forked from mhamdan91/circles-detector
-
Notifications
You must be signed in to change notification settings - Fork 0
/
output.txt
9000 lines (9000 loc) · 647 KB
/
output.txt
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
Time_lapsed (hr:mm:ss) --> 00:00:02, Epoch: 1, Training loss: 7.1250267
Time_lapsed (hr:mm:ss) --> 00:00:03, Epoch: 1, Training loss: 7.2122784
Time_lapsed (hr:mm:ss) --> 00:00:05, Epoch: 1, Training loss: 5.6804304
Time_lapsed (hr:mm:ss) --> 00:00:07, Epoch: 1, Training loss: 6.1368194
Time_lapsed (hr:mm:ss) --> 00:00:09, Epoch: 1, Training loss: 7.8187914
Time_lapsed (hr:mm:ss) --> 00:00:11, Epoch: 1, Training loss: 6.922145
Time_lapsed (hr:mm:ss) --> 00:00:13, Epoch: 1, Training loss: 5.677598
Time_lapsed (hr:mm:ss) --> 00:00:14, Epoch: 1, Training loss: 6.57544
Time_lapsed (hr:mm:ss) --> 00:00:16, Epoch: 1, Training loss: 7.1897936
Time_lapsed (hr:mm:ss) --> 00:00:20, Epoch: 2, Training loss: 5.6390824
Time_lapsed (hr:mm:ss) --> 00:00:22, Epoch: 2, Training loss: 7.5379357
Time_lapsed (hr:mm:ss) --> 00:00:24, Epoch: 2, Training loss: 5.7608576
Time_lapsed (hr:mm:ss) --> 00:00:25, Epoch: 2, Training loss: 7.586787
Time_lapsed (hr:mm:ss) --> 00:00:27, Epoch: 2, Training loss: 5.960319
Time_lapsed (hr:mm:ss) --> 00:00:29, Epoch: 2, Training loss: 6.3893003
Time_lapsed (hr:mm:ss) --> 00:00:31, Epoch: 2, Training loss: 5.9208984
Time_lapsed (hr:mm:ss) --> 00:00:33, Epoch: 2, Training loss: 7.4504085
Time_lapsed (hr:mm:ss) --> 00:00:35, Epoch: 2, Training loss: 5.8080487
Time_lapsed (hr:mm:ss) --> 00:00:38, Epoch: 3, Training loss: 6.686942
Time_lapsed (hr:mm:ss) --> 00:00:40, Epoch: 3, Training loss: 7.0632677
Time_lapsed (hr:mm:ss) --> 00:00:42, Epoch: 3, Training loss: 5.6349397
Time_lapsed (hr:mm:ss) --> 00:00:44, Epoch: 3, Training loss: 6.8877892
Time_lapsed (hr:mm:ss) --> 00:00:46, Epoch: 3, Training loss: 6.026676
Time_lapsed (hr:mm:ss) --> 00:00:47, Epoch: 3, Training loss: 6.0594983
Time_lapsed (hr:mm:ss) --> 00:00:49, Epoch: 3, Training loss: 5.7509117
Time_lapsed (hr:mm:ss) --> 00:00:51, Epoch: 3, Training loss: 5.570077
Time_lapsed (hr:mm:ss) --> 00:00:53, Epoch: 3, Training loss: 6.3156962
Time_lapsed (hr:mm:ss) --> 00:00:57, Epoch: 4, Training loss: 6.4773235
Time_lapsed (hr:mm:ss) --> 00:00:58, Epoch: 4, Training loss: 6.9546814
Time_lapsed (hr:mm:ss) --> 00:01:00, Epoch: 4, Training loss: 5.847084
Time_lapsed (hr:mm:ss) --> 00:01:02, Epoch: 4, Training loss: 6.621759
Time_lapsed (hr:mm:ss) --> 00:01:04, Epoch: 4, Training loss: 6.0646667
Time_lapsed (hr:mm:ss) --> 00:01:06, Epoch: 4, Training loss: 5.466592
Time_lapsed (hr:mm:ss) --> 00:01:08, Epoch: 4, Training loss: 5.2940474
Time_lapsed (hr:mm:ss) --> 00:01:09, Epoch: 4, Training loss: 6.197113
Time_lapsed (hr:mm:ss) --> 00:01:11, Epoch: 4, Training loss: 5.62048
Time_lapsed (hr:mm:ss) --> 00:01:15, Epoch: 5, Training loss: 4.9340463
Time_lapsed (hr:mm:ss) --> 00:01:17, Epoch: 5, Training loss: 6.463049
Time_lapsed (hr:mm:ss) --> 00:01:19, Epoch: 5, Training loss: 4.6767073
Time_lapsed (hr:mm:ss) --> 00:01:20, Epoch: 5, Training loss: 7.035241
Time_lapsed (hr:mm:ss) --> 00:01:22, Epoch: 5, Training loss: 5.869614
Time_lapsed (hr:mm:ss) --> 00:01:24, Epoch: 5, Training loss: 5.877704
Time_lapsed (hr:mm:ss) --> 00:01:26, Epoch: 5, Training loss: 5.4934697
Time_lapsed (hr:mm:ss) --> 00:01:28, Epoch: 5, Training loss: 5.8814135
Time_lapsed (hr:mm:ss) --> 00:01:30, Epoch: 5, Training loss: 4.894508
Time_lapsed (hr:mm:ss) --> 00:01:33, Epoch: 6, Training loss: 6.3466735
Time_lapsed (hr:mm:ss) --> 00:01:35, Epoch: 6, Training loss: 6.189312
Time_lapsed (hr:mm:ss) --> 00:01:37, Epoch: 6, Training loss: 5.981657
Time_lapsed (hr:mm:ss) --> 00:01:39, Epoch: 6, Training loss: 5.452318
Time_lapsed (hr:mm:ss) --> 00:01:41, Epoch: 6, Training loss: 6.3139324
Time_lapsed (hr:mm:ss) --> 00:01:43, Epoch: 6, Training loss: 5.83222
Time_lapsed (hr:mm:ss) --> 00:01:44, Epoch: 6, Training loss: 5.353054
Time_lapsed (hr:mm:ss) --> 00:01:46, Epoch: 6, Training loss: 6.1716566
Time_lapsed (hr:mm:ss) --> 00:01:48, Epoch: 6, Training loss: 6.250347
Time_lapsed (hr:mm:ss) --> 00:01:52, Epoch: 7, Training loss: 5.5557756
Time_lapsed (hr:mm:ss) --> 00:01:54, Epoch: 7, Training loss: 6.652377
Time_lapsed (hr:mm:ss) --> 00:01:55, Epoch: 7, Training loss: 4.9991317
Time_lapsed (hr:mm:ss) --> 00:01:57, Epoch: 7, Training loss: 5.1701493
Time_lapsed (hr:mm:ss) --> 00:01:59, Epoch: 7, Training loss: 5.6606627
Time_lapsed (hr:mm:ss) --> 00:02:01, Epoch: 7, Training loss: 5.643707
Time_lapsed (hr:mm:ss) --> 00:02:03, Epoch: 7, Training loss: 4.8248873
Time_lapsed (hr:mm:ss) --> 00:02:05, Epoch: 7, Training loss: 6.587431
Time_lapsed (hr:mm:ss) --> 00:02:06, Epoch: 7, Training loss: 5.3813424
Time_lapsed (hr:mm:ss) --> 00:02:10, Epoch: 8, Training loss: 5.574629
Time_lapsed (hr:mm:ss) --> 00:02:12, Epoch: 8, Training loss: 5.97259
Time_lapsed (hr:mm:ss) --> 00:02:14, Epoch: 8, Training loss: 5.537351
Time_lapsed (hr:mm:ss) --> 00:02:16, Epoch: 8, Training loss: 5.265102
Time_lapsed (hr:mm:ss) --> 00:02:18, Epoch: 8, Training loss: 6.1934624
Time_lapsed (hr:mm:ss) --> 00:02:19, Epoch: 8, Training loss: 6.1401634
Time_lapsed (hr:mm:ss) --> 00:02:21, Epoch: 8, Training loss: 5.24896
Time_lapsed (hr:mm:ss) --> 00:02:23, Epoch: 8, Training loss: 5.7235928
Time_lapsed (hr:mm:ss) --> 00:02:25, Epoch: 8, Training loss: 5.866697
Time_lapsed (hr:mm:ss) --> 00:02:29, Epoch: 9, Training loss: 5.719923
Time_lapsed (hr:mm:ss) --> 00:02:30, Epoch: 9, Training loss: 6.544195
Time_lapsed (hr:mm:ss) --> 00:02:32, Epoch: 9, Training loss: 5.2092423
Time_lapsed (hr:mm:ss) --> 00:02:34, Epoch: 9, Training loss: 5.3843336
Time_lapsed (hr:mm:ss) --> 00:02:36, Epoch: 9, Training loss: 6.2245216
Time_lapsed (hr:mm:ss) --> 00:02:38, Epoch: 9, Training loss: 6.260753
Time_lapsed (hr:mm:ss) --> 00:02:40, Epoch: 9, Training loss: 5.530833
Time_lapsed (hr:mm:ss) --> 00:02:41, Epoch: 9, Training loss: 6.104239
Time_lapsed (hr:mm:ss) --> 00:02:43, Epoch: 9, Training loss: 5.52293
Time_lapsed (hr:mm:ss) --> 00:02:47, Epoch: 10, Training loss: 6.0887923
Time_lapsed (hr:mm:ss) --> 00:02:49, Epoch: 10, Training loss: 6.541737
Time_lapsed (hr:mm:ss) --> 00:02:51, Epoch: 10, Training loss: 5.956242
Time_lapsed (hr:mm:ss) --> 00:02:52, Epoch: 10, Training loss: 5.6990924
Time_lapsed (hr:mm:ss) --> 00:02:54, Epoch: 10, Training loss: 4.6000743
Time_lapsed (hr:mm:ss) --> 00:02:56, Epoch: 10, Training loss: 6.252687
Time_lapsed (hr:mm:ss) --> 00:02:58, Epoch: 10, Training loss: 4.5592246
Time_lapsed (hr:mm:ss) --> 00:03:00, Epoch: 10, Training loss: 6.1148505
Time_lapsed (hr:mm:ss) --> 00:03:02, Epoch: 10, Training loss: 5.373861
Time_lapsed (hr:mm:ss) --> 00:03:05, Epoch: 11, Training loss: 5.326067
Time_lapsed (hr:mm:ss) --> 00:03:07, Epoch: 11, Training loss: 6.1230145
Time_lapsed (hr:mm:ss) --> 00:03:09, Epoch: 11, Training loss: 5.0036345
Time_lapsed (hr:mm:ss) --> 00:03:11, Epoch: 11, Training loss: 6.7912846
Time_lapsed (hr:mm:ss) --> 00:03:13, Epoch: 11, Training loss: 5.6529894
Time_lapsed (hr:mm:ss) --> 00:03:15, Epoch: 11, Training loss: 6.049051
Time_lapsed (hr:mm:ss) --> 00:03:16, Epoch: 11, Training loss: 4.686306
Time_lapsed (hr:mm:ss) --> 00:03:18, Epoch: 11, Training loss: 6.1667743
Time_lapsed (hr:mm:ss) --> 00:03:20, Epoch: 11, Training loss: 4.879679
Time_lapsed (hr:mm:ss) --> 00:03:24, Epoch: 12, Training loss: 6.5680118
Time_lapsed (hr:mm:ss) --> 00:03:26, Epoch: 12, Training loss: 5.7364316
Time_lapsed (hr:mm:ss) --> 00:03:27, Epoch: 12, Training loss: 5.428058
Time_lapsed (hr:mm:ss) --> 00:03:29, Epoch: 12, Training loss: 5.3188734
Time_lapsed (hr:mm:ss) --> 00:03:31, Epoch: 12, Training loss: 5.8093824
Time_lapsed (hr:mm:ss) --> 00:03:33, Epoch: 12, Training loss: 5.801573
Time_lapsed (hr:mm:ss) --> 00:03:35, Epoch: 12, Training loss: 4.9983826
Time_lapsed (hr:mm:ss) --> 00:03:37, Epoch: 12, Training loss: 6.490524
Time_lapsed (hr:mm:ss) --> 00:03:38, Epoch: 12, Training loss: 5.583437
Time_lapsed (hr:mm:ss) --> 00:03:42, Epoch: 13, Training loss: 5.585046
Time_lapsed (hr:mm:ss) --> 00:03:44, Epoch: 13, Training loss: 6.4513483
Time_lapsed (hr:mm:ss) --> 00:03:46, Epoch: 13, Training loss: 5.1018553
Time_lapsed (hr:mm:ss) --> 00:03:48, Epoch: 13, Training loss: 5.3333554
Time_lapsed (hr:mm:ss) --> 00:03:50, Epoch: 13, Training loss: 5.615299
Time_lapsed (hr:mm:ss) --> 00:03:51, Epoch: 13, Training loss: 5.7190795
Time_lapsed (hr:mm:ss) --> 00:03:53, Epoch: 13, Training loss: 5.122143
Time_lapsed (hr:mm:ss) --> 00:03:55, Epoch: 13, Training loss: 5.844605
Time_lapsed (hr:mm:ss) --> 00:03:57, Epoch: 13, Training loss: 4.496611
Time_lapsed (hr:mm:ss) --> 00:04:01, Epoch: 14, Training loss: 6.2352214
Time_lapsed (hr:mm:ss) --> 00:04:02, Epoch: 14, Training loss: 5.616811
Time_lapsed (hr:mm:ss) --> 00:04:04, Epoch: 14, Training loss: 5.094248
Time_lapsed (hr:mm:ss) --> 00:04:06, Epoch: 14, Training loss: 5.658066
Time_lapsed (hr:mm:ss) --> 00:04:08, Epoch: 14, Training loss: 5.4479456
Time_lapsed (hr:mm:ss) --> 00:04:10, Epoch: 14, Training loss: 6.305803
