-
Notifications
You must be signed in to change notification settings - Fork 70
/
table6_pidinet_running.log
1138 lines (1123 loc) · 102 KB
/
table6_pidinet_running.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
conv weights: lr 0.005000, wd 0.000100 bn weights: lr 0.005000, wd 0.000010 relu weights: lr 0.005000, wd 0.000000
=> loading checkpoint from ''
no checkpoint loaded
Epoch: [00/14][001/795] Time 1.971 Data 1.847 Loss 458053.0215 (avg:19085.5426) lr 0.005000
Epoch: [00/14][011/795] Time 1.861 Data 1.802 Loss 524815.2698 (avg:22482.5164) lr 0.005000
Epoch: [00/14][021/795] Time 1.720 Data 1.618 Loss 415383.6955 (avg:21425.2183) lr 0.005000
Epoch: [00/14][031/795] Time 1.885 Data 1.806 Loss 520622.5519 (avg:20905.0419) lr 0.005000
Epoch: [00/14][041/795] Time 1.796 Data 1.676 Loss 433338.8045 (avg:20449.1725) lr 0.005000
Epoch: [00/14][051/795] Time 1.655 Data 1.573 Loss 439851.6836 (avg:19866.4541) lr 0.005000
Epoch: [00/14][061/795] Time 1.849 Data 1.787 Loss 524600.6992 (avg:19797.1322) lr 0.005000
Epoch: [00/14][071/795] Time 1.799 Data 1.680 Loss 481830.9234 (avg:19457.6059) lr 0.005000
Epoch: [00/14][081/795] Time 1.590 Data 1.505 Loss 366961.7126 (avg:19242.6929) lr 0.005000
Epoch: [00/14][091/795] Time 1.821 Data 1.738 Loss 509272.3531 (avg:19131.2348) lr 0.005000
Epoch: [00/14][101/795] Time 1.666 Data 1.581 Loss 371805.3509 (avg:19074.7909) lr 0.005000
Epoch: [00/14][111/795] Time 1.765 Data 1.682 Loss 470001.0322 (avg:19040.6672) lr 0.005000
Epoch: [00/14][121/795] Time 1.519 Data 1.461 Loss 258513.7239 (avg:18917.1205) lr 0.005000
Epoch: [00/14][131/795] Time 1.851 Data 1.766 Loss 410540.5809 (avg:18721.6796) lr 0.005000
Epoch: [00/14][141/795] Time 1.733 Data 1.647 Loss 386475.4184 (avg:18622.4480) lr 0.005000
Epoch: [00/14][151/795] Time 1.645 Data 1.522 Loss 344129.1177 (avg:18631.0319) lr 0.005000
Epoch: [00/14][161/795] Time 1.742 Data 1.660 Loss 392906.2826 (avg:18525.2534) lr 0.005000
Epoch: [00/14][171/795] Time 1.712 Data 1.651 Loss 416956.7317 (avg:18488.0447) lr 0.005000
Epoch: [00/14][181/795] Time 1.653 Data 1.594 Loss 317900.8881 (avg:18407.9506) lr 0.005000
Epoch: [00/14][191/795] Time 1.653 Data 1.531 Loss 354373.5871 (avg:18367.3307) lr 0.005000
Epoch: [00/14][201/795] Time 1.681 Data 1.633 Loss 459533.8126 (avg:18297.3236) lr 0.005000
Epoch: [00/14][211/795] Time 1.673 Data 1.613 Loss 379058.8949 (avg:18286.5804) lr 0.005000
Epoch: [00/14][221/795] Time 1.846 Data 1.765 Loss 583150.6272 (avg:18216.8331) lr 0.005000
Epoch: [00/14][231/795] Time 1.561 Data 1.497 Loss 249329.3096 (avg:18156.6827) lr 0.005000
Epoch: [00/14][241/795] Time 1.529 Data 1.465 Loss 292771.2301 (avg:18091.3915) lr 0.005000
Epoch: [00/14][251/795] Time 1.763 Data 1.704 Loss 411795.2086 (avg:17996.2679) lr 0.005000
Epoch: [00/14][261/795] Time 1.651 Data 1.588 Loss 316501.9786 (avg:18004.1453) lr 0.005000
Epoch: [00/14][271/795] Time 1.893 Data 1.789 Loss 525770.8874 (avg:17983.6860) lr 0.005000
Epoch: [00/14][281/795] Time 1.548 Data 1.475 Loss 392244.0652 (avg:17976.4092) lr 0.005000
Epoch: [00/14][291/795] Time 1.599 Data 1.551 Loss 400555.5472 (avg:17931.6986) lr 0.005000
Epoch: [00/14][301/795] Time 1.737 Data 1.687 Loss 480013.5910 (avg:17930.3734) lr 0.005000
Epoch: [00/14][311/795] Time 1.519 Data 1.471 Loss 372351.2294 (avg:17912.7834) lr 0.005000
Epoch: [00/14][321/795] Time 1.641 Data 1.527 Loss 452165.8752 (avg:17860.3852) lr 0.005000
Epoch: [00/14][331/795] Time 1.670 Data 1.621 Loss 413337.5305 (avg:17879.8576) lr 0.005000
Epoch: [00/14][341/795] Time 1.551 Data 1.503 Loss 387020.5037 (avg:17841.3684) lr 0.005000
Epoch: [00/14][351/795] Time 1.567 Data 1.473 Loss 391120.7923 (avg:17857.6784) lr 0.005000
Epoch: [00/14][361/795] Time 1.684 Data 1.609 Loss 540724.6259 (avg:17888.6503) lr 0.005000
Epoch: [00/14][371/795] Time 1.669 Data 1.618 Loss 471822.8094 (avg:17859.7906) lr 0.005000
Epoch: [00/14][381/795] Time 1.564 Data 1.440 Loss 275682.6931 (avg:17797.4691) lr 0.005000
Epoch: [00/14][391/795] Time 1.703 Data 1.641 Loss 390681.2464 (avg:17793.1661) lr 0.005000
Epoch: [00/14][401/795] Time 1.953 Data 1.833 Loss 539790.1555 (avg:17769.1334) lr 0.005000
Epoch: [00/14][411/795] Time 1.639 Data 1.588 Loss 279535.4775 (avg:17722.4581) lr 0.005000
Epoch: [00/14][421/795] Time 1.722 Data 1.629 Loss 355046.4840 (avg:17675.9484) lr 0.005000
Epoch: [00/14][431/795] Time 1.834 Data 1.786 Loss 493634.3276 (avg:17625.0924) lr 0.005000
Epoch: [00/14][441/795] Time 1.443 Data 1.370 Loss 299657.2892 (avg:17580.7608) lr 0.005000
Epoch: [00/14][451/795] Time 1.585 Data 1.471 Loss 392751.3279 (avg:17576.4882) lr 0.005000
Epoch: [00/14][461/795] Time 1.744 Data 1.696 Loss 502364.0312 (avg:17545.6165) lr 0.005000
Epoch: [00/14][471/795] Time 1.574 Data 1.526 Loss 333644.3508 (avg:17516.1383) lr 0.005000
Epoch: [00/14][481/795] Time 1.696 Data 1.581 Loss 376593.0119 (avg:17492.8189) lr 0.005000
Epoch: [00/14][491/795] Time 1.310 Data 1.262 Loss 205261.1909 (avg:17438.8424) lr 0.005000
Epoch: [00/14][501/795] Time 1.396 Data 1.349 Loss 287016.0115 (avg:17410.1734) lr 0.005000
Epoch: [00/14][511/795] Time 1.792 Data 1.676 Loss 412255.5288 (avg:17411.0039) lr 0.005000
Epoch: [00/14][521/795] Time 1.682 Data 1.588 Loss 479857.8049 (avg:17385.0561) lr 0.005000
Epoch: [00/14][531/795] Time 1.666 Data 1.615 Loss 389461.2162 (avg:17380.4986) lr 0.005000
Epoch: [00/14][541/795] Time 1.633 Data 1.539 Loss 477647.3275 (avg:17404.0661) lr 0.005000
Epoch: [00/14][551/795] Time 1.421 Data 1.348 Loss 287359.5943 (avg:17379.9006) lr 0.005000
Epoch: [00/14][561/795] Time 1.725 Data 1.640 Loss 364301.3812 (avg:17354.6407) lr 0.005000
Epoch: [00/14][571/795] Time 1.583 Data 1.485 Loss 344294.0537 (avg:17355.7278) lr 0.005000
Epoch: [00/14][581/795] Time 1.843 Data 1.782 Loss 461989.2888 (avg:17336.4218) lr 0.005000
Epoch: [00/14][591/795] Time 1.711 Data 1.656 Loss 446169.5768 (avg:17332.5721) lr 0.005000
Epoch: [00/14][601/795] Time 1.831 Data 1.710 Loss 537767.6261 (avg:17333.4231) lr 0.005000
Epoch: [00/14][611/795] Time 1.674 Data 1.592 Loss 380025.1914 (avg:17313.8310) lr 0.005000
Epoch: [00/14][621/795] Time 1.613 Data 1.550 Loss 333382.2832 (avg:17300.7138) lr 0.005000
Epoch: [00/14][631/795] Time 1.759 Data 1.678 Loss 437548.1961 (avg:17295.2235) lr 0.005000
Epoch: [00/14][641/795] Time 1.729 Data 1.627 Loss 397176.8673 (avg:17282.4444) lr 0.005000
Epoch: [00/14][651/795] Time 1.687 Data 1.606 Loss 346487.8129 (avg:17252.0223) lr 0.005000
Epoch: [00/14][661/795] Time 1.629 Data 1.526 Loss 420488.1171 (avg:17226.5708) lr 0.005000
Epoch: [00/14][671/795] Time 1.758 Data 1.657 Loss 412310.1274 (avg:17212.3541) lr 0.005000
Epoch: [00/14][681/795] Time 1.674 Data 1.594 Loss 399303.4168 (avg:17198.9877) lr 0.005000
Epoch: [00/14][691/795] Time 1.757 Data 1.667 Loss 439987.8615 (avg:17195.8211) lr 0.005000
Epoch: [00/14][701/795] Time 1.718 Data 1.633 Loss 387562.1744 (avg:17197.8136) lr 0.005000
Epoch: [00/14][711/795] Time 1.683 Data 1.620 Loss 323313.1721 (avg:17177.4651) lr 0.005000
Epoch: [00/14][721/795] Time 1.789 Data 1.682 Loss 390897.4572 (avg:17180.3878) lr 0.005000
Epoch: [00/14][731/795] Time 1.667 Data 1.587 Loss 294467.5530 (avg:17144.1395) lr 0.005000
Epoch: [00/14][741/795] Time 1.726 Data 1.637 Loss 386793.9280 (avg:17151.6757) lr 0.005000
Epoch: [00/14][751/795] Time 1.728 Data 1.666 Loss 402800.1218 (avg:17156.6711) lr 0.005000
Epoch: [00/14][761/795] Time 1.756 Data 1.633 Loss 352869.6883 (avg:17149.5964) lr 0.005000
Epoch: [00/14][771/795] Time 1.884 Data 1.821 Loss 569469.2540 (avg:17129.4024) lr 0.005000
Epoch: [00/14][781/795] Time 1.824 Data 1.762 Loss 422116.0477 (avg:17109.0195) lr 0.005000
Epoch: [00/14][791/795] Time 1.821 Data 1.738 Loss 418871.1633 (avg:17101.2241) lr 0.005000
Epoch: [01/14][001/795] Time 2.017 Data 1.936 Loss 365032.8435 (avg:15209.7018) lr 0.005000
Epoch: [01/14][011/795] Time 1.647 Data 1.583 Loss 327530.9125 (avg:16423.6359) lr 0.005000
Epoch: [01/14][021/795] Time 1.589 Data 1.532 Loss 364533.1802 (avg:16354.7776) lr 0.005000
Epoch: [01/14][031/795] Time 1.764 Data 1.683 Loss 455279.8682 (avg:16490.3570) lr 0.005000
Epoch: [01/14][041/795] Time 1.612 Data 1.548 Loss 336542.2340 (avg:16693.1260) lr 0.005000
Epoch: [01/14][051/795] Time 1.727 Data 1.606 Loss 379524.3538 (avg:16573.5982) lr 0.005000
Epoch: [01/14][061/795] Time 1.664 Data 1.560 Loss 379529.9020 (avg:16607.9697) lr 0.005000
Epoch: [01/14][071/795] Time 1.810 Data 1.752 Loss 400201.2904 (avg:16514.1543) lr 0.005000
Epoch: [01/14][081/795] Time 1.736 Data 1.675 Loss 399437.0689 (avg:16624.4659) lr 0.005000
Epoch: [01/14][091/795] Time 1.832 Data 1.748 Loss 476499.5765 (avg:16600.3745) lr 0.005000
Epoch: [01/14][101/795] Time 1.682 Data 1.603 Loss 470642.6392 (avg:16552.2194) lr 0.005000
Epoch: [01/14][111/795] Time 1.929 Data 1.841 Loss 421597.8859 (avg:16707.1578) lr 0.005000
Epoch: [01/14][121/795] Time 1.532 Data 1.429 Loss 238163.5336 (avg:16644.9826) lr 0.005000
Epoch: [01/14][131/795] Time 1.608 Data 1.551 Loss 399338.8870 (avg:16603.1731) lr 0.005000
Epoch: [01/14][141/795] Time 1.742 Data 1.615 Loss 418924.5013 (avg:16523.7496) lr 0.005000
Epoch: [01/14][151/795] Time 1.695 Data 1.569 Loss 348360.9305 (avg:16531.3993) lr 0.005000
Epoch: [01/14][161/795] Time 1.585 Data 1.519 Loss 315518.5101 (avg:16616.2166) lr 0.005000
Epoch: [01/14][171/795] Time 1.816 Data 1.735 Loss 449858.0790 (avg:16549.9644) lr 0.005000
Epoch: [01/14][181/795] Time 1.824 Data 1.741 Loss 386895.4299 (avg:16565.8989) lr 0.005000
Epoch: [01/14][191/795] Time 1.791 Data 1.687 Loss 403983.8118 (avg:16591.7825) lr 0.005000
Epoch: [01/14][201/795] Time 1.726 Data 1.639 Loss 435233.9194 (avg:16561.0853) lr 0.005000
Epoch: [01/14][211/795] Time 1.877 Data 1.794 Loss 386863.9276 (avg:16566.0592) lr 0.005000
Epoch: [01/14][221/795] Time 1.819 Data 1.734 Loss 465231.7593 (avg:16628.1155) lr 0.005000
Epoch: [01/14][231/795] Time 1.738 Data 1.657 Loss 352720.4018 (avg:16602.9234) lr 0.005000
Epoch: [01/14][241/795] Time 1.566 Data 1.507 Loss 328064.7792 (avg:16509.2314) lr 0.005000
Epoch: [01/14][251/795] Time 1.729 Data 1.625 Loss 368469.9248 (avg:16461.4111) lr 0.005000
Epoch: [01/14][261/795] Time 1.948 Data 1.824 Loss 491785.1051 (avg:16443.2173) lr 0.005000
Epoch: [01/14][271/795] Time 1.615 Data 1.553 Loss 358937.9990 (avg:16408.0608) lr 0.005000
Epoch: [01/14][281/795] Time 1.842 Data 1.760 Loss 433219.6976 (avg:16407.8621) lr 0.005000
Epoch: [01/14][291/795] Time 1.654 Data 1.593 Loss 344420.8540 (avg:16391.2296) lr 0.005000
Epoch: [01/14][301/795] Time 1.681 Data 1.598 Loss 366812.8066 (avg:16337.7412) lr 0.005000
Epoch: [01/14][311/795] Time 1.991 Data 1.927 Loss 499062.2564 (avg:16336.0012) lr 0.005000
Epoch: [01/14][321/795] Time 1.931 Data 1.811 Loss 484338.5325 (avg:16353.0279) lr 0.005000
Epoch: [01/14][331/795] Time 1.586 Data 1.484 Loss 326006.3827 (avg:16342.7279) lr 0.005000
Epoch: [01/14][341/795] Time 1.587 Data 1.523 Loss 308076.2562 (avg:16311.6877) lr 0.005000
Epoch: [01/14][351/795] Time 1.602 Data 1.545 Loss 322626.4752 (avg:16283.7232) lr 0.005000
Epoch: [01/14][361/795] Time 1.789 Data 1.665 Loss 404092.9776 (avg:16272.5802) lr 0.005000
Epoch: [01/14][371/795] Time 1.740 Data 1.662 Loss 451984.0479 (avg:16279.7658) lr 0.005000
Epoch: [01/14][381/795] Time 1.931 Data 1.809 Loss 514691.9901 (avg:16255.0617) lr 0.005000
