File size: 3,119 Bytes
ec7c3d3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8784,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0922/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": 2.095,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7536,
      "eval_loss": 1.0116221904754639,
      "eval_runtime": 4.5645,
      "eval_samples_per_second": 821.562,
      "eval_steps_per_second": 12.926,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": Infinity,
      "learning_rate": 3e-05,
      "loss": 0.6997,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8362666666666667,
      "eval_loss": 0.5748066902160645,
      "eval_runtime": 4.7902,
      "eval_samples_per_second": 782.854,
      "eval_steps_per_second": 12.317,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.7092156410217285,
      "learning_rate": 3e-05,
      "loss": 0.4127,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8474666666666667,
      "eval_loss": 0.4934784770011902,
      "eval_runtime": 4.0989,
      "eval_samples_per_second": 914.89,
      "eval_steps_per_second": 14.394,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 35.69458770751953,
      "learning_rate": 3e-05,
      "loss": 0.2736,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8664,
      "eval_loss": 0.44526413083076477,
      "eval_runtime": 4.0441,
      "eval_samples_per_second": 927.266,
      "eval_steps_per_second": 14.589,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": Infinity,
      "learning_rate": 3e-05,
      "loss": 0.1922,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8685333333333334,
      "eval_loss": 0.43229764699935913,
      "eval_runtime": 4.0905,
      "eval_samples_per_second": 916.754,
      "eval_steps_per_second": 14.424,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 4.0040388107299805,
      "learning_rate": 3e-05,
      "loss": 0.1341,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8784,
      "eval_loss": 0.4181690216064453,
      "eval_runtime": 4.0336,
      "eval_samples_per_second": 929.681,
      "eval_steps_per_second": 14.627,
      "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
}