
Training Epoch: 21 [35072/49812]	Loss: 0.7062	LR: 0.020000
Training Epoch: 21 [35136/49812]	Loss: 0.8724	LR: 0.020000
Training Epoch: 21 [35200/49812]	Loss: 0.7038	LR: 0.020000
Training Epoch: 21 [35264/49812]	Loss: 0.5616	LR: 0.020000
Training Epoch: 21 [35328/49812]	Loss: 0.9070	LR: 0.020000
Training Epoch: 21 [35392/49812]	Loss: 0.6447	LR: 0.020000
Training Epoch: 21 [35456/49812]	Loss: 0.7886	LR: 0.020000
Training Epoch: 21 [35520/49812]	Loss: 1.2268	LR: 0.020000
Training Epoch: 21 [35584/49812]	Loss: 0.8503	LR: 0.020000
Training Epoch: 21 [35648/49812]	Loss: 0.8061	LR: 0.020000
Training Epoch: 21 [35712/49812]	Loss: 0.6595	LR: 0.020000
Training Epoch: 21 [35776/49812]	Loss: 0.9940	LR: 0.020000
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Training Epoch: 21 [35904/49812]	Loss: 1.0411	LR: 0.020000
Training Epoch: 21 [35968/49812]	Loss: 0.6418	LR: 0.020000
Training Epoch: 21 [36032/49812]	Loss: 0.8134	LR: 0.020000
Training Epoch: 21 [36096/49812]	Loss: 0.9158	LR: 0.020000
Training Epoch: 21 [36160/49812]	Loss: 0.9429	LR: 0.020000
Training Epoch: 21 [36224/49812]	Loss: 0.8393	LR: 0.020000
Training Epoch: 21 [36288/49812]	Loss: 1.0724	LR: 0.020000
Training Epoch: 21 [36352/49812]	Loss: 0.7821	LR: 0.020000
Training Epoch: 21 [36416/49812]	Loss: 0.9122	LR: 0.020000
Training Epoch: 21 [36480/49812]	Loss: 0.6658	LR: 0.020000
Training Epoch: 21 [36544/49812]	Loss: 0.9352	LR: 0.020000
Training Epoch: 21 [36608/49812]	Loss: 0.6300	LR: 0.020000
Training Epoch: 21 [36672/49812]	Loss: 0.8414	LR: 0.020000
Training Epoch: 21 [36736/49812]	Loss: 0.7269	LR: 0.020000
Training Epoch: 21 [36800/49812]	Loss: 0.9147	LR: 0.020000
Training Epoch: 21 [36864/49812]	Loss: 0.7053	LR: 0.020000
Training Epoch: 21 [36928/49812]	Loss: 0.8624	LR: 0.020000
Training Epoch: 21 [36992/49812]	Loss: 0.9330	LR: 0.020000
Training Epoch: 21 [37056/49812]	Loss: 0.7099	LR: 0.020000
Training Epoch: 21 [37120/49812]	Loss: 1.0915	LR: 0.020000
Training Epoch: 21 [37184/49812]	Loss: 1.0903	LR: 0.020000
Training Epoch: 21 [37248/49812]	Loss: 0.9857	LR: 0.020000
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Training Epoch: 21 [37376/49812]	Loss: 0.9180	LR: 0.020000
Training Epoch: 21 [37440/49812]	Loss: 0.9256	LR: 0.020000
Training Epoch: 21 [37504/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 21 [37568/49812]	Loss: 0.9410	LR: 0.020000
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Training Epoch: 21 [37824/49812]	Loss: 0.5071	LR: 0.020000
Training Epoch: 21 [37888/49812]	Loss: 0.8208	LR: 0.020000
Training Epoch: 21 [37952/49812]	Loss: 0.9855	LR: 0.020000
Training Epoch: 21 [38016/49812]	Loss: 0.8684	LR: 0.020000
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Training Epoch: 21 [38144/49812]	Loss: 0.8402	LR: 0.020000
Training Epoch: 21 [38208/49812]	Loss: 0.6616	LR: 0.020000
Training Epoch: 21 [38272/49812]	Loss: 0.9897	LR: 0.020000
Training Epoch: 21 [38336/49812]	Loss: 1.0113	LR: 0.020000
Training Epoch: 21 [38400/49812]	Loss: 0.6821	LR: 0.020000
Training Epoch: 21 [38464/49812]	Loss: 1.1128	LR: 0.020000
Training Epoch: 21 [38528/49812]	Loss: 0.8001	LR: 0.020000
Training Epoch: 21 [38592/49812]	Loss: 0.8362	LR: 0.020000
Training Epoch: 21 [38656/49812]	Loss: 1.1375	LR: 0.020000
Training Epoch: 21 [38720/49812]	Loss: 0.7658	LR: 0.020000
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Training Epoch: 21 [38976/49812]	Loss: 1.0232	LR: 0.020000
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Training Epoch: 21 [39104/49812]	Loss: 0.6840	LR: 0.020000
Training Epoch: 21 [39168/49812]	Loss: 0.8007	LR: 0.020000
Training Epoch: 21 [39232/49812]	Loss: 0.9072	LR: 0.020000
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Training Epoch: 21 [39424/49812]	Loss: 1.3080	LR: 0.020000
Training Epoch: 21 [39488/49812]	Loss: 0.7647	LR: 0.020000
Training Epoch: 21 [39552/49812]	Loss: 1.0084	LR: 0.020000
Training Epoch: 21 [39616/49812]	Loss: 1.3332	LR: 0.020000
Training Epoch: 21 [39680/49812]	Loss: 0.9638	LR: 0.020000
Training Epoch: 21 [39744/49812]	Loss: 0.7411	LR: 0.020000
Training Epoch: 21 [39808/49812]	Loss: 0.9032	LR: 0.020000
Training Epoch: 21 [39872/49812]	Loss: 0.6858	LR: 0.020000
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Training Epoch: 21 [40000/49812]	Loss: 0.8041	LR: 0.020000
Training Epoch: 21 [40064/49812]	Loss: 0.9374	LR: 0.020000
Training Epoch: 21 [40128/49812]	Loss: 0.7271	LR: 0.020000
Training Epoch: 21 [40192/49812]	Loss: 0.8854	LR: 0.020000
Training Epoch: 21 [40256/49812]	Loss: 1.0474	LR: 0.020000
Training Epoch: 21 [40320/49812]	Loss: 0.7477	LR: 0.020000
Training Epoch: 21 [40384/49812]	Loss: 0.9675	LR: 0.020000
Training Epoch: 21 [40448/49812]	Loss: 0.8356	LR: 0.020000
Training Epoch: 21 [40512/49812]	Loss: 0.8876	LR: 0.020000
Training Epoch: 21 [40576/49812]	Loss: 1.2457	LR: 0.020000
Training Epoch: 21 [40640/49812]	Loss: 0.6980	LR: 0.020000
Training Epoch: 21 [40704/49812]	Loss: 0.5375	LR: 0.020000
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Training Epoch: 21 [40832/49812]	Loss: 0.7769	LR: 0.020000
Training Epoch: 21 [40896/49812]	Loss: 0.7980	LR: 0.020000
Training Epoch: 21 [40960/49812]	Loss: 0.9315	LR: 0.020000
Training Epoch: 21 [41024/49812]	Loss: 0.9823	LR: 0.020000
Training Epoch: 21 [41088/49812]	Loss: 1.1511	LR: 0.020000
Training Epoch: 21 [41152/49812]	Loss: 1.1663	LR: 0.020000
Training Epoch: 21 [41216/49812]	Loss: 0.8010	LR: 0.020000
Training Epoch: 21 [41280/49812]	Loss: 0.8708	LR: 0.020000
Training Epoch: 21 [41344/49812]	Loss: 0.7940	LR: 0.020000
Training Epoch: 21 [41408/49812]	Loss: 0.8787	LR: 0.020000
Training Epoch: 21 [41472/49812]	Loss: 0.9025	LR: 0.020000
Training Epoch: 21 [41536/49812]	Loss: 0.8828	LR: 0.020000
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Training Epoch: 21 [41728/49812]	Loss: 0.8464	LR: 0.020000
Training Epoch: 21 [41792/49812]	Loss: 0.9681	LR: 0.020000
Training Epoch: 21 [41856/49812]	Loss: 1.2003	LR: 0.020000
Training Epoch: 21 [41920/49812]	Loss: 0.9167	LR: 0.020000
Training Epoch: 21 [41984/49812]	Loss: 0.7731	LR: 0.020000
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Training Epoch: 21 [42112/49812]	Loss: 0.7945	LR: 0.020000
Training Epoch: 21 [42176/49812]	Loss: 1.0523	LR: 0.020000
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Training Epoch: 21 [42432/49812]	Loss: 0.7400	LR: 0.020000
Training Epoch: 21 [42496/49812]	Loss: 1.0065	LR: 0.020000
Training Epoch: 21 [42560/49812]	Loss: 0.9387	LR: 0.020000
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Training Epoch: 21 [42688/49812]	Loss: 1.0964	LR: 0.020000
Training Epoch: 21 [42752/49812]	Loss: 0.6295	LR: 0.020000
Training Epoch: 21 [42816/49812]	Loss: 0.9351	LR: 0.020000
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Training Epoch: 21 [42944/49812]	Loss: 0.7986	LR: 0.020000
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Training Epoch: 21 [43072/49812]	Loss: 0.8909	LR: 0.020000
Training Epoch: 21 [43136/49812]	Loss: 0.6661	LR: 0.020000
Training Epoch: 21 [43200/49812]	Loss: 0.7595	LR: 0.020000
Training Epoch: 21 [43264/49812]	Loss: 0.7618	LR: 0.020000
Training Epoch: 21 [43328/49812]	Loss: 0.7635	LR: 0.020000
Training Epoch: 21 [43392/49812]	Loss: 0.9035	LR: 0.020000
Training Epoch: 21 [43456/49812]	Loss: 1.1094	LR: 0.020000
Training Epoch: 21 [43520/49812]	Loss: 0.7990	LR: 0.020000
Training Epoch: 21 [43584/49812]	Loss: 0.6518	LR: 0.020000
Training Epoch: 21 [43648/49812]	Loss: 0.8981	LR: 0.020000
Training Epoch: 21 [43712/49812]	Loss: 0.7684	LR: 0.020000
Training Epoch: 21 [43776/49812]	Loss: 0.4936	LR: 0.020000
Training Epoch: 21 [43840/49812]	Loss: 0.9194	LR: 0.020000
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Training Epoch: 21 [43968/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 21 [44032/49812]	Loss: 0.9069	LR: 0.020000
Training Epoch: 21 [44096/49812]	Loss: 0.8226	LR: 0.020000
Training Epoch: 21 [44160/49812]	Loss: 0.8293	LR: 0.020000
Training Epoch: 21 [44224/49812]	Loss: 0.9745	LR: 0.020000
Training Epoch: 21 [44288/49812]	Loss: 0.9151	LR: 0.020000
Training Epoch: 21 [44352/49812]	Loss: 0.6743	LR: 0.020000
Training Epoch: 21 [44416/49812]	Loss: 0.7497	LR: 0.020000
Training Epoch: 21 [44480/49812]	Loss: 0.8266	LR: 0.020000
Training Epoch: 21 [44544/49812]	Loss: 0.9103	LR: 0.020000
Training Epoch: 21 [44608/49812]	Loss: 0.6867	LR: 0.020000
Training Epoch: 21 [44672/49812]	Loss: 0.8618	LR: 0.020000
Training Epoch: 21 [44736/49812]	Loss: 0.8647	LR: 0.020000
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Training Epoch: 21 [44864/49812]	Loss: 0.8557	LR: 0.020000
Training Epoch: 21 [44928/49812]	Loss: 0.9735	LR: 0.020000
Training Epoch: 21 [44992/49812]	Loss: 0.7854	LR: 0.020000
Training Epoch: 21 [45056/49812]	Loss: 0.7722	LR: 0.020000
Training Epoch: 21 [45120/49812]	Loss: 0.9421	LR: 0.020000
Training Epoch: 21 [45184/49812]	Loss: 0.7615	LR: 0.020000
Training Epoch: 21 [45248/49812]	Loss: 0.7216	LR: 0.020000
Training Epoch: 21 [45312/49812]	Loss: 0.8997	LR: 0.020000
Training Epoch: 21 [45376/49812]	Loss: 0.9561	LR: 0.020000
Training Epoch: 21 [45440/49812]	Loss: 0.8089	LR: 0.020000
Training Epoch: 21 [45504/49812]	Loss: 0.9865	LR: 0.020000
Training Epoch: 21 [45568/49812]	Loss: 0.8084	LR: 0.020000
Training Epoch: 21 [45632/49812]	Loss: 0.6998	LR: 0.020000
Training Epoch: 21 [45696/49812]	Loss: 1.0163	LR: 0.020000
Training Epoch: 21 [45760/49812]	Loss: 0.9740	LR: 0.020000
Training Epoch: 21 [45824/49812]	Loss: 0.9437	LR: 0.020000
Training Epoch: 21 [45888/49812]	Loss: 0.9184	LR: 0.020000
Training Epoch: 21 [45952/49812]	Loss: 0.8590	LR: 0.020000
Training Epoch: 21 [46016/49812]	Loss: 0.9353	LR: 0.020000
Training Epoch: 21 [46080/49812]	Loss: 1.0597	LR: 0.020000
Training Epoch: 21 [46144/49812]	Loss: 0.8827	LR: 0.020000
Training Epoch: 21 [46208/49812]	Loss: 1.0116	LR: 0.020000
Training Epoch: 21 [46272/49812]	Loss: 0.7136	LR: 0.020000
Training Epoch: 21 [46336/49812]	Loss: 0.7728	LR: 0.020000
Training Epoch: 21 [46400/49812]	Loss: 0.6193	LR: 0.020000
Training Epoch: 21 [46464/49812]	Loss: 1.1358	LR: 0.020000
Training Epoch: 21 [46528/49812]	Loss: 1.2960	LR: 0.020000
Training Epoch: 21 [46592/49812]	Loss: 0.8393	LR: 0.020000
Training Epoch: 21 [46656/49812]	Loss: 0.8166	LR: 0.020000
Training Epoch: 21 [46720/49812]	Loss: 0.7505	LR: 0.020000
Training Epoch: 21 [46784/49812]	Loss: 1.0790	LR: 0.020000
Training Epoch: 21 [46848/49812]	Loss: 0.9240	LR: 0.020000
Training Epoch: 21 [46912/49812]	Loss: 0.8217	LR: 0.020000
Training Epoch: 21 [46976/49812]	Loss: 1.0120	LR: 0.020000
Training Epoch: 21 [47040/49812]	Loss: 1.0439	LR: 0.020000
Training Epoch: 21 [47104/49812]	Loss: 0.8755	LR: 0.020000
Training Epoch: 21 [47168/49812]	Loss: 1.0027	LR: 0.020000
Training Epoch: 21 [47232/49812]	Loss: 0.9123	LR: 0.020000
Training Epoch: 21 [47296/49812]	Loss: 0.7289	LR: 0.020000
Training Epoch: 21 [47360/49812]	Loss: 1.1241	LR: 0.020000
Training Epoch: 21 [47424/49812]	Loss: 0.8596	LR: 0.020000
Training Epoch: 21 [47488/49812]	Loss: 0.9866	LR: 0.020000
Training Epoch: 21 [47552/49812]	Loss: 0.7345	LR: 0.020000
Training Epoch: 21 [47616/49812]	Loss: 0.7901	LR: 0.020000
Training Epoch: 21 [47680/49812]	Loss: 1.0582	LR: 0.020000
Training Epoch: 21 [47744/49812]	Loss: 0.8183	LR: 0.020000
Training Epoch: 21 [47808/49812]	Loss: 0.8596	LR: 0.020000
Training Epoch: 21 [47872/49812]	Loss: 0.6889	LR: 0.020000
Training Epoch: 21 [47936/49812]	Loss: 1.0443	LR: 0.020000
Training Epoch: 21 [48000/49812]	Loss: 0.7238	LR: 0.020000
Training Epoch: 21 [48064/49812]	Loss: 0.8354	LR: 0.020000
Training Epoch: 21 [48128/49812]	Loss: 0.9297	LR: 0.020000
Training Epoch: 21 [48192/49812]	Loss: 0.7721	LR: 0.020000
Training Epoch: 21 [48256/49812]	Loss: 1.1039	LR: 0.020000
Training Epoch: 21 [48320/49812]	Loss: 0.6893	LR: 0.020000
Training Epoch: 21 [48384/49812]	Loss: 1.0939	LR: 0.020000
Training Epoch: 21 [48448/49812]	Loss: 0.7505	LR: 0.020000
Training Epoch: 21 [48512/49812]	Loss: 0.5985	LR: 0.020000
Training Epoch: 21 [48576/49812]	Loss: 0.8523	LR: 0.020000
Training Epoch: 21 [48640/49812]	Loss: 0.8962	LR: 0.020000
Training Epoch: 21 [48704/49812]	Loss: 0.9488	LR: 0.020000
Training Epoch: 21 [48768/49812]	Loss: 0.8870	LR: 0.020000
Training Epoch: 21 [48832/49812]	Loss: 0.7929	LR: 0.020000
Training Epoch: 21 [48896/49812]	Loss: 0.8132	LR: 0.020000
Training Epoch: 21 [48960/49812]	Loss: 1.0642	LR: 0.020000
Training Epoch: 21 [49024/49812]	Loss: 0.7701	LR: 0.020000
Training Epoch: 21 [49088/49812]	Loss: 0.8466	LR: 0.020000
Training Epoch: 21 [49152/49812]	Loss: 0.9377	LR: 0.020000
Training Epoch: 21 [49216/49812]	Loss: 0.6515	LR: 0.020000
Training Epoch: 21 [49280/49812]	Loss: 0.9319	LR: 0.020000
Training Epoch: 21 [49344/49812]	Loss: 1.0434	LR: 0.020000
Training Epoch: 21 [49408/49812]	Loss: 1.0528	LR: 0.020000
Training Epoch: 21 [49472/49812]	Loss: 1.0365	LR: 0.020000
Training Epoch: 21 [49536/49812]	Loss: 1.1340	LR: 0.020000
Training Epoch: 21 [49600/49812]	Loss: 0.9980	LR: 0.020000
Training Epoch: 21 [49664/49812]	Loss: 0.9520	LR: 0.020000
Training Epoch: 21 [49728/49812]	Loss: 1.0201	LR: 0.020000
Training Epoch: 21 [49792/49812]	Loss: 0.8103	LR: 0.020000
Training Epoch: 21 [49812/49812]	Loss: 0.7524	LR: 0.020000
Epoch 21 - Average Train Loss: 0.8543, Train Accuracy: 0.7249
Epoch 21 training time consumed: 261.44s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0162, Accuracy: 0.6907, Time consumed:17.33s
Training Epoch: 22 [64/49812]	Loss: 0.6041	LR: 0.020000
Training Epoch: 22 [128/49812]	Loss: 0.8835	LR: 0.020000
Training Epoch: 22 [192/49812]	Loss: 0.4602	LR: 0.020000
Training Epoch: 22 [256/49812]	Loss: 0.9014	LR: 0.020000
Training Epoch: 22 [320/49812]	Loss: 0.8758	LR: 0.020000
Training Epoch: 22 [384/49812]	Loss: 1.0736	LR: 0.020000
Training Epoch: 22 [448/49812]	Loss: 1.0214	LR: 0.020000
Training Epoch: 22 [512/49812]	Loss: 0.8974	LR: 0.020000
Training Epoch: 22 [576/49812]	Loss: 0.6139	LR: 0.020000
Training Epoch: 22 [640/49812]	Loss: 0.9723	LR: 0.020000
Training Epoch: 22 [704/49812]	Loss: 0.7038	LR: 0.020000
Training Epoch: 22 [768/49812]	Loss: 0.8730	LR: 0.020000
Training Epoch: 22 [832/49812]	Loss: 0.8913	LR: 0.020000
Training Epoch: 22 [896/49812]	Loss: 0.8189	LR: 0.020000
Training Epoch: 22 [960/49812]	Loss: 0.7208	LR: 0.020000
Training Epoch: 22 [1024/49812]	Loss: 0.8786	LR: 0.020000
Training Epoch: 22 [1088/49812]	Loss: 0.6914	LR: 0.020000
Training Epoch: 22 [1152/49812]	Loss: 1.0268	LR: 0.020000
Training Epoch: 22 [1216/49812]	Loss: 0.7556	LR: 0.020000
Training Epoch: 22 [1280/49812]	Loss: 0.7582	LR: 0.020000
Training Epoch: 22 [1344/49812]	Loss: 0.8927	LR: 0.020000
Training Epoch: 22 [1408/49812]	Loss: 0.9182	LR: 0.020000
Training Epoch: 22 [1472/49812]	Loss: 0.9032	LR: 0.020000
Training Epoch: 22 [1536/49812]	Loss: 0.9849	LR: 0.020000
Training Epoch: 22 [1600/49812]	Loss: 0.7005	LR: 0.020000
Training Epoch: 22 [1664/49812]	Loss: 0.9301	LR: 0.020000
Training Epoch: 22 [1728/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 22 [1792/49812]	Loss: 0.8745	LR: 0.020000
Training Epoch: 22 [1856/49812]	Loss: 1.0959	LR: 0.020000
Training Epoch: 22 [1920/49812]	Loss: 0.6698	LR: 0.020000
Training Epoch: 22 [1984/49812]	Loss: 0.7564	LR: 0.020000
Training Epoch: 22 [2048/49812]	Loss: 0.8967	LR: 0.020000
Training Epoch: 22 [2112/49812]	Loss: 0.6318	LR: 0.020000
Training Epoch: 22 [2176/49812]	Loss: 0.7542	LR: 0.020000
Training Epoch: 22 [2240/49812]	Loss: 0.7897	LR: 0.020000
Training Epoch: 22 [2304/49812]	Loss: 0.9803	LR: 0.020000
Training Epoch: 22 [2368/49812]	Loss: 0.8098	LR: 0.020000
Training Epoch: 22 [2432/49812]	Loss: 0.8196	LR: 0.020000
Training Epoch: 22 [2496/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 22 [2560/49812]	Loss: 0.6368	LR: 0.020000
Training Epoch: 22 [2624/49812]	Loss: 0.7197	LR: 0.020000
Training Epoch: 22 [2688/49812]	Loss: 0.7659	LR: 0.020000
Training Epoch: 22 [2752/49812]	Loss: 0.5485	LR: 0.020000
Training Epoch: 22 [2816/49812]	Loss: 0.9086	LR: 0.020000
Training Epoch: 22 [2880/49812]	Loss: 0.9216	LR: 0.020000
Training Epoch: 22 [2944/49812]	Loss: 1.1191	LR: 0.020000
Training Epoch: 22 [3008/49812]	Loss: 0.7100	LR: 0.020000
Training Epoch: 22 [3072/49812]	Loss: 0.5948	LR: 0.020000
Training Epoch: 22 [3136/49812]	Loss: 0.7662	LR: 0.020000
Training Epoch: 22 [3200/49812]	Loss: 0.9619	LR: 0.020000
Training Epoch: 22 [3264/49812]	Loss: 0.8638	LR: 0.020000
Training Epoch: 22 [3328/49812]	Loss: 0.7902	LR: 0.020000
Training Epoch: 22 [3392/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 22 [3456/49812]	Loss: 0.7511	LR: 0.020000
Training Epoch: 22 [3520/49812]	Loss: 0.8135	LR: 0.020000
Training Epoch: 22 [3584/49812]	Loss: 0.8397	LR: 0.020000
Training Epoch: 22 [3648/49812]	Loss: 1.1013	LR: 0.020000
Training Epoch: 22 [3712/49812]	Loss: 1.0398	LR: 0.020000
Training Epoch: 22 [3776/49812]	Loss: 0.7481	LR: 0.020000
Training Epoch: 22 [3840/49812]	Loss: 0.7752	LR: 0.020000
Training Epoch: 22 [3904/49812]	Loss: 0.8464	LR: 0.020000
Training Epoch: 22 [3968/49812]	Loss: 0.9141	LR: 0.020000
Training Epoch: 22 [4032/49812]	Loss: 0.8671	LR: 0.020000
Training Epoch: 22 [4096/49812]	Loss: 0.6727	LR: 0.020000
Training Epoch: 22 [4160/49812]	Loss: 0.7627	LR: 0.020000
Training Epoch: 22 [4224/49812]	Loss: 0.6508	LR: 0.020000
Training Epoch: 22 [4288/49812]	Loss: 0.8148	LR: 0.020000
Training Epoch: 22 [4352/49812]	Loss: 0.8528	LR: 0.020000
Training Epoch: 22 [4416/49812]	Loss: 0.8629	LR: 0.020000
Training Epoch: 22 [4480/49812]	Loss: 0.9704	LR: 0.020000
Training Epoch: 22 [4544/49812]	Loss: 0.6725	LR: 0.020000
Training Epoch: 22 [4608/49812]	Loss: 0.8532	LR: 0.020000
Training Epoch: 22 [4672/49812]	Loss: 0.7506	LR: 0.020000
Training Epoch: 22 [4736/49812]	Loss: 1.1082	LR: 0.020000
Training Epoch: 22 [4800/49812]	Loss: 0.9666	LR: 0.020000
Training Epoch: 22 [4864/49812]	Loss: 0.7036	LR: 0.020000
Training Epoch: 22 [4928/49812]	Loss: 0.6564	LR: 0.020000
Training Epoch: 22 [4992/49812]	Loss: 0.7125	LR: 0.020000
Training Epoch: 22 [5056/49812]	Loss: 0.7522	LR: 0.020000
Training Epoch: 22 [5120/49812]	Loss: 1.0174	LR: 0.020000
Training Epoch: 22 [5184/49812]	Loss: 1.0332	LR: 0.020000
Training Epoch: 22 [5248/49812]	Loss: 0.8870	LR: 0.020000
Training Epoch: 22 [5312/49812]	Loss: 0.9533	LR: 0.020000
Training Epoch: 22 [5376/49812]	Loss: 0.7837	LR: 0.020000
Training Epoch: 22 [5440/49812]	Loss: 0.6511	LR: 0.020000
Training Epoch: 22 [5504/49812]	Loss: 0.9655	LR: 0.020000
Training Epoch: 22 [5568/49812]	Loss: 0.6909	LR: 0.020000
Training Epoch: 22 [5632/49812]	Loss: 0.9179	LR: 0.020000
Training Epoch: 22 [5696/49812]	Loss: 0.8475	LR: 0.020000
Training Epoch: 22 [5760/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 22 [5824/49812]	Loss: 1.1389	LR: 0.020000
Training Epoch: 22 [5888/49812]	Loss: 0.9949	LR: 0.020000
Training Epoch: 22 [5952/49812]	Loss: 0.7985	LR: 0.020000
Training Epoch: 22 [6016/49812]	Loss: 0.8128	LR: 0.020000
Training Epoch: 22 [6080/49812]	Loss: 0.9084	LR: 0.020000
Training Epoch: 22 [6144/49812]	Loss: 0.7006	LR: 0.020000
Training Epoch: 22 [6208/49812]	Loss: 0.7151	LR: 0.020000
Training Epoch: 22 [6272/49812]	Loss: 0.7750	LR: 0.020000
Training Epoch: 22 [6336/49812]	Loss: 0.7584	LR: 0.020000
Training Epoch: 22 [6400/49812]	Loss: 0.8275	LR: 0.020000
Training Epoch: 22 [6464/49812]	Loss: 0.9055	LR: 0.020000
Training Epoch: 22 [6528/49812]	Loss: 0.7304	LR: 0.020000
Training Epoch: 22 [6592/49812]	Loss: 0.7956	LR: 0.020000
Training Epoch: 22 [6656/49812]	Loss: 1.0162	LR: 0.020000
Training Epoch: 22 [6720/49812]	Loss: 0.6748	LR: 0.020000
Training Epoch: 22 [6784/49812]	Loss: 0.5826	LR: 0.020000
Training Epoch: 22 [6848/49812]	Loss: 0.6859	LR: 0.020000
Training Epoch: 22 [6912/49812]	Loss: 0.7807	LR: 0.020000
Training Epoch: 22 [6976/49812]	Loss: 1.0299	LR: 0.020000
Training Epoch: 22 [7040/49812]	Loss: 0.7206	LR: 0.020000
Training Epoch: 22 [7104/49812]	Loss: 1.0987	LR: 0.020000
Training Epoch: 22 [7168/49812]	Loss: 0.6732	LR: 0.020000
Training Epoch: 22 [7232/49812]	Loss: 0.7866	LR: 0.020000
Training Epoch: 22 [7296/49812]	Loss: 0.9429	LR: 0.020000
Training Epoch: 22 [7360/49812]	Loss: 0.7936	LR: 0.020000
Training Epoch: 22 [7424/49812]	Loss: 0.9652	LR: 0.020000
Training Epoch: 22 [7488/49812]	Loss: 1.1508	LR: 0.020000
Training Epoch: 22 [7552/49812]	Loss: 0.8435	LR: 0.020000
Training Epoch: 22 [7616/49812]	Loss: 0.8684	LR: 0.020000
Training Epoch: 22 [7680/49812]	Loss: 0.9246	LR: 0.020000
Training Epoch: 22 [7744/49812]	Loss: 0.9514	LR: 0.020000
Training Epoch: 22 [7808/49812]	Loss: 0.8633	LR: 0.020000
Training Epoch: 22 [7872/49812]	Loss: 0.9357	LR: 0.020000
Training Epoch: 22 [7936/49812]	Loss: 0.7680	LR: 0.020000
Training Epoch: 22 [8000/49812]	Loss: 0.6777	LR: 0.020000
Training Epoch: 22 [8064/49812]	Loss: 0.6359	LR: 0.020000
Training Epoch: 22 [8128/49812]	Loss: 0.7917	LR: 0.020000
Training Epoch: 22 [8192/49812]	Loss: 0.6105	LR: 0.020000
Training Epoch: 22 [8256/49812]	Loss: 0.8144	LR: 0.020000
Training Epoch: 22 [8320/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 22 [8384/49812]	Loss: 1.2464	LR: 0.020000
Training Epoch: 22 [8448/49812]	Loss: 0.8377	LR: 0.020000
Training Epoch: 22 [8512/49812]	Loss: 0.7365	LR: 0.020000
Training Epoch: 22 [8576/49812]	Loss: 0.9360	LR: 0.020000
Training Epoch: 22 [8640/49812]	Loss: 0.9452	LR: 0.020000
Training Epoch: 22 [8704/49812]	Loss: 0.9438	LR: 0.020000
Training Epoch: 22 [8768/49812]	Loss: 0.6641	LR: 0.020000
Training Epoch: 22 [8832/49812]	Loss: 0.7003	LR: 0.020000
Training Epoch: 22 [8896/49812]	Loss: 0.6607	LR: 0.020000
Training Epoch: 22 [8960/49812]	Loss: 0.8324	LR: 0.020000
Training Epoch: 22 [9024/49812]	Loss: 1.0364	LR: 0.020000
Training Epoch: 22 [9088/49812]	Loss: 0.6078	LR: 0.020000
Training Epoch: 22 [9152/49812]	Loss: 0.9617	LR: 0.020000
Training Epoch: 22 [9216/49812]	Loss: 1.0733	LR: 0.020000
Training Epoch: 22 [9280/49812]	Loss: 0.7969	LR: 0.020000
Training Epoch: 22 [9344/49812]	Loss: 0.9136	LR: 0.020000
Training Epoch: 22 [9408/49812]	Loss: 0.9672	LR: 0.020000
Training Epoch: 22 [9472/49812]	Loss: 0.7218	LR: 0.020000
Training Epoch: 22 [9536/49812]	Loss: 0.8084	LR: 0.020000
Training Epoch: 22 [9600/49812]	Loss: 0.8294	LR: 0.020000
Training Epoch: 22 [9664/49812]	Loss: 0.7557	LR: 0.020000
Training Epoch: 22 [9728/49812]	Loss: 1.0217	LR: 0.020000
Training Epoch: 22 [9792/49812]	Loss: 0.7236	LR: 0.020000
Training Epoch: 22 [9856/49812]	Loss: 0.8418	LR: 0.020000
Training Epoch: 22 [9920/49812]	Loss: 0.7594	LR: 0.020000
Training Epoch: 22 [9984/49812]	Loss: 0.6331	LR: 0.020000
Training Epoch: 22 [10048/49812]	Loss: 1.0586	LR: 0.020000
Training Epoch: 22 [10112/49812]	Loss: 0.9737	LR: 0.020000
Training Epoch: 22 [10176/49812]	Loss: 0.9873	LR: 0.020000
Training Epoch: 22 [10240/49812]	Loss: 1.0615	LR: 0.020000
Training Epoch: 22 [10304/49812]	Loss: 0.9314	LR: 0.020000
Training Epoch: 22 [10368/49812]	Loss: 0.7851	LR: 0.020000
Training Epoch: 22 [10432/49812]	Loss: 0.8278	LR: 0.020000
Training Epoch: 22 [10496/49812]	Loss: 0.9076	LR: 0.020000
Training Epoch: 22 [10560/49812]	Loss: 0.7635	LR: 0.020000
Training Epoch: 22 [10624/49812]	Loss: 0.7440	LR: 0.020000
Training Epoch: 22 [10688/49812]	Loss: 0.6319	LR: 0.020000
Training Epoch: 22 [10752/49812]	Loss: 0.8304	LR: 0.020000
Training Epoch: 22 [10816/49812]	Loss: 0.8281	LR: 0.020000
Training Epoch: 22 [10880/49812]	Loss: 0.8521	LR: 0.020000
Training Epoch: 22 [10944/49812]	Loss: 0.8727	LR: 0.020000
Training Epoch: 22 [11008/49812]	Loss: 0.6674	LR: 0.020000
Training Epoch: 22 [11072/49812]	Loss: 1.0805	LR: 0.020000
Training Epoch: 22 [11136/49812]	Loss: 0.7662	LR: 0.020000
Training Epoch: 22 [11200/49812]	Loss: 0.7030	LR: 0.020000
Training Epoch: 22 [11264/49812]	Loss: 1.1569	LR: 0.020000
Training Epoch: 22 [11328/49812]	Loss: 0.9458	LR: 0.020000
Training Epoch: 22 [11392/49812]	Loss: 0.6588	LR: 0.020000
Training Epoch: 22 [11456/49812]	Loss: 0.6547	LR: 0.020000
Training Epoch: 22 [11520/49812]	Loss: 0.9743	LR: 0.020000
Training Epoch: 22 [11584/49812]	Loss: 0.8512	LR: 0.020000
Training Epoch: 22 [11648/49812]	Loss: 0.7371	LR: 0.020000
Training Epoch: 22 [11712/49812]	Loss: 0.9444	LR: 0.020000
Training Epoch: 22 [11776/49812]	Loss: 0.6519	LR: 0.020000
Training Epoch: 22 [11840/49812]	Loss: 0.7235	LR: 0.020000
Training Epoch: 22 [11904/49812]	Loss: 0.8885	LR: 0.020000
Training Epoch: 22 [11968/49812]	Loss: 0.9310	LR: 0.020000
Training Epoch: 22 [12032/49812]	Loss: 0.6471	LR: 0.020000
Training Epoch: 22 [12096/49812]	Loss: 0.5940	LR: 0.020000
Training Epoch: 22 [12160/49812]	Loss: 0.6720	LR: 0.020000
Training Epoch: 22 [12224/49812]	Loss: 0.7220	LR: 0.020000
Training Epoch: 22 [12288/49812]	Loss: 0.7441	LR: 0.020000
Training Epoch: 22 [12352/49812]	Loss: 0.8405	LR: 0.020000
Training Epoch: 22 [12416/49812]	Loss: 0.7855	LR: 0.020000
Training Epoch: 22 [12480/49812]	Loss: 1.0176	LR: 0.020000
Training Epoch: 22 [12544/49812]	Loss: 0.7771	LR: 0.020000
Training Epoch: 22 [12608/49812]	Loss: 1.1164	LR: 0.020000
Training Epoch: 22 [12672/49812]	Loss: 0.7016	LR: 0.020000
Training Epoch: 22 [12736/49812]	Loss: 0.7303	LR: 0.020000
Training Epoch: 22 [12800/49812]	Loss: 0.8914	LR: 0.020000
Training Epoch: 22 [12864/49812]	Loss: 0.7502	LR: 0.020000
Training Epoch: 22 [12928/49812]	Loss: 0.7332	LR: 0.020000
Training Epoch: 22 [12992/49812]	Loss: 0.9602	LR: 0.020000
Training Epoch: 22 [13056/49812]	Loss: 0.9127	LR: 0.020000
Training Epoch: 22 [13120/49812]	Loss: 0.6465	LR: 0.020000
Training Epoch: 22 [13184/49812]	Loss: 0.4941	LR: 0.020000
Training Epoch: 22 [13248/49812]	Loss: 0.8519	LR: 0.020000
Training Epoch: 22 [13312/49812]	Loss: 0.8100	LR: 0.020000
Training Epoch: 22 [13376/49812]	Loss: 0.5271	LR: 0.020000
Training Epoch: 22 [13440/49812]	Loss: 0.9221	LR: 0.020000
Training Epoch: 22 [13504/49812]	Loss: 0.8017	LR: 0.020000
Training Epoch: 22 [13568/49812]	Loss: 1.0080	LR: 0.020000
Training Epoch: 22 [13632/49812]	Loss: 0.7328	LR: 0.020000
Training Epoch: 22 [13696/49812]	Loss: 0.7443	LR: 0.020000
Training Epoch: 22 [13760/49812]	Loss: 0.7771	LR: 0.020000
Training Epoch: 22 [13824/49812]	Loss: 0.8466	LR: 0.020000
Training Epoch: 22 [13888/49812]	Loss: 0.6291	LR: 0.020000
Training Epoch: 22 [13952/49812]	Loss: 0.9367	LR: 0.020000
Training Epoch: 22 [14016/49812]	Loss: 1.0484	LR: 0.020000
Training Epoch: 22 [14080/49812]	Loss: 0.8257	LR: 0.020000
Training Epoch: 22 [14144/49812]	Loss: 0.8268	LR: 0.020000
Training Epoch: 22 [14208/49812]	Loss: 0.6392	LR: 0.020000
Training Epoch: 22 [14272/49812]	Loss: 0.6807	LR: 0.020000
Training Epoch: 22 [14336/49812]	Loss: 0.8644	LR: 0.020000
Training Epoch: 22 [14400/49812]	Loss: 1.0496	LR: 0.020000
Training Epoch: 22 [14464/49812]	Loss: 0.9443	LR: 0.020000
Training Epoch: 22 [14528/49812]	Loss: 0.9541	LR: 0.020000
Training Epoch: 22 [14592/49812]	Loss: 0.9667	LR: 0.020000
Training Epoch: 22 [14656/49812]	Loss: 0.6924	LR: 0.020000
Training Epoch: 22 [14720/49812]	Loss: 0.7095	LR: 0.020000
Training Epoch: 22 [14784/49812]	Loss: 0.9800	LR: 0.020000
Training Epoch: 22 [14848/49812]	Loss: 1.0857	LR: 0.020000
Training Epoch: 22 [14912/49812]	Loss: 0.8284	LR: 0.020000
Training Epoch: 22 [14976/49812]	Loss: 0.9297	LR: 0.020000
Training Epoch: 22 [15040/49812]	Loss: 0.6691	LR: 0.020000
Training Epoch: 22 [15104/49812]	Loss: 0.7564	LR: 0.020000
Training Epoch: 22 [15168/49812]	Loss: 0.7471	LR: 0.020000
Training Epoch: 22 [15232/49812]	Loss: 0.8558	LR: 0.020000
Training Epoch: 22 [15296/49812]	Loss: 0.7817	LR: 0.020000
Training Epoch: 22 [15360/49812]	Loss: 0.9255	LR: 0.020000
Training Epoch: 22 [15424/49812]	Loss: 0.9009	LR: 0.020000
Training Epoch: 22 [15488/49812]	Loss: 0.6059	LR: 0.020000
Training Epoch: 22 [15552/49812]	Loss: 0.7820	LR: 0.020000
Training Epoch: 22 [15616/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 22 [15680/49812]	Loss: 0.9282	LR: 0.020000
Training Epoch: 22 [15744/49812]	Loss: 0.6971	LR: 0.020000
Training Epoch: 22 [15808/49812]	Loss: 0.7377	LR: 0.020000
Training Epoch: 22 [15872/49812]	Loss: 0.7838	LR: 0.020000
Training Epoch: 22 [15936/49812]	Loss: 0.8221	LR: 0.020000
Training Epoch: 22 [16000/49812]	Loss: 0.6622	LR: 0.020000
Training Epoch: 22 [16064/49812]	Loss: 1.2045	LR: 0.020000
Training Epoch: 22 [16128/49812]	Loss: 1.0067	LR: 0.020000
Training Epoch: 22 [16192/49812]	Loss: 0.9097	LR: 0.020000
Training Epoch: 22 [16256/49812]	Loss: 0.8049	LR: 0.020000
Training Epoch: 22 [16320/49812]	Loss: 0.7252	LR: 0.020000
Training Epoch: 22 [16384/49812]	Loss: 1.0191	LR: 0.020000
Training Epoch: 22 [16448/49812]	Loss: 0.9431	LR: 0.020000
Training Epoch: 22 [16512/49812]	Loss: 0.9066	LR: 0.020000
Training Epoch: 22 [16576/49812]	Loss: 0.7248	LR: 0.020000
Training Epoch: 22 [16640/49812]	Loss: 0.7800	LR: 0.020000
Training Epoch: 22 [16704/49812]	Loss: 0.9194	LR: 0.020000
Training Epoch: 22 [16768/49812]	Loss: 0.7926	LR: 0.020000
Training Epoch: 22 [16832/49812]	Loss: 0.8746	LR: 0.020000
Training Epoch: 22 [16896/49812]	Loss: 0.9705	LR: 0.020000
Training Epoch: 22 [16960/49812]	Loss: 1.0088	LR: 0.020000
Training Epoch: 22 [17024/49812]	Loss: 0.8172	LR: 0.020000
Training Epoch: 22 [17088/49812]	Loss: 0.6823	LR: 0.020000
Training Epoch: 22 [17152/49812]	Loss: 0.8762	LR: 0.020000
Training Epoch: 22 [17216/49812]	Loss: 0.9675	LR: 0.020000
Training Epoch: 22 [17280/49812]	Loss: 0.7279	LR: 0.020000
Training Epoch: 22 [17344/49812]	Loss: 0.7497	LR: 0.020000
Training Epoch: 22 [17408/49812]	Loss: 0.8697	LR: 0.020000
Training Epoch: 22 [17472/49812]	Loss: 0.8953	LR: 0.020000
Training Epoch: 22 [17536/49812]	Loss: 0.7377	LR: 0.020000
Training Epoch: 22 [17600/49812]	Loss: 0.9470	LR: 0.020000
Training Epoch: 22 [17664/49812]	Loss: 0.6247	LR: 0.020000
Training Epoch: 22 [17728/49812]	Loss: 1.0077	LR: 0.020000
Training Epoch: 22 [17792/49812]	Loss: 0.7134	LR: 0.020000
Training Epoch: 22 [17856/49812]	Loss: 0.7125	LR: 0.020000
Training Epoch: 22 [17920/49812]	Loss: 0.7964	LR: 0.020000
Training Epoch: 22 [17984/49812]	Loss: 0.6404	LR: 0.020000
Training Epoch: 22 [18048/49812]	Loss: 0.7480	LR: 0.020000
Training Epoch: 22 [18112/49812]	Loss: 0.8190	LR: 0.020000
Training Epoch: 22 [18176/49812]	Loss: 0.8871	LR: 0.020000
Training Epoch: 22 [18240/49812]	Loss: 1.1105	LR: 0.020000
Training Epoch: 22 [18304/49812]	Loss: 0.7212	LR: 0.020000
Training Epoch: 22 [18368/49812]	Loss: 1.0890	LR: 0.020000
Training Epoch: 22 [18432/49812]	Loss: 0.6214	LR: 0.020000
Training Epoch: 22 [18496/49812]	Loss: 0.7392	LR: 0.020000
Training Epoch: 22 [18560/49812]	Loss: 0.6789	LR: 0.020000
Training Epoch: 22 [18624/49812]	Loss: 0.7447	LR: 0.020000
Training Epoch: 22 [18688/49812]	Loss: 0.6973	LR: 0.020000
Training Epoch: 22 [18752/49812]	Loss: 0.7234	LR: 0.020000
Training Epoch: 22 [18816/49812]	Loss: 0.9204	LR: 0.020000
Training Epoch: 22 [18880/49812]	Loss: 0.6728	LR: 0.020000
Training Epoch: 22 [18944/49812]	Loss: 0.9309	LR: 0.020000
Training Epoch: 22 [19008/49812]	Loss: 0.9044	LR: 0.020000
Training Epoch: 22 [19072/49812]	Loss: 0.7777	LR: 0.020000
Training Epoch: 22 [19136/49812]	Loss: 0.7196	LR: 0.020000
Training Epoch: 22 [19200/49812]	Loss: 0.9495	LR: 0.020000
Training Epoch: 22 [19264/49812]	Loss: 0.8626	LR: 0.020000
Training Epoch: 22 [19328/49812]	Loss: 0.8263	LR: 0.020000
Training Epoch: 22 [19392/49812]	Loss: 0.9226	LR: 0.020000
Training Epoch: 22 [19456/49812]	Loss: 0.9042	LR: 0.020000
Training Epoch: 22 [19520/49812]	Loss: 0.8785	LR: 0.020000
Training Epoch: 22 [19584/49812]	Loss: 0.8782	LR: 0.020000
Training Epoch: 22 [19648/49812]	Loss: 0.8239	LR: 0.020000
Training Epoch: 22 [19712/49812]	Loss: 0.8918	LR: 0.020000
Training Epoch: 22 [19776/49812]	Loss: 0.8937	LR: 0.020000
Training Epoch: 22 [19840/49812]	Loss: 0.6985	LR: 0.020000
Training Epoch: 22 [19904/49812]	Loss: 0.9615	LR: 0.020000
Training Epoch: 22 [19968/49812]	Loss: 1.0087	LR: 0.020000
Training Epoch: 22 [20032/49812]	Loss: 1.0306	LR: 0.020000
Training Epoch: 22 [20096/49812]	Loss: 0.7188	LR: 0.020000
Training Epoch: 22 [20160/49812]	Loss: 0.8401	LR: 0.020000
Training Epoch: 22 [20224/49812]	Loss: 0.8440	LR: 0.020000
Training Epoch: 22 [20288/49812]	Loss: 0.6936	LR: 0.020000
Training Epoch: 22 [20352/49812]	Loss: 0.8421	LR: 0.020000
Training Epoch: 22 [20416/49812]	Loss: 0.7246	LR: 0.020000
Training Epoch: 22 [20480/49812]	Loss: 0.6097	LR: 0.020000
Training Epoch: 22 [20544/49812]	Loss: 0.7654	LR: 0.020000
Training Epoch: 22 [20608/49812]	Loss: 1.0664	LR: 0.020000
Training Epoch: 22 [20672/49812]	Loss: 0.8036	LR: 0.020000
Training Epoch: 22 [20736/49812]	Loss: 1.0054	LR: 0.020000
Training Epoch: 22 [20800/49812]	Loss: 0.6922	LR: 0.020000
Training Epoch: 22 [20864/49812]	Loss: 0.9961	LR: 0.020000
Training Epoch: 22 [20928/49812]	Loss: 0.6034	LR: 0.020000
Training Epoch: 22 [20992/49812]	Loss: 0.8879	LR: 0.020000
Training Epoch: 22 [21056/49812]	Loss: 0.7377	LR: 0.020000
Training Epoch: 22 [21120/49812]	Loss: 0.9498	LR: 0.020000
Training Epoch: 22 [21184/49812]	Loss: 0.6356	LR: 0.020000
Training Epoch: 22 [21248/49812]	Loss: 0.6475	LR: 0.020000
Training Epoch: 22 [21312/49812]	Loss: 1.1790	LR: 0.020000
Training Epoch: 22 [21376/49812]	Loss: 0.7110	LR: 0.020000
Training Epoch: 22 [21440/49812]	Loss: 1.0779	LR: 0.020000
Training Epoch: 22 [21504/49812]	Loss: 0.7197	LR: 0.020000
Training Epoch: 22 [21568/49812]	Loss: 0.9214	LR: 0.020000
Training Epoch: 22 [21632/49812]	Loss: 1.0428	LR: 0.020000
Training Epoch: 22 [21696/49812]	Loss: 0.6263	LR: 0.020000
Training Epoch: 22 [21760/49812]	Loss: 0.8694	LR: 0.020000
Training Epoch: 22 [21824/49812]	Loss: 0.9526	LR: 0.020000
Training Epoch: 22 [21888/49812]	Loss: 0.9405	LR: 0.020000
Training Epoch: 22 [21952/49812]	Loss: 0.7902	LR: 0.020000
Training Epoch: 22 [22016/49812]	Loss: 0.8691	LR: 0.020000
Training Epoch: 22 [22080/49812]	Loss: 0.9807	LR: 0.020000
Training Epoch: 22 [22144/49812]	Loss: 0.8003	LR: 0.020000
Training Epoch: 22 [22208/49812]	Loss: 0.9719	LR: 0.020000
Training Epoch: 22 [22272/49812]	Loss: 0.7491	LR: 0.020000
Training Epoch: 22 [22336/49812]	Loss: 1.3087	LR: 0.020000
Training Epoch: 22 [22400/49812]	Loss: 1.0544	LR: 0.020000
Training Epoch: 22 [22464/49812]	Loss: 0.8460	LR: 0.020000
Training Epoch: 22 [22528/49812]	Loss: 0.6933	LR: 0.020000
Training Epoch: 22 [22592/49812]	Loss: 0.7291	LR: 0.020000
Training Epoch: 22 [22656/49812]	Loss: 0.7292	LR: 0.020000
Training Epoch: 22 [22720/49812]	Loss: 0.7890	LR: 0.020000
Training Epoch: 22 [22784/49812]	Loss: 0.7004	LR: 0.020000
Training Epoch: 22 [22848/49812]	Loss: 0.6293	LR: 0.020000
Training Epoch: 22 [22912/49812]	Loss: 0.9333	LR: 0.020000
Training Epoch: 22 [22976/49812]	Loss: 0.6410	LR: 0.020000
Training Epoch: 22 [23040/49812]	Loss: 0.8463	LR: 0.020000
Training Epoch: 22 [23104/49812]	Loss: 0.6183	LR: 0.020000
Training Epoch: 22 [23168/49812]	Loss: 0.7493	LR: 0.020000
Training Epoch: 22 [23232/49812]	Loss: 0.9287	LR: 0.020000
Training Epoch: 22 [23296/49812]	Loss: 1.0313	LR: 0.020000
Training Epoch: 22 [23360/49812]	Loss: 0.6588	LR: 0.020000
Training Epoch: 22 [23424/49812]	Loss: 0.7823	LR: 0.020000
Training Epoch: 22 [23488/49812]	Loss: 0.7108	LR: 0.020000
Training Epoch: 22 [23552/49812]	Loss: 0.7543	LR: 0.020000
Training Epoch: 22 [23616/49812]	Loss: 1.0723	LR: 0.020000
Training Epoch: 22 [23680/49812]	Loss: 0.8832	LR: 0.020000
Training Epoch: 22 [23744/49812]	Loss: 0.7178	LR: 0.020000
Training Epoch: 22 [23808/49812]	Loss: 1.0648	LR: 0.020000
Training Epoch: 22 [23872/49812]	Loss: 1.1215	LR: 0.020000
Training Epoch: 22 [23936/49812]	Loss: 0.8692	LR: 0.020000
Training Epoch: 22 [24000/49812]	Loss: 0.9486	LR: 0.020000
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Training Epoch: 22 [24128/49812]	Loss: 0.9742	LR: 0.020000
Training Epoch: 22 [24192/49812]	Loss: 0.9776	LR: 0.020000
Training Epoch: 22 [24256/49812]	Loss: 0.9135	LR: 0.020000
Training Epoch: 22 [24320/49812]	Loss: 0.6205	LR: 0.020000
Training Epoch: 22 [24384/49812]	Loss: 0.7690	LR: 0.020000
Training Epoch: 22 [24448/49812]	Loss: 0.9092	LR: 0.020000
Training Epoch: 22 [24512/49812]	Loss: 1.0041	LR: 0.020000
Training Epoch: 22 [24576/49812]	Loss: 0.8534	LR: 0.020000
Training Epoch: 22 [24640/49812]	Loss: 0.5776	LR: 0.020000
Training Epoch: 22 [24704/49812]	Loss: 0.9419	LR: 0.020000
Training Epoch: 22 [24768/49812]	Loss: 0.8982	LR: 0.020000
Training Epoch: 22 [24832/49812]	Loss: 0.7971	LR: 0.020000
Training Epoch: 22 [24896/49812]	Loss: 1.1861	LR: 0.020000
Training Epoch: 22 [24960/49812]	Loss: 0.6656	LR: 0.020000
Training Epoch: 22 [25024/49812]	Loss: 0.9999	LR: 0.020000
Training Epoch: 22 [25088/49812]	Loss: 0.8514	LR: 0.020000
Training Epoch: 22 [25152/49812]	Loss: 0.9619	LR: 0.020000
Training Epoch: 22 [25216/49812]	Loss: 1.1006	LR: 0.020000
Training Epoch: 22 [25280/49812]	Loss: 1.1096	LR: 0.020000
Training Epoch: 22 [25344/49812]	Loss: 0.8303	LR: 0.020000
Training Epoch: 22 [25408/49812]	Loss: 0.5684	LR: 0.020000
Training Epoch: 22 [25472/49812]	Loss: 0.7131	LR: 0.020000
Training Epoch: 22 [25536/49812]	Loss: 0.9522	LR: 0.020000
Training Epoch: 22 [25600/49812]	Loss: 0.6705	LR: 0.020000
Training Epoch: 22 [25664/49812]	Loss: 0.7272	LR: 0.020000
Training Epoch: 22 [25728/49812]	Loss: 0.9222	LR: 0.020000
Training Epoch: 22 [25792/49812]	Loss: 0.8049	LR: 0.020000
Training Epoch: 22 [25856/49812]	Loss: 0.8756	LR: 0.020000
Training Epoch: 22 [25920/49812]	Loss: 0.6995	LR: 0.020000
Training Epoch: 22 [25984/49812]	Loss: 0.7794	LR: 0.020000
Training Epoch: 22 [26048/49812]	Loss: 0.9640	LR: 0.020000
Training Epoch: 22 [26112/49812]	Loss: 0.8743	LR: 0.020000
Training Epoch: 22 [26176/49812]	Loss: 0.8660	LR: 0.020000
Training Epoch: 22 [26240/49812]	Loss: 0.8894	LR: 0.020000
Training Epoch: 22 [26304/49812]	Loss: 0.8453	LR: 0.020000
Training Epoch: 22 [26368/49812]	Loss: 1.0091	LR: 0.020000
Training Epoch: 22 [26432/49812]	Loss: 0.8236	LR: 0.020000
Training Epoch: 22 [26496/49812]	Loss: 0.9678	LR: 0.020000
Training Epoch: 22 [26560/49812]	Loss: 0.7488	LR: 0.020000
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Training Epoch: 22 [26688/49812]	Loss: 0.9676	LR: 0.020000
Training Epoch: 22 [26752/49812]	Loss: 0.9223	LR: 0.020000
Training Epoch: 22 [26816/49812]	Loss: 0.8062	LR: 0.020000
Training Epoch: 22 [26880/49812]	Loss: 0.7756	LR: 0.020000
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Training Epoch: 22 [27008/49812]	Loss: 0.9156	LR: 0.020000
Training Epoch: 22 [27072/49812]	Loss: 0.7447	LR: 0.020000
Training Epoch: 22 [27136/49812]	Loss: 0.7196	LR: 0.020000
Training Epoch: 22 [27200/49812]	Loss: 0.9701	LR: 0.020000
Training Epoch: 22 [27264/49812]	Loss: 0.8130	LR: 0.020000
Training Epoch: 22 [27328/49812]	Loss: 1.0746	LR: 0.020000
Training Epoch: 22 [27392/49812]	Loss: 0.5355	LR: 0.020000
Training Epoch: 22 [27456/49812]	Loss: 0.7419	LR: 0.020000
Training Epoch: 22 [27520/49812]	Loss: 0.7695	LR: 0.020000
Training Epoch: 22 [27584/49812]	Loss: 0.8758	LR: 0.020000
Training Epoch: 22 [27648/49812]	Loss: 1.0389	LR: 0.020000
Training Epoch: 22 [27712/49812]	Loss: 1.1696	LR: 0.020000
Training Epoch: 22 [27776/49812]	Loss: 0.9833	LR: 0.020000
Training Epoch: 22 [27840/49812]	Loss: 0.8743	LR: 0.020000
Training Epoch: 22 [27904/49812]	Loss: 0.8902	LR: 0.020000
Training Epoch: 22 [27968/49812]	Loss: 0.7889	LR: 0.020000
Training Epoch: 22 [28032/49812]	Loss: 0.7448	LR: 0.020000
Training Epoch: 22 [28096/49812]	Loss: 0.7813	LR: 0.020000
Training Epoch: 22 [28160/49812]	Loss: 0.8532	LR: 0.020000
Training Epoch: 22 [28224/49812]	Loss: 0.7370	LR: 0.020000
Training Epoch: 22 [28288/49812]	Loss: 1.0792	LR: 0.020000
Training Epoch: 22 [28352/49812]	Loss: 0.8563	LR: 0.020000
Training Epoch: 22 [28416/49812]	Loss: 0.8392	LR: 0.020000
Training Epoch: 22 [28480/49812]	Loss: 0.9870	LR: 0.020000
Training Epoch: 22 [28544/49812]	Loss: 0.8664	LR: 0.020000
Training Epoch: 22 [28608/49812]	Loss: 0.6958	LR: 0.020000
Training Epoch: 22 [28672/49812]	Loss: 0.6804	LR: 0.020000
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Training Epoch: 22 [28928/49812]	Loss: 1.0780	LR: 0.020000
Training Epoch: 22 [28992/49812]	Loss: 0.8921	LR: 0.020000
Training Epoch: 22 [29056/49812]	Loss: 0.7516	LR: 0.020000
Training Epoch: 22 [29120/49812]	Loss: 0.7256	LR: 0.020000
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Training Epoch: 22 [29824/49812]	Loss: 0.9355	LR: 0.020000
Training Epoch: 22 [29888/49812]	Loss: 1.1425	LR: 0.020000
Training Epoch: 22 [29952/49812]	Loss: 0.7278	LR: 0.020000
Training Epoch: 22 [30016/49812]	Loss: 0.6715	LR: 0.020000
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Training Epoch: 22 [30144/49812]	Loss: 0.7158	LR: 0.020000
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Training Epoch: 22 [30272/49812]	Loss: 0.7321	LR: 0.020000
Training Epoch: 22 [30336/49812]	Loss: 1.0169	LR: 0.020000
Training Epoch: 22 [30400/49812]	Loss: 0.6179	LR: 0.020000
Training Epoch: 22 [30464/49812]	Loss: 0.9148	LR: 0.020000
Training Epoch: 22 [30528/49812]	Loss: 0.8673	LR: 0.020000
Training Epoch: 22 [30592/49812]	Loss: 0.8686	LR: 0.020000
Training Epoch: 22 [30656/49812]	Loss: 0.7927	LR: 0.020000
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Training Epoch: 22 [30848/49812]	Loss: 0.7946	LR: 0.020000
Training Epoch: 22 [30912/49812]	Loss: 1.2275	LR: 0.020000
Training Epoch: 22 [30976/49812]	Loss: 0.8310	LR: 0.020000
Training Epoch: 22 [31040/49812]	Loss: 0.6881	LR: 0.020000
Training Epoch: 22 [31104/49812]	Loss: 0.8394	LR: 0.020000
Training Epoch: 22 [31168/49812]	Loss: 1.0964	LR: 0.020000
Training Epoch: 22 [31232/49812]	Loss: 0.7456	LR: 0.020000
Training Epoch: 22 [31296/49812]	Loss: 1.0624	LR: 0.020000
Training Epoch: 22 [31360/49812]	Loss: 1.1972	LR: 0.020000
Training Epoch: 22 [31424/49812]	Loss: 1.1419	LR: 0.020000
Training Epoch: 22 [31488/49812]	Loss: 0.7230	LR: 0.020000
Training Epoch: 22 [31552/49812]	Loss: 1.0153	LR: 0.020000
Training Epoch: 22 [31616/49812]	Loss: 0.8411	LR: 0.020000
Training Epoch: 22 [31680/49812]	Loss: 0.7553	LR: 0.020000
Training Epoch: 22 [31744/49812]	Loss: 0.8338	LR: 0.020000
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Training Epoch: 22 [31936/49812]	Loss: 1.0374	LR: 0.020000
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Training Epoch: 22 [32064/49812]	Loss: 1.0976	LR: 0.020000
Training Epoch: 22 [32128/49812]	Loss: 0.7570	LR: 0.020000
Training Epoch: 22 [32192/49812]	Loss: 0.7894	LR: 0.020000
Training Epoch: 22 [32256/49812]	Loss: 0.7076	LR: 0.020000
Training Epoch: 22 [32320/49812]	Loss: 0.8718	LR: 0.020000
Training Epoch: 22 [32384/49812]	Loss: 0.8776	LR: 0.020000
Training Epoch: 22 [32448/49812]	Loss: 0.6863	LR: 0.020000
Training Epoch: 22 [32512/49812]	Loss: 0.7750	LR: 0.020000
Training Epoch: 22 [32576/49812]	Loss: 0.7360	LR: 0.020000
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Training Epoch: 22 [32704/49812]	Loss: 0.8289	LR: 0.020000
Training Epoch: 22 [32768/49812]	Loss: 0.6583	LR: 0.020000
Training Epoch: 22 [32832/49812]	Loss: 0.7855	LR: 0.020000
Training Epoch: 22 [32896/49812]	Loss: 0.9150	LR: 0.020000
Training Epoch: 22 [32960/49812]	Loss: 0.9465	LR: 0.020000
Training Epoch: 22 [33024/49812]	Loss: 0.6614	LR: 0.020000
Training Epoch: 22 [33088/49812]	Loss: 0.9718	LR: 0.020000
Training Epoch: 22 [33152/49812]	Loss: 1.0696	LR: 0.020000
Training Epoch: 22 [33216/49812]	Loss: 0.8710	LR: 0.020000
Training Epoch: 22 [33280/49812]	Loss: 1.0408	LR: 0.020000
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Training Epoch: 22 [33408/49812]	Loss: 0.5586	LR: 0.020000
Training Epoch: 22 [33472/49812]	Loss: 0.6272	LR: 0.020000
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Training Epoch: 22 [33664/49812]	Loss: 0.7896	LR: 0.020000
Training Epoch: 22 [33728/49812]	Loss: 0.6665	LR: 0.020000
Training Epoch: 22 [33792/49812]	Loss: 1.0428	LR: 0.020000
Training Epoch: 22 [33856/49812]	Loss: 0.8036	LR: 0.020000
Training Epoch: 22 [33920/49812]	Loss: 0.7171	LR: 0.020000
Training Epoch: 22 [33984/49812]	Loss: 0.8680	LR: 0.020000
Training Epoch: 22 [34048/49812]	Loss: 0.6708	LR: 0.020000
Training Epoch: 22 [34112/49812]	Loss: 0.8856	LR: 0.020000
Training Epoch: 22 [34176/49812]	Loss: 0.7030	LR: 0.020000
Training Epoch: 22 [34240/49812]	Loss: 0.8832	LR: 0.020000
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Training Epoch: 22 [34368/49812]	Loss: 0.7538	LR: 0.020000
Training Epoch: 22 [34432/49812]	Loss: 0.7357	LR: 0.020000
Training Epoch: 22 [34496/49812]	Loss: 0.6986	LR: 0.020000
Training Epoch: 22 [34560/49812]	Loss: 0.7304	LR: 0.020000
Training Epoch: 22 [34624/49812]	Loss: 0.9484	LR: 0.020000
Training Epoch: 22 [34688/49812]	Loss: 0.6779	LR: 0.020000
Training Epoch: 22 [34752/49812]	Loss: 0.8115	LR: 0.020000
Training Epoch: 22 [34816/49812]	Loss: 0.7199	LR: 0.020000
Training Epoch: 22 [34880/49812]	Loss: 0.7238	LR: 0.020000
Training Epoch: 22 [34944/49812]	Loss: 0.8508	LR: 0.020000
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Training Epoch: 22 [35136/49812]	Loss: 1.2263	LR: 0.020000
Training Epoch: 22 [35200/49812]	Loss: 0.7794	LR: 0.020000
Training Epoch: 22 [35264/49812]	Loss: 1.1638	LR: 0.020000
Training Epoch: 22 [35328/49812]	Loss: 0.9636	LR: 0.020000
Training Epoch: 22 [35392/49812]	Loss: 0.8224	LR: 0.020000
Training Epoch: 22 [35456/49812]	Loss: 0.8147	LR: 0.020000
Training Epoch: 22 [35520/49812]	Loss: 0.7977	LR: 0.020000
Training Epoch: 22 [35584/49812]	Loss: 0.5722	LR: 0.020000
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Training Epoch: 22 [35712/49812]	Loss: 1.0345	LR: 0.020000
Training Epoch: 22 [35776/49812]	Loss: 1.0861	LR: 0.020000
Training Epoch: 22 [35840/49812]	Loss: 0.7489	LR: 0.020000
Training Epoch: 22 [35904/49812]	Loss: 0.9060	LR: 0.020000
Training Epoch: 22 [35968/49812]	Loss: 0.6297	LR: 0.020000
Training Epoch: 22 [36032/49812]	Loss: 0.6049	LR: 0.020000
Training Epoch: 22 [36096/49812]	Loss: 0.5991	LR: 0.020000
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Training Epoch: 22 [36224/49812]	Loss: 0.6828	LR: 0.020000
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Training Epoch: 22 [36544/49812]	Loss: 0.8147	LR: 0.020000
Training Epoch: 22 [36608/49812]	Loss: 1.0117	LR: 0.020000
Training Epoch: 22 [36672/49812]	Loss: 0.7673	LR: 0.020000
Training Epoch: 22 [36736/49812]	Loss: 0.8931	LR: 0.020000
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Training Epoch: 22 [36864/49812]	Loss: 1.2680	LR: 0.020000
Training Epoch: 22 [36928/49812]	Loss: 0.6324	LR: 0.020000
Training Epoch: 22 [36992/49812]	Loss: 1.0027	LR: 0.020000
Training Epoch: 22 [37056/49812]	Loss: 0.8433	LR: 0.020000
Training Epoch: 22 [37120/49812]	Loss: 0.9031	LR: 0.020000
Training Epoch: 22 [37184/49812]	Loss: 0.6964	LR: 0.020000
Training Epoch: 22 [37248/49812]	Loss: 0.7800	LR: 0.020000
Training Epoch: 22 [37312/49812]	Loss: 1.0685	LR: 0.020000
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Training Epoch: 22 [37440/49812]	Loss: 0.9284	LR: 0.020000
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Training Epoch: 22 [37632/49812]	Loss: 0.7770	LR: 0.020000
Training Epoch: 22 [37696/49812]	Loss: 0.6696	LR: 0.020000
Training Epoch: 22 [37760/49812]	Loss: 0.7221	LR: 0.020000
Training Epoch: 22 [37824/49812]	Loss: 0.9025	LR: 0.020000
Training Epoch: 22 [37888/49812]	Loss: 0.8619	LR: 0.020000
Training Epoch: 22 [37952/49812]	Loss: 0.9080	LR: 0.020000
Training Epoch: 22 [38016/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 22 [38080/49812]	Loss: 0.7193	LR: 0.020000
Training Epoch: 22 [38144/49812]	Loss: 0.6496	LR: 0.020000
Training Epoch: 22 [38208/49812]	Loss: 0.6554	LR: 0.020000
Training Epoch: 22 [38272/49812]	Loss: 0.9892	LR: 0.020000
Training Epoch: 22 [38336/49812]	Loss: 0.9546	LR: 0.020000
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Training Epoch: 22 [38464/49812]	Loss: 0.7820	LR: 0.020000
Training Epoch: 22 [38528/49812]	Loss: 0.6775	LR: 0.020000
Training Epoch: 22 [38592/49812]	Loss: 1.0671	LR: 0.020000
Training Epoch: 22 [38656/49812]	Loss: 0.9040	LR: 0.020000
Training Epoch: 22 [38720/49812]	Loss: 0.9361	LR: 0.020000
Training Epoch: 22 [38784/49812]	Loss: 0.5251	LR: 0.020000
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Training Epoch: 22 [38912/49812]	Loss: 0.9171	LR: 0.020000
Training Epoch: 22 [38976/49812]	Loss: 0.7051	LR: 0.020000
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Training Epoch: 22 [39424/49812]	Loss: 0.7961	LR: 0.020000
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Training Epoch: 22 [39744/49812]	Loss: 1.0226	LR: 0.020000
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Training Epoch: 22 [39936/49812]	Loss: 0.8568	LR: 0.020000
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Training Epoch: 22 [40128/49812]	Loss: 0.7134	LR: 0.020000
Training Epoch: 22 [40192/49812]	Loss: 0.9714	LR: 0.020000
Training Epoch: 22 [40256/49812]	Loss: 0.7968	LR: 0.020000
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Training Epoch: 22 [40384/49812]	Loss: 1.1880	LR: 0.020000
Training Epoch: 22 [40448/49812]	Loss: 0.9027	LR: 0.020000
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Training Epoch: 22 [40640/49812]	Loss: 1.1790	LR: 0.020000
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Training Epoch: 22 [40768/49812]	Loss: 1.2768	LR: 0.020000
Training Epoch: 22 [40832/49812]	Loss: 0.7366	LR: 0.020000
Training Epoch: 22 [40896/49812]	Loss: 0.9096	LR: 0.020000
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Training Epoch: 22 [41024/49812]	Loss: 1.0652	LR: 0.020000
Training Epoch: 22 [41088/49812]	Loss: 0.7975	LR: 0.020000
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Training Epoch: 22 [41472/49812]	Loss: 0.6276	LR: 0.020000
Training Epoch: 22 [41536/49812]	Loss: 0.8176	LR: 0.020000
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Training Epoch: 22 [41792/49812]	Loss: 1.0044	LR: 0.020000
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Training Epoch: 22 [41920/49812]	Loss: 0.8118	LR: 0.020000
Training Epoch: 22 [41984/49812]	Loss: 0.9043	LR: 0.020000
Training Epoch: 22 [42048/49812]	Loss: 1.0348	LR: 0.020000
Training Epoch: 22 [42112/49812]	Loss: 0.6254	LR: 0.020000
Training Epoch: 22 [42176/49812]	Loss: 0.7345	LR: 0.020000
Training Epoch: 22 [42240/49812]	Loss: 0.8485	LR: 0.020000
Training Epoch: 22 [42304/49812]	Loss: 0.9285	LR: 0.020000
Training Epoch: 22 [42368/49812]	Loss: 0.7111	LR: 0.020000
Training Epoch: 22 [42432/49812]	Loss: 0.8393	LR: 0.020000
Training Epoch: 22 [42496/49812]	Loss: 1.0209	LR: 0.020000
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Training Epoch: 22 [42944/49812]	Loss: 1.1210	LR: 0.020000
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Training Epoch: 22 [43584/49812]	Loss: 0.9677	LR: 0.020000
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Training Epoch: 22 [44096/49812]	Loss: 0.7968	LR: 0.020000
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Training Epoch: 22 [44992/49812]	Loss: 0.8121	LR: 0.020000
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Training Epoch: 22 [45120/49812]	Loss: 0.7584	LR: 0.020000
Training Epoch: 22 [45184/49812]	Loss: 1.3111	LR: 0.020000
Training Epoch: 22 [45248/49812]	Loss: 0.8544	LR: 0.020000
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Training Epoch: 22 [45696/49812]	Loss: 0.9689	LR: 0.020000
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Training Epoch: 22 [45888/49812]	Loss: 1.0743	LR: 0.020000
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Training Epoch: 22 [46016/49812]	Loss: 0.9058	LR: 0.020000
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Training Epoch: 22 [46464/49812]	Loss: 0.8719	LR: 0.020000
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Training Epoch: 22 [46720/49812]	Loss: 1.0104	LR: 0.020000
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Training Epoch: 22 [46976/49812]	Loss: 0.9895	LR: 0.020000
Training Epoch: 22 [47040/49812]	Loss: 0.8128	LR: 0.020000
Training Epoch: 22 [47104/49812]	Loss: 0.7387	LR: 0.020000
Training Epoch: 22 [47168/49812]	Loss: 1.0271	LR: 0.020000
Training Epoch: 22 [47232/49812]	Loss: 0.7068	LR: 0.020000
Training Epoch: 22 [47296/49812]	Loss: 0.8344	LR: 0.020000
Training Epoch: 22 [47360/49812]	Loss: 0.7539	LR: 0.020000
Training Epoch: 22 [47424/49812]	Loss: 0.8289	LR: 0.020000
Training Epoch: 22 [47488/49812]	Loss: 0.8087	LR: 0.020000
Training Epoch: 22 [47552/49812]	Loss: 0.8807	LR: 0.020000
Training Epoch: 22 [47616/49812]	Loss: 0.9971	LR: 0.020000
Training Epoch: 22 [47680/49812]	Loss: 0.6745	LR: 0.020000
Training Epoch: 22 [47744/49812]	Loss: 1.0440	LR: 0.020000
Training Epoch: 22 [47808/49812]	Loss: 0.9800	LR: 0.020000
Training Epoch: 22 [47872/49812]	Loss: 1.2307	LR: 0.020000
Training Epoch: 22 [47936/49812]	Loss: 0.9233	LR: 0.020000
Training Epoch: 22 [48000/49812]	Loss: 0.5703	LR: 0.020000
Training Epoch: 22 [48064/49812]	Loss: 0.8333	LR: 0.020000
Training Epoch: 22 [48128/49812]	Loss: 0.8709	LR: 0.020000
Training Epoch: 22 [48192/49812]	Loss: 0.9073	LR: 0.020000
Training Epoch: 22 [48256/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 22 [48320/49812]	Loss: 0.8438	LR: 0.020000
Training Epoch: 22 [48384/49812]	Loss: 0.9228	LR: 0.020000
Training Epoch: 22 [48448/49812]	Loss: 0.8710	LR: 0.020000
Training Epoch: 22 [48512/49812]	Loss: 0.7640	LR: 0.020000
Training Epoch: 22 [48576/49812]	Loss: 0.9230	LR: 0.020000
Training Epoch: 22 [48640/49812]	Loss: 1.0292	LR: 0.020000
Training Epoch: 22 [48704/49812]	Loss: 0.6976	LR: 0.020000
Training Epoch: 22 [48768/49812]	Loss: 0.9613	LR: 0.020000
Training Epoch: 22 [48832/49812]	Loss: 0.7031	LR: 0.020000
Training Epoch: 22 [48896/49812]	Loss: 1.0093	LR: 0.020000
Training Epoch: 22 [48960/49812]	Loss: 0.9984	LR: 0.020000
Training Epoch: 22 [49024/49812]	Loss: 0.8735	LR: 0.020000
Training Epoch: 22 [49088/49812]	Loss: 0.7670	LR: 0.020000
Training Epoch: 22 [49152/49812]	Loss: 0.8101	LR: 0.020000
Training Epoch: 22 [49216/49812]	Loss: 0.8966	LR: 0.020000
Training Epoch: 22 [49280/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 22 [49344/49812]	Loss: 0.7223	LR: 0.020000
Training Epoch: 22 [49408/49812]	Loss: 1.0660	LR: 0.020000
Training Epoch: 22 [49472/49812]	Loss: 0.8017	LR: 0.020000
Training Epoch: 22 [49536/49812]	Loss: 0.9348	LR: 0.020000
Training Epoch: 22 [49600/49812]	Loss: 0.6728	LR: 0.020000
Training Epoch: 22 [49664/49812]	Loss: 0.7132	LR: 0.020000
Training Epoch: 22 [49728/49812]	Loss: 0.7678	LR: 0.020000
Training Epoch: 22 [49792/49812]	Loss: 0.8539	LR: 0.020000
Training Epoch: 22 [49812/49812]	Loss: 1.0779	LR: 0.020000
Epoch 22 - Average Train Loss: 0.8419, Train Accuracy: 0.7296
Epoch 22 training time consumed: 252.79s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0154, Accuracy: 0.7018, Time consumed:16.71s
Training Epoch: 23 [64/49812]	Loss: 0.8644	LR: 0.020000
Training Epoch: 23 [128/49812]	Loss: 0.8259	LR: 0.020000
Training Epoch: 23 [192/49812]	Loss: 0.8671	LR: 0.020000
Training Epoch: 23 [256/49812]	Loss: 1.0226	LR: 0.020000
Training Epoch: 23 [320/49812]	Loss: 1.0936	LR: 0.020000
Training Epoch: 23 [384/49812]	Loss: 0.8031	LR: 0.020000
Training Epoch: 23 [448/49812]	Loss: 1.0605	LR: 0.020000
Training Epoch: 23 [512/49812]	Loss: 0.5868	LR: 0.020000
Training Epoch: 23 [576/49812]	Loss: 0.8746	LR: 0.020000
Training Epoch: 23 [640/49812]	Loss: 0.8119	LR: 0.020000
Training Epoch: 23 [704/49812]	Loss: 0.8434	LR: 0.020000
Training Epoch: 23 [768/49812]	Loss: 0.8638	LR: 0.020000
Training Epoch: 23 [832/49812]	Loss: 0.8282	LR: 0.020000
Training Epoch: 23 [896/49812]	Loss: 0.6988	LR: 0.020000
Training Epoch: 23 [960/49812]	Loss: 0.9385	LR: 0.020000
Training Epoch: 23 [1024/49812]	Loss: 0.9147	LR: 0.020000
Training Epoch: 23 [1088/49812]	Loss: 0.8307	LR: 0.020000
Training Epoch: 23 [1152/49812]	Loss: 0.6503	LR: 0.020000
Training Epoch: 23 [1216/49812]	Loss: 0.6710	LR: 0.020000
Training Epoch: 23 [1280/49812]	Loss: 0.8546	LR: 0.020000
Training Epoch: 23 [1344/49812]	Loss: 0.8307	LR: 0.020000
Training Epoch: 23 [1408/49812]	Loss: 0.9210	LR: 0.020000
Training Epoch: 23 [1472/49812]	Loss: 0.7419	LR: 0.020000
Training Epoch: 23 [1536/49812]	Loss: 0.7264	LR: 0.020000
Training Epoch: 23 [1600/49812]	Loss: 0.8755	LR: 0.020000
Training Epoch: 23 [1664/49812]	Loss: 0.8404	LR: 0.020000
Training Epoch: 23 [1728/49812]	Loss: 1.0697	LR: 0.020000
Training Epoch: 23 [1792/49812]	Loss: 0.7474	LR: 0.020000
Training Epoch: 23 [1856/49812]	Loss: 0.8967	LR: 0.020000
Training Epoch: 23 [1920/49812]	Loss: 1.0596	LR: 0.020000
Training Epoch: 23 [1984/49812]	Loss: 0.8035	LR: 0.020000
Training Epoch: 23 [2048/49812]	Loss: 0.8724	LR: 0.020000
Training Epoch: 23 [2112/49812]	Loss: 1.0016	LR: 0.020000
Training Epoch: 23 [2176/49812]	Loss: 0.8594	LR: 0.020000
Training Epoch: 23 [2240/49812]	Loss: 0.7430	LR: 0.020000
Training Epoch: 23 [2304/49812]	Loss: 0.7136	LR: 0.020000
Training Epoch: 23 [2368/49812]	Loss: 0.9929	LR: 0.020000
Training Epoch: 23 [2432/49812]	Loss: 0.5373	LR: 0.020000
Training Epoch: 23 [2496/49812]	Loss: 0.7475	LR: 0.020000
Training Epoch: 23 [2560/49812]	Loss: 0.8522	LR: 0.020000
Training Epoch: 23 [2624/49812]	Loss: 0.8367	LR: 0.020000
Training Epoch: 23 [2688/49812]	Loss: 0.7662	LR: 0.020000
Training Epoch: 23 [2752/49812]	Loss: 0.7971	LR: 0.020000
Training Epoch: 23 [2816/49812]	Loss: 0.9028	LR: 0.020000
Training Epoch: 23 [2880/49812]	Loss: 1.0016	LR: 0.020000
Training Epoch: 23 [2944/49812]	Loss: 0.6381	LR: 0.020000
Training Epoch: 23 [3008/49812]	Loss: 0.9154	LR: 0.020000
Training Epoch: 23 [3072/49812]	Loss: 0.9624	LR: 0.020000
Training Epoch: 23 [3136/49812]	Loss: 0.9045	LR: 0.020000
Training Epoch: 23 [3200/49812]	Loss: 0.8358	LR: 0.020000
Training Epoch: 23 [3264/49812]	Loss: 0.7065	LR: 0.020000
Training Epoch: 23 [3328/49812]	Loss: 0.7343	LR: 0.020000
Training Epoch: 23 [3392/49812]	Loss: 0.8105	LR: 0.020000
Training Epoch: 23 [3456/49812]	Loss: 0.8335	LR: 0.020000
Training Epoch: 23 [3520/49812]	Loss: 0.8846	LR: 0.020000
Training Epoch: 23 [3584/49812]	Loss: 1.1681	LR: 0.020000
Training Epoch: 23 [3648/49812]	Loss: 0.7901	LR: 0.020000
Training Epoch: 23 [3712/49812]	Loss: 0.7318	LR: 0.020000
Training Epoch: 23 [3776/49812]	Loss: 1.1598	LR: 0.020000
Training Epoch: 23 [3840/49812]	Loss: 0.8060	LR: 0.020000
Training Epoch: 23 [3904/49812]	Loss: 0.7098	LR: 0.020000
Training Epoch: 23 [3968/49812]	Loss: 0.6800	LR: 0.020000
Training Epoch: 23 [4032/49812]	Loss: 0.6463	LR: 0.020000
Training Epoch: 23 [4096/49812]	Loss: 0.8216	LR: 0.020000
Training Epoch: 23 [4160/49812]	Loss: 0.8094	LR: 0.020000
Training Epoch: 23 [4224/49812]	Loss: 0.9838	LR: 0.020000
Training Epoch: 23 [4288/49812]	Loss: 0.5254	LR: 0.020000
Training Epoch: 23 [4352/49812]	Loss: 0.7752	LR: 0.020000
Training Epoch: 23 [4416/49812]	Loss: 1.2328	LR: 0.020000
Training Epoch: 23 [4480/49812]	Loss: 0.7324	LR: 0.020000
Training Epoch: 23 [4544/49812]	Loss: 0.7952	LR: 0.020000
Training Epoch: 23 [4608/49812]	Loss: 0.7874	LR: 0.020000
Training Epoch: 23 [4672/49812]	Loss: 0.9866	LR: 0.020000
Training Epoch: 23 [4736/49812]	Loss: 0.6585	LR: 0.020000
Training Epoch: 23 [4800/49812]	Loss: 1.1018	LR: 0.020000
Training Epoch: 23 [4864/49812]	Loss: 0.9466	LR: 0.020000
Training Epoch: 23 [4928/49812]	Loss: 0.8799	LR: 0.020000
Training Epoch: 23 [4992/49812]	Loss: 0.7924	LR: 0.020000
Training Epoch: 23 [5056/49812]	Loss: 0.9045	LR: 0.020000
Training Epoch: 23 [5120/49812]	Loss: 0.7743	LR: 0.020000
Training Epoch: 23 [5184/49812]	Loss: 1.1331	LR: 0.020000
Training Epoch: 23 [5248/49812]	Loss: 0.8633	LR: 0.020000
Training Epoch: 23 [5312/49812]	Loss: 0.8525	LR: 0.020000
Training Epoch: 23 [5376/49812]	Loss: 0.6219	LR: 0.020000
Training Epoch: 23 [5440/49812]	Loss: 0.9353	LR: 0.020000
Training Epoch: 23 [5504/49812]	Loss: 0.7821	LR: 0.020000
Training Epoch: 23 [5568/49812]	Loss: 0.8333	LR: 0.020000
Training Epoch: 23 [5632/49812]	Loss: 0.7475	LR: 0.020000
Training Epoch: 23 [5696/49812]	Loss: 0.6525	LR: 0.020000
Training Epoch: 23 [5760/49812]	Loss: 0.8654	LR: 0.020000
Training Epoch: 23 [5824/49812]	Loss: 0.7448	LR: 0.020000
Training Epoch: 23 [5888/49812]	Loss: 0.6317	LR: 0.020000
Training Epoch: 23 [5952/49812]	Loss: 0.7208	LR: 0.020000
Training Epoch: 23 [6016/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 23 [6080/49812]	Loss: 0.7563	LR: 0.020000
Training Epoch: 23 [6144/49812]	Loss: 0.8139	LR: 0.020000
Training Epoch: 23 [6208/49812]	Loss: 0.8356	LR: 0.020000
Training Epoch: 23 [6272/49812]	Loss: 0.8879	LR: 0.020000
Training Epoch: 23 [6336/49812]	Loss: 0.6957	LR: 0.020000
Training Epoch: 23 [6400/49812]	Loss: 0.9091	LR: 0.020000
Training Epoch: 23 [6464/49812]	Loss: 0.7482	LR: 0.020000
Training Epoch: 23 [6528/49812]	Loss: 1.3603	LR: 0.020000
Training Epoch: 23 [6592/49812]	Loss: 1.0891	LR: 0.020000
Training Epoch: 23 [6656/49812]	Loss: 1.0538	LR: 0.020000
Training Epoch: 23 [6720/49812]	Loss: 0.7509	LR: 0.020000
Training Epoch: 23 [6784/49812]	Loss: 0.7985	LR: 0.020000
Training Epoch: 23 [6848/49812]	Loss: 1.0563	LR: 0.020000
Training Epoch: 23 [6912/49812]	Loss: 1.0479	LR: 0.020000
Training Epoch: 23 [6976/49812]	Loss: 0.6525	LR: 0.020000
Training Epoch: 23 [7040/49812]	Loss: 0.8085	LR: 0.020000
Training Epoch: 23 [7104/49812]	Loss: 1.1223	LR: 0.020000
Training Epoch: 23 [7168/49812]	Loss: 0.7007	LR: 0.020000
Training Epoch: 23 [7232/49812]	Loss: 0.6468	LR: 0.020000
Training Epoch: 23 [7296/49812]	Loss: 0.7556	LR: 0.020000
Training Epoch: 23 [7360/49812]	Loss: 0.7532	LR: 0.020000
Training Epoch: 23 [7424/49812]	Loss: 0.8119	LR: 0.020000
Training Epoch: 23 [7488/49812]	Loss: 0.7747	LR: 0.020000
Training Epoch: 23 [7552/49812]	Loss: 0.7435	LR: 0.020000
Training Epoch: 23 [7616/49812]	Loss: 0.8756	LR: 0.020000
Training Epoch: 23 [7680/49812]	Loss: 0.6792	LR: 0.020000
Training Epoch: 23 [7744/49812]	Loss: 1.0116	LR: 0.020000
Training Epoch: 23 [7808/49812]	Loss: 0.8528	LR: 0.020000
Training Epoch: 23 [7872/49812]	Loss: 0.6279	LR: 0.020000
Training Epoch: 23 [7936/49812]	Loss: 0.5340	LR: 0.020000
Training Epoch: 23 [8000/49812]	Loss: 0.8856	LR: 0.020000
Training Epoch: 23 [8064/49812]	Loss: 0.8213	LR: 0.020000
Training Epoch: 23 [8128/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 23 [8192/49812]	Loss: 0.8870	LR: 0.020000
Training Epoch: 23 [8256/49812]	Loss: 0.7649	LR: 0.020000
Training Epoch: 23 [8320/49812]	Loss: 0.6518	LR: 0.020000
Training Epoch: 23 [8384/49812]	Loss: 0.8989	LR: 0.020000
Training Epoch: 23 [8448/49812]	Loss: 0.6607	LR: 0.020000
Training Epoch: 23 [8512/49812]	Loss: 0.9935	LR: 0.020000
Training Epoch: 23 [8576/49812]	Loss: 0.5723	LR: 0.020000
Training Epoch: 23 [8640/49812]	Loss: 0.7369	LR: 0.020000
Training Epoch: 23 [8704/49812]	Loss: 0.7323	LR: 0.020000
Training Epoch: 23 [8768/49812]	Loss: 0.9329	LR: 0.020000
Training Epoch: 23 [8832/49812]	Loss: 1.1276	LR: 0.020000
Training Epoch: 23 [8896/49812]	Loss: 1.0911	LR: 0.020000
Training Epoch: 23 [8960/49812]	Loss: 0.9095	LR: 0.020000
Training Epoch: 23 [9024/49812]	Loss: 0.6822	LR: 0.020000
Training Epoch: 23 [9088/49812]	Loss: 0.8046	LR: 0.020000
Training Epoch: 23 [9152/49812]	Loss: 0.7508	LR: 0.020000
Training Epoch: 23 [9216/49812]	Loss: 0.8810	LR: 0.020000
Training Epoch: 23 [9280/49812]	Loss: 0.9654	LR: 0.020000
Training Epoch: 23 [9344/49812]	Loss: 0.9065	LR: 0.020000
Training Epoch: 23 [9408/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 23 [9472/49812]	Loss: 0.4834	LR: 0.020000
Training Epoch: 23 [9536/49812]	Loss: 0.7048	LR: 0.020000
Training Epoch: 23 [9600/49812]	Loss: 0.5866	LR: 0.020000
Training Epoch: 23 [9664/49812]	Loss: 0.8214	LR: 0.020000
Training Epoch: 23 [9728/49812]	Loss: 0.8440	LR: 0.020000
Training Epoch: 23 [9792/49812]	Loss: 0.6563	LR: 0.020000
Training Epoch: 23 [9856/49812]	Loss: 0.9228	LR: 0.020000
Training Epoch: 23 [9920/49812]	Loss: 0.8492	LR: 0.020000
Training Epoch: 23 [9984/49812]	Loss: 1.0544	LR: 0.020000
Training Epoch: 23 [10048/49812]	Loss: 0.8862	LR: 0.020000
Training Epoch: 23 [10112/49812]	Loss: 1.2544	LR: 0.020000
Training Epoch: 23 [10176/49812]	Loss: 0.8666	LR: 0.020000
Training Epoch: 23 [10240/49812]	Loss: 0.8278	LR: 0.020000
Training Epoch: 23 [10304/49812]	Loss: 0.7296	LR: 0.020000
Training Epoch: 23 [10368/49812]	Loss: 0.8264	LR: 0.020000
Training Epoch: 23 [10432/49812]	Loss: 0.9236	LR: 0.020000
Training Epoch: 23 [10496/49812]	Loss: 0.6668	LR: 0.020000
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Training Epoch: 23 [10816/49812]	Loss: 0.7373	LR: 0.020000
Training Epoch: 23 [10880/49812]	Loss: 0.6447	LR: 0.020000
Training Epoch: 23 [10944/49812]	Loss: 0.9607	LR: 0.020000
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Training Epoch: 23 [11072/49812]	Loss: 1.1478	LR: 0.020000
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Training Epoch: 23 [11328/49812]	Loss: 0.7607	LR: 0.020000
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Training Epoch: 23 [12288/49812]	Loss: 1.1324	LR: 0.020000
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Training Epoch: 23 [12416/49812]	Loss: 0.9844	LR: 0.020000
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Training Epoch: 23 [12608/49812]	Loss: 0.5909	LR: 0.020000
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Training Epoch: 23 [12800/49812]	Loss: 1.0187	LR: 0.020000
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Training Epoch: 23 [15296/49812]	Loss: 0.8696	LR: 0.020000
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Training Epoch: 23 [15488/49812]	Loss: 0.7369	LR: 0.020000
Training Epoch: 23 [15552/49812]	Loss: 0.9798	LR: 0.020000
Training Epoch: 23 [15616/49812]	Loss: 0.8132	LR: 0.020000
Training Epoch: 23 [15680/49812]	Loss: 0.8393	LR: 0.020000
Training Epoch: 23 [15744/49812]	Loss: 0.8902	LR: 0.020000
Training Epoch: 23 [15808/49812]	Loss: 0.6408	LR: 0.020000
Training Epoch: 23 [15872/49812]	Loss: 0.5674	LR: 0.020000
Training Epoch: 23 [15936/49812]	Loss: 0.9230	LR: 0.020000
Training Epoch: 23 [16000/49812]	Loss: 0.8344	LR: 0.020000
Training Epoch: 23 [16064/49812]	Loss: 1.0130	LR: 0.020000
Training Epoch: 23 [16128/49812]	Loss: 0.9159	LR: 0.020000
Training Epoch: 23 [16192/49812]	Loss: 0.8287	LR: 0.020000
Training Epoch: 23 [16256/49812]	Loss: 0.7945	LR: 0.020000
Training Epoch: 23 [16320/49812]	Loss: 0.8493	LR: 0.020000
Training Epoch: 23 [16384/49812]	Loss: 0.7599	LR: 0.020000
Training Epoch: 23 [16448/49812]	Loss: 0.7176	LR: 0.020000
Training Epoch: 23 [16512/49812]	Loss: 0.7047	LR: 0.020000
Training Epoch: 23 [16576/49812]	Loss: 0.8390	LR: 0.020000
Training Epoch: 23 [16640/49812]	Loss: 0.6298	LR: 0.020000
Training Epoch: 23 [16704/49812]	Loss: 0.6858	LR: 0.020000
Training Epoch: 23 [16768/49812]	Loss: 0.7806	LR: 0.020000
Training Epoch: 23 [16832/49812]	Loss: 0.7341	LR: 0.020000
Training Epoch: 23 [16896/49812]	Loss: 1.1938	LR: 0.020000
Training Epoch: 23 [16960/49812]	Loss: 0.8439	LR: 0.020000
Training Epoch: 23 [17024/49812]	Loss: 0.8390	LR: 0.020000
Training Epoch: 23 [17088/49812]	Loss: 1.0092	LR: 0.020000
Training Epoch: 23 [17152/49812]	Loss: 0.8212	LR: 0.020000
Training Epoch: 23 [17216/49812]	Loss: 1.0250	LR: 0.020000
Training Epoch: 23 [17280/49812]	Loss: 0.7213	LR: 0.020000
Training Epoch: 23 [17344/49812]	Loss: 0.7224	LR: 0.020000
Training Epoch: 23 [17408/49812]	Loss: 0.6397	LR: 0.020000
Training Epoch: 23 [17472/49812]	Loss: 1.1789	LR: 0.020000
Training Epoch: 23 [17536/49812]	Loss: 0.8880	LR: 0.020000
Training Epoch: 23 [17600/49812]	Loss: 0.9067	LR: 0.020000
Training Epoch: 23 [17664/49812]	Loss: 0.8527	LR: 0.020000
Training Epoch: 23 [17728/49812]	Loss: 0.8191	LR: 0.020000
Training Epoch: 23 [17792/49812]	Loss: 0.6747	LR: 0.020000
Training Epoch: 23 [17856/49812]	Loss: 0.9955	LR: 0.020000
Training Epoch: 23 [17920/49812]	Loss: 0.8662	LR: 0.020000
Training Epoch: 23 [17984/49812]	Loss: 0.7300	LR: 0.020000
Training Epoch: 23 [18048/49812]	Loss: 0.7405	LR: 0.020000
Training Epoch: 23 [18112/49812]	Loss: 0.8513	LR: 0.020000
Training Epoch: 23 [18176/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 23 [18240/49812]	Loss: 0.8146	LR: 0.020000
Training Epoch: 23 [18304/49812]	Loss: 0.9317	LR: 0.020000
Training Epoch: 23 [18368/49812]	Loss: 0.7799	LR: 0.020000
Training Epoch: 23 [18432/49812]	Loss: 0.8412	LR: 0.020000
Training Epoch: 23 [18496/49812]	Loss: 0.9364	LR: 0.020000
Training Epoch: 23 [18560/49812]	Loss: 0.8014	LR: 0.020000
Training Epoch: 23 [18624/49812]	Loss: 0.7529	LR: 0.020000
Training Epoch: 23 [18688/49812]	Loss: 1.1173	LR: 0.020000
Training Epoch: 23 [18752/49812]	Loss: 0.7130	LR: 0.020000
Training Epoch: 23 [18816/49812]	Loss: 0.9211	LR: 0.020000
Training Epoch: 23 [18880/49812]	Loss: 0.7953	LR: 0.020000
Training Epoch: 23 [18944/49812]	Loss: 1.0865	LR: 0.020000
Training Epoch: 23 [19008/49812]	Loss: 1.0392	LR: 0.020000
Training Epoch: 23 [19072/49812]	Loss: 0.6445	LR: 0.020000
Training Epoch: 23 [19136/49812]	Loss: 0.9818	LR: 0.020000
Training Epoch: 23 [19200/49812]	Loss: 0.8065	LR: 0.020000
Training Epoch: 23 [19264/49812]	Loss: 0.5321	LR: 0.020000
Training Epoch: 23 [19328/49812]	Loss: 0.7497	LR: 0.020000
Training Epoch: 23 [19392/49812]	Loss: 0.7505	LR: 0.020000
Training Epoch: 23 [19456/49812]	Loss: 0.6772	LR: 0.020000
Training Epoch: 23 [19520/49812]	Loss: 0.7501	LR: 0.020000
Training Epoch: 23 [19584/49812]	Loss: 0.9465	LR: 0.020000
Training Epoch: 23 [19648/49812]	Loss: 0.7232	LR: 0.020000
Training Epoch: 23 [19712/49812]	Loss: 0.6457	LR: 0.020000
Training Epoch: 23 [19776/49812]	Loss: 0.8677	LR: 0.020000
Training Epoch: 23 [19840/49812]	Loss: 0.7641	LR: 0.020000
Training Epoch: 23 [19904/49812]	Loss: 0.7140	LR: 0.020000
Training Epoch: 23 [19968/49812]	Loss: 0.6156	LR: 0.020000
Training Epoch: 23 [20032/49812]	Loss: 0.6015	LR: 0.020000
Training Epoch: 23 [20096/49812]	Loss: 0.7003	LR: 0.020000
Training Epoch: 23 [20160/49812]	Loss: 0.7862	LR: 0.020000
Training Epoch: 23 [20224/49812]	Loss: 0.5094	LR: 0.020000
Training Epoch: 23 [20288/49812]	Loss: 0.9543	LR: 0.020000
Training Epoch: 23 [20352/49812]	Loss: 0.9576	LR: 0.020000
Training Epoch: 23 [20416/49812]	Loss: 1.0580	LR: 0.020000
Training Epoch: 23 [20480/49812]	Loss: 0.6717	LR: 0.020000
Training Epoch: 23 [20544/49812]	Loss: 0.7667	LR: 0.020000
Training Epoch: 23 [20608/49812]	Loss: 0.9211	LR: 0.020000
Training Epoch: 23 [20672/49812]	Loss: 0.8931	LR: 0.020000
Training Epoch: 23 [20736/49812]	Loss: 0.5319	LR: 0.020000
Training Epoch: 23 [20800/49812]	Loss: 0.6996	LR: 0.020000
Training Epoch: 23 [20864/49812]	Loss: 0.7707	LR: 0.020000
Training Epoch: 23 [20928/49812]	Loss: 0.7276	LR: 0.020000
Training Epoch: 23 [20992/49812]	Loss: 1.1074	LR: 0.020000
Training Epoch: 23 [21056/49812]	Loss: 0.6964	LR: 0.020000
Training Epoch: 23 [21120/49812]	Loss: 0.7793	LR: 0.020000
Training Epoch: 23 [21184/49812]	Loss: 0.7563	LR: 0.020000
Training Epoch: 23 [21248/49812]	Loss: 0.7655	LR: 0.020000
Training Epoch: 23 [21312/49812]	Loss: 0.6606	LR: 0.020000
Training Epoch: 23 [21376/49812]	Loss: 0.6249	LR: 0.020000
Training Epoch: 23 [21440/49812]	Loss: 0.8648	LR: 0.020000
Training Epoch: 23 [21504/49812]	Loss: 0.7940	LR: 0.020000
Training Epoch: 23 [21568/49812]	Loss: 0.8304	LR: 0.020000
Training Epoch: 23 [21632/49812]	Loss: 0.6683	LR: 0.020000
Training Epoch: 23 [21696/49812]	Loss: 0.8700	LR: 0.020000
Training Epoch: 23 [21760/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 23 [21824/49812]	Loss: 0.6857	LR: 0.020000
Training Epoch: 23 [21888/49812]	Loss: 0.5751	LR: 0.020000
Training Epoch: 23 [21952/49812]	Loss: 0.9930	LR: 0.020000
Training Epoch: 23 [22016/49812]	Loss: 0.9019	LR: 0.020000
Training Epoch: 23 [22080/49812]	Loss: 0.9476	LR: 0.020000
Training Epoch: 23 [22144/49812]	Loss: 1.0155	LR: 0.020000
Training Epoch: 23 [22208/49812]	Loss: 0.7862	LR: 0.020000
Training Epoch: 23 [22272/49812]	Loss: 1.1279	LR: 0.020000
Training Epoch: 23 [22336/49812]	Loss: 0.8021	LR: 0.020000
Training Epoch: 23 [22400/49812]	Loss: 0.7626	LR: 0.020000
Training Epoch: 23 [22464/49812]	Loss: 0.8292	LR: 0.020000
Training Epoch: 23 [22528/49812]	Loss: 0.5909	LR: 0.020000
Training Epoch: 23 [22592/49812]	Loss: 0.6493	LR: 0.020000
Training Epoch: 23 [22656/49812]	Loss: 0.8540	LR: 0.020000
Training Epoch: 23 [22720/49812]	Loss: 0.9558	LR: 0.020000
Training Epoch: 23 [22784/49812]	Loss: 0.8172	LR: 0.020000
Training Epoch: 23 [22848/49812]	Loss: 0.7915	LR: 0.020000
Training Epoch: 23 [22912/49812]	Loss: 0.5329	LR: 0.020000
Training Epoch: 23 [22976/49812]	Loss: 0.8146	LR: 0.020000
Training Epoch: 23 [23040/49812]	Loss: 0.7830	LR: 0.020000
Training Epoch: 23 [23104/49812]	Loss: 0.8677	LR: 0.020000
Training Epoch: 23 [23168/49812]	Loss: 1.0547	LR: 0.020000
Training Epoch: 23 [23232/49812]	Loss: 0.6184	LR: 0.020000
Training Epoch: 23 [23296/49812]	Loss: 0.6808	LR: 0.020000
Training Epoch: 23 [23360/49812]	Loss: 0.9632	LR: 0.020000
Training Epoch: 23 [23424/49812]	Loss: 0.7888	LR: 0.020000
Training Epoch: 23 [23488/49812]	Loss: 0.6049	LR: 0.020000
Training Epoch: 23 [23552/49812]	Loss: 0.8617	LR: 0.020000
Training Epoch: 23 [23616/49812]	Loss: 0.7297	LR: 0.020000
Training Epoch: 23 [23680/49812]	Loss: 0.7936	LR: 0.020000
Training Epoch: 23 [23744/49812]	Loss: 0.8861	LR: 0.020000
Training Epoch: 23 [23808/49812]	Loss: 0.9147	LR: 0.020000
Training Epoch: 23 [23872/49812]	Loss: 0.7111	LR: 0.020000
Training Epoch: 23 [23936/49812]	Loss: 0.7551	LR: 0.020000
Training Epoch: 23 [24000/49812]	Loss: 0.8667	LR: 0.020000
Training Epoch: 23 [24064/49812]	Loss: 0.9948	LR: 0.020000
Training Epoch: 23 [24128/49812]	Loss: 1.0508	LR: 0.020000
Training Epoch: 23 [24192/49812]	Loss: 0.9391	LR: 0.020000
Training Epoch: 23 [24256/49812]	Loss: 0.8382	LR: 0.020000
Training Epoch: 23 [24320/49812]	Loss: 0.7012	LR: 0.020000
Training Epoch: 23 [24384/49812]	Loss: 0.6113	LR: 0.020000
Training Epoch: 23 [24448/49812]	Loss: 0.7422	LR: 0.020000
Training Epoch: 23 [24512/49812]	Loss: 0.8091	LR: 0.020000
Training Epoch: 23 [24576/49812]	Loss: 0.8049	LR: 0.020000
Training Epoch: 23 [24640/49812]	Loss: 0.9762	LR: 0.020000
Training Epoch: 23 [24704/49812]	Loss: 0.8026	LR: 0.020000
Training Epoch: 23 [24768/49812]	Loss: 0.8175	LR: 0.020000
Training Epoch: 23 [24832/49812]	Loss: 0.6402	LR: 0.020000
Training Epoch: 23 [24896/49812]	Loss: 1.0122	LR: 0.020000
Training Epoch: 23 [24960/49812]	Loss: 0.9132	LR: 0.020000
Training Epoch: 23 [25024/49812]	Loss: 0.7619	LR: 0.020000
Training Epoch: 23 [25088/49812]	Loss: 0.7084	LR: 0.020000
Training Epoch: 23 [25152/49812]	Loss: 0.6334	LR: 0.020000
Training Epoch: 23 [25216/49812]	Loss: 0.9769	LR: 0.020000
Training Epoch: 23 [25280/49812]	Loss: 0.6519	LR: 0.020000
Training Epoch: 23 [25344/49812]	Loss: 0.8201	LR: 0.020000
Training Epoch: 23 [25408/49812]	Loss: 1.0583	LR: 0.020000
Training Epoch: 23 [25472/49812]	Loss: 0.7456	LR: 0.020000
Training Epoch: 23 [25536/49812]	Loss: 0.7672	LR: 0.020000
Training Epoch: 23 [25600/49812]	Loss: 0.7330	LR: 0.020000
Training Epoch: 23 [25664/49812]	Loss: 0.9865	LR: 0.020000
Training Epoch: 23 [25728/49812]	Loss: 0.5845	LR: 0.020000
Training Epoch: 23 [25792/49812]	Loss: 0.8406	LR: 0.020000
Training Epoch: 23 [25856/49812]	Loss: 1.1042	LR: 0.020000
Training Epoch: 23 [25920/49812]	Loss: 1.0963	LR: 0.020000
Training Epoch: 23 [25984/49812]	Loss: 0.4739	LR: 0.020000
Training Epoch: 23 [26048/49812]	Loss: 0.7078	LR: 0.020000
Training Epoch: 23 [26112/49812]	Loss: 0.6510	LR: 0.020000
Training Epoch: 23 [26176/49812]	Loss: 0.8062	LR: 0.020000
Training Epoch: 23 [26240/49812]	Loss: 0.9281	LR: 0.020000
Training Epoch: 23 [26304/49812]	Loss: 0.7296	LR: 0.020000
Training Epoch: 23 [26368/49812]	Loss: 0.8995	LR: 0.020000
Training Epoch: 23 [26432/49812]	Loss: 1.0191	LR: 0.020000
Training Epoch: 23 [26496/49812]	Loss: 0.6063	LR: 0.020000
Training Epoch: 23 [26560/49812]	Loss: 0.9925	LR: 0.020000
Training Epoch: 23 [26624/49812]	Loss: 1.0793	LR: 0.020000
Training Epoch: 23 [26688/49812]	Loss: 0.8398	LR: 0.020000
Training Epoch: 23 [26752/49812]	Loss: 0.6695	LR: 0.020000
Training Epoch: 23 [26816/49812]	Loss: 0.7256	LR: 0.020000
Training Epoch: 23 [26880/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 23 [26944/49812]	Loss: 0.7083	LR: 0.020000
Training Epoch: 23 [27008/49812]	Loss: 0.6815	LR: 0.020000
Training Epoch: 23 [27072/49812]	Loss: 0.7053	LR: 0.020000
Training Epoch: 23 [27136/49812]	Loss: 0.7999	LR: 0.020000
Training Epoch: 23 [27200/49812]	Loss: 0.8207	LR: 0.020000
Training Epoch: 23 [27264/49812]	Loss: 0.8891	LR: 0.020000
Training Epoch: 23 [27328/49812]	Loss: 0.8008	LR: 0.020000
Training Epoch: 23 [27392/49812]	Loss: 0.7172	LR: 0.020000
Training Epoch: 23 [27456/49812]	Loss: 0.8293	LR: 0.020000
Training Epoch: 23 [27520/49812]	Loss: 0.7099	LR: 0.020000
Training Epoch: 23 [27584/49812]	Loss: 0.8465	LR: 0.020000
Training Epoch: 23 [27648/49812]	Loss: 0.9882	LR: 0.020000
Training Epoch: 23 [27712/49812]	Loss: 0.8009	LR: 0.020000
Training Epoch: 23 [27776/49812]	Loss: 1.0608	LR: 0.020000
Training Epoch: 23 [27840/49812]	Loss: 0.7981	LR: 0.020000
Training Epoch: 23 [27904/49812]	Loss: 0.9302	LR: 0.020000
Training Epoch: 23 [27968/49812]	Loss: 0.8610	LR: 0.020000
Training Epoch: 23 [28032/49812]	Loss: 0.8259	LR: 0.020000
Training Epoch: 23 [28096/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 23 [28160/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 23 [28224/49812]	Loss: 0.7771	LR: 0.020000
Training Epoch: 23 [28288/49812]	Loss: 0.7116	LR: 0.020000
Training Epoch: 23 [28352/49812]	Loss: 1.0172	LR: 0.020000
Training Epoch: 23 [28416/49812]	Loss: 0.7649	LR: 0.020000
Training Epoch: 23 [28480/49812]	Loss: 0.7774	LR: 0.020000
Training Epoch: 23 [28544/49812]	Loss: 0.6117	LR: 0.020000
Training Epoch: 23 [28608/49812]	Loss: 0.7706	LR: 0.020000
Training Epoch: 23 [28672/49812]	Loss: 0.7996	LR: 0.020000
Training Epoch: 23 [28736/49812]	Loss: 1.0774	LR: 0.020000
Training Epoch: 23 [28800/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 23 [28864/49812]	Loss: 0.6996	LR: 0.020000
Training Epoch: 23 [28928/49812]	Loss: 1.1346	LR: 0.020000
Training Epoch: 23 [28992/49812]	Loss: 0.9889	LR: 0.020000
Training Epoch: 23 [29056/49812]	Loss: 0.7805	LR: 0.020000
Training Epoch: 23 [29120/49812]	Loss: 0.8777	LR: 0.020000
Training Epoch: 23 [29184/49812]	Loss: 0.8954	LR: 0.020000
Training Epoch: 23 [29248/49812]	Loss: 0.7385	LR: 0.020000
Training Epoch: 23 [29312/49812]	Loss: 0.6270	LR: 0.020000
Training Epoch: 23 [29376/49812]	Loss: 0.8672	LR: 0.020000
Training Epoch: 23 [29440/49812]	Loss: 0.7560	LR: 0.020000
Training Epoch: 23 [29504/49812]	Loss: 1.2429	LR: 0.020000
Training Epoch: 23 [29568/49812]	Loss: 0.6271	LR: 0.020000
Training Epoch: 23 [29632/49812]	Loss: 0.9791	LR: 0.020000
Training Epoch: 23 [29696/49812]	Loss: 0.8810	LR: 0.020000
Training Epoch: 23 [29760/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 23 [29824/49812]	Loss: 0.9003	LR: 0.020000
Training Epoch: 23 [29888/49812]	Loss: 0.8349	LR: 0.020000
Training Epoch: 23 [29952/49812]	Loss: 0.7808	LR: 0.020000
Training Epoch: 23 [30016/49812]	Loss: 0.8116	LR: 0.020000
Training Epoch: 23 [30080/49812]	Loss: 0.6463	LR: 0.020000
Training Epoch: 23 [30144/49812]	Loss: 0.9512	LR: 0.020000
Training Epoch: 23 [30208/49812]	Loss: 0.7790	LR: 0.020000
Training Epoch: 23 [30272/49812]	Loss: 0.9635	LR: 0.020000
Training Epoch: 23 [30336/49812]	Loss: 0.7853	LR: 0.020000
Training Epoch: 23 [30400/49812]	Loss: 1.0326	LR: 0.020000
Training Epoch: 23 [30464/49812]	Loss: 0.8276	LR: 0.020000
Training Epoch: 23 [30528/49812]	Loss: 0.7954	LR: 0.020000
Training Epoch: 23 [30592/49812]	Loss: 0.7822	LR: 0.020000
Training Epoch: 23 [30656/49812]	Loss: 0.9337	LR: 0.020000
Training Epoch: 23 [30720/49812]	Loss: 0.9634	LR: 0.020000
Training Epoch: 23 [30784/49812]	Loss: 0.9102	LR: 0.020000
Training Epoch: 23 [30848/49812]	Loss: 0.9951	LR: 0.020000
Training Epoch: 23 [30912/49812]	Loss: 0.8414	LR: 0.020000
Training Epoch: 23 [30976/49812]	Loss: 0.6848	LR: 0.020000
Training Epoch: 23 [31040/49812]	Loss: 1.1777	LR: 0.020000
Training Epoch: 23 [31104/49812]	Loss: 0.6269	LR: 0.020000
Training Epoch: 23 [31168/49812]	Loss: 0.7282	LR: 0.020000
Training Epoch: 23 [31232/49812]	Loss: 0.7766	LR: 0.020000
Training Epoch: 23 [31296/49812]	Loss: 0.8748	LR: 0.020000
Training Epoch: 23 [31360/49812]	Loss: 0.8628	LR: 0.020000
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Training Epoch: 23 [31488/49812]	Loss: 0.6836	LR: 0.020000
Training Epoch: 23 [31552/49812]	Loss: 0.9148	LR: 0.020000
Training Epoch: 23 [31616/49812]	Loss: 0.7166	LR: 0.020000
Training Epoch: 23 [31680/49812]	Loss: 0.5937	LR: 0.020000
Training Epoch: 23 [31744/49812]	Loss: 0.6929	LR: 0.020000
Training Epoch: 23 [31808/49812]	Loss: 0.9468	LR: 0.020000
Training Epoch: 23 [31872/49812]	Loss: 0.8271	LR: 0.020000
Training Epoch: 23 [31936/49812]	Loss: 0.8975	LR: 0.020000
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Training Epoch: 23 [32064/49812]	Loss: 0.6195	LR: 0.020000
Training Epoch: 23 [32128/49812]	Loss: 0.8581	LR: 0.020000
Training Epoch: 23 [32192/49812]	Loss: 0.9595	LR: 0.020000
Training Epoch: 23 [32256/49812]	Loss: 0.9007	LR: 0.020000
Training Epoch: 23 [32320/49812]	Loss: 0.8009	LR: 0.020000
Training Epoch: 23 [32384/49812]	Loss: 0.7094	LR: 0.020000
Training Epoch: 23 [32448/49812]	Loss: 0.9496	LR: 0.020000
Training Epoch: 23 [32512/49812]	Loss: 0.7820	LR: 0.020000
Training Epoch: 23 [32576/49812]	Loss: 0.7355	LR: 0.020000
Training Epoch: 23 [32640/49812]	Loss: 1.0631	LR: 0.020000
Training Epoch: 23 [32704/49812]	Loss: 1.1171	LR: 0.020000
Training Epoch: 23 [32768/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 23 [32832/49812]	Loss: 1.0108	LR: 0.020000
Training Epoch: 23 [32896/49812]	Loss: 0.8075	LR: 0.020000
Training Epoch: 23 [32960/49812]	Loss: 0.8347	LR: 0.020000
Training Epoch: 23 [33024/49812]	Loss: 1.0803	LR: 0.020000
Training Epoch: 23 [33088/49812]	Loss: 0.9448	LR: 0.020000
Training Epoch: 23 [33152/49812]	Loss: 0.8637	LR: 0.020000
Training Epoch: 23 [33216/49812]	Loss: 0.7605	LR: 0.020000
Training Epoch: 23 [33280/49812]	Loss: 0.7258	LR: 0.020000
Training Epoch: 23 [33344/49812]	Loss: 0.6314	LR: 0.020000
Training Epoch: 23 [33408/49812]	Loss: 1.0509	LR: 0.020000
Training Epoch: 23 [33472/49812]	Loss: 0.6642	LR: 0.020000
Training Epoch: 23 [33536/49812]	Loss: 0.8417	LR: 0.020000
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Training Epoch: 23 [33728/49812]	Loss: 0.8244	LR: 0.020000
Training Epoch: 23 [33792/49812]	Loss: 0.7034	LR: 0.020000
Training Epoch: 23 [33856/49812]	Loss: 0.8686	LR: 0.020000
Training Epoch: 23 [33920/49812]	Loss: 0.8421	LR: 0.020000
Training Epoch: 23 [33984/49812]	Loss: 0.9637	LR: 0.020000
Training Epoch: 23 [34048/49812]	Loss: 0.9149	LR: 0.020000
Training Epoch: 23 [34112/49812]	Loss: 0.9055	LR: 0.020000
Training Epoch: 23 [34176/49812]	Loss: 0.7464	LR: 0.020000
Training Epoch: 23 [34240/49812]	Loss: 1.0110	LR: 0.020000
Training Epoch: 23 [34304/49812]	Loss: 0.9686	LR: 0.020000
Training Epoch: 23 [34368/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 23 [34432/49812]	Loss: 0.7024	LR: 0.020000
Training Epoch: 23 [34496/49812]	Loss: 0.7676	LR: 0.020000
Training Epoch: 23 [34560/49812]	Loss: 1.0586	LR: 0.020000
Training Epoch: 23 [34624/49812]	Loss: 0.8196	LR: 0.020000
Training Epoch: 23 [34688/49812]	Loss: 1.0579	LR: 0.020000
Training Epoch: 23 [34752/49812]	Loss: 0.9560	LR: 0.020000
Training Epoch: 23 [34816/49812]	Loss: 0.9049	LR: 0.020000
Training Epoch: 23 [34880/49812]	Loss: 0.8861	LR: 0.020000
Training Epoch: 23 [34944/49812]	Loss: 0.8241	LR: 0.020000
Training Epoch: 23 [35008/49812]	Loss: 1.0566	LR: 0.020000
Training Epoch: 23 [35072/49812]	Loss: 0.9044	LR: 0.020000
Training Epoch: 23 [35136/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 23 [35200/49812]	Loss: 0.8830	LR: 0.020000
Training Epoch: 23 [35264/49812]	Loss: 0.7512	LR: 0.020000
Training Epoch: 23 [35328/49812]	Loss: 1.0500	LR: 0.020000
Training Epoch: 23 [35392/49812]	Loss: 0.7105	LR: 0.020000
Training Epoch: 23 [35456/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 23 [35520/49812]	Loss: 0.8146	LR: 0.020000
Training Epoch: 23 [35584/49812]	Loss: 0.7547	LR: 0.020000
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Training Epoch: 23 [35712/49812]	Loss: 0.5852	LR: 0.020000
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Training Epoch: 23 [36032/49812]	Loss: 0.6118	LR: 0.020000
Training Epoch: 23 [36096/49812]	Loss: 1.3700	LR: 0.020000
Training Epoch: 23 [36160/49812]	Loss: 0.7133	LR: 0.020000
Training Epoch: 23 [36224/49812]	Loss: 0.7106	LR: 0.020000
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Training Epoch: 23 [36352/49812]	Loss: 1.0676	LR: 0.020000
Training Epoch: 23 [36416/49812]	Loss: 0.7378	LR: 0.020000
Training Epoch: 23 [36480/49812]	Loss: 0.9996	LR: 0.020000
Training Epoch: 23 [36544/49812]	Loss: 0.7907	LR: 0.020000
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Training Epoch: 23 [36672/49812]	Loss: 0.7397	LR: 0.020000
Training Epoch: 23 [36736/49812]	Loss: 0.7608	LR: 0.020000
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Training Epoch: 23 [36928/49812]	Loss: 0.7995	LR: 0.020000
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Training Epoch: 23 [37248/49812]	Loss: 0.8070	LR: 0.020000
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Training Epoch: 23 [38144/49812]	Loss: 1.1339	LR: 0.020000
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Training Epoch: 23 [40064/49812]	Loss: 0.9533	LR: 0.020000
Training Epoch: 23 [40128/49812]	Loss: 0.7907	LR: 0.020000
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Training Epoch: 23 [40512/49812]	Loss: 1.2605	LR: 0.020000
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Training Epoch: 23 [40832/49812]	Loss: 1.0694	LR: 0.020000
Training Epoch: 23 [40896/49812]	Loss: 0.9027	LR: 0.020000
Training Epoch: 23 [40960/49812]	Loss: 0.9250	LR: 0.020000
Training Epoch: 23 [41024/49812]	Loss: 0.7984	LR: 0.020000
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Training Epoch: 23 [41408/49812]	Loss: 1.2062	LR: 0.020000
Training Epoch: 23 [41472/49812]	Loss: 0.8394	LR: 0.020000
Training Epoch: 23 [41536/49812]	Loss: 0.7679	LR: 0.020000
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Training Epoch: 23 [41664/49812]	Loss: 1.1317	LR: 0.020000
Training Epoch: 23 [41728/49812]	Loss: 0.9668	LR: 0.020000
Training Epoch: 23 [41792/49812]	Loss: 0.7537	LR: 0.020000
Training Epoch: 23 [41856/49812]	Loss: 0.9863	LR: 0.020000
Training Epoch: 23 [41920/49812]	Loss: 1.1066	LR: 0.020000
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Training Epoch: 23 [42368/49812]	Loss: 1.0920	LR: 0.020000
Training Epoch: 23 [42432/49812]	Loss: 0.9625	LR: 0.020000
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Training Epoch: 23 [42944/49812]	Loss: 0.7490	LR: 0.020000
Training Epoch: 23 [43008/49812]	Loss: 0.9656	LR: 0.020000
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Training Epoch: 23 [43264/49812]	Loss: 0.7371	LR: 0.020000
Training Epoch: 23 [43328/49812]	Loss: 0.8457	LR: 0.020000
Training Epoch: 23 [43392/49812]	Loss: 0.5605	LR: 0.020000
Training Epoch: 23 [43456/49812]	Loss: 0.8281	LR: 0.020000
Training Epoch: 23 [43520/49812]	Loss: 1.2654	LR: 0.020000
Training Epoch: 23 [43584/49812]	Loss: 0.9850	LR: 0.020000
Training Epoch: 23 [43648/49812]	Loss: 0.5153	LR: 0.020000
Training Epoch: 23 [43712/49812]	Loss: 1.1285	LR: 0.020000
Training Epoch: 23 [43776/49812]	Loss: 0.7336	LR: 0.020000
Training Epoch: 23 [43840/49812]	Loss: 0.5858	LR: 0.020000
Training Epoch: 23 [43904/49812]	Loss: 0.9155	LR: 0.020000
Training Epoch: 23 [43968/49812]	Loss: 0.6545	LR: 0.020000
Training Epoch: 23 [44032/49812]	Loss: 0.7724	LR: 0.020000
Training Epoch: 23 [44096/49812]	Loss: 0.7162	LR: 0.020000
Training Epoch: 23 [44160/49812]	Loss: 0.9859	LR: 0.020000
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Training Epoch: 23 [44288/49812]	Loss: 0.9754	LR: 0.020000
