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--- |
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library_name: transformers |
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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_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: land-type-classification-pro_2 |
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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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# land-type-classification-pro_2 |
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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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- Loss: 0.5273 |
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- Accuracy: 0.9889 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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- label_smoothing_factor: 0.1 |
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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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| 0.7867 | 1.0 | 405 | 0.6712 | 0.9383 | |
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| 0.698 | 2.0 | 810 | 0.5838 | 0.9735 | |
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| 0.669 | 3.0 | 1215 | 0.5638 | 0.9735 | |
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| 0.6739 | 4.0 | 1620 | 0.5576 | 0.9793 | |
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| 0.6016 | 5.0 | 2025 | 0.5527 | 0.9793 | |
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| 0.6183 | 6.0 | 2430 | 0.5412 | 0.9833 | |
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| 0.6063 | 7.0 | 2835 | 0.5556 | 0.9759 | |
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| 0.5916 | 8.0 | 3240 | 0.5392 | 0.9846 | |
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| 0.6016 | 9.0 | 3645 | 0.5429 | 0.9858 | |
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| 0.5973 | 10.0 | 4050 | 0.5330 | 0.9880 | |
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| 0.6503 | 11.0 | 4455 | 0.5325 | 0.9880 | |
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| 0.5924 | 12.0 | 4860 | 0.5407 | 0.9849 | |
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| 0.6405 | 13.0 | 5265 | 0.5342 | 0.9870 | |
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| 0.5706 | 14.0 | 5670 | 0.5311 | 0.9873 | |
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| 0.5609 | 15.0 | 6075 | 0.5273 | 0.9889 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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