Hugging Face's logo

navradio
/
swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification
Transformers
PyTorch
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
swin-tiny-patch4-window7-224-finetuned-eurosat
File size: 2,610 Bytes 
6ec339b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.7841318907779495,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-102",
  "epoch": 2.978102189781022,
  "global_step": 102,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.29,
      "learning_rate": 4.545454545454546e-05,
      "loss": 0.7078,
      "step": 10
    },
    {
      "epoch": 0.58,
      "learning_rate": 4.505494505494506e-05,
      "loss": 0.6219,
      "step": 20
    },
    {
      "epoch": 0.88,
      "learning_rate": 3.956043956043956e-05,
      "loss": 0.585,
      "step": 30
    },
    {
      "epoch": 0.99,
      "eval_accuracy": 0.755280783101494,
      "eval_loss": 0.5134751796722412,
      "eval_runtime": 21.819,
      "eval_samples_per_second": 88.959,
      "eval_steps_per_second": 0.733,
      "step": 34
    },
    {
      "epoch": 1.17,
      "learning_rate": 3.406593406593407e-05,
      "loss": 0.5548,
      "step": 40
    },
    {
      "epoch": 1.46,
      "learning_rate": 2.857142857142857e-05,
      "loss": 0.5385,
      "step": 50
    },
    {
      "epoch": 1.75,
      "learning_rate": 2.307692307692308e-05,
      "loss": 0.529,
      "step": 60
    },
    {
      "epoch": 1.99,
      "eval_accuracy": 0.7686759402369913,
      "eval_loss": 0.4735647737979889,
      "eval_runtime": 18.5552,
      "eval_samples_per_second": 104.607,
      "eval_steps_per_second": 0.862,
      "step": 68
    },
    {
      "epoch": 2.04,
      "learning_rate": 1.7582417582417584e-05,
      "loss": 0.5157,
      "step": 70
    },
    {
      "epoch": 2.34,
      "learning_rate": 1.2087912087912089e-05,
      "loss": 0.5039,
      "step": 80
    },
    {
      "epoch": 2.63,
      "learning_rate": 6.5934065934065935e-06,
      "loss": 0.4947,
      "step": 90
    },
    {
      "epoch": 2.92,
      "learning_rate": 1.098901098901099e-06,
      "loss": 0.4975,
      "step": 100
    },
    {
      "epoch": 2.98,
      "eval_accuracy": 0.7841318907779495,
      "eval_loss": 0.45493096113204956,
      "eval_runtime": 18.245,
      "eval_samples_per_second": 106.386,
      "eval_steps_per_second": 0.877,
      "step": 102
    },
    {
      "epoch": 2.98,
      "step": 102,
      "total_flos": 1.2944501944054088e+18,
      "train_loss": 0.5539750234753478,
      "train_runtime": 694.3806,
      "train_samples_per_second": 75.447,
      "train_steps_per_second": 0.147
    }
  ],
  "max_steps": 102,
  "num_train_epochs": 3,
  "total_flos": 1.2944501944054088e+18,
  "trial_name": null,
  "trial_params": null
}