File size: 3,197 Bytes
e379c3c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9349333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0854/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": 0.19112493097782135,
      "learning_rate": 9e-05,
      "loss": 0.6037,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9197333333333333,
      "eval_loss": 0.2572155296802521,
      "eval_runtime": 10.3993,
      "eval_samples_per_second": 360.602,
      "eval_steps_per_second": 5.673,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.8509186506271362,
      "learning_rate": 9e-05,
      "loss": 0.127,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9298666666666666,
      "eval_loss": 0.2435331642627716,
      "eval_runtime": 10.3599,
      "eval_samples_per_second": 361.972,
      "eval_steps_per_second": 5.695,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.15189635753631592,
      "learning_rate": 9e-05,
      "loss": 0.0682,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9269333333333334,
      "eval_loss": 0.26860156655311584,
      "eval_runtime": 10.4013,
      "eval_samples_per_second": 360.532,
      "eval_steps_per_second": 5.672,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.04324791207909584,
      "learning_rate": 9e-05,
      "loss": 0.0435,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.932,
      "eval_loss": 0.2661697566509247,
      "eval_runtime": 10.1778,
      "eval_samples_per_second": 368.449,
      "eval_steps_per_second": 5.797,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.014951224438846111,
      "learning_rate": 9e-05,
      "loss": 0.0279,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9333333333333333,
      "eval_loss": 0.27155375480651855,
      "eval_runtime": 10.3151,
      "eval_samples_per_second": 363.546,
      "eval_steps_per_second": 5.72,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.007958606816828251,
      "learning_rate": 9e-05,
      "loss": 0.0204,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9349333333333333,
      "eval_loss": 0.2972542345523834,
      "eval_runtime": 10.3356,
      "eval_samples_per_second": 362.824,
      "eval_steps_per_second": 5.708,
      "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
}