-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathstdout.9443671.venus01
1364 lines (1364 loc) · 112 KB
/
stdout.9443671.venus01
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
Not using distributed mode
[14:40:42.775549] job dir: /home/svu/e1100476/Project/SSL/mae
[14:40:42.775667] Namespace(batch_size=512,
epochs=90,
accum_iter=1,
model='vit_base_patch16',
weight_decay=0,
lr=None,
blr=0.1,
min_lr=0.0,
warmup_epochs=10,
finetune='/hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/checkpoint-399.pth',
global_pool=False,
data_path='/hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Dataset/retina images/linprobe',
nb_classes=5,
output_dir='/hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe',
log_dir='/hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe',
device='cuda',
seed=0,
resume='',
start_epoch=0,
eval=False,
dist_eval=False,
num_workers=10,
pin_mem=True,
world_size=1,
local_rank=-1,
dist_on_itp=False,
dist_url='env://',
distributed=False)
[14:40:42.796913] Dataset ImageFolder
Number of datapoints: 2929
Root location: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Dataset/retina images/linprobe/train
StandardTransform
Transform: Compose(
RandomResizedCrop(size=(224, 224), scale=(0.08, 1.0), ratio=(0.75, 1.3333), interpolation=bicubic, antialias=warn)
RandomHorizontalFlip(p=0.5)
ToTensor()
Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
)
[14:40:42.796981] Dataset ImageFolder
Number of datapoints: 733
Root location: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Dataset/retina images/linprobe/val
StandardTransform
Transform: Compose(
Resize(size=256, interpolation=bicubic, max_size=None, antialias=warn)
CenterCrop(size=(224, 224))
ToTensor()
Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
)
[14:40:42.797036] Sampler_train = <torch.utils.data.distributed.DistributedSampler object at 0x2b8858c2fdf0>
[14:41:19.125632] Load pre-trained checkpoint from: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/checkpoint-399.pth
[14:41:19.148301] _IncompatibleKeys(missing_keys=['head.weight', 'head.bias'], unexpected_keys=['mask_token', 'decoder_pos_embed', 'decoder_embed.weight', 'decoder_embed.bias', 'decoder_blocks.0.norm1.weight', 'decoder_blocks.0.norm1.bias', 'decoder_blocks.0.attn.qkv.weight', 'decoder_blocks.0.attn.qkv.bias', 'decoder_blocks.0.attn.proj.weight', 'decoder_blocks.0.attn.proj.bias', 'decoder_blocks.0.norm2.weight', 'decoder_blocks.0.norm2.bias', 'decoder_blocks.0.mlp.fc1.weight', 'decoder_blocks.0.mlp.fc1.bias', 'decoder_blocks.0.mlp.fc2.weight', 'decoder_blocks.0.mlp.fc2.bias', 'decoder_blocks.1.norm1.weight', 'decoder_blocks.1.norm1.bias', 'decoder_blocks.1.attn.qkv.weight', 'decoder_blocks.1.attn.qkv.bias', 'decoder_blocks.1.attn.proj.weight', 'decoder_blocks.1.attn.proj.bias', 'decoder_blocks.1.norm2.weight', 'decoder_blocks.1.norm2.bias', 'decoder_blocks.1.mlp.fc1.weight', 'decoder_blocks.1.mlp.fc1.bias', 'decoder_blocks.1.mlp.fc2.weight', 'decoder_blocks.1.mlp.fc2.bias', 'decoder_blocks.2.norm1.weight', 'decoder_blocks.2.norm1.bias', 'decoder_blocks.2.attn.qkv.weight', 'decoder_blocks.2.attn.qkv.bias', 'decoder_blocks.2.attn.proj.weight', 'decoder_blocks.2.attn.proj.bias', 'decoder_blocks.2.norm2.weight', 'decoder_blocks.2.norm2.bias', 'decoder_blocks.2.mlp.fc1.weight', 'decoder_blocks.2.mlp.fc1.bias', 'decoder_blocks.2.mlp.fc2.weight', 'decoder_blocks.2.mlp.fc2.bias', 'decoder_blocks.3.norm1.weight', 'decoder_blocks.3.norm1.bias', 'decoder_blocks.3.attn.qkv.weight', 'decoder_blocks.3.attn.qkv.bias', 'decoder_blocks.3.attn.proj.weight', 'decoder_blocks.3.attn.proj.bias', 'decoder_blocks.3.norm2.weight', 'decoder_blocks.3.norm2.bias', 'decoder_blocks.3.mlp.fc1.weight', 'decoder_blocks.3.mlp.fc1.bias', 'decoder_blocks.3.mlp.fc2.weight', 'decoder_blocks.3.mlp.fc2.bias', 'decoder_blocks.4.norm1.weight', 'decoder_blocks.4.norm1.bias', 'decoder_blocks.4.attn.qkv.weight', 'decoder_blocks.4.attn.qkv.bias', 'decoder_blocks.4.attn.proj.weight', 'decoder_blocks.4.attn.proj.bias', 'decoder_blocks.4.norm2.weight', 'decoder_blocks.4.norm2.bias', 'decoder_blocks.4.mlp.fc1.weight', 'decoder_blocks.4.mlp.fc1.bias', 'decoder_blocks.4.mlp.fc2.weight', 'decoder_blocks.4.mlp.fc2.bias', 'decoder_blocks.5.norm1.weight', 'decoder_blocks.5.norm1.bias', 'decoder_blocks.5.attn.qkv.weight', 'decoder_blocks.5.attn.qkv.bias', 'decoder_blocks.5.attn.proj.weight', 'decoder_blocks.5.attn.proj.bias', 'decoder_blocks.5.norm2.weight', 'decoder_blocks.5.norm2.bias', 'decoder_blocks.5.mlp.fc1.weight', 'decoder_blocks.5.mlp.fc1.bias', 'decoder_blocks.5.mlp.fc2.weight', 'decoder_blocks.5.mlp.fc2.bias', 'decoder_blocks.6.norm1.weight', 'decoder_blocks.6.norm1.bias', 'decoder_blocks.6.attn.qkv.weight', 'decoder_blocks.6.attn.qkv.bias', 'decoder_blocks.6.attn.proj.weight', 'decoder_blocks.6.attn.proj.bias', 'decoder_blocks.6.norm2.weight', 'decoder_blocks.6.norm2.bias', 'decoder_blocks.6.mlp.fc1.weight', 'decoder_blocks.6.mlp.fc1.bias', 'decoder_blocks.6.mlp.fc2.weight', 'decoder_blocks.6.mlp.fc2.bias', 'decoder_blocks.7.norm1.weight', 'decoder_blocks.7.norm1.bias', 'decoder_blocks.7.attn.qkv.weight', 'decoder_blocks.7.attn.qkv.bias', 'decoder_blocks.7.attn.proj.weight', 'decoder_blocks.7.attn.proj.bias', 'decoder_blocks.7.norm2.weight', 'decoder_blocks.7.norm2.bias', 'decoder_blocks.7.mlp.fc1.weight', 'decoder_blocks.7.mlp.fc1.bias', 'decoder_blocks.7.mlp.fc2.weight', 'decoder_blocks.7.mlp.fc2.bias', 'decoder_norm.weight', 'decoder_norm.bias', 'decoder_pred.weight', 'decoder_pred.bias'])
[14:41:22.404574] Model = VisionTransformer(
(patch_embed): PatchEmbed(
(proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16))
(norm): Identity()
)
(pos_drop): Dropout(p=0.0, inplace=False)
(patch_drop): Identity()
(norm_pre): Identity()
(blocks): Sequential(
(0): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(1): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(2): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(3): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(4): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(5): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(6): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(7): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(8): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(9): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(10): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
(11): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(q_norm): Identity()
(k_norm): Identity()
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(ls1): Identity()
(drop_path1): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU(approximate='none')
(drop1): Dropout(p=0.0, inplace=False)
(norm): Identity()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop2): Dropout(p=0.0, inplace=False)
)
(ls2): Identity()
(drop_path2): Identity()
)
)
(norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(fc_norm): Identity()
(head_drop): Dropout(p=0.0, inplace=False)
(head): Sequential(
(0): BatchNorm1d(768, eps=1e-06, momentum=0.1, affine=False, track_running_stats=True)
(1): Linear(in_features=768, out_features=5, bias=True)
)
)
[14:41:22.404644] number of params (M): 0.00
[14:41:22.404660] base lr: 1.00e-01
[14:41:22.404666] actual lr: 2.00e-01
[14:41:22.404670] accumulate grad iterations: 1
[14:41:22.404674] effective batch size: 512
[14:41:22.404785] LARS (
Parameter Group 0
lr: 0.2
momentum: 0.9
trust_coefficient: 0.001
weight_decay: 0
)
[14:41:22.404921] criterion = CrossEntropyLoss()
[14:41:22.404934] Start training for 90 epochs
[14:41:22.406196] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:41:31.856641] Epoch: [0] [0/5] eta: 0:00:47 lr: 0.000000 loss: 1.6462 (1.6462) time: 9.4496 data: 3.6743 max mem: 2701
[14:41:33.375537] Epoch: [0] [4/5] eta: 0:00:02 lr: 0.016000 loss: 1.6612 (1.6596) time: 2.1936 data: 0.7349 max mem: 2710
[14:41:33.510603] Epoch: [0] Total time: 0:00:11 (2.2209 s / it)
