File size: 3,187 Bytes
197a8f3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8965333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0170/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": 1.9555903673171997,
      "learning_rate": 5e-05,
      "loss": 1.6878,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8213333333333334,
      "eval_loss": 0.7030234336853027,
      "eval_runtime": 11.9596,
      "eval_samples_per_second": 313.556,
      "eval_steps_per_second": 4.933,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 12.445852279663086,
      "learning_rate": 5e-05,
      "loss": 0.4934,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8533333333333334,
      "eval_loss": 0.49574920535087585,
      "eval_runtime": 11.3627,
      "eval_samples_per_second": 330.027,
      "eval_steps_per_second": 5.192,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 7.468923091888428,
      "learning_rate": 5e-05,
      "loss": 0.2881,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8829333333333333,
      "eval_loss": 0.4118095636367798,
      "eval_runtime": 10.6414,
      "eval_samples_per_second": 352.397,
      "eval_steps_per_second": 5.544,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 11.58633804321289,
      "learning_rate": 5e-05,
      "loss": 0.1937,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8872,
      "eval_loss": 0.40273594856262207,
      "eval_runtime": 10.3489,
      "eval_samples_per_second": 362.358,
      "eval_steps_per_second": 5.701,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 10.278923988342285,
      "learning_rate": 5e-05,
      "loss": 0.1268,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8890666666666667,
      "eval_loss": 0.4058311879634857,
      "eval_runtime": 10.7446,
      "eval_samples_per_second": 349.012,
      "eval_steps_per_second": 5.491,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.40097880363464355,
      "learning_rate": 5e-05,
      "loss": 0.0965,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8965333333333333,
      "eval_loss": 0.3907693326473236,
      "eval_runtime": 10.9817,
      "eval_samples_per_second": 341.477,
      "eval_steps_per_second": 5.373,
      "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
}