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fine-tuned-model

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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fine-tuned-model
    results: []

fine-tuned-model

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

  • Loss: 0.8720
  • Accuracy: 0.5742

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: 0.0003
  • 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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.9696 1.0 256 0.8925 0.5781
0.9141 2.0 512 0.8447 0.5938
0.8669 3.0 768 0.8378 0.6035
0.8356 4.0 1024 0.8236 0.5938
0.8529 5.0 1280 0.8206 0.6074

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1