File size: 3,824 Bytes
36cc3ec
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8b1a796
36cc3ec
 
 
 
 
 
8b1a796
36cc3ec
8b1a796
 
 
 
 
 
 
 
 
 
 
 
36cc3ec
8b1a796
 
 
 
36cc3ec
 
 
 
8b1a796
36cc3ec
8b1a796
 
 
 
 
 
36cc3ec
 
 
 
8b1a796
36cc3ec
 
 
8b1a796
36cc3ec
8b1a796
36cc3ec
 
 
 
5f029c0
8b1a796
5f029c0
 
 
8b1a796
5f029c0
8b1a796
 
 
 
 
 
 
 
 
5f029c0
 
8b1a796
 
 
 
 
 
5f029c0
 
36cc3ec
8b1a796
 
 
 
 
 
 
 
 
 
 
 
36cc3ec
8b1a796
 
 
 
36cc3ec
 
8b1a796
36cc3ec
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
{
  "hyperparameters": {
    "include_attention_output_dense": false,
    "learning_rate_sampled": 0.00044569416489470884,
    "weight_decay": 0.022491619139739856,
    "warmup_ratio": 0.0463266472104081,
    "lr_scheduler_num_cycles": 1,
    "per_device_train_batch_size": 8,
    "gradient_accumulation_steps": 4,
    "num_train_epochs": 2,
    "lora_r": 32,
    "lora_alpha": 128,
    "lora_dropout": 0.0,
    "lora_target_modules": [
      "query_proj",
      "key_proj",
      "value_proj"
    ],
    "learning_rate": 0.00014057133690327707,
    "lr_scheduler_type": "cosine_with_restarts",
    "max_grad_norm": 0.5,
    "optim": "adamw_torch_fused"
  },
  "threshold_optimization": {
    "max_f1": {
      "threshold": 0.869714617729187,
      "metrics": {
        "threshold": 0.869714617729187,
        "auroc": 0.9984783120401353,
        "average_precision": 0.9985350724478098,
        "f1": 0.9809629649707713,
        "accuracy": 0.9811363829663419,
        "precision": 0.9900603673104631,
        "recall": 0.9720312276178198,
        "specificity": 0.9902414567983026,
        "precision_human": 0.9725316756205432,
        "recall_human": 0.9902414567983026,
        "precision_ai": 0.9900603673104631,
        "recall_ai": 0.9720312276178198,
        "confusion_matrix": {
          "true_negative": 110607,
          "false_positive": 1090,
          "false_negative": 3124,
          "true_positive": 108572
        }
      }
    },
    "precision_at_95recall": {
      "threshold": 3.6534821390432626e-08,
      "metrics": {
        "threshold": 3.6534821390432626e-08,
        "auroc": 0.9984783120401353,
        "average_precision": 0.9985350724478098,
        "f1": 0.6666646771454748,
        "accuracy": 0.49999776179199884,
        "precision": 0.49999776179199884,
        "recall": 1.0,
        "specificity": 0.0,
        "precision_human": 0.0,
        "recall_human": 0.0,
        "precision_ai": 0.49999776179199884,
        "recall_ai": 1.0,
        "confusion_matrix": {
          "true_negative": 0,
          "false_positive": 111697,
          "false_negative": 0,
          "true_positive": 111696
        }
      }
    }
  },
  "calibration": {
    "temperature": 1.4436575174331665,
    "method": "temperature_scaling",
    "calibration_set": "calibration",
    "calibration_metrics": {
      "temperature": 1.4436575174331665,
      "optimization_method": "LBFGS_logspace",
      "uncalibrated_nll": 0.057230830731130305,
      "calibrated_nll": 0.05340311260808736,
      "uncalibrated_ece": 0.007595386161633095,
      "calibrated_ece": 0.011707928851842823,
      "uncalibrated_brier": 0.01589206575792085,
      "calibrated_brier": 0.015775692446082124,
      "nll_improvement": 0.0038277181230429447,
      "ece_improvement": -0.004112542690209728,
      "brier_improvement": 0.00011637331183872793
    },
    "test_metrics": {
      "ece_before": 0.007462335961689493,
      "ece_after": 0.011600581100766194,
      "ece_improvement": -0.004138245139076701,
      "brier_before": 0.015727129447539786,
      "brier_after": 0.0156334356493489,
      "brier_improvement": 9.369379819088725e-05
    }
  },
  "test_metrics": {
    "threshold": 0.869714617729187,
    "auroc": 0.9984910666612247,
    "average_precision": 0.9985476887515279,
    "f1": 0.981194394455165,
    "accuracy": 0.9813637682145531,
    "precision": 0.9901900719151605,
    "recall": 0.972360693310414,
    "specificity": 0.9903667786364515,
    "precision_human": 0.9728497555141239,
    "recall_human": 0.9903667786364515,
    "precision_ai": 0.9901900719151605,
    "recall_ai": 0.972360693310414,
    "confusion_matrix": {
      "true_negative": 138276,
      "false_positive": 1345,
      "false_negative": 3859,
      "true_positive": 135761
    }
  },
  "timestamp": "20251124_170935",
  "seed": 42
}