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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: Deexit/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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# Deexit/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: 1.9176 |
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- Validation Loss: 3.2903 |
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- Validation Accuracy: 0.0 |
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- Epoch: 13 |
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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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| 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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| 1.8657 | 3.1494 | 0.0 | 8 | |
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| 1.8121 | 3.1848 | 0.0 | 9 | |
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| 1.9192 | 3.2109 | 0.0 | 10 | |
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| 1.9925 | 3.2335 | 0.0 | 11 | |
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| 2.0157 | 3.2654 | 0.0 | 12 | |
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| 1.9176 | 3.2903 | 0.0 | 13 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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