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swin-tiny-patch4-window7-224-finetuned-eurosat
erikejw/swin-tiny-patch4-window7-224-finetuned-eurosat
swin-tiny-patch4-window7-224-finetuned-eurosat is a image classification model from erikejw. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- swin
- Access
- Public
- Created
- Sep 13, 2022
- Updated
- Sep 25, 2022
- SHA
- d80831cc
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0393
- Accuracy: 0.9844
- F1: 0.9845
- Precision: 0.9847
- Recall: 0.9844
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3039 | 1.0 | 95 | 0.1300 | 0.9607 | 0.9609 | 0.9619 | 0.9607 |
| 0.2357 | 2.0 | 190 | 0.0815 | 0.9678 | 0.9678 | 0.9685 | 0.9678 |
| 0.163 | 3.0 | 285 | 0.0559 | 0.9807 | 0.9807 | 0.9809 | 0.9807 |
| 0.1267 | 4.0 | 380 | 0.0492 | 0.9837 | 0.9837 | 0.9839 | 0.9837 |
| 0.1059 | 5.0 | 475 | 0.0393 | 0.9844 | 0.9845 | 0.9847 | 0.9844 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Sep 13, 2022
- Updated
- Sep 25, 2022