File size: 3,424 Bytes
8ff7384
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.6248193338597906,
  "best_model_checkpoint": "bart-large-lora-no-grad/checkpoint-1929",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 1929,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.78,
      "learning_rate": 4.740798341109383e-05,
      "loss": 1.3548,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7567776917118513,
      "eval_f1_macro": 0.43635159996281114,
      "eval_f1_micro": 0.7567776917118513,
      "eval_f1_weighted": 0.735942387508421,
      "eval_loss": 0.7811183333396912,
      "eval_macro_fpr": 0.023397002359423266,
      "eval_macro_sensitivity": 0.4733929701344221,
      "eval_macro_specificity": 0.98166320866911,
      "eval_precision": 0.7272429944970519,
      "eval_precision_macro": 0.4205947342353388,
      "eval_recall": 0.7567776917118513,
      "eval_recall_macro": 0.4733929701344221,
      "eval_runtime": 124.629,
      "eval_samples_per_second": 10.359,
      "eval_steps_per_second": 1.3,
      "eval_weighted_fpr": 0.022441395082904516,
      "eval_weighted_sensitivity": 0.7567776917118513,
      "eval_weighted_specificity": 0.9681704383248004,
      "step": 643
    },
    {
      "epoch": 1.56,
      "learning_rate": 4.481596682218767e-05,
      "loss": 0.7738,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7893106119287374,
      "eval_f1_macro": 0.561796090533545,
      "eval_f1_micro": 0.7893106119287374,
      "eval_f1_weighted": 0.7783408570207113,
      "eval_loss": 0.657169759273529,
      "eval_macro_fpr": 0.019577279999420293,
      "eval_macro_sensitivity": 0.5639220943833532,
      "eval_macro_specificity": 0.9841641947022086,
      "eval_precision": 0.7847538302510335,
      "eval_precision_macro": 0.652919812505265,
      "eval_recall": 0.7893106119287374,
      "eval_recall_macro": 0.5639220943833532,
      "eval_runtime": 120.3505,
      "eval_samples_per_second": 10.727,
      "eval_steps_per_second": 1.346,
      "eval_weighted_fpr": 0.018709588664190396,
      "eval_weighted_sensitivity": 0.7893106119287374,
      "eval_weighted_specificity": 0.9731523086043933,
      "step": 1286
    },
    {
      "epoch": 2.33,
      "learning_rate": 4.22239502332815e-05,
      "loss": 0.6874,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8009295120061968,
      "eval_f1_macro": 0.6248193338597906,
      "eval_f1_micro": 0.8009295120061968,
      "eval_f1_weighted": 0.7948048170690496,
      "eval_loss": 0.6484545469284058,
      "eval_macro_fpr": 0.01794652035398996,
      "eval_macro_sensitivity": 0.6498133528886191,
      "eval_macro_specificity": 0.985178423920643,
      "eval_precision": 0.7993513486718621,
      "eval_precision_macro": 0.622395994467453,
      "eval_recall": 0.8009295120061968,
      "eval_recall_macro": 0.6498133528886191,
      "eval_runtime": 122.1243,
      "eval_samples_per_second": 10.571,
      "eval_steps_per_second": 1.327,
      "eval_weighted_fpr": 0.017443833570895267,
      "eval_weighted_sensitivity": 0.8009295120061968,
      "eval_weighted_specificity": 0.9767468468034478,
      "step": 1929
    }
  ],
  "logging_steps": 500,
  "max_steps": 9645,
  "num_train_epochs": 15,
  "save_steps": 500,
  "total_flos": 1.7164271208462336e+16,
  "trial_name": null,
  "trial_params": null
}