swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_13

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swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_13

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0796
• Accuracy: 0.9784
• F1 Score: 0.9786
• Precision: 0.9787
• Sensitivity: 0.9790
• Specificity: 0.9946

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: 0.0001
• train_batch_size: 100
• eval_batch_size: 100
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 400
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3