Epoch: [01/14][391/795] Time 1.814 Data 1.756 Loss 470705.7324 (avg:16245.1075) lr 0.005000
Epoch: [01/14][401/795] Time 1.567 Data 1.446 Loss 284702.5827 (avg:16288.3954) lr 0.005000
Epoch: [01/14][411/795] Time 1.764 Data 1.684 Loss 497728.9326 (avg:16266.0498) lr 0.005000
Epoch: [01/14][421/795] Time 1.875 Data 1.773 Loss 426600.3338 (avg:16265.3463) lr 0.005000
Epoch: [01/14][431/795] Time 1.705 Data 1.601 Loss 401514.4326 (avg:16248.6052) lr 0.005000
Epoch: [01/14][441/795] Time 1.727 Data 1.603 Loss 415307.9310 (avg:16273.1659) lr 0.005000
Epoch: [01/14][451/795] Time 1.723 Data 1.666 Loss 355119.6041 (avg:16260.0334) lr 0.005000
Epoch: [01/14][461/795] Time 1.759 Data 1.697 Loss 412867.5609 (avg:16264.0649) lr 0.005000
Epoch: [01/14][471/795] Time 1.603 Data 1.479 Loss 273728.5073 (avg:16255.0799) lr 0.005000
Epoch: [01/14][481/795] Time 1.812 Data 1.753 Loss 423941.6454 (avg:16302.5600) lr 0.005000
Epoch: [01/14][491/795] Time 1.513 Data 1.448 Loss 258076.5214 (avg:16288.1464) lr 0.005000
Epoch: [01/14][501/795] Time 1.563 Data 1.482 Loss 324075.6160 (avg:16307.5910) lr 0.005000
Epoch: [01/14][511/795] Time 1.812 Data 1.750 Loss 376193.0459 (avg:16287.7999) lr 0.005000
Epoch: [01/14][521/795] Time 1.715 Data 1.638 Loss 403522.7209 (avg:16292.3485) lr 0.005000
Epoch: [01/14][531/795] Time 1.615 Data 1.564 Loss 392995.4722 (avg:16305.7676) lr 0.005000
Epoch: [01/14][541/795] Time 1.575 Data 1.461 Loss 368809.4487 (avg:16314.3620) lr 0.005000
Epoch: [01/14][551/795] Time 1.767 Data 1.694 Loss 410522.4170 (avg:16328.5457) lr 0.005000
Epoch: [01/14][561/795] Time 1.709 Data 1.594 Loss 398328.7766 (avg:16338.7188) lr 0.005000
Epoch: [01/14][571/795] Time 1.584 Data 1.535 Loss 320471.1612 (avg:16331.2777) lr 0.005000
Epoch: [01/14][581/795] Time 1.595 Data 1.481 Loss 410291.6375 (avg:16320.5887) lr 0.005000
Epoch: [01/14][591/795] Time 1.437 Data 1.389 Loss 305123.6600 (avg:16321.7490) lr 0.005000
Epoch: [01/14][601/795] Time 1.661 Data 1.546 Loss 399403.9236 (avg:16304.1711) lr 0.005000
Epoch: [01/14][611/795] Time 1.804 Data 1.745 Loss 404336.9275 (avg:16304.2087) lr 0.005000
Epoch: [01/14][621/795] Time 1.794 Data 1.712 Loss 348939.6694 (avg:16289.7257) lr 0.005000
Epoch: [01/14][631/795] Time 1.903 Data 1.778 Loss 442637.9967 (avg:16290.9522) lr 0.005000
Epoch: [01/14][641/795] Time 1.720 Data 1.656 Loss 377614.1054 (avg:16286.8238) lr 0.005000
Epoch: [01/14][651/795] Time 1.769 Data 1.696 Loss 486989.7794 (avg:16295.0056) lr 0.005000
Epoch: [01/14][661/795] Time 1.497 Data 1.446 Loss 287038.0428 (avg:16302.1156) lr 0.005000
Epoch: [01/14][671/795] Time 1.648 Data 1.580 Loss 294647.3131 (avg:16327.0975) lr 0.005000
Epoch: [01/14][681/795] Time 1.851 Data 1.759 Loss 421088.1903 (avg:16322.0931) lr 0.005000
Epoch: [01/14][691/795] Time 1.766 Data 1.696 Loss 346600.4869 (avg:16327.4446) lr 0.005000
Epoch: [01/14][701/795] Time 1.815 Data 1.707 Loss 399095.6145 (avg:16334.6938) lr 0.005000
Epoch: [01/14][711/795] Time 1.792 Data 1.660 Loss 284214.9886 (avg:16343.1096) lr 0.005000
Epoch: [01/14][721/795] Time 1.809 Data 1.708 Loss 497249.5903 (avg:16354.0951) lr 0.005000
Epoch: [01/14][731/795] Time 1.731 Data 1.650 Loss 426013.5435 (avg:16349.4647) lr 0.005000
Epoch: [01/14][741/795] Time 1.704 Data 1.582 Loss 349975.8512 (avg:16337.9162) lr 0.005000
Epoch: [01/14][751/795] Time 1.727 Data 1.607 Loss 367039.9238 (avg:16327.9978) lr 0.005000
Epoch: [01/14][761/795] Time 1.864 Data 1.742 Loss 520871.5361 (avg:16327.4811) lr 0.005000
Epoch: [01/14][771/795] Time 1.783 Data 1.700 Loss 391070.3438 (avg:16329.4733) lr 0.005000
Epoch: [01/14][781/795] Time 1.824 Data 1.743 Loss 410745.5090 (avg:16363.8126) lr 0.005000
Epoch: [01/14][791/795] Time 1.686 Data 1.562 Loss 379625.1917 (avg:16354.0885) lr 0.005000
Epoch: [02/14][001/795] Time 1.918 Data 1.816 Loss 365692.6030 (avg:15237.1918) lr 0.005000
Epoch: [02/14][011/795] Time 1.696 Data 1.612 Loss 403379.3822 (avg:16603.6548) lr 0.005000
Epoch: [02/14][021/795] Time 1.727 Data 1.649 Loss 402895.1032 (avg:16274.3100) lr 0.005000
Epoch: [02/14][031/795] Time 1.735 Data 1.672 Loss 363336.6767 (avg:16625.3391) lr 0.005000
Epoch: [02/14][041/795] Time 1.790 Data 1.687 Loss 411852.4432 (avg:16798.2246) lr 0.005000
Epoch: [02/14][051/795] Time 1.760 Data 1.656 Loss 327529.9736 (avg:16780.1103) lr 0.005000
Epoch: [02/14][061/795] Time 1.568 Data 1.470 Loss 300019.7295 (avg:16472.6700) lr 0.005000
Epoch: [02/14][071/795] Time 1.615 Data 1.553 Loss 325387.9845 (avg:16372.4644) lr 0.005000
Epoch: [02/14][081/795] Time 1.757 Data 1.675 Loss 356556.2004 (avg:16394.7185) lr 0.005000
Epoch: [02/14][091/795] Time 1.865 Data 1.763 Loss 434890.0713 (avg:16473.3743) lr 0.005000
Epoch: [02/14][101/795] Time 1.723 Data 1.638 Loss 400068.7653 (avg:16453.6612) lr 0.005000
Epoch: [02/14][111/795] Time 1.867 Data 1.812 Loss 423101.9820 (avg:16381.0088) lr 0.005000
Epoch: [02/14][121/795] Time 1.607 Data 1.505 Loss 369673.6266 (avg:16369.4977) lr 0.005000
Epoch: [02/14][131/795] Time 2.021 Data 1.939 Loss 516427.8092 (avg:16394.1542) lr 0.005000
Epoch: [02/14][141/795] Time 1.754 Data 1.687 Loss 353754.1061 (avg:16440.6707) lr 0.005000
Epoch: [02/14][151/795] Time 1.895 Data 1.836 Loss 440556.0164 (avg:16344.2109) lr 0.005000
Epoch: [02/14][161/795] Time 1.776 Data 1.710 Loss 477654.7276 (avg:16301.5489) lr 0.005000
Epoch: [02/14][171/795] Time 1.669 Data 1.608 Loss 350484.9429 (avg:16256.1881) lr 0.005000
Epoch: [02/14][181/795] Time 1.834 Data 1.771 Loss 415384.9652 (avg:16233.3991) lr 0.005000
Epoch: [02/14][191/795] Time 1.858 Data 1.776 Loss 446118.1491 (avg:16246.2372) lr 0.005000
Epoch: [02/14][201/795] Time 1.821 Data 1.757 Loss 464916.0269 (avg:16274.5598) lr 0.005000
Epoch: [02/14][211/795] Time 1.888 Data 1.818 Loss 485573.6735 (avg:16210.7442) lr 0.005000
Epoch: [02/14][221/795] Time 1.836 Data 1.765 Loss 380750.2798 (avg:16217.1215) lr 0.005000
Epoch: [02/14][231/795] Time 1.702 Data 1.640 Loss 324100.6004 (avg:16235.9958) lr 0.005000
Epoch: [02/14][241/795] Time 1.781 Data 1.720 Loss 376297.5350 (avg:16223.0984) lr 0.005000
Epoch: [02/14][251/795] Time 1.812 Data 1.749 Loss 445575.6875 (avg:16236.9595) lr 0.005000
Epoch: [02/14][261/795] Time 1.939 Data 1.879 Loss 512920.9240 (avg:16268.8705) lr 0.005000
Epoch: [02/14][271/795] Time 1.949 Data 1.850 Loss 455884.0439 (avg:16254.0939) lr 0.005000
Epoch: [02/14][281/795] Time 1.691 Data 1.633 Loss 373960.6093 (avg:16251.9085) lr 0.005000
Epoch: [02/14][291/795] Time 1.752 Data 1.632 Loss 437837.1927 (avg:16289.1662) lr 0.005000
Epoch: [02/14][301/795] Time 1.744 Data 1.657 Loss 364177.5802 (avg:16273.0671) lr 0.005000
Epoch: [02/14][311/795] Time 1.638 Data 1.559 Loss 355558.3971 (avg:16212.4967) lr 0.005000
Epoch: [02/14][321/795] Time 1.821 Data 1.696 Loss 315349.6783 (avg:16195.0233) lr 0.005000
Epoch: [02/14][331/795] Time 1.641 Data 1.562 Loss 321107.0777 (avg:16179.5560) lr 0.005000
Epoch: [02/14][341/795] Time 1.711 Data 1.631 Loss 439094.4023 (avg:16207.1066) lr 0.005000
Epoch: [02/14][351/795] Time 1.807 Data 1.682 Loss 423036.4102 (avg:16209.9484) lr 0.005000
Epoch: [02/14][361/795] Time 1.934 Data 1.813 Loss 491821.4136 (avg:16205.7977) lr 0.005000
Epoch: [02/14][371/795] Time 1.877 Data 1.773 Loss 583061.6528 (avg:16218.0569) lr 0.005000
Epoch: [02/14][381/795] Time 1.716 Data 1.630 Loss 391631.4501 (avg:16237.3691) lr 0.005000
Epoch: [02/14][391/795] Time 1.869 Data 1.744 Loss 467578.6584 (avg:16206.2246) lr 0.005000
Epoch: [02/14][401/795] Time 1.802 Data 1.678 Loss 460200.0121 (avg:16209.8592) lr 0.005000
Epoch: [02/14][411/795] Time 1.718 Data 1.633 Loss 376673.6783 (avg:16216.7325) lr 0.005000
Epoch: [02/14][421/795] Time 1.774 Data 1.670 Loss 376820.9733 (avg:16225.0414) lr 0.005000
Epoch: [02/14][431/795] Time 1.724 Data 1.644 Loss 397403.2675 (avg:16189.7915) lr 0.005000
Epoch: [02/14][441/795] Time 1.688 Data 1.629 Loss 397079.4401 (avg:16225.3046) lr 0.005000
Epoch: [02/14][451/795] Time 1.713 Data 1.654 Loss 372376.9113 (avg:16181.3382) lr 0.005000
Epoch: [02/14][461/795] Time 1.683 Data 1.622 Loss 412229.3215 (avg:16229.4566) lr 0.005000
Epoch: [02/14][471/795] Time 1.768 Data 1.663 Loss 424185.3948 (avg:16238.8177) lr 0.005000
Epoch: [02/14][481/795] Time 1.734 Data 1.652 Loss 411110.4216 (avg:16211.0215) lr 0.005000
Epoch: [02/14][491/795] Time 1.934 Data 1.830 Loss 556412.2771 (avg:16266.9180) lr 0.005000
Epoch: [02/14][501/795] Time 1.841 Data 1.721 Loss 432067.0356 (avg:16255.3967) lr 0.005000
Epoch: [02/14][511/795] Time 1.841 Data 1.780 Loss 418937.1825 (avg:16268.1113) lr 0.005000
Epoch: [02/14][521/795] Time 1.884 Data 1.799 Loss 460620.9648 (avg:16261.8495) lr 0.005000
Epoch: [02/14][531/795] Time 1.713 Data 1.609 Loss 425236.1595 (avg:16225.4878) lr 0.005000
Epoch: [02/14][541/795] Time 1.637 Data 1.554 Loss 361118.7707 (avg:16214.8097) lr 0.005000
Epoch: [02/14][551/795] Time 1.628 Data 1.548 Loss 283261.7214 (avg:16170.5382) lr 0.005000
Epoch: [02/14][561/795] Time 1.748 Data 1.690 Loss 365804.9976 (avg:16168.4770) lr 0.005000
Epoch: [02/14][571/795] Time 1.873 Data 1.791 Loss 499253.7095 (avg:16191.4772) lr 0.005000
Epoch: [02/14][581/795] Time 1.808 Data 1.703 Loss 416204.8001 (avg:16189.9279) lr 0.005000
Epoch: [02/14][591/795] Time 1.745 Data 1.665 Loss 429241.8275 (avg:16211.6944) lr 0.005000
Epoch: [02/14][601/795] Time 1.831 Data 1.766 Loss 373093.4057 (avg:16212.3529) lr 0.005000
Epoch: [02/14][611/795] Time 1.768 Data 1.688 Loss 334196.3936 (avg:16205.7238) lr 0.005000
Epoch: [02/14][621/795] Time 1.690 Data 1.630 Loss 342828.3842 (avg:16215.3505) lr 0.005000
Epoch: [02/14][631/795] Time 1.637 Data 1.512 Loss 316600.1362 (avg:16186.8616) lr 0.005000
Epoch: [02/14][641/795] Time 1.635 Data 1.511 Loss 376116.4921 (avg:16151.1257) lr 0.005000
Epoch: [02/14][651/795] Time 1.674 Data 1.590 Loss 367278.7080 (avg:16152.6929) lr 0.005000
Epoch: [02/14][661/795] Time 1.984 Data 1.895 Loss 414527.9091 (avg:16148.5778) lr 0.005000
Epoch: [02/14][671/795] Time 1.918 Data 1.852 Loss 373676.7370 (avg:16153.8799) lr 0.005000
Epoch: [02/14][681/795] Time 1.783 Data 1.681 Loss 442744.1382 (avg:16163.7407) lr 0.005000
Epoch: [02/14][691/795] Time 1.768 Data 1.684 Loss 394732.0251 (avg:16160.0193) lr 0.005000
Epoch: [02/14][701/795] Time 1.503 Data 1.441 Loss 240959.8350 (avg:16174.8175) lr 0.005000
Epoch: [02/14][711/795] Time 1.575 Data 1.516 Loss 320954.9085 (avg:16143.1050) lr 0.005000
Epoch: [02/14][721/795] Time 1.647 Data 1.583 Loss 378671.5823 (avg:16140.6170) lr 0.005000
Epoch: [02/14][731/795] Time 1.519 Data 1.457 Loss 307048.9851 (avg:16135.6404) lr 0.005000
Epoch: [02/14][741/795] Time 1.688 Data 1.586 Loss 423023.0317 (avg:16157.1035) lr 0.005000
Epoch: [02/14][751/795] Time 1.957 Data 1.833 Loss 441549.2814 (avg:16154.8609) lr 0.005000
Epoch: [02/14][761/795] Time 1.797 Data 1.692 Loss 466410.4721 (avg:16147.4553) lr 0.005000
Epoch: [02/14][771/795] Time 1.808 Data 1.700 Loss 320195.3808 (avg:16128.8507) lr 0.005000
Epoch: [02/14][781/795] Time 1.969 Data 1.841 Loss 402558.0593 (avg:16136.7999) lr 0.005000
Epoch: [02/14][791/795] Time 1.847 Data 1.774 Loss 342152.5959 (avg:16126.1240) lr 0.005000
Epoch: [03/14][001/795] Time 1.933 Data 1.872 Loss 422738.5381 (avg:17614.1058) lr 0.005000
Epoch: [03/14][011/795] Time 1.535 Data 1.473 Loss 286878.4598 (avg:15851.6504) lr 0.005000
Epoch: [03/14][021/795] Time 1.853 Data 1.728 Loss 394724.4862 (avg:16660.6210) lr 0.005000
