File size: 2,768 Bytes
9f58e99
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9464,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0076/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": 0.1138138473033905,
      "learning_rate": 8e-05,
      "loss": 0.5811,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9296,
      "eval_loss": 0.23647132515907288,
      "eval_runtime": 14.2978,
      "eval_samples_per_second": 262.277,
      "eval_steps_per_second": 4.126,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.32394886016845703,
      "learning_rate": 6e-05,
      "loss": 0.1122,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9285333333333333,
      "eval_loss": 0.2512739598751068,
      "eval_runtime": 12.954,
      "eval_samples_per_second": 289.487,
      "eval_steps_per_second": 4.555,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.13499048352241516,
      "learning_rate": 4e-05,
      "loss": 0.0433,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9301333333333334,
      "eval_loss": 0.2354629784822464,
      "eval_runtime": 11.1841,
      "eval_samples_per_second": 335.298,
      "eval_steps_per_second": 5.275,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.03507329896092415,
      "learning_rate": 2e-05,
      "loss": 0.0126,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9456,
      "eval_loss": 0.20236806571483612,
      "eval_runtime": 10.7669,
      "eval_samples_per_second": 348.291,
      "eval_steps_per_second": 5.48,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.07789720594882965,
      "learning_rate": 0.0,
      "loss": 0.0036,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9464,
      "eval_loss": 0.2056872546672821,
      "eval_runtime": 11.4435,
      "eval_samples_per_second": 327.696,
      "eval_steps_per_second": 5.156,
      "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
}