Chest_Xray
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: 0.6915
- Accuracy: 1.0
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.1803 | 1.0 | 1 | 0.6093 | 1.0 |
| 0.1831 | 2.0 | 2 | 0.6375 | 1.0 |
| 0.1762 | 3.0 | 3 | 0.6897 | 1.0 |
| 0.1753 | 4.0 | 4 | 0.6915 | 1.0 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cpu
- Datasets 2.17.1
- Tokenizers 0.15.2