File size: 2,845 Bytes
f132e9d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.9562666666666667,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0125/checkpoints/checkpoint-1665",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 1665,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 8.328691482543945,
      "learning_rate": 2.8858192987669303e-05,
      "loss": 1.1407,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9464,
      "eval_loss": 0.24085253477096558,
      "eval_runtime": 6.2397,
      "eval_samples_per_second": 600.989,
      "eval_steps_per_second": 9.456,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.8486161231994629,
      "learning_rate": 2.5606601717798212e-05,
      "loss": 0.1314,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9554666666666667,
      "eval_loss": 0.17217782139778137,
      "eval_runtime": 8.6169,
      "eval_samples_per_second": 435.193,
      "eval_steps_per_second": 6.847,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.09223607182502747,
      "learning_rate": 2.074025148547635e-05,
      "loss": 0.0409,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.956,
      "eval_loss": 0.16144494712352753,
      "eval_runtime": 6.8101,
      "eval_samples_per_second": 550.651,
      "eval_steps_per_second": 8.664,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.05190025269985199,
      "learning_rate": 1.5e-05,
      "loss": 0.0129,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9536,
      "eval_loss": 0.1685076504945755,
      "eval_runtime": 6.2697,
      "eval_samples_per_second": 598.117,
      "eval_steps_per_second": 9.41,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.09838440269231796,
      "learning_rate": 9.259748514523654e-06,
      "loss": 0.0054,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9562666666666667,
      "eval_loss": 0.1709422916173935,
      "eval_runtime": 6.2167,
      "eval_samples_per_second": 603.216,
      "eval_steps_per_second": 9.491,
      "step": 1665
    }
  ],
  "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": 8.2370660311296e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}