[14:41:33.510668] Averaged stats: lr: 0.016000 loss: 1.6612 (1.6596)
[14:41:45.317594] Test: [0/2] eta: 0:00:07 loss: 1.5698 (1.5698) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.7277 data: 3.3449 max mem: 2710
[14:41:45.821753] Test: [1/2] eta: 0:00:02 loss: 1.5698 (1.5708) acc1: 46.4844 (49.1132) acc5: 100.0000 (100.0000) time: 2.1157 data: 1.6725 max mem: 2710
[14:41:45.949871] Test: Total time: 0:00:04 (2.1804 s / it)
[14:41:45.949923] * Acc@1 49.113 Acc@5 100.000 loss 1.571
[14:41:45.950015] Accuracy of the network on the 733 test images: 49.1%
[14:41:45.950025] Max accuracy: 49.11%
[14:41:45.959620] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:41:49.470315] Epoch: [1] [0/5] eta: 0:00:17 lr: 0.020000 loss: 1.6268 (1.6268) time: 3.5100 data: 3.1181 max mem: 2710
[14:41:51.001015] Epoch: [1] [4/5] eta: 0:00:01 lr: 0.036000 loss: 1.6268 (1.6112) time: 1.0080 data: 0.6237 max mem: 2710
[14:41:51.143293] Epoch: [1] Total time: 0:00:05 (1.0367 s / it)
[14:41:51.143352] Averaged stats: lr: 0.036000 loss: 1.6268 (1.6112)
[14:41:58.426061] Test: [0/2] eta: 0:00:06 loss: 1.4709 (1.4709) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.2143 data: 2.8363 max mem: 2710
[14:41:58.591302] Test: [1/2] eta: 0:00:01 loss: 1.4709 (1.4918) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.6896 data: 1.4182 max mem: 2710
[14:41:58.708750] Test: Total time: 0:00:03 (1.7488 s / it)
[14:41:58.708798] * Acc@1 49.250 Acc@5 100.000 loss 1.492
[14:41:58.708911] Accuracy of the network on the 733 test images: 49.2%
[14:41:58.708921] Max accuracy: 49.25%
[14:41:58.715527] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:42:02.065653] Epoch: [2] [0/5] eta: 0:00:16 lr: 0.040000 loss: 1.5292 (1.5292) time: 3.3493 data: 2.9551 max mem: 2710
[14:42:03.661528] Epoch: [2] [4/5] eta: 0:00:00 lr: 0.056000 loss: 1.4991 (1.4986) time: 0.9889 data: 0.6012 max mem: 2710
[14:42:03.809725] Epoch: [2] Total time: 0:00:05 (1.0188 s / it)
[14:42:03.809789] Averaged stats: lr: 0.056000 loss: 1.4991 (1.4986)
[14:42:12.259135] Test: [0/2] eta: 0:00:06 loss: 1.3255 (1.3255) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.2014 data: 2.8269 max mem: 2710
[14:42:12.422901] Test: [1/2] eta: 0:00:01 loss: 1.3255 (1.3847) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.6824 data: 1.4135 max mem: 2710
[14:42:12.532367] Test: Total time: 0:00:03 (1.7376 s / it)
[14:42:12.532418] * Acc@1 49.250 Acc@5 100.000 loss 1.385
[14:42:12.532515] Accuracy of the network on the 733 test images: 49.2%
[14:42:12.532525] Max accuracy: 49.25%
[14:42:12.540534] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:42:16.232639] Epoch: [3] [0/5] eta: 0:00:18 lr: 0.060000 loss: 1.3914 (1.3914) time: 3.6914 data: 3.3012 max mem: 2710
[14:42:17.753180] Epoch: [3] [4/5] eta: 0:00:01 lr: 0.076000 loss: 1.3914 (1.3886) time: 1.0423 data: 0.6603 max mem: 2710
[14:42:17.906182] Epoch: [3] Total time: 0:00:05 (1.0731 s / it)
[14:42:17.906244] Averaged stats: lr: 0.076000 loss: 1.3914 (1.3886)
[14:42:25.262364] Test: [0/2] eta: 0:00:06 loss: 1.2409 (1.2409) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.2593 data: 2.8759 max mem: 2710
[14:42:25.428083] Test: [1/2] eta: 0:00:01 loss: 1.2409 (1.3540) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.7123 data: 1.4380 max mem: 2710
[14:42:25.548904] Test: Total time: 0:00:03 (1.7732 s / it)
[14:42:25.548951] * Acc@1 49.250 Acc@5 100.000 loss 1.354
[14:42:25.549050] Accuracy of the network on the 733 test images: 49.2%
[14:42:25.549060] Max accuracy: 49.25%
[14:42:25.555794] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:42:29.310020] Epoch: [4] [0/5] eta: 0:00:18 lr: 0.080000 loss: 1.3040 (1.3040) time: 3.7535 data: 3.3601 max mem: 2710
[14:42:30.868300] Epoch: [4] [4/5] eta: 0:00:01 lr: 0.096000 loss: 1.3316 (1.3519) time: 1.0623 data: 0.6768 max mem: 2710
[14:42:31.014032] Epoch: [4] Total time: 0:00:05 (1.0916 s / it)
[14:42:31.014093] Averaged stats: lr: 0.096000 loss: 1.3316 (1.3519)
[14:42:38.330782] Test: [0/2] eta: 0:00:06 loss: 1.2153 (1.2153) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.2347 data: 2.8597 max mem: 2710
[14:42:38.497502] Test: [1/2] eta: 0:00:01 loss: 1.2153 (1.3965) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.7005 data: 1.4299 max mem: 2710
[14:42:38.612555] Test: Total time: 0:00:03 (1.7585 s / it)
[14:42:38.612601] * Acc@1 49.250 Acc@5 100.000 loss 1.397
[14:42:38.612698] Accuracy of the network on the 733 test images: 49.2%
[14:42:38.612708] Max accuracy: 49.25%
[14:42:38.619924] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:42:41.853479] Epoch: [5] [0/5] eta: 0:00:16 lr: 0.100000 loss: 1.3038 (1.3038) time: 3.2328 data: 2.8383 max mem: 2710
[14:42:43.617171] Epoch: [5] [4/5] eta: 0:00:00 lr: 0.116000 loss: 1.3368 (1.3592) time: 0.9992 data: 0.6111 max mem: 2710
[14:42:43.761456] Epoch: [5] Total time: 0:00:05 (1.0283 s / it)
[14:42:43.761518] Averaged stats: lr: 0.116000 loss: 1.3368 (1.3592)
[14:42:51.036555] Test: [0/2] eta: 0:00:06 loss: 1.1732 (1.1732) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.3886 data: 3.0141 max mem: 2710
[14:42:51.200471] Test: [1/2] eta: 0:00:01 loss: 1.1732 (1.4304) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.7760 data: 1.5071 max mem: 2710
[14:42:51.314617] Test: Total time: 0:00:03 (1.8336 s / it)
[14:42:51.314665] * Acc@1 49.250 Acc@5 100.000 loss 1.430
[14:42:51.314760] Accuracy of the network on the 733 test images: 49.2%
[14:42:51.314770] Max accuracy: 49.25%
[14:42:51.323233] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:42:54.690988] Epoch: [6] [0/5] eta: 0:00:16 lr: 0.120000 loss: 1.2983 (1.2983) time: 3.3670 data: 2.9756 max mem: 2710
[14:42:56.406937] Epoch: [6] [4/5] eta: 0:00:01 lr: 0.136000 loss: 1.3185 (1.3396) time: 1.0165 data: 0.6326 max mem: 2710
[14:42:56.551665] Epoch: [6] Total time: 0:00:05 (1.0457 s / it)
[14:42:56.551730] Averaged stats: lr: 0.136000 loss: 1.3185 (1.3396)
[14:43:03.946384] Test: [0/2] eta: 0:00:06 loss: 1.1336 (1.1336) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.1777 data: 2.7988 max mem: 2710
[14:43:04.112705] Test: [1/2] eta: 0:00:01 loss: 1.1336 (1.4456) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.6718 data: 1.3994 max mem: 2710
[14:43:04.224742] Test: Total time: 0:00:03 (1.7284 s / it)
[14:43:04.224792] * Acc@1 49.250 Acc@5 100.000 loss 1.446
[14:43:04.224890] Accuracy of the network on the 733 test images: 49.2%
[14:43:04.224900] Max accuracy: 49.25%
[14:43:04.232214] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:43:07.511923] Epoch: [7] [0/5] eta: 0:00:16 lr: 0.140000 loss: 1.2806 (1.2806) time: 3.2790 data: 2.8847 max mem: 2710
[14:43:09.105414] Epoch: [7] [4/5] eta: 0:00:00 lr: 0.156000 loss: 1.3015 (1.3235) time: 0.9744 data: 0.5870 max mem: 2710
[14:43:09.249567] Epoch: [7] Total time: 0:00:05 (1.0035 s / it)
[14:43:09.249632] Averaged stats: lr: 0.156000 loss: 1.3015 (1.3235)
[14:43:16.050708] Test: [0/2] eta: 0:00:06 loss: 1.1236 (1.1236) acc1: 45.3125 (45.3125) acc5: 100.0000 (100.0000) time: 3.1540 data: 2.7696 max mem: 2710
[14:43:16.217100] Test: [1/2] eta: 0:00:01 loss: 1.1236 (1.4319) acc1: 45.3125 (47.3397) acc5: 100.0000 (100.0000) time: 1.6600 data: 1.3848 max mem: 2710
[14:43:16.339029] Test: Total time: 0:00:03 (1.7215 s / it)
[14:43:16.339080] * Acc@1 47.340 Acc@5 100.000 loss 1.432
[14:43:16.339198] Accuracy of the network on the 733 test images: 47.3%
[14:43:16.339208] Max accuracy: 49.25%
[14:43:16.347941] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:43:19.665746] Epoch: [8] [0/5] eta: 0:00:16 lr: 0.160000 loss: 1.2688 (1.2688) time: 3.3171 data: 2.9239 max mem: 2710
[14:43:21.385190] Epoch: [8] [4/5] eta: 0:00:01 lr: 0.176000 loss: 1.2787 (1.2953) time: 1.0072 data: 0.6221 max mem: 2710
[14:43:21.535456] Epoch: [8] Total time: 0:00:05 (1.0375 s / it)
[14:43:21.535519] Averaged stats: lr: 0.176000 loss: 1.2787 (1.2953)
[14:43:28.228164] Test: [0/2] eta: 0:00:06 loss: 1.1375 (1.1375) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.2050 data: 2.8288 max mem: 2710
