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unlearn-so_cifar10_swin-base_bad_teaching_6_13
jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_6_13
unlearn-so_cifar10_swin-base_bad_teaching_6_13 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. -->
13
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: 0.9863
- Accuracy: 0.9665
- Dt Accuracy: 0.9665
- Df Accuracy: 0.9643
- Unlearn Overall Accuracy: 0.2382
- 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: 13
- 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 | 1.2474 | 0.9643 | 0.2375 | 0.2375 | None |
| No log | 2.0 | 94 | 1.1489 | 0.9593 | 0.2454 | 0.2454 | None |
| No log | 3.0 | 141 | 1.3052 | 0.966 | 0.2353 | 0.2353 | None |
| No log | 4.0 | 188 | 1.3526 | 0.963 | 0.2398 | 0.2398 | None |
| No log | 5.0 | 235 | 1.4689 | 0.9653 | 0.2363 | 0.2363 | None |
| No log | 6.0 | 282 | 1.0760 | 0.9743 | 0.2226 | 0.2226 | None |
| No log | 7.0 | 329 | 0.9787 | 0.976 | 0.2201 | 0.2201 | None |
| No log | 8.0 | 376 | 0.9946 | 0.9653 | 0.2367 | 0.2367 | None |
| No log | 9.0 | 423 | 0.9774 | 0.9643 | 0.2382 | 0.2382 | None |
| No log | 10.0 | 470 | 0.9863 | 0.9643 | 0.2382 | 0.2382 | 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