File size: 2,144 Bytes
913a86d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.7363636363636363,
  "best_model_checkpoint": "/content/drive/MyDrive/Colab Notebooks/Classification/ViT/models/resnet-18-finetuned-eurosat/checkpoint-60",
  "epoch": 2.962962962962963,
  "global_step": 60,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.49,
      "learning_rate": 4.62962962962963e-05,
      "loss": 1.5049,
      "step": 10
    },
    {
      "epoch": 0.99,
      "learning_rate": 3.7037037037037037e-05,
      "loss": 1.0134,
      "step": 20
    },
    {
      "epoch": 0.99,
      "eval_accuracy": 0.7181818181818181,
      "eval_loss": 0.8097589612007141,
      "eval_runtime": 47.6432,
      "eval_samples_per_second": 6.926,
      "eval_steps_per_second": 0.231,
      "step": 20
    },
    {
      "epoch": 1.48,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.7626,
      "step": 30
    },
    {
      "epoch": 1.98,
      "learning_rate": 1.8518518518518518e-05,
      "loss": 0.7499,
      "step": 40
    },
    {
      "epoch": 1.98,
      "eval_accuracy": 0.7303030303030303,
      "eval_loss": 0.7300636768341064,
      "eval_runtime": 45.6041,
      "eval_samples_per_second": 7.236,
      "eval_steps_per_second": 0.241,
      "step": 40
    },
    {
      "epoch": 2.47,
      "learning_rate": 9.259259259259259e-06,
      "loss": 0.648,
      "step": 50
    },
    {
      "epoch": 2.96,
      "learning_rate": 0.0,
      "loss": 0.713,
      "step": 60
    },
    {
      "epoch": 2.96,
      "eval_accuracy": 0.7363636363636363,
      "eval_loss": 0.6868019104003906,
      "eval_runtime": 45.9734,
      "eval_samples_per_second": 7.178,
      "eval_steps_per_second": 0.239,
      "step": 60
    },
    {
      "epoch": 2.96,
      "step": 60,
      "total_flos": 7.69561679426642e+16,
      "train_loss": 0.898623005549113,
      "train_runtime": 1199.6133,
      "train_samples_per_second": 6.41,
      "train_steps_per_second": 0.05
    }
  ],
  "max_steps": 60,
  "num_train_epochs": 3,
  "total_flos": 7.69561679426642e+16,
  "trial_name": null,
  "trial_params": null
}