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

Image Classification
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swin
generated_from_keras_callback
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Training in progress epoch 7

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  1. README.md +10 -3
  2. logs/train/events.out.tfevents.1691578812.wmtpc47-H81M-S.31116.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1691578858.wmtpc47-H81M-S.31116.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ 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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- - Train Loss: 2.7734
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- - Validation Loss: 2.7408
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  - Validation Accuracy: 0.0
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- - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:---------------:|:-------------------:|:-----:|
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  | 2.7734 | 2.7408 | 0.0 | 0 |
 
 
 
 
 
 
 
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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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+ - Train Loss: 2.3555
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+ - Validation Loss: 3.1071
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  - Validation Accuracy: 0.0
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+ - Epoch: 7
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  ## Model description
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  | Train Loss | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:---------------:|:-------------------:|:-----:|
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  | 2.7734 | 2.7408 | 0.0 | 0 |
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+ | 2.4056 | 2.7463 | 0.0 | 1 |
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+ | 2.1880 | 2.7762 | 0.0 | 2 |
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+ | 2.0477 | 2.8285 | 0.0 | 3 |
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+ | 2.1556 | 2.8884 | 0.0 | 4 |
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+ | 2.0269 | 2.9569 | 0.0 | 5 |
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+ | 1.7258 | 3.0337 | 0.0 | 6 |
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+ | 2.3555 | 3.1071 | 0.0 | 7 |
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  ### Framework versions
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