Hugging Face's logo

bombshelll
/
2D_hgg_lgg_classification

Image Classification
Transformers
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Community
bombshelll commited on
Commit
8fd73b0
·
verified ·
1 Parent(s): ff615ed

Model save

Browse files
Files changed (2) hide show
  1. README.md +53 -33
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.796875
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -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/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.5088
37
- - Accuracy: 0.7969
38
 
39
  ## Model description
40
 
@@ -62,41 +62,61 @@ The following hyperparameters were used during training:
62
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
63
  - lr_scheduler_type: linear
64
  - lr_scheduler_warmup_ratio: 0.1
65
- - num_epochs: 30
66
 
67
  ### Training results
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
- | 0.6381 | 0.9655 | 7 | 0.5358 | 0.7812 |
72
- | 0.5538 | 1.9310 | 14 | 0.5186 | 0.7812 |
73
- | 0.5046 | 2.8966 | 21 | 0.5115 | 0.7812 |
74
- | 0.4162 | 4.0 | 29 | 0.4877 | 0.7344 |
75
- | 0.4193 | 4.9655 | 36 | 0.4512 | 0.8047 |
76
- | 0.3897 | 5.9310 | 43 | 0.4098 | 0.7969 |
77
- | 0.3605 | 6.8966 | 50 | 0.3844 | 0.7891 |
78
- | 0.3091 | 8.0 | 58 | 0.3819 | 0.8125 |
79
- | 0.3058 | 8.9655 | 65 | 0.3914 | 0.7969 |
80
- | 0.3363 | 9.9310 | 72 | 0.4284 | 0.8125 |
81
- | 0.3077 | 10.8966 | 79 | 0.3902 | 0.8047 |
82
- | 0.2812 | 12.0 | 87 | 0.3666 | 0.8047 |
83
- | 0.2905 | 12.9655 | 94 | 0.3778 | 0.7969 |
84
- | 0.2518 | 13.9310 | 101 | 0.3879 | 0.7969 |
85
- | 0.2326 | 14.8966 | 108 | 0.4155 | 0.7891 |
86
- | 0.2084 | 16.0 | 116 | 0.4968 | 0.7812 |
87
- | 0.194 | 16.9655 | 123 | 0.4423 | 0.7969 |
88
- | 0.1994 | 17.9310 | 130 | 0.4206 | 0.7969 |
89
- | 0.1999 | 18.8966 | 137 | 0.4231 | 0.7734 |
90
- | 0.1818 | 20.0 | 145 | 0.4296 | 0.7891 |
91
- | 0.1941 | 20.9655 | 152 | 0.4669 | 0.7734 |
92
- | 0.1908 | 21.9310 | 159 | 0.5078 | 0.7891 |
93
- | 0.2101 | 22.8966 | 166 | 0.4540 | 0.7969 |
94
- | 0.1483 | 24.0 | 174 | 0.4606 | 0.8125 |
95
- | 0.181 | 24.9655 | 181 | 0.4973 | 0.7969 |
96
- | 0.1744 | 25.9310 | 188 | 0.4852 | 0.8125 |
97
- | 0.1724 | 26.8966 | 195 | 0.5032 | 0.8047 |
98
- | 0.1399 | 28.0 | 203 | 0.5112 | 0.8047 |
99
- | 0.1598 | 28.9655 | 210 | 0.5088 | 0.7969 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
 
101
 
102
  ### Framework versions
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.8203125
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.7560
37
+ - Accuracy: 0.8203
38
 
39
  ## Model description
40
 
 
62
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
63
  - lr_scheduler_type: linear
64
  - lr_scheduler_warmup_ratio: 0.1
65
+ - num_epochs: 50
66
 
