File size: 1,944 Bytes
6815986
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "backend": "transformers",
  "model_name": "apple/mobilevitv2-1.0-imagenet1k-256",
  "img_size": 288,
  "mean": [
    0.485,
    0.456,
    0.406
  ],
  "std": [
    0.229,
    0.224,
    0.225
  ],
  "labels": [
    "0",
    "1"
  ],
  "threshold": 0.91166090965271,
  "input_name": "pixel_values",
  "output_name": "logits",
  "val_metrics": {
    "ap": 0.9998433583959898,
    "auc": 0.9998391248391248,
    "threshold": 0.91166090965271,
    "per_label": {
      "report_by_label": {
        "0": {
          "precision": 0.9910714285714286,
          "recall": 1.0,
          "f1-score": 0.9955156950672646,
          "support": 111.0
        },
        "1": {
          "precision": 1.0,
          "recall": 0.9910714285714286,
          "f1-score": 0.9955156950672646,
          "support": 112.0
        }
      },
      "accuracy": 0.9955156950672646,
      "confusion_matrix": {
        "labels": [
          "0",
          "1"
        ],
        "matrix": [
          [
            111,
            0
          ],
          [
            1,
            111
          ]
        ]
      }
    },
    "threshold_best_f1_score": 0.9955156950667645
  },
  "test_metrics": {
    "ap": 0.9991997793851138,
    "auc": 0.9991956241956241,
    "threshold": 0.91166090965271,
    "per_label": {
      "report_by_label": {
        "0": {
          "precision": 0.9572649572649573,
          "recall": 1.0,
          "f1-score": 0.9781659388646288,
          "support": 112.0
        },
        "1": {
          "precision": 1.0,
          "recall": 0.954954954954955,
          "f1-score": 0.9769585253456221,
          "support": 111.0
        }
      },
      "accuracy": 0.9775784753363229,
      "confusion_matrix": {
        "labels": [
          "0",
          "1"
        ],
        "matrix": [
          [
            112,
            0
          ],
          [
            5,
            106
          ]
        ]
      }
    }
  }
}