Downloads · 30 days
6
10% of all-time downloads
unlearn_cifar10_swin-base_bad_teaching_2_42
jialicheng/unlearn_cifar10_swin-base_bad_teaching_2_42
unlearn_cifar10_swin-base_bad_teaching_2_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. --
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. -->
42
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: 0.4054
- Accuracy: 0.9752
- Dt Accuracy: 0.9752
- Df Accuracy: 0.976
- Unlearn Overall Accuracy: 0.2203
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 16 | 0.2889 | 0.978 | 0.2170 | 0.2170 | None |
| No log | 2.0 | 32 | 0.3387 | 0.986 | 0.2043 | 0.2043 | None |
| No log | 3.0 | 48 | 0.4431 | 0.978 | 0.2170 | 0.2170 | None |
| No log | 4.0 | 64 | 0.3633 | 0.986 | 0.2044 | 0.2044 | None |
| No log | 5.0 | 80 | 0.3556 | 0.988 | 0.2011 | 0.2011 | None |
| No log | 6.0 | 96 | 0.3678 | 0.981 | 0.2124 | 0.2124 | None |
| No log | 7.0 | 112 | 0.4253 | 0.977 | 0.2187 | 0.2187 | None |
| No log | 8.0 | 128 | 0.3950 | 0.977 | 0.2187 | 0.2187 | None |
| No log | 9.0 | 144 | 0.3877 | 0.976 | 0.2202 | 0.2202 | None |
| No log | 10.0 | 160 | 0.4054 | 0.976 | 0.2203 | 0.2203 | 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 22, 2025
- Updated
- Oct 22, 2025