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Main_fashion-swin
vlevi/Main_fashion-swin
Main_fashion-swin is a image classification model from vlevi. 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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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. -->
Main_fashion-swin
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7830
- Accuracy: 0.7053
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: 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.019 | 0.9630 | 13 | 1.7204 | 0.3805 |
| 1.646 | 2.0 | 27 | 1.2356 | 0.5940 |
| 0.9911 | 2.9630 | 40 | 0.9948 | 0.6821 |
| 0.9104 | 4.0 | 54 | 0.9069 | 0.6775 |
| 0.8337 | 4.9630 | 67 | 0.8472 | 0.6961 |
| 0.7425 | 6.0 | 81 | 0.8436 | 0.6891 |
| 0.6625 | 6.9630 | 94 | 0.8257 | 0.6937 |
| 0.6814 | 8.0 | 108 | 0.8274 | 0.6914 |
| 0.6445 | 8.9630 | 121 | 0.7940 | 0.7053 |
| 0.6032 | 10.0 | 135 | 0.8015 | 0.7030 |
| 0.6231 | 10.9630 | 148 | 0.7825 | 0.7077 |
| 0.6337 | 11.5556 | 156 | 0.7830 | 0.7053 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- May 1, 2024
- Updated
- May 1, 2024