Time_lapsed (hr:mm:ss) --> 00:04:12, Epoch: 14, Training loss: 5.0002265
Time_lapsed (hr:mm:ss) --> 00:04:13, Epoch: 14, Training loss: 6.7358885
Time_lapsed (hr:mm:ss) --> 00:04:15, Epoch: 14, Training loss: 4.9595394
Time_lapsed (hr:mm:ss) --> 00:04:19, Epoch: 15, Training loss: 5.530074
Time_lapsed (hr:mm:ss) --> 00:04:21, Epoch: 15, Training loss: 5.669286
Time_lapsed (hr:mm:ss) --> 00:04:23, Epoch: 15, Training loss: 5.7600164
Time_lapsed (hr:mm:ss) --> 00:04:24, Epoch: 15, Training loss: 5.1799
Time_lapsed (hr:mm:ss) --> 00:04:26, Epoch: 15, Training loss: 5.280953
Time_lapsed (hr:mm:ss) --> 00:04:28, Epoch: 15, Training loss: 5.765756
Time_lapsed (hr:mm:ss) --> 00:04:30, Epoch: 15, Training loss: 5.008004
Time_lapsed (hr:mm:ss) --> 00:04:32, Epoch: 15, Training loss: 6.116523
Time_lapsed (hr:mm:ss) --> 00:04:34, Epoch: 15, Training loss: 5.9828296
Time_lapsed (hr:mm:ss) --> 00:04:37, Epoch: 16, Training loss: 5.6305065
Time_lapsed (hr:mm:ss) --> 00:04:39, Epoch: 16, Training loss: 5.3174105
Time_lapsed (hr:mm:ss) --> 00:04:41, Epoch: 16, Training loss: 5.4579225
Time_lapsed (hr:mm:ss) --> 00:04:43, Epoch: 16, Training loss: 4.558378
Time_lapsed (hr:mm:ss) --> 00:04:45, Epoch: 16, Training loss: 5.2824726
Time_lapsed (hr:mm:ss) --> 00:04:47, Epoch: 16, Training loss: 6.259121
Time_lapsed (hr:mm:ss) --> 00:04:49, Epoch: 16, Training loss: 4.673986
Time_lapsed (hr:mm:ss) --> 00:04:50, Epoch: 16, Training loss: 5.159429
Time_lapsed (hr:mm:ss) --> 00:04:52, Epoch: 16, Training loss: 5.478518
Time_lapsed (hr:mm:ss) --> 00:04:56, Epoch: 17, Training loss: 5.99772
Time_lapsed (hr:mm:ss) --> 00:04:58, Epoch: 17, Training loss: 5.482805
Time_lapsed (hr:mm:ss) --> 00:04:59, Epoch: 17, Training loss: 5.5052032
Time_lapsed (hr:mm:ss) --> 00:05:01, Epoch: 17, Training loss: 5.8079104
Time_lapsed (hr:mm:ss) --> 00:05:03, Epoch: 17, Training loss: 5.7593026
Time_lapsed (hr:mm:ss) --> 00:05:05, Epoch: 17, Training loss: 5.537801
Time_lapsed (hr:mm:ss) --> 00:05:07, Epoch: 17, Training loss: 4.4433002
Time_lapsed (hr:mm:ss) --> 00:05:09, Epoch: 17, Training loss: 5.8209352
Time_lapsed (hr:mm:ss) --> 00:05:11, Epoch: 17, Training loss: 6.1771398
Time_lapsed (hr:mm:ss) --> 00:05:14, Epoch: 18, Training loss: 5.5013094
Time_lapsed (hr:mm:ss) --> 00:05:16, Epoch: 18, Training loss: 5.7199583
Time_lapsed (hr:mm:ss) --> 00:05:18, Epoch: 18, Training loss: 4.923297
Time_lapsed (hr:mm:ss) --> 00:05:20, Epoch: 18, Training loss: 5.4891367
Time_lapsed (hr:mm:ss) --> 00:05:22, Epoch: 18, Training loss: 5.8688755
Time_lapsed (hr:mm:ss) --> 00:05:23, Epoch: 18, Training loss: 5.4845614
Time_lapsed (hr:mm:ss) --> 00:05:25, Epoch: 18, Training loss: 4.8148203
Time_lapsed (hr:mm:ss) --> 00:05:27, Epoch: 18, Training loss: 5.5606704
Time_lapsed (hr:mm:ss) --> 00:05:29, Epoch: 18, Training loss: 5.192771
Time_lapsed (hr:mm:ss) --> 00:05:33, Epoch: 19, Training loss: 5.2799544
Time_lapsed (hr:mm:ss) --> 00:05:34, Epoch: 19, Training loss: 5.7868648
Time_lapsed (hr:mm:ss) --> 00:05:36, Epoch: 19, Training loss: 4.704644
Time_lapsed (hr:mm:ss) --> 00:05:38, Epoch: 19, Training loss: 6.493672
Time_lapsed (hr:mm:ss) --> 00:05:40, Epoch: 19, Training loss: 5.7045774
Time_lapsed (hr:mm:ss) --> 00:05:42, Epoch: 19, Training loss: 4.7822933
Time_lapsed (hr:mm:ss) --> 00:05:44, Epoch: 19, Training loss: 5.3280287
Time_lapsed (hr:mm:ss) --> 00:05:45, Epoch: 19, Training loss: 4.747811
Time_lapsed (hr:mm:ss) --> 00:05:47, Epoch: 19, Training loss: 5.493422
Time_lapsed (hr:mm:ss) --> 00:05:51, Epoch: 20, Training loss: 5.4358115
Time_lapsed (hr:mm:ss) --> 00:05:53, Epoch: 20, Training loss: 5.3868947
Time_lapsed (hr:mm:ss) --> 00:05:55, Epoch: 20, Training loss: 4.4963403
Time_lapsed (hr:mm:ss) --> 00:05:56, Epoch: 20, Training loss: 4.9322147
Time_lapsed (hr:mm:ss) --> 00:05:58, Epoch: 20, Training loss: 4.8308845
Time_lapsed (hr:mm:ss) --> 00:06:00, Epoch: 20, Training loss: 5.276653
Time_lapsed (hr:mm:ss) --> 00:06:02, Epoch: 20, Training loss: 4.6302896
Time_lapsed (hr:mm:ss) --> 00:06:04, Epoch: 20, Training loss: 5.01028
Time_lapsed (hr:mm:ss) --> 00:06:06, Epoch: 20, Training loss: 4.804413
Time_lapsed (hr:mm:ss) --> 00:06:09, Epoch: 21, Training loss: 5.878011
Time_lapsed (hr:mm:ss) --> 00:06:11, Epoch: 21, Training loss: 5.9981327
Time_lapsed (hr:mm:ss) --> 00:06:13, Epoch: 21, Training loss: 4.498801
Time_lapsed (hr:mm:ss) --> 00:06:15, Epoch: 21, Training loss: 5.924115
Time_lapsed (hr:mm:ss) --> 00:06:17, Epoch: 21, Training loss: 5.984197
Time_lapsed (hr:mm:ss) --> 00:06:19, Epoch: 21, Training loss: 5.771714
Time_lapsed (hr:mm:ss) --> 00:06:20, Epoch: 21, Training loss: 4.6850557
Time_lapsed (hr:mm:ss) --> 00:06:22, Epoch: 21, Training loss: 6.094761
Time_lapsed (hr:mm:ss) --> 00:06:24, Epoch: 21, Training loss: 5.46376
Time_lapsed (hr:mm:ss) --> 00:06:28, Epoch: 22, Training loss: 5.045966
Time_lapsed (hr:mm:ss) --> 00:06:30, Epoch: 22, Training loss: 5.773539
Time_lapsed (hr:mm:ss) --> 00:06:32, Epoch: 22, Training loss: 4.9511876
Time_lapsed (hr:mm:ss) --> 00:06:33, Epoch: 22, Training loss: 5.007188
Time_lapsed (hr:mm:ss) --> 00:06:35, Epoch: 22, Training loss: 5.1516633
Time_lapsed (hr:mm:ss) --> 00:06:37, Epoch: 22, Training loss: 5.6344156
Time_lapsed (hr:mm:ss) --> 00:06:39, Epoch: 22, Training loss: 4.7384644
Time_lapsed (hr:mm:ss) --> 00:06:41, Epoch: 22, Training loss: 5.6125364
Time_lapsed (hr:mm:ss) --> 00:06:43, Epoch: 22, Training loss: 4.7520094
Time_lapsed (hr:mm:ss) --> 00:06:46, Epoch: 23, Training loss: 4.60394
Time_lapsed (hr:mm:ss) --> 00:06:48, Epoch: 23, Training loss: 5.398621
Time_lapsed (hr:mm:ss) --> 00:06:50, Epoch: 23, Training loss: 4.316691
Time_lapsed (hr:mm:ss) --> 00:06:52, Epoch: 23, Training loss: 4.5621624
Time_lapsed (hr:mm:ss) --> 00:06:54, Epoch: 23, Training loss: 5.5959177
Time_lapsed (hr:mm:ss) --> 00:06:56, Epoch: 23, Training loss: 5.5555243
Time_lapsed (hr:mm:ss) --> 00:06:57, Epoch: 23, Training loss: 4.8618402
Time_lapsed (hr:mm:ss) --> 00:06:59, Epoch: 23, Training loss: 5.7691603
Time_lapsed (hr:mm:ss) --> 00:07:01, Epoch: 23, Training loss: 5.6205325
Time_lapsed (hr:mm:ss) --> 00:07:05, Epoch: 24, Training loss: 5.732316
Time_lapsed (hr:mm:ss) --> 00:07:07, Epoch: 24, Training loss: 6.0189137
Time_lapsed (hr:mm:ss) --> 00:07:08, Epoch: 24, Training loss: 4.7620373
Time_lapsed (hr:mm:ss) --> 00:07:10, Epoch: 24, Training loss: 5.2232733
Time_lapsed (hr:mm:ss) --> 00:07:12, Epoch: 24, Training loss: 5.182242
Time_lapsed (hr:mm:ss) --> 00:07:14, Epoch: 24, Training loss: 6.325917
Time_lapsed (hr:mm:ss) --> 00:07:16, Epoch: 24, Training loss: 4.815767
Time_lapsed (hr:mm:ss) --> 00:07:18, Epoch: 24, Training loss: 6.1694694
Time_lapsed (hr:mm:ss) --> 00:07:19, Epoch: 24, Training loss: 5.7765937
Time_lapsed (hr:mm:ss) --> 00:07:23, Epoch: 25, Training loss: 5.4690948
Time_lapsed (hr:mm:ss) --> 00:07:25, Epoch: 25, Training loss: 5.0533166
Time_lapsed (hr:mm:ss) --> 00:07:27, Epoch: 25, Training loss: 4.6190643
Time_lapsed (hr:mm:ss) --> 00:07:29, Epoch: 25, Training loss: 5.0760436
Time_lapsed (hr:mm:ss) --> 00:07:30, Epoch: 25, Training loss: 5.5997906
Time_lapsed (hr:mm:ss) --> 00:07:32, Epoch: 25, Training loss: 4.9722104
Time_lapsed (hr:mm:ss) --> 00:07:34, Epoch: 25, Training loss: 4.457163
Time_lapsed (hr:mm:ss) --> 00:07:36, Epoch: 25, Training loss: 5.4672523
Time_lapsed (hr:mm:ss) --> 00:07:38, Epoch: 25, Training loss: 5.512305
Time_lapsed (hr:mm:ss) --> 00:07:41, Epoch: 26, Training loss: 5.643224
Time_lapsed (hr:mm:ss) --> 00:07:43, Epoch: 26, Training loss: 5.6406517
Time_lapsed (hr:mm:ss) --> 00:07:45, Epoch: 26, Training loss: 4.464925
Time_lapsed (hr:mm:ss) --> 00:07:47, Epoch: 26, Training loss: 5.123621
Time_lapsed (hr:mm:ss) --> 00:07:49, Epoch: 26, Training loss: 5.2850637
Time_lapsed (hr:mm:ss) --> 00:07:51, Epoch: 26, Training loss: 5.0815897
Time_lapsed (hr:mm:ss) --> 00:07:53, Epoch: 26, Training loss: 4.3128004
Time_lapsed (hr:mm:ss) --> 00:07:54, Epoch: 26, Training loss: 6.054068
Time_lapsed (hr:mm:ss) --> 00:07:56, Epoch: 26, Training loss: 5.179686
Time_lapsed (hr:mm:ss) --> 00:08:00, Epoch: 27, Training loss: 5.362173
Time_lapsed (hr:mm:ss) --> 00:08:02, Epoch: 27, Training loss: 5.956237
Time_lapsed (hr:mm:ss) --> 00:08:04, Epoch: 27, Training loss: 4.9176016
Time_lapsed (hr:mm:ss) --> 00:08:05, Epoch: 27, Training loss: 4.7875953
Time_lapsed (hr:mm:ss) --> 00:08:07, Epoch: 27, Training loss: 5.1015735
Time_lapsed (hr:mm:ss) --> 00:08:09, Epoch: 27, Training loss: 5.200932
Time_lapsed (hr:mm:ss) --> 00:08:11, Epoch: 27, Training loss: 4.5920544
Time_lapsed (hr:mm:ss) --> 00:08:13, Epoch: 27, Training loss: 6.267793
Time_lapsed (hr:mm:ss) --> 00:08:15, Epoch: 27, Training loss: 4.9096265
Time_lapsed (hr:mm:ss) --> 00:08:18, Epoch: 28, Training loss: 5.7953405
Time_lapsed (hr:mm:ss) --> 00:08:20, Epoch: 28, Training loss: 5.093341
Time_lapsed (hr:mm:ss) --> 00:08:22, Epoch: 28, Training loss: 5.3191895
Time_lapsed (hr:mm:ss) --> 00:08:24, Epoch: 28, Training loss: 5.1317916
Time_lapsed (hr:mm:ss) --> 00:08:26, Epoch: 28, Training loss: 4.9799976
Time_lapsed (hr:mm:ss) --> 00:08:27, Epoch: 28, Training loss: 5.111958
