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README.md
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@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.8169
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## Model description
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@@ -67,99 +67,99 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|
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| No log | 0.9231 | 3 | 0.
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| No log | 1.8462 | 6 | 0.
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| No log | 2.7692 | 9 | 0.
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### Framework versions
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.5748
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- Accuracy: 0.8169
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|
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| 70 |
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| No log | 0.9231 | 3 | 0.7145 | 0.5211 |
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| No log | 1.8462 | 6 | 0.7082 | 0.5070 |
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| No log | 2.7692 | 9 | 0.6889 | 0.6056 |
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| 0.6878 | 4.0 | 13 | 0.6703 | 0.6620 |
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| 0.6878 | 4.9231 | 16 | 0.6556 | 0.6761 |
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| 0.6878 | 5.8462 | 19 | 0.6430 | 0.6620 |
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| 0.6203 | 6.7692 | 22 | 0.6250 | 0.6761 |
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| 0.6203 | 8.0 | 26 | 0.7464 | 0.6197 |
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| 0.6203 | 8.9231 | 29 | 0.6647 | 0.6056 |
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| 0.5703 | 9.8462 | 32 | 0.6097 | 0.7042 |
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| 0.5703 | 10.7692 | 35 | 0.6261 | 0.6620 |
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| 0.5703 | 12.0 | 39 | 0.5926 | 0.7042 |
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| 0.5281 | 12.9231 | 42 | 0.5370 | 0.7465 |
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| 0.5281 | 13.8462 | 45 | 0.5638 | 0.7465 |
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| 0.5281 | 14.7692 | 48 | 0.7175 | 0.6056 |
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| 0.4616 | 16.0 | 52 | 0.8917 | 0.5775 |
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| 0.4616 | 16.9231 | 55 | 0.6761 | 0.6761 |
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| 0.4616 | 17.8462 | 58 | 0.5606 | 0.7324 |
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| 0.4943 | 18.7692 | 61 | 0.6963 | 0.6338 |
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| 0.4943 | 20.0 | 65 | 0.6462 | 0.6620 |
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| 0.4943 | 20.9231 | 68 | 0.6246 | 0.7183 |
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| 0.4058 | 21.8462 | 71 | 0.7336 | 0.6620 |
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| 0.4058 | 22.7692 | 74 | 0.6270 | 0.7324 |
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| 0.4058 | 24.0 | 78 | 0.6097 | 0.7183 |
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| 0.3577 | 24.9231 | 81 | 0.6700 | 0.7606 |
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| 0.3577 | 25.8462 | 84 | 0.6676 | 0.7183 |
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| 0.3577 | 26.7692 | 87 | 0.5475 | 0.7887 |
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| 0.2988 | 28.0 | 91 | 0.5383 | 0.8028 |
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| 0.2988 | 28.9231 | 94 | 0.5534 | 0.7183 |
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| 0.2988 | 29.8462 | 97 | 0.5842 | 0.8028 |
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| 0.2595 | 30.7692 | 100 | 0.5965 | 0.7887 |
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| 0.2595 | 32.0 | 104 | 0.6220 | 0.7606 |
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| 0.2595 | 32.9231 | 107 | 0.6027 | 0.7606 |
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| 0.2422 | 33.8462 | 110 | 0.6369 | 0.7183 |
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| 0.2422 | 34.7692 | 113 | 0.6033 | 0.7746 |
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| 0.2422 | 36.0 | 117 | 0.6912 | 0.7324 |
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| 0.1927 | 36.9231 | 120 | 0.6582 | 0.7887 |
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| 0.1927 | 37.8462 | 123 | 0.6320 | 0.7746 |
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| 0.1927 | 38.7692 | 126 | 0.7532 | 0.7606 |
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| 0.2399 | 40.0 | 130 | 0.7909 | 0.7606 |
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| 0.2399 | 40.9231 | 133 | 0.6808 | 0.7465 |
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| 0.2399 | 41.8462 | 136 | 0.5816 | 0.7887 |
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| 0.2399 | 42.7692 | 139 | 0.5474 | 0.7887 |
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| 0.2218 | 44.0 | 143 | 0.6310 | 0.7042 |
