File size: 2,836 Bytes
a5b6674
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.888,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0618/checkpoints/checkpoint-1665",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 1665,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": Infinity,
      "learning_rate": 9.050623058764834e-05,
      "loss": 1.632,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7685333333333333,
      "eval_loss": 0.7944374084472656,
      "eval_runtime": 6.4154,
      "eval_samples_per_second": 584.527,
      "eval_steps_per_second": 9.197,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.6796702146530151,
      "learning_rate": 6.554054685128856e-05,
      "loss": 0.5568,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8221333333333334,
      "eval_loss": 0.5767645835876465,
      "eval_runtime": 6.0026,
      "eval_samples_per_second": 624.733,
      "eval_steps_per_second": 9.829,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 20.09752082824707,
      "learning_rate": 3.463890242149672e-05,
      "loss": 0.3167,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8736,
      "eval_loss": 0.41976428031921387,
      "eval_runtime": 5.8061,
      "eval_samples_per_second": 645.87,
      "eval_steps_per_second": 10.162,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 3.127415180206299,
      "learning_rate": 9.604675162189414e-06,
      "loss": 0.1671,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8834666666666666,
      "eval_loss": 0.37756431102752686,
      "eval_runtime": 6.6212,
      "eval_samples_per_second": 566.366,
      "eval_steps_per_second": 8.911,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.17992296814918518,
      "learning_rate": 8.900433292047261e-11,
      "loss": 0.0968,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.888,
      "eval_loss": 0.36621737480163574,
      "eval_runtime": 6.3914,
      "eval_samples_per_second": 586.726,
      "eval_steps_per_second": 9.231,
      "step": 1665
    }
  ],
  "logging_steps": 500,
  "max_steps": 1665,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 8.2370660311296e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}