File size: 4,155 Bytes
9cbd60c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.5903876477694423,
  "best_model_checkpoint": "case-analysis-legal-bert-base-uncased/checkpoint-896",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 896,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6570155902004454,
      "eval_f1_macro": 0.4081263564022185,
      "eval_f1_micro": 0.6570155902004454,
      "eval_f1_weighted": 0.6166399839312825,
      "eval_loss": 1.0114229917526245,
      "eval_macro_fpr": 0.19475132363363487,
      "eval_macro_sensitivity": 0.40746667217255456,
      "eval_macro_specificity": 0.8324392236563901,
      "eval_precision": 0.6178816225558943,
      "eval_precision_macro": 0.4664000256488353,
      "eval_recall": 0.6570155902004454,
      "eval_recall_macro": 0.40746667217255456,
      "eval_runtime": 7.3199,
      "eval_samples_per_second": 61.34,
      "eval_steps_per_second": 7.787,
      "eval_weighted_fpr": 0.1482194417709336,
      "eval_weighted_sensitivity": 0.6570155902004454,
      "eval_weighted_specificity": 0.6727413044251147,
      "step": 224
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7750556792873051,
      "eval_f1_macro": 0.5658663855845003,
      "eval_f1_micro": 0.775055679287305,
      "eval_f1_weighted": 0.7564492543508543,
      "eval_loss": 0.764952540397644,
      "eval_macro_fpr": 0.10943701020063132,
      "eval_macro_sensitivity": 0.5805958747135218,
      "eval_macro_specificity": 0.9039084791647444,
      "eval_precision": 0.7425093237919278,
      "eval_precision_macro": 0.5566158325717437,
      "eval_recall": 0.7750556792873051,
      "eval_recall_macro": 0.5805958747135218,
      "eval_runtime": 30.7218,
      "eval_samples_per_second": 14.615,
      "eval_steps_per_second": 1.855,
      "eval_weighted_fpr": 0.08820960698689956,
      "eval_weighted_sensitivity": 0.7750556792873051,
      "eval_weighted_specificity": 0.8405782373716723,
      "step": 448
    },
    {
      "epoch": 2.232142857142857,
      "grad_norm": 9.53757095336914,
      "learning_rate": 4.631696428571429e-05,
      "loss": 0.7677,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7817371937639198,
      "eval_f1_macro": 0.5707248076329534,
      "eval_f1_micro": 0.7817371937639198,
      "eval_f1_weighted": 0.7678448816993292,
      "eval_loss": 0.7341566681861877,
      "eval_macro_fpr": 0.10409605667370833,
      "eval_macro_sensitivity": 0.5967117805353099,
      "eval_macro_specificity": 0.9083046086144851,
      "eval_precision": 0.7694906286035585,
      "eval_precision_macro": 0.5673619923602318,
      "eval_recall": 0.7817371937639198,
      "eval_recall_macro": 0.5967117805353099,
      "eval_runtime": 32.9882,
      "eval_samples_per_second": 13.611,
      "eval_steps_per_second": 1.728,
      "eval_weighted_fpr": 0.08514335360556038,
      "eval_weighted_sensitivity": 0.7817371937639198,
      "eval_weighted_specificity": 0.8514812406940205,
      "step": 672
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8173719376391982,
      "eval_f1_macro": 0.5903876477694423,
      "eval_f1_micro": 0.8173719376391981,
      "eval_f1_weighted": 0.7920921547144288,
      "eval_loss": 0.7967568635940552,
      "eval_macro_fpr": 0.09654289346260755,
      "eval_macro_sensitivity": 0.5892796922208687,
      "eval_macro_specificity": 0.9135512326349768,
      "eval_precision": 0.776630887817645,
      "eval_precision_macro": 0.6035747039094435,
      "eval_recall": 0.8173719376391982,
      "eval_recall_macro": 0.5892796922208687,
      "eval_runtime": 31.5737,
      "eval_samples_per_second": 14.221,
      "eval_steps_per_second": 1.805,
      "eval_weighted_fpr": 0.06931530008453085,
      "eval_weighted_sensitivity": 0.8173719376391982,
      "eval_weighted_specificity": 0.836832992900709,
      "step": 896
    }
  ],
  "logging_steps": 500,
  "max_steps": 6720,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 1886013911728128.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}