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unlearn-so_cifar10_swin-base_bad_teaching_8_87
jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_8_87
unlearn-so_cifar10_swin-base_bad_teaching_8_87 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. -->
87
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: 0.8365
- Accuracy: 0.9736
- Dt Accuracy: 0.9736
- Df Accuracy: 0.9765
- Unlearn Overall Accuracy: 0.2194
- 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: 87
- 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 | 1.4675 | 0.9437 | 0.2680 | 0.2680 | None |
| No log | 2.0 | 126 | 1.4375 | 0.9603 | 0.2438 | 0.2438 | None |
| No log | 3.0 | 189 | 1.1945 | 0.968 | 0.2323 | 0.2323 | None |
| No log | 4.0 | 252 | 1.9980 | 0.9513 | 0.2573 | 0.2573 | None |
| No log | 5.0 | 315 | 1.9949 | 0.9615 | 0.2421 | 0.2421 | None |
| No log | 6.0 | 378 | 1.1425 | 0.9738 | 0.2235 | 0.2235 | None |
| No log | 7.0 | 441 | 0.8408 | 0.9815 | 0.2115 | 0.2115 | None |
| 0.0 | 8.0 | 504 | 0.9150 | 0.974 | 0.2233 | 0.2233 | None |
| 0.0 | 9.0 | 567 | 0.8936 | 0.9778 | 0.2174 | 0.2174 | None |
| 0.0 | 10.0 | 630 | 0.8365 | 0.9765 | 0.2194 | 0.2194 | 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