File size: 3,171 Bytes
e313942
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8938666666666667,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0683/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": 7.16422176361084,
      "learning_rate": 5e-05,
      "loss": 0.7441,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.88,
      "eval_loss": 0.37753036618232727,
      "eval_runtime": 10.322,
      "eval_samples_per_second": 363.302,
      "eval_steps_per_second": 5.716,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 2.990835189819336,
      "learning_rate": 5e-05,
      "loss": 0.1879,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8736,
      "eval_loss": 0.43866026401519775,
      "eval_runtime": 10.6422,
      "eval_samples_per_second": 352.37,
      "eval_steps_per_second": 5.544,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.5260799527168274,
      "learning_rate": 5e-05,
      "loss": 0.1091,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8882666666666666,
      "eval_loss": 0.4079267680644989,
      "eval_runtime": 10.4093,
      "eval_samples_per_second": 360.254,
      "eval_steps_per_second": 5.668,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.2471596002578735,
      "learning_rate": 5e-05,
      "loss": 0.076,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8890666666666667,
      "eval_loss": 0.40939465165138245,
      "eval_runtime": 10.2466,
      "eval_samples_per_second": 365.976,
      "eval_steps_per_second": 5.758,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.005934775806963444,
      "learning_rate": 5e-05,
      "loss": 0.0616,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8810666666666667,
      "eval_loss": 0.48430871963500977,
      "eval_runtime": 10.2621,
      "eval_samples_per_second": 365.424,
      "eval_steps_per_second": 5.749,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.5435875058174133,
      "learning_rate": 5e-05,
      "loss": 0.0528,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8938666666666667,
      "eval_loss": 0.4448767602443695,
      "eval_runtime": 10.3973,
      "eval_samples_per_second": 360.672,
      "eval_steps_per_second": 5.675,
      "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
}