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unlearn_cifar100_resnet-50_bad_teaching_8_42
jialicheng/unlearn_cifar100_resnet-50_bad_teaching_8_42
unlearn_cifar100_resnet-50_bad_teaching_8_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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At a glance
- Task
- Image Classification
- License
- apache-2.0
- Model type
- resnet
- Access
- Public
- Created
- Oct 22, 2025
- Updated
- Oct 22, 2025
- SHA
- 0135fd8f
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/resnet-50 on the cifar100 dataset. It achieves the following results on the evaluation set:
- Loss: 50.1948
- Accuracy: 0.0163
- Dt Accuracy: 0.0163
- Df Accuracy: 0.018
- 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: 42
- 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 | 63 | 3.2192 | 0.4848 | 0 | 0 | None |
| No log | 2.0 | 126 | 6.5314 | 0.1585 | 0 | 0 | None |
| No log | 3.0 | 189 | 10.8320 | 0.0315 | 0 | 0 | None |
| No log | 4.0 | 252 | 15.8905 | 0.019 | 0 | 0 | None |
| No log | 5.0 | 315 | 22.9716 | 0.017 | 0 | 0 | None |
| No log | 6.0 | 378 | 37.7204 | 0.0175 | 0 | 0 | None |
| No log | 7.0 | 441 | 31.7979 | 0.017 | 0 | 0 | None |
| 0.0 | 8.0 | 504 | 35.7467 | 0.0177 | 0 | 0 | None |
| 0.0 | 9.0 | 567 | 30.9349 | 0.019 | 0 | 0 | None |
| 0.0 | 10.0 | 630 | 38.0246 | 0.018 | 0 | 0 | None |
| 0.0 | 11.0 | 693 | 35.3696 | 0.017 | 0 | 0 | None |
| 0.0 | 12.0 | 756 | 38.9005 | 0.018 | 0 | 0 | None |
| 0.0 | 13.0 | 819 | 49.0578 | 0.0175 | 0 | 0 | None |
| 0.0 | 14.0 | 882 | 40.9863 | 0.018 | 0 | 0 | None |
| 0.0 | 15.0 | 945 | 35.1110 | 0.0173 | 0 | 0 | None |
| 0.0 | 16.0 | 1008 | 43.2891 | 0.018 | 0 | 0 | None |
| 0.0 | 17.0 | 1071 | 46.2693 | 0.0177 | 0 | 0 | None |
| 0.0 | 18.0 | 1134 | 52.0923 | 0.018 | 0 | 0 | None |
| 0.0 | 19.0 | 1197 | 55.0463 | 0.018 | 0 | 0 | None |
| 0.0 | 20.0 | 1260 | 50.1948 | 0.018 | 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