Hugging Face's logo

vintage-lavender619
/
swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
swin-tiny-patch4-window7-224-finetuned-eurosat
File size: 2,895 Bytes 
14f2d90
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.8890356671070013,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-69",
  "epoch": 2.905263157894737,
  "eval_steps": 500,
  "global_step": 69,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.42105263157894735,
      "grad_norm": 23.68440055847168,
      "learning_rate": 4.7580645161290326e-05,
      "loss": 6.463,
      "step": 10
    },
    {
      "epoch": 0.8421052631578947,
      "grad_norm": 18.249401092529297,
      "learning_rate": 3.951612903225806e-05,
      "loss": 1.6948,
      "step": 20
    },
    {
      "epoch": 0.968421052631579,
      "eval_accuracy": 0.7807133421400264,
      "eval_loss": 0.6058264374732971,
      "eval_runtime": 6.9142,
      "eval_samples_per_second": 109.485,
      "eval_steps_per_second": 3.471,
      "step": 23
    },
    {
      "epoch": 1.263157894736842,
      "grad_norm": 12.623285293579102,
      "learning_rate": 3.1451612903225806e-05,
      "loss": 0.6435,
      "step": 30
    },
    {
      "epoch": 1.6842105263157894,
      "grad_norm": 10.293028831481934,
      "learning_rate": 2.338709677419355e-05,
      "loss": 0.4966,
      "step": 40
    },
    {
      "epoch": 1.9789473684210526,
      "eval_accuracy": 0.8745046235138706,
      "eval_loss": 0.39979538321495056,
      "eval_runtime": 7.4148,
      "eval_samples_per_second": 102.094,
      "eval_steps_per_second": 3.237,
      "step": 47
    },
    {
      "epoch": 2.1052631578947367,
      "grad_norm": 10.315666198730469,
      "learning_rate": 1.5322580645161292e-05,
      "loss": 0.4365,
      "step": 50
    },
    {
      "epoch": 2.526315789473684,
      "grad_norm": 11.455368995666504,
      "learning_rate": 7.258064516129033e-06,
      "loss": 0.3494,
      "step": 60
    },
    {
      "epoch": 2.905263157894737,
      "eval_accuracy": 0.8890356671070013,
      "eval_loss": 0.34262678027153015,
      "eval_runtime": 7.0049,
      "eval_samples_per_second": 108.067,
      "eval_steps_per_second": 3.426,
      "step": 69
    },
    {
      "epoch": 2.905263157894737,
      "step": 69,
      "total_flos": 2.2503679081699738e+17,
      "train_loss": 1.5094636074010876,
      "train_runtime": 188.3228,
      "train_samples_per_second": 48.236,
      "train_steps_per_second": 0.366
    }
  ],
  "logging_steps": 10,
  "max_steps": 69,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "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": 2.2503679081699738e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}