Epoch: [03/14][031/795] Time 1.912 Data 1.787 Loss 448319.3095 (avg:16142.4232) lr 0.005000
Epoch: [03/14][041/795] Time 1.963 Data 1.900 Loss 454038.9327 (avg:16211.9851) lr 0.005000
Epoch: [03/14][051/795] Time 1.880 Data 1.799 Loss 454253.8106 (avg:15867.5644) lr 0.005000
Epoch: [03/14][061/795] Time 1.769 Data 1.708 Loss 383434.5735 (avg:15834.1676) lr 0.005000
Epoch: [03/14][071/795] Time 1.707 Data 1.627 Loss 362933.8426 (avg:16001.5389) lr 0.005000
Epoch: [03/14][081/795] Time 1.647 Data 1.524 Loss 343418.3227 (avg:15992.6574) lr 0.005000
Epoch: [03/14][091/795] Time 1.621 Data 1.558 Loss 332941.2545 (avg:16019.7556) lr 0.005000
Epoch: [03/14][101/795] Time 1.944 Data 1.823 Loss 602427.8951 (avg:16122.7160) lr 0.005000
Epoch: [03/14][111/795] Time 1.723 Data 1.641 Loss 319227.0777 (avg:16064.8951) lr 0.005000
Epoch: [03/14][121/795] Time 1.885 Data 1.801 Loss 436407.7818 (avg:15894.8812) lr 0.005000
Epoch: [03/14][131/795] Time 1.829 Data 1.750 Loss 434873.8468 (avg:16029.3068) lr 0.005000
Epoch: [03/14][141/795] Time 1.620 Data 1.519 Loss 285798.7740 (avg:15977.5041) lr 0.005000
Epoch: [03/14][151/795] Time 1.753 Data 1.672 Loss 363460.6923 (avg:15996.6697) lr 0.005000
Epoch: [03/14][161/795] Time 1.816 Data 1.737 Loss 437523.8544 (avg:16013.1676) lr 0.005000
Epoch: [03/14][171/795] Time 1.715 Data 1.659 Loss 321910.4206 (avg:15975.8628) lr 0.005000
Epoch: [03/14][181/795] Time 1.785 Data 1.723 Loss 452664.4164 (avg:16026.1217) lr 0.005000
Epoch: [03/14][191/795] Time 1.536 Data 1.433 Loss 285417.0577 (avg:15971.2404) lr 0.005000
Epoch: [03/14][201/795] Time 1.735 Data 1.653 Loss 342776.7200 (avg:15950.3624) lr 0.005000
Epoch: [03/14][211/795] Time 1.614 Data 1.530 Loss 293214.4835 (avg:15909.0909) lr 0.005000
Epoch: [03/14][221/795] Time 1.752 Data 1.669 Loss 357477.1355 (avg:15949.6273) lr 0.005000
Epoch: [03/14][231/795] Time 1.781 Data 1.702 Loss 402603.1171 (avg:15969.5676) lr 0.005000
Epoch: [03/14][241/795] Time 1.718 Data 1.595 Loss 435180.4797 (avg:16044.6960) lr 0.005000
Epoch: [03/14][251/795] Time 1.584 Data 1.482 Loss 306541.6451 (avg:16036.5714) lr 0.005000
Epoch: [03/14][261/795] Time 1.826 Data 1.767 Loss 456401.1584 (avg:16015.9831) lr 0.005000
Epoch: [03/14][271/795] Time 1.926 Data 1.820 Loss 475278.5224 (avg:16062.9082) lr 0.005000
Epoch: [03/14][281/795] Time 1.757 Data 1.698 Loss 471802.3762 (avg:16081.5173) lr 0.005000
Epoch: [03/14][291/795] Time 1.731 Data 1.606 Loss 413816.1252 (avg:16058.3075) lr 0.005000
Epoch: [03/14][301/795] Time 1.918 Data 1.855 Loss 518741.9785 (avg:16139.6147) lr 0.005000
Epoch: [03/14][311/795] Time 1.980 Data 1.875 Loss 488756.2107 (avg:16173.3496) lr 0.005000
Epoch: [03/14][321/795] Time 1.733 Data 1.669 Loss 367471.7420 (avg:16104.8596) lr 0.005000
Epoch: [03/14][331/795] Time 1.900 Data 1.838 Loss 400507.7868 (avg:16066.9881) lr 0.005000
Epoch: [03/14][341/795] Time 1.660 Data 1.536 Loss 339628.9836 (avg:16071.4709) lr 0.005000
Epoch: [03/14][351/795] Time 1.663 Data 1.577 Loss 334878.2415 (avg:16037.3485) lr 0.005000
Epoch: [03/14][361/795] Time 1.809 Data 1.724 Loss 484208.3037 (avg:16022.2193) lr 0.005000
Epoch: [03/14][371/795] Time 1.771 Data 1.669 Loss 417645.8811 (avg:16041.6163) lr 0.005000
Epoch: [03/14][381/795] Time 1.685 Data 1.581 Loss 350313.2026 (avg:16029.2294) lr 0.005000
Epoch: [03/14][391/795] Time 1.570 Data 1.508 Loss 317368.7128 (avg:16052.5926) lr 0.005000
Epoch: [03/14][401/795] Time 1.917 Data 1.837 Loss 467909.8906 (avg:16065.7817) lr 0.005000
Epoch: [03/14][411/795] Time 1.644 Data 1.557 Loss 333176.9396 (avg:16077.4880) lr 0.005000
Epoch: [03/14][421/795] Time 1.630 Data 1.569 Loss 264350.1967 (avg:16035.3887) lr 0.005000
Epoch: [03/14][431/795] Time 1.759 Data 1.703 Loss 292691.9648 (avg:16036.0611) lr 0.005000
Epoch: [03/14][441/795] Time 1.795 Data 1.692 Loss 414199.1814 (avg:15990.8914) lr 0.005000
Epoch: [03/14][451/795] Time 1.691 Data 1.567 Loss 331984.3775 (avg:15949.8315) lr 0.005000
Epoch: [03/14][461/795] Time 1.720 Data 1.639 Loss 421258.6463 (avg:15952.0102) lr 0.005000
Epoch: [03/14][471/795] Time 1.856 Data 1.796 Loss 509952.8888 (avg:15951.0284) lr 0.005000
Epoch: [03/14][481/795] Time 1.598 Data 1.475 Loss 285306.2312 (avg:15957.4210) lr 0.005000
Epoch: [03/14][491/795] Time 1.875 Data 1.812 Loss 403338.4776 (avg:15937.2110) lr 0.005000
Epoch: [03/14][501/795] Time 1.751 Data 1.648 Loss 374456.2090 (avg:15961.2357) lr 0.005000
Epoch: [03/14][511/795] Time 1.856 Data 1.734 Loss 390945.6231 (avg:15972.0857) lr 0.005000
Epoch: [03/14][521/795] Time 1.779 Data 1.699 Loss 431927.2792 (avg:15986.1733) lr 0.005000
Epoch: [03/14][531/795] Time 1.714 Data 1.651 Loss 339634.4683 (avg:16017.7546) lr 0.005000
Epoch: [03/14][541/795] Time 1.673 Data 1.587 Loss 401113.2260 (avg:16025.9261) lr 0.005000
Epoch: [03/14][551/795] Time 1.553 Data 1.451 Loss 292610.7241 (avg:15986.2239) lr 0.005000
Epoch: [03/14][561/795] Time 1.855 Data 1.776 Loss 460544.6036 (avg:15980.5482) lr 0.005000
Epoch: [03/14][571/795] Time 1.749 Data 1.669 Loss 406355.2565 (avg:15947.2698) lr 0.005000
Epoch: [03/14][581/795] Time 1.906 Data 1.802 Loss 517134.2810 (avg:15944.7207) lr 0.005000
Epoch: [03/14][591/795] Time 1.588 Data 1.507 Loss 300157.5517 (avg:15926.0252) lr 0.005000
Epoch: [03/14][601/795] Time 1.762 Data 1.679 Loss 398470.4564 (avg:15927.0741) lr 0.005000
Epoch: [03/14][611/795] Time 1.870 Data 1.788 Loss 423080.9226 (avg:15932.9907) lr 0.005000
Epoch: [03/14][621/795] Time 1.632 Data 1.551 Loss 381441.4922 (avg:15957.6290) lr 0.005000
Epoch: [03/14][631/795] Time 1.833 Data 1.713 Loss 431448.3678 (avg:15926.0598) lr 0.005000
Epoch: [03/14][641/795] Time 1.637 Data 1.558 Loss 377221.7753 (avg:15934.5702) lr 0.005000
Epoch: [03/14][651/795] Time 1.602 Data 1.522 Loss 367299.4340 (avg:15942.0196) lr 0.005000
Epoch: [03/14][661/795] Time 1.789 Data 1.684 Loss 394154.0620 (avg:15955.0011) lr 0.005000
Epoch: [03/14][671/795] Time 1.773 Data 1.670 Loss 478115.7764 (avg:15979.4877) lr 0.005000
Epoch: [03/14][681/795] Time 1.616 Data 1.556 Loss 319557.9312 (avg:15943.1737) lr 0.005000
Epoch: [03/14][691/795] Time 1.700 Data 1.637 Loss 401726.3079 (avg:15951.5093) lr 0.005000
Epoch: [03/14][701/795] Time 1.665 Data 1.566 Loss 340199.1539 (avg:15952.5553) lr 0.005000
Epoch: [03/14][711/795] Time 1.565 Data 1.503 Loss 237995.3931 (avg:15948.5924) lr 0.005000
Epoch: [03/14][721/795] Time 1.731 Data 1.650 Loss 369278.5746 (avg:15951.1275) lr 0.005000
Epoch: [03/14][731/795] Time 1.745 Data 1.682 Loss 347704.2461 (avg:15972.7701) lr 0.005000
Epoch: [03/14][741/795] Time 1.649 Data 1.590 Loss 381769.7119 (avg:15984.0522) lr 0.005000
Epoch: [03/14][751/795] Time 1.645 Data 1.519 Loss 357425.6664 (avg:15979.7833) lr 0.005000
Epoch: [03/14][761/795] Time 1.625 Data 1.518 Loss 298741.7389 (avg:15993.9118) lr 0.005000
Epoch: [03/14][771/795] Time 1.844 Data 1.754 Loss 296124.6523 (avg:15980.0491) lr 0.005000
Epoch: [03/14][781/795] Time 1.758 Data 1.649 Loss 388463.5575 (avg:15986.7974) lr 0.005000
Epoch: [03/14][791/795] Time 1.582 Data 1.521 Loss 347033.3524 (avg:15992.6343) lr 0.005000
Epoch: [04/14][001/795] Time 2.113 Data 1.990 Loss 442552.9180 (avg:18439.7049) lr 0.005000
Epoch: [04/14][011/795] Time 1.811 Data 1.728 Loss 467935.2399 (avg:15237.5513) lr 0.005000
Epoch: [04/14][021/795] Time 1.639 Data 1.561 Loss 352072.7648 (avg:15644.5228) lr 0.005000
Epoch: [04/14][031/795] Time 1.717 Data 1.633 Loss 417939.1836 (avg:15936.3101) lr 0.005000
Epoch: [04/14][041/795] Time 1.858 Data 1.796 Loss 388899.2052 (avg:15712.8715) lr 0.005000
Epoch: [04/14][051/795] Time 1.686 Data 1.602 Loss 324610.4699 (avg:16000.0563) lr 0.005000
Epoch: [04/14][061/795] Time 1.606 Data 1.527 Loss 242986.9843 (avg:15874.9850) lr 0.005000
Epoch: [04/14][071/795] Time 1.917 Data 1.832 Loss 372263.1304 (avg:15900.9725) lr 0.005000
Epoch: [04/14][081/795] Time 1.596 Data 1.537 Loss 309901.2078 (avg:15706.3632) lr 0.005000
Epoch: [04/14][091/795] Time 1.682 Data 1.583 Loss 423014.0336 (avg:15569.6350) lr 0.005000
Epoch: [04/14][101/795] Time 1.802 Data 1.693 Loss 412087.0018 (avg:15756.8944) lr 0.005000
Epoch: [04/14][111/795] Time 1.763 Data 1.699 Loss 350332.1567 (avg:15710.0407) lr 0.005000
Epoch: [04/14][121/795] Time 1.838 Data 1.754 Loss 440526.4800 (avg:15743.0562) lr 0.005000
Epoch: [04/14][131/795] Time 1.855 Data 1.771 Loss 371506.2425 (avg:15605.0403) lr 0.005000
Epoch: [04/14][141/795] Time 1.637 Data 1.514 Loss 282702.1531 (avg:15501.9532) lr 0.005000
Epoch: [04/14][151/795] Time 1.652 Data 1.569 Loss 288276.1193 (avg:15494.8342) lr 0.005000
Epoch: [04/14][161/795] Time 1.699 Data 1.639 Loss 357524.3461 (avg:15454.2289) lr 0.005000
Epoch: [04/14][171/795] Time 1.522 Data 1.462 Loss 325656.1453 (avg:15478.5526) lr 0.005000
Epoch: [04/14][181/795] Time 1.643 Data 1.521 Loss 367448.3346 (avg:15503.3630) lr 0.005000
Epoch: [04/14][191/795] Time 1.711 Data 1.608 Loss 372812.0744 (avg:15418.3194) lr 0.005000
Epoch: [04/14][201/795] Time 1.548 Data 1.467 Loss 304841.9612 (avg:15380.0747) lr 0.005000
Epoch: [04/14][211/795] Time 1.821 Data 1.737 Loss 520172.8488 (avg:15404.7020) lr 0.005000
Epoch: [04/14][221/795] Time 1.712 Data 1.655 Loss 464350.4220 (avg:15430.0437) lr 0.005000
Epoch: [04/14][231/795] Time 1.861 Data 1.801 Loss 528591.9753 (avg:15505.2602) lr 0.005000
Epoch: [04/14][241/795] Time 1.745 Data 1.686 Loss 422992.7986 (avg:15524.7989) lr 0.005000
Epoch: [04/14][251/795] Time 1.717 Data 1.632 Loss 455273.3219 (avg:15518.1796) lr 0.005000
Epoch: [04/14][261/795] Time 1.684 Data 1.623 Loss 422010.9586 (avg:15526.3313) lr 0.005000
Epoch: [04/14][271/795] Time 1.853 Data 1.772 Loss 428419.3896 (avg:15558.6476) lr 0.005000
Epoch: [04/14][281/795] Time 1.784 Data 1.664 Loss 405088.9938 (avg:15572.8234) lr 0.005000
Epoch: [04/14][291/795] Time 1.901 Data 1.822 Loss 553538.8179 (avg:15604.2192) lr 0.005000
Epoch: [04/14][301/795] Time 1.722 Data 1.642 Loss 440570.4352 (avg:15576.5928) lr 0.005000
Epoch: [04/14][311/795] Time 1.812 Data 1.729 Loss 430092.5016 (avg:15594.1908) lr 0.005000
Epoch: [04/14][321/795] Time 1.687 Data 1.628 Loss 370054.5408 (avg:15607.1129) lr 0.005000
Epoch: [04/14][331/795] Time 1.865 Data 1.780 Loss 451546.6939 (avg:15636.1742) lr 0.005000
Epoch: [04/14][341/795] Time 1.845 Data 1.722 Loss 504468.0137 (avg:15685.3815) lr 0.005000
Epoch: [04/14][351/795] Time 1.708 Data 1.647 Loss 332548.8724 (avg:15671.0200) lr 0.005000
Epoch: [04/14][361/795] Time 1.810 Data 1.725 Loss 347256.8899 (avg:15650.0316) lr 0.005000
Epoch: [04/14][371/795] Time 1.757 Data 1.672 Loss 318102.2567 (avg:15675.3298) lr 0.005000
Epoch: [04/14][381/795] Time 1.921 Data 1.841 Loss 486434.5900 (avg:15679.9593) lr 0.005000
Epoch: [04/14][391/795] Time 1.825 Data 1.765 Loss 420879.9441 (avg:15691.8793) lr 0.005000
Epoch: [04/14][401/795] Time 1.836 Data 1.731 Loss 362383.5099 (avg:15707.7143) lr 0.005000
Epoch: [04/14][411/795] Time 1.572 Data 1.448 Loss 274770.0561 (avg:15718.8214) lr 0.005000
Epoch: [04/14][421/795] Time 1.821 Data 1.735 Loss 428815.3133 (avg:15737.6905) lr 0.005000
Epoch: [04/14][431/795] Time 1.804 Data 1.742 Loss 440216.9766 (avg:15752.0106) lr 0.005000
Epoch: [04/14][441/795] Time 1.653 Data 1.568 Loss 355277.3638 (avg:15776.8437) lr 0.005000
Epoch: [04/14][451/795] Time 1.605 Data 1.499 Loss 269938.5083 (avg:15783.0295) lr 0.005000
