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unlearn-so_cifar10_swin-base_bad_teaching_8_100
jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_8_100
unlearn-so_cifar10_swin-base_bad_teaching_8_100 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. -->
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: 0.7058
- Accuracy: 0.9779
- Dt Accuracy: 0.9779
- Df Accuracy: 0.9825
- Unlearn Overall Accuracy: 0.2100
- 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: 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 | 1.5968 | 0.9475 | 0.2626 | 0.2626 | None |
| No log | 2.0 | 126 | 1.5041 | 0.9547 | 0.2521 | 0.2521 | None |
| No log | 3.0 | 189 | 1.2343 | 0.9667 | 0.2341 | 0.2341 | None |
| No log | 4.0 | 252 | 1.3658 | 0.9617 | 0.2419 | 0.2419 | None |
| No log | 5.0 | 315 | 0.9663 | 0.974 | 0.2232 | 0.2232 | None |
| No log | 6.0 | 378 | 1.0653 | 0.9788 | 0.2158 | 0.2158 | None |
| No log | 7.0 | 441 | 1.1769 | 0.9735 | 0.2239 | 0.2239 | None |
| 0.0 | 8.0 | 504 | 0.7415 | 0.981 | 0.2124 | 0.2124 | None |
| 0.0 | 9.0 | 567 | 0.6973 | 0.9835 | 0.2084 | 0.2084 | None |
| 0.0 | 10.0 | 630 | 0.7058 | 0.9825 | 0.2100 | 0.2100 | 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