Downloads · 30 days
2
3% of all-time downloads
unlearn-so_cifar10_swin-base_bad_teaching_6_87
jialicheng/unlearn-so_cifar10_swin-base_bad_teaching_6_87
unlearn-so_cifar10_swin-base_bad_teaching_6_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. --
All-time downloads
58
Public
Parameters
86.8M
350 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors348 MB · 99%
Parameter types
How the weights are stored.
F3286.8M · 100%
Base models
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: 0.8724
- Accuracy: 0.9717
- Dt Accuracy: 0.9717
- 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 | 47 | 1.3787 | 0.9463 | 0.2646 | 0.2646 | None |
| No log | 2.0 | 94 | 0.9567 | 0.968 | 0.2323 | 0.2323 | None |
| No log | 3.0 | 141 | 1.2643 | 0.9657 | 0.2357 | 0.2357 | None |
| No log | 4.0 | 188 | 1.4671 | 0.964 | 0.2383 | 0.2383 | None |
| No log | 5.0 | 235 | 1.3527 | 0.9687 | 0.2311 | 0.2311 | None |
| No log | 6.0 | 282 | 1.2884 | 0.9683 | 0.2317 | 0.2317 | None |
| No log | 7.0 | 329 | 0.9426 | 0.9737 | 0.2237 | 0.2237 | None |
| No log | 8.0 | 376 | 0.9854 | 0.9717 | 0.2269 | 0.2269 | None |
| No log | 9.0 | 423 | 0.8801 | 0.9783 | 0.2164 | 0.2164 | None |
| No log | 10.0 | 470 | 0.8724 | 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