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Training Epoch: 23 [44416/49812]	Loss: 0.6505	LR: 0.020000
Training Epoch: 23 [44480/49812]	Loss: 1.1173	LR: 0.020000
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Training Epoch: 23 [44864/49812]	Loss: 1.1823	LR: 0.020000
Training Epoch: 23 [44928/49812]	Loss: 0.9018	LR: 0.020000
Training Epoch: 23 [44992/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 23 [45056/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 23 [45120/49812]	Loss: 0.9895	LR: 0.020000
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Training Epoch: 23 [45440/49812]	Loss: 1.0842	LR: 0.020000
Training Epoch: 23 [45504/49812]	Loss: 0.9068	LR: 0.020000
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Training Epoch: 23 [45824/49812]	Loss: 1.0928	LR: 0.020000
Training Epoch: 23 [45888/49812]	Loss: 0.7960	LR: 0.020000
Training Epoch: 23 [45952/49812]	Loss: 0.9813	LR: 0.020000
Training Epoch: 23 [46016/49812]	Loss: 0.8431	LR: 0.020000
Training Epoch: 23 [46080/49812]	Loss: 0.6912	LR: 0.020000
Training Epoch: 23 [46144/49812]	Loss: 1.0485	LR: 0.020000
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Training Epoch: 23 [46592/49812]	Loss: 0.8047	LR: 0.020000
Training Epoch: 23 [46656/49812]	Loss: 0.8485	LR: 0.020000
Training Epoch: 23 [46720/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 23 [46784/49812]	Loss: 0.7884	LR: 0.020000
Training Epoch: 23 [46848/49812]	Loss: 0.9415	LR: 0.020000
Training Epoch: 23 [46912/49812]	Loss: 0.7644	LR: 0.020000
Training Epoch: 23 [46976/49812]	Loss: 0.9194	LR: 0.020000
Training Epoch: 23 [47040/49812]	Loss: 0.5161	LR: 0.020000
Training Epoch: 23 [47104/49812]	Loss: 0.6823	LR: 0.020000
Training Epoch: 23 [47168/49812]	Loss: 0.6134	LR: 0.020000
Training Epoch: 23 [47232/49812]	Loss: 0.8690	LR: 0.020000
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Training Epoch: 23 [47424/49812]	Loss: 0.7581	LR: 0.020000
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Training Epoch: 23 [47616/49812]	Loss: 0.8681	LR: 0.020000
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Training Epoch: 23 [47744/49812]	Loss: 0.8180	LR: 0.020000
Training Epoch: 23 [47808/49812]	Loss: 0.6702	LR: 0.020000
Training Epoch: 23 [47872/49812]	Loss: 0.9344	LR: 0.020000
Training Epoch: 23 [47936/49812]	Loss: 0.8522	LR: 0.020000
Training Epoch: 23 [48000/49812]	Loss: 0.6812	LR: 0.020000
Training Epoch: 23 [48064/49812]	Loss: 0.8660	LR: 0.020000
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Training Epoch: 23 [48192/49812]	Loss: 1.2472	LR: 0.020000
Training Epoch: 23 [48256/49812]	Loss: 0.8318	LR: 0.020000
Training Epoch: 23 [48320/49812]	Loss: 0.8426	LR: 0.020000
Training Epoch: 23 [48384/49812]	Loss: 0.7397	LR: 0.020000
Training Epoch: 23 [48448/49812]	Loss: 0.7748	LR: 0.020000
Training Epoch: 23 [48512/49812]	Loss: 0.7060	LR: 0.020000
Training Epoch: 23 [48576/49812]	Loss: 0.9698	LR: 0.020000
Training Epoch: 23 [48640/49812]	Loss: 1.1502	LR: 0.020000
Training Epoch: 23 [48704/49812]	Loss: 0.8951	LR: 0.020000
Training Epoch: 23 [48768/49812]	Loss: 0.6834	LR: 0.020000
Training Epoch: 23 [48832/49812]	Loss: 0.7526	LR: 0.020000
Training Epoch: 23 [48896/49812]	Loss: 0.9657	LR: 0.020000
Training Epoch: 23 [48960/49812]	Loss: 0.9323	LR: 0.020000
Training Epoch: 23 [49024/49812]	Loss: 1.0666	LR: 0.020000
Training Epoch: 23 [49088/49812]	Loss: 0.9464	LR: 0.020000
Training Epoch: 23 [49152/49812]	Loss: 0.8871	LR: 0.020000
Training Epoch: 23 [49216/49812]	Loss: 0.7090	LR: 0.020000
Training Epoch: 23 [49280/49812]	Loss: 0.9377	LR: 0.020000
Training Epoch: 23 [49344/49812]	Loss: 0.8199	LR: 0.020000
Training Epoch: 23 [49408/49812]	Loss: 1.0083	LR: 0.020000
Training Epoch: 23 [49472/49812]	Loss: 0.9505	LR: 0.020000
Training Epoch: 23 [49536/49812]	Loss: 0.7000	LR: 0.020000
Training Epoch: 23 [49600/49812]	Loss: 1.0284	LR: 0.020000
Training Epoch: 23 [49664/49812]	Loss: 0.7577	LR: 0.020000
Training Epoch: 23 [49728/49812]	Loss: 0.7316	LR: 0.020000
Training Epoch: 23 [49792/49812]	Loss: 0.7758	LR: 0.020000
Training Epoch: 23 [49812/49812]	Loss: 1.1865	LR: 0.020000
Epoch 23 - Average Train Loss: 0.8374, Train Accuracy: 0.7313
Epoch 23 training time consumed: 262.07s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0145, Accuracy: 0.7140, Time consumed:16.81s
Training Epoch: 24 [64/49812]	Loss: 0.7580	LR: 0.020000
Training Epoch: 24 [128/49812]	Loss: 0.5526	LR: 0.020000
Training Epoch: 24 [192/49812]	Loss: 0.4933	LR: 0.020000
Training Epoch: 24 [256/49812]	Loss: 0.7432	LR: 0.020000
Training Epoch: 24 [320/49812]	Loss: 0.7519	LR: 0.020000
Training Epoch: 24 [384/49812]	Loss: 0.9857	LR: 0.020000
Training Epoch: 24 [448/49812]	Loss: 0.8635	LR: 0.020000
Training Epoch: 24 [512/49812]	Loss: 0.8239	LR: 0.020000
Training Epoch: 24 [576/49812]	Loss: 0.6105	LR: 0.020000
Training Epoch: 24 [640/49812]	Loss: 0.6718	LR: 0.020000
Training Epoch: 24 [704/49812]	Loss: 1.0025	LR: 0.020000
Training Epoch: 24 [768/49812]	Loss: 1.0799	LR: 0.020000
Training Epoch: 24 [832/49812]	Loss: 0.7644	LR: 0.020000
Training Epoch: 24 [896/49812]	Loss: 1.0930	LR: 0.020000
Training Epoch: 24 [960/49812]	Loss: 0.9856	LR: 0.020000
Training Epoch: 24 [1024/49812]	Loss: 0.5753	LR: 0.020000
Training Epoch: 24 [1088/49812]	Loss: 0.7185	LR: 0.020000
Training Epoch: 24 [1152/49812]	Loss: 0.9440	LR: 0.020000
Training Epoch: 24 [1216/49812]	Loss: 1.1317	LR: 0.020000
Training Epoch: 24 [1280/49812]	Loss: 0.7260	LR: 0.020000
Training Epoch: 24 [1344/49812]	Loss: 1.0098	LR: 0.020000
Training Epoch: 24 [1408/49812]	Loss: 0.7227	LR: 0.020000
Training Epoch: 24 [1472/49812]	Loss: 0.8314	LR: 0.020000
Training Epoch: 24 [1536/49812]	Loss: 0.9943	LR: 0.020000
Training Epoch: 24 [1600/49812]	Loss: 0.7742	LR: 0.020000
Training Epoch: 24 [1664/49812]	Loss: 0.9165	LR: 0.020000
Training Epoch: 24 [1728/49812]	Loss: 0.6574	LR: 0.020000
Training Epoch: 24 [1792/49812]	Loss: 0.8222	LR: 0.020000
Training Epoch: 24 [1856/49812]	Loss: 0.7755	LR: 0.020000
Training Epoch: 24 [1920/49812]	Loss: 0.7635	LR: 0.020000
Training Epoch: 24 [1984/49812]	Loss: 0.8671	LR: 0.020000
Training Epoch: 24 [2048/49812]	Loss: 0.9019	LR: 0.020000
Training Epoch: 24 [2112/49812]	Loss: 1.1037	LR: 0.020000
Training Epoch: 24 [2176/49812]	Loss: 0.6237	LR: 0.020000
Training Epoch: 24 [2240/49812]	Loss: 0.5927	LR: 0.020000
Training Epoch: 24 [2304/49812]	Loss: 0.8982	LR: 0.020000
Training Epoch: 24 [2368/49812]	Loss: 0.8066	LR: 0.020000
Training Epoch: 24 [2432/49812]	Loss: 0.6152	LR: 0.020000
Training Epoch: 24 [2496/49812]	Loss: 0.9099	LR: 0.020000
Training Epoch: 24 [2560/49812]	Loss: 0.9358	LR: 0.020000
Training Epoch: 24 [2624/49812]	Loss: 0.8118	LR: 0.020000
Training Epoch: 24 [2688/49812]	Loss: 0.7159	LR: 0.020000
Training Epoch: 24 [2752/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 24 [2816/49812]	Loss: 0.5993	LR: 0.020000
Training Epoch: 24 [2880/49812]	Loss: 0.6722	LR: 0.020000
Training Epoch: 24 [2944/49812]	Loss: 0.8364	LR: 0.020000
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Training Epoch: 24 [3136/49812]	Loss: 1.0048	LR: 0.020000
Training Epoch: 24 [3200/49812]	Loss: 0.9121	LR: 0.020000
Training Epoch: 24 [3264/49812]	Loss: 0.8719	LR: 0.020000
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Training Epoch: 24 [3392/49812]	Loss: 0.5419	LR: 0.020000
Training Epoch: 24 [3456/49812]	Loss: 0.6605	LR: 0.020000
Training Epoch: 24 [3520/49812]	Loss: 0.8978	LR: 0.020000
Training Epoch: 24 [3584/49812]	Loss: 0.8204	LR: 0.020000
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Training Epoch: 24 [3712/49812]	Loss: 0.4706	LR: 0.020000
Training Epoch: 24 [3776/49812]	Loss: 0.8436	LR: 0.020000
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Training Epoch: 24 [3904/49812]	Loss: 0.9096	LR: 0.020000
Training Epoch: 24 [3968/49812]	Loss: 0.8187	LR: 0.020000
Training Epoch: 24 [4032/49812]	Loss: 0.9288	LR: 0.020000
Training Epoch: 24 [4096/49812]	Loss: 0.8289	LR: 0.020000
Training Epoch: 24 [4160/49812]	Loss: 0.9240	LR: 0.020000
Training Epoch: 24 [4224/49812]	Loss: 0.6987	LR: 0.020000
Training Epoch: 24 [4288/49812]	Loss: 1.0972	LR: 0.020000
Training Epoch: 24 [4352/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 24 [4416/49812]	Loss: 0.6397	LR: 0.020000
Training Epoch: 24 [4480/49812]	Loss: 0.6318	LR: 0.020000
Training Epoch: 24 [4544/49812]	Loss: 0.9707	LR: 0.020000
Training Epoch: 24 [4608/49812]	Loss: 0.6136	LR: 0.020000
Training Epoch: 24 [4672/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 24 [4736/49812]	Loss: 0.5917	LR: 0.020000
Training Epoch: 24 [4800/49812]	Loss: 0.6225	LR: 0.020000
Training Epoch: 24 [4864/49812]	Loss: 0.8260	LR: 0.020000
Training Epoch: 24 [4928/49812]	Loss: 0.5805	LR: 0.020000
Training Epoch: 24 [4992/49812]	Loss: 0.6526	LR: 0.020000
Training Epoch: 24 [5056/49812]	Loss: 0.5840	LR: 0.020000
Training Epoch: 24 [5120/49812]	Loss: 0.8605	LR: 0.020000
Training Epoch: 24 [5184/49812]	Loss: 0.8503	LR: 0.020000
Training Epoch: 24 [5248/49812]	Loss: 1.1214	LR: 0.020000
Training Epoch: 24 [5312/49812]	Loss: 0.6400	LR: 0.020000
Training Epoch: 24 [5376/49812]	Loss: 0.7783	LR: 0.020000
Training Epoch: 24 [5440/49812]	Loss: 0.9403	LR: 0.020000
Training Epoch: 24 [5504/49812]	Loss: 0.6928	LR: 0.020000
Training Epoch: 24 [5568/49812]	Loss: 1.0260	LR: 0.020000
Training Epoch: 24 [5632/49812]	Loss: 0.8176	LR: 0.020000
Training Epoch: 24 [5696/49812]	Loss: 1.0076	LR: 0.020000
Training Epoch: 24 [5760/49812]	Loss: 0.7999	LR: 0.020000
Training Epoch: 24 [5824/49812]	Loss: 0.9074	LR: 0.020000
Training Epoch: 24 [5888/49812]	Loss: 0.5602	LR: 0.020000
Training Epoch: 24 [5952/49812]	Loss: 0.7414	LR: 0.020000
Training Epoch: 24 [6016/49812]	Loss: 0.5181	LR: 0.020000
Training Epoch: 24 [6080/49812]	Loss: 0.7259	LR: 0.020000
Training Epoch: 24 [6144/49812]	Loss: 0.7185	LR: 0.020000
Training Epoch: 24 [6208/49812]	Loss: 0.7592	LR: 0.020000
Training Epoch: 24 [6272/49812]	Loss: 0.9468	LR: 0.020000
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Training Epoch: 24 [6464/49812]	Loss: 0.7426	LR: 0.020000
Training Epoch: 24 [6528/49812]	Loss: 1.3385	LR: 0.020000
Training Epoch: 24 [6592/49812]	Loss: 0.7224	LR: 0.020000
Training Epoch: 24 [6656/49812]	Loss: 0.6591	LR: 0.020000
Training Epoch: 24 [6720/49812]	Loss: 0.8487	LR: 0.020000
Training Epoch: 24 [6784/49812]	Loss: 0.8229	LR: 0.020000
Training Epoch: 24 [6848/49812]	Loss: 0.8027	LR: 0.020000
Training Epoch: 24 [6912/49812]	Loss: 0.7873	LR: 0.020000
Training Epoch: 24 [6976/49812]	Loss: 0.6131	LR: 0.020000
Training Epoch: 24 [7040/49812]	Loss: 0.7565	LR: 0.020000
Training Epoch: 24 [7104/49812]	Loss: 1.0241	LR: 0.020000
Training Epoch: 24 [7168/49812]	Loss: 0.6569	LR: 0.020000
Training Epoch: 24 [7232/49812]	Loss: 0.9657	LR: 0.020000
Training Epoch: 24 [7296/49812]	Loss: 0.8096	LR: 0.020000
Training Epoch: 24 [7360/49812]	Loss: 0.6221	LR: 0.020000
Training Epoch: 24 [7424/49812]	Loss: 0.7599	LR: 0.020000
Training Epoch: 24 [7488/49812]	Loss: 0.7791	LR: 0.020000
Training Epoch: 24 [7552/49812]	Loss: 0.8039	LR: 0.020000
Training Epoch: 24 [7616/49812]	Loss: 0.8698	LR: 0.020000
Training Epoch: 24 [7680/49812]	Loss: 1.0581	LR: 0.020000
Training Epoch: 24 [7744/49812]	Loss: 0.5757	LR: 0.020000
Training Epoch: 24 [7808/49812]	Loss: 0.8642	LR: 0.020000
Training Epoch: 24 [7872/49812]	Loss: 1.0886	LR: 0.020000
Training Epoch: 24 [7936/49812]	Loss: 0.9030	LR: 0.020000
Training Epoch: 24 [8000/49812]	Loss: 0.4818	LR: 0.020000
Training Epoch: 24 [8064/49812]	Loss: 0.7533	LR: 0.020000
Training Epoch: 24 [8128/49812]	Loss: 0.9317	LR: 0.020000
Training Epoch: 24 [8192/49812]	Loss: 0.9628	LR: 0.020000
Training Epoch: 24 [8256/49812]	Loss: 0.7959	LR: 0.020000
Training Epoch: 24 [8320/49812]	Loss: 0.8364	LR: 0.020000
Training Epoch: 24 [8384/49812]	Loss: 0.7545	LR: 0.020000
Training Epoch: 24 [8448/49812]	Loss: 1.0150	LR: 0.020000
Training Epoch: 24 [8512/49812]	Loss: 1.0862	LR: 0.020000
Training Epoch: 24 [8576/49812]	Loss: 0.6229	LR: 0.020000
Training Epoch: 24 [8640/49812]	Loss: 0.7642	LR: 0.020000
Training Epoch: 24 [8704/49812]	Loss: 0.7880	LR: 0.020000
Training Epoch: 24 [8768/49812]	Loss: 0.6402	LR: 0.020000
Training Epoch: 24 [8832/49812]	Loss: 0.8889	LR: 0.020000
Training Epoch: 24 [8896/49812]	Loss: 0.7916	LR: 0.020000
Training Epoch: 24 [8960/49812]	Loss: 1.1182	LR: 0.020000
Training Epoch: 24 [9024/49812]	Loss: 0.9683	LR: 0.020000
Training Epoch: 24 [9088/49812]	Loss: 0.9425	LR: 0.020000
Training Epoch: 24 [9152/49812]	Loss: 0.6765	LR: 0.020000
Training Epoch: 24 [9216/49812]	Loss: 1.0627	LR: 0.020000
Training Epoch: 24 [9280/49812]	Loss: 0.6111	LR: 0.020000
Training Epoch: 24 [9344/49812]	Loss: 0.7941	LR: 0.020000
Training Epoch: 24 [9408/49812]	Loss: 0.7150	LR: 0.020000
Training Epoch: 24 [9472/49812]	Loss: 0.6815	LR: 0.020000
Training Epoch: 24 [9536/49812]	Loss: 0.9331	LR: 0.020000
Training Epoch: 24 [9600/49812]	Loss: 0.6930	LR: 0.020000
Training Epoch: 24 [9664/49812]	Loss: 0.8008	LR: 0.020000
Training Epoch: 24 [9728/49812]	Loss: 0.6667	LR: 0.020000
Training Epoch: 24 [9792/49812]	Loss: 1.0808	LR: 0.020000
Training Epoch: 24 [9856/49812]	Loss: 0.8037	LR: 0.020000
Training Epoch: 24 [9920/49812]	Loss: 0.4926	LR: 0.020000
Training Epoch: 24 [9984/49812]	Loss: 0.8207	LR: 0.020000
Training Epoch: 24 [10048/49812]	Loss: 0.8894	LR: 0.020000
Training Epoch: 24 [10112/49812]	Loss: 0.8768	LR: 0.020000
Training Epoch: 24 [10176/49812]	Loss: 0.8957	LR: 0.020000
Training Epoch: 24 [10240/49812]	Loss: 0.8755	LR: 0.020000
Training Epoch: 24 [10304/49812]	Loss: 0.7113	LR: 0.020000
Training Epoch: 24 [10368/49812]	Loss: 0.8155	LR: 0.020000
Training Epoch: 24 [10432/49812]	Loss: 0.9341	LR: 0.020000
Training Epoch: 24 [10496/49812]	Loss: 0.7185	LR: 0.020000
Training Epoch: 24 [10560/49812]	Loss: 0.7672	LR: 0.020000
Training Epoch: 24 [10624/49812]	Loss: 0.6929	LR: 0.020000
Training Epoch: 24 [10688/49812]	Loss: 0.7479	LR: 0.020000
Training Epoch: 24 [10752/49812]	Loss: 0.5843	LR: 0.020000
Training Epoch: 24 [10816/49812]	Loss: 0.7278	LR: 0.020000
Training Epoch: 24 [10880/49812]	Loss: 0.6879	LR: 0.020000
Training Epoch: 24 [10944/49812]	Loss: 0.7523	LR: 0.020000
Training Epoch: 24 [11008/49812]	Loss: 0.8004	LR: 0.020000
Training Epoch: 24 [11072/49812]	Loss: 0.8519	LR: 0.020000
Training Epoch: 24 [11136/49812]	Loss: 0.9310	LR: 0.020000
Training Epoch: 24 [11200/49812]	Loss: 0.8709	LR: 0.020000
Training Epoch: 24 [11264/49812]	Loss: 0.8282	LR: 0.020000
Training Epoch: 24 [11328/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 24 [11392/49812]	Loss: 0.5979	LR: 0.020000
Training Epoch: 24 [11456/49812]	Loss: 0.7052	LR: 0.020000
Training Epoch: 24 [11520/49812]	Loss: 0.8870	LR: 0.020000
Training Epoch: 24 [11584/49812]	Loss: 0.8564	LR: 0.020000
Training Epoch: 24 [11648/49812]	Loss: 0.6678	LR: 0.020000
Training Epoch: 24 [11712/49812]	Loss: 0.8393	LR: 0.020000
Training Epoch: 24 [11776/49812]	Loss: 0.8138	LR: 0.020000
Training Epoch: 24 [11840/49812]	Loss: 0.9448	LR: 0.020000
Training Epoch: 24 [11904/49812]	Loss: 0.7118	LR: 0.020000
Training Epoch: 24 [11968/49812]	Loss: 0.7695	LR: 0.020000
Training Epoch: 24 [12032/49812]	Loss: 0.7793	LR: 0.020000
Training Epoch: 24 [12096/49812]	Loss: 0.7563	LR: 0.020000
Training Epoch: 24 [12160/49812]	Loss: 0.9811	LR: 0.020000
Training Epoch: 24 [12224/49812]	Loss: 1.0431	LR: 0.020000
Training Epoch: 24 [12288/49812]	Loss: 0.7494	LR: 0.020000
Training Epoch: 24 [12352/49812]	Loss: 0.9883	LR: 0.020000
Training Epoch: 24 [12416/49812]	Loss: 0.9553	LR: 0.020000
Training Epoch: 24 [12480/49812]	Loss: 0.8555	LR: 0.020000
Training Epoch: 24 [12544/49812]	Loss: 0.8348	LR: 0.020000
Training Epoch: 24 [12608/49812]	Loss: 0.8770	LR: 0.020000
Training Epoch: 24 [12672/49812]	Loss: 0.8157	LR: 0.020000
Training Epoch: 24 [12736/49812]	Loss: 0.6733	LR: 0.020000
Training Epoch: 24 [12800/49812]	Loss: 0.9288	LR: 0.020000
Training Epoch: 24 [12864/49812]	Loss: 0.7015	LR: 0.020000
Training Epoch: 24 [12928/49812]	Loss: 1.0751	LR: 0.020000
Training Epoch: 24 [12992/49812]	Loss: 0.6276	LR: 0.020000
Training Epoch: 24 [13056/49812]	Loss: 0.6814	LR: 0.020000
Training Epoch: 24 [13120/49812]	Loss: 1.1966	LR: 0.020000
Training Epoch: 24 [13184/49812]	Loss: 1.1412	LR: 0.020000
Training Epoch: 24 [13248/49812]	Loss: 0.6507	LR: 0.020000
Training Epoch: 24 [13312/49812]	Loss: 0.7914	LR: 0.020000
Training Epoch: 24 [13376/49812]	Loss: 0.8403	LR: 0.020000
Training Epoch: 24 [13440/49812]	Loss: 0.7751	LR: 0.020000
Training Epoch: 24 [13504/49812]	Loss: 0.8044	LR: 0.020000
Training Epoch: 24 [13568/49812]	Loss: 0.9354	LR: 0.020000
Training Epoch: 24 [13632/49812]	Loss: 0.7327	LR: 0.020000
Training Epoch: 24 [13696/49812]	Loss: 1.1045	LR: 0.020000
Training Epoch: 24 [13760/49812]	Loss: 0.7922	LR: 0.020000
Training Epoch: 24 [13824/49812]	Loss: 0.9486	LR: 0.020000
Training Epoch: 24 [13888/49812]	Loss: 0.7821	LR: 0.020000
Training Epoch: 24 [13952/49812]	Loss: 0.8108	LR: 0.020000
Training Epoch: 24 [14016/49812]	Loss: 0.7675	LR: 0.020000
Training Epoch: 24 [14080/49812]	Loss: 0.9340	LR: 0.020000
Training Epoch: 24 [14144/49812]	Loss: 0.6191	LR: 0.020000
Training Epoch: 24 [14208/49812]	Loss: 0.7246	LR: 0.020000
Training Epoch: 24 [14272/49812]	Loss: 0.8522	LR: 0.020000
Training Epoch: 24 [14336/49812]	Loss: 0.9615	LR: 0.020000
Training Epoch: 24 [14400/49812]	Loss: 0.8110	LR: 0.020000
Training Epoch: 24 [14464/49812]	Loss: 0.7792	LR: 0.020000
Training Epoch: 24 [14528/49812]	Loss: 0.6554	LR: 0.020000
Training Epoch: 24 [14592/49812]	Loss: 0.7818	LR: 0.020000
Training Epoch: 24 [14656/49812]	Loss: 1.0269	LR: 0.020000
Training Epoch: 24 [14720/49812]	Loss: 0.8180	LR: 0.020000
Training Epoch: 24 [14784/49812]	Loss: 0.9026	LR: 0.020000
Training Epoch: 24 [14848/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 24 [14912/49812]	Loss: 0.8985	LR: 0.020000
Training Epoch: 24 [14976/49812]	Loss: 0.9311	LR: 0.020000
Training Epoch: 24 [15040/49812]	Loss: 0.8378	LR: 0.020000
Training Epoch: 24 [15104/49812]	Loss: 0.7379	LR: 0.020000
Training Epoch: 24 [15168/49812]	Loss: 0.8426	LR: 0.020000
Training Epoch: 24 [15232/49812]	Loss: 0.7076	LR: 0.020000
Training Epoch: 24 [15296/49812]	Loss: 0.8776	LR: 0.020000
Training Epoch: 24 [15360/49812]	Loss: 1.1321	LR: 0.020000
Training Epoch: 24 [15424/49812]	Loss: 0.6246	LR: 0.020000
Training Epoch: 24 [15488/49812]	Loss: 0.9991	LR: 0.020000
Training Epoch: 24 [15552/49812]	Loss: 0.7334	LR: 0.020000
Training Epoch: 24 [15616/49812]	Loss: 0.6640	LR: 0.020000
Training Epoch: 24 [15680/49812]	Loss: 0.6530	LR: 0.020000
Training Epoch: 24 [15744/49812]	Loss: 0.9063	LR: 0.020000
Training Epoch: 24 [15808/49812]	Loss: 0.9137	LR: 0.020000
Training Epoch: 24 [15872/49812]	Loss: 0.7184	LR: 0.020000
Training Epoch: 24 [15936/49812]	Loss: 0.6131	LR: 0.020000
Training Epoch: 24 [16000/49812]	Loss: 0.7568	LR: 0.020000
Training Epoch: 24 [16064/49812]	Loss: 0.7765	LR: 0.020000
Training Epoch: 24 [16128/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 24 [16192/49812]	Loss: 0.7414	LR: 0.020000
Training Epoch: 24 [16256/49812]	Loss: 0.7405	LR: 0.020000
Training Epoch: 24 [16320/49812]	Loss: 0.6795	LR: 0.020000
Training Epoch: 24 [16384/49812]	Loss: 1.0325	LR: 0.020000
Training Epoch: 24 [16448/49812]	Loss: 0.8624	LR: 0.020000
Training Epoch: 24 [16512/49812]	Loss: 0.9347	LR: 0.020000
Training Epoch: 24 [16576/49812]	Loss: 0.8320	LR: 0.020000
Training Epoch: 24 [16640/49812]	Loss: 0.7281	LR: 0.020000
Training Epoch: 24 [16704/49812]	Loss: 0.8423	LR: 0.020000
Training Epoch: 24 [16768/49812]	Loss: 0.5896	LR: 0.020000
Training Epoch: 24 [16832/49812]	Loss: 0.6828	LR: 0.020000
Training Epoch: 24 [16896/49812]	Loss: 0.8041	LR: 0.020000
Training Epoch: 24 [16960/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 24 [17024/49812]	Loss: 0.8724	LR: 0.020000
Training Epoch: 24 [17088/49812]	Loss: 0.9012	LR: 0.020000
Training Epoch: 24 [17152/49812]	Loss: 0.7362	LR: 0.020000
Training Epoch: 24 [17216/49812]	Loss: 0.8526	LR: 0.020000
Training Epoch: 24 [17280/49812]	Loss: 0.6384	LR: 0.020000
Training Epoch: 24 [17344/49812]	Loss: 0.7915	LR: 0.020000
Training Epoch: 24 [17408/49812]	Loss: 0.7691	LR: 0.020000
Training Epoch: 24 [17472/49812]	Loss: 0.9071	LR: 0.020000
Training Epoch: 24 [17536/49812]	Loss: 0.7894	LR: 0.020000
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Training Epoch: 24 [17728/49812]	Loss: 0.5796	LR: 0.020000
Training Epoch: 24 [17792/49812]	Loss: 0.6623	LR: 0.020000
Training Epoch: 24 [17856/49812]	Loss: 0.7650	LR: 0.020000
Training Epoch: 24 [17920/49812]	Loss: 0.7885	LR: 0.020000
Training Epoch: 24 [17984/49812]	Loss: 0.9475	LR: 0.020000
Training Epoch: 24 [18048/49812]	Loss: 0.7152	LR: 0.020000
Training Epoch: 24 [18112/49812]	Loss: 1.1663	LR: 0.020000
Training Epoch: 24 [18176/49812]	Loss: 0.6979	LR: 0.020000
Training Epoch: 24 [18240/49812]	Loss: 0.9776	LR: 0.020000
Training Epoch: 24 [18304/49812]	Loss: 0.5779	LR: 0.020000
Training Epoch: 24 [18368/49812]	Loss: 0.6290	LR: 0.020000
Training Epoch: 24 [18432/49812]	Loss: 0.7556	LR: 0.020000
Training Epoch: 24 [18496/49812]	Loss: 0.8981	LR: 0.020000
Training Epoch: 24 [18560/49812]	Loss: 0.5706	LR: 0.020000
Training Epoch: 24 [18624/49812]	Loss: 0.7647	LR: 0.020000
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Training Epoch: 24 [18752/49812]	Loss: 0.8193	LR: 0.020000
Training Epoch: 24 [18816/49812]	Loss: 0.7045	LR: 0.020000
Training Epoch: 24 [18880/49812]	Loss: 0.8471	LR: 0.020000
Training Epoch: 24 [18944/49812]	Loss: 0.8438	LR: 0.020000
Training Epoch: 24 [19008/49812]	Loss: 0.6784	LR: 0.020000
Training Epoch: 24 [19072/49812]	Loss: 0.6265	LR: 0.020000
Training Epoch: 24 [19136/49812]	Loss: 0.7293	LR: 0.020000
Training Epoch: 24 [19200/49812]	Loss: 1.1667	LR: 0.020000
Training Epoch: 24 [19264/49812]	Loss: 0.7431	LR: 0.020000
Training Epoch: 24 [19328/49812]	Loss: 0.7163	LR: 0.020000
Training Epoch: 24 [19392/49812]	Loss: 0.6381	LR: 0.020000
Training Epoch: 24 [19456/49812]	Loss: 0.8735	LR: 0.020000
Training Epoch: 24 [19520/49812]	Loss: 0.5507	LR: 0.020000
Training Epoch: 24 [19584/49812]	Loss: 0.6235	LR: 0.020000
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Training Epoch: 24 [19840/49812]	Loss: 0.9992	LR: 0.020000
Training Epoch: 24 [19904/49812]	Loss: 0.6945	LR: 0.020000
Training Epoch: 24 [19968/49812]	Loss: 0.8768	LR: 0.020000
Training Epoch: 24 [20032/49812]	Loss: 0.9890	LR: 0.020000
Training Epoch: 24 [20096/49812]	Loss: 0.9633	LR: 0.020000
Training Epoch: 24 [20160/49812]	Loss: 0.7637	LR: 0.020000
Training Epoch: 24 [20224/49812]	Loss: 0.8647	LR: 0.020000
Training Epoch: 24 [20288/49812]	Loss: 1.0602	LR: 0.020000
Training Epoch: 24 [20352/49812]	Loss: 0.9152	LR: 0.020000
Training Epoch: 24 [20416/49812]	Loss: 0.9643	LR: 0.020000
Training Epoch: 24 [20480/49812]	Loss: 0.8404	LR: 0.020000
Training Epoch: 24 [20544/49812]	Loss: 0.6742	LR: 0.020000
Training Epoch: 24 [20608/49812]	Loss: 0.5892	LR: 0.020000
Training Epoch: 24 [20672/49812]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [20736/49812]	Loss: 1.1359	LR: 0.020000
Training Epoch: 24 [20800/49812]	Loss: 0.4895	LR: 0.020000
Training Epoch: 24 [20864/49812]	Loss: 0.8297	LR: 0.020000
Training Epoch: 24 [20928/49812]	Loss: 0.7107	LR: 0.020000
Training Epoch: 24 [20992/49812]	Loss: 0.6544	LR: 0.020000
Training Epoch: 24 [21056/49812]	Loss: 0.7261	LR: 0.020000
Training Epoch: 24 [21120/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 24 [21184/49812]	Loss: 0.8348	LR: 0.020000
Training Epoch: 24 [21248/49812]	Loss: 0.6732	LR: 0.020000
Training Epoch: 24 [21312/49812]	Loss: 0.7389	LR: 0.020000
Training Epoch: 24 [21376/49812]	Loss: 0.9014	LR: 0.020000
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Training Epoch: 24 [21504/49812]	Loss: 0.6950	LR: 0.020000
Training Epoch: 24 [21568/49812]	Loss: 0.5778	LR: 0.020000
Training Epoch: 24 [21632/49812]	Loss: 0.7487	LR: 0.020000
Training Epoch: 24 [21696/49812]	Loss: 1.0197	LR: 0.020000
Training Epoch: 24 [21760/49812]	Loss: 0.8589	LR: 0.020000
Training Epoch: 24 [21824/49812]	Loss: 0.9976	LR: 0.020000
Training Epoch: 24 [21888/49812]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [21952/49812]	Loss: 0.7909	LR: 0.020000
Training Epoch: 24 [22016/49812]	Loss: 0.7413	LR: 0.020000
Training Epoch: 24 [22080/49812]	Loss: 0.7958	LR: 0.020000
Training Epoch: 24 [22144/49812]	Loss: 0.8710	LR: 0.020000
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Training Epoch: 24 [22272/49812]	Loss: 0.8036	LR: 0.020000
Training Epoch: 24 [22336/49812]	Loss: 0.9371	LR: 0.020000
Training Epoch: 24 [22400/49812]	Loss: 1.0063	LR: 0.020000
Training Epoch: 24 [22464/49812]	Loss: 0.8699	LR: 0.020000
Training Epoch: 24 [22528/49812]	Loss: 1.2302	LR: 0.020000
Training Epoch: 24 [22592/49812]	Loss: 0.8001	LR: 0.020000
Training Epoch: 24 [22656/49812]	Loss: 0.9573	LR: 0.020000
Training Epoch: 24 [22720/49812]	Loss: 0.8955	LR: 0.020000
Training Epoch: 24 [22784/49812]	Loss: 0.8233	LR: 0.020000
Training Epoch: 24 [22848/49812]	Loss: 0.8944	LR: 0.020000
Training Epoch: 24 [22912/49812]	Loss: 0.7143	LR: 0.020000
Training Epoch: 24 [22976/49812]	Loss: 0.6785	LR: 0.020000
Training Epoch: 24 [23040/49812]	Loss: 1.0851	LR: 0.020000
Training Epoch: 24 [23104/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 24 [23168/49812]	Loss: 1.1258	LR: 0.020000
Training Epoch: 24 [23232/49812]	Loss: 1.0347	LR: 0.020000
Training Epoch: 24 [23296/49812]	Loss: 0.9271	LR: 0.020000
Training Epoch: 24 [23360/49812]	Loss: 0.8539	LR: 0.020000
Training Epoch: 24 [23424/49812]	Loss: 1.0794	LR: 0.020000
Training Epoch: 24 [23488/49812]	Loss: 0.9255	LR: 0.020000
Training Epoch: 24 [23552/49812]	Loss: 0.7526	LR: 0.020000
Training Epoch: 24 [23616/49812]	Loss: 0.9999	LR: 0.020000
Training Epoch: 24 [23680/49812]	Loss: 0.8575	LR: 0.020000
Training Epoch: 24 [23744/49812]	Loss: 0.7244	LR: 0.020000
Training Epoch: 24 [23808/49812]	Loss: 0.9713	LR: 0.020000
Training Epoch: 24 [23872/49812]	Loss: 0.8275	LR: 0.020000
Training Epoch: 24 [23936/49812]	Loss: 0.9856	LR: 0.020000
Training Epoch: 24 [24000/49812]	Loss: 0.6419	LR: 0.020000
Training Epoch: 24 [24064/49812]	Loss: 0.8251	LR: 0.020000
Training Epoch: 24 [24128/49812]	Loss: 0.8921	LR: 0.020000
Training Epoch: 24 [24192/49812]	Loss: 0.9520	LR: 0.020000
Training Epoch: 24 [24256/49812]	Loss: 0.6653	LR: 0.020000
Training Epoch: 24 [24320/49812]	Loss: 0.6354	LR: 0.020000
Training Epoch: 24 [24384/49812]	Loss: 0.8758	LR: 0.020000
Training Epoch: 24 [24448/49812]	Loss: 0.7596	LR: 0.020000
Training Epoch: 24 [24512/49812]	Loss: 0.9659	LR: 0.020000
Training Epoch: 24 [24576/49812]	Loss: 0.6608	LR: 0.020000
Training Epoch: 24 [24640/49812]	Loss: 0.9723	LR: 0.020000
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Training Epoch: 24 [24768/49812]	Loss: 1.0028	LR: 0.020000
Training Epoch: 24 [24832/49812]	Loss: 0.6866	LR: 0.020000
Training Epoch: 24 [24896/49812]	Loss: 0.8278	LR: 0.020000
Training Epoch: 24 [24960/49812]	Loss: 0.8781	LR: 0.020000
Training Epoch: 24 [25024/49812]	Loss: 0.7731	LR: 0.020000
Training Epoch: 24 [25088/49812]	Loss: 0.8930	LR: 0.020000
Training Epoch: 24 [25152/49812]	Loss: 0.6942	LR: 0.020000
Training Epoch: 24 [25216/49812]	Loss: 0.7766	LR: 0.020000
Training Epoch: 24 [25280/49812]	Loss: 0.7300	LR: 0.020000
Training Epoch: 24 [25344/49812]	Loss: 1.2280	LR: 0.020000
Training Epoch: 24 [25408/49812]	Loss: 0.8050	LR: 0.020000
Training Epoch: 24 [25472/49812]	Loss: 1.0252	LR: 0.020000
Training Epoch: 24 [25536/49812]	Loss: 0.9067	LR: 0.020000
Training Epoch: 24 [25600/49812]	Loss: 0.8069	LR: 0.020000
Training Epoch: 24 [25664/49812]	Loss: 1.0514	LR: 0.020000
Training Epoch: 24 [25728/49812]	Loss: 0.9005	LR: 0.020000
Training Epoch: 24 [25792/49812]	Loss: 0.7099	LR: 0.020000
Training Epoch: 24 [25856/49812]	Loss: 0.6980	LR: 0.020000
Training Epoch: 24 [25920/49812]	Loss: 0.7901	LR: 0.020000
Training Epoch: 24 [25984/49812]	Loss: 0.7957	LR: 0.020000
Training Epoch: 24 [26048/49812]	Loss: 0.9186	LR: 0.020000
Training Epoch: 24 [26112/49812]	Loss: 0.5979	LR: 0.020000
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Training Epoch: 24 [26240/49812]	Loss: 1.1097	LR: 0.020000
Training Epoch: 24 [26304/49812]	Loss: 0.7041	LR: 0.020000
Training Epoch: 24 [26368/49812]	Loss: 0.8283	LR: 0.020000
Training Epoch: 24 [26432/49812]	Loss: 1.0821	LR: 0.020000
Training Epoch: 24 [26496/49812]	Loss: 0.9242	LR: 0.020000
Training Epoch: 24 [26560/49812]	Loss: 0.6721	LR: 0.020000
Training Epoch: 24 [26624/49812]	Loss: 0.9329	LR: 0.020000
Training Epoch: 24 [26688/49812]	Loss: 0.9701	LR: 0.020000
Training Epoch: 24 [26752/49812]	Loss: 1.0894	LR: 0.020000
Training Epoch: 24 [26816/49812]	Loss: 0.6739	LR: 0.020000
Training Epoch: 24 [26880/49812]	Loss: 0.8087	LR: 0.020000
Training Epoch: 24 [26944/49812]	Loss: 0.9736	LR: 0.020000
Training Epoch: 24 [27008/49812]	Loss: 0.8868	LR: 0.020000
Training Epoch: 24 [27072/49812]	Loss: 0.6997	LR: 0.020000
Training Epoch: 24 [27136/49812]	Loss: 0.7565	LR: 0.020000
Training Epoch: 24 [27200/49812]	Loss: 0.9118	LR: 0.020000
Training Epoch: 24 [27264/49812]	Loss: 0.7170	LR: 0.020000
Training Epoch: 24 [27328/49812]	Loss: 0.8318	LR: 0.020000
Training Epoch: 24 [27392/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 24 [27456/49812]	Loss: 0.8759	LR: 0.020000
Training Epoch: 24 [27520/49812]	Loss: 0.9467	LR: 0.020000
Training Epoch: 24 [27584/49812]	Loss: 0.7400	LR: 0.020000
Training Epoch: 24 [27648/49812]	Loss: 0.6905	LR: 0.020000
Training Epoch: 24 [27712/49812]	Loss: 0.8175	LR: 0.020000
Training Epoch: 24 [27776/49812]	Loss: 0.6867	LR: 0.020000
Training Epoch: 24 [27840/49812]	Loss: 0.7933	LR: 0.020000
Training Epoch: 24 [27904/49812]	Loss: 0.7953	LR: 0.020000
Training Epoch: 24 [27968/49812]	Loss: 0.8638	LR: 0.020000
Training Epoch: 24 [28032/49812]	Loss: 0.8377	LR: 0.020000
Training Epoch: 24 [28096/49812]	Loss: 0.7312	LR: 0.020000
Training Epoch: 24 [28160/49812]	Loss: 0.7079	LR: 0.020000
Training Epoch: 24 [28224/49812]	Loss: 1.0171	LR: 0.020000
Training Epoch: 24 [28288/49812]	Loss: 0.7983	LR: 0.020000
Training Epoch: 24 [28352/49812]	Loss: 0.8042	LR: 0.020000
Training Epoch: 24 [28416/49812]	Loss: 0.8657	LR: 0.020000
Training Epoch: 24 [28480/49812]	Loss: 0.5362	LR: 0.020000
Training Epoch: 24 [28544/49812]	Loss: 0.9152	LR: 0.020000
Training Epoch: 24 [28608/49812]	Loss: 0.7531	LR: 0.020000
Training Epoch: 24 [28672/49812]	Loss: 0.8294	LR: 0.020000
Training Epoch: 24 [28736/49812]	Loss: 0.9156	LR: 0.020000
Training Epoch: 24 [28800/49812]	Loss: 0.8856	LR: 0.020000
Training Epoch: 24 [28864/49812]	Loss: 0.7490	LR: 0.020000
Training Epoch: 24 [28928/49812]	Loss: 0.9084	LR: 0.020000
Training Epoch: 24 [28992/49812]	Loss: 0.9261	LR: 0.020000
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Training Epoch: 24 [29120/49812]	Loss: 0.6352	LR: 0.020000
Training Epoch: 24 [29184/49812]	Loss: 1.1078	LR: 0.020000
Training Epoch: 24 [29248/49812]	Loss: 0.8031	LR: 0.020000
Training Epoch: 24 [29312/49812]	Loss: 0.7404	LR: 0.020000
Training Epoch: 24 [29376/49812]	Loss: 0.9131	LR: 0.020000
Training Epoch: 24 [29440/49812]	Loss: 0.4795	LR: 0.020000
Training Epoch: 24 [29504/49812]	Loss: 0.7872	LR: 0.020000
Training Epoch: 24 [29568/49812]	Loss: 1.2315	LR: 0.020000
Training Epoch: 24 [29632/49812]	Loss: 0.8475	LR: 0.020000
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Training Epoch: 24 [29760/49812]	Loss: 0.7577	LR: 0.020000
Training Epoch: 24 [29824/49812]	Loss: 0.8481	LR: 0.020000
Training Epoch: 24 [29888/49812]	Loss: 0.7582	LR: 0.020000
Training Epoch: 24 [29952/49812]	Loss: 0.8564	LR: 0.020000
Training Epoch: 24 [30016/49812]	Loss: 1.0239	LR: 0.020000
Training Epoch: 24 [30080/49812]	Loss: 0.9303	LR: 0.020000
Training Epoch: 24 [30144/49812]	Loss: 0.7909	LR: 0.020000
Training Epoch: 24 [30208/49812]	Loss: 0.7134	LR: 0.020000
Training Epoch: 24 [30272/49812]	Loss: 1.2308	LR: 0.020000
Training Epoch: 24 [30336/49812]	Loss: 1.0970	LR: 0.020000
Training Epoch: 24 [30400/49812]	Loss: 0.7727	LR: 0.020000
Training Epoch: 24 [30464/49812]	Loss: 0.9668	LR: 0.020000
Training Epoch: 24 [30528/49812]	Loss: 0.6804	LR: 0.020000
Training Epoch: 24 [30592/49812]	Loss: 0.9269	LR: 0.020000
Training Epoch: 24 [30656/49812]	Loss: 0.6803	LR: 0.020000
Training Epoch: 24 [30720/49812]	Loss: 0.5866	LR: 0.020000
Training Epoch: 24 [30784/49812]	Loss: 1.0396	LR: 0.020000
Training Epoch: 24 [30848/49812]	Loss: 0.7575	LR: 0.020000
Training Epoch: 24 [30912/49812]	Loss: 0.7373	LR: 0.020000
Training Epoch: 24 [30976/49812]	Loss: 0.6130	LR: 0.020000
Training Epoch: 24 [31040/49812]	Loss: 0.7570	LR: 0.020000
Training Epoch: 24 [31104/49812]	Loss: 0.9872	LR: 0.020000
Training Epoch: 24 [31168/49812]	Loss: 0.9241	LR: 0.020000
Training Epoch: 24 [31232/49812]	Loss: 0.8103	LR: 0.020000
Training Epoch: 24 [31296/49812]	Loss: 0.6594	LR: 0.020000
Training Epoch: 24 [31360/49812]	Loss: 0.7637	LR: 0.020000
Training Epoch: 24 [31424/49812]	Loss: 0.5418	LR: 0.020000
Training Epoch: 24 [31488/49812]	Loss: 1.0219	LR: 0.020000
Training Epoch: 24 [31552/49812]	Loss: 0.7686	LR: 0.020000
Training Epoch: 24 [31616/49812]	Loss: 0.6760	LR: 0.020000
Training Epoch: 24 [31680/49812]	Loss: 1.3087	LR: 0.020000
Training Epoch: 24 [31744/49812]	Loss: 0.8837	LR: 0.020000
Training Epoch: 24 [31808/49812]	Loss: 0.8607	LR: 0.020000
Training Epoch: 24 [31872/49812]	Loss: 0.9441	LR: 0.020000
Training Epoch: 24 [31936/49812]	Loss: 0.6742	LR: 0.020000
Training Epoch: 24 [32000/49812]	Loss: 0.7493	LR: 0.020000
Training Epoch: 24 [32064/49812]	Loss: 1.1802	LR: 0.020000
Training Epoch: 24 [32128/49812]	Loss: 0.9320	LR: 0.020000
Training Epoch: 24 [32192/49812]	Loss: 0.9116	LR: 0.020000
Training Epoch: 24 [32256/49812]	Loss: 1.1463	LR: 0.020000
Training Epoch: 24 [32320/49812]	Loss: 0.9874	LR: 0.020000
Training Epoch: 24 [32384/49812]	Loss: 0.7920	LR: 0.020000
Training Epoch: 24 [32448/49812]	Loss: 0.7540	LR: 0.020000
Training Epoch: 24 [32512/49812]	Loss: 0.8528	LR: 0.020000
Training Epoch: 24 [32576/49812]	Loss: 0.9560	LR: 0.020000
Training Epoch: 24 [32640/49812]	Loss: 0.6831	LR: 0.020000
Training Epoch: 24 [32704/49812]	Loss: 0.7642	LR: 0.020000
Training Epoch: 24 [32768/49812]	Loss: 0.8061	LR: 0.020000
Training Epoch: 24 [32832/49812]	Loss: 1.0282	LR: 0.020000
Training Epoch: 24 [32896/49812]	Loss: 0.9447	LR: 0.020000
Training Epoch: 24 [32960/49812]	Loss: 0.6963	LR: 0.020000
Training Epoch: 24 [33024/49812]	Loss: 0.9746	LR: 0.020000
Training Epoch: 24 [33088/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 24 [33152/49812]	Loss: 0.9021	LR: 0.020000
Training Epoch: 24 [33216/49812]	Loss: 0.5829	LR: 0.020000
Training Epoch: 24 [33280/49812]	Loss: 0.8425	LR: 0.020000
Training Epoch: 24 [33344/49812]	Loss: 0.6917	LR: 0.020000
Training Epoch: 24 [33408/49812]	Loss: 0.8495	LR: 0.020000
Training Epoch: 24 [33472/49812]	Loss: 0.7818	LR: 0.020000
Training Epoch: 24 [33536/49812]	Loss: 0.7741	LR: 0.020000
Training Epoch: 24 [33600/49812]	Loss: 0.7651	LR: 0.020000
Training Epoch: 24 [33664/49812]	Loss: 0.7355	LR: 0.020000
Training Epoch: 24 [33728/49812]	Loss: 0.8095	LR: 0.020000
Training Epoch: 24 [33792/49812]	Loss: 0.9465	LR: 0.020000
Training Epoch: 24 [33856/49812]	Loss: 0.9148	LR: 0.020000
Training Epoch: 24 [33920/49812]	Loss: 1.1919	LR: 0.020000
Training Epoch: 24 [33984/49812]	Loss: 0.6824	LR: 0.020000
Training Epoch: 24 [34048/49812]	Loss: 0.6882	LR: 0.020000
Training Epoch: 24 [34112/49812]	Loss: 0.8617	LR: 0.020000
Training Epoch: 24 [34176/49812]	Loss: 0.7771	LR: 0.020000
Training Epoch: 24 [34240/49812]	Loss: 0.7103	LR: 0.020000
Training Epoch: 24 [34304/49812]	Loss: 0.9182	LR: 0.020000
Training Epoch: 24 [34368/49812]	Loss: 0.9215	LR: 0.020000
Training Epoch: 24 [34432/49812]	Loss: 0.7401	LR: 0.020000
Training Epoch: 24 [34496/49812]	Loss: 1.0377	LR: 0.020000
Training Epoch: 24 [34560/49812]	Loss: 0.6964	LR: 0.020000
Training Epoch: 24 [34624/49812]	Loss: 1.1980	LR: 0.020000
Training Epoch: 24 [34688/49812]	Loss: 0.6013	LR: 0.020000
Training Epoch: 24 [34752/49812]	Loss: 0.8155	LR: 0.020000
Training Epoch: 24 [34816/49812]	Loss: 0.9660	LR: 0.020000
Training Epoch: 24 [34880/49812]	Loss: 0.8602	LR: 0.020000
Training Epoch: 24 [34944/49812]	Loss: 0.5340	LR: 0.020000
Training Epoch: 24 [35008/49812]	Loss: 1.1401	LR: 0.020000
Training Epoch: 24 [35072/49812]	Loss: 0.9131	LR: 0.020000
Training Epoch: 24 [35136/49812]	Loss: 0.7419	LR: 0.020000
Training Epoch: 24 [35200/49812]	Loss: 0.6990	LR: 0.020000
Training Epoch: 24 [35264/49812]	Loss: 0.9079	LR: 0.020000
Training Epoch: 24 [35328/49812]	Loss: 0.7840	LR: 0.020000
Training Epoch: 24 [35392/49812]	Loss: 0.6947	LR: 0.020000
Training Epoch: 24 [35456/49812]	Loss: 0.7632	LR: 0.020000
Training Epoch: 24 [35520/49812]	Loss: 0.8778	LR: 0.020000
Training Epoch: 24 [35584/49812]	Loss: 1.1452	LR: 0.020000
Training Epoch: 24 [35648/49812]	Loss: 0.7148	LR: 0.020000
Training Epoch: 24 [35712/49812]	Loss: 0.8909	LR: 0.020000
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Training Epoch: 24 [35840/49812]	Loss: 0.7546	LR: 0.020000
Training Epoch: 24 [35904/49812]	Loss: 0.9156	LR: 0.020000
Training Epoch: 24 [35968/49812]	Loss: 1.0920	LR: 0.020000
Training Epoch: 24 [36032/49812]	Loss: 0.9948	LR: 0.020000
Training Epoch: 24 [36096/49812]	Loss: 0.8180	LR: 0.020000
Training Epoch: 24 [36160/49812]	Loss: 1.1220	LR: 0.020000
Training Epoch: 24 [36224/49812]	Loss: 0.6558	LR: 0.020000
Training Epoch: 24 [36288/49812]	Loss: 0.7781	LR: 0.020000
Training Epoch: 24 [36352/49812]	Loss: 1.1367	LR: 0.020000
Training Epoch: 24 [36416/49812]	Loss: 1.0597	LR: 0.020000
Training Epoch: 24 [36480/49812]	Loss: 0.9376	LR: 0.020000
Training Epoch: 24 [36544/49812]	Loss: 0.9081	LR: 0.020000
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Training Epoch: 24 [36672/49812]	Loss: 1.1050	LR: 0.020000
Training Epoch: 24 [36736/49812]	Loss: 0.8031	LR: 0.020000
Training Epoch: 24 [36800/49812]	Loss: 0.9121	LR: 0.020000
Training Epoch: 24 [36864/49812]	Loss: 0.8722	LR: 0.020000
Training Epoch: 24 [36928/49812]	Loss: 1.0886	LR: 0.020000
Training Epoch: 24 [36992/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 24 [37056/49812]	Loss: 0.9364	LR: 0.020000
Training Epoch: 24 [37120/49812]	Loss: 0.8093	LR: 0.020000
Training Epoch: 24 [37184/49812]	Loss: 0.8766	LR: 0.020000
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Training Epoch: 24 [37440/49812]	Loss: 1.0972	LR: 0.020000
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Training Epoch: 24 [37568/49812]	Loss: 1.1568	LR: 0.020000
Training Epoch: 24 [37632/49812]	Loss: 0.9326	LR: 0.020000
Training Epoch: 24 [37696/49812]	Loss: 0.8760	LR: 0.020000
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Training Epoch: 24 [37824/49812]	Loss: 0.9433	LR: 0.020000
Training Epoch: 24 [37888/49812]	Loss: 0.8785	LR: 0.020000
Training Epoch: 24 [37952/49812]	Loss: 0.9090	LR: 0.020000
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Training Epoch: 24 [38144/49812]	Loss: 1.1127	LR: 0.020000
Training Epoch: 24 [38208/49812]	Loss: 0.8915	LR: 0.020000
Training Epoch: 24 [38272/49812]	Loss: 0.6640	LR: 0.020000
Training Epoch: 24 [38336/49812]	Loss: 0.8131	LR: 0.020000
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Training Epoch: 24 [38528/49812]	Loss: 1.1481	LR: 0.020000
Training Epoch: 24 [38592/49812]	Loss: 0.9423	LR: 0.020000
Training Epoch: 24 [38656/49812]	Loss: 0.8989	LR: 0.020000
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Training Epoch: 24 [39104/49812]	Loss: 0.7034	LR: 0.020000
Training Epoch: 24 [39168/49812]	Loss: 0.8801	LR: 0.020000
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Training Epoch: 24 [39360/49812]	Loss: 0.7952	LR: 0.020000
Training Epoch: 24 [39424/49812]	Loss: 0.8344	LR: 0.020000
Training Epoch: 24 [39488/49812]	Loss: 0.7158	LR: 0.020000
Training Epoch: 24 [39552/49812]	Loss: 0.8088	LR: 0.020000
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Training Epoch: 24 [39808/49812]	Loss: 0.8437	LR: 0.020000
Training Epoch: 24 [39872/49812]	Loss: 0.8817	LR: 0.020000
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Training Epoch: 24 [41472/49812]	Loss: 0.9221	LR: 0.020000
Training Epoch: 24 [41536/49812]	Loss: 1.0023	LR: 0.020000
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Training Epoch: 24 [41728/49812]	Loss: 0.7250	LR: 0.020000
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Training Epoch: 24 [41856/49812]	Loss: 0.9100	LR: 0.020000
Training Epoch: 24 [41920/49812]	Loss: 0.9773	LR: 0.020000
Training Epoch: 24 [41984/49812]	Loss: 0.9508	LR: 0.020000
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Training Epoch: 24 [42112/49812]	Loss: 0.8642	LR: 0.020000
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Training Epoch: 24 [42368/49812]	Loss: 0.7628	LR: 0.020000
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Training Epoch: 24 [42496/49812]	Loss: 0.8109	LR: 0.020000
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Training Epoch: 24 [42624/49812]	Loss: 0.9530	LR: 0.020000
Training Epoch: 24 [42688/49812]	Loss: 0.8416	LR: 0.020000
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Training Epoch: 24 [42816/49812]	Loss: 0.5231	LR: 0.020000
Training Epoch: 24 [42880/49812]	Loss: 0.8720	LR: 0.020000
Training Epoch: 24 [42944/49812]	Loss: 0.8909	LR: 0.020000
Training Epoch: 24 [43008/49812]	Loss: 1.1284	LR: 0.020000
Training Epoch: 24 [43072/49812]	Loss: 0.7036	LR: 0.020000
Training Epoch: 24 [43136/49812]	Loss: 0.9125	LR: 0.020000
Training Epoch: 24 [43200/49812]	Loss: 0.9200	LR: 0.020000
Training Epoch: 24 [43264/49812]	Loss: 0.8263	LR: 0.020000
Training Epoch: 24 [43328/49812]	Loss: 0.7955	LR: 0.020000
Training Epoch: 24 [43392/49812]	Loss: 0.8245	LR: 0.020000
Training Epoch: 24 [43456/49812]	Loss: 0.9029	LR: 0.020000
Training Epoch: 24 [43520/49812]	Loss: 1.0321	LR: 0.020000
Training Epoch: 24 [43584/49812]	Loss: 0.7629	LR: 0.020000
Training Epoch: 24 [43648/49812]	Loss: 1.1220	LR: 0.020000
Training Epoch: 24 [43712/49812]	Loss: 0.8899	LR: 0.020000
Training Epoch: 24 [43776/49812]	Loss: 0.7335	LR: 0.020000
Training Epoch: 24 [43840/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 24 [43904/49812]	Loss: 0.7411	LR: 0.020000
Training Epoch: 24 [43968/49812]	Loss: 0.9258	LR: 0.020000
Training Epoch: 24 [44032/49812]	Loss: 0.9249	LR: 0.020000
Training Epoch: 24 [44096/49812]	Loss: 0.8549	LR: 0.020000
Training Epoch: 24 [44160/49812]	Loss: 1.1751	LR: 0.020000
Training Epoch: 24 [44224/49812]	Loss: 0.7142	LR: 0.020000
Training Epoch: 24 [44288/49812]	Loss: 0.7477	LR: 0.020000
Training Epoch: 24 [44352/49812]	Loss: 0.7109	LR: 0.020000
Training Epoch: 24 [44416/49812]	Loss: 0.8566	LR: 0.020000
Training Epoch: 24 [44480/49812]	Loss: 0.9665	LR: 0.020000
Training Epoch: 24 [44544/49812]	Loss: 0.8121	LR: 0.020000
Training Epoch: 24 [44608/49812]	Loss: 1.1985	LR: 0.020000
Training Epoch: 24 [44672/49812]	Loss: 0.7731	LR: 0.020000
Training Epoch: 24 [44736/49812]	Loss: 0.7388	LR: 0.020000
Training Epoch: 24 [44800/49812]	Loss: 0.5837	LR: 0.020000
Training Epoch: 24 [44864/49812]	Loss: 0.8780	LR: 0.020000
Training Epoch: 24 [44928/49812]	Loss: 0.9803	LR: 0.020000
Training Epoch: 24 [44992/49812]	Loss: 0.9263	LR: 0.020000
Training Epoch: 24 [45056/49812]	Loss: 0.9440	LR: 0.020000
Training Epoch: 24 [45120/49812]	Loss: 0.9813	LR: 0.020000
Training Epoch: 24 [45184/49812]	Loss: 1.0100	LR: 0.020000
Training Epoch: 24 [45248/49812]	Loss: 0.8452	LR: 0.020000
Training Epoch: 24 [45312/49812]	Loss: 0.9803	LR: 0.020000
Training Epoch: 24 [45376/49812]	Loss: 0.6437	LR: 0.020000
Training Epoch: 24 [45440/49812]	Loss: 1.0681	LR: 0.020000
Training Epoch: 24 [45504/49812]	Loss: 0.9398	LR: 0.020000
Training Epoch: 24 [45568/49812]	Loss: 0.6579	LR: 0.020000
Training Epoch: 24 [45632/49812]	Loss: 0.6469	LR: 0.020000
Training Epoch: 24 [45696/49812]	Loss: 0.6275	LR: 0.020000
Training Epoch: 24 [45760/49812]	Loss: 0.9402	LR: 0.020000
Training Epoch: 24 [45824/49812]	Loss: 1.0482	LR: 0.020000
Training Epoch: 24 [45888/49812]	Loss: 0.7044	LR: 0.020000
Training Epoch: 24 [45952/49812]	Loss: 0.8153	LR: 0.020000
Training Epoch: 24 [46016/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 24 [46080/49812]	Loss: 0.8376	LR: 0.020000
Training Epoch: 24 [46144/49812]	Loss: 0.7716	LR: 0.020000
Training Epoch: 24 [46208/49812]	Loss: 0.8044	LR: 0.020000
Training Epoch: 24 [46272/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 24 [46336/49812]	Loss: 0.8041	LR: 0.020000
Training Epoch: 24 [46400/49812]	Loss: 0.9714	LR: 0.020000
Training Epoch: 24 [46464/49812]	Loss: 1.0422	LR: 0.020000
Training Epoch: 24 [46528/49812]	Loss: 0.9503	LR: 0.020000
Training Epoch: 24 [46592/49812]	Loss: 0.7249	LR: 0.020000
Training Epoch: 24 [46656/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 24 [46720/49812]	Loss: 0.8034	LR: 0.020000
Training Epoch: 24 [46784/49812]	Loss: 0.8624	LR: 0.020000
Training Epoch: 24 [46848/49812]	Loss: 0.8364	LR: 0.020000
Training Epoch: 24 [46912/49812]	Loss: 0.7316	LR: 0.020000
Training Epoch: 24 [46976/49812]	Loss: 0.7745	LR: 0.020000
Training Epoch: 24 [47040/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 24 [47104/49812]	Loss: 0.9667	LR: 0.020000
Training Epoch: 24 [47168/49812]	Loss: 0.8863	LR: 0.020000
Training Epoch: 24 [47232/49812]	Loss: 0.9985	LR: 0.020000
Training Epoch: 24 [47296/49812]	Loss: 1.0973	LR: 0.020000
Training Epoch: 24 [47360/49812]	Loss: 0.8058	LR: 0.020000
Training Epoch: 24 [47424/49812]	Loss: 0.6771	LR: 0.020000
Training Epoch: 24 [47488/49812]	Loss: 0.8957	LR: 0.020000
Training Epoch: 24 [47552/49812]	Loss: 1.1532	LR: 0.020000
Training Epoch: 24 [47616/49812]	Loss: 0.7966	LR: 0.020000
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Training Epoch: 24 [47744/49812]	Loss: 0.7567	LR: 0.020000
Training Epoch: 24 [47808/49812]	Loss: 0.7391	LR: 0.020000
Training Epoch: 24 [47872/49812]	Loss: 0.6101	LR: 0.020000
Training Epoch: 24 [47936/49812]	Loss: 0.5399	LR: 0.020000
Training Epoch: 24 [48000/49812]	Loss: 1.0740	LR: 0.020000
Training Epoch: 24 [48064/49812]	Loss: 1.0202	LR: 0.020000
Training Epoch: 24 [48128/49812]	Loss: 0.6241	LR: 0.020000
Training Epoch: 24 [48192/49812]	Loss: 0.8445	LR: 0.020000
Training Epoch: 24 [48256/49812]	Loss: 0.7809	LR: 0.020000
Training Epoch: 24 [48320/49812]	Loss: 1.0150	LR: 0.020000
Training Epoch: 24 [48384/49812]	Loss: 0.6794	LR: 0.020000
Training Epoch: 24 [48448/49812]	Loss: 0.9986	LR: 0.020000
Training Epoch: 24 [48512/49812]	Loss: 0.7717	LR: 0.020000
Training Epoch: 24 [48576/49812]	Loss: 1.1314	LR: 0.020000
Training Epoch: 24 [48640/49812]	Loss: 0.8525	LR: 0.020000
Training Epoch: 24 [48704/49812]	Loss: 1.1873	LR: 0.020000
Training Epoch: 24 [48768/49812]	Loss: 0.8634	LR: 0.020000
Training Epoch: 24 [48832/49812]	Loss: 0.8016	LR: 0.020000
Training Epoch: 24 [48896/49812]	Loss: 0.7686	LR: 0.020000
Training Epoch: 24 [48960/49812]	Loss: 0.7704	LR: 0.020000
Training Epoch: 24 [49024/49812]	Loss: 0.7039	LR: 0.020000
Training Epoch: 24 [49088/49812]	Loss: 0.6849	LR: 0.020000
Training Epoch: 24 [49152/49812]	Loss: 0.9666	LR: 0.020000
Training Epoch: 24 [49216/49812]	Loss: 0.8258	LR: 0.020000
Training Epoch: 24 [49280/49812]	Loss: 0.7022	LR: 0.020000
Training Epoch: 24 [49344/49812]	Loss: 0.7882	LR: 0.020000
Training Epoch: 24 [49408/49812]	Loss: 0.8356	LR: 0.020000
Training Epoch: 24 [49472/49812]	Loss: 0.6953	LR: 0.020000
Training Epoch: 24 [49536/49812]	Loss: 1.0437	LR: 0.020000
Training Epoch: 24 [49600/49812]	Loss: 0.7618	LR: 0.020000
Training Epoch: 24 [49664/49812]	Loss: 0.5332	LR: 0.020000
Training Epoch: 24 [49728/49812]	Loss: 0.6015	LR: 0.020000
Training Epoch: 24 [49792/49812]	Loss: 0.9441	LR: 0.020000
Training Epoch: 24 [49812/49812]	Loss: 0.9181	LR: 0.020000
Epoch 24 - Average Train Loss: 0.8319, Train Accuracy: 0.7323
Epoch 24 training time consumed: 253.33s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0167, Accuracy: 0.6823, Time consumed:16.88s
Training Epoch: 25 [64/49812]	Loss: 0.9479	LR: 0.020000
Training Epoch: 25 [128/49812]	Loss: 0.9374	LR: 0.020000
Training Epoch: 25 [192/49812]	Loss: 0.8062	LR: 0.020000
Training Epoch: 25 [256/49812]	Loss: 0.8331	LR: 0.020000
Training Epoch: 25 [320/49812]	Loss: 0.8550	LR: 0.020000
Training Epoch: 25 [384/49812]	Loss: 0.7600	LR: 0.020000
Training Epoch: 25 [448/49812]	Loss: 0.7921	LR: 0.020000
Training Epoch: 25 [512/49812]	Loss: 1.0113	LR: 0.020000
Training Epoch: 25 [576/49812]	Loss: 0.8941	LR: 0.020000
Training Epoch: 25 [640/49812]	Loss: 0.8576	LR: 0.020000
Training Epoch: 25 [704/49812]	Loss: 0.8745	LR: 0.020000
Training Epoch: 25 [768/49812]	Loss: 0.7674	LR: 0.020000
Training Epoch: 25 [832/49812]	Loss: 0.9451	LR: 0.020000
Training Epoch: 25 [896/49812]	Loss: 0.9661	LR: 0.020000
Training Epoch: 25 [960/49812]	Loss: 0.8856	LR: 0.020000
Training Epoch: 25 [1024/49812]	Loss: 0.6881	LR: 0.020000
Training Epoch: 25 [1088/49812]	Loss: 0.8480	LR: 0.020000
Training Epoch: 25 [1152/49812]	Loss: 1.0593	LR: 0.020000
Training Epoch: 25 [1216/49812]	Loss: 0.9193	LR: 0.020000
Training Epoch: 25 [1280/49812]	Loss: 0.6041	LR: 0.020000
Training Epoch: 25 [1344/49812]	Loss: 1.0357	LR: 0.020000
Training Epoch: 25 [1408/49812]	Loss: 0.6962	LR: 0.020000
Training Epoch: 25 [1472/49812]	Loss: 0.5454	LR: 0.020000
Training Epoch: 25 [1536/49812]	Loss: 1.0561	LR: 0.020000
Training Epoch: 25 [1600/49812]	Loss: 0.6879	LR: 0.020000
Training Epoch: 25 [1664/49812]	Loss: 0.5523	LR: 0.020000
Training Epoch: 25 [1728/49812]	Loss: 0.9424	LR: 0.020000
Training Epoch: 25 [1792/49812]	Loss: 0.6534	LR: 0.020000
Training Epoch: 25 [1856/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 25 [1920/49812]	Loss: 0.7044	LR: 0.020000
Training Epoch: 25 [1984/49812]	Loss: 0.7759	LR: 0.020000
Training Epoch: 25 [2048/49812]	Loss: 0.8373	LR: 0.020000
Training Epoch: 25 [2112/49812]	Loss: 0.9630	LR: 0.020000
Training Epoch: 25 [2176/49812]	Loss: 0.6310	LR: 0.020000
Training Epoch: 25 [2240/49812]	Loss: 0.7058	LR: 0.020000
Training Epoch: 25 [2304/49812]	Loss: 0.7809	LR: 0.020000
Training Epoch: 25 [2368/49812]	Loss: 0.8868	LR: 0.020000
Training Epoch: 25 [2432/49812]	Loss: 0.7787	LR: 0.020000
Training Epoch: 25 [2496/49812]	Loss: 0.6095	LR: 0.020000
Training Epoch: 25 [2560/49812]	Loss: 1.0460	LR: 0.020000
Training Epoch: 25 [2624/49812]	Loss: 0.5468	LR: 0.020000
Training Epoch: 25 [2688/49812]	Loss: 0.7054	LR: 0.020000
Training Epoch: 25 [2752/49812]	Loss: 0.6999	LR: 0.020000
Training Epoch: 25 [2816/49812]	Loss: 0.8568	LR: 0.020000
Training Epoch: 25 [2880/49812]	Loss: 0.8140	LR: 0.020000
Training Epoch: 25 [2944/49812]	Loss: 0.6794	LR: 0.020000
Training Epoch: 25 [3008/49812]	Loss: 0.6358	LR: 0.020000
Training Epoch: 25 [3072/49812]	Loss: 0.8426	LR: 0.020000
Training Epoch: 25 [3136/49812]	Loss: 0.5546	LR: 0.020000
Training Epoch: 25 [3200/49812]	Loss: 0.8828	LR: 0.020000
Training Epoch: 25 [3264/49812]	Loss: 0.9772	LR: 0.020000
Training Epoch: 25 [3328/49812]	Loss: 0.8261	LR: 0.020000
Training Epoch: 25 [3392/49812]	Loss: 0.8065	LR: 0.020000
Training Epoch: 25 [3456/49812]	Loss: 0.9241	LR: 0.020000
Training Epoch: 25 [3520/49812]	Loss: 0.5713	LR: 0.020000
Training Epoch: 25 [3584/49812]	Loss: 0.7089	LR: 0.020000
Training Epoch: 25 [3648/49812]	Loss: 0.8306	LR: 0.020000
Training Epoch: 25 [3712/49812]	Loss: 0.6838	LR: 0.020000
Training Epoch: 25 [3776/49812]	Loss: 0.6221	LR: 0.020000
Training Epoch: 25 [3840/49812]	Loss: 0.7893	LR: 0.020000
Training Epoch: 25 [3904/49812]	Loss: 0.8930	LR: 0.020000
Training Epoch: 25 [3968/49812]	Loss: 0.4534	LR: 0.020000
Training Epoch: 25 [4032/49812]	Loss: 0.7705	LR: 0.020000
Training Epoch: 25 [4096/49812]	Loss: 0.9817	LR: 0.020000
Training Epoch: 25 [4160/49812]	Loss: 0.6095	LR: 0.020000
Training Epoch: 25 [4224/49812]	Loss: 0.8324	LR: 0.020000
Training Epoch: 25 [4288/49812]	Loss: 0.8217	LR: 0.020000
Training Epoch: 25 [4352/49812]	Loss: 0.9179	LR: 0.020000
Training Epoch: 25 [4416/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 25 [4480/49812]	Loss: 0.4972	LR: 0.020000
Training Epoch: 25 [4544/49812]	Loss: 0.7823	LR: 0.020000
Training Epoch: 25 [4608/49812]	Loss: 0.8098	LR: 0.020000
Training Epoch: 25 [4672/49812]	Loss: 0.6888	LR: 0.020000
Training Epoch: 25 [4736/49812]	Loss: 0.8859	LR: 0.020000
Training Epoch: 25 [4800/49812]	Loss: 0.8459	LR: 0.020000
Training Epoch: 25 [4864/49812]	Loss: 0.7170	LR: 0.020000
Training Epoch: 25 [4928/49812]	Loss: 0.8727	LR: 0.020000
Training Epoch: 25 [4992/49812]	Loss: 0.6360	LR: 0.020000
Training Epoch: 25 [5056/49812]	Loss: 0.9330	LR: 0.020000
Training Epoch: 25 [5120/49812]	Loss: 0.7813	LR: 0.020000
Training Epoch: 25 [5184/49812]	Loss: 0.7055	LR: 0.020000
Training Epoch: 25 [5248/49812]	Loss: 0.8669	LR: 0.020000
Training Epoch: 25 [5312/49812]	Loss: 0.8602	LR: 0.020000
Training Epoch: 25 [5376/49812]	Loss: 0.7373	LR: 0.020000
Training Epoch: 25 [5440/49812]	Loss: 0.5258	LR: 0.020000
Training Epoch: 25 [5504/49812]	Loss: 0.8349	LR: 0.020000
Training Epoch: 25 [5568/49812]	Loss: 0.8631	LR: 0.020000
Training Epoch: 25 [5632/49812]	Loss: 0.6052	LR: 0.020000
Training Epoch: 25 [5696/49812]	Loss: 0.5602	LR: 0.020000
Training Epoch: 25 [5760/49812]	Loss: 0.7224	LR: 0.020000
Training Epoch: 25 [5824/49812]	Loss: 0.7891	LR: 0.020000
Training Epoch: 25 [5888/49812]	Loss: 0.8068	LR: 0.020000
Training Epoch: 25 [5952/49812]	Loss: 0.9602	LR: 0.020000
Training Epoch: 25 [6016/49812]	Loss: 0.7668	LR: 0.020000
Training Epoch: 25 [6080/49812]	Loss: 0.8730	LR: 0.020000
Training Epoch: 25 [6144/49812]	Loss: 0.8740	LR: 0.020000
Training Epoch: 25 [6208/49812]	Loss: 0.9849	LR: 0.020000
Training Epoch: 25 [6272/49812]	Loss: 0.9149	LR: 0.020000
Training Epoch: 25 [6336/49812]	Loss: 0.9054	LR: 0.020000
Training Epoch: 25 [6400/49812]	Loss: 0.5508	LR: 0.020000
Training Epoch: 25 [6464/49812]	Loss: 0.6964	LR: 0.020000
Training Epoch: 25 [6528/49812]	Loss: 0.9651	LR: 0.020000
Training Epoch: 25 [6592/49812]	Loss: 0.6685	LR: 0.020000
Training Epoch: 25 [6656/49812]	Loss: 0.7622	LR: 0.020000
Training Epoch: 25 [6720/49812]	Loss: 0.9863	LR: 0.020000
Training Epoch: 25 [6784/49812]	Loss: 0.8009	LR: 0.020000
Training Epoch: 25 [6848/49812]	Loss: 1.0895	LR: 0.020000
Training Epoch: 25 [6912/49812]	Loss: 0.7047	LR: 0.020000
Training Epoch: 25 [6976/49812]	Loss: 0.7258	LR: 0.020000
Training Epoch: 25 [7040/49812]	Loss: 0.6949	LR: 0.020000
Training Epoch: 25 [7104/49812]	Loss: 0.7307	LR: 0.020000
Training Epoch: 25 [7168/49812]	Loss: 0.6185	LR: 0.020000
Training Epoch: 25 [7232/49812]	Loss: 0.7024	LR: 0.020000
Training Epoch: 25 [7296/49812]	Loss: 0.9640	LR: 0.020000
Training Epoch: 25 [7360/49812]	Loss: 0.6174	LR: 0.020000
Training Epoch: 25 [7424/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 25 [7488/49812]	Loss: 0.7796	LR: 0.020000
Training Epoch: 25 [7552/49812]	Loss: 0.7638	LR: 0.020000
Training Epoch: 25 [7616/49812]	Loss: 0.6501	LR: 0.020000
Training Epoch: 25 [7680/49812]	Loss: 1.1838	LR: 0.020000
Training Epoch: 25 [7744/49812]	Loss: 1.0095	LR: 0.020000
Training Epoch: 25 [7808/49812]	Loss: 0.8661	LR: 0.020000
Training Epoch: 25 [7872/49812]	Loss: 0.8747	LR: 0.020000
Training Epoch: 25 [7936/49812]	Loss: 0.9278	LR: 0.020000
Training Epoch: 25 [8000/49812]	Loss: 0.7496	LR: 0.020000
Training Epoch: 25 [8064/49812]	Loss: 0.5195	LR: 0.020000
Training Epoch: 25 [8128/49812]	Loss: 0.7149	LR: 0.020000
Training Epoch: 25 [8192/49812]	Loss: 0.5856	LR: 0.020000
Training Epoch: 25 [8256/49812]	Loss: 0.7644	LR: 0.020000
Training Epoch: 25 [8320/49812]	Loss: 0.7239	LR: 0.020000
Training Epoch: 25 [8384/49812]	Loss: 0.7494	LR: 0.020000
Training Epoch: 25 [8448/49812]	Loss: 0.8320	LR: 0.020000
Training Epoch: 25 [8512/49812]	Loss: 0.8497	LR: 0.020000
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Training Epoch: 25 [8832/49812]	Loss: 0.6911	LR: 0.020000
Training Epoch: 25 [8896/49812]	Loss: 0.8426	LR: 0.020000
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Training Epoch: 25 [9024/49812]	Loss: 1.1588	LR: 0.020000
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Training Epoch: 25 [9472/49812]	Loss: 0.5457	LR: 0.020000
Training Epoch: 25 [9536/49812]	Loss: 0.9050	LR: 0.020000
Training Epoch: 25 [9600/49812]	Loss: 0.9199	LR: 0.020000
Training Epoch: 25 [9664/49812]	Loss: 1.0524	LR: 0.020000
Training Epoch: 25 [9728/49812]	Loss: 1.0519	LR: 0.020000
Training Epoch: 25 [9792/49812]	Loss: 0.7477	LR: 0.020000
Training Epoch: 25 [9856/49812]	Loss: 0.8186	LR: 0.020000
Training Epoch: 25 [9920/49812]	Loss: 0.5978	LR: 0.020000
Training Epoch: 25 [9984/49812]	Loss: 0.9229	LR: 0.020000
Training Epoch: 25 [10048/49812]	Loss: 0.5418	LR: 0.020000
Training Epoch: 25 [10112/49812]	Loss: 0.6921	LR: 0.020000
Training Epoch: 25 [10176/49812]	Loss: 0.7645	LR: 0.020000
Training Epoch: 25 [10240/49812]	Loss: 0.6183	LR: 0.020000
Training Epoch: 25 [10304/49812]	Loss: 0.6608	LR: 0.020000
Training Epoch: 25 [10368/49812]	Loss: 0.7414	LR: 0.020000
Training Epoch: 25 [10432/49812]	Loss: 0.7686	LR: 0.020000
Training Epoch: 25 [10496/49812]	Loss: 0.7439	LR: 0.020000
Training Epoch: 25 [10560/49812]	Loss: 0.5878	LR: 0.020000
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Training Epoch: 25 [10688/49812]	Loss: 0.7190	LR: 0.020000
Training Epoch: 25 [10752/49812]	Loss: 0.6702	LR: 0.020000
Training Epoch: 25 [10816/49812]	Loss: 0.9466	LR: 0.020000
Training Epoch: 25 [10880/49812]	Loss: 0.8705	LR: 0.020000
Training Epoch: 25 [10944/49812]	Loss: 0.8529	LR: 0.020000
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Training Epoch: 25 [11072/49812]	Loss: 0.9457	LR: 0.020000
Training Epoch: 25 [11136/49812]	Loss: 0.8563	LR: 0.020000
Training Epoch: 25 [11200/49812]	Loss: 0.8360	LR: 0.020000
Training Epoch: 25 [11264/49812]	Loss: 1.0280	LR: 0.020000
Training Epoch: 25 [11328/49812]	Loss: 0.5642	LR: 0.020000
Training Epoch: 25 [11392/49812]	Loss: 0.5947	LR: 0.020000
Training Epoch: 25 [11456/49812]	Loss: 0.8433	LR: 0.020000
Training Epoch: 25 [11520/49812]	Loss: 0.7551	LR: 0.020000
Training Epoch: 25 [11584/49812]	Loss: 0.9183	LR: 0.020000
Training Epoch: 25 [11648/49812]	Loss: 0.5714	LR: 0.020000
Training Epoch: 25 [11712/49812]	Loss: 0.7002	LR: 0.020000
Training Epoch: 25 [11776/49812]	Loss: 1.0721	LR: 0.020000
Training Epoch: 25 [11840/49812]	Loss: 1.1492	LR: 0.020000
Training Epoch: 25 [11904/49812]	Loss: 0.7499	LR: 0.020000
Training Epoch: 25 [11968/49812]	Loss: 0.6796	LR: 0.020000
Training Epoch: 25 [12032/49812]	Loss: 0.8488	LR: 0.020000
Training Epoch: 25 [12096/49812]	Loss: 1.0702	LR: 0.020000
Training Epoch: 25 [12160/49812]	Loss: 0.8854	LR: 0.020000
Training Epoch: 25 [12224/49812]	Loss: 0.5547	LR: 0.020000
Training Epoch: 25 [12288/49812]	Loss: 0.7424	LR: 0.020000
Training Epoch: 25 [12352/49812]	Loss: 0.8661	LR: 0.020000
Training Epoch: 25 [12416/49812]	Loss: 0.6143	LR: 0.020000
Training Epoch: 25 [12480/49812]	Loss: 0.8310	LR: 0.020000
Training Epoch: 25 [12544/49812]	Loss: 0.9929	LR: 0.020000
Training Epoch: 25 [12608/49812]	Loss: 0.6060	LR: 0.020000
Training Epoch: 25 [12672/49812]	Loss: 1.0697	LR: 0.020000
Training Epoch: 25 [12736/49812]	Loss: 0.6844	LR: 0.020000
Training Epoch: 25 [12800/49812]	Loss: 0.5900	LR: 0.020000
Training Epoch: 25 [12864/49812]	Loss: 0.6463	LR: 0.020000
Training Epoch: 25 [12928/49812]	Loss: 0.6391	LR: 0.020000
Training Epoch: 25 [12992/49812]	Loss: 0.9138	LR: 0.020000
Training Epoch: 25 [13056/49812]	Loss: 0.6393	LR: 0.020000
Training Epoch: 25 [13120/49812]	Loss: 0.7938	LR: 0.020000
Training Epoch: 25 [13184/49812]	Loss: 0.8507	LR: 0.020000
Training Epoch: 25 [13248/49812]	Loss: 0.7659	LR: 0.020000
Training Epoch: 25 [13312/49812]	Loss: 0.9734	LR: 0.020000
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Training Epoch: 25 [13440/49812]	Loss: 0.7527	LR: 0.020000
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Training Epoch: 25 [13568/49812]	Loss: 0.7419	LR: 0.020000
Training Epoch: 25 [13632/49812]	Loss: 0.9772	LR: 0.020000
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Training Epoch: 25 [13760/49812]	Loss: 0.8386	LR: 0.020000
Training Epoch: 25 [13824/49812]	Loss: 0.6448	LR: 0.020000
Training Epoch: 25 [13888/49812]	Loss: 0.9684	LR: 0.020000
Training Epoch: 25 [13952/49812]	Loss: 0.8194	LR: 0.020000
Training Epoch: 25 [14016/49812]	Loss: 0.8934	LR: 0.020000
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Training Epoch: 25 [14144/49812]	Loss: 1.0376	LR: 0.020000
Training Epoch: 25 [14208/49812]	Loss: 0.6739	LR: 0.020000
Training Epoch: 25 [14272/49812]	Loss: 1.1524	LR: 0.020000
Training Epoch: 25 [14336/49812]	Loss: 0.8084	LR: 0.020000
Training Epoch: 25 [14400/49812]	Loss: 0.6637	LR: 0.020000
Training Epoch: 25 [14464/49812]	Loss: 0.6888	LR: 0.020000
Training Epoch: 25 [14528/49812]	Loss: 1.0221	LR: 0.020000
Training Epoch: 25 [14592/49812]	Loss: 0.6447	LR: 0.020000
Training Epoch: 25 [14656/49812]	Loss: 0.9090	LR: 0.020000
Training Epoch: 25 [14720/49812]	Loss: 0.9544	LR: 0.020000
Training Epoch: 25 [14784/49812]	Loss: 0.9015	LR: 0.020000
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Training Epoch: 25 [14912/49812]	Loss: 0.9855	LR: 0.020000
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Training Epoch: 25 [15040/49812]	Loss: 0.6623	LR: 0.020000
Training Epoch: 25 [15104/49812]	Loss: 1.0184	LR: 0.020000
Training Epoch: 25 [15168/49812]	Loss: 0.8407	LR: 0.020000
Training Epoch: 25 [15232/49812]	Loss: 0.8472	LR: 0.020000
Training Epoch: 25 [15296/49812]	Loss: 0.8447	LR: 0.020000
Training Epoch: 25 [15360/49812]	Loss: 0.7026	LR: 0.020000
Training Epoch: 25 [15424/49812]	Loss: 0.8198	LR: 0.020000
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Training Epoch: 25 [15616/49812]	Loss: 0.5689	LR: 0.020000
Training Epoch: 25 [15680/49812]	Loss: 0.7706	LR: 0.020000
Training Epoch: 25 [15744/49812]	Loss: 0.9432	LR: 0.020000
Training Epoch: 25 [15808/49812]	Loss: 0.9178	LR: 0.020000
Training Epoch: 25 [15872/49812]	Loss: 0.6226	LR: 0.020000
Training Epoch: 25 [15936/49812]	Loss: 1.0612	LR: 0.020000
Training Epoch: 25 [16000/49812]	Loss: 1.0494	LR: 0.020000
Training Epoch: 25 [16064/49812]	Loss: 0.9575	LR: 0.020000
Training Epoch: 25 [16128/49812]	Loss: 0.8308	LR: 0.020000
Training Epoch: 25 [16192/49812]	Loss: 0.8142	LR: 0.020000
Training Epoch: 25 [16256/49812]	Loss: 0.9662	LR: 0.020000
Training Epoch: 25 [16320/49812]	Loss: 0.9824	LR: 0.020000
Training Epoch: 25 [16384/49812]	Loss: 0.7172	LR: 0.020000
Training Epoch: 25 [16448/49812]	Loss: 0.7056	LR: 0.020000
Training Epoch: 25 [16512/49812]	Loss: 0.7083	LR: 0.020000
Training Epoch: 25 [16576/49812]	Loss: 0.5260	LR: 0.020000
Training Epoch: 25 [16640/49812]	Loss: 0.6503	LR: 0.020000
Training Epoch: 25 [16704/49812]	Loss: 0.7174	LR: 0.020000
Training Epoch: 25 [16768/49812]	Loss: 0.7894	LR: 0.020000
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Training Epoch: 25 [16896/49812]	Loss: 0.9639	LR: 0.020000
Training Epoch: 25 [16960/49812]	Loss: 0.8562	LR: 0.020000
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Training Epoch: 25 [17152/49812]	Loss: 1.2205	LR: 0.020000
Training Epoch: 25 [17216/49812]	Loss: 0.7932	LR: 0.020000
Training Epoch: 25 [17280/49812]	Loss: 0.5852	LR: 0.020000
Training Epoch: 25 [17344/49812]	Loss: 1.0803	LR: 0.020000
Training Epoch: 25 [17408/49812]	Loss: 1.0861	LR: 0.020000
Training Epoch: 25 [17472/49812]	Loss: 0.7822	LR: 0.020000
Training Epoch: 25 [17536/49812]	Loss: 0.6256	LR: 0.020000
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Training Epoch: 25 [17664/49812]	Loss: 0.8549	LR: 0.020000
Training Epoch: 25 [17728/49812]	Loss: 0.7707	LR: 0.020000
Training Epoch: 25 [17792/49812]	Loss: 0.7307	LR: 0.020000
Training Epoch: 25 [17856/49812]	Loss: 0.8358	LR: 0.020000
Training Epoch: 25 [17920/49812]	Loss: 0.9374	LR: 0.020000
Training Epoch: 25 [17984/49812]	Loss: 0.8167	LR: 0.020000
Training Epoch: 25 [18048/49812]	Loss: 0.7678	LR: 0.020000
Training Epoch: 25 [18112/49812]	Loss: 0.9673	LR: 0.020000
Training Epoch: 25 [18176/49812]	Loss: 0.8059	LR: 0.020000
Training Epoch: 25 [18240/49812]	Loss: 0.9162	LR: 0.020000
Training Epoch: 25 [18304/49812]	Loss: 0.8676	LR: 0.020000
Training Epoch: 25 [18368/49812]	Loss: 0.9016	LR: 0.020000
Training Epoch: 25 [18432/49812]	Loss: 0.5952	LR: 0.020000
Training Epoch: 25 [18496/49812]	Loss: 0.8271	LR: 0.020000
Training Epoch: 25 [18560/49812]	Loss: 0.9450	LR: 0.020000
Training Epoch: 25 [18624/49812]	Loss: 0.7615	LR: 0.020000
Training Epoch: 25 [18688/49812]	Loss: 0.8398	LR: 0.020000
Training Epoch: 25 [18752/49812]	Loss: 0.8816	LR: 0.020000
Training Epoch: 25 [18816/49812]	Loss: 0.9359	LR: 0.020000
Training Epoch: 25 [18880/49812]	Loss: 0.8533	LR: 0.020000
Training Epoch: 25 [18944/49812]	Loss: 0.7591	LR: 0.020000
Training Epoch: 25 [19008/49812]	Loss: 0.6932	LR: 0.020000
Training Epoch: 25 [19072/49812]	Loss: 0.7753	LR: 0.020000
Training Epoch: 25 [19136/49812]	Loss: 0.8066	LR: 0.020000
Training Epoch: 25 [19200/49812]	Loss: 0.6222	LR: 0.020000
Training Epoch: 25 [19264/49812]	Loss: 1.0301	LR: 0.020000
Training Epoch: 25 [19328/49812]	Loss: 0.9524	LR: 0.020000
Training Epoch: 25 [19392/49812]	Loss: 0.7132	LR: 0.020000
Training Epoch: 25 [19456/49812]	Loss: 0.7061	LR: 0.020000
Training Epoch: 25 [19520/49812]	Loss: 0.9464	LR: 0.020000
Training Epoch: 25 [19584/49812]	Loss: 1.0005	LR: 0.020000
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Training Epoch: 25 [19712/49812]	Loss: 0.8587	LR: 0.020000
Training Epoch: 25 [19776/49812]	Loss: 0.6436	LR: 0.020000
Training Epoch: 25 [19840/49812]	Loss: 0.8153	LR: 0.020000
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Training Epoch: 25 [19968/49812]	Loss: 1.0364	LR: 0.020000
Training Epoch: 25 [20032/49812]	Loss: 0.8767	LR: 0.020000
Training Epoch: 25 [20096/49812]	Loss: 0.6267	LR: 0.020000
Training Epoch: 25 [20160/49812]	Loss: 0.8989	LR: 0.020000
Training Epoch: 25 [20224/49812]	Loss: 0.9191	LR: 0.020000
Training Epoch: 25 [20288/49812]	Loss: 0.8776	LR: 0.020000
Training Epoch: 25 [20352/49812]	Loss: 0.6146	LR: 0.020000
Training Epoch: 25 [20416/49812]	Loss: 0.6694	LR: 0.020000
Training Epoch: 25 [20480/49812]	Loss: 0.8500	LR: 0.020000
Training Epoch: 25 [20544/49812]	Loss: 0.8680	LR: 0.020000
Training Epoch: 25 [20608/49812]	Loss: 0.9218	LR: 0.020000
Training Epoch: 25 [20672/49812]	Loss: 1.1067	LR: 0.020000
Training Epoch: 25 [20736/49812]	Loss: 0.7731	LR: 0.020000
Training Epoch: 25 [20800/49812]	Loss: 0.8863	LR: 0.020000
Training Epoch: 25 [20864/49812]	Loss: 0.8263	LR: 0.020000
Training Epoch: 25 [20928/49812]	Loss: 0.6439	LR: 0.020000
Training Epoch: 25 [20992/49812]	Loss: 0.9534	LR: 0.020000
Training Epoch: 25 [21056/49812]	Loss: 0.7169	LR: 0.020000
Training Epoch: 25 [21120/49812]	Loss: 0.7428	LR: 0.020000
Training Epoch: 25 [21184/49812]	Loss: 1.1332	LR: 0.020000
Training Epoch: 25 [21248/49812]	Loss: 0.5863	LR: 0.020000
Training Epoch: 25 [21312/49812]	Loss: 0.8779	LR: 0.020000
Training Epoch: 25 [21376/49812]	Loss: 0.6503	LR: 0.020000
Training Epoch: 25 [21440/49812]	Loss: 0.7904	LR: 0.020000
Training Epoch: 25 [21504/49812]	Loss: 1.0528	LR: 0.020000
Training Epoch: 25 [21568/49812]	Loss: 0.7793	LR: 0.020000
Training Epoch: 25 [21632/49812]	Loss: 0.9321	LR: 0.020000
Training Epoch: 25 [21696/49812]	Loss: 0.7682	LR: 0.020000
Training Epoch: 25 [21760/49812]	Loss: 0.6156	LR: 0.020000
Training Epoch: 25 [21824/49812]	Loss: 0.9494	LR: 0.020000
Training Epoch: 25 [21888/49812]	Loss: 0.9561	LR: 0.020000
Training Epoch: 25 [21952/49812]	Loss: 0.8911	LR: 0.020000
Training Epoch: 25 [22016/49812]	Loss: 0.8617	LR: 0.020000
Training Epoch: 25 [22080/49812]	Loss: 0.6207	LR: 0.020000
Training Epoch: 25 [22144/49812]	Loss: 0.8020	LR: 0.020000
Training Epoch: 25 [22208/49812]	Loss: 0.8426	LR: 0.020000
Training Epoch: 25 [22272/49812]	Loss: 0.9319	LR: 0.020000
Training Epoch: 25 [22336/49812]	Loss: 1.0290	LR: 0.020000
Training Epoch: 25 [22400/49812]	Loss: 0.6472	LR: 0.020000
Training Epoch: 25 [22464/49812]	Loss: 1.0860	LR: 0.020000
Training Epoch: 25 [22528/49812]	Loss: 1.0618	LR: 0.020000
Training Epoch: 25 [22592/49812]	Loss: 1.2900	LR: 0.020000
Training Epoch: 25 [22656/49812]	Loss: 0.8906	LR: 0.020000
Training Epoch: 25 [22720/49812]	Loss: 0.7948	LR: 0.020000
Training Epoch: 25 [22784/49812]	Loss: 1.2008	LR: 0.020000
Training Epoch: 25 [22848/49812]	Loss: 0.8298	LR: 0.020000
Training Epoch: 25 [22912/49812]	Loss: 0.6943	LR: 0.020000
Training Epoch: 25 [22976/49812]	Loss: 0.8225	LR: 0.020000
Training Epoch: 25 [23040/49812]	Loss: 0.7932	LR: 0.020000
Training Epoch: 25 [23104/49812]	Loss: 0.6905	LR: 0.020000
Training Epoch: 25 [23168/49812]	Loss: 0.6250	LR: 0.020000
Training Epoch: 25 [23232/49812]	Loss: 0.8888	LR: 0.020000
Training Epoch: 25 [23296/49812]	Loss: 1.1555	LR: 0.020000
Training Epoch: 25 [23360/49812]	Loss: 0.8010	LR: 0.020000
Training Epoch: 25 [23424/49812]	Loss: 0.7306	LR: 0.020000
Training Epoch: 25 [23488/49812]	Loss: 0.8010	LR: 0.020000
Training Epoch: 25 [23552/49812]	Loss: 0.7611	LR: 0.020000
Training Epoch: 25 [23616/49812]	Loss: 0.7120	LR: 0.020000
Training Epoch: 25 [23680/49812]	Loss: 1.0643	LR: 0.020000
Training Epoch: 25 [23744/49812]	Loss: 0.9382	LR: 0.020000
Training Epoch: 25 [23808/49812]	Loss: 0.9049	LR: 0.020000
Training Epoch: 25 [23872/49812]	Loss: 0.9714	LR: 0.020000
Training Epoch: 25 [23936/49812]	Loss: 1.0820	LR: 0.020000
Training Epoch: 25 [24000/49812]	Loss: 0.9169	LR: 0.020000
Training Epoch: 25 [24064/49812]	Loss: 0.6390	LR: 0.020000
Training Epoch: 25 [24128/49812]	Loss: 0.7733	LR: 0.020000
Training Epoch: 25 [24192/49812]	Loss: 0.8313	LR: 0.020000
Training Epoch: 25 [24256/49812]	Loss: 0.7424	LR: 0.020000
Training Epoch: 25 [24320/49812]	Loss: 1.2080	LR: 0.020000
Training Epoch: 25 [24384/49812]	Loss: 0.6658	LR: 0.020000
Training Epoch: 25 [24448/49812]	Loss: 0.7201	LR: 0.020000
Training Epoch: 25 [24512/49812]	Loss: 0.9403	LR: 0.020000
Training Epoch: 25 [24576/49812]	Loss: 1.0141	LR: 0.020000
Training Epoch: 25 [24640/49812]	Loss: 1.0042	LR: 0.020000
Training Epoch: 25 [24704/49812]	Loss: 0.6871	LR: 0.020000
Training Epoch: 25 [24768/49812]	Loss: 0.8938	LR: 0.020000
Training Epoch: 25 [24832/49812]	Loss: 1.0268	LR: 0.020000
Training Epoch: 25 [24896/49812]	Loss: 0.7091	LR: 0.020000
Training Epoch: 25 [24960/49812]	Loss: 1.0224	LR: 0.020000
Training Epoch: 25 [25024/49812]	Loss: 0.6386	LR: 0.020000
Training Epoch: 25 [25088/49812]	Loss: 0.9264	LR: 0.020000
Training Epoch: 25 [25152/49812]	Loss: 0.9141	LR: 0.020000
Training Epoch: 25 [25216/49812]	Loss: 0.8821	LR: 0.020000
Training Epoch: 25 [25280/49812]	Loss: 0.7556	LR: 0.020000
Training Epoch: 25 [25344/49812]	Loss: 0.6528	LR: 0.020000
Training Epoch: 25 [25408/49812]	Loss: 0.7597	LR: 0.020000
Training Epoch: 25 [25472/49812]	Loss: 0.9176	LR: 0.020000
Training Epoch: 25 [25536/49812]	Loss: 0.9614	LR: 0.020000
Training Epoch: 25 [25600/49812]	Loss: 0.9887	LR: 0.020000
Training Epoch: 25 [25664/49812]	Loss: 0.9816	LR: 0.020000
Training Epoch: 25 [25728/49812]	Loss: 0.8777	LR: 0.020000
Training Epoch: 25 [25792/49812]	Loss: 0.7588	LR: 0.020000
Training Epoch: 25 [25856/49812]	Loss: 0.8985	LR: 0.020000
Training Epoch: 25 [25920/49812]	Loss: 0.8417	LR: 0.020000
Training Epoch: 25 [25984/49812]	Loss: 0.7038	LR: 0.020000
Training Epoch: 25 [26048/49812]	Loss: 0.9478	LR: 0.020000
Training Epoch: 25 [26112/49812]	Loss: 0.8138	LR: 0.020000
Training Epoch: 25 [26176/49812]	Loss: 0.7173	LR: 0.020000
Training Epoch: 25 [26240/49812]	Loss: 0.6229	LR: 0.020000
Training Epoch: 25 [26304/49812]	Loss: 0.6758	LR: 0.020000
Training Epoch: 25 [26368/49812]	Loss: 1.2676	LR: 0.020000
Training Epoch: 25 [26432/49812]	Loss: 0.6806	LR: 0.020000
Training Epoch: 25 [26496/49812]	Loss: 0.7919	LR: 0.020000
Training Epoch: 25 [26560/49812]	Loss: 0.8905	LR: 0.020000
Training Epoch: 25 [26624/49812]	Loss: 1.0571	LR: 0.020000
Training Epoch: 25 [26688/49812]	Loss: 0.7158	LR: 0.020000
Training Epoch: 25 [26752/49812]	Loss: 0.8016	LR: 0.020000
Training Epoch: 25 [26816/49812]	Loss: 0.7002	LR: 0.020000
Training Epoch: 25 [26880/49812]	Loss: 0.8347	LR: 0.020000
Training Epoch: 25 [26944/49812]	Loss: 0.5826	LR: 0.020000
Training Epoch: 25 [27008/49812]	Loss: 0.7032	LR: 0.020000
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Training Epoch: 25 [27648/49812]	Loss: 0.7604	LR: 0.020000
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Training Epoch: 25 [28032/49812]	Loss: 0.7577	LR: 0.020000
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Training Epoch: 25 [28160/49812]	Loss: 0.7114	LR: 0.020000
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Training Epoch: 25 [28288/49812]	Loss: 0.7977	LR: 0.020000
Training Epoch: 25 [28352/49812]	Loss: 0.7123	LR: 0.020000
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Training Epoch: 25 [28544/49812]	Loss: 0.8428	LR: 0.020000
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Training Epoch: 25 [29120/49812]	Loss: 1.2707	LR: 0.020000
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Training Epoch: 25 [29760/49812]	Loss: 0.9604	LR: 0.020000
Training Epoch: 25 [29824/49812]	Loss: 1.0371	LR: 0.020000
Training Epoch: 25 [29888/49812]	Loss: 0.9294	LR: 0.020000
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Training Epoch: 25 [30016/49812]	Loss: 0.5477	LR: 0.020000
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Training Epoch: 25 [30912/49812]	Loss: 0.7511	LR: 0.020000
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Training Epoch: 25 [31232/49812]	Loss: 0.6806	LR: 0.020000
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Training Epoch: 25 [32512/49812]	Loss: 0.6773	LR: 0.020000
Training Epoch: 25 [32576/49812]	Loss: 0.8967	LR: 0.020000
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Training Epoch: 25 [32704/49812]	Loss: 1.0183	LR: 0.020000
Training Epoch: 25 [32768/49812]	Loss: 0.6662	LR: 0.020000
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Training Epoch: 25 [32960/49812]	Loss: 0.7154	LR: 0.020000
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Training Epoch: 25 [33408/49812]	Loss: 0.4016	LR: 0.020000
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Training Epoch: 25 [33664/49812]	Loss: 1.1443	LR: 0.020000
Training Epoch: 25 [33728/49812]	Loss: 1.0235	LR: 0.020000
Training Epoch: 25 [33792/49812]	Loss: 0.8867	LR: 0.020000
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Training Epoch: 25 [34176/49812]	Loss: 0.9814	LR: 0.020000
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Training Epoch: 25 [34496/49812]	Loss: 1.1144	LR: 0.020000
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Training Epoch: 25 [35392/49812]	Loss: 1.2685	LR: 0.020000
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Training Epoch: 25 [35520/49812]	Loss: 0.9546	LR: 0.020000
Training Epoch: 25 [35584/49812]	Loss: 0.8996	LR: 0.020000
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Training Epoch: 25 [35712/49812]	Loss: 0.9276	LR: 0.020000
Training Epoch: 25 [35776/49812]	Loss: 1.2086	LR: 0.020000
Training Epoch: 25 [35840/49812]	Loss: 0.6992	LR: 0.020000
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Training Epoch: 25 [36160/49812]	Loss: 1.0372	LR: 0.020000
Training Epoch: 25 [36224/49812]	Loss: 0.7657	LR: 0.020000
Training Epoch: 25 [36288/49812]	Loss: 0.9740	LR: 0.020000
Training Epoch: 25 [36352/49812]	Loss: 0.8653	LR: 0.020000
Training Epoch: 25 [36416/49812]	Loss: 0.8674	LR: 0.020000
Training Epoch: 25 [36480/49812]	Loss: 0.6295	LR: 0.020000
Training Epoch: 25 [36544/49812]	Loss: 0.9692	LR: 0.020000
Training Epoch: 25 [36608/49812]	Loss: 1.2277	LR: 0.020000
Training Epoch: 25 [36672/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 25 [36736/49812]	Loss: 0.8328	LR: 0.020000
Training Epoch: 25 [36800/49812]	Loss: 0.9340	LR: 0.020000
Training Epoch: 25 [36864/49812]	Loss: 0.7047	LR: 0.020000
Training Epoch: 25 [36928/49812]	Loss: 0.8404	LR: 0.020000
Training Epoch: 25 [36992/49812]	Loss: 1.0966	LR: 0.020000
Training Epoch: 25 [37056/49812]	Loss: 0.8547	LR: 0.020000
Training Epoch: 25 [37120/49812]	Loss: 0.7860	LR: 0.020000
Training Epoch: 25 [37184/49812]	Loss: 1.0331	LR: 0.020000
Training Epoch: 25 [37248/49812]	Loss: 0.7815	LR: 0.020000
Training Epoch: 25 [37312/49812]	Loss: 1.0473	LR: 0.020000
Training Epoch: 25 [37376/49812]	Loss: 0.7555	LR: 0.020000
Training Epoch: 25 [37440/49812]	Loss: 0.8732	LR: 0.020000
Training Epoch: 25 [37504/49812]	Loss: 1.2602	LR: 0.020000
Training Epoch: 25 [37568/49812]	Loss: 0.9016	LR: 0.020000
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Training Epoch: 25 [37760/49812]	Loss: 0.9785	LR: 0.020000
Training Epoch: 25 [37824/49812]	Loss: 0.8604	LR: 0.020000
Training Epoch: 25 [37888/49812]	Loss: 0.6740	LR: 0.020000
Training Epoch: 25 [37952/49812]	Loss: 0.7497	LR: 0.020000
Training Epoch: 25 [38016/49812]	Loss: 0.9059	LR: 0.020000
Training Epoch: 25 [38080/49812]	Loss: 1.0865	LR: 0.020000
Training Epoch: 25 [38144/49812]	Loss: 0.7865	LR: 0.020000
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Training Epoch: 25 [38272/49812]	Loss: 1.1582	LR: 0.020000
Training Epoch: 25 [38336/49812]	Loss: 0.9070	LR: 0.020000
Training Epoch: 25 [38400/49812]	Loss: 0.8700	LR: 0.020000
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Training Epoch: 25 [38528/49812]	Loss: 0.8331	LR: 0.020000
Training Epoch: 25 [38592/49812]	Loss: 0.8092	LR: 0.020000
Training Epoch: 25 [38656/49812]	Loss: 0.9585	LR: 0.020000
Training Epoch: 25 [38720/49812]	Loss: 0.6768	LR: 0.020000
Training Epoch: 25 [38784/49812]	Loss: 1.1141	LR: 0.020000
Training Epoch: 25 [38848/49812]	Loss: 0.8610	LR: 0.020000
Training Epoch: 25 [38912/49812]	Loss: 0.7869	LR: 0.020000
Training Epoch: 25 [38976/49812]	Loss: 0.8993	LR: 0.020000
Training Epoch: 25 [39040/49812]	Loss: 0.7437	LR: 0.020000
Training Epoch: 25 [39104/49812]	Loss: 0.8579	LR: 0.020000
Training Epoch: 25 [39168/49812]	Loss: 0.9962	LR: 0.020000
Training Epoch: 25 [39232/49812]	Loss: 1.1922	LR: 0.020000
Training Epoch: 25 [39296/49812]	Loss: 0.8287	LR: 0.020000
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Training Epoch: 25 [39424/49812]	Loss: 0.6952	LR: 0.020000
Training Epoch: 25 [39488/49812]	Loss: 0.7122	LR: 0.020000
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Training Epoch: 25 [39616/49812]	Loss: 1.0386	LR: 0.020000
Training Epoch: 25 [39680/49812]	Loss: 0.5283	LR: 0.020000
Training Epoch: 25 [39744/49812]	Loss: 0.8251	LR: 0.020000
Training Epoch: 25 [39808/49812]	Loss: 1.1070	LR: 0.020000
Training Epoch: 25 [39872/49812]	Loss: 0.6494	LR: 0.020000
Training Epoch: 25 [39936/49812]	Loss: 0.5967	LR: 0.020000
Training Epoch: 25 [40000/49812]	Loss: 0.9773	LR: 0.020000
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Training Epoch: 25 [40128/49812]	Loss: 0.7711	LR: 0.020000
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Training Epoch: 25 [40320/49812]	Loss: 0.7706	LR: 0.020000
Training Epoch: 25 [40384/49812]	Loss: 0.8781	LR: 0.020000
Training Epoch: 25 [40448/49812]	Loss: 1.1890	LR: 0.020000
Training Epoch: 25 [40512/49812]	Loss: 0.8441	LR: 0.020000
Training Epoch: 25 [40576/49812]	Loss: 0.7214	LR: 0.020000
Training Epoch: 25 [40640/49812]	Loss: 1.2234	LR: 0.020000
Training Epoch: 25 [40704/49812]	Loss: 0.8916	LR: 0.020000
Training Epoch: 25 [40768/49812]	Loss: 0.5009	LR: 0.020000
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Training Epoch: 25 [40896/49812]	Loss: 0.6097	LR: 0.020000
Training Epoch: 25 [40960/49812]	Loss: 0.7291	LR: 0.020000
Training Epoch: 25 [41024/49812]	Loss: 0.7955	LR: 0.020000
Training Epoch: 25 [41088/49812]	Loss: 1.0300	LR: 0.020000
Training Epoch: 25 [41152/49812]	Loss: 0.7622	LR: 0.020000
Training Epoch: 25 [41216/49812]	Loss: 0.8093	LR: 0.020000
Training Epoch: 25 [41280/49812]	Loss: 0.8358	LR: 0.020000
Training Epoch: 25 [41344/49812]	Loss: 1.0000	LR: 0.020000
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Training Epoch: 25 [41472/49812]	Loss: 1.0871	LR: 0.020000
Training Epoch: 25 [41536/49812]	Loss: 0.5790	LR: 0.020000
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Training Epoch: 25 [41664/49812]	Loss: 0.8486	LR: 0.020000
Training Epoch: 25 [41728/49812]	Loss: 0.7983	LR: 0.020000
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Training Epoch: 25 [42112/49812]	Loss: 0.5509	LR: 0.020000
Training Epoch: 25 [42176/49812]	Loss: 0.7443	LR: 0.020000
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Training Epoch: 25 [42304/49812]	Loss: 0.7773	LR: 0.020000
Training Epoch: 25 [42368/49812]	Loss: 0.6741	LR: 0.020000
Training Epoch: 25 [42432/49812]	Loss: 0.7249	LR: 0.020000
Training Epoch: 25 [42496/49812]	Loss: 0.8148	LR: 0.020000
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Training Epoch: 25 [42624/49812]	Loss: 0.8542	LR: 0.020000
Training Epoch: 25 [42688/49812]	Loss: 1.0172	LR: 0.020000
Training Epoch: 25 [42752/49812]	Loss: 0.9686	LR: 0.020000
Training Epoch: 25 [42816/49812]	Loss: 1.0551	LR: 0.020000
Training Epoch: 25 [42880/49812]	Loss: 0.6614	LR: 0.020000
Training Epoch: 25 [42944/49812]	Loss: 0.7936	LR: 0.020000
Training Epoch: 25 [43008/49812]	Loss: 0.6529	LR: 0.020000
Training Epoch: 25 [43072/49812]	Loss: 0.8057	LR: 0.020000
Training Epoch: 25 [43136/49812]	Loss: 0.6208	LR: 0.020000
Training Epoch: 25 [43200/49812]	Loss: 0.8691	LR: 0.020000
Training Epoch: 25 [43264/49812]	Loss: 1.0275	LR: 0.020000
Training Epoch: 25 [43328/49812]	Loss: 0.6908	LR: 0.020000
Training Epoch: 25 [43392/49812]	Loss: 0.6795	LR: 0.020000
Training Epoch: 25 [43456/49812]	Loss: 0.7028	LR: 0.020000
Training Epoch: 25 [43520/49812]	Loss: 1.0726	LR: 0.020000
Training Epoch: 25 [43584/49812]	Loss: 0.7746	LR: 0.020000
Training Epoch: 25 [43648/49812]	Loss: 0.7513	LR: 0.020000
Training Epoch: 25 [43712/49812]	Loss: 0.9891	LR: 0.020000
Training Epoch: 25 [43776/49812]	Loss: 0.7045	LR: 0.020000
Training Epoch: 25 [43840/49812]	Loss: 1.1990	LR: 0.020000
Training Epoch: 25 [43904/49812]	Loss: 0.9123	LR: 0.020000
Training Epoch: 25 [43968/49812]	Loss: 0.8276	LR: 0.020000
Training Epoch: 25 [44032/49812]	Loss: 0.7781	LR: 0.020000
Training Epoch: 25 [44096/49812]	Loss: 0.7757	LR: 0.020000
Training Epoch: 25 [44160/49812]	Loss: 1.0774	LR: 0.020000
Training Epoch: 25 [44224/49812]	Loss: 0.6563	LR: 0.020000
Training Epoch: 25 [44288/49812]	Loss: 0.7827	LR: 0.020000
Training Epoch: 25 [44352/49812]	Loss: 1.0327	LR: 0.020000
Training Epoch: 25 [44416/49812]	Loss: 1.1471	LR: 0.020000
Training Epoch: 25 [44480/49812]	Loss: 0.6939	LR: 0.020000
Training Epoch: 25 [44544/49812]	Loss: 0.7783	LR: 0.020000
Training Epoch: 25 [44608/49812]	Loss: 0.7279	LR: 0.020000
Training Epoch: 25 [44672/49812]	Loss: 0.6913	LR: 0.020000
Training Epoch: 25 [44736/49812]	Loss: 0.8207	LR: 0.020000
Training Epoch: 25 [44800/49812]	Loss: 1.0502	LR: 0.020000
Training Epoch: 25 [44864/49812]	Loss: 0.7527	LR: 0.020000
Training Epoch: 25 [44928/49812]	Loss: 0.5684	LR: 0.020000
Training Epoch: 25 [44992/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 25 [45056/49812]	Loss: 0.9190	LR: 0.020000
Training Epoch: 25 [45120/49812]	Loss: 0.8566	LR: 0.020000
Training Epoch: 25 [45184/49812]	Loss: 0.4458	LR: 0.020000
Training Epoch: 25 [45248/49812]	Loss: 1.1177	LR: 0.020000
Training Epoch: 25 [45312/49812]	Loss: 0.5943	LR: 0.020000
Training Epoch: 25 [45376/49812]	Loss: 0.7896	LR: 0.020000
Training Epoch: 25 [45440/49812]	Loss: 0.8236	LR: 0.020000
Training Epoch: 25 [45504/49812]	Loss: 0.8107	LR: 0.020000
Training Epoch: 25 [45568/49812]	Loss: 0.9225	LR: 0.020000
Training Epoch: 25 [45632/49812]	Loss: 0.7346	LR: 0.020000
Training Epoch: 25 [45696/49812]	Loss: 1.1093	LR: 0.020000
Training Epoch: 25 [45760/49812]	Loss: 1.0045	LR: 0.020000
Training Epoch: 25 [45824/49812]	Loss: 0.8163	LR: 0.020000
Training Epoch: 25 [45888/49812]	Loss: 0.6339	LR: 0.020000
Training Epoch: 25 [45952/49812]	Loss: 0.5458	LR: 0.020000
Training Epoch: 25 [46016/49812]	Loss: 0.8487	LR: 0.020000
Training Epoch: 25 [46080/49812]	Loss: 0.5840	LR: 0.020000
Training Epoch: 25 [46144/49812]	Loss: 0.7179	LR: 0.020000
Training Epoch: 25 [46208/49812]	Loss: 0.9253	LR: 0.020000
Training Epoch: 25 [46272/49812]	Loss: 0.8581	LR: 0.020000
Training Epoch: 25 [46336/49812]	Loss: 0.7877	LR: 0.020000
Training Epoch: 25 [46400/49812]	Loss: 0.8023	LR: 0.020000
Training Epoch: 25 [46464/49812]	Loss: 0.7188	LR: 0.020000
Training Epoch: 25 [46528/49812]	Loss: 0.7371	LR: 0.020000
Training Epoch: 25 [46592/49812]	Loss: 1.0223	LR: 0.020000
Training Epoch: 25 [46656/49812]	Loss: 0.5619	LR: 0.020000
Training Epoch: 25 [46720/49812]	Loss: 0.7031	LR: 0.020000
Training Epoch: 25 [46784/49812]	Loss: 0.7501	LR: 0.020000
Training Epoch: 25 [46848/49812]	Loss: 1.0374	LR: 0.020000
Training Epoch: 25 [46912/49812]	Loss: 0.9114	LR: 0.020000
Training Epoch: 25 [46976/49812]	Loss: 1.1126	LR: 0.020000
Training Epoch: 25 [47040/49812]	Loss: 0.8463	LR: 0.020000
Training Epoch: 25 [47104/49812]	Loss: 0.7136	LR: 0.020000
Training Epoch: 25 [47168/49812]	Loss: 0.8990	LR: 0.020000
Training Epoch: 25 [47232/49812]	Loss: 0.8931	LR: 0.020000
Training Epoch: 25 [47296/49812]	Loss: 0.8969	LR: 0.020000
Training Epoch: 25 [47360/49812]	Loss: 0.9335	LR: 0.020000
Training Epoch: 25 [47424/49812]	Loss: 0.6600	LR: 0.020000
Training Epoch: 25 [47488/49812]	Loss: 0.7017	LR: 0.020000
Training Epoch: 25 [47552/49812]	Loss: 0.7601	LR: 0.020000
Training Epoch: 25 [47616/49812]	Loss: 0.8169	LR: 0.020000
Training Epoch: 25 [47680/49812]	Loss: 0.8421	LR: 0.020000
Training Epoch: 25 [47744/49812]	Loss: 0.8720	LR: 0.020000
Training Epoch: 25 [47808/49812]	Loss: 0.8627	LR: 0.020000
Training Epoch: 25 [47872/49812]	Loss: 1.0130	LR: 0.020000
Training Epoch: 25 [47936/49812]	Loss: 0.9017	LR: 0.020000
Training Epoch: 25 [48000/49812]	Loss: 0.6828	LR: 0.020000
Training Epoch: 25 [48064/49812]	Loss: 0.8065	LR: 0.020000
Training Epoch: 25 [48128/49812]	Loss: 0.9334	LR: 0.020000
Training Epoch: 25 [48192/49812]	Loss: 0.8793	LR: 0.020000
Training Epoch: 25 [48256/49812]	Loss: 0.9153	LR: 0.020000
Training Epoch: 25 [48320/49812]	Loss: 1.2070	LR: 0.020000
Training Epoch: 25 [48384/49812]	Loss: 0.9873	LR: 0.020000
Training Epoch: 25 [48448/49812]	Loss: 0.8036	LR: 0.020000
Training Epoch: 25 [48512/49812]	Loss: 0.8855	LR: 0.020000
Training Epoch: 25 [48576/49812]	Loss: 1.1460	LR: 0.020000
Training Epoch: 25 [48640/49812]	Loss: 1.1371	LR: 0.020000
Training Epoch: 25 [48704/49812]	Loss: 0.7806	LR: 0.020000
Training Epoch: 25 [48768/49812]	Loss: 1.0264	LR: 0.020000
Training Epoch: 25 [48832/49812]	Loss: 0.7446	LR: 0.020000
Training Epoch: 25 [48896/49812]	Loss: 1.0618	LR: 0.020000
Training Epoch: 25 [48960/49812]	Loss: 0.7801	LR: 0.020000
Training Epoch: 25 [49024/49812]	Loss: 1.0590	LR: 0.020000
Training Epoch: 25 [49088/49812]	Loss: 0.7777	LR: 0.020000
Training Epoch: 25 [49152/49812]	Loss: 0.7369	LR: 0.020000
Training Epoch: 25 [49216/49812]	Loss: 0.8956	LR: 0.020000
Training Epoch: 25 [49280/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 25 [49344/49812]	Loss: 0.7831	LR: 0.020000
Training Epoch: 25 [49408/49812]	Loss: 0.9549	LR: 0.020000
Training Epoch: 25 [49472/49812]	Loss: 0.8659	LR: 0.020000
Training Epoch: 25 [49536/49812]	Loss: 0.9136	LR: 0.020000
Training Epoch: 25 [49600/49812]	Loss: 0.7815	LR: 0.020000
Training Epoch: 25 [49664/49812]	Loss: 0.6864	LR: 0.020000
Training Epoch: 25 [49728/49812]	Loss: 1.0253	LR: 0.020000
Training Epoch: 25 [49792/49812]	Loss: 0.8544	LR: 0.020000
Training Epoch: 25 [49812/49812]	Loss: 1.1754	LR: 0.020000
Epoch 25 - Average Train Loss: 0.8262, Train Accuracy: 0.7353
Epoch 25 training time consumed: 261.54s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0174, Accuracy: 0.6695, Time consumed:16.77s
