vit-small-patch16-224-finetuned-cifar10
This model is a fine-tuned version of WinKawaks/vit-small-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0459
- Accuracy: 0.9844
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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2682 | 1.0 | 390 | 0.0821 | 0.9713 |
| 0.252 | 2.0 | 781 | 0.0502 | 0.9842 |
| 0.173 | 2.99 | 1170 | 0.0459 | 0.9844 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2