RTLucassen commited on
Commit
27d9d92
·
verified ·
1 Parent(s): 378345d

Upload models

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. hipt_256/01_spitz_tumor_vs_conventional_melanoma/101__hipt_256__val_fold-1/checkpoint_I0028800.tar +3 -0
  2. hipt_256/01_spitz_tumor_vs_conventional_melanoma/101__hipt_256__val_fold-1/training.json +87 -0
  3. hipt_256/01_spitz_tumor_vs_conventional_melanoma/102__hipt_256__val_fold-2/checkpoint_I0011840.tar +3 -0
  4. hipt_256/01_spitz_tumor_vs_conventional_melanoma/102__hipt_256__val_fold-2/training.json +87 -0
  5. hipt_256/01_spitz_tumor_vs_conventional_melanoma/103__hipt_256__val_fold-3/checkpoint_I0008960.tar +3 -0
  6. hipt_256/01_spitz_tumor_vs_conventional_melanoma/103__hipt_256__val_fold-3/training.json +87 -0
  7. hipt_256/01_spitz_tumor_vs_conventional_melanoma/104__hipt_256__val_fold-4/checkpoint_I0015360.tar +3 -0
  8. hipt_256/01_spitz_tumor_vs_conventional_melanoma/104__hipt_256__val_fold-4/training.json +87 -0
  9. hipt_256/01_spitz_tumor_vs_conventional_melanoma/105__hipt_256__val_fold-5/checkpoint_I0017280.tar +3 -0
  10. hipt_256/01_spitz_tumor_vs_conventional_melanoma/105__hipt_256__val_fold-5/training.json +87 -0
  11. hipt_256/02_spitz_genetic_aberration/106__hipt_256__val_fold-1/checkpoint_I0003520.tar +3 -0
  12. hipt_256/02_spitz_genetic_aberration/106__hipt_256__val_fold-1/training.json +89 -0
  13. hipt_256/02_spitz_genetic_aberration/107__hipt_256__val_fold-2/checkpoint_I0010560.tar +3 -0
  14. hipt_256/02_spitz_genetic_aberration/107__hipt_256__val_fold-2/training.json +89 -0
  15. hipt_256/02_spitz_genetic_aberration/108__hipt_256__val_fold-3/checkpoint_I0008320.tar +3 -0
  16. hipt_256/02_spitz_genetic_aberration/108__hipt_256__val_fold-3/training.json +89 -0
  17. hipt_256/02_spitz_genetic_aberration/109__hipt_256__val_fold-4/checkpoint_I0004160.tar +3 -0
  18. hipt_256/02_spitz_genetic_aberration/109__hipt_256__val_fold-4/training.json +89 -0
  19. hipt_256/02_spitz_genetic_aberration/110__hipt_256__val_fold-5/checkpoint_I0032000.tar +3 -0
  20. hipt_256/02_spitz_genetic_aberration/110__hipt_256__val_fold-5/training.json +89 -0
  21. hipt_256/03_spitz_diagnostic_classification/111__hipt_256__val_fold-1/checkpoint_I0002880.tar +3 -0
  22. hipt_256/03_spitz_diagnostic_classification/111__hipt_256__val_fold-1/training.json +84 -0
  23. hipt_256/03_spitz_diagnostic_classification/112__hipt_256__val_fold-2/checkpoint_I0005120.tar +3 -0
  24. hipt_256/03_spitz_diagnostic_classification/112__hipt_256__val_fold-2/training.json +84 -0
  25. hipt_256/03_spitz_diagnostic_classification/113__hipt_256__val_fold-3/checkpoint_I0007040.tar +3 -0
  26. hipt_256/03_spitz_diagnostic_classification/113__hipt_256__val_fold-3/training.json +84 -0
  27. hipt_256/03_spitz_diagnostic_classification/114__hipt_256__val_fold-4/checkpoint_I0003520.tar +3 -0
  28. hipt_256/03_spitz_diagnostic_classification/114__hipt_256__val_fold-4/training.json +84 -0
  29. hipt_256/03_spitz_diagnostic_classification/115__hipt_256__val_fold-5/checkpoint_I0011200.tar +3 -0
  30. hipt_256/03_spitz_diagnostic_classification/115__hipt_256__val_fold-5/training.json +84 -0
  31. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/001__hipt_4k__val_fold-1/checkpoint_I0011840.tar +3 -0
  32. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/001__hipt_4k__val_fold-1/training.json +87 -0
  33. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/002__hipt_4k__val_fold-2/checkpoint_I0008960.tar +3 -0
  34. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/002__hipt_4k__val_fold-2/training.json +87 -0
  35. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/003__hipt_4k__val_fold-3/checkpoint_I0020160.tar +3 -0
  36. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/003__hipt_4k__val_fold-3/training.json +87 -0
  37. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/004__hipt_4k__val_fold-4/checkpoint_I0009920.tar +3 -0
  38. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/004__hipt_4k__val_fold-4/training.json +87 -0
  39. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/005__hipt_4k__val_fold-5/checkpoint_I0015040.tar +3 -0
  40. hipt_4k/01_spitz_tumor_vs_conventional_melanoma/005__hipt_4k__val_fold-5/training.json +87 -0