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| 0.2218 | 44.9231 | 146 | 0.6453 | 0.8028 |
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| 0.2218 | 45.8462 | 149 | 0.6170 | 0.7887 |
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| 0.1817 | 46.7692 | 152 | 0.6034 | 0.7887 |
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| 0.1817 | 48.0 | 156 | 0.6350 | 0.8310 |
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| 0.1817 | 48.9231 | 159 | 0.6027 | 0.7887 |
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| 0.1483 | 49.8462 | 162 | 0.5599 | 0.8028 |
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| 0.1483 | 50.7692 | 165 | 0.5817 | 0.8310 |
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| 0.1483 | 52.0 | 169 | 0.6086 | 0.7746 |
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| 0.1668 | 52.9231 | 172 | 0.5744 | 0.8169 |
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| 0.1668 | 53.8462 | 175 | 0.6059 | 0.7887 |
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| 0.1668 | 54.7692 | 178 | 0.6455 | 0.7887 |
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| 0.1372 | 56.0 | 182 | 0.5367 | 0.8451 |
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| 0.1372 | 56.9231 | 185 | 0.5615 | 0.8169 |
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| 0.1372 | 57.8462 | 188 | 0.6378 | 0.8028 |
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| 0.1485 | 58.7692 | 191 | 0.5687 | 0.8169 |
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| 0.1485 | 60.0 | 195 | 0.4897 | 0.8169 |
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| 0.1485 | 60.9231 | 198 | 0.4384 | 0.8451 |
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| 0.1426 | 61.8462 | 201 | 0.5087 | 0.7887 |
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| 0.1426 | 62.7692 | 204 | 0.4757 | 0.8169 |
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| 0.1426 | 64.0 | 208 | 0.4373 | 0.8169 |
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| 0.1333 | 64.9231 | 211 | 0.4512 | 0.8169 |
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| 0.1333 | 65.8462 | 214 | 0.4619 | 0.7887 |
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| 0.1333 | 66.7692 | 217 | 0.5520 | 0.8028 |
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| 0.1306 | 68.0 | 221 | 0.5161 | 0.7887 |
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| 0.1306 | 68.9231 | 224 | 0.5180 | 0.7606 |
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| 0.1306 | 69.8462 | 227 | 0.5778 | 0.8028 |
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| 0.1327 | 70.7692 | 230 | 0.5933 | 0.8028 |
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| 0.1327 | 72.0 | 234 | 0.5222 | 0.7887 |
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| 0.1327 | 72.9231 | 237 | 0.5104 | 0.8169 |
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| 0.1171 | 73.8462 | 240 | 0.5024 | 0.8169 |
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| 0.1171 | 74.7692 | 243 | 0.5060 | 0.8028 |
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| 0.1171 | 76.0 | 247 | 0.5267 | 0.7746 |
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| 0.1227 | 76.9231 | 250 | 0.4775 | 0.8169 |
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| 0.1227 | 77.8462 | 253 | 0.5020 | 0.8169 |
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| 0.1227 | 78.7692 | 256 | 0.5243 | 0.7606 |
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| 0.1304 | 80.0 | 260 | 0.6195 | 0.7887 |
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| 0.1304 | 80.9231 | 263 | 0.5740 | 0.7606 |
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| 0.1304 | 81.8462 | 266 | 0.5652 | 0.8169 |
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| 0.1304 | 82.7692 | 269 | 0.5750 | 0.8169 |
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| 0.1152 | 84.0 | 273 | 0.5829 | 0.7887 |
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| 0.1152 | 84.9231 | 276 | 0.5854 | 0.7887 |
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| 0.1152 | 85.8462 | 279 | 0.5854 | 0.7887 |
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| 0.1069 | 86.7692 | 282 | 0.5826 | 0.8028 |
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| 0.1069 | 88.0 | 286 | 0.5839 | 0.7887 |
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| 0.1069 | 88.9231 | 289 | 0.5792 | 0.8169 |
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| 0.122 | 89.8462 | 292 | 0.5755 | 0.8169 |
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| 0.122 | 90.7692 | 295 | 0.5751 | 0.8169 |
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| 0.122 | 92.0 | 299 | 0.5748 | 0.8169 |
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| 0.1268 | 92.3077 | 300 | 0.5748 | 0.8169 |
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### Framework versions
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model.safetensors
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runs/May22_07-20-17_defc3061f818/events.out.tfevents.1716362418.defc3061f818.1801.5
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