Hugging Face's logo

Prot10
/
swin-tiny-patch4-window7-224-for-pre_evaluation

Image Classification
Transformers
PyTorch
swin
Generated from Trainer
Inference Endpoints
Model card Files Community
swin-tiny-patch4-window7-224-for-pre_evaluation
File size: 1,815 Bytes 
117b00a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.32867132867132864,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-for-pre_evaluation/checkpoint-30",
  "epoch": 2.7906976744186047,
  "eval_steps": 500,
  "global_step": 30,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.93,
      "learning_rate": 3.7037037037037037e-05,
      "loss": 1.579,
      "step": 10
    },
    {
      "epoch": 0.93,
      "eval_accuracy": 0.317016317016317,
      "eval_loss": 1.5190386772155762,
      "eval_runtime": 7.6323,
      "eval_samples_per_second": 56.209,
      "eval_steps_per_second": 1.834,
      "step": 10
    },
    {
      "epoch": 1.86,
      "learning_rate": 1.8518518518518518e-05,
      "loss": 1.4951,
      "step": 20
    },
    {
      "epoch": 1.95,
      "eval_accuracy": 0.3123543123543124,
      "eval_loss": 1.5104066133499146,
      "eval_runtime": 5.1688,
      "eval_samples_per_second": 82.998,
      "eval_steps_per_second": 2.709,
      "step": 21
    },
    {
      "epoch": 2.79,
      "learning_rate": 0.0,
      "loss": 1.4951,
      "step": 30
    },
    {
      "epoch": 2.79,
      "eval_accuracy": 0.32867132867132864,
      "eval_loss": 1.506245732307434,
      "eval_runtime": 5.1162,
      "eval_samples_per_second": 83.852,
      "eval_steps_per_second": 2.736,
      "step": 30
    },
    {
      "epoch": 2.79,
      "step": 30,
      "total_flos": 9.465954043959706e+16,
      "train_loss": 1.5230770111083984,
      "train_runtime": 114.2345,
      "train_samples_per_second": 35.716,
      "train_steps_per_second": 0.263
    }
  ],
  "logging_steps": 10,
  "max_steps": 30,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 9.465954043959706e+16,
  "trial_name": null,
  "trial_params": null
}