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Electrcical-IMAGE-finetuned-eurosat

Image Classification
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swin
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  1. README.md +31 -31
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: Safawat/Electrcical-IMAGE-finetuned-eurosat
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -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: 0.9034653465346535
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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
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Electrcical-IMAGE-finetuned-eurosat
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- This model is a fine-tuned version of [Safawat/Electrcical-IMAGE-finetuned-eurosat](https://huggingface.co/Safawat/Electrcical-IMAGE-finetuned-eurosat) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3388
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- - Accuracy: 0.9035
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  ## Model description
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@@ -65,33 +65,33 @@ The following hyperparameters were used during training:
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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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- | 0.2536 | 0.9825 | 28 | 0.3073 | 0.8985 |
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- | 0.1702 | 2.0 | 57 | 0.3259 | 0.8812 |
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- | 0.1528 | 2.9825 | 85 | 0.3370 | 0.8837 |
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- | 0.157 | 4.0 | 114 | 0.3373 | 0.8812 |
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- | 0.1577 | 4.9825 | 142 | 0.3574 | 0.8861 |
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- | 0.1485 | 6.0 | 171 | 0.3388 | 0.9035 |
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- | 0.1715 | 6.9825 | 199 | 0.3340 | 0.8936 |
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- | 0.2079 | 8.0 | 228 | 0.3255 | 0.8960 |
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- | 0.1846 | 8.9825 | 256 | 0.3368 | 0.8985 |
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- | 0.1829 | 10.0 | 285 | 0.3175 | 0.8985 |
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- | 0.1874 | 10.9825 | 313 | 0.3384 | 0.8911 |
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- | 0.1826 | 12.0 | 342 | 0.3284 | 0.8985 |
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- | 0.1911 | 12.9825 | 370 | 0.3504 | 0.8911 |
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- | 0.1552 | 14.0 | 399 | 0.3116 | 0.8936 |
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- | 0.1855 | 14.9825 | 427 | 0.3132 | 0.8960 |
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- | 0.1537 | 16.0 | 456 | 0.3000 | 0.9010 |
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- | 0.118 | 16.9825 | 484 | 0.3261 | 0.8985 |
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- | 0.1483 | 18.0 | 513 | 0.3143 | 0.8960 |
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- | 0.1169 | 18.9825 | 541 | 0.3102 | 0.9035 |
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- | 0.1268 | 19.6491 | 560 | 0.3104 | 0.8985 |
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  ### Framework versions
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- - Transformers 4.40.0
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  ---
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  license: apache-2.0
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8737623762376238
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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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  # Electrcical-IMAGE-finetuned-eurosat
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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: 0.3555
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+ - Accuracy: 0.8738
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  ## Model description
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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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+ | 1.5532 | 0.98 | 28 | 1.1704 | 0.6163 |
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+ | 0.8115 | 2.0 | 57 | 0.6827 | 0.7673 |
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+ | 0.5513 | 2.98 | 85 | 0.4525 | 0.8416 |
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+ | 0.455 | 4.0 | 114 | 0.4012 | 0.8540 |
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+ | 0.3901 | 4.98 | 142 | 0.3824 | 0.8614 |
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+ | 0.4042 | 6.0 | 171 | 0.3797 | 0.8639 |
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+ | 0.3591 | 6.98 | 199 | 0.3505 | 0.8787 |
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+ | 0.2989 | 8.0 | 228 | 0.3551 | 0.8614 |
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+ | 0.3029 | 8.98 | 256 | 0.3625 | 0.8663 |
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+ | 0.2606 | 10.0 | 285 | 0.3615 | 0.8490 |
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+ | 0.2413 | 10.98 | 313 | 0.3435 | 0.8787 |
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+ | 0.2051 | 12.0 | 342 | 0.3371 | 0.8663 |
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+ | 0.2477 | 12.98 | 370 | 0.3451 | 0.8639 |
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+ | 0.2271 | 14.0 | 399 | 0.3364 | 0.8738 |
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+ | 0.2112 | 14.98 | 427 | 0.3559 | 0.8639 |
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+ | 0.1902 | 16.0 | 456 | 0.3630 | 0.8738 |
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+ | 0.1739 | 16.98 | 484 | 0.3630 | 0.8713 |
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+ | 0.195 | 18.0 | 513 | 0.3625 | 0.8663 |
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+ | 0.1621 | 18.98 | 541 | 0.3571 | 0.8762 |
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+ | 0.154 | 19.65 | 560 | 0.3555 | 0.8738 |
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  ### Framework versions
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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