  41. hipt_4k/02_spitz_genetic_aberration/006__hipt_4k__val_fold-1/checkpoint_I0003840.tar +3 -0
  42. hipt_4k/02_spitz_genetic_aberration/006__hipt_4k__val_fold-1/training.json +89 -0
  43. hipt_4k/02_spitz_genetic_aberration/007__hipt_4k__val_fold-2/checkpoint_I0004480.tar +3 -0
  44. hipt_4k/02_spitz_genetic_aberration/007__hipt_4k__val_fold-2/training.json +89 -0
  45. hipt_4k/02_spitz_genetic_aberration/008__hipt_4k__val_fold-3/checkpoint_I0009280.tar +3 -0
  46. hipt_4k/02_spitz_genetic_aberration/008__hipt_4k__val_fold-3/training.json +89 -0
  47. hipt_4k/02_spitz_genetic_aberration/009__hipt_4k__val_fold-4/checkpoint_I0007680.tar +3 -0
  48. hipt_4k/02_spitz_genetic_aberration/009__hipt_4k__val_fold-4/training.json +89 -0
  49. hipt_4k/02_spitz_genetic_aberration/010__hipt_4k__val_fold-5/checkpoint_I0009280.tar +3 -0
  50. hipt_4k/02_spitz_genetic_aberration/010__hipt_4k__val_fold-5/training.json +89 -0
hipt_256/01_spitz_tumor_vs_conventional_melanoma/101__hipt_256__val_fold-1/checkpoint_I0028800.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3a1f4aa550b056423c37a66403506a3e1e823091f3523d105d77b4a99ddab2b
3
+ size 11628826
hipt_256/01_spitz_tumor_vs_conventional_melanoma/101__hipt_256__val_fold-1/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "101__hipt_256__val_fold-1",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-2",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-1"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_256/01_spitz_tumor_vs_conventional_melanoma/102__hipt_256__val_fold-2/checkpoint_I0011840.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c33ee1c092e2f5da77d06f5765fb96d49af2247d2c5b3b0c4d6c5b44c0bfc32
3
+ size 11628826
hipt_256/01_spitz_tumor_vs_conventional_melanoma/102__hipt_256__val_fold-2/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "102__hipt_256__val_fold-2",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-2"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_256/01_spitz_tumor_vs_conventional_melanoma/103__hipt_256__val_fold-3/checkpoint_I0008960.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c9ca2eb5a39b34e80d206ce2d79adff72abdc00e05d97f46a41f7b07ae23f58
3
+ size 11628826
hipt_256/01_spitz_tumor_vs_conventional_melanoma/103__hipt_256__val_fold-3/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "103__hipt_256__val_fold-3",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-3"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_256/01_spitz_tumor_vs_conventional_melanoma/104__hipt_256__val_fold-4/checkpoint_I0015360.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6197b33d3f904e8d0010419abf8969b1eaac87e87c05358da8f3d926c5e6b464
3
+ size 11628826
hipt_256/01_spitz_tumor_vs_conventional_melanoma/104__hipt_256__val_fold-4/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "104__hipt_256__val_fold-4",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-4"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_256/01_spitz_tumor_vs_conventional_melanoma/105__hipt_256__val_fold-5/checkpoint_I0017280.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24f694cb9940b903ef79f2241e867eb9788d37654f8e99cf8749ec9834af8dbe
3
+ size 11628826
hipt_256/01_spitz_tumor_vs_conventional_melanoma/105__hipt_256__val_fold-5/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "105__hipt_256__val_fold-5",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-4"
11
+ ],
12
+ "validation": [
13
+ "fold-5"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_256/02_spitz_genetic_aberration/106__hipt_256__val_fold-1/checkpoint_I0003520.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f8cf19aed420c1ff5582c53cb89603bba35709dce6e315acb24efa4fbf5d5f8
3
+ size 11633434
hipt_256/02_spitz_genetic_aberration/106__hipt_256__val_fold-1/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "106__hipt_256__val_fold-1",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-2",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-1"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 2,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_256/02_spitz_genetic_aberration/107__hipt_256__val_fold-2/checkpoint_I0010560.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dfbd6ef040aaa40b9f79e225db84cebf3faee32b0847b615787313518457d21f
3
+ size 11633434
