deit-small-patch16-224-finetuned-eurosat
This model is a fine-tuned version of facebook/deit-small-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6817
- Accuracy: 0.7978
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5174 | 0.9966 | 218 | 1.3672 | 0.5855 |
| 1.282 | 1.9977 | 437 | 1.1843 | 0.6260 |
| 1.117 | 2.9989 | 656 | 1.0301 | 0.6845 |
| 1.0176 | 4.0 | 875 | 0.9670 | 0.7070 |
| 0.9912 | 4.9966 | 1093 | 0.8551 | 0.7477 |
| 0.9458 | 5.9977 | 1312 | 0.8534 | 0.7392 |
| 0.8502 | 6.9989 | 1531 | 0.8049 | 0.7600 |
| 0.8954 | 8.0 | 1750 | 0.7716 | 0.7683 |
| 0.872 | 8.9966 | 1968 | 0.7443 | 0.7779 |
| 0.8186 | 9.9977 | 2187 | 0.7304 | 0.7835 |
| 0.747 | 10.9989 | 2406 | 0.7178 | 0.7911 |
| 0.6843 | 12.0 | 2625 | 0.7062 | 0.7925 |
| 0.7453 | 12.9966 | 2843 | 0.7031 | 0.7939 |
| 0.7472 | 13.9977 | 3062 | 0.6891 | 0.7965 |
| 0.7067 | 14.9486 | 3270 | 0.6817 | 0.7978 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1