[14:43:28.393114] Test: [1/2] eta: 0:00:01 loss: 1.1375 (1.3897) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.6848 data: 1.4144 max mem: 2710
[14:43:28.509020] Test: Total time: 0:00:03 (1.7432 s / it)
[14:43:28.509067] * Acc@1 49.250 Acc@5 100.000 loss 1.390
[14:43:28.509170] Accuracy of the network on the 733 test images: 49.2%
[14:43:28.509180] Max accuracy: 49.25%
[14:43:28.517388] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:43:32.100479] Epoch: [9] [0/5] eta: 0:00:17 lr: 0.180000 loss: 1.2477 (1.2477) time: 3.5824 data: 3.1919 max mem: 2710
[14:43:33.817483] Epoch: [9] [4/5] eta: 0:00:01 lr: 0.196000 loss: 1.2563 (1.2732) time: 1.0598 data: 0.6756 max mem: 2710
[14:43:33.967208] Epoch: [9] Total time: 0:00:05 (1.0899 s / it)
[14:43:33.967271] Averaged stats: lr: 0.196000 loss: 1.2563 (1.2732)
[14:43:41.228730] Test: [0/2] eta: 0:00:06 loss: 1.1627 (1.1627) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.0060 data: 2.6267 max mem: 2710
[14:43:41.395823] Test: [1/2] eta: 0:00:01 loss: 1.1627 (1.3589) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.5863 data: 1.3134 max mem: 2710
[14:43:41.491859] Test: Total time: 0:00:03 (1.6348 s / it)
[14:43:41.491910] * Acc@1 49.250 Acc@5 100.000 loss 1.359
[14:43:41.492011] Accuracy of the network on the 733 test images: 49.2%
[14:43:41.492021] Max accuracy: 49.25%
[14:43:41.499289] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:43:44.661670] Epoch: [10] [0/5] eta: 0:00:15 lr: 0.200000 loss: 1.2328 (1.2328) time: 3.1616 data: 2.7667 max mem: 2710
[14:43:46.577789] Epoch: [10] [4/5] eta: 0:00:01 lr: 0.199951 loss: 1.2444 (1.2586) time: 1.0154 data: 0.6294 max mem: 2710
[14:43:46.722111] Epoch: [10] Total time: 0:00:05 (1.0446 s / it)
[14:43:46.722181] Averaged stats: lr: 0.199951 loss: 1.2444 (1.2586)
[14:43:53.551991] Test: [0/2] eta: 0:00:06 loss: 1.1590 (1.1590) acc1: 46.4844 (46.4844) acc5: 100.0000 (100.0000) time: 3.2318 data: 2.8556 max mem: 2710
[14:43:53.718261] Test: [1/2] eta: 0:00:01 loss: 1.1590 (1.3394) acc1: 46.4844 (49.2497) acc5: 100.0000 (100.0000) time: 1.6988 data: 1.4278 max mem: 2710
[14:43:53.819763] Test: Total time: 0:00:03 (1.7501 s / it)
[14:43:53.819813] * Acc@1 49.250 Acc@5 100.000 loss 1.339
[14:43:53.819915] Accuracy of the network on the 733 test images: 49.2%
[14:43:53.819925] Max accuracy: 49.25%
[14:43:53.827449] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:43:57.012109] Epoch: [11] [0/5] eta: 0:00:15 lr: 0.199923 loss: 1.2329 (1.2329) time: 3.1840 data: 2.7831 max mem: 2710
[14:43:58.893546] Epoch: [11] [4/5] eta: 0:00:01 lr: 0.199750 loss: 1.2385 (1.2437) time: 1.0130 data: 0.6265 max mem: 2710
[14:43:59.034113] Epoch: [11] Total time: 0:00:05 (1.0413 s / it)
[14:43:59.034185] Averaged stats: lr: 0.199750 loss: 1.2385 (1.2437)
[14:44:06.403106] Test: [0/2] eta: 0:00:06 loss: 1.1321 (1.1321) acc1: 46.0938 (46.0938) acc5: 100.0000 (100.0000) time: 3.2522 data: 2.8707 max mem: 2710
[14:44:06.566847] Test: [1/2] eta: 0:00:01 loss: 1.1321 (1.3259) acc1: 46.0938 (48.8404) acc5: 100.0000 (100.0000) time: 1.7078 data: 1.4354 max mem: 2710
[14:44:06.690720] Test: Total time: 0:00:03 (1.7702 s / it)
[14:44:06.690770] * Acc@1 48.840 Acc@5 100.000 loss 1.326
[14:44:06.690868] Accuracy of the network on the 733 test images: 48.8%
[14:44:06.690878] Max accuracy: 49.25%
[14:44:06.697937] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:44:10.038226] Epoch: [12] [0/5] eta: 0:00:16 lr: 0.199692 loss: 1.1945 (1.1945) time: 3.3396 data: 2.9476 max mem: 2710
[14:44:11.783148] Epoch: [12] [4/5] eta: 0:00:01 lr: 0.199396 loss: 1.2028 (1.2257) time: 1.0168 data: 0.6320 max mem: 2710
[14:44:11.930384] Epoch: [12] Total time: 0:00:05 (1.0465 s / it)
[14:44:11.930446] Averaged stats: lr: 0.199396 loss: 1.2028 (1.2257)
[14:44:18.807006] Test: [0/2] eta: 0:00:06 loss: 1.1055 (1.1055) acc1: 47.4609 (47.4609) acc5: 100.0000 (100.0000) time: 3.0508 data: 2.6733 max mem: 2710
[14:44:18.973450] Test: [1/2] eta: 0:00:01 loss: 1.1055 (1.3128) acc1: 47.4609 (49.3861) acc5: 100.0000 (100.0000) time: 1.6084 data: 1.3367 max mem: 2710
[14:44:19.076265] Test: Total time: 0:00:03 (1.6603 s / it)
[14:44:19.076312] * Acc@1 49.386 Acc@5 100.000 loss 1.313
[14:44:19.076406] Accuracy of the network on the 733 test images: 49.4%
[14:44:19.076416] Max accuracy: 49.39%
[14:44:19.082439] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:44:22.626473] Epoch: [13] [0/5] eta: 0:00:17 lr: 0.199307 loss: 1.1832 (1.1832) time: 3.5433 data: 3.1494 max mem: 2710
[14:44:24.184690] Epoch: [13] [4/5] eta: 0:00:01 lr: 0.198889 loss: 1.1975 (1.2145) time: 1.0202 data: 0.6348 max mem: 2710
[14:44:24.330346] Epoch: [13] Total time: 0:00:05 (1.0496 s / it)
[14:44:24.330407] Averaged stats: lr: 0.198889 loss: 1.1975 (1.2145)
[14:44:31.147381] Test: [0/2] eta: 0:00:06 loss: 1.0852 (1.0852) acc1: 47.8516 (47.8516) acc5: 100.0000 (100.0000) time: 3.0247 data: 2.6457 max mem: 2710
[14:44:31.314367] Test: [1/2] eta: 0:00:01 loss: 1.0852 (1.2936) acc1: 47.8516 (49.9318) acc5: 100.0000 (100.0000) time: 1.5956 data: 1.3229 max mem: 2710
[14:44:31.414774] Test: Total time: 0:00:03 (1.6464 s / it)
[14:44:31.414829] * Acc@1 49.932 Acc@5 100.000 loss 1.294
[14:44:31.414938] Accuracy of the network on the 733 test images: 49.9%
[14:44:31.414948] Max accuracy: 49.93%
[14:44:31.422354] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:44:34.856702] Epoch: [14] [0/5] eta: 0:00:17 lr: 0.198769 loss: 1.1669 (1.1669) time: 3.4336 data: 3.0409 max mem: 2710
[14:44:36.455145] Epoch: [14] [4/5] eta: 0:00:01 lr: 0.198229 loss: 1.1839 (1.2010) time: 1.0063 data: 0.6179 max mem: 2710
[14:44:36.606862] Epoch: [14] Total time: 0:00:05 (1.0369 s / it)
[14:44:36.606925] Averaged stats: lr: 0.198229 loss: 1.1839 (1.2010)
[14:44:44.034689] Test: [0/2] eta: 0:00:06 loss: 1.0665 (1.0665) acc1: 47.6562 (47.6562) acc5: 100.0000 (100.0000) time: 3.0160 data: 2.6335 max mem: 2710
[14:44:44.200615] Test: [1/2] eta: 0:00:01 loss: 1.0665 (1.2707) acc1: 47.6562 (49.9318) acc5: 100.0000 (100.0000) time: 1.5907 data: 1.3168 max mem: 2710
[14:44:44.304379] Test: Total time: 0:00:03 (1.6432 s / it)
[14:44:44.304430] * Acc@1 49.932 Acc@5 100.000 loss 1.271
[14:44:44.304534] Accuracy of the network on the 733 test images: 49.9%
[14:44:44.304544] Max accuracy: 49.93%
[14:44:44.312245] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:44:47.793446] Epoch: [15] [0/5] eta: 0:00:17 lr: 0.198079 loss: 1.1584 (1.1584) time: 3.4804 data: 3.0879 max mem: 2710
[14:44:49.328567] Epoch: [15] [4/5] eta: 0:00:01 lr: 0.197417 loss: 1.1666 (1.1862) time: 1.0030 data: 0.6177 max mem: 2710
[14:44:49.479266] Epoch: [15] Total time: 0:00:05 (1.0334 s / it)
[14:44:49.479327] Averaged stats: lr: 0.197417 loss: 1.1666 (1.1862)
[14:44:56.287746] Test: [0/2] eta: 0:00:06 loss: 1.0461 (1.0461) acc1: 48.8281 (48.8281) acc5: 100.0000 (100.0000) time: 3.2235 data: 2.8445 max mem: 2710
[14:44:56.453385] Test: [1/2] eta: 0:00:01 loss: 1.0461 (1.2477) acc1: 48.8281 (50.6139) acc5: 100.0000 (100.0000) time: 1.6944 data: 1.4223 max mem: 2710
[14:44:56.545686] Test: Total time: 0:00:03 (1.7410 s / it)
[14:44:56.545735] * Acc@1 50.614 Acc@5 100.000 loss 1.248
[14:44:56.545832] Accuracy of the network on the 733 test images: 50.6%
[14:44:56.545843] Max accuracy: 50.61%
[14:44:56.552865] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:45:00.041414] Epoch: [16] [0/5] eta: 0:00:17 lr: 0.197237 loss: 1.1497 (1.1497) time: 3.4878 data: 3.0948 max mem: 2710
[14:45:01.577509] Epoch: [16] [4/5] eta: 0:00:01 lr: 0.196456 loss: 1.1497 (1.1697) time: 1.0047 data: 0.6210 max mem: 2710
[14:45:01.717955] Epoch: [16] Total time: 0:00:05 (1.0330 s / it)
[14:45:01.718016] Averaged stats: lr: 0.196456 loss: 1.1497 (1.1697)
[14:45:08.656410] Test: [0/2] eta: 0:00:06 loss: 1.0255 (1.0255) acc1: 50.7812 (50.7812) acc5: 100.0000 (100.0000) time: 3.2683 data: 2.8923 max mem: 2710
