Hugging Face's logo

BilalMuftuoglu
/
deit-base-distilled-patch16-224-65-fold4

Image Classification
Transformers
TensorBoard
Safetensors
deit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
BilalMuftuoglu commited on
Commit
97a8e52
·
verified ·
1 Parent(s): d9dd28d

Model save

Browse files
Files changed (3) hide show
  1. README.md +94 -94
  2. model.safetensors +1 -1
  3. runs/May22_07-20-17_defc3061f818/events.out.tfevents.1716362418.defc3061f818.1801.5 +2 -2
README.md CHANGED
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.7218
36
  - Accuracy: 0.8169
37
 
38
  ## Model description
@@ -67,99 +67,99 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
70
- | No log | 0.9231 | 3 | 0.7266 | 0.4648 |
71
- | No log | 1.8462 | 6 | 0.8116 | 0.5211 |
72
- | No log | 2.7692 | 9 | 0.7081 | 0.4648 |
73
- | 0.7173 | 4.0 | 13 | 0.6645 | 0.5634 |
74
- | 0.7173 | 4.9231 | 16 | 0.6441 | 0.5915 |
75
- | 0.7173 | 5.8462 | 19 | 0.6400 | 0.6761 |
76
- | 0.6351 | 6.7692 | 22 | 0.6055 | 0.6620 |
77
- | 0.6351 | 8.0 | 26 | 0.7770 | 0.5352 |
78
- | 0.6351 | 8.9231 | 29 | 0.6259 | 0.6901 |
79
- | 0.5434 | 9.8462 | 32 | 0.5889 | 0.7183 |
80
- | 0.5434 | 10.7692 | 35 | 0.7283 | 0.6479 |
81
- | 0.5434 | 12.0 | 39 | 0.6898 | 0.6479 |
82
- | 0.4861 | 12.9231 | 42 | 0.6429 | 0.7183 |
83
- | 0.4861 | 13.8462 | 45 | 0.6915 | 0.6620 |
84
- | 0.4861 | 14.7692 | 48 | 0.5702 | 0.7183 |
85
- | 0.4285 | 16.0 | 52 | 0.6356 | 0.7042 |
86
- | 0.4285 | 16.9231 | 55 | 0.6981 | 0.6761 |
87
- | 0.4285 | 17.8462 | 58 | 0.5218 | 0.7183 |
88
- | 0.3781 | 18.7692 | 61 | 0.5340 | 0.7183 |
89
- | 0.3781 | 20.0 | 65 | 0.7611 | 0.6761 |
90
- | 0.3781 | 20.9231 | 68 | 0.5939 | 0.7465 |
91
- | 0.3516 | 21.8462 | 71 | 0.6186 | 0.7887 |
92
- | 0.3516 | 22.7692 | 74 | 0.7122 | 0.7042 |
93
- | 0.3516 | 24.0 | 78 | 0.5931 | 0.7887 |
94
- | 0.296 | 24.9231 | 81 | 0.6305 | 0.6901 |
95
- | 0.296 | 25.8462 | 84 | 0.8947 | 0.7042 |
96
- | 0.296 | 26.7692 | 87 | 0.6217 | 0.7183 |
97
- | 0.2741 | 28.0 | 91 | 0.7218 | 0.8169 |
98
- | 0.2741 | 28.9231 | 94 | 0.6687 | 0.7887 |
99
- | 0.2741 | 29.8462 | 97 | 0.6648 | 0.8028 |
100
- | 0.2559 | 30.7692 | 100 | 0.6433 | 0.7746 |
101
- | 0.2559 | 32.0 | 104 | 0.6674 | 0.7324 |
102
- | 0.2559 | 32.9231 | 107 | 0.6643 | 0.7465 |
103
- | 0.2001 | 33.8462 | 110 | 0.6247 | 0.7465 |
104
- | 0.2001 | 34.7692 | 113 | 0.6344 | 0.6901 |
105
- | 0.2001 | 36.0 | 117 | 0.7072 | 0.7606 |
106
- | 0.1728 | 36.9231 | 120 | 0.7146 | 0.7465 |
107
- | 0.1728 | 37.8462 | 123 | 0.8212 | 0.7606 |
108
- | 0.1728 | 38.7692 | 126 | 0.7901 | 0.7324 |
109
- | 0.2109 | 40.0 | 130 | 0.8235 | 0.7465 |
110
