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unlearn_cifar100_resnet-50_bad_teaching_10_42
jialicheng/unlearn_cifar100_resnet-50_bad_teaching_10_42
unlearn_cifar100_resnet-50_bad_teaching_10_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
- 6175166e
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: 64.2920
- Accuracy: 0.0158
- Dt Accuracy: 0.0158
- Df Accuracy: 0.0176
- 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 | 79 | 3.9909 | 0.4008 | 0 | 0 | None |
| No log | 2.0 | 158 | 9.1328 | 0.067 | 0 | 0 | None |
| No log | 3.0 | 237 | 16.8372 | 0.0184 | 0 | 0 | None |
| No log | 4.0 | 316 | 15.7294 | 0.0184 | 0 | 0 | None |
| No log | 5.0 | 395 | 27.6822 | 0.0162 | 0 | 0 | None |
| No log | 6.0 | 474 | 33.8280 | 0.015 | 0 | 0 | None |
| 0.0 | 7.0 | 553 | 38.8382 | 0.0168 | 0 | 0 | None |
| 0.0 | 8.0 | 632 | 48.6496 | 0.0154 | 0 | 0 | None |
| 0.0 | 9.0 | 711 | 53.8986 | 0.0162 | 0 | 0 | None |
| 0.0 | 10.0 | 790 | 50.3904 | 0.0164 | 0 | 0 | None |
| 0.0 | 11.0 | 869 | 52.8110 | 0.0162 | 0 | 0 | None |
| 0.0 | 12.0 | 948 | 49.5994 | 0.0172 | 0 | 0 | None |
| 0.0 | 13.0 | 1027 | 59.7650 | 0.0164 | 0 | 0 | None |
| 0.0 | 14.0 | 1106 | 60.5894 | 0.0174 | 0 | 0 | None |
| 0.0 | 15.0 | 1185 | 66.7336 | 0.0176 | 0 | 0 | None |
| 0.0 | 16.0 | 1264 | 61.0261 | 0.0182 | 0 | 0 | None |
| 0.0 | 17.0 | 1343 | 62.0881 | 0.0172 | 0 | 0 | None |
| 0.0 | 18.0 | 1422 | 68.1739 | 0.0174 | 0 | 0 | None |
| 0.0 | 19.0 | 1501 | 71.3448 | 0.0176 | 0 | 0 | None |
| 0.0 | 20.0 | 1580 | 64.2920 | 0.0176 | 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