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unlearn_cifar10_swin-base_bad_teaching_8_87
jialicheng/unlearn_cifar10_swin-base_bad_teaching_8_87
unlearn_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: 0.4027
- Accuracy: 0.9827
- Dt Accuracy: 0.9827
- Df Accuracy: 0.9888
- Unlearn Overall Accuracy: 0.2001
- 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 | 0.3384 | 0.9918 | 0.1951 | 0.1951 | None |
| No log | 2.0 | 126 | 0.4130 | 0.99 | 0.1980 | 0.1980 | None |
| No log | 3.0 | 189 | 0.3915 | 0.991 | 0.1964 | 0.1964 | None |
| No log | 4.0 | 252 | 0.4775 | 0.9898 | 0.1984 | 0.1984 | None |
| No log | 5.0 | 315 | 0.3969 | 0.992 | 0.1948 | 0.1948 | None |
| No log | 6.0 | 378 | 0.4710 | 0.9902 | 0.1976 | 0.1976 | None |
| No log | 7.0 | 441 | 0.3670 | 0.9915 | 0.1956 | 0.1956 | None |
| 0.0 | 8.0 | 504 | 0.3692 | 0.9892 | 0.1993 | 0.1993 | None |
| 0.0 | 9.0 | 567 | 0.3696 | 0.9895 | 0.1988 | 0.1988 | None |
| 0.0 | 10.0 | 630 | 0.4027 | 0.9888 | 0.2001 | 0.2001 | 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