Training Epoch: 26 [64/49812]	Loss: 0.7288	LR: 0.020000
Training Epoch: 26 [128/49812]	Loss: 0.8052	LR: 0.020000
Training Epoch: 26 [192/49812]	Loss: 0.8229	LR: 0.020000
Training Epoch: 26 [256/49812]	Loss: 0.8438	LR: 0.020000
Training Epoch: 26 [320/49812]	Loss: 0.6550	LR: 0.020000
Training Epoch: 26 [384/49812]	Loss: 0.8447	LR: 0.020000
Training Epoch: 26 [448/49812]	Loss: 0.7156	LR: 0.020000
Training Epoch: 26 [512/49812]	Loss: 0.6503	LR: 0.020000
Training Epoch: 26 [576/49812]	Loss: 0.7705	LR: 0.020000
Training Epoch: 26 [640/49812]	Loss: 0.5847	LR: 0.020000
Training Epoch: 26 [704/49812]	Loss: 0.8080	LR: 0.020000
Training Epoch: 26 [768/49812]	Loss: 1.0858	LR: 0.020000
Training Epoch: 26 [832/49812]	Loss: 0.8349	LR: 0.020000
Training Epoch: 26 [896/49812]	Loss: 0.8555	LR: 0.020000
Training Epoch: 26 [960/49812]	Loss: 0.9218	LR: 0.020000
Training Epoch: 26 [1024/49812]	Loss: 0.7649	LR: 0.020000
Training Epoch: 26 [1088/49812]	Loss: 0.6866	LR: 0.020000
Training Epoch: 26 [1152/49812]	Loss: 1.3384	LR: 0.020000
Training Epoch: 26 [1216/49812]	Loss: 0.6726	LR: 0.020000
Training Epoch: 26 [1280/49812]	Loss: 0.7665	LR: 0.020000
Training Epoch: 26 [1344/49812]	Loss: 0.7882	LR: 0.020000
Training Epoch: 26 [1408/49812]	Loss: 0.8812	LR: 0.020000
Training Epoch: 26 [1472/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 26 [1536/49812]	Loss: 0.5868	LR: 0.020000
Training Epoch: 26 [1600/49812]	Loss: 1.0779	LR: 0.020000
Training Epoch: 26 [1664/49812]	Loss: 0.8898	LR: 0.020000
Training Epoch: 26 [1728/49812]	Loss: 0.8024	LR: 0.020000
Training Epoch: 26 [1792/49812]	Loss: 0.8731	LR: 0.020000
Training Epoch: 26 [1856/49812]	Loss: 1.1047	LR: 0.020000
Training Epoch: 26 [1920/49812]	Loss: 1.0324	LR: 0.020000
Training Epoch: 26 [1984/49812]	Loss: 0.9463	LR: 0.020000
Training Epoch: 26 [2048/49812]	Loss: 0.7272	LR: 0.020000
Training Epoch: 26 [2112/49812]	Loss: 0.6977	LR: 0.020000
Training Epoch: 26 [2176/49812]	Loss: 0.8200	LR: 0.020000
Training Epoch: 26 [2240/49812]	Loss: 0.6482	LR: 0.020000
Training Epoch: 26 [2304/49812]	Loss: 0.7938	LR: 0.020000
Training Epoch: 26 [2368/49812]	Loss: 0.7532	LR: 0.020000
Training Epoch: 26 [2432/49812]	Loss: 0.8222	LR: 0.020000
Training Epoch: 26 [2496/49812]	Loss: 0.6069	LR: 0.020000
Training Epoch: 26 [2560/49812]	Loss: 0.7678	LR: 0.020000
Training Epoch: 26 [2624/49812]	Loss: 0.6713	LR: 0.020000
Training Epoch: 26 [2688/49812]	Loss: 0.8585	LR: 0.020000
Training Epoch: 26 [2752/49812]	Loss: 0.8057	LR: 0.020000
Training Epoch: 26 [2816/49812]	Loss: 0.8371	LR: 0.020000
Training Epoch: 26 [2880/49812]	Loss: 0.9485	LR: 0.020000
Training Epoch: 26 [2944/49812]	Loss: 0.9103	LR: 0.020000
Training Epoch: 26 [3008/49812]	Loss: 0.6492	LR: 0.020000
Training Epoch: 26 [3072/49812]	Loss: 0.6935	LR: 0.020000
Training Epoch: 26 [3136/49812]	Loss: 0.6069	LR: 0.020000
Training Epoch: 26 [3200/49812]	Loss: 0.8872	LR: 0.020000
Training Epoch: 26 [3264/49812]	Loss: 0.7744	LR: 0.020000
Training Epoch: 26 [3328/49812]	Loss: 0.5981	LR: 0.020000
Training Epoch: 26 [3392/49812]	Loss: 0.7926	LR: 0.020000
Training Epoch: 26 [3456/49812]	Loss: 0.6343	LR: 0.020000
Training Epoch: 26 [3520/49812]	Loss: 0.6844	LR: 0.020000
Training Epoch: 26 [3584/49812]	Loss: 0.6539	LR: 0.020000
Training Epoch: 26 [3648/49812]	Loss: 0.5654	LR: 0.020000
Training Epoch: 26 [3712/49812]	Loss: 0.9861	LR: 0.020000
Training Epoch: 26 [3776/49812]	Loss: 0.7321	LR: 0.020000
Training Epoch: 26 [3840/49812]	Loss: 0.9011	LR: 0.020000
Training Epoch: 26 [3904/49812]	Loss: 0.7632	LR: 0.020000
Training Epoch: 26 [3968/49812]	Loss: 0.6799	LR: 0.020000
Training Epoch: 26 [4032/49812]	Loss: 0.7971	LR: 0.020000
Training Epoch: 26 [4096/49812]	Loss: 0.6223	LR: 0.020000
Training Epoch: 26 [4160/49812]	Loss: 0.6648	LR: 0.020000
Training Epoch: 26 [4224/49812]	Loss: 0.6998	LR: 0.020000
Training Epoch: 26 [4288/49812]	Loss: 0.5187	LR: 0.020000
Training Epoch: 26 [4352/49812]	Loss: 0.7913	LR: 0.020000
Training Epoch: 26 [4416/49812]	Loss: 0.5058	LR: 0.020000
Training Epoch: 26 [4480/49812]	Loss: 0.6861	LR: 0.020000
Training Epoch: 26 [4544/49812]	Loss: 0.7503	LR: 0.020000
Training Epoch: 26 [4608/49812]	Loss: 0.7149	LR: 0.020000
Training Epoch: 26 [4672/49812]	Loss: 0.8753	LR: 0.020000
Training Epoch: 26 [4736/49812]	Loss: 1.0957	LR: 0.020000
Training Epoch: 26 [4800/49812]	Loss: 0.6650	LR: 0.020000
Training Epoch: 26 [4864/49812]	Loss: 0.7094	LR: 0.020000
Training Epoch: 26 [4928/49812]	Loss: 0.5802	LR: 0.020000
Training Epoch: 26 [4992/49812]	Loss: 0.9401	LR: 0.020000
Training Epoch: 26 [5056/49812]	Loss: 0.7805	LR: 0.020000
Training Epoch: 26 [5120/49812]	Loss: 0.7432	LR: 0.020000
Training Epoch: 26 [5184/49812]	Loss: 0.5374	LR: 0.020000
Training Epoch: 26 [5248/49812]	Loss: 0.7394	LR: 0.020000
Training Epoch: 26 [5312/49812]	Loss: 0.9452	LR: 0.020000
Training Epoch: 26 [5376/49812]	Loss: 0.7987	LR: 0.020000
Training Epoch: 26 [5440/49812]	Loss: 0.8017	LR: 0.020000
Training Epoch: 26 [5504/49812]	Loss: 0.9458	LR: 0.020000
Training Epoch: 26 [5568/49812]	Loss: 0.9758	LR: 0.020000
Training Epoch: 26 [5632/49812]	Loss: 0.8240	LR: 0.020000
Training Epoch: 26 [5696/49812]	Loss: 0.8185	LR: 0.020000
Training Epoch: 26 [5760/49812]	Loss: 0.8408	LR: 0.020000
Training Epoch: 26 [5824/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 26 [5888/49812]	Loss: 0.7823	LR: 0.020000
Training Epoch: 26 [5952/49812]	Loss: 0.7743	LR: 0.020000
Training Epoch: 26 [6016/49812]	Loss: 0.7997	LR: 0.020000
Training Epoch: 26 [6080/49812]	Loss: 0.6729	LR: 0.020000
Training Epoch: 26 [6144/49812]	Loss: 0.7341	LR: 0.020000
Training Epoch: 26 [6208/49812]	Loss: 0.6634	LR: 0.020000
Training Epoch: 26 [6272/49812]	Loss: 0.7324	LR: 0.020000
Training Epoch: 26 [6336/49812]	Loss: 0.6741	LR: 0.020000
Training Epoch: 26 [6400/49812]	Loss: 0.7312	LR: 0.020000
Training Epoch: 26 [6464/49812]	Loss: 1.1232	LR: 0.020000
Training Epoch: 26 [6528/49812]	Loss: 0.7721	LR: 0.020000
Training Epoch: 26 [6592/49812]	Loss: 1.1651	LR: 0.020000
Training Epoch: 26 [6656/49812]	Loss: 0.7007	LR: 0.020000
Training Epoch: 26 [6720/49812]	Loss: 0.6863	LR: 0.020000
Training Epoch: 26 [6784/49812]	Loss: 0.5639	LR: 0.020000
Training Epoch: 26 [6848/49812]	Loss: 0.8431	LR: 0.020000
Training Epoch: 26 [6912/49812]	Loss: 0.6939	LR: 0.020000
Training Epoch: 26 [6976/49812]	Loss: 0.7917	LR: 0.020000
Training Epoch: 26 [7040/49812]	Loss: 0.7100	LR: 0.020000
Training Epoch: 26 [7104/49812]	Loss: 0.5586	LR: 0.020000
Training Epoch: 26 [7168/49812]	Loss: 0.8551	LR: 0.020000
Training Epoch: 26 [7232/49812]	Loss: 0.7641	LR: 0.020000
Training Epoch: 26 [7296/49812]	Loss: 0.7802	LR: 0.020000
Training Epoch: 26 [7360/49812]	Loss: 0.9111	LR: 0.020000
Training Epoch: 26 [7424/49812]	Loss: 0.7047	LR: 0.020000
Training Epoch: 26 [7488/49812]	Loss: 0.6778	LR: 0.020000
Training Epoch: 26 [7552/49812]	Loss: 0.7431	LR: 0.020000
Training Epoch: 26 [7616/49812]	Loss: 0.9654	LR: 0.020000
Training Epoch: 26 [7680/49812]	Loss: 0.4975	LR: 0.020000
Training Epoch: 26 [7744/49812]	Loss: 0.6865	LR: 0.020000
Training Epoch: 26 [7808/49812]	Loss: 0.9264	LR: 0.020000
Training Epoch: 26 [7872/49812]	Loss: 1.2326	LR: 0.020000
Training Epoch: 26 [7936/49812]	Loss: 0.8149	LR: 0.020000
Training Epoch: 26 [8000/49812]	Loss: 0.6487	LR: 0.020000
Training Epoch: 26 [8064/49812]	Loss: 0.6502	LR: 0.020000
Training Epoch: 26 [8128/49812]	Loss: 0.5930	LR: 0.020000
Training Epoch: 26 [8192/49812]	Loss: 0.9675	LR: 0.020000
Training Epoch: 26 [8256/49812]	Loss: 0.6271	LR: 0.020000
Training Epoch: 26 [8320/49812]	Loss: 0.8560	LR: 0.020000
Training Epoch: 26 [8384/49812]	Loss: 1.0179	LR: 0.020000
Training Epoch: 26 [8448/49812]	Loss: 0.8314	LR: 0.020000
Training Epoch: 26 [8512/49812]	Loss: 0.6907	LR: 0.020000
Training Epoch: 26 [8576/49812]	Loss: 0.9970	LR: 0.020000
Training Epoch: 26 [8640/49812]	Loss: 0.9741	LR: 0.020000
Training Epoch: 26 [8704/49812]	Loss: 0.8946	LR: 0.020000
Training Epoch: 26 [8768/49812]	Loss: 0.8242	LR: 0.020000
Training Epoch: 26 [8832/49812]	Loss: 0.7370	LR: 0.020000
Training Epoch: 26 [8896/49812]	Loss: 0.6498	LR: 0.020000
Training Epoch: 26 [8960/49812]	Loss: 0.5924	LR: 0.020000
Training Epoch: 26 [9024/49812]	Loss: 0.6430	LR: 0.020000
Training Epoch: 26 [9088/49812]	Loss: 0.7567	LR: 0.020000
Training Epoch: 26 [9152/49812]	Loss: 0.8272	LR: 0.020000
Training Epoch: 26 [9216/49812]	Loss: 0.6929	LR: 0.020000
Training Epoch: 26 [9280/49812]	Loss: 0.5964	LR: 0.020000
Training Epoch: 26 [9344/49812]	Loss: 0.7098	LR: 0.020000
Training Epoch: 26 [9408/49812]	Loss: 0.6034	LR: 0.020000
Training Epoch: 26 [9472/49812]	Loss: 0.6437	LR: 0.020000
Training Epoch: 26 [9536/49812]	Loss: 0.7108	LR: 0.020000
Training Epoch: 26 [9600/49812]	Loss: 0.9898	LR: 0.020000
Training Epoch: 26 [9664/49812]	Loss: 0.6288	LR: 0.020000
Training Epoch: 26 [9728/49812]	Loss: 0.8414	LR: 0.020000
Training Epoch: 26 [9792/49812]	Loss: 0.6932	LR: 0.020000
Training Epoch: 26 [9856/49812]	Loss: 0.7879	LR: 0.020000
Training Epoch: 26 [9920/49812]	Loss: 0.7982	LR: 0.020000
Training Epoch: 26 [9984/49812]	Loss: 0.9765	LR: 0.020000
Training Epoch: 26 [10048/49812]	Loss: 0.7857	LR: 0.020000
Training Epoch: 26 [10112/49812]	Loss: 0.8189	LR: 0.020000
Training Epoch: 26 [10176/49812]	Loss: 0.6540	LR: 0.020000
Training Epoch: 26 [10240/49812]	Loss: 0.7867	LR: 0.020000
Training Epoch: 26 [10304/49812]	Loss: 0.9071	LR: 0.020000
Training Epoch: 26 [10368/49812]	Loss: 0.7158	LR: 0.020000
Training Epoch: 26 [10432/49812]	Loss: 0.7800	LR: 0.020000
Training Epoch: 26 [10496/49812]	Loss: 0.8779	LR: 0.020000
Training Epoch: 26 [10560/49812]	Loss: 0.8167	LR: 0.020000
Training Epoch: 26 [10624/49812]	Loss: 0.9145	LR: 0.020000
Training Epoch: 26 [10688/49812]	Loss: 0.9505	LR: 0.020000
Training Epoch: 26 [10752/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 26 [10816/49812]	Loss: 0.6809	LR: 0.020000
Training Epoch: 26 [10880/49812]	Loss: 0.9697	LR: 0.020000
Training Epoch: 26 [10944/49812]	Loss: 0.7584	LR: 0.020000
Training Epoch: 26 [11008/49812]	Loss: 0.7924	LR: 0.020000
Training Epoch: 26 [11072/49812]	Loss: 0.9302	LR: 0.020000
Training Epoch: 26 [11136/49812]	Loss: 1.1024	LR: 0.020000
Training Epoch: 26 [11200/49812]	Loss: 0.7654	LR: 0.020000
Training Epoch: 26 [11264/49812]	Loss: 0.8755	LR: 0.020000
Training Epoch: 26 [11328/49812]	Loss: 0.8091	LR: 0.020000
Training Epoch: 26 [11392/49812]	Loss: 0.8015	LR: 0.020000
Training Epoch: 26 [11456/49812]	Loss: 0.5646	LR: 0.020000
Training Epoch: 26 [11520/49812]	Loss: 1.0887	LR: 0.020000
Training Epoch: 26 [11584/49812]	Loss: 0.7751	LR: 0.020000
Training Epoch: 26 [11648/49812]	Loss: 0.8213	LR: 0.020000
Training Epoch: 26 [11712/49812]	Loss: 0.8509	LR: 0.020000
Training Epoch: 26 [11776/49812]	Loss: 0.9199	LR: 0.020000
Training Epoch: 26 [11840/49812]	Loss: 0.7833	LR: 0.020000
Training Epoch: 26 [11904/49812]	Loss: 0.7326	LR: 0.020000
Training Epoch: 26 [11968/49812]	Loss: 0.7409	LR: 0.020000
Training Epoch: 26 [12032/49812]	Loss: 0.8136	LR: 0.020000
Training Epoch: 26 [12096/49812]	Loss: 0.5325	LR: 0.020000
Training Epoch: 26 [12160/49812]	Loss: 1.0171	LR: 0.020000
Training Epoch: 26 [12224/49812]	Loss: 0.6725	LR: 0.020000
Training Epoch: 26 [12288/49812]	Loss: 0.8491	LR: 0.020000
Training Epoch: 26 [12352/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 26 [12416/49812]	Loss: 0.8880	LR: 0.020000
Training Epoch: 26 [12480/49812]	Loss: 0.6780	LR: 0.020000
Training Epoch: 26 [12544/49812]	Loss: 0.7736	LR: 0.020000
Training Epoch: 26 [12608/49812]	Loss: 0.8607	LR: 0.020000
Training Epoch: 26 [12672/49812]	Loss: 0.7913	LR: 0.020000
Training Epoch: 26 [12736/49812]	Loss: 0.6842	LR: 0.020000
Training Epoch: 26 [12800/49812]	Loss: 0.6856	LR: 0.020000
Training Epoch: 26 [12864/49812]	Loss: 0.6449	LR: 0.020000
Training Epoch: 26 [12928/49812]	Loss: 0.8905	LR: 0.020000
Training Epoch: 26 [12992/49812]	Loss: 0.6435	LR: 0.020000
Training Epoch: 26 [13056/49812]	Loss: 0.8417	LR: 0.020000
Training Epoch: 26 [13120/49812]	Loss: 0.7210	LR: 0.020000
Training Epoch: 26 [13184/49812]	Loss: 0.8316	LR: 0.020000
Training Epoch: 26 [13248/49812]	Loss: 0.7468	LR: 0.020000
Training Epoch: 26 [13312/49812]	Loss: 0.7529	LR: 0.020000
Training Epoch: 26 [13376/49812]	Loss: 0.6253	LR: 0.020000
Training Epoch: 26 [13440/49812]	Loss: 0.8933	LR: 0.020000
Training Epoch: 26 [13504/49812]	Loss: 0.9767	LR: 0.020000
Training Epoch: 26 [13568/49812]	Loss: 0.9995	LR: 0.020000
Training Epoch: 26 [13632/49812]	Loss: 0.6841	LR: 0.020000
Training Epoch: 26 [13696/49812]	Loss: 0.6739	LR: 0.020000
Training Epoch: 26 [13760/49812]	Loss: 0.8217	LR: 0.020000
Training Epoch: 26 [13824/49812]	Loss: 0.6820	LR: 0.020000
Training Epoch: 26 [13888/49812]	Loss: 0.7786	LR: 0.020000
Training Epoch: 26 [13952/49812]	Loss: 0.8541	LR: 0.020000
Training Epoch: 26 [14016/49812]	Loss: 1.0292	LR: 0.020000
Training Epoch: 26 [14080/49812]	Loss: 1.0750	LR: 0.020000
Training Epoch: 26 [14144/49812]	Loss: 0.7187	LR: 0.020000
Training Epoch: 26 [14208/49812]	Loss: 0.6726	LR: 0.020000
Training Epoch: 26 [14272/49812]	Loss: 0.9846	LR: 0.020000
Training Epoch: 26 [14336/49812]	Loss: 0.6872	LR: 0.020000
Training Epoch: 26 [14400/49812]	Loss: 0.6715	LR: 0.020000
Training Epoch: 26 [14464/49812]	Loss: 0.5301	LR: 0.020000
Training Epoch: 26 [14528/49812]	Loss: 0.9800	LR: 0.020000
Training Epoch: 26 [14592/49812]	Loss: 0.8198	LR: 0.020000
Training Epoch: 26 [14656/49812]	Loss: 0.8081	LR: 0.020000
Training Epoch: 26 [14720/49812]	Loss: 1.0080	LR: 0.020000
Training Epoch: 26 [14784/49812]	Loss: 0.6851	LR: 0.020000
Training Epoch: 26 [14848/49812]	Loss: 0.7208	LR: 0.020000
Training Epoch: 26 [14912/49812]	Loss: 0.6540	LR: 0.020000
Training Epoch: 26 [14976/49812]	Loss: 0.7328	LR: 0.020000
Training Epoch: 26 [15040/49812]	Loss: 0.6617	LR: 0.020000
Training Epoch: 26 [15104/49812]	Loss: 0.6298	LR: 0.020000
Training Epoch: 26 [15168/49812]	Loss: 0.9332	LR: 0.020000
Training Epoch: 26 [15232/49812]	Loss: 0.7619	LR: 0.020000
Training Epoch: 26 [15296/49812]	Loss: 0.8394	LR: 0.020000
Training Epoch: 26 [15360/49812]	Loss: 0.8670	LR: 0.020000
Training Epoch: 26 [15424/49812]	Loss: 0.7068	LR: 0.020000
Training Epoch: 26 [15488/49812]	Loss: 1.1333	LR: 0.020000
Training Epoch: 26 [15552/49812]	Loss: 0.7681	LR: 0.020000
Training Epoch: 26 [15616/49812]	Loss: 0.8174	LR: 0.020000
Training Epoch: 26 [15680/49812]	Loss: 0.6772	LR: 0.020000
Training Epoch: 26 [15744/49812]	Loss: 0.9244	LR: 0.020000
Training Epoch: 26 [15808/49812]	Loss: 0.8329	LR: 0.020000
Training Epoch: 26 [15872/49812]	Loss: 0.6158	LR: 0.020000
Training Epoch: 26 [15936/49812]	Loss: 0.6342	LR: 0.020000
Training Epoch: 26 [16000/49812]	Loss: 0.9695	LR: 0.020000
Training Epoch: 26 [16064/49812]	Loss: 0.8917	LR: 0.020000
Training Epoch: 26 [16128/49812]	Loss: 0.8391	LR: 0.020000
Training Epoch: 26 [16192/49812]	Loss: 0.8488	LR: 0.020000
Training Epoch: 26 [16256/49812]	Loss: 0.7397	LR: 0.020000
Training Epoch: 26 [16320/49812]	Loss: 0.9424	LR: 0.020000
Training Epoch: 26 [16384/49812]	Loss: 0.8060	LR: 0.020000
Training Epoch: 26 [16448/49812]	Loss: 0.8923	LR: 0.020000
Training Epoch: 26 [16512/49812]	Loss: 0.9132	LR: 0.020000
Training Epoch: 26 [16576/49812]	Loss: 1.1174	LR: 0.020000
Training Epoch: 26 [16640/49812]	Loss: 0.9526	LR: 0.020000
Training Epoch: 26 [16704/49812]	Loss: 0.8993	LR: 0.020000
Training Epoch: 26 [16768/49812]	Loss: 0.7694	LR: 0.020000
Training Epoch: 26 [16832/49812]	Loss: 0.7250	LR: 0.020000
Training Epoch: 26 [16896/49812]	Loss: 0.6275	LR: 0.020000
Training Epoch: 26 [16960/49812]	Loss: 0.8292	LR: 0.020000
Training Epoch: 26 [17024/49812]	Loss: 0.6998	LR: 0.020000
Training Epoch: 26 [17088/49812]	Loss: 0.9969	LR: 0.020000
Training Epoch: 26 [17152/49812]	Loss: 0.6627	LR: 0.020000
Training Epoch: 26 [17216/49812]	Loss: 0.5162	LR: 0.020000
Training Epoch: 26 [17280/49812]	Loss: 0.6139	LR: 0.020000
Training Epoch: 26 [17344/49812]	Loss: 0.7416	LR: 0.020000
Training Epoch: 26 [17408/49812]	Loss: 0.8293	LR: 0.020000
Training Epoch: 26 [17472/49812]	Loss: 1.0652	LR: 0.020000
Training Epoch: 26 [17536/49812]	Loss: 0.8741	LR: 0.020000
Training Epoch: 26 [17600/49812]	Loss: 0.7232	LR: 0.020000
Training Epoch: 26 [17664/49812]	Loss: 0.8241	LR: 0.020000
Training Epoch: 26 [17728/49812]	Loss: 1.0332	LR: 0.020000
Training Epoch: 26 [17792/49812]	Loss: 0.6981	LR: 0.020000
Training Epoch: 26 [17856/49812]	Loss: 0.6251	LR: 0.020000
Training Epoch: 26 [17920/49812]	Loss: 0.8360	LR: 0.020000
Training Epoch: 26 [17984/49812]	Loss: 0.7170	LR: 0.020000
Training Epoch: 26 [18048/49812]	Loss: 0.8647	LR: 0.020000
Training Epoch: 26 [18112/49812]	Loss: 0.7672	LR: 0.020000
Training Epoch: 26 [18176/49812]	Loss: 0.8557	LR: 0.020000
Training Epoch: 26 [18240/49812]	Loss: 0.7744	LR: 0.020000
Training Epoch: 26 [18304/49812]	Loss: 0.8572	LR: 0.020000
Training Epoch: 26 [18368/49812]	Loss: 0.5747	LR: 0.020000
Training Epoch: 26 [18432/49812]	Loss: 0.8816	LR: 0.020000
Training Epoch: 26 [18496/49812]	Loss: 0.8716	LR: 0.020000
Training Epoch: 26 [18560/49812]	Loss: 0.6576	LR: 0.020000
Training Epoch: 26 [18624/49812]	Loss: 0.6311	LR: 0.020000
Training Epoch: 26 [18688/49812]	Loss: 0.8908	LR: 0.020000
Training Epoch: 26 [18752/49812]	Loss: 1.0691	LR: 0.020000
Training Epoch: 26 [18816/49812]	Loss: 0.8738	LR: 0.020000
Training Epoch: 26 [18880/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 26 [18944/49812]	Loss: 0.4962	LR: 0.020000
Training Epoch: 26 [19008/49812]	Loss: 0.7617	LR: 0.020000
Training Epoch: 26 [19072/49812]	Loss: 0.7787	LR: 0.020000
Training Epoch: 26 [19136/49812]	Loss: 0.7949	LR: 0.020000
Training Epoch: 26 [19200/49812]	Loss: 0.5979	LR: 0.020000
Training Epoch: 26 [19264/49812]	Loss: 0.7911	LR: 0.020000
Training Epoch: 26 [19328/49812]	Loss: 0.8572	LR: 0.020000
Training Epoch: 26 [19392/49812]	Loss: 0.7330	LR: 0.020000
Training Epoch: 26 [19456/49812]	Loss: 0.8284	LR: 0.020000
Training Epoch: 26 [19520/49812]	Loss: 0.7916	LR: 0.020000
Training Epoch: 26 [19584/49812]	Loss: 0.8639	LR: 0.020000
Training Epoch: 26 [19648/49812]	Loss: 0.9309	LR: 0.020000
Training Epoch: 26 [19712/49812]	Loss: 0.7929	LR: 0.020000
Training Epoch: 26 [19776/49812]	Loss: 0.9385	LR: 0.020000
Training Epoch: 26 [19840/49812]	Loss: 0.8921	LR: 0.020000
Training Epoch: 26 [19904/49812]	Loss: 0.6320	LR: 0.020000
Training Epoch: 26 [19968/49812]	Loss: 0.9010	LR: 0.020000
Training Epoch: 26 [20032/49812]	Loss: 1.0141	LR: 0.020000
Training Epoch: 26 [20096/49812]	Loss: 0.7559	LR: 0.020000
Training Epoch: 26 [20160/49812]	Loss: 0.8070	LR: 0.020000
Training Epoch: 26 [20224/49812]	Loss: 0.9401	LR: 0.020000
Training Epoch: 26 [20288/49812]	Loss: 0.9075	LR: 0.020000
Training Epoch: 26 [20352/49812]	Loss: 0.7236	LR: 0.020000
Training Epoch: 26 [20416/49812]	Loss: 0.8979	LR: 0.020000
Training Epoch: 26 [20480/49812]	Loss: 1.0589	LR: 0.020000
Training Epoch: 26 [20544/49812]	Loss: 0.6139	LR: 0.020000
Training Epoch: 26 [20608/49812]	Loss: 0.6160	LR: 0.020000
Training Epoch: 26 [20672/49812]	Loss: 0.5968	LR: 0.020000
Training Epoch: 26 [20736/49812]	Loss: 0.8193	LR: 0.020000
Training Epoch: 26 [20800/49812]	Loss: 0.7863	LR: 0.020000
Training Epoch: 26 [20864/49812]	Loss: 0.9039	LR: 0.020000
Training Epoch: 26 [20928/49812]	Loss: 0.9180	LR: 0.020000
Training Epoch: 26 [20992/49812]	Loss: 0.7821	LR: 0.020000
Training Epoch: 26 [21056/49812]	Loss: 1.2231	LR: 0.020000
Training Epoch: 26 [21120/49812]	Loss: 0.8031	LR: 0.020000
Training Epoch: 26 [21184/49812]	Loss: 0.8122	LR: 0.020000
Training Epoch: 26 [21248/49812]	Loss: 0.8753	LR: 0.020000
Training Epoch: 26 [21312/49812]	Loss: 0.8567	LR: 0.020000
Training Epoch: 26 [21376/49812]	Loss: 1.0112	LR: 0.020000
Training Epoch: 26 [21440/49812]	Loss: 0.6044	LR: 0.020000
Training Epoch: 26 [21504/49812]	Loss: 0.7607	LR: 0.020000
Training Epoch: 26 [21568/49812]	Loss: 0.7143	LR: 0.020000
Training Epoch: 26 [21632/49812]	Loss: 0.7281	LR: 0.020000
Training Epoch: 26 [21696/49812]	Loss: 0.8313	LR: 0.020000
Training Epoch: 26 [21760/49812]	Loss: 0.8278	LR: 0.020000
Training Epoch: 26 [21824/49812]	Loss: 0.6735	LR: 0.020000
Training Epoch: 26 [21888/49812]	Loss: 0.8558	LR: 0.020000
Training Epoch: 26 [21952/49812]	Loss: 0.8219	LR: 0.020000
Training Epoch: 26 [22016/49812]	Loss: 0.7605	LR: 0.020000
Training Epoch: 26 [22080/49812]	Loss: 0.8546	LR: 0.020000
Training Epoch: 26 [22144/49812]	Loss: 0.7467	LR: 0.020000
Training Epoch: 26 [22208/49812]	Loss: 0.6874	LR: 0.020000
Training Epoch: 26 [22272/49812]	Loss: 0.6035	LR: 0.020000
Training Epoch: 26 [22336/49812]	Loss: 0.8507	LR: 0.020000
Training Epoch: 26 [22400/49812]	Loss: 0.7448	LR: 0.020000
Training Epoch: 26 [22464/49812]	Loss: 0.9127	LR: 0.020000
Training Epoch: 26 [22528/49812]	Loss: 0.8183	LR: 0.020000
Training Epoch: 26 [22592/49812]	Loss: 0.5992	LR: 0.020000
Training Epoch: 26 [22656/49812]	Loss: 0.8125	LR: 0.020000
Training Epoch: 26 [22720/49812]	Loss: 1.0697	LR: 0.020000
Training Epoch: 26 [22784/49812]	Loss: 0.9163	LR: 0.020000
Training Epoch: 26 [22848/49812]	Loss: 0.9169	LR: 0.020000
Training Epoch: 26 [22912/49812]	Loss: 0.7827	LR: 0.020000
Training Epoch: 26 [22976/49812]	Loss: 0.5710	LR: 0.020000
Training Epoch: 26 [23040/49812]	Loss: 0.8580	LR: 0.020000
Training Epoch: 26 [23104/49812]	Loss: 1.1119	LR: 0.020000
Training Epoch: 26 [23168/49812]	Loss: 0.7116	LR: 0.020000
Training Epoch: 26 [23232/49812]	Loss: 0.6542	LR: 0.020000
Training Epoch: 26 [23296/49812]	Loss: 0.9990	LR: 0.020000
Training Epoch: 26 [23360/49812]	Loss: 0.8018	LR: 0.020000
Training Epoch: 26 [23424/49812]	Loss: 0.6611	LR: 0.020000
Training Epoch: 26 [23488/49812]	Loss: 0.9045	LR: 0.020000
Training Epoch: 26 [23552/49812]	Loss: 0.9774	LR: 0.020000
Training Epoch: 26 [23616/49812]	Loss: 0.9793	LR: 0.020000
Training Epoch: 26 [23680/49812]	Loss: 0.9218	LR: 0.020000
Training Epoch: 26 [23744/49812]	Loss: 0.8674	LR: 0.020000
Training Epoch: 26 [23808/49812]	Loss: 0.9136	LR: 0.020000
Training Epoch: 26 [23872/49812]	Loss: 0.9069	LR: 0.020000
Training Epoch: 26 [23936/49812]	Loss: 0.7578	LR: 0.020000
Training Epoch: 26 [24000/49812]	Loss: 0.8124	LR: 0.020000
Training Epoch: 26 [24064/49812]	Loss: 0.9857	LR: 0.020000
Training Epoch: 26 [24128/49812]	Loss: 0.9062	LR: 0.020000
Training Epoch: 26 [24192/49812]	Loss: 1.0673	LR: 0.020000
Training Epoch: 26 [24256/49812]	Loss: 0.9277	LR: 0.020000
Training Epoch: 26 [24320/49812]	Loss: 1.2141	LR: 0.020000
Training Epoch: 26 [24384/49812]	Loss: 0.7223	LR: 0.020000
Training Epoch: 26 [24448/49812]	Loss: 0.9975	LR: 0.020000
Training Epoch: 26 [24512/49812]	Loss: 0.7060	LR: 0.020000
Training Epoch: 26 [24576/49812]	Loss: 0.6674	LR: 0.020000
Training Epoch: 26 [24640/49812]	Loss: 0.7375	LR: 0.020000
Training Epoch: 26 [24704/49812]	Loss: 0.6637	LR: 0.020000
Training Epoch: 26 [24768/49812]	Loss: 1.0781	LR: 0.020000
Training Epoch: 26 [24832/49812]	Loss: 0.8508	LR: 0.020000
Training Epoch: 26 [24896/49812]	Loss: 0.7055	LR: 0.020000
Training Epoch: 26 [24960/49812]	Loss: 1.0159	LR: 0.020000
Training Epoch: 26 [25024/49812]	Loss: 0.9645	LR: 0.020000
Training Epoch: 26 [25088/49812]	Loss: 0.7707	LR: 0.020000
Training Epoch: 26 [25152/49812]	Loss: 0.5722	LR: 0.020000
Training Epoch: 26 [25216/49812]	Loss: 0.9400	LR: 0.020000
Training Epoch: 26 [25280/49812]	Loss: 0.5735	LR: 0.020000
Training Epoch: 26 [25344/49812]	Loss: 0.9051	LR: 0.020000
Training Epoch: 26 [25408/49812]	Loss: 1.0763	LR: 0.020000
Training Epoch: 26 [25472/49812]	Loss: 0.8995	LR: 0.020000
Training Epoch: 26 [25536/49812]	Loss: 0.8697	LR: 0.020000
Training Epoch: 26 [25600/49812]	Loss: 0.9297	LR: 0.020000
Training Epoch: 26 [25664/49812]	Loss: 0.8873	LR: 0.020000
Training Epoch: 26 [25728/49812]	Loss: 0.8393	LR: 0.020000
Training Epoch: 26 [25792/49812]	Loss: 0.6411	LR: 0.020000
Training Epoch: 26 [25856/49812]	Loss: 0.9758	LR: 0.020000
Training Epoch: 26 [25920/49812]	Loss: 0.7596	LR: 0.020000
Training Epoch: 26 [25984/49812]	Loss: 1.1729	LR: 0.020000
Training Epoch: 26 [26048/49812]	Loss: 0.7454	LR: 0.020000
Training Epoch: 26 [26112/49812]	Loss: 0.7957	LR: 0.020000
Training Epoch: 26 [26176/49812]	Loss: 0.7254	LR: 0.020000
Training Epoch: 26 [26240/49812]	Loss: 0.9007	LR: 0.020000
Training Epoch: 26 [26304/49812]	Loss: 0.8266	LR: 0.020000
Training Epoch: 26 [26368/49812]	Loss: 0.7581	LR: 0.020000
Training Epoch: 26 [26432/49812]	Loss: 0.9324	LR: 0.020000
Training Epoch: 26 [26496/49812]	Loss: 0.8071	LR: 0.020000
Training Epoch: 26 [26560/49812]	Loss: 0.7242	LR: 0.020000
Training Epoch: 26 [26624/49812]	Loss: 0.7220	LR: 0.020000
Training Epoch: 26 [26688/49812]	Loss: 0.8321	LR: 0.020000
Training Epoch: 26 [26752/49812]	Loss: 0.8012	LR: 0.020000
Training Epoch: 26 [26816/49812]	Loss: 0.7097	LR: 0.020000
Training Epoch: 26 [26880/49812]	Loss: 0.7268	LR: 0.020000
Training Epoch: 26 [26944/49812]	Loss: 0.6589	LR: 0.020000
Training Epoch: 26 [27008/49812]	Loss: 0.8270	LR: 0.020000
Training Epoch: 26 [27072/49812]	Loss: 0.9932	LR: 0.020000
Training Epoch: 26 [27136/49812]	Loss: 1.0952	LR: 0.020000
Training Epoch: 26 [27200/49812]	Loss: 0.9178	LR: 0.020000
Training Epoch: 26 [27264/49812]	Loss: 0.7767	LR: 0.020000
Training Epoch: 26 [27328/49812]	Loss: 0.7184	LR: 0.020000
Training Epoch: 26 [27392/49812]	Loss: 0.9287	LR: 0.020000
Training Epoch: 26 [27456/49812]	Loss: 0.8542	LR: 0.020000
Training Epoch: 26 [27520/49812]	Loss: 0.7017	LR: 0.020000
Training Epoch: 26 [27584/49812]	Loss: 0.6988	LR: 0.020000
Training Epoch: 26 [27648/49812]	Loss: 1.0466	LR: 0.020000
Training Epoch: 26 [27712/49812]	Loss: 0.7415	LR: 0.020000
Training Epoch: 26 [27776/49812]	Loss: 0.6432	LR: 0.020000
Training Epoch: 26 [27840/49812]	Loss: 0.8945	LR: 0.020000
Training Epoch: 26 [27904/49812]	Loss: 0.8642	LR: 0.020000
Training Epoch: 26 [27968/49812]	Loss: 1.0333	LR: 0.020000
Training Epoch: 26 [28032/49812]	Loss: 0.8745	LR: 0.020000
Training Epoch: 26 [28096/49812]	Loss: 0.7764	LR: 0.020000
Training Epoch: 26 [28160/49812]	Loss: 0.8128	LR: 0.020000
Training Epoch: 26 [28224/49812]	Loss: 0.8150	LR: 0.020000
Training Epoch: 26 [28288/49812]	Loss: 1.1068	LR: 0.020000
Training Epoch: 26 [28352/49812]	Loss: 0.8057	LR: 0.020000
Training Epoch: 26 [28416/49812]	Loss: 0.8977	LR: 0.020000
Training Epoch: 26 [28480/49812]	Loss: 0.7730	LR: 0.020000
Training Epoch: 26 [28544/49812]	Loss: 0.6709	LR: 0.020000
Training Epoch: 26 [28608/49812]	Loss: 1.0206	LR: 0.020000
Training Epoch: 26 [28672/49812]	Loss: 0.6891	LR: 0.020000
Training Epoch: 26 [28736/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 26 [28800/49812]	Loss: 0.8958	LR: 0.020000
Training Epoch: 26 [28864/49812]	Loss: 0.7884	LR: 0.020000
Training Epoch: 26 [28928/49812]	Loss: 0.9562	LR: 0.020000
Training Epoch: 26 [28992/49812]	Loss: 0.5635	LR: 0.020000
Training Epoch: 26 [29056/49812]	Loss: 0.7535	LR: 0.020000
Training Epoch: 26 [29120/49812]	Loss: 0.9524	LR: 0.020000
Training Epoch: 26 [29184/49812]	Loss: 0.6866	LR: 0.020000
Training Epoch: 26 [29248/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 26 [29312/49812]	Loss: 0.8267	LR: 0.020000
Training Epoch: 26 [29376/49812]	Loss: 0.7477	LR: 0.020000
Training Epoch: 26 [29440/49812]	Loss: 0.8090	LR: 0.020000
Training Epoch: 26 [29504/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 26 [29568/49812]	Loss: 0.7004	LR: 0.020000
Training Epoch: 26 [29632/49812]	Loss: 0.8203	LR: 0.020000
Training Epoch: 26 [29696/49812]	Loss: 0.9228	LR: 0.020000
Training Epoch: 26 [29760/49812]	Loss: 0.5286	LR: 0.020000
Training Epoch: 26 [29824/49812]	Loss: 0.7079	LR: 0.020000
Training Epoch: 26 [29888/49812]	Loss: 0.9909	LR: 0.020000
Training Epoch: 26 [29952/49812]	Loss: 0.9643	LR: 0.020000
Training Epoch: 26 [30016/49812]	Loss: 0.7764	LR: 0.020000
Training Epoch: 26 [30080/49812]	Loss: 1.1541	LR: 0.020000
Training Epoch: 26 [30144/49812]	Loss: 0.8210	LR: 0.020000
Training Epoch: 26 [30208/49812]	Loss: 0.9891	LR: 0.020000
Training Epoch: 26 [30272/49812]	Loss: 0.7797	LR: 0.020000
Training Epoch: 26 [30336/49812]	Loss: 0.9497	LR: 0.020000
Training Epoch: 26 [30400/49812]	Loss: 0.8573	LR: 0.020000
Training Epoch: 26 [30464/49812]	Loss: 0.6930	LR: 0.020000
Training Epoch: 26 [30528/49812]	Loss: 0.8680	LR: 0.020000
Training Epoch: 26 [30592/49812]	Loss: 0.9320	LR: 0.020000
Training Epoch: 26 [30656/49812]	Loss: 0.7630	LR: 0.020000
Training Epoch: 26 [30720/49812]	Loss: 0.7910	LR: 0.020000
Training Epoch: 26 [30784/49812]	Loss: 0.8813	LR: 0.020000
Training Epoch: 26 [30848/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 26 [30912/49812]	Loss: 0.8231	LR: 0.020000
Training Epoch: 26 [30976/49812]	Loss: 1.1967	LR: 0.020000
Training Epoch: 26 [31040/49812]	Loss: 0.9539	LR: 0.020000
Training Epoch: 26 [31104/49812]	Loss: 0.5279	LR: 0.020000
Training Epoch: 26 [31168/49812]	Loss: 0.8189	LR: 0.020000
Training Epoch: 26 [31232/49812]	Loss: 1.2934	LR: 0.020000
Training Epoch: 26 [31296/49812]	Loss: 0.6563	LR: 0.020000
Training Epoch: 26 [31360/49812]	Loss: 0.7310	LR: 0.020000
Training Epoch: 26 [31424/49812]	Loss: 0.7685	LR: 0.020000
Training Epoch: 26 [31488/49812]	Loss: 0.9383	LR: 0.020000
Training Epoch: 26 [31552/49812]	Loss: 0.8738	LR: 0.020000
Training Epoch: 26 [31616/49812]	Loss: 0.8534	LR: 0.020000
Training Epoch: 26 [31680/49812]	Loss: 0.8214	LR: 0.020000
Training Epoch: 26 [31744/49812]	Loss: 0.9337	LR: 0.020000
Training Epoch: 26 [31808/49812]	Loss: 0.7771	LR: 0.020000
Training Epoch: 26 [31872/49812]	Loss: 0.6769	LR: 0.020000
Training Epoch: 26 [31936/49812]	Loss: 0.9991	LR: 0.020000
Training Epoch: 26 [32000/49812]	Loss: 0.6814	LR: 0.020000
Training Epoch: 26 [32064/49812]	Loss: 0.9310	LR: 0.020000
Training Epoch: 26 [32128/49812]	Loss: 0.8656	LR: 0.020000
Training Epoch: 26 [32192/49812]	Loss: 0.8531	LR: 0.020000
Training Epoch: 26 [32256/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 26 [32320/49812]	Loss: 0.7866	LR: 0.020000
Training Epoch: 26 [32384/49812]	Loss: 0.7188	LR: 0.020000
Training Epoch: 26 [32448/49812]	Loss: 0.8763	LR: 0.020000
Training Epoch: 26 [32512/49812]	Loss: 0.8605	LR: 0.020000
Training Epoch: 26 [32576/49812]	Loss: 0.9681	LR: 0.020000
Training Epoch: 26 [32640/49812]	Loss: 0.8607	LR: 0.020000
Training Epoch: 26 [32704/49812]	Loss: 1.3079	LR: 0.020000
Training Epoch: 26 [32768/49812]	Loss: 0.8126	LR: 0.020000
Training Epoch: 26 [32832/49812]	Loss: 0.6624	LR: 0.020000
Training Epoch: 26 [32896/49812]	Loss: 0.8610	LR: 0.020000
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Training Epoch: 26 [33024/49812]	Loss: 0.6992	LR: 0.020000
Training Epoch: 26 [33088/49812]	Loss: 0.9087	LR: 0.020000
Training Epoch: 26 [33152/49812]	Loss: 0.8542	LR: 0.020000
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Training Epoch: 26 [33280/49812]	Loss: 0.6636	LR: 0.020000
Training Epoch: 26 [33344/49812]	Loss: 0.6562	LR: 0.020000
Training Epoch: 26 [33408/49812]	Loss: 1.1398	LR: 0.020000
Training Epoch: 26 [33472/49812]	Loss: 1.2678	LR: 0.020000
Training Epoch: 26 [33536/49812]	Loss: 0.5267	LR: 0.020000
Training Epoch: 26 [33600/49812]	Loss: 0.8891	LR: 0.020000
Training Epoch: 26 [33664/49812]	Loss: 0.8419	LR: 0.020000
Training Epoch: 26 [33728/49812]	Loss: 0.5851	LR: 0.020000
Training Epoch: 26 [33792/49812]	Loss: 0.7017	LR: 0.020000
Training Epoch: 26 [33856/49812]	Loss: 0.7964	LR: 0.020000
Training Epoch: 26 [33920/49812]	Loss: 0.7478	LR: 0.020000
Training Epoch: 26 [33984/49812]	Loss: 1.1042	LR: 0.020000
Training Epoch: 26 [34048/49812]	Loss: 0.8129	LR: 0.020000
Training Epoch: 26 [34112/49812]	Loss: 0.7845	LR: 0.020000
Training Epoch: 26 [34176/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 26 [34240/49812]	Loss: 0.7393	LR: 0.020000
Training Epoch: 26 [34304/49812]	Loss: 1.1437	LR: 0.020000
Training Epoch: 26 [34368/49812]	Loss: 0.6760	LR: 0.020000
Training Epoch: 26 [34432/49812]	Loss: 0.5770	LR: 0.020000
Training Epoch: 26 [34496/49812]	Loss: 0.9723	LR: 0.020000
Training Epoch: 26 [34560/49812]	Loss: 0.9983	LR: 0.020000
Training Epoch: 26 [34624/49812]	Loss: 0.7996	LR: 0.020000
Training Epoch: 26 [34688/49812]	Loss: 1.1796	LR: 0.020000
Training Epoch: 26 [34752/49812]	Loss: 0.8195	LR: 0.020000
Training Epoch: 26 [34816/49812]	Loss: 0.9805	LR: 0.020000
Training Epoch: 26 [34880/49812]	Loss: 1.0250	LR: 0.020000
Training Epoch: 26 [34944/49812]	Loss: 0.9314	LR: 0.020000
Training Epoch: 26 [35008/49812]	Loss: 0.6789	LR: 0.020000
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Training Epoch: 26 [35136/49812]	Loss: 1.0372	LR: 0.020000
Training Epoch: 26 [35200/49812]	Loss: 0.7985	LR: 0.020000
Training Epoch: 26 [35264/49812]	Loss: 0.9618	LR: 0.020000
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Training Epoch: 26 [35392/49812]	Loss: 0.6091	LR: 0.020000
Training Epoch: 26 [35456/49812]	Loss: 0.8423	LR: 0.020000
Training Epoch: 26 [35520/49812]	Loss: 0.8894	LR: 0.020000
Training Epoch: 26 [35584/49812]	Loss: 0.8847	LR: 0.020000
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Training Epoch: 26 [35712/49812]	Loss: 0.8236	LR: 0.020000
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Training Epoch: 26 [35840/49812]	Loss: 0.9641	LR: 0.020000
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Training Epoch: 26 [35968/49812]	Loss: 0.9845	LR: 0.020000
Training Epoch: 26 [36032/49812]	Loss: 0.6270	LR: 0.020000
Training Epoch: 26 [36096/49812]	Loss: 0.6669	LR: 0.020000
Training Epoch: 26 [36160/49812]	Loss: 0.9510	LR: 0.020000
Training Epoch: 26 [36224/49812]	Loss: 0.9277	LR: 0.020000
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Training Epoch: 26 [36352/49812]	Loss: 0.7594	LR: 0.020000
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Training Epoch: 26 [36544/49812]	Loss: 0.5584	LR: 0.020000
Training Epoch: 26 [36608/49812]	Loss: 0.6303	LR: 0.020000
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Training Epoch: 26 [36864/49812]	Loss: 0.6994	LR: 0.020000
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Training Epoch: 26 [37056/49812]	Loss: 1.4067	LR: 0.020000
Training Epoch: 26 [37120/49812]	Loss: 0.7938	LR: 0.020000
Training Epoch: 26 [37184/49812]	Loss: 0.6830	LR: 0.020000
Training Epoch: 26 [37248/49812]	Loss: 0.9649	LR: 0.020000
Training Epoch: 26 [37312/49812]	Loss: 0.6257	LR: 0.020000
Training Epoch: 26 [37376/49812]	Loss: 1.1332	LR: 0.020000
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Training Epoch: 26 [38208/49812]	Loss: 0.9967	LR: 0.020000
Training Epoch: 26 [38272/49812]	Loss: 1.2429	LR: 0.020000
Training Epoch: 26 [38336/49812]	Loss: 0.6142	LR: 0.020000
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Training Epoch: 26 [39040/49812]	Loss: 1.0207	LR: 0.020000
Training Epoch: 26 [39104/49812]	Loss: 0.9029	LR: 0.020000
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Training Epoch: 26 [39232/49812]	Loss: 0.6974	LR: 0.020000
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Training Epoch: 26 [39424/49812]	Loss: 0.8034	LR: 0.020000
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Training Epoch: 26 [39936/49812]	Loss: 1.0456	LR: 0.020000
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Training Epoch: 26 [40064/49812]	Loss: 0.8186	LR: 0.020000
Training Epoch: 26 [40128/49812]	Loss: 0.8549	LR: 0.020000
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Training Epoch: 26 [40768/49812]	Loss: 0.9064	LR: 0.020000
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Training Epoch: 26 [41024/49812]	Loss: 0.9325	LR: 0.020000
Training Epoch: 26 [41088/49812]	Loss: 0.7648	LR: 0.020000
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Training Epoch: 26 [41344/49812]	Loss: 1.0288	LR: 0.020000
Training Epoch: 26 [41408/49812]	Loss: 0.7559	LR: 0.020000
Training Epoch: 26 [41472/49812]	Loss: 0.8167	LR: 0.020000
Training Epoch: 26 [41536/49812]	Loss: 0.8056	LR: 0.020000
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Training Epoch: 26 [41664/49812]	Loss: 0.9040	LR: 0.020000
Training Epoch: 26 [41728/49812]	Loss: 0.6869	LR: 0.020000
Training Epoch: 26 [41792/49812]	Loss: 0.9730	LR: 0.020000
Training Epoch: 26 [41856/49812]	Loss: 0.8442	LR: 0.020000
Training Epoch: 26 [41920/49812]	Loss: 0.7430	LR: 0.020000
Training Epoch: 26 [41984/49812]	Loss: 0.6167	LR: 0.020000
Training Epoch: 26 [42048/49812]	Loss: 0.9410	LR: 0.020000
Training Epoch: 26 [42112/49812]	Loss: 0.9537	LR: 0.020000
Training Epoch: 26 [42176/49812]	Loss: 1.0595	LR: 0.020000
Training Epoch: 26 [42240/49812]	Loss: 0.8312	LR: 0.020000
Training Epoch: 26 [42304/49812]	Loss: 0.6669	LR: 0.020000
Training Epoch: 26 [42368/49812]	Loss: 0.8743	LR: 0.020000
Training Epoch: 26 [42432/49812]	Loss: 0.8722	LR: 0.020000
Training Epoch: 26 [42496/49812]	Loss: 0.9614	LR: 0.020000
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Training Epoch: 26 [42624/49812]	Loss: 1.1820	LR: 0.020000
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Training Epoch: 26 [42752/49812]	Loss: 0.6286	LR: 0.020000
Training Epoch: 26 [42816/49812]	Loss: 0.6348	LR: 0.020000
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Training Epoch: 26 [42944/49812]	Loss: 0.9055	LR: 0.020000
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Training Epoch: 26 [43200/49812]	Loss: 0.8210	LR: 0.020000
Training Epoch: 26 [43264/49812]	Loss: 0.8338	LR: 0.020000
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Training Epoch: 26 [43456/49812]	Loss: 0.9170	LR: 0.020000
Training Epoch: 26 [43520/49812]	Loss: 0.7587	LR: 0.020000
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Training Epoch: 26 [43840/49812]	Loss: 1.0377	LR: 0.020000
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Training Epoch: 26 [44096/49812]	Loss: 0.9433	LR: 0.020000
Training Epoch: 26 [44160/49812]	Loss: 0.7851	LR: 0.020000
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Training Epoch: 26 [44288/49812]	Loss: 0.7702	LR: 0.020000
Training Epoch: 26 [44352/49812]	Loss: 0.7550	LR: 0.020000
Training Epoch: 26 [44416/49812]	Loss: 0.6614	LR: 0.020000
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Training Epoch: 26 [44864/49812]	Loss: 0.6488	LR: 0.020000
Training Epoch: 26 [44928/49812]	Loss: 0.8552	LR: 0.020000
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Training Epoch: 26 [45696/49812]	Loss: 1.0484	LR: 0.020000
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Training Epoch: 26 [45888/49812]	Loss: 0.9912	LR: 0.020000
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Training Epoch: 26 [46016/49812]	Loss: 0.7215	LR: 0.020000
Training Epoch: 26 [46080/49812]	Loss: 0.7954	LR: 0.020000
Training Epoch: 26 [46144/49812]	Loss: 0.7445	LR: 0.020000
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Training Epoch: 26 [46592/49812]	Loss: 1.0165	LR: 0.020000
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Training Epoch: 26 [46848/49812]	Loss: 0.6649	LR: 0.020000
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Training Epoch: 26 [46976/49812]	Loss: 0.7542	LR: 0.020000
Training Epoch: 26 [47040/49812]	Loss: 0.8633	LR: 0.020000
Training Epoch: 26 [47104/49812]	Loss: 0.8067	LR: 0.020000
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Training Epoch: 26 [47232/49812]	Loss: 0.8425	LR: 0.020000
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Training Epoch: 26 [47680/49812]	Loss: 0.9554	LR: 0.020000
Training Epoch: 26 [47744/49812]	Loss: 0.6331	LR: 0.020000
Training Epoch: 26 [47808/49812]	Loss: 0.7464	LR: 0.020000
Training Epoch: 26 [47872/49812]	Loss: 0.9783	LR: 0.020000
Training Epoch: 26 [47936/49812]	Loss: 0.8434	LR: 0.020000
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Training Epoch: 26 [48064/49812]	Loss: 0.5915	LR: 0.020000
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Training Epoch: 26 [48192/49812]	Loss: 0.9316	LR: 0.020000
Training Epoch: 26 [48256/49812]	Loss: 0.9906	LR: 0.020000
Training Epoch: 26 [48320/49812]	Loss: 0.8409	LR: 0.020000
Training Epoch: 26 [48384/49812]	Loss: 0.8103	LR: 0.020000
Training Epoch: 26 [48448/49812]	Loss: 0.7740	LR: 0.020000
Training Epoch: 26 [48512/49812]	Loss: 0.6961	LR: 0.020000
Training Epoch: 26 [48576/49812]	Loss: 0.8948	LR: 0.020000
Training Epoch: 26 [48640/49812]	Loss: 0.8681	LR: 0.020000
Training Epoch: 26 [48704/49812]	Loss: 1.0716	LR: 0.020000
Training Epoch: 26 [48768/49812]	Loss: 1.1099	LR: 0.020000
Training Epoch: 26 [48832/49812]	Loss: 0.6734	LR: 0.020000
Training Epoch: 26 [48896/49812]	Loss: 0.8729	LR: 0.020000
Training Epoch: 26 [48960/49812]	Loss: 0.9173	LR: 0.020000
Training Epoch: 26 [49024/49812]	Loss: 0.7986	LR: 0.020000
Training Epoch: 26 [49088/49812]	Loss: 0.8936	LR: 0.020000
Training Epoch: 26 [49152/49812]	Loss: 0.9299	LR: 0.020000
Training Epoch: 26 [49216/49812]	Loss: 0.8169	LR: 0.020000
Training Epoch: 26 [49280/49812]	Loss: 0.8859	LR: 0.020000
Training Epoch: 26 [49344/49812]	Loss: 0.7874	LR: 0.020000
Training Epoch: 26 [49408/49812]	Loss: 0.6927	LR: 0.020000
Training Epoch: 26 [49472/49812]	Loss: 0.7341	LR: 0.020000
Training Epoch: 26 [49536/49812]	Loss: 0.8587	LR: 0.020000
Training Epoch: 26 [49600/49812]	Loss: 0.8255	LR: 0.020000
Training Epoch: 26 [49664/49812]	Loss: 0.8562	LR: 0.020000
Training Epoch: 26 [49728/49812]	Loss: 0.7906	LR: 0.020000
Training Epoch: 26 [49792/49812]	Loss: 0.6918	LR: 0.020000
Training Epoch: 26 [49812/49812]	Loss: 0.9366	LR: 0.020000
Epoch 26 - Average Train Loss: 0.8186, Train Accuracy: 0.7374
Epoch 26 training time consumed: 254.49s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0151, Accuracy: 0.7031, Time consumed:17.25s
Training Epoch: 27 [64/49812]	Loss: 0.7014	LR: 0.020000
Training Epoch: 27 [128/49812]	Loss: 0.6663	LR: 0.020000
Training Epoch: 27 [192/49812]	Loss: 0.8558	LR: 0.020000
Training Epoch: 27 [256/49812]	Loss: 0.9474	LR: 0.020000
Training Epoch: 27 [320/49812]	Loss: 0.7743	LR: 0.020000
Training Epoch: 27 [384/49812]	Loss: 0.7930	LR: 0.020000
Training Epoch: 27 [448/49812]	Loss: 0.9058	LR: 0.020000
Training Epoch: 27 [512/49812]	Loss: 0.6203	LR: 0.020000
Training Epoch: 27 [576/49812]	Loss: 0.6060	LR: 0.020000
Training Epoch: 27 [640/49812]	Loss: 0.6852	LR: 0.020000
Training Epoch: 27 [704/49812]	Loss: 1.0007	LR: 0.020000
Training Epoch: 27 [768/49812]	Loss: 0.5673	LR: 0.020000
Training Epoch: 27 [832/49812]	Loss: 0.9433	LR: 0.020000
Training Epoch: 27 [896/49812]	Loss: 0.7213	LR: 0.020000
Training Epoch: 27 [960/49812]	Loss: 0.8777	LR: 0.020000
Training Epoch: 27 [1024/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 27 [1088/49812]	Loss: 0.8445	LR: 0.020000
Training Epoch: 27 [1152/49812]	Loss: 0.6529	LR: 0.020000
Training Epoch: 27 [1216/49812]	Loss: 0.7639	LR: 0.020000
Training Epoch: 27 [1280/49812]	Loss: 0.8555	LR: 0.020000
Training Epoch: 27 [1344/49812]	Loss: 1.0193	LR: 0.020000
Training Epoch: 27 [1408/49812]	Loss: 1.0144	LR: 0.020000
Training Epoch: 27 [1472/49812]	Loss: 0.7631	LR: 0.020000
Training Epoch: 27 [1536/49812]	Loss: 0.7145	LR: 0.020000
Training Epoch: 27 [1600/49812]	Loss: 0.8699	LR: 0.020000
Training Epoch: 27 [1664/49812]	Loss: 0.7975	LR: 0.020000
Training Epoch: 27 [1728/49812]	Loss: 0.5321	LR: 0.020000
Training Epoch: 27 [1792/49812]	Loss: 0.8552	LR: 0.020000
Training Epoch: 27 [1856/49812]	Loss: 0.7518	LR: 0.020000
Training Epoch: 27 [1920/49812]	Loss: 0.7047	LR: 0.020000
Training Epoch: 27 [1984/49812]	Loss: 0.8936	LR: 0.020000
Training Epoch: 27 [2048/49812]	Loss: 0.7183	LR: 0.020000
Training Epoch: 27 [2112/49812]	Loss: 0.5376	LR: 0.020000
Training Epoch: 27 [2176/49812]	Loss: 1.0222	LR: 0.020000
Training Epoch: 27 [2240/49812]	Loss: 0.6757	LR: 0.020000
Training Epoch: 27 [2304/49812]	Loss: 0.7294	LR: 0.020000
Training Epoch: 27 [2368/49812]	Loss: 0.9910	LR: 0.020000
Training Epoch: 27 [2432/49812]	Loss: 0.6692	LR: 0.020000
Training Epoch: 27 [2496/49812]	Loss: 0.7054	LR: 0.020000
Training Epoch: 27 [2560/49812]	Loss: 0.7414	LR: 0.020000
Training Epoch: 27 [2624/49812]	Loss: 0.7457	LR: 0.020000
Training Epoch: 27 [2688/49812]	Loss: 0.8604	LR: 0.020000
Training Epoch: 27 [2752/49812]	Loss: 0.8756	LR: 0.020000
Training Epoch: 27 [2816/49812]	Loss: 0.7671	LR: 0.020000
Training Epoch: 27 [2880/49812]	Loss: 0.9531	LR: 0.020000
Training Epoch: 27 [2944/49812]	Loss: 0.7811	LR: 0.020000
Training Epoch: 27 [3008/49812]	Loss: 0.9516	LR: 0.020000
Training Epoch: 27 [3072/49812]	Loss: 0.8906	LR: 0.020000
Training Epoch: 27 [3136/49812]	Loss: 0.5333	LR: 0.020000
Training Epoch: 27 [3200/49812]	Loss: 0.9129	LR: 0.020000
Training Epoch: 27 [3264/49812]	Loss: 0.8147	LR: 0.020000
Training Epoch: 27 [3328/49812]	Loss: 0.8379	LR: 0.020000
Training Epoch: 27 [3392/49812]	Loss: 0.6059	LR: 0.020000
Training Epoch: 27 [3456/49812]	Loss: 0.9887	LR: 0.020000
Training Epoch: 27 [3520/49812]	Loss: 0.8169	LR: 0.020000
Training Epoch: 27 [3584/49812]	Loss: 0.8171	LR: 0.020000
Training Epoch: 27 [3648/49812]	Loss: 0.8496	LR: 0.020000
Training Epoch: 27 [3712/49812]	Loss: 0.6078	LR: 0.020000
Training Epoch: 27 [3776/49812]	Loss: 0.8898	LR: 0.020000
Training Epoch: 27 [3840/49812]	Loss: 0.7931	LR: 0.020000
Training Epoch: 27 [3904/49812]	Loss: 0.6867	LR: 0.020000
Training Epoch: 27 [3968/49812]	Loss: 0.8770	LR: 0.020000
Training Epoch: 27 [4032/49812]	Loss: 0.6206	LR: 0.020000
Training Epoch: 27 [4096/49812]	Loss: 0.7065	LR: 0.020000
Training Epoch: 27 [4160/49812]	Loss: 0.8762	LR: 0.020000
Training Epoch: 27 [4224/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 27 [4288/49812]	Loss: 0.7475	LR: 0.020000
Training Epoch: 27 [4352/49812]	Loss: 0.7049	LR: 0.020000
Training Epoch: 27 [4416/49812]	Loss: 0.9288	LR: 0.020000
Training Epoch: 27 [4480/49812]	Loss: 0.7200	LR: 0.020000
Training Epoch: 27 [4544/49812]	Loss: 0.6843	LR: 0.020000
Training Epoch: 27 [4608/49812]	Loss: 0.5962	LR: 0.020000
Training Epoch: 27 [4672/49812]	Loss: 0.6640	LR: 0.020000
Training Epoch: 27 [4736/49812]	Loss: 0.6933	LR: 0.020000
Training Epoch: 27 [4800/49812]	Loss: 1.0348	LR: 0.020000
Training Epoch: 27 [4864/49812]	Loss: 0.8466	LR: 0.020000
Training Epoch: 27 [4928/49812]	Loss: 0.6637	LR: 0.020000
Training Epoch: 27 [4992/49812]	Loss: 0.6557	LR: 0.020000
Training Epoch: 27 [5056/49812]	Loss: 0.7850	LR: 0.020000
Training Epoch: 27 [5120/49812]	Loss: 0.8042	LR: 0.020000
Training Epoch: 27 [5184/49812]	Loss: 0.6364	LR: 0.020000
Training Epoch: 27 [5248/49812]	Loss: 0.8513	LR: 0.020000
Training Epoch: 27 [5312/49812]	Loss: 0.7207	LR: 0.020000
Training Epoch: 27 [5376/49812]	Loss: 0.7498	LR: 0.020000
Training Epoch: 27 [5440/49812]	Loss: 0.8534	LR: 0.020000
Training Epoch: 27 [5504/49812]	Loss: 0.7626	LR: 0.020000
Training Epoch: 27 [5568/49812]	Loss: 1.0734	LR: 0.020000
Training Epoch: 27 [5632/49812]	Loss: 0.6945	LR: 0.020000
Training Epoch: 27 [5696/49812]	Loss: 0.6610	LR: 0.020000
Training Epoch: 27 [5760/49812]	Loss: 0.7375	LR: 0.020000
Training Epoch: 27 [5824/49812]	Loss: 0.7406	LR: 0.020000
Training Epoch: 27 [5888/49812]	Loss: 0.6763	LR: 0.020000
Training Epoch: 27 [5952/49812]	Loss: 1.0865	LR: 0.020000
Training Epoch: 27 [6016/49812]	Loss: 1.0192	LR: 0.020000
Training Epoch: 27 [6080/49812]	Loss: 0.7597	LR: 0.020000
Training Epoch: 27 [6144/49812]	Loss: 0.6772	LR: 0.020000
Training Epoch: 27 [6208/49812]	Loss: 1.1525	LR: 0.020000
Training Epoch: 27 [6272/49812]	Loss: 1.0168	LR: 0.020000
Training Epoch: 27 [6336/49812]	Loss: 0.7667	LR: 0.020000
Training Epoch: 27 [6400/49812]	Loss: 0.8978	LR: 0.020000
Training Epoch: 27 [6464/49812]	Loss: 0.9626	LR: 0.020000
Training Epoch: 27 [6528/49812]	Loss: 0.7068	LR: 0.020000
Training Epoch: 27 [6592/49812]	Loss: 0.7822	LR: 0.020000
Training Epoch: 27 [6656/49812]	Loss: 0.6823	LR: 0.020000
Training Epoch: 27 [6720/49812]	Loss: 0.6370	LR: 0.020000
Training Epoch: 27 [6784/49812]	Loss: 0.8136	LR: 0.020000
Training Epoch: 27 [6848/49812]	Loss: 0.8227	LR: 0.020000
Training Epoch: 27 [6912/49812]	Loss: 0.7295	LR: 0.020000
Training Epoch: 27 [6976/49812]	Loss: 0.8305	LR: 0.020000
Training Epoch: 27 [7040/49812]	Loss: 0.8970	LR: 0.020000
Training Epoch: 27 [7104/49812]	Loss: 0.8050	LR: 0.020000
Training Epoch: 27 [7168/49812]	Loss: 0.7222	LR: 0.020000
Training Epoch: 27 [7232/49812]	Loss: 0.8072	LR: 0.020000
Training Epoch: 27 [7296/49812]	Loss: 0.8500	LR: 0.020000
Training Epoch: 27 [7360/49812]	Loss: 0.9312	LR: 0.020000
Training Epoch: 27 [7424/49812]	Loss: 0.6254	LR: 0.020000
Training Epoch: 27 [7488/49812]	Loss: 0.7053	LR: 0.020000
Training Epoch: 27 [7552/49812]	Loss: 0.9043	LR: 0.020000
Training Epoch: 27 [7616/49812]	Loss: 0.8508	LR: 0.020000
Training Epoch: 27 [7680/49812]	Loss: 0.7350	LR: 0.020000
Training Epoch: 27 [7744/49812]	Loss: 1.0075	LR: 0.020000
Training Epoch: 27 [7808/49812]	Loss: 0.7514	LR: 0.020000
Training Epoch: 27 [7872/49812]	Loss: 0.7672	LR: 0.020000
Training Epoch: 27 [7936/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 27 [8000/49812]	Loss: 0.7940	LR: 0.020000
Training Epoch: 27 [8064/49812]	Loss: 0.6746	LR: 0.020000
Training Epoch: 27 [8128/49812]	Loss: 0.7300	LR: 0.020000
Training Epoch: 27 [8192/49812]	Loss: 0.7946	LR: 0.020000
Training Epoch: 27 [8256/49812]	Loss: 0.6748	LR: 0.020000
Training Epoch: 27 [8320/49812]	Loss: 0.9692	LR: 0.020000
Training Epoch: 27 [8384/49812]	Loss: 0.9404	LR: 0.020000
Training Epoch: 27 [8448/49812]	Loss: 0.8226	LR: 0.020000
Training Epoch: 27 [8512/49812]	Loss: 0.6569	LR: 0.020000
Training Epoch: 27 [8576/49812]	Loss: 0.8445	LR: 0.020000
Training Epoch: 27 [8640/49812]	Loss: 1.0555	LR: 0.020000
Training Epoch: 27 [8704/49812]	Loss: 0.9104	LR: 0.020000
Training Epoch: 27 [8768/49812]	Loss: 0.8506	LR: 0.020000
Training Epoch: 27 [8832/49812]	Loss: 0.9594	LR: 0.020000
Training Epoch: 27 [8896/49812]	Loss: 0.8652	LR: 0.020000
Training Epoch: 27 [8960/49812]	Loss: 0.6674	LR: 0.020000
Training Epoch: 27 [9024/49812]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [9088/49812]	Loss: 0.6729	LR: 0.020000
Training Epoch: 27 [9152/49812]	Loss: 0.7301	LR: 0.020000
Training Epoch: 27 [9216/49812]	Loss: 0.9745	LR: 0.020000
Training Epoch: 27 [9280/49812]	Loss: 0.7261	LR: 0.020000
Training Epoch: 27 [9344/49812]	Loss: 0.7733	LR: 0.020000
Training Epoch: 27 [9408/49812]	Loss: 0.7307	LR: 0.020000
Training Epoch: 27 [9472/49812]	Loss: 0.6626	LR: 0.020000
Training Epoch: 27 [9536/49812]	Loss: 0.9195	LR: 0.020000
Training Epoch: 27 [9600/49812]	Loss: 1.1317	LR: 0.020000
Training Epoch: 27 [9664/49812]	Loss: 0.7357	LR: 0.020000
Training Epoch: 27 [9728/49812]	Loss: 0.8523	LR: 0.020000
Training Epoch: 27 [9792/49812]	Loss: 0.8027	LR: 0.020000
Training Epoch: 27 [9856/49812]	Loss: 0.9946	LR: 0.020000
Training Epoch: 27 [9920/49812]	Loss: 0.7218	LR: 0.020000
Training Epoch: 27 [9984/49812]	Loss: 0.6975	LR: 0.020000
Training Epoch: 27 [10048/49812]	Loss: 0.9499	LR: 0.020000
Training Epoch: 27 [10112/49812]	Loss: 0.8267	LR: 0.020000
Training Epoch: 27 [10176/49812]	Loss: 0.6446	LR: 0.020000
Training Epoch: 27 [10240/49812]	Loss: 0.5995	LR: 0.020000
Training Epoch: 27 [10304/49812]	Loss: 0.8416	LR: 0.020000
Training Epoch: 27 [10368/49812]	Loss: 0.7120	LR: 0.020000
Training Epoch: 27 [10432/49812]	Loss: 0.8561	LR: 0.020000
Training Epoch: 27 [10496/49812]	Loss: 0.6747	LR: 0.020000
Training Epoch: 27 [10560/49812]	Loss: 0.7851	LR: 0.020000
Training Epoch: 27 [10624/49812]	Loss: 1.0857	LR: 0.020000
Training Epoch: 27 [10688/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 27 [10752/49812]	Loss: 0.7825	LR: 0.020000
Training Epoch: 27 [10816/49812]	Loss: 0.8022	LR: 0.020000
Training Epoch: 27 [10880/49812]	Loss: 0.7499	LR: 0.020000
Training Epoch: 27 [10944/49812]	Loss: 0.9587	LR: 0.020000
Training Epoch: 27 [11008/49812]	Loss: 0.9732	LR: 0.020000
Training Epoch: 27 [11072/49812]	Loss: 0.7129	LR: 0.020000
Training Epoch: 27 [11136/49812]	Loss: 0.8521	LR: 0.020000
Training Epoch: 27 [11200/49812]	Loss: 0.7078	LR: 0.020000
Training Epoch: 27 [11264/49812]	Loss: 0.9042	LR: 0.020000
Training Epoch: 27 [11328/49812]	Loss: 0.6850	LR: 0.020000
Training Epoch: 27 [11392/49812]	Loss: 0.6606	LR: 0.020000
Training Epoch: 27 [11456/49812]	Loss: 0.8733	LR: 0.020000
Training Epoch: 27 [11520/49812]	Loss: 0.8739	LR: 0.020000
Training Epoch: 27 [11584/49812]	Loss: 0.9944	LR: 0.020000
Training Epoch: 27 [11648/49812]	Loss: 0.7151	LR: 0.020000
Training Epoch: 27 [11712/49812]	Loss: 0.7488	LR: 0.020000
Training Epoch: 27 [11776/49812]	Loss: 0.7164	LR: 0.020000
Training Epoch: 27 [11840/49812]	Loss: 0.5396	LR: 0.020000
Training Epoch: 27 [11904/49812]	Loss: 0.6644	LR: 0.020000
Training Epoch: 27 [11968/49812]	Loss: 0.8029	LR: 0.020000
Training Epoch: 27 [12032/49812]	Loss: 0.8281	LR: 0.020000
Training Epoch: 27 [12096/49812]	Loss: 0.6206	LR: 0.020000
Training Epoch: 27 [12160/49812]	Loss: 0.9237	LR: 0.020000
Training Epoch: 27 [12224/49812]	Loss: 0.7782	LR: 0.020000
Training Epoch: 27 [12288/49812]	Loss: 1.0042	LR: 0.020000
Training Epoch: 27 [12352/49812]	Loss: 0.6823	LR: 0.020000
Training Epoch: 27 [12416/49812]	Loss: 0.7098	LR: 0.020000
Training Epoch: 27 [12480/49812]	Loss: 0.6564	LR: 0.020000
Training Epoch: 27 [12544/49812]	Loss: 0.6674	LR: 0.020000
Training Epoch: 27 [12608/49812]	Loss: 0.7581	LR: 0.020000
Training Epoch: 27 [12672/49812]	Loss: 0.6537	LR: 0.020000
Training Epoch: 27 [12736/49812]	Loss: 0.9701	LR: 0.020000
Training Epoch: 27 [12800/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 27 [12864/49812]	Loss: 0.8623	LR: 0.020000
Training Epoch: 27 [12928/49812]	Loss: 0.9492	LR: 0.020000
Training Epoch: 27 [12992/49812]	Loss: 0.6473	LR: 0.020000
Training Epoch: 27 [13056/49812]	Loss: 0.7229	LR: 0.020000
Training Epoch: 27 [13120/49812]	Loss: 0.7331	LR: 0.020000
Training Epoch: 27 [13184/49812]	Loss: 0.7704	LR: 0.020000
Training Epoch: 27 [13248/49812]	Loss: 1.0079	LR: 0.020000
Training Epoch: 27 [13312/49812]	Loss: 0.9028	LR: 0.020000
Training Epoch: 27 [13376/49812]	Loss: 1.0094	LR: 0.020000
Training Epoch: 27 [13440/49812]	Loss: 0.8693	LR: 0.020000
Training Epoch: 27 [13504/49812]	Loss: 0.8122	LR: 0.020000
Training Epoch: 27 [13568/49812]	Loss: 0.7444	LR: 0.020000
Training Epoch: 27 [13632/49812]	Loss: 0.7879	LR: 0.020000
Training Epoch: 27 [13696/49812]	Loss: 0.6466	LR: 0.020000
Training Epoch: 27 [13760/49812]	Loss: 0.6491	LR: 0.020000
Training Epoch: 27 [13824/49812]	Loss: 0.8747	LR: 0.020000
Training Epoch: 27 [13888/49812]	Loss: 0.7638	LR: 0.020000
Training Epoch: 27 [13952/49812]	Loss: 0.7670	LR: 0.020000
Training Epoch: 27 [14016/49812]	Loss: 0.8606	LR: 0.020000
Training Epoch: 27 [14080/49812]	Loss: 0.6405	LR: 0.020000
Training Epoch: 27 [14144/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 27 [14208/49812]	Loss: 0.5397	LR: 0.020000
Training Epoch: 27 [14272/49812]	Loss: 0.8281	LR: 0.020000
Training Epoch: 27 [14336/49812]	Loss: 0.7485	LR: 0.020000
Training Epoch: 27 [14400/49812]	Loss: 0.8075	LR: 0.020000
Training Epoch: 27 [14464/49812]	Loss: 0.8320	LR: 0.020000
Training Epoch: 27 [14528/49812]	Loss: 0.7873	LR: 0.020000
Training Epoch: 27 [14592/49812]	Loss: 0.7718	LR: 0.020000
Training Epoch: 27 [14656/49812]	Loss: 0.6383	LR: 0.020000
Training Epoch: 27 [14720/49812]	Loss: 0.4950	LR: 0.020000
Training Epoch: 27 [14784/49812]	Loss: 0.9619	LR: 0.020000
Training Epoch: 27 [14848/49812]	Loss: 0.7769	LR: 0.020000
Training Epoch: 27 [14912/49812]	Loss: 0.7496	LR: 0.020000
Training Epoch: 27 [14976/49812]	Loss: 0.6182	LR: 0.020000
Training Epoch: 27 [15040/49812]	Loss: 0.6845	LR: 0.020000
Training Epoch: 27 [15104/49812]	Loss: 0.9906	LR: 0.020000
Training Epoch: 27 [15168/49812]	Loss: 0.8462	LR: 0.020000
Training Epoch: 27 [15232/49812]	Loss: 0.7545	LR: 0.020000
Training Epoch: 27 [15296/49812]	Loss: 0.7277	LR: 0.020000
Training Epoch: 27 [15360/49812]	Loss: 0.7216	LR: 0.020000
Training Epoch: 27 [15424/49812]	Loss: 0.7120	LR: 0.020000
Training Epoch: 27 [15488/49812]	Loss: 0.9373	LR: 0.020000
Training Epoch: 27 [15552/49812]	Loss: 0.8646	LR: 0.020000
Training Epoch: 27 [15616/49812]	Loss: 0.7553	LR: 0.020000
Training Epoch: 27 [15680/49812]	Loss: 0.6850	LR: 0.020000
Training Epoch: 27 [15744/49812]	Loss: 0.9050	LR: 0.020000
Training Epoch: 27 [15808/49812]	Loss: 0.5272	LR: 0.020000
Training Epoch: 27 [15872/49812]	Loss: 0.9064	LR: 0.020000
Training Epoch: 27 [15936/49812]	Loss: 0.6164	LR: 0.020000
Training Epoch: 27 [16000/49812]	Loss: 0.7935	LR: 0.020000
Training Epoch: 27 [16064/49812]	Loss: 0.6991	LR: 0.020000
Training Epoch: 27 [16128/49812]	Loss: 0.8564	LR: 0.020000
Training Epoch: 27 [16192/49812]	Loss: 1.1444	LR: 0.020000
Training Epoch: 27 [16256/49812]	Loss: 0.8108	LR: 0.020000
Training Epoch: 27 [16320/49812]	Loss: 0.5483	LR: 0.020000
Training Epoch: 27 [16384/49812]	Loss: 1.1033	LR: 0.020000
Training Epoch: 27 [16448/49812]	Loss: 0.8970	LR: 0.020000
Training Epoch: 27 [16512/49812]	Loss: 0.7857	LR: 0.020000
Training Epoch: 27 [16576/49812]	Loss: 0.9348	LR: 0.020000
Training Epoch: 27 [16640/49812]	Loss: 0.9498	LR: 0.020000
Training Epoch: 27 [16704/49812]	Loss: 0.7271	LR: 0.020000
Training Epoch: 27 [16768/49812]	Loss: 0.7035	LR: 0.020000
Training Epoch: 27 [16832/49812]	Loss: 0.9498	LR: 0.020000
Training Epoch: 27 [16896/49812]	Loss: 0.7943	LR: 0.020000
Training Epoch: 27 [16960/49812]	Loss: 0.8994	LR: 0.020000
Training Epoch: 27 [17024/49812]	Loss: 0.6782	LR: 0.020000
Training Epoch: 27 [17088/49812]	Loss: 0.7890	LR: 0.020000
Training Epoch: 27 [17152/49812]	Loss: 0.8891	LR: 0.020000
Training Epoch: 27 [17216/49812]	Loss: 0.7387	LR: 0.020000
Training Epoch: 27 [17280/49812]	Loss: 0.5615	LR: 0.020000
Training Epoch: 27 [17344/49812]	Loss: 0.7345	LR: 0.020000
Training Epoch: 27 [17408/49812]	Loss: 0.6893	LR: 0.020000
Training Epoch: 27 [17472/49812]	Loss: 0.5524	LR: 0.020000
Training Epoch: 27 [17536/49812]	Loss: 0.6881	LR: 0.020000
Training Epoch: 27 [17600/49812]	Loss: 0.5324	LR: 0.020000
Training Epoch: 27 [17664/49812]	Loss: 0.6195	LR: 0.020000
Training Epoch: 27 [17728/49812]	Loss: 0.8000	LR: 0.020000
Training Epoch: 27 [17792/49812]	Loss: 0.9554	LR: 0.020000
Training Epoch: 27 [17856/49812]	Loss: 0.8162	LR: 0.020000
Training Epoch: 27 [17920/49812]	Loss: 0.8564	LR: 0.020000
Training Epoch: 27 [17984/49812]	Loss: 0.6714	LR: 0.020000
Training Epoch: 27 [18048/49812]	Loss: 0.9165	LR: 0.020000
Training Epoch: 27 [18112/49812]	Loss: 0.8782	LR: 0.020000
Training Epoch: 27 [18176/49812]	Loss: 0.6782	LR: 0.020000
Training Epoch: 27 [18240/49812]	Loss: 0.7838	LR: 0.020000
Training Epoch: 27 [18304/49812]	Loss: 0.8350	LR: 0.020000
Training Epoch: 27 [18368/49812]	Loss: 0.6199	LR: 0.020000
Training Epoch: 27 [18432/49812]	Loss: 0.5281	LR: 0.020000
Training Epoch: 27 [18496/49812]	Loss: 0.5458	LR: 0.020000
Training Epoch: 27 [18560/49812]	Loss: 1.0963	LR: 0.020000
Training Epoch: 27 [18624/49812]	Loss: 1.0405	LR: 0.020000
Training Epoch: 27 [18688/49812]	Loss: 0.6987	LR: 0.020000
Training Epoch: 27 [18752/49812]	Loss: 1.0032	LR: 0.020000
Training Epoch: 27 [18816/49812]	Loss: 0.7971	LR: 0.020000
Training Epoch: 27 [18880/49812]	Loss: 0.8044	LR: 0.020000
Training Epoch: 27 [18944/49812]	Loss: 0.6991	LR: 0.020000
Training Epoch: 27 [19008/49812]	Loss: 1.0721	LR: 0.020000
Training Epoch: 27 [19072/49812]	Loss: 0.7163	LR: 0.020000
Training Epoch: 27 [19136/49812]	Loss: 0.6873	LR: 0.020000
Training Epoch: 27 [19200/49812]	Loss: 1.0179	LR: 0.020000
Training Epoch: 27 [19264/49812]	Loss: 0.9572	LR: 0.020000
Training Epoch: 27 [19328/49812]	Loss: 0.8865	LR: 0.020000
Training Epoch: 27 [19392/49812]	Loss: 0.6701	LR: 0.020000
Training Epoch: 27 [19456/49812]	Loss: 0.9468	LR: 0.020000
Training Epoch: 27 [19520/49812]	Loss: 0.8760	LR: 0.020000
Training Epoch: 27 [19584/49812]	Loss: 0.6910	LR: 0.020000
Training Epoch: 27 [19648/49812]	Loss: 0.6693	LR: 0.020000
Training Epoch: 27 [19712/49812]	Loss: 0.9506	LR: 0.020000
Training Epoch: 27 [19776/49812]	Loss: 0.7252	LR: 0.020000
Training Epoch: 27 [19840/49812]	Loss: 0.6935	LR: 0.020000
Training Epoch: 27 [19904/49812]	Loss: 0.8934	LR: 0.020000
Training Epoch: 27 [19968/49812]	Loss: 0.9234	LR: 0.020000
Training Epoch: 27 [20032/49812]	Loss: 0.7019	LR: 0.020000
Training Epoch: 27 [20096/49812]	Loss: 0.8378	LR: 0.020000
Training Epoch: 27 [20160/49812]	Loss: 1.1899	LR: 0.020000
Training Epoch: 27 [20224/49812]	Loss: 0.5538	LR: 0.020000
Training Epoch: 27 [20288/49812]	Loss: 0.7429	LR: 0.020000
Training Epoch: 27 [20352/49812]	Loss: 0.7211	LR: 0.020000
Training Epoch: 27 [20416/49812]	Loss: 0.7397	LR: 0.020000
Training Epoch: 27 [20480/49812]	Loss: 0.6871	LR: 0.020000
Training Epoch: 27 [20544/49812]	Loss: 0.7362	LR: 0.020000
Training Epoch: 27 [20608/49812]	Loss: 0.8328	LR: 0.020000
Training Epoch: 27 [20672/49812]	Loss: 1.3197	LR: 0.020000
Training Epoch: 27 [20736/49812]	Loss: 0.6688	LR: 0.020000
Training Epoch: 27 [20800/49812]	Loss: 0.7947	LR: 0.020000
Training Epoch: 27 [20864/49812]	Loss: 0.5533	LR: 0.020000
Training Epoch: 27 [20928/49812]	Loss: 0.8456	LR: 0.020000
Training Epoch: 27 [20992/49812]	Loss: 0.7776	LR: 0.020000
Training Epoch: 27 [21056/49812]	Loss: 0.8394	LR: 0.020000
Training Epoch: 27 [21120/49812]	Loss: 0.9259	LR: 0.020000
Training Epoch: 27 [21184/49812]	Loss: 0.8087	LR: 0.020000
Training Epoch: 27 [21248/49812]	Loss: 0.6784	LR: 0.020000
Training Epoch: 27 [21312/49812]	Loss: 0.6481	LR: 0.020000
Training Epoch: 27 [21376/49812]	Loss: 1.1302	LR: 0.020000
Training Epoch: 27 [21440/49812]	Loss: 0.7795	LR: 0.020000
Training Epoch: 27 [21504/49812]	Loss: 0.9103	LR: 0.020000
Training Epoch: 27 [21568/49812]	Loss: 0.9849	LR: 0.020000
Training Epoch: 27 [21632/49812]	Loss: 1.0117	LR: 0.020000
Training Epoch: 27 [21696/49812]	Loss: 0.7714	LR: 0.020000
Training Epoch: 27 [21760/49812]	Loss: 0.5617	LR: 0.020000
Training Epoch: 27 [21824/49812]	Loss: 0.6418	LR: 0.020000
Training Epoch: 27 [21888/49812]	Loss: 0.9587	LR: 0.020000
Training Epoch: 27 [21952/49812]	Loss: 0.6743	LR: 0.020000
Training Epoch: 27 [22016/49812]	Loss: 0.7300	LR: 0.020000
Training Epoch: 27 [22080/49812]	Loss: 0.8797	LR: 0.020000
Training Epoch: 27 [22144/49812]	Loss: 0.6641	LR: 0.020000
Training Epoch: 27 [22208/49812]	Loss: 1.0455	LR: 0.020000
Training Epoch: 27 [22272/49812]	Loss: 0.8645	LR: 0.020000
Training Epoch: 27 [22336/49812]	Loss: 0.6881	LR: 0.020000
Training Epoch: 27 [22400/49812]	Loss: 0.6720	LR: 0.020000
Training Epoch: 27 [22464/49812]	Loss: 0.8390	LR: 0.020000
Training Epoch: 27 [22528/49812]	Loss: 0.8533	LR: 0.020000
Training Epoch: 27 [22592/49812]	Loss: 0.7869	LR: 0.020000
Training Epoch: 27 [22656/49812]	Loss: 0.7987	LR: 0.020000
Training Epoch: 27 [22720/49812]	Loss: 0.7201	LR: 0.020000
Training Epoch: 27 [22784/49812]	Loss: 0.8978	LR: 0.020000
Training Epoch: 27 [22848/49812]	Loss: 0.7776	LR: 0.020000
Training Epoch: 27 [22912/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 27 [22976/49812]	Loss: 0.7030	LR: 0.020000
Training Epoch: 27 [23040/49812]	Loss: 0.8436	LR: 0.020000
Training Epoch: 27 [23104/49812]	Loss: 0.9812	LR: 0.020000
Training Epoch: 27 [23168/49812]	Loss: 1.0285	LR: 0.020000
Training Epoch: 27 [23232/49812]	Loss: 0.9272	LR: 0.020000
Training Epoch: 27 [23296/49812]	Loss: 0.5501	LR: 0.020000
Training Epoch: 27 [23360/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 27 [23424/49812]	Loss: 0.6049	LR: 0.020000
Training Epoch: 27 [23488/49812]	Loss: 0.9259	LR: 0.020000
Training Epoch: 27 [23552/49812]	Loss: 0.8221	LR: 0.020000
Training Epoch: 27 [23616/49812]	Loss: 0.8700	LR: 0.020000
Training Epoch: 27 [23680/49812]	Loss: 0.7844	LR: 0.020000
Training Epoch: 27 [23744/49812]	Loss: 0.5645	LR: 0.020000
Training Epoch: 27 [23808/49812]	Loss: 0.8421	LR: 0.020000
Training Epoch: 27 [23872/49812]	Loss: 0.6777	LR: 0.020000
Training Epoch: 27 [23936/49812]	Loss: 1.1504	LR: 0.020000
Training Epoch: 27 [24000/49812]	Loss: 0.8929	LR: 0.020000
Training Epoch: 27 [24064/49812]	Loss: 0.8097	LR: 0.020000
Training Epoch: 27 [24128/49812]	Loss: 0.6898	LR: 0.020000
Training Epoch: 27 [24192/49812]	Loss: 0.7347	LR: 0.020000
Training Epoch: 27 [24256/49812]	Loss: 0.9512	LR: 0.020000
Training Epoch: 27 [24320/49812]	Loss: 0.7930	LR: 0.020000
Training Epoch: 27 [24384/49812]	Loss: 0.6089	LR: 0.020000
Training Epoch: 27 [24448/49812]	Loss: 1.2000	LR: 0.020000
Training Epoch: 27 [24512/49812]	Loss: 0.8875	LR: 0.020000
Training Epoch: 27 [24576/49812]	Loss: 0.7009	LR: 0.020000
Training Epoch: 27 [24640/49812]	Loss: 0.7839	LR: 0.020000
Training Epoch: 27 [24704/49812]	Loss: 0.9073	LR: 0.020000
Training Epoch: 27 [24768/49812]	Loss: 0.8473	LR: 0.020000
Training Epoch: 27 [24832/49812]	Loss: 0.6859	LR: 0.020000
Training Epoch: 27 [24896/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 27 [24960/49812]	Loss: 0.7592	LR: 0.020000
Training Epoch: 27 [25024/49812]	Loss: 0.8638	LR: 0.020000
Training Epoch: 27 [25088/49812]	Loss: 0.5154	LR: 0.020000
Training Epoch: 27 [25152/49812]	Loss: 1.1718	LR: 0.020000
Training Epoch: 27 [25216/49812]	Loss: 0.4671	LR: 0.020000
Training Epoch: 27 [25280/49812]	Loss: 0.5315	LR: 0.020000
Training Epoch: 27 [25344/49812]	Loss: 1.0009	LR: 0.020000
Training Epoch: 27 [25408/49812]	Loss: 0.9242	LR: 0.020000
Training Epoch: 27 [25472/49812]	Loss: 0.8942	LR: 0.020000
Training Epoch: 27 [25536/49812]	Loss: 0.6642	LR: 0.020000
Training Epoch: 27 [25600/49812]	Loss: 0.9365	LR: 0.020000
Training Epoch: 27 [25664/49812]	Loss: 0.5645	LR: 0.020000
Training Epoch: 27 [25728/49812]	Loss: 0.8252	LR: 0.020000
Training Epoch: 27 [25792/49812]	Loss: 0.8528	LR: 0.020000
Training Epoch: 27 [25856/49812]	Loss: 1.0416	LR: 0.020000
Training Epoch: 27 [25920/49812]	Loss: 0.8433	LR: 0.020000
Training Epoch: 27 [25984/49812]	Loss: 0.8208	LR: 0.020000
Training Epoch: 27 [26048/49812]	Loss: 1.0773	LR: 0.020000
Training Epoch: 27 [26112/49812]	Loss: 0.8563	LR: 0.020000
Training Epoch: 27 [26176/49812]	Loss: 0.9303	LR: 0.020000
Training Epoch: 27 [26240/49812]	Loss: 0.8164	LR: 0.020000
Training Epoch: 27 [26304/49812]	Loss: 0.7958	LR: 0.020000
Training Epoch: 27 [26368/49812]	Loss: 0.9090	LR: 0.020000
Training Epoch: 27 [26432/49812]	Loss: 0.7913	LR: 0.020000
Training Epoch: 27 [26496/49812]	Loss: 0.6939	LR: 0.020000
Training Epoch: 27 [26560/49812]	Loss: 0.7390	LR: 0.020000
Training Epoch: 27 [26624/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 27 [26688/49812]	Loss: 1.0069	LR: 0.020000
Training Epoch: 27 [26752/49812]	Loss: 0.6241	LR: 0.020000
Training Epoch: 27 [26816/49812]	Loss: 0.8240	LR: 0.020000
Training Epoch: 27 [26880/49812]	Loss: 0.7615	LR: 0.020000
Training Epoch: 27 [26944/49812]	Loss: 0.6747	LR: 0.020000
Training Epoch: 27 [27008/49812]	Loss: 1.1493	LR: 0.020000
Training Epoch: 27 [27072/49812]	Loss: 0.6112	LR: 0.020000
Training Epoch: 27 [27136/49812]	Loss: 0.7390	LR: 0.020000
Training Epoch: 27 [27200/49812]	Loss: 0.9230	LR: 0.020000
Training Epoch: 27 [27264/49812]	Loss: 0.7455	LR: 0.020000
Training Epoch: 27 [27328/49812]	Loss: 0.7350	LR: 0.020000
Training Epoch: 27 [27392/49812]	Loss: 0.9062	LR: 0.020000
Training Epoch: 27 [27456/49812]	Loss: 0.8578	LR: 0.020000
Training Epoch: 27 [27520/49812]	Loss: 1.0156	LR: 0.020000
Training Epoch: 27 [27584/49812]	Loss: 1.1707	LR: 0.020000
Training Epoch: 27 [27648/49812]	Loss: 0.7551	LR: 0.020000
Training Epoch: 27 [27712/49812]	Loss: 0.9257	LR: 0.020000
Training Epoch: 27 [27776/49812]	Loss: 1.0762	LR: 0.020000
Training Epoch: 27 [27840/49812]	Loss: 0.8048	LR: 0.020000
Training Epoch: 27 [27904/49812]	Loss: 0.8595	LR: 0.020000
Training Epoch: 27 [27968/49812]	Loss: 0.7323	LR: 0.020000
Training Epoch: 27 [28032/49812]	Loss: 0.7839	LR: 0.020000
Training Epoch: 27 [28096/49812]	Loss: 0.9143	LR: 0.020000
Training Epoch: 27 [28160/49812]	Loss: 0.8508	LR: 0.020000
Training Epoch: 27 [28224/49812]	Loss: 0.7494	LR: 0.020000
Training Epoch: 27 [28288/49812]	Loss: 0.8441	LR: 0.020000
Training Epoch: 27 [28352/49812]	Loss: 0.6879	LR: 0.020000
Training Epoch: 27 [28416/49812]	Loss: 0.5657	LR: 0.020000
Training Epoch: 27 [28480/49812]	Loss: 0.6300	LR: 0.020000
Training Epoch: 27 [28544/49812]	Loss: 0.5573	LR: 0.020000
Training Epoch: 27 [28608/49812]	Loss: 1.0457	LR: 0.020000
Training Epoch: 27 [28672/49812]	Loss: 1.0762	LR: 0.020000
Training Epoch: 27 [28736/49812]	Loss: 0.8460	LR: 0.020000
Training Epoch: 27 [28800/49812]	Loss: 0.8539	LR: 0.020000
Training Epoch: 27 [28864/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 27 [28928/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 27 [28992/49812]	Loss: 0.7001	LR: 0.020000
Training Epoch: 27 [29056/49812]	Loss: 0.9361	LR: 0.020000
Training Epoch: 27 [29120/49812]	Loss: 1.2063	LR: 0.020000
Training Epoch: 27 [29184/49812]	Loss: 0.9093	LR: 0.020000
Training Epoch: 27 [29248/49812]	Loss: 1.1302	LR: 0.020000
Training Epoch: 27 [29312/49812]	Loss: 0.7720	LR: 0.020000
Training Epoch: 27 [29376/49812]	Loss: 0.9813	LR: 0.020000
Training Epoch: 27 [29440/49812]	Loss: 0.8350	LR: 0.020000
Training Epoch: 27 [29504/49812]	Loss: 0.6418	LR: 0.020000
Training Epoch: 27 [29568/49812]	Loss: 0.9388	LR: 0.020000
Training Epoch: 27 [29632/49812]	Loss: 0.5949	LR: 0.020000
Training Epoch: 27 [29696/49812]	Loss: 0.6015	LR: 0.020000
Training Epoch: 27 [29760/49812]	Loss: 0.8812	LR: 0.020000
Training Epoch: 27 [29824/49812]	Loss: 0.9912	LR: 0.020000
Training Epoch: 27 [29888/49812]	Loss: 0.5039	LR: 0.020000
Training Epoch: 27 [29952/49812]	Loss: 0.7577	LR: 0.020000
Training Epoch: 27 [30016/49812]	Loss: 0.5334	LR: 0.020000
Training Epoch: 27 [30080/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 27 [30144/49812]	Loss: 0.7160	LR: 0.020000
Training Epoch: 27 [30208/49812]	Loss: 0.9067	LR: 0.020000
Training Epoch: 27 [30272/49812]	Loss: 0.7553	LR: 0.020000
Training Epoch: 27 [30336/49812]	Loss: 0.5816	LR: 0.020000
Training Epoch: 27 [30400/49812]	Loss: 0.6771	LR: 0.020000
Training Epoch: 27 [30464/49812]	Loss: 0.7364	LR: 0.020000
Training Epoch: 27 [30528/49812]	Loss: 0.7666	LR: 0.020000
Training Epoch: 27 [30592/49812]	Loss: 0.7357	LR: 0.020000
Training Epoch: 27 [30656/49812]	Loss: 0.6368	LR: 0.020000
Training Epoch: 27 [30720/49812]	Loss: 0.7469	LR: 0.020000
Training Epoch: 27 [30784/49812]	Loss: 0.9560	LR: 0.020000
Training Epoch: 27 [30848/49812]	Loss: 1.0046	LR: 0.020000
Training Epoch: 27 [30912/49812]	Loss: 0.7123	LR: 0.020000
Training Epoch: 27 [30976/49812]	Loss: 0.7633	LR: 0.020000
Training Epoch: 27 [31040/49812]	Loss: 0.7675	LR: 0.020000
Training Epoch: 27 [31104/49812]	Loss: 0.7576	LR: 0.020000
Training Epoch: 27 [31168/49812]	Loss: 0.9276	LR: 0.020000
Training Epoch: 27 [31232/49812]	Loss: 0.4846	LR: 0.020000
Training Epoch: 27 [31296/49812]	Loss: 0.7604	LR: 0.020000
Training Epoch: 27 [31360/49812]	Loss: 0.6717	LR: 0.020000
Training Epoch: 27 [31424/49812]	Loss: 1.0493	LR: 0.020000
Training Epoch: 27 [31488/49812]	Loss: 0.6952	LR: 0.020000
Training Epoch: 27 [31552/49812]	Loss: 0.6169	LR: 0.020000
Training Epoch: 27 [31616/49812]	Loss: 0.7237	LR: 0.020000
Training Epoch: 27 [31680/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 27 [31744/49812]	Loss: 0.8350	LR: 0.020000
Training Epoch: 27 [31808/49812]	Loss: 1.0821	LR: 0.020000
Training Epoch: 27 [31872/49812]	Loss: 1.0034	LR: 0.020000
Training Epoch: 27 [31936/49812]	Loss: 0.8235	LR: 0.020000
Training Epoch: 27 [32000/49812]	Loss: 0.6682	LR: 0.020000
Training Epoch: 27 [32064/49812]	Loss: 0.8463	LR: 0.020000
Training Epoch: 27 [32128/49812]	Loss: 0.9603	LR: 0.020000
Training Epoch: 27 [32192/49812]	Loss: 0.8032	LR: 0.020000
Training Epoch: 27 [32256/49812]	Loss: 1.0676	LR: 0.020000
Training Epoch: 27 [32320/49812]	Loss: 0.6582	LR: 0.020000
Training Epoch: 27 [32384/49812]	Loss: 0.5879	LR: 0.020000
Training Epoch: 27 [32448/49812]	Loss: 0.8360	LR: 0.020000
Training Epoch: 27 [32512/49812]	Loss: 0.9662	LR: 0.020000
Training Epoch: 27 [32576/49812]	Loss: 0.9027	LR: 0.020000
Training Epoch: 27 [32640/49812]	Loss: 0.9124	LR: 0.020000
Training Epoch: 27 [32704/49812]	Loss: 0.7596	LR: 0.020000
Training Epoch: 27 [32768/49812]	Loss: 0.6618	LR: 0.020000
Training Epoch: 27 [32832/49812]	Loss: 0.9179	LR: 0.020000
Training Epoch: 27 [32896/49812]	Loss: 0.7305	LR: 0.020000
Training Epoch: 27 [32960/49812]	Loss: 0.8389	LR: 0.020000
Training Epoch: 27 [33024/49812]	Loss: 0.7241	LR: 0.020000
Training Epoch: 27 [33088/49812]	Loss: 0.5606	LR: 0.020000
Training Epoch: 27 [33152/49812]	Loss: 0.6418	LR: 0.020000
Training Epoch: 27 [33216/49812]	Loss: 0.7669	LR: 0.020000
Training Epoch: 27 [33280/49812]	Loss: 1.0690	LR: 0.020000
Training Epoch: 27 [33344/49812]	Loss: 1.0006	LR: 0.020000
Training Epoch: 27 [33408/49812]	Loss: 0.9897	LR: 0.020000
Training Epoch: 27 [33472/49812]	Loss: 0.8173	LR: 0.020000
Training Epoch: 27 [33536/49812]	Loss: 0.8834	LR: 0.020000
Training Epoch: 27 [33600/49812]	Loss: 0.9553	LR: 0.020000
Training Epoch: 27 [33664/49812]	Loss: 1.1284	LR: 0.020000
Training Epoch: 27 [33728/49812]	Loss: 0.9007	LR: 0.020000
Training Epoch: 27 [33792/49812]	Loss: 0.7983	LR: 0.020000
Training Epoch: 27 [33856/49812]	Loss: 0.9453	LR: 0.020000
Training Epoch: 27 [33920/49812]	Loss: 0.7204	LR: 0.020000
Training Epoch: 27 [33984/49812]	Loss: 0.7174	LR: 0.020000
Training Epoch: 27 [34048/49812]	Loss: 1.1672	LR: 0.020000
Training Epoch: 27 [34112/49812]	Loss: 1.0140	LR: 0.020000
Training Epoch: 27 [34176/49812]	Loss: 1.0689	LR: 0.020000
Training Epoch: 27 [34240/49812]	Loss: 0.8614	LR: 0.020000
Training Epoch: 27 [34304/49812]	Loss: 0.8692	LR: 0.020000
Training Epoch: 27 [34368/49812]	Loss: 0.9914	LR: 0.020000
Training Epoch: 27 [34432/49812]	Loss: 0.9699	LR: 0.020000
Training Epoch: 27 [34496/49812]	Loss: 0.7395	LR: 0.020000
Training Epoch: 27 [34560/49812]	Loss: 0.8633	LR: 0.020000
Training Epoch: 27 [34624/49812]	Loss: 1.2254	LR: 0.020000
Training Epoch: 27 [34688/49812]	Loss: 0.8605	LR: 0.020000
Training Epoch: 27 [34752/49812]	Loss: 0.8928	LR: 0.020000
Training Epoch: 27 [34816/49812]	Loss: 0.7420	LR: 0.020000
Training Epoch: 27 [34880/49812]	Loss: 1.0205	LR: 0.020000
Training Epoch: 27 [34944/49812]	Loss: 0.7463	LR: 0.020000
Training Epoch: 27 [35008/49812]	Loss: 0.8943	LR: 0.020000
Training Epoch: 27 [35072/49812]	Loss: 0.8016	LR: 0.020000
Training Epoch: 27 [35136/49812]	Loss: 0.7607	LR: 0.020000
Training Epoch: 27 [35200/49812]	Loss: 1.0933	LR: 0.020000
Training Epoch: 27 [35264/49812]	Loss: 0.7957	LR: 0.020000
Training Epoch: 27 [35328/49812]	Loss: 0.6801	LR: 0.020000
Training Epoch: 27 [35392/49812]	Loss: 0.6488	LR: 0.020000
Training Epoch: 27 [35456/49812]	Loss: 0.8366	LR: 0.020000
Training Epoch: 27 [35520/49812]	Loss: 0.9418	LR: 0.020000
Training Epoch: 27 [35584/49812]	Loss: 0.6719	LR: 0.020000
Training Epoch: 27 [35648/49812]	Loss: 1.0686	LR: 0.020000
Training Epoch: 27 [35712/49812]	Loss: 0.7724	LR: 0.020000
Training Epoch: 27 [35776/49812]	Loss: 0.7716	LR: 0.020000
Training Epoch: 27 [35840/49812]	Loss: 0.8410	LR: 0.020000
Training Epoch: 27 [35904/49812]	Loss: 0.9423	LR: 0.020000
Training Epoch: 27 [35968/49812]	Loss: 0.7451	LR: 0.020000
Training Epoch: 27 [36032/49812]	Loss: 0.7837	LR: 0.020000
Training Epoch: 27 [36096/49812]	Loss: 0.7988	LR: 0.020000
Training Epoch: 27 [36160/49812]	Loss: 0.8647	LR: 0.020000
Training Epoch: 27 [36224/49812]	Loss: 0.8387	LR: 0.020000
Training Epoch: 27 [36288/49812]	Loss: 0.7332	LR: 0.020000
Training Epoch: 27 [36352/49812]	Loss: 0.7191	LR: 0.020000
Training Epoch: 27 [36416/49812]	Loss: 0.5953	LR: 0.020000
Training Epoch: 27 [36480/49812]	Loss: 1.0048	LR: 0.020000
Training Epoch: 27 [36544/49812]	Loss: 0.8697	LR: 0.020000
Training Epoch: 27 [36608/49812]	Loss: 0.8383	LR: 0.020000
Training Epoch: 27 [36672/49812]	Loss: 0.7257	LR: 0.020000
Training Epoch: 27 [36736/49812]	Loss: 0.7086	LR: 0.020000
Training Epoch: 27 [36800/49812]	Loss: 0.7748	LR: 0.020000
Training Epoch: 27 [36864/49812]	Loss: 0.8384	LR: 0.020000
Training Epoch: 27 [36928/49812]	Loss: 0.9692	LR: 0.020000
Training Epoch: 27 [36992/49812]	Loss: 0.9351	LR: 0.020000
Training Epoch: 27 [37056/49812]	Loss: 0.7512	LR: 0.020000
Training Epoch: 27 [37120/49812]	Loss: 0.9930	LR: 0.020000
Training Epoch: 27 [37184/49812]	Loss: 0.7546	LR: 0.020000
Training Epoch: 27 [37248/49812]	Loss: 0.7869	LR: 0.020000
Training Epoch: 27 [37312/49812]	Loss: 0.7096	LR: 0.020000
Training Epoch: 27 [37376/49812]	Loss: 0.9376	LR: 0.020000
Training Epoch: 27 [37440/49812]	Loss: 0.7590	LR: 0.020000
Training Epoch: 27 [37504/49812]	Loss: 0.8147	LR: 0.020000
Training Epoch: 27 [37568/49812]	Loss: 0.9629	LR: 0.020000
Training Epoch: 27 [37632/49812]	Loss: 0.7886	LR: 0.020000
Training Epoch: 27 [37696/49812]	Loss: 0.9807	LR: 0.020000
Training Epoch: 27 [37760/49812]	Loss: 0.7310	LR: 0.020000
Training Epoch: 27 [37824/49812]	Loss: 0.8931	LR: 0.020000
Training Epoch: 27 [37888/49812]	Loss: 0.7356	LR: 0.020000
Training Epoch: 27 [37952/49812]	Loss: 0.9032	LR: 0.020000
Training Epoch: 27 [38016/49812]	Loss: 0.7406	LR: 0.020000
Training Epoch: 27 [38080/49812]	Loss: 0.9589	LR: 0.020000
Training Epoch: 27 [38144/49812]	Loss: 0.9899	LR: 0.020000
Training Epoch: 27 [38208/49812]	Loss: 0.6629	LR: 0.020000
Training Epoch: 27 [38272/49812]	Loss: 0.6924	LR: 0.020000
Training Epoch: 27 [38336/49812]	Loss: 1.0132	LR: 0.020000
Training Epoch: 27 [38400/49812]	Loss: 0.6767	LR: 0.020000
Training Epoch: 27 [38464/49812]	Loss: 0.7121	LR: 0.020000
Training Epoch: 27 [38528/49812]	Loss: 0.6287	LR: 0.020000
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Training Epoch: 27 [38656/49812]	Loss: 0.7405	LR: 0.020000
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Training Epoch: 27 [38784/49812]	Loss: 0.6537	LR: 0.020000
Training Epoch: 27 [38848/49812]	Loss: 0.4903	LR: 0.020000
Training Epoch: 27 [38912/49812]	Loss: 0.6622	LR: 0.020000
Training Epoch: 27 [38976/49812]	Loss: 0.9573	LR: 0.020000
Training Epoch: 27 [39040/49812]	Loss: 0.6607	LR: 0.020000
Training Epoch: 27 [39104/49812]	Loss: 0.7646	LR: 0.020000
Training Epoch: 27 [39168/49812]	Loss: 0.7008	LR: 0.020000
Training Epoch: 27 [39232/49812]	Loss: 1.0451	LR: 0.020000
Training Epoch: 27 [39296/49812]	Loss: 0.6740	LR: 0.020000
Training Epoch: 27 [39360/49812]	Loss: 0.8652	LR: 0.020000
Training Epoch: 27 [39424/49812]	Loss: 0.9135	LR: 0.020000
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Training Epoch: 27 [39552/49812]	Loss: 0.9031	LR: 0.020000
Training Epoch: 27 [39616/49812]	Loss: 0.7318	LR: 0.020000
Training Epoch: 27 [39680/49812]	Loss: 0.8084	LR: 0.020000
Training Epoch: 27 [39744/49812]	Loss: 0.9063	LR: 0.020000
Training Epoch: 27 [39808/49812]	Loss: 0.8903	LR: 0.020000
Training Epoch: 27 [39872/49812]	Loss: 1.0215	LR: 0.020000
Training Epoch: 27 [39936/49812]	Loss: 0.7857	LR: 0.020000
Training Epoch: 27 [40000/49812]	Loss: 0.7351	LR: 0.020000
Training Epoch: 27 [40064/49812]	Loss: 0.7857	LR: 0.020000
Training Epoch: 27 [40128/49812]	Loss: 0.6793	LR: 0.020000
Training Epoch: 27 [40192/49812]	Loss: 0.9278	LR: 0.020000
Training Epoch: 27 [40256/49812]	Loss: 0.8863	LR: 0.020000
Training Epoch: 27 [40320/49812]	Loss: 1.0558	LR: 0.020000
Training Epoch: 27 [40384/49812]	Loss: 0.7912	LR: 0.020000
Training Epoch: 27 [40448/49812]	Loss: 0.6058	LR: 0.020000
Training Epoch: 27 [40512/49812]	Loss: 0.6291	LR: 0.020000
Training Epoch: 27 [40576/49812]	Loss: 0.6582	LR: 0.020000
Training Epoch: 27 [40640/49812]	Loss: 0.7697	LR: 0.020000
Training Epoch: 27 [40704/49812]	Loss: 0.8266	LR: 0.020000
Training Epoch: 27 [40768/49812]	Loss: 0.8146	LR: 0.020000
Training Epoch: 27 [40832/49812]	Loss: 0.9460	LR: 0.020000
Training Epoch: 27 [40896/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 27 [40960/49812]	Loss: 1.0951	LR: 0.020000
Training Epoch: 27 [41024/49812]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [41088/49812]	Loss: 1.0457	LR: 0.020000
Training Epoch: 27 [41152/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 27 [41216/49812]	Loss: 0.7749	LR: 0.020000
Training Epoch: 27 [41280/49812]	Loss: 0.7728	LR: 0.020000
Training Epoch: 27 [41344/49812]	Loss: 0.7707	LR: 0.020000
Training Epoch: 27 [41408/49812]	Loss: 1.0829	LR: 0.020000
Training Epoch: 27 [41472/49812]	Loss: 0.7443	LR: 0.020000
Training Epoch: 27 [41536/49812]	Loss: 0.7875	LR: 0.020000
Training Epoch: 27 [41600/49812]	Loss: 0.7513	LR: 0.020000
Training Epoch: 27 [41664/49812]	Loss: 0.8261	LR: 0.020000
Training Epoch: 27 [41728/49812]	Loss: 1.0030	LR: 0.020000
Training Epoch: 27 [41792/49812]	Loss: 0.7969	LR: 0.020000
Training Epoch: 27 [41856/49812]	Loss: 0.7862	LR: 0.020000
Training Epoch: 27 [41920/49812]	Loss: 0.9728	LR: 0.020000
Training Epoch: 27 [41984/49812]	Loss: 0.6658	LR: 0.020000
Training Epoch: 27 [42048/49812]	Loss: 0.9440	LR: 0.020000
Training Epoch: 27 [42112/49812]	Loss: 0.9364	LR: 0.020000
Training Epoch: 27 [42176/49812]	Loss: 0.7442	LR: 0.020000
Training Epoch: 27 [42240/49812]	Loss: 0.8031	LR: 0.020000
Training Epoch: 27 [42304/49812]	Loss: 0.9562	LR: 0.020000
Training Epoch: 27 [42368/49812]	Loss: 0.8297	LR: 0.020000
Training Epoch: 27 [42432/49812]	Loss: 0.6909	LR: 0.020000
Training Epoch: 27 [42496/49812]	Loss: 0.9737	LR: 0.020000
Training Epoch: 27 [42560/49812]	Loss: 0.7033	LR: 0.020000
Training Epoch: 27 [42624/49812]	Loss: 1.0267	LR: 0.020000
Training Epoch: 27 [42688/49812]	Loss: 0.8587	LR: 0.020000
Training Epoch: 27 [42752/49812]	Loss: 0.6665	LR: 0.020000
Training Epoch: 27 [42816/49812]	Loss: 0.6796	LR: 0.020000
Training Epoch: 27 [42880/49812]	Loss: 0.7791	LR: 0.020000
Training Epoch: 27 [42944/49812]	Loss: 0.7352	LR: 0.020000
Training Epoch: 27 [43008/49812]	Loss: 0.6933	LR: 0.020000
Training Epoch: 27 [43072/49812]	Loss: 0.9098	LR: 0.020000
Training Epoch: 27 [43136/49812]	Loss: 0.7518	LR: 0.020000
Training Epoch: 27 [43200/49812]	Loss: 0.8728	LR: 0.020000
Training Epoch: 27 [43264/49812]	Loss: 0.6006	LR: 0.020000
Training Epoch: 27 [43328/49812]	Loss: 0.6093	LR: 0.020000
Training Epoch: 27 [43392/49812]	Loss: 0.9237	LR: 0.020000
Training Epoch: 27 [43456/49812]	Loss: 0.7081	LR: 0.020000
Training Epoch: 27 [43520/49812]	Loss: 0.9314	LR: 0.020000
Training Epoch: 27 [43584/49812]	Loss: 0.7401	LR: 0.020000
Training Epoch: 27 [43648/49812]	Loss: 0.7254	LR: 0.020000
Training Epoch: 27 [43712/49812]	Loss: 0.7884	LR: 0.020000
Training Epoch: 27 [43776/49812]	Loss: 0.9042	LR: 0.020000
Training Epoch: 27 [43840/49812]	Loss: 0.7239	LR: 0.020000
Training Epoch: 27 [43904/49812]	Loss: 0.7909	LR: 0.020000
Training Epoch: 27 [43968/49812]	Loss: 0.7849	LR: 0.020000
Training Epoch: 27 [44032/49812]	Loss: 0.7616	LR: 0.020000
Training Epoch: 27 [44096/49812]	Loss: 1.0238	LR: 0.020000
Training Epoch: 27 [44160/49812]	Loss: 1.0451	LR: 0.020000
Training Epoch: 27 [44224/49812]	Loss: 0.7380	LR: 0.020000
Training Epoch: 27 [44288/49812]	Loss: 1.0934	LR: 0.020000
Training Epoch: 27 [44352/49812]	Loss: 0.9291	LR: 0.020000
Training Epoch: 27 [44416/49812]	Loss: 0.9598	LR: 0.020000
Training Epoch: 27 [44480/49812]	Loss: 0.5629	LR: 0.020000
Training Epoch: 27 [44544/49812]	Loss: 0.8619	LR: 0.020000
Training Epoch: 27 [44608/49812]	Loss: 0.6667	LR: 0.020000
Training Epoch: 27 [44672/49812]	Loss: 1.0333	LR: 0.020000
Training Epoch: 27 [44736/49812]	Loss: 0.8012	LR: 0.020000
Training Epoch: 27 [44800/49812]	Loss: 0.6672	LR: 0.020000
Training Epoch: 27 [44864/49812]	Loss: 0.7660	LR: 0.020000
Training Epoch: 27 [44928/49812]	Loss: 0.6872	LR: 0.020000
Training Epoch: 27 [44992/49812]	Loss: 0.9467	LR: 0.020000
Training Epoch: 27 [45056/49812]	Loss: 0.9024	LR: 0.020000
Training Epoch: 27 [45120/49812]	Loss: 0.7054	LR: 0.020000
Training Epoch: 27 [45184/49812]	Loss: 0.7188	LR: 0.020000
Training Epoch: 27 [45248/49812]	Loss: 0.7207	LR: 0.020000
Training Epoch: 27 [45312/49812]	Loss: 0.6902	LR: 0.020000
Training Epoch: 27 [45376/49812]	Loss: 0.7422	LR: 0.020000
Training Epoch: 27 [45440/49812]	Loss: 0.7123	LR: 0.020000
Training Epoch: 27 [45504/49812]	Loss: 0.9466	LR: 0.020000
Training Epoch: 27 [45568/49812]	Loss: 0.8251	LR: 0.020000
Training Epoch: 27 [45632/49812]	Loss: 0.7623	LR: 0.020000
Training Epoch: 27 [45696/49812]	Loss: 0.8690	LR: 0.020000
Training Epoch: 27 [45760/49812]	Loss: 1.1498	LR: 0.020000
Training Epoch: 27 [45824/49812]	Loss: 0.7847	LR: 0.020000
Training Epoch: 27 [45888/49812]	Loss: 0.6783	LR: 0.020000
Training Epoch: 27 [45952/49812]	Loss: 0.8262	LR: 0.020000
Training Epoch: 27 [46016/49812]	Loss: 0.8348	LR: 0.020000
Training Epoch: 27 [46080/49812]	Loss: 0.9682	LR: 0.020000
Training Epoch: 27 [46144/49812]	Loss: 0.8857	LR: 0.020000
Training Epoch: 27 [46208/49812]	Loss: 0.8533	LR: 0.020000
Training Epoch: 27 [46272/49812]	Loss: 0.9749	LR: 0.020000
Training Epoch: 27 [46336/49812]	Loss: 0.8617	LR: 0.020000
Training Epoch: 27 [46400/49812]	Loss: 0.6376	LR: 0.020000
Training Epoch: 27 [46464/49812]	Loss: 0.9789	LR: 0.020000
Training Epoch: 27 [46528/49812]	Loss: 1.0430	LR: 0.020000
Training Epoch: 27 [46592/49812]	Loss: 0.7243	LR: 0.020000
Training Epoch: 27 [46656/49812]	Loss: 1.1281	LR: 0.020000
Training Epoch: 27 [46720/49812]	Loss: 0.7236	LR: 0.020000
Training Epoch: 27 [46784/49812]	Loss: 0.6665	LR: 0.020000
Training Epoch: 27 [46848/49812]	Loss: 0.6516	LR: 0.020000
Training Epoch: 27 [46912/49812]	Loss: 1.0952	LR: 0.020000
Training Epoch: 27 [46976/49812]	Loss: 0.6159	LR: 0.020000
Training Epoch: 27 [47040/49812]	Loss: 0.7732	LR: 0.020000
Training Epoch: 27 [47104/49812]	Loss: 0.8704	LR: 0.020000
Training Epoch: 27 [47168/49812]	Loss: 1.0606	LR: 0.020000
Training Epoch: 27 [47232/49812]	Loss: 1.0065	LR: 0.020000
Training Epoch: 27 [47296/49812]	Loss: 0.6246	LR: 0.020000
Training Epoch: 27 [47360/49812]	Loss: 0.6159	LR: 0.020000
Training Epoch: 27 [47424/49812]	Loss: 0.7327	LR: 0.020000
Training Epoch: 27 [47488/49812]	Loss: 0.9722	LR: 0.020000
Training Epoch: 27 [47552/49812]	Loss: 0.7882	LR: 0.020000
Training Epoch: 27 [47616/49812]	Loss: 0.7407	LR: 0.020000
Training Epoch: 27 [47680/49812]	Loss: 0.8422	LR: 0.020000
Training Epoch: 27 [47744/49812]	Loss: 0.7963	LR: 0.020000
Training Epoch: 27 [47808/49812]	Loss: 0.8375	LR: 0.020000
Training Epoch: 27 [47872/49812]	Loss: 0.6028	LR: 0.020000
Training Epoch: 27 [47936/49812]	Loss: 0.7331	LR: 0.020000
Training Epoch: 27 [48000/49812]	Loss: 0.9163	LR: 0.020000
Training Epoch: 27 [48064/49812]	Loss: 0.9074	LR: 0.020000
Training Epoch: 27 [48128/49812]	Loss: 0.7517	LR: 0.020000
Training Epoch: 27 [48192/49812]	Loss: 0.9668	LR: 0.020000
Training Epoch: 27 [48256/49812]	Loss: 0.8531	LR: 0.020000
Training Epoch: 27 [48320/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 27 [48384/49812]	Loss: 0.8751	LR: 0.020000
Training Epoch: 27 [48448/49812]	Loss: 0.5862	LR: 0.020000
Training Epoch: 27 [48512/49812]	Loss: 0.7370	LR: 0.020000
Training Epoch: 27 [48576/49812]	Loss: 0.6996	LR: 0.020000
Training Epoch: 27 [48640/49812]	Loss: 0.8014	LR: 0.020000
Training Epoch: 27 [48704/49812]	Loss: 0.8085	LR: 0.020000
Training Epoch: 27 [48768/49812]	Loss: 0.6725	LR: 0.020000
Training Epoch: 27 [48832/49812]	Loss: 0.8209	LR: 0.020000
Training Epoch: 27 [48896/49812]	Loss: 0.8355	LR: 0.020000
Training Epoch: 27 [48960/49812]	Loss: 0.9154	LR: 0.020000
Training Epoch: 27 [49024/49812]	Loss: 0.9651	LR: 0.020000
Training Epoch: 27 [49088/49812]	Loss: 1.0277	LR: 0.020000
Training Epoch: 27 [49152/49812]	Loss: 1.1363	LR: 0.020000
Training Epoch: 27 [49216/49812]	Loss: 0.7476	LR: 0.020000
Training Epoch: 27 [49280/49812]	Loss: 0.7954	LR: 0.020000
Training Epoch: 27 [49344/49812]	Loss: 1.0406	LR: 0.020000
Training Epoch: 27 [49408/49812]	Loss: 0.9578	LR: 0.020000
Training Epoch: 27 [49472/49812]	Loss: 0.8969	LR: 0.020000
Training Epoch: 27 [49536/49812]	Loss: 1.1568	LR: 0.020000
Training Epoch: 27 [49600/49812]	Loss: 0.7216	LR: 0.020000
Training Epoch: 27 [49664/49812]	Loss: 0.7615	LR: 0.020000
Training Epoch: 27 [49728/49812]	Loss: 1.0306	LR: 0.020000
Training Epoch: 27 [49792/49812]	Loss: 0.4214	LR: 0.020000
Training Epoch: 27 [49812/49812]	Loss: 0.8657	LR: 0.020000
Epoch 27 - Average Train Loss: 0.8099, Train Accuracy: 0.7386