Time_lapsed (hr:mm:ss) --> 00:08:29, Epoch: 28, Training loss: 4.592055
Time_lapsed (hr:mm:ss) --> 00:08:31, Epoch: 28, Training loss: 5.4169884
Time_lapsed (hr:mm:ss) --> 00:08:33, Epoch: 28, Training loss: 4.6715283
Time_lapsed (hr:mm:ss) --> 00:08:37, Epoch: 29, Training loss: 4.7902517
Time_lapsed (hr:mm:ss) --> 00:08:38, Epoch: 29, Training loss: 4.9002175
Time_lapsed (hr:mm:ss) --> 00:08:40, Epoch: 29, Training loss: 4.710134
Time_lapsed (hr:mm:ss) --> 00:08:42, Epoch: 29, Training loss: 4.814572
Time_lapsed (hr:mm:ss) --> 00:08:44, Epoch: 29, Training loss: 6.1495647
Time_lapsed (hr:mm:ss) --> 00:08:46, Epoch: 29, Training loss: 5.0462904
Time_lapsed (hr:mm:ss) --> 00:08:48, Epoch: 29, Training loss: 4.189468
Time_lapsed (hr:mm:ss) --> 00:08:49, Epoch: 29, Training loss: 4.8395205
Time_lapsed (hr:mm:ss) --> 00:08:51, Epoch: 29, Training loss: 4.6263785
Time_lapsed (hr:mm:ss) --> 00:08:55, Epoch: 30, Training loss: 5.4381256
Time_lapsed (hr:mm:ss) --> 00:08:57, Epoch: 30, Training loss: 5.998502
Time_lapsed (hr:mm:ss) --> 00:08:59, Epoch: 30, Training loss: 4.5794764
Time_lapsed (hr:mm:ss) --> 00:09:01, Epoch: 30, Training loss: 5.85356
Time_lapsed (hr:mm:ss) --> 00:09:02, Epoch: 30, Training loss: 4.60153
Time_lapsed (hr:mm:ss) --> 00:09:04, Epoch: 30, Training loss: 5.375816
Time_lapsed (hr:mm:ss) --> 00:09:06, Epoch: 30, Training loss: 4.271631
Time_lapsed (hr:mm:ss) --> 00:09:08, Epoch: 30, Training loss: 5.3287625
Time_lapsed (hr:mm:ss) --> 00:09:10, Epoch: 30, Training loss: 4.830324
Time_lapsed (hr:mm:ss) --> 00:09:13, Epoch: 31, Training loss: 4.691047
Time_lapsed (hr:mm:ss) --> 00:09:15, Epoch: 31, Training loss: 6.4678426
Time_lapsed (hr:mm:ss) --> 00:09:17, Epoch: 31, Training loss: 4.122726
Time_lapsed (hr:mm:ss) --> 00:09:19, Epoch: 31, Training loss: 5.8745203
Time_lapsed (hr:mm:ss) --> 00:09:21, Epoch: 31, Training loss: 4.80487
Time_lapsed (hr:mm:ss) --> 00:09:23, Epoch: 31, Training loss: 5.2915063
Time_lapsed (hr:mm:ss) --> 00:09:25, Epoch: 31, Training loss: 4.8358912
Time_lapsed (hr:mm:ss) --> 00:09:26, Epoch: 31, Training loss: 5.6066647
Time_lapsed (hr:mm:ss) --> 00:09:28, Epoch: 31, Training loss: 4.7064757
Time_lapsed (hr:mm:ss) --> 00:09:32, Epoch: 32, Training loss: 4.903944
Time_lapsed (hr:mm:ss) --> 00:09:34, Epoch: 32, Training loss: 4.689226
Time_lapsed (hr:mm:ss) --> 00:09:36, Epoch: 32, Training loss: 5.2949243
Time_lapsed (hr:mm:ss) --> 00:09:37, Epoch: 32, Training loss: 5.327915
Time_lapsed (hr:mm:ss) --> 00:09:39, Epoch: 32, Training loss: 5.4690814
Time_lapsed (hr:mm:ss) --> 00:09:41, Epoch: 32, Training loss: 5.3193808
Time_lapsed (hr:mm:ss) --> 00:09:43, Epoch: 32, Training loss: 4.734147
Time_lapsed (hr:mm:ss) --> 00:09:45, Epoch: 32, Training loss: 6.3383465
Time_lapsed (hr:mm:ss) --> 00:09:47, Epoch: 32, Training loss: 4.5616364
Time_lapsed (hr:mm:ss) --> 00:09:50, Epoch: 33, Training loss: 4.6787534
Time_lapsed (hr:mm:ss) --> 00:09:52, Epoch: 33, Training loss: 5.1754804
Time_lapsed (hr:mm:ss) --> 00:09:54, Epoch: 33, Training loss: 4.6863475
Time_lapsed (hr:mm:ss) --> 00:09:56, Epoch: 33, Training loss: 5.5626163
Time_lapsed (hr:mm:ss) --> 00:09:58, Epoch: 33, Training loss: 5.014431
Time_lapsed (hr:mm:ss) --> 00:09:59, Epoch: 33, Training loss: 4.575528
Time_lapsed (hr:mm:ss) --> 00:10:01, Epoch: 33, Training loss: 4.1485586
Time_lapsed (hr:mm:ss) --> 00:10:03, Epoch: 33, Training loss: 5.435839
Time_lapsed (hr:mm:ss) --> 00:10:05, Epoch: 33, Training loss: 6.0130954
Time_lapsed (hr:mm:ss) --> 00:10:09, Epoch: 34, Training loss: 5.7756877
Time_lapsed (hr:mm:ss) --> 00:10:10, Epoch: 34, Training loss: 5.324387
Time_lapsed (hr:mm:ss) --> 00:10:12, Epoch: 34, Training loss: 5.1194353
Time_lapsed (hr:mm:ss) --> 00:10:14, Epoch: 34, Training loss: 5.368411
Time_lapsed (hr:mm:ss) --> 00:10:16, Epoch: 34, Training loss: 4.7487984
Time_lapsed (hr:mm:ss) --> 00:10:18, Epoch: 34, Training loss: 5.7729316
Time_lapsed (hr:mm:ss) --> 00:10:20, Epoch: 34, Training loss: 4.486014
Time_lapsed (hr:mm:ss) --> 00:10:21, Epoch: 34, Training loss: 5.1816115
Time_lapsed (hr:mm:ss) --> 00:10:23, Epoch: 34, Training loss: 5.493128
Time_lapsed (hr:mm:ss) --> 00:10:27, Epoch: 35, Training loss: 5.3220387
Time_lapsed (hr:mm:ss) --> 00:10:29, Epoch: 35, Training loss: 6.190504
Time_lapsed (hr:mm:ss) --> 00:10:31, Epoch: 35, Training loss: 4.525405
Time_lapsed (hr:mm:ss) --> 00:10:32, Epoch: 35, Training loss: 4.7389345
Time_lapsed (hr:mm:ss) --> 00:10:34, Epoch: 35, Training loss: 5.050691
Time_lapsed (hr:mm:ss) --> 00:10:36, Epoch: 35, Training loss: 5.700585
Time_lapsed (hr:mm:ss) --> 00:10:38, Epoch: 35, Training loss: 4.3372283
Time_lapsed (hr:mm:ss) --> 00:10:40, Epoch: 35, Training loss: 5.879069
Time_lapsed (hr:mm:ss) --> 00:10:42, Epoch: 35, Training loss: 5.308065
Time_lapsed (hr:mm:ss) --> 00:10:45, Epoch: 36, Training loss: 4.3449693
Time_lapsed (hr:mm:ss) --> 00:10:47, Epoch: 36, Training loss: 5.7720504
Time_lapsed (hr:mm:ss) --> 00:10:49, Epoch: 36, Training loss: 5.072183
Time_lapsed (hr:mm:ss) --> 00:10:51, Epoch: 36, Training loss: 5.4426284
Time_lapsed (hr:mm:ss) --> 00:10:53, Epoch: 36, Training loss: 4.845349
Time_lapsed (hr:mm:ss) --> 00:10:55, Epoch: 36, Training loss: 4.888614
Time_lapsed (hr:mm:ss) --> 00:10:56, Epoch: 36, Training loss: 4.5180974
Time_lapsed (hr:mm:ss) --> 00:10:58, Epoch: 36, Training loss: 5.749829
Time_lapsed (hr:mm:ss) --> 00:11:00, Epoch: 36, Training loss: 4.8479457
Time_lapsed (hr:mm:ss) --> 00:11:04, Epoch: 37, Training loss: 4.8761983
Time_lapsed (hr:mm:ss) --> 00:11:06, Epoch: 37, Training loss: 5.8144817
Time_lapsed (hr:mm:ss) --> 00:11:07, Epoch: 37, Training loss: 4.898225
Time_lapsed (hr:mm:ss) --> 00:11:09, Epoch: 37, Training loss: 4.771107
Time_lapsed (hr:mm:ss) --> 00:11:11, Epoch: 37, Training loss: 4.20046
Time_lapsed (hr:mm:ss) --> 00:11:13, Epoch: 37, Training loss: 5.10538
Time_lapsed (hr:mm:ss) --> 00:11:15, Epoch: 37, Training loss: 4.7975717
Time_lapsed (hr:mm:ss) --> 00:11:17, Epoch: 37, Training loss: 5.230923
Time_lapsed (hr:mm:ss) --> 00:11:19, Epoch: 37, Training loss: 5.1319757
Time_lapsed (hr:mm:ss) --> 00:11:22, Epoch: 38, Training loss: 5.4954467
Time_lapsed (hr:mm:ss) --> 00:11:24, Epoch: 38, Training loss: 5.4298725
Time_lapsed (hr:mm:ss) --> 00:11:26, Epoch: 38, Training loss: 4.44125
Time_lapsed (hr:mm:ss) --> 00:11:28, Epoch: 38, Training loss: 4.3587894
Time_lapsed (hr:mm:ss) --> 00:11:30, Epoch: 38, Training loss: 4.501385
Time_lapsed (hr:mm:ss) --> 00:11:31, Epoch: 38, Training loss: 4.9709754
Time_lapsed (hr:mm:ss) --> 00:11:33, Epoch: 38, Training loss: 4.412907
Time_lapsed (hr:mm:ss) --> 00:11:35, Epoch: 38, Training loss: 4.819903
Time_lapsed (hr:mm:ss) --> 00:11:37, Epoch: 38, Training loss: 5.4805264
Time_lapsed (hr:mm:ss) --> 00:11:41, Epoch: 39, Training loss: 4.944248
Time_lapsed (hr:mm:ss) --> 00:11:42, Epoch: 39, Training loss: 5.246972
Time_lapsed (hr:mm:ss) --> 00:11:44, Epoch: 39, Training loss: 3.9717808
Time_lapsed (hr:mm:ss) --> 00:11:46, Epoch: 39, Training loss: 4.687543
Time_lapsed (hr:mm:ss) --> 00:11:48, Epoch: 39, Training loss: 4.6273785
Time_lapsed (hr:mm:ss) --> 00:11:50, Epoch: 39, Training loss: 4.345807
Time_lapsed (hr:mm:ss) --> 00:11:52, Epoch: 39, Training loss: 4.4592233
Time_lapsed (hr:mm:ss) --> 00:11:53, Epoch: 39, Training loss: 5.6624694
Time_lapsed (hr:mm:ss) --> 00:11:55, Epoch: 39, Training loss: 5.9635334
Time_lapsed (hr:mm:ss) --> 00:11:59, Epoch: 40, Training loss: 5.184654
Time_lapsed (hr:mm:ss) --> 00:12:01, Epoch: 40, Training loss: 5.265874
Time_lapsed (hr:mm:ss) --> 00:12:03, Epoch: 40, Training loss: 4.3463907
Time_lapsed (hr:mm:ss) --> 00:12:04, Epoch: 40, Training loss: 5.0901365
Time_lapsed (hr:mm:ss) --> 00:12:06, Epoch: 40, Training loss: 4.388702
Time_lapsed (hr:mm:ss) --> 00:12:08, Epoch: 40, Training loss: 5.646883
Time_lapsed (hr:mm:ss) --> 00:12:10, Epoch: 40, Training loss: 4.364268
Time_lapsed (hr:mm:ss) --> 00:12:12, Epoch: 40, Training loss: 5.401641
Time_lapsed (hr:mm:ss) --> 00:12:14, Epoch: 40, Training loss: 5.132377
Time_lapsed (hr:mm:ss) --> 00:12:17, Epoch: 41, Training loss: 4.969137
Time_lapsed (hr:mm:ss) --> 00:12:19, Epoch: 41, Training loss: 5.6465836
Time_lapsed (hr:mm:ss) --> 00:12:21, Epoch: 41, Training loss: 4.4385056
Time_lapsed (hr:mm:ss) --> 00:12:23, Epoch: 41, Training loss: 5.186936
Time_lapsed (hr:mm:ss) --> 00:12:25, Epoch: 41, Training loss: 5.0368485
Time_lapsed (hr:mm:ss) --> 00:12:27, Epoch: 41, Training loss: 5.4788094
Time_lapsed (hr:mm:ss) --> 00:12:28, Epoch: 41, Training loss: 4.1710224
Time_lapsed (hr:mm:ss) --> 00:12:30, Epoch: 41, Training loss: 6.127874
Time_lapsed (hr:mm:ss) --> 00:12:32, Epoch: 41, Training loss: 4.849065
Time_lapsed (hr:mm:ss) --> 00:12:36, Epoch: 42, Training loss: 5.0771437
Time_lapsed (hr:mm:ss) --> 00:12:38, Epoch: 42, Training loss: 5.64294
Time_lapsed (hr:mm:ss) --> 00:12:40, Epoch: 42, Training loss: 4.1808786
Time_lapsed (hr:mm:ss) --> 00:12:41, Epoch: 42, Training loss: 4.3205457
Time_lapsed (hr:mm:ss) --> 00:12:43, Epoch: 42, Training loss: 5.0734196
