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---
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license: apache-2.0
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base_model: microsoft/swinv2-tiny-patch4-window8-256
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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: swinv2-tiny-patch4-window8-256-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 the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# swinv2-tiny-patch4-window8-256-finetuned-eurosat
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This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5112
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- Accuracy: 0.7969
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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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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| 0.6594 | 0.9955 | 167 | 0.6860 | 0.7426 |
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| 0.5427 | 1.9970 | 335 | 0.5231 | 0.7836 |
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| 0.523 | 2.9985 | 503 | 0.5246 | 0.7912 |
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| 0.4991 | 4.0 | 671 | 0.5136 | 0.7950 |
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| 0.4512 | 4.9776 | 835 | 0.5112 | 0.7969 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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