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SwimV2
Afzalsiiit/SwimV2
SwimV2 is a image classification model from Afzalsiiit. 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
- Jul 7, 2026
- Updated
- Jul 7, 2026
- SHA
- 39670a8f
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. -->
SwimV2
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: 0.0290
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: 16
- eval_batch_size: 16
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2588 | 1.0 | 77 | 0.0491 |
| 0.1207 | 2.0 | 154 | 0.0314 |
| 0.1638 | 3.0 | 231 | 0.0820 |
| 0.0741 | 4.0 | 308 | 0.0300 |
| 0.0911 | 5.0 | 385 | 0.0147 |
| 0.0837 | 6.0 | 462 | 0.0227 |
| 0.0634 | 7.0 | 539 | 0.0381 |
| 0.0497 | 8.0 | 616 | 0.0427 |
| 0.0371 | 9.0 | 693 | 0.0250 |
| 0.0345 | 10.0 | 770 | 0.0290 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Jul 7, 2026
- Updated
- Jul 7, 2026