File size: 3,199 Bytes
569ca83
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9453333333333334,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0591/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": 0.15556050837039948,
      "learning_rate": 7e-05,
      "loss": 0.6759,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9378666666666666,
      "eval_loss": 0.2135160267353058,
      "eval_runtime": 12.3755,
      "eval_samples_per_second": 303.019,
      "eval_steps_per_second": 4.768,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.0338166244328022,
      "learning_rate": 7e-05,
      "loss": 0.1108,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.944,
      "eval_loss": 0.19310547411441803,
      "eval_runtime": 12.3825,
      "eval_samples_per_second": 302.848,
      "eval_steps_per_second": 4.765,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.03897638991475105,
      "learning_rate": 7e-05,
      "loss": 0.0569,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9418666666666666,
      "eval_loss": 0.22262020409107208,
      "eval_runtime": 12.2294,
      "eval_samples_per_second": 306.638,
      "eval_steps_per_second": 4.824,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.01397448405623436,
      "learning_rate": 7e-05,
      "loss": 0.0331,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9349333333333333,
      "eval_loss": 0.26919689774513245,
      "eval_runtime": 13.0915,
      "eval_samples_per_second": 286.445,
      "eval_steps_per_second": 4.507,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.00924680009484291,
      "learning_rate": 7e-05,
      "loss": 0.027,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9418666666666666,
      "eval_loss": 0.24287287890911102,
      "eval_runtime": 12.4363,
      "eval_samples_per_second": 301.538,
      "eval_steps_per_second": 4.744,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.09236001968383789,
      "learning_rate": 7e-05,
      "loss": 0.0204,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9453333333333334,
      "eval_loss": 0.2388681024312973,
      "eval_runtime": 12.2222,
      "eval_samples_per_second": 306.817,
      "eval_steps_per_second": 4.827,
      "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
}