hushem_40x_deit_base_n_f4
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1221
- Accuracy: 0.9762
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0638 | 1.0 | 109 | 0.3320 | 0.8810 |
| 0.0062 | 2.0 | 218 | 0.2092 | 0.9048 |
| 0.0052 | 2.99 | 327 | 0.0666 | 0.9762 |
| 0.0022 | 4.0 | 437 | 0.1838 | 0.9524 |
| 0.0002 | 5.0 | 546 | 0.0452 | 0.9762 |
| 0.0 | 6.0 | 655 | 0.1681 | 0.9524 |
| 0.0 | 6.99 | 764 | 0.1386 | 0.9762 |
| 0.0 | 8.0 | 874 | 0.1281 | 0.9762 |
| 0.0 | 9.0 | 983 | 0.1236 | 0.9762 |
| 0.0 | 9.98 | 1090 | 0.1221 | 0.9762 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for hkivancoral/hushem_40x_deit_base_n_f4
Base model
facebook/deit-base-patch16-224