Hugging Face's logo

bdpc
/
resnet101-base_tobacco-cnn_tobacco3482_kd_CEKD_t1.5_a0.9

Image Classification
Transformers
PyTorch
resnet
Generated from Trainer
Model card Files Community
1
bdpc commited on
Commit
f96b6d7
·
1 Parent(s): 6648546

Saving best model to hub

Browse files
Files changed (8) hide show
  1. README.md +116 -0
  2. config.json +64 -0
  3. pytorch_model.bin +3 -0
  4. test-logits.npz +3 -0
  5. test-references.npz +3 -0
  6. training_args.bin +3 -0
  7. validation-logits.npz +3 -0
  8. validation-references.npz +3 -0
README.md ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: microsoft/resnet-50
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: resnet101-base_tobacco-cnn_tobacco3482_kd_CEKD_t1.5_a0.9
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # resnet101-base_tobacco-cnn_tobacco3482_kd_CEKD_t1.5_a0.9
17
+
18
+ This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.8831
21
+ - Accuracy: 0.695
22
+ - Brier Loss: 0.4126
23
+ - Nll: 2.4628
24
+ - F1 Micro: 0.695
25
+ - F1 Macro: 0.6387
26
+ - Ece: 0.2426
27
+ - Aurc: 0.1068
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 0.0001
47
+ - train_batch_size: 64
48
+ - eval_batch_size: 64
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - lr_scheduler_warmup_ratio: 0.1
53
+ - num_epochs: 50
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll | F1 Micro | F1 Macro | Ece | Aurc |
58
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
59
+ | No log | 1.0 | 13 | 2.1233 | 0.16 | 0.8967 | 8.5697 | 0.16 | 0.1066 | 0.2078 | 0.8316 |
60
+ | No log | 2.0 | 26 | 2.1188 | 0.14 | 0.8961 | 8.2960 | 0.14 | 0.0886 | 0.1947 | 0.8419 |
61
+ | No log | 3.0 | 39 | 2.0764 | 0.195 | 0.8873 | 6.4713 | 0.195 | 0.1159 | 0.2335 | 0.7665 |
62
+ | No log | 4.0 | 52 | 2.0365 | 0.21 | 0.8787 | 5.7752 | 0.2100 | 0.0930 | 0.2376 | 0.7548 |
63
+ | No log | 5.0 | 65 | 1.9888 | 0.2 | 0.8682 | 5.8737 | 0.2000 | 0.0775 | 0.2417 | 0.7314 |
64
+ | No log | 6.0 | 78 | 1.8998 | 0.215 | 0.8465 | 5.8553 | 0.2150 | 0.0970 | 0.2586 | 0.7063 |
65
+ | No log | 7.0 | 91 | 1.8351 | 0.33 | 0.8289 | 5.7781 | 0.33 | 0.1904 | 0.3089 | 0.6103 |
66
+ | No log | 8.0 | 104 | 1.7342 | 0.4 | 0.7968 | 5.5366 | 0.4000 | 0.2476 | 0.3457 | 0.4276 |
67
+ | No log | 9.0 | 117 | 1.6787 | 0.36 | 0.7757 | 5.7414 | 0.36 | 0.2148 | 0.3062 | 0.4324 |
68
+ | No log | 10.0 | 130 | 1.6942 | 0.4 | 0.7870 | 5.2615 | 0.4000 | 0.2831 | 0.3168 | 0.5227 |
69
+ | No log | 11.0 | 143 | 1.5992 | 0.4 | 0.7489 | 4.7833 | 0.4000 | 0.2649 | 0.3053 | 0.4679 |
70
+ | No log | 12.0 | 156 | 1.6071 | 0.425 | 0.7532 | 4.2803 | 0.425 | 0.2906 | 0.3196 | 0.4646 |
71
+ | No log | 13.0 | 169 | 1.4727 | 0.48 | 0.6925 | 4.1911 | 0.48 | 0.3239 | 0.2957 | 0.3081 |
72
+ | No log | 14.0 | 182 | 1.4275 | 0.515 | 0.6705 | 3.7980 | 0.515 | 0.3569 | 0.3211 | 0.2626 |
73
