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unlearn-so_cifar10_swin-base_bad_teaching_8_13
jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_8_13
unlearn-so_cifar10_swin-base_bad_teaching_8_13 is a image classification model from jialicheng. Use it when you need a label for an image. 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. -->
13
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: 0.8835
- Accuracy: 0.9742
- Dt Accuracy: 0.9742
- Df Accuracy: 0.971
- Unlearn Overall Accuracy: 0.2281
- 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: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | 63 | 1.7638 | 0.9403 | 0.2731 | 0.2731 | None |
| No log | 2.0 | 126 | 1.3546 | 0.9563 | 0.2500 | 0.2500 | None |
| No log | 3.0 | 189 | 1.5569 | 0.9627 | 0.2402 | 0.2402 | None |
| No log | 4.0 | 252 | 1.6404 | 0.9555 | 0.2512 | 0.2512 | None |
| No log | 5.0 | 315 | 1.0709 | 0.9742 | 0.2228 | 0.2228 | None |
| No log | 6.0 | 378 | 1.1521 | 0.972 | 0.2263 | 0.2263 | None |
| No log | 7.0 | 441 | 1.0954 | 0.9725 | 0.2256 | 0.2256 | None |
| 0.0 | 8.0 | 504 | 0.9851 | 0.973 | 0.2249 | 0.2249 | None |
| 0.0 | 9.0 | 567 | 0.9084 | 0.9752 | 0.2214 | 0.2214 | None |
| 0.0 | 10.0 | 630 | 0.8835 | 0.971 | 0.2281 | 0.2281 | None |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Type
- swin
- License
- apache-2.0
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025