finetuned-BrainTumor-2.0
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the BrainTumorMRIForFineTuningViT dataset. It achieves the following results on the evaluation set:
- Loss: 0.1038
- Accuracy: 0.9743
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: 0.0002
- train_batch_size: 16
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3701 | 0.3289 | 100 | 0.2643 | 0.9183 |
| 0.3706 | 0.6579 | 200 | 0.2855 | 0.9125 |
| 0.1825 | 0.9868 | 300 | 0.1563 | 0.9510 |
| 0.1405 | 1.3158 | 400 | 0.1656 | 0.9382 |
| 0.1684 | 1.6447 | 500 | 0.1038 | 0.9743 |
| 0.1363 | 1.9737 | 600 | 0.1086 | 0.9697 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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