[14:45:08.822793] Test: [1/2] eta: 0:00:01 loss: 1.0255 (1.2266) acc1: 50.7812 (51.9782) acc5: 100.0000 (100.0000) time: 1.7171 data: 1.4462 max mem: 2710
[14:45:08.915938] Test: Total time: 0:00:03 (1.7643 s / it)
[14:45:08.915990] * Acc@1 51.978 Acc@5 100.000 loss 1.227
[14:45:08.916089] Accuracy of the network on the 733 test images: 52.0%
[14:45:08.916099] Max accuracy: 51.98%
[14:45:08.929510] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:45:12.649792] Epoch: [17] [0/5] eta: 0:00:18 lr: 0.196246 loss: 1.1396 (1.1396) time: 3.7195 data: 3.3261 max mem: 2710
[14:45:14.528863] Epoch: [17] [4/5] eta: 0:00:01 lr: 0.195345 loss: 1.1470 (1.1667) time: 1.1196 data: 0.7339 max mem: 2710
[14:45:14.679496] Epoch: [17] Total time: 0:00:05 (1.1500 s / it)
[14:45:14.679555] Averaged stats: lr: 0.195345 loss: 1.1470 (1.1667)
[14:45:24.890342] Test: [0/2] eta: 0:00:06 loss: 1.0079 (1.0079) acc1: 53.3203 (53.3203) acc5: 100.0000 (100.0000) time: 3.2530 data: 2.8779 max mem: 2710
[14:45:25.054698] Test: [1/2] eta: 0:00:01 loss: 1.0079 (1.2082) acc1: 53.3203 (53.7517) acc5: 100.0000 (100.0000) time: 1.7084 data: 1.4390 max mem: 2710
[14:45:25.177229] Test: Total time: 0:00:03 (1.7703 s / it)
[14:45:25.177277] * Acc@1 53.752 Acc@5 100.000 loss 1.208
[14:45:25.177375] Accuracy of the network on the 733 test images: 53.8%
[14:45:25.177385] Max accuracy: 53.75%
[14:45:25.185249] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:45:28.860467] Epoch: [18] [0/5] eta: 0:00:18 lr: 0.195106 loss: 1.1371 (1.1371) time: 3.6745 data: 3.2766 max mem: 2710
[14:45:30.382841] Epoch: [18] [4/5] eta: 0:00:01 lr: 0.194088 loss: 1.1468 (1.1557) time: 1.0393 data: 0.6554 max mem: 2710
[14:45:30.525416] Epoch: [18] Total time: 0:00:05 (1.0680 s / it)
[14:45:30.525477] Averaged stats: lr: 0.194088 loss: 1.1468 (1.1557)
[14:45:38.087265] Test: [0/2] eta: 0:00:06 loss: 0.9923 (0.9923) acc1: 54.6875 (54.6875) acc5: 100.0000 (100.0000) time: 3.2240 data: 2.8494 max mem: 2710
[14:45:38.252846] Test: [1/2] eta: 0:00:01 loss: 0.9923 (1.1920) acc1: 54.2986 (54.5703) acc5: 100.0000 (100.0000) time: 1.6946 data: 1.4247 max mem: 2710
[14:45:38.372319] Test: Total time: 0:00:03 (1.7549 s / it)
[14:45:38.372370] * Acc@1 54.570 Acc@5 100.000 loss 1.192
[14:45:38.372470] Accuracy of the network on the 733 test images: 54.6%
[14:45:38.372480] Max accuracy: 54.57%
[14:45:38.379540] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:45:41.758711] Epoch: [19] [0/5] eta: 0:00:16 lr: 0.193819 loss: 1.1163 (1.1163) time: 3.3784 data: 2.9884 max mem: 2710
[14:45:43.649438] Epoch: [19] [4/5] eta: 0:00:01 lr: 0.192686 loss: 1.1163 (1.1410) time: 1.0537 data: 0.6693 max mem: 2710
[14:45:43.811933] Epoch: [19] Total time: 0:00:05 (1.0865 s / it)
[14:45:43.811995] Averaged stats: lr: 0.192686 loss: 1.1163 (1.1410)
[14:45:50.814603] Test: [0/2] eta: 0:00:06 loss: 0.9776 (0.9776) acc1: 55.4688 (55.4688) acc5: 100.0000 (100.0000) time: 3.1378 data: 2.7625 max mem: 2710
[14:45:50.980489] Test: [1/2] eta: 0:00:01 loss: 0.9776 (1.1779) acc1: 54.2986 (55.1160) acc5: 100.0000 (100.0000) time: 1.6516 data: 1.3813 max mem: 2710
[14:45:51.097097] Test: Total time: 0:00:03 (1.7105 s / it)
[14:45:51.097161] * Acc@1 55.116 Acc@5 100.000 loss 1.178
[14:45:51.097276] Accuracy of the network on the 733 test images: 55.1%
[14:45:51.097286] Max accuracy: 55.12%
[14:45:51.105071] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:45:54.186568] Epoch: [20] [0/5] eta: 0:00:15 lr: 0.192388 loss: 1.1049 (1.1049) time: 3.0808 data: 2.6881 max mem: 2710
[14:45:55.929122] Epoch: [20] [4/5] eta: 0:00:00 lr: 0.191140 loss: 1.1086 (1.1279) time: 0.9646 data: 0.5771 max mem: 2710
[14:45:56.067572] Epoch: [20] Total time: 0:00:04 (0.9925 s / it)
[14:45:56.067632] Averaged stats: lr: 0.191140 loss: 1.1086 (1.1279)
[14:46:02.972745] Test: [0/2] eta: 0:00:06 loss: 0.9626 (0.9626) acc1: 58.2031 (58.2031) acc5: 100.0000 (100.0000) time: 3.3558 data: 2.9802 max mem: 2710
[14:46:03.136753] Test: [1/2] eta: 0:00:01 loss: 0.9626 (1.1649) acc1: 54.2986 (57.0259) acc5: 100.0000 (100.0000) time: 1.7597 data: 1.4902 max mem: 2710
[14:46:03.250040] Test: Total time: 0:00:03 (1.8169 s / it)
[14:46:03.250088] * Acc@1 57.026 Acc@5 100.000 loss 1.165
[14:46:03.250210] Accuracy of the network on the 733 test images: 57.0%
[14:46:03.250221] Max accuracy: 57.03%
[14:46:03.258094] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:46:06.366224] Epoch: [21] [0/5] eta: 0:00:15 lr: 0.190814 loss: 1.1048 (1.1048) time: 3.1074 data: 2.7156 max mem: 2710
[14:46:08.230454] Epoch: [21] [4/5] eta: 0:00:00 lr: 0.189454 loss: 1.1048 (1.1244) time: 0.9942 data: 0.6091 max mem: 2710
[14:46:08.370621] Epoch: [21] Total time: 0:00:05 (1.0225 s / it)
[14:46:08.370682] Averaged stats: lr: 0.189454 loss: 1.1048 (1.1244)
[14:46:15.130086] Test: [0/2] eta: 0:00:06 loss: 0.9495 (0.9495) acc1: 61.5234 (61.5234) acc5: 100.0000 (100.0000) time: 3.1629 data: 2.7782 max mem: 2710
[14:46:15.296426] Test: [1/2] eta: 0:00:01 loss: 0.9495 (1.1528) acc1: 54.2986 (59.3452) acc5: 100.0000 (100.0000) time: 1.6644 data: 1.3892 max mem: 2710
[14:46:15.418349] Test: Total time: 0:00:03 (1.7259 s / it)
[14:46:15.418397] * Acc@1 59.345 Acc@5 100.000 loss 1.153
[14:46:15.418491] Accuracy of the network on the 733 test images: 59.3%
[14:46:15.418501] Max accuracy: 59.35%
[14:46:15.424607] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:46:18.529306] Epoch: [22] [0/5] eta: 0:00:15 lr: 0.189101 loss: 1.0852 (1.0852) time: 3.1040 data: 2.7107 max mem: 2710
[14:46:20.166932] Epoch: [22] [4/5] eta: 0:00:00 lr: 0.187631 loss: 1.0929 (1.1093) time: 0.9482 data: 0.5593 max mem: 2710
[14:46:20.307976] Epoch: [22] Total time: 0:00:04 (0.9767 s / it)
[14:46:20.308038] Averaged stats: lr: 0.187631 loss: 1.0929 (1.1093)
[14:46:27.003883] Test: [0/2] eta: 0:00:06 loss: 0.9383 (0.9383) acc1: 63.4766 (63.4766) acc5: 100.0000 (100.0000) time: 3.1618 data: 2.7838 max mem: 2710
[14:46:27.167628] Test: [1/2] eta: 0:00:01 loss: 0.9383 (1.1416) acc1: 54.2986 (60.7094) acc5: 100.0000 (100.0000) time: 1.6625 data: 1.3920 max mem: 2710
[14:46:27.286523] Test: Total time: 0:00:03 (1.7225 s / it)
[14:46:27.286574] * Acc@1 60.709 Acc@5 100.000 loss 1.142
[14:46:27.286675] Accuracy of the network on the 733 test images: 60.7%
[14:46:27.286685] Max accuracy: 60.71%
[14:46:27.293286] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:46:30.661447] Epoch: [23] [0/5] eta: 0:00:16 lr: 0.187250 loss: 1.0721 (1.0721) time: 3.3674 data: 2.9756 max mem: 2710
[14:46:32.252299] Epoch: [23] [4/5] eta: 0:00:00 lr: 0.185672 loss: 1.0779 (1.1057) time: 0.9916 data: 0.6040 max mem: 2710
[14:46:32.390210] Epoch: [23] Total time: 0:00:05 (1.0194 s / it)
[14:46:32.390273] Averaged stats: lr: 0.185672 loss: 1.0779 (1.1057)
[14:46:39.143849] Test: [0/2] eta: 0:00:06 loss: 0.9283 (0.9283) acc1: 65.0391 (65.0391) acc5: 100.0000 (100.0000) time: 3.2851 data: 2.9045 max mem: 2710
[14:46:39.309958] Test: [1/2] eta: 0:00:01 loss: 0.9283 (1.1307) acc1: 54.2986 (61.8008) acc5: 100.0000 (100.0000) time: 1.7254 data: 1.4523 max mem: 2710
[14:46:39.423114] Test: Total time: 0:00:03 (1.7825 s / it)
[14:46:39.423173] * Acc@1 61.801 Acc@5 100.000 loss 1.131
[14:46:39.423273] Accuracy of the network on the 733 test images: 61.8%
[14:46:39.423283] Max accuracy: 61.80%
[14:46:39.430228] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:46:42.737214] Epoch: [24] [0/5] eta: 0:00:16 lr: 0.185264 loss: 1.0729 (1.0729) time: 3.3063 data: 2.9128 max mem: 2710
[14:46:44.379748] Epoch: [24] [4/5] eta: 0:00:00 lr: 0.183581 loss: 1.0744 (1.0938) time: 0.9897 data: 0.5995 max mem: 2710
[14:46:44.514708] Epoch: [24] Total time: 0:00:05 (1.0169 s / it)
[14:46:44.514772] Averaged stats: lr: 0.183581 loss: 1.0744 (1.0938)
[14:46:51.659969] Test: [0/2] eta: 0:00:06 loss: 0.9176 (0.9176) acc1: 65.8203 (65.8203) acc5: 100.0000 (100.0000) time: 3.2150 data: 2.8394 max mem: 2710
[14:46:51.825654] Test: [1/2] eta: 0:00:01 loss: 0.9176 (1.1206) acc1: 54.2986 (62.3465) acc5: 100.0000 (100.0000) time: 1.6901 data: 1.4197 max mem: 2710
