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: -8.6624
- Accuracy: 0.2528
- Dt Accuracy: 0.2528
- Df Accuracy: 0.2624
- 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 | 40 | -0.1781 | 0.9858 | 0.2047 | 0.2047 | None |
| No log | 2.0 | 80 | -0.9212 | 0.8588 | 0.3775 | 0.3775 | None |
| No log | 3.0 | 120 | -2.4192 | 0.7352 | 0.4908 | 0.4908 | None |
| No log | 4.0 | 160 | -3.2618 | 0.6086 | 0.5480 | 0.5480 | None |
| No log | 5.0 | 200 | -4.1274 | 0.447 | 0 | 0 | None |
| No log | 6.0 | 240 | -5.6339 | 0.3808 | 0 | 0 | None |
| No log | 7.0 | 280 | -6.4786 | 0.3244 | 0 | 0 | None |
| No log | 8.0 | 320 | -7.6536 | 0.2846 | 0 | 0 | None |
| No log | 9.0 | 360 | -7.6682 | 0.2774 | 0 | 0 | None |
| No log | 10.0 | 400 | -7.9471 | 0.2668 | 0 | 0 | None |
| No log | 11.0 | 440 | -8.1260 | 0.2642 | 0 | 0 | None |
| No log | 12.0 | 480 | -8.6624 | 0.2624 | 0 | 0 | None |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2