hushem_conflu_deneme_fold5
This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.9630
- Accuracy: 0.6341
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | 6 | 1.4708 | 0.2439 |
| 1.7951 | 2.0 | 12 | 1.3099 | 0.2439 |
| 1.7951 | 3.0 | 18 | 1.1130 | 0.4146 |
| 1.2772 | 4.0 | 24 | 1.0471 | 0.7073 |
| 1.1124 | 5.0 | 30 | 1.2680 | 0.5366 |
| 1.1124 | 6.0 | 36 | 1.0908 | 0.5122 |
| 0.9481 | 7.0 | 42 | 1.5674 | 0.3902 |
| 0.9481 | 8.0 | 48 | 0.8947 | 0.6098 |
| 0.9653 | 9.0 | 54 | 1.1885 | 0.6098 |
| 0.639 | 10.0 | 60 | 0.9898 | 0.6585 |
| 0.639 | 11.0 | 66 | 1.7943 | 0.4634 |
| 0.5108 | 12.0 | 72 | 1.7088 | 0.5366 |
| 0.5108 | 13.0 | 78 | 1.6432 | 0.5610 |
| 0.1679 | 14.0 | 84 | 1.5598 | 0.5854 |
| 0.1286 | 15.0 | 90 | 2.1600 | 0.5854 |
| 0.1286 | 16.0 | 96 | 1.9849 | 0.5854 |
| 0.0501 | 17.0 | 102 | 1.9630 | 0.6341 |
| 0.0501 | 18.0 | 108 | 1.9630 | 0.6341 |
| 0.0271 | 19.0 | 114 | 1.9630 | 0.6341 |
| 0.0437 | 20.0 | 120 | 1.9630 | 0.6341 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1