Epoch: [04/14][461/795] Time 1.659 Data 1.533 Loss 344920.5575 (avg:15777.1833) lr 0.005000
Epoch: [04/14][471/795] Time 1.854 Data 1.790 Loss 426567.3605 (avg:15759.3874) lr 0.005000
Epoch: [04/14][481/795] Time 1.643 Data 1.522 Loss 353633.5112 (avg:15787.1344) lr 0.005000
Epoch: [04/14][491/795] Time 1.506 Data 1.445 Loss 263270.9793 (avg:15781.7857) lr 0.005000
Epoch: [04/14][501/795] Time 1.642 Data 1.538 Loss 352873.0647 (avg:15807.8019) lr 0.005000
Epoch: [04/14][511/795] Time 1.738 Data 1.679 Loss 408237.4653 (avg:15822.2878) lr 0.005000
Epoch: [04/14][521/795] Time 1.694 Data 1.606 Loss 390444.0557 (avg:15816.7305) lr 0.005000
Epoch: [04/14][531/795] Time 1.694 Data 1.611 Loss 335648.6131 (avg:15788.4052) lr 0.005000
Epoch: [04/14][541/795] Time 1.679 Data 1.576 Loss 354039.3278 (avg:15786.2288) lr 0.005000
Epoch: [04/14][551/795] Time 1.621 Data 1.562 Loss 361150.6531 (avg:15784.4213) lr 0.005000
Epoch: [04/14][561/795] Time 1.708 Data 1.600 Loss 425658.5496 (avg:15796.8265) lr 0.005000
Epoch: [04/14][571/795] Time 1.541 Data 1.461 Loss 289652.7655 (avg:15782.3026) lr 0.005000
Epoch: [04/14][581/795] Time 1.806 Data 1.691 Loss 395209.7440 (avg:15800.2832) lr 0.005000
Epoch: [04/14][591/795] Time 1.584 Data 1.524 Loss 351245.7162 (avg:15818.9743) lr 0.005000
Epoch: [04/14][601/795] Time 1.765 Data 1.642 Loss 314816.0691 (avg:15818.3999) lr 0.005000
Epoch: [04/14][611/795] Time 1.863 Data 1.778 Loss 445037.4587 (avg:15783.0992) lr 0.005000
Epoch: [04/14][621/795] Time 1.688 Data 1.582 Loss 313688.9722 (avg:15793.3543) lr 0.005000
Epoch: [04/14][631/795] Time 1.838 Data 1.712 Loss 425359.3800 (avg:15828.3393) lr 0.005000
Epoch: [04/14][641/795] Time 1.687 Data 1.584 Loss 313025.2178 (avg:15838.7438) lr 0.005000
Epoch: [04/14][651/795] Time 1.776 Data 1.653 Loss 406769.8135 (avg:15848.8203) lr 0.005000
Epoch: [04/14][661/795] Time 1.941 Data 1.882 Loss 440286.6253 (avg:15862.4131) lr 0.005000
Epoch: [04/14][671/795] Time 1.716 Data 1.657 Loss 342579.9764 (avg:15852.6116) lr 0.005000
Epoch: [04/14][681/795] Time 1.659 Data 1.597 Loss 333877.9573 (avg:15856.0902) lr 0.005000
Epoch: [04/14][691/795] Time 1.773 Data 1.705 Loss 328596.1460 (avg:15873.1250) lr 0.005000
Epoch: [04/14][701/795] Time 1.857 Data 1.774 Loss 411045.5779 (avg:15874.8705) lr 0.005000
Epoch: [04/14][711/795] Time 1.764 Data 1.657 Loss 271220.2093 (avg:15859.2835) lr 0.005000
Epoch: [04/14][721/795] Time 1.702 Data 1.599 Loss 364699.2527 (avg:15859.1337) lr 0.005000
Epoch: [04/14][731/795] Time 1.816 Data 1.690 Loss 372746.7769 (avg:15881.7985) lr 0.005000
Epoch: [04/14][741/795] Time 1.660 Data 1.602 Loss 349941.8674 (avg:15856.0052) lr 0.005000
Epoch: [04/14][751/795] Time 1.799 Data 1.739 Loss 474247.2209 (avg:15875.3272) lr 0.005000
Epoch: [04/14][761/795] Time 1.802 Data 1.699 Loss 471251.4779 (avg:15853.0833) lr 0.005000
Epoch: [04/14][771/795] Time 1.948 Data 1.845 Loss 501437.5006 (avg:15864.2833) lr 0.005000
Epoch: [04/14][781/795] Time 1.703 Data 1.615 Loss 387919.0780 (avg:15878.4309) lr 0.005000
Epoch: [04/14][791/795] Time 1.836 Data 1.711 Loss 438423.8024 (avg:15880.8900) lr 0.005000
Epoch: [05/14][001/795] Time 1.945 Data 1.857 Loss 283400.8146 (avg:11808.3673) lr 0.005000
Epoch: [05/14][011/795] Time 1.728 Data 1.636 Loss 373194.1964 (avg:15101.0924) lr 0.005000
Epoch: [05/14][021/795] Time 1.835 Data 1.710 Loss 357672.5048 (avg:15405.6985) lr 0.005000
Epoch: [05/14][031/795] Time 1.658 Data 1.594 Loss 326733.0193 (avg:15669.8753) lr 0.005000
Epoch: [05/14][041/795] Time 1.856 Data 1.745 Loss 437775.4801 (avg:16258.5937) lr 0.005000
Epoch: [05/14][051/795] Time 1.874 Data 1.745 Loss 418178.3966 (avg:16091.6191) lr 0.005000
Epoch: [05/14][061/795] Time 1.844 Data 1.722 Loss 382539.4188 (avg:16113.5179) lr 0.005000
Epoch: [05/14][071/795] Time 1.739 Data 1.679 Loss 327072.8882 (avg:16085.3742) lr 0.005000
Epoch: [05/14][081/795] Time 1.755 Data 1.632 Loss 396141.8816 (avg:16126.0460) lr 0.005000
Epoch: [05/14][091/795] Time 1.669 Data 1.595 Loss 405137.3132 (avg:16175.1511) lr 0.005000
Epoch: [05/14][101/795] Time 1.646 Data 1.538 Loss 342167.9100 (avg:16173.6991) lr 0.005000
Epoch: [05/14][111/795] Time 1.698 Data 1.595 Loss 322044.9534 (avg:16214.2617) lr 0.005000
Epoch: [05/14][121/795] Time 1.589 Data 1.474 Loss 372172.9650 (avg:16172.2827) lr 0.005000
Epoch: [05/14][131/795] Time 1.773 Data 1.676 Loss 359041.2844 (avg:16120.8327) lr 0.005000
Epoch: [05/14][141/795] Time 1.673 Data 1.591 Loss 323200.4094 (avg:16142.9355) lr 0.005000
Epoch: [05/14][151/795] Time 1.653 Data 1.559 Loss 368038.8681 (avg:16198.5194) lr 0.005000
Epoch: [05/14][161/795] Time 1.722 Data 1.646 Loss 326811.6615 (avg:16185.5954) lr 0.005000
Epoch: [05/14][171/795] Time 1.669 Data 1.604 Loss 318320.9574 (avg:16071.7799) lr 0.005000
Epoch: [05/14][181/795] Time 1.759 Data 1.683 Loss 420803.7585 (avg:16131.3061) lr 0.005000
Epoch: [05/14][191/795] Time 1.455 Data 1.381 Loss 307650.5189 (avg:16029.6466) lr 0.005000
Epoch: [05/14][201/795] Time 1.603 Data 1.551 Loss 346799.1842 (avg:15991.9419) lr 0.005000
Epoch: [05/14][211/795] Time 1.804 Data 1.725 Loss 441606.8265 (avg:16033.9784) lr 0.005000
Epoch: [05/14][221/795] Time 1.856 Data 1.794 Loss 448963.5555 (avg:15957.5248) lr 0.005000
Epoch: [05/14][231/795] Time 1.864 Data 1.763 Loss 445631.5289 (avg:15984.9846) lr 0.005000
Epoch: [05/14][241/795] Time 1.584 Data 1.492 Loss 242614.0221 (avg:15991.0073) lr 0.005000
Epoch: [05/14][251/795] Time 1.712 Data 1.652 Loss 306398.9574 (avg:16011.8787) lr 0.005000
Epoch: [05/14][261/795] Time 1.898 Data 1.795 Loss 326738.8925 (avg:16024.6649) lr 0.005000
Epoch: [05/14][271/795] Time 1.875 Data 1.753 Loss 451456.0674 (avg:16069.0698) lr 0.005000
Epoch: [05/14][281/795] Time 1.886 Data 1.782 Loss 434594.8405 (avg:16012.5116) lr 0.005000
Epoch: [05/14][291/795] Time 1.786 Data 1.727 Loss 319696.5619 (avg:16003.5883) lr 0.005000
Epoch: [05/14][301/795] Time 1.762 Data 1.702 Loss 369360.7054 (avg:15979.1641) lr 0.005000
Epoch: [05/14][311/795] Time 1.670 Data 1.612 Loss 363656.1508 (avg:15969.7666) lr 0.005000
Epoch: [05/14][321/795] Time 1.598 Data 1.534 Loss 323890.6697 (avg:15956.1915) lr 0.005000
Epoch: [05/14][331/795] Time 1.933 Data 1.832 Loss 485683.2217 (avg:15979.8414) lr 0.005000
Epoch: [05/14][341/795] Time 1.788 Data 1.666 Loss 361095.1970 (avg:15989.1321) lr 0.005000
Epoch: [05/14][351/795] Time 1.964 Data 1.904 Loss 460727.7168 (avg:15962.3331) lr 0.005000
Epoch: [05/14][361/795] Time 1.786 Data 1.680 Loss 340534.6985 (avg:15963.8420) lr 0.005000
Epoch: [05/14][371/795] Time 1.680 Data 1.617 Loss 294472.7092 (avg:15934.5303) lr 0.005000
Epoch: [05/14][381/795] Time 1.803 Data 1.720 Loss 309327.3734 (avg:15918.6893) lr 0.005000
Epoch: [05/14][391/795] Time 1.733 Data 1.622 Loss 420046.0093 (avg:15921.0700) lr 0.005000
Epoch: [05/14][401/795] Time 1.626 Data 1.552 Loss 326786.1285 (avg:15901.3412) lr 0.005000
Epoch: [05/14][411/795] Time 1.654 Data 1.550 Loss 353359.4592 (avg:15868.6961) lr 0.005000
Epoch: [05/14][421/795] Time 1.702 Data 1.622 Loss 368360.5388 (avg:15843.5033) lr 0.005000
Epoch: [05/14][431/795] Time 1.691 Data 1.602 Loss 334634.0065 (avg:15808.8375) lr 0.005000
Epoch: [05/14][441/795] Time 1.755 Data 1.676 Loss 370506.0444 (avg:15768.8486) lr 0.005000
Epoch: [05/14][451/795] Time 1.367 Data 1.293 Loss 221799.3255 (avg:15742.4413) lr 0.005000
Epoch: [05/14][461/795] Time 1.786 Data 1.661 Loss 341801.2885 (avg:15718.7763) lr 0.005000
Epoch: [05/14][471/795] Time 1.893 Data 1.768 Loss 342159.9981 (avg:15746.0710) lr 0.005000
Epoch: [05/14][481/795] Time 1.624 Data 1.500 Loss 301736.1172 (avg:15713.2691) lr 0.005000
Epoch: [05/14][491/795] Time 1.602 Data 1.550 Loss 454401.7912 (avg:15687.8439) lr 0.005000
Epoch: [05/14][501/795] Time 1.421 Data 1.372 Loss 257579.2081 (avg:15678.1511) lr 0.005000
Epoch: [05/14][511/795] Time 1.487 Data 1.412 Loss 332624.4189 (avg:15663.5350) lr 0.005000
Epoch: [05/14][521/795] Time 1.646 Data 1.594 Loss 432234.0125 (avg:15715.8826) lr 0.005000
Epoch: [05/14][531/795] Time 1.678 Data 1.583 Loss 407689.4668 (avg:15722.4995) lr 0.005000
Epoch: [05/14][541/795] Time 1.820 Data 1.706 Loss 450914.9554 (avg:15745.4260) lr 0.005000
Epoch: [05/14][551/795] Time 1.693 Data 1.644 Loss 360439.8793 (avg:15738.9774) lr 0.005000
Epoch: [05/14][561/795] Time 1.821 Data 1.768 Loss 456792.6643 (avg:15755.0271) lr 0.005000
Epoch: [05/14][571/795] Time 1.638 Data 1.543 Loss 406476.1108 (avg:15769.0764) lr 0.005000
Epoch: [05/14][581/795] Time 1.721 Data 1.617 Loss 396234.5976 (avg:15766.6276) lr 0.005000
Epoch: [05/14][591/795] Time 2.054 Data 1.947 Loss 517771.7175 (avg:15773.2180) lr 0.005000
Epoch: [05/14][601/795] Time 1.746 Data 1.620 Loss 311513.6600 (avg:15769.3875) lr 0.005000
Epoch: [05/14][611/795] Time 1.874 Data 1.770 Loss 457345.7028 (avg:15768.4509) lr 0.005000
Epoch: [05/14][621/795] Time 1.620 Data 1.557 Loss 328160.2804 (avg:15798.2882) lr 0.005000
Epoch: [05/14][631/795] Time 1.839 Data 1.715 Loss 417801.4412 (avg:15793.0852) lr 0.005000
Epoch: [05/14][641/795] Time 1.864 Data 1.779 Loss 336166.1049 (avg:15774.8593) lr 0.005000
Epoch: [05/14][651/795] Time 2.026 Data 1.903 Loss 559870.5614 (avg:15814.8263) lr 0.005000
Epoch: [05/14][661/795] Time 1.610 Data 1.531 Loss 283713.3355 (avg:15800.4665) lr 0.005000
Epoch: [05/14][671/795] Time 1.857 Data 1.792 Loss 398615.3945 (avg:15810.7992) lr 0.005000
Epoch: [05/14][681/795] Time 1.873 Data 1.813 Loss 423922.8997 (avg:15824.3481) lr 0.005000
Epoch: [05/14][691/795] Time 1.719 Data 1.656 Loss 328981.5246 (avg:15813.0448) lr 0.005000
Epoch: [05/14][701/795] Time 1.875 Data 1.789 Loss 446958.4178 (avg:15814.9010) lr 0.005000
Epoch: [05/14][711/795] Time 1.618 Data 1.557 Loss 274924.9923 (avg:15797.6010) lr 0.005000
Epoch: [05/14][721/795] Time 1.881 Data 1.778 Loss 467430.2052 (avg:15806.2547) lr 0.005000
Epoch: [05/14][731/795] Time 1.728 Data 1.644 Loss 447675.6809 (avg:15826.6748) lr 0.005000
Epoch: [05/14][741/795] Time 1.638 Data 1.565 Loss 335566.0141 (avg:15811.8731) lr 0.005000
Epoch: [05/14][751/795] Time 1.717 Data 1.603 Loss 427633.6089 (avg:15814.3728) lr 0.005000
Epoch: [05/14][761/795] Time 1.869 Data 1.773 Loss 485123.7540 (avg:15818.4468) lr 0.005000
Epoch: [05/14][771/795] Time 1.741 Data 1.689 Loss 418859.4305 (avg:15818.9765) lr 0.005000
Epoch: [05/14][781/795] Time 1.746 Data 1.697 Loss 412796.4238 (avg:15824.8523) lr 0.005000
Epoch: [05/14][791/795] Time 1.470 Data 1.422 Loss 285261.0586 (avg:15811.5508) lr 0.005000
Epoch: [06/14][001/795] Time 1.749 Data 1.686 Loss 239216.5658 (avg:9967.3569) lr 0.005000
Epoch: [06/14][011/795] Time 1.644 Data 1.582 Loss 272205.0698 (avg:15945.3560) lr 0.005000
Epoch: [06/14][021/795] Time 1.834 Data 1.724 Loss 358405.2584 (avg:15177.1006) lr 0.005000
Epoch: [06/14][031/795] Time 1.884 Data 1.760 Loss 489841.2726 (avg:15729.0272) lr 0.005000
Epoch: [06/14][041/795] Time 1.503 Data 1.426 Loss 287969.5246 (avg:15577.6189) lr 0.005000
Epoch: [06/14][051/795] Time 1.703 Data 1.614 Loss 386913.8054 (avg:15781.9798) lr 0.005000
Epoch: [06/14][061/795] Time 1.833 Data 1.750 Loss 406902.0647 (avg:15948.0876) lr 0.005000
Epoch: [06/14][071/795] Time 1.645 Data 1.564 Loss 355345.1712 (avg:15822.1649) lr 0.005000
Epoch: [06/14][081/795] Time 1.707 Data 1.625 Loss 354171.4653 (avg:15836.7758) lr 0.005000