- | 0.2109 | 40.9231 | 133 | 0.9196 | 0.6901 |
111
- | 0.2109 | 41.8462 | 136 | 0.7758 | 0.7606 |
112
- | 0.2109 | 42.7692 | 139 | 0.7692 | 0.7183 |
113
- | 0.1634 | 44.0 | 143 | 0.8310 | 0.7606 |
114
- | 0.1634 | 44.9231 | 146 | 0.7550 | 0.7465 |
115
- | 0.1634 | 45.8462 | 149 | 0.7646 | 0.7324 |
116
- | 0.148 | 46.7692 | 152 | 0.7208 | 0.7606 |
117
- | 0.148 | 48.0 | 156 | 0.7324 | 0.7606 |
118
- | 0.148 | 48.9231 | 159 | 0.7856 | 0.7606 |
119
- | 0.1568 | 49.8462 | 162 | 0.8033 | 0.7606 |
120
- | 0.1568 | 50.7692 | 165 | 0.9007 | 0.7746 |
121
- | 0.1568 | 52.0 | 169 | 0.8179 | 0.7606 |
122
- | 0.1659 | 52.9231 | 172 | 0.7775 | 0.7606 |
123
- | 0.1659 | 53.8462 | 175 | 0.7214 | 0.7606 |
124
- | 0.1659 | 54.7692 | 178 | 0.7385 | 0.7465 |
125
- | 0.1352 | 56.0 | 182 | 0.7434 | 0.7465 |
126
- | 0.1352 | 56.9231 | 185 | 0.8971 | 0.7042 |
127
- | 0.1352 | 57.8462 | 188 | 0.7821 | 0.7606 |
128
- | 0.1309 | 58.7692 | 191 | 0.7896 | 0.7465 |
129
- | 0.1309 | 60.0 | 195 | 0.8340 | 0.7465 |
130
- | 0.1309 | 60.9231 | 198 | 0.8154 | 0.7746 |
131
- | 0.1201 | 61.8462 | 201 | 0.8185 | 0.7606 |
132
- | 0.1201 | 62.7692 | 204 | 0.9640 | 0.7183 |
133
- | 0.1201 | 64.0 | 208 | 0.8485 | 0.7606 |
134
- | 0.1291 | 64.9231 | 211 | 0.8807 | 0.7324 |
135
- | 0.1291 | 65.8462 | 214 | 0.8653 | 0.7183 |
136
- | 0.1291 | 66.7692 | 217 | 0.8744 | 0.7324 |
137
- | 0.124 | 68.0 | 221 | 0.8723 | 0.7324 |
138
- | 0.124 | 68.9231 | 224 | 0.8948 | 0.7606 |
139
- | 0.124 | 69.8462 | 227 | 0.9777 | 0.7183 |
140
- | 0.1262 | 70.7692 | 230 | 0.9409 | 0.7746 |
141
- | 0.1262 | 72.0 | 234 | 0.9618 | 0.7465 |
142
- | 0.1262 | 72.9231 | 237 | 0.9642 | 0.7606 |
143
- | 0.1036 | 73.8462 | 240 | 0.9738 | 0.7465 |
144
- | 0.1036 | 74.7692 | 243 | 0.9788 | 0.7324 |
145
- | 0.1036 | 76.0 | 247 | 1.0114 | 0.7465 |
146
- | 0.1183 | 76.9231 | 250 | 1.0004 | 0.7465 |
147
- | 0.1183 | 77.8462 | 253 | 1.0407 | 0.7465 |
148
- | 0.1183 | 78.7692 | 256 | 1.1510 | 0.7324 |
149
- | 0.0981 | 80.0 | 260 | 1.0718 | 0.7465 |
150
- | 0.0981 | 80.9231 | 263 | 0.9988 | 0.7324 |
151
- | 0.0981 | 81.8462 | 266 | 1.0054 | 0.7042 |
152
- | 0.0981 | 82.7692 | 269 | 0.9896 | 0.7324 |
153
- | 0.106 | 84.0 | 273 | 0.9851 | 0.7324 |
154
- | 0.106 | 84.9231 | 276 | 0.9770 | 0.7465 |
155
- | 0.106 | 85.8462 | 279 | 0.9623 | 0.7183 |
156
- | 0.114 | 86.7692 | 282 | 0.9664 | 0.7042 |
157
- | 0.114 | 88.0 | 286 | 0.9780 | 0.7042 |
158
- | 0.114 | 88.9231 | 289 | 0.9670 | 0.7183 |
159
- | 0.1157 | 89.8462 | 292 | 0.9586 | 0.7324 |
160
- | 0.1157 | 90.7692 | 295 | 0.9587 | 0.7183 |
161
- | 0.1157 | 92.0 | 299 | 0.9611 | 0.7042 |
162
- | 0.0834 | 92.3077 | 300 | 0.9612 | 0.7042 |
163
 