Time_lapsed (hr:mm:ss) --> 00:12:45, Epoch: 42, Training loss: 5.277232
Time_lapsed (hr:mm:ss) --> 00:12:47, Epoch: 42, Training loss: 4.215486
Time_lapsed (hr:mm:ss) --> 00:12:49, Epoch: 42, Training loss: 5.292163
Time_lapsed (hr:mm:ss) --> 00:12:51, Epoch: 42, Training loss: 4.689785
Time_lapsed (hr:mm:ss) --> 00:12:54, Epoch: 43, Training loss: 4.7677517
Time_lapsed (hr:mm:ss) --> 00:12:56, Epoch: 43, Training loss: 5.692006
Time_lapsed (hr:mm:ss) --> 00:12:58, Epoch: 43, Training loss: 4.4992423
Time_lapsed (hr:mm:ss) --> 00:13:00, Epoch: 43, Training loss: 5.7868776
Time_lapsed (hr:mm:ss) --> 00:13:02, Epoch: 43, Training loss: 4.2405863
Time_lapsed (hr:mm:ss) --> 00:13:03, Epoch: 43, Training loss: 5.0579553
Time_lapsed (hr:mm:ss) --> 00:13:05, Epoch: 43, Training loss: 4.3407035
Time_lapsed (hr:mm:ss) --> 00:13:07, Epoch: 43, Training loss: 5.1895866
Time_lapsed (hr:mm:ss) --> 00:13:09, Epoch: 43, Training loss: 4.303676
Time_lapsed (hr:mm:ss) --> 00:13:13, Epoch: 44, Training loss: 5.2813616
Time_lapsed (hr:mm:ss) --> 00:13:14, Epoch: 44, Training loss: 5.3137183
Time_lapsed (hr:mm:ss) --> 00:13:16, Epoch: 44, Training loss: 4.4138765
Time_lapsed (hr:mm:ss) --> 00:13:18, Epoch: 44, Training loss: 4.9872694
Time_lapsed (hr:mm:ss) --> 00:13:20, Epoch: 44, Training loss: 4.847685
Time_lapsed (hr:mm:ss) --> 00:13:22, Epoch: 44, Training loss: 4.964362
Time_lapsed (hr:mm:ss) --> 00:13:24, Epoch: 44, Training loss: 4.610141
Time_lapsed (hr:mm:ss) --> 00:13:25, Epoch: 44, Training loss: 4.9559813
Time_lapsed (hr:mm:ss) --> 00:13:27, Epoch: 44, Training loss: 4.8530436
Time_lapsed (hr:mm:ss) --> 00:13:31, Epoch: 45, Training loss: 5.0626826
Time_lapsed (hr:mm:ss) --> 00:13:33, Epoch: 45, Training loss: 5.4736004
Time_lapsed (hr:mm:ss) --> 00:13:35, Epoch: 45, Training loss: 4.483688
Time_lapsed (hr:mm:ss) --> 00:13:36, Epoch: 45, Training loss: 4.472828
Time_lapsed (hr:mm:ss) --> 00:13:38, Epoch: 45, Training loss: 4.5394945
Time_lapsed (hr:mm:ss) --> 00:13:40, Epoch: 45, Training loss: 5.0561113
Time_lapsed (hr:mm:ss) --> 00:13:42, Epoch: 45, Training loss: 4.3324046
Time_lapsed (hr:mm:ss) --> 00:13:44, Epoch: 45, Training loss: 5.0663733
Time_lapsed (hr:mm:ss) --> 00:13:46, Epoch: 45, Training loss: 4.971656
Time_lapsed (hr:mm:ss) --> 00:13:49, Epoch: 46, Training loss: 5.041438
Time_lapsed (hr:mm:ss) --> 00:13:51, Epoch: 46, Training loss: 4.638673
Time_lapsed (hr:mm:ss) --> 00:13:53, Epoch: 46, Training loss: 4.20692
Time_lapsed (hr:mm:ss) --> 00:13:55, Epoch: 46, Training loss: 5.246609
Time_lapsed (hr:mm:ss) --> 00:13:57, Epoch: 46, Training loss: 4.632962
Time_lapsed (hr:mm:ss) --> 00:13:58, Epoch: 46, Training loss: 4.6483464
Time_lapsed (hr:mm:ss) --> 00:14:00, Epoch: 46, Training loss: 4.0162454
Time_lapsed (hr:mm:ss) --> 00:14:02, Epoch: 46, Training loss: 5.62232
Time_lapsed (hr:mm:ss) --> 00:14:04, Epoch: 46, Training loss: 5.084625
Time_lapsed (hr:mm:ss) --> 00:14:08, Epoch: 47, Training loss: 4.7885036
Time_lapsed (hr:mm:ss) --> 00:14:09, Epoch: 47, Training loss: 5.9027433
Time_lapsed (hr:mm:ss) --> 00:14:11, Epoch: 47, Training loss: 4.5674095
Time_lapsed (hr:mm:ss) --> 00:14:13, Epoch: 47, Training loss: 5.6920233
Time_lapsed (hr:mm:ss) --> 00:14:15, Epoch: 47, Training loss: 4.607405
Time_lapsed (hr:mm:ss) --> 00:14:17, Epoch: 47, Training loss: 4.745836
Time_lapsed (hr:mm:ss) --> 00:14:19, Epoch: 47, Training loss: 4.41127
Time_lapsed (hr:mm:ss) --> 00:14:20, Epoch: 47, Training loss: 5.4970884
Time_lapsed (hr:mm:ss) --> 00:14:22, Epoch: 47, Training loss: 5.1411414
Time_lapsed (hr:mm:ss) --> 00:14:26, Epoch: 48, Training loss: 4.939351
Time_lapsed (hr:mm:ss) --> 00:14:28, Epoch: 48, Training loss: 5.945018
Time_lapsed (hr:mm:ss) --> 00:14:30, Epoch: 48, Training loss: 4.5206094
Time_lapsed (hr:mm:ss) --> 00:14:32, Epoch: 48, Training loss: 5.499879
Time_lapsed (hr:mm:ss) --> 00:14:33, Epoch: 48, Training loss: 4.4525785
Time_lapsed (hr:mm:ss) --> 00:14:35, Epoch: 48, Training loss: 5.185093
Time_lapsed (hr:mm:ss) --> 00:14:37, Epoch: 48, Training loss: 5.150053
Time_lapsed (hr:mm:ss) --> 00:14:39, Epoch: 48, Training loss: 5.4518323
Time_lapsed (hr:mm:ss) --> 00:14:41, Epoch: 48, Training loss: 4.6294017
Time_lapsed (hr:mm:ss) --> 00:14:45, Epoch: 49, Training loss: 4.2847815
Time_lapsed (hr:mm:ss) --> 00:14:46, Epoch: 49, Training loss: 5.3834515
Time_lapsed (hr:mm:ss) --> 00:14:48, Epoch: 49, Training loss: 4.2218013
Time_lapsed (hr:mm:ss) --> 00:14:50, Epoch: 49, Training loss: 4.4783306
Time_lapsed (hr:mm:ss) --> 00:14:52, Epoch: 49, Training loss: 4.64739
Time_lapsed (hr:mm:ss) --> 00:14:54, Epoch: 49, Training loss: 5.0289483
Time_lapsed (hr:mm:ss) --> 00:14:56, Epoch: 49, Training loss: 4.6946945
Time_lapsed (hr:mm:ss) --> 00:14:57, Epoch: 49, Training loss: 4.645346
Time_lapsed (hr:mm:ss) --> 00:14:59, Epoch: 49, Training loss: 4.595722
Time_lapsed (hr:mm:ss) --> 00:15:03, Epoch: 50, Training loss: 4.7837663
Time_lapsed (hr:mm:ss) --> 00:15:05, Epoch: 50, Training loss: 5.506293
Time_lapsed (hr:mm:ss) --> 00:15:07, Epoch: 50, Training loss: 4.2896223
Time_lapsed (hr:mm:ss) --> 00:15:08, Epoch: 50, Training loss: 5.149274
Time_lapsed (hr:mm:ss) --> 00:15:10, Epoch: 50, Training loss: 4.331873
Time_lapsed (hr:mm:ss) --> 00:15:12, Epoch: 50, Training loss: 5.281449
Time_lapsed (hr:mm:ss) --> 00:15:14, Epoch: 50, Training loss: 4.2579246
Time_lapsed (hr:mm:ss) --> 00:15:16, Epoch: 50, Training loss: 4.844473
Time_lapsed (hr:mm:ss) --> 00:15:18, Epoch: 50, Training loss: 4.4787574
Time_lapsed (hr:mm:ss) --> 00:15:21, Epoch: 51, Training loss: 5.018064
Time_lapsed (hr:mm:ss) --> 00:15:23, Epoch: 51, Training loss: 5.235971
Time_lapsed (hr:mm:ss) --> 00:15:25, Epoch: 51, Training loss: 4.037188
Time_lapsed (hr:mm:ss) --> 00:15:27, Epoch: 51, Training loss: 4.746871
Time_lapsed (hr:mm:ss) --> 00:15:29, Epoch: 51, Training loss: 4.7314363
Time_lapsed (hr:mm:ss) --> 00:15:30, Epoch: 51, Training loss: 4.0582848
Time_lapsed (hr:mm:ss) --> 00:15:32, Epoch: 51, Training loss: 4.5046954
Time_lapsed (hr:mm:ss) --> 00:15:34, Epoch: 51, Training loss: 4.716673
Time_lapsed (hr:mm:ss) --> 00:15:36, Epoch: 51, Training loss: 4.703205
Time_lapsed (hr:mm:ss) --> 00:15:40, Epoch: 52, Training loss: 4.997223
Time_lapsed (hr:mm:ss) --> 00:15:41, Epoch: 52, Training loss: 4.954565
Time_lapsed (hr:mm:ss) --> 00:15:43, Epoch: 52, Training loss: 4.0850515
Time_lapsed (hr:mm:ss) --> 00:15:45, Epoch: 52, Training loss: 4.9647083
Time_lapsed (hr:mm:ss) --> 00:15:47, Epoch: 52, Training loss: 4.3197327
Time_lapsed (hr:mm:ss) --> 00:15:49, Epoch: 52, Training loss: 4.659172
Time_lapsed (hr:mm:ss) --> 00:15:51, Epoch: 52, Training loss: 4.4781013
Time_lapsed (hr:mm:ss) --> 00:15:52, Epoch: 52, Training loss: 5.416625
Time_lapsed (hr:mm:ss) --> 00:15:54, Epoch: 52, Training loss: 4.321782
Time_lapsed (hr:mm:ss) --> 00:15:58, Epoch: 53, Training loss: 5.0402565
Time_lapsed (hr:mm:ss) --> 00:16:00, Epoch: 53, Training loss: 5.4235373
Time_lapsed (hr:mm:ss) --> 00:16:02, Epoch: 53, Training loss: 4.380143
Time_lapsed (hr:mm:ss) --> 00:16:03, Epoch: 53, Training loss: 5.4889092
Time_lapsed (hr:mm:ss) --> 00:16:05, Epoch: 53, Training loss: 5.158207
Time_lapsed (hr:mm:ss) --> 00:16:07, Epoch: 53, Training loss: 4.6662607
Time_lapsed (hr:mm:ss) --> 00:16:09, Epoch: 53, Training loss: 4.3985953
Time_lapsed (hr:mm:ss) --> 00:16:11, Epoch: 53, Training loss: 5.1580596
Time_lapsed (hr:mm:ss) --> 00:16:13, Epoch: 53, Training loss: 5.2056537
Time_lapsed (hr:mm:ss) --> 00:16:16, Epoch: 54, Training loss: 5.183411
Time_lapsed (hr:mm:ss) --> 00:16:18, Epoch: 54, Training loss: 4.7363153
Time_lapsed (hr:mm:ss) --> 00:16:20, Epoch: 54, Training loss: 4.2281
Time_lapsed (hr:mm:ss) --> 00:16:22, Epoch: 54, Training loss: 5.2572155
Time_lapsed (hr:mm:ss) --> 00:16:24, Epoch: 54, Training loss: 5.0137672
Time_lapsed (hr:mm:ss) --> 00:16:25, Epoch: 54, Training loss: 5.371776
Time_lapsed (hr:mm:ss) --> 00:16:27, Epoch: 54, Training loss: 3.9218826
Time_lapsed (hr:mm:ss) --> 00:16:29, Epoch: 54, Training loss: 5.1994452
Time_lapsed (hr:mm:ss) --> 00:16:31, Epoch: 54, Training loss: 5.6257043
Time_lapsed (hr:mm:ss) --> 00:16:35, Epoch: 55, Training loss: 4.3498964
Time_lapsed (hr:mm:ss) --> 00:16:36, Epoch: 55, Training loss: 5.9019775
Time_lapsed (hr:mm:ss) --> 00:16:38, Epoch: 55, Training loss: 3.9816263
Time_lapsed (hr:mm:ss) --> 00:16:40, Epoch: 55, Training loss: 3.9424407
Time_lapsed (hr:mm:ss) --> 00:16:42, Epoch: 55, Training loss: 4.794388
Time_lapsed (hr:mm:ss) --> 00:16:44, Epoch: 55, Training loss: 4.422976
Time_lapsed (hr:mm:ss) --> 00:16:46, Epoch: 55, Training loss: 4.0589066
Time_lapsed (hr:mm:ss) --> 00:16:47, Epoch: 55, Training loss: 5.108208
Time_lapsed (hr:mm:ss) --> 00:16:49, Epoch: 55, Training loss: 4.3433604
Time_lapsed (hr:mm:ss) --> 00:16:53, Epoch: 56, Training loss: 4.7405143
Time_lapsed (hr:mm:ss) --> 00:16:55, Epoch: 56, Training loss: 5.4236684
Time_lapsed (hr:mm:ss) --> 00:16:57, Epoch: 56, Training loss: 4.765388
Time_lapsed (hr:mm:ss) --> 00:16:58, Epoch: 56, Training loss: 4.5981207
Time_lapsed (hr:mm:ss) --> 00:17:00, Epoch: 56, Training loss: 5.1459985
