Hugging Face's logo

Dimios45
/
echolung

Model card Files
xet
 Community
Dimios45 commited on
Commit
8ebf3b5
·
verified ·
1 Parent(s): ffd6c32

Upload folder using huggingface_hub

Browse files
Files changed (19) hide show
  1. experiments/eval/covid_blues_classification/video_classification_frozen/echojepa-vitl-covid-blues-binary/log_r0.csv +53 -0
  2. experiments/eval/covid_blues_cv/fold0/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv +53 -0
  3. experiments/eval/covid_blues_cv/fold1/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv +52 -0
  4. experiments/eval/covid_blues_cv/fold2/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv +54 -0
  5. experiments/eval/covid_blues_cv/fold3/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv +54 -0
  6. experiments/eval/covid_blues_cv/fold4/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv +54 -0
  7. experiments/eval/covid_blues_severity/video_classification_frozen/echojepa-vitl-covid-blues-severity/log_r0.csv +53 -0
  8. experiments/eval/pocus_classification/video_classification_frozen/echojepa-vitl-pocus-3class/log_r0.csv +53 -0
  9. experiments/eval/pocus_cv/fold0/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv +51 -0
  10. experiments/eval/pocus_cv/fold1/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv +51 -0
  11. experiments/eval/pocus_cv/fold2/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv +2 -0
  12. experiments/eval/pocus_cv/fold3/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv +2 -0
  13. experiments/eval/pocus_cv/fold4/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv +52 -0
  14. experiments/eval/pocus_cv_randinit/fold0/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv +51 -0
  15. experiments/eval/pocus_cv_randinit/fold1/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv +51 -0
  16. experiments/eval/pocus_cv_randinit/fold2/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv +51 -0
  17. experiments/eval/pocus_cv_randinit/fold3/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv +51 -0
  18. experiments/eval/pocus_cv_randinit/fold4/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv +51 -0
  19. experiments/pretrain/echonet_combined_vitl_224px_16f/log_r0.csv +0 -0
experiments/eval/covid_blues_classification/video_classification_frozen/echojepa-vitl-covid-blues-binary/log_r0.csv ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,55.18868,58.33333
3
+ 2,55.66038,56.94444
4
+ 3,54.71698,58.33333
5
+ 4,58.49057,58.33333
6
+ 5,58.96226,45.83333
7
+ 6,55.66038,59.72222
8
+ 7,60.84906,65.27778
9
+ 8,63.20755,61.11111
10
+ 9,61.32075,54.16667
11
+ 10,58.96226,68.05556
12
+ 11,60.37736,70.83333
13
+ 12,64.62264,58.33333
14
+ 13,65.09434,66.66667
15
+ 14,64.62264,65.27778
16
+ 15,68.86792,76.38889
17
+ 16,64.15094,66.66667
18
+ 17,75.00000,75.00000
19
+ 18,67.92453,54.16667
20
+ 19,66.03774,66.66667
21
+ 20,71.69811,61.11111
22
+ 21,73.11321,63.88889
23
+ 22,71.22642,65.27778
24
+ 23,71.69811,62.50000
25
+ 24,74.52830,61.11111
26
+ 25,69.33962,66.66667
27
+ 26,76.41509,70.83333
28
+ 27,74.05660,69.44444
29
+ 28,72.64151,68.05556
30
+ 29,73.11321,65.27778
31
+ 30,74.05660,69.44444
32
+ 31,72.64151,68.05556
