File size: 3,156 Bytes
d8405c0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.8608,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0072/checkpoints/checkpoint-1998",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1998,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 5.79313850402832,
      "learning_rate": 5e-05,
      "loss": 0.8769,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8026666666666666,
      "eval_loss": 0.626925528049469,
      "eval_runtime": 4.5386,
      "eval_samples_per_second": 826.253,
      "eval_steps_per_second": 13.0,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 53.82843780517578,
      "learning_rate": 5e-05,
      "loss": 0.2997,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8525333333333334,
      "eval_loss": 0.4868287742137909,
      "eval_runtime": 4.3879,
      "eval_samples_per_second": 854.627,
      "eval_steps_per_second": 13.446,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.015891961753368378,
      "learning_rate": 5e-05,
      "loss": 0.1635,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8453333333333334,
      "eval_loss": 0.5446628928184509,
      "eval_runtime": 4.4567,
      "eval_samples_per_second": 841.438,
      "eval_steps_per_second": 13.239,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 12.590849876403809,
      "learning_rate": 5e-05,
      "loss": 0.1114,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.844,
      "eval_loss": 0.5827698111534119,
      "eval_runtime": 4.5912,
      "eval_samples_per_second": 816.781,
      "eval_steps_per_second": 12.851,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.3846839964389801,
      "learning_rate": 5e-05,
      "loss": 0.0889,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8565333333333334,
      "eval_loss": 0.534341037273407,
      "eval_runtime": 4.6018,
      "eval_samples_per_second": 814.901,
      "eval_steps_per_second": 12.821,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.03652867674827576,
      "learning_rate": 5e-05,
      "loss": 0.0755,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8608,
      "eval_loss": 0.5932831764221191,
      "eval_runtime": 4.5432,
      "eval_samples_per_second": 825.415,
      "eval_steps_per_second": 12.987,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2997,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 9.88447923735552e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}