File size: 3,244 Bytes
1011370
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8925333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0148/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": 1.1198712587356567,
      "learning_rate": 9.330127018922194e-05,
      "loss": 1.5775,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7690666666666667,
      "eval_loss": 0.8249344825744629,
      "eval_runtime": 6.5905,
      "eval_samples_per_second": 569.001,
      "eval_steps_per_second": 8.952,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 7.38227653503418,
      "learning_rate": 7.506805462938029e-05,
      "loss": 0.5412,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8250666666666666,
      "eval_loss": 0.5949288606643677,
      "eval_runtime": 6.4454,
      "eval_samples_per_second": 581.812,
      "eval_steps_per_second": 9.154,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": Infinity,
      "learning_rate": 5.015723661038683e-05,
      "loss": 0.2791,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8584,
      "eval_loss": 0.4914984107017517,
      "eval_runtime": 6.572,
      "eval_samples_per_second": 570.603,
      "eval_steps_per_second": 8.977,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.22015281021595,
      "learning_rate": 2.5136294516063797e-05,
      "loss": 0.1327,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8728,
      "eval_loss": 0.4690151810646057,
      "eval_runtime": 6.4775,
      "eval_samples_per_second": 578.924,
      "eval_steps_per_second": 9.108,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.9994580745697021,
      "learning_rate": 6.777562227006756e-06,
      "loss": 0.0535,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8858666666666667,
      "eval_loss": 0.4016983211040497,
      "eval_runtime": 7.973,
      "eval_samples_per_second": 470.335,
      "eval_steps_per_second": 7.4,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 3.228766441345215,
      "learning_rate": 2.472341277037771e-10,
      "loss": 0.0245,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8925333333333333,
      "eval_loss": 0.38390251994132996,
      "eval_runtime": 6.7446,
      "eval_samples_per_second": 556.0,
      "eval_steps_per_second": 8.748,
      "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
}