Hugging Face's logo

soyeb-jim285
/
ocr-visualization-models

ONNX
Model card Files
xet
 Community
soyeb-jim285 commited on
Commit
b539d9c
·
verified ·
1 Parent(s): 3491b86

Upload model-lab/ee733dc4376383a8/metadata.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. model-lab/ee733dc4376383a8/metadata.json +154 -0
model-lab/ee733dc4376383a8/metadata.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "configHash": "ee733dc4376383a8",
3
+ "config": {
4
+ "architecture": {
5
+ "convLayers": [
6
+ {
7
+ "filters": 64,
8
+ "kernelSize": 5,
9
+ "activation": "tanh",
10
+ "pooling": "none",
11
+ "batchNorm": true
12
+ },
13
+ {
14
+ "filters": 128,
15
+ "kernelSize": 3,
16
+ "activation": "relu",
17
+ "pooling": "max",
18
+ "batchNorm": true
19
+ },
20
+ {
21
+ "filters": 256,
22
+ "kernelSize": 3,
23
+ "activation": "relu",
24
+ "pooling": "max",
25
+ "batchNorm": true
26
+ }
27
+ ],
28
+ "dense": {
29
+ "width": 512,
30
+ "dropout": 0.5,
31
+ "activation": "relu"
32
+ }
33
+ },
34
+ "training": {
35
+ "dataset": "combined",
36
+ "learningRate": 0.001,
37
+ "epochs": 10,
38
+ "batchSize": 32,
39
+ "optimizer": "adam",
40
+ "maxSamples": 35000
41
+ }
42
+ },
43
+ "layerNames": [
44
+ "conv1",
45
+ "act1",
46
+ "conv2",
47
+ "act2",
48
+ "pool2",
49
+ "conv3",
50
+ "act3",
51
+ "pool3",
52
+ "dense1",
53
+ "dense1_act",
54
+ "output"
55
+ ],
56
+ "numClasses": 146,
57
+ "trainingCurve": [
58
+ {
59
+ "epoch": 1,
60
+ "totalEpochs": 10,
61
+ "loss": 4.2099,
62
+ "acc": 0.0897,
63
+ "valLoss": 3.0531,
64
+ "valAcc": 0.3425,
65
+ "elapsedSec": 13.9
66
+ },
67
+ {
68
+ "epoch": 2,
69
+ "totalEpochs": 10,
70
+ "loss": 3.5778,
71
+ "acc": 0.193,
72
+ "valLoss": 2.6791,
73
+ "valAcc": 0.4921,
74
+ "elapsedSec": 23.1
75
+ },
76
+ {
77
+ "epoch": 3,
78
+ "totalEpochs": 10,
79
+ "loss": 3.1316,
80
+ "acc": 0.3112,
81
+ "valLoss": 2.3129,
82
+ "valAcc": 0.5718,
83
+ "elapsedSec": 32.3
84
+ },
85
+ {
86
+ "epoch": 4,
87
+ "totalEpochs": 10,
88
+ "loss": 2.7794,
89
+ "acc": 0.4132,
90
+ "valLoss": 2.018,
91
+ "valAcc": 0.6321,
92
+ "elapsedSec": 42.4
93
+ },
94
+ {
95
+ "epoch": 5,
96
+ "totalEpochs": 10,
97
+ "loss": 2.5087,
98
+ "acc": 0.4936,
99
+ "valLoss": 1.8544,
100
+ "valAcc": 0.6931,
101
+ "elapsedSec": 51.6
102
+ },
103
+ {
104
+ "epoch": 6,
105
+ "totalEpochs": 10,
106
+ "loss": 2.3113,
107
+ "acc": 0.5613,
108
+ "valLoss": 1.7598,
109
+ "valAcc": 0.7248,
110
+ "elapsedSec": 60.7
111
+ },
112
+ {
113
+ "epoch": 7,
114
+ "totalEpochs": 10,
115
+ "loss": 2.1349,
116
+ "acc": 0.6174,
117
+ "valLoss": 1.6602,
118
+ "valAcc": 0.752,
119
+ "elapsedSec": 70.3
120
+ },
121
+ {
122
+ "epoch": 8,
123
+ "totalEpochs": 10,
124
+ "loss": 2.0051,
125
+ "acc": 0.6659,
126
+ "valLoss": 1.6102,
127
+ "valAcc": 0.7714,
128
+ "elapsedSec": 79.9
129
+ },
130
+ {
131
+ "epoch": 9,
132
+ "totalEpochs": 10,
133
+ "loss": 1.9142,
134
+ "acc": 0.7001,
135
+ "valLoss": 1.5784,
136
+ "valAcc": 0.7799,
137
+ "elapsedSec": 89.1
138
+ },
139
+ {
140
+ "epoch": 10,
141
+ "totalEpochs": 10,
142
+ "loss": 1.8576,
143
+ "acc": 0.7205,
144
+ "valLoss": 1.5721,
145
+ "valAcc": 0.7843,
146
+ "elapsedSec": 98.2
147
+ }
148
+ ],
149
+ "finalMetrics": {
150
+ "valLoss": 1.5721,
151
+ "valAcc": 0.7843
152
+ },
153
+ "createdAt": "2026-03-08T17:07:21Z"
154
+ }