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asad-cse
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swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification
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  1. README.md +23 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8647342995169082
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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
@@ -32,8 +32,8 @@ 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: 0.4072
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- - Accuracy: 0.8647
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  ## Model description
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@@ -67,26 +67,26 @@ 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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- | 1.7993 | 1.0 | 13 | 1.3217 | 0.5942 |
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- | 1.23 | 2.0 | 26 | 0.9922 | 0.6570 |
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- | 1.0516 | 3.0 | 39 | 1.0678 | 0.6232 |
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- | 0.7172 | 4.0 | 52 | 0.8941 | 0.6618 |
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- | 0.7044 | 5.0 | 65 | 0.6554 | 0.7826 |
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- | 0.5443 | 6.0 | 78 | 0.6408 | 0.7536 |
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- | 0.516 | 7.0 | 91 | 0.5527 | 0.8261 |
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- | 0.4639 | 8.0 | 104 | 0.5046 | 0.8357 |
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- | 0.5129 | 9.0 | 117 | 0.5692 | 0.8019 |
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- | 0.4723 | 10.0 | 130 | 0.5761 | 0.7874 |
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- | 0.3949 | 11.0 | 143 | 0.5836 | 0.7729 |
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- | 0.3694 | 12.0 | 156 | 0.5314 | 0.8116 |
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- | 0.4252 | 13.0 | 169 | 0.4539 | 0.8502 |
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- | 0.3532 | 14.0 | 182 | 0.4721 | 0.8309 |
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- | 0.3556 | 15.0 | 195 | 0.4270 | 0.8551 |
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- | 0.3565 | 16.0 | 208 | 0.4555 | 0.8599 |
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- | 0.3369 | 17.0 | 221 | 0.4134 | 0.8502 |
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- | 0.347 | 18.0 | 234 | 0.4233 | 0.8647 |
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- | 0.3386 | 19.0 | 247 | 0.4155 | 0.8599 |
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- | 0.3312 | 20.0 | 260 | 0.4072 | 0.8647 |
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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: 0.8405797101449275
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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: 0.4560
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+ - Accuracy: 0.8406
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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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+ | 1.7738 | 1.0 | 13 | 1.3796 | 0.5845 |
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+ | 1.2319 | 2.0 | 26 | 1.1322 | 0.6039 |
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+ | 1.0355 | 3.0 | 39 | 0.9885 | 0.6232 |
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+ | 0.7439 | 4.0 | 52 | 1.2022 | 0.6232 |
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+ | 0.6792 | 5.0 | 65 | 0.7238 | 0.7246 |
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+ | 0.6195 | 6.0 | 78 | 0.7041 | 0.7536 |
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+ | 0.5151 | 7.0 | 91 | 0.6132 | 0.7826 |
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+ | 0.556 | 8.0 | 104 | 0.6381 | 0.7488 |
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+ | 0.4727 | 9.0 | 117 | 0.6127 | 0.7923 |
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+ | 0.4879 | 10.0 | 130 | 0.4921 | 0.8551 |
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+ | 0.436 | 11.0 | 143 | 0.5578 | 0.7923 |
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+ | 0.3781 | 12.0 | 156 | 0.5095 | 0.8261 |
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+ | 0.4201 | 13.0 | 169 | 0.5151 | 0.8454 |
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+ | 0.3773 | 14.0 | 182 | 0.4612 | 0.8261 |
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+ | 0.3611 | 15.0 | 195 | 0.5384 | 0.7971 |
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+ | 0.3855 | 16.0 | 208 | 0.5267 | 0.8261 |
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+ | 0.3926 | 17.0 | 221 | 0.4100 | 0.8647 |
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+ | 0.3513 | 18.0 | 234 | 0.4508 | 0.8454 |
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+ | 0.3389 | 19.0 | 247 | 0.4420 | 0.8502 |
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+ | 0.3232 | 20.0 | 260 | 0.4560 | 0.8406 |
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  ### Framework versions
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