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swin-tiny-patch4-window7-224-finetuned-sar
elifm/swin-tiny-patch4-window7-224-finetuned-sar
swin-tiny-patch4-window7-224-finetuned-sar is a image classification model from elifm. 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
- Aug 1, 2023
- Updated
- Aug 1, 2023
- SHA
- b59e61f2
Base models
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-sar
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: 0.0351
- Accuracy: 0.9880
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3706 | 1.0 | 53 | 0.1639 | 0.9442 |
| 0.3062 | 2.0 | 106 | 0.1337 | 0.9509 |
| 0.264 | 3.0 | 159 | 0.0671 | 0.9748 |
| 0.1861 | 4.0 | 212 | 0.0470 | 0.9854 |
| 0.2131 | 5.0 | 265 | 0.0351 | 0.9880 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.2
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Aug 1, 2023
- Updated
- Aug 1, 2023