File size: 3,159 Bytes
e6ca478
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9072,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0829/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": 3e-05,
      "loss": 0.7993,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8869333333333334,
      "eval_loss": 0.3760010302066803,
      "eval_runtime": 11.6976,
      "eval_samples_per_second": 320.578,
      "eval_steps_per_second": 5.044,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 42.02511978149414,
      "learning_rate": 3e-05,
      "loss": 0.213,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8906666666666667,
      "eval_loss": 0.34725162386894226,
      "eval_runtime": 12.0872,
      "eval_samples_per_second": 310.245,
      "eval_steps_per_second": 4.881,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 21.646028518676758,
      "learning_rate": 3e-05,
      "loss": 0.1129,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8938666666666667,
      "eval_loss": 0.3629734516143799,
      "eval_runtime": 11.3603,
      "eval_samples_per_second": 330.098,
      "eval_steps_per_second": 5.194,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.20030005276203156,
      "learning_rate": 3e-05,
      "loss": 0.0692,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8970666666666667,
      "eval_loss": 0.38727694749832153,
      "eval_runtime": 11.4076,
      "eval_samples_per_second": 328.73,
      "eval_steps_per_second": 5.172,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.6344788074493408,
      "learning_rate": 3e-05,
      "loss": 0.058,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9013333333333333,
      "eval_loss": 0.4023571014404297,
      "eval_runtime": 12.0768,
      "eval_samples_per_second": 310.512,
      "eval_steps_per_second": 4.885,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 2.908998966217041,
      "learning_rate": 3e-05,
      "loss": 0.0444,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9072,
      "eval_loss": 0.3777245581150055,
      "eval_runtime": 11.5694,
      "eval_samples_per_second": 324.131,
      "eval_steps_per_second": 5.1,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2664,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "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
}