67
  ### Training results
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
+ | 0.7243 | 0.9655 | 7 | 0.6272 | 0.7656 |
72
+ | 0.5807 | 1.9310 | 14 | 0.5266 | 0.7812 |
73
+ | 0.556 | 2.8966 | 21 | 0.5086 | 0.7812 |
74
+ | 0.4675 | 4.0 | 29 | 0.4844 | 0.7812 |
75
+ | 0.4992 | 4.9655 | 36 | 0.4664 | 0.7812 |
76
+ | 0.4562 | 5.9310 | 43 | 0.4430 | 0.7344 |
77
+ | 0.4344 | 6.8966 | 50 | 0.4726 | 0.7109 |
78
+ | 0.3778 | 8.0 | 58 | 0.4302 | 0.7656 |
79
+ | 0.3922 | 8.9655 | 65 | 0.4350 | 0.8125 |
80
+ | 0.3864 | 9.9310 | 72 | 0.4259 | 0.7656 |
81
+ | 0.3388 | 10.8966 | 79 | 0.4462 | 0.7656 |
82
+ | 0.3071 | 12.0 | 87 | 0.5272 | 0.7969 |
83
+ | 0.3233 | 12.9655 | 94 | 0.4723 | 0.7188 |
84
+ | 0.3103 | 13.9310 | 101 | 0.4494 | 0.7656 |
85
+ | 0.2818 | 14.8966 | 108 | 0.4279 | 0.8047 |
86
+ | 0.2341 | 16.0 | 116 | 0.4069 | 0.7891 |
87
+ | 0.2103 | 16.9655 | 123 | 0.4237 | 0.7969 |
88
+ | 0.219 | 17.9310 | 130 | 0.4467 | 0.8047 |
89
+ | 0.21 | 18.8966 | 137 | 0.4380 | 0.7812 |
90
+ | 0.1994 | 20.0 | 145 | 0.4629 | 0.7969 |
91
+ | 0.1865 | 20.9655 | 152 | 0.5012 | 0.7891 |
92
+ | 0.1872 | 21.9310 | 159 | 0.5055 | 0.8203 |
93
+ | 0.2144 | 22.8966 | 166 | 0.6089 | 0.8125 |
94
+ | 0.1737 | 24.0 | 174 | 0.4914 | 0.7969 |
95
+ | 0.1633 | 24.9655 | 181 | 0.5137 | 0.7812 |
96
+ | 0.1624 | 25.9310 | 188 | 0.5985 | 0.7812 |
97
+ | 0.1525 | 26.8966 | 195 | 0.5090 | 0.8047 |
98
+ | 0.136 | 28.0 | 203 | 0.5170 | 0.8125 |
99
+ | 0.1451 | 28.9655 | 210 | 0.6165 | 0.8203 |
100
+ | 0.1405 | 29.9310 | 217 | 0.6124 | 0.7969 |
101
+ | 0.1384 | 30.8966 | 224 | 0.5578 | 0.8047 |
102
+ | 0.1246 | 32.0 | 232 | 0.5967 | 0.8125 |
103
+ | 0.1371 | 32.9655 | 239 | 0.6135 | 0.7812 |
104
+ | 0.1111 | 33.9310 | 246 | 0.6878 | 0.8047 |
105
+ | 0.1305 | 34.8966 | 253 | 0.7300 | 0.8125 |
106
+ | 0.1124 | 36.0 | 261 | 0.6687 | 0.8203 |
107
+ | 0.1214 | 36.9655 | 268 | 0.6692 | 0.8047 |
108
+ | 0.1065 | 37.9310 | 275 | 0.7058 | 0.8125 |
109
+ | 0.1183 | 38.8966 | 282 | 0.6884 | 0.7969 |
110
+ | 0.0928 | 40.0 | 290 | 0.7104 | 0.7969 |
111
+ | 0.1248 | 40.9655 | 297 | 0.6961 | 0.7969 |
112
+ | 0.0949 | 41.9310 | 304 | 0.7265 | 0.8203 |
113
+ | 0.1048 | 42.8966 | 311 | 0.7430 | 0.8281 |
114
+ | 0.0887 | 44.0 | 319 | 0.7627 | 0.8047 |
115
+ | 0.0866 | 44.9655 | 326 | 0.7483 | 0.8203 |
116
+ | 0.0978 | 45.9310 | 333 | 0.7515 | 0.8125 |
117
+ | 0.0901 | 46.8966 | 340 | 0.7518 | 0.8125 |
118
+ | 0.0785 | 48.0 | 348 | 0.7557 | 0.8203 |
119
+ | 0.0747 | 48.2759 | 350 | 0.7560 | 0.8203 |
120
 
121
 
122
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:02e61474f4a590a9ce790f610fdfd6a9e18a46857e892e8173368286990d2901
3
  size 110342832
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98f56912f038a15ca073a83a3d8ce21f93c350d8adc366f21ac87489454ac88d
3
  size 110342832