File size: 3,222 Bytes
26d6070
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9096,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0918/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": 6.003003003003003e-05,
      "loss": 1.8019,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7986666666666666,
      "eval_loss": 0.7485187649726868,
      "eval_runtime": 7.3965,
      "eval_samples_per_second": 506.998,
      "eval_steps_per_second": 7.977,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": Infinity,
      "learning_rate": 5.006006006006005e-05,
      "loss": 0.5685,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8562666666666666,
      "eval_loss": 0.5064475536346436,
      "eval_runtime": 7.419,
      "eval_samples_per_second": 505.456,
      "eval_steps_per_second": 7.953,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 10.764054298400879,
      "learning_rate": 4.006006006006006e-05,
      "loss": 0.3299,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8744,
      "eval_loss": 0.4166736602783203,
      "eval_runtime": 7.9319,
      "eval_samples_per_second": 472.773,
      "eval_steps_per_second": 7.438,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.9496570825576782,
      "learning_rate": 3.0060060060060055e-05,
      "loss": 0.2114,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8888,
      "eval_loss": 0.3743988275527954,
      "eval_runtime": 7.5134,
      "eval_samples_per_second": 499.106,
      "eval_steps_per_second": 7.853,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 10.664057731628418,
      "learning_rate": 2.006006006006006e-05,
      "loss": 0.1283,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8965333333333333,
      "eval_loss": 0.34244856238365173,
      "eval_runtime": 7.4581,
      "eval_samples_per_second": 502.812,
      "eval_steps_per_second": 7.911,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.3661496937274933,
      "learning_rate": 1.006006006006006e-05,
      "loss": 0.0728,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9096,
      "eval_loss": 0.31808409094810486,
      "eval_runtime": 7.4739,
      "eval_samples_per_second": 501.749,
      "eval_steps_per_second": 7.894,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2331,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "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
}