deit-base-mri
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on the mriDataSet dataset. It achieves the following results on the evaluation set:
- Loss: 0.0657
- Accuracy: 0.9901
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0107 | 0.8 | 500 | 0.0782 | 0.9887 |
| 0.0065 | 1.6 | 1000 | 0.0657 | 0.9901 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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