Hugging Face's logo

polejowska
/
swin-tiny-patch4-window7-224-eurosat

Image Classification
Transformers
PyTorch
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
1
swin-tiny-patch4-window7-224-eurosat
File size: 1,875 Bytes 
f306bcb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9166666666666666,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-66",
  "epoch": 1.9777777777777779,
  "global_step": 66,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3,
      "learning_rate": 4.745762711864407e-05,
      "loss": 2.1648,
      "step": 10
    },
    {
      "epoch": 0.59,
      "learning_rate": 3.898305084745763e-05,
      "loss": 1.1607,
      "step": 20
    },
    {
      "epoch": 0.89,
      "learning_rate": 3.050847457627119e-05,
      "loss": 0.4904,
      "step": 30
    },
    {
      "epoch": 0.98,
      "eval_accuracy": 0.8783068783068783,
      "eval_loss": 0.3856896162033081,
      "eval_runtime": 4.8675,
      "eval_samples_per_second": 155.315,
      "eval_steps_per_second": 4.931,
      "step": 33
    },
    {
      "epoch": 1.21,
      "learning_rate": 2.2033898305084748e-05,
      "loss": 0.3647,
      "step": 40
    },
    {
      "epoch": 1.5,
      "learning_rate": 1.3559322033898305e-05,
      "loss": 0.2628,
      "step": 50
    },
    {
      "epoch": 1.8,
      "learning_rate": 5.084745762711865e-06,
      "loss": 0.2188,
      "step": 60
    },
    {
      "epoch": 1.98,
      "eval_accuracy": 0.9166666666666666,
      "eval_loss": 0.25919345021247864,
      "eval_runtime": 4.9632,
      "eval_samples_per_second": 152.321,
      "eval_steps_per_second": 4.836,
      "step": 66
    },
    {
      "epoch": 1.98,
      "step": 66,
      "total_flos": 2.1241704283294925e+17,
      "train_loss": 0.7265663851391185,
      "train_runtime": 142.6799,
      "train_samples_per_second": 60.555,
      "train_steps_per_second": 0.463
    }
  ],
  "max_steps": 66,
  "num_train_epochs": 2,
  "total_flos": 2.1241704283294925e+17,
  "trial_name": null,
  "trial_params": null
}