Hugging Face's logo

gowitheflowlab
/
clip-base-wikispan-zh

Zero-Shot Image Classification
Transformers
PyTorch
clip
Model card Files
xet
Community
1
clip-base-wikispan-zh
File size: 3,616 Bytes 
341ecb5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
 
{
  "best_metric": 0.6898275702301695,
  "best_model_checkpoint": "./checkpoints/clip-base-1024-wikispan-zh/checkpoint-80",
  "epoch": 0.9981515711645101,
  "global_step": 1080,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.04,
      "learning_rate": 1.2e-05,
      "loss": 4.8399,
      "step": 40
    },
    {
      "epoch": 0.07,
      "learning_rate": 2.4e-05,
      "loss": 3.5014,
      "step": 80
    },
    {
      "epoch": 0.11,
      "learning_rate": 2.9387755102040816e-05,
      "loss": 3.0493,
      "step": 120
    },
    {
      "epoch": 0.15,
      "learning_rate": 2.816326530612245e-05,
      "loss": 2.7824,
      "step": 160
    },
    {
      "epoch": 0.18,
      "learning_rate": 2.6938775510204084e-05,
      "loss": 2.6082,
      "step": 200
    },
    {
      "epoch": 0.22,
      "learning_rate": 2.5714285714285714e-05,
      "loss": 2.4526,
      "step": 240
    },
    {
      "epoch": 0.26,
      "learning_rate": 2.448979591836735e-05,
      "loss": 2.3498,
      "step": 280
    },
    {
      "epoch": 0.3,
      "learning_rate": 2.326530612244898e-05,
      "loss": 2.2737,
      "step": 320
    },
    {
      "epoch": 0.33,
      "learning_rate": 2.2040816326530613e-05,
      "loss": 2.2202,
      "step": 360
    },
    {
      "epoch": 0.37,
      "learning_rate": 2.0816326530612247e-05,
      "loss": 2.1674,
      "step": 400
    },
    {
      "epoch": 0.41,
      "learning_rate": 1.9591836734693877e-05,
      "loss": 2.0913,
      "step": 440
    },
    {
      "epoch": 0.44,
      "learning_rate": 1.836734693877551e-05,
      "loss": 2.097,
      "step": 480
    },
    {
      "epoch": 0.48,
      "learning_rate": 1.7142857142857142e-05,
      "loss": 2.0522,
      "step": 520
    },
    {
      "epoch": 0.52,
      "learning_rate": 1.5918367346938776e-05,
      "loss": 1.985,
      "step": 560
    },
    {
      "epoch": 0.55,
      "learning_rate": 1.4693877551020408e-05,
      "loss": 2.0079,
      "step": 600
    },
    {
      "epoch": 0.59,
      "learning_rate": 1.3469387755102042e-05,
      "loss": 1.9555,
      "step": 640
    },
    {
      "epoch": 0.63,
      "learning_rate": 1.2244897959183674e-05,
      "loss": 1.9276,
      "step": 680
    },
    {
      "epoch": 0.67,
      "learning_rate": 1.1020408163265306e-05,
      "loss": 1.9019,
      "step": 720
    },
    {
      "epoch": 0.7,
      "learning_rate": 9.795918367346939e-06,
      "loss": 1.902,
      "step": 760
    },
    {
      "epoch": 0.74,
      "learning_rate": 8.571428571428571e-06,
      "loss": 1.8852,
      "step": 800
    },
    {
      "epoch": 0.78,
      "learning_rate": 7.346938775510204e-06,
      "loss": 1.8552,
      "step": 840
    },
    {
      "epoch": 0.81,
      "learning_rate": 6.122448979591837e-06,
      "loss": 1.8724,
      "step": 880
    },
    {
      "epoch": 0.85,
      "learning_rate": 4.897959183673469e-06,
      "loss": 1.8581,
      "step": 920
    },
    {
      "epoch": 0.89,
      "learning_rate": 3.673469387755102e-06,
      "loss": 1.796,
      "step": 960
    },
    {
      "epoch": 0.92,
      "learning_rate": 2.4489795918367347e-06,
      "loss": 1.8108,
      "step": 1000
    },
    {
      "epoch": 0.96,
      "learning_rate": 1.2244897959183673e-06,
      "loss": 1.8081,
      "step": 1040
    },
    {
      "epoch": 1.0,
      "learning_rate": 0.0,
      "loss": 1.778,
      "step": 1080
    }
  ],
  "max_steps": 1080,
  "num_train_epochs": 1,
  "total_flos": 0.0,
  "trial_name": null,
  "trial_params": null
}