Epoch: [06/14][091/795] Time 1.935 Data 1.831 Loss 435871.6605 (avg:15654.9086) lr 0.005000
Epoch: [06/14][101/795] Time 1.740 Data 1.682 Loss 326902.8697 (avg:15767.1390) lr 0.005000
Epoch: [06/14][111/795] Time 1.812 Data 1.686 Loss 432901.4130 (avg:15804.5880) lr 0.005000
Epoch: [06/14][121/795] Time 1.857 Data 1.747 Loss 389411.0455 (avg:15892.4599) lr 0.005000
Epoch: [06/14][131/795] Time 1.753 Data 1.626 Loss 416198.3714 (avg:15695.6076) lr 0.005000
Epoch: [06/14][141/795] Time 1.629 Data 1.526 Loss 270747.5550 (avg:15572.3635) lr 0.005000
Epoch: [06/14][151/795] Time 1.912 Data 1.850 Loss 399522.2126 (avg:15525.2960) lr 0.005000
Epoch: [06/14][161/795] Time 1.751 Data 1.690 Loss 295182.1248 (avg:15513.5342) lr 0.005000
Epoch: [06/14][171/795] Time 1.654 Data 1.531 Loss 259759.7199 (avg:15523.2540) lr 0.005000
Epoch: [06/14][181/795] Time 1.632 Data 1.544 Loss 317937.3637 (avg:15575.7795) lr 0.005000
Epoch: [06/14][191/795] Time 1.842 Data 1.734 Loss 350771.0750 (avg:15568.1924) lr 0.005000
Epoch: [06/14][201/795] Time 1.791 Data 1.705 Loss 328998.9939 (avg:15604.5349) lr 0.005000
Epoch: [06/14][211/795] Time 1.711 Data 1.649 Loss 399307.6141 (avg:15589.2261) lr 0.005000
Epoch: [06/14][221/795] Time 1.586 Data 1.462 Loss 291970.7766 (avg:15556.2536) lr 0.005000
Epoch: [06/14][231/795] Time 1.892 Data 1.834 Loss 533227.4993 (avg:15544.6731) lr 0.005000
Epoch: [06/14][241/795] Time 1.836 Data 1.707 Loss 424345.1164 (avg:15639.8532) lr 0.005000
Epoch: [06/14][251/795] Time 1.715 Data 1.656 Loss 355340.1331 (avg:15609.4137) lr 0.005000
Epoch: [06/14][261/795] Time 1.843 Data 1.759 Loss 453910.2362 (avg:15621.1084) lr 0.005000
Epoch: [06/14][271/795] Time 1.483 Data 1.409 Loss 355992.4571 (avg:15629.1838) lr 0.005000
Epoch: [06/14][281/795] Time 1.724 Data 1.607 Loss 379156.0951 (avg:15652.9694) lr 0.005000
Epoch: [06/14][291/795] Time 1.779 Data 1.727 Loss 424909.9991 (avg:15712.9858) lr 0.005000
Epoch: [06/14][301/795] Time 1.771 Data 1.696 Loss 395129.4253 (avg:15745.6485) lr 0.005000
Epoch: [06/14][311/795] Time 1.881 Data 1.767 Loss 488478.4799 (avg:15773.8907) lr 0.005000
Epoch: [06/14][321/795] Time 1.768 Data 1.694 Loss 366392.1100 (avg:15752.0081) lr 0.005000
Epoch: [06/14][331/795] Time 1.745 Data 1.664 Loss 371643.9712 (avg:15781.5835) lr 0.005000
Epoch: [06/14][341/795] Time 1.731 Data 1.626 Loss 416924.4146 (avg:15766.5370) lr 0.005000
Epoch: [06/14][351/795] Time 1.596 Data 1.515 Loss 283942.1441 (avg:15709.2760) lr 0.005000
Epoch: [06/14][361/795] Time 1.707 Data 1.582 Loss 321868.0931 (avg:15753.5635) lr 0.005000
Epoch: [06/14][371/795] Time 1.637 Data 1.588 Loss 361990.4431 (avg:15730.6961) lr 0.005000
Epoch: [06/14][381/795] Time 1.685 Data 1.591 Loss 485979.6597 (avg:15767.9787) lr 0.005000
Epoch: [06/14][391/795] Time 1.339 Data 1.287 Loss 202460.2441 (avg:15741.4029) lr 0.005000
Epoch: [06/14][401/795] Time 1.747 Data 1.639 Loss 305122.5644 (avg:15729.9165) lr 0.005000
Epoch: [06/14][411/795] Time 1.803 Data 1.724 Loss 359408.4245 (avg:15720.9914) lr 0.005000
Epoch: [06/14][421/795] Time 1.594 Data 1.531 Loss 258656.9877 (avg:15715.1107) lr 0.005000
Epoch: [06/14][431/795] Time 1.749 Data 1.654 Loss 483351.5426 (avg:15727.4809) lr 0.005000
Epoch: [06/14][441/795] Time 1.668 Data 1.573 Loss 316229.9879 (avg:15712.2158) lr 0.005000
Epoch: [06/14][451/795] Time 1.876 Data 1.760 Loss 452898.7918 (avg:15743.3642) lr 0.005000
Epoch: [06/14][461/795] Time 1.694 Data 1.620 Loss 396691.1783 (avg:15723.1538) lr 0.005000
Epoch: [06/14][471/795] Time 1.588 Data 1.473 Loss 422828.3931 (avg:15736.8190) lr 0.005000
Epoch: [06/14][481/795] Time 1.650 Data 1.584 Loss 306367.1282 (avg:15736.2578) lr 0.005000
Epoch: [06/14][491/795] Time 1.708 Data 1.621 Loss 375612.5880 (avg:15726.9989) lr 0.005000
Epoch: [06/14][501/795] Time 1.636 Data 1.511 Loss 254112.8402 (avg:15703.7612) lr 0.005000
Epoch: [06/14][511/795] Time 1.783 Data 1.702 Loss 397445.3370 (avg:15708.3777) lr 0.005000
Epoch: [06/14][521/795] Time 1.804 Data 1.675 Loss 383704.2613 (avg:15721.3858) lr 0.005000
Epoch: [06/14][531/795] Time 1.806 Data 1.746 Loss 449552.2179 (avg:15688.8283) lr 0.005000
Epoch: [06/14][541/795] Time 1.863 Data 1.759 Loss 460095.8675 (avg:15712.3186) lr 0.005000
Epoch: [06/14][551/795] Time 1.647 Data 1.584 Loss 273280.2223 (avg:15714.2038) lr 0.005000
Epoch: [06/14][561/795] Time 1.589 Data 1.485 Loss 293461.4566 (avg:15682.2695) lr 0.005000
Epoch: [06/14][571/795] Time 1.813 Data 1.708 Loss 442411.7326 (avg:15687.0991) lr 0.005000
Epoch: [06/14][581/795] Time 1.961 Data 1.837 Loss 553064.2282 (avg:15685.9541) lr 0.005000
Epoch: [06/14][591/795] Time 1.944 Data 1.837 Loss 524313.4550 (avg:15706.1476) lr 0.005000
Epoch: [06/14][601/795] Time 1.773 Data 1.692 Loss 404975.6951 (avg:15698.8074) lr 0.005000
Epoch: [06/14][611/795] Time 1.876 Data 1.793 Loss 347965.6309 (avg:15691.7301) lr 0.005000
Epoch: [06/14][621/795] Time 1.702 Data 1.622 Loss 370399.5972 (avg:15681.6950) lr 0.005000
Epoch: [06/14][631/795] Time 2.034 Data 1.930 Loss 498095.9785 (avg:15683.9068) lr 0.005000
Epoch: [06/14][641/795] Time 1.862 Data 1.748 Loss 389744.2481 (avg:15678.2103) lr 0.005000
Epoch: [06/14][651/795] Time 1.692 Data 1.625 Loss 322969.7504 (avg:15666.4537) lr 0.005000
Epoch: [06/14][661/795] Time 1.807 Data 1.747 Loss 471746.9706 (avg:15678.5627) lr 0.005000
Epoch: [06/14][671/795] Time 1.809 Data 1.756 Loss 464156.5056 (avg:15692.5030) lr 0.005000
Epoch: [06/14][681/795] Time 1.623 Data 1.575 Loss 403385.6911 (avg:15705.4732) lr 0.005000
Epoch: [06/14][691/795] Time 1.843 Data 1.756 Loss 402520.6076 (avg:15683.0000) lr 0.005000
Epoch: [06/14][701/795] Time 1.758 Data 1.658 Loss 371903.7804 (avg:15693.1004) lr 0.005000
Epoch: [06/14][711/795] Time 1.873 Data 1.750 Loss 522005.9275 (avg:15701.4480) lr 0.005000
Epoch: [06/14][721/795] Time 1.745 Data 1.637 Loss 389227.4444 (avg:15700.8833) lr 0.005000
Epoch: [06/14][731/795] Time 1.714 Data 1.645 Loss 342085.3308 (avg:15682.4189) lr 0.005000
Epoch: [06/14][741/795] Time 1.717 Data 1.633 Loss 339712.0836 (avg:15699.4971) lr 0.005000
Epoch: [06/14][751/795] Time 1.842 Data 1.755 Loss 281603.2271 (avg:15707.2220) lr 0.005000
Epoch: [06/14][761/795] Time 1.858 Data 1.751 Loss 398455.6941 (avg:15705.6146) lr 0.005000
Epoch: [06/14][771/795] Time 1.729 Data 1.670 Loss 378277.1773 (avg:15699.5854) lr 0.005000
Epoch: [06/14][781/795] Time 1.661 Data 1.599 Loss 406380.3156 (avg:15711.6931) lr 0.005000
Epoch: [06/14][791/795] Time 1.858 Data 1.760 Loss 392506.6296 (avg:15720.9741) lr 0.005000
Epoch: [07/14][001/795] Time 1.992 Data 1.889 Loss 485311.0708 (avg:20221.2946) lr 0.005000
Epoch: [07/14][011/795] Time 1.568 Data 1.507 Loss 271187.3398 (avg:16404.1805) lr 0.005000
Epoch: [07/14][021/795] Time 1.637 Data 1.552 Loss 296632.8275 (avg:15998.6256) lr 0.005000
Epoch: [07/14][031/795] Time 1.790 Data 1.705 Loss 438668.0726 (avg:15977.0549) lr 0.005000
Epoch: [07/14][041/795] Time 1.762 Data 1.703 Loss 405795.3477 (avg:16051.8687) lr 0.005000
Epoch: [07/14][051/795] Time 1.766 Data 1.706 Loss 325149.5207 (avg:15857.4672) lr 0.005000
Epoch: [07/14][061/795] Time 1.768 Data 1.684 Loss 438266.7019 (avg:16007.0122) lr 0.005000
Epoch: [07/14][071/795] Time 1.799 Data 1.733 Loss 457820.4291 (avg:15900.0851) lr 0.005000
Epoch: [07/14][081/795] Time 1.763 Data 1.682 Loss 387435.5907 (avg:15781.3837) lr 0.005000
Epoch: [07/14][091/795] Time 1.791 Data 1.727 Loss 288501.8981 (avg:15781.7406) lr 0.005000
Epoch: [07/14][101/795] Time 1.733 Data 1.630 Loss 375451.7032 (avg:15883.7032) lr 0.005000
Epoch: [07/14][111/795] Time 1.692 Data 1.564 Loss 320426.2081 (avg:15671.4477) lr 0.005000
Epoch: [07/14][121/795] Time 1.717 Data 1.634 Loss 334623.1348 (avg:15553.3594) lr 0.005000
Epoch: [07/14][131/795] Time 1.823 Data 1.738 Loss 484346.1051 (avg:15567.4828) lr 0.005000
Epoch: [07/14][141/795] Time 1.800 Data 1.672 Loss 384609.7702 (avg:15538.9761) lr 0.005000
Epoch: [07/14][151/795] Time 1.627 Data 1.565 Loss 282755.5832 (avg:15454.8949) lr 0.005000
Epoch: [07/14][161/795] Time 1.645 Data 1.562 Loss 361194.9622 (avg:15347.7398) lr 0.005000
Epoch: [07/14][171/795] Time 1.739 Data 1.679 Loss 354890.6331 (avg:15422.6746) lr 0.005000
Epoch: [07/14][181/795] Time 1.876 Data 1.810 Loss 395770.9280 (avg:15465.3806) lr 0.005000
Epoch: [07/14][191/795] Time 1.879 Data 1.774 Loss 446592.4617 (avg:15515.9314) lr 0.005000
Epoch: [07/14][201/795] Time 1.823 Data 1.692 Loss 360337.9454 (avg:15566.9761) lr 0.005000
Epoch: [07/14][211/795] Time 1.580 Data 1.499 Loss 346438.5222 (avg:15596.4147) lr 0.005000
Epoch: [07/14][221/795] Time 1.653 Data 1.527 Loss 316203.9016 (avg:15525.5300) lr 0.005000
Epoch: [07/14][231/795] Time 1.846 Data 1.780 Loss 508974.3701 (avg:15579.2085) lr 0.005000
Epoch: [07/14][241/795] Time 1.866 Data 1.779 Loss 405832.2699 (avg:15602.1546) lr 0.005000
Epoch: [07/14][251/795] Time 1.764 Data 1.661 Loss 347583.6303 (avg:15613.5559) lr 0.005000
Epoch: [07/14][261/795] Time 1.640 Data 1.552 Loss 332039.3029 (avg:15654.8163) lr 0.005000
Epoch: [07/14][271/795] Time 1.863 Data 1.739 Loss 370380.3026 (avg:15644.6599) lr 0.005000
Epoch: [07/14][281/795] Time 1.806 Data 1.727 Loss 350633.2676 (avg:15678.3927) lr 0.005000
Epoch: [07/14][291/795] Time 1.805 Data 1.737 Loss 462918.1789 (avg:15676.0048) lr 0.005000
Epoch: [07/14][301/795] Time 1.493 Data 1.409 Loss 202629.0489 (avg:15613.4535) lr 0.005000
Epoch: [07/14][311/795] Time 1.645 Data 1.551 Loss 336744.4876 (avg:15640.4227) lr 0.005000
Epoch: [07/14][321/795] Time 1.768 Data 1.664 Loss 441682.3987 (avg:15657.5262) lr 0.005000
Epoch: [07/14][331/795] Time 1.657 Data 1.605 Loss 388118.9731 (avg:15662.5822) lr 0.005000
Epoch: [07/14][341/795] Time 1.870 Data 1.791 Loss 473702.0864 (avg:15685.7057) lr 0.005000
Epoch: [07/14][351/795] Time 1.875 Data 1.789 Loss 418641.1957 (avg:15673.2637) lr 0.005000
Epoch: [07/14][361/795] Time 1.751 Data 1.680 Loss 366509.3167 (avg:15666.0828) lr 0.005000
Epoch: [07/14][371/795] Time 1.674 Data 1.548 Loss 323305.7686 (avg:15641.1722) lr 0.005000
Epoch: [07/14][381/795] Time 1.623 Data 1.563 Loss 330747.2618 (avg:15614.2674) lr 0.005000
Epoch: [07/14][391/795] Time 1.735 Data 1.610 Loss 368852.7731 (avg:15683.1538) lr 0.005000
Epoch: [07/14][401/795] Time 1.623 Data 1.562 Loss 314707.8366 (avg:15680.7755) lr 0.005000
Epoch: [07/14][411/795] Time 1.814 Data 1.729 Loss 406579.3949 (avg:15694.5251) lr 0.005000
Epoch: [07/14][421/795] Time 1.659 Data 1.537 Loss 328603.1954 (avg:15685.5775) lr 0.005000
Epoch: [07/14][431/795] Time 1.866 Data 1.803 Loss 364159.3109 (avg:15662.6500) lr 0.005000
Epoch: [07/14][441/795] Time 1.648 Data 1.563 Loss 335573.7900 (avg:15679.4992) lr 0.005000
Epoch: [07/14][451/795] Time 1.580 Data 1.497 Loss 273371.3049 (avg:15666.0770) lr 0.005000
Epoch: [07/14][461/795] Time 1.769 Data 1.686 Loss 400487.8526 (avg:15665.1279) lr 0.005000
Epoch: [07/14][471/795] Time 1.859 Data 1.756 Loss 496898.8986 (avg:15659.1055) lr 0.005000
Epoch: [07/14][481/795] Time 1.693 Data 1.605 Loss 333438.2130 (avg:15641.2577) lr 0.005000
Epoch: [07/14][491/795] Time 1.731 Data 1.666 Loss 449860.3023 (avg:15642.5884) lr 0.005000
Epoch: [07/14][501/795] Time 1.657 Data 1.577 Loss 325747.6922 (avg:15641.6608) lr 0.005000
Epoch: [07/14][511/795] Time 1.767 Data 1.706 Loss 348733.9911 (avg:15638.6771) lr 0.005000
Epoch: [07/14][521/795] Time 1.872 Data 1.811 Loss 378004.3405 (avg:15637.4645) lr 0.005000
