File size: 3,150 Bytes
249f8eb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
126
127
128
129
130
131
{
  "best_metric": 0.662101149559021,
  "best_model_checkpoint": "distilbert_add_GLUE_Experiment_qnli_384/checkpoint-820",
  "epoch": 7.0,
  "global_step": 2870,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 4.9e-05,
      "loss": 0.6894,
      "step": 410
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5932637744828848,
      "eval_loss": 0.6660351753234863,
      "eval_runtime": 3.2658,
      "eval_samples_per_second": 1672.787,
      "eval_steps_per_second": 6.736,
      "step": 410
    },
    {
      "epoch": 2.0,
      "learning_rate": 4.8e-05,
      "loss": 0.6593,
      "step": 820
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.600219659527732,
      "eval_loss": 0.662101149559021,
      "eval_runtime": 3.2317,
      "eval_samples_per_second": 1690.46,
      "eval_steps_per_second": 6.808,
      "step": 820
    },
    {
      "epoch": 3.0,
      "learning_rate": 4.7e-05,
      "loss": 0.6441,
      "step": 1230
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6004027091341754,
      "eval_loss": 0.6633503437042236,
      "eval_runtime": 3.2521,
      "eval_samples_per_second": 1679.844,
      "eval_steps_per_second": 6.765,
      "step": 1230
    },
    {
      "epoch": 4.0,
      "learning_rate": 4.600000000000001e-05,
      "loss": 0.6338,
      "step": 1640
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5941790225151016,
      "eval_loss": 0.6694063544273376,
      "eval_runtime": 3.2458,
      "eval_samples_per_second": 1683.098,
      "eval_steps_per_second": 6.778,
      "step": 1640
    },
    {
      "epoch": 5.0,
      "learning_rate": 4.5e-05,
      "loss": 0.6238,
      "step": 2050
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5919824272377814,
      "eval_loss": 0.6732103228569031,
      "eval_runtime": 3.3256,
      "eval_samples_per_second": 1642.691,
      "eval_steps_per_second": 6.615,
      "step": 2050
    },
    {
      "epoch": 6.0,
      "learning_rate": 4.4000000000000006e-05,
      "loss": 0.6125,
      "step": 2460
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5969247666117518,
      "eval_loss": 0.6865329742431641,
      "eval_runtime": 3.2519,
      "eval_samples_per_second": 1679.947,
      "eval_steps_per_second": 6.765,
      "step": 2460
    },
    {
      "epoch": 7.0,
      "learning_rate": 4.3e-05,
      "loss": 0.6026,
      "step": 2870
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.5799011532125206,
      "eval_loss": 0.7079607248306274,
      "eval_runtime": 3.2508,
      "eval_samples_per_second": 1680.489,
      "eval_steps_per_second": 6.767,
      "step": 2870
    },
    {
      "epoch": 7.0,
      "step": 2870,
      "total_flos": 1.917231202880717e+16,
      "train_loss": 0.6379064101375354,
      "train_runtime": 940.7499,
      "train_samples_per_second": 5566.995,
      "train_steps_per_second": 21.791
    }
  ],
  "max_steps": 20500,
  "num_train_epochs": 50,
  "total_flos": 1.917231202880717e+16,
  "trial_name": null,
  "trial_params": null
}