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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_keras_callback |
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model-index: |
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- name: ggergues/swin-tiny-patch4-window7-224-finetuned-eurosat |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# ggergues/swin-tiny-patch4-window7-224-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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.5115 |
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- Validation Loss: 0.1813 |
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- Validation Accuracy: 0.9437 |
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- Epoch: 2 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:---------------:|:-------------------:|:-----:| |
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| 0.7934 | 0.2019 | 0.9333 | 0 | |
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| 0.5631 | 0.2128 | 0.9307 | 1 | |
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| 0.5115 | 0.1813 | 0.9437 | 2 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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