vit-xray-pneumonia-classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0867
- Accuracy: 0.9700
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.0067 | 0.9882 | 63 | 0.2101 | 0.9313 |
0.8054 | 1.9882 | 126 | 0.1542 | 0.9519 |
0.7482 | 2.9882 | 189 | 0.1328 | 0.9451 |
0.6 | 3.9882 | 252 | 0.1121 | 0.9588 |
0.5436 | 4.9882 | 315 | 0.1295 | 0.9494 |
0.4978 | 5.9882 | 378 | 0.1167 | 0.9605 |
0.4683 | 6.9882 | 441 | 0.1033 | 0.9622 |
0.4701 | 7.9882 | 504 | 0.1176 | 0.9579 |
0.3527 | 8.9882 | 567 | 0.1119 | 0.9571 |
0.3545 | 9.9882 | 630 | 0.0990 | 0.9639 |
0.3264 | 10.9882 | 693 | 0.0838 | 0.9717 |
0.3305 | 11.9882 | 756 | 0.0733 | 0.9734 |
0.2702 | 12.9882 | 819 | 0.0834 | 0.9717 |
0.2764 | 13.9882 | 882 | 0.0763 | 0.9734 |
0.286 | 14.9882 | 945 | 0.0867 | 0.9700 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for JacobChao/vit-xray-pneumonia-classification
Base model
google/vit-base-patch16-224-in21k