Epoch: [07/14][531/795] Time 1.832 Data 1.728 Loss 425416.4039 (avg:15645.0440) lr 0.005000
Epoch: [07/14][541/795] Time 2.025 Data 1.963 Loss 452845.5228 (avg:15626.4899) lr 0.005000
Epoch: [07/14][551/795] Time 1.897 Data 1.836 Loss 410897.9481 (avg:15633.3454) lr 0.005000
Epoch: [07/14][561/795] Time 1.604 Data 1.556 Loss 317487.0505 (avg:15615.6535) lr 0.005000
Epoch: [07/14][571/795] Time 1.805 Data 1.690 Loss 402035.6376 (avg:15625.8123) lr 0.005000
Epoch: [07/14][581/795] Time 1.646 Data 1.586 Loss 283764.7570 (avg:15643.4630) lr 0.005000
Epoch: [07/14][591/795] Time 1.763 Data 1.701 Loss 296220.5524 (avg:15646.1708) lr 0.005000
Epoch: [07/14][601/795] Time 1.700 Data 1.573 Loss 258674.6298 (avg:15617.4470) lr 0.005000
Epoch: [07/14][611/795] Time 1.786 Data 1.701 Loss 426030.1214 (avg:15615.6921) lr 0.005000
Epoch: [07/14][621/795] Time 1.700 Data 1.588 Loss 300063.9238 (avg:15629.6335) lr 0.005000
Epoch: [07/14][631/795] Time 1.744 Data 1.661 Loss 371175.0265 (avg:15627.9512) lr 0.005000
Epoch: [07/14][641/795] Time 1.604 Data 1.488 Loss 278375.5758 (avg:15648.1003) lr 0.005000
Epoch: [07/14][651/795] Time 1.560 Data 1.465 Loss 347158.5619 (avg:15657.9856) lr 0.005000
Epoch: [07/14][661/795] Time 1.614 Data 1.536 Loss 297114.2808 (avg:15642.6077) lr 0.005000
Epoch: [07/14][671/795] Time 1.990 Data 1.922 Loss 415617.8081 (avg:15658.4365) lr 0.005000
Epoch: [07/14][681/795] Time 1.934 Data 1.872 Loss 440212.5605 (avg:15667.5459) lr 0.005000
Epoch: [07/14][691/795] Time 1.814 Data 1.713 Loss 369656.9711 (avg:15673.6543) lr 0.005000
Epoch: [07/14][701/795] Time 1.658 Data 1.571 Loss 404150.2650 (avg:15679.5621) lr 0.005000
Epoch: [07/14][711/795] Time 1.699 Data 1.618 Loss 302859.1646 (avg:15667.4838) lr 0.005000
Epoch: [07/14][721/795] Time 1.738 Data 1.634 Loss 451120.1159 (avg:15661.3092) lr 0.005000
Epoch: [07/14][731/795] Time 1.903 Data 1.820 Loss 415895.7916 (avg:15669.5992) lr 0.005000
Epoch: [07/14][741/795] Time 1.564 Data 1.515 Loss 284267.0253 (avg:15681.1157) lr 0.005000
Epoch: [07/14][751/795] Time 1.882 Data 1.799 Loss 446135.3921 (avg:15706.4749) lr 0.005000
Epoch: [07/14][761/795] Time 1.638 Data 1.579 Loss 296004.8834 (avg:15689.6138) lr 0.005000
Epoch: [07/14][771/795] Time 1.825 Data 1.719 Loss 352563.4714 (avg:15684.3219) lr 0.005000
Epoch: [07/14][781/795] Time 1.761 Data 1.698 Loss 374592.2961 (avg:15683.0471) lr 0.005000
Epoch: [07/14][791/795] Time 1.861 Data 1.774 Loss 413885.0108 (avg:15681.7996) lr 0.005000
Epoch: [08/14][001/795] Time 2.189 Data 2.087 Loss 549916.9600 (avg:22913.2067) lr 0.000500
Epoch: [08/14][011/795] Time 1.722 Data 1.601 Loss 322567.8038 (avg:14807.5650) lr 0.000500
Epoch: [08/14][021/795] Time 1.829 Data 1.705 Loss 396712.3697 (avg:15856.7454) lr 0.000500
Epoch: [08/14][031/795] Time 1.695 Data 1.636 Loss 303372.5686 (avg:15687.7700) lr 0.000500
Epoch: [08/14][041/795] Time 1.902 Data 1.841 Loss 465096.1440 (avg:15903.7622) lr 0.000500
Epoch: [08/14][051/795] Time 1.831 Data 1.748 Loss 464424.4238 (avg:16101.6542) lr 0.000500
Epoch: [08/14][061/795] Time 1.768 Data 1.663 Loss 393078.5334 (avg:16019.8141) lr 0.000500
Epoch: [08/14][071/795] Time 1.662 Data 1.579 Loss 316484.0122 (avg:15761.9150) lr 0.000500
Epoch: [08/14][081/795] Time 1.745 Data 1.640 Loss 404471.1642 (avg:15642.4542) lr 0.000500
Epoch: [08/14][091/795] Time 1.740 Data 1.651 Loss 317958.3716 (avg:15728.3121) lr 0.000500
Epoch: [08/14][101/795] Time 1.734 Data 1.671 Loss 390064.3979 (avg:15785.2567) lr 0.000500
Epoch: [08/14][111/795] Time 1.710 Data 1.649 Loss 306402.6522 (avg:15800.9303) lr 0.000500
Epoch: [08/14][121/795] Time 1.680 Data 1.601 Loss 339223.5282 (avg:15710.7814) lr 0.000500
Epoch: [08/14][131/795] Time 1.644 Data 1.562 Loss 362480.6865 (avg:15725.1636) lr 0.000500
Epoch: [08/14][141/795] Time 1.729 Data 1.647 Loss 379088.8986 (avg:15697.6360) lr 0.000500
Epoch: [08/14][151/795] Time 1.628 Data 1.521 Loss 328982.3537 (avg:15709.9498) lr 0.000500
Epoch: [08/14][161/795] Time 1.776 Data 1.695 Loss 284457.5961 (avg:15692.2915) lr 0.000500
Epoch: [08/14][171/795] Time 1.798 Data 1.714 Loss 405283.3497 (avg:15664.6285) lr 0.000500
Epoch: [08/14][181/795] Time 2.012 Data 1.909 Loss 446894.5154 (avg:15629.4885) lr 0.000500
Epoch: [08/14][191/795] Time 1.612 Data 1.526 Loss 239446.1718 (avg:15523.3841) lr 0.000500
Epoch: [08/14][201/795] Time 1.759 Data 1.659 Loss 369966.9622 (avg:15508.7207) lr 0.000500
Epoch: [08/14][211/795] Time 1.863 Data 1.779 Loss 469092.0167 (avg:15527.2041) lr 0.000500
Epoch: [08/14][221/795] Time 1.831 Data 1.766 Loss 357491.3798 (avg:15507.1509) lr 0.000500
Epoch: [08/14][231/795] Time 1.861 Data 1.780 Loss 462475.1422 (avg:15491.9159) lr 0.000500
Epoch: [08/14][241/795] Time 1.785 Data 1.659 Loss 355256.5856 (avg:15402.1490) lr 0.000500
Epoch: [08/14][251/795] Time 1.692 Data 1.609 Loss 313459.0215 (avg:15375.3108) lr 0.000500
Epoch: [08/14][261/795] Time 1.793 Data 1.684 Loss 385077.2946 (avg:15378.0194) lr 0.000500
Epoch: [08/14][271/795] Time 1.813 Data 1.734 Loss 427642.4298 (avg:15393.2340) lr 0.000500
Epoch: [08/14][281/795] Time 1.986 Data 1.923 Loss 431427.0462 (avg:15429.8465) lr 0.000500
Epoch: [08/14][291/795] Time 1.666 Data 1.599 Loss 338521.4393 (avg:15447.2580) lr 0.000500
Epoch: [08/14][301/795] Time 1.730 Data 1.643 Loss 269105.6115 (avg:15411.6254) lr 0.000500
Epoch: [08/14][311/795] Time 1.536 Data 1.452 Loss 269121.1668 (avg:15372.1460) lr 0.000500
Epoch: [08/14][321/795] Time 1.765 Data 1.679 Loss 310528.6607 (avg:15324.3486) lr 0.000500
Epoch: [08/14][331/795] Time 1.778 Data 1.718 Loss 377945.9561 (avg:15327.4830) lr 0.000500
Epoch: [08/14][341/795] Time 1.715 Data 1.651 Loss 272410.7571 (avg:15342.2448) lr 0.000500
Epoch: [08/14][351/795] Time 1.656 Data 1.592 Loss 302282.2585 (avg:15367.9420) lr 0.000500
Epoch: [08/14][361/795] Time 1.940 Data 1.855 Loss 420856.3573 (avg:15390.4635) lr 0.000500
Epoch: [08/14][371/795] Time 1.716 Data 1.652 Loss 354875.7429 (avg:15357.9179) lr 0.000500
Epoch: [08/14][381/795] Time 1.825 Data 1.767 Loss 367599.7419 (avg:15384.0761) lr 0.000500
Epoch: [08/14][391/795] Time 1.743 Data 1.692 Loss 471272.0200 (avg:15391.8737) lr 0.000500
Epoch: [08/14][401/795] Time 1.833 Data 1.754 Loss 444444.1959 (avg:15380.9129) lr 0.000500
Epoch: [08/14][411/795] Time 1.625 Data 1.552 Loss 328213.8973 (avg:15357.8691) lr 0.000500
Epoch: [08/14][421/795] Time 1.676 Data 1.624 Loss 334458.8271 (avg:15375.9125) lr 0.000500
Epoch: [08/14][431/795] Time 1.631 Data 1.546 Loss 296771.5033 (avg:15368.4950) lr 0.000500
Epoch: [08/14][441/795] Time 1.756 Data 1.635 Loss 305539.6170 (avg:15367.1322) lr 0.000500
Epoch: [08/14][451/795] Time 1.628 Data 1.534 Loss 377671.4218 (avg:15383.3149) lr 0.000500
Epoch: [08/14][461/795] Time 1.559 Data 1.510 Loss 336515.8693 (avg:15362.8680) lr 0.000500
Epoch: [08/14][471/795] Time 1.715 Data 1.608 Loss 320268.9229 (avg:15357.4066) lr 0.000500
Epoch: [08/14][481/795] Time 1.655 Data 1.592 Loss 248379.1965 (avg:15351.6587) lr 0.000500
Epoch: [08/14][491/795] Time 1.544 Data 1.471 Loss 279930.8296 (avg:15312.3468) lr 0.000500
Epoch: [08/14][501/795] Time 1.567 Data 1.516 Loss 374968.4775 (avg:15293.7335) lr 0.000500
Epoch: [08/14][511/795] Time 1.631 Data 1.583 Loss 341006.1444 (avg:15284.5846) lr 0.000500
Epoch: [08/14][521/795] Time 1.464 Data 1.414 Loss 272188.9144 (avg:15252.0096) lr 0.000500
Epoch: [08/14][531/795] Time 1.497 Data 1.422 Loss 314968.9008 (avg:15230.5115) lr 0.000500
Epoch: [08/14][541/795] Time 1.822 Data 1.773 Loss 471291.0034 (avg:15239.2732) lr 0.000500
Epoch: [08/14][551/795] Time 1.584 Data 1.510 Loss 378379.1922 (avg:15226.5938) lr 0.000500
Epoch: [08/14][561/795] Time 1.619 Data 1.545 Loss 395481.8490 (avg:15209.1159) lr 0.000500
Epoch: [08/14][571/795] Time 1.519 Data 1.468 Loss 261537.4295 (avg:15199.5080) lr 0.000500
Epoch: [08/14][581/795] Time 1.504 Data 1.453 Loss 310334.1921 (avg:15199.6608) lr 0.000500
Epoch: [08/14][591/795] Time 1.655 Data 1.603 Loss 325800.5738 (avg:15200.6055) lr 0.000500
Epoch: [08/14][601/795] Time 1.878 Data 1.752 Loss 384773.8844 (avg:15210.2859) lr 0.000500
Epoch: [08/14][611/795] Time 1.485 Data 1.434 Loss 304572.7856 (avg:15221.4040) lr 0.000500
Epoch: [08/14][621/795] Time 1.675 Data 1.582 Loss 421155.9019 (avg:15188.3110) lr 0.000500
Epoch: [08/14][631/795] Time 1.791 Data 1.740 Loss 465245.0757 (avg:15202.7339) lr 0.000500
Epoch: [08/14][641/795] Time 1.927 Data 1.803 Loss 455133.3896 (avg:15207.3863) lr 0.000500
Epoch: [08/14][651/795] Time 1.822 Data 1.761 Loss 390449.0785 (avg:15214.8561) lr 0.000500
Epoch: [08/14][661/795] Time 1.650 Data 1.590 Loss 325326.0068 (avg:15223.9488) lr 0.000500
Epoch: [08/14][671/795] Time 1.718 Data 1.636 Loss 328317.7392 (avg:15222.3488) lr 0.000500
Epoch: [08/14][681/795] Time 1.751 Data 1.692 Loss 383052.3130 (avg:15226.2084) lr 0.000500
Epoch: [08/14][691/795] Time 1.706 Data 1.581 Loss 338647.6892 (avg:15234.8768) lr 0.000500
Epoch: [08/14][701/795] Time 1.775 Data 1.693 Loss 449375.5195 (avg:15242.2467) lr 0.000500
Epoch: [08/14][711/795] Time 1.910 Data 1.829 Loss 418636.4331 (avg:15230.8193) lr 0.000500
Epoch: [08/14][721/795] Time 1.667 Data 1.604 Loss 391955.2227 (avg:15221.0036) lr 0.000500
Epoch: [08/14][731/795] Time 1.708 Data 1.620 Loss 333336.8980 (avg:15201.2074) lr 0.000500
Epoch: [08/14][741/795] Time 1.871 Data 1.768 Loss 554553.0784 (avg:15222.4145) lr 0.000500
Epoch: [08/14][751/795] Time 1.904 Data 1.802 Loss 392999.8134 (avg:15232.6457) lr 0.000500
Epoch: [08/14][761/795] Time 1.854 Data 1.730 Loss 413318.2485 (avg:15245.9452) lr 0.000500
Epoch: [08/14][771/795] Time 1.693 Data 1.635 Loss 223554.5775 (avg:15233.7460) lr 0.000500
Epoch: [08/14][781/795] Time 1.695 Data 1.610 Loss 399546.2788 (avg:15243.2432) lr 0.000500
Epoch: [08/14][791/795] Time 1.828 Data 1.723 Loss 386086.8936 (avg:15251.5887) lr 0.000500
Epoch: [09/14][001/795] Time 1.910 Data 1.844 Loss 409646.3132 (avg:17068.5964) lr 0.000500
Epoch: [09/14][011/795] Time 1.728 Data 1.644 Loss 371690.6715 (avg:16698.0717) lr 0.000500
Epoch: [09/14][021/795] Time 1.719 Data 1.615 Loss 354331.1986 (avg:15748.5853) lr 0.000500
Epoch: [09/14][031/795] Time 1.550 Data 1.435 Loss 291134.1317 (avg:15544.4668) lr 0.000500
Epoch: [09/14][041/795] Time 1.835 Data 1.719 Loss 458494.6088 (avg:15279.6459) lr 0.000500
Epoch: [09/14][051/795] Time 1.640 Data 1.523 Loss 335478.4503 (avg:15416.5800) lr 0.000500
Epoch: [09/14][061/795] Time 1.841 Data 1.779 Loss 444245.6067 (avg:15368.5506) lr 0.000500
Epoch: [09/14][071/795] Time 1.707 Data 1.627 Loss 327568.3482 (avg:15340.3600) lr 0.000500
Epoch: [09/14][081/795] Time 1.700 Data 1.612 Loss 346967.4060 (avg:15478.3382) lr 0.000500
Epoch: [09/14][091/795] Time 1.641 Data 1.558 Loss 255188.4232 (avg:15343.6169) lr 0.000500
Epoch: [09/14][101/795] Time 1.871 Data 1.801 Loss 438055.3723 (avg:15298.2847) lr 0.000500
Epoch: [09/14][111/795] Time 1.943 Data 1.855 Loss 466517.9261 (avg:15323.2360) lr 0.000500
Epoch: [09/14][121/795] Time 1.717 Data 1.660 Loss 386137.7184 (avg:15264.3397) lr 0.000500
Epoch: [09/14][131/795] Time 1.807 Data 1.681 Loss 396037.1714 (avg:15166.5251) lr 0.000500
Epoch: [09/14][141/795] Time 1.897 Data 1.810 Loss 410260.8938 (avg:15281.9673) lr 0.000500
Epoch: [09/14][151/795] Time 1.889 Data 1.764 Loss 391103.1941 (avg:15361.1848) lr 0.000500
