saketsarin/vit-base-patch16-224-in21k_brain_tumor_diagnosis

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vit-base-patch16-224-in21kbraintumor_diagnosis

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0630
• —Accuracy: 0.9858
• —F1: 0.9858
• —Recall: 0.9858
• —Precision: 0.9858

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
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0
• —Datasets 2.14.6
• —Tokenizers 0.14.1