Hugging Face's logo

pittawat
/
vit-base-uppercase-english-characters

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
vit-base-uppercase-english-characters
File size: 2,450 Bytes 
d26d6ca
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.38402849435806274,
  "best_model_checkpoint": "./vit-base-uppercase-english-characters/checkpoint-100",
  "epoch": 4.0,
  "global_step": 132,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3,
      "learning_rate": 0.00018484848484848484,
      "loss": 3.0027,
      "step": 10
    },
    {
      "epoch": 0.61,
      "learning_rate": 0.00016969696969696972,
      "loss": 2.2789,
      "step": 20
    },
    {
      "epoch": 0.91,
      "learning_rate": 0.00015454545454545454,
      "loss": 1.6762,
      "step": 30
    },
    {
      "epoch": 1.21,
      "learning_rate": 0.0001393939393939394,
      "loss": 1.2222,
      "step": 40
    },
    {
      "epoch": 1.52,
      "learning_rate": 0.00012424242424242425,
      "loss": 0.9241,
      "step": 50
    },
    {
      "epoch": 1.82,
      "learning_rate": 0.00010909090909090909,
      "loss": 0.7407,
      "step": 60
    },
    {
      "epoch": 2.12,
      "learning_rate": 9.393939393939395e-05,
      "loss": 0.5808,
      "step": 70
    },
    {
      "epoch": 2.42,
      "learning_rate": 7.878787878787879e-05,
      "loss": 0.4945,
      "step": 80
    },
    {
      "epoch": 2.73,
      "learning_rate": 6.363636363636364e-05,
      "loss": 0.4364,
      "step": 90
    },
    {
      "epoch": 3.03,
      "learning_rate": 4.848484848484849e-05,
      "loss": 0.3936,
      "step": 100
    },
    {
      "epoch": 3.03,
      "eval_accuracy": 1.0,
      "eval_loss": 0.38402849435806274,
      "eval_runtime": 1.6842,
      "eval_samples_per_second": 123.504,
      "eval_steps_per_second": 7.719,
      "step": 100
    },
    {
      "epoch": 3.33,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.3722,
      "step": 110
    },
    {
      "epoch": 3.64,
      "learning_rate": 1.8181818181818182e-05,
      "loss": 0.3534,
      "step": 120
    },
    {
      "epoch": 3.94,
      "learning_rate": 3.0303030303030305e-06,
      "loss": 0.3421,
      "step": 130
    },
    {
      "epoch": 4.0,
      "step": 132,
      "total_flos": 3.22436019290112e+17,
      "train_loss": 0.9762612545129025,
      "train_runtime": 74.7912,
      "train_samples_per_second": 55.622,
      "train_steps_per_second": 1.765
    }
  ],
  "max_steps": 132,
  "num_train_epochs": 4,
  "total_flos": 3.22436019290112e+17,
  "trial_name": null,
  "trial_params": null
}