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unlearn_cifar100_swin-base_random_label_4_42
jialicheng/unlearn_cifar100_swin-base_random_label_4_42
unlearn_cifar100_swin-base_random_label_4_42 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. -->
42
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: 0.3410
- Accuracy: 0.9174
- Dt Accuracy: 0.9174
- Df Accuracy: 0.381
- Unlearn Overall Accuracy: 0.4160
- 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: 42
- 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 |
|---|---|---|---|---|---|---|---|
| 0.9711 | 1.0 | 391 | 0.4050 | 0.917 | 0.1537 | 0.1537 | None |
| 0.8672 | 2.0 | 782 | 0.3663 | 0.9175 | 0.1537 | 0.1537 | None |
| 0.7969 | 3.0 | 1173 | 0.3551 | 0.885 | 0.1763 | 0.1763 | None |
| 0.7222 | 4.0 | 1564 | 0.3826 | 0.798 | 0.2304 | 0.2304 | None |
| 0.6411 | 5.0 | 1955 | 0.3555 | 0.745 | 0.2605 | 0.2605 | None |
| 0.5803 | 6.0 | 2346 | 0.3580 | 0.6495 | 0.3088 | 0.3088 | None |
| 0.5138 | 7.0 | 2737 | 0.3436 | 0.552 | 0.3520 | 0.3520 | None |
| 0.4927 | 8.0 | 3128 | 0.3561 | 0.433 | 0.3972 | 0.3972 | None |
| 0.4468 | 9.0 | 3519 | 0.3412 | 0.409 | 0.4068 | 0.4068 | None |
| 0.4187 | 10.0 | 3910 | 0.3410 | 0.381 | 0.4160 | 0.4160 | 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