Epoch 27 training time consumed: 264.44s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0146, Accuracy: 0.7129, Time consumed:16.85s
Training Epoch: 28 [64/49812]	Loss: 0.7965	LR: 0.020000
Training Epoch: 28 [128/49812]	Loss: 0.7361	LR: 0.020000
Training Epoch: 28 [192/49812]	Loss: 0.8998	LR: 0.020000
Training Epoch: 28 [256/49812]	Loss: 1.0454	LR: 0.020000
Training Epoch: 28 [320/49812]	Loss: 1.0934	LR: 0.020000
Training Epoch: 28 [384/49812]	Loss: 0.6398	LR: 0.020000
Training Epoch: 28 [448/49812]	Loss: 0.6995	LR: 0.020000
Training Epoch: 28 [512/49812]	Loss: 0.7609	LR: 0.020000
Training Epoch: 28 [576/49812]	Loss: 0.6004	LR: 0.020000
Training Epoch: 28 [640/49812]	Loss: 0.6427	LR: 0.020000
Training Epoch: 28 [704/49812]	Loss: 0.6828	LR: 0.020000
Training Epoch: 28 [768/49812]	Loss: 0.6264	LR: 0.020000
Training Epoch: 28 [832/49812]	Loss: 0.7818	LR: 0.020000
Training Epoch: 28 [896/49812]	Loss: 0.8660	LR: 0.020000
Training Epoch: 28 [960/49812]	Loss: 0.8889	LR: 0.020000
Training Epoch: 28 [1024/49812]	Loss: 0.7650	LR: 0.020000
Training Epoch: 28 [1088/49812]	Loss: 0.9203	LR: 0.020000
Training Epoch: 28 [1152/49812]	Loss: 0.9024	LR: 0.020000
Training Epoch: 28 [1216/49812]	Loss: 0.6118	LR: 0.020000
Training Epoch: 28 [1280/49812]	Loss: 0.8441	LR: 0.020000
Training Epoch: 28 [1344/49812]	Loss: 0.7532	LR: 0.020000
Training Epoch: 28 [1408/49812]	Loss: 0.9215	LR: 0.020000
Training Epoch: 28 [1472/49812]	Loss: 0.8293	LR: 0.020000
Training Epoch: 28 [1536/49812]	Loss: 0.9432	LR: 0.020000
Training Epoch: 28 [1600/49812]	Loss: 0.5447	LR: 0.020000
Training Epoch: 28 [1664/49812]	Loss: 0.7339	LR: 0.020000
Training Epoch: 28 [1728/49812]	Loss: 0.6355	LR: 0.020000
Training Epoch: 28 [1792/49812]	Loss: 0.6213	LR: 0.020000
Training Epoch: 28 [1856/49812]	Loss: 0.7817	LR: 0.020000
Training Epoch: 28 [1920/49812]	Loss: 0.7801	LR: 0.020000
Training Epoch: 28 [1984/49812]	Loss: 1.0039	LR: 0.020000
Training Epoch: 28 [2048/49812]	Loss: 0.8212	LR: 0.020000
Training Epoch: 28 [2112/49812]	Loss: 0.7662	LR: 0.020000
Training Epoch: 28 [2176/49812]	Loss: 0.9508	LR: 0.020000
Training Epoch: 28 [2240/49812]	Loss: 0.7155	LR: 0.020000
Training Epoch: 28 [2304/49812]	Loss: 0.6174	LR: 0.020000
Training Epoch: 28 [2368/49812]	Loss: 1.0029	LR: 0.020000
Training Epoch: 28 [2432/49812]	Loss: 0.7209	LR: 0.020000
Training Epoch: 28 [2496/49812]	Loss: 0.8319	LR: 0.020000
Training Epoch: 28 [2560/49812]	Loss: 0.8791	LR: 0.020000
Training Epoch: 28 [2624/49812]	Loss: 0.6470	LR: 0.020000
Training Epoch: 28 [2688/49812]	Loss: 0.8566	LR: 0.020000
Training Epoch: 28 [2752/49812]	Loss: 0.7058	LR: 0.020000
Training Epoch: 28 [2816/49812]	Loss: 0.4971	LR: 0.020000
Training Epoch: 28 [2880/49812]	Loss: 0.4990	LR: 0.020000
Training Epoch: 28 [2944/49812]	Loss: 0.7167	LR: 0.020000
Training Epoch: 28 [3008/49812]	Loss: 0.6647	LR: 0.020000
Training Epoch: 28 [3072/49812]	Loss: 0.7117	LR: 0.020000
Training Epoch: 28 [3136/49812]	Loss: 0.8523	LR: 0.020000
Training Epoch: 28 [3200/49812]	Loss: 0.5787	LR: 0.020000
Training Epoch: 28 [3264/49812]	Loss: 0.7697	LR: 0.020000
Training Epoch: 28 [3328/49812]	Loss: 0.7154	LR: 0.020000
Training Epoch: 28 [3392/49812]	Loss: 0.9514	LR: 0.020000
Training Epoch: 28 [3456/49812]	Loss: 1.0847	LR: 0.020000
Training Epoch: 28 [3520/49812]	Loss: 0.7396	LR: 0.020000
Training Epoch: 28 [3584/49812]	Loss: 0.6857	LR: 0.020000
Training Epoch: 28 [3648/49812]	Loss: 0.8329	LR: 0.020000
Training Epoch: 28 [3712/49812]	Loss: 0.6057	LR: 0.020000
Training Epoch: 28 [3776/49812]	Loss: 0.9185	LR: 0.020000
Training Epoch: 28 [3840/49812]	Loss: 1.0298	LR: 0.020000
Training Epoch: 28 [3904/49812]	Loss: 0.8605	LR: 0.020000
Training Epoch: 28 [3968/49812]	Loss: 0.6632	LR: 0.020000
Training Epoch: 28 [4032/49812]	Loss: 0.7490	LR: 0.020000
Training Epoch: 28 [4096/49812]	Loss: 1.0060	LR: 0.020000
Training Epoch: 28 [4160/49812]	Loss: 0.8179	LR: 0.020000
Training Epoch: 28 [4224/49812]	Loss: 0.6821	LR: 0.020000
Training Epoch: 28 [4288/49812]	Loss: 0.9974	LR: 0.020000
Training Epoch: 28 [4352/49812]	Loss: 0.8970	LR: 0.020000
Training Epoch: 28 [4416/49812]	Loss: 1.0353	LR: 0.020000
Training Epoch: 28 [4480/49812]	Loss: 0.7595	LR: 0.020000
Training Epoch: 28 [4544/49812]	Loss: 0.5782	LR: 0.020000
Training Epoch: 28 [4608/49812]	Loss: 0.7092	LR: 0.020000
Training Epoch: 28 [4672/49812]	Loss: 0.5896	LR: 0.020000
Training Epoch: 28 [4736/49812]	Loss: 0.6948	LR: 0.020000
Training Epoch: 28 [4800/49812]	Loss: 1.0000	LR: 0.020000
Training Epoch: 28 [4864/49812]	Loss: 0.5391	LR: 0.020000
Training Epoch: 28 [4928/49812]	Loss: 0.4679	LR: 0.020000
Training Epoch: 28 [4992/49812]	Loss: 0.8765	LR: 0.020000
Training Epoch: 28 [5056/49812]	Loss: 0.6399	LR: 0.020000
Training Epoch: 28 [5120/49812]	Loss: 0.7359	LR: 0.020000
Training Epoch: 28 [5184/49812]	Loss: 0.7147	LR: 0.020000
Training Epoch: 28 [5248/49812]	Loss: 0.8997	LR: 0.020000
Training Epoch: 28 [5312/49812]	Loss: 0.5564	LR: 0.020000
Training Epoch: 28 [5376/49812]	Loss: 0.5635	LR: 0.020000
Training Epoch: 28 [5440/49812]	Loss: 0.9226	LR: 0.020000
Training Epoch: 28 [5504/49812]	Loss: 0.6881	LR: 0.020000
Training Epoch: 28 [5568/49812]	Loss: 0.7986	LR: 0.020000
Training Epoch: 28 [5632/49812]	Loss: 1.0932	LR: 0.020000
Training Epoch: 28 [5696/49812]	Loss: 0.6268	LR: 0.020000
Training Epoch: 28 [5760/49812]	Loss: 0.7271	LR: 0.020000
Training Epoch: 28 [5824/49812]	Loss: 0.7558	LR: 0.020000
Training Epoch: 28 [5888/49812]	Loss: 0.8039	LR: 0.020000
Training Epoch: 28 [5952/49812]	Loss: 1.0345	LR: 0.020000
Training Epoch: 28 [6016/49812]	Loss: 0.8832	LR: 0.020000
Training Epoch: 28 [6080/49812]	Loss: 0.7680	LR: 0.020000
Training Epoch: 28 [6144/49812]	Loss: 0.6610	LR: 0.020000
Training Epoch: 28 [6208/49812]	Loss: 0.7660	LR: 0.020000
Training Epoch: 28 [6272/49812]	Loss: 0.7320	LR: 0.020000
Training Epoch: 28 [6336/49812]	Loss: 0.7262	LR: 0.020000
Training Epoch: 28 [6400/49812]	Loss: 0.9265	LR: 0.020000
Training Epoch: 28 [6464/49812]	Loss: 0.9247	LR: 0.020000
Training Epoch: 28 [6528/49812]	Loss: 0.5011	LR: 0.020000
Training Epoch: 28 [6592/49812]	Loss: 0.7110	LR: 0.020000
Training Epoch: 28 [6656/49812]	Loss: 0.5980	LR: 0.020000
Training Epoch: 28 [6720/49812]	Loss: 1.0223	LR: 0.020000
Training Epoch: 28 [6784/49812]	Loss: 0.7967	LR: 0.020000
Training Epoch: 28 [6848/49812]	Loss: 0.9414	LR: 0.020000
Training Epoch: 28 [6912/49812]	Loss: 0.9958	LR: 0.020000
Training Epoch: 28 [6976/49812]	Loss: 0.8372	LR: 0.020000
Training Epoch: 28 [7040/49812]	Loss: 0.8067	LR: 0.020000
Training Epoch: 28 [7104/49812]	Loss: 0.7698	LR: 0.020000
Training Epoch: 28 [7168/49812]	Loss: 0.6139	LR: 0.020000
Training Epoch: 28 [7232/49812]	Loss: 0.5164	LR: 0.020000
Training Epoch: 28 [7296/49812]	Loss: 0.8809	LR: 0.020000
Training Epoch: 28 [7360/49812]	Loss: 0.9794	LR: 0.020000
Training Epoch: 28 [7424/49812]	Loss: 0.8084	LR: 0.020000
Training Epoch: 28 [7488/49812]	Loss: 0.7106	LR: 0.020000
Training Epoch: 28 [7552/49812]	Loss: 0.8643	LR: 0.020000
Training Epoch: 28 [7616/49812]	Loss: 0.8033	LR: 0.020000
Training Epoch: 28 [7680/49812]	Loss: 0.7714	LR: 0.020000
Training Epoch: 28 [7744/49812]	Loss: 0.5535	LR: 0.020000
Training Epoch: 28 [7808/49812]	Loss: 0.7143	LR: 0.020000
Training Epoch: 28 [7872/49812]	Loss: 0.7522	LR: 0.020000
Training Epoch: 28 [7936/49812]	Loss: 0.8210	LR: 0.020000
Training Epoch: 28 [8000/49812]	Loss: 0.8372	LR: 0.020000
Training Epoch: 28 [8064/49812]	Loss: 0.7317	LR: 0.020000
Training Epoch: 28 [8128/49812]	Loss: 0.8693	LR: 0.020000
Training Epoch: 28 [8192/49812]	Loss: 0.9844	LR: 0.020000
Training Epoch: 28 [8256/49812]	Loss: 0.6935	LR: 0.020000
Training Epoch: 28 [8320/49812]	Loss: 0.5220	LR: 0.020000
Training Epoch: 28 [8384/49812]	Loss: 0.8089	LR: 0.020000
Training Epoch: 28 [8448/49812]	Loss: 0.8657	LR: 0.020000
Training Epoch: 28 [8512/49812]	Loss: 1.0022	LR: 0.020000
Training Epoch: 28 [8576/49812]	Loss: 0.6328	LR: 0.020000
Training Epoch: 28 [8640/49812]	Loss: 0.8984	LR: 0.020000
Training Epoch: 28 [8704/49812]	Loss: 1.0077	LR: 0.020000
Training Epoch: 28 [8768/49812]	Loss: 0.9040	LR: 0.020000
Training Epoch: 28 [8832/49812]	Loss: 0.6063	LR: 0.020000
Training Epoch: 28 [8896/49812]	Loss: 0.7141	LR: 0.020000
Training Epoch: 28 [8960/49812]	Loss: 0.5886	LR: 0.020000
Training Epoch: 28 [9024/49812]	Loss: 0.6582	LR: 0.020000
Training Epoch: 28 [9088/49812]	Loss: 0.8005	LR: 0.020000
Training Epoch: 28 [9152/49812]	Loss: 0.7518	LR: 0.020000
Training Epoch: 28 [9216/49812]	Loss: 0.7117	LR: 0.020000
Training Epoch: 28 [9280/49812]	Loss: 0.9206	LR: 0.020000
Training Epoch: 28 [9344/49812]	Loss: 1.1085	LR: 0.020000
Training Epoch: 28 [9408/49812]	Loss: 0.7299	LR: 0.020000
Training Epoch: 28 [9472/49812]	Loss: 0.9471	LR: 0.020000
Training Epoch: 28 [9536/49812]	Loss: 0.7539	LR: 0.020000
Training Epoch: 28 [9600/49812]	Loss: 0.7527	LR: 0.020000
Training Epoch: 28 [9664/49812]	Loss: 0.5334	LR: 0.020000
Training Epoch: 28 [9728/49812]	Loss: 0.6646	LR: 0.020000
Training Epoch: 28 [9792/49812]	Loss: 0.7699	LR: 0.020000
Training Epoch: 28 [9856/49812]	Loss: 0.8239	LR: 0.020000
Training Epoch: 28 [9920/49812]	Loss: 0.9404	LR: 0.020000
Training Epoch: 28 [9984/49812]	Loss: 0.9589	LR: 0.020000
Training Epoch: 28 [10048/49812]	Loss: 0.8009	LR: 0.020000
Training Epoch: 28 [10112/49812]	Loss: 0.6763	LR: 0.020000
Training Epoch: 28 [10176/49812]	Loss: 0.8739	LR: 0.020000
Training Epoch: 28 [10240/49812]	Loss: 0.7828	LR: 0.020000
Training Epoch: 28 [10304/49812]	Loss: 0.9062	LR: 0.020000
Training Epoch: 28 [10368/49812]	Loss: 0.7994	LR: 0.020000
Training Epoch: 28 [10432/49812]	Loss: 0.8916	LR: 0.020000
Training Epoch: 28 [10496/49812]	Loss: 0.7934	LR: 0.020000
Training Epoch: 28 [10560/49812]	Loss: 0.6970	LR: 0.020000
Training Epoch: 28 [10624/49812]	Loss: 0.8870	LR: 0.020000
Training Epoch: 28 [10688/49812]	Loss: 0.8777	LR: 0.020000
Training Epoch: 28 [10752/49812]	Loss: 0.6137	LR: 0.020000
Training Epoch: 28 [10816/49812]	Loss: 0.4676	LR: 0.020000
Training Epoch: 28 [10880/49812]	Loss: 0.7009	LR: 0.020000
Training Epoch: 28 [10944/49812]	Loss: 0.9562	LR: 0.020000
Training Epoch: 28 [11008/49812]	Loss: 0.9243	LR: 0.020000
Training Epoch: 28 [11072/49812]	Loss: 0.8805	LR: 0.020000
Training Epoch: 28 [11136/49812]	Loss: 1.0087	LR: 0.020000
Training Epoch: 28 [11200/49812]	Loss: 0.8936	LR: 0.020000
Training Epoch: 28 [11264/49812]	Loss: 0.7368	LR: 0.020000
Training Epoch: 28 [11328/49812]	Loss: 0.9082	LR: 0.020000
Training Epoch: 28 [11392/49812]	Loss: 0.8241	LR: 0.020000
Training Epoch: 28 [11456/49812]	Loss: 0.7162	LR: 0.020000
Training Epoch: 28 [11520/49812]	Loss: 0.8211	LR: 0.020000
Training Epoch: 28 [11584/49812]	Loss: 0.9210	LR: 0.020000
Training Epoch: 28 [11648/49812]	Loss: 1.0453	LR: 0.020000
Training Epoch: 28 [11712/49812]	Loss: 0.7305	LR: 0.020000
Training Epoch: 28 [11776/49812]	Loss: 0.6339	LR: 0.020000
Training Epoch: 28 [11840/49812]	Loss: 0.7825	LR: 0.020000
Training Epoch: 28 [11904/49812]	Loss: 0.7827	LR: 0.020000
Training Epoch: 28 [11968/49812]	Loss: 0.8246	LR: 0.020000
Training Epoch: 28 [12032/49812]	Loss: 1.1081	LR: 0.020000
Training Epoch: 28 [12096/49812]	Loss: 0.7399	LR: 0.020000
Training Epoch: 28 [12160/49812]	Loss: 0.6985	LR: 0.020000
Training Epoch: 28 [12224/49812]	Loss: 0.6387	LR: 0.020000
Training Epoch: 28 [12288/49812]	Loss: 0.5956	LR: 0.020000
Training Epoch: 28 [12352/49812]	Loss: 0.7421	LR: 0.020000
Training Epoch: 28 [12416/49812]	Loss: 0.9490	LR: 0.020000
Training Epoch: 28 [12480/49812]	Loss: 0.5655	LR: 0.020000
Training Epoch: 28 [12544/49812]	Loss: 0.8838	LR: 0.020000
Training Epoch: 28 [12608/49812]	Loss: 0.8683	LR: 0.020000
Training Epoch: 28 [12672/49812]	Loss: 0.6608	LR: 0.020000
Training Epoch: 28 [12736/49812]	Loss: 0.9689	LR: 0.020000
Training Epoch: 28 [12800/49812]	Loss: 0.6092	LR: 0.020000
Training Epoch: 28 [12864/49812]	Loss: 0.9194	LR: 0.020000
Training Epoch: 28 [12928/49812]	Loss: 0.9216	LR: 0.020000
Training Epoch: 28 [12992/49812]	Loss: 0.6577	LR: 0.020000
Training Epoch: 28 [13056/49812]	Loss: 0.6856	LR: 0.020000
Training Epoch: 28 [13120/49812]	Loss: 0.8379	LR: 0.020000
Training Epoch: 28 [13184/49812]	Loss: 0.8206	LR: 0.020000
Training Epoch: 28 [13248/49812]	Loss: 1.0092	LR: 0.020000
Training Epoch: 28 [13312/49812]	Loss: 0.6542	LR: 0.020000
Training Epoch: 28 [13376/49812]	Loss: 0.5768	LR: 0.020000
Training Epoch: 28 [13440/49812]	Loss: 0.6434	LR: 0.020000
Training Epoch: 28 [13504/49812]	Loss: 0.6612	LR: 0.020000
Training Epoch: 28 [13568/49812]	Loss: 0.8505	LR: 0.020000
Training Epoch: 28 [13632/49812]	Loss: 1.0343	LR: 0.020000
Training Epoch: 28 [13696/49812]	Loss: 0.8779	LR: 0.020000
Training Epoch: 28 [13760/49812]	Loss: 0.7621	LR: 0.020000
Training Epoch: 28 [13824/49812]	Loss: 0.6734	LR: 0.020000
Training Epoch: 28 [13888/49812]	Loss: 0.7203	LR: 0.020000
Training Epoch: 28 [13952/49812]	Loss: 0.6808	LR: 0.020000
Training Epoch: 28 [14016/49812]	Loss: 0.8283	LR: 0.020000
Training Epoch: 28 [14080/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 28 [14144/49812]	Loss: 0.9692	LR: 0.020000
Training Epoch: 28 [14208/49812]	Loss: 1.1152	LR: 0.020000
Training Epoch: 28 [14272/49812]	Loss: 0.6649	LR: 0.020000
Training Epoch: 28 [14336/49812]	Loss: 0.8520	LR: 0.020000
Training Epoch: 28 [14400/49812]	Loss: 0.7455	LR: 0.020000
Training Epoch: 28 [14464/49812]	Loss: 0.9178	LR: 0.020000
Training Epoch: 28 [14528/49812]	Loss: 0.7238	LR: 0.020000
Training Epoch: 28 [14592/49812]	Loss: 0.6856	LR: 0.020000
Training Epoch: 28 [14656/49812]	Loss: 0.7345	LR: 0.020000
Training Epoch: 28 [14720/49812]	Loss: 0.5425	LR: 0.020000
Training Epoch: 28 [14784/49812]	Loss: 0.7266	LR: 0.020000
Training Epoch: 28 [14848/49812]	Loss: 0.9232	LR: 0.020000
Training Epoch: 28 [14912/49812]	Loss: 0.6772	LR: 0.020000
Training Epoch: 28 [14976/49812]	Loss: 1.0883	LR: 0.020000
Training Epoch: 28 [15040/49812]	Loss: 0.7066	LR: 0.020000
Training Epoch: 28 [15104/49812]	Loss: 0.9301	LR: 0.020000
Training Epoch: 28 [15168/49812]	Loss: 1.0211	LR: 0.020000
Training Epoch: 28 [15232/49812]	Loss: 0.6845	LR: 0.020000
Training Epoch: 28 [15296/49812]	Loss: 0.7158	LR: 0.020000
Training Epoch: 28 [15360/49812]	Loss: 0.6567	LR: 0.020000
Training Epoch: 28 [15424/49812]	Loss: 0.9766	LR: 0.020000
Training Epoch: 28 [15488/49812]	Loss: 0.9030	LR: 0.020000
Training Epoch: 28 [15552/49812]	Loss: 1.1976	LR: 0.020000
Training Epoch: 28 [15616/49812]	Loss: 0.8368	LR: 0.020000
Training Epoch: 28 [15680/49812]	Loss: 0.7329	LR: 0.020000
Training Epoch: 28 [15744/49812]	Loss: 0.8975	LR: 0.020000
Training Epoch: 28 [15808/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 28 [15872/49812]	Loss: 0.7812	LR: 0.020000
Training Epoch: 28 [15936/49812]	Loss: 0.7515	LR: 0.020000
Training Epoch: 28 [16000/49812]	Loss: 0.6238	LR: 0.020000
Training Epoch: 28 [16064/49812]	Loss: 0.9648	LR: 0.020000
Training Epoch: 28 [16128/49812]	Loss: 0.9037	LR: 0.020000
Training Epoch: 28 [16192/49812]	Loss: 0.7791	LR: 0.020000
Training Epoch: 28 [16256/49812]	Loss: 0.5524	LR: 0.020000
Training Epoch: 28 [16320/49812]	Loss: 0.7838	LR: 0.020000
Training Epoch: 28 [16384/49812]	Loss: 0.9183	LR: 0.020000
Training Epoch: 28 [16448/49812]	Loss: 0.8573	LR: 0.020000
Training Epoch: 28 [16512/49812]	Loss: 0.9271	LR: 0.020000
Training Epoch: 28 [16576/49812]	Loss: 0.9035	LR: 0.020000
Training Epoch: 28 [16640/49812]	Loss: 0.7758	LR: 0.020000
Training Epoch: 28 [16704/49812]	Loss: 0.8972	LR: 0.020000
Training Epoch: 28 [16768/49812]	Loss: 0.7005	LR: 0.020000
Training Epoch: 28 [16832/49812]	Loss: 0.6413	LR: 0.020000
Training Epoch: 28 [16896/49812]	Loss: 0.9270	LR: 0.020000
Training Epoch: 28 [16960/49812]	Loss: 0.6803	LR: 0.020000
Training Epoch: 28 [17024/49812]	Loss: 0.7719	LR: 0.020000
Training Epoch: 28 [17088/49812]	Loss: 0.5517	LR: 0.020000
Training Epoch: 28 [17152/49812]	Loss: 0.7374	LR: 0.020000
Training Epoch: 28 [17216/49812]	Loss: 0.8652	LR: 0.020000
Training Epoch: 28 [17280/49812]	Loss: 0.5284	LR: 0.020000
Training Epoch: 28 [17344/49812]	Loss: 0.5680	LR: 0.020000
Training Epoch: 28 [17408/49812]	Loss: 0.7338	LR: 0.020000
Training Epoch: 28 [17472/49812]	Loss: 0.8025	LR: 0.020000
Training Epoch: 28 [17536/49812]	Loss: 0.7220	LR: 0.020000
Training Epoch: 28 [17600/49812]	Loss: 1.0801	LR: 0.020000
Training Epoch: 28 [17664/49812]	Loss: 0.9080	LR: 0.020000
Training Epoch: 28 [17728/49812]	Loss: 0.6780	LR: 0.020000
Training Epoch: 28 [17792/49812]	Loss: 0.7513	LR: 0.020000
Training Epoch: 28 [17856/49812]	Loss: 0.7903	LR: 0.020000
Training Epoch: 28 [17920/49812]	Loss: 0.7371	LR: 0.020000
Training Epoch: 28 [17984/49812]	Loss: 0.9661	LR: 0.020000
Training Epoch: 28 [18048/49812]	Loss: 0.7852	LR: 0.020000
Training Epoch: 28 [18112/49812]	Loss: 0.8677	LR: 0.020000
Training Epoch: 28 [18176/49812]	Loss: 0.8285	LR: 0.020000
Training Epoch: 28 [18240/49812]	Loss: 1.0083	LR: 0.020000
Training Epoch: 28 [18304/49812]	Loss: 0.4654	LR: 0.020000
Training Epoch: 28 [18368/49812]	Loss: 0.6471	LR: 0.020000
Training Epoch: 28 [18432/49812]	Loss: 0.5560	LR: 0.020000
Training Epoch: 28 [18496/49812]	Loss: 0.8619	LR: 0.020000
Training Epoch: 28 [18560/49812]	Loss: 0.9930	LR: 0.020000
Training Epoch: 28 [18624/49812]	Loss: 0.7513	LR: 0.020000
Training Epoch: 28 [18688/49812]	Loss: 0.7466	LR: 0.020000
Training Epoch: 28 [18752/49812]	Loss: 0.6202	LR: 0.020000
Training Epoch: 28 [18816/49812]	Loss: 0.9260	LR: 0.020000
Training Epoch: 28 [18880/49812]	Loss: 0.7338	LR: 0.020000
Training Epoch: 28 [18944/49812]	Loss: 0.9458	LR: 0.020000
Training Epoch: 28 [19008/49812]	Loss: 0.8781	LR: 0.020000
Training Epoch: 28 [19072/49812]	Loss: 0.7031	LR: 0.020000
Training Epoch: 28 [19136/49812]	Loss: 0.7196	LR: 0.020000
Training Epoch: 28 [19200/49812]	Loss: 0.6010	LR: 0.020000
Training Epoch: 28 [19264/49812]	Loss: 0.7864	LR: 0.020000
Training Epoch: 28 [19328/49812]	Loss: 0.8926	LR: 0.020000
Training Epoch: 28 [19392/49812]	Loss: 0.5130	LR: 0.020000
Training Epoch: 28 [19456/49812]	Loss: 0.7295	LR: 0.020000
Training Epoch: 28 [19520/49812]	Loss: 0.8304	LR: 0.020000
Training Epoch: 28 [19584/49812]	Loss: 0.5263	LR: 0.020000
Training Epoch: 28 [19648/49812]	Loss: 0.7363	LR: 0.020000
Training Epoch: 28 [19712/49812]	Loss: 0.8009	LR: 0.020000
Training Epoch: 28 [19776/49812]	Loss: 1.0604	LR: 0.020000
Training Epoch: 28 [19840/49812]	Loss: 0.6288	LR: 0.020000
Training Epoch: 28 [19904/49812]	Loss: 0.9562	LR: 0.020000
Training Epoch: 28 [19968/49812]	Loss: 0.7350	LR: 0.020000
Training Epoch: 28 [20032/49812]	Loss: 0.9259	LR: 0.020000
Training Epoch: 28 [20096/49812]	Loss: 0.7339	LR: 0.020000
Training Epoch: 28 [20160/49812]	Loss: 1.0292	LR: 0.020000
Training Epoch: 28 [20224/49812]	Loss: 0.6857	LR: 0.020000
Training Epoch: 28 [20288/49812]	Loss: 0.8234	LR: 0.020000
Training Epoch: 28 [20352/49812]	Loss: 0.5421	LR: 0.020000
Training Epoch: 28 [20416/49812]	Loss: 0.8178	LR: 0.020000
Training Epoch: 28 [20480/49812]	Loss: 0.7549	LR: 0.020000
Training Epoch: 28 [20544/49812]	Loss: 1.2902	LR: 0.020000
Training Epoch: 28 [20608/49812]	Loss: 0.9052	LR: 0.020000
Training Epoch: 28 [20672/49812]	Loss: 0.9935	LR: 0.020000
Training Epoch: 28 [20736/49812]	Loss: 0.5524	LR: 0.020000
Training Epoch: 28 [20800/49812]	Loss: 1.0104	LR: 0.020000
Training Epoch: 28 [20864/49812]	Loss: 0.6507	LR: 0.020000
Training Epoch: 28 [20928/49812]	Loss: 0.8604	LR: 0.020000
Training Epoch: 28 [20992/49812]	Loss: 1.0714	LR: 0.020000
Training Epoch: 28 [21056/49812]	Loss: 1.0033	LR: 0.020000
Training Epoch: 28 [21120/49812]	Loss: 0.5164	LR: 0.020000
Training Epoch: 28 [21184/49812]	Loss: 0.7202	LR: 0.020000
Training Epoch: 28 [21248/49812]	Loss: 0.8295	LR: 0.020000
Training Epoch: 28 [21312/49812]	Loss: 0.8427	LR: 0.020000
Training Epoch: 28 [21376/49812]	Loss: 0.8454	LR: 0.020000
Training Epoch: 28 [21440/49812]	Loss: 0.9709	LR: 0.020000
Training Epoch: 28 [21504/49812]	Loss: 0.6920	LR: 0.020000
Training Epoch: 28 [21568/49812]	Loss: 0.8684	LR: 0.020000
Training Epoch: 28 [21632/49812]	Loss: 0.8182	LR: 0.020000
Training Epoch: 28 [21696/49812]	Loss: 0.9124	LR: 0.020000
Training Epoch: 28 [21760/49812]	Loss: 0.6848	LR: 0.020000
Training Epoch: 28 [21824/49812]	Loss: 0.7846	LR: 0.020000
Training Epoch: 28 [21888/49812]	Loss: 0.8891	LR: 0.020000
Training Epoch: 28 [21952/49812]	Loss: 0.6964	LR: 0.020000
Training Epoch: 28 [22016/49812]	Loss: 0.8428	LR: 0.020000
Training Epoch: 28 [22080/49812]	Loss: 0.8379	LR: 0.020000
Training Epoch: 28 [22144/49812]	Loss: 0.8636	LR: 0.020000
Training Epoch: 28 [22208/49812]	Loss: 0.6415	LR: 0.020000
Training Epoch: 28 [22272/49812]	Loss: 1.1257	LR: 0.020000
Training Epoch: 28 [22336/49812]	Loss: 0.9525	LR: 0.020000
Training Epoch: 28 [22400/49812]	Loss: 0.6854	LR: 0.020000
Training Epoch: 28 [22464/49812]	Loss: 0.8130	LR: 0.020000
Training Epoch: 28 [22528/49812]	Loss: 0.7575	LR: 0.020000
Training Epoch: 28 [22592/49812]	Loss: 0.8682	LR: 0.020000
Training Epoch: 28 [22656/49812]	Loss: 1.1454	LR: 0.020000
Training Epoch: 28 [22720/49812]	Loss: 0.7649	LR: 0.020000
Training Epoch: 28 [22784/49812]	Loss: 0.8160	LR: 0.020000
Training Epoch: 28 [22848/49812]	Loss: 0.9107	LR: 0.020000
Training Epoch: 28 [22912/49812]	Loss: 0.9844	LR: 0.020000
Training Epoch: 28 [22976/49812]	Loss: 0.6996	LR: 0.020000
Training Epoch: 28 [23040/49812]	Loss: 1.0408	LR: 0.020000
Training Epoch: 28 [23104/49812]	Loss: 0.7098	LR: 0.020000
Training Epoch: 28 [23168/49812]	Loss: 0.9173	LR: 0.020000
Training Epoch: 28 [23232/49812]	Loss: 1.0039	LR: 0.020000
Training Epoch: 28 [23296/49812]	Loss: 0.7811	LR: 0.020000
Training Epoch: 28 [23360/49812]	Loss: 0.9248	LR: 0.020000
Training Epoch: 28 [23424/49812]	Loss: 0.7409	LR: 0.020000
Training Epoch: 28 [23488/49812]	Loss: 0.9192	LR: 0.020000
Training Epoch: 28 [23552/49812]	Loss: 1.0698	LR: 0.020000
Training Epoch: 28 [23616/49812]	Loss: 0.9290	LR: 0.020000
Training Epoch: 28 [23680/49812]	Loss: 0.7839	LR: 0.020000
Training Epoch: 28 [23744/49812]	Loss: 0.5734	LR: 0.020000
Training Epoch: 28 [23808/49812]	Loss: 0.7608	LR: 0.020000
Training Epoch: 28 [23872/49812]	Loss: 0.7040	LR: 0.020000
Training Epoch: 28 [23936/49812]	Loss: 0.5409	LR: 0.020000
Training Epoch: 28 [24000/49812]	Loss: 0.7202	LR: 0.020000
Training Epoch: 28 [24064/49812]	Loss: 0.7402	LR: 0.020000
Training Epoch: 28 [24128/49812]	Loss: 0.8020	LR: 0.020000
Training Epoch: 28 [24192/49812]	Loss: 0.6664	LR: 0.020000
Training Epoch: 28 [24256/49812]	Loss: 0.8736	LR: 0.020000
Training Epoch: 28 [24320/49812]	Loss: 0.8773	LR: 0.020000
Training Epoch: 28 [24384/49812]	Loss: 0.8898	LR: 0.020000
Training Epoch: 28 [24448/49812]	Loss: 1.0337	LR: 0.020000
Training Epoch: 28 [24512/49812]	Loss: 0.6972	LR: 0.020000
Training Epoch: 28 [24576/49812]	Loss: 0.6786	LR: 0.020000
Training Epoch: 28 [24640/49812]	Loss: 0.7341	LR: 0.020000
Training Epoch: 28 [24704/49812]	Loss: 0.7029	LR: 0.020000
Training Epoch: 28 [24768/49812]	Loss: 0.8473	LR: 0.020000
Training Epoch: 28 [24832/49812]	Loss: 0.7446	LR: 0.020000
Training Epoch: 28 [24896/49812]	Loss: 0.8737	LR: 0.020000
Training Epoch: 28 [24960/49812]	Loss: 0.8388	LR: 0.020000
Training Epoch: 28 [25024/49812]	Loss: 0.6292	LR: 0.020000
Training Epoch: 28 [25088/49812]	Loss: 0.6853	LR: 0.020000
Training Epoch: 28 [25152/49812]	Loss: 0.8677	LR: 0.020000
Training Epoch: 28 [25216/49812]	Loss: 0.9868	LR: 0.020000
Training Epoch: 28 [25280/49812]	Loss: 0.7916	LR: 0.020000
Training Epoch: 28 [25344/49812]	Loss: 0.7115	LR: 0.020000
Training Epoch: 28 [25408/49812]	Loss: 0.7926	LR: 0.020000
Training Epoch: 28 [25472/49812]	Loss: 0.9388	LR: 0.020000
Training Epoch: 28 [25536/49812]	Loss: 0.6397	LR: 0.020000
Training Epoch: 28 [25600/49812]	Loss: 0.5954	LR: 0.020000
Training Epoch: 28 [25664/49812]	Loss: 0.7714	LR: 0.020000
Training Epoch: 28 [25728/49812]	Loss: 0.7784	LR: 0.020000
Training Epoch: 28 [25792/49812]	Loss: 0.6257	LR: 0.020000
Training Epoch: 28 [25856/49812]	Loss: 0.6921	LR: 0.020000
Training Epoch: 28 [25920/49812]	Loss: 0.6671	LR: 0.020000
Training Epoch: 28 [25984/49812]	Loss: 0.8252	LR: 0.020000
Training Epoch: 28 [26048/49812]	Loss: 0.6347	LR: 0.020000
Training Epoch: 28 [26112/49812]	Loss: 0.8275	LR: 0.020000
Training Epoch: 28 [26176/49812]	Loss: 0.5290	LR: 0.020000
Training Epoch: 28 [26240/49812]	Loss: 0.7852	LR: 0.020000
Training Epoch: 28 [26304/49812]	Loss: 0.6438	LR: 0.020000
Training Epoch: 28 [26368/49812]	Loss: 0.7504	LR: 0.020000
Training Epoch: 28 [26432/49812]	Loss: 0.6636	LR: 0.020000
Training Epoch: 28 [26496/49812]	Loss: 0.8871	LR: 0.020000
Training Epoch: 28 [26560/49812]	Loss: 0.8976	LR: 0.020000
Training Epoch: 28 [26624/49812]	Loss: 0.5403	LR: 0.020000
Training Epoch: 28 [26688/49812]	Loss: 0.9232	LR: 0.020000
Training Epoch: 28 [26752/49812]	Loss: 0.8397	LR: 0.020000
Training Epoch: 28 [26816/49812]	Loss: 0.8802	LR: 0.020000
Training Epoch: 28 [26880/49812]	Loss: 0.8361	LR: 0.020000
Training Epoch: 28 [26944/49812]	Loss: 0.7167	LR: 0.020000
Training Epoch: 28 [27008/49812]	Loss: 0.8398	LR: 0.020000
Training Epoch: 28 [27072/49812]	Loss: 0.7601	LR: 0.020000
Training Epoch: 28 [27136/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 28 [27200/49812]	Loss: 0.8684	LR: 0.020000
Training Epoch: 28 [27264/49812]	Loss: 0.7376	LR: 0.020000
Training Epoch: 28 [27328/49812]	Loss: 1.0636	LR: 0.020000
Training Epoch: 28 [27392/49812]	Loss: 0.8212	LR: 0.020000
Training Epoch: 28 [27456/49812]	Loss: 0.6110	LR: 0.020000
Training Epoch: 28 [27520/49812]	Loss: 0.9395	LR: 0.020000
Training Epoch: 28 [27584/49812]	Loss: 0.8527	LR: 0.020000
Training Epoch: 28 [27648/49812]	Loss: 0.5618	LR: 0.020000
Training Epoch: 28 [27712/49812]	Loss: 0.8747	LR: 0.020000
Training Epoch: 28 [27776/49812]	Loss: 0.8535	LR: 0.020000
Training Epoch: 28 [27840/49812]	Loss: 1.0149	LR: 0.020000
Training Epoch: 28 [27904/49812]	Loss: 0.6953	LR: 0.020000
Training Epoch: 28 [27968/49812]	Loss: 0.9358	LR: 0.020000
Training Epoch: 28 [28032/49812]	Loss: 0.7408	LR: 0.020000
Training Epoch: 28 [28096/49812]	Loss: 1.1243	LR: 0.020000
Training Epoch: 28 [28160/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 28 [28224/49812]	Loss: 0.8632	LR: 0.020000
Training Epoch: 28 [28288/49812]	Loss: 0.7602	LR: 0.020000
Training Epoch: 28 [28352/49812]	Loss: 0.6444	LR: 0.020000
Training Epoch: 28 [28416/49812]	Loss: 0.8981	LR: 0.020000
Training Epoch: 28 [28480/49812]	Loss: 0.5370	LR: 0.020000
Training Epoch: 28 [28544/49812]	Loss: 0.9362	LR: 0.020000
Training Epoch: 28 [28608/49812]	Loss: 1.0433	LR: 0.020000
Training Epoch: 28 [28672/49812]	Loss: 1.0457	LR: 0.020000
Training Epoch: 28 [28736/49812]	Loss: 0.6632	LR: 0.020000
Training Epoch: 28 [28800/49812]	Loss: 0.9393	LR: 0.020000
Training Epoch: 28 [28864/49812]	Loss: 1.0718	LR: 0.020000
Training Epoch: 28 [28928/49812]	Loss: 0.9480	LR: 0.020000
Training Epoch: 28 [28992/49812]	Loss: 0.7645	LR: 0.020000
Training Epoch: 28 [29056/49812]	Loss: 0.7661	LR: 0.020000
Training Epoch: 28 [29120/49812]	Loss: 1.0819	LR: 0.020000
Training Epoch: 28 [29184/49812]	Loss: 0.7491	LR: 0.020000
Training Epoch: 28 [29248/49812]	Loss: 0.7679	LR: 0.020000
Training Epoch: 28 [29312/49812]	Loss: 0.7290	LR: 0.020000
Training Epoch: 28 [29376/49812]	Loss: 0.8381	LR: 0.020000
Training Epoch: 28 [29440/49812]	Loss: 0.9532	LR: 0.020000
Training Epoch: 28 [29504/49812]	Loss: 0.8196	LR: 0.020000
Training Epoch: 28 [29568/49812]	Loss: 0.5902	LR: 0.020000
Training Epoch: 28 [29632/49812]	Loss: 0.7912	LR: 0.020000
Training Epoch: 28 [29696/49812]	Loss: 0.6502	LR: 0.020000
Training Epoch: 28 [29760/49812]	Loss: 0.8558	LR: 0.020000
Training Epoch: 28 [29824/49812]	Loss: 1.0832	LR: 0.020000
Training Epoch: 28 [29888/49812]	Loss: 0.5281	LR: 0.020000
Training Epoch: 28 [29952/49812]	Loss: 0.6047	LR: 0.020000
Training Epoch: 28 [30016/49812]	Loss: 0.7536	LR: 0.020000
Training Epoch: 28 [30080/49812]	Loss: 0.6985	LR: 0.020000
Training Epoch: 28 [30144/49812]	Loss: 0.7568	LR: 0.020000
Training Epoch: 28 [30208/49812]	Loss: 0.9511	LR: 0.020000
Training Epoch: 28 [30272/49812]	Loss: 0.6655	LR: 0.020000
Training Epoch: 28 [30336/49812]	Loss: 0.9540	LR: 0.020000
Training Epoch: 28 [30400/49812]	Loss: 0.8461	LR: 0.020000
Training Epoch: 28 [30464/49812]	Loss: 0.9938	LR: 0.020000
Training Epoch: 28 [30528/49812]	Loss: 0.8519	LR: 0.020000
Training Epoch: 28 [30592/49812]	Loss: 0.7792	LR: 0.020000
Training Epoch: 28 [30656/49812]	Loss: 0.9003	LR: 0.020000
Training Epoch: 28 [30720/49812]	Loss: 0.7023	LR: 0.020000
Training Epoch: 28 [30784/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 28 [30848/49812]	Loss: 0.7788	LR: 0.020000
Training Epoch: 28 [30912/49812]	Loss: 0.7452	LR: 0.020000
Training Epoch: 28 [30976/49812]	Loss: 1.0469	LR: 0.020000
Training Epoch: 28 [31040/49812]	Loss: 0.9307	LR: 0.020000
Training Epoch: 28 [31104/49812]	Loss: 0.5629	LR: 0.020000
Training Epoch: 28 [31168/49812]	Loss: 0.6430	LR: 0.020000
Training Epoch: 28 [31232/49812]	Loss: 0.5131	LR: 0.020000
Training Epoch: 28 [31296/49812]	Loss: 0.8069	LR: 0.020000
Training Epoch: 28 [31360/49812]	Loss: 0.8458	LR: 0.020000
Training Epoch: 28 [31424/49812]	Loss: 0.8198	LR: 0.020000
Training Epoch: 28 [31488/49812]	Loss: 0.8004	LR: 0.020000
Training Epoch: 28 [31552/49812]	Loss: 0.7879	LR: 0.020000
Training Epoch: 28 [31616/49812]	Loss: 0.8575	LR: 0.020000
Training Epoch: 28 [31680/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 28 [31744/49812]	Loss: 0.9670	LR: 0.020000
Training Epoch: 28 [31808/49812]	Loss: 0.8764	LR: 0.020000
Training Epoch: 28 [31872/49812]	Loss: 0.6836	LR: 0.020000
Training Epoch: 28 [31936/49812]	Loss: 0.7217	LR: 0.020000
Training Epoch: 28 [32000/49812]	Loss: 0.7181	LR: 0.020000
Training Epoch: 28 [32064/49812]	Loss: 0.7329	LR: 0.020000
Training Epoch: 28 [32128/49812]	Loss: 0.6358	LR: 0.020000
Training Epoch: 28 [32192/49812]	Loss: 0.7051	LR: 0.020000
Training Epoch: 28 [32256/49812]	Loss: 0.8090	LR: 0.020000
Training Epoch: 28 [32320/49812]	Loss: 0.9046	LR: 0.020000
Training Epoch: 28 [32384/49812]	Loss: 0.8323	LR: 0.020000
Training Epoch: 28 [32448/49812]	Loss: 0.8557	LR: 0.020000
Training Epoch: 28 [32512/49812]	Loss: 0.7961	LR: 0.020000
Training Epoch: 28 [32576/49812]	Loss: 0.9093	LR: 0.020000
Training Epoch: 28 [32640/49812]	Loss: 0.9278	LR: 0.020000
Training Epoch: 28 [32704/49812]	Loss: 0.8341	LR: 0.020000
Training Epoch: 28 [32768/49812]	Loss: 0.4325	LR: 0.020000
Training Epoch: 28 [32832/49812]	Loss: 0.8552	LR: 0.020000
Training Epoch: 28 [32896/49812]	Loss: 0.9066	LR: 0.020000
Training Epoch: 28 [32960/49812]	Loss: 0.6859	LR: 0.020000
Training Epoch: 28 [33024/49812]	Loss: 0.8161	LR: 0.020000
Training Epoch: 28 [33088/49812]	Loss: 0.7074	LR: 0.020000
Training Epoch: 28 [33152/49812]	Loss: 0.8580	LR: 0.020000
Training Epoch: 28 [33216/49812]	Loss: 0.7469	LR: 0.020000
Training Epoch: 28 [33280/49812]	Loss: 0.7321	LR: 0.020000
Training Epoch: 28 [33344/49812]	Loss: 1.0319	LR: 0.020000
Training Epoch: 28 [33408/49812]	Loss: 0.8039	LR: 0.020000
Training Epoch: 28 [33472/49812]	Loss: 0.8374	LR: 0.020000
Training Epoch: 28 [33536/49812]	Loss: 0.7684	LR: 0.020000
Training Epoch: 28 [33600/49812]	Loss: 0.7546	LR: 0.020000
Training Epoch: 28 [33664/49812]	Loss: 1.0040	LR: 0.020000
Training Epoch: 28 [33728/49812]	Loss: 0.9523	LR: 0.020000
Training Epoch: 28 [33792/49812]	Loss: 0.7406	LR: 0.020000
Training Epoch: 28 [33856/49812]	Loss: 0.7233	LR: 0.020000
Training Epoch: 28 [33920/49812]	Loss: 0.6258	LR: 0.020000
Training Epoch: 28 [33984/49812]	Loss: 0.6563	LR: 0.020000
Training Epoch: 28 [34048/49812]	Loss: 0.6356	LR: 0.020000
Training Epoch: 28 [34112/49812]	Loss: 0.9651	LR: 0.020000
Training Epoch: 28 [34176/49812]	Loss: 0.6316	LR: 0.020000
Training Epoch: 28 [34240/49812]	Loss: 0.6157	LR: 0.020000
Training Epoch: 28 [34304/49812]	Loss: 0.6055	LR: 0.020000
Training Epoch: 28 [34368/49812]	Loss: 0.8295	LR: 0.020000
Training Epoch: 28 [34432/49812]	Loss: 1.1355	LR: 0.020000
Training Epoch: 28 [34496/49812]	Loss: 0.9036	LR: 0.020000
Training Epoch: 28 [34560/49812]	Loss: 0.6345	LR: 0.020000
Training Epoch: 28 [34624/49812]	Loss: 0.9624	LR: 0.020000
Training Epoch: 28 [34688/49812]	Loss: 0.7543	LR: 0.020000
Training Epoch: 28 [34752/49812]	Loss: 0.8783	LR: 0.020000
Training Epoch: 28 [34816/49812]	Loss: 0.6794	LR: 0.020000
Training Epoch: 28 [34880/49812]	Loss: 0.8929	LR: 0.020000
Training Epoch: 28 [34944/49812]	Loss: 1.0671	LR: 0.020000
Training Epoch: 28 [35008/49812]	Loss: 0.9727	LR: 0.020000
Training Epoch: 28 [35072/49812]	Loss: 0.7802	LR: 0.020000
Training Epoch: 28 [35136/49812]	Loss: 0.6643	LR: 0.020000
Training Epoch: 28 [35200/49812]	Loss: 0.9951	LR: 0.020000
Training Epoch: 28 [35264/49812]	Loss: 0.7787	LR: 0.020000
Training Epoch: 28 [35328/49812]	Loss: 0.8578	LR: 0.020000
Training Epoch: 28 [35392/49812]	Loss: 0.9562	LR: 0.020000
Training Epoch: 28 [35456/49812]	Loss: 1.0628	LR: 0.020000
Training Epoch: 28 [35520/49812]	Loss: 0.6408	LR: 0.020000
Training Epoch: 28 [35584/49812]	Loss: 1.0202	LR: 0.020000
Training Epoch: 28 [35648/49812]	Loss: 0.5309	LR: 0.020000
Training Epoch: 28 [35712/49812]	Loss: 0.6799	LR: 0.020000
Training Epoch: 28 [35776/49812]	Loss: 1.0097	LR: 0.020000
Training Epoch: 28 [35840/49812]	Loss: 1.0865	LR: 0.020000
Training Epoch: 28 [35904/49812]	Loss: 0.7847	LR: 0.020000
Training Epoch: 28 [35968/49812]	Loss: 0.9399	LR: 0.020000
Training Epoch: 28 [36032/49812]	Loss: 0.7020	LR: 0.020000
Training Epoch: 28 [36096/49812]	Loss: 0.9216	LR: 0.020000
Training Epoch: 28 [36160/49812]	Loss: 1.0055	LR: 0.020000
Training Epoch: 28 [36224/49812]	Loss: 0.8564	LR: 0.020000
Training Epoch: 28 [36288/49812]	Loss: 0.7058	LR: 0.020000
Training Epoch: 28 [36352/49812]	Loss: 0.8679	LR: 0.020000
Training Epoch: 28 [36416/49812]	Loss: 1.1540	LR: 0.020000
Training Epoch: 28 [36480/49812]	Loss: 0.9435	LR: 0.020000
Training Epoch: 28 [36544/49812]	Loss: 0.6482	LR: 0.020000
Training Epoch: 28 [36608/49812]	Loss: 0.7075	LR: 0.020000
Training Epoch: 28 [36672/49812]	Loss: 0.6573	LR: 0.020000
Training Epoch: 28 [36736/49812]	Loss: 0.7429	LR: 0.020000
Training Epoch: 28 [36800/49812]	Loss: 0.7946	LR: 0.020000
Training Epoch: 28 [36864/49812]	Loss: 0.7758	LR: 0.020000
Training Epoch: 28 [36928/49812]	Loss: 0.5708	LR: 0.020000
Training Epoch: 28 [36992/49812]	Loss: 0.8750	LR: 0.020000
Training Epoch: 28 [37056/49812]	Loss: 0.9661	LR: 0.020000
Training Epoch: 28 [37120/49812]	Loss: 0.7833	LR: 0.020000
Training Epoch: 28 [37184/49812]	Loss: 0.7039	LR: 0.020000
Training Epoch: 28 [37248/49812]	Loss: 0.7168	LR: 0.020000
Training Epoch: 28 [37312/49812]	Loss: 1.0070	LR: 0.020000
Training Epoch: 28 [37376/49812]	Loss: 0.6189	LR: 0.020000
Training Epoch: 28 [37440/49812]	Loss: 0.8177	LR: 0.020000
Training Epoch: 28 [37504/49812]	Loss: 0.6538	LR: 0.020000
Training Epoch: 28 [37568/49812]	Loss: 0.8688	LR: 0.020000
Training Epoch: 28 [37632/49812]	Loss: 1.0479	LR: 0.020000
Training Epoch: 28 [37696/49812]	Loss: 0.7982	LR: 0.020000
Training Epoch: 28 [37760/49812]	Loss: 0.9114	LR: 0.020000
Training Epoch: 28 [37824/49812]	Loss: 0.9372	LR: 0.020000
Training Epoch: 28 [37888/49812]	Loss: 0.8353	LR: 0.020000
Training Epoch: 28 [37952/49812]	Loss: 0.7570	LR: 0.020000
Training Epoch: 28 [38016/49812]	Loss: 0.8736	LR: 0.020000
Training Epoch: 28 [38080/49812]	Loss: 0.5268	LR: 0.020000
Training Epoch: 28 [38144/49812]	Loss: 0.9138	LR: 0.020000
Training Epoch: 28 [38208/49812]	Loss: 0.7281	LR: 0.020000
Training Epoch: 28 [38272/49812]	Loss: 0.8484	LR: 0.020000
Training Epoch: 28 [38336/49812]	Loss: 0.7933	LR: 0.020000
Training Epoch: 28 [38400/49812]	Loss: 0.8397	LR: 0.020000
Training Epoch: 28 [38464/49812]	Loss: 0.9990	LR: 0.020000
Training Epoch: 28 [38528/49812]	Loss: 0.7682	LR: 0.020000
Training Epoch: 28 [38592/49812]	Loss: 0.7703	LR: 0.020000
Training Epoch: 28 [38656/49812]	Loss: 0.7081	LR: 0.020000
Training Epoch: 28 [38720/49812]	Loss: 0.8085	LR: 0.020000
Training Epoch: 28 [38784/49812]	Loss: 0.9441	LR: 0.020000
Training Epoch: 28 [38848/49812]	Loss: 0.8227	LR: 0.020000
Training Epoch: 28 [38912/49812]	Loss: 0.9753	LR: 0.020000
Training Epoch: 28 [38976/49812]	Loss: 0.5313	LR: 0.020000
Training Epoch: 28 [39040/49812]	Loss: 1.0760	LR: 0.020000
Training Epoch: 28 [39104/49812]	Loss: 0.9564	LR: 0.020000
Training Epoch: 28 [39168/49812]	Loss: 0.8656	LR: 0.020000
Training Epoch: 28 [39232/49812]	Loss: 1.0641	LR: 0.020000
Training Epoch: 28 [39296/49812]	Loss: 0.8163	LR: 0.020000
Training Epoch: 28 [39360/49812]	Loss: 0.8128	LR: 0.020000
Training Epoch: 28 [39424/49812]	Loss: 0.8719	LR: 0.020000
Training Epoch: 28 [39488/49812]	Loss: 0.7590	LR: 0.020000
Training Epoch: 28 [39552/49812]	Loss: 0.8515	LR: 0.020000
Training Epoch: 28 [39616/49812]	Loss: 0.7465	LR: 0.020000
Training Epoch: 28 [39680/49812]	Loss: 0.8574	LR: 0.020000
Training Epoch: 28 [39744/49812]	Loss: 0.7520	LR: 0.020000
Training Epoch: 28 [39808/49812]	Loss: 0.6254	LR: 0.020000
Training Epoch: 28 [39872/49812]	Loss: 0.5876	LR: 0.020000
Training Epoch: 28 [39936/49812]	Loss: 0.7983	LR: 0.020000
Training Epoch: 28 [40000/49812]	Loss: 0.7872	LR: 0.020000
Training Epoch: 28 [40064/49812]	Loss: 0.8210	LR: 0.020000
Training Epoch: 28 [40128/49812]	Loss: 0.7306	LR: 0.020000
Training Epoch: 28 [40192/49812]	Loss: 0.8032	LR: 0.020000
Training Epoch: 28 [40256/49812]	Loss: 1.0558	LR: 0.020000
Training Epoch: 28 [40320/49812]	Loss: 0.9947	LR: 0.020000
Training Epoch: 28 [40384/49812]	Loss: 0.7704	LR: 0.020000
Training Epoch: 28 [40448/49812]	Loss: 1.0940	LR: 0.020000
Training Epoch: 28 [40512/49812]	Loss: 0.7115	LR: 0.020000
Training Epoch: 28 [40576/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 28 [40640/49812]	Loss: 0.9175	LR: 0.020000
Training Epoch: 28 [40704/49812]	Loss: 0.7596	LR: 0.020000
Training Epoch: 28 [40768/49812]	Loss: 0.6880	LR: 0.020000
Training Epoch: 28 [40832/49812]	Loss: 1.0302	LR: 0.020000
Training Epoch: 28 [40896/49812]	Loss: 0.9658	LR: 0.020000
Training Epoch: 28 [40960/49812]	Loss: 0.8502	LR: 0.020000
Training Epoch: 28 [41024/49812]	Loss: 0.9026	LR: 0.020000
Training Epoch: 28 [41088/49812]	Loss: 0.6973	LR: 0.020000
Training Epoch: 28 [41152/49812]	Loss: 1.0497	LR: 0.020000
Training Epoch: 28 [41216/49812]	Loss: 0.6314	LR: 0.020000
Training Epoch: 28 [41280/49812]	Loss: 1.0942	LR: 0.020000
Training Epoch: 28 [41344/49812]	Loss: 0.6679	LR: 0.020000
Training Epoch: 28 [41408/49812]	Loss: 0.7781	LR: 0.020000
Training Epoch: 28 [41472/49812]	Loss: 0.8579	LR: 0.020000
Training Epoch: 28 [41536/49812]	Loss: 0.8856	LR: 0.020000
Training Epoch: 28 [41600/49812]	Loss: 0.8582	LR: 0.020000
Training Epoch: 28 [41664/49812]	Loss: 0.7512	LR: 0.020000
Training Epoch: 28 [41728/49812]	Loss: 0.8248	LR: 0.020000
Training Epoch: 28 [41792/49812]	Loss: 0.7983	LR: 0.020000
Training Epoch: 28 [41856/49812]	Loss: 0.6768	LR: 0.020000
Training Epoch: 28 [41920/49812]	Loss: 0.7502	LR: 0.020000
Training Epoch: 28 [41984/49812]	Loss: 1.0209	LR: 0.020000
Training Epoch: 28 [42048/49812]	Loss: 0.8700	LR: 0.020000
Training Epoch: 28 [42112/49812]	Loss: 0.5980	LR: 0.020000
Training Epoch: 28 [42176/49812]	Loss: 0.6777	LR: 0.020000
Training Epoch: 28 [42240/49812]	Loss: 0.9737	LR: 0.020000
Training Epoch: 28 [42304/49812]	Loss: 0.6095	LR: 0.020000
Training Epoch: 28 [42368/49812]	Loss: 0.8088	LR: 0.020000
Training Epoch: 28 [42432/49812]	Loss: 0.9022	LR: 0.020000
Training Epoch: 28 [42496/49812]	Loss: 1.0417	LR: 0.020000
Training Epoch: 28 [42560/49812]	Loss: 0.7717	LR: 0.020000
Training Epoch: 28 [42624/49812]	Loss: 0.7711	LR: 0.020000
Training Epoch: 28 [42688/49812]	Loss: 0.8232	LR: 0.020000
Training Epoch: 28 [42752/49812]	Loss: 0.6077	LR: 0.020000
Training Epoch: 28 [42816/49812]	Loss: 0.9291	LR: 0.020000
Training Epoch: 28 [42880/49812]	Loss: 0.9361	LR: 0.020000
Training Epoch: 28 [42944/49812]	Loss: 0.8765	LR: 0.020000
Training Epoch: 28 [43008/49812]	Loss: 0.9242	LR: 0.020000
Training Epoch: 28 [43072/49812]	Loss: 0.7874	LR: 0.020000
Training Epoch: 28 [43136/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 28 [43200/49812]	Loss: 0.9639	LR: 0.020000
Training Epoch: 28 [43264/49812]	Loss: 0.9294	LR: 0.020000
Training Epoch: 28 [43328/49812]	Loss: 0.5714	LR: 0.020000
Training Epoch: 28 [43392/49812]	Loss: 0.6910	LR: 0.020000
Training Epoch: 28 [43456/49812]	Loss: 0.8282	LR: 0.020000
Training Epoch: 28 [43520/49812]	Loss: 0.6583	LR: 0.020000
Training Epoch: 28 [43584/49812]	Loss: 0.7482	LR: 0.020000
Training Epoch: 28 [43648/49812]	Loss: 0.5985	LR: 0.020000
Training Epoch: 28 [43712/49812]	Loss: 0.8457	LR: 0.020000
Training Epoch: 28 [43776/49812]	Loss: 0.6435	LR: 0.020000
Training Epoch: 28 [43840/49812]	Loss: 0.6771	LR: 0.020000
Training Epoch: 28 [43904/49812]	Loss: 0.7746	LR: 0.020000
Training Epoch: 28 [43968/49812]	Loss: 0.7128	LR: 0.020000
Training Epoch: 28 [44032/49812]	Loss: 0.7858	LR: 0.020000
Training Epoch: 28 [44096/49812]	Loss: 0.9794	LR: 0.020000
Training Epoch: 28 [44160/49812]	Loss: 0.7703	LR: 0.020000
Training Epoch: 28 [44224/49812]	Loss: 0.9137	LR: 0.020000
Training Epoch: 28 [44288/49812]	Loss: 0.8432	LR: 0.020000
Training Epoch: 28 [44352/49812]	Loss: 0.6424	LR: 0.020000
Training Epoch: 28 [44416/49812]	Loss: 0.8783	LR: 0.020000
Training Epoch: 28 [44480/49812]	Loss: 0.6092	LR: 0.020000
Training Epoch: 28 [44544/49812]	Loss: 0.9992	LR: 0.020000
Training Epoch: 28 [44608/49812]	Loss: 0.8863	LR: 0.020000
Training Epoch: 28 [44672/49812]	Loss: 0.8084	LR: 0.020000
Training Epoch: 28 [44736/49812]	Loss: 0.7167	LR: 0.020000
Training Epoch: 28 [44800/49812]	Loss: 0.6859	LR: 0.020000
Training Epoch: 28 [44864/49812]	Loss: 0.7625	LR: 0.020000
Training Epoch: 28 [44928/49812]	Loss: 0.7167	LR: 0.020000
Training Epoch: 28 [44992/49812]	Loss: 0.4792	LR: 0.020000
Training Epoch: 28 [45056/49812]	Loss: 0.9768	LR: 0.020000
Training Epoch: 28 [45120/49812]	Loss: 0.7201	LR: 0.020000
Training Epoch: 28 [45184/49812]	Loss: 0.8043	LR: 0.020000
Training Epoch: 28 [45248/49812]	Loss: 1.1013	LR: 0.020000
Training Epoch: 28 [45312/49812]	Loss: 1.0456	LR: 0.020000
Training Epoch: 28 [45376/49812]	Loss: 0.7464	LR: 0.020000
Training Epoch: 28 [45440/49812]	Loss: 1.0457	LR: 0.020000
Training Epoch: 28 [45504/49812]	Loss: 0.6395	LR: 0.020000
Training Epoch: 28 [45568/49812]	Loss: 0.7505	LR: 0.020000
Training Epoch: 28 [45632/49812]	Loss: 0.7149	LR: 0.020000
Training Epoch: 28 [45696/49812]	Loss: 0.9774	LR: 0.020000
Training Epoch: 28 [45760/49812]	Loss: 0.8549	LR: 0.020000
Training Epoch: 28 [45824/49812]	Loss: 0.7303	LR: 0.020000
Training Epoch: 28 [45888/49812]	Loss: 0.8121	LR: 0.020000
Training Epoch: 28 [45952/49812]	Loss: 0.6844	LR: 0.020000
Training Epoch: 28 [46016/49812]	Loss: 0.9318	LR: 0.020000
Training Epoch: 28 [46080/49812]	Loss: 0.8400	LR: 0.020000
Training Epoch: 28 [46144/49812]	Loss: 0.7632	LR: 0.020000
Training Epoch: 28 [46208/49812]	Loss: 0.9077	LR: 0.020000
Training Epoch: 28 [46272/49812]	Loss: 0.9200	LR: 0.020000
Training Epoch: 28 [46336/49812]	Loss: 0.9817	LR: 0.020000
Training Epoch: 28 [46400/49812]	Loss: 0.7545	LR: 0.020000
Training Epoch: 28 [46464/49812]	Loss: 0.6111	LR: 0.020000
Training Epoch: 28 [46528/49812]	Loss: 0.8391	LR: 0.020000
Training Epoch: 28 [46592/49812]	Loss: 0.6443	LR: 0.020000
Training Epoch: 28 [46656/49812]	Loss: 1.0686	LR: 0.020000
Training Epoch: 28 [46720/49812]	Loss: 0.6951	LR: 0.020000
Training Epoch: 28 [46784/49812]	Loss: 0.5821	LR: 0.020000
Training Epoch: 28 [46848/49812]	Loss: 0.8167	LR: 0.020000
Training Epoch: 28 [46912/49812]	Loss: 0.9349	LR: 0.020000
Training Epoch: 28 [46976/49812]	Loss: 0.9339	LR: 0.020000
Training Epoch: 28 [47040/49812]	Loss: 0.8546	LR: 0.020000
Training Epoch: 28 [47104/49812]	Loss: 0.6541	LR: 0.020000
Training Epoch: 28 [47168/49812]	Loss: 1.0965	LR: 0.020000
Training Epoch: 28 [47232/49812]	Loss: 1.0146	LR: 0.020000
Training Epoch: 28 [47296/49812]	Loss: 0.8919	LR: 0.020000
Training Epoch: 28 [47360/49812]	Loss: 0.8970	LR: 0.020000
Training Epoch: 28 [47424/49812]	Loss: 0.6695	LR: 0.020000
Training Epoch: 28 [47488/49812]	Loss: 0.9029	LR: 0.020000
Training Epoch: 28 [47552/49812]	Loss: 0.7736	LR: 0.020000
Training Epoch: 28 [47616/49812]	Loss: 0.7925	LR: 0.020000
Training Epoch: 28 [47680/49812]	Loss: 0.6518	LR: 0.020000
Training Epoch: 28 [47744/49812]	Loss: 0.7546	LR: 0.020000
Training Epoch: 28 [47808/49812]	Loss: 0.8001	LR: 0.020000
Training Epoch: 28 [47872/49812]	Loss: 0.9618	LR: 0.020000
Training Epoch: 28 [47936/49812]	Loss: 0.7999	LR: 0.020000
Training Epoch: 28 [48000/49812]	Loss: 0.7390	LR: 0.020000
Training Epoch: 28 [48064/49812]	Loss: 0.6798	LR: 0.020000
Training Epoch: 28 [48128/49812]	Loss: 1.0043	LR: 0.020000
Training Epoch: 28 [48192/49812]	Loss: 0.6840	LR: 0.020000
Training Epoch: 28 [48256/49812]	Loss: 0.9514	LR: 0.020000
Training Epoch: 28 [48320/49812]	Loss: 0.9774	LR: 0.020000
Training Epoch: 28 [48384/49812]	Loss: 0.7963	LR: 0.020000
Training Epoch: 28 [48448/49812]	Loss: 0.8388	LR: 0.020000
Training Epoch: 28 [48512/49812]	Loss: 0.9717	LR: 0.020000
Training Epoch: 28 [48576/49812]	Loss: 0.6722	LR: 0.020000
Training Epoch: 28 [48640/49812]	Loss: 0.8746	LR: 0.020000
Training Epoch: 28 [48704/49812]	Loss: 0.7451	LR: 0.020000
Training Epoch: 28 [48768/49812]	Loss: 1.1792	LR: 0.020000
Training Epoch: 28 [48832/49812]	Loss: 0.5868	LR: 0.020000
Training Epoch: 28 [48896/49812]	Loss: 0.8332	LR: 0.020000
Training Epoch: 28 [48960/49812]	Loss: 0.8716	LR: 0.020000
Training Epoch: 28 [49024/49812]	Loss: 0.7256	LR: 0.020000
Training Epoch: 28 [49088/49812]	Loss: 0.9117	LR: 0.020000
Training Epoch: 28 [49152/49812]	Loss: 0.6012	LR: 0.020000
Training Epoch: 28 [49216/49812]	Loss: 0.9512	LR: 0.020000
Training Epoch: 28 [49280/49812]	Loss: 0.8591	LR: 0.020000
Training Epoch: 28 [49344/49812]	Loss: 0.9779	LR: 0.020000
Training Epoch: 28 [49408/49812]	Loss: 0.9058	LR: 0.020000
Training Epoch: 28 [49472/49812]	Loss: 0.8763	LR: 0.020000
Training Epoch: 28 [49536/49812]	Loss: 0.5334	LR: 0.020000
Training Epoch: 28 [49600/49812]	Loss: 0.7710	LR: 0.020000
Training Epoch: 28 [49664/49812]	Loss: 0.8208	LR: 0.020000
Training Epoch: 28 [49728/49812]	Loss: 0.9272	LR: 0.020000
Training Epoch: 28 [49792/49812]	Loss: 0.8923	LR: 0.020000
Training Epoch: 28 [49812/49812]	Loss: 1.1871	LR: 0.020000
Epoch 28 - Average Train Loss: 0.8039, Train Accuracy: 0.7410
Epoch 28 training time consumed: 265.61s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0152, Accuracy: 0.7018, Time consumed:17.04s
Training Epoch: 29 [64/49812]	Loss: 0.8391	LR: 0.020000
Training Epoch: 29 [128/49812]	Loss: 0.8211	LR: 0.020000
Training Epoch: 29 [192/49812]	Loss: 1.0658	LR: 0.020000
Training Epoch: 29 [256/49812]	Loss: 0.8837	LR: 0.020000
Training Epoch: 29 [320/49812]	Loss: 0.7828	LR: 0.020000
Training Epoch: 29 [384/49812]	Loss: 0.9296	LR: 0.020000
Training Epoch: 29 [448/49812]	Loss: 0.9664	LR: 0.020000
Training Epoch: 29 [512/49812]	Loss: 0.5633	LR: 0.020000
Training Epoch: 29 [576/49812]	Loss: 0.7975	LR: 0.020000
Training Epoch: 29 [640/49812]	Loss: 1.0392	LR: 0.020000
Training Epoch: 29 [704/49812]	Loss: 0.8765	LR: 0.020000
Training Epoch: 29 [768/49812]	Loss: 0.6358	LR: 0.020000
Training Epoch: 29 [832/49812]	Loss: 0.7526	LR: 0.020000
Training Epoch: 29 [896/49812]	Loss: 0.6640	LR: 0.020000
Training Epoch: 29 [960/49812]	Loss: 0.8759	LR: 0.020000
Training Epoch: 29 [1024/49812]	Loss: 0.7340	LR: 0.020000
Training Epoch: 29 [1088/49812]	Loss: 0.9339	LR: 0.020000
Training Epoch: 29 [1152/49812]	Loss: 0.7193	LR: 0.020000
Training Epoch: 29 [1216/49812]	Loss: 0.6870	LR: 0.020000
Training Epoch: 29 [1280/49812]	Loss: 0.6849	LR: 0.020000
Training Epoch: 29 [1344/49812]	Loss: 0.9293	LR: 0.020000
Training Epoch: 29 [1408/49812]	Loss: 0.5955	LR: 0.020000
Training Epoch: 29 [1472/49812]	Loss: 0.9963	LR: 0.020000
Training Epoch: 29 [1536/49812]	Loss: 0.8918	LR: 0.020000
Training Epoch: 29 [1600/49812]	Loss: 1.1718	LR: 0.020000
Training Epoch: 29 [1664/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 29 [1728/49812]	Loss: 0.5570	LR: 0.020000
Training Epoch: 29 [1792/49812]	Loss: 0.7129	LR: 0.020000
Training Epoch: 29 [1856/49812]	Loss: 0.8484	LR: 0.020000
Training Epoch: 29 [1920/49812]	Loss: 0.7670	LR: 0.020000
Training Epoch: 29 [1984/49812]	Loss: 0.8485	LR: 0.020000
Training Epoch: 29 [2048/49812]	Loss: 0.7938	LR: 0.020000
Training Epoch: 29 [2112/49812]	Loss: 0.5890	LR: 0.020000
Training Epoch: 29 [2176/49812]	Loss: 0.6557	LR: 0.020000
Training Epoch: 29 [2240/49812]	Loss: 0.6255	LR: 0.020000
Training Epoch: 29 [2304/49812]	Loss: 0.8514	LR: 0.020000
Training Epoch: 29 [2368/49812]	Loss: 0.7089	LR: 0.020000
Training Epoch: 29 [2432/49812]	Loss: 0.8623	LR: 0.020000
Training Epoch: 29 [2496/49812]	Loss: 0.8748	LR: 0.020000
Training Epoch: 29 [2560/49812]	Loss: 0.7355	LR: 0.020000
Training Epoch: 29 [2624/49812]	Loss: 0.8644	LR: 0.020000
Training Epoch: 29 [2688/49812]	Loss: 0.7870	LR: 0.020000
Training Epoch: 29 [2752/49812]	Loss: 0.8960	LR: 0.020000
Training Epoch: 29 [2816/49812]	Loss: 0.5758	LR: 0.020000
Training Epoch: 29 [2880/49812]	Loss: 0.7039	LR: 0.020000
Training Epoch: 29 [2944/49812]	Loss: 0.9395	LR: 0.020000
Training Epoch: 29 [3008/49812]	Loss: 0.7924	LR: 0.020000
Training Epoch: 29 [3072/49812]	Loss: 0.6781	LR: 0.020000
Training Epoch: 29 [3136/49812]	Loss: 0.6757	LR: 0.020000
Training Epoch: 29 [3200/49812]	Loss: 0.7431	LR: 0.020000
Training Epoch: 29 [3264/49812]	Loss: 0.8460	LR: 0.020000
Training Epoch: 29 [3328/49812]	Loss: 0.6985	LR: 0.020000
Training Epoch: 29 [3392/49812]	Loss: 0.7184	LR: 0.020000
Training Epoch: 29 [3456/49812]	Loss: 0.5890	LR: 0.020000
Training Epoch: 29 [3520/49812]	Loss: 0.7706	LR: 0.020000
Training Epoch: 29 [3584/49812]	Loss: 0.6797	LR: 0.020000
Training Epoch: 29 [3648/49812]	Loss: 0.6780	LR: 0.020000
Training Epoch: 29 [3712/49812]	Loss: 0.8474	LR: 0.020000
Training Epoch: 29 [3776/49812]	Loss: 0.7211	LR: 0.020000
Training Epoch: 29 [3840/49812]	Loss: 0.8734	LR: 0.020000
Training Epoch: 29 [3904/49812]	Loss: 0.5442	LR: 0.020000
Training Epoch: 29 [3968/49812]	Loss: 0.6231	LR: 0.020000
Training Epoch: 29 [4032/49812]	Loss: 0.7127	LR: 0.020000
Training Epoch: 29 [4096/49812]	Loss: 0.9389	LR: 0.020000
Training Epoch: 29 [4160/49812]	Loss: 0.6697	LR: 0.020000
Training Epoch: 29 [4224/49812]	Loss: 0.6357	LR: 0.020000
Training Epoch: 29 [4288/49812]	Loss: 0.8816	LR: 0.020000
Training Epoch: 29 [4352/49812]	Loss: 0.6389	LR: 0.020000
Training Epoch: 29 [4416/49812]	Loss: 1.0791	LR: 0.020000
Training Epoch: 29 [4480/49812]	Loss: 0.8782	LR: 0.020000
Training Epoch: 29 [4544/49812]	Loss: 0.7248	LR: 0.020000
Training Epoch: 29 [4608/49812]	Loss: 0.7886	LR: 0.020000
Training Epoch: 29 [4672/49812]	Loss: 0.5460	LR: 0.020000
Training Epoch: 29 [4736/49812]	Loss: 0.8289	LR: 0.020000
Training Epoch: 29 [4800/49812]	Loss: 0.6415	LR: 0.020000
Training Epoch: 29 [4864/49812]	Loss: 0.4477	LR: 0.020000
Training Epoch: 29 [4928/49812]	Loss: 0.7571	LR: 0.020000
Training Epoch: 29 [4992/49812]	Loss: 0.9106	LR: 0.020000
Training Epoch: 29 [5056/49812]	Loss: 0.6278	LR: 0.020000
Training Epoch: 29 [5120/49812]	Loss: 0.6411	LR: 0.020000
Training Epoch: 29 [5184/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 29 [5248/49812]	Loss: 1.0487	LR: 0.020000
Training Epoch: 29 [5312/49812]	Loss: 0.7391	LR: 0.020000
Training Epoch: 29 [5376/49812]	Loss: 0.4913	LR: 0.020000
Training Epoch: 29 [5440/49812]	Loss: 0.7323	LR: 0.020000
Training Epoch: 29 [5504/49812]	Loss: 0.6899	LR: 0.020000
Training Epoch: 29 [5568/49812]	Loss: 0.9548	LR: 0.020000
Training Epoch: 29 [5632/49812]	Loss: 0.6051	LR: 0.020000
Training Epoch: 29 [5696/49812]	Loss: 0.6621	LR: 0.020000
Training Epoch: 29 [5760/49812]	Loss: 0.6805	LR: 0.020000
Training Epoch: 29 [5824/49812]	Loss: 0.9716	LR: 0.020000
Training Epoch: 29 [5888/49812]	Loss: 0.8906	LR: 0.020000
Training Epoch: 29 [5952/49812]	Loss: 0.5439	LR: 0.020000
Training Epoch: 29 [6016/49812]	Loss: 1.0066	LR: 0.020000
Training Epoch: 29 [6080/49812]	Loss: 0.8011	LR: 0.020000
Training Epoch: 29 [6144/49812]	Loss: 0.4277	LR: 0.020000
Training Epoch: 29 [6208/49812]	Loss: 0.6301	LR: 0.020000
Training Epoch: 29 [6272/49812]	Loss: 1.1679	LR: 0.020000
Training Epoch: 29 [6336/49812]	Loss: 0.6963	LR: 0.020000
Training Epoch: 29 [6400/49812]	Loss: 0.9803	LR: 0.020000
Training Epoch: 29 [6464/49812]	Loss: 0.7520	LR: 0.020000
Training Epoch: 29 [6528/49812]	Loss: 0.8018	LR: 0.020000
Training Epoch: 29 [6592/49812]	Loss: 0.9205	LR: 0.020000
Training Epoch: 29 [6656/49812]	Loss: 0.8479	LR: 0.020000
Training Epoch: 29 [6720/49812]	Loss: 0.7913	LR: 0.020000
Training Epoch: 29 [6784/49812]	Loss: 0.8493	LR: 0.020000
Training Epoch: 29 [6848/49812]	Loss: 0.6311	LR: 0.020000
Training Epoch: 29 [6912/49812]	Loss: 0.6306	LR: 0.020000
Training Epoch: 29 [6976/49812]	Loss: 0.5533	LR: 0.020000
Training Epoch: 29 [7040/49812]	Loss: 0.6721	LR: 0.020000
Training Epoch: 29 [7104/49812]	Loss: 0.9239	LR: 0.020000
Training Epoch: 29 [7168/49812]	Loss: 0.7378	LR: 0.020000
Training Epoch: 29 [7232/49812]	Loss: 0.5252	LR: 0.020000
Training Epoch: 29 [7296/49812]	Loss: 0.6980	LR: 0.020000
Training Epoch: 29 [7360/49812]	Loss: 0.9453	LR: 0.020000
Training Epoch: 29 [7424/49812]	Loss: 0.7035	LR: 0.020000
Training Epoch: 29 [7488/49812]	Loss: 0.7088	LR: 0.020000
Training Epoch: 29 [7552/49812]	Loss: 0.7743	LR: 0.020000
Training Epoch: 29 [7616/49812]	Loss: 1.0090	LR: 0.020000
Training Epoch: 29 [7680/49812]	Loss: 0.7555	LR: 0.020000
Training Epoch: 29 [7744/49812]	Loss: 0.4624	LR: 0.020000
Training Epoch: 29 [7808/49812]	Loss: 0.8329	LR: 0.020000
Training Epoch: 29 [7872/49812]	Loss: 0.9155	LR: 0.020000
Training Epoch: 29 [7936/49812]	Loss: 0.7808	LR: 0.020000
Training Epoch: 29 [8000/49812]	Loss: 0.7212	LR: 0.020000
Training Epoch: 29 [8064/49812]	Loss: 0.6134	LR: 0.020000
Training Epoch: 29 [8128/49812]	Loss: 0.7383	LR: 0.020000
Training Epoch: 29 [8192/49812]	Loss: 0.7125	LR: 0.020000
Training Epoch: 29 [8256/49812]	Loss: 0.7493	LR: 0.020000
Training Epoch: 29 [8320/49812]	Loss: 0.7076	LR: 0.020000
Training Epoch: 29 [8384/49812]	Loss: 0.6386	LR: 0.020000
Training Epoch: 29 [8448/49812]	Loss: 0.8254	LR: 0.020000
Training Epoch: 29 [8512/49812]	Loss: 0.8364	LR: 0.020000
Training Epoch: 29 [8576/49812]	Loss: 0.6954	LR: 0.020000
Training Epoch: 29 [8640/49812]	Loss: 0.5724	LR: 0.020000
Training Epoch: 29 [8704/49812]	Loss: 0.9062	LR: 0.020000
Training Epoch: 29 [8768/49812]	Loss: 0.8302	LR: 0.020000
Training Epoch: 29 [8832/49812]	Loss: 0.8529	LR: 0.020000
Training Epoch: 29 [8896/49812]	Loss: 0.6698	LR: 0.020000
Training Epoch: 29 [8960/49812]	Loss: 0.6819	LR: 0.020000
Training Epoch: 29 [9024/49812]	Loss: 1.0911	LR: 0.020000
Training Epoch: 29 [9088/49812]	Loss: 0.7561	LR: 0.020000
Training Epoch: 29 [9152/49812]	Loss: 0.6135	LR: 0.020000
Training Epoch: 29 [9216/49812]	Loss: 0.7926	LR: 0.020000
Training Epoch: 29 [9280/49812]	Loss: 0.7035	LR: 0.020000
Training Epoch: 29 [9344/49812]	Loss: 0.8427	LR: 0.020000
Training Epoch: 29 [9408/49812]	Loss: 0.9675	LR: 0.020000
Training Epoch: 29 [9472/49812]	Loss: 0.8403	LR: 0.020000
Training Epoch: 29 [9536/49812]	Loss: 0.7812	LR: 0.020000
Training Epoch: 29 [9600/49812]	Loss: 0.9441	LR: 0.020000
Training Epoch: 29 [9664/49812]	Loss: 0.8485	LR: 0.020000
Training Epoch: 29 [9728/49812]	Loss: 0.5592	LR: 0.020000
Training Epoch: 29 [9792/49812]	Loss: 0.6833	LR: 0.020000
Training Epoch: 29 [9856/49812]	Loss: 0.7160	LR: 0.020000
Training Epoch: 29 [9920/49812]	Loss: 0.7680	LR: 0.020000
Training Epoch: 29 [9984/49812]	Loss: 0.5548	LR: 0.020000
Training Epoch: 29 [10048/49812]	Loss: 0.5299	LR: 0.020000
Training Epoch: 29 [10112/49812]	Loss: 0.5632	LR: 0.020000
Training Epoch: 29 [10176/49812]	Loss: 0.9538	LR: 0.020000
Training Epoch: 29 [10240/49812]	Loss: 0.6076	LR: 0.020000
Training Epoch: 29 [10304/49812]	Loss: 0.6618	LR: 0.020000
Training Epoch: 29 [10368/49812]	Loss: 0.8418	LR: 0.020000
Training Epoch: 29 [10432/49812]	Loss: 0.8501	LR: 0.020000
Training Epoch: 29 [10496/49812]	Loss: 0.8078	LR: 0.020000
Training Epoch: 29 [10560/49812]	Loss: 0.9577	LR: 0.020000
Training Epoch: 29 [10624/49812]	Loss: 0.6777	LR: 0.020000
Training Epoch: 29 [10688/49812]	Loss: 0.9629	LR: 0.020000
Training Epoch: 29 [10752/49812]	Loss: 0.5966	LR: 0.020000
Training Epoch: 29 [10816/49812]	Loss: 0.7476	LR: 0.020000
Training Epoch: 29 [10880/49812]	Loss: 0.6650	LR: 0.020000
Training Epoch: 29 [10944/49812]	Loss: 0.8411	LR: 0.020000
Training Epoch: 29 [11008/49812]	Loss: 0.6828	LR: 0.020000
Training Epoch: 29 [11072/49812]	Loss: 0.8022	LR: 0.020000
Training Epoch: 29 [11136/49812]	Loss: 0.6901	LR: 0.020000
Training Epoch: 29 [11200/49812]	Loss: 0.4922	LR: 0.020000
Training Epoch: 29 [11264/49812]	Loss: 0.6444	LR: 0.020000
Training Epoch: 29 [11328/49812]	Loss: 0.7648	LR: 0.020000
Training Epoch: 29 [11392/49812]	Loss: 0.6485	LR: 0.020000
Training Epoch: 29 [11456/49812]	Loss: 0.6420	LR: 0.020000
Training Epoch: 29 [11520/49812]	Loss: 0.7528	LR: 0.020000
Training Epoch: 29 [11584/49812]	Loss: 0.9048	LR: 0.020000
Training Epoch: 29 [11648/49812]	Loss: 0.9449	LR: 0.020000
Training Epoch: 29 [11712/49812]	Loss: 0.7554	LR: 0.020000
Training Epoch: 29 [11776/49812]	Loss: 0.8328	LR: 0.020000
Training Epoch: 29 [11840/49812]	Loss: 0.8695	LR: 0.020000
Training Epoch: 29 [11904/49812]	Loss: 1.0335	LR: 0.020000
Training Epoch: 29 [11968/49812]	Loss: 0.6852	LR: 0.020000
Training Epoch: 29 [12032/49812]	Loss: 0.7214	LR: 0.020000
Training Epoch: 29 [12096/49812]	Loss: 0.8299	LR: 0.020000
Training Epoch: 29 [12160/49812]	Loss: 0.7392	LR: 0.020000
Training Epoch: 29 [12224/49812]	Loss: 0.9074	LR: 0.020000
Training Epoch: 29 [12288/49812]	Loss: 1.0371	LR: 0.020000
Training Epoch: 29 [12352/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 29 [12416/49812]	Loss: 0.6754	LR: 0.020000
Training Epoch: 29 [12480/49812]	Loss: 0.9754	LR: 0.020000
Training Epoch: 29 [12544/49812]	Loss: 0.9322	LR: 0.020000
Training Epoch: 29 [12608/49812]	Loss: 0.7899	LR: 0.020000
Training Epoch: 29 [12672/49812]	Loss: 0.5630	LR: 0.020000
Training Epoch: 29 [12736/49812]	Loss: 0.6884	LR: 0.020000
Training Epoch: 29 [12800/49812]	Loss: 0.7054	LR: 0.020000
Training Epoch: 29 [12864/49812]	Loss: 0.6528	LR: 0.020000
Training Epoch: 29 [12928/49812]	Loss: 0.6554	LR: 0.020000
Training Epoch: 29 [12992/49812]	Loss: 1.0431	LR: 0.020000
Training Epoch: 29 [13056/49812]	Loss: 1.1291	LR: 0.020000
Training Epoch: 29 [13120/49812]	Loss: 0.5918	LR: 0.020000
Training Epoch: 29 [13184/49812]	Loss: 0.7676	LR: 0.020000
Training Epoch: 29 [13248/49812]	Loss: 0.5665	LR: 0.020000
Training Epoch: 29 [13312/49812]	Loss: 0.8212	LR: 0.020000
Training Epoch: 29 [13376/49812]	Loss: 0.8995	LR: 0.020000
Training Epoch: 29 [13440/49812]	Loss: 0.8269	LR: 0.020000
Training Epoch: 29 [13504/49812]	Loss: 0.4375	LR: 0.020000
Training Epoch: 29 [13568/49812]	Loss: 0.8184	LR: 0.020000
Training Epoch: 29 [13632/49812]	Loss: 0.8368	LR: 0.020000
Training Epoch: 29 [13696/49812]	Loss: 0.8622	LR: 0.020000
Training Epoch: 29 [13760/49812]	Loss: 0.8536	LR: 0.020000
Training Epoch: 29 [13824/49812]	Loss: 0.8396	LR: 0.020000
Training Epoch: 29 [13888/49812]	Loss: 0.9096	LR: 0.020000
Training Epoch: 29 [13952/49812]	Loss: 0.8099	LR: 0.020000
Training Epoch: 29 [14016/49812]	Loss: 0.7922	LR: 0.020000
Training Epoch: 29 [14080/49812]	Loss: 0.8128	LR: 0.020000
Training Epoch: 29 [14144/49812]	Loss: 0.9272	LR: 0.020000
Training Epoch: 29 [14208/49812]	Loss: 0.9455	LR: 0.020000
Training Epoch: 29 [14272/49812]	Loss: 0.7637	LR: 0.020000
Training Epoch: 29 [14336/49812]	Loss: 0.7450	LR: 0.020000
Training Epoch: 29 [14400/49812]	Loss: 0.7754	LR: 0.020000
Training Epoch: 29 [14464/49812]	Loss: 0.7148	LR: 0.020000
Training Epoch: 29 [14528/49812]	Loss: 0.6796	LR: 0.020000
Training Epoch: 29 [14592/49812]	Loss: 0.6771	LR: 0.020000
Training Epoch: 29 [14656/49812]	Loss: 0.5031	LR: 0.020000
Training Epoch: 29 [14720/49812]	Loss: 0.5569	LR: 0.020000
Training Epoch: 29 [14784/49812]	Loss: 0.7753	LR: 0.020000
Training Epoch: 29 [14848/49812]	Loss: 0.6647	LR: 0.020000
Training Epoch: 29 [14912/49812]	Loss: 0.9001	LR: 0.020000
Training Epoch: 29 [14976/49812]	Loss: 0.7286	LR: 0.020000
Training Epoch: 29 [15040/49812]	Loss: 0.8049	LR: 0.020000
Training Epoch: 29 [15104/49812]	Loss: 0.6707	LR: 0.020000
Training Epoch: 29 [15168/49812]	Loss: 0.8120	LR: 0.020000
Training Epoch: 29 [15232/49812]	Loss: 0.9309	LR: 0.020000
Training Epoch: 29 [15296/49812]	Loss: 0.9091	LR: 0.020000
Training Epoch: 29 [15360/49812]	Loss: 0.6766	LR: 0.020000
Training Epoch: 29 [15424/49812]	Loss: 0.8424	LR: 0.020000
Training Epoch: 29 [15488/49812]	Loss: 0.7796	LR: 0.020000
Training Epoch: 29 [15552/49812]	Loss: 0.7727	LR: 0.020000
Training Epoch: 29 [15616/49812]	Loss: 0.8735	LR: 0.020000
Training Epoch: 29 [15680/49812]	Loss: 0.7764	LR: 0.020000
Training Epoch: 29 [15744/49812]	Loss: 1.0631	LR: 0.020000
Training Epoch: 29 [15808/49812]	Loss: 0.7311	LR: 0.020000
Training Epoch: 29 [15872/49812]	Loss: 0.9029	LR: 0.020000
Training Epoch: 29 [15936/49812]	Loss: 0.8473	LR: 0.020000
Training Epoch: 29 [16000/49812]	Loss: 0.8995	LR: 0.020000
Training Epoch: 29 [16064/49812]	Loss: 0.6782	LR: 0.020000
Training Epoch: 29 [16128/49812]	Loss: 1.0087	LR: 0.020000
Training Epoch: 29 [16192/49812]	Loss: 0.6698	LR: 0.020000
Training Epoch: 29 [16256/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 29 [16320/49812]	Loss: 0.7018	LR: 0.020000
Training Epoch: 29 [16384/49812]	Loss: 0.6828	LR: 0.020000
Training Epoch: 29 [16448/49812]	Loss: 0.9272	LR: 0.020000
Training Epoch: 29 [16512/49812]	Loss: 0.7032	LR: 0.020000
Training Epoch: 29 [16576/49812]	Loss: 1.0100	LR: 0.020000
Training Epoch: 29 [16640/49812]	Loss: 0.8568	LR: 0.020000
Training Epoch: 29 [16704/49812]	Loss: 0.7671	LR: 0.020000
Training Epoch: 29 [16768/49812]	Loss: 1.0631	LR: 0.020000
Training Epoch: 29 [16832/49812]	Loss: 0.6275	LR: 0.020000
Training Epoch: 29 [16896/49812]	Loss: 0.5588	LR: 0.020000
Training Epoch: 29 [16960/49812]	Loss: 0.8323	LR: 0.020000
Training Epoch: 29 [17024/49812]	Loss: 0.6115	LR: 0.020000
Training Epoch: 29 [17088/49812]	Loss: 0.9516	LR: 0.020000
Training Epoch: 29 [17152/49812]	Loss: 0.8900	LR: 0.020000
Training Epoch: 29 [17216/49812]	Loss: 0.8967	LR: 0.020000
Training Epoch: 29 [17280/49812]	Loss: 0.8101	LR: 0.020000
Training Epoch: 29 [17344/49812]	Loss: 0.9820	LR: 0.020000
Training Epoch: 29 [17408/49812]	Loss: 0.8322	LR: 0.020000
Training Epoch: 29 [17472/49812]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [17536/49812]	Loss: 0.8370	LR: 0.020000
Training Epoch: 29 [17600/49812]	Loss: 0.8786	LR: 0.020000
Training Epoch: 29 [17664/49812]	Loss: 0.8789	LR: 0.020000
Training Epoch: 29 [17728/49812]	Loss: 1.0380	LR: 0.020000
Training Epoch: 29 [17792/49812]	Loss: 1.2005	LR: 0.020000
Training Epoch: 29 [17856/49812]	Loss: 0.5236	LR: 0.020000
Training Epoch: 29 [17920/49812]	Loss: 0.7432	LR: 0.020000
Training Epoch: 29 [17984/49812]	Loss: 0.8113	LR: 0.020000
Training Epoch: 29 [18048/49812]	Loss: 0.9592	LR: 0.020000
Training Epoch: 29 [18112/49812]	Loss: 0.7004	LR: 0.020000
Training Epoch: 29 [18176/49812]	Loss: 0.9683	LR: 0.020000
Training Epoch: 29 [18240/49812]	Loss: 0.8150	LR: 0.020000
Training Epoch: 29 [18304/49812]	Loss: 0.9469	LR: 0.020000
Training Epoch: 29 [18368/49812]	Loss: 0.6322	LR: 0.020000
Training Epoch: 29 [18432/49812]	Loss: 0.9721	LR: 0.020000
Training Epoch: 29 [18496/49812]	Loss: 1.0200	LR: 0.020000
Training Epoch: 29 [18560/49812]	Loss: 0.7469	LR: 0.020000
Training Epoch: 29 [18624/49812]	Loss: 0.7443	LR: 0.020000
Training Epoch: 29 [18688/49812]	Loss: 0.7422	LR: 0.020000
Training Epoch: 29 [18752/49812]	Loss: 0.8853	LR: 0.020000
Training Epoch: 29 [18816/49812]	Loss: 0.7372	LR: 0.020000
Training Epoch: 29 [18880/49812]	Loss: 0.8377	LR: 0.020000
Training Epoch: 29 [18944/49812]	Loss: 0.7098	LR: 0.020000
Training Epoch: 29 [19008/49812]	Loss: 0.9025	LR: 0.020000
Training Epoch: 29 [19072/49812]	Loss: 0.7908	LR: 0.020000
Training Epoch: 29 [19136/49812]	Loss: 0.7152	LR: 0.020000
Training Epoch: 29 [19200/49812]	Loss: 0.5956	LR: 0.020000
Training Epoch: 29 [19264/49812]	Loss: 0.8168	LR: 0.020000
Training Epoch: 29 [19328/49812]	Loss: 0.7358	LR: 0.020000
Training Epoch: 29 [19392/49812]	Loss: 0.8736	LR: 0.020000
Training Epoch: 29 [19456/49812]	Loss: 0.6689	LR: 0.020000
Training Epoch: 29 [19520/49812]	Loss: 0.7288	LR: 0.020000
Training Epoch: 29 [19584/49812]	Loss: 0.7542	LR: 0.020000
Training Epoch: 29 [19648/49812]	Loss: 0.6258	LR: 0.020000
Training Epoch: 29 [19712/49812]	Loss: 0.7503	LR: 0.020000
Training Epoch: 29 [19776/49812]	Loss: 0.6451	LR: 0.020000
Training Epoch: 29 [19840/49812]	Loss: 0.7711	LR: 0.020000
Training Epoch: 29 [19904/49812]	Loss: 0.5978	LR: 0.020000
Training Epoch: 29 [19968/49812]	Loss: 0.8910	LR: 0.020000
Training Epoch: 29 [20032/49812]	Loss: 0.9771	LR: 0.020000
Training Epoch: 29 [20096/49812]	Loss: 0.7590	LR: 0.020000
Training Epoch: 29 [20160/49812]	Loss: 0.8742	LR: 0.020000
Training Epoch: 29 [20224/49812]	Loss: 0.9173	LR: 0.020000
Training Epoch: 29 [20288/49812]	Loss: 0.7641	LR: 0.020000
Training Epoch: 29 [20352/49812]	Loss: 0.6154	LR: 0.020000
Training Epoch: 29 [20416/49812]	Loss: 0.7874	LR: 0.020000
Training Epoch: 29 [20480/49812]	Loss: 0.7452	LR: 0.020000
Training Epoch: 29 [20544/49812]	Loss: 0.8167	LR: 0.020000
Training Epoch: 29 [20608/49812]	Loss: 0.7129	LR: 0.020000
Training Epoch: 29 [20672/49812]	Loss: 0.7039	LR: 0.020000
Training Epoch: 29 [20736/49812]	Loss: 0.8576	LR: 0.020000
Training Epoch: 29 [20800/49812]	Loss: 1.1757	LR: 0.020000
Training Epoch: 29 [20864/49812]	Loss: 1.0738	LR: 0.020000
Training Epoch: 29 [20928/49812]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [20992/49812]	Loss: 0.9081	LR: 0.020000
Training Epoch: 29 [21056/49812]	Loss: 1.0074	LR: 0.020000
Training Epoch: 29 [21120/49812]	Loss: 0.9915	LR: 0.020000
Training Epoch: 29 [21184/49812]	Loss: 0.6168	LR: 0.020000
Training Epoch: 29 [21248/49812]	Loss: 1.0622	LR: 0.020000
Training Epoch: 29 [21312/49812]	Loss: 1.0091	LR: 0.020000
Training Epoch: 29 [21376/49812]	Loss: 0.7117	LR: 0.020000
Training Epoch: 29 [21440/49812]	Loss: 0.8658	LR: 0.020000
Training Epoch: 29 [21504/49812]	Loss: 0.7931	LR: 0.020000
Training Epoch: 29 [21568/49812]	Loss: 0.7063	LR: 0.020000
Training Epoch: 29 [21632/49812]	Loss: 0.7984	LR: 0.020000
Training Epoch: 29 [21696/49812]	Loss: 0.9346	LR: 0.020000
Training Epoch: 29 [21760/49812]	Loss: 1.0234	LR: 0.020000
Training Epoch: 29 [21824/49812]	Loss: 0.8523	LR: 0.020000
Training Epoch: 29 [21888/49812]	Loss: 0.8335	LR: 0.020000
Training Epoch: 29 [21952/49812]	Loss: 0.7899	LR: 0.020000
Training Epoch: 29 [22016/49812]	Loss: 1.0279	LR: 0.020000
Training Epoch: 29 [22080/49812]	Loss: 0.6414	LR: 0.020000
Training Epoch: 29 [22144/49812]	Loss: 0.8499	LR: 0.020000
Training Epoch: 29 [22208/49812]	Loss: 0.8055	LR: 0.020000
Training Epoch: 29 [22272/49812]	Loss: 0.5984	LR: 0.020000
Training Epoch: 29 [22336/49812]	Loss: 0.9434	LR: 0.020000
Training Epoch: 29 [22400/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 29 [22464/49812]	Loss: 0.8727	LR: 0.020000
Training Epoch: 29 [22528/49812]	Loss: 0.6938	LR: 0.020000
Training Epoch: 29 [22592/49812]	Loss: 0.9685	LR: 0.020000
Training Epoch: 29 [22656/49812]	Loss: 0.8630	LR: 0.020000
Training Epoch: 29 [22720/49812]	Loss: 0.7887	LR: 0.020000
Training Epoch: 29 [22784/49812]	Loss: 0.7648	LR: 0.020000
Training Epoch: 29 [22848/49812]	Loss: 0.8298	LR: 0.020000
Training Epoch: 29 [22912/49812]	Loss: 0.6794	LR: 0.020000
Training Epoch: 29 [22976/49812]	Loss: 0.9782	LR: 0.020000
Training Epoch: 29 [23040/49812]	Loss: 0.9556	LR: 0.020000
Training Epoch: 29 [23104/49812]	Loss: 0.8057	LR: 0.020000
Training Epoch: 29 [23168/49812]	Loss: 0.9745	LR: 0.020000
Training Epoch: 29 [23232/49812]	Loss: 0.6463	LR: 0.020000
Training Epoch: 29 [23296/49812]	Loss: 1.0859	LR: 0.020000
Training Epoch: 29 [23360/49812]	Loss: 0.7110	LR: 0.020000
Training Epoch: 29 [23424/49812]	Loss: 1.0080	LR: 0.020000
Training Epoch: 29 [23488/49812]	Loss: 0.6791	LR: 0.020000
Training Epoch: 29 [23552/49812]	Loss: 0.7638	LR: 0.020000
Training Epoch: 29 [23616/49812]	Loss: 0.8324	LR: 0.020000
Training Epoch: 29 [23680/49812]	Loss: 0.8835	LR: 0.020000
Training Epoch: 29 [23744/49812]	Loss: 1.0063	LR: 0.020000
Training Epoch: 29 [23808/49812]	Loss: 0.6758	LR: 0.020000
Training Epoch: 29 [23872/49812]	Loss: 0.9023	LR: 0.020000
Training Epoch: 29 [23936/49812]	Loss: 0.6686	LR: 0.020000
Training Epoch: 29 [24000/49812]	Loss: 0.9831	LR: 0.020000
Training Epoch: 29 [24064/49812]	Loss: 0.9641	LR: 0.020000
Training Epoch: 29 [24128/49812]	Loss: 0.7690	LR: 0.020000
Training Epoch: 29 [24192/49812]	Loss: 0.8507	LR: 0.020000
Training Epoch: 29 [24256/49812]	Loss: 0.7713	LR: 0.020000
Training Epoch: 29 [24320/49812]	Loss: 0.9736	LR: 0.020000
Training Epoch: 29 [24384/49812]	Loss: 0.8990	LR: 0.020000
Training Epoch: 29 [24448/49812]	Loss: 1.0004	LR: 0.020000
Training Epoch: 29 [24512/49812]	Loss: 0.8525	LR: 0.020000
Training Epoch: 29 [24576/49812]	Loss: 0.8118	LR: 0.020000
Training Epoch: 29 [24640/49812]	Loss: 0.9378	LR: 0.020000
Training Epoch: 29 [24704/49812]	Loss: 1.1213	LR: 0.020000
Training Epoch: 29 [24768/49812]	Loss: 0.8844	LR: 0.020000
Training Epoch: 29 [24832/49812]	Loss: 0.8043	LR: 0.020000
Training Epoch: 29 [24896/49812]	Loss: 1.0185	LR: 0.020000
Training Epoch: 29 [24960/49812]	Loss: 1.1138	LR: 0.020000
Training Epoch: 29 [25024/49812]	Loss: 0.8577	LR: 0.020000
Training Epoch: 29 [25088/49812]	Loss: 0.9163	LR: 0.020000
Training Epoch: 29 [25152/49812]	Loss: 0.8734	LR: 0.020000
Training Epoch: 29 [25216/49812]	Loss: 0.7258	LR: 0.020000
Training Epoch: 29 [25280/49812]	Loss: 0.7043	LR: 0.020000
Training Epoch: 29 [25344/49812]	Loss: 0.8096	LR: 0.020000
Training Epoch: 29 [25408/49812]	Loss: 0.8028	LR: 0.020000
Training Epoch: 29 [25472/49812]	Loss: 0.8081	LR: 0.020000
Training Epoch: 29 [25536/49812]	Loss: 0.8500	LR: 0.020000
Training Epoch: 29 [25600/49812]	Loss: 0.9093	LR: 0.020000
Training Epoch: 29 [25664/49812]	Loss: 0.6875	LR: 0.020000
Training Epoch: 29 [25728/49812]	Loss: 0.6945	LR: 0.020000
Training Epoch: 29 [25792/49812]	Loss: 0.5948	LR: 0.020000
Training Epoch: 29 [25856/49812]	Loss: 0.9111	LR: 0.020000
Training Epoch: 29 [25920/49812]	Loss: 0.8468	LR: 0.020000
Training Epoch: 29 [25984/49812]	Loss: 0.4413	LR: 0.020000
Training Epoch: 29 [26048/49812]	Loss: 0.8295	LR: 0.020000
Training Epoch: 29 [26112/49812]	Loss: 0.7182	LR: 0.020000
Training Epoch: 29 [26176/49812]	Loss: 0.9710	LR: 0.020000
Training Epoch: 29 [26240/49812]	Loss: 0.7943	LR: 0.020000
Training Epoch: 29 [26304/49812]	Loss: 0.9230	LR: 0.020000
Training Epoch: 29 [26368/49812]	Loss: 0.9024	LR: 0.020000
Training Epoch: 29 [26432/49812]	Loss: 0.6586	LR: 0.020000
Training Epoch: 29 [26496/49812]	Loss: 1.0418	LR: 0.020000
Training Epoch: 29 [26560/49812]	Loss: 0.7943	LR: 0.020000
Training Epoch: 29 [26624/49812]	Loss: 0.8440	LR: 0.020000
Training Epoch: 29 [26688/49812]	Loss: 0.5343	LR: 0.020000
Training Epoch: 29 [26752/49812]	Loss: 0.7932	LR: 0.020000
Training Epoch: 29 [26816/49812]	Loss: 0.8378	LR: 0.020000
Training Epoch: 29 [26880/49812]	Loss: 0.7862	LR: 0.020000
Training Epoch: 29 [26944/49812]	Loss: 0.5875	LR: 0.020000
Training Epoch: 29 [27008/49812]	Loss: 0.8208	LR: 0.020000
Training Epoch: 29 [27072/49812]	Loss: 0.7386	LR: 0.020000
Training Epoch: 29 [27136/49812]	Loss: 0.7490	LR: 0.020000
Training Epoch: 29 [27200/49812]	Loss: 0.6922	LR: 0.020000
Training Epoch: 29 [27264/49812]	Loss: 0.7726	LR: 0.020000
Training Epoch: 29 [27328/49812]	Loss: 0.8267	LR: 0.020000
Training Epoch: 29 [27392/49812]	Loss: 0.7588	LR: 0.020000
Training Epoch: 29 [27456/49812]	Loss: 0.6551	LR: 0.020000
Training Epoch: 29 [27520/49812]	Loss: 0.6606	LR: 0.020000
Training Epoch: 29 [27584/49812]	Loss: 0.8087	LR: 0.020000
Training Epoch: 29 [27648/49812]	Loss: 0.5575	LR: 0.020000
Training Epoch: 29 [27712/49812]	Loss: 0.6905	LR: 0.020000
Training Epoch: 29 [27776/49812]	Loss: 0.6767	LR: 0.020000
Training Epoch: 29 [27840/49812]	Loss: 0.6883	LR: 0.020000
Training Epoch: 29 [27904/49812]	Loss: 0.7258	LR: 0.020000
Training Epoch: 29 [27968/49812]	Loss: 0.8180	LR: 0.020000
Training Epoch: 29 [28032/49812]	Loss: 0.9956	LR: 0.020000
Training Epoch: 29 [28096/49812]	Loss: 0.6009	LR: 0.020000
Training Epoch: 29 [28160/49812]	Loss: 0.5857	LR: 0.020000
Training Epoch: 29 [28224/49812]	Loss: 0.6178	LR: 0.020000
Training Epoch: 29 [28288/49812]	Loss: 1.1024	LR: 0.020000
Training Epoch: 29 [28352/49812]	Loss: 0.8017	LR: 0.020000
Training Epoch: 29 [28416/49812]	Loss: 0.9830	LR: 0.020000
Training Epoch: 29 [28480/49812]	Loss: 0.7336	LR: 0.020000
Training Epoch: 29 [28544/49812]	Loss: 0.6425	LR: 0.020000
Training Epoch: 29 [28608/49812]	Loss: 0.8997	LR: 0.020000
Training Epoch: 29 [28672/49812]	Loss: 0.9845	LR: 0.020000
Training Epoch: 29 [28736/49812]	Loss: 0.9887	LR: 0.020000
Training Epoch: 29 [28800/49812]	Loss: 0.5499	LR: 0.020000
Training Epoch: 29 [28864/49812]	Loss: 0.6995	LR: 0.020000
Training Epoch: 29 [28928/49812]	Loss: 0.8331	LR: 0.020000
Training Epoch: 29 [28992/49812]	Loss: 0.6502	LR: 0.020000
Training Epoch: 29 [29056/49812]	Loss: 0.8501	LR: 0.020000
Training Epoch: 29 [29120/49812]	Loss: 0.8298	LR: 0.020000
Training Epoch: 29 [29184/49812]	Loss: 0.7470	LR: 0.020000
Training Epoch: 29 [29248/49812]	Loss: 0.9675	LR: 0.020000
Training Epoch: 29 [29312/49812]	Loss: 0.8997	LR: 0.020000
Training Epoch: 29 [29376/49812]	Loss: 0.7991	LR: 0.020000
Training Epoch: 29 [29440/49812]	Loss: 0.8349	LR: 0.020000
Training Epoch: 29 [29504/49812]	Loss: 0.6620	LR: 0.020000
Training Epoch: 29 [29568/49812]	Loss: 0.8190	LR: 0.020000
Training Epoch: 29 [29632/49812]	Loss: 0.8431	LR: 0.020000
Training Epoch: 29 [29696/49812]	Loss: 0.6586	LR: 0.020000
Training Epoch: 29 [29760/49812]	Loss: 0.5635	LR: 0.020000
Training Epoch: 29 [29824/49812]	Loss: 0.5055	LR: 0.020000
Training Epoch: 29 [29888/49812]	Loss: 0.9404	LR: 0.020000
Training Epoch: 29 [29952/49812]	Loss: 0.8623	LR: 0.020000
Training Epoch: 29 [30016/49812]	Loss: 0.7917	LR: 0.020000
Training Epoch: 29 [30080/49812]	Loss: 1.0154	LR: 0.020000
Training Epoch: 29 [30144/49812]	Loss: 0.8215	LR: 0.020000
Training Epoch: 29 [30208/49812]	Loss: 0.7038	LR: 0.020000
Training Epoch: 29 [30272/49812]	Loss: 0.8928	LR: 0.020000
Training Epoch: 29 [30336/49812]	Loss: 0.7427	LR: 0.020000
Training Epoch: 29 [30400/49812]	Loss: 0.8809	LR: 0.020000
Training Epoch: 29 [30464/49812]	Loss: 0.6564	LR: 0.020000
Training Epoch: 29 [30528/49812]	Loss: 0.8701	LR: 0.020000
Training Epoch: 29 [30592/49812]	Loss: 0.8873	LR: 0.020000
Training Epoch: 29 [30656/49812]	Loss: 0.8098	LR: 0.020000
Training Epoch: 29 [30720/49812]	Loss: 0.8837	LR: 0.020000
Training Epoch: 29 [30784/49812]	Loss: 0.6583	LR: 0.020000
Training Epoch: 29 [30848/49812]	Loss: 0.6161	LR: 0.020000
Training Epoch: 29 [30912/49812]	Loss: 0.9594	LR: 0.020000
Training Epoch: 29 [30976/49812]	Loss: 0.8456	LR: 0.020000
Training Epoch: 29 [31040/49812]	Loss: 0.6731	LR: 0.020000
Training Epoch: 29 [31104/49812]	Loss: 0.8902	LR: 0.020000
Training Epoch: 29 [31168/49812]	Loss: 0.8135	LR: 0.020000
Training Epoch: 29 [31232/49812]	Loss: 0.5948	LR: 0.020000
Training Epoch: 29 [31296/49812]	Loss: 0.5703	LR: 0.020000
Training Epoch: 29 [31360/49812]	Loss: 1.0183	LR: 0.020000
Training Epoch: 29 [31424/49812]	Loss: 1.0872	LR: 0.020000
Training Epoch: 29 [31488/49812]	Loss: 0.9896	LR: 0.020000
Training Epoch: 29 [31552/49812]	Loss: 0.9866	LR: 0.020000
Training Epoch: 29 [31616/49812]	Loss: 0.6788	LR: 0.020000
Training Epoch: 29 [31680/49812]	Loss: 1.0401	LR: 0.020000
Training Epoch: 29 [31744/49812]	Loss: 0.8204	LR: 0.020000
Training Epoch: 29 [31808/49812]	Loss: 0.9995	LR: 0.020000
Training Epoch: 29 [31872/49812]	Loss: 0.7395	LR: 0.020000
Training Epoch: 29 [31936/49812]	Loss: 0.7882	LR: 0.020000
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Training Epoch: 29 [32064/49812]	Loss: 0.7398	LR: 0.020000
Training Epoch: 29 [32128/49812]	Loss: 0.7445	LR: 0.020000
Training Epoch: 29 [32192/49812]	Loss: 0.7209	LR: 0.020000
Training Epoch: 29 [32256/49812]	Loss: 0.7998	LR: 0.020000
Training Epoch: 29 [32320/49812]	Loss: 0.9454	LR: 0.020000
Training Epoch: 29 [32384/49812]	Loss: 0.7559	LR: 0.020000
Training Epoch: 29 [32448/49812]	Loss: 0.8778	LR: 0.020000
Training Epoch: 29 [32512/49812]	Loss: 0.6850	LR: 0.020000
Training Epoch: 29 [32576/49812]	Loss: 0.6002	LR: 0.020000
Training Epoch: 29 [32640/49812]	Loss: 0.7619	LR: 0.020000
Training Epoch: 29 [32704/49812]	Loss: 0.7685	LR: 0.020000
Training Epoch: 29 [32768/49812]	Loss: 0.5936	LR: 0.020000
Training Epoch: 29 [32832/49812]	Loss: 0.9146	LR: 0.020000
Training Epoch: 29 [32896/49812]	Loss: 0.7863	LR: 0.020000
Training Epoch: 29 [32960/49812]	Loss: 0.9158	LR: 0.020000
Training Epoch: 29 [33024/49812]	Loss: 1.1107	LR: 0.020000
Training Epoch: 29 [33088/49812]	Loss: 0.7467	LR: 0.020000
Training Epoch: 29 [33152/49812]	Loss: 0.7246	LR: 0.020000
Training Epoch: 29 [33216/49812]	Loss: 0.8465	LR: 0.020000
Training Epoch: 29 [33280/49812]	Loss: 0.9251	LR: 0.020000
Training Epoch: 29 [33344/49812]	Loss: 0.8804	LR: 0.020000
Training Epoch: 29 [33408/49812]	Loss: 0.5285	LR: 0.020000
Training Epoch: 29 [33472/49812]	Loss: 0.9999	LR: 0.020000
Training Epoch: 29 [33536/49812]	Loss: 0.7215	LR: 0.020000
Training Epoch: 29 [33600/49812]	Loss: 0.6352	LR: 0.020000
Training Epoch: 29 [33664/49812]	Loss: 0.6618	LR: 0.020000
Training Epoch: 29 [33728/49812]	Loss: 0.6857	LR: 0.020000
Training Epoch: 29 [33792/49812]	Loss: 0.7275	LR: 0.020000
Training Epoch: 29 [33856/49812]	Loss: 0.5659	LR: 0.020000
Training Epoch: 29 [33920/49812]	Loss: 0.6175	LR: 0.020000
Training Epoch: 29 [33984/49812]	Loss: 0.8672	LR: 0.020000
Training Epoch: 29 [34048/49812]	Loss: 0.9566	LR: 0.020000
Training Epoch: 29 [34112/49812]	Loss: 0.9570	LR: 0.020000
Training Epoch: 29 [34176/49812]	Loss: 0.8642	LR: 0.020000
Training Epoch: 29 [34240/49812]	Loss: 0.7670	LR: 0.020000
Training Epoch: 29 [34304/49812]	Loss: 0.9596	LR: 0.020000
Training Epoch: 29 [34368/49812]	Loss: 0.8651	LR: 0.020000
Training Epoch: 29 [34432/49812]	Loss: 0.7057	LR: 0.020000
Training Epoch: 29 [34496/49812]	Loss: 0.9145	LR: 0.020000
Training Epoch: 29 [34560/49812]	Loss: 0.6281	LR: 0.020000
Training Epoch: 29 [34624/49812]	Loss: 0.8076	LR: 0.020000
Training Epoch: 29 [34688/49812]	Loss: 0.9977	LR: 0.020000
Training Epoch: 29 [34752/49812]	Loss: 0.8698	LR: 0.020000
Training Epoch: 29 [34816/49812]	Loss: 0.9515	LR: 0.020000
Training Epoch: 29 [34880/49812]	Loss: 0.7527	LR: 0.020000
Training Epoch: 29 [34944/49812]	Loss: 0.6255	LR: 0.020000
Training Epoch: 29 [35008/49812]	Loss: 0.6998	LR: 0.020000
Training Epoch: 29 [35072/49812]	Loss: 0.7792	LR: 0.020000
Training Epoch: 29 [35136/49812]	Loss: 0.9382	LR: 0.020000
Training Epoch: 29 [35200/49812]	Loss: 0.6400	LR: 0.020000
Training Epoch: 29 [35264/49812]	Loss: 0.8780	LR: 0.020000
Training Epoch: 29 [35328/49812]	Loss: 1.0579	LR: 0.020000
Training Epoch: 29 [35392/49812]	Loss: 1.0307	LR: 0.020000
Training Epoch: 29 [35456/49812]	Loss: 0.8583	LR: 0.020000
Training Epoch: 29 [35520/49812]	Loss: 0.7572	LR: 0.020000
Training Epoch: 29 [35584/49812]	Loss: 0.8078	LR: 0.020000
Training Epoch: 29 [35648/49812]	Loss: 0.6963	LR: 0.020000
Training Epoch: 29 [35712/49812]	Loss: 1.1181	LR: 0.020000
Training Epoch: 29 [35776/49812]	Loss: 0.6101	LR: 0.020000
Training Epoch: 29 [35840/49812]	Loss: 0.8187	LR: 0.020000
Training Epoch: 29 [35904/49812]	Loss: 0.8109	LR: 0.020000
Training Epoch: 29 [35968/49812]	Loss: 1.0403	LR: 0.020000
Training Epoch: 29 [36032/49812]	Loss: 0.9978	LR: 0.020000
Training Epoch: 29 [36096/49812]	Loss: 0.7432	LR: 0.020000
Training Epoch: 29 [36160/49812]	Loss: 0.9413	LR: 0.020000
Training Epoch: 29 [36224/49812]	Loss: 1.0524	LR: 0.020000
Training Epoch: 29 [36288/49812]	Loss: 0.7966	LR: 0.020000
Training Epoch: 29 [36352/49812]	Loss: 0.6091	LR: 0.020000
Training Epoch: 29 [36416/49812]	Loss: 1.0962	LR: 0.020000
Training Epoch: 29 [36480/49812]	Loss: 0.6373	LR: 0.020000
Training Epoch: 29 [36544/49812]	Loss: 0.6327	LR: 0.020000
Training Epoch: 29 [36608/49812]	Loss: 0.7388	LR: 0.020000
Training Epoch: 29 [36672/49812]	Loss: 0.7271	LR: 0.020000
Training Epoch: 29 [36736/49812]	Loss: 0.8954	LR: 0.020000
Training Epoch: 29 [36800/49812]	Loss: 0.7248	LR: 0.020000
Training Epoch: 29 [36864/49812]	Loss: 0.7324	LR: 0.020000
Training Epoch: 29 [36928/49812]	Loss: 0.8499	LR: 0.020000
Training Epoch: 29 [36992/49812]	Loss: 0.9084	LR: 0.020000
Training Epoch: 29 [37056/49812]	Loss: 0.6815	LR: 0.020000
Training Epoch: 29 [37120/49812]	Loss: 0.8719	LR: 0.020000
Training Epoch: 29 [37184/49812]	Loss: 0.8237	LR: 0.020000
Training Epoch: 29 [37248/49812]	Loss: 0.9509	LR: 0.020000
Training Epoch: 29 [37312/49812]	Loss: 0.9039	LR: 0.020000
Training Epoch: 29 [37376/49812]	Loss: 0.8682	LR: 0.020000
Training Epoch: 29 [37440/49812]	Loss: 0.7660	LR: 0.020000
Training Epoch: 29 [37504/49812]	Loss: 0.6709	LR: 0.020000
Training Epoch: 29 [37568/49812]	Loss: 0.6418	LR: 0.020000
Training Epoch: 29 [37632/49812]	Loss: 0.7619	LR: 0.020000
Training Epoch: 29 [37696/49812]	Loss: 0.9147	LR: 0.020000
Training Epoch: 29 [37760/49812]	Loss: 0.5212	LR: 0.020000
Training Epoch: 29 [37824/49812]	Loss: 1.0487	LR: 0.020000
Training Epoch: 29 [37888/49812]	Loss: 1.0491	LR: 0.020000
Training Epoch: 29 [37952/49812]	Loss: 0.6656	LR: 0.020000
Training Epoch: 29 [38016/49812]	Loss: 0.8546	LR: 0.020000
Training Epoch: 29 [38080/49812]	Loss: 0.8897	LR: 0.020000
Training Epoch: 29 [38144/49812]	Loss: 0.8079	LR: 0.020000
Training Epoch: 29 [38208/49812]	Loss: 0.7777	LR: 0.020000
Training Epoch: 29 [38272/49812]	Loss: 1.1141	LR: 0.020000
Training Epoch: 29 [38336/49812]	Loss: 0.9236	LR: 0.020000
Training Epoch: 29 [38400/49812]	Loss: 0.8248	LR: 0.020000
Training Epoch: 29 [38464/49812]	Loss: 0.7547	LR: 0.020000
Training Epoch: 29 [38528/49812]	Loss: 0.8973	LR: 0.020000
Training Epoch: 29 [38592/49812]	Loss: 0.8590	LR: 0.020000
Training Epoch: 29 [38656/49812]	Loss: 0.8732	LR: 0.020000
Training Epoch: 29 [38720/49812]	Loss: 0.7394	LR: 0.020000
Training Epoch: 29 [38784/49812]	Loss: 0.7692	LR: 0.020000
Training Epoch: 29 [38848/49812]	Loss: 0.7882	LR: 0.020000
Training Epoch: 29 [38912/49812]	Loss: 0.8257	LR: 0.020000
Training Epoch: 29 [38976/49812]	Loss: 0.7935	LR: 0.020000
Training Epoch: 29 [39040/49812]	Loss: 0.7540	LR: 0.020000
Training Epoch: 29 [39104/49812]	Loss: 0.8698	LR: 0.020000
Training Epoch: 29 [39168/49812]	Loss: 0.7823	LR: 0.020000
Training Epoch: 29 [39232/49812]	Loss: 0.7985	LR: 0.020000
Training Epoch: 29 [39296/49812]	Loss: 0.7866	LR: 0.020000
Training Epoch: 29 [39360/49812]	Loss: 1.0452	LR: 0.020000
Training Epoch: 29 [39424/49812]	Loss: 0.7420	LR: 0.020000
Training Epoch: 29 [39488/49812]	Loss: 0.6952	LR: 0.020000
Training Epoch: 29 [39552/49812]	Loss: 0.7512	LR: 0.020000
Training Epoch: 29 [39616/49812]	Loss: 0.7709	LR: 0.020000
Training Epoch: 29 [39680/49812]	Loss: 0.7193	LR: 0.020000
Training Epoch: 29 [39744/49812]	Loss: 1.1502	LR: 0.020000
Training Epoch: 29 [39808/49812]	Loss: 0.5236	LR: 0.020000
Training Epoch: 29 [39872/49812]	Loss: 1.0664	LR: 0.020000
Training Epoch: 29 [39936/49812]	Loss: 0.6325	LR: 0.020000
Training Epoch: 29 [40000/49812]	Loss: 0.7845	LR: 0.020000
Training Epoch: 29 [40064/49812]	Loss: 0.6956	LR: 0.020000
Training Epoch: 29 [40128/49812]	Loss: 0.9528	LR: 0.020000
Training Epoch: 29 [40192/49812]	Loss: 0.5876	LR: 0.020000
Training Epoch: 29 [40256/49812]	Loss: 0.8790	LR: 0.020000
Training Epoch: 29 [40320/49812]	Loss: 0.8357	LR: 0.020000
Training Epoch: 29 [40384/49812]	Loss: 0.7795	LR: 0.020000
Training Epoch: 29 [40448/49812]	Loss: 0.8199	LR: 0.020000
Training Epoch: 29 [40512/49812]	Loss: 0.7441	LR: 0.020000
Training Epoch: 29 [40576/49812]	Loss: 0.7702	LR: 0.020000
Training Epoch: 29 [40640/49812]	Loss: 0.6158	LR: 0.020000
Training Epoch: 29 [40704/49812]	Loss: 0.8647	LR: 0.020000
Training Epoch: 29 [40768/49812]	Loss: 0.7533	LR: 0.020000
Training Epoch: 29 [40832/49812]	Loss: 0.8264	LR: 0.020000
Training Epoch: 29 [40896/49812]	Loss: 0.6097	LR: 0.020000
Training Epoch: 29 [40960/49812]	Loss: 0.9993	LR: 0.020000
Training Epoch: 29 [41024/49812]	Loss: 0.8102	LR: 0.020000
Training Epoch: 29 [41088/49812]	Loss: 0.7591	LR: 0.020000
Training Epoch: 29 [41152/49812]	Loss: 0.8455	LR: 0.020000
Training Epoch: 29 [41216/49812]	Loss: 0.9117	LR: 0.020000
Training Epoch: 29 [41280/49812]	Loss: 0.7192	LR: 0.020000
Training Epoch: 29 [41344/49812]	Loss: 0.6972	LR: 0.020000
Training Epoch: 29 [41408/49812]	Loss: 0.8827	LR: 0.020000
Training Epoch: 29 [41472/49812]	Loss: 1.0240	LR: 0.020000
Training Epoch: 29 [41536/49812]	Loss: 0.6432	LR: 0.020000
Training Epoch: 29 [41600/49812]	Loss: 0.6913	LR: 0.020000
Training Epoch: 29 [41664/49812]	Loss: 0.8067	LR: 0.020000
Training Epoch: 29 [41728/49812]	Loss: 0.5686	LR: 0.020000
Training Epoch: 29 [41792/49812]	Loss: 0.9579	LR: 0.020000
Training Epoch: 29 [41856/49812]	Loss: 0.7213	LR: 0.020000
Training Epoch: 29 [41920/49812]	Loss: 0.8035	LR: 0.020000
Training Epoch: 29 [41984/49812]	Loss: 0.6276	LR: 0.020000
Training Epoch: 29 [42048/49812]	Loss: 1.0640	LR: 0.020000
Training Epoch: 29 [42112/49812]	Loss: 0.5754	LR: 0.020000
Training Epoch: 29 [42176/49812]	Loss: 0.7624	LR: 0.020000
Training Epoch: 29 [42240/49812]	Loss: 0.8680	LR: 0.020000
Training Epoch: 29 [42304/49812]	Loss: 0.7777	LR: 0.020000
Training Epoch: 29 [42368/49812]	Loss: 0.7916	LR: 0.020000
Training Epoch: 29 [42432/49812]	Loss: 0.6757	LR: 0.020000
Training Epoch: 29 [42496/49812]	Loss: 0.7901	LR: 0.020000
Training Epoch: 29 [42560/49812]	Loss: 0.6717	LR: 0.020000
Training Epoch: 29 [42624/49812]	Loss: 1.0280	LR: 0.020000
Training Epoch: 29 [42688/49812]	Loss: 0.8039	LR: 0.020000
Training Epoch: 29 [42752/49812]	Loss: 0.7349	LR: 0.020000
Training Epoch: 29 [42816/49812]	Loss: 0.7196	LR: 0.020000
Training Epoch: 29 [42880/49812]	Loss: 0.7662	LR: 0.020000
Training Epoch: 29 [42944/49812]	Loss: 0.6609	LR: 0.020000
Training Epoch: 29 [43008/49812]	Loss: 0.8820	LR: 0.020000
Training Epoch: 29 [43072/49812]	Loss: 1.0420	LR: 0.020000
Training Epoch: 29 [43136/49812]	Loss: 0.7925	LR: 0.020000
Training Epoch: 29 [43200/49812]	Loss: 0.8310	LR: 0.020000
Training Epoch: 29 [43264/49812]	Loss: 0.9536	LR: 0.020000
Training Epoch: 29 [43328/49812]	Loss: 0.9127	LR: 0.020000
Training Epoch: 29 [43392/49812]	Loss: 1.0640	LR: 0.020000
Training Epoch: 29 [43456/49812]	Loss: 0.7383	LR: 0.020000
Training Epoch: 29 [43520/49812]	Loss: 0.7387	LR: 0.020000
Training Epoch: 29 [43584/49812]	Loss: 0.8532	LR: 0.020000
Training Epoch: 29 [43648/49812]	Loss: 0.8104	LR: 0.020000
Training Epoch: 29 [43712/49812]	Loss: 0.8624	LR: 0.020000
Training Epoch: 29 [43776/49812]	Loss: 1.0535	LR: 0.020000
Training Epoch: 29 [43840/49812]	Loss: 0.9571	LR: 0.020000
Training Epoch: 29 [43904/49812]	Loss: 0.8579	LR: 0.020000
Training Epoch: 29 [43968/49812]	Loss: 1.0707	LR: 0.020000
Training Epoch: 29 [44032/49812]	Loss: 0.7220	LR: 0.020000
Training Epoch: 29 [44096/49812]	Loss: 0.6985	LR: 0.020000
Training Epoch: 29 [44160/49812]	Loss: 0.5892	LR: 0.020000
Training Epoch: 29 [44224/49812]	Loss: 0.6631	LR: 0.020000
Training Epoch: 29 [44288/49812]	Loss: 0.6565	LR: 0.020000
Training Epoch: 29 [44352/49812]	Loss: 0.8534	LR: 0.020000
Training Epoch: 29 [44416/49812]	Loss: 0.7925	LR: 0.020000
Training Epoch: 29 [44480/49812]	Loss: 0.6611	LR: 0.020000
Training Epoch: 29 [44544/49812]	Loss: 0.5868	LR: 0.020000
