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RohanK447
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swin-tiny-patch4-window7-224-finetuned-vosap

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update model card README.md

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  1. README.md +21 -21
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@@ -31,7 +31,7 @@ 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: 0.5813
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  - Accuracy: 0.5
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  ## Model description
@@ -66,26 +66,26 @@ 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 | 1.0 | 1 | 0.6077 | 0.5 |
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- | No log | 2.0 | 2 | 0.5957 | 0.5 |
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- | No log | 3.0 | 3 | 0.6554 | 0.5 |
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- | No log | 4.0 | 4 | 0.7486 | 0.25 |
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- | No log | 5.0 | 5 | 0.8207 | 0.25 |
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- | No log | 6.0 | 6 | 0.8213 | 0.25 |
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- | No log | 7.0 | 7 | 0.7957 | 0.5 |
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- | No log | 8.0 | 8 | 0.7098 | 0.5 |
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- | No log | 9.0 | 9 | 0.6372 | 0.5 |
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- | 0.2113 | 10.0 | 10 | 0.5358 | 0.5 |
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- | 0.2113 | 11.0 | 11 | 0.4894 | 0.75 |
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- | 0.2113 | 12.0 | 12 | 0.4507 | 0.75 |
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- | 0.2113 | 13.0 | 13 | 0.4311 | 0.75 |
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- | 0.2113 | 14.0 | 14 | 0.4339 | 0.75 |
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- | 0.2113 | 15.0 | 15 | 0.4600 | 0.75 |
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- | 0.2113 | 16.0 | 16 | 0.4982 | 0.5 |
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- | 0.2113 | 17.0 | 17 | 0.5299 | 0.5 |
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- | 0.2113 | 18.0 | 18 | 0.5602 | 0.5 |
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- | 0.2113 | 19.0 | 19 | 0.5777 | 0.5 |
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- | 0.0955 | 20.0 | 20 | 0.5813 | 0.5 |
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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 the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6222
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  - Accuracy: 0.5
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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 | 1.0 | 1 | 0.4894 | 0.75 |
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+ | No log | 2.0 | 2 | 0.5365 | 0.5 |
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+ | No log | 3.0 | 3 | 0.6957 | 0.5 |
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+ | No log | 4.0 | 4 | 0.6781 | 0.5 |
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+ | No log | 5.0 | 5 | 0.5617 | 0.5 |
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+ | No log | 6.0 | 6 | 0.4461 | 0.75 |
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+ | No log | 7.0 | 7 | 0.3368 | 0.75 |
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+ | No log | 8.0 | 8 | 0.3289 | 0.75 |
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+ | No log | 9.0 | 9 | 0.3642 | 0.75 |
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+ | 0.0539 | 10.0 | 10 | 0.4334 | 0.75 |
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+ | 0.0539 | 11.0 | 11 | 0.5582 | 0.5 |
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+ | 0.0539 | 12.0 | 12 | 0.6676 | 0.5 |
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+ | 0.0539 | 13.0 | 13 | 0.7586 | 0.5 |
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+ | 0.0539 | 14.0 | 14 | 0.7937 | 0.5 |
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+ | 0.0539 | 15.0 | 15 | 0.7986 | 0.5 |
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+ | 0.0539 | 16.0 | 16 | 0.7619 | 0.5 |
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+ | 0.0539 | 17.0 | 17 | 0.7134 | 0.5 |
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+ | 0.0539 | 18.0 | 18 | 0.6725 | 0.5 |
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+ | 0.0539 | 19.0 | 19 | 0.6390 | 0.5 |
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+ | 0.0297 | 20.0 | 20 | 0.6222 | 0.5 |
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  ### Framework versions