+ | No log | 15.0 | 195 | 1.3282 | 0.56 | 0.6200 | 3.6359 | 0.56 | 0.4163 | 0.2990 | 0.2213 |
74
+ | No log | 16.0 | 208 | 1.3280 | 0.565 | 0.6263 | 3.4960 | 0.565 | 0.4177 | 0.3217 | 0.2346 |
75
+ | No log | 17.0 | 221 | 1.3220 | 0.595 | 0.6196 | 3.2202 | 0.595 | 0.4639 | 0.3322 | 0.1992 |
76
+ | No log | 18.0 | 234 | 1.2359 | 0.595 | 0.5840 | 3.3332 | 0.595 | 0.4780 | 0.3042 | 0.2011 |
77
+ | No log | 19.0 | 247 | 1.1690 | 0.625 | 0.5531 | 3.2423 | 0.625 | 0.5233 | 0.2940 | 0.1807 |
78
+ | No log | 20.0 | 260 | 1.1644 | 0.64 | 0.5532 | 3.0542 | 0.64 | 0.5429 | 0.3019 | 0.1821 |
79
+ | No log | 21.0 | 273 | 1.1611 | 0.62 | 0.5516 | 2.9412 | 0.62 | 0.5193 | 0.2865 | 0.2160 |
80
+ | No log | 22.0 | 286 | 1.3427 | 0.585 | 0.6361 | 3.0936 | 0.585 | 0.5089 | 0.3442 | 0.2922 |
81
+ | No log | 23.0 | 299 | 1.1238 | 0.62 | 0.5440 | 2.7924 | 0.62 | 0.5458 | 0.2654 | 0.2088 |
82
+ | No log | 24.0 | 312 | 1.2008 | 0.685 | 0.5615 | 2.5918 | 0.685 | 0.5890 | 0.3907 | 0.1516 |
83
+ | No log | 25.0 | 325 | 1.0764 | 0.695 | 0.5000 | 2.6354 | 0.695 | 0.6107 | 0.3126 | 0.1397 |
84
+ | No log | 26.0 | 338 | 1.0268 | 0.675 | 0.4822 | 2.4798 | 0.675 | 0.5992 | 0.2775 | 0.1229 |
85
+ | No log | 27.0 | 351 | 1.0340 | 0.67 | 0.4893 | 2.4316 | 0.67 | 0.5997 | 0.2763 | 0.1638 |
86
+ | No log | 28.0 | 364 | 1.0154 | 0.665 | 0.4769 | 2.6487 | 0.665 | 0.6034 | 0.2590 | 0.1487 |
87
+ | No log | 29.0 | 377 | 1.0013 | 0.64 | 0.4814 | 2.5899 | 0.64 | 0.5771 | 0.2429 | 0.1593 |
88
+ | No log | 30.0 | 390 | 1.0173 | 0.685 | 0.4714 | 2.6922 | 0.685 | 0.6178 | 0.2898 | 0.1423 |
89
+ | No log | 31.0 | 403 | 0.9630 | 0.695 | 0.4509 | 2.6349 | 0.695 | 0.6206 | 0.2746 | 0.1248 |
90
+ | No log | 32.0 | 416 | 0.9950 | 0.68 | 0.4648 | 2.4144 | 0.68 | 0.6362 | 0.3020 | 0.1725 |
91
+ | No log | 33.0 | 429 | 0.9711 | 0.72 | 0.4502 | 2.6651 | 0.72 | 0.6571 | 0.2892 | 0.1268 |
92
+ | No log | 34.0 | 442 | 0.9491 | 0.705 | 0.4425 | 2.7169 | 0.705 | 0.6425 | 0.2541 | 0.1145 |
93
+ | No log | 35.0 | 455 | 0.9213 | 0.685 | 0.4309 | 2.5736 | 0.685 | 0.6174 | 0.2380 | 0.1161 |
94
+ | No log | 36.0 | 468 | 0.9144 | 0.695 | 0.4297 | 2.4141 | 0.695 | 0.6308 | 0.2502 | 0.1154 |
95
+ | No log | 37.0 | 481 | 0.9242 | 0.715 | 0.4264 | 2.7191 | 0.715 | 0.6429 | 0.2386 | 0.1030 |
96
+ | No log | 38.0 | 494 | 0.9290 | 0.695 | 0.4346 | 2.6515 | 0.695 | 0.6367 | 0.2432 | 0.1189 |
97
+ | 1.0953 | 39.0 | 507 | 0.9110 | 0.69 | 0.4262 | 2.6615 | 0.69 | 0.6328 | 0.2368 | 0.1112 |
98
+ | 1.0953 | 40.0 | 520 | 0.9000 | 0.695 | 0.4186 | 2.4590 | 0.695 | 0.6417 | 0.2453 | 0.1070 |
99
+ | 1.0953 | 41.0 | 533 | 0.8961 | 0.69 | 0.4189 | 2.4170 | 0.69 | 0.6368 | 0.2349 | 0.1090 |
100
+ | 1.0953 | 42.0 | 546 | 0.9103 | 0.675 | 0.4286 | 2.6129 | 0.675 | 0.6193 | 0.2318 | 0.1190 |
101
+ | 1.0953 | 43.0 | 559 | 0.8858 | 0.715 | 0.4131 | 2.5243 | 0.715 | 0.6517 | 0.2462 | 0.1053 |
102
