File size: 3,282 Bytes
ea97544
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9354666666666667,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0964/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": 28.724163055419922,
      "learning_rate": 2.8002157758785897e-05,
      "loss": 0.7539,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8866666666666667,
      "eval_loss": 0.3536032736301422,
      "eval_runtime": 7.1568,
      "eval_samples_per_second": 523.974,
      "eval_steps_per_second": 8.244,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.540662407875061,
      "learning_rate": 2.2520416388814085e-05,
      "loss": 0.1838,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9101333333333333,
      "eval_loss": 0.2967321276664734,
      "eval_runtime": 6.8922,
      "eval_samples_per_second": 544.092,
      "eval_steps_per_second": 8.56,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.6368748545646667,
      "learning_rate": 1.5023585520713769e-05,
      "loss": 0.0823,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.924,
      "eval_loss": 0.24556097388267517,
      "eval_runtime": 6.6565,
      "eval_samples_per_second": 563.358,
      "eval_steps_per_second": 8.864,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.07834707945585251,
      "learning_rate": 7.520434931385125e-06,
      "loss": 0.0319,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9325333333333333,
      "eval_loss": 0.2353752702474594,
      "eval_runtime": 6.7292,
      "eval_samples_per_second": 557.276,
      "eval_steps_per_second": 8.768,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 2.9592020511627197,
      "learning_rate": 2.0214277619278764e-06,
      "loss": 0.0126,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9338666666666666,
      "eval_loss": 0.23717738687992096,
      "eval_runtime": 6.741,
      "eval_samples_per_second": 556.301,
      "eval_steps_per_second": 8.752,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.0016534790629521012,
      "learning_rate": 1.8542571038615563e-11,
      "loss": 0.0049,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9354666666666667,
      "eval_loss": 0.21770143508911133,
      "eval_runtime": 6.6842,
      "eval_samples_per_second": 561.025,
      "eval_steps_per_second": 8.827,
      "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
}