hipt_256/02_spitz_genetic_aberration/107__hipt_256__val_fold-2/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "107__hipt_256__val_fold-2",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-2"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_256/02_spitz_genetic_aberration/108__hipt_256__val_fold-3/checkpoint_I0008320.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:785cea3999373d7c23015dd0b2ba20f3b137f3f9cb5ad95709b7d18e60f82831
3
+ size 11633434
hipt_256/02_spitz_genetic_aberration/108__hipt_256__val_fold-3/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "108__hipt_256__val_fold-3",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-3"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_256/02_spitz_genetic_aberration/109__hipt_256__val_fold-4/checkpoint_I0004160.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b129f1ca9f0ee450d942199cf8690999e5b5ecde3499c5b1898f1dc495212c31
3
+ size 11633434
hipt_256/02_spitz_genetic_aberration/109__hipt_256__val_fold-4/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "109__hipt_256__val_fold-4",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-4"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 4,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_256/02_spitz_genetic_aberration/110__hipt_256__val_fold-5/checkpoint_I0032000.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6fd942f7c7bbd3c3c05f9bd23344d9f69bdd2b3db65c4c582f43046853ef14b4
3
+ size 11633434
hipt_256/02_spitz_genetic_aberration/110__hipt_256__val_fold-5/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "110__hipt_256__val_fold-5",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-4"
11
+ ],
12
+ "validation": [
13
+ "fold-5"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_256/03_spitz_diagnostic_classification/111__hipt_256__val_fold-1/checkpoint_I0002880.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf5542317a4ca44359a6553180c8e5ad6ac2775a141bfa235b619248915c473c
3
+ size 11631130
hipt_256/03_spitz_diagnostic_classification/111__hipt_256__val_fold-1/training.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "111__hipt_256__val_fold-1",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-2",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-1"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz dignity",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 3,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": "balanced",
78
+ "section_dropout_prob": 0.0,
79
+ "feature_dropout_prob": 0.5,
80
+ "maximum_features": 25000,
81
+ "patient_mul_factor": 1.0
82
+ },
83
+ "save_all_checkpoints": false
84
+ }
hipt_256/03_spitz_diagnostic_classification/112__hipt_256__val_fold-2/checkpoint_I0005120.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47d4d2328bddc8d516a6988daf16ad12e45455494cc8062a112dcd1e6ffd68f8
3
+ size 11631130
hipt_256/03_spitz_diagnostic_classification/112__hipt_256__val_fold-2/training.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "112__hipt_256__val_fold-2",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-2"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz dignity",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 3,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": "balanced",
78
+ "section_dropout_prob": 0.0,
79
+ "feature_dropout_prob": 0.5,
80
+ "maximum_features": 25000,
81
+ "patient_mul_factor": 1.0
82
+ },
83
+ "save_all_checkpoints": false
84
+ }
hipt_256/03_spitz_diagnostic_classification/113__hipt_256__val_fold-3/checkpoint_I0007040.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e9a7f2f99320946ae54367462ad65f133e55e021128feb9f80b0daa460b2b6d7
3
+ size 11631130
hipt_256/03_spitz_diagnostic_classification/113__hipt_256__val_fold-3/training.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "113__hipt_256__val_fold-3",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-3"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz dignity",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 3,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": "balanced",
78
+ "section_dropout_prob": 0.0,
79
+ "feature_dropout_prob": 0.5,
80
+ "maximum_features": 25000,
81
+ "patient_mul_factor": 1.0
82
+ },
83
+ "save_all_checkpoints": false
84
+ }
hipt_256/03_spitz_diagnostic_classification/114__hipt_256__val_fold-4/checkpoint_I0003520.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2ae0e0a811d8b551d84bcdd77c3be5bb84023c7b9f58d6c93c3524f29cd03aa
