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  1. README.md +18 -28
  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: 0.2291
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- - Accuracy: 0.9262
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  ## Model description
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@@ -47,37 +47,27 @@ 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: 25
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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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- | 1.2609 | 1.0 | 6 | 0.9906 | 0.6779 |
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- | 0.8038 | 2.0 | 12 | 0.6710 | 0.7718 |
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- | 0.7211 | 3.0 | 18 | 0.5718 | 0.7785 |
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- | 0.5931 | 4.0 | 24 | 0.4404 | 0.8255 |
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- | 0.4773 | 5.0 | 30 | 0.3184 | 0.8859 |
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- | 0.4233 | 6.0 | 36 | 0.2672 | 0.9396 |
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- | 0.3331 | 7.0 | 42 | 0.2489 | 0.9262 |
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- | 0.2819 | 8.0 | 48 | 0.2307 | 0.9396 |
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- | 0.2437 | 9.0 | 54 | 0.2180 | 0.9262 |
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- | 0.2231 | 10.0 | 60 | 0.2301 | 0.9128 |
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- | 0.2023 | 11.0 | 66 | 0.1972 | 0.9262 |
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- | 0.1873 | 12.0 | 72 | 0.2396 | 0.9128 |
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- | 0.1627 | 13.0 | 78 | 0.1933 | 0.9262 |
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- | 0.1372 | 14.0 | 84 | 0.2708 | 0.9195 |
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- | 0.1559 | 15.0 | 90 | 0.2443 | 0.9128 |
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- | 0.1455 | 16.0 | 96 | 0.2369 | 0.9195 |
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- | 0.1064 | 17.0 | 102 | 0.2470 | 0.9128 |
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- | 0.1152 | 18.0 | 108 | 0.2397 | 0.9128 |
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- | 0.0994 | 19.0 | 114 | 0.2626 | 0.9128 |
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- | 0.1046 | 20.0 | 120 | 0.2738 | 0.9195 |
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- | 0.1056 | 21.0 | 126 | 0.2384 | 0.9195 |
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- | 0.0902 | 22.0 | 132 | 0.2373 | 0.9195 |
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- | 0.0735 | 23.0 | 138 | 0.2268 | 0.9329 |
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- | 0.096 | 24.0 | 144 | 0.2240 | 0.9329 |
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- | 0.1087 | 25.0 | 150 | 0.2291 | 0.9262 |
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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: 0.2419
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+ - Accuracy: 0.9128
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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: 15
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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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+ | 0.9242 | 1.0 | 6 | 0.6591 | 0.7718 |
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+ | 0.7186 | 2.0 | 12 | 0.5852 | 0.7718 |
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+ | 0.6095 | 3.0 | 18 | 0.4459 | 0.7987 |
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+ | 0.5028 | 4.0 | 24 | 0.3204 | 0.8993 |
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+ | 0.3767 | 5.0 | 30 | 0.2655 | 0.9128 |
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+ | 0.4142 | 6.0 | 36 | 0.2311 | 0.9329 |
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+ | 0.2876 | 7.0 | 42 | 0.2287 | 0.9262 |
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+ | 0.2449 | 8.0 | 48 | 0.2230 | 0.9262 |
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+ | 0.2452 | 9.0 | 54 | 0.2473 | 0.9128 |
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+ | 0.2275 | 10.0 | 60 | 0.2200 | 0.9396 |
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+ | 0.1965 | 11.0 | 66 | 0.2412 | 0.9195 |
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+ | 0.2068 | 12.0 | 72 | 0.2313 | 0.9195 |
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+ | 0.1777 | 13.0 | 78 | 0.2334 | 0.9195 |
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+ | 0.1509 | 14.0 | 84 | 0.2397 | 0.9195 |
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+ | 0.1628 | 15.0 | 90 | 0.2419 | 0.9128 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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