File size: 2,863 Bytes
105e557
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.45253333333333334,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0021/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": 0.0002720145214591477,
      "loss": 3.2552,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.23146666666666665,
      "eval_loss": 2.9357705116271973,
      "eval_runtime": 10.7473,
      "eval_samples_per_second": 348.926,
      "eval_steps_per_second": 5.49,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 24.089719772338867,
      "learning_rate": 0.00019742791503092223,
      "loss": 2.6187,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.2984,
      "eval_loss": 2.6154327392578125,
      "eval_runtime": 10.5128,
      "eval_samples_per_second": 356.706,
      "eval_steps_per_second": 5.612,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 40.569705963134766,
      "learning_rate": 0.00010472545707642648,
      "loss": 2.2778,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.3725333333333333,
      "eval_loss": 2.268704652786255,
      "eval_runtime": 10.571,
      "eval_samples_per_second": 354.744,
      "eval_steps_per_second": 5.581,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 27.441381454467773,
      "learning_rate": 2.931633569361981e-05,
      "loss": 1.9223,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.43946666666666667,
      "eval_loss": 2.03391695022583,
      "eval_runtime": 10.8694,
      "eval_samples_per_second": 345.006,
      "eval_steps_per_second": 5.428,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 41.1422004699707,
      "learning_rate": 4.272188967840984e-09,
      "loss": 1.6105,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.45253333333333334,
      "eval_loss": 1.991829514503479,
      "eval_runtime": 10.6355,
      "eval_samples_per_second": 352.592,
      "eval_steps_per_second": 5.547,
      "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
}