Hugging Face's logo

purabp1249
/
swin-tiny-patch4-window7-224-finetuned-herbify2

Image Classification
Transformers
PyTorch
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
swin-tiny-patch4-window7-224-finetuned-herbify2
File size: 2,459 Bytes 
8478fde
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 1.0,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-herbify2\\checkpoint-37",
  "epoch": 3.891891891891892,
  "eval_steps": 500,
  "global_step": 72,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.54,
      "learning_rate": 4.8437500000000005e-05,
      "loss": 1.6649,
      "step": 10
    },
    {
      "epoch": 0.97,
      "eval_accuracy": 0.9242424242424242,
      "eval_loss": 0.5193227529525757,
      "eval_runtime": 15.3587,
      "eval_samples_per_second": 4.297,
      "eval_steps_per_second": 0.586,
      "step": 18
    },
    {
      "epoch": 1.08,
      "learning_rate": 4.0625000000000005e-05,
      "loss": 0.9289,
      "step": 20
    },
    {
      "epoch": 1.62,
      "learning_rate": 3.2812500000000005e-05,
      "loss": 0.4002,
      "step": 30
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 1.0,
      "eval_loss": 0.06549932062625885,
      "eval_runtime": 11.5656,
      "eval_samples_per_second": 5.707,
      "eval_steps_per_second": 0.778,
      "step": 37
    },
    {
      "epoch": 2.16,
      "learning_rate": 2.5e-05,
      "loss": 0.1738,
      "step": 40
    },
    {
      "epoch": 2.7,
      "learning_rate": 1.71875e-05,
      "loss": 0.1095,
      "step": 50
    },
    {
      "epoch": 2.97,
      "eval_accuracy": 1.0,
      "eval_loss": 0.024937652051448822,
      "eval_runtime": 11.0676,
      "eval_samples_per_second": 5.963,
      "eval_steps_per_second": 0.813,
      "step": 55
    },
    {
      "epoch": 3.24,
      "learning_rate": 9.375000000000001e-06,
      "loss": 0.091,
      "step": 60
    },
    {
      "epoch": 3.78,
      "learning_rate": 1.5625e-06,
      "loss": 0.0486,
      "step": 70
    },
    {
      "epoch": 3.89,
      "eval_accuracy": 1.0,
      "eval_loss": 0.01543662790209055,
      "eval_runtime": 11.9323,
      "eval_samples_per_second": 5.531,
      "eval_steps_per_second": 0.754,
      "step": 72
    },
    {
      "epoch": 3.89,
      "step": 72,
      "total_flos": 5.682714166060646e+16,
      "train_loss": 0.4762725825938914,
      "train_runtime": 1181.7253,
      "train_samples_per_second": 1.984,
      "train_steps_per_second": 0.061
    }
  ],
  "logging_steps": 10,
  "max_steps": 72,
  "num_train_epochs": 4,
  "save_steps": 500,
  "total_flos": 5.682714166060646e+16,
  "trial_name": null,
  "trial_params": null
}