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

Image Classification
Transformers
TensorFlow
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swin
generated_from_keras_callback
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Training in progress epoch 0

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  1. README.md +3 -3
  2. logs/train/events.out.tfevents.1691578215.wmtpc47-H81M-S.30152.0.v2 +2 -2
  3. logs/train/events.out.tfevents.1691578812.wmtpc47-H81M-S.31116.0.v2 +3 -0
  4. logs/validation/events.out.tfevents.1691578268.wmtpc47-H81M-S.30152.1.v2 +2 -2
  5. logs/validation/events.out.tfevents.1691578858.wmtpc47-H81M-S.31116.1.v2 +3 -0
  6. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ 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: 2.8360
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- - Validation Loss: 2.6302
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  - Validation Accuracy: 0.0
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  - Epoch: 0
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@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:---------------:|:-------------------:|:-----:|
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- | 2.8360 | 2.6302 | 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: 2.7734
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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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  | 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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