33
+ 32,72.16981,68.05556
34
+ 33,76.41509,66.66667
35
+ 34,75.94340,66.66667
36
+ 35,76.88679,66.66667
37
+ 36,75.00000,66.66667
38
+ 37,75.94340,69.44444
39
+ 38,74.05660,72.22222
40
+ 39,75.94340,69.44444
41
+ 40,79.71698,70.83333
42
+ 41,76.41509,72.22222
43
+ 42,82.54717,72.22222
44
+ 43,74.52830,72.22222
45
+ 44,78.77358,66.66667
46
+ 45,75.94340,73.61111
47
+ 46,75.47170,68.05556
48
+ 47,77.35849,69.44444
49
+ 48,76.88679,68.05556
50
+ 49,77.83019,69.44444
51
+ 50,75.47170,69.44444
52
+ epoch,train_acc,val_acc
53
+ 1,-1.00000,61.84211
experiments/eval/covid_blues_cv/fold0/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ epoch,train_acc,val_acc
3
+ epoch,train_acc,val_acc
4
+ 1,56.94444,70.27027
5
+ 2,55.55556,55.40541
6
+ 3,57.98611,59.45946
7
+ 4,55.20833,55.40541
8
+ 5,61.11111,56.75676
9
+ 6,57.98611,47.29730
10
+ 7,57.63889,59.45946
11
+ 8,61.11111,54.05405
12
+ 9,58.33333,52.70270
13
+ 10,62.50000,59.45946
14
+ 11,60.06944,62.16216
15
+ 12,66.31944,56.75676
16
+ 13,65.62500,56.75676
17
+ 14,60.76389,59.45946
18
+ 15,65.27778,58.10811
19
+ 16,70.83333,58.10811
20
+ 17,67.36111,58.10811
21
+ 18,68.05556,58.10811
22
+ 19,67.01389,62.16216
23
+ 20,70.83333,58.10811
24
+ 21,70.48611,64.86486
25
+ 22,70.83333,63.51351
26
+ 23,72.91667,62.16216
27
+ 24,69.09722,60.81081
28
+ 25,72.56944,66.21622
29
+ 26,72.22222,63.51351
30
+ 27,76.04167,66.21622
31
+ 28,72.91667,64.86486
32
+ 29,77.08333,62.16216
33
+ 30,73.26389,62.16216
34
+ 31,71.87500,63.51351
35
+ 32,77.43056,66.21622
36
+ 33,72.91667,64.86486
37
+ 34,76.73611,68.91892
38
+ 35,76.04167,60.81081
39
+ 36,79.16667,62.16216
40
+ 37,81.94444,60.81081
41
+ 38,77.43056,58.10811
42
+ 39,75.69444,62.16216
43
+ 40,78.81944,58.10811
44
+ 41,77.77778,66.21622
45
+ 42,77.77778,66.21622
46
+ 43,77.43056,64.86486
47
+ 44,76.73611,63.51351
48
+ 45,79.86111,63.51351
49
+ 46,81.25000,60.81081
50
+ 47,79.86111,63.51351
51
+ 48,77.43056,64.86486
52
+ 49,80.90278,64.86486
53
+ 50,79.16667,63.51351
experiments/eval/covid_blues_cv/fold1/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,54.86111,70.83333
3
+ epoch,train_acc,val_acc
4
+ 2,54.86111,59.72222
5
+ 3,53.47222,75.00000
6
+ 4,52.08333,68.05556
7
+ 5,58.68056,65.27778
8
+ 6,54.86111,75.00000
9
+ 7,56.59722,61.11111
10
+ 8,56.59722,68.05556
11
+ 9,59.37500,69.44444
12
+ 10,60.06944,73.61111
13
+ 11,60.76389,68.05556
14
+ 12,59.37500,69.44444
15
+ 13,63.54167,45.83333
16
+ 14,61.11111,73.61111
17
+ 15,61.45833,72.22222
18
+ 16,64.58333,70.83333
19
+ 17,64.58333,70.83333
20
+ 18,65.27778,65.27778
21
+ 19,62.84722,73.61111
22
+ 20,66.66667,70.83333
23
+ 21,60.06944,72.22222
24
+ 22,68.75000,75.00000
25
+ 23,67.01389,68.05556
26
+ 24,69.09722,68.05556
27
+ 25,69.09722,73.61111
28
+ 26,75.00000,72.22222
29
+ 27,73.61111,72.22222
30
+ 28,69.09722,72.22222
31
+ 29,71.52778,68.05556
32
+ 30,69.44444,72.22222
33
+ 31,73.61111,72.22222
34
+ 32,73.95833,72.22222
35
+ 33,70.13889,69.44444
36
+ 34,68.40278,70.83333
37
+ 35,72.22222,76.38889
38
+ 36,72.91667,75.00000
39
+ 37,76.04167,75.00000
40
+ 38,73.26389,72.22222
41
+ 39,72.91667,73.61111
42
+ 40,77.08333,72.22222
43
+ 41,73.26389,72.22222
44
+ 42,77.08333,73.61111
45