Epoch: [09/14][161/795] Time 1.733 Data 1.648 Loss 348271.7962 (avg:15293.1061) lr 0.000500
Epoch: [09/14][171/795] Time 1.744 Data 1.656 Loss 384922.7487 (avg:15281.5568) lr 0.000500
Epoch: [09/14][181/795] Time 1.736 Data 1.657 Loss 370534.2774 (avg:15251.9321) lr 0.000500
Epoch: [09/14][191/795] Time 1.727 Data 1.665 Loss 364100.4174 (avg:15297.6165) lr 0.000500
Epoch: [09/14][201/795] Time 1.697 Data 1.592 Loss 312022.9445 (avg:15311.0091) lr 0.000500
Epoch: [09/14][211/795] Time 1.547 Data 1.464 Loss 240143.5585 (avg:15326.7245) lr 0.000500
Epoch: [09/14][221/795] Time 1.605 Data 1.542 Loss 325898.7128 (avg:15262.2453) lr 0.000500
Epoch: [09/14][231/795] Time 1.747 Data 1.624 Loss 336683.0797 (avg:15220.0817) lr 0.000500
Epoch: [09/14][241/795] Time 1.683 Data 1.620 Loss 377178.6742 (avg:15239.5909) lr 0.000500
Epoch: [09/14][251/795] Time 1.782 Data 1.675 Loss 407477.1934 (avg:15232.6347) lr 0.000500
Epoch: [09/14][261/795] Time 1.806 Data 1.721 Loss 472781.3412 (avg:15248.1459) lr 0.000500
Epoch: [09/14][271/795] Time 1.714 Data 1.592 Loss 339358.9404 (avg:15270.5649) lr 0.000500
Epoch: [09/14][281/795] Time 1.726 Data 1.641 Loss 332623.5457 (avg:15254.1868) lr 0.000500
Epoch: [09/14][291/795] Time 1.730 Data 1.643 Loss 350308.5051 (avg:15236.5789) lr 0.000500
Epoch: [09/14][301/795] Time 1.759 Data 1.634 Loss 278083.3627 (avg:15236.0050) lr 0.000500
Epoch: [09/14][311/795] Time 1.735 Data 1.671 Loss 320099.9731 (avg:15207.0167) lr 0.000500
Epoch: [09/14][321/795] Time 1.653 Data 1.569 Loss 285735.0895 (avg:15201.4159) lr 0.000500
Epoch: [09/14][331/795] Time 1.933 Data 1.829 Loss 384747.5635 (avg:15177.5977) lr 0.000500
Epoch: [09/14][341/795] Time 1.854 Data 1.784 Loss 398085.3893 (avg:15159.4651) lr 0.000500
Epoch: [09/14][351/795] Time 1.855 Data 1.782 Loss 404476.6865 (avg:15157.2788) lr 0.000500
Epoch: [09/14][361/795] Time 1.740 Data 1.656 Loss 398771.6779 (avg:15123.4570) lr 0.000500
Epoch: [09/14][371/795] Time 1.800 Data 1.714 Loss 425145.0848 (avg:15164.2133) lr 0.000500
Epoch: [09/14][381/795] Time 1.595 Data 1.534 Loss 285472.8085 (avg:15171.6097) lr 0.000500
Epoch: [09/14][391/795] Time 1.589 Data 1.529 Loss 314894.3672 (avg:15151.6314) lr 0.000500
Epoch: [09/14][401/795] Time 1.747 Data 1.663 Loss 347233.1736 (avg:15147.0441) lr 0.000500
Epoch: [09/14][411/795] Time 1.856 Data 1.794 Loss 408337.2648 (avg:15138.8508) lr 0.000500
Epoch: [09/14][421/795] Time 1.607 Data 1.501 Loss 283004.5320 (avg:15113.2854) lr 0.000500
Epoch: [09/14][431/795] Time 1.641 Data 1.575 Loss 270464.3055 (avg:15124.9992) lr 0.000500
Epoch: [09/14][441/795] Time 1.505 Data 1.423 Loss 270190.1862 (avg:15111.5554) lr 0.000500
Epoch: [09/14][451/795] Time 1.762 Data 1.638 Loss 303827.5601 (avg:15131.1344) lr 0.000500
Epoch: [09/14][461/795] Time 1.713 Data 1.640 Loss 449844.6954 (avg:15166.7833) lr 0.000500
Epoch: [09/14][471/795] Time 1.631 Data 1.582 Loss 376969.3890 (avg:15134.5733) lr 0.000500
Epoch: [09/14][481/795] Time 1.521 Data 1.447 Loss 281141.8859 (avg:15119.9166) lr 0.000500
Epoch: [09/14][491/795] Time 1.467 Data 1.392 Loss 235059.6974 (avg:15117.2031) lr 0.000500
Epoch: [09/14][501/795] Time 1.613 Data 1.562 Loss 340397.8143 (avg:15131.2484) lr 0.000500
Epoch: [09/14][511/795] Time 1.758 Data 1.683 Loss 411940.3108 (avg:15160.9043) lr 0.000500
Epoch: [09/14][521/795] Time 1.516 Data 1.464 Loss 298815.8486 (avg:15144.5093) lr 0.000500
Epoch: [09/14][531/795] Time 1.644 Data 1.529 Loss 315087.4657 (avg:15129.7693) lr 0.000500
Epoch: [09/14][541/795] Time 1.771 Data 1.723 Loss 428495.2994 (avg:15138.0018) lr 0.000500
Epoch: [09/14][551/795] Time 1.790 Data 1.686 Loss 385193.2775 (avg:15102.8895) lr 0.000500
Epoch: [09/14][561/795] Time 1.825 Data 1.702 Loss 393617.9482 (avg:15099.9006) lr 0.000500
Epoch: [09/14][571/795] Time 1.501 Data 1.452 Loss 293549.8225 (avg:15078.5417) lr 0.000500
Epoch: [09/14][581/795] Time 1.646 Data 1.586 Loss 315796.4118 (avg:15075.1615) lr 0.000500
Epoch: [09/14][591/795] Time 1.713 Data 1.623 Loss 392625.1119 (avg:15117.9200) lr 0.000500
Epoch: [09/14][601/795] Time 1.707 Data 1.624 Loss 340394.8157 (avg:15130.1417) lr 0.000500
Epoch: [09/14][611/795] Time 1.609 Data 1.482 Loss 303776.3699 (avg:15119.6207) lr 0.000500
Epoch: [09/14][621/795] Time 1.776 Data 1.691 Loss 324415.0595 (avg:15117.6786) lr 0.000500
Epoch: [09/14][631/795] Time 1.843 Data 1.738 Loss 447680.4877 (avg:15126.1200) lr 0.000500
Epoch: [09/14][641/795] Time 1.615 Data 1.520 Loss 326846.9144 (avg:15105.5473) lr 0.000500
Epoch: [09/14][651/795] Time 1.554 Data 1.503 Loss 280414.3542 (avg:15098.5599) lr 0.000500
Epoch: [09/14][661/795] Time 1.578 Data 1.503 Loss 320216.2019 (avg:15091.6931) lr 0.000500
Epoch: [09/14][671/795] Time 1.729 Data 1.677 Loss 361127.0710 (avg:15102.2522) lr 0.000500
Epoch: [09/14][681/795] Time 1.717 Data 1.622 Loss 329805.3001 (avg:15108.7654) lr 0.000500
Epoch: [09/14][691/795] Time 1.916 Data 1.832 Loss 440019.7550 (avg:15133.1481) lr 0.000500
Epoch: [09/14][701/795] Time 1.701 Data 1.641 Loss 313938.2961 (avg:15127.6565) lr 0.000500
Epoch: [09/14][711/795] Time 1.915 Data 1.849 Loss 497452.5567 (avg:15155.5937) lr 0.000500
Epoch: [09/14][721/795] Time 2.075 Data 1.972 Loss 445700.3902 (avg:15163.8040) lr 0.000500
Epoch: [09/14][731/795] Time 1.693 Data 1.583 Loss 282211.1595 (avg:15161.0007) lr 0.000500
Epoch: [09/14][741/795] Time 1.569 Data 1.487 Loss 247741.7204 (avg:15146.8244) lr 0.000500
Epoch: [09/14][751/795] Time 1.923 Data 1.862 Loss 467671.6594 (avg:15134.9977) lr 0.000500
Epoch: [09/14][761/795] Time 1.706 Data 1.644 Loss 335336.0118 (avg:15139.7829) lr 0.000500
Epoch: [09/14][771/795] Time 1.874 Data 1.751 Loss 408541.0592 (avg:15138.3107) lr 0.000500
Epoch: [09/14][781/795] Time 1.788 Data 1.688 Loss 324701.3223 (avg:15137.9053) lr 0.000500
Epoch: [09/14][791/795] Time 1.835 Data 1.712 Loss 381253.3131 (avg:15155.7164) lr 0.000500
Epoch: [10/14][001/795] Time 1.895 Data 1.835 Loss 350387.5955 (avg:14599.4831) lr 0.000500
Epoch: [10/14][011/795] Time 1.697 Data 1.641 Loss 325722.8583 (avg:15080.8240) lr 0.000500
Epoch: [10/14][021/795] Time 1.731 Data 1.627 Loss 376943.4004 (avg:15504.5219) lr 0.000500
Epoch: [10/14][031/795] Time 1.807 Data 1.725 Loss 373304.2589 (avg:15409.0416) lr 0.000500
Epoch: [10/14][041/795] Time 1.803 Data 1.678 Loss 302402.1365 (avg:15541.6669) lr 0.000500
Epoch: [10/14][051/795] Time 1.817 Data 1.756 Loss 321978.2987 (avg:15295.8794) lr 0.000500
Epoch: [10/14][061/795] Time 1.637 Data 1.512 Loss 315044.6205 (avg:15377.6328) lr 0.000500
Epoch: [10/14][071/795] Time 1.754 Data 1.672 Loss 393097.1058 (avg:15392.7291) lr 0.000500
Epoch: [10/14][081/795] Time 1.748 Data 1.645 Loss 325233.9185 (avg:15506.4367) lr 0.000500
Epoch: [10/14][091/795] Time 1.571 Data 1.512 Loss 262824.5897 (avg:15349.4410) lr 0.000500
Epoch: [10/14][101/795] Time 1.823 Data 1.759 Loss 458321.3396 (avg:15303.4837) lr 0.000500
Epoch: [10/14][111/795] Time 1.787 Data 1.701 Loss 362854.8514 (avg:15364.5122) lr 0.000500
Epoch: [10/14][121/795] Time 1.772 Data 1.665 Loss 381647.2785 (avg:15412.3405) lr 0.000500
Epoch: [10/14][131/795] Time 1.854 Data 1.792 Loss 371596.6347 (avg:15360.6100) lr 0.000500
Epoch: [10/14][141/795] Time 1.569 Data 1.447 Loss 316965.5522 (avg:15357.3922) lr 0.000500
Epoch: [10/14][151/795] Time 1.735 Data 1.669 Loss 333669.9267 (avg:15276.9767) lr 0.000500
Epoch: [10/14][161/795] Time 1.773 Data 1.709 Loss 324840.9227 (avg:15216.8256) lr 0.000500
Epoch: [10/14][171/795] Time 1.710 Data 1.646 Loss 322356.5391 (avg:15143.4436) lr 0.000500
Epoch: [10/14][181/795] Time 1.560 Data 1.455 Loss 259892.0230 (avg:15118.3541) lr 0.000500
Epoch: [10/14][191/795] Time 1.797 Data 1.671 Loss 397173.5375 (avg:15109.1915) lr 0.000500
Epoch: [10/14][201/795] Time 1.623 Data 1.539 Loss 284362.9713 (avg:15026.3377) lr 0.000500
Epoch: [10/14][211/795] Time 1.694 Data 1.629 Loss 333999.7853 (avg:15007.8667) lr 0.000500
Epoch: [10/14][221/795] Time 1.671 Data 1.604 Loss 308336.7563 (avg:15084.8525) lr 0.000500
Epoch: [10/14][231/795] Time 1.553 Data 1.470 Loss 301443.7165 (avg:15010.6211) lr 0.000500
Epoch: [10/14][241/795] Time 1.780 Data 1.719 Loss 380465.2935 (avg:15027.4392) lr 0.000500
Epoch: [10/14][251/795] Time 1.650 Data 1.548 Loss 289215.0595 (avg:14950.5685) lr 0.000500
Epoch: [10/14][261/795] Time 2.008 Data 1.906 Loss 476512.7330 (avg:15005.7457) lr 0.000500
Epoch: [10/14][271/795] Time 1.821 Data 1.727 Loss 448942.0059 (avg:15045.0779) lr 0.000500
Epoch: [10/14][281/795] Time 1.650 Data 1.544 Loss 344424.6387 (avg:15055.6499) lr 0.000500
Epoch: [10/14][291/795] Time 1.721 Data 1.664 Loss 362685.6170 (avg:15114.9341) lr 0.000500
Epoch: [10/14][301/795] Time 1.872 Data 1.812 Loss 481586.2166 (avg:15151.0370) lr 0.000500
Epoch: [10/14][311/795] Time 1.790 Data 1.732 Loss 386146.2858 (avg:15173.2841) lr 0.000500
Epoch: [10/14][321/795] Time 1.751 Data 1.687 Loss 383223.4487 (avg:15227.2718) lr 0.000500
Epoch: [10/14][331/795] Time 1.694 Data 1.579 Loss 400779.5011 (avg:15292.2197) lr 0.000500
Epoch: [10/14][341/795] Time 1.703 Data 1.621 Loss 363109.8307 (avg:15280.6605) lr 0.000500
Epoch: [10/14][351/795] Time 1.698 Data 1.632 Loss 331169.2217 (avg:15272.7618) lr 0.000500
Epoch: [10/14][361/795] Time 1.460 Data 1.408 Loss 293760.2296 (avg:15257.2150) lr 0.000500
Epoch: [10/14][371/795] Time 1.611 Data 1.517 Loss 355200.1474 (avg:15253.4955) lr 0.000500
Epoch: [10/14][381/795] Time 1.706 Data 1.619 Loss 290732.4236 (avg:15218.3070) lr 0.000500
Epoch: [10/14][391/795] Time 1.640 Data 1.552 Loss 299675.7702 (avg:15190.7381) lr 0.000500
Epoch: [10/14][401/795] Time 1.569 Data 1.496 Loss 308896.8931 (avg:15192.8840) lr 0.000500
Epoch: [10/14][411/795] Time 1.944 Data 1.870 Loss 500868.4000 (avg:15195.4593) lr 0.000500
Epoch: [10/14][421/795] Time 1.543 Data 1.494 Loss 273327.2384 (avg:15203.9011) lr 0.000500
Epoch: [10/14][431/795] Time 1.628 Data 1.579 Loss 369289.6601 (avg:15223.3235) lr 0.000500
Epoch: [10/14][441/795] Time 1.630 Data 1.581 Loss 374393.6773 (avg:15202.0523) lr 0.000500
Epoch: [10/14][451/795] Time 1.922 Data 1.797 Loss 407505.3008 (avg:15212.0157) lr 0.000500
Epoch: [10/14][461/795] Time 1.853 Data 1.725 Loss 371645.9307 (avg:15204.9066) lr 0.000500
Epoch: [10/14][471/795] Time 1.891 Data 1.768 Loss 367333.1703 (avg:15181.9586) lr 0.000500
Epoch: [10/14][481/795] Time 1.672 Data 1.602 Loss 285871.6568 (avg:15177.9293) lr 0.000500
Epoch: [10/14][491/795] Time 1.721 Data 1.641 Loss 410504.5385 (avg:15171.2390) lr 0.000500
Epoch: [10/14][501/795] Time 1.670 Data 1.582 Loss 311792.4642 (avg:15175.4990) lr 0.000500
Epoch: [10/14][511/795] Time 1.750 Data 1.668 Loss 290547.6503 (avg:15171.0300) lr 0.000500
Epoch: [10/14][521/795] Time 1.566 Data 1.479 Loss 244068.7106 (avg:15158.5472) lr 0.000500
Epoch: [10/14][531/795] Time 1.867 Data 1.763 Loss 381151.0126 (avg:15165.0184) lr 0.000500
Epoch: [10/14][541/795] Time 1.841 Data 1.722 Loss 445151.1869 (avg:15159.7607) lr 0.000500
Epoch: [10/14][551/795] Time 1.743 Data 1.616 Loss 329229.0771 (avg:15158.6732) lr 0.000500
Epoch: [10/14][561/795] Time 1.701 Data 1.636 Loss 287738.7729 (avg:15148.7985) lr 0.000500
Epoch: [10/14][571/795] Time 1.823 Data 1.720 Loss 402423.2842 (avg:15147.2680) lr 0.000500
Epoch: [10/14][581/795] Time 1.801 Data 1.675 Loss 421373.4613 (avg:15125.0825) lr 0.000500
Epoch: [10/14][591/795] Time 1.890 Data 1.763 Loss 458501.1231 (avg:15134.5875) lr 0.000500
