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unlearn-so_cifar10_swin-base_bad_teaching_10_87
jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_10_87
unlearn-so_cifar10_swin-base_bad_teaching_10_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: 1.1148
- Accuracy: 0.9709
- Dt Accuracy: 0.9709
- Df Accuracy: 0.975
- Unlearn Overall Accuracy: 0.2217
- 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 | 79 | 2.0296 | 0.9326 | 0.2840 | 0.2840 | None |
| No log | 2.0 | 158 | 1.3148 | 0.9578 | 0.2476 | 0.2476 | None |
| No log | 3.0 | 237 | 1.4136 | 0.9684 | 0.2316 | 0.2316 | None |
| No log | 4.0 | 316 | 1.3859 | 0.965 | 0.2368 | 0.2368 | None |
| No log | 5.0 | 395 | 1.2857 | 0.972 | 0.2262 | 0.2262 | None |
| No log | 6.0 | 474 | 1.2714 | 0.9756 | 0.2207 | 0.2207 | None |
| 0.0 | 7.0 | 553 | 1.5011 | 0.9672 | 0.2336 | 0.2336 | None |
| 0.0 | 8.0 | 632 | 1.2467 | 0.9772 | 0.2182 | 0.2182 | None |
| 0.0 | 9.0 | 711 | 1.0252 | 0.9772 | 0.2183 | 0.2183 | None |
| 0.0 | 10.0 | 790 | 1.1148 | 0.975 | 0.2217 | 0.2217 | 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