+ | 1.0953 | 44.0 | 572 | 0.8872 | 0.705 | 0.4135 | 2.3272 | 0.705 | 0.6542 | 0.2596 | 0.1051 |
103
+ | 1.0953 | 45.0 | 585 | 0.8897 | 0.715 | 0.4136 | 2.3788 | 0.715 | 0.6532 | 0.2560 | 0.1035 |
104
+ | 1.0953 | 46.0 | 598 | 0.8842 | 0.7 | 0.4117 | 2.5325 | 0.7 | 0.6446 | 0.2327 | 0.1075 |
105
+ | 1.0953 | 47.0 | 611 | 0.8857 | 0.675 | 0.4141 | 2.5451 | 0.675 | 0.6203 | 0.2473 | 0.1125 |
106
+ | 1.0953 | 48.0 | 624 | 0.8875 | 0.69 | 0.4164 | 2.4696 | 0.69 | 0.6352 | 0.2542 | 0.1109 |
107
+ | 1.0953 | 49.0 | 637 | 0.8842 | 0.69 | 0.4153 | 2.5338 | 0.69 | 0.6358 | 0.2302 | 0.1112 |
108
+ | 1.0953 | 50.0 | 650 | 0.8831 | 0.695 | 0.4126 | 2.4628 | 0.695 | 0.6387 | 0.2426 | 0.1068 |
109
+
110
+
111
+ ### Framework versions
112
+
113
+ - Transformers 4.33.3
114
+ - Pytorch 2.2.0.dev20231002
115
+ - Datasets 2.7.1
116
+ - Tokenizers 0.13.3
config.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-50",
3
+ "architectures": [
4
+ "ResNetForImageClassification"
5
+ ],
6
+ "depths": [
7
+ 3,
8
+ 4,
9
+ 6,
10
+ 3
11
+ ],
12
+ "downsample_in_first_stage": false,
13
+ "embedding_size": 64,
14
+ "hidden_act": "relu",
15
+ "hidden_sizes": [
16
+ 256,
17
+ 512,
18
+ 1024,
19
+ 2048
20
+ ],
21
+ "id2label": {
22
+ "0": "ADVE",
23
+ "1": "Email",
24
+ "2": "Form",
25
+ "3": "Letter",
26
+ "4": "Memo",
27
+ "5": "News",
28
+ "6": "Note",
29
+ "7": "Report",
30
+ "8": "Resume",
31
+ "9": "Scientific"
32
+ },
33
+ "label2id": {
34
+ "ADVE": 0,
35
+ "Email": 1,
36
+ "Form": 2,
37
+ "Letter": 3,
38
+ "Memo": 4,
39
+ "News": 5,
40
+ "Note": 6,
41
+ "Report": 7,
42
+ "Resume": 8,
43
+ "Scientific": 9
44
+ },
45
+ "layer_type": "bottleneck",
46
+ "model_type": "resnet",
47
+ "num_channels": 3,
48
+ "out_features": [
49
+ "stage4"
50
+ ],
51
+ "out_indices": [
52
+ 4
53
+ ],
54
+ "problem_type": "single_label_classification",
55
+ "stage_names": [
56
+ "stem",
57
+ "stage1",
58
+ "stage2",
59
+ "stage3",
60
+ "stage4"
61
+ ],
62
+ "torch_dtype": "float32",
63
+ "transformers_version": "4.33.3"
64
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:335f2fdb1c86cb53978a3b84b1109bae54daf23e86192e54928643c92419c246
3
+ size 94440970
test-logits.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c771d0f625a964b30b9e2b7561541e722ac631af281a911e547c210847d2fb7c
3
+ size 91251
test-references.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2afcfdc977d6e963da44f7d0b6169569f722c36f36eb2c2798b49630510363b
3
+ size 2128
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1482fedfb1ef4a4a5139648cf56bb7532794bd6c73cf201235ec00d4c6be608
3
+ size 4792
validation-logits.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48894944e261f71548a77ae93d22b619dd0e18f48c81d811a534155b10114ccc
3
+ size 7566
validation-references.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0354b78de1e153edfd908a412b596b1a05abea3df9a94323763cbb1ee2631790
3
+ size 423