File size: 2,788 Bytes
dcd918e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8762666666666666,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/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": Infinity,
      "learning_rate": 5e-05,
      "loss": 0.778,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8546666666666667,
      "eval_loss": 0.4549023509025574,
      "eval_runtime": 6.648,
      "eval_samples_per_second": 564.076,
      "eval_steps_per_second": 8.875,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.6933355331420898,
      "learning_rate": 5e-05,
      "loss": 0.2761,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8645333333333334,
      "eval_loss": 0.4213903844356537,
      "eval_runtime": 6.0468,
      "eval_samples_per_second": 620.166,
      "eval_steps_per_second": 9.757,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 23.67226219177246,
      "learning_rate": 5e-05,
      "loss": 0.1616,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8757333333333334,
      "eval_loss": 0.42269161343574524,
      "eval_runtime": 6.3909,
      "eval_samples_per_second": 586.775,
      "eval_steps_per_second": 9.232,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.000788783363532275,
      "learning_rate": 5e-05,
      "loss": 0.123,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8605333333333334,
      "eval_loss": 0.500343918800354,
      "eval_runtime": 6.23,
      "eval_samples_per_second": 601.927,
      "eval_steps_per_second": 9.47,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.3419888913631439,
      "learning_rate": 5e-05,
      "loss": 0.0971,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8762666666666666,
      "eval_loss": 0.4629918336868286,
      "eval_runtime": 5.9869,
      "eval_samples_per_second": 626.363,
      "eval_steps_per_second": 9.855,
      "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
}