[14:46:51.941606] Test: Total time: 0:00:03 (1.7486 s / it)
[14:46:51.941657] * Acc@1 62.347 Acc@5 100.000 loss 1.121
[14:46:51.941762] Accuracy of the network on the 733 test images: 62.3%
[14:46:51.941772] Max accuracy: 62.35%
[14:46:51.949037] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:46:55.076499] Epoch: [25] [0/5] eta: 0:00:15 lr: 0.183147 loss: 1.0613 (1.0613) time: 3.1268 data: 2.7326 max mem: 2710
[14:46:56.823645] Epoch: [25] [4/5] eta: 0:00:00 lr: 0.181361 loss: 1.0625 (1.0864) time: 0.9747 data: 0.5862 max mem: 2710
[14:46:56.965250] Epoch: [25] Total time: 0:00:05 (1.0032 s / it)
[14:46:56.965315] Averaged stats: lr: 0.181361 loss: 1.0625 (1.0864)
[14:47:03.854312] Test: [0/2] eta: 0:00:06 loss: 0.9071 (0.9071) acc1: 66.9922 (66.9922) acc5: 100.0000 (100.0000) time: 3.3321 data: 2.9504 max mem: 2710
[14:47:04.018653] Test: [1/2] eta: 0:00:01 loss: 0.9071 (1.1117) acc1: 54.2986 (63.1651) acc5: 100.0000 (100.0000) time: 1.7480 data: 1.4752 max mem: 2710
[14:47:04.128491] Test: Total time: 0:00:03 (1.8035 s / it)
[14:47:04.128546] * Acc@1 63.165 Acc@5 100.000 loss 1.112
[14:47:04.128647] Accuracy of the network on the 733 test images: 63.2%
[14:47:04.128657] Max accuracy: 63.17%
[14:47:04.137381] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:47:07.267179] Epoch: [26] [0/5] eta: 0:00:15 lr: 0.180902 loss: 1.0542 (1.0542) time: 3.1290 data: 2.7357 max mem: 2710
[14:47:09.016405] Epoch: [26] [4/5] eta: 0:00:00 lr: 0.179016 loss: 1.0700 (1.0764) time: 0.9755 data: 0.5866 max mem: 2710
[14:47:09.150410] Epoch: [26] Total time: 0:00:05 (1.0026 s / it)
[14:47:09.150472] Averaged stats: lr: 0.179016 loss: 1.0700 (1.0764)
[14:47:16.653183] Test: [0/2] eta: 0:00:06 loss: 0.8979 (0.8979) acc1: 68.7500 (68.7500) acc5: 100.0000 (100.0000) time: 3.2231 data: 2.8454 max mem: 2710
[14:47:16.820385] Test: [1/2] eta: 0:00:01 loss: 0.8979 (1.1034) acc1: 54.2986 (64.3929) acc5: 100.0000 (100.0000) time: 1.6950 data: 1.4228 max mem: 2710
[14:47:16.938120] Test: Total time: 0:00:03 (1.7543 s / it)
[14:47:16.938180] * Acc@1 64.393 Acc@5 100.000 loss 1.103
[14:47:16.938301] Accuracy of the network on the 733 test images: 64.4%
[14:47:16.938311] Max accuracy: 64.39%
[14:47:16.946857] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:47:20.067756] Epoch: [27] [0/5] eta: 0:00:15 lr: 0.178532 loss: 1.0445 (1.0445) time: 3.1202 data: 2.7253 max mem: 2710
[14:47:21.831967] Epoch: [27] [4/5] eta: 0:00:00 lr: 0.176548 loss: 1.0445 (1.0733) time: 0.9768 data: 0.5887 max mem: 2710
[14:47:21.965540] Epoch: [27] Total time: 0:00:05 (1.0037 s / it)
[14:47:21.965604] Averaged stats: lr: 0.176548 loss: 1.0445 (1.0733)
[14:47:28.929738] Test: [0/2] eta: 0:00:06 loss: 0.8900 (0.8900) acc1: 70.1172 (70.1172) acc5: 100.0000 (100.0000) time: 3.4716 data: 3.0945 max mem: 2710
[14:47:29.096929] Test: [1/2] eta: 0:00:01 loss: 0.8900 (1.0961) acc1: 54.2986 (65.3479) acc5: 100.0000 (100.0000) time: 1.8192 data: 1.5473 max mem: 2710
[14:47:29.207499] Test: Total time: 0:00:03 (1.8750 s / it)
[14:47:29.207552] * Acc@1 65.348 Acc@5 100.000 loss 1.096
[14:47:29.207649] Accuracy of the network on the 733 test images: 65.3%
[14:47:29.207659] Max accuracy: 65.35%
[14:47:29.220604] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:47:32.858049] Epoch: [28] [0/5] eta: 0:00:18 lr: 0.176041 loss: 1.0399 (1.0399) time: 3.6367 data: 3.2419 max mem: 2710
[14:47:34.560474] Epoch: [28] [4/5] eta: 0:00:01 lr: 0.173963 loss: 1.0534 (1.0662) time: 1.0677 data: 0.6829 max mem: 2710
[14:47:34.696253] Epoch: [28] Total time: 0:00:05 (1.0951 s / it)
[14:47:34.696313] Averaged stats: lr: 0.173963 loss: 1.0534 (1.0662)
[14:47:43.441479] Test: [0/2] eta: 0:00:06 loss: 0.8818 (0.8818) acc1: 70.7031 (70.7031) acc5: 100.0000 (100.0000) time: 3.0814 data: 2.7041 max mem: 2710
[14:47:43.606108] Test: [1/2] eta: 0:00:01 loss: 0.8818 (1.0887) acc1: 54.2986 (65.7572) acc5: 100.0000 (100.0000) time: 1.6228 data: 1.3521 max mem: 2710
[14:47:43.703541] Test: Total time: 0:00:03 (1.6721 s / it)
[14:47:43.703589] * Acc@1 65.757 Acc@5 100.000 loss 1.089
[14:47:43.703686] Accuracy of the network on the 733 test images: 65.8%
[14:47:43.703696] Max accuracy: 65.76%
[14:47:43.711162] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:47:47.209633] Epoch: [29] [0/5] eta: 0:00:17 lr: 0.173432 loss: 1.0518 (1.0518) time: 3.4977 data: 3.0987 max mem: 2710
[14:47:48.800874] Epoch: [29] [4/5] eta: 0:00:01 lr: 0.171264 loss: 1.0518 (1.0611) time: 1.0177 data: 0.6281 max mem: 2710
[14:47:48.931830] Epoch: [29] Total time: 0:00:05 (1.0441 s / it)
[14:47:48.931891] Averaged stats: lr: 0.171264 loss: 1.0518 (1.0611)
[14:47:55.464739] Test: [0/2] eta: 0:00:06 loss: 0.8750 (0.8750) acc1: 71.0938 (71.0938) acc5: 100.0000 (100.0000) time: 3.2011 data: 2.8240 max mem: 2710
[14:47:55.630834] Test: [1/2] eta: 0:00:01 loss: 0.8750 (1.0819) acc1: 54.2986 (66.0300) acc5: 100.0000 (100.0000) time: 1.6834 data: 1.4121 max mem: 2710
[14:47:55.755244] Test: Total time: 0:00:03 (1.7461 s / it)
[14:47:55.755294] * Acc@1 66.030 Acc@5 100.000 loss 1.082
[14:47:55.755394] Accuracy of the network on the 733 test images: 66.0%
[14:47:55.755405] Max accuracy: 66.03%
[14:47:55.762246] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:47:59.436847] Epoch: [30] [0/5] eta: 0:00:18 lr: 0.170711 loss: 1.0427 (1.0427) time: 3.6738 data: 3.2832 max mem: 2710
[14:48:00.967954] Epoch: [30] [4/5] eta: 0:00:01 lr: 0.168455 loss: 1.0427 (1.0527) time: 1.0409 data: 0.6567 max mem: 2710
[14:48:01.096598] Epoch: [30] Total time: 0:00:05 (1.0669 s / it)
[14:48:01.096660] Averaged stats: lr: 0.168455 loss: 1.0427 (1.0527)
[14:48:08.382778] Test: [0/2] eta: 0:00:06 loss: 0.8675 (0.8675) acc1: 72.8516 (72.8516) acc5: 100.0000 (100.0000) time: 3.3752 data: 2.9944 max mem: 2710
[14:48:08.549197] Test: [1/2] eta: 0:00:01 loss: 0.8675 (1.0750) acc1: 54.2986 (67.2578) acc5: 100.0000 (100.0000) time: 1.7706 data: 1.4972 max mem: 2710
[14:48:08.661649] Test: Total time: 0:00:03 (1.8273 s / it)
[14:48:08.661699] * Acc@1 67.258 Acc@5 100.000 loss 1.075
[14:48:08.661802] Accuracy of the network on the 733 test images: 67.3%
[14:48:08.661812] Max accuracy: 67.26%
[14:48:08.669714] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:48:12.246354] Epoch: [31] [0/5] eta: 0:00:17 lr: 0.167880 loss: 1.0265 (1.0265) time: 3.5759 data: 3.1845 max mem: 2710
[14:48:13.784410] Epoch: [31] [4/5] eta: 0:00:01 lr: 0.165540 loss: 1.0341 (1.0510) time: 1.0227 data: 0.6369 max mem: 2710
[14:48:13.918085] Epoch: [31] Total time: 0:00:05 (1.0497 s / it)
[14:48:13.918152] Averaged stats: lr: 0.165540 loss: 1.0341 (1.0510)
[14:48:20.702171] Test: [0/2] eta: 0:00:06 loss: 0.8614 (0.8614) acc1: 73.2422 (73.2422) acc5: 100.0000 (100.0000) time: 3.1568 data: 2.7797 max mem: 2710
[14:48:20.868769] Test: [1/2] eta: 0:00:01 loss: 0.8614 (1.0683) acc1: 54.2986 (67.5307) acc5: 100.0000 (100.0000) time: 1.6614 data: 1.3899 max mem: 2710
[14:48:20.974288] Test: Total time: 0:00:03 (1.7148 s / it)
[14:48:20.974339] * Acc@1 67.531 Acc@5 100.000 loss 1.068
[14:48:20.974435] Accuracy of the network on the 733 test images: 67.5%
[14:48:20.974445] Max accuracy: 67.53%
[14:48:20.981198] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:48:24.110742] Epoch: [32] [0/5] eta: 0:00:15 lr: 0.164945 loss: 1.0078 (1.0078) time: 3.1287 data: 2.7320 max mem: 2710
[14:48:25.983192] Epoch: [32] [4/5] eta: 0:00:01 lr: 0.162524 loss: 1.0244 (1.0393) time: 1.0001 data: 0.6128 max mem: 2710
[14:48:26.114764] Epoch: [32] Total time: 0:00:05 (1.0267 s / it)
[14:48:26.114826] Averaged stats: lr: 0.162524 loss: 1.0244 (1.0393)
[14:48:32.804159] Test: [0/2] eta: 0:00:06 loss: 0.8549 (0.8549) acc1: 74.0234 (74.0234) acc5: 100.0000 (100.0000) time: 3.0250 data: 2.6400 max mem: 2710
[14:48:32.968435] Test: [1/2] eta: 0:00:01 loss: 0.8549 (1.0619) acc1: 54.2986 (68.0764) acc5: 100.0000 (100.0000) time: 1.5944 data: 1.3201 max mem: 2710
[14:48:33.062685] Test: Total time: 0:00:03 (1.6421 s / it)