+ 43,75.34722,72.22222
46
+ 44,75.00000,75.00000
47
+ 45,74.65278,73.61111
48
+ 46,72.56944,75.00000
49
+ 47,74.65278,72.22222
50
+ 48,75.00000,75.00000
51
+ 49,71.52778,75.00000
52
+ 50,71.18056,70.83333
experiments/eval/covid_blues_cv/fold2/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,56.69014,53.94737
3
+ epoch,train_acc,val_acc
4
+ epoch,train_acc,val_acc
5
+ 1,56.69014,53.94737
6
+ 2,56.33803,55.26316
7
+ 3,53.87324,60.52632
8
+ 4,55.98592,60.52632
9
+ 5,53.87324,64.47368
10
+ 6,51.76056,65.78947
11
+ 7,56.33803,60.52632
12
+ 8,56.69014,65.78947
13
+ 9,57.39437,69.73684
14
+ 10,64.78873,63.15789
15
+ 11,60.21127,59.21053
16
+ 12,66.90141,71.05263
17
+ 13,65.49296,71.05263
18
+ 14,64.08451,63.15789
19
+ 15,59.15493,63.15789
20
+ 16,65.84507,65.78947
21
+ 17,64.78873,73.68421
22
+ 18,61.61972,69.73684
23
+ 19,64.78873,69.73684
24
+ 20,64.78873,67.10526
25
+ 21,67.25352,72.36842
26
+ 22,67.25352,68.42105
27
+ 23,67.60563,75.00000
28
+ 24,67.60563,71.05263
29
+ 25,70.07042,71.05263
30
+ 26,70.42254,73.68421
31
+ 27,69.36620,69.73684
32
+ 28,68.30986,69.73684
33
+ 29,68.30986,68.42105
34
+ 30,65.49296,69.73684
35
+ 31,73.59155,69.73684
36
+ 32,70.07042,68.42105
37
+ 33,72.53521,73.68421
38
+ 34,72.53521,71.05263
39
+ 35,73.94366,68.42105
40
+ 36,72.53521,71.05263
41
+ 37,71.47887,69.73684
42
+ 38,70.07042,71.05263
43
+ 39,73.94366,71.05263
44
+ 40,76.76056,69.73684
45
+ 41,75.00000,69.73684
46
+ 42,73.59155,68.42105
47
+ 43,75.35211,69.73684
48
+ 44,73.59155,72.36842
49
+ 45,72.88732,71.05263
50
+ 46,77.81690,71.05263
51
+ 47,74.64789,71.05263
52
+ 48,73.94366,71.05263
53
+ 49,76.05634,71.05263
54
+ 50,72.53521,72.36842
experiments/eval/covid_blues_cv/fold3/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,54.72973,60.60606
3
+ epoch,train_acc,val_acc
4
+ epoch,train_acc,val_acc
5
+ 1,54.72973,60.60606
6
+ 2,55.06757,54.54545
7
+ 3,55.06757,54.54545
8
+ 4,58.10811,54.54545
9
+ 5,55.06757,60.60606
10
+ 6,55.74324,65.15152
11
+ 7,55.06757,65.15152
12
+ 8,62.50000,63.63636
13
+ 9,54.39189,71.21212
14
+ 10,58.10811,63.63636
15
+ 11,55.40541,72.72727
16
+ 12,59.45946,60.60606
17
+ 13,63.85135,74.24242
18
+ 14,64.52703,74.24242
19
+ 15,60.13514,71.21212
20
+ 16,58.10811,66.66667
21
+ 17,62.50000,56.06061
22
+ 18,62.83784,75.75758
23
+ 19,59.45946,69.69697
24
+ 20,65.87838,72.72727
25
+ 21,68.24324,66.66667
26
+ 22,68.24324,71.21212
27
+ 23,63.17568,74.24242
28
+ 24,67.22973,75.75758
29
+ 25,68.91892,77.27273
30
+ 26,69.25676,75.75758
31
+ 27,69.93243,68.18182
32
+ 28,70.60811,71.21212
33
+ 29,71.62162,74.24242
34
+ 30,70.27027,72.72727
35
+ 31,68.58108,72.72727
36
+ 32,72.29730,77.27273
37
+ 33,69.59459,80.30303
38
+ 34,69.25676,74.24242
39
+ 35,71.28378,75.75758
40
+ 36,71.28378,71.21212
41
+ 37,71.28378,77.27273
42
+ 38,69.59459,77.27273
43
+ 39,70.27027,77.27273
44
+ 40,69.25676,78.78788
45
+ 41,70.94595,77.27273
46
+ 42,76.01351,77.27273
47
+ 43,72.29730,77.27273
48
+ 44,70.60811,78.78788
49
+ 45,73.64865,72.72727
50
+ 46,72.29730,72.72727
51
+ 47,75.33784,74.24242
52
+ 48,74.32432,74.24242
53
+ 49,71.95946,75.75758
54
+ 50,75.67568,75.75758
