Hugging Face's logo

ermu2001
/
CIF

TensorBoard
Safetensors
Model card Files Metrics Community
ermu2001 commited on
Commit
c00d6a6
·
verified ·
1 Parent(s): b410f90

Upload folder using huggingface_hub

Browse files
Files changed (16) hide show
  1. MODELS/cifnet-18-apple/config.json +56 -0
  2. MODELS/cifnet-18-apple/preprocessor_config.json +22 -0
  3. MODELS/cifnet-18-banana/config.json +56 -0
  4. MODELS/cifnet-18-banana/preprocessor_config.json +22 -0
  5. MODELS/cifnet-18-cucumber/config.json +56 -0
  6. MODELS/cifnet-18-cucumber/preprocessor_config.json +22 -0
  7. MODELS/cifnet-18-durian/config.json +56 -0
  8. MODELS/cifnet-18-durian/preprocessor_config.json +22 -0
  9. MODELS/cifnet-18-eggfruit/config.json +56 -0
  10. MODELS/cifnet-18-eggfruit/preprocessor_config.json +22 -0
  11. MODELS/cifnet-18-fig/config.json +56 -0
  12. MODELS/cifnet-18-fig/preprocessor_config.json +22 -0
  13. MODELS/cifnet-18-grape/config.json +56 -0
  14. MODELS/cifnet-18-grape/preprocessor_config.json +22 -0
  15. MODELS/cifnet-18-tiny/config.json +3 -3
  16. MODELS/cifnet-18-tiny_bottleneck/config.json +4 -4
MODELS/cifnet-18-apple/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 32,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 3,
16
+ 3,
17
+ 3,
18
+ 3
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 64,
23
+ 64,
24
+ 128,
25
+ 128
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-apple/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-banana/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 32,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 4,
16
+ 4,
17
+ 4,
18
+ 4
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 128,
23
+ 128,
24
+ 64,
25
+ 64
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-banana/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-cucumber/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 32,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 2,
16
+ 2,
17
+ 4,
18
+ 3
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 64,
23
+ 64,
24
+ 128,
25
+ 256
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-cucumber/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-durian/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 64,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 3,
16
+ 3,
17
+ 4,
18
+ 4
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 64,
23
+ 64,
24
+ 128,
25
+ 224
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-durian/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-eggfruit/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 32,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 4,
16
+ 4,
17
+ 4,
18
+ 4
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 64,
23
+ 64,
24
+ 128,
25
+ 224
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-eggfruit/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-fig/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 32,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 2,
16
+ 2,
17
+ 4,
18
+ 3
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 64,
23
+ 64,
24
+ 128,
25
+ 256
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-fig/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-grape/config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-18",
3
+ "architectures": [
4
+ "CifNetForImageClassification"
5
+ ],
6
+ "embedding_kwargs": {
7
+ "__comment": "First hidden layer size",
8
+ "embedding_size": 32,
9
+ "embedding_kernel_size_1": 7,
10
+ "embedding_kernel_size_2": 2,
11
+ "embedding_stride_1": 2,
12
+ "embedding_stride_2": 2
13
+ },
14
+ "depths": [
15
+ 2,
16
+ 2,
17
+ 4,
18
+ 3
19
+ ],
20
+ "activation": "silu",
21
+ "hidden_sizes": [
22
+ 64,
23
+ 64,
24
+ 128,
25
+ 256
26
+ ],
27
+ "id2label": {
28
+ "0": "airplane",
29
+ "1": "automobile",
30
+ "2": "bird",
31
+ "3": "cat",
32
+ "4": "deer",
33
+ "5": "dog",
34
+ "6": "frog",
35
+ "7": "horse",
36
+ "8": "ship",
37
+ "9": "truck"
38
+ },
39
+ "label2id": {
40
+ "airplane": "0",
41
+ "automobile": "1",
42
+ "bird": "2",
43
+ "cat": "3",
44
+ "deer": "4",
45
+ "dog": "5",
46
+ "frog": "6",
47
+ "horse": "7",
48
+ "ship": "8",
49
+ "truck": "9"
50
+ },
51
+ "layer_type": "basic",
52
+ "model_type": "resnet",
53
+ "num_channels": 3,
54
+ "torch_dtype": "float32",
55
+ "transformers_version": "4.38.2"
56
+ }
MODELS/cifnet-18-grape/preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
MODELS/cifnet-18-tiny/config.json CHANGED
@@ -23,7 +23,7 @@
23
  64,
24
  64
25
  ],
26
- "id2label":{
27
  "0": "airplane",
28
  "1": "automobile",
29
  "2": "bird",
@@ -35,7 +35,7 @@
35
  "8": "ship",
36
  "9": "truck"
37
  },
38
- "label2id":{
39
  "airplane": "0",
40
  "automobile": "1",
41
  "bird": "2",
@@ -52,4 +52,4 @@
52
  "num_channels": 3,
53
  "torch_dtype": "float32",
54
  "transformers_version": "4.38.2"
55
- }
 
23
  64,
24
  64
25
  ],
26
+ "id2label": {
27
  "0": "airplane",
28
  "1": "automobile",
29
  "2": "bird",
 
35
  "8": "ship",
36
  "9": "truck"
37
  },
38
+ "label2id": {
39
  "airplane": "0",
40
  "automobile": "1",
41
  "bird": "2",
 
52
  "num_channels": 3,
53
  "torch_dtype": "float32",
54
  "transformers_version": "4.38.2"
55
+ }
MODELS/cifnet-18-tiny_bottleneck/config.json CHANGED
@@ -5,7 +5,7 @@
5
  ],
6
  "main_kernel_size": 3,
7
  "embedding_kwargs": {
8
- "embedding_size": 16,
9
  "embedding_kernel_size_1": 7,
10
  "embedding_kernel_size_2": 2,
11
  "embedding_stride_1": 2,
@@ -22,10 +22,10 @@
22
  ],
23
  "activation": "silu",
24
  "hidden_sizes": [
25
- 32,
26
- 64,
27
  128,
28
- 256
 
 
29
  ],
30
  "id2label":{
31
  "0": "airplane",
 
5
  ],
6
  "main_kernel_size": 3,
7
  "embedding_kwargs": {
8
+ "embedding_size": 64,
9
  "embedding_kernel_size_1": 7,
10
  "embedding_kernel_size_2": 2,
11
  "embedding_stride_1": 2,
 
22
  ],
23
  "activation": "silu",
24
  "hidden_sizes": [
 
 
25
  128,
26
+ 128,
27
+ 128,
28
+ 128
29
  ],
30
  "id2label":{
31
  "0": "airplane",