164
 
165
  ### Framework versions
 
32
 
33
  This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.5748
36
  - Accuracy: 0.8169
37
 
38
  ## Model description
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
70
+ | No log | 0.9231 | 3 | 0.7145 | 0.5211 |
71
+ | No log | 1.8462 | 6 | 0.7082 | 0.5070 |
72
+ | No log | 2.7692 | 9 | 0.6889 | 0.6056 |
73
+ | 0.6878 | 4.0 | 13 | 0.6703 | 0.6620 |
74
+ | 0.6878 | 4.9231 | 16 | 0.6556 | 0.6761 |
75
+ | 0.6878 | 5.8462 | 19 | 0.6430 | 0.6620 |
76
+ | 0.6203 | 6.7692 | 22 | 0.6250 | 0.6761 |
77
+ | 0.6203 | 8.0 | 26 | 0.7464 | 0.6197 |
78
+ | 0.6203 | 8.9231 | 29 | 0.6647 | 0.6056 |
79
+ | 0.5703 | 9.8462 | 32 | 0.6097 | 0.7042 |
80
+ | 0.5703 | 10.7692 | 35 | 0.6261 | 0.6620 |
81
+ | 0.5703 | 12.0 | 39 | 0.5926 | 0.7042 |
82
+ | 0.5281 | 12.9231 | 42 | 0.5370 | 0.7465 |
83
+ | 0.5281 | 13.8462 | 45 | 0.5638 | 0.7465 |
84
+ | 0.5281 | 14.7692 | 48 | 0.7175 | 0.6056 |
85
+ | 0.4616 | 16.0 | 52 | 0.8917 | 0.5775 |
86
+ | 0.4616 | 16.9231 | 55 | 0.6761 | 0.6761 |
87
+ | 0.4616 | 17.8462 | 58 | 0.5606 | 0.7324 |
88
+ | 0.4943 | 18.7692 | 61 | 0.6963 | 0.6338 |
89
+ | 0.4943 | 20.0 | 65 | 0.6462 | 0.6620 |
90
+ | 0.4943 | 20.9231 | 68 | 0.6246 | 0.7183 |
91
+ | 0.4058 | 21.8462 | 71 | 0.7336 | 0.6620 |
92
+ | 0.4058 | 22.7692 | 74 | 0.6270 | 0.7324 |
93
+ | 0.4058 | 24.0 | 78 | 0.6097 | 0.7183 |
94
+ | 0.3577 | 24.9231 | 81 | 0.6700 | 0.7606 |
95
+ | 0.3577 | 25.8462 | 84 | 0.6676 | 0.7183 |
96
+ | 0.3577 | 26.7692 | 87 | 0.5475 | 0.7887 |
97
+ | 0.2988 | 28.0 | 91 | 0.5383 | 0.8028 |
98
+ | 0.2988 | 28.9231 | 94 | 0.5534 | 0.7183 |
99
+ | 0.2988 | 29.8462 | 97 | 0.5842 | 0.8028 |
100
+ | 0.2595 | 30.7692 | 100 | 0.5965 | 0.7887 |
101
+ | 0.2595 | 32.0 | 104 | 0.6220 | 0.7606 |
102
+ | 0.2595 | 32.9231 | 107 | 0.6027 | 0.7606 |
103
+ | 0.2422 | 33.8462 | 110 | 0.6369 | 0.7183 |
104
+ | 0.2422 | 34.7692 | 113 | 0.6033 | 0.7746 |
105
+ | 0.2422 | 36.0 | 117 | 0.6912 | 0.7324 |
106
+ | 0.1927 | 36.9231 | 120 | 0.6582 | 0.7887 |
107
+ | 0.1927 | 37.8462 | 123 | 0.6320 | 0.7746 |
108
+ | 0.1927 | 38.7692 | 126 | 0.7532 | 0.7606 |
109
+ | 0.2399 | 40.0 | 130 | 0.7909 | 0.7606 |
110
+ | 0.2399 | 40.9231 | 133 | 0.6808 | 0.7465 |
111
+ | 0.2399 | 41.8462 | 136 | 0.5816 | 0.7887 |
112
+ | 0.2399 | 42.7692 | 139 | 0.5474 | 0.7887 |
113
+ | 0.2218 | 44.0 | 143 | 0.6310 | 0.7042 |
114
+ | 0.2218 | 44.9231 | 146 | 0.6453 | 0.8028 |
115
+ | 0.2218 | 45.8462 | 149 | 0.6170 | 0.7887 |
116
+ | 0.1817 | 46.7692 | 152 | 0.6034 | 0.7887 |
117
+ | 0.1817 | 48.0 | 156 | 0.6350 | 0.8310 |
118
+ | 0.1817 | 48.9231 | 159 | 0.6027 | 0.7887 |
119
+ | 0.1483 | 49.8462 | 162 | 0.5599 | 0.8028 |
120
+ | 0.1483 | 50.7692 | 165 | 0.5817 | 0.8310 |
121
