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unlearn_cifar100_swin-base_random_label_4_87
jialicheng/unlearn_cifar100_swin-base_random_label_4_87
unlearn_cifar100_swin-base_random_label_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 cifar100 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3297
- Accuracy: 0.9201
- Dt Accuracy: 0.9201
- Df Accuracy: 0.3735
- Unlearn Overall Accuracy: 0.4190
- 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 |
|---|---|---|---|---|---|---|---|
| 0.9992 | 1.0 | 391 | 0.3795 | 0.93 | 0.1447 | 0.1447 | None |
| 0.8844 | 2.0 | 782 | 0.3837 | 0.907 | 0.1609 | 0.1609 | None |
| 0.8007 | 3.0 | 1173 | 0.3604 | 0.879 | 0.1802 | 0.1802 | None |
| 0.7025 | 4.0 | 1564 | 0.3546 | 0.832 | 0.2105 | 0.2105 | None |
| 0.6552 | 5.0 | 1955 | 0.3478 | 0.7415 | 0.2627 | 0.2627 | None |
| 0.592 | 6.0 | 2346 | 0.3671 | 0.5965 | 0.3322 | 0.3322 | None |
| 0.532 | 7.0 | 2737 | 0.3452 | 0.538 | 0.3578 | 0.3578 | None |
| 0.4725 | 8.0 | 3128 | 0.3455 | 0.4365 | 0.3964 | 0.3964 | None |
| 0.4665 | 9.0 | 3519 | 0.3359 | 0.3985 | 0.4101 | 0.4101 | None |
| 0.4271 | 10.0 | 3910 | 0.3297 | 0.3735 | 0.4190 | 0.4190 | None |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Type
- swin
- License
- apache-2.0
- Created
- Oct 22, 2025
- Updated
- Oct 22, 2025