Epoch: [10/14][601/795] Time 1.735 Data 1.650 Loss 357069.3286 (avg:15145.7668) lr 0.000500
Epoch: [10/14][611/795] Time 1.870 Data 1.805 Loss 432627.0970 (avg:15118.0089) lr 0.000500
Epoch: [10/14][621/795] Time 1.588 Data 1.473 Loss 297477.3508 (avg:15125.2786) lr 0.000500
Epoch: [10/14][631/795] Time 1.821 Data 1.734 Loss 411341.9428 (avg:15125.4636) lr 0.000500
Epoch: [10/14][641/795] Time 1.611 Data 1.521 Loss 314088.9318 (avg:15120.9505) lr 0.000500
Epoch: [10/14][651/795] Time 1.778 Data 1.718 Loss 302239.1379 (avg:15102.4629) lr 0.000500
Epoch: [10/14][661/795] Time 1.889 Data 1.805 Loss 426860.9125 (avg:15105.0359) lr 0.000500
Epoch: [10/14][671/795] Time 1.819 Data 1.700 Loss 358221.6407 (avg:15096.4044) lr 0.000500
Epoch: [10/14][681/795] Time 1.898 Data 1.817 Loss 402816.5544 (avg:15099.2358) lr 0.000500
Epoch: [10/14][691/795] Time 1.608 Data 1.547 Loss 345878.1946 (avg:15088.0382) lr 0.000500
Epoch: [10/14][701/795] Time 1.716 Data 1.617 Loss 373384.0140 (avg:15096.8727) lr 0.000500
Epoch: [10/14][711/795] Time 1.682 Data 1.619 Loss 287669.4635 (avg:15088.5015) lr 0.000500
Epoch: [10/14][721/795] Time 1.740 Data 1.657 Loss 325614.6152 (avg:15086.4889) lr 0.000500
Epoch: [10/14][731/795] Time 1.936 Data 1.811 Loss 426767.4646 (avg:15086.7904) lr 0.000500
Epoch: [10/14][741/795] Time 1.851 Data 1.791 Loss 338630.2332 (avg:15085.0316) lr 0.000500
Epoch: [10/14][751/795] Time 1.752 Data 1.664 Loss 343328.3568 (avg:15082.5781) lr 0.000500
Epoch: [10/14][761/795] Time 1.693 Data 1.631 Loss 309003.4624 (avg:15079.9000) lr 0.000500
Epoch: [10/14][771/795] Time 1.885 Data 1.762 Loss 334131.2455 (avg:15082.8178) lr 0.000500
Epoch: [10/14][781/795] Time 1.669 Data 1.621 Loss 391564.1880 (avg:15097.7388) lr 0.000500
Epoch: [10/14][791/795] Time 1.635 Data 1.560 Loss 378582.7101 (avg:15100.7375) lr 0.000500
Epoch: [11/14][001/795] Time 2.069 Data 1.953 Loss 399677.7629 (avg:16653.2401) lr 0.000500
Epoch: [11/14][011/795] Time 1.608 Data 1.559 Loss 383970.9146 (avg:14587.2131) lr 0.000500
Epoch: [11/14][021/795] Time 2.031 Data 1.946 Loss 533156.5979 (avg:14782.7178) lr 0.000500
Epoch: [11/14][031/795] Time 1.660 Data 1.580 Loss 285376.2618 (avg:15007.2298) lr 0.000500
Epoch: [11/14][041/795] Time 1.766 Data 1.691 Loss 319976.9296 (avg:15009.6015) lr 0.000500
Epoch: [11/14][051/795] Time 1.763 Data 1.712 Loss 402009.1430 (avg:15179.6269) lr 0.000500
Epoch: [11/14][061/795] Time 1.767 Data 1.651 Loss 400981.6989 (avg:15178.1789) lr 0.000500
Epoch: [11/14][071/795] Time 1.626 Data 1.511 Loss 385791.8481 (avg:15237.8277) lr 0.000500
Epoch: [11/14][081/795] Time 1.603 Data 1.528 Loss 352078.3714 (avg:15248.9466) lr 0.000500
Epoch: [11/14][091/795] Time 1.680 Data 1.629 Loss 380363.6156 (avg:15366.2230) lr 0.000500
Epoch: [11/14][101/795] Time 1.649 Data 1.533 Loss 396551.2654 (avg:15350.1977) lr 0.000500
Epoch: [11/14][111/795] Time 1.470 Data 1.396 Loss 252290.5043 (avg:15348.0204) lr 0.000500
Epoch: [11/14][121/795] Time 1.536 Data 1.443 Loss 303824.5475 (avg:15299.2999) lr 0.000500
Epoch: [11/14][131/795] Time 1.681 Data 1.607 Loss 346961.3463 (avg:15340.9120) lr 0.000500
Epoch: [11/14][141/795] Time 1.635 Data 1.562 Loss 326881.4705 (avg:15395.3453) lr 0.000500
Epoch: [11/14][151/795] Time 1.576 Data 1.482 Loss 302649.2371 (avg:15324.9622) lr 0.000500
Epoch: [11/14][161/795] Time 1.765 Data 1.714 Loss 503631.0220 (avg:15356.8475) lr 0.000500
Epoch: [11/14][171/795] Time 1.653 Data 1.579 Loss 434182.9660 (avg:15377.2087) lr 0.000500
Epoch: [11/14][181/795] Time 1.668 Data 1.617 Loss 348470.5691 (avg:15420.9622) lr 0.000500
Epoch: [11/14][191/795] Time 1.989 Data 1.904 Loss 502860.7113 (avg:15442.2962) lr 0.000500
Epoch: [11/14][201/795] Time 1.918 Data 1.795 Loss 457244.3808 (avg:15432.6640) lr 0.000500
Epoch: [11/14][211/795] Time 1.855 Data 1.749 Loss 377806.8500 (avg:15438.4583) lr 0.000500
Epoch: [11/14][221/795] Time 1.693 Data 1.591 Loss 393244.4999 (avg:15322.0276) lr 0.000500
Epoch: [11/14][231/795] Time 1.767 Data 1.643 Loss 322245.9162 (avg:15267.9365) lr 0.000500
Epoch: [11/14][241/795] Time 1.760 Data 1.632 Loss 278981.9802 (avg:15192.8586) lr 0.000500
Epoch: [11/14][251/795] Time 1.870 Data 1.805 Loss 401119.5035 (avg:15203.0815) lr 0.000500
Epoch: [11/14][261/795] Time 1.670 Data 1.582 Loss 296772.4454 (avg:15164.9516) lr 0.000500
Epoch: [11/14][271/795] Time 1.749 Data 1.666 Loss 296151.9581 (avg:15129.5843) lr 0.000500
Epoch: [11/14][281/795] Time 1.597 Data 1.517 Loss 263382.4409 (avg:15055.3422) lr 0.000500
Epoch: [11/14][291/795] Time 1.882 Data 1.821 Loss 371614.1714 (avg:15101.6099) lr 0.000500
Epoch: [11/14][301/795] Time 1.664 Data 1.582 Loss 389073.4239 (avg:15061.9570) lr 0.000500
Epoch: [11/14][311/795] Time 1.730 Data 1.669 Loss 371829.2030 (avg:15046.8668) lr 0.000500
Epoch: [11/14][321/795] Time 1.587 Data 1.539 Loss 307612.4993 (avg:15051.4215) lr 0.000500
Epoch: [11/14][331/795] Time 1.650 Data 1.598 Loss 370168.8388 (avg:15002.2457) lr 0.000500
Epoch: [11/14][341/795] Time 1.606 Data 1.558 Loss 344195.8170 (avg:14977.0344) lr 0.000500
Epoch: [11/14][351/795] Time 1.564 Data 1.489 Loss 319729.4539 (avg:14969.9109) lr 0.000500
Epoch: [11/14][361/795] Time 1.589 Data 1.474 Loss 326999.1358 (avg:14978.6107) lr 0.000500
Epoch: [11/14][371/795] Time 1.636 Data 1.561 Loss 348159.6005 (avg:15005.5509) lr 0.000500
Epoch: [11/14][381/795] Time 1.604 Data 1.556 Loss 339312.3727 (avg:15003.6286) lr 0.000500
Epoch: [11/14][391/795] Time 1.599 Data 1.551 Loss 308156.7940 (avg:14938.5762) lr 0.000500
Epoch: [11/14][401/795] Time 1.644 Data 1.529 Loss 355101.7802 (avg:14924.4157) lr 0.000500
Epoch: [11/14][411/795] Time 1.676 Data 1.562 Loss 435818.7772 (avg:14953.6344) lr 0.000500
Epoch: [11/14][421/795] Time 1.618 Data 1.532 Loss 218264.8930 (avg:14960.0779) lr 0.000500
Epoch: [11/14][431/795] Time 1.765 Data 1.682 Loss 374606.3911 (avg:14964.9000) lr 0.000500
Epoch: [11/14][441/795] Time 1.644 Data 1.593 Loss 360233.6380 (avg:14967.8182) lr 0.000500
Epoch: [11/14][451/795] Time 1.799 Data 1.717 Loss 406362.7749 (avg:14977.1904) lr 0.000500
Epoch: [11/14][461/795] Time 1.703 Data 1.620 Loss 305651.7956 (avg:14995.4051) lr 0.000500
Epoch: [11/14][471/795] Time 1.750 Data 1.665 Loss 322384.3616 (avg:15012.2902) lr 0.000500
Epoch: [11/14][481/795] Time 1.784 Data 1.735 Loss 433772.3896 (avg:15015.4812) lr 0.000500
Epoch: [11/14][491/795] Time 1.711 Data 1.611 Loss 371860.6391 (avg:15010.6637) lr 0.000500
Epoch: [11/14][501/795] Time 1.778 Data 1.677 Loss 379666.9987 (avg:15011.6904) lr 0.000500
Epoch: [11/14][511/795] Time 1.698 Data 1.623 Loss 347830.9110 (avg:15028.7049) lr 0.000500
Epoch: [11/14][521/795] Time 1.938 Data 1.813 Loss 383311.8348 (avg:15039.3746) lr 0.000500
Epoch: [11/14][531/795] Time 1.954 Data 1.847 Loss 392781.4342 (avg:15020.9700) lr 0.000500
Epoch: [11/14][541/795] Time 1.729 Data 1.665 Loss 321866.4609 (avg:15010.1441) lr 0.000500
Epoch: [11/14][551/795] Time 1.817 Data 1.691 Loss 384443.3318 (avg:15012.7329) lr 0.000500
Epoch: [11/14][561/795] Time 1.876 Data 1.753 Loss 419620.8685 (avg:15021.8645) lr 0.000500
Epoch: [11/14][571/795] Time 1.655 Data 1.556 Loss 291431.3041 (avg:15009.0886) lr 0.000500
Epoch: [11/14][581/795] Time 1.931 Data 1.874 Loss 377976.4947 (avg:15016.9521) lr 0.000500
Epoch: [11/14][591/795] Time 1.727 Data 1.642 Loss 308166.7974 (avg:14994.9902) lr 0.000500
Epoch: [11/14][601/795] Time 1.753 Data 1.695 Loss 344719.7923 (avg:14997.2302) lr 0.000500
Epoch: [11/14][611/795] Time 1.815 Data 1.751 Loss 417722.3910 (avg:14990.7778) lr 0.000500
Epoch: [11/14][621/795] Time 1.837 Data 1.715 Loss 416111.1691 (avg:14994.3165) lr 0.000500
Epoch: [11/14][631/795] Time 1.759 Data 1.680 Loss 356715.6897 (avg:15013.4567) lr 0.000500
Epoch: [11/14][641/795] Time 1.608 Data 1.533 Loss 314468.6446 (avg:15019.6571) lr 0.000500
Epoch: [11/14][651/795] Time 1.885 Data 1.801 Loss 466963.3755 (avg:15016.9757) lr 0.000500
Epoch: [11/14][661/795] Time 1.800 Data 1.719 Loss 381416.6715 (avg:15041.5341) lr 0.000500
Epoch: [11/14][671/795] Time 1.734 Data 1.631 Loss 399870.3913 (avg:15049.1121) lr 0.000500
Epoch: [11/14][681/795] Time 1.923 Data 1.835 Loss 476488.1395 (avg:15041.9568) lr 0.000500
Epoch: [11/14][691/795] Time 1.988 Data 1.883 Loss 545661.5449 (avg:15055.9715) lr 0.000500
Epoch: [11/14][701/795] Time 1.747 Data 1.686 Loss 342850.7295 (avg:15083.5565) lr 0.000500
Epoch: [11/14][711/795] Time 1.708 Data 1.645 Loss 360835.5412 (avg:15064.4539) lr 0.000500
Epoch: [11/14][721/795] Time 1.800 Data 1.716 Loss 454298.2133 (avg:15073.3234) lr 0.000500
Epoch: [11/14][731/795] Time 1.833 Data 1.774 Loss 339784.8932 (avg:15057.5576) lr 0.000500
Epoch: [11/14][741/795] Time 1.839 Data 1.773 Loss 367832.2499 (avg:15051.9981) lr 0.000500
Epoch: [11/14][751/795] Time 1.826 Data 1.736 Loss 343039.3501 (avg:15072.1187) lr 0.000500
Epoch: [11/14][761/795] Time 1.805 Data 1.745 Loss 393134.9755 (avg:15055.2353) lr 0.000500
Epoch: [11/14][771/795] Time 1.630 Data 1.552 Loss 319030.0757 (avg:15052.5653) lr 0.000500
Epoch: [11/14][781/795] Time 1.897 Data 1.811 Loss 362342.4937 (avg:15058.3396) lr 0.000500
Epoch: [11/14][791/795] Time 1.814 Data 1.687 Loss 376102.5612 (avg:15047.6052) lr 0.000500
Epoch: [12/14][001/795] Time 1.912 Data 1.807 Loss 293494.2722 (avg:12228.9280) lr 0.000050
Epoch: [12/14][011/795] Time 1.802 Data 1.697 Loss 408532.4512 (avg:15571.6770) lr 0.000050
Epoch: [12/14][021/795] Time 1.761 Data 1.704 Loss 381178.1898 (avg:15926.8080) lr 0.000050
Epoch: [12/14][031/795] Time 1.770 Data 1.695 Loss 367934.2620 (avg:16171.6862) lr 0.000050
Epoch: [12/14][041/795] Time 1.850 Data 1.728 Loss 363268.7048 (avg:15695.1289) lr 0.000050
Epoch: [12/14][051/795] Time 1.495 Data 1.446 Loss 243017.7176 (avg:15281.6276) lr 0.000050
Epoch: [12/14][061/795] Time 2.036 Data 1.987 Loss 508208.8843 (avg:15330.3761) lr 0.000050
Epoch: [12/14][071/795] Time 1.613 Data 1.519 Loss 400821.5041 (avg:15264.0873) lr 0.000050
Epoch: [12/14][081/795] Time 1.745 Data 1.640 Loss 327673.4483 (avg:15138.5248) lr 0.000050
Epoch: [12/14][091/795] Time 1.702 Data 1.644 Loss 321070.5845 (avg:14979.7504) lr 0.000050
Epoch: [12/14][101/795] Time 1.783 Data 1.719 Loss 376642.6302 (avg:14967.3621) lr 0.000050
Epoch: [12/14][111/795] Time 1.860 Data 1.754 Loss 358609.2874 (avg:14975.2433) lr 0.000050
Epoch: [12/14][121/795] Time 1.897 Data 1.806 Loss 410372.1501 (avg:15083.7249) lr 0.000050
Epoch: [12/14][131/795] Time 1.727 Data 1.662 Loss 331910.0811 (avg:15016.6049) lr 0.000050
Epoch: [12/14][141/795] Time 1.569 Data 1.488 Loss 267786.7746 (avg:14968.9682) lr 0.000050
Epoch: [12/14][151/795] Time 1.773 Data 1.671 Loss 434648.9285 (avg:15006.4538) lr 0.000050
Epoch: [12/14][161/795] Time 1.676 Data 1.551 Loss 299405.9293 (avg:14999.2960) lr 0.000050
Epoch: [12/14][171/795] Time 1.733 Data 1.647 Loss 330451.2747 (avg:15057.7252) lr 0.000050
Epoch: [12/14][181/795] Time 1.802 Data 1.733 Loss 379314.2647 (avg:15016.1287) lr 0.000050
Epoch: [12/14][191/795] Time 1.781 Data 1.707 Loss 416138.0798 (avg:14964.5019) lr 0.000050
Epoch: [12/14][201/795] Time 1.822 Data 1.701 Loss 439096.9160 (avg:14981.0489) lr 0.000050
Epoch: [12/14][211/795] Time 1.848 Data 1.719 Loss 460191.9127 (avg:15021.8886) lr 0.000050
Epoch: [12/14][221/795] Time 1.618 Data 1.555 Loss 248316.1696 (avg:15036.8370) lr 0.000050