+ | 0.1483 | 52.0 | 169 | 0.6086 | 0.7746 |
122
+ | 0.1668 | 52.9231 | 172 | 0.5744 | 0.8169 |
123
+ | 0.1668 | 53.8462 | 175 | 0.6059 | 0.7887 |
124
+ | 0.1668 | 54.7692 | 178 | 0.6455 | 0.7887 |
125
+ | 0.1372 | 56.0 | 182 | 0.5367 | 0.8451 |
126
+ | 0.1372 | 56.9231 | 185 | 0.5615 | 0.8169 |
127
+ | 0.1372 | 57.8462 | 188 | 0.6378 | 0.8028 |
128
+ | 0.1485 | 58.7692 | 191 | 0.5687 | 0.8169 |
129
+ | 0.1485 | 60.0 | 195 | 0.4897 | 0.8169 |
130
+ | 0.1485 | 60.9231 | 198 | 0.4384 | 0.8451 |
131
+ | 0.1426 | 61.8462 | 201 | 0.5087 | 0.7887 |
132
+ | 0.1426 | 62.7692 | 204 | 0.4757 | 0.8169 |
133
+ | 0.1426 | 64.0 | 208 | 0.4373 | 0.8169 |
134
+ | 0.1333 | 64.9231 | 211 | 0.4512 | 0.8169 |
135
+ | 0.1333 | 65.8462 | 214 | 0.4619 | 0.7887 |
136
+ | 0.1333 | 66.7692 | 217 | 0.5520 | 0.8028 |
137
+ | 0.1306 | 68.0 | 221 | 0.5161 | 0.7887 |
138
+ | 0.1306 | 68.9231 | 224 | 0.5180 | 0.7606 |
139
+ | 0.1306 | 69.8462 | 227 | 0.5778 | 0.8028 |
140
+ | 0.1327 | 70.7692 | 230 | 0.5933 | 0.8028 |
141
+ | 0.1327 | 72.0 | 234 | 0.5222 | 0.7887 |
142
+ | 0.1327 | 72.9231 | 237 | 0.5104 | 0.8169 |
143
+ | 0.1171 | 73.8462 | 240 | 0.5024 | 0.8169 |
144
+ | 0.1171 | 74.7692 | 243 | 0.5060 | 0.8028 |
145
+ | 0.1171 | 76.0 | 247 | 0.5267 | 0.7746 |
146
+ | 0.1227 | 76.9231 | 250 | 0.4775 | 0.8169 |
147
+ | 0.1227 | 77.8462 | 253 | 0.5020 | 0.8169 |
148
+ | 0.1227 | 78.7692 | 256 | 0.5243 | 0.7606 |
149
+ | 0.1304 | 80.0 | 260 | 0.6195 | 0.7887 |
150
+ | 0.1304 | 80.9231 | 263 | 0.5740 | 0.7606 |
151
+ | 0.1304 | 81.8462 | 266 | 0.5652 | 0.8169 |
152
+ | 0.1304 | 82.7692 | 269 | 0.5750 | 0.8169 |
153
+ | 0.1152 | 84.0 | 273 | 0.5829 | 0.7887 |
154
+ | 0.1152 | 84.9231 | 276 | 0.5854 | 0.7887 |
155
+ | 0.1152 | 85.8462 | 279 | 0.5854 | 0.7887 |
156
+ | 0.1069 | 86.7692 | 282 | 0.5826 | 0.8028 |
157
+ | 0.1069 | 88.0 | 286 | 0.5839 | 0.7887 |
158
+ | 0.1069 | 88.9231 | 289 | 0.5792 | 0.8169 |
159
+ | 0.122 | 89.8462 | 292 | 0.5755 | 0.8169 |
160
+ | 0.122 | 90.7692 | 295 | 0.5751 | 0.8169 |
161
+ | 0.122 | 92.0 | 299 | 0.5748 | 0.8169 |
162
+ | 0.1268 | 92.3077 | 300 | 0.5748 | 0.8169 |
163
 
164
 
165
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:82dd06543816fe317fe6e30084a8109e048b56664efee39b0689136365b4e832
3
  size 343230408
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d602e7047c5e5ffdf36c4cd6f3a73135ce44ce151f3d79e49cb1ed45f89237b4
3
  size 343230408
runs/May22_07-20-17_defc3061f818/events.out.tfevents.1716362418.defc3061f818.1801.5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6c039b1f7695ac4f2f83490fb6568a46f3e7485fb907d5b4b4218fb63fdaf7c0
3
- size 40464
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5b8df1ebc74f52489f218790151fec956a0ad12957c095df2a6fea3f360fe72
3
+ size 41352