Hugging Face's logo

0xhzx
/
swin-tiny-patch4-window7-224-finetuned-art

Image Classification
Transformers
TensorBoard
Safetensors
swin
Inference Endpoints
Model card Files Metrics Community
swin-tiny-patch4-window7-224-finetuned-art
File size: 3,064 Bytes 
fb48853
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
 
{
  "best_metric": 0.7170383055043567,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-art/checkpoint-171",
  "epoch": 1.9941690962099126,
  "eval_steps": 500,
  "global_step": 171,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.12,
      "learning_rate": 1.96078431372549e-06,
      "loss": 2.0347,
      "step": 10
    },
    {
      "epoch": 0.23,
      "learning_rate": 3.92156862745098e-06,
      "loss": 1.9855,
      "step": 20
    },
    {
      "epoch": 0.35,
      "learning_rate": 5.882352941176471e-06,
      "loss": 1.8774,
      "step": 30
    },
    {
      "epoch": 0.47,
      "learning_rate": 7.84313725490196e-06,
      "loss": 1.7658,
      "step": 40
    },
    {
      "epoch": 0.58,
      "learning_rate": 9.803921568627451e-06,
      "loss": 1.6138,
      "step": 50
    },
    {
      "epoch": 0.7,
      "learning_rate": 1.1764705882352942e-05,
      "loss": 1.422,
      "step": 60
    },
    {
      "epoch": 0.82,
      "learning_rate": 1.3725490196078432e-05,
      "loss": 1.3298,
      "step": 70
    },
    {
      "epoch": 0.93,
      "learning_rate": 1.568627450980392e-05,
      "loss": 1.262,
      "step": 80
    },
    {
      "epoch": 0.99,
      "eval_f1": 0.5746968921742681,
      "eval_loss": 1.1490696668624878,
      "eval_runtime": 23.7551,
      "eval_samples_per_second": 115.302,
      "eval_steps_per_second": 3.62,
      "step": 85
    },
    {
      "epoch": 1.05,
      "learning_rate": 1.7647058823529414e-05,
      "loss": 1.1287,
      "step": 90
    },
    {
      "epoch": 1.17,
      "learning_rate": 1.9607843137254903e-05,
      "loss": 1.0018,
      "step": 100
    },
    {
      "epoch": 1.28,
      "learning_rate": 2.1568627450980395e-05,
      "loss": 1.01,
      "step": 110
    },
    {
      "epoch": 1.4,
      "learning_rate": 2.3529411764705884e-05,
      "loss": 1.032,
      "step": 120
    },
    {
      "epoch": 1.52,
      "learning_rate": 2.5490196078431373e-05,
      "loss": 0.9039,
      "step": 130
    },
    {
      "epoch": 1.63,
      "learning_rate": 2.7450980392156865e-05,
      "loss": 0.8492,
      "step": 140
    },
    {
      "epoch": 1.75,
      "learning_rate": 2.9411764705882354e-05,
      "loss": 0.8667,
      "step": 150
    },
    {
      "epoch": 1.87,
      "learning_rate": 3.137254901960784e-05,
      "loss": 0.7881,
      "step": 160
    },
    {
      "epoch": 1.98,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.7538,
      "step": 170
    },
    {
      "epoch": 1.99,
      "eval_f1": 0.7170383055043567,
      "eval_loss": 0.7177160978317261,
      "eval_runtime": 27.6306,
      "eval_samples_per_second": 99.129,
      "eval_steps_per_second": 3.112,
      "step": 171
    }
  ],
  "logging_steps": 10,
  "max_steps": 2550,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 5.4452164834993766e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}