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unlearn_cifar100_resnet-50_bad_teaching_2_87
jialicheng/unlearn_cifar100_resnet-50_bad_teaching_2_87
unlearn_cifar100_resnet-50_bad_teaching_2_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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At a glance
- Task
- Image Classification
- License
- apache-2.0
- Model type
- resnet
- Access
- Public
- Created
- Oct 22, 2025
- Updated
- Oct 22, 2025
- SHA
- 42aa02d7
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/resnet-50 on the cifar100 dataset. It achieves the following results on the evaluation set:
- Loss: 11.0268
- Accuracy: 0.0422
- Dt Accuracy: 0.0422
- Df Accuracy: 0.043
- Unlearn Overall Accuracy: 0
- 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: 0.0002
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 16 | 0.7847 | 0.852 | 0.2710 | 0.2710 | None |
| No log | 2.0 | 32 | 1.2742 | 0.736 | 0.4157 | 0.4157 | None |
| No log | 3.0 | 48 | 1.6002 | 0.668 | 0 | 0 | None |
| No log | 4.0 | 64 | 2.1009 | 0.577 | 0 | 0 | None |
| No log | 5.0 | 80 | 3.3225 | 0.453 | 0 | 0 | None |
| No log | 6.0 | 96 | 3.6534 | 0.388 | 0 | 0 | None |
| No log | 7.0 | 112 | 4.9643 | 0.307 | 0 | 0 | None |
| No log | 8.0 | 128 | 5.2198 | 0.251 | 0 | 0 | None |
| No log | 9.0 | 144 | 5.8290 | 0.203 | 0 | 0 | None |
| No log | 10.0 | 160 | 6.7720 | 0.165 | 0 | 0 | None |
| No log | 11.0 | 176 | 7.6928 | 0.128 | 0 | 0 | None |
| No log | 12.0 | 192 | 8.7873 | 0.1 | 0 | 0 | None |
| No log | 13.0 | 208 | 9.4462 | 0.08 | 0 | 0 | None |
| No log | 14.0 | 224 | 11.3049 | 0.064 | 0 | 0 | None |
| No log | 15.0 | 240 | 11.1056 | 0.058 | 0 | 0 | None |
| No log | 16.0 | 256 | 11.2154 | 0.05 | 0 | 0 | None |
| No log | 17.0 | 272 | 11.1214 | 0.051 | 0 | 0 | None |
| No log | 18.0 | 288 | 11.1599 | 0.046 | 0 | 0 | None |
| No log | 19.0 | 304 | 11.0846 | 0.044 | 0 | 0 | None |
| No log | 20.0 | 320 | 11.0268 | 0.043 | 0 | 0 | None |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Type
- resnet
- License
- apache-2.0
- Created
- Oct 22, 2025
- Updated
- Oct 22, 2025