vit-base-oxford-iiit-pets
This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset. It achieves the following results on the evaluation set:
- Loss: 0.2076
- Accuracy: 0.9378
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7188 | 1.0 | 185 | 0.3688 | 0.9147 |
| 0.2918 | 2.0 | 370 | 0.2578 | 0.9337 |
| 0.2057 | 3.0 | 555 | 0.2298 | 0.9364 |
| 0.1784 | 4.0 | 740 | 0.2196 | 0.9391 |
| 0.1688 | 5.0 | 925 | 0.2167 | 0.9405 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2