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unlearn_cifar10_swin-base_bad_teaching_6_87
jialicheng/unlearn_cifar10_swin-base_bad_teaching_6_87
unlearn_cifar10_swin-base_bad_teaching_6_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: 0.4827
- Accuracy: 0.9782
- Dt Accuracy: 0.9782
- Df Accuracy: 0.984
- Unlearn Overall Accuracy: 0.2076
- 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 | 47 | 0.3966 | 0.988 | 0.2011 | 0.2011 | None |
| No log | 2.0 | 94 | 0.3926 | 0.9913 | 0.1958 | 0.1958 | None |
| No log | 3.0 | 141 | 0.4258 | 0.9907 | 0.1969 | 0.1969 | None |
| No log | 4.0 | 188 | 0.4390 | 0.99 | 0.1980 | 0.1980 | None |
| No log | 5.0 | 235 | 0.3780 | 0.988 | 0.2012 | 0.2012 | None |
| No log | 6.0 | 282 | 0.4136 | 0.9877 | 0.2017 | 0.2017 | None |
| No log | 7.0 | 329 | 0.5099 | 0.9877 | 0.2017 | 0.2017 | None |
| No log | 8.0 | 376 | 0.5362 | 0.9843 | 0.2071 | 0.2071 | None |
| No log | 9.0 | 423 | 0.4243 | 0.983 | 0.2092 | 0.2092 | None |
| No log | 10.0 | 470 | 0.4827 | 0.984 | 0.2076 | 0.2076 | 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