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--- |
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license: apache-2.0 |
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base_model: suredream/swin-tiny-patch4-window7-224-finetuned-eurosat |
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tags: |
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- image-classification |
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- vision |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: swin-tiny-patch4_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 the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# swin-tiny-patch4_eurosat |
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This model is a fine-tuned version of [suredream/swin-tiny-patch4-window7-224-finetuned-eurosat](https://huggingface.co/suredream/swin-tiny-patch4-window7-224-finetuned-eurosat) on the timm/eurosat-rgb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0610 |
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- Accuracy: 0.9863 |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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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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| 0.3004 | 1.0 | 2025 | 0.1180 | 0.9678 | |
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| 0.539 | 2.0 | 4050 | 0.0834 | 0.9798 | |
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| 0.024 | 3.0 | 6075 | 0.0700 | 0.9831 | |
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| 0.2674 | 4.0 | 8100 | 0.0685 | 0.9833 | |
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| 0.2086 | 5.0 | 10125 | 0.0610 | 0.9863 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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