[14:48:33.062736] * Acc@1 68.076 Acc@5 100.000 loss 1.062
[14:48:33.062835] Accuracy of the network on the 733 test images: 68.1%
[14:48:33.062845] Max accuracy: 68.08%
[14:48:33.069561] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:48:36.184221] Epoch: [33] [0/5] eta: 0:00:15 lr: 0.161909 loss: 1.0172 (1.0172) time: 3.1140 data: 2.7209 max mem: 2710
[14:48:38.068471] Epoch: [33] [4/5] eta: 0:00:00 lr: 0.159412 loss: 1.0187 (1.0416) time: 0.9995 data: 0.6143 max mem: 2710
[14:48:38.199263] Epoch: [33] Total time: 0:00:05 (1.0259 s / it)
[14:48:38.199324] Averaged stats: lr: 0.159412 loss: 1.0187 (1.0416)
[14:48:45.071597] Test: [0/2] eta: 0:00:06 loss: 0.8496 (0.8496) acc1: 74.4141 (74.4141) acc5: 100.0000 (100.0000) time: 3.2456 data: 2.8648 max mem: 2710
[14:48:45.237947] Test: [1/2] eta: 0:00:01 loss: 0.8496 (1.0568) acc1: 54.2986 (68.3493) acc5: 100.0000 (100.0000) time: 1.7058 data: 1.4325 max mem: 2710
[14:48:45.335238] Test: Total time: 0:00:03 (1.7549 s / it)
[14:48:45.335285] * Acc@1 68.349 Acc@5 100.000 loss 1.057
[14:48:45.335381] Accuracy of the network on the 733 test images: 68.3%
[14:48:45.335390] Max accuracy: 68.35%
[14:48:45.342044] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:48:48.749061] Epoch: [34] [0/5] eta: 0:00:17 lr: 0.158779 loss: 0.9983 (0.9983) time: 3.4063 data: 3.0130 max mem: 2710
[14:48:50.459336] Epoch: [34] [4/5] eta: 0:00:01 lr: 0.156208 loss: 1.0121 (1.0287) time: 1.0232 data: 0.6373 max mem: 2710
[14:48:50.592697] Epoch: [34] Total time: 0:00:05 (1.0501 s / it)
[14:48:50.592763] Averaged stats: lr: 0.156208 loss: 1.0121 (1.0287)
[14:48:58.063873] Test: [0/2] eta: 0:00:06 loss: 0.8437 (0.8437) acc1: 74.6094 (74.6094) acc5: 100.0000 (100.0000) time: 3.1125 data: 2.7333 max mem: 2710
[14:48:58.229202] Test: [1/2] eta: 0:00:01 loss: 0.8437 (1.0517) acc1: 54.2986 (68.4857) acc5: 100.0000 (100.0000) time: 1.6387 data: 1.3667 max mem: 2710
[14:48:58.320541] Test: Total time: 0:00:03 (1.6849 s / it)
[14:48:58.320592] * Acc@1 68.486 Acc@5 100.000 loss 1.052
[14:48:58.320692] Accuracy of the network on the 733 test images: 68.5%
[14:48:58.320702] Max accuracy: 68.49%
[14:48:58.328203] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:49:01.658498] Epoch: [35] [0/5] eta: 0:00:16 lr: 0.155557 loss: 1.0141 (1.0141) time: 3.3296 data: 2.9378 max mem: 2710
[14:49:03.369407] Epoch: [35] [4/5] eta: 0:00:01 lr: 0.152918 loss: 1.0141 (1.0294) time: 1.0080 data: 0.6224 max mem: 2710
[14:49:03.493405] Epoch: [35] Total time: 0:00:05 (1.0330 s / it)
[14:49:03.493467] Averaged stats: lr: 0.152918 loss: 1.0141 (1.0294)
[14:49:10.468574] Test: [0/2] eta: 0:00:06 loss: 0.8380 (0.8380) acc1: 74.6094 (74.6094) acc5: 100.0000 (100.0000) time: 3.4274 data: 3.0459 max mem: 2710
[14:49:10.634129] Test: [1/2] eta: 0:00:01 loss: 0.8380 (1.0461) acc1: 54.2986 (68.4857) acc5: 100.0000 (100.0000) time: 1.7963 data: 1.5230 max mem: 2710
[14:49:10.738536] Test: Total time: 0:00:03 (1.8490 s / it)
[14:49:10.738587] * Acc@1 68.486 Acc@5 100.000 loss 1.046
[14:49:10.738683] Accuracy of the network on the 733 test images: 68.5%
[14:49:10.738692] Max accuracy: 68.49%
[14:49:10.747516] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:49:14.235165] Epoch: [36] [0/5] eta: 0:00:17 lr: 0.152250 loss: 1.0041 (1.0041) time: 3.4869 data: 3.0957 max mem: 2710
[14:49:15.792301] Epoch: [36] [4/5] eta: 0:00:01 lr: 0.149546 loss: 1.0041 (1.0200) time: 1.0087 data: 0.6230 max mem: 2710
[14:49:15.917074] Epoch: [36] Total time: 0:00:05 (1.0339 s / it)
[14:49:15.917139] Averaged stats: lr: 0.149546 loss: 1.0041 (1.0200)
[14:49:22.483663] Test: [0/2] eta: 0:00:06 loss: 0.8336 (0.8336) acc1: 74.6094 (74.6094) acc5: 100.0000 (100.0000) time: 3.2052 data: 2.8207 max mem: 2710
[14:49:22.650674] Test: [1/2] eta: 0:00:01 loss: 0.8336 (1.0417) acc1: 54.2986 (68.4857) acc5: 100.0000 (100.0000) time: 1.6859 data: 1.4104 max mem: 2710
[14:49:22.755121] Test: Total time: 0:00:03 (1.7387 s / it)
[14:49:22.755180] * Acc@1 68.486 Acc@5 100.000 loss 1.042
[14:49:22.755277] Accuracy of the network on the 733 test images: 68.5%
[14:49:22.755287] Max accuracy: 68.49%
[14:49:22.761451] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:49:26.143831] Epoch: [37] [0/5] eta: 0:00:16 lr: 0.148862 loss: 0.9943 (0.9943) time: 3.3817 data: 2.9875 max mem: 2710
[14:49:28.006546] Epoch: [37] [4/5] eta: 0:00:01 lr: 0.146097 loss: 1.0162 (1.0235) time: 1.0487 data: 0.6642 max mem: 2710
[14:49:28.138665] Epoch: [37] Total time: 0:00:05 (1.0754 s / it)
[14:49:28.138729] Averaged stats: lr: 0.146097 loss: 1.0162 (1.0235)
[14:49:35.062643] Test: [0/2] eta: 0:00:06 loss: 0.8291 (0.8291) acc1: 74.6094 (74.6094) acc5: 100.0000 (100.0000) time: 3.0167 data: 2.6360 max mem: 2710
[14:49:35.228580] Test: [1/2] eta: 0:00:01 loss: 0.8291 (1.0371) acc1: 54.7511 (68.6221) acc5: 100.0000 (100.0000) time: 1.5911 data: 1.3180 max mem: 2710
[14:49:35.326353] Test: Total time: 0:00:03 (1.6405 s / it)
[14:49:35.326407] * Acc@1 68.622 Acc@5 100.000 loss 1.037
[14:49:35.326507] Accuracy of the network on the 733 test images: 68.6%
[14:49:35.326517] Max accuracy: 68.62%
[14:49:35.332740] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:49:38.581415] Epoch: [38] [0/5] eta: 0:00:16 lr: 0.145399 loss: 0.9894 (0.9894) time: 3.2479 data: 2.8534 max mem: 2710
[14:49:40.170871] Epoch: [38] [4/5] eta: 0:00:00 lr: 0.142578 loss: 0.9965 (1.0169) time: 0.9674 data: 0.5790 max mem: 2710
[14:49:40.295836] Epoch: [38] Total time: 0:00:04 (0.9926 s / it)
[14:49:40.295897] Averaged stats: lr: 0.142578 loss: 0.9965 (1.0169)
[14:49:46.970326] Test: [0/2] eta: 0:00:06 loss: 0.8254 (0.8254) acc1: 74.8047 (74.8047) acc5: 100.0000 (100.0000) time: 3.0005 data: 2.6227 max mem: 2710
[14:49:47.136017] Test: [1/2] eta: 0:00:01 loss: 0.8254 (1.0333) acc1: 54.2986 (68.6221) acc5: 100.0000 (100.0000) time: 1.5829 data: 1.3114 max mem: 2710
[14:49:47.233209] Test: Total time: 0:00:03 (1.6320 s / it)
[14:49:47.233262] * Acc@1 68.622 Acc@5 100.000 loss 1.033
[14:49:47.233359] Accuracy of the network on the 733 test images: 68.6%
[14:49:47.233369] Max accuracy: 68.62%
[14:49:47.240979] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:49:50.698078] Epoch: [39] [0/5] eta: 0:00:17 lr: 0.141866 loss: 0.9950 (0.9950) time: 3.4564 data: 3.0625 max mem: 2710
[14:49:52.410864] Epoch: [39] [4/5] eta: 0:00:01 lr: 0.138993 loss: 0.9950 (1.0132) time: 1.0337 data: 0.6472 max mem: 2710
[14:49:52.535831] Epoch: [39] Total time: 0:00:05 (1.0590 s / it)
[14:49:52.535893] Averaged stats: lr: 0.138993 loss: 0.9950 (1.0132)
[14:50:04.656344] Test: [0/2] eta: 0:00:06 loss: 0.8218 (0.8218) acc1: 75.1953 (75.1953) acc5: 100.0000 (100.0000) time: 3.3149 data: 2.9323 max mem: 2710
[14:50:04.822243] Test: [1/2] eta: 0:00:01 loss: 0.8218 (1.0293) acc1: 54.2986 (68.8950) acc5: 100.0000 (100.0000) time: 1.7402 data: 1.4662 max mem: 2710
[14:50:04.932064] Test: Total time: 0:00:03 (1.7956 s / it)
[14:50:04.932120] * Acc@1 68.895 Acc@5 100.000 loss 1.029
[14:50:04.932232] Accuracy of the network on the 733 test images: 68.9%
[14:50:04.932242] Max accuracy: 68.89%
[14:50:04.945286] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:50:08.363823] Epoch: [40] [0/5] eta: 0:00:17 lr: 0.138268 loss: 0.9966 (0.9966) time: 3.4178 data: 3.0260 max mem: 2710
[14:50:10.064184] Epoch: [40] [4/5] eta: 0:00:01 lr: 0.135347 loss: 0.9966 (1.0129) time: 1.0235 data: 0.6402 max mem: 2710
[14:50:10.200989] Epoch: [40] Total time: 0:00:05 (1.0511 s / it)
[14:50:10.201051] Averaged stats: lr: 0.135347 loss: 0.9966 (1.0129)
[14:50:17.252772] Test: [0/2] eta: 0:00:06 loss: 0.8176 (0.8176) acc1: 75.3906 (75.3906) acc5: 100.0000 (100.0000) time: 3.3766 data: 2.9997 max mem: 2710
[14:50:17.418058] Test: [1/2] eta: 0:00:01 loss: 0.8176 (1.0260) acc1: 54.2986 (69.0314) acc5: 100.0000 (100.0000) time: 1.7708 data: 1.4999 max mem: 2710
[14:50:17.530978] Test: Total time: 0:00:03 (1.8277 s / it)
[14:50:17.531026] * Acc@1 69.031 Acc@5 100.000 loss 1.026
