87
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: -43.6949
- Accuracy: 0.1
- Dt Accuracy: 0.1
- Df Accuracy: 0.1
- 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: 5e-06
- train_batch_size: 128
- eval_batch_size: 256
- seed: 87
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 40 | -5.5940 | 0.5922 | 0 | 0 | None |
| No log | 2.0 | 80 | -32.2865 | 0.1 | 0 | 0 | None |
| No log | 3.0 | 120 | -38.2920 | 0.1 | 0 | 0 | None |
| No log | 4.0 | 160 | -40.9904 | 0.1 | 0 | 0 | None |
| No log | 5.0 | 200 | -42.4104 | 0.1 | 0 | 0 | None |
| No log | 6.0 | 240 | -43.1413 | 0.1 | 0 | 0 | None |
| No log | 7.0 | 280 | -43.5671 | 0.1 | 0 | 0 | None |
| No log | 8.0 | 320 | -43.6949 | 0.1 | 0 | 0 | None |
Framework versions
- Transformers 4.48.0
- Pytorch 2.2.2+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0