Hugging Face's logo

AegisOSS
/
stage-2

Image Classification
timm
ONNX
PyTorch
English
medical
histopathology
cancer-classification
oncotree
resnet50
int8
Eval Results (legacy)
Model card Files
xet
 Community
stage-2
File size: 3,062 Bytes
f0fde20
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best": {
    "accuracy": 0.8615384615384616,
    "balanced_accuracy": 0.8831168831168832,
    "macro_f1": 0.8830379746835443,
    "weighted_f1": 0.8614449853943525,
    "train_loss": 0.10038254000460797
  },
  "history": [
    {
      "epoch": 1,
      "accuracy": 0.6192307692307693,
      "balanced_accuracy": 0.6270423125261835,
      "macro_f1": 0.6320931302169766,
      "weighted_f1": 0.604872716650196,
      "train_loss": 1.204805181667074
    },
    {
      "epoch": 2,
      "accuracy": 0.7961538461538461,
      "balanced_accuracy": 0.827922077922078,
      "macro_f1": 0.8081030062584729,
      "weighted_f1": 0.7911598121935696,
      "train_loss": 0.4501433116839181
    },
    {
      "epoch": 3,
      "accuracy": 0.8384615384615385,
      "balanced_accuracy": 0.8612012987012987,
      "macro_f1": 0.8589727645815197,
      "weighted_f1": 0.835821582658108,
      "train_loss": 0.19666762697765253
    },
    {
      "epoch": 4,
      "accuracy": 0.8538461538461538,
      "balanced_accuracy": 0.8766233766233766,
      "macro_f1": 0.874506776462515,
      "weighted_f1": 0.8513387967325178,
      "train_loss": 0.14478116510045655
    },
    {
      "epoch": 5,
      "accuracy": 0.85,
      "balanced_accuracy": 0.8733766233766234,
      "macro_f1": 0.8733285527481335,
      "weighted_f1": 0.8499430547939428,
      "train_loss": 0.11779297081387817
    },
    {
      "epoch": 6,
      "accuracy": 0.8576923076923076,
      "balanced_accuracy": 0.8798701298701299,
      "macro_f1": 0.8778423522321237,
      "weighted_f1": 0.8567162730936462,
      "train_loss": 0.1143842127446572
    },
    {
      "epoch": 7,
      "accuracy": 0.8538461538461538,
      "balanced_accuracy": 0.8766233766233766,
      "macro_f1": 0.8765400843881856,
      "weighted_f1": 0.8537474845829277,
      "train_loss": 0.10838874956576082
    },
    {
      "epoch": 8,
      "accuracy": 0.8615384615384616,
      "balanced_accuracy": 0.8831168831168832,
      "macro_f1": 0.8830379746835443,
      "weighted_f1": 0.8614449853943525,
      "train_loss": 0.10038254000460797
    },
    {
      "epoch": 9,
      "accuracy": 0.8307692307692308,
      "balanced_accuracy": 0.8571428571428572,
      "macro_f1": 0.8567562996786742,
      "weighted_f1": 0.8303113088501216,
      "train_loss": 0.09510761173709847
    },
    {
      "epoch": 10,
      "accuracy": 0.8615384615384616,
      "balanced_accuracy": 0.8831168831168832,
      "macro_f1": 0.8811241512666561,
      "weighted_f1": 0.8606039427191693,
      "train_loss": 0.11316575840935907
    }
  ],
  "data_summary": {
    "total": 1743,
    "per_subtype": {
      "LUAD": 517,
      "LUSC": 517,
      "CRC": 294,
      "BRCA": 415
    },
    "per_dataset": {
      "lc25000": 900,
      "lung_cancer_dorsar": 428,
      "breast_histopathology_patches": 415
    },
    "num_classes_present": 4,
    "trainable_oncotree": [
      "BRCA",
      "CRC",
      "LUAD",
      "LUSC"
    ]
  }
}