21
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: 0.1227
- Accuracy: 0.9787
- Dt Accuracy: 0.9787
- Df Accuracy: 0.8317
- Unlearn Overall Accuracy: 0.4220
- 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: 21
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 391 | 0.2027 | 0.967 | 0.2339 | 0.2339 | None |
| 0.6194 | 2.0 | 782 | 0.1540 | 0.967 | 0.2341 | 0.2341 | None |
| 0.5472 | 3.0 | 1173 | 0.1622 | 0.9697 | 0.2300 | 0.2300 | None |
| 0.4983 | 4.0 | 1564 | 0.1490 | 0.974 | 0.2234 | 0.2234 | None |
| 0.4983 | 5.0 | 1955 | 0.1327 | 0.975 | 0.2219 | 0.2219 | None |
| 0.4508 | 6.0 | 2346 | 0.1261 | 0.9753 | 0.2214 | 0.2214 | None |
| 0.4119 | 7.0 | 2737 | 0.1350 | 0.9533 | 0.2554 | 0.2554 | None |
| 0.38 | 8.0 | 3128 | 0.1432 | 0.9167 | 0.3093 | 0.3093 | None |
| 0.3386 | 9.0 | 3519 | 0.1245 | 0.874 | 0.3679 | 0.3679 | None |
| 0.3386 | 10.0 | 3910 | 0.1227 | 0.8317 | 0.4220 | 0.4220 | None |
Framework versions
- Transformers 4.48.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.21.0