File size: 2,721 Bytes
9fb571d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.8233371272282494,
  "best_model_checkpoint": "/content/result/semeval-unsup-promcse-bert-base-uncased-semeval2015-restaurants",
  "epoch": 30.0,
  "global_step": 1260,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 2.98,
      "eval_avg_sts": 0.7757513995180081,
      "eval_sickr_spearman": 0.7322881283820439,
      "eval_stsb_spearman": 0.8192146706539722,
      "step": 125
    },
    {
      "epoch": 5.95,
      "eval_avg_sts": 0.7698413621949267,
      "eval_sickr_spearman": 0.7163455971616041,
      "eval_stsb_spearman": 0.8233371272282494,
      "step": 250
    },
    {
      "epoch": 8.93,
      "eval_avg_sts": 0.7731286838565641,
      "eval_sickr_spearman": 0.731383126368747,
      "eval_stsb_spearman": 0.814874241344381,
      "step": 375
    },
    {
      "epoch": 11.9,
      "learning_rate": 0.018095238095238095,
      "loss": 0.0008,
      "step": 500
    },
    {
      "epoch": 11.9,
      "eval_avg_sts": 0.776810425073202,
      "eval_sickr_spearman": 0.7312739516751782,
      "eval_stsb_spearman": 0.8223468984712257,
      "step": 500
    },
    {
      "epoch": 14.88,
      "eval_avg_sts": 0.7739310482649151,
      "eval_sickr_spearman": 0.7315272196730613,
      "eval_stsb_spearman": 0.8163348768567688,
      "step": 625
    },
    {
      "epoch": 17.86,
      "eval_avg_sts": 0.7730642466327569,
      "eval_sickr_spearman": 0.7297671679919632,
      "eval_stsb_spearman": 0.8163613252735507,
      "step": 750
    },
    {
      "epoch": 20.83,
      "eval_avg_sts": 0.7720903369997629,
      "eval_sickr_spearman": 0.7313365362003521,
      "eval_stsb_spearman": 0.8128441377991739,
      "step": 875
    },
    {
      "epoch": 23.81,
      "learning_rate": 0.00619047619047619,
      "loss": 0.0003,
      "step": 1000
    },
    {
      "epoch": 23.81,
      "eval_avg_sts": 0.7706636855212914,
      "eval_sickr_spearman": 0.7281604315866554,
      "eval_stsb_spearman": 0.8131669394559274,
      "step": 1000
    },
    {
      "epoch": 26.79,
      "eval_avg_sts": 0.7713602521546277,
      "eval_sickr_spearman": 0.7285470819532321,
      "eval_stsb_spearman": 0.8141734223560232,
      "step": 1125
    },
    {
      "epoch": 29.76,
      "eval_avg_sts": 0.7713639733054263,
      "eval_sickr_spearman": 0.727316333009982,
      "eval_stsb_spearman": 0.8154116136008706,
      "step": 1250
    },
    {
      "epoch": 30.0,
      "step": 1260,
      "train_runtime": 659.1275,
      "train_samples_per_second": 1.912
    }
  ],
  "max_steps": 1260,
  "num_train_epochs": 30,
  "total_flos": 1652728834722816,
  "trial_name": null,
  "trial_params": null
}