Time_lapsed (hr:mm:ss) --> 00:17:02, Epoch: 56, Training loss: 4.6079054
Time_lapsed (hr:mm:ss) --> 00:17:04, Epoch: 56, Training loss: 4.1631384
Time_lapsed (hr:mm:ss) --> 00:17:06, Epoch: 56, Training loss: 5.292663
Time_lapsed (hr:mm:ss) --> 00:17:08, Epoch: 56, Training loss: 4.0528264
Time_lapsed (hr:mm:ss) --> 00:17:11, Epoch: 57, Training loss: 4.9902263
Time_lapsed (hr:mm:ss) --> 00:17:13, Epoch: 57, Training loss: 5.2216935
Time_lapsed (hr:mm:ss) --> 00:17:15, Epoch: 57, Training loss: 4.0879455
Time_lapsed (hr:mm:ss) --> 00:17:17, Epoch: 57, Training loss: 5.9628096
Time_lapsed (hr:mm:ss) --> 00:17:18, Epoch: 57, Training loss: 4.6326647
Time_lapsed (hr:mm:ss) --> 00:17:20, Epoch: 57, Training loss: 4.5134754
Time_lapsed (hr:mm:ss) --> 00:17:22, Epoch: 57, Training loss: 4.081614
Time_lapsed (hr:mm:ss) --> 00:17:24, Epoch: 57, Training loss: 5.642805
Time_lapsed (hr:mm:ss) --> 00:17:26, Epoch: 57, Training loss: 4.8433
Time_lapsed (hr:mm:ss) --> 00:17:29, Epoch: 58, Training loss: 4.39213
Time_lapsed (hr:mm:ss) --> 00:17:31, Epoch: 58, Training loss: 4.8334794
Time_lapsed (hr:mm:ss) --> 00:17:33, Epoch: 58, Training loss: 4.0939345
Time_lapsed (hr:mm:ss) --> 00:17:35, Epoch: 58, Training loss: 4.0264316
Time_lapsed (hr:mm:ss) --> 00:17:37, Epoch: 58, Training loss: 4.9520235
Time_lapsed (hr:mm:ss) --> 00:17:39, Epoch: 58, Training loss: 5.4058404
Time_lapsed (hr:mm:ss) --> 00:17:40, Epoch: 58, Training loss: 3.6336918
Time_lapsed (hr:mm:ss) --> 00:17:42, Epoch: 58, Training loss: 4.6943784
Time_lapsed (hr:mm:ss) --> 00:17:44, Epoch: 58, Training loss: 4.801067
Time_lapsed (hr:mm:ss) --> 00:17:48, Epoch: 59, Training loss: 4.5609007
Time_lapsed (hr:mm:ss) --> 00:17:50, Epoch: 59, Training loss: 4.603997
Time_lapsed (hr:mm:ss) --> 00:17:51, Epoch: 59, Training loss: 4.3415127
Time_lapsed (hr:mm:ss) --> 00:17:53, Epoch: 59, Training loss: 4.1848545
Time_lapsed (hr:mm:ss) --> 00:17:55, Epoch: 59, Training loss: 4.942772
Time_lapsed (hr:mm:ss) --> 00:17:57, Epoch: 59, Training loss: 4.300992
Time_lapsed (hr:mm:ss) --> 00:17:59, Epoch: 59, Training loss: 4.42317
Time_lapsed (hr:mm:ss) --> 00:18:01, Epoch: 59, Training loss: 5.0991325
Time_lapsed (hr:mm:ss) --> 00:18:02, Epoch: 59, Training loss: 5.07915
Time_lapsed (hr:mm:ss) --> 00:18:06, Epoch: 60, Training loss: 4.8563375
Time_lapsed (hr:mm:ss) --> 00:18:08, Epoch: 60, Training loss: 4.8051257
Time_lapsed (hr:mm:ss) --> 00:18:10, Epoch: 60, Training loss: 4.650175
Time_lapsed (hr:mm:ss) --> 00:18:12, Epoch: 60, Training loss: 4.0878315
Time_lapsed (hr:mm:ss) --> 00:18:14, Epoch: 60, Training loss: 5.0516524
Time_lapsed (hr:mm:ss) --> 00:18:15, Epoch: 60, Training loss: 4.2961435
Time_lapsed (hr:mm:ss) --> 00:18:17, Epoch: 60, Training loss: 3.7574487
Time_lapsed (hr:mm:ss) --> 00:18:19, Epoch: 60, Training loss: 5.1282806
Time_lapsed (hr:mm:ss) --> 00:18:21, Epoch: 60, Training loss: 4.365473
Time_lapsed (hr:mm:ss) --> 00:18:24, Epoch: 61, Training loss: 4.6816535
Time_lapsed (hr:mm:ss) --> 00:18:26, Epoch: 61, Training loss: 5.703587
Time_lapsed (hr:mm:ss) --> 00:18:28, Epoch: 61, Training loss: 4.5553036
Time_lapsed (hr:mm:ss) --> 00:18:30, Epoch: 61, Training loss: 4.6416907
Time_lapsed (hr:mm:ss) --> 00:18:32, Epoch: 61, Training loss: 4.8377166
Time_lapsed (hr:mm:ss) --> 00:18:34, Epoch: 61, Training loss: 4.8088775
Time_lapsed (hr:mm:ss) --> 00:18:35, Epoch: 61, Training loss: 4.1715064
Time_lapsed (hr:mm:ss) --> 00:18:37, Epoch: 61, Training loss: 5.0673738
Time_lapsed (hr:mm:ss) --> 00:18:39, Epoch: 61, Training loss: 5.064355
Time_lapsed (hr:mm:ss) --> 00:18:43, Epoch: 62, Training loss: 4.848183
Time_lapsed (hr:mm:ss) --> 00:18:45, Epoch: 62, Training loss: 5.12331
Time_lapsed (hr:mm:ss) --> 00:18:46, Epoch: 62, Training loss: 4.588625
Time_lapsed (hr:mm:ss) --> 00:18:48, Epoch: 62, Training loss: 5.1408896
Time_lapsed (hr:mm:ss) --> 00:18:50, Epoch: 62, Training loss: 5.3101187
Time_lapsed (hr:mm:ss) --> 00:18:52, Epoch: 62, Training loss: 5.1648717
Time_lapsed (hr:mm:ss) --> 00:18:54, Epoch: 62, Training loss: 3.6578684
Time_lapsed (hr:mm:ss) --> 00:18:55, Epoch: 62, Training loss: 5.008462
Time_lapsed (hr:mm:ss) --> 00:18:57, Epoch: 62, Training loss: 4.696572
Time_lapsed (hr:mm:ss) --> 00:19:01, Epoch: 63, Training loss: 4.4357843
Time_lapsed (hr:mm:ss) --> 00:19:03, Epoch: 63, Training loss: 4.8968725
Time_lapsed (hr:mm:ss) --> 00:19:05, Epoch: 63, Training loss: 4.3005114
Time_lapsed (hr:mm:ss) --> 00:19:07, Epoch: 63, Training loss: 5.0149493
Time_lapsed (hr:mm:ss) --> 00:19:08, Epoch: 63, Training loss: 4.3504286
Time_lapsed (hr:mm:ss) --> 00:19:10, Epoch: 63, Training loss: 4.3438334
Time_lapsed (hr:mm:ss) --> 00:19:12, Epoch: 63, Training loss: 4.005306
Time_lapsed (hr:mm:ss) --> 00:19:14, Epoch: 63, Training loss: 4.875145
Time_lapsed (hr:mm:ss) --> 00:19:16, Epoch: 63, Training loss: 4.5232563
Time_lapsed (hr:mm:ss) --> 00:19:19, Epoch: 64, Training loss: 4.421266
Time_lapsed (hr:mm:ss) --> 00:19:21, Epoch: 64, Training loss: 5.609602
Time_lapsed (hr:mm:ss) --> 00:19:23, Epoch: 64, Training loss: 4.09054
Time_lapsed (hr:mm:ss) --> 00:19:25, Epoch: 64, Training loss: 4.779819
Time_lapsed (hr:mm:ss) --> 00:19:27, Epoch: 64, Training loss: 4.318646
Time_lapsed (hr:mm:ss) --> 00:19:28, Epoch: 64, Training loss: 4.2847404
Time_lapsed (hr:mm:ss) --> 00:19:30, Epoch: 64, Training loss: 4.020341
Time_lapsed (hr:mm:ss) --> 00:19:32, Epoch: 64, Training loss: 4.93775
Time_lapsed (hr:mm:ss) --> 00:19:34, Epoch: 64, Training loss: 4.8773365
Time_lapsed (hr:mm:ss) --> 00:19:38, Epoch: 65, Training loss: 4.8699765
Time_lapsed (hr:mm:ss) --> 00:19:40, Epoch: 65, Training loss: 5.7038603
Time_lapsed (hr:mm:ss) --> 00:19:41, Epoch: 65, Training loss: 4.064931
Time_lapsed (hr:mm:ss) --> 00:19:43, Epoch: 65, Training loss: 4.895979
Time_lapsed (hr:mm:ss) --> 00:19:45, Epoch: 65, Training loss: 4.481065
Time_lapsed (hr:mm:ss) --> 00:19:47, Epoch: 65, Training loss: 4.97664
Time_lapsed (hr:mm:ss) --> 00:19:49, Epoch: 65, Training loss: 4.230085
Time_lapsed (hr:mm:ss) --> 00:19:51, Epoch: 65, Training loss: 5.486603
Time_lapsed (hr:mm:ss) --> 00:19:52, Epoch: 65, Training loss: 4.4420943
Time_lapsed (hr:mm:ss) --> 00:19:56, Epoch: 66, Training loss: 5.080633
Time_lapsed (hr:mm:ss) --> 00:19:58, Epoch: 66, Training loss: 4.605448
Time_lapsed (hr:mm:ss) --> 00:20:00, Epoch: 66, Training loss: 4.3445306
Time_lapsed (hr:mm:ss) --> 00:20:02, Epoch: 66, Training loss: 5.0816193
Time_lapsed (hr:mm:ss) --> 00:20:03, Epoch: 66, Training loss: 5.196886
Time_lapsed (hr:mm:ss) --> 00:20:05, Epoch: 66, Training loss: 5.0517073
Time_lapsed (hr:mm:ss) --> 00:20:07, Epoch: 66, Training loss: 4.104502
Time_lapsed (hr:mm:ss) --> 00:20:09, Epoch: 66, Training loss: 4.490455
Time_lapsed (hr:mm:ss) --> 00:20:11, Epoch: 66, Training loss: 4.515126
Time_lapsed (hr:mm:ss) --> 00:20:14, Epoch: 67, Training loss: 4.084124
Time_lapsed (hr:mm:ss) --> 00:20:16, Epoch: 67, Training loss: 4.5983195
Time_lapsed (hr:mm:ss) --> 00:20:18, Epoch: 67, Training loss: 4.279674
Time_lapsed (hr:mm:ss) --> 00:20:20, Epoch: 67, Training loss: 5.1713
Time_lapsed (hr:mm:ss) --> 00:20:22, Epoch: 67, Training loss: 4.1609335
Time_lapsed (hr:mm:ss) --> 00:20:24, Epoch: 67, Training loss: 4.8639174
Time_lapsed (hr:mm:ss) --> 00:20:25, Epoch: 67, Training loss: 4.1018057
Time_lapsed (hr:mm:ss) --> 00:20:27, Epoch: 67, Training loss: 5.1125956
Time_lapsed (hr:mm:ss) --> 00:20:29, Epoch: 67, Training loss: 4.404364
Time_lapsed (hr:mm:ss) --> 00:20:33, Epoch: 68, Training loss: 4.6962957
Time_lapsed (hr:mm:ss) --> 00:20:35, Epoch: 68, Training loss: 5.283993
Time_lapsed (hr:mm:ss) --> 00:20:36, Epoch: 68, Training loss: 4.0183325
Time_lapsed (hr:mm:ss) --> 00:20:38, Epoch: 68, Training loss: 4.47237
Time_lapsed (hr:mm:ss) --> 00:20:40, Epoch: 68, Training loss: 4.6546745
Time_lapsed (hr:mm:ss) --> 00:20:42, Epoch: 68, Training loss: 4.6383963
Time_lapsed (hr:mm:ss) --> 00:20:44, Epoch: 68, Training loss: 4.0494356
Time_lapsed (hr:mm:ss) --> 00:20:46, Epoch: 68, Training loss: 4.4916716
Time_lapsed (hr:mm:ss) --> 00:20:47, Epoch: 68, Training loss: 5.269366
Time_lapsed (hr:mm:ss) --> 00:20:51, Epoch: 69, Training loss: 4.8742003
Time_lapsed (hr:mm:ss) --> 00:20:53, Epoch: 69, Training loss: 4.908987
Time_lapsed (hr:mm:ss) --> 00:20:55, Epoch: 69, Training loss: 4.0450335
Time_lapsed (hr:mm:ss) --> 00:20:57, Epoch: 69, Training loss: 3.9504728
Time_lapsed (hr:mm:ss) --> 00:20:59, Epoch: 69, Training loss: 4.9757166
Time_lapsed (hr:mm:ss) --> 00:21:00, Epoch: 69, Training loss: 4.6795883
Time_lapsed (hr:mm:ss) --> 00:21:02, Epoch: 69, Training loss: 4.2073183
Time_lapsed (hr:mm:ss) --> 00:21:04, Epoch: 69, Training loss: 4.639939
Time_lapsed (hr:mm:ss) --> 00:21:06, Epoch: 69, Training loss: 4.7408924
Time_lapsed (hr:mm:ss) --> 00:21:10, Epoch: 70, Training loss: 5.1186275
Time_lapsed (hr:mm:ss) --> 00:21:11, Epoch: 70, Training loss: 6.304902
Time_lapsed (hr:mm:ss) --> 00:21:13, Epoch: 70, Training loss: 3.9280052
Time_lapsed (hr:mm:ss) --> 00:21:15, Epoch: 70, Training loss: 4.3163037
