Hugging Face's logo

mlahr
/
font-identifier

Image Classification
Transformers
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Community
1
mlahr commited on
Commit
bb636d8
·
verified ·
1 Parent(s): 8ab3b40

Model save

Browse files
Files changed (3) hide show
  1. README.md +53 -53
  2. config.json +0 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.2760
37
  - Accuracy: 0.9162
 
38
 
39
  ## Model description
40
 
@@ -66,58 +66,58 @@ The following hyperparameters were used during training:
66
 
67
  ### Training results
68
 
69
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
71
- | 3.7676 | 1.0 | 24 | 3.6832 | 0.0459 |
72
- | 3.607 | 2.0 | 48 | 3.4400 | 0.0919 |
73
- | 3.2234 | 3.0 | 72 | 3.0452 | 0.1919 |
74
- | 2.8944 | 4.0 | 96 | 2.5182 | 0.3324 |
75
- | 2.1637 | 5.0 | 120 | 2.0193 | 0.4351 |
76
- | 1.9347 | 6.0 | 144 | 1.6222 | 0.5595 |
77
- | 1.6851 | 7.0 | 168 | 1.3065 | 0.6297 |
78
- | 1.369 | 8.0 | 192 | 1.0945 | 0.6919 |
79
- | 1.2987 | 9.0 | 216 | 0.9188 | 0.7270 |
80
- | 1.1044 | 10.0 | 240 | 0.8216 | 0.7541 |
81
- | 1.044 | 11.0 | 264 | 0.7295 | 0.8 |
82
- | 1.0134 | 12.0 | 288 | 0.6655 | 0.8270 |
83
- | 0.9284 | 13.0 | 312 | 0.6212 | 0.8189 |
84
- | 0.8603 | 14.0 | 336 | 0.5687 | 0.8216 |
85
- | 0.7748 | 15.0 | 360 | 0.5291 | 0.8649 |
86
- | 0.8133 | 16.0 | 384 | 0.5337 | 0.8324 |
87
- | 0.8379 | 17.0 | 408 | 0.4993 | 0.8486 |
88
- | 0.751 | 18.0 | 432 | 0.4632 | 0.8514 |
89
- | 0.8585 | 19.0 | 456 | 0.4908 | 0.8162 |
90
- | 0.6627 | 20.0 | 480 | 0.4358 | 0.8622 |
91
- | 0.6497 | 21.0 | 504 | 0.4240 | 0.8486 |
92
- | 0.6422 | 22.0 | 528 | 0.4143 | 0.8486 |
93
- | 0.5964 | 23.0 | 552 | 0.3912 | 0.8676 |
94
- | 0.5793 | 24.0 | 576 | 0.4026 | 0.8568 |
95
- | 0.5909 | 25.0 | 600 | 0.3531 | 0.8838 |
96
- | 0.593 | 26.0 | 624 | 0.3661 | 0.8811 |
97
- | 0.5957 | 27.0 | 648 | 0.3674 | 0.8892 |
98
- | 0.5869 | 28.0 | 672 | 0.3710 | 0.8892 |
99
- | 0.4999 | 29.0 | 696 | 0.3422 | 0.8919 |
100
- | 0.4843 | 30.0 | 720 | 0.3178 | 0.8946 |
101
- | 0.5352 | 31.0 | 744 | 0.3129 | 0.8865 |
102
- | 0.4937 | 32.0 | 768 | 0.3399 | 0.8973 |
103
- | 0.483 | 33.0 | 792 | 0.2855 | 0.8973 |
104
- | 0.4265 | 34.0 | 816 | 0.3316 | 0.9 |
105
- | 0.4412 | 35.0 | 840 | 0.3273 | 0.8865 |
106
- | 0.4324 | 36.0 | 864 | 0.3167 | 0.8973 |
107
- | 0.4681 | 37.0 | 888 | 0.2944 | 0.9270 |
108
- | 0.4813 | 38.0 | 912 | 0.2943 | 0.9135 |
109
- | 0.4585 | 39.0 | 936 | 0.3019 | 0.9027 |
110
- | 0.4151 | 40.0 | 960 | 0.3399 | 0.8892 |
111
- | 0.4351 | 41.0 | 984 | 0.2623 | 0.9081 |
112
- | 0.4364 | 42.0 | 1008 | 0.2892 | 0.9135 |
113
- | 0.4632 | 43.0 | 1032 | 0.3086 | 0.9081 |
114
- | 0.3867 | 44.0 | 1056 | 0.2913 | 0.9 |
115
- | 0.4007 | 45.0 | 1080 | 0.2502 | 0.9135 |
116
- | 0.3848 | 46.0 | 1104 | 0.2702 | 0.9162 |
117
- | 0.4061 | 47.0 | 1128 | 0.2634 | 0.9162 |
118
- | 0.3901 | 48.0 | 1152 | 0.2975 | 0.9054 |
119
- | 0.3794 | 49.0 | 1176 | 0.2590 | 0.8973 |
120
- | 0.3583 | 50.0 | 1200 | 0.2760 | 0.9162 |
121
 
