swin-tiny-patch4-window7-224-vene
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0110
- Accuracy: 1.0
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| No log | 1.0 | 3 | 1.1287 | 0.5 |
| No log | 2.0 | 6 | 0.9960 | 0.5 |
| No log | 3.0 | 9 | 0.7688 | 1.0 |
| 1.096 | 4.0 | 12 | 0.5279 | 1.0 |
| 1.096 | 5.0 | 15 | 0.3896 | 1.0 |
| 1.096 | 6.0 | 18 | 0.3092 | 1.0 |
| 0.2149 | 7.0 | 21 | 0.2241 | 1.0 |
| 0.2149 | 8.0 | 24 | 0.1325 | 1.0 |
| 0.2149 | 9.0 | 27 | 0.0674 | 1.0 |
| 0.0233 | 10.0 | 30 | 0.0325 | 1.0 |
| 0.0233 | 11.0 | 33 | 0.0192 | 1.0 |
| 0.0233 | 12.0 | 36 | 0.0147 | 1.0 |
| 0.0233 | 13.0 | 39 | 0.0135 | 1.0 |
| 0.015 | 14.0 | 42 | 0.0135 | 1.0 |
| 0.015 | 15.0 | 45 | 0.0132 | 1.0 |
| 0.015 | 16.0 | 48 | 0.0122 | 1.0 |
| 0.0029 | 17.0 | 51 | 0.0117 | 1.0 |
| 0.0029 | 18.0 | 54 | 0.0113 | 1.0 |
| 0.0029 | 19.0 | 57 | 0.0111 | 1.0 |
| 0.0005 | 20.0 | 60 | 0.0110 | 1.0 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