Time_lapsed (hr:mm:ss) --> 00:21:17, Epoch: 70, Training loss: 4.740142
Time_lapsed (hr:mm:ss) --> 00:21:19, Epoch: 70, Training loss: 4.7859406
Time_lapsed (hr:mm:ss) --> 00:21:21, Epoch: 70, Training loss: 4.141099
Time_lapsed (hr:mm:ss) --> 00:21:22, Epoch: 70, Training loss: 5.288082
Time_lapsed (hr:mm:ss) --> 00:21:24, Epoch: 70, Training loss: 4.702265
Time_lapsed (hr:mm:ss) --> 00:21:28, Epoch: 71, Training loss: 4.599651
Time_lapsed (hr:mm:ss) --> 00:21:30, Epoch: 71, Training loss: 4.6010365
Time_lapsed (hr:mm:ss) --> 00:21:32, Epoch: 71, Training loss: 4.508339
Time_lapsed (hr:mm:ss) --> 00:21:33, Epoch: 71, Training loss: 4.212366
Time_lapsed (hr:mm:ss) --> 00:21:35, Epoch: 71, Training loss: 4.3783193
Time_lapsed (hr:mm:ss) --> 00:21:37, Epoch: 71, Training loss: 4.92804
Time_lapsed (hr:mm:ss) --> 00:21:39, Epoch: 71, Training loss: 4.380533
Time_lapsed (hr:mm:ss) --> 00:21:41, Epoch: 71, Training loss: 4.7833285
Time_lapsed (hr:mm:ss) --> 00:21:43, Epoch: 71, Training loss: 4.606864
Time_lapsed (hr:mm:ss) --> 00:21:46, Epoch: 72, Training loss: 4.239259
Time_lapsed (hr:mm:ss) --> 00:21:48, Epoch: 72, Training loss: 4.70522
Time_lapsed (hr:mm:ss) --> 00:21:50, Epoch: 72, Training loss: 3.7257824
Time_lapsed (hr:mm:ss) --> 00:21:52, Epoch: 72, Training loss: 4.250196
Time_lapsed (hr:mm:ss) --> 00:21:54, Epoch: 72, Training loss: 5.375684
Time_lapsed (hr:mm:ss) --> 00:21:55, Epoch: 72, Training loss: 4.6734734
Time_lapsed (hr:mm:ss) --> 00:21:57, Epoch: 72, Training loss: 4.0336037
Time_lapsed (hr:mm:ss) --> 00:21:59, Epoch: 72, Training loss: 4.993818
Time_lapsed (hr:mm:ss) --> 00:22:01, Epoch: 72, Training loss: 3.957364
Time_lapsed (hr:mm:ss) --> 00:22:05, Epoch: 73, Training loss: 4.026635
Time_lapsed (hr:mm:ss) --> 00:22:06, Epoch: 73, Training loss: 5.1538854
Time_lapsed (hr:mm:ss) --> 00:22:08, Epoch: 73, Training loss: 4.0230865
Time_lapsed (hr:mm:ss) --> 00:22:10, Epoch: 73, Training loss: 5.1740484
Time_lapsed (hr:mm:ss) --> 00:22:12, Epoch: 73, Training loss: 4.5461955
Time_lapsed (hr:mm:ss) --> 00:22:14, Epoch: 73, Training loss: 4.5695777
Time_lapsed (hr:mm:ss) --> 00:22:16, Epoch: 73, Training loss: 3.7058983
Time_lapsed (hr:mm:ss) --> 00:22:17, Epoch: 73, Training loss: 4.706766
Time_lapsed (hr:mm:ss) --> 00:22:19, Epoch: 73, Training loss: 4.934684
Time_lapsed (hr:mm:ss) --> 00:22:23, Epoch: 74, Training loss: 4.5014753
Time_lapsed (hr:mm:ss) --> 00:22:25, Epoch: 74, Training loss: 5.139147
Time_lapsed (hr:mm:ss) --> 00:22:27, Epoch: 74, Training loss: 3.7960582
Time_lapsed (hr:mm:ss) --> 00:22:28, Epoch: 74, Training loss: 5.096181
Time_lapsed (hr:mm:ss) --> 00:22:30, Epoch: 74, Training loss: 4.548241
Time_lapsed (hr:mm:ss) --> 00:22:32, Epoch: 74, Training loss: 4.3205805
Time_lapsed (hr:mm:ss) --> 00:22:34, Epoch: 74, Training loss: 4.2041826
Time_lapsed (hr:mm:ss) --> 00:22:36, Epoch: 74, Training loss: 4.778079
Time_lapsed (hr:mm:ss) --> 00:22:38, Epoch: 74, Training loss: 3.9367387
Time_lapsed (hr:mm:ss) --> 00:22:41, Epoch: 75, Training loss: 4.3958435
Time_lapsed (hr:mm:ss) --> 00:22:43, Epoch: 75, Training loss: 5.202316
Time_lapsed (hr:mm:ss) --> 00:22:45, Epoch: 75, Training loss: 3.858627
Time_lapsed (hr:mm:ss) --> 00:22:47, Epoch: 75, Training loss: 4.842318
Time_lapsed (hr:mm:ss) --> 00:22:49, Epoch: 75, Training loss: 4.4172773
Time_lapsed (hr:mm:ss) --> 00:22:50, Epoch: 75, Training loss: 4.3024325
Time_lapsed (hr:mm:ss) --> 00:22:52, Epoch: 75, Training loss: 4.0030546
Time_lapsed (hr:mm:ss) --> 00:22:54, Epoch: 75, Training loss: 4.557641
Time_lapsed (hr:mm:ss) --> 00:22:56, Epoch: 75, Training loss: 4.250789
Time_lapsed (hr:mm:ss) --> 00:23:00, Epoch: 76, Training loss: 4.1136303
Time_lapsed (hr:mm:ss) --> 00:23:01, Epoch: 76, Training loss: 5.2647753
Time_lapsed (hr:mm:ss) --> 00:23:03, Epoch: 76, Training loss: 3.5306315
Time_lapsed (hr:mm:ss) --> 00:23:05, Epoch: 76, Training loss: 4.9213343
Time_lapsed (hr:mm:ss) --> 00:23:07, Epoch: 76, Training loss: 3.8705447
Time_lapsed (hr:mm:ss) --> 00:23:09, Epoch: 76, Training loss: 4.99274
Time_lapsed (hr:mm:ss) --> 00:23:11, Epoch: 76, Training loss: 3.787559
Time_lapsed (hr:mm:ss) --> 00:23:13, Epoch: 76, Training loss: 5.093091
Time_lapsed (hr:mm:ss) --> 00:23:14, Epoch: 76, Training loss: 4.3481507
Time_lapsed (hr:mm:ss) --> 00:23:18, Epoch: 77, Training loss: 5.0816326
Time_lapsed (hr:mm:ss) --> 00:23:20, Epoch: 77, Training loss: 4.6644053
Time_lapsed (hr:mm:ss) --> 00:23:22, Epoch: 77, Training loss: 4.308912
Time_lapsed (hr:mm:ss) --> 00:23:24, Epoch: 77, Training loss: 4.291113
Time_lapsed (hr:mm:ss) --> 00:23:25, Epoch: 77, Training loss: 4.4318347
Time_lapsed (hr:mm:ss) --> 00:23:27, Epoch: 77, Training loss: 4.5313654
Time_lapsed (hr:mm:ss) --> 00:23:29, Epoch: 77, Training loss: 4.152401
Time_lapsed (hr:mm:ss) --> 00:23:31, Epoch: 77, Training loss: 5.154073
Time_lapsed (hr:mm:ss) --> 00:23:33, Epoch: 77, Training loss: 3.6979005
Time_lapsed (hr:mm:ss) --> 00:23:36, Epoch: 78, Training loss: 5.0607467
Time_lapsed (hr:mm:ss) --> 00:23:38, Epoch: 78, Training loss: 4.7898293
Time_lapsed (hr:mm:ss) --> 00:23:40, Epoch: 78, Training loss: 3.9110885
Time_lapsed (hr:mm:ss) --> 00:23:42, Epoch: 78, Training loss: 5.052059
Time_lapsed (hr:mm:ss) --> 00:23:44, Epoch: 78, Training loss: 4.5207353
Time_lapsed (hr:mm:ss) --> 00:23:45, Epoch: 78, Training loss: 4.903286
Time_lapsed (hr:mm:ss) --> 00:23:47, Epoch: 78, Training loss: 3.8684018
Time_lapsed (hr:mm:ss) --> 00:23:49, Epoch: 78, Training loss: 5.051079
Time_lapsed (hr:mm:ss) --> 00:23:51, Epoch: 78, Training loss: 4.556032
Time_lapsed (hr:mm:ss) --> 00:23:55, Epoch: 79, Training loss: 4.513387
Time_lapsed (hr:mm:ss) --> 00:23:56, Epoch: 79, Training loss: 4.4515753
Time_lapsed (hr:mm:ss) --> 00:23:58, Epoch: 79, Training loss: 3.8391142
Time_lapsed (hr:mm:ss) --> 00:24:00, Epoch: 79, Training loss: 4.4210663
Time_lapsed (hr:mm:ss) --> 00:24:02, Epoch: 79, Training loss: 4.2611017
Time_lapsed (hr:mm:ss) --> 00:24:04, Epoch: 79, Training loss: 4.2706127
Time_lapsed (hr:mm:ss) --> 00:24:06, Epoch: 79, Training loss: 3.783997
Time_lapsed (hr:mm:ss) --> 00:24:07, Epoch: 79, Training loss: 4.9715934
Time_lapsed (hr:mm:ss) --> 00:24:09, Epoch: 79, Training loss: 4.264822
Time_lapsed (hr:mm:ss) --> 00:24:13, Epoch: 80, Training loss: 4.8028626
Time_lapsed (hr:mm:ss) --> 00:24:15, Epoch: 80, Training loss: 5.0213327
Time_lapsed (hr:mm:ss) --> 00:24:17, Epoch: 80, Training loss: 3.6451695
Time_lapsed (hr:mm:ss) --> 00:24:18, Epoch: 80, Training loss: 4.616175
Time_lapsed (hr:mm:ss) --> 00:24:20, Epoch: 80, Training loss: 4.4110327
Time_lapsed (hr:mm:ss) --> 00:24:22, Epoch: 80, Training loss: 4.525344
Time_lapsed (hr:mm:ss) --> 00:24:24, Epoch: 80, Training loss: 3.8978653
Time_lapsed (hr:mm:ss) --> 00:24:26, Epoch: 80, Training loss: 4.3898444
Time_lapsed (hr:mm:ss) --> 00:24:28, Epoch: 80, Training loss: 5.250989
Time_lapsed (hr:mm:ss) --> 00:24:31, Epoch: 81, Training loss: 4.462561
Time_lapsed (hr:mm:ss) --> 00:24:33, Epoch: 81, Training loss: 4.8944397
Time_lapsed (hr:mm:ss) --> 00:24:35, Epoch: 81, Training loss: 3.746816
Time_lapsed (hr:mm:ss) --> 00:24:37, Epoch: 81, Training loss: 3.9093375
Time_lapsed (hr:mm:ss) --> 00:24:39, Epoch: 81, Training loss: 4.611349
Time_lapsed (hr:mm:ss) --> 00:24:40, Epoch: 81, Training loss: 4.2292886
Time_lapsed (hr:mm:ss) --> 00:24:42, Epoch: 81, Training loss: 3.6199367
Time_lapsed (hr:mm:ss) --> 00:24:44, Epoch: 81, Training loss: 4.9857354
Time_lapsed (hr:mm:ss) --> 00:24:46, Epoch: 81, Training loss: 4.4278708
Time_lapsed (hr:mm:ss) --> 00:24:50, Epoch: 82, Training loss: 3.8489943
Time_lapsed (hr:mm:ss) --> 00:24:52, Epoch: 82, Training loss: 4.6129937
Time_lapsed (hr:mm:ss) --> 00:24:53, Epoch: 82, Training loss: 3.8486013
Time_lapsed (hr:mm:ss) --> 00:24:55, Epoch: 82, Training loss: 4.741857
Time_lapsed (hr:mm:ss) --> 00:24:57, Epoch: 82, Training loss: 4.110421
Time_lapsed (hr:mm:ss) --> 00:24:59, Epoch: 82, Training loss: 4.44106
Time_lapsed (hr:mm:ss) --> 00:25:01, Epoch: 82, Training loss: 4.104117
Time_lapsed (hr:mm:ss) --> 00:25:02, Epoch: 82, Training loss: 4.891527
Time_lapsed (hr:mm:ss) --> 00:25:04, Epoch: 82, Training loss: 4.5907183
Time_lapsed (hr:mm:ss) --> 00:25:08, Epoch: 83, Training loss: 4.1327004
Time_lapsed (hr:mm:ss) --> 00:25:10, Epoch: 83, Training loss: 5.139067
Time_lapsed (hr:mm:ss) --> 00:25:12, Epoch: 83, Training loss: 3.780905
Time_lapsed (hr:mm:ss) --> 00:25:13, Epoch: 83, Training loss: 4.284748
Time_lapsed (hr:mm:ss) --> 00:25:15, Epoch: 83, Training loss: 4.678588
Time_lapsed (hr:mm:ss) --> 00:25:17, Epoch: 83, Training loss: 4.6010804
Time_lapsed (hr:mm:ss) --> 00:25:19, Epoch: 83, Training loss: 3.467628
Time_lapsed (hr:mm:ss) --> 00:25:21, Epoch: 83, Training loss: 5.1833744
Time_lapsed (hr:mm:ss) --> 00:25:23, Epoch: 83, Training loss: 4.578789
Time_lapsed (hr:mm:ss) --> 00:25:26, Epoch: 84, Training loss: 3.7351909
Time_lapsed (hr:mm:ss) --> 00:25:28, Epoch: 84, Training loss: 4.6686387
Time_lapsed (hr:mm:ss) --> 00:25:30, Epoch: 84, Training loss: 3.8745003
Time_lapsed (hr:mm:ss) --> 00:25:32, Epoch: 84, Training loss: 4.3144903
