hushem_conflu_deneme_fold3
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: 0.9617
- Accuracy: 0.6279
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 | 1.6871 | 0.2558 |
| 1.9835 | 2.0 | 12 | 1.3632 | 0.2326 |
| 1.9835 | 3.0 | 18 | 1.4109 | 0.3256 |
| 1.294 | 4.0 | 24 | 1.3794 | 0.4186 |
| 1.2341 | 5.0 | 30 | 1.2119 | 0.4651 |
| 1.2341 | 6.0 | 36 | 1.4964 | 0.4419 |
| 1.0897 | 7.0 | 42 | 1.2398 | 0.4651 |
| 1.0897 | 8.0 | 48 | 1.0532 | 0.5349 |
| 0.9835 | 9.0 | 54 | 1.1022 | 0.5116 |
| 0.9034 | 10.0 | 60 | 0.9784 | 0.6279 |
| 0.9034 | 11.0 | 66 | 1.5952 | 0.5116 |
| 0.8061 | 12.0 | 72 | 0.9828 | 0.5581 |
| 0.8061 | 13.0 | 78 | 0.9199 | 0.7209 |
| 0.765 | 14.0 | 84 | 1.0672 | 0.5581 |
| 0.6513 | 15.0 | 90 | 1.0129 | 0.6744 |
| 0.6513 | 16.0 | 96 | 0.9247 | 0.6977 |
| 0.4919 | 17.0 | 102 | 0.9617 | 0.6279 |
| 0.4919 | 18.0 | 108 | 0.9617 | 0.6279 |
| 0.4742 | 19.0 | 114 | 0.9617 | 0.6279 |
| 0.4695 | 20.0 | 120 | 0.9617 | 0.6279 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1