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  1. README.md +38 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1935
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- - Accuracy: 0.6306
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  ## Model description
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@@ -47,17 +47,47 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.4881 | 1.0 | 19 | 2.0771 | 0.3433 |
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- | 1.8506 | 2.0 | 38 | 1.6409 | 0.4627 |
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- | 1.5334 | 3.0 | 57 | 1.3730 | 0.5709 |
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- | 1.3096 | 4.0 | 76 | 1.2281 | 0.6045 |
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- | 1.2162 | 5.0 | 95 | 1.1935 | 0.6306 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2446
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+ - Accuracy: 0.9291
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 35
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.6739 | 1.0 | 19 | 2.4239 | 0.1978 |
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+ | 2.2793 | 2.0 | 38 | 2.1011 | 0.3619 |
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+ | 1.9273 | 3.0 | 57 | 1.6876 | 0.4963 |
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+ | 1.5549 | 4.0 | 76 | 1.3626 | 0.5709 |
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+ | 1.2386 | 5.0 | 95 | 1.1268 | 0.6269 |
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+ | 1.1004 | 6.0 | 114 | 0.9445 | 0.7015 |
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+ | 0.9008 | 7.0 | 133 | 0.8701 | 0.7313 |
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+ | 0.8023 | 8.0 | 152 | 0.7917 | 0.7425 |
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+ | 0.6566 | 9.0 | 171 | 0.6990 | 0.7612 |
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+ | 0.6691 | 10.0 | 190 | 0.6204 | 0.7985 |
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+ | 0.5605 | 11.0 | 209 | 0.5511 | 0.8321 |
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+ | 0.5472 | 12.0 | 228 | 0.4945 | 0.8358 |
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+ | 0.5098 | 13.0 | 247 | 0.4302 | 0.8619 |
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+ | 0.4362 | 14.0 | 266 | 0.4027 | 0.8843 |
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+ | 0.416 | 15.0 | 285 | 0.3956 | 0.8657 |
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+ | 0.4095 | 16.0 | 304 | 0.3605 | 0.8881 |
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+ | 0.3577 | 17.0 | 323 | 0.3339 | 0.8918 |
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+ | 0.3624 | 18.0 | 342 | 0.3883 | 0.8694 |
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+ | 0.304 | 19.0 | 361 | 0.3496 | 0.8769 |
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+ | 0.2784 | 20.0 | 380 | 0.3275 | 0.8806 |
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+ | 0.2763 | 21.0 | 399 | 0.3721 | 0.8806 |
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+ | 0.2824 | 22.0 | 418 | 0.3156 | 0.8955 |
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+ | 0.2453 | 23.0 | 437 | 0.3155 | 0.8843 |
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+ | 0.2438 | 24.0 | 456 | 0.2928 | 0.9030 |
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+ | 0.2285 | 25.0 | 475 | 0.2667 | 0.9216 |
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+ | 0.2478 | 26.0 | 494 | 0.2816 | 0.9142 |
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+ | 0.2242 | 27.0 | 513 | 0.2768 | 0.8993 |
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+ | 0.2 | 28.0 | 532 | 0.2815 | 0.9142 |
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+ | 0.2076 | 29.0 | 551 | 0.2443 | 0.9216 |
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+ | 0.1978 | 30.0 | 570 | 0.2381 | 0.9216 |
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+ | 0.1821 | 31.0 | 589 | 0.2563 | 0.9216 |
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+ | 0.1786 | 32.0 | 608 | 0.2449 | 0.9254 |
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+ | 0.1809 | 33.0 | 627 | 0.2385 | 0.9328 |
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+ | 0.1812 | 34.0 | 646 | 0.2448 | 0.9291 |
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+ | 0.1688 | 35.0 | 665 | 0.2446 | 0.9291 |
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  ### Framework versions
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