experiments/eval/covid_blues_cv/fold4/video_classification_frozen/echojepa-vitl-covid-blues-cv/log_r0.csv ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,53.79310,51.38889
3
+ epoch,train_acc,val_acc
4
+ epoch,train_acc,val_acc
5
+ 1,53.79310,51.38889
6
+ 2,58.96552,50.00000
7
+ 3,52.41379,52.77778
8
+ 4,57.24138,52.77778
9
+ 5,57.58621,52.77778
10
+ 6,56.20690,52.77778
11
+ 7,61.03448,50.00000
12
+ 8,60.34483,61.11111
13
+ 9,57.93103,51.38889
14
+ 10,62.06897,51.38889
15
+ 11,61.72414,52.77778
16
+ 12,58.96552,61.11111
17
+ 13,63.44828,54.16667
18
+ 14,60.34483,52.77778
19
+ 15,63.44828,56.94444
20
+ 16,65.51724,54.16667
21
+ 17,65.17241,56.94444
22
+ 18,67.93103,55.55556
23
+ 19,66.20690,62.50000
24
+ 20,68.62069,56.94444
25
+ 21,67.58621,55.55556
26
+ 22,71.37931,70.83333
27
+ 23,69.31034,58.33333
28
+ 24,70.68966,66.66667
29
+ 25,74.13793,62.50000
30
+ 26,71.37931,63.88889
31
+ 27,72.41379,63.88889
32
+ 28,72.41379,68.05556
33
+ 29,72.06897,58.33333
34
+ 30,72.75862,58.33333
35
+ 31,73.10345,65.27778
36
+ 32,70.34483,65.27778
37
+ 33,73.44828,62.50000
38
+ 34,75.17241,69.44444
39
+ 35,76.20690,63.88889
40
+ 36,78.62069,62.50000
41
+ 37,76.55172,62.50000
42
+ 38,75.51724,66.66667
43
+ 39,76.20690,66.66667
44
+ 40,75.86207,66.66667
45
+ 41,77.24138,63.88889
46
+ 42,73.79310,66.66667
47
+ 43,74.82759,65.27778
48
+ 44,77.58621,66.66667
49
+ 45,78.62069,66.66667
50
+ 46,72.75862,66.66667
51
+ 47,76.20690,65.27778
52
+ 48,75.51724,66.66667
53
+ 49,78.27586,62.50000
54
+ 50,76.89655,63.88889
experiments/eval/covid_blues_severity/video_classification_frozen/echojepa-vitl-covid-blues-severity/log_r0.csv ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,29.71698,40.27778
3
+ 2,32.07547,45.83333
4
+ 3,30.66038,40.27778
5
+ 4,30.18868,44.44444
6
+ 5,27.83019,37.50000
7
+ 6,32.07547,41.66667
8
+ 7,29.24528,36.11111
9
+ 8,32.54717,34.72222
10
+ 9,32.07547,33.33333
11
+ 10,36.79245,43.05556
12
+ 11,35.37736,40.27778
13
+ 12,41.98113,44.44444
14
+ 13,37.26415,44.44444
15
+ 14,32.54717,37.50000
16
+ 15,39.15094,43.05556
17
+ 16,36.32075,27.77778
18
+ 17,35.37736,48.61111
19
+ 18,36.79245,44.44444
20
+ 19,40.56604,44.44444
21
+ 20,36.79245,44.44444
22
+ 21,36.79245,45.83333
23
+ 22,37.73585,45.83333
24
+ 23,43.39623,51.38889
25
+ 24,38.20755,51.38889
26
+ 25,42.92453,45.83333
27
+ 26,40.09434,48.61111
28
+ 27,41.03774,50.00000
29
+ 28,42.92453,41.66667
30
+ 29,40.56604,54.16667
31
+ 30,46.22642,52.77778
32
+ 31,52.35849,50.00000
33
+ 32,45.75472,44.44444
34
+ 33,47.64151,55.55556
35
+ 34,45.28302,55.55556
36
+ 35,46.22642,50.00000
37
+ 36,47.16981,51.38889
38
+ 37,45.75472,48.61111
39
+ 38,49.05660,47.22222
40
+ 39,51.41509,44.44444
41
+ 40,49.05660,52.77778
42
+ 41,48.58491,52.77778
43
+ 42,51.41509,48.61111
44
+ 43,50.47170,48.61111
45
+ 44,51.88679,52.77778
46
+ 45,52.83019,50.00000
47
+ 46,50.94340,51.38889
48
+ 47,54.24528,51.38889
49
+ 48,50.94340,54.16667
50
+ 49,51.41509,48.61111
51
+ 50,50.47170,50.00000
52
+ epoch,train_acc,val_acc
53
+ 1,-1.00000,48.68421
experiments/eval/pocus_classification/video_classification_frozen/echojepa-vitl-pocus-3class/log_r0.csv ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,51.38889,83.33333
3
+ 2,62.50000,70.83333
4
+ 3,66.66667,87.50000
5
+ 4,75.00000,91.66667