3
+ size 11631130
hipt_256/03_spitz_diagnostic_classification/114__hipt_256__val_fold-4/training.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "114__hipt_256__val_fold-4",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-4"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz dignity",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 3,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": "balanced",
78
+ "section_dropout_prob": 0.0,
79
+ "feature_dropout_prob": 0.5,
80
+ "maximum_features": 25000,
81
+ "patient_mul_factor": 1.0
82
+ },
83
+ "save_all_checkpoints": false
84
+ }
hipt_256/03_spitz_diagnostic_classification/115__hipt_256__val_fold-5/checkpoint_I0011200.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b315168eb126e99b8c69646f58475b9cb5b00f2cc7375ec2596fd87560044120
3
+ size 11631130
hipt_256/03_spitz_diagnostic_classification/115__hipt_256__val_fold-5/training.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "115__hipt_256__val_fold-5",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-4"
11
+ ],
12
+ "validation": [
13
+ "fold-5"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz dignity",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 384,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 3,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": "balanced",
78
+ "section_dropout_prob": 0.0,
79
+ "feature_dropout_prob": 0.5,
80
+ "maximum_features": 25000,
81
+ "patient_mul_factor": 1.0
82
+ },
83
+ "save_all_checkpoints": false
84
+ }
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/001__hipt_4k__val_fold-1/checkpoint_I0011840.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d03d6497b33bb9717f539f588a307fb16855b9f6e1e664121fc2b7b3489c4b4
3
+ size 11184858
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/001__hipt_4k__val_fold-1/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "001__hipt_4k__val_fold-1",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-2",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-1"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/002__hipt_4k__val_fold-2/checkpoint_I0008960.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4242b02cea4a6bfa6bac1621700e20a486a1b8947085805e8deff3530b7dd77a
3
+ size 11184858
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/002__hipt_4k__val_fold-2/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "002__hipt_4k__val_fold-2",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-2"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/003__hipt_4k__val_fold-3/checkpoint_I0020160.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd89a337144ff737b3b3cad2b5b8c128d4dae24e0edbe54673d53cb4c0f58aa0
3
+ size 11184858
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/003__hipt_4k__val_fold-3/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "003__hipt_4k__val_fold-3",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-3"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/004__hipt_4k__val_fold-4/checkpoint_I0009920.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a8af543f1fd61ede0e6c023fb08f987ba6cd01219fd6fffb1fce4a406956ae9
3
+ size 11184858
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/004__hipt_4k__val_fold-4/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "004__hipt_4k__val_fold-4",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-4"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/005__hipt_4k__val_fold-5/checkpoint_I0015040.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8e694d0a5a60de4d9ecd1f1ad5c88efde2897bc8b3dea4ce07d9def8ac47144
3
+ size 11184858
hipt_4k/01_spitz_tumor_vs_conventional_melanoma/005__hipt_4k__val_fold-5/training.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "005__hipt_4k__val_fold-5",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-4"
11
+ ],
12
+ "validation": [
13
+ "fold-5"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz vs conventional melanoma",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 2,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1
80
+ ],
81
+ "section_dropout_prob": 0.0,
82
+ "feature_dropout_prob": 0.5,
83
+ "maximum_features": 25000,
84
+ "patient_mul_factor": 1.0
