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unlearn_cifar10_swin-base_bad_teaching_4_87
jialicheng/unlearn_cifar10_swin-base_bad_teaching_4_87
unlearn_cifar10_swin-base_bad_teaching_4_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: 0.4537
- Accuracy: 0.9777
- Dt Accuracy: 0.9777
- Df Accuracy: 0.982
- Unlearn Overall Accuracy: 0.2108
- 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 | 32 | 0.4219 | 0.981 | 0.2122 | 0.2122 | None |
| No log | 2.0 | 64 | 0.3720 | 0.986 | 0.2044 | 0.2044 | None |
| No log | 3.0 | 96 | 0.5070 | 0.988 | 0.2010 | 0.2010 | None |
| No log | 4.0 | 128 | 0.4153 | 0.9895 | 0.1987 | 0.1987 | None |
| No log | 5.0 | 160 | 0.4050 | 0.9865 | 0.2036 | 0.2036 | None |
| No log | 6.0 | 192 | 0.3980 | 0.9845 | 0.2068 | 0.2068 | None |
| No log | 7.0 | 224 | 0.3977 | 0.984 | 0.2076 | 0.2076 | None |
| No log | 8.0 | 256 | 0.4254 | 0.9835 | 0.2084 | 0.2084 | None |
| No log | 9.0 | 288 | 0.4551 | 0.9815 | 0.2116 | 0.2116 | None |
| No log | 10.0 | 320 | 0.4537 | 0.982 | 0.2108 | 0.2108 | 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