hushem_conflu_deneme_fold2
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: 1.9900
- Accuracy: 0.5333
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 | 1.5124 | 0.2444 |
| 2.1014 | 2.0 | 12 | 1.4172 | 0.2667 |
| 2.1014 | 3.0 | 18 | 1.3682 | 0.2667 |
| 1.3494 | 4.0 | 24 | 1.5568 | 0.3333 |
| 1.1794 | 5.0 | 30 | 1.1703 | 0.3778 |
| 1.1794 | 6.0 | 36 | 1.1853 | 0.5333 |
| 0.9962 | 7.0 | 42 | 0.9960 | 0.5778 |
| 0.9962 | 8.0 | 48 | 0.9911 | 0.5778 |
| 0.7941 | 9.0 | 54 | 1.7710 | 0.4444 |
| 0.6504 | 10.0 | 60 | 1.0188 | 0.5111 |
| 0.6504 | 11.0 | 66 | 1.3899 | 0.4889 |
| 0.3424 | 12.0 | 72 | 1.3633 | 0.5333 |
| 0.3424 | 13.0 | 78 | 1.6911 | 0.4667 |
| 0.1576 | 14.0 | 84 | 1.8405 | 0.5556 |
| 0.0563 | 15.0 | 90 | 1.8925 | 0.5333 |
| 0.0563 | 16.0 | 96 | 2.0167 | 0.5333 |
| 0.0162 | 17.0 | 102 | 1.9900 | 0.5333 |
| 0.0162 | 18.0 | 108 | 1.9900 | 0.5333 |
| 0.009 | 19.0 | 114 | 1.9900 | 0.5333 |
| 0.0088 | 20.0 | 120 | 1.9900 | 0.5333 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1