85
+ },
86
+ "save_all_checkpoints": false
87
+ }
hipt_4k/02_spitz_genetic_aberration/006__hipt_4k__val_fold-1/checkpoint_I0003840.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d577f8657cbd05dbf9cfa5d2b7e15fb69dae4cd4a4e39b94db4e3c7d76bcfe19
3
+ size 11274752
hipt_4k/02_spitz_genetic_aberration/006__hipt_4k__val_fold-1/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "006__hipt_4k__val_fold-1",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-2",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-1"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 3,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_4k/02_spitz_genetic_aberration/007__hipt_4k__val_fold-2/checkpoint_I0004480.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:156cda380f451fade5f22392252954ff9f1b2b51809bafc397fa5ec935880103
3
+ size 11189466
hipt_4k/02_spitz_genetic_aberration/007__hipt_4k__val_fold-2/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "007__hipt_4k__val_fold-2",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-3",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-2"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 2,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_4k/02_spitz_genetic_aberration/008__hipt_4k__val_fold-3/checkpoint_I0009280.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6716c8e57f3016859ba2b31db30c674f3af9a9e7507dbbfe2eeedbe8bba04dcc
3
+ size 11189466
hipt_4k/02_spitz_genetic_aberration/008__hipt_4k__val_fold-3/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "008__hipt_4k__val_fold-3",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-4",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-3"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_4k/02_spitz_genetic_aberration/009__hipt_4k__val_fold-4/checkpoint_I0007680.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86e8890a83ef91cbce48a8cce071726ccb66cbe68617b448fb07364c60e4e3d9
3
+ size 11189466
hipt_4k/02_spitz_genetic_aberration/009__hipt_4k__val_fold-4/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "009__hipt_4k__val_fold-4",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-5"
11
+ ],
12
+ "validation": [
13
+ "fold-4"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }
hipt_4k/02_spitz_genetic_aberration/010__hipt_4k__val_fold-5/checkpoint_I0009280.tar ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f3a15e393080f4a95e6c0daef0be0f80d7d7a1ba5c2a43eeca138ecf03061ae
3
+ size 11189466
hipt_4k/02_spitz_genetic_aberration/010__hipt_4k__val_fold-5/training.json ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment_name": "010__hipt_4k__val_fold-5",
3
+ "config_file": "training.json",
4
+ "subsets_file": "subsets.json",
5
+ "subsets_config": {
6
+ "training": [
7
+ "fold-1",
8
+ "fold-2",
9
+ "fold-3",
10
+ "fold-4"
11
+ ],
12
+ "validation": [
13
+ "fold-5"
14
+ ],
15
+ "test": [
16
+ "test"
17
+ ]
18
+ },
19
+ "variant": "dataset",
20
+ "origin": [
21
+ "internal"
22
+ ],
23
+ "rank": [
24
+ 1,
25
+ 2,
26
+ 3,
27
+ 4,
28
+ 5,
29
+ 6,
30
+ 7,
31
+ 8,
32
+ 9,
33
+ 10,
34
+ 11,
35
+ 12,
36
+ 13,
37
+ 14,
38
+ 15
39
+ ],
40
+ "task": "spitz subtype",
41
+ "seed": 1,
42
+ "model": "ViT",
43
+ "model_config": {
44
+ "tile_shape": null,
45
+ "model_arguments": {
46
+ "input_shape": null,
47
+ "patch_shape": null,
48
+ "input_dim": 192,
49
+ "embed_dim": 192,
50
+ "patient_dim": null,
51
+ "n_classes": 4,
52
+ "depth": 2,
53
+ "n_heads": 4,
54
+ "mlp_ratio": 4,
55
+ "patient_token": false,
56
+ "pos_embed": false,
57
+ "learnable_weight": false,
58
+ "dropout_prob": 0.0,
59
+ "attn_dropout_prob": 0.5,
60
+ "drop_path_rate": 0.0,
61
+ "pytorch_attn_imp": false
62
+ },
63
+ "compile_model": false
64
+ },
65
+ "training_config": {
66
+ "learning_rate": 5e-05,
67
+ "iterations": 32000,
68
+ "iterations_per_decay": 6400,
69
+ "decay_factor": 0.5,
70
+ "iterations_per_checkpoint": 320,
71
+ "iterations_per_update": 32,
72
+ "eval_repetitions": 1,
73
+ "batch_size": 1,
74
+ "optimizer": "AdamW",
75
+ "loss_function": "CrossEntropyLoss",
76
+ "focal_gamma": 0.0,
77
+ "class_weights": [
78
+ 1,
79
+ 1,
80
+ 1,
81
+ 1
82
+ ],
83
+ "section_dropout_prob": 0.0,
84
+ "feature_dropout_prob": 0.5,
85
+ "maximum_features": 25000,
86
+ "patient_mul_factor": 1.0
87
+ },
88
+ "save_all_checkpoints": false
89
+ }