File size: 3,210 Bytes
f8107d5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9248,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0999/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": Infinity,
      "learning_rate": 4.668983719169004e-05,
      "loss": 0.91,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8328,
      "eval_loss": 0.5609930753707886,
      "eval_runtime": 11.4976,
      "eval_samples_per_second": 326.155,
      "eval_steps_per_second": 5.132,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 86.09117889404297,
      "learning_rate": 3.7568023640968045e-05,
      "loss": 0.2463,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8845333333333333,
      "eval_loss": 0.38812094926834106,
      "eval_runtime": 11.9034,
      "eval_samples_per_second": 315.036,
      "eval_steps_per_second": 4.957,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 76.7802734375,
      "learning_rate": 2.5078618305193415e-05,
      "loss": 0.1005,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8968,
      "eval_loss": 0.36250805854797363,
      "eval_runtime": 11.3745,
      "eval_samples_per_second": 329.684,
      "eval_steps_per_second": 5.187,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 3.2082390785217285,
      "learning_rate": 1.2568147258031899e-05,
      "loss": 0.0333,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9088,
      "eval_loss": 0.34421661496162415,
      "eval_runtime": 11.0284,
      "eval_samples_per_second": 340.032,
      "eval_steps_per_second": 5.35,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 14.474343299865723,
      "learning_rate": 3.388781113503378e-06,
      "loss": 0.0082,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9232,
      "eval_loss": 0.31315624713897705,
      "eval_runtime": 12.514,
      "eval_samples_per_second": 299.664,
      "eval_steps_per_second": 4.715,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.022726556286215782,
      "learning_rate": 1.2361706385188855e-10,
      "loss": 0.0035,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9248,
      "eval_loss": 0.29845529794692993,
      "eval_runtime": 11.404,
      "eval_samples_per_second": 328.832,
      "eval_steps_per_second": 5.174,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 1998,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "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": 9.88447923735552e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}