swin-tiny-patch4-window7-224-finetuned-car0005-realimg
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3561
- Accuracy: 0.8868
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7814 | 0.99 | 25 | 1.2810 | 0.5697 |
| 0.8304 | 1.98 | 50 | 0.6863 | 0.7637 |
| 0.5527 | 2.97 | 75 | 0.4411 | 0.8433 |
| 0.4643 | 4.0 | 101 | 0.3700 | 0.8756 |
| 0.3917 | 4.95 | 125 | 0.3561 | 0.8868 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2