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unlearn_cifar10_swin-base_bad_teaching_10_42
jialicheng/unlearn_cifar10_swin-base_bad_teaching_10_42
unlearn_cifar10_swin-base_bad_teaching_10_42 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. -->
42
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: 0.4950
- Accuracy: 0.9826
- Dt Accuracy: 0.9826
- Df Accuracy: 0.9918
- Unlearn Overall Accuracy: 0.1951
- 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: 42
- 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 | 79 | 0.4251 | 0.989 | 0.1995 | 0.1995 | None |
| No log | 2.0 | 158 | 0.5100 | 0.9888 | 0.1999 | 0.1999 | None |
| No log | 3.0 | 237 | 0.4631 | 0.9932 | 0.1928 | 0.1928 | None |
| No log | 4.0 | 316 | 0.4907 | 0.989 | 0.1996 | 0.1996 | None |
| No log | 5.0 | 395 | 0.5943 | 0.991 | 0.1963 | 0.1963 | None |
| No log | 6.0 | 474 | 0.5142 | 0.9902 | 0.1977 | 0.1977 | None |
| 0.0 | 7.0 | 553 | 0.4919 | 0.9926 | 0.1938 | 0.1938 | None |
| 0.0 | 8.0 | 632 | 0.4564 | 0.9926 | 0.1938 | 0.1938 | None |
| 0.0 | 9.0 | 711 | 0.4740 | 0.9928 | 0.1935 | 0.1935 | None |
| 0.0 | 10.0 | 790 | 0.4950 | 0.9918 | 0.1951 | 0.1951 | 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 22, 2025
- Updated
- Oct 22, 2025