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DiegoBraz
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swin-tiny-patch4-window7-224-finetuned-eurosat

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  1. README.md +49 -49
  2. runs/Sep19_07-20-52_6ebaceb369b5/events.out.tfevents.1726730454.6ebaceb369b5.376.2 +2 -2
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8909090909090909
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  ---
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  <!-- 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. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3813
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- - Accuracy: 0.8909
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  ## Model description
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@@ -68,52 +68,52 @@ 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 | 0.9032 | 7 | 2.3655 | 0.1455 |
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- | 2.396 | 1.9355 | 15 | 2.2806 | 0.2 |
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- | 2.3064 | 2.9677 | 23 | 2.1057 | 0.3727 |
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- | 2.0698 | 4.0 | 31 | 1.7731 | 0.5636 |
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- | 2.0698 | 4.9032 | 38 | 1.3060 | 0.6182 |
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- | 1.5736 | 5.9355 | 46 | 0.8939 | 0.7182 |
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- | 0.9943 | 6.9677 | 54 | 0.7154 | 0.7909 |
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- | 0.8023 | 8.0 | 62 | 0.6640 | 0.7727 |
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- | 0.8023 | 8.9032 | 69 | 0.5833 | 0.7818 |
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- | 0.5882 | 9.9355 | 77 | 0.5443 | 0.8091 |
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- | 0.5332 | 10.9677 | 85 | 0.5864 | 0.7909 |
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- | 0.4483 | 12.0 | 93 | 0.4938 | 0.8273 |
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- | 0.378 | 12.9032 | 100 | 0.4696 | 0.8364 |
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- | 0.378 | 13.9355 | 108 | 0.4419 | 0.8545 |
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- | 0.3461 | 14.9677 | 116 | 0.4350 | 0.8636 |
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- | 0.333 | 16.0 | 124 | 0.4285 | 0.8727 |
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- | 0.2771 | 16.9032 | 131 | 0.4151 | 0.8636 |
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- | 0.2771 | 17.9355 | 139 | 0.3938 | 0.8818 |
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- | 0.2791 | 18.9677 | 147 | 0.3853 | 0.8818 |
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- | 0.2939 | 20.0 | 155 | 0.4061 | 0.8636 |
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- | 0.2651 | 20.9032 | 162 | 0.4434 | 0.8545 |
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- | 0.2462 | 21.9355 | 170 | 0.3813 | 0.8909 |
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- | 0.2462 | 22.9677 | 178 | 0.4007 | 0.8818 |
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- | 0.2277 | 24.0 | 186 | 0.3784 | 0.8727 |
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- | 0.2289 | 24.9032 | 193 | 0.3682 | 0.8636 |
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- | 0.2518 | 25.9355 | 201 | 0.4235 | 0.8636 |
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- | 0.2518 | 26.9677 | 209 | 0.4013 | 0.8727 |
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- | 0.1961 | 28.0 | 217 | 0.3705 | 0.8727 |
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- | 0.2316 | 28.9032 | 224 | 0.3901 | 0.8727 |
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- | 0.1802 | 29.9355 | 232 | 0.4017 | 0.8636 |
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- | 0.1711 | 30.9677 | 240 | 0.4080 | 0.8455 |
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- | 0.1711 | 32.0 | 248 | 0.3773 | 0.8636 |
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- | 0.1885 | 32.9032 | 255 | 0.3669 | 0.8727 |
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- | 0.1784 | 33.9355 | 263 | 0.4084 | 0.8636 |
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- | 0.18 | 34.9677 | 271 | 0.4206 | 0.8636 |
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- | 0.18 | 36.0 | 279 | 0.4106 | 0.8636 |
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- | 0.1752 | 36.9032 | 286 | 0.4133 | 0.8727 |
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- | 0.1778 | 37.9355 | 294 | 0.4184 | 0.8727 |
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- | 0.1633 | 38.9677 | 302 | 0.4236 | 0.8636 |
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- | 0.1621 | 40.0 | 310 | 0.4168 | 0.8727 |
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- | 0.1621 | 40.9032 | 317 | 0.4187 | 0.8727 |
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- | 0.1497 | 41.9355 | 325 | 0.4140 | 0.8727 |
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- | 0.1434 | 42.9677 | 333 | 0.4118 | 0.8909 |
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- | 0.1802 | 44.0 | 341 | 0.4125 | 0.8818 |