6
+ 5,72.22222,91.66667
7
+ 6,79.16667,95.83333
8
+ 7,79.16667,100.00000
9
+ 8,86.11111,91.66667
10
+ 9,80.55556,91.66667
11
+ 10,76.38889,83.33333
12
+ 11,79.16667,91.66667
13
+ 12,83.33333,83.33333
14
+ 13,83.33333,91.66667
15
+ 14,87.50000,91.66667
16
+ 15,87.50000,87.50000
17
+ 16,90.27778,83.33333
18
+ 17,91.66667,79.16667
19
+ 18,91.66667,95.83333
20
+ 19,90.27778,95.83333
21
+ 20,90.27778,87.50000
22
+ 21,87.50000,91.66667
23
+ 22,87.50000,87.50000
24
+ 23,90.27778,91.66667
25
+ 24,94.44444,83.33333
26
+ 25,93.05556,91.66667
27
+ 26,90.27778,91.66667
28
+ 27,88.88889,91.66667
29
+ 28,93.05556,95.83333
30
+ 29,93.05556,95.83333
31
+ 30,94.44444,91.66667
32
+ 31,95.83333,91.66667
33
+ 32,97.22222,87.50000
34
+ 33,95.83333,91.66667
35
+ 34,91.66667,91.66667
36
+ 35,95.83333,91.66667
37
+ 36,94.44444,95.83333
38
+ 37,94.44444,95.83333
39
+ 38,98.61111,95.83333
40
+ 39,94.44444,91.66667
41
+ 40,97.22222,95.83333
42
+ 41,93.05556,87.50000
43
+ 42,95.83333,91.66667
44
+ 43,97.22222,87.50000
45
+ 44,97.22222,87.50000
46
+ 45,93.05556,87.50000
47
+ 46,100.00000,91.66667
48
+ 47,98.61111,87.50000
49
+ 48,100.00000,87.50000
50
+ 49,95.83333,87.50000
51
+ 50,94.44444,87.50000
52
+ epoch,train_acc,val_acc
53
+ 1,-1.00000,66.66667
experiments/eval/pocus_cv/fold0/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,53.12500,83.33333
3
+ 2,64.58333,75.00000
4
+ 3,68.75000,87.50000
5
+ 4,77.08333,95.83333
6
+ 5,82.29167,87.50000
7
+ 6,79.16667,91.66667
8
+ 7,83.33333,95.83333
9
+ 8,84.37500,91.66667
10
+ 9,79.16667,91.66667
11
+ 10,79.16667,91.66667
12
+ 11,90.62500,87.50000
13
+ 12,82.29167,95.83333
14
+ 13,87.50000,95.83333
15
+ 14,85.41667,95.83333
16
+ 15,84.37500,91.66667
17
+ 16,92.70833,95.83333
18
+ 17,86.45833,95.83333
19
+ 18,88.54167,100.00000
20
+ 19,94.79167,91.66667
21
+ 20,92.70833,91.66667
22
+ 21,93.75000,100.00000
23
+ 22,94.79167,91.66667
24
+ 23,89.58333,95.83333
25
+ 24,94.79167,91.66667
26
+ 25,93.75000,100.00000
27
+ 26,88.54167,91.66667
28
+ 27,94.79167,91.66667
29
+ 28,94.79167,91.66667
30
+ 29,91.66667,100.00000
31
+ 30,94.79167,91.66667
32
+ 31,94.79167,100.00000
33
+ 32,95.83333,100.00000
34
+ 33,97.91667,100.00000
35
+ 34,93.75000,100.00000
36
+ 35,94.79167,100.00000
37
+ 36,98.95833,100.00000
38
+ 37,100.00000,100.00000
39
+ 38,95.83333,100.00000
40
+ 39,96.87500,100.00000
41
+ 40,95.83333,95.83333
42
+ 41,98.95833,100.00000
43
+ 42,94.79167,100.00000
44
+ 43,96.87500,100.00000
45
+ 44,98.95833,100.00000
46
+ 45,93.75000,100.00000
47
+ 46,100.00000,95.83333
48
+ 47,95.83333,100.00000
49
+ 48,94.79167,100.00000
50
+ 49,95.83333,100.00000
51
+ 50,93.75000,100.00000
experiments/eval/pocus_cv/fold1/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,56.25000,83.33333
3
+ 2,67.70833,87.50000
4
+ 3,72.91667,91.66667
5
+ 4,81.25000,91.66667
6
+ 5,76.04167,95.83333
7
+ 6,73.95833,87.50000
8
+ 7,78.12500,91.66667
9
+ 8,81.25000,91.66667
10
+ 9,86.45833,91.66667
11
+ 10,83.33333,91.66667
12
+ 11,82.29167,87.50000
13
+ 12,85.41667,95.83333
14
+ 13,90.62500,91.66667
15
+ 14,85.41667,83.33333
16
+ 15,87.50000,87.50000
17
+ 16,88.54167,91.66667
18
+ 17,90.62500,87.50000
19
+ 18,89.58333,91.66667
20