Training Epoch: 29 [44608/49812]	Loss: 0.8470	LR: 0.020000
Training Epoch: 29 [44672/49812]	Loss: 0.7509	LR: 0.020000
Training Epoch: 29 [44736/49812]	Loss: 0.7556	LR: 0.020000
Training Epoch: 29 [44800/49812]	Loss: 0.7772	LR: 0.020000
Training Epoch: 29 [44864/49812]	Loss: 0.8447	LR: 0.020000
Training Epoch: 29 [44928/49812]	Loss: 0.6986	LR: 0.020000
Training Epoch: 29 [44992/49812]	Loss: 0.7335	LR: 0.020000
Training Epoch: 29 [45056/49812]	Loss: 0.8116	LR: 0.020000
Training Epoch: 29 [45120/49812]	Loss: 0.6909	LR: 0.020000
Training Epoch: 29 [45184/49812]	Loss: 0.7194	LR: 0.020000
Training Epoch: 29 [45248/49812]	Loss: 0.6510	LR: 0.020000
Training Epoch: 29 [45312/49812]	Loss: 0.5498	LR: 0.020000
Training Epoch: 29 [45376/49812]	Loss: 0.8844	LR: 0.020000
Training Epoch: 29 [45440/49812]	Loss: 0.6907	LR: 0.020000
Training Epoch: 29 [45504/49812]	Loss: 0.6772	LR: 0.020000
Training Epoch: 29 [45568/49812]	Loss: 1.1355	LR: 0.020000
Training Epoch: 29 [45632/49812]	Loss: 0.8713	LR: 0.020000
Training Epoch: 29 [45696/49812]	Loss: 0.6563	LR: 0.020000
Training Epoch: 29 [45760/49812]	Loss: 0.5430	LR: 0.020000
Training Epoch: 29 [45824/49812]	Loss: 0.8720	LR: 0.020000
Training Epoch: 29 [45888/49812]	Loss: 0.7807	LR: 0.020000
Training Epoch: 29 [45952/49812]	Loss: 0.8539	LR: 0.020000
Training Epoch: 29 [46016/49812]	Loss: 0.8682	LR: 0.020000
Training Epoch: 29 [46080/49812]	Loss: 0.7616	LR: 0.020000
Training Epoch: 29 [46144/49812]	Loss: 0.9159	LR: 0.020000
Training Epoch: 29 [46208/49812]	Loss: 0.8487	LR: 0.020000
Training Epoch: 29 [46272/49812]	Loss: 0.9369	LR: 0.020000
Training Epoch: 29 [46336/49812]	Loss: 1.0688	LR: 0.020000
Training Epoch: 29 [46400/49812]	Loss: 0.7603	LR: 0.020000
Training Epoch: 29 [46464/49812]	Loss: 1.0205	LR: 0.020000
Training Epoch: 29 [46528/49812]	Loss: 0.9433	LR: 0.020000
Training Epoch: 29 [46592/49812]	Loss: 0.8972	LR: 0.020000
Training Epoch: 29 [46656/49812]	Loss: 0.8108	LR: 0.020000
Training Epoch: 29 [46720/49812]	Loss: 0.8218	LR: 0.020000
Training Epoch: 29 [46784/49812]	Loss: 0.7189	LR: 0.020000
Training Epoch: 29 [46848/49812]	Loss: 1.0326	LR: 0.020000
Training Epoch: 29 [46912/49812]	Loss: 0.8107	LR: 0.020000
Training Epoch: 29 [46976/49812]	Loss: 0.5183	LR: 0.020000
Training Epoch: 29 [47040/49812]	Loss: 0.9100	LR: 0.020000
Training Epoch: 29 [47104/49812]	Loss: 0.9586	LR: 0.020000
Training Epoch: 29 [47168/49812]	Loss: 0.8317	LR: 0.020000
Training Epoch: 29 [47232/49812]	Loss: 0.8056	LR: 0.020000
Training Epoch: 29 [47296/49812]	Loss: 0.7902	LR: 0.020000
Training Epoch: 29 [47360/49812]	Loss: 0.9759	LR: 0.020000
Training Epoch: 29 [47424/49812]	Loss: 0.6928	LR: 0.020000
Training Epoch: 29 [47488/49812]	Loss: 0.8484	LR: 0.020000
Training Epoch: 29 [47552/49812]	Loss: 0.9748	LR: 0.020000
Training Epoch: 29 [47616/49812]	Loss: 0.7696	LR: 0.020000
Training Epoch: 29 [47680/49812]	Loss: 0.8189	LR: 0.020000
Training Epoch: 29 [47744/49812]	Loss: 0.7531	LR: 0.020000
Training Epoch: 29 [47808/49812]	Loss: 0.9182	LR: 0.020000
Training Epoch: 29 [47872/49812]	Loss: 0.6566	LR: 0.020000
Training Epoch: 29 [47936/49812]	Loss: 0.7848	LR: 0.020000
Training Epoch: 29 [48000/49812]	Loss: 1.0738	LR: 0.020000
Training Epoch: 29 [48064/49812]	Loss: 0.6988	LR: 0.020000
Training Epoch: 29 [48128/49812]	Loss: 0.7441	LR: 0.020000
Training Epoch: 29 [48192/49812]	Loss: 0.7596	LR: 0.020000
Training Epoch: 29 [48256/49812]	Loss: 0.8518	LR: 0.020000
Training Epoch: 29 [48320/49812]	Loss: 0.8809	LR: 0.020000
Training Epoch: 29 [48384/49812]	Loss: 0.9827	LR: 0.020000
Training Epoch: 29 [48448/49812]	Loss: 0.6823	LR: 0.020000
Training Epoch: 29 [48512/49812]	Loss: 0.7920	LR: 0.020000
Training Epoch: 29 [48576/49812]	Loss: 0.5932	LR: 0.020000
Training Epoch: 29 [48640/49812]	Loss: 0.5996	LR: 0.020000
Training Epoch: 29 [48704/49812]	Loss: 0.9376	LR: 0.020000
Training Epoch: 29 [48768/49812]	Loss: 0.7527	LR: 0.020000
Training Epoch: 29 [48832/49812]	Loss: 0.5921	LR: 0.020000
Training Epoch: 29 [48896/49812]	Loss: 0.9359	LR: 0.020000
Training Epoch: 29 [48960/49812]	Loss: 0.7609	LR: 0.020000
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Training Epoch: 29 [49088/49812]	Loss: 0.6951	LR: 0.020000
Training Epoch: 29 [49152/49812]	Loss: 0.7496	LR: 0.020000
Training Epoch: 29 [49216/49812]	Loss: 0.8488	LR: 0.020000
Training Epoch: 29 [49280/49812]	Loss: 1.0033	LR: 0.020000
Training Epoch: 29 [49344/49812]	Loss: 0.9609	LR: 0.020000
Training Epoch: 29 [49408/49812]	Loss: 0.9357	LR: 0.020000
Training Epoch: 29 [49472/49812]	Loss: 0.7468	LR: 0.020000
Training Epoch: 29 [49536/49812]	Loss: 0.9267	LR: 0.020000
Training Epoch: 29 [49600/49812]	Loss: 1.0196	LR: 0.020000
Training Epoch: 29 [49664/49812]	Loss: 0.6306	LR: 0.020000
Training Epoch: 29 [49728/49812]	Loss: 0.9985	LR: 0.020000
Training Epoch: 29 [49792/49812]	Loss: 0.8323	LR: 0.020000
Training Epoch: 29 [49812/49812]	Loss: 0.5933	LR: 0.020000
Epoch 29 - Average Train Loss: 0.7980, Train Accuracy: 0.7431
Epoch 29 training time consumed: 263.06s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0168, Accuracy: 0.6922, Time consumed:16.62s
Training Epoch: 30 [64/49812]	Loss: 0.7443	LR: 0.004000
Training Epoch: 30 [128/49812]	Loss: 0.7306	LR: 0.004000
Training Epoch: 30 [192/49812]	Loss: 0.8816	LR: 0.004000
Training Epoch: 30 [256/49812]	Loss: 0.7884	LR: 0.004000
Training Epoch: 30 [320/49812]	Loss: 1.0358	LR: 0.004000
Training Epoch: 30 [384/49812]	Loss: 0.7420	LR: 0.004000
Training Epoch: 30 [448/49812]	Loss: 0.6642	LR: 0.004000
Training Epoch: 30 [512/49812]	Loss: 0.6581	LR: 0.004000
Training Epoch: 30 [576/49812]	Loss: 0.4094	LR: 0.004000
Training Epoch: 30 [640/49812]	Loss: 0.8153	LR: 0.004000
Training Epoch: 30 [704/49812]	Loss: 0.6422	LR: 0.004000
Training Epoch: 30 [768/49812]	Loss: 0.6162	LR: 0.004000
Training Epoch: 30 [832/49812]	Loss: 0.7142	LR: 0.004000
Training Epoch: 30 [896/49812]	Loss: 0.6285	LR: 0.004000
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Training Epoch: 30 [1088/49812]	Loss: 0.5290	LR: 0.004000
Training Epoch: 30 [1152/49812]	Loss: 0.7080	LR: 0.004000
Training Epoch: 30 [1216/49812]	Loss: 0.7723	LR: 0.004000
Training Epoch: 30 [1280/49812]	Loss: 0.7301	LR: 0.004000
Training Epoch: 30 [1344/49812]	Loss: 0.7333	LR: 0.004000
Training Epoch: 30 [1408/49812]	Loss: 0.7920	LR: 0.004000
Training Epoch: 30 [1472/49812]	Loss: 0.6421	LR: 0.004000
Training Epoch: 30 [1536/49812]	Loss: 0.8602	LR: 0.004000
Training Epoch: 30 [1600/49812]	Loss: 0.9297	LR: 0.004000
Training Epoch: 30 [1664/49812]	Loss: 0.6033	LR: 0.004000
Training Epoch: 30 [1728/49812]	Loss: 0.6641	LR: 0.004000
Training Epoch: 30 [1792/49812]	Loss: 0.5479	LR: 0.004000
Training Epoch: 30 [1856/49812]	Loss: 1.0091	LR: 0.004000
Training Epoch: 30 [1920/49812]	Loss: 0.6710	LR: 0.004000
Training Epoch: 30 [1984/49812]	Loss: 0.7414	LR: 0.004000
Training Epoch: 30 [2048/49812]	Loss: 0.7576	LR: 0.004000
Training Epoch: 30 [2112/49812]	Loss: 0.5823	LR: 0.004000
Training Epoch: 30 [2176/49812]	Loss: 0.7216	LR: 0.004000
Training Epoch: 30 [2240/49812]	Loss: 0.5150	LR: 0.004000
Training Epoch: 30 [2304/49812]	Loss: 0.5764	LR: 0.004000
Training Epoch: 30 [2368/49812]	Loss: 0.4863	LR: 0.004000
Training Epoch: 30 [2432/49812]	Loss: 0.5916	LR: 0.004000
Training Epoch: 30 [2496/49812]	Loss: 0.6226	LR: 0.004000
Training Epoch: 30 [2560/49812]	Loss: 0.5680	LR: 0.004000
Training Epoch: 30 [2624/49812]	Loss: 0.7044	LR: 0.004000
Training Epoch: 30 [2688/49812]	Loss: 0.5137	LR: 0.004000
Training Epoch: 30 [2752/49812]	Loss: 0.9505	LR: 0.004000
Training Epoch: 30 [2816/49812]	Loss: 0.7991	LR: 0.004000
Training Epoch: 30 [2880/49812]	Loss: 0.7537	LR: 0.004000
Training Epoch: 30 [2944/49812]	Loss: 0.7001	LR: 0.004000
Training Epoch: 30 [3008/49812]	Loss: 0.6966	LR: 0.004000
Training Epoch: 30 [3072/49812]	Loss: 0.6674	LR: 0.004000
Training Epoch: 30 [3136/49812]	Loss: 0.7421	LR: 0.004000
Training Epoch: 30 [3200/49812]	Loss: 0.5557	LR: 0.004000
Training Epoch: 30 [3264/49812]	Loss: 0.6440	LR: 0.004000
Training Epoch: 30 [3328/49812]	Loss: 0.5977	LR: 0.004000
Training Epoch: 30 [3392/49812]	Loss: 0.4182	LR: 0.004000
Training Epoch: 30 [3456/49812]	Loss: 0.6898	LR: 0.004000
Training Epoch: 30 [3520/49812]	Loss: 0.5944	LR: 0.004000
Training Epoch: 30 [3584/49812]	Loss: 0.6685	LR: 0.004000
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Training Epoch: 30 [4096/49812]	Loss: 0.7281	LR: 0.004000
Training Epoch: 30 [4160/49812]	Loss: 0.6431	LR: 0.004000
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Training Epoch: 30 [4416/49812]	Loss: 1.0354	LR: 0.004000
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Training Epoch: 30 [4544/49812]	Loss: 0.6932	LR: 0.004000
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Training Epoch: 30 [5696/49812]	Loss: 0.6616	LR: 0.004000
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Training Epoch: 30 [6016/49812]	Loss: 0.4275	LR: 0.004000
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Training Epoch: 30 [6144/49812]	Loss: 0.6838	LR: 0.004000
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Training Epoch: 30 [6528/49812]	Loss: 0.6859	LR: 0.004000
Training Epoch: 30 [6592/49812]	Loss: 0.3424	LR: 0.004000
Training Epoch: 30 [6656/49812]	Loss: 0.4922	LR: 0.004000
Training Epoch: 30 [6720/49812]	Loss: 0.6068	LR: 0.004000
Training Epoch: 30 [6784/49812]	Loss: 0.7742	LR: 0.004000
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Training Epoch: 30 [6912/49812]	Loss: 0.5987	LR: 0.004000
Training Epoch: 30 [6976/49812]	Loss: 0.5638	LR: 0.004000
Training Epoch: 30 [7040/49812]	Loss: 0.6835	LR: 0.004000
Training Epoch: 30 [7104/49812]	Loss: 0.7348	LR: 0.004000
Training Epoch: 30 [7168/49812]	Loss: 0.6014	LR: 0.004000
Training Epoch: 30 [7232/49812]	Loss: 0.6662	LR: 0.004000
Training Epoch: 30 [7296/49812]	Loss: 0.6090	LR: 0.004000
Training Epoch: 30 [7360/49812]	Loss: 0.4369	LR: 0.004000
Training Epoch: 30 [7424/49812]	Loss: 0.6351	LR: 0.004000
Training Epoch: 30 [7488/49812]	Loss: 0.6707	LR: 0.004000
Training Epoch: 30 [7552/49812]	Loss: 0.6500	LR: 0.004000
Training Epoch: 30 [7616/49812]	Loss: 0.5749	LR: 0.004000
Training Epoch: 30 [7680/49812]	Loss: 0.8294	LR: 0.004000
Training Epoch: 30 [7744/49812]	Loss: 0.4554	LR: 0.004000
Training Epoch: 30 [7808/49812]	Loss: 0.6986	LR: 0.004000
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Training Epoch: 30 [8256/49812]	Loss: 0.5655	LR: 0.004000
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Training Epoch: 30 [8448/49812]	Loss: 0.4039	LR: 0.004000
Training Epoch: 30 [8512/49812]	Loss: 0.6955	LR: 0.004000
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Training Epoch: 30 [8832/49812]	Loss: 0.6714	LR: 0.004000
Training Epoch: 30 [8896/49812]	Loss: 0.5588	LR: 0.004000
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Training Epoch: 30 [9088/49812]	Loss: 0.7949	LR: 0.004000
Training Epoch: 30 [9152/49812]	Loss: 0.4611	LR: 0.004000
Training Epoch: 30 [9216/49812]	Loss: 0.6090	LR: 0.004000
Training Epoch: 30 [9280/49812]	Loss: 0.7293	LR: 0.004000
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Training Epoch: 30 [9408/49812]	Loss: 0.5368	LR: 0.004000
Training Epoch: 30 [9472/49812]	Loss: 0.6345	LR: 0.004000
Training Epoch: 30 [9536/49812]	Loss: 0.5352	LR: 0.004000
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Training Epoch: 30 [9728/49812]	Loss: 0.5304	LR: 0.004000
Training Epoch: 30 [9792/49812]	Loss: 0.4585	LR: 0.004000
Training Epoch: 30 [9856/49812]	Loss: 0.6897	LR: 0.004000
Training Epoch: 30 [9920/49812]	Loss: 0.6547	LR: 0.004000
Training Epoch: 30 [9984/49812]	Loss: 0.5442	LR: 0.004000
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Training Epoch: 30 [10112/49812]	Loss: 0.6739	LR: 0.004000
Training Epoch: 30 [10176/49812]	Loss: 0.6403	LR: 0.004000
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Training Epoch: 30 [12032/49812]	Loss: 0.4523	LR: 0.004000
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Training Epoch: 30 [12352/49812]	Loss: 0.5748	LR: 0.004000
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Training Epoch: 30 [12480/49812]	Loss: 0.7043	LR: 0.004000
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Training Epoch: 30 [18304/49812]	Loss: 0.7583	LR: 0.004000
Training Epoch: 30 [18368/49812]	Loss: 0.5085	LR: 0.004000
Training Epoch: 30 [18432/49812]	Loss: 0.7411	LR: 0.004000
Training Epoch: 30 [18496/49812]	Loss: 0.5462	LR: 0.004000
Training Epoch: 30 [18560/49812]	Loss: 0.6455	LR: 0.004000
Training Epoch: 30 [18624/49812]	Loss: 0.5402	LR: 0.004000
Training Epoch: 30 [18688/49812]	Loss: 0.7774	LR: 0.004000
Training Epoch: 30 [18752/49812]	Loss: 0.5537	LR: 0.004000
Training Epoch: 30 [18816/49812]	Loss: 0.5973	LR: 0.004000
Training Epoch: 30 [18880/49812]	Loss: 0.6644	LR: 0.004000
Training Epoch: 30 [18944/49812]	Loss: 0.4278	LR: 0.004000
Training Epoch: 30 [19008/49812]	Loss: 0.5115	LR: 0.004000
Training Epoch: 30 [19072/49812]	Loss: 0.5901	LR: 0.004000
Training Epoch: 30 [19136/49812]	Loss: 0.7539	LR: 0.004000
Training Epoch: 30 [19200/49812]	Loss: 0.5804	LR: 0.004000
Training Epoch: 30 [19264/49812]	Loss: 0.5382	LR: 0.004000
Training Epoch: 30 [19328/49812]	Loss: 0.4995	LR: 0.004000
Training Epoch: 30 [19392/49812]	Loss: 0.5013	LR: 0.004000
Training Epoch: 30 [19456/49812]	Loss: 0.8453	LR: 0.004000
Training Epoch: 30 [19520/49812]	Loss: 0.5527	LR: 0.004000
Training Epoch: 30 [19584/49812]	Loss: 0.5130	LR: 0.004000
Training Epoch: 30 [19648/49812]	Loss: 0.8472	LR: 0.004000
Training Epoch: 30 [19712/49812]	Loss: 0.6087	LR: 0.004000
Training Epoch: 30 [19776/49812]	Loss: 0.5904	LR: 0.004000
Training Epoch: 30 [19840/49812]	Loss: 0.6697	LR: 0.004000
Training Epoch: 30 [19904/49812]	Loss: 0.5251	LR: 0.004000
Training Epoch: 30 [19968/49812]	Loss: 0.4502	LR: 0.004000
Training Epoch: 30 [20032/49812]	Loss: 0.4579	LR: 0.004000
Training Epoch: 30 [20096/49812]	Loss: 0.3780	LR: 0.004000
Training Epoch: 30 [20160/49812]	Loss: 0.4407	LR: 0.004000
Training Epoch: 30 [20224/49812]	Loss: 0.6404	LR: 0.004000
Training Epoch: 30 [20288/49812]	Loss: 0.4895	LR: 0.004000
Training Epoch: 30 [20352/49812]	Loss: 0.3926	LR: 0.004000
Training Epoch: 30 [20416/49812]	Loss: 0.6617	LR: 0.004000
Training Epoch: 30 [20480/49812]	Loss: 0.5000	LR: 0.004000
Training Epoch: 30 [20544/49812]	Loss: 0.4903	LR: 0.004000
Training Epoch: 30 [20608/49812]	Loss: 0.5083	LR: 0.004000
Training Epoch: 30 [20672/49812]	Loss: 0.4672	LR: 0.004000
Training Epoch: 30 [20736/49812]	Loss: 0.5688	LR: 0.004000
Training Epoch: 30 [20800/49812]	Loss: 0.5177	LR: 0.004000
Training Epoch: 30 [20864/49812]	Loss: 0.8101	LR: 0.004000
Training Epoch: 30 [20928/49812]	Loss: 0.8437	LR: 0.004000
Training Epoch: 30 [20992/49812]	Loss: 0.5389	LR: 0.004000
Training Epoch: 30 [21056/49812]	Loss: 0.6853	LR: 0.004000
Training Epoch: 30 [21120/49812]	Loss: 0.3583	LR: 0.004000
Training Epoch: 30 [21184/49812]	Loss: 0.4983	LR: 0.004000
Training Epoch: 30 [21248/49812]	Loss: 0.4559	LR: 0.004000
Training Epoch: 30 [21312/49812]	Loss: 0.6391	LR: 0.004000
Training Epoch: 30 [21376/49812]	Loss: 0.6031	LR: 0.004000
Training Epoch: 30 [21440/49812]	Loss: 0.7098	LR: 0.004000
Training Epoch: 30 [21504/49812]	Loss: 0.7580	LR: 0.004000
Training Epoch: 30 [21568/49812]	Loss: 0.5739	LR: 0.004000
Training Epoch: 30 [21632/49812]	Loss: 0.4477	LR: 0.004000
Training Epoch: 30 [21696/49812]	Loss: 0.5872	LR: 0.004000
Training Epoch: 30 [21760/49812]	Loss: 0.5103	LR: 0.004000
Training Epoch: 30 [21824/49812]	Loss: 0.4356	LR: 0.004000
Training Epoch: 30 [21888/49812]	Loss: 0.4535	LR: 0.004000
Training Epoch: 30 [21952/49812]	Loss: 0.5188	LR: 0.004000
Training Epoch: 30 [22016/49812]	Loss: 0.5053	LR: 0.004000
Training Epoch: 30 [22080/49812]	Loss: 0.4878	LR: 0.004000
Training Epoch: 30 [22144/49812]	Loss: 0.6891	LR: 0.004000
Training Epoch: 30 [22208/49812]	Loss: 0.4528	LR: 0.004000
Training Epoch: 30 [22272/49812]	Loss: 0.6753	LR: 0.004000
Training Epoch: 30 [22336/49812]	Loss: 0.6943	LR: 0.004000
Training Epoch: 30 [22400/49812]	Loss: 0.5819	LR: 0.004000
Training Epoch: 30 [22464/49812]	Loss: 0.3418	LR: 0.004000
Training Epoch: 30 [22528/49812]	Loss: 0.6334	LR: 0.004000
Training Epoch: 30 [22592/49812]	Loss: 0.7879	LR: 0.004000
Training Epoch: 30 [22656/49812]	Loss: 0.6232	LR: 0.004000
Training Epoch: 30 [22720/49812]	Loss: 0.6944	LR: 0.004000
Training Epoch: 30 [22784/49812]	Loss: 0.4616	LR: 0.004000
Training Epoch: 30 [22848/49812]	Loss: 0.5946	LR: 0.004000
Training Epoch: 30 [22912/49812]	Loss: 0.6383	LR: 0.004000
Training Epoch: 30 [22976/49812]	Loss: 0.6354	LR: 0.004000
Training Epoch: 30 [23040/49812]	Loss: 0.4508	LR: 0.004000
Training Epoch: 30 [23104/49812]	Loss: 0.6324	LR: 0.004000
Training Epoch: 30 [23168/49812]	Loss: 0.6137	LR: 0.004000
Training Epoch: 30 [23232/49812]	Loss: 0.6175	LR: 0.004000
Training Epoch: 30 [23296/49812]	Loss: 0.4993	LR: 0.004000
Training Epoch: 30 [23360/49812]	Loss: 0.4989	LR: 0.004000
Training Epoch: 30 [23424/49812]	Loss: 0.6644	LR: 0.004000
Training Epoch: 30 [23488/49812]	Loss: 0.4569	LR: 0.004000
Training Epoch: 30 [23552/49812]	Loss: 0.4373	LR: 0.004000
Training Epoch: 30 [23616/49812]	Loss: 0.5447	LR: 0.004000
Training Epoch: 30 [23680/49812]	Loss: 0.3987	LR: 0.004000
Training Epoch: 30 [23744/49812]	Loss: 0.6286	LR: 0.004000
Training Epoch: 30 [23808/49812]	Loss: 0.4839	LR: 0.004000
Training Epoch: 30 [23872/49812]	Loss: 0.6130	LR: 0.004000
Training Epoch: 30 [23936/49812]	Loss: 0.4681	LR: 0.004000
Training Epoch: 30 [24000/49812]	Loss: 0.4453	LR: 0.004000
Training Epoch: 30 [24064/49812]	Loss: 0.5438	LR: 0.004000
Training Epoch: 30 [24128/49812]	Loss: 0.6841	LR: 0.004000
Training Epoch: 30 [24192/49812]	Loss: 0.6441	LR: 0.004000
Training Epoch: 30 [24256/49812]	Loss: 0.7147	LR: 0.004000
Training Epoch: 30 [24320/49812]	Loss: 0.5396	LR: 0.004000
Training Epoch: 30 [24384/49812]	Loss: 0.5200	LR: 0.004000
Training Epoch: 30 [24448/49812]	Loss: 0.5727	LR: 0.004000
Training Epoch: 30 [24512/49812]	Loss: 0.3921	LR: 0.004000
Training Epoch: 30 [24576/49812]	Loss: 0.6954	LR: 0.004000
Training Epoch: 30 [24640/49812]	Loss: 0.6778	LR: 0.004000
Training Epoch: 30 [24704/49812]	Loss: 0.4373	LR: 0.004000
Training Epoch: 30 [24768/49812]	Loss: 0.5476	LR: 0.004000
Training Epoch: 30 [24832/49812]	Loss: 0.5693	LR: 0.004000
Training Epoch: 30 [24896/49812]	Loss: 0.4867	LR: 0.004000
Training Epoch: 30 [24960/49812]	Loss: 0.6510	LR: 0.004000
Training Epoch: 30 [25024/49812]	Loss: 0.5212	LR: 0.004000
Training Epoch: 30 [25088/49812]	Loss: 0.4086	LR: 0.004000
Training Epoch: 30 [25152/49812]	Loss: 0.8533	LR: 0.004000
Training Epoch: 30 [25216/49812]	Loss: 0.6516	LR: 0.004000
Training Epoch: 30 [25280/49812]	Loss: 0.5941	LR: 0.004000
Training Epoch: 30 [25344/49812]	Loss: 0.3828	LR: 0.004000
Training Epoch: 30 [25408/49812]	Loss: 0.4029	LR: 0.004000
Training Epoch: 30 [25472/49812]	Loss: 0.5881	LR: 0.004000
Training Epoch: 30 [25536/49812]	Loss: 0.4172	LR: 0.004000
Training Epoch: 30 [25600/49812]	Loss: 0.4986	LR: 0.004000
Training Epoch: 30 [25664/49812]	Loss: 0.5460	LR: 0.004000
Training Epoch: 30 [25728/49812]	Loss: 0.4937	LR: 0.004000
Training Epoch: 30 [25792/49812]	Loss: 0.3694	LR: 0.004000
Training Epoch: 30 [25856/49812]	Loss: 0.5833	LR: 0.004000
Training Epoch: 30 [25920/49812]	Loss: 0.5766	LR: 0.004000
Training Epoch: 30 [25984/49812]	Loss: 0.6790	LR: 0.004000
Training Epoch: 30 [26048/49812]	Loss: 0.5651	LR: 0.004000
Training Epoch: 30 [26112/49812]	Loss: 0.6137	LR: 0.004000
Training Epoch: 30 [26176/49812]	Loss: 0.4438	LR: 0.004000
Training Epoch: 30 [26240/49812]	Loss: 0.7173	LR: 0.004000
Training Epoch: 30 [26304/49812]	Loss: 0.4617	LR: 0.004000
Training Epoch: 30 [26368/49812]	Loss: 0.6859	LR: 0.004000
Training Epoch: 30 [26432/49812]	Loss: 0.6896	LR: 0.004000
Training Epoch: 30 [26496/49812]	Loss: 0.5164	LR: 0.004000
Training Epoch: 30 [26560/49812]	Loss: 0.6506	LR: 0.004000
Training Epoch: 30 [26624/49812]	Loss: 0.6651	LR: 0.004000
Training Epoch: 30 [26688/49812]	Loss: 0.4188	LR: 0.004000
Training Epoch: 30 [26752/49812]	Loss: 0.4586	LR: 0.004000
Training Epoch: 30 [26816/49812]	Loss: 0.7809	LR: 0.004000
Training Epoch: 30 [26880/49812]	Loss: 0.7005	LR: 0.004000
Training Epoch: 30 [26944/49812]	Loss: 0.5483	LR: 0.004000
Training Epoch: 30 [27008/49812]	Loss: 0.5644	LR: 0.004000
Training Epoch: 30 [27072/49812]	Loss: 0.5202	LR: 0.004000
Training Epoch: 30 [27136/49812]	Loss: 0.5649	LR: 0.004000
Training Epoch: 30 [27200/49812]	Loss: 0.5522	LR: 0.004000
Training Epoch: 30 [27264/49812]	Loss: 0.5846	LR: 0.004000
Training Epoch: 30 [27328/49812]	Loss: 0.6957	LR: 0.004000
Training Epoch: 30 [27392/49812]	Loss: 0.7354	LR: 0.004000
Training Epoch: 30 [27456/49812]	Loss: 0.6440	LR: 0.004000
Training Epoch: 30 [27520/49812]	Loss: 0.6075	LR: 0.004000
Training Epoch: 30 [27584/49812]	Loss: 0.5841	LR: 0.004000
Training Epoch: 30 [27648/49812]	Loss: 0.5471	LR: 0.004000
Training Epoch: 30 [27712/49812]	Loss: 0.9128	LR: 0.004000
Training Epoch: 30 [27776/49812]	Loss: 0.7145	LR: 0.004000
Training Epoch: 30 [27840/49812]	Loss: 0.6038	LR: 0.004000
Training Epoch: 30 [27904/49812]	Loss: 0.4669	LR: 0.004000
Training Epoch: 30 [27968/49812]	Loss: 0.5522	LR: 0.004000
Training Epoch: 30 [28032/49812]	Loss: 0.4931	LR: 0.004000
Training Epoch: 30 [28096/49812]	Loss: 0.4532	LR: 0.004000
Training Epoch: 30 [28160/49812]	Loss: 0.4466	LR: 0.004000
Training Epoch: 30 [28224/49812]	Loss: 0.6523	LR: 0.004000
Training Epoch: 30 [28288/49812]	Loss: 0.4840	LR: 0.004000
Training Epoch: 30 [28352/49812]	Loss: 0.4580	LR: 0.004000
Training Epoch: 30 [28416/49812]	Loss: 0.7270	LR: 0.004000
Training Epoch: 30 [28480/49812]	Loss: 0.5051	LR: 0.004000
Training Epoch: 30 [28544/49812]	Loss: 0.3536	LR: 0.004000
Training Epoch: 30 [28608/49812]	Loss: 0.7120	LR: 0.004000
Training Epoch: 30 [28672/49812]	Loss: 0.4833	LR: 0.004000
Training Epoch: 30 [28736/49812]	Loss: 0.5188	LR: 0.004000
Training Epoch: 30 [28800/49812]	Loss: 0.6454	LR: 0.004000
Training Epoch: 30 [28864/49812]	Loss: 0.5789	LR: 0.004000
Training Epoch: 30 [28928/49812]	Loss: 0.8406	LR: 0.004000
Training Epoch: 30 [28992/49812]	Loss: 0.5646	LR: 0.004000
Training Epoch: 30 [29056/49812]	Loss: 0.6105	LR: 0.004000
Training Epoch: 30 [29120/49812]	Loss: 0.6599	LR: 0.004000
Training Epoch: 30 [29184/49812]	Loss: 0.6061	LR: 0.004000
Training Epoch: 30 [29248/49812]	Loss: 0.5123	LR: 0.004000
Training Epoch: 30 [29312/49812]	Loss: 0.7109	LR: 0.004000
Training Epoch: 30 [29376/49812]	Loss: 0.6801	LR: 0.004000
Training Epoch: 30 [29440/49812]	Loss: 0.6728	LR: 0.004000
Training Epoch: 30 [29504/49812]	Loss: 0.7781	LR: 0.004000
Training Epoch: 30 [29568/49812]	Loss: 0.5125	LR: 0.004000
Training Epoch: 30 [29632/49812]	Loss: 0.5324	LR: 0.004000
Training Epoch: 30 [29696/49812]	Loss: 0.5453	LR: 0.004000
Training Epoch: 30 [29760/49812]	Loss: 0.6186	LR: 0.004000
Training Epoch: 30 [29824/49812]	Loss: 0.4603	LR: 0.004000
Training Epoch: 30 [29888/49812]	Loss: 0.6354	LR: 0.004000
Training Epoch: 30 [29952/49812]	Loss: 0.6416	LR: 0.004000
Training Epoch: 30 [30016/49812]	Loss: 0.5243	LR: 0.004000
Training Epoch: 30 [30080/49812]	Loss: 0.5137	LR: 0.004000
Training Epoch: 30 [30144/49812]	Loss: 0.5358	LR: 0.004000
Training Epoch: 30 [30208/49812]	Loss: 0.4076	LR: 0.004000
Training Epoch: 30 [30272/49812]	Loss: 0.5322	LR: 0.004000
Training Epoch: 30 [30336/49812]	Loss: 0.6137	LR: 0.004000
Training Epoch: 30 [30400/49812]	Loss: 0.4021	LR: 0.004000
Training Epoch: 30 [30464/49812]	Loss: 0.5617	LR: 0.004000
Training Epoch: 30 [30528/49812]	Loss: 0.6540	LR: 0.004000
Training Epoch: 30 [30592/49812]	Loss: 0.6206	LR: 0.004000
Training Epoch: 30 [30656/49812]	Loss: 0.6238	LR: 0.004000
Training Epoch: 30 [30720/49812]	Loss: 0.6752	LR: 0.004000
Training Epoch: 30 [30784/49812]	Loss: 0.5996	LR: 0.004000
Training Epoch: 30 [30848/49812]	Loss: 0.6018	LR: 0.004000
Training Epoch: 30 [30912/49812]	Loss: 0.6266	LR: 0.004000
Training Epoch: 30 [30976/49812]	Loss: 0.4934	LR: 0.004000
Training Epoch: 30 [31040/49812]	Loss: 0.6688	LR: 0.004000
Training Epoch: 30 [31104/49812]	Loss: 0.6556	LR: 0.004000
Training Epoch: 30 [31168/49812]	Loss: 0.6517	LR: 0.004000
Training Epoch: 30 [31232/49812]	Loss: 0.4663	LR: 0.004000
Training Epoch: 30 [31296/49812]	Loss: 0.5307	LR: 0.004000
Training Epoch: 30 [31360/49812]	Loss: 0.5991	LR: 0.004000
Training Epoch: 30 [31424/49812]	Loss: 0.6968	LR: 0.004000
Training Epoch: 30 [31488/49812]	Loss: 0.6596	LR: 0.004000
Training Epoch: 30 [31552/49812]	Loss: 0.4812	LR: 0.004000
Training Epoch: 30 [31616/49812]	Loss: 0.5774	LR: 0.004000
Training Epoch: 30 [31680/49812]	Loss: 0.6506	LR: 0.004000
Training Epoch: 30 [31744/49812]	Loss: 0.4940	LR: 0.004000
Training Epoch: 30 [31808/49812]	Loss: 0.7787	LR: 0.004000
Training Epoch: 30 [31872/49812]	Loss: 0.4004	LR: 0.004000
Training Epoch: 30 [31936/49812]	Loss: 0.4892	LR: 0.004000
Training Epoch: 30 [32000/49812]	Loss: 0.5432	LR: 0.004000
Training Epoch: 30 [32064/49812]	Loss: 0.5600	LR: 0.004000
Training Epoch: 30 [32128/49812]	Loss: 0.7112	LR: 0.004000
Training Epoch: 30 [32192/49812]	Loss: 0.6490	LR: 0.004000
Training Epoch: 30 [32256/49812]	Loss: 0.5223	LR: 0.004000
Training Epoch: 30 [32320/49812]	Loss: 0.5677	LR: 0.004000
Training Epoch: 30 [32384/49812]	Loss: 0.6450	LR: 0.004000
Training Epoch: 30 [32448/49812]	Loss: 0.6208	LR: 0.004000
Training Epoch: 30 [32512/49812]	Loss: 0.7546	LR: 0.004000
Training Epoch: 30 [32576/49812]	Loss: 0.4770	LR: 0.004000
Training Epoch: 30 [32640/49812]	Loss: 0.4599	LR: 0.004000
Training Epoch: 30 [32704/49812]	Loss: 0.7494	LR: 0.004000
Training Epoch: 30 [32768/49812]	Loss: 0.8371	LR: 0.004000
Training Epoch: 30 [32832/49812]	Loss: 0.3818	LR: 0.004000
Training Epoch: 30 [32896/49812]	Loss: 0.6195	LR: 0.004000
Training Epoch: 30 [32960/49812]	Loss: 0.4842	LR: 0.004000
Training Epoch: 30 [33024/49812]	Loss: 0.5458	LR: 0.004000
Training Epoch: 30 [33088/49812]	Loss: 0.6745	LR: 0.004000
Training Epoch: 30 [33152/49812]	Loss: 0.5101	LR: 0.004000
Training Epoch: 30 [33216/49812]	Loss: 0.5741	LR: 0.004000
Training Epoch: 30 [33280/49812]	Loss: 0.4353	LR: 0.004000
Training Epoch: 30 [33344/49812]	Loss: 0.4359	LR: 0.004000
Training Epoch: 30 [33408/49812]	Loss: 0.5514	LR: 0.004000
Training Epoch: 30 [33472/49812]	Loss: 0.4802	LR: 0.004000
Training Epoch: 30 [33536/49812]	Loss: 0.5904	LR: 0.004000
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Training Epoch: 30 [33664/49812]	Loss: 0.5202	LR: 0.004000
Training Epoch: 30 [33728/49812]	Loss: 0.5227	LR: 0.004000
Training Epoch: 30 [33792/49812]	Loss: 0.4192	LR: 0.004000
Training Epoch: 30 [33856/49812]	Loss: 0.5509	LR: 0.004000
Training Epoch: 30 [33920/49812]	Loss: 0.5375	LR: 0.004000
Training Epoch: 30 [33984/49812]	Loss: 0.5898	LR: 0.004000
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Training Epoch: 30 [34112/49812]	Loss: 0.5679	LR: 0.004000
Training Epoch: 30 [34176/49812]	Loss: 0.5178	LR: 0.004000
Training Epoch: 30 [34240/49812]	Loss: 0.6453	LR: 0.004000
Training Epoch: 30 [34304/49812]	Loss: 0.6283	LR: 0.004000
Training Epoch: 30 [34368/49812]	Loss: 0.9068	LR: 0.004000
Training Epoch: 30 [34432/49812]	Loss: 0.5464	LR: 0.004000
Training Epoch: 30 [34496/49812]	Loss: 0.7871	LR: 0.004000
Training Epoch: 30 [34560/49812]	Loss: 0.4952	LR: 0.004000
Training Epoch: 30 [34624/49812]	Loss: 0.4449	LR: 0.004000
Training Epoch: 30 [34688/49812]	Loss: 0.6549	LR: 0.004000
Training Epoch: 30 [34752/49812]	Loss: 0.6098	LR: 0.004000
Training Epoch: 30 [34816/49812]	Loss: 0.6301	LR: 0.004000
Training Epoch: 30 [34880/49812]	Loss: 0.4252	LR: 0.004000
Training Epoch: 30 [34944/49812]	Loss: 0.5799	LR: 0.004000
Training Epoch: 30 [35008/49812]	Loss: 0.5040	LR: 0.004000
Training Epoch: 30 [35072/49812]	Loss: 0.6943	LR: 0.004000
Training Epoch: 30 [35136/49812]	Loss: 0.4414	LR: 0.004000
Training Epoch: 30 [35200/49812]	Loss: 0.6170	LR: 0.004000
Training Epoch: 30 [35264/49812]	Loss: 0.3941	LR: 0.004000
Training Epoch: 30 [35328/49812]	Loss: 0.4667	LR: 0.004000
Training Epoch: 30 [35392/49812]	Loss: 0.4668	LR: 0.004000
Training Epoch: 30 [35456/49812]	Loss: 0.7188	LR: 0.004000
Training Epoch: 30 [35520/49812]	Loss: 0.9248	LR: 0.004000
Training Epoch: 30 [35584/49812]	Loss: 0.6007	LR: 0.004000
Training Epoch: 30 [35648/49812]	Loss: 0.4738	LR: 0.004000
Training Epoch: 30 [35712/49812]	Loss: 0.5277	LR: 0.004000
Training Epoch: 30 [35776/49812]	Loss: 0.5636	LR: 0.004000
Training Epoch: 30 [35840/49812]	Loss: 0.4383	LR: 0.004000
Training Epoch: 30 [35904/49812]	Loss: 0.7251	LR: 0.004000
Training Epoch: 30 [35968/49812]	Loss: 0.4391	LR: 0.004000
Training Epoch: 30 [36032/49812]	Loss: 0.4704	LR: 0.004000
Training Epoch: 30 [36096/49812]	Loss: 0.5305	LR: 0.004000
Training Epoch: 30 [36160/49812]	Loss: 0.4977	LR: 0.004000
Training Epoch: 30 [36224/49812]	Loss: 0.3910	LR: 0.004000
Training Epoch: 30 [36288/49812]	Loss: 0.6289	LR: 0.004000
Training Epoch: 30 [36352/49812]	Loss: 0.7106	LR: 0.004000
Training Epoch: 30 [36416/49812]	Loss: 0.8945	LR: 0.004000
Training Epoch: 30 [36480/49812]	Loss: 0.6811	LR: 0.004000
Training Epoch: 30 [36544/49812]	Loss: 0.3756	LR: 0.004000
Training Epoch: 30 [36608/49812]	Loss: 0.5648	LR: 0.004000
Training Epoch: 30 [36672/49812]	Loss: 0.5207	LR: 0.004000
Training Epoch: 30 [36736/49812]	Loss: 0.4538	LR: 0.004000
Training Epoch: 30 [36800/49812]	Loss: 0.6135	LR: 0.004000
Training Epoch: 30 [36864/49812]	Loss: 0.4165	LR: 0.004000
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Training Epoch: 30 [49812/49812]	Loss: 0.6646	LR: 0.004000
Epoch 30 - Average Train Loss: 0.5932, Train Accuracy: 0.8118
Epoch 30 training time consumed: 263.84s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0108, Accuracy: 0.7849, Time consumed:17.63s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-30-best.pth
Training Epoch: 31 [64/49812]	Loss: 0.5782	LR: 0.004000
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Training Epoch: 31 [5312/49812]	Loss: 0.7492	LR: 0.004000
Training Epoch: 31 [5376/49812]	Loss: 0.4463	LR: 0.004000
Training Epoch: 31 [5440/49812]	Loss: 0.3375	LR: 0.004000
Training Epoch: 31 [5504/49812]	Loss: 0.7168	LR: 0.004000
Training Epoch: 31 [5568/49812]	Loss: 0.5779	LR: 0.004000
Training Epoch: 31 [5632/49812]	Loss: 0.4278	LR: 0.004000
Training Epoch: 31 [5696/49812]	Loss: 0.5718	LR: 0.004000
Training Epoch: 31 [5760/49812]	Loss: 0.4608	LR: 0.004000
Training Epoch: 31 [5824/49812]	Loss: 0.6077	LR: 0.004000
Training Epoch: 31 [5888/49812]	Loss: 0.6198	LR: 0.004000
Training Epoch: 31 [5952/49812]	Loss: 0.6521	LR: 0.004000
Training Epoch: 31 [6016/49812]	Loss: 0.5784	LR: 0.004000
Training Epoch: 31 [6080/49812]	Loss: 0.5312	LR: 0.004000
Training Epoch: 31 [6144/49812]	Loss: 0.5193	LR: 0.004000
Training Epoch: 31 [6208/49812]	Loss: 0.3991	LR: 0.004000
Training Epoch: 31 [6272/49812]	Loss: 0.6007	LR: 0.004000
Training Epoch: 31 [6336/49812]	Loss: 0.4981	LR: 0.004000
Training Epoch: 31 [6400/49812]	Loss: 0.5269	LR: 0.004000
Training Epoch: 31 [6464/49812]	Loss: 0.6927	LR: 0.004000
Training Epoch: 31 [6528/49812]	Loss: 0.4922	LR: 0.004000
Training Epoch: 31 [6592/49812]	Loss: 0.4778	LR: 0.004000
Training Epoch: 31 [6656/49812]	Loss: 0.4015	LR: 0.004000
Training Epoch: 31 [6720/49812]	Loss: 0.4748	LR: 0.004000
Training Epoch: 31 [6784/49812]	Loss: 0.4904	LR: 0.004000
Training Epoch: 31 [6848/49812]	Loss: 0.5288	LR: 0.004000
Training Epoch: 31 [6912/49812]	Loss: 0.6330	LR: 0.004000
Training Epoch: 31 [6976/49812]	Loss: 0.5567	LR: 0.004000
Training Epoch: 31 [7040/49812]	Loss: 0.5451	LR: 0.004000
Training Epoch: 31 [7104/49812]	Loss: 0.6719	LR: 0.004000
Training Epoch: 31 [7168/49812]	Loss: 0.8701	LR: 0.004000
Training Epoch: 31 [7232/49812]	Loss: 0.5962	LR: 0.004000
Training Epoch: 31 [7296/49812]	Loss: 0.4084	LR: 0.004000
Training Epoch: 31 [7360/49812]	Loss: 0.4563	LR: 0.004000
Training Epoch: 31 [7424/49812]	Loss: 0.6442	LR: 0.004000
Training Epoch: 31 [7488/49812]	Loss: 0.3849	LR: 0.004000
Training Epoch: 31 [7552/49812]	Loss: 0.4610	LR: 0.004000
Training Epoch: 31 [7616/49812]	Loss: 0.3263	LR: 0.004000
Training Epoch: 31 [7680/49812]	Loss: 0.4617	LR: 0.004000
Training Epoch: 31 [7744/49812]	Loss: 0.5741	LR: 0.004000
Training Epoch: 31 [7808/49812]	Loss: 0.5879	LR: 0.004000
Training Epoch: 31 [7872/49812]	Loss: 0.5581	LR: 0.004000
Training Epoch: 31 [7936/49812]	Loss: 0.4193	LR: 0.004000
Training Epoch: 31 [8000/49812]	Loss: 0.6069	LR: 0.004000
Training Epoch: 31 [8064/49812]	Loss: 0.3110	LR: 0.004000
Training Epoch: 31 [8128/49812]	Loss: 0.4729	LR: 0.004000
Training Epoch: 31 [8192/49812]	Loss: 0.4108	LR: 0.004000
Training Epoch: 31 [8256/49812]	Loss: 0.6556	LR: 0.004000
Training Epoch: 31 [8320/49812]	Loss: 0.5349	LR: 0.004000
Training Epoch: 31 [8384/49812]	Loss: 0.4764	LR: 0.004000
Training Epoch: 31 [8448/49812]	Loss: 0.5103	LR: 0.004000
Training Epoch: 31 [8512/49812]	Loss: 0.4354	LR: 0.004000
Training Epoch: 31 [8576/49812]	Loss: 0.3426	LR: 0.004000
Training Epoch: 31 [8640/49812]	Loss: 0.4874	LR: 0.004000
Training Epoch: 31 [8704/49812]	Loss: 0.4858	LR: 0.004000
Training Epoch: 31 [8768/49812]	Loss: 0.4870	LR: 0.004000
Training Epoch: 31 [8832/49812]	Loss: 0.4926	LR: 0.004000
Training Epoch: 31 [8896/49812]	Loss: 0.4915	LR: 0.004000
Training Epoch: 31 [8960/49812]	Loss: 0.5620	LR: 0.004000
Training Epoch: 31 [9024/49812]	Loss: 0.7457	LR: 0.004000
Training Epoch: 31 [9088/49812]	Loss: 0.7257	LR: 0.004000
Training Epoch: 31 [9152/49812]	Loss: 0.4231	LR: 0.004000
Training Epoch: 31 [9216/49812]	Loss: 0.6819	LR: 0.004000
Training Epoch: 31 [9280/49812]	Loss: 0.4181	LR: 0.004000
Training Epoch: 31 [9344/49812]	Loss: 0.5317	LR: 0.004000
Training Epoch: 31 [9408/49812]	Loss: 0.5504	LR: 0.004000
Training Epoch: 31 [9472/49812]	Loss: 0.6765	LR: 0.004000
Training Epoch: 31 [9536/49812]	Loss: 0.6336	LR: 0.004000
Training Epoch: 31 [9600/49812]	Loss: 0.4828	LR: 0.004000
Training Epoch: 31 [9664/49812]	Loss: 0.5161	LR: 0.004000
Training Epoch: 31 [9728/49812]	Loss: 0.6782	LR: 0.004000
Training Epoch: 31 [9792/49812]	Loss: 0.4809	LR: 0.004000
Training Epoch: 31 [9856/49812]	Loss: 0.4789	LR: 0.004000
Training Epoch: 31 [9920/49812]	Loss: 0.4492	LR: 0.004000
Training Epoch: 31 [9984/49812]	Loss: 0.6526	LR: 0.004000
Training Epoch: 31 [10048/49812]	Loss: 0.4945	LR: 0.004000
Training Epoch: 31 [10112/49812]	Loss: 0.7352	LR: 0.004000
Training Epoch: 31 [10176/49812]	Loss: 0.6091	LR: 0.004000
Training Epoch: 31 [10240/49812]	Loss: 0.5667	LR: 0.004000
Training Epoch: 31 [10304/49812]	Loss: 0.7542	LR: 0.004000
Training Epoch: 31 [10368/49812]	Loss: 0.5604	LR: 0.004000
Training Epoch: 31 [10432/49812]	Loss: 0.6154	LR: 0.004000
Training Epoch: 31 [10496/49812]	Loss: 0.5921	LR: 0.004000
Training Epoch: 31 [10560/49812]	Loss: 0.4471	LR: 0.004000
Training Epoch: 31 [10624/49812]	Loss: 0.6539	LR: 0.004000
Training Epoch: 31 [10688/49812]	Loss: 0.4521	LR: 0.004000
Training Epoch: 31 [10752/49812]	Loss: 0.5391	LR: 0.004000
Training Epoch: 31 [10816/49812]	Loss: 0.5028	LR: 0.004000
Training Epoch: 31 [10880/49812]	Loss: 0.4326	LR: 0.004000
Training Epoch: 31 [10944/49812]	Loss: 0.3484	LR: 0.004000
Training Epoch: 31 [11008/49812]	Loss: 0.5337	LR: 0.004000
Training Epoch: 31 [11072/49812]	Loss: 0.4277	LR: 0.004000
Training Epoch: 31 [11136/49812]	Loss: 0.6127	LR: 0.004000
Training Epoch: 31 [11200/49812]	Loss: 0.4895	LR: 0.004000
Training Epoch: 31 [11264/49812]	Loss: 0.5505	LR: 0.004000
Training Epoch: 31 [11328/49812]	Loss: 0.5883	LR: 0.004000
Training Epoch: 31 [11392/49812]	Loss: 0.7157	LR: 0.004000
Training Epoch: 31 [11456/49812]	Loss: 0.3195	LR: 0.004000
Training Epoch: 31 [11520/49812]	Loss: 0.5029	LR: 0.004000
Training Epoch: 31 [11584/49812]	Loss: 0.5470	LR: 0.004000
Training Epoch: 31 [11648/49812]	Loss: 0.4630	LR: 0.004000
Training Epoch: 31 [11712/49812]	Loss: 0.3765	LR: 0.004000
Training Epoch: 31 [11776/49812]	Loss: 0.5892	LR: 0.004000
Training Epoch: 31 [11840/49812]	Loss: 0.6853	LR: 0.004000
Training Epoch: 31 [11904/49812]	Loss: 0.6440	LR: 0.004000
Training Epoch: 31 [11968/49812]	Loss: 0.5337	LR: 0.004000
Training Epoch: 31 [12032/49812]	Loss: 0.5200	LR: 0.004000
Training Epoch: 31 [12096/49812]	Loss: 0.7126	LR: 0.004000
Training Epoch: 31 [12160/49812]	Loss: 0.4889	LR: 0.004000
Training Epoch: 31 [12224/49812]	Loss: 0.5929	LR: 0.004000
Training Epoch: 31 [12288/49812]	Loss: 0.4927	LR: 0.004000
Training Epoch: 31 [12352/49812]	Loss: 0.5971	LR: 0.004000
Training Epoch: 31 [12416/49812]	Loss: 0.6148	LR: 0.004000
Training Epoch: 31 [12480/49812]	Loss: 0.4284	LR: 0.004000
Training Epoch: 31 [12544/49812]	Loss: 0.4756	LR: 0.004000
Training Epoch: 31 [12608/49812]	Loss: 0.5039	LR: 0.004000
Training Epoch: 31 [12672/49812]	Loss: 0.6719	LR: 0.004000
Training Epoch: 31 [12736/49812]	Loss: 0.5966	LR: 0.004000
Training Epoch: 31 [12800/49812]	Loss: 0.5663	LR: 0.004000
Training Epoch: 31 [12864/49812]	Loss: 0.3824	LR: 0.004000
Training Epoch: 31 [12928/49812]	Loss: 0.8210	LR: 0.004000
Training Epoch: 31 [12992/49812]	Loss: 0.5358	LR: 0.004000
Training Epoch: 31 [13056/49812]	Loss: 0.9061	LR: 0.004000
Training Epoch: 31 [13120/49812]	Loss: 0.5399	LR: 0.004000
Training Epoch: 31 [13184/49812]	Loss: 0.5319	LR: 0.004000
Training Epoch: 31 [13248/49812]	Loss: 0.5115	LR: 0.004000
Training Epoch: 31 [13312/49812]	Loss: 0.5504	LR: 0.004000
Training Epoch: 31 [13376/49812]	Loss: 0.5777	LR: 0.004000
Training Epoch: 31 [13440/49812]	Loss: 0.7731	LR: 0.004000
Training Epoch: 31 [13504/49812]	Loss: 0.4940	LR: 0.004000
Training Epoch: 31 [13568/49812]	Loss: 0.6090	LR: 0.004000
Training Epoch: 31 [13632/49812]	Loss: 0.4880	LR: 0.004000
Training Epoch: 31 [13696/49812]	Loss: 0.4025	LR: 0.004000
Training Epoch: 31 [13760/49812]	Loss: 0.4590	LR: 0.004000
Training Epoch: 31 [13824/49812]	Loss: 0.5291	LR: 0.004000
Training Epoch: 31 [13888/49812]	Loss: 0.5580	LR: 0.004000
Training Epoch: 31 [13952/49812]	Loss: 0.3871	LR: 0.004000
Training Epoch: 31 [14016/49812]	Loss: 0.5318	LR: 0.004000
Training Epoch: 31 [14080/49812]	Loss: 0.4900	LR: 0.004000
Training Epoch: 31 [14144/49812]	Loss: 0.2695	LR: 0.004000
Training Epoch: 31 [14208/49812]	Loss: 0.4758	LR: 0.004000
Training Epoch: 31 [14272/49812]	Loss: 0.8405	LR: 0.004000
Training Epoch: 31 [14336/49812]	Loss: 0.7742	LR: 0.004000
Training Epoch: 31 [14400/49812]	Loss: 0.4645	LR: 0.004000
Training Epoch: 31 [14464/49812]	Loss: 0.5021	LR: 0.004000
Training Epoch: 31 [14528/49812]	Loss: 0.4577	LR: 0.004000
Training Epoch: 31 [14592/49812]	Loss: 0.7833	LR: 0.004000
Training Epoch: 31 [14656/49812]	Loss: 0.5516	LR: 0.004000
Training Epoch: 31 [14720/49812]	Loss: 0.4620	LR: 0.004000
Training Epoch: 31 [14784/49812]	Loss: 0.4576	LR: 0.004000
Training Epoch: 31 [14848/49812]	Loss: 0.5308	LR: 0.004000
Training Epoch: 31 [14912/49812]	Loss: 0.4665	LR: 0.004000
Training Epoch: 31 [14976/49812]	Loss: 0.4745	LR: 0.004000
Training Epoch: 31 [15040/49812]	Loss: 0.4315	LR: 0.004000
Training Epoch: 31 [15104/49812]	Loss: 0.5920	LR: 0.004000
Training Epoch: 31 [15168/49812]	Loss: 0.4923	LR: 0.004000
Training Epoch: 31 [15232/49812]	Loss: 0.4571	LR: 0.004000
Training Epoch: 31 [15296/49812]	Loss: 0.4679	LR: 0.004000
Training Epoch: 31 [15360/49812]	Loss: 0.5103	LR: 0.004000
Training Epoch: 31 [15424/49812]	Loss: 0.7561	LR: 0.004000
Training Epoch: 31 [15488/49812]	Loss: 0.5184	LR: 0.004000
Training Epoch: 31 [15552/49812]	Loss: 0.4669	LR: 0.004000
Training Epoch: 31 [15616/49812]	Loss: 0.3470	LR: 0.004000
Training Epoch: 31 [15680/49812]	Loss: 0.4717	LR: 0.004000
Training Epoch: 31 [15744/49812]	Loss: 0.5824	LR: 0.004000
Training Epoch: 31 [15808/49812]	Loss: 0.5493	LR: 0.004000
Training Epoch: 31 [15872/49812]	Loss: 0.6189	LR: 0.004000
Training Epoch: 31 [15936/49812]	Loss: 0.4387	LR: 0.004000
Training Epoch: 31 [16000/49812]	Loss: 0.4648	LR: 0.004000
Training Epoch: 31 [16064/49812]	Loss: 0.4207	LR: 0.004000
Training Epoch: 31 [16128/49812]	Loss: 0.5421	LR: 0.004000
Training Epoch: 31 [16192/49812]	Loss: 0.3440	LR: 0.004000
Training Epoch: 31 [16256/49812]	Loss: 0.6120	LR: 0.004000
Training Epoch: 31 [16320/49812]	Loss: 0.4700	LR: 0.004000
Training Epoch: 31 [16384/49812]	Loss: 0.5989	LR: 0.004000
Training Epoch: 31 [16448/49812]	Loss: 0.7817	LR: 0.004000
Training Epoch: 31 [16512/49812]	Loss: 0.4708	LR: 0.004000
Training Epoch: 31 [16576/49812]	Loss: 0.5465	LR: 0.004000
Training Epoch: 31 [16640/49812]	Loss: 0.5115	LR: 0.004000
Training Epoch: 31 [16704/49812]	Loss: 0.6400	LR: 0.004000
Training Epoch: 31 [16768/49812]	Loss: 0.6254	LR: 0.004000
Training Epoch: 31 [16832/49812]	Loss: 0.5282	LR: 0.004000
Training Epoch: 31 [16896/49812]	Loss: 0.6981	LR: 0.004000
Training Epoch: 31 [16960/49812]	Loss: 0.5356	LR: 0.004000
Training Epoch: 31 [17024/49812]	Loss: 0.4809	LR: 0.004000
Training Epoch: 31 [17088/49812]	Loss: 0.4736	LR: 0.004000
Training Epoch: 31 [17152/49812]	Loss: 0.6635	LR: 0.004000
Training Epoch: 31 [17216/49812]	Loss: 0.5191	LR: 0.004000
Training Epoch: 31 [17280/49812]	Loss: 0.3343	LR: 0.004000
Training Epoch: 31 [17344/49812]	Loss: 0.5267	LR: 0.004000
Training Epoch: 31 [17408/49812]	Loss: 0.7519	LR: 0.004000
Training Epoch: 31 [17472/49812]	Loss: 0.6278	LR: 0.004000
Training Epoch: 31 [17536/49812]	Loss: 0.3131	LR: 0.004000
Training Epoch: 31 [17600/49812]	Loss: 0.5275	LR: 0.004000
Training Epoch: 31 [17664/49812]	Loss: 0.4054	LR: 0.004000
Training Epoch: 31 [17728/49812]	Loss: 0.6062	LR: 0.004000
Training Epoch: 31 [17792/49812]	Loss: 0.3182	LR: 0.004000
Training Epoch: 31 [17856/49812]	Loss: 0.4714	LR: 0.004000
Training Epoch: 31 [17920/49812]	Loss: 0.6716	LR: 0.004000
Training Epoch: 31 [17984/49812]	Loss: 0.4208	LR: 0.004000
Training Epoch: 31 [18048/49812]	Loss: 0.6871	LR: 0.004000
Training Epoch: 31 [18112/49812]	Loss: 0.3401	LR: 0.004000
Training Epoch: 31 [18176/49812]	Loss: 0.6886	LR: 0.004000
Training Epoch: 31 [18240/49812]	Loss: 0.5736	LR: 0.004000
Training Epoch: 31 [18304/49812]	Loss: 0.7176	LR: 0.004000
Training Epoch: 31 [18368/49812]	Loss: 0.4516	LR: 0.004000
Training Epoch: 31 [18432/49812]	Loss: 0.7344	LR: 0.004000
Training Epoch: 31 [18496/49812]	Loss: 0.4932	LR: 0.004000
Training Epoch: 31 [18560/49812]	Loss: 0.9082	LR: 0.004000
Training Epoch: 31 [18624/49812]	Loss: 0.5645	LR: 0.004000
Training Epoch: 31 [18688/49812]	Loss: 0.6225	LR: 0.004000
Training Epoch: 31 [18752/49812]	Loss: 0.4697	LR: 0.004000
Training Epoch: 31 [18816/49812]	Loss: 0.4260	LR: 0.004000
Training Epoch: 31 [18880/49812]	Loss: 0.4695	LR: 0.004000
Training Epoch: 31 [18944/49812]	Loss: 0.6715	LR: 0.004000
Training Epoch: 31 [19008/49812]	Loss: 0.5858	LR: 0.004000
Training Epoch: 31 [19072/49812]	Loss: 0.7889	LR: 0.004000
Training Epoch: 31 [19136/49812]	Loss: 0.7072	LR: 0.004000
Training Epoch: 31 [19200/49812]	Loss: 0.5523	LR: 0.004000
Training Epoch: 31 [19264/49812]	Loss: 0.5063	LR: 0.004000
Training Epoch: 31 [19328/49812]	Loss: 0.5026	LR: 0.004000
Training Epoch: 31 [19392/49812]	Loss: 0.5052	LR: 0.004000
Training Epoch: 31 [19456/49812]	Loss: 0.6896	LR: 0.004000
Training Epoch: 31 [19520/49812]	Loss: 0.6109	LR: 0.004000
Training Epoch: 31 [19584/49812]	Loss: 0.4366	LR: 0.004000
Training Epoch: 31 [19648/49812]	Loss: 0.5302	LR: 0.004000
Training Epoch: 31 [19712/49812]	Loss: 0.5296	LR: 0.004000
Training Epoch: 31 [19776/49812]	Loss: 0.4478	LR: 0.004000
Training Epoch: 31 [19840/49812]	Loss: 0.6220	LR: 0.004000
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Training Epoch: 31 [20032/49812]	Loss: 0.5243	LR: 0.004000
Training Epoch: 31 [20096/49812]	Loss: 0.6118	LR: 0.004000
Training Epoch: 31 [20160/49812]	Loss: 0.4652	LR: 0.004000
Training Epoch: 31 [20224/49812]	Loss: 0.7010	LR: 0.004000
Training Epoch: 31 [20288/49812]	Loss: 0.5554	LR: 0.004000
Training Epoch: 31 [20352/49812]	Loss: 0.6039	LR: 0.004000
Training Epoch: 31 [20416/49812]	Loss: 0.6329	LR: 0.004000
Training Epoch: 31 [20480/49812]	Loss: 0.6714	LR: 0.004000
Training Epoch: 31 [20544/49812]	Loss: 0.5397	LR: 0.004000
Training Epoch: 31 [20608/49812]	Loss: 0.6644	LR: 0.004000
Training Epoch: 31 [20672/49812]	Loss: 0.4858	LR: 0.004000
Training Epoch: 31 [20736/49812]	Loss: 0.6086	LR: 0.004000
Training Epoch: 31 [20800/49812]	Loss: 0.4564	LR: 0.004000
Training Epoch: 31 [20864/49812]	Loss: 0.4543	LR: 0.004000
Training Epoch: 31 [20928/49812]	Loss: 0.4215	LR: 0.004000
Training Epoch: 31 [20992/49812]	Loss: 0.5325	LR: 0.004000
Training Epoch: 31 [21056/49812]	Loss: 0.4451	LR: 0.004000
Training Epoch: 31 [21120/49812]	Loss: 0.5432	LR: 0.004000
Training Epoch: 31 [21184/49812]	Loss: 0.6356	LR: 0.004000
Training Epoch: 31 [21248/49812]	Loss: 0.4856	LR: 0.004000
Training Epoch: 31 [21312/49812]	Loss: 0.6793	LR: 0.004000
Training Epoch: 31 [21376/49812]	Loss: 0.6352	LR: 0.004000
Training Epoch: 31 [21440/49812]	Loss: 0.5933	LR: 0.004000
Training Epoch: 31 [21504/49812]	Loss: 0.4446	LR: 0.004000
Training Epoch: 31 [21568/49812]	Loss: 0.4897	LR: 0.004000
Training Epoch: 31 [21632/49812]	Loss: 0.6679	LR: 0.004000
Training Epoch: 31 [21696/49812]	Loss: 0.4968	LR: 0.004000
Training Epoch: 31 [21760/49812]	Loss: 0.4700	LR: 0.004000
Training Epoch: 31 [21824/49812]	Loss: 0.4596	LR: 0.004000
Training Epoch: 31 [21888/49812]	Loss: 0.6020	LR: 0.004000
Training Epoch: 31 [21952/49812]	Loss: 0.4821	LR: 0.004000
Training Epoch: 31 [22016/49812]	Loss: 0.6011	LR: 0.004000
Training Epoch: 31 [22080/49812]	Loss: 0.5439	LR: 0.004000
Training Epoch: 31 [22144/49812]	Loss: 0.3278	LR: 0.004000
Training Epoch: 31 [22208/49812]	Loss: 0.6848	LR: 0.004000
Training Epoch: 31 [22272/49812]	Loss: 0.5792	LR: 0.004000
Training Epoch: 31 [22336/49812]	Loss: 0.6010	LR: 0.004000
Training Epoch: 31 [22400/49812]	Loss: 0.7424	LR: 0.004000
Training Epoch: 31 [22464/49812]	Loss: 0.3978	LR: 0.004000
Training Epoch: 31 [22528/49812]	Loss: 0.4028	LR: 0.004000
Training Epoch: 31 [22592/49812]	Loss: 0.3803	LR: 0.004000
Training Epoch: 31 [22656/49812]	Loss: 0.5991	LR: 0.004000
Training Epoch: 31 [22720/49812]	Loss: 0.8377	LR: 0.004000
Training Epoch: 31 [22784/49812]	Loss: 0.4762	LR: 0.004000
Training Epoch: 31 [22848/49812]	Loss: 0.5587	LR: 0.004000
Training Epoch: 31 [22912/49812]	Loss: 0.5902	LR: 0.004000
Training Epoch: 31 [22976/49812]	Loss: 0.7015	LR: 0.004000
Training Epoch: 31 [23040/49812]	Loss: 0.5586	LR: 0.004000
Training Epoch: 31 [23104/49812]	Loss: 0.8175	LR: 0.004000
Training Epoch: 31 [23168/49812]	Loss: 0.6064	LR: 0.004000
Training Epoch: 31 [23232/49812]	Loss: 0.4879	LR: 0.004000
Training Epoch: 31 [23296/49812]	Loss: 0.6255	LR: 0.004000
Training Epoch: 31 [23360/49812]	Loss: 0.7549	LR: 0.004000
Training Epoch: 31 [23424/49812]	Loss: 0.5140	LR: 0.004000
Training Epoch: 31 [23488/49812]	Loss: 0.5908	LR: 0.004000
Training Epoch: 31 [23552/49812]	Loss: 0.4810	LR: 0.004000
Training Epoch: 31 [23616/49812]	Loss: 0.9159	LR: 0.004000
Training Epoch: 31 [23680/49812]	Loss: 0.4980	LR: 0.004000
Training Epoch: 31 [23744/49812]	Loss: 0.3321	LR: 0.004000
Training Epoch: 31 [23808/49812]	Loss: 0.6057	LR: 0.004000
Training Epoch: 31 [23872/49812]	Loss: 0.6496	LR: 0.004000
Training Epoch: 31 [23936/49812]	Loss: 0.4747	LR: 0.004000
Training Epoch: 31 [24000/49812]	Loss: 0.7695	LR: 0.004000
Training Epoch: 31 [24064/49812]	Loss: 0.4926	LR: 0.004000
Training Epoch: 31 [24128/49812]	Loss: 0.7845	LR: 0.004000
Training Epoch: 31 [24192/49812]	Loss: 0.4937	LR: 0.004000
Training Epoch: 31 [24256/49812]	Loss: 0.5070	LR: 0.004000
Training Epoch: 31 [24320/49812]	Loss: 0.6191	LR: 0.004000
Training Epoch: 31 [24384/49812]	Loss: 0.3972	LR: 0.004000
Training Epoch: 31 [24448/49812]	Loss: 0.5019	LR: 0.004000
Training Epoch: 31 [24512/49812]	Loss: 0.4925	LR: 0.004000
Training Epoch: 31 [24576/49812]	Loss: 0.5930	LR: 0.004000
Training Epoch: 31 [24640/49812]	Loss: 0.5776	LR: 0.004000
Training Epoch: 31 [24704/49812]	Loss: 0.4580	LR: 0.004000
Training Epoch: 31 [24768/49812]	Loss: 0.7734	LR: 0.004000
Training Epoch: 31 [24832/49812]	Loss: 0.5888	LR: 0.004000
Training Epoch: 31 [24896/49812]	Loss: 0.4472	LR: 0.004000
Training Epoch: 31 [24960/49812]	Loss: 0.6176	LR: 0.004000
Training Epoch: 31 [25024/49812]	Loss: 0.5483	LR: 0.004000
Training Epoch: 31 [25088/49812]	Loss: 0.5822	LR: 0.004000
Training Epoch: 31 [25152/49812]	Loss: 0.6367	LR: 0.004000
Training Epoch: 31 [25216/49812]	Loss: 0.4992	LR: 0.004000
Training Epoch: 31 [25280/49812]	Loss: 0.5121	LR: 0.004000
Training Epoch: 31 [25344/49812]	Loss: 0.4716	LR: 0.004000
Training Epoch: 31 [25408/49812]	Loss: 0.4714	LR: 0.004000
Training Epoch: 31 [25472/49812]	Loss: 0.5425	LR: 0.004000
Training Epoch: 31 [25536/49812]	Loss: 0.6800	LR: 0.004000
Training Epoch: 31 [25600/49812]	Loss: 0.3956	LR: 0.004000
Training Epoch: 31 [25664/49812]	Loss: 0.6152	LR: 0.004000
Training Epoch: 31 [25728/49812]	Loss: 0.4469	LR: 0.004000
Training Epoch: 31 [25792/49812]	Loss: 0.5568	LR: 0.004000
Training Epoch: 31 [25856/49812]	Loss: 0.6444	LR: 0.004000
Training Epoch: 31 [25920/49812]	Loss: 0.5545	LR: 0.004000
Training Epoch: 31 [25984/49812]	Loss: 0.6048	LR: 0.004000
Training Epoch: 31 [26048/49812]	Loss: 0.4177	LR: 0.004000
Training Epoch: 31 [26112/49812]	Loss: 0.4517	LR: 0.004000
Training Epoch: 31 [26176/49812]	Loss: 0.3834	LR: 0.004000
Training Epoch: 31 [26240/49812]	Loss: 0.4478	LR: 0.004000
Training Epoch: 31 [26304/49812]	Loss: 0.4553	LR: 0.004000
Training Epoch: 31 [26368/49812]	Loss: 0.5855	LR: 0.004000
Training Epoch: 31 [26432/49812]	Loss: 0.3927	LR: 0.004000
Training Epoch: 31 [26496/49812]	Loss: 0.5186	LR: 0.004000
Training Epoch: 31 [26560/49812]	Loss: 0.3508	LR: 0.004000
Training Epoch: 31 [26624/49812]	Loss: 0.4612	LR: 0.004000
Training Epoch: 31 [26688/49812]	Loss: 0.4523	LR: 0.004000
Training Epoch: 31 [26752/49812]	Loss: 0.6826	LR: 0.004000
Training Epoch: 31 [26816/49812]	Loss: 0.4235	LR: 0.004000
Training Epoch: 31 [26880/49812]	Loss: 0.6798	LR: 0.004000
Training Epoch: 31 [26944/49812]	Loss: 0.4325	LR: 0.004000
Training Epoch: 31 [27008/49812]	Loss: 0.4911	LR: 0.004000
Training Epoch: 31 [27072/49812]	Loss: 0.6310	LR: 0.004000
Training Epoch: 31 [27136/49812]	Loss: 0.5568	LR: 0.004000
Training Epoch: 31 [27200/49812]	Loss: 0.6050	LR: 0.004000
Training Epoch: 31 [27264/49812]	Loss: 0.4115	LR: 0.004000
Training Epoch: 31 [27328/49812]	Loss: 0.3976	LR: 0.004000
Training Epoch: 31 [27392/49812]	Loss: 0.8517	LR: 0.004000
Training Epoch: 31 [27456/49812]	Loss: 0.6437	LR: 0.004000
Training Epoch: 31 [27520/49812]	Loss: 0.5651	LR: 0.004000
Training Epoch: 31 [27584/49812]	Loss: 0.5197	LR: 0.004000
Training Epoch: 31 [27648/49812]	Loss: 0.5138	LR: 0.004000
Training Epoch: 31 [27712/49812]	Loss: 0.6259	LR: 0.004000
Training Epoch: 31 [27776/49812]	Loss: 0.5592	LR: 0.004000
Training Epoch: 31 [27840/49812]	Loss: 0.5318	LR: 0.004000
Training Epoch: 31 [27904/49812]	Loss: 0.3567	LR: 0.004000
Training Epoch: 31 [27968/49812]	Loss: 0.4263	LR: 0.004000
Training Epoch: 31 [28032/49812]	Loss: 0.4032	LR: 0.004000
Training Epoch: 31 [28096/49812]	Loss: 0.3764	LR: 0.004000
Training Epoch: 31 [28160/49812]	Loss: 0.5800	LR: 0.004000
Training Epoch: 31 [28224/49812]	Loss: 0.6767	LR: 0.004000
Training Epoch: 31 [28288/49812]	Loss: 0.6449	LR: 0.004000
Training Epoch: 31 [28352/49812]	Loss: 0.4555	LR: 0.004000
Training Epoch: 31 [28416/49812]	Loss: 0.7605	LR: 0.004000
Training Epoch: 31 [28480/49812]	Loss: 0.4922	LR: 0.004000
Training Epoch: 31 [28544/49812]	Loss: 0.5441	LR: 0.004000
Training Epoch: 31 [28608/49812]	Loss: 0.5716	LR: 0.004000
Training Epoch: 31 [28672/49812]	Loss: 0.5034	LR: 0.004000
Training Epoch: 31 [28736/49812]	Loss: 0.3973	LR: 0.004000
Training Epoch: 31 [28800/49812]	Loss: 0.3386	LR: 0.004000
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Training Epoch: 31 [28928/49812]	Loss: 0.6198	LR: 0.004000
Training Epoch: 31 [28992/49812]	Loss: 0.5937	LR: 0.004000
Training Epoch: 31 [29056/49812]	Loss: 0.4188	LR: 0.004000
Training Epoch: 31 [29120/49812]	Loss: 0.4957	LR: 0.004000
Training Epoch: 31 [29184/49812]	Loss: 0.4022	LR: 0.004000
Training Epoch: 31 [29248/49812]	Loss: 0.4897	LR: 0.004000
Training Epoch: 31 [29312/49812]	Loss: 0.4967	LR: 0.004000
Training Epoch: 31 [29376/49812]	Loss: 0.5698	LR: 0.004000
Training Epoch: 31 [29440/49812]	Loss: 0.5463	LR: 0.004000
Training Epoch: 31 [29504/49812]	Loss: 0.3905	LR: 0.004000
Training Epoch: 31 [29568/49812]	Loss: 0.3506	LR: 0.004000
Training Epoch: 31 [29632/49812]	Loss: 0.4039	LR: 0.004000
Training Epoch: 31 [29696/49812]	Loss: 0.5610	LR: 0.004000
Training Epoch: 31 [29760/49812]	Loss: 0.5437	LR: 0.004000
Training Epoch: 31 [29824/49812]	Loss: 0.5234	LR: 0.004000
Training Epoch: 31 [29888/49812]	Loss: 0.5891	LR: 0.004000
Training Epoch: 31 [29952/49812]	Loss: 0.6917	LR: 0.004000
Training Epoch: 31 [30016/49812]	Loss: 0.4577	LR: 0.004000
Training Epoch: 31 [30080/49812]	Loss: 0.5525	LR: 0.004000
Training Epoch: 31 [30144/49812]	Loss: 0.2995	LR: 0.004000
Training Epoch: 31 [30208/49812]	Loss: 0.3703	LR: 0.004000
Training Epoch: 31 [30272/49812]	Loss: 0.4758	LR: 0.004000
Training Epoch: 31 [30336/49812]	Loss: 0.6885	LR: 0.004000
Training Epoch: 31 [30400/49812]	Loss: 0.4844	LR: 0.004000
Training Epoch: 31 [30464/49812]	Loss: 0.5754	LR: 0.004000
Training Epoch: 31 [30528/49812]	Loss: 0.4808	LR: 0.004000
Training Epoch: 31 [30592/49812]	Loss: 0.7797	LR: 0.004000
Training Epoch: 31 [30656/49812]	Loss: 0.5723	LR: 0.004000
Training Epoch: 31 [30720/49812]	Loss: 0.7203	LR: 0.004000
Training Epoch: 31 [30784/49812]	Loss: 0.8266	LR: 0.004000
Training Epoch: 31 [30848/49812]	Loss: 0.5326	LR: 0.004000
Training Epoch: 31 [30912/49812]	Loss: 0.6005	LR: 0.004000
Training Epoch: 31 [30976/49812]	Loss: 0.6444	LR: 0.004000
Training Epoch: 31 [31040/49812]	Loss: 0.6201	LR: 0.004000
Training Epoch: 31 [31104/49812]	Loss: 0.5419	LR: 0.004000
Training Epoch: 31 [31168/49812]	Loss: 0.6021	LR: 0.004000
Training Epoch: 31 [31232/49812]	Loss: 0.5493	LR: 0.004000
Training Epoch: 31 [31296/49812]	Loss: 0.4669	LR: 0.004000
Training Epoch: 31 [31360/49812]	Loss: 0.5862	LR: 0.004000
Training Epoch: 31 [31424/49812]	Loss: 0.5958	LR: 0.004000
Training Epoch: 31 [31488/49812]	Loss: 0.6269	LR: 0.004000
Training Epoch: 31 [31552/49812]	Loss: 0.5723	LR: 0.004000
Training Epoch: 31 [31616/49812]	Loss: 0.4991	LR: 0.004000
Training Epoch: 31 [31680/49812]	Loss: 0.6758	LR: 0.004000
Training Epoch: 31 [31744/49812]	Loss: 0.4558	LR: 0.004000
Training Epoch: 31 [31808/49812]	Loss: 0.6806	LR: 0.004000
Training Epoch: 31 [31872/49812]	Loss: 0.4610	LR: 0.004000
Training Epoch: 31 [31936/49812]	Loss: 0.4178	LR: 0.004000
Training Epoch: 31 [32000/49812]	Loss: 0.4009	LR: 0.004000
Training Epoch: 31 [32064/49812]	Loss: 0.4410	LR: 0.004000
Training Epoch: 31 [32128/49812]	Loss: 0.7106	LR: 0.004000
Training Epoch: 31 [32192/49812]	Loss: 0.4382	LR: 0.004000
Training Epoch: 31 [32256/49812]	Loss: 0.7207	LR: 0.004000
Training Epoch: 31 [32320/49812]	Loss: 0.6197	LR: 0.004000
Training Epoch: 31 [32384/49812]	Loss: 0.5784	LR: 0.004000
Training Epoch: 31 [32448/49812]	Loss: 0.4658	LR: 0.004000
Training Epoch: 31 [32512/49812]	Loss: 0.5160	LR: 0.004000
Training Epoch: 31 [32576/49812]	Loss: 0.7447	LR: 0.004000
Training Epoch: 31 [32640/49812]	Loss: 0.5115	LR: 0.004000
Training Epoch: 31 [32704/49812]	Loss: 0.4357	LR: 0.004000
Training Epoch: 31 [32768/49812]	Loss: 0.5114	LR: 0.004000
Training Epoch: 31 [32832/49812]	Loss: 0.5749	LR: 0.004000
Training Epoch: 31 [32896/49812]	Loss: 0.4585	LR: 0.004000
Training Epoch: 31 [32960/49812]	Loss: 0.4436	LR: 0.004000
Training Epoch: 31 [33024/49812]	Loss: 0.5291	LR: 0.004000
Training Epoch: 31 [33088/49812]	Loss: 0.6051	LR: 0.004000
Training Epoch: 31 [33152/49812]	Loss: 0.5141	LR: 0.004000
Training Epoch: 31 [33216/49812]	Loss: 0.6843	LR: 0.004000
Training Epoch: 31 [33280/49812]	Loss: 0.4653	LR: 0.004000
Training Epoch: 31 [33344/49812]	Loss: 0.4285	LR: 0.004000
Training Epoch: 31 [33408/49812]	Loss: 0.4358	LR: 0.004000
Training Epoch: 31 [33472/49812]	Loss: 0.5156	LR: 0.004000
Training Epoch: 31 [33536/49812]	Loss: 0.4421	LR: 0.004000
Training Epoch: 31 [33600/49812]	Loss: 0.6174	LR: 0.004000
Training Epoch: 31 [33664/49812]	Loss: 0.7536	LR: 0.004000
Training Epoch: 31 [33728/49812]	Loss: 0.5399	LR: 0.004000
Training Epoch: 31 [33792/49812]	Loss: 0.4472	LR: 0.004000
Training Epoch: 31 [33856/49812]	Loss: 0.7594	LR: 0.004000
Training Epoch: 31 [33920/49812]	Loss: 0.5621	LR: 0.004000
Training Epoch: 31 [33984/49812]	Loss: 0.6681	LR: 0.004000
Training Epoch: 31 [34048/49812]	Loss: 0.4445	LR: 0.004000
Training Epoch: 31 [34112/49812]	Loss: 0.5562	LR: 0.004000
Training Epoch: 31 [34176/49812]	Loss: 0.5685	LR: 0.004000
Training Epoch: 31 [34240/49812]	Loss: 0.5627	LR: 0.004000
Training Epoch: 31 [34304/49812]	Loss: 0.5093	LR: 0.004000
Training Epoch: 31 [34368/49812]	Loss: 0.7346	LR: 0.004000
Training Epoch: 31 [34432/49812]	Loss: 0.5713	LR: 0.004000
Training Epoch: 31 [34496/49812]	Loss: 0.5022	LR: 0.004000
Training Epoch: 31 [34560/49812]	Loss: 0.5471	LR: 0.004000
Training Epoch: 31 [34624/49812]	Loss: 0.6561	LR: 0.004000
Training Epoch: 31 [34688/49812]	Loss: 0.4189	LR: 0.004000
Training Epoch: 31 [34752/49812]	Loss: 0.5108	LR: 0.004000
Training Epoch: 31 [34816/49812]	Loss: 0.4287	LR: 0.004000
Training Epoch: 31 [34880/49812]	Loss: 0.4695	LR: 0.004000
Training Epoch: 31 [34944/49812]	Loss: 0.4256	LR: 0.004000
Training Epoch: 31 [35008/49812]	Loss: 0.5950	LR: 0.004000
Training Epoch: 31 [35072/49812]	Loss: 0.5535	LR: 0.004000
Training Epoch: 31 [35136/49812]	Loss: 0.5068	LR: 0.004000
Training Epoch: 31 [35200/49812]	Loss: 0.3845	LR: 0.004000
Training Epoch: 31 [35264/49812]	Loss: 0.4976	LR: 0.004000
Training Epoch: 31 [35328/49812]	Loss: 0.4223	LR: 0.004000
Training Epoch: 31 [35392/49812]	Loss: 0.6467	LR: 0.004000
Training Epoch: 31 [35456/49812]	Loss: 0.4625	LR: 0.004000
Training Epoch: 31 [35520/49812]	Loss: 0.4994	LR: 0.004000
Training Epoch: 31 [35584/49812]	Loss: 0.3700	LR: 0.004000
Training Epoch: 31 [35648/49812]	Loss: 0.3882	LR: 0.004000
Training Epoch: 31 [35712/49812]	Loss: 0.6107	LR: 0.004000
Training Epoch: 31 [35776/49812]	Loss: 0.4216	LR: 0.004000
Training Epoch: 31 [35840/49812]	Loss: 0.6980	LR: 0.004000
Training Epoch: 31 [35904/49812]	Loss: 0.6018	LR: 0.004000
Training Epoch: 31 [35968/49812]	Loss: 0.8144	LR: 0.004000
Training Epoch: 31 [36032/49812]	Loss: 0.4855	LR: 0.004000
Training Epoch: 31 [36096/49812]	Loss: 0.6858	LR: 0.004000
Training Epoch: 31 [36160/49812]	Loss: 0.4641	LR: 0.004000
Training Epoch: 31 [36224/49812]	Loss: 0.5817	LR: 0.004000
Training Epoch: 31 [36288/49812]	Loss: 0.3264	LR: 0.004000
Training Epoch: 31 [36352/49812]	Loss: 0.5273	LR: 0.004000
Training Epoch: 31 [36416/49812]	Loss: 0.5735	LR: 0.004000
Training Epoch: 31 [36480/49812]	Loss: 0.4182	LR: 0.004000
Training Epoch: 31 [36544/49812]	Loss: 0.4619	LR: 0.004000
Training Epoch: 31 [36608/49812]	Loss: 0.5638	LR: 0.004000
Training Epoch: 31 [36672/49812]	Loss: 0.4848	LR: 0.004000
Training Epoch: 31 [36736/49812]	Loss: 0.5809	LR: 0.004000
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Training Epoch: 31 [36864/49812]	Loss: 0.4419	LR: 0.004000
Training Epoch: 31 [36928/49812]	Loss: 0.6721	LR: 0.004000
Training Epoch: 31 [36992/49812]	Loss: 0.5902	LR: 0.004000
Training Epoch: 31 [37056/49812]	Loss: 0.5244	LR: 0.004000
Training Epoch: 31 [37120/49812]	Loss: 0.4127	LR: 0.004000
Training Epoch: 31 [37184/49812]	Loss: 0.4424	LR: 0.004000
Training Epoch: 31 [37248/49812]	Loss: 0.6451	LR: 0.004000
Training Epoch: 31 [37312/49812]	Loss: 0.5275	LR: 0.004000
Training Epoch: 31 [37376/49812]	Loss: 0.5425	LR: 0.004000
Training Epoch: 31 [37440/49812]	Loss: 0.5150	LR: 0.004000
Training Epoch: 31 [37504/49812]	Loss: 0.5715	LR: 0.004000
Training Epoch: 31 [37568/49812]	Loss: 0.4573	LR: 0.004000
Training Epoch: 31 [37632/49812]	Loss: 0.4856	LR: 0.004000
Training Epoch: 31 [37696/49812]	Loss: 0.5305	LR: 0.004000
Training Epoch: 31 [37760/49812]	Loss: 0.5717	LR: 0.004000
Training Epoch: 31 [37824/49812]	Loss: 0.5175	LR: 0.004000
Training Epoch: 31 [37888/49812]	Loss: 0.5164	LR: 0.004000
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Training Epoch: 31 [38208/49812]	Loss: 0.6958	LR: 0.004000
Training Epoch: 31 [38272/49812]	Loss: 0.7064	LR: 0.004000
Training Epoch: 31 [38336/49812]	Loss: 0.6783	LR: 0.004000
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Training Epoch: 31 [38656/49812]	Loss: 0.5956	LR: 0.004000
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Training Epoch: 31 [38784/49812]	Loss: 0.5472	LR: 0.004000
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Training Epoch: 31 [39104/49812]	Loss: 0.5915	LR: 0.004000
Training Epoch: 31 [39168/49812]	Loss: 0.3197	LR: 0.004000
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Training Epoch: 31 [39488/49812]	Loss: 0.4484	LR: 0.004000
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Training Epoch: 31 [39808/49812]	Loss: 0.5471	LR: 0.004000
Training Epoch: 31 [39872/49812]	Loss: 0.5559	LR: 0.004000
Training Epoch: 31 [39936/49812]	Loss: 0.4615	LR: 0.004000
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Training Epoch: 31 [40064/49812]	Loss: 0.5854	LR: 0.004000
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Training Epoch: 31 [40256/49812]	Loss: 0.4319	LR: 0.004000
Training Epoch: 31 [40320/49812]	Loss: 0.5199	LR: 0.004000
Training Epoch: 31 [40384/49812]	Loss: 0.5955	LR: 0.004000
Training Epoch: 31 [40448/49812]	Loss: 0.4671	LR: 0.004000
Training Epoch: 31 [40512/49812]	Loss: 0.3552	LR: 0.004000
Training Epoch: 31 [40576/49812]	Loss: 0.5036	LR: 0.004000
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Training Epoch: 31 [40896/49812]	Loss: 0.7131	LR: 0.004000
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Training Epoch: 31 [41024/49812]	Loss: 0.8024	LR: 0.004000
Training Epoch: 31 [41088/49812]	Loss: 0.4556	LR: 0.004000
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Training Epoch: 31 [41920/49812]	Loss: 0.5123	LR: 0.004000
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Training Epoch: 31 [42048/49812]	Loss: 0.4849	LR: 0.004000
Training Epoch: 31 [42112/49812]	Loss: 0.5360	LR: 0.004000
Training Epoch: 31 [42176/49812]	Loss: 0.4614	LR: 0.004000
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Training Epoch: 31 [42304/49812]	Loss: 0.4668	LR: 0.004000
Training Epoch: 31 [42368/49812]	Loss: 0.4028	LR: 0.004000
Training Epoch: 31 [42432/49812]	Loss: 0.5573	LR: 0.004000
Training Epoch: 31 [42496/49812]	Loss: 0.4829	LR: 0.004000
Training Epoch: 31 [42560/49812]	Loss: 0.4581	LR: 0.004000
Training Epoch: 31 [42624/49812]	Loss: 0.5482	LR: 0.004000
Training Epoch: 31 [42688/49812]	Loss: 0.4741	LR: 0.004000
Training Epoch: 31 [42752/49812]	Loss: 0.5950	LR: 0.004000
Training Epoch: 31 [42816/49812]	Loss: 0.4879	LR: 0.004000
Training Epoch: 31 [42880/49812]	Loss: 0.5786	LR: 0.004000
Training Epoch: 31 [42944/49812]	Loss: 0.2602	LR: 0.004000
Training Epoch: 31 [43008/49812]	Loss: 0.4445	LR: 0.004000
Training Epoch: 31 [43072/49812]	Loss: 0.3734	LR: 0.004000
Training Epoch: 31 [43136/49812]	Loss: 0.6546	LR: 0.004000
Training Epoch: 31 [43200/49812]	Loss: 0.5318	LR: 0.004000
Training Epoch: 31 [43264/49812]	Loss: 0.3388	LR: 0.004000
Training Epoch: 31 [43328/49812]	Loss: 0.6914	LR: 0.004000
Training Epoch: 31 [43392/49812]	Loss: 0.6169	LR: 0.004000
Training Epoch: 31 [43456/49812]	Loss: 0.5033	LR: 0.004000
Training Epoch: 31 [43520/49812]	Loss: 0.6530	LR: 0.004000
Training Epoch: 31 [43584/49812]	Loss: 0.5667	LR: 0.004000
Training Epoch: 31 [43648/49812]	Loss: 0.5700	LR: 0.004000
Training Epoch: 31 [43712/49812]	Loss: 0.5168	LR: 0.004000
Training Epoch: 31 [43776/49812]	Loss: 0.3704	LR: 0.004000
Training Epoch: 31 [43840/49812]	Loss: 0.7338	LR: 0.004000
Training Epoch: 31 [43904/49812]	Loss: 0.4688	LR: 0.004000
Training Epoch: 31 [43968/49812]	Loss: 0.4622	LR: 0.004000
Training Epoch: 31 [44032/49812]	Loss: 0.4568	LR: 0.004000
Training Epoch: 31 [44096/49812]	Loss: 0.7599	LR: 0.004000
Training Epoch: 31 [44160/49812]	Loss: 0.7000	LR: 0.004000
Training Epoch: 31 [44224/49812]	Loss: 0.6611	LR: 0.004000
Training Epoch: 31 [44288/49812]	Loss: 0.4724	LR: 0.004000
Training Epoch: 31 [44352/49812]	Loss: 0.5060	LR: 0.004000
Training Epoch: 31 [44416/49812]	Loss: 0.5873	LR: 0.004000
Training Epoch: 31 [44480/49812]	Loss: 0.5695	LR: 0.004000
Training Epoch: 31 [44544/49812]	Loss: 0.4390	LR: 0.004000
Training Epoch: 31 [44608/49812]	Loss: 0.5841	LR: 0.004000
Training Epoch: 31 [44672/49812]	Loss: 0.5543	LR: 0.004000
Training Epoch: 31 [44736/49812]	Loss: 0.4138	LR: 0.004000
Training Epoch: 31 [44800/49812]	Loss: 0.6746	LR: 0.004000
Training Epoch: 31 [44864/49812]	Loss: 0.5369	LR: 0.004000
Training Epoch: 31 [44928/49812]	Loss: 0.7532	LR: 0.004000
Training Epoch: 31 [44992/49812]	Loss: 0.6612	LR: 0.004000
Training Epoch: 31 [45056/49812]	Loss: 0.5128	LR: 0.004000
Training Epoch: 31 [45120/49812]	Loss: 0.5095	LR: 0.004000
Training Epoch: 31 [45184/49812]	Loss: 0.5874	LR: 0.004000
Training Epoch: 31 [45248/49812]	Loss: 0.4697	LR: 0.004000
Training Epoch: 31 [45312/49812]	Loss: 0.6231	LR: 0.004000
Training Epoch: 31 [45376/49812]	Loss: 0.4874	LR: 0.004000
Training Epoch: 31 [45440/49812]	Loss: 0.6714	LR: 0.004000
Training Epoch: 31 [45504/49812]	Loss: 0.5787	LR: 0.004000
Training Epoch: 31 [45568/49812]	Loss: 0.4300	LR: 0.004000
Training Epoch: 31 [45632/49812]	Loss: 0.6406	LR: 0.004000
Training Epoch: 31 [45696/49812]	Loss: 0.4392	LR: 0.004000
Training Epoch: 31 [45760/49812]	Loss: 0.3851	LR: 0.004000
Training Epoch: 31 [45824/49812]	Loss: 0.5383	LR: 0.004000
Training Epoch: 31 [45888/49812]	Loss: 0.3044	LR: 0.004000
Training Epoch: 31 [45952/49812]	Loss: 0.5760	LR: 0.004000
Training Epoch: 31 [46016/49812]	Loss: 0.4770	LR: 0.004000
Training Epoch: 31 [46080/49812]	Loss: 0.6088	LR: 0.004000
Training Epoch: 31 [46144/49812]	Loss: 0.7702	LR: 0.004000
Training Epoch: 31 [46208/49812]	Loss: 0.6230	LR: 0.004000
Training Epoch: 31 [46272/49812]	Loss: 0.6210	LR: 0.004000
Training Epoch: 31 [46336/49812]	Loss: 0.4006	LR: 0.004000
Training Epoch: 31 [46400/49812]	Loss: 0.5759	LR: 0.004000
Training Epoch: 31 [46464/49812]	Loss: 0.5131	LR: 0.004000
Training Epoch: 31 [46528/49812]	Loss: 0.3409	LR: 0.004000
Training Epoch: 31 [46592/49812]	Loss: 0.6676	LR: 0.004000
Training Epoch: 31 [46656/49812]	Loss: 0.4961	LR: 0.004000
Training Epoch: 31 [46720/49812]	Loss: 0.6068	LR: 0.004000
Training Epoch: 31 [46784/49812]	Loss: 0.6164	LR: 0.004000
Training Epoch: 31 [46848/49812]	Loss: 0.6995	LR: 0.004000
Training Epoch: 31 [46912/49812]	Loss: 0.6495	LR: 0.004000
Training Epoch: 31 [46976/49812]	Loss: 0.4874	LR: 0.004000
Training Epoch: 31 [47040/49812]	Loss: 0.5248	LR: 0.004000
Training Epoch: 31 [47104/49812]	Loss: 0.5294	LR: 0.004000
Training Epoch: 31 [47168/49812]	Loss: 0.6870	LR: 0.004000
Training Epoch: 31 [47232/49812]	Loss: 0.4962	LR: 0.004000
Training Epoch: 31 [47296/49812]	Loss: 0.4161	LR: 0.004000
Training Epoch: 31 [47360/49812]	Loss: 0.5116	LR: 0.004000
Training Epoch: 31 [47424/49812]	Loss: 0.5664	LR: 0.004000
Training Epoch: 31 [47488/49812]	Loss: 0.4056	LR: 0.004000
Training Epoch: 31 [47552/49812]	Loss: 0.4261	LR: 0.004000
Training Epoch: 31 [47616/49812]	Loss: 0.4351	LR: 0.004000
Training Epoch: 31 [47680/49812]	Loss: 0.4916	LR: 0.004000
Training Epoch: 31 [47744/49812]	Loss: 0.5569	LR: 0.004000
Training Epoch: 31 [47808/49812]	Loss: 0.4164	LR: 0.004000
Training Epoch: 31 [47872/49812]	Loss: 0.7872	LR: 0.004000
Training Epoch: 31 [47936/49812]	Loss: 0.4724	LR: 0.004000
Training Epoch: 31 [48000/49812]	Loss: 0.5241	LR: 0.004000
Training Epoch: 31 [48064/49812]	Loss: 0.4437	LR: 0.004000
Training Epoch: 31 [48128/49812]	Loss: 0.5696	LR: 0.004000
Training Epoch: 31 [48192/49812]	Loss: 0.5656	LR: 0.004000
Training Epoch: 31 [48256/49812]	Loss: 0.6332	LR: 0.004000
Training Epoch: 31 [48320/49812]	Loss: 0.5989	LR: 0.004000
Training Epoch: 31 [48384/49812]	Loss: 0.4610	LR: 0.004000
Training Epoch: 31 [48448/49812]	Loss: 0.6166	LR: 0.004000
Training Epoch: 31 [48512/49812]	Loss: 0.6481	LR: 0.004000
Training Epoch: 31 [48576/49812]	Loss: 0.5846	LR: 0.004000
Training Epoch: 31 [48640/49812]	Loss: 0.2771	LR: 0.004000
Training Epoch: 31 [48704/49812]	Loss: 0.5204	LR: 0.004000
Training Epoch: 31 [48768/49812]	Loss: 0.5846	LR: 0.004000
Training Epoch: 31 [48832/49812]	Loss: 0.4140	LR: 0.004000
Training Epoch: 31 [48896/49812]	Loss: 0.4169	LR: 0.004000
Training Epoch: 31 [48960/49812]	Loss: 0.4173	LR: 0.004000
Training Epoch: 31 [49024/49812]	Loss: 0.5842	LR: 0.004000
Training Epoch: 31 [49088/49812]	Loss: 0.4562	LR: 0.004000
Training Epoch: 31 [49152/49812]	Loss: 0.4143	LR: 0.004000
Training Epoch: 31 [49216/49812]	Loss: 0.5097	LR: 0.004000
Training Epoch: 31 [49280/49812]	Loss: 0.6672	LR: 0.004000
Training Epoch: 31 [49344/49812]	Loss: 0.4368	LR: 0.004000
Training Epoch: 31 [49408/49812]	Loss: 0.7328	LR: 0.004000
Training Epoch: 31 [49472/49812]	Loss: 0.6168	LR: 0.004000
Training Epoch: 31 [49536/49812]	Loss: 0.4233	LR: 0.004000
Training Epoch: 31 [49600/49812]	Loss: 0.5690	LR: 0.004000
Training Epoch: 31 [49664/49812]	Loss: 0.5690	LR: 0.004000
Training Epoch: 31 [49728/49812]	Loss: 0.4074	LR: 0.004000
Training Epoch: 31 [49792/49812]	Loss: 0.4908	LR: 0.004000
Training Epoch: 31 [49812/49812]	Loss: 0.8232	LR: 0.004000
Epoch 31 - Average Train Loss: 0.5382, Train Accuracy: 0.8306
Epoch 31 training time consumed: 262.22s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0109, Accuracy: 0.7832, Time consumed:17.05s
Training Epoch: 32 [64/49812]	Loss: 0.3699	LR: 0.004000
Training Epoch: 32 [128/49812]	Loss: 0.4068	LR: 0.004000
Training Epoch: 32 [192/49812]	Loss: 0.5149	LR: 0.004000
Training Epoch: 32 [256/49812]	Loss: 0.5537	LR: 0.004000
Training Epoch: 32 [320/49812]	Loss: 0.3402	LR: 0.004000
Training Epoch: 32 [384/49812]	Loss: 0.5945	LR: 0.004000
Training Epoch: 32 [448/49812]	Loss: 0.2654	LR: 0.004000
Training Epoch: 32 [512/49812]	Loss: 0.6476	LR: 0.004000
Training Epoch: 32 [576/49812]	Loss: 0.4301	LR: 0.004000
Training Epoch: 32 [640/49812]	Loss: 0.5377	LR: 0.004000
Training Epoch: 32 [704/49812]	Loss: 0.4683	LR: 0.004000
Training Epoch: 32 [768/49812]	Loss: 0.4193	LR: 0.004000
Training Epoch: 32 [832/49812]	Loss: 0.5706	LR: 0.004000
Training Epoch: 32 [896/49812]	Loss: 0.3351	LR: 0.004000
Training Epoch: 32 [960/49812]	Loss: 0.5893	LR: 0.004000
Training Epoch: 32 [1024/49812]	Loss: 0.5434	LR: 0.004000
Training Epoch: 32 [1088/49812]	Loss: 0.5704	LR: 0.004000
Training Epoch: 32 [1152/49812]	Loss: 0.4218	LR: 0.004000
Training Epoch: 32 [1216/49812]	Loss: 0.3849	LR: 0.004000
Training Epoch: 32 [1280/49812]	Loss: 0.5142	LR: 0.004000
Training Epoch: 32 [1344/49812]	Loss: 0.3981	LR: 0.004000
Training Epoch: 32 [1408/49812]	Loss: 0.6296	LR: 0.004000
Training Epoch: 32 [1472/49812]	Loss: 0.4027	LR: 0.004000
Training Epoch: 32 [1536/49812]	Loss: 0.4427	LR: 0.004000
Training Epoch: 32 [1600/49812]	Loss: 0.7896	LR: 0.004000
Training Epoch: 32 [1664/49812]	Loss: 0.4859	LR: 0.004000
Training Epoch: 32 [1728/49812]	Loss: 0.4888	LR: 0.004000
Training Epoch: 32 [1792/49812]	Loss: 0.4298	LR: 0.004000
Training Epoch: 32 [1856/49812]	Loss: 0.3418	LR: 0.004000
Training Epoch: 32 [1920/49812]	Loss: 0.4300	LR: 0.004000
Training Epoch: 32 [1984/49812]	Loss: 0.4119	LR: 0.004000
Training Epoch: 32 [2048/49812]	Loss: 0.4868	LR: 0.004000
Training Epoch: 32 [2112/49812]	Loss: 0.5512	LR: 0.004000
Training Epoch: 32 [2176/49812]	Loss: 0.7823	LR: 0.004000
Training Epoch: 32 [2240/49812]	Loss: 0.5924	LR: 0.004000
Training Epoch: 32 [2304/49812]	Loss: 0.4547	LR: 0.004000
Training Epoch: 32 [2368/49812]	Loss: 0.5170	LR: 0.004000
Training Epoch: 32 [2432/49812]	Loss: 0.4377	LR: 0.004000
Training Epoch: 32 [2496/49812]	Loss: 0.3798	LR: 0.004000
Training Epoch: 32 [2560/49812]	Loss: 0.6490	LR: 0.004000
Training Epoch: 32 [2624/49812]	Loss: 0.4653	LR: 0.004000
Training Epoch: 32 [2688/49812]	Loss: 0.4936	LR: 0.004000
Training Epoch: 32 [2752/49812]	Loss: 0.3815	LR: 0.004000
Training Epoch: 32 [2816/49812]	Loss: 0.4346	LR: 0.004000
Training Epoch: 32 [2880/49812]	Loss: 0.5572	LR: 0.004000
Training Epoch: 32 [2944/49812]	Loss: 0.5277	LR: 0.004000
Training Epoch: 32 [3008/49812]	Loss: 0.4593	LR: 0.004000
Training Epoch: 32 [3072/49812]	Loss: 0.4224	LR: 0.004000
Training Epoch: 32 [3136/49812]	Loss: 0.4367	LR: 0.004000
Training Epoch: 32 [3200/49812]	Loss: 0.5573	LR: 0.004000
Training Epoch: 32 [3264/49812]	Loss: 0.4503	LR: 0.004000
Training Epoch: 32 [3328/49812]	Loss: 0.3839	LR: 0.004000
Training Epoch: 32 [3392/49812]	Loss: 0.4519	LR: 0.004000
Training Epoch: 32 [3456/49812]	Loss: 0.5407	LR: 0.004000
Training Epoch: 32 [3520/49812]	Loss: 0.5760	LR: 0.004000
Training Epoch: 32 [3584/49812]	Loss: 0.4665	LR: 0.004000
Training Epoch: 32 [3648/49812]	Loss: 0.5414	LR: 0.004000
Training Epoch: 32 [3712/49812]	Loss: 0.5892	LR: 0.004000
Training Epoch: 32 [3776/49812]	Loss: 0.5969	LR: 0.004000
Training Epoch: 32 [3840/49812]	Loss: 0.5105	LR: 0.004000
Training Epoch: 32 [3904/49812]	Loss: 0.3860	LR: 0.004000
Training Epoch: 32 [3968/49812]	Loss: 0.4815	LR: 0.004000
Training Epoch: 32 [4032/49812]	Loss: 0.4909	LR: 0.004000
Training Epoch: 32 [4096/49812]	Loss: 0.4517	LR: 0.004000
Training Epoch: 32 [4160/49812]	Loss: 0.4727	LR: 0.004000
Training Epoch: 32 [4224/49812]	Loss: 0.6213	LR: 0.004000
Training Epoch: 32 [4288/49812]	Loss: 0.6212	LR: 0.004000
Training Epoch: 32 [4352/49812]	Loss: 0.4993	LR: 0.004000
Training Epoch: 32 [4416/49812]	Loss: 0.6097	LR: 0.004000
Training Epoch: 32 [4480/49812]	Loss: 0.4510	LR: 0.004000
Training Epoch: 32 [4544/49812]	Loss: 0.6024	LR: 0.004000
Training Epoch: 32 [4608/49812]	Loss: 0.5734	LR: 0.004000
Training Epoch: 32 [4672/49812]	Loss: 0.5558	LR: 0.004000
Training Epoch: 32 [4736/49812]	Loss: 0.4463	LR: 0.004000
Training Epoch: 32 [4800/49812]	Loss: 0.3900	LR: 0.004000
Training Epoch: 32 [4864/49812]	Loss: 0.3375	LR: 0.004000
Training Epoch: 32 [4928/49812]	Loss: 0.3731	LR: 0.004000
Training Epoch: 32 [4992/49812]	Loss: 0.5339	LR: 0.004000
Training Epoch: 32 [5056/49812]	Loss: 0.4843	LR: 0.004000
Training Epoch: 32 [5120/49812]	Loss: 0.5102	LR: 0.004000
Training Epoch: 32 [5184/49812]	Loss: 0.4174	LR: 0.004000
Training Epoch: 32 [5248/49812]	Loss: 0.3239	LR: 0.004000
Training Epoch: 32 [5312/49812]	Loss: 0.4453	LR: 0.004000
Training Epoch: 32 [5376/49812]	Loss: 0.4747	LR: 0.004000
Training Epoch: 32 [5440/49812]	Loss: 0.6367	LR: 0.004000
Training Epoch: 32 [5504/49812]	Loss: 0.6915	LR: 0.004000
Training Epoch: 32 [5568/49812]	Loss: 0.7213	LR: 0.004000
Training Epoch: 32 [5632/49812]	Loss: 0.5890	LR: 0.004000
Training Epoch: 32 [5696/49812]	Loss: 0.3046	LR: 0.004000
Training Epoch: 32 [5760/49812]	Loss: 0.6233	LR: 0.004000
Training Epoch: 32 [5824/49812]	Loss: 0.4961	LR: 0.004000
Training Epoch: 32 [5888/49812]	Loss: 0.6143	LR: 0.004000
Training Epoch: 32 [5952/49812]	Loss: 0.6679	LR: 0.004000
Training Epoch: 32 [6016/49812]	Loss: 0.6282	LR: 0.004000
Training Epoch: 32 [6080/49812]	Loss: 0.4682	LR: 0.004000
Training Epoch: 32 [6144/49812]	Loss: 0.2106	LR: 0.004000
Training Epoch: 32 [6208/49812]	Loss: 0.4173	LR: 0.004000
Training Epoch: 32 [6272/49812]	Loss: 0.4191	LR: 0.004000
Training Epoch: 32 [6336/49812]	Loss: 0.4158	LR: 0.004000
Training Epoch: 32 [6400/49812]	Loss: 0.4948	LR: 0.004000
Training Epoch: 32 [6464/49812]	Loss: 0.4596	LR: 0.004000
Training Epoch: 32 [6528/49812]	Loss: 0.4886	LR: 0.004000
Training Epoch: 32 [6592/49812]	Loss: 0.3947	LR: 0.004000
Training Epoch: 32 [6656/49812]	Loss: 0.5974	LR: 0.004000
Training Epoch: 32 [6720/49812]	Loss: 0.5204	LR: 0.004000
Training Epoch: 32 [6784/49812]	Loss: 0.4880	LR: 0.004000
Training Epoch: 32 [6848/49812]	Loss: 0.6082	LR: 0.004000
Training Epoch: 32 [6912/49812]	Loss: 0.4472	LR: 0.004000
Training Epoch: 32 [6976/49812]	Loss: 0.5423	LR: 0.004000
Training Epoch: 32 [7040/49812]	Loss: 0.3757	LR: 0.004000
Training Epoch: 32 [7104/49812]	Loss: 0.5403	LR: 0.004000
Training Epoch: 32 [7168/49812]	Loss: 0.4011	LR: 0.004000
Training Epoch: 32 [7232/49812]	Loss: 0.4742	LR: 0.004000
Training Epoch: 32 [7296/49812]	Loss: 0.2821	LR: 0.004000
Training Epoch: 32 [7360/49812]	Loss: 0.6115	LR: 0.004000
Training Epoch: 32 [7424/49812]	Loss: 0.6034	LR: 0.004000
Training Epoch: 32 [7488/49812]	Loss: 0.5832	LR: 0.004000
Training Epoch: 32 [7552/49812]	Loss: 0.4997	LR: 0.004000
Training Epoch: 32 [7616/49812]	Loss: 0.5812	LR: 0.004000
Training Epoch: 32 [7680/49812]	Loss: 0.4494	LR: 0.004000
Training Epoch: 32 [7744/49812]	Loss: 0.5311	LR: 0.004000
Training Epoch: 32 [7808/49812]	Loss: 0.4828	LR: 0.004000
Training Epoch: 32 [7872/49812]	Loss: 0.5932	LR: 0.004000
Training Epoch: 32 [7936/49812]	Loss: 0.4645	LR: 0.004000
Training Epoch: 32 [8000/49812]	Loss: 0.3041	LR: 0.004000
Training Epoch: 32 [8064/49812]	Loss: 0.4444	LR: 0.004000
Training Epoch: 32 [8128/49812]	Loss: 0.3740	LR: 0.004000
Training Epoch: 32 [8192/49812]	Loss: 0.4561	LR: 0.004000
Training Epoch: 32 [8256/49812]	Loss: 0.5052	LR: 0.004000
Training Epoch: 32 [8320/49812]	Loss: 0.4225	LR: 0.004000
Training Epoch: 32 [8384/49812]	Loss: 0.6229	LR: 0.004000
Training Epoch: 32 [8448/49812]	Loss: 0.4508	LR: 0.004000
Training Epoch: 32 [8512/49812]	Loss: 0.5796	LR: 0.004000
Training Epoch: 32 [8576/49812]	Loss: 0.4999	LR: 0.004000
Training Epoch: 32 [8640/49812]	Loss: 0.5338	LR: 0.004000
Training Epoch: 32 [8704/49812]	Loss: 0.6056	LR: 0.004000
Training Epoch: 32 [8768/49812]	Loss: 0.3838	LR: 0.004000
Training Epoch: 32 [8832/49812]	Loss: 0.4865	LR: 0.004000
Training Epoch: 32 [8896/49812]	Loss: 0.5759	LR: 0.004000
Training Epoch: 32 [8960/49812]	Loss: 0.6483	LR: 0.004000
Training Epoch: 32 [9024/49812]	Loss: 0.5370	LR: 0.004000
Training Epoch: 32 [9088/49812]	Loss: 0.5528	LR: 0.004000
Training Epoch: 32 [9152/49812]	Loss: 0.5466	LR: 0.004000
Training Epoch: 32 [9216/49812]	Loss: 0.6377	LR: 0.004000
Training Epoch: 32 [9280/49812]	Loss: 0.6450	LR: 0.004000
Training Epoch: 32 [9344/49812]	Loss: 0.3597	LR: 0.004000
Training Epoch: 32 [9408/49812]	Loss: 0.4735	LR: 0.004000
Training Epoch: 32 [9472/49812]	Loss: 0.3127	LR: 0.004000
Training Epoch: 32 [9536/49812]	Loss: 0.6349	LR: 0.004000
Training Epoch: 32 [9600/49812]	Loss: 0.4282	LR: 0.004000
Training Epoch: 32 [9664/49812]	Loss: 0.4817	LR: 0.004000
Training Epoch: 32 [9728/49812]	Loss: 0.4920	LR: 0.004000
Training Epoch: 32 [9792/49812]	Loss: 0.5311	LR: 0.004000
Training Epoch: 32 [9856/49812]	Loss: 0.6028	LR: 0.004000
Training Epoch: 32 [9920/49812]	Loss: 0.5300	LR: 0.004000
Training Epoch: 32 [9984/49812]	Loss: 0.4739	LR: 0.004000
Training Epoch: 32 [10048/49812]	Loss: 0.7477	LR: 0.004000
Training Epoch: 32 [10112/49812]	Loss: 0.5153	LR: 0.004000
Training Epoch: 32 [10176/49812]	Loss: 0.4151	LR: 0.004000
Training Epoch: 32 [10240/49812]	Loss: 0.5401	LR: 0.004000
Training Epoch: 32 [10304/49812]	Loss: 0.4382	LR: 0.004000
Training Epoch: 32 [10368/49812]	Loss: 0.3081	LR: 0.004000
Training Epoch: 32 [10432/49812]	Loss: 0.3931	LR: 0.004000
Training Epoch: 32 [10496/49812]	Loss: 0.3757	LR: 0.004000
Training Epoch: 32 [10560/49812]	Loss: 0.3440	LR: 0.004000
Training Epoch: 32 [10624/49812]	Loss: 0.4370	LR: 0.004000
Training Epoch: 32 [10688/49812]	Loss: 0.4676	LR: 0.004000
Training Epoch: 32 [10752/49812]	Loss: 0.5667	LR: 0.004000
Training Epoch: 32 [10816/49812]	Loss: 0.5261	LR: 0.004000
Training Epoch: 32 [10880/49812]	Loss: 0.6205	LR: 0.004000
Training Epoch: 32 [10944/49812]	Loss: 0.5111	LR: 0.004000
Training Epoch: 32 [11008/49812]	Loss: 0.6653	LR: 0.004000
Training Epoch: 32 [11072/49812]	Loss: 0.5394	LR: 0.004000
Training Epoch: 32 [11136/49812]	Loss: 0.4690	LR: 0.004000
Training Epoch: 32 [11200/49812]	Loss: 0.6055	LR: 0.004000
Training Epoch: 32 [11264/49812]	Loss: 0.4603	LR: 0.004000
Training Epoch: 32 [11328/49812]	Loss: 0.3236	LR: 0.004000
Training Epoch: 32 [11392/49812]	Loss: 0.4413	LR: 0.004000
Training Epoch: 32 [11456/49812]	Loss: 0.4967	LR: 0.004000
Training Epoch: 32 [11520/49812]	Loss: 0.7767	LR: 0.004000
Training Epoch: 32 [11584/49812]	Loss: 0.7136	LR: 0.004000
Training Epoch: 32 [11648/49812]	Loss: 0.5303	LR: 0.004000
Training Epoch: 32 [11712/49812]	Loss: 0.6656	LR: 0.004000
Training Epoch: 32 [11776/49812]	Loss: 0.4605	LR: 0.004000
Training Epoch: 32 [11840/49812]	Loss: 0.3693	LR: 0.004000
Training Epoch: 32 [11904/49812]	Loss: 0.3914	LR: 0.004000
Training Epoch: 32 [11968/49812]	Loss: 0.6686	LR: 0.004000
Training Epoch: 32 [12032/49812]	Loss: 0.3726	LR: 0.004000
Training Epoch: 32 [12096/49812]	Loss: 0.6704	LR: 0.004000
Training Epoch: 32 [12160/49812]	Loss: 0.5988	LR: 0.004000
Training Epoch: 32 [12224/49812]	Loss: 0.3571	LR: 0.004000
Training Epoch: 32 [12288/49812]	Loss: 0.5618	LR: 0.004000
Training Epoch: 32 [12352/49812]	Loss: 0.3583	LR: 0.004000
Training Epoch: 32 [12416/49812]	Loss: 0.4401	LR: 0.004000
Training Epoch: 32 [12480/49812]	Loss: 0.4234	LR: 0.004000
Training Epoch: 32 [12544/49812]	Loss: 0.4484	LR: 0.004000
Training Epoch: 32 [12608/49812]	Loss: 0.4020	LR: 0.004000
Training Epoch: 32 [12672/49812]	Loss: 0.3645	LR: 0.004000
Training Epoch: 32 [12736/49812]	Loss: 0.5178	LR: 0.004000
Training Epoch: 32 [12800/49812]	Loss: 0.3579	LR: 0.004000
Training Epoch: 32 [12864/49812]	Loss: 0.4373	LR: 0.004000
Training Epoch: 32 [12928/49812]	Loss: 0.5030	LR: 0.004000
Training Epoch: 32 [12992/49812]	Loss: 0.4887	LR: 0.004000
Training Epoch: 32 [13056/49812]	Loss: 0.3987	LR: 0.004000
Training Epoch: 32 [13120/49812]	Loss: 0.5921	LR: 0.004000
Training Epoch: 32 [13184/49812]	Loss: 0.4788	LR: 0.004000
Training Epoch: 32 [13248/49812]	Loss: 0.5319	LR: 0.004000
Training Epoch: 32 [13312/49812]	Loss: 0.5317	LR: 0.004000
Training Epoch: 32 [13376/49812]	Loss: 0.4552	LR: 0.004000
Training Epoch: 32 [13440/49812]	Loss: 0.5560	LR: 0.004000
Training Epoch: 32 [13504/49812]	Loss: 0.5124	LR: 0.004000
Training Epoch: 32 [13568/49812]	Loss: 0.4520	LR: 0.004000
Training Epoch: 32 [13632/49812]	Loss: 0.5222	LR: 0.004000
Training Epoch: 32 [13696/49812]	Loss: 0.6712	LR: 0.004000
Training Epoch: 32 [13760/49812]	Loss: 0.3551	LR: 0.004000
Training Epoch: 32 [13824/49812]	Loss: 0.4644	LR: 0.004000
Training Epoch: 32 [13888/49812]	Loss: 0.6731	LR: 0.004000
Training Epoch: 32 [13952/49812]	Loss: 0.6280	LR: 0.004000
Training Epoch: 32 [14016/49812]	Loss: 0.4432	LR: 0.004000
Training Epoch: 32 [14080/49812]	Loss: 0.3968	LR: 0.004000
Training Epoch: 32 [14144/49812]	Loss: 0.4526	LR: 0.004000
Training Epoch: 32 [14208/49812]	Loss: 0.4602	LR: 0.004000
Training Epoch: 32 [14272/49812]	Loss: 0.5920	LR: 0.004000
Training Epoch: 32 [14336/49812]	Loss: 0.5674	LR: 0.004000
Training Epoch: 32 [14400/49812]	Loss: 0.3102	LR: 0.004000
Training Epoch: 32 [14464/49812]	Loss: 0.5611	LR: 0.004000
Training Epoch: 32 [14528/49812]	Loss: 0.5295	LR: 0.004000
Training Epoch: 32 [14592/49812]	Loss: 0.3894	LR: 0.004000
Training Epoch: 32 [14656/49812]	Loss: 0.4228	LR: 0.004000
Training Epoch: 32 [14720/49812]	Loss: 0.3734	LR: 0.004000
Training Epoch: 32 [14784/49812]	Loss: 0.3984	LR: 0.004000
Training Epoch: 32 [14848/49812]	Loss: 0.5083	LR: 0.004000
Training Epoch: 32 [14912/49812]	Loss: 0.5892	LR: 0.004000
Training Epoch: 32 [14976/49812]	Loss: 0.4373	LR: 0.004000
Training Epoch: 32 [15040/49812]	Loss: 0.5510	LR: 0.004000
Training Epoch: 32 [15104/49812]	Loss: 0.3991	LR: 0.004000
Training Epoch: 32 [15168/49812]	Loss: 0.6750	LR: 0.004000
Training Epoch: 32 [15232/49812]	Loss: 0.5448	LR: 0.004000
Training Epoch: 32 [15296/49812]	Loss: 0.3651	LR: 0.004000
Training Epoch: 32 [15360/49812]	Loss: 0.3842	LR: 0.004000
Training Epoch: 32 [15424/49812]	Loss: 0.6204	LR: 0.004000
Training Epoch: 32 [15488/49812]	Loss: 0.4872	LR: 0.004000
Training Epoch: 32 [15552/49812]	Loss: 0.4908	LR: 0.004000
Training Epoch: 32 [15616/49812]	Loss: 0.5173	LR: 0.004000
Training Epoch: 32 [15680/49812]	Loss: 0.5203	LR: 0.004000
Training Epoch: 32 [15744/49812]	Loss: 0.4584	LR: 0.004000
Training Epoch: 32 [15808/49812]	Loss: 0.6490	LR: 0.004000
Training Epoch: 32 [15872/49812]	Loss: 0.4048	LR: 0.004000
Training Epoch: 32 [15936/49812]	Loss: 0.3494	LR: 0.004000
Training Epoch: 32 [16000/49812]	Loss: 0.3806	LR: 0.004000
Training Epoch: 32 [16064/49812]	Loss: 0.2945	LR: 0.004000
Training Epoch: 32 [16128/49812]	Loss: 0.3807	LR: 0.004000
Training Epoch: 32 [16192/49812]	Loss: 0.5846	LR: 0.004000
Training Epoch: 32 [16256/49812]	Loss: 0.4547	LR: 0.004000
Training Epoch: 32 [16320/49812]	Loss: 0.6587	LR: 0.004000
Training Epoch: 32 [16384/49812]	Loss: 0.3996	LR: 0.004000
Training Epoch: 32 [16448/49812]	Loss: 0.4663	LR: 0.004000
Training Epoch: 32 [16512/49812]	Loss: 0.4420	LR: 0.004000
Training Epoch: 32 [16576/49812]	Loss: 0.3666	LR: 0.004000
Training Epoch: 32 [16640/49812]	Loss: 0.4670	LR: 0.004000
Training Epoch: 32 [16704/49812]	Loss: 0.4893	LR: 0.004000
Training Epoch: 32 [16768/49812]	Loss: 0.3979	LR: 0.004000
Training Epoch: 32 [16832/49812]	Loss: 0.7327	LR: 0.004000
Training Epoch: 32 [16896/49812]	Loss: 0.5715	LR: 0.004000
Training Epoch: 32 [16960/49812]	Loss: 0.3849	LR: 0.004000
Training Epoch: 32 [17024/49812]	Loss: 0.5779	LR: 0.004000
Training Epoch: 32 [17088/49812]	Loss: 0.4975	LR: 0.004000
Training Epoch: 32 [17152/49812]	Loss: 0.5483	LR: 0.004000
Training Epoch: 32 [17216/49812]	Loss: 0.3420	LR: 0.004000
Training Epoch: 32 [17280/49812]	Loss: 0.3687	LR: 0.004000
Training Epoch: 32 [17344/49812]	Loss: 0.5351	LR: 0.004000
Training Epoch: 32 [17408/49812]	Loss: 0.5376	LR: 0.004000
Training Epoch: 32 [17472/49812]	Loss: 0.4532	LR: 0.004000
Training Epoch: 32 [17536/49812]	Loss: 0.4567	LR: 0.004000
Training Epoch: 32 [17600/49812]	Loss: 0.4044	LR: 0.004000
Training Epoch: 32 [17664/49812]	Loss: 0.4623	LR: 0.004000
Training Epoch: 32 [17728/49812]	Loss: 0.4644	LR: 0.004000
Training Epoch: 32 [17792/49812]	Loss: 0.4243	LR: 0.004000
Training Epoch: 32 [17856/49812]	Loss: 0.4983	LR: 0.004000
Training Epoch: 32 [17920/49812]	Loss: 0.3708	LR: 0.004000
Training Epoch: 32 [17984/49812]	Loss: 0.3479	LR: 0.004000
Training Epoch: 32 [18048/49812]	Loss: 0.3870	LR: 0.004000
Training Epoch: 32 [18112/49812]	Loss: 0.5762	LR: 0.004000
Training Epoch: 32 [18176/49812]	Loss: 0.4164	LR: 0.004000
Training Epoch: 32 [18240/49812]	Loss: 0.4197	LR: 0.004000
Training Epoch: 32 [18304/49812]	Loss: 0.6171	LR: 0.004000
Training Epoch: 32 [18368/49812]	Loss: 0.5636	LR: 0.004000
Training Epoch: 32 [18432/49812]	Loss: 0.5046	LR: 0.004000
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Training Epoch: 32 [18560/49812]	Loss: 0.5202	LR: 0.004000
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Training Epoch: 32 [18688/49812]	Loss: 0.5690	LR: 0.004000
Training Epoch: 32 [18752/49812]	Loss: 0.6191	LR: 0.004000
Training Epoch: 32 [18816/49812]	Loss: 0.3483	LR: 0.004000
Training Epoch: 32 [18880/49812]	Loss: 0.5036	LR: 0.004000
Training Epoch: 32 [18944/49812]	Loss: 0.4259	LR: 0.004000
Training Epoch: 32 [19008/49812]	Loss: 0.3815	LR: 0.004000
Training Epoch: 32 [19072/49812]	Loss: 0.4274	LR: 0.004000
Training Epoch: 32 [19136/49812]	Loss: 0.4905	LR: 0.004000
Training Epoch: 32 [19200/49812]	Loss: 0.3943	LR: 0.004000
Training Epoch: 32 [19264/49812]	Loss: 0.7361	LR: 0.004000
Training Epoch: 32 [19328/49812]	Loss: 0.4398	LR: 0.004000
Training Epoch: 32 [19392/49812]	Loss: 0.3901	LR: 0.004000
Training Epoch: 32 [19456/49812]	Loss: 0.4803	LR: 0.004000
Training Epoch: 32 [19520/49812]	Loss: 0.7295	LR: 0.004000
Training Epoch: 32 [19584/49812]	Loss: 0.4502	LR: 0.004000
Training Epoch: 32 [19648/49812]	Loss: 0.3969	LR: 0.004000
Training Epoch: 32 [19712/49812]	Loss: 0.7362	LR: 0.004000
Training Epoch: 32 [19776/49812]	Loss: 0.5421	LR: 0.004000
