File size: 2,852 Bytes
60af700
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
121
122
123
124
125
{
  "best_metric": 0.9323394495412844,
  "best_model_checkpoint": "./fine-tune/bert-base-uncased/sst2/checkpoint-4210",
  "epoch": 3.0,
  "global_step": 6315,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.24,
      "learning_rate": 1.8416468725257326e-05,
      "loss": 0.2904,
      "step": 500
    },
    {
      "epoch": 0.48,
      "learning_rate": 1.6832937450514647e-05,
      "loss": 0.2097,
      "step": 1000
    },
    {
      "epoch": 0.71,
      "learning_rate": 1.5249406175771972e-05,
      "loss": 0.1752,
      "step": 1500
    },
    {
      "epoch": 0.95,
      "learning_rate": 1.3665874901029297e-05,
      "loss": 0.1668,
      "step": 2000
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9174311926605505,
      "eval_loss": 0.2512936294078827,
      "eval_runtime": 4.0394,
      "eval_samples_per_second": 215.874,
      "eval_steps_per_second": 26.984,
      "step": 2105
    },
    {
      "epoch": 1.19,
      "learning_rate": 1.208234362628662e-05,
      "loss": 0.1199,
      "step": 2500
    },
    {
      "epoch": 1.43,
      "learning_rate": 1.0498812351543943e-05,
      "loss": 0.1049,
      "step": 3000
    },
    {
      "epoch": 1.66,
      "learning_rate": 8.915281076801267e-06,
      "loss": 0.1075,
      "step": 3500
    },
    {
      "epoch": 1.9,
      "learning_rate": 7.331749802058591e-06,
      "loss": 0.1119,
      "step": 4000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9323394495412844,
      "eval_loss": 0.2478291541337967,
      "eval_runtime": 4.1684,
      "eval_samples_per_second": 209.192,
      "eval_steps_per_second": 26.149,
      "step": 4210
    },
    {
      "epoch": 2.14,
      "learning_rate": 5.748218527315916e-06,
      "loss": 0.0828,
      "step": 4500
    },
    {
      "epoch": 2.38,
      "learning_rate": 4.164687252573238e-06,
      "loss": 0.0667,
      "step": 5000
    },
    {
      "epoch": 2.61,
      "learning_rate": 2.581155977830562e-06,
      "loss": 0.069,
      "step": 5500
    },
    {
      "epoch": 2.85,
      "learning_rate": 9.976247030878861e-07,
      "loss": 0.0699,
      "step": 6000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.926605504587156,
      "eval_loss": 0.2763631343841553,
      "eval_runtime": 4.0199,
      "eval_samples_per_second": 216.923,
      "eval_steps_per_second": 27.115,
      "step": 6315
    },
    {
      "epoch": 3.0,
      "step": 6315,
      "total_flos": 1.329019985058048e+16,
      "train_loss": 0.1281920957829588,
      "train_runtime": 2481.1506,
      "train_samples_per_second": 81.433,
      "train_steps_per_second": 2.545
    }
  ],
  "max_steps": 6315,
  "num_train_epochs": 3,
  "total_flos": 1.329019985058048e+16,
  "trial_name": null,
  "trial_params": null
}