+ 19,90.62500,91.66667
21
+ 20,85.41667,91.66667
22
+ 21,88.54167,87.50000
23
+ 22,89.58333,91.66667
24
+ 23,92.70833,83.33333
25
+ 24,90.62500,87.50000
26
+ 25,92.70833,95.83333
27
+ 26,95.83333,87.50000
28
+ 27,96.87500,91.66667
29
+ 28,90.62500,95.83333
30
+ 29,93.75000,95.83333
31
+ 30,92.70833,95.83333
32
+ 31,97.91667,91.66667
33
+ 32,93.75000,91.66667
34
+ 33,94.79167,91.66667
35
+ 34,97.91667,95.83333
36
+ 35,96.87500,95.83333
37
+ 36,94.79167,91.66667
38
+ 37,95.83333,95.83333
39
+ 38,100.00000,95.83333
40
+ 39,100.00000,91.66667
41
+ 40,98.95833,91.66667
42
+ 41,95.83333,95.83333
43
+ 42,97.91667,91.66667
44
+ 43,96.87500,87.50000
45
+ 44,96.87500,91.66667
46
+ 45,96.87500,91.66667
47
+ 46,96.87500,95.83333
48
+ 47,96.87500,91.66667
49
+ 48,97.91667,91.66667
50
+ 49,96.87500,87.50000
51
+ 50,96.87500,91.66667
experiments/eval/pocus_cv/fold2/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,53.06122,87.50000
experiments/eval/pocus_cv/fold3/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,56.12245,66.66667
experiments/eval/pocus_cv/fold4/video_classification_frozen/echojepa-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ epoch,train_acc,val_acc
3
+ 1,53.06122,79.16667
4
+ 2,71.42857,91.66667
5
+ 3,77.55102,83.33333
6
+ 4,76.53061,83.33333
7
+ 5,71.42857,79.16667
8
+ 6,69.38776,95.83333
9
+ 7,84.69388,79.16667
10
+ 8,79.59184,79.16667
11
+ 9,78.57143,79.16667
12
+ 10,83.67347,79.16667
13
+ 11,83.67347,91.66667
14
+ 12,80.61224,91.66667
15
+ 13,88.77551,91.66667
16
+ 14,85.71429,83.33333
17
+ 15,83.67347,87.50000
18
+ 16,90.81633,87.50000
19
+ 17,88.77551,87.50000
20
+ 18,90.81633,87.50000
21
+ 19,91.83673,87.50000
22
+ 20,86.73469,91.66667
23
+ 21,90.81633,87.50000
24
+ 22,90.81633,87.50000
25
+ 23,93.87755,91.66667
26
+ 24,95.91837,95.83333
27
+ 25,93.87755,95.83333
28
+ 26,97.95918,95.83333
29
+ 27,93.87755,91.66667
30
+ 28,95.91837,95.83333
31
+ 29,94.89796,95.83333
32
+ 30,95.91837,95.83333
33
+ 31,95.91837,91.66667
34
+ 32,91.83673,87.50000
35
+ 33,94.89796,95.83333
36
+ 34,96.93878,95.83333
37
+ 35,96.93878,95.83333
38
+ 36,94.89796,95.83333
39
+ 37,95.91837,95.83333
40
+ 38,96.93878,95.83333
41
+ 39,90.81633,95.83333
42
+ 40,97.95918,95.83333
43
+ 41,97.95918,95.83333
44
+ 42,94.89796,95.83333
45
+ 43,98.97959,95.83333
46
+ 44,98.97959,95.83333
47
+ 45,96.93878,95.83333
48
+ 46,92.85714,95.83333
49
+ 47,98.97959,95.83333
50
+ 48,94.89796,95.83333
51
+ 49,98.97959,95.83333
52
+ 50,96.93878,95.83333
experiments/eval/pocus_cv_randinit/fold0/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,41.66667,54.16667
3
+ 2,41.66667,45.83333
4
+ 3,42.70833,50.00000
5
+ 4,42.70833,54.16667
6
+ 5,50.00000,41.66667
7
+ 6,36.45833,54.16667
8
+ 7,40.62500,54.16667
9
+ 8,45.83333,54.16667
10
+ 9,52.08333,54.16667
11
+ 10,42.70833,79.16667
12
+ 11,46.87500,45.83333
13
+ 12,41.66667,58.33333
14
+ 13,52.08333,54.16667
15
+ 14,44.79167,50.00000
16
+ 15,45.83333,75.00000
17
+ 16,51.04167,54.16667
18
+ 17,46.87500,54.16667
19
+ 18,48.95833,62.50000
20
+ 19,43.75000,58.33333
21
+ 20,53.12500,54.16667
22
+ 21,50.00000,54.16667
23
+ 22,50.00000,54.16667
24
+ 23,55.20833,54.16667
25
+ 24,56.25000,58.33333
26
+ 25,58.33333,54.16667