Training Epoch: 32 [19840/49812]	Loss: 0.6285	LR: 0.004000
Training Epoch: 32 [19904/49812]	Loss: 0.5095	LR: 0.004000
Training Epoch: 32 [19968/49812]	Loss: 0.4995	LR: 0.004000
Training Epoch: 32 [20032/49812]	Loss: 0.4302	LR: 0.004000
Training Epoch: 32 [20096/49812]	Loss: 0.7165	LR: 0.004000
Training Epoch: 32 [20160/49812]	Loss: 0.5617	LR: 0.004000
Training Epoch: 32 [20224/49812]	Loss: 0.3381	LR: 0.004000
Training Epoch: 32 [20288/49812]	Loss: 0.5648	LR: 0.004000
Training Epoch: 32 [20352/49812]	Loss: 0.4576	LR: 0.004000
Training Epoch: 32 [20416/49812]	Loss: 0.3827	LR: 0.004000
Training Epoch: 32 [20480/49812]	Loss: 0.6052	LR: 0.004000
Training Epoch: 32 [20544/49812]	Loss: 0.3534	LR: 0.004000
Training Epoch: 32 [20608/49812]	Loss: 0.6138	LR: 0.004000
Training Epoch: 32 [20672/49812]	Loss: 0.3075	LR: 0.004000
Training Epoch: 32 [20736/49812]	Loss: 0.5866	LR: 0.004000
Training Epoch: 32 [20800/49812]	Loss: 0.5907	LR: 0.004000
Training Epoch: 32 [20864/49812]	Loss: 0.4383	LR: 0.004000
Training Epoch: 32 [20928/49812]	Loss: 0.5041	LR: 0.004000
Training Epoch: 32 [20992/49812]	Loss: 0.5324	LR: 0.004000
Training Epoch: 32 [21056/49812]	Loss: 0.5773	LR: 0.004000
Training Epoch: 32 [21120/49812]	Loss: 0.5756	LR: 0.004000
Training Epoch: 32 [21184/49812]	Loss: 0.3948	LR: 0.004000
Training Epoch: 32 [21248/49812]	Loss: 0.5774	LR: 0.004000
Training Epoch: 32 [21312/49812]	Loss: 0.4936	LR: 0.004000
Training Epoch: 32 [21376/49812]	Loss: 0.5767	LR: 0.004000
Training Epoch: 32 [21440/49812]	Loss: 0.5319	LR: 0.004000
Training Epoch: 32 [21504/49812]	Loss: 0.6329	LR: 0.004000
Training Epoch: 32 [21568/49812]	Loss: 0.4739	LR: 0.004000
Training Epoch: 32 [21632/49812]	Loss: 0.3044	LR: 0.004000
Training Epoch: 32 [21696/49812]	Loss: 0.7974	LR: 0.004000
Training Epoch: 32 [21760/49812]	Loss: 0.5378	LR: 0.004000
Training Epoch: 32 [21824/49812]	Loss: 0.5462	LR: 0.004000
Training Epoch: 32 [21888/49812]	Loss: 0.3930	LR: 0.004000
Training Epoch: 32 [21952/49812]	Loss: 0.6185	LR: 0.004000
Training Epoch: 32 [22016/49812]	Loss: 0.5074	LR: 0.004000
Training Epoch: 32 [22080/49812]	Loss: 0.6880	LR: 0.004000
Training Epoch: 32 [22144/49812]	Loss: 0.3411	LR: 0.004000
Training Epoch: 32 [22208/49812]	Loss: 0.3336	LR: 0.004000
Training Epoch: 32 [22272/49812]	Loss: 0.6758	LR: 0.004000
Training Epoch: 32 [22336/49812]	Loss: 0.2385	LR: 0.004000
Training Epoch: 32 [22400/49812]	Loss: 0.6152	LR: 0.004000
Training Epoch: 32 [22464/49812]	Loss: 0.6198	LR: 0.004000
Training Epoch: 32 [22528/49812]	Loss: 0.4792	LR: 0.004000
Training Epoch: 32 [22592/49812]	Loss: 0.4262	LR: 0.004000
Training Epoch: 32 [22656/49812]	Loss: 0.5711	LR: 0.004000
Training Epoch: 32 [22720/49812]	Loss: 0.5124	LR: 0.004000
Training Epoch: 32 [22784/49812]	Loss: 0.7558	LR: 0.004000
Training Epoch: 32 [22848/49812]	Loss: 0.5988	LR: 0.004000
Training Epoch: 32 [22912/49812]	Loss: 0.4672	LR: 0.004000
Training Epoch: 32 [22976/49812]	Loss: 0.5192	LR: 0.004000
Training Epoch: 32 [23040/49812]	Loss: 0.5282	LR: 0.004000
Training Epoch: 32 [23104/49812]	Loss: 0.5360	LR: 0.004000
Training Epoch: 32 [23168/49812]	Loss: 0.4376	LR: 0.004000
Training Epoch: 32 [23232/49812]	Loss: 0.7946	LR: 0.004000
Training Epoch: 32 [23296/49812]	Loss: 0.5258	LR: 0.004000
Training Epoch: 32 [23360/49812]	Loss: 0.4294	LR: 0.004000
Training Epoch: 32 [23424/49812]	Loss: 0.8014	LR: 0.004000
Training Epoch: 32 [23488/49812]	Loss: 0.4015	LR: 0.004000
Training Epoch: 32 [23552/49812]	Loss: 0.4902	LR: 0.004000
Training Epoch: 32 [23616/49812]	Loss: 0.5846	LR: 0.004000
Training Epoch: 32 [23680/49812]	Loss: 0.5220	LR: 0.004000
Training Epoch: 32 [23744/49812]	Loss: 0.6186	LR: 0.004000
Training Epoch: 32 [23808/49812]	Loss: 0.4921	LR: 0.004000
Training Epoch: 32 [23872/49812]	Loss: 0.2972	LR: 0.004000
Training Epoch: 32 [23936/49812]	Loss: 0.4399	LR: 0.004000
Training Epoch: 32 [24000/49812]	Loss: 0.4234	LR: 0.004000
Training Epoch: 32 [24064/49812]	Loss: 0.5012	LR: 0.004000
Training Epoch: 32 [24128/49812]	Loss: 0.4815	LR: 0.004000
Training Epoch: 32 [24192/49812]	Loss: 0.8419	LR: 0.004000
Training Epoch: 32 [24256/49812]	Loss: 0.5932	LR: 0.004000
Training Epoch: 32 [24320/49812]	Loss: 0.4679	LR: 0.004000
Training Epoch: 32 [24384/49812]	Loss: 0.5925	LR: 0.004000
Training Epoch: 32 [24448/49812]	Loss: 0.4758	LR: 0.004000
Training Epoch: 32 [24512/49812]	Loss: 0.6937	LR: 0.004000
Training Epoch: 32 [24576/49812]	Loss: 0.4675	LR: 0.004000
Training Epoch: 32 [24640/49812]	Loss: 0.2252	LR: 0.004000
Training Epoch: 32 [24704/49812]	Loss: 0.6833	LR: 0.004000
Training Epoch: 32 [24768/49812]	Loss: 0.5831	LR: 0.004000
Training Epoch: 32 [24832/49812]	Loss: 0.4055	LR: 0.004000
Training Epoch: 32 [24896/49812]	Loss: 0.4930	LR: 0.004000
Training Epoch: 32 [24960/49812]	Loss: 0.4677	LR: 0.004000
Training Epoch: 32 [25024/49812]	Loss: 0.3800	LR: 0.004000
Training Epoch: 32 [25088/49812]	Loss: 0.5499	LR: 0.004000
Training Epoch: 32 [25152/49812]	Loss: 0.5261	LR: 0.004000
Training Epoch: 32 [25216/49812]	Loss: 0.3059	LR: 0.004000
Training Epoch: 32 [25280/49812]	Loss: 0.7063	LR: 0.004000
Training Epoch: 32 [25344/49812]	Loss: 0.6506	LR: 0.004000
Training Epoch: 32 [25408/49812]	Loss: 0.5450	LR: 0.004000
Training Epoch: 32 [25472/49812]	Loss: 0.3961	LR: 0.004000
Training Epoch: 32 [25536/49812]	Loss: 0.7662	LR: 0.004000
Training Epoch: 32 [25600/49812]	Loss: 0.4573	LR: 0.004000
Training Epoch: 32 [25664/49812]	Loss: 0.7166	LR: 0.004000
Training Epoch: 32 [25728/49812]	Loss: 0.6389	LR: 0.004000
Training Epoch: 32 [25792/49812]	Loss: 0.6187	LR: 0.004000
Training Epoch: 32 [25856/49812]	Loss: 0.6543	LR: 0.004000
Training Epoch: 32 [25920/49812]	Loss: 0.4763	LR: 0.004000
Training Epoch: 32 [25984/49812]	Loss: 0.5234	LR: 0.004000
Training Epoch: 32 [26048/49812]	Loss: 0.4634	LR: 0.004000
Training Epoch: 32 [26112/49812]	Loss: 0.3366	LR: 0.004000
Training Epoch: 32 [26176/49812]	Loss: 0.4928	LR: 0.004000
Training Epoch: 32 [26240/49812]	Loss: 0.5317	LR: 0.004000
Training Epoch: 32 [26304/49812]	Loss: 0.5497	LR: 0.004000
Training Epoch: 32 [26368/49812]	Loss: 0.6790	LR: 0.004000
Training Epoch: 32 [26432/49812]	Loss: 0.5101	LR: 0.004000
Training Epoch: 32 [26496/49812]	Loss: 0.6994	LR: 0.004000
Training Epoch: 32 [26560/49812]	Loss: 0.3766	LR: 0.004000
Training Epoch: 32 [26624/49812]	Loss: 0.4856	LR: 0.004000
Training Epoch: 32 [26688/49812]	Loss: 0.3870	LR: 0.004000
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Training Epoch: 32 [26816/49812]	Loss: 0.4066	LR: 0.004000
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Training Epoch: 32 [27072/49812]	Loss: 0.3220	LR: 0.004000
Training Epoch: 32 [27136/49812]	Loss: 0.4187	LR: 0.004000
Training Epoch: 32 [27200/49812]	Loss: 0.6210	LR: 0.004000
Training Epoch: 32 [27264/49812]	Loss: 0.6160	LR: 0.004000
Training Epoch: 32 [27328/49812]	Loss: 0.5333	LR: 0.004000
Training Epoch: 32 [27392/49812]	Loss: 0.5365	LR: 0.004000
Training Epoch: 32 [27456/49812]	Loss: 0.4316	LR: 0.004000
Training Epoch: 32 [27520/49812]	Loss: 0.4135	LR: 0.004000
Training Epoch: 32 [27584/49812]	Loss: 0.3692	LR: 0.004000
Training Epoch: 32 [27648/49812]	Loss: 0.5414	LR: 0.004000
Training Epoch: 32 [27712/49812]	Loss: 0.5591	LR: 0.004000
Training Epoch: 32 [27776/49812]	Loss: 0.4703	LR: 0.004000
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Training Epoch: 32 [27904/49812]	Loss: 0.6482	LR: 0.004000
Training Epoch: 32 [27968/49812]	Loss: 0.4348	LR: 0.004000
Training Epoch: 32 [28032/49812]	Loss: 0.4455	LR: 0.004000
Training Epoch: 32 [28096/49812]	Loss: 0.3901	LR: 0.004000
Training Epoch: 32 [28160/49812]	Loss: 0.4366	LR: 0.004000
Training Epoch: 32 [28224/49812]	Loss: 0.6082	LR: 0.004000
Training Epoch: 32 [28288/49812]	Loss: 0.4420	LR: 0.004000
Training Epoch: 32 [28352/49812]	Loss: 0.5553	LR: 0.004000
Training Epoch: 32 [28416/49812]	Loss: 0.3757	LR: 0.004000
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Training Epoch: 32 [28608/49812]	Loss: 0.4704	LR: 0.004000
Training Epoch: 32 [28672/49812]	Loss: 0.4346	LR: 0.004000
Training Epoch: 32 [28736/49812]	Loss: 0.5106	LR: 0.004000
Training Epoch: 32 [28800/49812]	Loss: 0.6850	LR: 0.004000
Training Epoch: 32 [28864/49812]	Loss: 0.4576	LR: 0.004000
Training Epoch: 32 [28928/49812]	Loss: 0.5154	LR: 0.004000
Training Epoch: 32 [28992/49812]	Loss: 0.2997	LR: 0.004000
Training Epoch: 32 [29056/49812]	Loss: 0.5497	LR: 0.004000
Training Epoch: 32 [29120/49812]	Loss: 0.4939	LR: 0.004000
Training Epoch: 32 [29184/49812]	Loss: 0.6019	LR: 0.004000
Training Epoch: 32 [29248/49812]	Loss: 0.6863	LR: 0.004000
Training Epoch: 32 [29312/49812]	Loss: 0.3626	LR: 0.004000
Training Epoch: 32 [29376/49812]	Loss: 0.5713	LR: 0.004000
Training Epoch: 32 [29440/49812]	Loss: 0.4443	LR: 0.004000
Training Epoch: 32 [29504/49812]	Loss: 0.7231	LR: 0.004000
Training Epoch: 32 [29568/49812]	Loss: 0.6567	LR: 0.004000
Training Epoch: 32 [29632/49812]	Loss: 0.6869	LR: 0.004000
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Training Epoch: 32 [30016/49812]	Loss: 0.5966	LR: 0.004000
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Training Epoch: 32 [30528/49812]	Loss: 0.5183	LR: 0.004000
Training Epoch: 32 [30592/49812]	Loss: 0.6569	LR: 0.004000
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Training Epoch: 32 [30720/49812]	Loss: 0.4529	LR: 0.004000
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Training Epoch: 32 [36032/49812]	Loss: 0.3392	LR: 0.004000
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Training Epoch: 32 [36160/49812]	Loss: 0.5214	LR: 0.004000
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Training Epoch: 32 [36352/49812]	Loss: 0.5646	LR: 0.004000
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Training Epoch: 32 [36544/49812]	Loss: 0.2927	LR: 0.004000
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Training Epoch: 32 [38720/49812]	Loss: 0.5183	LR: 0.004000
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Training Epoch: 32 [38912/49812]	Loss: 0.6160	LR: 0.004000
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Training Epoch: 32 [39104/49812]	Loss: 0.3731	LR: 0.004000
Training Epoch: 32 [39168/49812]	Loss: 0.5525	LR: 0.004000
Training Epoch: 32 [39232/49812]	Loss: 0.3894	LR: 0.004000
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Training Epoch: 32 [39616/49812]	Loss: 0.5858	LR: 0.004000
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Training Epoch: 32 [40128/49812]	Loss: 0.5870	LR: 0.004000
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Training Epoch: 32 [42752/49812]	Loss: 0.5353	LR: 0.004000
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Training Epoch: 32 [43328/49812]	Loss: 0.5190	LR: 0.004000
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Training Epoch: 32 [44224/49812]	Loss: 0.5534	LR: 0.004000
Training Epoch: 32 [44288/49812]	Loss: 0.4858	LR: 0.004000
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Training Epoch: 32 [46656/49812]	Loss: 0.9290	LR: 0.004000
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Training Epoch: 32 [47872/49812]	Loss: 0.3259	LR: 0.004000
Training Epoch: 32 [47936/49812]	Loss: 0.4356	LR: 0.004000
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Training Epoch: 32 [48128/49812]	Loss: 0.6488	LR: 0.004000
Training Epoch: 32 [48192/49812]	Loss: 0.7318	LR: 0.004000
Training Epoch: 32 [48256/49812]	Loss: 0.5213	LR: 0.004000
Training Epoch: 32 [48320/49812]	Loss: 0.4302	LR: 0.004000
Training Epoch: 32 [48384/49812]	Loss: 0.8383	LR: 0.004000
Training Epoch: 32 [48448/49812]	Loss: 0.5081	LR: 0.004000
Training Epoch: 32 [48512/49812]	Loss: 0.6208	LR: 0.004000
Training Epoch: 32 [48576/49812]	Loss: 0.7395	LR: 0.004000
Training Epoch: 32 [48640/49812]	Loss: 0.5694	LR: 0.004000
Training Epoch: 32 [48704/49812]	Loss: 0.3819	LR: 0.004000
Training Epoch: 32 [48768/49812]	Loss: 0.3732	LR: 0.004000
Training Epoch: 32 [48832/49812]	Loss: 0.4722	LR: 0.004000
Training Epoch: 32 [48896/49812]	Loss: 0.4130	LR: 0.004000
Training Epoch: 32 [48960/49812]	Loss: 0.4201	LR: 0.004000
Training Epoch: 32 [49024/49812]	Loss: 0.4890	LR: 0.004000
Training Epoch: 32 [49088/49812]	Loss: 0.3633	LR: 0.004000
Training Epoch: 32 [49152/49812]	Loss: 0.7114	LR: 0.004000
Training Epoch: 32 [49216/49812]	Loss: 0.5797	LR: 0.004000
Training Epoch: 32 [49280/49812]	Loss: 0.3378	LR: 0.004000
Training Epoch: 32 [49344/49812]	Loss: 0.5059	LR: 0.004000
Training Epoch: 32 [49408/49812]	Loss: 0.6867	LR: 0.004000
Training Epoch: 32 [49472/49812]	Loss: 0.5558	LR: 0.004000
Training Epoch: 32 [49536/49812]	Loss: 0.6686	LR: 0.004000
Training Epoch: 32 [49600/49812]	Loss: 0.5636	LR: 0.004000
Training Epoch: 32 [49664/49812]	Loss: 0.6359	LR: 0.004000
Training Epoch: 32 [49728/49812]	Loss: 0.6406	LR: 0.004000
Training Epoch: 32 [49792/49812]	Loss: 0.4234	LR: 0.004000
Training Epoch: 32 [49812/49812]	Loss: 0.6786	LR: 0.004000
Epoch 32 - Average Train Loss: 0.5087, Train Accuracy: 0.8382
Epoch 32 training time consumed: 263.72s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0109, Accuracy: 0.7837, Time consumed:17.00s
Training Epoch: 33 [64/49812]	Loss: 0.4088	LR: 0.004000
Training Epoch: 33 [128/49812]	Loss: 0.4220	LR: 0.004000
Training Epoch: 33 [192/49812]	Loss: 0.4986	LR: 0.004000
Training Epoch: 33 [256/49812]	Loss: 0.3777	LR: 0.004000
Training Epoch: 33 [320/49812]	Loss: 0.3385	LR: 0.004000
Training Epoch: 33 [384/49812]	Loss: 0.4744	LR: 0.004000
Training Epoch: 33 [448/49812]	Loss: 0.3846	LR: 0.004000
Training Epoch: 33 [512/49812]	Loss: 0.5645	LR: 0.004000
Training Epoch: 33 [576/49812]	Loss: 0.5904	LR: 0.004000
Training Epoch: 33 [640/49812]	Loss: 0.4802	LR: 0.004000
Training Epoch: 33 [704/49812]	Loss: 0.4498	LR: 0.004000
Training Epoch: 33 [768/49812]	Loss: 0.5989	LR: 0.004000
Training Epoch: 33 [832/49812]	Loss: 0.5590	LR: 0.004000
Training Epoch: 33 [896/49812]	Loss: 0.3293	LR: 0.004000
Training Epoch: 33 [960/49812]	Loss: 0.4773	LR: 0.004000
Training Epoch: 33 [1024/49812]	Loss: 0.4954	LR: 0.004000
Training Epoch: 33 [1088/49812]	Loss: 0.6014	LR: 0.004000
Training Epoch: 33 [1152/49812]	Loss: 0.5433	LR: 0.004000
Training Epoch: 33 [1216/49812]	Loss: 0.3919	LR: 0.004000
Training Epoch: 33 [1280/49812]	Loss: 0.7193	LR: 0.004000
Training Epoch: 33 [1344/49812]	Loss: 0.4120	LR: 0.004000
Training Epoch: 33 [1408/49812]	Loss: 0.3895	LR: 0.004000
Training Epoch: 33 [1472/49812]	Loss: 0.5226	LR: 0.004000
Training Epoch: 33 [1536/49812]	Loss: 0.5927	LR: 0.004000
Training Epoch: 33 [1600/49812]	Loss: 0.5864	LR: 0.004000
Training Epoch: 33 [1664/49812]	Loss: 0.7262	LR: 0.004000
Training Epoch: 33 [1728/49812]	Loss: 0.4518	LR: 0.004000
Training Epoch: 33 [1792/49812]	Loss: 0.4974	LR: 0.004000
Training Epoch: 33 [1856/49812]	Loss: 0.4181	LR: 0.004000
Training Epoch: 33 [1920/49812]	Loss: 0.5217	LR: 0.004000
Training Epoch: 33 [1984/49812]	Loss: 0.5522	LR: 0.004000
Training Epoch: 33 [2048/49812]	Loss: 0.3871	LR: 0.004000
Training Epoch: 33 [2112/49812]	Loss: 0.4521	LR: 0.004000
Training Epoch: 33 [2176/49812]	Loss: 0.4423	LR: 0.004000
Training Epoch: 33 [2240/49812]	Loss: 0.5705	LR: 0.004000
Training Epoch: 33 [2304/49812]	Loss: 0.4562	LR: 0.004000
Training Epoch: 33 [2368/49812]	Loss: 0.4965	LR: 0.004000
Training Epoch: 33 [2432/49812]	Loss: 0.5332	LR: 0.004000
Training Epoch: 33 [2496/49812]	Loss: 0.4317	LR: 0.004000
Training Epoch: 33 [2560/49812]	Loss: 0.4187	LR: 0.004000
Training Epoch: 33 [2624/49812]	Loss: 0.5453	LR: 0.004000
Training Epoch: 33 [2688/49812]	Loss: 0.6472	LR: 0.004000
Training Epoch: 33 [2752/49812]	Loss: 0.5595	LR: 0.004000
Training Epoch: 33 [2816/49812]	Loss: 0.4910	LR: 0.004000
Training Epoch: 33 [2880/49812]	Loss: 0.6213	LR: 0.004000
Training Epoch: 33 [2944/49812]	Loss: 0.5447	LR: 0.004000
Training Epoch: 33 [3008/49812]	Loss: 0.5569	LR: 0.004000
Training Epoch: 33 [3072/49812]	Loss: 0.3247	LR: 0.004000
Training Epoch: 33 [3136/49812]	Loss: 0.6679	LR: 0.004000
Training Epoch: 33 [3200/49812]	Loss: 0.4591	LR: 0.004000
Training Epoch: 33 [3264/49812]	Loss: 0.3376	LR: 0.004000
Training Epoch: 33 [3328/49812]	Loss: 0.4805	LR: 0.004000
Training Epoch: 33 [3392/49812]	Loss: 0.6611	LR: 0.004000
Training Epoch: 33 [3456/49812]	Loss: 0.7605	LR: 0.004000
Training Epoch: 33 [3520/49812]	Loss: 0.4938	LR: 0.004000
Training Epoch: 33 [3584/49812]	Loss: 0.3985	LR: 0.004000
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Training Epoch: 33 [3712/49812]	Loss: 0.5374	LR: 0.004000
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Training Epoch: 33 [3840/49812]	Loss: 0.3163	LR: 0.004000
Training Epoch: 33 [3904/49812]	Loss: 0.4718	LR: 0.004000
Training Epoch: 33 [3968/49812]	Loss: 0.6945	LR: 0.004000
Training Epoch: 33 [4032/49812]	Loss: 0.4625	LR: 0.004000
Training Epoch: 33 [4096/49812]	Loss: 0.4482	LR: 0.004000
Training Epoch: 33 [4160/49812]	Loss: 0.3483	LR: 0.004000
Training Epoch: 33 [4224/49812]	Loss: 0.2685	LR: 0.004000
Training Epoch: 33 [4288/49812]	Loss: 0.5137	LR: 0.004000
Training Epoch: 33 [4352/49812]	Loss: 0.3647	LR: 0.004000
Training Epoch: 33 [4416/49812]	Loss: 0.3292	LR: 0.004000
Training Epoch: 33 [4480/49812]	Loss: 0.7212	LR: 0.004000
Training Epoch: 33 [4544/49812]	Loss: 0.4096	LR: 0.004000
Training Epoch: 33 [4608/49812]	Loss: 0.6651	LR: 0.004000
Training Epoch: 33 [4672/49812]	Loss: 0.4375	LR: 0.004000
Training Epoch: 33 [4736/49812]	Loss: 0.5060	LR: 0.004000
Training Epoch: 33 [4800/49812]	Loss: 0.3968	LR: 0.004000
Training Epoch: 33 [4864/49812]	Loss: 0.4263	LR: 0.004000
Training Epoch: 33 [4928/49812]	Loss: 0.4082	LR: 0.004000
Training Epoch: 33 [4992/49812]	Loss: 0.4316	LR: 0.004000
Training Epoch: 33 [5056/49812]	Loss: 0.5132	LR: 0.004000
Training Epoch: 33 [5120/49812]	Loss: 0.6107	LR: 0.004000
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Training Epoch: 33 [5504/49812]	Loss: 0.4852	LR: 0.004000
Training Epoch: 33 [5568/49812]	Loss: 0.4418	LR: 0.004000
Training Epoch: 33 [5632/49812]	Loss: 0.4878	LR: 0.004000
Training Epoch: 33 [5696/49812]	Loss: 0.4397	LR: 0.004000
Training Epoch: 33 [5760/49812]	Loss: 0.4909	LR: 0.004000
Training Epoch: 33 [5824/49812]	Loss: 0.4175	LR: 0.004000
Training Epoch: 33 [5888/49812]	Loss: 0.5032	LR: 0.004000
Training Epoch: 33 [5952/49812]	Loss: 0.3731	LR: 0.004000
Training Epoch: 33 [6016/49812]	Loss: 0.4149	LR: 0.004000
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Training Epoch: 33 [6144/49812]	Loss: 0.5089	LR: 0.004000
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Training Epoch: 33 [6528/49812]	Loss: 0.5088	LR: 0.004000
Training Epoch: 33 [6592/49812]	Loss: 0.4853	LR: 0.004000
Training Epoch: 33 [6656/49812]	Loss: 0.4941	LR: 0.004000
Training Epoch: 33 [6720/49812]	Loss: 0.5673	LR: 0.004000
Training Epoch: 33 [6784/49812]	Loss: 0.4371	LR: 0.004000
Training Epoch: 33 [6848/49812]	Loss: 0.5667	LR: 0.004000
Training Epoch: 33 [6912/49812]	Loss: 0.3176	LR: 0.004000
Training Epoch: 33 [6976/49812]	Loss: 0.4875	LR: 0.004000
Training Epoch: 33 [7040/49812]	Loss: 0.5837	LR: 0.004000
Training Epoch: 33 [7104/49812]	Loss: 0.5636	LR: 0.004000
Training Epoch: 33 [7168/49812]	Loss: 0.3235	LR: 0.004000
Training Epoch: 33 [7232/49812]	Loss: 0.4103	LR: 0.004000
Training Epoch: 33 [7296/49812]	Loss: 0.4324	LR: 0.004000
Training Epoch: 33 [7360/49812]	Loss: 0.5603	LR: 0.004000
Training Epoch: 33 [7424/49812]	Loss: 0.3303	LR: 0.004000
Training Epoch: 33 [7488/49812]	Loss: 0.4558	LR: 0.004000
Training Epoch: 33 [7552/49812]	Loss: 0.6296	LR: 0.004000
Training Epoch: 33 [7616/49812]	Loss: 0.4636	LR: 0.004000
Training Epoch: 33 [7680/49812]	Loss: 0.5137	LR: 0.004000
Training Epoch: 33 [7744/49812]	Loss: 0.6758	LR: 0.004000
Training Epoch: 33 [7808/49812]	Loss: 0.4958	LR: 0.004000
Training Epoch: 33 [7872/49812]	Loss: 0.4413	LR: 0.004000
Training Epoch: 33 [7936/49812]	Loss: 0.4719	LR: 0.004000
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Training Epoch: 33 [8128/49812]	Loss: 0.5851	LR: 0.004000
Training Epoch: 33 [8192/49812]	Loss: 0.4913	LR: 0.004000
Training Epoch: 33 [8256/49812]	Loss: 0.5350	LR: 0.004000
Training Epoch: 33 [8320/49812]	Loss: 0.6577	LR: 0.004000
Training Epoch: 33 [8384/49812]	Loss: 0.4599	LR: 0.004000
Training Epoch: 33 [8448/49812]	Loss: 0.4380	LR: 0.004000
Training Epoch: 33 [8512/49812]	Loss: 0.5325	LR: 0.004000
Training Epoch: 33 [8576/49812]	Loss: 0.4156	LR: 0.004000
Training Epoch: 33 [8640/49812]	Loss: 0.4436	LR: 0.004000
Training Epoch: 33 [8704/49812]	Loss: 0.5602	LR: 0.004000
Training Epoch: 33 [8768/49812]	Loss: 0.4063	LR: 0.004000
Training Epoch: 33 [8832/49812]	Loss: 0.6419	LR: 0.004000
Training Epoch: 33 [8896/49812]	Loss: 0.4530	LR: 0.004000
Training Epoch: 33 [8960/49812]	Loss: 0.5057	LR: 0.004000
Training Epoch: 33 [9024/49812]	Loss: 0.3986	LR: 0.004000
Training Epoch: 33 [9088/49812]	Loss: 0.6734	LR: 0.004000
Training Epoch: 33 [9152/49812]	Loss: 0.5021	LR: 0.004000
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Training Epoch: 33 [9280/49812]	Loss: 0.4250	LR: 0.004000
Training Epoch: 33 [9344/49812]	Loss: 0.5264	LR: 0.004000
Training Epoch: 33 [9408/49812]	Loss: 0.4713	LR: 0.004000
Training Epoch: 33 [9472/49812]	Loss: 0.6119	LR: 0.004000
Training Epoch: 33 [9536/49812]	Loss: 0.4043	LR: 0.004000
Training Epoch: 33 [9600/49812]	Loss: 0.6278	LR: 0.004000
Training Epoch: 33 [9664/49812]	Loss: 0.3185	LR: 0.004000
Training Epoch: 33 [9728/49812]	Loss: 0.5919	LR: 0.004000
Training Epoch: 33 [9792/49812]	Loss: 0.4978	LR: 0.004000
Training Epoch: 33 [9856/49812]	Loss: 0.4435	LR: 0.004000
Training Epoch: 33 [9920/49812]	Loss: 0.5548	LR: 0.004000
Training Epoch: 33 [9984/49812]	Loss: 0.3395	LR: 0.004000
Training Epoch: 33 [10048/49812]	Loss: 0.3973	LR: 0.004000
Training Epoch: 33 [10112/49812]	Loss: 0.2399	LR: 0.004000
Training Epoch: 33 [10176/49812]	Loss: 0.4609	LR: 0.004000
Training Epoch: 33 [10240/49812]	Loss: 0.7681	LR: 0.004000
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Training Epoch: 33 [10368/49812]	Loss: 0.5896	LR: 0.004000
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Training Epoch: 33 [10880/49812]	Loss: 0.5044	LR: 0.004000
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Training Epoch: 33 [11264/49812]	Loss: 0.5319	LR: 0.004000
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Training Epoch: 33 [16704/49812]	Loss: 0.6619	LR: 0.004000
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Training Epoch: 33 [16896/49812]	Loss: 0.5674	LR: 0.004000
Training Epoch: 33 [16960/49812]	Loss: 0.6644	LR: 0.004000
Training Epoch: 33 [17024/49812]	Loss: 0.3705	LR: 0.004000
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Training Epoch: 33 [17152/49812]	Loss: 0.5053	LR: 0.004000
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Training Epoch: 33 [17344/49812]	Loss: 0.4617	LR: 0.004000
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Training Epoch: 33 [17536/49812]	Loss: 0.6271	LR: 0.004000
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Training Epoch: 33 [17728/49812]	Loss: 0.5534	LR: 0.004000
Training Epoch: 33 [17792/49812]	Loss: 0.6580	LR: 0.004000
Training Epoch: 33 [17856/49812]	Loss: 0.4325	LR: 0.004000
Training Epoch: 33 [17920/49812]	Loss: 0.4927	LR: 0.004000
Training Epoch: 33 [17984/49812]	Loss: 0.6308	LR: 0.004000
Training Epoch: 33 [18048/49812]	Loss: 0.4298	LR: 0.004000
Training Epoch: 33 [18112/49812]	Loss: 0.3231	LR: 0.004000
Training Epoch: 33 [18176/49812]	Loss: 0.4536	LR: 0.004000
Training Epoch: 33 [18240/49812]	Loss: 0.4498	LR: 0.004000
Training Epoch: 33 [18304/49812]	Loss: 0.4033	LR: 0.004000
Training Epoch: 33 [18368/49812]	Loss: 0.5675	LR: 0.004000
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Training Epoch: 33 [18496/49812]	Loss: 0.5501	LR: 0.004000
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Training Epoch: 33 [18816/49812]	Loss: 0.4457	LR: 0.004000
Training Epoch: 33 [18880/49812]	Loss: 0.4040	LR: 0.004000
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Training Epoch: 33 [19008/49812]	Loss: 0.4732	LR: 0.004000
Training Epoch: 33 [19072/49812]	Loss: 0.3770	LR: 0.004000
Training Epoch: 33 [19136/49812]	Loss: 0.5617	LR: 0.004000
Training Epoch: 33 [19200/49812]	Loss: 0.4596	LR: 0.004000
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Training Epoch: 33 [19328/49812]	Loss: 0.6302	LR: 0.004000
Training Epoch: 33 [19392/49812]	Loss: 0.3082	LR: 0.004000
Training Epoch: 33 [19456/49812]	Loss: 0.6237	LR: 0.004000
Training Epoch: 33 [19520/49812]	Loss: 0.5158	LR: 0.004000
Training Epoch: 33 [19584/49812]	Loss: 0.5233	LR: 0.004000
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Training Epoch: 33 [19904/49812]	Loss: 0.5468	LR: 0.004000
Training Epoch: 33 [19968/49812]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [20032/49812]	Loss: 0.4591	LR: 0.004000
Training Epoch: 33 [20096/49812]	Loss: 0.3984	LR: 0.004000
Training Epoch: 33 [20160/49812]	Loss: 0.6448	LR: 0.004000
Training Epoch: 33 [20224/49812]	Loss: 0.3647	LR: 0.004000
Training Epoch: 33 [20288/49812]	Loss: 0.5478	LR: 0.004000
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Training Epoch: 33 [20544/49812]	Loss: 0.2927	LR: 0.004000
Training Epoch: 33 [20608/49812]	Loss: 0.3922	LR: 0.004000
Training Epoch: 33 [20672/49812]	Loss: 0.4966	LR: 0.004000
Training Epoch: 33 [20736/49812]	Loss: 0.5091	LR: 0.004000
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Training Epoch: 33 [20928/49812]	Loss: 0.3784	LR: 0.004000
Training Epoch: 33 [20992/49812]	Loss: 0.5113	LR: 0.004000
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Training Epoch: 33 [21120/49812]	Loss: 0.6076	LR: 0.004000
Training Epoch: 33 [21184/49812]	Loss: 0.5028	LR: 0.004000
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Training Epoch: 33 [21312/49812]	Loss: 0.4174	LR: 0.004000
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Training Epoch: 33 [21760/49812]	Loss: 0.5336	LR: 0.004000
Training Epoch: 33 [21824/49812]	Loss: 0.4587	LR: 0.004000
Training Epoch: 33 [21888/49812]	Loss: 0.4218	LR: 0.004000
Training Epoch: 33 [21952/49812]	Loss: 0.6303	LR: 0.004000
Training Epoch: 33 [22016/49812]	Loss: 0.5340	LR: 0.004000
Training Epoch: 33 [22080/49812]	Loss: 0.6479	LR: 0.004000
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Training Epoch: 33 [22272/49812]	Loss: 0.3167	LR: 0.004000
Training Epoch: 33 [22336/49812]	Loss: 0.4020	LR: 0.004000
Training Epoch: 33 [22400/49812]	Loss: 0.4816	LR: 0.004000
Training Epoch: 33 [22464/49812]	Loss: 0.6468	LR: 0.004000
Training Epoch: 33 [22528/49812]	Loss: 0.3202	LR: 0.004000
Training Epoch: 33 [22592/49812]	Loss: 0.3754	LR: 0.004000
Training Epoch: 33 [22656/49812]	Loss: 0.5855	LR: 0.004000
Training Epoch: 33 [22720/49812]	Loss: 0.6285	LR: 0.004000
Training Epoch: 33 [22784/49812]	Loss: 0.3349	LR: 0.004000
Training Epoch: 33 [22848/49812]	Loss: 0.3771	LR: 0.004000
Training Epoch: 33 [22912/49812]	Loss: 0.5534	LR: 0.004000
Training Epoch: 33 [22976/49812]	Loss: 0.5355	LR: 0.004000
Training Epoch: 33 [23040/49812]	Loss: 0.5382	LR: 0.004000
Training Epoch: 33 [23104/49812]	Loss: 0.5150	LR: 0.004000
Training Epoch: 33 [23168/49812]	Loss: 0.4993	LR: 0.004000
Training Epoch: 33 [23232/49812]	Loss: 0.5717	LR: 0.004000
Training Epoch: 33 [23296/49812]	Loss: 0.6103	LR: 0.004000
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Training Epoch: 33 [23744/49812]	Loss: 0.5432	LR: 0.004000
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Training Epoch: 33 [23936/49812]	Loss: 0.4400	LR: 0.004000
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Training Epoch: 33 [24064/49812]	Loss: 0.5856	LR: 0.004000
Training Epoch: 33 [24128/49812]	Loss: 0.5601	LR: 0.004000
Training Epoch: 33 [24192/49812]	Loss: 0.4012	LR: 0.004000
Training Epoch: 33 [24256/49812]	Loss: 0.5540	LR: 0.004000
Training Epoch: 33 [24320/49812]	Loss: 0.4309	LR: 0.004000
Training Epoch: 33 [24384/49812]	Loss: 0.5699	LR: 0.004000
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Training Epoch: 33 [24832/49812]	Loss: 0.4525	LR: 0.004000
Training Epoch: 33 [24896/49812]	Loss: 0.2953	LR: 0.004000
Training Epoch: 33 [24960/49812]	Loss: 0.5214	LR: 0.004000
Training Epoch: 33 [25024/49812]	Loss: 0.5702	LR: 0.004000
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Training Epoch: 33 [25152/49812]	Loss: 0.5186	LR: 0.004000
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Training Epoch: 33 [25472/49812]	Loss: 0.4324	LR: 0.004000
Training Epoch: 33 [25536/49812]	Loss: 0.3558	LR: 0.004000
Training Epoch: 33 [25600/49812]	Loss: 0.5285	LR: 0.004000
Training Epoch: 33 [25664/49812]	Loss: 0.4533	LR: 0.004000
Training Epoch: 33 [25728/49812]	Loss: 0.4225	LR: 0.004000
Training Epoch: 33 [25792/49812]	Loss: 0.3900	LR: 0.004000
Training Epoch: 33 [25856/49812]	Loss: 0.4075	LR: 0.004000
Training Epoch: 33 [25920/49812]	Loss: 0.5215	LR: 0.004000
Training Epoch: 33 [25984/49812]	Loss: 0.7776	LR: 0.004000
Training Epoch: 33 [26048/49812]	Loss: 0.5675	LR: 0.004000
Training Epoch: 33 [26112/49812]	Loss: 0.3988	LR: 0.004000
Training Epoch: 33 [26176/49812]	Loss: 0.4754	LR: 0.004000
Training Epoch: 33 [26240/49812]	Loss: 0.6314	LR: 0.004000
Training Epoch: 33 [26304/49812]	Loss: 0.8078	LR: 0.004000
Training Epoch: 33 [26368/49812]	Loss: 0.4988	LR: 0.004000
Training Epoch: 33 [26432/49812]	Loss: 0.4660	LR: 0.004000
Training Epoch: 33 [26496/49812]	Loss: 0.3891	LR: 0.004000
Training Epoch: 33 [26560/49812]	Loss: 0.7093	LR: 0.004000
Training Epoch: 33 [26624/49812]	Loss: 0.4428	LR: 0.004000
Training Epoch: 33 [26688/49812]	Loss: 0.6287	LR: 0.004000
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Training Epoch: 33 [27008/49812]	Loss: 0.5091	LR: 0.004000
Training Epoch: 33 [27072/49812]	Loss: 0.3516	LR: 0.004000
Training Epoch: 33 [27136/49812]	Loss: 0.7349	LR: 0.004000
Training Epoch: 33 [27200/49812]	Loss: 0.4906	LR: 0.004000
Training Epoch: 33 [27264/49812]	Loss: 0.4517	LR: 0.004000
Training Epoch: 33 [27328/49812]	Loss: 0.4170	LR: 0.004000
Training Epoch: 33 [27392/49812]	Loss: 0.6218	LR: 0.004000
Training Epoch: 33 [27456/49812]	Loss: 0.4536	LR: 0.004000
Training Epoch: 33 [27520/49812]	Loss: 0.5566	LR: 0.004000
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Training Epoch: 33 [27648/49812]	Loss: 0.6818	LR: 0.004000
Training Epoch: 33 [27712/49812]	Loss: 0.4036	LR: 0.004000
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Training Epoch: 33 [27904/49812]	Loss: 0.7671	LR: 0.004000
Training Epoch: 33 [27968/49812]	Loss: 0.4582	LR: 0.004000
Training Epoch: 33 [28032/49812]	Loss: 0.4755	LR: 0.004000
Training Epoch: 33 [28096/49812]	Loss: 0.2956	LR: 0.004000
Training Epoch: 33 [28160/49812]	Loss: 0.4883	LR: 0.004000
Training Epoch: 33 [28224/49812]	Loss: 0.4394	LR: 0.004000
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Training Epoch: 33 [28608/49812]	Loss: 0.4917	LR: 0.004000
Training Epoch: 33 [28672/49812]	Loss: 0.3466	LR: 0.004000
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Training Epoch: 33 [28864/49812]	Loss: 0.3668	LR: 0.004000
Training Epoch: 33 [28928/49812]	Loss: 0.5603	LR: 0.004000
Training Epoch: 33 [28992/49812]	Loss: 0.5574	LR: 0.004000
Training Epoch: 33 [29056/49812]	Loss: 0.4279	LR: 0.004000
Training Epoch: 33 [29120/49812]	Loss: 0.5888	LR: 0.004000
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Training Epoch: 33 [29440/49812]	Loss: 0.5816	LR: 0.004000
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Training Epoch: 33 [29760/49812]	Loss: 0.4440	LR: 0.004000
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Training Epoch: 33 [29952/49812]	Loss: 0.4584	LR: 0.004000
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Training Epoch: 33 [30272/49812]	Loss: 0.3634	LR: 0.004000
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Training Epoch: 33 [31232/49812]	Loss: 0.4728	LR: 0.004000
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Training Epoch: 33 [32832/49812]	Loss: 0.8262	LR: 0.004000
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Training Epoch: 33 [33088/49812]	Loss: 0.4385	LR: 0.004000
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Training Epoch: 33 [33344/49812]	Loss: 0.6250	LR: 0.004000
Training Epoch: 33 [33408/49812]	Loss: 0.6555	LR: 0.004000
Training Epoch: 33 [33472/49812]	Loss: 0.5300	LR: 0.004000
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Training Epoch: 33 [34304/49812]	Loss: 0.5667	LR: 0.004000
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Training Epoch: 33 [49812/49812]	Loss: 0.2746	LR: 0.004000
Epoch 33 - Average Train Loss: 0.4948, Train Accuracy: 0.8428
Epoch 33 training time consumed: 252.13s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0109, Accuracy: 0.7853, Time consumed:16.35s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-33-best.pth
Training Epoch: 34 [64/49812]	Loss: 0.4333	LR: 0.004000
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Training Epoch: 34 [3712/49812]	Loss: 0.5228	LR: 0.004000
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Training Epoch: 34 [3840/49812]	Loss: 0.5394	LR: 0.004000
Training Epoch: 34 [3904/49812]	Loss: 0.3290	LR: 0.004000
Training Epoch: 34 [3968/49812]	Loss: 0.5081	LR: 0.004000
Training Epoch: 34 [4032/49812]	Loss: 0.4178	LR: 0.004000
Training Epoch: 34 [4096/49812]	Loss: 0.5309	LR: 0.004000
Training Epoch: 34 [4160/49812]	Loss: 0.4143	LR: 0.004000
Training Epoch: 34 [4224/49812]	Loss: 0.4937	LR: 0.004000
Training Epoch: 34 [4288/49812]	Loss: 0.3471	LR: 0.004000
Training Epoch: 34 [4352/49812]	Loss: 0.4335	LR: 0.004000
Training Epoch: 34 [4416/49812]	Loss: 0.4837	LR: 0.004000
Training Epoch: 34 [4480/49812]	Loss: 0.5627	LR: 0.004000
Training Epoch: 34 [4544/49812]	Loss: 0.3220	LR: 0.004000
Training Epoch: 34 [4608/49812]	Loss: 0.3028	LR: 0.004000
Training Epoch: 34 [4672/49812]	Loss: 0.7056	LR: 0.004000
Training Epoch: 34 [4736/49812]	Loss: 0.6184	LR: 0.004000
Training Epoch: 34 [4800/49812]	Loss: 0.3803	LR: 0.004000
Training Epoch: 34 [4864/49812]	Loss: 0.4240	LR: 0.004000
Training Epoch: 34 [4928/49812]	Loss: 0.5186	LR: 0.004000
Training Epoch: 34 [4992/49812]	Loss: 0.6192	LR: 0.004000
Training Epoch: 34 [5056/49812]	Loss: 0.5152	LR: 0.004000
Training Epoch: 34 [5120/49812]	Loss: 0.5122	LR: 0.004000
Training Epoch: 34 [5184/49812]	Loss: 0.4871	LR: 0.004000
Training Epoch: 34 [5248/49812]	Loss: 0.3242	LR: 0.004000
Training Epoch: 34 [5312/49812]	Loss: 0.5672	LR: 0.004000
Training Epoch: 34 [5376/49812]	Loss: 0.6275	LR: 0.004000
Training Epoch: 34 [5440/49812]	Loss: 0.5696	LR: 0.004000
Training Epoch: 34 [5504/49812]	Loss: 0.5657	LR: 0.004000
Training Epoch: 34 [5568/49812]	Loss: 0.4221	LR: 0.004000
Training Epoch: 34 [5632/49812]	Loss: 0.4138	LR: 0.004000
Training Epoch: 34 [5696/49812]	Loss: 0.7313	LR: 0.004000
Training Epoch: 34 [5760/49812]	Loss: 0.3498	LR: 0.004000
Training Epoch: 34 [5824/49812]	Loss: 0.6291	LR: 0.004000
Training Epoch: 34 [5888/49812]	Loss: 0.5693	LR: 0.004000
Training Epoch: 34 [5952/49812]	Loss: 0.6178	LR: 0.004000
Training Epoch: 34 [6016/49812]	Loss: 0.4096	LR: 0.004000
Training Epoch: 34 [6080/49812]	Loss: 0.4959	LR: 0.004000
Training Epoch: 34 [6144/49812]	Loss: 0.3810	LR: 0.004000
Training Epoch: 34 [6208/49812]	Loss: 0.5833	LR: 0.004000
Training Epoch: 34 [6272/49812]	Loss: 0.5627	LR: 0.004000
Training Epoch: 34 [6336/49812]	Loss: 0.5104	LR: 0.004000
Training Epoch: 34 [6400/49812]	Loss: 0.3453	LR: 0.004000
Training Epoch: 34 [6464/49812]	Loss: 0.3289	LR: 0.004000
Training Epoch: 34 [6528/49812]	Loss: 0.5505	LR: 0.004000
Training Epoch: 34 [6592/49812]	Loss: 0.3345	LR: 0.004000
Training Epoch: 34 [6656/49812]	Loss: 0.4907	LR: 0.004000
Training Epoch: 34 [6720/49812]	Loss: 0.3929	LR: 0.004000
Training Epoch: 34 [6784/49812]	Loss: 0.4972	LR: 0.004000
Training Epoch: 34 [6848/49812]	Loss: 0.5040	LR: 0.004000
Training Epoch: 34 [6912/49812]	Loss: 0.2540	LR: 0.004000
Training Epoch: 34 [6976/49812]	Loss: 0.4137	LR: 0.004000
Training Epoch: 34 [7040/49812]	Loss: 0.4984	LR: 0.004000
Training Epoch: 34 [7104/49812]	Loss: 0.5068	LR: 0.004000
Training Epoch: 34 [7168/49812]	Loss: 0.4806	LR: 0.004000
Training Epoch: 34 [7232/49812]	Loss: 0.3191	LR: 0.004000
Training Epoch: 34 [7296/49812]	Loss: 0.3649	LR: 0.004000
Training Epoch: 34 [7360/49812]	Loss: 0.4708	LR: 0.004000
Training Epoch: 34 [7424/49812]	Loss: 0.5279	LR: 0.004000
Training Epoch: 34 [7488/49812]	Loss: 0.6367	LR: 0.004000
Training Epoch: 34 [7552/49812]	Loss: 0.5267	LR: 0.004000
Training Epoch: 34 [7616/49812]	Loss: 0.4605	LR: 0.004000
Training Epoch: 34 [7680/49812]	Loss: 0.4712	LR: 0.004000
Training Epoch: 34 [7744/49812]	Loss: 0.5426	LR: 0.004000
Training Epoch: 34 [7808/49812]	Loss: 0.4092	LR: 0.004000
Training Epoch: 34 [7872/49812]	Loss: 0.4132	LR: 0.004000
Training Epoch: 34 [7936/49812]	Loss: 0.5134	LR: 0.004000
Training Epoch: 34 [8000/49812]	Loss: 0.4464	LR: 0.004000
Training Epoch: 34 [8064/49812]	Loss: 0.5005	LR: 0.004000
Training Epoch: 34 [8128/49812]	Loss: 0.4993	LR: 0.004000
Training Epoch: 34 [8192/49812]	Loss: 0.3935	LR: 0.004000
Training Epoch: 34 [8256/49812]	Loss: 0.4087	LR: 0.004000
Training Epoch: 34 [8320/49812]	Loss: 0.3864	LR: 0.004000
Training Epoch: 34 [8384/49812]	Loss: 0.3400	LR: 0.004000
Training Epoch: 34 [8448/49812]	Loss: 0.3881	LR: 0.004000
Training Epoch: 34 [8512/49812]	Loss: 0.4700	LR: 0.004000
Training Epoch: 34 [8576/49812]	Loss: 0.5029	LR: 0.004000
Training Epoch: 34 [8640/49812]	Loss: 0.3687	LR: 0.004000
Training Epoch: 34 [8704/49812]	Loss: 0.4311	LR: 0.004000
Training Epoch: 34 [8768/49812]	Loss: 0.4184	LR: 0.004000
Training Epoch: 34 [8832/49812]	Loss: 0.5390	LR: 0.004000
Training Epoch: 34 [8896/49812]	Loss: 0.5750	LR: 0.004000
Training Epoch: 34 [8960/49812]	Loss: 0.4315	LR: 0.004000
Training Epoch: 34 [9024/49812]	Loss: 0.2983	LR: 0.004000
Training Epoch: 34 [9088/49812]	Loss: 0.6549	LR: 0.004000
Training Epoch: 34 [9152/49812]	Loss: 0.4767	LR: 0.004000
Training Epoch: 34 [9216/49812]	Loss: 0.5745	LR: 0.004000
Training Epoch: 34 [9280/49812]	Loss: 0.4676	LR: 0.004000
Training Epoch: 34 [9344/49812]	Loss: 0.3996	LR: 0.004000
Training Epoch: 34 [9408/49812]	Loss: 0.6257	LR: 0.004000
Training Epoch: 34 [9472/49812]	Loss: 0.5609	LR: 0.004000
Training Epoch: 34 [9536/49812]	Loss: 0.5681	LR: 0.004000
Training Epoch: 34 [9600/49812]	Loss: 0.5934	LR: 0.004000
Training Epoch: 34 [9664/49812]	Loss: 0.4408	LR: 0.004000
Training Epoch: 34 [9728/49812]	Loss: 0.4279	LR: 0.004000
Training Epoch: 34 [9792/49812]	Loss: 0.5044	LR: 0.004000
Training Epoch: 34 [9856/49812]	Loss: 0.6427	LR: 0.004000
Training Epoch: 34 [9920/49812]	Loss: 0.5104	LR: 0.004000
Training Epoch: 34 [9984/49812]	Loss: 0.4199	LR: 0.004000
Training Epoch: 34 [10048/49812]	Loss: 0.4741	LR: 0.004000
Training Epoch: 34 [10112/49812]	Loss: 0.5227	LR: 0.004000
Training Epoch: 34 [10176/49812]	Loss: 0.3619	LR: 0.004000
Training Epoch: 34 [10240/49812]	Loss: 0.4750	LR: 0.004000
Training Epoch: 34 [10304/49812]	Loss: 0.5048	LR: 0.004000
Training Epoch: 34 [10368/49812]	Loss: 0.4104	LR: 0.004000
Training Epoch: 34 [10432/49812]	Loss: 0.2824	LR: 0.004000
Training Epoch: 34 [10496/49812]	Loss: 0.4040	LR: 0.004000
Training Epoch: 34 [10560/49812]	Loss: 0.5384	LR: 0.004000
Training Epoch: 34 [10624/49812]	Loss: 0.4323	LR: 0.004000
Training Epoch: 34 [10688/49812]	Loss: 0.2722	LR: 0.004000
Training Epoch: 34 [10752/49812]	Loss: 0.6218	LR: 0.004000
Training Epoch: 34 [10816/49812]	Loss: 0.5136	LR: 0.004000
Training Epoch: 34 [10880/49812]	Loss: 0.6393	LR: 0.004000
Training Epoch: 34 [10944/49812]	Loss: 0.4867	LR: 0.004000
Training Epoch: 34 [11008/49812]	Loss: 0.4806	LR: 0.004000
Training Epoch: 34 [11072/49812]	Loss: 0.3772	LR: 0.004000
Training Epoch: 34 [11136/49812]	Loss: 0.3867	LR: 0.004000
Training Epoch: 34 [11200/49812]	Loss: 0.5937	LR: 0.004000
Training Epoch: 34 [11264/49812]	Loss: 0.3651	LR: 0.004000
Training Epoch: 34 [11328/49812]	Loss: 0.6161	LR: 0.004000
Training Epoch: 34 [11392/49812]	Loss: 0.5992	LR: 0.004000
Training Epoch: 34 [11456/49812]	Loss: 0.5637	LR: 0.004000
Training Epoch: 34 [11520/49812]	Loss: 0.3034	LR: 0.004000
Training Epoch: 34 [11584/49812]	Loss: 0.6801	LR: 0.004000
Training Epoch: 34 [11648/49812]	Loss: 0.5722	LR: 0.004000
Training Epoch: 34 [11712/49812]	Loss: 0.5662	LR: 0.004000
Training Epoch: 34 [11776/49812]	Loss: 0.4527	LR: 0.004000
Training Epoch: 34 [11840/49812]	Loss: 0.7801	LR: 0.004000
Training Epoch: 34 [11904/49812]	Loss: 0.3953	LR: 0.004000
Training Epoch: 34 [11968/49812]	Loss: 0.5458	LR: 0.004000
Training Epoch: 34 [12032/49812]	Loss: 0.3439	LR: 0.004000
Training Epoch: 34 [12096/49812]	Loss: 0.4352	LR: 0.004000
Training Epoch: 34 [12160/49812]	Loss: 0.3783	LR: 0.004000
Training Epoch: 34 [12224/49812]	Loss: 0.3888	LR: 0.004000
Training Epoch: 34 [12288/49812]	Loss: 0.4570	LR: 0.004000
Training Epoch: 34 [12352/49812]	Loss: 0.4209	LR: 0.004000
Training Epoch: 34 [12416/49812]	Loss: 0.5089	LR: 0.004000
Training Epoch: 34 [12480/49812]	Loss: 0.6171	LR: 0.004000
Training Epoch: 34 [12544/49812]	Loss: 0.4021	LR: 0.004000
Training Epoch: 34 [12608/49812]	Loss: 0.5140	LR: 0.004000
Training Epoch: 34 [12672/49812]	Loss: 0.4040	LR: 0.004000
Training Epoch: 34 [12736/49812]	Loss: 0.4439	LR: 0.004000
Training Epoch: 34 [12800/49812]	Loss: 0.6724	LR: 0.004000
Training Epoch: 34 [12864/49812]	Loss: 0.5554	LR: 0.004000
Training Epoch: 34 [12928/49812]	Loss: 0.4558	LR: 0.004000
Training Epoch: 34 [12992/49812]	Loss: 0.4966	LR: 0.004000
Training Epoch: 34 [13056/49812]	Loss: 0.4695	LR: 0.004000
Training Epoch: 34 [13120/49812]	Loss: 0.5493	LR: 0.004000
Training Epoch: 34 [13184/49812]	Loss: 0.3738	LR: 0.004000
Training Epoch: 34 [13248/49812]	Loss: 0.4486	LR: 0.004000
Training Epoch: 34 [13312/49812]	Loss: 0.5662	LR: 0.004000
Training Epoch: 34 [13376/49812]	Loss: 0.4304	LR: 0.004000
Training Epoch: 34 [13440/49812]	Loss: 0.3353	LR: 0.004000
Training Epoch: 34 [13504/49812]	Loss: 0.4949	LR: 0.004000
Training Epoch: 34 [13568/49812]	Loss: 0.2891	LR: 0.004000
Training Epoch: 34 [13632/49812]	Loss: 0.4366	LR: 0.004000
Training Epoch: 34 [13696/49812]	Loss: 0.4827	LR: 0.004000
Training Epoch: 34 [13760/49812]	Loss: 0.4918	LR: 0.004000
Training Epoch: 34 [13824/49812]	Loss: 0.5043	LR: 0.004000
Training Epoch: 34 [13888/49812]	Loss: 0.3944	LR: 0.004000
Training Epoch: 34 [13952/49812]	Loss: 0.3906	LR: 0.004000
Training Epoch: 34 [14016/49812]	Loss: 0.5164	LR: 0.004000
Training Epoch: 34 [14080/49812]	Loss: 0.3295	LR: 0.004000
Training Epoch: 34 [14144/49812]	Loss: 0.5742	LR: 0.004000
Training Epoch: 34 [14208/49812]	Loss: 0.5590	LR: 0.004000
Training Epoch: 34 [14272/49812]	Loss: 0.3873	LR: 0.004000
Training Epoch: 34 [14336/49812]	Loss: 0.5413	LR: 0.004000
Training Epoch: 34 [14400/49812]	Loss: 0.3425	LR: 0.004000
Training Epoch: 34 [14464/49812]	Loss: 0.5821	LR: 0.004000
Training Epoch: 34 [14528/49812]	Loss: 0.5686	LR: 0.004000
Training Epoch: 34 [14592/49812]	Loss: 0.5673	LR: 0.004000
Training Epoch: 34 [14656/49812]	Loss: 0.6478	LR: 0.004000
Training Epoch: 34 [14720/49812]	Loss: 0.4143	LR: 0.004000
Training Epoch: 34 [14784/49812]	Loss: 0.4693	LR: 0.004000
Training Epoch: 34 [14848/49812]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [14912/49812]	Loss: 0.5795	LR: 0.004000
Training Epoch: 34 [14976/49812]	Loss: 0.3750	LR: 0.004000
Training Epoch: 34 [15040/49812]	Loss: 0.3279	LR: 0.004000
Training Epoch: 34 [15104/49812]	Loss: 0.5740	LR: 0.004000
Training Epoch: 34 [15168/49812]	Loss: 0.4609	LR: 0.004000
Training Epoch: 34 [15232/49812]	Loss: 0.4455	LR: 0.004000
Training Epoch: 34 [15296/49812]	Loss: 0.4795	LR: 0.004000
Training Epoch: 34 [15360/49812]	Loss: 0.4554	LR: 0.004000
Training Epoch: 34 [15424/49812]	Loss: 0.4537	LR: 0.004000
Training Epoch: 34 [15488/49812]	Loss: 0.2691	LR: 0.004000
Training Epoch: 34 [15552/49812]	Loss: 0.4236	LR: 0.004000
Training Epoch: 34 [15616/49812]	Loss: 0.4472	LR: 0.004000
Training Epoch: 34 [15680/49812]	Loss: 0.3664	LR: 0.004000
Training Epoch: 34 [15744/49812]	Loss: 0.5809	LR: 0.004000
Training Epoch: 34 [15808/49812]	Loss: 0.6373	LR: 0.004000
Training Epoch: 34 [15872/49812]	Loss: 0.4639	LR: 0.004000
Training Epoch: 34 [15936/49812]	Loss: 0.4029	LR: 0.004000
Training Epoch: 34 [16000/49812]	Loss: 0.4628	LR: 0.004000
Training Epoch: 34 [16064/49812]	Loss: 0.4551	LR: 0.004000
Training Epoch: 34 [16128/49812]	Loss: 0.4228	LR: 0.004000
Training Epoch: 34 [16192/49812]	Loss: 0.5203	LR: 0.004000
Training Epoch: 34 [16256/49812]	Loss: 0.4215	LR: 0.004000
Training Epoch: 34 [16320/49812]	Loss: 0.3565	LR: 0.004000
Training Epoch: 34 [16384/49812]	Loss: 0.3229	LR: 0.004000
Training Epoch: 34 [16448/49812]	Loss: 0.4561	LR: 0.004000
Training Epoch: 34 [16512/49812]	Loss: 0.3515	LR: 0.004000
Training Epoch: 34 [16576/49812]	Loss: 0.3869	LR: 0.004000
Training Epoch: 34 [16640/49812]	Loss: 0.3999	LR: 0.004000
Training Epoch: 34 [16704/49812]	Loss: 0.4036	LR: 0.004000
Training Epoch: 34 [16768/49812]	Loss: 0.8612	LR: 0.004000
Training Epoch: 34 [16832/49812]	Loss: 0.6748	LR: 0.004000
Training Epoch: 34 [16896/49812]	Loss: 0.4440	LR: 0.004000
Training Epoch: 34 [16960/49812]	Loss: 0.4286	LR: 0.004000
Training Epoch: 34 [17024/49812]	Loss: 0.4216	LR: 0.004000
Training Epoch: 34 [17088/49812]	Loss: 0.5154	LR: 0.004000
Training Epoch: 34 [17152/49812]	Loss: 0.5922	LR: 0.004000
Training Epoch: 34 [17216/49812]	Loss: 0.3301	LR: 0.004000
Training Epoch: 34 [17280/49812]	Loss: 0.4545	LR: 0.004000
Training Epoch: 34 [17344/49812]	Loss: 0.4671	LR: 0.004000
Training Epoch: 34 [17408/49812]	Loss: 0.4525	LR: 0.004000
Training Epoch: 34 [17472/49812]	Loss: 0.4301	LR: 0.004000
Training Epoch: 34 [17536/49812]	Loss: 0.4176	LR: 0.004000
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Training Epoch: 34 [17664/49812]	Loss: 0.4391	LR: 0.004000
Training Epoch: 34 [17728/49812]	Loss: 0.3786	LR: 0.004000
Training Epoch: 34 [17792/49812]	Loss: 0.6133	LR: 0.004000
Training Epoch: 34 [17856/49812]	Loss: 0.6925	LR: 0.004000
Training Epoch: 34 [17920/49812]	Loss: 0.3722	LR: 0.004000
Training Epoch: 34 [17984/49812]	Loss: 0.4468	LR: 0.004000
Training Epoch: 34 [18048/49812]	Loss: 0.5099	LR: 0.004000
Training Epoch: 34 [18112/49812]	Loss: 0.4680	LR: 0.004000
Training Epoch: 34 [18176/49812]	Loss: 0.4828	LR: 0.004000
Training Epoch: 34 [18240/49812]	Loss: 0.5679	LR: 0.004000
Training Epoch: 34 [18304/49812]	Loss: 0.6123	LR: 0.004000
Training Epoch: 34 [18368/49812]	Loss: 0.4839	LR: 0.004000
Training Epoch: 34 [18432/49812]	Loss: 0.4802	LR: 0.004000
Training Epoch: 34 [18496/49812]	Loss: 0.4869	LR: 0.004000
Training Epoch: 34 [18560/49812]	Loss: 0.5036	LR: 0.004000
Training Epoch: 34 [18624/49812]	Loss: 0.4581	LR: 0.004000
Training Epoch: 34 [18688/49812]	Loss: 0.3627	LR: 0.004000
Training Epoch: 34 [18752/49812]	Loss: 0.4742	LR: 0.004000
Training Epoch: 34 [18816/49812]	Loss: 0.3824	LR: 0.004000
Training Epoch: 34 [18880/49812]	Loss: 0.5598	LR: 0.004000
Training Epoch: 34 [18944/49812]	Loss: 0.4847	LR: 0.004000
Training Epoch: 34 [19008/49812]	Loss: 0.4311	LR: 0.004000
Training Epoch: 34 [19072/49812]	Loss: 0.4195	LR: 0.004000
Training Epoch: 34 [19136/49812]	Loss: 0.3987	LR: 0.004000
Training Epoch: 34 [19200/49812]	Loss: 0.5394	LR: 0.004000
Training Epoch: 34 [19264/49812]	Loss: 0.4605	LR: 0.004000
Training Epoch: 34 [19328/49812]	Loss: 0.6556	LR: 0.004000
Training Epoch: 34 [19392/49812]	Loss: 0.4397	LR: 0.004000
Training Epoch: 34 [19456/49812]	Loss: 0.3447	LR: 0.004000
Training Epoch: 34 [19520/49812]	Loss: 0.5790	LR: 0.004000
Training Epoch: 34 [19584/49812]	Loss: 0.2905	LR: 0.004000
Training Epoch: 34 [19648/49812]	Loss: 0.4005	LR: 0.004000
Training Epoch: 34 [19712/49812]	Loss: 0.5487	LR: 0.004000
Training Epoch: 34 [19776/49812]	Loss: 0.5554	LR: 0.004000
Training Epoch: 34 [19840/49812]	Loss: 0.4639	LR: 0.004000
Training Epoch: 34 [19904/49812]	Loss: 0.5155	LR: 0.004000
Training Epoch: 34 [19968/49812]	Loss: 0.3299	LR: 0.004000
Training Epoch: 34 [20032/49812]	Loss: 0.5789	LR: 0.004000
Training Epoch: 34 [20096/49812]	Loss: 0.4599	LR: 0.004000
Training Epoch: 34 [20160/49812]	Loss: 0.5036	LR: 0.004000
Training Epoch: 34 [20224/49812]	Loss: 0.4372	LR: 0.004000
Training Epoch: 34 [20288/49812]	Loss: 0.4877	LR: 0.004000
Training Epoch: 34 [20352/49812]	Loss: 0.3593	LR: 0.004000
Training Epoch: 34 [20416/49812]	Loss: 0.5346	LR: 0.004000
Training Epoch: 34 [20480/49812]	Loss: 0.3888	LR: 0.004000
Training Epoch: 34 [20544/49812]	Loss: 0.4141	LR: 0.004000
Training Epoch: 34 [20608/49812]	Loss: 0.4600	LR: 0.004000
Training Epoch: 34 [20672/49812]	Loss: 0.5537	LR: 0.004000
Training Epoch: 34 [20736/49812]	Loss: 0.3568	LR: 0.004000
Training Epoch: 34 [20800/49812]	Loss: 0.5715	LR: 0.004000
Training Epoch: 34 [20864/49812]	Loss: 0.6592	LR: 0.004000
Training Epoch: 34 [20928/49812]	Loss: 0.4318	LR: 0.004000
Training Epoch: 34 [20992/49812]	Loss: 0.5179	LR: 0.004000
Training Epoch: 34 [21056/49812]	Loss: 0.5259	LR: 0.004000
Training Epoch: 34 [21120/49812]	Loss: 0.4767	LR: 0.004000
Training Epoch: 34 [21184/49812]	Loss: 0.4088	LR: 0.004000
Training Epoch: 34 [21248/49812]	Loss: 0.3729	LR: 0.004000
Training Epoch: 34 [21312/49812]	Loss: 0.6043	LR: 0.004000
Training Epoch: 34 [21376/49812]	Loss: 0.5630	LR: 0.004000
Training Epoch: 34 [21440/49812]	Loss: 0.5254	LR: 0.004000
Training Epoch: 34 [21504/49812]	Loss: 0.4637	LR: 0.004000
Training Epoch: 34 [21568/49812]	Loss: 0.5443	LR: 0.004000
Training Epoch: 34 [21632/49812]	Loss: 0.3951	LR: 0.004000
Training Epoch: 34 [21696/49812]	Loss: 0.4565	LR: 0.004000
Training Epoch: 34 [21760/49812]	Loss: 0.5832	LR: 0.004000
Training Epoch: 34 [21824/49812]	Loss: 0.3950	LR: 0.004000
Training Epoch: 34 [21888/49812]	Loss: 0.5249	LR: 0.004000
Training Epoch: 34 [21952/49812]	Loss: 0.3013	LR: 0.004000
Training Epoch: 34 [22016/49812]	Loss: 0.3550	LR: 0.004000
Training Epoch: 34 [22080/49812]	Loss: 0.4196	LR: 0.004000
Training Epoch: 34 [22144/49812]	Loss: 0.5439	LR: 0.004000
Training Epoch: 34 [22208/49812]	Loss: 0.4683	LR: 0.004000
Training Epoch: 34 [22272/49812]	Loss: 0.4265	LR: 0.004000
Training Epoch: 34 [22336/49812]	Loss: 0.5445	LR: 0.004000
Training Epoch: 34 [22400/49812]	Loss: 0.5154	LR: 0.004000
Training Epoch: 34 [22464/49812]	Loss: 0.3323	LR: 0.004000
Training Epoch: 34 [22528/49812]	Loss: 0.4315	LR: 0.004000
Training Epoch: 34 [22592/49812]	Loss: 0.2900	LR: 0.004000
Training Epoch: 34 [22656/49812]	Loss: 0.5046	LR: 0.004000
Training Epoch: 34 [22720/49812]	Loss: 0.4192	LR: 0.004000
Training Epoch: 34 [22784/49812]	Loss: 0.5218	LR: 0.004000
Training Epoch: 34 [22848/49812]	Loss: 0.5601	LR: 0.004000
Training Epoch: 34 [22912/49812]	Loss: 0.4089	LR: 0.004000
Training Epoch: 34 [22976/49812]	Loss: 0.6356	LR: 0.004000
Training Epoch: 34 [23040/49812]	Loss: 0.6125	LR: 0.004000
Training Epoch: 34 [23104/49812]	Loss: 0.4609	LR: 0.004000
Training Epoch: 34 [23168/49812]	Loss: 0.5539	LR: 0.004000
Training Epoch: 34 [23232/49812]	Loss: 0.2967	LR: 0.004000
Training Epoch: 34 [23296/49812]	Loss: 0.3311	LR: 0.004000
Training Epoch: 34 [23360/49812]	Loss: 0.2363	LR: 0.004000
Training Epoch: 34 [23424/49812]	Loss: 0.5623	LR: 0.004000
Training Epoch: 34 [23488/49812]	Loss: 0.6911	LR: 0.004000
Training Epoch: 34 [23552/49812]	Loss: 0.4770	LR: 0.004000
Training Epoch: 34 [23616/49812]	Loss: 0.4641	LR: 0.004000
Training Epoch: 34 [23680/49812]	Loss: 0.4797	LR: 0.004000
Training Epoch: 34 [23744/49812]	Loss: 0.4447	LR: 0.004000
Training Epoch: 34 [23808/49812]	Loss: 0.5842	LR: 0.004000
Training Epoch: 34 [23872/49812]	Loss: 0.2764	LR: 0.004000
Training Epoch: 34 [23936/49812]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [24000/49812]	Loss: 0.5864	LR: 0.004000
Training Epoch: 34 [24064/49812]	Loss: 0.4774	LR: 0.004000
Training Epoch: 34 [24128/49812]	Loss: 0.5885	LR: 0.004000
Training Epoch: 34 [24192/49812]	Loss: 0.5630	LR: 0.004000
Training Epoch: 34 [24256/49812]	Loss: 0.4465	LR: 0.004000
Training Epoch: 34 [24320/49812]	Loss: 0.5557	LR: 0.004000
Training Epoch: 34 [24384/49812]	Loss: 0.4738	LR: 0.004000
Training Epoch: 34 [24448/49812]	Loss: 0.4532	LR: 0.004000
Training Epoch: 34 [24512/49812]	Loss: 0.5669	LR: 0.004000
Training Epoch: 34 [24576/49812]	Loss: 0.5694	LR: 0.004000
Training Epoch: 34 [24640/49812]	Loss: 0.3327	LR: 0.004000
Training Epoch: 34 [24704/49812]	Loss: 0.5053	LR: 0.004000
Training Epoch: 34 [24768/49812]	Loss: 0.6727	LR: 0.004000
Training Epoch: 34 [24832/49812]	Loss: 0.4646	LR: 0.004000
Training Epoch: 34 [24896/49812]	Loss: 0.5172	LR: 0.004000
Training Epoch: 34 [24960/49812]	Loss: 0.2899	LR: 0.004000
Training Epoch: 34 [25024/49812]	Loss: 0.2873	LR: 0.004000
Training Epoch: 34 [25088/49812]	Loss: 0.5181	LR: 0.004000
Training Epoch: 34 [25152/49812]	Loss: 0.4547	LR: 0.004000
Training Epoch: 34 [25216/49812]	Loss: 0.6722	LR: 0.004000
Training Epoch: 34 [25280/49812]	Loss: 0.5037	LR: 0.004000
Training Epoch: 34 [25344/49812]	Loss: 0.5583	LR: 0.004000
Training Epoch: 34 [25408/49812]	Loss: 0.5875	LR: 0.004000
Training Epoch: 34 [25472/49812]	Loss: 0.5228	LR: 0.004000
Training Epoch: 34 [25536/49812]	Loss: 0.5073	LR: 0.004000
Training Epoch: 34 [25600/49812]	Loss: 0.6251	LR: 0.004000
Training Epoch: 34 [25664/49812]	Loss: 0.4028	LR: 0.004000
Training Epoch: 34 [25728/49812]	Loss: 0.4519	LR: 0.004000
Training Epoch: 34 [25792/49812]	Loss: 0.3561	LR: 0.004000
Training Epoch: 34 [25856/49812]	Loss: 0.4138	LR: 0.004000
Training Epoch: 34 [25920/49812]	Loss: 0.4452	LR: 0.004000
Training Epoch: 34 [25984/49812]	Loss: 0.5311	LR: 0.004000
Training Epoch: 34 [26048/49812]	Loss: 0.5093	LR: 0.004000
Training Epoch: 34 [26112/49812]	Loss: 0.4978	LR: 0.004000
Training Epoch: 34 [26176/49812]	Loss: 0.4299	LR: 0.004000
Training Epoch: 34 [26240/49812]	Loss: 0.4094	LR: 0.004000
Training Epoch: 34 [26304/49812]	Loss: 0.4399	LR: 0.004000
Training Epoch: 34 [26368/49812]	Loss: 0.5564	LR: 0.004000
Training Epoch: 34 [26432/49812]	Loss: 0.4721	LR: 0.004000
Training Epoch: 34 [26496/49812]	Loss: 0.6792	LR: 0.004000
Training Epoch: 34 [26560/49812]	Loss: 0.5298	LR: 0.004000
Training Epoch: 34 [26624/49812]	Loss: 0.4764	LR: 0.004000
Training Epoch: 34 [26688/49812]	Loss: 0.4516	LR: 0.004000
Training Epoch: 34 [26752/49812]	Loss: 0.3969	LR: 0.004000
Training Epoch: 34 [26816/49812]	Loss: 0.5849	LR: 0.004000
Training Epoch: 34 [26880/49812]	Loss: 0.6273	LR: 0.004000
Training Epoch: 34 [26944/49812]	Loss: 0.5094	LR: 0.004000
Training Epoch: 34 [27008/49812]	Loss: 0.4989	LR: 0.004000
Training Epoch: 34 [27072/49812]	Loss: 0.3440	LR: 0.004000
Training Epoch: 34 [27136/49812]	Loss: 0.7037	LR: 0.004000
Training Epoch: 34 [27200/49812]	Loss: 0.5476	LR: 0.004000
Training Epoch: 34 [27264/49812]	Loss: 0.4576	LR: 0.004000
Training Epoch: 34 [27328/49812]	Loss: 0.5060	LR: 0.004000
Training Epoch: 34 [27392/49812]	Loss: 0.5251	LR: 0.004000
Training Epoch: 34 [27456/49812]	Loss: 0.5117	LR: 0.004000
Training Epoch: 34 [27520/49812]	Loss: 0.5703	LR: 0.004000
Training Epoch: 34 [27584/49812]	Loss: 0.4639	LR: 0.004000
Training Epoch: 34 [27648/49812]	Loss: 0.3158	LR: 0.004000
Training Epoch: 34 [27712/49812]	Loss: 0.2856	LR: 0.004000
Training Epoch: 34 [27776/49812]	Loss: 0.3996	LR: 0.004000
Training Epoch: 34 [27840/49812]	Loss: 0.3955	LR: 0.004000
Training Epoch: 34 [27904/49812]	Loss: 0.4960	LR: 0.004000
Training Epoch: 34 [27968/49812]	Loss: 0.6167	LR: 0.004000
Training Epoch: 34 [28032/49812]	Loss: 0.4456	LR: 0.004000
Training Epoch: 34 [28096/49812]	Loss: 0.5920	LR: 0.004000
Training Epoch: 34 [28160/49812]	Loss: 0.6557	LR: 0.004000
Training Epoch: 34 [28224/49812]	Loss: 0.6318	LR: 0.004000
Training Epoch: 34 [28288/49812]	Loss: 0.4197	LR: 0.004000
Training Epoch: 34 [28352/49812]	Loss: 0.2457	LR: 0.004000
Training Epoch: 34 [28416/49812]	Loss: 0.4936	LR: 0.004000
Training Epoch: 34 [28480/49812]	Loss: 0.4362	LR: 0.004000
Training Epoch: 34 [28544/49812]	Loss: 0.3746	LR: 0.004000
Training Epoch: 34 [28608/49812]	Loss: 0.3716	LR: 0.004000
Training Epoch: 34 [28672/49812]	Loss: 0.3349	LR: 0.004000
Training Epoch: 34 [28736/49812]	Loss: 0.4749	LR: 0.004000
Training Epoch: 34 [28800/49812]	Loss: 0.4825	LR: 0.004000
Training Epoch: 34 [28864/49812]	Loss: 0.6359	LR: 0.004000
Training Epoch: 34 [28928/49812]	Loss: 0.2771	LR: 0.004000
Training Epoch: 34 [28992/49812]	Loss: 0.4011	LR: 0.004000
Training Epoch: 34 [29056/49812]	Loss: 0.4297	LR: 0.004000
Training Epoch: 34 [29120/49812]	Loss: 0.5036	LR: 0.004000
Training Epoch: 34 [29184/49812]	Loss: 0.3671	LR: 0.004000
Training Epoch: 34 [29248/49812]	Loss: 0.4353	LR: 0.004000
Training Epoch: 34 [29312/49812]	Loss: 0.6052	LR: 0.004000
Training Epoch: 34 [29376/49812]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [29440/49812]	Loss: 0.6011	LR: 0.004000
Training Epoch: 34 [29504/49812]	Loss: 0.3757	LR: 0.004000
Training Epoch: 34 [29568/49812]	Loss: 0.5304	LR: 0.004000
Training Epoch: 34 [29632/49812]	Loss: 0.3655	LR: 0.004000
Training Epoch: 34 [29696/49812]	Loss: 0.4549	LR: 0.004000
Training Epoch: 34 [29760/49812]	Loss: 0.3336	LR: 0.004000
Training Epoch: 34 [29824/49812]	Loss: 0.3394	LR: 0.004000
Training Epoch: 34 [29888/49812]	Loss: 0.3130	LR: 0.004000
Training Epoch: 34 [29952/49812]	Loss: 0.3725	LR: 0.004000
Training Epoch: 34 [30016/49812]	Loss: 0.6326	LR: 0.004000
Training Epoch: 34 [30080/49812]	Loss: 0.4737	LR: 0.004000
Training Epoch: 34 [30144/49812]	Loss: 0.5945	LR: 0.004000
Training Epoch: 34 [30208/49812]	Loss: 0.3120	LR: 0.004000
Training Epoch: 34 [30272/49812]	Loss: 0.4109	LR: 0.004000
Training Epoch: 34 [30336/49812]	Loss: 0.3457	LR: 0.004000
Training Epoch: 34 [30400/49812]	Loss: 0.3977	LR: 0.004000
Training Epoch: 34 [30464/49812]	Loss: 0.6768	LR: 0.004000
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Training Epoch: 34 [30592/49812]	Loss: 0.5772	LR: 0.004000
Training Epoch: 34 [30656/49812]	Loss: 0.4037	LR: 0.004000
Training Epoch: 34 [30720/49812]	Loss: 0.3977	LR: 0.004000
Training Epoch: 34 [30784/49812]	Loss: 0.4082	LR: 0.004000
Training Epoch: 34 [30848/49812]	Loss: 0.3158	LR: 0.004000
Training Epoch: 34 [30912/49812]	Loss: 0.5113	LR: 0.004000
Training Epoch: 34 [30976/49812]	Loss: 0.4113	LR: 0.004000
Training Epoch: 34 [31040/49812]	Loss: 0.4683	LR: 0.004000
Training Epoch: 34 [31104/49812]	Loss: 0.4018	LR: 0.004000
Training Epoch: 34 [31168/49812]	Loss: 0.4961	LR: 0.004000
Training Epoch: 34 [31232/49812]	Loss: 0.6177	LR: 0.004000
Training Epoch: 34 [31296/49812]	Loss: 0.4714	LR: 0.004000
Training Epoch: 34 [31360/49812]	Loss: 0.4042	LR: 0.004000
Training Epoch: 34 [31424/49812]	Loss: 0.3237	LR: 0.004000
Training Epoch: 34 [31488/49812]	Loss: 0.6822	LR: 0.004000
Training Epoch: 34 [31552/49812]	Loss: 0.5493	LR: 0.004000
Training Epoch: 34 [31616/49812]	Loss: 0.3942	LR: 0.004000
Training Epoch: 34 [31680/49812]	Loss: 0.2821	LR: 0.004000
Training Epoch: 34 [31744/49812]	Loss: 0.3868	LR: 0.004000
Training Epoch: 34 [31808/49812]	Loss: 0.3777	LR: 0.004000
Training Epoch: 34 [31872/49812]	Loss: 0.5221	LR: 0.004000
Training Epoch: 34 [31936/49812]	Loss: 0.3501	LR: 0.004000
Training Epoch: 34 [32000/49812]	Loss: 0.2888	LR: 0.004000
Training Epoch: 34 [32064/49812]	Loss: 0.3718	LR: 0.004000
Training Epoch: 34 [32128/49812]	Loss: 0.5419	LR: 0.004000
Training Epoch: 34 [32192/49812]	Loss: 0.5157	LR: 0.004000
Training Epoch: 34 [32256/49812]	Loss: 0.5288	LR: 0.004000
Training Epoch: 34 [32320/49812]	Loss: 0.5219	LR: 0.004000
Training Epoch: 34 [32384/49812]	Loss: 0.3473	LR: 0.004000
Training Epoch: 34 [32448/49812]	Loss: 0.6775	LR: 0.004000
Training Epoch: 34 [32512/49812]	Loss: 0.3168	LR: 0.004000
Training Epoch: 34 [32576/49812]	Loss: 0.8266	LR: 0.004000
Training Epoch: 34 [32640/49812]	Loss: 0.5978	LR: 0.004000
Training Epoch: 34 [32704/49812]	Loss: 0.4849	LR: 0.004000
Training Epoch: 34 [32768/49812]	Loss: 0.5274	LR: 0.004000
Training Epoch: 34 [32832/49812]	Loss: 0.5163	LR: 0.004000
Training Epoch: 34 [32896/49812]	Loss: 0.4689	LR: 0.004000
Training Epoch: 34 [32960/49812]	Loss: 0.3711	LR: 0.004000
Training Epoch: 34 [33024/49812]	Loss: 0.4446	LR: 0.004000
Training Epoch: 34 [33088/49812]	Loss: 0.4400	LR: 0.004000
Training Epoch: 34 [33152/49812]	Loss: 0.3961	LR: 0.004000
Training Epoch: 34 [33216/49812]	Loss: 0.5588	LR: 0.004000
Training Epoch: 34 [33280/49812]	Loss: 0.5193	LR: 0.004000
Training Epoch: 34 [33344/49812]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [33408/49812]	Loss: 0.4882	LR: 0.004000
Training Epoch: 34 [33472/49812]	Loss: 0.4500	LR: 0.004000
Training Epoch: 34 [33536/49812]	Loss: 0.4716	LR: 0.004000
Training Epoch: 34 [33600/49812]	Loss: 0.6457	LR: 0.004000
Training Epoch: 34 [33664/49812]	Loss: 0.7188	LR: 0.004000
Training Epoch: 34 [33728/49812]	Loss: 0.4356	LR: 0.004000
Training Epoch: 34 [33792/49812]	Loss: 0.7647	LR: 0.004000
Training Epoch: 34 [33856/49812]	Loss: 0.4995	LR: 0.004000
Training Epoch: 34 [33920/49812]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [33984/49812]	Loss: 0.3546	LR: 0.004000
Training Epoch: 34 [34048/49812]	Loss: 0.4887	LR: 0.004000
Training Epoch: 34 [34112/49812]	Loss: 0.3944	LR: 0.004000
Training Epoch: 34 [34176/49812]	Loss: 0.4711	LR: 0.004000
Training Epoch: 34 [34240/49812]	Loss: 0.4530	LR: 0.004000
Training Epoch: 34 [34304/49812]	Loss: 0.4128	LR: 0.004000
Training Epoch: 34 [34368/49812]	Loss: 0.5854	LR: 0.004000
Training Epoch: 34 [34432/49812]	Loss: 0.4662	LR: 0.004000
Training Epoch: 34 [34496/49812]	Loss: 0.5218	LR: 0.004000
Training Epoch: 34 [34560/49812]	Loss: 0.5045	LR: 0.004000
Training Epoch: 34 [34624/49812]	Loss: 0.4524	LR: 0.004000
Training Epoch: 34 [34688/49812]	Loss: 0.4838	LR: 0.004000
Training Epoch: 34 [34752/49812]	Loss: 0.6419	LR: 0.004000
Training Epoch: 34 [34816/49812]	Loss: 0.5051	LR: 0.004000
Training Epoch: 34 [34880/49812]	Loss: 0.6402	LR: 0.004000
Training Epoch: 34 [34944/49812]	Loss: 0.6855	LR: 0.004000
Training Epoch: 34 [35008/49812]	Loss: 0.5492	LR: 0.004000
Training Epoch: 34 [35072/49812]	Loss: 0.5049	LR: 0.004000
Training Epoch: 34 [35136/49812]	Loss: 0.2591	LR: 0.004000
Training Epoch: 34 [35200/49812]	Loss: 0.3980	LR: 0.004000
Training Epoch: 34 [35264/49812]	Loss: 0.5224	LR: 0.004000
Training Epoch: 34 [35328/49812]	Loss: 0.7490	LR: 0.004000
Training Epoch: 34 [35392/49812]	Loss: 0.4882	LR: 0.004000
Training Epoch: 34 [35456/49812]	Loss: 0.4743	LR: 0.004000
Training Epoch: 34 [35520/49812]	Loss: 0.3367	LR: 0.004000
Training Epoch: 34 [35584/49812]	Loss: 0.4473	LR: 0.004000
Training Epoch: 34 [35648/49812]	Loss: 0.4730	LR: 0.004000
Training Epoch: 34 [35712/49812]	Loss: 0.6494	LR: 0.004000
Training Epoch: 34 [35776/49812]	Loss: 0.5525	LR: 0.004000
Training Epoch: 34 [35840/49812]	Loss: 0.4862	LR: 0.004000
Training Epoch: 34 [35904/49812]	Loss: 0.3767	LR: 0.004000
Training Epoch: 34 [35968/49812]	Loss: 0.7164	LR: 0.004000
Training Epoch: 34 [36032/49812]	Loss: 0.6631	LR: 0.004000
Training Epoch: 34 [36096/49812]	Loss: 0.5666	LR: 0.004000
Training Epoch: 34 [36160/49812]	Loss: 0.5997	LR: 0.004000
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Training Epoch: 34 [36352/49812]	Loss: 0.3790	LR: 0.004000
Training Epoch: 34 [36416/49812]	Loss: 0.3102	LR: 0.004000
Training Epoch: 34 [36480/49812]	Loss: 0.4412	LR: 0.004000
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Training Epoch: 34 [36608/49812]	Loss: 0.5156	LR: 0.004000
Training Epoch: 34 [36672/49812]	Loss: 0.4792	LR: 0.004000
Training Epoch: 34 [36736/49812]	Loss: 0.4953	LR: 0.004000
Training Epoch: 34 [36800/49812]	Loss: 0.6240	LR: 0.004000
Training Epoch: 34 [36864/49812]	Loss: 0.4208	LR: 0.004000
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Training Epoch: 34 [36992/49812]	Loss: 0.4572	LR: 0.004000
Training Epoch: 34 [37056/49812]	Loss: 0.4962	LR: 0.004000
Training Epoch: 34 [37120/49812]	Loss: 0.3961	LR: 0.004000
Training Epoch: 34 [37184/49812]	Loss: 0.5997	LR: 0.004000
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Training Epoch: 34 [37568/49812]	Loss: 0.7684	LR: 0.004000
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Training Epoch: 34 [37696/49812]	Loss: 0.2904	LR: 0.004000
Training Epoch: 34 [37760/49812]	Loss: 0.5656	LR: 0.004000
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Training Epoch: 34 [37888/49812]	Loss: 0.4507	LR: 0.004000
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Training Epoch: 34 [38272/49812]	Loss: 0.3873	LR: 0.004000
Training Epoch: 34 [38336/49812]	Loss: 0.5234	LR: 0.004000
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Training Epoch: 34 [38464/49812]	Loss: 0.2591	LR: 0.004000
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Training Epoch: 34 [38592/49812]	Loss: 0.2437	LR: 0.004000
Training Epoch: 34 [38656/49812]	Loss: 0.6874	LR: 0.004000
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Training Epoch: 34 [39040/49812]	Loss: 0.2686	LR: 0.004000
Training Epoch: 34 [39104/49812]	Loss: 0.4498	LR: 0.004000
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Training Epoch: 34 [39232/49812]	Loss: 0.3875	LR: 0.004000
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Training Epoch: 34 [40128/49812]	Loss: 0.6000	LR: 0.004000
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Training Epoch: 34 [40256/49812]	Loss: 0.6253	LR: 0.004000
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Training Epoch: 34 [40384/49812]	Loss: 0.3555	LR: 0.004000
Training Epoch: 34 [40448/49812]	Loss: 0.6095	LR: 0.004000
Training Epoch: 34 [40512/49812]	Loss: 0.4951	LR: 0.004000
Training Epoch: 34 [40576/49812]	Loss: 0.4323	LR: 0.004000
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Training Epoch: 34 [49812/49812]	Loss: 1.1566	LR: 0.004000
Epoch 34 - Average Train Loss: 0.4745, Train Accuracy: 0.8480
Epoch 34 training time consumed: 266.80s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0110, Accuracy: 0.7868, Time consumed:17.10s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-34-best.pth
Training Epoch: 35 [64/49812]	Loss: 0.3972	LR: 0.000800
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Training Epoch: 35 [9280/49812]	Loss: 0.4707	LR: 0.000800
Training Epoch: 35 [9344/49812]	Loss: 0.3156	LR: 0.000800
Training Epoch: 35 [9408/49812]	Loss: 0.5095	LR: 0.000800
Training Epoch: 35 [9472/49812]	Loss: 0.3522	LR: 0.000800
Training Epoch: 35 [9536/49812]	Loss: 0.5109	LR: 0.000800
Training Epoch: 35 [9600/49812]	Loss: 0.4167	LR: 0.000800
Training Epoch: 35 [9664/49812]	Loss: 0.3831	LR: 0.000800
Training Epoch: 35 [9728/49812]	Loss: 0.4248	LR: 0.000800
Training Epoch: 35 [9792/49812]	Loss: 0.3663	LR: 0.000800
Training Epoch: 35 [9856/49812]	Loss: 0.4154	LR: 0.000800
Training Epoch: 35 [9920/49812]	Loss: 0.2305	LR: 0.000800
Training Epoch: 35 [9984/49812]	Loss: 0.4725	LR: 0.000800
Training Epoch: 35 [10048/49812]	Loss: 0.2728	LR: 0.000800
Training Epoch: 35 [10112/49812]	Loss: 0.3435	LR: 0.000800
Training Epoch: 35 [10176/49812]	Loss: 0.3252	LR: 0.000800
Training Epoch: 35 [10240/49812]	Loss: 0.5170	LR: 0.000800
Training Epoch: 35 [10304/49812]	Loss: 0.4455	LR: 0.000800
Training Epoch: 35 [10368/49812]	Loss: 0.5486	LR: 0.000800
Training Epoch: 35 [10432/49812]	Loss: 0.4456	LR: 0.000800
Training Epoch: 35 [10496/49812]	Loss: 0.4699	LR: 0.000800
Training Epoch: 35 [10560/49812]	Loss: 0.2963	LR: 0.000800
Training Epoch: 35 [10624/49812]	Loss: 0.4340	LR: 0.000800
Training Epoch: 35 [10688/49812]	Loss: 0.4568	LR: 0.000800
Training Epoch: 35 [10752/49812]	Loss: 0.3410	LR: 0.000800
Training Epoch: 35 [10816/49812]	Loss: 0.4300	LR: 0.000800
Training Epoch: 35 [10880/49812]	Loss: 0.4248	LR: 0.000800
Training Epoch: 35 [10944/49812]	Loss: 0.3862	LR: 0.000800
Training Epoch: 35 [11008/49812]	Loss: 0.3551	LR: 0.000800
Training Epoch: 35 [11072/49812]	Loss: 0.5426	LR: 0.000800
Training Epoch: 35 [11136/49812]	Loss: 0.2704	LR: 0.000800
Training Epoch: 35 [11200/49812]	Loss: 0.3886	LR: 0.000800
Training Epoch: 35 [11264/49812]	Loss: 0.4335	LR: 0.000800
Training Epoch: 35 [11328/49812]	Loss: 0.4915	LR: 0.000800
Training Epoch: 35 [11392/49812]	Loss: 0.4539	LR: 0.000800
Training Epoch: 35 [11456/49812]	Loss: 0.3597	LR: 0.000800
Training Epoch: 35 [11520/49812]	Loss: 0.5988	LR: 0.000800
Training Epoch: 35 [11584/49812]	Loss: 0.3143	LR: 0.000800
Training Epoch: 35 [11648/49812]	Loss: 0.2902	LR: 0.000800
Training Epoch: 35 [11712/49812]	Loss: 0.3215	LR: 0.000800
Training Epoch: 35 [11776/49812]	Loss: 0.5494	LR: 0.000800
Training Epoch: 35 [11840/49812]	Loss: 0.3061	LR: 0.000800
Training Epoch: 35 [11904/49812]	Loss: 0.5267	LR: 0.000800
Training Epoch: 35 [11968/49812]	Loss: 0.5336	LR: 0.000800
Training Epoch: 35 [12032/49812]	Loss: 0.3669	LR: 0.000800
Training Epoch: 35 [12096/49812]	Loss: 0.5342	LR: 0.000800
Training Epoch: 35 [12160/49812]	Loss: 0.3516	LR: 0.000800
Training Epoch: 35 [12224/49812]	Loss: 0.4205	LR: 0.000800
Training Epoch: 35 [12288/49812]	Loss: 0.5458	LR: 0.000800
Training Epoch: 35 [12352/49812]	Loss: 0.3643	LR: 0.000800
Training Epoch: 35 [12416/49812]	Loss: 0.3852	LR: 0.000800
Training Epoch: 35 [12480/49812]	Loss: 0.4113	LR: 0.000800
Training Epoch: 35 [12544/49812]	Loss: 0.4671	LR: 0.000800
Training Epoch: 35 [12608/49812]	Loss: 0.6244	LR: 0.000800
Training Epoch: 35 [12672/49812]	Loss: 0.3301	LR: 0.000800
Training Epoch: 35 [12736/49812]	Loss: 0.3804	LR: 0.000800
Training Epoch: 35 [12800/49812]	Loss: 0.3606	LR: 0.000800
Training Epoch: 35 [12864/49812]	Loss: 0.4349	LR: 0.000800
Training Epoch: 35 [12928/49812]	Loss: 0.4483	LR: 0.000800
Training Epoch: 35 [12992/49812]	Loss: 0.4811	LR: 0.000800
Training Epoch: 35 [13056/49812]	Loss: 0.4649	LR: 0.000800
Training Epoch: 35 [13120/49812]	Loss: 0.5474	LR: 0.000800
Training Epoch: 35 [13184/49812]	Loss: 0.5979	LR: 0.000800
Training Epoch: 35 [13248/49812]	Loss: 0.4372	LR: 0.000800
Training Epoch: 35 [13312/49812]	Loss: 0.5518	LR: 0.000800
Training Epoch: 35 [13376/49812]	Loss: 0.3871	LR: 0.000800
Training Epoch: 35 [13440/49812]	Loss: 0.3604	LR: 0.000800
Training Epoch: 35 [13504/49812]	Loss: 0.4111	LR: 0.000800
Training Epoch: 35 [13568/49812]	Loss: 0.5030	LR: 0.000800
Training Epoch: 35 [13632/49812]	Loss: 0.5195	LR: 0.000800
Training Epoch: 35 [13696/49812]	Loss: 0.5398	LR: 0.000800
Training Epoch: 35 [13760/49812]	Loss: 0.4416	LR: 0.000800
Training Epoch: 35 [13824/49812]	Loss: 0.4257	LR: 0.000800
Training Epoch: 35 [13888/49812]	Loss: 0.3525	LR: 0.000800
Training Epoch: 35 [13952/49812]	Loss: 0.5334	LR: 0.000800
Training Epoch: 35 [14016/49812]	Loss: 0.3716	LR: 0.000800
Training Epoch: 35 [14080/49812]	Loss: 0.3789	LR: 0.000800
Training Epoch: 35 [14144/49812]	Loss: 0.3973	LR: 0.000800
Training Epoch: 35 [14208/49812]	Loss: 0.3841	LR: 0.000800
Training Epoch: 35 [14272/49812]	Loss: 0.5045	LR: 0.000800
Training Epoch: 35 [14336/49812]	Loss: 0.4461	LR: 0.000800
Training Epoch: 35 [14400/49812]	Loss: 0.3913	LR: 0.000800
Training Epoch: 35 [14464/49812]	Loss: 0.3798	LR: 0.000800
Training Epoch: 35 [14528/49812]	Loss: 0.2930	LR: 0.000800
Training Epoch: 35 [14592/49812]	Loss: 0.3984	LR: 0.000800
Training Epoch: 35 [14656/49812]	Loss: 0.5403	LR: 0.000800
Training Epoch: 35 [14720/49812]	Loss: 0.4498	LR: 0.000800
Training Epoch: 35 [14784/49812]	Loss: 0.3647	LR: 0.000800
Training Epoch: 35 [14848/49812]	Loss: 0.4065	LR: 0.000800
Training Epoch: 35 [14912/49812]	Loss: 0.4056	LR: 0.000800
Training Epoch: 35 [14976/49812]	Loss: 0.4647	LR: 0.000800
Training Epoch: 35 [15040/49812]	Loss: 0.3950	LR: 0.000800
Training Epoch: 35 [15104/49812]	Loss: 0.4824	LR: 0.000800
Training Epoch: 35 [15168/49812]	Loss: 0.4429	LR: 0.000800
Training Epoch: 35 [15232/49812]	Loss: 0.4671	LR: 0.000800
Training Epoch: 35 [15296/49812]	Loss: 0.2166	LR: 0.000800
Training Epoch: 35 [15360/49812]	Loss: 0.3194	LR: 0.000800
Training Epoch: 35 [15424/49812]	Loss: 0.7303	LR: 0.000800
Training Epoch: 35 [15488/49812]	Loss: 0.7448	LR: 0.000800
Training Epoch: 35 [15552/49812]	Loss: 0.2808	LR: 0.000800
Training Epoch: 35 [15616/49812]	Loss: 0.3970	LR: 0.000800
Training Epoch: 35 [15680/49812]	Loss: 0.3244	LR: 0.000800
Training Epoch: 35 [15744/49812]	Loss: 0.3734	LR: 0.000800
Training Epoch: 35 [15808/49812]	Loss: 0.3587	LR: 0.000800
Training Epoch: 35 [15872/49812]	Loss: 0.3866	LR: 0.000800
Training Epoch: 35 [15936/49812]	Loss: 0.2727	LR: 0.000800
Training Epoch: 35 [16000/49812]	Loss: 0.4173	LR: 0.000800
Training Epoch: 35 [16064/49812]	Loss: 0.7266	LR: 0.000800
Training Epoch: 35 [16128/49812]	Loss: 0.5777	LR: 0.000800
Training Epoch: 35 [16192/49812]	Loss: 0.5511	LR: 0.000800
Training Epoch: 35 [16256/49812]	Loss: 0.4180	LR: 0.000800
Training Epoch: 35 [16320/49812]	Loss: 0.3917	LR: 0.000800
Training Epoch: 35 [16384/49812]	Loss: 0.4060	LR: 0.000800
Training Epoch: 35 [16448/49812]	Loss: 0.4364	LR: 0.000800
Training Epoch: 35 [16512/49812]	Loss: 0.5489	LR: 0.000800
Training Epoch: 35 [16576/49812]	Loss: 0.2953	LR: 0.000800
Training Epoch: 35 [16640/49812]	Loss: 0.5953	LR: 0.000800
Training Epoch: 35 [16704/49812]	Loss: 0.4437	LR: 0.000800
Training Epoch: 35 [16768/49812]	Loss: 0.5757	LR: 0.000800
Training Epoch: 35 [16832/49812]	Loss: 0.3753	LR: 0.000800
Training Epoch: 35 [16896/49812]	Loss: 0.3429	LR: 0.000800
Training Epoch: 35 [16960/49812]	Loss: 0.3719	LR: 0.000800
Training Epoch: 35 [17024/49812]	Loss: 0.4384	LR: 0.000800
Training Epoch: 35 [17088/49812]	Loss: 0.3369	LR: 0.000800
Training Epoch: 35 [17152/49812]	Loss: 0.4646	LR: 0.000800
Training Epoch: 35 [17216/49812]	Loss: 0.3524	LR: 0.000800
Training Epoch: 35 [17280/49812]	Loss: 0.4192	LR: 0.000800
Training Epoch: 35 [17344/49812]	Loss: 0.5530	LR: 0.000800
Training Epoch: 35 [17408/49812]	Loss: 0.3966	LR: 0.000800
Training Epoch: 35 [17472/49812]	Loss: 0.5569	LR: 0.000800
Training Epoch: 35 [17536/49812]	Loss: 0.4041	LR: 0.000800
Training Epoch: 35 [17600/49812]	Loss: 0.2083	LR: 0.000800
Training Epoch: 35 [17664/49812]	Loss: 0.3114	LR: 0.000800
Training Epoch: 35 [17728/49812]	Loss: 0.5714	LR: 0.000800
Training Epoch: 35 [17792/49812]	Loss: 0.4853	LR: 0.000800
Training Epoch: 35 [17856/49812]	Loss: 0.3808	LR: 0.000800
Training Epoch: 35 [17920/49812]	Loss: 0.4065	LR: 0.000800
Training Epoch: 35 [17984/49812]	Loss: 0.5960	LR: 0.000800
Training Epoch: 35 [18048/49812]	Loss: 0.2874	LR: 0.000800
Training Epoch: 35 [18112/49812]	Loss: 0.4543	LR: 0.000800
Training Epoch: 35 [18176/49812]	Loss: 0.4207	LR: 0.000800
Training Epoch: 35 [18240/49812]	Loss: 0.4204	LR: 0.000800
Training Epoch: 35 [18304/49812]	Loss: 0.5501	LR: 0.000800
Training Epoch: 35 [18368/49812]	Loss: 0.2791	LR: 0.000800
Training Epoch: 35 [18432/49812]	Loss: 0.3360	LR: 0.000800
Training Epoch: 35 [18496/49812]	Loss: 0.4859	LR: 0.000800
Training Epoch: 35 [18560/49812]	Loss: 0.4493	LR: 0.000800
Training Epoch: 35 [18624/49812]	Loss: 0.5237	LR: 0.000800
Training Epoch: 35 [18688/49812]	Loss: 0.3782	LR: 0.000800
Training Epoch: 35 [18752/49812]	Loss: 0.3557	LR: 0.000800
Training Epoch: 35 [18816/49812]	Loss: 0.3061	LR: 0.000800
Training Epoch: 35 [18880/49812]	Loss: 0.5970	LR: 0.000800
Training Epoch: 35 [18944/49812]	Loss: 0.3030	LR: 0.000800
Training Epoch: 35 [19008/49812]	Loss: 0.3452	LR: 0.000800
Training Epoch: 35 [19072/49812]	Loss: 0.3819	LR: 0.000800
Training Epoch: 35 [19136/49812]	Loss: 0.2573	LR: 0.000800
Training Epoch: 35 [19200/49812]	Loss: 0.5396	LR: 0.000800
Training Epoch: 35 [19264/49812]	Loss: 0.5542	LR: 0.000800
Training Epoch: 35 [19328/49812]	Loss: 0.4088	LR: 0.000800
Training Epoch: 35 [19392/49812]	Loss: 0.4958	LR: 0.000800
Training Epoch: 35 [19456/49812]	Loss: 0.3979	LR: 0.000800
Training Epoch: 35 [19520/49812]	Loss: 0.5129	LR: 0.000800
Training Epoch: 35 [19584/49812]	Loss: 0.3597	LR: 0.000800
Training Epoch: 35 [19648/49812]	Loss: 0.3463	LR: 0.000800
Training Epoch: 35 [19712/49812]	Loss: 0.3185	LR: 0.000800
Training Epoch: 35 [19776/49812]	Loss: 0.4398	LR: 0.000800
Training Epoch: 35 [19840/49812]	Loss: 0.4779	LR: 0.000800
Training Epoch: 35 [19904/49812]	Loss: 0.3356	LR: 0.000800
Training Epoch: 35 [19968/49812]	Loss: 0.3033	LR: 0.000800
Training Epoch: 35 [20032/49812]	Loss: 0.2977	LR: 0.000800
Training Epoch: 35 [20096/49812]	Loss: 0.3405	LR: 0.000800
Training Epoch: 35 [20160/49812]	Loss: 0.3970	LR: 0.000800
Training Epoch: 35 [20224/49812]	Loss: 0.5551	LR: 0.000800
Training Epoch: 35 [20288/49812]	Loss: 0.5427	LR: 0.000800
Training Epoch: 35 [20352/49812]	Loss: 0.4281	LR: 0.000800
Training Epoch: 35 [20416/49812]	Loss: 0.3061	LR: 0.000800
Training Epoch: 35 [20480/49812]	Loss: 0.3605	LR: 0.000800
Training Epoch: 35 [20544/49812]	Loss: 0.3297	LR: 0.000800
Training Epoch: 35 [20608/49812]	Loss: 0.5308	LR: 0.000800
Training Epoch: 35 [20672/49812]	Loss: 0.3684	LR: 0.000800
Training Epoch: 35 [20736/49812]	Loss: 0.6512	LR: 0.000800
Training Epoch: 35 [20800/49812]	Loss: 0.3750	LR: 0.000800
Training Epoch: 35 [20864/49812]	Loss: 0.5212	LR: 0.000800
Training Epoch: 35 [20928/49812]	Loss: 0.4752	LR: 0.000800
Training Epoch: 35 [20992/49812]	Loss: 0.4401	LR: 0.000800
Training Epoch: 35 [21056/49812]	Loss: 0.3774	LR: 0.000800
Training Epoch: 35 [21120/49812]	Loss: 0.3969	LR: 0.000800
Training Epoch: 35 [21184/49812]	Loss: 0.4215	LR: 0.000800
Training Epoch: 35 [21248/49812]	Loss: 0.3838	LR: 0.000800
Training Epoch: 35 [21312/49812]	Loss: 0.3894	LR: 0.000800
Training Epoch: 35 [21376/49812]	Loss: 0.2803	LR: 0.000800
Training Epoch: 35 [21440/49812]	Loss: 0.4337	LR: 0.000800
Training Epoch: 35 [21504/49812]	Loss: 0.4837	LR: 0.000800
Training Epoch: 35 [21568/49812]	Loss: 0.3282	LR: 0.000800
Training Epoch: 35 [21632/49812]	Loss: 0.4962	LR: 0.000800
Training Epoch: 35 [21696/49812]	Loss: 0.3076	LR: 0.000800
Training Epoch: 35 [21760/49812]	Loss: 0.4950	LR: 0.000800
Training Epoch: 35 [21824/49812]	Loss: 0.3809	LR: 0.000800
Training Epoch: 35 [21888/49812]	Loss: 0.2921	LR: 0.000800
Training Epoch: 35 [21952/49812]	Loss: 0.4440	LR: 0.000800
Training Epoch: 35 [22016/49812]	Loss: 0.4062	LR: 0.000800
Training Epoch: 35 [22080/49812]	Loss: 0.3904	LR: 0.000800
Training Epoch: 35 [22144/49812]	Loss: 0.4435	LR: 0.000800
Training Epoch: 35 [22208/49812]	Loss: 0.5466	LR: 0.000800
Training Epoch: 35 [22272/49812]	Loss: 0.3985	LR: 0.000800
Training Epoch: 35 [22336/49812]	Loss: 0.4206	LR: 0.000800
Training Epoch: 35 [22400/49812]	Loss: 0.6355	LR: 0.000800
Training Epoch: 35 [22464/49812]	Loss: 0.4270	LR: 0.000800
Training Epoch: 35 [22528/49812]	Loss: 0.4764	LR: 0.000800
Training Epoch: 35 [22592/49812]	Loss: 0.4369	LR: 0.000800
Training Epoch: 35 [22656/49812]	Loss: 0.3959	LR: 0.000800
Training Epoch: 35 [22720/49812]	Loss: 0.5439	LR: 0.000800
Training Epoch: 35 [22784/49812]	Loss: 0.3033	LR: 0.000800
Training Epoch: 35 [22848/49812]	Loss: 0.2798	LR: 0.000800
Training Epoch: 35 [22912/49812]	Loss: 0.3679	LR: 0.000800
Training Epoch: 35 [22976/49812]	Loss: 0.4365	LR: 0.000800
Training Epoch: 35 [23040/49812]	Loss: 0.3349	LR: 0.000800
Training Epoch: 35 [23104/49812]	Loss: 0.5430	LR: 0.000800
Training Epoch: 35 [23168/49812]	Loss: 0.4523	LR: 0.000800
Training Epoch: 35 [23232/49812]	Loss: 0.3625	LR: 0.000800
Training Epoch: 35 [23296/49812]	Loss: 0.3396	LR: 0.000800
Training Epoch: 35 [23360/49812]	Loss: 0.3278	LR: 0.000800
Training Epoch: 35 [23424/49812]	Loss: 0.5273	LR: 0.000800
Training Epoch: 35 [23488/49812]	Loss: 0.3849	LR: 0.000800
Training Epoch: 35 [23552/49812]	Loss: 0.4364	LR: 0.000800
Training Epoch: 35 [23616/49812]	Loss: 0.4805	LR: 0.000800
Training Epoch: 35 [23680/49812]	Loss: 0.3574	LR: 0.000800
Training Epoch: 35 [23744/49812]	Loss: 0.4937	LR: 0.000800
Training Epoch: 35 [23808/49812]	Loss: 0.4682	LR: 0.000800
Training Epoch: 35 [23872/49812]	Loss: 0.4052	LR: 0.000800
Training Epoch: 35 [23936/49812]	Loss: 0.2318	LR: 0.000800
Training Epoch: 35 [24000/49812]	Loss: 0.4262	LR: 0.000800
Training Epoch: 35 [24064/49812]	Loss: 0.4942	LR: 0.000800
Training Epoch: 35 [24128/49812]	Loss: 0.3702	LR: 0.000800
Training Epoch: 35 [24192/49812]	Loss: 0.3251	LR: 0.000800
Training Epoch: 35 [24256/49812]	Loss: 0.4218	LR: 0.000800
Training Epoch: 35 [24320/49812]	Loss: 0.4358	LR: 0.000800
Training Epoch: 35 [24384/49812]	Loss: 0.4588	LR: 0.000800
Training Epoch: 35 [24448/49812]	Loss: 0.3845	LR: 0.000800
Training Epoch: 35 [24512/49812]	Loss: 0.3130	LR: 0.000800
Training Epoch: 35 [24576/49812]	Loss: 0.4725	LR: 0.000800
Training Epoch: 35 [24640/49812]	Loss: 0.5106	LR: 0.000800
Training Epoch: 35 [24704/49812]	Loss: 0.3241	LR: 0.000800
Training Epoch: 35 [24768/49812]	Loss: 0.4934	LR: 0.000800
Training Epoch: 35 [24832/49812]	Loss: 0.6637	LR: 0.000800
Training Epoch: 35 [24896/49812]	Loss: 0.5416	LR: 0.000800
Training Epoch: 35 [24960/49812]	Loss: 0.3320	LR: 0.000800
Training Epoch: 35 [25024/49812]	Loss: 0.5112	LR: 0.000800
Training Epoch: 35 [25088/49812]	Loss: 0.5692	LR: 0.000800
Training Epoch: 35 [25152/49812]	Loss: 0.3606	LR: 0.000800
Training Epoch: 35 [25216/49812]	Loss: 0.4176	LR: 0.000800
Training Epoch: 35 [25280/49812]	Loss: 0.7453	LR: 0.000800
Training Epoch: 35 [25344/49812]	Loss: 0.4639	LR: 0.000800
Training Epoch: 35 [25408/49812]	Loss: 0.2315	LR: 0.000800
Training Epoch: 35 [25472/49812]	Loss: 0.4135	LR: 0.000800
Training Epoch: 35 [25536/49812]	Loss: 0.4331	LR: 0.000800
Training Epoch: 35 [25600/49812]	Loss: 0.4729	LR: 0.000800
Training Epoch: 35 [25664/49812]	Loss: 0.3932	LR: 0.000800
Training Epoch: 35 [25728/49812]	Loss: 0.2323	LR: 0.000800
Training Epoch: 35 [25792/49812]	Loss: 0.3820	LR: 0.000800
Training Epoch: 35 [25856/49812]	Loss: 0.4593	LR: 0.000800
Training Epoch: 35 [25920/49812]	Loss: 0.2932	LR: 0.000800
Training Epoch: 35 [25984/49812]	Loss: 0.4075	LR: 0.000800
Training Epoch: 35 [26048/49812]	Loss: 0.4017	LR: 0.000800
Training Epoch: 35 [26112/49812]	Loss: 0.3778	LR: 0.000800
Training Epoch: 35 [26176/49812]	Loss: 0.2076	LR: 0.000800
Training Epoch: 35 [26240/49812]	Loss: 0.3200	LR: 0.000800
Training Epoch: 35 [26304/49812]	Loss: 0.4283	LR: 0.000800
Training Epoch: 35 [26368/49812]	Loss: 0.3636	LR: 0.000800
Training Epoch: 35 [26432/49812]	Loss: 0.3972	LR: 0.000800
Training Epoch: 35 [26496/49812]	Loss: 0.3253	LR: 0.000800
Training Epoch: 35 [26560/49812]	Loss: 0.5226	LR: 0.000800
Training Epoch: 35 [26624/49812]	Loss: 0.4742	LR: 0.000800
Training Epoch: 35 [26688/49812]	Loss: 0.4289	LR: 0.000800
Training Epoch: 35 [26752/49812]	Loss: 0.4015	LR: 0.000800
Training Epoch: 35 [26816/49812]	Loss: 0.5404	LR: 0.000800
Training Epoch: 35 [26880/49812]	Loss: 0.3592	LR: 0.000800
Training Epoch: 35 [26944/49812]	Loss: 0.3306	LR: 0.000800
Training Epoch: 35 [27008/49812]	Loss: 0.3581	LR: 0.000800
Training Epoch: 35 [27072/49812]	Loss: 0.4407	LR: 0.000800
Training Epoch: 35 [27136/49812]	Loss: 0.6145	LR: 0.000800
Training Epoch: 35 [27200/49812]	Loss: 0.3857	LR: 0.000800
Training Epoch: 35 [27264/49812]	Loss: 0.4377	LR: 0.000800
Training Epoch: 35 [27328/49812]	Loss: 0.4868	LR: 0.000800
Training Epoch: 35 [27392/49812]	Loss: 0.4346	LR: 0.000800
Training Epoch: 35 [27456/49812]	Loss: 0.4250	LR: 0.000800
Training Epoch: 35 [27520/49812]	Loss: 0.3086	LR: 0.000800
Training Epoch: 35 [27584/49812]	Loss: 0.2917	LR: 0.000800
Training Epoch: 35 [27648/49812]	Loss: 0.6288	LR: 0.000800
Training Epoch: 35 [27712/49812]	Loss: 0.5416	LR: 0.000800
Training Epoch: 35 [27776/49812]	Loss: 0.3886	LR: 0.000800
Training Epoch: 35 [27840/49812]	Loss: 0.4085	LR: 0.000800
Training Epoch: 35 [27904/49812]	Loss: 0.3506	LR: 0.000800
Training Epoch: 35 [27968/49812]	Loss: 0.4251	LR: 0.000800
Training Epoch: 35 [28032/49812]	Loss: 0.3582	LR: 0.000800
Training Epoch: 35 [28096/49812]	Loss: 0.5968	LR: 0.000800
Training Epoch: 35 [28160/49812]	Loss: 0.5795	LR: 0.000800
Training Epoch: 35 [28224/49812]	Loss: 0.3429	LR: 0.000800
Training Epoch: 35 [28288/49812]	Loss: 0.3466	LR: 0.000800
Training Epoch: 35 [28352/49812]	Loss: 0.4829	LR: 0.000800
Training Epoch: 35 [28416/49812]	Loss: 0.4990	LR: 0.000800
Training Epoch: 35 [28480/49812]	Loss: 0.4185	LR: 0.000800
Training Epoch: 35 [28544/49812]	Loss: 0.5441	LR: 0.000800
Training Epoch: 35 [28608/49812]	Loss: 0.3818	LR: 0.000800
Training Epoch: 35 [28672/49812]	Loss: 0.3526	LR: 0.000800
Training Epoch: 35 [28736/49812]	Loss: 0.5586	LR: 0.000800
Training Epoch: 35 [28800/49812]	Loss: 0.3855	LR: 0.000800
Training Epoch: 35 [28864/49812]	Loss: 0.4423	LR: 0.000800
Training Epoch: 35 [28928/49812]	Loss: 0.3511	LR: 0.000800
Training Epoch: 35 [28992/49812]	Loss: 0.3157	LR: 0.000800
Training Epoch: 35 [29056/49812]	Loss: 0.5553	LR: 0.000800
Training Epoch: 35 [29120/49812]	Loss: 0.3799	LR: 0.000800
Training Epoch: 35 [29184/49812]	Loss: 0.4307	LR: 0.000800
Training Epoch: 35 [29248/49812]	Loss: 0.4935	LR: 0.000800
Training Epoch: 35 [29312/49812]	Loss: 0.4024	LR: 0.000800
Training Epoch: 35 [29376/49812]	Loss: 0.5454	LR: 0.000800
Training Epoch: 35 [29440/49812]	Loss: 0.4055	LR: 0.000800
Training Epoch: 35 [29504/49812]	Loss: 0.4966	LR: 0.000800
Training Epoch: 35 [29568/49812]	Loss: 0.3324	LR: 0.000800
Training Epoch: 35 [29632/49812]	Loss: 0.3676	LR: 0.000800
Training Epoch: 35 [29696/49812]	Loss: 0.3682	LR: 0.000800
Training Epoch: 35 [29760/49812]	Loss: 0.4732	LR: 0.000800
Training Epoch: 35 [29824/49812]	Loss: 0.4059	LR: 0.000800
Training Epoch: 35 [29888/49812]	Loss: 0.3996	LR: 0.000800
Training Epoch: 35 [29952/49812]	Loss: 0.3292	LR: 0.000800
Training Epoch: 35 [30016/49812]	Loss: 0.3942	LR: 0.000800
Training Epoch: 35 [30080/49812]	Loss: 0.4506	LR: 0.000800
Training Epoch: 35 [30144/49812]	Loss: 0.5451	LR: 0.000800
Training Epoch: 35 [30208/49812]	Loss: 0.3482	LR: 0.000800
Training Epoch: 35 [30272/49812]	Loss: 0.6627	LR: 0.000800
Training Epoch: 35 [30336/49812]	Loss: 0.5382	LR: 0.000800
Training Epoch: 35 [30400/49812]	Loss: 0.3547	LR: 0.000800
Training Epoch: 35 [30464/49812]	Loss: 0.3733	LR: 0.000800
Training Epoch: 35 [30528/49812]	Loss: 0.3633	LR: 0.000800
Training Epoch: 35 [30592/49812]	Loss: 0.4790	LR: 0.000800
Training Epoch: 35 [30656/49812]	Loss: 0.4509	LR: 0.000800
Training Epoch: 35 [30720/49812]	Loss: 0.3960	LR: 0.000800
Training Epoch: 35 [30784/49812]	Loss: 0.4540	LR: 0.000800
Training Epoch: 35 [30848/49812]	Loss: 0.4337	LR: 0.000800
Training Epoch: 35 [30912/49812]	Loss: 0.5772	LR: 0.000800
Training Epoch: 35 [30976/49812]	Loss: 0.4934	LR: 0.000800
Training Epoch: 35 [31040/49812]	Loss: 0.6667	LR: 0.000800
Training Epoch: 35 [31104/49812]	Loss: 0.2796	LR: 0.000800
Training Epoch: 35 [31168/49812]	Loss: 0.4247	LR: 0.000800
Training Epoch: 35 [31232/49812]	Loss: 0.2280	LR: 0.000800
Training Epoch: 35 [31296/49812]	Loss: 0.2221	LR: 0.000800
Training Epoch: 35 [31360/49812]	Loss: 0.2891	LR: 0.000800
Training Epoch: 35 [31424/49812]	Loss: 0.2795	LR: 0.000800
Training Epoch: 35 [31488/49812]	Loss: 0.2412	LR: 0.000800
Training Epoch: 35 [31552/49812]	Loss: 0.3130	LR: 0.000800
Training Epoch: 35 [31616/49812]	Loss: 0.4370	LR: 0.000800
Training Epoch: 35 [31680/49812]	Loss: 0.5234	LR: 0.000800
Training Epoch: 35 [31744/49812]	Loss: 0.2623	LR: 0.000800
Training Epoch: 35 [31808/49812]	Loss: 0.5589	LR: 0.000800
Training Epoch: 35 [31872/49812]	Loss: 0.3820	LR: 0.000800
Training Epoch: 35 [31936/49812]	Loss: 0.4491	LR: 0.000800
Training Epoch: 35 [32000/49812]	Loss: 0.5350	LR: 0.000800
Training Epoch: 35 [32064/49812]	Loss: 0.4465	LR: 0.000800
Training Epoch: 35 [32128/49812]	Loss: 0.2628	LR: 0.000800
Training Epoch: 35 [32192/49812]	Loss: 0.5719	LR: 0.000800
Training Epoch: 35 [32256/49812]	Loss: 0.3653	LR: 0.000800
Training Epoch: 35 [32320/49812]	Loss: 0.5305	LR: 0.000800
Training Epoch: 35 [32384/49812]	Loss: 0.6582	LR: 0.000800
Training Epoch: 35 [32448/49812]	Loss: 0.4846	LR: 0.000800
Training Epoch: 35 [32512/49812]	Loss: 0.4088	LR: 0.000800
Training Epoch: 35 [32576/49812]	Loss: 0.3296	LR: 0.000800
Training Epoch: 35 [32640/49812]	Loss: 0.5707	LR: 0.000800
Training Epoch: 35 [32704/49812]	Loss: 0.5030	LR: 0.000800