Time_lapsed (hr:mm:ss) --> 00:25:33, Epoch: 84, Training loss: 5.089974
Time_lapsed (hr:mm:ss) --> 00:25:35, Epoch: 84, Training loss: 4.220885
Time_lapsed (hr:mm:ss) --> 00:25:37, Epoch: 84, Training loss: 4.093825
Time_lapsed (hr:mm:ss) --> 00:25:39, Epoch: 84, Training loss: 4.7899513
Time_lapsed (hr:mm:ss) --> 00:25:41, Epoch: 84, Training loss: 4.796167
Time_lapsed (hr:mm:ss) --> 00:25:44, Epoch: 85, Training loss: 4.074477
Time_lapsed (hr:mm:ss) --> 00:25:46, Epoch: 85, Training loss: 4.5161557
Time_lapsed (hr:mm:ss) --> 00:25:48, Epoch: 85, Training loss: 3.7339215
Time_lapsed (hr:mm:ss) --> 00:25:50, Epoch: 85, Training loss: 5.201799
Time_lapsed (hr:mm:ss) --> 00:25:52, Epoch: 85, Training loss: 4.7388387
Time_lapsed (hr:mm:ss) --> 00:25:54, Epoch: 85, Training loss: 4.536638
Time_lapsed (hr:mm:ss) --> 00:25:56, Epoch: 85, Training loss: 4.013326
Time_lapsed (hr:mm:ss) --> 00:25:57, Epoch: 85, Training loss: 4.306475
Time_lapsed (hr:mm:ss) --> 00:25:59, Epoch: 85, Training loss: 4.0140643
Time_lapsed (hr:mm:ss) --> 00:26:03, Epoch: 86, Training loss: 4.2497373
Time_lapsed (hr:mm:ss) --> 00:26:05, Epoch: 86, Training loss: 4.9195266
Time_lapsed (hr:mm:ss) --> 00:26:07, Epoch: 86, Training loss: 4.0385666
Time_lapsed (hr:mm:ss) --> 00:26:08, Epoch: 86, Training loss: 4.873582
Time_lapsed (hr:mm:ss) --> 00:26:10, Epoch: 86, Training loss: 4.304097
Time_lapsed (hr:mm:ss) --> 00:26:12, Epoch: 86, Training loss: 4.192195
Time_lapsed (hr:mm:ss) --> 00:26:14, Epoch: 86, Training loss: 3.9448662
Time_lapsed (hr:mm:ss) --> 00:26:16, Epoch: 86, Training loss: 4.6232276
Time_lapsed (hr:mm:ss) --> 00:26:18, Epoch: 86, Training loss: 4.406571
Time_lapsed (hr:mm:ss) --> 00:26:21, Epoch: 87, Training loss: 3.9128137
Time_lapsed (hr:mm:ss) --> 00:26:23, Epoch: 87, Training loss: 4.7574854
Time_lapsed (hr:mm:ss) --> 00:26:25, Epoch: 87, Training loss: 3.5747497
Time_lapsed (hr:mm:ss) --> 00:26:27, Epoch: 87, Training loss: 4.1982236
Time_lapsed (hr:mm:ss) --> 00:26:29, Epoch: 87, Training loss: 4.1605973
Time_lapsed (hr:mm:ss) --> 00:26:30, Epoch: 87, Training loss: 4.878445
Time_lapsed (hr:mm:ss) --> 00:26:32, Epoch: 87, Training loss: 4.335299
Time_lapsed (hr:mm:ss) --> 00:26:34, Epoch: 87, Training loss: 4.5994506
Time_lapsed (hr:mm:ss) --> 00:26:36, Epoch: 87, Training loss: 4.63199
Time_lapsed (hr:mm:ss) --> 00:26:40, Epoch: 88, Training loss: 4.0174184
Time_lapsed (hr:mm:ss) --> 00:26:42, Epoch: 88, Training loss: 4.8161516
Time_lapsed (hr:mm:ss) --> 00:26:43, Epoch: 88, Training loss: 4.31497
Time_lapsed (hr:mm:ss) --> 00:26:45, Epoch: 88, Training loss: 4.327191
Time_lapsed (hr:mm:ss) --> 00:26:47, Epoch: 88, Training loss: 4.8693647
Time_lapsed (hr:mm:ss) --> 00:26:49, Epoch: 88, Training loss: 4.1112475
Time_lapsed (hr:mm:ss) --> 00:26:51, Epoch: 88, Training loss: 3.597083
Time_lapsed (hr:mm:ss) --> 00:26:53, Epoch: 88, Training loss: 4.6128483
Time_lapsed (hr:mm:ss) --> 00:26:54, Epoch: 88, Training loss: 4.279536
Time_lapsed (hr:mm:ss) --> 00:26:58, Epoch: 89, Training loss: 4.58077
Time_lapsed (hr:mm:ss) --> 00:27:00, Epoch: 89, Training loss: 4.482989
Time_lapsed (hr:mm:ss) --> 00:27:02, Epoch: 89, Training loss: 4.0044103
Time_lapsed (hr:mm:ss) --> 00:27:04, Epoch: 89, Training loss: 3.9422183
Time_lapsed (hr:mm:ss) --> 00:27:05, Epoch: 89, Training loss: 4.4008756
Time_lapsed (hr:mm:ss) --> 00:27:07, Epoch: 89, Training loss: 4.5338516
Time_lapsed (hr:mm:ss) --> 00:27:09, Epoch: 89, Training loss: 4.3043575
Time_lapsed (hr:mm:ss) --> 00:27:11, Epoch: 89, Training loss: 4.509094
Time_lapsed (hr:mm:ss) --> 00:27:13, Epoch: 89, Training loss: 4.025896
Time_lapsed (hr:mm:ss) --> 00:27:16, Epoch: 90, Training loss: 4.039577
Time_lapsed (hr:mm:ss) --> 00:27:18, Epoch: 90, Training loss: 5.1685653
Time_lapsed (hr:mm:ss) --> 00:27:20, Epoch: 90, Training loss: 3.6365058
Time_lapsed (hr:mm:ss) --> 00:27:22, Epoch: 90, Training loss: 4.5151057
Time_lapsed (hr:mm:ss) --> 00:27:24, Epoch: 90, Training loss: 4.5852156
Time_lapsed (hr:mm:ss) --> 00:27:26, Epoch: 90, Training loss: 4.133843
Time_lapsed (hr:mm:ss) --> 00:27:27, Epoch: 90, Training loss: 3.7286365
Time_lapsed (hr:mm:ss) --> 00:27:29, Epoch: 90, Training loss: 5.3839035
Time_lapsed (hr:mm:ss) --> 00:27:31, Epoch: 90, Training loss: 4.1478577
Time_lapsed (hr:mm:ss) --> 00:27:35, Epoch: 91, Training loss: 4.1649985
Time_lapsed (hr:mm:ss) --> 00:27:37, Epoch: 91, Training loss: 4.9589424
Time_lapsed (hr:mm:ss) --> 00:27:38, Epoch: 91, Training loss: 4.169475
Time_lapsed (hr:mm:ss) --> 00:27:40, Epoch: 91, Training loss: 3.9295444
Time_lapsed (hr:mm:ss) --> 00:27:42, Epoch: 91, Training loss: 4.853473
Time_lapsed (hr:mm:ss) --> 00:27:44, Epoch: 91, Training loss: 4.0567093
Time_lapsed (hr:mm:ss) --> 00:27:46, Epoch: 91, Training loss: 3.8755298
Time_lapsed (hr:mm:ss) --> 00:27:48, Epoch: 91, Training loss: 4.247066
Time_lapsed (hr:mm:ss) --> 00:27:49, Epoch: 91, Training loss: 4.8418345
Time_lapsed (hr:mm:ss) --> 00:27:53, Epoch: 92, Training loss: 4.66057
Time_lapsed (hr:mm:ss) --> 00:27:55, Epoch: 92, Training loss: 5.0395317
Time_lapsed (hr:mm:ss) --> 00:27:57, Epoch: 92, Training loss: 3.614242
Time_lapsed (hr:mm:ss) --> 00:27:59, Epoch: 92, Training loss: 4.2348213
Time_lapsed (hr:mm:ss) --> 00:28:00, Epoch: 92, Training loss: 4.3301935
Time_lapsed (hr:mm:ss) --> 00:28:02, Epoch: 92, Training loss: 4.117973
Time_lapsed (hr:mm:ss) --> 00:28:04, Epoch: 92, Training loss: 3.8722517
Time_lapsed (hr:mm:ss) --> 00:28:06, Epoch: 92, Training loss: 4.256046
Time_lapsed (hr:mm:ss) --> 00:28:08, Epoch: 92, Training loss: 4.4982853
Time_lapsed (hr:mm:ss) --> 00:28:11, Epoch: 93, Training loss: 4.317479
Time_lapsed (hr:mm:ss) --> 00:28:13, Epoch: 93, Training loss: 4.714664
Time_lapsed (hr:mm:ss) --> 00:28:15, Epoch: 93, Training loss: 4.0482173
Time_lapsed (hr:mm:ss) --> 00:28:17, Epoch: 93, Training loss: 4.368819
Time_lapsed (hr:mm:ss) --> 00:28:19, Epoch: 93, Training loss: 4.4237566
Time_lapsed (hr:mm:ss) --> 00:28:21, Epoch: 93, Training loss: 5.2447166
Time_lapsed (hr:mm:ss) --> 00:28:23, Epoch: 93, Training loss: 3.6828194
Time_lapsed (hr:mm:ss) --> 00:28:24, Epoch: 93, Training loss: 4.443713
Time_lapsed (hr:mm:ss) --> 00:28:26, Epoch: 93, Training loss: 4.489252
Time_lapsed (hr:mm:ss) --> 00:28:30, Epoch: 94, Training loss: 3.8742535
Time_lapsed (hr:mm:ss) --> 00:28:32, Epoch: 94, Training loss: 4.3633876
Time_lapsed (hr:mm:ss) --> 00:28:34, Epoch: 94, Training loss: 3.608557
Time_lapsed (hr:mm:ss) --> 00:28:35, Epoch: 94, Training loss: 4.36989
Time_lapsed (hr:mm:ss) --> 00:28:37, Epoch: 94, Training loss: 4.4957128
Time_lapsed (hr:mm:ss) --> 00:28:39, Epoch: 94, Training loss: 4.2739925
Time_lapsed (hr:mm:ss) --> 00:28:41, Epoch: 94, Training loss: 3.545856
Time_lapsed (hr:mm:ss) --> 00:28:43, Epoch: 94, Training loss: 4.516921
Time_lapsed (hr:mm:ss) --> 00:28:45, Epoch: 94, Training loss: 4.0989304
Time_lapsed (hr:mm:ss) --> 00:28:48, Epoch: 95, Training loss: 4.6780553
Time_lapsed (hr:mm:ss) --> 00:28:50, Epoch: 95, Training loss: 4.547306
Time_lapsed (hr:mm:ss) --> 00:28:52, Epoch: 95, Training loss: 3.6963816
Time_lapsed (hr:mm:ss) --> 00:28:54, Epoch: 95, Training loss: 4.2212563
Time_lapsed (hr:mm:ss) --> 00:28:56, Epoch: 95, Training loss: 4.150008
Time_lapsed (hr:mm:ss) --> 00:28:57, Epoch: 95, Training loss: 4.094289
Time_lapsed (hr:mm:ss) --> 00:28:59, Epoch: 95, Training loss: 3.751593
Time_lapsed (hr:mm:ss) --> 00:29:01, Epoch: 95, Training loss: 4.308991
Time_lapsed (hr:mm:ss) --> 00:29:03, Epoch: 95, Training loss: 4.444911
Time_lapsed (hr:mm:ss) --> 00:29:06, Epoch: 96, Training loss: 4.127326
Time_lapsed (hr:mm:ss) --> 00:29:08, Epoch: 96, Training loss: 4.880349
Time_lapsed (hr:mm:ss) --> 00:29:10, Epoch: 96, Training loss: 3.8445253
Time_lapsed (hr:mm:ss) --> 00:29:12, Epoch: 96, Training loss: 4.26651
Time_lapsed (hr:mm:ss) --> 00:29:14, Epoch: 96, Training loss: 4.5093336
Time_lapsed (hr:mm:ss) --> 00:29:16, Epoch: 96, Training loss: 4.823333
Time_lapsed (hr:mm:ss) --> 00:29:18, Epoch: 96, Training loss: 3.6737142
Time_lapsed (hr:mm:ss) --> 00:29:19, Epoch: 96, Training loss: 4.346676
Time_lapsed (hr:mm:ss) --> 00:29:21, Epoch: 96, Training loss: 4.7658587
Time_lapsed (hr:mm:ss) --> 00:29:25, Epoch: 97, Training loss: 4.2109413
Time_lapsed (hr:mm:ss) --> 00:29:27, Epoch: 97, Training loss: 4.8681283
Time_lapsed (hr:mm:ss) --> 00:29:28, Epoch: 97, Training loss: 3.668541
Time_lapsed (hr:mm:ss) --> 00:29:30, Epoch: 97, Training loss: 3.999124
Time_lapsed (hr:mm:ss) --> 00:29:32, Epoch: 97, Training loss: 4.11117
Time_lapsed (hr:mm:ss) --> 00:29:34, Epoch: 97, Training loss: 4.2664046
Time_lapsed (hr:mm:ss) --> 00:29:36, Epoch: 97, Training loss: 3.8668983
Time_lapsed (hr:mm:ss) --> 00:29:38, Epoch: 97, Training loss: 4.4363127
Time_lapsed (hr:mm:ss) --> 00:29:40, Epoch: 97, Training loss: 4.285062
Time_lapsed (hr:mm:ss) --> 00:29:43, Epoch: 98, Training loss: 3.9544287
Time_lapsed (hr:mm:ss) --> 00:29:45, Epoch: 98, Training loss: 4.723746
Time_lapsed (hr:mm:ss) --> 00:29:47, Epoch: 98, Training loss: 3.7933104
