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---
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: land-type-classification-pro_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# land-type-classification-pro_2
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.
It achieves the following results on the evaluation set:
- Loss: 0.5273
- Accuracy: 0.9889
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7867 | 1.0 | 405 | 0.6712 | 0.9383 |
| 0.698 | 2.0 | 810 | 0.5838 | 0.9735 |
| 0.669 | 3.0 | 1215 | 0.5638 | 0.9735 |
| 0.6739 | 4.0 | 1620 | 0.5576 | 0.9793 |
| 0.6016 | 5.0 | 2025 | 0.5527 | 0.9793 |
| 0.6183 | 6.0 | 2430 | 0.5412 | 0.9833 |
| 0.6063 | 7.0 | 2835 | 0.5556 | 0.9759 |
| 0.5916 | 8.0 | 3240 | 0.5392 | 0.9846 |
| 0.6016 | 9.0 | 3645 | 0.5429 | 0.9858 |
| 0.5973 | 10.0 | 4050 | 0.5330 | 0.9880 |
| 0.6503 | 11.0 | 4455 | 0.5325 | 0.9880 |
| 0.5924 | 12.0 | 4860 | 0.5407 | 0.9849 |
| 0.6405 | 13.0 | 5265 | 0.5342 | 0.9870 |
| 0.5706 | 14.0 | 5670 | 0.5311 | 0.9873 |
| 0.5609 | 15.0 | 6075 | 0.5273 | 0.9889 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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