File size: 3,276 Bytes
51599d1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9149333333333334,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0861/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": 9.341871565471464e-05,
      "loss": 0.9978,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8208,
      "eval_loss": 0.5643712282180786,
      "eval_runtime": 11.1905,
      "eval_samples_per_second": 335.106,
      "eval_steps_per_second": 5.272,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 17.563325881958008,
      "learning_rate": 7.520397778956622e-05,
      "loss": 0.3728,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8517333333333333,
      "eval_loss": 0.49902892112731934,
      "eval_runtime": 11.2725,
      "eval_samples_per_second": 332.667,
      "eval_steps_per_second": 5.234,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.0076538934372365475,
      "learning_rate": 5.023585442965162e-05,
      "loss": 0.1811,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8498666666666667,
      "eval_loss": 0.509972095489502,
      "eval_runtime": 11.0533,
      "eval_samples_per_second": 339.265,
      "eval_steps_per_second": 5.338,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.001286086393520236,
      "learning_rate": 2.5204534065780533e-05,
      "loss": 0.0819,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8973333333333333,
      "eval_loss": 0.3748425841331482,
      "eval_runtime": 11.0591,
      "eval_samples_per_second": 339.087,
      "eval_steps_per_second": 5.335,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 32.92337417602539,
      "learning_rate": 6.817138774936977e-06,
      "loss": 0.0208,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9122666666666667,
      "eval_loss": 0.3269955515861511,
      "eval_runtime": 11.0515,
      "eval_samples_per_second": 339.32,
      "eval_steps_per_second": 5.339,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.0018659798661246896,
      "learning_rate": 5.562762142974353e-10,
      "loss": 0.0055,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9149333333333334,
      "eval_loss": 0.308538556098938,
      "eval_runtime": 11.6054,
      "eval_samples_per_second": 323.126,
      "eval_steps_per_second": 5.084,
      "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
}