100
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: 13.1514
- Accuracy: 0.0094
- Dt Accuracy: 0.0094
- Df Accuracy: 0.0084
- 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 256
- seed: 100
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | 79 | 2.3259 | 0.5616 | 0 | 0 | None |
| 0.0 | 2.0 | 158 | 5.8505 | 0.2022 | 0 | 0 | None |
| 0.0 | 3.0 | 237 | 9.4707 | 0.0418 | 0 | 0 | None |
| 0.0 | 4.0 | 316 | 11.7908 | 0.0164 | 0 | 0 | None |
| 0.0 | 5.0 | 395 | 12.9718 | 0.014 | 0 | 0 | None |
| 0.0 | 6.0 | 474 | 12.7922 | 0.012 | 0 | 0 | None |
| 0.0 | 7.0 | 553 | 12.4142 | 0.0106 | 0 | 0 | None |
| 0.0 | 8.0 | 632 | 13.4562 | 0.0104 | 0 | 0 | None |
| 0.0 | 9.0 | 711 | 12.2492 | 0.011 | 0 | 0 | None |
| 0.0 | 10.0 | 790 | 13.1514 | 0.0084 | 0 | 0 | None |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.15.2