Training Epoch: 35 [32768/49812]	Loss: 0.2967	LR: 0.000800
Training Epoch: 35 [32832/49812]	Loss: 0.5191	LR: 0.000800
Training Epoch: 35 [32896/49812]	Loss: 0.3976	LR: 0.000800
Training Epoch: 35 [32960/49812]	Loss: 0.3414	LR: 0.000800
Training Epoch: 35 [33024/49812]	Loss: 0.3349	LR: 0.000800
Training Epoch: 35 [33088/49812]	Loss: 0.5747	LR: 0.000800
Training Epoch: 35 [33152/49812]	Loss: 0.5474	LR: 0.000800
Training Epoch: 35 [33216/49812]	Loss: 0.4766	LR: 0.000800
Training Epoch: 35 [33280/49812]	Loss: 0.4567	LR: 0.000800
Training Epoch: 35 [33344/49812]	Loss: 0.3364	LR: 0.000800
Training Epoch: 35 [33408/49812]	Loss: 0.2695	LR: 0.000800
Training Epoch: 35 [33472/49812]	Loss: 0.3269	LR: 0.000800
Training Epoch: 35 [33536/49812]	Loss: 0.5073	LR: 0.000800
Training Epoch: 35 [33600/49812]	Loss: 0.4018	LR: 0.000800
Training Epoch: 35 [33664/49812]	Loss: 0.5669	LR: 0.000800
Training Epoch: 35 [33728/49812]	Loss: 0.4547	LR: 0.000800
Training Epoch: 35 [33792/49812]	Loss: 0.4303	LR: 0.000800
Training Epoch: 35 [33856/49812]	Loss: 0.2544	LR: 0.000800
Training Epoch: 35 [33920/49812]	Loss: 0.4853	LR: 0.000800
Training Epoch: 35 [33984/49812]	Loss: 0.3149	LR: 0.000800
Training Epoch: 35 [34048/49812]	Loss: 0.5760	LR: 0.000800
Training Epoch: 35 [34112/49812]	Loss: 0.4072	LR: 0.000800
Training Epoch: 35 [34176/49812]	Loss: 0.4689	LR: 0.000800
Training Epoch: 35 [34240/49812]	Loss: 0.3600	LR: 0.000800
Training Epoch: 35 [34304/49812]	Loss: 0.3630	LR: 0.000800
Training Epoch: 35 [34368/49812]	Loss: 0.3432	LR: 0.000800
Training Epoch: 35 [34432/49812]	Loss: 0.4514	LR: 0.000800
Training Epoch: 35 [34496/49812]	Loss: 0.4699	LR: 0.000800
Training Epoch: 35 [34560/49812]	Loss: 0.4339	LR: 0.000800
Training Epoch: 35 [34624/49812]	Loss: 0.3772	LR: 0.000800
Training Epoch: 35 [34688/49812]	Loss: 0.4031	LR: 0.000800
Training Epoch: 35 [34752/49812]	Loss: 0.3674	LR: 0.000800
Training Epoch: 35 [34816/49812]	Loss: 0.3156	LR: 0.000800
Training Epoch: 35 [34880/49812]	Loss: 0.5472	LR: 0.000800
Training Epoch: 35 [34944/49812]	Loss: 0.4787	LR: 0.000800
Training Epoch: 35 [35008/49812]	Loss: 0.3204	LR: 0.000800
Training Epoch: 35 [35072/49812]	Loss: 0.4543	LR: 0.000800
Training Epoch: 35 [35136/49812]	Loss: 0.4360	LR: 0.000800
Training Epoch: 35 [35200/49812]	Loss: 0.2858	LR: 0.000800
Training Epoch: 35 [35264/49812]	Loss: 0.3921	LR: 0.000800
Training Epoch: 35 [35328/49812]	Loss: 0.3556	LR: 0.000800
Training Epoch: 35 [35392/49812]	Loss: 0.4476	LR: 0.000800
Training Epoch: 35 [35456/49812]	Loss: 0.3925	LR: 0.000800
Training Epoch: 35 [35520/49812]	Loss: 0.3716	LR: 0.000800
Training Epoch: 35 [35584/49812]	Loss: 0.5098	LR: 0.000800
Training Epoch: 35 [35648/49812]	Loss: 0.4073	LR: 0.000800
Training Epoch: 35 [35712/49812]	Loss: 0.4119	LR: 0.000800
Training Epoch: 35 [35776/49812]	Loss: 0.5818	LR: 0.000800
Training Epoch: 35 [35840/49812]	Loss: 0.2965	LR: 0.000800
Training Epoch: 35 [35904/49812]	Loss: 0.4069	LR: 0.000800
Training Epoch: 35 [35968/49812]	Loss: 0.2902	LR: 0.000800
Training Epoch: 35 [36032/49812]	Loss: 0.4757	LR: 0.000800
Training Epoch: 35 [36096/49812]	Loss: 0.3246	LR: 0.000800
Training Epoch: 35 [36160/49812]	Loss: 0.5396	LR: 0.000800
Training Epoch: 35 [36224/49812]	Loss: 0.2297	LR: 0.000800
Training Epoch: 35 [36288/49812]	Loss: 0.4391	LR: 0.000800
Training Epoch: 35 [36352/49812]	Loss: 0.3506	LR: 0.000800
Training Epoch: 35 [36416/49812]	Loss: 0.4172	LR: 0.000800
Training Epoch: 35 [36480/49812]	Loss: 0.5383	LR: 0.000800
Training Epoch: 35 [36544/49812]	Loss: 0.6861	LR: 0.000800
Training Epoch: 35 [36608/49812]	Loss: 0.3094	LR: 0.000800
Training Epoch: 35 [36672/49812]	Loss: 0.5055	LR: 0.000800
Training Epoch: 35 [36736/49812]	Loss: 0.4311	LR: 0.000800
Training Epoch: 35 [36800/49812]	Loss: 0.4661	LR: 0.000800
Training Epoch: 35 [36864/49812]	Loss: 0.3604	LR: 0.000800
Training Epoch: 35 [36928/49812]	Loss: 0.4138	LR: 0.000800
Training Epoch: 35 [36992/49812]	Loss: 0.3968	LR: 0.000800
Training Epoch: 35 [37056/49812]	Loss: 0.6094	LR: 0.000800
Training Epoch: 35 [37120/49812]	Loss: 0.4180	LR: 0.000800
Training Epoch: 35 [37184/49812]	Loss: 0.3704	LR: 0.000800
Training Epoch: 35 [37248/49812]	Loss: 0.4496	LR: 0.000800
Training Epoch: 35 [37312/49812]	Loss: 0.3569	LR: 0.000800
Training Epoch: 35 [37376/49812]	Loss: 0.4379	LR: 0.000800
Training Epoch: 35 [37440/49812]	Loss: 0.3574	LR: 0.000800
Training Epoch: 35 [37504/49812]	Loss: 0.4939	LR: 0.000800
Training Epoch: 35 [37568/49812]	Loss: 0.3350	LR: 0.000800
Training Epoch: 35 [37632/49812]	Loss: 0.2534	LR: 0.000800
Training Epoch: 35 [37696/49812]	Loss: 0.4209	LR: 0.000800
Training Epoch: 35 [37760/49812]	Loss: 0.5086	LR: 0.000800
Training Epoch: 35 [37824/49812]	Loss: 0.4638	LR: 0.000800
Training Epoch: 35 [37888/49812]	Loss: 0.3287	LR: 0.000800
Training Epoch: 35 [37952/49812]	Loss: 0.2762	LR: 0.000800
Training Epoch: 35 [38016/49812]	Loss: 0.3218	LR: 0.000800
Training Epoch: 35 [38080/49812]	Loss: 0.3647	LR: 0.000800
Training Epoch: 35 [38144/49812]	Loss: 0.4808	LR: 0.000800
Training Epoch: 35 [38208/49812]	Loss: 0.1564	LR: 0.000800
Training Epoch: 35 [38272/49812]	Loss: 0.3304	LR: 0.000800
Training Epoch: 35 [38336/49812]	Loss: 0.4800	LR: 0.000800
Training Epoch: 35 [38400/49812]	Loss: 0.4561	LR: 0.000800
Training Epoch: 35 [38464/49812]	Loss: 0.3517	LR: 0.000800
Training Epoch: 35 [38528/49812]	Loss: 0.3215	LR: 0.000800
Training Epoch: 35 [38592/49812]	Loss: 0.3539	LR: 0.000800
Training Epoch: 35 [38656/49812]	Loss: 0.5807	LR: 0.000800
Training Epoch: 35 [38720/49812]	Loss: 0.3725	LR: 0.000800
Training Epoch: 35 [38784/49812]	Loss: 0.3863	LR: 0.000800
Training Epoch: 35 [38848/49812]	Loss: 0.4629	LR: 0.000800
Training Epoch: 35 [38912/49812]	Loss: 0.3636	LR: 0.000800
Training Epoch: 35 [38976/49812]	Loss: 0.2286	LR: 0.000800
Training Epoch: 35 [39040/49812]	Loss: 0.3238	LR: 0.000800
Training Epoch: 35 [39104/49812]	Loss: 0.4581	LR: 0.000800
Training Epoch: 35 [39168/49812]	Loss: 0.3207	LR: 0.000800
Training Epoch: 35 [39232/49812]	Loss: 0.4830	LR: 0.000800
Training Epoch: 35 [39296/49812]	Loss: 0.4232	LR: 0.000800
Training Epoch: 35 [39360/49812]	Loss: 0.4277	LR: 0.000800
Training Epoch: 35 [39424/49812]	Loss: 0.2428	LR: 0.000800
Training Epoch: 35 [39488/49812]	Loss: 0.3442	LR: 0.000800
Training Epoch: 35 [39552/49812]	Loss: 0.4132	LR: 0.000800
Training Epoch: 35 [39616/49812]	Loss: 0.3351	LR: 0.000800
Training Epoch: 35 [39680/49812]	Loss: 0.5274	LR: 0.000800
Training Epoch: 35 [39744/49812]	Loss: 0.3918	LR: 0.000800
Training Epoch: 35 [39808/49812]	Loss: 0.5097	LR: 0.000800
Training Epoch: 35 [39872/49812]	Loss: 0.4934	LR: 0.000800
Training Epoch: 35 [39936/49812]	Loss: 0.4067	LR: 0.000800
Training Epoch: 35 [40000/49812]	Loss: 0.3377	LR: 0.000800
Training Epoch: 35 [40064/49812]	Loss: 0.2969	LR: 0.000800
Training Epoch: 35 [40128/49812]	Loss: 0.4973	LR: 0.000800
Training Epoch: 35 [40192/49812]	Loss: 0.4090	LR: 0.000800
Training Epoch: 35 [40256/49812]	Loss: 0.4598	LR: 0.000800
Training Epoch: 35 [40320/49812]	Loss: 0.4858	LR: 0.000800
Training Epoch: 35 [40384/49812]	Loss: 0.3396	LR: 0.000800
Training Epoch: 35 [40448/49812]	Loss: 0.3947	LR: 0.000800
Training Epoch: 35 [40512/49812]	Loss: 0.4183	LR: 0.000800
Training Epoch: 35 [40576/49812]	Loss: 0.4553	LR: 0.000800
Training Epoch: 35 [40640/49812]	Loss: 0.3448	LR: 0.000800
Training Epoch: 35 [40704/49812]	Loss: 0.4147	LR: 0.000800
Training Epoch: 35 [40768/49812]	Loss: 0.3152	LR: 0.000800
Training Epoch: 35 [40832/49812]	Loss: 0.2777	LR: 0.000800
Training Epoch: 35 [40896/49812]	Loss: 0.5833	LR: 0.000800
Training Epoch: 35 [40960/49812]	Loss: 0.3522	LR: 0.000800
Training Epoch: 35 [41024/49812]	Loss: 0.3980	LR: 0.000800
Training Epoch: 35 [41088/49812]	Loss: 0.3347	LR: 0.000800
Training Epoch: 35 [41152/49812]	Loss: 0.3799	LR: 0.000800
Training Epoch: 35 [41216/49812]	Loss: 0.4724	LR: 0.000800
Training Epoch: 35 [41280/49812]	Loss: 0.4128	LR: 0.000800
Training Epoch: 35 [41344/49812]	Loss: 0.2901	LR: 0.000800
Training Epoch: 35 [41408/49812]	Loss: 0.4326	LR: 0.000800
Training Epoch: 35 [41472/49812]	Loss: 0.2932	LR: 0.000800
Training Epoch: 35 [41536/49812]	Loss: 0.5249	LR: 0.000800
Training Epoch: 35 [41600/49812]	Loss: 0.4050	LR: 0.000800
Training Epoch: 35 [41664/49812]	Loss: 0.1822	LR: 0.000800
Training Epoch: 35 [41728/49812]	Loss: 0.4759	LR: 0.000800
Training Epoch: 35 [41792/49812]	Loss: 0.2883	LR: 0.000800
Training Epoch: 35 [41856/49812]	Loss: 0.4641	LR: 0.000800
Training Epoch: 35 [41920/49812]	Loss: 0.2789	LR: 0.000800
Training Epoch: 35 [41984/49812]	Loss: 0.4156	LR: 0.000800
Training Epoch: 35 [42048/49812]	Loss: 0.3602	LR: 0.000800
Training Epoch: 35 [42112/49812]	Loss: 0.4433	LR: 0.000800
Training Epoch: 35 [42176/49812]	Loss: 0.4642	LR: 0.000800
Training Epoch: 35 [42240/49812]	Loss: 0.3968	LR: 0.000800
Training Epoch: 35 [42304/49812]	Loss: 0.3519	LR: 0.000800
Training Epoch: 35 [42368/49812]	Loss: 0.3858	LR: 0.000800
Training Epoch: 35 [42432/49812]	Loss: 0.3536	LR: 0.000800
Training Epoch: 35 [42496/49812]	Loss: 0.2999	LR: 0.000800
Training Epoch: 35 [42560/49812]	Loss: 0.2621	LR: 0.000800
Training Epoch: 35 [42624/49812]	Loss: 0.3649	LR: 0.000800
Training Epoch: 35 [42688/49812]	Loss: 0.4496	LR: 0.000800
Training Epoch: 35 [42752/49812]	Loss: 0.4408	LR: 0.000800
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Training Epoch: 35 [42880/49812]	Loss: 0.2982	LR: 0.000800
Training Epoch: 35 [42944/49812]	Loss: 0.2801	LR: 0.000800
Training Epoch: 35 [43008/49812]	Loss: 0.4640	LR: 0.000800
Training Epoch: 35 [43072/49812]	Loss: 0.3628	LR: 0.000800
Training Epoch: 35 [43136/49812]	Loss: 0.4661	LR: 0.000800
Training Epoch: 35 [43200/49812]	Loss: 0.5077	LR: 0.000800
Training Epoch: 35 [43264/49812]	Loss: 0.4991	LR: 0.000800
Training Epoch: 35 [43328/49812]	Loss: 0.5729	LR: 0.000800
Training Epoch: 35 [43392/49812]	Loss: 0.3689	LR: 0.000800
Training Epoch: 35 [43456/49812]	Loss: 0.3128	LR: 0.000800
Training Epoch: 35 [43520/49812]	Loss: 0.2901	LR: 0.000800
Training Epoch: 35 [43584/49812]	Loss: 0.5985	LR: 0.000800
Training Epoch: 35 [43648/49812]	Loss: 0.3747	LR: 0.000800
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Training Epoch: 35 [43776/49812]	Loss: 0.2969	LR: 0.000800
Training Epoch: 35 [43840/49812]	Loss: 0.6867	LR: 0.000800
Training Epoch: 35 [43904/49812]	Loss: 0.4954	LR: 0.000800
Training Epoch: 35 [43968/49812]	Loss: 0.3648	LR: 0.000800
Training Epoch: 35 [44032/49812]	Loss: 0.3716	LR: 0.000800
Training Epoch: 35 [44096/49812]	Loss: 0.5568	LR: 0.000800
Training Epoch: 35 [44160/49812]	Loss: 0.3801	LR: 0.000800
Training Epoch: 35 [44224/49812]	Loss: 0.4619	LR: 0.000800
Training Epoch: 35 [44288/49812]	Loss: 0.4445	LR: 0.000800
Training Epoch: 35 [44352/49812]	Loss: 0.6382	LR: 0.000800
Training Epoch: 35 [44416/49812]	Loss: 0.3816	LR: 0.000800
Training Epoch: 35 [44480/49812]	Loss: 0.3329	LR: 0.000800
Training Epoch: 35 [44544/49812]	Loss: 0.3653	LR: 0.000800
Training Epoch: 35 [44608/49812]	Loss: 0.3593	LR: 0.000800
Training Epoch: 35 [44672/49812]	Loss: 0.4636	LR: 0.000800
Training Epoch: 35 [44736/49812]	Loss: 0.4758	LR: 0.000800
Training Epoch: 35 [44800/49812]	Loss: 0.5094	LR: 0.000800
Training Epoch: 35 [44864/49812]	Loss: 0.4337	LR: 0.000800
Training Epoch: 35 [44928/49812]	Loss: 0.3193	LR: 0.000800
Training Epoch: 35 [44992/49812]	Loss: 0.5151	LR: 0.000800
Training Epoch: 35 [45056/49812]	Loss: 0.5393	LR: 0.000800
Training Epoch: 35 [45120/49812]	Loss: 0.3830	LR: 0.000800
Training Epoch: 35 [45184/49812]	Loss: 0.3821	LR: 0.000800
Training Epoch: 35 [45248/49812]	Loss: 0.4177	LR: 0.000800
Training Epoch: 35 [45312/49812]	Loss: 0.4460	LR: 0.000800
Training Epoch: 35 [45376/49812]	Loss: 0.4651	LR: 0.000800
Training Epoch: 35 [45440/49812]	Loss: 0.2875	LR: 0.000800
Training Epoch: 35 [45504/49812]	Loss: 0.4768	LR: 0.000800
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Training Epoch: 35 [45632/49812]	Loss: 0.5346	LR: 0.000800
Training Epoch: 35 [45696/49812]	Loss: 0.2715	LR: 0.000800
Training Epoch: 35 [45760/49812]	Loss: 0.4675	LR: 0.000800
Training Epoch: 35 [45824/49812]	Loss: 0.4076	LR: 0.000800
Training Epoch: 35 [45888/49812]	Loss: 0.3206	LR: 0.000800
Training Epoch: 35 [45952/49812]	Loss: 0.3897	LR: 0.000800
Training Epoch: 35 [46016/49812]	Loss: 0.4699	LR: 0.000800
Training Epoch: 35 [46080/49812]	Loss: 0.2529	LR: 0.000800
Training Epoch: 35 [46144/49812]	Loss: 0.4011	LR: 0.000800
Training Epoch: 35 [46208/49812]	Loss: 0.5888	LR: 0.000800
Training Epoch: 35 [46272/49812]	Loss: 0.3120	LR: 0.000800
Training Epoch: 35 [46336/49812]	Loss: 0.5806	LR: 0.000800
Training Epoch: 35 [46400/49812]	Loss: 0.3716	LR: 0.000800
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Training Epoch: 35 [49812/49812]	Loss: 0.5483	LR: 0.000800
Epoch 35 - Average Train Loss: 0.4211, Train Accuracy: 0.8681
Epoch 35 training time consumed: 265.65s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0102, Accuracy: 0.7996, Time consumed:17.19s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-35-best.pth
Training Epoch: 36 [64/49812]	Loss: 0.3672	LR: 0.000800
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Training Epoch: 36 [14848/49812]	Loss: 0.3995	LR: 0.000800
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Training Epoch: 36 [14976/49812]	Loss: 0.4193	LR: 0.000800
Training Epoch: 36 [15040/49812]	Loss: 0.3120	LR: 0.000800
Training Epoch: 36 [15104/49812]	Loss: 0.5139	LR: 0.000800
Training Epoch: 36 [15168/49812]	Loss: 0.3581	LR: 0.000800
Training Epoch: 36 [15232/49812]	Loss: 0.5019	LR: 0.000800
Training Epoch: 36 [15296/49812]	Loss: 0.4989	LR: 0.000800
Training Epoch: 36 [15360/49812]	Loss: 0.4559	LR: 0.000800
Training Epoch: 36 [15424/49812]	Loss: 0.4711	LR: 0.000800
Training Epoch: 36 [15488/49812]	Loss: 0.3655	LR: 0.000800
Training Epoch: 36 [15552/49812]	Loss: 0.3633	LR: 0.000800
Training Epoch: 36 [15616/49812]	Loss: 0.2173	LR: 0.000800
Training Epoch: 36 [15680/49812]	Loss: 0.3066	LR: 0.000800
Training Epoch: 36 [15744/49812]	Loss: 0.4195	LR: 0.000800
Training Epoch: 36 [15808/49812]	Loss: 0.4078	LR: 0.000800
Training Epoch: 36 [15872/49812]	Loss: 0.3428	LR: 0.000800
Training Epoch: 36 [15936/49812]	Loss: 0.4208	LR: 0.000800
Training Epoch: 36 [16000/49812]	Loss: 0.5546	LR: 0.000800
Training Epoch: 36 [16064/49812]	Loss: 0.3384	LR: 0.000800
Training Epoch: 36 [16128/49812]	Loss: 0.3701	LR: 0.000800
Training Epoch: 36 [16192/49812]	Loss: 0.4748	LR: 0.000800
Training Epoch: 36 [16256/49812]	Loss: 0.5349	LR: 0.000800
Training Epoch: 36 [16320/49812]	Loss: 0.3370	LR: 0.000800
Training Epoch: 36 [16384/49812]	Loss: 0.1928	LR: 0.000800
Training Epoch: 36 [16448/49812]	Loss: 0.3824	LR: 0.000800
Training Epoch: 36 [16512/49812]	Loss: 0.4689	LR: 0.000800
Training Epoch: 36 [16576/49812]	Loss: 0.4018	LR: 0.000800
Training Epoch: 36 [16640/49812]	Loss: 0.6129	LR: 0.000800
Training Epoch: 36 [16704/49812]	Loss: 0.4596	LR: 0.000800
Training Epoch: 36 [16768/49812]	Loss: 0.4028	LR: 0.000800
Training Epoch: 36 [16832/49812]	Loss: 0.3836	LR: 0.000800
Training Epoch: 36 [16896/49812]	Loss: 0.4180	LR: 0.000800
Training Epoch: 36 [16960/49812]	Loss: 0.2694	LR: 0.000800
Training Epoch: 36 [17024/49812]	Loss: 0.3952	LR: 0.000800
Training Epoch: 36 [17088/49812]	Loss: 0.2235	LR: 0.000800
Training Epoch: 36 [17152/49812]	Loss: 0.4889	LR: 0.000800
Training Epoch: 36 [17216/49812]	Loss: 0.3111	LR: 0.000800
Training Epoch: 36 [17280/49812]	Loss: 0.4231	LR: 0.000800
Training Epoch: 36 [17344/49812]	Loss: 0.4186	LR: 0.000800
Training Epoch: 36 [17408/49812]	Loss: 0.3509	LR: 0.000800
Training Epoch: 36 [17472/49812]	Loss: 0.3950	LR: 0.000800
Training Epoch: 36 [17536/49812]	Loss: 0.3549	LR: 0.000800
Training Epoch: 36 [17600/49812]	Loss: 0.3419	LR: 0.000800
Training Epoch: 36 [17664/49812]	Loss: 0.3412	LR: 0.000800
Training Epoch: 36 [17728/49812]	Loss: 0.4226	LR: 0.000800
Training Epoch: 36 [17792/49812]	Loss: 0.2875	LR: 0.000800
Training Epoch: 36 [17856/49812]	Loss: 0.3131	LR: 0.000800
Training Epoch: 36 [17920/49812]	Loss: 0.3788	LR: 0.000800
Training Epoch: 36 [17984/49812]	Loss: 0.4062	LR: 0.000800
Training Epoch: 36 [18048/49812]	Loss: 0.3477	LR: 0.000800
Training Epoch: 36 [18112/49812]	Loss: 0.4959	LR: 0.000800
Training Epoch: 36 [18176/49812]	Loss: 0.3856	LR: 0.000800
Training Epoch: 36 [18240/49812]	Loss: 0.3734	LR: 0.000800
Training Epoch: 36 [18304/49812]	Loss: 0.3850	LR: 0.000800
Training Epoch: 36 [18368/49812]	Loss: 0.3110	LR: 0.000800
Training Epoch: 36 [18432/49812]	Loss: 0.3755	LR: 0.000800
Training Epoch: 36 [18496/49812]	Loss: 0.6580	LR: 0.000800
Training Epoch: 36 [18560/49812]	Loss: 0.4445	LR: 0.000800
Training Epoch: 36 [18624/49812]	Loss: 0.3728	LR: 0.000800
Training Epoch: 36 [18688/49812]	Loss: 0.5703	LR: 0.000800
Training Epoch: 36 [18752/49812]	Loss: 0.4427	LR: 0.000800
Training Epoch: 36 [18816/49812]	Loss: 0.4434	LR: 0.000800
Training Epoch: 36 [18880/49812]	Loss: 0.3179	LR: 0.000800
Training Epoch: 36 [18944/49812]	Loss: 0.5185	LR: 0.000800
Training Epoch: 36 [19008/49812]	Loss: 0.4564	LR: 0.000800
Training Epoch: 36 [19072/49812]	Loss: 0.2501	LR: 0.000800
Training Epoch: 36 [19136/49812]	Loss: 0.4376	LR: 0.000800
Training Epoch: 36 [19200/49812]	Loss: 0.4333	LR: 0.000800
Training Epoch: 36 [19264/49812]	Loss: 0.4036	LR: 0.000800
Training Epoch: 36 [19328/49812]	Loss: 0.4402	LR: 0.000800
Training Epoch: 36 [19392/49812]	Loss: 0.2360	LR: 0.000800
Training Epoch: 36 [19456/49812]	Loss: 0.2459	LR: 0.000800
Training Epoch: 36 [19520/49812]	Loss: 0.5228	LR: 0.000800
Training Epoch: 36 [19584/49812]	Loss: 0.3633	LR: 0.000800
Training Epoch: 36 [19648/49812]	Loss: 0.3838	LR: 0.000800
Training Epoch: 36 [19712/49812]	Loss: 0.2838	LR: 0.000800
Training Epoch: 36 [19776/49812]	Loss: 0.4228	LR: 0.000800
Training Epoch: 36 [19840/49812]	Loss: 0.4455	LR: 0.000800
Training Epoch: 36 [19904/49812]	Loss: 0.2274	LR: 0.000800
Training Epoch: 36 [19968/49812]	Loss: 0.4674	LR: 0.000800
Training Epoch: 36 [20032/49812]	Loss: 0.3289	LR: 0.000800
Training Epoch: 36 [20096/49812]	Loss: 0.4964	LR: 0.000800
Training Epoch: 36 [20160/49812]	Loss: 0.5045	LR: 0.000800
Training Epoch: 36 [20224/49812]	Loss: 0.4798	LR: 0.000800
Training Epoch: 36 [20288/49812]	Loss: 0.3336	LR: 0.000800
Training Epoch: 36 [20352/49812]	Loss: 0.4051	LR: 0.000800
Training Epoch: 36 [20416/49812]	Loss: 0.3831	LR: 0.000800
Training Epoch: 36 [20480/49812]	Loss: 0.3522	LR: 0.000800
Training Epoch: 36 [20544/49812]	Loss: 0.4397	LR: 0.000800
Training Epoch: 36 [20608/49812]	Loss: 0.3302	LR: 0.000800
Training Epoch: 36 [20672/49812]	Loss: 0.4161	LR: 0.000800
Training Epoch: 36 [20736/49812]	Loss: 0.3713	LR: 0.000800
Training Epoch: 36 [20800/49812]	Loss: 0.3594	LR: 0.000800
Training Epoch: 36 [20864/49812]	Loss: 0.4857	LR: 0.000800
Training Epoch: 36 [20928/49812]	Loss: 0.4829	LR: 0.000800
Training Epoch: 36 [20992/49812]	Loss: 0.2753	LR: 0.000800
Training Epoch: 36 [21056/49812]	Loss: 0.3634	LR: 0.000800
Training Epoch: 36 [21120/49812]	Loss: 0.2503	LR: 0.000800
Training Epoch: 36 [21184/49812]	Loss: 0.5334	LR: 0.000800
Training Epoch: 36 [21248/49812]	Loss: 0.2106	LR: 0.000800
Training Epoch: 36 [21312/49812]	Loss: 0.4176	LR: 0.000800
Training Epoch: 36 [21376/49812]	Loss: 0.5936	LR: 0.000800
Training Epoch: 36 [21440/49812]	Loss: 0.5935	LR: 0.000800
Training Epoch: 36 [21504/49812]	Loss: 0.4147	LR: 0.000800
Training Epoch: 36 [21568/49812]	Loss: 0.5438	LR: 0.000800
Training Epoch: 36 [21632/49812]	Loss: 0.5462	LR: 0.000800
Training Epoch: 36 [21696/49812]	Loss: 0.3051	LR: 0.000800
Training Epoch: 36 [21760/49812]	Loss: 0.2911	LR: 0.000800
Training Epoch: 36 [21824/49812]	Loss: 0.3824	LR: 0.000800
Training Epoch: 36 [21888/49812]	Loss: 0.3150	LR: 0.000800
Training Epoch: 36 [21952/49812]	Loss: 0.4558	LR: 0.000800
Training Epoch: 36 [22016/49812]	Loss: 0.4256	LR: 0.000800
Training Epoch: 36 [22080/49812]	Loss: 0.4314	LR: 0.000800
Training Epoch: 36 [22144/49812]	Loss: 0.3177	LR: 0.000800
Training Epoch: 36 [22208/49812]	Loss: 0.3085	LR: 0.000800
Training Epoch: 36 [22272/49812]	Loss: 0.3461	LR: 0.000800
Training Epoch: 36 [22336/49812]	Loss: 0.5302	LR: 0.000800
Training Epoch: 36 [22400/49812]	Loss: 0.3545	LR: 0.000800
Training Epoch: 36 [22464/49812]	Loss: 0.5750	LR: 0.000800
Training Epoch: 36 [22528/49812]	Loss: 0.3810	LR: 0.000800
Training Epoch: 36 [22592/49812]	Loss: 0.3036	LR: 0.000800
Training Epoch: 36 [22656/49812]	Loss: 0.4367	LR: 0.000800
Training Epoch: 36 [22720/49812]	Loss: 0.1917	LR: 0.000800
Training Epoch: 36 [22784/49812]	Loss: 0.4671	LR: 0.000800
Training Epoch: 36 [22848/49812]	Loss: 0.3308	LR: 0.000800
Training Epoch: 36 [22912/49812]	Loss: 0.3815	LR: 0.000800
Training Epoch: 36 [22976/49812]	Loss: 0.2522	LR: 0.000800
Training Epoch: 36 [23040/49812]	Loss: 0.5628	LR: 0.000800
Training Epoch: 36 [23104/49812]	Loss: 0.2673	LR: 0.000800
Training Epoch: 36 [23168/49812]	Loss: 0.2682	LR: 0.000800
Training Epoch: 36 [23232/49812]	Loss: 0.6229	LR: 0.000800
Training Epoch: 36 [23296/49812]	Loss: 0.3114	LR: 0.000800
Training Epoch: 36 [23360/49812]	Loss: 0.4279	LR: 0.000800
Training Epoch: 36 [23424/49812]	Loss: 0.4787	LR: 0.000800
Training Epoch: 36 [23488/49812]	Loss: 0.4441	LR: 0.000800
Training Epoch: 36 [23552/49812]	Loss: 0.3577	LR: 0.000800
Training Epoch: 36 [23616/49812]	Loss: 0.3035	LR: 0.000800
Training Epoch: 36 [23680/49812]	Loss: 0.3324	LR: 0.000800
Training Epoch: 36 [23744/49812]	Loss: 0.4063	LR: 0.000800
Training Epoch: 36 [23808/49812]	Loss: 0.3341	LR: 0.000800
Training Epoch: 36 [23872/49812]	Loss: 0.5129	LR: 0.000800
Training Epoch: 36 [23936/49812]	Loss: 0.2961	LR: 0.000800
Training Epoch: 36 [24000/49812]	Loss: 0.5123	LR: 0.000800
Training Epoch: 36 [24064/49812]	Loss: 0.3403	LR: 0.000800
Training Epoch: 36 [24128/49812]	Loss: 0.5509	LR: 0.000800
Training Epoch: 36 [24192/49812]	Loss: 0.4385	LR: 0.000800
Training Epoch: 36 [24256/49812]	Loss: 0.2686	LR: 0.000800
Training Epoch: 36 [24320/49812]	Loss: 0.4652	LR: 0.000800
Training Epoch: 36 [24384/49812]	Loss: 0.4809	LR: 0.000800
Training Epoch: 36 [24448/49812]	Loss: 0.3561	LR: 0.000800
Training Epoch: 36 [24512/49812]	Loss: 0.4150	LR: 0.000800
Training Epoch: 36 [24576/49812]	Loss: 0.4212	LR: 0.000800
Training Epoch: 36 [24640/49812]	Loss: 0.6187	LR: 0.000800
Training Epoch: 36 [24704/49812]	Loss: 0.3116	LR: 0.000800
Training Epoch: 36 [24768/49812]	Loss: 0.5008	LR: 0.000800
Training Epoch: 36 [24832/49812]	Loss: 0.4345	LR: 0.000800
Training Epoch: 36 [24896/49812]	Loss: 0.3427	LR: 0.000800
Training Epoch: 36 [24960/49812]	Loss: 0.3489	LR: 0.000800
Training Epoch: 36 [25024/49812]	Loss: 0.2751	LR: 0.000800
Training Epoch: 36 [25088/49812]	Loss: 0.4825	LR: 0.000800
Training Epoch: 36 [25152/49812]	Loss: 0.3819	LR: 0.000800
Training Epoch: 36 [25216/49812]	Loss: 0.4218	LR: 0.000800
Training Epoch: 36 [25280/49812]	Loss: 0.3611	LR: 0.000800
Training Epoch: 36 [25344/49812]	Loss: 0.3438	LR: 0.000800
Training Epoch: 36 [25408/49812]	Loss: 0.4675	LR: 0.000800
Training Epoch: 36 [25472/49812]	Loss: 0.3667	LR: 0.000800
Training Epoch: 36 [25536/49812]	Loss: 0.5565	LR: 0.000800
Training Epoch: 36 [25600/49812]	Loss: 0.4869	LR: 0.000800
Training Epoch: 36 [25664/49812]	Loss: 0.5107	LR: 0.000800
Training Epoch: 36 [25728/49812]	Loss: 0.4675	LR: 0.000800
Training Epoch: 36 [25792/49812]	Loss: 0.4024	LR: 0.000800
Training Epoch: 36 [25856/49812]	Loss: 0.4405	LR: 0.000800
Training Epoch: 36 [25920/49812]	Loss: 0.4170	LR: 0.000800
Training Epoch: 36 [25984/49812]	Loss: 0.5098	LR: 0.000800
Training Epoch: 36 [26048/49812]	Loss: 0.2982	LR: 0.000800
Training Epoch: 36 [26112/49812]	Loss: 0.3112	LR: 0.000800
Training Epoch: 36 [26176/49812]	Loss: 0.3960	LR: 0.000800
Training Epoch: 36 [26240/49812]	Loss: 0.3768	LR: 0.000800
Training Epoch: 36 [26304/49812]	Loss: 0.3757	LR: 0.000800
Training Epoch: 36 [26368/49812]	Loss: 0.3864	LR: 0.000800
Training Epoch: 36 [26432/49812]	Loss: 0.3659	LR: 0.000800
Training Epoch: 36 [26496/49812]	Loss: 0.3594	LR: 0.000800
Training Epoch: 36 [26560/49812]	Loss: 0.5486	LR: 0.000800
Training Epoch: 36 [26624/49812]	Loss: 0.3553	LR: 0.000800
Training Epoch: 36 [26688/49812]	Loss: 0.4681	LR: 0.000800
Training Epoch: 36 [26752/49812]	Loss: 0.3268	LR: 0.000800
Training Epoch: 36 [26816/49812]	Loss: 0.3562	LR: 0.000800
Training Epoch: 36 [26880/49812]	Loss: 0.5100	LR: 0.000800
Training Epoch: 36 [26944/49812]	Loss: 0.2779	LR: 0.000800
Training Epoch: 36 [27008/49812]	Loss: 0.3919	LR: 0.000800
Training Epoch: 36 [27072/49812]	Loss: 0.5765	LR: 0.000800
Training Epoch: 36 [27136/49812]	Loss: 0.4661	LR: 0.000800
Training Epoch: 36 [27200/49812]	Loss: 0.3797	LR: 0.000800
Training Epoch: 36 [27264/49812]	Loss: 0.6247	LR: 0.000800
Training Epoch: 36 [27328/49812]	Loss: 0.3746	LR: 0.000800
Training Epoch: 36 [27392/49812]	Loss: 0.5128	LR: 0.000800
Training Epoch: 36 [27456/49812]	Loss: 0.3495	LR: 0.000800
Training Epoch: 36 [27520/49812]	Loss: 0.4588	LR: 0.000800
Training Epoch: 36 [27584/49812]	Loss: 0.4386	LR: 0.000800
Training Epoch: 36 [27648/49812]	Loss: 0.2366	LR: 0.000800
Training Epoch: 36 [27712/49812]	Loss: 0.5156	LR: 0.000800
Training Epoch: 36 [27776/49812]	Loss: 0.2914	LR: 0.000800
Training Epoch: 36 [27840/49812]	Loss: 0.2994	LR: 0.000800
Training Epoch: 36 [27904/49812]	Loss: 0.2764	LR: 0.000800
Training Epoch: 36 [27968/49812]	Loss: 0.4752	LR: 0.000800
Training Epoch: 36 [28032/49812]	Loss: 0.4136	LR: 0.000800
Training Epoch: 36 [28096/49812]	Loss: 0.3764	LR: 0.000800
Training Epoch: 36 [28160/49812]	Loss: 0.5199	LR: 0.000800
Training Epoch: 36 [28224/49812]	Loss: 0.5833	LR: 0.000800
Training Epoch: 36 [28288/49812]	Loss: 0.3666	LR: 0.000800
Training Epoch: 36 [28352/49812]	Loss: 0.5179	LR: 0.000800
Training Epoch: 36 [28416/49812]	Loss: 0.3912	LR: 0.000800
Training Epoch: 36 [28480/49812]	Loss: 0.3093	LR: 0.000800
Training Epoch: 36 [28544/49812]	Loss: 0.4088	LR: 0.000800
Training Epoch: 36 [28608/49812]	Loss: 0.3169	LR: 0.000800
Training Epoch: 36 [28672/49812]	Loss: 0.3952	LR: 0.000800
Training Epoch: 36 [28736/49812]	Loss: 0.3781	LR: 0.000800
Training Epoch: 36 [28800/49812]	Loss: 0.3958	LR: 0.000800
Training Epoch: 36 [28864/49812]	Loss: 0.4112	LR: 0.000800
Training Epoch: 36 [28928/49812]	Loss: 0.3976	LR: 0.000800
Training Epoch: 36 [28992/49812]	Loss: 0.6103	LR: 0.000800
Training Epoch: 36 [29056/49812]	Loss: 0.5080	LR: 0.000800
Training Epoch: 36 [29120/49812]	Loss: 0.3393	LR: 0.000800
Training Epoch: 36 [29184/49812]	Loss: 0.3229	LR: 0.000800
Training Epoch: 36 [29248/49812]	Loss: 0.4748	LR: 0.000800
Training Epoch: 36 [29312/49812]	Loss: 0.3441	LR: 0.000800
Training Epoch: 36 [29376/49812]	Loss: 0.2688	LR: 0.000800
Training Epoch: 36 [29440/49812]	Loss: 0.3653	LR: 0.000800
Training Epoch: 36 [29504/49812]	Loss: 0.5260	LR: 0.000800
Training Epoch: 36 [29568/49812]	Loss: 0.6113	LR: 0.000800
Training Epoch: 36 [29632/49812]	Loss: 0.5200	LR: 0.000800
Training Epoch: 36 [29696/49812]	Loss: 0.3381	LR: 0.000800
Training Epoch: 36 [29760/49812]	Loss: 0.2832	LR: 0.000800
Training Epoch: 36 [29824/49812]	Loss: 0.4482	LR: 0.000800
Training Epoch: 36 [29888/49812]	Loss: 0.5370	LR: 0.000800
Training Epoch: 36 [29952/49812]	Loss: 0.5188	LR: 0.000800
Training Epoch: 36 [30016/49812]	Loss: 0.3585	LR: 0.000800
Training Epoch: 36 [30080/49812]	Loss: 0.3572	LR: 0.000800
Training Epoch: 36 [30144/49812]	Loss: 0.4240	LR: 0.000800
Training Epoch: 36 [30208/49812]	Loss: 0.3458	LR: 0.000800
Training Epoch: 36 [30272/49812]	Loss: 0.4438	LR: 0.000800
Training Epoch: 36 [30336/49812]	Loss: 0.5711	LR: 0.000800
Training Epoch: 36 [30400/49812]	Loss: 0.3393	LR: 0.000800
Training Epoch: 36 [30464/49812]	Loss: 0.4858	LR: 0.000800
Training Epoch: 36 [30528/49812]	Loss: 0.3541	LR: 0.000800
Training Epoch: 36 [30592/49812]	Loss: 0.3056	LR: 0.000800
Training Epoch: 36 [30656/49812]	Loss: 0.2046	LR: 0.000800
Training Epoch: 36 [30720/49812]	Loss: 0.4798	LR: 0.000800
Training Epoch: 36 [30784/49812]	Loss: 0.1959	LR: 0.000800
Training Epoch: 36 [30848/49812]	Loss: 0.3290	LR: 0.000800
Training Epoch: 36 [30912/49812]	Loss: 0.4680	LR: 0.000800
Training Epoch: 36 [30976/49812]	Loss: 0.3654	LR: 0.000800
Training Epoch: 36 [31040/49812]	Loss: 0.6817	LR: 0.000800
Training Epoch: 36 [31104/49812]	Loss: 0.4318	LR: 0.000800
Training Epoch: 36 [31168/49812]	Loss: 0.3796	LR: 0.000800
Training Epoch: 36 [31232/49812]	Loss: 0.4205	LR: 0.000800
Training Epoch: 36 [31296/49812]	Loss: 0.4480	LR: 0.000800
Training Epoch: 36 [31360/49812]	Loss: 0.2728	LR: 0.000800
Training Epoch: 36 [31424/49812]	Loss: 0.3989	LR: 0.000800
Training Epoch: 36 [31488/49812]	Loss: 0.3910	LR: 0.000800
Training Epoch: 36 [31552/49812]	Loss: 0.2788	LR: 0.000800
Training Epoch: 36 [31616/49812]	Loss: 0.4633	LR: 0.000800
Training Epoch: 36 [31680/49812]	Loss: 0.6181	LR: 0.000800
Training Epoch: 36 [31744/49812]	Loss: 0.2873	LR: 0.000800
Training Epoch: 36 [31808/49812]	Loss: 0.4527	LR: 0.000800
Training Epoch: 36 [31872/49812]	Loss: 0.4824	LR: 0.000800
Training Epoch: 36 [31936/49812]	Loss: 0.4643	LR: 0.000800
Training Epoch: 36 [32000/49812]	Loss: 0.3965	LR: 0.000800
Training Epoch: 36 [32064/49812]	Loss: 0.4594	LR: 0.000800
Training Epoch: 36 [32128/49812]	Loss: 0.3023	LR: 0.000800
Training Epoch: 36 [32192/49812]	Loss: 0.4686	LR: 0.000800
Training Epoch: 36 [32256/49812]	Loss: 0.2888	LR: 0.000800
Training Epoch: 36 [32320/49812]	Loss: 0.2934	LR: 0.000800
Training Epoch: 36 [32384/49812]	Loss: 0.4205	LR: 0.000800
Training Epoch: 36 [32448/49812]	Loss: 0.3825	LR: 0.000800
Training Epoch: 36 [32512/49812]	Loss: 0.3604	LR: 0.000800
Training Epoch: 36 [32576/49812]	Loss: 0.5538	LR: 0.000800
Training Epoch: 36 [32640/49812]	Loss: 0.3938	LR: 0.000800
Training Epoch: 36 [32704/49812]	Loss: 0.3843	LR: 0.000800
Training Epoch: 36 [32768/49812]	Loss: 0.4523	LR: 0.000800
Training Epoch: 36 [32832/49812]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [32896/49812]	Loss: 0.3108	LR: 0.000800
Training Epoch: 36 [32960/49812]	Loss: 0.3504	LR: 0.000800
Training Epoch: 36 [33024/49812]	Loss: 0.3815	LR: 0.000800
Training Epoch: 36 [33088/49812]	Loss: 0.3430	LR: 0.000800
Training Epoch: 36 [33152/49812]	Loss: 0.4649	LR: 0.000800
Training Epoch: 36 [33216/49812]	Loss: 0.4869	LR: 0.000800
Training Epoch: 36 [33280/49812]	Loss: 0.2857	LR: 0.000800
Training Epoch: 36 [33344/49812]	Loss: 0.4200	LR: 0.000800
Training Epoch: 36 [33408/49812]	Loss: 0.2543	LR: 0.000800
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Training Epoch: 36 [49812/49812]	Loss: 0.7223	LR: 0.000800
Epoch 36 - Average Train Loss: 0.4035, Train Accuracy: 0.8744
Epoch 36 training time consumed: 264.14s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0103, Accuracy: 0.7998, Time consumed:17.56s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-36-best.pth
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Training Epoch: 37 [1856/49812]	Loss: 0.4330	LR: 0.000800
Training Epoch: 37 [1920/49812]	Loss: 0.4592	LR: 0.000800
Training Epoch: 37 [1984/49812]	Loss: 0.4116	LR: 0.000800
Training Epoch: 37 [2048/49812]	Loss: 0.4811	LR: 0.000800
Training Epoch: 37 [2112/49812]	Loss: 0.2211	LR: 0.000800
Training Epoch: 37 [2176/49812]	Loss: 0.4483	LR: 0.000800
Training Epoch: 37 [2240/49812]	Loss: 0.3730	LR: 0.000800
Training Epoch: 37 [2304/49812]	Loss: 0.2065	LR: 0.000800
Training Epoch: 37 [2368/49812]	Loss: 0.3903	LR: 0.000800
Training Epoch: 37 [2432/49812]	Loss: 0.4512	LR: 0.000800
Training Epoch: 37 [2496/49812]	Loss: 0.6648	LR: 0.000800
Training Epoch: 37 [2560/49812]	Loss: 0.2777	LR: 0.000800
Training Epoch: 37 [2624/49812]	Loss: 0.3140	LR: 0.000800
Training Epoch: 37 [2688/49812]	Loss: 0.3211	LR: 0.000800
Training Epoch: 37 [2752/49812]	Loss: 0.4239	LR: 0.000800
Training Epoch: 37 [2816/49812]	Loss: 0.3169	LR: 0.000800
Training Epoch: 37 [2880/49812]	Loss: 0.5909	LR: 0.000800
Training Epoch: 37 [2944/49812]	Loss: 0.4135	LR: 0.000800
Training Epoch: 37 [3008/49812]	Loss: 0.4236	LR: 0.000800
Training Epoch: 37 [3072/49812]	Loss: 0.2616	LR: 0.000800
Training Epoch: 37 [3136/49812]	Loss: 0.3416	LR: 0.000800
Training Epoch: 37 [3200/49812]	Loss: 0.4144	LR: 0.000800
Training Epoch: 37 [3264/49812]	Loss: 0.3073	LR: 0.000800
Training Epoch: 37 [3328/49812]	Loss: 0.3269	LR: 0.000800
Training Epoch: 37 [3392/49812]	Loss: 0.4194	LR: 0.000800
Training Epoch: 37 [3456/49812]	Loss: 0.3273	LR: 0.000800
Training Epoch: 37 [3520/49812]	Loss: 0.4088	LR: 0.000800
Training Epoch: 37 [3584/49812]	Loss: 0.3539	LR: 0.000800
Training Epoch: 37 [3648/49812]	Loss: 0.5536	LR: 0.000800
Training Epoch: 37 [3712/49812]	Loss: 0.3631	LR: 0.000800
Training Epoch: 37 [3776/49812]	Loss: 0.4809	LR: 0.000800
Training Epoch: 37 [3840/49812]	Loss: 0.4320	LR: 0.000800
Training Epoch: 37 [3904/49812]	Loss: 0.6730	LR: 0.000800
Training Epoch: 37 [3968/49812]	Loss: 0.4174	LR: 0.000800
Training Epoch: 37 [4032/49812]	Loss: 0.3858	LR: 0.000800
Training Epoch: 37 [4096/49812]	Loss: 0.3099	LR: 0.000800
Training Epoch: 37 [4160/49812]	Loss: 0.3830	LR: 0.000800
Training Epoch: 37 [4224/49812]	Loss: 0.4035	LR: 0.000800
Training Epoch: 37 [4288/49812]	Loss: 0.4769	LR: 0.000800
Training Epoch: 37 [4352/49812]	Loss: 0.3764	LR: 0.000800
Training Epoch: 37 [4416/49812]	Loss: 0.3763	LR: 0.000800
Training Epoch: 37 [4480/49812]	Loss: 0.4695	LR: 0.000800
Training Epoch: 37 [4544/49812]	Loss: 0.5632	LR: 0.000800
Training Epoch: 37 [4608/49812]	Loss: 0.4953	LR: 0.000800
Training Epoch: 37 [4672/49812]	Loss: 0.4448	LR: 0.000800
Training Epoch: 37 [4736/49812]	Loss: 0.3618	LR: 0.000800
Training Epoch: 37 [4800/49812]	Loss: 0.3996	LR: 0.000800
Training Epoch: 37 [4864/49812]	Loss: 0.3832	LR: 0.000800
Training Epoch: 37 [4928/49812]	Loss: 0.4075	LR: 0.000800
Training Epoch: 37 [4992/49812]	Loss: 0.4696	LR: 0.000800
Training Epoch: 37 [5056/49812]	Loss: 0.3087	LR: 0.000800
Training Epoch: 37 [5120/49812]	Loss: 0.3871	LR: 0.000800
Training Epoch: 37 [5184/49812]	Loss: 0.3350	LR: 0.000800
Training Epoch: 37 [5248/49812]	Loss: 0.3246	LR: 0.000800
Training Epoch: 37 [5312/49812]	Loss: 0.2773	LR: 0.000800
Training Epoch: 37 [5376/49812]	Loss: 0.6560	LR: 0.000800
Training Epoch: 37 [5440/49812]	Loss: 0.3755	LR: 0.000800
Training Epoch: 37 [5504/49812]	Loss: 0.2620	LR: 0.000800
Training Epoch: 37 [5568/49812]	Loss: 0.4071	LR: 0.000800
Training Epoch: 37 [5632/49812]	Loss: 0.4428	LR: 0.000800
Training Epoch: 37 [5696/49812]	Loss: 0.3220	LR: 0.000800
Training Epoch: 37 [5760/49812]	Loss: 0.3845	LR: 0.000800
Training Epoch: 37 [5824/49812]	Loss: 0.4265	LR: 0.000800
Training Epoch: 37 [5888/49812]	Loss: 0.3693	LR: 0.000800
Training Epoch: 37 [5952/49812]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [6016/49812]	Loss: 0.5272	LR: 0.000800
Training Epoch: 37 [6080/49812]	Loss: 0.4093	LR: 0.000800
Training Epoch: 37 [6144/49812]	Loss: 0.3895	LR: 0.000800
Training Epoch: 37 [6208/49812]	Loss: 0.3826	LR: 0.000800
Training Epoch: 37 [6272/49812]	Loss: 0.4429	LR: 0.000800
Training Epoch: 37 [6336/49812]	Loss: 0.2546	LR: 0.000800
Training Epoch: 37 [6400/49812]	Loss: 0.5719	LR: 0.000800
Training Epoch: 37 [6464/49812]	Loss: 0.3614	LR: 0.000800
Training Epoch: 37 [6528/49812]	Loss: 0.4078	LR: 0.000800
Training Epoch: 37 [6592/49812]	Loss: 0.3422	LR: 0.000800
Training Epoch: 37 [6656/49812]	Loss: 0.5984	LR: 0.000800
Training Epoch: 37 [6720/49812]	Loss: 0.4822	LR: 0.000800
Training Epoch: 37 [6784/49812]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [6848/49812]	Loss: 0.2213	LR: 0.000800
Training Epoch: 37 [6912/49812]	Loss: 0.3742	LR: 0.000800
Training Epoch: 37 [6976/49812]	Loss: 0.3395	LR: 0.000800
Training Epoch: 37 [7040/49812]	Loss: 0.4452	LR: 0.000800
Training Epoch: 37 [7104/49812]	Loss: 0.3560	LR: 0.000800
Training Epoch: 37 [7168/49812]	Loss: 0.3342	LR: 0.000800
Training Epoch: 37 [7232/49812]	Loss: 0.4040	LR: 0.000800
Training Epoch: 37 [7296/49812]	Loss: 0.5810	LR: 0.000800
Training Epoch: 37 [7360/49812]	Loss: 0.3145	LR: 0.000800
Training Epoch: 37 [7424/49812]	Loss: 0.3861	LR: 0.000800
Training Epoch: 37 [7488/49812]	Loss: 0.3401	LR: 0.000800
Training Epoch: 37 [7552/49812]	Loss: 0.4137	LR: 0.000800
Training Epoch: 37 [7616/49812]	Loss: 0.5348	LR: 0.000800
Training Epoch: 37 [7680/49812]	Loss: 0.2482	LR: 0.000800
Training Epoch: 37 [7744/49812]	Loss: 0.3816	LR: 0.000800
Training Epoch: 37 [7808/49812]	Loss: 0.2531	LR: 0.000800
Training Epoch: 37 [7872/49812]	Loss: 0.3629	LR: 0.000800
Training Epoch: 37 [7936/49812]	Loss: 0.3941	LR: 0.000800
Training Epoch: 37 [8000/49812]	Loss: 0.2446	LR: 0.000800
Training Epoch: 37 [8064/49812]	Loss: 0.2694	LR: 0.000800
Training Epoch: 37 [8128/49812]	Loss: 0.6977	LR: 0.000800
Training Epoch: 37 [8192/49812]	Loss: 0.4429	LR: 0.000800
Training Epoch: 37 [8256/49812]	Loss: 0.4277	LR: 0.000800
Training Epoch: 37 [8320/49812]	Loss: 0.5439	LR: 0.000800
Training Epoch: 37 [8384/49812]	Loss: 0.3899	LR: 0.000800
Training Epoch: 37 [8448/49812]	Loss: 0.3618	LR: 0.000800
Training Epoch: 37 [8512/49812]	Loss: 0.4330	LR: 0.000800
Training Epoch: 37 [8576/49812]	Loss: 0.4695	LR: 0.000800
Training Epoch: 37 [8640/49812]	Loss: 0.2251	LR: 0.000800
Training Epoch: 37 [8704/49812]	Loss: 0.4345	LR: 0.000800
Training Epoch: 37 [8768/49812]	Loss: 0.3651	LR: 0.000800
Training Epoch: 37 [8832/49812]	Loss: 0.3812	LR: 0.000800
Training Epoch: 37 [8896/49812]	Loss: 0.5666	LR: 0.000800
Training Epoch: 37 [8960/49812]	Loss: 0.3101	LR: 0.000800
Training Epoch: 37 [9024/49812]	Loss: 0.3263	LR: 0.000800
Training Epoch: 37 [9088/49812]	Loss: 0.3752	LR: 0.000800
Training Epoch: 37 [9152/49812]	Loss: 0.4365	LR: 0.000800
Training Epoch: 37 [9216/49812]	Loss: 0.4270	LR: 0.000800
Training Epoch: 37 [9280/49812]	Loss: 0.2981	LR: 0.000800
Training Epoch: 37 [9344/49812]	Loss: 0.2378	LR: 0.000800
Training Epoch: 37 [9408/49812]	Loss: 0.3679	LR: 0.000800
Training Epoch: 37 [9472/49812]	Loss: 0.5038	LR: 0.000800
Training Epoch: 37 [9536/49812]	Loss: 0.3070	LR: 0.000800
Training Epoch: 37 [9600/49812]	Loss: 0.4269	LR: 0.000800
Training Epoch: 37 [9664/49812]	Loss: 0.3396	LR: 0.000800
Training Epoch: 37 [9728/49812]	Loss: 0.5240	LR: 0.000800
Training Epoch: 37 [9792/49812]	Loss: 0.3614	LR: 0.000800
Training Epoch: 37 [9856/49812]	Loss: 0.4834	LR: 0.000800
Training Epoch: 37 [9920/49812]	Loss: 0.3267	LR: 0.000800
Training Epoch: 37 [9984/49812]	Loss: 0.5814	LR: 0.000800
Training Epoch: 37 [10048/49812]	Loss: 0.5083	LR: 0.000800
Training Epoch: 37 [10112/49812]	Loss: 0.2827	LR: 0.000800
Training Epoch: 37 [10176/49812]	Loss: 0.2653	LR: 0.000800
Training Epoch: 37 [10240/49812]	Loss: 0.4858	LR: 0.000800
Training Epoch: 37 [10304/49812]	Loss: 0.4573	LR: 0.000800
Training Epoch: 37 [10368/49812]	Loss: 0.4723	LR: 0.000800
Training Epoch: 37 [10432/49812]	Loss: 0.5320	LR: 0.000800
Training Epoch: 37 [10496/49812]	Loss: 0.5264	LR: 0.000800
Training Epoch: 37 [10560/49812]	Loss: 0.3124	LR: 0.000800
Training Epoch: 37 [10624/49812]	Loss: 0.3217	LR: 0.000800
Training Epoch: 37 [10688/49812]	Loss: 0.2830	LR: 0.000800
Training Epoch: 37 [10752/49812]	Loss: 0.4976	LR: 0.000800
Training Epoch: 37 [10816/49812]	Loss: 0.3291	LR: 0.000800
Training Epoch: 37 [10880/49812]	Loss: 0.4171	LR: 0.000800
Training Epoch: 37 [10944/49812]	Loss: 0.4026	LR: 0.000800
Training Epoch: 37 [11008/49812]	Loss: 0.3027	LR: 0.000800
Training Epoch: 37 [11072/49812]	Loss: 0.2615	LR: 0.000800
Training Epoch: 37 [11136/49812]	Loss: 0.2882	LR: 0.000800
Training Epoch: 37 [11200/49812]	Loss: 0.5980	LR: 0.000800
Training Epoch: 37 [11264/49812]	Loss: 0.4905	LR: 0.000800
Training Epoch: 37 [11328/49812]	Loss: 0.3129	LR: 0.000800
Training Epoch: 37 [11392/49812]	Loss: 0.4785	LR: 0.000800
Training Epoch: 37 [11456/49812]	Loss: 0.4277	LR: 0.000800
Training Epoch: 37 [11520/49812]	Loss: 0.5955	LR: 0.000800
Training Epoch: 37 [11584/49812]	Loss: 0.3207	LR: 0.000800
Training Epoch: 37 [11648/49812]	Loss: 0.4317	LR: 0.000800
Training Epoch: 37 [11712/49812]	Loss: 0.2689	LR: 0.000800
Training Epoch: 37 [11776/49812]	Loss: 0.4454	LR: 0.000800
Training Epoch: 37 [11840/49812]	Loss: 0.4924	LR: 0.000800
Training Epoch: 37 [11904/49812]	Loss: 0.3575	LR: 0.000800
Training Epoch: 37 [11968/49812]	Loss: 0.3829	LR: 0.000800
Training Epoch: 37 [12032/49812]	Loss: 0.2126	LR: 0.000800
Training Epoch: 37 [12096/49812]	Loss: 0.3781	LR: 0.000800
Training Epoch: 37 [12160/49812]	Loss: 0.4807	LR: 0.000800
Training Epoch: 37 [12224/49812]	Loss: 0.2882	LR: 0.000800
Training Epoch: 37 [12288/49812]	Loss: 0.4715	LR: 0.000800
Training Epoch: 37 [12352/49812]	Loss: 0.3771	LR: 0.000800
Training Epoch: 37 [12416/49812]	Loss: 0.3386	LR: 0.000800
Training Epoch: 37 [12480/49812]	Loss: 0.4396	LR: 0.000800
Training Epoch: 37 [12544/49812]	Loss: 0.3543	LR: 0.000800
Training Epoch: 37 [12608/49812]	Loss: 0.4563	LR: 0.000800
Training Epoch: 37 [12672/49812]	Loss: 0.3790	LR: 0.000800
Training Epoch: 37 [12736/49812]	Loss: 0.4015	LR: 0.000800
Training Epoch: 37 [12800/49812]	Loss: 0.3794	LR: 0.000800
Training Epoch: 37 [12864/49812]	Loss: 0.3386	LR: 0.000800
Training Epoch: 37 [12928/49812]	Loss: 0.3835	LR: 0.000800
Training Epoch: 37 [12992/49812]	Loss: 0.3128	LR: 0.000800
Training Epoch: 37 [13056/49812]	Loss: 0.4519	LR: 0.000800
Training Epoch: 37 [13120/49812]	Loss: 0.3282	LR: 0.000800
Training Epoch: 37 [13184/49812]	Loss: 0.4496	LR: 0.000800
Training Epoch: 37 [13248/49812]	Loss: 0.3674	LR: 0.000800
Training Epoch: 37 [13312/49812]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [13376/49812]	Loss: 0.2667	LR: 0.000800
Training Epoch: 37 [13440/49812]	Loss: 0.3986	LR: 0.000800
Training Epoch: 37 [13504/49812]	Loss: 0.2279	LR: 0.000800
Training Epoch: 37 [13568/49812]	Loss: 0.2486	LR: 0.000800
Training Epoch: 37 [13632/49812]	Loss: 0.3967	LR: 0.000800
Training Epoch: 37 [13696/49812]	Loss: 0.4777	LR: 0.000800
Training Epoch: 37 [13760/49812]	Loss: 0.3119	LR: 0.000800
Training Epoch: 37 [13824/49812]	Loss: 0.7045	LR: 0.000800
Training Epoch: 37 [13888/49812]	Loss: 0.6537	LR: 0.000800
Training Epoch: 37 [13952/49812]	Loss: 0.4474	LR: 0.000800
Training Epoch: 37 [14016/49812]	Loss: 0.3990	LR: 0.000800
Training Epoch: 37 [14080/49812]	Loss: 0.4078	LR: 0.000800
Training Epoch: 37 [14144/49812]	Loss: 0.3900	LR: 0.000800
Training Epoch: 37 [14208/49812]	Loss: 0.2665	LR: 0.000800
Training Epoch: 37 [14272/49812]	Loss: 0.5340	LR: 0.000800
Training Epoch: 37 [14336/49812]	Loss: 0.4397	LR: 0.000800
Training Epoch: 37 [14400/49812]	Loss: 0.5736	LR: 0.000800
Training Epoch: 37 [14464/49812]	Loss: 0.4817	LR: 0.000800
Training Epoch: 37 [14528/49812]	Loss: 0.3755	LR: 0.000800
Training Epoch: 37 [14592/49812]	Loss: 0.2252	LR: 0.000800
Training Epoch: 37 [14656/49812]	Loss: 0.5058	LR: 0.000800
Training Epoch: 37 [14720/49812]	Loss: 0.4524	LR: 0.000800
Training Epoch: 37 [14784/49812]	Loss: 0.4840	LR: 0.000800
Training Epoch: 37 [14848/49812]	Loss: 0.4590	LR: 0.000800
Training Epoch: 37 [14912/49812]	Loss: 0.3745	LR: 0.000800
Training Epoch: 37 [14976/49812]	Loss: 0.4628	LR: 0.000800
Training Epoch: 37 [15040/49812]	Loss: 0.3513	LR: 0.000800
Training Epoch: 37 [15104/49812]	Loss: 0.5454	LR: 0.000800
Training Epoch: 37 [15168/49812]	Loss: 0.2225	LR: 0.000800
Training Epoch: 37 [15232/49812]	Loss: 0.2069	LR: 0.000800
Training Epoch: 37 [15296/49812]	Loss: 0.5519	LR: 0.000800
Training Epoch: 37 [15360/49812]	Loss: 0.6132	LR: 0.000800
Training Epoch: 37 [15424/49812]	Loss: 0.4367	LR: 0.000800
Training Epoch: 37 [15488/49812]	Loss: 0.3328	LR: 0.000800
Training Epoch: 37 [15552/49812]	Loss: 0.2322	LR: 0.000800
Training Epoch: 37 [15616/49812]	Loss: 0.4082	LR: 0.000800
Training Epoch: 37 [15680/49812]	Loss: 0.4498	LR: 0.000800
Training Epoch: 37 [15744/49812]	Loss: 0.4693	LR: 0.000800
Training Epoch: 37 [15808/49812]	Loss: 0.5671	LR: 0.000800
Training Epoch: 37 [15872/49812]	Loss: 0.4057	LR: 0.000800
Training Epoch: 37 [15936/49812]	Loss: 0.2785	LR: 0.000800
Training Epoch: 37 [16000/49812]	Loss: 0.3287	LR: 0.000800
Training Epoch: 37 [16064/49812]	Loss: 0.4155	LR: 0.000800
Training Epoch: 37 [16128/49812]	Loss: 0.4301	LR: 0.000800
Training Epoch: 37 [16192/49812]	Loss: 0.3253	LR: 0.000800
Training Epoch: 37 [16256/49812]	Loss: 0.4468	LR: 0.000800
Training Epoch: 37 [16320/49812]	Loss: 0.4481	LR: 0.000800
Training Epoch: 37 [16384/49812]	Loss: 0.2962	LR: 0.000800
Training Epoch: 37 [16448/49812]	Loss: 0.6701	LR: 0.000800
Training Epoch: 37 [16512/49812]	Loss: 0.2331	LR: 0.000800
Training Epoch: 37 [16576/49812]	Loss: 0.4148	LR: 0.000800
Training Epoch: 37 [16640/49812]	Loss: 0.5093	LR: 0.000800
Training Epoch: 37 [16704/49812]	Loss: 0.4952	LR: 0.000800
Training Epoch: 37 [16768/49812]	Loss: 0.2959	LR: 0.000800
Training Epoch: 37 [16832/49812]	Loss: 0.3939	LR: 0.000800
Training Epoch: 37 [16896/49812]	Loss: 0.4936	LR: 0.000800
Training Epoch: 37 [16960/49812]	Loss: 0.5765	LR: 0.000800
Training Epoch: 37 [17024/49812]	Loss: 0.5331	LR: 0.000800
Training Epoch: 37 [17088/49812]	Loss: 0.3646	LR: 0.000800
Training Epoch: 37 [17152/49812]	Loss: 0.4556	LR: 0.000800
Training Epoch: 37 [17216/49812]	Loss: 0.3462	LR: 0.000800
Training Epoch: 37 [17280/49812]	Loss: 0.4255	LR: 0.000800
Training Epoch: 37 [17344/49812]	Loss: 0.3713	LR: 0.000800
Training Epoch: 37 [17408/49812]	Loss: 0.4255	LR: 0.000800
Training Epoch: 37 [17472/49812]	Loss: 0.4035	LR: 0.000800
Training Epoch: 37 [17536/49812]	Loss: 0.3402	LR: 0.000800
Training Epoch: 37 [17600/49812]	Loss: 0.4139	LR: 0.000800
Training Epoch: 37 [17664/49812]	Loss: 0.3782	LR: 0.000800
Training Epoch: 37 [17728/49812]	Loss: 0.3084	LR: 0.000800
Training Epoch: 37 [17792/49812]	Loss: 0.4231	LR: 0.000800
Training Epoch: 37 [17856/49812]	Loss: 0.5454	LR: 0.000800
Training Epoch: 37 [17920/49812]	Loss: 0.4673	LR: 0.000800
Training Epoch: 37 [17984/49812]	Loss: 0.3541	LR: 0.000800
Training Epoch: 37 [18048/49812]	Loss: 0.4515	LR: 0.000800
Training Epoch: 37 [18112/49812]	Loss: 0.3593	LR: 0.000800
Training Epoch: 37 [18176/49812]	Loss: 0.4961	LR: 0.000800
Training Epoch: 37 [18240/49812]	Loss: 0.2941	LR: 0.000800
Training Epoch: 37 [18304/49812]	Loss: 0.4022	LR: 0.000800
Training Epoch: 37 [18368/49812]	Loss: 0.5435	LR: 0.000800
Training Epoch: 37 [18432/49812]	Loss: 0.4606	LR: 0.000800
Training Epoch: 37 [18496/49812]	Loss: 0.4320	LR: 0.000800
Training Epoch: 37 [18560/49812]	Loss: 0.2921	LR: 0.000800
Training Epoch: 37 [18624/49812]	Loss: 0.5071	LR: 0.000800
Training Epoch: 37 [18688/49812]	Loss: 0.4679	LR: 0.000800
Training Epoch: 37 [18752/49812]	Loss: 0.3425	LR: 0.000800
Training Epoch: 37 [18816/49812]	Loss: 0.3533	LR: 0.000800
Training Epoch: 37 [18880/49812]	Loss: 0.2656	LR: 0.000800
Training Epoch: 37 [18944/49812]	Loss: 0.4891	LR: 0.000800
Training Epoch: 37 [19008/49812]	Loss: 0.2930	LR: 0.000800
Training Epoch: 37 [19072/49812]	Loss: 0.3773	LR: 0.000800
Training Epoch: 37 [19136/49812]	Loss: 0.4313	LR: 0.000800
Training Epoch: 37 [19200/49812]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [19264/49812]	Loss: 0.3176	LR: 0.000800
Training Epoch: 37 [19328/49812]	Loss: 0.4676	LR: 0.000800
Training Epoch: 37 [19392/49812]	Loss: 0.1982	LR: 0.000800
Training Epoch: 37 [19456/49812]	Loss: 0.3498	LR: 0.000800
Training Epoch: 37 [19520/49812]	Loss: 0.4825	LR: 0.000800
Training Epoch: 37 [19584/49812]	Loss: 0.4445	LR: 0.000800
Training Epoch: 37 [19648/49812]	Loss: 0.6017	LR: 0.000800
Training Epoch: 37 [19712/49812]	Loss: 0.4122	LR: 0.000800
Training Epoch: 37 [19776/49812]	Loss: 0.3799	LR: 0.000800
Training Epoch: 37 [19840/49812]	Loss: 0.4421	LR: 0.000800
Training Epoch: 37 [19904/49812]	Loss: 0.4259	LR: 0.000800
Training Epoch: 37 [19968/49812]	Loss: 0.3531	LR: 0.000800
Training Epoch: 37 [20032/49812]	Loss: 0.3126	LR: 0.000800
Training Epoch: 37 [20096/49812]	Loss: 0.3423	LR: 0.000800
Training Epoch: 37 [20160/49812]	Loss: 0.5444	LR: 0.000800
Training Epoch: 37 [20224/49812]	Loss: 0.2583	LR: 0.000800
Training Epoch: 37 [20288/49812]	Loss: 0.3917	LR: 0.000800
Training Epoch: 37 [20352/49812]	Loss: 0.3250	LR: 0.000800
Training Epoch: 37 [20416/49812]	Loss: 0.5078	LR: 0.000800
Training Epoch: 37 [20480/49812]	Loss: 0.4720	LR: 0.000800
Training Epoch: 37 [20544/49812]	Loss: 0.3840	LR: 0.000800
Training Epoch: 37 [20608/49812]	Loss: 0.3913	LR: 0.000800
Training Epoch: 37 [20672/49812]	Loss: 0.3205	LR: 0.000800
Training Epoch: 37 [20736/49812]	Loss: 0.2910	LR: 0.000800
Training Epoch: 37 [20800/49812]	Loss: 0.2729	LR: 0.000800
Training Epoch: 37 [20864/49812]	Loss: 0.3920	LR: 0.000800
Training Epoch: 37 [20928/49812]	Loss: 0.3326	LR: 0.000800
Training Epoch: 37 [20992/49812]	Loss: 0.4849	LR: 0.000800
Training Epoch: 37 [21056/49812]	Loss: 0.3808	LR: 0.000800
Training Epoch: 37 [21120/49812]	Loss: 0.5166	LR: 0.000800
Training Epoch: 37 [21184/49812]	Loss: 0.4084	LR: 0.000800
Training Epoch: 37 [21248/49812]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [21312/49812]	Loss: 0.4017	LR: 0.000800
Training Epoch: 37 [21376/49812]	Loss: 0.2145	LR: 0.000800
Training Epoch: 37 [21440/49812]	Loss: 0.4086	LR: 0.000800
Training Epoch: 37 [21504/49812]	Loss: 0.2927	LR: 0.000800
Training Epoch: 37 [21568/49812]	Loss: 0.3364	LR: 0.000800
Training Epoch: 37 [21632/49812]	Loss: 0.5898	LR: 0.000800
Training Epoch: 37 [21696/49812]	Loss: 0.3003	LR: 0.000800
Training Epoch: 37 [21760/49812]	Loss: 0.3439	LR: 0.000800
Training Epoch: 37 [21824/49812]	Loss: 0.4762	LR: 0.000800
Training Epoch: 37 [21888/49812]	Loss: 0.3627	LR: 0.000800
Training Epoch: 37 [21952/49812]	Loss: 0.2792	LR: 0.000800
Training Epoch: 37 [22016/49812]	Loss: 0.3161	LR: 0.000800
Training Epoch: 37 [22080/49812]	Loss: 0.4657	LR: 0.000800
Training Epoch: 37 [22144/49812]	Loss: 0.2778	LR: 0.000800
Training Epoch: 37 [22208/49812]	Loss: 0.4115	LR: 0.000800
Training Epoch: 37 [22272/49812]	Loss: 0.4002	LR: 0.000800
Training Epoch: 37 [22336/49812]	Loss: 0.2670	LR: 0.000800
Training Epoch: 37 [22400/49812]	Loss: 0.3855	LR: 0.000800
Training Epoch: 37 [22464/49812]	Loss: 0.5181	LR: 0.000800
Training Epoch: 37 [22528/49812]	Loss: 0.4809	LR: 0.000800
Training Epoch: 37 [22592/49812]	Loss: 0.3749	LR: 0.000800
Training Epoch: 37 [22656/49812]	Loss: 0.4397	LR: 0.000800
Training Epoch: 37 [22720/49812]	Loss: 0.2297	LR: 0.000800
Training Epoch: 37 [22784/49812]	Loss: 0.5939	LR: 0.000800
Training Epoch: 37 [22848/49812]	Loss: 0.3668	LR: 0.000800
Training Epoch: 37 [22912/49812]	Loss: 0.3748	LR: 0.000800
Training Epoch: 37 [22976/49812]	Loss: 0.4822	LR: 0.000800
Training Epoch: 37 [23040/49812]	Loss: 0.3670	LR: 0.000800
Training Epoch: 37 [23104/49812]	Loss: 0.3512	LR: 0.000800
Training Epoch: 37 [23168/49812]	Loss: 0.2666	LR: 0.000800
Training Epoch: 37 [23232/49812]	Loss: 0.1717	LR: 0.000800
Training Epoch: 37 [23296/49812]	Loss: 0.4444	LR: 0.000800
Training Epoch: 37 [23360/49812]	Loss: 0.3269	LR: 0.000800
Training Epoch: 37 [23424/49812]	Loss: 0.2322	LR: 0.000800
Training Epoch: 37 [23488/49812]	Loss: 0.3702	LR: 0.000800
Training Epoch: 37 [23552/49812]	Loss: 0.5230	LR: 0.000800
Training Epoch: 37 [23616/49812]	Loss: 0.5007	LR: 0.000800
Training Epoch: 37 [23680/49812]	Loss: 0.4018	LR: 0.000800
Training Epoch: 37 [23744/49812]	Loss: 0.3337	LR: 0.000800
Training Epoch: 37 [23808/49812]	Loss: 0.2955	LR: 0.000800
Training Epoch: 37 [23872/49812]	Loss: 0.2867	LR: 0.000800
Training Epoch: 37 [23936/49812]	Loss: 0.3904	LR: 0.000800
Training Epoch: 37 [24000/49812]	Loss: 0.4638	LR: 0.000800
Training Epoch: 37 [24064/49812]	Loss: 0.3879	LR: 0.000800
Training Epoch: 37 [24128/49812]	Loss: 0.3536	LR: 0.000800
Training Epoch: 37 [24192/49812]	Loss: 0.4034	LR: 0.000800
Training Epoch: 37 [24256/49812]	Loss: 0.3701	LR: 0.000800
Training Epoch: 37 [24320/49812]	Loss: 0.3656	LR: 0.000800
Training Epoch: 37 [24384/49812]	Loss: 0.3330	LR: 0.000800
Training Epoch: 37 [24448/49812]	Loss: 0.4436	LR: 0.000800
Training Epoch: 37 [24512/49812]	Loss: 0.4355	LR: 0.000800
Training Epoch: 37 [24576/49812]	Loss: 0.3698	LR: 0.000800
Training Epoch: 37 [24640/49812]	Loss: 0.3376	LR: 0.000800
Training Epoch: 37 [24704/49812]	Loss: 0.3812	LR: 0.000800
Training Epoch: 37 [24768/49812]	Loss: 0.3602	LR: 0.000800
Training Epoch: 37 [24832/49812]	Loss: 0.5305	LR: 0.000800
Training Epoch: 37 [24896/49812]	Loss: 0.4501	LR: 0.000800
Training Epoch: 37 [24960/49812]	Loss: 0.2917	LR: 0.000800
Training Epoch: 37 [25024/49812]	Loss: 0.3357	LR: 0.000800
Training Epoch: 37 [25088/49812]	Loss: 0.2878	LR: 0.000800
Training Epoch: 37 [25152/49812]	Loss: 0.4331	LR: 0.000800
Training Epoch: 37 [25216/49812]	Loss: 0.4080	LR: 0.000800
Training Epoch: 37 [25280/49812]	Loss: 0.4004	LR: 0.000800
Training Epoch: 37 [25344/49812]	Loss: 0.6275	LR: 0.000800
Training Epoch: 37 [25408/49812]	Loss: 0.4121	LR: 0.000800
Training Epoch: 37 [25472/49812]	Loss: 0.5049	LR: 0.000800
Training Epoch: 37 [25536/49812]	Loss: 0.3209	LR: 0.000800
Training Epoch: 37 [25600/49812]	Loss: 0.2721	LR: 0.000800
Training Epoch: 37 [25664/49812]	Loss: 0.3248	LR: 0.000800
Training Epoch: 37 [25728/49812]	Loss: 0.5652	LR: 0.000800
Training Epoch: 37 [25792/49812]	Loss: 0.3469	LR: 0.000800
Training Epoch: 37 [25856/49812]	Loss: 0.4767	LR: 0.000800
Training Epoch: 37 [25920/49812]	Loss: 0.3557	LR: 0.000800
Training Epoch: 37 [25984/49812]	Loss: 0.2743	LR: 0.000800
Training Epoch: 37 [26048/49812]	Loss: 0.3446	LR: 0.000800
Training Epoch: 37 [26112/49812]	Loss: 0.4906	LR: 0.000800
Training Epoch: 37 [26176/49812]	Loss: 0.4906	LR: 0.000800
Training Epoch: 37 [26240/49812]	Loss: 0.3981	LR: 0.000800
Training Epoch: 37 [26304/49812]	Loss: 0.5245	LR: 0.000800
Training Epoch: 37 [26368/49812]	Loss: 0.4031	LR: 0.000800
Training Epoch: 37 [26432/49812]	Loss: 0.3763	LR: 0.000800
Training Epoch: 37 [26496/49812]	Loss: 0.4651	LR: 0.000800
Training Epoch: 37 [26560/49812]	Loss: 0.3396	LR: 0.000800
Training Epoch: 37 [26624/49812]	Loss: 0.4707	LR: 0.000800
Training Epoch: 37 [26688/49812]	Loss: 0.4484	LR: 0.000800
Training Epoch: 37 [26752/49812]	Loss: 0.6187	LR: 0.000800
Training Epoch: 37 [26816/49812]	Loss: 0.4526	LR: 0.000800
Training Epoch: 37 [26880/49812]	Loss: 0.4696	LR: 0.000800
Training Epoch: 37 [26944/49812]	Loss: 0.3549	LR: 0.000800
Training Epoch: 37 [27008/49812]	Loss: 0.4620	LR: 0.000800
Training Epoch: 37 [27072/49812]	Loss: 0.2986	LR: 0.000800
Training Epoch: 37 [27136/49812]	Loss: 0.2533	LR: 0.000800
Training Epoch: 37 [27200/49812]	Loss: 0.3471	LR: 0.000800
Training Epoch: 37 [27264/49812]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [27328/49812]	Loss: 0.4505	LR: 0.000800
Training Epoch: 37 [27392/49812]	Loss: 0.5195	LR: 0.000800
Training Epoch: 37 [27456/49812]	Loss: 0.2011	LR: 0.000800
Training Epoch: 37 [27520/49812]	Loss: 0.3025	LR: 0.000800
Training Epoch: 37 [27584/49812]	Loss: 0.4180	LR: 0.000800
Training Epoch: 37 [27648/49812]	Loss: 0.3068	LR: 0.000800
Training Epoch: 37 [27712/49812]	Loss: 0.3997	LR: 0.000800
Training Epoch: 37 [27776/49812]	Loss: 0.4331	LR: 0.000800
Training Epoch: 37 [27840/49812]	Loss: 0.5737	LR: 0.000800
Training Epoch: 37 [27904/49812]	Loss: 0.4509	LR: 0.000800
Training Epoch: 37 [27968/49812]	Loss: 0.3320	LR: 0.000800
Training Epoch: 37 [28032/49812]	Loss: 0.3000	LR: 0.000800
Training Epoch: 37 [28096/49812]	Loss: 0.2559	LR: 0.000800
Training Epoch: 37 [28160/49812]	Loss: 0.4881	LR: 0.000800
Training Epoch: 37 [28224/49812]	Loss: 0.3532	LR: 0.000800
Training Epoch: 37 [28288/49812]	Loss: 0.4123	LR: 0.000800
Training Epoch: 37 [28352/49812]	Loss: 0.5841	LR: 0.000800
Training Epoch: 37 [28416/49812]	Loss: 0.4438	LR: 0.000800
Training Epoch: 37 [28480/49812]	Loss: 0.4312	LR: 0.000800
Training Epoch: 37 [28544/49812]	Loss: 0.3464	LR: 0.000800
Training Epoch: 37 [28608/49812]	Loss: 0.5525	LR: 0.000800
Training Epoch: 37 [28672/49812]	Loss: 0.3462	LR: 0.000800
Training Epoch: 37 [28736/49812]	Loss: 0.3543	LR: 0.000800
Training Epoch: 37 [28800/49812]	Loss: 0.4106	LR: 0.000800
Training Epoch: 37 [28864/49812]	Loss: 0.2817	LR: 0.000800
Training Epoch: 37 [28928/49812]	Loss: 0.4127	LR: 0.000800
Training Epoch: 37 [28992/49812]	Loss: 0.3648	LR: 0.000800
Training Epoch: 37 [29056/49812]	Loss: 0.5483	LR: 0.000800
Training Epoch: 37 [29120/49812]	Loss: 0.3286	LR: 0.000800
Training Epoch: 37 [29184/49812]	Loss: 0.4452	LR: 0.000800
Training Epoch: 37 [29248/49812]	Loss: 0.2461	LR: 0.000800
Training Epoch: 37 [29312/49812]	Loss: 0.3993	LR: 0.000800
Training Epoch: 37 [29376/49812]	Loss: 0.3940	LR: 0.000800
Training Epoch: 37 [29440/49812]	Loss: 0.3109	LR: 0.000800
Training Epoch: 37 [29504/49812]	Loss: 0.3456	LR: 0.000800
Training Epoch: 37 [29568/49812]	Loss: 0.3191	LR: 0.000800
Training Epoch: 37 [29632/49812]	Loss: 0.2945	LR: 0.000800
Training Epoch: 37 [29696/49812]	Loss: 0.4112	LR: 0.000800
Training Epoch: 37 [29760/49812]	Loss: 0.5862	LR: 0.000800
Training Epoch: 37 [29824/49812]	Loss: 0.4243	LR: 0.000800
Training Epoch: 37 [29888/49812]	Loss: 0.2214	LR: 0.000800
Training Epoch: 37 [29952/49812]	Loss: 0.3964	LR: 0.000800
Training Epoch: 37 [30016/49812]	Loss: 0.5637	LR: 0.000800
Training Epoch: 37 [30080/49812]	Loss: 0.4106	LR: 0.000800
Training Epoch: 37 [30144/49812]	Loss: 0.3707	LR: 0.000800
Training Epoch: 37 [30208/49812]	Loss: 0.2870	LR: 0.000800
Training Epoch: 37 [30272/49812]	Loss: 0.4757	LR: 0.000800
Training Epoch: 37 [30336/49812]	Loss: 0.2746	LR: 0.000800
Training Epoch: 37 [30400/49812]	Loss: 0.3993	LR: 0.000800
Training Epoch: 37 [30464/49812]	Loss: 0.4079	LR: 0.000800
Training Epoch: 37 [30528/49812]	Loss: 0.5306	LR: 0.000800
Training Epoch: 37 [30592/49812]	Loss: 0.3067	LR: 0.000800
Training Epoch: 37 [30656/49812]	Loss: 0.5232	LR: 0.000800
Training Epoch: 37 [30720/49812]	Loss: 0.4642	LR: 0.000800
Training Epoch: 37 [30784/49812]	Loss: 0.5106	LR: 0.000800
Training Epoch: 37 [30848/49812]	Loss: 0.5248	LR: 0.000800
Training Epoch: 37 [30912/49812]	Loss: 0.5364	LR: 0.000800
Training Epoch: 37 [30976/49812]	Loss: 0.2851	LR: 0.000800
Training Epoch: 37 [31040/49812]	Loss: 0.3909	LR: 0.000800
Training Epoch: 37 [31104/49812]	Loss: 0.3375	LR: 0.000800
Training Epoch: 37 [31168/49812]	Loss: 0.4590	LR: 0.000800
Training Epoch: 37 [31232/49812]	Loss: 0.4707	LR: 0.000800
Training Epoch: 37 [31296/49812]	Loss: 0.2915	LR: 0.000800
Training Epoch: 37 [31360/49812]	Loss: 0.4629	LR: 0.000800
Training Epoch: 37 [31424/49812]	Loss: 0.3528	LR: 0.000800
Training Epoch: 37 [31488/49812]	Loss: 0.4941	LR: 0.000800
Training Epoch: 37 [31552/49812]	Loss: 0.5668	LR: 0.000800
Training Epoch: 37 [31616/49812]	Loss: 0.3431	LR: 0.000800
Training Epoch: 37 [31680/49812]	Loss: 0.5451	LR: 0.000800
Training Epoch: 37 [31744/49812]	Loss: 0.3388	LR: 0.000800
Training Epoch: 37 [31808/49812]	Loss: 0.4296	LR: 0.000800
Training Epoch: 37 [31872/49812]	Loss: 0.2451	LR: 0.000800
Training Epoch: 37 [31936/49812]	Loss: 0.3686	LR: 0.000800
Training Epoch: 37 [32000/49812]	Loss: 0.5045	LR: 0.000800
Training Epoch: 37 [32064/49812]	Loss: 0.3679	LR: 0.000800
Training Epoch: 37 [32128/49812]	Loss: 0.4442	LR: 0.000800
Training Epoch: 37 [32192/49812]	Loss: 0.5071	LR: 0.000800
Training Epoch: 37 [32256/49812]	Loss: 0.3692	LR: 0.000800
Training Epoch: 37 [32320/49812]	Loss: 0.4850	LR: 0.000800
Training Epoch: 37 [32384/49812]	Loss: 0.5496	LR: 0.000800
Training Epoch: 37 [32448/49812]	Loss: 0.4092	LR: 0.000800
Training Epoch: 37 [32512/49812]	Loss: 0.3448	LR: 0.000800
Training Epoch: 37 [32576/49812]	Loss: 0.3851	LR: 0.000800
Training Epoch: 37 [32640/49812]	Loss: 0.4113	LR: 0.000800
Training Epoch: 37 [32704/49812]	Loss: 0.4569	LR: 0.000800
Training Epoch: 37 [32768/49812]	Loss: 0.4213	LR: 0.000800
Training Epoch: 37 [32832/49812]	Loss: 0.5067	LR: 0.000800
Training Epoch: 37 [32896/49812]	Loss: 0.5275	LR: 0.000800
Training Epoch: 37 [32960/49812]	Loss: 0.4547	LR: 0.000800
Training Epoch: 37 [33024/49812]	Loss: 0.6437	LR: 0.000800
Training Epoch: 37 [33088/49812]	Loss: 0.4733	LR: 0.000800
Training Epoch: 37 [33152/49812]	Loss: 0.4770	LR: 0.000800
Training Epoch: 37 [33216/49812]	Loss: 0.5995	LR: 0.000800
Training Epoch: 37 [33280/49812]	Loss: 0.3225	LR: 0.000800
Training Epoch: 37 [33344/49812]	Loss: 0.4097	LR: 0.000800
Training Epoch: 37 [33408/49812]	Loss: 0.4932	LR: 0.000800
Training Epoch: 37 [33472/49812]	Loss: 0.5211	LR: 0.000800
Training Epoch: 37 [33536/49812]	Loss: 0.4603	LR: 0.000800
Training Epoch: 37 [33600/49812]	Loss: 0.3736	LR: 0.000800
Training Epoch: 37 [33664/49812]	Loss: 0.2921	LR: 0.000800
Training Epoch: 37 [33728/49812]	Loss: 0.2300	LR: 0.000800
Training Epoch: 37 [33792/49812]	Loss: 0.3154	LR: 0.000800
Training Epoch: 37 [33856/49812]	Loss: 0.3627	LR: 0.000800
Training Epoch: 37 [33920/49812]	Loss: 0.3840	LR: 0.000800
Training Epoch: 37 [33984/49812]	Loss: 0.3185	LR: 0.000800
Training Epoch: 37 [34048/49812]	Loss: 0.6343	LR: 0.000800
Training Epoch: 37 [34112/49812]	Loss: 0.4352	LR: 0.000800
Training Epoch: 37 [34176/49812]	Loss: 0.4548	LR: 0.000800
Training Epoch: 37 [34240/49812]	Loss: 0.5321	LR: 0.000800
Training Epoch: 37 [34304/49812]	Loss: 0.5455	LR: 0.000800
Training Epoch: 37 [34368/49812]	Loss: 0.4039	LR: 0.000800
Training Epoch: 37 [34432/49812]	Loss: 0.3269	LR: 0.000800
Training Epoch: 37 [34496/49812]	Loss: 0.3442	LR: 0.000800
Training Epoch: 37 [34560/49812]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [34624/49812]	Loss: 0.3148	LR: 0.000800
Training Epoch: 37 [34688/49812]	Loss: 0.3486	LR: 0.000800
Training Epoch: 37 [34752/49812]	Loss: 0.3553	LR: 0.000800
Training Epoch: 37 [34816/49812]	Loss: 0.3485	LR: 0.000800
Training Epoch: 37 [34880/49812]	Loss: 0.3445	LR: 0.000800
Training Epoch: 37 [34944/49812]	Loss: 0.3621	LR: 0.000800
Training Epoch: 37 [35008/49812]	Loss: 0.3146	LR: 0.000800
Training Epoch: 37 [35072/49812]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [35136/49812]	Loss: 0.4718	LR: 0.000800
Training Epoch: 37 [35200/49812]	Loss: 0.3334	LR: 0.000800
Training Epoch: 37 [35264/49812]	Loss: 0.4956	LR: 0.000800
Training Epoch: 37 [35328/49812]	Loss: 0.2923	LR: 0.000800
Training Epoch: 37 [35392/49812]	Loss: 0.5767	LR: 0.000800
Training Epoch: 37 [35456/49812]	Loss: 0.3907	LR: 0.000800
Training Epoch: 37 [35520/49812]	Loss: 0.3041	LR: 0.000800
Training Epoch: 37 [35584/49812]	Loss: 0.3254	LR: 0.000800
Training Epoch: 37 [35648/49812]	Loss: 0.3886	LR: 0.000800
Training Epoch: 37 [35712/49812]	Loss: 0.3699	LR: 0.000800
Training Epoch: 37 [35776/49812]	Loss: 0.1994	LR: 0.000800
Training Epoch: 37 [35840/49812]	Loss: 0.3924	LR: 0.000800
Training Epoch: 37 [35904/49812]	Loss: 0.2272	LR: 0.000800
Training Epoch: 37 [35968/49812]	Loss: 0.6149	LR: 0.000800
Training Epoch: 37 [36032/49812]	Loss: 0.5428	LR: 0.000800
Training Epoch: 37 [36096/49812]	Loss: 0.2401	LR: 0.000800
Training Epoch: 37 [36160/49812]	Loss: 0.5595	LR: 0.000800
Training Epoch: 37 [36224/49812]	Loss: 0.3864	LR: 0.000800
Training Epoch: 37 [36288/49812]	Loss: 0.3415	LR: 0.000800
Training Epoch: 37 [36352/49812]	Loss: 0.2234	LR: 0.000800
Training Epoch: 37 [36416/49812]	Loss: 0.4180	LR: 0.000800
Training Epoch: 37 [36480/49812]	Loss: 0.3126	LR: 0.000800
Training Epoch: 37 [36544/49812]	Loss: 0.3269	LR: 0.000800
Training Epoch: 37 [36608/49812]	Loss: 0.4808	LR: 0.000800
Training Epoch: 37 [36672/49812]	Loss: 0.3948	LR: 0.000800
Training Epoch: 37 [36736/49812]	Loss: 0.3791	LR: 0.000800
Training Epoch: 37 [36800/49812]	Loss: 0.5850	LR: 0.000800
Training Epoch: 37 [36864/49812]	Loss: 0.2974	LR: 0.000800
Training Epoch: 37 [36928/49812]	Loss: 0.3593	LR: 0.000800
Training Epoch: 37 [36992/49812]	Loss: 0.3502	LR: 0.000800
Training Epoch: 37 [37056/49812]	Loss: 0.4503	LR: 0.000800
Training Epoch: 37 [37120/49812]	Loss: 0.2264	LR: 0.000800
Training Epoch: 37 [37184/49812]	Loss: 0.5134	LR: 0.000800
Training Epoch: 37 [37248/49812]	Loss: 0.5196	LR: 0.000800
Training Epoch: 37 [37312/49812]	Loss: 0.3549	LR: 0.000800
Training Epoch: 37 [37376/49812]	Loss: 0.3326	LR: 0.000800
Training Epoch: 37 [37440/49812]	Loss: 0.3530	LR: 0.000800
Training Epoch: 37 [37504/49812]	Loss: 0.3381	LR: 0.000800
Training Epoch: 37 [37568/49812]	Loss: 0.3554	LR: 0.000800
Training Epoch: 37 [37632/49812]	Loss: 0.3973	LR: 0.000800
Training Epoch: 37 [37696/49812]	Loss: 0.5081	LR: 0.000800
Training Epoch: 37 [37760/49812]	Loss: 0.3954	LR: 0.000800
Training Epoch: 37 [37824/49812]	Loss: 0.4955	LR: 0.000800
Training Epoch: 37 [37888/49812]	Loss: 0.3068	LR: 0.000800
Training Epoch: 37 [37952/49812]	Loss: 0.3627	LR: 0.000800
Training Epoch: 37 [38016/49812]	Loss: 0.3364	LR: 0.000800
Training Epoch: 37 [38080/49812]	Loss: 0.3172	LR: 0.000800
Training Epoch: 37 [38144/49812]	Loss: 0.4429	LR: 0.000800
Training Epoch: 37 [38208/49812]	Loss: 0.3196	LR: 0.000800
Training Epoch: 37 [38272/49812]	Loss: 0.3994	LR: 0.000800
Training Epoch: 37 [38336/49812]	Loss: 0.3424	LR: 0.000800
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Training Epoch: 37 [38592/49812]	Loss: 0.2314	LR: 0.000800
Training Epoch: 37 [38656/49812]	Loss: 0.3754	LR: 0.000800
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Training Epoch: 37 [38784/49812]	Loss: 0.2972	LR: 0.000800
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Training Epoch: 37 [49812/49812]	Loss: 0.6043	LR: 0.000800
Epoch 37 - Average Train Loss: 0.3996, Train Accuracy: 0.8756
Epoch 37 training time consumed: 260.31s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0102, Accuracy: 0.8006, Time consumed:16.73s
Saving weights file to checkpoint/retrain_subclass/AllCNN/Tuesday_23_September_2025_04h_30m_13s/AllCNN-Cifar20-seed2-ret25-37-best.pth
Training Epoch: 38 [64/49812]	Loss: 0.2630	LR: 0.000800
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Training Epoch: 38 [7424/49812]	Loss: 0.3780	LR: 0.000800
Training Epoch: 38 [7488/49812]	Loss: 0.2807	LR: 0.000800
Training Epoch: 38 [7552/49812]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [7616/49812]	Loss: 0.3978	LR: 0.000800
Training Epoch: 38 [7680/49812]	Loss: 0.4404	LR: 0.000800
Training Epoch: 38 [7744/49812]	Loss: 0.3333	LR: 0.000800
Training Epoch: 38 [7808/49812]	Loss: 0.5238	LR: 0.000800
Training Epoch: 38 [7872/49812]	Loss: 0.5581	LR: 0.000800
Training Epoch: 38 [7936/49812]	Loss: 0.3755	LR: 0.000800
Training Epoch: 38 [8000/49812]	Loss: 0.5303	LR: 0.000800
Training Epoch: 38 [8064/49812]	Loss: 0.3843	LR: 0.000800
Training Epoch: 38 [8128/49812]	Loss: 0.6424	LR: 0.000800
Training Epoch: 38 [8192/49812]	Loss: 0.4014	LR: 0.000800
Training Epoch: 38 [8256/49812]	Loss: 0.4268	LR: 0.000800
Training Epoch: 38 [8320/49812]	Loss: 0.4013	LR: 0.000800
Training Epoch: 38 [8384/49812]	Loss: 0.2534	LR: 0.000800
Training Epoch: 38 [8448/49812]	Loss: 0.2816	LR: 0.000800
Training Epoch: 38 [8512/49812]	Loss: 0.4055	LR: 0.000800
Training Epoch: 38 [8576/49812]	Loss: 0.2662	LR: 0.000800
Training Epoch: 38 [8640/49812]	Loss: 0.5709	LR: 0.000800
Training Epoch: 38 [8704/49812]	Loss: 0.3730	LR: 0.000800
Training Epoch: 38 [8768/49812]	Loss: 0.5463	LR: 0.000800
Training Epoch: 38 [8832/49812]	Loss: 0.4253	LR: 0.000800
Training Epoch: 38 [8896/49812]	Loss: 0.3894	LR: 0.000800
Training Epoch: 38 [8960/49812]	Loss: 0.3612	LR: 0.000800
Training Epoch: 38 [9024/49812]	Loss: 0.4311	LR: 0.000800
Training Epoch: 38 [9088/49812]	Loss: 0.3842	LR: 0.000800
Training Epoch: 38 [9152/49812]	Loss: 0.4016	LR: 0.000800
Training Epoch: 38 [9216/49812]	Loss: 0.3845	LR: 0.000800
Training Epoch: 38 [9280/49812]	Loss: 0.3789	LR: 0.000800
Training Epoch: 38 [9344/49812]	Loss: 0.4893	LR: 0.000800
Training Epoch: 38 [9408/49812]	Loss: 0.4739	LR: 0.000800
Training Epoch: 38 [9472/49812]	Loss: 0.5015	LR: 0.000800
Training Epoch: 38 [9536/49812]	Loss: 0.3407	LR: 0.000800
Training Epoch: 38 [9600/49812]	Loss: 0.3384	LR: 0.000800
Training Epoch: 38 [9664/49812]	Loss: 0.4385	LR: 0.000800
Training Epoch: 38 [9728/49812]	Loss: 0.4298	LR: 0.000800
Training Epoch: 38 [9792/49812]	Loss: 0.3132	LR: 0.000800
Training Epoch: 38 [9856/49812]	Loss: 0.5408	LR: 0.000800
Training Epoch: 38 [9920/49812]	Loss: 0.2822	LR: 0.000800
Training Epoch: 38 [9984/49812]	Loss: 0.4059	LR: 0.000800
Training Epoch: 38 [10048/49812]	Loss: 0.4114	LR: 0.000800
Training Epoch: 38 [10112/49812]	Loss: 0.3678	LR: 0.000800
Training Epoch: 38 [10176/49812]	Loss: 0.5037	LR: 0.000800
Training Epoch: 38 [10240/49812]	Loss: 0.3960	LR: 0.000800
Training Epoch: 38 [10304/49812]	Loss: 0.2127	LR: 0.000800
Training Epoch: 38 [10368/49812]	Loss: 0.3099	LR: 0.000800
Training Epoch: 38 [10432/49812]	Loss: 0.2750	LR: 0.000800
Training Epoch: 38 [10496/49812]	Loss: 0.5816	LR: 0.000800
Training Epoch: 38 [10560/49812]	Loss: 0.2367	LR: 0.000800
Training Epoch: 38 [10624/49812]	Loss: 0.3562	LR: 0.000800
Training Epoch: 38 [10688/49812]	Loss: 0.3789	LR: 0.000800
Training Epoch: 38 [10752/49812]	Loss: 0.4757	LR: 0.000800
Training Epoch: 38 [10816/49812]	Loss: 0.4277	LR: 0.000800
Training Epoch: 38 [10880/49812]	Loss: 0.4931	LR: 0.000800
Training Epoch: 38 [10944/49812]	Loss: 0.3185	LR: 0.000800
Training Epoch: 38 [11008/49812]	Loss: 0.3669	LR: 0.000800
Training Epoch: 38 [11072/49812]	Loss: 0.4985	LR: 0.000800
Training Epoch: 38 [11136/49812]	Loss: 0.4316	LR: 0.000800
Training Epoch: 38 [11200/49812]	Loss: 0.3242	LR: 0.000800
Training Epoch: 38 [11264/49812]	Loss: 0.3547	LR: 0.000800
Training Epoch: 38 [11328/49812]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [11392/49812]	Loss: 0.4588	LR: 0.000800
Training Epoch: 38 [11456/49812]	Loss: 0.4583	LR: 0.000800
Training Epoch: 38 [11520/49812]	Loss: 0.4869	LR: 0.000800
Training Epoch: 38 [11584/49812]	Loss: 0.5631	LR: 0.000800
Training Epoch: 38 [11648/49812]	Loss: 0.1845	LR: 0.000800
Training Epoch: 38 [11712/49812]	Loss: 0.3746	LR: 0.000800
Training Epoch: 38 [11776/49812]	Loss: 0.4993	LR: 0.000800
Training Epoch: 38 [11840/49812]	Loss: 0.4339	LR: 0.000800
Training Epoch: 38 [11904/49812]	Loss: 0.3712	LR: 0.000800
Training Epoch: 38 [11968/49812]	Loss: 0.2763	LR: 0.000800
Training Epoch: 38 [12032/49812]	Loss: 0.3691	LR: 0.000800
Training Epoch: 38 [12096/49812]	Loss: 0.4683	LR: 0.000800
Training Epoch: 38 [12160/49812]	Loss: 0.3494	LR: 0.000800
Training Epoch: 38 [12224/49812]	Loss: 0.2641	LR: 0.000800
Training Epoch: 38 [12288/49812]	Loss: 0.3816	LR: 0.000800
Training Epoch: 38 [12352/49812]	Loss: 0.3278	LR: 0.000800
Training Epoch: 38 [12416/49812]	Loss: 0.3697	LR: 0.000800
Training Epoch: 38 [12480/49812]	Loss: 0.1903	LR: 0.000800
Training Epoch: 38 [12544/49812]	Loss: 0.5104	LR: 0.000800
Training Epoch: 38 [12608/49812]	Loss: 0.4021	LR: 0.000800
Training Epoch: 38 [12672/49812]	Loss: 0.3159	LR: 0.000800
Training Epoch: 38 [12736/49812]	Loss: 0.3807	LR: 0.000800
Training Epoch: 38 [12800/49812]	Loss: 0.4433	LR: 0.000800
Training Epoch: 38 [12864/49812]	Loss: 0.4039	LR: 0.000800
Training Epoch: 38 [12928/49812]	Loss: 0.3643	LR: 0.000800
Training Epoch: 38 [12992/49812]	Loss: 0.4099	LR: 0.000800
Training Epoch: 38 [13056/49812]	Loss: 0.3465	LR: 0.000800
Training Epoch: 38 [13120/49812]	Loss: 0.3237	LR: 0.000800
Training Epoch: 38 [13184/49812]	Loss: 0.3871	LR: 0.000800
Training Epoch: 38 [13248/49812]	Loss: 0.4159	LR: 0.000800
Training Epoch: 38 [13312/49812]	Loss: 0.4181	LR: 0.000800
Training Epoch: 38 [13376/49812]	Loss: 0.3620	LR: 0.000800
Training Epoch: 38 [13440/49812]	Loss: 0.2907	LR: 0.000800
Training Epoch: 38 [13504/49812]	Loss: 0.4577	LR: 0.000800
Training Epoch: 38 [13568/49812]	Loss: 0.3504	LR: 0.000800
Training Epoch: 38 [13632/49812]	Loss: 0.3762	LR: 0.000800
Training Epoch: 38 [13696/49812]	Loss: 0.4417	LR: 0.000800
Training Epoch: 38 [13760/49812]	Loss: 0.3831	LR: 0.000800
Training Epoch: 38 [13824/49812]	Loss: 0.4353	LR: 0.000800
Training Epoch: 38 [13888/49812]	Loss: 0.2850	LR: 0.000800
Training Epoch: 38 [13952/49812]	Loss: 0.4748	LR: 0.000800
Training Epoch: 38 [14016/49812]	Loss: 0.3085	LR: 0.000800
Training Epoch: 38 [14080/49812]	Loss: 0.3173	LR: 0.000800
Training Epoch: 38 [14144/49812]	Loss: 0.4924	LR: 0.000800
Training Epoch: 38 [14208/49812]	Loss: 0.3199	LR: 0.000800
Training Epoch: 38 [14272/49812]	Loss: 0.4872	LR: 0.000800
Training Epoch: 38 [14336/49812]	Loss: 0.2820	LR: 0.000800
Training Epoch: 38 [14400/49812]	Loss: 0.4673	LR: 0.000800
Training Epoch: 38 [14464/49812]	Loss: 0.4532	LR: 0.000800
Training Epoch: 38 [14528/49812]	Loss: 0.3540	LR: 0.000800
Training Epoch: 38 [14592/49812]	Loss: 0.3303	LR: 0.000800
Training Epoch: 38 [14656/49812]	Loss: 0.2605	LR: 0.000800
Training Epoch: 38 [14720/49812]	Loss: 0.3541	LR: 0.000800
Training Epoch: 38 [14784/49812]	Loss: 0.4705	LR: 0.000800
Training Epoch: 38 [14848/49812]	Loss: 0.3130	LR: 0.000800
Training Epoch: 38 [14912/49812]	Loss: 0.2233	LR: 0.000800
Training Epoch: 38 [14976/49812]	Loss: 0.3894	LR: 0.000800
Training Epoch: 38 [15040/49812]	Loss: 0.4215	LR: 0.000800
Training Epoch: 38 [15104/49812]	Loss: 0.3946	LR: 0.000800
Training Epoch: 38 [15168/49812]	Loss: 0.3392	LR: 0.000800
Training Epoch: 38 [15232/49812]	Loss: 0.4738	LR: 0.000800
Training Epoch: 38 [15296/49812]	Loss: 0.2704	LR: 0.000800
Training Epoch: 38 [15360/49812]	Loss: 0.5990	LR: 0.000800
Training Epoch: 38 [15424/49812]	Loss: 0.5175	LR: 0.000800
Training Epoch: 38 [15488/49812]	Loss: 0.4436	LR: 0.000800
Training Epoch: 38 [15552/49812]	Loss: 0.2757	LR: 0.000800
Training Epoch: 38 [15616/49812]	Loss: 0.3015	LR: 0.000800
Training Epoch: 38 [15680/49812]	Loss: 0.5259	LR: 0.000800
Training Epoch: 38 [15744/49812]	Loss: 0.2725	LR: 0.000800
Training Epoch: 38 [15808/49812]	Loss: 0.4510	LR: 0.000800
Training Epoch: 38 [15872/49812]	Loss: 0.4178	LR: 0.000800
Training Epoch: 38 [15936/49812]	Loss: 0.4190	LR: 0.000800
Training Epoch: 38 [16000/49812]	Loss: 0.4366	LR: 0.000800
Training Epoch: 38 [16064/49812]	Loss: 0.3509	LR: 0.000800
Training Epoch: 38 [16128/49812]	Loss: 0.3359	LR: 0.000800
Training Epoch: 38 [16192/49812]	Loss: 0.3920	LR: 0.000800
Training Epoch: 38 [16256/49812]	Loss: 0.3613	LR: 0.000800
Training Epoch: 38 [16320/49812]	Loss: 0.5450	LR: 0.000800
Training Epoch: 38 [16384/49812]	Loss: 0.3527	LR: 0.000800
Training Epoch: 38 [16448/49812]	Loss: 0.1961	LR: 0.000800
Training Epoch: 38 [16512/49812]	Loss: 0.6527	LR: 0.000800
Training Epoch: 38 [16576/49812]	Loss: 0.6088	LR: 0.000800
Training Epoch: 38 [16640/49812]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [16704/49812]	Loss: 0.3701	LR: 0.000800
Training Epoch: 38 [16768/49812]	Loss: 0.3259	LR: 0.000800
Training Epoch: 38 [16832/49812]	Loss: 0.3812	LR: 0.000800
Training Epoch: 38 [16896/49812]	Loss: 0.4851	LR: 0.000800
Training Epoch: 38 [16960/49812]	Loss: 0.3304	LR: 0.000800
Training Epoch: 38 [17024/49812]	Loss: 0.3362	LR: 0.000800
Training Epoch: 38 [17088/49812]	Loss: 0.4406	LR: 0.000800
Training Epoch: 38 [17152/49812]	Loss: 0.4474	LR: 0.000800
Training Epoch: 38 [17216/49812]	Loss: 0.4496	LR: 0.000800
Training Epoch: 38 [17280/49812]	Loss: 0.4547	LR: 0.000800
Training Epoch: 38 [17344/49812]	Loss: 0.4603	LR: 0.000800
Training Epoch: 38 [17408/49812]	Loss: 0.4279	LR: 0.000800
Training Epoch: 38 [17472/49812]	Loss: 0.2499	LR: 0.000800
Training Epoch: 38 [17536/49812]	Loss: 0.4832	LR: 0.000800
Training Epoch: 38 [17600/49812]	Loss: 0.4422	LR: 0.000800
Training Epoch: 38 [17664/49812]	Loss: 0.3264	LR: 0.000800
Training Epoch: 38 [17728/49812]	Loss: 0.3188	LR: 0.000800
Training Epoch: 38 [17792/49812]	Loss: 0.3577	LR: 0.000800
Training Epoch: 38 [17856/49812]	Loss: 0.3495	LR: 0.000800
Training Epoch: 38 [17920/49812]	Loss: 0.3060	LR: 0.000800
Training Epoch: 38 [17984/49812]	Loss: 0.4424	LR: 0.000800
Training Epoch: 38 [18048/49812]	Loss: 0.3772	LR: 0.000800
Training Epoch: 38 [18112/49812]	Loss: 0.3697	LR: 0.000800
Training Epoch: 38 [18176/49812]	Loss: 0.3649	LR: 0.000800
Training Epoch: 38 [18240/49812]	Loss: 0.4475	LR: 0.000800
Training Epoch: 38 [18304/49812]	Loss: 0.5706	LR: 0.000800
Training Epoch: 38 [18368/49812]	Loss: 0.3363	LR: 0.000800
Training Epoch: 38 [18432/49812]	Loss: 0.4451	LR: 0.000800
Training Epoch: 38 [18496/49812]	Loss: 0.5252	LR: 0.000800
Training Epoch: 38 [18560/49812]	Loss: 0.4312	LR: 0.000800
Training Epoch: 38 [18624/49812]	Loss: 0.2969	LR: 0.000800
Training Epoch: 38 [18688/49812]	Loss: 0.4455	LR: 0.000800
Training Epoch: 38 [18752/49812]	Loss: 0.5116	LR: 0.000800
Training Epoch: 38 [18816/49812]	Loss: 0.3997	LR: 0.000800
Training Epoch: 38 [18880/49812]	Loss: 0.3598	LR: 0.000800
Training Epoch: 38 [18944/49812]	Loss: 0.4609	LR: 0.000800
Training Epoch: 38 [19008/49812]	Loss: 0.4995	LR: 0.000800
Training Epoch: 38 [19072/49812]	Loss: 0.6057	LR: 0.000800
Training Epoch: 38 [19136/49812]	Loss: 0.5909	LR: 0.000800
Training Epoch: 38 [19200/49812]	Loss: 0.4559	LR: 0.000800
Training Epoch: 38 [19264/49812]	Loss: 0.3346	LR: 0.000800
Training Epoch: 38 [19328/49812]	Loss: 0.3465	LR: 0.000800
Training Epoch: 38 [19392/49812]	Loss: 0.4617	LR: 0.000800
Training Epoch: 38 [19456/49812]	Loss: 0.2710	LR: 0.000800
Training Epoch: 38 [19520/49812]	Loss: 0.4820	LR: 0.000800
Training Epoch: 38 [19584/49812]	Loss: 0.4382	LR: 0.000800
Training Epoch: 38 [19648/49812]	Loss: 0.3490	LR: 0.000800
Training Epoch: 38 [19712/49812]	Loss: 0.3342	LR: 0.000800
Training Epoch: 38 [19776/49812]	Loss: 0.4580	LR: 0.000800
Training Epoch: 38 [19840/49812]	Loss: 0.3914	LR: 0.000800
Training Epoch: 38 [19904/49812]	Loss: 0.2600	LR: 0.000800
Training Epoch: 38 [19968/49812]	Loss: 0.4638	LR: 0.000800
Training Epoch: 38 [20032/49812]	Loss: 0.4135	LR: 0.000800
Training Epoch: 38 [20096/49812]	Loss: 0.4201	LR: 0.000800
Training Epoch: 38 [20160/49812]	Loss: 0.2369	LR: 0.000800
Training Epoch: 38 [20224/49812]	Loss: 0.4232	LR: 0.000800
Training Epoch: 38 [20288/49812]	Loss: 0.4150	LR: 0.000800
Training Epoch: 38 [20352/49812]	Loss: 0.2728	LR: 0.000800
Training Epoch: 38 [20416/49812]	Loss: 0.2032	LR: 0.000800
Training Epoch: 38 [20480/49812]	Loss: 0.4045	LR: 0.000800
Training Epoch: 38 [20544/49812]	Loss: 0.5355	LR: 0.000800
Training Epoch: 38 [20608/49812]	Loss: 0.3452	LR: 0.000800
Training Epoch: 38 [20672/49812]	Loss: 0.2961	LR: 0.000800
Training Epoch: 38 [20736/49812]	Loss: 0.4562	LR: 0.000800
Training Epoch: 38 [20800/49812]	Loss: 0.3464	LR: 0.000800
Training Epoch: 38 [20864/49812]	Loss: 0.4221	LR: 0.000800
Training Epoch: 38 [20928/49812]	Loss: 0.3022	LR: 0.000800
Training Epoch: 38 [20992/49812]	Loss: 0.3100	LR: 0.000800
Training Epoch: 38 [21056/49812]	Loss: 0.4959	LR: 0.000800
Training Epoch: 38 [21120/49812]	Loss: 0.3694	LR: 0.000800
Training Epoch: 38 [21184/49812]	Loss: 0.5689	LR: 0.000800
Training Epoch: 38 [21248/49812]	Loss: 0.2842	LR: 0.000800
Training Epoch: 38 [21312/49812]	Loss: 0.5288	LR: 0.000800
Training Epoch: 38 [21376/49812]	Loss: 0.3841	LR: 0.000800
Training Epoch: 38 [21440/49812]	Loss: 0.2420	LR: 0.000800
Training Epoch: 38 [21504/49812]	Loss: 0.4909	LR: 0.000800
Training Epoch: 38 [21568/49812]	Loss: 0.4151	LR: 0.000800
Training Epoch: 38 [21632/49812]	Loss: 0.5072	LR: 0.000800
Training Epoch: 38 [21696/49812]	Loss: 0.3237	LR: 0.000800
Training Epoch: 38 [21760/49812]	Loss: 0.2555	LR: 0.000800
Training Epoch: 38 [21824/49812]	Loss: 0.4399	LR: 0.000800
Training Epoch: 38 [21888/49812]	Loss: 0.4064	LR: 0.000800
Training Epoch: 38 [21952/49812]	Loss: 0.3846	LR: 0.000800
Training Epoch: 38 [22016/49812]	Loss: 0.4706	LR: 0.000800
Training Epoch: 38 [22080/49812]	Loss: 0.4670	LR: 0.000800
Training Epoch: 38 [22144/49812]	Loss: 0.4039	LR: 0.000800
Training Epoch: 38 [22208/49812]	Loss: 0.3560	LR: 0.000800
Training Epoch: 38 [22272/49812]	Loss: 0.3765	LR: 0.000800
Training Epoch: 38 [22336/49812]	Loss: 0.4721	LR: 0.000800
Training Epoch: 38 [22400/49812]	Loss: 0.3680	LR: 0.000800
Training Epoch: 38 [22464/49812]	Loss: 0.2979	LR: 0.000800
Training Epoch: 38 [22528/49812]	Loss: 0.4462	LR: 0.000800
Training Epoch: 38 [22592/49812]	Loss: 0.3455	LR: 0.000800
Training Epoch: 38 [22656/49812]	Loss: 0.2561	LR: 0.000800
Training Epoch: 38 [22720/49812]	Loss: 0.4075	LR: 0.000800
Training Epoch: 38 [22784/49812]	Loss: 0.3324	LR: 0.000800
Training Epoch: 38 [22848/49812]	Loss: 0.2888	LR: 0.000800
Training Epoch: 38 [22912/49812]	Loss: 0.4048	LR: 0.000800
Training Epoch: 38 [22976/49812]	Loss: 0.4911	LR: 0.000800
Training Epoch: 38 [23040/49812]	Loss: 0.3161	LR: 0.000800
Training Epoch: 38 [23104/49812]	Loss: 0.5311	LR: 0.000800
Training Epoch: 38 [23168/49812]	Loss: 0.3456	LR: 0.000800
Training Epoch: 38 [23232/49812]	Loss: 0.3264	LR: 0.000800
Training Epoch: 38 [23296/49812]	Loss: 0.2893	LR: 0.000800
Training Epoch: 38 [23360/49812]	Loss: 0.2244	LR: 0.000800
Training Epoch: 38 [23424/49812]	Loss: 0.3073	LR: 0.000800
Training Epoch: 38 [23488/49812]	Loss: 0.3038	LR: 0.000800
Training Epoch: 38 [23552/49812]	Loss: 0.2515	LR: 0.000800
Training Epoch: 38 [23616/49812]	Loss: 0.3850	LR: 0.000800
Training Epoch: 38 [23680/49812]	Loss: 0.4455	LR: 0.000800
Training Epoch: 38 [23744/49812]	Loss: 0.3601	LR: 0.000800
Training Epoch: 38 [23808/49812]	Loss: 0.5751	LR: 0.000800
Training Epoch: 38 [23872/49812]	Loss: 0.2270	LR: 0.000800
Training Epoch: 38 [23936/49812]	Loss: 0.2832	LR: 0.000800
Training Epoch: 38 [24000/49812]	Loss: 0.3190	LR: 0.000800
Training Epoch: 38 [24064/49812]	Loss: 0.3512	LR: 0.000800
Training Epoch: 38 [24128/49812]	Loss: 0.3084	LR: 0.000800
Training Epoch: 38 [24192/49812]	Loss: 0.3391	LR: 0.000800
Training Epoch: 38 [24256/49812]	Loss: 0.3908	LR: 0.000800
Training Epoch: 38 [24320/49812]	Loss: 0.3825	LR: 0.000800
Training Epoch: 38 [24384/49812]	Loss: 0.5319	LR: 0.000800
Training Epoch: 38 [24448/49812]	Loss: 0.2480	LR: 0.000800
Training Epoch: 38 [24512/49812]	Loss: 0.4792	LR: 0.000800
Training Epoch: 38 [24576/49812]	Loss: 0.3263	LR: 0.000800
Training Epoch: 38 [24640/49812]	Loss: 0.3114	LR: 0.000800
Training Epoch: 38 [24704/49812]	Loss: 0.4456	LR: 0.000800
Training Epoch: 38 [24768/49812]	Loss: 0.3950	LR: 0.000800
Training Epoch: 38 [24832/49812]	Loss: 0.3352	LR: 0.000800
Training Epoch: 38 [24896/49812]	Loss: 0.5381	LR: 0.000800
Training Epoch: 38 [24960/49812]	Loss: 0.4582	LR: 0.000800
Training Epoch: 38 [25024/49812]	Loss: 0.3513	LR: 0.000800
Training Epoch: 38 [25088/49812]	Loss: 0.4388	LR: 0.000800
Training Epoch: 38 [25152/49812]	Loss: 0.3553	LR: 0.000800
Training Epoch: 38 [25216/49812]	Loss: 0.5773	LR: 0.000800
Training Epoch: 38 [25280/49812]	Loss: 0.2930	LR: 0.000800
Training Epoch: 38 [25344/49812]	Loss: 0.3968	LR: 0.000800
Training Epoch: 38 [25408/49812]	Loss: 0.4600	LR: 0.000800
Training Epoch: 38 [25472/49812]	Loss: 0.3846	LR: 0.000800
Training Epoch: 38 [25536/49812]	Loss: 0.3751	LR: 0.000800
Training Epoch: 38 [25600/49812]	Loss: 0.3091	LR: 0.000800
Training Epoch: 38 [25664/49812]	Loss: 0.3932	LR: 0.000800
Training Epoch: 38 [25728/49812]	Loss: 0.6265	LR: 0.000800
Training Epoch: 38 [25792/49812]	Loss: 0.3505	LR: 0.000800
Training Epoch: 38 [25856/49812]	Loss: 0.3814	LR: 0.000800
Training Epoch: 38 [25920/49812]	Loss: 0.3021	LR: 0.000800
Training Epoch: 38 [25984/49812]	Loss: 0.5472	LR: 0.000800
Training Epoch: 38 [26048/49812]	Loss: 0.4623	LR: 0.000800
Training Epoch: 38 [26112/49812]	Loss: 0.1871	LR: 0.000800
Training Epoch: 38 [26176/49812]	Loss: 0.2918	LR: 0.000800
Training Epoch: 38 [26240/49812]	Loss: 0.4128	LR: 0.000800
Training Epoch: 38 [26304/49812]	Loss: 0.2052	LR: 0.000800
Training Epoch: 38 [26368/49812]	Loss: 0.4894	LR: 0.000800
Training Epoch: 38 [26432/49812]	Loss: 0.4480	LR: 0.000800
Training Epoch: 38 [26496/49812]	Loss: 0.3491	LR: 0.000800
Training Epoch: 38 [26560/49812]	Loss: 0.3562	LR: 0.000800
Training Epoch: 38 [26624/49812]	Loss: 0.3748	LR: 0.000800
Training Epoch: 38 [26688/49812]	Loss: 0.3186	LR: 0.000800
Training Epoch: 38 [26752/49812]	Loss: 0.4705	LR: 0.000800
Training Epoch: 38 [26816/49812]	Loss: 0.3907	LR: 0.000800
Training Epoch: 38 [26880/49812]	Loss: 0.4199	LR: 0.000800
Training Epoch: 38 [26944/49812]	Loss: 0.5732	LR: 0.000800
Training Epoch: 38 [27008/49812]	Loss: 0.4500	LR: 0.000800
Training Epoch: 38 [27072/49812]	Loss: 0.2931	LR: 0.000800
Training Epoch: 38 [27136/49812]	Loss: 0.4251	LR: 0.000800
Training Epoch: 38 [27200/49812]	Loss: 0.5255	LR: 0.000800
Training Epoch: 38 [27264/49812]	Loss: 0.2703	LR: 0.000800
Training Epoch: 38 [27328/49812]	Loss: 0.5832	LR: 0.000800
Training Epoch: 38 [27392/49812]	Loss: 0.2538	LR: 0.000800
Training Epoch: 38 [27456/49812]	Loss: 0.4577	LR: 0.000800
Training Epoch: 38 [27520/49812]	Loss: 0.4164	LR: 0.000800
Training Epoch: 38 [27584/49812]	Loss: 0.4697	LR: 0.000800
Training Epoch: 38 [27648/49812]	Loss: 0.5993	LR: 0.000800
Training Epoch: 38 [27712/49812]	Loss: 0.2583	LR: 0.000800
Training Epoch: 38 [27776/49812]	Loss: 0.3271	LR: 0.000800
Training Epoch: 38 [27840/49812]	Loss: 0.4997	LR: 0.000800
Training Epoch: 38 [27904/49812]	Loss: 0.3926	LR: 0.000800
Training Epoch: 38 [27968/49812]	Loss: 0.3007	LR: 0.000800
Training Epoch: 38 [28032/49812]	Loss: 0.3323	LR: 0.000800
Training Epoch: 38 [28096/49812]	Loss: 0.1882	LR: 0.000800
Training Epoch: 38 [28160/49812]	Loss: 0.3793	LR: 0.000800
Training Epoch: 38 [28224/49812]	Loss: 0.2551	LR: 0.000800
Training Epoch: 38 [28288/49812]	Loss: 0.2874	LR: 0.000800
Training Epoch: 38 [28352/49812]	Loss: 0.2790	LR: 0.000800
Training Epoch: 38 [28416/49812]	Loss: 0.3496	LR: 0.000800
Training Epoch: 38 [28480/49812]	Loss: 0.5338	LR: 0.000800
Training Epoch: 38 [28544/49812]	Loss: 0.4717	LR: 0.000800
Training Epoch: 38 [28608/49812]	Loss: 0.3668	LR: 0.000800
Training Epoch: 38 [28672/49812]	Loss: 0.4504	LR: 0.000800
Training Epoch: 38 [28736/49812]	Loss: 0.2914	LR: 0.000800
Training Epoch: 38 [28800/49812]	Loss: 0.5358	LR: 0.000800
Training Epoch: 38 [28864/49812]	Loss: 0.4126	LR: 0.000800
Training Epoch: 38 [28928/49812]	Loss: 0.5240	LR: 0.000800
Training Epoch: 38 [28992/49812]	Loss: 0.3733	LR: 0.000800
Training Epoch: 38 [29056/49812]	Loss: 0.3273	LR: 0.000800
Training Epoch: 38 [29120/49812]	Loss: 0.5958	LR: 0.000800
Training Epoch: 38 [29184/49812]	Loss: 0.3660	LR: 0.000800
Training Epoch: 38 [29248/49812]	Loss: 0.3664	LR: 0.000800
Training Epoch: 38 [29312/49812]	Loss: 0.4156	LR: 0.000800
Training Epoch: 38 [29376/49812]	Loss: 0.3362	LR: 0.000800
Training Epoch: 38 [29440/49812]	Loss: 0.4194	LR: 0.000800
Training Epoch: 38 [29504/49812]	Loss: 0.3936	LR: 0.000800
Training Epoch: 38 [29568/49812]	Loss: 0.5029	LR: 0.000800
Training Epoch: 38 [29632/49812]	Loss: 0.3838	LR: 0.000800
Training Epoch: 38 [29696/49812]	Loss: 0.2340	LR: 0.000800
Training Epoch: 38 [29760/49812]	Loss: 0.3623	LR: 0.000800
Training Epoch: 38 [29824/49812]	Loss: 0.4357	LR: 0.000800
Training Epoch: 38 [29888/49812]	Loss: 0.4860	LR: 0.000800
Training Epoch: 38 [29952/49812]	Loss: 0.2731	LR: 0.000800
Training Epoch: 38 [30016/49812]	Loss: 0.5986	LR: 0.000800
Training Epoch: 38 [30080/49812]	Loss: 0.3976	LR: 0.000800
Training Epoch: 38 [30144/49812]	Loss: 0.3036	LR: 0.000800
Training Epoch: 38 [30208/49812]	Loss: 0.4269	LR: 0.000800
Training Epoch: 38 [30272/49812]	Loss: 0.2803	LR: 0.000800
Training Epoch: 38 [30336/49812]	Loss: 0.3664	LR: 0.000800
Training Epoch: 38 [30400/49812]	Loss: 0.3497	LR: 0.000800
Training Epoch: 38 [30464/49812]	Loss: 0.5812	LR: 0.000800
Training Epoch: 38 [30528/49812]	Loss: 0.5153	LR: 0.000800
Training Epoch: 38 [30592/49812]	Loss: 0.3351	LR: 0.000800
Training Epoch: 38 [30656/49812]	Loss: 0.4621	LR: 0.000800
Training Epoch: 38 [30720/49812]	Loss: 0.2507	LR: 0.000800
Training Epoch: 38 [30784/49812]	Loss: 0.3469	LR: 0.000800
Training Epoch: 38 [30848/49812]	Loss: 0.5598	LR: 0.000800
Training Epoch: 38 [30912/49812]	Loss: 0.3102	LR: 0.000800
Training Epoch: 38 [30976/49812]	Loss: 0.7273	LR: 0.000800
Training Epoch: 38 [31040/49812]	Loss: 0.5535	LR: 0.000800
Training Epoch: 38 [31104/49812]	Loss: 0.4288	LR: 0.000800
Training Epoch: 38 [31168/49812]	Loss: 0.3297	LR: 0.000800