[14:50:17.531127] Accuracy of the network on the 733 test images: 69.0%
[14:50:17.531137] Max accuracy: 69.03%
[14:50:17.539051] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:50:21.032817] Epoch: [41] [0/5] eta: 0:00:17 lr: 0.134612 loss: 0.9949 (0.9949) time: 3.4930 data: 3.1020 max mem: 2710
[14:50:22.573009] Epoch: [41] [4/5] eta: 0:00:01 lr: 0.131648 loss: 0.9949 (1.0038) time: 1.0065 data: 0.6204 max mem: 2710
[14:50:22.701296] Epoch: [41] Total time: 0:00:05 (1.0324 s / it)
[14:50:22.701361] Averaged stats: lr: 0.131648 loss: 0.9949 (1.0038)
[14:50:29.667968] Test: [0/2] eta: 0:00:06 loss: 0.8135 (0.8135) acc1: 75.3906 (75.3906) acc5: 100.0000 (100.0000) time: 3.1024 data: 2.7228 max mem: 2710
[14:50:29.833246] Test: [1/2] eta: 0:00:01 loss: 0.8135 (1.0231) acc1: 54.2986 (69.0314) acc5: 100.0000 (100.0000) time: 1.6337 data: 1.3615 max mem: 2710
[14:50:29.925904] Test: Total time: 0:00:03 (1.6805 s / it)
[14:50:29.925955] * Acc@1 69.031 Acc@5 100.000 loss 1.023
[14:50:29.926053] Accuracy of the network on the 733 test images: 69.0%
[14:50:29.926063] Max accuracy: 69.03%
[14:50:29.933343] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:50:33.117035] Epoch: [42] [0/5] eta: 0:00:15 lr: 0.130902 loss: 0.9885 (0.9885) time: 3.1830 data: 2.7905 max mem: 2710
[14:50:34.979253] Epoch: [42] [4/5] eta: 0:00:01 lr: 0.127899 loss: 0.9885 (1.0027) time: 1.0089 data: 0.6227 max mem: 2710
[14:50:35.120507] Epoch: [42] Total time: 0:00:05 (1.0374 s / it)
[14:50:35.120569] Averaged stats: lr: 0.127899 loss: 0.9885 (1.0027)
[14:50:42.096050] Test: [0/2] eta: 0:00:06 loss: 0.8115 (0.8115) acc1: 75.3906 (75.3906) acc5: 100.0000 (100.0000) time: 3.2229 data: 2.8423 max mem: 2710
[14:50:42.261655] Test: [1/2] eta: 0:00:01 loss: 0.8115 (1.0197) acc1: 54.2986 (69.0314) acc5: 100.0000 (100.0000) time: 1.6940 data: 1.4212 max mem: 2710
[14:50:42.368824] Test: Total time: 0:00:03 (1.7481 s / it)
[14:50:42.368873] * Acc@1 69.031 Acc@5 100.000 loss 1.020
[14:50:42.368960] Accuracy of the network on the 733 test images: 69.0%
[14:50:42.368969] Max accuracy: 69.03%
[14:50:42.375250] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:50:45.803522] Epoch: [43] [0/5] eta: 0:00:17 lr: 0.127144 loss: 0.9863 (0.9863) time: 3.4276 data: 3.0365 max mem: 2710
[14:50:47.506432] Epoch: [43] [4/5] eta: 0:00:01 lr: 0.124108 loss: 0.9863 (0.9936) time: 1.0260 data: 0.6425 max mem: 2710
[14:50:47.643410] Epoch: [43] Total time: 0:00:05 (1.0536 s / it)
[14:50:47.643472] Averaged stats: lr: 0.124108 loss: 0.9863 (0.9936)
[14:50:54.656710] Test: [0/2] eta: 0:00:06 loss: 0.8071 (0.8071) acc1: 75.3906 (75.3906) acc5: 100.0000 (100.0000) time: 3.1357 data: 2.7514 max mem: 2710
[14:50:54.822884] Test: [1/2] eta: 0:00:01 loss: 0.8071 (1.0165) acc1: 54.2986 (69.0314) acc5: 100.0000 (100.0000) time: 1.6508 data: 1.3758 max mem: 2710
[14:50:54.929804] Test: Total time: 0:00:03 (1.7047 s / it)
[14:50:54.929859] * Acc@1 69.031 Acc@5 100.000 loss 1.017
[14:50:54.929954] Accuracy of the network on the 733 test images: 69.0%
[14:50:54.929964] Max accuracy: 69.03%
[14:50:54.936874] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:50:58.314842] Epoch: [44] [0/5] eta: 0:00:16 lr: 0.123345 loss: 0.9635 (0.9635) time: 3.3772 data: 2.9860 max mem: 2710
[14:51:00.064101] Epoch: [44] [4/5] eta: 0:00:01 lr: 0.120279 loss: 0.9690 (0.9953) time: 1.0252 data: 0.6366 max mem: 2710
[14:51:00.195086] Epoch: [44] Total time: 0:00:05 (1.0516 s / it)
[14:51:00.195147] Averaged stats: lr: 0.120279 loss: 0.9690 (0.9953)
[14:51:07.436195] Test: [0/2] eta: 0:00:06 loss: 0.8041 (0.8041) acc1: 75.5859 (75.5859) acc5: 100.0000 (100.0000) time: 3.1470 data: 2.7708 max mem: 2710
[14:51:07.601689] Test: [1/2] eta: 0:00:01 loss: 0.8041 (1.0140) acc1: 54.2986 (69.1678) acc5: 100.0000 (100.0000) time: 1.6560 data: 1.3854 max mem: 2710
[14:51:07.713411] Test: Total time: 0:00:03 (1.7124 s / it)
[14:51:07.713457] * Acc@1 69.168 Acc@5 100.000 loss 1.014
[14:51:07.713554] Accuracy of the network on the 733 test images: 69.2%
[14:51:07.713564] Max accuracy: 69.17%
[14:51:07.721850] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:51:10.850579] Epoch: [45] [0/5] eta: 0:00:15 lr: 0.119509 loss: 0.9787 (0.9787) time: 3.1280 data: 2.7361 max mem: 2710
[14:51:12.593859] Epoch: [45] [4/5] eta: 0:00:00 lr: 0.116419 loss: 0.9787 (0.9941) time: 0.9742 data: 0.5861 max mem: 2710
[14:51:12.729629] Epoch: [45] Total time: 0:00:05 (1.0015 s / it)
[14:51:12.729694] Averaged stats: lr: 0.116419 loss: 0.9787 (0.9941)
[14:51:19.850939] Test: [0/2] eta: 0:00:06 loss: 0.8010 (0.8010) acc1: 75.5859 (75.5859) acc5: 100.0000 (100.0000) time: 3.3393 data: 2.9615 max mem: 2710
[14:51:20.016568] Test: [1/2] eta: 0:00:01 loss: 0.8010 (1.0110) acc1: 54.2986 (69.1678) acc5: 100.0000 (100.0000) time: 1.7522 data: 1.4808 max mem: 2710
[14:51:20.120568] Test: Total time: 0:00:03 (1.8048 s / it)
[14:51:20.120619] * Acc@1 69.168 Acc@5 100.000 loss 1.011
[14:51:20.120711] Accuracy of the network on the 733 test images: 69.2%
[14:51:20.120720] Max accuracy: 69.17%
[14:51:20.131096] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:51:23.696473] Epoch: [46] [0/5] eta: 0:00:17 lr: 0.115643 loss: 0.9604 (0.9604) time: 3.5647 data: 3.1741 max mem: 2710
[14:51:25.225043] Epoch: [46] [4/5] eta: 0:00:01 lr: 0.112533 loss: 0.9779 (0.9878) time: 1.0186 data: 0.6349 max mem: 2710
[14:51:25.356993] Epoch: [46] Total time: 0:00:05 (1.0452 s / it)
[14:51:25.357056] Averaged stats: lr: 0.112533 loss: 0.9779 (0.9878)
[14:51:32.226164] Test: [0/2] eta: 0:00:06 loss: 0.7982 (0.7982) acc1: 75.9766 (75.9766) acc5: 100.0000 (100.0000) time: 3.2247 data: 2.8483 max mem: 2710
[14:51:32.392321] Test: [1/2] eta: 0:00:01 loss: 0.7982 (1.0081) acc1: 54.2986 (69.4407) acc5: 100.0000 (100.0000) time: 1.6952 data: 1.4242 max mem: 2710
[14:51:32.503448] Test: Total time: 0:00:03 (1.7513 s / it)
[14:51:32.503499] * Acc@1 69.441 Acc@5 100.000 loss 1.008
[14:51:32.503594] Accuracy of the network on the 733 test images: 69.4%
[14:51:32.503604] Max accuracy: 69.44%
[14:51:32.510007] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:51:35.871638] Epoch: [47] [0/5] eta: 0:00:16 lr: 0.111754 loss: 0.9610 (0.9610) time: 3.3609 data: 2.9691 max mem: 2710
[14:51:37.590078] Epoch: [47] [4/5] eta: 0:00:01 lr: 0.108629 loss: 0.9679 (0.9833) time: 1.0158 data: 0.6292 max mem: 2710
[14:51:37.725462] Epoch: [47] Total time: 0:00:05 (1.0431 s / it)
[14:51:37.725528] Averaged stats: lr: 0.108629 loss: 0.9679 (0.9833)
[14:51:44.234465] Test: [0/2] eta: 0:00:06 loss: 0.7955 (0.7955) acc1: 75.9766 (75.9766) acc5: 100.0000 (100.0000) time: 3.0708 data: 2.6860 max mem: 2710
[14:51:44.401827] Test: [1/2] eta: 0:00:01 loss: 0.7955 (1.0056) acc1: 54.2986 (69.4407) acc5: 100.0000 (100.0000) time: 1.6189 data: 1.3430 max mem: 2710
[14:51:44.495731] Test: Total time: 0:00:03 (1.6664 s / it)
[14:51:44.495781] * Acc@1 69.441 Acc@5 100.000 loss 1.006
[14:51:44.495875] Accuracy of the network on the 733 test images: 69.4%
[14:51:44.495884] Max accuracy: 69.44%
[14:51:44.502365] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:51:47.830227] Epoch: [48] [0/5] eta: 0:00:16 lr: 0.107846 loss: 0.9713 (0.9713) time: 3.3271 data: 2.9317 max mem: 2710
[14:51:49.547378] Epoch: [48] [4/5] eta: 0:00:01 lr: 0.104711 loss: 0.9743 (0.9942) time: 1.0088 data: 0.6211 max mem: 2710
[14:51:49.681589] Epoch: [48] Total time: 0:00:05 (1.0358 s / it)
[14:51:49.681656] Averaged stats: lr: 0.104711 loss: 0.9743 (0.9942)
[14:51:56.224950] Test: [0/2] eta: 0:00:06 loss: 0.7933 (0.7933) acc1: 75.9766 (75.9766) acc5: 100.0000 (100.0000) time: 3.1750 data: 2.7992 max mem: 2710
[14:51:56.391466] Test: [1/2] eta: 0:00:01 loss: 0.7933 (1.0034) acc1: 54.2986 (69.4407) acc5: 100.0000 (100.0000) time: 1.6706 data: 1.3996 max mem: 2710
[14:51:56.502728] Test: Total time: 0:00:03 (1.7267 s / it)
[14:51:56.502777] * Acc@1 69.441 Acc@5 100.000 loss 1.003
[14:51:56.502867] Accuracy of the network on the 733 test images: 69.4%
