vit-base-patch16-224-dmae-va-U5-20-45-5e-05
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: 0.5800
- Accuracy: 0.8833
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: 5.5e-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: 0.05
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.9 | 7 | 1.3607 | 0.4833 |
1.3752 | 1.94 | 15 | 1.2550 | 0.5833 |
1.2809 | 2.97 | 23 | 1.1436 | 0.65 |
1.1273 | 4.0 | 31 | 1.0381 | 0.5833 |
1.1273 | 4.9 | 38 | 0.9620 | 0.6833 |
0.9919 | 5.94 | 46 | 0.9154 | 0.65 |
0.8971 | 6.97 | 54 | 0.8502 | 0.7667 |
0.8049 | 8.0 | 62 | 0.8644 | 0.75 |
0.8049 | 8.9 | 69 | 0.8010 | 0.7833 |
0.7119 | 9.94 | 77 | 0.7276 | 0.8333 |
0.6172 | 10.97 | 85 | 0.6699 | 0.8167 |
0.5294 | 12.0 | 93 | 0.6532 | 0.8167 |
0.4696 | 12.9 | 100 | 0.6265 | 0.85 |
0.4696 | 13.94 | 108 | 0.6012 | 0.85 |
0.4074 | 14.97 | 116 | 0.5800 | 0.8833 |
0.3822 | 16.0 | 124 | 0.5692 | 0.8667 |
0.3651 | 16.9 | 131 | 0.6065 | 0.8 |
0.3651 | 17.94 | 139 | 0.5681 | 0.8667 |
0.3731 | 18.06 | 140 | 0.5675 | 0.8667 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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