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unlearn-so_cifar10_swin-base_random_label_4_100
jialicheng/unlearn-so_cifar10_swin-base_random_label_4_100
unlearn-so_cifar10_swin-base_random_label_4_100 is a image classification model from jialicheng. 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. -->
100
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the cifar10 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0964
- Accuracy: 0.9837
- Dt Accuracy: 0.9837
- Df Accuracy: 0.827
- Unlearn Overall Accuracy: 0.4282
- Unlearn Time: None
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: 128
- eval_batch_size: 256
- seed: 100
- optimizer: Use adamw_torch 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 | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 391 | 0.1418 | 0.977 | 0.2185 | 0.2185 | None |
| 0.5547 | 2.0 | 782 | 0.1284 | 0.9735 | 0.2240 | 0.2240 | None |
| 0.4952 | 3.0 | 1173 | 0.1170 | 0.9695 | 0.2304 | 0.2304 | None |
| 0.4381 | 4.0 | 1564 | 0.1344 | 0.973 | 0.2248 | 0.2248 | None |
| 0.4381 | 5.0 | 1955 | 0.1115 | 0.97 | 0.2297 | 0.2297 | None |
| 0.3965 | 6.0 | 2346 | 0.1071 | 0.965 | 0.2375 | 0.2375 | None |
| 0.3542 | 7.0 | 2737 | 0.1061 | 0.9465 | 0.2657 | 0.2657 | None |
| 0.3196 | 8.0 | 3128 | 0.0897 | 0.9365 | 0.2807 | 0.2807 | None |
| 0.2858 | 9.0 | 3519 | 0.0928 | 0.893 | 0.3425 | 0.3425 | None |
| 0.2858 | 10.0 | 3910 | 0.0964 | 0.827 | 0.4282 | 0.4282 | None |
Framework versions
- Transformers 4.48.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- apache-2.0
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025