27
+ 26,56.25000,54.16667
28
+ 27,51.04167,66.66667
29
+ 28,60.41667,54.16667
30
+ 29,54.16667,58.33333
31
+ 30,54.16667,58.33333
32
+ 31,52.08333,75.00000
33
+ 32,52.08333,54.16667
34
+ 33,60.41667,58.33333
35
+ 34,57.29167,66.66667
36
+ 35,57.29167,70.83333
37
+ 36,58.33333,62.50000
38
+ 37,60.41667,54.16667
39
+ 38,65.62500,70.83333
40
+ 39,58.33333,75.00000
41
+ 40,58.33333,66.66667
42
+ 41,53.12500,66.66667
43
+ 42,52.08333,58.33333
44
+ 43,55.20833,66.66667
45
+ 44,60.41667,62.50000
46
+ 45,57.29167,62.50000
47
+ 46,56.25000,66.66667
48
+ 47,61.45833,66.66667
49
+ 48,58.33333,66.66667
50
+ 49,63.54167,66.66667
51
+ 50,57.29167,66.66667
experiments/eval/pocus_cv_randinit/fold1/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,33.33333,33.33333
3
+ 2,40.62500,58.33333
4
+ 3,41.66667,50.00000
5
+ 4,42.70833,58.33333
6
+ 5,50.00000,41.66667
7
+ 6,46.87500,54.16667
8
+ 7,53.12500,58.33333
9
+ 8,43.75000,54.16667
10
+ 9,48.95833,54.16667
11
+ 10,39.58333,54.16667
12
+ 11,50.00000,58.33333
13
+ 12,45.83333,58.33333
14
+ 13,44.79167,54.16667
15
+ 14,42.70833,54.16667
16
+ 15,43.75000,54.16667
17
+ 16,52.08333,58.33333
18
+ 17,53.12500,66.66667
19
+ 18,44.79167,58.33333
20
+ 19,42.70833,62.50000
21
+ 20,55.20833,54.16667
22
+ 21,48.95833,58.33333
23
+ 22,57.29167,58.33333
24
+ 23,55.20833,58.33333
25
+ 24,51.04167,58.33333
26
+ 25,57.29167,54.16667
27
+ 26,50.00000,58.33333
28
+ 27,50.00000,62.50000
29
+ 28,59.37500,58.33333
30
+ 29,48.95833,58.33333
31
+ 30,57.29167,58.33333
32
+ 31,55.20833,62.50000
33
+ 32,52.08333,58.33333
34
+ 33,57.29167,62.50000
35
+ 34,66.66667,66.66667
36
+ 35,58.33333,58.33333
37
+ 36,59.37500,66.66667
38
+ 37,55.20833,62.50000
39
+ 38,58.33333,70.83333
40
+ 39,64.58333,62.50000
41
+ 40,57.29167,66.66667
42
+ 41,61.45833,58.33333
43
+ 42,58.33333,58.33333
44
+ 43,60.41667,62.50000
45
+ 44,60.41667,62.50000
46
+ 45,59.37500,58.33333
47
+ 46,58.33333,66.66667
48
+ 47,63.54167,58.33333
49
+ 48,60.41667,62.50000
50
+ 49,62.50000,66.66667
51
+ 50,65.62500,62.50000
experiments/eval/pocus_cv_randinit/fold2/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,42.85714,58.33333
3
+ 2,43.87755,54.16667
4
+ 3,50.00000,50.00000
5
+ 4,47.95918,54.16667
6
+ 5,45.91837,58.33333
7
+ 6,42.85714,58.33333
8
+ 7,50.00000,58.33333
9
+ 8,52.04082,58.33333
10
+ 9,47.95918,54.16667
11
+ 10,47.95918,54.16667
12
+ 11,46.93878,50.00000
13
+ 12,48.97959,54.16667
14
+ 13,45.91837,58.33333
15
+ 14,47.95918,58.33333
16
+ 15,46.93878,54.16667
17
+ 16,45.91837,50.00000
18
+ 17,41.83673,58.33333
19
+ 18,45.91837,54.16667
20
+ 19,50.00000,58.33333
21
+ 20,55.10204,58.33333
22
+ 21,42.85714,58.33333
23
+ 22,51.02041,54.16667
24
+ 23,48.97959,58.33333
25
+ 24,45.91837,58.33333
26
+ 25,52.04082,58.33333
27
+ 26,46.93878,50.00000
28
+ 27,52.04082,62.50000
29
+ 28,55.10204,62.50000
30
+ 29,50.00000,62.50000
31
+ 30,56.12245,58.33333
32
+ 31,60.20408,62.50000
33
+ 32,58.16327,62.50000
34
+ 33,56.12245,54.16667
35
+ 34,51.02041,66.66667
36
+ 35,61.22449,62.50000
37
+ 36,54.08163,66.66667
38
+ 37,51.02041,62.50000
39
+ 38,61.22449,62.50000
40
+ 39,58.16327,62.50000
41
+ 40,55.10204,58.33333
42
+ 41,61.22449,58.33333
43
