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vit-base-patch16-224-dmae-va-da
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4510
- Accuracy: 0.8372
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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.92 | 3 | 1.3352 | 0.3488 |
| No log | 1.85 | 6 | 1.1552 | 0.4186 |
| 1.2778 | 2.77 | 9 | 1.0285 | 0.4651 |
| 1.2778 | 4.0 | 13 | 0.9331 | 0.5116 |
| 0.8889 | 4.92 | 16 | 0.7961 | 0.6279 |
| 0.8889 | 5.85 | 19 | 0.7570 | 0.6977 |
| 0.8889 | 6.77 | 22 | 0.6943 | 0.6977 |
| 0.6605 | 8.0 | 26 | 0.6077 | 0.7442 |
| 0.6605 | 8.92 | 29 | 0.5718 | 0.7209 |
| 0.484 | 9.85 | 32 | 0.5346 | 0.7674 |
| 0.484 | 10.77 | 35 | 0.5174 | 0.7907 |
| 0.484 | 12.0 | 39 | 0.4780 | 0.8140 |
| 0.3193 | 12.92 | 42 | 0.4510 | 0.8372 |
| 0.3193 | 13.85 | 45 | 0.4390 | 0.8372 |
| 0.3161 | 14.77 | 48 | 0.4346 | 0.8372 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