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- | 0.1802 | 44.9032 | 348 | 0.4124 | 0.8727 |
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- | 0.1576 | 45.1613 | 350 | 0.4122 | 0.8727 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8727272727272727
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4382
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+ - Accuracy: 0.8727
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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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+ | No log | 0.9032 | 7 | 2.3727 | 0.2 |
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+ | 2.3966 | 1.9355 | 15 | 2.2910 | 0.3182 |
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+ | 2.3131 | 2.9677 | 23 | 2.1218 | 0.4091 |
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+ | 2.072 | 4.0 | 31 | 1.8349 | 0.4545 |
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+ | 2.072 | 4.9032 | 38 | 1.4635 | 0.5364 |
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+ | 1.5528 | 5.9355 | 46 | 1.1036 | 0.6636 |
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+ | 1.0472 | 6.9677 | 54 | 0.9273 | 0.7273 |
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+ | 0.7989 | 8.0 | 62 | 0.8008 | 0.7909 |
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+ | 0.7989 | 8.9032 | 69 | 0.7359 | 0.7818 |
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+ | 0.604 | 9.9355 | 77 | 0.7283 | 0.7909 |
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+ | 0.5228 | 10.9677 | 85 | 0.5897 | 0.8364 |
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+ | 0.4734 | 12.0 | 93 | 0.6503 | 0.8182 |
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+ | 0.3987 | 12.9032 | 100 | 0.5785 | 0.8273 |
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+ | 0.3987 | 13.9355 | 108 | 0.6091 | 0.8182 |
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+ | 0.3742 | 14.9677 | 116 | 0.5278 | 0.8455 |
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+ | 0.3588 | 16.0 | 124 | 0.5279 | 0.8545 |
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+ | 0.3536 | 16.9032 | 131 | 0.5189 | 0.8364 |
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+ | 0.3536 | 17.9355 | 139 | 0.5036 | 0.8545 |
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+ | 0.331 | 18.9677 | 147 | 0.5327 | 0.8364 |
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+ | 0.2836 | 20.0 | 155 | 0.4717 | 0.8636 |
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+ | 0.2785 | 20.9032 | 162 | 0.4598 | 0.8545 |
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+ | 0.2439 | 21.9355 | 170 | 0.4783 | 0.8545 |
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+ | 0.2439 | 22.9677 | 178 | 0.4948 | 0.8545 |
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+ | 0.2779 | 24.0 | 186 | 0.4884 | 0.8455 |
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+ | 0.2167 | 24.9032 | 193 | 0.5084 | 0.8545 |
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+ | 0.2164 | 25.9355 | 201 | 0.4715 | 0.8545 |
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+ | 0.2164 | 26.9677 | 209 | 0.5503 | 0.8273 |
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+ | 0.2342 | 28.0 | 217 | 0.4980 | 0.8273 |
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+ | 0.216 | 28.9032 | 224 | 0.4241 | 0.8545 |
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+ | 0.1986 | 29.9355 | 232 | 0.4466 | 0.8545 |
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+ | 0.1919 | 30.9677 | 240 | 0.4558 | 0.8636 |
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+ | 0.1919 | 32.0 | 248 | 0.4390 | 0.8636 |
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+ | 0.1958 | 32.9032 | 255 | 0.4379 | 0.8545 |
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+ | 0.1693 | 33.9355 | 263 | 0.4424 | 0.8455 |
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+ | 0.2158 | 34.9677 | 271 | 0.4524 | 0.8364 |
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+ | 0.2158 | 36.0 | 279 | 0.4388 | 0.8545 |
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+ | 0.1578 | 36.9032 | 286 | 0.4327 | 0.8545 |
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+ | 0.1866 | 37.9355 | 294 | 0.4528 | 0.8455 |
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+ | 0.1664 | 38.9677 | 302 | 0.4533 | 0.8455 |
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+ | 0.1757 | 40.0 | 310 | 0.4492 | 0.8545 |
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+ | 0.1757 | 40.9032 | 317 | 0.4418 | 0.8636 |
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+ | 0.1542 | 41.9355 | 325 | 0.4412 | 0.8636 |
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+ | 0.144 | 42.9677 | 333 | 0.4438 | 0.8545 |
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+ | 0.1647 | 44.0 | 341 | 0.4411 | 0.8636 |
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+ | 0.1647 | 44.9032 | 348 | 0.4383 | 0.8636 |
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+ | 0.1418 | 45.1613 | 350 | 0.4382 | 0.8727 |
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  ### Framework versions
runs/Sep19_07-20-52_6ebaceb369b5/events.out.tfevents.1726730454.6ebaceb369b5.376.2 CHANGED
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