42
This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:
- Loss: -5.5248
- Accuracy: 0.5399
- Dt Accuracy: 0.5399
- Df Accuracy: 0.5527
- 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: 1e-05
- 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 24 | -0.1426 | 0.989 | 0.1997 | 0.1997 | None |
| No log | 2.0 | 48 | -0.1917 | 0.9777 | 0.2176 | 0.2176 | None |
| No log | 3.0 | 72 | -0.4897 | 0.909 | 0.3164 | 0.3164 | None |
| No log | 4.0 | 96 | -1.5649 | 0.773 | 0.4616 | 0.4616 | None |
| No log | 5.0 | 120 | -2.8200 | 0.6573 | 0.5362 | 0.5362 | None |
| No log | 6.0 | 144 | -3.9131 | 0.61 | 0.5505 | 0.5505 | None |
| No log | 7.0 | 168 | -4.5997 | 0.588 | 0 | 0 | None |
| No log | 8.0 | 192 | -4.9390 | 0.5767 | 0 | 0 | None |
| No log | 9.0 | 216 | -5.1619 | 0.57 | 0 | 0 | None |
| No log | 10.0 | 240 | -5.4594 | 0.561 | 0 | 0 | None |
| No log | 11.0 | 264 | -5.5931 | 0.555 | 0 | 0 | None |
| No log | 12.0 | 288 | -5.5248 | 0.5527 | 0 | 0 | None |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2