Training Epoch: 38 [31232/49812]	Loss: 0.3504	LR: 0.000800
Training Epoch: 38 [31296/49812]	Loss: 0.3843	LR: 0.000800
Training Epoch: 38 [31360/49812]	Loss: 0.3009	LR: 0.000800
Training Epoch: 38 [31424/49812]	Loss: 0.4297	LR: 0.000800
Training Epoch: 38 [31488/49812]	Loss: 0.3503	LR: 0.000800
Training Epoch: 38 [31552/49812]	Loss: 0.4199	LR: 0.000800
Training Epoch: 38 [31616/49812]	Loss: 0.5342	LR: 0.000800
Training Epoch: 38 [31680/49812]	Loss: 0.6205	LR: 0.000800
Training Epoch: 38 [31744/49812]	Loss: 0.3027	LR: 0.000800
Training Epoch: 38 [31808/49812]	Loss: 0.2946	LR: 0.000800
Training Epoch: 38 [31872/49812]	Loss: 0.2591	LR: 0.000800
Training Epoch: 38 [31936/49812]	Loss: 0.3991	LR: 0.000800
Training Epoch: 38 [32000/49812]	Loss: 0.3366	LR: 0.000800
Training Epoch: 38 [32064/49812]	Loss: 0.4649	LR: 0.000800
Training Epoch: 38 [32128/49812]	Loss: 0.3775	LR: 0.000800
Training Epoch: 38 [32192/49812]	Loss: 0.2785	LR: 0.000800
Training Epoch: 38 [32256/49812]	Loss: 0.5363	LR: 0.000800
Training Epoch: 38 [32320/49812]	Loss: 0.4995	LR: 0.000800
Training Epoch: 38 [32384/49812]	Loss: 0.3026	LR: 0.000800
Training Epoch: 38 [32448/49812]	Loss: 0.4535	LR: 0.000800
Training Epoch: 38 [32512/49812]	Loss: 0.4471	LR: 0.000800
Training Epoch: 38 [32576/49812]	Loss: 0.4175	LR: 0.000800
Training Epoch: 38 [32640/49812]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [32704/49812]	Loss: 0.3860	LR: 0.000800
Training Epoch: 38 [32768/49812]	Loss: 0.6006	LR: 0.000800
Training Epoch: 38 [32832/49812]	Loss: 0.4906	LR: 0.000800
Training Epoch: 38 [32896/49812]	Loss: 0.3181	LR: 0.000800
Training Epoch: 38 [32960/49812]	Loss: 0.3968	LR: 0.000800
Training Epoch: 38 [33024/49812]	Loss: 0.5049	LR: 0.000800
Training Epoch: 38 [33088/49812]	Loss: 0.3083	LR: 0.000800
Training Epoch: 38 [33152/49812]	Loss: 0.5158	LR: 0.000800
Training Epoch: 38 [33216/49812]	Loss: 0.4743	LR: 0.000800
Training Epoch: 38 [33280/49812]	Loss: 0.2862	LR: 0.000800
Training Epoch: 38 [33344/49812]	Loss: 0.3790	LR: 0.000800
Training Epoch: 38 [33408/49812]	Loss: 0.5225	LR: 0.000800
Training Epoch: 38 [33472/49812]	Loss: 0.4319	LR: 0.000800
Training Epoch: 38 [33536/49812]	Loss: 0.4174	LR: 0.000800
Training Epoch: 38 [33600/49812]	Loss: 0.2137	LR: 0.000800
Training Epoch: 38 [33664/49812]	Loss: 0.1884	LR: 0.000800
Training Epoch: 38 [33728/49812]	Loss: 0.4213	LR: 0.000800
Training Epoch: 38 [33792/49812]	Loss: 0.4824	LR: 0.000800
Training Epoch: 38 [33856/49812]	Loss: 0.2856	LR: 0.000800
Training Epoch: 38 [33920/49812]	Loss: 0.3153	LR: 0.000800
Training Epoch: 38 [33984/49812]	Loss: 0.3871	LR: 0.000800
Training Epoch: 38 [34048/49812]	Loss: 0.3746	LR: 0.000800
Training Epoch: 38 [34112/49812]	Loss: 0.6090	LR: 0.000800
Training Epoch: 38 [34176/49812]	Loss: 0.3147	LR: 0.000800
Training Epoch: 38 [34240/49812]	Loss: 0.2414	LR: 0.000800
Training Epoch: 38 [34304/49812]	Loss: 0.4319	LR: 0.000800
Training Epoch: 38 [34368/49812]	Loss: 0.6661	LR: 0.000800
Training Epoch: 38 [34432/49812]	Loss: 0.3372	LR: 0.000800
Training Epoch: 38 [34496/49812]	Loss: 0.4083	LR: 0.000800
Training Epoch: 38 [34560/49812]	Loss: 0.4559	LR: 0.000800
Training Epoch: 38 [34624/49812]	Loss: 0.4129	LR: 0.000800
Training Epoch: 38 [34688/49812]	Loss: 0.2106	LR: 0.000800
Training Epoch: 38 [34752/49812]	Loss: 0.1775	LR: 0.000800
Training Epoch: 38 [34816/49812]	Loss: 0.3631	LR: 0.000800
Training Epoch: 38 [34880/49812]	Loss: 0.3403	LR: 0.000800
Training Epoch: 38 [34944/49812]	Loss: 0.2763	LR: 0.000800
Training Epoch: 38 [35008/49812]	Loss: 0.3264	LR: 0.000800
Training Epoch: 38 [35072/49812]	Loss: 0.2564	LR: 0.000800
Training Epoch: 38 [35136/49812]	Loss: 0.2642	LR: 0.000800
Training Epoch: 38 [35200/49812]	Loss: 0.3712	LR: 0.000800
Training Epoch: 38 [35264/49812]	Loss: 0.7655	LR: 0.000800
Training Epoch: 38 [35328/49812]	Loss: 0.4129	LR: 0.000800
Training Epoch: 38 [35392/49812]	Loss: 0.6187	LR: 0.000800
Training Epoch: 38 [35456/49812]	Loss: 0.3214	LR: 0.000800
Training Epoch: 38 [35520/49812]	Loss: 0.3600	LR: 0.000800
Training Epoch: 38 [35584/49812]	Loss: 0.3916	LR: 0.000800
Training Epoch: 38 [35648/49812]	Loss: 0.3601	LR: 0.000800
Training Epoch: 38 [35712/49812]	Loss: 0.2437	LR: 0.000800
Training Epoch: 38 [35776/49812]	Loss: 0.6047	LR: 0.000800
Training Epoch: 38 [35840/49812]	Loss: 0.4535	LR: 0.000800
Training Epoch: 38 [35904/49812]	Loss: 0.5422	LR: 0.000800
Training Epoch: 38 [35968/49812]	Loss: 0.2104	LR: 0.000800
Training Epoch: 38 [36032/49812]	Loss: 0.4052	LR: 0.000800
Training Epoch: 38 [36096/49812]	Loss: 0.3396	LR: 0.000800
Training Epoch: 38 [36160/49812]	Loss: 0.1468	LR: 0.000800
Training Epoch: 38 [36224/49812]	Loss: 0.2789	LR: 0.000800
Training Epoch: 38 [36288/49812]	Loss: 0.2471	LR: 0.000800
Training Epoch: 38 [36352/49812]	Loss: 0.3158	LR: 0.000800
Training Epoch: 38 [36416/49812]	Loss: 0.3176	LR: 0.000800
Training Epoch: 38 [36480/49812]	Loss: 0.2660	LR: 0.000800
Training Epoch: 38 [36544/49812]	Loss: 0.5564	LR: 0.000800
Training Epoch: 38 [36608/49812]	Loss: 0.4114	LR: 0.000800
Training Epoch: 38 [36672/49812]	Loss: 0.5046	LR: 0.000800
Training Epoch: 38 [36736/49812]	Loss: 0.4038	LR: 0.000800
Training Epoch: 38 [36800/49812]	Loss: 0.3886	LR: 0.000800
Training Epoch: 38 [36864/49812]	Loss: 0.6705	LR: 0.000800
Training Epoch: 38 [36928/49812]	Loss: 0.4965	LR: 0.000800
Training Epoch: 38 [36992/49812]	Loss: 0.3299	LR: 0.000800
Training Epoch: 38 [37056/49812]	Loss: 0.6055	LR: 0.000800
Training Epoch: 38 [37120/49812]	Loss: 0.3764	LR: 0.000800
Training Epoch: 38 [37184/49812]	Loss: 0.5437	LR: 0.000800
Training Epoch: 38 [37248/49812]	Loss: 0.3033	LR: 0.000800
Training Epoch: 38 [37312/49812]	Loss: 0.3594	LR: 0.000800
Training Epoch: 38 [37376/49812]	Loss: 0.2939	LR: 0.000800
Training Epoch: 38 [37440/49812]	Loss: 0.2859	LR: 0.000800
Training Epoch: 38 [37504/49812]	Loss: 0.3612	LR: 0.000800
Training Epoch: 38 [37568/49812]	Loss: 0.3280	LR: 0.000800
Training Epoch: 38 [37632/49812]	Loss: 0.2544	LR: 0.000800
Training Epoch: 38 [37696/49812]	Loss: 0.4994	LR: 0.000800
Training Epoch: 38 [37760/49812]	Loss: 0.5045	LR: 0.000800
Training Epoch: 38 [37824/49812]	Loss: 0.4738	LR: 0.000800
Training Epoch: 38 [37888/49812]	Loss: 0.2816	LR: 0.000800
Training Epoch: 38 [37952/49812]	Loss: 0.3143	LR: 0.000800
Training Epoch: 38 [38016/49812]	Loss: 0.3410	LR: 0.000800
Training Epoch: 38 [38080/49812]	Loss: 0.3999	LR: 0.000800
Training Epoch: 38 [38144/49812]	Loss: 0.3367	LR: 0.000800
Training Epoch: 38 [38208/49812]	Loss: 0.5085	LR: 0.000800
Training Epoch: 38 [38272/49812]	Loss: 0.7260	LR: 0.000800
Training Epoch: 38 [38336/49812]	Loss: 0.4335	LR: 0.000800
Training Epoch: 38 [38400/49812]	Loss: 0.3824	LR: 0.000800
Training Epoch: 38 [38464/49812]	Loss: 0.3868	LR: 0.000800
Training Epoch: 38 [38528/49812]	Loss: 0.4551	LR: 0.000800
Training Epoch: 38 [38592/49812]	Loss: 0.4276	LR: 0.000800
Training Epoch: 38 [38656/49812]	Loss: 0.4701	LR: 0.000800
Training Epoch: 38 [38720/49812]	Loss: 0.3192	LR: 0.000800
Training Epoch: 38 [38784/49812]	Loss: 0.3790	LR: 0.000800
Training Epoch: 38 [38848/49812]	Loss: 0.3439	LR: 0.000800
Training Epoch: 38 [38912/49812]	Loss: 0.3278	LR: 0.000800
Training Epoch: 38 [38976/49812]	Loss: 0.5830	LR: 0.000800
Training Epoch: 38 [39040/49812]	Loss: 0.3179	LR: 0.000800
Training Epoch: 38 [39104/49812]	Loss: 0.5207	LR: 0.000800
Training Epoch: 38 [39168/49812]	Loss: 0.4329	LR: 0.000800
Training Epoch: 38 [39232/49812]	Loss: 0.6611	LR: 0.000800
Training Epoch: 38 [39296/49812]	Loss: 0.4522	LR: 0.000800
Training Epoch: 38 [39360/49812]	Loss: 0.3795	LR: 0.000800
Training Epoch: 38 [39424/49812]	Loss: 0.3864	LR: 0.000800
Training Epoch: 38 [39488/49812]	Loss: 0.3271	LR: 0.000800
Training Epoch: 38 [39552/49812]	Loss: 0.3527	LR: 0.000800
Training Epoch: 38 [39616/49812]	Loss: 0.3238	LR: 0.000800
Training Epoch: 38 [39680/49812]	Loss: 0.3680	LR: 0.000800
Training Epoch: 38 [39744/49812]	Loss: 0.3926	LR: 0.000800
Training Epoch: 38 [39808/49812]	Loss: 0.3941	LR: 0.000800
Training Epoch: 38 [39872/49812]	Loss: 0.4153	LR: 0.000800
Training Epoch: 38 [39936/49812]	Loss: 0.4208	LR: 0.000800
Training Epoch: 38 [40000/49812]	Loss: 0.5398	LR: 0.000800
Training Epoch: 38 [40064/49812]	Loss: 0.3855	LR: 0.000800
Training Epoch: 38 [40128/49812]	Loss: 0.3492	LR: 0.000800
Training Epoch: 38 [40192/49812]	Loss: 0.4209	LR: 0.000800
Training Epoch: 38 [40256/49812]	Loss: 0.2501	LR: 0.000800
Training Epoch: 38 [40320/49812]	Loss: 0.3005	LR: 0.000800
Training Epoch: 38 [40384/49812]	Loss: 0.2562	LR: 0.000800
Training Epoch: 38 [40448/49812]	Loss: 0.2867	LR: 0.000800
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Training Epoch: 38 [40576/49812]	Loss: 0.5203	LR: 0.000800
Training Epoch: 38 [40640/49812]	Loss: 0.4593	LR: 0.000800
Training Epoch: 38 [40704/49812]	Loss: 0.4230	LR: 0.000800
Training Epoch: 38 [40768/49812]	Loss: 0.3358	LR: 0.000800
Training Epoch: 38 [40832/49812]	Loss: 0.7638	LR: 0.000800
Training Epoch: 38 [40896/49812]	Loss: 0.3534	LR: 0.000800
Training Epoch: 38 [40960/49812]	Loss: 0.4954	LR: 0.000800
Training Epoch: 38 [41024/49812]	Loss: 0.4613	LR: 0.000800
Training Epoch: 38 [41088/49812]	Loss: 0.2383	LR: 0.000800
Training Epoch: 38 [41152/49812]	Loss: 0.3026	LR: 0.000800
Training Epoch: 38 [41216/49812]	Loss: 0.4156	LR: 0.000800
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Training Epoch: 38 [41344/49812]	Loss: 0.3209	LR: 0.000800
Training Epoch: 38 [41408/49812]	Loss: 0.3048	LR: 0.000800
Training Epoch: 38 [41472/49812]	Loss: 0.3750	LR: 0.000800
Training Epoch: 38 [41536/49812]	Loss: 0.3400	LR: 0.000800
Training Epoch: 38 [41600/49812]	Loss: 0.3711	LR: 0.000800
Training Epoch: 38 [41664/49812]	Loss: 0.3966	LR: 0.000800
Training Epoch: 38 [41728/49812]	Loss: 0.3141	LR: 0.000800
Training Epoch: 38 [41792/49812]	Loss: 0.5750	LR: 0.000800
Training Epoch: 38 [41856/49812]	Loss: 0.3785	LR: 0.000800
Training Epoch: 38 [41920/49812]	Loss: 0.2666	LR: 0.000800
Training Epoch: 38 [41984/49812]	Loss: 0.3237	LR: 0.000800
Training Epoch: 38 [42048/49812]	Loss: 0.3156	LR: 0.000800
Training Epoch: 38 [42112/49812]	Loss: 0.5306	LR: 0.000800
Training Epoch: 38 [42176/49812]	Loss: 0.3764	LR: 0.000800
Training Epoch: 38 [42240/49812]	Loss: 0.5269	LR: 0.000800
Training Epoch: 38 [42304/49812]	Loss: 0.3323	LR: 0.000800
Training Epoch: 38 [42368/49812]	Loss: 0.3568	LR: 0.000800
Training Epoch: 38 [42432/49812]	Loss: 0.2392	LR: 0.000800
Training Epoch: 38 [42496/49812]	Loss: 0.5026	LR: 0.000800
Training Epoch: 38 [42560/49812]	Loss: 0.4147	LR: 0.000800
Training Epoch: 38 [42624/49812]	Loss: 0.4887	LR: 0.000800
Training Epoch: 38 [42688/49812]	Loss: 0.2611	LR: 0.000800
Training Epoch: 38 [42752/49812]	Loss: 0.3554	LR: 0.000800
Training Epoch: 38 [42816/49812]	Loss: 0.5175	LR: 0.000800
Training Epoch: 38 [42880/49812]	Loss: 0.2660	LR: 0.000800
Training Epoch: 38 [42944/49812]	Loss: 0.3660	LR: 0.000800
Training Epoch: 38 [43008/49812]	Loss: 0.5435	LR: 0.000800
Training Epoch: 38 [43072/49812]	Loss: 0.2889	LR: 0.000800
Training Epoch: 38 [43136/49812]	Loss: 0.3469	LR: 0.000800
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Training Epoch: 38 [43264/49812]	Loss: 0.3731	LR: 0.000800
Training Epoch: 38 [43328/49812]	Loss: 0.5753	LR: 0.000800
Training Epoch: 38 [43392/49812]	Loss: 0.3367	LR: 0.000800
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Training Epoch: 38 [43520/49812]	Loss: 0.3366	LR: 0.000800
Training Epoch: 38 [43584/49812]	Loss: 0.5573	LR: 0.000800
Training Epoch: 38 [43648/49812]	Loss: 0.4674	LR: 0.000800
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Training Epoch: 38 [44032/49812]	Loss: 0.2859	LR: 0.000800
Training Epoch: 38 [44096/49812]	Loss: 0.3325	LR: 0.000800
Training Epoch: 38 [44160/49812]	Loss: 0.4387	LR: 0.000800
Training Epoch: 38 [44224/49812]	Loss: 0.3352	LR: 0.000800
Training Epoch: 38 [44288/49812]	Loss: 0.4443	LR: 0.000800
Training Epoch: 38 [44352/49812]	Loss: 0.5232	LR: 0.000800
Training Epoch: 38 [44416/49812]	Loss: 0.3134	LR: 0.000800
Training Epoch: 38 [44480/49812]	Loss: 0.2502	LR: 0.000800
Training Epoch: 38 [44544/49812]	Loss: 0.3666	LR: 0.000800
Training Epoch: 38 [44608/49812]	Loss: 0.4750	LR: 0.000800
Training Epoch: 38 [44672/49812]	Loss: 0.3051	LR: 0.000800
Training Epoch: 38 [44736/49812]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [44800/49812]	Loss: 0.5920	LR: 0.000800
Training Epoch: 38 [44864/49812]	Loss: 0.4566	LR: 0.000800
Training Epoch: 38 [44928/49812]	Loss: 0.3023	LR: 0.000800
Training Epoch: 38 [44992/49812]	Loss: 0.3705	LR: 0.000800
Training Epoch: 38 [45056/49812]	Loss: 0.3406	LR: 0.000800
Training Epoch: 38 [45120/49812]	Loss: 0.5341	LR: 0.000800
Training Epoch: 38 [45184/49812]	Loss: 0.2771	LR: 0.000800
Training Epoch: 38 [45248/49812]	Loss: 0.4005	LR: 0.000800
Training Epoch: 38 [45312/49812]	Loss: 0.3821	LR: 0.000800
Training Epoch: 38 [45376/49812]	Loss: 0.4661	LR: 0.000800
Training Epoch: 38 [45440/49812]	Loss: 0.3804	LR: 0.000800
Training Epoch: 38 [45504/49812]	Loss: 0.2882	LR: 0.000800
Training Epoch: 38 [45568/49812]	Loss: 0.3086	LR: 0.000800
Training Epoch: 38 [45632/49812]	Loss: 0.2729	LR: 0.000800
Training Epoch: 38 [45696/49812]	Loss: 0.4386	LR: 0.000800
Training Epoch: 38 [45760/49812]	Loss: 0.1887	LR: 0.000800
Training Epoch: 38 [45824/49812]	Loss: 0.5583	LR: 0.000800
Training Epoch: 38 [45888/49812]	Loss: 0.4273	LR: 0.000800
Training Epoch: 38 [45952/49812]	Loss: 0.6218	LR: 0.000800
Training Epoch: 38 [46016/49812]	Loss: 0.3513	LR: 0.000800
Training Epoch: 38 [46080/49812]	Loss: 0.3072	LR: 0.000800
Training Epoch: 38 [46144/49812]	Loss: 0.3446	LR: 0.000800
Training Epoch: 38 [46208/49812]	Loss: 0.4296	LR: 0.000800
Training Epoch: 38 [46272/49812]	Loss: 0.5720	LR: 0.000800
Training Epoch: 38 [46336/49812]	Loss: 0.2083	LR: 0.000800
Training Epoch: 38 [46400/49812]	Loss: 0.6157	LR: 0.000800
Training Epoch: 38 [46464/49812]	Loss: 0.5387	LR: 0.000800
Training Epoch: 38 [46528/49812]	Loss: 0.2298	LR: 0.000800
Training Epoch: 38 [46592/49812]	Loss: 0.4251	LR: 0.000800
Training Epoch: 38 [46656/49812]	Loss: 0.2063	LR: 0.000800
Training Epoch: 38 [46720/49812]	Loss: 0.3615	LR: 0.000800
Training Epoch: 38 [46784/49812]	Loss: 0.4825	LR: 0.000800
Training Epoch: 38 [46848/49812]	Loss: 0.3123	LR: 0.000800
Training Epoch: 38 [46912/49812]	Loss: 0.3522	LR: 0.000800
Training Epoch: 38 [46976/49812]	Loss: 0.3534	LR: 0.000800
Training Epoch: 38 [47040/49812]	Loss: 0.4526	LR: 0.000800
Training Epoch: 38 [47104/49812]	Loss: 0.5627	LR: 0.000800
Training Epoch: 38 [47168/49812]	Loss: 0.7762	LR: 0.000800
Training Epoch: 38 [47232/49812]	Loss: 0.3422	LR: 0.000800
Training Epoch: 38 [47296/49812]	Loss: 0.2602	LR: 0.000800
Training Epoch: 38 [47360/49812]	Loss: 0.5107	LR: 0.000800
Training Epoch: 38 [47424/49812]	Loss: 0.2584	LR: 0.000800
Training Epoch: 38 [47488/49812]	Loss: 0.4622	LR: 0.000800
Training Epoch: 38 [47552/49812]	Loss: 0.2971	LR: 0.000800
Training Epoch: 38 [47616/49812]	Loss: 0.2665	LR: 0.000800
Training Epoch: 38 [47680/49812]	Loss: 0.4702	LR: 0.000800
Training Epoch: 38 [47744/49812]	Loss: 0.3113	LR: 0.000800
Training Epoch: 38 [47808/49812]	Loss: 0.4504	LR: 0.000800
Training Epoch: 38 [47872/49812]	Loss: 0.3560	LR: 0.000800
Training Epoch: 38 [47936/49812]	Loss: 0.5156	LR: 0.000800
Training Epoch: 38 [48000/49812]	Loss: 0.3988	LR: 0.000800
Training Epoch: 38 [48064/49812]	Loss: 0.3472	LR: 0.000800
Training Epoch: 38 [48128/49812]	Loss: 0.2974	LR: 0.000800
Training Epoch: 38 [48192/49812]	Loss: 0.2903	LR: 0.000800
Training Epoch: 38 [48256/49812]	Loss: 0.3941	LR: 0.000800
Training Epoch: 38 [48320/49812]	Loss: 0.2523	LR: 0.000800
Training Epoch: 38 [48384/49812]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [48448/49812]	Loss: 0.4103	LR: 0.000800
Training Epoch: 38 [48512/49812]	Loss: 0.5343	LR: 0.000800
Training Epoch: 38 [48576/49812]	Loss: 0.4314	LR: 0.000800
Training Epoch: 38 [48640/49812]	Loss: 0.4019	LR: 0.000800
Training Epoch: 38 [48704/49812]	Loss: 0.5982	LR: 0.000800
Training Epoch: 38 [48768/49812]	Loss: 0.6112	LR: 0.000800
Training Epoch: 38 [48832/49812]	Loss: 0.4471	LR: 0.000800
Training Epoch: 38 [48896/49812]	Loss: 0.2973	LR: 0.000800
Training Epoch: 38 [48960/49812]	Loss: 0.3868	LR: 0.000800
Training Epoch: 38 [49024/49812]	Loss: 0.3223	LR: 0.000800
Training Epoch: 38 [49088/49812]	Loss: 0.3347	LR: 0.000800
Training Epoch: 38 [49152/49812]	Loss: 0.5058	LR: 0.000800
Training Epoch: 38 [49216/49812]	Loss: 0.3005	LR: 0.000800
Training Epoch: 38 [49280/49812]	Loss: 0.2853	LR: 0.000800
Training Epoch: 38 [49344/49812]	Loss: 0.4340	LR: 0.000800
Training Epoch: 38 [49408/49812]	Loss: 0.4324	LR: 0.000800
Training Epoch: 38 [49472/49812]	Loss: 0.3669	LR: 0.000800
Training Epoch: 38 [49536/49812]	Loss: 0.5182	LR: 0.000800
Training Epoch: 38 [49600/49812]	Loss: 0.3337	LR: 0.000800
Training Epoch: 38 [49664/49812]	Loss: 0.6104	LR: 0.000800
Training Epoch: 38 [49728/49812]	Loss: 0.3190	LR: 0.000800
Training Epoch: 38 [49792/49812]	Loss: 0.3948	LR: 0.000800
Training Epoch: 38 [49812/49812]	Loss: 0.7109	LR: 0.000800
Epoch 38 - Average Train Loss: 0.3953, Train Accuracy: 0.8767
Epoch 38 training time consumed: 263.14s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0104, Accuracy: 0.7979, Time consumed:16.69s
Training Epoch: 39 [64/49812]	Loss: 0.4943	LR: 0.000800
Training Epoch: 39 [128/49812]	Loss: 0.3766	LR: 0.000800
Training Epoch: 39 [192/49812]	Loss: 0.3710	LR: 0.000800
Training Epoch: 39 [256/49812]	Loss: 0.2523	LR: 0.000800
Training Epoch: 39 [320/49812]	Loss: 0.2671	LR: 0.000800
Training Epoch: 39 [384/49812]	Loss: 0.4462	LR: 0.000800
Training Epoch: 39 [448/49812]	Loss: 0.3651	LR: 0.000800
Training Epoch: 39 [512/49812]	Loss: 0.4388	LR: 0.000800
Training Epoch: 39 [576/49812]	Loss: 0.4594	LR: 0.000800
Training Epoch: 39 [640/49812]	Loss: 0.3434	LR: 0.000800
Training Epoch: 39 [704/49812]	Loss: 0.3913	LR: 0.000800
Training Epoch: 39 [768/49812]	Loss: 0.3402	LR: 0.000800
Training Epoch: 39 [832/49812]	Loss: 0.3708	LR: 0.000800
Training Epoch: 39 [896/49812]	Loss: 0.4054	LR: 0.000800
Training Epoch: 39 [960/49812]	Loss: 0.4251	LR: 0.000800
Training Epoch: 39 [1024/49812]	Loss: 0.3516	LR: 0.000800
Training Epoch: 39 [1088/49812]	Loss: 0.2220	LR: 0.000800
Training Epoch: 39 [1152/49812]	Loss: 0.2840	LR: 0.000800
Training Epoch: 39 [1216/49812]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [1280/49812]	Loss: 0.3951	LR: 0.000800
Training Epoch: 39 [1344/49812]	Loss: 0.2860	LR: 0.000800
Training Epoch: 39 [1408/49812]	Loss: 0.3086	LR: 0.000800
Training Epoch: 39 [1472/49812]	Loss: 0.3218	LR: 0.000800
Training Epoch: 39 [1536/49812]	Loss: 0.2388	LR: 0.000800
Training Epoch: 39 [1600/49812]	Loss: 0.4437	LR: 0.000800
Training Epoch: 39 [1664/49812]	Loss: 0.3418	LR: 0.000800
Training Epoch: 39 [1728/49812]	Loss: 0.2423	LR: 0.000800
Training Epoch: 39 [1792/49812]	Loss: 0.2050	LR: 0.000800
Training Epoch: 39 [1856/49812]	Loss: 0.3058	LR: 0.000800
Training Epoch: 39 [1920/49812]	Loss: 0.5783	LR: 0.000800
Training Epoch: 39 [1984/49812]	Loss: 0.3970	LR: 0.000800
Training Epoch: 39 [2048/49812]	Loss: 0.5259	LR: 0.000800
Training Epoch: 39 [2112/49812]	Loss: 0.3937	LR: 0.000800
Training Epoch: 39 [2176/49812]	Loss: 0.2577	LR: 0.000800
Training Epoch: 39 [2240/49812]	Loss: 0.2537	LR: 0.000800
Training Epoch: 39 [2304/49812]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [2368/49812]	Loss: 0.4490	LR: 0.000800
Training Epoch: 39 [2432/49812]	Loss: 0.3770	LR: 0.000800
Training Epoch: 39 [2496/49812]	Loss: 0.3717	LR: 0.000800
Training Epoch: 39 [2560/49812]	Loss: 0.3094	LR: 0.000800
Training Epoch: 39 [2624/49812]	Loss: 0.3724	LR: 0.000800
Training Epoch: 39 [2688/49812]	Loss: 0.2781	LR: 0.000800
Training Epoch: 39 [2752/49812]	Loss: 0.3019	LR: 0.000800
Training Epoch: 39 [2816/49812]	Loss: 0.5628	LR: 0.000800
Training Epoch: 39 [2880/49812]	Loss: 0.3305	LR: 0.000800
Training Epoch: 39 [2944/49812]	Loss: 0.4404	LR: 0.000800
Training Epoch: 39 [3008/49812]	Loss: 0.3499	LR: 0.000800
Training Epoch: 39 [3072/49812]	Loss: 0.3089	LR: 0.000800
Training Epoch: 39 [3136/49812]	Loss: 0.4243	LR: 0.000800
Training Epoch: 39 [3200/49812]	Loss: 0.4694	LR: 0.000800
Training Epoch: 39 [3264/49812]	Loss: 0.3503	LR: 0.000800
Training Epoch: 39 [3328/49812]	Loss: 0.3596	LR: 0.000800
Training Epoch: 39 [3392/49812]	Loss: 0.4234	LR: 0.000800
Training Epoch: 39 [3456/49812]	Loss: 0.3245	LR: 0.000800
Training Epoch: 39 [3520/49812]	Loss: 0.4681	LR: 0.000800
Training Epoch: 39 [3584/49812]	Loss: 0.3838	LR: 0.000800
Training Epoch: 39 [3648/49812]	Loss: 0.2784	LR: 0.000800
Training Epoch: 39 [3712/49812]	Loss: 0.2636	LR: 0.000800
Training Epoch: 39 [3776/49812]	Loss: 0.4798	LR: 0.000800
Training Epoch: 39 [3840/49812]	Loss: 0.4204	LR: 0.000800
Training Epoch: 39 [3904/49812]	Loss: 0.3987	LR: 0.000800
Training Epoch: 39 [3968/49812]	Loss: 0.3472	LR: 0.000800
Training Epoch: 39 [4032/49812]	Loss: 0.3322	LR: 0.000800
Training Epoch: 39 [4096/49812]	Loss: 0.3847	LR: 0.000800
Training Epoch: 39 [4160/49812]	Loss: 0.5819	LR: 0.000800
Training Epoch: 39 [4224/49812]	Loss: 0.3706	LR: 0.000800
Training Epoch: 39 [4288/49812]	Loss: 0.3370	LR: 0.000800
Training Epoch: 39 [4352/49812]	Loss: 0.4720	LR: 0.000800
Training Epoch: 39 [4416/49812]	Loss: 0.3801	LR: 0.000800
Training Epoch: 39 [4480/49812]	Loss: 0.3638	LR: 0.000800
Training Epoch: 39 [4544/49812]	Loss: 0.2614	LR: 0.000800
Training Epoch: 39 [4608/49812]	Loss: 0.3547	LR: 0.000800
Training Epoch: 39 [4672/49812]	Loss: 0.3194	LR: 0.000800
Training Epoch: 39 [4736/49812]	Loss: 0.3553	LR: 0.000800
Training Epoch: 39 [4800/49812]	Loss: 0.4890	LR: 0.000800
Training Epoch: 39 [4864/49812]	Loss: 0.2624	LR: 0.000800
Training Epoch: 39 [4928/49812]	Loss: 0.3867	LR: 0.000800
Training Epoch: 39 [4992/49812]	Loss: 0.3692	LR: 0.000800
Training Epoch: 39 [5056/49812]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [5120/49812]	Loss: 0.6501	LR: 0.000800
Training Epoch: 39 [5184/49812]	Loss: 0.3530	LR: 0.000800
Training Epoch: 39 [5248/49812]	Loss: 0.3523	LR: 0.000800
Training Epoch: 39 [5312/49812]	Loss: 0.2649	LR: 0.000800
Training Epoch: 39 [5376/49812]	Loss: 0.2925	LR: 0.000800
Training Epoch: 39 [5440/49812]	Loss: 0.4274	LR: 0.000800
Training Epoch: 39 [5504/49812]	Loss: 0.3633	LR: 0.000800
Training Epoch: 39 [5568/49812]	Loss: 0.4435	LR: 0.000800
Training Epoch: 39 [5632/49812]	Loss: 0.3919	LR: 0.000800
Training Epoch: 39 [5696/49812]	Loss: 0.4134	LR: 0.000800
Training Epoch: 39 [5760/49812]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [5824/49812]	Loss: 0.3997	LR: 0.000800
Training Epoch: 39 [5888/49812]	Loss: 0.2666	LR: 0.000800
Training Epoch: 39 [5952/49812]	Loss: 0.2925	LR: 0.000800
Training Epoch: 39 [6016/49812]	Loss: 0.3685	LR: 0.000800
Training Epoch: 39 [6080/49812]	Loss: 0.3309	LR: 0.000800
Training Epoch: 39 [6144/49812]	Loss: 0.3444	LR: 0.000800
Training Epoch: 39 [6208/49812]	Loss: 0.2921	LR: 0.000800
Training Epoch: 39 [6272/49812]	Loss: 0.3799	LR: 0.000800
Training Epoch: 39 [6336/49812]	Loss: 0.2295	LR: 0.000800
Training Epoch: 39 [6400/49812]	Loss: 0.3027	LR: 0.000800
Training Epoch: 39 [6464/49812]	Loss: 0.3245	LR: 0.000800
Training Epoch: 39 [6528/49812]	Loss: 0.3710	LR: 0.000800
Training Epoch: 39 [6592/49812]	Loss: 0.3168	LR: 0.000800
Training Epoch: 39 [6656/49812]	Loss: 0.2711	LR: 0.000800
Training Epoch: 39 [6720/49812]	Loss: 0.4492	LR: 0.000800
Training Epoch: 39 [6784/49812]	Loss: 0.3697	LR: 0.000800
Training Epoch: 39 [6848/49812]	Loss: 0.4567	LR: 0.000800
Training Epoch: 39 [6912/49812]	Loss: 0.4194	LR: 0.000800
Training Epoch: 39 [6976/49812]	Loss: 0.3213	LR: 0.000800
Training Epoch: 39 [7040/49812]	Loss: 0.7211	LR: 0.000800
Training Epoch: 39 [7104/49812]	Loss: 0.4528	LR: 0.000800
Training Epoch: 39 [7168/49812]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [7232/49812]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [7296/49812]	Loss: 0.3322	LR: 0.000800
Training Epoch: 39 [7360/49812]	Loss: 0.2955	LR: 0.000800
Training Epoch: 39 [7424/49812]	Loss: 0.5875	LR: 0.000800
Training Epoch: 39 [7488/49812]	Loss: 0.2855	LR: 0.000800
Training Epoch: 39 [7552/49812]	Loss: 0.3639	LR: 0.000800
Training Epoch: 39 [7616/49812]	Loss: 0.2903	LR: 0.000800
Training Epoch: 39 [7680/49812]	Loss: 0.3642	LR: 0.000800
Training Epoch: 39 [7744/49812]	Loss: 0.5720	LR: 0.000800
Training Epoch: 39 [7808/49812]	Loss: 0.4283	LR: 0.000800
Training Epoch: 39 [7872/49812]	Loss: 0.2379	LR: 0.000800
Training Epoch: 39 [7936/49812]	Loss: 0.2555	LR: 0.000800
Training Epoch: 39 [8000/49812]	Loss: 0.2922	LR: 0.000800
Training Epoch: 39 [8064/49812]	Loss: 0.4111	LR: 0.000800
Training Epoch: 39 [8128/49812]	Loss: 0.6432	LR: 0.000800
Training Epoch: 39 [8192/49812]	Loss: 0.3466	LR: 0.000800
Training Epoch: 39 [8256/49812]	Loss: 0.3856	LR: 0.000800
Training Epoch: 39 [8320/49812]	Loss: 0.2381	LR: 0.000800
Training Epoch: 39 [8384/49812]	Loss: 0.2632	LR: 0.000800
Training Epoch: 39 [8448/49812]	Loss: 0.3521	LR: 0.000800
Training Epoch: 39 [8512/49812]	Loss: 0.3463	LR: 0.000800
Training Epoch: 39 [8576/49812]	Loss: 0.3589	LR: 0.000800
Training Epoch: 39 [8640/49812]	Loss: 0.4789	LR: 0.000800
Training Epoch: 39 [8704/49812]	Loss: 0.3931	LR: 0.000800
Training Epoch: 39 [8768/49812]	Loss: 0.2647	LR: 0.000800
Training Epoch: 39 [8832/49812]	Loss: 0.4260	LR: 0.000800
Training Epoch: 39 [8896/49812]	Loss: 0.4027	LR: 0.000800
Training Epoch: 39 [8960/49812]	Loss: 0.4574	LR: 0.000800
Training Epoch: 39 [9024/49812]	Loss: 0.3888	LR: 0.000800
Training Epoch: 39 [9088/49812]	Loss: 0.5047	LR: 0.000800
Training Epoch: 39 [9152/49812]	Loss: 0.4001	LR: 0.000800
Training Epoch: 39 [9216/49812]	Loss: 0.3425	LR: 0.000800
Training Epoch: 39 [9280/49812]	Loss: 0.3250	LR: 0.000800
Training Epoch: 39 [9344/49812]	Loss: 0.4813	LR: 0.000800
Training Epoch: 39 [9408/49812]	Loss: 0.5274	LR: 0.000800
Training Epoch: 39 [9472/49812]	Loss: 0.3205	LR: 0.000800
Training Epoch: 39 [9536/49812]	Loss: 0.4099	LR: 0.000800
Training Epoch: 39 [9600/49812]	Loss: 0.4316	LR: 0.000800
Training Epoch: 39 [9664/49812]	Loss: 0.3138	LR: 0.000800
Training Epoch: 39 [9728/49812]	Loss: 0.3881	LR: 0.000800
Training Epoch: 39 [9792/49812]	Loss: 0.3106	LR: 0.000800
Training Epoch: 39 [9856/49812]	Loss: 0.3908	LR: 0.000800
Training Epoch: 39 [9920/49812]	Loss: 0.3738	LR: 0.000800
Training Epoch: 39 [9984/49812]	Loss: 0.3240	LR: 0.000800
Training Epoch: 39 [10048/49812]	Loss: 0.4277	LR: 0.000800
Training Epoch: 39 [10112/49812]	Loss: 0.2828	LR: 0.000800
Training Epoch: 39 [10176/49812]	Loss: 0.4829	LR: 0.000800
Training Epoch: 39 [10240/49812]	Loss: 0.3565	LR: 0.000800
Training Epoch: 39 [10304/49812]	Loss: 0.3756	LR: 0.000800
Training Epoch: 39 [10368/49812]	Loss: 0.4008	LR: 0.000800
Training Epoch: 39 [10432/49812]	Loss: 0.4203	LR: 0.000800
Training Epoch: 39 [10496/49812]	Loss: 0.4874	LR: 0.000800
Training Epoch: 39 [10560/49812]	Loss: 0.3015	LR: 0.000800
Training Epoch: 39 [10624/49812]	Loss: 0.3709	LR: 0.000800
Training Epoch: 39 [10688/49812]	Loss: 0.2157	LR: 0.000800
Training Epoch: 39 [10752/49812]	Loss: 0.4277	LR: 0.000800
Training Epoch: 39 [10816/49812]	Loss: 0.3473	LR: 0.000800
Training Epoch: 39 [10880/49812]	Loss: 0.3633	LR: 0.000800
Training Epoch: 39 [10944/49812]	Loss: 0.4805	LR: 0.000800
Training Epoch: 39 [11008/49812]	Loss: 0.4759	LR: 0.000800
Training Epoch: 39 [11072/49812]	Loss: 0.4750	LR: 0.000800
Training Epoch: 39 [11136/49812]	Loss: 0.3573	LR: 0.000800
Training Epoch: 39 [11200/49812]	Loss: 0.3832	LR: 0.000800
Training Epoch: 39 [11264/49812]	Loss: 0.4632	LR: 0.000800
Training Epoch: 39 [11328/49812]	Loss: 0.5284	LR: 0.000800
Training Epoch: 39 [11392/49812]	Loss: 0.5145	LR: 0.000800
Training Epoch: 39 [11456/49812]	Loss: 0.4220	LR: 0.000800
Training Epoch: 39 [11520/49812]	Loss: 0.2296	LR: 0.000800
Training Epoch: 39 [11584/49812]	Loss: 0.3816	LR: 0.000800
Training Epoch: 39 [11648/49812]	Loss: 0.3231	LR: 0.000800
Training Epoch: 39 [11712/49812]	Loss: 0.4710	LR: 0.000800
Training Epoch: 39 [11776/49812]	Loss: 0.2243	LR: 0.000800
Training Epoch: 39 [11840/49812]	Loss: 0.3659	LR: 0.000800
Training Epoch: 39 [11904/49812]	Loss: 0.2150	LR: 0.000800
Training Epoch: 39 [11968/49812]	Loss: 0.4131	LR: 0.000800
Training Epoch: 39 [12032/49812]	Loss: 0.5163	LR: 0.000800
Training Epoch: 39 [12096/49812]	Loss: 0.3505	LR: 0.000800
Training Epoch: 39 [12160/49812]	Loss: 0.2000	LR: 0.000800
Training Epoch: 39 [12224/49812]	Loss: 0.1875	LR: 0.000800
Training Epoch: 39 [12288/49812]	Loss: 0.4321	LR: 0.000800
Training Epoch: 39 [12352/49812]	Loss: 0.4066	LR: 0.000800
Training Epoch: 39 [12416/49812]	Loss: 0.4866	LR: 0.000800
Training Epoch: 39 [12480/49812]	Loss: 0.5524	LR: 0.000800
Training Epoch: 39 [12544/49812]	Loss: 0.3960	LR: 0.000800
Training Epoch: 39 [12608/49812]	Loss: 0.2967	LR: 0.000800
Training Epoch: 39 [12672/49812]	Loss: 0.3501	LR: 0.000800
Training Epoch: 39 [12736/49812]	Loss: 0.3693	LR: 0.000800
Training Epoch: 39 [12800/49812]	Loss: 0.2811	LR: 0.000800
Training Epoch: 39 [12864/49812]	Loss: 0.3302	LR: 0.000800
Training Epoch: 39 [12928/49812]	Loss: 0.2297	LR: 0.000800
Training Epoch: 39 [12992/49812]	Loss: 0.4133	LR: 0.000800
Training Epoch: 39 [13056/49812]	Loss: 0.3339	LR: 0.000800
Training Epoch: 39 [13120/49812]	Loss: 0.4453	LR: 0.000800
Training Epoch: 39 [13184/49812]	Loss: 0.4213	LR: 0.000800
Training Epoch: 39 [13248/49812]	Loss: 0.3656	LR: 0.000800
Training Epoch: 39 [13312/49812]	Loss: 0.3447	LR: 0.000800
Training Epoch: 39 [13376/49812]	Loss: 0.7218	LR: 0.000800
Training Epoch: 39 [13440/49812]	Loss: 0.2638	LR: 0.000800
Training Epoch: 39 [13504/49812]	Loss: 0.3022	LR: 0.000800
Training Epoch: 39 [13568/49812]	Loss: 0.4513	LR: 0.000800
Training Epoch: 39 [13632/49812]	Loss: 0.4729	LR: 0.000800
Training Epoch: 39 [13696/49812]	Loss: 0.3579	LR: 0.000800
Training Epoch: 39 [13760/49812]	Loss: 0.4597	LR: 0.000800
Training Epoch: 39 [13824/49812]	Loss: 0.4942	LR: 0.000800
Training Epoch: 39 [13888/49812]	Loss: 0.4624	LR: 0.000800
Training Epoch: 39 [13952/49812]	Loss: 0.3472	LR: 0.000800
Training Epoch: 39 [14016/49812]	Loss: 0.3498	LR: 0.000800
Training Epoch: 39 [14080/49812]	Loss: 0.4399	LR: 0.000800
Training Epoch: 39 [14144/49812]	Loss: 0.6253	LR: 0.000800
Training Epoch: 39 [14208/49812]	Loss: 0.3138	LR: 0.000800
Training Epoch: 39 [14272/49812]	Loss: 0.4131	LR: 0.000800
Training Epoch: 39 [14336/49812]	Loss: 0.4679	LR: 0.000800
Training Epoch: 39 [14400/49812]	Loss: 0.2979	LR: 0.000800
Training Epoch: 39 [14464/49812]	Loss: 0.3806	LR: 0.000800
Training Epoch: 39 [14528/49812]	Loss: 0.5412	LR: 0.000800
Training Epoch: 39 [14592/49812]	Loss: 0.2732	LR: 0.000800
Training Epoch: 39 [14656/49812]	Loss: 0.3691	LR: 0.000800
Training Epoch: 39 [14720/49812]	Loss: 0.3531	LR: 0.000800
Training Epoch: 39 [14784/49812]	Loss: 0.4708	LR: 0.000800
Training Epoch: 39 [14848/49812]	Loss: 0.4801	LR: 0.000800
Training Epoch: 39 [14912/49812]	Loss: 0.3388	LR: 0.000800
Training Epoch: 39 [14976/49812]	Loss: 0.3920	LR: 0.000800
Training Epoch: 39 [15040/49812]	Loss: 0.4703	LR: 0.000800
Training Epoch: 39 [15104/49812]	Loss: 0.2634	LR: 0.000800
Training Epoch: 39 [15168/49812]	Loss: 0.3807	LR: 0.000800
Training Epoch: 39 [15232/49812]	Loss: 0.3889	LR: 0.000800
Training Epoch: 39 [15296/49812]	Loss: 0.3133	LR: 0.000800
Training Epoch: 39 [15360/49812]	Loss: 0.4112	LR: 0.000800
Training Epoch: 39 [15424/49812]	Loss: 0.2855	LR: 0.000800
Training Epoch: 39 [15488/49812]	Loss: 0.5086	LR: 0.000800
Training Epoch: 39 [15552/49812]	Loss: 0.6887	LR: 0.000800
Training Epoch: 39 [15616/49812]	Loss: 0.4498	LR: 0.000800
Training Epoch: 39 [15680/49812]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [15744/49812]	Loss: 0.2663	LR: 0.000800
Training Epoch: 39 [15808/49812]	Loss: 0.2934	LR: 0.000800
Training Epoch: 39 [15872/49812]	Loss: 0.5048	LR: 0.000800
Training Epoch: 39 [15936/49812]	Loss: 0.3841	LR: 0.000800
Training Epoch: 39 [16000/49812]	Loss: 0.3435	LR: 0.000800
Training Epoch: 39 [16064/49812]	Loss: 0.4062	LR: 0.000800
Training Epoch: 39 [16128/49812]	Loss: 0.2703	LR: 0.000800
Training Epoch: 39 [16192/49812]	Loss: 0.3652	LR: 0.000800
Training Epoch: 39 [16256/49812]	Loss: 0.4566	LR: 0.000800
Training Epoch: 39 [16320/49812]	Loss: 0.4350	LR: 0.000800
Training Epoch: 39 [16384/49812]	Loss: 0.3896	LR: 0.000800
Training Epoch: 39 [16448/49812]	Loss: 0.4129	LR: 0.000800
Training Epoch: 39 [16512/49812]	Loss: 0.4581	LR: 0.000800
Training Epoch: 39 [16576/49812]	Loss: 0.3305	LR: 0.000800
Training Epoch: 39 [16640/49812]	Loss: 0.3657	LR: 0.000800
Training Epoch: 39 [16704/49812]	Loss: 0.4585	LR: 0.000800
Training Epoch: 39 [16768/49812]	Loss: 0.3429	LR: 0.000800
Training Epoch: 39 [16832/49812]	Loss: 0.3575	LR: 0.000800
Training Epoch: 39 [16896/49812]	Loss: 0.2689	LR: 0.000800
Training Epoch: 39 [16960/49812]	Loss: 0.3408	LR: 0.000800
Training Epoch: 39 [17024/49812]	Loss: 0.3717	LR: 0.000800
Training Epoch: 39 [17088/49812]	Loss: 0.4144	LR: 0.000800
Training Epoch: 39 [17152/49812]	Loss: 0.3582	LR: 0.000800
Training Epoch: 39 [17216/49812]	Loss: 0.3758	LR: 0.000800
Training Epoch: 39 [17280/49812]	Loss: 0.3073	LR: 0.000800
Training Epoch: 39 [17344/49812]	Loss: 0.2912	LR: 0.000800
Training Epoch: 39 [17408/49812]	Loss: 0.4343	LR: 0.000800
Training Epoch: 39 [17472/49812]	Loss: 0.3095	LR: 0.000800
Training Epoch: 39 [17536/49812]	Loss: 0.4092	LR: 0.000800
Training Epoch: 39 [17600/49812]	Loss: 0.4596	LR: 0.000800
Training Epoch: 39 [17664/49812]	Loss: 0.3844	LR: 0.000800
Training Epoch: 39 [17728/49812]	Loss: 0.3074	LR: 0.000800
Training Epoch: 39 [17792/49812]	Loss: 0.4759	LR: 0.000800
Training Epoch: 39 [17856/49812]	Loss: 0.2884	LR: 0.000800
Training Epoch: 39 [17920/49812]	Loss: 0.3584	LR: 0.000800
Training Epoch: 39 [17984/49812]	Loss: 0.3791	LR: 0.000800
Training Epoch: 39 [18048/49812]	Loss: 0.3031	LR: 0.000800
Training Epoch: 39 [18112/49812]	Loss: 0.2884	LR: 0.000800
Training Epoch: 39 [18176/49812]	Loss: 0.3944	LR: 0.000800
Training Epoch: 39 [18240/49812]	Loss: 0.2467	LR: 0.000800
Training Epoch: 39 [18304/49812]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [18368/49812]	Loss: 0.3516	LR: 0.000800
Training Epoch: 39 [18432/49812]	Loss: 0.4145	LR: 0.000800
Training Epoch: 39 [18496/49812]	Loss: 0.5386	LR: 0.000800
Training Epoch: 39 [18560/49812]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [18624/49812]	Loss: 0.3386	LR: 0.000800
Training Epoch: 39 [18688/49812]	Loss: 0.6022	LR: 0.000800
Training Epoch: 39 [18752/49812]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [18816/49812]	Loss: 0.4462	LR: 0.000800
Training Epoch: 39 [18880/49812]	Loss: 0.3834	LR: 0.000800
Training Epoch: 39 [18944/49812]	Loss: 0.3592	LR: 0.000800
Training Epoch: 39 [19008/49812]	Loss: 0.3037	LR: 0.000800
Training Epoch: 39 [19072/49812]	Loss: 0.5149	LR: 0.000800
Training Epoch: 39 [19136/49812]	Loss: 0.2933	LR: 0.000800
Training Epoch: 39 [19200/49812]	Loss: 0.3321	LR: 0.000800
Training Epoch: 39 [19264/49812]	Loss: 0.4774	LR: 0.000800
Training Epoch: 39 [19328/49812]	Loss: 0.4083	LR: 0.000800
Training Epoch: 39 [19392/49812]	Loss: 0.2741	LR: 0.000800
Training Epoch: 39 [19456/49812]	Loss: 0.4832	LR: 0.000800
Training Epoch: 39 [19520/49812]	Loss: 0.4948	LR: 0.000800
Training Epoch: 39 [19584/49812]	Loss: 0.4624	LR: 0.000800
Training Epoch: 39 [19648/49812]	Loss: 0.3570	LR: 0.000800
Training Epoch: 39 [19712/49812]	Loss: 0.4028	LR: 0.000800
Training Epoch: 39 [19776/49812]	Loss: 0.3571	LR: 0.000800
Training Epoch: 39 [19840/49812]	Loss: 0.3320	LR: 0.000800
Training Epoch: 39 [19904/49812]	Loss: 0.4280	LR: 0.000800
Training Epoch: 39 [19968/49812]	Loss: 0.4279	LR: 0.000800
Training Epoch: 39 [20032/49812]	Loss: 0.3825	LR: 0.000800
Training Epoch: 39 [20096/49812]	Loss: 0.3761	LR: 0.000800
Training Epoch: 39 [20160/49812]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [20224/49812]	Loss: 0.3561	LR: 0.000800
Training Epoch: 39 [20288/49812]	Loss: 0.4387	LR: 0.000800
Training Epoch: 39 [20352/49812]	Loss: 0.4014	LR: 0.000800
Training Epoch: 39 [20416/49812]	Loss: 0.3412	LR: 0.000800
Training Epoch: 39 [20480/49812]	Loss: 0.2525	LR: 0.000800
Training Epoch: 39 [20544/49812]	Loss: 0.4100	LR: 0.000800
Training Epoch: 39 [20608/49812]	Loss: 0.4358	LR: 0.000800
Training Epoch: 39 [20672/49812]	Loss: 0.4230	LR: 0.000800
Training Epoch: 39 [20736/49812]	Loss: 0.4024	LR: 0.000800
Training Epoch: 39 [20800/49812]	Loss: 0.2723	LR: 0.000800
Training Epoch: 39 [20864/49812]	Loss: 0.4613	LR: 0.000800
Training Epoch: 39 [20928/49812]	Loss: 0.3558	LR: 0.000800
Training Epoch: 39 [20992/49812]	Loss: 0.3582	LR: 0.000800
Training Epoch: 39 [21056/49812]	Loss: 0.4581	LR: 0.000800
Training Epoch: 39 [21120/49812]	Loss: 0.4742	LR: 0.000800
Training Epoch: 39 [21184/49812]	Loss: 0.4758	LR: 0.000800
Training Epoch: 39 [21248/49812]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [21312/49812]	Loss: 0.4468	LR: 0.000800
Training Epoch: 39 [21376/49812]	Loss: 0.2712	LR: 0.000800
Training Epoch: 39 [21440/49812]	Loss: 0.6245	LR: 0.000800
Training Epoch: 39 [21504/49812]	Loss: 0.1986	LR: 0.000800
Training Epoch: 39 [21568/49812]	Loss: 0.3808	LR: 0.000800
Training Epoch: 39 [21632/49812]	Loss: 0.3312	LR: 0.000800
Training Epoch: 39 [21696/49812]	Loss: 0.4135	LR: 0.000800
Training Epoch: 39 [21760/49812]	Loss: 0.3723	LR: 0.000800
Training Epoch: 39 [21824/49812]	Loss: 0.3286	LR: 0.000800
Training Epoch: 39 [21888/49812]	Loss: 0.3702	LR: 0.000800
Training Epoch: 39 [21952/49812]	Loss: 0.3093	LR: 0.000800
Training Epoch: 39 [22016/49812]	Loss: 0.5782	LR: 0.000800
Training Epoch: 39 [22080/49812]	Loss: 0.4054	LR: 0.000800
Training Epoch: 39 [22144/49812]	Loss: 0.4290	LR: 0.000800
Training Epoch: 39 [22208/49812]	Loss: 0.4485	LR: 0.000800
Training Epoch: 39 [22272/49812]	Loss: 0.5640	LR: 0.000800
Training Epoch: 39 [22336/49812]	Loss: 0.4476	LR: 0.000800
Training Epoch: 39 [22400/49812]	Loss: 0.4452	LR: 0.000800
Training Epoch: 39 [22464/49812]	Loss: 0.4116	LR: 0.000800
Training Epoch: 39 [22528/49812]	Loss: 0.3573	LR: 0.000800
Training Epoch: 39 [22592/49812]	Loss: 0.2963	LR: 0.000800
Training Epoch: 39 [22656/49812]	Loss: 0.4117	LR: 0.000800
Training Epoch: 39 [22720/49812]	Loss: 0.2709	LR: 0.000800
Training Epoch: 39 [22784/49812]	Loss: 0.3002	LR: 0.000800
Training Epoch: 39 [22848/49812]	Loss: 0.5534	LR: 0.000800
Training Epoch: 39 [22912/49812]	Loss: 0.3445	LR: 0.000800
Training Epoch: 39 [22976/49812]	Loss: 0.4743	LR: 0.000800
Training Epoch: 39 [23040/49812]	Loss: 0.4539	LR: 0.000800
Training Epoch: 39 [23104/49812]	Loss: 0.3679	LR: 0.000800
Training Epoch: 39 [23168/49812]	Loss: 0.3467	LR: 0.000800
Training Epoch: 39 [23232/49812]	Loss: 0.3911	LR: 0.000800
Training Epoch: 39 [23296/49812]	Loss: 0.2963	LR: 0.000800
Training Epoch: 39 [23360/49812]	Loss: 0.5263	LR: 0.000800
Training Epoch: 39 [23424/49812]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [23488/49812]	Loss: 0.5022	LR: 0.000800
Training Epoch: 39 [23552/49812]	Loss: 0.4095	LR: 0.000800
Training Epoch: 39 [23616/49812]	Loss: 0.5404	LR: 0.000800
Training Epoch: 39 [23680/49812]	Loss: 0.4405	LR: 0.000800
Training Epoch: 39 [23744/49812]	Loss: 0.2812	LR: 0.000800
Training Epoch: 39 [23808/49812]	Loss: 0.1532	LR: 0.000800
Training Epoch: 39 [23872/49812]	Loss: 0.4427	LR: 0.000800
Training Epoch: 39 [23936/49812]	Loss: 0.3486	LR: 0.000800
Training Epoch: 39 [24000/49812]	Loss: 0.3297	LR: 0.000800
Training Epoch: 39 [24064/49812]	Loss: 0.3708	LR: 0.000800
Training Epoch: 39 [24128/49812]	Loss: 0.4316	LR: 0.000800
Training Epoch: 39 [24192/49812]	Loss: 0.2128	LR: 0.000800
Training Epoch: 39 [24256/49812]	Loss: 0.3167	LR: 0.000800
Training Epoch: 39 [24320/49812]	Loss: 0.2544	LR: 0.000800
Training Epoch: 39 [24384/49812]	Loss: 0.2897	LR: 0.000800
Training Epoch: 39 [24448/49812]	Loss: 0.4437	LR: 0.000800
Training Epoch: 39 [24512/49812]	Loss: 0.4335	LR: 0.000800
Training Epoch: 39 [24576/49812]	Loss: 0.4429	LR: 0.000800
Training Epoch: 39 [24640/49812]	Loss: 0.3307	LR: 0.000800
Training Epoch: 39 [24704/49812]	Loss: 0.3611	LR: 0.000800
Training Epoch: 39 [24768/49812]	Loss: 0.5437	LR: 0.000800
Training Epoch: 39 [24832/49812]	Loss: 0.4798	LR: 0.000800
Training Epoch: 39 [24896/49812]	Loss: 0.5488	LR: 0.000800
Training Epoch: 39 [24960/49812]	Loss: 0.5145	LR: 0.000800
Training Epoch: 39 [25024/49812]	Loss: 0.4254	LR: 0.000800
Training Epoch: 39 [25088/49812]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [25152/49812]	Loss: 0.4361	LR: 0.000800
Training Epoch: 39 [25216/49812]	Loss: 0.3546	LR: 0.000800
Training Epoch: 39 [25280/49812]	Loss: 0.3773	LR: 0.000800
Training Epoch: 39 [25344/49812]	Loss: 0.3219	LR: 0.000800
Training Epoch: 39 [25408/49812]	Loss: 0.5547	LR: 0.000800
Training Epoch: 39 [25472/49812]	Loss: 0.4351	LR: 0.000800
Training Epoch: 39 [25536/49812]	Loss: 0.3325	LR: 0.000800
Training Epoch: 39 [25600/49812]	Loss: 0.4897	LR: 0.000800
Training Epoch: 39 [25664/49812]	Loss: 0.4251	LR: 0.000800
Training Epoch: 39 [25728/49812]	Loss: 0.3037	LR: 0.000800
Training Epoch: 39 [25792/49812]	Loss: 0.5146	LR: 0.000800
Training Epoch: 39 [25856/49812]	Loss: 0.6058	LR: 0.000800
Training Epoch: 39 [25920/49812]	Loss: 0.4496	LR: 0.000800
Training Epoch: 39 [25984/49812]	Loss: 0.4150	LR: 0.000800
Training Epoch: 39 [26048/49812]	Loss: 0.6207	LR: 0.000800
Training Epoch: 39 [26112/49812]	Loss: 0.3842	LR: 0.000800
Training Epoch: 39 [26176/49812]	Loss: 0.3915	LR: 0.000800
Training Epoch: 39 [26240/49812]	Loss: 0.5024	LR: 0.000800
Training Epoch: 39 [26304/49812]	Loss: 0.3825	LR: 0.000800
Training Epoch: 39 [26368/49812]	Loss: 0.3280	LR: 0.000800
Training Epoch: 39 [26432/49812]	Loss: 0.3236	LR: 0.000800
Training Epoch: 39 [26496/49812]	Loss: 0.3659	LR: 0.000800
Training Epoch: 39 [26560/49812]	Loss: 0.2582	LR: 0.000800
Training Epoch: 39 [26624/49812]	Loss: 0.3100	LR: 0.000800
Training Epoch: 39 [26688/49812]	Loss: 0.3546	LR: 0.000800
Training Epoch: 39 [26752/49812]	Loss: 0.5671	LR: 0.000800
Training Epoch: 39 [26816/49812]	Loss: 0.3299	LR: 0.000800
Training Epoch: 39 [26880/49812]	Loss: 0.4968	LR: 0.000800
Training Epoch: 39 [26944/49812]	Loss: 0.4224	LR: 0.000800
Training Epoch: 39 [27008/49812]	Loss: 0.3397	LR: 0.000800
Training Epoch: 39 [27072/49812]	Loss: 0.4165	LR: 0.000800
Training Epoch: 39 [27136/49812]	Loss: 0.3741	LR: 0.000800
Training Epoch: 39 [27200/49812]	Loss: 0.3916	LR: 0.000800
Training Epoch: 39 [27264/49812]	Loss: 0.3637	LR: 0.000800
Training Epoch: 39 [27328/49812]	Loss: 0.4945	LR: 0.000800
Training Epoch: 39 [27392/49812]	Loss: 0.3138	LR: 0.000800
Training Epoch: 39 [27456/49812]	Loss: 0.3982	LR: 0.000800
Training Epoch: 39 [27520/49812]	Loss: 0.3351	LR: 0.000800
Training Epoch: 39 [27584/49812]	Loss: 0.3475	LR: 0.000800
Training Epoch: 39 [27648/49812]	Loss: 0.4323	LR: 0.000800
Training Epoch: 39 [27712/49812]	Loss: 0.4300	LR: 0.000800
Training Epoch: 39 [27776/49812]	Loss: 0.3233	LR: 0.000800
Training Epoch: 39 [27840/49812]	Loss: 0.3579	LR: 0.000800
Training Epoch: 39 [27904/49812]	Loss: 0.3678	LR: 0.000800
Training Epoch: 39 [27968/49812]	Loss: 0.3323	LR: 0.000800
Training Epoch: 39 [28032/49812]	Loss: 0.1873	LR: 0.000800
Training Epoch: 39 [28096/49812]	Loss: 0.5436	LR: 0.000800
Training Epoch: 39 [28160/49812]	Loss: 0.3935	LR: 0.000800
Training Epoch: 39 [28224/49812]	Loss: 0.2607	LR: 0.000800
Training Epoch: 39 [28288/49812]	Loss: 0.5628	LR: 0.000800
Training Epoch: 39 [28352/49812]	Loss: 0.2573	LR: 0.000800
Training Epoch: 39 [28416/49812]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [28480/49812]	Loss: 0.5114	LR: 0.000800
Training Epoch: 39 [28544/49812]	Loss: 0.3503	LR: 0.000800
Training Epoch: 39 [28608/49812]	Loss: 0.5278	LR: 0.000800
Training Epoch: 39 [28672/49812]	Loss: 0.4260	LR: 0.000800
Training Epoch: 39 [28736/49812]	Loss: 0.3629	LR: 0.000800
Training Epoch: 39 [28800/49812]	Loss: 0.3622	LR: 0.000800
Training Epoch: 39 [28864/49812]	Loss: 0.3642	LR: 0.000800
Training Epoch: 39 [28928/49812]	Loss: 0.2427	LR: 0.000800
Training Epoch: 39 [28992/49812]	Loss: 0.3917	LR: 0.000800
Training Epoch: 39 [29056/49812]	Loss: 0.3417	LR: 0.000800
Training Epoch: 39 [29120/49812]	Loss: 0.2657	LR: 0.000800
Training Epoch: 39 [29184/49812]	Loss: 0.3955	LR: 0.000800
Training Epoch: 39 [29248/49812]	Loss: 0.3762	LR: 0.000800
Training Epoch: 39 [29312/49812]	Loss: 0.4594	LR: 0.000800
Training Epoch: 39 [29376/49812]	Loss: 0.7762	LR: 0.000800
Training Epoch: 39 [29440/49812]	Loss: 0.5160	LR: 0.000800
Training Epoch: 39 [29504/49812]	Loss: 0.3556	LR: 0.000800
Training Epoch: 39 [29568/49812]	Loss: 0.3947	LR: 0.000800
Training Epoch: 39 [29632/49812]	Loss: 0.3820	LR: 0.000800
Training Epoch: 39 [29696/49812]	Loss: 0.2874	LR: 0.000800
Training Epoch: 39 [29760/49812]	Loss: 0.4364	LR: 0.000800
Training Epoch: 39 [29824/49812]	Loss: 0.3757	LR: 0.000800
Training Epoch: 39 [29888/49812]	Loss: 0.5000	LR: 0.000800
Training Epoch: 39 [29952/49812]	Loss: 0.4141	LR: 0.000800
Training Epoch: 39 [30016/49812]	Loss: 0.4861	LR: 0.000800
Training Epoch: 39 [30080/49812]	Loss: 0.6800	LR: 0.000800
Training Epoch: 39 [30144/49812]	Loss: 0.3804	LR: 0.000800
Training Epoch: 39 [30208/49812]	Loss: 0.4237	LR: 0.000800
Training Epoch: 39 [30272/49812]	Loss: 0.3247	LR: 0.000800
Training Epoch: 39 [30336/49812]	Loss: 0.5603	LR: 0.000800
Training Epoch: 39 [30400/49812]	Loss: 0.4479	LR: 0.000800
Training Epoch: 39 [30464/49812]	Loss: 0.6251	LR: 0.000800
Training Epoch: 39 [30528/49812]	Loss: 0.4750	LR: 0.000800
Training Epoch: 39 [30592/49812]	Loss: 0.3555	LR: 0.000800
Training Epoch: 39 [30656/49812]	Loss: 0.6814	LR: 0.000800
Training Epoch: 39 [30720/49812]	Loss: 0.3603	LR: 0.000800
Training Epoch: 39 [30784/49812]	Loss: 0.5247	LR: 0.000800
Training Epoch: 39 [30848/49812]	Loss: 0.2735	LR: 0.000800
Training Epoch: 39 [30912/49812]	Loss: 0.4089	LR: 0.000800
Training Epoch: 39 [30976/49812]	Loss: 0.3771	LR: 0.000800
Training Epoch: 39 [31040/49812]	Loss: 0.4100	LR: 0.000800
Training Epoch: 39 [31104/49812]	Loss: 0.3169	LR: 0.000800
Training Epoch: 39 [31168/49812]	Loss: 0.4637	LR: 0.000800
Training Epoch: 39 [31232/49812]	Loss: 0.4231	LR: 0.000800
Training Epoch: 39 [31296/49812]	Loss: 0.4185	LR: 0.000800
Training Epoch: 39 [31360/49812]	Loss: 0.5418	LR: 0.000800
Training Epoch: 39 [31424/49812]	Loss: 0.5215	LR: 0.000800
Training Epoch: 39 [31488/49812]	Loss: 0.3029	LR: 0.000800
Training Epoch: 39 [31552/49812]	Loss: 0.3463	LR: 0.000800
Training Epoch: 39 [31616/49812]	Loss: 0.3175	LR: 0.000800
Training Epoch: 39 [31680/49812]	Loss: 0.4950	LR: 0.000800
Training Epoch: 39 [31744/49812]	Loss: 0.4661	LR: 0.000800
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Training Epoch: 39 [48256/49812]	Loss: 0.2654	LR: 0.000800
Training Epoch: 39 [48320/49812]	Loss: 0.3092	LR: 0.000800
Training Epoch: 39 [48384/49812]	Loss: 0.3607	LR: 0.000800
Training Epoch: 39 [48448/49812]	Loss: 0.4703	LR: 0.000800
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Training Epoch: 39 [48576/49812]	Loss: 0.2619	LR: 0.000800
Training Epoch: 39 [48640/49812]	Loss: 0.3379	LR: 0.000800
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Training Epoch: 39 [48768/49812]	Loss: 0.3354	LR: 0.000800
Training Epoch: 39 [48832/49812]	Loss: 0.3026	LR: 0.000800
Training Epoch: 39 [48896/49812]	Loss: 0.3748	LR: 0.000800
Training Epoch: 39 [48960/49812]	Loss: 0.2789	LR: 0.000800
Training Epoch: 39 [49024/49812]	Loss: 0.5588	LR: 0.000800
Training Epoch: 39 [49088/49812]	Loss: 0.2792	LR: 0.000800
Training Epoch: 39 [49152/49812]	Loss: 0.3573	LR: 0.000800
Training Epoch: 39 [49216/49812]	Loss: 0.4070	LR: 0.000800
Training Epoch: 39 [49280/49812]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [49344/49812]	Loss: 0.4404	LR: 0.000800
Training Epoch: 39 [49408/49812]	Loss: 0.3509	LR: 0.000800
Training Epoch: 39 [49472/49812]	Loss: 0.4719	LR: 0.000800
Training Epoch: 39 [49536/49812]	Loss: 0.6629	LR: 0.000800
Training Epoch: 39 [49600/49812]	Loss: 0.3364	LR: 0.000800
Training Epoch: 39 [49664/49812]	Loss: 0.3583	LR: 0.000800
Training Epoch: 39 [49728/49812]	Loss: 0.4121	LR: 0.000800
Training Epoch: 39 [49792/49812]	Loss: 0.3318	LR: 0.000800
Training Epoch: 39 [49812/49812]	Loss: 0.6275	LR: 0.000800
Epoch 39 - Average Train Loss: 0.3859, Train Accuracy: 0.8796
Epoch 39 training time consumed: 261.10s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0103, Accuracy: 0.7995, Time consumed:16.71s
Training Epoch: 40 [64/49812]	Loss: 0.2162	LR: 0.000800
Training Epoch: 40 [128/49812]	Loss: 0.5667	LR: 0.000800
Training Epoch: 40 [192/49812]	Loss: 0.3071	LR: 0.000800
Training Epoch: 40 [256/49812]	Loss: 0.3446	LR: 0.000800
Training Epoch: 40 [320/49812]	Loss: 0.3795	LR: 0.000800
Training Epoch: 40 [384/49812]	Loss: 0.2084	LR: 0.000800
Training Epoch: 40 [448/49812]	Loss: 0.4253	LR: 0.000800
Training Epoch: 40 [512/49812]	Loss: 0.4197	LR: 0.000800
Training Epoch: 40 [576/49812]	Loss: 0.2445	LR: 0.000800
Training Epoch: 40 [640/49812]	Loss: 0.4217	LR: 0.000800
Training Epoch: 40 [704/49812]	Loss: 0.3115	LR: 0.000800
Training Epoch: 40 [768/49812]	Loss: 0.4669	LR: 0.000800
Training Epoch: 40 [832/49812]	Loss: 0.3485	LR: 0.000800
Training Epoch: 40 [896/49812]	Loss: 0.3842	LR: 0.000800
Training Epoch: 40 [960/49812]	Loss: 0.4447	LR: 0.000800
Training Epoch: 40 [1024/49812]	Loss: 0.5163	LR: 0.000800
Training Epoch: 40 [1088/49812]	Loss: 0.4060	LR: 0.000800
Training Epoch: 40 [1152/49812]	Loss: 0.3391	LR: 0.000800
Training Epoch: 40 [1216/49812]	Loss: 0.3491	LR: 0.000800
Training Epoch: 40 [1280/49812]	Loss: 0.3364	LR: 0.000800
Training Epoch: 40 [1344/49812]	Loss: 0.4917	LR: 0.000800
Training Epoch: 40 [1408/49812]	Loss: 0.3794	LR: 0.000800
Training Epoch: 40 [1472/49812]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [1536/49812]	Loss: 0.3119	LR: 0.000800
Training Epoch: 40 [1600/49812]	Loss: 0.4762	LR: 0.000800
Training Epoch: 40 [1664/49812]	Loss: 0.4342	LR: 0.000800
Training Epoch: 40 [1728/49812]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [1792/49812]	Loss: 0.4381	LR: 0.000800
Training Epoch: 40 [1856/49812]	Loss: 0.2185	LR: 0.000800
Training Epoch: 40 [1920/49812]	Loss: 0.4568	LR: 0.000800
Training Epoch: 40 [1984/49812]	Loss: 0.3518	LR: 0.000800
Training Epoch: 40 [2048/49812]	Loss: 0.2998	LR: 0.000800
Training Epoch: 40 [2112/49812]	Loss: 0.4472	LR: 0.000800
Training Epoch: 40 [2176/49812]	Loss: 0.4839	LR: 0.000800
Training Epoch: 40 [2240/49812]	Loss: 0.3590	LR: 0.000800
Training Epoch: 40 [2304/49812]	Loss: 0.5253	LR: 0.000800
Training Epoch: 40 [2368/49812]	Loss: 0.3666	LR: 0.000800
Training Epoch: 40 [2432/49812]	Loss: 0.3944	LR: 0.000800
Training Epoch: 40 [2496/49812]	Loss: 0.1928	LR: 0.000800
Training Epoch: 40 [2560/49812]	Loss: 0.4775	LR: 0.000800
Training Epoch: 40 [2624/49812]	Loss: 0.5125	LR: 0.000800
Training Epoch: 40 [2688/49812]	Loss: 0.3706	LR: 0.000800
Training Epoch: 40 [2752/49812]	Loss: 0.3655	LR: 0.000800
Training Epoch: 40 [2816/49812]	Loss: 0.3814	LR: 0.000800
Training Epoch: 40 [2880/49812]	Loss: 0.4756	LR: 0.000800
Training Epoch: 40 [2944/49812]	Loss: 0.1896	LR: 0.000800
Training Epoch: 40 [3008/49812]	Loss: 0.4381	LR: 0.000800
Training Epoch: 40 [3072/49812]	Loss: 0.3116	LR: 0.000800
Training Epoch: 40 [3136/49812]	Loss: 0.3543	LR: 0.000800
Training Epoch: 40 [3200/49812]	Loss: 0.2730	LR: 0.000800
Training Epoch: 40 [3264/49812]	Loss: 0.2722	LR: 0.000800
Training Epoch: 40 [3328/49812]	Loss: 0.3581	LR: 0.000800
Training Epoch: 40 [3392/49812]	Loss: 0.4847	LR: 0.000800
Training Epoch: 40 [3456/49812]	Loss: 0.4034	LR: 0.000800
Training Epoch: 40 [3520/49812]	Loss: 0.2468	LR: 0.000800
Training Epoch: 40 [3584/49812]	Loss: 0.3136	LR: 0.000800
Training Epoch: 40 [3648/49812]	Loss: 0.3720	LR: 0.000800
Training Epoch: 40 [3712/49812]	Loss: 0.3175	LR: 0.000800
Training Epoch: 40 [3776/49812]	Loss: 0.2911	LR: 0.000800
Training Epoch: 40 [3840/49812]	Loss: 0.3883	LR: 0.000800
Training Epoch: 40 [3904/49812]	Loss: 0.4341	LR: 0.000800
Training Epoch: 40 [3968/49812]	Loss: 0.3718	LR: 0.000800
Training Epoch: 40 [4032/49812]	Loss: 0.3212	LR: 0.000800
Training Epoch: 40 [4096/49812]	Loss: 0.6042	LR: 0.000800
Training Epoch: 40 [4160/49812]	Loss: 0.2378	LR: 0.000800
Training Epoch: 40 [4224/49812]	Loss: 0.3333	LR: 0.000800
Training Epoch: 40 [4288/49812]	Loss: 0.3699	LR: 0.000800
Training Epoch: 40 [4352/49812]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [4416/49812]	Loss: 0.4760	LR: 0.000800
Training Epoch: 40 [4480/49812]	Loss: 0.3188	LR: 0.000800
Training Epoch: 40 [4544/49812]	Loss: 0.3015	LR: 0.000800
Training Epoch: 40 [4608/49812]	Loss: 0.3722	LR: 0.000800
Training Epoch: 40 [4672/49812]	Loss: 0.3708	LR: 0.000800
Training Epoch: 40 [4736/49812]	Loss: 0.2855	LR: 0.000800
Training Epoch: 40 [4800/49812]	Loss: 0.4314	LR: 0.000800
Training Epoch: 40 [4864/49812]	Loss: 0.3646	LR: 0.000800
Training Epoch: 40 [4928/49812]	Loss: 0.3960	LR: 0.000800
Training Epoch: 40 [4992/49812]	Loss: 0.3090	LR: 0.000800
Training Epoch: 40 [5056/49812]	Loss: 0.3712	LR: 0.000800
Training Epoch: 40 [5120/49812]	Loss: 0.1812	LR: 0.000800
Training Epoch: 40 [5184/49812]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [5248/49812]	Loss: 0.4461	LR: 0.000800
Training Epoch: 40 [5312/49812]	Loss: 0.4710	LR: 0.000800
Training Epoch: 40 [5376/49812]	Loss: 0.3905	LR: 0.000800
Training Epoch: 40 [5440/49812]	Loss: 0.2390	LR: 0.000800
Training Epoch: 40 [5504/49812]	Loss: 0.3985	LR: 0.000800
Training Epoch: 40 [5568/49812]	Loss: 0.3159	LR: 0.000800
Training Epoch: 40 [5632/49812]	Loss: 0.3389	LR: 0.000800
Training Epoch: 40 [5696/49812]	Loss: 0.3243	LR: 0.000800
Training Epoch: 40 [5760/49812]	Loss: 0.4134	LR: 0.000800
Training Epoch: 40 [5824/49812]	Loss: 0.4847	LR: 0.000800
Training Epoch: 40 [5888/49812]	Loss: 0.4122	LR: 0.000800
Training Epoch: 40 [5952/49812]	Loss: 0.3124	LR: 0.000800
Training Epoch: 40 [6016/49812]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [6080/49812]	Loss: 0.3375	LR: 0.000800
Training Epoch: 40 [6144/49812]	Loss: 0.4676	LR: 0.000800
Training Epoch: 40 [6208/49812]	Loss: 0.3884	LR: 0.000800
Training Epoch: 40 [6272/49812]	Loss: 0.3665	LR: 0.000800
Training Epoch: 40 [6336/49812]	Loss: 0.3608	LR: 0.000800
Training Epoch: 40 [6400/49812]	Loss: 0.3595	LR: 0.000800
Training Epoch: 40 [6464/49812]	Loss: 0.3146	LR: 0.000800
Training Epoch: 40 [6528/49812]	Loss: 0.4544	LR: 0.000800
Training Epoch: 40 [6592/49812]	Loss: 0.4669	LR: 0.000800
Training Epoch: 40 [6656/49812]	Loss: 0.4780	LR: 0.000800
Training Epoch: 40 [6720/49812]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [6784/49812]	Loss: 0.4165	LR: 0.000800
Training Epoch: 40 [6848/49812]	Loss: 0.3673	LR: 0.000800
Training Epoch: 40 [6912/49812]	Loss: 0.4195	LR: 0.000800
Training Epoch: 40 [6976/49812]	Loss: 0.3392	LR: 0.000800
Training Epoch: 40 [7040/49812]	Loss: 0.3543	LR: 0.000800
Training Epoch: 40 [7104/49812]	Loss: 0.2900	LR: 0.000800
Training Epoch: 40 [7168/49812]	Loss: 0.4627	LR: 0.000800
Training Epoch: 40 [7232/49812]	Loss: 0.3658	LR: 0.000800
Training Epoch: 40 [7296/49812]	Loss: 0.3166	LR: 0.000800
Training Epoch: 40 [7360/49812]	Loss: 0.3386	LR: 0.000800
Training Epoch: 40 [7424/49812]	Loss: 0.4902	LR: 0.000800
Training Epoch: 40 [7488/49812]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [7552/49812]	Loss: 0.3342	LR: 0.000800
Training Epoch: 40 [7616/49812]	Loss: 0.3693	LR: 0.000800
Training Epoch: 40 [7680/49812]	Loss: 0.3372	LR: 0.000800
Training Epoch: 40 [7744/49812]	Loss: 0.1997	LR: 0.000800
Training Epoch: 40 [7808/49812]	Loss: 0.3543	LR: 0.000800
Training Epoch: 40 [7872/49812]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [7936/49812]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [8000/49812]	Loss: 0.4353	LR: 0.000800
Training Epoch: 40 [8064/49812]	Loss: 0.2703	LR: 0.000800
Training Epoch: 40 [8128/49812]	Loss: 0.3587	LR: 0.000800
Training Epoch: 40 [8192/49812]	Loss: 0.3744	LR: 0.000800
Training Epoch: 40 [8256/49812]	Loss: 0.3324	LR: 0.000800
Training Epoch: 40 [8320/49812]	Loss: 0.1923	LR: 0.000800
Training Epoch: 40 [8384/49812]	Loss: 0.3759	LR: 0.000800
Training Epoch: 40 [8448/49812]	Loss: 0.4911	LR: 0.000800
Training Epoch: 40 [8512/49812]	Loss: 0.3438	LR: 0.000800
Training Epoch: 40 [8576/49812]	Loss: 0.2965	LR: 0.000800
Training Epoch: 40 [8640/49812]	Loss: 0.3348	LR: 0.000800
Training Epoch: 40 [8704/49812]	Loss: 0.4050	LR: 0.000800
Training Epoch: 40 [8768/49812]	Loss: 0.3022	LR: 0.000800
Training Epoch: 40 [8832/49812]	Loss: 0.3568	LR: 0.000800
Training Epoch: 40 [8896/49812]	Loss: 0.3612	LR: 0.000800
Training Epoch: 40 [8960/49812]	Loss: 0.5511	LR: 0.000800
Training Epoch: 40 [9024/49812]	Loss: 0.3823	LR: 0.000800
Training Epoch: 40 [9088/49812]	Loss: 0.3692	LR: 0.000800
Training Epoch: 40 [9152/49812]	Loss: 0.5336	LR: 0.000800
Training Epoch: 40 [9216/49812]	Loss: 0.4388	LR: 0.000800
Training Epoch: 40 [9280/49812]	Loss: 0.6732	LR: 0.000800
Training Epoch: 40 [9344/49812]	Loss: 0.4494	LR: 0.000800
Training Epoch: 40 [9408/49812]	Loss: 0.3712	LR: 0.000800
Training Epoch: 40 [9472/49812]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [9536/49812]	Loss: 0.3547	LR: 0.000800
Training Epoch: 40 [9600/49812]	Loss: 0.3583	LR: 0.000800
Training Epoch: 40 [9664/49812]	Loss: 0.3916	LR: 0.000800
Training Epoch: 40 [9728/49812]	Loss: 0.4516	LR: 0.000800
Training Epoch: 40 [9792/49812]	Loss: 0.5562	LR: 0.000800
Training Epoch: 40 [9856/49812]	Loss: 0.5896	LR: 0.000800
Training Epoch: 40 [9920/49812]	Loss: 0.3244	LR: 0.000800
Training Epoch: 40 [9984/49812]	Loss: 0.4171	LR: 0.000800
Training Epoch: 40 [10048/49812]	Loss: 0.3935	LR: 0.000800
Training Epoch: 40 [10112/49812]	Loss: 0.3515	LR: 0.000800
Training Epoch: 40 [10176/49812]	Loss: 0.4942	LR: 0.000800
Training Epoch: 40 [10240/49812]	Loss: 0.3410	LR: 0.000800
Training Epoch: 40 [10304/49812]	Loss: 0.3567	LR: 0.000800
Training Epoch: 40 [10368/49812]	Loss: 0.2731	LR: 0.000800
Training Epoch: 40 [10432/49812]	Loss: 0.4408	LR: 0.000800
Training Epoch: 40 [10496/49812]	Loss: 0.3722	LR: 0.000800
Training Epoch: 40 [10560/49812]	Loss: 0.5200	LR: 0.000800
Training Epoch: 40 [10624/49812]	Loss: 0.2633	LR: 0.000800
Training Epoch: 40 [10688/49812]	Loss: 0.2675	LR: 0.000800
Training Epoch: 40 [10752/49812]	Loss: 0.4907	LR: 0.000800
Training Epoch: 40 [10816/49812]	Loss: 0.4683	LR: 0.000800
Training Epoch: 40 [10880/49812]	Loss: 0.3226	LR: 0.000800
Training Epoch: 40 [10944/49812]	Loss: 0.4546	LR: 0.000800
Training Epoch: 40 [11008/49812]	Loss: 0.4117	LR: 0.000800
Training Epoch: 40 [11072/49812]	Loss: 0.2241	LR: 0.000800
Training Epoch: 40 [11136/49812]	Loss: 0.4336	LR: 0.000800
Training Epoch: 40 [11200/49812]	Loss: 0.3603	LR: 0.000800
Training Epoch: 40 [11264/49812]	Loss: 0.3848	LR: 0.000800
Training Epoch: 40 [11328/49812]	Loss: 0.3407	LR: 0.000800
Training Epoch: 40 [11392/49812]	Loss: 0.2824	LR: 0.000800
Training Epoch: 40 [11456/49812]	Loss: 0.3620	LR: 0.000800
Training Epoch: 40 [11520/49812]	Loss: 0.5018	LR: 0.000800
Training Epoch: 40 [11584/49812]	Loss: 0.3046	LR: 0.000800
Training Epoch: 40 [11648/49812]	Loss: 0.4291	LR: 0.000800
Training Epoch: 40 [11712/49812]	Loss: 0.3215	LR: 0.000800
Training Epoch: 40 [11776/49812]	Loss: 0.3621	LR: 0.000800
Training Epoch: 40 [11840/49812]	Loss: 0.5423	LR: 0.000800
Training Epoch: 40 [11904/49812]	Loss: 0.2635	LR: 0.000800
Training Epoch: 40 [11968/49812]	Loss: 0.6112	LR: 0.000800
Training Epoch: 40 [12032/49812]	Loss: 0.3874	LR: 0.000800
Training Epoch: 40 [12096/49812]	Loss: 0.2282	LR: 0.000800
Training Epoch: 40 [12160/49812]	Loss: 0.3554	LR: 0.000800
Training Epoch: 40 [12224/49812]	Loss: 0.4376	LR: 0.000800
Training Epoch: 40 [12288/49812]	Loss: 0.3813	LR: 0.000800
Training Epoch: 40 [12352/49812]	Loss: 0.4611	LR: 0.000800
Training Epoch: 40 [12416/49812]	Loss: 0.3701	LR: 0.000800
Training Epoch: 40 [12480/49812]	Loss: 0.4024	LR: 0.000800
Training Epoch: 40 [12544/49812]	Loss: 0.3631	LR: 0.000800
Training Epoch: 40 [12608/49812]	Loss: 0.3173	LR: 0.000800
Training Epoch: 40 [12672/49812]	Loss: 0.4588	LR: 0.000800
Training Epoch: 40 [12736/49812]	Loss: 0.5282	LR: 0.000800
Training Epoch: 40 [12800/49812]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [12864/49812]	Loss: 0.3460	LR: 0.000800
Training Epoch: 40 [12928/49812]	Loss: 0.2540	LR: 0.000800
Training Epoch: 40 [12992/49812]	Loss: 0.3987	LR: 0.000800
Training Epoch: 40 [13056/49812]	Loss: 0.3117	LR: 0.000800
Training Epoch: 40 [13120/49812]	Loss: 0.5184	LR: 0.000800
Training Epoch: 40 [13184/49812]	Loss: 0.4014	LR: 0.000800
Training Epoch: 40 [13248/49812]	Loss: 0.4031	LR: 0.000800
Training Epoch: 40 [13312/49812]	Loss: 0.2356	LR: 0.000800
Training Epoch: 40 [13376/49812]	Loss: 0.6272	LR: 0.000800
Training Epoch: 40 [13440/49812]	Loss: 0.5048	LR: 0.000800
Training Epoch: 40 [13504/49812]	Loss: 0.4544	LR: 0.000800
Training Epoch: 40 [13568/49812]	Loss: 0.4570	LR: 0.000800
Training Epoch: 40 [13632/49812]	Loss: 0.3709	LR: 0.000800
Training Epoch: 40 [13696/49812]	Loss: 0.2705	LR: 0.000800
Training Epoch: 40 [13760/49812]	Loss: 0.4377	LR: 0.000800
Training Epoch: 40 [13824/49812]	Loss: 0.3103	LR: 0.000800
Training Epoch: 40 [13888/49812]	Loss: 0.2334	LR: 0.000800
Training Epoch: 40 [13952/49812]	Loss: 0.4949	LR: 0.000800
Training Epoch: 40 [14016/49812]	Loss: 0.3784	LR: 0.000800
Training Epoch: 40 [14080/49812]	Loss: 0.4026	LR: 0.000800
Training Epoch: 40 [14144/49812]	Loss: 0.5662	LR: 0.000800
Training Epoch: 40 [14208/49812]	Loss: 0.6045	LR: 0.000800
Training Epoch: 40 [14272/49812]	Loss: 0.3691	LR: 0.000800
Training Epoch: 40 [14336/49812]	Loss: 0.4233	LR: 0.000800
Training Epoch: 40 [14400/49812]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [14464/49812]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [14528/49812]	Loss: 0.1645	LR: 0.000800
Training Epoch: 40 [14592/49812]	Loss: 0.3714	LR: 0.000800
Training Epoch: 40 [14656/49812]	Loss: 0.3860	LR: 0.000800
Training Epoch: 40 [14720/49812]	Loss: 0.3887	LR: 0.000800
Training Epoch: 40 [14784/49812]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [14848/49812]	Loss: 0.4325	LR: 0.000800
Training Epoch: 40 [14912/49812]	Loss: 0.4923	LR: 0.000800
Training Epoch: 40 [14976/49812]	Loss: 0.3359	LR: 0.000800
Training Epoch: 40 [15040/49812]	Loss: 0.4715	LR: 0.000800
Training Epoch: 40 [15104/49812]	Loss: 0.3827	LR: 0.000800
Training Epoch: 40 [15168/49812]	Loss: 0.3321	LR: 0.000800
Training Epoch: 40 [15232/49812]	Loss: 0.3083	LR: 0.000800
Training Epoch: 40 [15296/49812]	Loss: 0.3782	LR: 0.000800
Training Epoch: 40 [15360/49812]	Loss: 0.4200	LR: 0.000800
Training Epoch: 40 [15424/49812]	Loss: 0.4969	LR: 0.000800
Training Epoch: 40 [15488/49812]	Loss: 0.3172	LR: 0.000800
Training Epoch: 40 [15552/49812]	Loss: 0.3973	LR: 0.000800
Training Epoch: 40 [15616/49812]	Loss: 0.2683	LR: 0.000800
Training Epoch: 40 [15680/49812]	Loss: 0.3483	LR: 0.000800
Training Epoch: 40 [15744/49812]	Loss: 0.3550	LR: 0.000800
Training Epoch: 40 [15808/49812]	Loss: 0.3972	LR: 0.000800
Training Epoch: 40 [15872/49812]	Loss: 0.3050	LR: 0.000800
Training Epoch: 40 [15936/49812]	Loss: 0.6172	LR: 0.000800
Training Epoch: 40 [16000/49812]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [16064/49812]	Loss: 0.3136	LR: 0.000800
Training Epoch: 40 [16128/49812]	Loss: 0.2314	LR: 0.000800
Training Epoch: 40 [16192/49812]	Loss: 0.4435	LR: 0.000800
Training Epoch: 40 [16256/49812]	Loss: 0.4012	LR: 0.000800
Training Epoch: 40 [16320/49812]	Loss: 0.5334	LR: 0.000800
Training Epoch: 40 [16384/49812]	Loss: 0.5045	LR: 0.000800
Training Epoch: 40 [16448/49812]	Loss: 0.4110	LR: 0.000800
Training Epoch: 40 [16512/49812]	Loss: 0.3132	LR: 0.000800
Training Epoch: 40 [16576/49812]	Loss: 0.3548	LR: 0.000800
Training Epoch: 40 [16640/49812]	Loss: 0.3485	LR: 0.000800
Training Epoch: 40 [16704/49812]	Loss: 0.4590	LR: 0.000800
Training Epoch: 40 [16768/49812]	Loss: 0.4540	LR: 0.000800
Training Epoch: 40 [16832/49812]	Loss: 0.4576	LR: 0.000800
Training Epoch: 40 [16896/49812]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [16960/49812]	Loss: 0.2650	LR: 0.000800
Training Epoch: 40 [17024/49812]	Loss: 0.5931	LR: 0.000800
Training Epoch: 40 [17088/49812]	Loss: 0.3470	LR: 0.000800
Training Epoch: 40 [17152/49812]	Loss: 0.2526	LR: 0.000800
Training Epoch: 40 [17216/49812]	Loss: 0.3501	LR: 0.000800
Training Epoch: 40 [17280/49812]	Loss: 0.4199	LR: 0.000800
Training Epoch: 40 [17344/49812]	Loss: 0.5324	LR: 0.000800
Training Epoch: 40 [17408/49812]	Loss: 0.3244	LR: 0.000800
Training Epoch: 40 [17472/49812]	Loss: 0.2744	LR: 0.000800
Training Epoch: 40 [17536/49812]	Loss: 0.2972	LR: 0.000800
Training Epoch: 40 [17600/49812]	Loss: 0.2352	LR: 0.000800
Training Epoch: 40 [17664/49812]	Loss: 0.3579	LR: 0.000800
Training Epoch: 40 [17728/49812]	Loss: 0.3704	LR: 0.000800
Training Epoch: 40 [17792/49812]	Loss: 0.5390	LR: 0.000800
Training Epoch: 40 [17856/49812]	Loss: 0.2486	LR: 0.000800
Training Epoch: 40 [17920/49812]	Loss: 0.3756	LR: 0.000800
Training Epoch: 40 [17984/49812]	Loss: 0.3929	LR: 0.000800
Training Epoch: 40 [18048/49812]	Loss: 0.4283	LR: 0.000800
Training Epoch: 40 [18112/49812]	Loss: 0.3522	LR: 0.000800
Training Epoch: 40 [18176/49812]	Loss: 0.2987	LR: 0.000800
Training Epoch: 40 [18240/49812]	Loss: 0.2456	LR: 0.000800
Training Epoch: 40 [18304/49812]	Loss: 0.4027	LR: 0.000800
Training Epoch: 40 [18368/49812]	Loss: 0.2802	LR: 0.000800
Training Epoch: 40 [18432/49812]	Loss: 0.2976	LR: 0.000800
Training Epoch: 40 [18496/49812]	Loss: 0.6050	LR: 0.000800
Training Epoch: 40 [18560/49812]	Loss: 0.5125	LR: 0.000800
Training Epoch: 40 [18624/49812]	Loss: 0.3977	LR: 0.000800
Training Epoch: 40 [18688/49812]	Loss: 0.3364	LR: 0.000800
Training Epoch: 40 [18752/49812]	Loss: 0.2601	LR: 0.000800
Training Epoch: 40 [18816/49812]	Loss: 0.2305	LR: 0.000800
Training Epoch: 40 [18880/49812]	Loss: 0.3321	LR: 0.000800
Training Epoch: 40 [18944/49812]	Loss: 0.2448	LR: 0.000800
Training Epoch: 40 [19008/49812]	Loss: 0.4107	LR: 0.000800
Training Epoch: 40 [19072/49812]	Loss: 0.3802	LR: 0.000800
Training Epoch: 40 [19136/49812]	Loss: 0.2624	LR: 0.000800
Training Epoch: 40 [19200/49812]	Loss: 0.3552	LR: 0.000800
Training Epoch: 40 [19264/49812]	Loss: 0.4121	LR: 0.000800
Training Epoch: 40 [19328/49812]	Loss: 0.4457	LR: 0.000800
Training Epoch: 40 [19392/49812]	Loss: 0.3171	LR: 0.000800
Training Epoch: 40 [19456/49812]	Loss: 0.2079	LR: 0.000800
Training Epoch: 40 [19520/49812]	Loss: 0.4111	LR: 0.000800
Training Epoch: 40 [19584/49812]	Loss: 0.4499	LR: 0.000800
Training Epoch: 40 [19648/49812]	Loss: 0.3026	LR: 0.000800
Training Epoch: 40 [19712/49812]	Loss: 0.3464	LR: 0.000800
Training Epoch: 40 [19776/49812]	Loss: 0.4929	LR: 0.000800
Training Epoch: 40 [19840/49812]	Loss: 0.3174	LR: 0.000800
Training Epoch: 40 [19904/49812]	Loss: 0.5066	LR: 0.000800
Training Epoch: 40 [19968/49812]	Loss: 0.5082	LR: 0.000800
Training Epoch: 40 [20032/49812]	Loss: 0.3013	LR: 0.000800
Training Epoch: 40 [20096/49812]	Loss: 0.2184	LR: 0.000800
Training Epoch: 40 [20160/49812]	Loss: 0.4294	LR: 0.000800
Training Epoch: 40 [20224/49812]	Loss: 0.2650	LR: 0.000800
Training Epoch: 40 [20288/49812]	Loss: 0.5183	LR: 0.000800
Training Epoch: 40 [20352/49812]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [20416/49812]	Loss: 0.4862	LR: 0.000800
Training Epoch: 40 [20480/49812]	Loss: 0.3476	LR: 0.000800
Training Epoch: 40 [20544/49812]	Loss: 0.5312	LR: 0.000800
Training Epoch: 40 [20608/49812]	Loss: 0.1969	LR: 0.000800
Training Epoch: 40 [20672/49812]	Loss: 0.3401	LR: 0.000800
Training Epoch: 40 [20736/49812]	Loss: 0.3735	LR: 0.000800
Training Epoch: 40 [20800/49812]	Loss: 0.4403	LR: 0.000800
Training Epoch: 40 [20864/49812]	Loss: 0.4469	LR: 0.000800
Training Epoch: 40 [20928/49812]	Loss: 0.2659	LR: 0.000800
Training Epoch: 40 [20992/49812]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [21056/49812]	Loss: 0.3501	LR: 0.000800
Training Epoch: 40 [21120/49812]	Loss: 0.2691	LR: 0.000800
Training Epoch: 40 [21184/49812]	Loss: 0.5025	LR: 0.000800
Training Epoch: 40 [21248/49812]	Loss: 0.2467	LR: 0.000800
Training Epoch: 40 [21312/49812]	Loss: 0.5847	LR: 0.000800
Training Epoch: 40 [21376/49812]	Loss: 0.4196	LR: 0.000800
Training Epoch: 40 [21440/49812]	Loss: 0.4459	LR: 0.000800
Training Epoch: 40 [21504/49812]	Loss: 0.3783	LR: 0.000800
Training Epoch: 40 [21568/49812]	Loss: 0.2901	LR: 0.000800
Training Epoch: 40 [21632/49812]	Loss: 0.4478	LR: 0.000800
Training Epoch: 40 [21696/49812]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [21760/49812]	Loss: 0.4129	LR: 0.000800
Training Epoch: 40 [21824/49812]	Loss: 0.3246	LR: 0.000800
Training Epoch: 40 [21888/49812]	Loss: 0.2867	LR: 0.000800
Training Epoch: 40 [21952/49812]	Loss: 0.3902	LR: 0.000800
Training Epoch: 40 [22016/49812]	Loss: 0.3223	LR: 0.000800
Training Epoch: 40 [22080/49812]	Loss: 0.3516	LR: 0.000800
Training Epoch: 40 [22144/49812]	Loss: 0.4495	LR: 0.000800
Training Epoch: 40 [22208/49812]	Loss: 0.4897	LR: 0.000800
Training Epoch: 40 [22272/49812]	Loss: 0.4194	LR: 0.000800
Training Epoch: 40 [22336/49812]	Loss: 0.4501	LR: 0.000800
Training Epoch: 40 [22400/49812]	Loss: 0.2333	LR: 0.000800
Training Epoch: 40 [22464/49812]	Loss: 0.3593	LR: 0.000800
Training Epoch: 40 [22528/49812]	Loss: 0.4440	LR: 0.000800
Training Epoch: 40 [22592/49812]	Loss: 0.2910	LR: 0.000800
Training Epoch: 40 [22656/49812]	Loss: 0.3194	LR: 0.000800
Training Epoch: 40 [22720/49812]	Loss: 0.3661	LR: 0.000800
Training Epoch: 40 [22784/49812]	Loss: 0.4282	LR: 0.000800
Training Epoch: 40 [22848/49812]	Loss: 0.4743	LR: 0.000800
Training Epoch: 40 [22912/49812]	Loss: 0.4279	LR: 0.000800
Training Epoch: 40 [22976/49812]	Loss: 0.2980	LR: 0.000800
Training Epoch: 40 [23040/49812]	Loss: 0.3926	LR: 0.000800
Training Epoch: 40 [23104/49812]	Loss: 0.3317	LR: 0.000800
Training Epoch: 40 [23168/49812]	Loss: 0.5791	LR: 0.000800
Training Epoch: 40 [23232/49812]	Loss: 0.4020	LR: 0.000800
Training Epoch: 40 [23296/49812]	Loss: 0.5354	LR: 0.000800
Training Epoch: 40 [23360/49812]	Loss: 0.4157	LR: 0.000800
Training Epoch: 40 [23424/49812]	Loss: 0.3497	LR: 0.000800
Training Epoch: 40 [23488/49812]	Loss: 0.4035	LR: 0.000800
Training Epoch: 40 [23552/49812]	Loss: 0.4236	LR: 0.000800
Training Epoch: 40 [23616/49812]	Loss: 0.4037	LR: 0.000800
Training Epoch: 40 [23680/49812]	Loss: 0.3183	LR: 0.000800
Training Epoch: 40 [23744/49812]	Loss: 0.6355	LR: 0.000800
Training Epoch: 40 [23808/49812]	Loss: 0.5151	LR: 0.000800
Training Epoch: 40 [23872/49812]	Loss: 0.4668	LR: 0.000800
Training Epoch: 40 [23936/49812]	Loss: 0.3502	LR: 0.000800
Training Epoch: 40 [24000/49812]	Loss: 0.4244	LR: 0.000800
Training Epoch: 40 [24064/49812]	Loss: 0.3461	LR: 0.000800
Training Epoch: 40 [24128/49812]	Loss: 0.3072	LR: 0.000800
Training Epoch: 40 [24192/49812]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [24256/49812]	Loss: 0.4011	LR: 0.000800
Training Epoch: 40 [24320/49812]	Loss: 0.4620	LR: 0.000800
Training Epoch: 40 [24384/49812]	Loss: 0.2618	LR: 0.000800
Training Epoch: 40 [24448/49812]	Loss: 0.4160	LR: 0.000800
Training Epoch: 40 [24512/49812]	Loss: 0.4452	LR: 0.000800
Training Epoch: 40 [24576/49812]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [24640/49812]	Loss: 0.3906	LR: 0.000800
Training Epoch: 40 [24704/49812]	Loss: 0.3867	LR: 0.000800
Training Epoch: 40 [24768/49812]	Loss: 0.4343	LR: 0.000800
Training Epoch: 40 [24832/49812]	Loss: 0.2292	LR: 0.000800
Training Epoch: 40 [24896/49812]	Loss: 0.3234	LR: 0.000800
Training Epoch: 40 [24960/49812]	Loss: 0.3195	LR: 0.000800
Training Epoch: 40 [25024/49812]	Loss: 0.3435	LR: 0.000800
Training Epoch: 40 [25088/49812]	Loss: 0.3064	LR: 0.000800
Training Epoch: 40 [25152/49812]	Loss: 0.4596	LR: 0.000800
Training Epoch: 40 [25216/49812]	Loss: 0.4928	LR: 0.000800
Training Epoch: 40 [25280/49812]	Loss: 0.5156	LR: 0.000800
Training Epoch: 40 [25344/49812]	Loss: 0.4457	LR: 0.000800
Training Epoch: 40 [25408/49812]	Loss: 0.3518	LR: 0.000800
Training Epoch: 40 [25472/49812]	Loss: 0.3566	LR: 0.000800
Training Epoch: 40 [25536/49812]	Loss: 0.3172	LR: 0.000800
Training Epoch: 40 [25600/49812]	Loss: 0.4334	LR: 0.000800
Training Epoch: 40 [25664/49812]	Loss: 0.3210	LR: 0.000800
Training Epoch: 40 [25728/49812]	Loss: 0.5446	LR: 0.000800
Training Epoch: 40 [25792/49812]	Loss: 0.3927	LR: 0.000800
Training Epoch: 40 [25856/49812]	Loss: 0.4525	LR: 0.000800
Training Epoch: 40 [25920/49812]	Loss: 0.6432	LR: 0.000800
Training Epoch: 40 [25984/49812]	Loss: 0.6062	LR: 0.000800
Training Epoch: 40 [26048/49812]	Loss: 0.3349	LR: 0.000800
Training Epoch: 40 [26112/49812]	Loss: 0.3943	LR: 0.000800
Training Epoch: 40 [26176/49812]	Loss: 0.3327	LR: 0.000800
Training Epoch: 40 [26240/49812]	Loss: 0.3855	LR: 0.000800
Training Epoch: 40 [26304/49812]	Loss: 0.5414	LR: 0.000800
Training Epoch: 40 [26368/49812]	Loss: 0.5042	LR: 0.000800
Training Epoch: 40 [26432/49812]	Loss: 0.3252	LR: 0.000800
Training Epoch: 40 [26496/49812]	Loss: 0.3716	LR: 0.000800
Training Epoch: 40 [26560/49812]	Loss: 0.2416	LR: 0.000800
Training Epoch: 40 [26624/49812]	Loss: 0.5098	LR: 0.000800
Training Epoch: 40 [26688/49812]	Loss: 0.3146	LR: 0.000800
Training Epoch: 40 [26752/49812]	Loss: 0.4775	LR: 0.000800
Training Epoch: 40 [26816/49812]	Loss: 0.3615	LR: 0.000800
Training Epoch: 40 [26880/49812]	Loss: 0.3335	LR: 0.000800
Training Epoch: 40 [26944/49812]	Loss: 0.3120	LR: 0.000800
Training Epoch: 40 [27008/49812]	Loss: 0.2755	LR: 0.000800
Training Epoch: 40 [27072/49812]	Loss: 0.3815	LR: 0.000800
Training Epoch: 40 [27136/49812]	Loss: 0.4739	LR: 0.000800
Training Epoch: 40 [27200/49812]	Loss: 0.4172	LR: 0.000800
Training Epoch: 40 [27264/49812]	Loss: 0.4110	LR: 0.000800
Training Epoch: 40 [27328/49812]	Loss: 0.3812	LR: 0.000800
Training Epoch: 40 [27392/49812]	Loss: 0.3545	LR: 0.000800
Training Epoch: 40 [27456/49812]	Loss: 0.4231	LR: 0.000800
Training Epoch: 40 [27520/49812]	Loss: 0.5494	LR: 0.000800
Training Epoch: 40 [27584/49812]	Loss: 0.3861	LR: 0.000800
Training Epoch: 40 [27648/49812]	Loss: 0.3434	LR: 0.000800
Training Epoch: 40 [27712/49812]	Loss: 0.2488	LR: 0.000800
Training Epoch: 40 [27776/49812]	Loss: 0.3580	LR: 0.000800
Training Epoch: 40 [27840/49812]	Loss: 0.3747	LR: 0.000800
Training Epoch: 40 [27904/49812]	Loss: 0.6512	LR: 0.000800
Training Epoch: 40 [27968/49812]	Loss: 0.3291	LR: 0.000800
Training Epoch: 40 [28032/49812]	Loss: 0.4672	LR: 0.000800
Training Epoch: 40 [28096/49812]	Loss: 0.2095	LR: 0.000800
Training Epoch: 40 [28160/49812]	Loss: 0.2469	LR: 0.000800
Training Epoch: 40 [28224/49812]	Loss: 0.4183	LR: 0.000800
Training Epoch: 40 [28288/49812]	Loss: 0.4259	LR: 0.000800
Training Epoch: 40 [28352/49812]	Loss: 0.4138	LR: 0.000800
Training Epoch: 40 [28416/49812]	Loss: 0.3210	LR: 0.000800
Training Epoch: 40 [28480/49812]	Loss: 0.2772	LR: 0.000800
Training Epoch: 40 [28544/49812]	Loss: 0.3037	LR: 0.000800
Training Epoch: 40 [28608/49812]	Loss: 0.2559	LR: 0.000800
Training Epoch: 40 [28672/49812]	Loss: 0.4549	LR: 0.000800
Training Epoch: 40 [28736/49812]	Loss: 0.2758	LR: 0.000800
Training Epoch: 40 [28800/49812]	Loss: 0.4619	LR: 0.000800
Training Epoch: 40 [28864/49812]	Loss: 0.3514	LR: 0.000800
Training Epoch: 40 [28928/49812]	Loss: 0.4418	LR: 0.000800
Training Epoch: 40 [28992/49812]	Loss: 0.3828	LR: 0.000800
Training Epoch: 40 [29056/49812]	Loss: 0.3351	LR: 0.000800
Training Epoch: 40 [29120/49812]	Loss: 0.3417	LR: 0.000800
Training Epoch: 40 [29184/49812]	Loss: 0.3556	LR: 0.000800
Training Epoch: 40 [29248/49812]	Loss: 0.4274	LR: 0.000800
Training Epoch: 40 [29312/49812]	Loss: 0.5052	LR: 0.000800
Training Epoch: 40 [29376/49812]	Loss: 0.3160	LR: 0.000800
Training Epoch: 40 [29440/49812]	Loss: 0.3928	LR: 0.000800
Training Epoch: 40 [29504/49812]	Loss: 0.3813	LR: 0.000800
Training Epoch: 40 [29568/49812]	Loss: 0.2978	LR: 0.000800
Training Epoch: 40 [29632/49812]	Loss: 0.3006	LR: 0.000800
Training Epoch: 40 [29696/49812]	Loss: 0.4848	LR: 0.000800
Training Epoch: 40 [29760/49812]	Loss: 0.4163	LR: 0.000800
Training Epoch: 40 [29824/49812]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [29888/49812]	Loss: 0.3498	LR: 0.000800
Training Epoch: 40 [29952/49812]	Loss: 0.3773	LR: 0.000800
Training Epoch: 40 [30016/49812]	Loss: 0.4935	LR: 0.000800
Training Epoch: 40 [30080/49812]	Loss: 0.3903	LR: 0.000800
Training Epoch: 40 [30144/49812]	Loss: 0.5081	LR: 0.000800
Training Epoch: 40 [30208/49812]	Loss: 0.3084	LR: 0.000800
Training Epoch: 40 [30272/49812]	Loss: 0.2907	LR: 0.000800
Training Epoch: 40 [30336/49812]	Loss: 0.6217	LR: 0.000800
Training Epoch: 40 [30400/49812]	Loss: 0.3141	LR: 0.000800
Training Epoch: 40 [30464/49812]	Loss: 0.4488	LR: 0.000800
Training Epoch: 40 [30528/49812]	Loss: 0.3028	LR: 0.000800
Training Epoch: 40 [30592/49812]	Loss: 0.3472	LR: 0.000800
Training Epoch: 40 [30656/49812]	Loss: 0.2012	LR: 0.000800
Training Epoch: 40 [30720/49812]	Loss: 0.3965	LR: 0.000800
Training Epoch: 40 [30784/49812]	Loss: 0.5180	LR: 0.000800
Training Epoch: 40 [30848/49812]	Loss: 0.3606	LR: 0.000800
Training Epoch: 40 [30912/49812]	Loss: 0.4677	LR: 0.000800
Training Epoch: 40 [30976/49812]	Loss: 0.5060	LR: 0.000800
Training Epoch: 40 [31040/49812]	Loss: 0.3856	LR: 0.000800
Training Epoch: 40 [31104/49812]	Loss: 0.3812	LR: 0.000800
Training Epoch: 40 [31168/49812]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [31232/49812]	Loss: 0.4532	LR: 0.000800
Training Epoch: 40 [31296/49812]	Loss: 0.4133	LR: 0.000800
Training Epoch: 40 [31360/49812]	Loss: 0.3512	LR: 0.000800
Training Epoch: 40 [31424/49812]	Loss: 0.4352	LR: 0.000800
Training Epoch: 40 [31488/49812]	Loss: 0.2576	LR: 0.000800
Training Epoch: 40 [31552/49812]	Loss: 0.2346	LR: 0.000800
Training Epoch: 40 [31616/49812]	Loss: 0.2925	LR: 0.000800
Training Epoch: 40 [31680/49812]	Loss: 0.4322	LR: 0.000800
Training Epoch: 40 [31744/49812]	Loss: 0.3155	LR: 0.000800
Training Epoch: 40 [31808/49812]	Loss: 0.1773	LR: 0.000800
Training Epoch: 40 [31872/49812]	Loss: 0.3845	LR: 0.000800
Training Epoch: 40 [31936/49812]	Loss: 0.2046	LR: 0.000800
Training Epoch: 40 [32000/49812]	Loss: 0.2934	LR: 0.000800
Training Epoch: 40 [32064/49812]	Loss: 0.3128	LR: 0.000800
Training Epoch: 40 [32128/49812]	Loss: 0.2926	LR: 0.000800
Training Epoch: 40 [32192/49812]	Loss: 0.3633	LR: 0.000800
Training Epoch: 40 [32256/49812]	Loss: 0.4744	LR: 0.000800
Training Epoch: 40 [32320/49812]	Loss: 0.3239	LR: 0.000800
Training Epoch: 40 [32384/49812]	Loss: 0.2547	LR: 0.000800
Training Epoch: 40 [32448/49812]	Loss: 0.2301	LR: 0.000800
Training Epoch: 40 [32512/49812]	Loss: 0.5906	LR: 0.000800
Training Epoch: 40 [32576/49812]	Loss: 0.5076	LR: 0.000800
Training Epoch: 40 [32640/49812]	Loss: 0.1259	LR: 0.000800
Training Epoch: 40 [32704/49812]	Loss: 0.4613	LR: 0.000800
Training Epoch: 40 [32768/49812]	Loss: 0.4515	LR: 0.000800
Training Epoch: 40 [32832/49812]	Loss: 0.2589	LR: 0.000800
Training Epoch: 40 [32896/49812]	Loss: 0.5215	LR: 0.000800
Training Epoch: 40 [32960/49812]	Loss: 0.4836	LR: 0.000800
Training Epoch: 40 [33024/49812]	Loss: 0.3766	LR: 0.000800
Training Epoch: 40 [33088/49812]	Loss: 0.4208	LR: 0.000800
Training Epoch: 40 [33152/49812]	Loss: 0.3449	LR: 0.000800
Training Epoch: 40 [33216/49812]	Loss: 0.3596	LR: 0.000800
Training Epoch: 40 [33280/49812]	Loss: 0.2068	LR: 0.000800
Training Epoch: 40 [33344/49812]	Loss: 0.2970	LR: 0.000800
Training Epoch: 40 [33408/49812]	Loss: 0.2407	LR: 0.000800
Training Epoch: 40 [33472/49812]	Loss: 0.3192	LR: 0.000800
Training Epoch: 40 [33536/49812]	Loss: 0.2730	LR: 0.000800
Training Epoch: 40 [33600/49812]	Loss: 0.4655	LR: 0.000800
Training Epoch: 40 [33664/49812]	Loss: 0.4151	LR: 0.000800
Training Epoch: 40 [33728/49812]	Loss: 0.4062	LR: 0.000800
Training Epoch: 40 [33792/49812]	Loss: 0.4015	LR: 0.000800
Training Epoch: 40 [33856/49812]	Loss: 0.5211	LR: 0.000800
Training Epoch: 40 [33920/49812]	Loss: 0.3821	LR: 0.000800
Training Epoch: 40 [33984/49812]	Loss: 0.4735	LR: 0.000800
Training Epoch: 40 [34048/49812]	Loss: 0.4179	LR: 0.000800
Training Epoch: 40 [34112/49812]	Loss: 0.4390	LR: 0.000800
Training Epoch: 40 [34176/49812]	Loss: 0.3674	LR: 0.000800
Training Epoch: 40 [34240/49812]	Loss: 0.3885	LR: 0.000800
Training Epoch: 40 [34304/49812]	Loss: 0.3752	LR: 0.000800
Training Epoch: 40 [34368/49812]	Loss: 0.3512	LR: 0.000800
Training Epoch: 40 [34432/49812]	Loss: 0.2759	LR: 0.000800
Training Epoch: 40 [34496/49812]	Loss: 0.2858	LR: 0.000800
Training Epoch: 40 [34560/49812]	Loss: 0.5268	LR: 0.000800
Training Epoch: 40 [34624/49812]	Loss: 0.3375	LR: 0.000800
Training Epoch: 40 [34688/49812]	Loss: 0.3343	LR: 0.000800
Training Epoch: 40 [34752/49812]	Loss: 0.3281	LR: 0.000800
Training Epoch: 40 [34816/49812]	Loss: 0.2492	LR: 0.000800
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Training Epoch: 40 [34944/49812]	Loss: 0.3813	LR: 0.000800
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Training Epoch: 40 [35136/49812]	Loss: 0.5224	LR: 0.000800
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Training Epoch: 40 [35264/49812]	Loss: 0.3816	LR: 0.000800
Training Epoch: 40 [35328/49812]	Loss: 0.3669	LR: 0.000800
Training Epoch: 40 [35392/49812]	Loss: 0.4898	LR: 0.000800
Training Epoch: 40 [35456/49812]	Loss: 0.5094	LR: 0.000800
Training Epoch: 40 [35520/49812]	Loss: 0.3820	LR: 0.000800
Training Epoch: 40 [35584/49812]	Loss: 0.5205	LR: 0.000800
Training Epoch: 40 [35648/49812]	Loss: 0.4153	LR: 0.000800
Training Epoch: 40 [35712/49812]	Loss: 0.3113	LR: 0.000800
Training Epoch: 40 [35776/49812]	Loss: 0.4424	LR: 0.000800
Training Epoch: 40 [35840/49812]	Loss: 0.3506	LR: 0.000800
Training Epoch: 40 [35904/49812]	Loss: 0.4430	LR: 0.000800
Training Epoch: 40 [35968/49812]	Loss: 0.2775	LR: 0.000800
Training Epoch: 40 [36032/49812]	Loss: 0.4563	LR: 0.000800
Training Epoch: 40 [36096/49812]	Loss: 0.3885	LR: 0.000800
Training Epoch: 40 [36160/49812]	Loss: 0.4500	LR: 0.000800
Training Epoch: 40 [36224/49812]	Loss: 0.2761	LR: 0.000800
Training Epoch: 40 [36288/49812]	Loss: 0.3551	LR: 0.000800
Training Epoch: 40 [36352/49812]	Loss: 0.2605	LR: 0.000800
Training Epoch: 40 [36416/49812]	Loss: 0.4312	LR: 0.000800
Training Epoch: 40 [36480/49812]	Loss: 0.3136	LR: 0.000800
Training Epoch: 40 [36544/49812]	Loss: 0.4869	LR: 0.000800
Training Epoch: 40 [36608/49812]	Loss: 0.4182	LR: 0.000800
Training Epoch: 40 [36672/49812]	Loss: 0.4019	LR: 0.000800
Training Epoch: 40 [36736/49812]	Loss: 0.3224	LR: 0.000800
Training Epoch: 40 [36800/49812]	Loss: 0.3805	LR: 0.000800
Training Epoch: 40 [36864/49812]	Loss: 0.2744	LR: 0.000800
Training Epoch: 40 [36928/49812]	Loss: 0.3678	LR: 0.000800
Training Epoch: 40 [36992/49812]	Loss: 0.2908	LR: 0.000800
Training Epoch: 40 [37056/49812]	Loss: 0.5485	LR: 0.000800
Training Epoch: 40 [37120/49812]	Loss: 0.3788	LR: 0.000800
Training Epoch: 40 [37184/49812]	Loss: 0.5338	LR: 0.000800
Training Epoch: 40 [37248/49812]	Loss: 0.3867	LR: 0.000800
Training Epoch: 40 [37312/49812]	Loss: 0.2894	LR: 0.000800
Training Epoch: 40 [37376/49812]	Loss: 0.5353	LR: 0.000800
Training Epoch: 40 [37440/49812]	Loss: 0.3920	LR: 0.000800
Training Epoch: 40 [37504/49812]	Loss: 0.3731	LR: 0.000800
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Training Epoch: 40 [37888/49812]	Loss: 0.3339	LR: 0.000800
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Training Epoch: 40 [43840/49812]	Loss: 0.3867	LR: 0.000800
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Training Epoch: 40 [44032/49812]	Loss: 0.3221	LR: 0.000800
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Training Epoch: 40 [44416/49812]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [44480/49812]	Loss: 0.4017	LR: 0.000800
Training Epoch: 40 [44544/49812]	Loss: 0.2713	LR: 0.000800
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Training Epoch: 40 [45632/49812]	Loss: 0.3088	LR: 0.000800
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Training Epoch: 40 [45888/49812]	Loss: 0.3669	LR: 0.000800
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Training Epoch: 40 [46016/49812]	Loss: 0.2977	LR: 0.000800
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Training Epoch: 40 [46144/49812]	Loss: 0.3534	LR: 0.000800
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Training Epoch: 40 [46720/49812]	Loss: 0.4191	LR: 0.000800
Training Epoch: 40 [46784/49812]	Loss: 0.2591	LR: 0.000800
Training Epoch: 40 [46848/49812]	Loss: 0.3710	LR: 0.000800
Training Epoch: 40 [46912/49812]	Loss: 0.4788	LR: 0.000800
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Training Epoch: 40 [47040/49812]	Loss: 0.3241	LR: 0.000800
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Training Epoch: 40 [47232/49812]	Loss: 0.3479	LR: 0.000800
Training Epoch: 40 [47296/49812]	Loss: 0.4423	LR: 0.000800
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Training Epoch: 40 [47424/49812]	Loss: 0.3477	LR: 0.000800
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Training Epoch: 40 [47808/49812]	Loss: 0.2230	LR: 0.000800
Training Epoch: 40 [47872/49812]	Loss: 0.3390	LR: 0.000800
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Training Epoch: 40 [48320/49812]	Loss: 0.3325	LR: 0.000800
Training Epoch: 40 [48384/49812]	Loss: 0.1773	LR: 0.000800
Training Epoch: 40 [48448/49812]	Loss: 0.3013	LR: 0.000800
Training Epoch: 40 [48512/49812]	Loss: 0.2935	LR: 0.000800
Training Epoch: 40 [48576/49812]	Loss: 0.2456	LR: 0.000800
Training Epoch: 40 [48640/49812]	Loss: 0.4072	LR: 0.000800
Training Epoch: 40 [48704/49812]	Loss: 0.2992	LR: 0.000800
Training Epoch: 40 [48768/49812]	Loss: 0.5029	LR: 0.000800
Training Epoch: 40 [48832/49812]	Loss: 0.4610	LR: 0.000800
Training Epoch: 40 [48896/49812]	Loss: 0.3288	LR: 0.000800
Training Epoch: 40 [48960/49812]	Loss: 0.4639	LR: 0.000800
Training Epoch: 40 [49024/49812]	Loss: 0.2095	LR: 0.000800
Training Epoch: 40 [49088/49812]	Loss: 0.2369	LR: 0.000800
Training Epoch: 40 [49152/49812]	Loss: 0.4126	LR: 0.000800
Training Epoch: 40 [49216/49812]	Loss: 0.3396	LR: 0.000800
Training Epoch: 40 [49280/49812]	Loss: 0.2628	LR: 0.000800
Training Epoch: 40 [49344/49812]	Loss: 0.2724	LR: 0.000800
Training Epoch: 40 [49408/49812]	Loss: 0.4072	LR: 0.000800
Training Epoch: 40 [49472/49812]	Loss: 0.3946	LR: 0.000800
Training Epoch: 40 [49536/49812]	Loss: 0.2246	LR: 0.000800
Training Epoch: 40 [49600/49812]	Loss: 0.4481	LR: 0.000800
Training Epoch: 40 [49664/49812]	Loss: 0.3997	LR: 0.000800
Training Epoch: 40 [49728/49812]	Loss: 0.3486	LR: 0.000800
Training Epoch: 40 [49792/49812]	Loss: 0.3416	LR: 0.000800
Training Epoch: 40 [49812/49812]	Loss: 0.6745	LR: 0.000800
Epoch 40 - Average Train Loss: 0.3799, Train Accuracy: 0.8815
Epoch 40 training time consumed: 250.97s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0103, Accuracy: 0.8005, Time consumed:16.81s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  49812
Forget Train Dl:  188
Retain Valid Dl:  49812
Forget Valid Dl:  188
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 188 samples
Set1 Distribution: 188 samples
Set2 Distribution: 188 samples
Set1 Distribution: 188 samples
Set2 Distribution: 188 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 79.9661636352539
Retain Accuracy: 89.92698669433594
Zero-Retain Forget (ZRF): 0.8971982598304749
Membership Inference Attack (MIA): 0.30319148936170215
Forget vs Retain Membership Inference Attack (MIA): 0.5789473684210527
Forget vs Test Membership Inference Attack (MIA): 0.5131578947368421
Test vs Retain Membership Inference Attack (MIA): 0.51
Train vs Test Membership Inference Attack (MIA): 0.543
Forget Set Accuracy (Df): 82.6388931274414
Method Execution Time: 12314.56 seconds