Time_lapsed (hr:mm:ss) --> 00:29:49, Epoch: 98, Training loss: 4.782464
Time_lapsed (hr:mm:ss) --> 00:29:51, Epoch: 98, Training loss: 3.912467
Time_lapsed (hr:mm:ss) --> 00:29:52, Epoch: 98, Training loss: 4.2816253
Time_lapsed (hr:mm:ss) --> 00:29:54, Epoch: 98, Training loss: 3.5945413
Time_lapsed (hr:mm:ss) --> 00:29:56, Epoch: 98, Training loss: 3.664514
Time_lapsed (hr:mm:ss) --> 00:29:58, Epoch: 98, Training loss: 4.0480485
Time_lapsed (hr:mm:ss) --> 00:30:01, Epoch: 99, Training loss: 4.6233106
Time_lapsed (hr:mm:ss) --> 00:30:03, Epoch: 99, Training loss: 4.1700053
Time_lapsed (hr:mm:ss) --> 00:30:05, Epoch: 99, Training loss: 3.9708433
Time_lapsed (hr:mm:ss) --> 00:30:07, Epoch: 99, Training loss: 4.3399444
Time_lapsed (hr:mm:ss) --> 00:30:09, Epoch: 99, Training loss: 4.5847783
Time_lapsed (hr:mm:ss) --> 00:30:11, Epoch: 99, Training loss: 4.438344
Time_lapsed (hr:mm:ss) --> 00:30:13, Epoch: 99, Training loss: 4.001066
Time_lapsed (hr:mm:ss) --> 00:30:14, Epoch: 99, Training loss: 4.554682
Time_lapsed (hr:mm:ss) --> 00:30:16, Epoch: 99, Training loss: 4.1715274
Time_lapsed (hr:mm:ss) --> 00:30:20, Epoch: 100, Training loss: 3.9341242
Time_lapsed (hr:mm:ss) --> 00:30:22, Epoch: 100, Training loss: 4.867612
Time_lapsed (hr:mm:ss) --> 00:30:24, Epoch: 100, Training loss: 3.882314
Time_lapsed (hr:mm:ss) --> 00:30:25, Epoch: 100, Training loss: 4.3847947
Time_lapsed (hr:mm:ss) --> 00:30:27, Epoch: 100, Training loss: 4.362278
Time_lapsed (hr:mm:ss) --> 00:30:29, Epoch: 100, Training loss: 4.508375
Time_lapsed (hr:mm:ss) --> 00:30:31, Epoch: 100, Training loss: 4.1180634
Time_lapsed (hr:mm:ss) --> 00:30:33, Epoch: 100, Training loss: 4.111415
Time_lapsed (hr:mm:ss) --> 00:30:35, Epoch: 100, Training loss: 4.2415504
Time_lapsed (hr:mm:ss) --> 00:30:38, Epoch: 101, Training loss: 4.5098057
Time_lapsed (hr:mm:ss) --> 00:30:40, Epoch: 101, Training loss: 4.8983197
Time_lapsed (hr:mm:ss) --> 00:30:42, Epoch: 101, Training loss: 3.714558
Time_lapsed (hr:mm:ss) --> 00:30:44, Epoch: 101, Training loss: 4.5844274
Time_lapsed (hr:mm:ss) --> 00:30:46, Epoch: 101, Training loss: 4.295167
Time_lapsed (hr:mm:ss) --> 00:30:47, Epoch: 101, Training loss: 4.0519643
Time_lapsed (hr:mm:ss) --> 00:30:49, Epoch: 101, Training loss: 3.956031
Time_lapsed (hr:mm:ss) --> 00:30:51, Epoch: 101, Training loss: 4.075903
Time_lapsed (hr:mm:ss) --> 00:30:53, Epoch: 101, Training loss: 4.1707153
Time_lapsed (hr:mm:ss) --> 00:30:57, Epoch: 102, Training loss: 4.3274465
Time_lapsed (hr:mm:ss) --> 00:30:58, Epoch: 102, Training loss: 4.865552
Time_lapsed (hr:mm:ss) --> 00:31:00, Epoch: 102, Training loss: 3.55695
Time_lapsed (hr:mm:ss) --> 00:31:02, Epoch: 102, Training loss: 3.9196126
Time_lapsed (hr:mm:ss) --> 00:31:04, Epoch: 102, Training loss: 3.9904366
Time_lapsed (hr:mm:ss) --> 00:31:06, Epoch: 102, Training loss: 3.8980808
Time_lapsed (hr:mm:ss) --> 00:31:08, Epoch: 102, Training loss: 3.7996793
Time_lapsed (hr:mm:ss) --> 00:31:09, Epoch: 102, Training loss: 4.7322884
Time_lapsed (hr:mm:ss) --> 00:31:11, Epoch: 102, Training loss: 4.102669
Time_lapsed (hr:mm:ss) --> 00:31:15, Epoch: 103, Training loss: 3.993401
Time_lapsed (hr:mm:ss) --> 00:31:17, Epoch: 103, Training loss: 5.063814
Time_lapsed (hr:mm:ss) --> 00:31:19, Epoch: 103, Training loss: 3.2548356
Time_lapsed (hr:mm:ss) --> 00:31:20, Epoch: 103, Training loss: 4.062089
Time_lapsed (hr:mm:ss) --> 00:31:22, Epoch: 103, Training loss: 4.2418084
Time_lapsed (hr:mm:ss) --> 00:31:24, Epoch: 103, Training loss: 4.2076406
Time_lapsed (hr:mm:ss) --> 00:31:26, Epoch: 103, Training loss: 3.7436445
Time_lapsed (hr:mm:ss) --> 00:31:28, Epoch: 103, Training loss: 4.3520856
Time_lapsed (hr:mm:ss) --> 00:31:30, Epoch: 103, Training loss: 4.732791
Time_lapsed (hr:mm:ss) --> 00:31:33, Epoch: 104, Training loss: 4.9296646
Time_lapsed (hr:mm:ss) --> 00:31:35, Epoch: 104, Training loss: 5.147839
Time_lapsed (hr:mm:ss) --> 00:31:37, Epoch: 104, Training loss: 3.9935002
Time_lapsed (hr:mm:ss) --> 00:31:39, Epoch: 104, Training loss: 3.784576
Time_lapsed (hr:mm:ss) --> 00:31:41, Epoch: 104, Training loss: 4.6439095
Time_lapsed (hr:mm:ss) --> 00:31:42, Epoch: 104, Training loss: 4.0399504
Time_lapsed (hr:mm:ss) --> 00:31:44, Epoch: 104, Training loss: 4.041905
Time_lapsed (hr:mm:ss) --> 00:31:46, Epoch: 104, Training loss: 4.2804966
Time_lapsed (hr:mm:ss) --> 00:31:48, Epoch: 104, Training loss: 4.411388
Time_lapsed (hr:mm:ss) --> 00:31:52, Epoch: 105, Training loss: 4.1059732
Time_lapsed (hr:mm:ss) --> 00:31:54, Epoch: 105, Training loss: 4.814739
Time_lapsed (hr:mm:ss) --> 00:31:55, Epoch: 105, Training loss: 3.6599667
Time_lapsed (hr:mm:ss) --> 00:31:57, Epoch: 105, Training loss: 3.9903708
Time_lapsed (hr:mm:ss) --> 00:31:59, Epoch: 105, Training loss: 3.8436189
Time_lapsed (hr:mm:ss) --> 00:32:01, Epoch: 105, Training loss: 4.626524
Time_lapsed (hr:mm:ss) --> 00:32:03, Epoch: 105, Training loss: 3.782395
Time_lapsed (hr:mm:ss) --> 00:32:04, Epoch: 105, Training loss: 4.6854553
Time_lapsed (hr:mm:ss) --> 00:32:06, Epoch: 105, Training loss: 3.8730435
Time_lapsed (hr:mm:ss) --> 00:32:10, Epoch: 106, Training loss: 3.948986
Time_lapsed (hr:mm:ss) --> 00:32:12, Epoch: 106, Training loss: 4.9237003
Time_lapsed (hr:mm:ss) --> 00:32:14, Epoch: 106, Training loss: 3.9849658
Time_lapsed (hr:mm:ss) --> 00:32:15, Epoch: 106, Training loss: 4.0653424
Time_lapsed (hr:mm:ss) --> 00:32:17, Epoch: 106, Training loss: 4.2863913
Time_lapsed (hr:mm:ss) --> 00:32:19, Epoch: 106, Training loss: 4.456814
Time_lapsed (hr:mm:ss) --> 00:32:21, Epoch: 106, Training loss: 4.095429
Time_lapsed (hr:mm:ss) --> 00:32:23, Epoch: 106, Training loss: 4.5926685
Time_lapsed (hr:mm:ss) --> 00:32:25, Epoch: 106, Training loss: 4.1341324
Time_lapsed (hr:mm:ss) --> 00:32:28, Epoch: 107, Training loss: 4.0696397
Time_lapsed (hr:mm:ss) --> 00:32:30, Epoch: 107, Training loss: 4.827162
Time_lapsed (hr:mm:ss) --> 00:32:32, Epoch: 107, Training loss: 3.5711017
Time_lapsed (hr:mm:ss) --> 00:32:34, Epoch: 107, Training loss: 4.124372
Time_lapsed (hr:mm:ss) --> 00:32:36, Epoch: 107, Training loss: 3.6247923
Time_lapsed (hr:mm:ss) --> 00:32:38, Epoch: 107, Training loss: 4.293764
Time_lapsed (hr:mm:ss) --> 00:32:39, Epoch: 107, Training loss: 3.7354467
Time_lapsed (hr:mm:ss) --> 00:32:41, Epoch: 107, Training loss: 4.8537617
Time_lapsed (hr:mm:ss) --> 00:32:43, Epoch: 107, Training loss: 4.915578
Time_lapsed (hr:mm:ss) --> 00:32:47, Epoch: 108, Training loss: 3.8487763
Time_lapsed (hr:mm:ss) --> 00:32:49, Epoch: 108, Training loss: 4.671503
Time_lapsed (hr:mm:ss) --> 00:32:50, Epoch: 108, Training loss: 3.8239179
Time_lapsed (hr:mm:ss) --> 00:32:52, Epoch: 108, Training loss: 4.075039
Time_lapsed (hr:mm:ss) --> 00:32:54, Epoch: 108, Training loss: 3.900376
Time_lapsed (hr:mm:ss) --> 00:32:56, Epoch: 108, Training loss: 4.350293
Time_lapsed (hr:mm:ss) --> 00:32:58, Epoch: 108, Training loss: 3.7810533
Time_lapsed (hr:mm:ss) --> 00:33:00, Epoch: 108, Training loss: 4.448875
Time_lapsed (hr:mm:ss) --> 00:33:01, Epoch: 108, Training loss: 4.1363363
Time_lapsed (hr:mm:ss) --> 00:33:05, Epoch: 109, Training loss: 4.6013875
Time_lapsed (hr:mm:ss) --> 00:33:07, Epoch: 109, Training loss: 4.358473
Time_lapsed (hr:mm:ss) --> 00:33:09, Epoch: 109, Training loss: 3.7575336
Time_lapsed (hr:mm:ss) --> 00:33:11, Epoch: 109, Training loss: 4.430563
Time_lapsed (hr:mm:ss) --> 00:33:13, Epoch: 109, Training loss: 4.4050484
Time_lapsed (hr:mm:ss) --> 00:33:14, Epoch: 109, Training loss: 4.393006
Time_lapsed (hr:mm:ss) --> 00:33:16, Epoch: 109, Training loss: 3.7845643
Time_lapsed (hr:mm:ss) --> 00:33:18, Epoch: 109, Training loss: 4.0836744
Time_lapsed (hr:mm:ss) --> 00:33:20, Epoch: 109, Training loss: 4.1805596
Time_lapsed (hr:mm:ss) --> 00:33:24, Epoch: 110, Training loss: 4.3018923
Time_lapsed (hr:mm:ss) --> 00:33:25, Epoch: 110, Training loss: 4.8658676
Time_lapsed (hr:mm:ss) --> 00:33:27, Epoch: 110, Training loss: 3.6809459
Time_lapsed (hr:mm:ss) --> 00:33:29, Epoch: 110, Training loss: 3.5649228
Time_lapsed (hr:mm:ss) --> 00:33:31, Epoch: 110, Training loss: 4.1762457
Time_lapsed (hr:mm:ss) --> 00:33:33, Epoch: 110, Training loss: 3.873741
Time_lapsed (hr:mm:ss) --> 00:33:35, Epoch: 110, Training loss: 3.8495986
Time_lapsed (hr:mm:ss) --> 00:33:36, Epoch: 110, Training loss: 4.283637
Time_lapsed (hr:mm:ss) --> 00:33:38, Epoch: 110, Training loss: 4.410616
Time_lapsed (hr:mm:ss) --> 00:33:42, Epoch: 111, Training loss: 4.058472
Time_lapsed (hr:mm:ss) --> 00:33:44, Epoch: 111, Training loss: 4.1672716
Time_lapsed (hr:mm:ss) --> 00:33:46, Epoch: 111, Training loss: 3.185227
Time_lapsed (hr:mm:ss) --> 00:33:47, Epoch: 111, Training loss: 4.424868
Time_lapsed (hr:mm:ss) --> 00:33:49, Epoch: 111, Training loss: 4.3835235
Time_lapsed (hr:mm:ss) --> 00:33:51, Epoch: 111, Training loss: 4.4187665
Time_lapsed (hr:mm:ss) --> 00:33:53, Epoch: 111, Training loss: 3.5700233
Time_lapsed (hr:mm:ss) --> 00:33:55, Epoch: 111, Training loss: 4.287505
Time_lapsed (hr:mm:ss) --> 00:33:57, Epoch: 111, Training loss: 4.9052157
Time_lapsed (hr:mm:ss) --> 00:34:00, Epoch: 112, Training loss: 3.8057218