122
 
123
  ### Framework versions
 
33
 
34
  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
 
36
  - Accuracy: 0.9162
37
+ - Loss: 0.2760
38
 
39
  ## Model description
40
 
 
66
 
67
  ### Training results
68
 
69
+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
70
+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
71
+ | 3.7676 | 1.0 | 24 | 0.0459 | 3.6832 |
72
+ | 3.607 | 2.0 | 48 | 0.0919 | 3.4400 |
73
+ | 3.2234 | 3.0 | 72 | 0.1919 | 3.0452 |
74
+ | 2.8944 | 4.0 | 96 | 0.3324 | 2.5182 |
75
+ | 2.1637 | 5.0 | 120 | 0.4351 | 2.0193 |
76
+ | 1.9347 | 6.0 | 144 | 0.5595 | 1.6222 |
77
+ | 1.6851 | 7.0 | 168 | 0.6297 | 1.3065 |
78
+ | 1.369 | 8.0 | 192 | 0.6919 | 1.0945 |
79
+ | 1.2987 | 9.0 | 216 | 0.7270 | 0.9188 |
80
+ | 1.1044 | 10.0 | 240 | 0.7541 | 0.8216 |
81
+ | 1.044 | 11.0 | 264 | 0.8 | 0.7295 |
82
+ | 1.0134 | 12.0 | 288 | 0.8270 | 0.6655 |
83
+ | 0.9284 | 13.0 | 312 | 0.8189 | 0.6212 |
84
+ | 0.8603 | 14.0 | 336 | 0.8216 | 0.5687 |
85
+ | 0.7748 | 15.0 | 360 | 0.8649 | 0.5291 |
86
+ | 0.8133 | 16.0 | 384 | 0.8324 | 0.5337 |
87
+ | 0.8379 | 17.0 | 408 | 0.8486 | 0.4993 |
88
+ | 0.751 | 18.0 | 432 | 0.8514 | 0.4632 |
89
+ | 0.8585 | 19.0 | 456 | 0.8162 | 0.4908 |
90
+ | 0.6627 | 20.0 | 480 | 0.8622 | 0.4358 |
91
+ | 0.6497 | 21.0 | 504 | 0.8486 | 0.4240 |
92
+ | 0.6422 | 22.0 | 528 | 0.8486 | 0.4143 |
93
+ | 0.5964 | 23.0 | 552 | 0.8676 | 0.3912 |
94
+ | 0.5793 | 24.0 | 576 | 0.8568 | 0.4026 |
95
+ | 0.5909 | 25.0 | 600 | 0.8838 | 0.3531 |
96
+ | 0.593 | 26.0 | 624 | 0.8811 | 0.3661 |
97
+ | 0.5957 | 27.0 | 648 | 0.8892 | 0.3674 |
98
+ | 0.5869 | 28.0 | 672 | 0.8892 | 0.3710 |
99
+ | 0.4999 | 29.0 | 696 | 0.8919 | 0.3422 |
100
+ | 0.4843 | 30.0 | 720 | 0.8946 | 0.3178 |
101
+ | 0.5352 | 31.0 | 744 | 0.8865 | 0.3129 |
102
+ | 0.4937 | 32.0 | 768 | 0.8973 | 0.3399 |
103
+ | 0.483 | 33.0 | 792 | 0.8973 | 0.2855 |
104
+ | 0.4265 | 34.0 | 816 | 0.9 | 0.3316 |
105
+ | 0.4412 | 35.0 | 840 | 0.8865 | 0.3273 |
106
+ | 0.4324 | 36.0 | 864 | 0.8973 | 0.3167 |
107
+ | 0.4681 | 37.0 | 888 | 0.9270 | 0.2944 |
108
+ | 0.4813 | 38.0 | 912 | 0.9135 | 0.2943 |
109
+ | 0.4585 | 39.0 | 936 | 0.9027 | 0.3019 |
110
+ | 0.4151 | 40.0 | 960 | 0.8892 | 0.3399 |
111
+ | 0.4351 | 41.0 | 984 | 0.9081 | 0.2623 |
112
+ | 0.4364 | 42.0 | 1008 | 0.9135 | 0.2892 |
113
+ | 0.4632 | 43.0 | 1032 | 0.9081 | 0.3086 |
114
+ | 0.3867 | 44.0 | 1056 | 0.9 | 0.2913 |
115
+ | 0.4007 | 45.0 | 1080 | 0.9135 | 0.2502 |
116
+ | 0.3848 | 46.0 | 1104 | 0.9162 | 0.2702 |
117
+ | 0.4061 | 47.0 | 1128 | 0.9162 | 0.2634 |
118
+ | 0.3901 | 48.0 | 1152 | 0.9054 | 0.2975 |
119
+ | 0.3794 | 49.0 | 1176 | 0.8973 | 0.2590 |
120
+ | 0.3583 | 50.0 | 1200 | 0.9162 | 0.2760 |
121
 
122
 
123
  ### Framework versions
config.json CHANGED
@@ -105,7 +105,6 @@
105
  "out_indices": [
106
  4
107
  ],
108
- "problem_type": "single_label_classification",
109
  "stage_names": [
110
  "stem",
111
  "stage1",
 
105
  "out_indices": [
106
  4
107
  ],
 
108
  "stage_names": [
109
  "stem",
110
  "stage1",
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3df25d8052ea03350a5871b9a8b88f8fd46e5c4b7a76fcb102e2fb960e24e045
3
  size 5777
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:439ea17f5ad2fa7dc71e7926cb3c0b1d631f394800cc9a0cea8829c3a3124bb0
3
  size 5777