[14:51:56.502877] Max accuracy: 69.44%
[14:51:56.509450] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:51:59.800914] Epoch: [49] [0/5] eta: 0:00:16 lr: 0.103926 loss: 0.9789 (0.9789) time: 3.2908 data: 2.8969 max mem: 2710
[14:52:01.668606] Epoch: [49] [4/5] eta: 0:00:01 lr: 0.100785 loss: 0.9789 (0.9854) time: 1.0316 data: 0.6448 max mem: 2710
[14:52:01.800704] Epoch: [49] Total time: 0:00:05 (1.0582 s / it)
[14:52:01.800768] Averaged stats: lr: 0.100785 loss: 0.9789 (0.9854)
[14:52:09.033744] Test: [0/2] eta: 0:00:06 loss: 0.7909 (0.7909) acc1: 75.9766 (75.9766) acc5: 100.0000 (100.0000) time: 3.1336 data: 2.7574 max mem: 2710
[14:52:09.198306] Test: [1/2] eta: 0:00:01 loss: 0.7909 (1.0013) acc1: 54.2986 (69.4407) acc5: 100.0000 (100.0000) time: 1.6489 data: 1.3788 max mem: 2710
[14:52:09.311673] Test: Total time: 0:00:03 (1.7061 s / it)
[14:52:09.311724] * Acc@1 69.441 Acc@5 100.000 loss 1.001
[14:52:09.311821] Accuracy of the network on the 733 test images: 69.4%
[14:52:09.311831] Max accuracy: 69.44%
[14:52:09.318513] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:52:12.732031] Epoch: [50] [0/5] eta: 0:00:17 lr: 0.100000 loss: 0.9482 (0.9482) time: 3.4128 data: 3.0213 max mem: 2710
[14:52:14.268912] Epoch: [50] [4/5] eta: 0:00:00 lr: 0.096859 loss: 0.9567 (0.9743) time: 0.9898 data: 0.6043 max mem: 2710
[14:52:14.402095] Epoch: [50] Total time: 0:00:05 (1.0167 s / it)
[14:52:14.402161] Averaged stats: lr: 0.096859 loss: 0.9567 (0.9743)
[14:52:21.083723] Test: [0/2] eta: 0:00:06 loss: 0.7889 (0.7889) acc1: 76.1719 (76.1719) acc5: 100.0000 (100.0000) time: 3.1520 data: 2.7753 max mem: 2710
[14:52:21.250235] Test: [1/2] eta: 0:00:01 loss: 0.7889 (0.9992) acc1: 54.2986 (69.5771) acc5: 100.0000 (100.0000) time: 1.6591 data: 1.3877 max mem: 2710
[14:52:21.336194] Test: Total time: 0:00:03 (1.7026 s / it)
[14:52:21.336246] * Acc@1 69.577 Acc@5 100.000 loss 0.999
[14:52:21.336341] Accuracy of the network on the 733 test images: 69.6%
[14:52:21.336351] Max accuracy: 69.58%
[14:52:21.344810] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:52:24.460097] Epoch: [51] [0/5] eta: 0:00:15 lr: 0.096074 loss: 0.9540 (0.9540) time: 3.1146 data: 2.7235 max mem: 2710
[14:52:26.469840] Epoch: [51] [4/5] eta: 0:00:01 lr: 0.092937 loss: 0.9540 (0.9739) time: 1.0248 data: 0.6419 max mem: 2710
[14:52:26.607047] Epoch: [51] Total time: 0:00:05 (1.0524 s / it)
[14:52:26.607108] Averaged stats: lr: 0.092937 loss: 0.9540 (0.9739)
[14:52:33.525724] Test: [0/2] eta: 0:00:06 loss: 0.7871 (0.7871) acc1: 76.3672 (76.3672) acc5: 100.0000 (100.0000) time: 3.1830 data: 2.8005 max mem: 2710
[14:52:33.690727] Test: [1/2] eta: 0:00:01 loss: 0.7871 (0.9971) acc1: 54.2986 (69.7135) acc5: 100.0000 (100.0000) time: 1.6738 data: 1.4003 max mem: 2710
[14:52:33.801160] Test: Total time: 0:00:03 (1.7295 s / it)
[14:52:33.801227] * Acc@1 69.714 Acc@5 100.000 loss 0.997
[14:52:33.801339] Accuracy of the network on the 733 test images: 69.7%
[14:52:33.801349] Max accuracy: 69.71%
[14:52:33.809869] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:52:37.082213] Epoch: [52] [0/5] eta: 0:00:16 lr: 0.092154 loss: 0.9612 (0.9612) time: 3.2716 data: 2.8797 max mem: 2710
[14:52:38.677566] Epoch: [52] [4/5] eta: 0:00:00 lr: 0.089027 loss: 0.9612 (0.9766) time: 0.9733 data: 0.5844 max mem: 2710
[14:52:38.807960] Epoch: [52] Total time: 0:00:04 (0.9996 s / it)
[14:52:38.808034] Averaged stats: lr: 0.089027 loss: 0.9612 (0.9766)
[14:52:45.639205] Test: [0/2] eta: 0:00:06 loss: 0.7851 (0.7851) acc1: 76.9531 (76.9531) acc5: 100.0000 (100.0000) time: 3.2235 data: 2.8468 max mem: 2710
[14:52:45.805136] Test: [1/2] eta: 0:00:01 loss: 0.7851 (0.9951) acc1: 54.2986 (70.1228) acc5: 100.0000 (100.0000) time: 1.6945 data: 1.4235 max mem: 2710
[14:52:45.910266] Test: Total time: 0:00:03 (1.7476 s / it)
[14:52:45.910317] * Acc@1 70.123 Acc@5 100.000 loss 0.995
[14:52:45.910410] Accuracy of the network on the 733 test images: 70.1%
[14:52:45.910420] Max accuracy: 70.12%
[14:52:45.930988] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:52:49.122402] Epoch: [53] [0/5] eta: 0:00:15 lr: 0.088246 loss: 0.9386 (0.9386) time: 3.1907 data: 2.7967 max mem: 2710
[14:52:50.994166] Epoch: [53] [4/5] eta: 0:00:01 lr: 0.085133 loss: 0.9542 (0.9724) time: 1.0124 data: 0.6259 max mem: 2710
[14:52:51.128548] Epoch: [53] Total time: 0:00:05 (1.0395 s / it)
[14:52:51.128612] Averaged stats: lr: 0.085133 loss: 0.9542 (0.9724)
[14:52:57.958562] Test: [0/2] eta: 0:00:06 loss: 0.7832 (0.7832) acc1: 77.1484 (77.1484) acc5: 100.0000 (100.0000) time: 3.1671 data: 2.7903 max mem: 2710
[14:52:58.124880] Test: [1/2] eta: 0:00:01 loss: 0.7832 (0.9931) acc1: 54.2986 (70.2592) acc5: 100.0000 (100.0000) time: 1.6665 data: 1.3952 max mem: 2710
[14:52:58.235707] Test: Total time: 0:00:03 (1.7225 s / it)
[14:52:58.235755] * Acc@1 70.259 Acc@5 100.000 loss 0.993
[14:52:58.235850] Accuracy of the network on the 733 test images: 70.3%
[14:52:58.235860] Max accuracy: 70.26%
[14:52:58.243494] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:53:01.585354] Epoch: [54] [0/5] eta: 0:00:16 lr: 0.084357 loss: 0.9424 (0.9424) time: 3.3411 data: 2.9469 max mem: 2710
[14:53:03.596273] Epoch: [54] [4/5] eta: 0:00:01 lr: 0.081262 loss: 0.9424 (0.9740) time: 1.0703 data: 0.6861 max mem: 2710
[14:53:03.728536] Epoch: [54] Total time: 0:00:05 (1.0970 s / it)
[14:53:03.728598] Averaged stats: lr: 0.081262 loss: 0.9424 (0.9740)
[14:53:10.703587] Test: [0/2] eta: 0:00:06 loss: 0.7803 (0.7803) acc1: 77.3438 (77.3438) acc5: 100.0000 (100.0000) time: 3.2354 data: 2.8568 max mem: 2710
[14:53:10.870548] Test: [1/2] eta: 0:00:01 loss: 0.7803 (0.9906) acc1: 54.2986 (70.3956) acc5: 100.0000 (100.0000) time: 1.7010 data: 1.4285 max mem: 2710
[14:53:10.984440] Test: Total time: 0:00:03 (1.7584 s / it)
[14:53:10.984490] * Acc@1 70.396 Acc@5 100.000 loss 0.991
[14:53:10.984585] Accuracy of the network on the 733 test images: 70.4%
[14:53:10.984594] Max accuracy: 70.40%
[14:53:10.991650] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:53:14.615471] Epoch: [55] [0/5] eta: 0:00:18 lr: 0.080491 loss: 0.9492 (0.9492) time: 3.6231 data: 3.2294 max mem: 2710
[14:53:16.145790] Epoch: [55] [4/5] eta: 0:00:01 lr: 0.077420 loss: 0.9547 (0.9771) time: 1.0306 data: 0.6459 max mem: 2710
[14:53:16.274780] Epoch: [55] Total time: 0:00:05 (1.0566 s / it)
[14:53:16.274850] Averaged stats: lr: 0.077420 loss: 0.9547 (0.9771)
[14:53:23.162557] Test: [0/2] eta: 0:00:06 loss: 0.7792 (0.7792) acc1: 77.5391 (77.5391) acc5: 100.0000 (100.0000) time: 3.2221 data: 2.8391 max mem: 2710
[14:53:23.329119] Test: [1/2] eta: 0:00:01 loss: 0.7792 (0.9896) acc1: 54.2986 (70.5321) acc5: 100.0000 (100.0000) time: 1.6941 data: 1.4196 max mem: 2710
[14:53:23.432634] Test: Total time: 0:00:03 (1.7464 s / it)
[14:53:23.432685] * Acc@1 70.532 Acc@5 100.000 loss 0.990
[14:53:23.432779] Accuracy of the network on the 733 test images: 70.5%
[14:53:23.432788] Max accuracy: 70.53%
[14:53:23.439091] log_dir: /hpctmp/pbs_dm_stage/access_temp_stage/e1100476/Model/MAE/original_mask_ratio_.75/linprobe
[14:53:26.715136] Epoch: [56] [0/5] eta: 0:00:16 lr: 0.076655 loss: 0.9387 (0.9387) time: 3.2753 data: 2.8839 max mem: 2710
[14:53:28.561986] Epoch: [56] [4/5] eta: 0:00:01 lr: 0.073613 loss: 0.9489 (0.9655) time: 1.0243 data: 0.6414 max mem: 2710
[14:53:28.692410] Epoch: [56] Total time: 0:00:05 (1.0507 s / it)
[14:53:28.692473] Averaged stats: lr: 0.073613 loss: 0.9489 (0.9655)
[14:53:35.356230] Test: [0/2] eta: 0:00:06 loss: 0.7779 (0.7779) acc1: 77.5391 (77.5391) acc5: 100.0000 (100.0000) time: 3.0871 data: 2.7105 max mem: 2710
[14:53:35.522036] Test: [1/2] eta: 0:00:01 loss: 0.7779 (0.9883) acc1: 54.2986 (70.5321) acc5: 100.0000 (100.0000) time: 1.6263 data: 1.3553 max mem: 2710
[14:53:35.631752] Test: Total time: 0:00:03 (1.6817 s / it)
[14:53:35.631801] * Acc@1 70.532 Acc@5 100.000 loss 0.988
[14:53:35.631892] Accuracy of the network on the 733 test images: 70.5%
[14:53:35.631902] Max accuracy: 70.53%