File size: 3,271 Bytes
759ad40
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9538666666666666,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0785/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": 0.6036820411682129,
      "learning_rate": 6.531088913245535e-05,
      "loss": 0.709,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9285333333333333,
      "eval_loss": 0.2565860450267792,
      "eval_runtime": 11.1379,
      "eval_samples_per_second": 336.688,
      "eval_steps_per_second": 5.297,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 4.44598913192749,
      "learning_rate": 5.2499999999999995e-05,
      "loss": 0.1206,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9330666666666667,
      "eval_loss": 0.24831093847751617,
      "eval_runtime": 11.0658,
      "eval_samples_per_second": 338.882,
      "eval_steps_per_second": 5.332,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.2523444592952728,
      "learning_rate": 3.5e-05,
      "loss": 0.0442,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9458666666666666,
      "eval_loss": 0.19923819601535797,
      "eval_runtime": 11.1652,
      "eval_samples_per_second": 335.866,
      "eval_steps_per_second": 5.284,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.07445219904184341,
      "learning_rate": 1.7500000000000005e-05,
      "loss": 0.0136,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9517333333333333,
      "eval_loss": 0.19464589655399323,
      "eval_runtime": 11.4935,
      "eval_samples_per_second": 326.27,
      "eval_steps_per_second": 5.133,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.19700585305690765,
      "learning_rate": 4.689110867544645e-06,
      "loss": 0.004,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9533333333333334,
      "eval_loss": 0.19080771505832672,
      "eval_runtime": 10.8849,
      "eval_samples_per_second": 344.513,
      "eval_steps_per_second": 5.42,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.03194549307227135,
      "learning_rate": 0.0,
      "loss": 0.0025,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9538666666666666,
      "eval_loss": 0.19179128110408783,
      "eval_runtime": 10.9497,
      "eval_samples_per_second": 342.477,
      "eval_steps_per_second": 5.388,
      "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
}