+ 42,60.20408,62.50000
44
+ 43,58.16327,66.66667
45
+ 44,64.28571,62.50000
46
+ 45,62.24490,66.66667
47
+ 46,58.16327,62.50000
48
+ 47,58.16327,62.50000
49
+ 48,65.30612,62.50000
50
+ 49,59.18367,62.50000
51
+ 50,58.16327,66.66667
experiments/eval/pocus_cv_randinit/fold3/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,43.87755,66.66667
3
+ 2,43.87755,62.50000
4
+ 3,51.02041,50.00000
5
+ 4,42.85714,54.16667
6
+ 5,44.89796,58.33333
7
+ 6,46.93878,45.83333
8
+ 7,51.02041,58.33333
9
+ 8,43.87755,58.33333
10
+ 9,44.89796,62.50000
11
+ 10,40.81633,54.16667
12
+ 11,47.95918,58.33333
13
+ 12,51.02041,54.16667
14
+ 13,44.89796,54.16667
15
+ 14,44.89796,54.16667
16
+ 15,45.91837,54.16667
17
+ 16,48.97959,50.00000
18
+ 17,45.91837,33.33333
19
+ 18,50.00000,54.16667
20
+ 19,45.91837,54.16667
21
+ 20,50.00000,70.83333
22
+ 21,51.02041,62.50000
23
+ 22,55.10204,54.16667
24
+ 23,53.06122,54.16667
25
+ 24,46.93878,62.50000
26
+ 25,53.06122,66.66667
27
+ 26,51.02041,54.16667
28
+ 27,55.10204,70.83333
29
+ 28,55.10204,75.00000
30
+ 29,56.12245,54.16667
31
+ 30,51.02041,70.83333
32
+ 31,59.18367,62.50000
33
+ 32,53.06122,62.50000
34
+ 33,54.08163,83.33333
35
+ 34,52.04082,58.33333
36
+ 35,59.18367,62.50000
37
+ 36,56.12245,70.83333
38
+ 37,54.08163,75.00000
39
+ 38,55.10204,70.83333
40
+ 39,56.12245,70.83333
41
+ 40,56.12245,70.83333
42
+ 41,52.04082,75.00000
43
+ 42,60.20408,70.83333
44
+ 43,58.16327,66.66667
45
+ 44,59.18367,70.83333
46
+ 45,63.26531,70.83333
47
+ 46,57.14286,70.83333
48
+ 47,54.08163,70.83333
49
+ 48,64.28571,70.83333
50
+ 49,59.18367,75.00000
51
+ 50,61.22449,75.00000
experiments/eval/pocus_cv_randinit/fold4/video_classification_frozen/randinit-vitl-pocus-cv/log_r0.csv ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch,train_acc,val_acc
2
+ 1,44.89796,29.16667
3
+ 2,48.97959,45.83333
4
+ 3,36.73469,45.83333
5
+ 4,50.00000,45.83333
6
+ 5,40.81633,50.00000
7
+ 6,43.87755,50.00000
8
+ 7,50.00000,29.16667
9
+ 8,46.93878,45.83333
10
+ 9,48.97959,45.83333
11
+ 10,47.95918,45.83333
12
+ 11,47.95918,45.83333
13
+ 12,42.85714,45.83333
14
+ 13,47.95918,45.83333
15
+ 14,46.93878,45.83333
16
+ 15,45.91837,45.83333
17
+ 16,46.93878,45.83333
18
+ 17,50.00000,58.33333
19
+ 18,54.08163,50.00000
20
+ 19,50.00000,45.83333
21
+ 20,55.10204,66.66667
22
+ 21,51.02041,50.00000
23
+ 22,51.02041,50.00000
24
+ 23,55.10204,58.33333
25
+ 24,40.81633,54.16667
26
+ 25,54.08163,45.83333
27
+ 26,55.10204,50.00000
28
+ 27,53.06122,66.66667
29
+ 28,50.00000,62.50000
30
+ 29,48.97959,45.83333
31
+ 30,51.02041,62.50000
32
+ 31,52.04082,50.00000
33
+ 32,55.10204,66.66667
34
+ 33,52.04082,66.66667
35
+ 34,53.06122,54.16667
36
+ 35,57.14286,54.16667
37
+ 36,58.16327,58.33333
38
+ 37,55.10204,66.66667
39
+ 38,60.20408,66.66667
40
+ 39,56.12245,58.33333
41
+ 40,61.22449,58.33333
42
+ 41,59.18367,66.66667
43
+ 42,57.14286,62.50000
44
+ 43,59.18367,58.33333
45
+ 44,63.26531,58.33333
46
+ 45,62.24490,58.33333
47
+ 46,60.20408,62.50000
48
+ 47,55.10204,58.33333
49
+ 48,56.12245,62.50000
50
+ 49,60.20408,62.50000
51
+ 50,60.20408,58.33333
experiments/pretrain/echonet_combined_vitl_224px_16f/log_r0.csv ADDED
The diff for this file is too large to render. See raw diff